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611d92992de419cc5427a81b74c872d81cd71fb4 | 23,971 | py | Python | pyraptor/model/structures.py | yfredrix/pyraptor | a00b1d5576cd4126611483409e293d283cb7917d | [
"MIT"
] | null | null | null | pyraptor/model/structures.py | yfredrix/pyraptor | a00b1d5576cd4126611483409e293d283cb7917d | [
"MIT"
] | null | null | null | pyraptor/model/structures.py | yfredrix/pyraptor | a00b1d5576cd4126611483409e293d283cb7917d | [
"MIT"
] | null | null | null | """Datatypes"""
from __future__ import annotations
from itertools import compress
from collections import defaultdict
from operator import attrgetter
from typing import List, Dict, Tuple
from dataclasses import dataclass, field
from copy import copy
import attr
import numpy as np
from loguru import logger
from pyraptor.util import sec2str
def same_type_and_id(first, second):
"""Same type and ID"""
return type(first) is type(second) and first.id == second.id
@dataclass
class Timetable:
"""Timetable data"""
stations: Stations = None
stops: Stops = None
trips: Trips = None
trip_stop_times: TripStopTimes = None
routes: Routes = None
transfers: Transfers = None
def counts(self) -> None:
"""Print timetable counts"""
logger.debug("Counts:")
logger.debug("Stations : {}", len(self.stations))
logger.debug("Routes : {}", len(self.routes))
logger.debug("Trips : {}", len(self.trips))
logger.debug("Stops : {}", len(self.stops))
logger.debug("Stop Times : {}", len(self.trip_stop_times))
logger.debug("Transfers : {}", len(self.transfers))
@attr.s(repr=False, cmp=False)
class Stop:
"""Stop"""
id = attr.ib(default=None)
name = attr.ib(default=None)
station: Station = attr.ib(default=None)
platform_code = attr.ib(default=None)
index = attr.ib(default=None)
class Stops:
"""Stops"""
def get(self, stop_id):
"""Get stop"""
if stop_id not in self.set_idx:
raise ValueError(f"Stop ID {stop_id} not present in Stops")
stop = self.set_idx[stop_id]
return stop
def get_by_index(self, stop_index) -> Stop:
"""Get stop by index"""
return self.set_index[stop_index]
def add(self, stop):
"""Add stop"""
if stop.id in self.set_idx:
stop = self.set_idx[stop.id]
else:
stop.index = self.last_index
self.set_idx[stop.id] = stop
self.set_index[stop.index] = stop
self.last_index += 1
return stop
@attr.s(repr=False, cmp=False)
class Station:
"""Stop dataclass"""
id = attr.ib(default=None)
name = attr.ib(default=None)
stops = attr.ib(default=attr.Factory(list))
class Stations:
"""Stations"""
def add(self, station: Station):
"""Add station"""
if station.id in self.set_idx:
station = self.set_idx[station.id]
else:
self.set_idx[station.id] = station
return station
def get(self, station: Station):
"""Get station"""
if isinstance(station, Station):
station = station.id
if station not in self.set_idx:
return None
return self.set_idx[station]
def get_stops(self, station_name):
"""Get all stop ids from station, i.e. platform stop ids belonging to station"""
return self.set_idx[station_name].stops
@attr.s(repr=False)
class TripStopTime:
"""Trip Stop"""
trip: Trip = attr.ib(default=attr.NOTHING)
stopidx = attr.ib(default=attr.NOTHING)
stop = attr.ib(default=attr.NOTHING)
dts_arr = attr.ib(default=attr.NOTHING)
dts_dep = attr.ib(default=attr.NOTHING)
fare = attr.ib(default=0.0)
class TripStopTimes:
"""Trip Stop Times"""
def add(self, trip_stop_time: TripStopTime):
"""Add trip stop time"""
self.set_idx[(trip_stop_time.trip, trip_stop_time.stopidx)] = trip_stop_time
self.stop_trip_idx[trip_stop_time.stop].append(trip_stop_time)
def get_trip_stop_times_in_range(self, stops, dep_secs_min, dep_secs_max):
"""Returns all trip stop times with departure time within range"""
in_window = [
tst
for tst in self
if tst.dts_dep >= dep_secs_min
and tst.dts_dep <= dep_secs_max
and tst.stop in stops
]
return in_window
def get_earliest_trip(self, stop: Stop, dep_secs: int) -> Trip:
"""Earliest trip"""
trip_stop_times = self.stop_trip_idx[stop]
in_window = [tst for tst in trip_stop_times if tst.dts_dep >= dep_secs]
return in_window[0].trip if len(in_window) > 0 else None
def get_earliest_trip_stop_time(self, stop: Stop, dep_secs: int) -> TripStopTime:
"""Earliest trip stop time"""
trip_stop_times = self.stop_trip_idx[stop]
in_window = [tst for tst in trip_stop_times if tst.dts_dep >= dep_secs]
return in_window[0] if len(in_window) > 0 else None
@attr.s(repr=False, cmp=False)
class Trip:
"""Trip"""
id = attr.ib(default=None)
stop_times = attr.ib(default=attr.Factory(list))
stop_times_index = attr.ib(default=attr.Factory(dict))
hint = attr.ib(default=None)
long_name = attr.ib(default=None) # e.g., Sprinter
def trip_stop_ids(self):
"""Tuple of all stop ids in trip"""
return tuple([s.stop.id for s in self.stop_times])
def add_stop_time(self, stop_time: TripStopTime):
"""Add stop time"""
if np.isfinite(stop_time.dts_arr) and np.isfinite(stop_time.dts_dep):
assert stop_time.dts_arr <= stop_time.dts_dep
assert (
not self.stop_times or self.stop_times[-1].dts_dep <= stop_time.dts_arr
)
self.stop_times.append(stop_time)
self.stop_times_index[stop_time.stop] = len(self.stop_times) - 1
def get_stop(self, stop: Stop) -> TripStopTime:
"""Get stop"""
return self.stop_times[self.stop_times_index[stop]]
def get_fare(self, depart_stop: Stop) -> int:
"""Get fare from depart_stop"""
stop_time = self.get_stop(depart_stop)
return 0 if stop_time is None else stop_time.fare
class Trips:
"""Trips"""
def add(self, trip):
"""Add trip"""
assert len(trip) >= 2, "must have 2 stop times"
trip.id = self.last_id
self.set_idx[trip.id] = trip
self.last_id += 1
@attr.s(repr=False, cmp=False)
class Route:
"""Route"""
id = attr.ib(default=None)
trips = attr.ib(default=attr.Factory(list))
stops = attr.ib(default=attr.Factory(list))
stop_order = attr.ib(default=attr.Factory(dict))
def add_trip(self, trip: Trip) -> None:
"""Add trip"""
self.trips.append(trip)
def add_stop(self, stop: Stop) -> None:
"""Add stop"""
self.stops.append(stop)
# (re)make dict to save the order of the stops in the route
self.stop_order = {stop: index for index, stop in enumerate(self.stops)}
def stop_index(self, stop: Stop):
"""Stop index"""
return self.stop_order[stop]
def earliest_trip(self, dts_arr: int, stop: Stop) -> Trip:
"""Returns earliest trip after time dts (sec)"""
stop_idx = self.stop_index(stop)
trip_stop_times = [trip.stop_times[stop_idx] for trip in self.trips]
trip_stop_times = [tst for tst in trip_stop_times if tst.dts_dep >= dts_arr]
trip_stop_times = sorted(trip_stop_times, key=attrgetter("dts_dep"))
return trip_stop_times[0].trip if len(trip_stop_times) > 0 else None
def earliest_trip_stop_time(self, dts_arr: int, stop: Stop) -> TripStopTime:
"""Returns earliest trip stop time after time dts (sec)"""
stop_idx = self.stop_index(stop)
trip_stop_times = [trip.stop_times[stop_idx] for trip in self.trips]
trip_stop_times = [tst for tst in trip_stop_times if tst.dts_dep >= dts_arr]
trip_stop_times = sorted(trip_stop_times, key=attrgetter("dts_dep"))
return trip_stop_times[0] if len(trip_stop_times) > 0 else None
class Routes:
"""Routes"""
def add(self, trip: Trip):
"""Add trip to route. Make route if not exists."""
trip_stop_ids = trip.trip_stop_ids()
if trip_stop_ids in self.set_stops_idx:
# Route already exists
route = self.set_stops_idx[trip_stop_ids]
else:
# Route does not exist yet, make new route
route = Route()
route.id = self.last_id
# Maintain stops in route and list of routes per stop
for trip_stop_time in trip:
route.add_stop(trip_stop_time.stop)
self.stop_to_routes[trip_stop_time.stop].append(route)
# Efficient lookups
self.set_stops_idx[trip_stop_ids] = route
self.set_idx[route.id] = route
self.last_id += 1
# Add trip
route.add_trip(trip)
return route
def get_routes_of_stop(self, stop: Stop):
"""Get routes of stop"""
return self.stop_to_routes[stop]
@attr.s(repr=False, cmp=False)
class Transfer:
"""Transfer"""
id = attr.ib(default=None)
from_stop = attr.ib(default=None)
to_stop = attr.ib(default=None)
layovertime = attr.ib(default=300)
class Transfers:
"""Transfers"""
def add(self, transfer: Transfer):
"""Add trip"""
transfer.id = self.last_id
self.set_idx[transfer.id] = transfer
self.stop_to_stop_idx[(transfer.from_stop, transfer.to_stop)] = transfer
self.last_id += 1
@dataclass
class Leg:
"""Leg"""
from_stop: Stop
to_stop: Stop
trip: Trip
earliest_arrival_time: int
fare: int = 0
n_trips: int = 0
@property
def criteria(self):
"""Criteria"""
return [self.earliest_arrival_time, self.fare, self.n_trips]
@property
def dep(self):
"""Departure time"""
return [
tst.dts_dep for tst in self.trip.stop_times if self.from_stop == tst.stop
][0]
@property
def arr(self):
"""Arrival time"""
return [
tst.dts_arr for tst in self.trip.stop_times if self.to_stop == tst.stop
][0]
def is_transfer(self):
"""Is transfer leg"""
return self.from_stop.station == self.to_stop.station
def is_compatible_before(self, other_leg: Leg):
"""
Check if Leg is allowed before another leg. That is,
- It is possible to go from current leg to other leg concerning arrival time
- Number of trips of current leg differs by > 1, i.e. a differen trip,
or >= 0 when the other_leg is a transfer_leg
- The accumulated value of a criteria of current leg is larger or equal to the accumulated value of
the other leg (current leg is instance of this class)
"""
arrival_time_compatible = (
other_leg.earliest_arrival_time >= self.earliest_arrival_time
)
n_trips_compatible = (
other_leg.n_trips >= self.n_trips
if other_leg.is_transfer()
else other_leg.n_trips > self.n_trips
)
criteria_compatible = np.all(
np.array([c for c in other_leg.criteria])
>= np.array([c for c in self.criteria])
)
return all([arrival_time_compatible, n_trips_compatible, criteria_compatible])
def to_dict(self, leg_index: int = None) -> Dict:
"""Leg to readable dictionary"""
return dict(
trip_leg_idx=leg_index,
departure_time=self.dep,
arrival_time=self.arr,
from_stop=self.from_stop.name,
from_station=self.from_stop.station.name,
to_stop=self.to_stop.name,
to_station=self.to_stop.station.name,
trip_hint=self.trip.hint,
trip_long_name=self.trip.long_name,
from_platform_code=self.from_stop.platform_code,
to_platform_code=self.to_stop.platform_code,
fare=self.fare,
)
@dataclass(frozen=True)
class Label:
"""Label"""
earliest_arrival_time: int
fare: int # total fare
trip: Trip # trip to take to obtain travel_time and fare
from_stop: Stop # stop to hop-on the trip
n_trips: int = 0
infinite: bool = False
@property
def criteria(self):
"""Criteria"""
return [self.earliest_arrival_time, self.fare, self.n_trips]
def update(self, earliest_arrival_time=None, fare_addition=None, from_stop=None):
"""Update earliest arrival time and add fare_addition to fare"""
return copy(
Label(
earliest_arrival_time=earliest_arrival_time
if earliest_arrival_time is not None
else self.earliest_arrival_time,
fare=self.fare + fare_addition
if fare_addition is not None
else self.fare,
trip=self.trip,
from_stop=from_stop if from_stop is not None else self.from_stop,
n_trips=self.n_trips,
infinite=self.infinite,
)
)
def update_trip(self, trip: Trip, current_stop: Stop):
"""Update trip"""
return copy(
Label(
earliest_arrival_time=self.earliest_arrival_time,
fare=self.fare,
trip=trip,
from_stop=current_stop if self.trip != trip else self.from_stop,
n_trips=self.n_trips + 1 if self.trip != trip else self.n_trips,
infinite=self.infinite,
)
)
@dataclass(frozen=True)
class Bag:
"""
Bag B(k,p) or route bag B_r
"""
labels: List[Label] = field(default_factory=list)
update: bool = False
def add(self, label: Label):
"""Add"""
self.labels.append(label)
def merge(self, other_bag: Bag) -> Bag:
"""Merge other bag in bag and return true if bag is updated"""
pareto_labels = self.labels + other_bag.labels
if len(pareto_labels) == 0:
return Bag(labels=[], update=False)
pareto_labels = pareto_set(pareto_labels)
bag_update = True if pareto_labels != self.labels else False
return Bag(labels=pareto_labels, update=bag_update)
def labels_with_trip(self):
"""All labels with trips, i.e. all labels that are reachable with a trip with given criterion"""
return [l for l in self.labels if l.trip is not None]
def earliest_arrival(self) -> int:
"""Earliest arrival"""
return min([self.labels[i].earliest_arrival_time for i in range(len(self))])
@dataclass(frozen=True)
class Journey:
"""
Journey from origin to destination specified as Legs
"""
legs: List[Leg] = field(default_factory=list)
def number_of_trips(self):
"""Return number of distinct trips"""
trips = set([l.trip for l in self.legs])
return len(trips)
def prepend_leg(self, leg: Leg) -> Journey:
"""Add leg to journey"""
legs = self.legs
legs.insert(0, leg)
jrny = Journey(legs=legs)
return jrny
def remove_transfer_legs(self) -> Journey:
"""Remove all transfer legs"""
legs = [
leg
for leg in self.legs
if (leg.trip is not None) and (leg.from_stop.station != leg.to_stop.station)
]
jrny = Journey(legs=legs)
return jrny
def is_valid(self) -> bool:
"""Is valid journey"""
for index in range(len(self.legs) - 1):
if self.legs[index].arr > self.legs[index + 1].dep:
return False
return True
def from_stop(self) -> Stop:
"""Origin stop of Journey"""
return self.legs[0].from_stop
def to_stop(self) -> Stop:
"""Destination stop of Journey"""
return self.legs[-1].to_stop
def fare(self) -> float:
"""Total fare of Journey"""
return self.legs[-1].fare
def dep(self) -> int:
"""Departure time"""
return self.legs[0].dep
def arr(self) -> int:
"""Arrival time"""
return self.legs[-1].arr
def travel_time(self) -> int:
"""Travel time in seconds"""
return self.arr() - self.dep()
def dominates(self, jrny: Journey):
"""Dominates other Journey"""
return (
True
if (
(self.dep() >= jrny.dep())
and (self.arr() <= jrny.arr())
and (self.fare() <= jrny.fare())
and (self.number_of_trips() <= jrny.number_of_trips())
)
and (self != jrny)
else False
)
def print(self, dep_secs=None):
"""Print the given journey to logger info"""
logger.info("Journey:")
if len(self) == 0:
logger.info("No journey available")
return
# Print all legs in journey
for leg in self:
msg = (
str(sec2str(leg.dep))
+ " "
+ leg.from_stop.station.name.ljust(20)
+ "(p. "
+ str(leg.from_stop.platform_code).rjust(3)
+ ") TO "
+ str(sec2str(leg.arr))
+ " "
+ leg.to_stop.station.name.ljust(20)
+ "(p. "
+ str(leg.to_stop.platform_code).rjust(3)
+ ") WITH "
+ str(leg.trip.hint)
)
logger.info(msg)
logger.info(f"Fare: €{self.fare()}")
msg = f"Duration: {sec2str(self.travel_time())}"
if dep_secs:
msg += " ({} from request time {})".format(
sec2str(self.arr() - dep_secs), sec2str(dep_secs),
)
logger.info(msg)
logger.info("")
def to_list(self) -> List[Dict]:
"""Convert journey to list of legs as dict"""
return [leg.to_dict(leg_index=idx) for idx, leg in enumerate(self.legs)]
def pareto_set(labels: List[Label], keep_equal=False):
"""
Find the pareto-efficient points
:param labels: list with labels
:keep_equal return also labels with equal criteria
:return: list with pairwise non-dominating labels
"""
is_efficient = np.ones(len(labels), dtype=bool)
labels_criteria = np.array([label.criteria for label in labels])
for i, label in enumerate(labels_criteria):
if is_efficient[i]:
# Keep any point with a lower cost
if keep_equal:
# keep point with all labels equal or one lower
is_efficient[is_efficient] = np.any(
labels_criteria[is_efficient] < label, axis=1
) + np.all(labels_criteria[is_efficient] == label, axis=1)
else:
is_efficient[is_efficient] = np.any(
labels_criteria[is_efficient] < label, axis=1
)
is_efficient[i] = True # And keep self
return list(compress(labels, is_efficient))
| 29.889027 | 110 | 0.597931 | """Datatypes"""
from __future__ import annotations
from itertools import compress
from collections import defaultdict
from operator import attrgetter
from typing import List, Dict, Tuple
from dataclasses import dataclass, field
from copy import copy
import attr
import numpy as np
from loguru import logger
from pyraptor.util import sec2str
def same_type_and_id(first, second):
"""Same type and ID"""
return type(first) is type(second) and first.id == second.id
@dataclass
class Timetable:
"""Timetable data"""
stations: Stations = None
stops: Stops = None
trips: Trips = None
trip_stop_times: TripStopTimes = None
routes: Routes = None
transfers: Transfers = None
def counts(self) -> None:
"""Print timetable counts"""
logger.debug("Counts:")
logger.debug("Stations : {}", len(self.stations))
logger.debug("Routes : {}", len(self.routes))
logger.debug("Trips : {}", len(self.trips))
logger.debug("Stops : {}", len(self.stops))
logger.debug("Stop Times : {}", len(self.trip_stop_times))
logger.debug("Transfers : {}", len(self.transfers))
@attr.s(repr=False, cmp=False)
class Stop:
"""Stop"""
id = attr.ib(default=None)
name = attr.ib(default=None)
station: Station = attr.ib(default=None)
platform_code = attr.ib(default=None)
index = attr.ib(default=None)
def __hash__(self):
return hash(self.id)
def __eq__(self, stop):
return type(self) is type(stop) and self.id == stop.id
def __repr__(self):
if self.id == self.name:
return f"Stop({self.id})"
return f"Stop({self.name} [{self.id}])"
class Stops:
"""Stops"""
def __init__(self):
self.set_idx = dict()
self.set_index = dict()
self.last_index = 1
def __repr__(self):
return f"Stops(n_stops={len(self.set_idx)})"
def __getitem__(self, stop_id):
return self.set_idx[stop_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def get(self, stop_id):
"""Get stop"""
if stop_id not in self.set_idx:
raise ValueError(f"Stop ID {stop_id} not present in Stops")
stop = self.set_idx[stop_id]
return stop
def get_by_index(self, stop_index) -> Stop:
"""Get stop by index"""
return self.set_index[stop_index]
def add(self, stop):
"""Add stop"""
if stop.id in self.set_idx:
stop = self.set_idx[stop.id]
else:
stop.index = self.last_index
self.set_idx[stop.id] = stop
self.set_index[stop.index] = stop
self.last_index += 1
return stop
@attr.s(repr=False, cmp=False)
class Station:
"""Stop dataclass"""
id = attr.ib(default=None)
name = attr.ib(default=None)
stops = attr.ib(default=attr.Factory(list))
def __hash__(self):
return hash(self.id)
def __eq__(self, stop):
return same_type_and_id(self, stop)
def __repr__(self):
if self.id == self.name:
return "Station({})".format(self.id)
return "Station({} [{}])>".format(self.name, self.id)
def add_stop(self, stop: Stop):
self.stops.append(stop)
class Stations:
"""Stations"""
def __init__(self):
self.set_idx = dict()
def __repr__(self):
return f"<Stations(n_stations={len(self.set_idx)})>"
def __getitem__(self, station_id):
return self.set_idx[station_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def add(self, station: Station):
"""Add station"""
if station.id in self.set_idx:
station = self.set_idx[station.id]
else:
self.set_idx[station.id] = station
return station
def get(self, station: Station):
"""Get station"""
if isinstance(station, Station):
station = station.id
if station not in self.set_idx:
return None
return self.set_idx[station]
def get_stops(self, station_name):
"""Get all stop ids from station, i.e. platform stop ids belonging to station"""
return self.set_idx[station_name].stops
@attr.s(repr=False)
class TripStopTime:
"""Trip Stop"""
trip: Trip = attr.ib(default=attr.NOTHING)
stopidx = attr.ib(default=attr.NOTHING)
stop = attr.ib(default=attr.NOTHING)
dts_arr = attr.ib(default=attr.NOTHING)
dts_dep = attr.ib(default=attr.NOTHING)
fare = attr.ib(default=0.0)
def __hash__(self):
return hash((self.trip, self.stopidx))
def __repr__(self):
return (
"TripStopTime(trip_id={hint}{trip_id}, stopidx={0.stopidx},"
" stop_id={0.stop.id}, dts_arr={0.dts_arr}, dts_dep={0.dts_dep}, fare={0.fare})"
).format(
self,
trip_id=self.trip.id if self.trip else None,
hint="{}:".format(self.trip.hint) if self.trip and self.trip.hint else "",
)
class TripStopTimes:
"""Trip Stop Times"""
def __init__(self):
self.set_idx: Dict[Tuple[Trip, int], TripStopTime] = dict()
self.stop_trip_idx: Dict[Stop, List[TripStopTime]] = defaultdict(list)
def __repr__(self):
return f"TripStoptimes(n_tripstoptimes={len(self.set_idx)})"
def __getitem__(self, trip_id):
return self.set_idx[trip_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def add(self, trip_stop_time: TripStopTime):
"""Add trip stop time"""
self.set_idx[(trip_stop_time.trip, trip_stop_time.stopidx)] = trip_stop_time
self.stop_trip_idx[trip_stop_time.stop].append(trip_stop_time)
def get_trip_stop_times_in_range(self, stops, dep_secs_min, dep_secs_max):
"""Returns all trip stop times with departure time within range"""
in_window = [
tst
for tst in self
if tst.dts_dep >= dep_secs_min
and tst.dts_dep <= dep_secs_max
and tst.stop in stops
]
return in_window
def get_earliest_trip(self, stop: Stop, dep_secs: int) -> Trip:
"""Earliest trip"""
trip_stop_times = self.stop_trip_idx[stop]
in_window = [tst for tst in trip_stop_times if tst.dts_dep >= dep_secs]
return in_window[0].trip if len(in_window) > 0 else None
def get_earliest_trip_stop_time(self, stop: Stop, dep_secs: int) -> TripStopTime:
"""Earliest trip stop time"""
trip_stop_times = self.stop_trip_idx[stop]
in_window = [tst for tst in trip_stop_times if tst.dts_dep >= dep_secs]
return in_window[0] if len(in_window) > 0 else None
@attr.s(repr=False, cmp=False)
class Trip:
"""Trip"""
id = attr.ib(default=None)
stop_times = attr.ib(default=attr.Factory(list))
stop_times_index = attr.ib(default=attr.Factory(dict))
hint = attr.ib(default=None)
long_name = attr.ib(default=None) # e.g., Sprinter
def __hash__(self):
return hash(self.id)
def __eq__(self, trip):
return same_type_and_id(self, trip)
def __repr__(self):
return "Trip(hint={hint}, stop_times={stop_times})".format(
hint=self.hint if self.hint is not None else self.id,
stop_times=len(self.stop_times),
)
def __getitem__(self, n):
return self.stop_times[n]
def __len__(self):
return len(self.stop_times)
def __iter__(self):
return iter(self.stop_times)
def trip_stop_ids(self):
"""Tuple of all stop ids in trip"""
return tuple([s.stop.id for s in self.stop_times])
def add_stop_time(self, stop_time: TripStopTime):
"""Add stop time"""
if np.isfinite(stop_time.dts_arr) and np.isfinite(stop_time.dts_dep):
assert stop_time.dts_arr <= stop_time.dts_dep
assert (
not self.stop_times or self.stop_times[-1].dts_dep <= stop_time.dts_arr
)
self.stop_times.append(stop_time)
self.stop_times_index[stop_time.stop] = len(self.stop_times) - 1
def get_stop(self, stop: Stop) -> TripStopTime:
"""Get stop"""
return self.stop_times[self.stop_times_index[stop]]
def get_fare(self, depart_stop: Stop) -> int:
"""Get fare from depart_stop"""
stop_time = self.get_stop(depart_stop)
return 0 if stop_time is None else stop_time.fare
class Trips:
"""Trips"""
def __init__(self):
self.set_idx = dict()
self.last_id = 1
def __repr__(self):
return f"Trips(n_trips={len(self.set_idx)})"
def __getitem__(self, trip_id):
return self.set_idx[trip_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def add(self, trip):
"""Add trip"""
assert len(trip) >= 2, "must have 2 stop times"
trip.id = self.last_id
self.set_idx[trip.id] = trip
self.last_id += 1
@attr.s(repr=False, cmp=False)
class Route:
"""Route"""
id = attr.ib(default=None)
trips = attr.ib(default=attr.Factory(list))
stops = attr.ib(default=attr.Factory(list))
stop_order = attr.ib(default=attr.Factory(dict))
def __hash__(self):
return hash(self.id)
def __eq__(self, trip):
return same_type_and_id(self, trip)
def __repr__(self):
return "Route(id={0.id}, trips={trips})".format(self, trips=len(self.trips),)
def __getitem__(self, n):
return self.trips[n]
def __len__(self):
return len(self.trips)
def __iter__(self):
return iter(self.trips)
def add_trip(self, trip: Trip) -> None:
"""Add trip"""
self.trips.append(trip)
def add_stop(self, stop: Stop) -> None:
"""Add stop"""
self.stops.append(stop)
# (re)make dict to save the order of the stops in the route
self.stop_order = {stop: index for index, stop in enumerate(self.stops)}
def stop_index(self, stop: Stop):
"""Stop index"""
return self.stop_order[stop]
def earliest_trip(self, dts_arr: int, stop: Stop) -> Trip:
"""Returns earliest trip after time dts (sec)"""
stop_idx = self.stop_index(stop)
trip_stop_times = [trip.stop_times[stop_idx] for trip in self.trips]
trip_stop_times = [tst for tst in trip_stop_times if tst.dts_dep >= dts_arr]
trip_stop_times = sorted(trip_stop_times, key=attrgetter("dts_dep"))
return trip_stop_times[0].trip if len(trip_stop_times) > 0 else None
def earliest_trip_stop_time(self, dts_arr: int, stop: Stop) -> TripStopTime:
"""Returns earliest trip stop time after time dts (sec)"""
stop_idx = self.stop_index(stop)
trip_stop_times = [trip.stop_times[stop_idx] for trip in self.trips]
trip_stop_times = [tst for tst in trip_stop_times if tst.dts_dep >= dts_arr]
trip_stop_times = sorted(trip_stop_times, key=attrgetter("dts_dep"))
return trip_stop_times[0] if len(trip_stop_times) > 0 else None
class Routes:
"""Routes"""
def __init__(self):
self.set_idx = dict()
self.set_stops_idx = dict()
self.stop_to_routes = defaultdict(list) # {Stop: [Route]}
self.last_id = 1
def __repr__(self):
return f"Routes(n_routes={len(self.set_idx)})"
def __getitem__(self, route_id):
return self.set_idx[route_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def add(self, trip: Trip):
"""Add trip to route. Make route if not exists."""
trip_stop_ids = trip.trip_stop_ids()
if trip_stop_ids in self.set_stops_idx:
# Route already exists
route = self.set_stops_idx[trip_stop_ids]
else:
# Route does not exist yet, make new route
route = Route()
route.id = self.last_id
# Maintain stops in route and list of routes per stop
for trip_stop_time in trip:
route.add_stop(trip_stop_time.stop)
self.stop_to_routes[trip_stop_time.stop].append(route)
# Efficient lookups
self.set_stops_idx[trip_stop_ids] = route
self.set_idx[route.id] = route
self.last_id += 1
# Add trip
route.add_trip(trip)
return route
def get_routes_of_stop(self, stop: Stop):
"""Get routes of stop"""
return self.stop_to_routes[stop]
@attr.s(repr=False, cmp=False)
class Transfer:
"""Transfer"""
id = attr.ib(default=None)
from_stop = attr.ib(default=None)
to_stop = attr.ib(default=None)
layovertime = attr.ib(default=300)
def __hash__(self):
return hash(self.id)
def __eq__(self, trip):
return same_type_and_id(self, trip)
def __repr__(self):
return f"Transfer(from_stop={self.from_stop}, to_stop={self.to_stop}, layovertime={self.layovertime})"
class Transfers:
"""Transfers"""
def __init__(self):
self.set_idx = dict()
self.stop_to_stop_idx = dict()
self.last_id = 1
def __repr__(self):
return f"Transfers(n_transfers={len(self.set_idx)})"
def __getitem__(self, transfer_id):
return self.set_idx[transfer_id]
def __len__(self):
return len(self.set_idx)
def __iter__(self):
return iter(self.set_idx.values())
def add(self, transfer: Transfer):
"""Add trip"""
transfer.id = self.last_id
self.set_idx[transfer.id] = transfer
self.stop_to_stop_idx[(transfer.from_stop, transfer.to_stop)] = transfer
self.last_id += 1
@dataclass
class Leg:
"""Leg"""
from_stop: Stop
to_stop: Stop
trip: Trip
earliest_arrival_time: int
fare: int = 0
n_trips: int = 0
@property
def criteria(self):
"""Criteria"""
return [self.earliest_arrival_time, self.fare, self.n_trips]
@property
def dep(self):
"""Departure time"""
return [
tst.dts_dep for tst in self.trip.stop_times if self.from_stop == tst.stop
][0]
@property
def arr(self):
"""Arrival time"""
return [
tst.dts_arr for tst in self.trip.stop_times if self.to_stop == tst.stop
][0]
def is_transfer(self):
"""Is transfer leg"""
return self.from_stop.station == self.to_stop.station
def is_compatible_before(self, other_leg: Leg):
"""
Check if Leg is allowed before another leg. That is,
- It is possible to go from current leg to other leg concerning arrival time
- Number of trips of current leg differs by > 1, i.e. a differen trip,
or >= 0 when the other_leg is a transfer_leg
- The accumulated value of a criteria of current leg is larger or equal to the accumulated value of
the other leg (current leg is instance of this class)
"""
arrival_time_compatible = (
other_leg.earliest_arrival_time >= self.earliest_arrival_time
)
n_trips_compatible = (
other_leg.n_trips >= self.n_trips
if other_leg.is_transfer()
else other_leg.n_trips > self.n_trips
)
criteria_compatible = np.all(
np.array([c for c in other_leg.criteria])
>= np.array([c for c in self.criteria])
)
return all([arrival_time_compatible, n_trips_compatible, criteria_compatible])
def to_dict(self, leg_index: int = None) -> Dict:
"""Leg to readable dictionary"""
return dict(
trip_leg_idx=leg_index,
departure_time=self.dep,
arrival_time=self.arr,
from_stop=self.from_stop.name,
from_station=self.from_stop.station.name,
to_stop=self.to_stop.name,
to_station=self.to_stop.station.name,
trip_hint=self.trip.hint,
trip_long_name=self.trip.long_name,
from_platform_code=self.from_stop.platform_code,
to_platform_code=self.to_stop.platform_code,
fare=self.fare,
)
@dataclass(frozen=True)
class Label:
"""Label"""
earliest_arrival_time: int
fare: int # total fare
trip: Trip # trip to take to obtain travel_time and fare
from_stop: Stop # stop to hop-on the trip
n_trips: int = 0
infinite: bool = False
@property
def criteria(self):
"""Criteria"""
return [self.earliest_arrival_time, self.fare, self.n_trips]
def update(self, earliest_arrival_time=None, fare_addition=None, from_stop=None):
"""Update earliest arrival time and add fare_addition to fare"""
return copy(
Label(
earliest_arrival_time=earliest_arrival_time
if earliest_arrival_time is not None
else self.earliest_arrival_time,
fare=self.fare + fare_addition
if fare_addition is not None
else self.fare,
trip=self.trip,
from_stop=from_stop if from_stop is not None else self.from_stop,
n_trips=self.n_trips,
infinite=self.infinite,
)
)
def update_trip(self, trip: Trip, current_stop: Stop):
"""Update trip"""
return copy(
Label(
earliest_arrival_time=self.earliest_arrival_time,
fare=self.fare,
trip=trip,
from_stop=current_stop if self.trip != trip else self.from_stop,
n_trips=self.n_trips + 1 if self.trip != trip else self.n_trips,
infinite=self.infinite,
)
)
@dataclass(frozen=True)
class Bag:
"""
Bag B(k,p) or route bag B_r
"""
labels: List[Label] = field(default_factory=list)
update: bool = False
def __len__(self):
return len(self.labels)
def __repr__(self):
return f"Bag({self.labels}, update={self.update})"
def add(self, label: Label):
"""Add"""
self.labels.append(label)
def merge(self, other_bag: Bag) -> Bag:
"""Merge other bag in bag and return true if bag is updated"""
pareto_labels = self.labels + other_bag.labels
if len(pareto_labels) == 0:
return Bag(labels=[], update=False)
pareto_labels = pareto_set(pareto_labels)
bag_update = True if pareto_labels != self.labels else False
return Bag(labels=pareto_labels, update=bag_update)
def labels_with_trip(self):
"""All labels with trips, i.e. all labels that are reachable with a trip with given criterion"""
return [l for l in self.labels if l.trip is not None]
def earliest_arrival(self) -> int:
"""Earliest arrival"""
return min([self.labels[i].earliest_arrival_time for i in range(len(self))])
@dataclass(frozen=True)
class Journey:
"""
Journey from origin to destination specified as Legs
"""
legs: List[Leg] = field(default_factory=list)
def __len__(self):
return len(self.legs)
def __repr__(self):
return f"Journey(n_legs={len(self.legs)})"
def __getitem__(self, index):
return self.legs[index]
def __iter__(self):
return iter(self.legs)
def __lt__(self, other):
return self.dep() < other.dep()
def number_of_trips(self):
"""Return number of distinct trips"""
trips = set([l.trip for l in self.legs])
return len(trips)
def prepend_leg(self, leg: Leg) -> Journey:
"""Add leg to journey"""
legs = self.legs
legs.insert(0, leg)
jrny = Journey(legs=legs)
return jrny
def remove_transfer_legs(self) -> Journey:
"""Remove all transfer legs"""
legs = [
leg
for leg in self.legs
if (leg.trip is not None) and (leg.from_stop.station != leg.to_stop.station)
]
jrny = Journey(legs=legs)
return jrny
def is_valid(self) -> bool:
"""Is valid journey"""
for index in range(len(self.legs) - 1):
if self.legs[index].arr > self.legs[index + 1].dep:
return False
return True
def from_stop(self) -> Stop:
"""Origin stop of Journey"""
return self.legs[0].from_stop
def to_stop(self) -> Stop:
"""Destination stop of Journey"""
return self.legs[-1].to_stop
def fare(self) -> float:
"""Total fare of Journey"""
return self.legs[-1].fare
def dep(self) -> int:
"""Departure time"""
return self.legs[0].dep
def arr(self) -> int:
"""Arrival time"""
return self.legs[-1].arr
def travel_time(self) -> int:
"""Travel time in seconds"""
return self.arr() - self.dep()
def dominates(self, jrny: Journey):
"""Dominates other Journey"""
return (
True
if (
(self.dep() >= jrny.dep())
and (self.arr() <= jrny.arr())
and (self.fare() <= jrny.fare())
and (self.number_of_trips() <= jrny.number_of_trips())
)
and (self != jrny)
else False
)
def print(self, dep_secs=None):
"""Print the given journey to logger info"""
logger.info("Journey:")
if len(self) == 0:
logger.info("No journey available")
return
# Print all legs in journey
for leg in self:
msg = (
str(sec2str(leg.dep))
+ " "
+ leg.from_stop.station.name.ljust(20)
+ "(p. "
+ str(leg.from_stop.platform_code).rjust(3)
+ ") TO "
+ str(sec2str(leg.arr))
+ " "
+ leg.to_stop.station.name.ljust(20)
+ "(p. "
+ str(leg.to_stop.platform_code).rjust(3)
+ ") WITH "
+ str(leg.trip.hint)
)
logger.info(msg)
logger.info(f"Fare: €{self.fare()}")
msg = f"Duration: {sec2str(self.travel_time())}"
if dep_secs:
msg += " ({} from request time {})".format(
sec2str(self.arr() - dep_secs), sec2str(dep_secs),
)
logger.info(msg)
logger.info("")
def to_list(self) -> List[Dict]:
"""Convert journey to list of legs as dict"""
return [leg.to_dict(leg_index=idx) for idx, leg in enumerate(self.legs)]
def pareto_set(labels: List[Label], keep_equal=False):
"""
Find the pareto-efficient points
:param labels: list with labels
:keep_equal return also labels with equal criteria
:return: list with pairwise non-dominating labels
"""
is_efficient = np.ones(len(labels), dtype=bool)
labels_criteria = np.array([label.criteria for label in labels])
for i, label in enumerate(labels_criteria):
if is_efficient[i]:
# Keep any point with a lower cost
if keep_equal:
# keep point with all labels equal or one lower
is_efficient[is_efficient] = np.any(
labels_criteria[is_efficient] < label, axis=1
) + np.all(labels_criteria[is_efficient] == label, axis=1)
else:
is_efficient[is_efficient] = np.any(
labels_criteria[is_efficient] < label, axis=1
)
is_efficient[i] = True # And keep self
return list(compress(labels, is_efficient))
| 3,578 | 0 | 1,647 |
933115b74ed295a65006412c92b16ed069cfcc8d | 20,509 | py | Python | cardea/fhir/NutritionOrder.py | Hector-hedb12/Cardea | 75c75f343796555f08c4511d6427efd04261a105 | [
"MIT"
] | null | null | null | cardea/fhir/NutritionOrder.py | Hector-hedb12/Cardea | 75c75f343796555f08c4511d6427efd04261a105 | [
"MIT"
] | null | null | null | cardea/fhir/NutritionOrder.py | Hector-hedb12/Cardea | 75c75f343796555f08c4511d6427efd04261a105 | [
"MIT"
] | null | null | null | from .fhirbase import fhirbase
class NutritionOrder(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
resourceType: This is a NutritionOrder resource
identifier: Identifiers assigned to this order by the order sender or
by the order receiver.
status: The workflow status of the nutrition order/request.
patient: The person (patient) who needs the nutrition order for an
oral diet, nutritional supplement and/or enteral or formula feeding.
encounter: An encounter that provides additional information about the
healthcare context in which this request is made.
dateTime: The date and time that this nutrition order was requested.
orderer: The practitioner that holds legal responsibility for ordering
the diet, nutritional supplement, or formula feedings.
allergyIntolerance: A link to a record of allergies or intolerances
which should be included in the nutrition order.
foodPreferenceModifier: This modifier is used to convey order-specific
modifiers about the type of food that should be given. These can be
derived from patient allergies, intolerances, or preferences such as
Halal, Vegan or Kosher. This modifier applies to the entire nutrition
order inclusive of the oral diet, nutritional supplements and enteral
formula feedings.
excludeFoodModifier: This modifier is used to convey order-specific
modifiers about the type of food that should NOT be given. These can
be derived from patient allergies, intolerances, or preferences such
as No Red Meat, No Soy or No Wheat or Gluten-Free. While it should
not be necessary to repeat allergy or intolerance information captured
in the referenced AllergyIntolerance resource in the
excludeFoodModifier, this element may be used to convey additional
specificity related to foods that should be eliminated from the
patient’s diet for any reason. This modifier applies to the entire
nutrition order inclusive of the oral diet, nutritional supplements
and enteral formula feedings.
oralDiet: Diet given orally in contrast to enteral (tube) feeding.
supplement: Oral nutritional products given in order to add further
nutritional value to the patient's diet.
enteralFormula: Feeding provided through the gastrointestinal tract
via a tube, catheter, or stoma that delivers nutrition distal to the
oral cavity.
"""
__name__ = 'NutritionOrder'
class NutritionOrder_OralDiet(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
type: The kind of diet or dietary restriction such as fiber restricted
diet or diabetic diet.
schedule: The time period and frequency at which the diet should be
given. The diet should be given for the combination of all schedules
if more than one schedule is present.
nutrient: Class that defines the quantity and type of nutrient
modifications (for example carbohydrate, fiber or sodium) required for
the oral diet.
texture: Class that describes any texture modifications required for
the patient to safely consume various types of solid foods.
fluidConsistencyType: The required consistency (e.g. honey-thick,
nectar-thick, thin, thickened.) of liquids or fluids served to the
patient.
instruction: Free text or additional instructions or information
pertaining to the oral diet.
"""
__name__ = 'NutritionOrder_OralDiet'
class NutritionOrder_Nutrient(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
modifier: The nutrient that is being modified such as carbohydrate or
sodium.
amount: The quantity of the specified nutrient to include in diet.
"""
__name__ = 'NutritionOrder_Nutrient'
class NutritionOrder_Texture(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
modifier: Any texture modifications (for solid foods) that should be
made, e.g. easy to chew, chopped, ground, and pureed.
foodType: The food type(s) (e.g. meats, all foods) that the texture
modification applies to. This could be all foods types.
"""
__name__ = 'NutritionOrder_Texture'
class NutritionOrder_Supplement(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
type: The kind of nutritional supplement product required such as a
high protein or pediatric clear liquid supplement.
productName: The product or brand name of the nutritional supplement
such as "Acme Protein Shake".
schedule: The time period and frequency at which the supplement(s)
should be given. The supplement should be given for the combination
of all schedules if more than one schedule is present.
quantity: The amount of the nutritional supplement to be given.
instruction: Free text or additional instructions or information
pertaining to the oral supplement.
"""
__name__ = 'NutritionOrder_Supplement'
class NutritionOrder_EnteralFormula(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
baseFormulaType: The type of enteral or infant formula such as an
adult standard formula with fiber or a soy-based infant formula.
baseFormulaProductName: The product or brand name of the enteral or
infant formula product such as "ACME Adult Standard Formula".
additiveType: Indicates the type of modular component such as protein,
carbohydrate, fat or fiber to be provided in addition to or mixed with
the base formula.
additiveProductName: The product or brand name of the type of modular
component to be added to the formula.
caloricDensity: The amount of energy (calories) that the formula
should provide per specified volume, typically per mL or fluid oz.
For example, an infant may require a formula that provides 24 calories
per fluid ounce or an adult may require an enteral formula that
provides 1.5 calorie/mL.
routeofAdministration: The route or physiological path of
administration into the patient's gastrointestinal tract for purposes
of providing the formula feeding, e.g. nasogastric tube.
administration: Formula administration instructions as structured
data. This repeating structure allows for changing the administration
rate or volume over time for both bolus and continuous feeding. An
example of this would be an instruction to increase the rate of
continuous feeding every 2 hours.
maxVolumeToDeliver: The maximum total quantity of formula that may be
administered to a subject over the period of time, e.g. 1440 mL over
24 hours.
administrationInstruction: Free text formula administration, feeding
instructions or additional instructions or information.
"""
__name__ = 'NutritionOrder_EnteralFormula'
class NutritionOrder_Administration(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
schedule: The time period and frequency at which the enteral formula
should be delivered to the patient.
quantity: The volume of formula to provide to the patient per the
specified administration schedule.
rateSimpleQuantity: The rate of administration of formula via a
feeding pump, e.g. 60 mL per hour, according to the specified
schedule.
rateRatio: The rate of administration of formula via a feeding pump,
e.g. 60 mL per hour, according to the specified schedule.
"""
__name__ = 'NutritionOrder_Administration'
| 36.171076 | 97 | 0.624604 | from .fhirbase import fhirbase
class NutritionOrder(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
resourceType: This is a NutritionOrder resource
identifier: Identifiers assigned to this order by the order sender or
by the order receiver.
status: The workflow status of the nutrition order/request.
patient: The person (patient) who needs the nutrition order for an
oral diet, nutritional supplement and/or enteral or formula feeding.
encounter: An encounter that provides additional information about the
healthcare context in which this request is made.
dateTime: The date and time that this nutrition order was requested.
orderer: The practitioner that holds legal responsibility for ordering
the diet, nutritional supplement, or formula feedings.
allergyIntolerance: A link to a record of allergies or intolerances
which should be included in the nutrition order.
foodPreferenceModifier: This modifier is used to convey order-specific
modifiers about the type of food that should be given. These can be
derived from patient allergies, intolerances, or preferences such as
Halal, Vegan or Kosher. This modifier applies to the entire nutrition
order inclusive of the oral diet, nutritional supplements and enteral
formula feedings.
excludeFoodModifier: This modifier is used to convey order-specific
modifiers about the type of food that should NOT be given. These can
be derived from patient allergies, intolerances, or preferences such
as No Red Meat, No Soy or No Wheat or Gluten-Free. While it should
not be necessary to repeat allergy or intolerance information captured
in the referenced AllergyIntolerance resource in the
excludeFoodModifier, this element may be used to convey additional
specificity related to foods that should be eliminated from the
patient’s diet for any reason. This modifier applies to the entire
nutrition order inclusive of the oral diet, nutritional supplements
and enteral formula feedings.
oralDiet: Diet given orally in contrast to enteral (tube) feeding.
supplement: Oral nutritional products given in order to add further
nutritional value to the patient's diet.
enteralFormula: Feeding provided through the gastrointestinal tract
via a tube, catheter, or stoma that delivers nutrition distal to the
oral cavity.
"""
__name__ = 'NutritionOrder'
def __init__(self, dict_values=None):
self.resourceType = 'NutritionOrder'
# type: str
# possible values: NutritionOrder
self.status = None
# type: str
# possible values: proposed, draft, planned, requested,
# active, on-hold, completed, cancelled, entered-in-error
self.patient = None
# reference to Reference: identifier
self.encounter = None
# reference to Reference: identifier
self.dateTime = None
# type: str
self.orderer = None
# reference to Reference: identifier
self.allergyIntolerance = None
# type: list
# reference to Reference: identifier
self.foodPreferenceModifier = None
# type: list
# reference to CodeableConcept
self.excludeFoodModifier = None
# type: list
# reference to CodeableConcept
self.oralDiet = None
# reference to NutritionOrder_OralDiet
self.supplement = None
# type: list
# reference to NutritionOrder_Supplement
self.enteralFormula = None
# reference to NutritionOrder_EnteralFormula
self.identifier = None
# type: list
# reference to Identifier
if dict_values:
self.set_attributes(dict_values)
self.assert_type()
def assert_type(self):
if self.status is not None:
for value in self.status:
if value is not None and value.lower() not in [
'proposed', 'draft', 'planned', 'requested', 'active', 'on-hold',
'completed', 'cancelled', 'entered-in-error']:
raise ValueError('"{}" does not match possible values: {}'.format(
value, 'proposed, draft, planned, requested, active, on-hold, completed,'
'cancelled, entered-in-error'))
def get_relationships(self):
return [
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'NutritionOrder',
'child_variable': 'encounter'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'excludeFoodModifier'},
{'parent_entity': 'NutritionOrder_EnteralFormula',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'enteralFormula'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'foodPreferenceModifier'},
{'parent_entity': 'Identifier',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'identifier'},
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'NutritionOrder',
'child_variable': 'patient'},
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'NutritionOrder',
'child_variable': 'orderer'},
{'parent_entity': 'NutritionOrder_OralDiet',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'oralDiet'},
{'parent_entity': 'Reference',
'parent_variable': 'identifier',
'child_entity': 'NutritionOrder',
'child_variable': 'allergyIntolerance'},
{'parent_entity': 'NutritionOrder_Supplement',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder',
'child_variable': 'supplement'},
]
class NutritionOrder_OralDiet(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
type: The kind of diet or dietary restriction such as fiber restricted
diet or diabetic diet.
schedule: The time period and frequency at which the diet should be
given. The diet should be given for the combination of all schedules
if more than one schedule is present.
nutrient: Class that defines the quantity and type of nutrient
modifications (for example carbohydrate, fiber or sodium) required for
the oral diet.
texture: Class that describes any texture modifications required for
the patient to safely consume various types of solid foods.
fluidConsistencyType: The required consistency (e.g. honey-thick,
nectar-thick, thin, thickened.) of liquids or fluids served to the
patient.
instruction: Free text or additional instructions or information
pertaining to the oral diet.
"""
__name__ = 'NutritionOrder_OralDiet'
def __init__(self, dict_values=None):
self.type = None
# type: list
# reference to CodeableConcept
self.schedule = None
# type: list
# reference to Timing
self.nutrient = None
# type: list
# reference to NutritionOrder_Nutrient
self.texture = None
# type: list
# reference to NutritionOrder_Texture
self.fluidConsistencyType = None
# type: list
# reference to CodeableConcept
self.instruction = None
# type: str
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_OralDiet',
'child_variable': 'type'},
{'parent_entity': 'NutritionOrder_Nutrient',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_OralDiet',
'child_variable': 'nutrient'},
{'parent_entity': 'NutritionOrder_Texture',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_OralDiet',
'child_variable': 'texture'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_OralDiet',
'child_variable': 'fluidConsistencyType'},
{'parent_entity': 'Timing',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_OralDiet',
'child_variable': 'schedule'},
]
class NutritionOrder_Nutrient(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
modifier: The nutrient that is being modified such as carbohydrate or
sodium.
amount: The quantity of the specified nutrient to include in diet.
"""
__name__ = 'NutritionOrder_Nutrient'
def __init__(self, dict_values=None):
self.modifier = None
# reference to CodeableConcept
self.amount = None
# reference to Quantity
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Nutrient',
'child_variable': 'amount'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Nutrient',
'child_variable': 'modifier'},
]
class NutritionOrder_Texture(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
modifier: Any texture modifications (for solid foods) that should be
made, e.g. easy to chew, chopped, ground, and pureed.
foodType: The food type(s) (e.g. meats, all foods) that the texture
modification applies to. This could be all foods types.
"""
__name__ = 'NutritionOrder_Texture'
def __init__(self, dict_values=None):
self.modifier = None
# reference to CodeableConcept
self.foodType = None
# reference to CodeableConcept
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Texture',
'child_variable': 'foodType'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Texture',
'child_variable': 'modifier'},
]
class NutritionOrder_Supplement(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
type: The kind of nutritional supplement product required such as a
high protein or pediatric clear liquid supplement.
productName: The product or brand name of the nutritional supplement
such as "Acme Protein Shake".
schedule: The time period and frequency at which the supplement(s)
should be given. The supplement should be given for the combination
of all schedules if more than one schedule is present.
quantity: The amount of the nutritional supplement to be given.
instruction: Free text or additional instructions or information
pertaining to the oral supplement.
"""
__name__ = 'NutritionOrder_Supplement'
def __init__(self, dict_values=None):
self.type = None
# reference to CodeableConcept
self.productName = None
# type: str
self.schedule = None
# type: list
# reference to Timing
self.quantity = None
# reference to Quantity
self.instruction = None
# type: str
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Supplement',
'child_variable': 'quantity'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Supplement',
'child_variable': 'type'},
{'parent_entity': 'Timing',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Supplement',
'child_variable': 'schedule'},
]
class NutritionOrder_EnteralFormula(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
baseFormulaType: The type of enteral or infant formula such as an
adult standard formula with fiber or a soy-based infant formula.
baseFormulaProductName: The product or brand name of the enteral or
infant formula product such as "ACME Adult Standard Formula".
additiveType: Indicates the type of modular component such as protein,
carbohydrate, fat or fiber to be provided in addition to or mixed with
the base formula.
additiveProductName: The product or brand name of the type of modular
component to be added to the formula.
caloricDensity: The amount of energy (calories) that the formula
should provide per specified volume, typically per mL or fluid oz.
For example, an infant may require a formula that provides 24 calories
per fluid ounce or an adult may require an enteral formula that
provides 1.5 calorie/mL.
routeofAdministration: The route or physiological path of
administration into the patient's gastrointestinal tract for purposes
of providing the formula feeding, e.g. nasogastric tube.
administration: Formula administration instructions as structured
data. This repeating structure allows for changing the administration
rate or volume over time for both bolus and continuous feeding. An
example of this would be an instruction to increase the rate of
continuous feeding every 2 hours.
maxVolumeToDeliver: The maximum total quantity of formula that may be
administered to a subject over the period of time, e.g. 1440 mL over
24 hours.
administrationInstruction: Free text formula administration, feeding
instructions or additional instructions or information.
"""
__name__ = 'NutritionOrder_EnteralFormula'
def __init__(self, dict_values=None):
self.baseFormulaType = None
# reference to CodeableConcept
self.baseFormulaProductName = None
# type: str
self.additiveType = None
# reference to CodeableConcept
self.additiveProductName = None
# type: str
self.caloricDensity = None
# reference to Quantity
self.routeofAdministration = None
# reference to CodeableConcept
self.administration = None
# type: list
# reference to NutritionOrder_Administration
self.maxVolumeToDeliver = None
# reference to Quantity
self.administrationInstruction = None
# type: str
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'baseFormulaType'},
{'parent_entity': 'NutritionOrder_Administration',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'administration'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'additiveType'},
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'maxVolumeToDeliver'},
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'caloricDensity'},
{'parent_entity': 'CodeableConcept',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_EnteralFormula',
'child_variable': 'routeofAdministration'},
]
class NutritionOrder_Administration(fhirbase):
"""
A request to supply a diet, formula feeding (enteral) or oral
nutritional supplement to a patient/resident.
Attributes:
schedule: The time period and frequency at which the enteral formula
should be delivered to the patient.
quantity: The volume of formula to provide to the patient per the
specified administration schedule.
rateSimpleQuantity: The rate of administration of formula via a
feeding pump, e.g. 60 mL per hour, according to the specified
schedule.
rateRatio: The rate of administration of formula via a feeding pump,
e.g. 60 mL per hour, according to the specified schedule.
"""
__name__ = 'NutritionOrder_Administration'
def __init__(self, dict_values=None):
self.schedule = None
# reference to Timing
self.quantity = None
# reference to Quantity
self.rateSimpleQuantity = None
# reference to Quantity
self.rateRatio = None
# reference to Ratio
self.object_id = None
# unique identifier for object class
if dict_values:
self.set_attributes(dict_values)
def get_relationships(self):
return [
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Administration',
'child_variable': 'quantity'},
{'parent_entity': 'Quantity',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Administration',
'child_variable': 'rateSimpleQuantity'},
{'parent_entity': 'Timing',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Administration',
'child_variable': 'schedule'},
{'parent_entity': 'Ratio',
'parent_variable': 'object_id',
'child_entity': 'NutritionOrder_Administration',
'child_variable': 'rateRatio'},
]
| 11,381 | 0 | 405 |
c39d8d353d6f99bd28e3afe51aff55b07c44c66f | 363 | py | Python | util/mqtt_db_dump.py | mgroseman/mqtt-repeater | 3205d0b39036c1f782e3bb8554ebad19e5582cc0 | [
"MIT"
] | 3 | 2016-07-29T20:09:21.000Z | 2022-03-24T20:27:33.000Z | util/mqtt_db_dump.py | mgroseman/mqtt-repeater | 3205d0b39036c1f782e3bb8554ebad19e5582cc0 | [
"MIT"
] | null | null | null | util/mqtt_db_dump.py | mgroseman/mqtt-repeater | 3205d0b39036c1f782e3bb8554ebad19e5582cc0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#This needs to be fully commented and have a Usage message
# Copyright (c) 2016 - mgroseman - Mike Roseman
# MIT License
import sqlite3
SQLDB='db/mqtt_repeater.db'
conn = sqlite3.connect(SQLDB)
db = conn.cursor()
for row in db.execute('SELECT * FROM states ORDER BY last_timestamp'):
print('%s\t%s\t%s\t%s' % row)
conn.close()
| 20.166667 | 70 | 0.699725 | #!/usr/bin/env python
#This needs to be fully commented and have a Usage message
# Copyright (c) 2016 - mgroseman - Mike Roseman
# MIT License
import sqlite3
SQLDB='db/mqtt_repeater.db'
conn = sqlite3.connect(SQLDB)
db = conn.cursor()
for row in db.execute('SELECT * FROM states ORDER BY last_timestamp'):
print('%s\t%s\t%s\t%s' % row)
conn.close()
| 0 | 0 | 0 |
3aff9b937003ede708026bb44e8f51b4ba682f45 | 7,628 | py | Python | algorithms/embdi/EmbDI/schema_matching.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | algorithms/embdi/EmbDI/schema_matching.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | algorithms/embdi/EmbDI/schema_matching.py | Soton-Song/valentine | 9a47859f912540cdbe961ed3585201d3accd07be | [
"Apache-2.0"
] | null | null | null | import argparse
import warnings
from operator import itemgetter
import gensim.models as models
import mlflow
| 30.882591 | 117 | 0.552832 | import argparse
import warnings
from operator import itemgetter
import gensim.models as models
import mlflow
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input_file', action='store', required=True, type=str, help='Input embeddings file.')
parser.add_argument('-d', '--dataset_file', action='store', required=True, type=str, help='Input dataset.')
parser.add_argument('-m', '--match_file', action='store', required=True, type=str)
return parser.parse_args()
def read_matches(match_file):
with open(match_file, 'r', encoding='utf-8') as fp:
md = {}
for idx, line in enumerate(fp):
t = line.strip().split(',')
if t[0] not in md:
md[t[0]] = {t[1]}
else:
md[t[0]].add(t[1])
# matches.append(t)
return md
def _clean_embeddings(emb_file, matches):
gt = set()
for k, v in matches.items():
gt.add(k)
for _ in v:
gt.add(_)
with open(emb_file, 'r') as fp:
s = fp.readline()
_, dimensions = s.strip().split(' ')
viable_idx = []
for idx, row in enumerate(fp):
r = row.split(' ', maxsplit=1)[0]
rr = r.split('__', maxsplit=1)[1]
if rr in gt:
viable_idx.append(row)
# viable_idx = [row for idx, row in enumerate(fp) if (row.split(' ', maxsplit=1)[0] in gt)]
# viable_idx = [_ for _ in viable_idx if len(_.split(' ')) > 1]
f = 'pipeline/dump/sm_dump.emb'
with open(f, 'w', encoding='utf-8') as fp:
fp.write('{} {}\n'.format(len(viable_idx), dimensions))
for _ in viable_idx:
fp.write(_)
return f
def _infer_prefix(df):
columns = df.columns
prefixes = tuple([_.split('_') for _ in columns])
if len(prefixes) > 2:
return None
else:
return list(prefixes)
def _match(candidates, maxrank=3):
to_be_matched = list(candidates.keys())
misses = {k: 0 for k in candidates}
mm = []
while len(to_be_matched) > 0:
tbm = to_be_matched.copy()
for item in tbm:
if item not in to_be_matched:
continue
else:
if misses[item] > maxrank:
to_be_matched.remove(item)
continue
else:
closest_list = candidates[item]
if len(closest_list) > 0:
for idx in range(len(closest_list)):
closest_to_item = closest_list[idx]
reciprocal_closest_list = candidates[closest_to_item]
reciprocal_closest = reciprocal_closest_list[0]
if closest_to_item in to_be_matched and reciprocal_closest == item:
to_be_matched.remove(item)
to_be_matched.remove(closest_to_item)
mm.append((item, closest_to_item))
for k in candidates:
if item in candidates[k]:
candidates[k].remove(item)
if closest_to_item in candidates[k]:
candidates[k].remove(closest_to_item)
break
else:
misses[item] += 1
else:
to_be_matched.remove(item)
return mm
def _extract_candidates(wv, dataset):
candidates = []
for _1 in range(len(dataset.columns)):
for _2 in range(0, len(dataset.columns)):
if _1 == _2:
continue
c1 = dataset.columns[_1]
c2 = dataset.columns[_2]
try:
rank = wv.distance('cid__'+c1, 'cid__'+c2)
tup = (c1, c2, rank)
candidates.append(tup)
except KeyError:
continue
cleaned = []
for k in candidates:
prefix = k[0].split('_')[0]
if not k[1].startswith(prefix):
cleaned.append(k)
sorted_cand = sorted(cleaned, key=itemgetter(2), reverse=False)
cands = []
flag = True
for value in sorted_cand:
if flag:
cands.append(value)
v1, v2, rank = value
print(str(v1) + " <--> " + str(v2)+ ": " + str(rank))
flag = False
else:
flag = True
cleaned_sorted = sorted(cleaned, key=itemgetter(0, 2), reverse=False)
candidates = {}
for value in cleaned_sorted:
v1, v2, rank = value
if v1 not in candidates:
candidates[v1] = [v2]
else:
candidates[v1].append(v2)
return (candidates,cands)
def _produce_match_results(candidates):
match_results = _match(candidates)
match_results = [sorted(_) for _ in match_results]
# refactored_match_results = [(int(_[0].split('_')[1]), int(_[1].split('_')[1])) for _ in match_results]
refactored_match_results = match_results
return refactored_match_results
def match_columns(dataset, embeddings_file):
emb_file = _clean_embeddings(embeddings_file)
if emb_file is None:
return []
wv = models.KeyedVectors.load_word2vec_format(emb_file, unicode_errors='ignore')
# print('Model built from file {}'.format(embeddings_file))
candidates = _extract_candidates(wv, dataset)
match_results = _produce_match_results(candidates)
return match_results
def schema_matching(dataset, embeddings_file, configuration):
print('# Executing SM tests.')
match_file = configuration['match_file']
ground_truth = read_matches(match_file)
emb_file = _clean_embeddings(embeddings_file, ground_truth)
wv = models.KeyedVectors.load_word2vec_format(emb_file, unicode_errors='ignore')
# print('Model built from file {}'.format(embeddings_file))
candidates, scand = _extract_candidates(wv, dataset)
match_results = _produce_match_results(candidates)
count_hits = 0
gt = 0
count_rk = 0.0
for i in range(len(ground_truth)):
left,right,rank = scand[i]
dicgt = ground_truth[left]
if right in dicgt:
count_rk += 1.0
recall_at_k = count_rk/len(ground_truth)
print('RECALL AT GT IS {:.4f}\t'.format(recall_at_k*100), end='')
for item in match_results:
# gt += 1
left = item[0]
right = item[1]
if left in ground_truth:
gt+=1
if right in ground_truth[left]:
count_hits += 1
if len(match_results) > 0:
precision = count_hits/len(match_results)
else:
precision = 0
if gt > 0:
recall = count_hits/gt
else:
warnings.warn('No hits found. Are you sure the SM ground truth file {} is correct?'.format(match_file))
recall = 0
try:
f1_score = 2 * (precision * recall) / (precision + recall)
except ZeroDivisionError:
f1_score = 0
# for tup in match_results:
# print(tup)
#
result_dict = {
'P': precision,
'R': recall,
'F': f1_score,
}
print('P\tR\tF')
for _ in result_dict.values():
print('{:.4f}\t'.format(_*100), end='')
print('')
if configuration['mlflow']:
with mlflow.active_run():
mlflow.log_metric('P', precision)
mlflow.log_metric('R', recall)
mlflow.log_metric('F', f1_score)
return result_dict
| 7,302 | 0 | 207 |
43cc65b8437584ccacdf26fa5aeab9bce6192420 | 4,498 | py | Python | rsi_stoch_signalmod_djcommie.py | adamje42/Binance-volatility-trading-bot | 13523c82ce4e5255d3c38de8db5c2ebde053525a | [
"MIT"
] | null | null | null | rsi_stoch_signalmod_djcommie.py | adamje42/Binance-volatility-trading-bot | 13523c82ce4e5255d3c38de8db5c2ebde053525a | [
"MIT"
] | null | null | null | rsi_stoch_signalmod_djcommie.py | adamje42/Binance-volatility-trading-bot | 13523c82ce4e5255d3c38de8db5c2ebde053525a | [
"MIT"
] | null | null | null | # Available indicators here: https://python-tradingview-ta.readthedocs.io/en/latest/usage.html#retrieving-the-analysis
from tradingview_ta import TA_Handler, Interval, Exchange
# use for environment variables
import os
# use if needed to pass args to external modules
import sys
# used for directory handling
import glob
import time
import threading
OSC_INDICATORS = ['RSI', 'Stoch.RSI'] # Indicators to use in Oscillator analysis
OSC_THRESHOLD = 2 # Must be less or equal to number of items in OSC_INDICATORS
MA_INDICATORS = ['EMA10', 'EMA20'] # Indicators to use in Moving averages analysis
MA_THRESHOLD = 2 # Must be less or equal to number of items in MA_INDICATORS
INTERVAL = Interval.INTERVAL_5_MINUTES #Timeframe for analysis
EXCHANGE = 'BINANCE'
SCREENER = 'CRYPTO'
PAIR_WITH = 'USDT'
TICKERS = 'custsignal.txt' #'signalsample.txt'
TIME_TO_WAIT = 5 # Minutes to wait between analysis
FULL_LOG = False # List analysis result to console
# TODO: check every 1 minute on 5 minute timeframes by keeping a circular buffer array
global last_RSI
last_RSI = {}
| 40.890909 | 220 | 0.648288 | # Available indicators here: https://python-tradingview-ta.readthedocs.io/en/latest/usage.html#retrieving-the-analysis
from tradingview_ta import TA_Handler, Interval, Exchange
# use for environment variables
import os
# use if needed to pass args to external modules
import sys
# used for directory handling
import glob
import time
import threading
OSC_INDICATORS = ['RSI', 'Stoch.RSI'] # Indicators to use in Oscillator analysis
OSC_THRESHOLD = 2 # Must be less or equal to number of items in OSC_INDICATORS
MA_INDICATORS = ['EMA10', 'EMA20'] # Indicators to use in Moving averages analysis
MA_THRESHOLD = 2 # Must be less or equal to number of items in MA_INDICATORS
INTERVAL = Interval.INTERVAL_5_MINUTES #Timeframe for analysis
EXCHANGE = 'BINANCE'
SCREENER = 'CRYPTO'
PAIR_WITH = 'USDT'
TICKERS = 'custsignal.txt' #'signalsample.txt'
TIME_TO_WAIT = 5 # Minutes to wait between analysis
FULL_LOG = False # List analysis result to console
# TODO: check every 1 minute on 5 minute timeframes by keeping a circular buffer array
global last_RSI
last_RSI = {}
def analyze(pairs):
global last_RSI
signal_coins = {}
analysis = {}
handler = {}
if os.path.exists('signals/custsignalmod.exs'):
os.remove('signals/custsignalmod.exs')
for pair in pairs:
handler[pair] = TA_Handler(
symbol=pair,
exchange=EXCHANGE,
screener=SCREENER,
interval=INTERVAL,
timeout= 10)
for pair in pairs:
try:
analysis = handler[pair].get_analysis()
except Exception as e:
print("Signalsample:")
print("Exception:")
print(e)
print (f'Coin: {pair}')
print (f'handler: {handler[pair]}')
oscCheck=0
maCheck=0
for indicator in OSC_INDICATORS:
oscResult = analysis.oscillators ['COMPUTE'][indicator]
#print(f'Indicator for {indicator} is {oscResult}')
if analysis.oscillators ['COMPUTE'][indicator] != 'SELL': oscCheck +=1
for indicator in MA_INDICATORS:
if analysis.moving_averages ['COMPUTE'][indicator] == 'BUY': maCheck +=1
#TODO: Use same type of analysis for sell indicators
# Stoch.RSI (25 - 52) & Stoch.RSI.K > Stoch.RSI.D, RSI (49-67), EMA10 > EMA20 > EMA100, Stoch.RSI = BUY, RSI = BUY, EMA10 = EMA20 = BUY
RSI = float(analysis.indicators['RSI'])
STOCH_RSI_K = float(analysis.indicators['Stoch.RSI.K'])
#STOCH_RSI_D = float(analysis.indicators['Stoch.D'])
EMA10 = float(analysis.indicators['EMA10'])
EMA20 = float(analysis.indicators['EMA20'])
EMA100 = float(analysis.indicators['EMA100'])
STOCH_K = float(analysis.indicators['Stoch.K'])
STOCH_D = float(analysis.indicators['Stoch.D'])
#print(f'Custsignalmod: {pair} stats = RSI:{RSI}, STOCH_RSI_K:{STOCH_RSI_K}, STOCH_K:{STOCH_K}, STOCH_D:{STOCH_D} EMA10:{EMA10}, EMA20:{EMA20}, EMA100:{EMA100}')
if pair in last_RSI and (RSI - last_RSI[pair] >= 2.5) and (RSI >= 49 and RSI <= 67) and (STOCH_RSI_K >= 25 and STOCH_RSI_K <= 58) and \
'''(EMA10 > EMA20 and EMA20 > EMA100)''' and (STOCH_K - STOCH_D >= 4.5):
if oscCheck >= OSC_THRESHOLD and maCheck >= MA_THRESHOLD:
signal_coins[pair] = pair
print(f'\033[92mCustsignalmod: Signal detected on {pair} at {oscCheck}/{len(OSC_INDICATORS)} oscillators and {maCheck}/{len(MA_INDICATORS)} moving averages.')
with open('signals/custsignalmod.exs','a+') as f:
f.write(pair + '\n')
last_RSI[pair] = RSI
#if FULL_LOG:
print(f'Custsignalmod:{pair} Oscillators:{oscCheck}/{len(OSC_INDICATORS)} Moving averages:{maCheck}/{len(MA_INDICATORS)}')
return signal_coins
def do_work():
signal_coins = {}
pairs = {}
pairs=[line.strip() for line in open(TICKERS)]
for line in open(TICKERS):
pairs=[line.strip() + PAIR_WITH for line in open(TICKERS)]
while True:
if not threading.main_thread().is_alive(): exit()
print(f'Custsignalmod: Analyzing {len(pairs)} coins')
signal_coins = analyze(pairs)
print(f'Custsignalmod: {len(signal_coins)} coins above {OSC_THRESHOLD}/{len(OSC_INDICATORS)} oscillators and {MA_THRESHOLD}/{len(MA_INDICATORS)} moving averages Waiting {TIME_TO_WAIT} minutes for next analysis.')
time.sleep((TIME_TO_WAIT*60))
| 3,385 | 0 | 46 |
c50af4199b3acde52f62b4fb1d0b9c1d7a9a253f | 7,827 | py | Python | balloon_learning_environment/env/generative_wind_field.py | taodav/balloon-learning-environment | 4beb45f52ab7127a4c051df25894738420e8e691 | [
"Apache-2.0"
] | null | null | null | balloon_learning_environment/env/generative_wind_field.py | taodav/balloon-learning-environment | 4beb45f52ab7127a4c051df25894738420e8e691 | [
"Apache-2.0"
] | null | null | null | balloon_learning_environment/env/generative_wind_field.py | taodav/balloon-learning-environment | 4beb45f52ab7127a4c051df25894738420e8e691 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Balloon Learning Environment Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""A wind field created by a generative model."""
import datetime as dt
import time
from typing import List, Optional, Sequence, Union
from balloon_learning_environment.env import wind_field
from balloon_learning_environment.generative import vae
from balloon_learning_environment.models import models
from balloon_learning_environment.utils import units
import flax
import jax
from jax import numpy as jnp
import numpy as np
import scipy.interpolate
class GenerativeWindField(wind_field.WindField):
"""A wind field created by a generative model."""
def __init__(self,
key: Optional[jnp.ndarray] = None):
"""GenerativeWindField Constructor.
Args:
key: An optional key to seed the wind field with. If None, will use the
current time in milliseconds.
"""
super(GenerativeWindField, self).__init__()
key = key if key else jax.random.PRNGKey(int(time.time() * 1000))
serialized_params = models.load_offlineskies22()
self.params = flax.serialization.msgpack_restore(serialized_params)
self.field = None
self.field_shape: vae.FieldShape = vae.FieldShape()
# NOTE(scandido): We convert the field from a jax.numpy arrays to a numpy
# arrays here, otherwise it'll be converted on the fly every time we
# interpolate (due to scipy.interpolate). This conversion is not a huge cost
# but the conversion on self.field (see reset() method) is significant so
# we also do this one for completeness.
self._grid = (
np.array(self.field_shape.latlng_grid_points()), # Lats.
np.array(self.field_shape.latlng_grid_points()), # Lngs.
np.array(self.field_shape.pressure_grid_points()), # Pressures.
np.array(self.field_shape.time_grid_points())) # Times.
def reset_forecast(self, key: jnp.ndarray, date_time: dt.datetime) -> None:
"""Resets the wind field.
Args:
key: A PRNG key used to sample a new location and time for the wind field.
date_time: An instance of a datetime object, representing the start
of the wind field.
"""
latents = jax.random.normal(key, shape=(64,))
# NOTE(scandido): We convert the field from a jax.numpy array to a numpy
# array here, otherwise it'll be converted on the fly every time we
# interpolate (due to scipy.interpolate). This conversion is a significant
# cost.
decoder = vae.Decoder()
self.field = np.array(decoder.apply(self.params, latents))
def get_forecast(self, x: units.Distance, y: units.Distance, pressure: float,
elapsed_time: dt.timedelta) -> wind_field.WindVector:
"""Gets a wind in the windfield at the specified location and time.
Args:
x: An x offset (parallel to latitude).
y: A y offset (parallel to longitude).
pressure: A pressure level in pascals.
elapsed_time: The time offset from the beginning of the wind field.
Returns:
The wind vector at the specified position and time.
Raises:
RuntimeError: if called before reset().
"""
if self.field is None:
raise RuntimeError('Must call reset before get_forecast.')
point = self._prepare_get_forecast_inputs(x, y, pressure, elapsed_time)
point = point.reshape(-1)
uv = scipy.interpolate.interpn(
self._grid, self.field, point, fill_value=True)
return wind_field.WindVector(units.Velocity(mps=uv[0][0]),
units.Velocity(mps=uv[0][1]))
def get_forecast_column(
self,
x: units.Distance,
y: units.Distance,
pressures: Sequence[float],
elapsed_time: dt.timedelta) -> List[wind_field.WindVector]:
"""A convenience function for getting multiple forecasts in a column.
This allows a simple optimization of the generative wind field.
Args:
x: Distance from the station keeping target along the latitude
parallel.
y: Distance from the station keeping target along the longitude
parallel.
pressures: Multiple pressures to get a forecast for, in Pascals. (This is
a proxy for altitude.)
elapsed_time: Elapsed time from the "beginning" of the wind field.
Returns:
WindVectors for each pressure level in the WindField.
Raises:
RuntimeError: if called before reset().
"""
if self.field is None:
raise RuntimeError('Must call reset before get_forecast.')
point = self._prepare_get_forecast_inputs(x, y, pressures, elapsed_time)
uv = scipy.interpolate.interpn(
self._grid, self.field, point, fill_value=True)
result = list()
for i in range(len(pressures)):
result.append(wind_field.WindVector(units.Velocity(mps=uv[i][0]),
units.Velocity(mps=uv[i][1])))
return result
@staticmethod
def _boomerang(t: float, max_val: float) -> float:
"""Computes a value that boomerangs between 0 and max_val."""
cycle_direction = int(t / max_val) % 2
remainder = t % max_val
if cycle_direction % 2 == 0: # Forward.
return remainder
else: # Backward.
return max_val - remainder
| 38.940299 | 80 | 0.681743 | # coding=utf-8
# Copyright 2021 The Balloon Learning Environment Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""A wind field created by a generative model."""
import datetime as dt
import time
from typing import List, Optional, Sequence, Union
from balloon_learning_environment.env import wind_field
from balloon_learning_environment.generative import vae
from balloon_learning_environment.models import models
from balloon_learning_environment.utils import units
import flax
import jax
from jax import numpy as jnp
import numpy as np
import scipy.interpolate
class GenerativeWindField(wind_field.WindField):
"""A wind field created by a generative model."""
def __init__(self,
key: Optional[jnp.ndarray] = None):
"""GenerativeWindField Constructor.
Args:
key: An optional key to seed the wind field with. If None, will use the
current time in milliseconds.
"""
super(GenerativeWindField, self).__init__()
key = key if key else jax.random.PRNGKey(int(time.time() * 1000))
serialized_params = models.load_offlineskies22()
self.params = flax.serialization.msgpack_restore(serialized_params)
self.field = None
self.field_shape: vae.FieldShape = vae.FieldShape()
# NOTE(scandido): We convert the field from a jax.numpy arrays to a numpy
# arrays here, otherwise it'll be converted on the fly every time we
# interpolate (due to scipy.interpolate). This conversion is not a huge cost
# but the conversion on self.field (see reset() method) is significant so
# we also do this one for completeness.
self._grid = (
np.array(self.field_shape.latlng_grid_points()), # Lats.
np.array(self.field_shape.latlng_grid_points()), # Lngs.
np.array(self.field_shape.pressure_grid_points()), # Pressures.
np.array(self.field_shape.time_grid_points())) # Times.
def reset_forecast(self, key: jnp.ndarray, date_time: dt.datetime) -> None:
"""Resets the wind field.
Args:
key: A PRNG key used to sample a new location and time for the wind field.
date_time: An instance of a datetime object, representing the start
of the wind field.
"""
latents = jax.random.normal(key, shape=(64,))
# NOTE(scandido): We convert the field from a jax.numpy array to a numpy
# array here, otherwise it'll be converted on the fly every time we
# interpolate (due to scipy.interpolate). This conversion is a significant
# cost.
decoder = vae.Decoder()
self.field = np.array(decoder.apply(self.params, latents))
def get_forecast(self, x: units.Distance, y: units.Distance, pressure: float,
elapsed_time: dt.timedelta) -> wind_field.WindVector:
"""Gets a wind in the windfield at the specified location and time.
Args:
x: An x offset (parallel to latitude).
y: A y offset (parallel to longitude).
pressure: A pressure level in pascals.
elapsed_time: The time offset from the beginning of the wind field.
Returns:
The wind vector at the specified position and time.
Raises:
RuntimeError: if called before reset().
"""
if self.field is None:
raise RuntimeError('Must call reset before get_forecast.')
point = self._prepare_get_forecast_inputs(x, y, pressure, elapsed_time)
point = point.reshape(-1)
uv = scipy.interpolate.interpn(
self._grid, self.field, point, fill_value=True)
return wind_field.WindVector(units.Velocity(mps=uv[0][0]),
units.Velocity(mps=uv[0][1]))
def get_forecast_column(
self,
x: units.Distance,
y: units.Distance,
pressures: Sequence[float],
elapsed_time: dt.timedelta) -> List[wind_field.WindVector]:
"""A convenience function for getting multiple forecasts in a column.
This allows a simple optimization of the generative wind field.
Args:
x: Distance from the station keeping target along the latitude
parallel.
y: Distance from the station keeping target along the longitude
parallel.
pressures: Multiple pressures to get a forecast for, in Pascals. (This is
a proxy for altitude.)
elapsed_time: Elapsed time from the "beginning" of the wind field.
Returns:
WindVectors for each pressure level in the WindField.
Raises:
RuntimeError: if called before reset().
"""
if self.field is None:
raise RuntimeError('Must call reset before get_forecast.')
point = self._prepare_get_forecast_inputs(x, y, pressures, elapsed_time)
uv = scipy.interpolate.interpn(
self._grid, self.field, point, fill_value=True)
result = list()
for i in range(len(pressures)):
result.append(wind_field.WindVector(units.Velocity(mps=uv[i][0]),
units.Velocity(mps=uv[i][1])))
return result
@staticmethod
def _boomerang(t: float, max_val: float) -> float:
"""Computes a value that boomerangs between 0 and max_val."""
cycle_direction = int(t / max_val) % 2
remainder = t % max_val
if cycle_direction % 2 == 0: # Forward.
return remainder
else: # Backward.
return max_val - remainder
def _prepare_get_forecast_inputs(self,
x: units.Distance,
y: units.Distance,
pressure: Union[Sequence[float], float],
elapsed_time: dt.timedelta) -> np.ndarray:
# TODO(bellemare): Give a units might be wrong warning if querying 10,000s
# km away.
# NOTE(scandido): We extend the field beyond the limits of the VAE using
# the values at the boundary.
x_km = x.kilometers
y_km = y.kilometers
x_km = np.clip(x_km, -self.field_shape.latlng_displacement_km,
self.field_shape.latlng_displacement_km).item()
y_km = np.clip(y_km, -self.field_shape.latlng_displacement_km,
self.field_shape.latlng_displacement_km).item()
pressure = np.clip(pressure, self.field_shape.min_pressure_pa,
self.field_shape.max_pressure_pa)
# Generated wind fields have a fixed time dimension, often 48 hours.
# Typically queries will be between 0-48 hours so most of the time it is
# simple to query a point in the field. However, to extend the limit of
# the field we transform times 48+ hours out to some time in the 0-48
# well defined region in such a way that two close times will remain close
# (and thus not have a suddenly changing wind field). We use a "boomerang",
# i.e., time reflects backwards after 48 hours until 2*48 hours at which
# point time goes forward and so on.
elapsed_hours = units.timedelta_to_hours(elapsed_time)
if elapsed_hours < self.field_shape.time_horizon_hours:
time_field_position = elapsed_hours
else:
time_field_position = self._boomerang(
elapsed_hours,
self.field_shape.time_horizon_hours)
num_points = 1 if isinstance(pressure, float) else len(pressure)
point = np.empty((num_points, 4), dtype=np.float32)
point[:, 0] = x_km
point[:, 1] = y_km
point[:, 2] = pressure
point[:, 3] = time_field_position
return point
| 2,046 | 0 | 25 |
75369ccfbfd56359bbe939f3b80a1491d0f64ef6 | 125 | py | Python | test/client/data_storage/生成逻辑.py | sf-fl/federatedML | 6cb48525d662ba1bad12702622f2b43f67da67cf | [
"Apache-2.0"
] | null | null | null | test/client/data_storage/生成逻辑.py | sf-fl/federatedML | 6cb48525d662ba1bad12702622f2b43f67da67cf | [
"Apache-2.0"
] | null | null | null | test/client/data_storage/生成逻辑.py | sf-fl/federatedML | 6cb48525d662ba1bad12702622f2b43f67da67cf | [
"Apache-2.0"
] | 1 | 2020-11-17T08:45:49.000Z | 2020-11-17T08:45:49.000Z | # =IF(D2=1,IF(RAND()>0.5,NORMINV(RAND(),75,2),NORMINV(RAND(),85,2)),IF(RAND()>0.5,NORMINV(RAND(),70,2),NORMINV(RAND(),80,2))) | 125 | 125 | 0.616 | # =IF(D2=1,IF(RAND()>0.5,NORMINV(RAND(),75,2),NORMINV(RAND(),85,2)),IF(RAND()>0.5,NORMINV(RAND(),70,2),NORMINV(RAND(),80,2))) | 0 | 0 | 0 |
db3d2ab438f8355542ced7df9e3b7edfb79a28a8 | 451 | py | Python | tests/test_general_validators/test_has_no_multiple_imports_on_same_line.py | SerejkaSJ/fiasko_bro | dfb8c30109f317c1e5b6d211e002fd148695809e | [
"MIT"
] | 25 | 2018-01-24T10:45:35.000Z | 2020-12-05T21:47:20.000Z | tests/test_general_validators/test_has_no_multiple_imports_on_same_line.py | SerejkaSJ/fiasko_bro | dfb8c30109f317c1e5b6d211e002fd148695809e | [
"MIT"
] | 110 | 2018-01-21T12:25:13.000Z | 2021-06-10T19:27:22.000Z | tests/test_general_validators/test_has_no_multiple_imports_on_same_line.py | SerejkaSJ/fiasko_bro | dfb8c30109f317c1e5b6d211e002fd148695809e | [
"MIT"
] | 13 | 2017-12-12T22:19:01.000Z | 2019-01-29T18:08:05.000Z | from fiasko_bro.validators import has_multiple_imports_on_same_line
| 34.692308 | 68 | 0.847007 | from fiasko_bro.validators import has_multiple_imports_on_same_line
def test_has_no_multiple_imports_on_same_line_fails(test_repo):
expected_output = 'file_with_multiple_imports_on_same_line.py:3'
output = has_multiple_imports_on_same_line(test_repo)
assert output == expected_output
def test_has_no_mutable_default_arguments_succeeds(origin_repo):
output = has_multiple_imports_on_same_line(origin_repo)
assert output is None
| 335 | 0 | 46 |
85315571c7e446e5cdd29c10abe9c3f4b6e48628 | 423 | py | Python | shabanipy/quantum_hall/__init__.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | 6 | 2019-06-25T20:01:03.000Z | 2022-03-25T23:15:57.000Z | shabanipy/quantum_hall/__init__.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | null | null | null | shabanipy/quantum_hall/__init__.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | 5 | 2019-06-11T17:21:54.000Z | 2021-08-24T14:45:08.000Z | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2019 by ShabaniPy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the MIT license.
#
# The full license is in the file LICENCE, distributed with this software.
# -----------------------------------------------------------------------------
"""Quantum hall data analysis tools.
""" | 38.454545 | 79 | 0.451537 | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2019 by ShabaniPy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the MIT license.
#
# The full license is in the file LICENCE, distributed with this software.
# -----------------------------------------------------------------------------
"""Quantum hall data analysis tools.
""" | 0 | 0 | 0 |
f97e6091781d14277df8d8e2098f687f75cf426f | 15,930 | py | Python | pegasus/sih-anomalias/sih_composite_detector_outlier.py | SecexSaudeTCU/PegaSUS | 0e24c00595e8a7376680dfb2e5aa42e1e9eb7770 | [
"MIT"
] | null | null | null | pegasus/sih-anomalias/sih_composite_detector_outlier.py | SecexSaudeTCU/PegaSUS | 0e24c00595e8a7376680dfb2e5aa42e1e9eb7770 | [
"MIT"
] | null | null | null | pegasus/sih-anomalias/sih_composite_detector_outlier.py | SecexSaudeTCU/PegaSUS | 0e24c00595e8a7376680dfb2e5aa42e1e9eb7770 | [
"MIT"
] | 1 | 2020-08-19T19:31:42.000Z | 2020-08-19T19:31:42.000Z | from outliers.estatistica.zscore import ZScore, ZScoreModificado
from outliers.estatistica.iqr import InterquartileRange
from outliers.densidade.lof import LOF
from outliers.proximidade.isolation_forest import IsolationForest
from outliers.detector import DetectorOutlier
from sih.sih_facade import SIHFacade
import sys
from estatistica.normalidade import se_distribuicao_normal
import numpy as np
from scipy import stats
import pandas as pd
from config.configuracoes import ConfiguracoesAnalise
from sih.dao_sih import DaoSIH
import time
NOME_COLUNA = 'TX_QTD'
NAO_NORMAL = 'NÃO NORMAL'
AP_S_LOG = 'NORMAL APÓS LOG'
NORMAL_ORIGINAL = 'NORMAL ORIGINAL'
AP_S_BOXCOX = 'NORMAL APÓS BOXCOX'
# TODO: Implemenar também CompositeSIADetector e checar o que existe em comum em termos de lógica
## ANALISE 2 - municipio x procedimento - acrescentando qtd 0
# TODO: Colocar aqui a explanação que está no TCC (inclui municípios onde não houve realização de cada procedimento)
if __name__ == '__main__':
# analise1()
#__gerar_dataframes1()
#__gerar_dataframes2()
teste = pd.read_csv('df_procedimentos_por_ano_com_descricao_2.csv', sep=';')
print(teste.head())
| 47.981928 | 124 | 0.696359 | from outliers.estatistica.zscore import ZScore, ZScoreModificado
from outliers.estatistica.iqr import InterquartileRange
from outliers.densidade.lof import LOF
from outliers.proximidade.isolation_forest import IsolationForest
from outliers.detector import DetectorOutlier
from sih.sih_facade import SIHFacade
import sys
from estatistica.normalidade import se_distribuicao_normal
import numpy as np
from scipy import stats
import pandas as pd
from config.configuracoes import ConfiguracoesAnalise
from sih.dao_sih import DaoSIH
import time
NOME_COLUNA = 'TX_QTD'
NAO_NORMAL = 'NÃO NORMAL'
AP_S_LOG = 'NORMAL APÓS LOG'
NORMAL_ORIGINAL = 'NORMAL ORIGINAL'
AP_S_BOXCOX = 'NORMAL APÓS BOXCOX'
# TODO: Implemenar também CompositeSIADetector e checar o que existe em comum em termos de lógica
class SIHCompositeDetectorOutlier(DetectorOutlier):
def __init__(self, df, nome_coluna, distribuicao, qtd_std=3, quantidade_vizinhos=20):
super(SIHCompositeDetectorOutlier, self).__init__(df, nome_coluna)
self.__distribuicao = distribuicao
self.__qtd_std = qtd_std
self.__quantidade_vizinhos = quantidade_vizinhos
def get_outliers(self):
df_pop = self.df[[self.nome_coluna]]
print(df_pop.describe())
if (self.__distribuicao in (NORMAL_ORIGINAL, AP_S_LOG, AP_S_BOXCOX)):
# metodos estatisticos
# Z-score
zscore_outliers = ZScore(self.df, self.nome_coluna, self.__qtd_std).get_outliers()
# Z-score modificado
zscore_outliers2 = ZScoreModificado(self.df, self.nome_coluna, self.__qtd_std).get_outliers()
# IQR
iqr_outliers = InterquartileRange(self.df, self.nome_coluna).get_outliers()
# baseado em proximidade
# Isolation Forest
isolation_outliers = IsolationForest(self.df, self.nome_coluna).get_outliers()
# baseado em densidade
# LocalOutlierFactor
lof_outliers = LOF(self.df, self.nome_coluna, self.__quantidade_vizinhos).get_outliers()
if (self.__distribuicao in (NORMAL_ORIGINAL, AP_S_LOG, AP_S_BOXCOX)):
comum_outliers = zscore_outliers & zscore_outliers2 & iqr_outliers & isolation_outliers & lof_outliers
else:
comum_outliers = isolation_outliers & lof_outliers
outliers = sorted(set(comum_outliers))
if len(outliers) > 0:
if (self.__distribuicao in (NORMAL_ORIGINAL, AP_S_LOG, 'NORMAL APÓS BOXCOX')):
print('\nZ-Score: ' + str(len(zscore_outliers)),
'\nZ-Score modificado: ' + str(len(zscore_outliers2)),
'\nIQR: ' + str(len(iqr_outliers)),
'\nIsolation Forest: ' + str(len(isolation_outliers)),
'\nLocal Outlier Factor: ' + str(len(lof_outliers)),
'\nComum: ' + str(len(outliers)),
'\nOutliers Comuns (índices): ' + str(outliers) + '\n')
else:
print('\nIsolation Forest: ' + str(len(isolation_outliers)),
'\nLocal Outlier Factor: ' + str(len(lof_outliers)),
'\nComum: ' + str(len(outliers)),
'\nOutliers Comuns (índices): ' + str(outliers) + '\n')
else:
print('\nNão foram detectados outliers para esse procedimento!\n')
return outliers
def __teste_normalidade(len_min, df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao):
df_proc_analise_estatistica = pd.DataFrame(
columns=['ANO', 'cod_municipio', 'PROCEDIMENTO', 'NIVEL', 'TX', 'TX_QTD', 'MEDIA', 'MEDIANA', 'STD',
'DISTRIBUICAO', 'MIN', 'MAX'])
for procedimento in df_descricao_procedimentos.index.values:
df_proc = __gerar_informacoes_estatisticas(df_procedimentos_por_ano_com_descricao, len_min, procedimento)
df_proc_analise_estatistica = df_proc_analise_estatistica.append(df_proc)
return df_proc_analise_estatistica
def get_df_distribuicao_nivel(len_min, df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao):
df_proc_analise_estatistica = __teste_normalidade(len_min, df_descricao_procedimentos,
df_procedimentos_por_ano_com_descricao)
df_analise = df_proc_analise_estatistica[['DISTRIBUICAO', 'NIVEL', 'PROCEDIMENTO']].drop_duplicates()
print(df_analise.shape)
grp_NORMAL_BOXCOX = df_analise[df_analise.DISTRIBUICAO == 'NORMAL APÓS BOXCOX'].groupby('NIVEL').count()[
'PROCEDIMENTO'].reset_index()
grp_NORMAL_LOG = df_analise[df_analise.DISTRIBUICAO == 'NORMAL APÓS LOG'].groupby('NIVEL').count()[
'PROCEDIMENTO'].reset_index()
grp_NAO_CHECADA = df_analise[df_analise.DISTRIBUICAO == 'NÃO CHECADA - AMOSTRA PEQUENA'].groupby('NIVEL').count()[
'PROCEDIMENTO'].reset_index()
grp_NAO_NORMAL = df_analise[df_analise.DISTRIBUICAO == 'NÃO NORMAL'].groupby('NIVEL').count()[
'PROCEDIMENTO'].reset_index()
df_distribuicao_nivel1 = grp_NORMAL_BOXCOX.merge(grp_NORMAL_LOG, on='NIVEL', how='outer',
suffixes=('_NORMAL_BOXCOX', '_NORMAL_LOG')).fillna(0).sort_values(
by='NIVEL')
df_distribuicao_nivel2 = grp_NAO_NORMAL.merge(grp_NAO_CHECADA, on='NIVEL', how='outer',
suffixes=('_NAO_NORMAL', '_NAO_CHECADA')).fillna(0).sort_values(
by='NIVEL')
df_distribuicao_nivel = df_distribuicao_nivel1.merge(df_distribuicao_nivel2, on='NIVEL', how='outer',
suffixes=(False, False)).fillna(0).sort_values(by='NIVEL')
print(df_distribuicao_nivel.sum())
print(df_distribuicao_nivel.head())
return df_distribuicao_nivel
def __gerar_informacoes_estatisticas(df_procedimentos_por_ano_com_descricao, len_min, procedimento):
# Obtendo dados do procedimento
df_proc = df_procedimentos_por_ano_com_descricao[
df_procedimentos_por_ano_com_descricao['PROCEDIMENTO'] == procedimento][
['ANO', 'cod_municipio', 'PROCEDIMENTO', 'NIVEL', 'TX']].copy()
df_proc[NOME_COLUNA] = df_proc['TX']
distribuicao = NAO_NORMAL
# teste da distribuicao - normal, log_normal
if (len(df_proc['TX']) >= len_min):
# testa se é distribuição normal
if se_distribuicao_normal(df_proc['TX'], len_min):
distribuicao = 'NORMAL ORIGINAL'
else:
# transformacao logaritmica
if se_distribuicao_normal(np.log(df_proc['TX'] + 0.00000001), len_min):
distribuicao = 'NORMAL APÓS LOG'
df_proc[NOME_COLUNA] = np.log(df_proc['TX'] + 0.00000001)
else:
# transformacao - boxcox
xt, maxlog = stats.boxcox(df_proc['TX'] + 0.00000001)
if se_distribuicao_normal(xt, len_min) and (maxlog >= -1) and (maxlog <= 1):
distribuicao = 'NORMAL APÓS BOXCOX'
df_proc[NOME_COLUNA] = xt
else:
distribuicao = 'NÃO CHECADA - AMOSTRA PEQUENA'
pop = df_proc[NOME_COLUNA]
media = pop.mean()
mediana = pop.median()
std = np.std(pop)
min_tx = pop.min()
max_tx = pop.max()
df_proc['DISTRIBUICAO'] = distribuicao
df_proc['MEDIA'] = media
df_proc['MEDIANA'] = mediana
df_proc['MIN'] = min_tx
df_proc['MAX'] = max_tx
df_proc['STD'] = std
return df_proc
def __get_df_procedimentos_para_analise(len_min, df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao):
df_proc_statistic_analise1 = __teste_normalidade(len_min, df_descricao_procedimentos,
df_procedimentos_por_ano_com_descricao)
# TODO: Checar por que df_procedimentos_por_ano_com_descricao tem uma coluna a mais (Unnamed)
df_proc_ano_completo_analise = pd.merge(df_procedimentos_por_ano_com_descricao, df_proc_statistic_analise1,
on=['ANO', 'cod_municipio', 'PROCEDIMENTO', 'TX', 'NIVEL'])
print(df_proc_ano_completo_analise.shape)
print(df_proc_ano_completo_analise.head(2))
return df_proc_ano_completo_analise
def get_outliers(config, df_descricao_procedimentos, df_proc_ano_completo):
df_proc_outlier = pd.DataFrame(columns=['ANO', 'cod_municipio', 'PROCEDIMENTO', 'TX_QTD'])
# quantidade de desvio padrão para ser considerado outlier
qtd_std = config.get_propriedade('qtd_std_zcore')
quantidade_vizinhos = config.get_propriedade('quantidade_vizinhos_lof')
for procedimento in df_descricao_procedimentos.index.values:
print('\n\n', df_descricao_procedimentos.loc[procedimento]['DESCRICAO'])
# Obtendo dados da análise para o procedimento
df_proc = df_proc_ano_completo[df_proc_ano_completo['PROCEDIMENTO'] == procedimento][['ANO', 'cod_municipio',
'PROCEDIMENTO', 'TX_QTD',
'DISTRIBUICAO']].copy()
print('\n## Número de linhas: ', len(df_proc))
# Detecção de outliers
if (len(df_proc) > 1):
distribuicao = df_proc['DISTRIBUICAO'].iloc[0]
detector = SIHCompositeDetectorOutlier(df_proc, NOME_COLUNA, distribuicao, qtd_std, quantidade_vizinhos)
outliers = detector.get_outliers()
df_outlier = df_proc.loc[outliers, :]
df_proc_outlier = df_proc_outlier.append(df_outlier)
else:
print('Quantidade de linhas insuficiente para detecção de outlier')
df_proc_outlier['OUTLIER'] = 'S'
return df_proc_outlier
def __get_df_analise1(ano):
arquivo_configuracao = sys.argv[1]
dao = DaoSIH(arquivo_configuracao)
sih_facade = SIHFacade(arquivo_configuracao)
df_rd = dao.get_df_procedimentos_realizados_por_municipio(ano)
df_populacao = sih_facade.get_df_populacao()
# df_analise = pd.merge(df_rd, df_populacao, on=['cod_municipio'], how="left")
# TODO: Descomentando a linha acima, vai considerar registros para municípios não informados. A consequência é que
# é necessário setar NaN ou 0 para as respecitvas populações, o que pode levar a resultados inconsistentes. No
# TCC, aparentemente apenas registros relativos a municípios conhecidos são levados em consideração.
df_analise = pd.merge(df_rd, df_populacao, on=['cod_municipio'])
return df_analise, df_populacao
## ANALISE 2 - municipio x procedimento - acrescentando qtd 0
# TODO: Colocar aqui a explanação que está no TCC (inclui municípios onde não houve realização de cada procedimento)
def __get_df_analise2(ano):
arquivo_configuracao = sys.argv[1]
sih_facade = SIHFacade(arquivo_configuracao)
start_time = time.time()
df_populacao = sih_facade.get_df_populacao()
print("df_populacao = sih_facade.get_df_populacao(): --- %s seconds ---" % (time.time() - start_time))
df_populacao['key'] = 0
dao = DaoSIH(arquivo_configuracao)
start_time = time.time()
df_rd = dao.get_df_procedimentos_realizados_por_municipio(ano)
print("df_rd = dao.get_df_procedimentos_realizados_por_municipio(ano): --- %s seconds ---" % (time.time() - start_time))
df_lista_procedimento_ano = df_rd[['ano_cmpt', 'proc_rea']].drop_duplicates()
df_lista_procedimento_ano['key'] = 0
df_proc_ano_munic = pd.merge(df_lista_procedimento_ano, df_populacao, on='key', how='outer')
df_analise2 = pd.merge(df_rd, df_proc_ano_munic, on=['cod_municipio', 'proc_rea', 'ano_cmpt'], how='right')
if len(df_analise2[df_analise2['qtd_procedimento'].isnull()]) > 0:
df_analise2['qtd_procedimento'] = df_analise2['qtd_procedimento'].fillna(0)
df_analise2['vl_total'] = df_analise2['vl_total'].fillna(0)
df_analise2 = df_analise2.astype({'qtd_procedimento':'uint32'})
return df_analise2, df_populacao
def __gerar_dataframes1():
arquivo_configuracao = sys.argv[1]
sih_facade = SIHFacade(arquivo_configuracao)
ano = 2018
df_analise, df_populacao = __get_df_analise1(ano)
df_proc_ano_analise = sih_facade.get_df_procedimentos_ano_para_analise(df_analise, df_populacao)
df_descricao_procedimentos = sih_facade.get_df_descricao_procedimentos(df_proc_ano_analise)
df_procedimentos_por_ano_com_descricao = sih_facade.get_df_procedimentos_por_ano_com_descricao(
df_descricao_procedimentos, df_proc_ano_analise)
df_descricao_procedimentos.to_csv('df_descricao_procedimentos_1.csv')
df_procedimentos_por_ano_com_descricao.to_csv('df_procedimentos_por_ano_com_descricao_1.csv')
return df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao
def __gerar_dataframes2():
arquivo_configuracao = sys.argv[1]
sih_facade = SIHFacade(arquivo_configuracao)
ano = 2018
df_analise, df_populacao = __get_df_analise2(ano)
df_proc_ano_analise = sih_facade.get_df_procedimentos_ano_para_analise(df_analise, df_populacao)
df_descricao_procedimentos = sih_facade.get_df_descricao_procedimentos(df_proc_ano_analise)
df_procedimentos_por_ano_com_descricao = sih_facade.get_df_procedimentos_por_ano_com_descricao(
df_descricao_procedimentos, df_proc_ano_analise)
print(df_procedimentos_por_ano_com_descricao.head())
df_descricao_procedimentos.to_csv('df_descricao_procedimentos_2.csv')
df_procedimentos_por_ano_com_descricao.to_csv('df_procedimentos_por_ano_com_descricao_2.csv', sep=';')
return df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao
def analise1():
arquivo_configuracao = sys.argv[1]
sih_facade = SIHFacade(arquivo_configuracao)
ano = 2014
# df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao = gerar_dataframes()
df_descricao_procedimentos = pd.read_csv('df_descricao_procedimentos.csv')
df_descricao_procedimentos = df_descricao_procedimentos.set_index('PROCEDIMENTO')
df_procedimentos_por_ano_com_descricao = pd.read_csv('df_procedimentos_por_ano_com_descricao.csv')
# get_df_distribuicao_nivel(len_min, df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao)
# __get_df_procedimentos_para_analise(len_min, df_descricao_procedimentos, df_procedimentos_por_ano_com_descricao)
config = ConfiguracoesAnalise(arquivo_configuracao)
df_proc_ano_completo = __get_df_procedimentos_para_analise(config.get_propriedade('len_min'),
df_descricao_procedimentos,
df_procedimentos_por_ano_com_descricao)
df_proc_outlier_analise = get_outliers(config, df_descricao_procedimentos, df_proc_ano_completo)
df_painel_analise = pd.merge(df_proc_ano_completo, df_proc_outlier_analise,
on=['ANO', 'cod_municipio', 'PROCEDIMENTO', 'TX_QTD', 'DISTRIBUICAO'], how='left')
df_painel_analise['OUTLIER'] = df_painel_analise['OUTLIER'].fillna('N')
print(df_painel_analise.shape)
print(df_painel_analise.head(2))
# coluna que identifica se o outlier é maior ou menor que a média
df_painel_analise['OUTLIER_'] = 'N'
df_painel_analise.loc[(df_painel_analise['OUTLIER'] == 'S') & (
df_painel_analise['TX_QTD'] >= df_painel_analise['MEDIA']), 'OUTLIER_'] = 'S_MAIOR'
df_painel_analise.loc[(df_painel_analise['OUTLIER'] == 'S') & (
df_painel_analise['TX_QTD'] < df_painel_analise['MEDIA']), 'OUTLIER_'] = 'S_MENOR'
# dado para painel
df_painel_analise.to_csv('painel_SIH_DADOS_transformados_analise1', sep=';', index=False, decimal=',')
if __name__ == '__main__':
# analise1()
#__gerar_dataframes1()
#__gerar_dataframes2()
teste = pd.read_csv('df_procedimentos_por_ano_com_descricao_2.csv', sep=';')
print(teste.head())
| 14,442 | 30 | 305 |
59a6208aa3aa279f34787ee181cc22bd8893cd57 | 2,811 | py | Python | frocket/common/helpers/utils.py | DynamicYieldProjects/funnel-rocket | 70963fddc0881cebdc6da1af2654d412f95d660c | [
"Apache-2.0"
] | 56 | 2021-04-04T08:15:33.000Z | 2022-03-14T06:31:20.000Z | frocket/common/helpers/utils.py | DynamicYieldProjects/funnel-rocket | 70963fddc0881cebdc6da1af2654d412f95d660c | [
"Apache-2.0"
] | 19 | 2021-04-01T20:35:48.000Z | 2022-03-30T22:07:27.000Z | frocket/common/helpers/utils.py | DynamicYieldProjects/funnel-rocket | 70963fddc0881cebdc6da1af2654d412f95d660c | [
"Apache-2.0"
] | 2 | 2021-07-14T13:47:00.000Z | 2021-08-12T07:58:32.000Z | """For everything but the kitchen sink."""
# Copyright 2021 The Funnel Rocket Maintainers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import functools
import math
import random
import uuid
import time
from io import BytesIO
from typing import Optional, List
import pandas as pd
import pyarrow.feather as feather
import numpy as np
def memoize(obj):
"""Standard issue memoization decorator for caching function results (which don't need invalidation)."""
cache = obj._cache = {}
@functools.wraps(obj)
return memoizer
def sample_from_range(range_max: int,
sample_ratio: float,
max_samples: int,
preselected: Optional[List[int]]) -> List[int]:
"""
Given a range of numbers in 0..range_max, return random samples.
Count of samples is set by sample_ratio, up to max_samples.
If preselected is passed, include these indexes first.
"""
available_indexes = list(range(range_max))
sample_count = min(math.floor(range_max * sample_ratio), max_samples)
if preselected:
chosen = list(preselected)
for i in preselected:
available_indexes.remove(i)
sample_count = max(sample_count - len(preselected), 0)
else:
chosen = []
if sample_count > 0:
chosen += random.choices(available_indexes, k=sample_count)
return chosen
def ndarray_to_bytes(arr: np.ndarray) -> bytes:
"""Use PyArrow's feather format as a compute- and space-efficient format for serializing NumPy arrays."""
df = pd.DataFrame(data={'arr': arr})
buf = BytesIO()
# noinspection PyTypeChecker
feather.write_feather(df, buf)
buf.seek(0)
return buf.read()
| 30.554348 | 109 | 0.677339 | """For everything but the kitchen sink."""
# Copyright 2021 The Funnel Rocket Maintainers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import functools
import math
import random
import uuid
import time
from io import BytesIO
from typing import Optional, List
import pandas as pd
import pyarrow.feather as feather
import numpy as np
def terminal_red(message: str) -> str:
return f"\033[31m{message}\033[0m"
def terminal_green(message: str) -> str:
return f"\033[32m{message}\033[0m"
def memoize(obj):
"""Standard issue memoization decorator for caching function results (which don't need invalidation)."""
cache = obj._cache = {}
@functools.wraps(obj)
def memoizer(*args, **kwargs):
key = str(args) + str(kwargs)
if key not in cache:
cache[key] = obj(*args, **kwargs)
return cache[key]
return memoizer
def sample_from_range(range_max: int,
sample_ratio: float,
max_samples: int,
preselected: Optional[List[int]]) -> List[int]:
"""
Given a range of numbers in 0..range_max, return random samples.
Count of samples is set by sample_ratio, up to max_samples.
If preselected is passed, include these indexes first.
"""
available_indexes = list(range(range_max))
sample_count = min(math.floor(range_max * sample_ratio), max_samples)
if preselected:
chosen = list(preselected)
for i in preselected:
available_indexes.remove(i)
sample_count = max(sample_count - len(preselected), 0)
else:
chosen = []
if sample_count > 0:
chosen += random.choices(available_indexes, k=sample_count)
return chosen
def timestamped_uuid(prefix: str = None) -> str:
return f"{prefix or ''}{math.floor(time.time())}-{str(uuid.uuid4())[:8]}"
def ndarray_to_bytes(arr: np.ndarray) -> bytes:
"""Use PyArrow's feather format as a compute- and space-efficient format for serializing NumPy arrays."""
df = pd.DataFrame(data={'arr': arr})
buf = BytesIO()
# noinspection PyTypeChecker
feather.write_feather(df, buf)
buf.seek(0)
return buf.read()
def bytes_to_ndarray(data: bytes) -> np.ndarray:
df = feather.read_feather(BytesIO(data))
return df['arr']
| 460 | 0 | 118 |
e13a954566afd8fd45f8e48d543bd6a3bc071277 | 740 | py | Python | util/logo/serialize_dataset.py | yyyliu/latent-space-cartography | c731029bfe540ac9ef703e832aac6774c01f075a | [
"BSD-3-Clause"
] | 59 | 2019-04-09T16:18:19.000Z | 2021-11-29T10:44:26.000Z | util/logo/serialize_dataset.py | yyyliu/latent-space-cartography | c731029bfe540ac9ef703e832aac6774c01f075a | [
"BSD-3-Clause"
] | 4 | 2020-08-17T12:05:28.000Z | 2021-06-28T14:13:12.000Z | util/logo/serialize_dataset.py | yyyliu/latent-space-cartography | c731029bfe540ac9ef703e832aac6774c01f075a | [
"BSD-3-Clause"
] | 11 | 2019-05-15T18:48:53.000Z | 2021-08-14T10:33:22.000Z | import h5py
import os
import numpy as np
dim = 12288
base = '/home/yliu0/data/'
pin= os.path.join(base, 'logos.hdf5')
out = os.path.join(base, './latent/latent{}.h5'.format(dim))
num_chns = 3
img_size = 64
if __name__ == '__main__':
# clean
if os.path.exists(out):
os.remove(out)
fin = h5py.File(pin, 'r')
din = fin['logos']
f = h5py.File(out, 'w')
dset = f.create_dataset('latent', (1, dim),
chunks=(1, dim),
maxshape=(None, dim),
dtype='u1')
l = din.shape[0]
din = np.reshape(din, (l, dim))
print din.shape
for i, val in enumerate(din):
dset.resize((i + 1, dim))
dset[i] = val
f.flush()
f.close()
fin.close()
| 19.473684 | 60 | 0.540541 | import h5py
import os
import numpy as np
dim = 12288
base = '/home/yliu0/data/'
pin= os.path.join(base, 'logos.hdf5')
out = os.path.join(base, './latent/latent{}.h5'.format(dim))
num_chns = 3
img_size = 64
if __name__ == '__main__':
# clean
if os.path.exists(out):
os.remove(out)
fin = h5py.File(pin, 'r')
din = fin['logos']
f = h5py.File(out, 'w')
dset = f.create_dataset('latent', (1, dim),
chunks=(1, dim),
maxshape=(None, dim),
dtype='u1')
l = din.shape[0]
din = np.reshape(din, (l, dim))
print din.shape
for i, val in enumerate(din):
dset.resize((i + 1, dim))
dset[i] = val
f.flush()
f.close()
fin.close()
| 0 | 0 | 0 |
afb5601db4ef7607fb7ef8b5a3855ab5738f8f72 | 446 | py | Python | migrations/versions/8550c7394f4_change_commands_env_to_text.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 443 | 2015-01-03T16:28:39.000Z | 2021-04-26T16:39:46.000Z | migrations/versions/8550c7394f4_change_commands_env_to_text.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 12 | 2015-07-30T19:07:16.000Z | 2016-11-07T23:11:21.000Z | migrations/versions/8550c7394f4_change_commands_env_to_text.py | vault-the/changes | 37e23c3141b75e4785cf398d015e3dbca41bdd56 | [
"Apache-2.0"
] | 47 | 2015-01-09T10:04:00.000Z | 2020-11-18T17:58:19.000Z | """change commands.env to text
Revision ID: 8550c7394f4
Revises: 5844fbc9d9e4
Create Date: 2015-06-15 13:42:13.990095
"""
# revision identifiers, used by Alembic.
revision = '8550c7394f4'
down_revision = '5844fbc9d9e4'
from alembic import op
import sqlalchemy as sa
| 18.583333 | 75 | 0.721973 | """change commands.env to text
Revision ID: 8550c7394f4
Revises: 5844fbc9d9e4
Create Date: 2015-06-15 13:42:13.990095
"""
# revision identifiers, used by Alembic.
revision = '8550c7394f4'
down_revision = '5844fbc9d9e4'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.alter_column('command', 'env', type_ = sa.types.Text())
def downgrade():
op.alter_column('command', 'env', type_ = sa.types.String(length=2048))
| 127 | 0 | 46 |
6c4d77141ec648d322cfa9547d8a235ae87166bc | 377 | py | Python | api/models.py | AbhijithGanesh/Student-Portal-CMS | 2b29a4b5ee52c3e821de3e440bfbb02d12564ba4 | [
"BSD-3-Clause"
] | null | null | null | api/models.py | AbhijithGanesh/Student-Portal-CMS | 2b29a4b5ee52c3e821de3e440bfbb02d12564ba4 | [
"BSD-3-Clause"
] | 1 | 2021-10-11T04:36:54.000Z | 2021-10-11T04:36:54.000Z | api/models.py | AbhijithGanesh/Student-Portal-CMS | 2b29a4b5ee52c3e821de3e440bfbb02d12564ba4 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from pydantic import *
from typing import *
from django.contrib.auth.models import User
from CMSLogic.models import *
from asgiref.sync import sync_to_async
| 26.928571 | 50 | 0.72679 | from django.db import models
from pydantic import *
from typing import *
from django.contrib.auth.models import User
from CMSLogic.models import *
from asgiref.sync import sync_to_async
def EventsProcessor():
Data = list(Events.objects.all())
# Description = Data.get("Event_Descripton")
# Event_Incharge = Data.get("Event_Incharge")
return Data
| 158 | 0 | 25 |
2d6e51702f64e5ffa0f59ad631d68552d46f5365 | 733 | py | Python | exercicios3/ex072.py | LuanGermano/Mundo-3-Curso-em-Video-Python | 1dffda71ff769e4e901b85e4cca5595a5dbb545c | [
"MIT"
] | null | null | null | exercicios3/ex072.py | LuanGermano/Mundo-3-Curso-em-Video-Python | 1dffda71ff769e4e901b85e4cca5595a5dbb545c | [
"MIT"
] | null | null | null | exercicios3/ex072.py | LuanGermano/Mundo-3-Curso-em-Video-Python | 1dffda71ff769e4e901b85e4cca5595a5dbb545c | [
"MIT"
] | null | null | null | #Crie um programa que tenha uma Tupla totalmente preenchida com uma contagem por extenso, de zero ate vinte.
#Seu programa deverá ler um numero pelo teclado e mostra-lo por extenso.
# só catar o numero gerado e botar dentro do indice
extenso = ('Zero', 'Um', 'Dois', 'Tres', 'Quatro', 'Cinco', 'Seis', 'Sete', 'Oito', 'Nove',
'Dez', 'Onze', 'Doze','Treze', 'Catorze', 'Quinze', 'Dezesseis','Dezessete',
'Dezoito','Dezenove','Vinte')
while True:
num = ''
while num not in range(0,20):
num = int(input('Digite um valor de 0 a 20: '))
print(f'O seu numero {num} por extenso é {extenso[num]}')
cont = str(input('Deseja continuar?[S/N] ')).upper().strip()
if cont == "N":
break
| 43.117647 | 108 | 0.620737 | #Crie um programa que tenha uma Tupla totalmente preenchida com uma contagem por extenso, de zero ate vinte.
#Seu programa deverá ler um numero pelo teclado e mostra-lo por extenso.
# só catar o numero gerado e botar dentro do indice
extenso = ('Zero', 'Um', 'Dois', 'Tres', 'Quatro', 'Cinco', 'Seis', 'Sete', 'Oito', 'Nove',
'Dez', 'Onze', 'Doze','Treze', 'Catorze', 'Quinze', 'Dezesseis','Dezessete',
'Dezoito','Dezenove','Vinte')
while True:
num = ''
while num not in range(0,20):
num = int(input('Digite um valor de 0 a 20: '))
print(f'O seu numero {num} por extenso é {extenso[num]}')
cont = str(input('Deseja continuar?[S/N] ')).upper().strip()
if cont == "N":
break
| 0 | 0 | 0 |
1be2f856e4efaebd50902b781c66bd570645c78c | 24 | py | Python | binding/python/mc_rbdyn/__init__.py | fkanehiro/mc_rtc | 776017e46c1a4626c1d8f1fb7d51675a9b9b9cad | [
"BSD-2-Clause"
] | 44 | 2019-12-13T08:48:02.000Z | 2022-03-24T03:11:25.000Z | binding/python/mc_rbdyn/__init__.py | fkanehiro/mc_rtc | 776017e46c1a4626c1d8f1fb7d51675a9b9b9cad | [
"BSD-2-Clause"
] | 160 | 2020-01-17T20:46:23.000Z | 2022-03-31T01:32:42.000Z | binding/python/mc_rbdyn/__init__.py | fkanehiro/mc_rtc | 776017e46c1a4626c1d8f1fb7d51675a9b9b9cad | [
"BSD-2-Clause"
] | 20 | 2019-12-20T04:34:00.000Z | 2022-03-24T01:31:27.000Z | from .mc_rbdyn import *
| 12 | 23 | 0.75 | from .mc_rbdyn import *
| 0 | 0 | 0 |
078501ad68ff4eeafc7889f044308e6c71e94f42 | 5,981 | py | Python | lib/python/treadmill/cgroups.py | vrautela/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | 133 | 2016-09-15T13:36:12.000Z | 2021-01-18T06:29:13.000Z | lib/python/treadmill/cgroups.py | vrautela/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | 108 | 2016-12-28T23:41:27.000Z | 2020-03-05T21:20:37.000Z | lib/python/treadmill/cgroups.py | evreng/treadmill | 05e47fa8acdf8bad7af78e737efb26ea6488de82 | [
"Apache-2.0"
] | 69 | 2016-09-23T20:38:58.000Z | 2020-11-11T02:31:21.000Z | """Common cgroups management routines.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import io
import logging
import os
from treadmill import fs
from treadmill.fs import linux as fs_linux
#: Base directory where we expect to find cgroups
CGROOT = '/sys/fs/cgroup'
#: Cgroups mount layout, modeled after after Red Hat 7.
WANTED_CGROUPS = {
'cpu': 'cpu,cpuacct',
'cpuacct': 'cpu,cpuacct',
'cpuset': 'cpuset',
'memory': 'memory',
'blkio': 'blkio',
'net_cls': 'net_cls,net_prio',
'net_prio': 'net_cls,net_prio',
}
#: Where to read kernel supported cgroups
_PROC_CGROUPS = '/proc/cgroups'
_PROC_CGROUP = '/proc/{}/cgroup'
_SUBSYSTEMS2MOUNTS = None
_LOGGER = logging.getLogger(__name__)
def read_mounted_cgroups(filter_by=CGROOT):
"""Read all the currently mounted cgroups and their mount points.
:params ``str`` filter_by:
Filter out cgroups mounted outside of this path. Set the None/'' to
obtain all mountpoints.
:returns:
``dict`` - Map of cgroup subsystems to their mountpoints list.
"""
availables = _available_subsystems()
mounts = fs_linux.list_mounts()
subsys2mnt = {}
for mount_entry in mounts:
if mount_entry.fs_type != 'cgroup':
continue
for opt in mount_entry.mnt_opts:
if opt in availables:
if not filter_by or mount_entry.target.startswith(filter_by):
subsys2mnt.setdefault(opt, []).append(mount_entry.target)
return subsys2mnt
def mounted_subsystems():
"""Return the cached cgroup subsystems to mount dict.
:returns:
``dict`` - CGroup subsystem to mountpoints list.
"""
# allow global variable to cache
global _SUBSYSTEMS2MOUNTS # pylint: disable=W0603
if _SUBSYSTEMS2MOUNTS is None:
_SUBSYSTEMS2MOUNTS = read_mounted_cgroups(filter_by=CGROOT)
return _SUBSYSTEMS2MOUNTS
def proc_cgroups(proc='self'):
"""Read a process' cgroups
:returns:
``dict`` - Dictionary of all the process' subsystem and cgroups.
"""
assert isinstance(proc, int) or '/' not in proc
cgroups = {}
with io.open(_PROC_CGROUP.format(proc), 'r') as f:
for cgroup_line in f:
(_id, subsys, path) = cgroup_line.strip().split(':', 2)
cgroups[subsys] = path
return cgroups
def makepath(subsystem, group, pseudofile=None):
"""Pieces together a full path of the cgroup.
"""
mountpoint = _get_mountpoint(subsystem)
group = group.strip('/')
if pseudofile:
return os.path.join(mountpoint, group, pseudofile)
return os.path.join(mountpoint, group)
def extractpath(path, subsystem, pseudofile=None):
"""Extract cgroup name from a cgroup path.
"""
mountpoint = _get_mountpoint(subsystem)
if not path.startswith(mountpoint):
raise ValueError('cgroup path does not start with %r' % mountpoint)
subpath = path[len(mountpoint):]
if pseudofile is None:
return subpath.strip('/')
elif not subpath.endswith(pseudofile):
raise ValueError('cgroup path not end with pseudofile %r' % pseudofile)
return subpath[:-len(pseudofile)].strip('/')
def create(subsystem, group):
"""Create a cgroup.
"""
fullpath = makepath(subsystem, group)
return fs.mkdir_safe(fullpath)
def delete(subsystem, group):
"""Delete cgroup (and all sub-cgroups).
"""
fullpath = makepath(subsystem, group)
os.rmdir(fullpath)
def set_value(subsystem, group, pseudofile, value):
"""Set value in cgroup pseudofile"""
fullpath = makepath(subsystem, group, pseudofile)
# Make sure we have utf8 strings
if hasattr(value, 'decode'):
value = value.decode()
value = '{}'.format(value)
_LOGGER.debug('setting %s => %s', fullpath, value)
with io.open(fullpath, 'w') as f:
f.write(value)
def get_data(subsystem, group, pseudofile):
"""Reads the data of cgroup parameter."""
fullpath = makepath(subsystem, group, pseudofile)
with io.open(fullpath, 'r') as f:
return f.read().strip()
def get_value(subsystem, group, pseudofile):
"""Reads the data and convert to value of cgroup parameter.
returns: int
"""
data = get_data(subsystem, group, pseudofile)
try:
return _safe_int(data)
except ValueError:
_LOGGER.exception('Invalid data from %s:/%s[%s]: %r',
subsystem, group, pseudofile, data)
return 0
def join(subsystem, group, pid=None):
"""Move process into a specific cgroup"""
if pid is None:
pid = os.getpid()
return set_value(subsystem, group, 'tasks', pid)
def inherit_value(subsystem, group, pseudofile):
"""Inherit value from parent group.
"""
parent_group = os.path.dirname(group)
parent_value = get_data(subsystem, parent_group, pseudofile)
set_value(subsystem, group, pseudofile, parent_value)
def _get_mountpoint(subsystem):
"""Returns mountpoint of a particular subsystem.
"""
mounts = mounted_subsystems()
return mounts[subsystem][0]
def _available_subsystems():
"""Get set of available cgroup subsystems.
"""
subsystems = []
with io.open(_PROC_CGROUPS, 'r') as cgroups:
for cgroup in cgroups:
(
subsys_name,
_hierarchy,
_num_cgroups,
enabled
) = cgroup.split()
if subsys_name[0] != '#' and enabled == '1':
subsystems.append(subsys_name)
return subsystems
def _safe_int(num_str):
"""Safely parse a value from cgroup pseudofile into an int.
"""
# Values read in cgroups could have multiple lines.
value = int(num_str.split('\n')[0].strip(), base=10)
# not able to have value less than 0
if value < 0:
value = 0
return value
| 26.582222 | 79 | 0.650393 | """Common cgroups management routines.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import io
import logging
import os
from treadmill import fs
from treadmill.fs import linux as fs_linux
#: Base directory where we expect to find cgroups
CGROOT = '/sys/fs/cgroup'
#: Cgroups mount layout, modeled after after Red Hat 7.
WANTED_CGROUPS = {
'cpu': 'cpu,cpuacct',
'cpuacct': 'cpu,cpuacct',
'cpuset': 'cpuset',
'memory': 'memory',
'blkio': 'blkio',
'net_cls': 'net_cls,net_prio',
'net_prio': 'net_cls,net_prio',
}
#: Where to read kernel supported cgroups
_PROC_CGROUPS = '/proc/cgroups'
_PROC_CGROUP = '/proc/{}/cgroup'
_SUBSYSTEMS2MOUNTS = None
_LOGGER = logging.getLogger(__name__)
def read_mounted_cgroups(filter_by=CGROOT):
"""Read all the currently mounted cgroups and their mount points.
:params ``str`` filter_by:
Filter out cgroups mounted outside of this path. Set the None/'' to
obtain all mountpoints.
:returns:
``dict`` - Map of cgroup subsystems to their mountpoints list.
"""
availables = _available_subsystems()
mounts = fs_linux.list_mounts()
subsys2mnt = {}
for mount_entry in mounts:
if mount_entry.fs_type != 'cgroup':
continue
for opt in mount_entry.mnt_opts:
if opt in availables:
if not filter_by or mount_entry.target.startswith(filter_by):
subsys2mnt.setdefault(opt, []).append(mount_entry.target)
return subsys2mnt
def mounted_subsystems():
"""Return the cached cgroup subsystems to mount dict.
:returns:
``dict`` - CGroup subsystem to mountpoints list.
"""
# allow global variable to cache
global _SUBSYSTEMS2MOUNTS # pylint: disable=W0603
if _SUBSYSTEMS2MOUNTS is None:
_SUBSYSTEMS2MOUNTS = read_mounted_cgroups(filter_by=CGROOT)
return _SUBSYSTEMS2MOUNTS
def proc_cgroups(proc='self'):
"""Read a process' cgroups
:returns:
``dict`` - Dictionary of all the process' subsystem and cgroups.
"""
assert isinstance(proc, int) or '/' not in proc
cgroups = {}
with io.open(_PROC_CGROUP.format(proc), 'r') as f:
for cgroup_line in f:
(_id, subsys, path) = cgroup_line.strip().split(':', 2)
cgroups[subsys] = path
return cgroups
def makepath(subsystem, group, pseudofile=None):
"""Pieces together a full path of the cgroup.
"""
mountpoint = _get_mountpoint(subsystem)
group = group.strip('/')
if pseudofile:
return os.path.join(mountpoint, group, pseudofile)
return os.path.join(mountpoint, group)
def extractpath(path, subsystem, pseudofile=None):
"""Extract cgroup name from a cgroup path.
"""
mountpoint = _get_mountpoint(subsystem)
if not path.startswith(mountpoint):
raise ValueError('cgroup path does not start with %r' % mountpoint)
subpath = path[len(mountpoint):]
if pseudofile is None:
return subpath.strip('/')
elif not subpath.endswith(pseudofile):
raise ValueError('cgroup path not end with pseudofile %r' % pseudofile)
return subpath[:-len(pseudofile)].strip('/')
def create(subsystem, group):
"""Create a cgroup.
"""
fullpath = makepath(subsystem, group)
return fs.mkdir_safe(fullpath)
def delete(subsystem, group):
"""Delete cgroup (and all sub-cgroups).
"""
fullpath = makepath(subsystem, group)
os.rmdir(fullpath)
def set_value(subsystem, group, pseudofile, value):
"""Set value in cgroup pseudofile"""
fullpath = makepath(subsystem, group, pseudofile)
# Make sure we have utf8 strings
if hasattr(value, 'decode'):
value = value.decode()
value = '{}'.format(value)
_LOGGER.debug('setting %s => %s', fullpath, value)
with io.open(fullpath, 'w') as f:
f.write(value)
def get_data(subsystem, group, pseudofile):
"""Reads the data of cgroup parameter."""
fullpath = makepath(subsystem, group, pseudofile)
with io.open(fullpath, 'r') as f:
return f.read().strip()
def get_value(subsystem, group, pseudofile):
"""Reads the data and convert to value of cgroup parameter.
returns: int
"""
data = get_data(subsystem, group, pseudofile)
try:
return _safe_int(data)
except ValueError:
_LOGGER.exception('Invalid data from %s:/%s[%s]: %r',
subsystem, group, pseudofile, data)
return 0
def join(subsystem, group, pid=None):
"""Move process into a specific cgroup"""
if pid is None:
pid = os.getpid()
return set_value(subsystem, group, 'tasks', pid)
def inherit_value(subsystem, group, pseudofile):
"""Inherit value from parent group.
"""
parent_group = os.path.dirname(group)
parent_value = get_data(subsystem, parent_group, pseudofile)
set_value(subsystem, group, pseudofile, parent_value)
def _get_mountpoint(subsystem):
"""Returns mountpoint of a particular subsystem.
"""
mounts = mounted_subsystems()
return mounts[subsystem][0]
def _available_subsystems():
"""Get set of available cgroup subsystems.
"""
subsystems = []
with io.open(_PROC_CGROUPS, 'r') as cgroups:
for cgroup in cgroups:
(
subsys_name,
_hierarchy,
_num_cgroups,
enabled
) = cgroup.split()
if subsys_name[0] != '#' and enabled == '1':
subsystems.append(subsys_name)
return subsystems
def _safe_int(num_str):
"""Safely parse a value from cgroup pseudofile into an int.
"""
# Values read in cgroups could have multiple lines.
value = int(num_str.split('\n')[0].strip(), base=10)
# not able to have value less than 0
if value < 0:
value = 0
return value
| 0 | 0 | 0 |
38ec51a5930087e513ed0fcc5c2b8322af6ee357 | 795 | py | Python | fompy/util/zeros.py | kononovarseniy/fompy | 2d9d1b1c75b304dd50f108568d8dcee84b9e87b1 | [
"MIT"
] | 5 | 2020-10-16T18:10:17.000Z | 2020-12-18T11:35:30.000Z | fompy/util/zeros.py | kononovarseniy/fompy | 2d9d1b1c75b304dd50f108568d8dcee84b9e87b1 | [
"MIT"
] | 17 | 2020-10-22T03:19:46.000Z | 2020-12-15T05:33:56.000Z | fompy/util/zeros.py | kononovarseniy/fompy | 2d9d1b1c75b304dd50f108568d8dcee84b9e87b1 | [
"MIT"
] | null | null | null | from itertools import count, islice
from scipy.optimize import bisect
| 25.645161 | 85 | 0.637736 | from itertools import count, islice
from scipy.optimize import bisect
def locate_zeros(points):
px = py = None
for x, y in points:
if px is not None and py * y < 0:
yield px, x
px = x
py = y
def locate_function_zeros(func, start, step):
xs = (start + step * i for i in count())
points = ((x, func(x)) for x in xs)
return locate_zeros(points)
def locate_nth_function_zero(func, start, step, num=0):
if num < 0:
step = -step
num = -num - 1
return next(islice(locate_function_zeros(func, start, step), num, num + 1), None)
def find_nth_function_zero(func, x0, xtol_coarse, xtol_fine, num=0):
bracket = locate_nth_function_zero(func, x0, xtol_coarse, num)
return bisect(func, *bracket, xtol=xtol_fine)
| 628 | 0 | 92 |
6949cc9dfbe6a66151419b8c802249bfffe52479 | 935 | py | Python | Projects_in_Python/QR_Reader/main.py | pky99/Mini_Python_Projects | 1cd3caa0aa48503a1f501f1ab90f34546615cf9a | [
"MIT"
] | null | null | null | Projects_in_Python/QR_Reader/main.py | pky99/Mini_Python_Projects | 1cd3caa0aa48503a1f501f1ab90f34546615cf9a | [
"MIT"
] | null | null | null | Projects_in_Python/QR_Reader/main.py | pky99/Mini_Python_Projects | 1cd3caa0aa48503a1f501f1ab90f34546615cf9a | [
"MIT"
] | null | null | null |
import cv2
from pyzbar import pyzbar
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
readQR()
| 25.27027 | 84 | 0.583957 |
import cv2
from pyzbar import pyzbar
def read_code(frame):
codes = pyzbar.decode(frame)
for code in codes:
x, y, w, h = code.rect
code_info = code.data.decode('utf-8')
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, code_info, (x + 6, y - 6), font, 2.0, (255, 255, 255), 1)
with open("qr_code_result.txt", mode='w') as file:
file.write("Recognized code:" + code_info)
return frame
def readQR():
camera = cv2.VideoCapture(0)
ret, frame = camera.read()
while ret:
ret, frame = camera.read()
frame = read_code(frame)
cv2.imshow('QR code reader', frame)
if cv2.waitKey(1) & 0xFF == 27:
break
camera.release()
cv2.destroyAllWindows()
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
readQR()
| 748 | 0 | 46 |
fae391c60409d4e71f461ce211e8f4aed8541f56 | 901 | py | Python | fcc_split/credo_download.py | sunlightlabs/fcc-net-neutrality-comments | 56bcc6101a0dd5dcc3dc251014f30c2a2e0cde5b | [
"MIT"
] | 18 | 2015-02-11T20:11:19.000Z | 2020-11-13T23:22:47.000Z | fcc_split/credo_download.py | sunlightlabs/fcc-net-neutrality-comments | 56bcc6101a0dd5dcc3dc251014f30c2a2e0cde5b | [
"MIT"
] | null | null | null | fcc_split/credo_download.py | sunlightlabs/fcc-net-neutrality-comments | 56bcc6101a0dd5dcc3dc251014f30c2a2e0cde5b | [
"MIT"
] | 6 | 2015-10-26T20:51:26.000Z | 2021-04-18T16:47:30.000Z | import os, json, sys, operator, urllib, urllib2
from pyquery import PyQuery as pq
credo_dir = sys.argv[1]
if __name__ == "__main__":
json_files = [f for f in all_files(credo_dir) if f.endswith('.json') and '-' not in os.path.basename(f)]
for filename in json_files:
meta = json.load(open(filename))
page = pq(urllib2.urlopen("http://apps.fcc.gov/ecfs/comment/view?id=" + meta['id']).read())
print 'Processing %s...' % filename
for number, href in enumerate([a.attr('href').strip() for a in page.find('.tableDiv a[href*=document]').items()]):
print "Downloading %s..." % number
urllib.urlretrieve("http://apps.fcc.gov" + str(href), os.path.join(os.path.dirname(filename), str(meta['id']) + "-" + str(number) + ".pdf")) | 47.421053 | 152 | 0.631521 | import os, json, sys, operator, urllib, urllib2
from pyquery import PyQuery as pq
def all_files(dir):
return reduce(operator.add, [[os.path.join(x[0], y) for y in x[2]] for x in os.walk(dir)])
credo_dir = sys.argv[1]
if __name__ == "__main__":
json_files = [f for f in all_files(credo_dir) if f.endswith('.json') and '-' not in os.path.basename(f)]
for filename in json_files:
meta = json.load(open(filename))
page = pq(urllib2.urlopen("http://apps.fcc.gov/ecfs/comment/view?id=" + meta['id']).read())
print 'Processing %s...' % filename
for number, href in enumerate([a.attr('href').strip() for a in page.find('.tableDiv a[href*=document]').items()]):
print "Downloading %s..." % number
urllib.urlretrieve("http://apps.fcc.gov" + str(href), os.path.join(os.path.dirname(filename), str(meta['id']) + "-" + str(number) + ".pdf")) | 93 | 0 | 23 |
ed84a4b201d8276a22307f2ecf603a258673a174 | 3,830 | py | Python | timeflux/core/node.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 123 | 2019-01-09T08:57:39.000Z | 2022-03-18T18:59:51.000Z | timeflux/core/node.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 43 | 2019-03-08T10:16:39.000Z | 2021-06-14T17:17:18.000Z | timeflux/core/node.py | HerySon/timeflux | 01a5a27a3368afe8b0c1da475f84618e11ffec3b | [
"MIT"
] | 18 | 2019-03-26T08:51:21.000Z | 2021-10-14T23:10:33.000Z | """Node base class."""
import re
import logging
from abc import ABC, abstractmethod
from timeflux.core.io import Port
| 29.236641 | 93 | 0.547781 | """Node base class."""
import re
import logging
from abc import ABC, abstractmethod
from timeflux.core.io import Port
class Node(ABC):
def __new__(cls, *args, **kwargs):
"""Create instance and initialize the logger."""
instance = super().__new__(cls)
instance.logger = logging.getLogger(
"timeflux." + cls.__module__ + "." + cls.__name__
)
instance.ports = {}
return instance
def __init__(self):
"""Instantiate the node."""
pass
def __getattr__(self, name):
"""Create input and output ports on the fly.
Args:
name (string): The name of the port, prefixed with `i_` (input) or `o_` (output).
Default ports are also allowed (`i` or `o`).
Returns:
Port: The newly created port.
"""
if name == "i" or name.startswith("i_") or name == "o" or name.startswith("o_"):
self.ports[name] = Port()
setattr(self, name, self.ports[name])
return self.ports[name]
raise AttributeError(
f"type object '{type(self).__name__}' has no attribute '{name}'"
)
def bind(self, source, target):
"""Create an alias of a port
Args:
source (string): The name of the source port
target (string): The name of the target port
"""
if (
target == "i"
or target.startswith("i_")
or target == "o"
or target.startswith("o_")
):
getattr(self, source) # Create the source port if it does not already exist
self.ports[target] = self.ports[source]
setattr(self, target, self.ports[source])
def iterate(self, name="*"):
"""Iterate through ports.
If ``name`` ends with the globbing character (`*`), the generator iterates
through all existing ports matching that pattern. Otherwise, only one port is
returned. If it does not already exist, it is automatically created.
Args:
name (string): The matching pattern.
Yields:
(tupple): A tupple containing:
* name (`string`): The full port name.
* suffix (`string`): The part of the name matching the globbing character.
* port (`Port`): The port object.
"""
if name.endswith("*"):
skip = len(name) - 1
name = name[:-1]
for key, port in self.ports.items():
if key.startswith(name):
yield key, key[skip:], port
else:
yield name, "", getattr(self, name)
def clear(self):
"""Reset all ports.
It is assumed that numbered ports (i.e. those with a name ending with an
underscore followed by numbers) are temporary and must be completely removed.
The only exception is when they are bound to a default or named port.
All other ports are simply emptied to avoid the cost of reinstanciating a new
`Port` object before each update.
"""
if not hasattr(self, "_re_dynamic_port"):
self._re_dynamic_port = re.compile(".*_[0-9]+$")
remove = []
ids = []
for name, port in self.ports.items():
port.clear()
if self._re_dynamic_port.match(name):
if id(port) not in ids:
remove.append(name)
continue
ids.append(id(port))
for name in remove:
del self.ports[name]
delattr(self, name)
@abstractmethod
def update(self):
"""Update the input and output ports."""
pass
def terminate(self):
"""Perform cleanup upon termination."""
pass
| 0 | 3,687 | 23 |
ae8656f4c14d4106475af259c361d5ab27b3ce99 | 1,667 | py | Python | cegid/apps/users/urls.py | vsoch/tcell | 3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6 | [
"MIT"
] | null | null | null | cegid/apps/users/urls.py | vsoch/tcell | 3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6 | [
"MIT"
] | 9 | 2016-08-04T22:56:21.000Z | 2016-08-17T20:55:57.000Z | cegid/apps/users/urls.py | vsoch/tcell | 3c4a19e5c78f1a36a2fe5e0f3229d1d70ef3a2c6 | [
"MIT"
] | 1 | 2016-10-11T04:22:52.000Z | 2016-10-11T04:22:52.000Z | from django.conf.urls import patterns, url
from django.conf import settings
from django.contrib import admin
from .views import view_profile, edit_user, create_user, view_faculty, view_staff, edit_profile
from django.contrib.auth import views as auth_views
admin.autodiscover()
urlpatterns = [
url(r'^people/faculty$',view_faculty,name="faculty"),
url(r'^people/staff$',view_staff,name="staff"),
url(r'^login/$', auth_views.login,{'extra_context': {'plus_id': getattr(settings, 'SOCIAL_AUTH_GOOGLE_PLUS_KEY', None),
'plus_scope': 'profile email'}},name="login"),
url(r'^logout/$', auth_views.logout,{'template_name': 'registration/logout.html', 'next_page': '/'}, name="logout"),
url(r'^create/$',create_user,name="create_user"),
url(r'^profile/password/$',auth_views.password_change,name='password_change'),
url(r'^password/change/done/$',auth_views.password_change_done,name='password_change_done'),
url(r'^password/reset/$',auth_views.password_reset,name='password_reset'),
url(r'^password/reset/done/$',auth_views.password_reset_done,name='password_reset_done'),
url(r'^password/reset/complete/$',auth_views.password_reset_complete,name='password_reset_complete'),
url(r'^password/reset/confirm/(?P<uidb64>[0-9A-Za-z]+)-(?P<token>.+)/$',auth_views.password_reset_confirm,name='password_reset_confirm'),
url(r'^profile/edit$',edit_user,name="edit_user"),
url(r'^profile/details$',edit_profile,name="edit_profile"),
url(r'^profile/.*$',view_profile,name="my_profile"),
url(r'^(?P<username>[A-Za-z0-9@/./+/-/_]+)/$',view_profile,name="profile")
]
| 61.740741 | 141 | 0.704859 | from django.conf.urls import patterns, url
from django.conf import settings
from django.contrib import admin
from .views import view_profile, edit_user, create_user, view_faculty, view_staff, edit_profile
from django.contrib.auth import views as auth_views
admin.autodiscover()
urlpatterns = [
url(r'^people/faculty$',view_faculty,name="faculty"),
url(r'^people/staff$',view_staff,name="staff"),
url(r'^login/$', auth_views.login,{'extra_context': {'plus_id': getattr(settings, 'SOCIAL_AUTH_GOOGLE_PLUS_KEY', None),
'plus_scope': 'profile email'}},name="login"),
url(r'^logout/$', auth_views.logout,{'template_name': 'registration/logout.html', 'next_page': '/'}, name="logout"),
url(r'^create/$',create_user,name="create_user"),
url(r'^profile/password/$',auth_views.password_change,name='password_change'),
url(r'^password/change/done/$',auth_views.password_change_done,name='password_change_done'),
url(r'^password/reset/$',auth_views.password_reset,name='password_reset'),
url(r'^password/reset/done/$',auth_views.password_reset_done,name='password_reset_done'),
url(r'^password/reset/complete/$',auth_views.password_reset_complete,name='password_reset_complete'),
url(r'^password/reset/confirm/(?P<uidb64>[0-9A-Za-z]+)-(?P<token>.+)/$',auth_views.password_reset_confirm,name='password_reset_confirm'),
url(r'^profile/edit$',edit_user,name="edit_user"),
url(r'^profile/details$',edit_profile,name="edit_profile"),
url(r'^profile/.*$',view_profile,name="my_profile"),
url(r'^(?P<username>[A-Za-z0-9@/./+/-/_]+)/$',view_profile,name="profile")
]
| 0 | 0 | 0 |
ecc509661456f00ad41ada5efec4da261bcad594 | 328 | py | Python | gpullall/tests/test_githelpers.py | 0xcomposure/gpullall | 77f93d9fb3eba838e5f885d41c84174f0980c64f | [
"MIT"
] | 1 | 2021-04-13T13:33:23.000Z | 2021-04-13T13:33:23.000Z | gpullall/tests/test_githelpers.py | 0xcomposure/gpullall | 77f93d9fb3eba838e5f885d41c84174f0980c64f | [
"MIT"
] | null | null | null | gpullall/tests/test_githelpers.py | 0xcomposure/gpullall | 77f93d9fb3eba838e5f885d41c84174f0980c64f | [
"MIT"
] | null | null | null | import os
import unittest
import sys
sys.path.append("..")
import githelpers # noqa: E402
if __name__ == "__main__":
unittest.main()
| 19.294118 | 53 | 0.621951 | import os
import unittest
import sys
sys.path.append("..")
import githelpers # noqa: E402
class TestGitHelpers(unittest.TestCase):
def test_get_path(self):
self.assertIn(
os.path.abspath("../../"),
githelpers.get_repositories("../../../"))
if __name__ == "__main__":
unittest.main()
| 119 | 19 | 49 |
f5fa1a321ab9f4569ec04c9bbb52bcf961dec01e | 11,104 | py | Python | videoProcess.py | kaleem94/CarND-Advanced-Lane-Lines | eaed810c947d534613e919b688377c87735dab5b | [
"MIT"
] | null | null | null | videoProcess.py | kaleem94/CarND-Advanced-Lane-Lines | eaed810c947d534613e919b688377c87735dab5b | [
"MIT"
] | null | null | null | videoProcess.py | kaleem94/CarND-Advanced-Lane-Lines | eaed810c947d534613e919b688377c87735dab5b | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import glob
import pickle
line = None
M = None
Minv = None
cameraMat = None
distCoeffs = None
dist_pickle = pickle.load( open( "camera_cal/wide_dist_pickle.p", "rb" ) )
objpoints = dist_pickle["objpoints"]
imgpoints = dist_pickle["imgpoints"]
mtx = dist_pickle["mtx"]
dist = dist_pickle["dist"]
img = cv2.imread('camera_cal/calibration5.jpg')
img_size = (img.shape[1], img.shape[0])
#ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, img_size,None,None)
images = glob.glob('test_images/*.jpg')
nCount = 0
for idx, fname in enumerate(images):
image = mpimg.imread(fname)
img1 = pipeline(image)
plt.figure(nCount)
f, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,10))
ax1.imshow(image)
# ax1.imshow(img)
ax1.set_title('Original Image', fontsize=30)
ax2.imshow(img1)
ax2.set_title('Binary Image', fontsize=30)
nCount+=1 | 40.231884 | 211 | 0.646884 | import cv2
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import glob
import pickle
line = None
M = None
Minv = None
cameraMat = None
distCoeffs = None
class Line:
def __init__(self):
# if the first frame of video has been processed
self.first_frame_processed = False
self.img = None
self.mse_tolerance = 0.01
self.left_fit = [np.array([False])]
self.right_fit = [np.array([False])]
self.y_eval = 700
self.midx = 640
self.ym_per_pix = 3.0/72.0 # meters per pixel in y dimension
self.xm_per_pix = 3.7/660.0 # meters per pixel in x dimension
self.curvature = 0
def update_fits(self, left_fit, right_fit):
"""Update the co-efficients of fitting polynomial
"""
if self.first_frame_processed:
left_error = ((self.left_fit[0] - left_fit[0]) ** 2).mean(axis=None)
right_error = ((self.right_fit[0] - right_fit[0]) ** 2).mean(axis=None)
if left_error < self.mse_tolerance:
self.left_fit = 0.75 * self.left_fit + 0.25 * left_fit
if right_error < self.mse_tolerance:
self.right_fit = 0.75 * self.right_fit + 0.25 * right_fit
else:
self.right_fit = right_fit
self.left_fit = left_fit
self.update_curvature(self.right_fit)
def update_curvature(self, fit):
"""Update radius of curvature
"""
y1 = (2*fit[0]*self.y_eval + fit[1])*self.xm_per_pix/self.ym_per_pix
y2 = 2*fit[0]*self.xm_per_pix/(self.ym_per_pix**2)
curvature = ((1 + y1*y1)**(1.5))/np.absolute(y2)
if self.first_frame_processed:
self.curvature = curvature
elif np.absolute(self.curvature - curvature) < 500:
self.curvature = 0.75*self.curvature + 0.25*(((1 + y1*y1)**(1.5))/np.absolute(y2))
def get_position_from_center(self):
x_left_pix = self.left_fit[0]*(self.y_eval**2) + self.left_fit[1]*self.y_eval + self.left_fit[2]
x_right_pix = self.right_fit[0]*(self.y_eval**2) + self.right_fit[1]*self.y_eval + self.right_fit[2]
return ((x_left_pix + x_right_pix)/2.0 - self.midx) * self.xm_per_pix
def abs_sobel_thresh(gray, orient='x', sobel_kernel=3, thresh=(0, 255)):
# Calculate directional gradient
# Apply threshold
# gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# Apply x or y gradient with the OpenCV Sobel() function
# and take the absolute value
if orient == 'x':
abs_sobel = np.absolute(cv2.Sobel(gray, cv2.CV_64F, 1, 0))
if orient == 'y':
abs_sobel = np.absolute(cv2.Sobel(gray, cv2.CV_64F, 0, 1))
scaled_sobel = np.uint8(255*abs_sobel/np.max(abs_sobel))
binary_output = np.zeros_like(scaled_sobel)
binary_output[(scaled_sobel >= thresh[0]) & (scaled_sobel <= thresh[1])] = 1
return binary_output
def mag_thresh(gray, sobel_kernel=3, mag_thresh=(0, 255)):
# Calculate gradient magnitude
# Apply threshold
# gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
sobelx = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=sobel_kernel)
sobely = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=sobel_kernel)
gradmag = np.sqrt(sobelx**2 + sobely**2)
scale_factor = np.max(gradmag)/255
gradmag = (gradmag/scale_factor).astype(np.uint8)
binary_output = np.zeros_like(gradmag)
binary_output[(gradmag >= mag_thresh[0]) & (gradmag <= mag_thresh[1])] = 1
return binary_output
def dir_threshold(gray, sobel_kernel=3, thresh=(0, np.pi/2)):
# Calculate gradient direction
# Apply threshold
# gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
sobelx = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=sobel_kernel)
sobely = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=sobel_kernel)
gradmag = np.arctan2(np.absolute(sobely),np.absolute(sobelx))
binary_output = np.zeros_like(gradmag)
binary_output[(gradmag >= thresh[0]) & (gradmag <= thresh[1])] = 1
return binary_output
def threshold(image):
hls = cv2.cvtColor(image, cv2.COLOR_RGB2HLS)
thresholds_yellow = (hls[:,:,0] < 21) & (hls[:,:,0] > 19 ) | (hls[:,:,1] > 215 )
color_select = np.copy(image) *0
color_select[thresholds_yellow] = [255,255,255]
img_gray = cv2.cvtColor(color_select, cv2.COLOR_BGR2GRAY)
ksize = 5 # Choose a larger odd number to smooth gradient measurements
gradx1 = abs_sobel_thresh(img_gray, orient='x', sobel_kernel=ksize, thresh=(70, 255))
grady1 = abs_sobel_thresh(img_gray, orient='y', sobel_kernel=ksize, thresh=(50, 255))
mag_binary1 = mag_thresh(img_gray, sobel_kernel=ksize, mag_thresh=(50, 255))
combined = np.zeros_like(gradx1)
combined[((gradx1 == 1) & (grady1 == 1)) | ((mag_binary1 == 1)) ] = 1
return combined
def pipeline(img):
# if (line is None or M is None or Minv is None or cameraMat is None or distCoeffs is None):
# raise NotImplementedError
img_size = (img.shape[1], img.shape[0])
width, height = img_size
img = cv2.undistort(np.copy(img), cameraMat, distCoeffs)
binary_warped = cv2.warpPerspective(threshold(img),M, (width, height))
out_img = np.dstack((binary_warped, binary_warped, binary_warped))*255
nwindows = 9
window_height = np.int(binary_warped.shape[0]/nwindows)
margin = 100
minpix = 50
if not line.first_frame_processed:
histogram = np.sum(binary_warped[binary_warped.shape[0]/2:,:], axis=0)
midpoint = np.int(histogram.shape[0]/2)
leftx_base = np.argmax(histogram[:midpoint])
rightx_base = np.argmax(histogram[midpoint:]) + midpoint
nonzero = binary_warped.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
leftx_current = leftx_base
rightx_current = rightx_base
# Create empty lists to receive left and right lane pixel indices
left_lane_inds = []
right_lane_inds = []
# Step through the windows one by one
for window in range(nwindows):
win_y_low = binary_warped.shape[0] - (window+1)*window_height
win_y_high = binary_warped.shape[0] - window*window_height
win_xleft_low = leftx_current - margin
win_xleft_high = leftx_current + margin
win_xright_low = rightx_current - margin
win_xright_high = rightx_current + margin
good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox < win_xleft_high)).nonzero()[0]
good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & (nonzerox >= win_xright_low) & (nonzerox < win_xright_high)).nonzero()[0]
left_lane_inds.append(good_left_inds)
right_lane_inds.append(good_right_inds)
if len(good_left_inds) > minpix:
leftx_current = np.int(np.mean(nonzerox[good_left_inds]))
if len(good_right_inds) > minpix:
rightx_current = np.int(np.mean(nonzerox[good_right_inds]))
# Concatenate the arrays of indices
left_lane_inds = np.concatenate(left_lane_inds)
right_lane_inds = np.concatenate(right_lane_inds)
# Extract left and right line pixel positions
leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
rightx = nonzerox[right_lane_inds]
righty = nonzeroy[right_lane_inds]
# Fit a second order polynomial to each
left_fit = np.polyfit(lefty, leftx, 2)
right_fit = np.polyfit(righty, rightx, 2)
line.update_fits(left_fit, right_fit)
line.first_frame_processed = True
else:
nonzero = binary_warped.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
left_fit = line.left_fit
right_fit = line.right_fit
left_lane_inds = ((nonzerox > (left_fit[0]*(nonzeroy**2) + left_fit[1]*nonzeroy + left_fit[2] - margin)) & (nonzerox < (left_fit[0]*(nonzeroy**2) + left_fit[1]*nonzeroy + left_fit[2] + margin)))
right_lane_inds = ((nonzerox > (right_fit[0]*(nonzeroy**2) + right_fit[1]*nonzeroy + right_fit[2] - margin)) & (nonzerox < (right_fit[0]*(nonzeroy**2) + right_fit[1]*nonzeroy + right_fit[2] + margin)))
# Again, extract left and right line pixel positions
leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
rightx = nonzerox[right_lane_inds]
righty = nonzeroy[right_lane_inds]
# Fit a second order polynomial to each
line.update_fits(np.polyfit(lefty, leftx, 2), np.polyfit(righty, rightx, 2))
left_fit = line.left_fit
right_fit = line.right_fit
ploty = np.linspace(0, binary_warped.shape[0]-1, binary_warped.shape[0] )
left_fitx = left_fit[0]*ploty**2 + left_fit[1]*ploty + left_fit[2]
right_fitx = right_fit[0]*ploty**2 + right_fit[1]*ploty + right_fit[2]
warp_zero = np.zeros_like(binary_warped).astype(np.uint8)
color_warp = np.dstack((warp_zero, warp_zero, warp_zero))
# Recast the x and y points into usable format for cv2.fillPoly()
pts_left = np.array([np.transpose(np.vstack([left_fitx, ploty]))])
pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx, ploty])))])
pts = np.hstack((pts_left, pts_right))
# Draw the lane onto the warped blank image
cv2.fillPoly(color_warp, np.int_([pts]), (0,255, 0))
newwarp = cv2.warpPerspective(color_warp, Minv, (img.shape[1], img.shape[0]))
# Combine the result with the original image
result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)
## Add Radius of Curvature
cv2.putText(result,'Radius of Curvature: %.2fm' % line.curvature,(20,40), cv2.FONT_HERSHEY_SIMPLEX, 1,(255,255,255),2)
## Add distance from center
position_from_center = line.get_position_from_center()
if position_from_center < 0:
text = 'left'
else:
text = 'right'
cv2.putText(result,'Distance From Center: %.2fm %s' % (np.absolute(position_from_center), text),(20,80), cv2.FONT_HERSHEY_SIMPLEX, 1,(255,255,255),2)
return result
dist_pickle = pickle.load( open( "camera_cal/wide_dist_pickle.p", "rb" ) )
objpoints = dist_pickle["objpoints"]
imgpoints = dist_pickle["imgpoints"]
mtx = dist_pickle["mtx"]
dist = dist_pickle["dist"]
img = cv2.imread('camera_cal/calibration5.jpg')
img_size = (img.shape[1], img.shape[0])
#ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, img_size,None,None)
images = glob.glob('test_images/*.jpg')
nCount = 0
for idx, fname in enumerate(images):
image = mpimg.imread(fname)
img1 = pipeline(image)
plt.figure(nCount)
f, (ax1, ax2) = plt.subplots(1, 2, figsize=(20,10))
ax1.imshow(image)
# ax1.imshow(img)
ax1.set_title('Original Image', fontsize=30)
ax2.imshow(img1)
ax2.set_title('Binary Image', fontsize=30)
nCount+=1 | 8,646 | 1,329 | 138 |
54d91d9ffe932c56641df845d5520675cc8f9b5a | 500 | py | Python | vis/latex_tables.py | dhpollack/mgc | ed1b8fb512f0b42cb8121a2809def65f232dc154 | [
"MIT"
] | null | null | null | vis/latex_tables.py | dhpollack/mgc | ed1b8fb512f0b42cb8121a2809def65f232dc154 | [
"MIT"
] | null | null | null | vis/latex_tables.py | dhpollack/mgc | ed1b8fb512f0b42cb8121a2809def65f232dc154 | [
"MIT"
] | null | null | null | import os
from tabulate import tabulate
OUTPATH = "output/latex"
a = [["Dataset Name", "# of Samples", "Total Length"], ["Balanced", "3,146", "8.74 hours"], ["Eval", "2,574", "7.15 hours"], ["Unbalanced", "224,155", "622.65 hours"], ["Unbalanced - Subset", "19,042", "52.89 hours"]]
if not os.path.exists(OUTPATH):
try:
os.makedirs(OUTPATH)
except:
raise
with open(os.path.join(OUTPATH, "audioset.tex"), "w") as f:
f.write(tabulate(a, tablefmt="latex", floatfmt=".2f"))
| 35.714286 | 217 | 0.618 | import os
from tabulate import tabulate
OUTPATH = "output/latex"
a = [["Dataset Name", "# of Samples", "Total Length"], ["Balanced", "3,146", "8.74 hours"], ["Eval", "2,574", "7.15 hours"], ["Unbalanced", "224,155", "622.65 hours"], ["Unbalanced - Subset", "19,042", "52.89 hours"]]
if not os.path.exists(OUTPATH):
try:
os.makedirs(OUTPATH)
except:
raise
with open(os.path.join(OUTPATH, "audioset.tex"), "w") as f:
f.write(tabulate(a, tablefmt="latex", floatfmt=".2f"))
| 0 | 0 | 0 |
e6c0bba16d38f75f94d0fd5e47e63b18ed184940 | 29,409 | py | Python | modisco/hit_scoring/densityadapted_hitscoring.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | modisco/hit_scoring/densityadapted_hitscoring.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | modisco/hit_scoring/densityadapted_hitscoring.py | Bluedragon137/tfmodisco | d7c56b21e1bb58b07695ef3035f173b7d1a039e6 | [
"MIT"
] | null | null | null | from __future__ import division, print_function
from collections import defaultdict, OrderedDict, namedtuple
import numpy as np
import time
import itertools
from .. import core
from .. import affinitymat
from .. import util
from .. import cluster
from .. import aggregator
from .. import seqlet_embedding
from .. import affinitymat
from .. import coordproducers
from .. import tfmodisco_workflow
from joblib import Parallel, delayed
#patterns should already be subsampled
MotifMatch = namedtuple("MotifMatch",
["patternidx", "patternidx_rank", "exampleidx",
"start", "end", "is_revcomp",
"seqlet_orig_start", "seqlet_orig_end", "seqlet_orig_revcomp",
"aggregate_sim",
"mod_delta", "mod_precision", "mod_percentile",
"fann_perclasssum_perc", "fann_perclassavg_perc"])
MotifMatchWithImportance = namedtuple("MotifMatchWithImportance",
["patternidx", "patternidx_rank", "total_importance", "exampleidx",
"start", "end", "is_revcomp",
"seqlet_orig_start", "seqlet_orig_end", "seqlet_orig_revcomp",
"aggregate_sim",
"mod_delta", "mod_precision", "mod_percentile",
"fann_perclasssum_perc", "fann_perclassavg_perc"])
| 45.666149 | 81 | 0.622292 | from __future__ import division, print_function
from collections import defaultdict, OrderedDict, namedtuple
import numpy as np
import time
import itertools
from .. import core
from .. import affinitymat
from .. import util
from .. import cluster
from .. import aggregator
from .. import seqlet_embedding
from .. import affinitymat
from .. import coordproducers
from .. import tfmodisco_workflow
from joblib import Parallel, delayed
class MakeHitScorer(object):
def __init__(self, patterns, target_seqlet_size,
bg_freq,
task_names_and_signs,
n_cores,
additional_trimandsubcluster_kwargs={},
additional_seqletscorer_kwargs={}):
self.target_seqlet_size = target_seqlet_size
onehot_track_name = "sequence" #the default
task_names = [x[0] for x in task_names_and_signs]
self.task_names = task_names
self.task_names_and_signs = task_names_and_signs
print("Getting trimmed patterns, subclustering them")
self.trimmed_subclustered_patterns = trim_and_subcluster_patterns(
patterns=patterns, window_size=target_seqlet_size,
onehot_track_name=onehot_track_name,
task_names=task_names, bg_freq=bg_freq,
n_cores=n_cores, **additional_trimandsubcluster_kwargs)
print("Preparing seqlet scorer")
self.seqlet_scorer = prepare_seqlet_scorer(
patterns=self.trimmed_subclustered_patterns,
onehot_track_name=onehot_track_name,
task_names_and_signs=task_names_and_signs,
n_cores=n_cores, **additional_seqletscorer_kwargs)
self.tnt_results = None
def get_coordproducer_score_track(self, contrib_scores):
combined_contribs = np.zeros_like(contrib_scores[self.task_names[0]])
for task_name,sign in self.task_names_and_signs:
combined_contribs += contrib_scores[task_name]*sign
return np.sum(combined_contribs, axis=-1)
def set_coordproducer(self, contrib_scores,
core_sliding_window_size, target_fdr,
min_passing_windows_frac,
max_passing_windows_frac,
null_track=coordproducers.LaplaceNullDist(num_to_samp=10000),
**additional_coordproducer_kwargs):
assert (self.target_seqlet_size-core_sliding_window_size)%2==0,\
("Please provide a core_sliding_window_size that is an"
+" even number smaller than target_seqlet_size")
self.coordproducer = coordproducers.VariableWindowAroundChunks(
sliding=[core_sliding_window_size],
flank=int((self.target_seqlet_size-core_sliding_window_size)/2.0),
suppress=core_sliding_window_size,
target_fdr=target_fdr,
min_passing_windows_frac=min_passing_windows_frac,
max_passing_windows_frac=max_passing_windows_frac,
**additional_coordproducer_kwargs
)
coordproducer_results = self.coordproducer(
score_track=self.get_coordproducer_score_track(
contrib_scores=contrib_scores),
null_track=null_track)
self.tnt_results = coordproducer_results.tnt_results
return self
def __call__(self, contrib_scores, hypothetical_contribs, one_hot,
hits_to_return_per_seqlet=1,
min_mod_precision=0,
revcomp=True, coordproducer_settings=None):
if (coordproducer_settings is None):
if (self.tnt_results is None):
raise RuntimeError("Please set a coordproducer or provide"
+" coordproducer settings")
else:
self.set_coordproducer(contrib_scores=contrib_scores,
**coordproducer_settings)
score_track = self.get_coordproducer_score_track(
contrib_scores=contrib_scores)
coords = self.coordproducer(
score_track=score_track, tnt_results=self.tnt_results,
null_track=None).coords
track_set = tfmodisco_workflow.workflow.prep_track_set(
task_names=self.task_names,
contrib_scores=contrib_scores,
hypothetical_contribs=hypothetical_contribs,
one_hot=one_hot,
custom_perpos_contribs=None,
revcomp=revcomp, other_tracks=[])
seqlets = track_set.create_seqlets(coords)
(all_seqlet_hits, patternidx_to_matches, exampleidx_to_matches) =\
self.seqlet_scorer(seqlets=seqlets,
hits_to_return_per_seqlet=hits_to_return_per_seqlet,
min_mod_precision=min_mod_precision)
exampleidx_to_matcheswithimportance = defaultdict(list)
patternidx_to_matcheswithimportance = defaultdict(list)
for exampleidx in exampleidx_to_matches:
for motifmatch in sorted(exampleidx_to_matches[exampleidx],
key=lambda x: x.start):
total_importance = np.sum(score_track[exampleidx][
max(motifmatch.start,0):motifmatch.end])
#tedious but i want to keep them tuples
motifmatch_with_importance = MotifMatchWithImportance(
patternidx=motifmatch.patternidx,
patternidx_rank=motifmatch.patternidx_rank,
total_importance=total_importance,
exampleidx=motifmatch.exampleidx,
start=motifmatch.start, end=motifmatch.end,
seqlet_orig_start=motifmatch.seqlet_orig_start,
seqlet_orig_end=motifmatch.seqlet_orig_end,
seqlet_orig_revcomp=motifmatch.seqlet_orig_revcomp,
is_revcomp=motifmatch.is_revcomp,
aggregate_sim=motifmatch.aggregate_sim,
mod_delta=motifmatch.mod_delta,
mod_precision=motifmatch.mod_precision,
mod_percentile=motifmatch.mod_percentile,
fann_perclasssum_perc=motifmatch.fann_perclasssum_perc,
fann_perclassavg_perc=motifmatch.fann_perclassavg_perc)
exampleidx_to_matcheswithimportance[exampleidx].append(
motifmatch_with_importance)
patternidx_to_matcheswithimportance[
motifmatch.patternidx].append(motifmatch_with_importance)
return (exampleidx_to_matcheswithimportance,
patternidx_to_matcheswithimportance)
def trim_and_subcluster_patterns(patterns, window_size, onehot_track_name,
task_names, bg_freq, n_cores,
subpattern_perplexity=50, verbose=True):
if (verbose):
print("Trimming the patterns to the target length")
patterns = util.trim_patterns_by_ic(
patterns=patterns, window_size=window_size,
onehot_track_name=onehot_track_name,
bg_freq=bg_freq)
if (verbose):
print("Apply subclustering")
track_names = ([x+"_contrib_scores" for x in task_names]
+[x+"_hypothetical_contribs" for x in task_names])
util.apply_subclustering_to_patterns(
patterns=patterns,
track_names=track_names,
n_jobs=n_cores, perplexity=subpattern_perplexity, verbose=True)
return patterns
def prepare_seqlet_scorer(patterns,
onehot_track_name,
task_names_and_signs,
n_cores,
max_seqlets_per_submotif=100,
min_overlap_size=10,
crosspattern_perplexity=10,
coarsegrained_topn=500,
verbose=True):
assert len(set([len(x) for x in patterns]))==1, (
"patterns should be of equal lengths - are: "
+str(set([len(x) for x in patterns])))
target_seqlet_size = len(patterns[0])
if (verbose):
print("Pattern length (and hence target seqlet size) is "
+str(target_seqlet_size))
assert min_overlap_size < target_seqlet_size, (
"min_overlap_size must be < target_seqlet_size; are "
+str(min_overlap_size)+" and "+str(target_seqlet_size))
subpatterns = []
subpattern_to_superpattern_mapping = {}
subpattern_count = 0
for i,pattern in enumerate(patterns):
for subpattern in pattern.subcluster_to_subpattern.values():
if (len(subpattern.seqlets) > max_seqlets_per_submotif):
if (verbose):
print("Subsampling subpattern "+str(subpattern_count))
subpattern = util.subsample_pattern(
pattern=subpattern,
num_to_subsample=max_seqlets_per_submotif)
subpatterns.append(subpattern)
subpattern_to_superpattern_mapping[subpattern_count] = i
subpattern_count += 1
if (verbose):
print("Prepare seqlet scorer")
track_names = ([x[0]+"_contrib_scores" for x in task_names_and_signs]
+[x[0]+"_hypothetical_contribs" for x in task_names_and_signs])
seqlet_scorer = CoreDensityAdaptedSeqletScorer(
patterns=subpatterns,
coarsegrained_seqlet_embedder=(
seqlet_embedding.advanced_gapped_kmer
.AdvancedGappedKmerEmbedderFactory()(
onehot_track_name=onehot_track_name,
toscore_track_names_and_signs=[
(x[0]+"_hypothetical_contribs", x[1])
for x in task_names_and_signs],
n_jobs=n_cores)),
coarsegrained_topn=coarsegrained_topn, #set to 500 for real seqs
affmat_from_seqlets_with_nn_pairs=
affinitymat.core.AffmatFromSeqletsWithNNpairs(
pattern_comparison_settings=
affinitymat.core.PatternComparisonSettings(
track_names=track_names,
#L1 norm is important for contin jaccard sim
track_transformer=affinitymat.L1Normalizer(),
min_overlap=float(min_overlap_size/target_seqlet_size)),
sim_metric_on_nn_pairs=\
affinitymat.core.ParallelCpuCrossMetricOnNNpairs(
n_cores=n_cores,
cross_metric_single_region=
affinitymat.core.CrossContinJaccardSingleRegion())),
aff_to_dist_mat=
affinitymat.transformers.AffToDistViaInvLogistic(),
perplexity=crosspattern_perplexity,
n_cores=n_cores,
pattern_aligner=core.CrossContinJaccardPatternAligner(
pattern_comparison_settings=
affinitymat.core.PatternComparisonSettings(
track_names=track_names,
track_transformer=affinitymat.L1Normalizer(),
min_overlap=float(min_overlap_size)/target_seqlet_size)),
pattern_to_superpattern_mapping=subpattern_to_superpattern_mapping,
superpatterns=patterns,
verbose=verbose
)
return seqlet_scorer
class CoreDensityAdaptedSeqletScorer(object):
#patterns should already be subsampled
def __init__(self, patterns,
coarsegrained_seqlet_embedder,
coarsegrained_topn,
affmat_from_seqlets_with_nn_pairs,
aff_to_dist_mat,
perplexity,
n_cores,
pattern_aligner,
pattern_to_superpattern_mapping=None,
superpatterns=None,
leiden_numseedstotry=50,
verbose=True):
self.patterns = patterns
if (pattern_to_superpattern_mapping is None):
pattern_to_superpattern_mapping = dict([
(i,i) for i in range(len(patterns))])
self.class_patterns = patterns
else:
self.class_patterns = superpatterns
self.pattern_to_superpattern_mapping = pattern_to_superpattern_mapping
self.coarsegrained_seqlet_embedder = coarsegrained_seqlet_embedder
self.coarsegrained_topn = coarsegrained_topn
self.affmat_from_seqlets_with_nn_pairs =\
affmat_from_seqlets_with_nn_pairs
self.aff_to_dist_mat = aff_to_dist_mat
self.perplexity = perplexity
self.n_cores = n_cores
self.pattern_aligner = pattern_aligner
self.leiden_numseedstotry = leiden_numseedstotry
self.verbose = verbose
self.build()
def get_classwise_fine_affmat_nn_sumavg(self,
fine_affmat_nn, seqlet_neighbors):
num_classes = max(self.motifmemberships)+1
#(not used in the density-adapted scoring) for each class, compute
# the total fine-grained similarity for each class in the topk
# nearest neighbors. Will be used to instantiate a class-wise
# precision scorer
fine_affmat_nn_perclassum = np.zeros(
(len(fine_affmat_nn), num_classes))
fine_affmat_nn_perclassavg = np.zeros(
(len(fine_affmat_nn), num_classes))
for i in range(len(fine_affmat_nn)):
for classidx in range(num_classes):
class_entries = [fine_affmat_nn[i][j] for
j in range(len(fine_affmat_nn[i]))
if self.motifmemberships[seqlet_neighbors[i][j]]==classidx]
if (len(class_entries) > 0):
fine_affmat_nn_perclassum[i][classidx] =\
np.sum(class_entries)
fine_affmat_nn_perclassavg[i][classidx] =\
np.mean(class_entries)
return (fine_affmat_nn_perclassum, fine_affmat_nn_perclassavg)
def build(self):
#for all the seqlets in the patterns, use the
# coarsegrained_seqlet_embedder to compute the embeddings for fwd and
# rev sequences. *store it*
motifseqlets = [seqlet for pattern in self.patterns
for seqlet in pattern.seqlets]
self.motifseqlets = motifseqlets
motifmemberships = np.array([
self.pattern_to_superpattern_mapping[i]
for i in range(len(self.patterns))
for j in self.patterns[i].seqlets])
self.motifmemberships = motifmemberships
assert (max(self.motifmemberships)+1) == len(self.class_patterns),\
(max(self.motifmemberships), len(self.class_patterns))
if (self.verbose):
print("Computing coarse-grained embeddings")
orig_embedding_fwd, orig_embedding_rev =\
self.coarsegrained_seqlet_embedder(seqlets=motifseqlets)
self.orig_embedding_fwd = orig_embedding_fwd
self.orig_embedding_rev = orig_embedding_rev
if (self.verbose):
print("Computing coarse top k nn via cosine sim")
#then find the topk nearest neighbors by cosine sim,
coarse_affmat_nn, seqlet_neighbors =\
affinitymat.core.SparseNumpyCosineSimFromFwdAndRevOneDVecs(
n_neighbors=self.coarsegrained_topn, verbose=self.verbose)(
fwd_vecs=self.orig_embedding_fwd,
rev_vecs=self.orig_embedding_rev,
initclusters=None)
if (self.verbose):
print("Computing fine-grained sim for top k")
#and finegrained sims for the topk nearest neighbors.
fine_affmat_nn = self.affmat_from_seqlets_with_nn_pairs(
seqlets=motifseqlets,
filter_seqlets=None,
seqlet_neighbors=seqlet_neighbors,
return_sparse=True)
#fann = fine affmat nn. This is not used for density-adaptive
# scoring; rather it's a way to get a sense of within-motif
# similarity WITHOUT the density-adaptation step
(fann_perclassum, fann_perclassavg) = (
self.get_classwise_fine_affmat_nn_sumavg(
fine_affmat_nn=fine_affmat_nn,
seqlet_neighbors=seqlet_neighbors))
self.fann_perclasssum_precscorer = util.ClasswisePrecisionScorer(
true_classes=motifmemberships,
class_membership_scores=fann_perclassum)
self.fann_perclassavg_precscorer = util.ClasswisePrecisionScorer(
true_classes=motifmemberships,
class_membership_scores=fann_perclassavg)
if (self.verbose):
print("Mapping affinity to distmat")
#Map aff to dist
distmat_nn = self.aff_to_dist_mat(affinity_mat=fine_affmat_nn)
if (self.verbose):
print("Symmetrizing nearest neighbors")
#Note: the fine-grained similarity metric isn't actually symmetric
# because a different input will get padded with zeros depending
# on which seqlets are specified as the filters and which seqlets
# are specified as the 'thing to scan'. So explicit symmetrization
# is worthwhile
sym_seqlet_neighbors, sym_distmat_nn = util.symmetrize_nn_distmat(
distmat_nn=distmat_nn, nn=seqlet_neighbors,
average_with_transpose=True)
del distmat_nn
del seqlet_neighbors
if (self.verbose):
print("Computing betas for density adaptation")
#Compute beta values for the density adaptation. *store it*
betas_and_ps = Parallel(n_jobs=self.n_cores)(
delayed(util.binary_search_perplexity)(
self.perplexity, distances)
for distances in sym_distmat_nn)
self.motifseqlet_betas = np.array([x[0] for x in betas_and_ps])
del betas_and_ps
if (self.verbose):
print("Computing normalizing denominators")
#also compute the normalization factor needed to get probs to sum to 1
#note: sticking to lists here because different rows of
# sym_distmat_nn may have different lengths after adding in
# the symmetric pairs
densadapted_affmat_nn_unnorm = [np.exp(-np.array(distmat_row)/beta)
for distmat_row, beta in
zip(sym_distmat_nn, self.motifseqlet_betas)]
normfactors = np.array([max(np.sum(x),1e-8) for x in
densadapted_affmat_nn_unnorm])
self.motifseqlet_normfactors = normfactors
del normfactors
if (self.verbose):
print("Computing density-adapted nn affmat")
#Do density-adaptation using average of self-Beta and other-Beta.
sym_densadapted_affmat_nn = self.densadapt_wrt_motifseqlets(
new_rows_distmat_nn=sym_distmat_nn,
new_rows_nn=sym_seqlet_neighbors,
new_rows_betas=self.motifseqlet_betas,
new_rows_normfactors=self.motifseqlet_normfactors)
#Make csr matrix
csr_sym_density_adapted_affmat = util.coo_matrix_from_neighborsformat(
entries=sym_densadapted_affmat_nn,
neighbors=sym_seqlet_neighbors,
ncols=len(sym_densadapted_affmat_nn)).tocsr()
#Run Leiden to get clusters based on sym_densadapted_affmat_nn
clusterer = cluster.core.LeidenClusterParallel(
n_jobs=self.n_cores,
affmat_transformer=None,
numseedstotry=self.leiden_numseedstotry,
n_leiden_iterations=-1,
refine=True,
verbose=self.verbose)
recluster_idxs = clusterer(
orig_affinity_mat=csr_sym_density_adapted_affmat,
initclusters=motifmemberships).cluster_indices
if (self.verbose):
print("Number of reclustered idxs:", len(set(recluster_idxs)))
oldandreclust_pairs = set(zip(recluster_idxs, motifmemberships))
#sanity check that 'recluster_idxs' are a stict subset of the original
# motif memberships
print(oldandreclust_pairs)
assert len(oldandreclust_pairs)==len(set(recluster_idxs))
reclusteridxs_to_motifidx = dict([
(pair[0], pair[1])
for pair in oldandreclust_pairs])
assert np.max(np.abs(np.array([reclusteridxs_to_motifidx[x]
for x in recluster_idxs])-motifmemberships))==0
if (self.verbose):
print("Preparing modularity scorer")
#Set up machinery needed to score modularity delta.
self.modularity_scorer = util.ModularityScorer(
clusters=recluster_idxs, nn=sym_seqlet_neighbors,
affmat_nn=sym_densadapted_affmat_nn,
cluster_to_supercluster_mapping=reclusteridxs_to_motifidx
)
def densadapt_wrt_motifseqlets(self, new_rows_distmat_nn, new_rows_nn,
new_rows_betas, new_rows_normfactors):
new_rows_densadapted_affmat_nn = []
for i in range(len(new_rows_distmat_nn)):
densadapted_row = []
for j,distance in zip(new_rows_nn[i], new_rows_distmat_nn[i]):
densadapted_row.append(np.sqrt(
(np.exp(-distance/new_rows_betas[i])/new_rows_normfactors[i])
*(np.exp(-distance/self.motifseqlet_betas[j])/
self.motifseqlet_normfactors[j])))
new_rows_densadapted_affmat_nn.append(densadapted_row)
return new_rows_densadapted_affmat_nn
def __call__(self, seqlets, hits_to_return_per_seqlet=1,
min_mod_precision=0):
embedding_fwd, _ =\
self.coarsegrained_seqlet_embedder(seqlets=seqlets,
only_compute_fwd=True)
#then find the topk nearest neighbors by cosine sim
coarse_affmat_nn, seqlet_neighbors =\
affinitymat.core.SparseNumpyCosineSimFromFwdAndRevOneDVecs(
n_neighbors=self.coarsegrained_topn, verbose=self.verbose)(
fwd_vecs=self.orig_embedding_fwd,
rev_vecs=self.orig_embedding_rev,
initclusters=None,
fwd_vecs2=embedding_fwd)
#and finegrained sims for the topk nearest neighbors.
fine_affmat_nn = self.affmat_from_seqlets_with_nn_pairs(
seqlets=seqlets,
filter_seqlets=self.motifseqlets,
seqlet_neighbors=seqlet_neighbors,
return_sparse=True)
(fann_perclassum, fann_perclassavg) = (
self.get_classwise_fine_affmat_nn_sumavg(
fine_affmat_nn=fine_affmat_nn,
seqlet_neighbors=seqlet_neighbors))
#Map aff to dist
distmat_nn = self.aff_to_dist_mat(affinity_mat=fine_affmat_nn)
betas_and_ps = Parallel(n_jobs=self.n_cores)(
delayed(util.binary_search_perplexity)(
self.perplexity, distances)
for distances in distmat_nn)
betas = np.array([x[0] for x in betas_and_ps])
del betas_and_ps
#also compute the normalization factor needed to get probs to sum to 1
#note: sticking to lists here because in the future I could
# have an implementation where different rows of
# distmat_nn may have different lengths (e.g. when considering
# a set of initial cluster assigments produced by another method)
densadapted_affmat_nn_unnorm = [np.exp(-np.array(distmat)/beta)
for distmat, beta in
zip(distmat_nn, betas)]
normfactors = np.array([max(np.sum(x),1e-8)
for x in densadapted_affmat_nn_unnorm])
new_rows_densadapted_affmat_nn = self.densadapt_wrt_motifseqlets(
new_rows_distmat_nn=distmat_nn,
new_rows_nn=seqlet_neighbors,
new_rows_betas=betas,
new_rows_normfactors=normfactors)
argmax_classes, mod_percentiles, mod_precisions, mod_deltas =\
self.modularity_scorer(
new_rows_affmat_nn=new_rows_densadapted_affmat_nn,
new_rows_nn=seqlet_neighbors,
hits_to_return_per_input=hits_to_return_per_seqlet)
fann_perclasssum_perc = (self.fann_perclasssum_precscorer.
score_percentile(score=
fann_perclassum[np.arange(len(argmax_classes))[:,None],
argmax_classes].ravel(),
top_class=argmax_classes.ravel()).reshape(
argmax_classes.shape))
fann_perclassavg_perc = (self.fann_perclassavg_precscorer.
score_percentile(score=
fann_perclassavg[np.arange(len(argmax_classes))[:,None],
argmax_classes].ravel(),
top_class=argmax_classes.ravel()).reshape(
argmax_classes.shape))
all_seqlet_hits = []
for i in range(len(argmax_classes)):
this_seqlet_hits = []
for class_rank,class_idx in enumerate(argmax_classes[i]):
if (mod_precisions[i][class_rank] > min_mod_precision):
seqlet = seqlets[i]
mappedtomotif = self.class_patterns[class_idx]
(alignment, rc, sim) = self.pattern_aligner(
parent_pattern=seqlet, child_pattern=mappedtomotif)
motif_hit = MotifMatch(
patternidx=class_idx,
patternidx_rank=class_rank,
exampleidx=seqlet.coor.example_idx,
start=seqlet.coor.start+alignment
if seqlet.coor.is_revcomp==False
else (seqlet.coor.end-alignment)-len(mappedtomotif),
end=seqlet.coor.start+alignment+len(mappedtomotif)
if seqlet.coor.is_revcomp==False
else (seqlet.coor.end-alignment),
is_revcomp=seqlet.coor.is_revcomp if rc==False
else (seqlet.coor.is_revcomp==False),
seqlet_orig_start=seqlet.coor.start,
seqlet_orig_end=seqlet.coor.end,
seqlet_orig_revcomp=seqlet.coor.is_revcomp,
aggregate_sim=sim,
mod_delta=mod_deltas[i][class_rank],
mod_precision=mod_precisions[i][class_rank],
mod_percentile=mod_percentiles[i][class_rank],
fann_perclasssum_perc=fann_perclasssum_perc[i][class_rank],
fann_perclassavg_perc=fann_perclassavg_perc[i][class_rank])
this_seqlet_hits.append(motif_hit)
all_seqlet_hits.append(this_seqlet_hits)
#organize by example/patternidx
#Remove duplicate motif matches that can occur due to overlapping seqlets
unique_motifmatches = dict()
duplicates_found = 0
for seqlet_hits in all_seqlet_hits:
for motifmatch in seqlet_hits:
match_identifier = (motifmatch.patternidx, motifmatch.exampleidx,
motifmatch.start, motifmatch.end,
motifmatch.is_revcomp)
if match_identifier not in unique_motifmatches:
unique_motifmatches[match_identifier] = motifmatch
else:
if (motifmatch.mod_percentile >
unique_motifmatches[match_identifier].mod_percentile):
unique_motifmatches[match_identifier] = motifmatch
duplicates_found += 1
print("Removed",duplicates_found,"duplicates")
patternidx_to_matches = defaultdict(list)
exampleidx_to_matches = defaultdict(list)
for motifmatch in unique_motifmatches.values():
patternidx_to_matches[motifmatch.patternidx].append(motifmatch)
exampleidx_to_matches[motifmatch.exampleidx].append(motifmatch)
return (all_seqlet_hits, patternidx_to_matches, exampleidx_to_matches)
MotifMatch = namedtuple("MotifMatch",
["patternidx", "patternidx_rank", "exampleidx",
"start", "end", "is_revcomp",
"seqlet_orig_start", "seqlet_orig_end", "seqlet_orig_revcomp",
"aggregate_sim",
"mod_delta", "mod_precision", "mod_percentile",
"fann_perclasssum_perc", "fann_perclassavg_perc"])
MotifMatchWithImportance = namedtuple("MotifMatchWithImportance",
["patternidx", "patternidx_rank", "total_importance", "exampleidx",
"start", "end", "is_revcomp",
"seqlet_orig_start", "seqlet_orig_end", "seqlet_orig_revcomp",
"aggregate_sim",
"mod_delta", "mod_precision", "mod_percentile",
"fann_perclasssum_perc", "fann_perclassavg_perc"])
| 27,855 | 31 | 339 |
273c03d48184ab1f7f82a588a4e85ab8215354df | 460 | py | Python | Projetos Python/pythonexercicios/des113.py | Moyses-Nunes/Projetos-Python | 71ae170fb0d7be6afea18608bca630b57b9f0dff | [
"MIT"
] | null | null | null | Projetos Python/pythonexercicios/des113.py | Moyses-Nunes/Projetos-Python | 71ae170fb0d7be6afea18608bca630b57b9f0dff | [
"MIT"
] | null | null | null | Projetos Python/pythonexercicios/des113.py | Moyses-Nunes/Projetos-Python | 71ae170fb0d7be6afea18608bca630b57b9f0dff | [
"MIT"
] | null | null | null |
num = leiaInt('Digite um valor: ')
print(f'Você digitou o número {num}')
| 21.904762 | 76 | 0.554348 | def leiaInt(msg):
while True:
try:
n = int(input(msg))
except (ValueError, TypeError):
print('\033[31mERRO: Digite um número inteiro válido.\033[m')
continue
except KeyboardInterrupt:
print('\n\033[31mERRO: O usuário interrompeu o programa.\033[m')
return 0
else:
return n
num = leiaInt('Digite um valor: ')
print(f'Você digitou o número {num}')
| 362 | 0 | 22 |
df9d10b687bbbe0ed587c3c1a23fb3e7ada4e76a | 427 | py | Python | Zarooni/gopro/src/openfromsocket.py | AV-Lab/SNAIL | c07ff9a9a8ca1e171c83d10011d037cf6844cfc7 | [
"MIT"
] | 1 | 2021-11-21T12:54:12.000Z | 2021-11-21T12:54:12.000Z | Zarooni/gopro/src/openfromsocket.py | majid-khonji/SNAIL | c07ff9a9a8ca1e171c83d10011d037cf6844cfc7 | [
"MIT"
] | 3 | 2021-09-15T21:19:23.000Z | 2021-12-19T20:34:12.000Z | Zarooni/gopro/src/openfromsocket.py | majid-khonji/SNAIL | c07ff9a9a8ca1e171c83d10011d037cf6844cfc7 | [
"MIT"
] | 1 | 2021-11-21T12:56:47.000Z | 2021-11-21T12:56:47.000Z | #!/usr/bin/env python3
# import rospy
import socket
import cv2
import numpy as np
import time
cap = cv2.VideoCapture("udp://10.5.5.9:10000", cv2.CAP_FFMPEG)
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
last_message = time.time()
while True:
# Get an image
ret, img = cap.read()
# Do something with img
cv2.imshow("My Window", img)
cv2.waitKey(1)
cv2.destroyWindow(window_name)
cap.release()
| 18.565217 | 62 | 0.702576 | #!/usr/bin/env python3
# import rospy
import socket
import cv2
import numpy as np
import time
cap = cv2.VideoCapture("udp://10.5.5.9:10000", cv2.CAP_FFMPEG)
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
last_message = time.time()
while True:
# Get an image
ret, img = cap.read()
# Do something with img
cv2.imshow("My Window", img)
cv2.waitKey(1)
cv2.destroyWindow(window_name)
cap.release()
| 0 | 0 | 0 |
a2135f0efcd8f453d9288597d6319a5e4b435fe5 | 1,219 | py | Python | tf_autoaugment/transforms/rotate.py | sebastian-sz/tf-autoaugment | 6807f5095df1b842a8a17265dc2361165f5d1658 | [
"MIT"
] | null | null | null | tf_autoaugment/transforms/rotate.py | sebastian-sz/tf-autoaugment | 6807f5095df1b842a8a17265dc2361165f5d1658 | [
"MIT"
] | null | null | null | tf_autoaugment/transforms/rotate.py | sebastian-sz/tf-autoaugment | 6807f5095df1b842a8a17265dc2361165f5d1658 | [
"MIT"
] | null | null | null | """Code for Rotate Transform."""
import tensorflow as tf
import tensorflow_addons as tfa
from tf_autoaugment.transforms.base_transform import BaseTransform
class Rotate(BaseTransform):
"""Transform for Rotate op."""
def __call__(self, images: tf.Tensor, level: tf.Tensor) -> tf.Tensor:
"""Run rotate on image batch."""
angles = self._parse_level(level)
return tfa.image.rotate(
images=images, angles=angles, fill_value=self.fill_value
)
def _debug_run(self, images: tf.Tensor, level: tf.Tensor) -> tf.Tensor:
"""Only for testing. Call transform without self._randomly_negate_tensor."""
angles = tf.cast((level / self._MAX_LEVEL) * 30.0, tf.float32)
return tfa.image.rotate(
images=images, angles=angles, fill_value=self.fill_value
)
| 35.852941 | 84 | 0.673503 | """Code for Rotate Transform."""
import tensorflow as tf
import tensorflow_addons as tfa
from tf_autoaugment.transforms.base_transform import BaseTransform
class Rotate(BaseTransform):
"""Transform for Rotate op."""
def __init__(self, fill_value=128, tf_function: bool = False):
super().__init__(tf_function=tf_function)
self.fill_value = fill_value
def __call__(self, images: tf.Tensor, level: tf.Tensor) -> tf.Tensor:
"""Run rotate on image batch."""
angles = self._parse_level(level)
return tfa.image.rotate(
images=images, angles=angles, fill_value=self.fill_value
)
def _parse_level(self, level: tf.Tensor) -> tf.Tensor:
level = (level / self._MAX_LEVEL) * 30.0
level = self._randomly_negate_tensor(tf.convert_to_tensor(level))
return tf.cast(level, tf.float32)
def _debug_run(self, images: tf.Tensor, level: tf.Tensor) -> tf.Tensor:
"""Only for testing. Call transform without self._randomly_negate_tensor."""
angles = tf.cast((level / self._MAX_LEVEL) * 30.0, tf.float32)
return tfa.image.rotate(
images=images, angles=angles, fill_value=self.fill_value
)
| 327 | 0 | 54 |
5847f016de6efae3149713498e64bdc415dafa59 | 572 | py | Python | recipe_recommender/tests/test_scraping_and_processing.py | lisamnash/recipe_recommender | f02ea57c36b39f4965625d90f6d6f73a4131b449 | [
"BSD-3-Clause"
] | 1 | 2019-01-07T19:56:40.000Z | 2019-01-07T19:56:40.000Z | recipe_recommender/tests/test_scraping_and_processing.py | lisamnash/recipe_recommender | f02ea57c36b39f4965625d90f6d6f73a4131b449 | [
"BSD-3-Clause"
] | 7 | 2018-12-28T21:22:15.000Z | 2019-01-08T22:07:26.000Z | recipe_recommender/tests/test_scraping_and_processing.py | lisamnash/recipe_recommender | f02ea57c36b39f4965625d90f6d6f73a4131b449 | [
"BSD-3-Clause"
] | 1 | 2018-12-26T23:19:59.000Z | 2018-12-26T23:19:59.000Z | """
Tests for scraping and processing
"""
import pytest
import recipe_recommender as rr
@pytest.fixture()
def test_bodybuilding_scrape(testing_data):
"""
Test that pulling single recipe from bodybuilding database works.
"""
data = testing_data
# Write more tests here to see this data is what we expect (TODO)
def test_bodybuilding_process():
"""
Test that processing is done correctly
"""
data = testing_data
# TODO
| 19.724138 | 71 | 0.70979 | """
Tests for scraping and processing
"""
import pytest
import recipe_recommender as rr
@pytest.fixture()
def testing_data():
data = rr.scraping_and_processing.bodybuilding.scrape_db(test=True)
return data
def test_bodybuilding_scrape(testing_data):
"""
Test that pulling single recipe from bodybuilding database works.
"""
data = testing_data
# Write more tests here to see this data is what we expect (TODO)
def test_bodybuilding_process():
"""
Test that processing is done correctly
"""
data = testing_data
# TODO
| 86 | 0 | 22 |
cc37cfc49a0a2389cc7757855f918ffec9cc417c | 1,302 | py | Python | recipe-search/recipe/urls.py | talpor/recipe-search-hackathon | 7471f08e1067317f3bb1f35b4ebd4b3cd96e0580 | [
"BSD-3-Clause"
] | null | null | null | recipe-search/recipe/urls.py | talpor/recipe-search-hackathon | 7471f08e1067317f3bb1f35b4ebd4b3cd96e0580 | [
"BSD-3-Clause"
] | null | null | null | recipe-search/recipe/urls.py | talpor/recipe-search-hackathon | 7471f08e1067317f3bb1f35b4ebd4b3cd96e0580 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf.urls import patterns, url, include
from rest_framework.routers import DefaultRouter
from serializers import RecipeViewSet, IngredientViewSet, \
RecipeSearchIngTimeViewSet, RecipeRandomIngTimeViewSet
router = DefaultRouter()
router.register('recipes', RecipeViewSet)
router.register('ingredients', IngredientViewSet)
recipe_list = RecipeViewSet.as_view({
'get': 'list',
})
recipe_detail = RecipeViewSet.as_view({
'get': 'retrieve',
'put': 'update',
'delete': 'destroy',
})
recipe_search_ingtime = RecipeSearchIngTimeViewSet.as_view()
recipe_random_ingtime = RecipeRandomIngTimeViewSet.as_view()
ingredient_list = IngredientViewSet.as_view({
'get': 'list',
'post': 'create',
})
ingredient_detail = IngredientViewSet.as_view({
'get': 'retrieve',
'put': 'update',
'delete': 'destroy',
})
urlpatterns = patterns('',
# Home
url(r'^', include(router.urls)),
# Recipe search by ingredients and time
url(r'^recipes/search/ingredient_time/$', recipe_search_ingtime,
name="recipe-search-ingtime"),
# Random recipe by ingredients and time
url(r'^recipes/random/ingredient_time/$', recipe_random_ingtime,
name="recipe-random-ingtime"),
)
| 23.672727 | 68 | 0.715822 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf.urls import patterns, url, include
from rest_framework.routers import DefaultRouter
from serializers import RecipeViewSet, IngredientViewSet, \
RecipeSearchIngTimeViewSet, RecipeRandomIngTimeViewSet
router = DefaultRouter()
router.register('recipes', RecipeViewSet)
router.register('ingredients', IngredientViewSet)
recipe_list = RecipeViewSet.as_view({
'get': 'list',
})
recipe_detail = RecipeViewSet.as_view({
'get': 'retrieve',
'put': 'update',
'delete': 'destroy',
})
recipe_search_ingtime = RecipeSearchIngTimeViewSet.as_view()
recipe_random_ingtime = RecipeRandomIngTimeViewSet.as_view()
ingredient_list = IngredientViewSet.as_view({
'get': 'list',
'post': 'create',
})
ingredient_detail = IngredientViewSet.as_view({
'get': 'retrieve',
'put': 'update',
'delete': 'destroy',
})
urlpatterns = patterns('',
# Home
url(r'^', include(router.urls)),
# Recipe search by ingredients and time
url(r'^recipes/search/ingredient_time/$', recipe_search_ingtime,
name="recipe-search-ingtime"),
# Random recipe by ingredients and time
url(r'^recipes/random/ingredient_time/$', recipe_random_ingtime,
name="recipe-random-ingtime"),
)
| 0 | 0 | 0 |
c2150ce62ffd47c29665cff5b2c8493e916833e2 | 1,432 | py | Python | pytest/speed_tests/conftest.py | ribuild/delphin_6_automation | 12024381fc1042b46314c55d88b6349229ea33b7 | [
"MIT"
] | 2 | 2017-11-08T18:37:36.000Z | 2018-01-09T12:10:58.000Z | pytest/speed_tests/conftest.py | ribuild/delphin_6_automation | 12024381fc1042b46314c55d88b6349229ea33b7 | [
"MIT"
] | 111 | 2018-02-26T08:25:44.000Z | 2021-03-31T19:17:19.000Z | pytest/speed_tests/conftest.py | thp44/delphin_6_automation | 12024381fc1042b46314c55d88b6349229ea33b7 | [
"MIT"
] | 3 | 2017-11-06T10:01:25.000Z | 2018-02-14T09:45:28.000Z | __author__ = "Christian Kongsgaard"
__license__ = 'MIT'
# -------------------------------------------------------------------------------------------------------------------- #
# IMPORTS
# Modules
import pytest
import datetime
import os
# RiBuild Modules
from delphin_6_automation.backend import simulation_worker
from delphin_6_automation.delphin_setup import weather_modeling
# -------------------------------------------------------------------------------------------------------------------- #
# RIBuild
@pytest.fixture()
@pytest.fixture() | 31.130435 | 120 | 0.594274 | __author__ = "Christian Kongsgaard"
__license__ = 'MIT'
# -------------------------------------------------------------------------------------------------------------------- #
# IMPORTS
# Modules
import pytest
import datetime
import os
# RiBuild Modules
from delphin_6_automation.backend import simulation_worker
from delphin_6_automation.delphin_setup import weather_modeling
# -------------------------------------------------------------------------------------------------------------------- #
# RIBuild
@pytest.fixture()
def mock_wait_until_finished(monkeypatch):
def mock_return(sim_id: str, estimated_run_time: int, simulation_folder: str):
finished = False
start_time = None
while not start_time:
if os.path.exists(f"{simulation_folder}/{sim_id}"):
start_time = datetime.datetime.now()
while not finished:
if os.path.exists(f"{simulation_folder}/{sim_id}/log/summary.txt"):
finished = True
monkeypatch.setattr(simulation_worker, 'wait_until_finished', mock_return)
@pytest.fixture()
def mock_driving_rain(monkeypatch):
def mock_return(precipitation: list, wind_direction: list, wind_speed: list, wall_location: dict,
orientation, inclination=90, catch_ratio=None):
return [0.0 for _ in range(len(precipitation))]
monkeypatch.setattr(weather_modeling, 'driving_rain', mock_return) | 836 | 0 | 44 |
2550ad92d37eed2fc01a6851b66824b9b3d88803 | 7,728 | py | Python | bookclub/bookclub/bookclub_server/accountsettingscontroller.py | bookclubapp/bookclub_server | be6cf974373eb8aac436c9b3812864dcb53cdc89 | [
"MIT"
] | null | null | null | bookclub/bookclub/bookclub_server/accountsettingscontroller.py | bookclubapp/bookclub_server | be6cf974373eb8aac436c9b3812864dcb53cdc89 | [
"MIT"
] | null | null | null | bookclub/bookclub/bookclub_server/accountsettingscontroller.py | bookclubapp/bookclub_server | be6cf974373eb8aac436c9b3812864dcb53cdc89 | [
"MIT"
] | 1 | 2019-07-05T12:46:18.000Z | 2019-07-05T12:46:18.000Z | import hashlib
from django.core.serializers.json import DjangoJSONEncoder
from django.forms import model_to_dict
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework.utils import json
from .models import User, Match, TradeList, Suggestion, WishList, Book, AccountSettings
from django.http import JsonResponse
from django.db.models import Q
import random
@api_view(['GET'])
@api_view(['GET'])
@api_view(['GET'])
@api_view(['GET'])
@api_view(['GET'])
@api_view(['GET'])
@api_view(['POST'])
@api_view(['POST'])
@api_view(['POST'])
@api_view(['POST'])
@api_view(['POST']) | 35.944186 | 107 | 0.654891 | import hashlib
from django.core.serializers.json import DjangoJSONEncoder
from django.forms import model_to_dict
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework.utils import json
from .models import User, Match, TradeList, Suggestion, WishList, Book, AccountSettings
from django.http import JsonResponse
from django.db.models import Q
import random
@api_view(['GET'])
def index(request):
if "user" in request.session:
status = "success"
message = "here is the account info"
account_info = AccountSettings.objects.get(user_id=request.session['user'])
else:
status = "error"
message = "you should login first"
json_data = {"status": status, "message": message, "account_settings": None}
json_data = {"status": status, "message": message, "account_settings": model_to_dict(account_info)}
return JsonResponse(json_data, safe=False)
@api_view(['GET'])
def reset(request):
if "user" in request.session:
status = "success"
message = "account settings were reset succesfully"
account_info = AccountSettings.objects.get(user_id=request.session['user'])
account_info.userAvailability = True
account_info.userMessagable = True
account_info.lastSeen = True
account_info.save()
json_data = {"status": status, "message": message, "account_settings": model_to_dict(account_info)}
else:
status = "error"
message = "you should login first"
json_data = {"status": status, "message": message, "account_settings": None}
return JsonResponse(json_data, safe=False)
@api_view(['GET'])
def change_user_availability(request):
if "user" in request.session:
status = "success"
message = "user availability was changed succesfully"
account_info = AccountSettings.objects.get(user_id=request.session['user'])
if account_info.userAvailability:
account_info.userAvailability = False
else:
account_info.userAvailability = True
account_info.save()
json_data = {"status": status, "message": message, "account_settings": model_to_dict(account_info)}
else:
status = "error"
message = "you should login first"
json_data = {"status": status, "message": message, "account_settings": None}
return JsonResponse(json_data, safe=False)
@api_view(['GET'])
def change_user_messagable(request):
if "user" in request.session:
status = "success"
message = "user messagable was changed succesfully"
account_info = AccountSettings.objects.get(user_id=request.session['user'])
if account_info.userMessagable:
account_info.userMessagable = False
else:
account_info.userMessagable = True
account_info.save()
json_data = {"status": status, "message": message, "account_settings": model_to_dict(account_info)}
else:
status = "error"
message = "you should login first"
json_data = {"status": status, "message": message, "account_settings": None}
return JsonResponse(json_data, safe=False)
@api_view(['GET'])
def change_last_seen_state(request):
if "user" in request.session:
status = "success"
message = "last seen state was changed succesfully"
account_info = AccountSettings.objects.get(user_id=request.session['user'])
if account_info.lastSeen:
account_info.lastSeen = False
else:
account_info.lastSeen = True
account_info.save()
json_data = {"status": status, "message": message, "account_settings": model_to_dict(account_info)}
else:
status = "error"
message = "you should login first"
json_data = {"status": status, "message": message, "account_settings": None}
return JsonResponse(json_data, safe=False)
@api_view(['GET'])
def change_online_state(request):
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
if user.onlineState:
user.onlineState = False
else:
user.onlineState = True
user.save() # will use the real picture to store
status = 'success'
message = 'the user\'s online state was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data)
@api_view(['POST'])
def change_profile_picture(request):
user_data = json.loads(request.body) # {"profile_picture":"something.jpg"}
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
user.profilePicture = user_data['profile_picture']
user.save() # will use the real picture to store
status = 'success'
message = 'the profile picture was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data)
@api_view(['POST'])
def change_phone_number(request):
user_data = json.loads(request.body) # {"phone_number":"5318316467
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
user.phoneNumber = user_data['phone_number']
user.save() # will use the real picture to store
status = 'success'
message = 'the phone number was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data)
@api_view(['POST'])
def change_location(request):
user_data = json.loads(request.body) # {"long":"0.0000", "lat":"0.0000", "country":"Turkey"}
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
user.long = user_data['long']
user.lat = user_data['lat']
user.country = user_data['country']
user.save() # will use the real picture to store
status = 'success'
message = 'the user\'s location was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data)
@api_view(['POST'])
def change_email(request):
# gps will be added (discussed)
user_data = json.loads(request.body) # {"mail":"something@gmail.com"}
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
user.mail = user_data['mail']
user.save() # will use the real picture to store
status = 'success'
message = 'the email address was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data)
@api_view(['POST'])
def change_password(request):
user_data = json.loads(request.body) # {"password":"acacac"}
if "user" in request.session:
user = User.objects.get(id=request.session['user'])
salt = "%7hYY+5"
to_be_hashed = user_data["password"] + salt
hashed = hashlib.md5(to_be_hashed.encode('utf8')).hexdigest()
user.password = hashed
user.save() # will use the real picture to store
status = 'success'
message = 'the password was updated successfully'
else:
status = 'error'
message = 'you should login first'
json_data = {"status": status, "message": message}
return JsonResponse(json_data) | 6,837 | 0 | 242 |
0401599b259c818b191c532022ed908f5a7a63b2 | 1,155 | py | Python | __manifest__.py | danieldemedziuk/odoo12-work_schedule | 67f583472926e81aaf84d90aa5cff5a38a0149ef | [
"MIT"
] | null | null | null | __manifest__.py | danieldemedziuk/odoo12-work_schedule | 67f583472926e81aaf84d90aa5cff5a38a0149ef | [
"MIT"
] | 1 | 2021-07-01T11:45:58.000Z | 2021-07-07T13:40:09.000Z | __manifest__.py | danieldemedziuk/odoo12-work_schedule | 67f583472926e81aaf84d90aa5cff5a38a0149ef | [
"MIT"
] | 3 | 2020-11-05T14:06:26.000Z | 2021-03-20T00:43:40.000Z | # -*- coding: utf-8 -*-
{
'name': 'Work schedule',
'version': '1.0',
'author': 'Daniel Demedziuk',
'sequence': 110,
'summary': 'Projects, Employees, Schedule',
'company': 'Daniel Demedziuk',
'description': """
Work schedule of employees
==================================
This module provides insight into employee involvement in company projects. Load the number of working hours on a project.
The module allows you to verify vacations and availability for new tasks. It allows for effective and convenient personnel management by observing the progress and project load of individual employees.
If you need help, contact the author of the module.
email: daniel.demedziuk@gmail.com
""",
'website': 'website',
'category': 'Tool',
'depends': [
'project',
'base',
'mail',
'hr_holidays',
'web_timeline'
],
'data': [
'views/work_schedule_view.xml',
'views/server_action.xml',
'security/work_schedule_security.xml',
'security/ir.model.access.csv',
],
'auto_install': False,
'application': True,
'installable': True,
}
| 30.394737 | 201 | 0.624242 | # -*- coding: utf-8 -*-
{
'name': 'Work schedule',
'version': '1.0',
'author': 'Daniel Demedziuk',
'sequence': 110,
'summary': 'Projects, Employees, Schedule',
'company': 'Daniel Demedziuk',
'description': """
Work schedule of employees
==================================
This module provides insight into employee involvement in company projects. Load the number of working hours on a project.
The module allows you to verify vacations and availability for new tasks. It allows for effective and convenient personnel management by observing the progress and project load of individual employees.
If you need help, contact the author of the module.
email: daniel.demedziuk@gmail.com
""",
'website': 'website',
'category': 'Tool',
'depends': [
'project',
'base',
'mail',
'hr_holidays',
'web_timeline'
],
'data': [
'views/work_schedule_view.xml',
'views/server_action.xml',
'security/work_schedule_security.xml',
'security/ir.model.access.csv',
],
'auto_install': False,
'application': True,
'installable': True,
}
| 0 | 0 | 0 |
efd0c534c43c8dd2eba0992804b750104c674229 | 874 | py | Python | backend/config/views/graphql.py | hovedstyret/indok-web | 598e9ca0b5f3a5e776a85dec0a8694b9bcd5a159 | [
"MIT"
] | 3 | 2021-11-18T09:29:14.000Z | 2022-01-13T20:12:11.000Z | backend/config/views/graphql.py | rubberdok/indok-web | 598e9ca0b5f3a5e776a85dec0a8694b9bcd5a159 | [
"MIT"
] | 277 | 2022-01-17T18:16:44.000Z | 2022-03-31T19:44:04.000Z | backend/config/views/graphql.py | hovedstyret/indok-web | 598e9ca0b5f3a5e776a85dec0a8694b9bcd5a159 | [
"MIT"
] | null | null | null | from graphene_django.views import GraphQLView
from sentry_sdk.api import start_transaction
| 36.416667 | 112 | 0.6373 | from graphene_django.views import GraphQLView
from sentry_sdk.api import start_transaction
class CustomGraphQLView(GraphQLView):
def execute_graphql_request(self, request, data, query, variables, operation_name, show_graphiql=False):
"""
Enables performance tracing for GraphQL calls
"""
backend = self.get_backend(request)
if backend and query:
operation_type = backend.document_from_string(self.schema, query).get_operation_type(operation_name)
else:
operation_type = "http.server"
with start_transaction(op=operation_type, name=operation_name):
return super().execute_graphql_request(
request,
data,
query,
variables,
operation_name,
show_graphiql=show_graphiql,
)
| 0 | 759 | 23 |
0d357d0608fbe266eec21e0bf22de150016a09bf | 838 | py | Python | tests/gen_test.py | nim65s/mdmail | 10c9f4c422ea5bcdf3e687eb8c500ec4906ae9f9 | [
"BSD-2-Clause"
] | 56 | 2017-11-13T23:40:55.000Z | 2022-03-19T19:37:17.000Z | tests/gen_test.py | nim65s/mdmail | 10c9f4c422ea5bcdf3e687eb8c500ec4906ae9f9 | [
"BSD-2-Clause"
] | 4 | 2019-07-08T10:47:20.000Z | 2021-04-03T15:10:27.000Z | tests/gen_test.py | nim65s/mdmail | 10c9f4c422ea5bcdf3e687eb8c500ec4906ae9f9 | [
"BSD-2-Clause"
] | 9 | 2018-02-07T20:59:40.000Z | 2021-01-01T14:28:28.000Z | #!/usr/bin/env python
"""
A tool to generate html and txt file for a markdown file.
This is mainly used to generate test cases.
"""
import argparse
import os
from io import open
import mdmail
if __name__ == '__main__':
main()
| 27.032258 | 104 | 0.682578 | #!/usr/bin/env python
"""
A tool to generate html and txt file for a markdown file.
This is mainly used to generate test cases.
"""
import argparse
import os
from io import open
import mdmail
def main():
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument("file", help="Markdown file for email content")
args = parser.parse_args()
content = open(args.file, encoding='utf-8').read()
email = mdmail.EmailContent(content)
base_fname = args.file.rsplit('.', 1)[0]
html_fname = base_fname + '.html'
with open(html_fname, 'w', encoding='utf-8') as f:
f.write(email.html)
text_fname = base_fname + '.txt'
with open(text_fname, 'w', encoding='utf-8') as f:
f.write(email.text)
if __name__ == '__main__':
main()
| 581 | 0 | 23 |
244e7eb5f0e54c2259e9480dae8cf5e1507a7e4b | 12,077 | py | Python | train.py | RecoHut-Stanzas/S168471 | 7e0ac621c36f839e1df6876ec517d0ad00672790 | [
"BSD-3-Clause"
] | 37 | 2020-06-15T02:04:37.000Z | 2022-02-09T06:26:42.000Z | train.py | RecoHut-Stanzas/S168471 | 7e0ac621c36f839e1df6876ec517d0ad00672790 | [
"BSD-3-Clause"
] | 5 | 2020-08-06T13:16:34.000Z | 2022-02-04T07:29:29.000Z | train.py | RecoHut-Stanzas/S168471 | 7e0ac621c36f839e1df6876ec517d0ad00672790 | [
"BSD-3-Clause"
] | 11 | 2020-09-01T23:08:51.000Z | 2022-02-09T06:26:44.000Z | import argparse
import time
import gc
import os
import numpy as np
import torch
from torch.utils.data import DataLoader
from models.models import GroupIM
from utils.user_utils import TrainUserDataset, EvalUserDataset
from utils.group_utils import TrainGroupDataset, EvalGroupDataset
from eval.evaluate import evaluate_user, evaluate_group
if torch.cuda.is_available():
os.system('nvidia-smi -q -d Memory |grep -A4 GPU|grep Free >tmp')
memory_available = [int(x.split()[2]) for x in open('tmp', 'r').readlines()]
gpu_id = int(np.argmax(memory_available))
torch.cuda.set_device(gpu_id)
parser = argparse.ArgumentParser(description='PyTorch GroupIM: Group Information Maximization for Group Recommendation')
parser.add_argument('--dataset', type=str, default='weeplaces', help='Name of dataset')
# Training settings.
parser.add_argument('--lr', type=float, default=5e-3, help='initial learning rate')
parser.add_argument('--wd', type=float, default=0.00, help='weight decay coefficient')
parser.add_argument('--lambda_mi', type=float, default=1.0, help='MI lambda hyper param')
parser.add_argument('--drop_ratio', type=float, default=0.4, help='Dropout ratio')
parser.add_argument('--batch_size', type=int, default=256, help='batch size')
parser.add_argument('--epochs', type=int, default=200, help='maximum # training epochs')
parser.add_argument('--eval_freq', type=int, default=5, help='frequency to evaluate performance on validation set')
# Model settings.
parser.add_argument('--emb_size', type=int, default=64, help='layer size')
parser.add_argument('--aggregator', type=str, default='attention', help='choice of group preference aggregator',
choices=['maxpool', 'meanpool', 'attention'])
parser.add_argument('--negs_per_group', type=int, default=5, help='# negative users sampled per group')
# Pre-training settings.
parser.add_argument('--pretrain_user', action='store_true', help='Pre-train user encoder on user-item interactions')
parser.add_argument('--pretrain_mi', action='store_true', help='Pre-train MI estimator for a few epochs')
parser.add_argument('--pretrain_epochs', type=int, default=100, help='# pre-train epochs for user encoder layer')
parser.add_argument('--cuda', action='store_true', help='use CUDA')
parser.add_argument('--seed', type=int, default=1111, help='random seed for reproducibility')
# Model save file parameters.
parser.add_argument('--save', type=str, default='model_user.pt', help='path to save the final model')
parser.add_argument('--save_group', type=str, default='model_group.pt', help='path to save the final model')
args = parser.parse_args()
torch.manual_seed(args.seed) # Set the random seed manually for reproducibility.
if torch.cuda.is_available():
if not args.cuda:
print("WARNING: You have a CUDA device, so you should probably run with --cuda")
###############################################################################
# Load data
###############################################################################
train_params = {'batch_size': args.batch_size, 'shuffle': False, 'num_workers': 6, 'pin_memory': True}
eval_params = {'batch_size': args.batch_size, 'shuffle': False, 'num_workers': 6, 'pin_memory': True}
device = torch.device("cuda" if args.cuda else "cpu")
# Define train/val/test datasets on user interactions.
train_dataset = TrainUserDataset(args.dataset) # train dataset for user-item interactions.
n_items, n_users = train_dataset.n_items, train_dataset.n_users
val_dataset = EvalUserDataset(args.dataset, n_items, datatype='val')
test_dataset = EvalUserDataset(args.dataset, n_items, datatype='test')
# Define train/val/test datasets on group and user interactions.
train_group_dataset = TrainGroupDataset(args.dataset, n_items, args.negs_per_group)
padding_idx = train_group_dataset.padding_idx
val_group_dataset = EvalGroupDataset(args.dataset, n_items, padding_idx, datatype='val')
test_group_dataset = EvalGroupDataset(args.dataset, n_items, padding_idx, datatype='test')
# Define data loaders on user interactions.
train_loader = DataLoader(train_dataset, **train_params)
val_loader = DataLoader(val_dataset, **eval_params)
test_loader = DataLoader(test_dataset, **eval_params)
# Define data loaders on group interactions.
train_group_loader = DataLoader(train_group_dataset, **train_params)
val_group_loader = DataLoader(val_group_dataset, **eval_params)
test_group_loader = DataLoader(test_group_dataset, **eval_params)
###############################################################################
# Build the model
###############################################################################
user_layers = [args.emb_size] # user encoder layer configuration is tunable.
model = GroupIM(n_items, user_layers, drop_ratio=args.drop_ratio, aggregator_type=args.aggregator,
lambda_mi=args.lambda_mi).to(device)
optimizer_gr = torch.optim.Adam(model.parameters(), lr=args.lr, weight_decay=args.wd)
best_user_n100, best_group_n100 = -np.inf, -np.inf
print("args", args)
# At any point you can hit Ctrl + C to break out of training early.
try:
if args.pretrain_user:
optimizer_ur = torch.optim.Adam(model.parameters(), lr=0.01, weight_decay=args.wd)
print("Pre-training model on user-item interactions")
for epoch in range(0, args.pretrain_epochs):
epoch_start_time = time.time()
model.train()
train_user_loss = 0.0
start_time = time.time()
for batch_index, data in enumerate(train_loader):
optimizer_ur.zero_grad()
data = [x.to(device, non_blocking=True) for x in data]
(train_users, train_items) = data
user_logits, user_embeds = model.user_preference_encoder.pre_train_forward(train_items)
user_loss = model.user_loss(user_logits, train_items)
user_loss.backward()
train_user_loss += user_loss.item()
optimizer_ur.step()
del train_users, train_items, user_logits, user_embeds
elapsed = time.time() - start_time
print('| epoch {:3d} | time {:4.2f} | loss {:4.2f}'.format(epoch + 1, elapsed,
train_user_loss / len(train_loader)))
if epoch % args.eval_freq == 0:
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='pretrain')
if n100 > best_user_n100:
torch.save(model.state_dict(), args.save)
best_user_n100 = n100
print("Load best pre-trained user encoder")
model.load_state_dict(torch.load(args.save))
model = model.to(device)
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='pretrain')
print('=' * 89)
print('| User evaluation | val loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | '
'r50 {:4.4f}'.format(val_loss, n100, r20, r50))
print("Initializing group recommender with pre-train user encoder")
# Initialize the group predictor (item embedding) weight based on the pre-trained user predictor.
model.group_predictor.weight.data = model.user_preference_encoder.user_predictor.weight.data
if args.pretrain_mi:
# pre-train MI estimator.
for epoch in range(0, 10):
model.train()
t = time.time()
mi_epoch_loss = 0.0
for batch_index, data in enumerate(train_group_loader):
data = [x.to(device, non_blocking=True) for x in data]
group, group_users, group_mask, group_items, user_items, corrupted_user_items = data
optimizer_gr.zero_grad()
model.zero_grad()
model.train()
_, group_embeds, _ = model(group, group_users, group_mask, user_items)
obs_user_embed = model.user_preference_encoder(user_items).detach() # [B, G, D]
corrupted_user_embed = model.user_preference_encoder(corrupted_user_items).detach() # [B, # negs, D]
scores_observed = model.discriminator(group_embeds, obs_user_embed, group_mask) # [B, G]
scores_corrupted = model.discriminator(group_embeds, corrupted_user_embed, group_mask) # [B, # negs]
mi_loss = model.discriminator.mi_loss(scores_observed, group_mask, scores_corrupted, device=device)
mi_loss.backward()
optimizer_gr.step()
mi_epoch_loss += mi_loss
del group, group_users, group_mask, group_items, user_items, corrupted_user_items, \
obs_user_embed, corrupted_user_embed
gc.collect()
print("MI loss: {}".format(float(mi_epoch_loss) / len(train_group_loader)))
optimizer_gr = torch.optim.Adam(model.parameters(), lr=args.lr, weight_decay=args.wd)
for epoch in range(0, args.epochs):
epoch_start_time = time.time()
model.train()
train_group_epoch_loss = 0.0
for batch_index, data in enumerate(train_group_loader):
data = [x.to(device, non_blocking=True) for x in data]
group, group_users, group_mask, group_items, user_items, corrupted_user_items = data
optimizer_gr.zero_grad()
model.zero_grad()
group_logits, group_embeds, scores_ug = model(group.squeeze(), group_users, group_mask, user_items)
group_loss = model.loss(group_logits, group_embeds, scores_ug, group_mask, group_items, user_items,
corrupted_user_items, device=device)
group_loss.backward()
train_group_epoch_loss += group_loss.item()
optimizer_gr.step()
del group, group_users, group_mask, group_items, user_items, corrupted_user_items, \
group_logits, group_embeds, scores_ug
gc.collect()
print("Train loss: {}".format(float(train_group_epoch_loss) / len(train_group_loader)))
if epoch % args.eval_freq == 0:
# Group evaluation.
val_loss_group, n100_group, r20_group, r50_group, _ = evaluate_group(model, val_group_loader, device)
print('-' * 89)
print('| end of epoch {:3d} | time: {:4.2f}s | n100 (group) {:5.4f} | r20 (group) {:5.4f} | r50 (group) '
'{:5.4f}'.format(epoch + 1, time.time() - epoch_start_time, n100_group, r20_group, r50_group))
print('-' * 89)
# Save the model if the n100 is the best we've seen so far.
if n100_group > best_group_n100:
with open(args.save_group, 'wb') as f:
torch.save(model, f)
best_group_n100 = n100_group
except KeyboardInterrupt:
print('-' * 89)
print('Exiting from training early')
# Load the best saved model.
with open(args.save_group, 'rb') as f:
model = torch.load(f, map_location='cuda')
model = model.to(device)
# Best validation evaluation
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='group')
print('=' * 89)
print('| User evaluation | val loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | r50 {:4.4f}'
.format(val_loss, n100, r20, r50))
# Test evaluation
test_loss, n100, r20, r50, _ = evaluate_user(model, test_loader, device, mode='group')
print('=' * 89)
print('| User evaluation | test loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | r50 {:4.4f}'
.format(test_loss, n100, r20, r50))
print('=' * 89)
_, n100_group, r20_group, r50_group, _ = evaluate_group(model, val_group_loader, device)
print('| Group evaluation (val) | n100 (group) {:4.4f} | r20 (group) {:4.4f} | r50 (group) {:4.4f}'
.format(n100_group, r20_group, r50_group))
print('=' * 89)
_, n100_group, r20_group, r50_group, _ = evaluate_group(model, test_group_loader, device)
print('| Group evaluation (test) | n100 (group) {:4.4f} | r20 (group) {:4.4f} | r50 (group) {:4.4f}'
.format(n100_group, r20_group, r50_group))
| 50.112033 | 120 | 0.655212 | import argparse
import time
import gc
import os
import numpy as np
import torch
from torch.utils.data import DataLoader
from models.models import GroupIM
from utils.user_utils import TrainUserDataset, EvalUserDataset
from utils.group_utils import TrainGroupDataset, EvalGroupDataset
from eval.evaluate import evaluate_user, evaluate_group
if torch.cuda.is_available():
os.system('nvidia-smi -q -d Memory |grep -A4 GPU|grep Free >tmp')
memory_available = [int(x.split()[2]) for x in open('tmp', 'r').readlines()]
gpu_id = int(np.argmax(memory_available))
torch.cuda.set_device(gpu_id)
parser = argparse.ArgumentParser(description='PyTorch GroupIM: Group Information Maximization for Group Recommendation')
parser.add_argument('--dataset', type=str, default='weeplaces', help='Name of dataset')
# Training settings.
parser.add_argument('--lr', type=float, default=5e-3, help='initial learning rate')
parser.add_argument('--wd', type=float, default=0.00, help='weight decay coefficient')
parser.add_argument('--lambda_mi', type=float, default=1.0, help='MI lambda hyper param')
parser.add_argument('--drop_ratio', type=float, default=0.4, help='Dropout ratio')
parser.add_argument('--batch_size', type=int, default=256, help='batch size')
parser.add_argument('--epochs', type=int, default=200, help='maximum # training epochs')
parser.add_argument('--eval_freq', type=int, default=5, help='frequency to evaluate performance on validation set')
# Model settings.
parser.add_argument('--emb_size', type=int, default=64, help='layer size')
parser.add_argument('--aggregator', type=str, default='attention', help='choice of group preference aggregator',
choices=['maxpool', 'meanpool', 'attention'])
parser.add_argument('--negs_per_group', type=int, default=5, help='# negative users sampled per group')
# Pre-training settings.
parser.add_argument('--pretrain_user', action='store_true', help='Pre-train user encoder on user-item interactions')
parser.add_argument('--pretrain_mi', action='store_true', help='Pre-train MI estimator for a few epochs')
parser.add_argument('--pretrain_epochs', type=int, default=100, help='# pre-train epochs for user encoder layer')
parser.add_argument('--cuda', action='store_true', help='use CUDA')
parser.add_argument('--seed', type=int, default=1111, help='random seed for reproducibility')
# Model save file parameters.
parser.add_argument('--save', type=str, default='model_user.pt', help='path to save the final model')
parser.add_argument('--save_group', type=str, default='model_group.pt', help='path to save the final model')
args = parser.parse_args()
torch.manual_seed(args.seed) # Set the random seed manually for reproducibility.
if torch.cuda.is_available():
if not args.cuda:
print("WARNING: You have a CUDA device, so you should probably run with --cuda")
###############################################################################
# Load data
###############################################################################
train_params = {'batch_size': args.batch_size, 'shuffle': False, 'num_workers': 6, 'pin_memory': True}
eval_params = {'batch_size': args.batch_size, 'shuffle': False, 'num_workers': 6, 'pin_memory': True}
device = torch.device("cuda" if args.cuda else "cpu")
# Define train/val/test datasets on user interactions.
train_dataset = TrainUserDataset(args.dataset) # train dataset for user-item interactions.
n_items, n_users = train_dataset.n_items, train_dataset.n_users
val_dataset = EvalUserDataset(args.dataset, n_items, datatype='val')
test_dataset = EvalUserDataset(args.dataset, n_items, datatype='test')
# Define train/val/test datasets on group and user interactions.
train_group_dataset = TrainGroupDataset(args.dataset, n_items, args.negs_per_group)
padding_idx = train_group_dataset.padding_idx
val_group_dataset = EvalGroupDataset(args.dataset, n_items, padding_idx, datatype='val')
test_group_dataset = EvalGroupDataset(args.dataset, n_items, padding_idx, datatype='test')
# Define data loaders on user interactions.
train_loader = DataLoader(train_dataset, **train_params)
val_loader = DataLoader(val_dataset, **eval_params)
test_loader = DataLoader(test_dataset, **eval_params)
# Define data loaders on group interactions.
train_group_loader = DataLoader(train_group_dataset, **train_params)
val_group_loader = DataLoader(val_group_dataset, **eval_params)
test_group_loader = DataLoader(test_group_dataset, **eval_params)
###############################################################################
# Build the model
###############################################################################
user_layers = [args.emb_size] # user encoder layer configuration is tunable.
model = GroupIM(n_items, user_layers, drop_ratio=args.drop_ratio, aggregator_type=args.aggregator,
lambda_mi=args.lambda_mi).to(device)
optimizer_gr = torch.optim.Adam(model.parameters(), lr=args.lr, weight_decay=args.wd)
best_user_n100, best_group_n100 = -np.inf, -np.inf
print("args", args)
# At any point you can hit Ctrl + C to break out of training early.
try:
if args.pretrain_user:
optimizer_ur = torch.optim.Adam(model.parameters(), lr=0.01, weight_decay=args.wd)
print("Pre-training model on user-item interactions")
for epoch in range(0, args.pretrain_epochs):
epoch_start_time = time.time()
model.train()
train_user_loss = 0.0
start_time = time.time()
for batch_index, data in enumerate(train_loader):
optimizer_ur.zero_grad()
data = [x.to(device, non_blocking=True) for x in data]
(train_users, train_items) = data
user_logits, user_embeds = model.user_preference_encoder.pre_train_forward(train_items)
user_loss = model.user_loss(user_logits, train_items)
user_loss.backward()
train_user_loss += user_loss.item()
optimizer_ur.step()
del train_users, train_items, user_logits, user_embeds
elapsed = time.time() - start_time
print('| epoch {:3d} | time {:4.2f} | loss {:4.2f}'.format(epoch + 1, elapsed,
train_user_loss / len(train_loader)))
if epoch % args.eval_freq == 0:
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='pretrain')
if n100 > best_user_n100:
torch.save(model.state_dict(), args.save)
best_user_n100 = n100
print("Load best pre-trained user encoder")
model.load_state_dict(torch.load(args.save))
model = model.to(device)
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='pretrain')
print('=' * 89)
print('| User evaluation | val loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | '
'r50 {:4.4f}'.format(val_loss, n100, r20, r50))
print("Initializing group recommender with pre-train user encoder")
# Initialize the group predictor (item embedding) weight based on the pre-trained user predictor.
model.group_predictor.weight.data = model.user_preference_encoder.user_predictor.weight.data
if args.pretrain_mi:
# pre-train MI estimator.
for epoch in range(0, 10):
model.train()
t = time.time()
mi_epoch_loss = 0.0
for batch_index, data in enumerate(train_group_loader):
data = [x.to(device, non_blocking=True) for x in data]
group, group_users, group_mask, group_items, user_items, corrupted_user_items = data
optimizer_gr.zero_grad()
model.zero_grad()
model.train()
_, group_embeds, _ = model(group, group_users, group_mask, user_items)
obs_user_embed = model.user_preference_encoder(user_items).detach() # [B, G, D]
corrupted_user_embed = model.user_preference_encoder(corrupted_user_items).detach() # [B, # negs, D]
scores_observed = model.discriminator(group_embeds, obs_user_embed, group_mask) # [B, G]
scores_corrupted = model.discriminator(group_embeds, corrupted_user_embed, group_mask) # [B, # negs]
mi_loss = model.discriminator.mi_loss(scores_observed, group_mask, scores_corrupted, device=device)
mi_loss.backward()
optimizer_gr.step()
mi_epoch_loss += mi_loss
del group, group_users, group_mask, group_items, user_items, corrupted_user_items, \
obs_user_embed, corrupted_user_embed
gc.collect()
print("MI loss: {}".format(float(mi_epoch_loss) / len(train_group_loader)))
optimizer_gr = torch.optim.Adam(model.parameters(), lr=args.lr, weight_decay=args.wd)
for epoch in range(0, args.epochs):
epoch_start_time = time.time()
model.train()
train_group_epoch_loss = 0.0
for batch_index, data in enumerate(train_group_loader):
data = [x.to(device, non_blocking=True) for x in data]
group, group_users, group_mask, group_items, user_items, corrupted_user_items = data
optimizer_gr.zero_grad()
model.zero_grad()
group_logits, group_embeds, scores_ug = model(group.squeeze(), group_users, group_mask, user_items)
group_loss = model.loss(group_logits, group_embeds, scores_ug, group_mask, group_items, user_items,
corrupted_user_items, device=device)
group_loss.backward()
train_group_epoch_loss += group_loss.item()
optimizer_gr.step()
del group, group_users, group_mask, group_items, user_items, corrupted_user_items, \
group_logits, group_embeds, scores_ug
gc.collect()
print("Train loss: {}".format(float(train_group_epoch_loss) / len(train_group_loader)))
if epoch % args.eval_freq == 0:
# Group evaluation.
val_loss_group, n100_group, r20_group, r50_group, _ = evaluate_group(model, val_group_loader, device)
print('-' * 89)
print('| end of epoch {:3d} | time: {:4.2f}s | n100 (group) {:5.4f} | r20 (group) {:5.4f} | r50 (group) '
'{:5.4f}'.format(epoch + 1, time.time() - epoch_start_time, n100_group, r20_group, r50_group))
print('-' * 89)
# Save the model if the n100 is the best we've seen so far.
if n100_group > best_group_n100:
with open(args.save_group, 'wb') as f:
torch.save(model, f)
best_group_n100 = n100_group
except KeyboardInterrupt:
print('-' * 89)
print('Exiting from training early')
# Load the best saved model.
with open(args.save_group, 'rb') as f:
model = torch.load(f, map_location='cuda')
model = model.to(device)
# Best validation evaluation
val_loss, n100, r20, r50, _ = evaluate_user(model, val_loader, device, mode='group')
print('=' * 89)
print('| User evaluation | val loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | r50 {:4.4f}'
.format(val_loss, n100, r20, r50))
# Test evaluation
test_loss, n100, r20, r50, _ = evaluate_user(model, test_loader, device, mode='group')
print('=' * 89)
print('| User evaluation | test loss {:4.4f} | n100 {:4.4f} | r20 {:4.4f} | r50 {:4.4f}'
.format(test_loss, n100, r20, r50))
print('=' * 89)
_, n100_group, r20_group, r50_group, _ = evaluate_group(model, val_group_loader, device)
print('| Group evaluation (val) | n100 (group) {:4.4f} | r20 (group) {:4.4f} | r50 (group) {:4.4f}'
.format(n100_group, r20_group, r50_group))
print('=' * 89)
_, n100_group, r20_group, r50_group, _ = evaluate_group(model, test_group_loader, device)
print('| Group evaluation (test) | n100 (group) {:4.4f} | r20 (group) {:4.4f} | r50 (group) {:4.4f}'
.format(n100_group, r20_group, r50_group))
| 0 | 0 | 0 |
4400bb9e558de4f185705262b447d2c53bc2baf3 | 3,163 | py | Python | run_test.py | 2gunsu/SPL2021-FEN | a674df75da71290b8ab8ed330a453b1b2e94512c | [
"MIT"
] | 3 | 2021-05-25T05:15:09.000Z | 2021-12-30T07:04:45.000Z | run_test.py | 2gunsu/SPL2021-FEN | a674df75da71290b8ab8ed330a453b1b2e94512c | [
"MIT"
] | null | null | null | run_test.py | 2gunsu/SPL2021-FEN | a674df75da71290b8ab8ed330a453b1b2e94512c | [
"MIT"
] | null | null | null | import os
import yaml
import warnings
from argparse import ArgumentParser
from typing import Any, Union, Tuple
from detectron2.config import get_cfg, CfgNode
from detectron2.data import build_detection_test_loader
from detectron2.data.datasets import register_coco_instances
from detectron2.evaluation import COCOEvaluator, inference_on_dataset
from detectron2.checkpoint import DetectionCheckpointer
from module.rcnn import RCNN
from engine.trainer import FENTrainer
from data.mapper import generate_mapper
warnings.filterwarnings('ignore')
parser = ArgumentParser(description="Evaulation for FEN")
parser.add_argument('--data_root', type=str, help="Directory of test dataset")
parser.add_argument('--ckpt_root', type=str, help="Directory of checkpoint")
parser.add_argument('--noise_type', type=str, default='none', help="What kind of noise to be added.", choices=['none', 'gaussian', 'snp'])
parser.add_argument('--noise_params', nargs="+", default=[], help="Parameters for controlling the noise.")
parser.add_argument('--input_size', type=int, default=800, help="Determinte the size of the image to be used for evaluation.")
if __name__ == "__main__":
args = parser.parse_args()
# Parameters
checkpoint_path: str = args.ckpt_root
test_data_root: str = args.data_root
test_input_size: Union[Tuple[int, int], int] = args.input_size
test_noise_type: str = args.noise_type
test_noise_params: Any = args.noise_params
if isinstance(test_noise_params, list) and len(test_noise_params) != 0:
if test_noise_type == "gaussian":
noise_params = [int(p) for p in test_noise_params]
elif test_noise_type == "snp":
noise_params = float(test_noise_params[0])
# Register test dataset.
register_coco_instances(name='test',
metadata={},
json_file=os.path.join(test_data_root, 'Label.json'),
image_root=os.path.join(test_data_root, 'Image'))
# Load configuration from checkpoint.
with open(os.path.join(checkpoint_path, 'config.yaml'), 'r') as f:
data = yaml.safe_load(f)
cfg = CfgNode(data)
cfg.DATASETS.TRAIN, cfg.DATASETS.TEST = ('test',), ('test',)
# Build trained model, evaluator, data loader for test.
trainer = FENTrainer(cfg)
mapper = generate_mapper(test_input_size, test_noise_type, test_noise_params)
DetectionCheckpointer(trainer.model).load(cfg.MODEL.WEIGHTS)
print(f'Weight "{cfg.MODEL.WEIGHTS}" is loaded for evaluation.')
evaluator = COCOEvaluator(dataset_name='test',
tasks=('bbox', ),
distributed=False,
output_dir=os.path.join(cfg.OUTPUT_DIR, 'evaluation'))
test_loader = build_detection_test_loader(cfg,
dataset_name='test',
mapper=mapper)
# Evaluate the trained model.
result = inference_on_dataset(model=trainer.model,
data_loader=test_loader,
evaluator=evaluator)
| 41.077922 | 138 | 0.668037 | import os
import yaml
import warnings
from argparse import ArgumentParser
from typing import Any, Union, Tuple
from detectron2.config import get_cfg, CfgNode
from detectron2.data import build_detection_test_loader
from detectron2.data.datasets import register_coco_instances
from detectron2.evaluation import COCOEvaluator, inference_on_dataset
from detectron2.checkpoint import DetectionCheckpointer
from module.rcnn import RCNN
from engine.trainer import FENTrainer
from data.mapper import generate_mapper
warnings.filterwarnings('ignore')
parser = ArgumentParser(description="Evaulation for FEN")
parser.add_argument('--data_root', type=str, help="Directory of test dataset")
parser.add_argument('--ckpt_root', type=str, help="Directory of checkpoint")
parser.add_argument('--noise_type', type=str, default='none', help="What kind of noise to be added.", choices=['none', 'gaussian', 'snp'])
parser.add_argument('--noise_params', nargs="+", default=[], help="Parameters for controlling the noise.")
parser.add_argument('--input_size', type=int, default=800, help="Determinte the size of the image to be used for evaluation.")
if __name__ == "__main__":
args = parser.parse_args()
# Parameters
checkpoint_path: str = args.ckpt_root
test_data_root: str = args.data_root
test_input_size: Union[Tuple[int, int], int] = args.input_size
test_noise_type: str = args.noise_type
test_noise_params: Any = args.noise_params
if isinstance(test_noise_params, list) and len(test_noise_params) != 0:
if test_noise_type == "gaussian":
noise_params = [int(p) for p in test_noise_params]
elif test_noise_type == "snp":
noise_params = float(test_noise_params[0])
# Register test dataset.
register_coco_instances(name='test',
metadata={},
json_file=os.path.join(test_data_root, 'Label.json'),
image_root=os.path.join(test_data_root, 'Image'))
# Load configuration from checkpoint.
with open(os.path.join(checkpoint_path, 'config.yaml'), 'r') as f:
data = yaml.safe_load(f)
cfg = CfgNode(data)
cfg.DATASETS.TRAIN, cfg.DATASETS.TEST = ('test',), ('test',)
# Build trained model, evaluator, data loader for test.
trainer = FENTrainer(cfg)
mapper = generate_mapper(test_input_size, test_noise_type, test_noise_params)
DetectionCheckpointer(trainer.model).load(cfg.MODEL.WEIGHTS)
print(f'Weight "{cfg.MODEL.WEIGHTS}" is loaded for evaluation.')
evaluator = COCOEvaluator(dataset_name='test',
tasks=('bbox', ),
distributed=False,
output_dir=os.path.join(cfg.OUTPUT_DIR, 'evaluation'))
test_loader = build_detection_test_loader(cfg,
dataset_name='test',
mapper=mapper)
# Evaluate the trained model.
result = inference_on_dataset(model=trainer.model,
data_loader=test_loader,
evaluator=evaluator)
| 0 | 0 | 0 |
8314e2fc53745a40853791c109169353cd164e28 | 290 | py | Python | projects/code_combat/7_Sarven_Desert/329-Wandering_Souls/wandering_souls.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | projects/code_combat/7_Sarven_Desert/329-Wandering_Souls/wandering_souls.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | projects/code_combat/7_Sarven_Desert/329-Wandering_Souls/wandering_souls.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | while True:
enemies = hero.findEnemies()
for enemy in enemies:
while enemy.health > 0:
hero.attack(enemy)
items = hero.findItems()
for item in items:
while hero.distanceTo(item) > 2:
hero.moveXY(item.pos.x, item.pos.y)
| 26.363636 | 48 | 0.558621 | while True:
enemies = hero.findEnemies()
for enemy in enemies:
while enemy.health > 0:
hero.attack(enemy)
items = hero.findItems()
for item in items:
while hero.distanceTo(item) > 2:
hero.moveXY(item.pos.x, item.pos.y)
| 0 | 0 | 0 |
5f7bb77c03d84cef4b75a27947110c8f7f0b244d | 806 | py | Python | 2017/day01/day01.py | icemanblues/advent-of-code | eac937ac2762d1c8b8cec358a13af352e339446c | [
"Apache-2.0"
] | null | null | null | 2017/day01/day01.py | icemanblues/advent-of-code | eac937ac2762d1c8b8cec358a13af352e339446c | [
"Apache-2.0"
] | 2 | 2020-04-06T18:56:13.000Z | 2022-03-30T20:32:50.000Z | 2017/day01/day01.py | icemanblues/advent-of-code | eac937ac2762d1c8b8cec358a13af352e339446c | [
"Apache-2.0"
] | null | null | null | from typing import List
day_num = "01"
day_title = "Inverse Captcha"
if __name__ == '__main__':
main()
| 17.911111 | 56 | 0.533499 | from typing import List
day_num = "01"
day_title = "Inverse Captcha"
def read_input(filename: str) -> List[str]:
with open(filename) as f:
content = [x.strip('\n') for x in f.readlines()]
return content
def part1():
line = read_input("input.txt")[0]
curr = line[len(line)-1]
count = 0
for c in line:
if curr == c:
count += int(c)
curr = c
print("Part 1:", count)
def part2():
line = read_input("input.txt")[0]
half = len(line)/2
count = 0
for i in range(len(line)):
j = int((i+half) % len(line))
if line[i] == line[j]:
count += int(line[i])
print("Part 2:", count)
def main():
print("Day", day_num, ":", day_title)
part1()
part2()
if __name__ == '__main__':
main()
| 600 | 0 | 92 |
c8c7a5fce1bb23b8ac543706dc01171394f29335 | 3,686 | py | Python | src/py_spm/_meeg.py | evanr70/py_spm | 81055bb0df098d0210587e55d93731e2a285afd5 | [
"MIT"
] | null | null | null | src/py_spm/_meeg.py | evanr70/py_spm | 81055bb0df098d0210587e55d93731e2a285afd5 | [
"MIT"
] | null | null | null | src/py_spm/_meeg.py | evanr70/py_spm | 81055bb0df098d0210587e55d93731e2a285afd5 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
import numpy as np
from scipy.io import loadmat
from ._channel import Channel, chan_types
from ._data import Data
from ._trial import Trial
from .utils import check_lowered_string
@dataclass
| 33.207207 | 86 | 0.655724 | from dataclasses import dataclass
import numpy as np
from scipy.io import loadmat
from ._channel import Channel, chan_types
from ._data import Data
from ._trial import Trial
from .utils import check_lowered_string
class MEEG:
def __init__(self, filename):
D = loadmat(filename, simplify_cells=True)["D"]
self.type = D["type"]
self.n_samples = D["Nsamples"]
self.f_sample = D["Fsample"]
self.time_onset = D["timeOnset"]
self.trials = Trial(**D["trials"])
self.channels = [Channel.from_dict(channel) for channel in D["channels"]]
self.data = Data(**D["data"])
self.fname = D["fname"]
self.path = D["path"]
self.sensors = D["sensors"]
self.fiducials = D["fiducials"]
self.transform = D["transform"]
self.condlist = D["condlist"]
self.montage = D["montage"]
self.history = D["history"]
self.other = D["other"]
self.trials.calculate_samples(self.f_sample)
self.index = np.ones(self.n_samples, dtype=bool)
self.good_index = np.zeros(self.n_samples, dtype=int)
self.mark_artefacts_as_bad()
self.reindex_good_samples()
self.reindex_event_samples()
self.trial_definition = None
def epoch_data(self, data):
trial_def = self.trial_definition
if trial_def is None:
raise ValueError("No trials has been defined.")
trials = self.trials
events = check_lowered_string(self.trials.types, trial_def.event_type)
starts = np.round(trials.good_samples) - trial_def.pre_stim * self.f_sample
starts = starts[events]
ends = np.round(trials.good_end_samples) + trial_def.post_stim * self.f_sample
ends = ends[events]
valid = (starts > 0) & (ends < min(self.index.sum(), data.shape[0]))
epochs = []
for start, end in zip(starts[valid], ends[valid]):
epochs.append(data[start:end])
return np.array(epochs)
def define_trial(self, event_type, pre_stim, post_stim):
self.trial_definition = TrialParameters(event_type, pre_stim, post_stim)
def mark_artefacts_as_bad(self):
artefacts = check_lowered_string(self.trials.types, "artefact")
starts = self.trials.samples[artefacts]
ends = self.trials.end_samples[artefacts]
for start, end in zip(starts, ends):
self.index[start:end] = False
def _channel_property(self, property_):
return np.array([getattr(channel, property_) for channel in self.channels])
def channel_types(self):
return self._channel_property("type")
def channel_selection(self, channel_type):
return np.isin(self.channel_types(), chan_types[channel_type])
def full_index(self, channel_type):
return np.ix_(self.index, self.channel_selection(channel_type))
def reindex_good_samples(self):
self.good_index = np.zeros_like(self.index) - 1
self.good_index[self.index] = np.arange(self.index.sum())
self.good_index = np.minimum(self.good_index, self.n_samples)
def reindex_event_samples(self):
self.trials.good_samples = self.good_index[self.trials.samples]
# TODO: Sort out this hacky solution to excess samples.
# It might actually not be hacky, bad segments *may* extend past n_samples.
self.trials.good_end_samples = self.good_index[
np.minimum(self.trials.end_samples, self.n_samples - 1)
]
@property
def n_good_samples(self):
return self.index.sum()
@dataclass
class TrialParameters:
event_type: str
pre_stim: float
post_stim: float
| 3,049 | 362 | 45 |
242925589fb185a5ed756cf0b989e7439c3fdd36 | 1,777 | py | Python | mriseqplot/shapes.py | Sibgatulin/MRISeqPlot | 0ca93ac5ab6c4aba6e8f56fd12d5df416df2939c | [
"MIT"
] | null | null | null | mriseqplot/shapes.py | Sibgatulin/MRISeqPlot | 0ca93ac5ab6c4aba6e8f56fd12d5df416df2939c | [
"MIT"
] | 2 | 2020-06-23T15:07:06.000Z | 2020-06-23T15:08:39.000Z | mriseqplot/shapes.py | Sibgatulin/MRISeqPlot | 0ca93ac5ab6c4aba6e8f56fd12d5df416df2939c | [
"MIT"
] | null | null | null | import numpy as np
def trapezoid(t, t_start, t_flat_out, t_ramp_down):
""" A symmetrical trapezoid of unit height
Parameters
----------
t : array_like, 1D
Vector of time values, specifying the entire domain of the sequence
t_start : float
Moment in time when the gradient is switched on and starts to linearly ramp up
t_flat_out : float
Moment in time when the gradient is fully on and stays constant after
t_ramp_down : float
Moment in time when the gradient starts to ramp down. Ramp down time in this
function is considered to be the same as the rump up.
Returns
-------
x : np.array, 1D
Array of the same dtype as t, representing the trapezoid gradient
"""
x = np.zeros_like(t)
dt_ramp = t_flat_out - t_start
idx_ramp_up = (t_start < t) & (t <= t_flat_out)
idx_flat = (t_flat_out < t) & (t <= t_ramp_down)
idx_ramp_down = (t_ramp_down < t) & (t <= t_ramp_down + dt_ramp)
x[idx_ramp_up] = (t[idx_ramp_up] - t_start) / dt_ramp
x[idx_flat] = 1
x[idx_ramp_down] = (t_ramp_down - t[idx_ramp_down]) / dt_ramp + 1
return x
| 34.843137 | 86 | 0.631964 | import numpy as np
def rf_sinc(t, t_start, duration, side_lobes):
y = np.zeros_like(t)
idx_rf = (t > t_start) & (t < t_start + duration)
t_rf = t[idx_rf] - t_start - duration / 2
y[idx_rf] = np.sin(t_rf / duration * 2 * np.pi * (side_lobes + 1)) / t_rf
y[idx_rf] = y[idx_rf] / np.max(y[idx_rf])
return y
def adc(t, t_start, duration):
y = np.zeros_like(t)
idx_rf = np.argwhere((t > t_start) & (t < t_start + duration))
idx_rf = idx_rf[:, 0]
y[idx_rf] = 1
y[idx_rf[0]] = np.finfo(np.float32).eps # edges down to zero
y[idx_rf[-1]] = np.finfo(np.float32).eps # edges down to zero
return y
def trapezoid(t, t_start, t_flat_out, t_ramp_down):
""" A symmetrical trapezoid of unit height
Parameters
----------
t : array_like, 1D
Vector of time values, specifying the entire domain of the sequence
t_start : float
Moment in time when the gradient is switched on and starts to linearly ramp up
t_flat_out : float
Moment in time when the gradient is fully on and stays constant after
t_ramp_down : float
Moment in time when the gradient starts to ramp down. Ramp down time in this
function is considered to be the same as the rump up.
Returns
-------
x : np.array, 1D
Array of the same dtype as t, representing the trapezoid gradient
"""
x = np.zeros_like(t)
dt_ramp = t_flat_out - t_start
idx_ramp_up = (t_start < t) & (t <= t_flat_out)
idx_flat = (t_flat_out < t) & (t <= t_ramp_down)
idx_ramp_down = (t_ramp_down < t) & (t <= t_ramp_down + dt_ramp)
x[idx_ramp_up] = (t[idx_ramp_up] - t_start) / dt_ramp
x[idx_flat] = 1
x[idx_ramp_down] = (t_ramp_down - t[idx_ramp_down]) / dt_ramp + 1
return x
| 578 | 0 | 46 |
7affea990ac37fd96e99bc875bf3e170057bccc1 | 6,733 | py | Python | template.py | knightReigh/SinaSpider | dca7cd5e66c32866e2e697603dbfb2ecbb8a62d0 | [
"MIT"
] | 4 | 2018-03-02T11:11:53.000Z | 2019-01-20T00:05:58.000Z | template.py | knightReigh/SinaSpider | dca7cd5e66c32866e2e697603dbfb2ecbb8a62d0 | [
"MIT"
] | null | null | null | template.py | knightReigh/SinaSpider | dca7cd5e66c32866e2e697603dbfb2ecbb8a62d0 | [
"MIT"
] | null | null | null | def tempalte_PinkElegance(timecards, ignore_retweet=True):
""" A builder for template body: PinkElegance
Abandoned for incomplet js generation
Source: https://codepen.io/mo7hamed/pen/dRoMwo
"""
# build body
body_string = ""
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
body_string = body_string + "<li>\n" + "<span></span>\n"
body_string = (body_string + "<div class=\"title\">" + timecards.time[i][:4] + "</div>\n"
+ "<div class=\"info\">" + timecards.content[i] + "</div>\n"
+ "<div class=\"name\">" + meta_string + "</div>\n"
+ "<div class=\"time\">" + "\n<span>" + timecards.time[i][4:6] + "月" + timecards.time[i][6:8] + "日</span>\n"
+ "<span>" + timecards.time[i][8:10] + ":" + timecards.time[i][10:12] + "</span>\n"
+ "</div>")
return body_string
def template_FlexBox(timecards, ignore_retweet=True):
""" A builder for template: FlexBox
CSS broekn somehow
Source: https://codepen.io/paulhbarker/pen/apvGdv
"""
body_string = ""
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
body_string = (body_string
+ "<div class=\"demo-card weibo-card\">\n"
+ "<div class=\"head\">\n"
+ "<div class=\"number-box\">\n"
+ "<span>" + timecards.time[i][6:8] + "</span>\n"
+ "</div>"
+ "<h2><span class=\"small\">" + timecards.time[i][:4] + "年" + timecards.time[i][4:6] + "月" + "</span>"
+ timecards.content[i][:8] + "</h2>\n"
+ "</div>\n"
+ "<div class=\"body\">\n"
+ "<p>" + timecards.content[i][8:] + "\n\n" + meta_string + "</p>\n"
# + "<img src=\"" + timecards.img_src[i] + "\">\n"
+ "</div>\n</div>\n\n")
return body_string
def template_PinkStar(timecards, weibo_url, ignore_retweet=True):
""" A builder for template: FlexBox
Source: https://codepen.io/itbruno/pen/KwarLp
"""
icon_string_star = ('<div class="timeline-icon">\n'
+ '<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" '
+ 'xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="21px" '
+ 'height="20px" viewBox="0 0 21 20" enable-background="new 0 0 21 20" xml:space="preserve">\n'
+ '<path fill="#FFFFFF" d="M19.998,6.766l-5.759-0.544c-0.362-0.032-0.676-0.264-0.822-0.61l-2.064-4.999\n'
+ 'c-0.329-0.825-1.5-0.825-1.83,0L7.476,5.611c-0.132,0.346-0.462,0.578-0.824,0.61L0.894,6.766C0.035,6.848-0.312,7.921,0.333,8.499\n'
+ 'l4.338,3.811c0.279,0.246,0.395,0.609,0.314,0.975l-1.304,5.345c-0.199,0.842,0.708,1.534,1.468,1.089l4.801-2.822\n'
+ 'c0.313-0.181,0.695-0.181,1.006,0l4.803,2.822c0.759,0.445,1.666-0.23,1.468-1.089l-1.288-5.345\n'
+ 'c-0.081-0.365,0.035-0.729,0.313-0.975l4.34-3.811C21.219,7.921,20.855,6.848,19.998,6.766z" />\n'
+ '</svg>\n'
+ '</div>\n')
icon_string_book = ('<div class="timeline-icon">\n'
+ '<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" '
+ '<g>'
+ 'xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="21px" '
+ 'height="20px" viewBox="0 0 21 20" enable-background="new 0 0 21 20" xml:space="preserve">\n'
+ '<path fill="#FFFFFF" d="M17.92,3.065l-1.669-2.302c-0.336-0.464-0.87-0.75-1.479-0.755C14.732,0.008,7.653,0,7.653,0v5.6\n'
+ 'c0,0.096-0.047,0.185-0.127,0.237c-0.081,0.052-0.181,0.06-0.268,0.02l-1.413-0.64C5.773,5.183,5.69,5.183,5.617,5.215l-1.489,0.65\n'
+ 'c-0.087,0.038-0.19,0.029-0.271-0.023c-0.079-0.052-0.13-0.141-0.13-0.235V0H2.191C1.655,0,1.233,0.434,1.233,0.97\n'
+ 'c0,0,0.025,15.952,0.031,15.993c0.084,0.509,0.379,0.962,0.811,1.242l2.334,1.528C4.671,19.905,4.974,20,5.286,20h10.307\n'
+ 'c1.452,0,2.634-1.189,2.634-2.64V4.007C18.227,3.666,18.12,3.339,17.92,3.065z M16.42,17.36c0,0.464-0.361,0.833-0.827,0.833H5.341\n'
+ 'l-1.675-1.089h10.341c0.537,0,0.953-0.44,0.953-0.979V2.039l1.459,2.027V17.36L16.42,17.36z" />\n'
+ '</g>\n'
+ '</svg>\n'
+ '</div>\n')
body_string = ""
RightDirection = False
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
time_string = (timecards.time[i][:4] + '年' + timecards.time[i][4:6] + '月' + timecards.time[i][6:8] + '日'
+ ' ' + timecards.time[i][8:10] + ':' + timecards.time[i][10:12])
body_string = (body_string
+ '<div class="timeline-item">\n'
+ (icon_string_book if RightDirection else icon_string_star + '\n')
+ ('<div class="timeline-content right">\n' if RightDirection else '<div class="timeline-content">\n')
+ '<h2>' + time_string + '</h2>\n'
+ '<p>' + timecards.content[i] + '</p>\n'
+ '<a href="' + weibo_url + '" class="btn">' + meta_string + "</a>"
+ '</div>'
+ '</div>')
RightDirection = not RightDirection
return body_string
| 61.209091 | 157 | 0.477499 | def tempalte_PinkElegance(timecards, ignore_retweet=True):
""" A builder for template body: PinkElegance
Abandoned for incomplet js generation
Source: https://codepen.io/mo7hamed/pen/dRoMwo
"""
# build body
body_string = ""
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
body_string = body_string + "<li>\n" + "<span></span>\n"
body_string = (body_string + "<div class=\"title\">" + timecards.time[i][:4] + "</div>\n"
+ "<div class=\"info\">" + timecards.content[i] + "</div>\n"
+ "<div class=\"name\">" + meta_string + "</div>\n"
+ "<div class=\"time\">" + "\n<span>" + timecards.time[i][4:6] + "月" + timecards.time[i][6:8] + "日</span>\n"
+ "<span>" + timecards.time[i][8:10] + ":" + timecards.time[i][10:12] + "</span>\n"
+ "</div>")
return body_string
def template_FlexBox(timecards, ignore_retweet=True):
""" A builder for template: FlexBox
CSS broekn somehow
Source: https://codepen.io/paulhbarker/pen/apvGdv
"""
body_string = ""
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
body_string = (body_string
+ "<div class=\"demo-card weibo-card\">\n"
+ "<div class=\"head\">\n"
+ "<div class=\"number-box\">\n"
+ "<span>" + timecards.time[i][6:8] + "</span>\n"
+ "</div>"
+ "<h2><span class=\"small\">" + timecards.time[i][:4] + "年" + timecards.time[i][4:6] + "月" + "</span>"
+ timecards.content[i][:8] + "</h2>\n"
+ "</div>\n"
+ "<div class=\"body\">\n"
+ "<p>" + timecards.content[i][8:] + "\n\n" + meta_string + "</p>\n"
# + "<img src=\"" + timecards.img_src[i] + "\">\n"
+ "</div>\n</div>\n\n")
return body_string
def template_PinkStar(timecards, weibo_url, ignore_retweet=True):
""" A builder for template: FlexBox
Source: https://codepen.io/itbruno/pen/KwarLp
"""
icon_string_star = ('<div class="timeline-icon">\n'
+ '<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" '
+ 'xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="21px" '
+ 'height="20px" viewBox="0 0 21 20" enable-background="new 0 0 21 20" xml:space="preserve">\n'
+ '<path fill="#FFFFFF" d="M19.998,6.766l-5.759-0.544c-0.362-0.032-0.676-0.264-0.822-0.61l-2.064-4.999\n'
+ 'c-0.329-0.825-1.5-0.825-1.83,0L7.476,5.611c-0.132,0.346-0.462,0.578-0.824,0.61L0.894,6.766C0.035,6.848-0.312,7.921,0.333,8.499\n'
+ 'l4.338,3.811c0.279,0.246,0.395,0.609,0.314,0.975l-1.304,5.345c-0.199,0.842,0.708,1.534,1.468,1.089l4.801-2.822\n'
+ 'c0.313-0.181,0.695-0.181,1.006,0l4.803,2.822c0.759,0.445,1.666-0.23,1.468-1.089l-1.288-5.345\n'
+ 'c-0.081-0.365,0.035-0.729,0.313-0.975l4.34-3.811C21.219,7.921,20.855,6.848,19.998,6.766z" />\n'
+ '</svg>\n'
+ '</div>\n')
icon_string_book = ('<div class="timeline-icon">\n'
+ '<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" '
+ '<g>'
+ 'xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" width="21px" '
+ 'height="20px" viewBox="0 0 21 20" enable-background="new 0 0 21 20" xml:space="preserve">\n'
+ '<path fill="#FFFFFF" d="M17.92,3.065l-1.669-2.302c-0.336-0.464-0.87-0.75-1.479-0.755C14.732,0.008,7.653,0,7.653,0v5.6\n'
+ 'c0,0.096-0.047,0.185-0.127,0.237c-0.081,0.052-0.181,0.06-0.268,0.02l-1.413-0.64C5.773,5.183,5.69,5.183,5.617,5.215l-1.489,0.65\n'
+ 'c-0.087,0.038-0.19,0.029-0.271-0.023c-0.079-0.052-0.13-0.141-0.13-0.235V0H2.191C1.655,0,1.233,0.434,1.233,0.97\n'
+ 'c0,0,0.025,15.952,0.031,15.993c0.084,0.509,0.379,0.962,0.811,1.242l2.334,1.528C4.671,19.905,4.974,20,5.286,20h10.307\n'
+ 'c1.452,0,2.634-1.189,2.634-2.64V4.007C18.227,3.666,18.12,3.339,17.92,3.065z M16.42,17.36c0,0.464-0.361,0.833-0.827,0.833H5.341\n'
+ 'l-1.675-1.089h10.341c0.537,0,0.953-0.44,0.953-0.979V2.039l1.459,2.027V17.36L16.42,17.36z" />\n'
+ '</g>\n'
+ '</svg>\n'
+ '</div>\n')
body_string = ""
RightDirection = False
for i in range(0, len(timecards.content)):
if ignore_retweet and timecards.content[i].startswith('转发'):
continue
else:
meta_string = ("点赞：" + str(timecards.meta[i]['up_num']) + " 转发：" + str(timecards.meta[i]['retweet_num'])
+ " 评论：" + str(timecards.meta[i]['comment_num']))
time_string = (timecards.time[i][:4] + '年' + timecards.time[i][4:6] + '月' + timecards.time[i][6:8] + '日'
+ ' ' + timecards.time[i][8:10] + ':' + timecards.time[i][10:12])
body_string = (body_string
+ '<div class="timeline-item">\n'
+ (icon_string_book if RightDirection else icon_string_star + '\n')
+ ('<div class="timeline-content right">\n' if RightDirection else '<div class="timeline-content">\n')
+ '<h2>' + time_string + '</h2>\n'
+ '<p>' + timecards.content[i] + '</p>\n'
+ '<a href="' + weibo_url + '" class="btn">' + meta_string + "</a>"
+ '</div>'
+ '</div>')
RightDirection = not RightDirection
return body_string
| 0 | 0 | 0 |
581abe937af4b9203e2451f8eb92730dc67f08f0 | 347 | py | Python | setup.py | thiagodk/python-event-emitter | 3767f852a8151a918a44572af679dfc00d3bff5c | [
"MIT"
] | null | null | null | setup.py | thiagodk/python-event-emitter | 3767f852a8151a918a44572af679dfc00d3bff5c | [
"MIT"
] | null | null | null | setup.py | thiagodk/python-event-emitter | 3767f852a8151a918a44572af679dfc00d3bff5c | [
"MIT"
] | null | null | null |
from distutils.core import setup
setup(
name="event-emitter-js",
version="0.1.2",
description="JavaScript-like EventEmitter class for Python 3",
author="Thiago Costa",
author_email="admin@rootbsd.info",
url="https://github.com/thiagodk/python-event-emitter",
package_dir={"": "src"},
packages=["event_emitter"]
)
| 24.785714 | 66 | 0.680115 |
from distutils.core import setup
setup(
name="event-emitter-js",
version="0.1.2",
description="JavaScript-like EventEmitter class for Python 3",
author="Thiago Costa",
author_email="admin@rootbsd.info",
url="https://github.com/thiagodk/python-event-emitter",
package_dir={"": "src"},
packages=["event_emitter"]
)
| 0 | 0 | 0 |
49dddc3c965ea40abf0f046e4452d7ddf809ce42 | 8,931 | py | Python | apps/core/files/base.py | ZhuoZhuoCrayon/bk-nodeman | 76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab | [
"MIT"
] | null | null | null | apps/core/files/base.py | ZhuoZhuoCrayon/bk-nodeman | 76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab | [
"MIT"
] | null | null | null | apps/core/files/base.py | ZhuoZhuoCrayon/bk-nodeman | 76cb71fcc971c2a0c2be161fcbd6b019d4a7a8ab | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License at https://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
"""
import os
from abc import ABC, abstractmethod
from copy import deepcopy
from typing import Any, Callable, Dict, List, Union
from django.conf import settings
from django.core.exceptions import SuspiciousFileOperation
from django.core.files.storage import Storage
from django.utils.crypto import get_random_string
from django.utils.translation import ugettext_lazy as _
from common.api import JobApi
from . import constants, exceptions, models
| 40.049327 | 115 | 0.624006 | # -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-节点管理(BlueKing-BK-NODEMAN) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License at https://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
"""
import os
from abc import ABC, abstractmethod
from copy import deepcopy
from typing import Any, Callable, Dict, List, Union
from django.conf import settings
from django.core.exceptions import SuspiciousFileOperation
from django.core.files.storage import Storage
from django.utils.crypto import get_random_string
from django.utils.translation import ugettext_lazy as _
from common.api import JobApi
from . import constants, exceptions, models
class StorageFileOverwriteMixin:
file_overwrite = settings.FILE_OVERWRITE
def get_available_name(self, name, max_length=None):
"""重写获取文件有效名称函数，支持在 file_overwrite=True 时不随机生成文件名"""
dir_name, file_name = os.path.split(name)
file_root, file_ext = os.path.splitext(file_name)
def _gen_random_name(_file_root) -> str:
# 在文件名的起始位置添加随机串，源码规则为 "%s_%s%s" % (_file_root, get_random_string(7), file_ext)
# 上述规则对 .tar.gz 不友好，会在类型后缀中间加随机串，所以改为随机串作为前缀
return os.path.join(dir_name, "%s_%s%s" % (get_random_string(7), _file_root, file_ext))
# not self.file_overwrite and self.exists(name) 利用 and 短路特点，如果 file_overwrite=True 就无需校验文件是否存在
while (not self.file_overwrite and self.exists(name)) or (max_length and len(name) > max_length):
# file_ext includes the dot.
name = name if self.file_overwrite else _gen_random_name(file_root)
if max_length is None:
continue
# Truncate file_root if max_length exceeded.
truncation = len(name) - max_length
if truncation > 0:
file_root = file_root[:-truncation]
# Entire file_root was truncated in attempt to find an available filename.
if not file_root:
raise SuspiciousFileOperation(
'Storage can not find an available filename for "%s". '
"Please make sure that the corresponding file field "
'allows sufficient "max_length".' % name
)
name = name if self.file_overwrite else _gen_random_name(file_root)
return name
class BkJobMixin:
@abstractmethod
def _handle_file_source_list(
self, file_source_list: List[Dict[str, Any]], extra_transfer_file_params: Dict[str, Any]
) -> List[Dict[str, Any]]:
"""
预处理源文件列表，添加文件源等信息
:param file_source_list: 源文件
:param extra_transfer_file_params: transfer_files 的其他参数
:return: 源文件对象列表
"""
raise NotImplementedError
@classmethod
def gen_transfer_file_log(cls, file_target_path: str, file_source_list: List[Dict[str, Any]]) -> str:
"""
生成文件分发日志
:param file_target_path: 文件分发目标路径
:param file_source_list: 源文件列表
:return: 日志字符串
"""
third_part_file_source_ids: List[str] = [
file_source["file_source_id"]
for file_source in file_source_list
if file_source.get("file_type") == constants.JobFileType.THIRD_PART.value
]
# 获取第三方文件源信息，判空避免无效IO
if third_part_file_source_ids:
third_part_file_source_infos = models.BKJobFileSource.objects.filter(
file_source_id__in=third_part_file_source_ids
).values("file_source_id", "alias")
file_source_id__info_map = {
third_part_file_source_info["file_source_id"]: third_part_file_source_info
for third_part_file_source_info in third_part_file_source_infos
}
else:
file_source_id__info_map = {}
# 源文件分发日志
files_transfer_log_list: List[str] = []
# 遍历源文件分发列表，一般来说该列表长度为1
for file_source in file_source_list:
file_type = file_source.get("file_type", constants.JobFileType.SERVER.value)
file_type_alias = constants.JobFileType.get_member_value__alias_map().get(file_type, _("未知文件源"))
if file_type == constants.JobFileType.THIRD_PART.value:
source_info_str = _("{file_type_alias}-{file_source_alias}").format(
file_type_alias=file_type_alias,
file_source_alias=file_source_id__info_map[file_source["file_source_id"]]["alias"],
)
elif file_type == constants.JobFileType.SERVER.value:
server_ip_str_set = {
f"{ip_info['bk_cloud_id']}-{ip_info['ip']}" for ip_info in file_source["server"]["ip_list"]
}
source_info_str = _("{file_type_alias}-{server_ips_str}").format(
file_type_alias=file_type_alias, server_ips_str=",".join(server_ip_str_set)
)
else:
source_info_str = _("未知文件源-{file_type}").format(file_type=file_type)
files_transfer_log_list.append(
_("从 [{source_info_str}] 下发文件 [{file_list_str}] 到目标机器路径 [{file_target_path}]").format(
source_info_str=source_info_str,
file_list_str=",".join(file_source.get("file_list")),
file_target_path=file_target_path,
)
)
return "\n".join(files_transfer_log_list)
def process_query_params(
self, job_api_func: Callable[[Dict[str, Any]], Dict[str, Any]], query_params: Dict[str, Any]
) -> Dict[str, Any]:
"""
预处理请求参数
:param job_api_func: JobApi method
:param query_params: 请求参数
:return: 预处理后的参数
"""
# 如果后续预处理的job api增多，考虑拆分逻辑
if job_api_func == JobApi.fast_transfer_file:
query_params = deepcopy(query_params)
query_params["file_source_list"] = self._handle_file_source_list(
file_source_list=query_params.get("file_source_list", []), extra_transfer_file_params=query_params
)
return query_params
def fast_transfer_file(
self,
bk_biz_id: int,
task_name: str,
timeout: int,
account_alias: str,
file_target_path: str,
file_source_list: List[Dict[str, Any]],
target_server: Dict[str, List[Dict[str, Union[str, int]]]],
**kwargs,
) -> str:
"""
分发文件
:param bk_biz_id: 业务ID
:param task_name: 任务名称
:param timeout: 超时时间
:param account_alias: 目标执行账号别名
:param file_target_path: 文件目标路径
:param file_source_list: 源文件路径列表
:param kwargs: 额外的调用参数
:param target_server: 目标服务器
可选：
1. ip_list - 静态IP列表
bk_cloud_id - 云区域ID
ip - IP地址
2. dynamic_group_list - 动态分组ID列表
3. topo_node_list - 动态topo节点列表
id - 动态topo节点ID，对应CMDB API 中的 bk_inst_id
node_type - 动态topo节点类型，对应CMDB API 中的 bk_obj_id,比如"module","set"
target_server 示例
{
"ip_list": [
{"bk_cloud_id": 0, "ip": "127.0.0.1"},
{"bk_cloud_id": 0, "ip": "127.0.0.2"}
]
}
:return: 作业实例ID
"""
base_transfer_file_params = deepcopy(
{
"bk_biz_id": bk_biz_id,
"task_name": task_name,
"timeout": timeout,
"account_alias": account_alias,
"file_target_path": file_target_path,
"target_server": target_server,
**kwargs,
}
)
# 根据文件源对文件路径列表进行处理，并返回源文件对象数组
file_source_list = self._handle_file_source_list(
file_source_list=deepcopy(file_source_list), extra_transfer_file_params=base_transfer_file_params
)
try:
job_instance_id = JobApi.fast_transfer_file(
{"file_source_list": file_source_list, **base_transfer_file_params}
)["job_instance_id"]
except Exception as err:
# 捕获异常并抛出当前层级的异常
raise exceptions.FilesTransferError(_("文件分发错误：err_msg -> {err_msg}").format(err_msg=err))
return job_instance_id
class BaseStorage(StorageFileOverwriteMixin, BkJobMixin, Storage, ABC):
storage_type: str = None
| 374 | 8,124 | 69 |
3fb636122c6c24f5d484d3cabf472d868ae882bf | 2,562 | py | Python | make_alignment_mapper.py | leejz/scripts | ab23af0bac5a5051df83fb9f59f23e7c413fd81a | [
"MIT"
] | 1 | 2021-05-24T06:15:16.000Z | 2021-05-24T06:15:16.000Z | make_alignment_mapper.py | leejz/misc-scripts | ab23af0bac5a5051df83fb9f59f23e7c413fd81a | [
"MIT"
] | 1 | 2015-09-08T16:40:49.000Z | 2015-09-08T16:40:49.000Z | make_alignment_mapper.py | leejz/misc-scripts | ab23af0bac5a5051df83fb9f59f23e7c413fd81a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
--------------------------------------------------------------------------------
Created: Jackson Lee 2012
This script reads in the ecoli reference alignment in a particular format and
generates a mapping file which assigns a sequential count of each base pair to
the current alignment position. Specifically, this script is used to build a
mapping file to convert silva alignments into ecoli position counts for
comparison of data with an alignment reference to the whole 16S structure.
alignment infile format:
a single fasta sequence with header removed formatted into the mapping alignment
outfile format (infile.mapping):
1 1
2 1
3 1
4 2
5 3
etc
--------------------------------------------------------------------------------
usage: make_alignment_mapper.py -a alignment.fasta
"""
#-------------------------------------------------------------------------------
#Header - Linkers, Libs, Constants
from string import strip
#-------------------------------------------------------------------------------
#Body
print "Running..."
#Header - Linkers, Libs, Constants
from string import strip
from argparse import ArgumentParser, RawDescriptionHelpFormatter
import csv
#import pandas as pd
#-------------------------------------------------------------------------------
#function declarations
#-------------------------------------------------------------------------------
#Body
print "Running..."
if __name__ == '__main__':
parser = ArgumentParser(usage = "make_aligment_mapper.py -a alignment.fasta",
description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-a", "--fasta_file", action="store", dest="alignmentfilename",
help="SILVA output fasta FAI")
options = parser.parse_args()
mandatories = ["alignmentfilename"]
for m in mandatories:
if not options.__dict__[m]:
print "\nError: Missing Arguments\n"
parser.print_help()
exit(-1)
alignmentfilename= options.alignmentfilename
outfilename= alignmentfilename+'.mapping'
#open file
with open(alignmentfilename,'U') as alignmentfile, open(outfilename,'w') as outfile:
line=alignmentfile.readline().strip()
columncount=0
ecoli=0
for character in line:
columncount+=1
if character in ['A','T','G','C','U']:
ecoli+=1
outline=str(columncount)+'\t'+str(ecoli)+'\n'
outfile.write(outline)
print "Done!" | 32.846154 | 87 | 0.556987 | #!/usr/bin/env python
"""
--------------------------------------------------------------------------------
Created: Jackson Lee 2012
This script reads in the ecoli reference alignment in a particular format and
generates a mapping file which assigns a sequential count of each base pair to
the current alignment position. Specifically, this script is used to build a
mapping file to convert silva alignments into ecoli position counts for
comparison of data with an alignment reference to the whole 16S structure.
alignment infile format:
a single fasta sequence with header removed formatted into the mapping alignment
outfile format (infile.mapping):
1 1
2 1
3 1
4 2
5 3
etc
--------------------------------------------------------------------------------
usage: make_alignment_mapper.py -a alignment.fasta
"""
#-------------------------------------------------------------------------------
#Header - Linkers, Libs, Constants
from string import strip
#-------------------------------------------------------------------------------
#Body
print "Running..."
#Header - Linkers, Libs, Constants
from string import strip
from argparse import ArgumentParser, RawDescriptionHelpFormatter
import csv
#import pandas as pd
#-------------------------------------------------------------------------------
#function declarations
#-------------------------------------------------------------------------------
#Body
print "Running..."
if __name__ == '__main__':
parser = ArgumentParser(usage = "make_aligment_mapper.py -a alignment.fasta",
description=__doc__,
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument("-a", "--fasta_file", action="store", dest="alignmentfilename",
help="SILVA output fasta FAI")
options = parser.parse_args()
mandatories = ["alignmentfilename"]
for m in mandatories:
if not options.__dict__[m]:
print "\nError: Missing Arguments\n"
parser.print_help()
exit(-1)
alignmentfilename= options.alignmentfilename
outfilename= alignmentfilename+'.mapping'
#open file
with open(alignmentfilename,'U') as alignmentfile, open(outfilename,'w') as outfile:
line=alignmentfile.readline().strip()
columncount=0
ecoli=0
for character in line:
columncount+=1
if character in ['A','T','G','C','U']:
ecoli+=1
outline=str(columncount)+'\t'+str(ecoli)+'\n'
outfile.write(outline)
print "Done!" | 0 | 0 | 0 |
08b20c4bcadfbb49f301222e13604c78dd4fc6ca | 290 | py | Python | jaxns/prior_transforms/__init__.py | fehiepsi/jaxns | 9cf9366f11ace564e21f938edf4d090fb5de137d | [
"Apache-2.0"
] | null | null | null | jaxns/prior_transforms/__init__.py | fehiepsi/jaxns | 9cf9366f11ace564e21f938edf4d090fb5de137d | [
"Apache-2.0"
] | null | null | null | jaxns/prior_transforms/__init__.py | fehiepsi/jaxns | 9cf9366f11ace564e21f938edf4d090fb5de137d | [
"Apache-2.0"
] | null | null | null | from jaxns.prior_transforms.common import *
from jaxns.prior_transforms.deterministic import *
from jaxns.prior_transforms.identifiable import *
from jaxns.prior_transforms.levy import *
from jaxns.prior_transforms.mixture import *
from jaxns.prior_transforms.prior_chain import PriorChain
| 41.428571 | 57 | 0.858621 | from jaxns.prior_transforms.common import *
from jaxns.prior_transforms.deterministic import *
from jaxns.prior_transforms.identifiable import *
from jaxns.prior_transforms.levy import *
from jaxns.prior_transforms.mixture import *
from jaxns.prior_transforms.prior_chain import PriorChain
| 0 | 0 | 0 |
551165f70f57801d8c76d23d9c5de24e83f6ba2f | 2,004 | py | Python | adat/2010/scrape.py | korenmiklos/106 | 9925a2bda18915eb43d7bdd2b54d4d7aa113bc66 | [
"MIT"
] | 1 | 2018-04-07T20:44:45.000Z | 2018-04-07T20:44:45.000Z | adat/2010/scrape.py | korenmiklos/106 | 9925a2bda18915eb43d7bdd2b54d4d7aa113bc66 | [
"MIT"
] | null | null | null | adat/2010/scrape.py | korenmiklos/106 | 9925a2bda18915eb43d7bdd2b54d4d7aa113bc66 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
import re
import csv
OEVK_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/v11.html'
TELEPULES_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/maz/{}/oevk/{}/v12.html'
SZAVAZOKOR_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/maz/{}/taz/{}/v21.html'
TELEPULESNEV_RE = re.compile(r'<i> (.*?) szavazókörei </i>')
OEVK_RE = re.compile(r'/maz/(?P<megye>\d{2})/oevk/(?P<telepules>\d{2})')
TELEPULES_RE = re.compile(r'/maz/(?P<megye>\d{2})/taz/(?P<telepules>\d{3})')
SZAVAZOKOR_RE = re.compile(r'/maz/(\d{2})/taz/(\d{3})/v23-so(\d{3}).html')
if __name__ == '__main__':
datastore = dict(
szavazokor=[],
telepules=[])
oevk_lista = parse_table(requests.get(OEVK_URL).text, OEVK_RE)
for oevk in oevk_lista:
oevk_id = 'M{}/E{}'.format(*oevk)
print(oevk_id)
telepules_lista = parse_table(requests.get(TELEPULES_URL.format(*oevk)).text, TELEPULES_RE)
for telepules in telepules_lista:
telepules_id = 'M{}/T{}'.format(*telepules)
html = requests.get(SZAVAZOKOR_URL.format(*telepules)).text
telepules_nev = TELEPULESNEV_RE.search(html).group(1)
store_telepules(dict(id2010=telepules_id, nev=telepules_nev), datastore['telepules'])
szavazokor_lista = parse_table(html, SZAVAZOKOR_RE)
for kor in szavazokor_lista:
szavazokor_id = 'M{}/T{}/{}'.format(*kor)
datastore['szavazokor'].append(dict(
szavazokor=szavazokor_id,
telepules=telepules_id,
oevk=oevk_id
))
for key in datastore.keys():
write_csv(key, datastore[key])
| 37.811321 | 116 | 0.708084 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
import re
import csv
OEVK_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/v11.html'
TELEPULES_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/maz/{}/oevk/{}/v12.html'
SZAVAZOKOR_URL = 'http://www.valasztas.hu/dyn/pv10vt/vertaj-static/pv10vt/maz/{}/taz/{}/v21.html'
TELEPULESNEV_RE = re.compile(r'<i> (.*?) szavazókörei </i>')
OEVK_RE = re.compile(r'/maz/(?P<megye>\d{2})/oevk/(?P<telepules>\d{2})')
TELEPULES_RE = re.compile(r'/maz/(?P<megye>\d{2})/taz/(?P<telepules>\d{3})')
SZAVAZOKOR_RE = re.compile(r'/maz/(\d{2})/taz/(\d{3})/v23-so(\d{3}).html')
def parse_table(html, regex):
return regex.findall(html)
def store_telepules(telepules, telepules_lista):
if telepules not in telepules_lista:
telepules_lista.append(telepules)
def write_csv(list_name, datastore):
writer = csv.DictWriter(open('{}.csv'.format(list_name), 'w', encoding='utf-8'), fieldnames=datastore[0].keys())
writer.writeheader()
for row in datastore:
writer.writerow(row)
if __name__ == '__main__':
datastore = dict(
szavazokor=[],
telepules=[])
oevk_lista = parse_table(requests.get(OEVK_URL).text, OEVK_RE)
for oevk in oevk_lista:
oevk_id = 'M{}/E{}'.format(*oevk)
print(oevk_id)
telepules_lista = parse_table(requests.get(TELEPULES_URL.format(*oevk)).text, TELEPULES_RE)
for telepules in telepules_lista:
telepules_id = 'M{}/T{}'.format(*telepules)
html = requests.get(SZAVAZOKOR_URL.format(*telepules)).text
telepules_nev = TELEPULESNEV_RE.search(html).group(1)
store_telepules(dict(id2010=telepules_id, nev=telepules_nev), datastore['telepules'])
szavazokor_lista = parse_table(html, SZAVAZOKOR_RE)
for kor in szavazokor_lista:
szavazokor_id = 'M{}/T{}/{}'.format(*kor)
datastore['szavazokor'].append(dict(
szavazokor=szavazokor_id,
telepules=telepules_id,
oevk=oevk_id
))
for key in datastore.keys():
write_csv(key, datastore[key])
| 349 | 0 | 69 |
1e7d873b2c2edc1720e0fa2326aef58203fab3fc | 6,280 | py | Python | tests/types/test_threshold.py | Chuseuiti/cryptoconditions | 9cee492d4a792205b29824399224861841a785b0 | [
"MIT"
] | null | null | null | tests/types/test_threshold.py | Chuseuiti/cryptoconditions | 9cee492d4a792205b29824399224861841a785b0 | [
"MIT"
] | null | null | null | tests/types/test_threshold.py | Chuseuiti/cryptoconditions | 9cee492d4a792205b29824399224861841a785b0 | [
"MIT"
] | null | null | null | from pytest import mark, raises
| 47.938931 | 75 | 0.721019 | from pytest import mark, raises
class TestThresholdSha256:
@mark.parametrize('threshold', (0, 0.1, 'a'))
def test_init_with_invalid_threshold(self, threshold):
from cryptoconditions.types.threshold import ThresholdSha256
with raises(ValueError) as exc:
ThresholdSha256(threshold=threshold)
assert exc.value.args == (
'Threshold must be a integer greater than zero, was: {}'.
format(threshold),
)
def test_add_subcondition_type_error(self):
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256()
with raises(TypeError) as exc:
threshold_obj.add_subcondition(123)
assert exc.value.args == (
'Subconditions must be URIs or objects of type Condition',)
def test_add_subcondition_as_uri(self, minimal_threshold):
from cryptoconditions.types.threshold import ThresholdSha256
from cryptoconditions.fulfillment import Fulfillment
threshold_obj = ThresholdSha256(
threshold=minimal_threshold.json['threshold'])
subfulfillment = Fulfillment.from_json(
minimal_threshold.json['subfulfillments'][0])
subcondition_uri = subfulfillment.condition_uri
threshold_obj.add_subcondition(subcondition_uri)
threshold_obj.serialize_uri == minimal_threshold.fulfillment
def test_add_subcondition_as_object(self, minimal_threshold):
from cryptoconditions.types.threshold import ThresholdSha256
from cryptoconditions.fulfillment import Fulfillment
threshold_obj = ThresholdSha256(
threshold=minimal_threshold.json['threshold'])
subfulfillment = Fulfillment.from_json(
minimal_threshold.json['subfulfillments'][0])
subcondition_object = subfulfillment.condition
threshold_obj.add_subcondition(subcondition_object)
threshold_obj.serialize_uri == minimal_threshold.fulfillment
def test_add_subfulfillment_type_error(self):
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256()
with raises(TypeError) as exc:
threshold_obj.add_subfulfillment(123)
assert exc.value.args == (
'Subfulfillments must be URIs or objects of type Fulfillment',)
def test_add_subfulfillment_as_uri(self, minimal_threshold):
from cryptoconditions.types.threshold import ThresholdSha256
from cryptoconditions.fulfillment import Fulfillment
threshold_obj = ThresholdSha256(
threshold=minimal_threshold.json['threshold'])
subfulfillment = Fulfillment.from_json(
minimal_threshold.json['subfulfillments'][0])
subfulfillment_uri = subfulfillment.serialize_uri()
threshold_obj.add_subfulfillment(subfulfillment_uri)
threshold_obj.serialize_uri == minimal_threshold.fulfillment
def test_add_subfulfillment_as_object(self, minimal_threshold):
from cryptoconditions.types.threshold import ThresholdSha256
from cryptoconditions.fulfillment import Fulfillment
threshold_obj = ThresholdSha256(
threshold=minimal_threshold.json['threshold'])
subfulfillment_object = Fulfillment.from_json(
minimal_threshold.json['subfulfillments'][0])
threshold_obj.add_subfulfillment(subfulfillment_object)
threshold_obj.serialize_uri == minimal_threshold.fulfillment
def test_asn1_dict_payload(self):
from cryptoconditions.exceptions import ValidationError
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256(threshold=1)
with raises(ValidationError) as exc:
threshold_obj.asn1_dict_payload
assert exc.value.args == ('Not enough fulfillments',)
def test_calculate_worst_case_length(self):
from cryptoconditions.types.threshold import ThresholdSha256
cost = ThresholdSha256.calculate_worst_case_length(1, ())
assert cost == float('-inf')
def test_calculate_cost_missing_data_error(self):
from cryptoconditions.exceptions import MissingDataError
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256(threshold=1)
with raises(MissingDataError) as exc:
threshold_obj.calculate_cost()
assert exc.value.args == (
'Insufficient number of subconditions to meet the threshold',)
def test_validate_threshold_not_met(self):
from cryptoconditions.exceptions import ValidationError
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256(threshold=1)
with raises(ValidationError) as exc:
threshold_obj.validate()
assert exc.value.args == ('Threshold not met',)
def test_validate_threshold_exceeded(self, basic_threshold):
from cryptoconditions.exceptions import ValidationError
from cryptoconditions.fulfillment import Fulfillment
from cryptoconditions.types.threshold import ThresholdSha256
threshold_obj = ThresholdSha256(threshold=2)
for subfulfillment in basic_threshold.json['subfulfillments']:
threshold_obj.add_subfulfillment(
Fulfillment.from_json(subfulfillment))
with raises(ValidationError) as exc:
threshold_obj.validate()
assert exc.value.args == ('Fulfillment is not minimal',)
def test_parse_json_with_subconditions(self, minimal_threshold):
from cryptoconditions.fulfillment import Fulfillment
from cryptoconditions.types.threshold import ThresholdSha256
subfulfillment = Fulfillment.from_json(
minimal_threshold.json.pop('subfulfillments')[0])
subcondition_object = subfulfillment.condition
minimal_threshold.json['subconditions'] = [
subcondition_object.to_json()
]
threshold_obj = ThresholdSha256()
threshold_obj.parse_json(minimal_threshold.json)
assert len(threshold_obj.subconditions) == 1
assert (threshold_obj.subconditions[0]['body'].serialize_uri() ==
subfulfillment.condition_uri)
| 5,818 | 406 | 23 |
6170a11e553d643013561b1917d8cbf1a3dc6612 | 1,679 | py | Python | pyjwt_key_fetcher/http_client.py | danmichaelo/pyjwt-key-fetcher | 627faafa6c5f36fbab3ccf9fb77fcbb1917d4109 | [
"BSD-3-Clause"
] | 3 | 2021-05-24T09:47:47.000Z | 2021-06-21T08:07:47.000Z | pyjwt_key_fetcher/http_client.py | danmichaelo/pyjwt-key-fetcher | 627faafa6c5f36fbab3ccf9fb77fcbb1917d4109 | [
"BSD-3-Clause"
] | 1 | 2021-06-21T07:51:34.000Z | 2021-06-21T08:23:31.000Z | pyjwt_key_fetcher/http_client.py | danmichaelo/pyjwt-key-fetcher | 627faafa6c5f36fbab3ccf9fb77fcbb1917d4109 | [
"BSD-3-Clause"
] | 2 | 2021-06-19T18:41:47.000Z | 2021-09-02T16:19:32.000Z | import abc
from json import JSONDecodeError
from typing import Any, Dict
import aiohttp
from pyjwt_key_fetcher.errors import JWTHTTPFetchError
class HTTPClient(abc.ABC):
"""
Abstract base class for HTTP Clients used to fetch the openid-configuration and
JWKs in JSON format.
"""
@abc.abstractmethod
async def get_json(self, url: str) -> Dict[str, Any]:
"""
Get and parse JSON data from a URL.
:param url: The URL to fetch the data from.
:return: The JSON data as a dictionary.
:raise JWTHTTPFetchError: If there's a problem fetching the data.
"""
raise NotImplementedError
class DefaultHTTPClient(HTTPClient):
"""
A default client implemented using aiohttp.
"""
async def get_json(self, url: str) -> Dict[str, Any]:
"""
Get and parse JSON data from a URL.
:param url: The URL to fetch the data from.
:return: The JSON data as a dictionary.
:raise JWTHTTPFetchError: If there's a problem fetching or decoding the data.
"""
if not (url.startswith("https://") or url.startswith("http://")):
raise JWTHTTPFetchError("Unsupported protocol in 'iss'")
try:
async with self.session.get(url) as resp:
data = await resp.json()
if resp.status != 200:
raise JWTHTTPFetchError(f"Failed to fetch or decode {url}")
except (aiohttp.ClientError, JSONDecodeError) as e:
raise JWTHTTPFetchError(f"Failed to fetch or decode {url}") from e
return data
| 29.982143 | 85 | 0.628946 | import abc
from json import JSONDecodeError
from typing import Any, Dict
import aiohttp
from pyjwt_key_fetcher.errors import JWTHTTPFetchError
class HTTPClient(abc.ABC):
"""
Abstract base class for HTTP Clients used to fetch the openid-configuration and
JWKs in JSON format.
"""
@abc.abstractmethod
async def get_json(self, url: str) -> Dict[str, Any]:
"""
Get and parse JSON data from a URL.
:param url: The URL to fetch the data from.
:return: The JSON data as a dictionary.
:raise JWTHTTPFetchError: If there's a problem fetching the data.
"""
raise NotImplementedError
class DefaultHTTPClient(HTTPClient):
"""
A default client implemented using aiohttp.
"""
def __init__(self):
self.session = aiohttp.ClientSession()
async def get_json(self, url: str) -> Dict[str, Any]:
"""
Get and parse JSON data from a URL.
:param url: The URL to fetch the data from.
:return: The JSON data as a dictionary.
:raise JWTHTTPFetchError: If there's a problem fetching or decoding the data.
"""
if not (url.startswith("https://") or url.startswith("http://")):
raise JWTHTTPFetchError("Unsupported protocol in 'iss'")
try:
async with self.session.get(url) as resp:
data = await resp.json()
if resp.status != 200:
raise JWTHTTPFetchError(f"Failed to fetch or decode {url}")
except (aiohttp.ClientError, JSONDecodeError) as e:
raise JWTHTTPFetchError(f"Failed to fetch or decode {url}") from e
return data
| 45 | 0 | 27 |
f3c22e64e7835364d57dd7dacad8aa4de8cdaf49 | 458 | py | Python | src/lewd_cog.py | jupytergirl/Lewdbot | 1044fd08424bd6367e7a8b1a2ed33ed2b9330c1b | [
"MIT"
] | 2 | 2021-08-12T02:03:23.000Z | 2021-08-12T02:19:44.000Z | src/lewd_cog.py | jupytergirl/Lewdbot | 1044fd08424bd6367e7a8b1a2ed33ed2b9330c1b | [
"MIT"
] | null | null | null | src/lewd_cog.py | jupytergirl/Lewdbot | 1044fd08424bd6367e7a8b1a2ed33ed2b9330c1b | [
"MIT"
] | null | null | null | from buttplug.client import ButtplugClient
import discord
from discord.ext import commands
import lewd_manager as lm | 25.444444 | 57 | 0.676856 | from buttplug.client import ButtplugClient
import discord
from discord.ext import commands
import lewd_manager as lm
class LewdCog(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.buttplug_client = ButtplugClient("Lewd Bot")
@commands.command()
async def ping(self, ctx: commands.Context):
await ctx.send("pong!")
@commands.command()
async def test(self, ctx: commands.Context):
pass | 175 | 143 | 23 |
61b7ad7324ad24b52a4494738a06ea629b0d5dc9 | 2,052 | py | Python | example.py | neural-dialogue-metrics/rouge | 0cecc508dfef0415c2611b21ed32629481a0b3f4 | [
"MIT"
] | 18 | 2019-03-18T15:35:18.000Z | 2022-03-23T04:30:12.000Z | example.py | ibrahim85/rouge | 0cecc508dfef0415c2611b21ed32629481a0b3f4 | [
"MIT"
] | 1 | 2019-04-15T07:57:45.000Z | 2019-04-15T07:57:45.000Z | example.py | ibrahim85/rouge | 0cecc508dfef0415c2611b21ed32629481a0b3f4 | [
"MIT"
] | 6 | 2019-04-14T21:57:09.000Z | 2021-03-06T18:05:02.000Z | #!/usr/bin/env python3
"""Examples."""
from rouge import rouge_n_sentence_level
from rouge import rouge_l_sentence_level
from rouge import rouge_n_summary_level
from rouge import rouge_l_summary_level
from rouge import rouge_w_sentence_level
from rouge import rouge_w_summary_level
if __name__ == '__main__':
# The use of sentence level rouges.
reference_sentence = 'the police killed the gunman'.split()
summary_sentence = 'the gunman police killed'.split()
print('Sentence level:')
score = rouge_n_sentence_level(summary_sentence, reference_sentence, 1)
print('ROUGE-1: %f' % score.f1_measure)
_, _, rouge_2 = rouge_n_sentence_level(summary_sentence, reference_sentence, 2)
print('ROUGE-2: %f' % rouge_2)
_, _, rouge_l = rouge_l_sentence_level(summary_sentence, reference_sentence)
print('ROUGE-L: %f' % rouge_l)
_, _, rouge_w = rouge_w_sentence_level(summary_sentence, reference_sentence)
print('ROUGE-W: %f' % rouge_w)
# The use of summary level rouges.
# Each summary is a list of sentences.
reference_sentences = [
'The gunman was shot dead by the police before more people got hurt'.split(),
'This tragedy causes lives of five , the gunman included'.split(),
'The motivation of the gunman remains unclear'.split(),
]
summary_sentences = [
'Police killed the gunman . no more people got hurt'.split(),
'Five people got killed including the gunman'.split(),
'It is unclear why the gunman killed people'.split(),
]
print('Summary level:')
_, _, rouge_1 = rouge_n_summary_level(summary_sentences, reference_sentences, 1)
print('ROUGE-1: %f' % rouge_1)
_, _, rouge_2 = rouge_n_summary_level(summary_sentences, reference_sentences, 2)
print('ROUGE-2: %f' % rouge_2)
_, _, rouge_l = rouge_l_summary_level(summary_sentences, reference_sentences)
print('ROUGE-L: %f' % rouge_l)
_, _, rouge_w = rouge_w_summary_level(summary_sentences, reference_sentences)
print('ROUGE-W: %f' % rouge_w)
| 38 | 85 | 0.714425 | #!/usr/bin/env python3
"""Examples."""
from rouge import rouge_n_sentence_level
from rouge import rouge_l_sentence_level
from rouge import rouge_n_summary_level
from rouge import rouge_l_summary_level
from rouge import rouge_w_sentence_level
from rouge import rouge_w_summary_level
if __name__ == '__main__':
# The use of sentence level rouges.
reference_sentence = 'the police killed the gunman'.split()
summary_sentence = 'the gunman police killed'.split()
print('Sentence level:')
score = rouge_n_sentence_level(summary_sentence, reference_sentence, 1)
print('ROUGE-1: %f' % score.f1_measure)
_, _, rouge_2 = rouge_n_sentence_level(summary_sentence, reference_sentence, 2)
print('ROUGE-2: %f' % rouge_2)
_, _, rouge_l = rouge_l_sentence_level(summary_sentence, reference_sentence)
print('ROUGE-L: %f' % rouge_l)
_, _, rouge_w = rouge_w_sentence_level(summary_sentence, reference_sentence)
print('ROUGE-W: %f' % rouge_w)
# The use of summary level rouges.
# Each summary is a list of sentences.
reference_sentences = [
'The gunman was shot dead by the police before more people got hurt'.split(),
'This tragedy causes lives of five , the gunman included'.split(),
'The motivation of the gunman remains unclear'.split(),
]
summary_sentences = [
'Police killed the gunman . no more people got hurt'.split(),
'Five people got killed including the gunman'.split(),
'It is unclear why the gunman killed people'.split(),
]
print('Summary level:')
_, _, rouge_1 = rouge_n_summary_level(summary_sentences, reference_sentences, 1)
print('ROUGE-1: %f' % rouge_1)
_, _, rouge_2 = rouge_n_summary_level(summary_sentences, reference_sentences, 2)
print('ROUGE-2: %f' % rouge_2)
_, _, rouge_l = rouge_l_summary_level(summary_sentences, reference_sentences)
print('ROUGE-L: %f' % rouge_l)
_, _, rouge_w = rouge_w_summary_level(summary_sentences, reference_sentences)
print('ROUGE-W: %f' % rouge_w)
| 0 | 0 | 0 |
73c1352f66fe4d329735eed601197bbae418e7bb | 8,123 | py | Python | scripts/sisc/paper_plot_thread_scaling_7_pt_const_coeff.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | 7 | 2015-07-14T08:29:14.000Z | 2021-07-30T14:53:13.000Z | scripts/sisc/paper_plot_thread_scaling_7_pt_const_coeff.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | null | null | null | scripts/sisc/paper_plot_thread_scaling_7_pt_const_coeff.py | tareqmalas/girih | 0c126788937d189147be47115703b752235e585c | [
"BSD-3-Clause"
] | 3 | 2016-08-30T01:25:40.000Z | 2017-06-22T05:50:05.000Z | #!/usr/bin/env python
if __name__ == "__main__":
main()
| 31.854902 | 231 | 0.538102 | #!/usr/bin/env python
def main():
import sys
raw_data = load_csv(sys.argv[1])
k_l = set()
for k in raw_data:
k_l.add(get_stencil_num(k))
k_l = list(k_l)
# for ts in ['Naive', 'Dynamic-Intra-Diamond']
for k in k_l:
for is_dp in [1]:
for t in [0, 1]:
plot_lines(raw_data, k, is_dp, t)
def get_stencil_num(k):
# add the stencil operator
if k['Stencil Kernel coefficients'] in 'constant':
if int(k['Stencil Kernel semi-bandwidth'])==4:
stencil = 0
else:
stencil = 1
elif 'no-symmetry' in k['Stencil Kernel coefficients']:
stencil = 5
elif 'sym' in k['Stencil Kernel coefficients']:
if int(k['Stencil Kernel semi-bandwidth'])==1:
stencil = 3
else:
stencil = 4
else:
stencil = 2
return stencil
def plot_lines(raw_data, stencil_kernel, is_dp, t):
from operator import itemgetter
import matplotlib.pyplot as plt
import matplotlib
import pylab
from pylab import arange,pi,sin,cos,sqrt
fig_width = 4.0*0.393701 # inches
fig_height = 1.0*fig_width #* 210.0/280.0#433.62/578.16
fig_size = [fig_width,fig_height]
params = {
'axes.labelsize': 7,
'axes.linewidth': 0.5,
'lines.linewidth': 0.75,
'text.fontsize': 7,
'legend.fontsize': 5,
'xtick.labelsize': 7,
'ytick.labelsize': 7,
'lines.markersize': 3,
'text.usetex': True,
'figure.figsize': fig_size}
pylab.rcParams.update(params)
ts_l = set()
for k in raw_data:
ts_l.add(k['Time stepper orig name'])
ts_l = list(ts_l)
th = set()
for k in raw_data:
th.add(int(k['OpenMP Threads']))
th = list(th)
tb_l = set()
for k in raw_data:
tb_l.add(k['Time unroll'])
tb_l = list(tb_l)
tb_l = map(int,tb_l)
tb_l.sort()
tgs_l = set()
for k in raw_data:
tgs_l.add(k['Thread group size'])
tgs_l = list(tgs_l)
tgs_l = map(int,tgs_l)
tgs_l.sort()
req_fields = [('Thread group size', int), ('WD main-loop RANK0 MStencil/s MAX', float), ('Time stepper orig name', str), ('OpenMP Threads', int), ('MStencil/s MAX', float), ('Time unroll',int), ('Sustained Memory BW', float)]
data = []
for k in raw_data:
tup = {}
# add the general fileds
for f in req_fields:
tup[f[0]] = map(f[1], [k[f[0]]] )[0]
# add the stencil operator
# if k['Stencil Kernel coefficients'] in 'constant':
# if int(k['Stencil Kernel semi-bandwidth'])==4:
# stencil = 0
# else:
# stencil = 1
# elif 'no-symmetry' in k['Stencil Kernel coefficients']:
# stencil = 5
# elif 'sym' in k['Stencil Kernel coefficients']:
# if int(k['Stencil Kernel semi-bandwidth'])==1:
# stencil = 3
# else:
# stencil = 4
# else:
# stencil = 2
# tup['stencil'] = stencil
tup['stencil'] = get_stencil_num(k)
# add the precision information
if k['Precision'] in 'DP':
p = 1
else:
p = 0
tup['Precision'] = p
data.append(tup)
data = sorted(data, key=itemgetter('Time stepper orig name', 'Time unroll', 'Thread group size', 'OpenMP Threads'))
# for i in data: print i
max_single = 0
# fig, ax1 = plt.subplots()
# lns = []
# add power results at points of interest
if t == 1:
p_spt = '40W_26pJ/LUP'
p_1wd = '36W_9pJ/LUP'
p_2wd = '30W_8pJ/LUP'
p_5wd = '22W_6pJ/LUP'
p_10wd = '20W_6pJ/LUP'
marker = 'o'
x = []
y = []
y_m = []
for k in data:
if ( ('Naive' in k['Time stepper orig name']) and (k['stencil']==stencil_kernel) and (k['Precision']==is_dp)):
if k['OpenMP Threads'] == 1 and max_single < k['MStencil/s MAX']/10**3: max_single = k['MStencil/s MAX']/10**3
y_m.append(k['Sustained Memory BW']/10**3)
x.append(k['OpenMP Threads'])
y.append(k['MStencil/s MAX']/10**3)
marker = 'o'
col = 'g'
ts2 = 'Spt.blk.'
if(x) and t==0:
plt.plot(x, y, color=col, marker=marker, linestyle='-', label=ts2)
if(y_m) and t==1:
plt.plot(x, y_m, color=col, marker=marker, linestyle='-', label=ts2)
# plt.annotate(p_spt, xy=(10, y_m[-1]), xytext=(6.25, 35),
# arrowprops=dict(facecolor='black', shrink=0.09, width=0.5, frac=0.2, headwidth=7))
x = []
y = []
y_m = []
perf_str = 'WD main-loop RANK0 MStencil/s MAX'
for k in data:
if ( ('Diamond' in k['Time stepper orig name']) and (k['Thread group size'] == 10) and (k['stencil']==stencil_kernel) and (k['Precision']==is_dp)):
y_m.append(k['Sustained Memory BW']/10**3)
x.append(k['OpenMP Threads'])
y.append(k[perf_str]/10**3)
marker = '*'
markersize = 12
col = 'm'
ts2 = str(10) + 'WD'
if(x) and t==0:
plt.plot(x, y, color=col, marker=marker, markersize=markersize,linestyle='', label=ts2)
if(y_m) and t==1:
plt.plot(x, y_m, color=col, marker=marker, markersize=markersize,linestyle='', label=ts2)
# plt.annotate(p_10wd, xy=(10, y_m[-1]), xytext=(7, 2.5),
# arrowprops=dict(facecolor='black', shrink=0.09, width=0.5, frac=0.1, headwidth=7))
cols = {0:'y', 1:'k', 2:'b', 4:'c', 5:'r', 8:'m'}
markers = {0:'.', 1:'^', 2:'v', 4:'.', 5:'x', 8:'.'}
ann_loc = {1:(6.25,0), 2:(6.25,3), 5:(7,-7)}
if t==1: p_wd = {1:p_1wd, 2:p_2wd, 5:p_5wd}
for tgs in [1,2, 4, 8, 5]:
marker = markers[tgs]
x = []
y = []
y_m = []
for k in data:
if ( ('Diamond' in k['Time stepper orig name']) and (k['Thread group size'] == tgs) and (k['stencil']==stencil_kernel) and (k['Precision']==is_dp) ):
if k['OpenMP Threads'] == 1 and max_single < k[perf_str]/10**3: max_single = k[perf_str]/10**3
y_m.append(k['Sustained Memory BW']/10**3)
x.append(k['OpenMP Threads'])
y.append(k[perf_str]/10**3)
col = cols[tgs]
ts2 = str(tgs) + 'WD'
if(x) and t==0:
plt.plot(x, y, color=col, marker=marker, linestyle='-', label=ts2)
if(y_m) and t==1:
plt.plot(x, y_m, color=col, marker=marker, linestyle='-', label=ts2)
# plt.annotate(p_wd[tgs], xy=(10, y_m[-1]), xytext=(ann_loc[tgs][0], y_m[-1]+ann_loc[tgs][1]),
# arrowprops=dict(facecolor='black', shrink=0.09, width=0.5, frac=0.1, headwidth=7))
# add limits
mem_limit=0
# sus_mem_bw = 36500 #SB
sus_mem_bw = 40 #IB
if stencil_kernel == 0:
mem_limit = sus_mem_bw/16
elif stencil_kernel == 1:
mem_limit = sus_mem_bw/12
elif stencil_kernel == 2:
mem_limit = sus_mem_bw/20
if is_dp == 1: mem_limit = mem_limit / 2
if t == 0:
#plt.plot([1, len(th)], [mem_limit, mem_limit], color='g', linestyle='--', label='Spatial blk. limit')
pass
# add ideal scaling
ideal = [i*max_single for i in th]
if t == 0:
plt.plot(th, ideal, color='k', linestyle='--', label='Ideal scaling')
if t == 0:
title = '7_pt_const_all_methods_perf'
plt.ylabel('GLUP/s')
else:
title = '7_pt_const_all_methods_bw'
plt.ylabel('GBytes/s')
f_name = title
plt.xlabel('Threads')
if t ==0: plt.legend(loc='best')
plt.grid()
pylab.savefig(f_name+'.png', bbox_inches="tight", pad_inches=0.04)
pylab.savefig(f_name+'.pdf', format='pdf', bbox_inches="tight", pad_inches=0)
#plt.show()
plt.clf()
def load_csv(data_file):
from csv import DictReader
with open(data_file, 'rb') as output_file:
data = DictReader(output_file)
data = [k for k in data]
return data
if __name__ == "__main__":
main()
| 7,948 | 0 | 104 |
a8f155a92d85688ba2dfde64076b6a238ae4f072 | 4,646 | py | Python | mbp99/man-meet-woman.py | wang0618/ascii-art | 7ce6f152541716034bf0a22d341a898b17e2865f | [
"MIT"
] | 1 | 2021-08-29T09:52:06.000Z | 2021-08-29T09:52:06.000Z | mbp99/man-meet-woman.py | wang0618/ascii-art | 7ce6f152541716034bf0a22d341a898b17e2865f | [
"MIT"
] | null | null | null | mbp99/man-meet-woman.py | wang0618/ascii-art | 7ce6f152541716034bf0a22d341a898b17e2865f | [
"MIT"
] | null | null | null | # Man meets Woman --mpb99
# https://web.archive.org/web/20000529140001/http://www.geocities.com/Tokyo/Market/4878/animman.htm
duration = 350
name = "Man meets Woman"
a = "\n"
frames = [
" "+a+
" "+a+
" (5)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (4)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (3)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (2)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (1)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" "+a+
" "+a+
" mpb99 "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\ (man)"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\ (man)"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" O"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ()"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ()"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" O"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" (the sun)"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" (the sun)"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 /|"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 |\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 /|"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 |\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ (woman)<cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ (woman)<cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" '' "+a+
"\\()/ ()"+a+
" \\/ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" ''"+a+
"\\()/ ()"+a+
" \\/ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" <\\ mpb99 /\\"+a,
" "+a+
" "+a+
"{) ()"+a+
"\\|\\ ~ <cc>"+a+
"<\\. mpb99 /\\"+a,
" "+a+
" "+a+
" ~ ()"+a+
"\\ ~ <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ~ ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" /cc\\"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" /cc\\"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" -------"+a+
" THE END"+a+
" -------"+a+
" mpb99 "+a,
" "+a+
" -------"+a+
" THE END"+a+
" -------"+a+
" mpb99 "+a,
" "+a+
" "+a+
" "+a+
" "+a+
" mpb99 "+a
]
| 13.951952 | 99 | 0.174774 | # Man meets Woman --mpb99
# https://web.archive.org/web/20000529140001/http://www.geocities.com/Tokyo/Market/4878/animman.htm
duration = 350
name = "Man meets Woman"
a = "\n"
frames = [
" "+a+
" "+a+
" (5)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (4)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (3)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (2)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" (1)"+a+
" "+a+
" mpb99 "+a,
" "+a+
" "+a+
" "+a+
" "+a+
" mpb99 "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" ---------------"+a+
" man meets woman"+a+
" ---------------"+a+
" mpb99 (c) "+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\ (man)"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\ (man)"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" O"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ()"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ()"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" O"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" o"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" ."+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" (the sun)"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" (the sun)"+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () "+a+
"/\\/\\"+a+
" /\\ mpb99"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 /|"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 |\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 /|"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ /cc\\"+a+
" /\\ mpb99 |\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ (woman)<cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ (woman)<cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" '' "+a+
"\\()/ ()"+a+
" \\/ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" ''"+a+
"\\()/ ()"+a+
" \\/ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" /\\ mpb99 /\\"+a,
" "+a+
" "+a+
" () ()"+a+
"/\\/\\ <cc>"+a+
" <\\ mpb99 /\\"+a,
" "+a+
" "+a+
"{) ()"+a+
"\\|\\ ~ <cc>"+a+
"<\\. mpb99 /\\"+a,
" "+a+
" "+a+
" ~ ()"+a+
"\\ ~ <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ~ ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" /cc\\"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" /cc\\"+a+
" mpb99 /\\"+a,
" "+a+
" ?"+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" "+a+
" ()"+a+
" <cc>"+a+
" mpb99 /\\"+a,
" "+a+
" -------"+a+
" THE END"+a+
" -------"+a+
" mpb99 "+a,
" "+a+
" -------"+a+
" THE END"+a+
" -------"+a+
" mpb99 "+a,
" "+a+
" "+a+
" "+a+
" "+a+
" mpb99 "+a
]
| 0 | 0 | 0 |
b4a7e404253c8083fa334300d6e317a0aa8193a2 | 2,511 | py | Python | examples/component.py | YiuRULE/nats.py | 3a78ba4c385e2069daf5ff560aadc30968af1ccd | [
"Apache-2.0"
] | 184 | 2016-02-04T13:51:52.000Z | 2019-05-10T02:36:48.000Z | examples/component.py | YiuRULE/nats.py | 3a78ba4c385e2069daf5ff560aadc30968af1ccd | [
"Apache-2.0"
] | 48 | 2016-01-31T11:45:05.000Z | 2019-05-05T22:00:07.000Z | examples/component.py | YiuRULE/nats.py | 3a78ba4c385e2069daf5ff560aadc30968af1ccd | [
"Apache-2.0"
] | 35 | 2016-01-04T23:03:43.000Z | 2019-04-05T17:56:30.000Z | import asyncio
import time
import os
import signal
import nats
if __name__ == '__main__':
try:
asyncio.run(main())
except:
pass
| 25.363636 | 91 | 0.562724 | import asyncio
import time
import os
import signal
import nats
class Component:
def __init__(self):
self._nc = None
self._done = asyncio.Future()
async def connect(self, *args, **kwargs):
self._nc = await nats.connect(*args, **kwargs)
async def run_forever(self):
await self._done
async def close(self):
await self._nc.close()
if self._done:
self._done.cancel()
asyncio.get_running_loop().stop()
async def subscribe(self, *args, **kwargs):
if 'max_tasks' in kwargs:
sem = asyncio.Semaphore(kwargs['max_tasks'])
callback = kwargs['cb']
async def release(msg):
try:
await callback(msg)
finally:
sem.release()
async def cb(msg):
await sem.acquire()
asyncio.create_task(release(msg))
kwargs['cb'] = cb
# Add some concurrency to the handler.
del kwargs['max_tasks']
return await self._nc.subscribe(*args, **kwargs)
async def publish(self, *args):
await self._nc.publish(*args)
async def main():
c = Component()
await c.connect("nats://localhost:4222")
async def handler(msg):
# Cause some head of line blocking
await asyncio.sleep(0.5)
print(time.ctime(), f"Received on 'test': {msg.data.decode()}")
async def wildcard_handler(msg):
print(time.ctime(), f"Received on '>': {msg.data.decode()}")
await c.subscribe("test", cb=handler, max_tasks=5)
await c.subscribe(">", cb=wildcard_handler)
async def producer(label):
i = 0
while True:
# print(time.ctime(), f"Published {i}")
await c.publish("test", f"{label} :: Hello {i}!".encode())
await asyncio.sleep(0.2)
i += 1
tasks = []
t = asyncio.create_task(producer("A"))
tasks.append(t)
asyncio.create_task(producer("B"))
tasks.append(t)
asyncio.create_task(producer("C"))
tasks.append(t)
def signal_handler():
print("Exiting...")
for task in tasks:
task.cancel()
asyncio.create_task(c.close())
for sig in ('SIGINT', 'SIGTERM'):
asyncio.get_running_loop().add_signal_handler(getattr(signal, sig), signal_handler)
await c.run_forever()
if __name__ == '__main__':
try:
asyncio.run(main())
except:
pass
| 2,155 | -5 | 207 |
dadda3883a72630c7414a7827f85e4bab08a89e0 | 11,096 | py | Python | gcloud/tests/taskflow3/models/taskflow/test_is_manual_intervention_required.py | DomineCore/bk-sops | 1461d7d80d979778cf9dafb62819c3234387fabc | [
"Apache-2.0"
] | 881 | 2019-03-25T02:45:42.000Z | 2022-03-30T09:10:49.000Z | gcloud/tests/taskflow3/models/taskflow/test_is_manual_intervention_required.py | DomineCore/bk-sops | 1461d7d80d979778cf9dafb62819c3234387fabc | [
"Apache-2.0"
] | 3,303 | 2019-03-25T04:18:03.000Z | 2022-03-31T11:52:03.000Z | gcloud/tests/taskflow3/models/taskflow/test_is_manual_intervention_required.py | DomineCore/bk-sops | 1461d7d80d979778cf9dafb62819c3234387fabc | [
"Apache-2.0"
] | 395 | 2019-03-25T02:53:36.000Z | 2022-03-31T08:37:28.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
"""
from django.test import TestCase
from pipeline.engine import states
from gcloud.taskflow3.models import TaskFlowInstance
from gcloud.tests.mock import * # noqa
from gcloud.tests.mock_settings import * # noqa
| 40.794118 | 120 | 0.523342 | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
"""
from django.test import TestCase
from pipeline.engine import states
from gcloud.taskflow3.models import TaskFlowInstance
from gcloud.tests.mock import * # noqa
from gcloud.tests.mock_settings import * # noqa
class IsManualInterventionRequiredTestCase(TestCase):
@classmethod
def setUpClass(cls):
cls.pipeline_instance_descriptor = TaskFlowInstance.pipeline_instance
TaskFlowInstance.pipeline_instance = None
@classmethod
def tearDownClass(cls):
TaskFlowInstance.pipeline_instance = cls.pipeline_instance_descriptor
def _new_taskflow(self):
taskflow = TaskFlowInstance()
setattr(taskflow, "pipeline_instance", MagicMock())
return taskflow
def test_get_task_status_return_false(self):
taskflow = self._new_taskflow()
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": False, "message": "fail"})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
try:
taskflow.is_manual_intervention_required
except ValueError:
pass
def test_root_state_in_exempts_states(self):
for state in [states.CREATED, states.FINISHED, states.REVOKED]:
taskflow = self._new_taskflow()
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": {"state": state}})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertFalse(taskflow.is_manual_intervention_required)
def test_task_is_not_started(self):
taskflow = self._new_taskflow()
taskflow.pipeline_instance.is_started = False
self.assertFalse(taskflow.is_manual_intervention_required)
def test_1_layer_nodes_has_intervention_states(self):
taskflow = self._new_taskflow()
state = {
"id": "0",
"state": states.BLOCKED,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {"id": "2", "state": states.FAILED, "children": {}},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertTrue(taskflow.is_manual_intervention_required)
def test_2_layer_nodes_has_intervention_states(self):
taskflow = self._new_taskflow()
state = {
"id": "0",
"state": states.BLOCKED,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {
"id": "2",
"state": states.RUNNING,
"children": {"3": {"id": "3", "state": states.SUSPENDED, "children": {}}},
},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertTrue(taskflow.is_manual_intervention_required)
def test_3_layer_nodes_without_intervention_states(self):
taskflow = self._new_taskflow()
state = {
"id": "0",
"state": states.BLOCKED,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {
"id": "2",
"state": states.RUNNING,
"children": {
"3": {
"id": "3",
"state": states.RUNNING,
"children": {"4": {"id": "4", "state": states.RUNNING, "children": {}}},
}
},
},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertFalse(taskflow.is_manual_intervention_required)
def test_4_layer_nodes_has_intervention_states(self):
taskflow = self._new_taskflow()
state = {
"id": "0",
"state": states.BLOCKED,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {
"id": "2",
"state": states.RUNNING,
"children": {
"3": {
"id": "3",
"state": states.SUSPENDED,
"children": {"4": {"id": "4", "state": states.RUNNING, "children": {}}},
}
},
},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertTrue(taskflow.is_manual_intervention_required)
def test_without_running_nodes(self):
taskflow = self._new_taskflow()
state = {
"id": "0",
"state": states.REVOKED,
"children": {
"1": {"id": "1", "state": states.FINISHED, "children": {}},
"2": {
"id": "2",
"state": states.FINISHED,
"children": {
"3": {
"id": "3",
"state": states.FINISHED,
"children": {"4": {"id": "4", "state": states.FINISHED, "children": {}}},
}
},
},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertFalse(taskflow.is_manual_intervention_required)
def test_without_running_intervention_required_nodes(self):
taskflow = self._new_taskflow()
taskflow.pipeline_tree
taskflow.pipeline_instance.execution_data = {
"activities": {
"1": {"id": "1", "type": "ServiceActivity", "component": {"code": "sleep_timer"}},
"2": {"id": "2", "type": "ServiceActivity", "component": {"code": "another_node"}},
}
}
state = {
"id": "0",
"state": states.RUNNING,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {"id": "2", "state": states.RUNNING, "children": {}},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertFalse(taskflow.is_manual_intervention_required)
def test_has_running_intervention_required_nodes(self):
taskflow = self._new_taskflow()
taskflow.pipeline_tree
taskflow.pipeline_instance.execution_data = {
"activities": {
"1": {"id": "1", "type": "ServiceActivity", "component": {"code": "sleep_timer"}},
"2": {"id": "2", "type": "ServiceActivity", "component": {"code": "pause_node"}},
}
}
state = {
"id": "0",
"state": states.RUNNING,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {"id": "2", "state": states.RUNNING, "children": {}},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertTrue(taskflow.is_manual_intervention_required)
def test_has_deep_running_intervention_required_nodes(self):
taskflow = self._new_taskflow()
taskflow.pipeline_tree
taskflow.pipeline_instance.execution_data = {
"activities": {
"1": {"id": "1", "type": "ServiceActivity", "component": {"code": "sleep_timer"}},
"2": {
"id": "2",
"type": "SubProcess",
"pipeline": {
"activities": {
"3": {
"id": "3",
"type": "SubProcess",
"pipeline": {
"activities": {
"4": {"id": "4", "type": "ServiceActivity", "component": {"code": "pause_node"}}
}
},
}
}
},
},
}
}
state = {
"id": "0",
"state": states.RUNNING,
"children": {
"1": {"id": "1", "state": states.RUNNING, "children": {}},
"2": {
"id": "2",
"state": states.RUNNING,
"children": {
"3": {
"id": "3",
"state": states.RUNNING,
"children": {"4": {"id": "4", "state": states.RUNNING, "children": {}}},
}
},
},
},
}
dispatcher = MagicMock()
dispatcher.get_task_status = MagicMock(return_value={"result": True, "data": state})
with patch(TASKFLOW_MODEL_TASK_COMMAND_DISPATCHER, MagicMock(return_value=dispatcher)):
self.assertTrue(taskflow.is_manual_intervention_required)
| 9,683 | 443 | 23 |
b18bc123d4ddc09fe79be6fe8745b752b8c62111 | 341 | py | Python | example1/data/analyse.py | eocarragain/bagit-ro | f5fca3abad60c86b3c4f95948b5d64c3bc8e51c6 | [
"BSD-2-Clause"
] | 18 | 2016-03-01T14:57:37.000Z | 2020-06-07T08:01:57.000Z | example1/data/analyse.py | eocarragain/bagit-ro | f5fca3abad60c86b3c4f95948b5d64c3bc8e51c6 | [
"BSD-2-Clause"
] | 2 | 2016-04-22T09:45:24.000Z | 2017-04-21T08:43:55.000Z | example1/data/analyse.py | ResearchObject/bagit-ro-ex1 | 7f6daf3eaa3350e6b448ef051654ace56b962432 | [
"BSD-2-Clause"
] | 7 | 2016-05-09T23:00:12.000Z | 2020-06-07T08:01:59.000Z | #!/usr/bin/env python
import csv,sys
numbers = csv.reader(open(sys.argv[1]))
drinkers = []
for row in numbers:
if row[0] == "Name": continue # header row.. right?
name = row[0]
cups = sum(map(int, row[1:]))
drinkers.append([cups, name])
drinkers.sort()
drinkers.reverse()
for (cups, name) in drinkers:
print cups, name
| 21.3125 | 55 | 0.639296 | #!/usr/bin/env python
import csv,sys
numbers = csv.reader(open(sys.argv[1]))
drinkers = []
for row in numbers:
if row[0] == "Name": continue # header row.. right?
name = row[0]
cups = sum(map(int, row[1:]))
drinkers.append([cups, name])
drinkers.sort()
drinkers.reverse()
for (cups, name) in drinkers:
print cups, name
| 0 | 0 | 0 |
430cc71029ad99febeeaf34c105278f118d09773 | 4,596 | py | Python | tests/test_feature_extractor.py | sassy/budoux | e2a3698b529b1d748d0c4268b7628fb6210c42fc | [
"Apache-2.0"
] | null | null | null | tests/test_feature_extractor.py | sassy/budoux | e2a3698b529b1d748d0c4268b7628fb6210c42fc | [
"Apache-2.0"
] | null | null | null | tests/test_feature_extractor.py | sassy/budoux | e2a3698b529b1d748d0c4268b7628fb6210c42fc | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests methods for the feature extractor."""
import unittest
import os
from pathlib import Path
from context import feature_extractor, utils
SOURCE_FILE_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'source_test.txt'))
ENTRIES_FILE_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'entries_test.txt'))
if __name__ == '__main__':
unittest.main()
| 29.461538 | 79 | 0.6151 | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests methods for the feature extractor."""
import unittest
import os
from pathlib import Path
from context import feature_extractor, utils
SOURCE_FILE_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'source_test.txt'))
ENTRIES_FILE_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'entries_test.txt'))
class TestFeatureExtractor(unittest.TestCase):
def setUp(self):
Path(ENTRIES_FILE_PATH).touch()
self.test_entry = f'これは{utils.SEP}美しい{utils.SEP}ペンです。'
with open(SOURCE_FILE_PATH, 'w') as f:
f.write(self.test_entry)
def test_unicode_block_index(self):
def check(character, block):
self.assertEqual(feature_extractor.unicode_block_index(character), block)
check('a', 1) # 'a' falls the 1st block 'Basic Latin'.
check('あ', 108) # 'あ' falls the 108th block 'Hiragana'.
check('安', 120) # '安' falls the 120th block 'Kanji'.
def test_get_feature(self):
feature = feature_extractor.get_feature(
'a', 'b', 'c', 'd', 'e', 'f', 'x', 'y' ,'z')
self.assertSetEqual(set(feature), {
# Unigram of Words (UW)
'UW1:a',
'UW2:b',
'UW3:c',
'UW4:d',
'UW5:e',
'UW6:f',
# Unigram of Previous Results (UP)
'UP1:x',
'UP2:y',
'UP3:z',
# Unigram of Unicode Blocks (UB)
'UB1:001',
'UB2:001',
'UB3:001',
'UB4:001',
'UB5:001',
'UB6:001',
# Combination of UW and UP
'UQ1:x001',
'UQ2:y001',
'UQ3:z001',
# Bigram of Words (BW), Previous Results (BP), Unicode Blocks (BB), and
# its combination (BQ)
'BW1:bc',
'BW2:cd',
'BW3:de',
'BP1:xy',
'BP2:yz',
'BB1:001001',
'BB2:001001',
'BB3:001001',
'BQ1:y001001',
'BQ2:y001001',
'BQ3:z001001',
'BQ4:z001001',
# Trigram of Words (BW), Previous Results (BP), Unicode Blocks (BB), and
# its combination (BQ)
'TW1:abc',
'TW2:bcd',
'TW3:cde',
'TW4:def',
'TB1:001001001',
'TB2:001001001',
'TB3:001001001',
'TB4:001001001',
'TQ1:y001001001',
'TQ2:y001001001',
'TQ3:z001001001',
'TQ4:z001001001',
}, 'Features should be extracted.')
feature = feature_extractor.get_feature(
'', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a')
self.assertIn('UW1:', feature,
'The word feature should be blank for a blank string.')
self.assertIn('UB1:999', feature,
'The Unicode block feature should be 999 for a blank string.')
feature = feature_extractor.get_feature(
'a', 'a', 'a', '', '', '', 'b', 'b', 'b')
self.assertNotIn('UW4:', feature,
'UW features that implicate the end of line should not be included.')
self.assertNotIn('UB4:999', feature,
'UB features that implicate the end of line should not be included.')
self.assertNotIn('BB3:999999', feature,
'BB features that implicate the end of line should not be included.')
def test_process(self):
feature_extractor.process(SOURCE_FILE_PATH, ENTRIES_FILE_PATH)
with open(ENTRIES_FILE_PATH) as f:
entries = f.read().splitlines()
test_sentence = ''.join(self.test_entry.split(utils.SEP))
self.assertEqual(len(entries), len(test_sentence) - 2,
'The first two characters\' ends should not be examined.')
print(entries)
labels = [int(entry.split('\t')[0]) for entry in entries]
self.assertListEqual(labels, [
1, # は
-1, # 美
-1, # し
1, # い
-1, # ペ
-1, # ン
-1, # で
-1, # す
1 # 。
], 'The first column of entries should be labels.')
features = [set(entry.split('\t')[1:]) for entry in entries]
self.assertIn('UW3:美', features[1])
self.assertIn('UW3:し', features[2])
self.assertIn('UW3:い', features[3])
self.assertIn('UW3:。', features[-1])
def tearDown(self):
os.remove(SOURCE_FILE_PATH)
os.remove(ENTRIES_FILE_PATH)
if __name__ == '__main__':
unittest.main()
| 3,513 | 25 | 148 |
39160b61fde98578e8fd5227bd652487216405b5 | 89,488 | py | Python | CGATReport/Plugins/Plotter.py | AndreasHeger/CGATReport | 681e198cd13ef533f1c496645a1754b2e0829232 | [
"MIT"
] | 9 | 2015-02-14T16:53:58.000Z | 2022-01-03T20:22:42.000Z | CGATReport/Plugins/Plotter.py | AndreasHeger/CGATReport | 681e198cd13ef533f1c496645a1754b2e0829232 | [
"MIT"
] | 26 | 2015-01-29T15:39:02.000Z | 2018-02-14T09:04:21.000Z | CGATReport/Plugins/Plotter.py | AndreasHeger/CGATReport | 681e198cd13ef533f1c496645a1754b2e0829232 | [
"MIT"
] | 4 | 2015-11-25T17:11:11.000Z | 2022-01-03T20:22:45.000Z | """Mixin classes for Renderers that plot.
"""
from __future__ import unicode_literals
import os
import re
import math
import itertools
import datetime
import pandas
from CGATReport.ResultBlock import ResultBlock, ResultBlocks
from CGATReport.Plugins.Renderer import Renderer, NumpyMatrix, TableMatrix
from CGATReport.DataTree import path2str, str2path, path2key
from CGATReport import DataTree, Stats, Utils
from collections import OrderedDict as odict
from docutils.parsers.rst import directives
import numpy
import matplotlib
# matplotlib.use('Agg', warn=False)
# This does not work:
# Matplotlib might be imported beforehand? plt.switch_backend did not
# change the backend. The only option I found was to change my own
# matplotlibrc.
import matplotlib.colors
import matplotlib.pyplot as plt
# For Rstyle plotting, previously used the snippets from:
# see http://messymind.net/2012/07/making-matplotlib-look-like-ggplot/
# now using seaborn
try:
import seaborn
HAS_SEABORN = True
except ImportError:
HAS_SEABORN = False
# Python 3 Compatibility
try:
import matplotlib_venn
except ImportError:
matplotlib_venn = None
def parseRanges(r):
'''given a string in the format "x,y",
return a tuple of values (x,y).
missing values are set to None.
'''
if not r:
return r
r = [x.strip() for x in r.split(",")]
if r[0] == "":
r[0] = None
else:
r[0] = float(r[0])
if r[1] == "":
r[1] = None
else:
r[1] = float(r[1])
return r
class Plotter(object):
"""Base class for Renderers that do simple 2D plotting.
This mixin class provides convenience function for
:class:`Renderer.Renderer` classes that do 2D plotting.
The base class takes care of counting the plots created,
provided that the methods:meth:`startPlot` and:meth:`endPlot`
are called appropriately. It then inserts the appropriate place holders.
This class adds the following options to the:term:`report` directive:
:term:`logscale`: apply logscales one or more axes.
:term:`xtitle`: add a label to the X axis
:term:`ytitle`: add a label to the Y axis
:term:`title`: title of the plot
:term:`add-title`: add title to each plot
:term:`legend-location`: specify the location of the legend
:term:`xrange`: restrict plot a part of the x-axis
:term:`yrange`: restrict plot a part of the y-axis
:term:`function`: add a function to the plot. Multiple
functions can be supplied as a comma-separated list.
If functions are separated by a |, then they will
be plotted on each separately in order, recycling if
necessary
:term:`vline`: add one or more vertical lines to the
plot.
:term:`xformat`: label for X axis
:term:`yformat`: label for Y axis
:term:`no-tight`: do not attempt a tight layout
(see ``matplotlib.pyplot.tight_layout()``)
With some plots default layout options will result in plots
that are misaligned (legends truncated, etc.). To fix this it might
be necessary to increase plot size, reduce font size, or others.
The following options will be passed on the matplotlib to permit
this control.
:term:`mpl-figure`: options for matplotlib
``figure`` calls().
:term:`mpl-legend`: options for matplotlib
``legend`` calls().
:term:`mpl-subplot`: options for matplotlib
``subplots_adjust`` calls().
:term:`mpl-rc`: general environment settings for matplotlib.
See the matplotlib documentation. Multiple options can be
separated by ;, for example
``:mpl-rc: figure.figsize=(20,10);legend.fontsize=4``
:term:`xticks-max-chars`: if the number of characters on the
tick-labels on the X-axis exceed this value, the labels
will be replaced by shorter version. See :term:`xticks-action`.
If set to 0, no truncation will be performed.
:term:`xticks-action`: action to perform it tick-labels are to long.
Valid values are ``truncate-start`` and ``truncate-end`` to truncate
from the start or end of the label, respectively; ``numbers`` to
replace the values with numbers.
"""
mLegendFontSize = 8
# number of chars to use to reduce legend font size
mMaxLegendSize = 100
# maximum number of rows per column. If there are more,
# the legend is split into multiple columns
mLegendMaxRowsPerColumn = 30
options = (
('logscale', directives.unchanged),
('title', directives.unchanged),
('add-title', directives.flag),
('xtitle', directives.unchanged),
('ytitle', directives.unchanged),
('xrange', directives.unchanged),
('yrange', directives.unchanged),
('zrange', directives.unchanged),
('function', directives.unchanged),
('vline', directives.unchanged),
('mpl-figure', directives.unchanged),
('mpl-legend', directives.unchanged),
('mpl-subplot', directives.unchanged),
('mpl-rc', directives.unchanged),
('legend-location', directives.unchanged),
('xformat', directives.unchanged),
('yformat', directives.unchanged),
('no-tight', directives.flag), # currently ignored
('tight', directives.flag),
('xticks-action', directives.unchanged),
('xticks-max-chars', directives.length_or_unitless),
('xticks-rotation', directives.length_or_unitless),
)
if HAS_SEABORN:
format_colors = seaborn.color_palette() # "bgrcmk"
else:
format_colors = "bgrcmk"
format_markers = "so^>dph8+x"
format_lines = ('-', ':', '--')
mPatterns = [None, '/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*']
# maximum number of characters in X ticks
# If 0, do not perform any action
xticks_max_length = 10
# xticks rotation
xticks_rotation = 0
# action to perform when X ticks are longer than maximum.
# Options are "truncate-start", "truncate-end", "number"
xticks_action = "truncate-start"
def __init__(self, *args, **kwargs):
"""parse option arguments."""
self.mFigure = 0
self.logscale = kwargs.get("logscale", None)
self.title = kwargs.get("title", None)
self.add_title = "add-title" in kwargs
self.xlabel = kwargs.get("xtitle", None)
self.ylabel = kwargs.get("ytitle", None)
self.functions = kwargs.get("function", None)
self.vline = kwargs.get("vline", None)
self.tight_layout = 'tight' in kwargs
if self.functions:
if "," in self.functions and "|" in self.functions:
raise ValueError(
"functions need to be separated by , or |, not both")
self.all_functions_per_plot = True
if "," in self.functions:
self.functions = self.functions.split(",")
elif "|" in self.functions:
self.all_functions_per_plot = False
self.functions = self.functions.split("|")
else:
self.functions = [self.functions]
# substitute '-' in CGATReport-speak for ' ' in matplotlib speak
self.legend_location = re.sub(
"-", " ", kwargs.get("legend-location", "upper right"))
# ("outer-top"))
self.xrange = parseRanges(kwargs.get("xrange", None))
self.yrange = parseRanges(kwargs.get("yrange", None))
self.zrange = parseRanges(kwargs.get("zrange", None))
self.xformat = kwargs.get("xformat", None)
self.yformat = kwargs.get("yformat", None)
self.xticks_max_length = int(kwargs.get('xticks-max-chars',
self.xticks_max_length))
self.xticks_action = kwargs.get('xticks-action',
'number')
self.xticks_rotation = kwargs.get('xticks-rotation', 0)
if self.xticks_action not in ('number',
'truncate-start',
'truncate-end'):
raise ValueError(
"unknown option for xticks-action: '%s'" %
self.xticks_action)
self.mMPLFigureOptions = setupMPLOption("mpl-figure")
self.mMPLLegendOptions = setupMPLOption("mpl-legend")
self.mMPLSubplotOptions = setupMPLOption("mpl-subplot")
self.mMPLRC = setupMPLOption("mpl-rc")
def startPlot(self, **kwargs):
"""prepare everything for a plot.
returns the current figure.
"""
# setting rc parameters disabled in order not interfere with seaborn
# aesthetics
# go to defaults
# matplotlib.rcdefaults()
# set parameters
# if self.mMPLRC:
# self.debug("extra plot options: %s" % str(self.mMPLRC))
# matplotlib.rcParams.update(self.mMPLRC)
self.mCurrentFigure = plt.figure(**self.mMPLFigureOptions)
if self.title:
plt.title(self.title)
return self.mCurrentFigure
def wrapText(self, text, cliplen=20, separators=":_"):
"""wrap around text using the mathtext.
Currently this subroutine uses the \frac directive, so it is
not pretty. returns the wrapped text.
"""
# split txt into two equal parts trying
# a list of separators
newtext = []
for txt in text:
t = len(txt)
if t > cliplen:
for s in separators:
parts = txt.split(s)
if len(parts) < 2:
continue
c = 0
tt = t // 2
# collect first part such that length is
# more than half
for x, p in enumerate(parts):
if c > tt:
break
c += len(p)
# accept if a good split (better than 2/3)
if float(c) / t < 0.66:
newtext.append(r"$\mathrm{\frac{ %s }{ %s }}$" %
(s.join(parts[:x]), s.join(parts[x:])))
break
else:
newtext.append(txt)
return newtext
def endPlot(self, plts, legends, path):
"""close plots.
This method performs common post-processing options on
matplotlib rendered plots:
* rescaling the axes
* legend placement and formatting
* adding a function to the plot
returns blocks of restructured text with place holders for the
figure.
"""
if not plts:
return ResultBlocks()
figure_key = path2key(path)
# convert to log-scale
ax = plt.gca()
# set logscale before the xlim, as it re-scales the plot.
if self.logscale:
xlim = ax.get_xlim()
ylim = ax.get_ylim()
if "x" in self.logscale:
try:
ax.set_xscale('log')
# rescale: log plots does not autoscale well if
# negative values scale manually - needs to be
# overridden by the user if small values are to be
# expected
if xlim[0] < 0:
ax.set_xlim((0.01, None))
except OverflowError:
ax.set_xscale('linear')
if "y" in self.logscale:
try:
ax.set_yscale('log')
# rescale: log plots does not autoscale well if
# negative values scale manually - needs to be
# overridden by the user if small values are to be
# expected
if ylim[0] < 0:
ax.set_ylim((0.01, None))
except OverflowError:
ax.set_yscale('linear')
ax.relim()
# truncate plot
if self.xrange:
plt.xlim(self.xrange)
if self.yrange:
plt.ylim(self.yrange)
# add additional plot elements
if self.functions:
xstart, xend = ax.get_xlim()
increment = (xend - xstart) / 100.0
if self.all_functions_per_plot:
for function in self.functions:
f = eval("lambda x: %s" % function)
xvals = numpy.arange(xstart, xend, increment)
yvals = [f(x) for x in xvals]
plt.plot(xvals, yvals)
else:
function = self.functions[
self.get_figure_id() % len(self.functions)]
f = eval("lambda x: %s" % function)
xvals = numpy.arange(xstart, xend, increment)
yvals = [f(x) for x in xvals]
plt.plot(xvals, yvals)
if self.vline:
ystart, yend = ax.get_ylim()
lines = []
for l in self.vline.split(","):
l = l.strip()
if l == "today":
l = datetime.datetime.now().toordinal()
else:
l = int(l)
lines.append(l)
ax.vlines(lines, ystart, yend)
# add labels and titles
if self.add_title:
plt.suptitle(DataTree.path2str(path))
if self.xlabel:
plt.xlabel(self.xlabel)
if self.ylabel:
plt.ylabel(self.ylabel)
# change x/y labels
# change x/y axis formatter
if self.xformat:
if self.xformat.startswith('date'):
xlim = ax.get_xlim()
if xlim[0] < 1:
raise ValueError(
"date value out of range - needs to larger than 1")
ax.xaxis_date()
loc = matplotlib.dates.AutoDateLocator()
ax.xaxis.set_major_locator(loc)
fmt = self.xformat[5:].strip()
if not fmt:
fmt = '%Y-%m-%d'
ax.xaxis.set_major_formatter(
matplotlib.dates.AutoDateFormatter(loc,
defaultfmt=fmt))
if self.yformat:
if self.yformat.startswith('date'):
ylim = ax.get_ylim()
if ylim[0] < 1:
raise ValueError(
"date value out of range - needs to larger than 1")
ax.yaxis_date()
loc = matplotlib.dates.AutoDateLocator()
ax.yaxis.set_major_locator(loc)
fmt = self.yformat[5:].strip()
if not fmt:
fmt = '%Y-%m-%d'
ax.yaxis.set_major_formatter(
matplotlib.dates.AutoDateFormatter(loc,
defaultfmt=fmt))
# If longest label on X-axis is larger than
# threshold, either truncate, summarize or
# map.
# modifying labels in place did not work as
# set_xticklabels expects strings, not Text attributes,
# so work with text directly:
preamble, postamble = "", ""
xlabels = [x.get_text() for x in ax.get_xticklabels()]
if xlabels and self.xticks_max_length > 0:
max_len = max([len(x) for x in xlabels])
if max_len > self.xticks_max_length:
if self.xticks_action.startswith("truncate"):
if self.xticks_action == "truncate-end":
f = lambda x, txt: txt[:self.xticks_max_length]
elif self.xticks_action == "truncate-start":
f = lambda x, txt: txt[-self.xticks_max_length:]
new_labels = [f(x, y) for x, y in enumerate(xlabels)]
elif self.xticks_action == "number":
# Use chars starting at 'A' for labels
nchars = int(math.ceil(len(xlabels) / 26.0))
new_labels = ["".join(x) for x in itertools.product(
"ABCDEFGHIJKLMNOPQRSTUVWXYZ",
repeat=nchars)]
new_labels = new_labels[:len(xlabels)]
else:
raise ValueError(
"unkown xtick-action: {}".format(self.xticks_action))
postamble = "\n" + "\n".join(
["* %s: %s" % (x, y)
for x, y in zip(new_labels, xlabels)])
ax.set_xticklabels(new_labels)
if self.xticks_rotation:
for tick in ax.get_xticklabels():
tick.set_rotation(self.xticks_rotation)
blocks = ResultBlocks(
ResultBlock(
text="#$mpl {}.{}$#\n".format(figure_key, self.get_figure_id()),
title=DataTree.path2str(path),
preamble=preamble,
postamble=postamble))
legend = None
maxlen = 0
# In matplotlib version < 1.1, the output of plotting was
# a single element. In later versions, the output is a tuple
# so take first element.
if type(plts[0]) in (tuple, list):
plts = [x[0] for x in plts]
# convert to string
if legends:
legends = normalize_legends(legends)
if self.legend_location != "none" and plts and legends:
maxlen = max([len(x) for x in legends])
# legends = self.wrapText(legends)
assert len(plts) == len(legends)
if self.legend_location.startswith("outer"):
legend = outer_legend(plts,
legends,
loc=self.legend_location,
ncol=1,
)
else:
ax.legend(plts,
legends,
loc=self.legend_location,
ncol=1,
**self.mMPLLegendOptions)
if self.legend_location == "extra" and legends:
blocks.append(
ResultBlock("\n".join(
("#$mpl {}.{}$#".format(figure_key, self.get_figure_id())),
"",
"legend")))
legend = plt.figure(**self.mMPLFigureOptions)
lx = legend.add_axes((0.1, 0.1, 0.9, 0.9))
lx.set_title("Legend")
lx.set_axis_off()
plt.setp(lx.get_xticklabels(), visible=False)
if not plts:
plts = []
for x in legends:
plts.append(plt.plot((0,), (0,)))
lx.legend(
plts, legends,
'center left',
ncol=max(
1, int(math.ceil(float(len(legends) /
self.mLegendMaxRowsPerColumn)))),
**self.mMPLLegendOptions)
# smaller font size for large legends
if legend and maxlen > self.mMaxLegendSize:
# all the text.Text instance in the legend
ltext = legend.get_texts()
plt.setp(ltext, fontsize='small')
if self.mMPLSubplotOptions:
# apply subplot options - useful even if there are no subplots in
# order to set figure margins.
plt.subplots_adjust(**self.mMPLSubplotOptions)
# disabled: tight_layout not working well sometimes
# causing plots to display compressed
if self.tight_layout:
try:
plt.tight_layout()
except ValueError:
# some plots (with large legends) receive
# ValueError("bottom cannot be >= top")
pass
return blocks
def rescaleForVerticalLabels(self, labels, offset=0.02, cliplen=6):
"""rescale current plot so that vertical labels are displayed
properly.
In some plots the labels are clipped if the labels are
vertical labels on the X-axis. This is a heuristic hack and
is not guaranteed to always work.
"""
# rescale plotting area if labels are more than 6 characters
if len(labels) == 0:
return
maxlen = max([len(str(x)) for x in labels])
if maxlen > cliplen:
currentAxes = plt.gca()
currentAxesPos = currentAxes.get_position()
# scale plot by 2% for each extra character
# scale at most 30% as otherwise the plot will
# become illegible (and matplotlib might crash)
offset = min(0.3, offset * (maxlen - cliplen))
# move the x-axis up
currentAxes.set_position((currentAxesPos.xmin,
currentAxesPos.ymin + offset,
currentAxesPos.width,
currentAxesPos.height - offset))
class PlotterMatrix(Plotter):
"""Plot a matrix.
This mixin class provides convenience function
for:class:`Renderer.Renderer` classes that plot matrices.
This class adds the following options to the:term:`report` directive:
:term:`colorbar-format`: numerical format for the colorbar.
:term:`palette`: numerical format for the colorbar.
:term:`reverse-palette`: invert palette
:term:`max-rows`: maximum number of rows per plot
:term:`max-cols`: maximum number of columns per plot
:term:`nolabel-rows`: do not add row labels
:term:`nolabel-cols`: do not add column labels
"""
mFontSize = 8
# after # characters, split into two
# lines
mSplitHeader = 20
mFontSizeSplit = 8
# separators to use to split text
mSeparators = ":_"
options = Plotter.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('split-rows', directives.unchanged),
('split-cols', directives.unchanged),
('colorbar-format', directives.unchanged),
('nolabel-rows', directives.flag),
('nolabel-cols', directives.flag),
)
def buildWrappedHeaders(self, headers):
"""build headers. Long headers are split using
the \frac mathtext directive (mathtext does not
support multiline equations.
This method is currently not in use.
returns (fontsize, headers)
"""
fontsize = self.mFontSize
maxlen = max([len(x) for x in headers])
if maxlen > self.mSplitHeader:
h = []
fontsize = self.mFontSizeSplit
for header in headers:
if len(header) > self.mSplitHeader:
# split txt into two equal parts trying
# a list of separators
t = len(header)
for s in self.mSeparators:
parts = header.split(s)
if len(parts) < 2:
continue
c = 0
tt = t // 2
# collect first part such that length is
# more than half
for x, p in enumerate(parts):
if c > tt:
break
c += len(p)
# accept if a good split (better than 2/3)
if float(c) / t < 0.66:
h.append(r"$\mathrm{\frac{ %s }{ %s }}$" %
(s.join(parts[:x]), s.join(parts[x:])))
break
else:
h.append(header)
else:
h.append(header)
headers = h
return fontsize, headers
def plot(self, matrix, row_headers, col_headers, path):
'''plot matrix.
Large matrices are split into several plots.
'''
self.debug("plot started")
self.startPlot()
nrows, ncols = matrix.shape
if self.zrange:
vmin, vmax = self.zrange
if vmin is None:
vmin = matrix.min()
if vmax is None:
vmax = matrix.max()
matrix[matrix < vmin] = vmin
matrix[matrix > vmax] = vmax
else:
vmin, vmax = None, None
if self.mPalette:
try:
if self.mReversePalette:
color_scheme = eval("plt.cm.%s_r" % self.mPalette)
else:
color_scheme = eval("plt.cm.%s" % self.mPalette)
except AttributeError:
raise ValueError("unknown palette '%s'" % self.mPalette)
else:
color_scheme = None
plots, labels = [], []
if self.split_cols == "auto":
self.split_cols = int(ncols / math.sqrt(ncols / nrows))
else:
self.split_cols = int(self.split_cols)
if self.split_rows == "auto":
self.split_rows = int(nrows / math.sqrt(nrows / ncols))
else:
self.split_rows = int(self.split_rows)
split_row = self.split_rows > 0 and nrows > self.split_rows
split_col = (self.split_cols > 0 and ncols > self.split_cols) or \
(self.split_cols == "auto")
# set consistent min/max values
if split_row or split_col:
if vmin is None:
vmin = numpy.nanmin(matrix)
if vmin == numpy.inf or vmin == -numpy.inf:
vmin = numpy.nanmin(matrix[matrix != vmin])
if vmax is None:
vmax = numpy.nanmax(matrix)
if vmax == numpy.inf or vmax == -numpy.inf:
vmax = numpy.nanmax(matrix[matrix != vmax])
if (split_row and split_col) or not (split_row or split_col):
self.debug("not splitting matrix")
# do not split small or symmetric matrices
cax = self.plotMatrix(matrix, row_headers, col_headers,
vmin, vmax, color_scheme)
plots.append(cax)
# plots, labels = None, None
self.rescaleForVerticalLabels(col_headers, cliplen=12)
self.addColourBar()
elif split_row:
nplots = int(math.ceil(float(nrows) / self.split_rows))
self.debug("splitting matrix at rows: {} * {} x {}".format(
nplots, self.split_rows, ncols))
# not sure why this switch to numbers - disable
# new_headers = ["%s" % (x + 1) for x in range(len(row_headers))]
new_headers = row_headers
for x in range(nplots):
plt.subplot(1, nplots, x + 1)
start = x * self.split_rows
end = start + min(nrows, self.split_rows)
cax = self.plotMatrix(matrix[start:end, :],
new_headers[start:end],
col_headers,
vmin, vmax,
color_scheme)
plots.append(cax)
# labels = ["%s: %s" % x for x in zip(new_headers, row_headers) ]
self.legend_location = "extra"
plt.subplots_adjust(**self.mMPLSubplotOptions)
self.addColourBar()
elif split_col:
nplots = int(math.ceil(float(ncols) / self.split_cols))
self.debug("splitting matrix at columns: {} * {} x {}".format(
nplots, nrows, self.split_cols))
# not sure why this switch to numbers - disable
# new_headers = ["%s" % (x + 1) for x in range(len(col_headers))]
new_headers = col_headers
for x in range(nplots):
plt.subplot(nplots, 1, x + 1)
start = x * self.split_cols
end = start + min(ncols, self.split_cols)
cax = self.plotMatrix(matrix[:, start:end],
row_headers,
new_headers[start:end],
vmin, vmax,
color_scheme)
plots.append(cax)
# labels = ["%s: %s" % x for x in zip(new_headers, col_headers) ]
self.legend_location = "extra"
plt.subplots_adjust(**self.mMPLSubplotOptions)
self.addColourBar(ax=cax)
self.debug("plot finished")
return self.endPlot(plots, labels, path)
class PlotterHinton(PlotterMatrix):
'''plot a hinton diagram.
Draws a Hinton diagram for visualizing a weight matrix.
The size of a box reflects the weight.
Taken from http://www.scipy.org/Cookbook/Matplotlib/HintonDiagrams
and modified to add colours, labels, etc.
'''
# column to use for error bars
colour_matrix = None
def buildMatrices(self, work, **kwargs):
'''build matrices necessary for plotting.
'''
self.colour_matrix = None
if self.colour:
# select label to take
labels = DataTree.getPaths(work)
label = list(set(labels[-1]).difference(set((self.colour,))))[0]
self.matrix, self.rows, self.columns = TableMatrix.buildMatrix(
self,
work,
apply_transformations=True,
take=label,
**kwargs
)
if self.colour and self.colour in labels[-1]:
self.colour_matrix, rows, colums = TableMatrix.buildMatrix(
self,
work,
apply_transformations=False,
take=self.colour,
**kwargs
)
else:
self.matrix, self.rows, self.columns = TableMatrix.buildMatrix(
self, work, **kwargs)
return self.matrix, self.rows, self.columns
def plotMatrix(self, weight_matrix,
row_headers, col_headers,
vmin, vmax,
color_scheme=None):
"""
Temporarily disables matplotlib interactive mode if it is on,
otherwise this takes forever.
"""
def _blob(x, y, area, colour):
"""
Draws a square-shaped blob with the given area (< 1) at
the given coordinates.
"""
hs = numpy.sqrt(area) / 2
xcorners = numpy.array([x - hs, x + hs, x + hs, x - hs])
ycorners = numpy.array([y - hs, y - hs, y + hs, y + hs])
plt.fill(xcorners, ycorners,
edgecolor=colour,
facecolor=colour)
plt.clf()
# convert to real-valued data
weight_matrix = numpy.nan_to_num(weight_matrix)
height, width = weight_matrix.shape
if vmax is None:
# 2**numpy.ceil(numpy.log(numpy.max(numpy.abs(weight_matrix)))/numpy.log(2))
vmax = weight_matrix.max()
if vmin is None:
vmin = weight_matrix.min()
scale = vmax - vmin
if self.colour_matrix is not None:
colour_matrix = self.colour_matrix
else:
colour_matrix = weight_matrix
cmin, cmax = colour_matrix.min(), colour_matrix.max()
plot = None
normer = matplotlib.colors.Normalize(cmin, cmax)
# save for colourbar
self.normer = normer
self.color_scheme = color_scheme
colours = normer(colour_matrix)
plt.axis('equal')
for x in range(width):
for y in range(height):
_x = x + 1
_y = y + 1
weight = weight_matrix[y, x] - vmin
_blob(_x - 0.5,
_y - 0.5,
weight / scale,
color_scheme(colours[y, x]))
offset = 0.5
xfontsize, col_headers = self.mFontSize, col_headers
yfontsize, row_headers = self.mFontSize, row_headers
plt.xticks([offset + x for x in range(len(col_headers))],
col_headers,
rotation="vertical",
fontsize=xfontsize)
plt.yticks([offset + y for y in range(len(row_headers))],
row_headers,
fontsize=yfontsize)
return plot
def on_draw(event):
'''resize for figure legend.'''
# locate figure and axes
canvas = event.canvas
fig = canvas.figure
axes = fig.gca()
# get figure coordinates
dpi = fig.get_dpi()
width, height = fig.get_size_inches()
max_x, max_y = dpi * width, dpi * height
# find legend and coords
for o in fig.findobj(matplotlib.legend.Legend):
legend = o
legend_coords = legend.get_window_extent().get_points()
legend_x, legend_y = legend_coords[1]
# re-scale
if legend_x > max_x:
scale_x = legend_x / max_x * 1.1
else:
scale_x = 1.0
if legend_y > max_y:
scale_y = legend_y / max_y * 1.1
else:
scale_y = 1.0
pos = axes.get_position()
# re-scale axes to create space for legend
axes.set_position((pos.xmin,
pos.ymin,
pos.width * 1.0 / scale_x,
pos.height * 1.0 / scale_y))
# scale figure
fig.set_figwidth(fig.get_figwidth() * scale_x)
fig.set_figheight(fig.get_figheight() * scale_y)
# redraw, temporarily disable event to avoid infinite recursion
func_handles = fig.canvas.callbacks.callbacks[event.name]
canvas.callbacks.callbacks[event.name] = {}
# redraw the figure..
canvas.draw()
# reset the draw event callbacks
fig.canvas.callbacks.callbacks[event.name] = func_handles
return False
def outer_legend(*args, **kwargs):
"""plot legend outside of plot by rescaling it.
Copied originally from
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg04256.html
but modified.
There were problems with the automatic re-scaling of the
plot. Basically, the legend size seemed to be unknown and set to
0,0,1,1. Only after plotting were the correct bbox coordinates
entered.
The current implementation allocates 3/4 of the canvas for the
legend and hopes for the best.
"""
# make a legend without the location
# remove the location setting from the kwargs
if 'loc' in kwargs:
loc = kwargs.pop('loc')
else:
loc == "outer-top"
if loc.endswith("right"):
leg = plt.legend(bbox_to_anchor=(1.05, 1), loc=2,
borderaxespad=0., mode="expand", *args, **kwargs)
elif loc.endswith("top"):
leg = plt.legend(
bbox_to_anchor=(0, 1.02, 1., 1.02), loc=3,
mode="expand", *args, **kwargs)
else:
raise ValueError("unknown legend location %s" % loc)
fig = plt.gcf()
cid = fig.canvas.mpl_connect('draw_event', on_draw)
return leg
# the following has been taken from
# http://www.scipy.org/Cookbook/Matplotlib/HintonDiagrams
def hinton(W, maxWeight=None):
"""
Draws a Hinton diagram for visualizing a weight matrix.
Temporarily disables matplotlib interactive mode if it is on,
otherwise this takes forever.
"""
def _blob(x, y, area, colour):
"""
Draws a square-shaped blob with the given area (< 1) at
the given coordinates.
"""
hs = numpy.sqrt(area) / 2
xcorners = numpy.array([x - hs, x + hs, x + hs, x - hs])
ycorners = numpy.array([y - hs, y - hs, y + hs, y + hs])
plt.fill(xcorners, ycorners, colour, edgecolor=colour)
reenable = False
if plt.isinteractive():
reenable = True
plt.ioff()
plt.clf()
height, width = W.shape
if not maxWeight:
maxWeight = 2 ** numpy.ceil(
numpy.log(numpy.max(numpy.abs(W))) / numpy.log(2))
plot = plt.fill(
numpy.array([0, width, width, 0]),
numpy.array([0, 0, height, height]), 'gray')
plt.axis('off')
plt.axis('equal')
for x in range(width):
for y in range(height):
_x = x + 1
_y = y + 1
w = W[y, x]
if w > 0:
_blob(
_x - 0.5, height - _y + 0.5,
min(1, w / maxWeight), 'white')
elif w < 0:
_blob(
_x - 0.5, height - _y + 0.5,
min(1, -w / maxWeight), 'black')
if reenable:
plt.ion()
return plot
class LinePlot(Renderer, Plotter):
'''create a line plot.
Plot lines from a dataframe. Separate lines are defined
by:
1. multiple columns in the dataframe
2. mulitple indices in the dataframe
This is a base class that provides several hooks for
derived classes.
initPlot()
for line, data in work:
initLine()
for label, coords in data:
xlabel, ylabels = initCoords()
for ylabel in ylabels:
addData(xlabel, ylabel)
finishCoords()
finishLine()
finishPlot()
This plotter accepts the following options:
:term:`as-lines`: do not plot symbols
:term:`yerror`: every second data track is a y error
'''
nlevels = 1
options = Plotter.options +\
(('as-lines', directives.flag),
('yerror', directives.flag),
)
# when splitting, keep first column (X coordinates)
split_keep_first_column = True
def initPlot(self, fig, dataseries, path):
'''initialize plot.'''
self.legend = []
self.plots = []
self.xlabels = []
self.ylabels = []
def getFormat(self, nplotted):
'''return tuple with color, linestyle and marker for
data series *n* within a plot.'''
color = self.format_colors[nplotted % len(self.format_colors)]
nplotted //= len(self.format_colors)
linestyle = self.format_lines[nplotted % len(self.format_lines)]
if self.as_lines:
marker = None
else:
nplotted //= len(self.format_lines)
marker = self.format_markers[nplotted % len(self.format_markers)]
return color, linestyle, marker
def initLine(self, line, data):
'''hook for code working on a line.'''
pass
def initCoords(self, label, coords):
'''hook for code working a collection of coords.
should return a single key for xvalues and
one or more keys for y-values.
'''
keys = list(coords.keys())
return keys[0], keys[1:]
def finishCoords(self, label, coords):
'''hook called after all coords have been processed.'''
pass
def finishPlot(self, fig, work, path):
'''hook called after plotting has finished.'''
plt.xlabel("-".join(set(self.xlabels)))
plt.ylabel("-".join(set(self.ylabels)))
class HistogramPlot(LinePlot):
'''create a line plot.
This:class:`Renderer` requires at least three levels:
Currently the xvalues are interpreted as left bin sizes
and the last bin is the same width as the second to last
bin. This could be made more correct using the bins
from histogram directly.
line / data / coords.
'''
nlevels = 2
# column to use for error bars
error = None
options = LinePlot.options +\
(('error', directives.unchanged),)
def initCoords(self, xvalues, yvalues):
'''collect error coords and compute bar width.'''
self.yerr = None
# locate error bars
# if self.error and self.error in coords:
# self.yerr = coords[self.error]
# ylabels = [ x for x in ylabels if x == self.error ]
# else:
# self.yerr = None
# compute bar widths
widths = []
xv = numpy.array(xvalues)
w = xv[0]
for x in xv[1:]:
widths.append(x - w)
w = x
widths.append(widths[-1])
self.widths = widths
class HistogramGradientPlot(LinePlot):
'''create a series of coloured bars from histogram data.
This:class:`Renderer` requires at least three levels:
line / data / coords.
'''
nlevels = 2
options = LinePlot.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('colorbar-format', directives.unchanged))
class BarPlot(TableMatrix, Plotter):
'''A bar plot.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
'''
options = TableMatrix.options + Plotter.options +\
(('label', directives.unchanged),
('error', directives.unchanged),
('colour', directives.unchanged),
('transparency', directives.unchanged),
('bottom-value', directives.unchanged),
('orientation', directives.unchanged),
('first-is-offset', directives.unchanged),
('switch', directives.unchanged),
('bar-width', directives.unchanged),
)
# column to use for error bars
error = None
# column to use for labels
label = None
# column to use for custom colours
colour = None
# column to use for transparency values
# transparency does not work yet - bar plot does not
# accept a list of transparency values
transparency = None
# bottom value of bars (can be used to move intersection of x-axis with
# y-axis)
bottom_value = None
label_offset_x = 10
label_offset_y = 5
# orientation of bars
orientation = 'vertical'
# first row is offset (not plotted)
first_is_offset = False
# switch rows/columns
switch_row_col = False
# bar width (height for horizontal plots)
bar_width = 0.5
# always put multiple bars in a plot
group_level = -1
def addLabels(self, xvals, yvals, labels):
'''add labels at x,y at current plot.
'''
if self.orientation == 'horizontal':
xvals, yvals = yvals, xvals
ax = plt.gca()
trans = coord_offset(ax, self.mCurrentFigure,
self.label_offset_x,
self.label_offset_y)
for xval, yval, label in zip(xvals, yvals, labels):
ax.text(xval, yval, label, transform=trans)
def buildMatrices(self, dataframe):
'''build matrices necessary for plotting.
If a matrix only contains a single row, the matrix
is transposed.
'''
self.error_matrix = _getMatrix(self.error, dataframe)
self.label_matrix = _getMatrix(self.label, dataframe)
self.colour_matrix = _getMatrix(self.colour, dataframe)
self.transparency_matrix = _getMatrix(self.transparency, dataframe)
# remove the special columns
if self.error or self.label or self.colour or self.transparency:
dataframe = dataframe[
[x for x in dataframe.columns
if x not in (self.error, self.label,
self.colour, self.transparency)]]
# take first of the remaining columns ignoring the rest
try:
df = dataframe[dataframe.columns[0]].unstack()
except AttributeError:
# is not a multi-index object, no need to unstack
df = dataframe
self.rows = [path2str(x) for x in list(df.index)]
self.columns = list(df.columns)
self.data_matrix = df.values
if self.switch_row_col or self.data_matrix.shape[0] == 1:
if self.data_matrix is not None:
self.data_matrix = self.data_matrix.transpose()
if self.error_matrix is not None:
self.error_matrix = self.error_matrix.transpose()
if self.label_matrix is not None:
self.label_matrix = self.label_matrix.transpose()
if self.colour_matrix is not None:
self.colour_matrix = self.colour_matrix.transpose()
if self.transparency_matrix is not None:
self.transparency_matrix = self.transparency_matrix.transpose()
self.rows, self.columns = self.columns, self.rows
def getColour(self, idx, column):
'''return hatch and colour.'''
if self.transparency_matrix is not None:
alpha = self.transparency_matrix[:, column]
else:
alpha = None
# the colour plotting has a problem with arrays, return
# a list
if self.colour_matrix is not None:
color = list(self.colour_matrix[:, column])
hatch = None
else:
hatch, color = self.bar_patterns[idx % len(self.bar_patterns)]
return hatch, color, alpha
def addTicks(self, xvals):
'''add tick marks to plots.'''
rotation = "horizontal"
if self.orientation == "vertical":
if len(self.rows) > 5 or max([len(x) for x in self.rows]) >= 8:
rotation = "vertical"
self.rescaleForVerticalLabels(self.rows)
if self.orientation == 'vertical':
plt.xticks(
xvals + self.bar_width / 2., self.rows, rotation=rotation)
else:
plt.yticks(
xvals + self.bar_width / 2., self.rows, rotation=rotation)
locs, labels = plt.xticks()
plt.xticks(locs, labels, rotation='vertical')
class InterleavedBarPlot(BarPlot):
"""A plot with interleaved bars.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
"""
# always put multiple bars in a plot
# and multiple data points in a plot
group_level = -2
class StackedBarPlot(BarPlot):
"""A plot with stacked bars.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
"""
# always put multiple bars in a plot
# and multiple data points in a plot
group_level = -2
class DataSeriesPlot(Renderer, Plotter):
"""Plot one or more data series within a single plot.
The data series is given as a hierachically indexed
(melted) data series or multiple columns.
This:class:`Renderer` requires two levels.
labels[dict] / data[array]
"""
options = Renderer.options + Plotter.options
nlevels = 1
class MultipleSeriesPlot(Renderer, Plotter):
"""Plot data according to different orientations.
If the dataframe has only a single column, create a single plot
with row names as keys and the column as values.
If the dataframe has multiple columns, create one plot
for each row with the column headers as keys and the
row as values.
"""
options = Renderer.options + Plotter.options
class PlotByRow(Renderer, Plotter):
'''Create multiple plots from a dataframe in row-wise fashion.
Currently not used by any subclass.
'''
nlevels = 1
class PiePlot(MultipleSeriesPlot):
"""A pie chart.
If *pie-first-is-total* is set, the first entry
is assumed to be the total and all the other values
are subtracted. It is renamed by the value of *pie-first-is-total*.
"""
options = TableMatrix.options + Plotter.options +\
(('pie-min-percentage', directives.unchanged),
('pie-first-is-total', directives.unchanged),)
# Do not group data
group_level = 'force-none'
class TableMatrixPlot(TableMatrix, PlotterMatrix):
"""Render a matrix as a matrix plot.
"""
options = TableMatrix.options + PlotterMatrix.options
def render(self, work, path):
"""render the data."""
self.debug("building matrix started")
matrix, rows, columns = self.buildMatrix(work)
self.debug("building matrix finished")
return self.plot(matrix, rows, columns, path)
# for compatibility
MatrixPlot = TableMatrixPlot
class NumpyMatrixPlot(NumpyMatrix, PlotterMatrix):
"""Render a matrix as a matrix plot.
"""
options = NumpyMatrix.options + PlotterMatrix.options
def render(self, work, path):
"""render the data."""
self.debug("building matrix started")
matrix, rows, columns = self.buildMatrix(work)
self.debug("building matrix finished")
return self.plot(matrix, rows, columns, path)
class HintonPlot(TableMatrix, PlotterHinton):
"""Render a matrix as a hinton plot.
Draws a Hinton diagram for visualizing a weight matrix.
The size of a box reflects the weight.
This class adds the following options to the:term:`report` directive:
:term:`colours`: colour boxes according to value.
"""
options = TableMatrix.options + PlotterHinton.options +\
(('colours', directives.unchanged),
)
# column to use for error bars
colour = None
def render(self, work, path):
"""render the data."""
matrix, rows, columns = self.buildMatrices(work)
return self.plot(matrix, rows, columns, path)
class GalleryPlot(PlotByRow):
'''Plot an image.
'''
options = Renderer.options + Plotter.options + (
('original', directives.flag),
('regex-title', directives.unchanged),
)
nlevels = 1
class Text(PlotByRow):
'''Insert data as quoted text
'''
options = Renderer.options + Plotter.options +\
(('language', directives.unchanged),
)
nlevels = 1
language = "guess"
class ScatterPlot(Renderer, Plotter):
"""Scatter plot.
The different tracks will be displayed with different colours.
This:class:`Renderer` requires two levels:
track[dict] / coords[dict]
:regression:
int
add linear regression function of a certain degree
(straight line is degree 1).
"""
options = Renderer.options + Plotter.options +\
(('regression', directives.unchanged),
)
nlevels = 1
class ScatterPlotWithColor(ScatterPlot):
"""Scatter plot with individual colors for each dot.
This class adds the following options to the:term:`report` directive:
:term:`colorbar-format`: numerical format for the colorbar.
:term:`palette`: numerical format for the colorbar.
:term:`zrange`: restrict plot a part of the z-axis.
This:class:`Renderer` requires one level:
coords[dict]
"""
options = Renderer.options + Plotter.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('colorbar-format', directives.unchanged))
nlevels = 2
class VennPlot(Renderer, Plotter):
'''plot a two and three circle venn diagramm.
This:term:`renderer` plots a Venn diagramm.
The dictionary should contain the elements
* ('10', '01', and '11') for a two-circle Venn diagram.
* ('100', '010', '110', '001', '101', '011', '111')
for a three-circle Venn diagram.
When plotting, the function looks for the first 3 or 7 element dictionary
and the first 3 or 7 element list.
data[dict]
'''
options = Renderer.options + Plotter.options
# no grouping
group_level = -1
| 32.120603 | 88 | 0.530663 | """Mixin classes for Renderers that plot.
"""
from __future__ import unicode_literals
import os
import re
import math
import itertools
import datetime
import pandas
from CGATReport.ResultBlock import ResultBlock, ResultBlocks
from CGATReport.Plugins.Renderer import Renderer, NumpyMatrix, TableMatrix
from CGATReport.DataTree import path2str, str2path, path2key
from CGATReport import DataTree, Stats, Utils
from collections import OrderedDict as odict
from docutils.parsers.rst import directives
import numpy
import matplotlib
# matplotlib.use('Agg', warn=False)
# This does not work:
# Matplotlib might be imported beforehand? plt.switch_backend did not
# change the backend. The only option I found was to change my own
# matplotlibrc.
import matplotlib.colors
import matplotlib.pyplot as plt
# For Rstyle plotting, previously used the snippets from:
# see http://messymind.net/2012/07/making-matplotlib-look-like-ggplot/
# now using seaborn
try:
import seaborn
HAS_SEABORN = True
except ImportError:
HAS_SEABORN = False
# Python 3 Compatibility
try:
import matplotlib_venn
except ImportError:
matplotlib_venn = None
def parseRanges(r):
'''given a string in the format "x,y",
return a tuple of values (x,y).
missing values are set to None.
'''
if not r:
return r
r = [x.strip() for x in r.split(",")]
if r[0] == "":
r[0] = None
else:
r[0] = float(r[0])
if r[1] == "":
r[1] = None
else:
r[1] = float(r[1])
return r
def normalize_legends(original_legends):
s = [path2str(x) for x in original_legends]
paths = [str2path(x) for x in s]
lengths = [len(x) for x in paths]
assert min(lengths) == max(lengths)
levels = list(zip(*paths))
pruned_levels = [x for x in levels if len(set(x)) > 1]
new_legends = [path2str(x) for x in zip(*pruned_levels)]
if len(new_legends) != len(original_legends):
return original_legends
else:
return new_legends
class Plotter(object):
"""Base class for Renderers that do simple 2D plotting.
This mixin class provides convenience function for
:class:`Renderer.Renderer` classes that do 2D plotting.
The base class takes care of counting the plots created,
provided that the methods:meth:`startPlot` and:meth:`endPlot`
are called appropriately. It then inserts the appropriate place holders.
This class adds the following options to the:term:`report` directive:
:term:`logscale`: apply logscales one or more axes.
:term:`xtitle`: add a label to the X axis
:term:`ytitle`: add a label to the Y axis
:term:`title`: title of the plot
:term:`add-title`: add title to each plot
:term:`legend-location`: specify the location of the legend
:term:`xrange`: restrict plot a part of the x-axis
:term:`yrange`: restrict plot a part of the y-axis
:term:`function`: add a function to the plot. Multiple
functions can be supplied as a comma-separated list.
If functions are separated by a |, then they will
be plotted on each separately in order, recycling if
necessary
:term:`vline`: add one or more vertical lines to the
plot.
:term:`xformat`: label for X axis
:term:`yformat`: label for Y axis
:term:`no-tight`: do not attempt a tight layout
(see ``matplotlib.pyplot.tight_layout()``)
With some plots default layout options will result in plots
that are misaligned (legends truncated, etc.). To fix this it might
be necessary to increase plot size, reduce font size, or others.
The following options will be passed on the matplotlib to permit
this control.
:term:`mpl-figure`: options for matplotlib
``figure`` calls().
:term:`mpl-legend`: options for matplotlib
``legend`` calls().
:term:`mpl-subplot`: options for matplotlib
``subplots_adjust`` calls().
:term:`mpl-rc`: general environment settings for matplotlib.
See the matplotlib documentation. Multiple options can be
separated by ;, for example
``:mpl-rc: figure.figsize=(20,10);legend.fontsize=4``
:term:`xticks-max-chars`: if the number of characters on the
tick-labels on the X-axis exceed this value, the labels
will be replaced by shorter version. See :term:`xticks-action`.
If set to 0, no truncation will be performed.
:term:`xticks-action`: action to perform it tick-labels are to long.
Valid values are ``truncate-start`` and ``truncate-end`` to truncate
from the start or end of the label, respectively; ``numbers`` to
replace the values with numbers.
"""
mLegendFontSize = 8
# number of chars to use to reduce legend font size
mMaxLegendSize = 100
# maximum number of rows per column. If there are more,
# the legend is split into multiple columns
mLegendMaxRowsPerColumn = 30
options = (
('logscale', directives.unchanged),
('title', directives.unchanged),
('add-title', directives.flag),
('xtitle', directives.unchanged),
('ytitle', directives.unchanged),
('xrange', directives.unchanged),
('yrange', directives.unchanged),
('zrange', directives.unchanged),
('function', directives.unchanged),
('vline', directives.unchanged),
('mpl-figure', directives.unchanged),
('mpl-legend', directives.unchanged),
('mpl-subplot', directives.unchanged),
('mpl-rc', directives.unchanged),
('legend-location', directives.unchanged),
('xformat', directives.unchanged),
('yformat', directives.unchanged),
('no-tight', directives.flag), # currently ignored
('tight', directives.flag),
('xticks-action', directives.unchanged),
('xticks-max-chars', directives.length_or_unitless),
('xticks-rotation', directives.length_or_unitless),
)
if HAS_SEABORN:
format_colors = seaborn.color_palette() # "bgrcmk"
else:
format_colors = "bgrcmk"
format_markers = "so^>dph8+x"
format_lines = ('-', ':', '--')
mPatterns = [None, '/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*']
# maximum number of characters in X ticks
# If 0, do not perform any action
xticks_max_length = 10
# xticks rotation
xticks_rotation = 0
# action to perform when X ticks are longer than maximum.
# Options are "truncate-start", "truncate-end", "number"
xticks_action = "truncate-start"
def __init__(self, *args, **kwargs):
"""parse option arguments."""
self.mFigure = 0
self.logscale = kwargs.get("logscale", None)
self.title = kwargs.get("title", None)
self.add_title = "add-title" in kwargs
self.xlabel = kwargs.get("xtitle", None)
self.ylabel = kwargs.get("ytitle", None)
self.functions = kwargs.get("function", None)
self.vline = kwargs.get("vline", None)
self.tight_layout = 'tight' in kwargs
if self.functions:
if "," in self.functions and "|" in self.functions:
raise ValueError(
"functions need to be separated by , or |, not both")
self.all_functions_per_plot = True
if "," in self.functions:
self.functions = self.functions.split(",")
elif "|" in self.functions:
self.all_functions_per_plot = False
self.functions = self.functions.split("|")
else:
self.functions = [self.functions]
# substitute '-' in CGATReport-speak for ' ' in matplotlib speak
self.legend_location = re.sub(
"-", " ", kwargs.get("legend-location", "upper right"))
# ("outer-top"))
self.xrange = parseRanges(kwargs.get("xrange", None))
self.yrange = parseRanges(kwargs.get("yrange", None))
self.zrange = parseRanges(kwargs.get("zrange", None))
self.xformat = kwargs.get("xformat", None)
self.yformat = kwargs.get("yformat", None)
self.xticks_max_length = int(kwargs.get('xticks-max-chars',
self.xticks_max_length))
self.xticks_action = kwargs.get('xticks-action',
'number')
self.xticks_rotation = kwargs.get('xticks-rotation', 0)
if self.xticks_action not in ('number',
'truncate-start',
'truncate-end'):
raise ValueError(
"unknown option for xticks-action: '%s'" %
self.xticks_action)
def setupMPLOption(key):
options = {}
try:
for k in kwargs[key].split(";"):
key, val = k.split("=")
# convert unicode to string
try:
options[str(key)] = eval(val)
except NameError:
options[str(key)] = val
except KeyError:
pass
return options
self.mMPLFigureOptions = setupMPLOption("mpl-figure")
self.mMPLLegendOptions = setupMPLOption("mpl-legend")
self.mMPLSubplotOptions = setupMPLOption("mpl-subplot")
self.mMPLRC = setupMPLOption("mpl-rc")
def startPlot(self, **kwargs):
"""prepare everything for a plot.
returns the current figure.
"""
# setting rc parameters disabled in order not interfere with seaborn
# aesthetics
# go to defaults
# matplotlib.rcdefaults()
# set parameters
# if self.mMPLRC:
# self.debug("extra plot options: %s" % str(self.mMPLRC))
# matplotlib.rcParams.update(self.mMPLRC)
self.mCurrentFigure = plt.figure(**self.mMPLFigureOptions)
if self.title:
plt.title(self.title)
return self.mCurrentFigure
def get_figure_id(self):
return plt.gca().figure.number
def wrapText(self, text, cliplen=20, separators=":_"):
"""wrap around text using the mathtext.
Currently this subroutine uses the \frac directive, so it is
not pretty. returns the wrapped text.
"""
# split txt into two equal parts trying
# a list of separators
newtext = []
for txt in text:
t = len(txt)
if t > cliplen:
for s in separators:
parts = txt.split(s)
if len(parts) < 2:
continue
c = 0
tt = t // 2
# collect first part such that length is
# more than half
for x, p in enumerate(parts):
if c > tt:
break
c += len(p)
# accept if a good split (better than 2/3)
if float(c) / t < 0.66:
newtext.append(r"$\mathrm{\frac{ %s }{ %s }}$" %
(s.join(parts[:x]), s.join(parts[x:])))
break
else:
newtext.append(txt)
return newtext
def endPlot(self, plts, legends, path):
"""close plots.
This method performs common post-processing options on
matplotlib rendered plots:
* rescaling the axes
* legend placement and formatting
* adding a function to the plot
returns blocks of restructured text with place holders for the
figure.
"""
if not plts:
return ResultBlocks()
figure_key = path2key(path)
# convert to log-scale
ax = plt.gca()
# set logscale before the xlim, as it re-scales the plot.
if self.logscale:
xlim = ax.get_xlim()
ylim = ax.get_ylim()
if "x" in self.logscale:
try:
ax.set_xscale('log')
# rescale: log plots does not autoscale well if
# negative values scale manually - needs to be
# overridden by the user if small values are to be
# expected
if xlim[0] < 0:
ax.set_xlim((0.01, None))
except OverflowError:
ax.set_xscale('linear')
if "y" in self.logscale:
try:
ax.set_yscale('log')
# rescale: log plots does not autoscale well if
# negative values scale manually - needs to be
# overridden by the user if small values are to be
# expected
if ylim[0] < 0:
ax.set_ylim((0.01, None))
except OverflowError:
ax.set_yscale('linear')
ax.relim()
# truncate plot
if self.xrange:
plt.xlim(self.xrange)
if self.yrange:
plt.ylim(self.yrange)
# add additional plot elements
if self.functions:
xstart, xend = ax.get_xlim()
increment = (xend - xstart) / 100.0
if self.all_functions_per_plot:
for function in self.functions:
f = eval("lambda x: %s" % function)
xvals = numpy.arange(xstart, xend, increment)
yvals = [f(x) for x in xvals]
plt.plot(xvals, yvals)
else:
function = self.functions[
self.get_figure_id() % len(self.functions)]
f = eval("lambda x: %s" % function)
xvals = numpy.arange(xstart, xend, increment)
yvals = [f(x) for x in xvals]
plt.plot(xvals, yvals)
if self.vline:
ystart, yend = ax.get_ylim()
lines = []
for l in self.vline.split(","):
l = l.strip()
if l == "today":
l = datetime.datetime.now().toordinal()
else:
l = int(l)
lines.append(l)
ax.vlines(lines, ystart, yend)
# add labels and titles
if self.add_title:
plt.suptitle(DataTree.path2str(path))
if self.xlabel:
plt.xlabel(self.xlabel)
if self.ylabel:
plt.ylabel(self.ylabel)
# change x/y labels
# change x/y axis formatter
if self.xformat:
if self.xformat.startswith('date'):
xlim = ax.get_xlim()
if xlim[0] < 1:
raise ValueError(
"date value out of range - needs to larger than 1")
ax.xaxis_date()
loc = matplotlib.dates.AutoDateLocator()
ax.xaxis.set_major_locator(loc)
fmt = self.xformat[5:].strip()
if not fmt:
fmt = '%Y-%m-%d'
ax.xaxis.set_major_formatter(
matplotlib.dates.AutoDateFormatter(loc,
defaultfmt=fmt))
if self.yformat:
if self.yformat.startswith('date'):
ylim = ax.get_ylim()
if ylim[0] < 1:
raise ValueError(
"date value out of range - needs to larger than 1")
ax.yaxis_date()
loc = matplotlib.dates.AutoDateLocator()
ax.yaxis.set_major_locator(loc)
fmt = self.yformat[5:].strip()
if not fmt:
fmt = '%Y-%m-%d'
ax.yaxis.set_major_formatter(
matplotlib.dates.AutoDateFormatter(loc,
defaultfmt=fmt))
# If longest label on X-axis is larger than
# threshold, either truncate, summarize or
# map.
# modifying labels in place did not work as
# set_xticklabels expects strings, not Text attributes,
# so work with text directly:
preamble, postamble = "", ""
xlabels = [x.get_text() for x in ax.get_xticklabels()]
if xlabels and self.xticks_max_length > 0:
max_len = max([len(x) for x in xlabels])
if max_len > self.xticks_max_length:
if self.xticks_action.startswith("truncate"):
if self.xticks_action == "truncate-end":
f = lambda x, txt: txt[:self.xticks_max_length]
elif self.xticks_action == "truncate-start":
f = lambda x, txt: txt[-self.xticks_max_length:]
new_labels = [f(x, y) for x, y in enumerate(xlabels)]
elif self.xticks_action == "number":
# Use chars starting at 'A' for labels
nchars = int(math.ceil(len(xlabels) / 26.0))
new_labels = ["".join(x) for x in itertools.product(
"ABCDEFGHIJKLMNOPQRSTUVWXYZ",
repeat=nchars)]
new_labels = new_labels[:len(xlabels)]
else:
raise ValueError(
"unkown xtick-action: {}".format(self.xticks_action))
postamble = "\n" + "\n".join(
["* %s: %s" % (x, y)
for x, y in zip(new_labels, xlabels)])
ax.set_xticklabels(new_labels)
if self.xticks_rotation:
for tick in ax.get_xticklabels():
tick.set_rotation(self.xticks_rotation)
blocks = ResultBlocks(
ResultBlock(
text="#$mpl {}.{}$#\n".format(figure_key, self.get_figure_id()),
title=DataTree.path2str(path),
preamble=preamble,
postamble=postamble))
legend = None
maxlen = 0
# In matplotlib version < 1.1, the output of plotting was
# a single element. In later versions, the output is a tuple
# so take first element.
if type(plts[0]) in (tuple, list):
plts = [x[0] for x in plts]
# convert to string
if legends:
legends = normalize_legends(legends)
if self.legend_location != "none" and plts and legends:
maxlen = max([len(x) for x in legends])
# legends = self.wrapText(legends)
assert len(plts) == len(legends)
if self.legend_location.startswith("outer"):
legend = outer_legend(plts,
legends,
loc=self.legend_location,
ncol=1,
)
else:
ax.legend(plts,
legends,
loc=self.legend_location,
ncol=1,
**self.mMPLLegendOptions)
if self.legend_location == "extra" and legends:
blocks.append(
ResultBlock("\n".join(
("#$mpl {}.{}$#".format(figure_key, self.get_figure_id())),
"",
"legend")))
legend = plt.figure(**self.mMPLFigureOptions)
lx = legend.add_axes((0.1, 0.1, 0.9, 0.9))
lx.set_title("Legend")
lx.set_axis_off()
plt.setp(lx.get_xticklabels(), visible=False)
if not plts:
plts = []
for x in legends:
plts.append(plt.plot((0,), (0,)))
lx.legend(
plts, legends,
'center left',
ncol=max(
1, int(math.ceil(float(len(legends) /
self.mLegendMaxRowsPerColumn)))),
**self.mMPLLegendOptions)
# smaller font size for large legends
if legend and maxlen > self.mMaxLegendSize:
# all the text.Text instance in the legend
ltext = legend.get_texts()
plt.setp(ltext, fontsize='small')
if self.mMPLSubplotOptions:
# apply subplot options - useful even if there are no subplots in
# order to set figure margins.
plt.subplots_adjust(**self.mMPLSubplotOptions)
# disabled: tight_layout not working well sometimes
# causing plots to display compressed
if self.tight_layout:
try:
plt.tight_layout()
except ValueError:
# some plots (with large legends) receive
# ValueError("bottom cannot be >= top")
pass
return blocks
def rescaleForVerticalLabels(self, labels, offset=0.02, cliplen=6):
"""rescale current plot so that vertical labels are displayed
properly.
In some plots the labels are clipped if the labels are
vertical labels on the X-axis. This is a heuristic hack and
is not guaranteed to always work.
"""
# rescale plotting area if labels are more than 6 characters
if len(labels) == 0:
return
maxlen = max([len(str(x)) for x in labels])
if maxlen > cliplen:
currentAxes = plt.gca()
currentAxesPos = currentAxes.get_position()
# scale plot by 2% for each extra character
# scale at most 30% as otherwise the plot will
# become illegible (and matplotlib might crash)
offset = min(0.3, offset * (maxlen - cliplen))
# move the x-axis up
currentAxes.set_position((currentAxesPos.xmin,
currentAxesPos.ymin + offset,
currentAxesPos.width,
currentAxesPos.height - offset))
class PlotterMatrix(Plotter):
"""Plot a matrix.
This mixin class provides convenience function
for:class:`Renderer.Renderer` classes that plot matrices.
This class adds the following options to the:term:`report` directive:
:term:`colorbar-format`: numerical format for the colorbar.
:term:`palette`: numerical format for the colorbar.
:term:`reverse-palette`: invert palette
:term:`max-rows`: maximum number of rows per plot
:term:`max-cols`: maximum number of columns per plot
:term:`nolabel-rows`: do not add row labels
:term:`nolabel-cols`: do not add column labels
"""
mFontSize = 8
# after # characters, split into two
# lines
mSplitHeader = 20
mFontSizeSplit = 8
# separators to use to split text
mSeparators = ":_"
options = Plotter.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('split-rows', directives.unchanged),
('split-cols', directives.unchanged),
('colorbar-format', directives.unchanged),
('nolabel-rows', directives.flag),
('nolabel-cols', directives.flag),
)
def __init__(self, *args, **kwargs):
Plotter.__init__(self, *args, **kwargs)
self.mBarFormat = kwargs.get("colorbar-format", "%1.1f")
self.mPalette = kwargs.get("palette", "jet")
self.split_rows = kwargs.get("split-rows", 0)
self.split_cols = kwargs.get("split-cols", 0)
self.mReversePalette = "reverse-palette" in kwargs
self.label_rows = "nolabel-rows" not in kwargs
self.label_cols = "nolabel-cols" not in kwargs
def addColourBar(self, ax=None):
if ax is None:
plt.colorbar(format=self.mBarFormat)
else:
fig = ax.figure
fig.subplots_adjust(right=0.8)
cbar_ax = fig.add_axes([0.85, 0.15, 0.05, 0.7])
fig.colorbar(ax, cax=cbar_ax, format=self.mBarFormat)
def buildWrappedHeaders(self, headers):
"""build headers. Long headers are split using
the \frac mathtext directive (mathtext does not
support multiline equations.
This method is currently not in use.
returns (fontsize, headers)
"""
fontsize = self.mFontSize
maxlen = max([len(x) for x in headers])
if maxlen > self.mSplitHeader:
h = []
fontsize = self.mFontSizeSplit
for header in headers:
if len(header) > self.mSplitHeader:
# split txt into two equal parts trying
# a list of separators
t = len(header)
for s in self.mSeparators:
parts = header.split(s)
if len(parts) < 2:
continue
c = 0
tt = t // 2
# collect first part such that length is
# more than half
for x, p in enumerate(parts):
if c > tt:
break
c += len(p)
# accept if a good split (better than 2/3)
if float(c) / t < 0.66:
h.append(r"$\mathrm{\frac{ %s }{ %s }}$" %
(s.join(parts[:x]), s.join(parts[x:])))
break
else:
h.append(header)
else:
h.append(header)
headers = h
return fontsize, headers
def plotMatrix(self, matrix, row_headers, col_headers,
vmin, vmax,
color_scheme=None):
self.debug("plot matrix started")
# when matrix is very different from square matrix
# adjust figure size
# better would be to move the axes as well to the left of
# the figure.
if len(row_headers) > 2 * len(col_headers):
r = float(len(row_headers)) / len(col_headers) * 0.5
w, h = self.mCurrentFigure.get_size_inches()
self.mCurrentFigure.set_size_inches(w, h * r)
elif len(col_headers) > 2 * len(row_headers):
r = float(len(col_headers)) / len(row_headers)
w, h = self.mCurrentFigure.get_size_inches() * 0.5
self.mCurrentFigure.set_size_inches(w * r, h)
if self.logscale is not None and "z" in self.logscale:
norm = matplotlib.colors.LogNorm(vmin, vmax)
else:
norm = None
plot = plt.imshow(matrix,
cmap=color_scheme,
origin='lower',
vmax=vmax,
vmin=vmin,
norm=norm,
interpolation='nearest')
# offset=0: x=center,y=center
# offset=0.5: y=top/x=right
offset = 0.0
if self.label_rows:
row_headers = [str(x) for x in row_headers]
yfontsize, row_headers = self.mFontSize, row_headers
plt.yticks([offset + y for y in range(len(row_headers))],
row_headers,
fontsize=yfontsize)
if self.label_cols:
col_headers = [str(x) for x in col_headers]
xfontsize, col_headers = self.mFontSize, col_headers
plt.xticks([offset + x for x in range(len(col_headers))],
col_headers,
rotation="vertical",
fontsize=xfontsize)
# turn off any grid lines
plt.grid(False)
self.debug("plot matrix finished")
return plot
def plot(self, matrix, row_headers, col_headers, path):
'''plot matrix.
Large matrices are split into several plots.
'''
self.debug("plot started")
self.startPlot()
nrows, ncols = matrix.shape
if self.zrange:
vmin, vmax = self.zrange
if vmin is None:
vmin = matrix.min()
if vmax is None:
vmax = matrix.max()
matrix[matrix < vmin] = vmin
matrix[matrix > vmax] = vmax
else:
vmin, vmax = None, None
if self.mPalette:
try:
if self.mReversePalette:
color_scheme = eval("plt.cm.%s_r" % self.mPalette)
else:
color_scheme = eval("plt.cm.%s" % self.mPalette)
except AttributeError:
raise ValueError("unknown palette '%s'" % self.mPalette)
else:
color_scheme = None
plots, labels = [], []
if self.split_cols == "auto":
self.split_cols = int(ncols / math.sqrt(ncols / nrows))
else:
self.split_cols = int(self.split_cols)
if self.split_rows == "auto":
self.split_rows = int(nrows / math.sqrt(nrows / ncols))
else:
self.split_rows = int(self.split_rows)
split_row = self.split_rows > 0 and nrows > self.split_rows
split_col = (self.split_cols > 0 and ncols > self.split_cols) or \
(self.split_cols == "auto")
# set consistent min/max values
if split_row or split_col:
if vmin is None:
vmin = numpy.nanmin(matrix)
if vmin == numpy.inf or vmin == -numpy.inf:
vmin = numpy.nanmin(matrix[matrix != vmin])
if vmax is None:
vmax = numpy.nanmax(matrix)
if vmax == numpy.inf or vmax == -numpy.inf:
vmax = numpy.nanmax(matrix[matrix != vmax])
if (split_row and split_col) or not (split_row or split_col):
self.debug("not splitting matrix")
# do not split small or symmetric matrices
cax = self.plotMatrix(matrix, row_headers, col_headers,
vmin, vmax, color_scheme)
plots.append(cax)
# plots, labels = None, None
self.rescaleForVerticalLabels(col_headers, cliplen=12)
self.addColourBar()
elif split_row:
nplots = int(math.ceil(float(nrows) / self.split_rows))
self.debug("splitting matrix at rows: {} * {} x {}".format(
nplots, self.split_rows, ncols))
# not sure why this switch to numbers - disable
# new_headers = ["%s" % (x + 1) for x in range(len(row_headers))]
new_headers = row_headers
for x in range(nplots):
plt.subplot(1, nplots, x + 1)
start = x * self.split_rows
end = start + min(nrows, self.split_rows)
cax = self.plotMatrix(matrix[start:end, :],
new_headers[start:end],
col_headers,
vmin, vmax,
color_scheme)
plots.append(cax)
# labels = ["%s: %s" % x for x in zip(new_headers, row_headers) ]
self.legend_location = "extra"
plt.subplots_adjust(**self.mMPLSubplotOptions)
self.addColourBar()
elif split_col:
nplots = int(math.ceil(float(ncols) / self.split_cols))
self.debug("splitting matrix at columns: {} * {} x {}".format(
nplots, nrows, self.split_cols))
# not sure why this switch to numbers - disable
# new_headers = ["%s" % (x + 1) for x in range(len(col_headers))]
new_headers = col_headers
for x in range(nplots):
plt.subplot(nplots, 1, x + 1)
start = x * self.split_cols
end = start + min(ncols, self.split_cols)
cax = self.plotMatrix(matrix[:, start:end],
row_headers,
new_headers[start:end],
vmin, vmax,
color_scheme)
plots.append(cax)
# labels = ["%s: %s" % x for x in zip(new_headers, col_headers) ]
self.legend_location = "extra"
plt.subplots_adjust(**self.mMPLSubplotOptions)
self.addColourBar(ax=cax)
self.debug("plot finished")
return self.endPlot(plots, labels, path)
class PlotterHinton(PlotterMatrix):
'''plot a hinton diagram.
Draws a Hinton diagram for visualizing a weight matrix.
The size of a box reflects the weight.
Taken from http://www.scipy.org/Cookbook/Matplotlib/HintonDiagrams
and modified to add colours, labels, etc.
'''
# column to use for error bars
colour_matrix = None
def __init__(self, *args, **kwargs):
PlotterMatrix.__init__(self, *args, **kwargs)
def addColourBar(self):
axc, kw = matplotlib.colorbar.make_axes(plt.gca())
cb = matplotlib.colorbar.ColorbarBase(axc,
cmap=self.color_scheme,
norm=self.normer)
cb.draw_all()
def buildMatrices(self, work, **kwargs):
'''build matrices necessary for plotting.
'''
self.colour_matrix = None
if self.colour:
# select label to take
labels = DataTree.getPaths(work)
label = list(set(labels[-1]).difference(set((self.colour,))))[0]
self.matrix, self.rows, self.columns = TableMatrix.buildMatrix(
self,
work,
apply_transformations=True,
take=label,
**kwargs
)
if self.colour and self.colour in labels[-1]:
self.colour_matrix, rows, colums = TableMatrix.buildMatrix(
self,
work,
apply_transformations=False,
take=self.colour,
**kwargs
)
else:
self.matrix, self.rows, self.columns = TableMatrix.buildMatrix(
self, work, **kwargs)
return self.matrix, self.rows, self.columns
def plotMatrix(self, weight_matrix,
row_headers, col_headers,
vmin, vmax,
color_scheme=None):
"""
Temporarily disables matplotlib interactive mode if it is on,
otherwise this takes forever.
"""
def _blob(x, y, area, colour):
"""
Draws a square-shaped blob with the given area (< 1) at
the given coordinates.
"""
hs = numpy.sqrt(area) / 2
xcorners = numpy.array([x - hs, x + hs, x + hs, x - hs])
ycorners = numpy.array([y - hs, y - hs, y + hs, y + hs])
plt.fill(xcorners, ycorners,
edgecolor=colour,
facecolor=colour)
plt.clf()
# convert to real-valued data
weight_matrix = numpy.nan_to_num(weight_matrix)
height, width = weight_matrix.shape
if vmax is None:
# 2**numpy.ceil(numpy.log(numpy.max(numpy.abs(weight_matrix)))/numpy.log(2))
vmax = weight_matrix.max()
if vmin is None:
vmin = weight_matrix.min()
scale = vmax - vmin
if self.colour_matrix is not None:
colour_matrix = self.colour_matrix
else:
colour_matrix = weight_matrix
cmin, cmax = colour_matrix.min(), colour_matrix.max()
plot = None
normer = matplotlib.colors.Normalize(cmin, cmax)
# save for colourbar
self.normer = normer
self.color_scheme = color_scheme
colours = normer(colour_matrix)
plt.axis('equal')
for x in range(width):
for y in range(height):
_x = x + 1
_y = y + 1
weight = weight_matrix[y, x] - vmin
_blob(_x - 0.5,
_y - 0.5,
weight / scale,
color_scheme(colours[y, x]))
offset = 0.5
xfontsize, col_headers = self.mFontSize, col_headers
yfontsize, row_headers = self.mFontSize, row_headers
plt.xticks([offset + x for x in range(len(col_headers))],
col_headers,
rotation="vertical",
fontsize=xfontsize)
plt.yticks([offset + y for y in range(len(row_headers))],
row_headers,
fontsize=yfontsize)
return plot
def on_draw(event):
'''resize for figure legend.'''
# locate figure and axes
canvas = event.canvas
fig = canvas.figure
axes = fig.gca()
# get figure coordinates
dpi = fig.get_dpi()
width, height = fig.get_size_inches()
max_x, max_y = dpi * width, dpi * height
# find legend and coords
for o in fig.findobj(matplotlib.legend.Legend):
legend = o
legend_coords = legend.get_window_extent().get_points()
legend_x, legend_y = legend_coords[1]
# re-scale
if legend_x > max_x:
scale_x = legend_x / max_x * 1.1
else:
scale_x = 1.0
if legend_y > max_y:
scale_y = legend_y / max_y * 1.1
else:
scale_y = 1.0
pos = axes.get_position()
# re-scale axes to create space for legend
axes.set_position((pos.xmin,
pos.ymin,
pos.width * 1.0 / scale_x,
pos.height * 1.0 / scale_y))
# scale figure
fig.set_figwidth(fig.get_figwidth() * scale_x)
fig.set_figheight(fig.get_figheight() * scale_y)
# redraw, temporarily disable event to avoid infinite recursion
func_handles = fig.canvas.callbacks.callbacks[event.name]
canvas.callbacks.callbacks[event.name] = {}
# redraw the figure..
canvas.draw()
# reset the draw event callbacks
fig.canvas.callbacks.callbacks[event.name] = func_handles
return False
def outer_legend(*args, **kwargs):
"""plot legend outside of plot by rescaling it.
Copied originally from
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg04256.html
but modified.
There were problems with the automatic re-scaling of the
plot. Basically, the legend size seemed to be unknown and set to
0,0,1,1. Only after plotting were the correct bbox coordinates
entered.
The current implementation allocates 3/4 of the canvas for the
legend and hopes for the best.
"""
# make a legend without the location
# remove the location setting from the kwargs
if 'loc' in kwargs:
loc = kwargs.pop('loc')
else:
loc == "outer-top"
if loc.endswith("right"):
leg = plt.legend(bbox_to_anchor=(1.05, 1), loc=2,
borderaxespad=0., mode="expand", *args, **kwargs)
elif loc.endswith("top"):
leg = plt.legend(
bbox_to_anchor=(0, 1.02, 1., 1.02), loc=3,
mode="expand", *args, **kwargs)
else:
raise ValueError("unknown legend location %s" % loc)
fig = plt.gcf()
cid = fig.canvas.mpl_connect('draw_event', on_draw)
return leg
# the following has been taken from
# http://www.scipy.org/Cookbook/Matplotlib/HintonDiagrams
def hinton(W, maxWeight=None):
"""
Draws a Hinton diagram for visualizing a weight matrix.
Temporarily disables matplotlib interactive mode if it is on,
otherwise this takes forever.
"""
def _blob(x, y, area, colour):
"""
Draws a square-shaped blob with the given area (< 1) at
the given coordinates.
"""
hs = numpy.sqrt(area) / 2
xcorners = numpy.array([x - hs, x + hs, x + hs, x - hs])
ycorners = numpy.array([y - hs, y - hs, y + hs, y + hs])
plt.fill(xcorners, ycorners, colour, edgecolor=colour)
reenable = False
if plt.isinteractive():
reenable = True
plt.ioff()
plt.clf()
height, width = W.shape
if not maxWeight:
maxWeight = 2 ** numpy.ceil(
numpy.log(numpy.max(numpy.abs(W))) / numpy.log(2))
plot = plt.fill(
numpy.array([0, width, width, 0]),
numpy.array([0, 0, height, height]), 'gray')
plt.axis('off')
plt.axis('equal')
for x in range(width):
for y in range(height):
_x = x + 1
_y = y + 1
w = W[y, x]
if w > 0:
_blob(
_x - 0.5, height - _y + 0.5,
min(1, w / maxWeight), 'white')
elif w < 0:
_blob(
_x - 0.5, height - _y + 0.5,
min(1, -w / maxWeight), 'black')
if reenable:
plt.ion()
return plot
class LinePlot(Renderer, Plotter):
'''create a line plot.
Plot lines from a dataframe. Separate lines are defined
by:
1. multiple columns in the dataframe
2. mulitple indices in the dataframe
This is a base class that provides several hooks for
derived classes.
initPlot()
for line, data in work:
initLine()
for label, coords in data:
xlabel, ylabels = initCoords()
for ylabel in ylabels:
addData(xlabel, ylabel)
finishCoords()
finishLine()
finishPlot()
This plotter accepts the following options:
:term:`as-lines`: do not plot symbols
:term:`yerror`: every second data track is a y error
'''
nlevels = 1
options = Plotter.options +\
(('as-lines', directives.flag),
('yerror', directives.flag),
)
# when splitting, keep first column (X coordinates)
split_keep_first_column = True
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
self.as_lines = "as-lines" in kwargs
# data to use for Y error bars
self.yerror = "yerror" in kwargs
# do not plot more than ten tracks in one plot
if self.split_at == 0:
self.split_at = 10
self.split_at = min(self.split_at, 10)
def initPlot(self, fig, dataseries, path):
'''initialize plot.'''
self.legend = []
self.plots = []
self.xlabels = []
self.ylabels = []
def getFormat(self, nplotted):
'''return tuple with color, linestyle and marker for
data series *n* within a plot.'''
color = self.format_colors[nplotted % len(self.format_colors)]
nplotted //= len(self.format_colors)
linestyle = self.format_lines[nplotted % len(self.format_lines)]
if self.as_lines:
marker = None
else:
nplotted //= len(self.format_lines)
marker = self.format_markers[nplotted % len(self.format_markers)]
return color, linestyle, marker
def addData(self,
xvals,
yvals,
xlabel,
ylabel,
nplotted,
yerrors=None):
xxvals, yyvals = Stats.filterNone((xvals, yvals))
color, linestyle, marker = self.getFormat(nplotted)
if yerrors:
self.plots.append(plt.errorbar(xxvals,
yyvals,
yerr=yerrors,
label=ylabel,
color=color,
linestyle=linestyle,
marker=marker))
else:
self.plots.append(plt.plot(xxvals,
yyvals,
color=color,
linestyle=linestyle,
marker=marker,
label=ylabel))
self.ylabels.append(path2str(ylabel))
self.xlabels.append(path2str(xlabel))
def initLine(self, line, data):
'''hook for code working on a line.'''
pass
def initCoords(self, label, coords):
'''hook for code working a collection of coords.
should return a single key for xvalues and
one or more keys for y-values.
'''
keys = list(coords.keys())
return keys[0], keys[1:]
def finishCoords(self, label, coords):
'''hook called after all coords have been processed.'''
pass
def finishPlot(self, fig, work, path):
'''hook called after plotting has finished.'''
plt.xlabel("-".join(set(self.xlabels)))
plt.ylabel("-".join(set(self.ylabels)))
def render(self, dataframe, path):
fig = self.startPlot()
self.initPlot(fig, dataframe, path)
nplotted = 0
columns = dataframe.columns
if len(columns) < 2:
raise ValueError(
'require at least two columns, got %i' % len(columns))
level = Utils.getGroupLevels(dataframe)
for key, work in dataframe.groupby(
level=level):
xvalues = work[columns[0]]
for column in work.columns[1:]:
self.initLine(column, work)
yvalues = work[column]
if len(xvalues) != len(yvalues):
raise ValueError(
"length of x,y tuples not consistent: "
"(%s) %i != (%s) %i" %
(columns[0],
len(xvalues),
column,
len(yvalues)))
self.initCoords(xvalues, yvalues)
self.addData(xvalues,
yvalues,
columns[0],
column,
nplotted)
nplotted += 1
self.legend.append(path2str(key) + "/" + path2str(column))
self.finishPlot(fig, dataframe, path)
return self.endPlot(self.plots, self.legend, path)
class HistogramPlot(LinePlot):
'''create a line plot.
This:class:`Renderer` requires at least three levels:
Currently the xvalues are interpreted as left bin sizes
and the last bin is the same width as the second to last
bin. This could be made more correct using the bins
from histogram directly.
line / data / coords.
'''
nlevels = 2
# column to use for error bars
error = None
options = LinePlot.options +\
(('error', directives.unchanged),)
def __init__(self, *args, **kwargs):
LinePlot.__init__(self, *args, **kwargs)
try:
self.error = kwargs["error"]
except KeyError:
pass
def initCoords(self, xvalues, yvalues):
'''collect error coords and compute bar width.'''
self.yerr = None
# locate error bars
# if self.error and self.error in coords:
# self.yerr = coords[self.error]
# ylabels = [ x for x in ylabels if x == self.error ]
# else:
# self.yerr = None
# compute bar widths
widths = []
xv = numpy.array(xvalues)
w = xv[0]
for x in xv[1:]:
widths.append(x - w)
w = x
widths.append(widths[-1])
self.widths = widths
def addData(self,
xvals,
yvals,
xlabel,
ylabel,
nplotted,
yerrors=None):
alpha = 1.0 / (nplotted + 1)
self.plots.append(plt.bar(
list(xvals),
list(yvals),
width=self.widths,
alpha=alpha,
yerr=self.yerr,
color=self.format_colors[nplotted % len(self.format_colors)],))
self.ylabels.append(path2str(ylabel))
self.xlabels.append(path2str(xlabel))
def finishPlot(self, fig, work, path):
LinePlot.finishPlot(self, fig, work, path)
# there is a problem with legends
# even though len(plts) == len(legend)
# matplotlib thinks there are more.
# In fact, it thinks it is len(plts) = len(legend) * len(xvals)
self.legend = None
class HistogramGradientPlot(LinePlot):
'''create a series of coloured bars from histogram data.
This:class:`Renderer` requires at least three levels:
line / data / coords.
'''
nlevels = 2
options = LinePlot.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('colorbar-format', directives.unchanged))
def __init__(self, *args, **kwargs):
LinePlot.__init__(self, *args, **kwargs)
try:
self.mBarFormat = kwargs["colorbar-format"]
except KeyError:
self.mBarFormat = "%1.1f"
try:
self.mPalette = kwargs["palette"]
except KeyError:
self.mPalette = "Blues"
self.mReversePalette = "reverse-palette" in kwargs
if self.mPalette:
if self.mReversePalette:
self.color_scheme = plt.get_cmap("%s_r" % self.mPalette)
else:
self.color_scheme = plt.get_cmap("%s" % self.mPalette)
else:
self.color_scheme = None
raise NotImplementedError(
'histogram-gradient-plot needs to be updated')
def initPlot(self, fig, dataseries, path):
LinePlot.initPlot(self, fig, dataseries, path)
# get min/max x and number of rows
xmin, xmax = None, None
ymin, ymax = None, None
nrows = 0
self.xvals = None
work = dataseries.unstack()
for line, data in list(work.items()):
for label, coords in list(data.items()):
try:
keys = list(coords.keys())
except AttributeError:
continue
if len(keys) <= 1:
continue
xvals = coords[keys[0]]
if self.xvals is None:
self.xvals = xvals
elif not numpy.all(self.xvals == xvals):
raise ValueError(
"Gradient-Histogram-Plot requires the same x values.")
if xmin is None:
xmin, xmax = min(xvals), max(xvals)
else:
xmin = min(xmin, min(xvals))
xmax = max(xmax, max(xvals))
for ylabel in keys[1:]:
yvals = coords[ylabel]
if ymin is None:
ymin, ymax = min(yvals), max(yvals)
else:
ymin = min(ymin, min(yvals))
ymax = max(ymax, max(yvals))
nrows += len(keys) - 1
self.nrows = nrows
self.ymin, self.ymax = ymin, ymax
if self.zrange:
self.ymin, self.ymax = self.zrange
def addData(self, line, label, xlabel, ylabel,
xvals, yvals, nplotted,
yerrors=None):
if self.zrange:
vmin, vmax = self.zrange
if vmin is None:
vmin = yvals.min()
if vmax is None:
vmax = yvals.max()
yvals[yvals < vmin] = vmin
yvals[yvals > vmax] = vmax
a = numpy.vstack((yvals, yvals))
ax = plt.subplot(self.nrows, 1, nplotted + 1)
self.plots.append(plt.imshow(a,
aspect='auto',
cmap=self.color_scheme,
origin='lower',
vmax=self.ymax,
vmin=self.ymin))
# add legend on left-hand side
pos = list(ax.get_position().bounds)
self.mCurrentFigure.text(pos[0] - 0.01,
pos[1],
line,
horizontalalignment='right')
ax = plt.gca()
plt.setp(ax.get_xticklabels(), visible=False)
plt.setp(ax.get_yticklabels(), visible=False)
def finishPlot(self, fig, work, path):
ax = plt.gca()
plt.setp(ax.get_xticklabels(), visible=True)
increment = len(self.xvals) // 5
ax.set_xticks(list(range(0, len(self.xvals), increment)))
ax.set_xticklabels([self.xvals[x]
for x in range(0, len(self.xvals), increment)])
LinePlot.finishPlot(self, fig, work, path)
self.legend = None
# add colorbar on the right
plt.subplots_adjust(bottom=0.1, right=0.8, top=0.9)
cax = plt.axes([0.85, 0.1, 0.075, 0.8])
plt.colorbar(cax=cax, format=self.mBarFormat)
class BarPlot(TableMatrix, Plotter):
'''A bar plot.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
'''
options = TableMatrix.options + Plotter.options +\
(('label', directives.unchanged),
('error', directives.unchanged),
('colour', directives.unchanged),
('transparency', directives.unchanged),
('bottom-value', directives.unchanged),
('orientation', directives.unchanged),
('first-is-offset', directives.unchanged),
('switch', directives.unchanged),
('bar-width', directives.unchanged),
)
# column to use for error bars
error = None
# column to use for labels
label = None
# column to use for custom colours
colour = None
# column to use for transparency values
# transparency does not work yet - bar plot does not
# accept a list of transparency values
transparency = None
# bottom value of bars (can be used to move intersection of x-axis with
# y-axis)
bottom_value = None
label_offset_x = 10
label_offset_y = 5
# orientation of bars
orientation = 'vertical'
# first row is offset (not plotted)
first_is_offset = False
# switch rows/columns
switch_row_col = False
# bar width (height for horizontal plots)
bar_width = 0.5
# always put multiple bars in a plot
group_level = -1
def __init__(self, *args, **kwargs):
TableMatrix.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
self.error = kwargs.get("error", None)
self.label = kwargs.get("label", None)
self.colour = kwargs.get("colour", None)
self.switch_row_col = 'switch' in kwargs
self.transparency = kwargs.get("transparency", None)
if self.transparency:
raise NotImplementedError("transparency not implemented yet")
self.orientation = kwargs.get('orientation', 'vertical')
if 'bar-width' in kwargs:
self.bar_width = float(kwargs.get('bar-width'))
self.barlog = False
if self.orientation == 'vertical':
# bar functions require log parameter
if self.logscale and "y" in self.logscale:
self.barlog = True
# erase other log transformations
self.logscale = None
self.plotf = plt.bar
else:
if self.logscale and "x" in self.logscale:
self.barlog = True
self.logscale = None
self.plotf = plt.barh
self.bottom_value = kwargs.get("bottom-value", None)
self.first_is_offset = 'first-is-offset' in kwargs
self.bar_patterns = list(itertools.product(self.mPatterns,
self.format_colors))
def addLabels(self, xvals, yvals, labels):
'''add labels at x,y at current plot.
'''
def coord_offset(ax, fig, x, y):
return matplotlib.transforms.offset_copy(
ax.transData,
fig, x=x, y=y, units='dots')
if self.orientation == 'horizontal':
xvals, yvals = yvals, xvals
ax = plt.gca()
trans = coord_offset(ax, self.mCurrentFigure,
self.label_offset_x,
self.label_offset_y)
for xval, yval, label in zip(xvals, yvals, labels):
ax.text(xval, yval, label, transform=trans)
def buildMatrices(self, dataframe):
'''build matrices necessary for plotting.
If a matrix only contains a single row, the matrix
is transposed.
'''
def _getMatrix(l, dataframe):
if l is None:
return None
m = dataframe[l]
try:
m = m.unstack()
return m.values
except AttributeError:
# is not a multi-index object, no need to unstack
m = m.values
m.shape = len(m), 1
return m
self.error_matrix = _getMatrix(self.error, dataframe)
self.label_matrix = _getMatrix(self.label, dataframe)
self.colour_matrix = _getMatrix(self.colour, dataframe)
self.transparency_matrix = _getMatrix(self.transparency, dataframe)
# remove the special columns
if self.error or self.label or self.colour or self.transparency:
dataframe = dataframe[
[x for x in dataframe.columns
if x not in (self.error, self.label,
self.colour, self.transparency)]]
# take first of the remaining columns ignoring the rest
try:
df = dataframe[dataframe.columns[0]].unstack()
except AttributeError:
# is not a multi-index object, no need to unstack
df = dataframe
self.rows = [path2str(x) for x in list(df.index)]
self.columns = list(df.columns)
self.data_matrix = df.values
if self.switch_row_col or self.data_matrix.shape[0] == 1:
if self.data_matrix is not None:
self.data_matrix = self.data_matrix.transpose()
if self.error_matrix is not None:
self.error_matrix = self.error_matrix.transpose()
if self.label_matrix is not None:
self.label_matrix = self.label_matrix.transpose()
if self.colour_matrix is not None:
self.colour_matrix = self.colour_matrix.transpose()
if self.transparency_matrix is not None:
self.transparency_matrix = self.transparency_matrix.transpose()
self.rows, self.columns = self.columns, self.rows
def getColour(self, idx, column):
'''return hatch and colour.'''
if self.transparency_matrix is not None:
alpha = self.transparency_matrix[:, column]
else:
alpha = None
# the colour plotting has a problem with arrays, return
# a list
if self.colour_matrix is not None:
color = list(self.colour_matrix[:, column])
hatch = None
else:
hatch, color = self.bar_patterns[idx % len(self.bar_patterns)]
return hatch, color, alpha
def addTicks(self, xvals):
'''add tick marks to plots.'''
rotation = "horizontal"
if self.orientation == "vertical":
if len(self.rows) > 5 or max([len(x) for x in self.rows]) >= 8:
rotation = "vertical"
self.rescaleForVerticalLabels(self.rows)
if self.orientation == 'vertical':
plt.xticks(
xvals + self.bar_width / 2., self.rows, rotation=rotation)
else:
plt.yticks(
xvals + self.bar_width / 2., self.rows, rotation=rotation)
locs, labels = plt.xticks()
plt.xticks(locs, labels, rotation='vertical')
def render(self, dataseries, path):
self.buildMatrices(dataseries)
self.startPlot()
plts = []
xvals = numpy.arange(0, len(self.rows))
# plot by row
y, error = 0, None
for column, header in enumerate(self.columns):
vals = self.data_matrix[:, column]
if self.error:
error = self.error_matrix[:, column]
# patch for wrong ylim. matplotlib will set the yrange
# inappropriately, if the first value is None or nan
# set to 0. Nan values elsewhere are fine.
if numpy.isnan(vals[0]) or numpy.isinf(vals[0]):
vals[0] = 0
hatch, color, alpha = self.getColour(y, column)
alpha = 1.0 / (len(plts) + 1)
if self.bottom_value is not None:
bottom = float(self.bottom_value)
else:
bottom = None
kwargs = {}
if self.orientation == 'vertical':
kwargs['bottom'] = bottom
else:
kwargs['left'] = bottom
plts.append(self.plotf(xvals,
vals,
self.bar_width,
yerr=error,
ecolor="black",
color=color,
hatch=hatch,
alpha=alpha,
log=self.barlog,
**kwargs)[0])
if self.label and self.label_matrix is not None:
self.addLabels(xvals, vals,
self.label_matrix[:, column])
y += 1
self.addTicks(xvals)
return self.endPlot(plts, self.columns, path)
class InterleavedBarPlot(BarPlot):
"""A plot with interleaved bars.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
"""
# always put multiple bars in a plot
# and multiple data points in a plot
group_level = -2
def __init__(self, *args, **kwargs):
BarPlot.__init__(self, *args, **kwargs)
def render(self, dataseries, path):
self.buildMatrices(dataseries)
self.startPlot()
width = 1.0 / (len(self.columns) + 1)
plts, error = [], None
xvals = numpy.arange(0, len(self.rows))
offset = width / 2.0
# plot by row
row = 0
for column, header in enumerate(self.columns):
vals = self.data_matrix[:, column]
if self.error:
error = self.error_matrix[:, column]
# patch for wrong ylim. matplotlib will set the yrange
# inappropriately, if the first value is None or nan
# set to 0. Nan values elsewhere are fine.
if vals[0] is None or numpy.isnan(vals[0]) or numpy.isinf(vals[0]):
vals[0] = 0
if self.error:
error[0] = 0
hatch, color, alpha = self.getColour(row, column)
if self.bottom_value is not None:
bottom = float(self.bottom_value)
else:
bottom = None
kwargs = {}
if self.orientation == 'vertical':
kwargs['bottom'] = bottom
else:
kwargs['left'] = bottom
plts.append(self.plotf(xvals + offset,
vals,
width,
yerr=error,
align="edge",
ecolor="black",
color=color,
hatch=hatch,
alpha=alpha,
log=self.barlog,
**kwargs)[0])
if self.label and self.label_matrix is not None:
self.addLabels(xvals + offset,
vals,
self.label_matrix[:, column])
offset += width
row += 1
self.addTicks(xvals)
return self.endPlot(plts, self.columns, path)
class StackedBarPlot(BarPlot):
"""A plot with stacked bars.
This:class:`Renderer` requires two levels:
rows[dict] / cols[dict]
"""
# always put multiple bars in a plot
# and multiple data points in a plot
group_level = -2
def __init__(self, *args, **kwargs):
BarPlot.__init__(self, *args, **kwargs)
def render(self, dataseries, path):
self.buildMatrices(dataseries)
self.startPlot()
plts = []
xvals = numpy.arange((1.0 - self.bar_width) / 2.,
len(self.rows),
dtype=numpy.float)
sums = numpy.zeros(len(self.rows),
dtype=numpy.float)
y, error, is_first = 0, None, True
legend = []
colour_offset = 0
for column, header in enumerate(self.columns):
# cast to float, otherwise numpy complains
# about unsafe casting
vals = numpy.array(self.data_matrix[:, column],
dtype=float)
if self.error:
error = self.error_matrix[:, column]
# patch for wrong ylim. matplotlib will set the yrange
# inappropriately, if the first value is None or nan
# set to 0. Nan values elsewhere are fine.
if vals[0] is None or numpy.isnan(vals[0]) or numpy.isinf(vals[0]):
vals[0] = 0
if self.error:
error[0] = 0
kwargs = {}
if self.orientation == 'vertical':
kwargs['bottom'] = sums
else:
kwargs['left'] = sums
# do not plot if first value
if self.first_is_offset and is_first:
is_first = False
sums += vals
y += 1
# ensure plot starts from 0 unless explicitely given.
# if self.orientation == 'vertical':
# if self.yrange == None: self.yrange = (0,None)
# else:
# if self.xrange == None: self.xrange = (0,None)
colour_offset = 1
continue
hatch, color, alpha = self.getColour(y, column - colour_offset)
plts.append(self.plotf(xvals,
vals,
self.bar_width,
yerr=error,
color=color,
hatch=hatch,
alpha=alpha,
ecolor="black",
log=self.barlog,
**kwargs)[0])
if self.label and self.label_matrix is not None:
self.addLabels(xvals, vals, self.label_matrix[:, column])
legend.append(header)
sums += vals
y += 1
self.addTicks(xvals)
return self.endPlot(plts, legend, path)
class DataSeriesPlot(Renderer, Plotter):
"""Plot one or more data series within a single plot.
The data series is given as a hierachically indexed
(melted) data series or multiple columns.
This:class:`Renderer` requires two levels.
labels[dict] / data[array]
"""
options = Renderer.options + Plotter.options
nlevels = 1
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
def render(self, dataframe, path):
plts, legend = [], []
self.startPlot()
if len(dataframe.columns) == 1:
# in hierarchical indices, get rid of superfluous
# levels (often these are row numbers)
if isinstance(dataframe.index,
pandas.MultiIndex):
todrop = []
for x, level in enumerate(dataframe.index.levels):
if len(level) == len(dataframe.index):
todrop.append(x)
dd = dataframe.reset_index(
todrop,
drop=True)
# convert to single-level index
dd.index = list(map(path2str, dd.index))
else:
dd = dataframe
# convert index to columns
dd = dd.reset_index()
assert len(dd.columns) == 2
dd.columns = ('label', 'value')
melted = True
else:
dd = dataframe
melted = False
plts.extend(self.plotData(dd, melted))
self.updatePlot()
return self.endPlot(plts, None, path)
def updatePlot(self):
ax = plt.gca()
labels = ax.xaxis.get_majorticklabels()
if len(labels) > 5:
for x in labels:
x.set_rotation(90)
class MultipleSeriesPlot(Renderer, Plotter):
"""Plot data according to different orientations.
If the dataframe has only a single column, create a single plot
with row names as keys and the column as values.
If the dataframe has multiple columns, create one plot
for each row with the column headers as keys and the
row as values.
"""
options = Renderer.options + Plotter.options
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
def render(self, dataframe, path):
blocks = ResultBlocks()
if len(dataframe.columns) == 1:
keys = tuple(dataframe.index)
values = tuple(dataframe.iloc[:, 0])
blocks.extend(self.plot(keys, values, path))
else:
for title, row in dataframe.iterrows():
row = row[row.notnull()]
keys = tuple(row.index)
values = tuple(row)
blocks.extend(
self.plot(keys, values,
title + path))
return blocks
def updatePlot(self, legend):
return
class PlotByRow(Renderer, Plotter):
'''Create multiple plots from a dataframe in row-wise fashion.
Currently not used by any subclass.
'''
nlevels = 1
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
def render(self, dataframe, path):
blocks = ResultBlocks()
for title, row in dataframe.iterrows():
row = row[row.notnull()]
values = row.tolist()
headers = list(row.index)
blocks.extend(self.plot(headers, values, path))
return blocks
class PiePlot(MultipleSeriesPlot):
"""A pie chart.
If *pie-first-is-total* is set, the first entry
is assumed to be the total and all the other values
are subtracted. It is renamed by the value of *pie-first-is-total*.
"""
options = TableMatrix.options + Plotter.options +\
(('pie-min-percentage', directives.unchanged),
('pie-first-is-total', directives.unchanged),)
# Do not group data
group_level = 'force-none'
def __init__(self, *args, **kwargs):
MultipleSeriesPlot.__init__(self, *args, **kwargs)
self.mPieMinimumPercentage = float(kwargs.get("pie-min-percentage", 0))
self.mFirstIsTotal = kwargs.get("pie-first-is-total", None)
# store a list of sorted headers to ensure the same sort order
# in all plots.
self.sorted_keys = odict()
def plot(self, keys, values, path):
# If there is only a single column, keys will be
# the sample, not the category
if len(keys) == 1:
if self.mFirstIsTotal:
keys = [self.mFirstIsTotal]
for x in keys:
if x not in self.sorted_keys:
self.sorted_keys[x] = len(self.sorted_keys)
sorted_vals = [0] * len(self.sorted_keys)
for key, value in zip(keys, values):
if value < self.mPieMinimumPercentage:
sorted_vals[self.sorted_keys[key]] = 0
if "other" not in self.sorted_keys:
self.sorted_keys["other"] = len(self.sorted_keys)
sorted_vals.append(0)
sorted_vals[self.sorted_keys["other"]] += value
else:
sorted_vals[self.sorted_keys[key]] = value
labels = list(self.sorted_keys.keys())
self.startPlot()
if sum(sorted_vals) == 0:
return self.endPlot(None, None, path)
# subtract others from total - rest
if self.mFirstIsTotal and len(sorted_vals) > 1:
sorted_vals[0] -= sum(sorted_vals[1:])
if sorted_vals[0] < 0:
raise ValueError(
"option first-is-total used, but first (%i) < rest (%i)" %
(sorted_vals[0] + sum(sorted_vals[1:]),
sum(sorted_vals[1:])))
labels[0] = self.mFirstIsTotal
return self.endPlot(plt.pie(sorted_vals, labels=labels),
None,
path)
class TableMatrixPlot(TableMatrix, PlotterMatrix):
"""Render a matrix as a matrix plot.
"""
options = TableMatrix.options + PlotterMatrix.options
def __init__(self, *args, **kwargs):
TableMatrix.__init__(self, *args, **kwargs)
PlotterMatrix.__init__(self, *args, **kwargs)
def render(self, work, path):
"""render the data."""
self.debug("building matrix started")
matrix, rows, columns = self.buildMatrix(work)
self.debug("building matrix finished")
return self.plot(matrix, rows, columns, path)
# for compatibility
MatrixPlot = TableMatrixPlot
class NumpyMatrixPlot(NumpyMatrix, PlotterMatrix):
"""Render a matrix as a matrix plot.
"""
options = NumpyMatrix.options + PlotterMatrix.options
def __init__(self, *args, **kwargs):
NumpyMatrix.__init__(self, *args, **kwargs)
PlotterMatrix.__init__(self, *args, **kwargs)
def render(self, work, path):
"""render the data."""
self.debug("building matrix started")
matrix, rows, columns = self.buildMatrix(work)
self.debug("building matrix finished")
return self.plot(matrix, rows, columns, path)
class HintonPlot(TableMatrix, PlotterHinton):
"""Render a matrix as a hinton plot.
Draws a Hinton diagram for visualizing a weight matrix.
The size of a box reflects the weight.
This class adds the following options to the:term:`report` directive:
:term:`colours`: colour boxes according to value.
"""
options = TableMatrix.options + PlotterHinton.options +\
(('colours', directives.unchanged),
)
# column to use for error bars
colour = None
def __init__(self, *args, **kwargs):
TableMatrix.__init__(self, *args, **kwargs)
PlotterHinton.__init__(self, *args, **kwargs)
self.colour = kwargs.get("colour", None)
if self.colour:
self.nlevels += 1
def render(self, work, path):
"""render the data."""
matrix, rows, columns = self.buildMatrices(work)
return self.plot(matrix, rows, columns, path)
class GalleryPlot(PlotByRow):
'''Plot an image.
'''
options = Renderer.options + Plotter.options + (
('original', directives.flag),
('regex-title', directives.unchanged),
)
nlevels = 1
def __init__(self, *args, **kwargs):
PlotByRow.__init__(self, *args, **kwargs)
self.use_original = "original" in kwargs
if "regex-title" in kwargs:
self.regex_title = re.compile(kwargs["regex-title"])
else:
self.regex_title = None
def plot(self, headers, values, path):
blocks = ResultBlocks()
dataseries = dict(list(zip(headers, values)))
if "filename" in dataseries:
# return value is a series
filename = dataseries['filename']
elif len(values) == 1:
filename = values[0]
else:
self.warn(
"no 'filename' key in path %s" % (path2str(path)))
return blocks
rst_text = '''.. figure:: /%(absfn)s
'''
# Warning: the link here will be invalid
# if a report is moved.
rst_link = '''* :download:`%(title)s </%(absfn)s>`
'''
plts = []
absfn = os.path.abspath(filename)
if self.regex_title:
title = self.regex_title.search(filename).groups()[0]
else:
title = os.path.basename(filename)
if self.use_original:
return ResultBlocks(ResultBlock(text=rst_text % locals(),
title=title))
# do not render svg images
elif filename.endswith(".svg"):
return ResultBlocks(ResultBlock(text=rst_text % locals(),
title=title))
# do not render pdf images
elif filename.endswith(".pdf"):
return ResultBlocks(ResultBlock(text=rst_link % locals(),
title=title))
self.startPlot()
try:
data = plt.imread(filename)
except IOError:
raise ValueError(
"file format for file '%s' not recognized" % filename)
ax = plt.gca()
ax.frameon = False
ax.axison = False
# remove excess space around the image
plt.tight_layout(pad=0)
# Create a plot which the same shape as the original plot
im_aspect = float(data.shape[0]) / float(data.shape[1])
plt_size = self.mCurrentFigure.get_size_inches()
self.mCurrentFigure.set_figheight(plt_size[0] * im_aspect)
plts.append(plt.imshow(data))
ax.set_position([0, 0, 1, 1])
title = dataseries.get("name", title)
r = ResultBlock("\n".join(
("#$mpl {}.{}$#".format(
path2key(path),
self.get_figure_id()),
"",
"")), title=title)
return ResultBlocks(r)
class Text(PlotByRow):
'''Insert data as quoted text
'''
options = Renderer.options + Plotter.options +\
(('language', directives.unchanged),
)
nlevels = 1
language = "guess"
def __init__(self, *args, **kwargs):
PlotByRow.__init__(self, *args, **kwargs)
self.language = kwargs.get("language", "guess")
def plot(self, headers, values, path):
blocks = ResultBlocks()
dataseries = dict(list(zip(headers, values)))
if "filename" in dataseries:
# return value is a series
filename = dataseries['filename']
elif len(values) == 1:
filename = values[0]
else:
self.warn(
"no 'filename' key in path %s" % (path2str(path)))
return blocks
name = dataseries.get("name", path2str(path))
# todo: permit gzip'ed files
with open(filename) as inf:
lines = inf.readlines()
lines = [" {}".format(x) for x in lines]
rst_text = ".. code-block:: {}\n\n{}".format(
self.language, "".join(lines))
return ResultBlocks(ResultBlock(text=rst_text,
title=name))
class ScatterPlot(Renderer, Plotter):
"""Scatter plot.
The different tracks will be displayed with different colours.
This:class:`Renderer` requires two levels:
track[dict] / coords[dict]
:regression:
int
add linear regression function of a certain degree
(straight line is degree 1).
"""
options = Renderer.options + Plotter.options +\
(('regression', directives.unchanged),
)
nlevels = 1
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
# plt.scatter does not permitting setting
# options in rcParams - hence the parameters
# are parsed explicitely here
self.markersize = self.mMPLRC.get(
"lines.markersize",
plt.rcParams.get("lines.markersize", 6))
self.markeredgewidth = self.mMPLRC.get(
"lines.markeredgewith",
plt.rcParams.get("lines.markeredgewidth",
0.5))
self.regression = int(kwargs.get("regression", 0))
def render(self, dataframe, path):
nplotted = 0
plts, legend = [], []
xlabels, ylabels = [], []
columns = dataframe.columns
if len(columns) < 2:
raise ValueError(
'require at least two columns, got %i' % len(columns))
level = Utils.getGroupLevels(dataframe)
xcolumn = columns[0]
started = False
for key, work in dataframe.groupby(
level=level):
for column in columns[1:]:
# remove missing data points
xvalues, yvalues = Stats.filterMissing(
(work[xcolumn], work[column]))
# remove columns with all NaN
if len(xvalues) == 0 or len(yvalues) == 0:
continue
if not started:
self.startPlot()
started = True
marker = self.format_markers[
nplotted % len(self.format_markers)]
color = self.format_colors[
nplotted % len(self.format_colors)]
# plt.scatter does not permitting setting
# options in rcParams, so all is explict
plts.append(plt.scatter(
xvalues,
yvalues,
marker=marker,
c=color,
linewidths=self.markeredgewidth,
s=self.markersize))
label = path2str(key) + "/" + path2str(column)
legend.append(label)
if self.regression:
coeffs = numpy.polyfit(xvalues, yvalues, self.regression)
p = numpy.poly1d(coeffs)
svals = sorted(xvalues)
plts.append(plt.plot(svals,
[p(x) for x in svals],
c=color,
marker='None'))
legend.append("regression %s" % label)
nplotted += 1
plt.xlabel(xcolumn)
plt.ylabel(":".join(map(str, columns[1:])))
return self.endPlot(plts, legend, path)
class ScatterPlotWithColor(ScatterPlot):
"""Scatter plot with individual colors for each dot.
This class adds the following options to the:term:`report` directive:
:term:`colorbar-format`: numerical format for the colorbar.
:term:`palette`: numerical format for the colorbar.
:term:`zrange`: restrict plot a part of the z-axis.
This:class:`Renderer` requires one level:
coords[dict]
"""
options = Renderer.options + Plotter.options +\
(('palette', directives.unchanged),
('reverse-palette', directives.flag),
('colorbar-format', directives.unchanged))
nlevels = 2
def __init__(self, *args, **kwargs):
ScatterPlot.__init__(self, *args, **kwargs)
try:
self.mBarFormat = kwargs["colorbar-format"]
except KeyError:
self.mBarFormat = "%1.1f"
try:
self.mPalette = kwargs["palette"]
except KeyError:
self.mPalette = "jet"
self.mReversePalette = "reverse-palette" in kwargs
def render(self, dataframe, path):
self.startPlot()
plts = []
if self.mPalette:
if self.mReversePalette:
color_scheme = eval("plt.cm.%s_r" % self.mPalette)
else:
color_scheme = eval("plt.cm.%s" % self.mPalette)
else:
color_scheme = None
nplotted = 0
plts, legend = [], []
xlabels, ylabels = [], []
assert len(dataframe.columns) >= 3, \
"expected at least three columns, got %i: %s" % (dataframe.columns)
xcolumn, ycolumn, zcolumn = dataframe.columns[:3]
xvalues, yvalues, zvalues = dataframe[xcolumn], dataframe[ycolumn], \
dataframe[zcolumn]
xvals, yvals, zvals = Stats.filterMissing((xvalues, yvalues, zvalues))
if len(xvalues) == 0 or len(yvalues) == 0 or len(zvalues) == 0:
raise ValueError("no data")
if self.zrange:
vmin, vmax = self.zrange
zvals = numpy.array(zvals)
zvals[zvals < vmin] = vmin
zvals[zvals > vmax] = vmax
else:
vmin, vmax = None, None
marker = self.format_markers[nplotted % len(self.format_markers)]
# plt.scatter does not permitting setting
# options in rcParams, so all is explict
plts.append(plt.scatter(xvalues,
yvalues,
marker=marker,
s=self.markersize,
c=zvalues,
linewidths=self.markeredgewidth,
cmap=color_scheme,
vmax=vmax,
vmin=vmin))
nplotted += 1
xlabels.append(xcolumn)
ylabels.append(ycolumn)
cb = plt.colorbar(format=self.mBarFormat)
cb.ax.set_xlabel(zcolumn)
plt.xlabel(":".join(set(xlabels)))
plt.ylabel(":".join(set(ylabels)))
return self.endPlot(plts, None, path)
class VennPlot(Renderer, Plotter):
'''plot a two and three circle venn diagramm.
This:term:`renderer` plots a Venn diagramm.
The dictionary should contain the elements
* ('10', '01', and '11') for a two-circle Venn diagram.
* ('100', '010', '110', '001', '101', '011', '111')
for a three-circle Venn diagram.
When plotting, the function looks for the first 3 or 7 element dictionary
and the first 3 or 7 element list.
data[dict]
'''
options = Renderer.options + Plotter.options
# no grouping
group_level = -1
def __init__(self, *args, **kwargs):
Renderer.__init__(self, *args, **kwargs)
Plotter.__init__(self, *args, **kwargs)
def render(self, dataframe, path):
if matplotlib_venn is None:
raise ValueError("library matplotlib_venn not available")
if "names" not in dataframe.index.names:
raise ValueError(
"expected 'names' in index, got %s" %
str(dataframe.index.names))
keys = tuple(dataframe.index.get_level_values('names'))
plts = []
self.startPlot()
for column in dataframe.columns:
values = tuple(dataframe[column])
subsets = dict(list(zip(keys, values)))
if "labels" in subsets:
setlabels = subsets["labels"]
del subsets["labels"]
if subsets is None:
self.warn(
"no suitable data for Venn diagram at %s" % str(path))
return self.endPlot(plts, None, path)
if len(subsets) == 3:
if 0 in (subsets['10'], subsets['01']):
self.warn("empty sets for Venn diagram at %s" % str(path))
return self.endPlot(plts, None, path)
if setlabels:
if len(setlabels) != 2:
raise ValueError("require two labels, got %i" %
len(setlabels))
plts.append(matplotlib_venn.venn2(subsets,
set_labels=setlabels))
elif len(subsets) == 7:
if 0 in (subsets['100'], subsets['010'], subsets['001']):
self.warn("empty sets for Venn diagram at %s" % str(path))
return self.endPlot(plts, None, path)
if setlabels:
if len(setlabels) != 3:
raise ValueError("require three labels, got %i" %
len(setlabels))
plts.append(matplotlib_venn.venn3(subsets,
set_labels=setlabels))
else:
raise ValueError(
"require 3 or 7 values for a Venn diagramm, got %i" %
len(subsets))
return self.endPlot(plts, None, path)
| 36,708 | 0 | 1,331 |
f41d2d839f67d0ab2bd7e5f804f893ad192a9523 | 13,544 | py | Python | numba/cfg.py | teoliphant/numba | a2a05737b306853c86c61ef6620c2cc43cb28c18 | [
"BSD-2-Clause"
] | 3 | 2015-08-28T21:13:58.000Z | 2022-01-21T17:02:14.000Z | numba/cfg.py | teoliphant/numba | a2a05737b306853c86c61ef6620c2cc43cb28c18 | [
"BSD-2-Clause"
] | null | null | null | numba/cfg.py | teoliphant/numba | a2a05737b306853c86c61ef6620c2cc43cb28c18 | [
"BSD-2-Clause"
] | null | null | null | #! /usr/bin/env python
# ______________________________________________________________________
'''cfg
Defines the ControlFlowGraph class, which is used by the Numba
translator to perform accurate phi node generation.
When used as the main module, displays the control flow graph for
arguments of the form <module.module_fn>. Example:
% python -m numba.cfg test_while.while_loop_fn_0
'''
# ______________________________________________________________________
import opcode
import pprint
from .utils import itercode
import sys
# ______________________________________________________________________
# ______________________________________________________________________
# ______________________________________________________________________
if __name__ == "__main__":
import sys
main(*sys.argv[1:])
# ______________________________________________________________________
# End of cfg.py
| 38.477273 | 79 | 0.589929 | #! /usr/bin/env python
# ______________________________________________________________________
'''cfg
Defines the ControlFlowGraph class, which is used by the Numba
translator to perform accurate phi node generation.
When used as the main module, displays the control flow graph for
arguments of the form <module.module_fn>. Example:
% python -m numba.cfg test_while.while_loop_fn_0
'''
# ______________________________________________________________________
import opcode
import pprint
from .utils import itercode
import sys
# ______________________________________________________________________
class ControlFlowGraph (object):
def __init__ (self):
self.blocks = {}
self.blocks_in = {}
self.blocks_out = {}
self.blocks_reads = {}
self.blocks_writes = {}
self.blocks_writer = {}
self.blocks_dom = {}
self.blocks_reaching = {}
def add_block (self, key, value = None):
self.blocks[key] = value
if key not in self.blocks_in:
self.blocks_in[key] = set()
self.blocks_out[key] = set()
self.blocks_reads[key] = set()
self.blocks_writes[key] = set()
self.blocks_writer[key] = {}
def add_edge (self, from_block, to_block):
self.blocks_out[from_block].add(to_block)
self.blocks_in[to_block].add(from_block)
@classmethod
def build_cfg (cls, code_obj, *args, **kws):
ret_val = cls(*args, **kws)
opmap = opcode.opname
ret_val.crnt_block = 0
ret_val.code_len = len(code_obj.co_code)
ret_val.add_block(0)
ret_val.blocks_writes[0] = set(range(code_obj.co_argcount))
last_was_jump = True # At start there is no prior basic block
# to link up with, so skip building a
# fallthrough edge.
for i, op, arg in itercode(code_obj.co_code):
if i in ret_val.blocks:
if not last_was_jump:
ret_val.add_edge(ret_val.crnt_block, i)
ret_val.crnt_block = i
last_was_jump = False
method_name = "op_" + opmap[op]
if hasattr(ret_val, method_name):
last_was_jump = getattr(ret_val, method_name)(i, op, arg)
del ret_val.crnt_block, ret_val.code_len
return ret_val
# NOTE: The following op_OPNAME methods are correct for Python
# semantics, but may be overloaded for Numba-specific semantics.
def op_FOR_ITER (self, i, op, arg):
self.add_block(i)
self.add_edge(self.crnt_block, i)
self.add_block(i + arg + 3)
self.add_edge(i, i + arg + 3)
self.add_block(i + 3)
self.add_edge(i, i + 3)
self.crnt_block = i
return False
def op_JUMP_ABSOLUTE (self, i, op, arg):
self.add_block(arg)
self.add_edge(self.crnt_block, arg)
self.add_block(i + 3)
return True
def op_JUMP_FORWARD (self, i, op, arg):
target = i + arg + 3
self.add_block(target)
self.add_edge(self.crnt_block, target)
self.add_block(i + 3)
return True
def op_JUMP_IF_FALSE_OR_POP (self, i, op, arg):
raise NotImplementedError('FIXME')
op_JUMP_IF_TRUE_OR_POP = op_JUMP_IF_FALSE_OR_POP
def op_LOAD_FAST (self, i, op, arg):
self.blocks_reads[self.crnt_block].add(arg)
return False
def op_POP_JUMP_IF_FALSE (self, i, op, arg):
self.add_block(i + 3)
self.add_block(arg)
self.add_edge(self.crnt_block, i + 3)
self.add_edge(self.crnt_block, arg)
return True
op_POP_JUMP_IF_TRUE = op_POP_JUMP_IF_FALSE
def op_RETURN_VALUE (self, i, op, arg):
if i + 1 < self.code_len:
self.add_block(i + 1)
return True
def op_SETUP_LOOP (self, i, op, arg):
self.add_block(i + 3)
self.add_edge(self.crnt_block, i + 3)
return True # This is not technically a jump, but we've
# already built the proper CFG edges, so skip the
# fallthrough plumbing.
def _writes_local (self, block, write_instr_index, local_index):
self.blocks_writes[block].add(local_index)
block_writers = self.blocks_writer[block]
old_index = block_writers.get(local_index, -1)
# This checks for a corner case that would impact
# numba.translate.Translate.build_phi_nodes().
assert old_index != write_instr_index, (
"Found corner case for STORE_FAST at a CFG join!")
block_writers[local_index] = max(write_instr_index, old_index)
def op_STORE_FAST (self, i, op, arg):
self._writes_local(self.crnt_block, i, arg)
return False
def compute_dataflow (self):
'''Compute the dominator and reaching dataflow relationships
in the CFG.'''
blocks = set(self.blocks.keys())
nonentry_blocks = blocks.copy()
for block in blocks:
self.blocks_dom[block] = blocks
self.blocks_reaching[block] = set((block,))
if len(self.blocks_in[block]) == 0:
self.blocks_dom[block] = set((block,))
nonentry_blocks.remove(block)
changed = True
while changed:
changed = False
for block in nonentry_blocks:
olddom = self.blocks_dom[block]
newdom = set.intersection(*[self.blocks_dom[pred]
for pred in self.blocks_in[block]])
newdom.add(block)
if newdom != olddom:
changed = True
self.blocks_dom[block] = newdom
oldreaching = self.blocks_reaching[block]
newreaching = set.union(
*[self.blocks_reaching[pred]
for pred in self.blocks_in[block]])
newreaching.add(block)
if newreaching != oldreaching:
changed = True
self.blocks_reaching[block] = newreaching
return self.blocks_dom, self.blocks_reaching
def update_for_ssa (self):
'''Modify the blocks_writes map to reflect phi nodes inserted
for static single assignment representations.'''
joins = [block for block in self.blocks.iterkeys()
if len(self.blocks_in[block]) > 1]
changed = True
while changed:
changed = False
for block in joins:
phis_needed = self.phi_needed(block)
for affected_local in phis_needed:
if affected_local not in self.blocks_writes[block]:
changed = True
# NOTE: For this to work, we assume that basic
# blocks are indexed by their instruction
# index in the VM bytecode.
self._writes_local(block, block, affected_local)
def idom (self, block):
'''Compute the immediate dominator (idom) of the given block
key. Returns None if the block has no in edges.
Note that in the case where there are multiple immediate
dominators (a join after a non-loop branch), this returns one
of the predecessors, but is not guaranteed to reliably select
one over the others (depends on the ordering of the set type
iterator).'''
preds = self.blocks_in[block]
npreds = len(preds)
if npreds == 0:
ret_val = None
elif npreds == 1:
ret_val = tuple(preds)[0]
else:
ret_val = [pred for pred in preds
if block not in self.blocks_dom[pred]][0]
return ret_val
def block_writes_to_writer_map (self, block):
ret_val = {}
for local in self.blocks_writes[block]:
ret_val[local] = block
return ret_val
def get_reaching_definitions (self, block):
'''Return a nested map for the given block
s.t. ret_val[pred][local] equals the block key for the
definition of local that reaches the argument block via that
predecessor.
Useful for actually populating phi nodes, once you know you
need them.'''
has_memoized = hasattr(self, 'reaching_definitions')
if has_memoized and block in self.reaching_definitions:
ret_val = self.reaching_definitions[block]
else:
preds = self.blocks_in[block]
ret_val = {}
for pred in preds:
ret_val[pred] = self.block_writes_to_writer_map(pred)
crnt = self.idom(pred)
while crnt != None:
crnt_writer_map = self.block_writes_to_writer_map(crnt)
# This order of update favors the first definitions
# encountered in the traversal since the traversal
# visits blocks in reverse execution order.
crnt_writer_map.update(ret_val[pred])
ret_val[pred] = crnt_writer_map
crnt = self.idom(crnt)
if not has_memoized:
self.reaching_definitions = {}
self.reaching_definitions[block] = ret_val
return ret_val
def nreaches (self, block):
'''For each local, find the number of unique reaching
definitions the current block has.'''
# Slice and dice the idom tree so that each predecessor claims
# at most one definition so we don't end up over or
# undercounting.
preds = self.blocks_in[block]
idoms = {}
idom_writes = {}
# Fib a little here to truncate traversal in loops if they are
# being chased before the actual idom of the current block has
# been handled.
visited = preds.copy()
for pred in preds:
idoms[pred] = set((pred,))
idom_writes[pred] = self.blocks_writes[pred].copy()
# Traverse up the idom tree, adding sets of writes as we
# go.
crnt = self.idom(pred)
while crnt != None and crnt not in visited:
idoms[pred].add(crnt)
idom_writes[pred].update(self.blocks_writes[crnt])
visited.add(crnt)
crnt = self.idom(crnt)
all_writes = set.union(*[idom_writes[pred] for pred in preds])
ret_val = {}
for local in all_writes:
ret_val[local] = sum((1 if local in idom_writes[pred] else 0
for pred in preds))
return ret_val
def phi_needed (self, join):
'''Return the set of locals that will require a phi node to be
generated at the given join.'''
nreaches = self.nreaches(join)
return set([local for local in nreaches.iterkeys()
if nreaches[local] > 1])
def pprint (self, *args, **kws):
pprint.pprint(self.__dict__)
def to_dot (self, graph_name = None):
'''Return a dot (digraph visualizer in Graphviz) graph
description as a string.'''
if graph_name is None:
graph_name = 'CFG_%d' % id(self)
lines_out = []
for block_index in self.blocks:
lines_out.append(
'BLOCK_%r [shape=box, label="BLOCK_%r\\nr: %r, w: %r"];' %
(block_index, block_index,
tuple(self.blocks_reads[block_index]),
tuple(self.blocks_writes[block_index])))
for block_index in self.blocks:
for out_edge in self.blocks_out[block_index]:
lines_out.append('BLOCK_%r -> BLOCK_%r;' %
(block_index, out_edge))
return 'digraph %s {\n%s\n}\n' % (graph_name, '\n'.join(lines_out))
# ______________________________________________________________________
def main (*args, **kws):
import getopt, importlib
def get_module_member (member_path):
ret_val = None
module_split = member_path.rsplit('.', 1)
if len(module_split) > 1:
module = importlib.import_module(module_split[0])
ret_val = getattr(module, module_split[1])
return ret_val
opts, args = getopt.getopt(args, 'dC:D:')
kws.update(opts)
dot_out = None
cls = ControlFlowGraph
for opt_key, opt_val in kws.iteritems():
if opt_key == '-d':
dot_out = sys.stdout
elif opt_key in ('-D', 'dot'):
dot_out = open(opt_val, "w")
elif opt_key in ('-C', 'cfg_cls'):
cls = get_module_member(opt_val)
for arg in args:
func = get_module_member(arg)
if func is None:
print("Don't know how to handle %r, expecting <module.member> "
"arguments. Skipping..." % (arg,))
elif not hasattr(func, 'func_code'):
print("Don't know how to handle %r, module member does not "
"have a code object. Skipping..." % (arg,))
else:
cfg = cls.build_cfg(func.func_code)
cfg.compute_dataflow()
if dot_out is not None:
dot_out.write(cfg.to_dot())
else:
cfg.pprint()
# ______________________________________________________________________
if __name__ == "__main__":
import sys
main(*sys.argv[1:])
# ______________________________________________________________________
# End of cfg.py
| 5,023 | 7,561 | 46 |
923ab395a5c0601130854e6eccfcfcd208cb917c | 1,814 | py | Python | local/unblind.py | pscott/stardrop | 738c95f633bf79a53e99c4ba2c244c52c87b49a1 | [
"Apache-2.0"
] | 7 | 2021-07-30T04:19:46.000Z | 2022-02-07T16:12:54.000Z | local/unblind.py | pscott/stardrop | 738c95f633bf79a53e99c4ba2c244c52c87b49a1 | [
"Apache-2.0"
] | 9 | 2021-07-24T16:34:21.000Z | 2021-07-29T11:01:26.000Z | local/unblind.py | pscott/stardrop | 738c95f633bf79a53e99c4ba2c244c52c87b49a1 | [
"Apache-2.0"
] | 2 | 2021-11-13T14:49:43.000Z | 2022-03-06T11:48:50.000Z | from starkware.crypto.signature.signature import (
pedersen_hash, private_to_stark_key, private_key_to_ec_point_on_stark_curve, get_random_private_key, verify, inv_mod_curve_size, EC_GEN, ALPHA, FIELD_PRIME, EC_ORDER, get_y_coordinate)
from starkware.crypto.signature.math_utils import (
ECPoint, div_mod, ec_add, ec_double, ec_mult, is_quad_residue, sqrt_mod)
| 50.388889 | 188 | 0.676406 | from starkware.crypto.signature.signature import (
pedersen_hash, private_to_stark_key, private_key_to_ec_point_on_stark_curve, get_random_private_key, verify, inv_mod_curve_size, EC_GEN, ALPHA, FIELD_PRIME, EC_ORDER, get_y_coordinate)
from starkware.crypto.signature.math_utils import (
ECPoint, div_mod, ec_add, ec_double, ec_mult, is_quad_residue, sqrt_mod)
def unblind(blinded_token_in, blinding_factor, public_key_in, blinded_request, c, r):
blinded_request = [blinded_request, get_y_coordinate(blinded_request)]
found = False
# need to account for the fact the y coordinate can be the wrong one
for i in range(4):
public_key = [public_key_in, (1 if i == 0 or i == 1 else -1)
* get_y_coordinate(public_key_in) % FIELD_PRIME]
blinded_token = [blinded_token_in, (1 if i == 0 or i == 2 else -1)
* get_y_coordinate(blinded_token_in) % FIELD_PRIME]
t_hash = ec_mult(inv_mod_curve_size(blinding_factor),
blinded_token, ALPHA, FIELD_PRIME)[0]
vG = ec_add(ec_mult(r, EC_GEN, ALPHA, FIELD_PRIME), ec_mult(
c, public_key, ALPHA, FIELD_PRIME), FIELD_PRIME)
vH = ec_add(ec_mult(r, blinded_request, ALPHA, FIELD_PRIME), ec_mult(
c, blinded_token, ALPHA, FIELD_PRIME), FIELD_PRIME)
c_prime = pedersen_hash(pedersen_hash(pedersen_hash(vG[0], vH[0]), pedersen_hash(
public_key[0], blinded_token[0])), pedersen_hash(EC_GEN[0], blinded_request[0]))
if (c - c_prime) % FIELD_PRIME == 0:
found = True
break
assert found
assert (c - c_prime) % FIELD_PRIME == 0
print(f'Blinded token: {blinded_token}')
print(f'Token: {t_hash}')
print(f'Blinding factor: {blinding_factor}')
return (t_hash)
| 1,420 | 0 | 23 |
da48c7f7496da7a3d15867e8be8af33d4faf7561 | 1,636 | py | Python | tests/test_redict.py | julianirwin/redict | d75bf3c03b481cb41211898f438fdb693e199155 | [
"MIT"
] | null | null | null | tests/test_redict.py | julianirwin/redict | d75bf3c03b481cb41211898f438fdb693e199155 | [
"MIT"
] | null | null | null | tests/test_redict.py | julianirwin/redict | d75bf3c03b481cb41211898f438fdb693e199155 | [
"MIT"
] | null | null | null | from nose.tools import assert_equal, assert_is_none
from redict import ReDict, update_with_redict
| 32.078431 | 67 | 0.600856 | from nose.tools import assert_equal, assert_is_none
from redict import ReDict, update_with_redict
class TestRedict:
@classmethod
def setup(cls):
d = {'.*foo.*': 1, '.*bar.*': 2, '.*baz.*': 3}
cls.rd = ReDict(d)
def test_get_no_match(self):
assert_is_none(self.rd.re_get('asdf_biz_asdf'))
def test_get_no_match_with_default(self):
assert_equal(self.rd.re_get('asdf_biz_asdf', default=0), 0)
def test_get_match(self):
assert_equal(self.rd.re_get('x_foox'), 1)
def test_brackets_match(self):
assert_equal(self.rd.re_get('x_foox'), 1)
def test_insert_pattern_after_initialization(self):
pass
class TestUpdateWithReDict:
@classmethod
def setup(cls):
d = {'.*foo.*': 1, '.*bar.*': 2, '.*baz.*': 3}
cls.rd = ReDict(d)
cls.names = ('zfooz', 'barai', 'baz9', 'sjg')
def test_update_empty_dict_no_func(self):
d = {}
res = update_with_redict(d, self.rd, self.names)
actual = {'zfooz': 1, 'barai': 2, 'baz9': 3, 'sjg': None}
assert_equal(res, actual)
def test_update_existing_dict_no_func(self):
d = {'zfooz': 0, 'barai': 1, 'baz9': 0, 'sjg': 0}
res = update_with_redict(d, self.rd, self.names)
actual = {'zfooz': 1, 'barai': 2, 'baz9': 3, 'sjg': None}
assert_equal(res, actual)
def test_update_empty_dict_func_is_increment(self):
d = {}
func = lambda x: x + 1
res = update_with_redict(d, self.rd, self.names, func=func)
actual = {'zfooz': 2, 'barai': 3, 'baz9': 4, 'sjg': None}
assert_equal(res, actual)
| 1,187 | 304 | 46 |
83ca1dfbb90537bc2bfe3983b8e555fa672c0f0a | 548 | py | Python | tests/device/test_read_measured_value.py | Sensirion/python-shdlc-sfc5xxx | f9bd288a996ad969ee5bbb7f52b6e8f00fdf47e5 | [
"BSD-3-Clause"
] | null | null | null | tests/device/test_read_measured_value.py | Sensirion/python-shdlc-sfc5xxx | f9bd288a996ad969ee5bbb7f52b6e8f00fdf47e5 | [
"BSD-3-Clause"
] | null | null | null | tests/device/test_read_measured_value.py | Sensirion/python-shdlc-sfc5xxx | f9bd288a996ad969ee5bbb7f52b6e8f00fdf47e5 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# (c) Copyright 2020 Sensirion AG, Switzerland
from __future__ import absolute_import, division, print_function
from sensirion_shdlc_sfc5xxx import Sfc5xxxScaling
import pytest
@pytest.mark.needs_device
@pytest.mark.parametrize("scaling", [
(Sfc5xxxScaling.NORMALIZED),
(Sfc5xxxScaling.PHYSICAL),
(Sfc5xxxScaling.USER_DEFINED),
])
def test(device, scaling):
"""
Test if read_measured_value() works as expected.
"""
result = device.read_measured_value(scaling)
assert type(result) is float
| 26.095238 | 64 | 0.739051 | # -*- coding: utf-8 -*-
# (c) Copyright 2020 Sensirion AG, Switzerland
from __future__ import absolute_import, division, print_function
from sensirion_shdlc_sfc5xxx import Sfc5xxxScaling
import pytest
@pytest.mark.needs_device
@pytest.mark.parametrize("scaling", [
(Sfc5xxxScaling.NORMALIZED),
(Sfc5xxxScaling.PHYSICAL),
(Sfc5xxxScaling.USER_DEFINED),
])
def test(device, scaling):
"""
Test if read_measured_value() works as expected.
"""
result = device.read_measured_value(scaling)
assert type(result) is float
| 0 | 0 | 0 |
3bd27665cdf5971e208ac1c0357146113ac4758c | 3,376 | py | Python | bot/admin_handlers.py | svirepovden/tg_support_bot | 6c3d163514722ca28ec20e17d8aea4deccba51fb | [
"BSD-3-Clause"
] | null | null | null | bot/admin_handlers.py | svirepovden/tg_support_bot | 6c3d163514722ca28ec20e17d8aea4deccba51fb | [
"BSD-3-Clause"
] | null | null | null | bot/admin_handlers.py | svirepovden/tg_support_bot | 6c3d163514722ca28ec20e17d8aea4deccba51fb | [
"BSD-3-Clause"
] | null | null | null | from .actions import is_admin, get_messages, save_message, change_chat_status
from telegram.ext import (Updater, CommandHandler, MessageHandler, Filters, CallbackContext,
ConversationHandler)
# TODO get questions in realtime while answering
chat_id = None # used for storing to what chat answer must go
SHOW_MESSAGES, REPLY, GET_ANSWER, CHAT_ACTIONS = range(4)
admin_conv_handler = ConversationHandler(
entry_points=[CommandHandler('admin', admin)],
states={
SHOW_MESSAGES: [CommandHandler('show_messages', show_messages)],
REPLY: [MessageHandler(Filters.regex(r'/reply_[0-9]*'), reply_chat)],
GET_ANSWER: [MessageHandler(Filters.all, get_answer)],
CHAT_ACTIONS: [MessageHandler(Filters.regex(r'/close_[0-9]*'), close_chat_option),
MessageHandler(Filters.regex(r'/await_[0-9]*'), await_chat_option)]
},
fallbacks=[CommandHandler('exit', exit_)]
)
| 37.511111 | 97 | 0.651066 | from .actions import is_admin, get_messages, save_message, change_chat_status
from telegram.ext import (Updater, CommandHandler, MessageHandler, Filters, CallbackContext,
ConversationHandler)
def admin(update, context: CallbackContext):
if is_admin(update.message):
context.bot.send_message(chat_id=update.effective_chat.id,
text="This is Admin Panel\n\n/show_messages")
return SHOW_MESSAGES
else:
context.bot.send_message(chat_id=update.effective_chat.id,
text="You have no permission for that")
def show_messages(update, context: CallbackContext):
if is_admin(update.message):
context.bot.send_message(chat_id=update.effective_chat.id,
text=get_messages() + get_messages(status='in_process'))
return REPLY
def reply_chat(update, context):
if is_admin(update.message):
global chat_id
chat_id = int(update.message.text[7:])
reply = 'You are replying to ' + str(chat_id) + '\n' + get_messages(chat_id)
print(reply)
context.bot.send_message(chat_id=update.effective_chat.id,
text=reply)
return GET_ANSWER
def get_answer(update, context):
if is_admin(update.message):
global chat_id
save_message(update.message, True)
context.bot.send_message(chat_id=chat_id, text=update.message.text)
chat_options = 'Chat options:\n' + '/close_' + str(chat_id) + '\n /await_' + str(chat_id)
context.bot.send_message(chat_id=update.effective_chat.id, text=chat_options)
chat_id = None
print('answered')
return CHAT_ACTIONS
# TODO get questions in realtime while answering
def close_chat_option(update, context):
if is_admin(update.message):
chat = int(update.message.text[7:])
print('close ', chat)
change_chat_status('closed', chat)
context.bot.send_message(chat_id=update.effective_chat.id,
text='chat was closed\n\n/show_messages')
return SHOW_MESSAGES
def await_chat_option(update, context):
if is_admin(update.message):
chat = int(update.message.text[7:])
print('await ', chat)
change_chat_status('in_process', chat)
context.bot.send_message(chat_id=update.effective_chat.id,
text='chat is in awaited mode\n\n /show_messages')
return SHOW_MESSAGES
def exit_(update, context):
if is_admin(update.message):
print('admin exit')
else:
print('guest exit')
return ConversationHandler.END
chat_id = None # used for storing to what chat answer must go
SHOW_MESSAGES, REPLY, GET_ANSWER, CHAT_ACTIONS = range(4)
admin_conv_handler = ConversationHandler(
entry_points=[CommandHandler('admin', admin)],
states={
SHOW_MESSAGES: [CommandHandler('show_messages', show_messages)],
REPLY: [MessageHandler(Filters.regex(r'/reply_[0-9]*'), reply_chat)],
GET_ANSWER: [MessageHandler(Filters.all, get_answer)],
CHAT_ACTIONS: [MessageHandler(Filters.regex(r'/close_[0-9]*'), close_chat_option),
MessageHandler(Filters.regex(r'/await_[0-9]*'), await_chat_option)]
},
fallbacks=[CommandHandler('exit', exit_)]
)
| 2,260 | 0 | 161 |
7e6a5b3702a2080dcb8f11f87a82a64d967ae80f | 2,922 | py | Python | tests/unit/test_protocol.py | NicolasEhrhardt/python-driver | ead86ea5e01b94d09c9022a2f01348bd147f8af0 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_protocol.py | NicolasEhrhardt/python-driver | ead86ea5e01b94d09c9022a2f01348bd147f8af0 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_protocol.py | NicolasEhrhardt/python-driver | ead86ea5e01b94d09c9022a2f01348bd147f8af0 | [
"Apache-2.0"
] | null | null | null |
try:
import unittest2 as unittest
except ImportError:
import unittest # noqa
from mock import Mock
from cassandra import ProtocolVersion
from cassandra.protocol import PrepareMessage, QueryMessage, ExecuteMessage
| 31.76087 | 114 | 0.592402 |
try:
import unittest2 as unittest
except ImportError:
import unittest # noqa
from mock import Mock
from cassandra import ProtocolVersion
from cassandra.protocol import PrepareMessage, QueryMessage, ExecuteMessage
class MessageTest(unittest.TestCase):
def test_prepare_message(self):
"""
Test to check the appropriate calls are made
@since 3.9
@jira_ticket PYTHON-713
@expected_result the values are correctly written
@test_category connection
"""
message = PrepareMessage("a")
io = Mock()
message.send_body(io,4)
self._check_calls(io, [(b'\x00\x00\x00\x01',), (b'a',)])
io.reset_mock()
message.send_body(io,5)
self._check_calls(io, [(b'\x00\x00\x00\x01',), (b'a',), (b'\x00\x00\x00\x00',)])
def test_execute_message(self):
message = ExecuteMessage('1',[],4)
io = Mock()
message.send_body(io,4)
self._check_calls(io, [(b'\x00\x01',), (b'1',), (b'\x00\x04',), (b'\x01',), (b'\x00\x00',)])
io.reset_mock()
message.send_body(io, 5)
self._check_calls(io, [(b'\x00\x01',), (b'1',), (b'\x00\x04',), (b'\x00\x00\x00\x01',), (b'\x00\x00',)])
def test_query_message(self):
"""
Test to check the appropriate calls are made
@since 3.9
@jira_ticket PYTHON-713
@expected_result the values are correctly written
@test_category connection
"""
message = QueryMessage("a",3)
io = Mock()
message.send_body(io,4)
self._check_calls(io, [(b'\x00\x00\x00\x01',), (b'a',), (b'\x00\x03',), (b'\x00',)])
io.reset_mock()
message.send_body(io,5)
self._check_calls(io, [(b'\x00\x00\x00\x01',), (b'a',), (b'\x00\x03',), (b'\x00\x00\x00\x00',)])
def _check_calls(self, io, expected):
self.assertEqual(len(io.write.mock_calls), len(expected))
for call, expect in zip(io.write.mock_calls, expected):
self.assertEqual(call[1], expect)
def test_prepare_flag(self):
"""
Test to check the prepare flag is properly set, This should only happen for V5 at the moment.
@since 3.9
@jira_ticket PYTHON-713
@expected_result the values are correctly written
@test_category connection
"""
message = PrepareMessage("a")
io = Mock()
for version in ProtocolVersion.SUPPORTED_VERSIONS:
message.send_body(io, version)
if ProtocolVersion.uses_prepare_flags(version):
# This should pass after PYTHON-696
self.assertEqual(len(io.write.mock_calls), 3)
# self.assertEqual(uint32_unpack(io.write.mock_calls[2][1][0]) & _WITH_SERIAL_CONSISTENCY_FLAG, 1)
else:
self.assertEqual(len(io.write.mock_calls), 2)
io.reset_mock()
| 571 | 2,105 | 23 |
2ce6dab9da58e48ce193bc42999fa7752904e8ff | 448,678 | py | Python | tests/functional/basic/db/test_26.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/functional/basic/db/test_26.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/functional/basic/db/test_26.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | #coding:utf-8
#
# id: functional.basic.db.26
# title: Empty DB - RDB$SECURITY_CLASSES
# decription: Check for correct content of RDB$SECURITY_CLASSES in empty database.
# tracker_id:
# min_versions: ['2.5.7']
# versions: 3.0, 4.0
# qmid: functional.basic.db.db_26
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 3.0
# resources: None
substitutions_1 = [('RDB\\$ACL.*', ''), ('RDB\\$SECURITY_CLASS[\\s]+SQL\\$.*', 'RDB\\$SECURITY_CLASS SQL\\$'), ('[\t ]+', ' ')]
init_script_1 = """"""
db_1 = db_factory(sql_dialect=3, init=init_script_1)
test_script_1 = """
-- 28.10.2015
-- Updated expected_stdout, added block to subst-section in order to ignore differences
-- in values like "SQL$****" of field RDB$SECURITY_CLASS.
set list on;
set blob 3;
set count on;
select *
from rdb$security_classes
order by rdb$security_class;
"""
act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1)
expected_stdout_1 = """
RDB$SECURITY_CLASS SQL$1
RDB$ACL 9:0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$10
RDB$ACL 9:9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$100
RDB$ACL 9:63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$101
RDB$ACL 9:64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$102
RDB$ACL 9:65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$103
RDB$ACL 9:66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$104
RDB$ACL 9:67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$105
RDB$ACL 9:68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$106
RDB$ACL 9:69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$107
RDB$ACL 9:6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$108
RDB$ACL 9:6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$109
RDB$ACL 9:6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$11
RDB$ACL 9:a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$110
RDB$ACL 9:6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$111
RDB$ACL 9:6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$112
RDB$ACL 9:6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$113
RDB$ACL 9:70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$114
RDB$ACL 9:71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$115
RDB$ACL 9:72
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$116
RDB$ACL 9:73
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$117
RDB$ACL 9:74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$118
RDB$ACL 9:75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$119
RDB$ACL 9:76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$12
RDB$ACL 9:b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$120
RDB$ACL 9:77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$121
RDB$ACL 9:78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$122
RDB$ACL 9:79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$123
RDB$ACL 9:7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$124
RDB$ACL 9:7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$125
RDB$ACL 9:7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$126
RDB$ACL 9:7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$127
RDB$ACL 9:7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$128
RDB$ACL 9:7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$129
RDB$ACL 9:80
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$13
RDB$ACL 9:c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$130
RDB$ACL 9:81
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$131
RDB$ACL 9:82
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$132
RDB$ACL 9:83
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$133
RDB$ACL 9:84
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$134
RDB$ACL 9:85
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$135
RDB$ACL 9:86
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$136
RDB$ACL 9:87
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$137
RDB$ACL 9:5a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$138
RDB$ACL 9:5a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$139
RDB$ACL 9:5a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$14
RDB$ACL 9:d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$140
RDB$ACL 9:5a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$141
RDB$ACL 9:5a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$142
RDB$ACL 9:5a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$143
RDB$ACL 9:5a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$144
RDB$ACL 9:5a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$145
RDB$ACL 9:5a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$146
RDB$ACL 9:5a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$147
RDB$ACL 9:5aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$148
RDB$ACL 9:5ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$149
RDB$ACL 9:5ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$15
RDB$ACL 9:e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$150
RDB$ACL 9:5ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$151
RDB$ACL 9:5ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$152
RDB$ACL 9:5af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$153
RDB$ACL 9:5b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$154
RDB$ACL 9:5b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$155
RDB$ACL 9:5b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$156
RDB$ACL 9:5b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$157
RDB$ACL 9:5b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$158
RDB$ACL 9:5b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$159
RDB$ACL 9:5b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$16
RDB$ACL 9:f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$160
RDB$ACL 9:5b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$161
RDB$ACL 9:5b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$162
RDB$ACL 9:5b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$163
RDB$ACL 9:5ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$164
RDB$ACL 9:5bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$165
RDB$ACL 9:5bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$166
RDB$ACL 9:5bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$167
RDB$ACL 9:5be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$168
RDB$ACL 9:5bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$169
RDB$ACL 9:5c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$17
RDB$ACL 9:10
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$170
RDB$ACL 9:5c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$171
RDB$ACL 9:5c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$172
RDB$ACL 9:5c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$173
RDB$ACL 9:5c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$174
RDB$ACL 9:5c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$175
RDB$ACL 9:5c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$176
RDB$ACL 9:5c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$177
RDB$ACL 9:5c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$178
RDB$ACL 9:5c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$179
RDB$ACL 9:5ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$18
RDB$ACL 9:11
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$180
RDB$ACL 9:5cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$181
RDB$ACL 9:5cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$182
RDB$ACL 9:5cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$183
RDB$ACL 9:5ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$184
RDB$ACL 9:5cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$185
RDB$ACL 9:5d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$186
RDB$ACL 9:5d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$187
RDB$ACL 9:5d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$188
RDB$ACL 9:5d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$189
RDB$ACL 9:5d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$19
RDB$ACL 9:12
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$190
RDB$ACL 9:5d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$191
RDB$ACL 9:5d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$192
RDB$ACL 9:5d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$193
RDB$ACL 9:5d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$194
RDB$ACL 9:5d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$195
RDB$ACL 9:5da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$196
RDB$ACL 9:5db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$197
RDB$ACL 9:5dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$198
RDB$ACL 9:5dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$199
RDB$ACL 9:5de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$2
RDB$ACL 9:1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$20
RDB$ACL 9:13
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$200
RDB$ACL 9:5df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$201
RDB$ACL 9:5e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$202
RDB$ACL 9:5e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$203
RDB$ACL 9:5e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$204
RDB$ACL 9:5e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$205
RDB$ACL 9:5e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$206
RDB$ACL 9:5e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$207
RDB$ACL 9:5e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$208
RDB$ACL 9:5e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$209
RDB$ACL 9:5e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$21
RDB$ACL 9:14
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$210
RDB$ACL 9:5e9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$211
RDB$ACL 9:5ea
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$212
RDB$ACL 9:5eb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$213
RDB$ACL 9:5ec
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$214
RDB$ACL 9:5ed
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$215
RDB$ACL 9:5ee
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$216
RDB$ACL 9:5ef
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$217
RDB$ACL 9:5f0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$218
RDB$ACL 9:5f1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$219
RDB$ACL 9:5f2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$22
RDB$ACL 9:15
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$220
RDB$ACL 9:5f3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$221
RDB$ACL 9:5f4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$222
RDB$ACL 9:5f5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$223
RDB$ACL 9:5f6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$224
RDB$ACL 9:5f7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$225
RDB$ACL 9:5f8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$226
RDB$ACL 9:5f9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$227
RDB$ACL 9:5fa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$228
RDB$ACL 9:5fb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$229
RDB$ACL 9:5fc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$23
RDB$ACL 9:16
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$230
RDB$ACL 9:5fd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$231
RDB$ACL 9:5fe
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$232
RDB$ACL 9:5ff
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$233
RDB$ACL 9:600
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$234
RDB$ACL 9:601
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$235
RDB$ACL 9:602
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$236
RDB$ACL 9:603
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$237
RDB$ACL 9:604
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$238
RDB$ACL 9:605
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$239
RDB$ACL 9:606
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$24
RDB$ACL 9:17
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$240
RDB$ACL 9:607
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$241
RDB$ACL 9:608
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$242
RDB$ACL 9:609
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$243
RDB$ACL 9:60a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$244
RDB$ACL 9:60b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$245
RDB$ACL 9:60c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$246
RDB$ACL 9:60d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$247
RDB$ACL 9:60e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$248
RDB$ACL 9:60f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$249
RDB$ACL 9:610
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$25
RDB$ACL 9:18
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$250
RDB$ACL 9:611
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$251
RDB$ACL 9:612
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$252
RDB$ACL 9:613
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$253
RDB$ACL 9:614
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$254
RDB$ACL 9:615
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$255
RDB$ACL 9:616
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$256
RDB$ACL 9:617
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$257
RDB$ACL 9:618
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$258
RDB$ACL 9:619
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$259
RDB$ACL 9:61a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$26
RDB$ACL 9:19
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$260
RDB$ACL 9:61b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$261
RDB$ACL 9:61c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$262
RDB$ACL 9:61d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$263
RDB$ACL 9:61e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$264
RDB$ACL 9:61f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$265
RDB$ACL 9:620
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$266
RDB$ACL 9:621
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$267
RDB$ACL 9:622
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$268
RDB$ACL 9:623
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$269
RDB$ACL 9:624
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$27
RDB$ACL 9:1a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$270
RDB$ACL 9:625
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$271
RDB$ACL 9:626
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$272
RDB$ACL 9:627
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$273
RDB$ACL 9:960
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$274
RDB$ACL 9:961
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$275
RDB$ACL 9:962
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$276
RDB$ACL 9:963
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$277
RDB$ACL 9:964
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$278
RDB$ACL 9:965
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$279
RDB$ACL 9:966
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$28
RDB$ACL 9:1b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$280
RDB$ACL 9:967
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$281
RDB$ACL 9:968
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$282
RDB$ACL 9:969
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$283
RDB$ACL 9:96a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$284
RDB$ACL 9:96b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$285
RDB$ACL 9:96c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$286
RDB$ACL 9:96d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$287
RDB$ACL 9:96e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$288
RDB$ACL 9:96f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$289
RDB$ACL 9:970
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$29
RDB$ACL 9:1c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$290
RDB$ACL 9:971
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$291
RDB$ACL 9:972
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$292
RDB$ACL 9:973
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$293
RDB$ACL 9:974
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$294
RDB$ACL 9:975
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$295
RDB$ACL 9:976
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$296
RDB$ACL 9:977
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$297
RDB$ACL 9:978
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$298
RDB$ACL 9:979
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$299
RDB$ACL 9:97a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$3
RDB$ACL 9:2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$30
RDB$ACL 9:1d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$300
RDB$ACL 9:97b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$301
RDB$ACL 9:97c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$302
RDB$ACL 9:97d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$303
RDB$ACL 9:97e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$304
RDB$ACL 9:97f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$305
RDB$ACL 9:980
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$306
RDB$ACL 9:981
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$307
RDB$ACL 9:982
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$308
RDB$ACL 9:983
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$309
RDB$ACL 9:984
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$31
RDB$ACL 9:1e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$310
RDB$ACL 9:985
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$311
RDB$ACL 9:986
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$312
RDB$ACL 9:987
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$313
RDB$ACL 9:988
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$314
RDB$ACL 9:989
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$315
RDB$ACL 9:98a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$316
RDB$ACL 9:98b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$317
RDB$ACL 9:98c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$318
RDB$ACL 9:98d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$319
RDB$ACL 9:98e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$32
RDB$ACL 9:1f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$320
RDB$ACL 9:98f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$321
RDB$ACL 9:990
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$322
RDB$ACL 9:991
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$323
RDB$ACL 9:992
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$324
RDB$ACL 9:993
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$325
RDB$ACL 9:994
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$326
RDB$ACL 9:995
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$327
RDB$ACL 9:996
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$328
RDB$ACL 9:997
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$329
RDB$ACL 9:998
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$33
RDB$ACL 9:20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$330
RDB$ACL 9:999
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$331
RDB$ACL 9:99a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$332
RDB$ACL 9:99b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$333
RDB$ACL 9:99c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$334
RDB$ACL 9:99d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$335
RDB$ACL 9:99e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$336
RDB$ACL 9:99f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$337
RDB$ACL 9:9a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$338
RDB$ACL 9:9a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$339
RDB$ACL 9:9a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$34
RDB$ACL 9:21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$340
RDB$ACL 9:9a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$341
RDB$ACL 9:9a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$342
RDB$ACL 9:9a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$343
RDB$ACL 9:9a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$344
RDB$ACL 9:9a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$345
RDB$ACL 9:9a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$346
RDB$ACL 9:9a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$347
RDB$ACL 9:9aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$348
RDB$ACL 9:9ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$349
RDB$ACL 9:9ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$35
RDB$ACL 9:22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$350
RDB$ACL 9:9ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$351
RDB$ACL 9:9ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$352
RDB$ACL 9:9af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$353
RDB$ACL 9:9b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$354
RDB$ACL 9:9b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$355
RDB$ACL 9:9b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$356
RDB$ACL 9:9b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$357
RDB$ACL 9:9b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$358
RDB$ACL 9:9b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$359
RDB$ACL 9:9b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$36
RDB$ACL 9:23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$360
RDB$ACL 9:9b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$361
RDB$ACL 9:9b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$362
RDB$ACL 9:9b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$363
RDB$ACL 9:9ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$364
RDB$ACL 9:9c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$365
RDB$ACL 9:9c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$366
RDB$ACL 9:9ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$367
RDB$ACL 9:9cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$368
RDB$ACL 9:9ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$369
RDB$ACL 9:9d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$37
RDB$ACL 9:24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$370
RDB$ACL 9:9d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$371
RDB$ACL 9:9d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$372
RDB$ACL 9:9d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$373
RDB$ACL 9:9d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$374
RDB$ACL 9:9da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$375
RDB$ACL 9:9dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$376
RDB$ACL 9:9de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$377
RDB$ACL 9:9e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$378
RDB$ACL 9:9e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$379
RDB$ACL 9:9e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$38
RDB$ACL 9:25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$380
RDB$ACL 9:9e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$381
RDB$ACL 9:9e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$382
RDB$ACL 9:d21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$383
RDB$ACL 9:d23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$384
RDB$ACL 9:d25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$385
RDB$ACL 9:d27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$386
RDB$ACL 9:d29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$387
RDB$ACL 9:d2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$388
RDB$ACL 9:d2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$389
RDB$ACL 9:d2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$39
RDB$ACL 9:26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$390
RDB$ACL 9:d31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$391
RDB$ACL 9:d33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$392
RDB$ACL 9:d35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$393
RDB$ACL 9:d37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$394
RDB$ACL 9:d39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$395
RDB$ACL 9:d3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$396
RDB$ACL 9:d3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$397
RDB$ACL 9:d3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$398
RDB$ACL 9:d41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$399
RDB$ACL 9:d43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$4
RDB$ACL 9:3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$40
RDB$ACL 9:27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$400
RDB$ACL 9:d45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$401
RDB$ACL 9:d47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$402
RDB$ACL 9:d49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$403
RDB$ACL 9:d4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$404
RDB$ACL 9:d4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$405
RDB$ACL 9:d4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$406
RDB$ACL 9:d51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$407
RDB$ACL 9:d53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$408
RDB$ACL 9:d55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$409
RDB$ACL 9:d57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$41
RDB$ACL 9:28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$410
RDB$ACL 9:d59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$411
RDB$ACL 9:d5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$412
RDB$ACL 9:d5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$413
RDB$ACL 9:d5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$414
RDB$ACL 9:d61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$42
RDB$ACL 9:29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$43
RDB$ACL 9:2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$44
RDB$ACL 9:2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$45
RDB$ACL 9:2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$46
RDB$ACL 9:2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$47
RDB$ACL 9:2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$48
RDB$ACL 9:2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$49
RDB$ACL 9:30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$5
RDB$ACL 9:4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$50
RDB$ACL 9:31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$51
RDB$ACL 9:32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$52
RDB$ACL 9:33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$53
RDB$ACL 9:34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$54
RDB$ACL 9:35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$55
RDB$ACL 9:36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$56
RDB$ACL 9:37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$57
RDB$ACL 9:38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$58
RDB$ACL 9:39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$59
RDB$ACL 9:3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$6
RDB$ACL 9:5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$60
RDB$ACL 9:3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$61
RDB$ACL 9:3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$62
RDB$ACL 9:3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$63
RDB$ACL 9:3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$64
RDB$ACL 9:3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$65
RDB$ACL 9:40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$66
RDB$ACL 9:41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$67
RDB$ACL 9:42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$68
RDB$ACL 9:43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$69
RDB$ACL 9:44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$7
RDB$ACL 9:6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$70
RDB$ACL 9:45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$71
RDB$ACL 9:46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$72
RDB$ACL 9:47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$73
RDB$ACL 9:48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$74
RDB$ACL 9:49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$75
RDB$ACL 9:4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$76
RDB$ACL 9:4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$77
RDB$ACL 9:4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$78
RDB$ACL 9:4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$79
RDB$ACL 9:4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$8
RDB$ACL 9:7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$80
RDB$ACL 9:4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$81
RDB$ACL 9:50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$82
RDB$ACL 9:51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$83
RDB$ACL 9:52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$84
RDB$ACL 9:53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$85
RDB$ACL 9:54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$86
RDB$ACL 9:55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$87
RDB$ACL 9:56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$88
RDB$ACL 9:57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$89
RDB$ACL 9:58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$9
RDB$ACL 9:8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$90
RDB$ACL 9:59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$91
RDB$ACL 9:5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$92
RDB$ACL 9:5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$93
RDB$ACL 9:5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$94
RDB$ACL 9:5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$95
RDB$ACL 9:5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$96
RDB$ACL 9:5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$97
RDB$ACL 9:60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$98
RDB$ACL 9:61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$99
RDB$ACL 9:62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$CHARSETS
RDB$ACL 9:9c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$COLLATIONS
RDB$ACL 9:9c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT1
RDB$ACL 9:9c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT10
RDB$ACL 9:9db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT11
RDB$ACL 9:9dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT12
RDB$ACL 9:9df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT13
RDB$ACL 9:9e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT14
RDB$ACL 9:9e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT15
RDB$ACL 9:9e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT16
RDB$ACL 9:9e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT17
RDB$ACL 9:d20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT18
RDB$ACL 9:d22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT19
RDB$ACL 9:d24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT2
RDB$ACL 9:9cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT20
RDB$ACL 9:d26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT21
RDB$ACL 9:d28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT22
RDB$ACL 9:d2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT23
RDB$ACL 9:d2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT24
RDB$ACL 9:d2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT25
RDB$ACL 9:d30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT26
RDB$ACL 9:d32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT27
RDB$ACL 9:d34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT28
RDB$ACL 9:d36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT29
RDB$ACL 9:d38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT3
RDB$ACL 9:9cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT30
RDB$ACL 9:d3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT31
RDB$ACL 9:d3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT32
RDB$ACL 9:d3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT33
RDB$ACL 9:d40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT34
RDB$ACL 9:d42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT35
RDB$ACL 9:d44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT36
RDB$ACL 9:d46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT37
RDB$ACL 9:d48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT38
RDB$ACL 9:d4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT39
RDB$ACL 9:d4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT4
RDB$ACL 9:9cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT40
RDB$ACL 9:d4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT41
RDB$ACL 9:d50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT42
RDB$ACL 9:d52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT43
RDB$ACL 9:d54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT44
RDB$ACL 9:d56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT45
RDB$ACL 9:d58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT46
RDB$ACL 9:d5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT47
RDB$ACL 9:d5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT48
RDB$ACL 9:d5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT49
RDB$ACL 9:d60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT5
RDB$ACL 9:9d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT50
RDB$ACL 9:d62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT6
RDB$ACL 9:9d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT7
RDB$ACL 9:9d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT8
RDB$ACL 9:9d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT9
RDB$ACL 9:9d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DOMAINS
RDB$ACL 9:9c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$EXCEPTIONS
RDB$ACL 9:9c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FILTERS
RDB$ACL 9:9c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FUNCTIONS
RDB$ACL 9:9be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$GENERATORS
RDB$ACL 9:9c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PACKAGES
RDB$ACL 9:9bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PROCEDURES
RDB$ACL 9:9bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$ROLES
RDB$ACL 9:9c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$TABLES
RDB$ACL 9:9bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$VIEWS
RDB$ACL 9:9bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
Records affected: 476
"""
@pytest.mark.version('>=3.0,<4.0')
# version: 4.0
# resources: None
substitutions_2 = [('RDB\\$ACL.*', ''), ('RDB\\$SECURITY_CLASS[\\s]+SQL\\$.*', 'RDB\\$SECURITY_CLASS SQL\\$'), ('[\t ]+', ' ')]
init_script_2 = """"""
db_2 = db_factory(sql_dialect=3, init=init_script_2)
test_script_2 = """
set list on;
set blob 3;
set count on;
-- NB: 'rdb$security_class' is unique field, see DDL.
select *
from rdb$security_classes
order by rdb$security_class;
"""
act_2 = isql_act('db_2', test_script_2, substitutions=substitutions_2)
expected_stdout_2 = """
RDB$SECURITY_CLASS SQL$1
RDB$ACL 9:0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$10
RDB$ACL 9:9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$100
RDB$ACL 9:63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$101
RDB$ACL 9:64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$102
RDB$ACL 9:65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$103
RDB$ACL 9:66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$104
RDB$ACL 9:67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$105
RDB$ACL 9:68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$106
RDB$ACL 9:69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$107
RDB$ACL 9:6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$108
RDB$ACL 9:6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$109
RDB$ACL 9:6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$11
RDB$ACL 9:a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$110
RDB$ACL 9:6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$111
RDB$ACL 9:6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$112
RDB$ACL 9:6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$113
RDB$ACL 9:70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$114
RDB$ACL 9:71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$115
RDB$ACL 9:72
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$116
RDB$ACL 9:73
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$117
RDB$ACL 9:74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$118
RDB$ACL 9:75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$119
RDB$ACL 9:76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$12
RDB$ACL 9:b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$120
RDB$ACL 9:77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$121
RDB$ACL 9:78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$122
RDB$ACL 9:79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$123
RDB$ACL 9:7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$124
RDB$ACL 9:7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$125
RDB$ACL 9:7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$126
RDB$ACL 9:7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$127
RDB$ACL 9:7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$128
RDB$ACL 9:7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$129
RDB$ACL 9:80
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$13
RDB$ACL 9:c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$130
RDB$ACL 9:81
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$131
RDB$ACL 9:82
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$132
RDB$ACL 9:83
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$133
RDB$ACL 9:84
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$134
RDB$ACL 9:85
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$135
RDB$ACL 9:86
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$136
RDB$ACL 9:87
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$137
RDB$ACL 9:5a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$138
RDB$ACL 9:5a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$139
RDB$ACL 9:5a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$14
RDB$ACL 9:d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$140
RDB$ACL 9:5a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$141
RDB$ACL 9:5a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$142
RDB$ACL 9:5a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$143
RDB$ACL 9:5a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$144
RDB$ACL 9:5a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$145
RDB$ACL 9:5a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$146
RDB$ACL 9:5a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$147
RDB$ACL 9:5aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$148
RDB$ACL 9:5ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$149
RDB$ACL 9:5ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$15
RDB$ACL 9:e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$150
RDB$ACL 9:5ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$151
RDB$ACL 9:5ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$152
RDB$ACL 9:5af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$153
RDB$ACL 9:5b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$154
RDB$ACL 9:5b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$155
RDB$ACL 9:5b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$156
RDB$ACL 9:5b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$157
RDB$ACL 9:5b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$158
RDB$ACL 9:5b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$159
RDB$ACL 9:5b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$16
RDB$ACL 9:f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$160
RDB$ACL 9:5b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$161
RDB$ACL 9:5b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$162
RDB$ACL 9:5b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$163
RDB$ACL 9:5ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$164
RDB$ACL 9:5bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$165
RDB$ACL 9:5bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$166
RDB$ACL 9:5bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$167
RDB$ACL 9:5be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$168
RDB$ACL 9:5bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$169
RDB$ACL 9:5c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$17
RDB$ACL 9:10
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$170
RDB$ACL 9:5c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$171
RDB$ACL 9:5c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$172
RDB$ACL 9:5c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$173
RDB$ACL 9:5c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$174
RDB$ACL 9:5c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$175
RDB$ACL 9:5c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$176
RDB$ACL 9:5c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$177
RDB$ACL 9:5c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$178
RDB$ACL 9:5c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$179
RDB$ACL 9:5ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$18
RDB$ACL 9:11
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$180
RDB$ACL 9:5cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$181
RDB$ACL 9:5cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$182
RDB$ACL 9:5cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$183
RDB$ACL 9:5ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$184
RDB$ACL 9:5cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$185
RDB$ACL 9:5d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$186
RDB$ACL 9:5d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$187
RDB$ACL 9:5d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$188
RDB$ACL 9:5d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$189
RDB$ACL 9:5d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$19
RDB$ACL 9:12
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$190
RDB$ACL 9:5d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$191
RDB$ACL 9:5d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$192
RDB$ACL 9:5d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$193
RDB$ACL 9:5d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$194
RDB$ACL 9:5d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$195
RDB$ACL 9:5da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$196
RDB$ACL 9:5db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$197
RDB$ACL 9:5dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$198
RDB$ACL 9:5dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$199
RDB$ACL 9:5de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$2
RDB$ACL 9:1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$20
RDB$ACL 9:13
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$200
RDB$ACL 9:5df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$201
RDB$ACL 9:5e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$202
RDB$ACL 9:5e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$203
RDB$ACL 9:5e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$204
RDB$ACL 9:5e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$205
RDB$ACL 9:5e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$206
RDB$ACL 9:5e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$207
RDB$ACL 9:5e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$208
RDB$ACL 9:5e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$209
RDB$ACL 9:5e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$21
RDB$ACL 9:14
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$210
RDB$ACL 9:5e9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$211
RDB$ACL 9:5ea
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$212
RDB$ACL 9:5eb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$213
RDB$ACL 9:5ec
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$214
RDB$ACL 9:5ed
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$215
RDB$ACL 9:5ee
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$216
RDB$ACL 9:5ef
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$217
RDB$ACL 9:5f0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$218
RDB$ACL 9:5f1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$219
RDB$ACL 9:5f2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$22
RDB$ACL 9:15
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$220
RDB$ACL 9:5f3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$221
RDB$ACL 9:5f4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$222
RDB$ACL 9:5f5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$223
RDB$ACL 9:5f6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$224
RDB$ACL 9:5f7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$225
RDB$ACL 9:5f8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$226
RDB$ACL 9:5f9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$227
RDB$ACL 9:5fa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$228
RDB$ACL 9:5fb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$229
RDB$ACL 9:5fc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$23
RDB$ACL 9:16
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$230
RDB$ACL 9:5fd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$231
RDB$ACL 9:5fe
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$232
RDB$ACL 9:5ff
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$233
RDB$ACL 9:600
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$234
RDB$ACL 9:601
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$235
RDB$ACL 9:602
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$236
RDB$ACL 9:603
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$237
RDB$ACL 9:604
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$238
RDB$ACL 9:605
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$239
RDB$ACL 9:606
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$24
RDB$ACL 9:17
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$240
RDB$ACL 9:607
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$241
RDB$ACL 9:608
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$242
RDB$ACL 9:609
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$243
RDB$ACL 9:60a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$244
RDB$ACL 9:60b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$245
RDB$ACL 9:60c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$246
RDB$ACL 9:60d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$247
RDB$ACL 9:60e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$248
RDB$ACL 9:60f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$249
RDB$ACL 9:610
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$25
RDB$ACL 9:18
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$250
RDB$ACL 9:611
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$251
RDB$ACL 9:612
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$252
RDB$ACL 9:613
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$253
RDB$ACL 9:614
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$254
RDB$ACL 9:615
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$255
RDB$ACL 9:616
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$256
RDB$ACL 9:617
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$257
RDB$ACL 9:618
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$258
RDB$ACL 9:619
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$259
RDB$ACL 9:61a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$26
RDB$ACL 9:19
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$260
RDB$ACL 9:61b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$261
RDB$ACL 9:61c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$262
RDB$ACL 9:61d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$263
RDB$ACL 9:61e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$264
RDB$ACL 9:61f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$265
RDB$ACL 9:620
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$266
RDB$ACL 9:621
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$267
RDB$ACL 9:622
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$268
RDB$ACL 9:623
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$269
RDB$ACL 9:624
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$27
RDB$ACL 9:1a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$270
RDB$ACL 9:625
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$271
RDB$ACL 9:626
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$272
RDB$ACL 9:627
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$273
RDB$ACL 9:960
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$274
RDB$ACL 9:961
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$275
RDB$ACL 9:962
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$276
RDB$ACL 9:963
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$277
RDB$ACL 9:964
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$278
RDB$ACL 9:965
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$279
RDB$ACL 9:966
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$28
RDB$ACL 9:1b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$280
RDB$ACL 9:967
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$281
RDB$ACL 9:968
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$282
RDB$ACL 9:969
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$283
RDB$ACL 9:96a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$284
RDB$ACL 9:96b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$285
RDB$ACL 9:96c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$286
RDB$ACL 9:96d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$287
RDB$ACL 9:96e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$288
RDB$ACL 9:96f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$289
RDB$ACL 9:970
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$29
RDB$ACL 9:1c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$290
RDB$ACL 9:971
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$291
RDB$ACL 9:972
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$292
RDB$ACL 9:973
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$293
RDB$ACL 9:974
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$294
RDB$ACL 9:975
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$295
RDB$ACL 9:976
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$296
RDB$ACL 9:977
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$297
RDB$ACL 9:978
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$298
RDB$ACL 9:979
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$299
RDB$ACL 9:97a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$3
RDB$ACL 9:2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$30
RDB$ACL 9:1d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$300
RDB$ACL 9:97b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$301
RDB$ACL 9:97c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$302
RDB$ACL 9:97d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$303
RDB$ACL 9:97e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$304
RDB$ACL 9:97f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$305
RDB$ACL 9:980
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$306
RDB$ACL 9:981
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$307
RDB$ACL 9:982
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$308
RDB$ACL 9:983
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$309
RDB$ACL 9:984
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$31
RDB$ACL 9:1e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$310
RDB$ACL 9:985
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$311
RDB$ACL 9:986
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$312
RDB$ACL 9:987
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$313
RDB$ACL 9:988
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$314
RDB$ACL 9:989
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$315
RDB$ACL 9:98a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$316
RDB$ACL 9:98b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$317
RDB$ACL 9:98c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$318
RDB$ACL 9:98d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$319
RDB$ACL 9:98e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$32
RDB$ACL 9:1f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$320
RDB$ACL 9:98f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$321
RDB$ACL 9:990
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$322
RDB$ACL 9:991
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$323
RDB$ACL 9:992
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$324
RDB$ACL 9:993
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$325
RDB$ACL 9:994
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$326
RDB$ACL 9:995
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$327
RDB$ACL 9:996
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$328
RDB$ACL 9:997
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$329
RDB$ACL 9:998
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$33
RDB$ACL 9:20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$330
RDB$ACL 9:999
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$331
RDB$ACL 9:99a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$332
RDB$ACL 9:99b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$333
RDB$ACL 9:99c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$334
RDB$ACL 9:99d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$335
RDB$ACL 9:99e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$336
RDB$ACL 9:99f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$337
RDB$ACL 9:9a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$338
RDB$ACL 9:9a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$339
RDB$ACL 9:9a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$34
RDB$ACL 9:21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$340
RDB$ACL 9:9a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$341
RDB$ACL 9:9a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$342
RDB$ACL 9:9a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$343
RDB$ACL 9:9a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$344
RDB$ACL 9:9a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$345
RDB$ACL 9:9a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$346
RDB$ACL 9:9a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$347
RDB$ACL 9:9aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$348
RDB$ACL 9:9ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$349
RDB$ACL 9:9ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$35
RDB$ACL 9:22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$350
RDB$ACL 9:9ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$351
RDB$ACL 9:9ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$352
RDB$ACL 9:9af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$353
RDB$ACL 9:9b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$354
RDB$ACL 9:9b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$355
RDB$ACL 9:9b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$356
RDB$ACL 9:9b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$357
RDB$ACL 9:9b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$358
RDB$ACL 9:9b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$359
RDB$ACL 9:9b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$36
RDB$ACL 9:23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$360
RDB$ACL 9:9b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$361
RDB$ACL 9:9b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$362
RDB$ACL 9:9b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$363
RDB$ACL 9:9ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$364
RDB$ACL 9:9bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$365
RDB$ACL 9:9bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$366
RDB$ACL 9:9bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$367
RDB$ACL 9:9be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$368
RDB$ACL 9:9bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$369
RDB$ACL 9:9c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$37
RDB$ACL 9:24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$370
RDB$ACL 9:9c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$371
RDB$ACL 9:9c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$372
RDB$ACL 9:9c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$373
RDB$ACL 9:9c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$374
RDB$ACL 9:9c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$375
RDB$ACL 9:9c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$376
RDB$ACL 9:9c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$377
RDB$ACL 9:9c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$378
RDB$ACL 9:9c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$379
RDB$ACL 9:9ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$38
RDB$ACL 9:25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$380
RDB$ACL 9:9cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$381
RDB$ACL 9:9cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$382
RDB$ACL 9:9cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$383
RDB$ACL 9:9ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$384
RDB$ACL 9:9cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (execute)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$385
RDB$ACL 9:9dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$386
RDB$ACL 9:9dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$387
RDB$ACL 9:9df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$388
RDB$ACL 9:9e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$389
RDB$ACL 9:9e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$39
RDB$ACL 9:26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$390
RDB$ACL 9:9e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$391
RDB$ACL 9:9e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$392
RDB$ACL 9:d20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$393
RDB$ACL 9:d22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$394
RDB$ACL 9:d24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$395
RDB$ACL 9:d26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$396
RDB$ACL 9:d28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$397
RDB$ACL 9:d55
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)3, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$398
RDB$ACL 9:d2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$399
RDB$ACL 9:d2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$4
RDB$ACL 9:3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$40
RDB$ACL 9:27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$400
RDB$ACL 9:d30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$401
RDB$ACL 9:d32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$402
RDB$ACL 9:d34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$403
RDB$ACL 9:d36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$404
RDB$ACL 9:d38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$405
RDB$ACL 9:d3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$406
RDB$ACL 9:d3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$407
RDB$ACL 9:d3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$408
RDB$ACL 9:d40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$409
RDB$ACL 9:d42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$41
RDB$ACL 9:28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$410
RDB$ACL 9:d44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$411
RDB$ACL 9:d46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$412
RDB$ACL 9:d48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$413
RDB$ACL 9:d4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$414
RDB$ACL 9:d4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$415
RDB$ACL 9:d4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$416
RDB$ACL 9:d50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$417
RDB$ACL 9:d52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$418
RDB$ACL 9:d80
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)4, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$419
RDB$ACL 9:d56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$42
RDB$ACL 9:29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$420
RDB$ACL 9:d58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$421
RDB$ACL 9:d5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$422
RDB$ACL 9:d5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$423
RDB$ACL 9:d5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$424
RDB$ACL 9:d60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$425
RDB$ACL 9:d62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$426
RDB$ACL 9:d64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$427
RDB$ACL 9:d66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$428
RDB$ACL 9:d68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$429
RDB$ACL 9:d6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$43
RDB$ACL 9:2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$430
RDB$ACL 9:d6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$431
RDB$ACL 9:d6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$432
RDB$ACL 9:d70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$433
RDB$ACL 9:d2b
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)22, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$434
RDB$ACL 9:d74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$435
RDB$ACL 9:d76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$436
RDB$ACL 9:d78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$437
RDB$ACL 9:d7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$438
RDB$ACL 9:d7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$439
RDB$ACL 9:d7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$44
RDB$ACL 9:2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$45
RDB$ACL 9:2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$46
RDB$ACL 9:2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$47
RDB$ACL 9:2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$48
RDB$ACL 9:2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$49
RDB$ACL 9:30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$5
RDB$ACL 9:4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$50
RDB$ACL 9:31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$51
RDB$ACL 9:32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$52
RDB$ACL 9:33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$53
RDB$ACL 9:34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$54
RDB$ACL 9:35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$55
RDB$ACL 9:36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$56
RDB$ACL 9:37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$57
RDB$ACL 9:38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$58
RDB$ACL 9:39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$59
RDB$ACL 9:3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$6
RDB$ACL 9:5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$60
RDB$ACL 9:3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$61
RDB$ACL 9:3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$62
RDB$ACL 9:3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$63
RDB$ACL 9:3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$64
RDB$ACL 9:3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$65
RDB$ACL 9:40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$66
RDB$ACL 9:41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$67
RDB$ACL 9:42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$68
RDB$ACL 9:43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$69
RDB$ACL 9:44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$7
RDB$ACL 9:6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$70
RDB$ACL 9:45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$71
RDB$ACL 9:46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$72
RDB$ACL 9:47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$73
RDB$ACL 9:48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$74
RDB$ACL 9:49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$75
RDB$ACL 9:4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$76
RDB$ACL 9:4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$77
RDB$ACL 9:4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$78
RDB$ACL 9:4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$79
RDB$ACL 9:4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$8
RDB$ACL 9:7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$80
RDB$ACL 9:4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$81
RDB$ACL 9:50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$82
RDB$ACL 9:51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$83
RDB$ACL 9:52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$84
RDB$ACL 9:53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$85
RDB$ACL 9:54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$86
RDB$ACL 9:55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$87
RDB$ACL 9:56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$88
RDB$ACL 9:57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$89
RDB$ACL 9:58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$9
RDB$ACL 9:8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$90
RDB$ACL 9:59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$91
RDB$ACL 9:5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$92
RDB$ACL 9:5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$93
RDB$ACL 9:5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$94
RDB$ACL 9:5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$95
RDB$ACL 9:5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$96
RDB$ACL 9:5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$97
RDB$ACL 9:60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$98
RDB$ACL 9:61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$99
RDB$ACL 9:62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$CHARSETS
RDB$ACL 9:9d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$COLLATIONS
RDB$ACL 9:9da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT1
RDB$ACL 9:9de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT10
RDB$ACL 9:d27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT11
RDB$ACL 9:d29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT12
RDB$ACL 9:d2a
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)3, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT13
RDB$ACL 9:d2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT14
RDB$ACL 9:d2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT15
RDB$ACL 9:d31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT16
RDB$ACL 9:d33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT17
RDB$ACL 9:d35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT18
RDB$ACL 9:d37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT19
RDB$ACL 9:d39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT2
RDB$ACL 9:9e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT20
RDB$ACL 9:d3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT21
RDB$ACL 9:d3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT22
RDB$ACL 9:d3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT23
RDB$ACL 9:d41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT24
RDB$ACL 9:d43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT25
RDB$ACL 9:d45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT26
RDB$ACL 9:d47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT27
RDB$ACL 9:d49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT28
RDB$ACL 9:d4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT29
RDB$ACL 9:d4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT3
RDB$ACL 9:9e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT30
RDB$ACL 9:d4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT31
RDB$ACL 9:d51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT32
RDB$ACL 9:d53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT33
RDB$ACL 9:d54
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)4, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT34
RDB$ACL 9:d57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT35
RDB$ACL 9:d59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT36
RDB$ACL 9:d5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT37
RDB$ACL 9:d5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT38
RDB$ACL 9:d5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT39
RDB$ACL 9:d61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT4
RDB$ACL 9:9e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT40
RDB$ACL 9:d63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT41
RDB$ACL 9:d65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT42
RDB$ACL 9:d67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT43
RDB$ACL 9:d69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT44
RDB$ACL 9:d6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT45
RDB$ACL 9:d6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT46
RDB$ACL 9:d6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT47
RDB$ACL 9:d71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT48
RDB$ACL 9:d72
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)22, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT49
RDB$ACL 9:d75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT5
RDB$ACL 9:9e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT50
RDB$ACL 9:d77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT51
RDB$ACL 9:d79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT52
RDB$ACL 9:d7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT53
RDB$ACL 9:d7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT54
RDB$ACL 9:d7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT6
RDB$ACL 9:9e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT7
RDB$ACL 9:d21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT8
RDB$ACL 9:d23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT9
RDB$ACL 9:d25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DOMAINS
RDB$ACL 9:9d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$EXCEPTIONS
RDB$ACL 9:9d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FILTERS
RDB$ACL 9:9db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FUNCTIONS
RDB$ACL 9:9d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$GENERATORS
RDB$ACL 9:9d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PACKAGES
RDB$ACL 9:9d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PROCEDURES
RDB$ACL 9:9d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$ROLES
RDB$ACL 9:9d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$TABLES
RDB$ACL 9:9d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$VIEWS
RDB$ACL 9:9d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
Records affected: 505
"""
@pytest.mark.version('>=4.0')
| 56.544171 | 288 | 0.292785 | #coding:utf-8
#
# id: functional.basic.db.26
# title: Empty DB - RDB$SECURITY_CLASSES
# decription: Check for correct content of RDB$SECURITY_CLASSES in empty database.
# tracker_id:
# min_versions: ['2.5.7']
# versions: 3.0, 4.0
# qmid: functional.basic.db.db_26
import pytest
from firebird.qa import db_factory, isql_act, Action
# version: 3.0
# resources: None
substitutions_1 = [('RDB\\$ACL.*', ''), ('RDB\\$SECURITY_CLASS[\\s]+SQL\\$.*', 'RDB\\$SECURITY_CLASS SQL\\$'), ('[\t ]+', ' ')]
init_script_1 = """"""
db_1 = db_factory(sql_dialect=3, init=init_script_1)
test_script_1 = """
-- 28.10.2015
-- Updated expected_stdout, added block to subst-section in order to ignore differences
-- in values like "SQL$****" of field RDB$SECURITY_CLASS.
set list on;
set blob 3;
set count on;
select *
from rdb$security_classes
order by rdb$security_class;
"""
act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1)
expected_stdout_1 = """
RDB$SECURITY_CLASS SQL$1
RDB$ACL 9:0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$10
RDB$ACL 9:9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$100
RDB$ACL 9:63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$101
RDB$ACL 9:64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$102
RDB$ACL 9:65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$103
RDB$ACL 9:66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$104
RDB$ACL 9:67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$105
RDB$ACL 9:68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$106
RDB$ACL 9:69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$107
RDB$ACL 9:6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$108
RDB$ACL 9:6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$109
RDB$ACL 9:6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$11
RDB$ACL 9:a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$110
RDB$ACL 9:6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$111
RDB$ACL 9:6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$112
RDB$ACL 9:6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$113
RDB$ACL 9:70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$114
RDB$ACL 9:71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$115
RDB$ACL 9:72
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$116
RDB$ACL 9:73
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$117
RDB$ACL 9:74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$118
RDB$ACL 9:75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$119
RDB$ACL 9:76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$12
RDB$ACL 9:b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$120
RDB$ACL 9:77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$121
RDB$ACL 9:78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$122
RDB$ACL 9:79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$123
RDB$ACL 9:7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$124
RDB$ACL 9:7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$125
RDB$ACL 9:7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$126
RDB$ACL 9:7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$127
RDB$ACL 9:7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$128
RDB$ACL 9:7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$129
RDB$ACL 9:80
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$13
RDB$ACL 9:c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$130
RDB$ACL 9:81
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$131
RDB$ACL 9:82
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$132
RDB$ACL 9:83
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$133
RDB$ACL 9:84
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$134
RDB$ACL 9:85
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$135
RDB$ACL 9:86
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$136
RDB$ACL 9:87
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$137
RDB$ACL 9:5a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$138
RDB$ACL 9:5a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$139
RDB$ACL 9:5a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$14
RDB$ACL 9:d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$140
RDB$ACL 9:5a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$141
RDB$ACL 9:5a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$142
RDB$ACL 9:5a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$143
RDB$ACL 9:5a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$144
RDB$ACL 9:5a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$145
RDB$ACL 9:5a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$146
RDB$ACL 9:5a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$147
RDB$ACL 9:5aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$148
RDB$ACL 9:5ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$149
RDB$ACL 9:5ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$15
RDB$ACL 9:e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$150
RDB$ACL 9:5ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$151
RDB$ACL 9:5ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$152
RDB$ACL 9:5af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$153
RDB$ACL 9:5b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$154
RDB$ACL 9:5b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$155
RDB$ACL 9:5b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$156
RDB$ACL 9:5b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$157
RDB$ACL 9:5b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$158
RDB$ACL 9:5b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$159
RDB$ACL 9:5b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$16
RDB$ACL 9:f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$160
RDB$ACL 9:5b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$161
RDB$ACL 9:5b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$162
RDB$ACL 9:5b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$163
RDB$ACL 9:5ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$164
RDB$ACL 9:5bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$165
RDB$ACL 9:5bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$166
RDB$ACL 9:5bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$167
RDB$ACL 9:5be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$168
RDB$ACL 9:5bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$169
RDB$ACL 9:5c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$17
RDB$ACL 9:10
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$170
RDB$ACL 9:5c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$171
RDB$ACL 9:5c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$172
RDB$ACL 9:5c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$173
RDB$ACL 9:5c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$174
RDB$ACL 9:5c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$175
RDB$ACL 9:5c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$176
RDB$ACL 9:5c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$177
RDB$ACL 9:5c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$178
RDB$ACL 9:5c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$179
RDB$ACL 9:5ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$18
RDB$ACL 9:11
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$180
RDB$ACL 9:5cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$181
RDB$ACL 9:5cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$182
RDB$ACL 9:5cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$183
RDB$ACL 9:5ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$184
RDB$ACL 9:5cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$185
RDB$ACL 9:5d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$186
RDB$ACL 9:5d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$187
RDB$ACL 9:5d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$188
RDB$ACL 9:5d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$189
RDB$ACL 9:5d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$19
RDB$ACL 9:12
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$190
RDB$ACL 9:5d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$191
RDB$ACL 9:5d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$192
RDB$ACL 9:5d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$193
RDB$ACL 9:5d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$194
RDB$ACL 9:5d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$195
RDB$ACL 9:5da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$196
RDB$ACL 9:5db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$197
RDB$ACL 9:5dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$198
RDB$ACL 9:5dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$199
RDB$ACL 9:5de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$2
RDB$ACL 9:1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$20
RDB$ACL 9:13
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$200
RDB$ACL 9:5df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$201
RDB$ACL 9:5e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$202
RDB$ACL 9:5e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$203
RDB$ACL 9:5e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$204
RDB$ACL 9:5e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$205
RDB$ACL 9:5e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$206
RDB$ACL 9:5e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$207
RDB$ACL 9:5e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$208
RDB$ACL 9:5e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$209
RDB$ACL 9:5e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$21
RDB$ACL 9:14
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$210
RDB$ACL 9:5e9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$211
RDB$ACL 9:5ea
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$212
RDB$ACL 9:5eb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$213
RDB$ACL 9:5ec
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$214
RDB$ACL 9:5ed
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$215
RDB$ACL 9:5ee
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$216
RDB$ACL 9:5ef
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$217
RDB$ACL 9:5f0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$218
RDB$ACL 9:5f1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$219
RDB$ACL 9:5f2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$22
RDB$ACL 9:15
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$220
RDB$ACL 9:5f3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$221
RDB$ACL 9:5f4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$222
RDB$ACL 9:5f5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$223
RDB$ACL 9:5f6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$224
RDB$ACL 9:5f7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$225
RDB$ACL 9:5f8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$226
RDB$ACL 9:5f9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$227
RDB$ACL 9:5fa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$228
RDB$ACL 9:5fb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$229
RDB$ACL 9:5fc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$23
RDB$ACL 9:16
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$230
RDB$ACL 9:5fd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$231
RDB$ACL 9:5fe
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$232
RDB$ACL 9:5ff
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$233
RDB$ACL 9:600
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$234
RDB$ACL 9:601
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$235
RDB$ACL 9:602
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$236
RDB$ACL 9:603
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$237
RDB$ACL 9:604
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$238
RDB$ACL 9:605
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$239
RDB$ACL 9:606
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$24
RDB$ACL 9:17
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$240
RDB$ACL 9:607
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$241
RDB$ACL 9:608
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$242
RDB$ACL 9:609
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$243
RDB$ACL 9:60a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$244
RDB$ACL 9:60b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$245
RDB$ACL 9:60c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$246
RDB$ACL 9:60d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$247
RDB$ACL 9:60e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$248
RDB$ACL 9:60f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$249
RDB$ACL 9:610
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$25
RDB$ACL 9:18
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$250
RDB$ACL 9:611
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$251
RDB$ACL 9:612
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$252
RDB$ACL 9:613
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$253
RDB$ACL 9:614
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$254
RDB$ACL 9:615
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$255
RDB$ACL 9:616
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$256
RDB$ACL 9:617
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$257
RDB$ACL 9:618
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$258
RDB$ACL 9:619
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$259
RDB$ACL 9:61a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$26
RDB$ACL 9:19
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$260
RDB$ACL 9:61b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$261
RDB$ACL 9:61c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$262
RDB$ACL 9:61d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$263
RDB$ACL 9:61e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$264
RDB$ACL 9:61f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$265
RDB$ACL 9:620
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$266
RDB$ACL 9:621
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$267
RDB$ACL 9:622
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$268
RDB$ACL 9:623
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$269
RDB$ACL 9:624
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$27
RDB$ACL 9:1a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$270
RDB$ACL 9:625
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$271
RDB$ACL 9:626
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$272
RDB$ACL 9:627
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$273
RDB$ACL 9:960
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$274
RDB$ACL 9:961
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$275
RDB$ACL 9:962
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$276
RDB$ACL 9:963
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$277
RDB$ACL 9:964
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$278
RDB$ACL 9:965
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$279
RDB$ACL 9:966
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$28
RDB$ACL 9:1b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$280
RDB$ACL 9:967
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$281
RDB$ACL 9:968
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$282
RDB$ACL 9:969
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$283
RDB$ACL 9:96a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$284
RDB$ACL 9:96b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$285
RDB$ACL 9:96c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$286
RDB$ACL 9:96d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$287
RDB$ACL 9:96e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$288
RDB$ACL 9:96f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$289
RDB$ACL 9:970
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$29
RDB$ACL 9:1c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$290
RDB$ACL 9:971
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$291
RDB$ACL 9:972
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$292
RDB$ACL 9:973
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$293
RDB$ACL 9:974
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$294
RDB$ACL 9:975
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$295
RDB$ACL 9:976
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$296
RDB$ACL 9:977
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$297
RDB$ACL 9:978
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$298
RDB$ACL 9:979
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$299
RDB$ACL 9:97a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$3
RDB$ACL 9:2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$30
RDB$ACL 9:1d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$300
RDB$ACL 9:97b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$301
RDB$ACL 9:97c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$302
RDB$ACL 9:97d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$303
RDB$ACL 9:97e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$304
RDB$ACL 9:97f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$305
RDB$ACL 9:980
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$306
RDB$ACL 9:981
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$307
RDB$ACL 9:982
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$308
RDB$ACL 9:983
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$309
RDB$ACL 9:984
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$31
RDB$ACL 9:1e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$310
RDB$ACL 9:985
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$311
RDB$ACL 9:986
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$312
RDB$ACL 9:987
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$313
RDB$ACL 9:988
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$314
RDB$ACL 9:989
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$315
RDB$ACL 9:98a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$316
RDB$ACL 9:98b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$317
RDB$ACL 9:98c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$318
RDB$ACL 9:98d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$319
RDB$ACL 9:98e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$32
RDB$ACL 9:1f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$320
RDB$ACL 9:98f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$321
RDB$ACL 9:990
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$322
RDB$ACL 9:991
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$323
RDB$ACL 9:992
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$324
RDB$ACL 9:993
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$325
RDB$ACL 9:994
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$326
RDB$ACL 9:995
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$327
RDB$ACL 9:996
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$328
RDB$ACL 9:997
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$329
RDB$ACL 9:998
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$33
RDB$ACL 9:20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$330
RDB$ACL 9:999
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$331
RDB$ACL 9:99a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$332
RDB$ACL 9:99b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$333
RDB$ACL 9:99c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$334
RDB$ACL 9:99d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$335
RDB$ACL 9:99e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$336
RDB$ACL 9:99f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$337
RDB$ACL 9:9a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$338
RDB$ACL 9:9a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$339
RDB$ACL 9:9a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$34
RDB$ACL 9:21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$340
RDB$ACL 9:9a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$341
RDB$ACL 9:9a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$342
RDB$ACL 9:9a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$343
RDB$ACL 9:9a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$344
RDB$ACL 9:9a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$345
RDB$ACL 9:9a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$346
RDB$ACL 9:9a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$347
RDB$ACL 9:9aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$348
RDB$ACL 9:9ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$349
RDB$ACL 9:9ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$35
RDB$ACL 9:22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$350
RDB$ACL 9:9ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$351
RDB$ACL 9:9ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$352
RDB$ACL 9:9af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$353
RDB$ACL 9:9b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$354
RDB$ACL 9:9b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$355
RDB$ACL 9:9b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$356
RDB$ACL 9:9b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$357
RDB$ACL 9:9b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$358
RDB$ACL 9:9b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$359
RDB$ACL 9:9b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$36
RDB$ACL 9:23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$360
RDB$ACL 9:9b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$361
RDB$ACL 9:9b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$362
RDB$ACL 9:9b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$363
RDB$ACL 9:9ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$364
RDB$ACL 9:9c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$365
RDB$ACL 9:9c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$366
RDB$ACL 9:9ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$367
RDB$ACL 9:9cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$368
RDB$ACL 9:9ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$369
RDB$ACL 9:9d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$37
RDB$ACL 9:24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$370
RDB$ACL 9:9d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$371
RDB$ACL 9:9d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$372
RDB$ACL 9:9d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$373
RDB$ACL 9:9d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$374
RDB$ACL 9:9da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$375
RDB$ACL 9:9dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$376
RDB$ACL 9:9de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$377
RDB$ACL 9:9e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$378
RDB$ACL 9:9e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$379
RDB$ACL 9:9e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$38
RDB$ACL 9:25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$380
RDB$ACL 9:9e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$381
RDB$ACL 9:9e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$382
RDB$ACL 9:d21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$383
RDB$ACL 9:d23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$384
RDB$ACL 9:d25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$385
RDB$ACL 9:d27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$386
RDB$ACL 9:d29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$387
RDB$ACL 9:d2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$388
RDB$ACL 9:d2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$389
RDB$ACL 9:d2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$39
RDB$ACL 9:26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$390
RDB$ACL 9:d31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$391
RDB$ACL 9:d33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$392
RDB$ACL 9:d35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$393
RDB$ACL 9:d37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$394
RDB$ACL 9:d39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$395
RDB$ACL 9:d3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$396
RDB$ACL 9:d3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$397
RDB$ACL 9:d3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$398
RDB$ACL 9:d41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$399
RDB$ACL 9:d43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$4
RDB$ACL 9:3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$40
RDB$ACL 9:27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$400
RDB$ACL 9:d45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$401
RDB$ACL 9:d47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$402
RDB$ACL 9:d49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$403
RDB$ACL 9:d4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$404
RDB$ACL 9:d4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$405
RDB$ACL 9:d4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$406
RDB$ACL 9:d51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$407
RDB$ACL 9:d53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$408
RDB$ACL 9:d55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$409
RDB$ACL 9:d57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$41
RDB$ACL 9:28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$410
RDB$ACL 9:d59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$411
RDB$ACL 9:d5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$412
RDB$ACL 9:d5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$413
RDB$ACL 9:d5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$414
RDB$ACL 9:d61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$42
RDB$ACL 9:29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$43
RDB$ACL 9:2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$44
RDB$ACL 9:2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$45
RDB$ACL 9:2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$46
RDB$ACL 9:2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$47
RDB$ACL 9:2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$48
RDB$ACL 9:2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$49
RDB$ACL 9:30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$5
RDB$ACL 9:4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$50
RDB$ACL 9:31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$51
RDB$ACL 9:32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$52
RDB$ACL 9:33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$53
RDB$ACL 9:34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$54
RDB$ACL 9:35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$55
RDB$ACL 9:36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$56
RDB$ACL 9:37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$57
RDB$ACL 9:38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$58
RDB$ACL 9:39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$59
RDB$ACL 9:3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$6
RDB$ACL 9:5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$60
RDB$ACL 9:3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$61
RDB$ACL 9:3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$62
RDB$ACL 9:3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$63
RDB$ACL 9:3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$64
RDB$ACL 9:3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$65
RDB$ACL 9:40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$66
RDB$ACL 9:41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$67
RDB$ACL 9:42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$68
RDB$ACL 9:43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$69
RDB$ACL 9:44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$7
RDB$ACL 9:6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$70
RDB$ACL 9:45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$71
RDB$ACL 9:46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$72
RDB$ACL 9:47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$73
RDB$ACL 9:48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$74
RDB$ACL 9:49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$75
RDB$ACL 9:4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$76
RDB$ACL 9:4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$77
RDB$ACL 9:4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$78
RDB$ACL 9:4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$79
RDB$ACL 9:4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$8
RDB$ACL 9:7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$80
RDB$ACL 9:4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$81
RDB$ACL 9:50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$82
RDB$ACL 9:51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$83
RDB$ACL 9:52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$84
RDB$ACL 9:53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$85
RDB$ACL 9:54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$86
RDB$ACL 9:55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$87
RDB$ACL 9:56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$88
RDB$ACL 9:57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$89
RDB$ACL 9:58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$9
RDB$ACL 9:8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$90
RDB$ACL 9:59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$91
RDB$ACL 9:5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$92
RDB$ACL 9:5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$93
RDB$ACL 9:5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$94
RDB$ACL 9:5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$95
RDB$ACL 9:5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$96
RDB$ACL 9:5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$97
RDB$ACL 9:60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$98
RDB$ACL 9:61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$99
RDB$ACL 9:62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$CHARSETS
RDB$ACL 9:9c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$COLLATIONS
RDB$ACL 9:9c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT1
RDB$ACL 9:9c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT10
RDB$ACL 9:9db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT11
RDB$ACL 9:9dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT12
RDB$ACL 9:9df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT13
RDB$ACL 9:9e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT14
RDB$ACL 9:9e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT15
RDB$ACL 9:9e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT16
RDB$ACL 9:9e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT17
RDB$ACL 9:d20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT18
RDB$ACL 9:d22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT19
RDB$ACL 9:d24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT2
RDB$ACL 9:9cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT20
RDB$ACL 9:d26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT21
RDB$ACL 9:d28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT22
RDB$ACL 9:d2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT23
RDB$ACL 9:d2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT24
RDB$ACL 9:d2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT25
RDB$ACL 9:d30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT26
RDB$ACL 9:d32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT27
RDB$ACL 9:d34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT28
RDB$ACL 9:d36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT29
RDB$ACL 9:d38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT3
RDB$ACL 9:9cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT30
RDB$ACL 9:d3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT31
RDB$ACL 9:d3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT32
RDB$ACL 9:d3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT33
RDB$ACL 9:d40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT34
RDB$ACL 9:d42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT35
RDB$ACL 9:d44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT36
RDB$ACL 9:d46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT37
RDB$ACL 9:d48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT38
RDB$ACL 9:d4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT39
RDB$ACL 9:d4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT4
RDB$ACL 9:9cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT40
RDB$ACL 9:d4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT41
RDB$ACL 9:d50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT42
RDB$ACL 9:d52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT43
RDB$ACL 9:d54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT44
RDB$ACL 9:d56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT45
RDB$ACL 9:d58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT46
RDB$ACL 9:d5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT47
RDB$ACL 9:d5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT48
RDB$ACL 9:d5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT49
RDB$ACL 9:d60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT5
RDB$ACL 9:9d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT50
RDB$ACL 9:d62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT6
RDB$ACL 9:9d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT7
RDB$ACL 9:9d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT8
RDB$ACL 9:9d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT9
RDB$ACL 9:9d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DOMAINS
RDB$ACL 9:9c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$EXCEPTIONS
RDB$ACL 9:9c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FILTERS
RDB$ACL 9:9c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FUNCTIONS
RDB$ACL 9:9be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$GENERATORS
RDB$ACL 9:9c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PACKAGES
RDB$ACL 9:9bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PROCEDURES
RDB$ACL 9:9bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$ROLES
RDB$ACL 9:9c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$TABLES
RDB$ACL 9:9bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$VIEWS
RDB$ACL 9:9bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
Records affected: 476
"""
@pytest.mark.version('>=3.0,<4.0')
def test_1(act_1: Action):
act_1.expected_stdout = expected_stdout_1
act_1.execute()
assert act_1.clean_expected_stdout == act_1.clean_stdout
# version: 4.0
# resources: None
substitutions_2 = [('RDB\\$ACL.*', ''), ('RDB\\$SECURITY_CLASS[\\s]+SQL\\$.*', 'RDB\\$SECURITY_CLASS SQL\\$'), ('[\t ]+', ' ')]
init_script_2 = """"""
db_2 = db_factory(sql_dialect=3, init=init_script_2)
test_script_2 = """
set list on;
set blob 3;
set count on;
-- NB: 'rdb$security_class' is unique field, see DDL.
select *
from rdb$security_classes
order by rdb$security_class;
"""
act_2 = isql_act('db_2', test_script_2, substitutions=substitutions_2)
expected_stdout_2 = """
RDB$SECURITY_CLASS SQL$1
RDB$ACL 9:0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$10
RDB$ACL 9:9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$100
RDB$ACL 9:63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$101
RDB$ACL 9:64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$102
RDB$ACL 9:65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$103
RDB$ACL 9:66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$104
RDB$ACL 9:67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$105
RDB$ACL 9:68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$106
RDB$ACL 9:69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$107
RDB$ACL 9:6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$108
RDB$ACL 9:6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$109
RDB$ACL 9:6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$11
RDB$ACL 9:a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$110
RDB$ACL 9:6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$111
RDB$ACL 9:6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$112
RDB$ACL 9:6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$113
RDB$ACL 9:70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$114
RDB$ACL 9:71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$115
RDB$ACL 9:72
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$116
RDB$ACL 9:73
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$117
RDB$ACL 9:74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$118
RDB$ACL 9:75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$119
RDB$ACL 9:76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$12
RDB$ACL 9:b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$120
RDB$ACL 9:77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$121
RDB$ACL 9:78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$122
RDB$ACL 9:79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$123
RDB$ACL 9:7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$124
RDB$ACL 9:7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$125
RDB$ACL 9:7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$126
RDB$ACL 9:7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$127
RDB$ACL 9:7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$128
RDB$ACL 9:7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$129
RDB$ACL 9:80
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$13
RDB$ACL 9:c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$130
RDB$ACL 9:81
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$131
RDB$ACL 9:82
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$132
RDB$ACL 9:83
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$133
RDB$ACL 9:84
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$134
RDB$ACL 9:85
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$135
RDB$ACL 9:86
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$136
RDB$ACL 9:87
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$137
RDB$ACL 9:5a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$138
RDB$ACL 9:5a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$139
RDB$ACL 9:5a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$14
RDB$ACL 9:d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$140
RDB$ACL 9:5a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$141
RDB$ACL 9:5a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$142
RDB$ACL 9:5a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$143
RDB$ACL 9:5a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$144
RDB$ACL 9:5a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$145
RDB$ACL 9:5a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$146
RDB$ACL 9:5a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$147
RDB$ACL 9:5aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$148
RDB$ACL 9:5ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$149
RDB$ACL 9:5ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$15
RDB$ACL 9:e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$150
RDB$ACL 9:5ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$151
RDB$ACL 9:5ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$152
RDB$ACL 9:5af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$153
RDB$ACL 9:5b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$154
RDB$ACL 9:5b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$155
RDB$ACL 9:5b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$156
RDB$ACL 9:5b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$157
RDB$ACL 9:5b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$158
RDB$ACL 9:5b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$159
RDB$ACL 9:5b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$16
RDB$ACL 9:f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$160
RDB$ACL 9:5b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$161
RDB$ACL 9:5b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$162
RDB$ACL 9:5b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$163
RDB$ACL 9:5ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$164
RDB$ACL 9:5bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$165
RDB$ACL 9:5bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$166
RDB$ACL 9:5bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$167
RDB$ACL 9:5be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$168
RDB$ACL 9:5bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$169
RDB$ACL 9:5c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$17
RDB$ACL 9:10
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$170
RDB$ACL 9:5c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$171
RDB$ACL 9:5c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$172
RDB$ACL 9:5c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$173
RDB$ACL 9:5c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$174
RDB$ACL 9:5c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$175
RDB$ACL 9:5c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$176
RDB$ACL 9:5c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$177
RDB$ACL 9:5c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$178
RDB$ACL 9:5c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$179
RDB$ACL 9:5ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$18
RDB$ACL 9:11
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$180
RDB$ACL 9:5cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$181
RDB$ACL 9:5cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$182
RDB$ACL 9:5cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$183
RDB$ACL 9:5ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$184
RDB$ACL 9:5cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$185
RDB$ACL 9:5d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$186
RDB$ACL 9:5d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$187
RDB$ACL 9:5d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$188
RDB$ACL 9:5d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$189
RDB$ACL 9:5d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$19
RDB$ACL 9:12
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$190
RDB$ACL 9:5d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$191
RDB$ACL 9:5d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$192
RDB$ACL 9:5d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$193
RDB$ACL 9:5d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$194
RDB$ACL 9:5d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$195
RDB$ACL 9:5da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$196
RDB$ACL 9:5db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$197
RDB$ACL 9:5dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$198
RDB$ACL 9:5dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$199
RDB$ACL 9:5de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$2
RDB$ACL 9:1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$20
RDB$ACL 9:13
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$200
RDB$ACL 9:5df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$201
RDB$ACL 9:5e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$202
RDB$ACL 9:5e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$203
RDB$ACL 9:5e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$204
RDB$ACL 9:5e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$205
RDB$ACL 9:5e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$206
RDB$ACL 9:5e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$207
RDB$ACL 9:5e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$208
RDB$ACL 9:5e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$209
RDB$ACL 9:5e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$21
RDB$ACL 9:14
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$210
RDB$ACL 9:5e9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$211
RDB$ACL 9:5ea
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$212
RDB$ACL 9:5eb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$213
RDB$ACL 9:5ec
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$214
RDB$ACL 9:5ed
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$215
RDB$ACL 9:5ee
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$216
RDB$ACL 9:5ef
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$217
RDB$ACL 9:5f0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$218
RDB$ACL 9:5f1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$219
RDB$ACL 9:5f2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$22
RDB$ACL 9:15
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$220
RDB$ACL 9:5f3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$221
RDB$ACL 9:5f4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$222
RDB$ACL 9:5f5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$223
RDB$ACL 9:5f6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$224
RDB$ACL 9:5f7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$225
RDB$ACL 9:5f8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$226
RDB$ACL 9:5f9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$227
RDB$ACL 9:5fa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$228
RDB$ACL 9:5fb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$229
RDB$ACL 9:5fc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$23
RDB$ACL 9:16
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$230
RDB$ACL 9:5fd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$231
RDB$ACL 9:5fe
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$232
RDB$ACL 9:5ff
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$233
RDB$ACL 9:600
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$234
RDB$ACL 9:601
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$235
RDB$ACL 9:602
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$236
RDB$ACL 9:603
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$237
RDB$ACL 9:604
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$238
RDB$ACL 9:605
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$239
RDB$ACL 9:606
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$24
RDB$ACL 9:17
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$240
RDB$ACL 9:607
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$241
RDB$ACL 9:608
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$242
RDB$ACL 9:609
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$243
RDB$ACL 9:60a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$244
RDB$ACL 9:60b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$245
RDB$ACL 9:60c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$246
RDB$ACL 9:60d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$247
RDB$ACL 9:60e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$248
RDB$ACL 9:60f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$249
RDB$ACL 9:610
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$25
RDB$ACL 9:18
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$250
RDB$ACL 9:611
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$251
RDB$ACL 9:612
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$252
RDB$ACL 9:613
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$253
RDB$ACL 9:614
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$254
RDB$ACL 9:615
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$255
RDB$ACL 9:616
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$256
RDB$ACL 9:617
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$257
RDB$ACL 9:618
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$258
RDB$ACL 9:619
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$259
RDB$ACL 9:61a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$26
RDB$ACL 9:19
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$260
RDB$ACL 9:61b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$261
RDB$ACL 9:61c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$262
RDB$ACL 9:61d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$263
RDB$ACL 9:61e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$264
RDB$ACL 9:61f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$265
RDB$ACL 9:620
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$266
RDB$ACL 9:621
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$267
RDB$ACL 9:622
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$268
RDB$ACL 9:623
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$269
RDB$ACL 9:624
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$27
RDB$ACL 9:1a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$270
RDB$ACL 9:625
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$271
RDB$ACL 9:626
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$272
RDB$ACL 9:627
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$273
RDB$ACL 9:960
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$274
RDB$ACL 9:961
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$275
RDB$ACL 9:962
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$276
RDB$ACL 9:963
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$277
RDB$ACL 9:964
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$278
RDB$ACL 9:965
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$279
RDB$ACL 9:966
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$28
RDB$ACL 9:1b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$280
RDB$ACL 9:967
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$281
RDB$ACL 9:968
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$282
RDB$ACL 9:969
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$283
RDB$ACL 9:96a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$284
RDB$ACL 9:96b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$285
RDB$ACL 9:96c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$286
RDB$ACL 9:96d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$287
RDB$ACL 9:96e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$288
RDB$ACL 9:96f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$289
RDB$ACL 9:970
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$29
RDB$ACL 9:1c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$290
RDB$ACL 9:971
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$291
RDB$ACL 9:972
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$292
RDB$ACL 9:973
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$293
RDB$ACL 9:974
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$294
RDB$ACL 9:975
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$295
RDB$ACL 9:976
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$296
RDB$ACL 9:977
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$297
RDB$ACL 9:978
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$298
RDB$ACL 9:979
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$299
RDB$ACL 9:97a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$3
RDB$ACL 9:2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$30
RDB$ACL 9:1d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$300
RDB$ACL 9:97b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$301
RDB$ACL 9:97c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$302
RDB$ACL 9:97d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$303
RDB$ACL 9:97e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$304
RDB$ACL 9:97f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$305
RDB$ACL 9:980
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$306
RDB$ACL 9:981
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$307
RDB$ACL 9:982
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$308
RDB$ACL 9:983
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$309
RDB$ACL 9:984
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$31
RDB$ACL 9:1e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$310
RDB$ACL 9:985
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$311
RDB$ACL 9:986
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$312
RDB$ACL 9:987
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$313
RDB$ACL 9:988
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$314
RDB$ACL 9:989
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$315
RDB$ACL 9:98a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$316
RDB$ACL 9:98b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$317
RDB$ACL 9:98c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$318
RDB$ACL 9:98d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$319
RDB$ACL 9:98e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$32
RDB$ACL 9:1f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$320
RDB$ACL 9:98f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$321
RDB$ACL 9:990
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$322
RDB$ACL 9:991
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$323
RDB$ACL 9:992
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$324
RDB$ACL 9:993
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$325
RDB$ACL 9:994
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$326
RDB$ACL 9:995
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$327
RDB$ACL 9:996
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$328
RDB$ACL 9:997
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$329
RDB$ACL 9:998
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$33
RDB$ACL 9:20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$330
RDB$ACL 9:999
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$331
RDB$ACL 9:99a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$332
RDB$ACL 9:99b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$333
RDB$ACL 9:99c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$334
RDB$ACL 9:99d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$335
RDB$ACL 9:99e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$336
RDB$ACL 9:99f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$337
RDB$ACL 9:9a0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$338
RDB$ACL 9:9a1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$339
RDB$ACL 9:9a2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$34
RDB$ACL 9:21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$340
RDB$ACL 9:9a3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$341
RDB$ACL 9:9a4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$342
RDB$ACL 9:9a5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$343
RDB$ACL 9:9a6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$344
RDB$ACL 9:9a7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$345
RDB$ACL 9:9a8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$346
RDB$ACL 9:9a9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$347
RDB$ACL 9:9aa
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$348
RDB$ACL 9:9ab
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$349
RDB$ACL 9:9ac
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$35
RDB$ACL 9:22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$350
RDB$ACL 9:9ad
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$351
RDB$ACL 9:9ae
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$352
RDB$ACL 9:9af
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$353
RDB$ACL 9:9b0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$354
RDB$ACL 9:9b1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$355
RDB$ACL 9:9b2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$356
RDB$ACL 9:9b3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$357
RDB$ACL 9:9b4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$358
RDB$ACL 9:9b5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$359
RDB$ACL 9:9b6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$36
RDB$ACL 9:23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$360
RDB$ACL 9:9b7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$361
RDB$ACL 9:9b8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$362
RDB$ACL 9:9b9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$363
RDB$ACL 9:9ba
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$364
RDB$ACL 9:9bb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$365
RDB$ACL 9:9bc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$366
RDB$ACL 9:9bd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$367
RDB$ACL 9:9be
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$368
RDB$ACL 9:9bf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$369
RDB$ACL 9:9c0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$37
RDB$ACL 9:24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$370
RDB$ACL 9:9c1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$371
RDB$ACL 9:9c2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$372
RDB$ACL 9:9c3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$373
RDB$ACL 9:9c4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$374
RDB$ACL 9:9c5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$375
RDB$ACL 9:9c6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$376
RDB$ACL 9:9c7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$377
RDB$ACL 9:9c8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$378
RDB$ACL 9:9c9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$379
RDB$ACL 9:9ca
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$38
RDB$ACL 9:25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$380
RDB$ACL 9:9cb
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$381
RDB$ACL 9:9cc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$382
RDB$ACL 9:9cd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$383
RDB$ACL 9:9ce
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$384
RDB$ACL 9:9cf
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (execute)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$385
RDB$ACL 9:9dc
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$386
RDB$ACL 9:9dd
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$387
RDB$ACL 9:9df
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$388
RDB$ACL 9:9e1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$389
RDB$ACL 9:9e3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$39
RDB$ACL 9:26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$390
RDB$ACL 9:9e5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$391
RDB$ACL 9:9e7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$392
RDB$ACL 9:d20
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$393
RDB$ACL 9:d22
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$394
RDB$ACL 9:d24
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$395
RDB$ACL 9:d26
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$396
RDB$ACL 9:d28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$397
RDB$ACL 9:d55
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)3, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$398
RDB$ACL 9:d2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$399
RDB$ACL 9:d2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$4
RDB$ACL 9:3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$40
RDB$ACL 9:27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$400
RDB$ACL 9:d30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$401
RDB$ACL 9:d32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$402
RDB$ACL 9:d34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$403
RDB$ACL 9:d36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$404
RDB$ACL 9:d38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$405
RDB$ACL 9:d3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$406
RDB$ACL 9:d3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$407
RDB$ACL 9:d3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$408
RDB$ACL 9:d40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$409
RDB$ACL 9:d42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$41
RDB$ACL 9:28
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$410
RDB$ACL 9:d44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$411
RDB$ACL 9:d46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$412
RDB$ACL 9:d48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$413
RDB$ACL 9:d4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$414
RDB$ACL 9:d4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$415
RDB$ACL 9:d4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$416
RDB$ACL 9:d50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$417
RDB$ACL 9:d52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$418
RDB$ACL 9:d80
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)4, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$419
RDB$ACL 9:d56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$42
RDB$ACL 9:29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$420
RDB$ACL 9:d58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$421
RDB$ACL 9:d5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$422
RDB$ACL 9:d5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$423
RDB$ACL 9:d5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$424
RDB$ACL 9:d60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$425
RDB$ACL 9:d62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$426
RDB$ACL 9:d64
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$427
RDB$ACL 9:d66
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$428
RDB$ACL 9:d68
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$429
RDB$ACL 9:d6a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$43
RDB$ACL 9:2a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$430
RDB$ACL 9:d6c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$431
RDB$ACL 9:d6e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$432
RDB$ACL 9:d70
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$433
RDB$ACL 9:d2b
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)22, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$434
RDB$ACL 9:d74
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$435
RDB$ACL 9:d76
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$436
RDB$ACL 9:d78
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$437
RDB$ACL 9:d7a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$438
RDB$ACL 9:d7c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$439
RDB$ACL 9:d7e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$44
RDB$ACL 9:2b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$45
RDB$ACL 9:2c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$46
RDB$ACL 9:2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$47
RDB$ACL 9:2e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$48
RDB$ACL 9:2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$49
RDB$ACL 9:30
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$5
RDB$ACL 9:4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$50
RDB$ACL 9:31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$51
RDB$ACL 9:32
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$52
RDB$ACL 9:33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$53
RDB$ACL 9:34
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$54
RDB$ACL 9:35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$55
RDB$ACL 9:36
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$56
RDB$ACL 9:37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$57
RDB$ACL 9:38
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$58
RDB$ACL 9:39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$59
RDB$ACL 9:3a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$6
RDB$ACL 9:5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$60
RDB$ACL 9:3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$61
RDB$ACL 9:3c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$62
RDB$ACL 9:3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$63
RDB$ACL 9:3e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$64
RDB$ACL 9:3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$65
RDB$ACL 9:40
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$66
RDB$ACL 9:41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$67
RDB$ACL 9:42
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$68
RDB$ACL 9:43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$69
RDB$ACL 9:44
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$7
RDB$ACL 9:6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$70
RDB$ACL 9:45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$71
RDB$ACL 9:46
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$72
RDB$ACL 9:47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$73
RDB$ACL 9:48
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$74
RDB$ACL 9:49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$75
RDB$ACL 9:4a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$76
RDB$ACL 9:4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$77
RDB$ACL 9:4c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$78
RDB$ACL 9:4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$79
RDB$ACL 9:4e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$8
RDB$ACL 9:7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$80
RDB$ACL 9:4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$81
RDB$ACL 9:50
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$82
RDB$ACL 9:51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$83
RDB$ACL 9:52
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$84
RDB$ACL 9:53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$85
RDB$ACL 9:54
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$86
RDB$ACL 9:55
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$87
RDB$ACL 9:56
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$88
RDB$ACL 9:57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$89
RDB$ACL 9:58
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$9
RDB$ACL 9:8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$90
RDB$ACL 9:59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$91
RDB$ACL 9:5a
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$92
RDB$ACL 9:5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$93
RDB$ACL 9:5c
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$94
RDB$ACL 9:5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$95
RDB$ACL 9:5e
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$96
RDB$ACL 9:5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$97
RDB$ACL 9:60
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$98
RDB$ACL 9:61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$99
RDB$ACL 9:62
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, usage)
all users: (*.*), privileges: (usage)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$CHARSETS
RDB$ACL 9:9d9
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$COLLATIONS
RDB$ACL 9:9da
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT1
RDB$ACL 9:9de
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT10
RDB$ACL 9:d27
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT11
RDB$ACL 9:d29
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT12
RDB$ACL 9:d2a
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)3, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT13
RDB$ACL 9:d2d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT14
RDB$ACL 9:d2f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT15
RDB$ACL 9:d31
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT16
RDB$ACL 9:d33
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT17
RDB$ACL 9:d35
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT18
RDB$ACL 9:d37
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT19
RDB$ACL 9:d39
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT2
RDB$ACL 9:9e0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT20
RDB$ACL 9:d3b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT21
RDB$ACL 9:d3d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT22
RDB$ACL 9:d3f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT23
RDB$ACL 9:d41
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT24
RDB$ACL 9:d43
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT25
RDB$ACL 9:d45
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT26
RDB$ACL 9:d47
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT27
RDB$ACL 9:d49
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT28
RDB$ACL 9:d4b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT29
RDB$ACL 9:d4d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT3
RDB$ACL 9:9e2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT30
RDB$ACL 9:d4f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT31
RDB$ACL 9:d51
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT32
RDB$ACL 9:d53
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT33
RDB$ACL 9:d54
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)4, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT34
RDB$ACL 9:d57
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT35
RDB$ACL 9:d59
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT36
RDB$ACL 9:d5b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT37
RDB$ACL 9:d5d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT38
RDB$ACL 9:d5f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT39
RDB$ACL 9:d61
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT4
RDB$ACL 9:9e4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT40
RDB$ACL 9:d63
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT41
RDB$ACL 9:d65
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT42
RDB$ACL 9:d67
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT43
RDB$ACL 9:d69
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT44
RDB$ACL 9:d6b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT45
RDB$ACL 9:d6d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT46
RDB$ACL 9:d6f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT47
RDB$ACL 9:d71
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT48
RDB$ACL 9:d72
ACL version 1
person: SYSDBA, privileges: (alter, control, drop, insert, update, delete, select, references)
(null)22, privileges: (insert, update, delete, select, references)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT49
RDB$ACL 9:d75
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT5
RDB$ACL 9:9e6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT50
RDB$ACL 9:d77
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT51
RDB$ACL 9:d79
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT52
RDB$ACL 9:d7b
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT53
RDB$ACL 9:d7d
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT54
RDB$ACL 9:d7f
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT6
RDB$ACL 9:9e8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT7
RDB$ACL 9:d21
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT8
RDB$ACL 9:d23
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DEFAULT9
RDB$ACL 9:d25
ACL version 1
person: SYSDBA, privileges: (control, alter, drop, select, insert, update, delete)
all users: (*.*), privileges: (select)
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$DOMAINS
RDB$ACL 9:9d6
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$EXCEPTIONS
RDB$ACL 9:9d7
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FILTERS
RDB$ACL 9:9db
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$FUNCTIONS
RDB$ACL 9:9d3
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$GENERATORS
RDB$ACL 9:9d5
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PACKAGES
RDB$ACL 9:9d4
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$PROCEDURES
RDB$ACL 9:9d2
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$ROLES
RDB$ACL 9:9d8
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$TABLES
RDB$ACL 9:9d0
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
RDB$SECURITY_CLASS SQL$VIEWS
RDB$ACL 9:9d1
ACL version 1
person: SYSDBA, privileges: (control, alter, drop)
all users: (*.*), privileges: ()
RDB$DESCRIPTION <null>
Records affected: 505
"""
@pytest.mark.version('>=4.0')
def test_2(act_2: Action):
act_2.expected_stdout = expected_stdout_2
act_2.execute()
assert act_2.clean_expected_stdout == act_2.clean_stdout
| 264 | 0 | 44 |
a1068525133ef72aa06682794691f21e5c9d6339 | 394 | py | Python | lean_bundle/h5_backend/datatypes.py | d-schiffner/lean-bundle | 1d83f2f5b84ba9480a5a07fe45b7e5b6c48e0dca | [
"MIT"
] | null | null | null | lean_bundle/h5_backend/datatypes.py | d-schiffner/lean-bundle | 1d83f2f5b84ba9480a5a07fe45b7e5b6c48e0dca | [
"MIT"
] | null | null | null | lean_bundle/h5_backend/datatypes.py | d-schiffner/lean-bundle | 1d83f2f5b84ba9480a5a07fe45b7e5b6c48e0dca | [
"MIT"
] | null | null | null | import h5py
import numpy as np
from ..utils.datatypes import *
REF_DT = h5py.special_dtype(ref=h5py.Reference)
KEY_VALUE_DT = np.dtype([('key', h5py.special_dtype(vlen=str)), ('value', h5py.special_dtype(vlen=str))])
#special type for actor object types
USER_TYPE_DT = h5py.special_dtype(enum=('i', ACTOR_TYPE_MAP))
INTERACTIVE_LO_DT = h5py.special_dtype(enum=('i', INTERACTIVE_LO_TYPE_MAP))
| 35.818182 | 105 | 0.769036 | import h5py
import numpy as np
from ..utils.datatypes import *
REF_DT = h5py.special_dtype(ref=h5py.Reference)
KEY_VALUE_DT = np.dtype([('key', h5py.special_dtype(vlen=str)), ('value', h5py.special_dtype(vlen=str))])
#special type for actor object types
USER_TYPE_DT = h5py.special_dtype(enum=('i', ACTOR_TYPE_MAP))
INTERACTIVE_LO_DT = h5py.special_dtype(enum=('i', INTERACTIVE_LO_TYPE_MAP))
| 0 | 0 | 0 |
391a2bc3c09ffeb77290ec40e2ea8ac7ffb27dff | 574 | py | Python | fgt_transposer/write.py | MoAl78741/FortiGate-Config-Merger | 9e5b4829e2deae24c62e5b12902ec0120fe3d557 | [
"MIT"
] | null | null | null | fgt_transposer/write.py | MoAl78741/FortiGate-Config-Merger | 9e5b4829e2deae24c62e5b12902ec0120fe3d557 | [
"MIT"
] | null | null | null | fgt_transposer/write.py | MoAl78741/FortiGate-Config-Merger | 9e5b4829e2deae24c62e5b12902ec0120fe3d557 | [
"MIT"
] | null | null | null | from fgt_transposer.exceptions import BackupException
from os import path
import logging
log_msg = logging.getLogger(f"priLogger.{__name__}")
| 30.210526 | 81 | 0.689895 | from fgt_transposer.exceptions import BackupException
from os import path
import logging
log_msg = logging.getLogger(f"priLogger.{__name__}")
def write_config(newfile_name, files):
with open(newfile_name, "w") as nn:
newfile = files
lst_of_keys = newfile.keys()
for i in lst_of_keys:
for line in newfile[i]:
nn.write(line)
if not path.exists(newfile_name):
raise_exception(BackupException, f"Unable to backup file {newfile_name}")
log_msg.info(f"Successfully backed up config for {newfile_name} ")
| 407 | 0 | 23 |
02719cc7b780d80317e269a27b4ec57c792c3aa5 | 362 | py | Python | mopidy/m3u/backend.py | stekern/mopidy | 94509cf70f2bd35ebb13e746dde135bfbe35ce0e | [
"Apache-2.0"
] | 2 | 2019-02-13T15:16:55.000Z | 2019-02-18T08:47:29.000Z | mopidy/m3u/backend.py | stekern/mopidy | 94509cf70f2bd35ebb13e746dde135bfbe35ce0e | [
"Apache-2.0"
] | 40 | 2019-02-13T09:33:00.000Z | 2019-02-19T13:21:12.000Z | mopidy/m3u/backend.py | stekern/mopidy | 94509cf70f2bd35ebb13e746dde135bfbe35ce0e | [
"Apache-2.0"
] | 1 | 2021-10-01T17:26:30.000Z | 2021-10-01T17:26:30.000Z | from __future__ import absolute_import, unicode_literals
import pykka
from mopidy import backend
from . import playlists
| 22.625 | 69 | 0.748619 | from __future__ import absolute_import, unicode_literals
import pykka
from mopidy import backend
from . import playlists
class M3UBackend(pykka.ThreadingActor, backend.Backend):
uri_schemes = ['m3u']
def __init__(self, config, audio):
super(M3UBackend, self).__init__()
self.playlists = playlists.M3UPlaylistsProvider(self, config)
| 126 | 88 | 23 |
b640ae3248e940a8341e0a31d9cb75d1327f5d4b | 1,884 | py | Python | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0094Unindo_dict_listas.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0094Unindo_dict_listas.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | Curso Em Video-python/PYTHON (MUNDO 1, MUNDO 2 E MUNDO 3)/exercicios/ex0094Unindo_dict_listas.py | AlamoVinicius/code-pratice | 924a3ff782caf3695bbeeac39fa02fb23781cd75 | [
"MIT"
] | null | null | null | """ Crie um programa que leia nome, sexo e idade de várias pessoas, guardando os dados de cada pessoa em um
dicionário e todos os dicionários em uma lista. No final, msotre:
a - quantas pessoas foram cadastradas/ b - a média de idade do grupo/ c- uma lista com todas as mulheres.
d - uma lista com todas as pessoas com idade acima da média"""
lista = []
mulheres = []
maiores_media_idade = []
pessoas = {}
media = 0
while True:
pessoas['nome'] = str(input('Nome: ')) # não preciso usar pessoas.clear() pois meu dict automaticamente limpa
# nos novos elementos quando sobrescritos.
pessoas['sexo'] = str(input('sexo: [M/F] ')).strip().upper()[0]
while pessoas['sexo'] not in 'MF':
pessoas['sexo'] = str(input('Por favor, digite somente "M" ou "F": ')).strip().upper()[0]
pessoas['idade'] = int(input('idade: '))
resp = str(input('Deseja continuar? [S/N]: '))
lista.append(pessoas.copy())
if resp in 'Nn':
break
# número de pssoas cadastradas:
print(f"{'='* 40}")
print(f'{"RESULTADOS":^40}')
print(f"{'='* 40}")
print(f'Foram cadastrado {len(lista)} pessoas.')
# média de idade do grupo
for dados in lista:
media += dados['idade']
media /= len(lista)
print(f'A média do grupo de pessoas é {media:.1f}')
# lista de mulheres no grupo
for dados in lista:
if dados['sexo'] == 'F':
mulheres.append(dados['nome'])
print('As mulheres do grupo são: ')
for dados in mulheres:
print(dados)
# lista de pessoas com idade acima da média
print('As pessoas com idade acima da média são: ')
for dados in lista:
if dados['idade'] >= media:
for key, values in dados.items():
print(f'{key} = {values}; ', end='')
''' Algumas diferençãs relacionadas a solução do curso foram observados, pode ser conferido no seguinte link
https://youtu.be/ETnExBCFeps mas nada que altere muita coisa em minha solução. ''' | 37.68 | 115 | 0.66242 | """ Crie um programa que leia nome, sexo e idade de várias pessoas, guardando os dados de cada pessoa em um
dicionário e todos os dicionários em uma lista. No final, msotre:
a - quantas pessoas foram cadastradas/ b - a média de idade do grupo/ c- uma lista com todas as mulheres.
d - uma lista com todas as pessoas com idade acima da média"""
lista = []
mulheres = []
maiores_media_idade = []
pessoas = {}
media = 0
while True:
pessoas['nome'] = str(input('Nome: ')) # não preciso usar pessoas.clear() pois meu dict automaticamente limpa
# nos novos elementos quando sobrescritos.
pessoas['sexo'] = str(input('sexo: [M/F] ')).strip().upper()[0]
while pessoas['sexo'] not in 'MF':
pessoas['sexo'] = str(input('Por favor, digite somente "M" ou "F": ')).strip().upper()[0]
pessoas['idade'] = int(input('idade: '))
resp = str(input('Deseja continuar? [S/N]: '))
lista.append(pessoas.copy())
if resp in 'Nn':
break
# número de pssoas cadastradas:
print(f"{'='* 40}")
print(f'{"RESULTADOS":^40}')
print(f"{'='* 40}")
print(f'Foram cadastrado {len(lista)} pessoas.')
# média de idade do grupo
for dados in lista:
media += dados['idade']
media /= len(lista)
print(f'A média do grupo de pessoas é {media:.1f}')
# lista de mulheres no grupo
for dados in lista:
if dados['sexo'] == 'F':
mulheres.append(dados['nome'])
print('As mulheres do grupo são: ')
for dados in mulheres:
print(dados)
# lista de pessoas com idade acima da média
print('As pessoas com idade acima da média são: ')
for dados in lista:
if dados['idade'] >= media:
for key, values in dados.items():
print(f'{key} = {values}; ', end='')
''' Algumas diferençãs relacionadas a solução do curso foram observados, pode ser conferido no seguinte link
https://youtu.be/ETnExBCFeps mas nada que altere muita coisa em minha solução. ''' | 0 | 0 | 0 |
7286eb32f766700e67aec25ff5e57a270360fdf5 | 3,329 | py | Python | toolbox/data_handler.py | mlelarge/graph_neural_net | bd4ade9312d945b8baadc7709d134ea6af0fc0bb | [
"Apache-2.0"
] | 36 | 2020-03-18T18:56:20.000Z | 2022-03-31T13:39:09.000Z | toolbox/data_handler.py | mlelarge/graph_neural_net | bd4ade9312d945b8baadc7709d134ea6af0fc0bb | [
"Apache-2.0"
] | 11 | 2020-02-25T18:46:23.000Z | 2022-02-07T11:01:37.000Z | toolbox/data_handler.py | mlelarge/graph_neural_net | bd4ade9312d945b8baadc7709d134ea6af0fc0bb | [
"Apache-2.0"
] | 17 | 2020-02-25T18:29:48.000Z | 2022-03-31T13:39:42.000Z | import pandas as pd
import os
from toolbox.utils import check_file
from collections import namedtuple,deque
Task = namedtuple('Task',['column_name','value']) | 31.40566 | 120 | 0.572244 | import pandas as pd
import os
from toolbox.utils import check_file
from collections import namedtuple,deque
class DataHandler():
def __init__(self,filepath) -> None:
self.filepath = filepath
self.data = pd.DataFrame()
self.read(filepath)
def write(self,filepath=''):
if filepath=='':
filepath = self.filepath
self.data.to_csv(filepath, index=False)
print(f'Written to {filepath}')
def read(self,filepath=''):
if filepath=='':
filepath = self.filepath
else:
self.filepath = filepath
if os.path.exists(filepath):
try:
self.data = pd.read_csv(filepath)
except pd.errors.EmptyDataError:
self.data = pd.DataFrame()
else:
check_file(filepath)
self.data = pd.DataFrame()
def new_column(self,name)->None:
if not name in self.data.columns:
self.data.assign(col_name=name)
def new_columns(self,names)->None:
for name in names:
self.new_column(name)
def exists(self, column_name, value) -> bool:
return (column_name in self.data.columns) and ( (self.data[column_name]==value).values.any() )
def line_exists(self,line:dict) -> bool:
df = self.data
if df.empty:
return False
exists = True
for key in line.keys():
df = df.loc[df[key]==line[key]]
if df.empty:
exists = False
break
return exists
def to_do(self, column_name, value):
exists = self.exists(column_name,value) #Checks if a corresponding line exists
# The second part checks if this (these ? It doesn't check there is only one line) line contains a missing value
return (not exists) or self.data.loc[self.data[column_name]==value].isnull().values.any()
def add_entry(self, line : dict, save=True) -> None:
self.new_columns(line.keys())
if not self.line_exists(line):
self.data = self.data.append(line, ignore_index=True)
if save:
self.write()
def add_entry_with_value(self, value_key, value, line:dict, save=True) -> None:
if self.to_do(value_key,value):
if not self.exists(value_key, value):
line[value_key] = value
self.add_entry(line = line, save = save)
else:
for key in line.keys():
self.data.loc[self.data[value_key]==value, key] = line[key]
Task = namedtuple('Task',['column_name','value'])
class Planner(DataHandler):
def __init__(self, filepath) -> None:
super().__init__(filepath)
self.tasks = deque()
@property
def n_tasks(self):
return len(self.tasks)
def add_task(self, task)->None:
if self.to_do(*task):
self.tasks.append(Task(*task))
def add_tasks(self, tasks) -> None:
"""tasks should be a list of tuples (column_name, value)"""
for task in tasks:
self.add_task(*task)
def has_tasks(self):
return len(self.tasks)!=0
def next_task(self):
if len(self.tasks)==0:
return ()
return self.tasks.pop() | 2,487 | 334 | 348 |
22e43818268c9c794932435f41c2180cf9b3e7db | 14,201 | py | Python | comtypes/server/register.py | junkmd/comtypes | 3be0028fad7ac414a43af592484b7608381e0615 | [
"MIT"
] | 1 | 2022-02-25T13:46:54.000Z | 2022-02-25T13:46:54.000Z | comtypes/server/register.py | junkmd/comtypes | 3be0028fad7ac414a43af592484b7608381e0615 | [
"MIT"
] | null | null | null | comtypes/server/register.py | junkmd/comtypes | 3be0028fad7ac414a43af592484b7608381e0615 | [
"MIT"
] | 1 | 2022-02-25T13:47:47.000Z | 2022-02-25T13:47:47.000Z | """comtypes.server.register - register and unregister a COM object.
Exports the UseCommandLine function. UseCommandLine is called with
the COM object classes that a module exposes. It parses the Windows
command line and takes the appropriate actions.
These command line options are supported:
/regserver - register the classes with COM.
/unregserver - unregister the classes with COM.
/nodebug - remove all logging configuration from the registry.
/l <name>=<level> - configure the logging level for the standard Python loggind module,
this option may be used several times.
/f <formatter> - specify the formatter string.
Note: Registering and unregistering the objects does remove logging
entries. Configuring the logging does not change other registry
entries, so it is possible to freeze a comobject with py2exe, register
it, then configure logging afterwards to debug it, and delete the
logging config afterwards.
Sample usage:
Register the COM object:
python mycomobj.py /regserver
Configure logging info:
python mycomobj.py /l comtypes=INFO /l comtypes.server=DEBUG /f %(message)s
Now, debug the object, and when done delete logging info:
python mycomobj.py /nodebug
"""
import sys, os
if sys.version_info >= (3, 0):
import winreg
else:
import _winreg as winreg
import logging
import comtypes
from comtypes.typeinfo import LoadTypeLibEx, UnRegisterTypeLib, REGKIND_REGISTER
from comtypes.hresult import *
from comtypes.server import w_getopt
import comtypes.server.inprocserver
from ctypes import windll, c_ulong, c_wchar_p, WinError, sizeof, create_string_buffer
_debug = logging.getLogger(__name__).debug
# a SHDeleteKey function, will remove a registry key with all subkeys.
SHDeleteKey = windll.shlwapi.SHDeleteKeyW
SHDeleteKey.errcheck = _non_zero
SHDeleteKey.argtypes = c_ulong, c_wchar_p
try:
Set = set
except NameError:
from sets import Set #as set
_KEYS = {winreg.HKEY_CLASSES_ROOT: "HKCR",
winreg.HKEY_LOCAL_MACHINE: "HKLM",
winreg.HKEY_CURRENT_USER: "HKCU"}
class Registrar(object):
"""COM class registration.
The COM class can override what this does by implementing
_register and/or _unregister class methods. These methods will be
called with the calling instance of Registrar, and so can call the
Registrars _register and _unregister methods which do the actual
work.
"""
def nodebug(self, cls):
"""Delete logging entries from the registry."""
clsid = cls._reg_clsid_
try:
_debug('DeleteKey( %s\\CLSID\\%s\\Logging"' % \
(_explain(winreg.HKEY_CLASSES_ROOT), clsid))
hkey = winreg.OpenKey(winreg.HKEY_CLASSES_ROOT, r"CLSID\%s" % clsid)
winreg.DeleteKey(hkey, "Logging")
except WindowsError as detail:
if get_winerror(detail) != 2:
raise
def debug(self, cls, levels, format):
"""Write entries in the registry to setup logging for this clsid."""
# handlers
# format
clsid = cls._reg_clsid_
_debug('CreateKey( %s\\CLSID\\%s\\Logging"' % \
(_explain(winreg.HKEY_CLASSES_ROOT), clsid))
hkey = winreg.CreateKey(winreg.HKEY_CLASSES_ROOT, r"CLSID\%s\Logging" % clsid)
for item in levels:
name, value = item.split("=")
v = getattr(logging, value)
assert isinstance(v, int)
_debug('SetValueEx(levels, %s)' % levels)
winreg.SetValueEx(hkey, "levels", None, winreg.REG_MULTI_SZ, levels)
if format:
_debug('SetValueEx(format, %s)' % format)
winreg.SetValueEx(hkey, "format", None, winreg.REG_SZ, format)
else:
_debug('DeleteValue(format)')
try:
winreg.DeleteValue(hkey, "format")
except WindowsError as detail:
if get_winerror(detail) != 2:
raise
def register(self, cls, executable=None):
"""Register the COM server class."""
# First, we unregister the object with force=True, to force removal
# of all registry entries, even if we would not write them.
# Second, we create new entries.
# It seems ATL does the same.
mth = getattr(cls, "_register", None)
if mth is not None:
mth(self)
else:
self._unregister(cls, force=True)
self._register(cls, executable)
def unregister(self, cls, force=False):
"""Unregister the COM server class."""
mth = getattr(cls, "_unregister", None)
if mth is not None:
mth(self)
else:
self._unregister(cls, force=force)
def _get_serverdll(self):
"""Return the pathname of the dll hosting the COM object."""
handle = getattr(sys, "frozendllhandle", None)
if handle is not None:
buf = create_string_buffer(260)
windll.kernel32.GetModuleFileNameA(handle, buf, sizeof(buf))
return buf[:]
import _ctypes
return _ctypes.__file__
def _get_full_classname(self, cls):
"""Return <modulename>.<classname> for 'cls'."""
modname = cls.__module__
if modname == "__main__":
modname = os.path.splitext(os.path.basename(sys.argv[0]))[0]
return "%s.%s" % (modname, cls.__name__)
def _get_pythonpath(self, cls):
"""Return the filesystem path of the module containing 'cls'."""
modname = cls.__module__
dirname = os.path.dirname(sys.modules[modname].__file__)
return os.path.abspath(dirname)
def _registry_entries(self, cls):
"""Return a sequence of tuples containing registry entries.
The tuples must be (key, subkey, name, value).
Required entries:
=================
_reg_clsid_ - a string or GUID instance
_reg_clsctx_ - server type(s) to register
Optional entries:
=================
_reg_desc_ - a string
_reg_progid_ - a string naming the progid, typically 'MyServer.MyObject.1'
_reg_novers_progid_ - version independend progid, typically 'MyServer.MyObject'
_reg_typelib_ - an tuple (libid, majorversion, minorversion) specifying a typelib.
_reg_threading_ - a string specifying the threading model
Note that the first part of the progid string is typically the
IDL library name of the type library containing the coclass.
"""
HKCR = winreg.HKEY_CLASSES_ROOT
# table format: rootkey, subkey, valuename, value
table = []
append = lambda *args: table.append(args)
# basic entry - names the comobject
reg_clsid = str(cls._reg_clsid_) # that's the only required attribute for registration
reg_desc = getattr(cls, "_reg_desc_", "")
if not reg_desc:
# Simple minded algorithm to construct a description from
# the progid:
reg_desc = getattr(cls, "_reg_novers_progid_", "") or \
getattr(cls, "_reg_progid_", "")
if reg_desc:
reg_desc = reg_desc.replace(".", " ")
append(HKCR, "CLSID\\%s" % reg_clsid, "", reg_desc)
reg_progid = getattr(cls, "_reg_progid_", None)
if reg_progid:
# for ProgIDFromCLSID:
append(HKCR, "CLSID\\%s\\ProgID" % reg_clsid, "", reg_progid) # 1
# for CLSIDFromProgID
if reg_desc:
append(HKCR, reg_progid, "", reg_desc) # 2
append(HKCR, "%s\\CLSID" % reg_progid, "", reg_clsid) # 3
reg_novers_progid = getattr(cls, "_reg_novers_progid_", None)
if reg_novers_progid:
append(HKCR, "CLSID\\%s\\VersionIndependentProgID" % reg_clsid, # 1a
"", reg_novers_progid)
if reg_desc:
append(HKCR, reg_novers_progid, "", reg_desc) # 2a
append(HKCR, "%s\\CurVer" % reg_novers_progid, "", reg_progid) #
append(HKCR, "%s\\CLSID" % reg_novers_progid, "", reg_clsid) # 3a
clsctx = getattr(cls, "_reg_clsctx_", 0)
if clsctx & comtypes.CLSCTX_LOCAL_SERVER \
and not hasattr(sys, "frozendllhandle"):
exe = sys.executable
if " " in exe:
exe = '"%s"' % exe
if not hasattr(sys, "frozen"):
if not __debug__:
exe = "%s -O" % exe
script = os.path.abspath(sys.modules[cls.__module__].__file__)
if " " in script:
script = '"%s"' % script
append(HKCR, "CLSID\\%s\\LocalServer32" % reg_clsid, "", "%s %s" % (exe, script))
else:
append(HKCR, "CLSID\\%s\\LocalServer32" % reg_clsid, "", "%s" % exe)
# Register InprocServer32 only when run from script or from
# py2exe dll server, not from py2exe exe server.
if clsctx & comtypes.CLSCTX_INPROC_SERVER \
and getattr(sys, "frozen", None) in (None, "dll"):
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"", self._get_serverdll())
# only for non-frozen inproc servers the PythonPath/PythonClass is needed.
if not hasattr(sys, "frozendllhandle") \
or not comtypes.server.inprocserver._clsid_to_class:
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"PythonClass", self._get_full_classname(cls))
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"PythonPath", self._get_pythonpath(cls))
reg_threading = getattr(cls, "_reg_threading_", None)
if reg_threading is not None:
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"ThreadingModel", reg_threading)
reg_tlib = getattr(cls, "_reg_typelib_", None)
if reg_tlib is not None:
append(HKCR, "CLSID\\%s\\Typelib" % reg_clsid, "", reg_tlib[0])
return table
################################################################
if __name__ == "__main__":
UseCommandLine()
| 37.469657 | 117 | 0.594958 | """comtypes.server.register - register and unregister a COM object.
Exports the UseCommandLine function. UseCommandLine is called with
the COM object classes that a module exposes. It parses the Windows
command line and takes the appropriate actions.
These command line options are supported:
/regserver - register the classes with COM.
/unregserver - unregister the classes with COM.
/nodebug - remove all logging configuration from the registry.
/l <name>=<level> - configure the logging level for the standard Python loggind module,
this option may be used several times.
/f <formatter> - specify the formatter string.
Note: Registering and unregistering the objects does remove logging
entries. Configuring the logging does not change other registry
entries, so it is possible to freeze a comobject with py2exe, register
it, then configure logging afterwards to debug it, and delete the
logging config afterwards.
Sample usage:
Register the COM object:
python mycomobj.py /regserver
Configure logging info:
python mycomobj.py /l comtypes=INFO /l comtypes.server=DEBUG /f %(message)s
Now, debug the object, and when done delete logging info:
python mycomobj.py /nodebug
"""
import sys, os
if sys.version_info >= (3, 0):
import winreg
else:
import _winreg as winreg
import logging
import comtypes
from comtypes.typeinfo import LoadTypeLibEx, UnRegisterTypeLib, REGKIND_REGISTER
from comtypes.hresult import *
from comtypes.server import w_getopt
import comtypes.server.inprocserver
from ctypes import windll, c_ulong, c_wchar_p, WinError, sizeof, create_string_buffer
_debug = logging.getLogger(__name__).debug
def get_winerror(exception):
try:
return exception.winerror
except AttributeError:
return exception.errno
# a SHDeleteKey function, will remove a registry key with all subkeys.
def _non_zero(retval, func, args):
if retval:
raise WinError(retval)
SHDeleteKey = windll.shlwapi.SHDeleteKeyW
SHDeleteKey.errcheck = _non_zero
SHDeleteKey.argtypes = c_ulong, c_wchar_p
try:
Set = set
except NameError:
from sets import Set #as set
_KEYS = {winreg.HKEY_CLASSES_ROOT: "HKCR",
winreg.HKEY_LOCAL_MACHINE: "HKLM",
winreg.HKEY_CURRENT_USER: "HKCU"}
def _explain(hkey):
return _KEYS.get(hkey, hkey)
class Registrar(object):
"""COM class registration.
The COM class can override what this does by implementing
_register and/or _unregister class methods. These methods will be
called with the calling instance of Registrar, and so can call the
Registrars _register and _unregister methods which do the actual
work.
"""
def nodebug(self, cls):
"""Delete logging entries from the registry."""
clsid = cls._reg_clsid_
try:
_debug('DeleteKey( %s\\CLSID\\%s\\Logging"' % \
(_explain(winreg.HKEY_CLASSES_ROOT), clsid))
hkey = winreg.OpenKey(winreg.HKEY_CLASSES_ROOT, r"CLSID\%s" % clsid)
winreg.DeleteKey(hkey, "Logging")
except WindowsError as detail:
if get_winerror(detail) != 2:
raise
def debug(self, cls, levels, format):
"""Write entries in the registry to setup logging for this clsid."""
# handlers
# format
clsid = cls._reg_clsid_
_debug('CreateKey( %s\\CLSID\\%s\\Logging"' % \
(_explain(winreg.HKEY_CLASSES_ROOT), clsid))
hkey = winreg.CreateKey(winreg.HKEY_CLASSES_ROOT, r"CLSID\%s\Logging" % clsid)
for item in levels:
name, value = item.split("=")
v = getattr(logging, value)
assert isinstance(v, int)
_debug('SetValueEx(levels, %s)' % levels)
winreg.SetValueEx(hkey, "levels", None, winreg.REG_MULTI_SZ, levels)
if format:
_debug('SetValueEx(format, %s)' % format)
winreg.SetValueEx(hkey, "format", None, winreg.REG_SZ, format)
else:
_debug('DeleteValue(format)')
try:
winreg.DeleteValue(hkey, "format")
except WindowsError as detail:
if get_winerror(detail) != 2:
raise
def register(self, cls, executable=None):
"""Register the COM server class."""
# First, we unregister the object with force=True, to force removal
# of all registry entries, even if we would not write them.
# Second, we create new entries.
# It seems ATL does the same.
mth = getattr(cls, "_register", None)
if mth is not None:
mth(self)
else:
self._unregister(cls, force=True)
self._register(cls, executable)
def _register(self, cls, executable=None):
table = self._registry_entries(cls)
table.sort()
_debug("Registering %s", cls)
for hkey, subkey, valuename, value in table:
_debug ('[%s\\%s]', _explain(hkey), subkey)
_debug('%s="%s"', valuename or "@", value)
k = winreg.CreateKey(hkey, subkey)
winreg.SetValueEx(k, valuename, None, winreg.REG_SZ, str(value))
tlib = getattr(cls, "_reg_typelib_", None)
if tlib is not None:
if hasattr(sys, "frozendllhandle"):
dll = self._get_serverdll()
_debug("LoadTypeLibEx(%s, REGKIND_REGISTER)", dll)
LoadTypeLibEx(dll, REGKIND_REGISTER)
else:
if executable:
path = executable
elif hasattr(sys, "frozen"):
path = sys.executable
else:
path = cls._typelib_path_
_debug("LoadTypeLibEx(%s, REGKIND_REGISTER)", path)
LoadTypeLibEx(path, REGKIND_REGISTER)
_debug("Done")
def unregister(self, cls, force=False):
"""Unregister the COM server class."""
mth = getattr(cls, "_unregister", None)
if mth is not None:
mth(self)
else:
self._unregister(cls, force=force)
def _unregister(self, cls, force=False):
# If force==False, we only remove those entries that we
# actually would have written. It seems ATL does the same.
table = [t[:2] for t in self._registry_entries(cls)]
# only unique entries
table = list(set(table))
table.sort()
table.reverse()
_debug("Unregister %s", cls)
for hkey, subkey in table:
try:
if force:
_debug("SHDeleteKey %s\\%s", _explain(hkey), subkey)
SHDeleteKey(hkey, subkey)
else:
_debug("DeleteKey %s\\%s", _explain(hkey), subkey)
winreg.DeleteKey(hkey, subkey)
except WindowsError as detail:
if get_winerror(detail) != 2:
raise
tlib = getattr(cls, "_reg_typelib_", None)
if tlib is not None:
try:
_debug("UnRegisterTypeLib(%s, %s, %s)", *tlib)
UnRegisterTypeLib(*tlib)
except WindowsError as detail:
if not get_winerror(detail) in (TYPE_E_REGISTRYACCESS, TYPE_E_CANTLOADLIBRARY):
raise
_debug("Done")
def _get_serverdll(self):
"""Return the pathname of the dll hosting the COM object."""
handle = getattr(sys, "frozendllhandle", None)
if handle is not None:
buf = create_string_buffer(260)
windll.kernel32.GetModuleFileNameA(handle, buf, sizeof(buf))
return buf[:]
import _ctypes
return _ctypes.__file__
def _get_full_classname(self, cls):
"""Return <modulename>.<classname> for 'cls'."""
modname = cls.__module__
if modname == "__main__":
modname = os.path.splitext(os.path.basename(sys.argv[0]))[0]
return "%s.%s" % (modname, cls.__name__)
def _get_pythonpath(self, cls):
"""Return the filesystem path of the module containing 'cls'."""
modname = cls.__module__
dirname = os.path.dirname(sys.modules[modname].__file__)
return os.path.abspath(dirname)
def _registry_entries(self, cls):
"""Return a sequence of tuples containing registry entries.
The tuples must be (key, subkey, name, value).
Required entries:
=================
_reg_clsid_ - a string or GUID instance
_reg_clsctx_ - server type(s) to register
Optional entries:
=================
_reg_desc_ - a string
_reg_progid_ - a string naming the progid, typically 'MyServer.MyObject.1'
_reg_novers_progid_ - version independend progid, typically 'MyServer.MyObject'
_reg_typelib_ - an tuple (libid, majorversion, minorversion) specifying a typelib.
_reg_threading_ - a string specifying the threading model
Note that the first part of the progid string is typically the
IDL library name of the type library containing the coclass.
"""
HKCR = winreg.HKEY_CLASSES_ROOT
# table format: rootkey, subkey, valuename, value
table = []
append = lambda *args: table.append(args)
# basic entry - names the comobject
reg_clsid = str(cls._reg_clsid_) # that's the only required attribute for registration
reg_desc = getattr(cls, "_reg_desc_", "")
if not reg_desc:
# Simple minded algorithm to construct a description from
# the progid:
reg_desc = getattr(cls, "_reg_novers_progid_", "") or \
getattr(cls, "_reg_progid_", "")
if reg_desc:
reg_desc = reg_desc.replace(".", " ")
append(HKCR, "CLSID\\%s" % reg_clsid, "", reg_desc)
reg_progid = getattr(cls, "_reg_progid_", None)
if reg_progid:
# for ProgIDFromCLSID:
append(HKCR, "CLSID\\%s\\ProgID" % reg_clsid, "", reg_progid) # 1
# for CLSIDFromProgID
if reg_desc:
append(HKCR, reg_progid, "", reg_desc) # 2
append(HKCR, "%s\\CLSID" % reg_progid, "", reg_clsid) # 3
reg_novers_progid = getattr(cls, "_reg_novers_progid_", None)
if reg_novers_progid:
append(HKCR, "CLSID\\%s\\VersionIndependentProgID" % reg_clsid, # 1a
"", reg_novers_progid)
if reg_desc:
append(HKCR, reg_novers_progid, "", reg_desc) # 2a
append(HKCR, "%s\\CurVer" % reg_novers_progid, "", reg_progid) #
append(HKCR, "%s\\CLSID" % reg_novers_progid, "", reg_clsid) # 3a
clsctx = getattr(cls, "_reg_clsctx_", 0)
if clsctx & comtypes.CLSCTX_LOCAL_SERVER \
and not hasattr(sys, "frozendllhandle"):
exe = sys.executable
if " " in exe:
exe = '"%s"' % exe
if not hasattr(sys, "frozen"):
if not __debug__:
exe = "%s -O" % exe
script = os.path.abspath(sys.modules[cls.__module__].__file__)
if " " in script:
script = '"%s"' % script
append(HKCR, "CLSID\\%s\\LocalServer32" % reg_clsid, "", "%s %s" % (exe, script))
else:
append(HKCR, "CLSID\\%s\\LocalServer32" % reg_clsid, "", "%s" % exe)
# Register InprocServer32 only when run from script or from
# py2exe dll server, not from py2exe exe server.
if clsctx & comtypes.CLSCTX_INPROC_SERVER \
and getattr(sys, "frozen", None) in (None, "dll"):
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"", self._get_serverdll())
# only for non-frozen inproc servers the PythonPath/PythonClass is needed.
if not hasattr(sys, "frozendllhandle") \
or not comtypes.server.inprocserver._clsid_to_class:
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"PythonClass", self._get_full_classname(cls))
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"PythonPath", self._get_pythonpath(cls))
reg_threading = getattr(cls, "_reg_threading_", None)
if reg_threading is not None:
append(HKCR, "CLSID\\%s\\InprocServer32" % reg_clsid,
"ThreadingModel", reg_threading)
reg_tlib = getattr(cls, "_reg_typelib_", None)
if reg_tlib is not None:
append(HKCR, "CLSID\\%s\\Typelib" % reg_clsid, "", reg_tlib[0])
return table
################################################################
def register(cls):
Registrar().register(cls)
def unregister(cls):
Registrar().unregister(cls)
def UseCommandLine(*classes):
usage = """Usage: %s [-regserver] [-unregserver] [-nodebug] [-f logformat] [-l loggername=level]""" % sys.argv[0]
opts, args = w_getopt.w_getopt(sys.argv[1:],
"regserver unregserver embedding l: f: nodebug")
if not opts:
sys.stderr.write(usage + "\n")
return 0 # nothing for us to do
levels = []
format = None
nodebug = False
runit = False
for option, value in opts:
if option == "regserver":
for cls in classes:
register(cls)
elif option == "unregserver":
for cls in classes:
unregister(cls)
elif option == "embedding":
runit = True
elif option == "f":
format = value
elif option == "l":
levels.append(value)
elif option == "nodebug":
nodebug = True
if levels or format is not None:
for cls in classes:
Registrar().debug(cls, levels, format)
if nodebug:
for cls in classes:
Registrar().nodebug(cls)
if runit:
import comtypes.server.localserver
comtypes.server.localserver.run(classes)
return 1 # we have done something
if __name__ == "__main__":
UseCommandLine()
| 3,789 | 0 | 191 |
0db440d4886e1de9666e887db833f804e052aceb | 428 | py | Python | src/waldur_rancher/tests/utils.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 26 | 2017-10-18T13:49:58.000Z | 2021-09-19T04:44:09.000Z | src/waldur_rancher/tests/utils.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 14 | 2018-12-10T14:14:51.000Z | 2021-06-07T10:33:39.000Z | src/waldur_rancher/tests/utils.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 32 | 2017-09-24T03:10:45.000Z | 2021-10-16T16:41:09.000Z | import copy
import json
import pkg_resources
from django.conf import settings
from django.test import override_settings
backend_node_response = json.loads(
pkg_resources.resource_stream(__name__, 'backend_node.json').read().decode()
)
| 25.176471 | 80 | 0.806075 | import copy
import json
import pkg_resources
from django.conf import settings
from django.test import override_settings
backend_node_response = json.loads(
pkg_resources.resource_stream(__name__, 'backend_node.json').read().decode()
)
def override_plugin_settings(**kwargs):
os_settings = copy.deepcopy(settings.WALDUR_RANCHER)
os_settings.update(kwargs)
return override_settings(WALDUR_RANCHER=os_settings)
| 163 | 0 | 23 |
7bed7bac0864f20a192d2398a2fa808183443d70 | 427 | py | Python | Physics250-ME21/conductingRing.py | illusion173/Physics250 | 69f2ffdb8af013e8b0739779861c1455b579ddaf | [
"MIT"
] | null | null | null | Physics250-ME21/conductingRing.py | illusion173/Physics250 | 69f2ffdb8af013e8b0739779861c1455b579ddaf | [
"MIT"
] | null | null | null | Physics250-ME21/conductingRing.py | illusion173/Physics250 | 69f2ffdb8af013e8b0739779861c1455b579ddaf | [
"MIT"
] | null | null | null | import numpy as np
import math
Esubo = 8.854 * pow(10,-12)
k = 8.988 * pow(10,9)
chargeconstant = 1.602 * pow(10,-19)
conductingRing() | 21.35 | 93 | 0.613583 | import numpy as np
import math
Esubo = 8.854 * pow(10,-12)
k = 8.988 * pow(10,9)
chargeconstant = 1.602 * pow(10,-19)
def conductingRing():
charge = float(input("Input Charge: "))
radius = float(input("Radius: "))
distance = float(input("Distance: "))
electricField = ((k * charge * distance)/(pow(pow(radius,2)+pow(distance,2),3/2)))/100000
print(electricField)
conductingRing() | 264 | 0 | 23 |
ac35996dba9afde822b77d1b4ba444f9662895aa | 2,437 | py | Python | ben_ten_adventure/ui.py | Ben-10-Secret-of-the-Omnitrix-Game/Ben-10-Adventure | ede699de0369e6614665acc06b872f81bbb124c8 | [
"MIT"
] | 1 | 2021-01-16T21:48:32.000Z | 2021-01-16T21:48:32.000Z | ben_ten_adventure/ui.py | Ben-10-Secret-of-the-Omnitrix-Game/Ben-10-Adventure | ede699de0369e6614665acc06b872f81bbb124c8 | [
"MIT"
] | null | null | null | ben_ten_adventure/ui.py | Ben-10-Secret-of-the-Omnitrix-Game/Ben-10-Adventure | ede699de0369e6614665acc06b872f81bbb124c8 | [
"MIT"
] | null | null | null | import pygame_gui
import pygame
from pygame.transform import scale
from .game_engine import RESOLUTION, ga, manager
HD = (1280, 720)
FULL_HD = (1920, 1080)
def vertical(size, startcolor, endcolor):
"""
Draws a vertical linear gradient filling the entire surface. Returns a
surface filled with the gradient (numeric is only 2-3 times faster).
"""
height = size[1]
bigSurf = pygame.Surface((1, height)).convert_alpha()
dd = 1.0 / height
sr, sg, sb, sa = startcolor
er, eg, eb, ea = endcolor
rm = (er - sr) * dd
gm = (eg - sg) * dd
bm = (eb - sb) * dd
am = (ea - sa) * dd
for y in range(height):
bigSurf.set_at((0, y),
(int(sr + rm * y),
int(sg + gm * y),
int(sb + bm * y),
int(sa + am * y))
)
return scale(bigSurf, size)
| 40.616667 | 111 | 0.61387 | import pygame_gui
import pygame
from pygame.transform import scale
from .game_engine import RESOLUTION, ga, manager
HD = (1280, 720)
FULL_HD = (1920, 1080)
def vertical(size, startcolor, endcolor):
"""
Draws a vertical linear gradient filling the entire surface. Returns a
surface filled with the gradient (numeric is only 2-3 times faster).
"""
height = size[1]
bigSurf = pygame.Surface((1, height)).convert_alpha()
dd = 1.0 / height
sr, sg, sb, sa = startcolor
er, eg, eb, ea = endcolor
rm = (er - sr) * dd
gm = (eg - sg) * dd
bm = (eb - sb) * dd
am = (ea - sa) * dd
for y in range(height):
bigSurf.set_at((0, y),
(int(sr + rm * y),
int(sg + gm * y),
int(sb + bm * y),
int(sa + am * y))
)
return scale(bigSurf, size)
def draw_main_screen():
# background_gradient = vertical(win_size, (118, 174, 62, 255), (9, 48, 21, 255))
if RESOLUTION <= HD:
sab = pygame_gui.elements.UIButton(pygame.Rect(500, 360, 272, 50), '', manager=manager)
sab.drawable_shape.states['normal'].surface.blit(ga.start_adventure_button_x2, (0, 0))
sab.drawable_shape.active_state.has_fresh_surface = True
ob = pygame_gui.elements.UIButton(pygame.Rect(540, 410, *ga.options_button_x2.get_rect()[2:]), '',
manager=manager)
ob.drawable_shape.states['normal'].surface.blit(ga.options_button_x2, (0, 0))
ob.drawable_shape.active_state.has_fresh_surface = True
elif RESOLUTION >= FULL_HD:
sab_size = ga.start_adventure_button_x2.get_rect()[2:]
sab_new = scale(ga.start_adventure_button_x2, (sab_size[0] * 2, sab_size[1] * 2))
sab = pygame_gui.elements.UIButton(pygame.Rect(350, 300, *sab_new.get_rect()[2:]), '', manager=manager)
sab.drawable_shape.states['normal'].surface.blit(sab_new, (0, 0))
sab.drawable_shape.active_state.has_fresh_surface = True
ob_size = ga.options_button_x2.get_rect()[2:]
ob_new = scale(ga.options_button_x2, (ob_size[0] * 2, ob_size[1] * 2))
ob = pygame_gui.elements.UIButton(pygame.Rect(450, 400, *ob_new.get_rect()[2:]), '', manager=manager)
ob.drawable_shape.states['normal'].surface.blit(ob_new, (0, 0))
ob.drawable_shape.active_state.has_fresh_surface = True
| 1,503 | 0 | 23 |
e75405f656394553bba9f371073eac1ef69a8ee7 | 2,979 | py | Python | routes/internal_routes.py | Madpilot0/FlaskDashboard | 73fddbee9f04da415ffdbf6f4062d17dc777aed5 | [
"MIT"
] | 2 | 2018-12-15T03:55:23.000Z | 2021-03-23T09:23:25.000Z | routes/internal_routes.py | Madpilot0/FlaskDashboard | 73fddbee9f04da415ffdbf6f4062d17dc777aed5 | [
"MIT"
] | 2 | 2018-08-31T19:13:03.000Z | 2021-02-04T12:41:31.000Z | routes/internal_routes.py | Madpilot0/FlaskDashboard | 73fddbee9f04da415ffdbf6f4062d17dc777aed5 | [
"MIT"
] | 3 | 2020-08-21T02:19:16.000Z | 2021-03-10T19:15:07.000Z | from flask import Blueprint, render_template, abort, session, redirect, url_for, request
from functools import wraps
from lib.Users import Users
from lib.Groups import Groups
from lib.Database import Database
import json
internal_routes = Blueprint('internal_routes', __name__, template_folder='templates')
users = Users()
groups = Groups()
db = Database()
#Internal routes
#Users
@internal_routes.route('/internal/users/getAllUsers')
@requires_auth
@requires_admin
@internal_routes.route('/internal/users/getUserInfo')
@requires_auth
@internal_routes.route('/internal/users/addUser', methods=["POST"])
@requires_auth
@requires_admin
@internal_routes.route('/internal/users/getUserInfoAdmin/<user>')
@requires_auth
@requires_admin
@internal_routes.route('/internal/users/editUserAdmin', methods=["POST"])
@requires_auth
@requires_admin
@internal_routes.route('/internal/users/saveUserPassword', methods=["POST"])
@requires_auth
#Groups
@internal_routes.route('/internal/groups/getAllGroups')
@requires_auth
@requires_admin
@internal_routes.route('/internal/groups/getGroupDetails/<group>')
@requires_auth
@requires_admin
@internal_routes.route('/internal/groups/addGroup', methods=["POST"])
@requires_auth
@requires_admin
@internal_routes.route('/internal/groups/editGroup', methods=["POST"])
@requires_auth
@requires_admin
@internal_routes.route('/internal/groups/delGroup/<group>')
@requires_auth
@requires_admin | 27.841121 | 88 | 0.772071 | from flask import Blueprint, render_template, abort, session, redirect, url_for, request
from functools import wraps
from lib.Users import Users
from lib.Groups import Groups
from lib.Database import Database
import json
def requires_auth(f):
@wraps(f)
def decorated_auth(*args, **kwargs):
if 'username' not in session:
return redirect(url_for('page_routes.login'))
return f(*args, **kwargs)
return decorated_auth
def requires_admin(f):
@wraps(f)
def decorated_admin(*args, **kwargs):
#Check if admin
if not users.isAdmin():
return json.dumps({"error": "Unauthorized"}),401
return f(*args, **kwargs)
return decorated_admin
internal_routes = Blueprint('internal_routes', __name__, template_folder='templates')
users = Users()
groups = Groups()
db = Database()
#Internal routes
#Users
@internal_routes.route('/internal/users/getAllUsers')
@requires_auth
@requires_admin
def getAllUsers():
return json.dumps(users.getAllUsers())
@internal_routes.route('/internal/users/getUserInfo')
@requires_auth
def getUserInfo():
return json.dumps(users.getUserInfo())
@internal_routes.route('/internal/users/addUser', methods=["POST"])
@requires_auth
@requires_admin
def addUser():
res = users.addUser(request.form)
return redirect(url_for('page_routes.admin'))
@internal_routes.route('/internal/users/getUserInfoAdmin/<user>')
@requires_auth
@requires_admin
def getUserInfoAdmin(user):
return json.dumps(users.getUserInfo(user))
@internal_routes.route('/internal/users/editUserAdmin', methods=["POST"])
@requires_auth
@requires_admin
def editUserInfoAdmin():
res = users.editUser(request.form)
return redirect(url_for('page_routes.admin'))
@internal_routes.route('/internal/users/saveUserPassword', methods=["POST"])
@requires_auth
def saveUserPassword():
res = users.saveUserPassword(request.form["password"])
redirectPage = list(filter(None, request.form["page"].split("/")))
if len(redirectPage) == 0:
redirectPage = 'index'
else:
redirectPage = redirectPage[1]
return redirect(url_for('page_routes.'+redirectPage))
#Groups
@internal_routes.route('/internal/groups/getAllGroups')
@requires_auth
@requires_admin
def getGroups():
return json.dumps(groups.getGroups())
@internal_routes.route('/internal/groups/getGroupDetails/<group>')
@requires_auth
@requires_admin
def getGroupDetails(group):
return json.dumps(groups.getGroupDetails(group))
@internal_routes.route('/internal/groups/addGroup', methods=["POST"])
@requires_auth
@requires_admin
def addGroup():
res = groups.addGroup(request.form)
return redirect(url_for('page_routes.admin'))
@internal_routes.route('/internal/groups/editGroup', methods=["POST"])
@requires_auth
@requires_admin
def editGroup():
res = groups.editGroup(request.form)
return redirect(url_for('page_routes.admin'))
@internal_routes.route('/internal/groups/delGroup/<group>')
@requires_auth
@requires_admin
def delGroup(group):
res = groups.delGroup(group)
return redirect(url_for('page_routes.admin')) | 1,263 | 0 | 288 |
cb3a583cba047c6edf4fadbc326270db7a1780ab | 829 | py | Python | setup.py | akaariai/drf-fast-serializer | ff286e58f1a073a4fe6f256fe2279e9fb39bbcee | [
"MIT"
] | 27 | 2015-03-01T19:15:55.000Z | 2022-01-13T22:57:43.000Z | setup.py | akaariai/drf-fast-serializer | ff286e58f1a073a4fe6f256fe2279e9fb39bbcee | [
"MIT"
] | 1 | 2015-03-01T19:19:00.000Z | 2015-03-01T19:19:00.000Z | setup.py | akaariai/drf-fast-serializer | ff286e58f1a073a4fe6f256fe2279e9fb39bbcee | [
"MIT"
] | 8 | 2015-07-10T08:24:12.000Z | 2020-10-05T19:54:45.000Z | # -*- encoding: utf-8 -*-
import os
from setuptools import setup
setup(
name="drf-fast-serializer",
version="0.1-dev",
description="A fast serializer mixin for Django request framework",
long_description=read('readme.md'),
url='https://github.com/akaariai/drf-fast-serializer',
license='MIT',
author=u'Anssi Kääriäinen',
author_email='akaariai@gmail.com',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Environment :: Console',
'Framework :: Django',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent',
'Programming Language :: Python',
],
packages=['fast_serializer']
)
| 31.884615 | 71 | 0.640531 | # -*- encoding: utf-8 -*-
import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="drf-fast-serializer",
version="0.1-dev",
description="A fast serializer mixin for Django request framework",
long_description=read('readme.md'),
url='https://github.com/akaariai/drf-fast-serializer',
license='MIT',
author=u'Anssi Kääriäinen',
author_email='akaariai@gmail.com',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Environment :: Console',
'Framework :: Django',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent',
'Programming Language :: Python',
],
packages=['fast_serializer']
)
| 66 | 0 | 22 |
102046e68e582ec40bf3e5235359ef4f4a81ca45 | 1,088 | py | Python | src/arbies/workers/image.py | broiledmeat/arbies | 29f3ce498dbd3265b1181dde62629df3deda0440 | [
"MIT"
] | null | null | null | src/arbies/workers/image.py | broiledmeat/arbies | 29f3ce498dbd3265b1181dde62629df3deda0440 | [
"MIT"
] | null | null | null | src/arbies/workers/image.py | broiledmeat/arbies | 29f3ce498dbd3265b1181dde62629df3deda0440 | [
"MIT"
] | null | null | null | from __future__ import annotations
from PIL import Image
from typing import Optional
from arbies import drawing
from arbies.drawing import HorizontalAlignment, VerticalAlignment
from arbies.manager import Manager, ConfigDict
from arbies.workers import Worker
| 32 | 78 | 0.651654 | from __future__ import annotations
from PIL import Image
from typing import Optional
from arbies import drawing
from arbies.drawing import HorizontalAlignment, VerticalAlignment
from arbies.manager import Manager, ConfigDict
from arbies.workers import Worker
class ImageWorker(Worker):
def __init__(self, manager: Manager):
super().__init__(manager)
self.loop_interval = 0.5 * 60
self.path: Optional[str] = None
def render(self):
image = Image.new('1', self.size, 1)
drawing.draw_image(image,
Image.open(self.path),
resize=True,
horizontal_alignment=HorizontalAlignment.CENTER,
vertical_alignment=VerticalAlignment.CENTER)
self.serve(image)
@classmethod
def from_config(cls, manager: Manager, config: ConfigDict) -> ImageWorker:
# noinspection PyTypeChecker
worker: ImageWorker = super().from_config(manager, config)
worker.path = config.get('path', worker.path)
return worker
| 703 | 102 | 23 |
3c626024e40ae3dde1f4925204274dc99f9dec89 | 138 | py | Python | my/reading/goodreads.py | aluhrs13/HPI | e750666e30e8987f3a4c46755857dc85dd64446c | [
"MIT"
] | 1,026 | 2020-03-16T16:53:29.000Z | 2022-03-29T16:03:38.000Z | my/reading/goodreads.py | aluhrs13/HPI | e750666e30e8987f3a4c46755857dc85dd64446c | [
"MIT"
] | 102 | 2020-03-18T22:53:29.000Z | 2022-03-22T00:34:46.000Z | my/reading/goodreads.py | aluhrs13/HPI | e750666e30e8987f3a4c46755857dc85dd64446c | [
"MIT"
] | 50 | 2020-03-17T21:00:34.000Z | 2022-03-28T08:37:13.000Z | from my.core import warnings
warnings.medium('my.reading.goodreads is deprecated! Use my.goodreads instead!')
from ..goodreads import *
| 23 | 80 | 0.782609 | from my.core import warnings
warnings.medium('my.reading.goodreads is deprecated! Use my.goodreads instead!')
from ..goodreads import *
| 0 | 0 | 0 |
db28497c5293e87aa7f5a3bd4a943451b7e89387 | 4,551 | py | Python | flod_organisations/alembic/versions/20140123-0821-56aa02f54e74_converting_brreg_activity_codes_from_fixture_.py | Trondheim-kommune/Tilskuddsbasen | 4f8ce270ef7296069f8e43bfb4bf6a570a7a35d4 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2017-10-17T12:15:28.000Z | 2017-10-17T12:15:28.000Z | flod_organisations/alembic/versions/20140123-0821-56aa02f54e74_converting_brreg_activity_codes_from_fixture_.py | Trondheim-kommune/Bookingbasen | 58235a5a1fd6ad291cb237e6ec9a67bfe8c463c6 | [
"BSD-2-Clause-FreeBSD"
] | 6 | 2021-03-22T17:15:52.000Z | 2022-01-13T00:39:58.000Z | flod_organisations/alembic/versions/20140123-0821-56aa02f54e74_converting_brreg_activity_codes_from_fixture_.py | Trondheim-kommune/Tilskuddsbasen | 4f8ce270ef7296069f8e43bfb4bf6a570a7a35d4 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-09-09T13:35:03.000Z | 2019-09-09T13:35:03.000Z | # -*- coding: utf-8 -*-
"""Converting brreg_activity_codes from fixture to alembic migration
Revision ID: 56aa02f54e74
Revises: 357cc9fc466b
Create Date: 2014-01-23 08:21:22.953015
"""
# revision identifiers, used by Alembic.
from sqlalchemy.sql import table, column
from sqlalchemy import String
revision = '56aa02f54e74'
down_revision = '357cc9fc466b'
from alembic import op
| 27.920245 | 78 | 0.390024 | # -*- coding: utf-8 -*-
"""Converting brreg_activity_codes from fixture to alembic migration
Revision ID: 56aa02f54e74
Revises: 357cc9fc466b
Create Date: 2014-01-23 08:21:22.953015
"""
# revision identifiers, used by Alembic.
from sqlalchemy.sql import table, column
from sqlalchemy import String
revision = '56aa02f54e74'
down_revision = '357cc9fc466b'
from alembic import op
def upgrade():
brreg_activity_codes_table = table('brreg_activity_codes',
column('code', String),
column('description')
)
op.bulk_insert(
brreg_activity_codes_table,
[
{
'code': '1 100',
'description': 'Kunst og kultur'
},
{
'code': '1 200',
'description': 'Idrett'
},
{
'code': '1 300',
'description': 'Rekreasjon og sosiale foreninger'
},
{
'code': '2 100',
'description': 'Grunn- og videregående utdanning'
},
{
'code': '2 200',
'description': 'Høgskole og universitet'
},
{
'code': '2 300',
'description': 'Annen utdanning'
},
{
'code': '2 400',
'description': 'Andre helsetjenester'
},
{
'code': '3 100',
'description': 'Sykehus og rehabilitering'
},
{
'code': '3 200',
'description': 'Sykehjem'
},
{
'code': '3 300',
'description': 'Psykiatriske institusjoner'
},
{
'code': '3 400',
'description': 'Andre helsetjenester'
},
{
'code': '4 100',
'description': 'Sosiale tjenester'
},
{
'code': '4 200',
'description': 'Krisehjelp og støttearbeid'
},
{
'code': '4 300',
'description': 'Økonomisk og materiell støtte'
},
{
'code': '5 100',
'description': 'Natur- og miljøvern'
},
{
'code': '5 200',
'description': 'Dyrevern'
},
{
'code': '6 100',
'description': 'Lokalsamfunnsutvikling'
},
{
'code': '6 200',
'description': 'Bolig- og lokalmiljø'
},
{
'code': '6 300',
'description': 'Arbeidsopplæring'
},
{
'code': '7 100',
'description': 'Interesseorganisasjoner'
},
{
'code': '7 200',
'description': 'Juridisk rådgivning'
},
{
'code': '7 300',
'description': 'Politiske organisasjoner'
},
{
'code': '8 100',
'description': 'Pengeutdelende stiftelser'
},
{
'code': '8 200',
'description': 'Frivillighetssentraler'
},
{
'code': '9 100',
'description': 'Internasjonale organisasjoner'
},
{
'code': '10 100',
'description': 'Tros- og livssynsorganisasjoner'
},
{
'code': '11 100',
'description': 'Næringslivs- og arbeidsgiverorganisasjoner'
},
{
'code': '11 200',
'description': 'Yrkessammenslutninger'
},
{
'code': '11 300',
'description': 'Arbeidstakerorganisasjoner'
},
{
'code': '12 100',
'description': 'Andre'
},
{
'code': '13 100',
'description': 'Barne- og ungdomsorganisasjoner'
},
{
'code': '14 100',
'description': 'Mangfold og inkludering'
}
]
)
def downgrade():
raise NotImplementedError('This application does not support downgrades.')
| 4,131 | 0 | 46 |
d48aa0eeb406712e8546275fb2e2aae57dc24dde | 159 | py | Python | Python Fundamentals/2. Data Types and Variables/More Exercises/03. Decrypting Messages.py | a-shiro/SoftUni-Courses | 7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77 | [
"MIT"
] | null | null | null | Python Fundamentals/2. Data Types and Variables/More Exercises/03. Decrypting Messages.py | a-shiro/SoftUni-Courses | 7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77 | [
"MIT"
] | null | null | null | Python Fundamentals/2. Data Types and Variables/More Exercises/03. Decrypting Messages.py | a-shiro/SoftUni-Courses | 7d0ca6401017a28b5ff7e7fa3e5df8bba8ddbe77 | [
"MIT"
] | null | null | null | key = int(input())
lines = int(input())
decrypted = ""
for _ in range(lines):
letter = input()
decrypted += chr(ord(letter) + key)
print(decrypted) | 14.454545 | 39 | 0.616352 | key = int(input())
lines = int(input())
decrypted = ""
for _ in range(lines):
letter = input()
decrypted += chr(ord(letter) + key)
print(decrypted) | 0 | 0 | 0 |
4c6f5a8d2924c4754159ef0ebec519f1097c6303 | 1,594 | py | Python | XML/pycopia/XML/SVG.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 89 | 2015-03-26T11:25:20.000Z | 2022-01-12T06:25:14.000Z | XML/pycopia/XML/SVG.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 1 | 2015-07-05T03:27:43.000Z | 2015-07-11T06:21:20.000Z | XML/pycopia/XML/SVG.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 30 | 2015-04-30T01:35:54.000Z | 2022-01-12T06:19:49.000Z | #!/usr/bin/python2.7
# -*- coding: utf-8 -*-
# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Generate and parse SVG files.
# PUBLIC "-//W3C//DTD SVG 1.1//EN"
# SYSTEM "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"
"""
from pycopia import dtds
from pycopia.dtds import svg11_flat_20030114
from pycopia.XML import POM
MIME_SVG = "image/svg+xml"
if __name__ == "__main__":
import sys
from pycopia import autodebug
fname = sys.argv[1]
string = open(fname).read()
parser = get_parser()
parser.feed(string)
parser.close()
doc = parser.getContentHandler().doc
print doc
print repr(doc.root)
| 24.151515 | 82 | 0.71079 | #!/usr/bin/python2.7
# -*- coding: utf-8 -*-
# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Generate and parse SVG files.
# PUBLIC "-//W3C//DTD SVG 1.1//EN"
# SYSTEM "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"
"""
from pycopia import dtds
from pycopia.dtds import svg11_flat_20030114
from pycopia.XML import POM
MIME_SVG = "image/svg+xml"
class SVGMixin(object):
pass
class SVGDocument(POM.POMDocument, SVGMixin):
MIMETYPE = MIME_SVG
def new_document():
return SVGDocument(svg11_flat_20030114, dtds.SVG)
def get_parser(document=None):
from pycopia.XML import POMparse
if not document:
document = new_document()
return POMparse.get_parser(document, namespaces=0, validate=0, external_ges=1)
if __name__ == "__main__":
import sys
from pycopia import autodebug
fname = sys.argv[1]
string = open(fname).read()
parser = get_parser()
parser.feed(string)
parser.close()
doc = parser.getContentHandler().doc
print doc
print repr(doc.root)
| 236 | 59 | 92 |
fb384f229420aa34cb7f12e50bd7903777f0a193 | 381 | py | Python | day3/day3.py | partridgems/advent2018 | c5b447a4df1f0ee3e28a656ee6597f605f2d7b79 | [
"MIT"
] | null | null | null | day3/day3.py | partridgems/advent2018 | c5b447a4df1f0ee3e28a656ee6597f605f2d7b79 | [
"MIT"
] | null | null | null | day3/day3.py | partridgems/advent2018 | c5b447a4df1f0ee3e28a656ee6597f605f2d7b79 | [
"MIT"
] | null | null | null | import sys
import numpy
import re
main()
| 14.111111 | 66 | 0.551181 | import sys
import numpy
import re
def main():
fabric = numpy.zeros((1000,1000))
for claim in sys.stdin.readlines():
nums = [int(x) for x in re.split(' @ |,|: |x',claim)[1:]]
if len(nums) < 4:
continue
(b,l,t,r) = (nums[0],nums[1],nums[0]+nums[2],nums[1]+nums[3])
# print(b,t,l,r)
fabric[b:t,l:r] += 1
print(numpy.sum(fabric > 1))
main()
| 307 | 0 | 23 |
5ab6f2c817b76a5338a950b54956ecb1e442d955 | 1,917 | py | Python | keystone/cmd/doctor/ldap.py | dtroyer/keystone | ba21db422d4f58c185e1b4414e118f723c33b959 | [
"Apache-2.0"
] | null | null | null | keystone/cmd/doctor/ldap.py | dtroyer/keystone | ba21db422d4f58c185e1b4414e118f723c33b959 | [
"Apache-2.0"
] | null | null | null | keystone/cmd/doctor/ldap.py | dtroyer/keystone | ba21db422d4f58c185e1b4414e118f723c33b959 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import keystone.conf
CONF = keystone.conf.CONF
def symptom_LDAP_user_enabled_emulation_dn_ignored():
"""`[ldap] user_enabled_emulation_dn` is being ignored.
There is no reason to set this value unless `keystone.conf [ldap]
user_enabled_emulation` is also enabled.
"""
return (
not CONF.ldap.user_enabled_emulation
and CONF.ldap.user_enabled_emulation_dn is not None)
def symptom_LDAP_user_enabled_emulation_use_group_config_ignored():
"""`[ldap] user_enabled_emulation_use_group_config` is being ignored.
There is no reason to set this value unless `keystone.conf [ldap]
user_enabled_emulation` is also enabled.
"""
return (
not CONF.ldap.user_enabled_emulation
and CONF.ldap.user_enabled_emulation_use_group_config)
def symptom_LDAP_group_members_are_ids_disabled():
"""`[ldap] group_members_are_ids` is not enabled.
Because you've set `keystone.conf [ldap] group_objectclass = posixGroup`,
we would have also expected you to enable set `keystone.conf [ldap]
group_members_are_ids` because we suspect you're using Open Directory,
which would contain user ID's in a `posixGroup` rather than LDAP DNs, as
other object classes typically would.
"""
return (
CONF.ldap.group_objectclass == 'posixGroup'
and not CONF.ldap.group_members_are_ids)
| 36.169811 | 77 | 0.745436 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import keystone.conf
CONF = keystone.conf.CONF
def symptom_LDAP_user_enabled_emulation_dn_ignored():
"""`[ldap] user_enabled_emulation_dn` is being ignored.
There is no reason to set this value unless `keystone.conf [ldap]
user_enabled_emulation` is also enabled.
"""
return (
not CONF.ldap.user_enabled_emulation
and CONF.ldap.user_enabled_emulation_dn is not None)
def symptom_LDAP_user_enabled_emulation_use_group_config_ignored():
"""`[ldap] user_enabled_emulation_use_group_config` is being ignored.
There is no reason to set this value unless `keystone.conf [ldap]
user_enabled_emulation` is also enabled.
"""
return (
not CONF.ldap.user_enabled_emulation
and CONF.ldap.user_enabled_emulation_use_group_config)
def symptom_LDAP_group_members_are_ids_disabled():
"""`[ldap] group_members_are_ids` is not enabled.
Because you've set `keystone.conf [ldap] group_objectclass = posixGroup`,
we would have also expected you to enable set `keystone.conf [ldap]
group_members_are_ids` because we suspect you're using Open Directory,
which would contain user ID's in a `posixGroup` rather than LDAP DNs, as
other object classes typically would.
"""
return (
CONF.ldap.group_objectclass == 'posixGroup'
and not CONF.ldap.group_members_are_ids)
| 0 | 0 | 0 |
3f409adad054046b5315883c8e55c4733338b896 | 450 | py | Python | Arrangement/5568.py | miiiingi/algorithmstudy | 75eaf97e2c41d7edf32eb4a57d4d7685c9218aba | [
"MIT"
] | null | null | null | Arrangement/5568.py | miiiingi/algorithmstudy | 75eaf97e2c41d7edf32eb4a57d4d7685c9218aba | [
"MIT"
] | null | null | null | Arrangement/5568.py | miiiingi/algorithmstudy | 75eaf97e2c41d7edf32eb4a57d4d7685c9218aba | [
"MIT"
] | null | null | null | import itertools
list_num = list()
n = int(input())
k = int(input())
for _ in range(n) :
number = input()
list_num.append(number)
cat_num = itertools.combinations(list_num, k)
_answer = list()
for nums in cat_num :
num = itertools.permutations(nums, k)
for n in num :
str_sum = ''
for s in n :
str_sum += s
if str_sum not in _answer :
_answer.append(str_sum)
print(len(_answer))
| 21.428571 | 45 | 0.595556 | import itertools
list_num = list()
n = int(input())
k = int(input())
for _ in range(n) :
number = input()
list_num.append(number)
cat_num = itertools.combinations(list_num, k)
_answer = list()
for nums in cat_num :
num = itertools.permutations(nums, k)
for n in num :
str_sum = ''
for s in n :
str_sum += s
if str_sum not in _answer :
_answer.append(str_sum)
print(len(_answer))
| 0 | 0 | 0 |
f0b9c3a404369231c434674735d3e6ae78005ca9 | 261,031 | py | Python | instances/passenger_demand/pas-20210422-1717-int16e/29.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210422-1717-int16e/29.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null | instances/passenger_demand/pas-20210422-1717-int16e/29.py | LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure | bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11 | [
"BSD-3-Clause"
] | null | null | null |
"""
PASSENGERS
"""
numPassengers = 30558
passenger_arriving = (
(11, 2, 10, 9, 2, 7, 2, 5, 2, 1, 1, 0, 0, 9, 8, 6, 8, 2, 5, 1, 5, 4, 1, 1, 1, 0), # 0
(9, 12, 9, 9, 8, 2, 1, 4, 2, 0, 1, 2, 0, 8, 6, 8, 5, 2, 5, 7, 3, 3, 1, 0, 2, 0), # 1
(4, 3, 8, 10, 7, 5, 1, 6, 4, 4, 1, 0, 0, 15, 10, 4, 8, 4, 5, 3, 2, 5, 1, 2, 1, 0), # 2
(9, 12, 4, 11, 5, 5, 3, 4, 2, 1, 1, 1, 0, 7, 13, 9, 3, 12, 7, 3, 2, 2, 2, 1, 1, 0), # 3
(9, 13, 8, 7, 7, 1, 5, 7, 1, 1, 1, 2, 0, 7, 9, 3, 7, 8, 3, 5, 2, 3, 3, 2, 1, 0), # 4
(12, 7, 8, 8, 9, 2, 5, 6, 2, 2, 5, 0, 0, 4, 5, 9, 7, 10, 6, 1, 3, 8, 2, 4, 5, 0), # 5
(16, 14, 14, 11, 5, 5, 7, 5, 0, 1, 0, 0, 0, 10, 12, 8, 4, 8, 7, 4, 1, 2, 4, 2, 2, 0), # 6
(7, 7, 18, 10, 10, 5, 5, 3, 6, 4, 1, 1, 0, 9, 7, 14, 6, 10, 7, 5, 2, 3, 2, 4, 1, 0), # 7
(17, 16, 12, 12, 9, 1, 7, 5, 5, 3, 1, 0, 0, 15, 11, 5, 8, 12, 3, 9, 5, 4, 6, 1, 1, 0), # 8
(13, 12, 11, 10, 13, 6, 3, 2, 4, 4, 3, 1, 0, 14, 9, 6, 12, 6, 6, 2, 4, 6, 7, 2, 1, 0), # 9
(17, 15, 11, 15, 10, 2, 7, 6, 10, 2, 0, 1, 0, 18, 16, 12, 5, 6, 9, 6, 0, 6, 9, 4, 1, 0), # 10
(9, 11, 13, 13, 6, 2, 7, 6, 3, 1, 5, 0, 0, 14, 13, 8, 6, 12, 11, 4, 1, 6, 2, 2, 1, 0), # 11
(10, 18, 9, 11, 7, 4, 5, 4, 8, 4, 0, 1, 0, 12, 13, 7, 7, 18, 6, 3, 8, 4, 2, 3, 0, 0), # 12
(10, 12, 7, 9, 7, 3, 7, 7, 6, 2, 2, 2, 0, 15, 21, 10, 10, 12, 5, 6, 2, 2, 0, 2, 2, 0), # 13
(23, 17, 6, 26, 16, 3, 9, 7, 3, 2, 2, 1, 0, 17, 11, 15, 10, 9, 4, 7, 5, 2, 4, 1, 1, 0), # 14
(12, 10, 10, 20, 9, 4, 11, 6, 7, 5, 3, 2, 0, 22, 16, 14, 9, 12, 8, 3, 4, 8, 6, 1, 2, 0), # 15
(14, 14, 10, 15, 9, 3, 4, 5, 3, 1, 1, 1, 0, 14, 17, 15, 12, 11, 3, 4, 6, 3, 6, 3, 1, 0), # 16
(24, 12, 8, 9, 14, 8, 5, 6, 5, 2, 2, 1, 0, 15, 15, 7, 11, 15, 5, 12, 6, 1, 6, 3, 1, 0), # 17
(21, 18, 13, 17, 16, 6, 10, 6, 3, 4, 2, 2, 0, 12, 18, 13, 8, 8, 8, 5, 5, 3, 8, 1, 3, 0), # 18
(15, 10, 9, 13, 13, 7, 6, 11, 6, 2, 1, 0, 0, 22, 13, 9, 9, 15, 9, 6, 7, 6, 3, 0, 0, 0), # 19
(15, 12, 14, 5, 9, 6, 6, 11, 2, 1, 1, 2, 0, 19, 9, 10, 9, 13, 10, 6, 4, 6, 4, 4, 1, 0), # 20
(18, 23, 12, 17, 10, 5, 3, 8, 5, 3, 1, 1, 0, 15, 9, 10, 12, 16, 6, 7, 2, 8, 5, 2, 1, 0), # 21
(20, 17, 13, 17, 8, 9, 9, 6, 7, 3, 0, 0, 0, 16, 13, 14, 6, 13, 8, 7, 4, 7, 1, 0, 2, 0), # 22
(12, 16, 19, 14, 16, 8, 5, 9, 3, 1, 2, 1, 0, 28, 12, 8, 8, 21, 16, 2, 6, 5, 5, 4, 4, 0), # 23
(18, 18, 15, 17, 17, 7, 8, 5, 3, 3, 3, 2, 0, 24, 20, 16, 11, 16, 7, 8, 3, 5, 2, 4, 1, 0), # 24
(15, 18, 14, 16, 18, 10, 2, 3, 5, 2, 2, 1, 0, 16, 13, 10, 11, 13, 10, 8, 6, 6, 1, 2, 4, 0), # 25
(19, 19, 16, 14, 14, 10, 7, 6, 10, 1, 3, 0, 0, 11, 16, 11, 8, 20, 6, 4, 8, 3, 9, 3, 3, 0), # 26
(13, 19, 16, 14, 16, 4, 6, 6, 3, 2, 1, 2, 0, 18, 14, 12, 12, 12, 8, 12, 3, 6, 6, 3, 0, 0), # 27
(13, 17, 12, 16, 10, 3, 4, 2, 6, 3, 4, 0, 0, 11, 18, 9, 8, 14, 5, 3, 9, 3, 6, 4, 2, 0), # 28
(26, 17, 13, 17, 7, 3, 5, 3, 5, 3, 0, 1, 0, 21, 17, 7, 12, 17, 13, 6, 4, 9, 1, 4, 3, 0), # 29
(22, 21, 10, 19, 21, 4, 2, 9, 6, 3, 0, 2, 0, 18, 9, 10, 15, 10, 14, 6, 6, 5, 5, 1, 2, 0), # 30
(15, 17, 7, 20, 11, 4, 3, 11, 3, 6, 1, 1, 0, 14, 14, 8, 7, 11, 10, 8, 4, 6, 1, 1, 1, 0), # 31
(17, 14, 11, 15, 14, 5, 10, 8, 8, 5, 2, 0, 0, 19, 18, 10, 6, 8, 5, 5, 7, 2, 6, 4, 1, 0), # 32
(17, 7, 17, 15, 15, 7, 6, 6, 4, 5, 5, 4, 0, 16, 13, 14, 10, 11, 11, 3, 4, 7, 5, 2, 1, 0), # 33
(20, 12, 7, 19, 7, 3, 8, 1, 6, 3, 2, 0, 0, 18, 14, 13, 5, 8, 10, 7, 4, 3, 3, 5, 2, 0), # 34
(13, 21, 11, 9, 11, 12, 7, 3, 5, 0, 4, 1, 0, 15, 14, 7, 9, 16, 8, 7, 2, 7, 4, 3, 2, 0), # 35
(21, 14, 14, 17, 13, 5, 4, 8, 8, 2, 3, 0, 0, 16, 16, 6, 13, 11, 7, 7, 4, 6, 4, 3, 3, 0), # 36
(11, 13, 10, 12, 10, 5, 10, 4, 6, 4, 3, 1, 0, 22, 12, 17, 6, 11, 10, 4, 4, 7, 5, 1, 1, 0), # 37
(15, 16, 10, 11, 12, 9, 6, 3, 6, 0, 0, 0, 0, 19, 16, 8, 8, 12, 10, 6, 6, 7, 7, 1, 2, 0), # 38
(20, 12, 16, 15, 12, 4, 6, 8, 1, 4, 2, 3, 0, 14, 14, 10, 7, 9, 9, 5, 5, 2, 5, 2, 0, 0), # 39
(16, 9, 14, 15, 10, 13, 3, 6, 10, 3, 2, 2, 0, 11, 12, 7, 10, 11, 10, 9, 2, 6, 3, 1, 1, 0), # 40
(14, 19, 17, 11, 4, 7, 14, 7, 9, 2, 0, 2, 0, 17, 4, 10, 12, 16, 7, 10, 3, 8, 3, 2, 2, 0), # 41
(17, 12, 8, 10, 11, 7, 2, 3, 5, 1, 2, 0, 0, 19, 13, 16, 7, 19, 4, 6, 1, 3, 6, 0, 2, 0), # 42
(14, 15, 11, 14, 4, 10, 7, 1, 4, 2, 1, 4, 0, 18, 13, 11, 10, 10, 4, 3, 5, 7, 3, 1, 0, 0), # 43
(18, 17, 14, 14, 8, 4, 8, 11, 3, 3, 0, 3, 0, 14, 14, 10, 6, 12, 7, 7, 0, 6, 2, 2, 3, 0), # 44
(11, 16, 18, 13, 14, 4, 7, 7, 8, 4, 7, 1, 0, 20, 12, 11, 5, 16, 8, 10, 5, 11, 2, 2, 3, 0), # 45
(14, 23, 13, 17, 9, 5, 4, 3, 7, 2, 5, 3, 0, 19, 18, 6, 6, 20, 12, 6, 7, 4, 10, 2, 3, 0), # 46
(15, 17, 11, 12, 14, 4, 10, 12, 6, 3, 1, 3, 0, 17, 13, 14, 15, 12, 9, 4, 4, 8, 3, 3, 4, 0), # 47
(25, 18, 12, 9, 11, 6, 10, 10, 4, 3, 3, 1, 0, 12, 12, 5, 9, 11, 12, 10, 5, 7, 3, 0, 0, 0), # 48
(20, 16, 16, 20, 9, 8, 2, 3, 10, 1, 2, 2, 0, 14, 10, 14, 16, 7, 5, 4, 2, 5, 4, 3, 2, 0), # 49
(18, 15, 18, 11, 7, 5, 15, 5, 6, 5, 0, 0, 0, 18, 23, 12, 9, 11, 9, 9, 2, 6, 5, 2, 3, 0), # 50
(16, 15, 17, 19, 12, 3, 12, 3, 6, 1, 0, 0, 0, 19, 8, 12, 8, 6, 10, 9, 4, 6, 6, 2, 1, 0), # 51
(16, 13, 16, 15, 18, 3, 7, 6, 5, 3, 3, 0, 0, 22, 12, 14, 8, 12, 7, 6, 2, 4, 4, 5, 0, 0), # 52
(21, 13, 11, 8, 13, 4, 3, 5, 7, 3, 3, 1, 0, 15, 14, 10, 11, 15, 12, 4, 2, 3, 3, 2, 1, 0), # 53
(12, 19, 19, 14, 12, 7, 5, 10, 6, 2, 3, 1, 0, 10, 9, 10, 6, 14, 11, 3, 3, 6, 8, 5, 0, 0), # 54
(11, 17, 20, 11, 6, 11, 6, 6, 2, 3, 2, 2, 0, 22, 14, 11, 7, 14, 7, 1, 8, 7, 5, 4, 1, 0), # 55
(13, 12, 10, 16, 13, 5, 8, 2, 5, 4, 2, 2, 0, 21, 17, 11, 8, 9, 7, 8, 8, 9, 5, 3, 3, 0), # 56
(14, 13, 7, 10, 14, 7, 9, 4, 6, 1, 1, 3, 0, 12, 13, 10, 6, 9, 4, 9, 1, 8, 4, 1, 0, 0), # 57
(13, 21, 10, 17, 12, 3, 6, 6, 5, 3, 2, 2, 0, 14, 7, 7, 12, 14, 8, 7, 3, 9, 7, 4, 4, 0), # 58
(12, 10, 9, 14, 21, 6, 12, 4, 7, 8, 2, 1, 0, 16, 15, 6, 9, 14, 9, 4, 2, 4, 5, 1, 0, 0), # 59
(11, 18, 20, 14, 9, 2, 7, 4, 7, 0, 2, 4, 0, 14, 12, 13, 5, 14, 9, 9, 4, 6, 7, 1, 0, 0), # 60
(20, 13, 10, 15, 9, 8, 6, 5, 6, 3, 2, 1, 0, 13, 11, 9, 4, 12, 4, 7, 13, 9, 2, 1, 1, 0), # 61
(16, 15, 12, 15, 15, 7, 10, 10, 6, 3, 1, 0, 0, 16, 17, 13, 8, 19, 9, 4, 3, 7, 6, 3, 1, 0), # 62
(21, 5, 14, 19, 12, 9, 5, 4, 10, 4, 2, 1, 0, 11, 14, 16, 10, 12, 5, 5, 2, 4, 6, 2, 2, 0), # 63
(14, 12, 14, 16, 7, 5, 0, 2, 5, 1, 2, 1, 0, 9, 14, 21, 11, 8, 12, 5, 5, 4, 3, 1, 1, 0), # 64
(18, 17, 11, 11, 9, 5, 4, 2, 11, 0, 1, 2, 0, 19, 16, 10, 11, 12, 5, 10, 5, 3, 4, 4, 2, 0), # 65
(26, 13, 8, 21, 14, 3, 7, 6, 4, 1, 1, 1, 0, 16, 10, 13, 8, 16, 4, 11, 4, 5, 6, 2, 0, 0), # 66
(18, 11, 20, 23, 8, 12, 9, 2, 3, 5, 4, 3, 0, 18, 13, 6, 10, 12, 9, 7, 2, 6, 7, 8, 1, 0), # 67
(17, 13, 16, 15, 12, 9, 3, 5, 4, 4, 1, 0, 0, 14, 16, 8, 7, 14, 7, 4, 3, 11, 9, 5, 3, 0), # 68
(16, 11, 14, 19, 9, 2, 7, 1, 11, 6, 4, 2, 0, 14, 12, 18, 7, 18, 2, 7, 2, 6, 3, 1, 0, 0), # 69
(13, 8, 22, 13, 10, 4, 2, 3, 6, 4, 1, 1, 0, 12, 13, 13, 7, 14, 8, 7, 2, 2, 3, 4, 2, 0), # 70
(15, 15, 11, 19, 10, 9, 5, 9, 7, 4, 2, 3, 0, 20, 10, 5, 8, 13, 3, 3, 6, 10, 8, 3, 3, 0), # 71
(17, 10, 9, 9, 14, 9, 6, 5, 4, 2, 1, 2, 0, 17, 14, 7, 8, 8, 4, 4, 7, 10, 2, 3, 1, 0), # 72
(9, 14, 9, 11, 17, 4, 5, 5, 3, 3, 0, 1, 0, 16, 8, 15, 11, 14, 12, 8, 3, 8, 2, 3, 3, 0), # 73
(10, 14, 20, 15, 14, 4, 0, 5, 7, 2, 3, 1, 0, 22, 12, 7, 9, 14, 9, 8, 1, 13, 0, 2, 2, 0), # 74
(14, 13, 19, 16, 9, 3, 3, 7, 4, 1, 6, 4, 0, 18, 14, 6, 8, 15, 3, 6, 6, 6, 5, 2, 0, 0), # 75
(23, 19, 17, 16, 9, 9, 6, 5, 3, 1, 3, 0, 0, 16, 15, 11, 9, 15, 12, 7, 5, 1, 1, 7, 3, 0), # 76
(11, 15, 6, 13, 13, 6, 6, 3, 4, 3, 2, 1, 0, 13, 11, 5, 10, 11, 8, 5, 5, 8, 3, 3, 1, 0), # 77
(14, 12, 12, 22, 10, 6, 9, 7, 5, 2, 1, 0, 0, 17, 21, 14, 10, 11, 8, 9, 8, 6, 6, 4, 3, 0), # 78
(22, 19, 17, 14, 10, 2, 5, 6, 6, 1, 2, 4, 0, 19, 8, 16, 7, 8, 8, 5, 3, 5, 4, 2, 0, 0), # 79
(16, 10, 10, 9, 10, 5, 5, 4, 6, 1, 2, 0, 0, 23, 12, 9, 11, 19, 6, 2, 3, 5, 2, 5, 1, 0), # 80
(24, 12, 12, 12, 10, 6, 10, 4, 6, 5, 6, 1, 0, 17, 15, 6, 11, 15, 10, 6, 4, 6, 5, 2, 2, 0), # 81
(16, 17, 12, 15, 10, 2, 4, 4, 3, 4, 1, 1, 0, 21, 17, 8, 10, 13, 5, 4, 4, 5, 3, 2, 2, 0), # 82
(17, 8, 15, 15, 12, 7, 9, 5, 10, 2, 4, 0, 0, 15, 17, 9, 7, 17, 4, 6, 5, 3, 5, 2, 2, 0), # 83
(11, 16, 10, 12, 9, 5, 8, 5, 5, 3, 4, 0, 0, 18, 14, 13, 6, 12, 4, 6, 6, 6, 4, 0, 1, 0), # 84
(14, 18, 11, 11, 10, 9, 6, 7, 4, 3, 0, 0, 0, 13, 17, 16, 8, 15, 9, 3, 4, 7, 5, 2, 1, 0), # 85
(13, 14, 14, 11, 12, 5, 4, 5, 4, 1, 2, 1, 0, 21, 13, 8, 9, 7, 3, 4, 5, 6, 2, 2, 2, 0), # 86
(20, 10, 15, 18, 8, 4, 7, 6, 8, 0, 4, 2, 0, 19, 19, 10, 8, 6, 8, 8, 6, 5, 4, 3, 1, 0), # 87
(19, 17, 14, 16, 8, 7, 5, 9, 2, 1, 1, 3, 0, 13, 9, 13, 7, 12, 10, 4, 5, 9, 8, 2, 1, 0), # 88
(24, 10, 17, 11, 6, 7, 6, 5, 7, 3, 2, 1, 0, 12, 10, 8, 8, 10, 5, 4, 5, 7, 3, 4, 1, 0), # 89
(11, 15, 12, 12, 10, 6, 2, 5, 4, 5, 3, 1, 0, 13, 9, 16, 6, 21, 3, 4, 1, 2, 6, 2, 0, 0), # 90
(15, 7, 20, 20, 7, 4, 4, 3, 5, 4, 2, 2, 0, 21, 17, 9, 7, 10, 7, 7, 6, 3, 4, 3, 0, 0), # 91
(17, 13, 11, 12, 19, 5, 5, 5, 10, 4, 1, 0, 0, 13, 20, 8, 7, 24, 6, 7, 3, 6, 1, 4, 0, 0), # 92
(19, 18, 14, 13, 13, 5, 5, 4, 8, 1, 1, 2, 0, 12, 15, 9, 4, 19, 5, 2, 2, 6, 4, 3, 4, 0), # 93
(17, 9, 16, 12, 17, 8, 6, 3, 7, 4, 2, 1, 0, 15, 14, 8, 7, 13, 5, 5, 7, 9, 7, 1, 0, 0), # 94
(11, 9, 19, 16, 11, 7, 4, 11, 8, 1, 5, 1, 0, 12, 13, 9, 6, 7, 9, 5, 1, 4, 6, 5, 0, 0), # 95
(16, 6, 12, 17, 12, 7, 3, 8, 4, 2, 0, 1, 0, 21, 17, 9, 7, 14, 3, 7, 3, 4, 3, 0, 0, 0), # 96
(24, 9, 13, 10, 9, 8, 3, 4, 4, 4, 2, 1, 0, 17, 16, 12, 4, 11, 2, 5, 4, 5, 9, 4, 0, 0), # 97
(10, 12, 12, 13, 14, 5, 9, 5, 7, 3, 0, 1, 0, 16, 5, 9, 7, 12, 6, 5, 2, 6, 4, 2, 0, 0), # 98
(7, 11, 18, 10, 8, 9, 6, 5, 5, 3, 2, 1, 0, 15, 12, 12, 9, 16, 4, 12, 1, 4, 5, 2, 0, 0), # 99
(8, 18, 18, 19, 11, 5, 11, 8, 4, 1, 3, 3, 0, 25, 20, 14, 6, 14, 3, 4, 6, 9, 4, 3, 1, 0), # 100
(15, 11, 12, 16, 6, 3, 3, 6, 3, 1, 2, 4, 0, 19, 14, 12, 14, 10, 7, 4, 7, 5, 3, 3, 0, 0), # 101
(26, 9, 10, 9, 13, 12, 3, 5, 6, 4, 2, 1, 0, 27, 13, 8, 9, 12, 5, 7, 4, 6, 2, 1, 3, 0), # 102
(18, 18, 15, 9, 8, 6, 7, 2, 6, 2, 2, 1, 0, 14, 10, 11, 7, 13, 14, 6, 3, 9, 5, 9, 2, 0), # 103
(18, 13, 10, 22, 7, 3, 4, 5, 9, 3, 1, 1, 0, 18, 11, 16, 2, 8, 5, 7, 1, 8, 6, 4, 2, 0), # 104
(16, 14, 11, 15, 10, 5, 1, 5, 3, 0, 0, 1, 0, 16, 16, 6, 8, 11, 9, 6, 7, 5, 3, 3, 0, 0), # 105
(11, 14, 13, 17, 10, 5, 3, 5, 9, 3, 2, 0, 0, 24, 15, 6, 11, 10, 4, 7, 1, 3, 3, 7, 0, 0), # 106
(19, 12, 13, 10, 11, 3, 3, 5, 4, 2, 0, 1, 0, 17, 12, 1, 5, 17, 7, 5, 3, 8, 5, 0, 0, 0), # 107
(9, 9, 16, 17, 7, 6, 2, 0, 4, 2, 3, 1, 0, 14, 7, 13, 8, 15, 6, 7, 0, 7, 4, 5, 2, 0), # 108
(20, 6, 9, 16, 4, 7, 4, 7, 6, 1, 2, 0, 0, 21, 16, 6, 8, 17, 4, 5, 1, 1, 2, 1, 8, 0), # 109
(18, 9, 10, 14, 16, 9, 3, 6, 9, 1, 1, 2, 0, 16, 11, 7, 4, 8, 6, 7, 4, 11, 7, 2, 1, 0), # 110
(16, 10, 12, 10, 10, 5, 2, 3, 10, 3, 0, 1, 0, 14, 9, 12, 6, 12, 7, 5, 6, 5, 4, 2, 2, 0), # 111
(17, 18, 13, 12, 7, 4, 6, 6, 4, 2, 4, 0, 0, 23, 13, 12, 5, 12, 7, 0, 6, 7, 2, 5, 0, 0), # 112
(10, 11, 10, 15, 11, 4, 4, 3, 10, 1, 1, 0, 0, 16, 14, 8, 7, 10, 7, 1, 5, 8, 5, 2, 4, 0), # 113
(14, 14, 15, 13, 11, 9, 4, 2, 3, 1, 4, 2, 0, 15, 16, 7, 10, 10, 2, 5, 9, 5, 6, 1, 0, 0), # 114
(18, 13, 13, 8, 19, 3, 1, 3, 4, 3, 4, 1, 0, 12, 10, 6, 10, 6, 3, 2, 5, 5, 4, 3, 0, 0), # 115
(15, 16, 9, 12, 11, 4, 3, 2, 4, 4, 0, 1, 0, 13, 14, 5, 8, 12, 7, 3, 4, 8, 2, 5, 3, 0), # 116
(15, 14, 11, 15, 11, 2, 3, 1, 5, 2, 3, 1, 0, 8, 7, 9, 8, 13, 5, 4, 4, 12, 4, 0, 0, 0), # 117
(13, 11, 12, 14, 17, 3, 4, 2, 5, 4, 0, 1, 0, 10, 13, 10, 7, 14, 7, 2, 5, 6, 6, 4, 2, 0), # 118
(14, 5, 9, 13, 8, 4, 3, 2, 3, 3, 1, 2, 0, 19, 15, 7, 7, 17, 3, 4, 4, 7, 5, 3, 2, 0), # 119
(17, 13, 9, 17, 12, 2, 5, 2, 7, 3, 2, 3, 0, 10, 18, 8, 9, 9, 7, 5, 4, 7, 10, 0, 2, 0), # 120
(13, 11, 11, 13, 12, 2, 3, 1, 6, 5, 0, 0, 0, 13, 12, 4, 13, 6, 11, 2, 3, 5, 3, 2, 0, 0), # 121
(15, 12, 14, 11, 12, 4, 4, 10, 4, 1, 7, 0, 0, 20, 12, 10, 5, 12, 1, 4, 7, 8, 2, 3, 1, 0), # 122
(21, 14, 13, 11, 10, 6, 6, 4, 10, 1, 1, 4, 0, 11, 12, 13, 3, 14, 9, 2, 3, 6, 7, 4, 3, 0), # 123
(10, 9, 13, 8, 14, 3, 7, 13, 4, 0, 0, 1, 0, 12, 13, 16, 7, 18, 3, 7, 2, 7, 3, 0, 0, 0), # 124
(10, 10, 9, 12, 13, 1, 6, 4, 6, 3, 4, 0, 0, 15, 14, 13, 8, 12, 8, 1, 3, 9, 8, 3, 0, 0), # 125
(14, 13, 15, 10, 6, 4, 3, 2, 7, 2, 2, 0, 0, 18, 10, 10, 4, 18, 6, 3, 3, 6, 4, 1, 0, 0), # 126
(16, 10, 16, 8, 11, 4, 1, 10, 5, 6, 2, 2, 0, 14, 12, 10, 16, 8, 4, 7, 5, 10, 7, 2, 0, 0), # 127
(3, 11, 13, 15, 7, 8, 2, 3, 3, 4, 0, 0, 0, 19, 16, 6, 6, 14, 5, 5, 3, 9, 7, 1, 2, 0), # 128
(8, 12, 12, 11, 7, 5, 3, 4, 2, 2, 2, 0, 0, 21, 6, 5, 5, 18, 7, 2, 3, 3, 3, 3, 1, 0), # 129
(17, 8, 14, 10, 5, 3, 6, 5, 5, 3, 2, 2, 0, 10, 16, 8, 5, 17, 4, 5, 2, 7, 0, 1, 2, 0), # 130
(15, 3, 16, 15, 17, 3, 4, 1, 2, 1, 0, 3, 0, 12, 6, 2, 2, 10, 3, 7, 6, 6, 3, 3, 0, 0), # 131
(9, 11, 10, 12, 10, 1, 6, 3, 9, 4, 1, 1, 0, 13, 16, 9, 7, 10, 3, 5, 5, 4, 8, 1, 1, 0), # 132
(12, 13, 10, 21, 5, 6, 4, 7, 6, 3, 2, 2, 0, 13, 12, 6, 11, 11, 12, 5, 8, 1, 3, 1, 1, 0), # 133
(14, 10, 13, 16, 8, 9, 2, 3, 6, 3, 1, 1, 0, 18, 9, 10, 4, 17, 5, 1, 8, 6, 7, 4, 1, 0), # 134
(9, 5, 12, 7, 10, 3, 5, 5, 2, 4, 1, 0, 0, 12, 6, 10, 8, 13, 7, 3, 2, 5, 5, 1, 1, 0), # 135
(15, 7, 11, 11, 14, 5, 5, 3, 3, 3, 1, 1, 0, 8, 10, 6, 6, 13, 7, 7, 4, 4, 3, 4, 1, 0), # 136
(8, 12, 12, 9, 15, 5, 4, 3, 1, 4, 1, 5, 0, 18, 19, 11, 9, 12, 2, 5, 4, 5, 5, 2, 1, 0), # 137
(14, 6, 13, 13, 11, 3, 3, 2, 4, 3, 0, 3, 0, 16, 13, 5, 4, 10, 6, 3, 5, 3, 3, 5, 1, 0), # 138
(16, 10, 16, 9, 5, 7, 2, 4, 11, 0, 3, 2, 0, 13, 16, 8, 6, 4, 4, 4, 6, 7, 5, 4, 0, 0), # 139
(17, 8, 11, 15, 9, 8, 7, 3, 8, 4, 2, 0, 0, 14, 13, 10, 7, 13, 1, 7, 2, 3, 4, 5, 1, 0), # 140
(12, 13, 6, 18, 9, 9, 3, 5, 6, 2, 1, 2, 0, 16, 11, 7, 10, 11, 7, 6, 1, 6, 4, 1, 2, 0), # 141
(17, 8, 23, 6, 10, 3, 0, 5, 3, 3, 3, 0, 0, 17, 8, 12, 7, 8, 5, 7, 5, 2, 2, 3, 1, 0), # 142
(10, 7, 11, 12, 9, 4, 8, 5, 5, 0, 2, 0, 0, 11, 9, 5, 5, 11, 3, 8, 6, 6, 4, 2, 0, 0), # 143
(9, 15, 12, 15, 7, 6, 6, 5, 2, 2, 2, 1, 0, 14, 7, 6, 8, 14, 5, 3, 5, 11, 5, 1, 2, 0), # 144
(16, 7, 6, 11, 12, 5, 5, 8, 3, 3, 1, 1, 0, 13, 14, 6, 7, 18, 6, 3, 4, 5, 3, 2, 1, 0), # 145
(14, 15, 20, 9, 17, 2, 3, 6, 4, 1, 0, 0, 0, 15, 10, 8, 5, 7, 3, 5, 5, 3, 6, 0, 2, 0), # 146
(16, 9, 8, 11, 20, 8, 2, 4, 6, 2, 3, 0, 0, 11, 10, 8, 2, 11, 7, 2, 3, 1, 1, 2, 1, 0), # 147
(9, 9, 9, 11, 11, 6, 2, 6, 4, 2, 0, 0, 0, 15, 12, 6, 2, 10, 3, 1, 2, 5, 5, 2, 0, 0), # 148
(17, 5, 10, 11, 6, 4, 6, 5, 6, 3, 1, 2, 0, 10, 13, 9, 6, 13, 5, 6, 5, 4, 1, 3, 1, 0), # 149
(16, 8, 16, 11, 12, 5, 3, 5, 4, 3, 3, 1, 0, 17, 4, 9, 11, 8, 7, 4, 3, 4, 3, 1, 0, 0), # 150
(7, 12, 8, 16, 5, 3, 5, 4, 7, 2, 5, 1, 0, 19, 13, 7, 4, 6, 4, 3, 4, 3, 6, 2, 0, 0), # 151
(11, 2, 17, 6, 9, 5, 2, 5, 3, 1, 1, 0, 0, 12, 12, 5, 5, 8, 2, 0, 2, 8, 2, 1, 1, 0), # 152
(6, 9, 9, 9, 12, 8, 11, 4, 3, 4, 0, 2, 0, 11, 10, 6, 8, 14, 9, 2, 5, 5, 4, 2, 1, 0), # 153
(9, 7, 11, 13, 5, 3, 3, 3, 4, 3, 2, 0, 0, 8, 7, 9, 9, 13, 7, 5, 6, 6, 6, 4, 1, 0), # 154
(13, 8, 13, 16, 9, 0, 4, 8, 4, 0, 2, 0, 0, 14, 7, 5, 4, 14, 2, 3, 5, 2, 4, 1, 2, 0), # 155
(15, 7, 11, 6, 7, 7, 5, 3, 6, 1, 2, 0, 0, 15, 5, 6, 5, 8, 0, 2, 0, 6, 1, 2, 0, 0), # 156
(17, 9, 15, 10, 14, 4, 2, 3, 4, 0, 0, 1, 0, 8, 12, 8, 5, 11, 5, 4, 0, 4, 2, 2, 2, 0), # 157
(17, 9, 8, 15, 11, 7, 3, 3, 9, 1, 0, 0, 0, 13, 14, 5, 4, 10, 4, 5, 5, 7, 3, 3, 0, 0), # 158
(11, 7, 19, 8, 7, 3, 1, 3, 3, 1, 2, 1, 0, 15, 12, 6, 9, 8, 3, 3, 3, 5, 3, 4, 2, 0), # 159
(17, 5, 11, 16, 6, 4, 5, 5, 4, 2, 0, 0, 0, 13, 12, 8, 6, 13, 4, 4, 2, 4, 3, 2, 2, 0), # 160
(16, 5, 7, 10, 8, 5, 5, 3, 6, 4, 2, 0, 0, 10, 2, 9, 2, 14, 3, 3, 2, 5, 3, 1, 0, 0), # 161
(12, 11, 9, 11, 11, 8, 1, 3, 7, 5, 1, 0, 0, 11, 6, 5, 10, 6, 5, 3, 3, 8, 5, 1, 0, 0), # 162
(14, 8, 14, 13, 8, 6, 4, 8, 3, 4, 1, 1, 0, 8, 11, 12, 4, 11, 5, 9, 1, 6, 4, 2, 3, 0), # 163
(10, 7, 8, 7, 13, 10, 3, 2, 5, 1, 1, 0, 0, 16, 10, 7, 4, 9, 3, 3, 3, 5, 2, 1, 0, 0), # 164
(11, 2, 7, 8, 3, 4, 4, 2, 1, 5, 1, 2, 0, 12, 12, 7, 2, 6, 5, 10, 6, 6, 5, 2, 0, 0), # 165
(10, 11, 9, 9, 7, 3, 5, 3, 6, 1, 0, 2, 0, 11, 11, 6, 3, 5, 5, 5, 2, 4, 3, 1, 0, 0), # 166
(10, 9, 9, 10, 10, 4, 0, 3, 2, 1, 3, 1, 0, 12, 10, 5, 7, 12, 2, 4, 6, 2, 5, 0, 2, 0), # 167
(11, 6, 11, 14, 6, 1, 6, 1, 6, 1, 1, 2, 0, 12, 7, 5, 2, 14, 3, 2, 2, 2, 7, 0, 0, 0), # 168
(5, 6, 4, 11, 12, 3, 2, 5, 4, 1, 2, 1, 0, 6, 9, 8, 5, 10, 5, 1, 2, 3, 3, 2, 0, 0), # 169
(8, 4, 6, 5, 10, 10, 2, 2, 4, 2, 1, 1, 0, 15, 10, 12, 3, 8, 4, 1, 5, 6, 3, 0, 0, 0), # 170
(8, 1, 8, 7, 3, 4, 8, 3, 4, 1, 1, 2, 0, 8, 9, 7, 1, 14, 2, 4, 0, 4, 0, 0, 1, 0), # 171
(4, 4, 4, 12, 7, 4, 7, 1, 5, 2, 0, 1, 0, 12, 6, 8, 4, 7, 4, 5, 0, 2, 2, 1, 0, 0), # 172
(14, 5, 6, 6, 6, 1, 4, 3, 4, 1, 2, 1, 0, 8, 7, 4, 5, 7, 4, 4, 2, 3, 4, 2, 1, 0), # 173
(12, 5, 9, 8, 8, 7, 3, 2, 4, 0, 1, 1, 0, 8, 10, 4, 3, 9, 2, 2, 0, 3, 3, 0, 0, 0), # 174
(8, 5, 9, 8, 6, 4, 2, 3, 2, 3, 0, 0, 0, 9, 6, 3, 4, 13, 2, 0, 1, 6, 2, 2, 0, 0), # 175
(9, 2, 7, 9, 7, 3, 2, 0, 2, 3, 0, 1, 0, 4, 6, 4, 4, 3, 4, 3, 1, 3, 3, 1, 0, 0), # 176
(3, 2, 8, 7, 8, 1, 4, 4, 2, 3, 2, 0, 0, 9, 5, 2, 3, 8, 3, 1, 1, 0, 2, 1, 0, 0), # 177
(7, 4, 6, 10, 7, 4, 1, 2, 3, 0, 0, 0, 0, 8, 3, 6, 3, 6, 0, 0, 0, 0, 4, 4, 0, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(8.033384925394829, 8.840461695509067, 8.33805316738001, 9.943468438181492, 8.887496972175379, 5.021847891259743, 6.6336569845982645, 7.445081876767077, 9.744158499468812, 6.332824024835792, 6.728424262216965, 7.836664125289878, 8.134208340125381), # 0
(8.566923443231959, 9.424097110631614, 8.888554546128244, 10.600230805242587, 9.475984539958779, 5.353573734468089, 7.07115030602191, 7.9352219566491335, 10.387592522132655, 6.75036910764344, 7.172953817529811, 8.353946657302968, 8.671666635903767), # 1
(9.09875681436757, 10.005416273425567, 9.436867656875862, 11.254380327463672, 10.062340757999591, 5.683976183219912, 7.506909612737127, 8.423400396647072, 11.028458891004078, 7.166262040032874, 7.615717038042101, 8.869172243284888, 9.206983725135505), # 2
(9.6268124690345, 10.582112803098315, 9.980817390911767, 11.903322252051318, 10.644258681603043, 6.011744996136181, 7.939205826636729, 8.907681851991212, 11.664216257473749, 7.578852317481889, 8.054957458923813, 9.380297095888738, 9.738036490006762), # 3
(10.149017837465571, 11.15188031885724, 10.518228639524859, 12.544461826212112, 11.219431366074389, 6.335569931837869, 8.366309869613534, 9.386130977911865, 12.292323272932332, 7.986489435468286, 8.48891861534492, 9.885277427767623, 10.262701812703709), # 4
(10.663300349893618, 11.712412439909741, 11.04692629400403, 13.17520429715263, 11.785551866718848, 6.654140748945943, 8.786492663560358, 9.856812429639348, 12.910238588770495, 8.387522889469862, 8.915844042475412, 10.382069451574637, 10.778856575412524), # 5
(11.167587436551466, 12.261402785463202, 11.564735245638186, 13.792954912079445, 12.34031323884167, 6.9661472060813825, 9.19802513037002, 10.317790862403982, 13.515420856378904, 8.780302174964413, 9.333977275485251, 10.868629379962893, 11.284377660319372), # 6
(11.65980652767195, 12.79654497472501, 12.069480385716217, 14.39511891819914, 12.881408537748086, 7.270279061865153, 9.599178191935335, 10.767130931436084, 14.105328727148231, 9.16317678742974, 9.74156184954443, 11.342913425585486, 11.777141949610431), # 7
(12.137885053487896, 13.31553262690256, 12.558986605527034, 14.979101562718284, 13.406530818743338, 7.565226074918224, 9.988222770149116, 11.20289729196596, 14.67742085246913, 9.53449622234364, 10.136841299822914, 11.802877801095525, 12.255026325471867), # 8
(12.599750444232136, 13.816059361203237, 13.031078796359527, 15.54230809284347, 13.913373137132655, 7.849678003861574, 10.363429786904192, 11.623154599223941, 15.229155883732279, 9.892609975183907, 10.518059161490685, 12.246478719146102, 12.71590767008986), # 9
(13.043330130137491, 14.295818796834425, 13.483581849502599, 16.08214375578126, 14.399628548221282, 8.122324607316171, 10.723070164093368, 12.025967508440338, 15.757992472328343, 10.235867541428343, 10.883458969717719, 12.671672392390324, 13.157662865650577), # 10
(13.466551541436809, 14.752504553003531, 13.914320656245145, 16.596013798738237, 14.862990107314454, 8.38185564390299, 11.065414823609466, 12.409400674845465, 16.26138926964799, 10.56261841655475, 11.231284259673998, 13.076415033481297, 13.57816879434018), # 11
(13.8673421083629, 15.183810248917917, 14.321120107876064, 17.08132346892098, 15.301150869717404, 8.626960872242991, 11.388734687345298, 12.771518753669634, 16.736804927081888, 10.871212096040916, 11.559778566529495, 13.45866285507211, 13.975302338344855), # 12
(14.243629261148602, 15.587429503784993, 14.701805095684259, 17.53547801353607, 15.711803890735363, 8.856330050957158, 11.69130067719369, 13.11038640014317, 17.181698096020693, 11.159998075364648, 11.86718542545419, 13.816372069815873, 14.346940379850777), # 13
(14.593340430026746, 15.961055936812143, 15.054200510958635, 17.95588267979007, 16.092642225673583, 9.068652938666455, 11.971383715047459, 13.424068269496395, 17.593527427855076, 11.427325850003735, 12.151748371618055, 14.147498890365696, 14.690959801044102), # 14
(14.914403045230168, 16.30238316720675, 15.376131244988068, 18.339942714889578, 16.441358929837293, 9.26261929399186, 12.227254722799401, 13.71062901695961, 17.96975157397571, 11.671544915435986, 12.411710940191071, 14.449999529374674, 15.00523748411101), # 15
(15.204744536991681, 16.609104814176213, 15.66542218906148, 18.685063366041145, 16.755647058531732, 9.436918875554335, 12.457184622342362, 13.968133297763139, 18.307829185773258, 11.891004767139194, 12.64531666634322, 14.721830199495905, 15.287650311237673), # 16
(15.46229233554412, 16.878914496927916, 15.919898234467764, 18.98864988045138, 17.033199667062142, 9.590241441974857, 12.659444335569138, 14.19464576713731, 18.605218914638375, 12.084054900591148, 12.850809085244478, 14.960947113382488, 15.536075164610265), # 17
(15.684973871120327, 17.10950583466924, 16.137384272495808, 19.248107505326846, 17.271709810733743, 9.721276751874406, 12.832304784372562, 14.388231080312417, 18.859379411961754, 12.249044811269659, 13.026431732064815, 15.165306483687544, 15.748388926414954), # 18
(15.870716573953118, 17.29857244660759, 16.315705194434525, 19.460841487874106, 17.468870544851786, 9.828714563873934, 12.974036890645431, 14.546953892518793, 19.067769329134048, 12.384323994652526, 13.170428141974206, 15.332864523064154, 15.922468478837914), # 19
(16.01744787427533, 17.44380795195034, 16.452685891572806, 19.624257075299766, 17.62237492472151, 9.91124463659443, 13.08291157628058, 14.668878858986748, 19.22784731754592, 12.488241946217535, 13.28104185014264, 15.461577444165426, 16.05619070406532), # 20
(16.123095202319785, 17.542905969904893, 16.54615125519955, 19.73575951481038, 17.729916005648143, 9.967556728656858, 13.157199763170816, 14.752070634946598, 19.337072028588036, 12.559148161442488, 13.356516391740096, 15.54940145964447, 16.147432484283325), # 21
(16.18558598831933, 17.59356011967863, 16.593926176603656, 19.79275405361254, 17.78918684293692, 9.996340598682188, 13.19517237320896, 14.794593875628664, 19.392902113651065, 12.595392135805188, 13.395095301936545, 15.594292782154383, 16.194070701678125), # 22
(16.208629381348224, 17.599557750342935, 16.599877091906723, 19.799889300411525, 17.804371289652156, 10.0, 13.199686403614942, 14.79919012345679, 19.399881975308645, 12.599667636031093, 13.399932859458785, 15.599836122542294, 16.2), # 23
(16.225619860854646, 17.59605925925926, 16.598903703703705, 19.799011111111113, 17.812972181783763, 10.0, 13.197206100217867, 14.7928, 19.398946666666667, 12.59704098765432, 13.39939932659933, 15.598538271604937, 16.2), # 24
(16.242251568338528, 17.589163237311386, 16.59698216735254, 19.797273662551444, 17.821383912951205, 10.0, 13.192318244170096, 14.78024691358025, 19.3970987654321, 12.591870141746686, 13.39834143908218, 15.595976223136716, 16.2), # 25
(16.258523230476854, 17.578975034293556, 16.594138820301787, 19.79469670781893, 17.82960618947377, 10.0, 13.185098749293955, 14.76176790123457, 19.39436197530864, 12.58424113397348, 13.396768774161368, 15.592185093735715, 16.2), # 26
(16.27443357394662, 17.5656, 16.5904, 19.7913, 17.837638717670742, 10.0, 13.175623529411766, 14.7376, 19.39076, 12.57424, 13.39469090909091, 15.587200000000003, 16.2), # 27
(16.2899813254248, 17.549143484224967, 16.585792043895747, 19.787103292181072, 17.845481203861443, 10.0, 13.163968498345842, 14.707980246913582, 19.386316543209876, 12.561952775491541, 13.39211742112483, 15.581056058527665, 16.2), # 28
(16.3051652115884, 17.52971083676269, 16.580341289437587, 19.78212633744856, 17.853133354365152, 10.0, 13.150209569918506, 14.673145679012345, 19.381055308641976, 12.547465496113398, 13.389057887517147, 15.57378838591678, 16.2), # 29
(16.319983959114396, 17.50740740740741, 16.574074074074073, 19.77638888888889, 17.860594875501178, 10.0, 13.13442265795207, 14.633333333333333, 19.375, 12.530864197530866, 13.385521885521886, 15.56543209876543, 16.2), # 30
(16.334436294679772, 17.482338545953365, 16.567016735253773, 19.76991069958848, 17.867865473588814, 10.0, 13.116683676268863, 14.588780246913581, 19.368174320987656, 12.512234915409238, 13.381518992393067, 15.556022313671699, 16.2), # 31
(16.34852094496153, 17.45460960219479, 16.55919561042524, 19.762711522633747, 17.874944854947355, 10.0, 13.097068538691198, 14.539723456790126, 19.360601975308644, 12.49166368541381, 13.377058785384712, 15.545594147233656, 16.2), # 32
(16.362236636636634, 17.424325925925924, 16.55063703703704, 19.75481111111111, 17.8818327258961, 10.0, 13.075653159041394, 14.486400000000001, 19.352306666666667, 12.469236543209878, 13.372150841750841, 15.534182716049381, 16.2), # 33
(16.375582096382097, 17.391592866941014, 16.541367352537723, 19.746229218106997, 17.888528792754347, 10.0, 13.052513451141776, 14.429046913580246, 19.343312098765438, 12.445039524462736, 13.36680473874548, 15.521823136716964, 16.2), # 34
(16.388556050874893, 17.356515775034293, 16.53141289437586, 19.736985596707818, 17.895032761841392, 10.0, 13.027725328814654, 14.367901234567903, 19.333641975308645, 12.419158664837678, 13.361030053622645, 15.508550525834478, 16.2), # 35
(16.40115722679201, 17.3192, 16.5208, 19.7271, 17.901344339476537, 10.0, 13.001364705882352, 14.303200000000002, 19.32332, 12.391680000000001, 13.354836363636364, 15.494400000000002, 16.2), # 36
(16.41338435081044, 17.27975089163237, 16.50955500685871, 19.71659218106996, 17.907463231979076, 10.0, 12.97350749616719, 14.23518024691358, 19.31236987654321, 12.362689565615, 13.348233246040657, 15.479406675811616, 16.2), # 37
(16.425236149607162, 17.238273799725654, 16.49770425240055, 19.70548189300412, 17.913389145668305, 10.0, 12.944229613491487, 14.164079012345681, 19.300815308641976, 12.332273397347967, 13.341230278089538, 15.4636056698674, 16.2), # 38
(16.436711349859177, 17.194874074074075, 16.485274074074077, 19.69378888888889, 17.919121786863524, 10.0, 12.913606971677561, 14.090133333333334, 19.288680000000003, 12.300517530864198, 13.333837037037037, 15.447032098765431, 16.2), # 39
(16.44780867824346, 17.149657064471878, 16.472290809327845, 19.6815329218107, 17.924660861884032, 10.0, 12.88171548454773, 14.013580246913584, 19.27598765432099, 12.267508001828991, 13.326063100137175, 15.429721079103798, 16.2), # 40
(16.458526861437004, 17.102728120713305, 16.458780795610426, 19.66873374485597, 17.930006077049125, 10.0, 12.848631065924312, 13.934656790123459, 19.262761975308642, 12.233330845907636, 13.317918044643973, 15.411707727480568, 16.2), # 41
(16.4688646261168, 17.054192592592596, 16.444770370370374, 19.655411111111114, 17.935157138678093, 10.0, 12.814429629629629, 13.8536, 19.24902666666667, 12.198072098765433, 13.30941144781145, 15.393027160493828, 16.2), # 42
(16.47882069895983, 17.00415582990398, 16.430285871056242, 19.641584773662554, 17.940113753090245, 10.0, 12.779187089486001, 13.770646913580249, 19.234805432098767, 12.161817796067673, 13.300552886893627, 15.373714494741657, 16.2), # 43
(16.488393806643085, 16.9527231824417, 16.4153536351166, 19.62727448559671, 17.944875626604873, 10.0, 12.742979359315743, 13.686034567901238, 19.220121975308643, 12.124653973479653, 13.291351939144532, 15.353804846822133, 16.2), # 44
(16.497582675843546, 16.900000000000002, 16.400000000000002, 19.6125, 17.949442465541274, 10.0, 12.705882352941178, 13.600000000000001, 19.205, 12.086666666666668, 13.281818181818181, 15.333333333333332, 16.2), # 45
(16.50638603323821, 16.846091632373113, 16.384251303155008, 19.59728106995885, 17.953813976218747, 10.0, 12.667971984184621, 13.512780246913582, 19.189463209876543, 12.04794191129401, 13.271961192168598, 15.312335070873344, 16.2), # 46
(16.514802605504055, 16.79110342935528, 16.36813388203018, 19.581637448559672, 17.957989864956588, 10.0, 12.629324166868395, 13.424612345679012, 19.173535308641977, 12.008565743026978, 13.261790547449806, 15.29084517604024, 16.2), # 47
(16.522831119318074, 16.735140740740743, 16.351674074074076, 19.565588888888893, 17.961969838074097, 10.0, 12.590014814814815, 13.335733333333335, 19.15724, 11.968624197530865, 13.251315824915824, 15.268898765432098, 16.2), # 48
(16.53047030135726, 16.67830891632373, 16.334898216735255, 19.549155144032923, 17.965753601890572, 10.0, 12.550119841846204, 13.246380246913581, 19.14060098765432, 11.928203310470966, 13.240546601820677, 15.246530955647007, 16.2), # 49
(16.537718878298588, 16.620713305898494, 16.31783264746228, 19.53235596707819, 17.969340862725304, 10.0, 12.50971516178488, 13.15679012345679, 19.12364197530864, 11.887389117512575, 13.22949245541838, 15.223776863283039, 16.2), # 50
(16.544575576819057, 16.56245925925926, 16.300503703703704, 19.515211111111114, 17.9727313268976, 10.0, 12.46887668845316, 13.0672, 19.10638666666667, 11.846267654320988, 13.218162962962964, 15.200671604938274, 16.2), # 51
(16.551039123595647, 16.503652126200276, 16.282937722908095, 19.497740329218107, 17.975924700726743, 10.0, 12.427680335673365, 12.977846913580246, 19.0888587654321, 11.8049249565615, 13.206567701708444, 15.177250297210794, 16.2), # 52
(16.55710824530535, 16.444397256515778, 16.26516104252401, 19.479963374485596, 17.978920690532046, 10.0, 12.386202017267813, 12.888967901234569, 19.071081975308644, 11.763447059899406, 13.194716248908842, 15.153548056698675, 16.2), # 53
(16.562781668625146, 16.384800000000002, 16.2472, 19.4619, 17.981719002632804, 10.0, 12.344517647058824, 12.800799999999999, 19.05308, 11.72192, 13.18261818181818, 15.1296, 16.2), # 54
(16.568058120232035, 16.324965706447188, 16.229080932784637, 19.443569958847736, 17.984319343348304, 10.0, 12.302703138868717, 12.71358024691358, 19.034876543209876, 11.68042981252858, 13.170283077690485, 15.10544124371285, 16.2), # 55
(16.572936326802996, 16.264999725651577, 16.210830178326475, 19.424993004115226, 17.986721418997856, 10.0, 12.26083440651981, 12.627545679012346, 19.016495308641975, 11.639062533150437, 13.157720513779774, 15.0811069044353, 16.2), # 56
(16.577415015015013, 16.205007407407408, 16.192474074074077, 19.40618888888889, 17.988924935900748, 10.0, 12.218987363834422, 12.542933333333336, 18.997960000000003, 11.597904197530866, 13.144940067340068, 15.056632098765432, 16.2), # 57
(16.581492911545087, 16.145094101508917, 16.174038957475997, 19.387177366255145, 17.99092960037628, 10.0, 12.177237924634875, 12.459980246913581, 18.979294320987655, 11.557040841335164, 13.131951315625393, 15.032051943301326, 16.2), # 58
(16.585168743070195, 16.085365157750342, 16.155551165980796, 19.367978189300413, 17.992735118743752, 10.0, 12.135662002743485, 12.378923456790124, 18.960521975308644, 11.516558500228626, 13.11876383588976, 15.007401554641062, 16.2), # 59
(16.588441236267325, 16.02592592592593, 16.137037037037036, 19.34861111111111, 17.99434119732246, 10.0, 12.094335511982571, 12.3, 18.94166666666667, 11.476543209876544, 13.105387205387206, 14.982716049382717, 16.2), # 60
(16.591309117813463, 15.966881755829906, 16.11852290809328, 19.329095884773665, 17.995747542431697, 10.0, 12.053334366174454, 12.223446913580247, 18.922752098765432, 11.437081005944217, 13.091831001371743, 14.958030544124373, 16.2), # 61
(16.593771114385607, 15.908337997256517, 16.100035116598082, 19.30945226337449, 17.996953860390775, 10.0, 12.01273447914145, 12.149501234567902, 18.903801975308642, 11.398257924096939, 13.078104801097394, 14.933380155464107, 16.2), # 62
(16.595825952660736, 15.8504, 16.0816, 19.289700000000003, 17.99795985751897, 10.0, 11.972611764705881, 12.078400000000002, 18.88484, 11.36016, 13.064218181818184, 14.9088, 16.2), # 63
(16.597472359315837, 15.793173113854596, 16.0632438957476, 19.26985884773663, 17.998765240135597, 10.0, 11.933042136690068, 12.010380246913583, 18.86588987654321, 11.322873269318702, 13.050180720788127, 14.884325194330135, 16.2), # 64
(16.5987090610279, 15.73676268861454, 16.04499314128944, 19.249948559670784, 17.999369714559947, 10.0, 11.894101508916325, 11.945679012345678, 18.846975308641976, 11.286483767718336, 13.036001995261257, 14.859990855052581, 16.2), # 65
(16.599534784473914, 15.681274074074077, 16.026874074074076, 19.22998888888889, 17.999772987111317, 10.0, 11.855865795206972, 11.884533333333335, 18.828120000000002, 11.251077530864197, 13.021691582491583, 14.835832098765435, 16.2), # 66
(16.59994825633087, 15.626812620027435, 16.00891303155007, 19.209999588477366, 17.99997476410901, 10.0, 11.81841090938433, 11.827180246913583, 18.809347654320987, 11.216740594421584, 13.007259059733137, 14.811884042066758, 16.2), # 67
(16.59966658316932, 15.573197822912517, 15.991049519890261, 19.189826784755773, 17.999804728475752, 9.99981441853376, 11.781624311727434, 11.77335016003658, 18.790540557841794, 11.183392706635466, 12.992457581664603, 14.788048035039589, 16.19980024005487), # 68
(16.597026731078905, 15.51879283154122, 15.97278148148148, 19.168453623188405, 17.99825708061002, 9.998347325102882, 11.744429090154583, 11.720158024691358, 18.770876543209877, 11.150090225127087, 12.975780542264753, 14.76355035737492, 16.198217592592595), # 69
(16.59181726009423, 15.463347935749368, 15.954029492455417, 19.14573939881911, 17.995198902606308, 9.995458009449779, 11.706656215298192, 11.667123914037496, 18.750244627343395, 11.116671239140375, 12.957038218441728, 14.738276418068494, 16.195091735253776), # 70
(16.584111457028687, 15.406896269746449, 15.93480013717421, 19.12171760601181, 17.990668926006617, 9.991193293705228, 11.668322655262381, 11.61426538637403, 18.728675537265662, 11.083136574948224, 12.936299793254179, 14.712244699540344, 16.190463820301783), # 71
(16.573982608695655, 15.349470967741935, 15.915099999999999, 19.096421739130435, 17.98470588235294, 9.985600000000002, 11.62944537815126, 11.5616, 18.706200000000003, 11.04948705882353, 12.913634449760767, 14.685473684210528, 16.184375), # 72
(16.561504001908514, 15.291105163945307, 15.894935665294923, 19.069885292538917, 17.977348503187283, 9.978724950464867, 11.590041352068948, 11.50914531321445, 18.682848742569732, 11.01572351703919, 12.889111371020142, 14.65798185449907, 16.1768664266118), # 73
(16.546748923480646, 15.231831992566043, 15.874313717421124, 19.04214176060118, 17.96863552005164, 9.970614967230606, 11.550127545119556, 11.456918884316416, 18.658652491998172, 10.9818467758681, 12.86279974009097, 14.629787692826028, 16.167979252400553), # 74
(16.52979066022544, 15.171684587813619, 15.85324074074074, 19.01322463768116, 17.95860566448802, 9.961316872427986, 11.509720925407201, 11.404938271604939, 18.63364197530864, 10.947857661583152, 12.834768740031897, 14.600909681611435, 16.157754629629633), # 75
(16.510702498956285, 15.11069608389752, 15.831723319615913, 18.98316741814278, 17.94729766803841, 9.950877488187778, 11.468838461035993, 11.353221033379059, 18.607847919524463, 10.913757000457247, 12.805087553901586, 14.571366303275333, 16.146233710562413), # 76
(16.48955772648655, 15.048899615027217, 15.809768038408777, 18.95200359634997, 17.934750262244815, 9.939343636640757, 11.427497120110047, 11.301784727937816, 18.581301051668955, 10.87954561876328, 12.7738253647587, 14.54117604023777, 16.13345764746228), # 77
(16.46642962962963, 14.98632831541219, 15.787381481481482, 18.919766666666668, 17.92100217864924, 9.926762139917695, 11.38571387073348, 11.250646913580248, 18.55403209876543, 10.845224342774147, 12.741051355661883, 14.510357374918781, 16.119467592592596), # 78
(16.441391495198904, 14.923015319261916, 15.76457023319616, 18.88649012345679, 17.906092148793675, 9.913179820149367, 11.343505681010402, 11.199825148605397, 18.52607178783722, 10.810793998762742, 12.706834709669796, 14.478928789738408, 16.104304698216733), # 79
(16.414516610007755, 14.858993760785877, 15.74134087791495, 18.852207461084273, 17.890058904220126, 9.898643499466544, 11.30088951904493, 11.149336991312301, 18.497450845907636, 10.776255413001962, 12.671244609841102, 14.446908767116696, 16.08801011659808), # 80
(16.385878260869568, 14.79429677419355, 15.7177, 18.816952173913048, 17.872941176470587, 9.8832, 11.257882352941177, 11.099200000000002, 18.4682, 10.741609411764706, 12.63435023923445, 14.414315789473685, 16.070625), # 81
(16.355549734597723, 14.728957493694413, 15.693654183813445, 18.780757756307032, 17.854777697087066, 9.866896143880508, 11.214501150803258, 11.049431732967536, 18.43834997713763, 10.706856821323866, 12.596220780908501, 14.381168339229419, 16.052190500685874), # 82
(16.323604318005607, 14.663009053497943, 15.669210013717422, 18.743657702630166, 17.835607197611555, 9.849778753238837, 11.170762880735285, 11.000049748513947, 18.40793150434385, 10.671998467952339, 12.55692541792191, 14.34748489880394, 16.03274777091907), # 83
(16.290115297906603, 14.59648458781362, 15.644374074074074, 18.70568550724638, 17.815468409586057, 9.831894650205761, 11.126684510841374, 10.95107160493827, 18.376975308641974, 10.637035177923023, 12.516533333333333, 14.313283950617285, 16.012337962962963), # 84
(16.255155961114095, 14.529417230850923, 15.61915294924554, 18.666874664519593, 17.794400064552573, 9.813290656912057, 11.08228300922564, 10.902514860539554, 18.345512117055325, 10.60196777750881, 12.47511371020143, 14.2785839770895, 15.991002229080934), # 85
(16.21879959444146, 14.46184011681933, 15.593553223593966, 18.627258668813745, 17.772440894053094, 9.794013595488494, 11.037575343992193, 10.854397073616827, 18.313572656607228, 10.566797092982599, 12.432735731584856, 14.24340346064063, 15.968781721536352), # 86
(16.18111948470209, 14.393786379928315, 15.567581481481481, 18.586871014492754, 17.749629629629634, 9.774110288065843, 10.99257848324515, 10.806735802469136, 18.28118765432099, 10.531523950617284, 12.389468580542264, 14.207760883690709, 15.945717592592594), # 87
(16.142188918709373, 14.325289154387361, 15.541244307270233, 18.54574519592056, 17.726005002824177, 9.753627556774882, 10.947309395088626, 10.75954860539552, 18.248387837219937, 10.496149176685762, 12.345381440132318, 14.171674728659784, 15.921850994513035), # 88
(16.102081183276677, 14.256381574405948, 15.51454828532236, 18.503914707461085, 17.701605745178732, 9.732612223746381, 10.901785047626733, 10.712853040695016, 18.21520393232739, 10.460673597460932, 12.30054349341367, 14.135163477967897, 15.897223079561043), # 89
(16.06086956521739, 14.187096774193549, 15.4875, 18.461413043478263, 17.676470588235297, 9.711111111111112, 10.856022408963586, 10.666666666666666, 18.18166666666667, 10.425098039215687, 12.255023923444977, 14.098245614035088, 15.871875000000001), # 90
(16.0186273513449, 14.117467887959643, 15.460106035665294, 18.41827369833602, 17.650638263535864, 9.689171040999847, 10.810038447203299, 10.621007041609511, 18.14780676726109, 10.389423328222922, 12.208891913284896, 14.060939619281399, 15.845847908093276), # 91
(15.975427828472597, 14.047528049913716, 15.432372976680384, 18.374530166398284, 17.624147502622446, 9.666838835543363, 10.763850130449988, 10.57589172382259, 18.113654961133975, 10.353650290755535, 12.162216645992086, 14.023263976126877, 15.819182956104251), # 92
(15.931344283413848, 13.977310394265235, 15.404307407407408, 18.33021594202899, 17.597037037037037, 9.644161316872427, 10.717474426807762, 10.53133827160494, 18.079241975308644, 10.31777975308642, 12.1150673046252, 13.985237166991553, 15.791921296296294), # 93
(15.886450002982048, 13.906848055223684, 15.375915912208507, 18.285364519592058, 17.569345598321632, 9.621185307117818, 10.670928304380737, 10.487364243255604, 18.044598536808415, 10.281812541488476, 12.067513072242896, 13.946877674295479, 15.764104080932785), # 94
(15.840818273990577, 13.836174166998541, 15.347205075445817, 18.240009393451423, 17.541111918018238, 9.597957628410304, 10.62422873127303, 10.443987197073618, 18.00975537265661, 10.245749482234594, 12.019623131903835, 13.908203980458689, 15.735772462277092), # 95
(15.79452238325282, 13.765321863799286, 15.318181481481483, 18.194184057971015, 17.512374727668846, 9.574525102880658, 10.577392675588754, 10.401224691358026, 17.974743209876543, 10.209591401597677, 11.971466666666668, 13.869234567901238, 15.706967592592594), # 96
(15.747635617582157, 13.694324279835394, 15.28885171467764, 18.14792200751476, 17.483172758815464, 9.550934552659655, 10.530437105432021, 10.359094284407867, 17.939592775491544, 10.173339125850616, 11.923112859590052, 13.829987919043152, 15.677730624142663), # 97
(15.700231263791975, 13.623214549316343, 15.259222359396432, 18.101256736446594, 17.453544743000084, 9.52723279987807, 10.48337898890695, 10.317613534522177, 17.904334796524918, 10.136993481266307, 11.87463089373265, 13.790482516304477, 15.648102709190674), # 98
(15.652382608695653, 13.552025806451613, 15.229300000000002, 18.054221739130437, 17.423529411764708, 9.503466666666666, 10.43623529411765, 10.276800000000001, 17.869, 10.100555294117648, 11.826089952153112, 13.750736842105264, 15.618125000000001), # 99
(15.60416293910658, 13.480791185450682, 15.19909122085048, 18.00685050993022, 17.393165496651335, 9.479682975156226, 10.389022989168232, 10.236671239140376, 17.833619112940102, 10.064025390677534, 11.777559217910095, 13.710769378865548, 15.58783864883402), # 100
(15.555645541838135, 13.409543820523034, 15.168602606310015, 17.959176543209878, 17.36249172920197, 9.455928547477518, 10.34175904216282, 10.19724481024234, 17.798222862368544, 10.027404597218862, 11.72910787406226, 13.670598609005365, 15.557284807956103), # 101
(15.506903703703706, 13.338316845878138, 15.13784074074074, 17.911233333333335, 17.331546840958605, 9.432250205761319, 10.294460421205521, 10.15853827160494, 17.762841975308643, 9.990693740014526, 11.680805103668263, 13.63024301494477, 15.526504629629631), # 102
(15.458010711516671, 13.267143395725476, 15.1068122085048, 17.86305437466452, 17.300369563463246, 9.408694772138395, 10.247144094400449, 10.120569181527207, 17.72750717878372, 9.953893645337423, 11.632720089786758, 13.589721079103796, 15.495539266117968), # 103
(15.409039852090416, 13.196056604274526, 15.075523593964334, 17.814673161567367, 17.268998628257886, 9.385309068739522, 10.199827029851722, 10.083355098308186, 17.692249199817102, 9.91700513946045, 11.584922015476401, 13.549051283902486, 15.464429869684501), # 104
(15.360064412238325, 13.125089605734766, 15.043981481481481, 17.766123188405796, 17.237472766884533, 9.362139917695474, 10.152526195663453, 10.046913580246915, 17.6570987654321, 9.880029048656501, 11.537480063795854, 13.508252111760886, 15.433217592592593), # 105
(15.311157678773782, 13.054275534315678, 15.012192455418381, 17.717437949543747, 17.205830710885177, 9.339234141137021, 10.105258559939752, 10.011262185642433, 17.622086602652033, 9.842966199198472, 11.490463417803769, 13.46734204509903, 15.401943587105624), # 106
(15.26239293851017, 12.983647524226738, 14.980163100137176, 17.66865093934514, 17.174111191801824, 9.31663856119494, 10.058041090784739, 9.976418472793783, 17.58724343850023, 9.805817417359263, 11.443941260558804, 13.426339566336967, 15.370649005486968), # 107
(15.21384347826087, 12.913238709677422, 14.947900000000002, 17.619795652173917, 17.14235294117647, 9.294400000000001, 10.010890756302521, 9.942400000000001, 17.5526, 9.768583529411766, 11.397982775119617, 13.38526315789474, 15.339375000000002), # 108
(15.16558258483927, 12.843082224877207, 14.915409739369, 17.570905582393987, 17.11059469055112, 9.272565279682976, 9.96382452459722, 9.90922432556013, 17.518187014174668, 9.731265361628877, 11.352657144544864, 13.34413130219238, 15.308162722908094), # 109
(15.117683545058746, 12.77321120403558, 14.882698902606315, 17.522014224369297, 17.078875171467768, 9.251181222374639, 9.916859363772943, 9.876909007773206, 17.484035208047555, 9.693863740283494, 11.308033551893201, 13.302962481649942, 15.277053326474624), # 110
(15.07021964573269, 12.703658781362009, 14.849774074074077, 17.47315507246377, 17.047233115468412, 9.230294650205762, 9.87001224193381, 9.845471604938272, 17.450175308641978, 9.656379491648512, 11.264181180223286, 13.261775178687461, 15.246087962962964), # 111
(15.02326417367448, 12.634458091065975, 14.816641838134434, 17.42436162104133, 17.015707254095055, 9.209952385307119, 9.823300127183934, 9.814929675354367, 17.41663804298125, 9.618813441996826, 11.221169212593775, 13.220587875724977, 15.215307784636488), # 112
(14.976806757924871, 12.565757790057525, 14.78338852520331, 17.375734211987265, 16.98428108827793, 9.190191630743222, 9.776841541850832, 9.78536411004897, 17.383540498013794, 9.581287578580367, 11.179078249844586, 13.179508698407085, 15.184710241349155), # 113
(14.930369436640104, 12.498235493640857, 14.75047308003459, 17.327663074043738, 16.952629367306123, 9.170967373647843, 9.731229133456928, 9.757138015208191, 17.351390457140898, 9.544504268660452, 11.137990939381115, 13.13905947538076, 15.154040662656056), # 114
(14.883815844806392, 12.431915517892875, 14.717915092331708, 17.280135208290847, 16.920652284621763, 9.152229619998023, 9.6864954403065, 9.730244246845935, 17.320199965870064, 9.508520524780923, 11.09784721828335, 13.099260132094162, 15.123210610656603), # 115
(14.837087797180216, 12.366701250066724, 14.685651503974197, 17.233065840426246, 16.888301642214046, 9.133934203659356, 9.64256770804463, 9.70460850063839, 17.28989014276453, 9.473269373519276, 11.05856949003437, 13.060037115979753, 15.092171615609425), # 116
(14.790127108518035, 12.302496077415555, 14.653619256841578, 17.18637019614759, 16.855529242072176, 9.116036958497425, 9.599373182316404, 9.680156472261736, 17.260382106387524, 9.438683841453006, 11.020080158117253, 13.021316874470001, 15.06087520777316), # 117
(14.742875593576338, 12.239203387192518, 14.621755292813388, 17.139963501152533, 16.82228688618535, 9.098493718377823, 9.556839108766905, 9.656813857392155, 17.231596975302296, 9.404696955159615, 10.98230162601508, 12.98302585499736, 15.02927291740644), # 118
(14.695275067111588, 12.176726566650768, 14.589996553769158, 17.09376098113873, 16.788526376542755, 9.081260317166132, 9.51489273304121, 9.634506351705832, 17.20345586807207, 9.371241741216595, 10.945156297210925, 12.945090504994296, 14.997316274767892), # 119
(14.647267343880259, 12.114969003043454, 14.55827998158842, 17.04767786180383, 16.754199515133596, 9.064292588727945, 9.473461300784406, 9.613159650878949, 17.175879903260093, 9.338251226201448, 10.908566575187866, 12.907437271893276, 14.964956810116156), # 120
(14.59879423863883, 12.053834083623727, 14.5265425181507, 17.001629368845496, 16.71925810394707, 9.047546366928849, 9.432472057641569, 9.592699450587691, 17.148790199429598, 9.305658436691674, 10.872454863428986, 12.869992603126756, 14.932146053709857), # 121
(14.549797566143766, 11.993225195644738, 14.494721105335538, 16.95553072796137, 16.683653944972374, 9.03097748563443, 9.391852249257788, 9.573051446508238, 17.122107875143822, 9.273396399264763, 10.836743565417363, 12.832682946127202, 14.898835535807633), # 122
(14.50021914115155, 11.933045726359639, 14.462752685022458, 16.90929716484911, 16.647338840198707, 9.01454177871028, 9.351529121278142, 9.554141334316773, 17.095754048966008, 9.24139814049822, 10.801355084636072, 12.795434748327075, 14.864976786668116), # 123
(14.450000778418648, 11.87319906302158, 14.430574199090993, 16.86284390520638, 16.61026459161526, 8.998195080021983, 9.311429919347711, 9.535894809689482, 17.069649839459384, 9.209596686969538, 10.766211824568192, 12.758174457158841, 14.830521336549939), # 124
(14.399084292701534, 11.813588592883713, 14.398122589420678, 16.816086174730817, 16.572383001211236, 8.98189322343513, 9.271481889111582, 9.518237568302546, 17.04371636518719, 9.177925065256215, 10.731236188696803, 12.720828520054958, 14.795420715711726), # 125
(14.347411498756685, 11.754117703199192, 14.365334797891038, 16.768939199120087, 16.53364587097583, 8.965592042815308, 9.231612276214832, 9.501095305832148, 17.017874744712667, 9.146316301935748, 10.696350580504982, 12.683323384447895, 14.759626454412127), # 126
(14.294924211340579, 11.69468978122116, 14.332147766381608, 16.72131820407184, 16.494005002898238, 8.949247372028104, 9.19174832630255, 9.484393717954474, 16.99204609659905, 9.114703423585638, 10.661477403475807, 12.645585497770107, 14.723090082909758), # 127
(14.241564245209673, 11.635208214202777, 14.29849843677192, 16.67313841528373, 16.453412198967666, 8.93281504493911, 9.151817285019812, 9.4680585003457, 16.966151539409577, 9.083019456783381, 10.626539061092359, 12.607541307454062, 14.68576313146326), # 128
(14.187273415120451, 11.575576389397186, 14.264323750941504, 16.624315058453412, 16.4118192611733, 8.916250895413912, 9.111746398011702, 9.452015348682016, 16.94011219170748, 9.051197428106473, 10.591457956837715, 12.569117260932218, 14.647597130331262), # 129
(14.131993535829388, 11.515697694057547, 14.229560650769887, 16.57476335927854, 16.36917799150434, 8.899510757318094, 9.0714629109233, 9.4361899586396, 16.913849172056, 9.019170364132412, 10.556156494194951, 12.530239805637045, 14.608543609772397), # 130
(14.07566642209295, 11.455475515437003, 14.19414607813661, 16.524398543456762, 16.32544019194999, 8.88255046451725, 9.030894069399695, 9.42050802589464, 16.887283599018378, 8.986871291438696, 10.52055707664715, 12.490835389000999, 14.568554100045299), # 131
(14.018233888667616, 11.39481324078871, 14.158016974921194, 16.47313583668574, 16.280557664499447, 8.865325850876964, 8.98996711908596, 9.404895246123317, 16.860336591157846, 8.954233236602823, 10.484582107677383, 12.450830458456547, 14.527580131408602), # 132
(13.959637750309861, 11.333614257365817, 14.121110283003175, 16.420890464663124, 16.2344822111419, 8.847792750262826, 8.948609305627183, 9.389277315001811, 16.832929267037642, 8.921189226202292, 10.448153990768738, 12.410151461436149, 14.485573234120938), # 133
(13.899819821776152, 11.271781952421478, 14.083362944262086, 16.367577653086567, 16.18716563386655, 8.829906996540425, 8.906747874668445, 9.37357992820631, 16.804982745221007, 8.887672286814597, 10.411195129404286, 12.368724845372267, 14.442484938440934), # 134
(13.838721917822966, 11.209219713208839, 14.044711900577454, 16.313112627653727, 16.138559734662593, 8.811624423575347, 8.86431007185483, 9.357728781412993, 16.77641814427117, 8.853615445017242, 10.373627927067108, 12.326477057697364, 14.398266774627231), # 135
(13.776285853206776, 11.145830926981056, 14.005094093828815, 16.25741061406225, 16.08861631551923, 8.792900865233184, 8.821223142831416, 9.341649570298044, 16.74715658275137, 8.818951727387716, 10.335374787240283, 12.283334545843907, 14.352870272938459), # 136
(13.712453442684055, 11.081518980991277, 13.964446465895698, 16.200386838009802, 16.037287178425654, 8.773692155379518, 8.77741433324329, 9.325267990537647, 16.717119179224852, 8.783614160503523, 10.296358113406889, 12.239223757244352, 14.306246963633242), # 137
(13.647166501011277, 11.016187262492654, 13.922705958657628, 16.141956525194022, 15.98452412537107, 8.753954127879942, 8.732810888735527, 9.308509737807984, 16.68622705225485, 8.747535770942156, 10.256500309050004, 12.194071139331164, 14.258348376970226), # 138
(13.58036684294491, 10.949739158738339, 13.879809513994145, 16.082034901312575, 15.930278958344665, 8.733642616600042, 8.687340054953216, 9.29130050778524, 16.654401320404595, 8.710649585281116, 10.215723777652705, 12.14780313953681, 14.20912604320803), # 139
(13.511996283241437, 10.88207805698148, 13.83569407378478, 16.020537192063113, 15.874503479335647, 8.712713455405407, 8.640929077541434, 9.273565996145594, 16.62156310223733, 8.672888630097898, 10.17395092269807, 12.100346205293746, 14.158531492605304), # 140
(13.44199663665733, 10.813107344475235, 13.790296579909057, 15.957378623143285, 15.817149490333206, 8.691122478161624, 8.593505202145272, 9.255231898565233, 16.587633516316288, 8.634185931970002, 10.131104147669182, 12.05162678403444, 14.106516255420662), # 141
(13.37030971794905, 10.742730408472745, 13.743553974246513, 15.892474420250753, 15.75816879332654, 8.668825518734284, 8.544995674409803, 9.236223910720339, 16.552533681204707, 8.594474517474925, 10.087105856049115, 12.001571323191351, 14.053031861912746), # 142
(13.29687734187308, 10.67085063622717, 13.695403198676681, 15.82573980908316, 15.697513190304846, 8.64577841098897, 8.49532773998011, 9.21646772828709, 16.516184715465837, 8.553687413190165, 10.04187845132095, 11.950106270196944, 13.998029842340188), # 143
(13.221641323185896, 10.597371414991658, 13.645781195079085, 15.757090015338171, 15.635134483257326, 8.621936988791274, 8.444428644501278, 9.195889046941678, 16.478507737662895, 8.511757645693216, 9.995344336967761, 11.897158072483679, 13.941461726961624), # 144
(13.144543476643964, 10.52219613201936, 13.594624905333262, 15.686440264713433, 15.570984474173173, 8.597257086006785, 8.39222563361839, 9.174413562360282, 16.439423866359128, 8.46861824156158, 9.947425916472632, 11.842653177484022, 13.88327904603568), # 145
(13.065525617003761, 10.445228174563427, 13.541871271318747, 15.613705782906601, 15.505014965041589, 8.57169453650109, 8.338645952976528, 9.151966970219084, 16.39885422011777, 8.424202227372753, 9.898045593318638, 11.786518032630433, 13.82343332982099), # 146
(12.98452955902176, 10.366370929877009, 13.487457234915055, 15.538801795615328, 15.437177757851764, 8.545205174139772, 8.28361684822077, 9.128474966194265, 16.356719917502065, 8.378442629704233, 9.847125770988859, 11.728679085355378, 13.761876108576189), # 147
(12.901497117454435, 10.285527785213262, 13.431319738001733, 15.461643528537275, 15.367424654592899, 8.517744832788429, 8.227065564996202, 9.103863245962012, 16.312942077075245, 8.331272475133515, 9.794588852966372, 11.669062783091313, 13.698558912559907), # 148
(12.81637010705826, 10.20260212782533, 13.37339572245831, 15.382146207370084, 15.295707457254194, 8.48926934631264, 8.168919348947906, 9.078057505198506, 16.26744181740054, 8.282624790238101, 9.740357242734255, 11.607595573270707, 13.63343327203078), # 149
(12.729090342589704, 10.117497344966367, 13.313622130164312, 15.30022505781142, 15.221977967824841, 8.459734548577998, 8.109105445720962, 9.05098343957993, 16.220140257041205, 8.232432601595482, 9.684353343775589, 11.544203903326022, 13.566450717247434), # 150
(12.63959963880524, 10.030116823889527, 13.251935902999268, 15.215795305558927, 15.146187988294043, 8.429096273450089, 8.047551100960453, 9.02256674478247, 16.170958514560464, 8.180628935783165, 9.626499559573448, 11.478814220689715, 13.49756277846851), # 151
(12.54783981046135, 9.940363951847957, 13.188273982842723, 15.128772176310271, 15.06828932065099, 8.397310354794502, 7.984183560311464, 8.992733116482306, 16.119817708521552, 8.12714681937864, 9.566718293610915, 11.411352972794255, 13.426720985952636), # 152
(12.453752672314497, 9.848142116094811, 13.12257331157419, 15.039070895763093, 14.988233766884889, 8.364332626476825, 7.918930069419071, 8.96140825035562, 16.06663895748772, 8.071919278959406, 9.504931949371066, 11.341746607072103, 13.353876869958444), # 153
(12.357280039121166, 9.75335470388324, 13.054770831073213, 14.946606689615056, 14.905973128984929, 8.330118922362647, 7.851717873928365, 8.928517842078596, 16.011343380022186, 8.014879341102965, 9.44106293033698, 11.26992157095572, 13.278981960744572), # 154
(12.258363725637818, 9.655905102466392, 12.984803483219322, 14.851294783563805, 14.821459208940315, 8.294625076317555, 7.782474219484418, 8.893987587327418, 15.953852094688205, 7.955960032386807, 9.375033639991733, 11.195804311877572, 13.201987788569642), # 155
(12.15694554662093, 9.555696699097421, 12.912608209892042, 14.753050403307, 14.734643808740238, 8.257806922207138, 7.71112635173232, 8.85774318177827, 15.894086220049003, 7.8950943793884365, 9.306766481818407, 11.119321277270117, 13.122845883692296), # 156
(12.05296731682698, 9.452632881029478, 12.838121952970909, 14.6517887745423, 14.645478730373895, 8.219620293896982, 7.637601516317151, 8.819710321107332, 15.831966874667822, 7.832215408685347, 9.236183859300079, 11.04039891456582, 13.041507776371162), # 157
(11.943489514248384, 9.344724993235614, 12.75774712624377, 14.54363133064199, 14.549889769393596, 8.177639162107376, 7.560170753484572, 8.777275123758995, 15.762659346558557, 7.76538546606583, 9.160953204062308, 10.956159302710944, 12.954377375064553), # 158
(11.811658827165445, 9.220904511359164, 12.65078050944478, 14.406363454061527, 14.424306095650605, 8.117903436811366, 7.469140421417146, 8.715541652423012, 15.658283617955432, 7.683649590557993, 9.06786709699039, 10.850180037892974, 12.840684235072311), # 159
(11.655795351846896, 9.080154765665142, 12.515073532729422, 14.237724016654177, 14.266272210154874, 8.038946073676295, 7.363589997414055, 8.632958703243755, 15.515880363565842, 7.58592904298063, 8.955615213775264, 10.720803118220555, 12.69827297422973), # 160
(11.477155287337537, 8.92339338892875, 12.352075155056495, 14.039316006010765, 14.077428998851381, 7.941723586512502, 7.244290313611002, 8.530560852975649, 15.337327627198428, 7.473053109073501, 8.825186647359532, 10.569227950252113, 12.528598471710556), # 161
(11.27699483268217, 8.751538013925183, 12.163234335384793, 13.812742409722123, 13.859417347685127, 7.827192489130329, 7.112012202143695, 8.409382678373124, 15.12450345266182, 7.3458510745763705, 8.677570490685794, 10.39665394054607, 12.333115606688533), # 162
(11.056570186925597, 8.565506273429639, 11.950000032673124, 13.559606215379095, 13.613878142601102, 7.696309295340116, 6.967526495147841, 8.2704587561906, 14.87928588376465, 7.205152225229, 8.513755836696653, 10.204280495660853, 12.113279258337407), # 163
(10.817137549112616, 8.366215800217313, 11.713821205880283, 13.281510410572508, 13.342452269544303, 7.550030518952207, 6.811604024759146, 8.114823663182511, 14.603552964315558, 7.05178584677115, 8.334731778334714, 9.993307022154886, 11.870544305830926), # 164
(10.559953118288028, 8.154584227063411, 11.45614681396507, 12.980057982893204, 13.046780614459719, 7.389312673776939, 6.6450156231133155, 7.943511976103274, 14.299182738123168, 6.8865812249425815, 8.141487408542579, 9.764932926586592, 11.606365628342832), # 165
(10.286273093496636, 7.931529186743127, 11.178425815886285, 12.656851919932002, 12.728504063292343, 7.215112273624654, 6.468532122346058, 7.757558271707324, 13.968053248996117, 6.71036764548306, 7.935011820262847, 9.520357615514403, 11.322198105046873), # 166
(9.997353673783238, 7.6979683120316595, 10.882107170602728, 12.31349520927975, 12.389263501987168, 7.028385832305694, 6.28292435459308, 7.557997126749083, 13.61204254074304, 6.523974394132343, 7.716294106438124, 9.260780495496734, 11.019496615116793), # 167
(9.694451058192634, 7.454819235704206, 10.568639837073198, 11.951590838527274, 12.030699816489188, 6.830089863630398, 6.088963151990087, 7.345863117982976, 13.233028657172568, 6.328230756630195, 7.48632336001101, 8.987400973092019, 10.69971603772634), # 168
(9.378821445769624, 7.202999590535967, 10.239472774256495, 11.572741795265413, 11.654453892743392, 6.621180881409112, 5.887419346672787, 7.122190822163432, 12.832889642093342, 6.123966018716379, 7.24608867392411, 8.701418454858675, 10.364311252049257), # 169
(9.051721035559014, 6.94342700930214, 9.896054941111416, 11.178551067084992, 11.262166616694774, 6.402615399452171, 5.679063770776885, 6.888014816044876, 12.413503539313982, 5.912009466130653, 6.996579141120026, 8.404032347355134, 10.014737137259289), # 170
(8.7144060266056, 6.677019124777921, 9.539835296596765, 10.770621641576858, 10.85547887428833, 6.175349931569918, 5.464667256438089, 6.644369676381733, 11.976748392643131, 5.693190384612782, 6.738783854541357, 8.096442057139818, 9.652448572530185), # 171
(8.368132617954185, 6.4046935697385114, 9.172262799671339, 10.350556506331834, 10.436031551469046, 5.940340991572694, 5.245000635792105, 6.392289979928433, 11.524502245889417, 5.468338059902528, 6.473691907130711, 7.779846990771154, 9.278900437035686), # 172
(8.014157008649567, 6.127367976959108, 8.79478640929394, 9.919958648940762, 10.005465534181923, 5.69854509327084, 5.02083474097464, 6.132810303439398, 11.058643142861477, 5.238281777739651, 6.202292391830685, 7.45544655480756, 8.89554760994954), # 173
(7.6537353977365505, 5.845959979214909, 8.408855084423363, 9.480431056994465, 9.565421708371947, 5.450918750474696, 4.792940404121401, 5.866965223669057, 10.581049127367942, 5.003850823863915, 5.9255744015838845, 7.124440155807469, 8.503844970445494), # 174
(7.288123984259929, 5.561387209281111, 8.015917784018413, 9.033576718083788, 9.11754095998411, 5.198418476994606, 4.562088457368093, 5.595789317371834, 10.09359824321745, 4.765874484015079, 5.644527029332911, 6.788027200329303, 8.105247397697292), # 175
(6.91857896726451, 5.274567299932917, 7.617423467037885, 8.58099861979956, 8.663464174963408, 4.942000786640907, 4.329049732850424, 5.3203171613021585, 9.598168534218628, 4.525182043932907, 5.360139368020368, 6.447407094931487, 7.701209770878679), # 176
(6.546356545795092, 4.986417883945522, 7.214821092440582, 8.124299749732613, 8.204832239254838, 4.682622193223941, 4.094595062704101, 5.0415833322144525, 9.096638044180112, 4.282602789357159, 5.073400510588858, 6.103779246172446, 7.2931869691634), # 177
(6.172712918896475, 4.697856594094126, 6.809559619185302, 7.665083095473786, 7.743286038803382, 4.421239210554052, 3.859495279064828, 4.760622406863145, 8.590884816910537, 4.0389660060276, 4.78529954998098, 5.758343060610604, 6.882633871725203), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(11, 2, 10, 9, 2, 7, 2, 5, 2, 1, 1, 0, 0, 9, 8, 6, 8, 2, 5, 1, 5, 4, 1, 1, 1, 0), # 0
(20, 14, 19, 18, 10, 9, 3, 9, 4, 1, 2, 2, 0, 17, 14, 14, 13, 4, 10, 8, 8, 7, 2, 1, 3, 0), # 1
(24, 17, 27, 28, 17, 14, 4, 15, 8, 5, 3, 2, 0, 32, 24, 18, 21, 8, 15, 11, 10, 12, 3, 3, 4, 0), # 2
(33, 29, 31, 39, 22, 19, 7, 19, 10, 6, 4, 3, 0, 39, 37, 27, 24, 20, 22, 14, 12, 14, 5, 4, 5, 0), # 3
(42, 42, 39, 46, 29, 20, 12, 26, 11, 7, 5, 5, 0, 46, 46, 30, 31, 28, 25, 19, 14, 17, 8, 6, 6, 0), # 4
(54, 49, 47, 54, 38, 22, 17, 32, 13, 9, 10, 5, 0, 50, 51, 39, 38, 38, 31, 20, 17, 25, 10, 10, 11, 0), # 5
(70, 63, 61, 65, 43, 27, 24, 37, 13, 10, 10, 5, 0, 60, 63, 47, 42, 46, 38, 24, 18, 27, 14, 12, 13, 0), # 6
(77, 70, 79, 75, 53, 32, 29, 40, 19, 14, 11, 6, 0, 69, 70, 61, 48, 56, 45, 29, 20, 30, 16, 16, 14, 0), # 7
(94, 86, 91, 87, 62, 33, 36, 45, 24, 17, 12, 6, 0, 84, 81, 66, 56, 68, 48, 38, 25, 34, 22, 17, 15, 0), # 8
(107, 98, 102, 97, 75, 39, 39, 47, 28, 21, 15, 7, 0, 98, 90, 72, 68, 74, 54, 40, 29, 40, 29, 19, 16, 0), # 9
(124, 113, 113, 112, 85, 41, 46, 53, 38, 23, 15, 8, 0, 116, 106, 84, 73, 80, 63, 46, 29, 46, 38, 23, 17, 0), # 10
(133, 124, 126, 125, 91, 43, 53, 59, 41, 24, 20, 8, 0, 130, 119, 92, 79, 92, 74, 50, 30, 52, 40, 25, 18, 0), # 11
(143, 142, 135, 136, 98, 47, 58, 63, 49, 28, 20, 9, 0, 142, 132, 99, 86, 110, 80, 53, 38, 56, 42, 28, 18, 0), # 12
(153, 154, 142, 145, 105, 50, 65, 70, 55, 30, 22, 11, 0, 157, 153, 109, 96, 122, 85, 59, 40, 58, 42, 30, 20, 0), # 13
(176, 171, 148, 171, 121, 53, 74, 77, 58, 32, 24, 12, 0, 174, 164, 124, 106, 131, 89, 66, 45, 60, 46, 31, 21, 0), # 14
(188, 181, 158, 191, 130, 57, 85, 83, 65, 37, 27, 14, 0, 196, 180, 138, 115, 143, 97, 69, 49, 68, 52, 32, 23, 0), # 15
(202, 195, 168, 206, 139, 60, 89, 88, 68, 38, 28, 15, 0, 210, 197, 153, 127, 154, 100, 73, 55, 71, 58, 35, 24, 0), # 16
(226, 207, 176, 215, 153, 68, 94, 94, 73, 40, 30, 16, 0, 225, 212, 160, 138, 169, 105, 85, 61, 72, 64, 38, 25, 0), # 17
(247, 225, 189, 232, 169, 74, 104, 100, 76, 44, 32, 18, 0, 237, 230, 173, 146, 177, 113, 90, 66, 75, 72, 39, 28, 0), # 18
(262, 235, 198, 245, 182, 81, 110, 111, 82, 46, 33, 18, 0, 259, 243, 182, 155, 192, 122, 96, 73, 81, 75, 39, 28, 0), # 19
(277, 247, 212, 250, 191, 87, 116, 122, 84, 47, 34, 20, 0, 278, 252, 192, 164, 205, 132, 102, 77, 87, 79, 43, 29, 0), # 20
(295, 270, 224, 267, 201, 92, 119, 130, 89, 50, 35, 21, 0, 293, 261, 202, 176, 221, 138, 109, 79, 95, 84, 45, 30, 0), # 21
(315, 287, 237, 284, 209, 101, 128, 136, 96, 53, 35, 21, 0, 309, 274, 216, 182, 234, 146, 116, 83, 102, 85, 45, 32, 0), # 22
(327, 303, 256, 298, 225, 109, 133, 145, 99, 54, 37, 22, 0, 337, 286, 224, 190, 255, 162, 118, 89, 107, 90, 49, 36, 0), # 23
(345, 321, 271, 315, 242, 116, 141, 150, 102, 57, 40, 24, 0, 361, 306, 240, 201, 271, 169, 126, 92, 112, 92, 53, 37, 0), # 24
(360, 339, 285, 331, 260, 126, 143, 153, 107, 59, 42, 25, 0, 377, 319, 250, 212, 284, 179, 134, 98, 118, 93, 55, 41, 0), # 25
(379, 358, 301, 345, 274, 136, 150, 159, 117, 60, 45, 25, 0, 388, 335, 261, 220, 304, 185, 138, 106, 121, 102, 58, 44, 0), # 26
(392, 377, 317, 359, 290, 140, 156, 165, 120, 62, 46, 27, 0, 406, 349, 273, 232, 316, 193, 150, 109, 127, 108, 61, 44, 0), # 27
(405, 394, 329, 375, 300, 143, 160, 167, 126, 65, 50, 27, 0, 417, 367, 282, 240, 330, 198, 153, 118, 130, 114, 65, 46, 0), # 28
(431, 411, 342, 392, 307, 146, 165, 170, 131, 68, 50, 28, 0, 438, 384, 289, 252, 347, 211, 159, 122, 139, 115, 69, 49, 0), # 29
(453, 432, 352, 411, 328, 150, 167, 179, 137, 71, 50, 30, 0, 456, 393, 299, 267, 357, 225, 165, 128, 144, 120, 70, 51, 0), # 30
(468, 449, 359, 431, 339, 154, 170, 190, 140, 77, 51, 31, 0, 470, 407, 307, 274, 368, 235, 173, 132, 150, 121, 71, 52, 0), # 31
(485, 463, 370, 446, 353, 159, 180, 198, 148, 82, 53, 31, 0, 489, 425, 317, 280, 376, 240, 178, 139, 152, 127, 75, 53, 0), # 32
(502, 470, 387, 461, 368, 166, 186, 204, 152, 87, 58, 35, 0, 505, 438, 331, 290, 387, 251, 181, 143, 159, 132, 77, 54, 0), # 33
(522, 482, 394, 480, 375, 169, 194, 205, 158, 90, 60, 35, 0, 523, 452, 344, 295, 395, 261, 188, 147, 162, 135, 82, 56, 0), # 34
(535, 503, 405, 489, 386, 181, 201, 208, 163, 90, 64, 36, 0, 538, 466, 351, 304, 411, 269, 195, 149, 169, 139, 85, 58, 0), # 35
(556, 517, 419, 506, 399, 186, 205, 216, 171, 92, 67, 36, 0, 554, 482, 357, 317, 422, 276, 202, 153, 175, 143, 88, 61, 0), # 36
(567, 530, 429, 518, 409, 191, 215, 220, 177, 96, 70, 37, 0, 576, 494, 374, 323, 433, 286, 206, 157, 182, 148, 89, 62, 0), # 37
(582, 546, 439, 529, 421, 200, 221, 223, 183, 96, 70, 37, 0, 595, 510, 382, 331, 445, 296, 212, 163, 189, 155, 90, 64, 0), # 38
(602, 558, 455, 544, 433, 204, 227, 231, 184, 100, 72, 40, 0, 609, 524, 392, 338, 454, 305, 217, 168, 191, 160, 92, 64, 0), # 39
(618, 567, 469, 559, 443, 217, 230, 237, 194, 103, 74, 42, 0, 620, 536, 399, 348, 465, 315, 226, 170, 197, 163, 93, 65, 0), # 40
(632, 586, 486, 570, 447, 224, 244, 244, 203, 105, 74, 44, 0, 637, 540, 409, 360, 481, 322, 236, 173, 205, 166, 95, 67, 0), # 41
(649, 598, 494, 580, 458, 231, 246, 247, 208, 106, 76, 44, 0, 656, 553, 425, 367, 500, 326, 242, 174, 208, 172, 95, 69, 0), # 42
(663, 613, 505, 594, 462, 241, 253, 248, 212, 108, 77, 48, 0, 674, 566, 436, 377, 510, 330, 245, 179, 215, 175, 96, 69, 0), # 43
(681, 630, 519, 608, 470, 245, 261, 259, 215, 111, 77, 51, 0, 688, 580, 446, 383, 522, 337, 252, 179, 221, 177, 98, 72, 0), # 44
(692, 646, 537, 621, 484, 249, 268, 266, 223, 115, 84, 52, 0, 708, 592, 457, 388, 538, 345, 262, 184, 232, 179, 100, 75, 0), # 45
(706, 669, 550, 638, 493, 254, 272, 269, 230, 117, 89, 55, 0, 727, 610, 463, 394, 558, 357, 268, 191, 236, 189, 102, 78, 0), # 46
(721, 686, 561, 650, 507, 258, 282, 281, 236, 120, 90, 58, 0, 744, 623, 477, 409, 570, 366, 272, 195, 244, 192, 105, 82, 0), # 47
(746, 704, 573, 659, 518, 264, 292, 291, 240, 123, 93, 59, 0, 756, 635, 482, 418, 581, 378, 282, 200, 251, 195, 105, 82, 0), # 48
(766, 720, 589, 679, 527, 272, 294, 294, 250, 124, 95, 61, 0, 770, 645, 496, 434, 588, 383, 286, 202, 256, 199, 108, 84, 0), # 49
(784, 735, 607, 690, 534, 277, 309, 299, 256, 129, 95, 61, 0, 788, 668, 508, 443, 599, 392, 295, 204, 262, 204, 110, 87, 0), # 50
(800, 750, 624, 709, 546, 280, 321, 302, 262, 130, 95, 61, 0, 807, 676, 520, 451, 605, 402, 304, 208, 268, 210, 112, 88, 0), # 51
(816, 763, 640, 724, 564, 283, 328, 308, 267, 133, 98, 61, 0, 829, 688, 534, 459, 617, 409, 310, 210, 272, 214, 117, 88, 0), # 52
(837, 776, 651, 732, 577, 287, 331, 313, 274, 136, 101, 62, 0, 844, 702, 544, 470, 632, 421, 314, 212, 275, 217, 119, 89, 0), # 53
(849, 795, 670, 746, 589, 294, 336, 323, 280, 138, 104, 63, 0, 854, 711, 554, 476, 646, 432, 317, 215, 281, 225, 124, 89, 0), # 54
(860, 812, 690, 757, 595, 305, 342, 329, 282, 141, 106, 65, 0, 876, 725, 565, 483, 660, 439, 318, 223, 288, 230, 128, 90, 0), # 55
(873, 824, 700, 773, 608, 310, 350, 331, 287, 145, 108, 67, 0, 897, 742, 576, 491, 669, 446, 326, 231, 297, 235, 131, 93, 0), # 56
(887, 837, 707, 783, 622, 317, 359, 335, 293, 146, 109, 70, 0, 909, 755, 586, 497, 678, 450, 335, 232, 305, 239, 132, 93, 0), # 57
(900, 858, 717, 800, 634, 320, 365, 341, 298, 149, 111, 72, 0, 923, 762, 593, 509, 692, 458, 342, 235, 314, 246, 136, 97, 0), # 58
(912, 868, 726, 814, 655, 326, 377, 345, 305, 157, 113, 73, 0, 939, 777, 599, 518, 706, 467, 346, 237, 318, 251, 137, 97, 0), # 59
(923, 886, 746, 828, 664, 328, 384, 349, 312, 157, 115, 77, 0, 953, 789, 612, 523, 720, 476, 355, 241, 324, 258, 138, 97, 0), # 60
(943, 899, 756, 843, 673, 336, 390, 354, 318, 160, 117, 78, 0, 966, 800, 621, 527, 732, 480, 362, 254, 333, 260, 139, 98, 0), # 61
(959, 914, 768, 858, 688, 343, 400, 364, 324, 163, 118, 78, 0, 982, 817, 634, 535, 751, 489, 366, 257, 340, 266, 142, 99, 0), # 62
(980, 919, 782, 877, 700, 352, 405, 368, 334, 167, 120, 79, 0, 993, 831, 650, 545, 763, 494, 371, 259, 344, 272, 144, 101, 0), # 63
(994, 931, 796, 893, 707, 357, 405, 370, 339, 168, 122, 80, 0, 1002, 845, 671, 556, 771, 506, 376, 264, 348, 275, 145, 102, 0), # 64
(1012, 948, 807, 904, 716, 362, 409, 372, 350, 168, 123, 82, 0, 1021, 861, 681, 567, 783, 511, 386, 269, 351, 279, 149, 104, 0), # 65
(1038, 961, 815, 925, 730, 365, 416, 378, 354, 169, 124, 83, 0, 1037, 871, 694, 575, 799, 515, 397, 273, 356, 285, 151, 104, 0), # 66
(1056, 972, 835, 948, 738, 377, 425, 380, 357, 174, 128, 86, 0, 1055, 884, 700, 585, 811, 524, 404, 275, 362, 292, 159, 105, 0), # 67
(1073, 985, 851, 963, 750, 386, 428, 385, 361, 178, 129, 86, 0, 1069, 900, 708, 592, 825, 531, 408, 278, 373, 301, 164, 108, 0), # 68
(1089, 996, 865, 982, 759, 388, 435, 386, 372, 184, 133, 88, 0, 1083, 912, 726, 599, 843, 533, 415, 280, 379, 304, 165, 108, 0), # 69
(1102, 1004, 887, 995, 769, 392, 437, 389, 378, 188, 134, 89, 0, 1095, 925, 739, 606, 857, 541, 422, 282, 381, 307, 169, 110, 0), # 70
(1117, 1019, 898, 1014, 779, 401, 442, 398, 385, 192, 136, 92, 0, 1115, 935, 744, 614, 870, 544, 425, 288, 391, 315, 172, 113, 0), # 71
(1134, 1029, 907, 1023, 793, 410, 448, 403, 389, 194, 137, 94, 0, 1132, 949, 751, 622, 878, 548, 429, 295, 401, 317, 175, 114, 0), # 72
(1143, 1043, 916, 1034, 810, 414, 453, 408, 392, 197, 137, 95, 0, 1148, 957, 766, 633, 892, 560, 437, 298, 409, 319, 178, 117, 0), # 73
(1153, 1057, 936, 1049, 824, 418, 453, 413, 399, 199, 140, 96, 0, 1170, 969, 773, 642, 906, 569, 445, 299, 422, 319, 180, 119, 0), # 74
(1167, 1070, 955, 1065, 833, 421, 456, 420, 403, 200, 146, 100, 0, 1188, 983, 779, 650, 921, 572, 451, 305, 428, 324, 182, 119, 0), # 75
(1190, 1089, 972, 1081, 842, 430, 462, 425, 406, 201, 149, 100, 0, 1204, 998, 790, 659, 936, 584, 458, 310, 429, 325, 189, 122, 0), # 76
(1201, 1104, 978, 1094, 855, 436, 468, 428, 410, 204, 151, 101, 0, 1217, 1009, 795, 669, 947, 592, 463, 315, 437, 328, 192, 123, 0), # 77
(1215, 1116, 990, 1116, 865, 442, 477, 435, 415, 206, 152, 101, 0, 1234, 1030, 809, 679, 958, 600, 472, 323, 443, 334, 196, 126, 0), # 78
(1237, 1135, 1007, 1130, 875, 444, 482, 441, 421, 207, 154, 105, 0, 1253, 1038, 825, 686, 966, 608, 477, 326, 448, 338, 198, 126, 0), # 79
(1253, 1145, 1017, 1139, 885, 449, 487, 445, 427, 208, 156, 105, 0, 1276, 1050, 834, 697, 985, 614, 479, 329, 453, 340, 203, 127, 0), # 80
(1277, 1157, 1029, 1151, 895, 455, 497, 449, 433, 213, 162, 106, 0, 1293, 1065, 840, 708, 1000, 624, 485, 333, 459, 345, 205, 129, 0), # 81
(1293, 1174, 1041, 1166, 905, 457, 501, 453, 436, 217, 163, 107, 0, 1314, 1082, 848, 718, 1013, 629, 489, 337, 464, 348, 207, 131, 0), # 82
(1310, 1182, 1056, 1181, 917, 464, 510, 458, 446, 219, 167, 107, 0, 1329, 1099, 857, 725, 1030, 633, 495, 342, 467, 353, 209, 133, 0), # 83
(1321, 1198, 1066, 1193, 926, 469, 518, 463, 451, 222, 171, 107, 0, 1347, 1113, 870, 731, 1042, 637, 501, 348, 473, 357, 209, 134, 0), # 84
(1335, 1216, 1077, 1204, 936, 478, 524, 470, 455, 225, 171, 107, 0, 1360, 1130, 886, 739, 1057, 646, 504, 352, 480, 362, 211, 135, 0), # 85
(1348, 1230, 1091, 1215, 948, 483, 528, 475, 459, 226, 173, 108, 0, 1381, 1143, 894, 748, 1064, 649, 508, 357, 486, 364, 213, 137, 0), # 86
(1368, 1240, 1106, 1233, 956, 487, 535, 481, 467, 226, 177, 110, 0, 1400, 1162, 904, 756, 1070, 657, 516, 363, 491, 368, 216, 138, 0), # 87
(1387, 1257, 1120, 1249, 964, 494, 540, 490, 469, 227, 178, 113, 0, 1413, 1171, 917, 763, 1082, 667, 520, 368, 500, 376, 218, 139, 0), # 88
(1411, 1267, 1137, 1260, 970, 501, 546, 495, 476, 230, 180, 114, 0, 1425, 1181, 925, 771, 1092, 672, 524, 373, 507, 379, 222, 140, 0), # 89
(1422, 1282, 1149, 1272, 980, 507, 548, 500, 480, 235, 183, 115, 0, 1438, 1190, 941, 777, 1113, 675, 528, 374, 509, 385, 224, 140, 0), # 90
(1437, 1289, 1169, 1292, 987, 511, 552, 503, 485, 239, 185, 117, 0, 1459, 1207, 950, 784, 1123, 682, 535, 380, 512, 389, 227, 140, 0), # 91
(1454, 1302, 1180, 1304, 1006, 516, 557, 508, 495, 243, 186, 117, 0, 1472, 1227, 958, 791, 1147, 688, 542, 383, 518, 390, 231, 140, 0), # 92
(1473, 1320, 1194, 1317, 1019, 521, 562, 512, 503, 244, 187, 119, 0, 1484, 1242, 967, 795, 1166, 693, 544, 385, 524, 394, 234, 144, 0), # 93
(1490, 1329, 1210, 1329, 1036, 529, 568, 515, 510, 248, 189, 120, 0, 1499, 1256, 975, 802, 1179, 698, 549, 392, 533, 401, 235, 144, 0), # 94
(1501, 1338, 1229, 1345, 1047, 536, 572, 526, 518, 249, 194, 121, 0, 1511, 1269, 984, 808, 1186, 707, 554, 393, 537, 407, 240, 144, 0), # 95
(1517, 1344, 1241, 1362, 1059, 543, 575, 534, 522, 251, 194, 122, 0, 1532, 1286, 993, 815, 1200, 710, 561, 396, 541, 410, 240, 144, 0), # 96
(1541, 1353, 1254, 1372, 1068, 551, 578, 538, 526, 255, 196, 123, 0, 1549, 1302, 1005, 819, 1211, 712, 566, 400, 546, 419, 244, 144, 0), # 97
(1551, 1365, 1266, 1385, 1082, 556, 587, 543, 533, 258, 196, 124, 0, 1565, 1307, 1014, 826, 1223, 718, 571, 402, 552, 423, 246, 144, 0), # 98
(1558, 1376, 1284, 1395, 1090, 565, 593, 548, 538, 261, 198, 125, 0, 1580, 1319, 1026, 835, 1239, 722, 583, 403, 556, 428, 248, 144, 0), # 99
(1566, 1394, 1302, 1414, 1101, 570, 604, 556, 542, 262, 201, 128, 0, 1605, 1339, 1040, 841, 1253, 725, 587, 409, 565, 432, 251, 145, 0), # 100
(1581, 1405, 1314, 1430, 1107, 573, 607, 562, 545, 263, 203, 132, 0, 1624, 1353, 1052, 855, 1263, 732, 591, 416, 570, 435, 254, 145, 0), # 101
(1607, 1414, 1324, 1439, 1120, 585, 610, 567, 551, 267, 205, 133, 0, 1651, 1366, 1060, 864, 1275, 737, 598, 420, 576, 437, 255, 148, 0), # 102
(1625, 1432, 1339, 1448, 1128, 591, 617, 569, 557, 269, 207, 134, 0, 1665, 1376, 1071, 871, 1288, 751, 604, 423, 585, 442, 264, 150, 0), # 103
(1643, 1445, 1349, 1470, 1135, 594, 621, 574, 566, 272, 208, 135, 0, 1683, 1387, 1087, 873, 1296, 756, 611, 424, 593, 448, 268, 152, 0), # 104
(1659, 1459, 1360, 1485, 1145, 599, 622, 579, 569, 272, 208, 136, 0, 1699, 1403, 1093, 881, 1307, 765, 617, 431, 598, 451, 271, 152, 0), # 105
(1670, 1473, 1373, 1502, 1155, 604, 625, 584, 578, 275, 210, 136, 0, 1723, 1418, 1099, 892, 1317, 769, 624, 432, 601, 454, 278, 152, 0), # 106
(1689, 1485, 1386, 1512, 1166, 607, 628, 589, 582, 277, 210, 137, 0, 1740, 1430, 1100, 897, 1334, 776, 629, 435, 609, 459, 278, 152, 0), # 107
(1698, 1494, 1402, 1529, 1173, 613, 630, 589, 586, 279, 213, 138, 0, 1754, 1437, 1113, 905, 1349, 782, 636, 435, 616, 463, 283, 154, 0), # 108
(1718, 1500, 1411, 1545, 1177, 620, 634, 596, 592, 280, 215, 138, 0, 1775, 1453, 1119, 913, 1366, 786, 641, 436, 617, 465, 284, 162, 0), # 109
(1736, 1509, 1421, 1559, 1193, 629, 637, 602, 601, 281, 216, 140, 0, 1791, 1464, 1126, 917, 1374, 792, 648, 440, 628, 472, 286, 163, 0), # 110
(1752, 1519, 1433, 1569, 1203, 634, 639, 605, 611, 284, 216, 141, 0, 1805, 1473, 1138, 923, 1386, 799, 653, 446, 633, 476, 288, 165, 0), # 111
(1769, 1537, 1446, 1581, 1210, 638, 645, 611, 615, 286, 220, 141, 0, 1828, 1486, 1150, 928, 1398, 806, 653, 452, 640, 478, 293, 165, 0), # 112
(1779, 1548, 1456, 1596, 1221, 642, 649, 614, 625, 287, 221, 141, 0, 1844, 1500, 1158, 935, 1408, 813, 654, 457, 648, 483, 295, 169, 0), # 113
(1793, 1562, 1471, 1609, 1232, 651, 653, 616, 628, 288, 225, 143, 0, 1859, 1516, 1165, 945, 1418, 815, 659, 466, 653, 489, 296, 169, 0), # 114
(1811, 1575, 1484, 1617, 1251, 654, 654, 619, 632, 291, 229, 144, 0, 1871, 1526, 1171, 955, 1424, 818, 661, 471, 658, 493, 299, 169, 0), # 115
(1826, 1591, 1493, 1629, 1262, 658, 657, 621, 636, 295, 229, 145, 0, 1884, 1540, 1176, 963, 1436, 825, 664, 475, 666, 495, 304, 172, 0), # 116
(1841, 1605, 1504, 1644, 1273, 660, 660, 622, 641, 297, 232, 146, 0, 1892, 1547, 1185, 971, 1449, 830, 668, 479, 678, 499, 304, 172, 0), # 117
(1854, 1616, 1516, 1658, 1290, 663, 664, 624, 646, 301, 232, 147, 0, 1902, 1560, 1195, 978, 1463, 837, 670, 484, 684, 505, 308, 174, 0), # 118
(1868, 1621, 1525, 1671, 1298, 667, 667, 626, 649, 304, 233, 149, 0, 1921, 1575, 1202, 985, 1480, 840, 674, 488, 691, 510, 311, 176, 0), # 119
(1885, 1634, 1534, 1688, 1310, 669, 672, 628, 656, 307, 235, 152, 0, 1931, 1593, 1210, 994, 1489, 847, 679, 492, 698, 520, 311, 178, 0), # 120
(1898, 1645, 1545, 1701, 1322, 671, 675, 629, 662, 312, 235, 152, 0, 1944, 1605, 1214, 1007, 1495, 858, 681, 495, 703, 523, 313, 178, 0), # 121
(1913, 1657, 1559, 1712, 1334, 675, 679, 639, 666, 313, 242, 152, 0, 1964, 1617, 1224, 1012, 1507, 859, 685, 502, 711, 525, 316, 179, 0), # 122
(1934, 1671, 1572, 1723, 1344, 681, 685, 643, 676, 314, 243, 156, 0, 1975, 1629, 1237, 1015, 1521, 868, 687, 505, 717, 532, 320, 182, 0), # 123
(1944, 1680, 1585, 1731, 1358, 684, 692, 656, 680, 314, 243, 157, 0, 1987, 1642, 1253, 1022, 1539, 871, 694, 507, 724, 535, 320, 182, 0), # 124
(1954, 1690, 1594, 1743, 1371, 685, 698, 660, 686, 317, 247, 157, 0, 2002, 1656, 1266, 1030, 1551, 879, 695, 510, 733, 543, 323, 182, 0), # 125
(1968, 1703, 1609, 1753, 1377, 689, 701, 662, 693, 319, 249, 157, 0, 2020, 1666, 1276, 1034, 1569, 885, 698, 513, 739, 547, 324, 182, 0), # 126
(1984, 1713, 1625, 1761, 1388, 693, 702, 672, 698, 325, 251, 159, 0, 2034, 1678, 1286, 1050, 1577, 889, 705, 518, 749, 554, 326, 182, 0), # 127
(1987, 1724, 1638, 1776, 1395, 701, 704, 675, 701, 329, 251, 159, 0, 2053, 1694, 1292, 1056, 1591, 894, 710, 521, 758, 561, 327, 184, 0), # 128
(1995, 1736, 1650, 1787, 1402, 706, 707, 679, 703, 331, 253, 159, 0, 2074, 1700, 1297, 1061, 1609, 901, 712, 524, 761, 564, 330, 185, 0), # 129
(2012, 1744, 1664, 1797, 1407, 709, 713, 684, 708, 334, 255, 161, 0, 2084, 1716, 1305, 1066, 1626, 905, 717, 526, 768, 564, 331, 187, 0), # 130
(2027, 1747, 1680, 1812, 1424, 712, 717, 685, 710, 335, 255, 164, 0, 2096, 1722, 1307, 1068, 1636, 908, 724, 532, 774, 567, 334, 187, 0), # 131
(2036, 1758, 1690, 1824, 1434, 713, 723, 688, 719, 339, 256, 165, 0, 2109, 1738, 1316, 1075, 1646, 911, 729, 537, 778, 575, 335, 188, 0), # 132
(2048, 1771, 1700, 1845, 1439, 719, 727, 695, 725, 342, 258, 167, 0, 2122, 1750, 1322, 1086, 1657, 923, 734, 545, 779, 578, 336, 189, 0), # 133
(2062, 1781, 1713, 1861, 1447, 728, 729, 698, 731, 345, 259, 168, 0, 2140, 1759, 1332, 1090, 1674, 928, 735, 553, 785, 585, 340, 190, 0), # 134
(2071, 1786, 1725, 1868, 1457, 731, 734, 703, 733, 349, 260, 168, 0, 2152, 1765, 1342, 1098, 1687, 935, 738, 555, 790, 590, 341, 191, 0), # 135
(2086, 1793, 1736, 1879, 1471, 736, 739, 706, 736, 352, 261, 169, 0, 2160, 1775, 1348, 1104, 1700, 942, 745, 559, 794, 593, 345, 192, 0), # 136
(2094, 1805, 1748, 1888, 1486, 741, 743, 709, 737, 356, 262, 174, 0, 2178, 1794, 1359, 1113, 1712, 944, 750, 563, 799, 598, 347, 193, 0), # 137
(2108, 1811, 1761, 1901, 1497, 744, 746, 711, 741, 359, 262, 177, 0, 2194, 1807, 1364, 1117, 1722, 950, 753, 568, 802, 601, 352, 194, 0), # 138
(2124, 1821, 1777, 1910, 1502, 751, 748, 715, 752, 359, 265, 179, 0, 2207, 1823, 1372, 1123, 1726, 954, 757, 574, 809, 606, 356, 194, 0), # 139
(2141, 1829, 1788, 1925, 1511, 759, 755, 718, 760, 363, 267, 179, 0, 2221, 1836, 1382, 1130, 1739, 955, 764, 576, 812, 610, 361, 195, 0), # 140
(2153, 1842, 1794, 1943, 1520, 768, 758, 723, 766, 365, 268, 181, 0, 2237, 1847, 1389, 1140, 1750, 962, 770, 577, 818, 614, 362, 197, 0), # 141
(2170, 1850, 1817, 1949, 1530, 771, 758, 728, 769, 368, 271, 181, 0, 2254, 1855, 1401, 1147, 1758, 967, 777, 582, 820, 616, 365, 198, 0), # 142
(2180, 1857, 1828, 1961, 1539, 775, 766, 733, 774, 368, 273, 181, 0, 2265, 1864, 1406, 1152, 1769, 970, 785, 588, 826, 620, 367, 198, 0), # 143
(2189, 1872, 1840, 1976, 1546, 781, 772, 738, 776, 370, 275, 182, 0, 2279, 1871, 1412, 1160, 1783, 975, 788, 593, 837, 625, 368, 200, 0), # 144
(2205, 1879, 1846, 1987, 1558, 786, 777, 746, 779, 373, 276, 183, 0, 2292, 1885, 1418, 1167, 1801, 981, 791, 597, 842, 628, 370, 201, 0), # 145
(2219, 1894, 1866, 1996, 1575, 788, 780, 752, 783, 374, 276, 183, 0, 2307, 1895, 1426, 1172, 1808, 984, 796, 602, 845, 634, 370, 203, 0), # 146
(2235, 1903, 1874, 2007, 1595, 796, 782, 756, 789, 376, 279, 183, 0, 2318, 1905, 1434, 1174, 1819, 991, 798, 605, 846, 635, 372, 204, 0), # 147
(2244, 1912, 1883, 2018, 1606, 802, 784, 762, 793, 378, 279, 183, 0, 2333, 1917, 1440, 1176, 1829, 994, 799, 607, 851, 640, 374, 204, 0), # 148
(2261, 1917, 1893, 2029, 1612, 806, 790, 767, 799, 381, 280, 185, 0, 2343, 1930, 1449, 1182, 1842, 999, 805, 612, 855, 641, 377, 205, 0), # 149
(2277, 1925, 1909, 2040, 1624, 811, 793, 772, 803, 384, 283, 186, 0, 2360, 1934, 1458, 1193, 1850, 1006, 809, 615, 859, 644, 378, 205, 0), # 150
(2284, 1937, 1917, 2056, 1629, 814, 798, 776, 810, 386, 288, 187, 0, 2379, 1947, 1465, 1197, 1856, 1010, 812, 619, 862, 650, 380, 205, 0), # 151
(2295, 1939, 1934, 2062, 1638, 819, 800, 781, 813, 387, 289, 187, 0, 2391, 1959, 1470, 1202, 1864, 1012, 812, 621, 870, 652, 381, 206, 0), # 152
(2301, 1948, 1943, 2071, 1650, 827, 811, 785, 816, 391, 289, 189, 0, 2402, 1969, 1476, 1210, 1878, 1021, 814, 626, 875, 656, 383, 207, 0), # 153
(2310, 1955, 1954, 2084, 1655, 830, 814, 788, 820, 394, 291, 189, 0, 2410, 1976, 1485, 1219, 1891, 1028, 819, 632, 881, 662, 387, 208, 0), # 154
(2323, 1963, 1967, 2100, 1664, 830, 818, 796, 824, 394, 293, 189, 0, 2424, 1983, 1490, 1223, 1905, 1030, 822, 637, 883, 666, 388, 210, 0), # 155
(2338, 1970, 1978, 2106, 1671, 837, 823, 799, 830, 395, 295, 189, 0, 2439, 1988, 1496, 1228, 1913, 1030, 824, 637, 889, 667, 390, 210, 0), # 156
(2355, 1979, 1993, 2116, 1685, 841, 825, 802, 834, 395, 295, 190, 0, 2447, 2000, 1504, 1233, 1924, 1035, 828, 637, 893, 669, 392, 212, 0), # 157
(2372, 1988, 2001, 2131, 1696, 848, 828, 805, 843, 396, 295, 190, 0, 2460, 2014, 1509, 1237, 1934, 1039, 833, 642, 900, 672, 395, 212, 0), # 158
(2383, 1995, 2020, 2139, 1703, 851, 829, 808, 846, 397, 297, 191, 0, 2475, 2026, 1515, 1246, 1942, 1042, 836, 645, 905, 675, 399, 214, 0), # 159
(2400, 2000, 2031, 2155, 1709, 855, 834, 813, 850, 399, 297, 191, 0, 2488, 2038, 1523, 1252, 1955, 1046, 840, 647, 909, 678, 401, 216, 0), # 160
(2416, 2005, 2038, 2165, 1717, 860, 839, 816, 856, 403, 299, 191, 0, 2498, 2040, 1532, 1254, 1969, 1049, 843, 649, 914, 681, 402, 216, 0), # 161
(2428, 2016, 2047, 2176, 1728, 868, 840, 819, 863, 408, 300, 191, 0, 2509, 2046, 1537, 1264, 1975, 1054, 846, 652, 922, 686, 403, 216, 0), # 162
(2442, 2024, 2061, 2189, 1736, 874, 844, 827, 866, 412, 301, 192, 0, 2517, 2057, 1549, 1268, 1986, 1059, 855, 653, 928, 690, 405, 219, 0), # 163
(2452, 2031, 2069, 2196, 1749, 884, 847, 829, 871, 413, 302, 192, 0, 2533, 2067, 1556, 1272, 1995, 1062, 858, 656, 933, 692, 406, 219, 0), # 164
(2463, 2033, 2076, 2204, 1752, 888, 851, 831, 872, 418, 303, 194, 0, 2545, 2079, 1563, 1274, 2001, 1067, 868, 662, 939, 697, 408, 219, 0), # 165
(2473, 2044, 2085, 2213, 1759, 891, 856, 834, 878, 419, 303, 196, 0, 2556, 2090, 1569, 1277, 2006, 1072, 873, 664, 943, 700, 409, 219, 0), # 166
(2483, 2053, 2094, 2223, 1769, 895, 856, 837, 880, 420, 306, 197, 0, 2568, 2100, 1574, 1284, 2018, 1074, 877, 670, 945, 705, 409, 221, 0), # 167
(2494, 2059, 2105, 2237, 1775, 896, 862, 838, 886, 421, 307, 199, 0, 2580, 2107, 1579, 1286, 2032, 1077, 879, 672, 947, 712, 409, 221, 0), # 168
(2499, 2065, 2109, 2248, 1787, 899, 864, 843, 890, 422, 309, 200, 0, 2586, 2116, 1587, 1291, 2042, 1082, 880, 674, 950, 715, 411, 221, 0), # 169
(2507, 2069, 2115, 2253, 1797, 909, 866, 845, 894, 424, 310, 201, 0, 2601, 2126, 1599, 1294, 2050, 1086, 881, 679, 956, 718, 411, 221, 0), # 170
(2515, 2070, 2123, 2260, 1800, 913, 874, 848, 898, 425, 311, 203, 0, 2609, 2135, 1606, 1295, 2064, 1088, 885, 679, 960, 718, 411, 222, 0), # 171
(2519, 2074, 2127, 2272, 1807, 917, 881, 849, 903, 427, 311, 204, 0, 2621, 2141, 1614, 1299, 2071, 1092, 890, 679, 962, 720, 412, 222, 0), # 172
(2533, 2079, 2133, 2278, 1813, 918, 885, 852, 907, 428, 313, 205, 0, 2629, 2148, 1618, 1304, 2078, 1096, 894, 681, 965, 724, 414, 223, 0), # 173
(2545, 2084, 2142, 2286, 1821, 925, 888, 854, 911, 428, 314, 206, 0, 2637, 2158, 1622, 1307, 2087, 1098, 896, 681, 968, 727, 414, 223, 0), # 174
(2553, 2089, 2151, 2294, 1827, 929, 890, 857, 913, 431, 314, 206, 0, 2646, 2164, 1625, 1311, 2100, 1100, 896, 682, 974, 729, 416, 223, 0), # 175
(2562, 2091, 2158, 2303, 1834, 932, 892, 857, 915, 434, 314, 207, 0, 2650, 2170, 1629, 1315, 2103, 1104, 899, 683, 977, 732, 417, 223, 0), # 176
(2565, 2093, 2166, 2310, 1842, 933, 896, 861, 917, 437, 316, 207, 0, 2659, 2175, 1631, 1318, 2111, 1107, 900, 684, 977, 734, 418, 223, 0), # 177
(2572, 2097, 2172, 2320, 1849, 937, 897, 863, 920, 437, 316, 207, 0, 2667, 2178, 1637, 1321, 2117, 1107, 900, 684, 977, 738, 422, 223, 0), # 178
(2572, 2097, 2172, 2320, 1849, 937, 897, 863, 920, 437, 316, 207, 0, 2667, 2178, 1637, 1321, 2117, 1107, 900, 684, 977, 738, 422, 223, 0), # 179
)
passenger_arriving_rate = (
(8.033384925394829, 8.103756554216645, 6.9483776394833425, 7.45760132863612, 5.924997981450252, 2.9294112699015167, 3.3168284922991322, 3.102117448652949, 3.2480528331562706, 1.5832060062089484, 1.1214040437028276, 0.6530553437741565, 0.0, 8.134208340125381, 7.183608781515721, 5.607020218514138, 4.749618018626844, 6.496105666312541, 4.342964428114128, 3.3168284922991322, 2.0924366213582264, 2.962498990725126, 2.4858671095453735, 1.3896755278966686, 0.7367051412924223, 0.0), # 0
(8.566923443231959, 8.638755684745645, 7.407128788440204, 7.95017310393194, 6.317323026639185, 3.122918011773052, 3.535575153010955, 3.306342481937139, 3.462530840710885, 1.6875922769108604, 1.1954923029216353, 0.6961622214419141, 0.0, 8.671666635903767, 7.657784435861053, 5.9774615146081755, 5.06277683073258, 6.92506168142177, 4.628879474711995, 3.535575153010955, 2.230655722695037, 3.1586615133195926, 2.650057701310647, 1.4814257576880407, 0.7853414258859679, 0.0), # 1
(9.09875681436757, 9.171631583973436, 7.864056380729885, 8.440785245597754, 6.708227171999727, 3.3156527735449486, 3.7534548063685635, 3.5097501652696135, 3.676152963668026, 1.7915655100082188, 1.269286173007017, 0.7390976869404075, 0.0, 9.206983725135505, 8.13007455634448, 6.346430865035084, 5.374696530024655, 7.352305927336052, 4.913650231377459, 3.7534548063685635, 2.3683234096749635, 3.3541135859998636, 2.8135950818659183, 1.5728112761459772, 0.8337846894521307, 0.0), # 2
(9.6268124690345, 9.70027006950679, 8.317347825759807, 8.927491689038488, 7.096172454402028, 3.5068512477461056, 3.9696029133183646, 3.7115341049963386, 3.8880720858245827, 1.8947130793704727, 1.3424929098206355, 0.7816914246573948, 0.0, 9.738036490006762, 8.598605671231342, 6.712464549103178, 5.684139238111417, 7.7761441716491655, 5.196147746994874, 3.9696029133183646, 2.5048937483900753, 3.548086227201014, 2.97583056301283, 1.6634695651519613, 0.8818427335915264, 0.0), # 3
(10.149017837465571, 10.222556958952469, 8.765190532937382, 9.408346369659084, 7.479620910716259, 3.6957491269054237, 4.183154934806767, 3.910887907463277, 4.097441090977444, 1.996622358867072, 1.4148197692241535, 0.8237731189806353, 0.0, 10.262701812703709, 9.061504308786986, 7.074098846120767, 5.9898670766012145, 8.194882181954888, 5.475243070448588, 4.183154934806767, 2.6398208049324454, 3.7398104553581293, 3.136115456553029, 1.7530381065874767, 0.9293233599047701, 0.0), # 4
(10.663300349893618, 10.736378069917262, 9.205771911670025, 9.881403222864472, 7.8570345778125645, 3.8815821035518008, 4.393246331780179, 4.1070051790163955, 4.303412862923498, 2.096880722367466, 1.4859740070792353, 0.8651724542978865, 0.0, 10.778856575412524, 9.51689699727675, 7.429870035396177, 6.290642167102396, 8.606825725846996, 5.749807250622953, 4.393246331780179, 2.772558645394143, 3.9285172889062823, 3.2938010742881585, 1.841154382334005, 0.9760343699924785, 0.0), # 5
(11.167587436551466, 11.239619220007935, 9.637279371365155, 10.344716184059584, 8.226875492561113, 4.06358587021414, 4.59901256518501, 4.299079526001659, 4.5051402854596345, 2.195075543741104, 1.555662879247542, 0.9057191149969079, 0.0, 11.284377660319372, 9.962910264965986, 7.77831439623771, 6.5852266312233105, 9.010280570919269, 6.018711336402323, 4.59901256518501, 2.902561335867243, 4.113437746280557, 3.448238728019862, 1.9274558742730312, 1.021783565455267, 0.0), # 6
(11.65980652767195, 11.73016622683126, 10.05790032143018, 10.796339188649355, 8.587605691832056, 4.2409961194213395, 4.799589095967668, 4.486304554765035, 4.701776242382744, 2.2907941968574352, 1.6235936415907386, 0.9452427854654573, 0.0, 11.777141949610431, 10.397670640120028, 8.117968207953693, 6.872382590572304, 9.403552484765488, 6.280826376671049, 4.799589095967668, 3.029282942443814, 4.293802845916028, 3.598779729549786, 2.0115800642860364, 1.066378747893751, 0.0), # 7
(12.137885053487896, 12.205904907994013, 10.465822171272528, 11.234326172038713, 8.937687212495558, 4.413048543702297, 4.994111385074558, 4.667873871652484, 4.89247361748971, 2.3836240555859103, 1.6894735499704858, 0.9835731500912939, 0.0, 12.255026325471867, 10.81930465100423, 8.447367749852429, 7.150872166757729, 9.78494723497942, 6.535023420313477, 4.994111385074558, 3.152177531215927, 4.468843606247779, 3.744775390679572, 2.093164434254506, 1.1096277189085468, 0.0), # 8
(12.599750444232136, 12.664721081102966, 10.859232330299607, 11.656731069632603, 9.27558209142177, 4.578978835585919, 5.181714893452096, 4.842981083009976, 5.076385294577426, 2.4731524937959772, 1.7530098602484476, 1.0205398932621754, 0.0, 12.71590767008986, 11.225938825883926, 8.765049301242238, 7.41945748138793, 10.152770589154851, 6.780173516213966, 5.181714893452096, 3.270699168275656, 4.637791045710885, 3.8855770232108684, 2.1718464660599213, 1.1513382801002698, 0.0), # 9
(13.043330130137491, 13.104500563764889, 11.236318207918833, 12.061607816835945, 9.599752365480853, 4.7380226876011005, 5.361535082046684, 5.010819795183474, 5.252664157442781, 2.558966885357086, 1.8139098282862867, 1.0559726993658605, 0.0, 13.157662865650577, 11.615699693024464, 9.069549141431432, 7.676900656071258, 10.505328314885562, 7.015147713256865, 5.361535082046684, 3.3843019197150714, 4.799876182740427, 4.020535938945316, 2.247263641583767, 1.1913182330695355, 0.0), # 10
(13.466551541436809, 13.52312917358657, 11.595267213537621, 12.447010349053677, 9.908660071542968, 4.889415792276744, 5.532707411804733, 5.170583614518944, 5.420463089882663, 2.640654604138688, 1.8718807099456667, 1.0897012527901082, 0.0, 13.57816879434018, 11.986713780691188, 9.359403549728333, 7.921963812416063, 10.840926179765326, 7.238817060326522, 5.532707411804733, 3.4924398516262456, 4.954330035771484, 4.14900344968456, 2.3190534427075247, 1.229375379416961, 0.0), # 11
(13.8673421083629, 13.918492728174757, 11.934266756563387, 12.810992601690735, 10.200767246478268, 5.032393842141746, 5.694367343672649, 5.321466147362347, 5.578934975693962, 2.7178030240102293, 1.9266297610882495, 1.1215552379226759, 0.0, 13.975302338344855, 12.337107617149433, 9.633148805441246, 8.153409072030687, 11.157869951387925, 7.4500526063072865, 5.694367343672649, 3.5945670301012465, 5.100383623239134, 4.270330867230246, 2.3868533513126775, 1.26531752074316, 0.0), # 12
(14.243629261148602, 14.288477045136244, 12.251504246403549, 13.151608510152053, 10.474535927156907, 5.166192529725009, 5.845650338596845, 5.462661000059654, 5.727232698673564, 2.7899995188411624, 1.9778642375756985, 1.1513643391513229, 0.0, 14.346940379850777, 12.66500773066455, 9.889321187878492, 8.369998556523486, 11.454465397347128, 7.647725400083517, 5.845650338596845, 3.6901375212321494, 5.237267963578454, 4.383869503384019, 2.45030084928071, 1.2989524586487495, 0.0), # 13
(14.593340430026746, 14.630967942077797, 12.54516709246553, 13.466912009842552, 10.728428150449055, 5.2900475475554325, 5.9856918575237295, 5.593361778956831, 5.864509142618358, 2.856831462500934, 2.0252913952696763, 1.1789582408638082, 0.0, 14.690959801044102, 12.968540649501888, 10.12645697634838, 8.570494387502801, 11.729018285236716, 7.830706490539565, 5.9856918575237295, 3.778605391111023, 5.3642140752245275, 4.488970669947518, 2.509033418493106, 1.3300879947343454, 0.0), # 14
(14.914403045230168, 14.943851236606186, 12.813442704156724, 13.754957036167184, 10.960905953224861, 5.403194588161918, 6.1136273613997005, 5.7127620903998375, 5.989917191325237, 2.917886228858997, 2.0686184900318456, 1.2041666274478897, 0.0, 15.00523748411101, 13.245832901926784, 10.343092450159226, 8.753658686576989, 11.979834382650473, 7.997866926559773, 6.1136273613997005, 3.8594247058299413, 5.480452976612431, 4.584985678722395, 2.562688540831345, 1.3585319306005625, 0.0), # 15
(15.204744536991681, 15.225012746328195, 13.054518490884568, 14.013797524530858, 11.170431372354487, 5.504869344073363, 6.228592311171181, 5.820055540734641, 6.102609728591085, 2.972751191784799, 2.1075527777238703, 1.2268191832913256, 0.0, 15.287650311237673, 13.495011016204579, 10.53776388861935, 8.918253575354395, 12.20521945718217, 8.148077757028497, 6.228592311171181, 3.932049531480973, 5.585215686177244, 4.671265841510287, 2.6109036981769136, 1.384092067848018, 0.0), # 16
(15.46229233554412, 15.472338288850588, 13.266581862056471, 14.241487410338536, 11.355466444708094, 5.594307507818667, 6.329722167784569, 5.914435736307213, 6.201739638212791, 3.021013725147788, 2.141801514207413, 1.2467455927818742, 0.0, 15.536075164610265, 13.714201520600614, 10.709007571037066, 9.063041175443361, 12.403479276425582, 8.280210030830098, 6.329722167784569, 3.9959339341561906, 5.677733222354047, 4.747162470112846, 2.6533163724112945, 1.4065762080773265, 0.0), # 17
(15.684973871120327, 15.683713681780135, 13.447820227079841, 14.436080628995136, 11.514473207155827, 5.670744771926737, 6.416152392186281, 5.995096283463507, 6.286459803987251, 3.0622612028174157, 2.171071955344136, 1.2637755403072954, 0.0, 15.748388926414954, 13.901530943380248, 10.855359776720679, 9.186783608452245, 12.572919607974502, 8.39313479684891, 6.416152392186281, 4.050531979947669, 5.757236603577914, 4.812026876331712, 2.689564045415968, 1.4257921528891033, 0.0), # 18
(15.870716573953118, 15.857024742723624, 13.596420995362104, 14.59563111590558, 11.645913696567856, 5.733416828926462, 6.4870184453227155, 6.061230788549498, 6.355923109711349, 3.0960809986631324, 2.1950713569957014, 1.2777387102553464, 0.0, 15.922468478837914, 14.055125812808807, 10.975356784978505, 9.288242995989394, 12.711846219422698, 8.485723103969297, 6.4870184453227155, 4.095297734947473, 5.822956848283928, 4.865210371968527, 2.7192841990724212, 1.441547703883966, 0.0), # 19
(16.01744787427533, 15.990157289287811, 13.710571576310672, 14.718192806474825, 11.748249949814339, 5.781559371346751, 6.54145578814029, 6.112032857911145, 6.409282439181973, 3.1220604865543846, 2.213506975023774, 1.2884647870137858, 0.0, 16.05619070406532, 14.17311265715164, 11.067534875118868, 9.366181459663151, 12.818564878363945, 8.556846001075604, 6.54145578814029, 4.129685265247679, 5.874124974907169, 4.9060642688249425, 2.7421143152621346, 1.4536506626625285, 0.0), # 20
(16.123095202319785, 16.080997139079486, 13.78845937933296, 14.801819636107783, 11.819944003765428, 5.8144080917165, 6.578599881585408, 6.1466960978944165, 6.445690676196012, 3.139787040360623, 2.226086065290016, 1.2957834549703726, 0.0, 16.147432484283325, 14.253618004674097, 11.13043032645008, 9.419361121081867, 12.891381352392024, 8.605374537052183, 6.578599881585408, 4.153148636940357, 5.909972001882714, 4.933939878702596, 2.757691875866592, 1.461908830825408, 0.0), # 21
(16.18558598831933, 16.12743010970541, 13.82827181383638, 14.844565540209405, 11.85945789529128, 5.83119868256461, 6.59758618660448, 6.164414114845277, 6.464300704550355, 3.148848033951298, 2.232515883656091, 1.2995243985128655, 0.0, 16.194070701678125, 14.294768383641518, 11.162579418280455, 9.446544101853892, 12.92860140910071, 8.630179760783388, 6.59758618660448, 4.1651419161175784, 5.92972894764564, 4.948188513403136, 2.7656543627672763, 1.4661300099732195, 0.0), # 22
(16.208629381348224, 16.132927937814358, 13.83323090992227, 14.849916975308645, 11.869580859768103, 5.833333333333334, 6.599843201807471, 6.166329218106997, 6.466627325102881, 3.149916909007774, 2.233322143243131, 1.2999863435451913, 0.0, 16.2, 14.299849778997103, 11.166610716215654, 9.44975072702332, 12.933254650205763, 8.632860905349796, 6.599843201807471, 4.166666666666667, 5.9347904298840515, 4.949972325102882, 2.7666461819844543, 1.4666298125285782, 0.0), # 23
(16.225619860854646, 16.12972098765432, 13.832419753086421, 14.849258333333335, 11.875314787855842, 5.833333333333334, 6.598603050108934, 6.163666666666667, 6.466315555555555, 3.149260246913581, 2.2332332210998884, 1.2998781893004117, 0.0, 16.2, 14.298660082304526, 11.166166105499443, 9.44778074074074, 12.93263111111111, 8.629133333333334, 6.598603050108934, 4.166666666666667, 5.937657393927921, 4.949752777777779, 2.7664839506172845, 1.4663382716049385, 0.0), # 24
(16.242251568338528, 16.1233996342021, 13.830818472793784, 14.847955246913582, 11.880922608634137, 5.833333333333334, 6.596159122085048, 6.158436213991771, 6.465699588477367, 3.1479675354366723, 2.233056906513697, 1.2996646852613931, 0.0, 16.2, 14.296311537875322, 11.165284532568485, 9.443902606310015, 12.931399176954734, 8.62181069958848, 6.596159122085048, 4.166666666666667, 5.940461304317068, 4.949318415637862, 2.766163694558757, 1.4657636031092822, 0.0), # 25
(16.258523230476854, 16.114060448102425, 13.828449016918157, 14.846022530864197, 11.886404126315846, 5.833333333333334, 6.592549374646977, 6.150736625514405, 6.46478732510288, 3.146060283493371, 2.2327947956935614, 1.2993487578113097, 0.0, 16.2, 14.292836335924404, 11.163973978467807, 9.43818085048011, 12.92957465020576, 8.611031275720167, 6.592549374646977, 4.166666666666667, 5.943202063157923, 4.948674176954733, 2.7656898033836312, 1.46491458619113, 0.0), # 26
(16.27443357394662, 16.1018, 13.825333333333333, 14.843475, 11.891759145113827, 5.833333333333334, 6.587811764705883, 6.140666666666667, 6.463586666666666, 3.143560000000001, 2.232448484848485, 1.2989333333333337, 0.0, 16.2, 14.288266666666669, 11.162242424242425, 9.430679999999999, 12.927173333333332, 8.596933333333334, 6.587811764705883, 4.166666666666667, 5.945879572556914, 4.947825000000001, 2.765066666666667, 1.4638000000000002, 0.0), # 27
(16.2899813254248, 16.08671486053955, 13.821493369913123, 14.840327469135804, 11.896987469240962, 5.833333333333334, 6.581984249172921, 6.12832510288066, 6.462105514403292, 3.140488193872886, 2.232019570187472, 1.2984213382106389, 0.0, 16.2, 14.282634720317025, 11.160097850937358, 9.421464581618656, 12.924211028806583, 8.579655144032923, 6.581984249172921, 4.166666666666667, 5.948493734620481, 4.946775823045269, 2.764298673982625, 1.462428623685414, 0.0), # 28
(16.3051652115884, 16.0689016003658, 13.816951074531323, 14.83659475308642, 11.902088902910101, 5.833333333333334, 6.575104784959253, 6.113810699588477, 6.460351769547325, 3.1368663740283504, 2.2315096479195247, 1.2978156988263985, 0.0, 16.2, 14.27597268709038, 11.157548239597624, 9.41059912208505, 12.92070353909465, 8.559334979423868, 6.575104784959253, 4.166666666666667, 5.951044451455051, 4.945531584362141, 2.763390214906265, 1.460809236396891, 0.0), # 29
(16.319983959114396, 16.04845679012346, 13.811728395061728, 14.832291666666666, 11.907063250334119, 5.833333333333334, 6.567211328976035, 6.097222222222222, 6.458333333333333, 3.1327160493827173, 2.230920314253648, 1.297119341563786, 0.0, 16.2, 14.268312757201645, 11.15460157126824, 9.398148148148149, 12.916666666666666, 8.536111111111111, 6.567211328976035, 4.166666666666667, 5.953531625167059, 4.944097222222223, 2.7623456790123457, 1.458950617283951, 0.0), # 30
(16.334436294679772, 16.02547700045725, 13.805847279378145, 14.82743302469136, 11.911910315725876, 5.833333333333334, 6.558341838134432, 6.078658436213992, 6.456058106995885, 3.1280587288523103, 2.2302531653988447, 1.296335192805975, 0.0, 16.2, 14.259687120865724, 11.151265826994223, 9.384176186556928, 12.91211621399177, 8.510121810699589, 6.558341838134432, 4.166666666666667, 5.955955157862938, 4.942477674897121, 2.761169455875629, 1.4568615454961138, 0.0), # 31
(16.34852094496153, 16.00005880201189, 13.799329675354366, 14.82203364197531, 11.916629903298237, 5.833333333333334, 6.548534269345599, 6.058218106995886, 6.453533991769548, 3.1229159213534534, 2.229509797564119, 1.2954661789361381, 0.0, 16.2, 14.250127968297518, 11.147548987820594, 9.368747764060357, 12.907067983539095, 8.48150534979424, 6.548534269345599, 4.166666666666667, 5.958314951649118, 4.940677880658438, 2.759865935070873, 1.4545508001828993, 0.0), # 32
(16.362236636636634, 15.972298765432097, 13.792197530864199, 14.816108333333332, 11.921221817264065, 5.833333333333334, 6.537826579520697, 6.0360000000000005, 6.450768888888889, 3.1173091358024703, 2.228691806958474, 1.2945152263374486, 0.0, 16.2, 14.239667489711932, 11.143459034792368, 9.351927407407409, 12.901537777777778, 8.450400000000002, 6.537826579520697, 4.166666666666667, 5.960610908632033, 4.938702777777778, 2.75843950617284, 1.452027160493827, 0.0), # 33
(16.375582096382097, 15.942293461362596, 13.784472793781436, 14.809671913580248, 11.92568586183623, 5.833333333333334, 6.526256725570888, 6.012102880658436, 6.447770699588479, 3.111259881115685, 2.2278007897909133, 1.2934852613930805, 0.0, 16.2, 14.228337875323884, 11.139003948954567, 9.333779643347052, 12.895541399176958, 8.41694403292181, 6.526256725570888, 4.166666666666667, 5.962842930918115, 4.93655730452675, 2.7568945587562874, 1.449299405578418, 0.0), # 34
(16.388556050874893, 15.9101394604481, 13.776177411979882, 14.802739197530864, 11.930021841227594, 5.833333333333334, 6.513862664407327, 5.986625514403293, 6.4445473251028815, 3.1047896662094203, 2.226838342270441, 1.2923792104862066, 0.0, 16.2, 14.216171315348271, 11.134191711352205, 9.314368998628257, 12.889094650205763, 8.381275720164611, 6.513862664407327, 4.166666666666667, 5.965010920613797, 4.934246399176955, 2.755235482395977, 1.4463763145861912, 0.0), # 35
(16.40115722679201, 15.87593333333333, 13.767333333333335, 14.795325, 11.934229559651024, 5.833333333333334, 6.500682352941176, 5.959666666666668, 6.441106666666666, 3.097920000000001, 2.225806060606061, 1.2912000000000003, 0.0, 16.2, 14.203200000000002, 11.129030303030303, 9.29376, 12.882213333333333, 8.343533333333335, 6.500682352941176, 4.166666666666667, 5.967114779825512, 4.931775000000001, 2.753466666666667, 1.4432666666666667, 0.0), # 36
(16.41338435081044, 15.839771650663007, 13.757962505715593, 14.78744413580247, 11.938308821319383, 5.833333333333334, 6.486753748083595, 5.931325102880659, 6.437456625514404, 3.090672391403751, 2.2247055410067764, 1.2899505563176348, 0.0, 16.2, 14.18945611949398, 11.123527705033881, 9.27201717421125, 12.874913251028808, 8.303855144032923, 6.486753748083595, 4.166666666666667, 5.969154410659692, 4.929148045267491, 2.751592501143119, 1.4399792409693644, 0.0), # 37
(16.425236149607162, 15.801750983081849, 13.748086877000459, 14.77911141975309, 11.942259430445535, 5.833333333333334, 6.4721148067457435, 5.901699588477367, 6.433605102880659, 3.0830683493369926, 2.22353837968159, 1.2886338058222835, 0.0, 16.2, 14.174971864045116, 11.11769189840795, 9.249205048010975, 12.867210205761317, 8.262379423868314, 6.4721148067457435, 4.166666666666667, 5.971129715222768, 4.926370473251031, 2.7496173754000917, 1.4365228166438047, 0.0), # 38
(16.436711349859177, 15.761967901234568, 13.737728395061731, 14.770341666666667, 11.94608119124235, 5.833333333333334, 6.456803485838781, 5.8708888888888895, 6.42956, 3.0751293827160504, 2.2223061728395064, 1.2872526748971194, 0.0, 16.2, 14.159779423868311, 11.111530864197531, 9.225388148148149, 12.85912, 8.219244444444445, 6.456803485838781, 4.166666666666667, 5.973040595621175, 4.923447222222223, 2.7475456790123465, 1.4329061728395065, 0.0), # 39
(16.44780867824346, 15.720518975765888, 13.726909007773205, 14.761149691358025, 11.949773907922687, 5.833333333333334, 6.440857742273865, 5.838991769547327, 6.425329218106996, 3.0668770004572488, 2.2210105166895295, 1.2858100899253166, 0.0, 16.2, 14.143910989178481, 11.105052583447646, 9.200631001371743, 12.850658436213992, 8.174588477366258, 6.440857742273865, 4.166666666666667, 5.974886953961343, 4.920383230452676, 2.745381801554641, 1.42913808870599, 0.0), # 40
(16.458526861437004, 15.677500777320528, 13.71565066300869, 14.751550308641978, 11.953337384699417, 5.833333333333334, 6.424315532962156, 5.806106995884774, 6.420920658436214, 3.05833271147691, 2.2196530074406624, 1.2843089772900476, 0.0, 16.2, 14.12739875019052, 11.09826503720331, 9.174998134430727, 12.841841316872427, 8.128549794238685, 6.424315532962156, 4.166666666666667, 5.976668692349708, 4.9171834362139935, 2.743130132601738, 1.4252273433927756, 0.0), # 41
(16.4688646261168, 15.633009876543213, 13.70397530864198, 14.741558333333336, 11.956771425785394, 5.833333333333334, 6.4072148148148145, 5.772333333333334, 6.416342222222223, 3.049518024691359, 2.2182352413019086, 1.282752263374486, 0.0, 16.2, 14.110274897119341, 11.091176206509541, 9.148554074074074, 12.832684444444446, 8.081266666666668, 6.4072148148148145, 4.166666666666667, 5.978385712892697, 4.913852777777779, 2.740795061728396, 1.421182716049383, 0.0), # 42
(16.47882069895983, 15.587142844078647, 13.69190489254687, 14.731188580246915, 11.960075835393496, 5.833333333333334, 6.389593544743001, 5.737769547325104, 6.4116018106995885, 3.040454449016919, 2.2167588144822714, 1.281142874561805, 0.0, 16.2, 14.092571620179852, 11.083794072411356, 9.121363347050755, 12.823203621399177, 8.032877366255146, 6.389593544743001, 4.166666666666667, 5.980037917696748, 4.9103961934156395, 2.738380978509374, 1.4170129858253318, 0.0), # 43
(16.488393806643085, 15.539996250571559, 13.679461362597166, 14.720455864197532, 11.963250417736582, 5.833333333333334, 6.371489679657872, 5.702514403292183, 6.4067073251028805, 3.031163493369914, 2.2152253231907557, 1.279483737235178, 0.0, 16.2, 14.074321109586954, 11.076126615953777, 9.09349048010974, 12.813414650205761, 7.983520164609057, 6.371489679657872, 4.166666666666667, 5.981625208868291, 4.906818621399179, 2.7358922725194335, 1.4127269318701419, 0.0), # 44
(16.497582675843546, 15.491666666666667, 13.66666666666667, 14.709375000000001, 11.966294977027516, 5.833333333333334, 6.352941176470589, 5.666666666666668, 6.4016666666666655, 3.021666666666668, 2.213636363636364, 1.277777777777778, 0.0, 16.2, 14.055555555555554, 11.068181818181818, 9.065000000000001, 12.803333333333331, 7.9333333333333345, 6.352941176470589, 4.166666666666667, 5.983147488513758, 4.903125000000001, 2.733333333333334, 1.4083333333333337, 0.0), # 45
(16.50638603323821, 15.442250663008686, 13.653542752629173, 14.697960802469137, 11.969209317479164, 5.833333333333334, 6.333985992092311, 5.63032510288066, 6.396487736625514, 3.0119854778235036, 2.2119935320281, 1.2760279225727789, 0.0, 16.2, 14.036307148300564, 11.059967660140499, 9.035956433470508, 12.792975473251028, 7.882455144032924, 6.333985992092311, 4.166666666666667, 5.984604658739582, 4.899320267489713, 2.730708550525835, 1.4038409693644263, 0.0), # 46
(16.514802605504055, 15.391844810242342, 13.640111568358483, 14.686228086419753, 11.971993243304391, 5.833333333333334, 6.3146620834341975, 5.593588477366255, 6.391178436213992, 3.0021414357567453, 2.210298424574968, 1.2742370980033535, 0.0, 16.2, 14.016608078036885, 11.051492122874839, 9.006424307270233, 12.782356872427984, 7.831023868312758, 6.3146620834341975, 4.166666666666667, 5.985996621652196, 4.895409362139919, 2.728022313671697, 1.3992586191129404, 0.0), # 47
(16.522831119318074, 15.340545679012347, 13.626395061728397, 14.674191666666669, 11.974646558716064, 5.833333333333334, 6.295007407407407, 5.556555555555557, 6.385746666666667, 2.9921560493827166, 2.208552637485971, 1.272408230452675, 0.0, 16.2, 13.996490534979422, 11.042763187429854, 8.976468148148149, 12.771493333333334, 7.77917777777778, 6.295007407407407, 4.166666666666667, 5.987323279358032, 4.891397222222224, 2.7252790123456796, 1.3945950617283953, 0.0), # 48
(16.53047030135726, 15.288449839963418, 13.612415180612713, 14.661866358024692, 11.977169067927047, 5.833333333333334, 6.275059920923102, 5.519325102880659, 6.380200329218106, 2.982050827617742, 2.2067577669701133, 1.2705442463039174, 0.0, 16.2, 13.97598670934309, 11.033788834850565, 8.946152482853226, 12.760400658436213, 7.727055144032923, 6.275059920923102, 4.166666666666667, 5.9885845339635235, 4.887288786008232, 2.7224830361225427, 1.389859076360311, 0.0), # 49
(16.537718878298588, 15.235653863740286, 13.598193872885233, 14.649266975308642, 11.979560575150202, 5.833333333333334, 6.25485758089244, 5.481995884773663, 6.3745473251028795, 2.971847279378144, 2.204915409236397, 1.2686480719402533, 0.0, 16.2, 13.955128791342785, 11.024577046181985, 8.91554183813443, 12.749094650205759, 7.674794238683129, 6.25485758089244, 4.166666666666667, 5.989780287575101, 4.883088991769548, 2.7196387745770467, 1.385059442158208, 0.0), # 50
(16.544575576819057, 15.182254320987655, 13.583753086419755, 14.636408333333335, 11.981820884598399, 5.833333333333334, 6.23443834422658, 5.4446666666666665, 6.368795555555556, 2.9615669135802474, 2.2030271604938276, 1.2667226337448563, 0.0, 16.2, 13.933948971193416, 11.015135802469137, 8.88470074074074, 12.737591111111112, 7.622533333333334, 6.23443834422658, 4.166666666666667, 5.9909104422991994, 4.878802777777779, 2.716750617283951, 1.380204938271605, 0.0), # 51
(16.551039123595647, 15.128347782350252, 13.56911476909008, 14.623305246913581, 11.983949800484496, 5.833333333333334, 6.213840167836683, 5.407436213991769, 6.3629529218107, 2.9512312391403754, 2.2010946169514076, 1.2647708581008996, 0.0, 16.2, 13.912479439109894, 11.005473084757037, 8.853693717421125, 12.7259058436214, 7.570410699588477, 6.213840167836683, 4.166666666666667, 5.991974900242248, 4.874435082304528, 2.713822953818016, 1.3753043438500232, 0.0), # 52
(16.55710824530535, 15.074030818472796, 13.554300868770008, 14.609972530864198, 11.985947127021364, 5.833333333333334, 6.1931010086339064, 5.370403292181071, 6.357027325102881, 2.940861764974852, 2.1991193748181406, 1.2627956713915565, 0.0, 16.2, 13.890752385307119, 10.995596874090701, 8.822585294924554, 12.714054650205762, 7.518564609053499, 6.1931010086339064, 4.166666666666667, 5.992973563510682, 4.8699908436214, 2.710860173754002, 1.3703664380429816, 0.0), # 53
(16.562781668625146, 15.019400000000001, 13.539333333333333, 14.596425, 11.987812668421869, 5.833333333333334, 6.172258823529412, 5.333666666666667, 6.351026666666667, 2.9304800000000006, 2.19710303030303, 1.2608000000000001, 0.0, 16.2, 13.8688, 10.98551515151515, 8.791440000000001, 12.702053333333334, 7.467133333333333, 6.172258823529412, 4.166666666666667, 5.993906334210934, 4.865475000000001, 2.707866666666667, 1.3654000000000004, 0.0), # 54
(16.568058120232035, 14.964551897576587, 13.524234110653865, 14.582677469135803, 11.989546228898869, 5.833333333333334, 6.151351569434358, 5.2973251028806585, 6.344958847736625, 2.9201074531321454, 2.1950471796150812, 1.2587867703094042, 0.0, 16.2, 13.846654473403445, 10.975235898075404, 8.760322359396435, 12.68991769547325, 7.416255144032922, 6.151351569434358, 4.166666666666667, 5.994773114449434, 4.860892489711935, 2.704846822130773, 1.360413808870599, 0.0), # 55
(16.572936326802996, 14.909583081847279, 13.509025148605396, 14.56874475308642, 11.991147612665237, 5.833333333333334, 6.130417203259905, 5.261477366255145, 6.338831769547324, 2.9097656332876096, 2.1929534189632958, 1.2567589087029418, 0.0, 16.2, 13.824347995732358, 10.964767094816478, 8.729296899862828, 12.677663539094649, 7.366068312757203, 6.130417203259905, 4.166666666666667, 5.995573806332619, 4.856248251028807, 2.7018050297210796, 1.3554166438042983, 0.0), # 56
(16.577415015015013, 14.85459012345679, 13.493728395061732, 14.554641666666669, 11.99261662393383, 5.833333333333334, 6.109493681917211, 5.226222222222224, 6.332653333333334, 2.899476049382717, 2.1908233445566783, 1.254719341563786, 0.0, 16.2, 13.801912757201645, 10.95411672278339, 8.69842814814815, 12.665306666666668, 7.316711111111113, 6.109493681917211, 4.166666666666667, 5.996308311966915, 4.851547222222224, 2.6987456790123465, 1.3504172839506174, 0.0), # 57
(16.581492911545087, 14.79966959304984, 13.478365797896664, 14.540383024691359, 11.99395306691752, 5.833333333333334, 6.088618962317438, 5.191658436213992, 6.326431440329218, 2.8892602103337914, 2.1886585526042324, 1.2526709952751107, 0.0, 16.2, 13.779380948026215, 10.943292763021162, 8.667780631001373, 12.652862880658436, 7.2683218106995895, 6.088618962317438, 4.166666666666667, 5.99697653345876, 4.846794341563787, 2.695673159579333, 1.3454245084590766, 0.0), # 58
(16.585168743070195, 14.744918061271147, 13.462959304983997, 14.525983641975309, 11.995156745829167, 5.833333333333334, 6.067831001371743, 5.157884773662552, 6.320173991769548, 2.879139625057157, 2.1864606393149604, 1.2506167962200887, 0.0, 16.2, 13.756784758420972, 10.9323031965748, 8.63741887517147, 12.640347983539096, 7.221038683127573, 6.067831001371743, 4.166666666666667, 5.9975783729145835, 4.841994547325104, 2.6925918609968, 1.3404470964791952, 0.0), # 59
(16.588441236267325, 14.690432098765434, 13.44753086419753, 14.511458333333334, 11.996227464881638, 5.833333333333334, 6.0471677559912855, 5.125000000000001, 6.31388888888889, 2.8691358024691365, 2.184231200897868, 1.2485596707818931, 0.0, 16.2, 13.734156378600822, 10.921156004489339, 8.607407407407408, 12.62777777777778, 7.175000000000001, 6.0471677559912855, 4.166666666666667, 5.998113732440819, 4.837152777777779, 2.6895061728395064, 1.3354938271604941, 0.0), # 60
(16.591309117813463, 14.636308276177413, 13.432102423411067, 14.496821913580249, 11.997165028287798, 5.833333333333334, 6.026667183087227, 5.093102880658437, 6.3075840329218105, 2.8592702514860546, 2.1819718335619576, 1.246502545343698, 0.0, 16.2, 13.711527998780674, 10.909859167809786, 8.577810754458163, 12.615168065843621, 7.130344032921811, 6.026667183087227, 4.166666666666667, 5.998582514143899, 4.832273971193417, 2.6864204846822135, 1.3305734796524924, 0.0), # 61
(16.593771114385607, 14.582643164151806, 13.416695930498403, 14.482089197530867, 11.997969240260517, 5.833333333333334, 6.006367239570725, 5.062292181069959, 6.301267325102881, 2.849564481024235, 2.1796841335162327, 1.2444483462886757, 0.0, 16.2, 13.68893180917543, 10.898420667581162, 8.548693443072704, 12.602534650205762, 7.0872090534979435, 6.006367239570725, 4.166666666666667, 5.998984620130258, 4.827363065843623, 2.6833391860996807, 1.3256948331047098, 0.0), # 62
(16.595825952660736, 14.529533333333333, 13.401333333333335, 14.467275000000003, 11.998639905012647, 5.833333333333334, 5.986305882352941, 5.0326666666666675, 6.294946666666666, 2.8400400000000006, 2.1773696969696976, 1.2424000000000002, 0.0, 16.2, 13.6664, 10.886848484848487, 8.52012, 12.589893333333332, 7.045733333333335, 5.986305882352941, 4.166666666666667, 5.999319952506323, 4.822425000000002, 2.6802666666666672, 1.3208666666666669, 0.0), # 63
(16.597472359315837, 14.477075354366713, 13.386036579789668, 14.452394135802471, 11.999176826757065, 5.833333333333334, 5.966521068345034, 5.004325102880659, 6.288629958847737, 2.830718317329676, 2.1750301201313547, 1.2403604328608446, 0.0, 16.2, 13.64396476146929, 10.875150600656774, 8.492154951989026, 12.577259917695473, 7.006055144032923, 5.966521068345034, 4.166666666666667, 5.999588413378532, 4.817464711934158, 2.6772073159579337, 1.316097759487883, 0.0), # 64
(16.5987090610279, 14.425365797896662, 13.370827617741199, 14.437461419753088, 11.999579809706631, 5.833333333333334, 5.947050754458163, 4.977366255144033, 6.282325102880659, 2.8216209419295843, 2.1726669992102097, 1.238332571254382, 0.0, 16.2, 13.6216582837982, 10.863334996051048, 8.464862825788751, 12.564650205761318, 6.968312757201646, 5.947050754458163, 4.166666666666667, 5.999789904853316, 4.812487139917697, 2.67416552354824, 1.3113968907178786, 0.0), # 65
(16.599534784473914, 14.374501234567903, 13.35572839506173, 14.422491666666668, 11.99984865807421, 5.833333333333334, 5.927932897603486, 4.95188888888889, 6.27604, 2.81276938271605, 2.170281930415264, 1.2363193415637863, 0.0, 16.2, 13.599512757201648, 10.851409652076319, 8.438308148148149, 12.55208, 6.932644444444446, 5.927932897603486, 4.166666666666667, 5.999924329037105, 4.807497222222223, 2.6711456790123465, 1.3067728395061733, 0.0), # 66
(16.59994825633087, 14.324578235025148, 13.340760859625059, 14.407499691358025, 11.999983176072671, 5.833333333333334, 5.909205454692165, 4.927991769547327, 6.269782551440329, 2.8041851486053964, 2.1678765099555233, 1.23432367017223, 0.0, 16.2, 13.577560371894528, 10.839382549777614, 8.412555445816189, 12.539565102880658, 6.899188477366257, 5.909205454692165, 4.166666666666667, 5.999991588036336, 4.802499897119342, 2.6681521719250116, 1.3022343850022864, 0.0), # 67
(16.59966658316932, 14.275431337669806, 13.325874599908552, 14.39237008856683, 11.999869818983834, 5.833225077478026, 5.890812155863717, 4.905562566681908, 6.263513519280598, 2.795848176658867, 2.1654095969441007, 1.2323373362532992, 0.0, 16.19980024005487, 13.555710698786289, 10.827047984720503, 8.3875445299766, 12.527027038561195, 6.867787593354672, 5.890812155863717, 4.166589341055733, 5.999934909491917, 4.797456696188944, 2.6651749199817103, 1.29776648524271, 0.0), # 68
(16.597026731078905, 14.22556009557945, 13.310651234567901, 14.376340217391304, 11.998838053740013, 5.832369272976682, 5.872214545077291, 4.8833991769547325, 6.256958847736625, 2.7875225562817723, 2.162630090377459, 1.2302958631145768, 0.0, 16.198217592592595, 13.533254494260342, 10.813150451887294, 8.362567668845315, 12.51391769547325, 6.8367588477366255, 5.872214545077291, 4.165978052126201, 5.999419026870006, 4.792113405797102, 2.66213024691358, 1.2932327359617684, 0.0), # 69
(16.59181726009423, 14.174735607770254, 13.295024577046181, 14.359304549114333, 11.996799268404205, 5.8306838388457045, 5.853328107649096, 4.861301630848957, 6.2500815424477985, 2.7791678097850943, 2.159506369740288, 1.228189701505708, 0.0, 16.195091735253776, 13.510086716562785, 10.797531848701441, 8.337503429355282, 12.500163084895597, 6.80582228318854, 5.853328107649096, 4.164774170604074, 5.998399634202102, 4.786434849704778, 2.6590049154092363, 1.2886123279791142, 0.0), # 70
(16.584111457028687, 14.122988247267578, 13.279000114311843, 14.341288204508857, 11.993779284004411, 5.828196087994717, 5.8341613276311906, 4.8392772443225125, 6.242891845755221, 2.7707841437370564, 2.1560499655423633, 1.226020391628362, 0.0, 16.190463820301783, 13.486224307911982, 10.780249827711817, 8.312352431211167, 12.485783691510441, 6.774988142051518, 5.8341613276311906, 4.162997205710512, 5.9968896420022055, 4.780429401502953, 2.6558000228623686, 1.2839080224788708, 0.0), # 71
(16.573982608695655, 14.070348387096773, 13.262583333333334, 14.322316304347826, 11.989803921568626, 5.824933333333335, 5.81472268907563, 4.817333333333334, 6.2354, 2.762371764705883, 2.1522724082934617, 1.2237894736842108, 0.0, 16.184375, 13.461684210526316, 10.761362041467306, 8.287115294117648, 12.4708, 6.744266666666667, 5.81472268907563, 4.160666666666668, 5.994901960784313, 4.7741054347826095, 2.6525166666666666, 1.2791225806451614, 0.0), # 72
(16.561504001908514, 14.016846400283198, 13.245779721079103, 14.302413969404189, 11.984899002124855, 5.820922887771173, 5.795020676034474, 4.795477213839354, 6.227616247523244, 2.753930879259798, 2.1481852285033574, 1.2214984878749227, 0.0, 16.1768664266118, 13.436483366624147, 10.740926142516786, 8.261792637779392, 12.455232495046488, 6.713668099375096, 5.795020676034474, 4.157802062693695, 5.992449501062428, 4.76747132313473, 2.649155944215821, 1.274258763662109, 0.0), # 73
(16.546748923480646, 13.962512659852205, 13.228594764517604, 14.281606320450884, 11.979090346701094, 5.816192064217854, 5.775063772559778, 4.773716201798507, 6.219550830666057, 2.7454616939670253, 2.143799956681829, 1.219148974402169, 0.0, 16.167979252400553, 13.410638718423858, 10.718999783409142, 8.236385081901075, 12.439101661332113, 6.683202682517909, 5.775063772559778, 4.154422903012753, 5.989545173350547, 4.760535440150296, 2.645718952903521, 1.269319332713837, 0.0), # 74
(16.52979066022544, 13.90737753882915, 13.211033950617283, 14.259918478260868, 11.972403776325345, 5.810768175582992, 5.754860462703601, 4.752057613168724, 6.211213991769547, 2.7369644153957884, 2.13912812333865, 1.2167424734676198, 0.0, 16.157754629629633, 13.384167208143815, 10.695640616693249, 8.210893246187364, 12.422427983539094, 6.652880658436215, 5.754860462703601, 4.150548696844995, 5.986201888162673, 4.7533061594202906, 2.6422067901234567, 1.2643070489844683, 0.0), # 75
(16.510702498956285, 13.851471410239393, 13.193102766346595, 14.237375563607085, 11.964865112025606, 5.804678534776205, 5.734419230517997, 4.730508763907942, 6.2026159731748205, 2.728439250114312, 2.134181258983598, 1.2142805252729445, 0.0, 16.146233710562413, 13.357085778002387, 10.67090629491799, 8.185317750342936, 12.405231946349641, 6.622712269471118, 5.734419230517997, 4.146198953411575, 5.982432556012803, 4.745791854535696, 2.638620553269319, 1.259224673658127, 0.0), # 76
(16.48955772648655, 13.794824647108282, 13.174806698673981, 14.21400269726248, 11.956500174829877, 5.797950454707109, 5.7137485600550235, 4.70907696997409, 6.193767017222985, 2.7198864046908207, 2.1289708941264505, 1.2117646700198144, 0.0, 16.13345764746228, 13.329411370217956, 10.64485447063225, 8.15965921407246, 12.38753403444597, 6.592707757963726, 5.7137485600550235, 4.141393181933649, 5.9782500874149385, 4.738000899087494, 2.6349613397347964, 1.254074967918935, 0.0), # 77
(16.46642962962963, 13.737467622461173, 13.156151234567902, 14.189825, 11.94733478576616, 5.790611248285322, 5.69285693536674, 4.687769547325104, 6.184677366255142, 2.711306085693537, 2.123508559276981, 1.2091964479098987, 0.0, 16.119467592592596, 13.301160927008882, 10.617542796384903, 8.13391825708061, 12.369354732510285, 6.562877366255145, 5.69285693536674, 4.136150891632373, 5.97366739288308, 4.729941666666668, 2.6312302469135807, 1.248860692951016, 0.0), # 78
(16.441391495198904, 13.679430709323423, 13.1371418609968, 14.164867592592593, 11.93739476586245, 5.782688228420464, 5.671752840505201, 4.666593811918916, 6.1753572626124065, 2.702698499690686, 2.117805784944966, 1.2065773991448674, 0.0, 16.104304698216733, 13.27235139059354, 10.58902892472483, 8.108095499072057, 12.350714525224813, 6.533231336686482, 5.671752840505201, 4.130491591728903, 5.968697382931225, 4.721622530864199, 2.6274283721993603, 1.243584609938493, 0.0), # 79
(16.414516610007755, 13.620744280720386, 13.117784064929126, 14.139155595813204, 11.92670593614675, 5.774208708022151, 5.650444759522465, 4.645557079713459, 6.165816948635879, 2.694063853250491, 2.111874101640184, 1.2039090639263914, 0.0, 16.08801011659808, 13.242999703190304, 10.559370508200919, 8.082191559751472, 12.331633897271757, 6.503779911598843, 5.650444759522465, 4.1244347914443935, 5.963352968073375, 4.713051865271069, 2.6235568129858255, 1.23824948006549, 0.0), # 80
(16.385878260869568, 13.56143870967742, 13.098083333333335, 14.112714130434785, 11.915294117647058, 5.765200000000001, 5.628941176470589, 4.624666666666667, 6.156066666666666, 2.685402352941177, 2.1057250398724086, 1.2011929824561405, 0.0, 16.070625, 13.213122807017545, 10.528625199362043, 8.05620705882353, 12.312133333333332, 6.474533333333334, 5.628941176470589, 4.118, 5.957647058823529, 4.704238043478263, 2.619616666666667, 1.2328580645161293, 0.0), # 81
(16.355549734597723, 13.501544369219879, 13.078045153177872, 14.085568317230274, 11.903185131391377, 5.75568941726363, 5.607250575401629, 4.603929888736474, 6.146116659045877, 2.676714205330967, 2.099370130151417, 1.198430694935785, 0.0, 16.052190500685874, 13.182737644293633, 10.496850650757084, 8.030142615992899, 12.292233318091753, 6.445501844231063, 5.607250575401629, 4.111206726616879, 5.951592565695688, 4.695189439076759, 2.6156090306355746, 1.2274131244745345, 0.0), # 82
(16.323604318005607, 13.441091632373114, 13.057675011431185, 14.057743276972625, 11.890404798407703, 5.745704272722655, 5.585381440367643, 4.5833540618808115, 6.135977168114616, 2.667999616988085, 2.0928209029869853, 1.195623741566995, 0.0, 16.03274777091907, 13.151861157236944, 10.464104514934926, 8.003998850964255, 12.271954336229232, 6.416695686633136, 5.585381440367643, 4.104074480516182, 5.945202399203851, 4.6859144256575425, 2.6115350022862374, 1.2219174211248287, 0.0), # 83
(16.290115297906603, 13.380110872162485, 13.036978395061729, 14.029264130434784, 11.876978939724037, 5.735271879286694, 5.563342255420687, 4.562946502057613, 6.125658436213991, 2.659258794480756, 2.0860888888888893, 1.1927736625514405, 0.0, 16.012337962962963, 13.120510288065844, 10.430444444444445, 7.977776383442267, 12.251316872427982, 6.388125102880658, 5.563342255420687, 4.096622770919067, 5.938489469862018, 4.676421376811596, 2.607395679012346, 1.2163737156511352, 0.0), # 84
(16.255155961114095, 13.318632461613346, 13.015960791037951, 14.000155998389694, 11.862933376368382, 5.724419549865368, 5.54114150461282, 4.542714525224815, 6.115170705685108, 2.650491944377203, 2.0791856183669055, 1.1898819980907918, 0.0, 15.991002229080934, 13.088701978998708, 10.395928091834525, 7.951475833131607, 12.230341411370215, 6.35980033531474, 5.54114150461282, 4.088871107046691, 5.931466688184191, 4.666718666129899, 2.6031921582075905, 1.210784769237577, 0.0), # 85
(16.21879959444146, 13.256686773751051, 12.994627686328306, 13.970444001610309, 11.84829392936873, 5.713174597368289, 5.518787671996097, 4.522665447340345, 6.104524218869075, 2.64169927324565, 2.0721226219308098, 1.1869502883867193, 0.0, 15.968781721536352, 13.05645317225391, 10.360613109654047, 7.9250978197369495, 12.20904843773815, 6.331731626276483, 5.518787671996097, 4.080838998120206, 5.924146964684365, 4.656814667203437, 2.5989255372656612, 1.2051533430682777, 0.0), # 86
(16.18111948470209, 13.194304181600955, 12.972984567901234, 13.940153260869565, 11.833086419753089, 5.7015643347050755, 5.496289241622575, 4.5028065843621405, 6.093729218106997, 2.6328809876543215, 2.0649114300903775, 1.1839800736408925, 0.0, 15.945717592592594, 13.023780810049816, 10.324557150451888, 7.898642962962963, 12.187458436213994, 6.303929218106997, 5.496289241622575, 4.072545953360768, 5.9165432098765445, 4.646717753623189, 2.594596913580247, 1.1994821983273598, 0.0), # 87
(16.142188918709373, 13.131515058188414, 12.951036922725194, 13.90930889694042, 11.817336668549451, 5.689616074785349, 5.473654697544313, 4.483145252248133, 6.082795945739979, 2.624037294171441, 2.0575635733553868, 1.1809728940549822, 0.0, 15.921850994513035, 12.990701834604803, 10.287817866776932, 7.8721118825143215, 12.165591891479957, 6.276403353147386, 5.473654697544313, 4.064011481989534, 5.908668334274726, 4.636436298980141, 2.5902073845450393, 1.193774096198947, 0.0), # 88
(16.102081183276677, 13.068349776538785, 12.928790237768634, 13.877936030595814, 11.80107049678582, 5.677357130518723, 5.4508925238133665, 4.463688766956257, 6.07173464410913, 2.6151683993652335, 2.050090582235612, 1.1779302898306583, 0.0, 15.897223079561043, 12.957233188137238, 10.250452911178058, 7.845505198095699, 12.14346928821826, 6.24916427373876, 5.4508925238133665, 4.055255093227659, 5.90053524839291, 4.625978676865272, 2.585758047553727, 1.1880317978671624, 0.0), # 89
(16.06086956521739, 13.004838709677419, 12.906250000000002, 13.846059782608698, 11.784313725490197, 5.664814814814815, 5.428011204481793, 4.444444444444445, 6.060555555555556, 2.606274509803922, 2.04250398724083, 1.1748538011695908, 0.0, 15.871875000000001, 12.923391812865496, 10.212519936204147, 7.818823529411765, 12.121111111111112, 6.222222222222222, 5.428011204481793, 4.046296296296297, 5.892156862745098, 4.615353260869567, 2.5812500000000003, 1.1822580645161291, 0.0), # 90
(16.0186273513449, 12.941012230629672, 12.883421696387746, 13.813705273752014, 11.767092175690575, 5.652016440583244, 5.405019223601649, 4.4254196006706294, 6.049268922420364, 2.597355832055731, 2.0348153188808165, 1.17174496827345, 0.0, 15.845847908093276, 12.889194651007948, 10.174076594404081, 7.792067496167191, 12.098537844840727, 6.195587440938882, 5.405019223601649, 4.037154600416603, 5.883546087845287, 4.604568424584006, 2.5766843392775494, 1.1764556573299705, 0.0), # 91
(15.975427828472597, 12.876900712420905, 12.86031081390032, 13.780897624798712, 11.749431668414964, 5.638989320733629, 5.381925065224994, 4.406621551592746, 6.037884987044658, 2.5884125726888843, 2.027036107665348, 1.1686053313439067, 0.0, 15.819182956104251, 12.85465864478297, 10.135180538326738, 7.765237718066651, 12.075769974089315, 6.169270172229845, 5.381925065224994, 4.027849514809735, 5.874715834207482, 4.593632541599572, 2.5720621627800644, 1.1706273374928098, 0.0), # 92
(15.931344283413848, 12.812534528076466, 12.836922839506174, 13.747661956521743, 11.731358024691357, 5.625760768175583, 5.358737213403881, 4.388057613168725, 6.026413991769548, 2.5794449382716054, 2.0191778841042, 1.1654364305826295, 0.0, 15.791921296296294, 12.819800736408922, 10.095889420521, 7.738334814814815, 12.052827983539096, 6.143280658436215, 5.358737213403881, 4.018400548696845, 5.865679012345678, 4.582553985507248, 2.567384567901235, 1.1647758661887697, 0.0), # 93
(15.886450002982048, 12.74794405062171, 12.813263260173755, 13.714023389694043, 11.712897065547754, 5.612358095818728, 5.335464152190369, 4.369735101356501, 6.014866178936138, 2.5704531353721194, 2.01125217870715, 1.16223980619129, 0.0, 15.764104080932785, 12.784637868104188, 10.056260893535747, 7.711359406116356, 12.029732357872277, 6.117629141899102, 5.335464152190369, 4.008827211299091, 5.856448532773877, 4.571341129898015, 2.5626526520347515, 1.1589040046019738, 0.0), # 94
(15.840818273990577, 12.683159653081995, 12.789337562871514, 13.680007045088567, 11.694074612012159, 5.598808616572678, 5.312114365636515, 4.351661332114007, 6.003251790885536, 2.561437370558649, 2.0032705219839726, 1.1590169983715575, 0.0, 15.735772462277092, 12.749186982087132, 10.016352609919863, 7.684312111675945, 12.006503581771073, 6.09232586495961, 5.312114365636515, 3.999149011837627, 5.847037306006079, 4.560002348362857, 2.5578675125743033, 1.1530145139165453, 0.0), # 95
(15.79452238325282, 12.61821170848268, 12.765151234567902, 13.645638043478261, 11.674916485112563, 5.585139643347051, 5.288696337794377, 4.333843621399177, 5.991581069958848, 2.55239785039942, 1.9952444444444448, 1.1557695473251033, 0.0, 15.706967592592594, 12.713465020576134, 9.976222222222225, 7.657193551198258, 11.983162139917695, 6.067381069958849, 5.288696337794377, 3.9893854595336076, 5.8374582425562815, 4.5485460144927545, 2.553030246913581, 1.1471101553166074, 0.0), # 96
(15.747635617582157, 12.553130589849111, 12.740709762231369, 13.61094150563607, 11.655448505876976, 5.571378489051465, 5.265218552716011, 4.316289285169945, 5.979864258497181, 2.5433347814626543, 1.9871854765983423, 1.152498993253596, 0.0, 15.677730624142663, 12.677488925789556, 9.93592738299171, 7.630004344387961, 11.959728516994362, 6.042804999237923, 5.265218552716011, 3.9795560636081895, 5.827724252938488, 4.536980501878691, 2.5481419524462736, 1.141193689986283, 0.0), # 97
(15.700231263791975, 12.487946670206647, 12.71601863283036, 13.575942552334945, 11.635696495333388, 5.557552466595541, 5.241689494453475, 4.299005639384241, 5.968111598841639, 2.5342483703165772, 1.9791051489554419, 1.1492068763587067, 0.0, 15.648102709190674, 12.64127563994577, 9.89552574477721, 7.60274511094973, 11.936223197683278, 6.018607895137937, 5.241689494453475, 3.969680333282529, 5.817848247666694, 4.525314184111649, 2.5432037265660723, 1.1352678791096953, 0.0), # 98
(15.652382608695653, 12.422690322580646, 12.691083333333335, 13.540666304347827, 11.615686274509805, 5.543688888888889, 5.218117647058825, 4.282000000000001, 5.956333333333333, 2.5251388235294123, 1.9710149920255189, 1.1458947368421055, 0.0, 15.618125000000001, 12.604842105263158, 9.855074960127594, 7.575416470588236, 11.912666666666667, 5.9948000000000015, 5.218117647058825, 3.9597777777777776, 5.807843137254903, 4.51355543478261, 2.5382166666666675, 1.129335483870968, 0.0), # 99
(15.60416293910658, 12.357391919996457, 12.665909350708734, 13.505137882447666, 11.595443664434223, 5.529815068841132, 5.194511494584116, 4.265279682975157, 5.944539704313367, 2.516006347669384, 1.9629265363183495, 1.1425641149054624, 0.0, 15.58783864883402, 12.568205263960085, 9.814632681591746, 7.54801904300815, 11.889079408626735, 5.97139155616522, 5.194511494584116, 3.9498679063150943, 5.797721832217111, 4.501712627482556, 2.533181870141747, 1.1233992654542237, 0.0), # 100
(15.555645541838135, 12.292081835479447, 12.640502171925013, 13.469382407407409, 11.574994486134646, 5.515958319361886, 5.17087952108141, 4.248852004267642, 5.932740954122847, 2.506851149304716, 1.9548513123437101, 1.1392165507504473, 0.0, 15.557284807956103, 12.531382058254918, 9.77425656171855, 7.520553447914146, 11.865481908245695, 5.948392805974699, 5.17087952108141, 3.9399702281156324, 5.787497243067323, 4.48979413580247, 2.528100434385003, 1.1174619850435863, 0.0), # 101
(15.506903703703706, 12.22679044205496, 12.614867283950618, 13.433425000000002, 11.554364560639069, 5.5021459533607695, 5.1472302106027605, 4.2327242798353915, 5.920947325102881, 2.497673435003632, 1.9468008506113774, 1.135853584578731, 0.0, 15.526504629629631, 12.49438943036604, 9.734004253056886, 7.493020305010894, 11.841894650205761, 5.925813991769548, 5.1472302106027605, 3.93010425240055, 5.7771822803195345, 4.477808333333335, 2.522973456790124, 1.1115264038231782, 0.0), # 102
(15.458010711516671, 12.161548112748353, 12.589010173754001, 13.397290780998391, 11.533579708975497, 5.488405283747397, 5.123572047200224, 4.2169038256363365, 5.909169059594573, 2.4884734113343563, 1.9387866816311266, 1.132476756591983, 0.0, 15.495539266117968, 12.457244322511812, 9.693933408155633, 7.4654202340030675, 11.818338119189146, 5.903665355890872, 5.123572047200224, 3.920289488390998, 5.766789854487748, 4.465763593666131, 2.5178020347508006, 1.1055952829771232, 0.0), # 103
(15.409039852090416, 12.096385220584981, 12.562936328303612, 13.361004871175524, 11.512665752171923, 5.474763623431389, 5.099913514925861, 4.201397957628411, 5.897416399939034, 2.479251284865113, 1.9308203359127338, 1.129087606991874, 0.0, 15.464429869684501, 12.419963676910612, 9.654101679563668, 7.437753854595337, 11.794832799878067, 5.881957140679775, 5.099913514925861, 3.9105454453081343, 5.756332876085962, 4.4536682903918425, 2.5125872656607227, 1.099671383689544, 0.0), # 104
(15.360064412238325, 12.031332138590201, 12.536651234567902, 13.324592391304346, 11.491648511256354, 5.461248285322361, 5.076263097831727, 4.186213991769549, 5.885699588477366, 2.470007262164126, 1.922913343965976, 1.125687675980074, 0.0, 15.433217592592593, 12.382564435780811, 9.61456671982988, 7.410021786492376, 11.771399176954732, 5.860699588477368, 5.076263097831727, 3.9008916323731144, 5.745824255628177, 4.44153079710145, 2.5073302469135803, 1.093757467144564, 0.0), # 105
(15.311157678773782, 11.96641923978937, 12.510160379515318, 13.28807846215781, 11.470553807256785, 5.44788658232993, 5.052629279969876, 4.1713592440176805, 5.8740288675506775, 2.4607415497996183, 1.9150772363006283, 1.1222785037582528, 0.0, 15.401943587105624, 12.345063541340778, 9.575386181503141, 7.382224649398854, 11.748057735101355, 5.839902941624753, 5.052629279969876, 3.8913475588070923, 5.735276903628392, 4.429359487385938, 2.5020320759030636, 1.0878562945263066, 0.0), # 106
(15.26239293851017, 11.901676897207842, 12.483469250114315, 13.251488204508856, 11.449407461201215, 5.434705827363715, 5.0290205453923695, 4.156841030330743, 5.862414479500076, 2.451454354339816, 1.9073235434264675, 1.1188616305280807, 0.0, 15.370649005486968, 12.307477935808887, 9.536617717132337, 7.354363063019447, 11.724828959000153, 5.819577442463041, 5.0290205453923695, 3.8819327338312255, 5.724703730600607, 4.417162734836286, 2.496693850022863, 1.081970627018895, 0.0), # 107
(15.21384347826087, 11.83713548387097, 12.456583333333336, 13.214846739130437, 11.428235294117645, 5.421733333333335, 5.0054453781512604, 4.142666666666667, 5.850866666666667, 2.442145882352942, 1.8996637958532698, 1.1154385964912283, 0.0, 15.339375000000002, 12.26982456140351, 9.498318979266347, 7.326437647058825, 11.701733333333333, 5.799733333333334, 5.0054453781512604, 3.8726666666666674, 5.714117647058822, 4.40494891304348, 2.4913166666666675, 1.076103225806452, 0.0), # 108
(15.16558258483927, 11.772825372804107, 12.429508116140834, 13.17817918679549, 11.40706312703408, 5.408996413148403, 4.98191226229861, 4.128843468983388, 5.839395671391555, 2.4328163404072196, 1.8921095240908108, 1.112010941849365, 0.0, 15.308162722908094, 12.232120360343014, 9.460547620454054, 7.298449021221657, 11.67879134278311, 5.780380856576743, 4.98191226229861, 3.8635688665345733, 5.70353156351704, 4.392726395598498, 2.485901623228167, 1.0702568520731008, 0.0), # 109
(15.117683545058746, 11.708776937032614, 12.402249085505263, 13.141510668276972, 11.385916780978512, 5.396522379718539, 4.9584296818864715, 4.1153787532388355, 5.828011736015851, 2.423465935070874, 1.8846722586488671, 1.108580206804162, 0.0, 15.277053326474624, 12.194382274845779, 9.423361293244335, 7.27039780521262, 11.656023472031702, 5.76153025453437, 4.9584296818864715, 3.8546588426560997, 5.692958390489256, 4.380503556092325, 2.4804498171010527, 1.0644342670029652, 0.0), # 110
(15.07021964573269, 11.64502054958184, 12.374811728395064, 13.104866304347826, 11.36482207697894, 5.384338545953361, 4.935006120966905, 4.102279835390947, 5.816725102880659, 2.4140948729121283, 1.8773635300372145, 1.1051479315572885, 0.0, 15.246087962962964, 12.156627247130173, 9.386817650186073, 7.242284618736384, 11.633450205761317, 5.743191769547326, 4.935006120966905, 3.845956104252401, 5.68241103848947, 4.368288768115943, 2.474962345679013, 1.0586382317801675, 0.0), # 111
(15.02326417367448, 11.581586583477144, 12.347201531778696, 13.068271215781, 11.34380483606337, 5.372472224762486, 4.911650063591967, 4.089554031397653, 5.805546014327083, 2.404703360499207, 1.8701948687656293, 1.101715656310415, 0.0, 15.215307784636488, 12.118872219414563, 9.350974343828147, 7.214110081497619, 11.611092028654166, 5.725375643956714, 4.911650063591967, 3.837480160544633, 5.671902418031685, 4.356090405260334, 2.469440306355739, 1.0528715075888313, 0.0), # 112
(14.976806757924871, 11.51861130755273, 12.319490437669426, 13.031800658990448, 11.322854058851952, 5.3609451179335466, 4.888420770925416, 4.077235045853738, 5.794513499337931, 2.3953218946450923, 1.8631797083074313, 1.098292391533924, 0.0, 15.184710241349155, 12.081216306873161, 9.315898541537155, 7.185965683935276, 11.589026998675863, 5.708129064195233, 4.888420770925416, 3.829246512809676, 5.661427029425976, 4.343933552996817, 2.4638980875338854, 1.0471464825047938, 0.0), # 113
(14.930369436640104, 11.456715869170786, 12.292060900028826, 12.995747305532802, 11.301752911537415, 5.349730967961242, 4.865614566728464, 4.065474173003413, 5.783796819046966, 2.3861260671651134, 1.8563318232301862, 1.094921622948397, 0.0, 15.154040662656056, 12.044137852432362, 9.28165911615093, 7.1583782014953385, 11.567593638093932, 5.691663842204779, 4.865614566728464, 3.821236405686601, 5.6508764557687075, 4.331915768510935, 2.4584121800057654, 1.0415196244700715, 0.0), # 114
(14.883815844806392, 11.395922558068468, 12.264929243609757, 12.960101406218136, 11.280434856414509, 5.338800611665514, 4.84324772015325, 4.054268436185806, 5.773399988623354, 2.3771301311952313, 1.8496412030472253, 1.091605011007847, 0.0, 15.123210610656603, 12.007655121086316, 9.248206015236125, 7.131390393585693, 11.546799977246708, 5.675975810660129, 4.84324772015325, 3.8134290083325095, 5.640217428207254, 4.320033802072713, 2.452985848721952, 1.0359929598244064, 0.0), # 115
(14.837087797180216, 11.336142812561162, 12.238042919978499, 12.924799380319683, 11.25886776147603, 5.328128285467958, 4.821283854022315, 4.043586875265996, 5.763296714254843, 2.3683173433798195, 1.8430949150057288, 1.0883364263316462, 0.0, 15.092171615609425, 11.971700689648106, 9.215474575028642, 7.104952030139457, 11.526593428509686, 5.661021625372395, 4.821283854022315, 3.8058059181913984, 5.629433880738015, 4.308266460106562, 2.4476085839957, 1.0305584375055605, 0.0), # 116
(14.790127108518035, 11.277288070964257, 12.211349380701316, 12.88977764711069, 11.237019494714783, 5.317688225790165, 4.799686591158202, 4.033398530109057, 5.753460702129175, 2.359670960363252, 1.8366800263528757, 1.085109739539167, 0.0, 15.06087520777316, 11.936207134930834, 9.183400131764378, 7.079012881089755, 11.50692140425835, 5.6467579421526795, 4.799686591158202, 3.7983487327072605, 5.6185097473573915, 4.296592549036898, 2.4422698761402635, 1.0252080064512963, 0.0), # 117
(14.742875593576338, 11.21926977159314, 12.18479607734449, 12.854972625864399, 11.214857924123566, 5.3074546690537305, 4.7784195543834524, 4.023672440580065, 5.743865658434098, 2.351174238789904, 1.8303836043358468, 1.0819188212497801, 0.0, 15.02927291740644, 11.901107033747579, 9.151918021679233, 7.053522716369711, 11.487731316868196, 5.633141416812091, 4.7784195543834524, 3.791039049324093, 5.607428962061783, 4.284990875288134, 2.436959215468898, 1.0199336155993766, 0.0), # 118
(14.695275067111588, 11.161999352763203, 12.158330461474298, 12.820320735854047, 11.192350917695169, 5.297401851680244, 4.757446366520605, 4.014377646544097, 5.734485289357356, 2.3428104353041492, 1.824192716201821, 1.0787575420828581, 0.0, 14.997316274767892, 11.866332962911438, 9.120963581009105, 7.028431305912447, 11.468970578714712, 5.620128705161736, 4.757446366520605, 3.7838584654858884, 5.5961754588475845, 4.273440245284683, 2.43166609229486, 1.014727213887564, 0.0), # 119
(14.647267343880259, 11.105388252789831, 12.131899984657018, 12.785758396352872, 11.169466343422396, 5.287504010091301, 4.736730650392203, 4.005483187866229, 5.7252933010866975, 2.3345628065503625, 1.818094429197978, 1.0756197726577732, 0.0, 14.964956810116156, 11.831817499235502, 9.090472145989889, 7.003688419651086, 11.450586602173395, 5.60767646301272, 4.736730650392203, 3.7767885786366437, 5.584733171711198, 4.2619194654509585, 2.4263799969314035, 1.0095807502536214, 0.0), # 120
(14.59879423863883, 11.049347909988416, 12.105452098458917, 12.751222026634121, 11.146172069298046, 5.277735380708496, 4.716236028820784, 3.9969581044115383, 5.716263399809866, 2.326414609172919, 1.812075810571498, 1.0724993835938965, 0.0, 14.932146053709857, 11.797493219532859, 9.060379052857488, 6.979243827518756, 11.432526799619732, 5.595741346176154, 4.716236028820784, 3.769810986220354, 5.573086034649023, 4.250407342211375, 2.4210904196917835, 1.0044861736353108, 0.0), # 121
(14.549797566143766, 10.993789762674343, 12.078934254446281, 12.716648045971027, 11.122435963314915, 5.268070199953418, 4.695926124628894, 3.9887714360450994, 5.707369291714607, 2.3183490998161913, 1.8061239275695606, 1.0693902455106004, 0.0, 14.898835535807633, 11.763292700616601, 9.030619637847803, 6.955047299448573, 11.414738583429214, 5.584280010463139, 4.695926124628894, 3.762907285681013, 5.561217981657458, 4.238882681990344, 2.4157868508892566, 0.9994354329703949, 0.0), # 122
(14.50021914115155, 10.938625249163001, 12.052293904185383, 12.681972873636834, 11.098225893465804, 5.258482704247664, 4.675764560639071, 3.9808922226319887, 5.698584682988669, 2.3103495351245553, 1.8002258474393456, 1.0662862290272563, 0.0, 14.864976786668116, 11.729148519299818, 9.001129237196727, 6.931048605373665, 11.397169365977337, 5.573249111684785, 4.675764560639071, 3.7560590744626166, 5.549112946732902, 4.227324291212279, 2.4104587808370765, 0.9944204771966367, 0.0), # 123
(14.450000778418648, 10.883765807769782, 12.025478499242494, 12.647132928904785, 11.073509727743506, 5.248947130012824, 4.655714959673856, 3.9732895040372846, 5.689883279819794, 2.302399171742385, 1.794368637428032, 1.063181204763237, 0.0, 14.830521336549939, 11.694993252395603, 8.971843187140161, 6.907197515227153, 11.379766559639588, 5.562605305652198, 4.655714959673856, 3.74924795000916, 5.536754863871753, 4.215710976301596, 2.405095699848499, 0.9894332552517985, 0.0), # 124
(14.399084292701534, 10.82912287681007, 11.9984354911839, 12.612064631048113, 11.048255334140823, 5.239437713670492, 4.635740944555791, 3.965932320126061, 5.68123878839573, 2.294481266314054, 1.7885393647828007, 1.0600690433379134, 0.0, 14.795420715711726, 11.660759476717045, 8.942696823914003, 6.883443798942161, 11.36247757679146, 5.552305248176485, 4.635740944555791, 3.7424555097646373, 5.524127667070411, 4.204021543682705, 2.39968709823678, 0.9844657160736429, 0.0), # 125
(14.347411498756685, 10.774607894599258, 11.971112331575865, 12.576704399340066, 11.022430580650552, 5.229928691642264, 4.615806138107416, 3.958789710763395, 5.6726249149042225, 2.2865790754839375, 1.7827250967508306, 1.0569436153706582, 0.0, 14.759626454412127, 11.626379769077237, 8.913625483754151, 6.859737226451811, 11.345249829808445, 5.542305595068753, 4.615806138107416, 3.735663351173045, 5.511215290325276, 4.192234799780023, 2.394222466315173, 0.9795098085999328, 0.0), # 126
(14.294924211340579, 10.720132299452729, 11.943456471984673, 12.54098865305388, 10.996003335265492, 5.220394300349728, 4.595874163151275, 3.951830715814364, 5.664015365533016, 2.27867585589641, 1.7769129005793014, 1.0537987914808424, 0.0, 14.723090082909758, 11.591786706289264, 8.884564502896506, 6.836027567689229, 11.328030731066033, 5.53256300214011, 4.595874163151275, 3.728853071678377, 5.498001667632746, 4.1803295510179606, 2.388691294396935, 0.97455748176843, 0.0), # 127
(14.241564245209673, 10.665607529685879, 11.915415363976601, 12.504853811462798, 10.968941465978443, 5.210808776214481, 4.575908642509906, 3.9450243751440417, 5.655383846469858, 2.2707548641958457, 1.7710898435153934, 1.0506284422878387, 0.0, 14.68576313146326, 11.556912865166222, 8.855449217576966, 6.812264592587535, 11.310767692939717, 5.523034125201659, 4.575908642509906, 3.722006268724629, 5.484470732989221, 4.168284603820934, 2.3830830727953205, 0.9696006845168982, 0.0), # 128
(14.187273415120451, 10.610945023614088, 11.886936459117921, 12.468236293840059, 10.9412128407822, 5.201146355658116, 4.555873199005851, 3.938339728617507, 5.646704063902494, 2.2627993570266187, 1.765242992806286, 1.0474264384110183, 0.0, 14.647597130331262, 11.5216908225212, 8.82621496403143, 6.788398071079855, 11.293408127804987, 5.51367562006451, 4.555873199005851, 3.7151045397557967, 5.4706064203911, 4.156078764613354, 2.377387291823584, 0.9646313657830989, 0.0), # 129
(14.131993535829388, 10.556056219552751, 11.857967208974907, 12.431072519458905, 10.91278532766956, 5.191381275102222, 4.53573145546165, 3.9317458160998338, 5.637949724018666, 2.2547925910331035, 1.7593594156991588, 1.044186650469754, 0.0, 14.608543609772397, 11.48605315516729, 8.796797078495793, 6.764377773099309, 11.275899448037332, 5.504444142539767, 4.53573145546165, 3.7081294822158726, 5.45639266383478, 4.1436908398196355, 2.3715934417949813, 0.9596414745047956, 0.0), # 130
(14.07566642209295, 10.500852555817252, 11.828455065113841, 12.393298907592571, 10.883626794633326, 5.181487770968396, 4.515447034699847, 3.9252116774560997, 5.629094533006126, 2.2467178228596745, 1.7534261794411918, 1.0409029490834167, 0.0, 14.568554100045299, 11.449932439917582, 8.767130897205957, 6.740153468579022, 11.258189066012251, 5.49529634843854, 4.515447034699847, 3.701062693548854, 5.441813397316663, 4.131099635864191, 2.3656910130227686, 0.9546229596197504, 0.0), # 131
(14.018233888667616, 10.445245470722984, 11.798347479100995, 12.354851877514303, 10.853705109666297, 5.171440079678229, 4.49498355954298, 3.918706352551382, 5.620112197052615, 2.238558309150706, 1.7474303512795641, 1.0375692048713792, 0.0, 14.527580131408602, 11.413261253585167, 8.73715175639782, 6.715674927452117, 11.24022439410523, 5.486188893571935, 4.49498355954298, 3.693885771198735, 5.4268525548331485, 4.1182839591714355, 2.3596694958201994, 0.949567770065726, 0.0), # 132
(13.959637750309861, 10.38914640258533, 11.767591902502646, 12.315667848497343, 10.822988140761264, 5.161212437653315, 4.474304652813592, 3.9121988812507547, 5.61097642234588, 2.2302973065505736, 1.7413589984614566, 1.0341792884530125, 0.0, 14.485573234120938, 11.375972172983136, 8.706794992307282, 6.690891919651719, 11.22195284469176, 5.477078433751057, 4.474304652813592, 3.686580312609511, 5.411494070380632, 4.105222616165782, 2.3535183805005295, 0.9444678547804848, 0.0), # 133
(13.899819821776152, 10.332466789719687, 11.736135786885072, 12.275683239814924, 10.791443755911033, 5.150779081315248, 4.453373937334223, 3.9056583034192958, 5.601660915073669, 2.2219180717036497, 1.7351991882340478, 1.030727070447689, 0.0, 14.442484938440934, 11.337997774924577, 8.675995941170239, 6.6657542151109475, 11.203321830147338, 5.467921624787015, 4.453373937334223, 3.6791279152251772, 5.395721877955516, 4.091894413271643, 2.3472271573770147, 0.9393151627017899, 0.0), # 134
(13.838721917822966, 10.275118070441435, 11.703926583814546, 12.234834470740296, 10.759039823108395, 5.14011424708562, 4.432155035927415, 3.8990536589220803, 5.592139381423722, 2.213403861254311, 1.7289379878445184, 1.0272064214747805, 0.0, 14.398266774627231, 11.299270636222584, 8.64468993922259, 6.640211583762932, 11.184278762847445, 5.458675122490913, 4.432155035927415, 3.671510176489728, 5.379519911554198, 4.0782781569134325, 2.340785316762909, 0.9341016427674034, 0.0), # 135
(13.776285853206776, 10.217011683065968, 11.670911744857346, 12.193057960546685, 10.725744210346152, 5.129192171386024, 4.410611571415708, 3.892353987624185, 5.5823855275837895, 2.2047379318469296, 1.7225624645400475, 1.0236112121536591, 0.0, 14.352870272938459, 11.259723333690248, 8.612812322700236, 6.614213795540787, 11.164771055167579, 5.44929558267386, 4.410611571415708, 3.6637086938471604, 5.362872105173076, 4.064352653515563, 2.3341823489714693, 0.9288192439150881, 0.0), # 136
(13.712453442684055, 10.15805906590867, 11.63703872157975, 12.15029012850735, 10.691524785617101, 5.117987090638052, 4.388707166621645, 3.885528329390686, 5.572373059741617, 2.1959035401258813, 1.716059685567815, 1.0199353131036961, 0.0, 14.306246963633242, 11.219288444140656, 8.580298427839075, 6.587710620377642, 11.144746119483234, 5.439739661146961, 4.388707166621645, 3.6557050647414657, 5.345762392808551, 4.050096709502451, 2.3274077443159498, 0.9234599150826065, 0.0), # 137
(13.647166501011277, 10.098171657284933, 11.602254965548024, 12.106467393895517, 10.656349416914047, 5.106473241263299, 4.366405444367763, 3.8785457240866603, 5.56207568408495, 2.1868839427355393, 1.7094167181750008, 1.016172594944264, 0.0, 14.258348376970226, 11.1778985443869, 8.547083590875005, 6.560651828206616, 11.1241513681699, 5.4299640137213245, 4.366405444367763, 3.6474808866166426, 5.3281747084570235, 4.035489131298506, 2.320450993109605, 0.9180156052077213, 0.0), # 138
(13.58036684294491, 10.037260895510144, 11.566507928328454, 12.061526175984431, 10.620185972229777, 5.094624859683358, 4.343670027476608, 3.8713752115771833, 5.551467106801532, 2.1776623963202795, 1.7026206296087845, 1.0123169282947344, 0.0, 14.20912604320803, 11.135486211242075, 8.513103148043921, 6.532987188960837, 11.102934213603064, 5.419925296208056, 4.343670027476608, 3.6390177569166844, 5.3100929861148884, 4.020508725328145, 2.313301585665691, 0.912478263228195, 0.0), # 139
(13.511996283241437, 9.97523821889969, 11.529745061487317, 12.015402894047334, 10.583002319557098, 5.082416182319821, 4.320464538770717, 3.863985831727331, 5.54052103407911, 2.168222157524475, 1.6956584871163454, 1.008362183774479, 0.0, 14.158531492605304, 11.091984021519266, 8.478292435581725, 6.504666472573423, 11.08104206815822, 5.409580164418264, 4.320464538770717, 3.6302972730855863, 5.291501159778549, 4.005134298015779, 2.3059490122974635, 0.9068398380817901, 0.0), # 140
(13.44199663665733, 9.912015065768964, 11.491913816590882, 11.968033967357464, 10.544766326888803, 5.069821445594281, 4.296752601072636, 3.8563466244021805, 5.529211172105429, 2.158546482992501, 1.688517357944864, 1.00430223200287, 0.0, 14.106516255420662, 11.047324552031569, 8.442586789724318, 6.4756394489775015, 11.058422344210857, 5.398885274163053, 4.296752601072636, 3.6213010325673434, 5.272383163444402, 3.989344655785822, 2.2983827633181764, 0.9010922787062696, 0.0), # 141
(13.37030971794905, 9.84750287443335, 11.452961645205429, 11.919355815188066, 10.505445862217693, 5.056814885928333, 4.272497837204901, 3.848426629466808, 5.517511227068235, 2.1486186293687317, 1.6811843093415195, 1.0001309435992793, 0.0, 14.053031861912746, 11.001440379592072, 8.405921546707596, 6.445855888106194, 11.03502245413647, 5.3877972812535315, 4.272497837204901, 3.612010632805952, 5.252722931108846, 3.973118605062689, 2.2905923290410857, 0.8952275340393956, 0.0), # 142
(13.29687734187308, 9.781613083208239, 11.412835998897235, 11.86930485681237, 10.465008793536564, 5.043370739743566, 4.247663869990055, 3.840194886786288, 5.505394905155279, 2.1384218532975416, 1.6736464085534917, 0.9958421891830788, 0.0, 13.998029842340188, 10.954264081013864, 8.368232042767458, 6.415265559892624, 11.010789810310557, 5.376272841500803, 4.247663869990055, 3.6024076712454045, 5.232504396768282, 3.956434952270791, 2.282567199779447, 0.8892375530189309, 0.0), # 143
(13.221641323185896, 9.714257130409019, 11.37148432923257, 11.817817511503629, 10.423422988838217, 5.029463243461577, 4.222214322250639, 3.8316204362256996, 5.492835912554298, 2.1279394114233043, 1.6658907228279605, 0.99142983937364, 0.0, 13.941461726961624, 10.905728233110038, 8.329453614139801, 6.383818234269912, 10.985671825108597, 5.364268610715979, 4.222214322250639, 3.592473745329698, 5.2117114944191085, 3.9392725038345437, 2.2742968658465146, 0.8831142845826383, 0.0), # 144
(13.144543476643964, 9.64534645435108, 11.328854087777719, 11.764830198535075, 10.380656316115449, 5.015066633503958, 4.196112816809195, 3.8226723176501176, 5.479807955453042, 2.1171545603903956, 1.6579043194121055, 0.9868877647903354, 0.0, 13.88327904603568, 10.855765412693687, 8.289521597060528, 6.351463681171186, 10.959615910906084, 5.351741244710165, 4.196112816809195, 3.582190452502827, 5.190328158057724, 3.921610066178359, 2.265770817555544, 0.8768496776682801, 0.0), # 145
(13.065525617003761, 9.574792493349808, 11.284892726098956, 11.710279337179951, 10.33667664336106, 5.000155146292303, 4.169322976488264, 3.813319570924618, 5.4662847400392565, 2.1060505568431886, 1.6496742655531065, 0.9822098360525362, 0.0, 13.82343332982099, 10.804308196577896, 8.248371327765533, 6.318151670529565, 10.932569480078513, 5.338647399294466, 4.169322976488264, 3.5715393902087875, 5.16833832168053, 3.903426445726651, 2.2569785452197917, 0.870435681213619, 0.0), # 146
(12.98452955902176, 9.502506685720592, 11.239547695762546, 11.654101346711496, 10.291451838567841, 4.984703018248201, 4.141808424110385, 3.803531235914277, 5.4522399725006885, 2.094610657426059, 1.6411876284981433, 0.9773899237796149, 0.0, 13.761876108576189, 10.751289161575762, 8.205938142490716, 6.2838319722781755, 10.904479945001377, 5.324943730279988, 4.141808424110385, 3.5605021558915717, 5.145725919283921, 3.884700448903833, 2.2479095391525097, 0.8638642441564175, 0.0), # 147
(12.901497117454435, 9.428400469778822, 11.192766448334778, 11.596232646402957, 10.2449497697286, 4.968684485793251, 4.113532782498101, 3.7932763524841717, 5.437647359025082, 2.082818118783379, 1.6324314754943956, 0.9724218985909429, 0.0, 13.698558912559907, 10.69664088450037, 8.162157377471978, 6.248454356350136, 10.875294718050164, 5.310586893477841, 4.113532782498101, 3.5490603469951787, 5.1224748848643, 3.8654108821343196, 2.2385532896669558, 0.8571273154344385, 0.0), # 148
(12.81637010705826, 9.352385283839885, 11.144496435381926, 11.536609655527563, 10.197138304836129, 4.9520737853490395, 4.084459674473953, 3.7825239604993777, 5.42248060580018, 2.0706561975595257, 1.6233928737890426, 0.9672996311058923, 0.0, 13.63343327203078, 10.640295942164814, 8.116964368945213, 6.211968592678575, 10.84496121160036, 5.295533544699129, 4.084459674473953, 3.5371955609635997, 5.098569152418064, 3.845536551842522, 2.2288992870763855, 0.8502168439854443, 0.0), # 149
(12.729090342589704, 9.274372566219169, 11.09468510847026, 11.475168793358566, 10.147985311883227, 4.934845153337166, 4.054552722860481, 3.771243099824971, 5.406713419013735, 2.058108150398871, 1.614058890629265, 0.9620169919438353, 0.0, 13.566450717247434, 10.582186911382186, 8.070294453146325, 6.174324451196611, 10.81342683802747, 5.27974033975496, 4.054552722860481, 3.524889395240833, 5.0739926559416135, 3.825056264452856, 2.2189370216940523, 0.8431247787471974, 0.0), # 150
(12.63959963880524, 9.194273755232066, 11.043279919166057, 11.411846479169196, 10.097458658862696, 4.916972826179219, 4.023775550480226, 3.759402810326029, 5.390319504853488, 2.0451572339457917, 1.6044165932622414, 0.956567851724143, 0.0, 13.49756277846851, 10.522246368965572, 8.022082966311206, 6.135471701837374, 10.780639009706976, 5.263163934456441, 4.023775550480226, 3.5121234472708704, 5.048729329431348, 3.8039488263897328, 2.2086559838332116, 0.8358430686574607, 0.0), # 151
(12.54783981046135, 9.11200028919396, 10.990228319035603, 11.346579132232703, 10.045526213767326, 4.898431040296793, 3.992091780155732, 3.7469721318676275, 5.373272569507184, 2.0317867048446603, 1.5944530489351527, 0.950946081066188, 0.0, 13.426720985952636, 10.460406891728066, 7.9722652446757625, 6.09536011453398, 10.746545139014367, 5.245760984614678, 3.992091780155732, 3.4988793144977093, 5.022763106883663, 3.7821930440775686, 2.198045663807121, 0.8283636626539964, 0.0), # 152
(12.453752672314497, 9.027463606420243, 10.935477759645158, 11.27930317182232, 9.992155844589925, 4.8791940321114815, 3.9594650347095355, 3.7339201043148416, 5.355546319162572, 2.017979819739852, 1.5841553248951779, 0.945145550589342, 0.0, 13.353876869958444, 10.39660105648276, 7.920776624475889, 6.053939459219555, 10.711092638325145, 5.227488146040779, 3.9594650347095355, 3.485138594365344, 4.996077922294963, 3.759767723940774, 2.187095551929032, 0.8206785096745677, 0.0), # 153
(12.357280039121166, 8.940575145226303, 10.878975692561012, 11.209955017211293, 9.937315419323285, 4.859236038044878, 3.9258589369641825, 3.7202157675327485, 5.337114460007395, 2.0037198352757417, 1.5735104883894968, 0.9391601309129768, 0.0, 13.278981960744572, 10.330761440042743, 7.867552441947483, 6.011159505827224, 10.67422892001479, 5.208302074545848, 3.9258589369641825, 3.4708828843177697, 4.968657709661643, 3.736651672403765, 2.1757951385122025, 0.8127795586569367, 0.0), # 154
(12.258363725637818, 8.851246343927524, 10.820669569349436, 11.138471087672855, 9.880972805960209, 4.838531294518574, 3.891237109742209, 3.705828161386424, 5.317950698229401, 1.9889900080967022, 1.562505606665289, 0.9329836926564644, 0.0, 13.201987788569642, 10.262820619221108, 7.812528033326444, 5.966970024290106, 10.635901396458802, 5.188159425940994, 3.891237109742209, 3.456093781798981, 4.940486402980104, 3.712823695890952, 2.1641339138698874, 0.804658758538866, 0.0), # 155
(12.15694554662093, 8.759388640839303, 10.760506841576703, 11.06478780248025, 9.823095872493491, 4.817054037954164, 3.85556317586616, 3.690726325740946, 5.298028740016334, 1.9737735948471096, 1.5511277469697347, 0.9266101064391765, 0.0, 13.122845883692296, 10.19271117083094, 7.755638734848673, 5.921320784541328, 10.596057480032668, 5.167016856037325, 3.85556317586616, 3.440752884252974, 4.911547936246746, 3.688262600826751, 2.1521013683153405, 0.7963080582581185, 0.0), # 156
(12.05296731682698, 8.664913474277022, 10.698434960809092, 10.988841580906726, 9.76365248691593, 4.79477850477324, 3.8188007581585754, 3.6748793004613884, 5.27732229155594, 1.958053852171337, 1.5393639765500133, 0.9200332428804852, 0.0, 13.041507776371162, 10.120365671685335, 7.696819882750066, 5.87416155651401, 10.55464458311188, 5.1448310206459436, 3.8188007581585754, 3.4248417891237426, 4.881826243457965, 3.662947193635576, 2.1396869921618182, 0.7877194067524566, 0.0), # 157
(11.943489514248384, 8.56599791046598, 10.631455938536474, 10.907723497981493, 9.699926512929064, 4.7702895112293024, 3.780085376742286, 3.6571979682329148, 5.254219782186185, 1.9413463665164579, 1.5268255340103847, 0.9130132752259121, 0.0, 12.954377375064553, 10.043146027485031, 7.634127670051924, 5.824039099549372, 10.50843956437237, 5.120077155526081, 3.780085376742286, 3.407349650878073, 4.849963256464532, 3.6359078326604983, 2.126291187707295, 0.7787270827696345, 0.0), # 158
(11.811658827165445, 8.452495802079234, 10.542317091203984, 10.804772590546145, 9.61620406376707, 4.7354436714732975, 3.734570210708573, 3.6314756885095885, 5.21942787265181, 1.9209123976394986, 1.5113111828317318, 0.9041816698244146, 0.0, 12.840684235072311, 9.94599836806856, 7.556555914158659, 5.762737192918495, 10.43885574530362, 5.084065963913424, 3.734570210708573, 3.3824597653380692, 4.808102031883535, 3.6015908635153826, 2.108463418240797, 0.7684087092799304, 0.0), # 159
(11.655795351846896, 8.323475201859713, 10.429227943941186, 10.678293012490633, 9.51084814010325, 4.689385209644506, 3.6817949987070273, 3.5970661263515646, 5.171960121188613, 1.896482260745158, 1.4926025356292107, 0.893400259851713, 0.0, 12.69827297422973, 9.827402858368842, 7.463012678146054, 5.689446782235472, 10.343920242377227, 5.0358925768921905, 3.6817949987070273, 3.3495608640317895, 4.755424070051625, 3.559431004163545, 2.0858455887882372, 0.7566795638054286, 0.0), # 160
(11.477155287337537, 8.179777273184687, 10.293395962547079, 10.529487004508074, 9.38495266590092, 4.632672092132293, 3.622145156805501, 3.5544003554065204, 5.112442542399476, 1.8682632772683756, 1.4708644412265888, 0.8807689958543429, 0.0, 12.528598471710556, 9.68845895439777, 7.354322206132943, 5.6047898318051255, 10.224885084798952, 4.976160497569129, 3.622145156805501, 3.3090514943802094, 4.69247633295046, 3.509829001502692, 2.058679192509416, 0.7436161157440625, 0.0), # 161
(11.27699483268217, 8.022243179431417, 10.136028612820661, 10.359556807291593, 9.239611565123418, 4.565862285326026, 3.5560061010718473, 3.503909449322135, 5.041501150887273, 1.836462768644093, 1.4462617484476323, 0.8663878283788393, 0.0, 12.333115606688533, 9.530266112167231, 7.231308742238162, 5.509388305932278, 10.083002301774545, 4.9054732290509895, 3.5560061010718473, 3.261330203804304, 4.619805782561709, 3.4531856024305316, 2.0272057225641325, 0.7292948344937653, 0.0), # 162
(11.056570186925597, 7.851714083977169, 9.958333360560937, 10.169704661534322, 9.075918761734068, 4.489513755615068, 3.4837632475739206, 3.4460244817460834, 4.959761961254883, 1.8012880563072504, 1.418959306116109, 0.8503567079717379, 0.0, 12.113279258337407, 9.353923787689116, 7.0947965305805445, 5.40386416892175, 9.919523922509766, 4.824434274444517, 3.4837632475739206, 3.2067955397250487, 4.537959380867034, 3.3899015538447745, 1.9916666721121876, 0.71379218945247, 0.0), # 163
(10.817137549112616, 7.669031150199204, 9.761517671566903, 9.961132807929381, 8.894968179696201, 4.404184469388787, 3.405802012379573, 3.3811765263260463, 4.867850988105186, 1.762946461692788, 1.3891219630557858, 0.8327755851795738, 0.0, 11.870544305830926, 9.160531436975312, 6.945609815278928, 5.288839385078362, 9.735701976210372, 4.733647136856465, 3.405802012379573, 3.1458460495634197, 4.447484089848101, 3.320377602643128, 1.9523035343133808, 0.6971846500181095, 0.0), # 164
(10.559953118288028, 7.475035541474793, 9.546789011637559, 9.735043487169904, 8.697853742973145, 4.310432393036548, 3.3225078115566578, 3.3097966567096977, 4.766394246041056, 1.7216453062356458, 1.35691456809043, 0.8137444105488828, 0.0, 11.606365628342832, 8.951188516037709, 6.7845728404521495, 5.164935918706936, 9.532788492082112, 4.633715319393577, 3.3225078115566578, 3.078880280740391, 4.348926871486572, 3.245014495723302, 1.909357802327512, 0.6795486855886177, 0.0), # 165
(10.286273093496636, 7.270568421181199, 9.315354846571905, 9.492638939949002, 8.485669375528229, 4.208815492947715, 3.234266061173029, 3.2323159465447184, 4.656017749665372, 1.6775919113707654, 1.322501970043808, 0.7933631346262003, 0.0, 11.322198105046873, 8.726994480888202, 6.612509850219039, 5.0327757341122945, 9.312035499330744, 4.525242325162606, 3.234266061173029, 3.0062967806769394, 4.242834687764114, 3.1642129799830014, 1.8630709693143812, 0.6609607655619273, 0.0), # 166
(9.997353673783238, 7.056470952695688, 9.06842264216894, 9.235121406959813, 8.259509001324778, 4.099891735511655, 3.14146217729654, 3.1491654694787847, 4.537347513581013, 1.6309935985330861, 1.2860490177396875, 0.7717317079580612, 0.0, 11.019496615116793, 8.489048787538673, 6.430245088698436, 4.892980795599257, 9.074695027162026, 4.408831657270299, 3.14146217729654, 2.928494096794039, 4.129754500662389, 3.0783738023199385, 1.8136845284337881, 0.6414973593359717, 0.0), # 167
(9.694451058192634, 6.833584299395522, 8.807199864227664, 8.963693128895455, 8.020466544326124, 3.9842190871177325, 3.0444815759950434, 3.0607762991595733, 4.411009552390856, 1.5820576891575493, 1.247720560001835, 0.7489500810910016, 0.0, 10.69971603772634, 8.238450892001017, 6.2386028000091756, 4.746173067472647, 8.822019104781711, 4.285086818823403, 3.0444815759950434, 2.8458707765126663, 4.010233272163062, 2.987897709631819, 1.7614399728455332, 0.6212349363086839, 0.0), # 168
(9.378821445769624, 6.602749624657969, 8.53289397854708, 8.67955634644906, 7.769635928495594, 3.8623555141553156, 2.9437096733363934, 2.9675795092347634, 4.277629880697781, 1.5309915046790952, 1.2076814456540184, 0.7251182045715564, 0.0, 10.364311252049257, 7.976300250287119, 6.038407228270092, 4.592974514037284, 8.555259761395561, 4.154611312928669, 2.9437096733363934, 2.7588253672537966, 3.884817964247797, 2.8931854488163538, 1.706578795709416, 0.6002499658779973, 0.0), # 169
(9.051721035559014, 6.3648080918602945, 8.24671245092618, 8.383913300313743, 7.508111077796515, 3.7348589830137664, 2.8395318853884426, 2.870006173352032, 4.137834513104661, 1.4780023665326634, 1.1660965235200045, 0.7003360289462612, 0.0, 10.014737137259289, 7.7036963184088725, 5.830482617600023, 4.43400709959799, 8.275669026209322, 4.018008642692845, 2.8395318853884426, 2.6677564164384044, 3.7540555388982577, 2.7946377667712485, 1.649342490185236, 0.5786189174418451, 0.0), # 170
(8.7144060266056, 6.12060086437976, 7.949862747163971, 8.077966231182643, 7.23698591619222, 3.602287460082452, 2.7323336282190445, 2.7684873651590554, 3.992249464214377, 1.4232975961531957, 1.1231306424235596, 0.6747035047616515, 0.0, 9.652448572530185, 7.421738552378166, 5.615653212117798, 4.269892788459586, 7.984498928428754, 3.8758823112226777, 2.7323336282190445, 2.5730624714874657, 3.61849295809611, 2.692655410394215, 1.5899725494327943, 0.5564182603981601, 0.0), # 171
(8.368132617954185, 5.870969105593635, 7.643552333059449, 7.762917379748876, 6.9573543676460305, 3.4651989117507385, 2.6225003178960526, 2.663454158303514, 3.8415007486298056, 1.3670845149756323, 1.0789486511884518, 0.648320582564263, 0.0, 9.278900437035686, 7.1315264082068905, 5.3947432559422595, 4.101253544926896, 7.683001497259611, 3.7288358216249198, 2.6225003178960526, 2.475142079821956, 3.4786771838230153, 2.587639126582959, 1.52871046661189, 0.5337244641448761, 0.0), # 172
(8.014157008649567, 5.616753978879182, 7.328988674411616, 7.439968986705571, 6.6703103561212815, 3.3241513044079904, 2.51041737048732, 2.5553376264330825, 3.6862143809538255, 1.309570444434913, 1.0337153986384477, 0.62128721290063, 0.0, 8.89554760994954, 6.83415934190693, 5.168576993192238, 3.9287113333047383, 7.372428761907651, 3.5774726770063157, 2.51041737048732, 2.37439378886285, 3.3351551780606408, 2.479989662235191, 1.4657977348823235, 0.5106139980799257, 0.0), # 173
(7.6537353977365505, 5.358796647613667, 7.00737923701947, 7.110323292745849, 6.376947805581297, 3.179702604443573, 2.3964702020607005, 2.4445688431954404, 3.527016375789314, 1.250962705965979, 0.9875957335973142, 0.5937033463172892, 0.0, 8.503844970445494, 6.53073680949018, 4.93797866798657, 3.7528881178979363, 7.054032751578628, 3.4223963804736166, 2.3964702020607005, 2.2712161460311235, 3.1884739027906486, 2.370107764248617, 1.401475847403894, 0.4871633316012425, 0.0), # 174
(7.288123984259929, 5.097938275174352, 6.679931486682011, 6.7751825385628415, 6.078360639989406, 3.0324107782468537, 2.2810442286840464, 2.331578882238264, 3.36453274773915, 1.19146862100377, 0.9407545048888186, 0.5656689333607753, 0.0, 8.105247397697292, 6.222358266968527, 4.703772524444093, 3.574405863011309, 6.7290654954783, 3.26421043513357, 2.2810442286840464, 2.1660076987477526, 3.039180319994703, 2.2583941795209475, 1.3359862973364023, 0.46344893410675936, 0.0), # 175
(6.91857896726451, 4.835020024938507, 6.347852889198238, 6.435748964849671, 5.775642783308939, 2.882833792207196, 2.164524866425212, 2.216798817209233, 3.199389511406209, 1.131295510983227, 0.8933565613367281, 0.537283924577624, 0.0, 7.701209770878679, 5.910123170353863, 4.46678280668364, 3.39388653294968, 6.398779022812418, 3.103518344092926, 2.164524866425212, 2.0591669944337117, 2.8878213916544695, 2.1452496549498905, 1.2695705778396478, 0.4395472749944098, 0.0), # 176
(6.546356545795092, 4.570883060283395, 6.012350910367152, 6.093224812299459, 5.469888159503225, 2.731529612713966, 2.0472975313520503, 2.100659721756022, 3.0322126813933705, 1.07065069733929, 0.8455667517648098, 0.5086482705143706, 0.0, 7.2931869691634, 5.595130975658075, 4.227833758824048, 3.211952092017869, 6.064425362786741, 2.9409236104584306, 2.0472975313520503, 1.9510925805099755, 2.7349440797516125, 2.0310749374331536, 1.2024701820734305, 0.4155348236621269, 0.0), # 177
(6.172712918896475, 4.306368544586282, 5.6746330159877525, 5.74881232160534, 5.162190692535588, 2.5790562061565305, 1.929747639532414, 1.9835926695263104, 2.863628272303512, 1.0097415015069002, 0.7975499249968301, 0.4798619217175504, 0.0, 6.882633871725203, 5.278481138893053, 3.98774962498415, 3.0292245045207, 5.727256544607024, 2.7770297373368344, 1.929747639532414, 1.8421830043975218, 2.581095346267794, 1.916270773868447, 1.1349266031975505, 0.3914880495078438, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 132
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 133
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 134
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 135
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 136
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 137
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
28, # 1
)
| 279.17754 | 491 | 0.771966 |
"""
PASSENGERS
"""
numPassengers = 30558
passenger_arriving = (
(11, 2, 10, 9, 2, 7, 2, 5, 2, 1, 1, 0, 0, 9, 8, 6, 8, 2, 5, 1, 5, 4, 1, 1, 1, 0), # 0
(9, 12, 9, 9, 8, 2, 1, 4, 2, 0, 1, 2, 0, 8, 6, 8, 5, 2, 5, 7, 3, 3, 1, 0, 2, 0), # 1
(4, 3, 8, 10, 7, 5, 1, 6, 4, 4, 1, 0, 0, 15, 10, 4, 8, 4, 5, 3, 2, 5, 1, 2, 1, 0), # 2
(9, 12, 4, 11, 5, 5, 3, 4, 2, 1, 1, 1, 0, 7, 13, 9, 3, 12, 7, 3, 2, 2, 2, 1, 1, 0), # 3
(9, 13, 8, 7, 7, 1, 5, 7, 1, 1, 1, 2, 0, 7, 9, 3, 7, 8, 3, 5, 2, 3, 3, 2, 1, 0), # 4
(12, 7, 8, 8, 9, 2, 5, 6, 2, 2, 5, 0, 0, 4, 5, 9, 7, 10, 6, 1, 3, 8, 2, 4, 5, 0), # 5
(16, 14, 14, 11, 5, 5, 7, 5, 0, 1, 0, 0, 0, 10, 12, 8, 4, 8, 7, 4, 1, 2, 4, 2, 2, 0), # 6
(7, 7, 18, 10, 10, 5, 5, 3, 6, 4, 1, 1, 0, 9, 7, 14, 6, 10, 7, 5, 2, 3, 2, 4, 1, 0), # 7
(17, 16, 12, 12, 9, 1, 7, 5, 5, 3, 1, 0, 0, 15, 11, 5, 8, 12, 3, 9, 5, 4, 6, 1, 1, 0), # 8
(13, 12, 11, 10, 13, 6, 3, 2, 4, 4, 3, 1, 0, 14, 9, 6, 12, 6, 6, 2, 4, 6, 7, 2, 1, 0), # 9
(17, 15, 11, 15, 10, 2, 7, 6, 10, 2, 0, 1, 0, 18, 16, 12, 5, 6, 9, 6, 0, 6, 9, 4, 1, 0), # 10
(9, 11, 13, 13, 6, 2, 7, 6, 3, 1, 5, 0, 0, 14, 13, 8, 6, 12, 11, 4, 1, 6, 2, 2, 1, 0), # 11
(10, 18, 9, 11, 7, 4, 5, 4, 8, 4, 0, 1, 0, 12, 13, 7, 7, 18, 6, 3, 8, 4, 2, 3, 0, 0), # 12
(10, 12, 7, 9, 7, 3, 7, 7, 6, 2, 2, 2, 0, 15, 21, 10, 10, 12, 5, 6, 2, 2, 0, 2, 2, 0), # 13
(23, 17, 6, 26, 16, 3, 9, 7, 3, 2, 2, 1, 0, 17, 11, 15, 10, 9, 4, 7, 5, 2, 4, 1, 1, 0), # 14
(12, 10, 10, 20, 9, 4, 11, 6, 7, 5, 3, 2, 0, 22, 16, 14, 9, 12, 8, 3, 4, 8, 6, 1, 2, 0), # 15
(14, 14, 10, 15, 9, 3, 4, 5, 3, 1, 1, 1, 0, 14, 17, 15, 12, 11, 3, 4, 6, 3, 6, 3, 1, 0), # 16
(24, 12, 8, 9, 14, 8, 5, 6, 5, 2, 2, 1, 0, 15, 15, 7, 11, 15, 5, 12, 6, 1, 6, 3, 1, 0), # 17
(21, 18, 13, 17, 16, 6, 10, 6, 3, 4, 2, 2, 0, 12, 18, 13, 8, 8, 8, 5, 5, 3, 8, 1, 3, 0), # 18
(15, 10, 9, 13, 13, 7, 6, 11, 6, 2, 1, 0, 0, 22, 13, 9, 9, 15, 9, 6, 7, 6, 3, 0, 0, 0), # 19
(15, 12, 14, 5, 9, 6, 6, 11, 2, 1, 1, 2, 0, 19, 9, 10, 9, 13, 10, 6, 4, 6, 4, 4, 1, 0), # 20
(18, 23, 12, 17, 10, 5, 3, 8, 5, 3, 1, 1, 0, 15, 9, 10, 12, 16, 6, 7, 2, 8, 5, 2, 1, 0), # 21
(20, 17, 13, 17, 8, 9, 9, 6, 7, 3, 0, 0, 0, 16, 13, 14, 6, 13, 8, 7, 4, 7, 1, 0, 2, 0), # 22
(12, 16, 19, 14, 16, 8, 5, 9, 3, 1, 2, 1, 0, 28, 12, 8, 8, 21, 16, 2, 6, 5, 5, 4, 4, 0), # 23
(18, 18, 15, 17, 17, 7, 8, 5, 3, 3, 3, 2, 0, 24, 20, 16, 11, 16, 7, 8, 3, 5, 2, 4, 1, 0), # 24
(15, 18, 14, 16, 18, 10, 2, 3, 5, 2, 2, 1, 0, 16, 13, 10, 11, 13, 10, 8, 6, 6, 1, 2, 4, 0), # 25
(19, 19, 16, 14, 14, 10, 7, 6, 10, 1, 3, 0, 0, 11, 16, 11, 8, 20, 6, 4, 8, 3, 9, 3, 3, 0), # 26
(13, 19, 16, 14, 16, 4, 6, 6, 3, 2, 1, 2, 0, 18, 14, 12, 12, 12, 8, 12, 3, 6, 6, 3, 0, 0), # 27
(13, 17, 12, 16, 10, 3, 4, 2, 6, 3, 4, 0, 0, 11, 18, 9, 8, 14, 5, 3, 9, 3, 6, 4, 2, 0), # 28
(26, 17, 13, 17, 7, 3, 5, 3, 5, 3, 0, 1, 0, 21, 17, 7, 12, 17, 13, 6, 4, 9, 1, 4, 3, 0), # 29
(22, 21, 10, 19, 21, 4, 2, 9, 6, 3, 0, 2, 0, 18, 9, 10, 15, 10, 14, 6, 6, 5, 5, 1, 2, 0), # 30
(15, 17, 7, 20, 11, 4, 3, 11, 3, 6, 1, 1, 0, 14, 14, 8, 7, 11, 10, 8, 4, 6, 1, 1, 1, 0), # 31
(17, 14, 11, 15, 14, 5, 10, 8, 8, 5, 2, 0, 0, 19, 18, 10, 6, 8, 5, 5, 7, 2, 6, 4, 1, 0), # 32
(17, 7, 17, 15, 15, 7, 6, 6, 4, 5, 5, 4, 0, 16, 13, 14, 10, 11, 11, 3, 4, 7, 5, 2, 1, 0), # 33
(20, 12, 7, 19, 7, 3, 8, 1, 6, 3, 2, 0, 0, 18, 14, 13, 5, 8, 10, 7, 4, 3, 3, 5, 2, 0), # 34
(13, 21, 11, 9, 11, 12, 7, 3, 5, 0, 4, 1, 0, 15, 14, 7, 9, 16, 8, 7, 2, 7, 4, 3, 2, 0), # 35
(21, 14, 14, 17, 13, 5, 4, 8, 8, 2, 3, 0, 0, 16, 16, 6, 13, 11, 7, 7, 4, 6, 4, 3, 3, 0), # 36
(11, 13, 10, 12, 10, 5, 10, 4, 6, 4, 3, 1, 0, 22, 12, 17, 6, 11, 10, 4, 4, 7, 5, 1, 1, 0), # 37
(15, 16, 10, 11, 12, 9, 6, 3, 6, 0, 0, 0, 0, 19, 16, 8, 8, 12, 10, 6, 6, 7, 7, 1, 2, 0), # 38
(20, 12, 16, 15, 12, 4, 6, 8, 1, 4, 2, 3, 0, 14, 14, 10, 7, 9, 9, 5, 5, 2, 5, 2, 0, 0), # 39
(16, 9, 14, 15, 10, 13, 3, 6, 10, 3, 2, 2, 0, 11, 12, 7, 10, 11, 10, 9, 2, 6, 3, 1, 1, 0), # 40
(14, 19, 17, 11, 4, 7, 14, 7, 9, 2, 0, 2, 0, 17, 4, 10, 12, 16, 7, 10, 3, 8, 3, 2, 2, 0), # 41
(17, 12, 8, 10, 11, 7, 2, 3, 5, 1, 2, 0, 0, 19, 13, 16, 7, 19, 4, 6, 1, 3, 6, 0, 2, 0), # 42
(14, 15, 11, 14, 4, 10, 7, 1, 4, 2, 1, 4, 0, 18, 13, 11, 10, 10, 4, 3, 5, 7, 3, 1, 0, 0), # 43
(18, 17, 14, 14, 8, 4, 8, 11, 3, 3, 0, 3, 0, 14, 14, 10, 6, 12, 7, 7, 0, 6, 2, 2, 3, 0), # 44
(11, 16, 18, 13, 14, 4, 7, 7, 8, 4, 7, 1, 0, 20, 12, 11, 5, 16, 8, 10, 5, 11, 2, 2, 3, 0), # 45
(14, 23, 13, 17, 9, 5, 4, 3, 7, 2, 5, 3, 0, 19, 18, 6, 6, 20, 12, 6, 7, 4, 10, 2, 3, 0), # 46
(15, 17, 11, 12, 14, 4, 10, 12, 6, 3, 1, 3, 0, 17, 13, 14, 15, 12, 9, 4, 4, 8, 3, 3, 4, 0), # 47
(25, 18, 12, 9, 11, 6, 10, 10, 4, 3, 3, 1, 0, 12, 12, 5, 9, 11, 12, 10, 5, 7, 3, 0, 0, 0), # 48
(20, 16, 16, 20, 9, 8, 2, 3, 10, 1, 2, 2, 0, 14, 10, 14, 16, 7, 5, 4, 2, 5, 4, 3, 2, 0), # 49
(18, 15, 18, 11, 7, 5, 15, 5, 6, 5, 0, 0, 0, 18, 23, 12, 9, 11, 9, 9, 2, 6, 5, 2, 3, 0), # 50
(16, 15, 17, 19, 12, 3, 12, 3, 6, 1, 0, 0, 0, 19, 8, 12, 8, 6, 10, 9, 4, 6, 6, 2, 1, 0), # 51
(16, 13, 16, 15, 18, 3, 7, 6, 5, 3, 3, 0, 0, 22, 12, 14, 8, 12, 7, 6, 2, 4, 4, 5, 0, 0), # 52
(21, 13, 11, 8, 13, 4, 3, 5, 7, 3, 3, 1, 0, 15, 14, 10, 11, 15, 12, 4, 2, 3, 3, 2, 1, 0), # 53
(12, 19, 19, 14, 12, 7, 5, 10, 6, 2, 3, 1, 0, 10, 9, 10, 6, 14, 11, 3, 3, 6, 8, 5, 0, 0), # 54
(11, 17, 20, 11, 6, 11, 6, 6, 2, 3, 2, 2, 0, 22, 14, 11, 7, 14, 7, 1, 8, 7, 5, 4, 1, 0), # 55
(13, 12, 10, 16, 13, 5, 8, 2, 5, 4, 2, 2, 0, 21, 17, 11, 8, 9, 7, 8, 8, 9, 5, 3, 3, 0), # 56
(14, 13, 7, 10, 14, 7, 9, 4, 6, 1, 1, 3, 0, 12, 13, 10, 6, 9, 4, 9, 1, 8, 4, 1, 0, 0), # 57
(13, 21, 10, 17, 12, 3, 6, 6, 5, 3, 2, 2, 0, 14, 7, 7, 12, 14, 8, 7, 3, 9, 7, 4, 4, 0), # 58
(12, 10, 9, 14, 21, 6, 12, 4, 7, 8, 2, 1, 0, 16, 15, 6, 9, 14, 9, 4, 2, 4, 5, 1, 0, 0), # 59
(11, 18, 20, 14, 9, 2, 7, 4, 7, 0, 2, 4, 0, 14, 12, 13, 5, 14, 9, 9, 4, 6, 7, 1, 0, 0), # 60
(20, 13, 10, 15, 9, 8, 6, 5, 6, 3, 2, 1, 0, 13, 11, 9, 4, 12, 4, 7, 13, 9, 2, 1, 1, 0), # 61
(16, 15, 12, 15, 15, 7, 10, 10, 6, 3, 1, 0, 0, 16, 17, 13, 8, 19, 9, 4, 3, 7, 6, 3, 1, 0), # 62
(21, 5, 14, 19, 12, 9, 5, 4, 10, 4, 2, 1, 0, 11, 14, 16, 10, 12, 5, 5, 2, 4, 6, 2, 2, 0), # 63
(14, 12, 14, 16, 7, 5, 0, 2, 5, 1, 2, 1, 0, 9, 14, 21, 11, 8, 12, 5, 5, 4, 3, 1, 1, 0), # 64
(18, 17, 11, 11, 9, 5, 4, 2, 11, 0, 1, 2, 0, 19, 16, 10, 11, 12, 5, 10, 5, 3, 4, 4, 2, 0), # 65
(26, 13, 8, 21, 14, 3, 7, 6, 4, 1, 1, 1, 0, 16, 10, 13, 8, 16, 4, 11, 4, 5, 6, 2, 0, 0), # 66
(18, 11, 20, 23, 8, 12, 9, 2, 3, 5, 4, 3, 0, 18, 13, 6, 10, 12, 9, 7, 2, 6, 7, 8, 1, 0), # 67
(17, 13, 16, 15, 12, 9, 3, 5, 4, 4, 1, 0, 0, 14, 16, 8, 7, 14, 7, 4, 3, 11, 9, 5, 3, 0), # 68
(16, 11, 14, 19, 9, 2, 7, 1, 11, 6, 4, 2, 0, 14, 12, 18, 7, 18, 2, 7, 2, 6, 3, 1, 0, 0), # 69
(13, 8, 22, 13, 10, 4, 2, 3, 6, 4, 1, 1, 0, 12, 13, 13, 7, 14, 8, 7, 2, 2, 3, 4, 2, 0), # 70
(15, 15, 11, 19, 10, 9, 5, 9, 7, 4, 2, 3, 0, 20, 10, 5, 8, 13, 3, 3, 6, 10, 8, 3, 3, 0), # 71
(17, 10, 9, 9, 14, 9, 6, 5, 4, 2, 1, 2, 0, 17, 14, 7, 8, 8, 4, 4, 7, 10, 2, 3, 1, 0), # 72
(9, 14, 9, 11, 17, 4, 5, 5, 3, 3, 0, 1, 0, 16, 8, 15, 11, 14, 12, 8, 3, 8, 2, 3, 3, 0), # 73
(10, 14, 20, 15, 14, 4, 0, 5, 7, 2, 3, 1, 0, 22, 12, 7, 9, 14, 9, 8, 1, 13, 0, 2, 2, 0), # 74
(14, 13, 19, 16, 9, 3, 3, 7, 4, 1, 6, 4, 0, 18, 14, 6, 8, 15, 3, 6, 6, 6, 5, 2, 0, 0), # 75
(23, 19, 17, 16, 9, 9, 6, 5, 3, 1, 3, 0, 0, 16, 15, 11, 9, 15, 12, 7, 5, 1, 1, 7, 3, 0), # 76
(11, 15, 6, 13, 13, 6, 6, 3, 4, 3, 2, 1, 0, 13, 11, 5, 10, 11, 8, 5, 5, 8, 3, 3, 1, 0), # 77
(14, 12, 12, 22, 10, 6, 9, 7, 5, 2, 1, 0, 0, 17, 21, 14, 10, 11, 8, 9, 8, 6, 6, 4, 3, 0), # 78
(22, 19, 17, 14, 10, 2, 5, 6, 6, 1, 2, 4, 0, 19, 8, 16, 7, 8, 8, 5, 3, 5, 4, 2, 0, 0), # 79
(16, 10, 10, 9, 10, 5, 5, 4, 6, 1, 2, 0, 0, 23, 12, 9, 11, 19, 6, 2, 3, 5, 2, 5, 1, 0), # 80
(24, 12, 12, 12, 10, 6, 10, 4, 6, 5, 6, 1, 0, 17, 15, 6, 11, 15, 10, 6, 4, 6, 5, 2, 2, 0), # 81
(16, 17, 12, 15, 10, 2, 4, 4, 3, 4, 1, 1, 0, 21, 17, 8, 10, 13, 5, 4, 4, 5, 3, 2, 2, 0), # 82
(17, 8, 15, 15, 12, 7, 9, 5, 10, 2, 4, 0, 0, 15, 17, 9, 7, 17, 4, 6, 5, 3, 5, 2, 2, 0), # 83
(11, 16, 10, 12, 9, 5, 8, 5, 5, 3, 4, 0, 0, 18, 14, 13, 6, 12, 4, 6, 6, 6, 4, 0, 1, 0), # 84
(14, 18, 11, 11, 10, 9, 6, 7, 4, 3, 0, 0, 0, 13, 17, 16, 8, 15, 9, 3, 4, 7, 5, 2, 1, 0), # 85
(13, 14, 14, 11, 12, 5, 4, 5, 4, 1, 2, 1, 0, 21, 13, 8, 9, 7, 3, 4, 5, 6, 2, 2, 2, 0), # 86
(20, 10, 15, 18, 8, 4, 7, 6, 8, 0, 4, 2, 0, 19, 19, 10, 8, 6, 8, 8, 6, 5, 4, 3, 1, 0), # 87
(19, 17, 14, 16, 8, 7, 5, 9, 2, 1, 1, 3, 0, 13, 9, 13, 7, 12, 10, 4, 5, 9, 8, 2, 1, 0), # 88
(24, 10, 17, 11, 6, 7, 6, 5, 7, 3, 2, 1, 0, 12, 10, 8, 8, 10, 5, 4, 5, 7, 3, 4, 1, 0), # 89
(11, 15, 12, 12, 10, 6, 2, 5, 4, 5, 3, 1, 0, 13, 9, 16, 6, 21, 3, 4, 1, 2, 6, 2, 0, 0), # 90
(15, 7, 20, 20, 7, 4, 4, 3, 5, 4, 2, 2, 0, 21, 17, 9, 7, 10, 7, 7, 6, 3, 4, 3, 0, 0), # 91
(17, 13, 11, 12, 19, 5, 5, 5, 10, 4, 1, 0, 0, 13, 20, 8, 7, 24, 6, 7, 3, 6, 1, 4, 0, 0), # 92
(19, 18, 14, 13, 13, 5, 5, 4, 8, 1, 1, 2, 0, 12, 15, 9, 4, 19, 5, 2, 2, 6, 4, 3, 4, 0), # 93
(17, 9, 16, 12, 17, 8, 6, 3, 7, 4, 2, 1, 0, 15, 14, 8, 7, 13, 5, 5, 7, 9, 7, 1, 0, 0), # 94
(11, 9, 19, 16, 11, 7, 4, 11, 8, 1, 5, 1, 0, 12, 13, 9, 6, 7, 9, 5, 1, 4, 6, 5, 0, 0), # 95
(16, 6, 12, 17, 12, 7, 3, 8, 4, 2, 0, 1, 0, 21, 17, 9, 7, 14, 3, 7, 3, 4, 3, 0, 0, 0), # 96
(24, 9, 13, 10, 9, 8, 3, 4, 4, 4, 2, 1, 0, 17, 16, 12, 4, 11, 2, 5, 4, 5, 9, 4, 0, 0), # 97
(10, 12, 12, 13, 14, 5, 9, 5, 7, 3, 0, 1, 0, 16, 5, 9, 7, 12, 6, 5, 2, 6, 4, 2, 0, 0), # 98
(7, 11, 18, 10, 8, 9, 6, 5, 5, 3, 2, 1, 0, 15, 12, 12, 9, 16, 4, 12, 1, 4, 5, 2, 0, 0), # 99
(8, 18, 18, 19, 11, 5, 11, 8, 4, 1, 3, 3, 0, 25, 20, 14, 6, 14, 3, 4, 6, 9, 4, 3, 1, 0), # 100
(15, 11, 12, 16, 6, 3, 3, 6, 3, 1, 2, 4, 0, 19, 14, 12, 14, 10, 7, 4, 7, 5, 3, 3, 0, 0), # 101
(26, 9, 10, 9, 13, 12, 3, 5, 6, 4, 2, 1, 0, 27, 13, 8, 9, 12, 5, 7, 4, 6, 2, 1, 3, 0), # 102
(18, 18, 15, 9, 8, 6, 7, 2, 6, 2, 2, 1, 0, 14, 10, 11, 7, 13, 14, 6, 3, 9, 5, 9, 2, 0), # 103
(18, 13, 10, 22, 7, 3, 4, 5, 9, 3, 1, 1, 0, 18, 11, 16, 2, 8, 5, 7, 1, 8, 6, 4, 2, 0), # 104
(16, 14, 11, 15, 10, 5, 1, 5, 3, 0, 0, 1, 0, 16, 16, 6, 8, 11, 9, 6, 7, 5, 3, 3, 0, 0), # 105
(11, 14, 13, 17, 10, 5, 3, 5, 9, 3, 2, 0, 0, 24, 15, 6, 11, 10, 4, 7, 1, 3, 3, 7, 0, 0), # 106
(19, 12, 13, 10, 11, 3, 3, 5, 4, 2, 0, 1, 0, 17, 12, 1, 5, 17, 7, 5, 3, 8, 5, 0, 0, 0), # 107
(9, 9, 16, 17, 7, 6, 2, 0, 4, 2, 3, 1, 0, 14, 7, 13, 8, 15, 6, 7, 0, 7, 4, 5, 2, 0), # 108
(20, 6, 9, 16, 4, 7, 4, 7, 6, 1, 2, 0, 0, 21, 16, 6, 8, 17, 4, 5, 1, 1, 2, 1, 8, 0), # 109
(18, 9, 10, 14, 16, 9, 3, 6, 9, 1, 1, 2, 0, 16, 11, 7, 4, 8, 6, 7, 4, 11, 7, 2, 1, 0), # 110
(16, 10, 12, 10, 10, 5, 2, 3, 10, 3, 0, 1, 0, 14, 9, 12, 6, 12, 7, 5, 6, 5, 4, 2, 2, 0), # 111
(17, 18, 13, 12, 7, 4, 6, 6, 4, 2, 4, 0, 0, 23, 13, 12, 5, 12, 7, 0, 6, 7, 2, 5, 0, 0), # 112
(10, 11, 10, 15, 11, 4, 4, 3, 10, 1, 1, 0, 0, 16, 14, 8, 7, 10, 7, 1, 5, 8, 5, 2, 4, 0), # 113
(14, 14, 15, 13, 11, 9, 4, 2, 3, 1, 4, 2, 0, 15, 16, 7, 10, 10, 2, 5, 9, 5, 6, 1, 0, 0), # 114
(18, 13, 13, 8, 19, 3, 1, 3, 4, 3, 4, 1, 0, 12, 10, 6, 10, 6, 3, 2, 5, 5, 4, 3, 0, 0), # 115
(15, 16, 9, 12, 11, 4, 3, 2, 4, 4, 0, 1, 0, 13, 14, 5, 8, 12, 7, 3, 4, 8, 2, 5, 3, 0), # 116
(15, 14, 11, 15, 11, 2, 3, 1, 5, 2, 3, 1, 0, 8, 7, 9, 8, 13, 5, 4, 4, 12, 4, 0, 0, 0), # 117
(13, 11, 12, 14, 17, 3, 4, 2, 5, 4, 0, 1, 0, 10, 13, 10, 7, 14, 7, 2, 5, 6, 6, 4, 2, 0), # 118
(14, 5, 9, 13, 8, 4, 3, 2, 3, 3, 1, 2, 0, 19, 15, 7, 7, 17, 3, 4, 4, 7, 5, 3, 2, 0), # 119
(17, 13, 9, 17, 12, 2, 5, 2, 7, 3, 2, 3, 0, 10, 18, 8, 9, 9, 7, 5, 4, 7, 10, 0, 2, 0), # 120
(13, 11, 11, 13, 12, 2, 3, 1, 6, 5, 0, 0, 0, 13, 12, 4, 13, 6, 11, 2, 3, 5, 3, 2, 0, 0), # 121
(15, 12, 14, 11, 12, 4, 4, 10, 4, 1, 7, 0, 0, 20, 12, 10, 5, 12, 1, 4, 7, 8, 2, 3, 1, 0), # 122
(21, 14, 13, 11, 10, 6, 6, 4, 10, 1, 1, 4, 0, 11, 12, 13, 3, 14, 9, 2, 3, 6, 7, 4, 3, 0), # 123
(10, 9, 13, 8, 14, 3, 7, 13, 4, 0, 0, 1, 0, 12, 13, 16, 7, 18, 3, 7, 2, 7, 3, 0, 0, 0), # 124
(10, 10, 9, 12, 13, 1, 6, 4, 6, 3, 4, 0, 0, 15, 14, 13, 8, 12, 8, 1, 3, 9, 8, 3, 0, 0), # 125
(14, 13, 15, 10, 6, 4, 3, 2, 7, 2, 2, 0, 0, 18, 10, 10, 4, 18, 6, 3, 3, 6, 4, 1, 0, 0), # 126
(16, 10, 16, 8, 11, 4, 1, 10, 5, 6, 2, 2, 0, 14, 12, 10, 16, 8, 4, 7, 5, 10, 7, 2, 0, 0), # 127
(3, 11, 13, 15, 7, 8, 2, 3, 3, 4, 0, 0, 0, 19, 16, 6, 6, 14, 5, 5, 3, 9, 7, 1, 2, 0), # 128
(8, 12, 12, 11, 7, 5, 3, 4, 2, 2, 2, 0, 0, 21, 6, 5, 5, 18, 7, 2, 3, 3, 3, 3, 1, 0), # 129
(17, 8, 14, 10, 5, 3, 6, 5, 5, 3, 2, 2, 0, 10, 16, 8, 5, 17, 4, 5, 2, 7, 0, 1, 2, 0), # 130
(15, 3, 16, 15, 17, 3, 4, 1, 2, 1, 0, 3, 0, 12, 6, 2, 2, 10, 3, 7, 6, 6, 3, 3, 0, 0), # 131
(9, 11, 10, 12, 10, 1, 6, 3, 9, 4, 1, 1, 0, 13, 16, 9, 7, 10, 3, 5, 5, 4, 8, 1, 1, 0), # 132
(12, 13, 10, 21, 5, 6, 4, 7, 6, 3, 2, 2, 0, 13, 12, 6, 11, 11, 12, 5, 8, 1, 3, 1, 1, 0), # 133
(14, 10, 13, 16, 8, 9, 2, 3, 6, 3, 1, 1, 0, 18, 9, 10, 4, 17, 5, 1, 8, 6, 7, 4, 1, 0), # 134
(9, 5, 12, 7, 10, 3, 5, 5, 2, 4, 1, 0, 0, 12, 6, 10, 8, 13, 7, 3, 2, 5, 5, 1, 1, 0), # 135
(15, 7, 11, 11, 14, 5, 5, 3, 3, 3, 1, 1, 0, 8, 10, 6, 6, 13, 7, 7, 4, 4, 3, 4, 1, 0), # 136
(8, 12, 12, 9, 15, 5, 4, 3, 1, 4, 1, 5, 0, 18, 19, 11, 9, 12, 2, 5, 4, 5, 5, 2, 1, 0), # 137
(14, 6, 13, 13, 11, 3, 3, 2, 4, 3, 0, 3, 0, 16, 13, 5, 4, 10, 6, 3, 5, 3, 3, 5, 1, 0), # 138
(16, 10, 16, 9, 5, 7, 2, 4, 11, 0, 3, 2, 0, 13, 16, 8, 6, 4, 4, 4, 6, 7, 5, 4, 0, 0), # 139
(17, 8, 11, 15, 9, 8, 7, 3, 8, 4, 2, 0, 0, 14, 13, 10, 7, 13, 1, 7, 2, 3, 4, 5, 1, 0), # 140
(12, 13, 6, 18, 9, 9, 3, 5, 6, 2, 1, 2, 0, 16, 11, 7, 10, 11, 7, 6, 1, 6, 4, 1, 2, 0), # 141
(17, 8, 23, 6, 10, 3, 0, 5, 3, 3, 3, 0, 0, 17, 8, 12, 7, 8, 5, 7, 5, 2, 2, 3, 1, 0), # 142
(10, 7, 11, 12, 9, 4, 8, 5, 5, 0, 2, 0, 0, 11, 9, 5, 5, 11, 3, 8, 6, 6, 4, 2, 0, 0), # 143
(9, 15, 12, 15, 7, 6, 6, 5, 2, 2, 2, 1, 0, 14, 7, 6, 8, 14, 5, 3, 5, 11, 5, 1, 2, 0), # 144
(16, 7, 6, 11, 12, 5, 5, 8, 3, 3, 1, 1, 0, 13, 14, 6, 7, 18, 6, 3, 4, 5, 3, 2, 1, 0), # 145
(14, 15, 20, 9, 17, 2, 3, 6, 4, 1, 0, 0, 0, 15, 10, 8, 5, 7, 3, 5, 5, 3, 6, 0, 2, 0), # 146
(16, 9, 8, 11, 20, 8, 2, 4, 6, 2, 3, 0, 0, 11, 10, 8, 2, 11, 7, 2, 3, 1, 1, 2, 1, 0), # 147
(9, 9, 9, 11, 11, 6, 2, 6, 4, 2, 0, 0, 0, 15, 12, 6, 2, 10, 3, 1, 2, 5, 5, 2, 0, 0), # 148
(17, 5, 10, 11, 6, 4, 6, 5, 6, 3, 1, 2, 0, 10, 13, 9, 6, 13, 5, 6, 5, 4, 1, 3, 1, 0), # 149
(16, 8, 16, 11, 12, 5, 3, 5, 4, 3, 3, 1, 0, 17, 4, 9, 11, 8, 7, 4, 3, 4, 3, 1, 0, 0), # 150
(7, 12, 8, 16, 5, 3, 5, 4, 7, 2, 5, 1, 0, 19, 13, 7, 4, 6, 4, 3, 4, 3, 6, 2, 0, 0), # 151
(11, 2, 17, 6, 9, 5, 2, 5, 3, 1, 1, 0, 0, 12, 12, 5, 5, 8, 2, 0, 2, 8, 2, 1, 1, 0), # 152
(6, 9, 9, 9, 12, 8, 11, 4, 3, 4, 0, 2, 0, 11, 10, 6, 8, 14, 9, 2, 5, 5, 4, 2, 1, 0), # 153
(9, 7, 11, 13, 5, 3, 3, 3, 4, 3, 2, 0, 0, 8, 7, 9, 9, 13, 7, 5, 6, 6, 6, 4, 1, 0), # 154
(13, 8, 13, 16, 9, 0, 4, 8, 4, 0, 2, 0, 0, 14, 7, 5, 4, 14, 2, 3, 5, 2, 4, 1, 2, 0), # 155
(15, 7, 11, 6, 7, 7, 5, 3, 6, 1, 2, 0, 0, 15, 5, 6, 5, 8, 0, 2, 0, 6, 1, 2, 0, 0), # 156
(17, 9, 15, 10, 14, 4, 2, 3, 4, 0, 0, 1, 0, 8, 12, 8, 5, 11, 5, 4, 0, 4, 2, 2, 2, 0), # 157
(17, 9, 8, 15, 11, 7, 3, 3, 9, 1, 0, 0, 0, 13, 14, 5, 4, 10, 4, 5, 5, 7, 3, 3, 0, 0), # 158
(11, 7, 19, 8, 7, 3, 1, 3, 3, 1, 2, 1, 0, 15, 12, 6, 9, 8, 3, 3, 3, 5, 3, 4, 2, 0), # 159
(17, 5, 11, 16, 6, 4, 5, 5, 4, 2, 0, 0, 0, 13, 12, 8, 6, 13, 4, 4, 2, 4, 3, 2, 2, 0), # 160
(16, 5, 7, 10, 8, 5, 5, 3, 6, 4, 2, 0, 0, 10, 2, 9, 2, 14, 3, 3, 2, 5, 3, 1, 0, 0), # 161
(12, 11, 9, 11, 11, 8, 1, 3, 7, 5, 1, 0, 0, 11, 6, 5, 10, 6, 5, 3, 3, 8, 5, 1, 0, 0), # 162
(14, 8, 14, 13, 8, 6, 4, 8, 3, 4, 1, 1, 0, 8, 11, 12, 4, 11, 5, 9, 1, 6, 4, 2, 3, 0), # 163
(10, 7, 8, 7, 13, 10, 3, 2, 5, 1, 1, 0, 0, 16, 10, 7, 4, 9, 3, 3, 3, 5, 2, 1, 0, 0), # 164
(11, 2, 7, 8, 3, 4, 4, 2, 1, 5, 1, 2, 0, 12, 12, 7, 2, 6, 5, 10, 6, 6, 5, 2, 0, 0), # 165
(10, 11, 9, 9, 7, 3, 5, 3, 6, 1, 0, 2, 0, 11, 11, 6, 3, 5, 5, 5, 2, 4, 3, 1, 0, 0), # 166
(10, 9, 9, 10, 10, 4, 0, 3, 2, 1, 3, 1, 0, 12, 10, 5, 7, 12, 2, 4, 6, 2, 5, 0, 2, 0), # 167
(11, 6, 11, 14, 6, 1, 6, 1, 6, 1, 1, 2, 0, 12, 7, 5, 2, 14, 3, 2, 2, 2, 7, 0, 0, 0), # 168
(5, 6, 4, 11, 12, 3, 2, 5, 4, 1, 2, 1, 0, 6, 9, 8, 5, 10, 5, 1, 2, 3, 3, 2, 0, 0), # 169
(8, 4, 6, 5, 10, 10, 2, 2, 4, 2, 1, 1, 0, 15, 10, 12, 3, 8, 4, 1, 5, 6, 3, 0, 0, 0), # 170
(8, 1, 8, 7, 3, 4, 8, 3, 4, 1, 1, 2, 0, 8, 9, 7, 1, 14, 2, 4, 0, 4, 0, 0, 1, 0), # 171
(4, 4, 4, 12, 7, 4, 7, 1, 5, 2, 0, 1, 0, 12, 6, 8, 4, 7, 4, 5, 0, 2, 2, 1, 0, 0), # 172
(14, 5, 6, 6, 6, 1, 4, 3, 4, 1, 2, 1, 0, 8, 7, 4, 5, 7, 4, 4, 2, 3, 4, 2, 1, 0), # 173
(12, 5, 9, 8, 8, 7, 3, 2, 4, 0, 1, 1, 0, 8, 10, 4, 3, 9, 2, 2, 0, 3, 3, 0, 0, 0), # 174
(8, 5, 9, 8, 6, 4, 2, 3, 2, 3, 0, 0, 0, 9, 6, 3, 4, 13, 2, 0, 1, 6, 2, 2, 0, 0), # 175
(9, 2, 7, 9, 7, 3, 2, 0, 2, 3, 0, 1, 0, 4, 6, 4, 4, 3, 4, 3, 1, 3, 3, 1, 0, 0), # 176
(3, 2, 8, 7, 8, 1, 4, 4, 2, 3, 2, 0, 0, 9, 5, 2, 3, 8, 3, 1, 1, 0, 2, 1, 0, 0), # 177
(7, 4, 6, 10, 7, 4, 1, 2, 3, 0, 0, 0, 0, 8, 3, 6, 3, 6, 0, 0, 0, 0, 4, 4, 0, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(8.033384925394829, 8.840461695509067, 8.33805316738001, 9.943468438181492, 8.887496972175379, 5.021847891259743, 6.6336569845982645, 7.445081876767077, 9.744158499468812, 6.332824024835792, 6.728424262216965, 7.836664125289878, 8.134208340125381), # 0
(8.566923443231959, 9.424097110631614, 8.888554546128244, 10.600230805242587, 9.475984539958779, 5.353573734468089, 7.07115030602191, 7.9352219566491335, 10.387592522132655, 6.75036910764344, 7.172953817529811, 8.353946657302968, 8.671666635903767), # 1
(9.09875681436757, 10.005416273425567, 9.436867656875862, 11.254380327463672, 10.062340757999591, 5.683976183219912, 7.506909612737127, 8.423400396647072, 11.028458891004078, 7.166262040032874, 7.615717038042101, 8.869172243284888, 9.206983725135505), # 2
(9.6268124690345, 10.582112803098315, 9.980817390911767, 11.903322252051318, 10.644258681603043, 6.011744996136181, 7.939205826636729, 8.907681851991212, 11.664216257473749, 7.578852317481889, 8.054957458923813, 9.380297095888738, 9.738036490006762), # 3
(10.149017837465571, 11.15188031885724, 10.518228639524859, 12.544461826212112, 11.219431366074389, 6.335569931837869, 8.366309869613534, 9.386130977911865, 12.292323272932332, 7.986489435468286, 8.48891861534492, 9.885277427767623, 10.262701812703709), # 4
(10.663300349893618, 11.712412439909741, 11.04692629400403, 13.17520429715263, 11.785551866718848, 6.654140748945943, 8.786492663560358, 9.856812429639348, 12.910238588770495, 8.387522889469862, 8.915844042475412, 10.382069451574637, 10.778856575412524), # 5
(11.167587436551466, 12.261402785463202, 11.564735245638186, 13.792954912079445, 12.34031323884167, 6.9661472060813825, 9.19802513037002, 10.317790862403982, 13.515420856378904, 8.780302174964413, 9.333977275485251, 10.868629379962893, 11.284377660319372), # 6
(11.65980652767195, 12.79654497472501, 12.069480385716217, 14.39511891819914, 12.881408537748086, 7.270279061865153, 9.599178191935335, 10.767130931436084, 14.105328727148231, 9.16317678742974, 9.74156184954443, 11.342913425585486, 11.777141949610431), # 7
(12.137885053487896, 13.31553262690256, 12.558986605527034, 14.979101562718284, 13.406530818743338, 7.565226074918224, 9.988222770149116, 11.20289729196596, 14.67742085246913, 9.53449622234364, 10.136841299822914, 11.802877801095525, 12.255026325471867), # 8
(12.599750444232136, 13.816059361203237, 13.031078796359527, 15.54230809284347, 13.913373137132655, 7.849678003861574, 10.363429786904192, 11.623154599223941, 15.229155883732279, 9.892609975183907, 10.518059161490685, 12.246478719146102, 12.71590767008986), # 9
(13.043330130137491, 14.295818796834425, 13.483581849502599, 16.08214375578126, 14.399628548221282, 8.122324607316171, 10.723070164093368, 12.025967508440338, 15.757992472328343, 10.235867541428343, 10.883458969717719, 12.671672392390324, 13.157662865650577), # 10
(13.466551541436809, 14.752504553003531, 13.914320656245145, 16.596013798738237, 14.862990107314454, 8.38185564390299, 11.065414823609466, 12.409400674845465, 16.26138926964799, 10.56261841655475, 11.231284259673998, 13.076415033481297, 13.57816879434018), # 11
(13.8673421083629, 15.183810248917917, 14.321120107876064, 17.08132346892098, 15.301150869717404, 8.626960872242991, 11.388734687345298, 12.771518753669634, 16.736804927081888, 10.871212096040916, 11.559778566529495, 13.45866285507211, 13.975302338344855), # 12
(14.243629261148602, 15.587429503784993, 14.701805095684259, 17.53547801353607, 15.711803890735363, 8.856330050957158, 11.69130067719369, 13.11038640014317, 17.181698096020693, 11.159998075364648, 11.86718542545419, 13.816372069815873, 14.346940379850777), # 13
(14.593340430026746, 15.961055936812143, 15.054200510958635, 17.95588267979007, 16.092642225673583, 9.068652938666455, 11.971383715047459, 13.424068269496395, 17.593527427855076, 11.427325850003735, 12.151748371618055, 14.147498890365696, 14.690959801044102), # 14
(14.914403045230168, 16.30238316720675, 15.376131244988068, 18.339942714889578, 16.441358929837293, 9.26261929399186, 12.227254722799401, 13.71062901695961, 17.96975157397571, 11.671544915435986, 12.411710940191071, 14.449999529374674, 15.00523748411101), # 15
(15.204744536991681, 16.609104814176213, 15.66542218906148, 18.685063366041145, 16.755647058531732, 9.436918875554335, 12.457184622342362, 13.968133297763139, 18.307829185773258, 11.891004767139194, 12.64531666634322, 14.721830199495905, 15.287650311237673), # 16
(15.46229233554412, 16.878914496927916, 15.919898234467764, 18.98864988045138, 17.033199667062142, 9.590241441974857, 12.659444335569138, 14.19464576713731, 18.605218914638375, 12.084054900591148, 12.850809085244478, 14.960947113382488, 15.536075164610265), # 17
(15.684973871120327, 17.10950583466924, 16.137384272495808, 19.248107505326846, 17.271709810733743, 9.721276751874406, 12.832304784372562, 14.388231080312417, 18.859379411961754, 12.249044811269659, 13.026431732064815, 15.165306483687544, 15.748388926414954), # 18
(15.870716573953118, 17.29857244660759, 16.315705194434525, 19.460841487874106, 17.468870544851786, 9.828714563873934, 12.974036890645431, 14.546953892518793, 19.067769329134048, 12.384323994652526, 13.170428141974206, 15.332864523064154, 15.922468478837914), # 19
(16.01744787427533, 17.44380795195034, 16.452685891572806, 19.624257075299766, 17.62237492472151, 9.91124463659443, 13.08291157628058, 14.668878858986748, 19.22784731754592, 12.488241946217535, 13.28104185014264, 15.461577444165426, 16.05619070406532), # 20
(16.123095202319785, 17.542905969904893, 16.54615125519955, 19.73575951481038, 17.729916005648143, 9.967556728656858, 13.157199763170816, 14.752070634946598, 19.337072028588036, 12.559148161442488, 13.356516391740096, 15.54940145964447, 16.147432484283325), # 21
(16.18558598831933, 17.59356011967863, 16.593926176603656, 19.79275405361254, 17.78918684293692, 9.996340598682188, 13.19517237320896, 14.794593875628664, 19.392902113651065, 12.595392135805188, 13.395095301936545, 15.594292782154383, 16.194070701678125), # 22
(16.208629381348224, 17.599557750342935, 16.599877091906723, 19.799889300411525, 17.804371289652156, 10.0, 13.199686403614942, 14.79919012345679, 19.399881975308645, 12.599667636031093, 13.399932859458785, 15.599836122542294, 16.2), # 23
(16.225619860854646, 17.59605925925926, 16.598903703703705, 19.799011111111113, 17.812972181783763, 10.0, 13.197206100217867, 14.7928, 19.398946666666667, 12.59704098765432, 13.39939932659933, 15.598538271604937, 16.2), # 24
(16.242251568338528, 17.589163237311386, 16.59698216735254, 19.797273662551444, 17.821383912951205, 10.0, 13.192318244170096, 14.78024691358025, 19.3970987654321, 12.591870141746686, 13.39834143908218, 15.595976223136716, 16.2), # 25
(16.258523230476854, 17.578975034293556, 16.594138820301787, 19.79469670781893, 17.82960618947377, 10.0, 13.185098749293955, 14.76176790123457, 19.39436197530864, 12.58424113397348, 13.396768774161368, 15.592185093735715, 16.2), # 26
(16.27443357394662, 17.5656, 16.5904, 19.7913, 17.837638717670742, 10.0, 13.175623529411766, 14.7376, 19.39076, 12.57424, 13.39469090909091, 15.587200000000003, 16.2), # 27
(16.2899813254248, 17.549143484224967, 16.585792043895747, 19.787103292181072, 17.845481203861443, 10.0, 13.163968498345842, 14.707980246913582, 19.386316543209876, 12.561952775491541, 13.39211742112483, 15.581056058527665, 16.2), # 28
(16.3051652115884, 17.52971083676269, 16.580341289437587, 19.78212633744856, 17.853133354365152, 10.0, 13.150209569918506, 14.673145679012345, 19.381055308641976, 12.547465496113398, 13.389057887517147, 15.57378838591678, 16.2), # 29
(16.319983959114396, 17.50740740740741, 16.574074074074073, 19.77638888888889, 17.860594875501178, 10.0, 13.13442265795207, 14.633333333333333, 19.375, 12.530864197530866, 13.385521885521886, 15.56543209876543, 16.2), # 30
(16.334436294679772, 17.482338545953365, 16.567016735253773, 19.76991069958848, 17.867865473588814, 10.0, 13.116683676268863, 14.588780246913581, 19.368174320987656, 12.512234915409238, 13.381518992393067, 15.556022313671699, 16.2), # 31
(16.34852094496153, 17.45460960219479, 16.55919561042524, 19.762711522633747, 17.874944854947355, 10.0, 13.097068538691198, 14.539723456790126, 19.360601975308644, 12.49166368541381, 13.377058785384712, 15.545594147233656, 16.2), # 32
(16.362236636636634, 17.424325925925924, 16.55063703703704, 19.75481111111111, 17.8818327258961, 10.0, 13.075653159041394, 14.486400000000001, 19.352306666666667, 12.469236543209878, 13.372150841750841, 15.534182716049381, 16.2), # 33
(16.375582096382097, 17.391592866941014, 16.541367352537723, 19.746229218106997, 17.888528792754347, 10.0, 13.052513451141776, 14.429046913580246, 19.343312098765438, 12.445039524462736, 13.36680473874548, 15.521823136716964, 16.2), # 34
(16.388556050874893, 17.356515775034293, 16.53141289437586, 19.736985596707818, 17.895032761841392, 10.0, 13.027725328814654, 14.367901234567903, 19.333641975308645, 12.419158664837678, 13.361030053622645, 15.508550525834478, 16.2), # 35
(16.40115722679201, 17.3192, 16.5208, 19.7271, 17.901344339476537, 10.0, 13.001364705882352, 14.303200000000002, 19.32332, 12.391680000000001, 13.354836363636364, 15.494400000000002, 16.2), # 36
(16.41338435081044, 17.27975089163237, 16.50955500685871, 19.71659218106996, 17.907463231979076, 10.0, 12.97350749616719, 14.23518024691358, 19.31236987654321, 12.362689565615, 13.348233246040657, 15.479406675811616, 16.2), # 37
(16.425236149607162, 17.238273799725654, 16.49770425240055, 19.70548189300412, 17.913389145668305, 10.0, 12.944229613491487, 14.164079012345681, 19.300815308641976, 12.332273397347967, 13.341230278089538, 15.4636056698674, 16.2), # 38
(16.436711349859177, 17.194874074074075, 16.485274074074077, 19.69378888888889, 17.919121786863524, 10.0, 12.913606971677561, 14.090133333333334, 19.288680000000003, 12.300517530864198, 13.333837037037037, 15.447032098765431, 16.2), # 39
(16.44780867824346, 17.149657064471878, 16.472290809327845, 19.6815329218107, 17.924660861884032, 10.0, 12.88171548454773, 14.013580246913584, 19.27598765432099, 12.267508001828991, 13.326063100137175, 15.429721079103798, 16.2), # 40
(16.458526861437004, 17.102728120713305, 16.458780795610426, 19.66873374485597, 17.930006077049125, 10.0, 12.848631065924312, 13.934656790123459, 19.262761975308642, 12.233330845907636, 13.317918044643973, 15.411707727480568, 16.2), # 41
(16.4688646261168, 17.054192592592596, 16.444770370370374, 19.655411111111114, 17.935157138678093, 10.0, 12.814429629629629, 13.8536, 19.24902666666667, 12.198072098765433, 13.30941144781145, 15.393027160493828, 16.2), # 42
(16.47882069895983, 17.00415582990398, 16.430285871056242, 19.641584773662554, 17.940113753090245, 10.0, 12.779187089486001, 13.770646913580249, 19.234805432098767, 12.161817796067673, 13.300552886893627, 15.373714494741657, 16.2), # 43
(16.488393806643085, 16.9527231824417, 16.4153536351166, 19.62727448559671, 17.944875626604873, 10.0, 12.742979359315743, 13.686034567901238, 19.220121975308643, 12.124653973479653, 13.291351939144532, 15.353804846822133, 16.2), # 44
(16.497582675843546, 16.900000000000002, 16.400000000000002, 19.6125, 17.949442465541274, 10.0, 12.705882352941178, 13.600000000000001, 19.205, 12.086666666666668, 13.281818181818181, 15.333333333333332, 16.2), # 45
(16.50638603323821, 16.846091632373113, 16.384251303155008, 19.59728106995885, 17.953813976218747, 10.0, 12.667971984184621, 13.512780246913582, 19.189463209876543, 12.04794191129401, 13.271961192168598, 15.312335070873344, 16.2), # 46
(16.514802605504055, 16.79110342935528, 16.36813388203018, 19.581637448559672, 17.957989864956588, 10.0, 12.629324166868395, 13.424612345679012, 19.173535308641977, 12.008565743026978, 13.261790547449806, 15.29084517604024, 16.2), # 47
(16.522831119318074, 16.735140740740743, 16.351674074074076, 19.565588888888893, 17.961969838074097, 10.0, 12.590014814814815, 13.335733333333335, 19.15724, 11.968624197530865, 13.251315824915824, 15.268898765432098, 16.2), # 48
(16.53047030135726, 16.67830891632373, 16.334898216735255, 19.549155144032923, 17.965753601890572, 10.0, 12.550119841846204, 13.246380246913581, 19.14060098765432, 11.928203310470966, 13.240546601820677, 15.246530955647007, 16.2), # 49
(16.537718878298588, 16.620713305898494, 16.31783264746228, 19.53235596707819, 17.969340862725304, 10.0, 12.50971516178488, 13.15679012345679, 19.12364197530864, 11.887389117512575, 13.22949245541838, 15.223776863283039, 16.2), # 50
(16.544575576819057, 16.56245925925926, 16.300503703703704, 19.515211111111114, 17.9727313268976, 10.0, 12.46887668845316, 13.0672, 19.10638666666667, 11.846267654320988, 13.218162962962964, 15.200671604938274, 16.2), # 51
(16.551039123595647, 16.503652126200276, 16.282937722908095, 19.497740329218107, 17.975924700726743, 10.0, 12.427680335673365, 12.977846913580246, 19.0888587654321, 11.8049249565615, 13.206567701708444, 15.177250297210794, 16.2), # 52
(16.55710824530535, 16.444397256515778, 16.26516104252401, 19.479963374485596, 17.978920690532046, 10.0, 12.386202017267813, 12.888967901234569, 19.071081975308644, 11.763447059899406, 13.194716248908842, 15.153548056698675, 16.2), # 53
(16.562781668625146, 16.384800000000002, 16.2472, 19.4619, 17.981719002632804, 10.0, 12.344517647058824, 12.800799999999999, 19.05308, 11.72192, 13.18261818181818, 15.1296, 16.2), # 54
(16.568058120232035, 16.324965706447188, 16.229080932784637, 19.443569958847736, 17.984319343348304, 10.0, 12.302703138868717, 12.71358024691358, 19.034876543209876, 11.68042981252858, 13.170283077690485, 15.10544124371285, 16.2), # 55
(16.572936326802996, 16.264999725651577, 16.210830178326475, 19.424993004115226, 17.986721418997856, 10.0, 12.26083440651981, 12.627545679012346, 19.016495308641975, 11.639062533150437, 13.157720513779774, 15.0811069044353, 16.2), # 56
(16.577415015015013, 16.205007407407408, 16.192474074074077, 19.40618888888889, 17.988924935900748, 10.0, 12.218987363834422, 12.542933333333336, 18.997960000000003, 11.597904197530866, 13.144940067340068, 15.056632098765432, 16.2), # 57
(16.581492911545087, 16.145094101508917, 16.174038957475997, 19.387177366255145, 17.99092960037628, 10.0, 12.177237924634875, 12.459980246913581, 18.979294320987655, 11.557040841335164, 13.131951315625393, 15.032051943301326, 16.2), # 58
(16.585168743070195, 16.085365157750342, 16.155551165980796, 19.367978189300413, 17.992735118743752, 10.0, 12.135662002743485, 12.378923456790124, 18.960521975308644, 11.516558500228626, 13.11876383588976, 15.007401554641062, 16.2), # 59
(16.588441236267325, 16.02592592592593, 16.137037037037036, 19.34861111111111, 17.99434119732246, 10.0, 12.094335511982571, 12.3, 18.94166666666667, 11.476543209876544, 13.105387205387206, 14.982716049382717, 16.2), # 60
(16.591309117813463, 15.966881755829906, 16.11852290809328, 19.329095884773665, 17.995747542431697, 10.0, 12.053334366174454, 12.223446913580247, 18.922752098765432, 11.437081005944217, 13.091831001371743, 14.958030544124373, 16.2), # 61
(16.593771114385607, 15.908337997256517, 16.100035116598082, 19.30945226337449, 17.996953860390775, 10.0, 12.01273447914145, 12.149501234567902, 18.903801975308642, 11.398257924096939, 13.078104801097394, 14.933380155464107, 16.2), # 62
(16.595825952660736, 15.8504, 16.0816, 19.289700000000003, 17.99795985751897, 10.0, 11.972611764705881, 12.078400000000002, 18.88484, 11.36016, 13.064218181818184, 14.9088, 16.2), # 63
(16.597472359315837, 15.793173113854596, 16.0632438957476, 19.26985884773663, 17.998765240135597, 10.0, 11.933042136690068, 12.010380246913583, 18.86588987654321, 11.322873269318702, 13.050180720788127, 14.884325194330135, 16.2), # 64
(16.5987090610279, 15.73676268861454, 16.04499314128944, 19.249948559670784, 17.999369714559947, 10.0, 11.894101508916325, 11.945679012345678, 18.846975308641976, 11.286483767718336, 13.036001995261257, 14.859990855052581, 16.2), # 65
(16.599534784473914, 15.681274074074077, 16.026874074074076, 19.22998888888889, 17.999772987111317, 10.0, 11.855865795206972, 11.884533333333335, 18.828120000000002, 11.251077530864197, 13.021691582491583, 14.835832098765435, 16.2), # 66
(16.59994825633087, 15.626812620027435, 16.00891303155007, 19.209999588477366, 17.99997476410901, 10.0, 11.81841090938433, 11.827180246913583, 18.809347654320987, 11.216740594421584, 13.007259059733137, 14.811884042066758, 16.2), # 67
(16.59966658316932, 15.573197822912517, 15.991049519890261, 19.189826784755773, 17.999804728475752, 9.99981441853376, 11.781624311727434, 11.77335016003658, 18.790540557841794, 11.183392706635466, 12.992457581664603, 14.788048035039589, 16.19980024005487), # 68
(16.597026731078905, 15.51879283154122, 15.97278148148148, 19.168453623188405, 17.99825708061002, 9.998347325102882, 11.744429090154583, 11.720158024691358, 18.770876543209877, 11.150090225127087, 12.975780542264753, 14.76355035737492, 16.198217592592595), # 69
(16.59181726009423, 15.463347935749368, 15.954029492455417, 19.14573939881911, 17.995198902606308, 9.995458009449779, 11.706656215298192, 11.667123914037496, 18.750244627343395, 11.116671239140375, 12.957038218441728, 14.738276418068494, 16.195091735253776), # 70
(16.584111457028687, 15.406896269746449, 15.93480013717421, 19.12171760601181, 17.990668926006617, 9.991193293705228, 11.668322655262381, 11.61426538637403, 18.728675537265662, 11.083136574948224, 12.936299793254179, 14.712244699540344, 16.190463820301783), # 71
(16.573982608695655, 15.349470967741935, 15.915099999999999, 19.096421739130435, 17.98470588235294, 9.985600000000002, 11.62944537815126, 11.5616, 18.706200000000003, 11.04948705882353, 12.913634449760767, 14.685473684210528, 16.184375), # 72
(16.561504001908514, 15.291105163945307, 15.894935665294923, 19.069885292538917, 17.977348503187283, 9.978724950464867, 11.590041352068948, 11.50914531321445, 18.682848742569732, 11.01572351703919, 12.889111371020142, 14.65798185449907, 16.1768664266118), # 73
(16.546748923480646, 15.231831992566043, 15.874313717421124, 19.04214176060118, 17.96863552005164, 9.970614967230606, 11.550127545119556, 11.456918884316416, 18.658652491998172, 10.9818467758681, 12.86279974009097, 14.629787692826028, 16.167979252400553), # 74
(16.52979066022544, 15.171684587813619, 15.85324074074074, 19.01322463768116, 17.95860566448802, 9.961316872427986, 11.509720925407201, 11.404938271604939, 18.63364197530864, 10.947857661583152, 12.834768740031897, 14.600909681611435, 16.157754629629633), # 75
(16.510702498956285, 15.11069608389752, 15.831723319615913, 18.98316741814278, 17.94729766803841, 9.950877488187778, 11.468838461035993, 11.353221033379059, 18.607847919524463, 10.913757000457247, 12.805087553901586, 14.571366303275333, 16.146233710562413), # 76
(16.48955772648655, 15.048899615027217, 15.809768038408777, 18.95200359634997, 17.934750262244815, 9.939343636640757, 11.427497120110047, 11.301784727937816, 18.581301051668955, 10.87954561876328, 12.7738253647587, 14.54117604023777, 16.13345764746228), # 77
(16.46642962962963, 14.98632831541219, 15.787381481481482, 18.919766666666668, 17.92100217864924, 9.926762139917695, 11.38571387073348, 11.250646913580248, 18.55403209876543, 10.845224342774147, 12.741051355661883, 14.510357374918781, 16.119467592592596), # 78
(16.441391495198904, 14.923015319261916, 15.76457023319616, 18.88649012345679, 17.906092148793675, 9.913179820149367, 11.343505681010402, 11.199825148605397, 18.52607178783722, 10.810793998762742, 12.706834709669796, 14.478928789738408, 16.104304698216733), # 79
(16.414516610007755, 14.858993760785877, 15.74134087791495, 18.852207461084273, 17.890058904220126, 9.898643499466544, 11.30088951904493, 11.149336991312301, 18.497450845907636, 10.776255413001962, 12.671244609841102, 14.446908767116696, 16.08801011659808), # 80
(16.385878260869568, 14.79429677419355, 15.7177, 18.816952173913048, 17.872941176470587, 9.8832, 11.257882352941177, 11.099200000000002, 18.4682, 10.741609411764706, 12.63435023923445, 14.414315789473685, 16.070625), # 81
(16.355549734597723, 14.728957493694413, 15.693654183813445, 18.780757756307032, 17.854777697087066, 9.866896143880508, 11.214501150803258, 11.049431732967536, 18.43834997713763, 10.706856821323866, 12.596220780908501, 14.381168339229419, 16.052190500685874), # 82
(16.323604318005607, 14.663009053497943, 15.669210013717422, 18.743657702630166, 17.835607197611555, 9.849778753238837, 11.170762880735285, 11.000049748513947, 18.40793150434385, 10.671998467952339, 12.55692541792191, 14.34748489880394, 16.03274777091907), # 83
(16.290115297906603, 14.59648458781362, 15.644374074074074, 18.70568550724638, 17.815468409586057, 9.831894650205761, 11.126684510841374, 10.95107160493827, 18.376975308641974, 10.637035177923023, 12.516533333333333, 14.313283950617285, 16.012337962962963), # 84
(16.255155961114095, 14.529417230850923, 15.61915294924554, 18.666874664519593, 17.794400064552573, 9.813290656912057, 11.08228300922564, 10.902514860539554, 18.345512117055325, 10.60196777750881, 12.47511371020143, 14.2785839770895, 15.991002229080934), # 85
(16.21879959444146, 14.46184011681933, 15.593553223593966, 18.627258668813745, 17.772440894053094, 9.794013595488494, 11.037575343992193, 10.854397073616827, 18.313572656607228, 10.566797092982599, 12.432735731584856, 14.24340346064063, 15.968781721536352), # 86
(16.18111948470209, 14.393786379928315, 15.567581481481481, 18.586871014492754, 17.749629629629634, 9.774110288065843, 10.99257848324515, 10.806735802469136, 18.28118765432099, 10.531523950617284, 12.389468580542264, 14.207760883690709, 15.945717592592594), # 87
(16.142188918709373, 14.325289154387361, 15.541244307270233, 18.54574519592056, 17.726005002824177, 9.753627556774882, 10.947309395088626, 10.75954860539552, 18.248387837219937, 10.496149176685762, 12.345381440132318, 14.171674728659784, 15.921850994513035), # 88
(16.102081183276677, 14.256381574405948, 15.51454828532236, 18.503914707461085, 17.701605745178732, 9.732612223746381, 10.901785047626733, 10.712853040695016, 18.21520393232739, 10.460673597460932, 12.30054349341367, 14.135163477967897, 15.897223079561043), # 89
(16.06086956521739, 14.187096774193549, 15.4875, 18.461413043478263, 17.676470588235297, 9.711111111111112, 10.856022408963586, 10.666666666666666, 18.18166666666667, 10.425098039215687, 12.255023923444977, 14.098245614035088, 15.871875000000001), # 90
(16.0186273513449, 14.117467887959643, 15.460106035665294, 18.41827369833602, 17.650638263535864, 9.689171040999847, 10.810038447203299, 10.621007041609511, 18.14780676726109, 10.389423328222922, 12.208891913284896, 14.060939619281399, 15.845847908093276), # 91
(15.975427828472597, 14.047528049913716, 15.432372976680384, 18.374530166398284, 17.624147502622446, 9.666838835543363, 10.763850130449988, 10.57589172382259, 18.113654961133975, 10.353650290755535, 12.162216645992086, 14.023263976126877, 15.819182956104251), # 92
(15.931344283413848, 13.977310394265235, 15.404307407407408, 18.33021594202899, 17.597037037037037, 9.644161316872427, 10.717474426807762, 10.53133827160494, 18.079241975308644, 10.31777975308642, 12.1150673046252, 13.985237166991553, 15.791921296296294), # 93
(15.886450002982048, 13.906848055223684, 15.375915912208507, 18.285364519592058, 17.569345598321632, 9.621185307117818, 10.670928304380737, 10.487364243255604, 18.044598536808415, 10.281812541488476, 12.067513072242896, 13.946877674295479, 15.764104080932785), # 94
(15.840818273990577, 13.836174166998541, 15.347205075445817, 18.240009393451423, 17.541111918018238, 9.597957628410304, 10.62422873127303, 10.443987197073618, 18.00975537265661, 10.245749482234594, 12.019623131903835, 13.908203980458689, 15.735772462277092), # 95
(15.79452238325282, 13.765321863799286, 15.318181481481483, 18.194184057971015, 17.512374727668846, 9.574525102880658, 10.577392675588754, 10.401224691358026, 17.974743209876543, 10.209591401597677, 11.971466666666668, 13.869234567901238, 15.706967592592594), # 96
(15.747635617582157, 13.694324279835394, 15.28885171467764, 18.14792200751476, 17.483172758815464, 9.550934552659655, 10.530437105432021, 10.359094284407867, 17.939592775491544, 10.173339125850616, 11.923112859590052, 13.829987919043152, 15.677730624142663), # 97
(15.700231263791975, 13.623214549316343, 15.259222359396432, 18.101256736446594, 17.453544743000084, 9.52723279987807, 10.48337898890695, 10.317613534522177, 17.904334796524918, 10.136993481266307, 11.87463089373265, 13.790482516304477, 15.648102709190674), # 98
(15.652382608695653, 13.552025806451613, 15.229300000000002, 18.054221739130437, 17.423529411764708, 9.503466666666666, 10.43623529411765, 10.276800000000001, 17.869, 10.100555294117648, 11.826089952153112, 13.750736842105264, 15.618125000000001), # 99
(15.60416293910658, 13.480791185450682, 15.19909122085048, 18.00685050993022, 17.393165496651335, 9.479682975156226, 10.389022989168232, 10.236671239140376, 17.833619112940102, 10.064025390677534, 11.777559217910095, 13.710769378865548, 15.58783864883402), # 100
(15.555645541838135, 13.409543820523034, 15.168602606310015, 17.959176543209878, 17.36249172920197, 9.455928547477518, 10.34175904216282, 10.19724481024234, 17.798222862368544, 10.027404597218862, 11.72910787406226, 13.670598609005365, 15.557284807956103), # 101
(15.506903703703706, 13.338316845878138, 15.13784074074074, 17.911233333333335, 17.331546840958605, 9.432250205761319, 10.294460421205521, 10.15853827160494, 17.762841975308643, 9.990693740014526, 11.680805103668263, 13.63024301494477, 15.526504629629631), # 102
(15.458010711516671, 13.267143395725476, 15.1068122085048, 17.86305437466452, 17.300369563463246, 9.408694772138395, 10.247144094400449, 10.120569181527207, 17.72750717878372, 9.953893645337423, 11.632720089786758, 13.589721079103796, 15.495539266117968), # 103
(15.409039852090416, 13.196056604274526, 15.075523593964334, 17.814673161567367, 17.268998628257886, 9.385309068739522, 10.199827029851722, 10.083355098308186, 17.692249199817102, 9.91700513946045, 11.584922015476401, 13.549051283902486, 15.464429869684501), # 104
(15.360064412238325, 13.125089605734766, 15.043981481481481, 17.766123188405796, 17.237472766884533, 9.362139917695474, 10.152526195663453, 10.046913580246915, 17.6570987654321, 9.880029048656501, 11.537480063795854, 13.508252111760886, 15.433217592592593), # 105
(15.311157678773782, 13.054275534315678, 15.012192455418381, 17.717437949543747, 17.205830710885177, 9.339234141137021, 10.105258559939752, 10.011262185642433, 17.622086602652033, 9.842966199198472, 11.490463417803769, 13.46734204509903, 15.401943587105624), # 106
(15.26239293851017, 12.983647524226738, 14.980163100137176, 17.66865093934514, 17.174111191801824, 9.31663856119494, 10.058041090784739, 9.976418472793783, 17.58724343850023, 9.805817417359263, 11.443941260558804, 13.426339566336967, 15.370649005486968), # 107
(15.21384347826087, 12.913238709677422, 14.947900000000002, 17.619795652173917, 17.14235294117647, 9.294400000000001, 10.010890756302521, 9.942400000000001, 17.5526, 9.768583529411766, 11.397982775119617, 13.38526315789474, 15.339375000000002), # 108
(15.16558258483927, 12.843082224877207, 14.915409739369, 17.570905582393987, 17.11059469055112, 9.272565279682976, 9.96382452459722, 9.90922432556013, 17.518187014174668, 9.731265361628877, 11.352657144544864, 13.34413130219238, 15.308162722908094), # 109
(15.117683545058746, 12.77321120403558, 14.882698902606315, 17.522014224369297, 17.078875171467768, 9.251181222374639, 9.916859363772943, 9.876909007773206, 17.484035208047555, 9.693863740283494, 11.308033551893201, 13.302962481649942, 15.277053326474624), # 110
(15.07021964573269, 12.703658781362009, 14.849774074074077, 17.47315507246377, 17.047233115468412, 9.230294650205762, 9.87001224193381, 9.845471604938272, 17.450175308641978, 9.656379491648512, 11.264181180223286, 13.261775178687461, 15.246087962962964), # 111
(15.02326417367448, 12.634458091065975, 14.816641838134434, 17.42436162104133, 17.015707254095055, 9.209952385307119, 9.823300127183934, 9.814929675354367, 17.41663804298125, 9.618813441996826, 11.221169212593775, 13.220587875724977, 15.215307784636488), # 112
(14.976806757924871, 12.565757790057525, 14.78338852520331, 17.375734211987265, 16.98428108827793, 9.190191630743222, 9.776841541850832, 9.78536411004897, 17.383540498013794, 9.581287578580367, 11.179078249844586, 13.179508698407085, 15.184710241349155), # 113
(14.930369436640104, 12.498235493640857, 14.75047308003459, 17.327663074043738, 16.952629367306123, 9.170967373647843, 9.731229133456928, 9.757138015208191, 17.351390457140898, 9.544504268660452, 11.137990939381115, 13.13905947538076, 15.154040662656056), # 114
(14.883815844806392, 12.431915517892875, 14.717915092331708, 17.280135208290847, 16.920652284621763, 9.152229619998023, 9.6864954403065, 9.730244246845935, 17.320199965870064, 9.508520524780923, 11.09784721828335, 13.099260132094162, 15.123210610656603), # 115
(14.837087797180216, 12.366701250066724, 14.685651503974197, 17.233065840426246, 16.888301642214046, 9.133934203659356, 9.64256770804463, 9.70460850063839, 17.28989014276453, 9.473269373519276, 11.05856949003437, 13.060037115979753, 15.092171615609425), # 116
(14.790127108518035, 12.302496077415555, 14.653619256841578, 17.18637019614759, 16.855529242072176, 9.116036958497425, 9.599373182316404, 9.680156472261736, 17.260382106387524, 9.438683841453006, 11.020080158117253, 13.021316874470001, 15.06087520777316), # 117
(14.742875593576338, 12.239203387192518, 14.621755292813388, 17.139963501152533, 16.82228688618535, 9.098493718377823, 9.556839108766905, 9.656813857392155, 17.231596975302296, 9.404696955159615, 10.98230162601508, 12.98302585499736, 15.02927291740644), # 118
(14.695275067111588, 12.176726566650768, 14.589996553769158, 17.09376098113873, 16.788526376542755, 9.081260317166132, 9.51489273304121, 9.634506351705832, 17.20345586807207, 9.371241741216595, 10.945156297210925, 12.945090504994296, 14.997316274767892), # 119
(14.647267343880259, 12.114969003043454, 14.55827998158842, 17.04767786180383, 16.754199515133596, 9.064292588727945, 9.473461300784406, 9.613159650878949, 17.175879903260093, 9.338251226201448, 10.908566575187866, 12.907437271893276, 14.964956810116156), # 120
(14.59879423863883, 12.053834083623727, 14.5265425181507, 17.001629368845496, 16.71925810394707, 9.047546366928849, 9.432472057641569, 9.592699450587691, 17.148790199429598, 9.305658436691674, 10.872454863428986, 12.869992603126756, 14.932146053709857), # 121
(14.549797566143766, 11.993225195644738, 14.494721105335538, 16.95553072796137, 16.683653944972374, 9.03097748563443, 9.391852249257788, 9.573051446508238, 17.122107875143822, 9.273396399264763, 10.836743565417363, 12.832682946127202, 14.898835535807633), # 122
(14.50021914115155, 11.933045726359639, 14.462752685022458, 16.90929716484911, 16.647338840198707, 9.01454177871028, 9.351529121278142, 9.554141334316773, 17.095754048966008, 9.24139814049822, 10.801355084636072, 12.795434748327075, 14.864976786668116), # 123
(14.450000778418648, 11.87319906302158, 14.430574199090993, 16.86284390520638, 16.61026459161526, 8.998195080021983, 9.311429919347711, 9.535894809689482, 17.069649839459384, 9.209596686969538, 10.766211824568192, 12.758174457158841, 14.830521336549939), # 124
(14.399084292701534, 11.813588592883713, 14.398122589420678, 16.816086174730817, 16.572383001211236, 8.98189322343513, 9.271481889111582, 9.518237568302546, 17.04371636518719, 9.177925065256215, 10.731236188696803, 12.720828520054958, 14.795420715711726), # 125
(14.347411498756685, 11.754117703199192, 14.365334797891038, 16.768939199120087, 16.53364587097583, 8.965592042815308, 9.231612276214832, 9.501095305832148, 17.017874744712667, 9.146316301935748, 10.696350580504982, 12.683323384447895, 14.759626454412127), # 126
(14.294924211340579, 11.69468978122116, 14.332147766381608, 16.72131820407184, 16.494005002898238, 8.949247372028104, 9.19174832630255, 9.484393717954474, 16.99204609659905, 9.114703423585638, 10.661477403475807, 12.645585497770107, 14.723090082909758), # 127
(14.241564245209673, 11.635208214202777, 14.29849843677192, 16.67313841528373, 16.453412198967666, 8.93281504493911, 9.151817285019812, 9.4680585003457, 16.966151539409577, 9.083019456783381, 10.626539061092359, 12.607541307454062, 14.68576313146326), # 128
(14.187273415120451, 11.575576389397186, 14.264323750941504, 16.624315058453412, 16.4118192611733, 8.916250895413912, 9.111746398011702, 9.452015348682016, 16.94011219170748, 9.051197428106473, 10.591457956837715, 12.569117260932218, 14.647597130331262), # 129
(14.131993535829388, 11.515697694057547, 14.229560650769887, 16.57476335927854, 16.36917799150434, 8.899510757318094, 9.0714629109233, 9.4361899586396, 16.913849172056, 9.019170364132412, 10.556156494194951, 12.530239805637045, 14.608543609772397), # 130
(14.07566642209295, 11.455475515437003, 14.19414607813661, 16.524398543456762, 16.32544019194999, 8.88255046451725, 9.030894069399695, 9.42050802589464, 16.887283599018378, 8.986871291438696, 10.52055707664715, 12.490835389000999, 14.568554100045299), # 131
(14.018233888667616, 11.39481324078871, 14.158016974921194, 16.47313583668574, 16.280557664499447, 8.865325850876964, 8.98996711908596, 9.404895246123317, 16.860336591157846, 8.954233236602823, 10.484582107677383, 12.450830458456547, 14.527580131408602), # 132
(13.959637750309861, 11.333614257365817, 14.121110283003175, 16.420890464663124, 16.2344822111419, 8.847792750262826, 8.948609305627183, 9.389277315001811, 16.832929267037642, 8.921189226202292, 10.448153990768738, 12.410151461436149, 14.485573234120938), # 133
(13.899819821776152, 11.271781952421478, 14.083362944262086, 16.367577653086567, 16.18716563386655, 8.829906996540425, 8.906747874668445, 9.37357992820631, 16.804982745221007, 8.887672286814597, 10.411195129404286, 12.368724845372267, 14.442484938440934), # 134
(13.838721917822966, 11.209219713208839, 14.044711900577454, 16.313112627653727, 16.138559734662593, 8.811624423575347, 8.86431007185483, 9.357728781412993, 16.77641814427117, 8.853615445017242, 10.373627927067108, 12.326477057697364, 14.398266774627231), # 135
(13.776285853206776, 11.145830926981056, 14.005094093828815, 16.25741061406225, 16.08861631551923, 8.792900865233184, 8.821223142831416, 9.341649570298044, 16.74715658275137, 8.818951727387716, 10.335374787240283, 12.283334545843907, 14.352870272938459), # 136
(13.712453442684055, 11.081518980991277, 13.964446465895698, 16.200386838009802, 16.037287178425654, 8.773692155379518, 8.77741433324329, 9.325267990537647, 16.717119179224852, 8.783614160503523, 10.296358113406889, 12.239223757244352, 14.306246963633242), # 137
(13.647166501011277, 11.016187262492654, 13.922705958657628, 16.141956525194022, 15.98452412537107, 8.753954127879942, 8.732810888735527, 9.308509737807984, 16.68622705225485, 8.747535770942156, 10.256500309050004, 12.194071139331164, 14.258348376970226), # 138
(13.58036684294491, 10.949739158738339, 13.879809513994145, 16.082034901312575, 15.930278958344665, 8.733642616600042, 8.687340054953216, 9.29130050778524, 16.654401320404595, 8.710649585281116, 10.215723777652705, 12.14780313953681, 14.20912604320803), # 139
(13.511996283241437, 10.88207805698148, 13.83569407378478, 16.020537192063113, 15.874503479335647, 8.712713455405407, 8.640929077541434, 9.273565996145594, 16.62156310223733, 8.672888630097898, 10.17395092269807, 12.100346205293746, 14.158531492605304), # 140
(13.44199663665733, 10.813107344475235, 13.790296579909057, 15.957378623143285, 15.817149490333206, 8.691122478161624, 8.593505202145272, 9.255231898565233, 16.587633516316288, 8.634185931970002, 10.131104147669182, 12.05162678403444, 14.106516255420662), # 141
(13.37030971794905, 10.742730408472745, 13.743553974246513, 15.892474420250753, 15.75816879332654, 8.668825518734284, 8.544995674409803, 9.236223910720339, 16.552533681204707, 8.594474517474925, 10.087105856049115, 12.001571323191351, 14.053031861912746), # 142
(13.29687734187308, 10.67085063622717, 13.695403198676681, 15.82573980908316, 15.697513190304846, 8.64577841098897, 8.49532773998011, 9.21646772828709, 16.516184715465837, 8.553687413190165, 10.04187845132095, 11.950106270196944, 13.998029842340188), # 143
(13.221641323185896, 10.597371414991658, 13.645781195079085, 15.757090015338171, 15.635134483257326, 8.621936988791274, 8.444428644501278, 9.195889046941678, 16.478507737662895, 8.511757645693216, 9.995344336967761, 11.897158072483679, 13.941461726961624), # 144
(13.144543476643964, 10.52219613201936, 13.594624905333262, 15.686440264713433, 15.570984474173173, 8.597257086006785, 8.39222563361839, 9.174413562360282, 16.439423866359128, 8.46861824156158, 9.947425916472632, 11.842653177484022, 13.88327904603568), # 145
(13.065525617003761, 10.445228174563427, 13.541871271318747, 15.613705782906601, 15.505014965041589, 8.57169453650109, 8.338645952976528, 9.151966970219084, 16.39885422011777, 8.424202227372753, 9.898045593318638, 11.786518032630433, 13.82343332982099), # 146
(12.98452955902176, 10.366370929877009, 13.487457234915055, 15.538801795615328, 15.437177757851764, 8.545205174139772, 8.28361684822077, 9.128474966194265, 16.356719917502065, 8.378442629704233, 9.847125770988859, 11.728679085355378, 13.761876108576189), # 147
(12.901497117454435, 10.285527785213262, 13.431319738001733, 15.461643528537275, 15.367424654592899, 8.517744832788429, 8.227065564996202, 9.103863245962012, 16.312942077075245, 8.331272475133515, 9.794588852966372, 11.669062783091313, 13.698558912559907), # 148
(12.81637010705826, 10.20260212782533, 13.37339572245831, 15.382146207370084, 15.295707457254194, 8.48926934631264, 8.168919348947906, 9.078057505198506, 16.26744181740054, 8.282624790238101, 9.740357242734255, 11.607595573270707, 13.63343327203078), # 149
(12.729090342589704, 10.117497344966367, 13.313622130164312, 15.30022505781142, 15.221977967824841, 8.459734548577998, 8.109105445720962, 9.05098343957993, 16.220140257041205, 8.232432601595482, 9.684353343775589, 11.544203903326022, 13.566450717247434), # 150
(12.63959963880524, 10.030116823889527, 13.251935902999268, 15.215795305558927, 15.146187988294043, 8.429096273450089, 8.047551100960453, 9.02256674478247, 16.170958514560464, 8.180628935783165, 9.626499559573448, 11.478814220689715, 13.49756277846851), # 151
(12.54783981046135, 9.940363951847957, 13.188273982842723, 15.128772176310271, 15.06828932065099, 8.397310354794502, 7.984183560311464, 8.992733116482306, 16.119817708521552, 8.12714681937864, 9.566718293610915, 11.411352972794255, 13.426720985952636), # 152
(12.453752672314497, 9.848142116094811, 13.12257331157419, 15.039070895763093, 14.988233766884889, 8.364332626476825, 7.918930069419071, 8.96140825035562, 16.06663895748772, 8.071919278959406, 9.504931949371066, 11.341746607072103, 13.353876869958444), # 153
(12.357280039121166, 9.75335470388324, 13.054770831073213, 14.946606689615056, 14.905973128984929, 8.330118922362647, 7.851717873928365, 8.928517842078596, 16.011343380022186, 8.014879341102965, 9.44106293033698, 11.26992157095572, 13.278981960744572), # 154
(12.258363725637818, 9.655905102466392, 12.984803483219322, 14.851294783563805, 14.821459208940315, 8.294625076317555, 7.782474219484418, 8.893987587327418, 15.953852094688205, 7.955960032386807, 9.375033639991733, 11.195804311877572, 13.201987788569642), # 155
(12.15694554662093, 9.555696699097421, 12.912608209892042, 14.753050403307, 14.734643808740238, 8.257806922207138, 7.71112635173232, 8.85774318177827, 15.894086220049003, 7.8950943793884365, 9.306766481818407, 11.119321277270117, 13.122845883692296), # 156
(12.05296731682698, 9.452632881029478, 12.838121952970909, 14.6517887745423, 14.645478730373895, 8.219620293896982, 7.637601516317151, 8.819710321107332, 15.831966874667822, 7.832215408685347, 9.236183859300079, 11.04039891456582, 13.041507776371162), # 157
(11.943489514248384, 9.344724993235614, 12.75774712624377, 14.54363133064199, 14.549889769393596, 8.177639162107376, 7.560170753484572, 8.777275123758995, 15.762659346558557, 7.76538546606583, 9.160953204062308, 10.956159302710944, 12.954377375064553), # 158
(11.811658827165445, 9.220904511359164, 12.65078050944478, 14.406363454061527, 14.424306095650605, 8.117903436811366, 7.469140421417146, 8.715541652423012, 15.658283617955432, 7.683649590557993, 9.06786709699039, 10.850180037892974, 12.840684235072311), # 159
(11.655795351846896, 9.080154765665142, 12.515073532729422, 14.237724016654177, 14.266272210154874, 8.038946073676295, 7.363589997414055, 8.632958703243755, 15.515880363565842, 7.58592904298063, 8.955615213775264, 10.720803118220555, 12.69827297422973), # 160
(11.477155287337537, 8.92339338892875, 12.352075155056495, 14.039316006010765, 14.077428998851381, 7.941723586512502, 7.244290313611002, 8.530560852975649, 15.337327627198428, 7.473053109073501, 8.825186647359532, 10.569227950252113, 12.528598471710556), # 161
(11.27699483268217, 8.751538013925183, 12.163234335384793, 13.812742409722123, 13.859417347685127, 7.827192489130329, 7.112012202143695, 8.409382678373124, 15.12450345266182, 7.3458510745763705, 8.677570490685794, 10.39665394054607, 12.333115606688533), # 162
(11.056570186925597, 8.565506273429639, 11.950000032673124, 13.559606215379095, 13.613878142601102, 7.696309295340116, 6.967526495147841, 8.2704587561906, 14.87928588376465, 7.205152225229, 8.513755836696653, 10.204280495660853, 12.113279258337407), # 163
(10.817137549112616, 8.366215800217313, 11.713821205880283, 13.281510410572508, 13.342452269544303, 7.550030518952207, 6.811604024759146, 8.114823663182511, 14.603552964315558, 7.05178584677115, 8.334731778334714, 9.993307022154886, 11.870544305830926), # 164
(10.559953118288028, 8.154584227063411, 11.45614681396507, 12.980057982893204, 13.046780614459719, 7.389312673776939, 6.6450156231133155, 7.943511976103274, 14.299182738123168, 6.8865812249425815, 8.141487408542579, 9.764932926586592, 11.606365628342832), # 165
(10.286273093496636, 7.931529186743127, 11.178425815886285, 12.656851919932002, 12.728504063292343, 7.215112273624654, 6.468532122346058, 7.757558271707324, 13.968053248996117, 6.71036764548306, 7.935011820262847, 9.520357615514403, 11.322198105046873), # 166
(9.997353673783238, 7.6979683120316595, 10.882107170602728, 12.31349520927975, 12.389263501987168, 7.028385832305694, 6.28292435459308, 7.557997126749083, 13.61204254074304, 6.523974394132343, 7.716294106438124, 9.260780495496734, 11.019496615116793), # 167
(9.694451058192634, 7.454819235704206, 10.568639837073198, 11.951590838527274, 12.030699816489188, 6.830089863630398, 6.088963151990087, 7.345863117982976, 13.233028657172568, 6.328230756630195, 7.48632336001101, 8.987400973092019, 10.69971603772634), # 168
(9.378821445769624, 7.202999590535967, 10.239472774256495, 11.572741795265413, 11.654453892743392, 6.621180881409112, 5.887419346672787, 7.122190822163432, 12.832889642093342, 6.123966018716379, 7.24608867392411, 8.701418454858675, 10.364311252049257), # 169
(9.051721035559014, 6.94342700930214, 9.896054941111416, 11.178551067084992, 11.262166616694774, 6.402615399452171, 5.679063770776885, 6.888014816044876, 12.413503539313982, 5.912009466130653, 6.996579141120026, 8.404032347355134, 10.014737137259289), # 170
(8.7144060266056, 6.677019124777921, 9.539835296596765, 10.770621641576858, 10.85547887428833, 6.175349931569918, 5.464667256438089, 6.644369676381733, 11.976748392643131, 5.693190384612782, 6.738783854541357, 8.096442057139818, 9.652448572530185), # 171
(8.368132617954185, 6.4046935697385114, 9.172262799671339, 10.350556506331834, 10.436031551469046, 5.940340991572694, 5.245000635792105, 6.392289979928433, 11.524502245889417, 5.468338059902528, 6.473691907130711, 7.779846990771154, 9.278900437035686), # 172
(8.014157008649567, 6.127367976959108, 8.79478640929394, 9.919958648940762, 10.005465534181923, 5.69854509327084, 5.02083474097464, 6.132810303439398, 11.058643142861477, 5.238281777739651, 6.202292391830685, 7.45544655480756, 8.89554760994954), # 173
(7.6537353977365505, 5.845959979214909, 8.408855084423363, 9.480431056994465, 9.565421708371947, 5.450918750474696, 4.792940404121401, 5.866965223669057, 10.581049127367942, 5.003850823863915, 5.9255744015838845, 7.124440155807469, 8.503844970445494), # 174
(7.288123984259929, 5.561387209281111, 8.015917784018413, 9.033576718083788, 9.11754095998411, 5.198418476994606, 4.562088457368093, 5.595789317371834, 10.09359824321745, 4.765874484015079, 5.644527029332911, 6.788027200329303, 8.105247397697292), # 175
(6.91857896726451, 5.274567299932917, 7.617423467037885, 8.58099861979956, 8.663464174963408, 4.942000786640907, 4.329049732850424, 5.3203171613021585, 9.598168534218628, 4.525182043932907, 5.360139368020368, 6.447407094931487, 7.701209770878679), # 176
(6.546356545795092, 4.986417883945522, 7.214821092440582, 8.124299749732613, 8.204832239254838, 4.682622193223941, 4.094595062704101, 5.0415833322144525, 9.096638044180112, 4.282602789357159, 5.073400510588858, 6.103779246172446, 7.2931869691634), # 177
(6.172712918896475, 4.697856594094126, 6.809559619185302, 7.665083095473786, 7.743286038803382, 4.421239210554052, 3.859495279064828, 4.760622406863145, 8.590884816910537, 4.0389660060276, 4.78529954998098, 5.758343060610604, 6.882633871725203), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(11, 2, 10, 9, 2, 7, 2, 5, 2, 1, 1, 0, 0, 9, 8, 6, 8, 2, 5, 1, 5, 4, 1, 1, 1, 0), # 0
(20, 14, 19, 18, 10, 9, 3, 9, 4, 1, 2, 2, 0, 17, 14, 14, 13, 4, 10, 8, 8, 7, 2, 1, 3, 0), # 1
(24, 17, 27, 28, 17, 14, 4, 15, 8, 5, 3, 2, 0, 32, 24, 18, 21, 8, 15, 11, 10, 12, 3, 3, 4, 0), # 2
(33, 29, 31, 39, 22, 19, 7, 19, 10, 6, 4, 3, 0, 39, 37, 27, 24, 20, 22, 14, 12, 14, 5, 4, 5, 0), # 3
(42, 42, 39, 46, 29, 20, 12, 26, 11, 7, 5, 5, 0, 46, 46, 30, 31, 28, 25, 19, 14, 17, 8, 6, 6, 0), # 4
(54, 49, 47, 54, 38, 22, 17, 32, 13, 9, 10, 5, 0, 50, 51, 39, 38, 38, 31, 20, 17, 25, 10, 10, 11, 0), # 5
(70, 63, 61, 65, 43, 27, 24, 37, 13, 10, 10, 5, 0, 60, 63, 47, 42, 46, 38, 24, 18, 27, 14, 12, 13, 0), # 6
(77, 70, 79, 75, 53, 32, 29, 40, 19, 14, 11, 6, 0, 69, 70, 61, 48, 56, 45, 29, 20, 30, 16, 16, 14, 0), # 7
(94, 86, 91, 87, 62, 33, 36, 45, 24, 17, 12, 6, 0, 84, 81, 66, 56, 68, 48, 38, 25, 34, 22, 17, 15, 0), # 8
(107, 98, 102, 97, 75, 39, 39, 47, 28, 21, 15, 7, 0, 98, 90, 72, 68, 74, 54, 40, 29, 40, 29, 19, 16, 0), # 9
(124, 113, 113, 112, 85, 41, 46, 53, 38, 23, 15, 8, 0, 116, 106, 84, 73, 80, 63, 46, 29, 46, 38, 23, 17, 0), # 10
(133, 124, 126, 125, 91, 43, 53, 59, 41, 24, 20, 8, 0, 130, 119, 92, 79, 92, 74, 50, 30, 52, 40, 25, 18, 0), # 11
(143, 142, 135, 136, 98, 47, 58, 63, 49, 28, 20, 9, 0, 142, 132, 99, 86, 110, 80, 53, 38, 56, 42, 28, 18, 0), # 12
(153, 154, 142, 145, 105, 50, 65, 70, 55, 30, 22, 11, 0, 157, 153, 109, 96, 122, 85, 59, 40, 58, 42, 30, 20, 0), # 13
(176, 171, 148, 171, 121, 53, 74, 77, 58, 32, 24, 12, 0, 174, 164, 124, 106, 131, 89, 66, 45, 60, 46, 31, 21, 0), # 14
(188, 181, 158, 191, 130, 57, 85, 83, 65, 37, 27, 14, 0, 196, 180, 138, 115, 143, 97, 69, 49, 68, 52, 32, 23, 0), # 15
(202, 195, 168, 206, 139, 60, 89, 88, 68, 38, 28, 15, 0, 210, 197, 153, 127, 154, 100, 73, 55, 71, 58, 35, 24, 0), # 16
(226, 207, 176, 215, 153, 68, 94, 94, 73, 40, 30, 16, 0, 225, 212, 160, 138, 169, 105, 85, 61, 72, 64, 38, 25, 0), # 17
(247, 225, 189, 232, 169, 74, 104, 100, 76, 44, 32, 18, 0, 237, 230, 173, 146, 177, 113, 90, 66, 75, 72, 39, 28, 0), # 18
(262, 235, 198, 245, 182, 81, 110, 111, 82, 46, 33, 18, 0, 259, 243, 182, 155, 192, 122, 96, 73, 81, 75, 39, 28, 0), # 19
(277, 247, 212, 250, 191, 87, 116, 122, 84, 47, 34, 20, 0, 278, 252, 192, 164, 205, 132, 102, 77, 87, 79, 43, 29, 0), # 20
(295, 270, 224, 267, 201, 92, 119, 130, 89, 50, 35, 21, 0, 293, 261, 202, 176, 221, 138, 109, 79, 95, 84, 45, 30, 0), # 21
(315, 287, 237, 284, 209, 101, 128, 136, 96, 53, 35, 21, 0, 309, 274, 216, 182, 234, 146, 116, 83, 102, 85, 45, 32, 0), # 22
(327, 303, 256, 298, 225, 109, 133, 145, 99, 54, 37, 22, 0, 337, 286, 224, 190, 255, 162, 118, 89, 107, 90, 49, 36, 0), # 23
(345, 321, 271, 315, 242, 116, 141, 150, 102, 57, 40, 24, 0, 361, 306, 240, 201, 271, 169, 126, 92, 112, 92, 53, 37, 0), # 24
(360, 339, 285, 331, 260, 126, 143, 153, 107, 59, 42, 25, 0, 377, 319, 250, 212, 284, 179, 134, 98, 118, 93, 55, 41, 0), # 25
(379, 358, 301, 345, 274, 136, 150, 159, 117, 60, 45, 25, 0, 388, 335, 261, 220, 304, 185, 138, 106, 121, 102, 58, 44, 0), # 26
(392, 377, 317, 359, 290, 140, 156, 165, 120, 62, 46, 27, 0, 406, 349, 273, 232, 316, 193, 150, 109, 127, 108, 61, 44, 0), # 27
(405, 394, 329, 375, 300, 143, 160, 167, 126, 65, 50, 27, 0, 417, 367, 282, 240, 330, 198, 153, 118, 130, 114, 65, 46, 0), # 28
(431, 411, 342, 392, 307, 146, 165, 170, 131, 68, 50, 28, 0, 438, 384, 289, 252, 347, 211, 159, 122, 139, 115, 69, 49, 0), # 29
(453, 432, 352, 411, 328, 150, 167, 179, 137, 71, 50, 30, 0, 456, 393, 299, 267, 357, 225, 165, 128, 144, 120, 70, 51, 0), # 30
(468, 449, 359, 431, 339, 154, 170, 190, 140, 77, 51, 31, 0, 470, 407, 307, 274, 368, 235, 173, 132, 150, 121, 71, 52, 0), # 31
(485, 463, 370, 446, 353, 159, 180, 198, 148, 82, 53, 31, 0, 489, 425, 317, 280, 376, 240, 178, 139, 152, 127, 75, 53, 0), # 32
(502, 470, 387, 461, 368, 166, 186, 204, 152, 87, 58, 35, 0, 505, 438, 331, 290, 387, 251, 181, 143, 159, 132, 77, 54, 0), # 33
(522, 482, 394, 480, 375, 169, 194, 205, 158, 90, 60, 35, 0, 523, 452, 344, 295, 395, 261, 188, 147, 162, 135, 82, 56, 0), # 34
(535, 503, 405, 489, 386, 181, 201, 208, 163, 90, 64, 36, 0, 538, 466, 351, 304, 411, 269, 195, 149, 169, 139, 85, 58, 0), # 35
(556, 517, 419, 506, 399, 186, 205, 216, 171, 92, 67, 36, 0, 554, 482, 357, 317, 422, 276, 202, 153, 175, 143, 88, 61, 0), # 36
(567, 530, 429, 518, 409, 191, 215, 220, 177, 96, 70, 37, 0, 576, 494, 374, 323, 433, 286, 206, 157, 182, 148, 89, 62, 0), # 37
(582, 546, 439, 529, 421, 200, 221, 223, 183, 96, 70, 37, 0, 595, 510, 382, 331, 445, 296, 212, 163, 189, 155, 90, 64, 0), # 38
(602, 558, 455, 544, 433, 204, 227, 231, 184, 100, 72, 40, 0, 609, 524, 392, 338, 454, 305, 217, 168, 191, 160, 92, 64, 0), # 39
(618, 567, 469, 559, 443, 217, 230, 237, 194, 103, 74, 42, 0, 620, 536, 399, 348, 465, 315, 226, 170, 197, 163, 93, 65, 0), # 40
(632, 586, 486, 570, 447, 224, 244, 244, 203, 105, 74, 44, 0, 637, 540, 409, 360, 481, 322, 236, 173, 205, 166, 95, 67, 0), # 41
(649, 598, 494, 580, 458, 231, 246, 247, 208, 106, 76, 44, 0, 656, 553, 425, 367, 500, 326, 242, 174, 208, 172, 95, 69, 0), # 42
(663, 613, 505, 594, 462, 241, 253, 248, 212, 108, 77, 48, 0, 674, 566, 436, 377, 510, 330, 245, 179, 215, 175, 96, 69, 0), # 43
(681, 630, 519, 608, 470, 245, 261, 259, 215, 111, 77, 51, 0, 688, 580, 446, 383, 522, 337, 252, 179, 221, 177, 98, 72, 0), # 44
(692, 646, 537, 621, 484, 249, 268, 266, 223, 115, 84, 52, 0, 708, 592, 457, 388, 538, 345, 262, 184, 232, 179, 100, 75, 0), # 45
(706, 669, 550, 638, 493, 254, 272, 269, 230, 117, 89, 55, 0, 727, 610, 463, 394, 558, 357, 268, 191, 236, 189, 102, 78, 0), # 46
(721, 686, 561, 650, 507, 258, 282, 281, 236, 120, 90, 58, 0, 744, 623, 477, 409, 570, 366, 272, 195, 244, 192, 105, 82, 0), # 47
(746, 704, 573, 659, 518, 264, 292, 291, 240, 123, 93, 59, 0, 756, 635, 482, 418, 581, 378, 282, 200, 251, 195, 105, 82, 0), # 48
(766, 720, 589, 679, 527, 272, 294, 294, 250, 124, 95, 61, 0, 770, 645, 496, 434, 588, 383, 286, 202, 256, 199, 108, 84, 0), # 49
(784, 735, 607, 690, 534, 277, 309, 299, 256, 129, 95, 61, 0, 788, 668, 508, 443, 599, 392, 295, 204, 262, 204, 110, 87, 0), # 50
(800, 750, 624, 709, 546, 280, 321, 302, 262, 130, 95, 61, 0, 807, 676, 520, 451, 605, 402, 304, 208, 268, 210, 112, 88, 0), # 51
(816, 763, 640, 724, 564, 283, 328, 308, 267, 133, 98, 61, 0, 829, 688, 534, 459, 617, 409, 310, 210, 272, 214, 117, 88, 0), # 52
(837, 776, 651, 732, 577, 287, 331, 313, 274, 136, 101, 62, 0, 844, 702, 544, 470, 632, 421, 314, 212, 275, 217, 119, 89, 0), # 53
(849, 795, 670, 746, 589, 294, 336, 323, 280, 138, 104, 63, 0, 854, 711, 554, 476, 646, 432, 317, 215, 281, 225, 124, 89, 0), # 54
(860, 812, 690, 757, 595, 305, 342, 329, 282, 141, 106, 65, 0, 876, 725, 565, 483, 660, 439, 318, 223, 288, 230, 128, 90, 0), # 55
(873, 824, 700, 773, 608, 310, 350, 331, 287, 145, 108, 67, 0, 897, 742, 576, 491, 669, 446, 326, 231, 297, 235, 131, 93, 0), # 56
(887, 837, 707, 783, 622, 317, 359, 335, 293, 146, 109, 70, 0, 909, 755, 586, 497, 678, 450, 335, 232, 305, 239, 132, 93, 0), # 57
(900, 858, 717, 800, 634, 320, 365, 341, 298, 149, 111, 72, 0, 923, 762, 593, 509, 692, 458, 342, 235, 314, 246, 136, 97, 0), # 58
(912, 868, 726, 814, 655, 326, 377, 345, 305, 157, 113, 73, 0, 939, 777, 599, 518, 706, 467, 346, 237, 318, 251, 137, 97, 0), # 59
(923, 886, 746, 828, 664, 328, 384, 349, 312, 157, 115, 77, 0, 953, 789, 612, 523, 720, 476, 355, 241, 324, 258, 138, 97, 0), # 60
(943, 899, 756, 843, 673, 336, 390, 354, 318, 160, 117, 78, 0, 966, 800, 621, 527, 732, 480, 362, 254, 333, 260, 139, 98, 0), # 61
(959, 914, 768, 858, 688, 343, 400, 364, 324, 163, 118, 78, 0, 982, 817, 634, 535, 751, 489, 366, 257, 340, 266, 142, 99, 0), # 62
(980, 919, 782, 877, 700, 352, 405, 368, 334, 167, 120, 79, 0, 993, 831, 650, 545, 763, 494, 371, 259, 344, 272, 144, 101, 0), # 63
(994, 931, 796, 893, 707, 357, 405, 370, 339, 168, 122, 80, 0, 1002, 845, 671, 556, 771, 506, 376, 264, 348, 275, 145, 102, 0), # 64
(1012, 948, 807, 904, 716, 362, 409, 372, 350, 168, 123, 82, 0, 1021, 861, 681, 567, 783, 511, 386, 269, 351, 279, 149, 104, 0), # 65
(1038, 961, 815, 925, 730, 365, 416, 378, 354, 169, 124, 83, 0, 1037, 871, 694, 575, 799, 515, 397, 273, 356, 285, 151, 104, 0), # 66
(1056, 972, 835, 948, 738, 377, 425, 380, 357, 174, 128, 86, 0, 1055, 884, 700, 585, 811, 524, 404, 275, 362, 292, 159, 105, 0), # 67
(1073, 985, 851, 963, 750, 386, 428, 385, 361, 178, 129, 86, 0, 1069, 900, 708, 592, 825, 531, 408, 278, 373, 301, 164, 108, 0), # 68
(1089, 996, 865, 982, 759, 388, 435, 386, 372, 184, 133, 88, 0, 1083, 912, 726, 599, 843, 533, 415, 280, 379, 304, 165, 108, 0), # 69
(1102, 1004, 887, 995, 769, 392, 437, 389, 378, 188, 134, 89, 0, 1095, 925, 739, 606, 857, 541, 422, 282, 381, 307, 169, 110, 0), # 70
(1117, 1019, 898, 1014, 779, 401, 442, 398, 385, 192, 136, 92, 0, 1115, 935, 744, 614, 870, 544, 425, 288, 391, 315, 172, 113, 0), # 71
(1134, 1029, 907, 1023, 793, 410, 448, 403, 389, 194, 137, 94, 0, 1132, 949, 751, 622, 878, 548, 429, 295, 401, 317, 175, 114, 0), # 72
(1143, 1043, 916, 1034, 810, 414, 453, 408, 392, 197, 137, 95, 0, 1148, 957, 766, 633, 892, 560, 437, 298, 409, 319, 178, 117, 0), # 73
(1153, 1057, 936, 1049, 824, 418, 453, 413, 399, 199, 140, 96, 0, 1170, 969, 773, 642, 906, 569, 445, 299, 422, 319, 180, 119, 0), # 74
(1167, 1070, 955, 1065, 833, 421, 456, 420, 403, 200, 146, 100, 0, 1188, 983, 779, 650, 921, 572, 451, 305, 428, 324, 182, 119, 0), # 75
(1190, 1089, 972, 1081, 842, 430, 462, 425, 406, 201, 149, 100, 0, 1204, 998, 790, 659, 936, 584, 458, 310, 429, 325, 189, 122, 0), # 76
(1201, 1104, 978, 1094, 855, 436, 468, 428, 410, 204, 151, 101, 0, 1217, 1009, 795, 669, 947, 592, 463, 315, 437, 328, 192, 123, 0), # 77
(1215, 1116, 990, 1116, 865, 442, 477, 435, 415, 206, 152, 101, 0, 1234, 1030, 809, 679, 958, 600, 472, 323, 443, 334, 196, 126, 0), # 78
(1237, 1135, 1007, 1130, 875, 444, 482, 441, 421, 207, 154, 105, 0, 1253, 1038, 825, 686, 966, 608, 477, 326, 448, 338, 198, 126, 0), # 79
(1253, 1145, 1017, 1139, 885, 449, 487, 445, 427, 208, 156, 105, 0, 1276, 1050, 834, 697, 985, 614, 479, 329, 453, 340, 203, 127, 0), # 80
(1277, 1157, 1029, 1151, 895, 455, 497, 449, 433, 213, 162, 106, 0, 1293, 1065, 840, 708, 1000, 624, 485, 333, 459, 345, 205, 129, 0), # 81
(1293, 1174, 1041, 1166, 905, 457, 501, 453, 436, 217, 163, 107, 0, 1314, 1082, 848, 718, 1013, 629, 489, 337, 464, 348, 207, 131, 0), # 82
(1310, 1182, 1056, 1181, 917, 464, 510, 458, 446, 219, 167, 107, 0, 1329, 1099, 857, 725, 1030, 633, 495, 342, 467, 353, 209, 133, 0), # 83
(1321, 1198, 1066, 1193, 926, 469, 518, 463, 451, 222, 171, 107, 0, 1347, 1113, 870, 731, 1042, 637, 501, 348, 473, 357, 209, 134, 0), # 84
(1335, 1216, 1077, 1204, 936, 478, 524, 470, 455, 225, 171, 107, 0, 1360, 1130, 886, 739, 1057, 646, 504, 352, 480, 362, 211, 135, 0), # 85
(1348, 1230, 1091, 1215, 948, 483, 528, 475, 459, 226, 173, 108, 0, 1381, 1143, 894, 748, 1064, 649, 508, 357, 486, 364, 213, 137, 0), # 86
(1368, 1240, 1106, 1233, 956, 487, 535, 481, 467, 226, 177, 110, 0, 1400, 1162, 904, 756, 1070, 657, 516, 363, 491, 368, 216, 138, 0), # 87
(1387, 1257, 1120, 1249, 964, 494, 540, 490, 469, 227, 178, 113, 0, 1413, 1171, 917, 763, 1082, 667, 520, 368, 500, 376, 218, 139, 0), # 88
(1411, 1267, 1137, 1260, 970, 501, 546, 495, 476, 230, 180, 114, 0, 1425, 1181, 925, 771, 1092, 672, 524, 373, 507, 379, 222, 140, 0), # 89
(1422, 1282, 1149, 1272, 980, 507, 548, 500, 480, 235, 183, 115, 0, 1438, 1190, 941, 777, 1113, 675, 528, 374, 509, 385, 224, 140, 0), # 90
(1437, 1289, 1169, 1292, 987, 511, 552, 503, 485, 239, 185, 117, 0, 1459, 1207, 950, 784, 1123, 682, 535, 380, 512, 389, 227, 140, 0), # 91
(1454, 1302, 1180, 1304, 1006, 516, 557, 508, 495, 243, 186, 117, 0, 1472, 1227, 958, 791, 1147, 688, 542, 383, 518, 390, 231, 140, 0), # 92
(1473, 1320, 1194, 1317, 1019, 521, 562, 512, 503, 244, 187, 119, 0, 1484, 1242, 967, 795, 1166, 693, 544, 385, 524, 394, 234, 144, 0), # 93
(1490, 1329, 1210, 1329, 1036, 529, 568, 515, 510, 248, 189, 120, 0, 1499, 1256, 975, 802, 1179, 698, 549, 392, 533, 401, 235, 144, 0), # 94
(1501, 1338, 1229, 1345, 1047, 536, 572, 526, 518, 249, 194, 121, 0, 1511, 1269, 984, 808, 1186, 707, 554, 393, 537, 407, 240, 144, 0), # 95
(1517, 1344, 1241, 1362, 1059, 543, 575, 534, 522, 251, 194, 122, 0, 1532, 1286, 993, 815, 1200, 710, 561, 396, 541, 410, 240, 144, 0), # 96
(1541, 1353, 1254, 1372, 1068, 551, 578, 538, 526, 255, 196, 123, 0, 1549, 1302, 1005, 819, 1211, 712, 566, 400, 546, 419, 244, 144, 0), # 97
(1551, 1365, 1266, 1385, 1082, 556, 587, 543, 533, 258, 196, 124, 0, 1565, 1307, 1014, 826, 1223, 718, 571, 402, 552, 423, 246, 144, 0), # 98
(1558, 1376, 1284, 1395, 1090, 565, 593, 548, 538, 261, 198, 125, 0, 1580, 1319, 1026, 835, 1239, 722, 583, 403, 556, 428, 248, 144, 0), # 99
(1566, 1394, 1302, 1414, 1101, 570, 604, 556, 542, 262, 201, 128, 0, 1605, 1339, 1040, 841, 1253, 725, 587, 409, 565, 432, 251, 145, 0), # 100
(1581, 1405, 1314, 1430, 1107, 573, 607, 562, 545, 263, 203, 132, 0, 1624, 1353, 1052, 855, 1263, 732, 591, 416, 570, 435, 254, 145, 0), # 101
(1607, 1414, 1324, 1439, 1120, 585, 610, 567, 551, 267, 205, 133, 0, 1651, 1366, 1060, 864, 1275, 737, 598, 420, 576, 437, 255, 148, 0), # 102
(1625, 1432, 1339, 1448, 1128, 591, 617, 569, 557, 269, 207, 134, 0, 1665, 1376, 1071, 871, 1288, 751, 604, 423, 585, 442, 264, 150, 0), # 103
(1643, 1445, 1349, 1470, 1135, 594, 621, 574, 566, 272, 208, 135, 0, 1683, 1387, 1087, 873, 1296, 756, 611, 424, 593, 448, 268, 152, 0), # 104
(1659, 1459, 1360, 1485, 1145, 599, 622, 579, 569, 272, 208, 136, 0, 1699, 1403, 1093, 881, 1307, 765, 617, 431, 598, 451, 271, 152, 0), # 105
(1670, 1473, 1373, 1502, 1155, 604, 625, 584, 578, 275, 210, 136, 0, 1723, 1418, 1099, 892, 1317, 769, 624, 432, 601, 454, 278, 152, 0), # 106
(1689, 1485, 1386, 1512, 1166, 607, 628, 589, 582, 277, 210, 137, 0, 1740, 1430, 1100, 897, 1334, 776, 629, 435, 609, 459, 278, 152, 0), # 107
(1698, 1494, 1402, 1529, 1173, 613, 630, 589, 586, 279, 213, 138, 0, 1754, 1437, 1113, 905, 1349, 782, 636, 435, 616, 463, 283, 154, 0), # 108
(1718, 1500, 1411, 1545, 1177, 620, 634, 596, 592, 280, 215, 138, 0, 1775, 1453, 1119, 913, 1366, 786, 641, 436, 617, 465, 284, 162, 0), # 109
(1736, 1509, 1421, 1559, 1193, 629, 637, 602, 601, 281, 216, 140, 0, 1791, 1464, 1126, 917, 1374, 792, 648, 440, 628, 472, 286, 163, 0), # 110
(1752, 1519, 1433, 1569, 1203, 634, 639, 605, 611, 284, 216, 141, 0, 1805, 1473, 1138, 923, 1386, 799, 653, 446, 633, 476, 288, 165, 0), # 111
(1769, 1537, 1446, 1581, 1210, 638, 645, 611, 615, 286, 220, 141, 0, 1828, 1486, 1150, 928, 1398, 806, 653, 452, 640, 478, 293, 165, 0), # 112
(1779, 1548, 1456, 1596, 1221, 642, 649, 614, 625, 287, 221, 141, 0, 1844, 1500, 1158, 935, 1408, 813, 654, 457, 648, 483, 295, 169, 0), # 113
(1793, 1562, 1471, 1609, 1232, 651, 653, 616, 628, 288, 225, 143, 0, 1859, 1516, 1165, 945, 1418, 815, 659, 466, 653, 489, 296, 169, 0), # 114
(1811, 1575, 1484, 1617, 1251, 654, 654, 619, 632, 291, 229, 144, 0, 1871, 1526, 1171, 955, 1424, 818, 661, 471, 658, 493, 299, 169, 0), # 115
(1826, 1591, 1493, 1629, 1262, 658, 657, 621, 636, 295, 229, 145, 0, 1884, 1540, 1176, 963, 1436, 825, 664, 475, 666, 495, 304, 172, 0), # 116
(1841, 1605, 1504, 1644, 1273, 660, 660, 622, 641, 297, 232, 146, 0, 1892, 1547, 1185, 971, 1449, 830, 668, 479, 678, 499, 304, 172, 0), # 117
(1854, 1616, 1516, 1658, 1290, 663, 664, 624, 646, 301, 232, 147, 0, 1902, 1560, 1195, 978, 1463, 837, 670, 484, 684, 505, 308, 174, 0), # 118
(1868, 1621, 1525, 1671, 1298, 667, 667, 626, 649, 304, 233, 149, 0, 1921, 1575, 1202, 985, 1480, 840, 674, 488, 691, 510, 311, 176, 0), # 119
(1885, 1634, 1534, 1688, 1310, 669, 672, 628, 656, 307, 235, 152, 0, 1931, 1593, 1210, 994, 1489, 847, 679, 492, 698, 520, 311, 178, 0), # 120
(1898, 1645, 1545, 1701, 1322, 671, 675, 629, 662, 312, 235, 152, 0, 1944, 1605, 1214, 1007, 1495, 858, 681, 495, 703, 523, 313, 178, 0), # 121
(1913, 1657, 1559, 1712, 1334, 675, 679, 639, 666, 313, 242, 152, 0, 1964, 1617, 1224, 1012, 1507, 859, 685, 502, 711, 525, 316, 179, 0), # 122
(1934, 1671, 1572, 1723, 1344, 681, 685, 643, 676, 314, 243, 156, 0, 1975, 1629, 1237, 1015, 1521, 868, 687, 505, 717, 532, 320, 182, 0), # 123
(1944, 1680, 1585, 1731, 1358, 684, 692, 656, 680, 314, 243, 157, 0, 1987, 1642, 1253, 1022, 1539, 871, 694, 507, 724, 535, 320, 182, 0), # 124
(1954, 1690, 1594, 1743, 1371, 685, 698, 660, 686, 317, 247, 157, 0, 2002, 1656, 1266, 1030, 1551, 879, 695, 510, 733, 543, 323, 182, 0), # 125
(1968, 1703, 1609, 1753, 1377, 689, 701, 662, 693, 319, 249, 157, 0, 2020, 1666, 1276, 1034, 1569, 885, 698, 513, 739, 547, 324, 182, 0), # 126
(1984, 1713, 1625, 1761, 1388, 693, 702, 672, 698, 325, 251, 159, 0, 2034, 1678, 1286, 1050, 1577, 889, 705, 518, 749, 554, 326, 182, 0), # 127
(1987, 1724, 1638, 1776, 1395, 701, 704, 675, 701, 329, 251, 159, 0, 2053, 1694, 1292, 1056, 1591, 894, 710, 521, 758, 561, 327, 184, 0), # 128
(1995, 1736, 1650, 1787, 1402, 706, 707, 679, 703, 331, 253, 159, 0, 2074, 1700, 1297, 1061, 1609, 901, 712, 524, 761, 564, 330, 185, 0), # 129
(2012, 1744, 1664, 1797, 1407, 709, 713, 684, 708, 334, 255, 161, 0, 2084, 1716, 1305, 1066, 1626, 905, 717, 526, 768, 564, 331, 187, 0), # 130
(2027, 1747, 1680, 1812, 1424, 712, 717, 685, 710, 335, 255, 164, 0, 2096, 1722, 1307, 1068, 1636, 908, 724, 532, 774, 567, 334, 187, 0), # 131
(2036, 1758, 1690, 1824, 1434, 713, 723, 688, 719, 339, 256, 165, 0, 2109, 1738, 1316, 1075, 1646, 911, 729, 537, 778, 575, 335, 188, 0), # 132
(2048, 1771, 1700, 1845, 1439, 719, 727, 695, 725, 342, 258, 167, 0, 2122, 1750, 1322, 1086, 1657, 923, 734, 545, 779, 578, 336, 189, 0), # 133
(2062, 1781, 1713, 1861, 1447, 728, 729, 698, 731, 345, 259, 168, 0, 2140, 1759, 1332, 1090, 1674, 928, 735, 553, 785, 585, 340, 190, 0), # 134
(2071, 1786, 1725, 1868, 1457, 731, 734, 703, 733, 349, 260, 168, 0, 2152, 1765, 1342, 1098, 1687, 935, 738, 555, 790, 590, 341, 191, 0), # 135
(2086, 1793, 1736, 1879, 1471, 736, 739, 706, 736, 352, 261, 169, 0, 2160, 1775, 1348, 1104, 1700, 942, 745, 559, 794, 593, 345, 192, 0), # 136
(2094, 1805, 1748, 1888, 1486, 741, 743, 709, 737, 356, 262, 174, 0, 2178, 1794, 1359, 1113, 1712, 944, 750, 563, 799, 598, 347, 193, 0), # 137
(2108, 1811, 1761, 1901, 1497, 744, 746, 711, 741, 359, 262, 177, 0, 2194, 1807, 1364, 1117, 1722, 950, 753, 568, 802, 601, 352, 194, 0), # 138
(2124, 1821, 1777, 1910, 1502, 751, 748, 715, 752, 359, 265, 179, 0, 2207, 1823, 1372, 1123, 1726, 954, 757, 574, 809, 606, 356, 194, 0), # 139
(2141, 1829, 1788, 1925, 1511, 759, 755, 718, 760, 363, 267, 179, 0, 2221, 1836, 1382, 1130, 1739, 955, 764, 576, 812, 610, 361, 195, 0), # 140
(2153, 1842, 1794, 1943, 1520, 768, 758, 723, 766, 365, 268, 181, 0, 2237, 1847, 1389, 1140, 1750, 962, 770, 577, 818, 614, 362, 197, 0), # 141
(2170, 1850, 1817, 1949, 1530, 771, 758, 728, 769, 368, 271, 181, 0, 2254, 1855, 1401, 1147, 1758, 967, 777, 582, 820, 616, 365, 198, 0), # 142
(2180, 1857, 1828, 1961, 1539, 775, 766, 733, 774, 368, 273, 181, 0, 2265, 1864, 1406, 1152, 1769, 970, 785, 588, 826, 620, 367, 198, 0), # 143
(2189, 1872, 1840, 1976, 1546, 781, 772, 738, 776, 370, 275, 182, 0, 2279, 1871, 1412, 1160, 1783, 975, 788, 593, 837, 625, 368, 200, 0), # 144
(2205, 1879, 1846, 1987, 1558, 786, 777, 746, 779, 373, 276, 183, 0, 2292, 1885, 1418, 1167, 1801, 981, 791, 597, 842, 628, 370, 201, 0), # 145
(2219, 1894, 1866, 1996, 1575, 788, 780, 752, 783, 374, 276, 183, 0, 2307, 1895, 1426, 1172, 1808, 984, 796, 602, 845, 634, 370, 203, 0), # 146
(2235, 1903, 1874, 2007, 1595, 796, 782, 756, 789, 376, 279, 183, 0, 2318, 1905, 1434, 1174, 1819, 991, 798, 605, 846, 635, 372, 204, 0), # 147
(2244, 1912, 1883, 2018, 1606, 802, 784, 762, 793, 378, 279, 183, 0, 2333, 1917, 1440, 1176, 1829, 994, 799, 607, 851, 640, 374, 204, 0), # 148
(2261, 1917, 1893, 2029, 1612, 806, 790, 767, 799, 381, 280, 185, 0, 2343, 1930, 1449, 1182, 1842, 999, 805, 612, 855, 641, 377, 205, 0), # 149
(2277, 1925, 1909, 2040, 1624, 811, 793, 772, 803, 384, 283, 186, 0, 2360, 1934, 1458, 1193, 1850, 1006, 809, 615, 859, 644, 378, 205, 0), # 150
(2284, 1937, 1917, 2056, 1629, 814, 798, 776, 810, 386, 288, 187, 0, 2379, 1947, 1465, 1197, 1856, 1010, 812, 619, 862, 650, 380, 205, 0), # 151
(2295, 1939, 1934, 2062, 1638, 819, 800, 781, 813, 387, 289, 187, 0, 2391, 1959, 1470, 1202, 1864, 1012, 812, 621, 870, 652, 381, 206, 0), # 152
(2301, 1948, 1943, 2071, 1650, 827, 811, 785, 816, 391, 289, 189, 0, 2402, 1969, 1476, 1210, 1878, 1021, 814, 626, 875, 656, 383, 207, 0), # 153
(2310, 1955, 1954, 2084, 1655, 830, 814, 788, 820, 394, 291, 189, 0, 2410, 1976, 1485, 1219, 1891, 1028, 819, 632, 881, 662, 387, 208, 0), # 154
(2323, 1963, 1967, 2100, 1664, 830, 818, 796, 824, 394, 293, 189, 0, 2424, 1983, 1490, 1223, 1905, 1030, 822, 637, 883, 666, 388, 210, 0), # 155
(2338, 1970, 1978, 2106, 1671, 837, 823, 799, 830, 395, 295, 189, 0, 2439, 1988, 1496, 1228, 1913, 1030, 824, 637, 889, 667, 390, 210, 0), # 156
(2355, 1979, 1993, 2116, 1685, 841, 825, 802, 834, 395, 295, 190, 0, 2447, 2000, 1504, 1233, 1924, 1035, 828, 637, 893, 669, 392, 212, 0), # 157
(2372, 1988, 2001, 2131, 1696, 848, 828, 805, 843, 396, 295, 190, 0, 2460, 2014, 1509, 1237, 1934, 1039, 833, 642, 900, 672, 395, 212, 0), # 158
(2383, 1995, 2020, 2139, 1703, 851, 829, 808, 846, 397, 297, 191, 0, 2475, 2026, 1515, 1246, 1942, 1042, 836, 645, 905, 675, 399, 214, 0), # 159
(2400, 2000, 2031, 2155, 1709, 855, 834, 813, 850, 399, 297, 191, 0, 2488, 2038, 1523, 1252, 1955, 1046, 840, 647, 909, 678, 401, 216, 0), # 160
(2416, 2005, 2038, 2165, 1717, 860, 839, 816, 856, 403, 299, 191, 0, 2498, 2040, 1532, 1254, 1969, 1049, 843, 649, 914, 681, 402, 216, 0), # 161
(2428, 2016, 2047, 2176, 1728, 868, 840, 819, 863, 408, 300, 191, 0, 2509, 2046, 1537, 1264, 1975, 1054, 846, 652, 922, 686, 403, 216, 0), # 162
(2442, 2024, 2061, 2189, 1736, 874, 844, 827, 866, 412, 301, 192, 0, 2517, 2057, 1549, 1268, 1986, 1059, 855, 653, 928, 690, 405, 219, 0), # 163
(2452, 2031, 2069, 2196, 1749, 884, 847, 829, 871, 413, 302, 192, 0, 2533, 2067, 1556, 1272, 1995, 1062, 858, 656, 933, 692, 406, 219, 0), # 164
(2463, 2033, 2076, 2204, 1752, 888, 851, 831, 872, 418, 303, 194, 0, 2545, 2079, 1563, 1274, 2001, 1067, 868, 662, 939, 697, 408, 219, 0), # 165
(2473, 2044, 2085, 2213, 1759, 891, 856, 834, 878, 419, 303, 196, 0, 2556, 2090, 1569, 1277, 2006, 1072, 873, 664, 943, 700, 409, 219, 0), # 166
(2483, 2053, 2094, 2223, 1769, 895, 856, 837, 880, 420, 306, 197, 0, 2568, 2100, 1574, 1284, 2018, 1074, 877, 670, 945, 705, 409, 221, 0), # 167
(2494, 2059, 2105, 2237, 1775, 896, 862, 838, 886, 421, 307, 199, 0, 2580, 2107, 1579, 1286, 2032, 1077, 879, 672, 947, 712, 409, 221, 0), # 168
(2499, 2065, 2109, 2248, 1787, 899, 864, 843, 890, 422, 309, 200, 0, 2586, 2116, 1587, 1291, 2042, 1082, 880, 674, 950, 715, 411, 221, 0), # 169
(2507, 2069, 2115, 2253, 1797, 909, 866, 845, 894, 424, 310, 201, 0, 2601, 2126, 1599, 1294, 2050, 1086, 881, 679, 956, 718, 411, 221, 0), # 170
(2515, 2070, 2123, 2260, 1800, 913, 874, 848, 898, 425, 311, 203, 0, 2609, 2135, 1606, 1295, 2064, 1088, 885, 679, 960, 718, 411, 222, 0), # 171
(2519, 2074, 2127, 2272, 1807, 917, 881, 849, 903, 427, 311, 204, 0, 2621, 2141, 1614, 1299, 2071, 1092, 890, 679, 962, 720, 412, 222, 0), # 172
(2533, 2079, 2133, 2278, 1813, 918, 885, 852, 907, 428, 313, 205, 0, 2629, 2148, 1618, 1304, 2078, 1096, 894, 681, 965, 724, 414, 223, 0), # 173
(2545, 2084, 2142, 2286, 1821, 925, 888, 854, 911, 428, 314, 206, 0, 2637, 2158, 1622, 1307, 2087, 1098, 896, 681, 968, 727, 414, 223, 0), # 174
(2553, 2089, 2151, 2294, 1827, 929, 890, 857, 913, 431, 314, 206, 0, 2646, 2164, 1625, 1311, 2100, 1100, 896, 682, 974, 729, 416, 223, 0), # 175
(2562, 2091, 2158, 2303, 1834, 932, 892, 857, 915, 434, 314, 207, 0, 2650, 2170, 1629, 1315, 2103, 1104, 899, 683, 977, 732, 417, 223, 0), # 176
(2565, 2093, 2166, 2310, 1842, 933, 896, 861, 917, 437, 316, 207, 0, 2659, 2175, 1631, 1318, 2111, 1107, 900, 684, 977, 734, 418, 223, 0), # 177
(2572, 2097, 2172, 2320, 1849, 937, 897, 863, 920, 437, 316, 207, 0, 2667, 2178, 1637, 1321, 2117, 1107, 900, 684, 977, 738, 422, 223, 0), # 178
(2572, 2097, 2172, 2320, 1849, 937, 897, 863, 920, 437, 316, 207, 0, 2667, 2178, 1637, 1321, 2117, 1107, 900, 684, 977, 738, 422, 223, 0), # 179
)
passenger_arriving_rate = (
(8.033384925394829, 8.103756554216645, 6.9483776394833425, 7.45760132863612, 5.924997981450252, 2.9294112699015167, 3.3168284922991322, 3.102117448652949, 3.2480528331562706, 1.5832060062089484, 1.1214040437028276, 0.6530553437741565, 0.0, 8.134208340125381, 7.183608781515721, 5.607020218514138, 4.749618018626844, 6.496105666312541, 4.342964428114128, 3.3168284922991322, 2.0924366213582264, 2.962498990725126, 2.4858671095453735, 1.3896755278966686, 0.7367051412924223, 0.0), # 0
(8.566923443231959, 8.638755684745645, 7.407128788440204, 7.95017310393194, 6.317323026639185, 3.122918011773052, 3.535575153010955, 3.306342481937139, 3.462530840710885, 1.6875922769108604, 1.1954923029216353, 0.6961622214419141, 0.0, 8.671666635903767, 7.657784435861053, 5.9774615146081755, 5.06277683073258, 6.92506168142177, 4.628879474711995, 3.535575153010955, 2.230655722695037, 3.1586615133195926, 2.650057701310647, 1.4814257576880407, 0.7853414258859679, 0.0), # 1
(9.09875681436757, 9.171631583973436, 7.864056380729885, 8.440785245597754, 6.708227171999727, 3.3156527735449486, 3.7534548063685635, 3.5097501652696135, 3.676152963668026, 1.7915655100082188, 1.269286173007017, 0.7390976869404075, 0.0, 9.206983725135505, 8.13007455634448, 6.346430865035084, 5.374696530024655, 7.352305927336052, 4.913650231377459, 3.7534548063685635, 2.3683234096749635, 3.3541135859998636, 2.8135950818659183, 1.5728112761459772, 0.8337846894521307, 0.0), # 2
(9.6268124690345, 9.70027006950679, 8.317347825759807, 8.927491689038488, 7.096172454402028, 3.5068512477461056, 3.9696029133183646, 3.7115341049963386, 3.8880720858245827, 1.8947130793704727, 1.3424929098206355, 0.7816914246573948, 0.0, 9.738036490006762, 8.598605671231342, 6.712464549103178, 5.684139238111417, 7.7761441716491655, 5.196147746994874, 3.9696029133183646, 2.5048937483900753, 3.548086227201014, 2.97583056301283, 1.6634695651519613, 0.8818427335915264, 0.0), # 3
(10.149017837465571, 10.222556958952469, 8.765190532937382, 9.408346369659084, 7.479620910716259, 3.6957491269054237, 4.183154934806767, 3.910887907463277, 4.097441090977444, 1.996622358867072, 1.4148197692241535, 0.8237731189806353, 0.0, 10.262701812703709, 9.061504308786986, 7.074098846120767, 5.9898670766012145, 8.194882181954888, 5.475243070448588, 4.183154934806767, 2.6398208049324454, 3.7398104553581293, 3.136115456553029, 1.7530381065874767, 0.9293233599047701, 0.0), # 4
(10.663300349893618, 10.736378069917262, 9.205771911670025, 9.881403222864472, 7.8570345778125645, 3.8815821035518008, 4.393246331780179, 4.1070051790163955, 4.303412862923498, 2.096880722367466, 1.4859740070792353, 0.8651724542978865, 0.0, 10.778856575412524, 9.51689699727675, 7.429870035396177, 6.290642167102396, 8.606825725846996, 5.749807250622953, 4.393246331780179, 2.772558645394143, 3.9285172889062823, 3.2938010742881585, 1.841154382334005, 0.9760343699924785, 0.0), # 5
(11.167587436551466, 11.239619220007935, 9.637279371365155, 10.344716184059584, 8.226875492561113, 4.06358587021414, 4.59901256518501, 4.299079526001659, 4.5051402854596345, 2.195075543741104, 1.555662879247542, 0.9057191149969079, 0.0, 11.284377660319372, 9.962910264965986, 7.77831439623771, 6.5852266312233105, 9.010280570919269, 6.018711336402323, 4.59901256518501, 2.902561335867243, 4.113437746280557, 3.448238728019862, 1.9274558742730312, 1.021783565455267, 0.0), # 6
(11.65980652767195, 11.73016622683126, 10.05790032143018, 10.796339188649355, 8.587605691832056, 4.2409961194213395, 4.799589095967668, 4.486304554765035, 4.701776242382744, 2.2907941968574352, 1.6235936415907386, 0.9452427854654573, 0.0, 11.777141949610431, 10.397670640120028, 8.117968207953693, 6.872382590572304, 9.403552484765488, 6.280826376671049, 4.799589095967668, 3.029282942443814, 4.293802845916028, 3.598779729549786, 2.0115800642860364, 1.066378747893751, 0.0), # 7
(12.137885053487896, 12.205904907994013, 10.465822171272528, 11.234326172038713, 8.937687212495558, 4.413048543702297, 4.994111385074558, 4.667873871652484, 4.89247361748971, 2.3836240555859103, 1.6894735499704858, 0.9835731500912939, 0.0, 12.255026325471867, 10.81930465100423, 8.447367749852429, 7.150872166757729, 9.78494723497942, 6.535023420313477, 4.994111385074558, 3.152177531215927, 4.468843606247779, 3.744775390679572, 2.093164434254506, 1.1096277189085468, 0.0), # 8
(12.599750444232136, 12.664721081102966, 10.859232330299607, 11.656731069632603, 9.27558209142177, 4.578978835585919, 5.181714893452096, 4.842981083009976, 5.076385294577426, 2.4731524937959772, 1.7530098602484476, 1.0205398932621754, 0.0, 12.71590767008986, 11.225938825883926, 8.765049301242238, 7.41945748138793, 10.152770589154851, 6.780173516213966, 5.181714893452096, 3.270699168275656, 4.637791045710885, 3.8855770232108684, 2.1718464660599213, 1.1513382801002698, 0.0), # 9
(13.043330130137491, 13.104500563764889, 11.236318207918833, 12.061607816835945, 9.599752365480853, 4.7380226876011005, 5.361535082046684, 5.010819795183474, 5.252664157442781, 2.558966885357086, 1.8139098282862867, 1.0559726993658605, 0.0, 13.157662865650577, 11.615699693024464, 9.069549141431432, 7.676900656071258, 10.505328314885562, 7.015147713256865, 5.361535082046684, 3.3843019197150714, 4.799876182740427, 4.020535938945316, 2.247263641583767, 1.1913182330695355, 0.0), # 10
(13.466551541436809, 13.52312917358657, 11.595267213537621, 12.447010349053677, 9.908660071542968, 4.889415792276744, 5.532707411804733, 5.170583614518944, 5.420463089882663, 2.640654604138688, 1.8718807099456667, 1.0897012527901082, 0.0, 13.57816879434018, 11.986713780691188, 9.359403549728333, 7.921963812416063, 10.840926179765326, 7.238817060326522, 5.532707411804733, 3.4924398516262456, 4.954330035771484, 4.14900344968456, 2.3190534427075247, 1.229375379416961, 0.0), # 11
(13.8673421083629, 13.918492728174757, 11.934266756563387, 12.810992601690735, 10.200767246478268, 5.032393842141746, 5.694367343672649, 5.321466147362347, 5.578934975693962, 2.7178030240102293, 1.9266297610882495, 1.1215552379226759, 0.0, 13.975302338344855, 12.337107617149433, 9.633148805441246, 8.153409072030687, 11.157869951387925, 7.4500526063072865, 5.694367343672649, 3.5945670301012465, 5.100383623239134, 4.270330867230246, 2.3868533513126775, 1.26531752074316, 0.0), # 12
(14.243629261148602, 14.288477045136244, 12.251504246403549, 13.151608510152053, 10.474535927156907, 5.166192529725009, 5.845650338596845, 5.462661000059654, 5.727232698673564, 2.7899995188411624, 1.9778642375756985, 1.1513643391513229, 0.0, 14.346940379850777, 12.66500773066455, 9.889321187878492, 8.369998556523486, 11.454465397347128, 7.647725400083517, 5.845650338596845, 3.6901375212321494, 5.237267963578454, 4.383869503384019, 2.45030084928071, 1.2989524586487495, 0.0), # 13
(14.593340430026746, 14.630967942077797, 12.54516709246553, 13.466912009842552, 10.728428150449055, 5.2900475475554325, 5.9856918575237295, 5.593361778956831, 5.864509142618358, 2.856831462500934, 2.0252913952696763, 1.1789582408638082, 0.0, 14.690959801044102, 12.968540649501888, 10.12645697634838, 8.570494387502801, 11.729018285236716, 7.830706490539565, 5.9856918575237295, 3.778605391111023, 5.3642140752245275, 4.488970669947518, 2.509033418493106, 1.3300879947343454, 0.0), # 14
(14.914403045230168, 14.943851236606186, 12.813442704156724, 13.754957036167184, 10.960905953224861, 5.403194588161918, 6.1136273613997005, 5.7127620903998375, 5.989917191325237, 2.917886228858997, 2.0686184900318456, 1.2041666274478897, 0.0, 15.00523748411101, 13.245832901926784, 10.343092450159226, 8.753658686576989, 11.979834382650473, 7.997866926559773, 6.1136273613997005, 3.8594247058299413, 5.480452976612431, 4.584985678722395, 2.562688540831345, 1.3585319306005625, 0.0), # 15
(15.204744536991681, 15.225012746328195, 13.054518490884568, 14.013797524530858, 11.170431372354487, 5.504869344073363, 6.228592311171181, 5.820055540734641, 6.102609728591085, 2.972751191784799, 2.1075527777238703, 1.2268191832913256, 0.0, 15.287650311237673, 13.495011016204579, 10.53776388861935, 8.918253575354395, 12.20521945718217, 8.148077757028497, 6.228592311171181, 3.932049531480973, 5.585215686177244, 4.671265841510287, 2.6109036981769136, 1.384092067848018, 0.0), # 16
(15.46229233554412, 15.472338288850588, 13.266581862056471, 14.241487410338536, 11.355466444708094, 5.594307507818667, 6.329722167784569, 5.914435736307213, 6.201739638212791, 3.021013725147788, 2.141801514207413, 1.2467455927818742, 0.0, 15.536075164610265, 13.714201520600614, 10.709007571037066, 9.063041175443361, 12.403479276425582, 8.280210030830098, 6.329722167784569, 3.9959339341561906, 5.677733222354047, 4.747162470112846, 2.6533163724112945, 1.4065762080773265, 0.0), # 17
(15.684973871120327, 15.683713681780135, 13.447820227079841, 14.436080628995136, 11.514473207155827, 5.670744771926737, 6.416152392186281, 5.995096283463507, 6.286459803987251, 3.0622612028174157, 2.171071955344136, 1.2637755403072954, 0.0, 15.748388926414954, 13.901530943380248, 10.855359776720679, 9.186783608452245, 12.572919607974502, 8.39313479684891, 6.416152392186281, 4.050531979947669, 5.757236603577914, 4.812026876331712, 2.689564045415968, 1.4257921528891033, 0.0), # 18
(15.870716573953118, 15.857024742723624, 13.596420995362104, 14.59563111590558, 11.645913696567856, 5.733416828926462, 6.4870184453227155, 6.061230788549498, 6.355923109711349, 3.0960809986631324, 2.1950713569957014, 1.2777387102553464, 0.0, 15.922468478837914, 14.055125812808807, 10.975356784978505, 9.288242995989394, 12.711846219422698, 8.485723103969297, 6.4870184453227155, 4.095297734947473, 5.822956848283928, 4.865210371968527, 2.7192841990724212, 1.441547703883966, 0.0), # 19
(16.01744787427533, 15.990157289287811, 13.710571576310672, 14.718192806474825, 11.748249949814339, 5.781559371346751, 6.54145578814029, 6.112032857911145, 6.409282439181973, 3.1220604865543846, 2.213506975023774, 1.2884647870137858, 0.0, 16.05619070406532, 14.17311265715164, 11.067534875118868, 9.366181459663151, 12.818564878363945, 8.556846001075604, 6.54145578814029, 4.129685265247679, 5.874124974907169, 4.9060642688249425, 2.7421143152621346, 1.4536506626625285, 0.0), # 20
(16.123095202319785, 16.080997139079486, 13.78845937933296, 14.801819636107783, 11.819944003765428, 5.8144080917165, 6.578599881585408, 6.1466960978944165, 6.445690676196012, 3.139787040360623, 2.226086065290016, 1.2957834549703726, 0.0, 16.147432484283325, 14.253618004674097, 11.13043032645008, 9.419361121081867, 12.891381352392024, 8.605374537052183, 6.578599881585408, 4.153148636940357, 5.909972001882714, 4.933939878702596, 2.757691875866592, 1.461908830825408, 0.0), # 21
(16.18558598831933, 16.12743010970541, 13.82827181383638, 14.844565540209405, 11.85945789529128, 5.83119868256461, 6.59758618660448, 6.164414114845277, 6.464300704550355, 3.148848033951298, 2.232515883656091, 1.2995243985128655, 0.0, 16.194070701678125, 14.294768383641518, 11.162579418280455, 9.446544101853892, 12.92860140910071, 8.630179760783388, 6.59758618660448, 4.1651419161175784, 5.92972894764564, 4.948188513403136, 2.7656543627672763, 1.4661300099732195, 0.0), # 22
(16.208629381348224, 16.132927937814358, 13.83323090992227, 14.849916975308645, 11.869580859768103, 5.833333333333334, 6.599843201807471, 6.166329218106997, 6.466627325102881, 3.149916909007774, 2.233322143243131, 1.2999863435451913, 0.0, 16.2, 14.299849778997103, 11.166610716215654, 9.44975072702332, 12.933254650205763, 8.632860905349796, 6.599843201807471, 4.166666666666667, 5.9347904298840515, 4.949972325102882, 2.7666461819844543, 1.4666298125285782, 0.0), # 23
(16.225619860854646, 16.12972098765432, 13.832419753086421, 14.849258333333335, 11.875314787855842, 5.833333333333334, 6.598603050108934, 6.163666666666667, 6.466315555555555, 3.149260246913581, 2.2332332210998884, 1.2998781893004117, 0.0, 16.2, 14.298660082304526, 11.166166105499443, 9.44778074074074, 12.93263111111111, 8.629133333333334, 6.598603050108934, 4.166666666666667, 5.937657393927921, 4.949752777777779, 2.7664839506172845, 1.4663382716049385, 0.0), # 24
(16.242251568338528, 16.1233996342021, 13.830818472793784, 14.847955246913582, 11.880922608634137, 5.833333333333334, 6.596159122085048, 6.158436213991771, 6.465699588477367, 3.1479675354366723, 2.233056906513697, 1.2996646852613931, 0.0, 16.2, 14.296311537875322, 11.165284532568485, 9.443902606310015, 12.931399176954734, 8.62181069958848, 6.596159122085048, 4.166666666666667, 5.940461304317068, 4.949318415637862, 2.766163694558757, 1.4657636031092822, 0.0), # 25
(16.258523230476854, 16.114060448102425, 13.828449016918157, 14.846022530864197, 11.886404126315846, 5.833333333333334, 6.592549374646977, 6.150736625514405, 6.46478732510288, 3.146060283493371, 2.2327947956935614, 1.2993487578113097, 0.0, 16.2, 14.292836335924404, 11.163973978467807, 9.43818085048011, 12.92957465020576, 8.611031275720167, 6.592549374646977, 4.166666666666667, 5.943202063157923, 4.948674176954733, 2.7656898033836312, 1.46491458619113, 0.0), # 26
(16.27443357394662, 16.1018, 13.825333333333333, 14.843475, 11.891759145113827, 5.833333333333334, 6.587811764705883, 6.140666666666667, 6.463586666666666, 3.143560000000001, 2.232448484848485, 1.2989333333333337, 0.0, 16.2, 14.288266666666669, 11.162242424242425, 9.430679999999999, 12.927173333333332, 8.596933333333334, 6.587811764705883, 4.166666666666667, 5.945879572556914, 4.947825000000001, 2.765066666666667, 1.4638000000000002, 0.0), # 27
(16.2899813254248, 16.08671486053955, 13.821493369913123, 14.840327469135804, 11.896987469240962, 5.833333333333334, 6.581984249172921, 6.12832510288066, 6.462105514403292, 3.140488193872886, 2.232019570187472, 1.2984213382106389, 0.0, 16.2, 14.282634720317025, 11.160097850937358, 9.421464581618656, 12.924211028806583, 8.579655144032923, 6.581984249172921, 4.166666666666667, 5.948493734620481, 4.946775823045269, 2.764298673982625, 1.462428623685414, 0.0), # 28
(16.3051652115884, 16.0689016003658, 13.816951074531323, 14.83659475308642, 11.902088902910101, 5.833333333333334, 6.575104784959253, 6.113810699588477, 6.460351769547325, 3.1368663740283504, 2.2315096479195247, 1.2978156988263985, 0.0, 16.2, 14.27597268709038, 11.157548239597624, 9.41059912208505, 12.92070353909465, 8.559334979423868, 6.575104784959253, 4.166666666666667, 5.951044451455051, 4.945531584362141, 2.763390214906265, 1.460809236396891, 0.0), # 29
(16.319983959114396, 16.04845679012346, 13.811728395061728, 14.832291666666666, 11.907063250334119, 5.833333333333334, 6.567211328976035, 6.097222222222222, 6.458333333333333, 3.1327160493827173, 2.230920314253648, 1.297119341563786, 0.0, 16.2, 14.268312757201645, 11.15460157126824, 9.398148148148149, 12.916666666666666, 8.536111111111111, 6.567211328976035, 4.166666666666667, 5.953531625167059, 4.944097222222223, 2.7623456790123457, 1.458950617283951, 0.0), # 30
(16.334436294679772, 16.02547700045725, 13.805847279378145, 14.82743302469136, 11.911910315725876, 5.833333333333334, 6.558341838134432, 6.078658436213992, 6.456058106995885, 3.1280587288523103, 2.2302531653988447, 1.296335192805975, 0.0, 16.2, 14.259687120865724, 11.151265826994223, 9.384176186556928, 12.91211621399177, 8.510121810699589, 6.558341838134432, 4.166666666666667, 5.955955157862938, 4.942477674897121, 2.761169455875629, 1.4568615454961138, 0.0), # 31
(16.34852094496153, 16.00005880201189, 13.799329675354366, 14.82203364197531, 11.916629903298237, 5.833333333333334, 6.548534269345599, 6.058218106995886, 6.453533991769548, 3.1229159213534534, 2.229509797564119, 1.2954661789361381, 0.0, 16.2, 14.250127968297518, 11.147548987820594, 9.368747764060357, 12.907067983539095, 8.48150534979424, 6.548534269345599, 4.166666666666667, 5.958314951649118, 4.940677880658438, 2.759865935070873, 1.4545508001828993, 0.0), # 32
(16.362236636636634, 15.972298765432097, 13.792197530864199, 14.816108333333332, 11.921221817264065, 5.833333333333334, 6.537826579520697, 6.0360000000000005, 6.450768888888889, 3.1173091358024703, 2.228691806958474, 1.2945152263374486, 0.0, 16.2, 14.239667489711932, 11.143459034792368, 9.351927407407409, 12.901537777777778, 8.450400000000002, 6.537826579520697, 4.166666666666667, 5.960610908632033, 4.938702777777778, 2.75843950617284, 1.452027160493827, 0.0), # 33
(16.375582096382097, 15.942293461362596, 13.784472793781436, 14.809671913580248, 11.92568586183623, 5.833333333333334, 6.526256725570888, 6.012102880658436, 6.447770699588479, 3.111259881115685, 2.2278007897909133, 1.2934852613930805, 0.0, 16.2, 14.228337875323884, 11.139003948954567, 9.333779643347052, 12.895541399176958, 8.41694403292181, 6.526256725570888, 4.166666666666667, 5.962842930918115, 4.93655730452675, 2.7568945587562874, 1.449299405578418, 0.0), # 34
(16.388556050874893, 15.9101394604481, 13.776177411979882, 14.802739197530864, 11.930021841227594, 5.833333333333334, 6.513862664407327, 5.986625514403293, 6.4445473251028815, 3.1047896662094203, 2.226838342270441, 1.2923792104862066, 0.0, 16.2, 14.216171315348271, 11.134191711352205, 9.314368998628257, 12.889094650205763, 8.381275720164611, 6.513862664407327, 4.166666666666667, 5.965010920613797, 4.934246399176955, 2.755235482395977, 1.4463763145861912, 0.0), # 35
(16.40115722679201, 15.87593333333333, 13.767333333333335, 14.795325, 11.934229559651024, 5.833333333333334, 6.500682352941176, 5.959666666666668, 6.441106666666666, 3.097920000000001, 2.225806060606061, 1.2912000000000003, 0.0, 16.2, 14.203200000000002, 11.129030303030303, 9.29376, 12.882213333333333, 8.343533333333335, 6.500682352941176, 4.166666666666667, 5.967114779825512, 4.931775000000001, 2.753466666666667, 1.4432666666666667, 0.0), # 36
(16.41338435081044, 15.839771650663007, 13.757962505715593, 14.78744413580247, 11.938308821319383, 5.833333333333334, 6.486753748083595, 5.931325102880659, 6.437456625514404, 3.090672391403751, 2.2247055410067764, 1.2899505563176348, 0.0, 16.2, 14.18945611949398, 11.123527705033881, 9.27201717421125, 12.874913251028808, 8.303855144032923, 6.486753748083595, 4.166666666666667, 5.969154410659692, 4.929148045267491, 2.751592501143119, 1.4399792409693644, 0.0), # 37
(16.425236149607162, 15.801750983081849, 13.748086877000459, 14.77911141975309, 11.942259430445535, 5.833333333333334, 6.4721148067457435, 5.901699588477367, 6.433605102880659, 3.0830683493369926, 2.22353837968159, 1.2886338058222835, 0.0, 16.2, 14.174971864045116, 11.11769189840795, 9.249205048010975, 12.867210205761317, 8.262379423868314, 6.4721148067457435, 4.166666666666667, 5.971129715222768, 4.926370473251031, 2.7496173754000917, 1.4365228166438047, 0.0), # 38
(16.436711349859177, 15.761967901234568, 13.737728395061731, 14.770341666666667, 11.94608119124235, 5.833333333333334, 6.456803485838781, 5.8708888888888895, 6.42956, 3.0751293827160504, 2.2223061728395064, 1.2872526748971194, 0.0, 16.2, 14.159779423868311, 11.111530864197531, 9.225388148148149, 12.85912, 8.219244444444445, 6.456803485838781, 4.166666666666667, 5.973040595621175, 4.923447222222223, 2.7475456790123465, 1.4329061728395065, 0.0), # 39
(16.44780867824346, 15.720518975765888, 13.726909007773205, 14.761149691358025, 11.949773907922687, 5.833333333333334, 6.440857742273865, 5.838991769547327, 6.425329218106996, 3.0668770004572488, 2.2210105166895295, 1.2858100899253166, 0.0, 16.2, 14.143910989178481, 11.105052583447646, 9.200631001371743, 12.850658436213992, 8.174588477366258, 6.440857742273865, 4.166666666666667, 5.974886953961343, 4.920383230452676, 2.745381801554641, 1.42913808870599, 0.0), # 40
(16.458526861437004, 15.677500777320528, 13.71565066300869, 14.751550308641978, 11.953337384699417, 5.833333333333334, 6.424315532962156, 5.806106995884774, 6.420920658436214, 3.05833271147691, 2.2196530074406624, 1.2843089772900476, 0.0, 16.2, 14.12739875019052, 11.09826503720331, 9.174998134430727, 12.841841316872427, 8.128549794238685, 6.424315532962156, 4.166666666666667, 5.976668692349708, 4.9171834362139935, 2.743130132601738, 1.4252273433927756, 0.0), # 41
(16.4688646261168, 15.633009876543213, 13.70397530864198, 14.741558333333336, 11.956771425785394, 5.833333333333334, 6.4072148148148145, 5.772333333333334, 6.416342222222223, 3.049518024691359, 2.2182352413019086, 1.282752263374486, 0.0, 16.2, 14.110274897119341, 11.091176206509541, 9.148554074074074, 12.832684444444446, 8.081266666666668, 6.4072148148148145, 4.166666666666667, 5.978385712892697, 4.913852777777779, 2.740795061728396, 1.421182716049383, 0.0), # 42
(16.47882069895983, 15.587142844078647, 13.69190489254687, 14.731188580246915, 11.960075835393496, 5.833333333333334, 6.389593544743001, 5.737769547325104, 6.4116018106995885, 3.040454449016919, 2.2167588144822714, 1.281142874561805, 0.0, 16.2, 14.092571620179852, 11.083794072411356, 9.121363347050755, 12.823203621399177, 8.032877366255146, 6.389593544743001, 4.166666666666667, 5.980037917696748, 4.9103961934156395, 2.738380978509374, 1.4170129858253318, 0.0), # 43
(16.488393806643085, 15.539996250571559, 13.679461362597166, 14.720455864197532, 11.963250417736582, 5.833333333333334, 6.371489679657872, 5.702514403292183, 6.4067073251028805, 3.031163493369914, 2.2152253231907557, 1.279483737235178, 0.0, 16.2, 14.074321109586954, 11.076126615953777, 9.09349048010974, 12.813414650205761, 7.983520164609057, 6.371489679657872, 4.166666666666667, 5.981625208868291, 4.906818621399179, 2.7358922725194335, 1.4127269318701419, 0.0), # 44
(16.497582675843546, 15.491666666666667, 13.66666666666667, 14.709375000000001, 11.966294977027516, 5.833333333333334, 6.352941176470589, 5.666666666666668, 6.4016666666666655, 3.021666666666668, 2.213636363636364, 1.277777777777778, 0.0, 16.2, 14.055555555555554, 11.068181818181818, 9.065000000000001, 12.803333333333331, 7.9333333333333345, 6.352941176470589, 4.166666666666667, 5.983147488513758, 4.903125000000001, 2.733333333333334, 1.4083333333333337, 0.0), # 45
(16.50638603323821, 15.442250663008686, 13.653542752629173, 14.697960802469137, 11.969209317479164, 5.833333333333334, 6.333985992092311, 5.63032510288066, 6.396487736625514, 3.0119854778235036, 2.2119935320281, 1.2760279225727789, 0.0, 16.2, 14.036307148300564, 11.059967660140499, 9.035956433470508, 12.792975473251028, 7.882455144032924, 6.333985992092311, 4.166666666666667, 5.984604658739582, 4.899320267489713, 2.730708550525835, 1.4038409693644263, 0.0), # 46
(16.514802605504055, 15.391844810242342, 13.640111568358483, 14.686228086419753, 11.971993243304391, 5.833333333333334, 6.3146620834341975, 5.593588477366255, 6.391178436213992, 3.0021414357567453, 2.210298424574968, 1.2742370980033535, 0.0, 16.2, 14.016608078036885, 11.051492122874839, 9.006424307270233, 12.782356872427984, 7.831023868312758, 6.3146620834341975, 4.166666666666667, 5.985996621652196, 4.895409362139919, 2.728022313671697, 1.3992586191129404, 0.0), # 47
(16.522831119318074, 15.340545679012347, 13.626395061728397, 14.674191666666669, 11.974646558716064, 5.833333333333334, 6.295007407407407, 5.556555555555557, 6.385746666666667, 2.9921560493827166, 2.208552637485971, 1.272408230452675, 0.0, 16.2, 13.996490534979422, 11.042763187429854, 8.976468148148149, 12.771493333333334, 7.77917777777778, 6.295007407407407, 4.166666666666667, 5.987323279358032, 4.891397222222224, 2.7252790123456796, 1.3945950617283953, 0.0), # 48
(16.53047030135726, 15.288449839963418, 13.612415180612713, 14.661866358024692, 11.977169067927047, 5.833333333333334, 6.275059920923102, 5.519325102880659, 6.380200329218106, 2.982050827617742, 2.2067577669701133, 1.2705442463039174, 0.0, 16.2, 13.97598670934309, 11.033788834850565, 8.946152482853226, 12.760400658436213, 7.727055144032923, 6.275059920923102, 4.166666666666667, 5.9885845339635235, 4.887288786008232, 2.7224830361225427, 1.389859076360311, 0.0), # 49
(16.537718878298588, 15.235653863740286, 13.598193872885233, 14.649266975308642, 11.979560575150202, 5.833333333333334, 6.25485758089244, 5.481995884773663, 6.3745473251028795, 2.971847279378144, 2.204915409236397, 1.2686480719402533, 0.0, 16.2, 13.955128791342785, 11.024577046181985, 8.91554183813443, 12.749094650205759, 7.674794238683129, 6.25485758089244, 4.166666666666667, 5.989780287575101, 4.883088991769548, 2.7196387745770467, 1.385059442158208, 0.0), # 50
(16.544575576819057, 15.182254320987655, 13.583753086419755, 14.636408333333335, 11.981820884598399, 5.833333333333334, 6.23443834422658, 5.4446666666666665, 6.368795555555556, 2.9615669135802474, 2.2030271604938276, 1.2667226337448563, 0.0, 16.2, 13.933948971193416, 11.015135802469137, 8.88470074074074, 12.737591111111112, 7.622533333333334, 6.23443834422658, 4.166666666666667, 5.9909104422991994, 4.878802777777779, 2.716750617283951, 1.380204938271605, 0.0), # 51
(16.551039123595647, 15.128347782350252, 13.56911476909008, 14.623305246913581, 11.983949800484496, 5.833333333333334, 6.213840167836683, 5.407436213991769, 6.3629529218107, 2.9512312391403754, 2.2010946169514076, 1.2647708581008996, 0.0, 16.2, 13.912479439109894, 11.005473084757037, 8.853693717421125, 12.7259058436214, 7.570410699588477, 6.213840167836683, 4.166666666666667, 5.991974900242248, 4.874435082304528, 2.713822953818016, 1.3753043438500232, 0.0), # 52
(16.55710824530535, 15.074030818472796, 13.554300868770008, 14.609972530864198, 11.985947127021364, 5.833333333333334, 6.1931010086339064, 5.370403292181071, 6.357027325102881, 2.940861764974852, 2.1991193748181406, 1.2627956713915565, 0.0, 16.2, 13.890752385307119, 10.995596874090701, 8.822585294924554, 12.714054650205762, 7.518564609053499, 6.1931010086339064, 4.166666666666667, 5.992973563510682, 4.8699908436214, 2.710860173754002, 1.3703664380429816, 0.0), # 53
(16.562781668625146, 15.019400000000001, 13.539333333333333, 14.596425, 11.987812668421869, 5.833333333333334, 6.172258823529412, 5.333666666666667, 6.351026666666667, 2.9304800000000006, 2.19710303030303, 1.2608000000000001, 0.0, 16.2, 13.8688, 10.98551515151515, 8.791440000000001, 12.702053333333334, 7.467133333333333, 6.172258823529412, 4.166666666666667, 5.993906334210934, 4.865475000000001, 2.707866666666667, 1.3654000000000004, 0.0), # 54
(16.568058120232035, 14.964551897576587, 13.524234110653865, 14.582677469135803, 11.989546228898869, 5.833333333333334, 6.151351569434358, 5.2973251028806585, 6.344958847736625, 2.9201074531321454, 2.1950471796150812, 1.2587867703094042, 0.0, 16.2, 13.846654473403445, 10.975235898075404, 8.760322359396435, 12.68991769547325, 7.416255144032922, 6.151351569434358, 4.166666666666667, 5.994773114449434, 4.860892489711935, 2.704846822130773, 1.360413808870599, 0.0), # 55
(16.572936326802996, 14.909583081847279, 13.509025148605396, 14.56874475308642, 11.991147612665237, 5.833333333333334, 6.130417203259905, 5.261477366255145, 6.338831769547324, 2.9097656332876096, 2.1929534189632958, 1.2567589087029418, 0.0, 16.2, 13.824347995732358, 10.964767094816478, 8.729296899862828, 12.677663539094649, 7.366068312757203, 6.130417203259905, 4.166666666666667, 5.995573806332619, 4.856248251028807, 2.7018050297210796, 1.3554166438042983, 0.0), # 56
(16.577415015015013, 14.85459012345679, 13.493728395061732, 14.554641666666669, 11.99261662393383, 5.833333333333334, 6.109493681917211, 5.226222222222224, 6.332653333333334, 2.899476049382717, 2.1908233445566783, 1.254719341563786, 0.0, 16.2, 13.801912757201645, 10.95411672278339, 8.69842814814815, 12.665306666666668, 7.316711111111113, 6.109493681917211, 4.166666666666667, 5.996308311966915, 4.851547222222224, 2.6987456790123465, 1.3504172839506174, 0.0), # 57
(16.581492911545087, 14.79966959304984, 13.478365797896664, 14.540383024691359, 11.99395306691752, 5.833333333333334, 6.088618962317438, 5.191658436213992, 6.326431440329218, 2.8892602103337914, 2.1886585526042324, 1.2526709952751107, 0.0, 16.2, 13.779380948026215, 10.943292763021162, 8.667780631001373, 12.652862880658436, 7.2683218106995895, 6.088618962317438, 4.166666666666667, 5.99697653345876, 4.846794341563787, 2.695673159579333, 1.3454245084590766, 0.0), # 58
(16.585168743070195, 14.744918061271147, 13.462959304983997, 14.525983641975309, 11.995156745829167, 5.833333333333334, 6.067831001371743, 5.157884773662552, 6.320173991769548, 2.879139625057157, 2.1864606393149604, 1.2506167962200887, 0.0, 16.2, 13.756784758420972, 10.9323031965748, 8.63741887517147, 12.640347983539096, 7.221038683127573, 6.067831001371743, 4.166666666666667, 5.9975783729145835, 4.841994547325104, 2.6925918609968, 1.3404470964791952, 0.0), # 59
(16.588441236267325, 14.690432098765434, 13.44753086419753, 14.511458333333334, 11.996227464881638, 5.833333333333334, 6.0471677559912855, 5.125000000000001, 6.31388888888889, 2.8691358024691365, 2.184231200897868, 1.2485596707818931, 0.0, 16.2, 13.734156378600822, 10.921156004489339, 8.607407407407408, 12.62777777777778, 7.175000000000001, 6.0471677559912855, 4.166666666666667, 5.998113732440819, 4.837152777777779, 2.6895061728395064, 1.3354938271604941, 0.0), # 60
(16.591309117813463, 14.636308276177413, 13.432102423411067, 14.496821913580249, 11.997165028287798, 5.833333333333334, 6.026667183087227, 5.093102880658437, 6.3075840329218105, 2.8592702514860546, 2.1819718335619576, 1.246502545343698, 0.0, 16.2, 13.711527998780674, 10.909859167809786, 8.577810754458163, 12.615168065843621, 7.130344032921811, 6.026667183087227, 4.166666666666667, 5.998582514143899, 4.832273971193417, 2.6864204846822135, 1.3305734796524924, 0.0), # 61
(16.593771114385607, 14.582643164151806, 13.416695930498403, 14.482089197530867, 11.997969240260517, 5.833333333333334, 6.006367239570725, 5.062292181069959, 6.301267325102881, 2.849564481024235, 2.1796841335162327, 1.2444483462886757, 0.0, 16.2, 13.68893180917543, 10.898420667581162, 8.548693443072704, 12.602534650205762, 7.0872090534979435, 6.006367239570725, 4.166666666666667, 5.998984620130258, 4.827363065843623, 2.6833391860996807, 1.3256948331047098, 0.0), # 62
(16.595825952660736, 14.529533333333333, 13.401333333333335, 14.467275000000003, 11.998639905012647, 5.833333333333334, 5.986305882352941, 5.0326666666666675, 6.294946666666666, 2.8400400000000006, 2.1773696969696976, 1.2424000000000002, 0.0, 16.2, 13.6664, 10.886848484848487, 8.52012, 12.589893333333332, 7.045733333333335, 5.986305882352941, 4.166666666666667, 5.999319952506323, 4.822425000000002, 2.6802666666666672, 1.3208666666666669, 0.0), # 63
(16.597472359315837, 14.477075354366713, 13.386036579789668, 14.452394135802471, 11.999176826757065, 5.833333333333334, 5.966521068345034, 5.004325102880659, 6.288629958847737, 2.830718317329676, 2.1750301201313547, 1.2403604328608446, 0.0, 16.2, 13.64396476146929, 10.875150600656774, 8.492154951989026, 12.577259917695473, 7.006055144032923, 5.966521068345034, 4.166666666666667, 5.999588413378532, 4.817464711934158, 2.6772073159579337, 1.316097759487883, 0.0), # 64
(16.5987090610279, 14.425365797896662, 13.370827617741199, 14.437461419753088, 11.999579809706631, 5.833333333333334, 5.947050754458163, 4.977366255144033, 6.282325102880659, 2.8216209419295843, 2.1726669992102097, 1.238332571254382, 0.0, 16.2, 13.6216582837982, 10.863334996051048, 8.464862825788751, 12.564650205761318, 6.968312757201646, 5.947050754458163, 4.166666666666667, 5.999789904853316, 4.812487139917697, 2.67416552354824, 1.3113968907178786, 0.0), # 65
(16.599534784473914, 14.374501234567903, 13.35572839506173, 14.422491666666668, 11.99984865807421, 5.833333333333334, 5.927932897603486, 4.95188888888889, 6.27604, 2.81276938271605, 2.170281930415264, 1.2363193415637863, 0.0, 16.2, 13.599512757201648, 10.851409652076319, 8.438308148148149, 12.55208, 6.932644444444446, 5.927932897603486, 4.166666666666667, 5.999924329037105, 4.807497222222223, 2.6711456790123465, 1.3067728395061733, 0.0), # 66
(16.59994825633087, 14.324578235025148, 13.340760859625059, 14.407499691358025, 11.999983176072671, 5.833333333333334, 5.909205454692165, 4.927991769547327, 6.269782551440329, 2.8041851486053964, 2.1678765099555233, 1.23432367017223, 0.0, 16.2, 13.577560371894528, 10.839382549777614, 8.412555445816189, 12.539565102880658, 6.899188477366257, 5.909205454692165, 4.166666666666667, 5.999991588036336, 4.802499897119342, 2.6681521719250116, 1.3022343850022864, 0.0), # 67
(16.59966658316932, 14.275431337669806, 13.325874599908552, 14.39237008856683, 11.999869818983834, 5.833225077478026, 5.890812155863717, 4.905562566681908, 6.263513519280598, 2.795848176658867, 2.1654095969441007, 1.2323373362532992, 0.0, 16.19980024005487, 13.555710698786289, 10.827047984720503, 8.3875445299766, 12.527027038561195, 6.867787593354672, 5.890812155863717, 4.166589341055733, 5.999934909491917, 4.797456696188944, 2.6651749199817103, 1.29776648524271, 0.0), # 68
(16.597026731078905, 14.22556009557945, 13.310651234567901, 14.376340217391304, 11.998838053740013, 5.832369272976682, 5.872214545077291, 4.8833991769547325, 6.256958847736625, 2.7875225562817723, 2.162630090377459, 1.2302958631145768, 0.0, 16.198217592592595, 13.533254494260342, 10.813150451887294, 8.362567668845315, 12.51391769547325, 6.8367588477366255, 5.872214545077291, 4.165978052126201, 5.999419026870006, 4.792113405797102, 2.66213024691358, 1.2932327359617684, 0.0), # 69
(16.59181726009423, 14.174735607770254, 13.295024577046181, 14.359304549114333, 11.996799268404205, 5.8306838388457045, 5.853328107649096, 4.861301630848957, 6.2500815424477985, 2.7791678097850943, 2.159506369740288, 1.228189701505708, 0.0, 16.195091735253776, 13.510086716562785, 10.797531848701441, 8.337503429355282, 12.500163084895597, 6.80582228318854, 5.853328107649096, 4.164774170604074, 5.998399634202102, 4.786434849704778, 2.6590049154092363, 1.2886123279791142, 0.0), # 70
(16.584111457028687, 14.122988247267578, 13.279000114311843, 14.341288204508857, 11.993779284004411, 5.828196087994717, 5.8341613276311906, 4.8392772443225125, 6.242891845755221, 2.7707841437370564, 2.1560499655423633, 1.226020391628362, 0.0, 16.190463820301783, 13.486224307911982, 10.780249827711817, 8.312352431211167, 12.485783691510441, 6.774988142051518, 5.8341613276311906, 4.162997205710512, 5.9968896420022055, 4.780429401502953, 2.6558000228623686, 1.2839080224788708, 0.0), # 71
(16.573982608695655, 14.070348387096773, 13.262583333333334, 14.322316304347826, 11.989803921568626, 5.824933333333335, 5.81472268907563, 4.817333333333334, 6.2354, 2.762371764705883, 2.1522724082934617, 1.2237894736842108, 0.0, 16.184375, 13.461684210526316, 10.761362041467306, 8.287115294117648, 12.4708, 6.744266666666667, 5.81472268907563, 4.160666666666668, 5.994901960784313, 4.7741054347826095, 2.6525166666666666, 1.2791225806451614, 0.0), # 72
(16.561504001908514, 14.016846400283198, 13.245779721079103, 14.302413969404189, 11.984899002124855, 5.820922887771173, 5.795020676034474, 4.795477213839354, 6.227616247523244, 2.753930879259798, 2.1481852285033574, 1.2214984878749227, 0.0, 16.1768664266118, 13.436483366624147, 10.740926142516786, 8.261792637779392, 12.455232495046488, 6.713668099375096, 5.795020676034474, 4.157802062693695, 5.992449501062428, 4.76747132313473, 2.649155944215821, 1.274258763662109, 0.0), # 73
(16.546748923480646, 13.962512659852205, 13.228594764517604, 14.281606320450884, 11.979090346701094, 5.816192064217854, 5.775063772559778, 4.773716201798507, 6.219550830666057, 2.7454616939670253, 2.143799956681829, 1.219148974402169, 0.0, 16.167979252400553, 13.410638718423858, 10.718999783409142, 8.236385081901075, 12.439101661332113, 6.683202682517909, 5.775063772559778, 4.154422903012753, 5.989545173350547, 4.760535440150296, 2.645718952903521, 1.269319332713837, 0.0), # 74
(16.52979066022544, 13.90737753882915, 13.211033950617283, 14.259918478260868, 11.972403776325345, 5.810768175582992, 5.754860462703601, 4.752057613168724, 6.211213991769547, 2.7369644153957884, 2.13912812333865, 1.2167424734676198, 0.0, 16.157754629629633, 13.384167208143815, 10.695640616693249, 8.210893246187364, 12.422427983539094, 6.652880658436215, 5.754860462703601, 4.150548696844995, 5.986201888162673, 4.7533061594202906, 2.6422067901234567, 1.2643070489844683, 0.0), # 75
(16.510702498956285, 13.851471410239393, 13.193102766346595, 14.237375563607085, 11.964865112025606, 5.804678534776205, 5.734419230517997, 4.730508763907942, 6.2026159731748205, 2.728439250114312, 2.134181258983598, 1.2142805252729445, 0.0, 16.146233710562413, 13.357085778002387, 10.67090629491799, 8.185317750342936, 12.405231946349641, 6.622712269471118, 5.734419230517997, 4.146198953411575, 5.982432556012803, 4.745791854535696, 2.638620553269319, 1.259224673658127, 0.0), # 76
(16.48955772648655, 13.794824647108282, 13.174806698673981, 14.21400269726248, 11.956500174829877, 5.797950454707109, 5.7137485600550235, 4.70907696997409, 6.193767017222985, 2.7198864046908207, 2.1289708941264505, 1.2117646700198144, 0.0, 16.13345764746228, 13.329411370217956, 10.64485447063225, 8.15965921407246, 12.38753403444597, 6.592707757963726, 5.7137485600550235, 4.141393181933649, 5.9782500874149385, 4.738000899087494, 2.6349613397347964, 1.254074967918935, 0.0), # 77
(16.46642962962963, 13.737467622461173, 13.156151234567902, 14.189825, 11.94733478576616, 5.790611248285322, 5.69285693536674, 4.687769547325104, 6.184677366255142, 2.711306085693537, 2.123508559276981, 1.2091964479098987, 0.0, 16.119467592592596, 13.301160927008882, 10.617542796384903, 8.13391825708061, 12.369354732510285, 6.562877366255145, 5.69285693536674, 4.136150891632373, 5.97366739288308, 4.729941666666668, 2.6312302469135807, 1.248860692951016, 0.0), # 78
(16.441391495198904, 13.679430709323423, 13.1371418609968, 14.164867592592593, 11.93739476586245, 5.782688228420464, 5.671752840505201, 4.666593811918916, 6.1753572626124065, 2.702698499690686, 2.117805784944966, 1.2065773991448674, 0.0, 16.104304698216733, 13.27235139059354, 10.58902892472483, 8.108095499072057, 12.350714525224813, 6.533231336686482, 5.671752840505201, 4.130491591728903, 5.968697382931225, 4.721622530864199, 2.6274283721993603, 1.243584609938493, 0.0), # 79
(16.414516610007755, 13.620744280720386, 13.117784064929126, 14.139155595813204, 11.92670593614675, 5.774208708022151, 5.650444759522465, 4.645557079713459, 6.165816948635879, 2.694063853250491, 2.111874101640184, 1.2039090639263914, 0.0, 16.08801011659808, 13.242999703190304, 10.559370508200919, 8.082191559751472, 12.331633897271757, 6.503779911598843, 5.650444759522465, 4.1244347914443935, 5.963352968073375, 4.713051865271069, 2.6235568129858255, 1.23824948006549, 0.0), # 80
(16.385878260869568, 13.56143870967742, 13.098083333333335, 14.112714130434785, 11.915294117647058, 5.765200000000001, 5.628941176470589, 4.624666666666667, 6.156066666666666, 2.685402352941177, 2.1057250398724086, 1.2011929824561405, 0.0, 16.070625, 13.213122807017545, 10.528625199362043, 8.05620705882353, 12.312133333333332, 6.474533333333334, 5.628941176470589, 4.118, 5.957647058823529, 4.704238043478263, 2.619616666666667, 1.2328580645161293, 0.0), # 81
(16.355549734597723, 13.501544369219879, 13.078045153177872, 14.085568317230274, 11.903185131391377, 5.75568941726363, 5.607250575401629, 4.603929888736474, 6.146116659045877, 2.676714205330967, 2.099370130151417, 1.198430694935785, 0.0, 16.052190500685874, 13.182737644293633, 10.496850650757084, 8.030142615992899, 12.292233318091753, 6.445501844231063, 5.607250575401629, 4.111206726616879, 5.951592565695688, 4.695189439076759, 2.6156090306355746, 1.2274131244745345, 0.0), # 82
(16.323604318005607, 13.441091632373114, 13.057675011431185, 14.057743276972625, 11.890404798407703, 5.745704272722655, 5.585381440367643, 4.5833540618808115, 6.135977168114616, 2.667999616988085, 2.0928209029869853, 1.195623741566995, 0.0, 16.03274777091907, 13.151861157236944, 10.464104514934926, 8.003998850964255, 12.271954336229232, 6.416695686633136, 5.585381440367643, 4.104074480516182, 5.945202399203851, 4.6859144256575425, 2.6115350022862374, 1.2219174211248287, 0.0), # 83
(16.290115297906603, 13.380110872162485, 13.036978395061729, 14.029264130434784, 11.876978939724037, 5.735271879286694, 5.563342255420687, 4.562946502057613, 6.125658436213991, 2.659258794480756, 2.0860888888888893, 1.1927736625514405, 0.0, 16.012337962962963, 13.120510288065844, 10.430444444444445, 7.977776383442267, 12.251316872427982, 6.388125102880658, 5.563342255420687, 4.096622770919067, 5.938489469862018, 4.676421376811596, 2.607395679012346, 1.2163737156511352, 0.0), # 84
(16.255155961114095, 13.318632461613346, 13.015960791037951, 14.000155998389694, 11.862933376368382, 5.724419549865368, 5.54114150461282, 4.542714525224815, 6.115170705685108, 2.650491944377203, 2.0791856183669055, 1.1898819980907918, 0.0, 15.991002229080934, 13.088701978998708, 10.395928091834525, 7.951475833131607, 12.230341411370215, 6.35980033531474, 5.54114150461282, 4.088871107046691, 5.931466688184191, 4.666718666129899, 2.6031921582075905, 1.210784769237577, 0.0), # 85
(16.21879959444146, 13.256686773751051, 12.994627686328306, 13.970444001610309, 11.84829392936873, 5.713174597368289, 5.518787671996097, 4.522665447340345, 6.104524218869075, 2.64169927324565, 2.0721226219308098, 1.1869502883867193, 0.0, 15.968781721536352, 13.05645317225391, 10.360613109654047, 7.9250978197369495, 12.20904843773815, 6.331731626276483, 5.518787671996097, 4.080838998120206, 5.924146964684365, 4.656814667203437, 2.5989255372656612, 1.2051533430682777, 0.0), # 86
(16.18111948470209, 13.194304181600955, 12.972984567901234, 13.940153260869565, 11.833086419753089, 5.7015643347050755, 5.496289241622575, 4.5028065843621405, 6.093729218106997, 2.6328809876543215, 2.0649114300903775, 1.1839800736408925, 0.0, 15.945717592592594, 13.023780810049816, 10.324557150451888, 7.898642962962963, 12.187458436213994, 6.303929218106997, 5.496289241622575, 4.072545953360768, 5.9165432098765445, 4.646717753623189, 2.594596913580247, 1.1994821983273598, 0.0), # 87
(16.142188918709373, 13.131515058188414, 12.951036922725194, 13.90930889694042, 11.817336668549451, 5.689616074785349, 5.473654697544313, 4.483145252248133, 6.082795945739979, 2.624037294171441, 2.0575635733553868, 1.1809728940549822, 0.0, 15.921850994513035, 12.990701834604803, 10.287817866776932, 7.8721118825143215, 12.165591891479957, 6.276403353147386, 5.473654697544313, 4.064011481989534, 5.908668334274726, 4.636436298980141, 2.5902073845450393, 1.193774096198947, 0.0), # 88
(16.102081183276677, 13.068349776538785, 12.928790237768634, 13.877936030595814, 11.80107049678582, 5.677357130518723, 5.4508925238133665, 4.463688766956257, 6.07173464410913, 2.6151683993652335, 2.050090582235612, 1.1779302898306583, 0.0, 15.897223079561043, 12.957233188137238, 10.250452911178058, 7.845505198095699, 12.14346928821826, 6.24916427373876, 5.4508925238133665, 4.055255093227659, 5.90053524839291, 4.625978676865272, 2.585758047553727, 1.1880317978671624, 0.0), # 89
(16.06086956521739, 13.004838709677419, 12.906250000000002, 13.846059782608698, 11.784313725490197, 5.664814814814815, 5.428011204481793, 4.444444444444445, 6.060555555555556, 2.606274509803922, 2.04250398724083, 1.1748538011695908, 0.0, 15.871875000000001, 12.923391812865496, 10.212519936204147, 7.818823529411765, 12.121111111111112, 6.222222222222222, 5.428011204481793, 4.046296296296297, 5.892156862745098, 4.615353260869567, 2.5812500000000003, 1.1822580645161291, 0.0), # 90
(16.0186273513449, 12.941012230629672, 12.883421696387746, 13.813705273752014, 11.767092175690575, 5.652016440583244, 5.405019223601649, 4.4254196006706294, 6.049268922420364, 2.597355832055731, 2.0348153188808165, 1.17174496827345, 0.0, 15.845847908093276, 12.889194651007948, 10.174076594404081, 7.792067496167191, 12.098537844840727, 6.195587440938882, 5.405019223601649, 4.037154600416603, 5.883546087845287, 4.604568424584006, 2.5766843392775494, 1.1764556573299705, 0.0), # 91
(15.975427828472597, 12.876900712420905, 12.86031081390032, 13.780897624798712, 11.749431668414964, 5.638989320733629, 5.381925065224994, 4.406621551592746, 6.037884987044658, 2.5884125726888843, 2.027036107665348, 1.1686053313439067, 0.0, 15.819182956104251, 12.85465864478297, 10.135180538326738, 7.765237718066651, 12.075769974089315, 6.169270172229845, 5.381925065224994, 4.027849514809735, 5.874715834207482, 4.593632541599572, 2.5720621627800644, 1.1706273374928098, 0.0), # 92
(15.931344283413848, 12.812534528076466, 12.836922839506174, 13.747661956521743, 11.731358024691357, 5.625760768175583, 5.358737213403881, 4.388057613168725, 6.026413991769548, 2.5794449382716054, 2.0191778841042, 1.1654364305826295, 0.0, 15.791921296296294, 12.819800736408922, 10.095889420521, 7.738334814814815, 12.052827983539096, 6.143280658436215, 5.358737213403881, 4.018400548696845, 5.865679012345678, 4.582553985507248, 2.567384567901235, 1.1647758661887697, 0.0), # 93
(15.886450002982048, 12.74794405062171, 12.813263260173755, 13.714023389694043, 11.712897065547754, 5.612358095818728, 5.335464152190369, 4.369735101356501, 6.014866178936138, 2.5704531353721194, 2.01125217870715, 1.16223980619129, 0.0, 15.764104080932785, 12.784637868104188, 10.056260893535747, 7.711359406116356, 12.029732357872277, 6.117629141899102, 5.335464152190369, 4.008827211299091, 5.856448532773877, 4.571341129898015, 2.5626526520347515, 1.1589040046019738, 0.0), # 94
(15.840818273990577, 12.683159653081995, 12.789337562871514, 13.680007045088567, 11.694074612012159, 5.598808616572678, 5.312114365636515, 4.351661332114007, 6.003251790885536, 2.561437370558649, 2.0032705219839726, 1.1590169983715575, 0.0, 15.735772462277092, 12.749186982087132, 10.016352609919863, 7.684312111675945, 12.006503581771073, 6.09232586495961, 5.312114365636515, 3.999149011837627, 5.847037306006079, 4.560002348362857, 2.5578675125743033, 1.1530145139165453, 0.0), # 95
(15.79452238325282, 12.61821170848268, 12.765151234567902, 13.645638043478261, 11.674916485112563, 5.585139643347051, 5.288696337794377, 4.333843621399177, 5.991581069958848, 2.55239785039942, 1.9952444444444448, 1.1557695473251033, 0.0, 15.706967592592594, 12.713465020576134, 9.976222222222225, 7.657193551198258, 11.983162139917695, 6.067381069958849, 5.288696337794377, 3.9893854595336076, 5.8374582425562815, 4.5485460144927545, 2.553030246913581, 1.1471101553166074, 0.0), # 96
(15.747635617582157, 12.553130589849111, 12.740709762231369, 13.61094150563607, 11.655448505876976, 5.571378489051465, 5.265218552716011, 4.316289285169945, 5.979864258497181, 2.5433347814626543, 1.9871854765983423, 1.152498993253596, 0.0, 15.677730624142663, 12.677488925789556, 9.93592738299171, 7.630004344387961, 11.959728516994362, 6.042804999237923, 5.265218552716011, 3.9795560636081895, 5.827724252938488, 4.536980501878691, 2.5481419524462736, 1.141193689986283, 0.0), # 97
(15.700231263791975, 12.487946670206647, 12.71601863283036, 13.575942552334945, 11.635696495333388, 5.557552466595541, 5.241689494453475, 4.299005639384241, 5.968111598841639, 2.5342483703165772, 1.9791051489554419, 1.1492068763587067, 0.0, 15.648102709190674, 12.64127563994577, 9.89552574477721, 7.60274511094973, 11.936223197683278, 6.018607895137937, 5.241689494453475, 3.969680333282529, 5.817848247666694, 4.525314184111649, 2.5432037265660723, 1.1352678791096953, 0.0), # 98
(15.652382608695653, 12.422690322580646, 12.691083333333335, 13.540666304347827, 11.615686274509805, 5.543688888888889, 5.218117647058825, 4.282000000000001, 5.956333333333333, 2.5251388235294123, 1.9710149920255189, 1.1458947368421055, 0.0, 15.618125000000001, 12.604842105263158, 9.855074960127594, 7.575416470588236, 11.912666666666667, 5.9948000000000015, 5.218117647058825, 3.9597777777777776, 5.807843137254903, 4.51355543478261, 2.5382166666666675, 1.129335483870968, 0.0), # 99
(15.60416293910658, 12.357391919996457, 12.665909350708734, 13.505137882447666, 11.595443664434223, 5.529815068841132, 5.194511494584116, 4.265279682975157, 5.944539704313367, 2.516006347669384, 1.9629265363183495, 1.1425641149054624, 0.0, 15.58783864883402, 12.568205263960085, 9.814632681591746, 7.54801904300815, 11.889079408626735, 5.97139155616522, 5.194511494584116, 3.9498679063150943, 5.797721832217111, 4.501712627482556, 2.533181870141747, 1.1233992654542237, 0.0), # 100
(15.555645541838135, 12.292081835479447, 12.640502171925013, 13.469382407407409, 11.574994486134646, 5.515958319361886, 5.17087952108141, 4.248852004267642, 5.932740954122847, 2.506851149304716, 1.9548513123437101, 1.1392165507504473, 0.0, 15.557284807956103, 12.531382058254918, 9.77425656171855, 7.520553447914146, 11.865481908245695, 5.948392805974699, 5.17087952108141, 3.9399702281156324, 5.787497243067323, 4.48979413580247, 2.528100434385003, 1.1174619850435863, 0.0), # 101
(15.506903703703706, 12.22679044205496, 12.614867283950618, 13.433425000000002, 11.554364560639069, 5.5021459533607695, 5.1472302106027605, 4.2327242798353915, 5.920947325102881, 2.497673435003632, 1.9468008506113774, 1.135853584578731, 0.0, 15.526504629629631, 12.49438943036604, 9.734004253056886, 7.493020305010894, 11.841894650205761, 5.925813991769548, 5.1472302106027605, 3.93010425240055, 5.7771822803195345, 4.477808333333335, 2.522973456790124, 1.1115264038231782, 0.0), # 102
(15.458010711516671, 12.161548112748353, 12.589010173754001, 13.397290780998391, 11.533579708975497, 5.488405283747397, 5.123572047200224, 4.2169038256363365, 5.909169059594573, 2.4884734113343563, 1.9387866816311266, 1.132476756591983, 0.0, 15.495539266117968, 12.457244322511812, 9.693933408155633, 7.4654202340030675, 11.818338119189146, 5.903665355890872, 5.123572047200224, 3.920289488390998, 5.766789854487748, 4.465763593666131, 2.5178020347508006, 1.1055952829771232, 0.0), # 103
(15.409039852090416, 12.096385220584981, 12.562936328303612, 13.361004871175524, 11.512665752171923, 5.474763623431389, 5.099913514925861, 4.201397957628411, 5.897416399939034, 2.479251284865113, 1.9308203359127338, 1.129087606991874, 0.0, 15.464429869684501, 12.419963676910612, 9.654101679563668, 7.437753854595337, 11.794832799878067, 5.881957140679775, 5.099913514925861, 3.9105454453081343, 5.756332876085962, 4.4536682903918425, 2.5125872656607227, 1.099671383689544, 0.0), # 104
(15.360064412238325, 12.031332138590201, 12.536651234567902, 13.324592391304346, 11.491648511256354, 5.461248285322361, 5.076263097831727, 4.186213991769549, 5.885699588477366, 2.470007262164126, 1.922913343965976, 1.125687675980074, 0.0, 15.433217592592593, 12.382564435780811, 9.61456671982988, 7.410021786492376, 11.771399176954732, 5.860699588477368, 5.076263097831727, 3.9008916323731144, 5.745824255628177, 4.44153079710145, 2.5073302469135803, 1.093757467144564, 0.0), # 105
(15.311157678773782, 11.96641923978937, 12.510160379515318, 13.28807846215781, 11.470553807256785, 5.44788658232993, 5.052629279969876, 4.1713592440176805, 5.8740288675506775, 2.4607415497996183, 1.9150772363006283, 1.1222785037582528, 0.0, 15.401943587105624, 12.345063541340778, 9.575386181503141, 7.382224649398854, 11.748057735101355, 5.839902941624753, 5.052629279969876, 3.8913475588070923, 5.735276903628392, 4.429359487385938, 2.5020320759030636, 1.0878562945263066, 0.0), # 106
(15.26239293851017, 11.901676897207842, 12.483469250114315, 13.251488204508856, 11.449407461201215, 5.434705827363715, 5.0290205453923695, 4.156841030330743, 5.862414479500076, 2.451454354339816, 1.9073235434264675, 1.1188616305280807, 0.0, 15.370649005486968, 12.307477935808887, 9.536617717132337, 7.354363063019447, 11.724828959000153, 5.819577442463041, 5.0290205453923695, 3.8819327338312255, 5.724703730600607, 4.417162734836286, 2.496693850022863, 1.081970627018895, 0.0), # 107
(15.21384347826087, 11.83713548387097, 12.456583333333336, 13.214846739130437, 11.428235294117645, 5.421733333333335, 5.0054453781512604, 4.142666666666667, 5.850866666666667, 2.442145882352942, 1.8996637958532698, 1.1154385964912283, 0.0, 15.339375000000002, 12.26982456140351, 9.498318979266347, 7.326437647058825, 11.701733333333333, 5.799733333333334, 5.0054453781512604, 3.8726666666666674, 5.714117647058822, 4.40494891304348, 2.4913166666666675, 1.076103225806452, 0.0), # 108
(15.16558258483927, 11.772825372804107, 12.429508116140834, 13.17817918679549, 11.40706312703408, 5.408996413148403, 4.98191226229861, 4.128843468983388, 5.839395671391555, 2.4328163404072196, 1.8921095240908108, 1.112010941849365, 0.0, 15.308162722908094, 12.232120360343014, 9.460547620454054, 7.298449021221657, 11.67879134278311, 5.780380856576743, 4.98191226229861, 3.8635688665345733, 5.70353156351704, 4.392726395598498, 2.485901623228167, 1.0702568520731008, 0.0), # 109
(15.117683545058746, 11.708776937032614, 12.402249085505263, 13.141510668276972, 11.385916780978512, 5.396522379718539, 4.9584296818864715, 4.1153787532388355, 5.828011736015851, 2.423465935070874, 1.8846722586488671, 1.108580206804162, 0.0, 15.277053326474624, 12.194382274845779, 9.423361293244335, 7.27039780521262, 11.656023472031702, 5.76153025453437, 4.9584296818864715, 3.8546588426560997, 5.692958390489256, 4.380503556092325, 2.4804498171010527, 1.0644342670029652, 0.0), # 110
(15.07021964573269, 11.64502054958184, 12.374811728395064, 13.104866304347826, 11.36482207697894, 5.384338545953361, 4.935006120966905, 4.102279835390947, 5.816725102880659, 2.4140948729121283, 1.8773635300372145, 1.1051479315572885, 0.0, 15.246087962962964, 12.156627247130173, 9.386817650186073, 7.242284618736384, 11.633450205761317, 5.743191769547326, 4.935006120966905, 3.845956104252401, 5.68241103848947, 4.368288768115943, 2.474962345679013, 1.0586382317801675, 0.0), # 111
(15.02326417367448, 11.581586583477144, 12.347201531778696, 13.068271215781, 11.34380483606337, 5.372472224762486, 4.911650063591967, 4.089554031397653, 5.805546014327083, 2.404703360499207, 1.8701948687656293, 1.101715656310415, 0.0, 15.215307784636488, 12.118872219414563, 9.350974343828147, 7.214110081497619, 11.611092028654166, 5.725375643956714, 4.911650063591967, 3.837480160544633, 5.671902418031685, 4.356090405260334, 2.469440306355739, 1.0528715075888313, 0.0), # 112
(14.976806757924871, 11.51861130755273, 12.319490437669426, 13.031800658990448, 11.322854058851952, 5.3609451179335466, 4.888420770925416, 4.077235045853738, 5.794513499337931, 2.3953218946450923, 1.8631797083074313, 1.098292391533924, 0.0, 15.184710241349155, 12.081216306873161, 9.315898541537155, 7.185965683935276, 11.589026998675863, 5.708129064195233, 4.888420770925416, 3.829246512809676, 5.661427029425976, 4.343933552996817, 2.4638980875338854, 1.0471464825047938, 0.0), # 113
(14.930369436640104, 11.456715869170786, 12.292060900028826, 12.995747305532802, 11.301752911537415, 5.349730967961242, 4.865614566728464, 4.065474173003413, 5.783796819046966, 2.3861260671651134, 1.8563318232301862, 1.094921622948397, 0.0, 15.154040662656056, 12.044137852432362, 9.28165911615093, 7.1583782014953385, 11.567593638093932, 5.691663842204779, 4.865614566728464, 3.821236405686601, 5.6508764557687075, 4.331915768510935, 2.4584121800057654, 1.0415196244700715, 0.0), # 114
(14.883815844806392, 11.395922558068468, 12.264929243609757, 12.960101406218136, 11.280434856414509, 5.338800611665514, 4.84324772015325, 4.054268436185806, 5.773399988623354, 2.3771301311952313, 1.8496412030472253, 1.091605011007847, 0.0, 15.123210610656603, 12.007655121086316, 9.248206015236125, 7.131390393585693, 11.546799977246708, 5.675975810660129, 4.84324772015325, 3.8134290083325095, 5.640217428207254, 4.320033802072713, 2.452985848721952, 1.0359929598244064, 0.0), # 115
(14.837087797180216, 11.336142812561162, 12.238042919978499, 12.924799380319683, 11.25886776147603, 5.328128285467958, 4.821283854022315, 4.043586875265996, 5.763296714254843, 2.3683173433798195, 1.8430949150057288, 1.0883364263316462, 0.0, 15.092171615609425, 11.971700689648106, 9.215474575028642, 7.104952030139457, 11.526593428509686, 5.661021625372395, 4.821283854022315, 3.8058059181913984, 5.629433880738015, 4.308266460106562, 2.4476085839957, 1.0305584375055605, 0.0), # 116
(14.790127108518035, 11.277288070964257, 12.211349380701316, 12.88977764711069, 11.237019494714783, 5.317688225790165, 4.799686591158202, 4.033398530109057, 5.753460702129175, 2.359670960363252, 1.8366800263528757, 1.085109739539167, 0.0, 15.06087520777316, 11.936207134930834, 9.183400131764378, 7.079012881089755, 11.50692140425835, 5.6467579421526795, 4.799686591158202, 3.7983487327072605, 5.6185097473573915, 4.296592549036898, 2.4422698761402635, 1.0252080064512963, 0.0), # 117
(14.742875593576338, 11.21926977159314, 12.18479607734449, 12.854972625864399, 11.214857924123566, 5.3074546690537305, 4.7784195543834524, 4.023672440580065, 5.743865658434098, 2.351174238789904, 1.8303836043358468, 1.0819188212497801, 0.0, 15.02927291740644, 11.901107033747579, 9.151918021679233, 7.053522716369711, 11.487731316868196, 5.633141416812091, 4.7784195543834524, 3.791039049324093, 5.607428962061783, 4.284990875288134, 2.436959215468898, 1.0199336155993766, 0.0), # 118
(14.695275067111588, 11.161999352763203, 12.158330461474298, 12.820320735854047, 11.192350917695169, 5.297401851680244, 4.757446366520605, 4.014377646544097, 5.734485289357356, 2.3428104353041492, 1.824192716201821, 1.0787575420828581, 0.0, 14.997316274767892, 11.866332962911438, 9.120963581009105, 7.028431305912447, 11.468970578714712, 5.620128705161736, 4.757446366520605, 3.7838584654858884, 5.5961754588475845, 4.273440245284683, 2.43166609229486, 1.014727213887564, 0.0), # 119
(14.647267343880259, 11.105388252789831, 12.131899984657018, 12.785758396352872, 11.169466343422396, 5.287504010091301, 4.736730650392203, 4.005483187866229, 5.7252933010866975, 2.3345628065503625, 1.818094429197978, 1.0756197726577732, 0.0, 14.964956810116156, 11.831817499235502, 9.090472145989889, 7.003688419651086, 11.450586602173395, 5.60767646301272, 4.736730650392203, 3.7767885786366437, 5.584733171711198, 4.2619194654509585, 2.4263799969314035, 1.0095807502536214, 0.0), # 120
(14.59879423863883, 11.049347909988416, 12.105452098458917, 12.751222026634121, 11.146172069298046, 5.277735380708496, 4.716236028820784, 3.9969581044115383, 5.716263399809866, 2.326414609172919, 1.812075810571498, 1.0724993835938965, 0.0, 14.932146053709857, 11.797493219532859, 9.060379052857488, 6.979243827518756, 11.432526799619732, 5.595741346176154, 4.716236028820784, 3.769810986220354, 5.573086034649023, 4.250407342211375, 2.4210904196917835, 1.0044861736353108, 0.0), # 121
(14.549797566143766, 10.993789762674343, 12.078934254446281, 12.716648045971027, 11.122435963314915, 5.268070199953418, 4.695926124628894, 3.9887714360450994, 5.707369291714607, 2.3183490998161913, 1.8061239275695606, 1.0693902455106004, 0.0, 14.898835535807633, 11.763292700616601, 9.030619637847803, 6.955047299448573, 11.414738583429214, 5.584280010463139, 4.695926124628894, 3.762907285681013, 5.561217981657458, 4.238882681990344, 2.4157868508892566, 0.9994354329703949, 0.0), # 122
(14.50021914115155, 10.938625249163001, 12.052293904185383, 12.681972873636834, 11.098225893465804, 5.258482704247664, 4.675764560639071, 3.9808922226319887, 5.698584682988669, 2.3103495351245553, 1.8002258474393456, 1.0662862290272563, 0.0, 14.864976786668116, 11.729148519299818, 9.001129237196727, 6.931048605373665, 11.397169365977337, 5.573249111684785, 4.675764560639071, 3.7560590744626166, 5.549112946732902, 4.227324291212279, 2.4104587808370765, 0.9944204771966367, 0.0), # 123
(14.450000778418648, 10.883765807769782, 12.025478499242494, 12.647132928904785, 11.073509727743506, 5.248947130012824, 4.655714959673856, 3.9732895040372846, 5.689883279819794, 2.302399171742385, 1.794368637428032, 1.063181204763237, 0.0, 14.830521336549939, 11.694993252395603, 8.971843187140161, 6.907197515227153, 11.379766559639588, 5.562605305652198, 4.655714959673856, 3.74924795000916, 5.536754863871753, 4.215710976301596, 2.405095699848499, 0.9894332552517985, 0.0), # 124
(14.399084292701534, 10.82912287681007, 11.9984354911839, 12.612064631048113, 11.048255334140823, 5.239437713670492, 4.635740944555791, 3.965932320126061, 5.68123878839573, 2.294481266314054, 1.7885393647828007, 1.0600690433379134, 0.0, 14.795420715711726, 11.660759476717045, 8.942696823914003, 6.883443798942161, 11.36247757679146, 5.552305248176485, 4.635740944555791, 3.7424555097646373, 5.524127667070411, 4.204021543682705, 2.39968709823678, 0.9844657160736429, 0.0), # 125
(14.347411498756685, 10.774607894599258, 11.971112331575865, 12.576704399340066, 11.022430580650552, 5.229928691642264, 4.615806138107416, 3.958789710763395, 5.6726249149042225, 2.2865790754839375, 1.7827250967508306, 1.0569436153706582, 0.0, 14.759626454412127, 11.626379769077237, 8.913625483754151, 6.859737226451811, 11.345249829808445, 5.542305595068753, 4.615806138107416, 3.735663351173045, 5.511215290325276, 4.192234799780023, 2.394222466315173, 0.9795098085999328, 0.0), # 126
(14.294924211340579, 10.720132299452729, 11.943456471984673, 12.54098865305388, 10.996003335265492, 5.220394300349728, 4.595874163151275, 3.951830715814364, 5.664015365533016, 2.27867585589641, 1.7769129005793014, 1.0537987914808424, 0.0, 14.723090082909758, 11.591786706289264, 8.884564502896506, 6.836027567689229, 11.328030731066033, 5.53256300214011, 4.595874163151275, 3.728853071678377, 5.498001667632746, 4.1803295510179606, 2.388691294396935, 0.97455748176843, 0.0), # 127
(14.241564245209673, 10.665607529685879, 11.915415363976601, 12.504853811462798, 10.968941465978443, 5.210808776214481, 4.575908642509906, 3.9450243751440417, 5.655383846469858, 2.2707548641958457, 1.7710898435153934, 1.0506284422878387, 0.0, 14.68576313146326, 11.556912865166222, 8.855449217576966, 6.812264592587535, 11.310767692939717, 5.523034125201659, 4.575908642509906, 3.722006268724629, 5.484470732989221, 4.168284603820934, 2.3830830727953205, 0.9696006845168982, 0.0), # 128
(14.187273415120451, 10.610945023614088, 11.886936459117921, 12.468236293840059, 10.9412128407822, 5.201146355658116, 4.555873199005851, 3.938339728617507, 5.646704063902494, 2.2627993570266187, 1.765242992806286, 1.0474264384110183, 0.0, 14.647597130331262, 11.5216908225212, 8.82621496403143, 6.788398071079855, 11.293408127804987, 5.51367562006451, 4.555873199005851, 3.7151045397557967, 5.4706064203911, 4.156078764613354, 2.377387291823584, 0.9646313657830989, 0.0), # 129
(14.131993535829388, 10.556056219552751, 11.857967208974907, 12.431072519458905, 10.91278532766956, 5.191381275102222, 4.53573145546165, 3.9317458160998338, 5.637949724018666, 2.2547925910331035, 1.7593594156991588, 1.044186650469754, 0.0, 14.608543609772397, 11.48605315516729, 8.796797078495793, 6.764377773099309, 11.275899448037332, 5.504444142539767, 4.53573145546165, 3.7081294822158726, 5.45639266383478, 4.1436908398196355, 2.3715934417949813, 0.9596414745047956, 0.0), # 130
(14.07566642209295, 10.500852555817252, 11.828455065113841, 12.393298907592571, 10.883626794633326, 5.181487770968396, 4.515447034699847, 3.9252116774560997, 5.629094533006126, 2.2467178228596745, 1.7534261794411918, 1.0409029490834167, 0.0, 14.568554100045299, 11.449932439917582, 8.767130897205957, 6.740153468579022, 11.258189066012251, 5.49529634843854, 4.515447034699847, 3.701062693548854, 5.441813397316663, 4.131099635864191, 2.3656910130227686, 0.9546229596197504, 0.0), # 131
(14.018233888667616, 10.445245470722984, 11.798347479100995, 12.354851877514303, 10.853705109666297, 5.171440079678229, 4.49498355954298, 3.918706352551382, 5.620112197052615, 2.238558309150706, 1.7474303512795641, 1.0375692048713792, 0.0, 14.527580131408602, 11.413261253585167, 8.73715175639782, 6.715674927452117, 11.24022439410523, 5.486188893571935, 4.49498355954298, 3.693885771198735, 5.4268525548331485, 4.1182839591714355, 2.3596694958201994, 0.949567770065726, 0.0), # 132
(13.959637750309861, 10.38914640258533, 11.767591902502646, 12.315667848497343, 10.822988140761264, 5.161212437653315, 4.474304652813592, 3.9121988812507547, 5.61097642234588, 2.2302973065505736, 1.7413589984614566, 1.0341792884530125, 0.0, 14.485573234120938, 11.375972172983136, 8.706794992307282, 6.690891919651719, 11.22195284469176, 5.477078433751057, 4.474304652813592, 3.686580312609511, 5.411494070380632, 4.105222616165782, 2.3535183805005295, 0.9444678547804848, 0.0), # 133
(13.899819821776152, 10.332466789719687, 11.736135786885072, 12.275683239814924, 10.791443755911033, 5.150779081315248, 4.453373937334223, 3.9056583034192958, 5.601660915073669, 2.2219180717036497, 1.7351991882340478, 1.030727070447689, 0.0, 14.442484938440934, 11.337997774924577, 8.675995941170239, 6.6657542151109475, 11.203321830147338, 5.467921624787015, 4.453373937334223, 3.6791279152251772, 5.395721877955516, 4.091894413271643, 2.3472271573770147, 0.9393151627017899, 0.0), # 134
(13.838721917822966, 10.275118070441435, 11.703926583814546, 12.234834470740296, 10.759039823108395, 5.14011424708562, 4.432155035927415, 3.8990536589220803, 5.592139381423722, 2.213403861254311, 1.7289379878445184, 1.0272064214747805, 0.0, 14.398266774627231, 11.299270636222584, 8.64468993922259, 6.640211583762932, 11.184278762847445, 5.458675122490913, 4.432155035927415, 3.671510176489728, 5.379519911554198, 4.0782781569134325, 2.340785316762909, 0.9341016427674034, 0.0), # 135
(13.776285853206776, 10.217011683065968, 11.670911744857346, 12.193057960546685, 10.725744210346152, 5.129192171386024, 4.410611571415708, 3.892353987624185, 5.5823855275837895, 2.2047379318469296, 1.7225624645400475, 1.0236112121536591, 0.0, 14.352870272938459, 11.259723333690248, 8.612812322700236, 6.614213795540787, 11.164771055167579, 5.44929558267386, 4.410611571415708, 3.6637086938471604, 5.362872105173076, 4.064352653515563, 2.3341823489714693, 0.9288192439150881, 0.0), # 136
(13.712453442684055, 10.15805906590867, 11.63703872157975, 12.15029012850735, 10.691524785617101, 5.117987090638052, 4.388707166621645, 3.885528329390686, 5.572373059741617, 2.1959035401258813, 1.716059685567815, 1.0199353131036961, 0.0, 14.306246963633242, 11.219288444140656, 8.580298427839075, 6.587710620377642, 11.144746119483234, 5.439739661146961, 4.388707166621645, 3.6557050647414657, 5.345762392808551, 4.050096709502451, 2.3274077443159498, 0.9234599150826065, 0.0), # 137
(13.647166501011277, 10.098171657284933, 11.602254965548024, 12.106467393895517, 10.656349416914047, 5.106473241263299, 4.366405444367763, 3.8785457240866603, 5.56207568408495, 2.1868839427355393, 1.7094167181750008, 1.016172594944264, 0.0, 14.258348376970226, 11.1778985443869, 8.547083590875005, 6.560651828206616, 11.1241513681699, 5.4299640137213245, 4.366405444367763, 3.6474808866166426, 5.3281747084570235, 4.035489131298506, 2.320450993109605, 0.9180156052077213, 0.0), # 138
(13.58036684294491, 10.037260895510144, 11.566507928328454, 12.061526175984431, 10.620185972229777, 5.094624859683358, 4.343670027476608, 3.8713752115771833, 5.551467106801532, 2.1776623963202795, 1.7026206296087845, 1.0123169282947344, 0.0, 14.20912604320803, 11.135486211242075, 8.513103148043921, 6.532987188960837, 11.102934213603064, 5.419925296208056, 4.343670027476608, 3.6390177569166844, 5.3100929861148884, 4.020508725328145, 2.313301585665691, 0.912478263228195, 0.0), # 139
(13.511996283241437, 9.97523821889969, 11.529745061487317, 12.015402894047334, 10.583002319557098, 5.082416182319821, 4.320464538770717, 3.863985831727331, 5.54052103407911, 2.168222157524475, 1.6956584871163454, 1.008362183774479, 0.0, 14.158531492605304, 11.091984021519266, 8.478292435581725, 6.504666472573423, 11.08104206815822, 5.409580164418264, 4.320464538770717, 3.6302972730855863, 5.291501159778549, 4.005134298015779, 2.3059490122974635, 0.9068398380817901, 0.0), # 140
(13.44199663665733, 9.912015065768964, 11.491913816590882, 11.968033967357464, 10.544766326888803, 5.069821445594281, 4.296752601072636, 3.8563466244021805, 5.529211172105429, 2.158546482992501, 1.688517357944864, 1.00430223200287, 0.0, 14.106516255420662, 11.047324552031569, 8.442586789724318, 6.4756394489775015, 11.058422344210857, 5.398885274163053, 4.296752601072636, 3.6213010325673434, 5.272383163444402, 3.989344655785822, 2.2983827633181764, 0.9010922787062696, 0.0), # 141
(13.37030971794905, 9.84750287443335, 11.452961645205429, 11.919355815188066, 10.505445862217693, 5.056814885928333, 4.272497837204901, 3.848426629466808, 5.517511227068235, 2.1486186293687317, 1.6811843093415195, 1.0001309435992793, 0.0, 14.053031861912746, 11.001440379592072, 8.405921546707596, 6.445855888106194, 11.03502245413647, 5.3877972812535315, 4.272497837204901, 3.612010632805952, 5.252722931108846, 3.973118605062689, 2.2905923290410857, 0.8952275340393956, 0.0), # 142
(13.29687734187308, 9.781613083208239, 11.412835998897235, 11.86930485681237, 10.465008793536564, 5.043370739743566, 4.247663869990055, 3.840194886786288, 5.505394905155279, 2.1384218532975416, 1.6736464085534917, 0.9958421891830788, 0.0, 13.998029842340188, 10.954264081013864, 8.368232042767458, 6.415265559892624, 11.010789810310557, 5.376272841500803, 4.247663869990055, 3.6024076712454045, 5.232504396768282, 3.956434952270791, 2.282567199779447, 0.8892375530189309, 0.0), # 143
(13.221641323185896, 9.714257130409019, 11.37148432923257, 11.817817511503629, 10.423422988838217, 5.029463243461577, 4.222214322250639, 3.8316204362256996, 5.492835912554298, 2.1279394114233043, 1.6658907228279605, 0.99142983937364, 0.0, 13.941461726961624, 10.905728233110038, 8.329453614139801, 6.383818234269912, 10.985671825108597, 5.364268610715979, 4.222214322250639, 3.592473745329698, 5.2117114944191085, 3.9392725038345437, 2.2742968658465146, 0.8831142845826383, 0.0), # 144
(13.144543476643964, 9.64534645435108, 11.328854087777719, 11.764830198535075, 10.380656316115449, 5.015066633503958, 4.196112816809195, 3.8226723176501176, 5.479807955453042, 2.1171545603903956, 1.6579043194121055, 0.9868877647903354, 0.0, 13.88327904603568, 10.855765412693687, 8.289521597060528, 6.351463681171186, 10.959615910906084, 5.351741244710165, 4.196112816809195, 3.582190452502827, 5.190328158057724, 3.921610066178359, 2.265770817555544, 0.8768496776682801, 0.0), # 145
(13.065525617003761, 9.574792493349808, 11.284892726098956, 11.710279337179951, 10.33667664336106, 5.000155146292303, 4.169322976488264, 3.813319570924618, 5.4662847400392565, 2.1060505568431886, 1.6496742655531065, 0.9822098360525362, 0.0, 13.82343332982099, 10.804308196577896, 8.248371327765533, 6.318151670529565, 10.932569480078513, 5.338647399294466, 4.169322976488264, 3.5715393902087875, 5.16833832168053, 3.903426445726651, 2.2569785452197917, 0.870435681213619, 0.0), # 146
(12.98452955902176, 9.502506685720592, 11.239547695762546, 11.654101346711496, 10.291451838567841, 4.984703018248201, 4.141808424110385, 3.803531235914277, 5.4522399725006885, 2.094610657426059, 1.6411876284981433, 0.9773899237796149, 0.0, 13.761876108576189, 10.751289161575762, 8.205938142490716, 6.2838319722781755, 10.904479945001377, 5.324943730279988, 4.141808424110385, 3.5605021558915717, 5.145725919283921, 3.884700448903833, 2.2479095391525097, 0.8638642441564175, 0.0), # 147
(12.901497117454435, 9.428400469778822, 11.192766448334778, 11.596232646402957, 10.2449497697286, 4.968684485793251, 4.113532782498101, 3.7932763524841717, 5.437647359025082, 2.082818118783379, 1.6324314754943956, 0.9724218985909429, 0.0, 13.698558912559907, 10.69664088450037, 8.162157377471978, 6.248454356350136, 10.875294718050164, 5.310586893477841, 4.113532782498101, 3.5490603469951787, 5.1224748848643, 3.8654108821343196, 2.2385532896669558, 0.8571273154344385, 0.0), # 148
(12.81637010705826, 9.352385283839885, 11.144496435381926, 11.536609655527563, 10.197138304836129, 4.9520737853490395, 4.084459674473953, 3.7825239604993777, 5.42248060580018, 2.0706561975595257, 1.6233928737890426, 0.9672996311058923, 0.0, 13.63343327203078, 10.640295942164814, 8.116964368945213, 6.211968592678575, 10.84496121160036, 5.295533544699129, 4.084459674473953, 3.5371955609635997, 5.098569152418064, 3.845536551842522, 2.2288992870763855, 0.8502168439854443, 0.0), # 149
(12.729090342589704, 9.274372566219169, 11.09468510847026, 11.475168793358566, 10.147985311883227, 4.934845153337166, 4.054552722860481, 3.771243099824971, 5.406713419013735, 2.058108150398871, 1.614058890629265, 0.9620169919438353, 0.0, 13.566450717247434, 10.582186911382186, 8.070294453146325, 6.174324451196611, 10.81342683802747, 5.27974033975496, 4.054552722860481, 3.524889395240833, 5.0739926559416135, 3.825056264452856, 2.2189370216940523, 0.8431247787471974, 0.0), # 150
(12.63959963880524, 9.194273755232066, 11.043279919166057, 11.411846479169196, 10.097458658862696, 4.916972826179219, 4.023775550480226, 3.759402810326029, 5.390319504853488, 2.0451572339457917, 1.6044165932622414, 0.956567851724143, 0.0, 13.49756277846851, 10.522246368965572, 8.022082966311206, 6.135471701837374, 10.780639009706976, 5.263163934456441, 4.023775550480226, 3.5121234472708704, 5.048729329431348, 3.8039488263897328, 2.2086559838332116, 0.8358430686574607, 0.0), # 151
(12.54783981046135, 9.11200028919396, 10.990228319035603, 11.346579132232703, 10.045526213767326, 4.898431040296793, 3.992091780155732, 3.7469721318676275, 5.373272569507184, 2.0317867048446603, 1.5944530489351527, 0.950946081066188, 0.0, 13.426720985952636, 10.460406891728066, 7.9722652446757625, 6.09536011453398, 10.746545139014367, 5.245760984614678, 3.992091780155732, 3.4988793144977093, 5.022763106883663, 3.7821930440775686, 2.198045663807121, 0.8283636626539964, 0.0), # 152
(12.453752672314497, 9.027463606420243, 10.935477759645158, 11.27930317182232, 9.992155844589925, 4.8791940321114815, 3.9594650347095355, 3.7339201043148416, 5.355546319162572, 2.017979819739852, 1.5841553248951779, 0.945145550589342, 0.0, 13.353876869958444, 10.39660105648276, 7.920776624475889, 6.053939459219555, 10.711092638325145, 5.227488146040779, 3.9594650347095355, 3.485138594365344, 4.996077922294963, 3.759767723940774, 2.187095551929032, 0.8206785096745677, 0.0), # 153
(12.357280039121166, 8.940575145226303, 10.878975692561012, 11.209955017211293, 9.937315419323285, 4.859236038044878, 3.9258589369641825, 3.7202157675327485, 5.337114460007395, 2.0037198352757417, 1.5735104883894968, 0.9391601309129768, 0.0, 13.278981960744572, 10.330761440042743, 7.867552441947483, 6.011159505827224, 10.67422892001479, 5.208302074545848, 3.9258589369641825, 3.4708828843177697, 4.968657709661643, 3.736651672403765, 2.1757951385122025, 0.8127795586569367, 0.0), # 154
(12.258363725637818, 8.851246343927524, 10.820669569349436, 11.138471087672855, 9.880972805960209, 4.838531294518574, 3.891237109742209, 3.705828161386424, 5.317950698229401, 1.9889900080967022, 1.562505606665289, 0.9329836926564644, 0.0, 13.201987788569642, 10.262820619221108, 7.812528033326444, 5.966970024290106, 10.635901396458802, 5.188159425940994, 3.891237109742209, 3.456093781798981, 4.940486402980104, 3.712823695890952, 2.1641339138698874, 0.804658758538866, 0.0), # 155
(12.15694554662093, 8.759388640839303, 10.760506841576703, 11.06478780248025, 9.823095872493491, 4.817054037954164, 3.85556317586616, 3.690726325740946, 5.298028740016334, 1.9737735948471096, 1.5511277469697347, 0.9266101064391765, 0.0, 13.122845883692296, 10.19271117083094, 7.755638734848673, 5.921320784541328, 10.596057480032668, 5.167016856037325, 3.85556317586616, 3.440752884252974, 4.911547936246746, 3.688262600826751, 2.1521013683153405, 0.7963080582581185, 0.0), # 156
(12.05296731682698, 8.664913474277022, 10.698434960809092, 10.988841580906726, 9.76365248691593, 4.79477850477324, 3.8188007581585754, 3.6748793004613884, 5.27732229155594, 1.958053852171337, 1.5393639765500133, 0.9200332428804852, 0.0, 13.041507776371162, 10.120365671685335, 7.696819882750066, 5.87416155651401, 10.55464458311188, 5.1448310206459436, 3.8188007581585754, 3.4248417891237426, 4.881826243457965, 3.662947193635576, 2.1396869921618182, 0.7877194067524566, 0.0), # 157
(11.943489514248384, 8.56599791046598, 10.631455938536474, 10.907723497981493, 9.699926512929064, 4.7702895112293024, 3.780085376742286, 3.6571979682329148, 5.254219782186185, 1.9413463665164579, 1.5268255340103847, 0.9130132752259121, 0.0, 12.954377375064553, 10.043146027485031, 7.634127670051924, 5.824039099549372, 10.50843956437237, 5.120077155526081, 3.780085376742286, 3.407349650878073, 4.849963256464532, 3.6359078326604983, 2.126291187707295, 0.7787270827696345, 0.0), # 158
(11.811658827165445, 8.452495802079234, 10.542317091203984, 10.804772590546145, 9.61620406376707, 4.7354436714732975, 3.734570210708573, 3.6314756885095885, 5.21942787265181, 1.9209123976394986, 1.5113111828317318, 0.9041816698244146, 0.0, 12.840684235072311, 9.94599836806856, 7.556555914158659, 5.762737192918495, 10.43885574530362, 5.084065963913424, 3.734570210708573, 3.3824597653380692, 4.808102031883535, 3.6015908635153826, 2.108463418240797, 0.7684087092799304, 0.0), # 159
(11.655795351846896, 8.323475201859713, 10.429227943941186, 10.678293012490633, 9.51084814010325, 4.689385209644506, 3.6817949987070273, 3.5970661263515646, 5.171960121188613, 1.896482260745158, 1.4926025356292107, 0.893400259851713, 0.0, 12.69827297422973, 9.827402858368842, 7.463012678146054, 5.689446782235472, 10.343920242377227, 5.0358925768921905, 3.6817949987070273, 3.3495608640317895, 4.755424070051625, 3.559431004163545, 2.0858455887882372, 0.7566795638054286, 0.0), # 160
(11.477155287337537, 8.179777273184687, 10.293395962547079, 10.529487004508074, 9.38495266590092, 4.632672092132293, 3.622145156805501, 3.5544003554065204, 5.112442542399476, 1.8682632772683756, 1.4708644412265888, 0.8807689958543429, 0.0, 12.528598471710556, 9.68845895439777, 7.354322206132943, 5.6047898318051255, 10.224885084798952, 4.976160497569129, 3.622145156805501, 3.3090514943802094, 4.69247633295046, 3.509829001502692, 2.058679192509416, 0.7436161157440625, 0.0), # 161
(11.27699483268217, 8.022243179431417, 10.136028612820661, 10.359556807291593, 9.239611565123418, 4.565862285326026, 3.5560061010718473, 3.503909449322135, 5.041501150887273, 1.836462768644093, 1.4462617484476323, 0.8663878283788393, 0.0, 12.333115606688533, 9.530266112167231, 7.231308742238162, 5.509388305932278, 10.083002301774545, 4.9054732290509895, 3.5560061010718473, 3.261330203804304, 4.619805782561709, 3.4531856024305316, 2.0272057225641325, 0.7292948344937653, 0.0), # 162
(11.056570186925597, 7.851714083977169, 9.958333360560937, 10.169704661534322, 9.075918761734068, 4.489513755615068, 3.4837632475739206, 3.4460244817460834, 4.959761961254883, 1.8012880563072504, 1.418959306116109, 0.8503567079717379, 0.0, 12.113279258337407, 9.353923787689116, 7.0947965305805445, 5.40386416892175, 9.919523922509766, 4.824434274444517, 3.4837632475739206, 3.2067955397250487, 4.537959380867034, 3.3899015538447745, 1.9916666721121876, 0.71379218945247, 0.0), # 163
(10.817137549112616, 7.669031150199204, 9.761517671566903, 9.961132807929381, 8.894968179696201, 4.404184469388787, 3.405802012379573, 3.3811765263260463, 4.867850988105186, 1.762946461692788, 1.3891219630557858, 0.8327755851795738, 0.0, 11.870544305830926, 9.160531436975312, 6.945609815278928, 5.288839385078362, 9.735701976210372, 4.733647136856465, 3.405802012379573, 3.1458460495634197, 4.447484089848101, 3.320377602643128, 1.9523035343133808, 0.6971846500181095, 0.0), # 164
(10.559953118288028, 7.475035541474793, 9.546789011637559, 9.735043487169904, 8.697853742973145, 4.310432393036548, 3.3225078115566578, 3.3097966567096977, 4.766394246041056, 1.7216453062356458, 1.35691456809043, 0.8137444105488828, 0.0, 11.606365628342832, 8.951188516037709, 6.7845728404521495, 5.164935918706936, 9.532788492082112, 4.633715319393577, 3.3225078115566578, 3.078880280740391, 4.348926871486572, 3.245014495723302, 1.909357802327512, 0.6795486855886177, 0.0), # 165
(10.286273093496636, 7.270568421181199, 9.315354846571905, 9.492638939949002, 8.485669375528229, 4.208815492947715, 3.234266061173029, 3.2323159465447184, 4.656017749665372, 1.6775919113707654, 1.322501970043808, 0.7933631346262003, 0.0, 11.322198105046873, 8.726994480888202, 6.612509850219039, 5.0327757341122945, 9.312035499330744, 4.525242325162606, 3.234266061173029, 3.0062967806769394, 4.242834687764114, 3.1642129799830014, 1.8630709693143812, 0.6609607655619273, 0.0), # 166
(9.997353673783238, 7.056470952695688, 9.06842264216894, 9.235121406959813, 8.259509001324778, 4.099891735511655, 3.14146217729654, 3.1491654694787847, 4.537347513581013, 1.6309935985330861, 1.2860490177396875, 0.7717317079580612, 0.0, 11.019496615116793, 8.489048787538673, 6.430245088698436, 4.892980795599257, 9.074695027162026, 4.408831657270299, 3.14146217729654, 2.928494096794039, 4.129754500662389, 3.0783738023199385, 1.8136845284337881, 0.6414973593359717, 0.0), # 167
(9.694451058192634, 6.833584299395522, 8.807199864227664, 8.963693128895455, 8.020466544326124, 3.9842190871177325, 3.0444815759950434, 3.0607762991595733, 4.411009552390856, 1.5820576891575493, 1.247720560001835, 0.7489500810910016, 0.0, 10.69971603772634, 8.238450892001017, 6.2386028000091756, 4.746173067472647, 8.822019104781711, 4.285086818823403, 3.0444815759950434, 2.8458707765126663, 4.010233272163062, 2.987897709631819, 1.7614399728455332, 0.6212349363086839, 0.0), # 168
(9.378821445769624, 6.602749624657969, 8.53289397854708, 8.67955634644906, 7.769635928495594, 3.8623555141553156, 2.9437096733363934, 2.9675795092347634, 4.277629880697781, 1.5309915046790952, 1.2076814456540184, 0.7251182045715564, 0.0, 10.364311252049257, 7.976300250287119, 6.038407228270092, 4.592974514037284, 8.555259761395561, 4.154611312928669, 2.9437096733363934, 2.7588253672537966, 3.884817964247797, 2.8931854488163538, 1.706578795709416, 0.6002499658779973, 0.0), # 169
(9.051721035559014, 6.3648080918602945, 8.24671245092618, 8.383913300313743, 7.508111077796515, 3.7348589830137664, 2.8395318853884426, 2.870006173352032, 4.137834513104661, 1.4780023665326634, 1.1660965235200045, 0.7003360289462612, 0.0, 10.014737137259289, 7.7036963184088725, 5.830482617600023, 4.43400709959799, 8.275669026209322, 4.018008642692845, 2.8395318853884426, 2.6677564164384044, 3.7540555388982577, 2.7946377667712485, 1.649342490185236, 0.5786189174418451, 0.0), # 170
(8.7144060266056, 6.12060086437976, 7.949862747163971, 8.077966231182643, 7.23698591619222, 3.602287460082452, 2.7323336282190445, 2.7684873651590554, 3.992249464214377, 1.4232975961531957, 1.1231306424235596, 0.6747035047616515, 0.0, 9.652448572530185, 7.421738552378166, 5.615653212117798, 4.269892788459586, 7.984498928428754, 3.8758823112226777, 2.7323336282190445, 2.5730624714874657, 3.61849295809611, 2.692655410394215, 1.5899725494327943, 0.5564182603981601, 0.0), # 171
(8.368132617954185, 5.870969105593635, 7.643552333059449, 7.762917379748876, 6.9573543676460305, 3.4651989117507385, 2.6225003178960526, 2.663454158303514, 3.8415007486298056, 1.3670845149756323, 1.0789486511884518, 0.648320582564263, 0.0, 9.278900437035686, 7.1315264082068905, 5.3947432559422595, 4.101253544926896, 7.683001497259611, 3.7288358216249198, 2.6225003178960526, 2.475142079821956, 3.4786771838230153, 2.587639126582959, 1.52871046661189, 0.5337244641448761, 0.0), # 172
(8.014157008649567, 5.616753978879182, 7.328988674411616, 7.439968986705571, 6.6703103561212815, 3.3241513044079904, 2.51041737048732, 2.5553376264330825, 3.6862143809538255, 1.309570444434913, 1.0337153986384477, 0.62128721290063, 0.0, 8.89554760994954, 6.83415934190693, 5.168576993192238, 3.9287113333047383, 7.372428761907651, 3.5774726770063157, 2.51041737048732, 2.37439378886285, 3.3351551780606408, 2.479989662235191, 1.4657977348823235, 0.5106139980799257, 0.0), # 173
(7.6537353977365505, 5.358796647613667, 7.00737923701947, 7.110323292745849, 6.376947805581297, 3.179702604443573, 2.3964702020607005, 2.4445688431954404, 3.527016375789314, 1.250962705965979, 0.9875957335973142, 0.5937033463172892, 0.0, 8.503844970445494, 6.53073680949018, 4.93797866798657, 3.7528881178979363, 7.054032751578628, 3.4223963804736166, 2.3964702020607005, 2.2712161460311235, 3.1884739027906486, 2.370107764248617, 1.401475847403894, 0.4871633316012425, 0.0), # 174
(7.288123984259929, 5.097938275174352, 6.679931486682011, 6.7751825385628415, 6.078360639989406, 3.0324107782468537, 2.2810442286840464, 2.331578882238264, 3.36453274773915, 1.19146862100377, 0.9407545048888186, 0.5656689333607753, 0.0, 8.105247397697292, 6.222358266968527, 4.703772524444093, 3.574405863011309, 6.7290654954783, 3.26421043513357, 2.2810442286840464, 2.1660076987477526, 3.039180319994703, 2.2583941795209475, 1.3359862973364023, 0.46344893410675936, 0.0), # 175
(6.91857896726451, 4.835020024938507, 6.347852889198238, 6.435748964849671, 5.775642783308939, 2.882833792207196, 2.164524866425212, 2.216798817209233, 3.199389511406209, 1.131295510983227, 0.8933565613367281, 0.537283924577624, 0.0, 7.701209770878679, 5.910123170353863, 4.46678280668364, 3.39388653294968, 6.398779022812418, 3.103518344092926, 2.164524866425212, 2.0591669944337117, 2.8878213916544695, 2.1452496549498905, 1.2695705778396478, 0.4395472749944098, 0.0), # 176
(6.546356545795092, 4.570883060283395, 6.012350910367152, 6.093224812299459, 5.469888159503225, 2.731529612713966, 2.0472975313520503, 2.100659721756022, 3.0322126813933705, 1.07065069733929, 0.8455667517648098, 0.5086482705143706, 0.0, 7.2931869691634, 5.595130975658075, 4.227833758824048, 3.211952092017869, 6.064425362786741, 2.9409236104584306, 2.0472975313520503, 1.9510925805099755, 2.7349440797516125, 2.0310749374331536, 1.2024701820734305, 0.4155348236621269, 0.0), # 177
(6.172712918896475, 4.306368544586282, 5.6746330159877525, 5.74881232160534, 5.162190692535588, 2.5790562061565305, 1.929747639532414, 1.9835926695263104, 2.863628272303512, 1.0097415015069002, 0.7975499249968301, 0.4798619217175504, 0.0, 6.882633871725203, 5.278481138893053, 3.98774962498415, 3.0292245045207, 5.727256544607024, 2.7770297373368344, 1.929747639532414, 1.8421830043975218, 2.581095346267794, 1.916270773868447, 1.1349266031975505, 0.3914880495078438, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 162
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 163
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 164
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 165
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 166
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 167
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
28, # 1
)
| 0 | 0 | 0 |
6a1661feb3eadbed22acb7a1f2831cbf3dc0a31f | 6,002 | py | Python | tests/test_ghdl_testsuite.py | lionheart117/hdlConvertor | 935941471fbb592942776d2c46af2be0b14b9b06 | [
"MIT"
] | 1 | 2022-02-17T23:32:46.000Z | 2022-02-17T23:32:46.000Z | tests/test_ghdl_testsuite.py | curiousTauseef/hdlConvertor | 5041c2cca2d14f47237dc4e91fd3228a88bd01df | [
"MIT"
] | null | null | null | tests/test_ghdl_testsuite.py | curiousTauseef/hdlConvertor | 5041c2cca2d14f47237dc4e91fd3228a88bd01df | [
"MIT"
] | null | null | null | # import sys
import os
import sys
import unittest
from hdlConvertorAst.language import Language
from tests.extern_test_utils import generate_external_testcase_class, \
ExternTestSpec, check_git_submodule
from tests.file_utils import find_files
from tests.time_logging_test_runner import TimeLoggingTestRunner
if sys.version_info.major == 2:
FileNotFoundError = IOError
from io import open
GHDL_ROOT = os.path.join(os.path.dirname(__file__), "ghdl")
# use this file to run tests in incremental maner,
# the test which passed in previous build will not be executed again
# SUCESSFULL_TEST_FILTER_FILE = "tests_passed.vunit"
SUCESSFULL_TEST_FILTER_FILE = None
GhdlTestsuiteTestsuiteTC = generate_external_testcase_class(
'GhdlTestsuiteTestsuiteTC',
get_ghdl_test_configs("testsuite"),
SUCESSFULL_TEST_FILTER_FILE)
GHDL_LIBS = [
"ieee", "openieee", "std", "vendors", "vital95",
"ieee2008", "mentor", "synopsys", "vital2000",
]
GhdlTestsuiteTCs = [
generate_external_testcase_class(
'Ghdl_%s_TestsuiteTC' % lib,
get_ghdl_test_configs("libraries/" + lib),
SUCESSFULL_TEST_FILTER_FILE)
for lib in GHDL_LIBS
] + [
GhdlTestsuiteTestsuiteTC
]
if __name__ == '__main__':
# unittest.main(failfast=True)
suite = unittest.TestSuite()
# suite.addTest(GhdlIEEETestsuiteTC('test_VHDL_2008_numeric_bit'))
for tc in GhdlTestsuiteTCs:
suite.addTest(unittest.makeSuite(tc))
# suite.addTest(unittest.makeSuite(GhdlTestsuiteTestsuiteTC))
runner = TimeLoggingTestRunner(verbosity=3)
runner.run(suite)
| 40.281879 | 100 | 0.623292 | # import sys
import os
import sys
import unittest
from hdlConvertorAst.language import Language
from tests.extern_test_utils import generate_external_testcase_class, \
ExternTestSpec, check_git_submodule
from tests.file_utils import find_files
from tests.time_logging_test_runner import TimeLoggingTestRunner
if sys.version_info.major == 2:
FileNotFoundError = IOError
from io import open
GHDL_ROOT = os.path.join(os.path.dirname(__file__), "ghdl")
# use this file to run tests in incremental maner,
# the test which passed in previous build will not be executed again
# SUCESSFULL_TEST_FILTER_FILE = "tests_passed.vunit"
SUCESSFULL_TEST_FILTER_FILE = None
def get_ghdl_test_configs(path):
check_git_submodule(GHDL_ROOT)
for vhdl_file in find_files(os.path.join(GHDL_ROOT, *path.split("/")), "*.vhdl"):
should_fail = False
testsuite_sh = os.path.join(os.path.dirname(vhdl_file), "testsuite.sh")
try:
with open(testsuite_sh) as f:
t = f.read()
if "--expect-failure" in t or "analyze_failure " + os.path.basename(vhdl_file) in t:
should_fail = True
except FileNotFoundError:
pass
# because of windows
_vhdl_file = vhdl_file.replace("\\", "/")
if _vhdl_file.endswith("issue300/test_bench.vhdl") or \
_vhdl_file.endswith("synth48/test.vhdl") or \
_vhdl_file.endswith("issue626/repro.vhdl") or \
_vhdl_file.endswith("issue626/top.vhdl") or \
_vhdl_file.endswith("issue634/top.vhdl") or \
_vhdl_file.endswith("issue983/test.vhdl") or \
_vhdl_file.endswith("issue1367/issue.vhdl") or \
_vhdl_file.endswith("issue1345/issue.vhdl") or \
_vhdl_file.endswith("issue1322/issue.vhdl") or \
_vhdl_file.endswith("issue1321/issue.vhdl") or \
_vhdl_file.endswith("issue1314/issue.vhdl") or \
_vhdl_file.endswith("issue1347/issue.vhdl") or \
_vhdl_file.endswith("synth27/dff.vhdl") or \
_vhdl_file.endswith("issue1295/issue.vhdl") or \
_vhdl_file.endswith("issue1292/issue.vhdl") or \
_vhdl_file.endswith("issue1288/issue.vhdl"):
# keyword as architecture name
should_fail = True
elif "testsuite/gna/bug030" in _vhdl_file:
# keyword as signal name
should_fail = True
elif "testsuite/synth/psl" in _vhdl_file or _vhdl_file.endswith("issue1390/aes_enc.vhdl"):
# PSL default clock
should_fail = True
elif _vhdl_file.endswith("issue662/psl_stable.vhdl") or\
_vhdl_file.endswith("issue662/psl_rose.vhdl") or \
_vhdl_file.endswith("issue662/psl_prev.vhdl") or \
_vhdl_file.endswith("issue1292/psl_next_event_e.vhdl") or \
_vhdl_file.endswith("issue1295/psl_next_event_a.vhdl") or \
_vhdl_file.endswith("issue662/psl_fell.vhdl") or \
_vhdl_file.endswith("bug051/tb2.vhdl"):
# PSL
should_fail = True
elif _vhdl_file.endswith("gna/bug096/reader.vhdl"):
# error in file spec, in ghdl it is just discovered after
should_fail = True
elif "gna/bug090/" in _vhdl_file or "gna/bug0100/" in _vhdl_file:
# error, but it is described in testsuite.sh in format which can not be parsed
should_fail = True
elif _vhdl_file.endswith("gna/issue106/ent3.vhdl"):
# missing case when value
should_fail = True
elif _vhdl_file.endswith("gna/issue520/lrm.vhdl"):
# missing ; after last item in block stm
should_fail = True
elif _vhdl_file.endswith("bug0105/econcat2_87.vhdl") or \
_vhdl_file.endswith("bug0105/econcat2.vhdl") or \
_vhdl_file.endswith("bug0105/econcat1_87.vhdl") or \
_vhdl_file.endswith("bug0105/econcat1.vhdl") or \
_vhdl_file.endswith("std/textio-body.vhdl"):
# std87 obscure relicts
should_fail = True
elif _vhdl_file.endswith("bug031/ams1.vhdl") or \
_vhdl_file.endswith("004all08/ams08.vhdl"):
# AMS extension
should_fail = True
elif _vhdl_file.endswith("issue106/ent2.vhdl"):
# block in generate has to have label
should_fail = True
lang = Language.VHDL_2008
defs = {}
inc_dirs = []
if "utf8" in vhdl_file:
encoding = "utf-8"
elif "utf16" in vhdl_file:
encoding = "utf-16"
else:
encoding = "iso-8859-1"
with open(vhdl_file, encoding=encoding) as f:
d = f.read()
if d.startswith("vunit"):
continue
yield ExternTestSpec(vhdl_file, lang, defs, inc_dirs, should_fail, encoding=encoding)
GhdlTestsuiteTestsuiteTC = generate_external_testcase_class(
'GhdlTestsuiteTestsuiteTC',
get_ghdl_test_configs("testsuite"),
SUCESSFULL_TEST_FILTER_FILE)
GHDL_LIBS = [
"ieee", "openieee", "std", "vendors", "vital95",
"ieee2008", "mentor", "synopsys", "vital2000",
]
GhdlTestsuiteTCs = [
generate_external_testcase_class(
'Ghdl_%s_TestsuiteTC' % lib,
get_ghdl_test_configs("libraries/" + lib),
SUCESSFULL_TEST_FILTER_FILE)
for lib in GHDL_LIBS
] + [
GhdlTestsuiteTestsuiteTC
]
if __name__ == '__main__':
# unittest.main(failfast=True)
suite = unittest.TestSuite()
# suite.addTest(GhdlIEEETestsuiteTC('test_VHDL_2008_numeric_bit'))
for tc in GhdlTestsuiteTCs:
suite.addTest(unittest.makeSuite(tc))
# suite.addTest(unittest.makeSuite(GhdlTestsuiteTestsuiteTC))
runner = TimeLoggingTestRunner(verbosity=3)
runner.run(suite)
| 4,356 | 0 | 23 |
57081792105256d9dd6d7742e02c6fbe86c8f49f | 601 | py | Python | python-questions-for-pratices/Question-88.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | python-questions-for-pratices/Question-88.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | python-questions-for-pratices/Question-88.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | """
Question 88 :
With a given list [12, 24,35, 24, 88,120, 155, 88, 120, 155],
write a program to print this list after removing all duplicate values
with original order reserved.
Hints : Use set() to store a number of values without duplicate.
"""
# Solution :
li = [12, 24,35, 24, 88,120, 155, 88, 120, 155]
print(remove_duplicate(li))
"""
Output :
[12, 24, 35, 88, 120, 155]
""" | 20.033333 | 74 | 0.603993 | """
Question 88 :
With a given list [12, 24,35, 24, 88,120, 155, 88, 120, 155],
write a program to print this list after removing all duplicate values
with original order reserved.
Hints : Use set() to store a number of values without duplicate.
"""
# Solution :
def remove_duplicate(li):
new_list = []
set_list = set()
for i in li:
if i not in set_list:
set_list.add(i)
new_list.append(i)
return new_list
li = [12, 24,35, 24, 88,120, 155, 88, 120, 155]
print(remove_duplicate(li))
"""
Output :
[12, 24, 35, 88, 120, 155]
""" | 171 | 0 | 23 |
a69b107084d776967e5e8d71a7570a2c2abdcf48 | 5,591 | py | Python | src/schnetpack/datasets/omdb.py | sxie22/schnetpack | a421e7c121c7bdb2838fb30f887812110ecfa3c6 | [
"MIT"
] | null | null | null | src/schnetpack/datasets/omdb.py | sxie22/schnetpack | a421e7c121c7bdb2838fb30f887812110ecfa3c6 | [
"MIT"
] | null | null | null | src/schnetpack/datasets/omdb.py | sxie22/schnetpack | a421e7c121c7bdb2838fb30f887812110ecfa3c6 | [
"MIT"
] | 1 | 2022-02-10T17:39:11.000Z | 2022-02-10T17:39:11.000Z | import logging
import os
import tarfile
from typing import List, Optional, Dict
from ase.io import read
import numpy as np
import torch
from schnetpack.data import *
from schnetpack.data import AtomsDataModuleError, AtomsDataModule
__all__ = ["OrganicMaterialsDatabase"]
class OrganicMaterialsDatabase(AtomsDataModule):
"""
Organic Materials Database (OMDB) of bulk organic crystals.
Registration to the OMDB is free for academic users. This database contains DFT
(PBE) band gap (OMDB-GAP1 database) for 12500 non-magnetic materials.
References:
.. [#omdb] Bart Olsthoorn, R. Matthias Geilhufe, Stanislav S. Borysov, Alexander V. Balatsky.
Band gap prediction for large organic crystal structures with machine learning.
https://arxiv.org/abs/1810.12814
"""
BandGap = "band_gap"
def __init__(
self,
datapath: str,
batch_size: int,
num_train: Optional[int] = None,
num_val: Optional[int] = None,
num_test: Optional[int] = None,
split_file: Optional[str] = "split.npz",
format: Optional[AtomsDataFormat] = AtomsDataFormat.ASE,
load_properties: Optional[List[str]] = None,
val_batch_size: Optional[int] = None,
test_batch_size: Optional[int] = None,
transforms: Optional[List[torch.nn.Module]] = None,
train_transforms: Optional[List[torch.nn.Module]] = None,
val_transforms: Optional[List[torch.nn.Module]] = None,
test_transforms: Optional[List[torch.nn.Module]] = None,
num_workers: int = 2,
num_val_workers: Optional[int] = None,
num_test_workers: Optional[int] = None,
property_units: Optional[Dict[str, str]] = None,
distance_unit: Optional[str] = None,
raw_path: Optional[str] = None,
**kwargs
):
"""
Args:
datapath: path to dataset
batch_size: (train) batch size
num_train: number of training examples
num_val: number of validation examples
num_test: number of test examples
split_file: path to npz file with data partitions
format: dataset format
load_properties: subset of properties to load
val_batch_size: validation batch size. If None, use test_batch_size, then batch_size.
test_batch_size: test batch size. If None, use val_batch_size, then batch_size.
transforms: Transform applied to each system separately before batching.
train_transforms: Overrides transform_fn for training.
val_transforms: Overrides transform_fn for validation.
test_transforms: Overrides transform_fn for testing.
num_workers: Number of data loader workers.
num_val_workers: Number of validation data loader workers (overrides num_workers).
num_test_workers: Number of test data loader workers (overrides num_workers).
property_units: Dictionary from property to corresponding unit as a string (eV, kcal/mol, ...).
distance_unit: Unit of the atom positions and cell as a string (Ang, Bohr, ...).
raw_path: path to raw tar.gz file with the data
"""
super().__init__(
datapath=datapath,
batch_size=batch_size,
num_train=num_train,
num_val=num_val,
num_test=num_test,
split_file=split_file,
format=format,
load_properties=load_properties,
val_batch_size=val_batch_size,
test_batch_size=test_batch_size,
transforms=transforms,
train_transforms=train_transforms,
val_transforms=val_transforms,
test_transforms=test_transforms,
num_workers=num_workers,
num_val_workers=num_val_workers,
num_test_workers=num_test_workers,
property_units=property_units,
distance_unit=distance_unit,
**kwargs
)
self.raw_path = raw_path
def _convert(self, dataset):
"""
Converts .tar.gz to a .db file
"""
if self.raw_path is None or not os.path.exists(self.raw_path):
# TODO: can we download here automatically like QM9?
raise AtomsDataModuleError(
"The path to the raw dataset is not provided or invalid and the db-file does "
"not exist!"
)
logging.info("Converting %s to a .db file.." % self.raw_path)
tar = tarfile.open(self.raw_path, "r:gz")
names = tar.getnames()
tar.extractall()
tar.close()
structures = read("structures.xyz", index=":")
Y = np.loadtxt("bandgaps.csv")
[os.remove(name) for name in names]
atoms_list = []
property_list = []
for i, at in enumerate(structures):
atoms_list.append(at)
property_list.append({OrganicMaterialsDatabase.BandGap: Y[i]})
dataset.add_systems(atoms_list=atoms_list, property_list=property_list)
| 38.826389 | 107 | 0.630478 | import logging
import os
import tarfile
from typing import List, Optional, Dict
from ase.io import read
import numpy as np
import torch
from schnetpack.data import *
from schnetpack.data import AtomsDataModuleError, AtomsDataModule
__all__ = ["OrganicMaterialsDatabase"]
class OrganicMaterialsDatabase(AtomsDataModule):
"""
Organic Materials Database (OMDB) of bulk organic crystals.
Registration to the OMDB is free for academic users. This database contains DFT
(PBE) band gap (OMDB-GAP1 database) for 12500 non-magnetic materials.
References:
.. [#omdb] Bart Olsthoorn, R. Matthias Geilhufe, Stanislav S. Borysov, Alexander V. Balatsky.
Band gap prediction for large organic crystal structures with machine learning.
https://arxiv.org/abs/1810.12814
"""
BandGap = "band_gap"
def __init__(
self,
datapath: str,
batch_size: int,
num_train: Optional[int] = None,
num_val: Optional[int] = None,
num_test: Optional[int] = None,
split_file: Optional[str] = "split.npz",
format: Optional[AtomsDataFormat] = AtomsDataFormat.ASE,
load_properties: Optional[List[str]] = None,
val_batch_size: Optional[int] = None,
test_batch_size: Optional[int] = None,
transforms: Optional[List[torch.nn.Module]] = None,
train_transforms: Optional[List[torch.nn.Module]] = None,
val_transforms: Optional[List[torch.nn.Module]] = None,
test_transforms: Optional[List[torch.nn.Module]] = None,
num_workers: int = 2,
num_val_workers: Optional[int] = None,
num_test_workers: Optional[int] = None,
property_units: Optional[Dict[str, str]] = None,
distance_unit: Optional[str] = None,
raw_path: Optional[str] = None,
**kwargs
):
"""
Args:
datapath: path to dataset
batch_size: (train) batch size
num_train: number of training examples
num_val: number of validation examples
num_test: number of test examples
split_file: path to npz file with data partitions
format: dataset format
load_properties: subset of properties to load
val_batch_size: validation batch size. If None, use test_batch_size, then batch_size.
test_batch_size: test batch size. If None, use val_batch_size, then batch_size.
transforms: Transform applied to each system separately before batching.
train_transforms: Overrides transform_fn for training.
val_transforms: Overrides transform_fn for validation.
test_transforms: Overrides transform_fn for testing.
num_workers: Number of data loader workers.
num_val_workers: Number of validation data loader workers (overrides num_workers).
num_test_workers: Number of test data loader workers (overrides num_workers).
property_units: Dictionary from property to corresponding unit as a string (eV, kcal/mol, ...).
distance_unit: Unit of the atom positions and cell as a string (Ang, Bohr, ...).
raw_path: path to raw tar.gz file with the data
"""
super().__init__(
datapath=datapath,
batch_size=batch_size,
num_train=num_train,
num_val=num_val,
num_test=num_test,
split_file=split_file,
format=format,
load_properties=load_properties,
val_batch_size=val_batch_size,
test_batch_size=test_batch_size,
transforms=transforms,
train_transforms=train_transforms,
val_transforms=val_transforms,
test_transforms=test_transforms,
num_workers=num_workers,
num_val_workers=num_val_workers,
num_test_workers=num_test_workers,
property_units=property_units,
distance_unit=distance_unit,
**kwargs
)
self.raw_path = raw_path
def prepare_data(self):
if not os.path.exists(self.datapath):
property_unit_dict = {OrganicMaterialsDatabase.BandGap: "eV"}
dataset = create_dataset(
datapath=self.datapath,
format=self.format,
distance_unit="Ang",
property_unit_dict=property_unit_dict,
)
self._convert(dataset)
else:
dataset = load_dataset(self.datapath, self.format)
def _convert(self, dataset):
"""
Converts .tar.gz to a .db file
"""
if self.raw_path is None or not os.path.exists(self.raw_path):
# TODO: can we download here automatically like QM9?
raise AtomsDataModuleError(
"The path to the raw dataset is not provided or invalid and the db-file does "
"not exist!"
)
logging.info("Converting %s to a .db file.." % self.raw_path)
tar = tarfile.open(self.raw_path, "r:gz")
names = tar.getnames()
tar.extractall()
tar.close()
structures = read("structures.xyz", index=":")
Y = np.loadtxt("bandgaps.csv")
[os.remove(name) for name in names]
atoms_list = []
property_list = []
for i, at in enumerate(structures):
atoms_list.append(at)
property_list.append({OrganicMaterialsDatabase.BandGap: Y[i]})
dataset.add_systems(atoms_list=atoms_list, property_list=property_list)
| 456 | 0 | 27 |
bb22e5b12a23cf9898a8b386b4ed12add15908fc | 4,879 | py | Python | km3pipe/cmd.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | 2 | 2017-01-19T17:22:49.000Z | 2020-04-18T14:00:38.000Z | km3pipe/cmd.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | null | null | null | km3pipe/cmd.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | null | null | null | # coding=utf-8
# Filename: cmd.py
"""
KM3Pipe command line utility.
Usage:
km3pipe test
km3pipe update [GIT_BRANCH]
km3pipe detx DET_ID [-m] [-t T0_SET] [-c CALIBR_ID]
km3pipe runtable [-n RUNS] [-s REGEX] [--temporary] DET_ID
km3pipe runinfo [--temporary] DET_ID RUN
km3pipe retrieve DET_ID RUN
km3pipe (-h | --help)
km3pipe --version
Options:
-h --help Show this screen.
-m Get the MC detector file (flips the sign of DET_ID).
-c CALIBR_ID Geometrical calibration ID (eg. A01466417)
-t T0_SET Time calibration ID (eg. A01466431)
-n EVENTS/RUNS Number of events/runs.
-s REGEX Regular expression to filter the runsetup name/id.
--temporary Do not request a permanent session, but a temporary one. [default=False]
DET_ID Detector ID (eg. D_ARCA001).
GIT_BRANCH Git branch to pull (eg. develop).
RUN Run number.
"""
from __future__ import division, absolute_import, print_function
import sys
import os
from datetime import datetime
from km3pipe import version
from km3pipe.tools import irods_filepath
from km3pipe.db import DBManager
from km3modules import StatusBar
from km3pipe.hardware import Detector
__author__ = "Tamas Gal"
__copyright__ = "Copyright 2016, Tamas Gal and the KM3NeT collaboration."
__credits__ = []
__license__ = "MIT"
__maintainer__ = "Tamas Gal and Moritz Lotze"
__email__ = "tgal@km3net.de"
__status__ = "Development"
def runtable(det_id, n=5, sep='\t', regex=None, temporary=False):
"""Print the run table of the last `n` runs for given detector"""
db = DBManager(temporary=temporary)
df = db.run_table(det_id)
if regex is not None:
df = df[df['RUNSETUPNAME'].str.match(regex) |
df['RUNSETUPID'].str.match(regex)]
if n is not None:
df = df.tail(n)
df.to_csv(sys.stdout, sep=sep)
def retrieve(run_id, det_id):
"""Retrieve run from iRODS for a given detector (O)ID"""
try:
det_id = int(det_id)
except ValueError:
pass
path = irods_filepath(det_id, int(run_id))
os.system("iget -Pv {0}".format(path))
| 30.685535 | 96 | 0.589465 | # coding=utf-8
# Filename: cmd.py
"""
KM3Pipe command line utility.
Usage:
km3pipe test
km3pipe update [GIT_BRANCH]
km3pipe detx DET_ID [-m] [-t T0_SET] [-c CALIBR_ID]
km3pipe runtable [-n RUNS] [-s REGEX] [--temporary] DET_ID
km3pipe runinfo [--temporary] DET_ID RUN
km3pipe retrieve DET_ID RUN
km3pipe (-h | --help)
km3pipe --version
Options:
-h --help Show this screen.
-m Get the MC detector file (flips the sign of DET_ID).
-c CALIBR_ID Geometrical calibration ID (eg. A01466417)
-t T0_SET Time calibration ID (eg. A01466431)
-n EVENTS/RUNS Number of events/runs.
-s REGEX Regular expression to filter the runsetup name/id.
--temporary Do not request a permanent session, but a temporary one. [default=False]
DET_ID Detector ID (eg. D_ARCA001).
GIT_BRANCH Git branch to pull (eg. develop).
RUN Run number.
"""
from __future__ import division, absolute_import, print_function
import sys
import os
from datetime import datetime
from km3pipe import version
from km3pipe.tools import irods_filepath
from km3pipe.db import DBManager
from km3modules import StatusBar
from km3pipe.hardware import Detector
__author__ = "Tamas Gal"
__copyright__ = "Copyright 2016, Tamas Gal and the KM3NeT collaboration."
__credits__ = []
__license__ = "MIT"
__maintainer__ = "Tamas Gal and Moritz Lotze"
__email__ = "tgal@km3net.de"
__status__ = "Development"
def run_tests():
import pytest
import km3pipe
pytest.main([os.path.dirname(km3pipe.__file__)])
def runtable(det_id, n=5, sep='\t', regex=None, temporary=False):
"""Print the run table of the last `n` runs for given detector"""
db = DBManager(temporary=temporary)
df = db.run_table(det_id)
if regex is not None:
df = df[df['RUNSETUPNAME'].str.match(regex) |
df['RUNSETUPID'].str.match(regex)]
if n is not None:
df = df.tail(n)
df.to_csv(sys.stdout, sep=sep)
def runinfo(run_id, det_id, temporary=False):
db = DBManager(temporary=temporary)
df = db.run_table(det_id)
row = df[df['RUN'] == int(run_id)]
if len(row) == 0:
print("No database entry for run {0} found.".format(run_id))
return
next_row = df[df['RUN'] == (int(run_id) + 1)]
if len(next_row) != 0:
end_time = next_row['DATETIME'].values[0]
duration = (next_row['UNIXSTARTTIME'].values[0] -
row['UNIXSTARTTIME'].values[0]) / 1000 / 60
else:
end_time = duration = float('NaN')
print("Run {0} - detector ID: {1}".format(run_id, det_id))
print('-' * 42)
print(" Start time: {0}\n"
" End time: {1}\n"
" Duration [min]: {2:.2f}\n"
" Start time defined: {3}\n"
" Runsetup ID: {4}\n"
" Runsetup name: {5}\n"
" T0 Calibration ID: {6}\n"
.format(row['DATETIME'].values[0],
end_time,
duration,
bool(row['STARTTIME_DEFINED'].values[0]),
row['RUNSETUPID'].values[0],
row['RUNSETUPNAME'].values[0],
row['T0_CALIBSETID'].values[0]))
def update_km3pipe(git_branch=''):
if git_branch == '' or git_branch is None:
git_branch = 'master'
os.system("pip install -U git+http://git.km3net.de/tgal/km3pipe.git@{0}"
.format(git_branch))
def retrieve(run_id, det_id):
"""Retrieve run from iRODS for a given detector (O)ID"""
try:
det_id = int(det_id)
except ValueError:
pass
path = irods_filepath(det_id, int(run_id))
os.system("iget -Pv {0}".format(path))
def detx(det_id, calibration='', t0set=''):
now = datetime.now()
filename = "KM3NeT_{0}{1:08d}_{2}.detx" \
.format('-' if det_id < 0 else '', abs(det_id),
now.strftime("%d%m%Y"))
det = Detector(det_id=det_id, t0set=t0set, calibration=calibration)
if det.n_doms > 0:
det.write(filename)
def main():
from docopt import docopt
args = docopt(__doc__, version=version)
try:
n = int(args['-n'])
except TypeError:
n = None
if args['test']:
run_tests()
if args['update']:
update_km3pipe(args['GIT_BRANCH'])
if args['runtable']:
runtable(args['DET_ID'], n, regex=args['-s'], temporary=args["--temporary"])
if args['runinfo']:
runinfo(args['RUN'], args['DET_ID'], temporary=args["--temporary"])
if args['retrieve']:
retrieve(args['RUN'], args['DET_ID'])
if args['detx']:
t0set = args['-t']
calibration = args['-c']
det_id = int(('-' if args['-m'] else '') + args['DET_ID'])
detx(det_id, calibration, t0set)
| 2,553 | 0 | 115 |
5fc233a9c384203a775a4a15b2f31cc660ce4031 | 11,803 | py | Python | parse_config.py | jdeuschel/DistrShiftsOnFacialData | 577c89ca0f9a31be0031f90990f0efe7548550f7 | [
"Apache-2.0"
] | null | null | null | parse_config.py | jdeuschel/DistrShiftsOnFacialData | 577c89ca0f9a31be0031f90990f0efe7548550f7 | [
"Apache-2.0"
] | null | null | null | parse_config.py | jdeuschel/DistrShiftsOnFacialData | 577c89ca0f9a31be0031f90990f0efe7548550f7 | [
"Apache-2.0"
] | null | null | null | import os
import logging
from pathlib import Path
from functools import reduce, partial
from operator import getitem
from datetime import datetime
# from logger import setup_logging
from utils import read_yml, write_yml
import collections
import json
# helper functions to update config dict with custom cli options
def _set_by_path(tree, keys, value):
"""Set a value in a nested object in tree by sequence of keys."""
keys = keys.split(";")
_get_by_path(tree, keys[:-1])[keys[-1]] = value
def _get_by_path(tree, keys):
"""Access a nested object in tree by sequence of keys."""
return reduce(getitem, keys, tree)
| 45.222222 | 142 | 0.61908 | import os
import logging
from pathlib import Path
from functools import reduce, partial
from operator import getitem
from datetime import datetime
# from logger import setup_logging
from utils import read_yml, write_yml
import collections
import json
class Singleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._instances:
cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
return cls._instances[cls]
def str2bool(v):
if v is None:
return None
if isinstance(v, bool):
return v
if v.lower() in ("yes", "true", "True", "t", "y", "1"):
return True
elif v.lower() in ("no", "false", "False", "f", "n", "0"):
return False
class ConfigParser(metaclass=Singleton):
def __init__(self, config, resume=None, modification=None, run_id=None):
"""
class to parse configuration json file. Handles hyperparameters for training, initializations of modules, checkpoint saving
and logging module.
:param config: Dict containing configurations, hyperparameters for training. contents of `config.json` file for example.
:param resume: String, path to the checkpoint being loaded.
:param modification: Dict keychain:value, specifying position values to be replaced from config dict.
:param run_id: Unique Identifier for training processes. Used to save checkpoints and training log. Timestamp is being used as default
"""
# load config file and apply modification
self._config = _update_config(config, modification)
self.resume = resume
# set save_dir where trained model and log will be saved.
save_dir = Path(self.config["trainer"]["save_dir"])
exper_name = self.config["name"]
if run_id is None: # use timestamp as default run-id
run_id = datetime.now().strftime(r"%m%d_%H%M%S")
self._save_dir = save_dir / "models" / exper_name / run_id
self._log_dir = save_dir / "log" / exper_name / run_id
# make directory for saving checkpoints and log.
exist_ok = run_id == ""
self.save_dir.mkdir(parents=True, exist_ok=exist_ok)
self.log_dir.mkdir(parents=True, exist_ok=exist_ok)
# save updated config file to the checkpoint dir
write_yml(self.config, self.save_dir / "config.yml")
# configure logging module
self.log_levels = {0: logging.WARNING, 1: logging.INFO, 2: logging.DEBUG}
os.environ["MODE"] = "TRAINING"
os.environ["MODEL_LOCATION"] = "saved/resnet_pretrained" # todo: change location where to store imagenet pretrained model
if self.config["augmentation"]["mixup"]:
self.config["loss"] = "mixup"
# Prepare Environment variables for cluster if TF Jobs is used
if "TF_CONFIG" in os.environ and "HOSTNAME" in os.environ:
print("TF_CONFIG is used")
tf_config = os.environ["TF_CONFIG"]
tf_config_parsed = json.loads(tf_config)
try:
os.environ["MASTER_ADDR"] = tf_config_parsed["cluster"]["ps"][0].split(".")[0]
except:
print("MASTER_ADDR not found")
os.environ["MASTER_PORT"] = "2225"
# os.environ["LOCAL_RANK"] = "0"
if "ps" in tf_config_parsed["cluster"] and tf_config_parsed["task"]["type"] == "worker":
os.environ["NODE_RANK"] = str(tf_config_parsed["task"]["index"] + 1)
# os.environ["LOCAL_RANK"] = "0" # str(tf_config_parsed["task"]["index"] + 1)
# os.environ["RANK"] = str(tf_config_parsed["task"]["index"] + 1)
else:
os.environ["NODE_RANK"] = "0"
# os.environ["LOCAL_RANK"] = "0"
# os.environ["RANK"] = "0"
try:
if os.environ["RANK"]:
os.environ["NODE_RANK"] = os.environ["RANK"]
del os.environ["RANK"]
del os.environ["WORLD_SIZE"]
except:
print("nothing found")
# os.environ["MASTER_PORT"] = "2225"
@classmethod
def from_args(cls, args, options=""):
"""
Initialize this class from some cli arguments. Used in train, test.
"""
CustomArgs = collections.namedtuple("CustomArgs", "flags type target")
options_standard = [
CustomArgs(["-lr", "--learning_rate"], type=float, target="optimizer;args;lr"),
CustomArgs(["-bs", "--batch_size"], type=int, target="data_loader;args;batch_size"),
CustomArgs(["-e", "--epochs"], type=int, target="trainer;epochs"),
CustomArgs(["-loss", "--loss"], type=str, target="loss"),
CustomArgs(["-i", "--model_info"], type=str, target="tags;model_info"),
CustomArgs(["-type", "--run_type"], type=str, target="tags;run_type"),
CustomArgs(["-m", "--model"], type=str, target="arch;type"),
CustomArgs(["-opt", "--optimizer"], type=str, target="optimizer;type"),
CustomArgs(["-data", "--data"], type=str, target="data_loader;type"),
CustomArgs(["-saving", "--saving"], type=int, target="trainer;save_period"),
CustomArgs(["-size", "--size"], type=int, target="input_size"),
CustomArgs(["-n_gpu", "--n_gpu"], type=int, target="trainer;n_gpu"),
CustomArgs(["-n_nodes", "--n_nodes"], type=int, target="trainer;n_nodes"),
CustomArgs(["-auto_lr_find", "--auto_lr_find"], type=str2bool, target="trainer;auto_lr_find"),
CustomArgs(["-fast_dev_run", "--fast_dev_run"], type=str2bool, target="trainer;fast_dev_run"),
CustomArgs(["-threads", "--threads"], type=int, target="trainer;threads"),
CustomArgs(["-ddp_backend", "--ddp_backend"], type=str, target="trainer;ddp_backend"),
CustomArgs(["-profiler", "--profiler"], type=str2bool, target="trainer;profiler"),
CustomArgs(["-deterministic", "--deterministic"], type=str2bool, target="trainer;deterministic"),
CustomArgs(["-benchmark", "--benchmark"], type=str2bool, target="trainer;benchmark"),
CustomArgs(["-precision", "--precision"], type=int, target="trainer;precision"),
CustomArgs(["-log_gpu", "--log_gpu"], type=str2bool, target="trainer;log_gpu"),
CustomArgs(["-resume", "--resume_from_checkpoint"], type=str2bool, target="trainer;resume_from_checkpoint",),
CustomArgs(["-limit_train_batches", "--limit_train_batches"], type=float, target="trainer;limit_train_batches"),
CustomArgs(["-limit_val_batches", "--limit_val_batches"], type=float, target="trainer;limit_val_batches"),
CustomArgs(["-max_steps", "--max_steps"], type=int, target="trainer;max_steps"),
CustomArgs(["-gradient_clip_val", "--gradient_clip_val"], type=float, target="trainer;gradient_clip_val"),
CustomArgs(["-ddp_sharded", "--ddp_sharded"], type=str2bool, target="trainer;ddp_sharded"),
CustomArgs(["-group", "--group"], type=str, target="group"),
CustomArgs(["-sequential", "--sequential"], type=str2bool, target="method;sequential"),
CustomArgs(["-experiment", "--experiment"], type=str, target="experiment"),
CustomArgs(["-mixup", "--mixup"], type=str2bool, target="augmentation;mixup"),
CustomArgs(["-mixupalpha", "--alpha"], type=float, target="augmentation;mixup_alpha"),
CustomArgs(["-weight_decay", "--weight_decay"], type=float, target="optimizer;args;weight_decay"),
]
options = options_standard + options
for opt in options:
args.add_argument(*opt.flags, default=None, type=opt.type)
if not isinstance(args, tuple):
args = args.parse_args()
if args.device is not None:
os.environ["CUDA_VISIBLE_DEVICES"] = args.device
if args.resume is not None:
resume = Path(args.resume)
cfg_fname = resume.parent / "config.yml"
else:
msg_no_cfg = "Configuration file need to be specified. Add '-c config.yml', for example."
assert args.config is not None, msg_no_cfg
resume = None
cfg_fname = Path(args.config)
config = read_yml(cfg_fname)
if args.config and resume:
# update new config for fine-tuning
config.update(read_yml(args.config))
# parse custom cli options into dictionary
modification = {opt.target: getattr(args, _get_opt_name(opt.flags)) for opt in options}
return cls(config, resume, modification)
def init_obj(self, name, module, *args, **kwargs):
"""
Finds a function handle with the name given as 'type' in config, and returns the
instance initialized with corresponding arguments given.
`object = config.init_obj('name', module, a, b=1)`
is equivalent to
`object = module.name(a, b=1)`
"""
module_name = self[name]["type"]
module_args = dict(self[name]["args"])
assert all([k not in module_args for k in kwargs]), "Overwriting kwargs given in config file is not allowed"
module_args.update(kwargs)
if name == "lr_scheduler" and module_name is None:
return None
return getattr(module, module_name)(*args, **module_args)
def init_ftn(self, name, module, *args, **kwargs):
"""
Finds a function handle with the name given as 'type' in config, and returns the
function with given arguments fixed with functools.partial.
`function = config.init_ftn('name', module, a, b=1)`
is equivalent to
`function = lambda *args, **kwargs: module.name(a, *args, b=1, **kwargs)`.
"""
module_name = self[name]["type"]
module_args = dict(self[name]["args"])
assert all([k not in module_args for k in kwargs]), "Overwriting kwargs given in config file is not allowed"
module_args.update(kwargs)
return partial(getattr(module, module_name), *args, **module_args)
def __getitem__(self, name):
"""Access items like ordinary dict."""
return self.config[name]
def get_logger(self, name, verbosity=2):
msg_verbosity = "verbosity option {} is invalid. Valid options are {}.".format(verbosity, self.log_levels.keys())
assert verbosity in self.log_levels, msg_verbosity
logger = logging.getLogger(name)
logger.setLevel(self.log_levels[verbosity])
logger.handlers = []
formatter = logging.Formatter("%(message)s")
consoleHandler = logging.StreamHandler()
consoleHandler.setFormatter(formatter)
return logger
# setting read-only attributes
@property
def config(self):
return self._config
@property
def save_dir(self):
return self._save_dir
@property
def log_dir(self):
return self._log_dir
# helper functions to update config dict with custom cli options
def _update_config(config, modification):
if modification is None:
return config
for k, v in modification.items():
if v is not None:
_set_by_path(config, k, v)
return config
def _get_opt_name(flags):
for flg in flags:
if flg.startswith("--"):
return flg.replace("--", "")
return flags[0].replace("--", "")
def _set_by_path(tree, keys, value):
"""Set a value in a nested object in tree by sequence of keys."""
keys = keys.split(";")
_get_by_path(tree, keys[:-1])[keys[-1]] = value
def _get_by_path(tree, keys):
"""Access a nested object in tree by sequence of keys."""
return reduce(getitem, keys, tree)
| 1,314 | 9,733 | 114 |
e9fad6bdb4159e681b3eac8d471935bffe95ee70 | 20,457 | py | Python | alf/utils/data_buffer.py | Haichao-Zhang/alf_randperm_reproduce | d5223b7534ab20ca725aac940ad274ef806d1d3e | [
"Apache-2.0"
] | null | null | null | alf/utils/data_buffer.py | Haichao-Zhang/alf_randperm_reproduce | d5223b7534ab20ca725aac940ad274ef806d1d3e | [
"Apache-2.0"
] | null | null | null | alf/utils/data_buffer.py | Haichao-Zhang/alf_randperm_reproduce | d5223b7534ab20ca725aac940ad274ef806d1d3e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 Horizon Robotics. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Classes for storing data for sampling."""
import functools
import gin
from multiprocessing import Event, RLock
import time
import torch
import torch.nn as nn
import alf
from alf.nest import get_nest_batch_size
from alf.tensor_specs import TensorSpec
from alf.nest.utils import convert_device
def atomic(func):
"""Make class member function atomic by checking ``class._lock``.
Can only be applied on class methods, whose containing class
must have ``_lock`` set to ``None`` or a ``multiprocessing.Lock`` object.
Args:
func (callable): the function to be wrapped.
Returns:
the wrapped function
"""
return atomic_deco(func)
class RingBuffer(nn.Module):
"""Batched Ring Buffer.
Multiprocessing safe, optionally via: ``allow_multiprocess`` flag, blocking
modes to ``enqueue`` and ``dequeue``, a stop event to terminate blocked
processes, and putting buffer into shared memory.
This is the underlying implementation of ``ReplayBuffer`` and ``Queue``.
Different from ``tf_agents.replay_buffers.tf_uniform_replay_buffer``, this
buffer allows users to specify the environment id when adding batch.
Thus, multiple actors can store experience in the same buffer.
Once stop event is set, all blocking ``enqueue`` and ``dequeue`` calls that
happen afterwards will be skipped, unless the operation already started.
Terminology: we use ``pos`` as in ``_current_pos`` to refer to the always
increasing position of an element in the infinitly long buffer, and ``idx``
as the actual index of the element in the underlying store (``_buffer``).
That means ``idx == pos % _max_length`` is always true, and one should use
``_buffer[idx]`` to retrieve the stored data.
"""
def __init__(self,
data_spec,
num_environments,
max_length=1024,
device="cpu",
allow_multiprocess=False,
name="RingBuffer"):
"""
Args:
data_spec (nested TensorSpec): spec describing a single item that
can be stored in this buffer.
num_environments (int): number of environments or total batch size.
max_length (int): The maximum number of items that can be stored
for a single environment.
device (str): A torch device to place the Variables and ops.
allow_multiprocess (bool): if ``True``, allows multiple processes
to write and read the buffer asynchronously.
name (str): name of the replay buffer.
"""
super().__init__()
self._name = name
self._max_length = max_length
self._num_envs = num_environments
self._device = device
self._allow_multiprocess = allow_multiprocess
# allows outside to stop enqueue and dequeue processes from waiting
self._stop = Event()
if allow_multiprocess:
self._lock = RLock() # re-entrant lock
# notify a finished dequeue event, so blocked enqueues may start
self._dequeued = Event()
self._dequeued.set()
# notify a finished enqueue event, so blocked dequeues may start
self._enqueued = Event()
self._enqueued.clear()
else:
self._lock = None
self._dequeued = None
self._enqueued = None
buffer_id = [0]
with alf.device(self._device):
self.register_buffer(
"_current_size",
torch.zeros(num_environments, dtype=torch.int64))
# Current *ending* positions of data in the buffer without modulo.
# The next experience will be stored at this position after modulo.
# These pos always increases. To get the index in the RingBuffer,
# use ``circular()``, e.g. ``last_idx = self.circular(pos - 1)``.
self.register_buffer(
"_current_pos", torch.zeros(
num_environments, dtype=torch.int64))
self._buffer = alf.nest.map_structure(_create_buffer, data_spec)
self._flattened_buffer = alf.nest.map_structure(
lambda x: x.view(-1, *x.shape[2:]), self._buffer)
if allow_multiprocess:
self.share_memory()
@property
def device(self):
"""The device where the data is stored in."""
return self._device
def circular(self, pos):
"""Mod pos by _max_length to get the actual index in the _buffer."""
return pos % self._max_length
def has_space(self, env_ids):
"""Check free space for one batch of data for env_ids.
Args:
env_ids (Tensor): Assumed not ``None``, properly checked by
``check_convert_env_ids()``.
Returns:
bool
"""
current_size = self._current_size[env_ids]
max_size = current_size.max()
return max_size < self._max_length
def enqueue(self, batch, env_ids=None, blocking=False):
"""Add a batch of items to the buffer.
Note, when ``blocking == False``, it always succeeds, overwriting
oldest data if there is no free slot.
Args:
batch (Tensor): of shape ``[batch_size] + tensor_spec.shape``
env_ids (Tensor): If ``None``, ``batch_size`` must be
``num_environments``. If not ``None``, its shape should be
``[batch_size]``. We assume there are no duplicate ids in
``env_id``. ``batch[i]`` is generated by environment
``env_ids[i]``.
blocking (bool): If ``True``, blocks if there is no free slot to add
data. If ``False``, enqueue can overwrite oldest data.
Returns:
True on success, False only in blocking mode when queue is stopped.
"""
if blocking:
assert self._allow_multiprocess, (
"Set allow_multiprocess to enable blocking mode.")
env_ids = self.check_convert_env_ids(env_ids)
while not self._stop.is_set():
with self._lock:
if self.has_space(env_ids):
self._enqueue(batch, env_ids)
return True
# The wait here is outside the lock, so multiple dequeue and
# enqueue could theoretically happen before the wait. The
# wait only acts as a more responsive sleep, and the return
# value is not used. We anyways need to check has_space after
# the wait timed out.
self._dequeued.wait(timeout=0.2)
return False
else:
self._enqueue(batch, env_ids)
return True
@atomic
def _enqueue(self, batch, env_ids=None):
"""Add a batch of items to the buffer (atomic).
Args:
batch (Tensor): shape should be
``[batch_size] + tensor_spec.shape``.
env_ids (Tensor): If ``None``, ``batch_size`` must be
``num_environments``. If not ``None``, its shape should be
``[batch_size]``. We assume there are no duplicate ids in
``env_id``. ``batch[i]`` is generated by environment
``env_ids[i]``.
"""
batch_size = alf.nest.get_nest_batch_size(batch)
with alf.device(self._device):
batch = convert_device(batch)
env_ids = self.check_convert_env_ids(env_ids)
assert batch_size == env_ids.shape[0], (
"batch and env_ids do not have same length %s vs. %s" %
(batch_size, env_ids.shape[0]))
# Make sure that there is no duplicate in `env_id`
# torch.unique(env_ids, return_counts=True)[1] is the counts for each unique item
assert torch.unique(
env_ids, return_counts=True)[1].max() == 1, (
"There are duplicated ids in env_ids %s" % env_ids)
current_pos = self._current_pos[env_ids]
indices = env_ids * self._max_length + self.circular(current_pos)
alf.nest.map_structure(
lambda buf, bat: buf.__setitem__(indices, bat.detach()),
self._flattened_buffer, batch)
self._current_pos[env_ids] = current_pos + 1
current_size = self._current_size[env_ids]
self._current_size[env_ids] = torch.clamp(
current_size + 1, max=self._max_length)
# set flags if they exist to unblock potential consumers
if self._enqueued:
self._enqueued.set()
self._dequeued.clear()
def has_data(self, env_ids, n=1):
"""Check ``n`` steps of data available for ``env_ids``.
Args:
env_ids (Tensor): Assumed not ``None``, properly checked by
``check_convert_env_ids()``.
n (int): Number of time steps to check.
Returns:
bool
"""
current_size = self._current_size[env_ids]
min_size = current_size.min()
return min_size >= n
def dequeue(self, env_ids=None, n=1, blocking=False):
"""Return earliest ``n`` steps and mark them removed in the buffer.
Args:
env_ids (Tensor): If None, ``batch_size`` must be num_environments.
If not None, dequeue from these environments. We assume there
is no duplicate ids in ``env_id``. ``result[i]`` will be from
environment ``env_ids[i]``.
n (int): Number of steps to dequeue.
blocking (bool): If ``True``, blocks if there is not enough data to
dequeue.
Returns:
nested Tensors or None when blocking dequeue gets terminated by
stop event. The shape of the Tensors is ``[batch_size, n, ...]``.
Raises:
AssertionError: when not enough data is present, in non-blocking
mode.
"""
assert n <= self._max_length
if blocking:
assert self._allow_multiprocess, [
"Set allow_multiprocess", "to enable blocking mode."
]
env_ids = self.check_convert_env_ids(env_ids)
while not self._stop.is_set():
with self._lock:
if self.has_data(env_ids, n):
return self._dequeue(env_ids=env_ids, n=n)
# The wait here is outside the lock, so multiple dequeue and
# enqueue could theoretically happen before the wait. The
# wait only acts as a more responsive sleep, and the return
# value is not used. We anyways need to check has_data after
# the wait timed out.
self._enqueued.wait(timeout=0.2)
return None
else:
return self._dequeue(env_ids=env_ids, n=n)
@atomic
def _dequeue(self, env_ids=None, n=1):
"""Return earliest ``n`` steps and mark them removed in the buffer.
Args:
env_ids (Tensor): If None, ``batch_size`` must be num_environments.
If not None, dequeue from these environments. We assume there
is no duplicate ids in ``env_id``. ``result[i]`` will be from
environment env_ids[i].
n (int): Number of steps to dequeue.
Returns:
nested Tensors of shape ``[batch_size, n, ...]``.
Raises:
AssertionError: when not enough data is present.
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
current_size = self._current_size[env_ids]
min_size = current_size.min()
assert min_size >= n, (
"Not all environments have enough data. The smallest data "
"size is: %s Try storing more data before calling dequeue" %
min_size)
batch_size = env_ids.shape[0]
pos = self._current_pos[env_ids] - current_size # mod done later
b_indices = env_ids.reshape(batch_size, 1).expand(-1, n)
t_range = torch.arange(n).reshape(1, -1)
t_indices = self.circular(pos.reshape(batch_size, 1) + t_range)
result = alf.nest.map_structure(
lambda b: b[(b_indices, t_indices)], self._buffer)
self._current_size[env_ids] = current_size - n
# set flags if they exist to unblock potential consumers
if self._dequeued:
self._dequeued.set()
self._enqueued.clear()
return convert_device(result)
@atomic
def remove_up_to(self, n, env_ids=None):
"""Mark as removed earliest up to ``n`` steps.
Args:
n (int): max number of steps to mark removed from buffer.
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
n = torch.min(
torch.as_tensor([n] * self._num_envs), self._current_size)
self._current_size[env_ids] = self._current_size[env_ids] - n
@atomic
def clear(self, env_ids=None):
"""Clear the buffer.
Args:
env_ids (Tensor): optional list of environment ids to clear
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
self._current_size.scatter_(0, env_ids, 0)
self._current_pos.scatter_(0, env_ids, 0)
if self._dequeued:
self._dequeued.set()
self._enqueued.clear()
def stop(self):
"""Stop waiting processes from being blocked.
Only checked in blocking mode of dequeue and enqueue.
All blocking enqueue and dequeue calls that happen afterwards will
be skipped (return ``None`` for dequeue or ``False`` for enqueue),
unless the operation already started.
"""
self._stop.set()
def revive(self):
"""Clears the stop Event so blocking mode will start working again.
Only checked in blocking mode of dequeue and enqueue.
"""
self._stop.clear()
@property
def get_earliest_position(self, env_ids):
"""The earliest position that is still in the replay buffer.
Args:
env_ids (Tensor): int64 Tensor of environment ids
Returns:
Tensor with the same shape as ``env_ids``, whose each entry is the
earliest position that is still in the replay buffer for
corresponding environment.
"""
return self._current_pos[env_ids] - self._current_size[env_ids]
class DataBuffer(RingBuffer):
"""A simple circular buffer supporting random sampling. This buffer doesn't
preserve temporality as data from multiple environments will be arbitrarily
stored.
Not multiprocessing safe.
"""
def __init__(self,
data_spec: TensorSpec,
capacity,
device='cpu',
name="DataBuffer"):
"""
Args:
data_spec (nested TensorSpec): spec for the data item (without batch
dimension) to be stored.
capacity (int): capacity of the buffer.
device (str): which device to store the data
name (str): name of the buffer
"""
super().__init__(
data_spec=data_spec,
num_environments=1,
max_length=capacity,
device=device,
allow_multiprocess=False,
name=name)
self._capacity = torch.as_tensor(
self._max_length, dtype=torch.int64, device=device)
self._derived_buffer = alf.nest.map_structure(lambda buf: buf[0],
self._buffer)
def add_batch(self, batch):
r"""Add a batch of items to the buffer.
Add batch_size items along the length of the underlying RingBuffer,
whereas RingBuffer.enqueue only adds data of length 1.
Truncates the data if ``batch_size > capacity``.
Args:
batch (Tensor): of shape ``[batch_size] + tensor_spec.shape``
"""
batch_size = alf.nest.get_nest_batch_size(batch)
with alf.device(self._device):
batch = convert_device(batch)
n = torch.clamp(self._capacity, max=batch_size)
current_pos = self.current_pos
current_size = self.current_size
indices = self.circular(torch.arange(current_pos, current_pos + n))
alf.nest.map_structure(
lambda buf, bat: buf.__setitem__(indices, bat[-n:].detach()),
self._derived_buffer, batch)
current_pos.copy_(current_pos + n)
current_size.copy_(torch.min(current_size + n, self._capacity))
def get_batch(self, batch_size):
r"""Get batsh_size random samples in the buffer.
Args:
batch_size (int): batch size
Returns:
Tensor of shape ``[batch_size] + tensor_spec.shape``
"""
with alf.device(self._device):
indices = torch.randint(
low=0,
high=self.current_size,
size=(batch_size, ),
dtype=torch.int64)
result = self.get_batch_by_indices(indices)
return convert_device(result)
def get_batch_by_indices(self, indices):
r"""Get the samples by indices
index=0 corresponds to the earliest added sample in the DataBuffer.
Args:
indices (Tensor): indices of the samples
Returns:
Tensor:
Tensor of shape ``[batch_size] + tensor_spec.shape``, where
``batch_size`` is ``indices.shape[0]``
"""
with alf.device(self._device):
indices = convert_device(indices)
indices = self.circular(indices + self.current_pos -
self.current_size)
result = alf.nest.map_structure(lambda buf: buf[indices],
self._derived_buffer)
return convert_device(result)
@property
@property
| 39.114723 | 93 | 0.588698 | # Copyright (c) 2019 Horizon Robotics. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Classes for storing data for sampling."""
import functools
import gin
from multiprocessing import Event, RLock
import time
import torch
import torch.nn as nn
import alf
from alf.nest import get_nest_batch_size
from alf.tensor_specs import TensorSpec
from alf.nest.utils import convert_device
def atomic(func):
"""Make class member function atomic by checking ``class._lock``.
Can only be applied on class methods, whose containing class
must have ``_lock`` set to ``None`` or a ``multiprocessing.Lock`` object.
Args:
func (callable): the function to be wrapped.
Returns:
the wrapped function
"""
def atomic_deco(func):
@functools.wraps(func)
def atomic_wrapper(self, *args, **kwargs):
lock = getattr(self, '_lock')
if lock:
with lock:
return func(self, *args, **kwargs)
else:
return func(self, *args, **kwargs)
return atomic_wrapper
return atomic_deco(func)
class RingBuffer(nn.Module):
"""Batched Ring Buffer.
Multiprocessing safe, optionally via: ``allow_multiprocess`` flag, blocking
modes to ``enqueue`` and ``dequeue``, a stop event to terminate blocked
processes, and putting buffer into shared memory.
This is the underlying implementation of ``ReplayBuffer`` and ``Queue``.
Different from ``tf_agents.replay_buffers.tf_uniform_replay_buffer``, this
buffer allows users to specify the environment id when adding batch.
Thus, multiple actors can store experience in the same buffer.
Once stop event is set, all blocking ``enqueue`` and ``dequeue`` calls that
happen afterwards will be skipped, unless the operation already started.
Terminology: we use ``pos`` as in ``_current_pos`` to refer to the always
increasing position of an element in the infinitly long buffer, and ``idx``
as the actual index of the element in the underlying store (``_buffer``).
That means ``idx == pos % _max_length`` is always true, and one should use
``_buffer[idx]`` to retrieve the stored data.
"""
def __init__(self,
data_spec,
num_environments,
max_length=1024,
device="cpu",
allow_multiprocess=False,
name="RingBuffer"):
"""
Args:
data_spec (nested TensorSpec): spec describing a single item that
can be stored in this buffer.
num_environments (int): number of environments or total batch size.
max_length (int): The maximum number of items that can be stored
for a single environment.
device (str): A torch device to place the Variables and ops.
allow_multiprocess (bool): if ``True``, allows multiple processes
to write and read the buffer asynchronously.
name (str): name of the replay buffer.
"""
super().__init__()
self._name = name
self._max_length = max_length
self._num_envs = num_environments
self._device = device
self._allow_multiprocess = allow_multiprocess
# allows outside to stop enqueue and dequeue processes from waiting
self._stop = Event()
if allow_multiprocess:
self._lock = RLock() # re-entrant lock
# notify a finished dequeue event, so blocked enqueues may start
self._dequeued = Event()
self._dequeued.set()
# notify a finished enqueue event, so blocked dequeues may start
self._enqueued = Event()
self._enqueued.clear()
else:
self._lock = None
self._dequeued = None
self._enqueued = None
buffer_id = [0]
def _create_buffer(tensor_spec):
buf = tensor_spec.zeros((num_environments, max_length))
self.register_buffer("_buffer%s" % buffer_id[0], buf)
buffer_id[0] += 1
return buf
with alf.device(self._device):
self.register_buffer(
"_current_size",
torch.zeros(num_environments, dtype=torch.int64))
# Current *ending* positions of data in the buffer without modulo.
# The next experience will be stored at this position after modulo.
# These pos always increases. To get the index in the RingBuffer,
# use ``circular()``, e.g. ``last_idx = self.circular(pos - 1)``.
self.register_buffer(
"_current_pos", torch.zeros(
num_environments, dtype=torch.int64))
self._buffer = alf.nest.map_structure(_create_buffer, data_spec)
self._flattened_buffer = alf.nest.map_structure(
lambda x: x.view(-1, *x.shape[2:]), self._buffer)
if allow_multiprocess:
self.share_memory()
@property
def device(self):
"""The device where the data is stored in."""
return self._device
def circular(self, pos):
"""Mod pos by _max_length to get the actual index in the _buffer."""
return pos % self._max_length
def check_convert_env_ids(self, env_ids):
with alf.device(self._device):
if env_ids is None:
env_ids = torch.arange(self._num_envs)
else:
env_ids = env_ids.to(torch.int64)
env_ids = convert_device(env_ids)
assert len(env_ids.
shape) == 1, "env_ids {}, should be a 1D tensor".format(
env_ids.shape)
return env_ids
def has_space(self, env_ids):
"""Check free space for one batch of data for env_ids.
Args:
env_ids (Tensor): Assumed not ``None``, properly checked by
``check_convert_env_ids()``.
Returns:
bool
"""
current_size = self._current_size[env_ids]
max_size = current_size.max()
return max_size < self._max_length
def enqueue(self, batch, env_ids=None, blocking=False):
"""Add a batch of items to the buffer.
Note, when ``blocking == False``, it always succeeds, overwriting
oldest data if there is no free slot.
Args:
batch (Tensor): of shape ``[batch_size] + tensor_spec.shape``
env_ids (Tensor): If ``None``, ``batch_size`` must be
``num_environments``. If not ``None``, its shape should be
``[batch_size]``. We assume there are no duplicate ids in
``env_id``. ``batch[i]`` is generated by environment
``env_ids[i]``.
blocking (bool): If ``True``, blocks if there is no free slot to add
data. If ``False``, enqueue can overwrite oldest data.
Returns:
True on success, False only in blocking mode when queue is stopped.
"""
if blocking:
assert self._allow_multiprocess, (
"Set allow_multiprocess to enable blocking mode.")
env_ids = self.check_convert_env_ids(env_ids)
while not self._stop.is_set():
with self._lock:
if self.has_space(env_ids):
self._enqueue(batch, env_ids)
return True
# The wait here is outside the lock, so multiple dequeue and
# enqueue could theoretically happen before the wait. The
# wait only acts as a more responsive sleep, and the return
# value is not used. We anyways need to check has_space after
# the wait timed out.
self._dequeued.wait(timeout=0.2)
return False
else:
self._enqueue(batch, env_ids)
return True
@atomic
def _enqueue(self, batch, env_ids=None):
"""Add a batch of items to the buffer (atomic).
Args:
batch (Tensor): shape should be
``[batch_size] + tensor_spec.shape``.
env_ids (Tensor): If ``None``, ``batch_size`` must be
``num_environments``. If not ``None``, its shape should be
``[batch_size]``. We assume there are no duplicate ids in
``env_id``. ``batch[i]`` is generated by environment
``env_ids[i]``.
"""
batch_size = alf.nest.get_nest_batch_size(batch)
with alf.device(self._device):
batch = convert_device(batch)
env_ids = self.check_convert_env_ids(env_ids)
assert batch_size == env_ids.shape[0], (
"batch and env_ids do not have same length %s vs. %s" %
(batch_size, env_ids.shape[0]))
# Make sure that there is no duplicate in `env_id`
# torch.unique(env_ids, return_counts=True)[1] is the counts for each unique item
assert torch.unique(
env_ids, return_counts=True)[1].max() == 1, (
"There are duplicated ids in env_ids %s" % env_ids)
current_pos = self._current_pos[env_ids]
indices = env_ids * self._max_length + self.circular(current_pos)
alf.nest.map_structure(
lambda buf, bat: buf.__setitem__(indices, bat.detach()),
self._flattened_buffer, batch)
self._current_pos[env_ids] = current_pos + 1
current_size = self._current_size[env_ids]
self._current_size[env_ids] = torch.clamp(
current_size + 1, max=self._max_length)
# set flags if they exist to unblock potential consumers
if self._enqueued:
self._enqueued.set()
self._dequeued.clear()
def has_data(self, env_ids, n=1):
"""Check ``n`` steps of data available for ``env_ids``.
Args:
env_ids (Tensor): Assumed not ``None``, properly checked by
``check_convert_env_ids()``.
n (int): Number of time steps to check.
Returns:
bool
"""
current_size = self._current_size[env_ids]
min_size = current_size.min()
return min_size >= n
def dequeue(self, env_ids=None, n=1, blocking=False):
"""Return earliest ``n`` steps and mark them removed in the buffer.
Args:
env_ids (Tensor): If None, ``batch_size`` must be num_environments.
If not None, dequeue from these environments. We assume there
is no duplicate ids in ``env_id``. ``result[i]`` will be from
environment ``env_ids[i]``.
n (int): Number of steps to dequeue.
blocking (bool): If ``True``, blocks if there is not enough data to
dequeue.
Returns:
nested Tensors or None when blocking dequeue gets terminated by
stop event. The shape of the Tensors is ``[batch_size, n, ...]``.
Raises:
AssertionError: when not enough data is present, in non-blocking
mode.
"""
assert n <= self._max_length
if blocking:
assert self._allow_multiprocess, [
"Set allow_multiprocess", "to enable blocking mode."
]
env_ids = self.check_convert_env_ids(env_ids)
while not self._stop.is_set():
with self._lock:
if self.has_data(env_ids, n):
return self._dequeue(env_ids=env_ids, n=n)
# The wait here is outside the lock, so multiple dequeue and
# enqueue could theoretically happen before the wait. The
# wait only acts as a more responsive sleep, and the return
# value is not used. We anyways need to check has_data after
# the wait timed out.
self._enqueued.wait(timeout=0.2)
return None
else:
return self._dequeue(env_ids=env_ids, n=n)
@atomic
def _dequeue(self, env_ids=None, n=1):
"""Return earliest ``n`` steps and mark them removed in the buffer.
Args:
env_ids (Tensor): If None, ``batch_size`` must be num_environments.
If not None, dequeue from these environments. We assume there
is no duplicate ids in ``env_id``. ``result[i]`` will be from
environment env_ids[i].
n (int): Number of steps to dequeue.
Returns:
nested Tensors of shape ``[batch_size, n, ...]``.
Raises:
AssertionError: when not enough data is present.
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
current_size = self._current_size[env_ids]
min_size = current_size.min()
assert min_size >= n, (
"Not all environments have enough data. The smallest data "
"size is: %s Try storing more data before calling dequeue" %
min_size)
batch_size = env_ids.shape[0]
pos = self._current_pos[env_ids] - current_size # mod done later
b_indices = env_ids.reshape(batch_size, 1).expand(-1, n)
t_range = torch.arange(n).reshape(1, -1)
t_indices = self.circular(pos.reshape(batch_size, 1) + t_range)
result = alf.nest.map_structure(
lambda b: b[(b_indices, t_indices)], self._buffer)
self._current_size[env_ids] = current_size - n
# set flags if they exist to unblock potential consumers
if self._dequeued:
self._dequeued.set()
self._enqueued.clear()
return convert_device(result)
@atomic
def remove_up_to(self, n, env_ids=None):
"""Mark as removed earliest up to ``n`` steps.
Args:
n (int): max number of steps to mark removed from buffer.
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
n = torch.min(
torch.as_tensor([n] * self._num_envs), self._current_size)
self._current_size[env_ids] = self._current_size[env_ids] - n
@atomic
def clear(self, env_ids=None):
"""Clear the buffer.
Args:
env_ids (Tensor): optional list of environment ids to clear
"""
with alf.device(self._device):
env_ids = self.check_convert_env_ids(env_ids)
self._current_size.scatter_(0, env_ids, 0)
self._current_pos.scatter_(0, env_ids, 0)
if self._dequeued:
self._dequeued.set()
self._enqueued.clear()
def stop(self):
"""Stop waiting processes from being blocked.
Only checked in blocking mode of dequeue and enqueue.
All blocking enqueue and dequeue calls that happen afterwards will
be skipped (return ``None`` for dequeue or ``False`` for enqueue),
unless the operation already started.
"""
self._stop.set()
def revive(self):
"""Clears the stop Event so blocking mode will start working again.
Only checked in blocking mode of dequeue and enqueue.
"""
self._stop.clear()
@property
def num_environments(self):
return self._num_envs
def get_earliest_position(self, env_ids):
"""The earliest position that is still in the replay buffer.
Args:
env_ids (Tensor): int64 Tensor of environment ids
Returns:
Tensor with the same shape as ``env_ids``, whose each entry is the
earliest position that is still in the replay buffer for
corresponding environment.
"""
return self._current_pos[env_ids] - self._current_size[env_ids]
class DataBuffer(RingBuffer):
"""A simple circular buffer supporting random sampling. This buffer doesn't
preserve temporality as data from multiple environments will be arbitrarily
stored.
Not multiprocessing safe.
"""
def __init__(self,
data_spec: TensorSpec,
capacity,
device='cpu',
name="DataBuffer"):
"""
Args:
data_spec (nested TensorSpec): spec for the data item (without batch
dimension) to be stored.
capacity (int): capacity of the buffer.
device (str): which device to store the data
name (str): name of the buffer
"""
super().__init__(
data_spec=data_spec,
num_environments=1,
max_length=capacity,
device=device,
allow_multiprocess=False,
name=name)
self._capacity = torch.as_tensor(
self._max_length, dtype=torch.int64, device=device)
self._derived_buffer = alf.nest.map_structure(lambda buf: buf[0],
self._buffer)
def add_batch(self, batch):
r"""Add a batch of items to the buffer.
Add batch_size items along the length of the underlying RingBuffer,
whereas RingBuffer.enqueue only adds data of length 1.
Truncates the data if ``batch_size > capacity``.
Args:
batch (Tensor): of shape ``[batch_size] + tensor_spec.shape``
"""
batch_size = alf.nest.get_nest_batch_size(batch)
with alf.device(self._device):
batch = convert_device(batch)
n = torch.clamp(self._capacity, max=batch_size)
current_pos = self.current_pos
current_size = self.current_size
indices = self.circular(torch.arange(current_pos, current_pos + n))
alf.nest.map_structure(
lambda buf, bat: buf.__setitem__(indices, bat[-n:].detach()),
self._derived_buffer, batch)
current_pos.copy_(current_pos + n)
current_size.copy_(torch.min(current_size + n, self._capacity))
def get_batch(self, batch_size):
r"""Get batsh_size random samples in the buffer.
Args:
batch_size (int): batch size
Returns:
Tensor of shape ``[batch_size] + tensor_spec.shape``
"""
with alf.device(self._device):
indices = torch.randint(
low=0,
high=self.current_size,
size=(batch_size, ),
dtype=torch.int64)
result = self.get_batch_by_indices(indices)
return convert_device(result)
def get_batch_by_indices(self, indices):
r"""Get the samples by indices
index=0 corresponds to the earliest added sample in the DataBuffer.
Args:
indices (Tensor): indices of the samples
Returns:
Tensor:
Tensor of shape ``[batch_size] + tensor_spec.shape``, where
``batch_size`` is ``indices.shape[0]``
"""
with alf.device(self._device):
indices = convert_device(indices)
indices = self.circular(indices + self.current_pos -
self.current_size)
result = alf.nest.map_structure(lambda buf: buf[indices],
self._derived_buffer)
return convert_device(result)
def is_full(self):
return (self.current_size == self._capacity).cpu().numpy()
@property
def current_size(self):
return self._current_size[0]
@property
def current_pos(self):
return self._current_pos[0]
def get_all(self):
return convert_device(
alf.nest.map_structure(lambda buf: buf, self._derived_buffer))
| 1,246 | 0 | 217 |
7e08175ea5c98010a48c0c4126af4cb1ccc72874 | 852 | py | Python | bytenet/utils.py | tindzk/bsnlp | 5b3e7ca746506e426b399490f9da6a31aee83f9e | [
"MIT"
] | 1 | 2017-03-31T08:50:30.000Z | 2017-03-31T08:50:30.000Z | bytenet/utils.py | tindzk/bsnlp | 5b3e7ca746506e426b399490f9da6a31aee83f9e | [
"MIT"
] | null | null | null | bytenet/utils.py | tindzk/bsnlp | 5b3e7ca746506e426b399490f9da6a31aee83f9e | [
"MIT"
] | null | null | null | import json
import codecs
import itertools
import numpy as np
# If length -1, no validation data
| 28.4 | 71 | 0.639671 | import json
import codecs
import itertools
import numpy as np
# If length -1, no validation data
def loadDataSet(file, length = -1):
with codecs.open(file, encoding = 'utf-8') as f:
arr = json.load(f)
if length == -1: return arr, []
else:
assert(length * 2 <= len(arr))
return arr[0:length], arr[-length:]
def text_from_string(text):
return [ord(c) for c in text]
def _load_generator_data(text, sample_size):
mod_size = len(text) - len(text) % sample_size
return text[0:mod_size]
def load_generator_data(texts, sample_size):
return np.array(
# Shorten each text to a multiple of sample_size
list(itertools.chain.from_iterable(
[_load_generator_data(text, sample_size) for text in texts]
)),
dtype='int32'
).reshape(-1, sample_size)
| 663 | 0 | 91 |
d5e00b75ff7eee48d6500ffb6e36796e8a82f344 | 8,836 | py | Python | sciencebeam_gym/tools/calculate_class_weights.py | elifesciences/sciencebeam-gym | 3ad654e08775e0c0cdd256753e14093bb5a42d44 | [
"MIT"
] | 25 | 2017-07-25T12:44:55.000Z | 2020-09-30T22:16:50.000Z | sciencebeam_gym/tools/calculate_class_weights.py | elifesciences/sciencebeam-gym | 3ad654e08775e0c0cdd256753e14093bb5a42d44 | [
"MIT"
] | 192 | 2017-11-29T08:57:03.000Z | 2022-03-29T18:44:41.000Z | sciencebeam_gym/tools/calculate_class_weights.py | elifesciences/sciencebeam-gym | 3ad654e08775e0c0cdd256753e14093bb5a42d44 | [
"MIT"
] | 6 | 2019-02-01T18:49:33.000Z | 2020-07-26T08:18:46.000Z | from __future__ import division
from __future__ import print_function
import argparse
import logging
import json
import numpy as np
import tensorflow as tf
from tensorflow.python.lib.io import file_io # pylint: disable=E0611
from tqdm import tqdm
from sciencebeam_gym.preprocess.color_map import (
parse_color_map_from_file
)
from sciencebeam_gym.utils.tfrecord import (
iter_read_tfrecord_file_as_dict_list
)
from sciencebeam_gym.model_utils.channels import (
color_equals_mask_as_float,
calculate_color_masks
)
def calculate_median_class_weight(class_frequencies):
"""
Perform median frequency balancing on the image files, given by the formula:
f = Median_freq_c / total_freq_c
where median_freq_c is the median frequency of the class
for all pixels of C that appeared in images
and total_freq_c is the total number of pixels of c in the total pixels
of the images where c appeared.
"""
non_zero_frequencies = [f for f in class_frequencies if f != 0.0]
if not non_zero_frequencies:
return 0.0
get_logger().debug('non_zero_frequencies: %s', non_zero_frequencies)
total_freq_c = sum(non_zero_frequencies)
get_logger().debug('total_freq_c: %s', total_freq_c)
median_freq_c = np.median(non_zero_frequencies)
get_logger().debug('median_freq_c: %s', median_freq_c)
return median_freq_c / total_freq_c
if __name__ == '__main__':
logging.basicConfig(level='INFO')
main()
| 31.44484 | 99 | 0.69081 | from __future__ import division
from __future__ import print_function
import argparse
import logging
import json
import numpy as np
import tensorflow as tf
from tensorflow.python.lib.io import file_io # pylint: disable=E0611
from tqdm import tqdm
from sciencebeam_gym.preprocess.color_map import (
parse_color_map_from_file
)
from sciencebeam_gym.utils.tfrecord import (
iter_read_tfrecord_file_as_dict_list
)
from sciencebeam_gym.model_utils.channels import (
color_equals_mask_as_float,
calculate_color_masks
)
def get_logger():
return logging.getLogger(__name__)
def color_frequency(image, color):
return tf.reduce_sum(color_equals_mask_as_float(image, color))
def get_shape(x):
try:
return x.shape
except AttributeError:
return tf.constant(x).shape
def calculate_sample_frequencies(image, colors, use_unknown_class=False):
color_masks = calculate_color_masks(image, colors, use_unknown_class)
return [
tf.reduce_sum(color_mask)
for color_mask in color_masks
]
def iter_calculate_sample_frequencies(
images, colors, image_shape=None, image_format=None, use_unknown_class=False):
with tf.Graph().as_default():
if image_format == 'png':
image_tensor = tf.placeholder(tf.string, shape=[], name='image')
decoded_image_tensor = tf.image.decode_png(image_tensor, channels=3)
else:
if image_shape is None:
image_shape = (None, None, 3)
image_tensor = tf.placeholder(tf.uint8, shape=image_shape, name='image')
decoded_image_tensor = image_tensor
get_logger().debug('decoded_image_tensor: %s', decoded_image_tensor)
frequency_tensors = calculate_sample_frequencies(
decoded_image_tensor, colors, use_unknown_class=use_unknown_class
)
with tf.Session() as session:
for image in images:
frequencies = session.run(frequency_tensors, {
image_tensor: image
})
get_logger().debug('frequencies: %s', frequencies)
yield frequencies
def tf_calculate_efnet_weights_for_frequency_by_label(
frequency_by_label, return_zero_for_zero_frequency=True):
total_frequency = tf.reduce_sum(frequency_by_label)
class_weights = 1.0 / tf.log(1.02 + frequency_by_label / total_frequency)
return (
class_weights * tf.cast(tf.minimum(frequency_by_label, 1), class_weights.dtype)
if return_zero_for_zero_frequency
else class_weights
)
def calculate_efnet_weights_for_frequency_by_label(frequency_by_label):
total_frequency = sum(frequency_by_label)
return [
1 / np.log(1.02 + (frequency / total_frequency))
if frequency > 0 else 0.0
for frequency in frequency_by_label
]
def sum_frequencies_by_label(frequencies_by_label):
return [sum(x) for x in frequencies_by_label]
def calculate_efnet_weights_for_frequencies_by_label(frequencies_by_label):
return calculate_efnet_weights_for_frequency_by_label(
sum_frequencies_by_label(frequencies_by_label)
)
def calculate_median_class_weight(class_frequencies):
"""
Perform median frequency balancing on the image files, given by the formula:
f = Median_freq_c / total_freq_c
where median_freq_c is the median frequency of the class
for all pixels of C that appeared in images
and total_freq_c is the total number of pixels of c in the total pixels
of the images where c appeared.
"""
non_zero_frequencies = [f for f in class_frequencies if f != 0.0]
if not non_zero_frequencies:
return 0.0
get_logger().debug('non_zero_frequencies: %s', non_zero_frequencies)
total_freq_c = sum(non_zero_frequencies)
get_logger().debug('total_freq_c: %s', total_freq_c)
median_freq_c = np.median(non_zero_frequencies)
get_logger().debug('median_freq_c: %s', median_freq_c)
return median_freq_c / total_freq_c
def calculate_median_weights_for_frequencies(frequencies):
median_frequencies_balanced = [
calculate_median_class_weight(f)
for f in frequencies
]
total = sum(median_frequencies_balanced)
return [
f / total
for f in median_frequencies_balanced
]
def parse_color_map(color_map_filename):
with file_io.FileIO(color_map_filename, 'r') as config_f:
return parse_color_map_from_file(
config_f
)
def transpose(m):
return zip(*m)
def iter_images_for_tfrecord_paths(tfrecord_paths, image_key, progress=False):
for tfrecord_path in tfrecord_paths:
get_logger().info('tfrecord_path: %s', tfrecord_path)
filenames = file_io.get_matching_files(tfrecord_path)
with tqdm(list(filenames), leave=False, disable=not progress) as pbar:
for tfrecord_filename in pbar:
pbar.set_description('%-40s' % tfrecord_filename)
get_logger().debug('tfrecord_filename: %s', tfrecord_filename)
for d in iter_read_tfrecord_file_as_dict_list(tfrecord_filename, keys={image_key}):
yield d[image_key]
def calculate_median_class_weights_for_tfrecord_paths_and_colors(
tfrecord_paths, image_key, colors, use_unknown_class=False, progress=False):
get_logger().debug('colors: %s', colors)
get_logger().info('loading tfrecords: %s', tfrecord_paths)
images = iter_images_for_tfrecord_paths(tfrecord_paths, image_key, progress=progress)
if progress:
images = list(images)
images = tqdm(images, 'analysing images', leave=False)
frequency_list = list(iter_calculate_sample_frequencies(
images, colors, image_format='png', use_unknown_class=use_unknown_class
))
get_logger().debug('frequency_list: %s', frequency_list)
frequencies = transpose(frequency_list)
get_logger().debug('frequencies: %s', frequencies)
class_weights = calculate_median_weights_for_frequencies(frequencies)
return class_weights
def calculate_median_class_weights_for_tfrecord_paths_and_color_map(
tfrecord_paths, image_key, color_map, channels=None,
use_unknown_class=False, unknown_class_label='unknown',
progress=False):
if not channels:
channels = sorted(color_map.keys())
colors = [color_map[k] for k in channels]
class_weights = calculate_median_class_weights_for_tfrecord_paths_and_colors(
tfrecord_paths,
image_key,
colors,
progress=progress,
use_unknown_class=use_unknown_class
)
if use_unknown_class:
channels += [unknown_class_label]
return dict(zip(channels, class_weights))
def str_to_bool(s):
return s.lower() in ('yes', 'true', '1')
def str_to_list(s):
s = s.strip()
if not s:
return []
return [x.strip() for x in s.split(',')]
def get_args_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
'--tfrecord-paths',
required=True,
type=str,
action='append',
help='The paths to the tf-records files to analyse.'
)
parser.add_argument(
'--image-key',
required=False,
type=str,
help='The name of the image key to do the class weights on.'
)
parser.add_argument(
'--color-map',
required=True,
type=str,
help='The color-map filename.'
)
parser.add_argument(
'--channels',
type=str_to_list,
help='The channels to use (subset of color map), otherwise all of the labels will be used'
)
parser.add_argument(
'--use-unknown-class',
type=str_to_bool,
default=True,
help='Use unknown class channel'
)
parser.add_argument(
'--out',
required=False,
type=str,
help='The filename the output file (json), otherwise the output will be written to stdout.'
)
return parser
def parse_args(argv=None):
parser = get_args_parser()
parsed_args = parser.parse_args(argv)
return parsed_args
def main(argv=None):
args = parse_args(argv)
color_map = parse_color_map(args.color_map)
class_weights_map = calculate_median_class_weights_for_tfrecord_paths_and_color_map(
args.tfrecord_paths,
args.image_key,
color_map,
channels=args.channels,
use_unknown_class=args.use_unknown_class,
progress=True
)
get_logger().info('class_weights: %s', class_weights_map)
json_str = json.dumps(class_weights_map, indent=2)
if args.out:
with file_io.FileIO(args.out, 'wb') as out_f:
out_f.write(json_str)
else:
print(json_str)
if __name__ == '__main__':
logging.basicConfig(level='INFO')
main()
| 6,873 | 0 | 460 |
02261c29290fe4010d7d7e887e89a38b7ba6e5d7 | 7,129 | py | Python | hring/src/Script/eval_test.py | anderson1008/Noculator | 411964ce333c3bd587840554efef6e61c0b9b4d5 | [
"MIT"
] | null | null | null | hring/src/Script/eval_test.py | anderson1008/Noculator | 411964ce333c3bd587840554efef6e61c0b9b4d5 | [
"MIT"
] | null | null | null | hring/src/Script/eval_test.py | anderson1008/Noculator | 411964ce333c3bd587840554efef6e61c0b9b4d5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import os
import re
import fnmatch
import string
import my_print
import matplotlib.pyplot as plt
import get
work_dir = "/Users/Anderson/GoogleDrive/NOCulator/hring/src/bin"
#work_dir = "//Users/Anderson/Desktop/SweepAll_8x8/results/homo/8x8/design/17"
input_file = "bs_homo_8x8_2.out"
# MAP 1 & 2
#ipc_alone = [1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83]
#ipc_alone = [1.90, 1.90, 2.78, 2.78, 1.90, 1.90, 2.78, 2.78, 2.52, 2.52, 1.83, 1.83, 2.52, 2.52, 1.83, 1.83]
# map 3 & 4
#ipc_alone = [2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36]
#ipc_alone = [2.78, 2.78, 2.19, 2.19, 2.78, 2.78, 2.19, 2.19, 2.52, 2.52, 1.36, 1.36, 2.52, 2.52, 1.36, 1.36]
#map 5 & 6
#ipc_alone = [2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24 ,2.36 ,1.88 ,1.32 ,2.24 ,2.36 ,1.88 ,1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32 ,2.24, 2.36 ,1.88 ,1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88 ,1.32]
#ipc_alone = [2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32]
ipc_alone = [2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32]
#ipc_alone = [2.52, 2.52, 1.33, 1.33, 2.52, 2.52, 1.33, 1.33, 1.83, 1.83, 2.78, 2.78, 1.83, 1.83, 2.78, 2.78] # heter_app 1
#input_file = "nas_4_0.08.out"
# compute mpki
# compute the application avg of some metric for each type of application
# compute weighted speedup
#compute harmonic speedup
#compute the actual slowdown
#compute unfairness
#work_dir = str(input('Please input your work dir: '))
#input_file = str(input('Please input the file name (*.out): ' ))
test_file_name = work_dir + "/" + input_file
stat_shared = get_stat (test_file_name)
act_t_shared = get_active_cycles(stat_shared)
insns_shared = get_insns_persrc(stat_shared)
ipc_shared = cmp_ipc (insns_shared, act_t_shared)
mpki=cmp_mpki(stat_shared)
print "Avg app mpki"
print cmp_app_avg(mpki)
#est_sd = get_est_sd(stat_shared)
#l1_miss = get_est_L1miss(stat_shared)
#plt.figure(1)
#plt.subplot(2,1,1)
#my_print.print_period(est_sd)
#plt.subplot(2,1,2)
#my_print.print_period(l1_miss)
#plt.show() # enable to show the plot
#print est_sd
ws = cmp_ws (ipc_alone, ipc_shared)
hs = cmp_hs (ipc_alone, ipc_shared)
uf = cmp_uf (ipc_alone, ipc_shared)
print "Weighted Speedup = " + str("%.3f" % ws)
print "Harmonic Speedup = " + str("%.3f" % hs)
print "Unfairness = " + str("%.3f" % uf)
| 35.292079 | 399 | 0.612007 | #!/usr/bin/python
import sys
import os
import re
import fnmatch
import string
import my_print
import matplotlib.pyplot as plt
import get
work_dir = "/Users/Anderson/GoogleDrive/NOCulator/hring/src/bin"
#work_dir = "//Users/Anderson/Desktop/SweepAll_8x8/results/homo/8x8/design/17"
input_file = "bs_homo_8x8_2.out"
# MAP 1 & 2
#ipc_alone = [1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83, 1.90, 2.78, 2.52, 1.83]
#ipc_alone = [1.90, 1.90, 2.78, 2.78, 1.90, 1.90, 2.78, 2.78, 2.52, 2.52, 1.83, 1.83, 2.52, 2.52, 1.83, 1.83]
# map 3 & 4
#ipc_alone = [2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36, 2.78, 2.19, 2.52, 1.36]
#ipc_alone = [2.78, 2.78, 2.19, 2.19, 2.78, 2.78, 2.19, 2.19, 2.52, 2.52, 1.36, 1.36, 2.52, 2.52, 1.36, 1.36]
#map 5 & 6
#ipc_alone = [2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24 ,2.36 ,1.88 ,1.32 ,2.24 ,2.36 ,1.88 ,1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32 ,2.24, 2.36 ,1.88 ,1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88 ,1.32]
#ipc_alone = [2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 2.24, 2.24, 2.24, 2.24, 2.36, 2.36, 2.36, 2.36, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32, 1.88, 1.88, 1.88, 1.88, 1.32, 1.32, 1.32, 1.32]
ipc_alone = [2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32, 2.24, 2.36, 1.88, 1.32]
#ipc_alone = [2.52, 2.52, 1.33, 1.33, 2.52, 2.52, 1.33, 1.33, 1.83, 1.83, 2.78, 2.78, 1.83, 1.83, 2.78, 2.78] # heter_app 1
#input_file = "nas_4_0.08.out"
def get_stat (file_name):
result_file = open (file_name, 'r')
result = result_file.read()
result_file.close()
return result
def get_active_cycles (stat):
searchObj = re.search(r'(?:"active_cycles":\[(.*?)])',stat)
splitObj = re.split('\W+',searchObj.group(1))
active_cycles = splitObj
return active_cycles
def get_insns_persrc (stat):
searchObj = re.search(r'(?:"insns_persrc":\[(.*?)])',stat)
splitObj = re.split('\W+',searchObj.group(1))
insns_persrc = splitObj
return insns_persrc
def get_est_sd (stat):
est_sd = []
searchObj = re.search(r'(?:"estimated_slowdown":\[(.*)],\n"L1miss_persrc_period")',stat,re.DOTALL)
searchList = re.finditer(r'(?:\{(.*)\},*)',searchObj.group(1))
for item in searchList:
splitObj = re.split(',',item.group(1))
sd_per_core = []
for i in splitObj:
if i is '' or i is '0':
continue
sd_per_core.append(float(i));
est_sd = est_sd + [sd_per_core]
return est_sd
def get_est_L1miss (stat):
l1miss = []
searchObj = re.search(r'(?:"L1miss_persrc_period":\[(.*)],\n"noc_stc")',stat,re.DOTALL)
searchList = re.finditer(r'(?:\{(.*)\},*)',searchObj.group(1))
for item in searchList:
splitObj = re.split(',',item.group(1))
l1miss_per_period = []
for i in splitObj:
if i is '' or i is '0':
continue
l1miss_per_period.append(float(i));
l1miss = l1miss + [l1miss_per_period]
return l1miss
def cmp_ipc (insns_persrc, active_cycle):
ipc = []
for i,j in zip (insns_persrc, active_cycle):
ipc = ipc + [ round (float (i) / float(j),3)]
#print ipc
return ipc
# compute mpki
def cmp_mpki (stat):
insn_persrc = get_insns_persrc(stat)
l1_miss_persrc = get.get_l1miss(stat_shared)
#print l1_miss_persrc
#print insn_persrc
mpki = []
for i,j in zip (insn_persrc, l1_miss_persrc):
mpki = mpki + [round(float(j)/float(i)*1000,3)]
#print "MPKI:"
#print mpki
return mpki
# compute the application avg of some metric for each type of application
def cmp_app_avg (metric):
# assuming 4 applications
num_element = len(metric)
loop_index = 0
avg = [0]*4
while (loop_index < num_element / 4):
avg [0] = avg [0] + float(metric [loop_index*4])
avg [1] = avg [1] + float(metric [loop_index*4+1])
avg [2] = avg [2] + float(metric [loop_index*4+2])
avg [3] = avg [3] + float(metric [loop_index*4+3])
loop_index = loop_index + 1
avg[0] = round(avg[0]/(num_element/4),3)
avg[1] = round(avg[1]/(num_element/4),3)
avg[2] = round(avg[2]/(num_element/4),3)
avg[3] = round(avg[3]/(num_element/4),3)
return avg
# compute weighted speedup
def cmp_ws (ipc_alone, ipc_share):
if len(ipc_alone) != len(ipc_share):
raise Exception ("not enough ipc element")
ws = 0
for i,j in zip (ipc_alone, ipc_share):
if i == 0:
raise Exception ("ipc_alone is 0")
ws = ws + j/i
return ws
#compute harmonic speedup
def cmp_hs (ipc_alone, ipc_share):
if len(ipc_alone) != len(ipc_share):
raise Exception ("not enough ipc element")
temp = 0
for i,j in zip (ipc_alone, ipc_share):
if j == 0:
raise Exception ("ipc_share is 0")
temp = temp + i/j
if temp == 0:
raise Exception ("temp in cmp_hs() is 0")
hs = len (ipc_share) / temp
return hs
#compute the actual slowdown
def cmp_real_sd (ipc_alone, ipc_share):
slowdown = []
for i,j in zip (ipc_alone, ipc_share):
slowdown = slowdown + [round(i/j,3)]
print "Each app slowdown:"
print slowdown
return slowdown
#compute unfairness
def cmp_uf (ipc_alone, ipc_share):
if len(ipc_alone) != len(ipc_share):
raise Exception ("not enough ipc element")
slowdown = cmp_real_sd(ipc_alone, ipc_share)
#unfairness = max (slowdown) - min (slowdown)
print "Avg app slowdown"
print cmp_app_avg(slowdown)
unfairness = max (slowdown)
return unfairness
#work_dir = str(input('Please input your work dir: '))
#input_file = str(input('Please input the file name (*.out): ' ))
test_file_name = work_dir + "/" + input_file
stat_shared = get_stat (test_file_name)
act_t_shared = get_active_cycles(stat_shared)
insns_shared = get_insns_persrc(stat_shared)
ipc_shared = cmp_ipc (insns_shared, act_t_shared)
mpki=cmp_mpki(stat_shared)
print "Avg app mpki"
print cmp_app_avg(mpki)
#est_sd = get_est_sd(stat_shared)
#l1_miss = get_est_L1miss(stat_shared)
#plt.figure(1)
#plt.subplot(2,1,1)
#my_print.print_period(est_sd)
#plt.subplot(2,1,2)
#my_print.print_period(l1_miss)
#plt.show() # enable to show the plot
#print est_sd
ws = cmp_ws (ipc_alone, ipc_shared)
hs = cmp_hs (ipc_alone, ipc_shared)
uf = cmp_uf (ipc_alone, ipc_shared)
print "Weighted Speedup = " + str("%.3f" % ws)
print "Harmonic Speedup = " + str("%.3f" % hs)
print "Unfairness = " + str("%.3f" % uf)
| 3,485 | 0 | 288 |
6c8f3c447a3418d5e3deacb73b0d781480bd55fa | 1,291 | py | Python | slybot/slybot/linkextractor/ecsv.py | hackrush01/portia | c7414034361fecada76e1693666674c274b0421a | [
"BSD-3-Clause"
] | 6,390 | 2015-01-01T17:05:13.000Z | 2022-03-31T08:20:12.000Z | slybot/slybot/linkextractor/ecsv.py | hackrush01/portia | c7414034361fecada76e1693666674c274b0421a | [
"BSD-3-Clause"
] | 442 | 2015-01-04T17:32:20.000Z | 2022-03-15T21:21:23.000Z | slybot/slybot/linkextractor/ecsv.py | hackrush01/portia | c7414034361fecada76e1693666674c274b0421a | [
"BSD-3-Clause"
] | 1,288 | 2015-01-09T05:54:20.000Z | 2022-03-31T03:21:51.000Z | from __future__ import absolute_import
import csv
from six import string_types, StringIO, PY2
from scrapy.link import Link
from .base import BaseLinkExtractor
# see http://docs.python.org/2/library/csv.html#csv-fmt-params
_FORMAT_PARAMETERS = (
('delimiter', ','),
('quotechar', '"'),
('doublequote', True),
('escapechar', None),
('lineterminator', '\r\n'),
('skipinitialspace', False),
('strict', False),
)
| 32.275 | 69 | 0.605732 | from __future__ import absolute_import
import csv
from six import string_types, StringIO, PY2
from scrapy.link import Link
from .base import BaseLinkExtractor
# see http://docs.python.org/2/library/csv.html#csv-fmt-params
_FORMAT_PARAMETERS = (
('delimiter', ','),
('quotechar', '"'),
('doublequote', True),
('escapechar', None),
('lineterminator', '\r\n'),
('skipinitialspace', False),
('strict', False),
)
class CsvLinkExtractor(BaseLinkExtractor):
def __init__(self, column=0, **kwargs):
self.fmtparams = dict((key, kwargs.pop(key, default))
for key, default in _FORMAT_PARAMETERS)
if PY2:
for key, val in self.fmtparams.items():
if isinstance(val, unicode):
self.fmtparams[key] = val.encode()
super(CsvLinkExtractor, self).__init__(**kwargs)
self.allowed_schemes = [x for x in self.allowed_schemes
if x and isinstance(x, string_types)]
self.column = column
def _extract_links(self, response):
buff = StringIO(response.text)
reader = csv.reader(buff, **self.fmtparams)
for row in reader:
if len(row) > self.column:
yield Link(row[self.column])
| 754 | 21 | 76 |
b9fa5361dc7fe07bf7df8f28be4364d5c13ef73e | 4,251 | py | Python | tests/unit2/test_sprite_list.py | mlr07/arcade | 70a7046f094a05be1bf0935edeff0ccfb391e01c | [
"MIT"
] | null | null | null | tests/unit2/test_sprite_list.py | mlr07/arcade | 70a7046f094a05be1bf0935edeff0ccfb391e01c | [
"MIT"
] | null | null | null | tests/unit2/test_sprite_list.py | mlr07/arcade | 70a7046f094a05be1bf0935edeff0ccfb391e01c | [
"MIT"
] | null | null | null | from array import array
import struct
import pytest
import arcade
def test_setitem(ctx):
"""Testing __setitem__"""
num_sprites = 10
spritelist = make_named_sprites(num_sprites)
# Assign the same item to the same slot
for i in range(num_sprites):
spritelist[i] = spritelist[i]
assert spritelist[i] == spritelist[i]
# Try to duplicate a sprite
with pytest.raises(Exception):
spritelist[0] = spritelist[1]
# Assign new sprite
spritelist[0] = arcade.SpriteSolidColor(16, 16, arcade.color.RED)
spritelist.insert(0, arcade.SpriteSolidColor(16, 16, arcade.color.BLUE))
spritelist.draw()
def test_spritelist_lazy():
"""Test lazy creation of spritelist"""
spritelist = arcade.SpriteList(lazy=True, use_spatial_hash=True)
assert spritelist._sprite_pos_buf == None
assert spritelist._geometry == None
for x in range(100):
spritelist.append(
arcade.Sprite(":resources:images/items/coinGold.png", center_x=x * 64)
)
assert len(spritelist) == 100
assert spritelist.spatial_hash
| 29.93662 | 108 | 0.673253 | from array import array
import struct
import pytest
import arcade
def make_named_sprites(amount):
spritelist = arcade.SpriteList()
sprites = []
for i in range(amount):
c = i + 1
sprite = arcade.SpriteSolidColor(16, 16, (c, c, c, 1))
sprite.name = i
sprites.append(sprite)
spritelist.extend(sprites)
return spritelist
def test_it_can_extend_a_spritelist():
spritelist = arcade.SpriteList()
sprites = []
for i in range(10):
sprites.append(arcade.Sprite())
spritelist.extend(sprites)
assert len(spritelist) == 10
def test_it_can_insert_in_a_spritelist():
spritelist = make_named_sprites(2)
sprite = arcade.Sprite()
sprite.name = 2
spritelist.insert(1, sprite)
assert [s.name for s in spritelist] == [0, 2, 1]
# New slot was added in position 2
assert [spritelist.sprite_slot[s] for s in spritelist] == [0, 2, 1]
# Index buffer should refer to the slots in the same order
assert list(spritelist._sprite_index_data[:3]) == [0, 2, 1]
def test_it_can_reverse_a_spritelist():
spritelist = make_named_sprites(3)
spritelist.reverse()
assert [s.name for s in spritelist] == [2, 1, 0]
# The slot indices doesn't change, but the position in the spritelist do
assert [spritelist.sprite_slot[s] for s in spritelist] == [2, 1, 0]
assert list(spritelist._sprite_index_data[:3]) == [2, 1, 0]
def test_it_can_pop_at_a_given_index():
spritelist = make_named_sprites(3)
assert spritelist.pop(1).name == 1
assert [s.name for s in spritelist] == [0, 2]
# Indices will not change internally
assert [spritelist.sprite_slot[s] for s in spritelist] == [0, 2]
def test_setitem(ctx):
"""Testing __setitem__"""
num_sprites = 10
spritelist = make_named_sprites(num_sprites)
# Assign the same item to the same slot
for i in range(num_sprites):
spritelist[i] = spritelist[i]
assert spritelist[i] == spritelist[i]
# Try to duplicate a sprite
with pytest.raises(Exception):
spritelist[0] = spritelist[1]
# Assign new sprite
spritelist[0] = arcade.SpriteSolidColor(16, 16, arcade.color.RED)
spritelist.insert(0, arcade.SpriteSolidColor(16, 16, arcade.color.BLUE))
spritelist.draw()
def test_can_shuffle(ctx):
num_sprites = 10
spritelist = make_named_sprites(num_sprites)
# Shuffle multiple times
for _ in range(100):
spritelist.shuffle()
spritelist.draw()
# Ensure the index buffer is referring to the correct slots
# Raw buffer from OpenGL
index_data = struct.unpack(f"{num_sprites}i", spritelist._sprite_index_buf.read()[:num_sprites * 4])
for i, sprite in enumerate(spritelist):
# Check if slots are updated
slot = spritelist.sprite_slot[sprite]
assert slot == spritelist._sprite_index_data[i]
assert slot == index_data[i]
def test_spritelist_lazy():
"""Test lazy creation of spritelist"""
spritelist = arcade.SpriteList(lazy=True, use_spatial_hash=True)
assert spritelist._sprite_pos_buf == None
assert spritelist._geometry == None
for x in range(100):
spritelist.append(
arcade.Sprite(":resources:images/items/coinGold.png", center_x=x * 64)
)
assert len(spritelist) == 100
assert spritelist.spatial_hash
def test_sort(ctx):
s1 = arcade.SpriteSolidColor(10, 10, arcade.color.WHITE)
s1.set_position(100, 100)
s2 = arcade.SpriteSolidColor(10, 10, arcade.color.WHITE)
s2.set_position(110, 100)
s3 = arcade.SpriteSolidColor(10, 10, arcade.color.WHITE)
s3.set_position(120, 100)
sprites_v1 = [s1, s2, s3]
sprites_v2 = [s3, s2, s1]
spritelist = arcade.SpriteList()
spritelist.extend(sprites_v1)
spritelist.draw()
assert spritelist.sprite_list == sprites_v1
spritelist.sort(key=lambda x: x.position[0], reverse=True)
assert spritelist.sprite_list == sprites_v2
assert spritelist._sprite_index_data[0:3] == array("f", [2, 1, 0])
spritelist.sort(key=lambda x: x.position[0])
assert spritelist.sprite_list == sprites_v1
assert spritelist._sprite_index_data[0:3] == array("f", [0, 1, 2])
| 2,987 | 0 | 161 |
ec6c9ce6553ffbcbcafb4ba7323398e1655d6082 | 5,835 | py | Python | chibi_gob_mx_elasticsearch/cli.py | dem4ply/chibi_gob_mx_elasticsearch | 7b4a5b35ad79817db0f5d5cc6705f085b4708a1d | [
"WTFPL"
] | null | null | null | chibi_gob_mx_elasticsearch/cli.py | dem4ply/chibi_gob_mx_elasticsearch | 7b4a5b35ad79817db0f5d5cc6705f085b4708a1d | [
"WTFPL"
] | null | null | null | chibi_gob_mx_elasticsearch/cli.py | dem4ply/chibi_gob_mx_elasticsearch | 7b4a5b35ad79817db0f5d5cc6705f085b4708a1d | [
"WTFPL"
] | null | null | null | # -*- coding: utf-8 -*-
"""Console script for chibi_gob_mx_elasticsearch."""
import random
import argparse
import sys
import argparse
import sys
from chibi.config import basic_config
from chibi.file import Chibi_path
from chibi.config import configuration
from chibi_gob_mx.open_data import Open_data
from chibi_gob_mx.open_data.data_set import Data_set as Data_set_site
from chibi_gob_mx_elasticsearch.models import Dataset, Resource
from elasticsearch_dsl import Q
import logging
import time
logger = logging.getLogger( 'chibi_gob_mx_elasticsearch.cli' )
parser = argparse.ArgumentParser(
description=(
"descargar datos de articulos de "
"https://datos.gob.mx hacia elasticsearhc" ),
fromfile_prefix_chars='@'
)
parser.add_argument(
"--log_level", dest="log_level", default="INFO",
help="nivel de log",
)
parser.add_argument(
"--reversed", '-r', dest="reversed", action="store_true",
help="escanea en alrevez", )
parser.add_argument(
"--random", dest="random", action="store_true",
help="escanea aleatoriamente", )
parser.add_argument(
"--resources", dest="do_resources", action="store_true",
help="formateara los resources de los dataset", )
parser.add_argument(
"--scan_no_ok", dest="scan_no_ok", action="store_true",
help="reescanea los que no se encontraron", )
parser.add_argument(
"--config_site", type=Chibi_path, dest="config_site",
help="python, yaml o json archivo de config"
)
if __name__ == "__main__":
sys.exit(main()) # pragma: no cover
| 34.94012 | 79 | 0.53916 | # -*- coding: utf-8 -*-
"""Console script for chibi_gob_mx_elasticsearch."""
import random
import argparse
import sys
import argparse
import sys
from chibi.config import basic_config
from chibi.file import Chibi_path
from chibi.config import configuration
from chibi_gob_mx.open_data import Open_data
from chibi_gob_mx.open_data.data_set import Data_set as Data_set_site
from chibi_gob_mx_elasticsearch.models import Dataset, Resource
from elasticsearch_dsl import Q
import logging
import time
logger = logging.getLogger( 'chibi_gob_mx_elasticsearch.cli' )
parser = argparse.ArgumentParser(
description=(
"descargar datos de articulos de "
"https://datos.gob.mx hacia elasticsearhc" ),
fromfile_prefix_chars='@'
)
parser.add_argument(
"--log_level", dest="log_level", default="INFO",
help="nivel de log",
)
parser.add_argument(
"--reversed", '-r', dest="reversed", action="store_true",
help="escanea en alrevez", )
parser.add_argument(
"--random", dest="random", action="store_true",
help="escanea aleatoriamente", )
parser.add_argument(
"--resources", dest="do_resources", action="store_true",
help="formateara los resources de los dataset", )
parser.add_argument(
"--scan_no_ok", dest="scan_no_ok", action="store_true",
help="reescanea los que no se encontraron", )
parser.add_argument(
"--config_site", type=Chibi_path, dest="config_site",
help="python, yaml o json archivo de config"
)
def prepare():
#Dataset._index.delete()
wait = False
if not Dataset._index.exists():
wait = True
logger.info( 'creando el indice para dataset' )
Dataset.init()
if not Resource._index.exists():
wait = True
logger.info( 'creando el indice para resources' )
Resource.init()
if wait:
time.sleep( 10 )
def main():
args = parser.parse_args()
basic_config( args.log_level )
if args.config_site:
load_config( args.config_site )
prepare()
data = Open_data()
if args.do_resources:
resources_count = 0
for dataset in Dataset.search().scan():
resources_count += len( dataset.resources )
for resource in dataset.resources:
if not Resource.url_is_scaned( resource.download_link ):
model = Resource(
title=resource.title, description=resource.description,
url=resource.download_link, tags=dataset.tags,
metadata=dataset.metadata )
model.save()
logger.info( f"count dataset: {Dataset.search().count()}" )
logger.info( f"count resources: {Resource.search().count()}" )
logger.info( f"total resources: {resources_count}" )
elif args.scan_no_ok:
configuration.loggers.elasticsearch.level = 'INFO'
no_ok = ~Q( 'term', status='ok' )
for model in Dataset.search().filter( no_ok ).scan():
try:
if model.status == 'no_ok':
dataset = Data_set_site( model.url )
model.resources = dataset.info.resources
model.metadata = dataset.metadata
model.update(
metadata=dataset.metadata, **dataset.info,
status='missing activity' )
elif model.status == 'missing activity':
model.activity = dataset.info.activity.info
model.update(
activity=dataset.activity.info, status='ok' )
else:
logger.warning(
'intentando procesar un status '
'desconocido "{model.status}"' )
except KeyboardInterrupt:
raise
except:
pass
else:
if args.random:
pages = list( data.pages )
random.shuffle( pages )
for page in pages:
for dataset in page.datasets:
if not Dataset.url_is_scaned( dataset.url ):
try:
model = Dataset(
url=dataset.url,
metadata=dataset.metadata,
activity=dataset.activity.info,
**dataset.info, status='ok' )
model.save()
logger.info( f'guardado {dataset.url}' )
except Exception as e:
model = Dataset( url=dataset.url, status='no_ok' )
model.save()
logger.exception( f'saltando {dataset.url}' )
else:
logger.error( f'encontrado {dataset.url}' )
else:
for dataset in data:
model = Dataset.url_is_scaned( dataset.url )
if not model:
try:
model = Dataset(
url=dataset.url,
metadata=dataset.metadata,
activity=dataset.activity.info,
**dataset.info, status='ok' )
model.save()
except Exception as e:
model = Dataset( url=dataset.url, status='no_ok' )
model.save()
logger.error( f'saltando {dataset.url}' )
else:
logger.error( f'encontrado {dataset.url}' )
continue
model.resources = dataset.info.resources
model.save()
return 0
if __name__ == "__main__":
sys.exit(main()) # pragma: no cover
| 4,244 | 0 | 46 |
64baa5dcca37c50df6335c3f376ec65a202444ae | 2,116 | py | Python | tests/test_buyback_two_hop.py | speraxdev/USDs | 8ff2dfaf2173fadacf49619473d681707fc8507c | [
"MIT"
] | null | null | null | tests/test_buyback_two_hop.py | speraxdev/USDs | 8ff2dfaf2173fadacf49619473d681707fc8507c | [
"MIT"
] | null | null | null | tests/test_buyback_two_hop.py | speraxdev/USDs | 8ff2dfaf2173fadacf49619473d681707fc8507c | [
"MIT"
] | null | null | null | import pytest
from brownie import Wei, Contract, reverts, interface
from brownie.test import given, strategy
import time
| 21.814433 | 72 | 0.5931 | import pytest
from brownie import Wei, Contract, reverts, interface
from brownie.test import given, strategy
import time
def test_swap(sperax, owner_l2, weth):
(
spa,
usds_proxy,
core_proxy,
vault_proxy,
oracle_proxy,
strategies,
buybacks,
bancor
) = sperax
(
two_hops_buyback,
three_hops_buyback
) = buybacks
amount = 10000
balance1 = usds_proxy.balanceOf(vault_proxy.address)
weth_erc20 = interface.IERC20(weth.address)
weth_erc20.approve(vault_proxy.address, amount, {'from': owner_l2})
weth_erc20.transfer(vault_proxy.address, amount, {'from': owner_l2})
weth_erc20.transfer(
two_hops_buyback.address,
amount, {'from': vault_proxy}
)
two_hops_buyback.swap(
weth_erc20.address,
amount,
{'from': vault_proxy}
)
time.sleep(10)
balance2 = usds_proxy.balanceOf(vault_proxy.address)
transferedBalance = balance2 - balance1
assert transferedBalance > 0
def test_swap_unsuccesful_call_not_vault(sperax, owner_l2, weth):
(
spa,
usds_proxy,
core_proxy,
vault_proxy,
oracle_proxy,
strategies,
buybacks,
bancor
) = sperax
(
two_hops_buyback,
three_hops_buyback
) = buybacks
amount = 10000
weth_erc20 = interface.IERC20(weth.address)
with reverts("Caller is not the Vault"):
two_hops_buyback.swap(
weth_erc20.address,
amount,
{'from': owner_l2}
)
def test_swap_unsuccesful_call_token_not_supported(sperax):
(
spa,
usds_proxy,
core_proxy,
vault_proxy,
oracle_proxy,
strategies,
buybacks,
bancor
) = sperax
(
two_hops_buyback,
three_hops_buyback
) = buybacks
amount = 10000
with reverts("inputToken not supported"):
two_hops_buyback.swap(
spa.address,
amount,
{'from': vault_proxy}
) | 1,924 | 0 | 69 |
c1cf043a5b16063a92106928d163cd1776b47fcb | 4,657 | py | Python | datasets/dataset_utils.py | suddhu/MinkLoc3D | 11a2d2d3a96e74133b4aff635d456e22133babcd | [
"MIT"
] | null | null | null | datasets/dataset_utils.py | suddhu/MinkLoc3D | 11a2d2d3a96e74133b4aff635d456e22133babcd | [
"MIT"
] | null | null | null | datasets/dataset_utils.py | suddhu/MinkLoc3D | 11a2d2d3a96e74133b4aff635d456e22133babcd | [
"MIT"
] | null | null | null | # Author: Jacek Komorowski
# Warsaw University of Technology
import numpy as np
import torch
from torch.utils.data import DataLoader
import MinkowskiEngine as ME
from datasets.tactileDataset import tactileDataset
from datasets.augmentation import TrainCloudTransform, TrainCloudSetTransform
from datasets.samplers import BatchSampler
from MinkLoc3D.utils import MinkLocParams
def make_dataloaders(params: MinkLocParams):
"""
Create training and validation dataloaders that return groups of k=2 similar elements
:param train_params:
:param model_params:
:return:
"""
datasets = make_datasets(params)
dataloaders = {}
train_sampler = BatchSampler(datasets['train'], batch_size=params.batch_size,
batch_size_limit=params.batch_size_limit,
batch_expansion_rate=params.batch_expansion_rate, max_batches = params.max_batches)
# Collate function collates items into a batch and applies a 'set transform' on the entire batch
train_collate_fn = make_collate_fn(datasets['train'], params.model_params.mink_quantization_size)
dataloaders['train'] = DataLoader(datasets['train'], batch_sampler=train_sampler, collate_fn=train_collate_fn,
num_workers=params.num_workers, pin_memory=True)
if 'val' in datasets:
val_sampler = BatchSampler(datasets['val'], batch_size=params.val_batch_size, max_batches = params.max_batches)
# Collate function collates items into a batch and applies a 'set transform' on the entire batch
# Currently validation dataset has empty set_transform function, but it may change in the future
val_collate_fn = make_collate_fn(datasets['val'], params.model_params.mink_quantization_size)
dataloaders['val'] = DataLoader(datasets['val'], batch_sampler=val_sampler, collate_fn=val_collate_fn,
num_workers=params.num_workers, pin_memory=True)
return dataloaders
| 46.108911 | 142 | 0.708825 | # Author: Jacek Komorowski
# Warsaw University of Technology
import numpy as np
import torch
from torch.utils.data import DataLoader
import MinkowskiEngine as ME
from datasets.tactileDataset import tactileDataset
from datasets.augmentation import TrainCloudTransform, TrainCloudSetTransform
from datasets.samplers import BatchSampler
from MinkLoc3D.utils import MinkLocParams
def make_datasets(params: MinkLocParams):
# Create training and validation datasets
datasets = {}
train_transform = TrainCloudTransform(params.aug_mode)
train_set_transform = TrainCloudSetTransform(params.aug_mode)
datasets['train'] = tactileDataset(params.dataset_folder, params.train_file, transform=train_transform, set_transform=train_set_transform)
if params.val_file is not None:
datasets['val'] = tactileDataset(params.val_folder, params.val_file, transform=None, set_transform=None)
return datasets
def make_collate_fn(dataset: tactileDataset, mink_quantization_size=None):
# set_transform: the transform to be applied to all batch elements
def collate_fn(data_list):
# Constructs a batch object len(data_list) = batch_size
labels = [e['ndx'] for e in data_list]
# Compute positives and negatives mask
# positives: checks if each label is in the set of positives of the rest
positives_mask = [[in_sorted_array(e, dataset.queries[label].positives) for e in labels] for label in labels]
negatives_mask = [[in_sorted_array(e, dataset.queries[label].negatives) for e in labels] for label in labels]
# print("{}".format(dataset.queries[labels[0]].object))
positives_mask = torch.tensor(positives_mask)
negatives_mask = torch.tensor(negatives_mask)
# Returns (batch_size, n_points, 3) tensor and positives_mask and
# negatives_mask which are batch_size x batch_size boolean tensors
result = {'positives_mask': positives_mask, 'negatives_mask': negatives_mask}
clouds = [e['cloud'] for e in data_list]
clouds = torch.stack(clouds, dim=0) # Produces (batch_size, n_points, 3) tensor
if dataset.set_transform is not None:
# Apply the same transformation on all dataset elements
clouds = dataset.set_transform(clouds)
coords = [ME.utils.sparse_quantize(coordinates=e, quantization_size=mink_quantization_size)
for e in clouds]
coords = ME.utils.batched_coordinates(coords)
# Assign a dummy feature equal to 1 to each point
# Coords must be on CPU, features can be on GPU - see MinkowskiEngine documentation
feats = torch.ones((coords.shape[0], 1), dtype=torch.float32)
result['coords'] = coords
result['features'] = feats
return result
return collate_fn
def make_dataloaders(params: MinkLocParams):
"""
Create training and validation dataloaders that return groups of k=2 similar elements
:param train_params:
:param model_params:
:return:
"""
datasets = make_datasets(params)
dataloaders = {}
train_sampler = BatchSampler(datasets['train'], batch_size=params.batch_size,
batch_size_limit=params.batch_size_limit,
batch_expansion_rate=params.batch_expansion_rate, max_batches = params.max_batches)
# Collate function collates items into a batch and applies a 'set transform' on the entire batch
train_collate_fn = make_collate_fn(datasets['train'], params.model_params.mink_quantization_size)
dataloaders['train'] = DataLoader(datasets['train'], batch_sampler=train_sampler, collate_fn=train_collate_fn,
num_workers=params.num_workers, pin_memory=True)
if 'val' in datasets:
val_sampler = BatchSampler(datasets['val'], batch_size=params.val_batch_size, max_batches = params.max_batches)
# Collate function collates items into a batch and applies a 'set transform' on the entire batch
# Currently validation dataset has empty set_transform function, but it may change in the future
val_collate_fn = make_collate_fn(datasets['val'], params.model_params.mink_quantization_size)
dataloaders['val'] = DataLoader(datasets['val'], batch_sampler=val_sampler, collate_fn=val_collate_fn,
num_workers=params.num_workers, pin_memory=True)
return dataloaders
def in_sorted_array(e: int, array: np.ndarray) -> bool:
pos = np.searchsorted(array, e)
if pos == len(array) or pos == -1:
return False
else:
return array[pos] == e
| 2,574 | 0 | 69 |