content stringlengths 7 1.05M |
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# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def rightSideView(self, root: TreeNode) -> List[int]:
res = []
if not root:
return res
levelNode = [root]
while levelNode:
res.append(levelNode[-1].val)
levelNodeNum = len(levelNode)
for i in range(levelNodeNum):
if levelNode[0].left:
levelNode.append(levelNode[0].left)
if levelNode[0].right:
levelNode.append(levelNode[0].right)
levelNode.pop(0)
return res
|
rz = int(input('Digite a razao da PA: '))
n = int(input('Digite o primeiro número da PA: '))
for i in range(10):
print(n)
n += rz |
print(True)
print(False, "\n\n") #booleans have to be capitalized or they return false
a =3
b =5
print(a==b) #a is equal to b equal False
print(a!=b) #a is not equal to b equal True
print(a<b) #less than
print(a>b, "\n") #greater than
print(bool(28))
print(bool(-2.1562))
print(bool(0), "\n")
#with strings, trivial values are false and vice versa
print(bool('turing'))
print(bool(' '))
print(bool(''), "\n")
print(str(True))
print(str(False), "\n")
print(int(True)) #1 is true and 0 is false
print(int(False))
print(10 * False) |
#!/usr/bin/env python3
# https://stackoverflow.com/questions/287871/how-to-print-colored-text-in-terminal-in-python
class Terminal:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
@staticmethod
def warning(message):
print(Terminal.WARNING + message + Terminal.ENDC)
@staticmethod
def error(message):
print(Terminal.FAIL + message + Terminal.ENDC)
|
A = [[2, 5, 11],
[-9, 4, 6],
[4, 7, 12]]
soma=0
for linha in range(len(A)): # linhas
for coluna in range(len(A[0])): #colunas
#soma+=A[linha][coluna]
soma = soma + A[linha][coluna]
print ("Soma:", soma) |
class PostprocessingPattern:
def __init__(self, condition, success_value=True, condition_args=None):
"""A PostprocessingPattern defines a single condition to check against an entity.
condition (function): A function to call on an entity. If the result of
the function call equals success_value, then the pattern passes.
success_value: The value which should be returned by condition(ent)
in order for the pattern to pass. Default True.
condition_args (function or None): Optional positional arguments to call
with condition(ent, *condition_args). If None, will just call
condition(ent). Default None.
"""
self.condition = condition
self.success_value = success_value
self.condition_args = condition_args
def __call__(self, ent):
if self.condition_args is None:
result = self.condition(ent)
else:
result = self.condition(ent, *self.condition_args)
# print(result, self.success_value)
return result == self.success_value
# if result == self.success_value:
# return True
# return False |
A = float(input('Qual a altura da sua parede em metros?'))
L = float(input('Qual a largura da sua parede em metros?'))
Ar = float(L*A)
T = float(Ar/2)
print('A sua parede tem {}m²\n e a quantidade de tinta necessária para pintar a parede é:{} litro/s de tinta'.format(Ar, T))
|
service_broadcast_settings_schema = {
"$schema": "http://json-schema.org/draft-04/schema#",
"description": "Set a services broadcast settings",
"type": "object",
"title": "Set a services broadcast settings",
"properties": {
"broadcast_channel": {"enum": ["operator", "test", "severe", "government"]},
"service_mode": {"enum": ["training", "live"]},
"provider_restriction": {"enum": ["three", "o2", "vodafone", "ee", "all"]}
},
"required": ["broadcast_channel", "service_mode", "provider_restriction"]
}
|
sims_pre = []
with open('lpips_sim_waymo.txt') as f:
data = f.read()
sims_pre = data.split('(')[1:]
sims_post = []
for sim in sims_pre:
sim = sim.split('): ')
img1 = sim[0].split(', ')[0]
img2 = sim[0].split(', ')[1]
val = sim[1]
sims_post.append(img1+','+img2+','+val)
with open('lpips_sim_waymo_processed.txt', 'w+') as o:
for sim in sims_post:
o.write(sim+'\n')
|
class Solution:
# @param head, a ListNode
# @return a boolean
def hasCycle(self, head):
if head == None or head.next == None:
return False
slow = fast = head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow == fast:
return True
return False
|
LIGHT = "#"
DARK = "."
iterations = 50
padding = iterations * 2
with open('day20/input.txt') as f:
lines = f.readlines()
map = lines[0].strip()
lines.pop(0)
lines.pop(0)
image = []
h = len(lines)
w = len(lines[0].strip())
def blank():
q = []
for i in range(2 * padding + h):
qq = []
for j in range(2 * padding + w):
qq.append(DARK)
q.append(qq)
return q
image = blank()
for r in range(h):
for c in range(w):
image[r + padding][c + padding] = lines[r][c]
def dump():
for row in range(len(image)):
for col in range(len(image[0])):
print(image[row][col], end="")
print()
print()
# dump()
for q in range(iterations):
buf = blank()
for row in range(1, len(image) -1):
for col in range(1, len(image[0]) -1):
s = ""
for rr in range(row-1, row+2):
for cc in range(col-1, col+2):
s += "0" if image[rr][cc] == DARK else "1"
s10 = int(s, 2)
buf[row][col] = map[s10]
image = buf
# dump()
count = 0
for row in range(padding // 2, len(image) - padding // 2):
for col in range(padding // 2, len(image) - padding // 2):
if image[row][col] == LIGHT:
count += 1
print(count)
|
class Student:
name = ""
def __init__(self, name,age=None,num=None):
self.age = age
self.name = name
if num is not None:
self.num = num
print(Student.__name__)
print(Student.__base__)
print(Student.__module__)
print(Student.__doc__)
print(Student.__dict__)
print(Student.__dir__)
class Teacher:
def __init__(self):
self.name = "test"
teacher = Teacher()
teacher.name = "mengrui"
teacher.age = 10
teacher.num = 13452
print(teacher.name)
print(teacher.age)
print(teacher.num)
teacher_other =Teacher()
print(teacher_other.age)
class Product:
def __init__(self):
self.name = "maquillage"
product = Product()
product.age = 20
print(product.age)
del product.age
print(product.age)
class OnlineData:
__slots__ = ('progress','num')
online_data = OnlineData()
online_data.progress = 1
print(online_data.progress)
online_data.description = "在线数据"
|
print('Hello World')
def circum(r):
""" a docstring for circum but also not... """
return 2*3.14*r
def area(r):
"""een conflicterende docstring MIJN CODE IS BELANGRIJKER"""
return 3.14*r**2
print('Lets kill this code')
|
def computador_escolhe_jogada(n, m):
computador_remove = 1
while computador_remove != m:
if (n - computador_remove) % (m+1) == 0:
return computador_remove
else:
computador_remove += 1
return computador_remove
def usuario_escolhe_jogada(n, m):
jogada_valida = False
while not jogada_valida:
jogador_remove = int(input('Quantas peças você vai tirar? '))
if jogador_remove > m or jogador_remove < 1:
print()
print('Oops! Jogada inválida! Tente de novo.')
print()
else:
jogada_valida = True
return jogador_remove
def campeonato():
numero_rodada = 1
while numero_rodada <= 3:
print()
print('**** Rodada', numero_rodada, '****')
print()
partida()
numero_rodada += 1
print()
print('Placar: Você 0 X 3 Computador')
def partida():
n = int(input('Quantas peças? '))
m = int(input('Limite de peças por jogada? '))
vez_pc = False
if n % (m+1) == 0:
print()
print('Voce começa!')
else:
print()
print('Computador começa!')
vez_pc = True
while n > 0:
if vez_pc:
computador_remove = computador_escolhe_jogada(n, m)
n = n - computador_remove
if computador_remove == 1:
print()
print('O computador tirou uma peça')
else:
print()
print('O computador tirou', computador_remove, 'peças')
vez_pc = False
else:
jogador_remove = usuario_escolhe_jogada(n, m)
n = n - jogador_remove
if jogador_remove == 1:
print()
print('Você tirou uma peça')
else:
print()
print('Você tirou', jogador_remove, 'peças')
vez_pc = True
if n == 1:
print('Agora resta apenas uma peça no tabuleiro.')
print()
else:
if n != 0:
print('Agora restam,', n, 'peças no tabuleiro.')
print()
print('Fim do jogo! O computador ganhou!')
print('Bem-vindo ao jogo do NIM! Escolha:')
print()
print('1 - para jogar uma partida isolada')
tipo_partida = int(input('2 - para jogar um campeonato '))
if tipo_partida == 2:
print()
print('Voce escolheu um campeonato!')
print()
campeonato()
else:
if tipo_partida == 1:
print()
partida() |
def proteins(strand):
seq = []
codon_map = {
"AUG": "Methionine",
"UUU": "Phenylalanine",
"UUC": "Phenylalanine",
"UUA": "Leucine",
"UUG": "Leucine",
"UCU": "Serine",
"UCC": "Serine",
"UCA": "Serine",
"UCG": "Serine",
"UAU": "Tyrosine",
"UAC": "Tyrosine",
"UGU": "Cysteine",
"UGC": "Cysteine",
"UGG": "Tryptophan",
"UAA": False,
"UAG": False,
"UGA": False,
}
while strand:
codon, strand = strand[0:3], strand[3:]
if codon in codon_map:
if codon_map[codon]:
seq.append(codon_map[codon])
else:
strand = ""
return seq
|
s=input()
d={}
if s in d:
print(s+str(d[s]))
d[s] += 1 |
# This problem was recently asked by Twitter:
# Given a Roman numeral, find the corresponding decimal value. Inputs will be between 1 and 3999.
# Numbers are strings of these symbols in descending order. In some cases, subtractive notation is used to avoid repeated characters.
# The rules are as follows:
# 1.) I placed before V or X is one less, so 4 = IV (one less than 5), and 9 is IX (one less than 10)
# 2.) X placed before L or C indicates ten less, so 40 is XL (10 less than 50) and 90 is XC (10 less than 100).
# 3.) C placed before D or M indicates 100 less, so 400 is CD (100 less than 500), and 900 is CM (100 less than 1000).
class Solution:
def value(self, r):
if r == "I":
return 1
if r == "V":
return 5
if r == "X":
return 10
if r == "L":
return 50
if r == "C":
return 100
if r == "D":
return 500
if r == "M":
return 1000
return -1
def romanToInt(self, s):
# Fill this in.
res = 0
i = 0
while i < len(s):
s1 = self.value(s[i])
if i + 1 < len(s):
s2 = self.value(s[i + 1])
if s1 >= s2:
res = res + s1
i = i + 1
else:
res = res + s2 - s1
i = i + 2
else:
res = res + s1
i = i + 1
return res
n = "MCMX"
print(Solution().romanToInt(n))
# 1910
|
class Relationship(object):
"""Class to represent an relationship between tables
See Also:
:class:`.TableSet`, :class:`.Table`, :class:`.Column`
"""
def __init__(self, parent_column, child_column):
""" Create a relationship
Args:
parent_column (:class:`.Discrete`): Instance of column
in parent table. Must be a Discrete Column
child_column (:class:`.Discrete`): Instance of column in
child table. Must be a Discrete Column
"""
self.tableset = child_column.tableset
self._parent_table_id = parent_column.table.id
self._child_table_id = child_column.table.id
self._parent_column_id = parent_column.id
self._child_column_id = child_column.id
if (parent_column.table.index is not None and parent_column.id != parent_column.table.index):
raise AttributeError("Parent column '%s' is not the index of table %s" % (parent_column, parent_column.table))
def __repr__(self):
ret = u"<Relationship: %s.%s -> %s.%s>" % \
(self._child_table_id, self._child_column_id,
self._parent_table_id, self._parent_column_id)
# encode for python 2
if type(ret) != str:
ret = ret.encode("utf-8")
return ret
def __eq__(self, other):
if not isinstance(other, self.__class__):
return False
return self._parent_table_id == other._parent_table_id and \
self._child_table_id == other._child_table_id and \
self._parent_column_id == other._parent_column_id and \
self._child_column_id == other._child_column_id
@property
def parent_table(self):
"""Parent table object"""
return self.tableset[self._parent_table_id]
@property
def child_table(self):
"""Child table object"""
return self.tableset[self._child_table_id]
@property
def parent_column(self):
"""Instance of column in parent table"""
return self.parent_table[self._parent_column_id]
@property
def child_column(self):
"""Instance of column in child table"""
return self.child_table[self._child_column_id]
|
class Solution:
def findDuplicate(self, paths):
"""
:type paths: List[str]
:rtype: List[List[str]]
"""
ans = collections.defaultdict(list)
for path in paths:
dir_path, *files = path.split()
dir_path += '/'
for file in files:
idx = file.index('(')
ans[file[idx:-1]].append(dir_path + file[:idx])
return list(filter(lambda x : len(x) > 1, ans.values())) |
class NoComponentForEntityError(Exception):
"""Exception raised when an Entity does not have this Component"""
def __init__(self, entity, component_type):
super().__init__("{entity} has no {component_type}".format(
entity=entity, component_type=component_type))
class NotAComponentError(Exception):
"""Exception raised when using a component that doesn't subclass Component
"""
def __init__(self, obj):
super().__init__("{obj} is of type {kind} instead of Component".format(
obj=obj, kind=type(obj).__name__))
|
class Pizza:
name = "Unknown"
def __init__(self) -> None:
pass
def __str__(self) -> str:
return f"{self.name} Pizza"
class NormalPizza(Pizza):
def __init__(self) -> None:
super().__init__()
self.name = "Normal"
class CheesePizza(Pizza):
def __init__(self) -> None:
super().__init__()
self.name = "Cheese"
class ButterPizza(Pizza):
def __init__(self) -> None:
super().__init__()
self.name = "Butter"
class NormalPizzaStockholm(Pizza):
def __init__(self) -> None:
super().__init__()
self.name = "Stockholm Normal"
class CheesePizzaStockholm(Pizza):
def __init__(self) -> None:
super().__init__()
self.name = "Stockholm Cheese"
class AbstractPizzaFactory:
@staticmethod
def create_pizza(type: str):
pass
class GotPizzaFactory(AbstractPizzaFactory):
@staticmethod
def create_pizza(type: str):
if type == "cheese":
return CheesePizza()
if type == "butter":
return ButterPizza()
else:
return NormalPizza()
class StkPizzaFactory(AbstractPizzaFactory):
@staticmethod
def create_pizza(type: str):
if type == "cheese":
return CheesePizzaStockholm()
else:
return NormalPizzaStockholm()
class PizzaStore:
factory: AbstractPizzaFactory
def __init__(self, factory: AbstractPizzaFactory) -> None:
self.factory = factory
def order_pizza(self, type: str) -> Pizza:
pizza = self.factory.create_pizza(type)
# preparing pizza here
# pizza.prepare()
# pizza.bake()
# pizza.cut()
return pizza
def main():
p1 = NormalPizza()
p2 = CheesePizza()
print(p1)
print(p2)
p3 = GotPizzaFactory.create_pizza("cheese")
print(p3)
p4 = GotPizzaFactory.create_pizza("yummy")
print(p4)
store = PizzaStore(StkPizzaFactory())
p = store.order_pizza("cheeses")
print(p)
main()
|
# -*- coding: UTF-8 -*-
logger.info("Loading 1 objects to table cal_calendar...")
# fields: id, name, description, color
loader.save(create_cal_calendar(1,['General', 'Allgemein', 'G\xe9n\xe9ral'],u'',1))
loader.flush_deferred_objects()
|
class Solution:
def isValid(self, s: str) -> bool:
pairs = {'(': ')', '[': ']', '{': '}'}
stack = []
for p in s:
if p in pairs:
stack.append(p)
else:
if not stack or p != pairs[stack.pop()]:
return False
return stack == [] |
"""Apschedular config file."""
class Config(object):
"""Schedular config."""
JOBS = [
{
'id': 'cronjob',
'func': 'app:cron_job',
'trigger': 'cron',
'minute': '*/30',
}
]
SCHEDULER_TIMEZONE = 'UTC'
SCHEDULER_API_ENABLED = True
|
# :information_source: Already implemented via statistics.mean. statistics.mean takes an array as an argument whereas this function takes variadic arguments.
# Returns the average of two or more numbers.
#Takes the sum of all the args and divides it by len(args). The second argument 0.0 in sum is to handle floating point division in python3.
def average(*args):
return sum(args, 0.0) / len(args)
# average(*[1, 2, 3]) # 2.0
#average(1, 2, 3) # 2.0
|
class Error(Exception):
"""Base class for exceptions in this module."""
pass
class AttributeError(Error):
"""Exception raised when the arguments of GeoCAT-comp functions argument
has a mismatch of attributes with other arguments."""
pass
class ChunkError(Error):
"""Exception raised when a Dask array is chunked in a way that is
incompatible with an f2py function."""
pass
class CoordinateError(Error):
"""Exception raised when a GeoCAT-comp function is passed a NumPy array as
an argument without a required coordinate array being passed separately."""
pass
class DimensionError(Error):
"""Exception raised when the arguments of GeoCAT-comp functions argument
has a mismatch of the necessary dimensionality."""
pass
class MetaError(Error):
"""Exception raised when the support for the retention of metadata is not
supported."""
pass
|
vl=input().split()
A=int(vl[0])
B=int(vl[1])
if A==B:
print("Nao sao Multiplos")
elif A%B==0 or B%A==0:
print("Sao Multiplos")
else:
print("Nao sao Multiplos")
|
configs = {
'debug': True,
'db': {
'host': '127.0.0.1',
'port': 3306,
'user': 'www',
'password': 'www',
'db': 'router_scan'
},
'session': {
'secret': 'RouterScan'
}
} |
def print_formatted(number):
l = len(str(bin(number)[2:]))
for i in range(1,number+1):
print(str(i).rjust(l) + ' ' + oct(i)[2:].rjust(l) + ' '
+ hex(i)[2:].upper().rjust(l) + ' ' + bin(i)[2:].rjust(l))
|
# -*- coding: utf-8 -*-
class Main:
LIST_OF_IDS = []
RANDOM_MUSIC_LIST = []
SONG_TIME_NOW = "00:00"
LIST_OF_PLAY = {"classes": []}
PLAYER_SETTINGS = {"play": 0, "cycle": False, "random_song": False}
PAST_SONG = {"class": None, "song_id": None, "past_lib": None, "lib_now": None}
SONG_PLAY_NOW = {"name": "", "author": "", "time": "", "url": "", "song_id": None, "num": 0, "loaded": False}
|
#this file provides a list of file names for mini examples
miniExamplesFileList = ['ObjectMassPoint.py',
'ObjectMassPoint2D.py',
'ObjectMass1D.py',
'ObjectRotationalMass1D.py',
'ObjectRigidBody2D.py',
'ObjectGenericODE2.py',
'ObjectConnectorSpringDamper.py',
'ObjectConnectorCartesianSpringDamper.py',
'ObjectConnectorCoordinateSpringDamper.py',
'ObjectConnectorDistance.py',
'ObjectConnectorCoordinate.py',
'MarkerSuperElementPosition.py']
|
pkgname = "qrencode"
pkgver = "4.1.1"
pkgrel = 0
build_style = "gnu_configure"
configure_args = ["--with-tests"]
hostmakedepends = ["pkgconf"]
makedepends = ["libpng-devel"]
pkgdesc = "Library for encoding QR codes"
maintainer = "q66 <q66@chimera-linux.org>"
license = "LGPL-2.1-or-later"
url = "https://fukuchi.org/works/qrencode/index.html.en"
source = f"https://fukuchi.org/works/{pkgname}/{pkgname}-{pkgver}.tar.bz2"
sha256 = "e455d9732f8041cf5b9c388e345a641fd15707860f928e94507b1961256a6923"
@subpackage("qrencode-devel")
def _devel(self):
return self.default_devel()
@subpackage("qrencode-progs")
def _progs(self):
return self.default_progs()
|
#
# PySNMP MIB module CISCO-NS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-NS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:37:23 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ValueSizeConstraint, ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ValueSizeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion")
ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt")
FcNameIdOrZero, FcAddressId, FcClassOfServices, FcNameId = mibBuilder.importSymbols("CISCO-ST-TC", "FcNameIdOrZero", "FcAddressId", "FcClassOfServices", "FcNameId")
notifyVsanIndex, vsanIndex = mibBuilder.importSymbols("CISCO-VSAN-MIB", "notifyVsanIndex", "vsanIndex")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance")
Integer32, Counter64, ModuleIdentity, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, Unsigned32, ObjectIdentity, Gauge32, IpAddress, Counter32, MibIdentifier, iso, Bits = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "Counter64", "ModuleIdentity", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "Unsigned32", "ObjectIdentity", "Gauge32", "IpAddress", "Counter32", "MibIdentifier", "iso", "Bits")
TimeStamp, TruthValue, DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "TimeStamp", "TruthValue", "DisplayString", "TextualConvention")
ciscoNsMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 293))
ciscoNsMIB.setRevisions(('2004-08-30 00:00', '2004-02-19 00:00', '2003-03-06 00:00', '2002-10-03 00:00',))
if mibBuilder.loadTexts: ciscoNsMIB.setLastUpdated('200408300000Z')
if mibBuilder.loadTexts: ciscoNsMIB.setOrganization('Cisco Systems Inc.')
ciscoNameServerMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1))
fcNameServerMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 2))
fcNameServerConfiguration = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1))
fcNameServerStats = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2))
fcNameServerInformation = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 3))
fcNameServerNotification = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4))
fcNameServerNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4, 0))
class FcGs3RejectReasonCode(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
namedValues = NamedValues(("none", 1), ("invalidCmdCode", 2), ("invalidVerLevel", 3), ("logicalError", 4), ("invalidIUSize", 5), ("logicalBusy", 6), ("protocolError", 7), ("unableToPerformCmdReq", 8), ("cmdNotSupported", 9), ("vendorError", 10))
class FcNameServerRejReasonExpl(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))
namedValues = NamedValues(("noAdditionalExplanation", 1), ("portIdentifierNotRegistered", 2), ("portNameNotRegistered", 3), ("nodeNameNotRegistered", 4), ("classOfServiceNotRegistered", 5), ("nodeIpAddressNotRegistered", 6), ("ipaNotRegistered", 7), ("fc4TypeNotRegistered", 8), ("symbolicPortNameNotRegistered", 9), ("symbolicNodeNameNotRegistered", 10), ("portTypeNotRegistered", 11), ("portIpAddressNotRegistered", 12), ("fabricPortNameNotRegistered", 13), ("hardAddressNotRegistered", 14), ("fc4DescriptorNotRegistered", 15), ("fc4FeaturesNotRegistered", 16), ("accessDenied", 17), ("unacceptablePortIdentifier", 18), ("databaseEmpty", 19), ("noObjectRegInSpecifiedScope", 20))
fcNameServerProxyPortTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 1), )
if mibBuilder.loadTexts: fcNameServerProxyPortTable.setStatus('current')
fcNameServerProxyPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 1, 1), ).setIndexNames((0, "CISCO-VSAN-MIB", "vsanIndex"))
if mibBuilder.loadTexts: fcNameServerProxyPortEntry.setStatus('current')
fcNameServerProxyPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 1, 1, 1), FcNameIdOrZero().clone(hexValue="")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerProxyPortName.setStatus('current')
fcNameServerTableLastChange = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 2), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerTableLastChange.setStatus('current')
fcNameServerNumRows = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerNumRows.setStatus('current')
fcNameServerTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4), )
if mibBuilder.loadTexts: fcNameServerTable.setStatus('current')
fcNameServerEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1), ).setIndexNames((0, "CISCO-VSAN-MIB", "vsanIndex"), (0, "CISCO-NS-MIB", "fcNameServerPortIdentifier"))
if mibBuilder.loadTexts: fcNameServerEntry.setStatus('current')
fcNameServerPortIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 1), FcAddressId())
if mibBuilder.loadTexts: fcNameServerPortIdentifier.setStatus('current')
fcNameServerPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 2), FcNameId().clone(hexValue="0000000000000000")).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerPortName.setStatus('current')
fcNameServerNodeName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 3), FcNameId().clone(hexValue="0000000000000000")).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerNodeName.setStatus('current')
fcNameServerClassOfSvc = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 4), FcClassOfServices()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerClassOfSvc.setStatus('current')
fcNameServerNodeIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 5), OctetString().subtype(subtypeSpec=ValueSizeConstraint(16, 16)).setFixedLength(16)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerNodeIpAddress.setStatus('current')
fcNameServerProcAssoc = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 6), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerProcAssoc.setStatus('current')
fcNameServerFC4Type = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 7), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerFC4Type.setStatus('current')
fcNameServerPortType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("unknown", 1), ("nPort", 2), ("nlPort", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerPortType.setStatus('current')
fcNameServerPortIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 9), OctetString().subtype(subtypeSpec=ValueSizeConstraint(16, 16)).setFixedLength(16)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerPortIpAddress.setStatus('current')
fcNameServerFabricPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 10), FcNameId().clone(hexValue="0000000000000000")).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerFabricPortName.setStatus('current')
fcNameServerHardAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 11), FcAddressId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerHardAddress.setStatus('current')
fcNameServerSymbolicPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 12), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 255)).clone(hexValue="")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerSymbolicPortName.setStatus('current')
fcNameServerSymbolicNodeName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 13), SnmpAdminString().subtype(subtypeSpec=ValueSizeConstraint(0, 255)).clone(hexValue="")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerSymbolicNodeName.setStatus('current')
fcNameServerFC4Features = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 14), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerFC4Features.setStatus('current')
fcNameServerPortFunction = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 15), Bits().clone(namedValues=NamedValues(("trapPort", 0), ("vep", 1), ("volOwner", 2), ("ipfcPort", 3), ("intPort", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerPortFunction.setStatus('deprecated')
fcNameServerPermanentPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 4, 1, 16), FcNameId()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerPermanentPortName.setStatus('current')
fcNameServerTotalRejects = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerTotalRejects.setStatus('current')
fcNameServerStatsTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2), )
if mibBuilder.loadTexts: fcNameServerStatsTable.setStatus('current')
fcNameServerStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1), ).setIndexNames((0, "CISCO-VSAN-MIB", "vsanIndex"))
if mibBuilder.loadTexts: fcNameServerStatsEntry.setStatus('current')
fcNameServerInGetReqs = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerInGetReqs.setStatus('current')
fcNameServerOutGetReqs = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerOutGetReqs.setStatus('current')
fcNameServerInRegReqs = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerInRegReqs.setStatus('current')
fcNameServerInDeRegReqs = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerInDeRegReqs.setStatus('current')
fcNameServerInRscns = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerInRscns.setStatus('current')
fcNameServerOutRscns = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerOutRscns.setStatus('current')
fcNameServerRejects = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 2, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerRejects.setStatus('current')
fcNameServerRejectReasonCode = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 3, 1), FcGs3RejectReasonCode()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerRejectReasonCode.setStatus('current')
fcNameServerRejReasonCodeExp = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 3, 2), FcNameServerRejReasonExpl()).setMaxAccess("readonly")
if mibBuilder.loadTexts: fcNameServerRejReasonCodeExp.setStatus('current')
fcNameServerRejReqNotifyEnable = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 1, 5), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: fcNameServerRejReqNotifyEnable.setStatus('current')
fcNameServerRejectRegNotify = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4, 0, 1)).setObjects(("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerRejectReasonCode"), ("CISCO-NS-MIB", "fcNameServerRejReasonCodeExp"))
if mibBuilder.loadTexts: fcNameServerRejectRegNotify.setStatus('current')
fcNameServerDatabaseFull = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4, 0, 2)).setObjects(("CISCO-VSAN-MIB", "notifyVsanIndex"))
if mibBuilder.loadTexts: fcNameServerDatabaseFull.setStatus('current')
fcNameServerEntryAdd = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4, 0, 3)).setObjects(("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerPortType"))
if mibBuilder.loadTexts: fcNameServerEntryAdd.setStatus('current')
fcNameServerEntryDelete = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 293, 1, 4, 0, 4)).setObjects(("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerPortType"))
if mibBuilder.loadTexts: fcNameServerEntryDelete.setStatus('current')
fcNameServerMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 1))
fcNameServerMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2))
fcNameServerMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 1, 1)).setObjects(("CISCO-NS-MIB", "fcNameServerDBGroup"), ("CISCO-NS-MIB", "fcNameServerStatsGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyControlGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerMIBCompliance = fcNameServerMIBCompliance.setStatus('deprecated')
fcNameServerMIBCompliance1 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 1, 2)).setObjects(("CISCO-NS-MIB", "fcNameServerDBGroup1"), ("CISCO-NS-MIB", "fcNameServerStatsGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyControlGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerMIBCompliance1 = fcNameServerMIBCompliance1.setStatus('deprecated')
fcNameServerMIBCompliance2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 1, 3)).setObjects(("CISCO-NS-MIB", "fcNameServerDBGroup2"), ("CISCO-NS-MIB", "fcNameServerStatsGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyControlGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyGroupRev1"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerMIBCompliance2 = fcNameServerMIBCompliance2.setStatus('deprecated')
fcNameServerMIBCompliance3 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 1, 4)).setObjects(("CISCO-NS-MIB", "fcNameServerDBGroup3"), ("CISCO-NS-MIB", "fcNameServerStatsGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyControlGroup"), ("CISCO-NS-MIB", "fcNameServerNotifyGroupRev1"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerMIBCompliance3 = fcNameServerMIBCompliance3.setStatus('current')
fcNameServerDBGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 1)).setObjects(("CISCO-NS-MIB", "fcNameServerProxyPortName"), ("CISCO-NS-MIB", "fcNameServerNumRows"), ("CISCO-NS-MIB", "fcNameServerTableLastChange"), ("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerNodeName"), ("CISCO-NS-MIB", "fcNameServerClassOfSvc"), ("CISCO-NS-MIB", "fcNameServerNodeIpAddress"), ("CISCO-NS-MIB", "fcNameServerProcAssoc"), ("CISCO-NS-MIB", "fcNameServerFC4Type"), ("CISCO-NS-MIB", "fcNameServerPortType"), ("CISCO-NS-MIB", "fcNameServerPortIpAddress"), ("CISCO-NS-MIB", "fcNameServerFabricPortName"), ("CISCO-NS-MIB", "fcNameServerHardAddress"), ("CISCO-NS-MIB", "fcNameServerSymbolicPortName"), ("CISCO-NS-MIB", "fcNameServerSymbolicNodeName"), ("CISCO-NS-MIB", "fcNameServerFC4Features"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerDBGroup = fcNameServerDBGroup.setStatus('deprecated')
fcNameServerStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 2)).setObjects(("CISCO-NS-MIB", "fcNameServerTotalRejects"), ("CISCO-NS-MIB", "fcNameServerInGetReqs"), ("CISCO-NS-MIB", "fcNameServerOutGetReqs"), ("CISCO-NS-MIB", "fcNameServerInRegReqs"), ("CISCO-NS-MIB", "fcNameServerInDeRegReqs"), ("CISCO-NS-MIB", "fcNameServerInRscns"), ("CISCO-NS-MIB", "fcNameServerOutRscns"), ("CISCO-NS-MIB", "fcNameServerRejects"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerStatsGroup = fcNameServerStatsGroup.setStatus('current')
fcNameServerNotifyControlGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 3)).setObjects(("CISCO-NS-MIB", "fcNameServerRejectReasonCode"), ("CISCO-NS-MIB", "fcNameServerRejReasonCodeExp"), ("CISCO-NS-MIB", "fcNameServerRejReqNotifyEnable"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerNotifyControlGroup = fcNameServerNotifyControlGroup.setStatus('current')
fcNameServerNotifyGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 4)).setObjects(("CISCO-NS-MIB", "fcNameServerRejectRegNotify"), ("CISCO-NS-MIB", "fcNameServerDatabaseFull"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerNotifyGroup = fcNameServerNotifyGroup.setStatus('deprecated')
fcNameServerDBGroup1 = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 5)).setObjects(("CISCO-NS-MIB", "fcNameServerProxyPortName"), ("CISCO-NS-MIB", "fcNameServerNumRows"), ("CISCO-NS-MIB", "fcNameServerTableLastChange"), ("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerNodeName"), ("CISCO-NS-MIB", "fcNameServerClassOfSvc"), ("CISCO-NS-MIB", "fcNameServerNodeIpAddress"), ("CISCO-NS-MIB", "fcNameServerProcAssoc"), ("CISCO-NS-MIB", "fcNameServerFC4Type"), ("CISCO-NS-MIB", "fcNameServerPortType"), ("CISCO-NS-MIB", "fcNameServerPortIpAddress"), ("CISCO-NS-MIB", "fcNameServerFabricPortName"), ("CISCO-NS-MIB", "fcNameServerHardAddress"), ("CISCO-NS-MIB", "fcNameServerSymbolicPortName"), ("CISCO-NS-MIB", "fcNameServerSymbolicNodeName"), ("CISCO-NS-MIB", "fcNameServerFC4Features"), ("CISCO-NS-MIB", "fcNameServerPortFunction"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerDBGroup1 = fcNameServerDBGroup1.setStatus('deprecated')
fcNameServerNotifyGroupRev1 = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 6)).setObjects(("CISCO-NS-MIB", "fcNameServerRejectRegNotify"), ("CISCO-NS-MIB", "fcNameServerDatabaseFull"), ("CISCO-NS-MIB", "fcNameServerEntryAdd"), ("CISCO-NS-MIB", "fcNameServerEntryDelete"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerNotifyGroupRev1 = fcNameServerNotifyGroupRev1.setStatus('current')
fcNameServerDBGroup2 = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 7)).setObjects(("CISCO-NS-MIB", "fcNameServerProxyPortName"), ("CISCO-NS-MIB", "fcNameServerNumRows"), ("CISCO-NS-MIB", "fcNameServerTableLastChange"), ("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerNodeName"), ("CISCO-NS-MIB", "fcNameServerClassOfSvc"), ("CISCO-NS-MIB", "fcNameServerNodeIpAddress"), ("CISCO-NS-MIB", "fcNameServerProcAssoc"), ("CISCO-NS-MIB", "fcNameServerFC4Type"), ("CISCO-NS-MIB", "fcNameServerPortType"), ("CISCO-NS-MIB", "fcNameServerPortIpAddress"), ("CISCO-NS-MIB", "fcNameServerFabricPortName"), ("CISCO-NS-MIB", "fcNameServerHardAddress"), ("CISCO-NS-MIB", "fcNameServerSymbolicPortName"), ("CISCO-NS-MIB", "fcNameServerSymbolicNodeName"), ("CISCO-NS-MIB", "fcNameServerFC4Features"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerDBGroup2 = fcNameServerDBGroup2.setStatus('current')
fcNameServerDBGroup3 = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 293, 2, 2, 8)).setObjects(("CISCO-NS-MIB", "fcNameServerProxyPortName"), ("CISCO-NS-MIB", "fcNameServerNumRows"), ("CISCO-NS-MIB", "fcNameServerTableLastChange"), ("CISCO-NS-MIB", "fcNameServerPortName"), ("CISCO-NS-MIB", "fcNameServerNodeName"), ("CISCO-NS-MIB", "fcNameServerClassOfSvc"), ("CISCO-NS-MIB", "fcNameServerNodeIpAddress"), ("CISCO-NS-MIB", "fcNameServerProcAssoc"), ("CISCO-NS-MIB", "fcNameServerFC4Type"), ("CISCO-NS-MIB", "fcNameServerPortType"), ("CISCO-NS-MIB", "fcNameServerPortIpAddress"), ("CISCO-NS-MIB", "fcNameServerFabricPortName"), ("CISCO-NS-MIB", "fcNameServerHardAddress"), ("CISCO-NS-MIB", "fcNameServerSymbolicPortName"), ("CISCO-NS-MIB", "fcNameServerSymbolicNodeName"), ("CISCO-NS-MIB", "fcNameServerFC4Features"), ("CISCO-NS-MIB", "fcNameServerPermanentPortName"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
fcNameServerDBGroup3 = fcNameServerDBGroup3.setStatus('current')
mibBuilder.exportSymbols("CISCO-NS-MIB", fcNameServerPortName=fcNameServerPortName, fcNameServerInGetReqs=fcNameServerInGetReqs, fcNameServerInformation=fcNameServerInformation, fcNameServerRejectRegNotify=fcNameServerRejectRegNotify, fcNameServerFC4Features=fcNameServerFC4Features, fcNameServerNotifications=fcNameServerNotifications, fcNameServerDatabaseFull=fcNameServerDatabaseFull, fcNameServerEntry=fcNameServerEntry, fcNameServerDBGroup=fcNameServerDBGroup, fcNameServerProxyPortEntry=fcNameServerProxyPortEntry, fcNameServerInDeRegReqs=fcNameServerInDeRegReqs, fcNameServerFC4Type=fcNameServerFC4Type, fcNameServerClassOfSvc=fcNameServerClassOfSvc, FcGs3RejectReasonCode=FcGs3RejectReasonCode, fcNameServerPortIpAddress=fcNameServerPortIpAddress, fcNameServerSymbolicNodeName=fcNameServerSymbolicNodeName, fcNameServerRejectReasonCode=fcNameServerRejectReasonCode, fcNameServerMIBGroups=fcNameServerMIBGroups, fcNameServerDBGroup2=fcNameServerDBGroup2, fcNameServerTotalRejects=fcNameServerTotalRejects, fcNameServerNumRows=fcNameServerNumRows, ciscoNsMIB=ciscoNsMIB, fcNameServerTableLastChange=fcNameServerTableLastChange, fcNameServerPortType=fcNameServerPortType, PYSNMP_MODULE_ID=ciscoNsMIB, fcNameServerHardAddress=fcNameServerHardAddress, fcNameServerPortFunction=fcNameServerPortFunction, fcNameServerPermanentPortName=fcNameServerPermanentPortName, fcNameServerEntryAdd=fcNameServerEntryAdd, fcNameServerDBGroup3=fcNameServerDBGroup3, fcNameServerStatsGroup=fcNameServerStatsGroup, fcNameServerNotifyControlGroup=fcNameServerNotifyControlGroup, fcNameServerNodeIpAddress=fcNameServerNodeIpAddress, FcNameServerRejReasonExpl=FcNameServerRejReasonExpl, fcNameServerPortIdentifier=fcNameServerPortIdentifier, fcNameServerNodeName=fcNameServerNodeName, fcNameServerMIBCompliances=fcNameServerMIBCompliances, fcNameServerMIBCompliance=fcNameServerMIBCompliance, fcNameServerRejReasonCodeExp=fcNameServerRejReasonCodeExp, fcNameServerMIBConformance=fcNameServerMIBConformance, fcNameServerOutGetReqs=fcNameServerOutGetReqs, fcNameServerStatsTable=fcNameServerStatsTable, fcNameServerMIBCompliance3=fcNameServerMIBCompliance3, fcNameServerDBGroup1=fcNameServerDBGroup1, fcNameServerNotifyGroupRev1=fcNameServerNotifyGroupRev1, fcNameServerInRscns=fcNameServerInRscns, fcNameServerProcAssoc=fcNameServerProcAssoc, fcNameServerTable=fcNameServerTable, fcNameServerSymbolicPortName=fcNameServerSymbolicPortName, fcNameServerRejects=fcNameServerRejects, fcNameServerMIBCompliance1=fcNameServerMIBCompliance1, fcNameServerInRegReqs=fcNameServerInRegReqs, ciscoNameServerMIBObjects=ciscoNameServerMIBObjects, fcNameServerConfiguration=fcNameServerConfiguration, fcNameServerProxyPortName=fcNameServerProxyPortName, fcNameServerNotification=fcNameServerNotification, fcNameServerOutRscns=fcNameServerOutRscns, fcNameServerProxyPortTable=fcNameServerProxyPortTable, fcNameServerRejReqNotifyEnable=fcNameServerRejReqNotifyEnable, fcNameServerMIBCompliance2=fcNameServerMIBCompliance2, fcNameServerStats=fcNameServerStats, fcNameServerStatsEntry=fcNameServerStatsEntry, fcNameServerEntryDelete=fcNameServerEntryDelete, fcNameServerNotifyGroup=fcNameServerNotifyGroup, fcNameServerFabricPortName=fcNameServerFabricPortName)
|
s = "abacaba"
length = 1
while s[0:length] != s:
length = length + 1
length == 7
|
"""
1780 : 종이의 개수
URL : https://www.acmicpc.net/problem/1780
Input :
9
0 0 0 1 1 1 -1 -1 -1
0 0 0 1 1 1 -1 -1 -1
0 0 0 1 1 1 -1 -1 -1
1 1 1 0 0 0 0 0 0
1 1 1 0 0 0 0 0 0
1 1 1 0 0 0 0 0 0
0 1 -1 0 1 -1 0 1 -1
0 -1 1 0 1 -1 0 1 -1
0 1 -1 1 0 -1 0 1 -1
Output :
10
12
11
"""
matrix = []
def count_paper(x, y, n):
positive = True
zero = True
negative = True
for i in range(x, x + n):
for j in range(y, y + n):
k = matrix[i][j]
if k == 1:
zero = False
negative = False
if k == 0:
positive = False
negative = False
if k == -1:
positive = False
zero = False
if (not positive) and (not zero) and (not negative):
break
if (not positive) and (not zero) and (not negative):
break
if positive:
return 1, 0, 0
if zero:
return 0, 1, 0
if negative:
return 0, 0, 1
positive = 0
zero = 0
negative = 0
m = (n // 3)
for i in range(3):
for j in range(3):
p, z, n = count_paper(x + (m * i), y + (m * j), m)
positive += p
zero += z
negative += n
return positive, zero, negative
n = int(input())
for i in range(n):
row = list(map(int, input().split()))
matrix.append(row)
positive, zero, negative = count_paper(0, 0, n)
print(negative)
print(zero)
print(positive)
|
class GenericMeta(type):
def __getitem__(self, args):
pass
class Generic(object):
__metaclass__ = GenericMeta
|
"""
This file contains triangle vertex coordinates of a font
called "Dutch-Blunt" (c) 2015 by Abraham Stolk, commit e1b0044a
The font 'Dutch-Blunt' is licensed under the SIL OPEN FONT LICENSE.
See: https://github.com/stolk/dutch-blunt
"""
widths = [
5.0,
0.55555556,
3.0,
3.54,
2.00065051,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.74851064,
5.0,
4.90057317,
5.23316176,
5.0,
5.0,
5.0,
4.6077147,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
6.31074452,
5.19715952,
4.9519632,
5.0,
5.0,
0,
1.0,
3.0,
5.0,
4.0,
3.77123617,
4.0,
1.0,
2.0,
2.0,
4.74839684,
5.0,
1.0,
4.0,
1.0,
3.03269207,
4.0,
3.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
1.0,
1.0,
2.5,
4.0,
2.5,
4.0,
5.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
3.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.66668,
4.0,
4.0,
2.0,
3.03269207,
2.0,
4.33333333,
4.5,
1.0,
3.667,
3.667,
3.3337,
3.667,
3.667,
3.0,
3.667,
3.667,
1.0,
2.0,
3.33333333,
2.0,
4.334,
3.667,
3.667,
3.667,
3.667,
3.0,
3.334,
3.0,
3.667,
4.0,
4.334,
4.33368,
3.667,
3.667,
3.0,
1.0,
3.0,
4.00026667,
5.0,
]
sizes = [
6,
6,
78,
240,
117,
6,
6,
6,
6,
6,
6,
6,
147,
6,
150,
204,
396,
120,
345,
258,
15,
15,
15,
15,
6,
42,
24,
30,
240,
150,
60,
54,
0,
36,
42,
144,
162,
54,
129,
21,
54,
54,
54,
54,
24,
18,
18,
18,
84,
63,
63,
102,
66,
75,
111,
27,
174,
111,
36,
39,
18,
36,
18,
81,
93,
72,
111,
54,
60,
54,
45,
72,
54,
54,
54,
51,
27,
42,
54,
72,
63,
90,
81,
90,
36,
54,
24,
42,
60,
72,
42,
36,
18,
36,
36,
18,
21,
60,
63,
54,
63,
87,
75,
84,
60,
36,
54,
51,
30,
63,
45,
72,
84,
84,
45,
84,
72,
45,
24,
63,
54,
78,
36,
60,
36,
60,
36,
174,
]
vdataoffsets = [
0,
6,
12,
90,
330,
447,
453,
459,
465,
471,
477,
483,
489,
636,
642,
792,
996,
1392,
1512,
1857,
2115,
2130,
2145,
2160,
2175,
2181,
2223,
2247,
2277,
2517,
2667,
2727,
2781,
2781,
2817,
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3003,
3165,
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3645,
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3975,
4041,
4116,
4227,
4254,
4428,
4539,
4575,
4614,
4632,
4668,
4686,
4767,
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7749,
7821,
7866,
7890,
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8007,
8085,
8121,
8181,
8217,
8277,
8313,
]
vdata = [
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-1.10218e-15,0, 5,0, 5,5, -1.10218e-15,0, 5,5, -1.40834e-15,5,
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0,0, 0.5,0.5, 0.5,4.5, 0,0, 0.5,4.5, 0,5, 0,5, 0.5,4.5, 4.5,4.5, 0,5, 4.5,4.5, 5,5, 5,0, 4.5,0.5, 0.5,0.5, 5,0, 0.5,0.5, 0,0, 5,5, 4.5,4.5, 4.5,0.5, 5,5, 4.5,0.5, 5,0, 2.01316,1.02695, 6.31074,5.11791, 2.09803,2.13456, 2.01316,1.02695, 2.09803,2.13456, 0.735741,3.22976,
2.19956,5.19716, 2.06105,4.70677, 2.93895,4.70677, 2.19956,5.19716, 2.93895,4.70677, 2.80044,5.19716, 4.19474,4.61962, 3.75003,4.37081, 4.37081,3.75003, 4.19474,4.61962, 4.37081,3.75003, 4.61962,4.19474, 5.19716,2.80044, 4.70677,2.93895, 4.70677,2.06105, 5.19716,2.80044, 4.70677,2.06105, 5.19716,2.19956, 4.61962,0.805263, 4.37081,1.24997, 3.75003,0.629193, 4.61962,0.805263, 3.75003,0.629193, 4.19474,0.380378, 2.80044,-0.19716, 2.93895,0.293233, 2.06105,0.293233, 2.80044,-0.19716, 2.06105,0.293233, 2.19956,-0.19716, 0.805263,0.380378, 1.24997,0.629193, 0.629193,1.24997, 0.805263,0.380378, 0.629193,1.24997, 0.380378,0.805263, -0.19716,2.19956, 0.293233,2.06105, 0.293233,2.93895, -0.19716,2.19956, 0.293233,2.93895, -0.19716,2.80044, 0.380378,4.19474, 0.629193,3.75003, 1.24997,4.37081, 0.380378,4.19474, 1.24997,4.37081, 0.805263,4.61962, 2.06105,4.70677, 2.14884,4.26541, 2.85116,4.26541, 2.06105,4.70677, 2.85116,4.26541, 2.93895,4.70677, 2.93895,4.70677, 2.85116,4.26541, 3.50003,3.99665, 2.93895,4.70677, 3.50003,3.99665, 3.75003,4.37081, 3.75003,4.37081, 3.50003,3.99665, 3.99665,3.50003, 3.75003,4.37081, 3.99665,3.50003, 4.37081,3.75003, 4.37081,3.75003, 3.99665,3.50003, 4.26541,2.85116, 4.37081,3.75003, 4.26541,2.85116, 4.70677,2.93895, 4.70677,2.93895, 4.26541,2.85116, 4.26541,2.14884, 4.70677,2.93895, 4.26541,2.14884, 4.70677,2.06105, 4.70677,2.06105, 4.26541,2.14884, 3.99665,1.49997, 4.70677,2.06105, 3.99665,1.49997, 4.37081,1.24997, 4.37081,1.24997, 3.99665,1.49997, 3.50003,1.00335, 4.37081,1.24997, 3.50003,1.00335, 3.75003,0.629193, 3.75003,0.629193, 3.50003,1.00335, 2.85116,0.734586, 3.75003,0.629193, 2.85116,0.734586, 2.93895,0.293233, 2.93895,0.293233, 2.85116,0.734586, 2.14884,0.734586, 2.93895,0.293233, 2.14884,0.734586, 2.06105,0.293233, 2.06105,0.293233, 2.14884,0.734586, 1.49997,1.00335, 2.06105,0.293233, 1.49997,1.00335, 1.24997,0.629193, 1.24997,0.629193, 1.49997,1.00335, 1.00335,1.49997, 1.24997,0.629193, 1.00335,1.49997, 0.629193,1.24997, 0.629193,1.24997, 1.00335,1.49997, 0.734586,2.14884, 0.629193,1.24997, 0.734586,2.14884, 0.293233,2.06105, 0.293233,2.06105, 0.734586,2.14884, 0.734586,2.85116, 0.293233,2.06105, 0.734586,2.85116, 0.293233,2.93895, 0.293233,2.93895, 0.734586,2.85116, 1.00335,3.50003, 0.293233,2.93895, 1.00335,3.50003, 0.629193,3.75003, 0.629193,3.75003, 1.00335,3.50003, 1.49997,3.99665, 0.629193,3.75003, 1.49997,3.99665, 1.24997,4.37081, 1.24997,4.37081, 1.49997,3.99665, 2.14884,4.26541, 1.24997,4.37081, 2.14884,4.26541, 2.06105,4.70677, 1.15302,1.59998, 1.82651,2.04999, 1.70556,2.34198, 1.15302,1.59998, 1.70556,2.34198, 0.911128,2.18395, 1.59998,1.15302, 2.04999,1.82651, 1.82651,2.04999, 1.59998,1.15302, 1.82651,2.04999, 1.15302,1.59998, 2.18395,0.911128, 2.34198,1.70556, 2.04999,1.82651, 2.18395,0.911128, 2.04999,1.82651, 1.59998,1.15302, 2.81605,0.911128, 2.65802,1.70556, 2.34198,1.70556, 2.81605,0.911128, 2.34198,1.70556, 2.18395,0.911128, 3.40002,1.15302, 2.95001,1.82651, 2.65802,1.70556, 3.40002,1.15302, 2.65802,1.70556, 2.81605,0.911128, 3.84698,1.59998, 3.17349,2.04999, 2.95001,1.82651, 3.84698,1.59998, 2.95001,1.82651, 3.40002,1.15302, 4.08887,2.18395, 3.29444,2.34198, 3.17349,2.04999, 4.08887,2.18395, 3.17349,2.04999, 3.84698,1.59998, 4.08887,2.81605, 3.29444,2.65802, 3.29444,2.34198, 4.08887,2.81605, 3.29444,2.34198, 4.08887,2.18395, 3.84698,3.40002, 3.17349,2.95001, 3.29444,2.65802, 3.84698,3.40002, 3.29444,2.65802, 4.08887,2.81605, 3.40002,3.84698, 2.95001,3.17349, 3.17349,2.95001, 3.40002,3.84698, 3.17349,2.95001, 3.84698,3.40002, 2.81605,4.08887, 2.65802,3.29444, 2.95001,3.17349, 2.81605,4.08887, 2.95001,3.17349, 3.40002,3.84698, 2.18395,4.08887, 2.34198,3.29444, 2.65802,3.29444, 2.18395,4.08887, 2.65802,3.29444, 2.81605,4.08887, 1.59998,3.84698, 2.04999,3.17349, 2.34198,3.29444, 1.59998,3.84698, 2.34198,3.29444, 2.18395,4.08887, 1.15302,3.40002, 1.82651,2.95001, 2.04999,3.17349, 1.15302,3.40002, 2.04999,3.17349, 1.59998,3.84698, 0.911128,2.81605, 1.70556,2.65802, 1.82651,2.95001, 0.911128,2.81605, 1.82651,2.95001, 1.15302,3.40002, 0.911128,2.18395, 1.70556,2.34198, 1.70556,2.65802, 0.911128,2.18395, 1.70556,2.65802, 0.911128,2.81605,
4.10403,2.10982, 4.60274,2.5, 4.10403,2.89018, 2.10982,0.89597, 2.5,0.397256, 2.89018,0.89597, 0.89597,2.89018, 0.397256,2.5, 0.89597,2.10982, 2.89018,4.10403, 2.5,4.60274, 2.10982,4.10403, 2.98773,4.95196, 2.98773,4.77446, 2.98773,4.83638, 2.98773,4.95196, 2.98773,4.83638, 2.98773,4.28226, 2.98773,4.95196, 2.98773,4.28226, 2.98773,2.98773, 2.98773,4.95196, 2.98773,2.98773, 4.28226,2.98773, 2.98773,4.95196, 4.28226,2.98773, 4.83638,2.98773, 2.98773,4.95196, 4.83638,2.98773, 4.77446,2.98773, 2.98773,4.95196, 4.77446,2.98773, 4.95196,2.98773, 2.98773,4.95196, 4.95196,2.98773, 4.57867,3.88893, 2.98773,4.95196, 4.57867,3.88893, 3.88893,4.57867, 4.95196,2.98773, 4.77446,2.98773, 4.77446,2.01227, 4.95196,2.98773, 4.77446,2.01227, 4.95196,2.01227, 4.95196,2.01227, 4.77446,2.01227, 4.83638,2.01227, 4.95196,2.01227, 4.83638,2.01227, 4.28226,2.01227, 4.95196,2.01227, 4.28226,2.01227, 2.98773,2.01227, 4.95196,2.01227, 2.98773,2.01227, 2.98773,0.717744, 4.95196,2.01227, 2.98773,0.717744, 2.98773,0.163617, 4.95196,2.01227, 2.98773,0.163617, 2.98773,0.225536, 4.95196,2.01227, 2.98773,0.225536, 2.98773,0.0480368, 4.95196,2.01227, 2.98773,0.0480368, 3.88893,0.421326, 4.95196,2.01227, 3.88893,0.421326, 4.57867,1.11107, 2.98773,0.0480368, 2.98773,0.225536, 2.01227,0.225536, 2.98773,0.0480368, 2.01227,0.225536, 2.01227,0.0480368, 2.01227,0.0480368, 2.01227,0.225536, 2.01227,0.163617, 2.01227,0.0480368, 2.01227,0.163617, 2.01227,0.717744, 2.01227,0.0480368, 2.01227,0.717744, 2.01227,2.01227, 2.01227,0.0480368, 2.01227,2.01227, 0.717744,2.01227, 2.01227,0.0480368, 0.717744,2.01227, 0.163617,2.01227, 2.01227,0.0480368, 0.163617,2.01227, 0.225536,2.01227, 2.01227,0.0480368, 0.225536,2.01227, 0.0480368,2.01227, 2.01227,0.0480368, 0.0480368,2.01227, 0.421326,1.11107, 2.01227,0.0480368, 0.421326,1.11107, 1.11107,0.421326, 0.0480368,2.01227, 0.225536,2.01227, 0.225536,2.98773, 0.0480368,2.01227, 0.225536,2.98773, 0.0480368,2.98773, 0.0480368,2.98773, 0.225536,2.98773, 0.163617,2.98773, 0.0480368,2.98773, 0.163617,2.98773, 0.717744,2.98773, 0.0480368,2.98773, 0.717744,2.98773, 2.01227,2.98773, 0.0480368,2.98773, 2.01227,2.98773, 2.01227,4.28226, 0.0480368,2.98773, 2.01227,4.28226, 2.01227,4.83638, 0.0480368,2.98773, 2.01227,4.83638, 2.01227,4.77446, 0.0480368,2.98773, 2.01227,4.77446, 2.01227,4.95196, 0.0480368,2.98773, 2.01227,4.95196, 1.11107,4.57867, 0.0480368,2.98773, 1.11107,4.57867, 0.421326,3.88893, 2.01227,4.95196, 2.01227,4.77446, 2.98773,4.77446, 2.01227,4.95196, 2.98773,4.77446, 2.98773,4.95196, 2.98773,2.98773, 2.01227,2.98773, 2.01227,2.01227, 2.98773,2.98773, 2.01227,2.01227, 2.98773,2.01227,
0,2.91014, 0.707015,2.68787, 2.05879,2.76414, 0,2.91014, 2.05879,2.76414, 1.8644,3.01533, 1,0, 1.44587,0.6316, 1.78078,1.84494, 1,0, 1.78078,1.84494, 1.48212,1.74664, 4,0, 3.55413,0.6316, 2.5,1.36949, 4,0, 2.5,1.36949, 2.5,1.05, 5,2.91014, 4.29299,2.68787, 3.21922,1.84494, 5,2.91014, 3.21922,1.84494, 3.51788,1.74664, 2.5,5, 2.5,4.14183, 2.94121,2.76414, 2.5,5, 2.94121,2.76414, 3.1356,3.01533, 2.5,1.05, 2.5,1.36949, 1.44587,0.6316, 2.5,1.05, 1.44587,0.6316, 1,0, 3.51788,1.74664, 3.21922,1.84494, 3.55413,0.6316, 3.51788,1.74664, 3.55413,0.6316, 4,0, 3.1356,3.01533, 2.94121,2.76414, 4.29299,2.68787, 3.1356,3.01533, 4.29299,2.68787, 5,2.91014, 1.8644,3.01533, 2.05879,2.76414, 2.5,4.14183, 1.8644,3.01533, 2.5,4.14183, 2.5,5, 1.48212,1.74664, 1.78078,1.84494, 0.707015,2.68787, 1.48212,1.74664, 0.707015,2.68787, 0,2.91014,
0,2.91014, 1.48212,1.74664, 1.2288,2.44328, 1,0, 2.5,1.05, 1.73545,1.05, 4,0, 3.51788,1.74664, 3.26455,1.05, 5,2.91014, 3.1356,3.01533, 3.7712,2.44328, 2.5,5, 1.8644,3.01533, 2.5,3.58737, 1.73545,1.05, 1.48212,1.74664, 1,0, 3.26455,1.05, 3.51788,1.74664, 3.7712,2.44328, 3.26455,1.05, 3.7712,2.44328, 3.1356,3.01533, 3.26455,1.05, 3.1356,3.01533, 2.5,3.58737, 3.26455,1.05, 2.5,3.58737, 1.8644,3.01533, 3.26455,1.05, 1.8644,3.01533, 1.2288,2.44328, 3.26455,1.05, 1.2288,2.44328, 1.48212,1.74664, 3.26455,1.05, 1.48212,1.74664, 1.73545,1.05, 3.26455,1.05, 1.73545,1.05, 2.5,1.05, 2.5,1.05, 4,0, 3.26455,1.05, 3.51788,1.74664, 5,2.91014, 3.7712,2.44328, 3.1356,3.01533, 2.5,5, 2.5,3.58737, 1.8644,3.01533, 0,2.91014, 1.2288,2.44328,
0.333333,5, 0,4.66667, 0,2.00033, 0.333333,5, 0,2.00033, 0.333333,1.667, 0.333333,5, 0.333333,1.667, 0.666667,1.667, 0.333333,5, 0.666667,1.667, 1,2.00033, 0.333333,5, 1,2.00033, 1,4.66667, 0.333333,5, 1,4.66667, 0.666667,5, 0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,0.666667, 0,0.333333, 1,0.666667, 0.666667,1, 0,0.333333, 0.666667,1, 0.333333,1, 0,0.333333, 0.333333,1, 0,0.666667,
1,4, 0.666667,4, 1,3, 3,4, 2.66667,4, 3,3, 0,4.33333, 0.333333,4, 0.666667,4, 0,4.33333, 0.666667,4, 1,4, 0,4.33333, 1,4, 1,4.66667, 0,4.33333, 1,4.66667, 0.666667,5, 0,4.33333, 0.666667,5, 0.333333,5, 0,4.33333, 0.333333,5, 0,4.66667, 2,4.33333, 2.33333,4, 2.66667,4, 2,4.33333, 2.66667,4, 3,4, 2,4.33333, 3,4, 3,4.66667, 2,4.33333, 3,4.66667, 2.66667,5, 2,4.33333, 2.66667,5, 2.33333,5, 2,4.33333, 2.33333,5, 2,4.66667,
1,1, 2,1, 2,2, 1,1, 2,2, 1,2, 1,1, 1,0.333333, 1.33333,0, 1,1, 1.33333,0, 1.66667,0, 1,1, 1.66667,0, 2,0.333333, 1,1, 2,0.333333, 2,1, 1,2, 2,2, 2,3, 1,2, 2,3, 1,3, 1,2, 0.333333,2, 0,1.66667, 1,2, 0,1.66667, 0,1.33333, 1,2, 0,1.33333, 0.333333,1, 1,2, 0.333333,1, 1,1, 1,3, 2,3, 2,4, 1,3, 2,4, 1,4, 1,4, 0.333333,4, 0,3.66667, 1,4, 0,3.66667, 0,3.33333, 1,4, 0,3.33333, 0.333333,3, 1,4, 0.333333,3, 1,3, 2,1, 3,1, 3,2, 2,1, 3,2, 2,2, 2,3, 3,3, 3,4, 2,3, 3,4, 2,4, 2,4, 2,4.66667, 1.66667,5, 2,4, 1.66667,5, 1.33333,5, 2,4, 1.33333,5, 1,4.66667, 2,4, 1,4.66667, 1,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,0.333333, 3.33333,0, 3,1, 3.33333,0, 3.66667,0, 3,1, 3.66667,0, 4,0.333333, 3,1, 4,0.333333, 4,1, 3,2, 4,2, 4,3, 3,2, 4,3, 3,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 4,1, 4.66667,1, 5,1.33333, 4,1, 5,1.33333, 5,1.66667, 4,1, 5,1.66667, 4.66667,2, 4,1, 4.66667,2, 4,2, 4,3, 4.66667,3, 5,3.33333, 4,3, 5,3.33333, 5,3.66667, 4,3, 5,3.66667, 4.66667,4, 4,3, 4.66667,4, 4,4, 4,4, 4,4.66667, 3.66667,5, 4,4, 3.66667,5, 3.33333,5, 4,4, 3.33333,5, 3,4.66667, 4,4, 3,4.66667, 3,4,
0,3, 1,2, 1.33333,2, 0,3, 1.33333,2, 1.66667,2, 0,3, 1.66667,2, 2,2, 0,3, 2,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 2.33333,3, 0,3, 2.33333,3, 2,3, 0,3, 2,3, 1.66667,3, 0,3, 1.66667,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,1, 0.666667,1, 0.333333,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 3,0, 1,1, 3,0, 4,1, 1,1, 4,1, 3,1, 1,1, 3,1, 2.66667,1, 1,1, 2.66667,1, 2,1, 1,1, 2,1, 1.66667,1, 1,1, 1.66667,1, 1.33333,1, 1,1, 1.33333,2, 1,2, 1,2, 0.666667,1, 1,1, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 1.66667,4, 1,4, 1.66667,4, 2,4, 1,4, 2,4, 2.33333,4, 1,4, 2.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 1.66667,3, 2,4, 1.66667,4, 1.66667,3, 1.66667,4, 1.33333,3, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1, 2.33333,3, 2.66667,4, 2.33333,4, 2.33333,3, 2.33333,4, 2,3, 1.66667,2, 1.33333,1, 1.66667,1, 1.66667,2, 1.66667,1, 2,2,
0,1.32149, 0,0.850084, 0.235702,0.614382, 0,1.32149, 0.235702,0.614382, 0.707107,0.614382, 0,1.32149, 0.707107,0.614382, 3.77124,3.67851, 0,1.32149, 3.77124,3.67851, 3.77124,4.14992, 0,1.32149, 3.77124,4.14992, 3.53553,4.38562, 0,1.32149, 3.53553,4.38562, 3.06413,4.38562, 2.68562,1.03333, 3.01895,0.7, 3.35228,0.7, 2.68562,1.03333, 3.35228,0.7, 3.68562,1.03333, 2.68562,1.03333, 3.68562,1.03333, 3.68562,1.36667, 2.68562,1.03333, 3.68562,1.36667, 3.35228,1.7, 2.68562,1.03333, 3.35228,1.7, 3.01895,1.7, 2.68562,1.03333, 3.01895,1.7, 2.68562,1.36667, 0.0856181,3.63333, 0.418951,3.3, 0.752285,3.3, 0.0856181,3.63333, 0.752285,3.3, 1.08562,3.63333, 0.0856181,3.63333, 1.08562,3.63333, 1.08562,3.96667, 0.0856181,3.63333, 1.08562,3.96667, 0.752285,4.3, 0.0856181,3.63333, 0.752285,4.3, 0.418951,4.3, 0.0856181,3.63333, 0.418951,4.3, 0.0856181,3.96667,
0,1, 1,0, 3.66667,0, 0,1, 3.66667,0, 4,0.333333, 0,1, 4,0.333333, 4,0.666667, 0,1, 4,0.666667, 3.66667,1, 0,1, 3.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.66667, 0,1, 1,1.66667, 1,2, 0,1, 1,2, 0,2, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,2, 1.33333,2, 2.33333,2, 1,2, 2.33333,2, 2.76667,2, 1,2, 2.76667,2, 3,2, 1,2, 3,2, 4,3, 1,2, 4,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 2.23333,3, 1,2, 2.23333,3, 2,3, 1,2, 2,3, 1.33333,3, 1,2, 1.33333,3, 1,3, 1,2, 1,3, 0,2, 1,4, 1,3.33333, 1.33333,3, 1,4, 1.33333,3, 2,3, 1,4, 2,3, 2,3.33333, 1,4, 2,3.33333, 2,3.66667, 1,4, 2,3.66667, 2,4, 2,3, 2.23333,3, 2,3.33333, 2,4, 2,3.66667, 2.33333,4, 2,4, 2.33333,4, 2.66667,4, 2,4, 2.66667,4, 3,4, 2,4, 3,4, 4,4, 2,4, 4,4, 3,5, 2,4, 3,5, 2,5, 2,4, 2,5, 1,4, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3, 2.33333,2, 3,1.5, 2.76667,2,
1,4, 0.666667,4, 1,3, 0,4.33333, 0.333333,4, 0.666667,4, 0,4.33333, 0.666667,4, 1,4, 0,4.33333, 1,4, 1,4.66667, 0,4.33333, 1,4.66667, 0.666667,5, 0,4.33333, 0.666667,5, 0.333333,5, 0,4.33333, 0.333333,5, 0,4.66667,
-1.8982e-15,1, 1,0, 1,1, -1.8982e-15,1, 1,1, 1,1.33333, -1.8982e-15,1, 1,1.33333, 1,3.66667, -1.8982e-15,1, 1,3.66667, 1,4, -1.8982e-15,1, 1,4, 1,5, -1.8982e-15,1, 1,5, -2.0819e-15,4, 1,0, 1.66667,0, 2,0.333333, 1,0, 2,0.333333, 2,0.666667, 1,0, 2,0.666667, 1.66667,1, 1,0, 1.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 1.66667,4, 1,4, 1.66667,4, 2,4.33333, 1,4, 2,4.33333, 2,4.66667, 1,4, 2,4.66667, 1.66667,5, 1,4, 1.66667,5, 1,5,
1,0, 2,1, 2,4, 1,0, 2,4, 1,5, 1,0, 1,5, 1,4, 1,0, 1,4, 1,3.66667, 1,0, 1,3.66667, 1,1.33333, 1,0, 1,1.33333, 1,1, 1,1, 0.666667,1, 0.333333,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 0.666667,4, 1,5, 0.666667,4, 1,4, 0.666667,4, 1,3.66667, 1,4, 1,1.33333, 0.666667,1, 1,1,
4.7484,1.39434, 4.62639,1.84968, 0.873612,4.01635, 4.7484,1.39434, 0.873612,4.01635, 0.41827,3.89434, 4.7484,1.39434, 0.41827,3.89434, 0.251603,3.60566, 4.7484,1.39434, 0.251603,3.60566, 0.373612,3.15032, 4.7484,1.39434, 0.373612,3.15032, 4.12639,0.983654, 4.7484,1.39434, 4.12639,0.983654, 4.58173,1.10566, 0.41827,1.10566, 0.873612,0.983654, 4.62639,3.15032, 0.41827,1.10566, 4.62639,3.15032, 4.7484,3.60566, 0.41827,1.10566, 4.7484,3.60566, 4.58173,3.89434, 0.41827,1.10566, 4.58173,3.89434, 4.12639,4.01635, 0.41827,1.10566, 4.12639,4.01635, 0.373612,1.84968, 0.41827,1.10566, 0.373612,1.84968, 0.251603,1.39434, 2.66667,0, 3,0.333333, 3,4.66667, 2.66667,0, 3,4.66667, 2.66667,5, 2.66667,0, 2.66667,5, 2.33333,5, 2.66667,0, 2.33333,5, 2,4.66667, 2.66667,0, 2,4.66667, 2,0.333333, 2.66667,0, 2,0.333333, 2.33333,0,
2,2, 3,2, 3,3, 2,2, 3,3, 2,3, 2,2, 2,0.333333, 2.33333,0, 2,2, 2.33333,0, 2.66667,0, 2,2, 2.66667,0, 3,0.333333, 2,2, 3,0.333333, 3,2, 2,3, 0.333333,3, 0,2.66667, 2,3, 0,2.66667, 0,2.33333, 2,3, 0,2.33333, 0.333333,2, 2,3, 0.333333,2, 2,2, 3,2, 4.66667,2, 5,2.33333, 3,2, 5,2.33333, 5,2.66667, 3,2, 5,2.66667, 4.66667,3, 3,2, 4.66667,3, 3,3, 3,3, 3,4.66667, 2.66667,5, 3,3, 2.66667,5, 2.33333,5, 3,3, 2.33333,5, 2,4.66667, 3,3, 2,4.66667, 2,3,
1,0, 0.666667,0, 1,-1, 1,0.333333, 1,0.666667, 0.666667,1, 1,0.333333, 0.666667,1, 0.333333,1, 1,0.333333, 0.333333,1, 0,0.666667, 1,0.333333, 0,0.666667, 0,0.333333, 1,0.333333, 0,0.333333, 0.333333,0, 1,0.333333, 0.333333,0, 0.666667,0, 1,0.333333, 0.666667,0, 1,0,
0,2.33333, 0.333333,2, 3.66667,2, 0,2.33333, 3.66667,2, 4,2.33333, 0,2.33333, 4,2.33333, 4,2.66667, 0,2.33333, 4,2.66667, 3.66667,3, 0,2.33333, 3.66667,3, 0.333333,3, 0,2.33333, 0.333333,3, 0,2.66667,
0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,0.666667, 0,0.333333, 1,0.666667, 0.666667,1, 0,0.333333, 0.666667,1, 0.333333,1, 0,0.333333, 0.333333,1, 0,0.666667,
2.62201,4.7484, 2.16667,4.62639, 0,0.873612, 2.62201,4.7484, 0,0.873612, 0.122008,0.41827, 2.62201,4.7484, 0.122008,0.41827, 0.410684,0.251603, 2.62201,4.7484, 0.410684,0.251603, 0.866025,0.373612, 2.62201,4.7484, 0.866025,0.373612, 3.03269,4.12639, 2.62201,4.7484, 3.03269,4.12639, 2.91068,4.58173,
-2.2656e-15,1, 1,0, 1,1, -2.2656e-15,1, 1,1, 1,1.33333, -2.2656e-15,1, 1,1.33333, 1,3.66667, -2.2656e-15,1, 1,3.66667, 1,4, -2.2656e-15,1, 1,4, 1,5, -2.2656e-15,1, 1,5, -2.44929e-15,4, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.66667,1, 1,0, 1.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.33333,4, 1,4, 2.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 1,5, 3,0, 4,1, 4,4, 3,0, 4,4, 3,5, 3,0, 3,5, 3,4, 3,0, 3,4, 3,3.66667, 3,0, 3,3.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 1.66667,1, 2.66667,4, 2.33333,4, 1.66667,1, 2.33333,4, 1.33333,1, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
1,4, 0.333333,4, 0,3.66667, 1,4, 0,3.66667, 0,3.33333, 1,4, 0,3.33333, 0.333333,3, 1,4, 0.333333,3, 1,3, 2,0, 2.66667,0, 3,0.333333, 2,0, 3,0.333333, 3,0.666667, 2,0, 3,0.666667, 2.66667,1, 2,0, 2.66667,1, 2,1, 2,0, 2,1, 1,1, 2,0, 1,1, 0.333333,1, 2,0, 0.333333,1, 0,0.666667, 2,0, 0,0.666667, 0,0.333333, 2,0, 0,0.333333, 0.333333,0, 2,0, 0.333333,0, 1,0, 2,1, 2,4, 2,4.66667, 2,1, 2,4.66667, 1.66667,5, 2,1, 1.66667,5, 1.33333,5, 2,1, 1.33333,5, 1,4.66667, 2,1, 1,4.66667, 1,4, 2,1, 1,4, 1,3, 2,1, 1,3, 1,1,
2.4,3, 3.4,3, 3.4,4, 2.4,3, 3.4,4, 2.4,4, 2.4,3, 2.4,4, 2.4,3.66667, 2.4,3, 2.4,3.66667, 2.4,3.33333, 2.4,3, 2.06667,3, 0,1, 2.4,3, 0,1, 1.33333,1, 2.4,3, 1.33333,1, 3.4,3, 3.4,4, 2.4,5, 0.333333,5, 3.4,4, 0.333333,5, 0,4.66667, 3.4,4, 0,4.66667, 0,4.33333, 3.4,4, 0,4.33333, 0.333333,4, 3.4,4, 0.333333,4, 2.06667,4, 3.4,4, 2.06667,4, 2.4,4, 2.06667,4, 2.4,3.66667, 2.4,4, 2.4,3.33333, 2.06667,3, 2.4,3, 4,0.666667, 3.66667,1, 1.33333,1, 4,0.666667, 1.33333,1, 0,1, 4,0.666667, 0,1, 0,0.333333, 4,0.666667, 0,0.333333, 0.333333,0, 4,0.666667, 0.333333,0, 3.66667,0, 4,0.666667, 3.66667,0, 4,0.333333,
3,1, 4,1, 4,2, 3,1, 4,2, 3.66667,2.33333, 3,1, 3.66667,2.33333, 3.5,2.5, 3,1, 3.5,2.5, 3,2.5, 3,1, 3,2.5, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 2.33333,1, 3,1, 2.33333,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 3,4, 3,3.66667, 3,3.33333, 3,4, 3,3.33333, 3,2.5, 3,4, 3,2.5, 3.5,2.5, 3,4, 3.5,2.5, 3.66667,2.66667, 3,4, 3.66667,2.66667, 4,3, 3,4, 4,3, 4,4, 4,4, 3,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 2.66667,3, 3,2.5, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1, 3,1.66667, 3,2.5, 2.66667,2, 1,2.33333, 1.33333,2, 2.66667,2, 1,2.33333, 2.66667,2, 3,2.5, 1,2.33333, 3,2.5, 2.66667,3, 1,2.33333, 2.66667,3, 1.33333,3, 1,2.33333, 1.33333,3, 1,2.66667,
0,3, 0,2.33333, 0.333333,2, 0,3, 0.333333,2, 2,2, 0,3, 2,2, 3,2, 0,3, 3,2, 3.66667,2, 0,3, 3.66667,2, 4,2.33333, 0,3, 4,2.33333, 4,2.66667, 0,3, 4,2.66667, 3.66667,3, 0,3, 3.66667,3, 3,3, 0,3, 3,3, 2,3, 0,3, 2,3, 1,3, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, 0,4.66667, 1,3, 0,4.66667, 0,3, 2,2, 2,0.333333, 2.33333,0, 2,2, 2.33333,0, 2.66667,0, 2,2, 2.66667,0, 3,0.333333, 2,2, 3,0.333333, 3,2, 3,3, 3,3.66667, 2.66667,4, 3,3, 2.66667,4, 2.33333,4, 3,3, 2.33333,4, 2,3.66667, 3,3, 2,3.66667, 2,3,
0,3, 1,3, 1,4, 0,3, 1,4, 0,4, 0,3, 0,2.33333, 0.333333,2, 0,3, 0.333333,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 1,3, 0,4, 1,4, 3.66667,4, 0,4, 3.66667,4, 4,4.33333, 0,4, 4,4.33333, 4,4.66667, 0,4, 4,4.66667, 3.66667,5, 0,4, 3.66667,5, 0,5, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 3,2, 2.66667,2, 3,1.66667, 3,1.33333, 2.66667,1, 3,1,
0,1, 1,0, 3,0, 0,1, 3,0, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.66667,1, 0,1, 2.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.66667, 0,1, 1,1.66667, 1,2, 0,1, 1,2, 0,2, 0,2, 1,2, 1.33333,2, 0,2, 1.33333,2, 2.66667,2, 0,2, 2.66667,2, 3,2, 0,2, 3,2, 4,2, 0,2, 4,2, 3,3, 0,2, 3,3, 1.33333,3, 0,2, 1.33333,3, 1,3, 0,2, 1,3, 0,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.36667,4, 1,4, 3.36667,4, 3.7,4.33333, 1,4, 3.7,4.33333, 3.7,4.66667, 1,4, 3.7,4.66667, 3.36667,5, 1,4, 3.36667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1,
4,4, 4,4.66667, 3.66667,5, 4,4, 3.66667,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.8,4, 1.2,0, 2,0, 4,4, 1.2,0, 4,4, 2.8,4, 1.2,0, 2.8,4, 1,0.3,
-2.63299e-15,1, 1,0, 1,1, -2.63299e-15,1, 1,1, 1,1.33333, -2.63299e-15,1, 1,1.33333, 1,1.66667, -2.63299e-15,1, 1,1.66667, 1,2, -2.63299e-15,1, 1,2, 1,2.5, -2.63299e-15,1, 1,2.5, 0.5,2.5, -2.63299e-15,1, 0.5,2.5, -2.69422e-15,2, -2.75546e-15,3, 0.5,2.5, 1,2.5, -2.75546e-15,3, 1,2.5, 1,3, -2.75546e-15,3, 1,3, 1,3.33333, -2.75546e-15,3, 1,3.33333, 1,3.66667, -2.75546e-15,3, 1,3.66667, 1,4, -2.75546e-15,3, 1,4, 1,5, -2.75546e-15,3, 1,5, -2.81669e-15,4, 1,0, 2,0, 3,0, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 2,1, 1,0, 2,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,2, 1,1.66667, 1.33333,2, 1,2, 1.33333,2, 2,2, 1,2, 2,2, 2.66667,2, 1,2, 2.66667,2, 3,2, 1,2, 3,2, 3,2.5, 1,2, 3,2.5, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 2,3, 1,2, 2,3, 1.33333,3, 1,2, 1.33333,3, 1,3, 1,2, 1,3, 1,2.5, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2,4, 1,4, 2,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 2,5, 1,4, 2,5, 1,5, 3,0, 4,1, 4,2, 3,0, 4,2, 3.5,2.5, 3,0, 3.5,2.5, 3,2.5, 3,0, 3,2.5, 3,2, 3,0, 3,2, 3,1.66667, 3,0, 3,1.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 3,2, 2.66667,2, 3,1.66667, 3,3, 3,2.5, 3.5,2.5, 3,3, 3.5,2.5, 4,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,5, 3,3, 3,5, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 3,1.33333, 2.66667,1, 3,1, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3,
4,4, 3,5, 1,5, 4,4, 1,5, 0,4, 4,4, 0,4, 1,4, 4,4, 1,4, 1.33333,4, 4,4, 1.33333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 4,4, 3,4, 3,3.66667, 4,4, 3,3.66667, 3,3.33333, 4,4, 3,3.33333, 3,3, 4,4, 3,3, 4,3, 4,3, 3,3, 2.66667,3, 4,3, 2.66667,3, 1.33333,3, 4,3, 1.33333,3, 1,3, 4,3, 1,3, 0,3, 4,3, 0,3, 1,2, 4,3, 1,2, 2.66667,2, 4,3, 2.66667,2, 3,2, 4,3, 3,2, 4,2, 4,2, 3,2, 3,1.66667, 4,2, 3,1.66667, 3,1.33333, 4,2, 3,1.33333, 3,1, 4,2, 3,1, 4,1, 3,4, 2.66667,4, 3,3.66667, 3,3, 3,3.33333, 2.66667,3, 3,1, 3,1.33333, 2.66667,1, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 1,4, 0,4, 0,3, 1,4, 0,3, 1,3, 1,4, 1,3, 1,3.33333, 1,4, 1,3.33333, 1,3.66667, 1.33333,3, 1,3.33333, 1,3, 1,3.66667, 1.33333,4, 1,4,
0,3.33333, 0.333333,3, 0.666667,3, 0,3.33333, 0.666667,3, 1,3.33333, 0,3.33333, 1,3.33333, 1,3.66667, 0,3.33333, 1,3.66667, 0.666667,4, 0,3.33333, 0.666667,4, 0.333333,4, 0,3.33333, 0.333333,4, 0,3.66667, 0,1.33333, 0.333333,1, 0.666667,1, 0,1.33333, 0.666667,1, 1,1.33333, 0,1.33333, 1,1.33333, 1,1.66667, 0,1.33333, 1,1.66667, 0.666667,2, 0,1.33333, 0.666667,2, 0.333333,2, 0,1.33333, 0.333333,2, 0,1.66667,
1,1, 0.666667,1, 1,0, 0,3.33333, 0.333333,3, 0.666667,3, 0,3.33333, 0.666667,3, 1,3.33333, 0,3.33333, 1,3.33333, 1,3.66667, 0,3.33333, 1,3.66667, 0.666667,4, 0,3.33333, 0.666667,4, 0.333333,4, 0,3.33333, 0.333333,4, 0,3.66667, 1,1.66667, 0.666667,2, 0.333333,2, 1,1.66667, 0.333333,2, 0,1.66667, 1,1.66667, 0,1.66667, 0,1.33333, 1,1.66667, 0,1.33333, 0.333333,1, 1,1.66667, 0.333333,1, 0.666667,1, 1,1.66667, 0.666667,1, 1,1,
0,2.5, 1,2.5, 2.5,4, 0,2.5, 2.5,4, 2.5,4.5, 0,2.5, 2.5,4.5, 2,4.5, 2,0.5, 2.5,0.5, 2.5,1, 2,0.5, 2.5,1, 1,2.5, 2,0.5, 1,2.5, 0,2.5,
4,1.66667, 3.66667,2, 0.333333,2, 4,1.66667, 0.333333,2, 0,1.66667, 4,1.66667, 0,1.66667, 0,1.33333, 4,1.66667, 0,1.33333, 0.333333,1, 4,1.66667, 0.333333,1, 3.66667,1, 4,1.66667, 3.66667,1, 4,1.33333, 4,3.66667, 3.66667,4, 0.333333,4, 4,3.66667, 0.333333,4, 0,3.66667, 4,3.66667, 0,3.66667, 0,3.33333, 4,3.66667, 0,3.33333, 0.333333,3, 4,3.66667, 0.333333,3, 3.66667,3, 4,3.66667, 3.66667,3, 4,3.33333,
2.5,2.5, 1.5,2.5, 0,1, 2.5,2.5, 0,1, 0,0.5, 2.5,2.5, 0,0.5, 0.5,0.5, 0.5,4.5, 0,4.5, 0,4, 0.5,4.5, 0,4, 1.5,2.5, 0.5,4.5, 1.5,2.5, 2.5,2.5,
1,2.333, 1,1.83333, 1.33333,1.5, 1,2.333, 1.33333,1.5, 1.66667,1.5, 1,2.333, 1.66667,1.5, 2,1.83333, 1,2.333, 2,1.83333, 2,2.333, 2,2.333, 3,2.333, 4,3.333, 2,2.333, 4,3.333, 3,3.333, 2,2.333, 3,3.333, 2.66667,3.333, 2,2.333, 2.66667,3.333, 1.33333,3.333, 2,2.333, 1.33333,3.333, 1,2.99967, 2,2.333, 1,2.99967, 1,2.333, 3,3.333, 4,3.333, 4,4, 3,3.333, 4,4, 3,4, 3,3.333, 3,4, 3,3.6664, 4,4, 3,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 2.66667,4, 4,4, 2.66667,4, 3,4, 2.66667,4, 3,3.6664, 3,4, 3,3.6664, 2.66667,3.333, 3,3.333, 1,0.333333, 1.33333,0, 1.66667,0, 1,0.333333, 1.66667,0, 2,0.333333, 1,0.333333, 2,0.333333, 2,0.666667, 1,0.333333, 2,0.666667, 1.66667,1, 1,0.333333, 1.66667,1, 1.33333,1, 1,0.333333, 1.33333,1, 1,0.666667,
1,2, 1,3.66667, 1,4, 1,2, 1,4, -3.18408e-15,4, 1,2, -3.18408e-15,4, -3.06162e-15,2, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4, 1,4, 4,4, 5,4, 1,4, 5,4, 4,5, 1,4, 4,5, 1,5, 1,4, 1,5, -3.18408e-15,4, 1.6,1, 2.6,0, 4,0, 1.6,1, 4,0, 4,1, 1.6,1, 4,1, 2.93333,1, 1.6,1, 2.93333,1, 2.6,1, 1.6,1, 2.6,1, 2.6,1.33333, 1.6,1, 2.6,1.33333, 2.6,1.66667, 1.6,1, 2.6,1.66667, 2.6,2, 1.6,1, 2.6,2, 1.6,2, 2.6,1, 2.93333,1, 2.6,1.33333, 2.6,2, 2.6,1.66667, 2.93333,2, 2.6,2, 2.93333,2, 4,2, 2.6,2, 4,2, 4,3, 2.6,2, 4,3, 2.6,3, 2.6,2, 2.6,3, 1.6,2, 4,0, 5,0, 5,4, 4,0, 5,4, 4,4, 4,0, 4,4, 4,3.66667, 4,0, 4,3.66667, 4,3, 4,0, 4,3, 4,2, 4,0, 4,2, 4,1, 3.66667,4, 4,3.66667, 4,4,
0,4, 0,0.333333, 0.333333,0, 0,4, 0.333333,0, 0.666667,0, 0,4, 0.666667,0, 1,0.333333, 0,4, 1,0.333333, 1,2, 0,4, 1,2, 1,3, 0,4, 1,3, 1,3.66667, 0,4, 1,3.66667, 1,4, 1,2, 3,2, 3,3, 1,2, 3,3, 1,3, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 1,4, 1,5, 0,4, 3,2, 3,0.333333, 3.33333,0, 3,2, 3.33333,0, 3.66667,0, 3,2, 3.66667,0, 4,0.333333, 3,2, 4,0.333333, 4,4, 3,2, 4,4, 3,4, 3,2, 3,4, 3,3.66667, 3,2, 3,3.66667, 3,3, 2.66667,4, 3,3.66667, 3,4,
0,0, 3,0, 4,1, 0,0, 4,1, 3,1, 0,0, 3,1, 2.66667,1, 0,0, 2.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 2.66667,4, 0,4, 2.66667,4, 3,4, 0,4, 3,4, 4,4, 0,4, 4,4, 3,5, 0,4, 3,5, 0,5, 1,1, 1,2, 1,3, 1,1, 1,3, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,2, 2.66667,2, 3,2, 1,2, 3,2, 3.5,2, 1,2, 3.5,2, 3.5,2.5, 1,2, 3.5,2.5, 3.5,3, 1,2, 3.5,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 1,3, 3,1, 4,1, 4,2, 3,1, 4,2, 3.5,2, 3,1, 3.5,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,3, 3.5,3, 4,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 4,2, 3.5,2.5, 3.5,2, 2.66667,2, 3,1.66667, 3,2, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1, 3,3.33333, 2.66667,3, 3,3, 3.5,3, 3.5,2.5, 4,3,
0,1, 1,0, 3.66667,0, 0,1, 3.66667,0, 4,0.333333, 0,1, 4,0.333333, 4,0.666667, 0,1, 4,0.666667, 3.66667,1, 0,1, 3.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4,
0,0, 3,0, 4,1, 0,0, 4,1, 3,1, 0,0, 3,1, 2.66667,1, 0,0, 2.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 2.66667,4, 0,4, 2.66667,4, 3,4, 0,4, 3,4, 4,4, 0,4, 4,4, 3,5, 0,4, 3,5, 0,5, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 3,1, 4,1, 4,2, 3,1, 4,2, 4,3, 3,1, 4,3, 4,4, 3,1, 4,4, 3,4, 3,1, 3,4, 3,3.66667, 3,1, 3,3.66667, 3,1.33333, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 0,4, 1,4, 3.66667,4, 0,4, 3.66667,4, 4,4.33333, 0,4, 4,4.33333, 4,4.66667, 0,4, 4,4.66667, 3.66667,5, 0,4, 3.66667,5, 0,5, 1,1, 1,2, 1,3, 1,1, 1,3, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,2, 2.66667,2, 3,2.33333, 1,2, 3,2.33333, 3,2.66667, 1,2, 3,2.66667, 2.66667,3, 1,2, 2.66667,3, 1,3,
0,5, 0,0.333333, 0.333333,0, 0,5, 0.333333,0, 0.666667,0, 0,5, 0.666667,0, 1,0.333333, 0,5, 1,0.333333, 1,2, 0,5, 1,2, 1,3, 0,5, 1,3, 1,4, 0,5, 1,4, 1,5, 1,2, 2.66667,2, 3,2.33333, 1,2, 3,2.33333, 3,2.66667, 1,2, 3,2.66667, 2.66667,3, 1,2, 2.66667,3, 1,3, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5,
0,1, 1,0, 3,0, 0,1, 3,0, 3,1, 0,1, 3,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,0, 4,0, 4,3, 3,0, 4,3, 3,3, 3,0, 3,3, 3,2, 3,0, 3,2, 3,1, 3,3, 2.33333,3, 2,2.66667, 3,3, 2,2.66667, 2,2.33333, 3,3, 2,2.33333, 2.33333,2, 3,3, 2.33333,2, 3,2,
1,2, 3,2, 3,3, 1,2, 3,3, 1,3, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, -3.5923e-15,4.66667, 1,3, -3.5923e-15,4.66667, -3.32696e-15,0.333333, 1,3, -3.32696e-15,0.333333, 0.333333,0, 1,3, 0.333333,0, 0.666667,0, 1,3, 0.666667,0, 1,0.333333, 1,3, 1,0.333333, 1,2, 3,2, 3,0.333333, 3.33333,0, 3,2, 3.33333,0, 3.66667,0, 3,2, 3.66667,0, 4,0.333333, 3,2, 4,0.333333, 4,4.66667, 3,2, 4,4.66667, 3.66667,5, 3,2, 3.66667,5, 3.33333,5, 3,2, 3.33333,5, 3,4.66667, 3,2, 3,4.66667, 3,3,
1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 2.66667,0, 1,1, 2.66667,0, 3,0.333333, 1,1, 3,0.333333, 3,0.666667, 1,1, 3,0.666667, 2.66667,1, 1,1, 2.66667,1, 2,1, 2,1, 2,4, 1,4, 2,1, 1,4, 1,1, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 0.333333,5, 2,4, 0.333333,5, 0,4.66667, 2,4, 0,4.66667, 0,4.33333, 2,4, 0,4.33333, 0.333333,4, 2,4, 0.333333,4, 1,4,
0,1, 1,0, 3,0, 0,1, 3,0, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.66667,1, 0,1, 2.66667,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,1.66667, 1,1, 1,1.66667, 0.666667,2, 1,1, 0.666667,2, 0.333333,2, 1,1, 0.333333,2, 0,1.66667, 1,1, 0,1.66667, 0,1, 1,1, 1.33333,1, 1,1.33333, 3,1, 4,1, 4,4.66667, 3,1, 4,4.66667, 3.66667,5, 3,1, 3.66667,5, 3.33333,5, 3,1, 3.33333,5, 3,4.66667, 3,1, 3,4.66667, 3,1.33333, 3,1.33333, 2.66667,1, 3,1,
3,5, 1,3, 1,2.5, 3,5, 1,2.5, 1.83333,2.5, 3,5, 1.83333,2.5, 4,4.66667, 3,5, 4,4.66667, 4,5, 4,0, 4,0.333333, 1.83333,2.5, 4,0, 1.83333,2.5, 1,2.5, 4,0, 1,2.5, 1,2, 4,0, 1,2, 3,0, 1,4.66667, 0.666667,5, 0.333333,5, 1,4.66667, 0.333333,5, 0,4.66667, 1,4.66667, 0,4.66667, 0,0.333333, 1,4.66667, 0,0.333333, 0.333333,0, 1,4.66667, 0.333333,0, 0.666667,0, 1,4.66667, 0.666667,0, 1,0.333333, 1,4.66667, 1,0.333333, 1,2, 1,4.66667, 1,2, 1,2.5, 1,4.66667, 1,2.5, 1,3,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 1,1, 1,4.66667, 0.666667,5, 1,1, 0.666667,5, 0.333333,5, 1,1, 0.333333,5, 0,4.66667, 1,1, 0,4.66667, 0,1,
0,5, 0,0.333333, 0.333333,0, 0,5, 0.333333,0, 0.666667,0, 0,5, 0.666667,0, 1,0.333333, 0,5, 1,0.333333, 1,3.66667, 0,5, 1,3.66667, 1,5, 1,5, 1,3.66667, 2,2.66667, 1,5, 2,2.66667, 2,4, 2,4, 2,2.66667, 3,3.66667, 2,4, 3,3.66667, 3,5, 3,5, 3,3.66667, 3,0.333333, 3,5, 3,0.333333, 3.33333,0, 3,5, 3.33333,0, 3.66667,0, 3,5, 3.66667,0, 4,0.333333, 3,5, 4,0.333333, 4,5,
1,2.83333, 3,0.833333, 3,2.16667, 1,2.83333, 3,2.16667, 1,4.16667, 3,0.833333, 3,0.333333, 3.33333,0, 3,0.833333, 3.33333,0, 3.66667,0, 3,0.833333, 3.66667,0, 4,0.333333, 3,0.833333, 4,0.333333, 4,4.66667, 3,0.833333, 4,4.66667, 3.66667,5, 3,0.833333, 3.66667,5, 3.33333,5, 3,0.833333, 3.33333,5, 3,4.66667, 3,0.833333, 3,4.66667, 3,2.16667, 1,4.16667, 1,4.66667, 0.666667,5, 1,4.16667, 0.666667,5, 0.333333,5, 1,4.16667, 0.333333,5, 0,4.66667, 1,4.16667, 0,4.66667, 0,0.333333, 1,4.16667, 0,0.333333, 0.333333,0, 1,4.16667, 0.333333,0, 0.666667,0, 1,4.16667, 0.666667,0, 1,0.333333, 1,4.16667, 1,0.333333, 1,2.83333,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,3.66667, 0,1, 1,3.66667, 1,4, 0,1, 1,4, 1,5, 0,1, 1,5, 0,4, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 3,5, 1,4, 3,5, 1,5, 3,0, 4,1, 4,4, 3,0, 4,4, 3,5, 3,0, 3,5, 3,4, 3,0, 3,4, 3,3.66667, 3,0, 3,3.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 2.66667,4, 3,3.66667, 3,4, 3,1.33333, 2.66667,1, 3,1,
-3.9801e-15,5, -3.69435e-15,0.333333, 0.333333,0, -3.9801e-15,5, 0.333333,0, 0.666667,0, -3.9801e-15,5, 0.666667,0, 1,0.333333, -3.9801e-15,5, 1,0.333333, 1,2, -3.9801e-15,5, 1,2, 1,3, -3.9801e-15,5, 1,3, 1,4, -3.9801e-15,5, 1,4, 1,5, 1,2, 3,2, 4,3, 1,2, 4,3, 3,3, 1,2, 3,3, 2.66667,3, 1,2, 2.66667,3, 1,3, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3,
0,1, 1,0, 3,0, 0,1, 3,0, 3.25,0.25, 0,1, 3.25,0.25, 3.75,0.75, 0,1, 3.75,0.75, 4,1, 0,1, 4,1, 3,1, 0,1, 3,1, 2.5,1, 0,1, 2.5,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 1,4, 1,1, 1,4, 0,4, 1,1, 0,4, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2.66667,4, 1,4, 2.66667,4, 3,4, 1,4, 3,4, 4,4, 1,4, 4,4, 3,5, 1,4, 3,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,4, 3,1, 4,4, 3,4, 3,1, 3,4, 3,3.66667, 3,1, 3,3.66667, 3,1.5, 2.66667,4, 3,3.66667, 3,4, 3,1.5, 2.5,2, 2,1.5, 3,1.5, 2,1.5, 2.5,1, 3,1.5, 2.5,1, 3,1, 4,0.5, 3.75,0.75, 3.25,0.25, 4,0.5, 3.25,0.25, 3.5,0,
0,5, 0,4, 1,4, 0,5, 1,4, 2.66667,4, 0,5, 2.66667,4, 3,4, 0,5, 3,4, 4,4, 0,5, 4,4, 3,5, 1,2, 3,0, 4,0, 1,2, 4,0, 4,0.333333, 1,2, 4,0.333333, 2.33333,2, 1,4, 0,4, 0,3, 1,4, 0,3, 1,3, 3,3, 4,3, 4,4, 3,3, 4,4, 3,4, 3,3, 3,4, 3,3.66667, 3,3, 3,3.66667, 3,3.33333, 2.66667,4, 3,3.66667, 3,4, 3,3.33333, 2.66667,3, 3,3, 2.33333,2, 3,2, 4,3, 2.33333,2, 4,3, 3,3, 2.33333,2, 3,3, 2.66667,3, 2.33333,2, 2.66667,3, 1,3, 2.33333,2, 1,3, 0,3, 2.33333,2, 0,3, 0,2, 2.33333,2, 0,2, 1,2, 0,0.333333, 0.333333,0, 0.666667,0, 0,0.333333, 0.666667,0, 1,0.333333, 0,0.333333, 1,0.333333, 1,2, 0,0.333333, 1,2, 0,2,
0,3, 1,2, 2.66667,2, 0,3, 2.66667,2, 3,2, 0,3, 3,2, 4,2, 0,3, 4,2, 3,3, 0,3, 3,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 0,3, 1,3, 1,3.33333, 0,3, 1,3.33333, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,3, 1.33333,3, 1,3.33333, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 3.66667,4, 1,4, 3.66667,4, 4,4.33333, 1,4, 4,4.33333, 4,4.66667, 1,4, 4,4.66667, 3.66667,5, 1,4, 3.66667,5, 1,5, 1,4, 1,5, 0,4, 3,1, 4,1, 4,2, 3,1, 4,2, 3,2, 3,1, 3,2, 3,1.66667, 3,1, 3,1.66667, 3,1.33333, 3,1, 2.66667,1, 0.333333,1, 3,1, 0.333333,1, 0,0.666667, 3,1, 0,0.666667, 0,0.333333, 3,1, 0,0.333333, 0.333333,0, 3,1, 0.333333,0, 3,0, 3,1, 3,0, 4,1, 2.66667,2, 3,1.66667, 3,2, 3,1.33333, 2.66667,1, 3,1,
1.5,4, 1.5,0.333333, 1.83333,0, 1.5,4, 1.83333,0, 2.16667,0, 1.5,4, 2.16667,0, 2.5,0.333333, 1.5,4, 2.5,0.333333, 2.5,4, 2.5,4, 3.66667,4, 4,4.33333, 2.5,4, 4,4.33333, 4,4.66667, 2.5,4, 4,4.66667, 3.66667,5, 2.5,4, 3.66667,5, 0.333333,5, 2.5,4, 0.333333,5, 0,4.66667, 2.5,4, 0,4.66667, 0,4.33333, 2.5,4, 0,4.33333, 0.333333,4, 2.5,4, 0.333333,4, 1.5,4,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,4.66667, 0,1, 1,4.66667, 0.666667,5, 0,1, 0.666667,5, 0.333333,5, 0,1, 0.333333,5, 0,4.66667, 1,0, 3,0, 3,1, 1,0, 3,1, 2.66667,1, 1,0, 2.66667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 3,0, 4,1, 4,4.66667, 3,0, 4,4.66667, 3.66667,5, 3,0, 3.66667,5, 3.33333,5, 3,0, 3.33333,5, 3,4.66667, 3,0, 3,4.66667, 3,1.33333, 3,0, 3,1.33333, 3,1, 3,1.33333, 2.66667,1, 3,1,
0,5, 0,4.66667, 1.5,0, 0,5, 1.5,0, 2,0, 0,5, 2,0, 2,1.33333, 0,5, 2,1.33333, 0.916,5, 2.5,0, 4,4.66667, 4,5, 2.5,0, 4,5, 3.084,5, 2.5,0, 3.084,5, 2,1.33333, 2.5,0, 2,1.33333, 2,0,
1,0, 1,1.33333, 1,4.66667, 1,0, 1,4.66667, 0.666667,5, 1,0, 0.666667,5, 0.333333,5, 1,0, 0.333333,5, 0,4.66667, 1,0, 0,4.66667, 0,0, 2,1, 2,2.33333, 1,1.33333, 2,1, 1,1.33333, 1,0, 3,0, 3,1.33333, 2,2.33333, 3,0, 2,2.33333, 2,1, 4,0, 4,4.66667, 3.66667,5, 4,0, 3.66667,5, 3.33333,5, 4,0, 3.33333,5, 3,4.66667, 4,0, 3,4.66667, 3,1.33333, 4,0, 3,1.33333, 3,0,
0.266733,5, -4.33116e-15,4.73327, -4.30667e-15,4.33333, 0.266733,5, -4.30667e-15,4.33333, 1.66667,2.66667, 0.266733,5, 1.66667,2.66667, 2.33334,3.33333, 0.266733,5, 2.33334,3.33333, 0.666667,5, 4.39995,0, 4.66668,0.266733, 4.66668,0.666667, 4.39995,0, 4.66668,0.666667, 3.00001,2.33333, 4.39995,0, 3.00001,2.33333, 2.33334,1.66667, 4.39995,0, 2.33334,1.66667, 4.00001,0, -4.05767e-15,0.266733, 0.266733,0, 0.666667,0, -4.05767e-15,0.266733, 0.666667,0, 2.33334,1.66667, -4.05767e-15,0.266733, 2.33334,1.66667, 1.66667,2.33333, -4.05767e-15,0.266733, 1.66667,2.33333, -4.08216e-15,0.666667, 1.66667,2.33333, 2.33334,1.66667, 3.00001,2.33333, 1.66667,2.33333, 3.00001,2.33333, 3.00001,2.66667, 1.66667,2.33333, 3.00001,2.66667, 2.33334,3.33333, 1.66667,2.33333, 2.33334,3.33333, 1.66667,2.66667, 4.00001,5, 2.33334,3.33333, 3.00001,2.66667, 4.00001,5, 3.00001,2.66667, 4.66668,4.33333, 4.00001,5, 4.66668,4.33333, 4.66668,4.73327, 4.00001,5, 4.66668,4.73327, 4.39995,5,
0,3, 1,2, 1.5,2, 0,3, 1.5,2, 2.5,2, 0,3, 2.5,2, 3,2, 0,3, 3,2, 4,3, 0,3, 4,3, 3,3, 0,3, 3,3, 2.66667,3, 0,3, 2.66667,3, 1.33333,3, 0,3, 1.33333,3, 1,3, 1,3, 1,3.33333, 1,4.66667, 1,3, 1,4.66667, 0.666667,5, 1,3, 0.666667,5, 0.333333,5, 1,3, 0.333333,5, 0,4.66667, 1,3, 0,4.66667, 0,3, 1,3, 1.33333,3, 1,3.33333, 3,3, 4,3, 4,4.66667, 3,3, 4,4.66667, 3.66667,5, 3,3, 3.66667,5, 3.33333,5, 3,3, 3.33333,5, 3,4.66667, 3,3, 3,4.66667, 3,3.33333, 1.5,2, 1.5,0.333333, 1.83333,0, 1.5,2, 1.83333,0, 2.16667,0, 1.5,2, 2.16667,0, 2.5,0.333333, 1.5,2, 2.5,0.333333, 2.5,2, 3,3.33333, 2.66667,3, 3,3,
0,0, 3.66667,0, 4,0.333333, 0,0, 4,0.333333, 4,0.666667, 0,0, 4,0.666667, 3.66667,1, 0,0, 3.66667,1, 1,1, 0,0, 1,1, 0,1, 0,1, 1,1, 4,3.66667, 0,1, 4,3.66667, 4,4, 0,1, 4,4, 3,4, 0,1, 3,4, 0,1.33333, 4,4, 4,5, 0.333333,5, 4,4, 0.333333,5, 0,4.66667, 4,4, 0,4.66667, 0,4.33333, 4,4, 0,4.33333, 0.333333,4, 4,4, 0.333333,4, 3,4,
1,0, 1.66667,0, 2,0.333333, 1,0, 2,0.333333, 2,0.666667, 1,0, 2,0.666667, 1.66667,1, 1,0, 1.66667,1, 1,1, 1,1, 1,4, 1,5, 1,1, 1,5, 0,5, 1,1, 0,5, 0,0, 1,1, 0,0, 1,0, 1,4, 1.66667,4, 2,4.33333, 1,4, 2,4.33333, 2,4.66667, 1,4, 2,4.66667, 1.66667,5, 1,4, 1.66667,5, 1,5,
0.122008,4.58173, 0,4.12639, 2.16667,0.373612, 0.122008,4.58173, 2.16667,0.373612, 2.62201,0.251603, 0.122008,4.58173, 2.62201,0.251603, 2.91068,0.41827, 0.122008,4.58173, 2.91068,0.41827, 3.03269,0.873612, 0.122008,4.58173, 3.03269,0.873612, 0.866025,4.62639, 0.122008,4.58173, 0.866025,4.62639, 0.410684,4.7484,
1,0, 2,0, 2,5, 1,0, 2,5, 1,5, 1,0, 1,5, 1,4, 1,0, 1,4, 1,1, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 1,4,
2.33333,4, 2.66667,4, 4,4, 2.33333,4, 4,4, 3,5, 2.33333,4, 3,5, 2,5, 2.33333,4, 2,5, 1,4, 2.66667,4, 3.66667,3, 4.02867,3.02867, 2.66667,4, 4.02867,3.02867, 4.30467,3.30467, 2.66667,4, 4.30467,3.30467, 4.33333,3.66667, 2.66667,4, 4.33333,3.66667, 4,4, 1.33333,3, 2.33333,4, 1,4, 1.33333,3, 1,4, 0.666667,3.66667, 1.33333,3, 0.666667,3.66667, 0.695333,3.30467, 1.33333,3, 0.695333,3.30467, 0.971333,3.02867,
4.5,0.666667, 4.16667,1, 0.333333,1, 4.5,0.666667, 0.333333,1, 0,0.666667, 4.5,0.666667, 0,0.666667, 0,0.333333, 4.5,0.666667, 0,0.333333, 0.333333,0, 4.5,0.666667, 0.333333,0, 4.16667,0, 4.5,0.666667, 4.16667,0, 4.5,0.333333,
-4.59243e-15,3, 0.333333,4, -4.65366e-15,4, 1,4.66667, 0.666667,5, 0.333333,5, 1,4.66667, 0.333333,5, -4.69448e-15,4.66667, 1,4.66667, -4.69448e-15,4.66667, -4.65366e-15,4, 1,4.66667, -4.65366e-15,4, 0.333333,4, 1,4.66667, 0.333333,4, 0.666667,4, 1,4.66667, 0.666667,4, 1,4.33333,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2.66667, 0,1, 1,2.66667, 1,3, 0,1, 1,3, 1,4, 0,1, 1,4, 0,3, 1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 2.667,3, 1,3, 2.667,3, 2.667,4, 1,3, 2.667,4, 1,4, 2.667,0, 3.667,0, 3.667,1, 2.667,0, 3.667,1, 3.667,3, 2.667,0, 3.667,3, 3.667,4, 2.667,0, 3.667,4, 2.667,4, 2.667,0, 2.667,4, 2.667,3, 2.667,0, 2.667,3, 2.667,1,
0,0, 2.667,0, 2.667,1, 0,0, 2.667,1, 2.33367,1, 0,0, 2.33367,1, 1,1, 0,0, 1,1, 0,1, 1,1, 1,2.333, 1,3.333, 1,1, 1,3.333, 1,4.99967, 1,1, 1,4.99967, 0.666667,5.333, 1,1, 0.666667,5.333, 0.333333,5.333, 1,1, 0.333333,5.333, 0,4.99967, 1,1, 0,4.99967, 0,1, 1,2.333, 2.33367,2.333, 2.667,2.333, 1,2.333, 2.667,2.333, 2.667,3.333, 1,2.333, 2.667,3.333, 1,3.333, 2.667,0, 3.667,1, 3.667,2.333, 2.667,0, 3.667,2.333, 2.667,3.333, 2.667,0, 2.667,3.333, 2.667,2.333, 2.667,0, 2.667,2.333, 2.667,1.99967, 2.667,0, 2.667,1.99967, 2.667,1.33333, 2.667,0, 2.667,1.33333, 2.667,1, 2.33367,2.333, 2.667,1.99967, 2.667,2.333, 2.667,1.33333, 2.33367,1, 2.667,1,
0,1, 1,0, 3.00037,0, 0,1, 3.00037,0, 3.3337,0.333333, 0,1, 3.3337,0.333333, 3.3337,0.666667, 0,1, 3.3337,0.666667, 3.00037,1, 0,1, 3.00037,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,2.66667, 1,1, 1,2.66667, 1,3, 1,1, 1,3, 0,3, 1,1, 0,3, 0,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 3.00037,3, 1,3, 3.00037,3, 3.3337,3.33333, 1,3, 3.3337,3.33333, 3.3337,3.66667, 1,3, 3.3337,3.66667, 3.00037,4, 1,3, 3.00037,4, 1,4, 1,3, 1,4, 0,3,
3.667,1, 2.667,1, 1.33333,1, 3.667,1, 1.33333,1, 1,1, 3.667,1, 1,1, 1,0, 3.667,1, 1,0, 3.667,0, 3.667,1, 3.667,4.99967, 3.33367,5.333, 3.667,1, 3.33367,5.333, 3.00033,5.333, 3.667,1, 3.00033,5.333, 2.667,4.99967, 3.667,1, 2.667,4.99967, 2.667,3.333, 3.667,1, 2.667,3.333, 2.667,2.333, 3.667,1, 2.667,2.333, 2.667,1, 2.667,3.333, 1,3.333, 1,2.333, 2.667,3.333, 1,2.333, 1.33333,2.333, 2.667,3.333, 1.33333,2.333, 2.667,2.333, 1,1, 1.33333,1, 1,1.33333, 1,1, 1,1.33333, 1,1.99967, 1,1, 1,1.99967, 1,2.333, 1,1, 1,2.333, 1,3.333, 1,1, 1,3.333, 0,2.333, 1,1, 0,2.333, 0,1, 1,1, 0,1, 1,0, 1,2.333, 1,1.99967, 1.33333,2.333,
0,1, 1,0, 3.33367,0, 0,1, 3.33367,0, 3.667,0.333333, 0,1, 3.667,0.333333, 3.667,0.666667, 0,1, 3.667,0.666667, 3.33367,1, 0,1, 3.33367,1, 1.33333,1, 0,1, 1.33333,1, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,1.667, 0,1, 1,1.667, 0,1.667, 0,1.667, 1,1.667, 3.667,1.667, 0,1.667, 3.667,1.667, 3.667,2.667, 0,1.667, 3.667,2.667, 2.667,2.667, 0,1.667, 2.667,2.667, 1,2.667, 0,1.667, 1,2.667, 0,2.667, 0,2.667, 1,2.667, 1,3.00067, 0,2.667, 1,3.00067, 1,3.334, 0,2.667, 1,3.334, 0,3.334, 1,1, 1.33333,1, 1,1.33333, 1,3.334, 1,3.00067, 1.33333,3.334, 1,3.334, 1.33333,3.334, 2.33367,3.334, 1,3.334, 2.33367,3.334, 2.667,3.334, 1,3.334, 2.667,3.334, 3.667,3.334, 1,3.334, 3.667,3.334, 2.667,4.334, 1,3.334, 2.667,4.334, 1,4.334, 1,3.334, 1,4.334, 0,3.334, 3.667,2.667, 3.667,3.334, 2.667,3.334, 3.667,2.667, 2.667,3.334, 2.667,3.00067, 3.667,2.667, 2.667,3.00067, 2.667,2.667, 2.33367,3.334, 2.667,3.00067, 2.667,3.334,
1,2, 1,0.333333, 1.33333,0, 1,2, 1.33333,0, 1.66667,0, 1,2, 1.66667,0, 2,0.333333, 1,2, 2,0.333333, 2,2, 1,2, 2,2, 2,3, 1,2, 2,3, 2,3.33333, 1,2, 2,3.33333, 2,3.66667, 1,2, 2,3.66667, 2,4, 1,2, 2,4, 1,4, 1,2, 1,4, 1,3, 1,3, 0.333333,3, 0,2.66667, 1,3, 0,2.66667, 0,2.33333, 1,3, 0,2.33333, 0.333333,2, 1,3, 0.333333,2, 1,2, 2,2, 2.66667,2, 3,2.33333, 2,2, 3,2.33333, 3,2.66667, 2,2, 3,2.66667, 2.66667,3, 2,2, 2.66667,3, 2,3, 2,4, 2,3.66667, 2.33333,4, 2,4, 2.33333,4, 2.66667,4, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 2,5, 2,4, 2,5, 1,4,
0,2.334, 1,1.334, 2.667,1.334, 0,2.334, 2.667,1.334, 3.667,1.334, 0,2.334, 3.667,1.334, 3.667,2.334, 0,2.334, 3.667,2.334, 2.667,2.334, 0,2.334, 2.667,2.334, 1.33333,2.334, 0,2.334, 1.33333,2.334, 1,2.334, 0,2.334, 1,2.334, 1,2.6674, 0,2.334, 1,2.6674, 1,3.001, 0,2.334, 1,3.001, 0,3.001, 1,2.334, 1.33333,2.334, 1,2.6674, 1,3.001, 1,2.6674, 1.33333,3.001, 1,3.001, 1.33333,3.001, 2.667,3.001, 1,3.001, 2.667,3.001, 3.667,3.001, 1,3.001, 3.667,3.001, 3.667,4.001, 1,3.001, 3.667,4.001, 1,4.001, 1,3.001, 1,4.001, 0,3.001, 2.667,-0.333, 2.667,0.667, 2.33367,0.667, 2.667,-0.333, 2.33367,0.667, 1.00033,0.667, 2.667,-0.333, 1.00033,0.667, 0.667,0.333667, 2.667,-0.333, 0.667,0.333667, 0.667,0.00033333, 2.667,-0.333, 0.667,0.00033333, 1.00033,-0.333, 2.667,-0.333, 3.667,0.667, 3.667,1.334, 2.667,-0.333, 3.667,1.334, 2.667,1.334, 2.667,-0.333, 2.667,1.334, 2.667,1.00033, 2.667,-0.333, 2.667,1.00033, 2.667,0.667, 2.667,2.334, 3.667,2.334, 3.667,3.001, 2.667,2.334, 3.667,3.001, 2.667,3.001, 2.667,1.00033, 2.33367,0.667, 2.667,0.667,
-4.91898e-15,2.333, 1,2.333, 2.33367,2.333, -4.91898e-15,2.333, 2.33367,2.333, 2.667,2.333, -4.91898e-15,2.333, 2.667,2.333, 3.667,2.333, -4.91898e-15,2.333, 3.667,2.333, 2.667,3.333, -4.91898e-15,2.333, 2.667,3.333, 1,3.333, -4.91898e-15,2.333, 1,3.333, -4.98021e-15,3.333, -4.91898e-15,2.333, -4.79653e-15,0.333333, 0.333333,0, -4.91898e-15,2.333, 0.333333,0, 0.666667,0, -4.91898e-15,2.333, 0.666667,0, 1,0.333333, -4.91898e-15,2.333, 1,0.333333, 1,2.333, 1,3.333, 1,4.99967, 0.666667,5.333, 1,3.333, 0.666667,5.333, 0.333333,5.333, 1,3.333, 0.333333,5.333, -5.08226e-15,4.99967, 1,3.333, -5.08226e-15,4.99967, -4.98021e-15,3.333, 2.667,2.333, 2.667,1.99967, 2.667,0.333333, 2.667,2.333, 2.667,0.333333, 3.00033,0, 2.667,2.333, 3.00033,0, 3.33367,0, 2.667,2.333, 3.33367,0, 3.667,0.333333, 2.667,2.333, 3.667,0.333333, 3.667,2.333, 2.33367,2.333, 2.667,1.99967, 2.667,2.333,
0.666667,0, 1,0.333333, 1,3.33267, 0.666667,0, 1,3.33267, 0.666667,3.666, 0.666667,0, 0.666667,3.666, 0.333333,3.666, 0.666667,0, 0.333333,3.666, 0,3.33267, 0.666667,0, 0,3.33267, 0,0.333333, 0.666667,0, 0,0.333333, 0.333333,0, 0,4.66633, 0.333333,4.333, 0.666667,4.333, 0,4.66633, 0.666667,4.333, 1,4.66633, 0,4.66633, 1,4.66633, 1,4.99967, 0,4.66633, 1,4.99967, 0.666667,5.333, 0,4.66633, 0.666667,5.333, 0.333333,5.333, 0,4.66633, 0.333333,5.333, 0,4.99967,
1,4.66633, 1.33333,4.333, 1.66667,4.333, 1,4.66633, 1.66667,4.333, 2,4.66633, 1,4.66633, 2,4.66633, 2,4.99967, 1,4.66633, 2,4.99967, 1.66667,5.333, 1,4.66633, 1.66667,5.333, 1.33333,5.333, 1,4.66633, 1.33333,5.333, 1,4.99967, 1,-0.333, 2,0.667, 2,3.33267, 1,-0.333, 2,3.33267, 1.66667,3.666, 1,-0.333, 1.66667,3.666, 1.33333,3.666, 1,-0.333, 1.33333,3.666, 1,3.33267, 1,-0.333, 1,3.33267, 1,1.00033, 1,-0.333, 1,1.00033, 1,0.667, 1,0.667, 0.666667,0.667, 0.333333,0.667, 1,0.667, 0.333333,0.667, 0,0.333667, 1,0.667, 0,0.333667, 0,0.00033333, 1,0.667, 0,0.00033333, 0.333333,-0.333, 1,0.667, 0.333333,-0.333, 1,-0.333, 1,1.00033, 0.666667,0.667, 1,0.667,
1,2.1666, 1.66667,2.1666, 2.66633,3.1347, 1,2.1666, 2.66633,3.1347, 2.66633,3.63463, 1,2.1666, 2.66633,3.63463, 1.99967,3.63463, 1,2.1666, 1.99967,3.63463, 1,2.63497, 1,1.66667, 2.66667,0, 3.33333,0, 1,1.66667, 3.33333,0, 3.33333,0.499933, 1,1.66667, 3.33333,0.499933, 1.66667,2.1666, 1,1.66667, 1.66667,2.1666, 1,2.1666, 1,2.63497, 1,4.66667, 0.666667,5, 1,2.63497, 0.666667,5, 0.333333,5, 1,2.63497, 0.333333,5, 0,4.66667, 1,2.63497, 0,4.66667, 0,0.333333, 1,2.63497, 0,0.333333, 0.333333,0, 1,2.63497, 0.333333,0, 0.666667,0, 1,2.63497, 0.666667,0, 1,0.333333, 1,2.63497, 1,0.333333, 1,1.66667, 1,2.63497, 1,1.66667, 1,2.1666,
0,1, 0,0.333333, 0.333333,0, 0,1, 0.333333,0, 1.66667,0, 0,1, 1.66667,0, 2,0.333333, 0,1, 2,0.333333, 2,0.666667, 0,1, 2,0.666667, 1.66667,1, 0,1, 1.66667,1, 1,1, 1,1, 1,4.99967, 0.666667,5.333, 1,1, 0.666667,5.333, 0.333333,5.333, 1,1, 0.333333,5.333, 0,4.99967, 1,1, 0,4.99967, 0,1,
0,3, 1,3, 1.667,3, 0,3, 1.667,3, 2.667,3, 0,3, 2.667,3, 3.00067,3, 0,3, 3.00067,3, 3.334,3, 0,3, 3.334,3, 4.334,3, 0,3, 4.334,3, 3.334,4, 0,3, 3.334,4, 0,4, 0,3, 0,0.333333, 0.333333,0, 0,3, 0.333333,0, 0.666667,0, 0,3, 0.666667,0, 1,0.333333, 0,3, 1,0.333333, 1,3, 1.667,3, 1.667,0.333333, 2.00033,0, 1.667,3, 2.00033,0, 2.33367,0, 1.667,3, 2.33367,0, 2.667,0.333333, 1.667,3, 2.667,0.333333, 2.667,3, 3.334,3, 3.334,2.66667, 3.334,0.333333, 3.334,3, 3.334,0.333333, 3.66733,0, 3.334,3, 3.66733,0, 4.00067,0, 3.334,3, 4.00067,0, 4.334,0.333333, 3.334,3, 4.334,0.333333, 4.334,3, 3.00067,3, 3.334,2.66667, 3.334,3,
0,3, 1,3, 2.33367,3, 0,3, 2.33367,3, 2.667,3, 0,3, 2.667,3, 2.667,4, 0,3, 2.667,4, 0,4, 0,3, 0,0.333333, 0.333333,0, 0,3, 0.333333,0, 0.666667,0, 0,3, 0.666667,0, 1,0.333333, 0,3, 1,0.333333, 1,3, 2.667,3, 2.667,2.66667, 2.667,0.333333, 2.667,3, 2.667,0.333333, 3.00033,0, 2.667,3, 3.00033,0, 3.33367,0, 2.667,3, 3.33367,0, 3.667,0.333333, 2.667,3, 3.667,0.333333, 3.667,3, 2.667,3, 3.667,3, 2.667,4, 2.33367,3, 2.667,2.66667, 2.667,3,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2.66667, 0,1, 1,2.66667, 1,3, 0,1, 1,3, 1,4, 0,1, 1,4, 0,3, 1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 2.33367,1, 1,0, 2.33367,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,3, 1,2.66667, 1.33333,3, 1,3, 1.33333,3, 2.33367,3, 1,3, 2.33367,3, 2.667,3, 1,3, 2.667,3, 2.667,4, 1,3, 2.667,4, 1,4, 2.667,0, 3.667,1, 3.667,3, 2.667,0, 3.667,3, 2.667,4, 2.667,0, 2.667,4, 2.667,3, 2.667,0, 2.667,3, 2.667,2.66667, 2.667,0, 2.667,2.66667, 2.667,1.33333, 2.667,0, 2.667,1.33333, 2.667,1, 2.33367,3, 2.667,2.66667, 2.667,3, 2.667,1.33333, 2.33367,1, 2.667,1,
-5.20475e-15,1, 1,1, 2,1, -5.20475e-15,1, 2,1, 2.667,1, -5.20475e-15,1, 2.667,1, 3.667,2, -5.20475e-15,1, 3.667,2, 2.667,2, -5.20475e-15,1, 2.667,2, 2.33367,2, -5.20475e-15,1, 2.33367,2, 2,2, -5.20475e-15,1, 2,2, 1,2, -5.20475e-15,1, 1,2, -5.26598e-15,2, -5.20475e-15,1, -5.12315e-15,-0.332667, 0.333333,-0.666, -5.20475e-15,1, 0.333333,-0.666, 0.666667,-0.666, -5.20475e-15,1, 0.666667,-0.666, 1,-0.332667, -5.20475e-15,1, 1,-0.332667, 1,1, -5.26598e-15,2, 1,2, 1,3, -5.26598e-15,2, 1,3, -5.32721e-15,3, -5.32721e-15,3, 1,3, 2,3, -5.32721e-15,3, 2,3, 2.33367,3, -5.32721e-15,3, 2.33367,3, 2.667,3, -5.32721e-15,3, 2.667,3, 3.667,3, -5.32721e-15,3, 3.667,3, 2.667,4, -5.32721e-15,3, 2.667,4, 2,4, -5.32721e-15,3, 2,4, 1,4, -5.32721e-15,3, 1,4, -5.38845e-15,4, 2.667,2, 3.667,2, 3.667,3, 2.667,2, 3.667,3, 2.667,3, 2.667,2, 2.667,3, 2.667,2.66667, 2.667,2, 2.667,2.66667, 2.667,2.33333, 2.33367,3, 2.667,2.66667, 2.667,3, 2.667,2.33333, 2.33367,2, 2.667,2,
3.667,2, 2.667,2, 1.667,2, 3.667,2, 1.667,2, 1.33333,2, 3.667,2, 1.33333,2, 1,2, 3.667,2, 1,2, 0,2, 3.667,2, 0,2, 1,1, 3.667,2, 1,1, 1.667,1, 3.667,2, 1.667,1, 2.667,1, 3.667,2, 2.667,1, 3.667,1, 3.667,3, 2.667,3, 2.667,2, 3.667,3, 2.667,2, 3.667,2, 3.667,4, 2.667,4, 1.667,4, 3.667,4, 1.667,4, 1,4, 3.667,4, 1,4, 0,3, 3.667,4, 0,3, 1,3, 3.667,4, 1,3, 1.33333,3, 3.667,4, 1.33333,3, 1.667,3, 3.667,4, 1.667,3, 2.667,3, 3.667,4, 2.667,3, 3.667,3, 2.667,1, 2.667,-0.332667, 3.00033,-0.666, 2.667,1, 3.00033,-0.666, 3.33367,-0.666, 2.667,1, 3.33367,-0.666, 3.667,-0.332667, 2.667,1, 3.667,-0.332667, 3.667,1, 1,2, 1.33333,2, 1,2.33333, 1,3, 1,2.66667, 1.33333,3, 1,2.33333, 1,2.66667, 1,3, 1,2.33333, 1,3, 0,3, 1,2.33333, 0,3, 0,2, 1,2.33333, 0,2, 1,2,
1,3, 1,2.66667, 1.33333,3, 1,3.66667, 0.666667,4, 0.333333,4, 1,3.66667, 0.333333,4, 0,3.66667, 1,3.66667, 0,3.66667, 0,0.333333, 1,3.66667, 0,0.333333, 0.333333,0, 1,3.66667, 0.333333,0, 0.666667,0, 1,3.66667, 0.666667,0, 1,0.333333, 1,3.66667, 1,0.333333, 1,2.66667, 1,3.66667, 1,2.66667, 1,3, 1.33333,3, 2.66667,3, 3,3.33333, 1.33333,3, 3,3.33333, 3,3.66667, 1.33333,3, 3,3.66667, 2.66667,4, 1.33333,3, 2.66667,4, 1.33333,4, 1.33333,3, 1.33333,4, 1,3.66667, 1.33333,3, 1,3.66667, 1,3,
0,2.667, 1,1.667, 2.00067,1.667, 0,2.667, 2.00067,1.667, 2.334,1.667, 0,2.667, 2.334,1.667, 3.334,1.667, 0,2.667, 3.334,1.667, 2.334,2.667, 0,2.667, 2.334,2.667, 1.33333,2.667, 0,2.667, 1.33333,2.667, 1,2.667, 0,2.667, 1,2.667, 1,3.0006, 0,2.667, 1,3.0006, 1,3.334, 0,2.667, 1,3.334, 0,3.334, 1,2.667, 1.33333,2.667, 1,3.0006, 1,3.334, 1,3.0006, 1.33333,3.334, 1,3.334, 1.33333,3.334, 3.00067,3.334, 1,3.334, 3.00067,3.334, 3.334,3.66733, 1,3.334, 3.334,3.66733, 3.334,4.00067, 1,3.334, 3.334,4.00067, 3.00067,4.334, 1,3.334, 3.00067,4.334, 1,4.334, 1,3.334, 1,4.334, 0,3.334, 2.334,1, 3.334,1, 3.334,1.667, 2.334,1, 3.334,1.667, 2.334,1.667, 2.334,1, 2.334,1.667, 2.334,1.3336, 2.334,1, 2.00067,1, 0.333333,1, 2.334,1, 0.333333,1, 0,0.666667, 2.334,1, 0,0.666667, 0,0.333333, 2.334,1, 0,0.333333, 0.333333,0, 2.334,1, 0.333333,0, 2.334,0, 2.334,1, 2.334,0, 3.334,1, 2.00067,1.667, 2.334,1.3336, 2.334,1.667, 2.334,1.3336, 2.00067,1, 2.334,1,
1,1, 2,0, 2.66667,0, 1,1, 2.66667,0, 3,0.333333, 1,1, 3,0.333333, 3,0.666667, 1,1, 3,0.666667, 2.66667,1, 1,1, 2.66667,1, 2.33333,1, 1,1, 2.33333,1, 2,1, 2,1, 2.33333,1, 2,1.33333, 2,1, 2,1.33333, 2,2.667, 2,1, 2,2.667, 1,2.667, 2,1, 1,2.667, 1,1, 2,2.667, 2.66667,2.667, 3,3.00033, 2,2.667, 3,3.00033, 3,3.33367, 2,2.667, 3,3.33367, 2.66667,3.667, 2,2.667, 2.66667,3.667, 2,3.667, 2,2.667, 2,3.667, 1,3.667, 2,2.667, 1,3.667, 0.333333,3.667, 2,2.667, 0.333333,3.667, 0,3.33367, 2,2.667, 0,3.33367, 0,3.00033, 2,2.667, 0,3.00033, 0.333333,2.667, 2,2.667, 0.333333,2.667, 1,2.667, 2,3.667, 2,4.66667, 1.66667,5, 2,3.667, 1.66667,5, 1.33333,5, 2,3.667, 1.33333,5, 1,4.66667, 2,3.667, 1,4.66667, 1,3.667,
1,0, 2.667,0, 2.667,1, 1,0, 2.667,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 0.666667,4, 1,1, 0.666667,4, 0.333333,4, 1,1, 0.333333,4, 0,3.66667, 1,1, 0,3.66667, 0,1, 1,1, 0,1, 1,0, 1,1, 1.33333,1, 1,1.33333, 2.667,0, 3.667,0, 3.667,3.66667, 2.667,0, 3.667,3.66667, 3.33367,4, 2.667,0, 3.33367,4, 3.00033,4, 2.667,0, 3.00033,4, 2.667,3.66667, 2.667,0, 2.667,3.66667, 2.667,1,
0,4, 0,3.66667, 1.5,0, 0,4, 1.5,0, 2,0, 0,4, 2,0, 2,1.33333, 0,4, 2,1.33333, 0.916,4, 2.5,0, 4,3.66667, 4,4, 2.5,0, 4,4, 3.084,4, 2.5,0, 3.084,4, 2,1.33333, 2.5,0, 2,1.33333, 2,0,
4.334,1, 3.334,1, 2.667,1, 4.334,1, 2.667,1, 1.667,1, 4.334,1, 1.667,1, 1.33333,1, 4.334,1, 1.33333,1, 1,1, 4.334,1, 1,1, 0,1, 4.334,1, 0,1, 1,0, 4.334,1, 1,0, 4.334,0, 4.334,1, 4.334,3.66667, 4.00067,4, 4.334,1, 4.00067,4, 3.66733,4, 4.334,1, 3.66733,4, 3.334,3.66667, 4.334,1, 3.334,3.66667, 3.334,1, 2.667,1, 2.667,3.66667, 2.33367,4, 2.667,1, 2.33367,4, 2.00033,4, 2.667,1, 2.00033,4, 1.667,3.66667, 2.667,1, 1.667,3.66667, 1.667,1, 1,1, 1,1.33333, 1,3.66667, 1,1, 1,3.66667, 0.666667,4, 1,1, 0.666667,4, 0.333333,4, 1,1, 0.333333,4, 0,3.66667, 1,1, 0,3.66667, 0,1, 1.33333,1, 1,1.33333, 1,1,
0.599733,4.334, 0.333,4.06727, 0.333,3.66733, 0.599733,4.334, 0.333,3.66733, 1.66667,2.33333, 0.599733,4.334, 1.66667,2.33333, 2.33334,3.00033, 0.599733,4.334, 2.33334,3.00033, 0.999667,4.334, 4.06695,0.333, 4.33368,0.599733, 4.33368,0.999667, 4.06695,0.333, 4.33368,0.999667, 3.00001,2.33333, 4.06695,0.333, 3.00001,2.33333, 2.33334,1.66667, 4.06695,0.333, 2.33334,1.66667, 3.66701,0.333, 0.333,0.599733, 0.599733,0.333, 0.999667,0.333, 0.333,0.599733, 0.999667,0.333, 2.33334,1.66667, 0.333,0.599733, 2.33334,1.66667, 1.66667,2.33333, 0.333,0.599733, 1.66667,2.33333, 0.333,0.999667, 3.66701,4.334, 2.33334,3.00033, 3.00001,2.33333, 3.66701,4.334, 3.00001,2.33333, 4.33368,3.66733, 3.66701,4.334, 4.33368,3.66733, 4.33368,4.06727, 3.66701,4.334, 4.33368,4.06727, 4.06695,4.334, 2.33334,1.66667, 3.00001,2.33333, 2.33334,3.00033, 2.33334,1.66667, 2.33334,3.00033, 1.66667,2.33333,
0,2.334, 1,1.334, 2.667,1.334, 0,2.334, 2.667,1.334, 3.667,1.334, 0,2.334, 3.667,1.334, 3.667,2.334, 0,2.334, 3.667,2.334, 2.667,2.334, 0,2.334, 2.667,2.334, 1.33333,2.334, 0,2.334, 1.33333,2.334, 1,2.334, 1,2.334, 1,2.66733, 1,3.66667, 1,2.334, 1,3.66667, 0.666667,4, 1,2.334, 0.666667,4, 0.333333,4, 1,2.334, 0.333333,4, 0,3.66667, 1,2.334, 0,3.66667, 0,2.334, 1,2.334, 1.33333,2.334, 1,2.66733, 2.667,0.667, 3.667,0.667, 3.667,1.334, 2.667,0.667, 3.667,1.334, 2.667,1.334, 2.667,0.667, 2.667,1.334, 2.667,1.00033, 2.667,0.667, 2.33367,0.667, 0.333333,0.667, 2.667,0.667, 0.333333,0.667, 0,0.333667, 2.667,0.667, 0,0.333667, 0,0.00033333, 2.667,0.667, 0,0.00033333, 0.333333,-0.333, 2.667,0.667, 0.333333,-0.333, 2.667,-0.333, 2.667,0.667, 2.667,-0.333, 3.667,0.667, 3.667,2.334, 3.667,3.66667, 3.33367,4, 3.667,2.334, 3.33367,4, 3.00033,4, 3.667,2.334, 3.00033,4, 2.667,3.66667, 3.667,2.334, 2.667,3.66667, 2.667,2.334, 2.667,1.00033, 2.33367,0.667, 2.667,0.667,
0,0, 3.3335,0, 3.667,0.333333, 0,0, 3.667,0.333333, 3.667,0.666667, 0,0, 3.667,0.666667, 3.3335,1, 0,0, 3.3335,1, 1.33333,1, 0,0, 1.33333,1, 0,1, 3.667,4, 0.333333,4, 0,3.66667, 3.667,4, 0,3.66667, 0,3.33333, 3.667,4, 0,3.33333, 0.333333,3, 3.667,4, 0.333333,3, 2.33333,3, 3.667,4, 2.33333,3, 3.667,3, 1.33333,1, 3.667,3, 2.33333,3, 1.33333,1, 2.33333,3, 0,1,
1,2, 1,0.333333, 1.33333,0, 1,2, 1.33333,0, 2,0, 1,2, 2,0, 2,1, 1,2, 2,1, 2,4, 1,2, 2,4, 2,5, 1,2, 2,5, 1.33333,5, 1,2, 1.33333,5, 1,4.66667, 1,2, 1,4.66667, 1,3, 1,3, 0.333333,3, 0,2.66667, 1,3, 0,2.66667, 0,2.33333, 1,3, 0,2.33333, 0.333333,2, 1,3, 0.333333,2, 1,2, 2,0, 2.66667,0, 3,0.333333, 2,0, 3,0.333333, 3,0.666667, 2,0, 3,0.666667, 2.66667,1, 2,0, 2.66667,1, 2,1, 2,4, 2.66667,4, 3,4.33333, 2,4, 3,4.33333, 3,4.66667, 2,4, 3,4.66667, 2.66667,5, 2,4, 2.66667,5, 2,5,
0.333333,2.33333, 0,2, 0,0.333333, 0.333333,2.33333, 0,0.333333, 0.333333,0, 0.333333,2.33333, 0.333333,0, 0.666667,0, 0.333333,2.33333, 0.666667,0, 1,0.333333, 0.333333,2.33333, 1,0.333333, 1,2, 0.333333,2.33333, 1,2, 0.666667,2.33333, 0.666667,2.66667, 1,3, 1,4.66667, 0.666667,2.66667, 1,4.66667, 0.666667,5, 0.666667,2.66667, 0.666667,5, 0.333333,5, 0.666667,2.66667, 0.333333,5, 0,4.66667, 0.666667,2.66667, 0,4.66667, 0,3, 0.666667,2.66667, 0,3, 0.333333,2.66667,
2,2, 2.66667,2, 3,2.33333, 2,2, 3,2.33333, 3,2.66667, 2,2, 3,2.66667, 2.66667,3, 2,2, 2.66667,3, 2,3, 2,3, 2,4.66667, 1.66667,5, 2,3, 1.66667,5, 1,5, 2,3, 1,5, 1,4, 2,3, 1,4, 1,1, 2,3, 1,1, 1,0, 2,3, 1,0, 1.66667,0, 2,3, 1.66667,0, 2,0.333333, 2,3, 2,0.333333, 2,2, 1,1, 0.333333,1, 0,0.666667, 1,1, 0,0.666667, 0,0.333333, 1,1, 0,0.333333, 0.333333,0, 1,1, 0.333333,0, 1,0, 1,5, 0.333333,5, 0,4.66667, 1,5, 0,4.66667, 0,4.33333, 1,5, 0,4.33333, 0.333333,4, 1,5, 0.333333,4, 1,4,
1,5, 0,4, 0,3.33333, 1,5, 0,3.33333, 0.666667,3.33333, 1,5, 0.666667,3.33333, 1.3334,4, 1,5, 1.3334,4, 1.33333,5, 2.66687,4, 1.6668,5, 1.33333,5, 2.66687,4, 1.33333,5, 1.3334,4, 1.3334,4, 2.33347,3, 2.66693,3, 1.3334,4, 2.66693,3, 2.66687,4, 3.00027,3, 4.00027,4, 4.00027,4.66667, 3.00027,3, 4.00027,4.66667, 3.3336,4.66667, 3.00027,3, 3.3336,4.66667, 2.66687,4, 3.00027,3, 2.66687,4, 2.66693,3,
0,1, 1,0, 1,1, 0,1, 1,1, 1,1.33333, 0,1, 1,1.33333, 1,2, 0,1, 1,2, 0,2, 0,2, 1,2, 1,3, 0,2, 1,3, 0,3, 0,3, 1,3, 1,3.66667, 0,3, 1,3.66667, 1,4, 0,3, 1,4, 0,4, 1,0, 2,0, 2,1, 1,0, 2,1, 1.33333,1, 1,0, 1.33333,1, 1,1, 1,1, 1.33333,1, 1,1.33333, 1,4, 1,5, 0,4, 1,4, 1,3.66667, 1.33333,4, 1,4, 1.33333,4, 2,4, 1,4, 2,4, 2,5, 1,4, 2,5, 1,5, 2,0, 3.33,0, 3.33,1, 2,0, 3.33,1, 2,1, 2,2, 2,1.5, 3.16333,1.5, 2,2, 3.16333,1.5, 3.33,1.66667, 2,2, 3.33,1.66667, 3.33,1.83333, 2,2, 3.33,1.83333, 3.16333,2, 2,2, 3.16333,2, 2.16667,2, 2,2, 1.5,2, 2,1.5, 2,2, 2.16667,2, 2,2.16667, 2,3, 2.16667,3, 3.16333,3, 2,3, 3.16333,3, 3.33,3.16667, 2,3, 3.33,3.16667, 3.33,3.33333, 2,3, 3.33,3.33333, 3.16333,3.5, 2,3, 3.16333,3.5, 2,3.5, 2,3, 2,2.83333, 2.16667,3, 2,4, 3.33,4, 3.33,5, 2,4, 3.33,5, 2,5, 3.33,0, 4,0, 4,1, 3.33,0, 4,1, 3.66667,1, 3.33,0, 3.66667,1, 3.33,1, 3.33,4, 3.66667,4, 4,4, 3.33,4, 4,4, 4,5, 3.33,4, 4,5, 3.33,5, 4,0, 5,1, 4,1, 4,1, 5,1, 5,2, 4,1, 5,2, 4,2, 4,1, 4,2, 4,1.33333, 4,2, 5,2, 5,3, 4,2, 5,3, 4,3, 4,4, 5,4, 4,5, 5,3, 5,4, 4,4, 5,3, 4,4, 4,3.66667, 5,3, 4,3.66667, 4,3, 3.66667,4, 4,3.66667, 4,4, 4,1.33333, 3.66667,1, 4,1, 2,3.5, 1.5,3, 2,3, 2,2.16667, 2,2.83333, 2,3, 2,2.16667, 2,3, 1.5,3, 2,2.16667, 1.5,3, 1.5,2, 2,2.16667, 1.5,2, 2,2,
] |
a = int(input())
if a % 7 == 0 :
print("multiple")
else :
print("not multiple")
|
#Tuplas
a = 10
b = 5
print(a)
(a,b) = (b,a)
print(a) #Cambio los valores con las tuplas |
class Solution:
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
degree = [0]*numCourses
courseDic = [[] for i in range(numCourses)]
for i, j in prerequisites:
courseDic[j].append(i)
degree[i] += 1
dfs = [i for i in range(numCourses) if degree[i] == 0]
numCoursesFinished = len(dfs)
while dfs:
courseId = dfs.pop()
for c in courseDic[courseId]:
degree[c] -= 1
if degree[c] == 0:
dfs.append(c)
numCoursesFinished += 1
return numCoursesFinished == numCourses
|
class RetsError(RuntimeError):
pass
class RetsClientError(RetsError):
pass
class RetsParseError(RetsClientError):
pass
class RetsResponseError(RetsClientError):
def __init__(self, content: str, headers: dict):
super().__init__('Unexpected response from RETS')
self.content = content
self.headers = headers
class RetsApiError(RetsClientError):
def __init__(self, reply_code: int, reply_text: str, xml: str):
super().__init__('[%i] %s\n\n%s' % (reply_code, reply_text, xml))
self.reply_code = reply_code
self.reply_text = reply_text
self.xml = xml
|
n,l,r,x=map(int,input().split())
num=list(map(int,input().split()))
ans=0
for i in range(2**n):
st=bin(i)[2:]
st='0'*(n-len(st))+st
if st.count('1')>=2:
pt=[]
for i in range(len(st)):
if st[i]=='1':
pt.append(num[i])
if sum(pt)<=r and sum(pt)>=l and max(pt)-min(pt)>=x:
ans+=1
print(ans) |
RUTA_CANCIONES = "D:/proyectos/cocid/cocid_practica_semanal/semana3/canciones/"
CANCIONES = {
1: "Get_Back.txt",
2: "Hey_Jude.txt",
3: "Let_It_Be.txt",
4: "She _Loves_You.txt"
}
|
kitReportMQHost = '***'
kitReportMQPort = 5672
kitReportMQUsername = '***'
kitReportMQPassword = '***'
kitReportMQQueueName = '***'
kitReportMQHeartBeat = 20
kitGitHost = '***'
kitGitUser = '***'
kitDBPort = 3306
kitDBHost = "***"
kitDBName = "***"
kitDBUsername = "***"
kitDBPassword = "***" |
"""
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Vibha Alangar, Dave Fisher, Matt Boutell, Mark Hays,
Mohammed Noureddine, Sana Ebrahimi, Sriram Mohan, their colleagues and
PUT_YOUR_NAME_HERE.
""" # TODO: 1. PUT YOUR NAME IN THE ABOVE LINE.
###############################################################################
# TODO: 2. Read the following, then change its _TODO_ to DONE.
# Throughout these exercises, you must use RANGE statements.
# At this point of the course, you are restricted to the SINGLE-ARGUMENT
# form of RANGE statements, like this:
# range(blah):
# There is a MULTIPLE-ARGUMENT form of RANGE statements (e.g. range(a, b))
# but you are NOT permitted to use the MULTIPLE-ARGUMENT form yet,
# for pedagogical reasons.
###############################################################################
def main():
""" Calls the TEST functions in this module. """
run_test_sum_cosines()
run_test_sum_square_roots()
def run_test_sum_cosines():
""" Tests the sum_cosines function. """
# -------------------------------------------------------------------------
# TODO: 3. Implement this function.
# It TESTS the sum_cosines function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_cosines function:")
print("--------------------------------------------------")
def sum_cosines(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the cosines of the integers
0, 1, 2, 3, ... n, inclusive, for the given n.
Side effects: None.
Example:
If n is 3, this function returns
cos(0) + cos(1) + cos(2) + cos(3) which is about 0.13416.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 4. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_cosines to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
def run_test_sum_square_roots():
""" Tests the sum_square_roots function. """
# -------------------------------------------------------------------------
# TODO: 5. Implement this function.
# It TESTS the sum_square_roots function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_square_roots function:")
print("--------------------------------------------------")
def sum_square_roots(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the square roots of the integers
2, 4, 6, 8, ... 2n inclusive, for the given n.
So if n is 7, the last term of the sum is
the square root of 14 (not 7).
Side effects: None.
Example:
If n is 5, this function returns
sqrt(2) + sqrt(4) + sqrt(6) + sqrt(8) + sqrt(10),
which is about 11.854408.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 6. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_square_roots to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Calls main to start the ball rolling.
# -----------------------------------------------------------------------------
main()
|
def validate_fit_event_struct(fitEvent, tester):
tester.assertTrue(hasattr(fitEvent, 'df'))
tester.assertTrue(hasattr(fitEvent, 'spec'))
tester.assertTrue(hasattr(fitEvent, 'model'))
tester.assertTrue(hasattr(fitEvent, 'featureColumns'))
tester.assertTrue(hasattr(fitEvent, 'predictionColumns'))
tester.assertTrue(hasattr(fitEvent, 'labelColumns'))
tester.assertTrue(hasattr(fitEvent, 'experimentRunId'))
tester.assertTrue(type(fitEvent.experimentRunId), 'int')
def validate_project_struct(project, tester):
tester.assertTrue(hasattr(project, 'id'))
tester.assertTrue(hasattr(project, 'name'))
tester.assertTrue(hasattr(project, 'author'))
tester.assertTrue(hasattr(project, 'description'))
def validate_experiment_struct(experiment, tester):
tester.assertTrue(hasattr(experiment, 'projectId'))
tester.assertTrue(hasattr(experiment, 'description'))
tester.assertTrue(hasattr(experiment, 'id'))
tester.assertTrue(hasattr(experiment, 'isDefault'))
tester.assertTrue(hasattr(experiment, 'name'))
def validate_experiment_run_struct(experiment_run, tester):
tester.assertTrue(hasattr(experiment_run, 'id'))
tester.assertTrue(hasattr(experiment_run, 'experimentId'))
tester.assertTrue(hasattr(experiment_run, 'description'))
def validate_transformer_spec_struct(spec, tester):
tester.assertTrue(hasattr(spec, 'id'))
tester.assertTrue(hasattr(spec, 'transformerType'))
tester.assertTrue(hasattr(spec, 'hyperparameters'))
tester.assertTrue(hasattr(spec, 'tag'))
def validate_transform_event_struct(transformEvent, tester):
tester.assertTrue(hasattr(transformEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'newDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'transformer'))
tester.assertTrue(hasattr(transformEvent, 'inputColumns'))
tester.assertTrue(hasattr(transformEvent, 'outputColumns'))
tester.assertTrue(hasattr(transformEvent, 'experimentRunId'))
tester.assertTrue(type(transformEvent.experimentRunId), 'int')
def validate_dataframe_struct(dataframe, tester):
tester.assertTrue(hasattr(dataframe, 'numRows'))
tester.assertTrue(hasattr(dataframe, 'tag'))
tester.assertTrue(hasattr(dataframe, 'id'))
tester.assertTrue(hasattr(dataframe, 'schema'))
def validate_transformer_struct(transformer, tester):
tester.assertTrue(hasattr(transformer, 'id'))
tester.assertTrue(hasattr(transformer, 'transformerType'))
tester.assertTrue(hasattr(transformer, 'tag'))
def validate_pipeline_event_struct(pipelineEvent, tester):
tester.assertTrue(hasattr(pipelineEvent, 'pipelineFit'))
tester.assertTrue(hasattr(pipelineEvent, 'transformStages'))
tester.assertTrue(hasattr(pipelineEvent, 'fitStages'))
tester.assertTrue(hasattr(pipelineEvent, 'experimentRunId'))
def validate_pipeline_fit_stages(fitStages, tester):
count = 0
for stage in fitStages:
tester.assertTrue(hasattr(stage, 'fe'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_fit_event_struct(stage.fe, tester)
count += 1
def validate_pipeline_transform_stages(transformStages, tester):
count = 0
for stage in transformStages:
tester.assertTrue(hasattr(stage, 'te'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_transform_event_struct(stage.te, tester)
count += 1
def validate_random_split_event_struct(random_splitEvent, tester):
tester.assertTrue(hasattr(random_splitEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(random_splitEvent, 'weights'))
tester.assertTrue(hasattr(random_splitEvent, 'seed'))
tester.assertTrue(hasattr(random_splitEvent, 'splitDataFrames'))
tester.assertTrue(hasattr(random_splitEvent, 'experimentRunId'))
def validate_metric_event_struct(metric_event, tester):
tester.assertTrue(hasattr(metric_event, 'df'))
tester.assertTrue(hasattr(metric_event, 'model'))
tester.assertTrue(hasattr(metric_event, 'metricType'))
tester.assertTrue(hasattr(metric_event, 'metricValue'))
tester.assertTrue(hasattr(metric_event, 'labelCol'))
tester.assertTrue(hasattr(metric_event, 'predictionCol'))
tester.assertTrue(hasattr(metric_event, 'experimentRunId'))
def validate_grid_search_cv_event(gridcvEvent, tester):
tester.assertTrue(hasattr(gridcvEvent, 'numFolds'))
tester.assertTrue(hasattr(gridcvEvent, 'bestFit'))
tester.assertTrue(hasattr(gridcvEvent, 'crossValidations'))
tester.assertTrue(hasattr(gridcvEvent, 'experimentRunId'))
def validate_cross_validate_event(cvEvent, tester):
tester.assertTrue(hasattr(cvEvent, 'df'))
tester.assertTrue(hasattr(cvEvent, 'spec'))
tester.assertTrue(hasattr(cvEvent, 'seed'))
tester.assertTrue(hasattr(cvEvent, 'evaluator'))
tester.assertTrue(hasattr(cvEvent, 'labelColumns'))
tester.assertTrue(hasattr(cvEvent, 'predictionColumns'))
tester.assertTrue(hasattr(cvEvent, 'featureColumns'))
tester.assertTrue(hasattr(cvEvent, 'folds'))
tester.assertTrue(hasattr(cvEvent, 'experimentRunId'))
def validate_cross_validation_fold(cvFold, tester):
tester.assertTrue(hasattr(cvFold, 'model'))
tester.assertTrue(hasattr(cvFold, 'validationDf'))
tester.assertTrue(hasattr(cvFold, 'trainingDf'))
tester.assertTrue(hasattr(cvFold, 'score'))
def is_equal_dataframe(dataframe1, dataframe2, tester):
tester.assertEqual(dataframe1.numRows, dataframe2.numRows)
tester.assertEqual(dataframe1.tag, dataframe2.tag)
tester.assertEqual(dataframe1.id, dataframe2.id)
tester.assertEqual(len(dataframe1.schema), len(dataframe2.schema))
# check schema
for i in range(len(dataframe1.schema)):
tester.assertEqual(dataframe1.schema[
i].name, dataframe2.schema[i].name)
tester.assertEqual(dataframe1.schema[
i].type, dataframe2.schema[i].type)
def is_equal_transformer_spec(spec1, spec2, tester):
tester.assertEqual(spec1.id, spec2.id)
tester.assertEqual(spec1.transformerType, spec2.transformerType)
tester.assertEqual(spec1.tag, spec2.tag)
tester.assertEqual(len(spec1.hyperparameters), len(spec2.hyperparameters))
for i in range(len(spec1.hyperparameters)):
tester.assertTrue(spec1.hyperparameters[i] in spec2.hyperparameters)
def is_equal_transformer(model1, model2, tester):
tester.assertEqual(model1.id, model2.id)
tester.assertEqual(model1.transformerType, model2.transformerType)
tester.assertEqual(model1.tag, model2.tag)
def is_equal_project(project1, project2, tester):
tester.assertEqual(project1.id, project2.id)
tester.assertEqual(project1.name, project2.name)
tester.assertEqual(project1.author, project2.author)
tester.assertEqual(project1.description, project2.description)
def is_equal_experiment(experiment1, experiment2, tester):
tester.assertEqual(experiment1.id, experiment2.id)
tester.assertEqual(experiment1.projectId, experiment2.projectId)
tester.assertEqual(experiment1.name, experiment2.name)
tester.assertEqual(experiment1.description, experiment2.description)
tester.assertEqual(experiment1.isDefault, experiment2.isDefault)
def is_equal_experiment_run(expRun1, expRun2, tester):
tester.assertEqual(expRun1.id, expRun2.id)
tester.assertEqual(expRun1.experimentId, expRun2.experimentId)
tester.assertEqual(expRun1.description, expRun2.description)
|
# Escreva um programa que leia um valor em metros e o exiba convertido em centimetros e milimetros
print("="*10,"Exercicio 8", "="*10)
tamanho = float(input('Digite uma distância em metros: '))
cm = tamanho * 100
mm = tamanho * 1000
print(f"É equivalente a {cm:.2f}cm e a {mm:.2f}mm ") |
class JumpHistory(object):
def __init__(self):
self._history = [ ]
self._pos = 0
def __len__(self):
return len(self._history)
def jump_to(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def record_address(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def trim(self):
self._history = self._history[ : self._pos + 1]
def backtrack(self):
if self._pos > 0:
self._pos -= 1
if self._pos >= len(self._history):
return None
else:
return self._history[self._pos]
def forwardstep(self):
if self._pos < len(self._history) - 1:
self._pos += 1
if self._pos < len(self._history):
return self._history[self._pos]
else:
return None
|
# Given a string s, find the longest palindromic substring in s
# --- Example
# Input: "babad"
# Output: "bab"
# Note: "aba" is also a valid answer.
# Time: O(n^2) | Space: O(1)
# Time complexity: O(n^2) Since expanding a palindrome around its center could take up to O(n), and we do this for each character.
class Solution:
def longestPalindrome(self, s):
res = ""
for i in range(len(s)):
current = self.expand_around_middle(s, i - 1, i + 1)
in_between = self.expand_around_middle(s, i, i + 1)
res = max(res, current, in_between, key=len)
return res
def expand_around_middle(self, s, left, right):
while left >= 0 and right < len(s) and s[left] == s[right]:
left -= 1
right += 1
return s[left + 1: right]
print(Solution().longestPalindrome('babad')) |
"""
AOC2020 - day3
"""
FILEPATH = "./day3.txt"
MAP = []
ROWLEN = 0
def doFall(down, right):
cnt = 0
myRight = 0
for ind in range(down, len(MAP), down):
myRight += right
if myRight >= ROWLEN:
myRight -= ROWLEN
if MAP[ind][myRight] == '#':
cnt += 1
return cnt
with open(FILEPATH) as fp:
MAP = fp.readlines()
# python counts the endline as a character; need to trim
for i, line in enumerate(MAP):
MAP[i] = line[0:-1]
ROWLEN = len(MAP[0])
print(doFall(1, 1))
print(doFall(1, 3))
print(doFall(1, 5))
print(doFall(1, 7))
print(doFall(2, 1))
print(doFall(1, 1) * doFall(1, 3) * doFall(1, 5)
* doFall(1, 7) * doFall(2, 1))
|
#!python
def linear_search(array, item):
"""return the first index of item in array or None if item is not found"""
# implement linear_search_iterative and linear_search_recursive below, then
# change this to call your implementation to verify it passes all tests
# return linear_search_iterative(array, item)
return linear_search_recursive(array, item)
def linear_search_iterative(array, item):
# loop over all array values until item is found
# Time complexity: O(n)
for index, value in enumerate(array):
if item == value:
return index # found
return None # not found
def linear_search_recursive(array, item, index=0):
# TODO: implement linear search recursively here
# Time complexity: O(n)
if array[index] == item:
return index
elif index == len(array) - 1:
return None
else:
return linear_search_recursive(array, item, index + 1)
# once implemented, change linear_search to call linear_search_recursive
# to verify that your recursive implementation passes all tests
def binary_search(array, item):
"""return the index of item in sorted array or None if item is not found"""
# implement binary_search_iterative and binary_search_recursive below, then
# change this to call your implementation to verify it passes all tests
#return binary_search_iterative(array, item)
return binary_search_recursive(array, item)
def binary_search_iterative(array, item):
# TODO: implement binary search iteratively here
# Time complexity: O(log(2)n)
left = 0
right = len(array) - 1
while left <= right:
mid = left + (right - left) // 2
mid_item = array[mid]
if mid_item < item:
left= mid + 1
elif mid_item == item:
return mid
elif mid_item < item:
left= mid + 1
else:
right = mid - 1
return None
# once implemented, change binary_search to call binary_search_iterative
# to verify that your iterative implementation passes all tests
def binary_search_recursive(array, item, left=None, right=None):
# TODO: implement binary search recursively here
# Time complexity: O(log(2)n)
if left is None and right is None:
left = 0
right = len(array) - 1
if left > right:
return None
mid = (right + left) // 2
if array[mid] == item:
return mid
elif array[mid] < item:
return binary_search_recursive(array, item, mid + 1, right)
elif array[mid] > item:
return binary_search_recursive(array, item, left, mid - 1)
# once implemented, change binary_search to call binary_search_recursive
# to verify that your recursive implementation passes all tests
# return binary_search_recursive()
|
def res(x):
a=[]
i=1
for c in x:
a.append(c+i)
i+=1
return a
n=int(input())
x=list(map(int,input().split()))
x.sort(reverse=True)
a=res(x)
print(max(a)+1)
|
"""
Copyright (C) 2017 Open Source Robotics Foundation
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.
"""
class AbstractCityBuilder(object):
def name(self):
return self.__class__.__name__
def get_city(self):
city = self._buid_city()
city.put_metadata('builder', self)
return city
def required_licence(self):
return None
def _buid_city(self):
raise NotImplementedError()
|
# B_R_R
# M_S_A_W
def fibonacci(num):
if num==0:
return 0
elif num==1:
return 1
else:
return fibonacci(num-1)+fibonacci(num-2)
inp_val=int(input("How many numbers: "))
i=1
while i<inp_val:
fibValue=fibonacci(i)
print(fibValue)
i+=1
print("All Done")
|
"""
PASSENGERS
"""
numPassengers = 34399
passenger_arriving = (
(9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), # 0
(6, 9, 9, 6, 5, 1, 3, 5, 3, 1, 3, 0, 0, 9, 7, 4, 4, 7, 4, 3, 5, 5, 2, 2, 0, 0), # 1
(11, 13, 5, 10, 9, 2, 5, 2, 3, 1, 4, 1, 0, 14, 7, 7, 6, 15, 4, 3, 6, 3, 1, 2, 1, 0), # 2
(14, 17, 9, 10, 8, 2, 4, 9, 2, 1, 2, 1, 0, 3, 8, 6, 6, 12, 3, 3, 2, 4, 2, 2, 2, 0), # 3
(18, 8, 9, 9, 9, 4, 9, 6, 5, 6, 0, 0, 0, 6, 13, 8, 3, 7, 9, 3, 4, 3, 0, 3, 2, 0), # 4
(20, 9, 11, 10, 11, 5, 4, 9, 2, 3, 1, 1, 0, 16, 7, 11, 5, 9, 10, 4, 4, 5, 4, 1, 2, 0), # 5
(11, 14, 13, 9, 8, 4, 3, 3, 2, 0, 1, 1, 0, 13, 10, 15, 6, 10, 9, 6, 5, 6, 3, 1, 0, 0), # 6
(21, 16, 18, 13, 11, 4, 2, 4, 8, 1, 2, 1, 0, 11, 10, 3, 10, 11, 13, 5, 4, 5, 1, 2, 2, 0), # 7
(13, 17, 15, 12, 5, 4, 11, 4, 6, 2, 4, 1, 0, 11, 12, 11, 7, 12, 11, 8, 2, 3, 5, 1, 1, 0), # 8
(13, 14, 15, 12, 13, 7, 9, 9, 9, 2, 2, 1, 0, 13, 14, 4, 8, 10, 10, 8, 3, 5, 7, 2, 0, 0), # 9
(15, 14, 14, 10, 7, 7, 7, 7, 5, 0, 1, 1, 0, 8, 10, 12, 12, 10, 7, 3, 2, 3, 2, 6, 1, 0), # 10
(18, 9, 13, 12, 10, 2, 10, 3, 10, 4, 3, 3, 0, 14, 16, 10, 10, 13, 17, 7, 4, 8, 5, 10, 1, 0), # 11
(16, 22, 13, 16, 11, 5, 8, 7, 4, 4, 2, 3, 0, 8, 17, 10, 8, 12, 5, 4, 1, 8, 3, 1, 2, 0), # 12
(17, 23, 9, 19, 15, 3, 12, 7, 7, 1, 3, 2, 0, 15, 10, 5, 13, 15, 7, 6, 5, 4, 9, 7, 3, 0), # 13
(15, 29, 14, 10, 8, 5, 4, 9, 7, 3, 1, 1, 0, 16, 14, 11, 12, 11, 7, 7, 3, 7, 4, 2, 1, 0), # 14
(24, 18, 7, 17, 15, 3, 10, 9, 8, 1, 3, 3, 0, 24, 15, 10, 13, 9, 9, 8, 2, 7, 2, 4, 2, 0), # 15
(26, 18, 12, 17, 11, 8, 4, 6, 11, 0, 3, 0, 0, 23, 12, 13, 5, 9, 9, 11, 1, 10, 2, 0, 0, 0), # 16
(10, 16, 14, 23, 12, 3, 11, 13, 9, 5, 2, 1, 0, 21, 18, 16, 10, 8, 9, 10, 5, 5, 2, 4, 1, 0), # 17
(20, 14, 14, 13, 14, 3, 5, 14, 9, 1, 1, 0, 0, 17, 11, 20, 6, 12, 13, 7, 2, 8, 4, 3, 0, 0), # 18
(21, 24, 16, 15, 8, 4, 7, 9, 10, 5, 0, 0, 0, 13, 18, 12, 8, 22, 8, 4, 7, 5, 6, 3, 2, 0), # 19
(22, 21, 16, 7, 10, 10, 9, 11, 7, 3, 2, 2, 0, 12, 17, 20, 12, 11, 8, 8, 5, 8, 9, 4, 0, 0), # 20
(14, 17, 19, 17, 16, 6, 7, 5, 5, 4, 3, 2, 0, 13, 21, 9, 16, 17, 5, 4, 4, 6, 4, 4, 2, 0), # 21
(20, 12, 15, 16, 14, 8, 4, 11, 5, 0, 3, 0, 0, 21, 13, 12, 11, 17, 10, 8, 3, 7, 4, 6, 2, 0), # 22
(18, 17, 13, 19, 11, 9, 8, 8, 8, 2, 3, 1, 0, 14, 26, 11, 9, 19, 13, 12, 8, 7, 7, 4, 2, 0), # 23
(8, 19, 17, 11, 16, 6, 5, 9, 8, 4, 0, 0, 0, 21, 17, 14, 11, 10, 14, 10, 5, 5, 5, 4, 0, 0), # 24
(17, 25, 14, 11, 9, 3, 11, 6, 3, 1, 3, 0, 0, 18, 20, 12, 8, 16, 10, 4, 12, 8, 1, 3, 1, 0), # 25
(17, 16, 17, 12, 16, 7, 9, 8, 10, 4, 1, 2, 0, 21, 21, 6, 16, 7, 13, 7, 5, 7, 7, 2, 2, 0), # 26
(19, 13, 11, 16, 12, 6, 10, 7, 7, 3, 1, 2, 0, 15, 20, 9, 13, 11, 5, 8, 2, 5, 10, 1, 5, 0), # 27
(18, 19, 9, 16, 16, 6, 4, 3, 5, 3, 1, 3, 0, 18, 17, 16, 7, 15, 9, 9, 5, 8, 3, 3, 2, 0), # 28
(20, 15, 14, 12, 17, 6, 8, 4, 4, 4, 3, 1, 0, 13, 23, 14, 9, 23, 5, 11, 8, 6, 4, 5, 2, 0), # 29
(16, 17, 22, 14, 20, 6, 3, 8, 4, 3, 3, 2, 0, 14, 21, 21, 10, 7, 10, 7, 4, 7, 9, 3, 0, 0), # 30
(21, 15, 19, 9, 9, 12, 11, 8, 7, 3, 4, 0, 0, 15, 22, 17, 5, 14, 6, 10, 5, 3, 7, 4, 0, 0), # 31
(15, 16, 11, 17, 8, 9, 5, 9, 6, 1, 2, 1, 0, 21, 14, 12, 8, 20, 6, 12, 7, 5, 5, 2, 2, 0), # 32
(15, 16, 9, 12, 11, 10, 6, 2, 6, 5, 2, 3, 0, 20, 13, 13, 9, 15, 6, 8, 3, 5, 3, 7, 1, 0), # 33
(17, 17, 9, 20, 18, 5, 5, 6, 7, 1, 3, 3, 0, 17, 14, 10, 16, 19, 7, 5, 6, 7, 6, 5, 0, 0), # 34
(23, 14, 18, 17, 14, 4, 9, 8, 10, 6, 3, 1, 0, 17, 23, 6, 13, 17, 11, 13, 5, 8, 5, 3, 1, 0), # 35
(22, 16, 18, 16, 9, 9, 8, 9, 8, 3, 4, 1, 0, 13, 15, 17, 12, 16, 12, 6, 2, 7, 9, 5, 1, 0), # 36
(19, 17, 15, 16, 9, 4, 5, 7, 10, 3, 5, 1, 0, 27, 14, 12, 7, 13, 5, 6, 4, 8, 5, 2, 1, 0), # 37
(22, 24, 16, 17, 12, 11, 1, 5, 8, 6, 3, 3, 0, 25, 10, 8, 14, 17, 8, 3, 2, 10, 6, 5, 6, 0), # 38
(25, 14, 13, 24, 17, 12, 8, 7, 11, 3, 3, 1, 0, 19, 17, 19, 6, 18, 6, 8, 1, 7, 6, 3, 0, 0), # 39
(17, 23, 14, 16, 10, 6, 4, 9, 6, 1, 3, 2, 0, 22, 11, 14, 12, 10, 9, 7, 3, 11, 10, 0, 1, 0), # 40
(18, 22, 16, 11, 13, 4, 5, 7, 7, 8, 2, 1, 0, 12, 19, 13, 10, 12, 7, 10, 9, 10, 5, 2, 1, 0), # 41
(19, 18, 16, 18, 12, 8, 10, 8, 7, 1, 4, 1, 0, 13, 25, 14, 7, 16, 15, 5, 3, 5, 6, 5, 3, 0), # 42
(19, 13, 18, 12, 15, 4, 6, 8, 10, 3, 5, 1, 0, 17, 15, 8, 13, 19, 8, 4, 3, 7, 1, 3, 1, 0), # 43
(21, 13, 10, 22, 15, 7, 8, 4, 11, 2, 0, 1, 0, 15, 18, 11, 12, 13, 4, 8, 5, 4, 5, 2, 2, 0), # 44
(24, 20, 19, 15, 18, 6, 6, 6, 12, 3, 3, 3, 0, 16, 13, 18, 15, 19, 10, 7, 1, 9, 8, 3, 2, 0), # 45
(22, 10, 18, 19, 20, 0, 8, 11, 6, 0, 4, 2, 0, 20, 17, 7, 12, 11, 10, 5, 4, 3, 4, 2, 3, 0), # 46
(19, 13, 22, 16, 17, 3, 5, 5, 5, 2, 3, 2, 0, 15, 16, 16, 5, 13, 14, 12, 3, 11, 6, 7, 1, 0), # 47
(20, 21, 12, 13, 15, 8, 8, 6, 6, 4, 3, 0, 0, 22, 15, 15, 8, 13, 8, 14, 2, 11, 7, 5, 0, 0), # 48
(27, 16, 18, 13, 14, 6, 3, 10, 8, 1, 1, 3, 0, 17, 11, 13, 8, 9, 9, 10, 7, 4, 6, 3, 1, 0), # 49
(18, 24, 14, 17, 18, 4, 6, 7, 4, 3, 1, 0, 0, 16, 15, 15, 6, 25, 9, 8, 6, 3, 6, 4, 1, 0), # 50
(11, 20, 17, 26, 14, 6, 5, 3, 12, 4, 0, 2, 0, 14, 18, 9, 11, 16, 11, 3, 5, 12, 2, 1, 2, 0), # 51
(19, 17, 14, 18, 12, 7, 4, 8, 8, 2, 4, 2, 0, 23, 16, 13, 11, 12, 5, 8, 6, 5, 6, 1, 2, 0), # 52
(14, 13, 20, 15, 14, 12, 11, 3, 8, 3, 3, 5, 0, 9, 9, 15, 16, 8, 13, 8, 4, 5, 6, 2, 1, 0), # 53
(27, 20, 17, 17, 14, 6, 8, 7, 8, 2, 1, 0, 0, 19, 19, 13, 9, 10, 4, 9, 3, 4, 4, 3, 2, 0), # 54
(23, 25, 14, 11, 21, 7, 4, 6, 11, 4, 0, 0, 0, 22, 16, 7, 6, 16, 10, 9, 3, 8, 10, 3, 2, 0), # 55
(16, 17, 17, 15, 13, 6, 7, 5, 6, 1, 3, 1, 0, 16, 16, 15, 2, 12, 12, 9, 6, 6, 5, 0, 3, 0), # 56
(17, 16, 16, 18, 18, 6, 4, 2, 5, 1, 3, 1, 0, 17, 16, 12, 9, 14, 16, 7, 4, 8, 12, 2, 1, 0), # 57
(19, 16, 13, 12, 8, 6, 9, 7, 4, 2, 4, 4, 0, 18, 7, 10, 14, 24, 11, 5, 6, 6, 4, 2, 2, 0), # 58
(20, 18, 17, 16, 13, 8, 7, 9, 3, 2, 2, 0, 0, 13, 9, 14, 11, 18, 9, 9, 4, 9, 3, 2, 0, 0), # 59
(19, 21, 24, 16, 17, 10, 6, 2, 10, 2, 2, 4, 0, 18, 13, 14, 7, 12, 7, 1, 4, 4, 5, 2, 3, 0), # 60
(28, 23, 15, 16, 15, 9, 7, 6, 10, 1, 0, 1, 0, 18, 17, 16, 11, 16, 10, 8, 6, 4, 8, 1, 1, 0), # 61
(20, 15, 9, 19, 9, 16, 9, 5, 10, 4, 0, 0, 0, 20, 16, 12, 10, 20, 7, 4, 4, 4, 6, 6, 2, 0), # 62
(10, 13, 13, 23, 10, 8, 6, 5, 8, 1, 3, 0, 0, 16, 12, 18, 10, 13, 5, 5, 5, 5, 5, 1, 1, 0), # 63
(9, 15, 18, 21, 16, 3, 12, 6, 5, 6, 2, 0, 0, 24, 13, 15, 16, 16, 5, 6, 6, 8, 3, 4, 2, 0), # 64
(19, 15, 12, 12, 14, 8, 11, 6, 7, 6, 1, 1, 0, 15, 15, 9, 8, 10, 7, 6, 2, 11, 2, 7, 0, 0), # 65
(21, 16, 18, 14, 13, 4, 12, 3, 4, 6, 1, 1, 0, 15, 20, 12, 6, 15, 8, 4, 3, 3, 5, 6, 0, 0), # 66
(15, 15, 16, 14, 12, 2, 10, 5, 4, 3, 6, 4, 0, 20, 20, 17, 8, 14, 6, 9, 7, 9, 5, 3, 1, 0), # 67
(28, 24, 14, 17, 17, 9, 2, 5, 3, 3, 5, 1, 0, 11, 18, 18, 6, 11, 11, 6, 7, 6, 3, 2, 0, 0), # 68
(7, 18, 11, 12, 10, 1, 4, 5, 8, 2, 3, 2, 0, 14, 15, 9, 14, 20, 5, 9, 5, 5, 4, 3, 6, 0), # 69
(16, 13, 14, 31, 15, 5, 4, 7, 5, 0, 5, 0, 0, 18, 17, 9, 14, 10, 3, 3, 4, 4, 11, 5, 0, 0), # 70
(16, 12, 13, 11, 9, 3, 3, 8, 6, 3, 3, 3, 0, 24, 24, 16, 4, 17, 7, 8, 0, 7, 6, 4, 0, 0), # 71
(31, 14, 16, 11, 17, 6, 7, 3, 4, 1, 1, 3, 0, 17, 15, 15, 14, 17, 3, 6, 6, 7, 6, 4, 3, 0), # 72
(13, 16, 11, 14, 14, 4, 9, 4, 7, 5, 1, 1, 0, 14, 7, 17, 12, 14, 4, 5, 11, 6, 4, 5, 2, 0), # 73
(23, 16, 13, 12, 22, 8, 10, 4, 6, 2, 2, 0, 0, 21, 13, 21, 7, 13, 10, 4, 4, 9, 9, 4, 2, 0), # 74
(21, 20, 12, 25, 17, 4, 7, 6, 6, 1, 1, 0, 0, 15, 26, 17, 10, 19, 8, 5, 5, 2, 4, 2, 0, 0), # 75
(16, 13, 23, 15, 10, 4, 5, 9, 8, 1, 3, 1, 0, 12, 17, 11, 5, 6, 6, 3, 6, 10, 4, 2, 1, 0), # 76
(12, 10, 17, 16, 9, 5, 7, 8, 8, 3, 2, 1, 0, 10, 13, 16, 7, 16, 3, 5, 3, 4, 4, 4, 1, 0), # 77
(20, 14, 17, 19, 18, 9, 6, 3, 9, 2, 3, 2, 0, 19, 18, 14, 11, 24, 8, 7, 6, 7, 5, 4, 1, 0), # 78
(24, 13, 12, 14, 9, 6, 8, 4, 5, 4, 3, 1, 0, 20, 12, 8, 7, 20, 4, 7, 7, 4, 2, 3, 3, 0), # 79
(27, 14, 14, 13, 11, 4, 7, 4, 7, 4, 2, 0, 0, 12, 13, 11, 5, 16, 6, 10, 6, 8, 6, 3, 2, 0), # 80
(19, 14, 16, 17, 17, 8, 3, 8, 8, 1, 4, 2, 0, 29, 16, 17, 15, 16, 12, 3, 5, 10, 1, 9, 0, 0), # 81
(20, 15, 12, 21, 15, 4, 10, 7, 11, 4, 1, 2, 0, 16, 16, 7, 4, 13, 7, 5, 5, 6, 3, 5, 3, 0), # 82
(12, 12, 10, 10, 6, 11, 4, 7, 10, 3, 2, 0, 0, 11, 14, 10, 9, 18, 7, 6, 1, 5, 4, 2, 0, 0), # 83
(21, 15, 14, 14, 7, 7, 4, 5, 7, 1, 3, 1, 0, 20, 12, 9, 10, 17, 7, 7, 5, 8, 8, 4, 1, 0), # 84
(16, 10, 18, 18, 9, 2, 5, 7, 6, 2, 1, 2, 0, 14, 10, 10, 9, 16, 4, 5, 2, 7, 5, 1, 1, 0), # 85
(17, 17, 24, 18, 17, 6, 5, 6, 6, 2, 2, 0, 0, 15, 20, 10, 4, 14, 7, 5, 6, 8, 5, 4, 2, 0), # 86
(20, 13, 19, 18, 13, 5, 5, 3, 8, 3, 2, 0, 0, 17, 19, 10, 6, 10, 7, 6, 7, 5, 2, 2, 2, 0), # 87
(12, 14, 19, 13, 16, 7, 8, 1, 9, 4, 0, 1, 0, 19, 11, 11, 4, 13, 9, 3, 4, 2, 4, 1, 1, 0), # 88
(22, 10, 19, 25, 16, 3, 7, 6, 10, 3, 0, 0, 0, 21, 18, 10, 11, 17, 5, 4, 2, 11, 5, 3, 2, 0), # 89
(26, 12, 14, 15, 14, 3, 6, 7, 12, 4, 1, 0, 0, 18, 19, 11, 7, 14, 7, 3, 3, 9, 4, 4, 3, 0), # 90
(17, 15, 14, 22, 15, 5, 3, 5, 12, 1, 2, 0, 0, 17, 11, 9, 8, 18, 5, 6, 4, 5, 4, 3, 1, 0), # 91
(20, 16, 6, 18, 6, 11, 5, 5, 7, 5, 4, 0, 0, 21, 16, 9, 4, 11, 7, 5, 2, 9, 9, 1, 3, 0), # 92
(16, 15, 25, 20, 9, 6, 12, 0, 7, 4, 0, 1, 0, 19, 11, 8, 15, 6, 6, 9, 6, 7, 5, 3, 2, 0), # 93
(25, 12, 16, 15, 26, 5, 5, 3, 11, 3, 4, 1, 0, 23, 10, 11, 8, 8, 14, 6, 3, 6, 5, 3, 4, 0), # 94
(19, 15, 12, 18, 15, 4, 5, 6, 8, 2, 1, 2, 0, 20, 9, 5, 9, 9, 9, 5, 3, 5, 3, 7, 0, 0), # 95
(13, 10, 10, 12, 15, 7, 2, 8, 4, 1, 6, 2, 0, 11, 10, 10, 8, 12, 8, 3, 2, 8, 5, 3, 3, 0), # 96
(24, 12, 13, 17, 11, 4, 11, 6, 8, 5, 0, 2, 0, 14, 12, 7, 8, 16, 4, 8, 2, 11, 8, 1, 1, 0), # 97
(17, 13, 15, 20, 20, 8, 4, 1, 8, 2, 2, 4, 0, 18, 18, 12, 5, 19, 7, 5, 5, 7, 5, 5, 0, 0), # 98
(14, 13, 12, 15, 13, 14, 4, 3, 5, 2, 2, 1, 0, 18, 13, 11, 6, 13, 1, 9, 6, 7, 2, 6, 3, 0), # 99
(20, 7, 14, 13, 14, 13, 6, 3, 7, 4, 4, 0, 0, 15, 18, 10, 4, 14, 7, 7, 11, 4, 4, 0, 2, 0), # 100
(17, 15, 17, 14, 7, 3, 6, 5, 10, 0, 3, 1, 0, 13, 12, 13, 11, 18, 6, 7, 3, 5, 4, 1, 1, 0), # 101
(20, 18, 10, 15, 14, 7, 6, 3, 1, 1, 1, 1, 0, 19, 16, 11, 14, 16, 12, 6, 7, 6, 5, 2, 2, 0), # 102
(13, 11, 20, 12, 14, 5, 3, 8, 4, 4, 2, 0, 0, 13, 18, 11, 13, 12, 7, 4, 5, 10, 3, 4, 2, 0), # 103
(13, 13, 11, 17, 9, 7, 5, 3, 5, 4, 0, 1, 0, 16, 13, 11, 8, 12, 9, 4, 5, 6, 4, 3, 0, 0), # 104
(13, 14, 9, 18, 11, 1, 6, 8, 7, 1, 1, 2, 0, 17, 13, 4, 6, 14, 4, 8, 4, 11, 9, 2, 0, 0), # 105
(11, 18, 8, 16, 10, 6, 4, 5, 2, 3, 0, 2, 0, 18, 11, 7, 6, 14, 7, 7, 4, 11, 8, 2, 2, 0), # 106
(9, 11, 16, 12, 11, 9, 5, 3, 3, 4, 1, 0, 0, 19, 12, 14, 6, 8, 7, 8, 7, 5, 2, 3, 1, 0), # 107
(12, 14, 18, 17, 18, 5, 8, 3, 9, 1, 2, 3, 0, 27, 15, 11, 7, 10, 7, 1, 5, 8, 8, 7, 1, 0), # 108
(20, 20, 21, 19, 16, 5, 5, 8, 13, 5, 3, 2, 0, 20, 15, 13, 6, 21, 5, 6, 1, 5, 3, 2, 0, 0), # 109
(21, 19, 16, 7, 12, 6, 4, 5, 13, 3, 3, 0, 0, 14, 9, 8, 10, 13, 3, 6, 3, 5, 5, 5, 2, 0), # 110
(14, 14, 15, 19, 14, 3, 5, 4, 7, 5, 4, 2, 0, 17, 16, 13, 6, 12, 6, 6, 5, 2, 5, 3, 1, 0), # 111
(15, 13, 10, 11, 9, 6, 3, 6, 8, 2, 1, 2, 0, 13, 19, 14, 4, 9, 2, 5, 1, 5, 11, 2, 2, 0), # 112
(21, 15, 17, 18, 6, 6, 2, 6, 8, 4, 3, 2, 0, 12, 13, 12, 11, 12, 13, 7, 4, 10, 3, 4, 1, 0), # 113
(15, 12, 10, 11, 16, 5, 8, 1, 6, 1, 3, 1, 0, 15, 15, 11, 13, 16, 10, 7, 9, 3, 4, 4, 1, 0), # 114
(17, 19, 11, 11, 16, 8, 5, 8, 4, 2, 3, 2, 0, 16, 18, 16, 4, 12, 1, 4, 7, 7, 5, 2, 0, 0), # 115
(19, 12, 8, 12, 14, 6, 6, 3, 5, 5, 3, 1, 0, 19, 11, 10, 7, 14, 6, 9, 3, 10, 2, 2, 0, 0), # 116
(20, 13, 12, 18, 15, 6, 9, 5, 7, 0, 2, 3, 0, 26, 21, 12, 5, 10, 8, 3, 7, 8, 7, 4, 0, 0), # 117
(15, 10, 10, 17, 13, 5, 7, 4, 3, 2, 0, 1, 0, 9, 14, 10, 4, 12, 7, 6, 2, 7, 4, 2, 0, 0), # 118
(17, 14, 11, 16, 10, 4, 3, 5, 11, 3, 0, 2, 0, 14, 15, 4, 10, 9, 6, 6, 1, 6, 9, 1, 2, 0), # 119
(17, 4, 17, 19, 10, 9, 5, 3, 10, 3, 1, 0, 0, 25, 13, 9, 9, 12, 8, 3, 4, 4, 9, 4, 1, 0), # 120
(19, 13, 12, 12, 20, 7, 3, 1, 6, 5, 2, 1, 0, 10, 15, 13, 7, 13, 5, 6, 4, 3, 4, 0, 2, 0), # 121
(16, 13, 12, 16, 12, 4, 3, 4, 8, 6, 2, 1, 0, 10, 10, 7, 4, 15, 9, 3, 2, 5, 6, 2, 2, 0), # 122
(19, 9, 10, 13, 12, 5, 2, 3, 6, 2, 4, 1, 0, 10, 13, 7, 8, 22, 1, 3, 6, 3, 3, 2, 0, 0), # 123
(21, 18, 15, 14, 15, 4, 4, 6, 6, 1, 2, 0, 0, 12, 11, 10, 9, 20, 3, 2, 6, 11, 7, 2, 0, 0), # 124
(10, 18, 13, 17, 16, 3, 6, 2, 11, 1, 1, 1, 0, 14, 15, 10, 10, 21, 8, 8, 6, 7, 8, 4, 4, 0), # 125
(13, 8, 11, 10, 9, 7, 3, 5, 9, 3, 4, 2, 0, 12, 10, 8, 12, 9, 7, 6, 6, 6, 5, 2, 0, 0), # 126
(16, 7, 9, 17, 12, 3, 10, 9, 5, 1, 1, 6, 0, 10, 17, 9, 8, 13, 5, 9, 4, 4, 5, 5, 1, 0), # 127
(20, 9, 12, 13, 12, 7, 5, 3, 5, 4, 4, 1, 0, 19, 17, 13, 5, 11, 10, 2, 3, 11, 10, 1, 2, 0), # 128
(11, 18, 15, 14, 13, 5, 8, 7, 5, 3, 1, 1, 0, 17, 20, 9, 9, 15, 11, 7, 5, 3, 3, 5, 1, 0), # 129
(19, 18, 13, 12, 11, 6, 5, 5, 8, 3, 2, 1, 0, 16, 13, 7, 9, 11, 11, 6, 7, 7, 1, 2, 2, 0), # 130
(13, 13, 18, 11, 11, 6, 7, 4, 8, 3, 0, 0, 0, 21, 15, 4, 9, 19, 3, 3, 5, 3, 6, 1, 2, 0), # 131
(13, 7, 8, 16, 15, 4, 5, 10, 10, 4, 2, 1, 0, 7, 13, 14, 5, 6, 4, 3, 3, 4, 5, 4, 2, 0), # 132
(21, 12, 17, 15, 10, 5, 5, 6, 6, 2, 0, 3, 0, 17, 9, 13, 10, 9, 3, 5, 3, 4, 2, 0, 1, 0), # 133
(17, 16, 11, 19, 11, 8, 3, 2, 9, 3, 3, 2, 0, 10, 12, 8, 3, 11, 6, 6, 2, 10, 6, 0, 0, 0), # 134
(17, 6, 17, 10, 9, 6, 3, 7, 7, 2, 2, 0, 0, 9, 12, 8, 7, 10, 10, 2, 4, 5, 4, 1, 2, 0), # 135
(22, 6, 7, 22, 14, 10, 3, 6, 1, 2, 3, 0, 0, 16, 5, 8, 5, 8, 10, 3, 5, 3, 11, 1, 0, 0), # 136
(10, 9, 13, 10, 13, 5, 10, 7, 5, 2, 6, 2, 0, 20, 17, 11, 2, 18, 6, 7, 5, 4, 2, 2, 1, 0), # 137
(12, 9, 14, 23, 14, 8, 7, 3, 7, 5, 1, 0, 0, 15, 13, 10, 7, 7, 3, 9, 4, 4, 0, 3, 2, 0), # 138
(22, 12, 10, 8, 11, 7, 2, 0, 6, 1, 1, 0, 0, 17, 9, 5, 8, 12, 4, 3, 3, 7, 4, 4, 1, 0), # 139
(19, 11, 10, 10, 8, 8, 4, 6, 5, 4, 1, 0, 0, 18, 15, 6, 6, 8, 2, 3, 2, 11, 4, 4, 1, 0), # 140
(20, 12, 14, 12, 10, 5, 6, 2, 6, 1, 1, 2, 0, 15, 19, 10, 9, 17, 5, 5, 7, 4, 3, 1, 1, 0), # 141
(11, 13, 13, 9, 10, 5, 6, 5, 7, 2, 2, 0, 0, 18, 14, 7, 9, 16, 9, 7, 3, 7, 2, 3, 1, 0), # 142
(12, 10, 12, 10, 16, 4, 5, 3, 9, 2, 3, 3, 0, 17, 13, 12, 10, 15, 3, 6, 9, 6, 8, 1, 0, 0), # 143
(15, 11, 12, 10, 11, 4, 7, 7, 5, 1, 1, 0, 0, 18, 13, 8, 3, 21, 3, 6, 8, 1, 5, 4, 2, 0), # 144
(15, 14, 12, 8, 7, 2, 1, 8, 5, 1, 4, 1, 0, 14, 15, 8, 4, 13, 9, 6, 8, 9, 3, 2, 0, 0), # 145
(16, 7, 14, 9, 12, 10, 7, 0, 3, 3, 1, 0, 0, 22, 7, 4, 8, 14, 5, 4, 5, 8, 7, 6, 2, 0), # 146
(14, 8, 16, 18, 8, 4, 4, 2, 8, 1, 2, 2, 0, 15, 12, 8, 10, 9, 4, 6, 5, 9, 7, 3, 0, 0), # 147
(14, 8, 19, 13, 10, 8, 7, 6, 7, 2, 4, 0, 0, 17, 7, 9, 8, 14, 8, 3, 5, 5, 3, 2, 2, 0), # 148
(13, 10, 5, 19, 15, 8, 3, 5, 10, 3, 3, 0, 0, 10, 13, 7, 8, 13, 5, 0, 4, 2, 2, 5, 1, 0), # 149
(17, 10, 7, 10, 14, 6, 5, 7, 5, 3, 4, 1, 0, 13, 12, 5, 9, 12, 7, 4, 5, 4, 2, 3, 0, 0), # 150
(17, 9, 17, 17, 17, 12, 2, 4, 5, 3, 2, 2, 0, 16, 17, 7, 7, 18, 1, 2, 4, 4, 4, 3, 1, 0), # 151
(14, 7, 6, 11, 12, 4, 4, 7, 7, 1, 0, 1, 0, 13, 13, 8, 6, 16, 8, 3, 2, 5, 6, 3, 1, 0), # 152
(15, 9, 15, 8, 12, 2, 2, 3, 6, 0, 3, 3, 0, 17, 17, 6, 5, 11, 10, 6, 5, 8, 3, 2, 0, 0), # 153
(9, 12, 8, 17, 6, 4, 3, 4, 2, 3, 0, 1, 0, 13, 15, 6, 9, 13, 4, 5, 2, 3, 5, 2, 0, 0), # 154
(19, 11, 17, 10, 6, 7, 7, 5, 6, 1, 3, 2, 0, 10, 16, 8, 10, 15, 2, 3, 1, 6, 2, 1, 1, 0), # 155
(8, 7, 11, 13, 12, 4, 6, 2, 9, 2, 0, 1, 0, 12, 17, 5, 6, 8, 5, 2, 5, 6, 4, 1, 2, 0), # 156
(17, 14, 14, 12, 11, 4, 5, 0, 8, 4, 4, 2, 0, 15, 13, 8, 10, 15, 3, 6, 1, 11, 6, 3, 0, 0), # 157
(12, 9, 17, 10, 7, 3, 5, 3, 7, 0, 3, 2, 0, 16, 9, 7, 9, 8, 4, 1, 7, 3, 3, 2, 0, 0), # 158
(10, 9, 15, 21, 14, 7, 2, 6, 4, 2, 1, 1, 0, 11, 19, 10, 9, 19, 3, 3, 1, 8, 1, 3, 0, 0), # 159
(10, 12, 11, 11, 13, 4, 5, 5, 9, 3, 0, 0, 0, 13, 10, 9, 3, 12, 5, 3, 6, 2, 6, 1, 1, 0), # 160
(13, 17, 16, 17, 4, 5, 4, 6, 6, 2, 1, 0, 0, 11, 11, 5, 10, 15, 7, 10, 2, 3, 6, 6, 2, 0), # 161
(10, 7, 11, 6, 8, 9, 4, 8, 3, 1, 3, 5, 0, 15, 10, 8, 5, 12, 5, 4, 2, 0, 1, 1, 0, 0), # 162
(20, 12, 6, 11, 11, 6, 6, 10, 12, 5, 4, 2, 0, 21, 7, 10, 10, 8, 4, 7, 4, 4, 3, 3, 1, 0), # 163
(13, 6, 9, 7, 15, 6, 2, 6, 5, 3, 0, 1, 0, 11, 8, 11, 11, 13, 8, 2, 5, 5, 1, 2, 0, 0), # 164
(16, 11, 14, 11, 13, 2, 4, 2, 5, 2, 1, 0, 0, 9, 11, 4, 10, 13, 3, 4, 4, 4, 2, 3, 1, 0), # 165
(18, 9, 12, 7, 15, 4, 5, 4, 8, 0, 1, 1, 0, 9, 8, 9, 4, 10, 4, 1, 3, 14, 6, 1, 0, 0), # 166
(14, 3, 8, 10, 7, 6, 2, 3, 4, 1, 0, 1, 0, 15, 3, 8, 13, 7, 3, 7, 6, 8, 2, 1, 1, 0), # 167
(14, 8, 7, 12, 7, 8, 1, 1, 2, 0, 3, 3, 0, 17, 8, 1, 6, 11, 4, 2, 0, 3, 0, 2, 0, 0), # 168
(12, 11, 7, 10, 13, 2, 2, 3, 6, 3, 1, 0, 0, 11, 11, 14, 4, 8, 4, 1, 4, 5, 5, 0, 1, 0), # 169
(6, 11, 8, 11, 12, 6, 2, 1, 6, 0, 1, 0, 0, 12, 9, 5, 6, 11, 6, 2, 4, 3, 2, 3, 0, 0), # 170
(6, 6, 12, 10, 10, 5, 1, 1, 3, 1, 1, 1, 0, 12, 11, 2, 3, 4, 1, 2, 3, 3, 3, 1, 0, 0), # 171
(10, 6, 12, 15, 9, 4, 5, 3, 1, 3, 2, 0, 0, 13, 6, 4, 5, 11, 6, 1, 3, 2, 4, 1, 0, 0), # 172
(9, 6, 9, 5, 10, 2, 3, 3, 9, 1, 2, 0, 0, 13, 8, 4, 2, 8, 7, 1, 2, 2, 7, 0, 2, 0), # 173
(9, 5, 7, 11, 10, 4, 2, 2, 3, 2, 0, 1, 0, 11, 5, 6, 1, 6, 8, 3, 0, 6, 4, 0, 0, 0), # 174
(11, 4, 5, 12, 11, 0, 4, 2, 5, 0, 0, 0, 0, 9, 4, 5, 4, 6, 4, 2, 3, 2, 2, 0, 0, 0), # 175
(6, 7, 8, 11, 3, 5, 2, 4, 2, 2, 2, 0, 0, 15, 4, 5, 2, 7, 1, 4, 4, 2, 2, 4, 0, 0), # 176
(6, 3, 7, 6, 3, 3, 1, 0, 3, 2, 0, 1, 0, 4, 5, 4, 8, 10, 4, 0, 3, 4, 2, 1, 0, 0), # 177
(9, 2, 6, 5, 2, 2, 2, 2, 2, 0, 0, 2, 0, 7, 6, 8, 0, 5, 1, 1, 4, 3, 3, 1, 1, 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 = (
(9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), # 0
(9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), # 1
(10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), # 2
(10.830164027663812, 11.904876903485604, 11.228419564775738, 13.391237533557733, 11.974791016803424, 6.763213120653203, 8.93160655496632, 10.021142083490112, 13.122243289657968, 8.526208857167125, 9.061827141289289, 10.55283423287483, 10.955291051257605), # 3
(11.417645067148767, 12.545865358714394, 11.833007219465467, 14.112519554488625, 12.621860286833686, 7.127516173317602, 9.412098603315226, 10.559397350150848, 13.828863682048873, 8.984800614901822, 9.550033442263036, 11.120937106238575, 11.54553953929167), # 4
(11.996212893630318, 13.176463994898459, 12.427792080754532, 14.822104834296708, 13.258745850058704, 7.485908342564186, 9.884804246505404, 11.088913983344266, 14.524018412366805, 9.435963250653593, 10.030324547784838, 11.679828133021466, 12.126213647339089), # 5
(12.5635358661204, 13.794078133646101, 13.010327151342958, 15.517074276089375, 13.882852393696878, 7.836915606841555, 10.347778271666273, 11.60751472020448, 15.204848463426268, 9.877839946834966, 10.500724434920908, 12.227208052458254, 12.694924867859292), # 6
(13.117282343630944, 14.396113096565637, 13.578165433930742, 16.194508782974033, 14.491584604966597, 8.179063944598298, 10.799075465927253, 12.113022297865593, 15.868494818041759, 10.308573885858456, 10.959257080737483, 12.760777603783673, 13.249284693311735), # 7
(13.655120685173882, 14.979974205265378, 14.128859931217914, 16.85148925805807, 15.082347171086255, 8.510879334283002, 11.236750616417757, 12.603259453461705, 16.512098459027772, 10.726308250136594, 11.403946462300778, 13.278237526232465, 13.786904616155851), # 8
(14.174719249761154, 15.543066781353641, 14.659963645904467, 17.485096604448906, 15.652544779274237, 8.830887754344271, 11.658858510267216, 13.076048924126933, 17.132800369198815, 11.129186222081895, 11.83281655667702, 13.777288559039365, 14.305396128851092), # 9
(14.673746396404677, 16.082796146438728, 15.169029580690424, 18.092411725253918, 16.199582116748942, 9.137615183230693, 12.063453934605038, 13.52921344699538, 17.727741531369386, 11.515350984106886, 12.243891340932432, 14.255631441439114, 14.802370723856898), # 10
(15.149870484116411, 16.596567622128973, 15.653610738275788, 18.670515523580516, 16.72086387072876, 9.429587599390864, 12.44859167656065, 13.960575759201147, 18.294062928353988, 11.882945718624095, 12.635194792133248, 14.710966912666459, 15.2754398936327), # 11
(15.600759871908263, 17.081786530032655, 16.111260121360573, 19.216488902536103, 17.21379472843208, 9.705330981273365, 12.812326523263462, 14.367958597878339, 18.82890554296712, 12.23011360804603, 13.004750887345683, 15.140995711956123, 15.722215130637963), # 12
(16.02408291879218, 17.535858191758116, 16.539530732644792, 19.727412765228078, 17.675779377077284, 9.963371307326803, 13.152713261842901, 14.749184700161067, 19.329410358023278, 12.554997834785228, 13.350583603635965, 15.543418578542857, 16.140307927332124), # 13
(16.41750798378009, 17.95618792891366, 16.935975574828465, 20.20036801476383, 18.10422250388278, 10.202234555999762, 13.46780667942839, 15.102076803183444, 19.79271835633696, 12.855741581254202, 13.670716918070312, 15.915936251661408, 16.527329776174614), # 14
(16.77870342588394, 18.34018106310759, 17.298147650611575, 20.632435554250776, 18.496528796066954, 10.420446705740842, 13.755661563149326, 15.424457644079562, 20.215970520722674, 13.130488029865482, 13.963174807714955, 16.256249470546507, 16.880892169624886), # 15
(17.10533760411564, 18.685242915948237, 17.623599962694165, 21.02069628679629, 18.8501029408482, 10.616533734998628, 14.014332700135158, 15.71414995998353, 20.596307833994917, 13.377380363031593, 14.225981249636122, 16.56205897443289, 17.198606600142384), # 16
(17.395078877487137, 18.988778809043904, 17.909885513776235, 21.362231115507804, 19.162349625444907, 10.789021622221714, 14.24187487751528, 15.968976488029472, 20.930871278968173, 13.594561763165041, 14.457160220900038, 16.8310655025553, 17.47808456018655), # 17
(17.645595605010367, 19.248194064002895, 18.154557306557784, 21.654120943492703, 19.43067353707546, 10.936436345858706, 14.436342882419133, 16.18675996535147, 21.216801838456973, 13.780175412678366, 14.654735698572916, 17.060969794148487, 17.716937542216822), # 18
(17.85455614569726, 19.46089400243354, 18.355168343738843, 21.893446673858367, 19.65247936295826, 11.057303884358175, 14.59579150197611, 16.36532312908364, 21.4512404952758, 13.93236449398409, 14.81673165972098, 17.249472588447173, 17.912777038692653), # 19
(18.01962885855975, 19.624283945944132, 18.509271628019405, 22.077289209712237, 19.8251717903117, 11.150150216168733, 14.718275523315652, 16.50248871636009, 21.631328232239156, 14.049272189494726, 14.94117208141047, 17.394274624686105, 18.063214542073485), # 20
(18.13848210260976, 19.735769216143005, 18.614420162099496, 22.202729454161673, 19.94615550635416, 11.213501319738963, 14.801849733567167, 16.596079464314922, 21.754206032161537, 14.1290416816228, 15.026080940707608, 17.49307664210003, 18.165861544818743), # 21
(18.20878423685924, 19.792755134638462, 18.668166948679115, 22.266848310314106, 20.012835198304035, 11.245883173517461, 14.844568919860079, 16.643918110082247, 21.81701487785745, 14.169816152780836, 15.069482214678613, 17.54357937992368, 18.218329539387888), # 22
(18.23470805401675, 19.799502469135803, 18.674861728395065, 22.274875462962967, 20.029917700858675, 11.25, 14.84964720406681, 16.64908888888889, 21.824867222222224, 14.17462609053498, 15.074924466891131, 17.549815637860082, 18.225), # 23
(18.253822343461476, 19.79556666666667, 18.673766666666666, 22.273887500000004, 20.039593704506736, 11.25, 14.8468568627451, 16.6419, 21.823815, 14.17167111111111, 15.074324242424245, 17.548355555555556, 18.225), # 24
(18.272533014380844, 19.78780864197531, 18.671604938271606, 22.27193287037037, 20.049056902070106, 11.25, 14.841358024691358, 16.62777777777778, 21.82173611111111, 14.16585390946502, 15.073134118967452, 17.545473251028806, 18.225), # 25
(18.290838634286462, 19.776346913580248, 18.668406172839507, 22.269033796296295, 20.05830696315799, 11.25, 14.833236092955698, 16.60698888888889, 21.81865722222222, 14.157271275720165, 15.07136487093154, 17.54120823045268, 18.225), # 26
(18.308737770689945, 19.7613, 18.6642, 22.265212499999997, 20.067343557379587, 11.25, 14.822576470588237, 16.579800000000002, 21.814605, 14.146019999999998, 15.069027272727272, 17.535600000000002, 18.225), # 27
(18.3262289911029, 19.742786419753084, 18.659016049382718, 22.260491203703705, 20.076166354344124, 11.25, 14.809464560639071, 16.54647777777778, 21.809606111111112, 14.132196872427985, 15.066132098765433, 17.528688065843625, 18.225), # 28
(18.34331086303695, 19.720924691358025, 18.652883950617287, 22.25489212962963, 20.084775023660796, 11.25, 14.793985766158318, 16.507288888888887, 21.803687222222223, 14.115898683127574, 15.06269012345679, 17.520511934156378, 18.225), # 29
(18.359981954003697, 19.695833333333333, 18.645833333333332, 22.2484375, 20.093169234938827, 11.25, 14.776225490196078, 16.4625, 21.796875, 14.097222222222223, 15.058712121212121, 17.51111111111111, 18.225), # 30
(18.376240831514746, 19.667630864197534, 18.637893827160497, 22.241149537037035, 20.101348657787415, 11.25, 14.756269135802471, 16.412377777777778, 21.78919611111111, 14.07626427983539, 15.054208866442199, 17.500525102880662, 18.225), # 31
(18.392086063081717, 19.636435802469137, 18.629095061728393, 22.233050462962964, 20.10931296181577, 11.25, 14.734202106027599, 16.357188888888892, 21.780677222222224, 14.053121646090535, 15.0491911335578, 17.48879341563786, 18.225), # 32
(18.407516216216216, 19.602366666666665, 18.619466666666668, 22.2241625, 20.117061816633115, 11.25, 14.710109803921569, 16.2972, 21.771345, 14.027891111111112, 15.043669696969696, 17.475955555555554, 18.225), # 33
(18.422529858429858, 19.56554197530864, 18.609038271604938, 22.21450787037037, 20.12459489184864, 11.25, 14.684077632534496, 16.232677777777777, 21.761226111111114, 14.000669465020577, 15.037655331088663, 17.462051028806584, 18.225), # 34
(18.437125557234253, 19.52608024691358, 18.597839506172843, 22.204108796296293, 20.131911857071568, 11.25, 14.656190994916486, 16.163888888888888, 21.750347222222224, 13.971553497942386, 15.031158810325476, 17.447119341563788, 18.225), # 35
(18.45130188014101, 19.484099999999998, 18.5859, 22.192987499999997, 20.139012381911105, 11.25, 14.626535294117646, 16.0911, 21.738735, 13.94064, 15.024190909090908, 17.431200000000004, 18.225), # 36
(18.46505739466174, 19.43971975308642, 18.57324938271605, 22.181166203703704, 20.145896135976457, 11.25, 14.595195933188089, 16.014577777777777, 21.72641611111111, 13.908025761316873, 15.016762401795738, 17.414332510288066, 18.225), # 37
(18.47839066830806, 19.39305802469136, 18.559917283950615, 22.168667129629632, 20.152562788876843, 11.25, 14.562258315177923, 15.934588888888891, 21.713417222222223, 13.873807572016462, 15.00888406285073, 17.396556378600824, 18.225), # 38
(18.491300268591576, 19.34423333333333, 18.545933333333334, 22.1555125, 20.159012010221467, 11.25, 14.527807843137257, 15.8514, 21.699765000000003, 13.838082222222223, 15.000566666666668, 17.37791111111111, 18.225), # 39
(18.503784763023894, 19.293364197530863, 18.531327160493827, 22.14172453703704, 20.165243469619533, 11.25, 14.491929920116196, 15.765277777777781, 21.685486111111114, 13.800946502057615, 14.99182098765432, 17.358436213991773, 18.225), # 40
(18.51584271911663, 19.24056913580247, 18.51612839506173, 22.127325462962965, 20.171256836680264, 11.25, 14.454709949164851, 15.67648888888889, 21.67060722222222, 13.76249720164609, 14.982657800224468, 17.338171193415636, 18.225), # 41
(18.527472704381402, 19.18596666666667, 18.500366666666668, 22.112337500000002, 20.177051781012857, 11.25, 14.416233333333333, 15.5853, 21.655155000000004, 13.72283111111111, 14.97308787878788, 17.317155555555555, 18.225), # 42
(18.538673286329807, 19.12967530864198, 18.484071604938272, 22.096782870370372, 20.182627972226527, 11.25, 14.37658547567175, 15.491977777777779, 21.63915611111111, 13.682045020576133, 14.96312199775533, 17.295428806584365, 18.225), # 43
(18.54944303247347, 19.071813580246914, 18.467272839506176, 22.0806837962963, 20.18798507993048, 11.25, 14.335851779230211, 15.396788888888892, 21.62263722222222, 13.64023572016461, 14.952770931537597, 17.2730304526749, 18.225), # 44
(18.55978051032399, 19.0125, 18.45, 22.064062500000002, 20.193122773733933, 11.25, 14.294117647058824, 15.3, 21.605625, 13.597500000000002, 14.942045454545454, 17.25, 18.225), # 45
(18.569684287392985, 18.951853086419753, 18.432282716049382, 22.046941203703703, 20.198040723246088, 11.25, 14.251468482207699, 15.20187777777778, 21.588146111111108, 13.553934650205761, 14.930956341189674, 17.226376954732512, 18.225), # 46
(18.579152931192063, 18.88999135802469, 18.41415061728395, 22.02934212962963, 20.202738598076163, 11.25, 14.207989687726945, 15.102688888888888, 21.570227222222226, 13.50963646090535, 14.919514365881032, 17.20220082304527, 18.225), # 47
(18.588185009232834, 18.827033333333333, 18.395633333333333, 22.0112875, 20.20721606783336, 11.25, 14.163766666666668, 15.0027, 21.551895000000002, 13.464702222222222, 14.907730303030302, 17.177511111111112, 18.225), # 48
(18.596779089026917, 18.763097530864197, 18.376760493827163, 21.99279953703704, 20.211472802126895, 11.25, 14.118884822076978, 14.902177777777778, 21.53317611111111, 13.419228724279836, 14.895614927048262, 17.152347325102884, 18.225), # 49
(18.604933738085908, 18.698302469135808, 18.357561728395066, 21.973900462962963, 20.21550847056597, 11.25, 14.073429557007989, 14.801388888888889, 21.514097222222222, 13.373312757201646, 14.883179012345678, 17.126748971193418, 18.225), # 50
(18.61264752392144, 18.63276666666667, 18.338066666666666, 21.9546125, 20.219322742759797, 11.25, 14.027486274509805, 14.7006, 21.494685000000004, 13.32705111111111, 14.870433333333335, 17.10075555555556, 18.225), # 51
(18.619919014045102, 18.56660864197531, 18.318304938271606, 21.934957870370372, 20.222915288317584, 11.25, 13.981140377632535, 14.600077777777777, 21.47496611111111, 13.280540576131688, 14.857388664421999, 17.074406584362144, 18.225), # 52
(18.626746775968517, 18.49994691358025, 18.29830617283951, 21.914958796296297, 20.226285776848552, 11.25, 13.93447726942629, 14.50008888888889, 21.454967222222226, 13.233877942386831, 14.844055780022448, 17.04774156378601, 18.225), # 53
(18.63312937720329, 18.432900000000004, 18.2781, 21.8946375, 20.229433877961906, 11.25, 13.887582352941177, 14.400899999999998, 21.434715, 13.18716, 14.830445454545453, 17.0208, 18.225), # 54
(18.63906538526104, 18.365586419753086, 18.25771604938272, 21.874016203703704, 20.232359261266843, 11.25, 13.840541031227307, 14.302777777777777, 21.414236111111112, 13.140483539094651, 14.816568462401795, 16.993621399176956, 18.225), # 55
(18.64455336765337, 18.298124691358026, 18.237183950617286, 21.85311712962963, 20.235061596372585, 11.25, 13.793438707334786, 14.20598888888889, 21.393557222222224, 13.09394534979424, 14.802435578002246, 16.96624526748971, 18.225), # 56
(18.649591891891887, 18.230633333333333, 18.216533333333334, 21.8319625, 20.23754055288834, 11.25, 13.746360784313726, 14.110800000000001, 21.372705, 13.047642222222223, 14.788057575757577, 16.93871111111111, 18.225), # 57
(18.654179525488225, 18.163230864197534, 18.195793827160493, 21.810574537037034, 20.239795800423316, 11.25, 13.699392665214235, 14.017477777777778, 21.35170611111111, 13.001670946502058, 14.773445230078567, 16.91105843621399, 18.225), # 58
(18.658314835953966, 18.096035802469135, 18.174995061728396, 21.788975462962963, 20.24182700858672, 11.25, 13.65261975308642, 13.92628888888889, 21.330587222222224, 12.956128312757203, 14.758609315375981, 16.883326748971193, 18.225), # 59
(18.661996390800738, 18.02916666666667, 18.154166666666665, 21.767187500000002, 20.243633846987766, 11.25, 13.606127450980392, 13.8375, 21.309375000000003, 12.911111111111111, 14.743560606060607, 16.855555555555558, 18.225), # 60
(18.665222757540146, 17.962741975308646, 18.13333827160494, 21.74523287037037, 20.24521598523566, 11.25, 13.560001161946259, 13.751377777777778, 21.288096111111113, 12.866716131687244, 14.728309876543209, 16.82778436213992, 18.225), # 61
(18.66799250368381, 17.89688024691358, 18.112539506172844, 21.7231337962963, 20.246573092939624, 11.25, 13.514326289034132, 13.66818888888889, 21.266777222222224, 12.823040164609054, 14.712867901234567, 16.80005267489712, 18.225), # 62
(18.670304196743327, 17.831699999999998, 18.0918, 21.7009125, 20.24770483970884, 11.25, 13.469188235294117, 13.5882, 21.245445, 12.78018, 14.697245454545456, 16.7724, 18.225), # 63
(18.672156404230314, 17.767319753086422, 18.071149382716047, 21.678591203703704, 20.24861089515255, 11.25, 13.424672403776325, 13.511677777777779, 21.22412611111111, 12.738232427983538, 14.681453310886642, 16.7448658436214, 18.225), # 64
(18.67354769365639, 17.703858024691357, 18.05061728395062, 21.65619212962963, 20.24929092887994, 11.25, 13.380864197530865, 13.438888888888888, 21.202847222222225, 12.697294238683126, 14.665502244668913, 16.717489711934153, 18.225), # 65
(18.674476632533153, 17.641433333333335, 18.030233333333335, 21.6337375, 20.249744610500233, 11.25, 13.337849019607843, 13.3701, 21.181635000000004, 12.657462222222222, 14.649403030303029, 16.690311111111114, 18.225), # 66
(18.674941788372227, 17.580164197530863, 18.010027160493827, 21.611249537037036, 20.249971609622634, 11.25, 13.29571227305737, 13.30557777777778, 21.16051611111111, 12.618833168724281, 14.633166442199778, 16.6633695473251, 18.225), # 67
(18.674624906065485, 17.519847550776582, 17.989930709876543, 21.588555132850242, 20.249780319535223, 11.24979122085048, 13.254327350693364, 13.245018930041153, 21.13935812757202, 12.5813167949649, 14.616514779372677, 16.636554039419536, 18.22477527006173), # 68
(18.671655072463768, 17.458641935483872, 17.969379166666666, 21.564510326086953, 20.248039215686273, 11.248140740740741, 13.212482726423904, 13.185177777777778, 21.11723611111111, 12.543851503267971, 14.597753110047847, 16.608994152046783, 18.222994791666668), # 69
(18.665794417606012, 17.39626642771804, 17.948283179012343, 21.538956823671498, 20.244598765432098, 11.244890260631001, 13.169988242210465, 13.125514403292183, 21.09402520576132, 12.506255144032922, 14.576667995746943, 16.580560970327056, 18.219478202160495), # 70
(18.657125389157272, 17.332758303464754, 17.92665015432099, 21.51193230676329, 20.239502541757446, 11.240092455418381, 13.12686298717018, 13.066048559670783, 21.06975997942387, 12.46852864681675, 14.553337267410951, 16.551275286982886, 18.21427179783951), # 71
(18.64573043478261, 17.268154838709677, 17.9044875, 21.48347445652174, 20.23279411764706, 11.2338, 13.083126050420168, 13.0068, 21.044475000000002, 12.43067294117647, 14.527838755980863, 16.52115789473684, 18.207421875), # 72
(18.631692002147076, 17.20249330943847, 17.88180262345679, 21.45362095410628, 20.224517066085692, 11.226065569272976, 13.038796521077565, 12.947788477366256, 21.01820483539095, 12.392688956669087, 14.50025029239766, 16.490229586311454, 18.198974729938275), # 73
(18.61509253891573, 17.1358109916368, 17.858602932098762, 21.42240948067633, 20.214714960058096, 11.216941838134431, 12.9938934882595, 12.889033744855967, 20.990984053497943, 12.354577622851611, 14.470649707602341, 16.45851115442928, 18.18897665895062), # 74
(18.59601449275362, 17.06814516129032, 17.83489583333333, 21.389877717391304, 20.203431372549023, 11.206481481481482, 12.9484360410831, 12.830555555555556, 20.96284722222222, 12.316339869281046, 14.439114832535884, 16.426023391812866, 18.177473958333334), # 75
(18.57454031132582, 16.99953309438471, 17.8106887345679, 21.35606334541063, 20.19070987654321, 11.19473717421125, 12.902443268665492, 12.772373662551441, 20.93382890946502, 12.277976625514404, 14.405723498139285, 16.392787091184747, 18.164512924382716), # 76
(18.55075244229737, 16.93001206690562, 17.785989043209874, 21.32100404589372, 20.176594045025414, 11.18176159122085, 12.855934260123803, 12.714507818930043, 20.90396368312757, 12.239488821108692, 14.370553535353537, 16.358823045267492, 18.150139853395064), # 77
(18.524733333333334, 16.859619354838713, 17.760804166666667, 21.2847375, 20.16112745098039, 11.167607407407406, 12.808928104575164, 12.65697777777778, 20.87328611111111, 12.200877385620915, 14.333682775119618, 16.324152046783627, 18.134401041666667), # 78
(18.496565432098766, 16.788392234169656, 17.735141512345677, 21.24730138888889, 20.144353667392885, 11.152327297668037, 12.761443891136702, 12.59980329218107, 20.84183076131687, 12.162143248608086, 14.29518904837852, 16.28879488845571, 18.117342785493825), # 79
(18.466331186258724, 16.71636798088411, 17.70900848765432, 21.208733393719807, 20.126316267247642, 11.135973936899862, 12.713500708925546, 12.543004115226339, 20.809632201646092, 12.123287339627208, 14.255150186071239, 16.252772363006283, 18.09901138117284), # 80
(18.434113043478263, 16.643583870967742, 17.682412499999998, 21.169071195652176, 20.10705882352941, 11.118599999999999, 12.665117647058823, 12.486600000000001, 20.776725, 12.084310588235295, 14.213644019138757, 16.216105263157896, 18.079453124999997), # 81
(18.399993451422436, 16.570077180406216, 17.655360956790126, 21.12835247584541, 20.086624909222948, 11.10025816186557, 12.616313794653665, 12.430610699588478, 20.743143724279836, 12.045213923989348, 14.170748378522063, 16.178814381633096, 18.058714313271608), # 82
(18.364054857756308, 16.495885185185184, 17.6278612654321, 21.086614915458934, 20.065058097313, 11.08100109739369, 12.567108240827196, 12.37505596707819, 20.70892294238683, 12.00599827644638, 14.12654109516215, 16.14092051115443, 18.036841242283952), # 83
(18.326379710144927, 16.421045161290323, 17.599920833333332, 21.043896195652174, 20.042401960784314, 11.060881481481482, 12.517520074696545, 12.319955555555556, 20.674097222222223, 11.9666645751634, 14.0811, 16.102444444444444, 18.013880208333333), # 84
(18.287050456253354, 16.345594384707287, 17.571547067901232, 21.000233997584544, 20.01870007262164, 11.039951989026063, 12.467568385378843, 12.265329218106997, 20.63870113168724, 11.92721374969741, 14.034502923976609, 16.06340697422569, 17.989877507716052), # 85
(18.246149543746643, 16.269570131421744, 17.54274737654321, 20.955666002415462, 19.99399600580973, 11.018265294924555, 12.417272261991217, 12.21119670781893, 20.60276923868313, 11.887646729605423, 13.986827698032961, 16.02382889322071, 17.964879436728395), # 86
(18.203759420289852, 16.193009677419354, 17.513529166666665, 20.910229891304347, 19.968333333333337, 10.995874074074074, 12.366650793650793, 12.157577777777778, 20.566336111111116, 11.847964444444443, 13.938152153110048, 15.983730994152046, 17.938932291666667), # 87
(18.159962533548043, 16.11595029868578, 17.483899845679012, 20.86396334541063, 19.941755628177198, 10.972831001371743, 12.315723069474704, 12.104492181069958, 20.52943631687243, 11.808167823771482, 13.888554120148857, 15.943134069742257, 17.912082368827164), # 88
(18.11484133118626, 16.03842927120669, 17.453866820987656, 20.81690404589372, 19.91430646332607, 10.94918875171468, 12.264508178580074, 12.051959670781894, 20.492104423868312, 11.76825779714355, 13.838111430090379, 15.902058912713883, 17.884375964506173), # 89
(18.068478260869565, 15.960483870967742, 17.423437500000002, 20.769089673913047, 19.886029411764707, 10.925, 12.213025210084034, 12.0, 20.454375000000002, 11.728235294117647, 13.786901913875598, 15.860526315789475, 17.855859375), # 90
(18.020955770263015, 15.8821513739546, 17.392619290123456, 20.720557910628024, 19.85696804647785, 10.900317421124829, 12.161293253103711, 11.9486329218107, 20.41628261316873, 11.688101244250786, 13.735003402445509, 15.818557071691574, 17.826578896604936), # 91
(17.97235630703167, 15.80346905615293, 17.361419598765433, 20.671346437198068, 19.827165940450254, 10.875193689986283, 12.109331396756236, 11.897878189300412, 20.377861831275723, 11.647856577099976, 13.682493726741095, 15.776171973142736, 17.796580825617283), # 92
(17.92276231884058, 15.724474193548389, 17.329845833333334, 20.621492934782612, 19.796666666666667, 10.84968148148148, 12.057158730158731, 11.847755555555556, 20.339147222222223, 11.607502222222221, 13.62945071770335, 15.733391812865497, 17.76591145833333), # 93
(17.872256253354806, 15.645204062126643, 17.29790540123457, 20.571035084541062, 19.765513798111837, 10.823833470507545, 12.00479434242833, 11.798284773662553, 20.300173353909464, 11.567039109174534, 13.575952206273259, 15.690237383582414, 17.734617091049383), # 94
(17.820920558239397, 15.56569593787336, 17.265605709876546, 20.52001056763285, 19.733750907770517, 10.797702331961592, 11.95225732268216, 11.749485596707821, 20.260974794238685, 11.526468167513919, 13.522076023391813, 15.646729478016026, 17.70274402006173), # 95
(17.76883768115942, 15.485987096774197, 17.23295416666667, 20.468457065217393, 19.701421568627453, 10.77134074074074, 11.899566760037347, 11.701377777777779, 20.221586111111108, 11.485790326797385, 13.4679, 15.602888888888891, 17.67033854166667), # 96
(17.716090069779927, 15.406114814814819, 17.199958179012345, 20.416412258454105, 19.668569353667394, 10.744801371742112, 11.846741743611025, 11.65398106995885, 20.182041872427984, 11.445006516581941, 13.413501967038808, 15.558736408923545, 17.637446952160495), # 97
(17.66276017176597, 15.326116367980884, 17.166625154320986, 20.363913828502415, 19.635237835875095, 10.718136899862827, 11.793801362520316, 11.607315226337448, 20.142376646090533, 11.404117666424595, 13.35895975544923, 15.514292830842535, 17.604115547839505), # 98
(17.608930434782607, 15.246029032258065, 17.1329625, 20.31099945652174, 19.601470588235298, 10.6914, 11.740764705882354, 11.5614, 20.102625, 11.363124705882353, 13.304351196172249, 15.469578947368422, 17.570390625), # 99
(17.5546833064949, 15.165890083632016, 17.09897762345679, 20.257706823671498, 19.567311183732752, 10.664643347050754, 11.687650862814262, 11.516255144032922, 20.062821502057616, 11.322028564512225, 13.249754120148857, 15.42461555122374, 17.536318479938274), # 100
(17.500101234567904, 15.085736798088412, 17.064677932098768, 20.204073611111113, 19.532803195352216, 10.637919615912208, 11.634478922433171, 11.471900411522633, 20.02300072016461, 11.280830171871218, 13.195246358320043, 15.379423435131034, 17.501945408950615), # 101
(17.44526666666667, 15.005606451612904, 17.030070833333333, 20.1501375, 19.497990196078433, 10.611281481481482, 11.58126797385621, 11.428355555555555, 19.98319722222222, 11.239530457516341, 13.140905741626794, 15.334023391812867, 17.467317708333336), # 102
(17.390262050456254, 14.92553632019116, 16.9951637345679, 20.095936171497584, 19.462915758896152, 10.584781618655693, 11.528037106200506, 11.385640329218107, 19.943445576131687, 11.1981303510046, 13.086810101010101, 15.28843621399177, 17.432481674382714), # 103
(17.335169833601718, 14.845563679808842, 16.959964043209876, 20.041507306763286, 19.427623456790123, 10.558472702331962, 11.474805408583187, 11.343774485596708, 19.90378034979424, 11.156630781893005, 13.03303726741095, 15.242682694390297, 17.397483603395063), # 104
(17.280072463768114, 14.765725806451613, 16.924479166666668, 19.98688858695652, 19.392156862745097, 10.532407407407408, 11.421591970121383, 11.302777777777779, 19.86423611111111, 11.115032679738563, 12.979665071770334, 15.196783625730996, 17.362369791666666), # 105
(17.225052388620504, 14.686059976105138, 16.888716512345678, 19.932117693236716, 19.356559549745825, 10.50663840877915, 11.36841587993222, 11.262669958847736, 19.82484742798354, 11.07333697409828, 12.92677134502924, 15.15075980073641, 17.327186535493826), # 106
(17.17019205582394, 14.606603464755079, 16.852683487654325, 19.877232306763286, 19.32087509077705, 10.48121838134431, 11.31529622713283, 11.223470781893006, 19.78564886831276, 11.03154459452917, 12.874433918128654, 15.104632012129088, 17.29198013117284), # 107
(17.11557391304348, 14.5273935483871, 16.8163875, 19.822270108695655, 19.28514705882353, 10.4562, 11.262252100840335, 11.185200000000002, 19.746675000000003, 10.989656470588237, 12.82273062200957, 15.05842105263158, 17.256796875000003), # 108
(17.061280407944178, 14.448467502986858, 16.779835956790127, 19.767268780193234, 19.249419026870008, 10.431635939643346, 11.209302590171871, 11.147877366255145, 19.707960390946504, 10.947673531832486, 12.771739287612972, 15.012147714966428, 17.221683063271605), # 109
(17.007393988191087, 14.369862604540026, 16.743036265432103, 19.71226600241546, 19.213734567901238, 10.407578875171467, 11.15646678424456, 11.111522633744855, 19.669539609053498, 10.90559670781893, 12.72153774587985, 14.965832791856185, 17.18668499228395), # 110
(16.953997101449275, 14.29161612903226, 16.705995833333336, 19.65729945652174, 19.178137254901962, 10.384081481481482, 11.103763772175537, 11.076155555555555, 19.631447222222224, 10.863426928104575, 12.672203827751195, 14.919497076023394, 17.151848958333336), # 111
(16.90117219538379, 14.213765352449222, 16.66872206790124, 19.602406823671497, 19.142670660856936, 10.361196433470509, 11.051212643081925, 11.041795884773663, 19.593717798353907, 10.821165122246429, 12.623815364167996, 14.873161360190599, 17.11722125771605), # 112
(16.84890760266548, 14.136477513814715, 16.631312090853726, 19.547700988485673, 19.10731622431267, 10.338965584586125, 10.998946734582185, 11.00853462380509, 19.556483060265517, 10.778948525902914, 12.57646303107516, 14.826947285707972, 17.0827990215178), # 113
(16.796665616220118, 14.060514930345965, 16.594282215038913, 19.493620958299207, 19.071708038219388, 10.317338295353823, 10.947632775139043, 10.976780267109216, 19.52031426428351, 10.73756730224301, 12.530239806803754, 14.781441909803354, 17.048295745488062), # 114
(16.744292825407193, 13.985904957629483, 16.55765447887317, 19.440152109327204, 19.035733820199482, 10.296258322497776, 10.89730737034481, 10.946524777701677, 19.485224961603823, 10.697085590378538, 12.485078120568769, 14.736667648605932, 17.013611936988678), # 115
(16.691723771827743, 13.912538906325063, 16.521357941970972, 19.38719907047953, 18.999339347490803, 10.275675979116777, 10.847888671550209, 10.917684563218188, 19.451126410610094, 10.657428045209185, 12.440890676288666, 14.692541755477222, 16.978693067560602), # 116
(16.63889299708279, 13.840308087092497, 16.485321663946774, 19.33466647066604, 18.9624703973312, 10.255541578309604, 10.799294830105955, 10.890176031294454, 19.417929869685967, 10.618519321634633, 12.39759017788191, 14.64898148377875, 16.943484608744804), # 117
(16.58573504277338, 13.769103810591583, 16.44947470441506, 19.2824589387966, 18.925072746958516, 10.235805433175049, 10.751443997362767, 10.863915589566174, 19.385546597215082, 10.580284074554568, 12.355089329266963, 14.60590408687203, 16.907932032082243), # 118
(16.532184450500534, 13.698817387482112, 16.413746122990304, 19.23048110378107, 18.887092173610597, 10.2164178568119, 10.70425432467136, 10.838819645669062, 19.353887851581078, 10.54264695886867, 12.31330083436229, 14.563226818118581, 16.87198080911388), # 119
(16.47817576186529, 13.629340128423884, 16.37806497928697, 19.17863759452931, 18.848474454525295, 10.197329162318939, 10.657643963382455, 10.814804607238818, 19.322864891167605, 10.50553262947663, 12.272137397086349, 14.520866930879935, 16.835576411380675), # 120
(16.423643518468683, 13.560563344076693, 16.342360332919537, 19.12683303995118, 18.809165366940455, 10.178489662794956, 10.611531064846766, 10.791786881911152, 19.2923889743583, 10.468865741278133, 12.23151172135761, 14.4787416785176, 16.79866431042359), # 121
(16.36852226191174, 13.49237834510033, 16.30656124350248, 19.07497206895654, 18.76911068809392, 10.159849671338735, 10.565833780415012, 10.769682877321769, 19.2623713595368, 10.43257094917286, 12.191336511094532, 14.436768314393102, 16.761189977783587), # 122
(16.312746533795494, 13.424676442154594, 16.270596770650265, 19.02295931045525, 18.728256195223544, 10.141359501049065, 10.52047026143791, 10.74840900110637, 19.232723305086758, 10.396572908060497, 12.151524470215579, 14.394864091867959, 16.72309888500163), # 123
(16.256250875720976, 13.357348945899277, 16.234395973977367, 18.970699393357176, 18.68654766556717, 10.12296946502473, 10.475358659266176, 10.727881660900668, 19.20335606939181, 10.36079627284073, 12.111988302639215, 14.352946264303695, 16.68433650361868), # 124
(16.198969829289226, 13.290287166994178, 16.197887913098263, 18.91809694657217, 18.643930876362642, 10.104629876364521, 10.43041712525053, 10.708017264340365, 19.174180910835588, 10.32516569841324, 12.072640712283903, 14.310932085061827, 16.644848305175692), # 125
(16.14083793610127, 13.22338241609909, 16.16100164762742, 18.8650565990101, 18.60035160484781, 10.086291048167222, 10.385563810741687, 10.688732219061166, 19.145109087801753, 10.289605839677717, 12.033394403068103, 14.268738807503881, 16.604579761213643), # 126
(16.08178973775815, 13.156526003873804, 16.123666237179307, 18.81148297958082, 18.555755628260517, 10.067903293531618, 10.34071686709037, 10.669942932698781, 19.116051858673934, 10.254041351533843, 11.994162078910282, 14.226283684991369, 16.56347634327348), # 127
(16.021759775860883, 13.089609240978122, 16.08581074136841, 18.7572807171942, 18.51008872383862, 10.0494169255565, 10.295794445647289, 10.651565812888913, 19.086920481835772, 10.218396888881303, 11.954856443728904, 14.183483970885819, 16.521483522896165), # 128
(15.960682592010507, 13.022523438071834, 16.047364219809193, 18.702354440760086, 18.46329666881996, 10.03078225734065, 10.250714697763163, 10.633517267267269, 19.057626215670915, 10.182597106619781, 11.915390201442428, 14.140256918548745, 16.478546771622668), # 129
(15.89849272780806, 12.955159905814739, 16.008255732116123, 18.646608779188355, 18.415325240442385, 10.011949601982854, 10.205395774788713, 10.61571370346955, 19.028080318563003, 10.146566659648963, 11.87567605596932, 14.096519781341675, 16.434611560993947), # 130
(15.83512472485457, 12.887409954866628, 15.968414337903685, 18.589948361388856, 18.36612021594374, 9.992869272581904, 10.159755828074656, 10.59807152913147, 18.998194048895677, 10.110230202868534, 11.835626711228041, 14.052189812626125, 16.38962336255096), # 131
(15.770513124751067, 12.8191648958873, 15.927769096786342, 18.532277816271456, 18.315627372561877, 9.973491582236585, 10.113713008971706, 10.580507151888732, 18.967878665052577, 10.073512391178177, 11.795154871137056, 14.007184265763614, 16.343527647834676), # 132
(15.704592469098595, 12.750316039536544, 15.88624906837857, 18.473501772746012, 18.263792487534637, 9.95376684404568, 10.06718546883058, 10.562936979377039, 18.93704542541735, 10.036337879477578, 11.754173239614829, 13.961420394115667, 16.296269888386057), # 133
(15.63729729949817, 12.68075469647416, 15.843783312294848, 18.413524859722386, 18.210561338099865, 9.933645371107978, 10.020091359002002, 10.545277419232098, 18.905605588373632, 9.998631322666423, 11.712594520579822, 13.914815451043799, 16.24779555574605), # 134
(15.568562157550836, 12.610372177359944, 15.800300888149636, 18.352251706110444, 18.15587970149542, 9.913077476522266, 9.972348830836681, 10.527444879089616, 18.873470412305064, 9.960317375644397, 11.670331417950496, 13.867286689909534, 16.198050121455637), # 135
(15.498321584857623, 12.539059792853687, 15.755730855557415, 18.28958694082003, 18.09969335495913, 9.892013473387332, 9.923876035685343, 10.509355766585298, 18.840551155595293, 9.92132069331118, 11.627296635645319, 13.818751364074394, 16.146979057055766), # 136
(15.426510123019561, 12.466708853615184, 15.710002274132659, 18.225435192761026, 18.04194807572886, 9.870403674801956, 9.8745911248987, 10.490926489354854, 18.80675907662796, 9.881565930566463, 11.583402877582751, 13.769126726899895, 16.094527834087398), # 137
(15.353062313637686, 12.393210670304235, 15.66304420348983, 18.159701090843274, 17.982589641042455, 9.848198393864935, 9.824412249827468, 10.472073455033982, 18.772005433786706, 9.840977742309924, 11.538562847681254, 13.718330031747561, 16.040641924091503), # 138
(15.277912698313022, 12.31845655358063, 15.614785703243411, 18.092289263976646, 17.921563828137746, 9.825347943675048, 9.773257561822367, 10.452713071258394, 18.73620148545517, 9.799480783441254, 11.492689249859293, 13.66627853197891, 15.985266798609034), # 139
(15.200995818646616, 12.242337814104165, 15.565155833007877, 18.023104341071, 17.858816414252605, 9.801802637331082, 9.721045212234115, 10.432761745663793, 18.699258490016998, 9.756999708860134, 11.445694788035329, 13.612889480955465, 15.928347929180966), # 140
(15.122246216239494, 12.164745762534638, 15.514083652397689, 17.952050951036195, 17.794293176624855, 9.777512787931828, 9.667693352413432, 10.412135885885887, 18.661087705855824, 9.713459173466253, 11.39749216612783, 13.558080132038745, 15.869830787348244), # 141
(15.041598432692682, 12.08557170953184, 15.461498221027327, 17.879033722782097, 17.727939892492355, 9.752428708576069, 9.613120133711027, 10.39075189956038, 18.621600391355297, 9.66878383215929, 11.347994088055255, 13.50176773859027, 15.80966084465184), # 142
(14.958987009607215, 12.004706965755565, 15.407328598511267, 17.803957285218555, 17.659702339092952, 9.726500712362592, 9.557243707477623, 10.368526194322978, 18.580707804899063, 9.622898339838935, 11.297113257736068, 13.443869553971561, 15.747783572632711), # 143
(14.874346488584132, 11.922042841865615, 15.35150384446397, 17.72672626725544, 17.58952629366449, 9.699679112390184, 9.499982225063938, 10.34537517780939, 18.53832120487076, 9.575727351404868, 11.244762379088732, 13.384302831544138, 15.684144442831826), # 144
(14.787611411224459, 11.837470648521778, 15.29395301849992, 17.64724529780261, 17.51735753344482, 9.671914221757634, 9.441253837820689, 10.321215257655316, 18.494351849654016, 9.527195521756779, 11.190854156031712, 13.322984824669524, 15.618688926790139), # 145
(14.69871631912923, 11.750881696383855, 15.23460518023359, 17.565419005769925, 17.443141835671785, 9.643156353563725, 9.380976697098594, 10.295962841496468, 18.448710997632492, 9.477227505794348, 11.135301292483467, 13.259832786709236, 15.551362496048613), # 146
(14.607595753899481, 11.662167296111635, 15.173389389279437, 17.481152020067245, 17.36682497758323, 9.613355820907245, 9.319068954248365, 10.269534336968547, 18.401309907189823, 9.425747958417263, 11.078016492362465, 13.194763971024798, 15.482110622148213), # 147
(14.51418425713624, 11.571218758364918, 15.11023470525195, 17.394348969604433, 17.28835273641701, 9.582462936886982, 9.255448760620729, 10.241846151707264, 18.352059836709653, 9.372681534525205, 11.018912459587169, 13.127695630977726, 15.410878776629895), # 148
(14.418416370440541, 11.477927393803494, 15.045070187765598, 17.304914483291345, 17.207670889410966, 9.550428014601719, 9.190034267566393, 10.21281469334832, 18.30087204457561, 9.317952889017864, 10.957901898076038, 13.058545019929545, 15.337612431034628), # 149
(14.320226635413416, 11.382184513087163, 14.97782489643485, 17.212753190037848, 17.124725213802947, 9.517201367150248, 9.122743626436081, 10.182356369527422, 18.247657789171353, 9.261486676794918, 10.894897511747537, 12.987229391241772, 15.262257056903364), # 150
(14.219549593655895, 11.283881426875716, 14.908427890874176, 17.117769718753795, 17.0394614868308, 9.48273330763135, 9.05349498858051, 10.150387587880278, 18.19232832888052, 9.20320755275606, 10.829812004520129, 12.91366599827593, 15.184758125777073), # 151
(14.116319786769019, 11.182909445828951, 14.836808230698063, 17.019868698349054, 16.951825485732364, 9.446974149143815, 8.982206505350396, 10.116824756042595, 18.134794922086748, 9.143040171800969, 10.762558080312278, 12.837772094393538, 15.105061109196717), # 152
(14.010471756353809, 11.079159880606662, 14.762894975520963, 16.91895475773348, 16.8617629877455, 9.409874204786428, 8.908796328096455, 10.081584281650072, 18.07496882717368, 9.080909188829333, 10.693048443042448, 12.759464932956115, 15.02311147870325), # 153
(13.901940044011312, 10.972524041868644, 14.686617184957365, 16.81493252581694, 16.769219770108045, 9.371383787657978, 8.83318260816941, 10.044582572338422, 18.01276130252496, 9.016739258740834, 10.6211957966291, 12.678661767325185, 14.938854705837642), # 154
(13.790659191342543, 10.86289324027469, 14.607903918621735, 16.707706631509282, 16.674141610057855, 9.331453210857248, 8.75528349691997, 10.005736035743345, 17.948083606524232, 8.950455036435159, 10.5469128449907, 12.595279850862267, 14.852236262140847), # 155
(13.676563739948545, 10.750158786484597, 14.526684236128547, 16.597181703720377, 16.576474284832766, 9.29003278748303, 8.67501714569886, 9.964961079500554, 17.88084699755513, 8.88198117681199, 10.470112292045709, 12.50923643692888, 14.763201619153833), # 156
(13.559588231430352, 10.634211991158162, 14.442887197092272, 16.483262371360087, 16.476163571670632, 9.247072830634105, 8.592301705856794, 9.922174111245749, 17.8109627340013, 8.811242334771014, 10.39070684171259, 12.420448778886547, 14.671696248417557), # 157
(13.43642570352943, 10.512815617390064, 14.352465517024239, 16.36158524697224, 16.368625990567796, 9.199844057370798, 8.505192097670143, 9.87443451422887, 17.732991764878374, 8.73605864932406, 10.306072354570096, 12.32567921554981, 14.573674546947622), # 158
(13.288116180561124, 10.37351757527906, 14.232128073125379, 16.207158885819215, 16.22734435760693, 9.132641366412786, 8.40278297409429, 9.804984358975888, 17.61556907019986, 8.644105789377742, 10.20135048411419, 12.206452542629595, 14.445769764456351), # 159
(13.112769770827757, 10.215174111373285, 14.0794577243206, 16.017439518735948, 16.04955623642423, 9.043814332885832, 8.284038747090811, 9.712078541149223, 17.455365409011574, 8.534170173353209, 10.075067115497172, 12.060903507998123, 14.285557096008445), # 160
(12.911799698254727, 10.038817562544844, 13.896084549438555, 15.79423050676211, 15.837107623707803, 8.934439034826566, 8.149826602812377, 9.596880959597605, 17.254493580598233, 8.407184747707687, 9.928334978279473, 11.890381444033627, 14.094673280674375), # 161
(12.686619186767443, 9.84548026566583, 13.683638627307893, 15.539335210937388, 15.591844516145768, 8.80559155027162, 8.001013727411657, 9.460555513169764, 17.015066384244545, 8.264082458898416, 9.762266802021516, 11.696235683114327, 13.874755057524599), # 162
(12.438641460291295, 9.636194557608343, 13.443750036757264, 15.254556992301481, 15.315612910426239, 8.65834795725763, 7.838467307041322, 9.304266100714425, 16.73919661923523, 8.105796253382625, 9.577975316283736, 11.479815557618458, 13.627439165629584), # 163
(12.16927974275169, 9.411992775244478, 13.178048856615318, 14.941699211894072, 15.01025880323734, 8.493784333821234, 7.663054527854039, 9.129176621080324, 16.428997084855002, 7.933259077617543, 9.376573250626553, 11.242470399924246, 13.35436234405979), # 164
(11.879947258074031, 9.173907255446338, 12.888165165710705, 14.602565230754854, 14.677628191267182, 8.312976757999055, 7.475642576002479, 8.936450973116184, 16.086580580388564, 7.747403878060404, 9.1591733346104, 10.985549542409915, 13.057161331885686), # 165
(11.572057230183715, 8.922970335086019, 12.57572904287207, 14.238958409923503, 14.319567071203886, 8.117001307827735, 7.277098637639315, 8.727253055670738, 15.714059905120632, 7.549163601168441, 8.926888297795703, 10.710402317453703, 12.737472868177733), # 166
(11.24702288300614, 8.660214351035616, 12.242370566928068, 13.852682110439718, 13.937921439735565, 7.906934061343905, 7.0682898989172145, 8.502746767592717, 15.31354785833592, 7.339471193398886, 8.680830869742888, 10.418378057433825, 12.396933692006392), # 167
(10.906257440466712, 8.386671640167231, 11.889719816707347, 13.445539693343184, 13.534537293550335, 7.683851096584198, 6.850083545988848, 8.264096007730847, 14.887157239319139, 7.11925960120897, 8.422113780012385, 10.11082609472852, 12.037180542442131), # 168
(10.551174126490828, 8.103374539352963, 11.519406871038555, 13.019334519673588, 13.111260629336316, 7.4488284915852505, 6.623346765006885, 8.012464674933861, 14.437000847355009, 6.889461771055926, 8.151849758164623, 9.78909576171601, 11.659850158555415), # 169
(10.18318616500389, 7.811355385464907, 11.133061808750343, 12.575869950470615, 12.66993744378162, 7.2029423243836925, 6.388946742123995, 7.749016668050485, 13.96519148172823, 6.6510106493969845, 7.871151533760029, 9.454536390774527, 11.2665792794167), # 170
(9.8037067799313, 7.511646515375161, 10.73231470867136, 12.116949346773964, 12.21241373357437, 6.947268673016157, 6.147750663492849, 7.47491588592945, 13.47384194172352, 6.404839182689379, 7.581131836359027, 9.108497314282296, 10.859004644096458), # 171
(9.414149195198457, 7.205280265955825, 10.318795649630257, 11.644376069623315, 11.740535495402677, 6.682883615519281, 5.900625715266118, 7.191326227419487, 12.965065026625595, 6.151880317390344, 7.282903395522049, 8.752327864617548, 10.438762991665145), # 172
(9.015926634730764, 6.893288974078996, 9.894134710455681, 11.159953480058356, 11.256148725954663, 6.410863229929695, 5.64843908359647, 6.899411591369322, 12.440973535719161, 5.893066999957107, 6.97757894080952, 8.387377374158506, 10.007491061193234), # 173
(8.610452322453618, 6.576704976616772, 9.459961969976282, 10.665484939118773, 10.76109942191844, 6.132283594284034, 5.3920579546365754, 6.600335876627689, 11.903680268288936, 5.629332176846904, 6.66627120178187, 8.014995175283403, 9.566825591751181), # 174
(8.19913948229242, 6.256560610441251, 9.017907507020714, 10.162773807844262, 10.257233579982124, 5.848220786618931, 5.132349514539104, 6.295262982043313, 11.35529802361963, 5.361608794516964, 6.3500929079995245, 7.636530600370466, 9.118403322409455), # 175
(7.783401338172574, 5.933888212424531, 8.569601400417621, 9.653623447274505, 9.746397196833835, 5.55975088497102, 4.870180949456727, 5.985356806464928, 10.797939600995955, 5.090829799424521, 6.0301567890229135, 7.253332981797922, 8.663860992238513), # 176
(7.364651114019479, 5.6097201194387125, 8.116673728995655, 9.13983721844919, 9.230436269161691, 5.267949967376934, 4.606419445542112, 5.671781248741259, 10.233717799702626, 4.817928138026804, 5.7075755744124645, 6.866751651944002, 8.204835340308824), # 177
(6.944302033758534, 5.285088668355891, 7.660754571583465, 8.623218482408008, 8.711196793653805, 4.973894111873309, 4.341932188947932, 5.355700207721038, 9.664745419024355, 4.54383675678105, 5.383461993728603, 6.478135943186929, 7.742963105690853), # 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 = (
(9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), # 0
(15, 13, 17, 17, 10, 2, 8, 10, 5, 4, 6, 0, 0, 16, 11, 12, 8, 13, 6, 11, 9, 7, 4, 3, 1, 0), # 1
(26, 26, 22, 27, 19, 4, 13, 12, 8, 5, 10, 1, 0, 30, 18, 19, 14, 28, 10, 14, 15, 10, 5, 5, 2, 0), # 2
(40, 43, 31, 37, 27, 6, 17, 21, 10, 6, 12, 2, 0, 33, 26, 25, 20, 40, 13, 17, 17, 14, 7, 7, 4, 0), # 3
(58, 51, 40, 46, 36, 10, 26, 27, 15, 12, 12, 2, 0, 39, 39, 33, 23, 47, 22, 20, 21, 17, 7, 10, 6, 0), # 4
(78, 60, 51, 56, 47, 15, 30, 36, 17, 15, 13, 3, 0, 55, 46, 44, 28, 56, 32, 24, 25, 22, 11, 11, 8, 0), # 5
(89, 74, 64, 65, 55, 19, 33, 39, 19, 15, 14, 4, 0, 68, 56, 59, 34, 66, 41, 30, 30, 28, 14, 12, 8, 0), # 6
(110, 90, 82, 78, 66, 23, 35, 43, 27, 16, 16, 5, 0, 79, 66, 62, 44, 77, 54, 35, 34, 33, 15, 14, 10, 0), # 7
(123, 107, 97, 90, 71, 27, 46, 47, 33, 18, 20, 6, 0, 90, 78, 73, 51, 89, 65, 43, 36, 36, 20, 15, 11, 0), # 8
(136, 121, 112, 102, 84, 34, 55, 56, 42, 20, 22, 7, 0, 103, 92, 77, 59, 99, 75, 51, 39, 41, 27, 17, 11, 0), # 9
(151, 135, 126, 112, 91, 41, 62, 63, 47, 20, 23, 8, 0, 111, 102, 89, 71, 109, 82, 54, 41, 44, 29, 23, 12, 0), # 10
(169, 144, 139, 124, 101, 43, 72, 66, 57, 24, 26, 11, 0, 125, 118, 99, 81, 122, 99, 61, 45, 52, 34, 33, 13, 0), # 11
(185, 166, 152, 140, 112, 48, 80, 73, 61, 28, 28, 14, 0, 133, 135, 109, 89, 134, 104, 65, 46, 60, 37, 34, 15, 0), # 12
(202, 189, 161, 159, 127, 51, 92, 80, 68, 29, 31, 16, 0, 148, 145, 114, 102, 149, 111, 71, 51, 64, 46, 41, 18, 0), # 13
(217, 218, 175, 169, 135, 56, 96, 89, 75, 32, 32, 17, 0, 164, 159, 125, 114, 160, 118, 78, 54, 71, 50, 43, 19, 0), # 14
(241, 236, 182, 186, 150, 59, 106, 98, 83, 33, 35, 20, 0, 188, 174, 135, 127, 169, 127, 86, 56, 78, 52, 47, 21, 0), # 15
(267, 254, 194, 203, 161, 67, 110, 104, 94, 33, 38, 20, 0, 211, 186, 148, 132, 178, 136, 97, 57, 88, 54, 47, 21, 0), # 16
(277, 270, 208, 226, 173, 70, 121, 117, 103, 38, 40, 21, 0, 232, 204, 164, 142, 186, 145, 107, 62, 93, 56, 51, 22, 0), # 17
(297, 284, 222, 239, 187, 73, 126, 131, 112, 39, 41, 21, 0, 249, 215, 184, 148, 198, 158, 114, 64, 101, 60, 54, 22, 0), # 18
(318, 308, 238, 254, 195, 77, 133, 140, 122, 44, 41, 21, 0, 262, 233, 196, 156, 220, 166, 118, 71, 106, 66, 57, 24, 0), # 19
(340, 329, 254, 261, 205, 87, 142, 151, 129, 47, 43, 23, 0, 274, 250, 216, 168, 231, 174, 126, 76, 114, 75, 61, 24, 0), # 20
(354, 346, 273, 278, 221, 93, 149, 156, 134, 51, 46, 25, 0, 287, 271, 225, 184, 248, 179, 130, 80, 120, 79, 65, 26, 0), # 21
(374, 358, 288, 294, 235, 101, 153, 167, 139, 51, 49, 25, 0, 308, 284, 237, 195, 265, 189, 138, 83, 127, 83, 71, 28, 0), # 22
(392, 375, 301, 313, 246, 110, 161, 175, 147, 53, 52, 26, 0, 322, 310, 248, 204, 284, 202, 150, 91, 134, 90, 75, 30, 0), # 23
(400, 394, 318, 324, 262, 116, 166, 184, 155, 57, 52, 26, 0, 343, 327, 262, 215, 294, 216, 160, 96, 139, 95, 79, 30, 0), # 24
(417, 419, 332, 335, 271, 119, 177, 190, 158, 58, 55, 26, 0, 361, 347, 274, 223, 310, 226, 164, 108, 147, 96, 82, 31, 0), # 25
(434, 435, 349, 347, 287, 126, 186, 198, 168, 62, 56, 28, 0, 382, 368, 280, 239, 317, 239, 171, 113, 154, 103, 84, 33, 0), # 26
(453, 448, 360, 363, 299, 132, 196, 205, 175, 65, 57, 30, 0, 397, 388, 289, 252, 328, 244, 179, 115, 159, 113, 85, 38, 0), # 27
(471, 467, 369, 379, 315, 138, 200, 208, 180, 68, 58, 33, 0, 415, 405, 305, 259, 343, 253, 188, 120, 167, 116, 88, 40, 0), # 28
(491, 482, 383, 391, 332, 144, 208, 212, 184, 72, 61, 34, 0, 428, 428, 319, 268, 366, 258, 199, 128, 173, 120, 93, 42, 0), # 29
(507, 499, 405, 405, 352, 150, 211, 220, 188, 75, 64, 36, 0, 442, 449, 340, 278, 373, 268, 206, 132, 180, 129, 96, 42, 0), # 30
(528, 514, 424, 414, 361, 162, 222, 228, 195, 78, 68, 36, 0, 457, 471, 357, 283, 387, 274, 216, 137, 183, 136, 100, 42, 0), # 31
(543, 530, 435, 431, 369, 171, 227, 237, 201, 79, 70, 37, 0, 478, 485, 369, 291, 407, 280, 228, 144, 188, 141, 102, 44, 0), # 32
(558, 546, 444, 443, 380, 181, 233, 239, 207, 84, 72, 40, 0, 498, 498, 382, 300, 422, 286, 236, 147, 193, 144, 109, 45, 0), # 33
(575, 563, 453, 463, 398, 186, 238, 245, 214, 85, 75, 43, 0, 515, 512, 392, 316, 441, 293, 241, 153, 200, 150, 114, 45, 0), # 34
(598, 577, 471, 480, 412, 190, 247, 253, 224, 91, 78, 44, 0, 532, 535, 398, 329, 458, 304, 254, 158, 208, 155, 117, 46, 0), # 35
(620, 593, 489, 496, 421, 199, 255, 262, 232, 94, 82, 45, 0, 545, 550, 415, 341, 474, 316, 260, 160, 215, 164, 122, 47, 0), # 36
(639, 610, 504, 512, 430, 203, 260, 269, 242, 97, 87, 46, 0, 572, 564, 427, 348, 487, 321, 266, 164, 223, 169, 124, 48, 0), # 37
(661, 634, 520, 529, 442, 214, 261, 274, 250, 103, 90, 49, 0, 597, 574, 435, 362, 504, 329, 269, 166, 233, 175, 129, 54, 0), # 38
(686, 648, 533, 553, 459, 226, 269, 281, 261, 106, 93, 50, 0, 616, 591, 454, 368, 522, 335, 277, 167, 240, 181, 132, 54, 0), # 39
(703, 671, 547, 569, 469, 232, 273, 290, 267, 107, 96, 52, 0, 638, 602, 468, 380, 532, 344, 284, 170, 251, 191, 132, 55, 0), # 40
(721, 693, 563, 580, 482, 236, 278, 297, 274, 115, 98, 53, 0, 650, 621, 481, 390, 544, 351, 294, 179, 261, 196, 134, 56, 0), # 41
(740, 711, 579, 598, 494, 244, 288, 305, 281, 116, 102, 54, 0, 663, 646, 495, 397, 560, 366, 299, 182, 266, 202, 139, 59, 0), # 42
(759, 724, 597, 610, 509, 248, 294, 313, 291, 119, 107, 55, 0, 680, 661, 503, 410, 579, 374, 303, 185, 273, 203, 142, 60, 0), # 43
(780, 737, 607, 632, 524, 255, 302, 317, 302, 121, 107, 56, 0, 695, 679, 514, 422, 592, 378, 311, 190, 277, 208, 144, 62, 0), # 44
(804, 757, 626, 647, 542, 261, 308, 323, 314, 124, 110, 59, 0, 711, 692, 532, 437, 611, 388, 318, 191, 286, 216, 147, 64, 0), # 45
(826, 767, 644, 666, 562, 261, 316, 334, 320, 124, 114, 61, 0, 731, 709, 539, 449, 622, 398, 323, 195, 289, 220, 149, 67, 0), # 46
(845, 780, 666, 682, 579, 264, 321, 339, 325, 126, 117, 63, 0, 746, 725, 555, 454, 635, 412, 335, 198, 300, 226, 156, 68, 0), # 47
(865, 801, 678, 695, 594, 272, 329, 345, 331, 130, 120, 63, 0, 768, 740, 570, 462, 648, 420, 349, 200, 311, 233, 161, 68, 0), # 48
(892, 817, 696, 708, 608, 278, 332, 355, 339, 131, 121, 66, 0, 785, 751, 583, 470, 657, 429, 359, 207, 315, 239, 164, 69, 0), # 49
(910, 841, 710, 725, 626, 282, 338, 362, 343, 134, 122, 66, 0, 801, 766, 598, 476, 682, 438, 367, 213, 318, 245, 168, 70, 0), # 50
(921, 861, 727, 751, 640, 288, 343, 365, 355, 138, 122, 68, 0, 815, 784, 607, 487, 698, 449, 370, 218, 330, 247, 169, 72, 0), # 51
(940, 878, 741, 769, 652, 295, 347, 373, 363, 140, 126, 70, 0, 838, 800, 620, 498, 710, 454, 378, 224, 335, 253, 170, 74, 0), # 52
(954, 891, 761, 784, 666, 307, 358, 376, 371, 143, 129, 75, 0, 847, 809, 635, 514, 718, 467, 386, 228, 340, 259, 172, 75, 0), # 53
(981, 911, 778, 801, 680, 313, 366, 383, 379, 145, 130, 75, 0, 866, 828, 648, 523, 728, 471, 395, 231, 344, 263, 175, 77, 0), # 54
(1004, 936, 792, 812, 701, 320, 370, 389, 390, 149, 130, 75, 0, 888, 844, 655, 529, 744, 481, 404, 234, 352, 273, 178, 79, 0), # 55
(1020, 953, 809, 827, 714, 326, 377, 394, 396, 150, 133, 76, 0, 904, 860, 670, 531, 756, 493, 413, 240, 358, 278, 178, 82, 0), # 56
(1037, 969, 825, 845, 732, 332, 381, 396, 401, 151, 136, 77, 0, 921, 876, 682, 540, 770, 509, 420, 244, 366, 290, 180, 83, 0), # 57
(1056, 985, 838, 857, 740, 338, 390, 403, 405, 153, 140, 81, 0, 939, 883, 692, 554, 794, 520, 425, 250, 372, 294, 182, 85, 0), # 58
(1076, 1003, 855, 873, 753, 346, 397, 412, 408, 155, 142, 81, 0, 952, 892, 706, 565, 812, 529, 434, 254, 381, 297, 184, 85, 0), # 59
(1095, 1024, 879, 889, 770, 356, 403, 414, 418, 157, 144, 85, 0, 970, 905, 720, 572, 824, 536, 435, 258, 385, 302, 186, 88, 0), # 60
(1123, 1047, 894, 905, 785, 365, 410, 420, 428, 158, 144, 86, 0, 988, 922, 736, 583, 840, 546, 443, 264, 389, 310, 187, 89, 0), # 61
(1143, 1062, 903, 924, 794, 381, 419, 425, 438, 162, 144, 86, 0, 1008, 938, 748, 593, 860, 553, 447, 268, 393, 316, 193, 91, 0), # 62
(1153, 1075, 916, 947, 804, 389, 425, 430, 446, 163, 147, 86, 0, 1024, 950, 766, 603, 873, 558, 452, 273, 398, 321, 194, 92, 0), # 63
(1162, 1090, 934, 968, 820, 392, 437, 436, 451, 169, 149, 86, 0, 1048, 963, 781, 619, 889, 563, 458, 279, 406, 324, 198, 94, 0), # 64
(1181, 1105, 946, 980, 834, 400, 448, 442, 458, 175, 150, 87, 0, 1063, 978, 790, 627, 899, 570, 464, 281, 417, 326, 205, 94, 0), # 65
(1202, 1121, 964, 994, 847, 404, 460, 445, 462, 181, 151, 88, 0, 1078, 998, 802, 633, 914, 578, 468, 284, 420, 331, 211, 94, 0), # 66
(1217, 1136, 980, 1008, 859, 406, 470, 450, 466, 184, 157, 92, 0, 1098, 1018, 819, 641, 928, 584, 477, 291, 429, 336, 214, 95, 0), # 67
(1245, 1160, 994, 1025, 876, 415, 472, 455, 469, 187, 162, 93, 0, 1109, 1036, 837, 647, 939, 595, 483, 298, 435, 339, 216, 95, 0), # 68
(1252, 1178, 1005, 1037, 886, 416, 476, 460, 477, 189, 165, 95, 0, 1123, 1051, 846, 661, 959, 600, 492, 303, 440, 343, 219, 101, 0), # 69
(1268, 1191, 1019, 1068, 901, 421, 480, 467, 482, 189, 170, 95, 0, 1141, 1068, 855, 675, 969, 603, 495, 307, 444, 354, 224, 101, 0), # 70
(1284, 1203, 1032, 1079, 910, 424, 483, 475, 488, 192, 173, 98, 0, 1165, 1092, 871, 679, 986, 610, 503, 307, 451, 360, 228, 101, 0), # 71
(1315, 1217, 1048, 1090, 927, 430, 490, 478, 492, 193, 174, 101, 0, 1182, 1107, 886, 693, 1003, 613, 509, 313, 458, 366, 232, 104, 0), # 72
(1328, 1233, 1059, 1104, 941, 434, 499, 482, 499, 198, 175, 102, 0, 1196, 1114, 903, 705, 1017, 617, 514, 324, 464, 370, 237, 106, 0), # 73
(1351, 1249, 1072, 1116, 963, 442, 509, 486, 505, 200, 177, 102, 0, 1217, 1127, 924, 712, 1030, 627, 518, 328, 473, 379, 241, 108, 0), # 74
(1372, 1269, 1084, 1141, 980, 446, 516, 492, 511, 201, 178, 102, 0, 1232, 1153, 941, 722, 1049, 635, 523, 333, 475, 383, 243, 108, 0), # 75
(1388, 1282, 1107, 1156, 990, 450, 521, 501, 519, 202, 181, 103, 0, 1244, 1170, 952, 727, 1055, 641, 526, 339, 485, 387, 245, 109, 0), # 76
(1400, 1292, 1124, 1172, 999, 455, 528, 509, 527, 205, 183, 104, 0, 1254, 1183, 968, 734, 1071, 644, 531, 342, 489, 391, 249, 110, 0), # 77
(1420, 1306, 1141, 1191, 1017, 464, 534, 512, 536, 207, 186, 106, 0, 1273, 1201, 982, 745, 1095, 652, 538, 348, 496, 396, 253, 111, 0), # 78
(1444, 1319, 1153, 1205, 1026, 470, 542, 516, 541, 211, 189, 107, 0, 1293, 1213, 990, 752, 1115, 656, 545, 355, 500, 398, 256, 114, 0), # 79
(1471, 1333, 1167, 1218, 1037, 474, 549, 520, 548, 215, 191, 107, 0, 1305, 1226, 1001, 757, 1131, 662, 555, 361, 508, 404, 259, 116, 0), # 80
(1490, 1347, 1183, 1235, 1054, 482, 552, 528, 556, 216, 195, 109, 0, 1334, 1242, 1018, 772, 1147, 674, 558, 366, 518, 405, 268, 116, 0), # 81
(1510, 1362, 1195, 1256, 1069, 486, 562, 535, 567, 220, 196, 111, 0, 1350, 1258, 1025, 776, 1160, 681, 563, 371, 524, 408, 273, 119, 0), # 82
(1522, 1374, 1205, 1266, 1075, 497, 566, 542, 577, 223, 198, 111, 0, 1361, 1272, 1035, 785, 1178, 688, 569, 372, 529, 412, 275, 119, 0), # 83
(1543, 1389, 1219, 1280, 1082, 504, 570, 547, 584, 224, 201, 112, 0, 1381, 1284, 1044, 795, 1195, 695, 576, 377, 537, 420, 279, 120, 0), # 84
(1559, 1399, 1237, 1298, 1091, 506, 575, 554, 590, 226, 202, 114, 0, 1395, 1294, 1054, 804, 1211, 699, 581, 379, 544, 425, 280, 121, 0), # 85
(1576, 1416, 1261, 1316, 1108, 512, 580, 560, 596, 228, 204, 114, 0, 1410, 1314, 1064, 808, 1225, 706, 586, 385, 552, 430, 284, 123, 0), # 86
(1596, 1429, 1280, 1334, 1121, 517, 585, 563, 604, 231, 206, 114, 0, 1427, 1333, 1074, 814, 1235, 713, 592, 392, 557, 432, 286, 125, 0), # 87
(1608, 1443, 1299, 1347, 1137, 524, 593, 564, 613, 235, 206, 115, 0, 1446, 1344, 1085, 818, 1248, 722, 595, 396, 559, 436, 287, 126, 0), # 88
(1630, 1453, 1318, 1372, 1153, 527, 600, 570, 623, 238, 206, 115, 0, 1467, 1362, 1095, 829, 1265, 727, 599, 398, 570, 441, 290, 128, 0), # 89
(1656, 1465, 1332, 1387, 1167, 530, 606, 577, 635, 242, 207, 115, 0, 1485, 1381, 1106, 836, 1279, 734, 602, 401, 579, 445, 294, 131, 0), # 90
(1673, 1480, 1346, 1409, 1182, 535, 609, 582, 647, 243, 209, 115, 0, 1502, 1392, 1115, 844, 1297, 739, 608, 405, 584, 449, 297, 132, 0), # 91
(1693, 1496, 1352, 1427, 1188, 546, 614, 587, 654, 248, 213, 115, 0, 1523, 1408, 1124, 848, 1308, 746, 613, 407, 593, 458, 298, 135, 0), # 92
(1709, 1511, 1377, 1447, 1197, 552, 626, 587, 661, 252, 213, 116, 0, 1542, 1419, 1132, 863, 1314, 752, 622, 413, 600, 463, 301, 137, 0), # 93
(1734, 1523, 1393, 1462, 1223, 557, 631, 590, 672, 255, 217, 117, 0, 1565, 1429, 1143, 871, 1322, 766, 628, 416, 606, 468, 304, 141, 0), # 94
(1753, 1538, 1405, 1480, 1238, 561, 636, 596, 680, 257, 218, 119, 0, 1585, 1438, 1148, 880, 1331, 775, 633, 419, 611, 471, 311, 141, 0), # 95
(1766, 1548, 1415, 1492, 1253, 568, 638, 604, 684, 258, 224, 121, 0, 1596, 1448, 1158, 888, 1343, 783, 636, 421, 619, 476, 314, 144, 0), # 96
(1790, 1560, 1428, 1509, 1264, 572, 649, 610, 692, 263, 224, 123, 0, 1610, 1460, 1165, 896, 1359, 787, 644, 423, 630, 484, 315, 145, 0), # 97
(1807, 1573, 1443, 1529, 1284, 580, 653, 611, 700, 265, 226, 127, 0, 1628, 1478, 1177, 901, 1378, 794, 649, 428, 637, 489, 320, 145, 0), # 98
(1821, 1586, 1455, 1544, 1297, 594, 657, 614, 705, 267, 228, 128, 0, 1646, 1491, 1188, 907, 1391, 795, 658, 434, 644, 491, 326, 148, 0), # 99
(1841, 1593, 1469, 1557, 1311, 607, 663, 617, 712, 271, 232, 128, 0, 1661, 1509, 1198, 911, 1405, 802, 665, 445, 648, 495, 326, 150, 0), # 100
(1858, 1608, 1486, 1571, 1318, 610, 669, 622, 722, 271, 235, 129, 0, 1674, 1521, 1211, 922, 1423, 808, 672, 448, 653, 499, 327, 151, 0), # 101
(1878, 1626, 1496, 1586, 1332, 617, 675, 625, 723, 272, 236, 130, 0, 1693, 1537, 1222, 936, 1439, 820, 678, 455, 659, 504, 329, 153, 0), # 102
(1891, 1637, 1516, 1598, 1346, 622, 678, 633, 727, 276, 238, 130, 0, 1706, 1555, 1233, 949, 1451, 827, 682, 460, 669, 507, 333, 155, 0), # 103
(1904, 1650, 1527, 1615, 1355, 629, 683, 636, 732, 280, 238, 131, 0, 1722, 1568, 1244, 957, 1463, 836, 686, 465, 675, 511, 336, 155, 0), # 104
(1917, 1664, 1536, 1633, 1366, 630, 689, 644, 739, 281, 239, 133, 0, 1739, 1581, 1248, 963, 1477, 840, 694, 469, 686, 520, 338, 155, 0), # 105
(1928, 1682, 1544, 1649, 1376, 636, 693, 649, 741, 284, 239, 135, 0, 1757, 1592, 1255, 969, 1491, 847, 701, 473, 697, 528, 340, 157, 0), # 106
(1937, 1693, 1560, 1661, 1387, 645, 698, 652, 744, 288, 240, 135, 0, 1776, 1604, 1269, 975, 1499, 854, 709, 480, 702, 530, 343, 158, 0), # 107
(1949, 1707, 1578, 1678, 1405, 650, 706, 655, 753, 289, 242, 138, 0, 1803, 1619, 1280, 982, 1509, 861, 710, 485, 710, 538, 350, 159, 0), # 108
(1969, 1727, 1599, 1697, 1421, 655, 711, 663, 766, 294, 245, 140, 0, 1823, 1634, 1293, 988, 1530, 866, 716, 486, 715, 541, 352, 159, 0), # 109
(1990, 1746, 1615, 1704, 1433, 661, 715, 668, 779, 297, 248, 140, 0, 1837, 1643, 1301, 998, 1543, 869, 722, 489, 720, 546, 357, 161, 0), # 110
(2004, 1760, 1630, 1723, 1447, 664, 720, 672, 786, 302, 252, 142, 0, 1854, 1659, 1314, 1004, 1555, 875, 728, 494, 722, 551, 360, 162, 0), # 111
(2019, 1773, 1640, 1734, 1456, 670, 723, 678, 794, 304, 253, 144, 0, 1867, 1678, 1328, 1008, 1564, 877, 733, 495, 727, 562, 362, 164, 0), # 112
(2040, 1788, 1657, 1752, 1462, 676, 725, 684, 802, 308, 256, 146, 0, 1879, 1691, 1340, 1019, 1576, 890, 740, 499, 737, 565, 366, 165, 0), # 113
(2055, 1800, 1667, 1763, 1478, 681, 733, 685, 808, 309, 259, 147, 0, 1894, 1706, 1351, 1032, 1592, 900, 747, 508, 740, 569, 370, 166, 0), # 114
(2072, 1819, 1678, 1774, 1494, 689, 738, 693, 812, 311, 262, 149, 0, 1910, 1724, 1367, 1036, 1604, 901, 751, 515, 747, 574, 372, 166, 0), # 115
(2091, 1831, 1686, 1786, 1508, 695, 744, 696, 817, 316, 265, 150, 0, 1929, 1735, 1377, 1043, 1618, 907, 760, 518, 757, 576, 374, 166, 0), # 116
(2111, 1844, 1698, 1804, 1523, 701, 753, 701, 824, 316, 267, 153, 0, 1955, 1756, 1389, 1048, 1628, 915, 763, 525, 765, 583, 378, 166, 0), # 117
(2126, 1854, 1708, 1821, 1536, 706, 760, 705, 827, 318, 267, 154, 0, 1964, 1770, 1399, 1052, 1640, 922, 769, 527, 772, 587, 380, 166, 0), # 118
(2143, 1868, 1719, 1837, 1546, 710, 763, 710, 838, 321, 267, 156, 0, 1978, 1785, 1403, 1062, 1649, 928, 775, 528, 778, 596, 381, 168, 0), # 119
(2160, 1872, 1736, 1856, 1556, 719, 768, 713, 848, 324, 268, 156, 0, 2003, 1798, 1412, 1071, 1661, 936, 778, 532, 782, 605, 385, 169, 0), # 120
(2179, 1885, 1748, 1868, 1576, 726, 771, 714, 854, 329, 270, 157, 0, 2013, 1813, 1425, 1078, 1674, 941, 784, 536, 785, 609, 385, 171, 0), # 121
(2195, 1898, 1760, 1884, 1588, 730, 774, 718, 862, 335, 272, 158, 0, 2023, 1823, 1432, 1082, 1689, 950, 787, 538, 790, 615, 387, 173, 0), # 122
(2214, 1907, 1770, 1897, 1600, 735, 776, 721, 868, 337, 276, 159, 0, 2033, 1836, 1439, 1090, 1711, 951, 790, 544, 793, 618, 389, 173, 0), # 123
(2235, 1925, 1785, 1911, 1615, 739, 780, 727, 874, 338, 278, 159, 0, 2045, 1847, 1449, 1099, 1731, 954, 792, 550, 804, 625, 391, 173, 0), # 124
(2245, 1943, 1798, 1928, 1631, 742, 786, 729, 885, 339, 279, 160, 0, 2059, 1862, 1459, 1109, 1752, 962, 800, 556, 811, 633, 395, 177, 0), # 125
(2258, 1951, 1809, 1938, 1640, 749, 789, 734, 894, 342, 283, 162, 0, 2071, 1872, 1467, 1121, 1761, 969, 806, 562, 817, 638, 397, 177, 0), # 126
(2274, 1958, 1818, 1955, 1652, 752, 799, 743, 899, 343, 284, 168, 0, 2081, 1889, 1476, 1129, 1774, 974, 815, 566, 821, 643, 402, 178, 0), # 127
(2294, 1967, 1830, 1968, 1664, 759, 804, 746, 904, 347, 288, 169, 0, 2100, 1906, 1489, 1134, 1785, 984, 817, 569, 832, 653, 403, 180, 0), # 128
(2305, 1985, 1845, 1982, 1677, 764, 812, 753, 909, 350, 289, 170, 0, 2117, 1926, 1498, 1143, 1800, 995, 824, 574, 835, 656, 408, 181, 0), # 129
(2324, 2003, 1858, 1994, 1688, 770, 817, 758, 917, 353, 291, 171, 0, 2133, 1939, 1505, 1152, 1811, 1006, 830, 581, 842, 657, 410, 183, 0), # 130
(2337, 2016, 1876, 2005, 1699, 776, 824, 762, 925, 356, 291, 171, 0, 2154, 1954, 1509, 1161, 1830, 1009, 833, 586, 845, 663, 411, 185, 0), # 131
(2350, 2023, 1884, 2021, 1714, 780, 829, 772, 935, 360, 293, 172, 0, 2161, 1967, 1523, 1166, 1836, 1013, 836, 589, 849, 668, 415, 187, 0), # 132
(2371, 2035, 1901, 2036, 1724, 785, 834, 778, 941, 362, 293, 175, 0, 2178, 1976, 1536, 1176, 1845, 1016, 841, 592, 853, 670, 415, 188, 0), # 133
(2388, 2051, 1912, 2055, 1735, 793, 837, 780, 950, 365, 296, 177, 0, 2188, 1988, 1544, 1179, 1856, 1022, 847, 594, 863, 676, 415, 188, 0), # 134
(2405, 2057, 1929, 2065, 1744, 799, 840, 787, 957, 367, 298, 177, 0, 2197, 2000, 1552, 1186, 1866, 1032, 849, 598, 868, 680, 416, 190, 0), # 135
(2427, 2063, 1936, 2087, 1758, 809, 843, 793, 958, 369, 301, 177, 0, 2213, 2005, 1560, 1191, 1874, 1042, 852, 603, 871, 691, 417, 190, 0), # 136
(2437, 2072, 1949, 2097, 1771, 814, 853, 800, 963, 371, 307, 179, 0, 2233, 2022, 1571, 1193, 1892, 1048, 859, 608, 875, 693, 419, 191, 0), # 137
(2449, 2081, 1963, 2120, 1785, 822, 860, 803, 970, 376, 308, 179, 0, 2248, 2035, 1581, 1200, 1899, 1051, 868, 612, 879, 693, 422, 193, 0), # 138
(2471, 2093, 1973, 2128, 1796, 829, 862, 803, 976, 377, 309, 179, 0, 2265, 2044, 1586, 1208, 1911, 1055, 871, 615, 886, 697, 426, 194, 0), # 139
(2490, 2104, 1983, 2138, 1804, 837, 866, 809, 981, 381, 310, 179, 0, 2283, 2059, 1592, 1214, 1919, 1057, 874, 617, 897, 701, 430, 195, 0), # 140
(2510, 2116, 1997, 2150, 1814, 842, 872, 811, 987, 382, 311, 181, 0, 2298, 2078, 1602, 1223, 1936, 1062, 879, 624, 901, 704, 431, 196, 0), # 141
(2521, 2129, 2010, 2159, 1824, 847, 878, 816, 994, 384, 313, 181, 0, 2316, 2092, 1609, 1232, 1952, 1071, 886, 627, 908, 706, 434, 197, 0), # 142
(2533, 2139, 2022, 2169, 1840, 851, 883, 819, 1003, 386, 316, 184, 0, 2333, 2105, 1621, 1242, 1967, 1074, 892, 636, 914, 714, 435, 197, 0), # 143
(2548, 2150, 2034, 2179, 1851, 855, 890, 826, 1008, 387, 317, 184, 0, 2351, 2118, 1629, 1245, 1988, 1077, 898, 644, 915, 719, 439, 199, 0), # 144
(2563, 2164, 2046, 2187, 1858, 857, 891, 834, 1013, 388, 321, 185, 0, 2365, 2133, 1637, 1249, 2001, 1086, 904, 652, 924, 722, 441, 199, 0), # 145
(2579, 2171, 2060, 2196, 1870, 867, 898, 834, 1016, 391, 322, 185, 0, 2387, 2140, 1641, 1257, 2015, 1091, 908, 657, 932, 729, 447, 201, 0), # 146
(2593, 2179, 2076, 2214, 1878, 871, 902, 836, 1024, 392, 324, 187, 0, 2402, 2152, 1649, 1267, 2024, 1095, 914, 662, 941, 736, 450, 201, 0), # 147
(2607, 2187, 2095, 2227, 1888, 879, 909, 842, 1031, 394, 328, 187, 0, 2419, 2159, 1658, 1275, 2038, 1103, 917, 667, 946, 739, 452, 203, 0), # 148
(2620, 2197, 2100, 2246, 1903, 887, 912, 847, 1041, 397, 331, 187, 0, 2429, 2172, 1665, 1283, 2051, 1108, 917, 671, 948, 741, 457, 204, 0), # 149
(2637, 2207, 2107, 2256, 1917, 893, 917, 854, 1046, 400, 335, 188, 0, 2442, 2184, 1670, 1292, 2063, 1115, 921, 676, 952, 743, 460, 204, 0), # 150
(2654, 2216, 2124, 2273, 1934, 905, 919, 858, 1051, 403, 337, 190, 0, 2458, 2201, 1677, 1299, 2081, 1116, 923, 680, 956, 747, 463, 205, 0), # 151
(2668, 2223, 2130, 2284, 1946, 909, 923, 865, 1058, 404, 337, 191, 0, 2471, 2214, 1685, 1305, 2097, 1124, 926, 682, 961, 753, 466, 206, 0), # 152
(2683, 2232, 2145, 2292, 1958, 911, 925, 868, 1064, 404, 340, 194, 0, 2488, 2231, 1691, 1310, 2108, 1134, 932, 687, 969, 756, 468, 206, 0), # 153
(2692, 2244, 2153, 2309, 1964, 915, 928, 872, 1066, 407, 340, 195, 0, 2501, 2246, 1697, 1319, 2121, 1138, 937, 689, 972, 761, 470, 206, 0), # 154
(2711, 2255, 2170, 2319, 1970, 922, 935, 877, 1072, 408, 343, 197, 0, 2511, 2262, 1705, 1329, 2136, 1140, 940, 690, 978, 763, 471, 207, 0), # 155
(2719, 2262, 2181, 2332, 1982, 926, 941, 879, 1081, 410, 343, 198, 0, 2523, 2279, 1710, 1335, 2144, 1145, 942, 695, 984, 767, 472, 209, 0), # 156
(2736, 2276, 2195, 2344, 1993, 930, 946, 879, 1089, 414, 347, 200, 0, 2538, 2292, 1718, 1345, 2159, 1148, 948, 696, 995, 773, 475, 209, 0), # 157
(2748, 2285, 2212, 2354, 2000, 933, 951, 882, 1096, 414, 350, 202, 0, 2554, 2301, 1725, 1354, 2167, 1152, 949, 703, 998, 776, 477, 209, 0), # 158
(2758, 2294, 2227, 2375, 2014, 940, 953, 888, 1100, 416, 351, 203, 0, 2565, 2320, 1735, 1363, 2186, 1155, 952, 704, 1006, 777, 480, 209, 0), # 159
(2768, 2306, 2238, 2386, 2027, 944, 958, 893, 1109, 419, 351, 203, 0, 2578, 2330, 1744, 1366, 2198, 1160, 955, 710, 1008, 783, 481, 210, 0), # 160
(2781, 2323, 2254, 2403, 2031, 949, 962, 899, 1115, 421, 352, 203, 0, 2589, 2341, 1749, 1376, 2213, 1167, 965, 712, 1011, 789, 487, 212, 0), # 161
(2791, 2330, 2265, 2409, 2039, 958, 966, 907, 1118, 422, 355, 208, 0, 2604, 2351, 1757, 1381, 2225, 1172, 969, 714, 1011, 790, 488, 212, 0), # 162
(2811, 2342, 2271, 2420, 2050, 964, 972, 917, 1130, 427, 359, 210, 0, 2625, 2358, 1767, 1391, 2233, 1176, 976, 718, 1015, 793, 491, 213, 0), # 163
(2824, 2348, 2280, 2427, 2065, 970, 974, 923, 1135, 430, 359, 211, 0, 2636, 2366, 1778, 1402, 2246, 1184, 978, 723, 1020, 794, 493, 213, 0), # 164
(2840, 2359, 2294, 2438, 2078, 972, 978, 925, 1140, 432, 360, 211, 0, 2645, 2377, 1782, 1412, 2259, 1187, 982, 727, 1024, 796, 496, 214, 0), # 165
(2858, 2368, 2306, 2445, 2093, 976, 983, 929, 1148, 432, 361, 212, 0, 2654, 2385, 1791, 1416, 2269, 1191, 983, 730, 1038, 802, 497, 214, 0), # 166
(2872, 2371, 2314, 2455, 2100, 982, 985, 932, 1152, 433, 361, 213, 0, 2669, 2388, 1799, 1429, 2276, 1194, 990, 736, 1046, 804, 498, 215, 0), # 167
(2886, 2379, 2321, 2467, 2107, 990, 986, 933, 1154, 433, 364, 216, 0, 2686, 2396, 1800, 1435, 2287, 1198, 992, 736, 1049, 804, 500, 215, 0), # 168
(2898, 2390, 2328, 2477, 2120, 992, 988, 936, 1160, 436, 365, 216, 0, 2697, 2407, 1814, 1439, 2295, 1202, 993, 740, 1054, 809, 500, 216, 0), # 169
(2904, 2401, 2336, 2488, 2132, 998, 990, 937, 1166, 436, 366, 216, 0, 2709, 2416, 1819, 1445, 2306, 1208, 995, 744, 1057, 811, 503, 216, 0), # 170
(2910, 2407, 2348, 2498, 2142, 1003, 991, 938, 1169, 437, 367, 217, 0, 2721, 2427, 1821, 1448, 2310, 1209, 997, 747, 1060, 814, 504, 216, 0), # 171
(2920, 2413, 2360, 2513, 2151, 1007, 996, 941, 1170, 440, 369, 217, 0, 2734, 2433, 1825, 1453, 2321, 1215, 998, 750, 1062, 818, 505, 216, 0), # 172
(2929, 2419, 2369, 2518, 2161, 1009, 999, 944, 1179, 441, 371, 217, 0, 2747, 2441, 1829, 1455, 2329, 1222, 999, 752, 1064, 825, 505, 218, 0), # 173
(2938, 2424, 2376, 2529, 2171, 1013, 1001, 946, 1182, 443, 371, 218, 0, 2758, 2446, 1835, 1456, 2335, 1230, 1002, 752, 1070, 829, 505, 218, 0), # 174
(2949, 2428, 2381, 2541, 2182, 1013, 1005, 948, 1187, 443, 371, 218, 0, 2767, 2450, 1840, 1460, 2341, 1234, 1004, 755, 1072, 831, 505, 218, 0), # 175
(2955, 2435, 2389, 2552, 2185, 1018, 1007, 952, 1189, 445, 373, 218, 0, 2782, 2454, 1845, 1462, 2348, 1235, 1008, 759, 1074, 833, 509, 218, 0), # 176
(2961, 2438, 2396, 2558, 2188, 1021, 1008, 952, 1192, 447, 373, 219, 0, 2786, 2459, 1849, 1470, 2358, 1239, 1008, 762, 1078, 835, 510, 218, 0), # 177
(2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0), # 178
(2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0), # 179
)
passenger_arriving_rate = (
(9.037558041069182, 9.116726123493724, 7.81692484441876, 8.389801494715634, 6.665622729131535, 3.295587678639206, 3.7314320538365235, 3.4898821297345672, 3.654059437300804, 1.781106756985067, 1.261579549165681, 0.7346872617459261, 0.0, 9.150984382641052, 8.081559879205185, 6.307897745828405, 5.3433202709552, 7.308118874601608, 4.885834981628395, 3.7314320538365235, 2.3539911990280045, 3.3328113645657673, 2.7966004982385453, 1.5633849688837522, 0.828793283953975, 0.0), # 0
(9.637788873635953, 9.718600145338852, 8.333019886995228, 8.943944741923431, 7.106988404969084, 3.5132827632446837, 3.9775220471373247, 3.7196352921792815, 3.8953471957997454, 1.8985413115247178, 1.3449288407868398, 0.7831824991221532, 0.0, 9.755624965391739, 8.615007490343684, 6.724644203934198, 5.695623934574153, 7.790694391599491, 5.207489409050994, 3.9775220471373247, 2.509487688031917, 3.553494202484542, 2.9813149139744777, 1.6666039773990458, 0.883509104121714, 0.0), # 1
(10.236101416163518, 10.318085531970116, 8.847063428321121, 9.495883401297473, 7.546755568499692, 3.7301093702380674, 4.222636657164634, 3.948468935928315, 4.135672084126529, 2.015511198759246, 1.4279469446328943, 0.8314848978079584, 0.0, 10.357856690777442, 9.14633387588754, 7.13973472316447, 6.046533596277737, 8.271344168253059, 5.527856510299641, 4.222636657164634, 2.6643638358843336, 3.773377784249846, 3.1652944670991583, 1.7694126856642243, 0.938007775633647, 0.0), # 2
(10.830164027663812, 10.912803828195138, 9.357016303979782, 10.0434281501683, 7.983194011202283, 3.9452076537143688, 4.46580327748316, 4.175475868120881, 4.374081096552656, 2.1315522142917818, 1.5103045235482149, 0.8794028527395692, 0.0, 10.955291051257605, 9.67343138013526, 7.551522617741075, 6.3946566428753435, 8.748162193105312, 5.845666215369232, 4.46580327748316, 2.818005466938835, 3.9915970056011414, 3.3478093833894342, 1.8714032607959565, 0.9920730752904672, 0.0), # 3
(11.417645067148767, 11.500376578821527, 9.860839349554556, 10.584389665866468, 8.41457352455579, 4.1577177677686015, 4.706049301657613, 4.399748895896186, 4.609621227349624, 2.246200153725456, 1.5916722403771728, 0.9267447588532147, 0.0, 11.54553953929167, 10.19419234738536, 7.958361201885864, 6.738600461176366, 9.219242454699248, 6.159648454254661, 4.706049301657613, 2.969798405549001, 4.207286762277895, 3.528129888622157, 1.9721678699109113, 1.0454887798928663, 0.0), # 4
(11.996212893630318, 12.07842532865692, 10.356493400628777, 11.11657862572253, 8.839163900039136, 4.366779866495776, 4.942402123252702, 4.620380826393444, 4.841339470788935, 2.3589908126633987, 1.67172075796414, 0.9733190110851223, 0.0, 12.126213647339089, 10.706509121936344, 8.358603789820698, 7.076972437990195, 9.68267894157787, 6.468533156950822, 4.942402123252702, 3.119128476068411, 4.419581950019568, 3.705526208574178, 2.071298680125756, 1.0980386662415385, 0.0), # 5
(12.5635358661204, 12.644571622508925, 10.8419392927858, 11.63780570706703, 9.255234929131252, 4.571534103990907, 5.173889135833137, 4.836464466751867, 5.068282821142089, 2.469459986708742, 1.750120739153485, 1.0189340043715214, 0.0, 12.694924867859292, 11.208274048086732, 8.750603695767424, 7.408379960126224, 10.136565642284179, 6.771050253452613, 5.173889135833137, 3.265381502850648, 4.627617464565626, 3.8792685690223445, 2.16838785855716, 1.1495065111371752, 0.0), # 6
(13.117282343630944, 13.196437005185167, 11.315137861608953, 12.145881587230525, 9.661056403311065, 4.771120634349007, 5.399537732963626, 5.047092624110664, 5.289498272680586, 2.5771434714646144, 1.8265428467895808, 1.0633981336486396, 0.0, 13.249284693311735, 11.697379470135033, 9.132714233947903, 7.7314304143938415, 10.578996545361171, 7.06592967375493, 5.399537732963626, 3.4079433102492906, 4.830528201655532, 4.048627195743509, 2.2630275723217905, 1.1996760913804698, 0.0), # 7
(13.655120685173882, 13.731643021493262, 11.774049942681595, 12.638616943543553, 10.054898114057503, 4.964679611665085, 5.618375308208878, 5.251358105609044, 5.504032819675924, 2.681577062534149, 1.9006577437167966, 1.1065197938527056, 0.0, 13.786904616155851, 12.171717732379758, 9.503288718583983, 8.044731187602444, 11.008065639351848, 7.351901347852662, 5.618375308208878, 3.5461997226179176, 5.027449057028751, 4.212872314514518, 2.3548099885363194, 1.248331183772115, 0.0), # 8
(14.174719249761154, 14.247811216240837, 12.216636371587056, 13.11382245333668, 10.43502985284949, 5.151351190034158, 5.829429255133608, 5.4483537183862225, 5.710933456399605, 2.782296555520474, 1.9721360927795035, 1.1481073799199473, 0.0, 14.305396128851092, 12.629181179119417, 9.860680463897518, 8.34688966656142, 11.42186691279921, 7.627695205740712, 5.829429255133608, 3.679536564310113, 5.217514926424745, 4.371274151112227, 2.4433272743174115, 1.2952555651128035, 0.0), # 9
(14.673746396404677, 14.7425631342355, 12.640857983908687, 13.569308793940438, 10.799721411165962, 5.330275523551238, 6.031726967302519, 5.637172269581408, 5.909247177123128, 2.878837746026722, 2.0406485568220725, 1.187969286786593, 0.0, 14.802370723856898, 13.06766215465252, 10.20324278411036, 8.636513238080164, 11.818494354246257, 7.892041177413972, 6.031726967302519, 3.8073396596794558, 5.399860705582981, 4.52310293131348, 2.5281715967817378, 1.3402330122032275, 0.0), # 10
(15.149870484116411, 15.213520320284891, 13.044675615229824, 14.002886642685386, 11.14724258048584, 5.500592766311337, 6.224295838280325, 5.816906566333811, 6.098020976117995, 2.970736429656024, 2.105865798688875, 1.2259139093888718, 0.0, 15.2754398936327, 13.485053003277587, 10.529328993444373, 8.912209288968072, 12.19604195223599, 8.143669192867335, 6.224295838280325, 3.9289948330795266, 5.57362129024292, 4.66762888089513, 2.6089351230459648, 1.3830473018440812, 0.0), # 11
(15.600759871908263, 15.6583043191966, 13.42605010113381, 14.412366676902078, 11.475863152288053, 5.6614430724094635, 6.406163261631731, 5.986649415782641, 6.276301847655707, 3.0575284020115086, 2.1674584812242808, 1.2617496426630104, 0.0, 15.722215130637963, 13.879246069293112, 10.837292406121403, 9.172585206034523, 12.552603695311413, 8.381309182095698, 6.406163261631731, 4.043887908863902, 5.737931576144026, 4.804122225634027, 2.6852100202267626, 1.4234822108360548, 0.0), # 12
(16.02408291879218, 16.074536675778273, 13.782942277203993, 14.795559573921057, 11.783852918051522, 5.8119665959406355, 6.576356630921451, 6.145493625067111, 6.443136786007759, 3.138749458696308, 2.225097267272661, 1.2952848815452382, 0.0, 16.140307927332124, 14.248133696997618, 11.125486336363304, 9.416248376088921, 12.886273572015519, 8.603691075093955, 6.576356630921451, 4.151404711386168, 5.891926459025761, 4.93185319130702, 2.756588455440799, 1.4613215159798432, 0.0), # 13
(16.41750798378009, 16.45983893483752, 14.113312979023721, 15.150276011072872, 12.069481669255186, 5.9513034909998614, 6.733903339714195, 6.292532001326435, 6.597572785445653, 3.2139353953135514, 2.2784528196783858, 1.3263280209717843, 0.0, 16.527329776174614, 14.589608230689624, 11.392264098391927, 9.641806185940652, 13.195145570891306, 8.80954480185701, 6.733903339714195, 4.250931064999901, 6.034740834627593, 5.050092003690958, 2.8226625958047444, 1.4963489940761385, 0.0), # 14
(16.77870342588394, 16.811832641181958, 14.415123042176313, 15.474326665688082, 12.33101919737797, 6.078593911682158, 6.877830781574663, 6.426857351699818, 6.738656840240891, 3.2826220074663714, 2.3271958012858263, 1.3546874558788757, 0.0, 16.880892169624886, 14.90156201466763, 11.63597900642913, 9.847866022399112, 13.477313680481782, 8.997600292379746, 6.877830781574663, 4.341852794058684, 6.165509598688985, 5.158108888562695, 2.883024608435263, 1.5283484219256327, 0.0), # 15
(17.10533760411564, 17.128139339619217, 14.686333302245139, 15.765522215097217, 12.566735293898798, 6.192978012082533, 7.007166350067579, 6.547562483326471, 6.865435944664972, 3.344345090757899, 2.370996874939354, 1.380171581202741, 0.0, 17.198606600142384, 15.181887393230149, 11.85498437469677, 10.033035272273695, 13.730871889329944, 9.16658747665706, 7.007166350067579, 4.423555722916095, 6.283367646949399, 5.255174071699074, 2.9372666604490276, 1.55710357632902, 0.0), # 16
(17.395078877487137, 17.406380574956913, 14.92490459481353, 16.021673336630855, 12.774899750296605, 6.2935959462960005, 7.12093743875764, 6.653740203345614, 6.976957092989391, 3.398640440791261, 2.40952670348334, 1.4025887918796085, 0.0, 17.47808456018655, 15.428476710675692, 12.047633517416699, 10.195921322373781, 13.953914185978782, 9.31523628468386, 7.12093743875764, 4.4954256759257145, 6.387449875148302, 5.340557778876952, 2.984980918962706, 1.5823982340869922, 0.0), # 17
(17.645595605010367, 17.644177892002652, 15.12879775546482, 16.24059070761953, 12.953782358050306, 6.379587868417579, 7.2181714412095666, 6.744483318896446, 7.072267279485658, 3.4450438531695924, 2.4424559497621527, 1.4217474828457075, 0.0, 17.716937542216822, 15.63922231130278, 12.212279748810763, 10.335131559508774, 14.144534558971316, 9.442276646455024, 7.2181714412095666, 4.556848477441128, 6.476891179025153, 5.413530235873177, 3.0257595510929645, 1.6040161720002415, 0.0), # 18
(17.85455614569726, 17.83915283556408, 15.29597361978237, 16.420085005393776, 13.10165290863884, 6.450093932542269, 7.297895750988055, 6.818884637118185, 7.150413498425267, 3.4830911234960236, 2.4694552766201636, 1.4374560490372645, 0.0, 17.912777038692653, 15.812016539409907, 12.347276383100818, 10.449273370488068, 14.300826996850533, 9.546438491965459, 7.297895750988055, 4.607209951815906, 6.55082645431942, 5.473361668464593, 3.059194723956474, 1.621741166869462, 0.0), # 19
(18.01962885855975, 17.988926950448786, 15.424393023349506, 16.55796690728418, 13.216781193541133, 6.504254292765094, 7.359137761657826, 6.876036965150038, 7.210442744079718, 3.5123180473736824, 2.490195346901745, 1.4495228853905089, 0.0, 18.063214542073485, 15.944751739295596, 12.450976734508725, 10.536954142121044, 14.420885488159437, 9.626451751210054, 7.359137761657826, 4.645895923403639, 6.608390596770566, 5.51932230242806, 3.084878604669901, 1.6353569954953444, 0.0), # 20
(18.13848210260976, 18.09112178146442, 15.51201680174958, 16.652047090621256, 13.297437004236105, 6.541209103181062, 7.400924866783583, 6.915033110131218, 7.251402010720512, 3.532260420405701, 2.5043468234512685, 1.4577563868416692, 0.0, 18.165861544818743, 16.03532025525836, 12.52173411725634, 10.5967812612171, 14.502804021441024, 9.681046354183705, 7.400924866783583, 4.672292216557902, 6.648718502118053, 5.550682363540419, 3.1024033603499164, 1.644647434678584, 0.0), # 21
(18.20878423685924, 18.143358873418588, 15.55680579056593, 16.70013623273558, 13.341890132202689, 6.560098517885186, 7.422284459930039, 6.934965879200936, 7.27233829261915, 3.54245403819521, 2.5115803691131027, 1.4619649483269737, 0.0, 18.218329539387888, 16.08161443159671, 12.557901845565512, 10.627362114585626, 14.5446765852383, 9.70895223088131, 7.422284459930039, 4.6857846556322755, 6.6709450661013445, 5.5667120775785275, 3.111361158113186, 1.649396261219872, 0.0), # 22
(18.23470805401675, 18.14954393004115, 15.562384773662554, 16.706156597222225, 13.353278467239116, 6.5625, 7.424823602033405, 6.937120370370371, 7.274955740740741, 3.543656522633746, 2.512487411148522, 1.4624846364883404, 0.0, 18.225, 16.08733100137174, 12.56243705574261, 10.630969567901236, 14.549911481481482, 9.71196851851852, 7.424823602033405, 4.6875, 6.676639233619558, 5.568718865740743, 3.1124769547325113, 1.6499585390946503, 0.0), # 23
(18.253822343461476, 18.145936111111112, 15.561472222222221, 16.705415625000004, 13.359729136337823, 6.5625, 7.42342843137255, 6.934125, 7.274604999999999, 3.5429177777777783, 2.5123873737373743, 1.462362962962963, 0.0, 18.225, 16.085992592592593, 12.561936868686871, 10.628753333333332, 14.549209999999999, 9.707775, 7.42342843137255, 4.6875, 6.679864568168911, 5.568471875000002, 3.1122944444444447, 1.649630555555556, 0.0), # 24
(18.272533014380844, 18.138824588477366, 15.559670781893006, 16.70394965277778, 13.366037934713404, 6.5625, 7.420679012345679, 6.928240740740742, 7.273912037037037, 3.541463477366256, 2.512189019827909, 1.4621227709190674, 0.0, 18.225, 16.08335048010974, 12.560945099139545, 10.624390432098766, 14.547824074074073, 9.69953703703704, 7.420679012345679, 4.6875, 6.683018967356702, 5.567983217592594, 3.1119341563786014, 1.6489840534979427, 0.0), # 25
(18.290838634286462, 18.128318004115226, 15.557005144032923, 16.70177534722222, 13.372204642105325, 6.5625, 7.416618046477849, 6.919578703703704, 7.27288574074074, 3.539317818930042, 2.511894145155257, 1.4617673525377233, 0.0, 18.225, 16.079440877914955, 12.559470725776283, 10.617953456790124, 14.54577148148148, 9.687410185185186, 7.416618046477849, 4.6875, 6.686102321052663, 5.567258449074075, 3.111401028806585, 1.648028909465021, 0.0), # 26
(18.308737770689945, 18.114524999999997, 15.553500000000001, 16.698909375, 13.378229038253057, 6.5625, 7.411288235294118, 6.908250000000002, 7.271535, 3.5365050000000005, 2.5115045454545455, 1.4613000000000003, 0.0, 18.225, 16.0743, 12.557522727272728, 10.609514999999998, 14.54307, 9.671550000000002, 7.411288235294118, 4.6875, 6.689114519126528, 5.566303125, 3.1107000000000005, 1.646775, 0.0), # 27
(18.3262289911029, 18.097554218106993, 15.549180041152265, 16.695368402777778, 13.384110902896083, 6.5625, 7.404732280319536, 6.894365740740742, 7.269868703703704, 3.533049218106997, 2.5110220164609056, 1.4607240054869688, 0.0, 18.225, 16.067964060356655, 12.555110082304529, 10.599147654320989, 14.539737407407408, 9.652112037037039, 7.404732280319536, 4.6875, 6.6920554514480415, 5.565122800925927, 3.1098360082304533, 1.6452322016460905, 0.0), # 28
(18.34331086303695, 18.077514300411522, 15.54406995884774, 16.69116909722222, 13.389850015773863, 6.5625, 7.396992883079159, 6.8780370370370365, 7.267895740740741, 3.5289746707818943, 2.510448353909465, 1.4600426611796984, 0.0, 18.225, 16.06046927297668, 12.552241769547326, 10.58692401234568, 14.535791481481482, 9.629251851851851, 7.396992883079159, 4.6875, 6.694925007886932, 5.563723032407409, 3.1088139917695483, 1.6434103909465023, 0.0), # 29
(18.359981954003697, 18.054513888888888, 15.538194444444445, 16.686328125000003, 13.395446156625884, 6.5625, 7.388112745098039, 6.859375, 7.265625, 3.5243055555555567, 2.509785353535354, 1.4592592592592593, 0.0, 18.225, 16.05185185185185, 12.548926767676768, 10.572916666666668, 14.53125, 9.603125, 7.388112745098039, 4.6875, 6.697723078312942, 5.562109375000001, 3.107638888888889, 1.6413194444444446, 0.0), # 30
(18.376240831514746, 18.028661625514406, 15.531578189300415, 16.680862152777777, 13.400899105191609, 6.5625, 7.378134567901236, 6.838490740740741, 7.26306537037037, 3.5190660699588485, 2.5090348110737, 1.458377091906722, 0.0, 18.225, 16.04214801097394, 12.5451740553685, 10.557198209876542, 14.52613074074074, 9.573887037037037, 7.378134567901236, 4.6875, 6.7004495525958045, 5.56028738425926, 3.106315637860083, 1.638969238683128, 0.0), # 31
(18.392086063081717, 18.000066152263376, 15.524245884773661, 16.674787847222223, 13.406208641210513, 6.5625, 7.3671010530137995, 6.815495370370372, 7.260225740740741, 3.5132804115226346, 2.5081985222596335, 1.4573994513031552, 0.0, 18.225, 16.031393964334704, 12.540992611298167, 10.539841234567902, 14.520451481481482, 9.541693518518521, 7.3671010530137995, 4.6875, 6.703104320605257, 5.558262615740742, 3.1048491769547324, 1.6363696502057616, 0.0), # 32
(18.407516216216216, 17.96883611111111, 15.516222222222224, 16.668121874999997, 13.411374544422076, 6.5625, 7.355054901960784, 6.790500000000001, 7.257115, 3.506972777777779, 2.507278282828283, 1.4563296296296298, 0.0, 18.225, 16.019625925925926, 12.536391414141413, 10.520918333333334, 14.51423, 9.5067, 7.355054901960784, 4.6875, 6.705687272211038, 5.5560406250000005, 3.103244444444445, 1.6335305555555555, 0.0), # 33
(18.422529858429858, 17.93508014403292, 15.507531893004115, 16.660880902777777, 13.41639659456576, 6.5625, 7.342038816267248, 6.7636157407407405, 7.253742037037037, 3.500167366255145, 2.5062758885147773, 1.4551709190672155, 0.0, 18.225, 16.006880109739367, 12.531379442573886, 10.500502098765432, 14.507484074074075, 9.469062037037038, 7.342038816267248, 4.6875, 6.70819829728288, 5.553626967592593, 3.1015063786008232, 1.6304618312757202, 0.0), # 34
(18.437125557234253, 17.898906893004114, 15.49819958847737, 16.65308159722222, 13.421274571381044, 6.5625, 7.328095497458243, 6.734953703703703, 7.250115740740741, 3.4928883744855974, 2.5051931350542462, 1.4539266117969825, 0.0, 18.225, 15.993192729766804, 12.52596567527123, 10.47866512345679, 14.500231481481482, 9.428935185185185, 7.328095497458243, 4.6875, 6.710637285690522, 5.551027199074074, 3.099639917695474, 1.627173353909465, 0.0), # 35
(18.45130188014101, 17.860424999999996, 15.488249999999999, 16.644740624999997, 13.426008254607403, 6.5625, 7.313267647058823, 6.704625000000001, 7.246244999999999, 3.485160000000001, 2.504031818181818, 1.4526000000000006, 0.0, 18.225, 15.978600000000004, 12.520159090909091, 10.45548, 14.492489999999998, 9.386475, 7.313267647058823, 4.6875, 6.7130041273037016, 5.548246875, 3.0976500000000002, 1.623675, 0.0), # 36
(18.46505739466174, 17.819743106995883, 15.477707818930043, 16.63587465277778, 13.430597423984304, 6.5625, 7.2975979665940445, 6.672740740740741, 7.242138703703703, 3.477006440329219, 2.502793733632623, 1.451194375857339, 0.0, 18.225, 15.963138134430727, 12.513968668163116, 10.431019320987655, 14.484277407407406, 9.341837037037038, 7.2975979665940445, 4.6875, 6.715298711992152, 5.545291550925927, 3.0955415637860084, 1.619976646090535, 0.0), # 37
(18.47839066830806, 17.776969855967078, 15.466597736625513, 16.626500347222226, 13.435041859251228, 6.5625, 7.281129157588961, 6.639412037037038, 7.237805740740741, 3.4684518930041164, 2.5014806771417883, 1.4497130315500688, 0.0, 18.225, 15.946843347050754, 12.507403385708942, 10.405355679012347, 14.475611481481481, 9.295176851851854, 7.281129157588961, 4.6875, 6.717520929625614, 5.542166782407409, 3.0933195473251027, 1.61608816872428, 0.0), # 38
(18.491300268591576, 17.732213888888886, 15.454944444444445, 16.616634375, 13.439341340147644, 6.5625, 7.2639039215686285, 6.60475, 7.233255000000001, 3.4595205555555566, 2.500094444444445, 1.4481592592592594, 0.0, 18.225, 15.92975185185185, 12.500472222222223, 10.378561666666666, 14.466510000000001, 9.24665, 7.2639039215686285, 4.6875, 6.719670670073822, 5.538878125000001, 3.0909888888888895, 1.6120194444444444, 0.0), # 39
(18.503784763023894, 17.685583847736623, 15.442772633744857, 16.60629340277778, 13.443495646413021, 6.5625, 7.245964960058098, 6.568865740740742, 7.228495370370371, 3.4502366255144046, 2.49863683127572, 1.4465363511659812, 0.0, 18.225, 15.911899862825791, 12.4931841563786, 10.350709876543212, 14.456990740740743, 9.196412037037039, 7.245964960058098, 4.6875, 6.721747823206511, 5.535431134259261, 3.0885545267489714, 1.6077803497942387, 0.0), # 40
(18.51584271911663, 17.637188374485596, 15.430106995884776, 16.595494097222222, 13.447504557786843, 6.5625, 7.2273549745824255, 6.531870370370371, 7.22353574074074, 3.4406243004115233, 2.4971096333707448, 1.4448475994513033, 0.0, 18.225, 15.893323593964332, 12.485548166853723, 10.321872901234567, 14.44707148148148, 9.14461851851852, 7.2273549745824255, 4.6875, 6.723752278893421, 5.531831365740742, 3.0860213991769556, 1.6033807613168727, 0.0), # 41
(18.527472704381402, 17.587136111111114, 15.416972222222224, 16.584253125000004, 13.45136785400857, 6.5625, 7.208116666666666, 6.493875, 7.218385000000001, 3.4307077777777786, 2.4955146464646467, 1.4430962962962963, 0.0, 18.225, 15.874059259259258, 12.477573232323234, 10.292123333333333, 14.436770000000003, 9.091425000000001, 7.208116666666666, 4.6875, 6.725683927004285, 5.5280843750000015, 3.083394444444445, 1.598830555555556, 0.0), # 42
(18.538673286329807, 17.53553569958848, 15.403393004115227, 16.57258715277778, 13.455085314817683, 6.5625, 7.188292737835875, 6.454990740740741, 7.213052037037036, 3.420511255144034, 2.4938536662925554, 1.4412857338820306, 0.0, 18.225, 15.854143072702334, 12.469268331462775, 10.2615337654321, 14.426104074074072, 9.036987037037038, 7.188292737835875, 4.6875, 6.727542657408842, 5.524195717592594, 3.080678600823046, 1.5941396090534983, 0.0), # 43
(18.54944303247347, 17.482495781893004, 15.389394032921814, 16.560512847222224, 13.458656719953654, 6.5625, 7.1679258896151055, 6.415328703703706, 7.2075457407407395, 3.4100589300411532, 2.4921284885895996, 1.439419204389575, 0.0, 18.225, 15.833611248285322, 12.460642442947998, 10.230176790123457, 14.415091481481479, 8.981460185185188, 7.1679258896151055, 4.6875, 6.729328359976827, 5.520170949074076, 3.077878806584363, 1.5893177983539097, 0.0), # 44
(18.55978051032399, 17.428124999999998, 15.375, 16.548046875, 13.462081849155954, 6.5625, 7.147058823529412, 6.375000000000001, 7.201874999999999, 3.3993750000000014, 2.4903409090909094, 1.4375000000000002, 0.0, 18.225, 15.8125, 12.451704545454545, 10.198125000000001, 14.403749999999999, 8.925, 7.147058823529412, 4.6875, 6.731040924577977, 5.516015625000001, 3.075, 1.584375, 0.0), # 45
(18.569684287392985, 17.372531995884774, 15.360235596707819, 16.535205902777776, 13.465360482164058, 6.5625, 7.125734241103849, 6.334115740740741, 7.196048703703703, 3.388483662551441, 2.4884927235316128, 1.4355314128943761, 0.0, 18.225, 15.790845541838134, 12.442463617658062, 10.16545098765432, 14.392097407407405, 8.86776203703704, 7.125734241103849, 4.6875, 6.732680241082029, 5.511735300925927, 3.072047119341564, 1.5793210905349795, 0.0), # 46
(18.579152931192063, 17.31582541152263, 15.345125514403293, 16.522006597222223, 13.46849239871744, 6.5625, 7.103994843863473, 6.292787037037037, 7.190075740740742, 3.3774091152263384, 2.486585727646839, 1.4335167352537728, 0.0, 18.225, 15.768684087791497, 12.432928638234193, 10.132227345679013, 14.380151481481484, 8.809901851851851, 7.103994843863473, 4.6875, 6.73424619935872, 5.507335532407408, 3.069025102880659, 1.5741659465020577, 0.0), # 47
(18.588185009232834, 17.258113888888886, 15.329694444444444, 16.508465625, 13.471477378555573, 6.5625, 7.081883333333334, 6.251125000000001, 7.183965000000001, 3.3661755555555564, 2.4846217171717173, 1.4314592592592594, 0.0, 18.225, 15.746051851851853, 12.423108585858586, 10.098526666666666, 14.367930000000001, 8.751575, 7.081883333333334, 4.6875, 6.735738689277786, 5.502821875000001, 3.065938888888889, 1.5689194444444445, 0.0), # 48
(18.596779089026917, 17.199506069958847, 15.313967078189304, 16.49459965277778, 13.47431520141793, 6.5625, 7.059442411038489, 6.209240740740741, 7.17772537037037, 3.35480718106996, 2.4826024878413775, 1.4293622770919072, 0.0, 18.225, 15.722985048010976, 12.413012439206886, 10.064421543209878, 14.35545074074074, 8.692937037037037, 7.059442411038489, 4.6875, 6.737157600708965, 5.498199884259261, 3.0627934156378607, 1.5635914609053498, 0.0), # 49
(18.604933738085908, 17.140110596707824, 15.297968106995889, 16.480425347222223, 13.477005647043978, 6.5625, 7.0367147785039945, 6.16724537037037, 7.1713657407407405, 3.3433281893004123, 2.480529835390947, 1.427229080932785, 0.0, 18.225, 15.699519890260632, 12.402649176954732, 10.029984567901234, 14.342731481481481, 8.634143518518519, 7.0367147785039945, 4.6875, 6.738502823521989, 5.4934751157407415, 3.059593621399178, 1.5581918724279842, 0.0), # 50
(18.61264752392144, 17.080036111111113, 15.281722222222223, 16.465959375, 13.479548495173198, 6.5625, 7.013743137254902, 6.12525, 7.164895000000001, 3.3317627777777785, 2.478405555555556, 1.4250629629629634, 0.0, 18.225, 15.675692592592595, 12.392027777777779, 9.995288333333333, 14.329790000000003, 8.57535, 7.013743137254902, 4.6875, 6.739774247586599, 5.488653125000001, 3.0563444444444445, 1.552730555555556, 0.0), # 51
(18.619919014045102, 17.019391255144033, 15.26525411522634, 16.45121840277778, 13.481943525545056, 6.5625, 6.9905701888162675, 6.08336574074074, 7.158322037037037, 3.320135144032923, 2.4762314440703332, 1.4228672153635122, 0.0, 18.225, 15.651539368998632, 12.381157220351666, 9.960405432098767, 14.316644074074073, 8.516712037037037, 6.9905701888162675, 4.6875, 6.740971762772528, 5.483739467592594, 3.0530508230452678, 1.547217386831276, 0.0), # 52
(18.626746775968517, 16.958284670781893, 15.248588477366258, 16.43621909722222, 13.484190517899034, 6.5625, 6.967238634713145, 6.041703703703704, 7.1516557407407415, 3.3084694855967087, 2.4740092966704084, 1.4206451303155008, 0.0, 18.225, 15.627096433470507, 12.37004648335204, 9.925408456790123, 14.303311481481483, 8.458385185185186, 6.967238634713145, 4.6875, 6.742095258949517, 5.478739699074075, 3.049717695473252, 1.5416622427983542, 0.0), # 53
(18.63312937720329, 16.896825000000003, 15.23175, 16.420978125, 13.486289251974604, 6.5625, 6.943791176470588, 6.000374999999999, 7.144905, 3.296790000000001, 2.4717409090909093, 1.4184000000000003, 0.0, 18.225, 15.602400000000001, 12.358704545454545, 9.89037, 14.28981, 8.400525, 6.943791176470588, 4.6875, 6.743144625987302, 5.473659375000001, 3.04635, 1.5360750000000005, 0.0), # 54
(18.63906538526104, 16.835120884773662, 15.2147633744856, 16.405512152777778, 13.488239507511228, 6.5625, 6.9202705156136535, 5.9594907407407405, 7.1380787037037035, 3.2851208847736637, 2.4694280770669663, 1.4161351165980798, 0.0, 18.225, 15.577486282578874, 12.34714038533483, 9.855362654320988, 14.276157407407407, 8.343287037037037, 6.9202705156136535, 4.6875, 6.744119753755614, 5.468504050925927, 3.04295267489712, 1.530465534979424, 0.0), # 55
(18.64455336765337, 16.77328096707819, 15.197653292181073, 16.389837847222225, 13.49004106424839, 6.5625, 6.896719353667393, 5.9191620370370375, 7.131185740740741, 3.2734863374485608, 2.467072596333708, 1.4138537722908093, 0.0, 18.225, 15.5523914951989, 12.335362981668538, 9.82045901234568, 14.262371481481482, 8.286826851851853, 6.896719353667393, 4.6875, 6.745020532124195, 5.463279282407409, 3.0395306584362145, 1.5248437242798356, 0.0), # 56
(18.649591891891887, 16.711413888888888, 15.180444444444445, 16.373971875, 13.49169370192556, 6.5625, 6.873180392156863, 5.879500000000001, 7.124235, 3.2619105555555565, 2.4646762626262633, 1.4115592592592594, 0.0, 18.225, 15.527151851851851, 12.323381313131314, 9.785731666666667, 14.24847, 8.231300000000001, 6.873180392156863, 4.6875, 6.74584685096278, 5.457990625000001, 3.0360888888888895, 1.5192194444444447, 0.0), # 57
(18.654179525488225, 16.64962829218107, 15.163161522633745, 16.357930902777774, 13.49319720028221, 6.5625, 6.849696332607118, 5.840615740740741, 7.11723537037037, 3.2504177366255154, 2.4622408716797612, 1.4092548696844995, 0.0, 18.225, 15.501803566529492, 12.311204358398806, 9.751253209876543, 14.23447074074074, 8.176862037037038, 6.849696332607118, 4.6875, 6.746598600141105, 5.4526436342592595, 3.032632304526749, 1.5136025720164612, 0.0), # 58
(18.658314835953966, 16.58803281893004, 15.145829218106996, 16.34173159722222, 13.494551339057814, 6.5625, 6.82630987654321, 5.802620370370371, 7.110195740740741, 3.2390320781893016, 2.4597682192293306, 1.4069438957475995, 0.0, 18.225, 15.476382853223592, 12.298841096146651, 9.717096234567903, 14.220391481481482, 8.12366851851852, 6.82630987654321, 4.6875, 6.747275669528907, 5.447243865740742, 3.0291658436213997, 1.5080029835390947, 0.0), # 59
(18.661996390800738, 16.526736111111113, 15.128472222222221, 16.325390625, 13.495755897991843, 6.5625, 6.803063725490196, 5.765625, 7.103125, 3.2277777777777787, 2.4572601010101014, 1.40462962962963, 0.0, 18.225, 15.450925925925928, 12.286300505050505, 9.683333333333334, 14.20625, 8.071875, 6.803063725490196, 4.6875, 6.747877948995922, 5.441796875000001, 3.0256944444444445, 1.502430555555556, 0.0), # 60
(18.665222757540146, 16.465846810699592, 15.111115226337452, 16.308924652777776, 13.496810656823772, 6.5625, 6.780000580973129, 5.729740740740741, 7.0960320370370376, 3.216679032921812, 2.4547183127572016, 1.40231536351166, 0.0, 18.225, 15.425468998628258, 12.273591563786008, 9.650037098765434, 14.192064074074075, 8.021637037037038, 6.780000580973129, 4.6875, 6.748405328411886, 5.436308217592593, 3.0222230452674905, 1.496895164609054, 0.0), # 61
(18.66799250368381, 16.40547355967078, 15.093782921810703, 16.292350347222225, 13.497715395293081, 6.5625, 6.757163144517066, 5.695078703703705, 7.088925740740741, 3.2057600411522644, 2.4521446502057613, 1.4000043895747603, 0.0, 18.225, 15.40004828532236, 12.260723251028807, 9.61728012345679, 14.177851481481483, 7.973110185185186, 6.757163144517066, 4.6875, 6.748857697646541, 5.430783449074076, 3.018756584362141, 1.4914066872427985, 0.0), # 62
(18.670304196743327, 16.345724999999998, 15.0765, 16.275684375, 13.498469893139227, 6.5625, 6.734594117647059, 5.6617500000000005, 7.081815, 3.195045000000001, 2.4495409090909095, 1.3977000000000002, 0.0, 18.225, 15.3747, 12.247704545454548, 9.585135, 14.16363, 7.926450000000001, 6.734594117647059, 4.6875, 6.749234946569613, 5.425228125000001, 3.0153000000000003, 1.485975, 0.0), # 63
(18.672156404230314, 16.286709773662555, 15.059291152263373, 16.258943402777778, 13.499073930101698, 6.5625, 6.712336201888163, 5.629865740740741, 7.0747087037037035, 3.1845581069958855, 2.446908885147774, 1.3954054869684502, 0.0, 18.225, 15.34946035665295, 12.23454442573887, 9.553674320987653, 14.149417407407407, 7.881812037037038, 6.712336201888163, 4.6875, 6.749536965050849, 5.419647800925927, 3.011858230452675, 1.4806099794238687, 0.0), # 64
(18.67354769365639, 16.228536522633743, 15.042181069958849, 16.242144097222223, 13.49952728591996, 6.5625, 6.690432098765433, 5.599537037037037, 7.067615740740742, 3.1743235596707824, 2.4442503741114856, 1.3931241426611796, 0.0, 18.225, 15.324365569272972, 12.221251870557428, 9.522970679012344, 14.135231481481483, 7.839351851851852, 6.690432098765433, 4.6875, 6.74976364295998, 5.4140480324074085, 3.00843621399177, 1.4753215020576131, 0.0), # 65
(18.674476632533153, 16.17131388888889, 15.025194444444447, 16.225303125, 13.499829740333489, 6.5625, 6.668924509803921, 5.570875000000001, 7.060545000000001, 3.1643655555555563, 2.4415671717171716, 1.3908592592592597, 0.0, 18.225, 15.299451851851854, 12.207835858585858, 9.493096666666666, 14.121090000000002, 7.799225000000001, 6.668924509803921, 4.6875, 6.749914870166744, 5.408434375000001, 3.0050388888888895, 1.4701194444444448, 0.0), # 66
(18.674941788372227, 16.11515051440329, 15.00835596707819, 16.208437152777776, 13.499981073081756, 6.5625, 6.647856136528685, 5.543990740740742, 7.05350537037037, 3.154708292181071, 2.438861073699963, 1.3886141289437586, 0.0, 18.225, 15.274755418381341, 12.194305368499816, 9.464124876543211, 14.10701074074074, 7.761587037037039, 6.647856136528685, 4.6875, 6.749990536540878, 5.40281238425926, 3.001671193415638, 1.465013683127572, 0.0), # 67
(18.674624906065485, 16.059860254878533, 14.99160892489712, 16.19141634963768, 13.499853546356814, 6.56237821216278, 6.627163675346682, 5.518757887517148, 7.046452709190673, 3.145329198741226, 2.436085796562113, 1.3863795032849615, 0.0, 18.22477527006173, 15.250174536134574, 12.180428982810565, 9.435987596223676, 14.092905418381346, 7.726261042524007, 6.627163675346682, 4.6874130086877, 6.749926773178407, 5.3971387832125615, 2.998321784979424, 1.4599872958980487, 0.0), # 68
(18.671655072463768, 16.00375510752688, 14.974482638888889, 16.173382744565217, 13.498692810457515, 6.561415432098766, 6.606241363211952, 5.493824074074074, 7.039078703703703, 3.1359628758169937, 2.4329588516746417, 1.3840828460038987, 0.0, 18.222994791666668, 15.224911306042884, 12.164794258373206, 9.407888627450978, 14.078157407407407, 7.6913537037037045, 6.606241363211952, 4.686725308641976, 6.749346405228757, 5.391127581521739, 2.994896527777778, 1.4548868279569895, 0.0), # 69
(18.665794417606012, 15.946577558741536, 14.956902649176953, 16.154217617753623, 13.496399176954732, 6.559519318701418, 6.5849941211052325, 5.468964334705077, 7.031341735253773, 3.1265637860082314, 2.429444665957824, 1.3817134141939216, 0.0, 18.219478202160495, 15.198847556133135, 12.147223329789119, 9.379691358024692, 14.062683470507546, 7.656550068587107, 6.5849941211052325, 4.685370941929584, 6.748199588477366, 5.384739205917875, 2.9913805298353906, 1.4496888689765035, 0.0), # 70
(18.657125389157272, 15.888361778176023, 14.938875128600824, 16.133949230072467, 13.493001694504963, 6.556720598994056, 6.56343149358509, 5.444186899862826, 7.023253326474624, 3.1171321617041885, 2.425556211235159, 1.3792729405819073, 0.0, 18.21427179783951, 15.172002346400978, 12.127781056175793, 9.351396485112563, 14.046506652949247, 7.621861659807958, 6.56343149358509, 4.683371856424325, 6.746500847252482, 5.377983076690823, 2.987775025720165, 1.4443965252887296, 0.0), # 71
(18.64573043478261, 15.82914193548387, 14.92040625, 16.112605842391304, 13.488529411764706, 6.553050000000001, 6.541563025210084, 5.4195, 7.014825, 3.1076682352941183, 2.421306459330144, 1.376763157894737, 0.0, 18.207421875, 15.144394736842104, 12.10653229665072, 9.323004705882353, 14.02965, 7.587300000000001, 6.541563025210084, 4.680750000000001, 6.744264705882353, 5.370868614130436, 2.98408125, 1.4390129032258066, 0.0), # 72
(18.631692002147076, 15.768952200318596, 14.90150218621399, 16.09021571557971, 13.483011377390461, 6.548538248742569, 6.519398260538782, 5.394911865569274, 7.006068278463649, 3.0981722391672726, 2.4167083820662767, 1.374185798859288, 0.0, 18.198974729938275, 15.116043787452165, 12.083541910331384, 9.294516717501814, 14.012136556927299, 7.552876611796983, 6.519398260538782, 4.677527320530407, 6.741505688695231, 5.363405238526571, 2.9803004372427986, 1.4335411091198726, 0.0), # 73
(18.61509253891573, 15.707826742333731, 14.882169110082302, 16.06680711050725, 13.47647664003873, 6.543216072245086, 6.49694674412975, 5.37043072702332, 6.996994684499314, 3.0886444057129037, 2.411774951267057, 1.3715425962024403, 0.0, 18.18897665895062, 15.086968558226841, 12.058874756335285, 9.26593321713871, 13.993989368998628, 7.518603017832648, 6.49694674412975, 4.673725765889347, 6.738238320019365, 5.355602370169083, 2.976433822016461, 1.4279842493030668, 0.0), # 74
(18.59601449275362, 15.645799731182793, 14.862413194444443, 16.04240828804348, 13.468954248366014, 6.537114197530865, 6.47421802054155, 5.346064814814815, 6.98761574074074, 3.0790849673202625, 2.406519138755981, 1.3688352826510723, 0.0, 18.177473958333334, 15.057188109161793, 12.032595693779903, 9.237254901960785, 13.97523148148148, 7.484490740740742, 6.47421802054155, 4.669367283950618, 6.734477124183007, 5.347469429347827, 2.9724826388888888, 1.422345430107527, 0.0), # 75
(18.57454031132582, 15.582905336519316, 14.842240612139918, 16.01704750905797, 13.460473251028805, 6.53026335162323, 6.451221634332746, 5.321822359396434, 6.977942969821673, 3.069494156378602, 2.400953916356548, 1.3660655909320625, 0.0, 18.164512924382716, 15.026721500252684, 12.004769581782737, 9.208482469135802, 13.955885939643347, 7.450551303155008, 6.451221634332746, 4.664473822588021, 6.730236625514403, 5.339015836352658, 2.9684481224279837, 1.4166277578653925, 0.0), # 76
(18.55075244229737, 15.519177727996816, 14.821657536008228, 15.99075303442029, 13.451062696683609, 6.522694261545496, 6.4279671300619015, 5.2977115912208514, 6.967987894375857, 3.059872205277174, 2.3950922558922563, 1.3632352537722912, 0.0, 18.150139853395064, 14.9955877914952, 11.975461279461282, 9.179616615831518, 13.935975788751714, 7.416796227709193, 6.4279671300619015, 4.659067329675354, 6.725531348341804, 5.330251011473431, 2.964331507201646, 1.4108343389088016, 0.0), # 77
(18.524733333333334, 15.45465107526882, 14.80067013888889, 15.963553124999999, 13.440751633986928, 6.514437654320987, 6.404464052287582, 5.273740740740742, 6.957762037037036, 3.0502193464052296, 2.388947129186603, 1.3603460038986357, 0.0, 18.134401041666667, 14.963806042884991, 11.944735645933015, 9.150658039215687, 13.915524074074073, 7.383237037037039, 6.404464052287582, 4.653169753086419, 6.720375816993464, 5.3211843750000005, 2.960134027777778, 1.404968279569893, 0.0), # 78
(18.496565432098766, 15.389359547988851, 14.779284593621398, 15.935476041666668, 13.429569111595256, 6.505524256973022, 6.380721945568351, 5.249918038408779, 6.947276920438957, 3.0405358121520223, 2.382531508063087, 1.3573995740379758, 0.0, 18.117342785493825, 14.931395314417731, 11.912657540315433, 9.121607436456063, 13.894553840877913, 7.349885253772292, 6.380721945568351, 4.646803040695016, 6.714784555797628, 5.311825347222223, 2.95585691872428, 1.399032686180805, 0.0), # 79
(18.466331186258724, 15.323337315810434, 14.757507073045266, 15.906550045289855, 13.417544178165095, 6.49598479652492, 6.356750354462773, 5.226251714677641, 6.9365440672153635, 3.030821834906803, 2.375858364345207, 1.3543976969171905, 0.0, 18.09901138117284, 14.898374666089092, 11.879291821726033, 9.092465504720405, 13.873088134430727, 7.316752400548698, 6.356750354462773, 4.639989140374943, 6.708772089082547, 5.302183348429953, 2.9515014146090537, 1.3930306650736761, 0.0), # 80
(18.434113043478263, 15.256618548387095, 14.735343749999998, 15.876803396739131, 13.404705882352939, 6.48585, 6.3325588235294115, 5.202750000000001, 6.925574999999999, 3.0210776470588248, 2.36894066985646, 1.3513421052631582, 0.0, 18.079453124999997, 14.864763157894737, 11.844703349282298, 9.063232941176471, 13.851149999999999, 7.283850000000001, 6.3325588235294115, 4.63275, 6.7023529411764695, 5.292267798913045, 2.94706875, 1.3869653225806453, 0.0), # 81
(18.399993451422436, 15.189237415372364, 14.712800797325105, 15.846264356884058, 13.391083272815298, 6.475150594421583, 6.308156897326833, 5.179421124828533, 6.914381241426612, 3.011303480997338, 2.3617913964203443, 1.3482345318027582, 0.0, 18.058714313271608, 14.830579849830338, 11.80895698210172, 9.03391044299201, 13.828762482853223, 7.2511895747599455, 6.308156897326833, 4.625107567443988, 6.695541636407649, 5.2820881189613536, 2.9425601594650215, 1.3808397650338515, 0.0), # 82
(18.364054857756308, 15.121228086419752, 14.689884387860083, 15.8149611865942, 13.376705398208665, 6.463917306812986, 6.283554120413598, 5.156273319615913, 6.902974314128944, 3.001499569111596, 2.3544235158603586, 1.3450767092628693, 0.0, 18.036841242283952, 14.79584380189156, 11.772117579301792, 9.004498707334786, 13.805948628257887, 7.218782647462278, 6.283554120413598, 4.617083790580704, 6.688352699104333, 5.2716537288647345, 2.9379768775720168, 1.374657098765432, 0.0), # 83
(18.326379710144927, 15.052624731182796, 14.666600694444444, 15.78292214673913, 13.361601307189542, 6.452180864197532, 6.258760037348273, 5.133314814814815, 6.89136574074074, 2.9916661437908503, 2.3468500000000003, 1.3418703703703705, 0.0, 18.013880208333333, 14.760574074074073, 11.73425, 8.97499843137255, 13.78273148148148, 7.186640740740741, 6.258760037348273, 4.608700617283951, 6.680800653594771, 5.260974048913044, 2.933320138888889, 1.3684204301075271, 0.0), # 84
(18.287050456253354, 14.983461519315012, 14.642955889917694, 15.750175498188408, 13.345800048414427, 6.439971993598538, 6.233784192689422, 5.110553840877915, 6.879567043895747, 2.981803437424353, 2.3390838206627684, 1.338617247852141, 0.0, 17.989877507716052, 14.724789726373547, 11.69541910331384, 8.945410312273058, 13.759134087791494, 7.154775377229082, 6.233784192689422, 4.5999799954275264, 6.672900024207213, 5.250058499396137, 2.928591177983539, 1.362132865392274, 0.0), # 85
(18.246149543746643, 14.913772620469931, 14.618956147119343, 15.716749501811597, 13.32933067053982, 6.427321422039324, 6.208636130995608, 5.087998628257887, 6.86758974622771, 2.9719116824013563, 2.3311379496721605, 1.3353190744350594, 0.0, 17.964879436728395, 14.68850981878565, 11.655689748360802, 8.915735047204068, 13.73517949245542, 7.123198079561043, 6.208636130995608, 4.590943872885232, 6.66466533526991, 5.2389165006038665, 2.923791229423869, 1.3557975109518121, 0.0), # 86
(18.203759420289852, 14.843592204301075, 14.594607638888888, 15.68267241847826, 13.312222222222225, 6.41425987654321, 6.1833253968253965, 5.065657407407408, 6.855445370370372, 2.9619911111111112, 2.323025358851675, 1.3319775828460039, 0.0, 17.938932291666667, 14.651753411306041, 11.615126794258373, 8.885973333333332, 13.710890740740744, 7.091920370370371, 6.1833253968253965, 4.581614197530865, 6.656111111111112, 5.227557472826088, 2.9189215277777776, 1.3494174731182798, 0.0), # 87
(18.159962533548043, 14.772954440461966, 14.569916538065844, 15.647972509057974, 13.294503752118132, 6.400818084133517, 6.157861534737352, 5.043538408779149, 6.843145438957476, 2.952041955942871, 2.31475902002481, 1.328594505811855, 0.0, 17.912082368827164, 14.614539563930402, 11.573795100124048, 8.856125867828611, 13.686290877914953, 7.06095377229081, 6.157861534737352, 4.572012917238227, 6.647251876059066, 5.215990836352659, 2.913983307613169, 1.3429958582238153, 0.0), # 88
(18.11484133118626, 14.701893498606132, 14.544889017489714, 15.612678034420288, 13.276204308884047, 6.387026771833563, 6.132254089290037, 5.0216498628257895, 6.830701474622771, 2.942064449285888, 2.3063519050150636, 1.3251715760594904, 0.0, 17.884375964506173, 14.576887336654393, 11.531759525075316, 8.826193347857663, 13.661402949245542, 7.0303098079561055, 6.132254089290037, 4.562161979881116, 6.638102154442024, 5.2042260114734304, 2.908977803497943, 1.3365357726005578, 0.0), # 89
(18.068478260869565, 14.630443548387097, 14.519531250000002, 15.576817255434786, 13.257352941176471, 6.372916666666668, 6.106512605042017, 5.0, 6.818125, 2.9320588235294123, 2.2978169856459334, 1.3217105263157898, 0.0, 17.855859375, 14.538815789473684, 11.489084928229666, 8.796176470588236, 13.63625, 7.0, 6.106512605042017, 4.552083333333334, 6.6286764705882355, 5.192272418478263, 2.903906250000001, 1.3300403225806454, 0.0), # 90
(18.020955770263015, 14.558638759458383, 14.493849408436214, 15.540418432971018, 13.237978697651899, 6.35851849565615, 6.0806466265518555, 4.978597050754459, 6.80542753772291, 2.922025311062697, 2.2891672337409186, 1.3182130893076314, 0.0, 17.826578896604936, 14.500343982383942, 11.445836168704592, 8.76607593318809, 13.61085507544582, 6.9700358710562424, 6.0806466265518555, 4.541798925468679, 6.6189893488259495, 5.180139477657007, 2.898769881687243, 1.3235126144962168, 0.0), # 91
(17.97235630703167, 14.486513301473519, 14.467849665637862, 15.50350982789855, 13.218110626966835, 6.343862985825332, 6.054665698378118, 4.957449245541839, 6.7926206104252405, 2.9119641442749944, 2.2804156211235163, 1.3146809977618947, 0.0, 17.796580825617283, 14.46149097538084, 11.40207810561758, 8.735892432824983, 13.585241220850481, 6.940428943758574, 6.054665698378118, 4.531330704160951, 6.609055313483418, 5.167836609299518, 2.8935699331275724, 1.3169557546794108, 0.0), # 92
(17.92276231884058, 14.414101344086022, 14.441538194444446, 15.46611970108696, 13.197777777777777, 6.328980864197531, 6.0285793650793655, 4.936564814814815, 6.779715740740741, 2.9018755555555558, 2.2715751196172254, 1.3111159844054583, 0.0, 17.76591145833333, 14.422275828460037, 11.357875598086125, 8.705626666666666, 13.559431481481482, 6.911190740740742, 6.0285793650793655, 4.520700617283951, 6.598888888888888, 5.155373233695654, 2.888307638888889, 1.3103728494623659, 0.0), # 93
(17.872256253354806, 14.341437056949422, 14.414921167695475, 15.428276313405796, 13.177009198741224, 6.313902857796068, 6.002397171214165, 4.915951989026064, 6.766724451303155, 2.891759777293634, 2.2626587010455435, 1.3075197819652014, 0.0, 17.734617091049383, 14.382717601617212, 11.313293505227715, 8.675279331880901, 13.53344890260631, 6.88233278463649, 6.002397171214165, 4.509930612711477, 6.588504599370612, 5.1427587711352665, 2.882984233539095, 1.3037670051772203, 0.0), # 94
(17.820920558239397, 14.268554609717246, 14.388004758230455, 15.390007925724635, 13.155833938513677, 6.298659693644262, 5.97612866134108, 4.895618998628259, 6.753658264746228, 2.88161704187848, 2.253679337231969, 1.3038941231680024, 0.0, 17.70274402006173, 14.342835354848022, 11.268396686159845, 8.644851125635439, 13.507316529492456, 6.853866598079563, 5.97612866134108, 4.49904263831733, 6.577916969256838, 5.130002641908213, 2.8776009516460914, 1.2971413281561135, 0.0), # 95
(17.76883768115942, 14.195488172043014, 14.360795138888891, 15.351342798913045, 13.134281045751635, 6.283282098765432, 5.9497833800186735, 4.875574074074075, 6.740528703703703, 2.8714475816993468, 2.2446500000000005, 1.300240740740741, 0.0, 17.67033854166667, 14.30264814814815, 11.22325, 8.614342745098039, 13.481057407407405, 6.825803703703705, 5.9497833800186735, 4.488058641975309, 6.5671405228758175, 5.117114266304349, 2.8721590277777787, 1.2904989247311833, 0.0), # 96
(17.716090069779927, 14.12227191358025, 14.333298482510289, 15.31230919384058, 13.112379569111596, 6.267800800182899, 5.9233708718055125, 4.855825445816188, 6.727347290809328, 2.8612516291454857, 2.235583661173135, 1.2965613674102956, 0.0, 17.637446952160495, 14.262175041513249, 11.177918305865674, 8.583754887436456, 13.454694581618655, 6.798155624142662, 5.9233708718055125, 4.477000571559214, 6.556189784555798, 5.104103064613527, 2.8666596965020577, 1.2838429012345685, 0.0), # 97
(17.66276017176597, 14.048940003982477, 14.305520961934155, 15.27293537137681, 13.090158557250064, 6.252246524919983, 5.896900681260158, 4.83638134430727, 6.714125548696844, 2.851029416606149, 2.226493292574872, 1.2928577359035447, 0.0, 17.604115547839505, 14.22143509493899, 11.13246646287436, 8.553088249818446, 13.428251097393687, 6.770933882030178, 5.896900681260158, 4.465890374942845, 6.545079278625032, 5.090978457125605, 2.8611041923868314, 1.277176363998407, 0.0), # 98
(17.608930434782607, 13.975526612903225, 14.277468750000002, 15.233249592391303, 13.067647058823532, 6.23665, 5.870382352941177, 4.8172500000000005, 6.700875, 2.8407811764705886, 2.2173918660287084, 1.2891315789473687, 0.0, 17.570390625, 14.180447368421053, 11.086959330143541, 8.522343529411764, 13.40175, 6.744150000000001, 5.870382352941177, 4.45475, 6.533823529411766, 5.0777498641304355, 2.8554937500000004, 1.2705024193548389, 0.0), # 99
(17.5546833064949, 13.902065909996015, 14.249148019547325, 15.193280117753623, 13.044874122488501, 6.2210419524462734, 5.843825431407131, 4.798439643347051, 6.687607167352539, 2.8305071411280567, 2.2082923533581433, 1.285384629268645, 0.0, 17.536318479938274, 14.139230921955095, 11.041461766790714, 8.49152142338417, 13.375214334705078, 6.717815500685871, 5.843825431407131, 4.443601394604481, 6.522437061244251, 5.064426705917875, 2.8498296039094653, 1.2638241736360014, 0.0), # 100
(17.500101234567904, 13.828592064914377, 14.22056494341564, 15.153055208333335, 13.021868796901476, 6.205453109282122, 5.817239461216586, 4.7799585048010975, 6.674333573388203, 2.820207542967805, 2.1992077263866743, 1.281618619594253, 0.0, 17.501945408950615, 14.097804815536781, 10.99603863193337, 8.460622628903414, 13.348667146776407, 6.691941906721536, 5.817239461216586, 4.432466506630087, 6.510934398450738, 5.051018402777779, 2.8441129886831282, 1.2571447331740344, 0.0), # 101
(17.44526666666667, 13.755139247311828, 14.191725694444445, 15.112603125, 12.998660130718955, 6.189914197530865, 5.790633986928105, 4.761814814814815, 6.66106574074074, 2.809882614379086, 2.1901509569377993, 1.2778352826510724, 0.0, 17.467317708333336, 14.056188109161795, 10.950754784688995, 8.429647843137257, 13.32213148148148, 6.666540740740741, 5.790633986928105, 4.421367283950618, 6.499330065359477, 5.037534375000001, 2.838345138888889, 1.2504672043010754, 0.0), # 102
(17.390262050456254, 13.681741626841896, 14.16263644547325, 15.071952128623188, 12.975277172597433, 6.174455944215821, 5.764018553100253, 4.7440168038408785, 6.647815192043895, 2.7995325877511505, 2.181135016835017, 1.2740363511659811, 0.0, 17.432481674382714, 14.014399862825789, 10.905675084175085, 8.39859776325345, 13.29563038408779, 6.64162352537723, 5.764018553100253, 4.410325674439872, 6.487638586298717, 5.023984042874397, 2.8325272890946502, 1.2437946933492634, 0.0), # 103
(17.335169833601718, 13.608433373158105, 14.133303369341563, 15.031130480072465, 12.951748971193414, 6.159109076360311, 5.737402704291593, 4.7265727023319615, 6.634593449931413, 2.7891576954732518, 2.1721728779018252, 1.2702235578658583, 0.0, 17.397483603395063, 13.972459136524439, 10.860864389509127, 8.367473086419754, 13.269186899862826, 6.617201783264746, 5.737402704291593, 4.399363625971651, 6.475874485596707, 5.010376826690822, 2.826660673868313, 1.237130306650737, 0.0), # 104
(17.280072463768114, 13.535248655913978, 14.103732638888891, 14.99016644021739, 12.928104575163397, 6.143904320987655, 5.710795985060692, 4.709490740740741, 6.621412037037037, 2.7787581699346413, 2.1632775119617227, 1.2663986354775831, 0.0, 17.362369791666666, 13.930384990253412, 10.816387559808613, 8.336274509803923, 13.242824074074074, 6.5932870370370384, 5.710795985060692, 4.388503086419754, 6.464052287581699, 4.996722146739131, 2.820746527777778, 1.2304771505376346, 0.0), # 105
(17.225052388620504, 13.462221644763043, 14.073930426954732, 14.949088269927536, 12.904373033163882, 6.128872405121171, 5.68420793996611, 4.6927791495198905, 6.608282475994512, 2.7683342435245706, 2.1544618908382067, 1.2625633167280343, 0.0, 17.327186535493826, 13.888196484008375, 10.772309454191033, 8.30500273057371, 13.216564951989024, 6.5698908093278465, 5.68420793996611, 4.377766003657979, 6.452186516581941, 4.98302942330918, 2.8147860853909465, 1.223838331342095, 0.0), # 106
(17.17019205582394, 13.389386509358822, 14.043902906378605, 14.907924230072464, 12.880583393851367, 6.114044055784181, 5.657648113566415, 4.6764461591220865, 6.595216289437586, 2.7578861486322928, 2.145738986354776, 1.2587193343440908, 0.0, 17.29198013117284, 13.845912677784996, 10.728694931773878, 8.273658445896878, 13.190432578875171, 6.547024622770921, 5.657648113566415, 4.367174325560129, 6.440291696925684, 4.969308076690822, 2.808780581275721, 1.2172169553962566, 0.0), # 107
(17.11557391304348, 13.31677741935484, 14.013656250000002, 14.866702581521741, 12.856764705882352, 6.099450000000001, 5.631126050420168, 4.660500000000001, 6.582225000000001, 2.7474141176470597, 2.1371217703349283, 1.2548684210526317, 0.0, 17.256796875000003, 13.803552631578947, 10.685608851674642, 8.242242352941178, 13.164450000000002, 6.524700000000001, 5.631126050420168, 4.356750000000001, 6.428382352941176, 4.955567527173915, 2.8027312500000003, 1.2106161290322583, 0.0), # 108
(17.061280407944178, 13.24442854440462, 13.983196630658439, 14.825451585144926, 12.832946017913338, 6.085120964791952, 5.604651295085936, 4.644948902606311, 6.569320130315501, 2.736918382958122, 2.1286232146021624, 1.2510123095805359, 0.0, 17.221683063271605, 13.761135405385891, 10.64311607301081, 8.210755148874364, 13.138640260631002, 6.502928463648835, 5.604651295085936, 4.346514974851394, 6.416473008956669, 4.941817195048309, 2.796639326131688, 1.2040389585822384, 0.0), # 109
(17.007393988191087, 13.17237405416169, 13.95253022119342, 14.784199501811596, 12.809156378600825, 6.071087677183356, 5.57823339212228, 4.62980109739369, 6.556513203017833, 2.726399176954733, 2.120256290979975, 1.2471527326546823, 0.0, 17.18668499228395, 13.718680059201501, 10.601281454899876, 8.179197530864197, 13.113026406035665, 6.4817215363511655, 5.57823339212228, 4.336491197988112, 6.404578189300413, 4.928066500603866, 2.790506044238684, 1.1974885503783357, 0.0), # 110
(16.953997101449275, 13.10064811827957, 13.921663194444447, 14.742974592391306, 12.785424836601308, 6.0573808641975315, 5.551881886087768, 4.615064814814815, 6.543815740740741, 2.715856732026144, 2.1120339712918663, 1.2432914230019496, 0.0, 17.151848958333336, 13.676205653021444, 10.56016985645933, 8.147570196078432, 13.087631481481482, 6.461090740740741, 5.551881886087768, 4.326700617283951, 6.392712418300654, 4.914324864130436, 2.78433263888889, 1.1909680107526885, 0.0), # 111
(16.90117219538379, 13.029284906411787, 13.890601723251033, 14.701805117753622, 12.76178044057129, 6.044031252857797, 5.5256063215409625, 4.60074828532236, 6.531239266117969, 2.7052912805616076, 2.103969227361333, 1.2394301133492167, 0.0, 17.11722125771605, 13.633731246841382, 10.519846136806663, 8.115873841684822, 13.062478532235938, 6.441047599451304, 5.5256063215409625, 4.3171651806127125, 6.380890220285645, 4.900601705917875, 2.778120344650207, 1.1844804460374354, 0.0), # 112
(16.84890760266548, 12.958437720996821, 13.859426742378105, 14.660775741364255, 12.738210816208445, 6.03106325767524, 5.499473367291093, 4.586889426585454, 6.518827686755172, 2.694737131475729, 2.0960771718458604, 1.2355789404756645, 0.0, 17.0827990215178, 13.591368345232306, 10.480385859229301, 8.084211394427186, 13.037655373510344, 6.421645197219636, 5.499473367291093, 4.307902326910885, 6.369105408104223, 4.886925247121419, 2.7718853484756214, 1.178039792817893, 0.0), # 113
(16.796665616220118, 12.888805352817133, 13.828568512532428, 14.620215718724406, 12.71447202547959, 6.018447338956397, 5.473816387569522, 4.57365844462884, 6.506771421427836, 2.684391825560753, 2.0883733011339594, 1.2317868258169462, 0.0, 17.048295745488062, 13.549655083986407, 10.441866505669795, 8.053175476682258, 13.013542842855673, 6.403121822480377, 5.473816387569522, 4.298890956397426, 6.357236012739795, 4.873405239574803, 2.7657137025064857, 1.1717095775288306, 0.0), # 114
(16.744292825407193, 12.820412877827026, 13.798045399060976, 14.580114081995404, 12.690489213466321, 6.006150688123703, 5.448653685172405, 4.561051990709032, 6.495074987201274, 2.674271397594635, 2.0808463534281283, 1.2280556373838278, 0.0, 17.013611936988678, 13.508612011222104, 10.404231767140642, 8.022814192783905, 12.990149974402549, 6.385472786992645, 5.448653685172405, 4.290107634374073, 6.345244606733161, 4.860038027331802, 2.7596090798121957, 1.165492079802457, 0.0), # 115
(16.691723771827743, 12.753160664131308, 13.767798284975811, 14.540399302859647, 12.666226231660534, 5.994144321151453, 5.423944335775104, 4.549035234674245, 6.483708803536698, 2.6643570113022967, 2.0734817793814444, 1.224378479623102, 0.0, 16.978693067560602, 13.46816327585412, 10.367408896907222, 7.9930710339068884, 12.967417607073395, 6.368649328543944, 5.423944335775104, 4.281531657965324, 6.333113115830267, 4.846799767619883, 2.7535596569951624, 1.1593782421937553, 0.0), # 116
(16.63889299708279, 12.686949079834788, 13.73776805328898, 14.50099985299953, 12.641646931554131, 5.982399254013936, 5.399647415052978, 4.537573346372689, 6.472643289895322, 2.6546298304086586, 2.0662650296469853, 1.2207484569815625, 0.0, 16.943484608744804, 13.428233026797187, 10.331325148234924, 7.963889491225975, 12.945286579790643, 6.352602684921765, 5.399647415052978, 4.2731423242956685, 6.320823465777066, 4.833666617666511, 2.747553610657796, 1.1533590072577082, 0.0), # 117
(16.58573504277338, 12.621678493042284, 13.707895587012551, 14.461844204097451, 12.616715164639011, 5.970886502685445, 5.375721998681383, 4.526631495652572, 6.461848865738361, 2.6450710186386424, 2.0591815548778274, 1.2171586739060027, 0.0, 16.907932032082243, 13.388745412966028, 10.295907774389137, 7.935213055915925, 12.923697731476722, 6.337284093913602, 5.375721998681383, 4.264918930489604, 6.3083575823195055, 4.820614734699151, 2.74157911740251, 1.1474253175492988, 0.0), # 118
(16.532184450500534, 12.557249271858602, 13.678121769158587, 14.422860827835802, 12.591394782407065, 5.9595770831402755, 5.35212716233568, 4.516174852362109, 6.451295950527026, 2.6356617397171678, 2.0522168057270487, 1.2136022348432152, 0.0, 16.87198080911388, 13.349624583275366, 10.261084028635242, 7.906985219151502, 12.902591901054052, 6.322644793306953, 5.35212716233568, 4.256840773671625, 6.295697391203532, 4.807620275945268, 2.7356243538317178, 1.1415681156235096, 0.0), # 119
(16.47817576186529, 12.49356178438856, 13.648387482739144, 14.383978195896983, 12.565649636350196, 5.948442011352714, 5.3288219816912274, 4.506168586349507, 6.440954963722534, 2.626383157369158, 2.045356232847725, 1.2100722442399947, 0.0, 16.835576411380675, 13.31079468663994, 10.226781164238623, 7.879149472107472, 12.881909927445069, 6.308636020889311, 5.3288219816912274, 4.248887150966224, 6.282824818175098, 4.794659398632328, 2.7296774965478288, 1.1357783440353237, 0.0), # 120
(16.423643518468683, 12.430516398736968, 13.618633610766281, 14.345124779963385, 12.539443577960302, 5.937452303297058, 5.305765532423383, 4.49657786746298, 6.430796324786099, 2.6172164353195337, 2.038585286892935, 1.2065618065431336, 0.0, 16.79866431042359, 13.272179871974467, 10.192926434464676, 7.8516493059586, 12.861592649572199, 6.295209014448172, 5.305765532423383, 4.2410373594978985, 6.269721788980151, 4.781708259987796, 2.7237267221532564, 1.1300469453397246, 0.0), # 121
(16.36852226191174, 12.368013483008635, 13.588801036252066, 14.306229051717406, 12.51274045872928, 5.926578974947596, 5.282916890207506, 4.487367865550737, 6.420790453178933, 2.6081427372932153, 2.0318894185157554, 1.2030640261994254, 0.0, 16.761189977783587, 13.233704288193676, 10.159447092578777, 7.824428211879645, 12.841580906357866, 6.282315011771032, 5.282916890207506, 4.2332706963911395, 6.25637022936464, 4.768743017239136, 2.7177602072504135, 1.1243648620916942, 0.0), # 122
(16.312746533795494, 12.305953405308378, 13.558830642208555, 14.267219482841437, 12.485504130149028, 5.915793042278621, 5.260235130718955, 4.478503750460988, 6.410907768362252, 2.5991432270151247, 2.0252540783692634, 1.1995720076556633, 0.0, 16.72309888500163, 13.195292084212294, 10.126270391846315, 7.797429681045372, 12.821815536724504, 6.269905250645383, 5.260235130718955, 4.225566458770444, 6.242752065074514, 4.755739827613813, 2.711766128441711, 1.1187230368462162, 0.0), # 123
(16.256250875720976, 12.244236533741004, 13.528663311647806, 14.228024545017881, 12.457698443711445, 5.905065521264426, 5.237679329633088, 4.469950692041945, 6.401118689797269, 2.590199068210183, 2.018664717106536, 1.1960788553586414, 0.0, 16.68433650361868, 13.156867408945052, 10.09332358553268, 7.770597204630548, 12.802237379594539, 6.257930968858723, 5.237679329633088, 4.217903943760304, 6.2288492218557225, 4.742674848339295, 2.7057326623295617, 1.1131124121582732, 0.0), # 124
(16.198969829289226, 12.18276323641133, 13.498239927581887, 14.188572709929128, 12.429287250908427, 5.894367427879304, 5.215208562625265, 4.461673860141818, 6.391393636945196, 2.5812914246033105, 2.012106785380651, 1.1925776737551523, 0.0, 16.644848305175692, 13.118354411306674, 10.060533926903252, 7.74387427380993, 12.782787273890392, 6.246343404198546, 5.215208562625265, 4.210262448485217, 6.2146436254542134, 4.7295242366430434, 2.6996479855163775, 1.1075239305828484, 0.0), # 125
(16.14083793610127, 12.121433881424165, 13.46750137302285, 14.148792449257574, 12.400234403231872, 5.883669778097547, 5.192781905370843, 4.453638424608819, 6.381703029267251, 2.57240145991943, 2.005565733844684, 1.1890615672919902, 0.0, 16.604579761213643, 13.079677240211891, 10.02782866922342, 7.717204379758288, 12.763406058534501, 6.235093794452347, 5.192781905370843, 4.202621270069677, 6.200117201615936, 4.716264149752526, 2.69350027460457, 1.1019485346749243, 0.0), # 126
(16.08178973775815, 12.06014883688432, 13.436388530982757, 14.108612234685616, 12.370503752173677, 5.872943587893444, 5.170358433545185, 4.445809555291159, 6.3720172862246445, 2.563510337883461, 1.9990270131517138, 1.1855236404159475, 0.0, 16.56347634327348, 13.040760044575421, 9.99513506575857, 7.690531013650382, 12.744034572449289, 6.224133377407623, 5.170358433545185, 4.194959705638174, 6.185251876086839, 4.702870744895206, 2.6872777061965514, 1.0963771669894837, 0.0), # 127
(16.021759775860883, 11.998808470896611, 13.404842284473675, 14.06796053789565, 12.340059149225747, 5.862159873241292, 5.147897222823644, 4.438152422037048, 6.362306827278591, 2.554599222220326, 1.9924760739548175, 1.1819569975738184, 0.0, 16.521483522896165, 13.001526973312, 9.962380369774086, 7.663797666660978, 12.724613654557182, 6.2134133908518665, 5.147897222823644, 4.187257052315209, 6.170029574612873, 4.689320179298551, 2.680968456894735, 1.0908007700815103, 0.0), # 128
(15.960682592010507, 11.937313151565847, 13.37280351650766, 14.026765830570064, 12.308864445879973, 5.85128965011538, 5.125357348881582, 4.430632194694696, 6.352542071890305, 2.5456492766549457, 1.9858983669070716, 1.1783547432123955, 0.0, 16.478546771622668, 12.96190217533635, 9.929491834535357, 7.636947829964836, 12.70508414378061, 6.202885072572574, 5.125357348881582, 4.179492607225272, 6.154432222939986, 4.675588610190022, 2.6745607033015326, 1.0852102865059863, 0.0), # 129
(15.89849272780806, 11.875563246996844, 13.34021311009677, 13.984956584391266, 12.276883493628256, 5.840303934489999, 5.102697887394356, 4.423214043112313, 6.342693439521001, 2.536641664912241, 1.9792793426615536, 1.174709981778473, 0.0, 16.434611560993947, 12.921809799563201, 9.896396713307768, 7.609924994736723, 12.685386879042001, 6.192499660357238, 5.102697887394356, 4.171645667492856, 6.138441746814128, 4.66165219479709, 2.668042622019354, 1.0795966588178951, 0.0), # 130
(15.83512472485457, 11.81345912529441, 13.307011948253072, 13.942461271041642, 12.244080143962494, 5.829173742339445, 5.079877914037328, 4.415863137138113, 6.332731349631892, 2.527557550717134, 1.9726044518713404, 1.1710158177188439, 0.0, 16.38962336255096, 12.88117399490728, 9.863022259356702, 7.5826726521514, 12.665462699263784, 6.182208391993358, 5.079877914037328, 4.16369553024246, 6.122040071981247, 4.647487090347215, 2.6614023896506143, 1.073950829572219, 0.0), # 131
(15.770513124751067, 11.750901154563357, 13.27314091398862, 13.899208362203591, 12.210418248374584, 5.817870089638008, 5.056856504485853, 4.408544646620305, 6.322626221684192, 2.5183780977945447, 1.9658591451895095, 1.1672653554803014, 0.0, 16.343527647834676, 12.839918910283313, 9.829295725947548, 7.555134293383633, 12.645252443368385, 6.171962505268427, 5.056856504485853, 4.155621492598577, 6.105209124187292, 4.633069454067865, 2.654628182797724, 1.0682637413239418, 0.0), # 132
(15.704592469098595, 11.687789702908498, 13.238540890315475, 13.855126329559509, 12.175861658356425, 5.80636399235998, 5.03359273441529, 4.4012237414071, 6.312348475139116, 2.509084469869395, 1.9590288732691383, 1.1634516995096391, 0.0, 16.296269888386057, 12.797968694606027, 9.795144366345692, 7.527253409608184, 12.624696950278231, 6.1617132379699395, 5.03359273441529, 4.1474028516857, 6.087930829178212, 4.618375443186504, 2.647708178063095, 1.0625263366280455, 0.0), # 133
(15.63729729949817, 11.624025138434646, 13.203152760245707, 13.81014364479179, 12.14037422539991, 5.794626466479654, 5.010045679501001, 4.3938655913467075, 6.301868529457877, 2.499657830666606, 1.952099086763304, 1.1595679542536501, 0.0, 16.24779555574605, 12.755247496790147, 9.76049543381652, 7.498973491999817, 12.603737058915755, 6.151411827885391, 5.010045679501001, 4.139018904628324, 6.070187112699955, 4.6033812149305975, 2.6406305520491418, 1.0567295580395135, 0.0), # 134
(15.568562157550836, 11.559507829246614, 13.166917406791363, 13.764188779582833, 12.103919800996945, 5.7826285279713225, 4.986174415418341, 4.3864353662873405, 6.291156804101687, 2.4900793439110998, 1.945055236325083, 1.155607224159128, 0.0, 16.198050121455637, 12.711679465750406, 9.725276181625414, 7.470238031733298, 12.582313608203375, 6.141009512802277, 4.986174415418341, 4.130448948550945, 6.051959900498472, 4.588062926527612, 2.633383481358273, 1.0508643481133288, 0.0), # 135
(15.498321584857623, 11.494138143449213, 13.129775712964513, 13.717190205615022, 12.066462236639419, 5.770341192809277, 4.961938017842671, 4.378898236077208, 6.280183718531764, 2.4803301733277956, 1.9378827726075534, 1.1515626136728663, 0.0, 16.146979057055766, 12.667188750401527, 9.689413863037766, 7.4409905199833855, 12.560367437063528, 6.130457530508091, 4.961938017842671, 4.121672280578055, 6.033231118319709, 4.572396735205008, 2.6259551425929026, 1.044921649404474, 0.0), # 136
(15.426510123019561, 11.427816449147253, 13.091668561777217, 13.66907639457077, 12.02796538381924, 5.757735476967808, 4.93729556244935, 4.371219370564522, 6.2689196922093195, 2.4703914826416162, 1.930567146263792, 1.1474272272416581, 0.0, 16.094527834087398, 12.621699499658236, 9.652835731318959, 7.411174447924847, 12.537839384418639, 6.119707118790331, 4.93729556244935, 4.112668197834148, 6.01398269190962, 4.556358798190257, 2.6183337123554433, 1.0388924044679322, 0.0), # 137
(15.353062313637686, 11.360443114445548, 13.052536836241526, 13.619775818132457, 11.988393094028304, 5.744782396421213, 4.912206124913734, 4.363363939597493, 6.257335144595569, 2.4602444355774815, 1.9230938079468758, 1.143194169312297, 0.0, 16.040641924091503, 12.575135862435264, 9.615469039734378, 7.380733306732443, 12.514670289191137, 6.10870951543649, 4.912206124913734, 4.103415997443723, 5.994196547014152, 4.5399252727108195, 2.6105073672483052, 1.0327675558586864, 0.0), # 138
(15.277912698313022, 11.29191850744891, 13.01232141936951, 13.569216947982484, 11.947709218758497, 5.731452967143778, 4.886628780911184, 4.355297113024331, 6.245400495151722, 2.449870195860314, 1.9154482083098823, 1.1388565443315761, 0.0, 15.985266798609034, 12.527421987647335, 9.577241041549412, 7.3496105875809405, 12.490800990303445, 6.0974159582340635, 4.886628780911184, 4.093894976531271, 5.973854609379249, 4.523072315994162, 2.602464283873902, 1.0265380461317193, 0.0), # 139
(15.200995818646616, 11.22214299626215, 12.970963194173232, 13.51732825580325, 11.905877609501736, 5.717718205109798, 4.860522606117057, 4.346984060693248, 6.233086163338999, 2.439249927215034, 1.9076157980058883, 1.134407456746289, 0.0, 15.928347929180966, 12.478482024209175, 9.538078990029442, 7.3177497816451, 12.466172326677999, 6.085777684970546, 4.860522606117057, 4.084084432221284, 5.952938804750868, 4.505776085267751, 2.5941926388346466, 1.020194817842014, 0.0), # 140
(15.122246216239494, 11.151016948990085, 12.92840304366474, 13.464038213277146, 11.862862117749902, 5.7035491262935665, 4.833846676206716, 4.338389952452453, 6.220362568618608, 2.4283647933665637, 1.8995820276879718, 1.129840011003229, 0.0, 15.869830787348244, 12.428240121035515, 9.497910138439858, 7.2850943800996895, 12.440725137237216, 6.073745933433434, 4.833846676206716, 4.0739636616382615, 5.931431058874951, 4.48801273775905, 2.5856806087329485, 1.0137288135445532, 0.0), # 141
(15.041598432692682, 11.07844073373752, 12.884581850856106, 13.409275292086573, 11.818626594994903, 5.688916746669374, 4.806560066855513, 4.329479958150158, 6.207200130451765, 2.417195958039823, 1.8913323480092095, 1.1251473115491895, 0.0, 15.80966084465184, 12.37662042704108, 9.456661740046046, 7.251587874119467, 12.41440026090353, 6.061271941410222, 4.806560066855513, 4.063511961906696, 5.909313297497452, 4.469758430695525, 2.5769163701712214, 1.00713097579432, 0.0), # 142
(14.958987009607215, 11.004314718609267, 12.839440498759389, 13.352967963913915, 11.773134892728635, 5.673792082211512, 4.778621853738811, 4.320219247634575, 6.1935692682996875, 2.405724584959734, 1.8828522096226783, 1.1203224628309636, 0.0, 15.747783572632711, 12.323547091140597, 9.41426104811339, 7.217173754879202, 12.387138536599375, 6.048306946688404, 4.778621853738811, 4.05270863015108, 5.886567446364317, 4.45098932130464, 2.5678880997518783, 1.0003922471462972, 0.0), # 143
(14.874346488584132, 10.928539271710147, 12.792919870386642, 13.29504470044158, 11.726350862442994, 5.658146148894274, 4.749991112531969, 4.310572990753912, 6.1794404016235855, 2.3939318378512175, 1.8741270631814555, 1.115358569295345, 0.0, 15.684144442831826, 12.268944262248793, 9.370635315907277, 7.181795513553651, 12.358880803247171, 6.034802187055478, 4.749991112531969, 4.04153296349591, 5.863175431221497, 4.431681566813861, 2.5585839740773286, 0.993503570155468, 0.0), # 144
(14.787611411224459, 10.851014761144963, 12.744960848749933, 13.235433973351956, 11.67823835562988, 5.641949962691953, 4.7206269189103445, 4.300506357356382, 6.164783949884672, 2.381798880439195, 1.865142359338619, 1.110248735389127, 0.0, 15.618688926790139, 12.212736089280396, 9.325711796693094, 7.145396641317584, 12.329567899769344, 6.020708900298935, 4.7206269189103445, 4.029964259065681, 5.83911917781494, 4.411811324450653, 2.548992169749987, 0.986455887376815, 0.0), # 145
(14.69871631912923, 10.771641555018533, 12.695504316861326, 13.174064254327444, 11.62876122378119, 5.62517453957884, 4.690488348549297, 4.289984517290195, 6.1495703325441635, 2.3693068764485874, 1.8558835487472447, 1.104986065559103, 0.0, 15.551362496048613, 12.154846721150133, 9.279417743736223, 7.107920629345761, 12.299140665088327, 6.005978324206273, 4.690488348549297, 4.0179818139848855, 5.814380611890595, 4.391354751442482, 2.539100863372265, 0.9792401413653213, 0.0), # 146
(14.607595753899481, 10.690320021435666, 12.644491157732865, 13.110864015050435, 11.577883318388821, 5.607790895529226, 4.659534477124183, 4.278972640403562, 6.133769969063274, 2.3564369896043162, 1.846336082060411, 1.0995636642520668, 0.0, 15.482110622148213, 12.095200306772732, 9.231680410302054, 7.069310968812948, 12.267539938126548, 5.990561696564987, 4.659534477124183, 4.005564925378019, 5.7889416591944105, 4.370288005016812, 2.5288982315465733, 0.9718472746759697, 0.0), # 147
(14.51418425713624, 10.606950528501175, 12.591862254376625, 13.045761727203324, 11.525568490944673, 5.5897700465174065, 4.627724380310364, 4.2674358965446935, 6.1173532789032175, 2.3431703836313016, 1.836485409931195, 1.0939746359148106, 0.0, 15.410878776629895, 12.033720995062914, 9.182427049655974, 7.029511150893903, 12.234706557806435, 5.974410255162571, 4.627724380310364, 3.9926928903695758, 5.762784245472337, 4.348587242401109, 2.5183724508753254, 0.9642682298637433, 0.0), # 148
(14.418416370440541, 10.52143344431987, 12.537558489804665, 12.97868586246851, 11.471780592940643, 5.57108300851767, 4.595017133783196, 4.255339455561801, 6.100290681525203, 2.3294882222544664, 1.8263169830126733, 1.0882120849941288, 0.0, 15.337612431034628, 11.970332934935415, 9.131584915063366, 6.988464666763398, 12.200581363050405, 5.957475237786521, 4.595017133783196, 3.9793450060840496, 5.735890296470322, 4.326228620822837, 2.507511697960933, 0.9564939494836247, 0.0), # 149
(14.320226635413416, 10.433669136996565, 12.481520747029043, 12.909564892528387, 11.416483475868631, 5.551700797504312, 4.561371813218041, 4.242648487303093, 6.0825525963904505, 2.31537166919873, 1.815816251957923, 1.0822691159368145, 0.0, 15.262257056903364, 11.904960275304958, 9.079081259789614, 6.946115007596189, 12.165105192780901, 5.93970788222433, 4.561371813218041, 3.9655005696459367, 5.7082417379343156, 4.303188297509463, 2.4963041494058085, 0.948515376090597, 0.0), # 150
(14.219549593655895, 10.343557974636072, 12.423689909061814, 12.838327289065347, 11.359640991220532, 5.531594429451621, 4.526747494290255, 4.229328161616783, 6.064109442960174, 2.3008018881890155, 1.8049686674200216, 1.0761388331896609, 0.0, 15.184758125777073, 11.837527165086268, 9.024843337100108, 6.902405664567045, 12.128218885920347, 5.921059426263496, 4.526747494290255, 3.951138878179729, 5.679820495610266, 4.27944242968845, 2.484737981812363, 0.9403234522396431, 0.0), # 151
(14.116319786769019, 10.251000325343204, 12.364006858915053, 12.76490152376179, 11.301216990488243, 5.510734920333892, 4.491103252675198, 4.215343648351081, 6.044931640695582, 2.2857600429502427, 1.7937596800520466, 1.0698143411994616, 0.0, 15.105061109196717, 11.767957753194075, 8.968798400260232, 6.857280128850727, 12.089863281391164, 5.901481107691514, 4.491103252675198, 3.936239228809923, 5.650608495244121, 4.254967174587264, 2.4728013717830106, 0.931909120485746, 0.0), # 152
(14.010471756353809, 10.155896557222773, 12.302412479600802, 12.68921606830011, 11.241175325163667, 5.489093286125417, 4.454398164048228, 4.200660117354197, 6.024989609057894, 2.2702272972073336, 1.782174740507075, 1.0632887444130097, 0.0, 15.02311147870325, 11.696176188543106, 8.910873702535374, 6.810681891622, 12.049979218115787, 5.880924164295876, 4.454398164048228, 3.920780918661012, 5.620587662581833, 4.229738689433371, 2.4604824959201608, 0.9232633233838886, 0.0), # 153
(13.901940044011312, 10.05814703837959, 12.238847654131138, 12.611199394362703, 11.179479846738696, 5.466640542800487, 4.416591304084705, 4.185242738474343, 6.00425376750832, 2.254184814685209, 1.7701992994381837, 1.0565551472770989, 0.0, 14.938854705837642, 11.622106620048086, 8.850996497190918, 6.762554444055626, 12.00850753501664, 5.85933983386408, 4.416591304084705, 3.904743244857491, 5.589739923369348, 4.203733131454236, 2.447769530826228, 0.9143770034890537, 0.0), # 154
(13.790659191342543, 9.957652136918465, 12.173253265518113, 12.530779973631962, 11.116094406705237, 5.443347706333395, 4.377641748459985, 4.169056681559727, 5.982694535508077, 2.23761375910879, 1.7578188074984502, 1.0496066542385225, 0.0, 14.852236262140847, 11.545673196623744, 8.789094037492251, 6.712841277326369, 11.965389071016155, 5.836679354183619, 4.377641748459985, 3.8881055045238533, 5.5580472033526185, 4.176926657877321, 2.4346506531036227, 0.9052411033562243, 0.0), # 155
(13.676563739948545, 9.854312220944214, 12.10557019677379, 12.447886277790282, 11.050982856555176, 5.419185792698435, 4.33750857284943, 4.152067116458564, 5.960282332518376, 2.220495294202998, 1.7450187153409518, 1.0424363697440735, 0.0, 14.763201619153833, 11.466800067184806, 8.725093576704758, 6.661485882608993, 11.920564665036752, 5.81289396304199, 4.33750857284943, 3.870846994784596, 5.525491428277588, 4.149295425930095, 2.4211140393547583, 0.8958465655403832, 0.0), # 156
(13.559588231430352, 9.748027658561648, 12.035739330910227, 12.362446778520066, 10.984109047780422, 5.394125817869895, 4.296150852928397, 4.134239213019062, 5.9369875780004335, 2.202810583692754, 1.731784473618765, 1.0350373982405456, 0.0, 14.671696248417557, 11.385411380646001, 8.658922368093824, 6.60843175107826, 11.873975156000867, 5.787934898226687, 4.296150852928397, 3.8529470127642105, 5.492054523890211, 4.120815592840023, 2.407147866182046, 0.8861843325965136, 0.0), # 157
(13.43642570352943, 9.636747649274225, 11.960387930853534, 12.27118893522918, 10.912417327045198, 5.366575700132966, 4.252596048835072, 4.1143477142620295, 5.910997254959458, 2.1840146623310153, 1.717678725761683, 1.027139934629151, 0.0, 14.573674546947622, 11.298539280920659, 8.588393628808413, 6.552043986993045, 11.821994509918916, 5.7600867999668415, 4.252596048835072, 3.833268357237833, 5.456208663522599, 4.090396311743061, 2.3920775861707066, 0.8760679681158388, 0.0), # 158
(13.288116180561124, 9.509057777339137, 11.860106727604483, 12.155369164364412, 10.818229571737954, 5.327374130407459, 4.201391487047145, 4.085410149573287, 5.871856356733287, 2.161026447344436, 1.7002250806856987, 1.0172043785524665, 0.0, 14.445769764456351, 11.189248164077128, 8.501125403428492, 6.483079342033307, 11.743712713466573, 5.719574209402602, 4.201391487047145, 3.8052672360053275, 5.409114785868977, 4.051789721454805, 2.372021345520897, 0.8644597979399218, 0.0), # 159
(13.112769770827757, 9.363909602092178, 11.732881436933834, 12.013079639051961, 10.699704157616154, 5.275558360850069, 4.142019373545406, 4.04669939214551, 5.818455136337191, 2.1335425433383026, 1.6791778525828622, 1.0050752923331772, 0.0, 14.285557096008445, 11.055828215664945, 8.39588926291431, 6.400627630014906, 11.636910272674381, 5.665379149003714, 4.142019373545406, 3.7682559720357633, 5.349852078808077, 4.004359879683988, 2.346576287386767, 0.8512645092811072, 0.0), # 160
(12.911799698254727, 9.202249432332774, 11.580070457865464, 11.845672880071582, 10.558071749138534, 5.21175610364883, 4.0749133014061885, 3.9987003998323356, 5.751497860199411, 2.101796186926922, 1.6547224963799123, 0.9908651203361357, 0.0, 14.094673280674375, 10.899516323697492, 8.273612481899562, 6.305388560780765, 11.502995720398822, 5.59818055976527, 4.0749133014061885, 3.722682931177736, 5.279035874569267, 3.9485576266905285, 2.3160140915730927, 0.8365681302120704, 0.0), # 161
(12.686619186767443, 9.025023576860344, 11.403032189423245, 11.654501408203041, 10.394563010763845, 5.1365950709917785, 4.000506863705828, 3.941898130487402, 5.6716887947481816, 2.0660206147246045, 1.6270444670035862, 0.9746863069261941, 0.0, 13.874755057524599, 10.721549376188133, 8.13522233501793, 6.198061844173813, 11.343377589496363, 5.518657382682362, 4.000506863705828, 3.668996479279842, 5.197281505381922, 3.884833802734348, 2.280606437884649, 0.8204566888054858, 0.0), # 162
(12.438641460291295, 8.833178344474314, 11.203125030631053, 11.44091774422611, 10.210408606950825, 5.050702975066952, 3.919233653520661, 3.876777541964344, 5.579732206411743, 2.0264490633456567, 1.5963292193806227, 0.956651296468205, 0.0, 13.627439165629584, 10.523164261150253, 7.9816460969031136, 6.079347190036969, 11.159464412823485, 5.427488558750082, 3.919233653520661, 3.6076449821906795, 5.105204303475412, 3.813639248075371, 2.2406250061262107, 0.8030162131340287, 0.0), # 163
(12.16927974275169, 8.627660043974105, 10.981707380512765, 11.206274408920553, 10.006839202158226, 4.954707528062387, 3.8315272639270197, 3.8038235921168018, 5.476332361618334, 1.9833147694043862, 1.562762208437759, 0.9368725333270206, 0.0, 13.35436234405979, 10.305597866597225, 7.813811042188794, 5.949944308213158, 10.952664723236667, 5.325353028963523, 3.8315272639270197, 3.5390768057588473, 5.003419601079113, 3.735424802973519, 2.1963414761025533, 0.7843327312703733, 0.0), # 164
(11.879947258074031, 8.409414984159142, 10.740137638092254, 10.95192392306614, 9.785085460844787, 4.849236442166116, 3.7378212880012396, 3.7235212387984102, 5.3621935267961875, 1.9368509695151015, 1.5265288891017337, 0.915462461867493, 0.0, 13.057161331885686, 10.070087080542422, 7.632644445508667, 5.810552908545303, 10.724387053592375, 5.2129297343177745, 3.7378212880012396, 3.4637403158329394, 4.892542730422393, 3.6506413076887143, 2.148027527618451, 0.7644922712871949, 0.0), # 165
(11.572057230183715, 8.17938947382885, 10.479774202393392, 10.679218807442627, 9.546378047469258, 4.734917429566179, 3.6385493188196576, 3.636355439862808, 5.2380199683735436, 1.8872909002921108, 1.4878147162992839, 0.8925335264544754, 0.0, 12.737472868177733, 9.817868790999228, 7.4390735814964195, 5.661872700876331, 10.476039936747087, 5.090897615807931, 3.6385493188196576, 3.3820838782615565, 4.773189023734629, 3.5597396024808767, 2.0959548404786785, 0.7435808612571683, 0.0), # 166
(11.24702288300614, 7.938529821782648, 10.201975472440058, 10.389511582829789, 9.291947626490376, 4.6123782024506115, 3.5341449494586072, 3.542811153163632, 5.104515952778639, 1.834867798349722, 1.4468051449571482, 0.8681981714528189, 0.0, 12.396933692006392, 9.550179885981006, 7.23402572478574, 5.504603395049164, 10.209031905557278, 4.959935614429085, 3.5341449494586072, 3.2945558588932937, 4.645973813245188, 3.4631705276099303, 2.040395094488012, 0.7216845292529681, 0.0), # 167
(10.906257440466712, 7.687782336819962, 9.908099847256123, 10.084154770007387, 9.023024862366888, 4.482246473007449, 3.425041772994424, 3.44337333655452, 4.962385746439713, 1.779814900302243, 1.4036856300020644, 0.8425688412273767, 0.0, 12.037180542442131, 9.268257253501142, 7.018428150010321, 5.339444700906728, 9.924771492879426, 4.820722671176328, 3.425041772994424, 3.2016046235767495, 4.511512431183444, 3.361384923335797, 1.9816199694512246, 0.6988893033472693, 0.0), # 168
(10.551174126490828, 7.428093327740216, 9.599505725865463, 9.76450088975519, 8.740840419557543, 4.3451499534247295, 3.3116733825034426, 3.338526947889109, 4.812333615785002, 1.7223654427639818, 1.3586416263607706, 0.8157579801430009, 0.0, 11.659850158555415, 8.97333778157301, 6.793208131803853, 5.167096328291944, 9.624667231570005, 4.673937727044753, 3.3116733825034426, 3.103678538160521, 4.370420209778771, 3.254833629918398, 1.9199011451730927, 0.675281211612747, 0.0), # 169
(10.18318616500389, 7.160409103342831, 9.277551507291953, 9.43190246285296, 8.44662496252108, 4.201716355890488, 3.1944733710619975, 3.228756945021036, 4.655063827242743, 1.6627526623492466, 1.311858588960005, 0.7878780325645439, 0.0, 11.2665792794167, 8.666658358209983, 6.559292944800025, 4.988257987047739, 9.310127654485486, 4.52025972302945, 3.1944733710619975, 3.0012259684932054, 4.22331248126054, 3.1439674876176547, 1.8555103014583907, 0.6509462821220756, 0.0), # 170
(9.8037067799313, 6.88567597242723, 8.943595590559468, 9.087712010080473, 8.141609155716246, 4.052573392592758, 3.0738753317464247, 3.1145482858039375, 4.491280647241173, 1.6012097956723452, 1.2635219727265048, 0.759041442856858, 0.0, 10.859004644096458, 8.349455871425437, 6.317609863632523, 4.803629387017034, 8.982561294482347, 4.360367600125513, 3.0738753317464247, 2.8946952804233987, 4.070804577858123, 3.029237336693492, 1.7887191181118935, 0.6259705429479302, 0.0), # 171
(9.414149195198457, 6.604840243792839, 8.59899637469188, 8.733282052217486, 7.827023663601784, 3.898348775719581, 2.950312857633059, 2.996385928091453, 4.321688342208532, 1.5379700793475863, 1.2138172325870082, 0.7293606553847958, 0.0, 10.438762991665145, 8.022967209232752, 6.069086162935041, 4.613910238042758, 8.643376684417063, 4.194940299328034, 2.950312857633059, 2.7845348397997007, 3.913511831800892, 2.911094017405829, 1.7197992749383764, 0.6004400221629854, 0.0), # 172
(9.015926634730764, 6.31884822623908, 8.245112258713068, 8.369965110043767, 7.504099150636442, 3.739670217458989, 2.824219541798235, 2.874754829737218, 4.146991178573053, 1.4732667499892769, 1.1629298234682535, 0.6989481145132089, 0.0, 10.007491061193234, 7.6884292596452966, 5.8146491173412675, 4.41980024996783, 8.293982357146106, 4.024656761632105, 2.824219541798235, 2.6711930124707064, 3.752049575318221, 2.7899883700145893, 1.6490224517426137, 0.5744407478399164, 0.0), # 173
(8.610452322453618, 6.028646228565374, 7.883301641646902, 7.99911370433908, 7.174066281278959, 3.57716542999902, 2.6960289773182877, 2.7501399485948705, 3.9678934227629785, 1.4073330442117262, 1.1110452002969786, 0.6679162646069503, 0.0, 9.566825591751181, 7.347078910676452, 5.555226001484892, 4.221999132635178, 7.935786845525957, 3.850195928032819, 2.6960289773182877, 2.5551181642850143, 3.5870331406394795, 2.6663712347796937, 1.5766603283293805, 0.5480587480513978, 0.0), # 174
(8.19913948229242, 5.7351805595711465, 7.514922922517262, 7.622080355883197, 6.838155719988082, 3.41146212552771, 2.566174757269552, 2.623026242518047, 3.7850993412065432, 1.3404021986292411, 1.058348817999921, 0.6363775500308723, 0.0, 9.118403322409455, 7.000153050339593, 5.291744089999604, 4.021206595887723, 7.5701986824130865, 3.6722367395252657, 2.566174757269552, 2.4367586610912215, 3.419077859994041, 2.540693451961066, 1.5029845845034526, 0.5213800508701043, 0.0), # 175
(7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), # 176
(7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), # 177
(6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 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
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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), # 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
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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), # 135
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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), # 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
71, # 1
)
|
num = [0 for n in range(4)]
for i in range(4):
num[i] = int(input(""))
failed = False
if (num[0] == 8 or num[0] == 9) and (num[3] == 8 or num[3] == 9) and (num[1] == num[2]):
print("ignore")
else:
print("answer") |
'''
05 - Regression plot parameters
Seaborn's regression plot supports several parameters that can be
used to configure the plots and drive more insight into the data.
For the next exercise, we can look at the relationship between tuition
and the percent of students that receive Pell grants. A Pell grant is
based on student financial need and subsidized by the US Government. In
this data set, each University has some percentage of students that receive
these grants. Since this data is continuous, using x_bins can be useful to
break the percentages into categories in order to summarize and understand
the data.
'''
# 1 - Plot a regression plot of Tuition and the Percentage of Pell Grants
sns.regplot(data=df,
y='Tuition',
x="PCTPELL")
plt.show()
plt.clf()
# 2 - Create another plot that estimates the tuition by PCTPELL
sns.regplot(data=df,
y='Tuition',
x="PCTPELL",
x_bins=5)
plt.show()
plt.clf()
# 3 - Create another plot that estimates the tuition by PCTPELL
sns.regplot(data=df,
y='Tuition',
x="PCTPELL",
x_bins=5)
plt.show()
plt.clf()
|
# coding: utf-8
class Confirm(object):
def __init__(self, assume_yes=False):
self.assume_yes = assume_yes
def ask(self):
if self.assume_yes:
return True
message = '\n==> Press "Y" to confirm, or anything else to abort: '
confirmation = input(message)
return True if str(confirmation).lower() == "y" else False
|
class Node:
def __init__(self, value=None, next_node=None):
self.value = value
self.next = next_node
def add_node(self, node):
self.next = node
def remove_next_node(self):
self.next = None
def add_value(self, value):
self.value = value
|
class Attribute(object):
"""
Args:
target (str): the attribute name in the batch
source (str): the key in the example dict
field (:class:`Field`): the field for target attribute
include_valid (bool): if True, the validation
dataset vocab will be included.
include_test (bool): if True, the testing dataset
vocab will be included
"""
def __init__(self,
target,
source,
field,
include_valid=False,
include_test=False):
self.target = target
self.source = source
self.field = field
self.include_valid = include_valid
self.include_test = include_test
|
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold ( num ) :
length = len ( num )
if ( length == 1 and num [ 0 ] == '0' ) :
return True
if ( length % 3 == 1 ) :
num = str ( num ) + "00"
length += 2
elif ( length % 3 == 2 ) :
num = str ( num ) + "0"
length += 1
sum = 0
p = 1
for i in range ( length - 1 , - 1 , - 1 ) :
group = 0
group += ord ( num [ i ] ) - ord ( '0' )
i -= 1
group += ( ord ( num [ i ] ) - ord ( '0' ) ) * 10
i -= 1
group += ( ord ( num [ i ] ) - ord ( '0' ) ) * 100
sum = sum + group * p
p *= ( - 1 )
sum = abs ( sum )
return ( sum % 13 == 0 )
#TOFILL
if __name__ == '__main__':
param = [
('vzTUaItpCpLnjY',),
('33855',),
('0011110101011',),
('MMQ',),
('439340517954',),
('000000000',),
('UugAuRRJbjEgl',),
('6406553695441',),
('011001',),
('yjFqEEvgiNjEX',)
]
n_success = 0
for i, parameters_set in enumerate(param):
if f_filled(*parameters_set) == f_gold(*parameters_set):
n_success+=1
print("#Results: %i, %i" % (n_success, len(param))) |
class AutoTest:
def __init__(self, solution, funcName, paramNum):
self.solution = solution
self.funcName = funcName
self.paramNum = paramNum
self.tab = ' '
# 外部调用test方法进行自动测试
def test(self, testCases, keyNames):
'''
param testCases: 测试数据，格式为{'cases': [], 'answers': []}
param keyNames: 储存cases和answers中对应的key值名称，格式为[[], []]
'''
assert (isinstance(testCases, dict)) and ('cases' in testCases.keys() and 'answers' in testCases.keys()), 'Wrong Format! parameter \'testCases\' must be a dict which contains key \'cases\' and \'answers\'.'
cases, answers = testCases['cases'], testCases['answers']
assert (isinstance(cases, list) and isinstance(answers, list)) and (len(cases) == len(answers)) and (len(cases) > 0), 'Wrong format! \'cases\' and \'answers\' in \'testCases\' have to be two non-empty lists with same length.'
flag = 1
print('Begin testing.')
cur = 0
try:
for i in range(0, len(cases)):
cur = i
params = []
for j in range(self.paramNum):
params.append(cases[i][keyNames[0][j]])
rtn = getattr(self.solution, self.funcName)(*params)
try:
assert rtn == answers[i][keyNames[1]], self.tab+'case'+str(i+1)+' failed.'
except AssertionError as ae:
print(ae)
flag = 0
except Exception as e:
print(self.tab+'case'+str(cur+1)+' error:', e)
flag = 0
if flag == 1: print(self.tab+'All passed.')
|
s = 0
f1 = 1
f2 = 2
f_old = f1
f_new = f1
while f_new < 4000000:
if f_new % 2 == 0:
s += f_new
f_new_temp = f_new
f_new = f_new_temp + f_old
f_old = f_new_temp
print(s) |
# https://leetcode.com/problems/count-of-smaller-numbers-after-self/discuss/445769/merge-sort-CLEAR-simple-EXPLANATION-with-EXAMPLES-O(n-lg-n)
class Solution:
def countSmaller(self, nums: List[int]) -> List[int]:
def mergeAndCount(arr, start, end, result):
if start >= end:
return
mid = (start + end) // 2
mergeAndCount(arr, start, mid, result)
mergeAndCount(arr, mid + 1, end, result)
left = start
right = mid + 1
numElements = 0
merged = []
while left < mid + 1 and right <= end:
if arr[left][0] > arr[right][0]:
numElements += 1
merged.append(arr[right])
right += 1
else:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while left < mid + 1:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while right <= end:
merged.append(arr[right])
right += 1
position = start
for value in merged:
arr[position] = value
position += 1
for index, value in enumerate(nums):
nums[index] = (value, index)
result = [0 for _ in range(len(nums))]
mergeAndCount(nums, 0, len(nums) - 1, result)
return result
|
class Solution:
def leastBricks(self, wall: List[List[int]]) -> int:
gaps = defaultdict(int)
for row in wall:
position = 0
for brick in row[:-1]:
position += brick
gaps[position] += 1
fewestCrossings = len(wall)
if len(gaps) > 0:
fewestCrossings -= max(gaps.values())
return fewestCrossings |
# python3
n, m = map(int, input().split())
edges = [ list(map(int, input().split())) for i in range(m) ]
# This solution prints a simple satisfiable formula
# and passes about half of the tests.
# Change this function to solve the problem.
def printEquisatisfiableSatFormula():
print("3 2")
print("1 2 0")
print("-1 -2 0")
print("1 -2 0")
printEquisatisfiableSatFormula()
|
SINE = 0
SQUARE = 1
TRI = 2
UP = 3
DOWN = 4
ARB0 = 100
ARB1 = 101
ARB2 = 102
ARB3 = 103
ARB4 = 104
ARB5 = 105
ARB6 = 106
ARB7 = 107
ARB8 = 108
ARB9 = 109
ARB10 = 110
ARB11 = 111
ARB12 = 112
ARB13 = 113
ARB14 = 114
ARB15 = 115
|
N = int(input())
if N <= 999:
print('ABC')
else:
print('ABD')
|
class DtoObject(dict):
@property
def __dict__(self):
return {k: v for k, v in self.items()}
|
"""
Calculate different thread patterns
"""
tx = list(range(0, 256))
#print("sAtx", map(lambda x: (x%2) * 512 + x/2, tx))
print("gmStoreCtx", map(lambda x: (x%16)*2 + (x/16)*16*8, tx))
print("", map(lambda x: (x%16)*2 + (x/16)*16*8 + 32 + 1, tx))
|
expected_output = {
"TenGigabitEthernet1/0/2":{
"port_channel":{
"port_channel_member": False
},
"enabled": True,
"line_protocol":"up",
"oper_status":"up",
"connected": True,
"suspended": False,
"err_disabled": False,
"type":"Ten Gigabit Ethernet",
"mac_address":"682c.7b3f.f002",
"phys_address":"682c.7b3f.f002",
"description":"Nothing",
"delay":10,
"mtu":9000,
"bandwidth":10000000,
"reliability":"255/255",
"txload":"1/255",
"rxload":"1/255",
"encapsulations":{
"encapsulation":"arpa"
},
"keepalive":10,
"duplex_mode":"full",
"port_speed":"10gb/s",
"media_type":"100/1000/2.5G/5G/10GBaseTX",
"flow_control":{
"receive": True,
"send": False
},
"arp_type":"arpa",
"arp_timeout":"04:00:00",
"last_input":"never",
"last_output":"00:00:00",
"output_hang":"never",
"queues":{
"input_queue_size":0,
"input_queue_max":2000,
"input_queue_drops":0,
"input_queue_flushes":0,
"total_output_drop":0,
"queue_strategy":"fifo",
"output_queue_size":0,
"output_queue_max":40
},
"counters":{
"rate":{
"load_interval":30,
"in_rate":16000,
"in_rate_pkts":17,
"out_rate":0,
"out_rate_pkts":0
},
"last_clear":"never",
"in_pkts":8022334658,
"in_octets":697880865309,
"in_no_buffer":0,
"in_multicast_pkts":12712,
"in_broadcast_pkts":12774,
"in_runts":0,
"in_giants":0,
"in_throttles":0,
"in_errors":0,
"in_crc_errors":0,
"in_frame":0,
"in_overrun":0,
"in_ignored":0,
"in_watchdog":0,
"in_mac_pause_frames":0,
"in_with_dribble":0,
"out_pkts":97135086285,
"out_octets":143406430963466,
"out_underruns":0,
"out_errors":0,
"out_interface_resets":2,
"out_collision":0,
"out_unknown_protocl_drops":0,
"out_babble":0,
"out_late_collision":0,
"out_deferred":0,
"out_lost_carrier":0,
"out_no_carrier":0,
"out_mac_pause_frames":0,
"out_buffer_failure":0,
"out_buffers_swapped":0
}
}
} |
#!/usr/bin/env python
names = ('ff','ff','sfs','fdfs')
for name in names:
print(name)
lll = list(range(5))
print(lll)
sum =0
for l in lll:
sum+=l
print(sum)
|
#!/usr/bin/env python3
# Copyright 2009-2017 BHG http://bw.org/
class Aluno:
estuda = "digita os codigos"
boceja = "aaaaahhhh"
def estuda(self):
print(self.estuda)
def boceja(self):
print(self.boceja)
def main():
joao = Aluno()
joao.estuda()
joao.boceja()
if __name__ == '__main__': main() |
__project__ = 'Synerty Peek'
__copyright__ = '2016, Synerty'
__author__ = 'Synerty'
__version__ = '1.0.0'
|
def primesieve(a,n):
global m
N=n
n+=5
prime=[0 for i in range(n+1)]
p=2
while(p*p<=n):
if(prime[p]==0):
for i in range(p*p,n,p):
prime[i]=1
p+=1
c=0
for i in range(a,N+1):
if prime[i]==0:
m.append(i)
c+=1
return (m,c)
a,n=map(int,input().split())
m=[];c=0
print(primesieve(a,n))
|
#
# PySNMP MIB module HIRSCHMANN-DVMRP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HIRSCHMANN-DVMRP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:30:53 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint")
hmPlatform4Multicast, = mibBuilder.importSymbols("HIRSCHMANN-MULTICAST-MIB", "hmPlatform4Multicast")
InterfaceIndex, InterfaceIndexOrZero = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex", "InterfaceIndexOrZero")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
Integer32, Counter32, Unsigned32, Gauge32, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, Bits, TimeTicks, Counter64, IpAddress, MibIdentifier, iso, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "Counter32", "Unsigned32", "Gauge32", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "Bits", "TimeTicks", "Counter64", "IpAddress", "MibIdentifier", "iso", "ObjectIdentity")
RowStatus, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "TextualConvention", "DisplayString")
hmDVMRPMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 248, 15, 4, 100))
hmDVMRPMIB.setRevisions(('2010-04-12 12:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: hmDVMRPMIB.setRevisionsDescriptions(('Initial version.',))
if mibBuilder.loadTexts: hmDVMRPMIB.setLastUpdated('201004121200Z')
if mibBuilder.loadTexts: hmDVMRPMIB.setOrganization('Hirschmann Automation and Control GmbH')
if mibBuilder.loadTexts: hmDVMRPMIB.setContactInfo('Customer Support Postal: Hirschmann Automation and Control GmbH Stuttgarter Str. 45-51 72654 Neckartenzlingen Germany Tel: +49 7127 14 1981 Web: http://www.hicomcenter.com/ E-Mail: hicomcenter@hirschmann.com')
if mibBuilder.loadTexts: hmDVMRPMIB.setDescription('The Hirschmann Private DVMRP MIB definitions for Platform devices.')
hmDVMRPMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1))
hmDVMRP = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1))
hmDVMRPScalar = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1))
hmDVMRPVersionString = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 1), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPVersionString.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPVersionString.setDescription("The router's DVMRP version information. Similar to sysDescr in MIB-II, this is a free-form field which can be used to display vendor-specific information.")
hmDVMRPGenerationId = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPGenerationId.setStatus('obsolete')
if mibBuilder.loadTexts: hmDVMRPGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hmDVMRPNumRoutes = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 3), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNumRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNumRoutes.setDescription('The number of entries in the routing table. This can be used to monitor the routing table size to detect illegal advertisements of unicast routes.')
hmDVMRPReachableRoutes = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 4), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPReachableRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPReachableRoutes.setDescription('The number of entries in the routing table with non infinite metrics. This can be used to detect network partitions by observing the ratio of reachable routes to total routes.')
hmDVMRPUpdateInterval = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 240))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hmDVMRPUpdateInterval.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPUpdateInterval.setDescription('The interval at which the dvmrp route updates (reports) are sent.')
hmDVMRPPruneLifetime = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 64800))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hmDVMRPPruneLifetime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneLifetime.setDescription('The time a prune message sent from this router will be valid.')
hmDVMRPInterfaceTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2), )
if mibBuilder.loadTexts: hmDVMRPInterfaceTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceTable.setDescription("The (conceptual) table listing the router's multicast- capable interfaces.")
hmDVMRPInterfaceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceIfIndex"))
if mibBuilder.loadTexts: hmDVMRPInterfaceEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceEntry.setDescription('An entry (conceptual row) in the hmDVMRPInterfaceTable. This row augments ipMRouteInterfaceEntry in the IP Multicast MIB, where the threshold object resides.')
hmDVMRPInterfaceIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 1), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPInterfaceIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceIfIndex.setDescription('The ifIndex value of the interface for which DVMRP is enabled.')
hmDVMRPInterfaceLocalAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceLocalAddress.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceLocalAddress.setDescription('The IP address this system will use as a source address on this interface. On unnumbered interfaces, it must be the same value as hmDVMRPInterfaceLocalAddress for some interface on the system.')
hmDVMRPInterfaceMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31)).clone(1)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceMetric.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceMetric.setDescription('The distance metric for this interface which is used to calculate distance vectors.')
hmDVMRPInterfaceStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceStatus.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceStatus.setDescription('The status of this entry. Creating the entry enables DVMRP on the interface; destroying the entry disables DVMRP on the interface.')
hmDVMRPInterfaceRcvBadPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadPkts.setDescription('The number of DVMRP messages received on the interface by the DVMRP process which were subsequently discarded as invalid (e.g. invalid packet format, or a route report from an unknown neighbor).')
hmDVMRPInterfaceRcvBadRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets, which were ignored because the entry was invalid.')
hmDVMRPInterfaceSentRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceSentRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceSentRoutes.setDescription('The number of routes, in DVMRP Report packets, which have been sent on this interface. Together with hmDVMRPNeighborRcvRoutes at a peer, this object is useful for detecting routes being lost.')
hmDVMRPInterfaceInterfaceKey = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 8), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKey.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKey.setDescription('The (shared) key for authenticating neighbors on this interface. This object is intended solely for the purpose of setting the interface key, and MUST be accessible only via requests using both authentication and privacy. The agent MAY report an empty string in response to get, get- next, get-bulk requests.')
hmDVMRPInterfaceInterfaceKeyVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 9), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKeyVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKeyVersion.setDescription('The highest version number of all known interface keys for this interface used for authenticating neighbors.')
hmDVMRPInterfaceGenerationId = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 20), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceGenerationId.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hmDVMRPNeighborTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3), )
if mibBuilder.loadTexts: hmDVMRPNeighborTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborTable.setDescription("The (conceptual) table listing the router's DVMRP neighbors, as discovered by receiving DVMRP messages.")
hmDVMRPNeighborEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborIfIndex"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborAddress"))
if mibBuilder.loadTexts: hmDVMRPNeighborEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborEntry.setDescription('An entry (conceptual row) in the hmDVMRPNeighborTable.')
hmDVMRPNeighborIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 1), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPNeighborIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborIfIndex.setDescription('The value of ifIndex for the virtual interface used to reach this DVMRP neighbor.')
hmDVMRPNeighborAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPNeighborAddress.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborAddress.setDescription('The IP address of the DVMRP neighbor for which this entry contains information.')
hmDVMRPNeighborUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 3), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborUpTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborUpTime.setDescription('The time since this DVMRP neighbor (last) became a neighbor of the local router.')
hmDVMRPNeighborExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborExpiryTime.setDescription('The minimum time remaining before this DVMRP neighbor will be aged out.')
hmDVMRPNeighborGenerationId = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborGenerationId.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborGenerationId.setDescription("The neighboring router's generation identifier.")
hmDVMRPNeighborMajorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborMajorVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborMajorVersion.setDescription("The neighboring router's major DVMRP version number.")
hmDVMRPNeighborMinorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborMinorVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborMinorVersion.setDescription("The neighboring router's minor DVMRP version number.")
hmDVMRPNeighborCapabilities = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 8), Bits().clone(namedValues=NamedValues(("leaf", 0), ("prune", 1), ("generationID", 2), ("mtrace", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborCapabilities.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborCapabilities.setDescription("This object describes the neighboring router's capabilities. The leaf bit indicates that the neighbor has only one interface with neighbors. The prune bit indicates that the neighbor supports pruning. The generationID bit indicates that the neighbor sends its generationID in Probe messages. The mtrace bit indicates that the neighbor can handle mtrace requests.")
hmDVMRPNeighborRcvRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvRoutes.setDescription('The total number of routes received in valid DVMRP packets received from this neighbor. This can be used to diagnose problems such as unicast route injection, as well as giving an indication of the level of DVMRP route exchange activity.')
hmDVMRPNeighborRcvBadPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadPkts.setDescription('The number of packet received from this neighbor which were discarded as invalid.')
hmDVMRPNeighborRcvBadRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets received from this neighbor, which were ignored because the entry was invalid.')
hmDVMRPNeighborState = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("oneway", 1), ("active", 2), ("ignoring", 3), ("down", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborState.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborState.setDescription('State of the neighbor adjacency.')
hmDVMRPRouteTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4), )
if mibBuilder.loadTexts: hmDVMRPRouteTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteTable.setDescription('The table of routes learned through DVMRP route exchange.')
hmDVMRPRouteEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteSourceMask"))
if mibBuilder.loadTexts: hmDVMRPRouteEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteEntry.setDescription('An entry (conceptual row) containing the multicast routing information used by DVMRP in place of the unicast routing information.')
hmDVMRPRouteSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteSourceMask identifies the sources for which this entry contains multicast routing information.')
hmDVMRPRouteSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteSource identifies the sources for which this entry contains multicast routing information.')
hmDVMRPRouteUpstreamNeighbor = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteUpstreamNeighbor.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteUpstreamNeighbor.setDescription('The address of the upstream neighbor (e.g., RPF neighbor) from which IP datagrams from these sources are received.')
hmDVMRPRouteIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 4), InterfaceIndexOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteIfIndex.setDescription('The value of ifIndex for the interface on which IP datagrams sent by these sources are received. A value of 0 typically means the route is an aggregate for which no next- hop interface exists.')
hmDVMRPRouteMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteMetric.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteMetric.setDescription('The distance in hops to the source subnet.')
hmDVMRPRouteExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 6), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteExpiryTime.setDescription('The minimum amount of time remaining before this entry will be aged out.')
hmDVMRPRouteUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 7), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteUpTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteUpTime.setDescription('The time since the route represented by this entry was learned by the router.')
hmDVMRPRouteNextHopTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5), )
if mibBuilder.loadTexts: hmDVMRPRouteNextHopTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopTable.setDescription('The (conceptual) table containing information on the next hops on outgoing interfaces for routing IP multicast datagrams.')
hmDVMRPRouteNextHopEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopSourceMask"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopIfIndex"))
if mibBuilder.loadTexts: hmDVMRPRouteNextHopEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopEntry.setDescription('An entry (conceptual row) in the list of next hops on outgoing interfaces to which IP multicast datagrams from particular sources are routed.')
hmDVMRPRouteNextHopSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteNextHopSourceMask identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hmDVMRPRouteNextHopSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteNextHopSource identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hmDVMRPRouteNextHopIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 3), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopIfIndex.setDescription('The ifIndex value of the interface for the outgoing interface for this next hop.')
hmDVMRPRouteNextHopType = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("leaf", 1), ("branch", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteNextHopType.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopType.setDescription('Type is leaf if no downstream dependent neighbors exist on the outgoing virtual interface. Otherwise, type is branch.')
hmDVMRPPruneTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6), )
if mibBuilder.loadTexts: hmDVMRPPruneTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneTable.setDescription("The (conceptual) table listing the router's upstream prune state.")
hmDVMRPPruneEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneGroup"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneSourceMask"))
if mibBuilder.loadTexts: hmDVMRPPruneEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneEntry.setDescription('An entry (conceptual row) in the hmDVMRPPruneTable.')
hmDVMRPPruneGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneGroup.setDescription('The group address which has been pruned.')
hmDVMRPPruneSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneSource.setDescription('The address of the source or source network which has been pruned.')
hmDVMRPPruneSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 3), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneSourceMask.setDescription("The address of the source or source network which has been pruned. The mask must either be all 1's, or else hmDVMRPPruneSource and hmDVMRPPruneSourceMask must match hmDVMRPRouteSource and hmDVMRPRouteSourceMask for some entry in the hmDVMRPRouteTable.")
hmDVMRPPruneExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPPruneExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneExpiryTime.setDescription("The amount of time remaining before this prune should expire at the upstream neighbor. This value should be the minimum of the default prune lifetime and the remaining prune lifetimes of the local router's downstream neighbors, if any.")
hmDVMRPTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7))
hmDVMRPNeighborLoss = NotificationType((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 1)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborState"))
if mibBuilder.loadTexts: hmDVMRPNeighborLoss.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborLoss.setDescription('A hmDVMRPNeighborLoss trap signifies the loss of a 2-way adjacency with a neighbor. This trap should be generated when the neighbor state changes from active to one-way, ignoring, or down. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hmDVMRPNeighborNotPruning = NotificationType((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 2)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborCapabilities"))
if mibBuilder.loadTexts: hmDVMRPNeighborNotPruning.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborNotPruning.setDescription('A hmDVMRPNeighborNotPruning trap signifies that a non-pruning neighbor has been detected (in an implementation-dependent manner). This trap should be generated at most once per generation ID of the neighbor. For example, it should be generated at the time a neighbor is first heard from if the prune bit is not set in its capabilities. It should also be generated if the local system has the ability to tell that a neighbor which sets the the prune bit in its capabilities is not pruning any branches over an extended period of time. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hmDVMRPMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2))
hmDVMRPMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1))
hmDVMRPMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2))
hmDVMRPMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1, 1)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPGeneralGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRoutingGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPTreeGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPSecurityGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPMIBCompliance = hmDVMRPMIBCompliance.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPMIBCompliance.setDescription('The compliance statement for the DVMRP MIB.')
hmDVMRPGeneralGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 2)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPVersionString"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPGenerationId"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNumRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPReachableRoutes"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPGeneralGroup = hmDVMRPGeneralGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPGeneralGroup.setDescription('A collection of objects used to describe general DVMRP configuration information.')
hmDVMRPInterfaceGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 3)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceMetric"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceStatus"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceRcvBadPkts"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceRcvBadRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceSentRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceGenerationId"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPInterfaceGroup = hmDVMRPInterfaceGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceGroup.setDescription('A collection of objects used to describe DVMRP interface configuration and statistics.')
hmDVMRPNeighborGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 4)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborUpTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborExpiryTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborGenerationId"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborMajorVersion"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborMinorVersion"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborCapabilities"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvBadPkts"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvBadRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborState"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPNeighborGroup = hmDVMRPNeighborGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborGroup.setDescription('A collection of objects used to describe DVMRP peer configuration and statistics.')
hmDVMRPRoutingGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 5)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteUpstreamNeighbor"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteIfIndex"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteMetric"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteExpiryTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteUpTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopType"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPRoutingGroup = hmDVMRPRoutingGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRoutingGroup.setDescription('A collection of objects used to store the DVMRP routing table.')
hmDVMRPSecurityGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 6)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceInterfaceKey"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceInterfaceKeyVersion"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPSecurityGroup = hmDVMRPSecurityGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPSecurityGroup.setDescription('A collection of objects used to store information related to DVMRP security.')
hmDVMRPTreeGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 7)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneExpiryTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPTreeGroup = hmDVMRPTreeGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPTreeGroup.setDescription('A collection of objects used to store information related to DVMRP prune state.')
hmDVMRPNotificationGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 8)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborLoss"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborNotPruning"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPNotificationGroup = hmDVMRPNotificationGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNotificationGroup.setDescription('A collection of notifications for signaling important DVMRP events.')
mibBuilder.exportSymbols("HIRSCHMANN-DVMRP-MIB", hmDVMRPNeighborUpTime=hmDVMRPNeighborUpTime, hmDVMRPReachableRoutes=hmDVMRPReachableRoutes, hmDVMRPNeighborEntry=hmDVMRPNeighborEntry, hmDVMRPNeighborRcvRoutes=hmDVMRPNeighborRcvRoutes, hmDVMRPGeneralGroup=hmDVMRPGeneralGroup, hmDVMRPInterfaceGroup=hmDVMRPInterfaceGroup, hmDVMRPRoutingGroup=hmDVMRPRoutingGroup, hmDVMRPRouteNextHopType=hmDVMRPRouteNextHopType, hmDVMRPInterfaceInterfaceKeyVersion=hmDVMRPInterfaceInterfaceKeyVersion, hmDVMRPNeighborExpiryTime=hmDVMRPNeighborExpiryTime, hmDVMRPPruneSourceMask=hmDVMRPPruneSourceMask, hmDVMRPPruneExpiryTime=hmDVMRPPruneExpiryTime, hmDVMRPMIBCompliances=hmDVMRPMIBCompliances, hmDVMRPScalar=hmDVMRPScalar, hmDVMRPNumRoutes=hmDVMRPNumRoutes, hmDVMRPInterfaceIfIndex=hmDVMRPInterfaceIfIndex, hmDVMRPRouteNextHopEntry=hmDVMRPRouteNextHopEntry, hmDVMRPPruneTable=hmDVMRPPruneTable, hmDVMRPInterfaceRcvBadRoutes=hmDVMRPInterfaceRcvBadRoutes, hmDVMRPRouteMetric=hmDVMRPRouteMetric, hmDVMRPInterfaceStatus=hmDVMRPInterfaceStatus, hmDVMRPInterfaceEntry=hmDVMRPInterfaceEntry, hmDVMRPNeighborNotPruning=hmDVMRPNeighborNotPruning, hmDVMRPInterfaceMetric=hmDVMRPInterfaceMetric, hmDVMRPMIBGroups=hmDVMRPMIBGroups, hmDVMRPMIBObjects=hmDVMRPMIBObjects, hmDVMRPNeighborTable=hmDVMRPNeighborTable, hmDVMRPRouteIfIndex=hmDVMRPRouteIfIndex, hmDVMRPRouteNextHopIfIndex=hmDVMRPRouteNextHopIfIndex, hmDVMRPPruneSource=hmDVMRPPruneSource, hmDVMRPRouteNextHopSourceMask=hmDVMRPRouteNextHopSourceMask, hmDVMRPNeighborState=hmDVMRPNeighborState, hmDVMRPGenerationId=hmDVMRPGenerationId, hmDVMRPUpdateInterval=hmDVMRPUpdateInterval, hmDVMRPRouteNextHopSource=hmDVMRPRouteNextHopSource, hmDVMRPPruneEntry=hmDVMRPPruneEntry, hmDVMRPNeighborCapabilities=hmDVMRPNeighborCapabilities, hmDVMRPNeighborGroup=hmDVMRPNeighborGroup, hmDVMRPInterfaceLocalAddress=hmDVMRPInterfaceLocalAddress, hmDVMRPNeighborRcvBadRoutes=hmDVMRPNeighborRcvBadRoutes, hmDVMRPNeighborGenerationId=hmDVMRPNeighborGenerationId, hmDVMRPTraps=hmDVMRPTraps, hmDVMRPInterfaceSentRoutes=hmDVMRPInterfaceSentRoutes, hmDVMRPNeighborMinorVersion=hmDVMRPNeighborMinorVersion, hmDVMRPNotificationGroup=hmDVMRPNotificationGroup, PYSNMP_MODULE_ID=hmDVMRPMIB, hmDVMRPRouteSource=hmDVMRPRouteSource, hmDVMRPRouteUpstreamNeighbor=hmDVMRPRouteUpstreamNeighbor, hmDVMRPMIBCompliance=hmDVMRPMIBCompliance, hmDVMRPInterfaceInterfaceKey=hmDVMRPInterfaceInterfaceKey, hmDVMRPMIB=hmDVMRPMIB, hmDVMRPRouteNextHopTable=hmDVMRPRouteNextHopTable, hmDVMRPPruneGroup=hmDVMRPPruneGroup, hmDVMRPNeighborAddress=hmDVMRPNeighborAddress, hmDVMRPRouteSourceMask=hmDVMRPRouteSourceMask, hmDVMRPRouteEntry=hmDVMRPRouteEntry, hmDVMRPSecurityGroup=hmDVMRPSecurityGroup, hmDVMRPRouteUpTime=hmDVMRPRouteUpTime, hmDVMRPPruneLifetime=hmDVMRPPruneLifetime, hmDVMRPTreeGroup=hmDVMRPTreeGroup, hmDVMRPNeighborIfIndex=hmDVMRPNeighborIfIndex, hmDVMRP=hmDVMRP, hmDVMRPInterfaceRcvBadPkts=hmDVMRPInterfaceRcvBadPkts, hmDVMRPRouteTable=hmDVMRPRouteTable, hmDVMRPNeighborRcvBadPkts=hmDVMRPNeighborRcvBadPkts, hmDVMRPInterfaceTable=hmDVMRPInterfaceTable, hmDVMRPRouteExpiryTime=hmDVMRPRouteExpiryTime, hmDVMRPMIBConformance=hmDVMRPMIBConformance, hmDVMRPNeighborLoss=hmDVMRPNeighborLoss, hmDVMRPInterfaceGenerationId=hmDVMRPInterfaceGenerationId, hmDVMRPVersionString=hmDVMRPVersionString, hmDVMRPNeighborMajorVersion=hmDVMRPNeighborMajorVersion)
|
r = int(input())
pi = 3.14159
v = (4/3) *pi * (r ** 3)
print("VOLUME = {0:.3f}".format(v))
|
expected_output = {
"interfaces": {
"Port-channel1": {
"name": "Port-channel1",
"protocol": "lacp",
"members": {
"GigabitEthernet2": {
"interface": "GigabitEthernet2",
"counters": {
"lacp_in_pkts": 22,
"lacp_out_pkts": 27,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet3": {
"interface": "GigabitEthernet3",
"counters": {
"lacp_in_pkts": 21,
"lacp_out_pkts": 24,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
},
},
"Port-channel2": {
"name": "Port-channel2",
"protocol": "lacp",
"members": {
"GigabitEthernet4": {
"interface": "GigabitEthernet4",
"counters": {
"lacp_in_pkts": 31,
"lacp_out_pkts": 24,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet5": {
"interface": "GigabitEthernet5",
"counters": {
"lacp_in_pkts": 10,
"lacp_out_pkts": 14,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet6": {
"interface": "GigabitEthernet6",
"counters": {
"lacp_in_pkts": 11,
"lacp_out_pkts": 13,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
},
},
}
}
|
print("\nCalculadora")
while True:
operador = input("\nDigite o operador matemático desejado (+, -, * ou /) ou \"sair\" para encerrar: ")
if operador == "sair":
break
num1 = float(input("\nDigite o 1º número: "))
num2 = float(input("\nDigite o 2º número: "))
if operador == "+":
print("\nA soma de " + str(num1) + " mais " + str(num2) + " é igual à " + str(num1 + num2) + ".")
elif operador == "-":
print("\nA subtração de " + str(num1) + " menos " + str(num2) + " é igual à " + str(num1 - num2) + ".")
elif operador == "*":
print("\nA multiplicação de " + str(num1) + " por " + str(num2) + " é igual à " + str(num1 * num2) + ".")
elif operador == "/":
print("\nA divisão de " + str(num1) + " por " + str(num2) + " é igual à " + str(num1 / num2) + ".")
else:
print("\nO operador digitado é inválido.")
print("\nObrigado por utilizar a minha calculadora!\n")
|
#
# ***** ALERTA SERVER DEFAULT SETTINGS -- DO NOT MODIFY THIS FILE *****
#
# To override these settings use /etc/alertad.conf or the contents of the
# configuration file set by the environment variable ALERTA_SVR_CONF_FILE.
#
# Further information on settings can be found at http://docs.alerta.io
DEBUG = False
LOGGER_NAME = 'alerta'
LOG_FILE = None
SECRET_KEY = 'changeme'
QUERY_LIMIT = 10000 # maximum number of alerts returned by a single query
HISTORY_LIMIT = 1000 # cap the number of alert history entries
# MongoDB
MONGO_HOST = 'localhost'
MONGO_PORT = 27017
MONGO_DATABASE = 'monitoring'
MONGO_REPLSET = None # 'alerta'
MONGO_USERNAME = 'alerta'
MONGO_PASSWORD = None
AUTH_REQUIRED = False
ADMIN_USERS = []
CUSTOMER_VIEWS = False
OAUTH2_CLIENT_ID = None # Google or GitHub OAuth2 client ID and secret
OAUTH2_CLIENT_SECRET = None
ALLOWED_EMAIL_DOMAINS = ['*']
ALLOWED_GITHUB_ORGS = ['*']
GITLAB_URL = None
ALLOWED_GITLAB_GROUPS = ['*']
TOKEN_EXPIRE_DAYS = 14
API_KEY_EXPIRE_DAYS = 365 # 1 year
# switches
AUTO_REFRESH_ALLOW = 'OFF' # set to 'OFF' to reduce load on API server by forcing clients to manually refresh
SENDER_API_ALLOW = 'ON' # set to 'OFF' to block clients from sending new alerts to API server
CORS_ALLOW_HEADERS = ['Content-Type', 'Authorization', 'Access-Control-Allow-Origin']
CORS_ORIGINS = [
'http://try.alerta.io',
'http://explorer.alerta.io',
'http://localhost'
]
CORS_SUPPORTS_CREDENTIALS = AUTH_REQUIRED
BLACKOUT_DURATION = 3600 # default period = 1 hour
EMAIL_VERIFICATION = False
SMTP_HOST = 'smtp.gmail.com'
SMTP_PORT = 587
MAIL_FROM = 'your@gmail.com' # replace with valid sender address
SMTP_PASSWORD = '' # password for MAIL_FROM account, Gmail uses application-specific passwords
# Plug-ins
PLUGINS = ['reject','wechat','influxdb']
ORIGIN_BLACKLIST = [] # reject all foo alerts from bar, and everything from qux
#ORIGIN_BLACKLIST = ['foo/bar$', '.*/qux'] # reject all foo alerts from bar, and everything from qux
ALLOWED_ENVIRONMENTS = ['Production', 'Development'] # reject alerts without allowed environments
|
polish = [
'a',
'aby',
'ach',
'acz',
'aczkolwiek',
'aj',
'albo',
'ale',
'alez',
'ależ',
'ani',
'az',
'aż',
'bardziej',
'bardzo',
'beda',
'bede',
'bedzie',
'bez',
'bo',
'bowiem',
'by',
'byc',
'byl',
'byla',
'byli',
'bylo',
'byly',
'bynajmniej',
'być',
'był',
'była',
'było',
'były',
'będzie',
'będą',
'będę',
'cala',
'cali',
'caly',
'cała',
'cały',
'ci',
'cie',
'ciebie',
'cię',
'co',
'cokolwiek',
'cos',
'coś',
'czasami',
'czasem',
'czemu',
'czy',
'czyli',
'daleko',
'deda',
'dla',
'dlaczego',
'dlatego',
'do',
'dobrze',
'dokad',
'dokąd',
'dosc',
'dość',
'duzo',
'dużo',
'dwa',
'dwaj',
'dwie',
'dwoje',
'dzis',
'dzisiaj',
'dziś',
'gdy',
'gdyby',
'gdyz',
'gdyż',
'gdzie',
'gdziekolwiek',
'gdzies',
'gdzieś',
'go',
'i',
'ich',
'ile',
'im',
'inna',
'inne',
'inny',
'innych',
'iz',
'iż',
'ja',
'jak',
'jakas',
'jakaś',
'jakby',
'jaki',
'jakichs',
'jakichś',
'jakie',
'jakis',
'jakiz',
'jakiś',
'jakiż',
'jakkolwiek',
'jako',
'jakos',
'jakoś',
'je',
'jeden',
'jedna',
'jednak',
'jednakze',
'jednakże',
'jedno',
'jego',
'jej',
'jemu',
'jesli',
'jest',
'jestem',
'jeszcze',
'jezeli',
'jeśli',
'jeżeli',
'juz',
'już',
'ją',
'kazdy',
'każdy',
'kiedy',
'kilka',
'kims',
'kimś',
'kto',
'ktokolwiek',
'ktora',
'ktore',
'ktorego',
'ktorej',
'ktory',
'ktorych',
'ktorym',
'ktorzy',
'ktos',
'ktoś',
'która',
'które',
'którego',
'której',
'który',
'których',
'którym',
'którzy',
'ku',
'lat',
'lecz',
'lub',
'ma',
'mają',
'mam',
'mało',
'mi',
'miedzy',
'mimo',
'między',
'mna',
'mnie',
'mną',
'moga',
'mogą',
'moi',
'moim',
'moj',
'moja',
'moje',
'moze',
'mozliwe',
'mozna',
'może',
'możliwe',
'można',
'mu',
'musi',
'my',
'mój',
'na',
'nad',
'nam',
'nami',
'nas',
'nasi',
'nasz',
'nasza',
'nasze',
'naszego',
'naszych',
'natomiast',
'natychmiast',
'nawet',
'nia',
'nic',
'nich',
'nie',
'niech',
'niego',
'niej',
'niemu',
'nigdy',
'nim',
'nimi',
'niz',
'nią',
'niż',
'no',
'o',
'obok',
'od',
'około',
'on',
'ona',
'one',
'oni',
'ono',
'oraz',
'oto',
'owszem',
'pan',
'pana',
'pani',
'po',
'pod',
'podczas',
'pomimo',
'ponad',
'poniewaz',
'ponieważ',
'powinien',
'powinna',
'powinni',
'powinno',
'poza',
'prawie',
'przeciez',
'przecież',
'przed',
'przede',
'przedtem',
'przez',
'przy',
'roku',
'rowniez',
'również',
'sam',
'sama',
'sie',
'się',
'skad',
'skąd',
'soba',
'sobie',
'sobą',
'sposob',
'sposób',
'swoje',
'są',
'ta',
'tak',
'taka',
'taki',
'takie',
'takze',
'także',
'tam',
'te',
'tego',
'tej',
'ten',
'teraz',
'też',
'to',
'toba',
'tobie',
'tobą',
'totez',
'toteż',
'totobą',
'trzeba',
'tu',
'tutaj',
'twoi',
'twoim',
'twoj',
'twoja',
'twoje',
'twym',
'twój',
'ty',
'tych',
'tylko',
'tym',
'u',
'w',
'wam',
'wami',
'was',
'wasz',
'wasza',
'wasze',
'we',
'według',
'wiele',
'wielu',
'więc',
'więcej',
'wlasnie',
'wszyscy',
'wszystkich',
'wszystkie',
'wszystkim',
'wszystko',
'wtedy',
'wy',
'właśnie',
'z',
'za',
'zaden',
'zadna',
'zadne',
'zadnych',
'zapewne',
'zawsze',
'ze',
'zeby',
'zeznowu',
'znow',
'znowu',
'znów',
'zostal',
'został',
'zł',
'żaden',
'żadna',
'żadne',
'żadnych',
'że',
'żeby'
]
|
c_player_version_path = '/v1/player/versionInfo'
c_casino_version_path = '/v1/casino/versionInfo'
c_not_ready = 'not_ready_0'
# frontend
c_frontend_src_em = 'EM_FE'
c_frontend_src_operator = 'operator_FE'
# update time
c_job_interval_minutes = 30
c_json_key_operator_group = 'Operator Group'
c_redis_key_operator_group = 'operatorGroup'
c_json_key_operator = 'Operator'
c_redis_key_operator = 'operatorName'
c_json_key_domain_id = 'Domain ID'
c_redis_key_domain_id = 'domainId'
c_json_key_gm_core_env = 'GM Core Env'
c_redis_key_gm_core_env = 'gmENV'
c_json_key_partner_id = 'Partner ID(ServerAPI ID)'
c_redis_key_partner_id = 'partnerID'
c_json_key_partner_key = 'Partner Key(Code)'
c_redis_key_partner_key = 'partnerKey'
c_json_key_environment = 'Environment'
c_redis_key_environment = 'environment'
c_json_key_frontend = 'Frontend'
c_redis_key_frontend = 'frontend'
c_json_key_region = 'REGION'
c_redis_key_region = 'region'
c_json_key_status = 'STATUS'
c_redis_key_status = 'status'
c_json_key_player_api = 'PLAYER API'
c_redis_key_player_api = 'playerAPI'
c_json_key_casino_api = 'CASINO API'
c_redis_key_casino_api = 'casinoAPI'
c_json_key_live_lobby = 'LIVELOBBY'
c_redis_key_live_lobby = 'liveLobby'
c_json_key_gic = 'GIC'
c_redis_key_gic = 'GIC'
c_json_key_notification = 'Notification'
c_redis_key_notification = 'Notification'
c_json_key_balance_updates = 'Balance updates'
c_redis_key_balance_updates = 'BalanceUpdate'
c_redis_key_casino_version_url = 'casino_version_url'
c_redis_key_casino_version_tag = 'casino_version_tag'
c_redis_key_casino_version_deploy_time = 'casino_version_deploy_time'
c_redis_key_player_version_url = 'player_version_url'
c_redis_key_player_version_tag = 'player_version_tag'
c_redis_key_player_version_deploy_time = 'player_version_deploy_time'
c_redis_key_update_time = 'update_time'
c_redis_key_key = 'key'
c_default_version_info_url_empty = {'domainId': 0, 'tag': 'not_ready_1', 'deployTime': 'not_ready_1'}
c_default_version_info_404_url_not_found = {'domainId': 0, 'tag': 'not_ready_2', 'deployTime': 'not_ready_2'}
|
'''A program to distribute candy to boys with array rating
each boy will get one more candy than the boy with less rating than him
example:[0,1,6] will return
1+2+3=6
[1,1,1,2,3,2+10]
=>1+1+1+2+2+3+4
'''
def distr(A:list):
A= sorted(A)
no_candy=1
the_boy=0
total_candy=0
for boy in A:
if the_boy == boy:
total_candy = total_candy+ no_candy
else:
no_candy+=1
total_candy+=no_candy
the_boy = boy
return total_candy
print(distr([3,5,2,7,9,2,2,0,3]))
|
# Definition for a Node.
class Node:
def __init__(self, x: int, next: "Node" = None, random: "Node" = None):
self.val = int(x)
self.next = next
self.random = random
class Solution:
def copyRandomList(self, head: "Node") -> "Node":
if not head:
return None
node = head
d = {}
while node:
new_node = Node(node.val)
d[node] = new_node
node = node.next
node = head
new_head = d[head]
while node:
new_node = d[node]
if node.next:
new_node.next = d[node.next]
if node.random:
new_node.random = d[node.random]
node = node.next
return new_head
|
# All things for a HAP characteristic.
class HAP_FORMAT:
BOOL = 'bool'
INT = 'int'
FLOAT = 'float'
STRING = 'string'
ARRAY = 'array'
DICTIONARY = 'dictionary'
UINT8 = 'uint8'
UINT16 = 'uint16'
UINT32 = 'uint32'
UINT64 = 'uint64'
DATA = 'data'
TLV8 = 'tlv8'
NUMERIC = (INT, FLOAT, UINT8, UINT16, UINT32, UINT64)
DEFAULT = {
BOOL: False,
INT: 0,
FLOAT: 0.,
STRING: "",
ARRAY: "",
DICTIONARY: "",
UINT8: 0,
UINT16: 0,
UINT32: 0,
UINT64: 0,
DATA: "",
TLV8: "",
}
class HAP_UNITS:
CELSIUS = 'celsius'
PERCENTAGE = 'percentage'
ARC_DEGREE = 'arcdegrees'
LUX = 'lux'
SECONDS = 'seconds'
class HAP_PERMISSIONS:
READ = 'pr'
WRITE = 'pw'
NOTIFY = 'ev'
HIDDEN = 'hd'
class CharacteristicError(Exception):
pass
class Characteristic(object):
def __init__(self, display_name, type_id, properties, value=None, broker=None):
self.display_name = display_name
self.type_id = type_id
assert "format" in properties and "perms" in properties
self.properties = properties
self.value = value or HAP_FORMAT.DEFAULT[properties["format"]]
self.broker = broker
self.setter_callback = None
def set_value(self, value, should_notify=True):
self.value = value
if self.setter_callback is not None:
self.setter_callback(value)
if should_notify:
self.notify()
def get_value(self):
return self.value
def notify(self):
data = {
"type_id": self.type_id,
"value": self.value,
}
self.broker.publish(data)
def _value_to_HAP(self):
hap_rep = {}
if self.properties["format"] == HAP_FORMAT.STRING:
val = self.value[:256]
if len(self.value) > 64:
hap_rep["maxLen"] = min(len(self.value), 256)
elif self.properties["format"] in HAP_FORMAT.NUMERIC:
if self.value > self.properties["max_value"]:
val = self.properties["max_value"]
else:
val = max(self.value, self.properties["min_value"])
hap_rep["maxValue"] = self.properties["max_value"]
hap_rep["minValue"] = self.properties["min_value"]
hap_rep["minStep"] = self.properties["min_step"]
if "unit" in self.properties:
hap_rep["unit"] = self.properties["unit"]
else:
val = self.value
if HAP_PERMISSIONS.READ in self.properties["perms"]:
hap_rep["value"] = val
return hap_rep
def to_HAP(self, uuids):
hap_rep = {
"iid": uuids[self.type_id],
"type": str(self.type_id).upper(),
"description": self.display_name,
"perms": self.properties["perms"],
"format": self.properties["format"],
}
hap_rep.update(self._value_to_HAP())
return hap_rep
|
"""
[2015-06-05] Challenge #217 [Practical Exercise] TeXSCII
https://www.reddit.com/r/dailyprogrammer/comments/38nhgx/20150605_challenge_217_practical_exercise_texscii/
# [](#PEIcon) _(Practical Exercise)_: TeXSCII
LaTeX is a typesetting utility based on the TeX typesetting and macro system which can be used to output mathematical
formulae to display or print. For example, the LaTeX code `\frac{-b\pm\sqrt{b^{2}-4ac}}{2a}` will be transformed into
[this](http://latex.codecogs.com/gif.latex?%5Cdpi%7B200%7D%20%5Cfrac%7B-b%5Cpm%5Csqrt%7Bb%5E%7B2%7D-4ac%7D%7D%7B2a%7D)
when typeset.
The syntax of LaTeX formulae is fairly simple; commands begin with a backslash `\`, followed by the command name,
followed by its arguments in curly braces, such as `\sqrt{-1}` (square-root of -1) or `\frac{1}{3}` (1/3 as a
fraction). Subscript and superscript are also supported, with the `_` and `^` characters respectively, followed by the
script in curly braces - for example, `x^{2}` outputs x^(2). Everything else is output as plain text.
In today's challenge, you'll implement a simplified subset of LaTeX which outputs the resulting formula as ASCII.
# Formal Inputs and Outputs
## Input Specification
You'll be given a LaTeX equation on one line. The commands you need to support are:
* `\frac{top}{bottom}`: A fraction with the given top and bottom pieces
* `\sqrt{content}`: A square-root sign
* `\root{power}{content}`: A root sign with an arbitrary power (eg. cube-root, where the power 3 is at the top-left of
the radical symbol)
* `_{sub}`: Subscript
* `^{sup}`: Superscript
* `_{sub}^{sup}`: Subscript and superscript (one on top of the other)
* `\pi`: Output the greek symbol for pi
Feel free to extend your solution to support any additional structures such as integral signs.
## Output Description
Output the formula with ASCII symbols in the appropriate locations. You're free to pick the output style that looks
most appropriate to you. One possible way might be something like this:
3_
√x
y=--
3
# Sample Inputs and Outputs
## Subscripts and Superscripts
### Input
log_{e}(e^{x})=x
### Output
x
log (e )=x
e
## Stacked Scripts
### Input
F_{21}^{3}=2^{5}*7^{3}-30
### Output
3 5 3
F =2 *7 -30
21
## Fractions
### Input
sin^{3}(\frac{1}{3}\pi)=\frac{3}{8}\sqrt{3}
### Output
3 1 3 _
sin (-π)=-√3
3 8
## Quadratic Formula
### Input
x=\frac{-b+\sqrt{b^{2}-4ac}}{2a}
### Output
______
/ 2
-b+√ b -4ac
x=-----------
2a
## Cubic Formula
(I hope)
### Input
x=\frac{\root{3}{-2b^{3}+9abc-27a^{2}d+\sqrt{4(-b^{2}+3ac)^{3}+(-2b^{3}+9abc-27a^{2}d)^{2}}}}{3\root{3}{2}a} -
\frac{b}{3a} -
\frac{\root{3}{2}(-b^{2}+3ac)}{3a\root{3}{-2b^{3}+9abc-27a^{2}d+\sqrt{4(-b^{2}+3ac)^{3}+(-2b^{3}+9abc-27a^{2}d)^{2}}}}
### Output
3________________________________________________
/ ______________________________
/ 3 2 / 2 3 3 2 2 3_ 2
√ -2b +9abc-27a d+√ 4(-b +3ac) +(-2b +9abc-27a d) b √2(-b +3ac)
x=--------------------------------------------------- - -- - -----------------------------------------------------
3_ 3a 3________________________________________________
3√2a / ______________________________
/ 3 2 / 2 3 3 2 2
3a√ -2b +9abc-27a d+√ 4(-b +3ac) +(-2b +9abc-27a d)
# Notes and Further Reading
Solutions have a recommended order of *new* again - feel free to change it back if you prefer *best*. If you want to
play around some with LaTeX, try [this online tool](http://www.codecogs.com/latex/eqneditor.php).
Got any cool challenge ideas? Submit them to /r/DailyProgrammer_Ideas!
"""
def main():
pass
if __name__ == "__main__":
main()
|
# encoding: utf-8
_default_allow_actions = (
'site_read',
'user_create',
'sysadmin', # pseudo-action that CKAN calls check_access for
'dashboard_new_activities_count',
'dashboard_activity_list',
'package_search',
'organization_list_for_user',
'organization_list',
'group_list',
'group_edit_permissions', # another pseudo-action
)
def is_action_allowed_by_default(action_name):
"""
Indicates whether the given action does not require an explicit role permission.
:returns: boolean
"""
return action_name in _default_allow_actions
|
""" Dont duplicate errors same type. """
DUPLICATES = (
# multiple statements on one line
[('pep8', 'E701'), ('pylint', 'C0321')],
# missing whitespace around operator
[('pep8', 'E225'), ('pylint', 'C0326')],
# unused variable
[('pylint', 'W0612'), ('pyflakes', 'W0612')],
# undefined variable
[('pylint', 'E0602'), ('pyflakes', 'E0602')],
# unused import
[('pylint', 'W0611'), ('pyflakes', 'W0611')],
# unexpected spaces
[('pylint', 'C0326'), ('pep8', 'E251')],
# long lines
[('pylint', 'C0301'), ('pep8', 'E501')],
# whitespace before '('
[('pylint', 'C0326'), ('pep8', 'E211')],
# statement ends with a semicolon
[('pylint', 'W0301'), ('pep8', 'E703')],
# multiple statements on one line
[('pylint', 'C0321'), ('pep8', 'E702')],
# bad indentation
[('pylint', 'W0311'), ('pep8', 'E111')],
)
DUPLICATES = dict((key, values) for values in DUPLICATES for key in values)
class Error(object):
""" Store error information. """
def __init__(self, linter="", col=1, lnum=1, type="E",
text="unknown error", filename="", **kwargs):
""" Init error information with default values. """
text = ' '.join(str(text).strip().split('\n'))
if linter:
text = "%s [%s]" % (text, linter)
number = text.split(' ', 1)[0]
self._info = dict(linter=linter, col=col, lnum=lnum, type=type,
text=text, filename=filename, number=number)
def __getattr__(self, name):
return self._info[name]
def __getitem__(self, name):
return self._info[name]
def get(self, name, default=None):
""" Implement dictionary `get` method. """
return self._info.get(name, default)
def __repr__(self):
return "<Error: %s %s>" % (self.number, self.linter)
# pylama:ignore=W0622,D
|
'''from rasa.core.agent import Agent
from rasa.utils.endpoints import EndpointConfig
import asyncio
import logging
logger = logging.getLogger("app.main")
class RasaAgent():
def __init__(self, **kwargs):
self.model_name = kwargs.get('model')
self.response = None
self.message = None
self.action_endpoint = "http://localhost:5055/webhook"
self.modal_dir = "../DigitalBeing/server/agents/rasa/models/"
def invoke(self, **kwargs):
self.message = kwargs.get('message')
modal_path = f"{self.modal_dir}{self.model_name}.tar.gz"
agent = Agent.load(modal_path, action_endpoint=EndpointConfig(self.action_endpoint))
if agent.is_ready():
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
loop = asyncio.get_event_loop()
self.response = loop.run_until_complete(agent.handle_text(self.message))
agent_response_data = agent.tracker_store.retrieve_full_tracker("default")._latest_message_data()
intent = agent_response_data.get('intent',{})
confidence = intent.get('confidence', 0)
if confidence >= 0.20:
return self.response[0].get("text")
else:
return "Im sorry can you elaborate?"
else:
logger.exception("Exception: select from available rasa models")''' |
# https://www.codewars.com/kata/5667e8f4e3f572a8f2000039/train/python
#Take each letters index
#Add to string each letters multiplied by its index (first letter must be uppercase and others lowercase)
#Add - between each set
def accum(s):
accummedStr=s[0].upper()
for i in range(1,len(s)): accummedStr+="-"+s[i].upper()+(s[i].lower()*i)
return accummedStr
#myStr=input("String: ")
#print(accum(myStr))
|
with open('test.txt', 'r+') as f:
f.seek(15)
print(f.readline())
with open('test.txt') as f:
data = []
for d in f:
data.append(d)
print(data) |
def figure_layout(annotations=None, title_text=None, x_label=None, y_label=None, show_legend=False):
"""Customize plotly figures
Parameters
----------
annotations: a list of dictionaries informing the values of parameters
to format annotations.
x_label: str. Title for the xaxis.
y_label: str. Title for the yaxis.
show_legend: boolean. If 'True' show legend.
"""
layout_parameters = dict(xaxis=dict(showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial',
size=12,
color='rgb(82, 82, 82)')
),
yaxis=dict(showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial',
size=12,
color='rgb(82, 82, 82)')
),
title=dict(text=title_text,
font=dict(family='Arial',
size=20,
color='rgb(37,37,37)'),
),
showlegend=show_legend,
plot_bgcolor='white',
autosize=True,
yaxis_title = y_label,
xaxis_title = x_label,
annotations = annotations
)
return layout_parameters |
#
# @lc app=leetcode id=66 lang=python3
#
# [66] Plus One
#
# https://leetcode.com/problems/plus-one/description/
#
# algorithms
# Easy (40.72%)
# Total Accepted: 372.5K
# Total Submissions: 909.9K
# Testcase Example: '[1,2,3]'
#
# Given a non-empty array of digits representing a non-negative integer, plus
# one to the integer.
#
# The digits are stored such that the most significant digit is at the head of
# the list, and each element in the array contain a single digit.
#
# You may assume the integer does not contain any leading zero, except the
# number 0 itself.
#
# Example 1:
#
#
# Input: [1,2,3]
# Output: [1,2,4]
# Explanation: The array represents the integer 123.
#
#
# Example 2:
#
#
# Input: [4,3,2,1]
# Output: [4,3,2,2]
# Explanation: The array represents the integer 4321.
#
#
class Solution:
def plusOne(self, digits: List[int]) -> List[int]:
# if len(digits) == 1 and digits[0] == 0:
# digits[0] = 1
# return digits
# plus = (digits[len(digits) - 1] + 1) // 10
# digits[len(digits) - 1] += 1
# digits[len(digits) - 1] %= 10
# for i in range(len(digits)-2,-1,-1):
# digits[i] += plus
# plus = digits[i] // 10
# if plus == 0:
# break
# else:
# digits[i] = 0
# if plus==1:
# digits.insert(0,1)
# return digits
num = int(''.join(map(str, digits)))
num += 1
return [int(i) for i in str(num)]
|
def move_zeros_to_left(A):
if len(A) < 1: return
lengthA = len(A)
write_index = lengthA - 1
read_index = lengthA - 1
while(read_index >= 0):
if A[read_index] != 0:
A[write_index] = A[read_index]
write_index -= 1
read_index -= 1
while (write_index >= 0):
A[write_index] = 0
write_index -= 1
return A
# Driver Code
A = [1, 0, 10, 20, 0, 59, 0, 63, 88]
print(move_zeros_to_left(A))
|
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
}
}
INSTALLED_APPS=[
'tests',
]
DEBUG = False
SITE_ID = 1 |
class Pessoa:
olhos = 2
def __init__(self, *filhos, nome=None, idade=35):
self.idade = idade
self.nome = nome
self.filhos = list(filhos)
def cumprimentar(self):
return f'Olá {id(self)}'
@staticmethod
def metodo_estatico():
return 42
@classmethod
def nome_e_atributos_de_classe(cls):
return f'{cls} - olhos {cls.olhos}'
if __name__ == '__main__':
renzo = Pessoa(nome='Renzo')
fulano = Pessoa(renzo, nome='Fulano')
print(Pessoa.cumprimentar(fulano))
print(id(fulano))
print(fulano.cumprimentar())
print(fulano.nome)
print(fulano.idade)
for filhos in fulano.filhos:
print(filhos.nome)
fulano.sobrenome = 'Ramalho'
print(fulano.__dict__)
del fulano.filhos
print(fulano.__dict__)
print(Pessoa.olhos)
print(fulano.olhos)
print(id(Pessoa.olhos), id(fulano.olhos))
print(Pessoa.nome_e_atributos_de_classe(), fulano.metodo_estatico())
|
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 30 18:07:30 2020
@author: user
"""
|
n = int(input())
a = list(map(int, input().split()))
a = sorted(a)
c = 0
for i in range(0,n,2):
c = c + a[i+1]-a[i]
print(c)
|
# Do not edit the class below except
# for the breadthFirstSearch method.
# Feel free to add new properties
# and methods to the class.
class Node:
def __init__(self, name):
self.children = []
self.name = name
def addChild(self, name):
self.children.append(Node(name))
return self
def breadthFirstSearch(self, array):
# Write your code here.
queue = [self]
while len(queue) > 0:
cur_node = queue.pop(0)
for child in cur_node.children:
queue.append(child)
array.append(cur_node.name)
return array
|
confThreshold= 0.5
nmsThreshold = 0.4
inpWidth = 416
inpHeight = 416
classesFile = "coco.names"
classes = None
with open(classesFile,"rt") as f:
classes = f.read().rstrip("\n").split("\n")
print(classes) |
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