content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
class Employee:
# class variables
num_of_employees = 0
raise_amount = 1.04
def __init__(self, first, last, pay):
# instance variables
self.first = first
self.last = last
self.pay = pay
self.email = f"{first}.{last}@company.com"
Employee.num_of_employees += 1
def fullname(self):
return f"{self.first} {self.last}"
def apply_raise(self):
self.pay = int(self.pay * self.raise_amount)
print(Employee.num_of_employees)
emp_1 = Employee("Corey", "Schafer", 100)
emp_2 = Employee("Anton", "Michael", 100)
# NOTE: Number of employees will be increased by +2.
print(Employee.num_of_employees)
# NOTE: What happened in background is:
# Check if instance has corresponding attribute. Else,
# check if class has corresponding attribute.
print(Employee.raise_amount)
print(emp_1.raise_amount)
print(emp_2.raise_amount)
# NOTE: As you can see, no .raise_amount is shown in emp_1 and
# emp_2. Previously, we are using class' .raise_amount attribute.
print(Employee.__dict__)
print(emp_1.__dict__)
print(emp_2.__dict__)
# NOTE: Here, we are adding a new instance attribute.
emp_1.raise_amount = 2.00
print(emp_1.__dict__)
| class Employee:
num_of_employees = 0
raise_amount = 1.04
def __init__(self, first, last, pay):
self.first = first
self.last = last
self.pay = pay
self.email = f'{first}.{last}@company.com'
Employee.num_of_employees += 1
def fullname(self):
return f'{self.first} {self.last}'
def apply_raise(self):
self.pay = int(self.pay * self.raise_amount)
print(Employee.num_of_employees)
emp_1 = employee('Corey', 'Schafer', 100)
emp_2 = employee('Anton', 'Michael', 100)
print(Employee.num_of_employees)
print(Employee.raise_amount)
print(emp_1.raise_amount)
print(emp_2.raise_amount)
print(Employee.__dict__)
print(emp_1.__dict__)
print(emp_2.__dict__)
emp_1.raise_amount = 2.0
print(emp_1.__dict__) |
"""
Hacker Rank Problem found here:
https://www.hackerrank.com/challenges/electronics-shop/problem?utm_campaign=challenge-recommendation&utm_medium=email&utm_source=24-hour-campaign
1. Clarifying Questions
- are the prices on positive integers?
- will the prices alwas be unique within one array?
- is the array sorted?
- size limits on any kind on the lists?
2. Assumptions:
- a keyboard and a USB always have a price > 0
- prices are always positive integers
- no duplicates within the same list of a product's prices
- not sorted (although it make sense for a store)
- from the problem description, we know the lists may or may not be equal
in length, and that there'll always be between 1 and 1000 items for
both a USB or keyboard (referred tp here as 'products')
Idea 1: using for loops
- esstenially re-implement naive two sum
- use for loops to record all combinations
- take the max of these combinations that is <= budget, and return it
- if all combos are > budget, then return -1
"""
def get_money_spent(keyboards, drives, b):
# calculate all ways the customer can purchase the product
max_combo = 0
for k_price in keyboards:
for d_price in drives:
combo = k_price + d_price
# only add combos within budget, and that have both products
if combo <= b and k_price > 0 and d_price > 0:
if combo > max_combo:
max_combo = combo
# check to make sure a max_combo was able to be found
if max_combo == 0:
max_combo = -1
return max_combo
"""
Big O Complexity:
Time: The runtime of this function rises asymptotically with respect to the
sizes of both keyboards and drives. Since we have defined the process
to finding all combinations of the prices using nested for loops, the
average case runtime of this function will be O(n * m).
Space: This functions uses only local variables, so its memory usages is
independent of the input. It is therefore O(1).
"""
| """
Hacker Rank Problem found here:
https://www.hackerrank.com/challenges/electronics-shop/problem?utm_campaign=challenge-recommendation&utm_medium=email&utm_source=24-hour-campaign
1. Clarifying Questions
- are the prices on positive integers?
- will the prices alwas be unique within one array?
- is the array sorted?
- size limits on any kind on the lists?
2. Assumptions:
- a keyboard and a USB always have a price > 0
- prices are always positive integers
- no duplicates within the same list of a product's prices
- not sorted (although it make sense for a store)
- from the problem description, we know the lists may or may not be equal
in length, and that there'll always be between 1 and 1000 items for
both a USB or keyboard (referred tp here as 'products')
Idea 1: using for loops
- esstenially re-implement naive two sum
- use for loops to record all combinations
- take the max of these combinations that is <= budget, and return it
- if all combos are > budget, then return -1
"""
def get_money_spent(keyboards, drives, b):
max_combo = 0
for k_price in keyboards:
for d_price in drives:
combo = k_price + d_price
if combo <= b and k_price > 0 and (d_price > 0):
if combo > max_combo:
max_combo = combo
if max_combo == 0:
max_combo = -1
return max_combo
'\nBig O Complexity:\n\nTime: The runtime of this function rises asymptotically with respect to the\n sizes of both keyboards and drives. Since we have defined the process\n to finding all combinations of the prices using nested for loops, the\n average case runtime of this function will be O(n * m).\n\nSpace: This functions uses only local variables, so its memory usages is\n independent of the input. It is therefore O(1).\n\n' |
# Constants for browser located in this file.
# CONFIG DIRECTORY NAMES
DIRECTORY_CONFIGURATIONS = 'configurations'
DIRECTORY_TOPICS = 'topics'
DIRECTORY_AVRO_SCHEMAS = 'avro_schemas'
DIRECTORY_DEPLOYMENT_SCRIPTS = 'deployment_scripts'
# CONFIG FILENAMES
FILE_MAIN_CONFIG = 'main_config.yml'
FILE_LOGGER_CONFIG = 'logger_config.yml'
FILE_AVRO_TOPICS = 'avro_topics.yml'
FILE_UI = 'splash.html'
# INCOMING REQUEST PARAMS
REQUEST_SEARCH_STRING_KEY = 'searchParam'
REQUEST_ENVIRONMENT_KEY = 'environment'
REQUEST_INCLUDE_KAFKA_METADATA_KEY = 'includeKafkaMetadata'
REQUEST_INCLUDE_DELIMITER_KEY = 'includeDelimiter'
REQUEST_OTHER_TOPIC_KEY = 'otherTopic'
REQUEST_JSON_TOPICS_KEY = 'json_topics'
REQUEST_AVRO_TOPICS_KEY = 'avro_topics'
REQUEST_NOT_BEFORE_KEY = 'notBefore'
REQUEST_SEARCH_COUNT_KEY = 'search_count'
REQUEST_UI_FORM_JSON_TOPICS_KEY = 'json_topics[]'
REQUEST_UI_FORM_AVRO_TOPICS_KEY = 'avro_topics[]'
# REQUEST_PARAMS
PARAM_SEARCH_STRING_KEY = 'search_string'
PARAM_ENVIRONMENT_KEY = 'environment'
PARAM_INCLUDE_KAFKA_METADATA_KEY = 'include_kafka_metadata'
PARAM_INCLUDE_DELIMITER_KEY = 'delimiter'
PARAM_OTHER_TOPIC_KEY = 'other_topic'
PARAM_JSON_TOPICS_KEY = 'json_topics'
PARAM_AVRO_TOPICS_KEY = 'avro_topics'
PARAM_NOT_BEFORE_KEY = 'not_before'
PARAM_SEARCH_COUNT_KEY = 'search_count'
# RESPONSE KEYS
RESPONSE_JSON_TOPICS_PREFIX = 'JSON_TOPIC_'
RESPONSE_AVRO_TOPICS_PREFIX = 'AVRO_TOPIC_'
RESPONSE_ERROR_KEY = 'ERROR'
# LOGGER
LOGGER_NAME = "browser_request_logger"
LOGGER_DISABLE_KEY = 'logger.enable'
LOGGER_PATH_KEY = 'logger.requests.path'
| directory_configurations = 'configurations'
directory_topics = 'topics'
directory_avro_schemas = 'avro_schemas'
directory_deployment_scripts = 'deployment_scripts'
file_main_config = 'main_config.yml'
file_logger_config = 'logger_config.yml'
file_avro_topics = 'avro_topics.yml'
file_ui = 'splash.html'
request_search_string_key = 'searchParam'
request_environment_key = 'environment'
request_include_kafka_metadata_key = 'includeKafkaMetadata'
request_include_delimiter_key = 'includeDelimiter'
request_other_topic_key = 'otherTopic'
request_json_topics_key = 'json_topics'
request_avro_topics_key = 'avro_topics'
request_not_before_key = 'notBefore'
request_search_count_key = 'search_count'
request_ui_form_json_topics_key = 'json_topics[]'
request_ui_form_avro_topics_key = 'avro_topics[]'
param_search_string_key = 'search_string'
param_environment_key = 'environment'
param_include_kafka_metadata_key = 'include_kafka_metadata'
param_include_delimiter_key = 'delimiter'
param_other_topic_key = 'other_topic'
param_json_topics_key = 'json_topics'
param_avro_topics_key = 'avro_topics'
param_not_before_key = 'not_before'
param_search_count_key = 'search_count'
response_json_topics_prefix = 'JSON_TOPIC_'
response_avro_topics_prefix = 'AVRO_TOPIC_'
response_error_key = 'ERROR'
logger_name = 'browser_request_logger'
logger_disable_key = 'logger.enable'
logger_path_key = 'logger.requests.path' |
""" For your information:
class Node(object):
def __init__(self, data=None):
self.data = data
self.next = None
"""
def front_back_split(source, front, back):
if not source or not front or not back or not source.next:
raise Exception()
length=0
temp=source
while source:
length+=1
source=source.next
for i in range(length//2+length%2):
if i==0:
front.data=temp.data
else:
front.next=Node(temp.data)
front=front.next
temp=temp.next
for i in range(length//2):
if i==0:
back.data=temp.data
else:
back.next=Node(temp.data)
back=back.next
temp=temp.next | """ For your information:
class Node(object):
def __init__(self, data=None):
self.data = data
self.next = None
"""
def front_back_split(source, front, back):
if not source or not front or (not back) or (not source.next):
raise exception()
length = 0
temp = source
while source:
length += 1
source = source.next
for i in range(length // 2 + length % 2):
if i == 0:
front.data = temp.data
else:
front.next = node(temp.data)
front = front.next
temp = temp.next
for i in range(length // 2):
if i == 0:
back.data = temp.data
else:
back.next = node(temp.data)
back = back.next
temp = temp.next |
#
# PySNMP MIB module SYMMSYNCE (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/neermitt/Dev/kusanagi/mibs.snmplabs.com/asn1/SYMMSYNCE
# Produced by pysmi-0.3.4 at Tue Jul 30 11:35:09 2019
# On host NEERMITT-M-J0NV platform Darwin version 18.6.0 by user neermitt
# Using Python version 3.7.4 (default, Jul 9 2019, 18:13:23)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion")
entPhysicalIndex, = mibBuilder.importSymbols("ENTITY-MIB", "entPhysicalIndex")
ifNumber, ifIndex = mibBuilder.importSymbols("IF-MIB", "ifNumber", "ifIndex")
ModuleCompliance, NotificationGroup, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup", "ObjectGroup")
Bits, Unsigned32, Counter32, ModuleIdentity, Integer32, TimeTicks, IpAddress, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, MibIdentifier, NotificationType, iso, Counter64, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "Unsigned32", "Counter32", "ModuleIdentity", "Integer32", "TimeTicks", "IpAddress", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "MibIdentifier", "NotificationType", "iso", "Counter64", "Gauge32")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
EnableValue, symmPhysicalSignal = mibBuilder.importSymbols("SYMM-COMMON-SMI", "EnableValue", "symmPhysicalSignal")
symmSyncE = ModuleIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8))
symmSyncE.setRevisions(('2011-02-24 17:47',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: symmSyncE.setRevisionsDescriptions(('Symmetricom common SyncE',))
if mibBuilder.loadTexts: symmSyncE.setLastUpdated('201102241746Z')
if mibBuilder.loadTexts: symmSyncE.setOrganization('Symmetricom')
if mibBuilder.loadTexts: symmSyncE.setContactInfo('Symmetricom Technical Support 1-888-367-7966 toll free USA 1-408-428-7907 worldwide Support@symmetricom.com')
if mibBuilder.loadTexts: symmSyncE.setDescription('This is the Symmetricom Common MIB for SyncE. It has two main nodes: SyncE status and SyncE configuration.')
class SYNCEPQLMODE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("bidirectional", 1), ("unidirectional", 2))
class DateAndTime(TextualConvention, OctetString):
description = "A date-time specification. field octets contents range ----- ------ -------- ----- 1 1-2 year* 0..65536 2 3 month 1..12 3 4 day 1..31 4 5 hour 0..23 5 6 minutes 0..59 6 7 seconds 0..60 (use 60 for leap-second) 7 8 deci-seconds 0..9 8 9 direction from UTC '+' / '-' 9 10 hours from UTC* 0..13 10 11 minutes from UTC 0..59 * Notes: - the value of year is in network-byte order - daylight saving time in New Zealand is +13 For example, Tuesday May 26, 1992 at 1:30:15 PM EDT would be displayed as: 1992-5-26,13:30:15.0,-4:0 Note that if only local time is known, then timezone information (fields 8-10) is not present."
status = 'current'
displayHint = '2d-1d-1d,1d:1d:1d.1d,1a1d:1d'
subtypeSpec = OctetString.subtypeSpec + ConstraintsUnion(ValueSizeConstraint(8, 8), ValueSizeConstraint(11, 11), )
class TLatAndLon(TextualConvention, OctetString):
description = "antenna latitude and longitude specification. field octets contents range ----- ------ -------- ----- 1 1 +/-180 deg '+' / '-' 2 2 degree 0..180 3 3 minute 0..59 4 4 second 0..59 5 5 second fraction 0..99 +/- dd:mm:ss.ss "
status = 'current'
displayHint = '1a1d:1d:1d.1d'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(5, 5)
fixedLength = 5
class TAntHeight(TextualConvention, OctetString):
description = "antenna height specification. field octets contents range ----- ------ -------- ----- 1 1 +/- '+' / '-' 2 2-3 meter 0..10000 3 4 meter fraction 0..99 +/- hh.hh "
status = 'current'
displayHint = '1a2d.1d'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(4, 4)
fixedLength = 4
class TLocalTimeOffset(TextualConvention, OctetString):
description = "A local time offset specification. field octets contents range ----- ------ -------- ----- 1 1 direction from UTC '+' / '-' 2 2 hours from UTC* 0..13 3 3 minutes from UTC 0..59 * Notes: - the value of year is in network-byte order - The hours range is 0..13 For example, the -6 local time offset would be displayed as: -6:0 "
status = 'current'
displayHint = '1a1d:1d'
subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(3, 3)
fixedLength = 3
class TSsm(TextualConvention, Integer32):
description = 'The ssm hex code'
status = 'current'
displayHint = 'x'
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 255)
syncEStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1))
syncEOutputStatusTable = MibTable((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1), )
if mibBuilder.loadTexts: syncEOutputStatusTable.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusTable.setDescription("SyncE output status table. It monitors whether ESMC and QL are enabled or disabled. SyncE 'output' indicates that the port is intended as a SyncE clock master port.")
syncEOutputStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "SYMMSYNCE", "syncEOutputStatusIndex"))
if mibBuilder.loadTexts: syncEOutputStatusEntry.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusEntry.setDescription('An entry of the SyncE output status table. Table index is ifIndex (port and interface index).')
syncEOutputStatusIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1000)))
if mibBuilder.loadTexts: syncEOutputStatusIndex.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusIndex.setDescription('Local index of the SyncE output status table.')
syncEOutputEsmcStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 2), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: syncEOutputEsmcStatus.setStatus('current')
if mibBuilder.loadTexts: syncEOutputEsmcStatus.setDescription('SyncE output port ESMC state. It can be Enable (1) or Disable (2). If ESMC state is disabled, ESMC is not used.')
syncEOutputStatusRxQL = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: syncEOutputStatusRxQL.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusRxQL.setDescription("Received QL value. This is the SSM value in the incoming ESMC. Its value can be actual or 'n/a.' In the asynchronous mode the SSM value is 'n/a.'")
syncEOutputStatusTxQL = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: syncEOutputStatusTxQL.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusTxQL.setDescription("Transmitted QL value. This is the SSM value in the outgoing ESMC. Its value can be actual or 'n/a.' In the asynchronous mode the SSM value is 'n/a.'")
syncEConfig = MibIdentifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2))
syncEOutputConfigTable = MibTable((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1), )
if mibBuilder.loadTexts: syncEOutputConfigTable.setStatus('current')
if mibBuilder.loadTexts: syncEOutputConfigTable.setDescription('SyncE output port configuration table.')
syncEOutputConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "SYMMSYNCE", "syncEOutputConfigIndex"))
if mibBuilder.loadTexts: syncEOutputConfigEntry.setStatus('current')
if mibBuilder.loadTexts: syncEOutputConfigEntry.setDescription('An entry of the SyncE output configuration table. Table index is IfIndex (port and interface index).')
syncEOutputConfigIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1000)))
if mibBuilder.loadTexts: syncEOutputConfigIndex.setStatus('current')
if mibBuilder.loadTexts: syncEOutputConfigIndex.setDescription('Local index of the SyncE output configuration table.')
syncEOutputEsmcState = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 2), EnableValue().clone(2)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: syncEOutputEsmcState.setStatus('current')
if mibBuilder.loadTexts: syncEOutputEsmcState.setDescription('SyncE output port ESMC state. It can be either Enable (1) or Disable (2). If ESMC is disabled, ESMC messages are not sent.')
syncEOutputQLState = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 3), EnableValue().clone(2)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: syncEOutputQLState.setStatus('current')
if mibBuilder.loadTexts: syncEOutputQLState.setDescription('SyncE output port QL state. It can either Enable (1) or Disable (2). ')
syncEOutputQLMode = MibTableColumn((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 4), SYNCEPQLMODE().clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: syncEOutputQLMode.setStatus('current')
if mibBuilder.loadTexts: syncEOutputQLMode.setDescription('SyncE output port output QL mode. It can be unidirectional or bidirectional. In the unidirectional mode, the outgoing QL value is independent of the incoming QL value. In the bidirectional mode, the outgoing QL value is changed to DNU if it is the same as the incoming QL value. ')
syncEConformance = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3))
if mibBuilder.loadTexts: syncEConformance.setStatus('current')
if mibBuilder.loadTexts: syncEConformance.setDescription('This subtree contains conformance statements for the SYMMETRICOM-LED-MIB module. ')
syncECompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 1))
syncEBasicCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 1, 1)).setObjects(("SYMMSYNCE", "syncEOutputStatusGroup"), ("SYMMSYNCE", "syncEConfigGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
syncEBasicCompliance = syncEBasicCompliance.setStatus('current')
if mibBuilder.loadTexts: syncEBasicCompliance.setDescription('The compliance statement for SNMP entities which have SyncE packet service.')
syncEUocGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2))
syncEOutputStatusGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2, 1)).setObjects(("SYMMSYNCE", "syncEOutputEsmcStatus"), ("SYMMSYNCE", "syncEOutputStatusRxQL"), ("SYMMSYNCE", "syncEOutputStatusTxQL"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
syncEOutputStatusGroup = syncEOutputStatusGroup.setStatus('current')
if mibBuilder.loadTexts: syncEOutputStatusGroup.setDescription('Description.')
syncEConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2, 2)).setObjects(("SYMMSYNCE", "syncEOutputEsmcState"), ("SYMMSYNCE", "syncEOutputQLState"), ("SYMMSYNCE", "syncEOutputQLMode"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
syncEConfigGroup = syncEConfigGroup.setStatus('current')
if mibBuilder.loadTexts: syncEConfigGroup.setDescription('A collection of objects providing information applicable to SyncE configuration group.')
mibBuilder.exportSymbols("SYMMSYNCE", syncEOutputQLState=syncEOutputQLState, TLocalTimeOffset=TLocalTimeOffset, syncEOutputStatusEntry=syncEOutputStatusEntry, TLatAndLon=TLatAndLon, syncEOutputStatusTable=syncEOutputStatusTable, syncEOutputEsmcStatus=syncEOutputEsmcStatus, syncEBasicCompliance=syncEBasicCompliance, syncEConfigGroup=syncEConfigGroup, TAntHeight=TAntHeight, syncEOutputConfigIndex=syncEOutputConfigIndex, SYNCEPQLMODE=SYNCEPQLMODE, syncEStatus=syncEStatus, syncEOutputStatusIndex=syncEOutputStatusIndex, TSsm=TSsm, syncEOutputConfigEntry=syncEOutputConfigEntry, syncEOutputStatusRxQL=syncEOutputStatusRxQL, DateAndTime=DateAndTime, PYSNMP_MODULE_ID=symmSyncE, syncEOutputQLMode=syncEOutputQLMode, syncEOutputEsmcState=syncEOutputEsmcState, syncECompliances=syncECompliances, syncEOutputStatusGroup=syncEOutputStatusGroup, syncEConfig=syncEConfig, syncEUocGroups=syncEUocGroups, syncEOutputStatusTxQL=syncEOutputStatusTxQL, syncEConformance=syncEConformance, symmSyncE=symmSyncE, syncEOutputConfigTable=syncEOutputConfigTable)
| (object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, value_size_constraint, value_range_constraint, single_value_constraint, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ValueSizeConstraint', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsUnion')
(ent_physical_index,) = mibBuilder.importSymbols('ENTITY-MIB', 'entPhysicalIndex')
(if_number, if_index) = mibBuilder.importSymbols('IF-MIB', 'ifNumber', 'ifIndex')
(module_compliance, notification_group, object_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup', 'ObjectGroup')
(bits, unsigned32, counter32, module_identity, integer32, time_ticks, ip_address, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, mib_identifier, notification_type, iso, counter64, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'Unsigned32', 'Counter32', 'ModuleIdentity', 'Integer32', 'TimeTicks', 'IpAddress', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'MibIdentifier', 'NotificationType', 'iso', 'Counter64', 'Gauge32')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
(enable_value, symm_physical_signal) = mibBuilder.importSymbols('SYMM-COMMON-SMI', 'EnableValue', 'symmPhysicalSignal')
symm_sync_e = module_identity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8))
symmSyncE.setRevisions(('2011-02-24 17:47',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
symmSyncE.setRevisionsDescriptions(('Symmetricom common SyncE',))
if mibBuilder.loadTexts:
symmSyncE.setLastUpdated('201102241746Z')
if mibBuilder.loadTexts:
symmSyncE.setOrganization('Symmetricom')
if mibBuilder.loadTexts:
symmSyncE.setContactInfo('Symmetricom Technical Support 1-888-367-7966 toll free USA 1-408-428-7907 worldwide Support@symmetricom.com')
if mibBuilder.loadTexts:
symmSyncE.setDescription('This is the Symmetricom Common MIB for SyncE. It has two main nodes: SyncE status and SyncE configuration.')
class Syncepqlmode(Integer32):
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2))
named_values = named_values(('bidirectional', 1), ('unidirectional', 2))
class Dateandtime(TextualConvention, OctetString):
description = "A date-time specification. field octets contents range ----- ------ -------- ----- 1 1-2 year* 0..65536 2 3 month 1..12 3 4 day 1..31 4 5 hour 0..23 5 6 minutes 0..59 6 7 seconds 0..60 (use 60 for leap-second) 7 8 deci-seconds 0..9 8 9 direction from UTC '+' / '-' 9 10 hours from UTC* 0..13 10 11 minutes from UTC 0..59 * Notes: - the value of year is in network-byte order - daylight saving time in New Zealand is +13 For example, Tuesday May 26, 1992 at 1:30:15 PM EDT would be displayed as: 1992-5-26,13:30:15.0,-4:0 Note that if only local time is known, then timezone information (fields 8-10) is not present."
status = 'current'
display_hint = '2d-1d-1d,1d:1d:1d.1d,1a1d:1d'
subtype_spec = OctetString.subtypeSpec + constraints_union(value_size_constraint(8, 8), value_size_constraint(11, 11))
class Tlatandlon(TextualConvention, OctetString):
description = "antenna latitude and longitude specification. field octets contents range ----- ------ -------- ----- 1 1 +/-180 deg '+' / '-' 2 2 degree 0..180 3 3 minute 0..59 4 4 second 0..59 5 5 second fraction 0..99 +/- dd:mm:ss.ss "
status = 'current'
display_hint = '1a1d:1d:1d.1d'
subtype_spec = OctetString.subtypeSpec + value_size_constraint(5, 5)
fixed_length = 5
class Tantheight(TextualConvention, OctetString):
description = "antenna height specification. field octets contents range ----- ------ -------- ----- 1 1 +/- '+' / '-' 2 2-3 meter 0..10000 3 4 meter fraction 0..99 +/- hh.hh "
status = 'current'
display_hint = '1a2d.1d'
subtype_spec = OctetString.subtypeSpec + value_size_constraint(4, 4)
fixed_length = 4
class Tlocaltimeoffset(TextualConvention, OctetString):
description = "A local time offset specification. field octets contents range ----- ------ -------- ----- 1 1 direction from UTC '+' / '-' 2 2 hours from UTC* 0..13 3 3 minutes from UTC 0..59 * Notes: - the value of year is in network-byte order - The hours range is 0..13 For example, the -6 local time offset would be displayed as: -6:0 "
status = 'current'
display_hint = '1a1d:1d'
subtype_spec = OctetString.subtypeSpec + value_size_constraint(3, 3)
fixed_length = 3
class Tssm(TextualConvention, Integer32):
description = 'The ssm hex code'
status = 'current'
display_hint = 'x'
subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 255)
sync_e_status = mib_identifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1))
sync_e_output_status_table = mib_table((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1))
if mibBuilder.loadTexts:
syncEOutputStatusTable.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusTable.setDescription("SyncE output status table. It monitors whether ESMC and QL are enabled or disabled. SyncE 'output' indicates that the port is intended as a SyncE clock master port.")
sync_e_output_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'SYMMSYNCE', 'syncEOutputStatusIndex'))
if mibBuilder.loadTexts:
syncEOutputStatusEntry.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusEntry.setDescription('An entry of the SyncE output status table. Table index is ifIndex (port and interface index).')
sync_e_output_status_index = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 1000)))
if mibBuilder.loadTexts:
syncEOutputStatusIndex.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusIndex.setDescription('Local index of the SyncE output status table.')
sync_e_output_esmc_status = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 2), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
syncEOutputEsmcStatus.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputEsmcStatus.setDescription('SyncE output port ESMC state. It can be Enable (1) or Disable (2). If ESMC state is disabled, ESMC is not used.')
sync_e_output_status_rx_ql = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
syncEOutputStatusRxQL.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusRxQL.setDescription("Received QL value. This is the SSM value in the incoming ESMC. Its value can be actual or 'n/a.' In the asynchronous mode the SSM value is 'n/a.'")
sync_e_output_status_tx_ql = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 1, 1, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
syncEOutputStatusTxQL.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusTxQL.setDescription("Transmitted QL value. This is the SSM value in the outgoing ESMC. Its value can be actual or 'n/a.' In the asynchronous mode the SSM value is 'n/a.'")
sync_e_config = mib_identifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2))
sync_e_output_config_table = mib_table((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1))
if mibBuilder.loadTexts:
syncEOutputConfigTable.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputConfigTable.setDescription('SyncE output port configuration table.')
sync_e_output_config_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'SYMMSYNCE', 'syncEOutputConfigIndex'))
if mibBuilder.loadTexts:
syncEOutputConfigEntry.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputConfigEntry.setDescription('An entry of the SyncE output configuration table. Table index is IfIndex (port and interface index).')
sync_e_output_config_index = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 1000)))
if mibBuilder.loadTexts:
syncEOutputConfigIndex.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputConfigIndex.setDescription('Local index of the SyncE output configuration table.')
sync_e_output_esmc_state = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 2), enable_value().clone(2)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
syncEOutputEsmcState.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputEsmcState.setDescription('SyncE output port ESMC state. It can be either Enable (1) or Disable (2). If ESMC is disabled, ESMC messages are not sent.')
sync_e_output_ql_state = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 3), enable_value().clone(2)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
syncEOutputQLState.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputQLState.setDescription('SyncE output port QL state. It can either Enable (1) or Disable (2). ')
sync_e_output_ql_mode = mib_table_column((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 2, 1, 1, 4), syncepqlmode().clone(1)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
syncEOutputQLMode.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputQLMode.setDescription('SyncE output port output QL mode. It can be unidirectional or bidirectional. In the unidirectional mode, the outgoing QL value is independent of the incoming QL value. In the bidirectional mode, the outgoing QL value is changed to DNU if it is the same as the incoming QL value. ')
sync_e_conformance = object_identity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3))
if mibBuilder.loadTexts:
syncEConformance.setStatus('current')
if mibBuilder.loadTexts:
syncEConformance.setDescription('This subtree contains conformance statements for the SYMMETRICOM-LED-MIB module. ')
sync_e_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 1))
sync_e_basic_compliance = module_compliance((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 1, 1)).setObjects(('SYMMSYNCE', 'syncEOutputStatusGroup'), ('SYMMSYNCE', 'syncEConfigGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sync_e_basic_compliance = syncEBasicCompliance.setStatus('current')
if mibBuilder.loadTexts:
syncEBasicCompliance.setDescription('The compliance statement for SNMP entities which have SyncE packet service.')
sync_e_uoc_groups = mib_identifier((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2))
sync_e_output_status_group = object_group((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2, 1)).setObjects(('SYMMSYNCE', 'syncEOutputEsmcStatus'), ('SYMMSYNCE', 'syncEOutputStatusRxQL'), ('SYMMSYNCE', 'syncEOutputStatusTxQL'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sync_e_output_status_group = syncEOutputStatusGroup.setStatus('current')
if mibBuilder.loadTexts:
syncEOutputStatusGroup.setDescription('Description.')
sync_e_config_group = object_group((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2, 8, 3, 2, 2)).setObjects(('SYMMSYNCE', 'syncEOutputEsmcState'), ('SYMMSYNCE', 'syncEOutputQLState'), ('SYMMSYNCE', 'syncEOutputQLMode'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sync_e_config_group = syncEConfigGroup.setStatus('current')
if mibBuilder.loadTexts:
syncEConfigGroup.setDescription('A collection of objects providing information applicable to SyncE configuration group.')
mibBuilder.exportSymbols('SYMMSYNCE', syncEOutputQLState=syncEOutputQLState, TLocalTimeOffset=TLocalTimeOffset, syncEOutputStatusEntry=syncEOutputStatusEntry, TLatAndLon=TLatAndLon, syncEOutputStatusTable=syncEOutputStatusTable, syncEOutputEsmcStatus=syncEOutputEsmcStatus, syncEBasicCompliance=syncEBasicCompliance, syncEConfigGroup=syncEConfigGroup, TAntHeight=TAntHeight, syncEOutputConfigIndex=syncEOutputConfigIndex, SYNCEPQLMODE=SYNCEPQLMODE, syncEStatus=syncEStatus, syncEOutputStatusIndex=syncEOutputStatusIndex, TSsm=TSsm, syncEOutputConfigEntry=syncEOutputConfigEntry, syncEOutputStatusRxQL=syncEOutputStatusRxQL, DateAndTime=DateAndTime, PYSNMP_MODULE_ID=symmSyncE, syncEOutputQLMode=syncEOutputQLMode, syncEOutputEsmcState=syncEOutputEsmcState, syncECompliances=syncECompliances, syncEOutputStatusGroup=syncEOutputStatusGroup, syncEConfig=syncEConfig, syncEUocGroups=syncEUocGroups, syncEOutputStatusTxQL=syncEOutputStatusTxQL, syncEConformance=syncEConformance, symmSyncE=symmSyncE, syncEOutputConfigTable=syncEOutputConfigTable) |
def get_head(line, releases, **kwargs):
for release in releases:
if "Django {} release notes".format(release) in line:
return release
return False
def get_urls(releases, **kwargs):
urls = []
for release in releases:
urls.append("https://raw.githubusercontent.com/django/django/master/docs/releases/{v}.txt"
.format(v=release))
return urls, []
| def get_head(line, releases, **kwargs):
for release in releases:
if 'Django {} release notes'.format(release) in line:
return release
return False
def get_urls(releases, **kwargs):
urls = []
for release in releases:
urls.append('https://raw.githubusercontent.com/django/django/master/docs/releases/{v}.txt'.format(v=release))
return (urls, []) |
# Copyright - see copyright.txt
class Predicate:
"""Predicate is one specific ``if'' encountered during the program execution.
"""
def __init__(self, st, result):
self.symtype = st
self.result = result
def getVars(self):
return self.symtype.getVars()
def __eq__(self, other):
if isinstance(other, Predicate):
res = self.result == other.result and self.symtype.symbolicEq(other.symtype)
return res
else:
return False
def __hash__(self):
return hash(self.symtype)
def __str__(self):
return self.symtype.toString() + " (%s)" % (self.result)
def __repr__(self):
return self.__str__()
def negate(self):
"""Negates the current predicate"""
assert(self.result is not None)
self.result = not self.result
| class Predicate:
"""Predicate is one specific ``if'' encountered during the program execution.
"""
def __init__(self, st, result):
self.symtype = st
self.result = result
def get_vars(self):
return self.symtype.getVars()
def __eq__(self, other):
if isinstance(other, Predicate):
res = self.result == other.result and self.symtype.symbolicEq(other.symtype)
return res
else:
return False
def __hash__(self):
return hash(self.symtype)
def __str__(self):
return self.symtype.toString() + ' (%s)' % self.result
def __repr__(self):
return self.__str__()
def negate(self):
"""Negates the current predicate"""
assert self.result is not None
self.result = not self.result |
# Scrapy settings for news project
#
# For simplicity, this file contains only the most important settings by
# default. All the other settings are documented here:
#
# http://doc.scrapy.org/topics/settings.html
#
BOT_NAME = 'news'
BOT_VERSION = '1.0'
SPIDER_MODULES = ['news.spiders']
NEWSPIDER_MODULE = 'news.spiders'
USER_AGENT = '%s/%s' % (BOT_NAME, BOT_VERSION)
| bot_name = 'news'
bot_version = '1.0'
spider_modules = ['news.spiders']
newspider_module = 'news.spiders'
user_agent = '%s/%s' % (BOT_NAME, BOT_VERSION) |
# Challenge name: Fun with an interview question
# Challenge link: https://danielbmarkham.com/fun-with-an-interview-question/
# Completed by Zack Sargent on: Feb. 6th, 2021
# this was done after I did it in JavaScript.
# see ./StringToArray.js for the Javascript version.
"""
Prompt:
Input: "aaaabbbcca"
Output: [("a", 4), ("b", 3), ("c", 2), ("a", 1)]
Write a function that converts the input to the output.
"""
def make_array(chars: str):
currentChar = chars[0]
times = 1
output = []
for char in chars[1:]:
if char == currentChar:
times += 1
else:
output.append((currentChar, times))
currentChar = char
times = 1
output.append((currentChar, times))
return output
def format_array(array: list) -> str:
return str(array).replace("'", '"')
print(format_array(make_array("aaaabbbcca")))
# ok so maybe this person just wanted a solution in F#
| """
Prompt:
Input: "aaaabbbcca"
Output: [("a", 4), ("b", 3), ("c", 2), ("a", 1)]
Write a function that converts the input to the output.
"""
def make_array(chars: str):
current_char = chars[0]
times = 1
output = []
for char in chars[1:]:
if char == currentChar:
times += 1
else:
output.append((currentChar, times))
current_char = char
times = 1
output.append((currentChar, times))
return output
def format_array(array: list) -> str:
return str(array).replace("'", '"')
print(format_array(make_array('aaaabbbcca'))) |
class Mapper(object):
@staticmethod
def map(enum, value):
result = None
for enum_value in enum:
if Mapper._normalize(value) == Mapper._normalize(enum_value.value):
result = enum_value
return result
@staticmethod
def _normalize(value: str):
return value.lower().replace(" ", "")
| class Mapper(object):
@staticmethod
def map(enum, value):
result = None
for enum_value in enum:
if Mapper._normalize(value) == Mapper._normalize(enum_value.value):
result = enum_value
return result
@staticmethod
def _normalize(value: str):
return value.lower().replace(' ', '') |
def city_country(city, country):
return(city.title() + ", " + country.title())
city = city_country('santiago', 'chile')
print(city)
city = city_country('ushuaia', 'argentina')
print(city)
city = city_country('longyearbyen', 'svalbard')
print(city)
| def city_country(city, country):
return city.title() + ', ' + country.title()
city = city_country('santiago', 'chile')
print(city)
city = city_country('ushuaia', 'argentina')
print(city)
city = city_country('longyearbyen', 'svalbard')
print(city) |
# -*- coding: utf-8 -*-
description = 'setup for Beckhoff PLC mtt devices on PANDA'
group = 'lowlevel'
devices = dict(
mtt = device('nicos.devices.generic.Axis',
description = 'Virtual MTT axis that exchanges block automatically '
'(must be used in "automatic" mode).',
motor = device('nicos.devices.generic.VirtualMotor',
abslimits = (-122, -25),
unit = 'deg',
speed = 1,
curvalue = -40,
),
precision = 0.001,
),
)
| description = 'setup for Beckhoff PLC mtt devices on PANDA'
group = 'lowlevel'
devices = dict(mtt=device('nicos.devices.generic.Axis', description='Virtual MTT axis that exchanges block automatically (must be used in "automatic" mode).', motor=device('nicos.devices.generic.VirtualMotor', abslimits=(-122, -25), unit='deg', speed=1, curvalue=-40), precision=0.001)) |
def pstrip(s, prefix):
"""Prefix strip
>>> pstrip('foo_oof', 'foo_')
'oof'
>>> pstrip('baroof', 'foo_')
'baroof'
"""
i = len(prefix)
if s[:i] == prefix:
return s[i:]
return s
def sstrip(s, suffix):
"""Suffix strip
>>> sstrip('foo.oof', '.oof')
'foo'
>>> sstrip('baroof', '.oof')
'baroof'
"""
i = - len(suffix)
if s[i:] == suffix:
return s[:i]
return s
| def pstrip(s, prefix):
"""Prefix strip
>>> pstrip('foo_oof', 'foo_')
'oof'
>>> pstrip('baroof', 'foo_')
'baroof'
"""
i = len(prefix)
if s[:i] == prefix:
return s[i:]
return s
def sstrip(s, suffix):
"""Suffix strip
>>> sstrip('foo.oof', '.oof')
'foo'
>>> sstrip('baroof', '.oof')
'baroof'
"""
i = -len(suffix)
if s[i:] == suffix:
return s[:i]
return s |
"""
A list of particle properties.
"""
c = 3*10**8 # m/sec
pion_tau = 2.6*(10**-8) # sec
muon_tau = 2.2*(10**-6) # sec
pion_mass = 139.6 # MeV
muon_mass = 105.7 # MeV
electron_mass = 0.5 # MeV
electron_ratio = 10**4 | """
A list of particle properties.
"""
c = 3 * 10 ** 8
pion_tau = 2.6 * 10 ** (-8)
muon_tau = 2.2 * 10 ** (-6)
pion_mass = 139.6
muon_mass = 105.7
electron_mass = 0.5
electron_ratio = 10 ** 4 |
class Name:
def __init__(self, name, age):
self.name = name
self.age = age
def age_next(self):
return self.age + 10
def name_len(self):
return 'Length of name is {}'.format(len(self.name))
class Education(Name):
def __init__(self, name, age, school, btech, ms):
Name.__init__(self, name, age)
self.school = school
self.btech = btech
self.ms = ms
def get_edu_info(self):
return'{} is the name of the school'.format(self.school), \
'{} is the name of the undergrad college'.format(self.btech),\
'{} is the name of the grad college'.format(self.ms), '{} is the name of the person.'.format(self.name),\
'{} is the age of the person'.format(self.age)
print ("Hey!")
| class Name:
def __init__(self, name, age):
self.name = name
self.age = age
def age_next(self):
return self.age + 10
def name_len(self):
return 'Length of name is {}'.format(len(self.name))
class Education(Name):
def __init__(self, name, age, school, btech, ms):
Name.__init__(self, name, age)
self.school = school
self.btech = btech
self.ms = ms
def get_edu_info(self):
return ('{} is the name of the school'.format(self.school), '{} is the name of the undergrad college'.format(self.btech), '{} is the name of the grad college'.format(self.ms), '{} is the name of the person.'.format(self.name), '{} is the age of the person'.format(self.age))
print('Hey!') |
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 12 13:32:50 2018
@author: afilbrun
"""
# Problem 4
palindrome = [];
for first in range (100,1000):
for second in range (100,1000):
num = first * second;
if str(num) == str(num)[::-1]:
palindrome.append(num)
print (max(palindrome)); | """
Created on Thu Jul 12 13:32:50 2018
@author: afilbrun
"""
palindrome = []
for first in range(100, 1000):
for second in range(100, 1000):
num = first * second
if str(num) == str(num)[::-1]:
palindrome.append(num)
print(max(palindrome)) |
def batch( qs, batch_size=1000 ):
"""
Returns a ( start, end, total, queryset ) tuple for each batch in the given
queryset.
Usage:
# Make sure to order your querset
article_qs = Article.objects.order_by('id')
for start, end, total, qs in batch_qs(article_qs):
print "Now processing %s - %s of %s" % (start + 1, end, total)
for article in qs:
print article.body
"""
total = qs.count()
for start in range( 0, total, batch_size ):
end = min( start + batch_size, total )
yield ( start, end, total, qs[ start:end ] )
| def batch(qs, batch_size=1000):
"""
Returns a ( start, end, total, queryset ) tuple for each batch in the given
queryset.
Usage:
# Make sure to order your querset
article_qs = Article.objects.order_by('id')
for start, end, total, qs in batch_qs(article_qs):
print "Now processing %s - %s of %s" % (start + 1, end, total)
for article in qs:
print article.body
"""
total = qs.count()
for start in range(0, total, batch_size):
end = min(start + batch_size, total)
yield (start, end, total, qs[start:end]) |
class Constants:
default_config_folder = "config"
default_modules_folder = "modules"
default_deployment_template_file = "deployment.template.json"
default_deployment_debug_template_file = "deployment.debug.template.json"
default_platform = "amd64"
deployment_template_suffix = ".template.json"
deployment_template_schema_version = "1.0.0"
moduledir_placeholder_pattern = r'\${MODULEDIR<(.+)>(\..+)?}'
deployment_template_schema_url = "http://json.schemastore.org/azure-iot-edge-deployment-template-2.0"
deployment_manifest_schema_url = "http://json.schemastore.org/azure-iot-edge-deployment-2.0"
azure_cli_iot_ext_source_url = "https://github.com/Azure/azure-iot-cli-extension/releases/download/v0.8.6/azure_cli_iot_ext-0.8.6-py2.py3-none-any.whl"
| class Constants:
default_config_folder = 'config'
default_modules_folder = 'modules'
default_deployment_template_file = 'deployment.template.json'
default_deployment_debug_template_file = 'deployment.debug.template.json'
default_platform = 'amd64'
deployment_template_suffix = '.template.json'
deployment_template_schema_version = '1.0.0'
moduledir_placeholder_pattern = '\\${MODULEDIR<(.+)>(\\..+)?}'
deployment_template_schema_url = 'http://json.schemastore.org/azure-iot-edge-deployment-template-2.0'
deployment_manifest_schema_url = 'http://json.schemastore.org/azure-iot-edge-deployment-2.0'
azure_cli_iot_ext_source_url = 'https://github.com/Azure/azure-iot-cli-extension/releases/download/v0.8.6/azure_cli_iot_ext-0.8.6-py2.py3-none-any.whl' |
# -*- coding: utf-8 -*-
def ten_sum_exists(matrix):
"""Calculate if the numbers provided can sum to 10.
:Parameter:
matrix: list
:Returns:
boolean, dict
"""
if not isinstance(matrix, list):
return
length = len(matrix)
count = 0
pointer = 0
ten_sum_count = 0
# Capture all the sets that calculate to 10.
calculated_sums = set()
while True:
if count <= length:
if matrix[pointer] + matrix[count] == 10:
calculated_sums.add((matrix[pointer], matrix[count]))
ten_sum_count = ten_sum_count + 1
count = count + 1
if count == length:
count = 0
pointer = pointer + 1
if pointer == length:
break
return ten_sum_count > 0, dict(sums=calculated_sums,
total_sum=ten_sum_count)
if __name__ == '__main__':
works = [9, 29, 8, 9, 28, 1, 9, 4, 5, 20]
wont_work = [1, -5, 8, 0]
custom = [-100, -4, 14, 12, 9, 4, 0]
print(ten_sum_exists(works))
print(ten_sum_exists(wont_work))
print(ten_sum_exists(custom))
| def ten_sum_exists(matrix):
"""Calculate if the numbers provided can sum to 10.
:Parameter:
matrix: list
:Returns:
boolean, dict
"""
if not isinstance(matrix, list):
return
length = len(matrix)
count = 0
pointer = 0
ten_sum_count = 0
calculated_sums = set()
while True:
if count <= length:
if matrix[pointer] + matrix[count] == 10:
calculated_sums.add((matrix[pointer], matrix[count]))
ten_sum_count = ten_sum_count + 1
count = count + 1
if count == length:
count = 0
pointer = pointer + 1
if pointer == length:
break
return (ten_sum_count > 0, dict(sums=calculated_sums, total_sum=ten_sum_count))
if __name__ == '__main__':
works = [9, 29, 8, 9, 28, 1, 9, 4, 5, 20]
wont_work = [1, -5, 8, 0]
custom = [-100, -4, 14, 12, 9, 4, 0]
print(ten_sum_exists(works))
print(ten_sum_exists(wont_work))
print(ten_sum_exists(custom)) |
class PIDController:
def __init__(self, kp, ki, kd, goal):
self.kp = kp
self.ki = ki
self.kd = kd
self.goal = goal
self.error = 0
self.lX = 0
self.dError = 0
self.iError = 0
def correction(self):
return (self.error * self.kp + self.iError*self.ki - (self.dError*self.kd))
def updateError(self, currentPosition):
self.error = self.goal - currentPosition
self.iError = self.iError + self.error
self.dError = currentPosition - self.lX
self.lX = currentPosition
| class Pidcontroller:
def __init__(self, kp, ki, kd, goal):
self.kp = kp
self.ki = ki
self.kd = kd
self.goal = goal
self.error = 0
self.lX = 0
self.dError = 0
self.iError = 0
def correction(self):
return self.error * self.kp + self.iError * self.ki - self.dError * self.kd
def update_error(self, currentPosition):
self.error = self.goal - currentPosition
self.iError = self.iError + self.error
self.dError = currentPosition - self.lX
self.lX = currentPosition |
class HWPDecryptor():
def __init__(self, filepath, key):
self.data = ''
self.key = key
with open(filepath, 'rb') as f:
data = f.read()
self.data = bytearray(data)
def decryption(self):
r = list()
for i in range(0, len(self.data)):
a = self.data[i] ^ self.key
r.append(a)
return bytearray(r)
def save(self, decrypted_data, savepath='result.txt'):
with open(savepath, 'wb') as f:
f.write(decrypted_data)
decryptor = HWPDecryptor('data.txt', 204)
decrypted_data = decryptor.decryption()
decryptor.save(decrypted_data) | class Hwpdecryptor:
def __init__(self, filepath, key):
self.data = ''
self.key = key
with open(filepath, 'rb') as f:
data = f.read()
self.data = bytearray(data)
def decryption(self):
r = list()
for i in range(0, len(self.data)):
a = self.data[i] ^ self.key
r.append(a)
return bytearray(r)
def save(self, decrypted_data, savepath='result.txt'):
with open(savepath, 'wb') as f:
f.write(decrypted_data)
decryptor = hwp_decryptor('data.txt', 204)
decrypted_data = decryptor.decryption()
decryptor.save(decrypted_data) |
class Solution(object):
def divisorGame(self, N):
"""
:type N: int
:rtype: bool
"""
return True if N % 2 == 0 else False | class Solution(object):
def divisor_game(self, N):
"""
:type N: int
:rtype: bool
"""
return True if N % 2 == 0 else False |
def fibonacci(n):
if n == 0:
return 0
elif n == 1:
return 1
else:
return fibonacci(n - 1) + fibonacci(n - 2)
n = int(input("Please enter your number"))
values = [str(fibonacci(x)) for x in range(0, n+1)]
print(",".join(values))
| def fibonacci(n):
if n == 0:
return 0
elif n == 1:
return 1
else:
return fibonacci(n - 1) + fibonacci(n - 2)
n = int(input('Please enter your number'))
values = [str(fibonacci(x)) for x in range(0, n + 1)]
print(','.join(values)) |
RANDOM_SEED = 7 # constant for reproducability
# for training
TRAINING_CONFIG = {
'TYPE': 'single_country', # single_country or country_held_out
'COUNTRY': 'malawi_2016', # malawi_2016, ethiopia_2015
'METRIC': 'est_monthly_phone_cost_pc' # house_has_cellphone or est_monthly_phone_cost_pc
}
# for prediction maps
VIS_CONFIG = {
'COUNTRY_NAME': "Ethiopia", # malawi_2016 -> Malawi, ethiopia_2015 -> Ethiopia
'COUNTRY_ABBRV': 'MWI', # MWI or ETH, but could be any country code in the world
# what type of model to use to predict this country
'TYPE': 'single_country',
'COUNTRY': 'ethiopia_2015',
'METRIC': 'est_monthly_phone_cost_pc'
}
| random_seed = 7
training_config = {'TYPE': 'single_country', 'COUNTRY': 'malawi_2016', 'METRIC': 'est_monthly_phone_cost_pc'}
vis_config = {'COUNTRY_NAME': 'Ethiopia', 'COUNTRY_ABBRV': 'MWI', 'TYPE': 'single_country', 'COUNTRY': 'ethiopia_2015', 'METRIC': 'est_monthly_phone_cost_pc'} |
# Copyright 2019 Zadara Storage, Inc.
# Originally authored by Jeremy Brown - https://github.com/jwbrown77
#
# 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.
def get_antivirus_status(session, return_type=None, **kwargs):
"""
Enables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/engine.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def get_policies(session, return_type=None, **kwargs):
"""
Returns all antivirus policies.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/default_policy.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def enable_antivirus(session, pool_id, return_type=None, **kwargs):
"""
Enables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type pool_id: str
:param pool_id: Pool to create quarantine volume. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
body_values = {'pool': pool_id}
path = '/api/antivirus/engine.json'
return session.post_api(path=path, body=body_values,
return_type=return_type, **kwargs)
def disable_antivirus(session, return_type=None, **kwargs):
"""
Disables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/engine.json'
return session.delete_api(path=path, return_type=return_type, **kwargs)
def update_on_demand_policy(session, run_policy, include_file_types=None, exclude_file_types=None,
scan_subfolders=False, scan_archives=False, primary_action=None,
secondary_action=None, return_type=None, **kwargs):
"""
Updates on demand policy settings
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type run_policy: str
:param run_policy: cron expression that sets scan schedule. For example: "5 0 * * *"
:type include_file_types: list, str
:param include_file_types: scan only specific file types. Can't be used together with exclude_file_types param.
:type exclude_file_types: list, str
:param exclude_file_types: scan all file types, except those provided in this list.
Can't be used together with include_file_types param.
:type scan_subfolders: bool
:param scan_subfolders: Includes subfolders on scan. Default is False
:type scan_archives: bool
:param scan_archives: Includes archives on scan. Default is False
:type primary_action: str
:param primary_action: one of the following values: delete, clean, continue
:param secondary_action: str
:param primary_action: one of the following values: delete, continue
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = '/api/antivirus/update_ods_defaults.json'
file_types_to_scan = 'all'
if include_file_types is not None and exclude_file_types is not None:
raise ValueError("Include_file_types and exclude_file_types can't be used together")
if include_file_types is not None:
file_types_to_scan = 'onlyspecified'
if type(include_file_types) is list:
include_file_types = ','.join(list)
if type(exclude_file_types) is list:
exclude_file_types = ','.join(list)
__validate_primary_action(primary_action)
__validate_secondary_action(secondary_action)
body_values = {'runpolicy': run_policy, 'filetypestoscan': file_types_to_scan,
'includefiletypes': include_file_types, 'excludefiletypes':exclude_file_types,
'scansubfolders': scan_subfolders, 'scanarchives': scan_archives,
'primaryaction': primary_action, 'secondaryaction': secondary_action}
return session.post_api(path=path, body=body_values, return_type=return_type, **kwargs)
def show_quarantined_files(session, return_type=None, **kwargs):
"""
Shows quarantined files
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/quarantined_files.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def restore_quarantined_file(session, file_id, return_type=None, **kwargs):
"""
Restores a quarantined file
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type file_id: str
:param file_id: File to be deleted
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = "/api/antivirus/restore_file/%s" % file_id
return session.post_api(path=path, return_type=return_type, **kwargs)
def delete_quarantined_file(session, file_id, return_type=None, **kwargs):
"""
Deletes a quarantined file
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type file_id: str
:param file_id: File to be deleted
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = "/api/antivirus/delete_file/%s" % file_id
return session.post_api(path=path, return_type=return_type, **kwargs)
def download_volume_log(session, volume_id, return_type='raw', **kwargs):
"""
Downloads antivirus log
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type volume_id: str
:param volume_id: Volume ID. Required.
:type return_type: str
:param return_type: This returns a raw binary stream.
Output should be redirected to a file with a .zip extension.
:rtype: str
:returns: Raw zip file data.
"""
path = '/api/antivirus/log_files/%s' % volume_id
return session.get_api(path=path, return_type=return_type, **kwargs)
def get_vpsa_time(session, **kwargs):
"""
Get a json which contain the timezone of the VPSA
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:rtype: str
:returns: Raw zip file data.
"""
path = '/api/accounts/checklogin.json'
return session.post_api(path=path, **kwargs)
def __validate_primary_action(primary_action):
if primary_action is not None and primary_action not in ['delete', 'clean', 'continue']:
raise ValueError("Invalid value for primary_action. Valid values are: delete, clean and continue")
def __validate_secondary_action(secondary_action):
if secondary_action is not None and secondary_action not in ['delete', 'continue']:
raise ValueError("Invalid value for secondary_action. Valid values are: delete and continue")
| def get_antivirus_status(session, return_type=None, **kwargs):
"""
Enables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/engine.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def get_policies(session, return_type=None, **kwargs):
"""
Returns all antivirus policies.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/default_policy.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def enable_antivirus(session, pool_id, return_type=None, **kwargs):
"""
Enables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type pool_id: str
:param pool_id: Pool to create quarantine volume. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
body_values = {'pool': pool_id}
path = '/api/antivirus/engine.json'
return session.post_api(path=path, body=body_values, return_type=return_type, **kwargs)
def disable_antivirus(session, return_type=None, **kwargs):
"""
Disables the antivirus engine.
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/engine.json'
return session.delete_api(path=path, return_type=return_type, **kwargs)
def update_on_demand_policy(session, run_policy, include_file_types=None, exclude_file_types=None, scan_subfolders=False, scan_archives=False, primary_action=None, secondary_action=None, return_type=None, **kwargs):
"""
Updates on demand policy settings
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type run_policy: str
:param run_policy: cron expression that sets scan schedule. For example: "5 0 * * *"
:type include_file_types: list, str
:param include_file_types: scan only specific file types. Can't be used together with exclude_file_types param.
:type exclude_file_types: list, str
:param exclude_file_types: scan all file types, except those provided in this list.
Can't be used together with include_file_types param.
:type scan_subfolders: bool
:param scan_subfolders: Includes subfolders on scan. Default is False
:type scan_archives: bool
:param scan_archives: Includes archives on scan. Default is False
:type primary_action: str
:param primary_action: one of the following values: delete, clean, continue
:param secondary_action: str
:param primary_action: one of the following values: delete, continue
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = '/api/antivirus/update_ods_defaults.json'
file_types_to_scan = 'all'
if include_file_types is not None and exclude_file_types is not None:
raise value_error("Include_file_types and exclude_file_types can't be used together")
if include_file_types is not None:
file_types_to_scan = 'onlyspecified'
if type(include_file_types) is list:
include_file_types = ','.join(list)
if type(exclude_file_types) is list:
exclude_file_types = ','.join(list)
__validate_primary_action(primary_action)
__validate_secondary_action(secondary_action)
body_values = {'runpolicy': run_policy, 'filetypestoscan': file_types_to_scan, 'includefiletypes': include_file_types, 'excludefiletypes': exclude_file_types, 'scansubfolders': scan_subfolders, 'scanarchives': scan_archives, 'primaryaction': primary_action, 'secondaryaction': secondary_action}
return session.post_api(path=path, body=body_values, return_type=return_type, **kwargs)
def show_quarantined_files(session, return_type=None, **kwargs):
"""
Shows quarantined files
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
"""
path = '/api/antivirus/quarantined_files.json'
return session.get_api(path=path, return_type=return_type, **kwargs)
def restore_quarantined_file(session, file_id, return_type=None, **kwargs):
"""
Restores a quarantined file
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type file_id: str
:param file_id: File to be deleted
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = '/api/antivirus/restore_file/%s' % file_id
return session.post_api(path=path, return_type=return_type, **kwargs)
def delete_quarantined_file(session, file_id, return_type=None, **kwargs):
"""
Deletes a quarantined file
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type file_id: str
:param file_id: File to be deleted
:type return_type: str
:param return_type: If this is set to the string 'json', this function
will return a JSON string. Otherwise, it will return a Python
dictionary. Optional (will return a Python dictionary by default).
:param kwargs:
:return:
"""
path = '/api/antivirus/delete_file/%s' % file_id
return session.post_api(path=path, return_type=return_type, **kwargs)
def download_volume_log(session, volume_id, return_type='raw', **kwargs):
"""
Downloads antivirus log
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:type volume_id: str
:param volume_id: Volume ID. Required.
:type return_type: str
:param return_type: This returns a raw binary stream.
Output should be redirected to a file with a .zip extension.
:rtype: str
:returns: Raw zip file data.
"""
path = '/api/antivirus/log_files/%s' % volume_id
return session.get_api(path=path, return_type=return_type, **kwargs)
def get_vpsa_time(session, **kwargs):
"""
Get a json which contain the timezone of the VPSA
:type session: zadarapy.session.Session
:param session: A valid zadarapy.session.Session object. Required.
:rtype: str
:returns: Raw zip file data.
"""
path = '/api/accounts/checklogin.json'
return session.post_api(path=path, **kwargs)
def __validate_primary_action(primary_action):
if primary_action is not None and primary_action not in ['delete', 'clean', 'continue']:
raise value_error('Invalid value for primary_action. Valid values are: delete, clean and continue')
def __validate_secondary_action(secondary_action):
if secondary_action is not None and secondary_action not in ['delete', 'continue']:
raise value_error('Invalid value for secondary_action. Valid values are: delete and continue') |
"""
Utility module to manipulate CSV files.
"""
__author__ = "Jenson Jose"
__email__ = "jensonjose@live.in"
__status__ = "Alpha"
class CsvUtils:
"""
Utility class containing methods for manipulating CSV files.
"""
def __init__(self):
pass
| """
Utility module to manipulate CSV files.
"""
__author__ = 'Jenson Jose'
__email__ = 'jensonjose@live.in'
__status__ = 'Alpha'
class Csvutils:
"""
Utility class containing methods for manipulating CSV files.
"""
def __init__(self):
pass |
"""
Cutting Ribbons
You are given an integer array ribbons, where ribbons[i] represents the length of the ith ribbon, and an integer k. You may cut any of the ribbons into any number of segments of positive integer lengths, or perform no cuts at all.
For example, if you have a ribbon of length 4, you can:
Keep the ribbon of length 4,
Cut it into one ribbon of length 3 and one ribbon of length 1,
Cut it into two ribbons of length 2,
Cut it into one ribbon of length 2 and two ribbons of length 1, or
Cut it into four ribbons of length 1.
Your goal is to obtain k ribbons of all the same positive integer length. You are allowed to throw away any excess ribbon as a result of cutting.
Return the maximum possible positive integer length that you can obtain k ribbons of, or 0 if you cannot obtain k ribbons of the same length.
Example 1:
Input: ribbons = [9,7,5], k = 3
Output: 5
Explanation:
- Cut the first ribbon to two ribbons, one of length 5 and one of length 4.
- Cut the second ribbon to two ribbons, one of length 5 and one of length 2.
- Keep the third ribbon as it is.
Now you have 3 ribbons of length 5.
Example 2:
Input: ribbons = [7,5,9], k = 4
Output: 4
Explanation:
- Cut the first ribbon to two ribbons, one of length 4 and one of length 3.
- Cut the second ribbon to two ribbons, one of length 4 and one of length 1.
- Cut the third ribbon to three ribbons, two of length 4 and one of length 1.
Now you have 4 ribbons of length 4.
Example 3:
Input: ribbons = [5,7,9], k = 22
Output: 0
Explanation: You cannot obtain k ribbons of the same positive integer length.
Constraints:
1 <= ribbons.length <= 105
1 <= ribbons[i] <= 105
1 <= k <= 109
"""
class Solution:
def maxLength(self, ribbons, k):
# the lower bound is ribbons of length 1, upper bound is the maximum or the ribbons
l, h = 1, max(ribbons)
maxsize = 0
while l <= h:
size = (h + l) // 2 # get the mid of the sizes
numribs = 0
for ribbon in ribbons:
if ribbon >= size:
# add number of ribons that can be made to numribs
numribs += (ribbon//size)
# keep searching for a possibly larger size that can make k
if numribs >= k:
# make sure to take the max of a prev computed max size and current size
maxsize = max(size, maxsize)
l = size + 1
else:
h = size - 1
return maxsize
if __name__ == '__main__':
sol = Solution()
print(sol.maxLength([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 3))
| """
Cutting Ribbons
You are given an integer array ribbons, where ribbons[i] represents the length of the ith ribbon, and an integer k. You may cut any of the ribbons into any number of segments of positive integer lengths, or perform no cuts at all.
For example, if you have a ribbon of length 4, you can:
Keep the ribbon of length 4,
Cut it into one ribbon of length 3 and one ribbon of length 1,
Cut it into two ribbons of length 2,
Cut it into one ribbon of length 2 and two ribbons of length 1, or
Cut it into four ribbons of length 1.
Your goal is to obtain k ribbons of all the same positive integer length. You are allowed to throw away any excess ribbon as a result of cutting.
Return the maximum possible positive integer length that you can obtain k ribbons of, or 0 if you cannot obtain k ribbons of the same length.
Example 1:
Input: ribbons = [9,7,5], k = 3
Output: 5
Explanation:
- Cut the first ribbon to two ribbons, one of length 5 and one of length 4.
- Cut the second ribbon to two ribbons, one of length 5 and one of length 2.
- Keep the third ribbon as it is.
Now you have 3 ribbons of length 5.
Example 2:
Input: ribbons = [7,5,9], k = 4
Output: 4
Explanation:
- Cut the first ribbon to two ribbons, one of length 4 and one of length 3.
- Cut the second ribbon to two ribbons, one of length 4 and one of length 1.
- Cut the third ribbon to three ribbons, two of length 4 and one of length 1.
Now you have 4 ribbons of length 4.
Example 3:
Input: ribbons = [5,7,9], k = 22
Output: 0
Explanation: You cannot obtain k ribbons of the same positive integer length.
Constraints:
1 <= ribbons.length <= 105
1 <= ribbons[i] <= 105
1 <= k <= 109
"""
class Solution:
def max_length(self, ribbons, k):
(l, h) = (1, max(ribbons))
maxsize = 0
while l <= h:
size = (h + l) // 2
numribs = 0
for ribbon in ribbons:
if ribbon >= size:
numribs += ribbon // size
if numribs >= k:
maxsize = max(size, maxsize)
l = size + 1
else:
h = size - 1
return maxsize
if __name__ == '__main__':
sol = solution()
print(sol.maxLength([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 3)) |
class LetterSpacingKeyword:
Normal = "normal"
class LetterSpacing(
LetterSpacingKeyword,
Length,
):
pass
| class Letterspacingkeyword:
normal = 'normal'
class Letterspacing(LetterSpacingKeyword, Length):
pass |
"""
Dataframes constants
"""
TRANS = "trans_m"
LIQUID = "liquid_m"
CATEG = "trans_categ"
INVEST = "invest_m"
WORTH = "worth_m"
ALL_FROM_DATA = [CATEG, LIQUID, INVEST, WORTH]
ALL = [TRANS] + ALL_FROM_DATA
| """
Dataframes constants
"""
trans = 'trans_m'
liquid = 'liquid_m'
categ = 'trans_categ'
invest = 'invest_m'
worth = 'worth_m'
all_from_data = [CATEG, LIQUID, INVEST, WORTH]
all = [TRANS] + ALL_FROM_DATA |
"""Top-level package for purepython_flagser."""
__author__ = """Nicolas Ninin"""
__email__ = 'nicolas.ninin@gmail.com'
__version__ = '0.1.0'
| """Top-level package for purepython_flagser."""
__author__ = 'Nicolas Ninin'
__email__ = 'nicolas.ninin@gmail.com'
__version__ = '0.1.0' |
# problem description: https://www.hackerrank.com/challenges/ctci-connected-cell-in-a-grid/problem
def getBiggestRegion(grid):
n_row = len(grid)
n_col = len(grid[0])
region_sizes = []
for row in range(n_row):
for col in range(n_col):
region_size = measure_region(grid, row, col)
region_sizes.append(region_size)
return max(region_sizes)
def measure_region(grid, row, col):
# check for out of bounds
if row not in range(len(grid)) or col not in range(len(grid[0])):
return 0
# abort if cell is not 1
elif grid[row][col] != 1:
return 0
else:
# mark visited cell as 0
grid[row][col] = 0
# count this cell and move on
return 1 + measure_region(grid, row + 1, col) \
+ measure_region(grid, row - 1, col) \
+ measure_region(grid, row, col + 1) \
+ measure_region(grid, row, col - 1) \
+ measure_region(grid, row + 1, col + 1) \
+ measure_region(grid, row - 1, col - 1) \
+ measure_region(grid, row - 1, col + 1) \
+ measure_region(grid, row + 1, col - 1)
grid = [
[1, 1, 0, 0],
[0, 1, 1, 0],
[0, 0, 1, 0],
[1, 0, 0, 0]
]
getBiggestRegion(grid)
| def get_biggest_region(grid):
n_row = len(grid)
n_col = len(grid[0])
region_sizes = []
for row in range(n_row):
for col in range(n_col):
region_size = measure_region(grid, row, col)
region_sizes.append(region_size)
return max(region_sizes)
def measure_region(grid, row, col):
if row not in range(len(grid)) or col not in range(len(grid[0])):
return 0
elif grid[row][col] != 1:
return 0
else:
grid[row][col] = 0
return 1 + measure_region(grid, row + 1, col) + measure_region(grid, row - 1, col) + measure_region(grid, row, col + 1) + measure_region(grid, row, col - 1) + measure_region(grid, row + 1, col + 1) + measure_region(grid, row - 1, col - 1) + measure_region(grid, row - 1, col + 1) + measure_region(grid, row + 1, col - 1)
grid = [[1, 1, 0, 0], [0, 1, 1, 0], [0, 0, 1, 0], [1, 0, 0, 0]]
get_biggest_region(grid) |
# -*- coding: utf-8 -*-
"""
History of past trials
======================
Maintain the history of past trials used by an algorithm.
"""
# pylint:disable=protected-access,too-few-public-methods
class TrialsHistory:
"""Maintain a list of all the last seen trials that are on different dependency paths"""
def __init__(self):
"""Create empty trials history"""
self.children = []
self.ids = set()
def __contains__(self, trial):
"""Return True if the trial is in the observed history"""
return trial.id in self.ids
def update(self, trials):
"""Update the list of children trials
The children history only keeps children. Current children that are now ancestors of
the new nodes are discarded from the history. This is because we can rebuild the entire
history from the current children, therefore we only need to keep those.
"""
descendents = set(self.children)
for trial in trials:
descendents -= set(trial.parents)
descendents.add(trial.id)
self.ids |= descendents
self.children = list(sorted(descendents))
| """
History of past trials
======================
Maintain the history of past trials used by an algorithm.
"""
class Trialshistory:
"""Maintain a list of all the last seen trials that are on different dependency paths"""
def __init__(self):
"""Create empty trials history"""
self.children = []
self.ids = set()
def __contains__(self, trial):
"""Return True if the trial is in the observed history"""
return trial.id in self.ids
def update(self, trials):
"""Update the list of children trials
The children history only keeps children. Current children that are now ancestors of
the new nodes are discarded from the history. This is because we can rebuild the entire
history from the current children, therefore we only need to keep those.
"""
descendents = set(self.children)
for trial in trials:
descendents -= set(trial.parents)
descendents.add(trial.id)
self.ids |= descendents
self.children = list(sorted(descendents)) |
expected_output = {
"my_state": "13 -ACTIVE",
"peer_state": "1 -DISABLED",
"mode": "Simplex",
"unit": "Primary",
"unit_id": 48,
"redundancy_mode_operational": "Non-redundant",
"redundancy_mode_configured": "Non-redundant",
"redundancy_state": "Non Redundant",
"maintenance_mode": "Disabled",
"manual_swact": "disabled",
"manual_swact_reason": "system is simplex (no peer unit)",
"communications": "Down",
"communications_reason": "Simplex mode",
"client_count": 111,
"client_notification_tmr_msec": 30000,
"rf_debug_mask": "0x0",
}
| expected_output = {'my_state': '13 -ACTIVE', 'peer_state': '1 -DISABLED', 'mode': 'Simplex', 'unit': 'Primary', 'unit_id': 48, 'redundancy_mode_operational': 'Non-redundant', 'redundancy_mode_configured': 'Non-redundant', 'redundancy_state': 'Non Redundant', 'maintenance_mode': 'Disabled', 'manual_swact': 'disabled', 'manual_swact_reason': 'system is simplex (no peer unit)', 'communications': 'Down', 'communications_reason': 'Simplex mode', 'client_count': 111, 'client_notification_tmr_msec': 30000, 'rf_debug_mask': '0x0'} |
class Solution(object):
def __init__(self, nums):
"""
:type nums: List[int]
:type size: int
"""
self.nums = nums
self.reset = lambda: self.nums
def shuffle(self):
"""
Returns a random shuffling of the array.
:rtype: List[int]
"""
nums = self.nums + []
for i in reversed(xrange(0, len(nums))):
idx = random.randrange(0, i+1)
nums[i], nums[idx] = nums[idx], nums[i]
return nums
# Your Solution object will be instantiated and called as such:
# obj = Solution(nums)
# param_1 = obj.reset()
# param_2 = obj.shuffle() | class Solution(object):
def __init__(self, nums):
"""
:type nums: List[int]
:type size: int
"""
self.nums = nums
self.reset = lambda : self.nums
def shuffle(self):
"""
Returns a random shuffling of the array.
:rtype: List[int]
"""
nums = self.nums + []
for i in reversed(xrange(0, len(nums))):
idx = random.randrange(0, i + 1)
(nums[i], nums[idx]) = (nums[idx], nums[i])
return nums |
t = int(input())
for _ in range(t):
n = int(input())
a = [int(x) for x in input().split()]
a.sort()
n *= 2
if n == 2:
print(abs(a[-1]-a[0]))
else:
print(a[n//2]-a[n//2-1])
| t = int(input())
for _ in range(t):
n = int(input())
a = [int(x) for x in input().split()]
a.sort()
n *= 2
if n == 2:
print(abs(a[-1] - a[0]))
else:
print(a[n // 2] - a[n // 2 - 1]) |
# https://wiki.python.org/moin/BitManipulation
# testBit() returns a nonzero result, 2**offset, if the bit at 'offset' is one.
def testBit(int_type, offset):
mask = 1 << offset
return(int_type & mask)
# setBit() returns an integer with the bit at 'offset' set to 1.
def setBit(int_type, offset):
mask = 1 << offset
return(int_type | mask)
# clearBit() returns an integer with the bit at 'offset' cleared.
def clearBit(int_type, offset):
print("{0:b}".format(int_type))
mask = ~(1 << offset)
print("{0:b}".format(mask))
return(int_type & mask)
# toggleBit() returns an integer with the bit at 'offset' inverted, 0 -> 1 and 1 -> 0.
def toggleBit(int_type, offset):
mask = 1 << offset
return(int_type ^ mask)
if __name__ == "__main__":
d1 = 7
bit = 0
print(clearBit(d1,bit))
| def test_bit(int_type, offset):
mask = 1 << offset
return int_type & mask
def set_bit(int_type, offset):
mask = 1 << offset
return int_type | mask
def clear_bit(int_type, offset):
print('{0:b}'.format(int_type))
mask = ~(1 << offset)
print('{0:b}'.format(mask))
return int_type & mask
def toggle_bit(int_type, offset):
mask = 1 << offset
return int_type ^ mask
if __name__ == '__main__':
d1 = 7
bit = 0
print(clear_bit(d1, bit)) |
# Django settings for unit test project.
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'database.sqlite',
},
}
SITE_ID = 1
ROOT_URLCONF = 'parler_example.urls'
SECRET_KEY = 'secret'
# Absolute path to the directory that holds media.
# Example: "/home/media/media.lawrence.com/"
MEDIA_ROOT = ''
# URL that handles the media served from MEDIA_ROOT. Make sure to use a
# trailing slash if there is a path component (optional in other cases).
# Examples: "http://media.lawrence.com", "http://example.com/media/"
MEDIA_URL = ''
# Absolute path to the directory that holds static files.
# Example: "/home/media/media.lawrence.com/static/"
STATIC_ROOT = '/home/static/'
# URL that handles the static files served from STATIC_ROOT.
# Example: "http://media.lawrence.com/static/"
STATIC_URL = '/static/'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.admin',
'django.contrib.staticfiles',
'parler', # https://github.com/django-parler/django-parler
'adminsortable2',
'parler_example.parler_test_app',
)
MIDDLEWARE = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
)
MIDDLEWARE_CLASSES = MIDDLEWARE
# Explicitely set the test runner to the new 1.7 version, to silence obnoxious
# 1_6.W001 check
# TEST_RUNNER = 'django.test.runner.DiscoverRunner'
# https://docs.djangoproject.com/en/1.11/ref/settings/#language-code
# Default and fallback language:
LANGUAGE_CODE = "en"
# http://django-parler.readthedocs.org/en/latest/quickstart.html#configuration
PARLER_LANGUAGES = {
1: [
{
"name": "German",
"code": "de",
"fallbacks": [LANGUAGE_CODE],
"hide_untranslated": False,
},
{
"name": "English",
"code": "en",
"fallbacks": ["de"],
"hide_untranslated": False,
},
],
"default": {
"fallbacks": [LANGUAGE_CODE],
"redirect_on_fallback": False,
},
}
# https://docs.djangoproject.com/en/1.11/ref/settings/#languages
LANGUAGES = tuple([(d["code"], d["name"]) for d in PARLER_LANGUAGES[1]])
# http://django-parler.readthedocs.org/en/latest/quickstart.html#configuration
PARLER_DEFAULT_LANGUAGE_CODE = LANGUAGE_CODE
USE_I18N = True
USE_L10N = True
| debug = True
databases = {'default': {'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'database.sqlite'}}
site_id = 1
root_urlconf = 'parler_example.urls'
secret_key = 'secret'
media_root = ''
media_url = ''
static_root = '/home/static/'
static_url = '/static/'
templates = [{'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': {'context_processors': ['django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages']}}]
installed_apps = ('django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.admin', 'django.contrib.staticfiles', 'parler', 'adminsortable2', 'parler_example.parler_test_app')
middleware = ('django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware')
middleware_classes = MIDDLEWARE
language_code = 'en'
parler_languages = {1: [{'name': 'German', 'code': 'de', 'fallbacks': [LANGUAGE_CODE], 'hide_untranslated': False}, {'name': 'English', 'code': 'en', 'fallbacks': ['de'], 'hide_untranslated': False}], 'default': {'fallbacks': [LANGUAGE_CODE], 'redirect_on_fallback': False}}
languages = tuple([(d['code'], d['name']) for d in PARLER_LANGUAGES[1]])
parler_default_language_code = LANGUAGE_CODE
use_i18_n = True
use_l10_n = True |
"""
File-based help entries. These complements command-based help and help entries
added in the database using the `sethelp` command in-game.
Control where Evennia reads these entries with `settings.FILE_HELP_ENTRY_MODULES`,
which is a list of python-paths to modules to read.
A module like this should hold a global `HELP_ENTRY_DICTS` list, containing
dicts that each represent a help entry. If no `HELP_ENTRY_DICTS` variable is
given, all top-level variables that are dicts in the module are read as help
entries.
Each dict is on the form
::
{'key': <str>,
'text': <str>}`` # the actual help text. Can contain # subtopic sections
'category': <str>, # optional, otherwise settings.DEFAULT_HELP_CATEGORY
'aliases': <list>, # optional
'locks': <str> # optional, 'view' controls seeing in help index, 'read'
# if the entry can be read. If 'view' is unset,
# 'read' is used for the index. If unset, everyone
# can read/view the entry.
"""
HELP_ENTRY_DICTS = [
{
"key": "evennia",
"aliases": ['ev'],
"category": "General",
"locks": "read:perm(Developer)",
"text": """
Evennia is a MUD game server in Python.
# subtopics
## Installation
You'll find installation instructions on https:evennia.com
## Community
There are many ways to get help and communicate with other devs!
### IRC
The irc channel is #evennia on irc.freenode.net
### Discord
There is also a discord channel you can find from the sidebard on evennia.com.
"""
},
{
"key": "building",
"category": "building",
"text": """
Evennia comes with a bunch of default building commands. You can
find a building tutorial in the evennia documentation.
"""
}
]
| """
File-based help entries. These complements command-based help and help entries
added in the database using the `sethelp` command in-game.
Control where Evennia reads these entries with `settings.FILE_HELP_ENTRY_MODULES`,
which is a list of python-paths to modules to read.
A module like this should hold a global `HELP_ENTRY_DICTS` list, containing
dicts that each represent a help entry. If no `HELP_ENTRY_DICTS` variable is
given, all top-level variables that are dicts in the module are read as help
entries.
Each dict is on the form
::
{'key': <str>,
'text': <str>}`` # the actual help text. Can contain # subtopic sections
'category': <str>, # optional, otherwise settings.DEFAULT_HELP_CATEGORY
'aliases': <list>, # optional
'locks': <str> # optional, 'view' controls seeing in help index, 'read'
# if the entry can be read. If 'view' is unset,
# 'read' is used for the index. If unset, everyone
# can read/view the entry.
"""
help_entry_dicts = [{'key': 'evennia', 'aliases': ['ev'], 'category': 'General', 'locks': 'read:perm(Developer)', 'text': "\n Evennia is a MUD game server in Python.\n\n # subtopics\n\n ## Installation\n\n You'll find installation instructions on https:evennia.com\n\n ## Community\n\n There are many ways to get help and communicate with other devs!\n\n ### IRC\n\n The irc channel is #evennia on irc.freenode.net\n\n ### Discord\n\n There is also a discord channel you can find from the sidebard on evennia.com.\n\n "}, {'key': 'building', 'category': 'building', 'text': '\n Evennia comes with a bunch of default building commands. You can\n find a building tutorial in the evennia documentation.\n\n '}] |
SCHEDULE_MODE = {
'SECONDS': 1,
'MINUTS': 2,
'HOUR': 3,
'DAY': 4
}
SCHEDULE_STATUS = {
'RUNNING': 1,
'STOPPED': 2
}
SCHEDULE_ACTIVE = {
'ACTIVE': 1,
'DEACTIVE': 2
}
def getDictKeyByName(dictObject, value):
for (key, itemValue) in dictObject.items():
if (value == itemValue):
return key
return None | schedule_mode = {'SECONDS': 1, 'MINUTS': 2, 'HOUR': 3, 'DAY': 4}
schedule_status = {'RUNNING': 1, 'STOPPED': 2}
schedule_active = {'ACTIVE': 1, 'DEACTIVE': 2}
def get_dict_key_by_name(dictObject, value):
for (key, item_value) in dictObject.items():
if value == itemValue:
return key
return None |
# --------------
class_1 = ['Geoffrey Hinton','Andrew Ng','Sebastian Raschka','Yoshua Bengio']
class_2 = ['Hilary Mason','Carla Gentry','Corinna Cortes']
new_class = class_1 + class_2
new_class.append("Peter Warden")
print(new_class)
new_class.remove("Carla Gentry")
print(new_class)
courses = { "Math":65,"English":70,"History":80,"French":70,"Science":60}
total = sum(courses.values())
print(total)
percentage = total*100/500
mathematics ={ "Geoffrey Hinton":78,
"Andrew Ng":95,
"Sebastian Raschka":65,
"Yoshua Benjio":50,
"Hilary Mason":70,
"Corinna Cortes":66,
"Peter Warden":75
}
topper = max(mathematics,key = mathematics.get)
print (topper)
first_name , last_name = topper.split()
full_name = last_name + " " +first_name
certificate_name = full_name.upper()
print(certificate_name
)
| class_1 = ['Geoffrey Hinton', 'Andrew Ng', 'Sebastian Raschka', 'Yoshua Bengio']
class_2 = ['Hilary Mason', 'Carla Gentry', 'Corinna Cortes']
new_class = class_1 + class_2
new_class.append('Peter Warden')
print(new_class)
new_class.remove('Carla Gentry')
print(new_class)
courses = {'Math': 65, 'English': 70, 'History': 80, 'French': 70, 'Science': 60}
total = sum(courses.values())
print(total)
percentage = total * 100 / 500
mathematics = {'Geoffrey Hinton': 78, 'Andrew Ng': 95, 'Sebastian Raschka': 65, 'Yoshua Benjio': 50, 'Hilary Mason': 70, 'Corinna Cortes': 66, 'Peter Warden': 75}
topper = max(mathematics, key=mathematics.get)
print(topper)
(first_name, last_name) = topper.split()
full_name = last_name + ' ' + first_name
certificate_name = full_name.upper()
print(certificate_name) |
#
# @lc app=leetcode id=20 lang=python3
#
# [20] Valid Parentheses
#
# @lc code=start
class Solution:
def isValid(self, s: str) -> bool:
# if s == ""
if len(s) == 0:
return True
d = {
')': '(',
'}' : '{',
']' : '['
}
temp = []
for item in s:
if item not in d:
temp.append(item)
else:
# example: s = ")"
if temp == []:
return False
if d[item] == temp[-1]:
temp.pop()
else:
return False
if len(temp) > 0:
return False
return True
# @lc code=end
| class Solution:
def is_valid(self, s: str) -> bool:
if len(s) == 0:
return True
d = {')': '(', '}': '{', ']': '['}
temp = []
for item in s:
if item not in d:
temp.append(item)
else:
if temp == []:
return False
if d[item] == temp[-1]:
temp.pop()
else:
return False
if len(temp) > 0:
return False
return True |
"""
Overview
========
This module implements the NORMAL mode that is the mode in which most
editing keycommands are implemented.
Key-Commands
============
Namespace: normal-mode
Mode: -1
Event: <Escape>
Description: Get the focused AreaVi instance in NORMAL mode.
Mode: -1
Event: <Alt-n>
Description: Get the focused AreaVi instance in EXTRA mode.
Mode: NORMAL
Event: <Key-i>
Description: Get the focused AreaVi instance in INSERT mode.
Mode: NORMAL
Event: <Key-4>
Description: Get the AreaVi instance in BETA mode.
Mode: NORMAL
Event: <Key-6>
Description: Get the AreaVi instance in DELTA mode.
Mode: <NORMAL>
Event: <Key-5>
Description: Get the AreaVi instance that has focus in GAMMA mode.
Mode: NORMAL
Event: <Key-3>
Description: Get the AreaVi instance that is focused in ALPHA mode.
"""
class BuiltinModes:
def __init__(self, area):
self.area = area
area.add_mode('NORMAL')
area.chmode('NORMAL')
area.add_mode('INSERT', opt=True)
area.add_mode('DELTA')
area.add_mode('GAMMA')
area.add_mode('BETA')
area.add_mode('ALPHA')
area.add_mode('EXTRA')
area.install('builtin-modes',
(-1, '<Escape>', self.switch_normal),
(-1, '<Alt-n>', self.switch_extra),
('NORMAL', '<Key-i>', self.switch_insert),
('NORMAL', '<Key-6>', self.switch_delta),
('NORMAL', '<Key-5>', self.switch_gamma),
('NORMAL', '<Key-4>', self.switch_beta),
('NORMAL', '<Key-3>', self.switch_alpha))
def switch_delta(self, event):
"""
"""
self.area.chmode('DELTA')
def switch_gamma(self, event):
"""
"""
self.area.chmode('GAMMA')
def switch_beta(self, event):
"""
"""
self.area.chmode('BETA')
def switch_alpha(self, event):
"""
"""
self.area.chmode('ALPHA')
def switch_normal(self, event):
"""
"""
self.area.chmode('NORMAL')
self.area.clear_selection()
def switch_insert(self, event):
"""
"""
self.area.chmode('INSERT')
self.area.clear_selection()
def switch_extra(self, event):
"""
"""
self.area.chmode('EXTRA')
return 'break'
install = BuiltinModes
| """
Overview
========
This module implements the NORMAL mode that is the mode in which most
editing keycommands are implemented.
Key-Commands
============
Namespace: normal-mode
Mode: -1
Event: <Escape>
Description: Get the focused AreaVi instance in NORMAL mode.
Mode: -1
Event: <Alt-n>
Description: Get the focused AreaVi instance in EXTRA mode.
Mode: NORMAL
Event: <Key-i>
Description: Get the focused AreaVi instance in INSERT mode.
Mode: NORMAL
Event: <Key-4>
Description: Get the AreaVi instance in BETA mode.
Mode: NORMAL
Event: <Key-6>
Description: Get the AreaVi instance in DELTA mode.
Mode: <NORMAL>
Event: <Key-5>
Description: Get the AreaVi instance that has focus in GAMMA mode.
Mode: NORMAL
Event: <Key-3>
Description: Get the AreaVi instance that is focused in ALPHA mode.
"""
class Builtinmodes:
def __init__(self, area):
self.area = area
area.add_mode('NORMAL')
area.chmode('NORMAL')
area.add_mode('INSERT', opt=True)
area.add_mode('DELTA')
area.add_mode('GAMMA')
area.add_mode('BETA')
area.add_mode('ALPHA')
area.add_mode('EXTRA')
area.install('builtin-modes', (-1, '<Escape>', self.switch_normal), (-1, '<Alt-n>', self.switch_extra), ('NORMAL', '<Key-i>', self.switch_insert), ('NORMAL', '<Key-6>', self.switch_delta), ('NORMAL', '<Key-5>', self.switch_gamma), ('NORMAL', '<Key-4>', self.switch_beta), ('NORMAL', '<Key-3>', self.switch_alpha))
def switch_delta(self, event):
"""
"""
self.area.chmode('DELTA')
def switch_gamma(self, event):
"""
"""
self.area.chmode('GAMMA')
def switch_beta(self, event):
"""
"""
self.area.chmode('BETA')
def switch_alpha(self, event):
"""
"""
self.area.chmode('ALPHA')
def switch_normal(self, event):
"""
"""
self.area.chmode('NORMAL')
self.area.clear_selection()
def switch_insert(self, event):
"""
"""
self.area.chmode('INSERT')
self.area.clear_selection()
def switch_extra(self, event):
"""
"""
self.area.chmode('EXTRA')
return 'break'
install = BuiltinModes |
total_umur_dalam_hari = 75
jumlah_hari_dalam_sebulan = 30
bulan = total_umur_dalam_hari/jumlah_hari_dalam_sebulan
hari = total_umur_dalam_hari % jumlah_hari_dalam_sebulan
print('umur bayi sekarang {} bulan dan {} hari'.format(bulan,hari))
print('umur bayi sekarang {1} bulan dan {0} hari'.format(hari,bulan))
print('umur bayi sekarang %s bulan dan %s hari'%(bulan,hari))
print('umur bayi sekarang',bulan,'bulan dan',hari,'hari')
print('umur bayi sekarang '+str(bulan)+' bulan dan '+str(hari)+' hari') | total_umur_dalam_hari = 75
jumlah_hari_dalam_sebulan = 30
bulan = total_umur_dalam_hari / jumlah_hari_dalam_sebulan
hari = total_umur_dalam_hari % jumlah_hari_dalam_sebulan
print('umur bayi sekarang {} bulan dan {} hari'.format(bulan, hari))
print('umur bayi sekarang {1} bulan dan {0} hari'.format(hari, bulan))
print('umur bayi sekarang %s bulan dan %s hari' % (bulan, hari))
print('umur bayi sekarang', bulan, 'bulan dan', hari, 'hari')
print('umur bayi sekarang ' + str(bulan) + ' bulan dan ' + str(hari) + ' hari') |
# Copyright 2018 Road-Support - Roel Adriaans
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
{
"name": "Github Connector - OCA extension",
"summary": "Add OCA specific information to Odoo modules",
"version": "13.0.1.0.0",
"category": "Connector",
"license": "AGPL-3",
"author": "Odoo Community Association (OCA), " "Road-Support",
"website": "https://github.com/OCA/interface-github",
"depends": ["github_connector_odoo"],
"data": ["views/odoo_module_version.xml"],
"demo": [],
"installable": True,
}
| {'name': 'Github Connector - OCA extension', 'summary': 'Add OCA specific information to Odoo modules', 'version': '13.0.1.0.0', 'category': 'Connector', 'license': 'AGPL-3', 'author': 'Odoo Community Association (OCA), Road-Support', 'website': 'https://github.com/OCA/interface-github', 'depends': ['github_connector_odoo'], 'data': ['views/odoo_module_version.xml'], 'demo': [], 'installable': True} |
def initialize():
return 'initialize'
def computeTile(x, y, array):
spend_some_time()
return 'computeTile-' + str(x) + ',' + str(y)
def dispose():
return 'dispose'
def spend_some_time():
l = list(range(10000))
for i in range(10000):
l.reverse()
| def initialize():
return 'initialize'
def compute_tile(x, y, array):
spend_some_time()
return 'computeTile-' + str(x) + ',' + str(y)
def dispose():
return 'dispose'
def spend_some_time():
l = list(range(10000))
for i in range(10000):
l.reverse() |
# Exibindo valores da lista com for
comidas = ['Cebola', 'Tomate', 'Cenoura', 'Ovo', 'Queijo', 'Cerveja']
print("indice - elemento")
for indice, elemento in enumerate(comidas):
print (f"{indice:<5}{elemento}")
print(1 + 1)
| comidas = ['Cebola', 'Tomate', 'Cenoura', 'Ovo', 'Queijo', 'Cerveja']
print('indice - elemento')
for (indice, elemento) in enumerate(comidas):
print(f'{indice:<5}{elemento}')
print(1 + 1) |
pkgname = "bsded"
pkgver = "0.99.0"
pkgrel = 0
build_style = "makefile"
pkgdesc = "FreeBSD ed(1) utility"
maintainer = "q66 <q66@chimera-linux.org>"
license = "BSD-2-Clause"
url = "https://github.com/chimera-linux/bsded"
source = f"https://github.com/chimera-linux/bsded/archive/refs/tags/v{pkgver}.tar.gz"
sha256 = "ae351b0a03519d2ec251f2fb3210eb402e4babd17b9c1e0f3ab2aa307bb3505f"
| pkgname = 'bsded'
pkgver = '0.99.0'
pkgrel = 0
build_style = 'makefile'
pkgdesc = 'FreeBSD ed(1) utility'
maintainer = 'q66 <q66@chimera-linux.org>'
license = 'BSD-2-Clause'
url = 'https://github.com/chimera-linux/bsded'
source = f'https://github.com/chimera-linux/bsded/archive/refs/tags/v{pkgver}.tar.gz'
sha256 = 'ae351b0a03519d2ec251f2fb3210eb402e4babd17b9c1e0f3ab2aa307bb3505f' |
def load():
with open("input") as f:
yield next(f).strip()
next(f)
img = {}
for y, row in enumerate(f):
img.update({(x, y): v for x, v in enumerate(row.strip())})
yield img
def get_square(x, y, image, void_value):
for i in range(y - 1, y + 2):
for j in range(x - 1, x + 2):
yield image.get((j, i), void_value)
def to_decimal(square):
return int("".join("1" if p == "#" else "0" for p in square), 2)
def apply_enhancement(image, algorithm, void_value):
new_image = {}
p1, p2 = min(image), max(image)
for y in range(p1[1] - 2, p2[1] + 3):
for x in range(p1[0] - 2, p2[0] + 3):
index = to_decimal(get_square(x, y, image, void_value))
new_image[(x, y)] = algorithm[index]
return new_image
def get_void_value(algorithm, iteration):
return "." if iteration % 2 == 0 or algorithm[0] == "." else "#"
def run_algorithm(iterations):
algorithm, image = load()
for i in range(iterations):
image = apply_enhancement(image, algorithm, get_void_value(algorithm, i))
return sum(1 for p in image.values() if p == "#")
print(run_algorithm(50))
| def load():
with open('input') as f:
yield next(f).strip()
next(f)
img = {}
for (y, row) in enumerate(f):
img.update({(x, y): v for (x, v) in enumerate(row.strip())})
yield img
def get_square(x, y, image, void_value):
for i in range(y - 1, y + 2):
for j in range(x - 1, x + 2):
yield image.get((j, i), void_value)
def to_decimal(square):
return int(''.join(('1' if p == '#' else '0' for p in square)), 2)
def apply_enhancement(image, algorithm, void_value):
new_image = {}
(p1, p2) = (min(image), max(image))
for y in range(p1[1] - 2, p2[1] + 3):
for x in range(p1[0] - 2, p2[0] + 3):
index = to_decimal(get_square(x, y, image, void_value))
new_image[x, y] = algorithm[index]
return new_image
def get_void_value(algorithm, iteration):
return '.' if iteration % 2 == 0 or algorithm[0] == '.' else '#'
def run_algorithm(iterations):
(algorithm, image) = load()
for i in range(iterations):
image = apply_enhancement(image, algorithm, get_void_value(algorithm, i))
return sum((1 for p in image.values() if p == '#'))
print(run_algorithm(50)) |
#a function which formats a duration, given as a number of seconds, in a human-friendly way.
def format_duration(seconds):
if seconds is 0:
return 'now'
times = ['years', 'days', 'hours', 'minutes', 'seconds']
times_to_seconds = {'years':31536000, 'days':86400, 'hours':3600, 'minutes':60, 'seconds':1}
times_to_templates = {'years':'{} year{}', 'days':'{} day{}', 'hours':'{} hour{}',
'minutes':'{} minute{}', 'seconds':'{} second{}'}
formatted_templates = []
for time in times:
time_minimal_second = times_to_seconds[time]
if seconds >= time_minimal_second:
data = int(seconds / time_minimal_second)
if data > 1:
plural = 's'
else:
plural = ''
template = times_to_templates[time]
formatted_templates.append(template.format(data, plural))
seconds -= (time_minimal_second * data)
formatted_templates.reverse()
response = ''
for counter, formatted_template in enumerate(formatted_templates):
if counter > 1:
response = ', ' + response
if counter is 1:
response = ' and ' + response
response = formatted_template + response
return response | def format_duration(seconds):
if seconds is 0:
return 'now'
times = ['years', 'days', 'hours', 'minutes', 'seconds']
times_to_seconds = {'years': 31536000, 'days': 86400, 'hours': 3600, 'minutes': 60, 'seconds': 1}
times_to_templates = {'years': '{} year{}', 'days': '{} day{}', 'hours': '{} hour{}', 'minutes': '{} minute{}', 'seconds': '{} second{}'}
formatted_templates = []
for time in times:
time_minimal_second = times_to_seconds[time]
if seconds >= time_minimal_second:
data = int(seconds / time_minimal_second)
if data > 1:
plural = 's'
else:
plural = ''
template = times_to_templates[time]
formatted_templates.append(template.format(data, plural))
seconds -= time_minimal_second * data
formatted_templates.reverse()
response = ''
for (counter, formatted_template) in enumerate(formatted_templates):
if counter > 1:
response = ', ' + response
if counter is 1:
response = ' and ' + response
response = formatted_template + response
return response |
#
# Bounce constant investigation
#
Y_BASE = 210
Y_TOP = 88
Y_MAX = 65 # maximum allowed height
TIME = 113 # time to bounce
# simulates given arc with starting VY and gravity AY
# returns (peak,time length)
def arc(vy,ay,trace=False):
p = 0
y = 0
t = 0
if (trace):
print("arc(%5d,%5d)" % (vy,ay))
while (y >= 0):
if (trace):
print("%3d: %6d %3d" % (t,vy,Y_BASE-(y//256)))
y += vy
p = max(p,y)
vy -= ay
t += 1
return (p,t)
# guess an approximate arc, assuming a perfect parabola
def guess(p,t):
# approximate as parabola:
# c*x^2 = y
# 2*c*x = vy
# so: c * (t/2)^2 = p
p = (Y_BASE - p) * 256
c = p / (t*t/4)
v = 2 * c * (t/2)
a = v / (t/2)
return (v,a)
# prints out test result
def test(vy,ay):
(p,t) = arc(vy,ay)
p = Y_BASE - (p//256)
print("%5d,%5d: %3d %3d" % (vy,ay,p,t))
# guessing to meet Y_TOP, then check with a range of tests
(gv,ga) = guess(Y_TOP,TIME)
print("Guess: " + str((gv,ga)))
test_guess = False # turn this on to test
if test_guess:
for ia in range(-5,6):
for iv in range(-5,6):
test(int(gv+iv),int(ga+ia))
else:
arc(1110,20,True) # VY/AY, best fit found
# keep ay the same but adjust vy to meet Y_MAX
test_max = False
if test_max:
for ia in range(0,200):
test(int(1110+ia),20)
else:
arc(1211,20,True) # VYMAX
| y_base = 210
y_top = 88
y_max = 65
time = 113
def arc(vy, ay, trace=False):
p = 0
y = 0
t = 0
if trace:
print('arc(%5d,%5d)' % (vy, ay))
while y >= 0:
if trace:
print('%3d: %6d %3d' % (t, vy, Y_BASE - y // 256))
y += vy
p = max(p, y)
vy -= ay
t += 1
return (p, t)
def guess(p, t):
p = (Y_BASE - p) * 256
c = p / (t * t / 4)
v = 2 * c * (t / 2)
a = v / (t / 2)
return (v, a)
def test(vy, ay):
(p, t) = arc(vy, ay)
p = Y_BASE - p // 256
print('%5d,%5d: %3d %3d' % (vy, ay, p, t))
(gv, ga) = guess(Y_TOP, TIME)
print('Guess: ' + str((gv, ga)))
test_guess = False
if test_guess:
for ia in range(-5, 6):
for iv in range(-5, 6):
test(int(gv + iv), int(ga + ia))
else:
arc(1110, 20, True)
test_max = False
if test_max:
for ia in range(0, 200):
test(int(1110 + ia), 20)
else:
arc(1211, 20, True) |
ca, na = map(int, input().split())
fila = []
caixas = []
lim = 0
tempo = 0
for cliente in range(na):
chegada, tempo_atendimento = map(int, input().split())
fila.append([chegada, tempo_atendimento])
while fila:
try:
while (tempo >= fila[0][0]) and (len(caixas) < ca):
pessoa = fila[0]
caixas.append(pessoa[1])
if tempo - pessoa[0] > 20:
lim += 1
fila.pop(0)
for k in range(len(caixas)):
caixas[k] -= 1
while 0 in caixas:
caixas.remove(0)
tempo += 1
except:
pass
print(lim)
| (ca, na) = map(int, input().split())
fila = []
caixas = []
lim = 0
tempo = 0
for cliente in range(na):
(chegada, tempo_atendimento) = map(int, input().split())
fila.append([chegada, tempo_atendimento])
while fila:
try:
while tempo >= fila[0][0] and len(caixas) < ca:
pessoa = fila[0]
caixas.append(pessoa[1])
if tempo - pessoa[0] > 20:
lim += 1
fila.pop(0)
for k in range(len(caixas)):
caixas[k] -= 1
while 0 in caixas:
caixas.remove(0)
tempo += 1
except:
pass
print(lim) |
class Solution:
def isValid(self, s: str) -> bool:
if s[0] == ')': return False
openClose = {'(':')', '{':'}', '[':']'}
stack = []
for i in range(len(s)):
if s[i] in '({[':
stack.append(s[i])
else:
if not stack: return False
opens = stack.pop()
if s[i] != openClose[opens]: return False
return len(stack) == 0
| class Solution:
def is_valid(self, s: str) -> bool:
if s[0] == ')':
return False
open_close = {'(': ')', '{': '}', '[': ']'}
stack = []
for i in range(len(s)):
if s[i] in '({[':
stack.append(s[i])
else:
if not stack:
return False
opens = stack.pop()
if s[i] != openClose[opens]:
return False
return len(stack) == 0 |
"""Provides an abstraction around the database."""
def get_repo_list(cnx, branch):
# pick all repos with status of 0
cur = cnx.cursor()
cur.execute("SELECT `repo` FROM `github_deploy_repo` WHERE `status` = 0")
repos = [repo.split('/', 2) for (repo,) in cur]
cur.close()
repos = [tuple(repo) for repo in repos if repo[2] == branch]
return repos
def set_repo_status(cnx, owner, name, branch, commit, status):
# update the repo status table
repo = '%s/%s/%s' % (owner, name, branch)
cur = cnx.cursor()
# execute the proper update
if commit is not None:
args = (repo, commit, status, commit, status)
cur.execute("""
INSERT INTO `github_deploy_repo`
(`repo`, `commit`, `datetime`, `status`)
VALUES
(%s, %s, now(), %s)
ON DUPLICATE KEY UPDATE
`commit` = %s, `datetime` = now(), status = %s
""", args)
else:
args = (repo, status, status)
cur.execute("""
INSERT INTO `github_deploy_repo`
(`repo`, `datetime`, `status`)
VALUES
(%s, now(), %s)
ON DUPLICATE KEY UPDATE
`datetime` = now(), status = %s
""", args)
# cleanup
cur.close()
cnx.commit()
| """Provides an abstraction around the database."""
def get_repo_list(cnx, branch):
cur = cnx.cursor()
cur.execute('SELECT `repo` FROM `github_deploy_repo` WHERE `status` = 0')
repos = [repo.split('/', 2) for (repo,) in cur]
cur.close()
repos = [tuple(repo) for repo in repos if repo[2] == branch]
return repos
def set_repo_status(cnx, owner, name, branch, commit, status):
repo = '%s/%s/%s' % (owner, name, branch)
cur = cnx.cursor()
if commit is not None:
args = (repo, commit, status, commit, status)
cur.execute('\n INSERT INTO `github_deploy_repo`\n (`repo`, `commit`, `datetime`, `status`)\n VALUES\n (%s, %s, now(), %s)\n ON DUPLICATE KEY UPDATE\n `commit` = %s, `datetime` = now(), status = %s\n ', args)
else:
args = (repo, status, status)
cur.execute('\n INSERT INTO `github_deploy_repo`\n (`repo`, `datetime`, `status`)\n VALUES\n (%s, now(), %s)\n ON DUPLICATE KEY UPDATE\n `datetime` = now(), status = %s\n ', args)
cur.close()
cnx.commit() |
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __str__(self):
return "Node:%d" % self.val
class Solution:
# @param {ListNode} head
# @param {integer} val
# @return {ListNode}
def removeElements(self, head, val):
dummy = ListNode(0)
dummy.next = head
current = dummy
while current and current.next:
if current.next.val == val:
current.next = current.next.next
else:
current = current.next
return dummy.next
| class Listnode:
def __init__(self, x):
self.val = x
self.next = None
def __str__(self):
return 'Node:%d' % self.val
class Solution:
def remove_elements(self, head, val):
dummy = list_node(0)
dummy.next = head
current = dummy
while current and current.next:
if current.next.val == val:
current.next = current.next.next
else:
current = current.next
return dummy.next |
"""
:mod:`disco` -- API Reference
=============================
.. toctree::
:titlesonly:
:glob:
*
worker/index
worker/classic
"""
| """
:mod:`disco` -- API Reference
=============================
.. toctree::
:titlesonly:
:glob:
*
worker/index
worker/classic
""" |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"get_spark_session": "00_00_core.ipynb",
"get_directory_size": "00_00_core.ipynb",
"get_size_format": "00_00_core.ipynb"}
modules = ["core.py"]
doc_url = "https://HansjoergW.github.io/bfh_cas_bgd_fs2020_sa/"
git_url = "https://github.com/HansjoergW/bfh_cas_bgd_fs2020_sa/tree/master/"
def custom_doc_links(name): return None
| __all__ = ['index', 'modules', 'custom_doc_links', 'git_url']
index = {'get_spark_session': '00_00_core.ipynb', 'get_directory_size': '00_00_core.ipynb', 'get_size_format': '00_00_core.ipynb'}
modules = ['core.py']
doc_url = 'https://HansjoergW.github.io/bfh_cas_bgd_fs2020_sa/'
git_url = 'https://github.com/HansjoergW/bfh_cas_bgd_fs2020_sa/tree/master/'
def custom_doc_links(name):
return None |
def count(word):
return f'{word} has {len(word)} characters.'
if __name__ == '__main__':
print(count(input('What is the input string?'))) | def count(word):
return f'{word} has {len(word)} characters.'
if __name__ == '__main__':
print(count(input('What is the input string?'))) |
#!/usr/bin/python3
for n1 in range(1,11):
print("Tabla del " + str(n1))
print("-----------")
for n2 in range(1,11):
print(str(n1) + " por " + str(n2) + " es " + str(n1*n2))
| for n1 in range(1, 11):
print('Tabla del ' + str(n1))
print('-----------')
for n2 in range(1, 11):
print(str(n1) + ' por ' + str(n2) + ' es ' + str(n1 * n2)) |
#!/usr/bin/env python
"""wxPython GUI for VAMP project
TODO: create (or copy?) a wx.Frame subclass for holding a matplotlib plot
with navigation toolbar.
"""
#import uimain, tension, debug, geometry
| """wxPython GUI for VAMP project
TODO: create (or copy?) a wx.Frame subclass for holding a matplotlib plot
with navigation toolbar.
""" |
class Solution:
def candy(self, ratings: List[int]) -> int:
ratingsLength = len(ratings)
if ratingsLength == 0:
return 0
candies = [1] * ratingsLength
for i in range(1, ratingsLength):
if ratings[i] > ratings[i - 1]:
candies[i] = candies[i - 1] + 1
totalCandies = candies[ratingsLength - 1]
for i in range(ratingsLength - 2, -1, -1):
if ratings[i] > ratings[i + 1]:
candies[i] = max(candies[i], candies[i + 1] + 1)
totalCandies += candies[i]
return totalCandies | class Solution:
def candy(self, ratings: List[int]) -> int:
ratings_length = len(ratings)
if ratingsLength == 0:
return 0
candies = [1] * ratingsLength
for i in range(1, ratingsLength):
if ratings[i] > ratings[i - 1]:
candies[i] = candies[i - 1] + 1
total_candies = candies[ratingsLength - 1]
for i in range(ratingsLength - 2, -1, -1):
if ratings[i] > ratings[i + 1]:
candies[i] = max(candies[i], candies[i + 1] + 1)
total_candies += candies[i]
return totalCandies |
# Python 3.2 Bug from abc.py
# Make sure we handle:
# LOAD_FAST '__locals__'
# STORE_LOCALS ''
# Note this is similar to 05_abc_class.py but not the same:
# object -> classmethod
class abstractclassmethod(object):
"""A Python 3.2 STORE_LOCALS bug
"""
def __init__(self, callable):
callable.__isabstractmethod__ = True
| class Abstractclassmethod(object):
"""A Python 3.2 STORE_LOCALS bug
"""
def __init__(self, callable):
callable.__isabstractmethod__ = True |
"""
https://leetcode.com/problems/kth-missing-positive-number/
Given an array arr of positive integers sorted in a strictly increasing order, and an integer k.
Find the kth positive integer that is missing from this array.
Example 1:
Input: arr = [2,3,4,7,11], k = 5
Output: 9
Explanation: The missing positive integers are [1,5,6,8,9,10,12,13,...]. The 5th missing positive integer is 9.
Example 2:
Input: arr = [1,2,3,4], k = 2
Output: 6
Explanation: The missing positive integers are [5,6,7,...]. The 2nd missing positive integer is 6.
Constraints:
1 <= arr.length <= 1000
1 <= arr[i] <= 1000
1 <= k <= 1000
arr[i] < arr[j] for 1 <= i < j <= arr.length
"""
# time complexity: O(n), space complexity: O(n)
class Solution:
def findKthPositive(self, arr: List[int], k: int) -> int:
if arr[0] > k:
return k
if arr[-1] - len(arr) < k:
return k + len(arr)
else:
if arr[0] != 1:
k -= arr[0] - 1
arrset = set(arr)
missed = 0
for i in range(arr[0], arr[-1]):
if i not in arrset:
missed += 1
if missed == k:
return i
| """
https://leetcode.com/problems/kth-missing-positive-number/
Given an array arr of positive integers sorted in a strictly increasing order, and an integer k.
Find the kth positive integer that is missing from this array.
Example 1:
Input: arr = [2,3,4,7,11], k = 5
Output: 9
Explanation: The missing positive integers are [1,5,6,8,9,10,12,13,...]. The 5th missing positive integer is 9.
Example 2:
Input: arr = [1,2,3,4], k = 2
Output: 6
Explanation: The missing positive integers are [5,6,7,...]. The 2nd missing positive integer is 6.
Constraints:
1 <= arr.length <= 1000
1 <= arr[i] <= 1000
1 <= k <= 1000
arr[i] < arr[j] for 1 <= i < j <= arr.length
"""
class Solution:
def find_kth_positive(self, arr: List[int], k: int) -> int:
if arr[0] > k:
return k
if arr[-1] - len(arr) < k:
return k + len(arr)
else:
if arr[0] != 1:
k -= arr[0] - 1
arrset = set(arr)
missed = 0
for i in range(arr[0], arr[-1]):
if i not in arrset:
missed += 1
if missed == k:
return i |
expected_output = {
'cores': {
1: {
'virtual_service': 'guestshell+',
'process_name': 'sleep',
'pid': 266,
'date': '2019-05-30 19:53:28',
},
}
}
| expected_output = {'cores': {1: {'virtual_service': 'guestshell+', 'process_name': 'sleep', 'pid': 266, 'date': '2019-05-30 19:53:28'}}} |
# Copyright 2009 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'includes': [
'../../../../../build/common.gypi',
],
'targets': [
{
'target_name': 'service_runtime_x86_32',
'type': 'static_library',
'sources': [
'nacl_app_32.c',
'nacl_switch_32.S',
'nacl_switch_all_regs_32.c',
'nacl_switch_all_regs_asm_32.S',
'nacl_switch_to_app_32.c',
'nacl_syscall_32.S',
'nacl_tls_32.c',
'sel_addrspace_x86_32.c',
'sel_ldr_x86_32.c',
'sel_rt_32.c',
'springboard.S',
'tramp_32.S',
],
# VS2010 does not correctly incrementally link obj files generated from
# asm files. This flag disables UseLibraryDependencyInputs to avoid
# this problem.
'msvs_2010_disable_uldi_when_referenced': 1,
'conditions': [
['OS=="mac"', {
'sources' : [
'../../osx/nacl_signal_32.c',
] },
],
['OS=="linux" or OS=="android"', {
'sources' : [
'../../linux/nacl_signal_32.c',
] },
],
['OS=="win"', {
'sources' : [
'../../win/nacl_signal_32.c',
] },
],
],
},
],
}
| {'includes': ['../../../../../build/common.gypi'], 'targets': [{'target_name': 'service_runtime_x86_32', 'type': 'static_library', 'sources': ['nacl_app_32.c', 'nacl_switch_32.S', 'nacl_switch_all_regs_32.c', 'nacl_switch_all_regs_asm_32.S', 'nacl_switch_to_app_32.c', 'nacl_syscall_32.S', 'nacl_tls_32.c', 'sel_addrspace_x86_32.c', 'sel_ldr_x86_32.c', 'sel_rt_32.c', 'springboard.S', 'tramp_32.S'], 'msvs_2010_disable_uldi_when_referenced': 1, 'conditions': [['OS=="mac"', {'sources': ['../../osx/nacl_signal_32.c']}], ['OS=="linux" or OS=="android"', {'sources': ['../../linux/nacl_signal_32.c']}], ['OS=="win"', {'sources': ['../../win/nacl_signal_32.c']}]]}]} |
n=int(input())
x=[0]+[*map(int,input().split())]
dp=[0]*(n+5)
dp[1]=x[1]
ans=dp[1]
for i in range(2,n+1):
dp[i]=x[i]
for j in range(1,i):
if x[j]>x[i]:
dp[i]=max(dp[i],dp[j]+x[i])
ans=max(ans,dp[i])
print(ans) | n = int(input())
x = [0] + [*map(int, input().split())]
dp = [0] * (n + 5)
dp[1] = x[1]
ans = dp[1]
for i in range(2, n + 1):
dp[i] = x[i]
for j in range(1, i):
if x[j] > x[i]:
dp[i] = max(dp[i], dp[j] + x[i])
ans = max(ans, dp[i])
print(ans) |
n = int(input())
slist = []
for i in range(2,n):
iss = False
for ii in range(2,i):
if i%ii == 0:
iss = True
break;
if not iss:
slist.append(i)
print(slist)
| n = int(input())
slist = []
for i in range(2, n):
iss = False
for ii in range(2, i):
if i % ii == 0:
iss = True
break
if not iss:
slist.append(i)
print(slist) |
def binary_classification_metrics(prediction, ground_truth):
'''
Computes metrics for binary classification
Arguments:
prediction, np array of bool (num_samples) - model predictions
ground_truth, np array of bool (num_samples) - true labels
Returns:
precision, recall, f1, accuracy - classification metrics
'''
tp = fp = tn = fn = 0
for x, y in zip(prediction, ground_truth):
if x and y:
tp += 1
elif not x and not y:
tn += 1
elif x and not y:
fp += 1
else:
fn += 1
accuracy = (tp + tn) / prediction.shape[0]
precision = tp / (tp + fp) if tp + fp > 0 else 0
recall = tp / (tp + fn) if tp + fn > 0 else 0
f1 = 2 * precision * recall / (precision + recall) if precision + recall > 0 else 0
# implement metrics!
# Some helpful links:
# https://en.wikipedia.org/wiki/Precision_and_recall
# https://en.wikipedia.org/wiki/F1_score
return precision, recall, f1, accuracy
def multiclass_accuracy(prediction, ground_truth):
'''
Computes metrics for multiclass classification
Arguments:
prediction, np array of int (num_samples) - model predictions
ground_truth, np array of int (num_samples) - true labels
Returns:
accuracy - ratio of accurate predictions to total samples
'''
# Implement computing accuracy
return sum(1 for x, y in zip(prediction, ground_truth) if x == y) / prediction.shape[0]
| def binary_classification_metrics(prediction, ground_truth):
"""
Computes metrics for binary classification
Arguments:
prediction, np array of bool (num_samples) - model predictions
ground_truth, np array of bool (num_samples) - true labels
Returns:
precision, recall, f1, accuracy - classification metrics
"""
tp = fp = tn = fn = 0
for (x, y) in zip(prediction, ground_truth):
if x and y:
tp += 1
elif not x and (not y):
tn += 1
elif x and (not y):
fp += 1
else:
fn += 1
accuracy = (tp + tn) / prediction.shape[0]
precision = tp / (tp + fp) if tp + fp > 0 else 0
recall = tp / (tp + fn) if tp + fn > 0 else 0
f1 = 2 * precision * recall / (precision + recall) if precision + recall > 0 else 0
return (precision, recall, f1, accuracy)
def multiclass_accuracy(prediction, ground_truth):
"""
Computes metrics for multiclass classification
Arguments:
prediction, np array of int (num_samples) - model predictions
ground_truth, np array of int (num_samples) - true labels
Returns:
accuracy - ratio of accurate predictions to total samples
"""
return sum((1 for (x, y) in zip(prediction, ground_truth) if x == y)) / prediction.shape[0] |
global driver
def infect(driver_):
global driver
driver = driver_
class Widget:
selector = None
def __init__(self, driver):
self.driver = driver
def setup_class(self):
if self.selector is None:
raise Exception('You need to assign me a selector: %s' % self)
self.node = driver(self.selector)
class WordInContext(Widget):
'''The word in context tab should work'''
def test_one(self):
'''There should be at least one loaded entry'''
rows = self.node.findall('tbody tr')
assert len(rows)
row = rows[0]
assert row.get_attribute('word') == row.find('td.word a').text
| global driver
def infect(driver_):
global driver
driver = driver_
class Widget:
selector = None
def __init__(self, driver):
self.driver = driver
def setup_class(self):
if self.selector is None:
raise exception('You need to assign me a selector: %s' % self)
self.node = driver(self.selector)
class Wordincontext(Widget):
"""The word in context tab should work"""
def test_one(self):
"""There should be at least one loaded entry"""
rows = self.node.findall('tbody tr')
assert len(rows)
row = rows[0]
assert row.get_attribute('word') == row.find('td.word a').text |
#
# PySNMP MIB module LIEBERT-GP-AGENT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/LIEBERT-GP-AGENT-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:06:38 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")
SingleValueConstraint, ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "ConstraintsIntersection")
lgpNetworkName, lgpConditionDescription, lgpConditionsPresent = mibBuilder.importSymbols("LIEBERT-GP-CONDITIONS-MIB", "lgpNetworkName", "lgpConditionDescription", "lgpConditionsPresent")
liebertAgentModuleReg, lgpAgentDevice, lgpAgentControl, lgpAgentNotifications, lgpAgentIdent = mibBuilder.importSymbols("LIEBERT-GP-REGISTRATION-MIB", "liebertAgentModuleReg", "lgpAgentDevice", "lgpAgentControl", "lgpAgentNotifications", "lgpAgentIdent")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
sysUpTime, = mibBuilder.importSymbols("SNMPv2-MIB", "sysUpTime")
NotificationType, Gauge32, Counter32, MibIdentifier, ObjectIdentity, Unsigned32, IpAddress, iso, Bits, Counter64, TimeTicks, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "Gauge32", "Counter32", "MibIdentifier", "ObjectIdentity", "Unsigned32", "IpAddress", "iso", "Bits", "Counter64", "TimeTicks", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
liebertAgentModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 476, 1, 42, 1, 2, 1))
liebertAgentModule.setRevisions(('2008-11-17 00:00', '2008-07-02 00:00', '2008-01-10 00:00', '2007-05-29 00:00', '2006-02-22 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: liebertAgentModule.setRevisionsDescriptions(('Added support for NXL unit.', 'Updated INTEGER references to Integer32 (SMIv2). Added missing item to import (Unsigned32)', 'Modified contact email address and added lgpAgentEventNotifications objects.', 'Added support for XDF Unit.', 'Added support for Liebert DS Unit.',))
if mibBuilder.loadTexts: liebertAgentModule.setLastUpdated('200811170000Z')
if mibBuilder.loadTexts: liebertAgentModule.setOrganization('Liebert Corporation')
if mibBuilder.loadTexts: liebertAgentModule.setContactInfo('Contact: Technical Support Postal: Liebert Corporation 1050 Dearborn Drive P.O. Box 29186 Columbus OH, 43229 US Tel: +1 (800) 222-5877 E-mail: liebert.monitoring@emerson.com Web: www.liebert.com Author: Gregory M. Hoge')
if mibBuilder.loadTexts: liebertAgentModule.setDescription("The MIB module used to specify Liebert software or firmware agent SNMP OIDs. Copyright 2000-2008 Liebert Corporation. All rights reserved. Reproduction of this document is authorized on the condition that the forgoing copyright notice is included. This Specification is supplied 'AS IS' and Liebert Corporation makes no warranty, either express or implied, as to the use, operation, condition, or performance of the Specification.")
lgpAgentIdentManufacturer = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(255, 255)).setFixedLength(255)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentIdentManufacturer.setStatus('current')
if mibBuilder.loadTexts: lgpAgentIdentManufacturer.setDescription('The agent manufacturer.')
lgpAgentIdentModel = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(255, 255)).setFixedLength(255)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentIdentModel.setStatus('current')
if mibBuilder.loadTexts: lgpAgentIdentModel.setDescription('The agent model designation. This identifier is typically a model name or ID')
lgpAgentIdentFirmwareVersion = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(64, 64)).setFixedLength(64)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentIdentFirmwareVersion.setStatus('current')
if mibBuilder.loadTexts: lgpAgentIdentFirmwareVersion.setDescription('The firmware revision level of the agent.')
lgpAgentIdentSerialNumber = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(64, 64)).setFixedLength(64)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentIdentSerialNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentIdentSerialNumber.setDescription('The serial number of the agent. This is a string of alphanumeric characters that uniquely identifies the agent hardware. This number is assigned when the agent hardware is manufactured and does not change throughout its lifecycle.')
lgpAgentIdentPartNumber = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(255, 255)).setFixedLength(255)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentIdentPartNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentIdentPartNumber.setDescription('The agent model part number designation.')
lgpAgentConnectedDeviceCount = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 6), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentConnectedDeviceCount.setStatus('current')
if mibBuilder.loadTexts: lgpAgentConnectedDeviceCount.setDescription('The number of devices currently connected and communicating successfully with the agent. Devices for which communications are currently being attempted are not considered in this count.')
lgpAgentEventNotifications = ObjectIdentity((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0))
if mibBuilder.loadTexts: lgpAgentEventNotifications.setStatus('current')
if mibBuilder.loadTexts: lgpAgentEventNotifications.setDescription('Agent specific notifications.')
lgpAgentDeviceCommunicationLost = NotificationType((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 1)).setObjects(("SNMPv2-MIB", "sysUpTime"))
if mibBuilder.loadTexts: lgpAgentDeviceCommunicationLost.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceCommunicationLost.setDescription('The agent has lost communications with a managed device.')
lgpAgentFirmwareUpdateSuccessful = NotificationType((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 5)).setObjects(("SNMPv2-MIB", "sysUpTime"))
if mibBuilder.loadTexts: lgpAgentFirmwareUpdateSuccessful.setStatus('current')
if mibBuilder.loadTexts: lgpAgentFirmwareUpdateSuccessful.setDescription('The firmware update to the agent card has completed successfully.')
lgpAgentFirmwareCorrupt = NotificationType((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 6)).setObjects(("SNMPv2-MIB", "sysUpTime"))
if mibBuilder.loadTexts: lgpAgentFirmwareCorrupt.setStatus('current')
if mibBuilder.loadTexts: lgpAgentFirmwareCorrupt.setDescription('The firmware update to the agent card has failed and the firmware is now corrupt.')
lgpAgentHeartbeat = NotificationType((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 7)).setObjects(("SNMPv2-MIB", "sysUpTime"), ("LIEBERT-GP-CONDITIONS-MIB", "lgpConditionsPresent"), ("LIEBERT-GP-AGENT-MIB", "lgpAgentConnectedDeviceCount"))
if mibBuilder.loadTexts: lgpAgentHeartbeat.setStatus('current')
if mibBuilder.loadTexts: lgpAgentHeartbeat.setDescription('The agent card is alive.')
lgpAgentDnsLookupFailure = NotificationType((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 8)).setObjects(("SNMPv2-MIB", "sysUpTime"), ("LIEBERT-GP-CONDITIONS-MIB", "lgpNetworkName"))
if mibBuilder.loadTexts: lgpAgentDnsLookupFailure.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDnsLookupFailure.setDescription('A Domain Name System (DNS) lookup of a network name failed to resolve. This may result in one or more of the following: 1. failure to notify a target address of an important condition 2. failure allow access for monitoring purposes This issue should be resolved as soon as possible with a network or system administrator.')
lgpAgentManagedDeviceTable = MibTable((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2), )
if mibBuilder.loadTexts: lgpAgentManagedDeviceTable.setStatus('current')
if mibBuilder.loadTexts: lgpAgentManagedDeviceTable.setDescription('This table contains one entry for each managed device.')
lgpAgentManagedDeviceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1), ).setIndexNames((0, "LIEBERT-GP-AGENT-MIB", "lgpAgentDeviceIndex"))
if mibBuilder.loadTexts: lgpAgentManagedDeviceEntry.setStatus('current')
if mibBuilder.loadTexts: lgpAgentManagedDeviceEntry.setDescription("This entry describes a row in the table 'lgpAgentManagedDeviceTable'. The rows in this table cannot be created by the NMS. The rows are automatically created by the agent based upon the hardware configuration of the Liebert managed device(s) being monitored with this agent.")
lgpAgentDeviceIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65536))).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceIndex.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceIndex.setDescription("The device identifier. This is used as an index to address a particular row in the table 'lgpAgentManagedDeviceTable'.")
lgpAgentDeviceId = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 2), ObjectIdentifier()).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceId.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceId.setDescription('The managed device specific identifier defined by the product registration.')
lgpAgentDeviceManufacturer = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(255, 255)).setFixedLength(255)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceManufacturer.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceManufacturer.setDescription('The managed device manufacturer.')
lgpAgentDeviceModel = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(255, 255)).setFixedLength(255)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceModel.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceModel.setDescription('The managed device model designation.')
lgpAgentDeviceFirmwareVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(64, 64)).setFixedLength(64)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceFirmwareVersion.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceFirmwareVersion.setDescription('The firmware revision level of the managed device.')
lgpAgentDeviceUnitNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 6), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceUnitNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceUnitNumber.setDescription("The managed device unit number. Typically this is a number assigned to a managed device that uniquely identifies it from other similar devices within a 'system'.")
lgpAgentDeviceSerialNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(64, 64)).setFixedLength(64)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceSerialNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceSerialNumber.setDescription('The serial number of the managed device.')
lgpAgentDeviceManufactureDate = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(64, 64)).setFixedLength(64)).setMaxAccess("readonly")
if mibBuilder.loadTexts: lgpAgentDeviceManufactureDate.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceManufactureDate.setDescription('The manufacture date of the managed device.')
lgpAgentDeviceServiceContact = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServiceContact.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServiceContact.setDescription('The service contact of the managed device.')
lgpAgentDeviceServicePhoneNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServicePhoneNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServicePhoneNumber.setDescription('The phone number of the service contact of the managed device.')
lgpAgentDeviceServiceAddrLine1 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine1.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine1.setDescription('Line 1 of the service address of the managed device.')
lgpAgentDeviceServiceAddrLine2 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine2.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine2.setDescription('Line 2 of the service address of the managed device.')
lgpAgentDeviceServiceAddrLine3 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine3.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine3.setDescription('Line 3 of the service address of the managed device.')
lgpAgentDeviceServiceAddrLine4 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine4.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceServiceAddrLine4.setDescription('Line 4 of the service address of the managed device.')
lgpAgentDeviceUnitName = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceUnitName.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceUnitName.setDescription('Unit name for the managed device assigned by the customer.')
lgpAgentDeviceSiteIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceSiteIdentifier.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceSiteIdentifier.setDescription('Identifier that uniquely identifies the site where this device is located.')
lgpAgentDeviceTagNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 17), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceTagNumber.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceTagNumber.setDescription('Identifier that uniquely identifies this device within a particular site (see lgpAgentDeviceSiteIdentifier).')
lgpAgentDeviceOrderLine1 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 18), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceOrderLine1.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceOrderLine1.setDescription('Customer Sales Order information line 1.')
lgpAgentDeviceOrderLine2 = MibTableColumn((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 19), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentDeviceOrderLine2.setStatus('current')
if mibBuilder.loadTexts: lgpAgentDeviceOrderLine2.setDescription('Customer Sales Order information line 2.')
lgpAgentReboot = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 1), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentReboot.setStatus('current')
if mibBuilder.loadTexts: lgpAgentReboot.setDescription("Perform an immediate 'reboot' of the agent process. When possible the reboot will approximate a power on reset of the agent communications hardware. This type of reboot will be performed if a hardware reset is supported by the hardware/software on the communications card. Otherwise a 'software' reboot will be executed. In both cases a temporary loss of communications and other agent functionality will result. Any valid INTEGER value may be written to this object to initiate the reboot operation. If read the value '0' will always be returned.")
lgpAgentTelnetEnabled = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("yes", 1), ("no", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentTelnetEnabled.setStatus('current')
if mibBuilder.loadTexts: lgpAgentTelnetEnabled.setDescription('This object represents the settings of Telnet. yes Telnet services are enabled. no Telnet services are disabled. The system must be rebooted before changes can take effect.')
lgpAgentVelocityServerEnabled = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("yes", 1), ("no", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentVelocityServerEnabled.setStatus('current')
if mibBuilder.loadTexts: lgpAgentVelocityServerEnabled.setDescription('This object configures the Velocity Server to grant external clients access to agent data via the Liebert Velocity protocol. yes Agent data is available to external clients via the Liebert Velocity protocol. no Agent data is not available to external clients via the Liebert Velocity protocol. The system must be rebooted before changes can take effect.')
lgpAgentWebServerMode = MibScalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("disabled", 0), ("http", 1), ("https", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lgpAgentWebServerMode.setStatus('current')
if mibBuilder.loadTexts: lgpAgentWebServerMode.setDescription('This object represents the settings of Web services. disabled Web services are disabled. http Web server mode is HTTP (not secure). https Web server mode is secure HTTP. The system must be rebooted before changes can take effect.')
mibBuilder.exportSymbols("LIEBERT-GP-AGENT-MIB", lgpAgentDeviceUnitName=lgpAgentDeviceUnitName, lgpAgentWebServerMode=lgpAgentWebServerMode, PYSNMP_MODULE_ID=liebertAgentModule, lgpAgentDeviceUnitNumber=lgpAgentDeviceUnitNumber, lgpAgentDeviceServiceAddrLine3=lgpAgentDeviceServiceAddrLine3, lgpAgentConnectedDeviceCount=lgpAgentConnectedDeviceCount, lgpAgentDeviceFirmwareVersion=lgpAgentDeviceFirmwareVersion, lgpAgentEventNotifications=lgpAgentEventNotifications, liebertAgentModule=liebertAgentModule, lgpAgentIdentSerialNumber=lgpAgentIdentSerialNumber, lgpAgentVelocityServerEnabled=lgpAgentVelocityServerEnabled, lgpAgentDeviceSiteIdentifier=lgpAgentDeviceSiteIdentifier, lgpAgentIdentModel=lgpAgentIdentModel, lgpAgentDeviceServiceAddrLine2=lgpAgentDeviceServiceAddrLine2, lgpAgentFirmwareUpdateSuccessful=lgpAgentFirmwareUpdateSuccessful, lgpAgentDeviceModel=lgpAgentDeviceModel, lgpAgentFirmwareCorrupt=lgpAgentFirmwareCorrupt, lgpAgentDeviceIndex=lgpAgentDeviceIndex, lgpAgentDeviceServicePhoneNumber=lgpAgentDeviceServicePhoneNumber, lgpAgentDeviceServiceContact=lgpAgentDeviceServiceContact, lgpAgentIdentManufacturer=lgpAgentIdentManufacturer, lgpAgentManagedDeviceEntry=lgpAgentManagedDeviceEntry, lgpAgentDeviceManufacturer=lgpAgentDeviceManufacturer, lgpAgentHeartbeat=lgpAgentHeartbeat, lgpAgentTelnetEnabled=lgpAgentTelnetEnabled, lgpAgentDeviceManufactureDate=lgpAgentDeviceManufactureDate, lgpAgentDeviceServiceAddrLine4=lgpAgentDeviceServiceAddrLine4, lgpAgentDeviceServiceAddrLine1=lgpAgentDeviceServiceAddrLine1, lgpAgentDeviceOrderLine2=lgpAgentDeviceOrderLine2, lgpAgentIdentFirmwareVersion=lgpAgentIdentFirmwareVersion, lgpAgentDeviceOrderLine1=lgpAgentDeviceOrderLine1, lgpAgentDeviceId=lgpAgentDeviceId, lgpAgentDeviceCommunicationLost=lgpAgentDeviceCommunicationLost, lgpAgentDnsLookupFailure=lgpAgentDnsLookupFailure, lgpAgentManagedDeviceTable=lgpAgentManagedDeviceTable, lgpAgentDeviceSerialNumber=lgpAgentDeviceSerialNumber, lgpAgentIdentPartNumber=lgpAgentIdentPartNumber, lgpAgentDeviceTagNumber=lgpAgentDeviceTagNumber, lgpAgentReboot=lgpAgentReboot)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, value_size_constraint, constraints_union, value_range_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'ConstraintsIntersection')
(lgp_network_name, lgp_condition_description, lgp_conditions_present) = mibBuilder.importSymbols('LIEBERT-GP-CONDITIONS-MIB', 'lgpNetworkName', 'lgpConditionDescription', 'lgpConditionsPresent')
(liebert_agent_module_reg, lgp_agent_device, lgp_agent_control, lgp_agent_notifications, lgp_agent_ident) = mibBuilder.importSymbols('LIEBERT-GP-REGISTRATION-MIB', 'liebertAgentModuleReg', 'lgpAgentDevice', 'lgpAgentControl', 'lgpAgentNotifications', 'lgpAgentIdent')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(sys_up_time,) = mibBuilder.importSymbols('SNMPv2-MIB', 'sysUpTime')
(notification_type, gauge32, counter32, mib_identifier, object_identity, unsigned32, ip_address, iso, bits, counter64, time_ticks, module_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32) = mibBuilder.importSymbols('SNMPv2-SMI', 'NotificationType', 'Gauge32', 'Counter32', 'MibIdentifier', 'ObjectIdentity', 'Unsigned32', 'IpAddress', 'iso', 'Bits', 'Counter64', 'TimeTicks', 'ModuleIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
liebert_agent_module = module_identity((1, 3, 6, 1, 4, 1, 476, 1, 42, 1, 2, 1))
liebertAgentModule.setRevisions(('2008-11-17 00:00', '2008-07-02 00:00', '2008-01-10 00:00', '2007-05-29 00:00', '2006-02-22 00:00'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
liebertAgentModule.setRevisionsDescriptions(('Added support for NXL unit.', 'Updated INTEGER references to Integer32 (SMIv2). Added missing item to import (Unsigned32)', 'Modified contact email address and added lgpAgentEventNotifications objects.', 'Added support for XDF Unit.', 'Added support for Liebert DS Unit.'))
if mibBuilder.loadTexts:
liebertAgentModule.setLastUpdated('200811170000Z')
if mibBuilder.loadTexts:
liebertAgentModule.setOrganization('Liebert Corporation')
if mibBuilder.loadTexts:
liebertAgentModule.setContactInfo('Contact: Technical Support Postal: Liebert Corporation 1050 Dearborn Drive P.O. Box 29186 Columbus OH, 43229 US Tel: +1 (800) 222-5877 E-mail: liebert.monitoring@emerson.com Web: www.liebert.com Author: Gregory M. Hoge')
if mibBuilder.loadTexts:
liebertAgentModule.setDescription("The MIB module used to specify Liebert software or firmware agent SNMP OIDs. Copyright 2000-2008 Liebert Corporation. All rights reserved. Reproduction of this document is authorized on the condition that the forgoing copyright notice is included. This Specification is supplied 'AS IS' and Liebert Corporation makes no warranty, either express or implied, as to the use, operation, condition, or performance of the Specification.")
lgp_agent_ident_manufacturer = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 1), display_string().subtype(subtypeSpec=value_size_constraint(255, 255)).setFixedLength(255)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentIdentManufacturer.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentIdentManufacturer.setDescription('The agent manufacturer.')
lgp_agent_ident_model = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 2), display_string().subtype(subtypeSpec=value_size_constraint(255, 255)).setFixedLength(255)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentIdentModel.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentIdentModel.setDescription('The agent model designation. This identifier is typically a model name or ID')
lgp_agent_ident_firmware_version = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(64, 64)).setFixedLength(64)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentIdentFirmwareVersion.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentIdentFirmwareVersion.setDescription('The firmware revision level of the agent.')
lgp_agent_ident_serial_number = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 4), display_string().subtype(subtypeSpec=value_size_constraint(64, 64)).setFixedLength(64)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentIdentSerialNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentIdentSerialNumber.setDescription('The serial number of the agent. This is a string of alphanumeric characters that uniquely identifies the agent hardware. This number is assigned when the agent hardware is manufactured and does not change throughout its lifecycle.')
lgp_agent_ident_part_number = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 5), display_string().subtype(subtypeSpec=value_size_constraint(255, 255)).setFixedLength(255)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentIdentPartNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentIdentPartNumber.setDescription('The agent model part number designation.')
lgp_agent_connected_device_count = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 1, 6), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentConnectedDeviceCount.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentConnectedDeviceCount.setDescription('The number of devices currently connected and communicating successfully with the agent. Devices for which communications are currently being attempted are not considered in this count.')
lgp_agent_event_notifications = object_identity((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0))
if mibBuilder.loadTexts:
lgpAgentEventNotifications.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentEventNotifications.setDescription('Agent specific notifications.')
lgp_agent_device_communication_lost = notification_type((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 1)).setObjects(('SNMPv2-MIB', 'sysUpTime'))
if mibBuilder.loadTexts:
lgpAgentDeviceCommunicationLost.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceCommunicationLost.setDescription('The agent has lost communications with a managed device.')
lgp_agent_firmware_update_successful = notification_type((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 5)).setObjects(('SNMPv2-MIB', 'sysUpTime'))
if mibBuilder.loadTexts:
lgpAgentFirmwareUpdateSuccessful.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentFirmwareUpdateSuccessful.setDescription('The firmware update to the agent card has completed successfully.')
lgp_agent_firmware_corrupt = notification_type((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 6)).setObjects(('SNMPv2-MIB', 'sysUpTime'))
if mibBuilder.loadTexts:
lgpAgentFirmwareCorrupt.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentFirmwareCorrupt.setDescription('The firmware update to the agent card has failed and the firmware is now corrupt.')
lgp_agent_heartbeat = notification_type((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 7)).setObjects(('SNMPv2-MIB', 'sysUpTime'), ('LIEBERT-GP-CONDITIONS-MIB', 'lgpConditionsPresent'), ('LIEBERT-GP-AGENT-MIB', 'lgpAgentConnectedDeviceCount'))
if mibBuilder.loadTexts:
lgpAgentHeartbeat.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentHeartbeat.setDescription('The agent card is alive.')
lgp_agent_dns_lookup_failure = notification_type((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 3, 0, 8)).setObjects(('SNMPv2-MIB', 'sysUpTime'), ('LIEBERT-GP-CONDITIONS-MIB', 'lgpNetworkName'))
if mibBuilder.loadTexts:
lgpAgentDnsLookupFailure.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDnsLookupFailure.setDescription('A Domain Name System (DNS) lookup of a network name failed to resolve. This may result in one or more of the following: 1. failure to notify a target address of an important condition 2. failure allow access for monitoring purposes This issue should be resolved as soon as possible with a network or system administrator.')
lgp_agent_managed_device_table = mib_table((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2))
if mibBuilder.loadTexts:
lgpAgentManagedDeviceTable.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentManagedDeviceTable.setDescription('This table contains one entry for each managed device.')
lgp_agent_managed_device_entry = mib_table_row((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1)).setIndexNames((0, 'LIEBERT-GP-AGENT-MIB', 'lgpAgentDeviceIndex'))
if mibBuilder.loadTexts:
lgpAgentManagedDeviceEntry.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentManagedDeviceEntry.setDescription("This entry describes a row in the table 'lgpAgentManagedDeviceTable'. The rows in this table cannot be created by the NMS. The rows are automatically created by the agent based upon the hardware configuration of the Liebert managed device(s) being monitored with this agent.")
lgp_agent_device_index = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(0, 65536))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceIndex.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceIndex.setDescription("The device identifier. This is used as an index to address a particular row in the table 'lgpAgentManagedDeviceTable'.")
lgp_agent_device_id = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 2), object_identifier()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceId.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceId.setDescription('The managed device specific identifier defined by the product registration.')
lgp_agent_device_manufacturer = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(255, 255)).setFixedLength(255)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceManufacturer.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceManufacturer.setDescription('The managed device manufacturer.')
lgp_agent_device_model = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 4), display_string().subtype(subtypeSpec=value_size_constraint(255, 255)).setFixedLength(255)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceModel.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceModel.setDescription('The managed device model designation.')
lgp_agent_device_firmware_version = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 5), display_string().subtype(subtypeSpec=value_size_constraint(64, 64)).setFixedLength(64)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceFirmwareVersion.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceFirmwareVersion.setDescription('The firmware revision level of the managed device.')
lgp_agent_device_unit_number = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 6), integer32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceUnitNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceUnitNumber.setDescription("The managed device unit number. Typically this is a number assigned to a managed device that uniquely identifies it from other similar devices within a 'system'.")
lgp_agent_device_serial_number = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 7), display_string().subtype(subtypeSpec=value_size_constraint(64, 64)).setFixedLength(64)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceSerialNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceSerialNumber.setDescription('The serial number of the managed device.')
lgp_agent_device_manufacture_date = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 8), display_string().subtype(subtypeSpec=value_size_constraint(64, 64)).setFixedLength(64)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
lgpAgentDeviceManufactureDate.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceManufactureDate.setDescription('The manufacture date of the managed device.')
lgp_agent_device_service_contact = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 9), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceContact.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceContact.setDescription('The service contact of the managed device.')
lgp_agent_device_service_phone_number = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 10), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServicePhoneNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServicePhoneNumber.setDescription('The phone number of the service contact of the managed device.')
lgp_agent_device_service_addr_line1 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 11), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine1.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine1.setDescription('Line 1 of the service address of the managed device.')
lgp_agent_device_service_addr_line2 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine2.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine2.setDescription('Line 2 of the service address of the managed device.')
lgp_agent_device_service_addr_line3 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 13), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine3.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine3.setDescription('Line 3 of the service address of the managed device.')
lgp_agent_device_service_addr_line4 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine4.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceServiceAddrLine4.setDescription('Line 4 of the service address of the managed device.')
lgp_agent_device_unit_name = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceUnitName.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceUnitName.setDescription('Unit name for the managed device assigned by the customer.')
lgp_agent_device_site_identifier = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 16), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceSiteIdentifier.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceSiteIdentifier.setDescription('Identifier that uniquely identifies the site where this device is located.')
lgp_agent_device_tag_number = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 17), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceTagNumber.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceTagNumber.setDescription('Identifier that uniquely identifies this device within a particular site (see lgpAgentDeviceSiteIdentifier).')
lgp_agent_device_order_line1 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 18), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceOrderLine1.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceOrderLine1.setDescription('Customer Sales Order information line 1.')
lgp_agent_device_order_line2 = mib_table_column((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 4, 2, 1, 19), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentDeviceOrderLine2.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentDeviceOrderLine2.setDescription('Customer Sales Order information line 2.')
lgp_agent_reboot = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 1), integer32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentReboot.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentReboot.setDescription("Perform an immediate 'reboot' of the agent process. When possible the reboot will approximate a power on reset of the agent communications hardware. This type of reboot will be performed if a hardware reset is supported by the hardware/software on the communications card. Otherwise a 'software' reboot will be executed. In both cases a temporary loss of communications and other agent functionality will result. Any valid INTEGER value may be written to this object to initiate the reboot operation. If read the value '0' will always be returned.")
lgp_agent_telnet_enabled = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('yes', 1), ('no', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentTelnetEnabled.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentTelnetEnabled.setDescription('This object represents the settings of Telnet. yes Telnet services are enabled. no Telnet services are disabled. The system must be rebooted before changes can take effect.')
lgp_agent_velocity_server_enabled = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('yes', 1), ('no', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentVelocityServerEnabled.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentVelocityServerEnabled.setDescription('This object configures the Velocity Server to grant external clients access to agent data via the Liebert Velocity protocol. yes Agent data is available to external clients via the Liebert Velocity protocol. no Agent data is not available to external clients via the Liebert Velocity protocol. The system must be rebooted before changes can take effect.')
lgp_agent_web_server_mode = mib_scalar((1, 3, 6, 1, 4, 1, 476, 1, 42, 2, 5, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2))).clone(namedValues=named_values(('disabled', 0), ('http', 1), ('https', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
lgpAgentWebServerMode.setStatus('current')
if mibBuilder.loadTexts:
lgpAgentWebServerMode.setDescription('This object represents the settings of Web services. disabled Web services are disabled. http Web server mode is HTTP (not secure). https Web server mode is secure HTTP. The system must be rebooted before changes can take effect.')
mibBuilder.exportSymbols('LIEBERT-GP-AGENT-MIB', lgpAgentDeviceUnitName=lgpAgentDeviceUnitName, lgpAgentWebServerMode=lgpAgentWebServerMode, PYSNMP_MODULE_ID=liebertAgentModule, lgpAgentDeviceUnitNumber=lgpAgentDeviceUnitNumber, lgpAgentDeviceServiceAddrLine3=lgpAgentDeviceServiceAddrLine3, lgpAgentConnectedDeviceCount=lgpAgentConnectedDeviceCount, lgpAgentDeviceFirmwareVersion=lgpAgentDeviceFirmwareVersion, lgpAgentEventNotifications=lgpAgentEventNotifications, liebertAgentModule=liebertAgentModule, lgpAgentIdentSerialNumber=lgpAgentIdentSerialNumber, lgpAgentVelocityServerEnabled=lgpAgentVelocityServerEnabled, lgpAgentDeviceSiteIdentifier=lgpAgentDeviceSiteIdentifier, lgpAgentIdentModel=lgpAgentIdentModel, lgpAgentDeviceServiceAddrLine2=lgpAgentDeviceServiceAddrLine2, lgpAgentFirmwareUpdateSuccessful=lgpAgentFirmwareUpdateSuccessful, lgpAgentDeviceModel=lgpAgentDeviceModel, lgpAgentFirmwareCorrupt=lgpAgentFirmwareCorrupt, lgpAgentDeviceIndex=lgpAgentDeviceIndex, lgpAgentDeviceServicePhoneNumber=lgpAgentDeviceServicePhoneNumber, lgpAgentDeviceServiceContact=lgpAgentDeviceServiceContact, lgpAgentIdentManufacturer=lgpAgentIdentManufacturer, lgpAgentManagedDeviceEntry=lgpAgentManagedDeviceEntry, lgpAgentDeviceManufacturer=lgpAgentDeviceManufacturer, lgpAgentHeartbeat=lgpAgentHeartbeat, lgpAgentTelnetEnabled=lgpAgentTelnetEnabled, lgpAgentDeviceManufactureDate=lgpAgentDeviceManufactureDate, lgpAgentDeviceServiceAddrLine4=lgpAgentDeviceServiceAddrLine4, lgpAgentDeviceServiceAddrLine1=lgpAgentDeviceServiceAddrLine1, lgpAgentDeviceOrderLine2=lgpAgentDeviceOrderLine2, lgpAgentIdentFirmwareVersion=lgpAgentIdentFirmwareVersion, lgpAgentDeviceOrderLine1=lgpAgentDeviceOrderLine1, lgpAgentDeviceId=lgpAgentDeviceId, lgpAgentDeviceCommunicationLost=lgpAgentDeviceCommunicationLost, lgpAgentDnsLookupFailure=lgpAgentDnsLookupFailure, lgpAgentManagedDeviceTable=lgpAgentManagedDeviceTable, lgpAgentDeviceSerialNumber=lgpAgentDeviceSerialNumber, lgpAgentIdentPartNumber=lgpAgentIdentPartNumber, lgpAgentDeviceTagNumber=lgpAgentDeviceTagNumber, lgpAgentReboot=lgpAgentReboot) |
class ParsingError(Exception):
pass
class UnexpectedToken(ParsingError):
def __init__(self, index):
super().__init__()
self.index = index
| class Parsingerror(Exception):
pass
class Unexpectedtoken(ParsingError):
def __init__(self, index):
super().__init__()
self.index = index |
the_list = [1,2,3,4,5,6,7,8,9,10]
def filter_evens(li):
even_numbers = [items for items in the_list if items % 2 ==0]
print(even_numbers)
filter_evens(the_list) | the_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
def filter_evens(li):
even_numbers = [items for items in the_list if items % 2 == 0]
print(even_numbers)
filter_evens(the_list) |
# dictionaries
fruit = {
"orange": "a sweet, orange, citrus frtui",
"apple": "good for making cider",
"lemon": "a sour, yellow citrus fruit",
"grape": "a small, sweet fruit growing in bunches",
"lime": " a sour, green citruis fruit"
}
# print(fruit)
# print(fruit["lemon"])
fruit["pear"] = "an odd shaped apple"
# print(fruit)
fruit["lime"] = "great with tequila"
# print(fruit)
# del fruit["lemon"]
# fruit.clear()
# print(fruit)
# print(fruit["tomato"])
# print(fruit)
while True:
dict_key = input("Please enter a fruit: ")
if dict_key == "quit":
break
if dict_key in fruit:
description = fruit.get(dict_key)
print(description)
else:
print("we don't have a " + dict_key)
#motorbike example
# bike = {"make": "Honda", "model": "250 dream", "colour": "red", "engine_size": 250}
# print(bike["engine_size"])
# print(bike["colour"])
| fruit = {'orange': 'a sweet, orange, citrus frtui', 'apple': 'good for making cider', 'lemon': 'a sour, yellow citrus fruit', 'grape': 'a small, sweet fruit growing in bunches', 'lime': ' a sour, green citruis fruit'}
fruit['pear'] = 'an odd shaped apple'
fruit['lime'] = 'great with tequila'
while True:
dict_key = input('Please enter a fruit: ')
if dict_key == 'quit':
break
if dict_key in fruit:
description = fruit.get(dict_key)
print(description)
else:
print("we don't have a " + dict_key) |
class Solution:
def containsNearbyAlmostDuplicate(self, nums: List[int], k: int, t: int) -> bool:
n = len(nums)
l = []
for i, j in enumerate(nums):
l.append((j, i))
l.sort(key = lambda x: x[0])
#print(l)
i = 0
j = 1
while j < n:
if abs(l[j][0] - l[i][0]) <= t and abs(l[j][1] - l[i][1]) <= k:
return True
if abs(l[j][0] - l[i][0]) > t:
i += 1
j = i + 1
elif abs(l[j][0] - l[i][0]) <= t and abs(l[j][1] - l[i][1]) > k:
j += 1
return False
| class Solution:
def contains_nearby_almost_duplicate(self, nums: List[int], k: int, t: int) -> bool:
n = len(nums)
l = []
for (i, j) in enumerate(nums):
l.append((j, i))
l.sort(key=lambda x: x[0])
i = 0
j = 1
while j < n:
if abs(l[j][0] - l[i][0]) <= t and abs(l[j][1] - l[i][1]) <= k:
return True
if abs(l[j][0] - l[i][0]) > t:
i += 1
j = i + 1
elif abs(l[j][0] - l[i][0]) <= t and abs(l[j][1] - l[i][1]) > k:
j += 1
return False |
exp_token = "dns"
exp_dir = "./exp_diversity_noise"
q_ratio = "0.2"
test_ratio = "0.5"
maj_ratio = 0.755558
prepare_data = False
submit = True
split_size = 1000
n_test = 100
n_test_maj = 100 * maj_ratio
n_test_min = 100 - n_test_maj
k_maj = 5 * maj_ratio
k_min = 5. - k_maj
alpha = "0.1"
n_runs = 100
n_runs_test = 1000
n_train = 10000
n_train_min = int(n_train * (1 - maj_ratio))
n_trains_min = [n_train_min]
noise_ratio_maj = "0"
noise_ratios_min = ["0", "0.2", "0.4", "0.6", "0.8", "1.0"]
noise_ratios_min_label = noise_ratios_min
n_cal = 10000
n_cal_maj = int(n_cal * maj_ratio)
n_cal_min = n_cal - n_cal_maj
n_cals_min = [n_cal_min]
runs = list(range(n_runs))
classifier_type = "LR"
lbd = "1e-6"
lbds = ["1e-6"]
umb_num_bins = [1, 2, 3, 4, 5]
umb_colors = {1: "tab:orange", 2: "tab:brown", 3: "tab:pink", 4: "tab:gray", 5: "tab:olive"}
umb_markers = {1: 4, 2: 5, 3: 6, 4: 7, 5: 8}
| exp_token = 'dns'
exp_dir = './exp_diversity_noise'
q_ratio = '0.2'
test_ratio = '0.5'
maj_ratio = 0.755558
prepare_data = False
submit = True
split_size = 1000
n_test = 100
n_test_maj = 100 * maj_ratio
n_test_min = 100 - n_test_maj
k_maj = 5 * maj_ratio
k_min = 5.0 - k_maj
alpha = '0.1'
n_runs = 100
n_runs_test = 1000
n_train = 10000
n_train_min = int(n_train * (1 - maj_ratio))
n_trains_min = [n_train_min]
noise_ratio_maj = '0'
noise_ratios_min = ['0', '0.2', '0.4', '0.6', '0.8', '1.0']
noise_ratios_min_label = noise_ratios_min
n_cal = 10000
n_cal_maj = int(n_cal * maj_ratio)
n_cal_min = n_cal - n_cal_maj
n_cals_min = [n_cal_min]
runs = list(range(n_runs))
classifier_type = 'LR'
lbd = '1e-6'
lbds = ['1e-6']
umb_num_bins = [1, 2, 3, 4, 5]
umb_colors = {1: 'tab:orange', 2: 'tab:brown', 3: 'tab:pink', 4: 'tab:gray', 5: 'tab:olive'}
umb_markers = {1: 4, 2: 5, 3: 6, 4: 7, 5: 8} |
class ConsensusModule(torch.nn.Module):
"""docstring for ConsensusModule"""
def __init__(self, consensus_type, dim = 1):
super(ConsensusModule, self).__init__()
self.consensus_type = consensus_type if consensus_type != 'rnn' else 'identity'
self.dim = dim
| class Consensusmodule(torch.nn.Module):
"""docstring for ConsensusModule"""
def __init__(self, consensus_type, dim=1):
super(ConsensusModule, self).__init__()
self.consensus_type = consensus_type if consensus_type != 'rnn' else 'identity'
self.dim = dim |
n = int(input())
for i in range(n):
alg = str(input())
e = str(input()).split()
r = int(e[0])
g = int(e[1])
b = int(e[2])
if alg == 'eye' : p = int(0.3 * r + 0.59 * g + 0.11 * b)
elif alg == 'mean': p = int((r + g + b) / 3)
elif alg == 'max' : p = sorted([r, g, b])[2]
elif alg == 'min' : p = sorted([r, g, b])[0]
print('Caso #{}: {}'.format(i + 1, p))
| n = int(input())
for i in range(n):
alg = str(input())
e = str(input()).split()
r = int(e[0])
g = int(e[1])
b = int(e[2])
if alg == 'eye':
p = int(0.3 * r + 0.59 * g + 0.11 * b)
elif alg == 'mean':
p = int((r + g + b) / 3)
elif alg == 'max':
p = sorted([r, g, b])[2]
elif alg == 'min':
p = sorted([r, g, b])[0]
print('Caso #{}: {}'.format(i + 1, p)) |
class Pizza:
def __init__(self, ingredients):
self.ingredients = ingredients
def __repr__(self):
return f"Pizza({self.ingredients!r})"
print(Pizza(["cheese", "tomatoes"]))
| class Pizza:
def __init__(self, ingredients):
self.ingredients = ingredients
def __repr__(self):
return f'Pizza({self.ingredients!r})'
print(pizza(['cheese', 'tomatoes'])) |
class GridViewColumn(DependencyObject, INotifyPropertyChanged):
"""
Represents a column that displays data.
GridViewColumn()
"""
def OnHeaderStringFormatChanged(self, *args):
"""
OnHeaderStringFormatChanged(self: GridViewColumn,oldHeaderStringFormat: str,newHeaderStringFormat: str)
Occurs when the System.Windows.Controls.GridViewColumn.HeaderStringFormat property changes.
oldHeaderStringFormat: The old value of the System.Windows.Controls.GridViewColumn.HeaderStringFormat property.
newHeaderStringFormat: The new value of the System.Windows.Controls.GridViewColumn.HeaderStringFormat property.
"""
pass
def OnPropertyChanged(self, *args):
"""
OnPropertyChanged(self: GridViewColumn,e: PropertyChangedEventArgs)
Raises the
System.Windows.Controls.GridViewColumn.System#ComponentModel#INotifyPropertyChanged#PropertyChang
ed event.
e: The event data.
OnPropertyChanged(self: DependencyObject,e: DependencyPropertyChangedEventArgs)
Invoked whenever the effective value of any dependency property on this
System.Windows.DependencyObject has been updated. The specific dependency property that changed
is reported in the event data.
e: Event data that will contain the dependency property identifier of interest,the property
metadata for the type,and old and new values.
"""
pass
def ShouldSerializeProperty(self, *args):
"""
ShouldSerializeProperty(self: DependencyObject,dp: DependencyProperty) -> bool
Returns a value that indicates whether serialization processes should serialize the value for
the provided dependency property.
dp: The identifier for the dependency property that should be serialized.
Returns: true if the dependency property that is supplied should be value-serialized; otherwise,false.
"""
pass
def ToString(self):
"""
ToString(self: GridViewColumn) -> str
Creates a string representation of the System.Windows.Controls.GridViewColumn.
Returns: A string that identifies the object as a System.Windows.Controls.GridViewColumn object and
displays the value of the System.Windows.Controls.GridViewColumn.Header property.
"""
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __str__(self, *args):
pass
ActualWidth = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets the actual width of a System.Windows.Controls.GridViewColumn.
Get: ActualWidth(self: GridViewColumn) -> float
"""
CellTemplate = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets the template to use to display the contents of a column cell.
Get: CellTemplate(self: GridViewColumn) -> DataTemplate
Set: CellTemplate(self: GridViewColumn)=value
"""
CellTemplateSelector = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets a System.Windows.Controls.DataTemplateSelector that determines the template to use to display cells in a column.
Get: CellTemplateSelector(self: GridViewColumn) -> DataTemplateSelector
Set: CellTemplateSelector(self: GridViewColumn)=value
"""
DisplayMemberBinding = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets the data item to bind to for this column.
Get: DisplayMemberBinding(self: GridViewColumn) -> BindingBase
Set: DisplayMemberBinding(self: GridViewColumn)=value
"""
Header = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Gets or sets the content of the header of a System.Windows.Controls.GridViewColumn.
Get: Header(self: GridViewColumn) -> object
Set: Header(self: GridViewColumn)=value
"""
HeaderContainerStyle = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets the style to use for the header of the System.Windows.Controls.GridViewColumn.
Get: HeaderContainerStyle(self: GridViewColumn) -> Style
Set: HeaderContainerStyle(self: GridViewColumn)=value
"""
HeaderStringFormat = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets a composite string that specifies how to format the System.Windows.Controls.GridViewColumn.Header property if it is displayed as a string.
Get: HeaderStringFormat(self: GridViewColumn) -> str
Set: HeaderStringFormat(self: GridViewColumn)=value
"""
HeaderTemplate = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets the template to use to display the content of the column header.
Get: HeaderTemplate(self: GridViewColumn) -> DataTemplate
Set: HeaderTemplate(self: GridViewColumn)=value
"""
HeaderTemplateSelector = property(
lambda self: object(), lambda self, v: None, lambda self: None
)
"""Gets or sets the System.Windows.Controls.DataTemplateSelector that provides logic to select the template to use to display the column header.
Get: HeaderTemplateSelector(self: GridViewColumn) -> DataTemplateSelector
Set: HeaderTemplateSelector(self: GridViewColumn)=value
"""
Width = property(lambda self: object(), lambda self, v: None, lambda self: None)
"""Gets or sets the width of the column.
Get: Width(self: GridViewColumn) -> float
Set: Width(self: GridViewColumn)=value
"""
CellTemplateProperty = None
CellTemplateSelectorProperty = None
HeaderContainerStyleProperty = None
HeaderProperty = None
HeaderStringFormatProperty = None
HeaderTemplateProperty = None
HeaderTemplateSelectorProperty = None
WidthProperty = None
| class Gridviewcolumn(DependencyObject, INotifyPropertyChanged):
"""
Represents a column that displays data.
GridViewColumn()
"""
def on_header_string_format_changed(self, *args):
"""
OnHeaderStringFormatChanged(self: GridViewColumn,oldHeaderStringFormat: str,newHeaderStringFormat: str)
Occurs when the System.Windows.Controls.GridViewColumn.HeaderStringFormat property changes.
oldHeaderStringFormat: The old value of the System.Windows.Controls.GridViewColumn.HeaderStringFormat property.
newHeaderStringFormat: The new value of the System.Windows.Controls.GridViewColumn.HeaderStringFormat property.
"""
pass
def on_property_changed(self, *args):
"""
OnPropertyChanged(self: GridViewColumn,e: PropertyChangedEventArgs)
Raises the
System.Windows.Controls.GridViewColumn.System#ComponentModel#INotifyPropertyChanged#PropertyChang
ed event.
e: The event data.
OnPropertyChanged(self: DependencyObject,e: DependencyPropertyChangedEventArgs)
Invoked whenever the effective value of any dependency property on this
System.Windows.DependencyObject has been updated. The specific dependency property that changed
is reported in the event data.
e: Event data that will contain the dependency property identifier of interest,the property
metadata for the type,and old and new values.
"""
pass
def should_serialize_property(self, *args):
"""
ShouldSerializeProperty(self: DependencyObject,dp: DependencyProperty) -> bool
Returns a value that indicates whether serialization processes should serialize the value for
the provided dependency property.
dp: The identifier for the dependency property that should be serialized.
Returns: true if the dependency property that is supplied should be value-serialized; otherwise,false.
"""
pass
def to_string(self):
"""
ToString(self: GridViewColumn) -> str
Creates a string representation of the System.Windows.Controls.GridViewColumn.
Returns: A string that identifies the object as a System.Windows.Controls.GridViewColumn object and
displays the value of the System.Windows.Controls.GridViewColumn.Header property.
"""
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __str__(self, *args):
pass
actual_width = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets the actual width of a System.Windows.Controls.GridViewColumn.\n\n\n\nGet: ActualWidth(self: GridViewColumn) -> float\n\n\n\n'
cell_template = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the template to use to display the contents of a column cell.\n\n\n\nGet: CellTemplate(self: GridViewColumn) -> DataTemplate\n\n\n\nSet: CellTemplate(self: GridViewColumn)=value\n\n'
cell_template_selector = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets a System.Windows.Controls.DataTemplateSelector that determines the template to use to display cells in a column.\n\n\n\nGet: CellTemplateSelector(self: GridViewColumn) -> DataTemplateSelector\n\n\n\nSet: CellTemplateSelector(self: GridViewColumn)=value\n\n'
display_member_binding = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the data item to bind to for this column.\n\n\n\nGet: DisplayMemberBinding(self: GridViewColumn) -> BindingBase\n\n\n\nSet: DisplayMemberBinding(self: GridViewColumn)=value\n\n'
header = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the content of the header of a System.Windows.Controls.GridViewColumn.\n\n\n\nGet: Header(self: GridViewColumn) -> object\n\n\n\nSet: Header(self: GridViewColumn)=value\n\n'
header_container_style = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the style to use for the header of the System.Windows.Controls.GridViewColumn.\n\n\n\nGet: HeaderContainerStyle(self: GridViewColumn) -> Style\n\n\n\nSet: HeaderContainerStyle(self: GridViewColumn)=value\n\n'
header_string_format = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets a composite string that specifies how to format the System.Windows.Controls.GridViewColumn.Header property if it is displayed as a string.\n\n\n\nGet: HeaderStringFormat(self: GridViewColumn) -> str\n\n\n\nSet: HeaderStringFormat(self: GridViewColumn)=value\n\n'
header_template = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the template to use to display the content of the column header.\n\n\n\nGet: HeaderTemplate(self: GridViewColumn) -> DataTemplate\n\n\n\nSet: HeaderTemplate(self: GridViewColumn)=value\n\n'
header_template_selector = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the System.Windows.Controls.DataTemplateSelector that provides logic to select the template to use to display the column header.\n\n\n\nGet: HeaderTemplateSelector(self: GridViewColumn) -> DataTemplateSelector\n\n\n\nSet: HeaderTemplateSelector(self: GridViewColumn)=value\n\n'
width = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Gets or sets the width of the column.\n\n\n\nGet: Width(self: GridViewColumn) -> float\n\n\n\nSet: Width(self: GridViewColumn)=value\n\n'
cell_template_property = None
cell_template_selector_property = None
header_container_style_property = None
header_property = None
header_string_format_property = None
header_template_property = None
header_template_selector_property = None
width_property = None |
#setting
RPPpath = r"D:\document\python projects\Autolipsync\scripttest2.rpp"
TEMPLATEPath = r"D:\document\python projects\Autolipsync\template.exo"
LIPPath = r"D:\document\python projects\Autolipsync\*.avi"
ExportPath = "RPPtoEXO(Lyric).exo"
FPS = 60
| rp_ppath = 'D:\\document\\python projects\\Autolipsync\\scripttest2.rpp'
template_path = 'D:\\document\\python projects\\Autolipsync\\template.exo'
lip_path = 'D:\\document\\python projects\\Autolipsync\\*.avi'
export_path = 'RPPtoEXO(Lyric).exo'
fps = 60 |
# %%
def isprime(n):
if n == 1:
return False
i = 2
while i*i <= n:
if n % i == 0:
return False
i += 1
return True
def solution(n, k):
enc = []
while n != 0:
enc.append(n % k)
n = n // k
curr = enc[-1]
answer = 0
for v in enc[-2::-1]:
if v == 0:
if curr != 0:
if isprime(curr):
answer += 1
curr = 0
else:
curr = curr * 10 + v
if enc[0] != 0:
if curr != 0:
if isprime(curr):
answer += 1
curr = 0
#
return answer
print(solution(437674, 3))
# print(solution(1000000, 3))
# print(solution(11001100, 10))
# print(print(isprime(211)))
# print(solution(110011, 10))
| def isprime(n):
if n == 1:
return False
i = 2
while i * i <= n:
if n % i == 0:
return False
i += 1
return True
def solution(n, k):
enc = []
while n != 0:
enc.append(n % k)
n = n // k
curr = enc[-1]
answer = 0
for v in enc[-2::-1]:
if v == 0:
if curr != 0:
if isprime(curr):
answer += 1
curr = 0
else:
curr = curr * 10 + v
if enc[0] != 0:
if curr != 0:
if isprime(curr):
answer += 1
curr = 0
return answer
print(solution(437674, 3)) |
# parsetab.py
# This file is automatically generated. Do not edit.
_tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftANDleftGLOBALUNTILleftNEGleftLPARENRPARENATOMICLBRACKRBRACKNUMBER COMMA LPAREN RPAREN LBRACK RBRACK AND NEG ATOMIC GLOBAL UNTIL\n\texpression \t: expression AND expression\n\t\t\t\t| NEG expression\n\t\t\t\t| GLOBAL LBRACK NUMBER RBRACK expression\n\t\t\t\t| GLOBAL LBRACK NUMBER COMMA NUMBER RBRACK expression\n\t\t\t\t| expression UNTIL LBRACK NUMBER RBRACK expression\n\t\t\t\t| expression UNTIL LBRACK NUMBER COMMA NUMBER RBRACK expression\t\t\t\t\n\texpression : LPAREN expression RPARENexpression : ATOMIC'
_lr_action_items = {'NEG':([0,2,4,6,16,18,24,25,],[2,2,2,2,2,2,2,2,]),'GLOBAL':([0,2,4,6,16,18,24,25,],[3,3,3,3,3,3,3,3,]),'LPAREN':([0,2,4,6,16,18,24,25,],[4,4,4,4,4,4,4,4,]),'ATOMIC':([0,2,4,6,16,18,24,25,],[5,5,5,5,5,5,5,5,]),'$end':([1,5,8,11,14,20,22,26,27,],[0,-8,-2,-1,-7,-3,-5,-4,-6,]),'AND':([1,5,8,10,11,14,20,22,26,27,],[6,-8,-2,6,-1,-7,-3,-5,-4,-6,]),'UNTIL':([1,5,8,10,11,14,20,22,26,27,],[7,-8,-2,7,7,-7,-3,-5,-4,-6,]),'LBRACK':([3,7,],[9,12,]),'RPAREN':([5,8,10,11,14,20,22,26,27,],[-8,-2,14,-1,-7,-3,-5,-4,-6,]),'NUMBER':([9,12,17,19,],[13,15,21,23,]),'RBRACK':([13,15,21,23,],[16,18,24,25,]),'COMMA':([13,15,],[17,19,]),}
_lr_action = {}
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'expression':([0,2,4,6,16,18,24,25,],[1,8,10,11,20,22,26,27,]),}
_lr_goto = {}
for _k, _v in _lr_goto_items.items():
for _x, _y in zip(_v[0], _v[1]):
if not _x in _lr_goto: _lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> expression","S'",1,None,None,None),
('expression -> expression AND expression','expression',3,'p_TL_operators','TLparse.py',25),
('expression -> NEG expression','expression',2,'p_TL_operators','TLparse.py',26),
('expression -> GLOBAL LBRACK NUMBER RBRACK expression','expression',5,'p_TL_operators','TLparse.py',27),
('expression -> GLOBAL LBRACK NUMBER COMMA NUMBER RBRACK expression','expression',7,'p_TL_operators','TLparse.py',28),
('expression -> expression UNTIL LBRACK NUMBER RBRACK expression','expression',6,'p_TL_operators','TLparse.py',29),
('expression -> expression UNTIL LBRACK NUMBER COMMA NUMBER RBRACK expression','expression',8,'p_TL_operators','TLparse.py',30),
('expression -> LPAREN expression RPAREN','expression',3,'p_paren_token','TLparse.py',50),
('expression -> ATOMIC','expression',1,'p_atomic_token','TLparse.py',54),
]
| _tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftANDleftGLOBALUNTILleftNEGleftLPARENRPARENATOMICLBRACKRBRACKNUMBER COMMA LPAREN RPAREN LBRACK RBRACK AND NEG ATOMIC GLOBAL UNTIL\n\texpression \t: expression AND expression\n\t\t\t\t| NEG expression\n\t\t\t\t| GLOBAL LBRACK NUMBER RBRACK expression\n\t\t\t\t| GLOBAL LBRACK NUMBER COMMA NUMBER RBRACK expression\n\t\t\t\t| expression UNTIL LBRACK NUMBER RBRACK expression\n\t\t\t\t| expression UNTIL LBRACK NUMBER COMMA NUMBER RBRACK expression\t\t\t\t\n\texpression : LPAREN expression RPARENexpression : ATOMIC'
_lr_action_items = {'NEG': ([0, 2, 4, 6, 16, 18, 24, 25], [2, 2, 2, 2, 2, 2, 2, 2]), 'GLOBAL': ([0, 2, 4, 6, 16, 18, 24, 25], [3, 3, 3, 3, 3, 3, 3, 3]), 'LPAREN': ([0, 2, 4, 6, 16, 18, 24, 25], [4, 4, 4, 4, 4, 4, 4, 4]), 'ATOMIC': ([0, 2, 4, 6, 16, 18, 24, 25], [5, 5, 5, 5, 5, 5, 5, 5]), '$end': ([1, 5, 8, 11, 14, 20, 22, 26, 27], [0, -8, -2, -1, -7, -3, -5, -4, -6]), 'AND': ([1, 5, 8, 10, 11, 14, 20, 22, 26, 27], [6, -8, -2, 6, -1, -7, -3, -5, -4, -6]), 'UNTIL': ([1, 5, 8, 10, 11, 14, 20, 22, 26, 27], [7, -8, -2, 7, 7, -7, -3, -5, -4, -6]), 'LBRACK': ([3, 7], [9, 12]), 'RPAREN': ([5, 8, 10, 11, 14, 20, 22, 26, 27], [-8, -2, 14, -1, -7, -3, -5, -4, -6]), 'NUMBER': ([9, 12, 17, 19], [13, 15, 21, 23]), 'RBRACK': ([13, 15, 21, 23], [16, 18, 24, 25]), 'COMMA': ([13, 15], [17, 19])}
_lr_action = {}
for (_k, _v) in _lr_action_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
if not _x in _lr_action:
_lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'expression': ([0, 2, 4, 6, 16, 18, 24, 25], [1, 8, 10, 11, 20, 22, 26, 27])}
_lr_goto = {}
for (_k, _v) in _lr_goto_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
if not _x in _lr_goto:
_lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [("S' -> expression", "S'", 1, None, None, None), ('expression -> expression AND expression', 'expression', 3, 'p_TL_operators', 'TLparse.py', 25), ('expression -> NEG expression', 'expression', 2, 'p_TL_operators', 'TLparse.py', 26), ('expression -> GLOBAL LBRACK NUMBER RBRACK expression', 'expression', 5, 'p_TL_operators', 'TLparse.py', 27), ('expression -> GLOBAL LBRACK NUMBER COMMA NUMBER RBRACK expression', 'expression', 7, 'p_TL_operators', 'TLparse.py', 28), ('expression -> expression UNTIL LBRACK NUMBER RBRACK expression', 'expression', 6, 'p_TL_operators', 'TLparse.py', 29), ('expression -> expression UNTIL LBRACK NUMBER COMMA NUMBER RBRACK expression', 'expression', 8, 'p_TL_operators', 'TLparse.py', 30), ('expression -> LPAREN expression RPAREN', 'expression', 3, 'p_paren_token', 'TLparse.py', 50), ('expression -> ATOMIC', 'expression', 1, 'p_atomic_token', 'TLparse.py', 54)] |
"""
Sort a linked list in O(n log n) time using constant space complexity.
Example 1:
Input: 4->2->1->3
Output: 1->2->3->4
Example 2:
Input: -1->5->3->4->0
Output: -1->0->3->4->5
"""
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def sortList(self, head: ListNode) -> ListNode:
def sort_list(head):
if head is None:
return head
elif head.next is None:
return head
elif head.next.next is None:
if head.val > head.next.val:
tmp = head.next
head.next.next = head
head.next = None
head = tmp
return head
slow, fast = head, head
while fast is not None:
fast = fast.next
if fast is None:
break
fast = fast.next
if fast is None:
break
slow = slow.next
tmp = slow.next
slow.next = None
c1 = sort_list(head)
c2 = sort_list(tmp)
curr = None
head = None
while c1 is not None or c2 is not None:
if c1 is None:
if curr is not None:
curr.next = c2
curr = c2
c2 = c2.next
elif c2 is None:
if curr is not None:
curr.next = c1
curr = c1
c1 = c1.next
else:
if c1.val > c2.val:
if curr is not None:
curr.next = c2
curr = c2
c2 = c2.next
else:
if curr is not None:
curr.next = c1
curr = c1
c1 = c1.next
if head is None:
head = curr
return head
return sort_list(head)
| """
Sort a linked list in O(n log n) time using constant space complexity.
Example 1:
Input: 4->2->1->3
Output: 1->2->3->4
Example 2:
Input: -1->5->3->4->0
Output: -1->0->3->4->5
"""
class Solution:
def sort_list(self, head: ListNode) -> ListNode:
def sort_list(head):
if head is None:
return head
elif head.next is None:
return head
elif head.next.next is None:
if head.val > head.next.val:
tmp = head.next
head.next.next = head
head.next = None
head = tmp
return head
(slow, fast) = (head, head)
while fast is not None:
fast = fast.next
if fast is None:
break
fast = fast.next
if fast is None:
break
slow = slow.next
tmp = slow.next
slow.next = None
c1 = sort_list(head)
c2 = sort_list(tmp)
curr = None
head = None
while c1 is not None or c2 is not None:
if c1 is None:
if curr is not None:
curr.next = c2
curr = c2
c2 = c2.next
elif c2 is None:
if curr is not None:
curr.next = c1
curr = c1
c1 = c1.next
elif c1.val > c2.val:
if curr is not None:
curr.next = c2
curr = c2
c2 = c2.next
else:
if curr is not None:
curr.next = c1
curr = c1
c1 = c1.next
if head is None:
head = curr
return head
return sort_list(head) |
''' Polynomials are given as a list i.e.
2x^3 - 6x^2 + 2x - 1 = [2, -6, 2, -1]
'''
def polynomial():
coefficients = []
n = int(input("Enter number of coefficients: \n"))
print("Enter coefficients: \n")
for i in range(0, n):
element = int(input())
coefficients.append(element)
x = float(input("Value to evaluate for: \n"))
return horner_algorithm(coefficients, n, x)
def horner_algorithm(poly, n, x):
result = poly[0]
''' Algorithm handles a polynomial like a sequence of form:
poly[1]x(n-2) + .. + poly[n-1]
'''
for i in range(1, n):
result = result*x + poly[i]
return result
def main():
result = polynomial()
print("Evaluated to: ", result)
main() | """ Polynomials are given as a list i.e.
2x^3 - 6x^2 + 2x - 1 = [2, -6, 2, -1]
"""
def polynomial():
coefficients = []
n = int(input('Enter number of coefficients: \n'))
print('Enter coefficients: \n')
for i in range(0, n):
element = int(input())
coefficients.append(element)
x = float(input('Value to evaluate for: \n'))
return horner_algorithm(coefficients, n, x)
def horner_algorithm(poly, n, x):
result = poly[0]
'\tAlgorithm handles a polynomial like a sequence of form:\n\t\t\t\t\tpoly[1]x(n-2) + .. + poly[n-1]\n\t'
for i in range(1, n):
result = result * x + poly[i]
return result
def main():
result = polynomial()
print('Evaluated to: ', result)
main() |
"""
Propagate the generated Swift header from a swift_library target
This exists to work around https://github.com/bazelbuild/rules_swift/issues/291
"""
def _swift_header_collector(ctx):
headers = [
DefaultInfo(
files = ctx.attr.library[CcInfo].compilation_context.headers,
),
]
if len(headers[0].files.to_list()) != 1:
header_names = [header.basename for header in headers[0].files.to_list()]
fail("Expected exactly 1 '-Swift.h' header, got {}".format(header_names))
return headers
swift_header_collector = rule(
attrs = dict(
library = attr.label(
mandatory = True,
providers = [CcInfo],
),
),
implementation = _swift_header_collector,
)
| """
Propagate the generated Swift header from a swift_library target
This exists to work around https://github.com/bazelbuild/rules_swift/issues/291
"""
def _swift_header_collector(ctx):
headers = [default_info(files=ctx.attr.library[CcInfo].compilation_context.headers)]
if len(headers[0].files.to_list()) != 1:
header_names = [header.basename for header in headers[0].files.to_list()]
fail("Expected exactly 1 '-Swift.h' header, got {}".format(header_names))
return headers
swift_header_collector = rule(attrs=dict(library=attr.label(mandatory=True, providers=[CcInfo])), implementation=_swift_header_collector) |
class Router(object):
def db_for_read(self, model, **hints):
return 'read'
def db_for_write(self, model, **hints):
return 'default'
| class Router(object):
def db_for_read(self, model, **hints):
return 'read'
def db_for_write(self, model, **hints):
return 'default' |
state_data = [{'id': 'AL',
'name': 'Alabama',
'code': 'AL',
'electoral_votes': 9,
'campaign_cost': 18,
'popular_vote': 2.1,
'groups': ['AA', 'OS']},
{'id': 'AK',
'name': 'Alaska',
'code': 'AK',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.3,
'groups': ['OG']},
{'id': 'AZ', 'name': 'Arizona',
'code': 'AZ',
'electoral_votes': 11,
'campaign_cost': 24,
'popular_vote': 2.6,
'groups': ['AA', 'L', 'SS', 'TG']},
{'id': 'AR', 'name': 'Arkansas',
'code': 'AR',
'electoral_votes': 6,
'campaign_cost': 15,
'popular_vote': 1.1,
'groups': ['OS']},
{'id': 'CA', 'name': 'California',
'code': 'CA',
'electoral_votes': 55,
'campaign_cost': 200,
'popular_vote': 14,
'groups': ['L', 'OG', 'HT', 'A', 'ED']},
{'id': 'CO',
'name': 'Colorado',
'code': 'CO',
'electoral_votes': 9,
'campaign_cost': 18,
'popular_vote': 2.8,
'groups': ['L', 'OG', 'SS']},
{'id': 'CT',
'name': 'Connecticut',
'code': 'CT',
'electoral_votes': 7,
'campaign_cost': 15,
'popular_vote': 1.6,
'groups': ['HT']},
{'id': 'DC', 'name': 'District of Columbia',
'code': 'DC',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.3,
'groups': ['AA', 'TG']},
{'id': 'DE', 'name': 'Delaware',
'code': 'DE',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.4,
'groups': ['AA', 'HT']},
{'id': 'FL', 'name': 'Florida',
'code': 'FL',
'electoral_votes': 29,
'campaign_cost': 100,
'popular_vote': 9.4,
'groups': ['AA', 'L', 'A', 'ED', 'SS']},
{'id': 'GA', 'name': 'Georgia',
'code': 'GA',
'electoral_votes': 16,
'campaign_cost': 37.5,
'popular_vote': 4.1,
'groups': ['AA', 'OS']},
{'id': 'HI', 'name': 'Hawaii',
'code': 'HI',
'electoral_votes': 4,
'campaign_cost': 12.5,
'popular_vote': 0.4,
'groups': ['A']},
{'id': 'ID', 'name': 'Idaho',
'code': 'ID',
'electoral_votes': 4,
'campaign_cost': 12.5,
'popular_vote': 0.7,
'groups': []},
{'id': 'IL', 'name': 'Illinois',
'code': 'IL',
'electoral_votes': 20,
'campaign_cost': 50,
'popular_vote': 5.5,
'groups': ['AA', 'L', 'A', 'MB', 'ED']},
{'id': 'IN', 'name': 'Indiana',
'code': 'IN',
'electoral_votes': 11,
'campaign_cost': 25,
'popular_vote': 2.7,
'groups': ['MB']},
{'id': 'IA', 'name': 'Iowa',
'code': 'IA',
'electoral_votes': 6,
'campaign_cost': 20,
'popular_vote': 1.6,
'groups': ['A', 'SS', 'TG']},
{'id': 'KS', 'name': 'Kansas',
'code': 'KS',
'electoral_votes': 6,
'campaign_cost': 20,
'popular_vote': 1.2,
'groups': ['A']},
{'id': 'KY', 'name': 'Kentucky',
'code': 'KY',
'electoral_votes': 8,
'campaign_cost': 25,
'popular_vote': 1.2,
'groups': []},
{'id': 'LA', 'name': 'Louisiana',
'code': 'LA',
'electoral_votes': 8,
'campaign_cost': 25,
'popular_vote': 2,
'groups': ['AA', 'OG', 'OS', 'ED']},
{'id': 'ME', 'name': 'Maine',
'code': 'ME',
'electoral_votes': 4,
'campaign_cost': 12.5,
'popular_vote': 0.7,
'groups': ['TG']},
{'id': 'MD', 'name': 'Maryland',
'code': 'MD',
'electoral_votes': 10,
'campaign_cost': 35,
'popular_vote': 2.8,
'groups': ['AA', 'HT', 'OS']},
{'id': 'MA', 'name': 'Massachusetts',
'code': 'MA',
'electoral_votes': 11,
'campaign_cost': 37.5,
'popular_vote': 3.3,
'groups': ['HT', 'TG']},
{'id': 'MI', 'name': 'Michigan',
'code': 'MI',
'electoral_votes': 16,
'campaign_cost': 45,
'popular_vote': 4.8,
'groups': ['AA', 'HT', 'MB', 'ED']},
{'id': 'MN', 'name': 'Minnesota',
'code': 'MN',
'electoral_votes': 10,
'campaign_cost': 35,
'popular_vote': 2.9,
'groups': ['A', 'TG']},
{'id': 'MS', 'name': 'Mississippi',
'code': 'MS',
'electoral_votes': 6,
'campaign_cost': 20,
'popular_vote': 1.2,
'groups': ['AA', 'OS']},
{'id': 'MO', 'name': 'Missouri',
'code': 'MO',
'electoral_votes': 10,
'campaign_cost': 35,
'popular_vote': 2.8,
'groups': ['TG']},
{'id': 'MT', 'name': 'Montana',
'code': 'MT',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.5,
'groups': []},
{'id': 'NE', 'name': 'Nebraska',
'code': 'NE',
'electoral_votes': 5,
'campaign_cost': 15,
'popular_vote': 0.8,
'groups': ['A', 'TG']},
{'id': 'NV', 'name': 'Nevada',
'code': 'NV',
'electoral_votes': 6,
'campaign_cost': 17.5,
'popular_vote': 1.1,
'groups': ['L']},
{'id': 'NH', 'name': 'New Hampshire',
'code': 'NH',
'electoral_votes': 4,
'campaign_cost': 12.5,
'popular_vote': 0.7,
'groups': ['HT', 'SS', 'TG']},
{'id': 'NJ', 'name': 'New Jersey',
'code': 'NJ',
'electoral_votes': 14,
'campaign_cost': 42.5,
'popular_vote': 3.9,
'groups': ['L']},
{'id': 'NM', 'name': 'New Mexico',
'code': 'NM',
'electoral_votes': 5,
'campaign_cost': 15,
'popular_vote': 0.8,
'groups': ['L', 'OS', 'SS']},
{'id': 'NY', 'name': 'New York',
'code': 'NY',
'electoral_votes': 29,
'campaign_cost': 150,
'popular_vote': 7.7,
'groups': ['AA', 'L', 'HT', 'ED', 'TG']},
{'id': 'NC', 'name': 'North Carolina',
'code': 'NC',
'electoral_votes': 15,
'campaign_cost': 42.5,
'popular_vote': 4.7,
'groups': ['AA', 'A', 'MB', 'OS', 'SS']},
{'id': 'ND', 'name': 'North Dakota',
'code': 'ND',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.3,
'groups': ['OG', 'TG']},
{'id': 'OH', 'name': 'Ohio',
'code': 'OH',
'electoral_votes': 18,
'campaign_cost': 50,
'popular_vote': 5.5,
'groups': ['MB', 'ED', 'SS']},
{'id': 'OK', 'name': 'Oklahoma',
'code': 'OK',
'electoral_votes': 7,
'campaign_cost': 20,
'popular_vote': 1.5,
'groups': ['OG']},
{'id': 'OR', 'name': 'Oregon',
'code': 'OR',
'electoral_votes': 7,
'campaign_cost': 22.5,
'popular_vote': 2,
'groups': ['ED']},
{'id': 'PA', 'name': 'Pennsylvania',
'code': 'PA',
'electoral_votes': 20,
'campaign_cost': 60,
'popular_vote': 6.1,
'groups': ['HT', 'MB', 'ED', 'SS']},
{'id': 'RI', 'name': 'Rhode Island',
'code': 'RI',
'electoral_votes': 4,
'campaign_cost': 12.5,
'popular_vote': 0.5,
'groups': ['TG']},
{'id': 'SC', 'name': 'South Carolina',
'code': 'SC',
'electoral_votes': 9,
'campaign_cost': 32.5,
'popular_vote': 2.1,
'groups': ['AA', 'OS']},
{'id': 'SD', 'name': 'South Dakota',
'code': 'SD',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.4,
'groups': ['OG']},
{'id': 'TN', 'name': 'Tennessee',
'code': 'TN',
'electoral_votes': 11,
'campaign_cost': 37.5,
'popular_vote': 2.5,
'groups': ['AA']},
{'id': 'TX', 'name': 'Texas',
'code': 'TX',
'electoral_votes': 38,
'campaign_cost': 200,
'popular_vote': 9,
'groups': ['L', 'OG', 'A', 'MB', 'ED']},
{'id': 'UT', 'name': 'Utah',
'code': 'UT',
'electoral_votes': 6,
'campaign_cost': 20,
'popular_vote': 1.1,
'groups': ['HT', 'TG']},
{'id': 'VT', 'name': 'Vermont',
'code': 'VT',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.3,
'groups': ['TG']},
{'id': 'VA', 'name': 'Virginia',
'code': 'VA',
'electoral_votes': 13,
'campaign_cost': 22.5,
'popular_vote': 4,
'groups': ['AA', 'HT', 'OS', 'SS']},
{'id': 'WA', 'name': 'Washington',
'code': 'WA',
'electoral_votes': 12,
'campaign_cost': 25,
'popular_vote': 3.2,
'groups': ['HT', 'ED']},
{'id': 'WV', 'name': 'West Virginia',
'code': 'WV',
'electoral_votes': 5,
'campaign_cost': 17.5,
'popular_vote': 0.7,
'groups': ['OG']},
{'id': 'WI', 'name': 'Wisconsin',
'code': 'WI',
'electoral_votes': 10,
'campaign_cost': 35,
'popular_vote': 3,
'groups': ['A', 'MB', 'SS']},
{'id': 'WY', 'name': 'Wyoming',
'code': 'WY',
'electoral_votes': 3,
'campaign_cost': 10,
'popular_vote': 0.3,
'groups': ['OG']}]
| state_data = [{'id': 'AL', 'name': 'Alabama', 'code': 'AL', 'electoral_votes': 9, 'campaign_cost': 18, 'popular_vote': 2.1, 'groups': ['AA', 'OS']}, {'id': 'AK', 'name': 'Alaska', 'code': 'AK', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.3, 'groups': ['OG']}, {'id': 'AZ', 'name': 'Arizona', 'code': 'AZ', 'electoral_votes': 11, 'campaign_cost': 24, 'popular_vote': 2.6, 'groups': ['AA', 'L', 'SS', 'TG']}, {'id': 'AR', 'name': 'Arkansas', 'code': 'AR', 'electoral_votes': 6, 'campaign_cost': 15, 'popular_vote': 1.1, 'groups': ['OS']}, {'id': 'CA', 'name': 'California', 'code': 'CA', 'electoral_votes': 55, 'campaign_cost': 200, 'popular_vote': 14, 'groups': ['L', 'OG', 'HT', 'A', 'ED']}, {'id': 'CO', 'name': 'Colorado', 'code': 'CO', 'electoral_votes': 9, 'campaign_cost': 18, 'popular_vote': 2.8, 'groups': ['L', 'OG', 'SS']}, {'id': 'CT', 'name': 'Connecticut', 'code': 'CT', 'electoral_votes': 7, 'campaign_cost': 15, 'popular_vote': 1.6, 'groups': ['HT']}, {'id': 'DC', 'name': 'District of Columbia', 'code': 'DC', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.3, 'groups': ['AA', 'TG']}, {'id': 'DE', 'name': 'Delaware', 'code': 'DE', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.4, 'groups': ['AA', 'HT']}, {'id': 'FL', 'name': 'Florida', 'code': 'FL', 'electoral_votes': 29, 'campaign_cost': 100, 'popular_vote': 9.4, 'groups': ['AA', 'L', 'A', 'ED', 'SS']}, {'id': 'GA', 'name': 'Georgia', 'code': 'GA', 'electoral_votes': 16, 'campaign_cost': 37.5, 'popular_vote': 4.1, 'groups': ['AA', 'OS']}, {'id': 'HI', 'name': 'Hawaii', 'code': 'HI', 'electoral_votes': 4, 'campaign_cost': 12.5, 'popular_vote': 0.4, 'groups': ['A']}, {'id': 'ID', 'name': 'Idaho', 'code': 'ID', 'electoral_votes': 4, 'campaign_cost': 12.5, 'popular_vote': 0.7, 'groups': []}, {'id': 'IL', 'name': 'Illinois', 'code': 'IL', 'electoral_votes': 20, 'campaign_cost': 50, 'popular_vote': 5.5, 'groups': ['AA', 'L', 'A', 'MB', 'ED']}, {'id': 'IN', 'name': 'Indiana', 'code': 'IN', 'electoral_votes': 11, 'campaign_cost': 25, 'popular_vote': 2.7, 'groups': ['MB']}, {'id': 'IA', 'name': 'Iowa', 'code': 'IA', 'electoral_votes': 6, 'campaign_cost': 20, 'popular_vote': 1.6, 'groups': ['A', 'SS', 'TG']}, {'id': 'KS', 'name': 'Kansas', 'code': 'KS', 'electoral_votes': 6, 'campaign_cost': 20, 'popular_vote': 1.2, 'groups': ['A']}, {'id': 'KY', 'name': 'Kentucky', 'code': 'KY', 'electoral_votes': 8, 'campaign_cost': 25, 'popular_vote': 1.2, 'groups': []}, {'id': 'LA', 'name': 'Louisiana', 'code': 'LA', 'electoral_votes': 8, 'campaign_cost': 25, 'popular_vote': 2, 'groups': ['AA', 'OG', 'OS', 'ED']}, {'id': 'ME', 'name': 'Maine', 'code': 'ME', 'electoral_votes': 4, 'campaign_cost': 12.5, 'popular_vote': 0.7, 'groups': ['TG']}, {'id': 'MD', 'name': 'Maryland', 'code': 'MD', 'electoral_votes': 10, 'campaign_cost': 35, 'popular_vote': 2.8, 'groups': ['AA', 'HT', 'OS']}, {'id': 'MA', 'name': 'Massachusetts', 'code': 'MA', 'electoral_votes': 11, 'campaign_cost': 37.5, 'popular_vote': 3.3, 'groups': ['HT', 'TG']}, {'id': 'MI', 'name': 'Michigan', 'code': 'MI', 'electoral_votes': 16, 'campaign_cost': 45, 'popular_vote': 4.8, 'groups': ['AA', 'HT', 'MB', 'ED']}, {'id': 'MN', 'name': 'Minnesota', 'code': 'MN', 'electoral_votes': 10, 'campaign_cost': 35, 'popular_vote': 2.9, 'groups': ['A', 'TG']}, {'id': 'MS', 'name': 'Mississippi', 'code': 'MS', 'electoral_votes': 6, 'campaign_cost': 20, 'popular_vote': 1.2, 'groups': ['AA', 'OS']}, {'id': 'MO', 'name': 'Missouri', 'code': 'MO', 'electoral_votes': 10, 'campaign_cost': 35, 'popular_vote': 2.8, 'groups': ['TG']}, {'id': 'MT', 'name': 'Montana', 'code': 'MT', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.5, 'groups': []}, {'id': 'NE', 'name': 'Nebraska', 'code': 'NE', 'electoral_votes': 5, 'campaign_cost': 15, 'popular_vote': 0.8, 'groups': ['A', 'TG']}, {'id': 'NV', 'name': 'Nevada', 'code': 'NV', 'electoral_votes': 6, 'campaign_cost': 17.5, 'popular_vote': 1.1, 'groups': ['L']}, {'id': 'NH', 'name': 'New Hampshire', 'code': 'NH', 'electoral_votes': 4, 'campaign_cost': 12.5, 'popular_vote': 0.7, 'groups': ['HT', 'SS', 'TG']}, {'id': 'NJ', 'name': 'New Jersey', 'code': 'NJ', 'electoral_votes': 14, 'campaign_cost': 42.5, 'popular_vote': 3.9, 'groups': ['L']}, {'id': 'NM', 'name': 'New Mexico', 'code': 'NM', 'electoral_votes': 5, 'campaign_cost': 15, 'popular_vote': 0.8, 'groups': ['L', 'OS', 'SS']}, {'id': 'NY', 'name': 'New York', 'code': 'NY', 'electoral_votes': 29, 'campaign_cost': 150, 'popular_vote': 7.7, 'groups': ['AA', 'L', 'HT', 'ED', 'TG']}, {'id': 'NC', 'name': 'North Carolina', 'code': 'NC', 'electoral_votes': 15, 'campaign_cost': 42.5, 'popular_vote': 4.7, 'groups': ['AA', 'A', 'MB', 'OS', 'SS']}, {'id': 'ND', 'name': 'North Dakota', 'code': 'ND', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.3, 'groups': ['OG', 'TG']}, {'id': 'OH', 'name': 'Ohio', 'code': 'OH', 'electoral_votes': 18, 'campaign_cost': 50, 'popular_vote': 5.5, 'groups': ['MB', 'ED', 'SS']}, {'id': 'OK', 'name': 'Oklahoma', 'code': 'OK', 'electoral_votes': 7, 'campaign_cost': 20, 'popular_vote': 1.5, 'groups': ['OG']}, {'id': 'OR', 'name': 'Oregon', 'code': 'OR', 'electoral_votes': 7, 'campaign_cost': 22.5, 'popular_vote': 2, 'groups': ['ED']}, {'id': 'PA', 'name': 'Pennsylvania', 'code': 'PA', 'electoral_votes': 20, 'campaign_cost': 60, 'popular_vote': 6.1, 'groups': ['HT', 'MB', 'ED', 'SS']}, {'id': 'RI', 'name': 'Rhode Island', 'code': 'RI', 'electoral_votes': 4, 'campaign_cost': 12.5, 'popular_vote': 0.5, 'groups': ['TG']}, {'id': 'SC', 'name': 'South Carolina', 'code': 'SC', 'electoral_votes': 9, 'campaign_cost': 32.5, 'popular_vote': 2.1, 'groups': ['AA', 'OS']}, {'id': 'SD', 'name': 'South Dakota', 'code': 'SD', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.4, 'groups': ['OG']}, {'id': 'TN', 'name': 'Tennessee', 'code': 'TN', 'electoral_votes': 11, 'campaign_cost': 37.5, 'popular_vote': 2.5, 'groups': ['AA']}, {'id': 'TX', 'name': 'Texas', 'code': 'TX', 'electoral_votes': 38, 'campaign_cost': 200, 'popular_vote': 9, 'groups': ['L', 'OG', 'A', 'MB', 'ED']}, {'id': 'UT', 'name': 'Utah', 'code': 'UT', 'electoral_votes': 6, 'campaign_cost': 20, 'popular_vote': 1.1, 'groups': ['HT', 'TG']}, {'id': 'VT', 'name': 'Vermont', 'code': 'VT', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.3, 'groups': ['TG']}, {'id': 'VA', 'name': 'Virginia', 'code': 'VA', 'electoral_votes': 13, 'campaign_cost': 22.5, 'popular_vote': 4, 'groups': ['AA', 'HT', 'OS', 'SS']}, {'id': 'WA', 'name': 'Washington', 'code': 'WA', 'electoral_votes': 12, 'campaign_cost': 25, 'popular_vote': 3.2, 'groups': ['HT', 'ED']}, {'id': 'WV', 'name': 'West Virginia', 'code': 'WV', 'electoral_votes': 5, 'campaign_cost': 17.5, 'popular_vote': 0.7, 'groups': ['OG']}, {'id': 'WI', 'name': 'Wisconsin', 'code': 'WI', 'electoral_votes': 10, 'campaign_cost': 35, 'popular_vote': 3, 'groups': ['A', 'MB', 'SS']}, {'id': 'WY', 'name': 'Wyoming', 'code': 'WY', 'electoral_votes': 3, 'campaign_cost': 10, 'popular_vote': 0.3, 'groups': ['OG']}] |
#!/usr/bin/python
# function
def my_function():
print("Hello world!")
# call function
def call_function():
print("Hello world!")
call_function()
# output:
# Hello world!
# parameters
def pa_function(param):
print("Hello", param)
pa_function("Emily")
pa_function("John")
# output:
# Hello Emily
# Hello John
# default parameters
def de_function(name = "Cat"):
print("Hello" + name)
de_function()
de_function("Dog")
# output:
# Hello Cat
# Hello Dog
# return value
def ret_function(x):
return x * 2
print(ret_function(5))
print(ret_function(6))
print(ret_function(2))
# output:
# 10
# 12
# 4
# recursion
def rec_function(x):
if x > 0:
result = x + rec_function(x - 1)
print(result)
else:
result = 0
return result
rec_function(5)
# output:
# 1
# 3
# 6
# 10
# 15
# passing a list as a parameter
numbers = ["one", "two", "three"]
def pas_function(x):
for x in numbers:
print("This is number", x)
pas_function(numbers)
# output:
# This is number one
# This is number two
# This is number three | def my_function():
print('Hello world!')
def call_function():
print('Hello world!')
call_function()
def pa_function(param):
print('Hello', param)
pa_function('Emily')
pa_function('John')
def de_function(name='Cat'):
print('Hello' + name)
de_function()
de_function('Dog')
def ret_function(x):
return x * 2
print(ret_function(5))
print(ret_function(6))
print(ret_function(2))
def rec_function(x):
if x > 0:
result = x + rec_function(x - 1)
print(result)
else:
result = 0
return result
rec_function(5)
numbers = ['one', 'two', 'three']
def pas_function(x):
for x in numbers:
print('This is number', x)
pas_function(numbers) |
words=['Wednesday',
'a lot',
'absence',
'accept',
'acceptable',
'accessible',
'accidentally',
'accommodate',
'accompanied',
'accomplish',
'accumulate',
'accuracy',
'achievement',
'acknowledgment',
'acquaintance',
'acquire',
'acquitted',
'across',
'actually',
'address',
'admission',
'adolescent',
'advice',
'advise',
'advised',
'affected',
'affectionate',
'aggravate',
'aggressive',
'alcohol',
'all right',
'allotted',
'allusion',
'always',
'amateur',
'annual',
'argument',
'arrangement',
'beginning',
'believe',
'business',
'capital',
'capitol',
'coming',
'committee',
'complement',
'compliment',
'decide',
'definite',
'desert',
'dessert',
'divide',
'embarrass',
'exaggerate',
'existence',
'explanation',
'financially',
'forehead',
'foreign',
'forfeit',
'forty',
'forward',
'friend',
'fulfillment',
'gauge',
'generally',
'government',
'governor',
'grammar',
'grammatically',
'grief',
'guaranteed',
'guard',
'guidance',
'happened',
'harass',
'height',
'hero',
'heroes',
'humor',
'hypocrisy',
'hypocrite',
'ignorant',
'illogical',
'imaginary',
'imagine',
'imitate',
'immediately',
'immense',
'incidentally',
'incredible',
'independent',
'indispensable',
'inevitable',
'infinite',
'influential',
'initiative',
'innocence',
'intellectual',
'intelligence',
'intelligent',
'interest',
'interpret',
'interrupt',
'introduce',
'irrelevant',
'irresistible',
'irritable',
'irritated',
"it's",
'its',
'knowledge',
'laboratory',
'legitimate',
'leisure',
'liable',
'library',
'license',
'lightning',
'literature',
'lively',
'loneliness',
'lonely',
'lose',
'lying',
'magazine',
'maintenance',
'maneuver',
'manual',
'manufacture',
'marriage',
'material',
'mathematics',
'meant',
'medicine',
'mere',
'messenger',
'miniature',
'minutes',
'mischievous',
'missile',
'morning',
'mortgage',
'muscles',
'mysterious',
'naturally',
'necessary',
'nickel',
'niece',
'ninety',
'ninth',
'noticeable',
'noticing',
'nuclear',
'nuisance',
'obstacle',
'occasionally',
'occur',
'occurred',
'occurrence',
'omission',
'omitted',
'opinion',
'opponent',
'opportunity',
'opposite',
'optimism',
'organize',
'origin',
'original',
'paid',
'pamphlet',
'parallel',
'particular',
'pastime',
'peculiar',
'performance',
'perhaps',
'permanent',
'permissible',
'personal',
'physical',
'physician',
'piece',
'planned',
'pleasant',
'poison',
'possess',
'possession',
'possible',
'possibly',
'practically',
'prairie',
'precede',
'preferred',
'prejudiced',
'preparation',
'prepare',
'presence',
'prevalent',
'principal',
'principle',
'privilege',
'probably',
'procedure',
'proceed',
'profession',
'professor',
'prominent',
'pronunciation',
'propaganda',
'prophecy',
'prophesy',
'psychology',
'publicly',
'pumpkin',
'purpose',
'pursue',
'quantity',
'quiet',
'quite',
'quizzes',
'realize',
'really',
'receipt',
'receive',
'receiving',
'recognize',
'recommend',
'reference',
'referred',
'referring',
'regular',
'relieve',
'remembrance',
'repetition',
'representative',
'reproduce',
'restaurant',
'rhythm',
'ridiculous',
'roommate',
'sacrifice',
'safety',
'salary',
'schedule',
'secretary',
'seize',
'separate',
'sergeant',
'severely',
'sheriff',
'shining',
'similar',
'simply',
'since',
'sincerely',
'skiing',
'sophomore',
'specimen',
'speech',
'sponsor',
'strength',
'strict',
'stubbornness',
'studying',
'subtlety',
'succeed',
'successful',
'succession',
'sufficient',
'suicide',
'summary',
'superintendent',
'supersede',
'suppose',
'suppress',
'surely',
'surprise',
'surround',
'susceptible',
'suspicious',
'swimming',
'symbol',
'sympathize',
'technique',
'temperament',
'temperature',
'tendency',
'than',
'their',
'themselves',
'then',
'there',
'therefore',
"they're",
'thorough',
'thought',
'through',
'till',
'to',
'tobacco',
'together',
'tomorrow',
'too',
'tournament',
'traffic',
'trafficked',
'tragedy',
'transferred',
'tremendous',
'tried',
'tries',
'trouble',
'truly',
'twelfth',
'two',
'tyranny',
'unanimous',
'unconscious',
'undoubtedly',
'unmistakably',
'unnecessary',
'until',
'usage',
'useful',
'useless',
'using',
'usually',
'vacuum',
'valuable',
'varies',
'various',
'vegetable',
'vengeance',
'venomous',
'vice',
'view',
'vigilance',
'villain',
'violence',
'visible',
'vitamins',
'waive',
'warrant',
'warring',
'weather',
'weird',
'where',
'wherever',
'whether',
'whichever',
"who's",
'wholly',
'whose',
'wield',
'wintry',
'withdrawal',
'woman',
'women',
'worshiped',
'wreck',
'write',
'writing',
'written',
'yield'] | words = ['Wednesday', 'a lot', 'absence', 'accept', 'acceptable', 'accessible', 'accidentally', 'accommodate', 'accompanied', 'accomplish', 'accumulate', 'accuracy', 'achievement', 'acknowledgment', 'acquaintance', 'acquire', 'acquitted', 'across', 'actually', 'address', 'admission', 'adolescent', 'advice', 'advise', 'advised', 'affected', 'affectionate', 'aggravate', 'aggressive', 'alcohol', 'all right', 'allotted', 'allusion', 'always', 'amateur', 'annual', 'argument', 'arrangement', 'beginning', 'believe', 'business', 'capital', 'capitol', 'coming', 'committee', 'complement', 'compliment', 'decide', 'definite', 'desert', 'dessert', 'divide', 'embarrass', 'exaggerate', 'existence', 'explanation', 'financially', 'forehead', 'foreign', 'forfeit', 'forty', 'forward', 'friend', 'fulfillment', 'gauge', 'generally', 'government', 'governor', 'grammar', 'grammatically', 'grief', 'guaranteed', 'guard', 'guidance', 'happened', 'harass', 'height', 'hero', 'heroes', 'humor', 'hypocrisy', 'hypocrite', 'ignorant', 'illogical', 'imaginary', 'imagine', 'imitate', 'immediately', 'immense', 'incidentally', 'incredible', 'independent', 'indispensable', 'inevitable', 'infinite', 'influential', 'initiative', 'innocence', 'intellectual', 'intelligence', 'intelligent', 'interest', 'interpret', 'interrupt', 'introduce', 'irrelevant', 'irresistible', 'irritable', 'irritated', "it's", 'its', 'knowledge', 'laboratory', 'legitimate', 'leisure', 'liable', 'library', 'license', 'lightning', 'literature', 'lively', 'loneliness', 'lonely', 'lose', 'lying', 'magazine', 'maintenance', 'maneuver', 'manual', 'manufacture', 'marriage', 'material', 'mathematics', 'meant', 'medicine', 'mere', 'messenger', 'miniature', 'minutes', 'mischievous', 'missile', 'morning', 'mortgage', 'muscles', 'mysterious', 'naturally', 'necessary', 'nickel', 'niece', 'ninety', 'ninth', 'noticeable', 'noticing', 'nuclear', 'nuisance', 'obstacle', 'occasionally', 'occur', 'occurred', 'occurrence', 'omission', 'omitted', 'opinion', 'opponent', 'opportunity', 'opposite', 'optimism', 'organize', 'origin', 'original', 'paid', 'pamphlet', 'parallel', 'particular', 'pastime', 'peculiar', 'performance', 'perhaps', 'permanent', 'permissible', 'personal', 'physical', 'physician', 'piece', 'planned', 'pleasant', 'poison', 'possess', 'possession', 'possible', 'possibly', 'practically', 'prairie', 'precede', 'preferred', 'prejudiced', 'preparation', 'prepare', 'presence', 'prevalent', 'principal', 'principle', 'privilege', 'probably', 'procedure', 'proceed', 'profession', 'professor', 'prominent', 'pronunciation', 'propaganda', 'prophecy', 'prophesy', 'psychology', 'publicly', 'pumpkin', 'purpose', 'pursue', 'quantity', 'quiet', 'quite', 'quizzes', 'realize', 'really', 'receipt', 'receive', 'receiving', 'recognize', 'recommend', 'reference', 'referred', 'referring', 'regular', 'relieve', 'remembrance', 'repetition', 'representative', 'reproduce', 'restaurant', 'rhythm', 'ridiculous', 'roommate', 'sacrifice', 'safety', 'salary', 'schedule', 'secretary', 'seize', 'separate', 'sergeant', 'severely', 'sheriff', 'shining', 'similar', 'simply', 'since', 'sincerely', 'skiing', 'sophomore', 'specimen', 'speech', 'sponsor', 'strength', 'strict', 'stubbornness', 'studying', 'subtlety', 'succeed', 'successful', 'succession', 'sufficient', 'suicide', 'summary', 'superintendent', 'supersede', 'suppose', 'suppress', 'surely', 'surprise', 'surround', 'susceptible', 'suspicious', 'swimming', 'symbol', 'sympathize', 'technique', 'temperament', 'temperature', 'tendency', 'than', 'their', 'themselves', 'then', 'there', 'therefore', "they're", 'thorough', 'thought', 'through', 'till', 'to', 'tobacco', 'together', 'tomorrow', 'too', 'tournament', 'traffic', 'trafficked', 'tragedy', 'transferred', 'tremendous', 'tried', 'tries', 'trouble', 'truly', 'twelfth', 'two', 'tyranny', 'unanimous', 'unconscious', 'undoubtedly', 'unmistakably', 'unnecessary', 'until', 'usage', 'useful', 'useless', 'using', 'usually', 'vacuum', 'valuable', 'varies', 'various', 'vegetable', 'vengeance', 'venomous', 'vice', 'view', 'vigilance', 'villain', 'violence', 'visible', 'vitamins', 'waive', 'warrant', 'warring', 'weather', 'weird', 'where', 'wherever', 'whether', 'whichever', "who's", 'wholly', 'whose', 'wield', 'wintry', 'withdrawal', 'woman', 'women', 'worshiped', 'wreck', 'write', 'writing', 'written', 'yield'] |
# -*- coding: iso-8859-1 -*-
"""
MoinMoin - Datasets
Datasets are used by the DataBrowserWidget, and with the
statistics code.
@copyright: 2002 Juergen Hermann <jh@web.de>
@license: GNU GPL, see COPYING for details.
"""
class Column:
""" Meta-data for a column.
"""
_SLOTS = [
('label', ''),
('sortable', 0),
('hidden', 0),
('align', ''),
('autofilter', 0),
]
def __init__(self, name, **kw):
""" Init a column
keys in kw that not in slots are ignored.
@param name: column name, unicode or ascii
@param kw: column meta data, unicode or ascii
"""
self.name = name
for slot, defval in self._SLOTS:
setattr(self, slot, kw.get(slot, defval))
class Dataset:
""" Base dataset.
Holds a 2-dimensional data set (m rows of n columns) and associated
meta-data (column titles, etc.).
Note: Dataset rows and column must contain only ascii or Unicode values!
"""
def __init__(self, data_id=None):
self.columns = []
self.data = []
self._pos = 0
self.data_id = data_id
def __len__(self):
return len(self.data)
def reset(self):
""" Reset iterator to start.
"""
self._pos = 0
def next(self):
""" Return next row as a tuple, ordered by columns.
"""
if self._pos >= len(self):
return None
row = self.data[self._pos]
self._pos += 1
return row
def addRow(self, row):
""" Add a row to the dataset.
"""
self.data.append(row)
class TupleDataset(Dataset):
""" A dataset that stores tuples.
"""
class DictDataset(Dataset):
""" A dataset that stores dicts as the rows.
"""
def next(self):
row = Dataset.next(self)
return tuple([row[col.name] for col in self.columns])
class DbDataset(Dataset):
pass
| """
MoinMoin - Datasets
Datasets are used by the DataBrowserWidget, and with the
statistics code.
@copyright: 2002 Juergen Hermann <jh@web.de>
@license: GNU GPL, see COPYING for details.
"""
class Column:
""" Meta-data for a column.
"""
_slots = [('label', ''), ('sortable', 0), ('hidden', 0), ('align', ''), ('autofilter', 0)]
def __init__(self, name, **kw):
""" Init a column
keys in kw that not in slots are ignored.
@param name: column name, unicode or ascii
@param kw: column meta data, unicode or ascii
"""
self.name = name
for (slot, defval) in self._SLOTS:
setattr(self, slot, kw.get(slot, defval))
class Dataset:
""" Base dataset.
Holds a 2-dimensional data set (m rows of n columns) and associated
meta-data (column titles, etc.).
Note: Dataset rows and column must contain only ascii or Unicode values!
"""
def __init__(self, data_id=None):
self.columns = []
self.data = []
self._pos = 0
self.data_id = data_id
def __len__(self):
return len(self.data)
def reset(self):
""" Reset iterator to start.
"""
self._pos = 0
def next(self):
""" Return next row as a tuple, ordered by columns.
"""
if self._pos >= len(self):
return None
row = self.data[self._pos]
self._pos += 1
return row
def add_row(self, row):
""" Add a row to the dataset.
"""
self.data.append(row)
class Tupledataset(Dataset):
""" A dataset that stores tuples.
"""
class Dictdataset(Dataset):
""" A dataset that stores dicts as the rows.
"""
def next(self):
row = Dataset.next(self)
return tuple([row[col.name] for col in self.columns])
class Dbdataset(Dataset):
pass |
def total_parity(n):
"""
Checks the binary parity of the value `n`. 01001 is even parity, 011001 is odd parity.
:param n: any positive integer
:returns: 1 for odd parity, 0 for even parity.
"""
if n == 0:
return 0
N = int(np.ceil(np.log2(n)))
if 2 ** N == n:
N += 1
set_bits = 0
for i in range(N):
if n & 2**i:
set_bits += 1
return set_bits % 2
def parity_representation(n, N):
"""
Converts from the Fock representation to the parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the parity mapped value
"""
if n == 0:
return 0
mask = 2 ** (N) - 1
parity_value = 0
for i in range(N):
parity_value = parity_value << 1
if total_parity(n & mask):
parity_value += 1
#print(f'{n} = {n:b}: {mask:04b} {n & mask:04b} {parity_value:04b}')
mask = (mask - 1) >> 1
return parity_value
def fock_representation(n, N):
"""
Converts from the parity representation to the Fock representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the Fock mapped value
"""
mask = 2 ** (N) - 1
fock_rep = n ^ (n << 1)
#print(f'{n} = {n:b}: {fock_rep:04b} {mask:04b}')
return fock_rep & mask
def z2_reduction(n, N):
"""
Performs so-called Z2-symmetry reduction on a parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the Z2 reduced parity value
"""
lower_mask = 2 ** (N//2 - 1) - 1
upper_mask = lower_mask << N//2
z2_reduced = (n & lower_mask) + ((n & upper_mask) >> 1)
#print(f'{n} = {n:0{N}b} : {z2_reduced:0{N-2}b} {lower_mask:0{N}b} {upper_mask:0{N}b}')
return z2_reduced
def z2_expansion(n, N, n_a, n_b):
"""
Performs so-called Z2-symmetry expansion on a parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:param n_a: the number of alpha electrons
:param n_b: the number of beta spin electrons
:returns: the integer representing the parity value after expansion
"""
lower_mask = 2 ** (N//2) - 1
upper_mask = lower_mask << N//2
z2_expanded = (n & lower_mask) + (((n_a) % 2) << N//2) + ((n & upper_mask) << 1) + (((n_a + n_b) % 2) << (N + 1))
#print(f'{n} = {n:0{N}b} : {z2_expanded:0{N+2}b} {lower_mask:0{N+2}b} {upper_mask:0{N+2}b}')
return z2_expanded
# For Fock representations
def num_alpha(n, N):
"""
Counts the number of alpha electrons in a Fock representation. Assumes that the orbitals are sorted by spin first.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: an integer giving the number of alpha electrons
"""
lower_mask = (2 ** (N//2) - 1)
masked = (n & lower_mask)
counter = 0
indexer = 1
for i in range(N//2):
counter += bool(masked & indexer)
indexer = indexer << 1
return counter
# For Fock representations
def num_beta(n, N):
"""
Counts the number of beta electrons in a Fock representation. Assumes that the orbitals are sorted by spin first.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: an integer giving the number of alpha electrons
"""
upper_mask = (2 ** (N//2) - 1) << N//2
masked = (n & upper_mask)
counter = 0
indexer = 2 ** (N//2)
for i in range(N//2):
counter += bool(masked & indexer) # a bool is automatically cast to 1 or 0
indexer = indexer << 1
return counter
def z2_parity_to_fock(n, N, n_a, n_b):
"""
Performs so-called Z2-symmetry expansion on a Z2 reduced parity representation and returns a Fock representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:param n_a: the number of alpha electrons
:param n_b: the number of beta spin electrons
:returns: the integer representing the Fock value after expansion and mapping
"""
parity_rep = z2_expansion(n, N, n_a, n_b)
fock_rep = fock_representation(parity_rep, N+2)
return fock_rep | def total_parity(n):
"""
Checks the binary parity of the value `n`. 01001 is even parity, 011001 is odd parity.
:param n: any positive integer
:returns: 1 for odd parity, 0 for even parity.
"""
if n == 0:
return 0
n = int(np.ceil(np.log2(n)))
if 2 ** N == n:
n += 1
set_bits = 0
for i in range(N):
if n & 2 ** i:
set_bits += 1
return set_bits % 2
def parity_representation(n, N):
"""
Converts from the Fock representation to the parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the parity mapped value
"""
if n == 0:
return 0
mask = 2 ** N - 1
parity_value = 0
for i in range(N):
parity_value = parity_value << 1
if total_parity(n & mask):
parity_value += 1
mask = mask - 1 >> 1
return parity_value
def fock_representation(n, N):
"""
Converts from the parity representation to the Fock representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the Fock mapped value
"""
mask = 2 ** N - 1
fock_rep = n ^ n << 1
return fock_rep & mask
def z2_reduction(n, N):
"""
Performs so-called Z2-symmetry reduction on a parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: the integer representing the Z2 reduced parity value
"""
lower_mask = 2 ** (N // 2 - 1) - 1
upper_mask = lower_mask << N // 2
z2_reduced = (n & lower_mask) + ((n & upper_mask) >> 1)
return z2_reduced
def z2_expansion(n, N, n_a, n_b):
"""
Performs so-called Z2-symmetry expansion on a parity representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:param n_a: the number of alpha electrons
:param n_b: the number of beta spin electrons
:returns: the integer representing the parity value after expansion
"""
lower_mask = 2 ** (N // 2) - 1
upper_mask = lower_mask << N // 2
z2_expanded = (n & lower_mask) + (n_a % 2 << N // 2) + ((n & upper_mask) << 1) + ((n_a + n_b) % 2 << N + 1)
return z2_expanded
def num_alpha(n, N):
"""
Counts the number of alpha electrons in a Fock representation. Assumes that the orbitals are sorted by spin first.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: an integer giving the number of alpha electrons
"""
lower_mask = 2 ** (N // 2) - 1
masked = n & lower_mask
counter = 0
indexer = 1
for i in range(N // 2):
counter += bool(masked & indexer)
indexer = indexer << 1
return counter
def num_beta(n, N):
"""
Counts the number of beta electrons in a Fock representation. Assumes that the orbitals are sorted by spin first.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:returns: an integer giving the number of alpha electrons
"""
upper_mask = 2 ** (N // 2) - 1 << N // 2
masked = n & upper_mask
counter = 0
indexer = 2 ** (N // 2)
for i in range(N // 2):
counter += bool(masked & indexer)
indexer = indexer << 1
return counter
def z2_parity_to_fock(n, N, n_a, n_b):
"""
Performs so-called Z2-symmetry expansion on a Z2 reduced parity representation and returns a Fock representation.
:param n: any positive integer
:param N: number of bits/qubits used in representing the integer `n`
:param n_a: the number of alpha electrons
:param n_b: the number of beta spin electrons
:returns: the integer representing the Fock value after expansion and mapping
"""
parity_rep = z2_expansion(n, N, n_a, n_b)
fock_rep = fock_representation(parity_rep, N + 2)
return fock_rep |
#-*- coding:utf-8
class Restaurant():
def __init__(self, restaurant_name, cuisine_type):
self.restaurant_name = restaurant_name
self.cuisine_type = cuisine_type
def describe_restaurant(self):
print(self.restaurant_name.title() + "'s cuisine type is " + self.cuisine_type + ".")
def open_restaurant(self):
print(self.restaurant_name.title() + " opens.") | class Restaurant:
def __init__(self, restaurant_name, cuisine_type):
self.restaurant_name = restaurant_name
self.cuisine_type = cuisine_type
def describe_restaurant(self):
print(self.restaurant_name.title() + "'s cuisine type is " + self.cuisine_type + '.')
def open_restaurant(self):
print(self.restaurant_name.title() + ' opens.') |
# -*- coding: utf-8 -*-
# @Time : 2021/1/3
# @Author : handsomezhou
#start:setting
table_setting="setting"
INDEX_ID=int(0)
INDEX_KEY=int(1)
INDEX_VALUE=int(2)
INDEX_CREATE_TIME=int(3)
INDEX_UPDATE_TIME=int(4)
id = "id"
key = "key"
value = "value"
create_time = "create_time"
update_time = "update_time"
CREATE_TABLE_SETTING = "CREATE TABLE IF NOT EXISTS "+table_setting+"("+id+" INTEGER PRIMARY KEY,"+key+" TEXT NOT NULL,"+value+" TEXT NOT NULL,"+create_time+" TEXT NOT NULL,"+update_time+" TEXT NOT NULL);"
INSERT_TABLE_SETTING_ITEM="INSERT INTO "+table_setting+" ("+id+","+key+","+value+","+create_time+","+update_time+") VALUES (?, ?, ?, ?, ? );"
UPDATE_TABLE_SETTING_ITEM = "UPDATE "+table_setting+" SET "+value+" = ?,"+update_time+" = ? WHERE "+key+" = ?;"
FIND_TABLE_SETTING_ITEM_BY_KEY = "SELECT * FROM " +table_setting + " WHERE "+key+" = ? ;"
FIND_TABLE_SETTING_ITEM_ID_KEY_VALUE_CREATE_TIME_UPDATE_TIME_BY_KEY = "SELECT " + id + "," + key + "," + value + "," + create_time + "," + update_time + " FROM " + table_setting + " WHERE " + key + " = ? ;"
FIND_TABLE_SETTING_ITEM_ID_KEY_VALUE_CREATE_TIME_UPDATE_TIME = "SELECT " + id + "," + key + "," + value + "," + create_time + "," + update_time + " FROM " + table_setting + " ;"
FIND_TABLE_SETTING_VALUE_BY_KEY = "SELECT "+value+" FROM " +table_setting + " WHERE "+key+" = ? ;"
#end:setting
| table_setting = 'setting'
index_id = int(0)
index_key = int(1)
index_value = int(2)
index_create_time = int(3)
index_update_time = int(4)
id = 'id'
key = 'key'
value = 'value'
create_time = 'create_time'
update_time = 'update_time'
create_table_setting = 'CREATE TABLE IF NOT EXISTS ' + table_setting + '(' + id + ' INTEGER PRIMARY KEY,' + key + ' TEXT NOT NULL,' + value + ' TEXT NOT NULL,' + create_time + ' TEXT NOT NULL,' + update_time + ' TEXT NOT NULL);'
insert_table_setting_item = 'INSERT INTO ' + table_setting + ' (' + id + ',' + key + ',' + value + ',' + create_time + ',' + update_time + ') VALUES (?, ?, ?, ?, ? );'
update_table_setting_item = 'UPDATE ' + table_setting + ' SET ' + value + ' = ?,' + update_time + ' = ? WHERE ' + key + ' = ?;'
find_table_setting_item_by_key = 'SELECT * FROM ' + table_setting + ' WHERE ' + key + ' = ? ;'
find_table_setting_item_id_key_value_create_time_update_time_by_key = 'SELECT ' + id + ',' + key + ',' + value + ',' + create_time + ',' + update_time + ' FROM ' + table_setting + ' WHERE ' + key + ' = ? ;'
find_table_setting_item_id_key_value_create_time_update_time = 'SELECT ' + id + ',' + key + ',' + value + ',' + create_time + ',' + update_time + ' FROM ' + table_setting + ' ;'
find_table_setting_value_by_key = 'SELECT ' + value + ' FROM ' + table_setting + ' WHERE ' + key + ' = ? ;' |
def convert(num):
num = int(num)
new = bin(num)[2:]
new = ((32 - len(new)) * '0') + new
return new
def maping_one(num, indexs):
for i in range(len(num)):
if (i not in indexs):
indexs[i] = [0, []]
if (num[i] == '1'):
indexs[i][0] += 1
indexs[i][1].append(num)
return indexs
def mapping_all(nums, indexs):
for num in nums:
maping_one(num, indexs)
return indexs
def find_it(nums, k, start):
indexs = dict()
indexs = mapping_all(nums, indexs)
for i in range(start, 32):
if (indexs[i][0] == k):
return AND(indexs[i][1])
elif(indexs[i][0] > k):
return find_it(indexs[i][1], k, i + 1)
if (indexs[i][0] < k and i == 31):
return AND(nums)
if (len(nums) > k or start >= 31):
return AND(nums[:k])
return '0'
def AND(nums):
result = '0'
if (len(nums) > 0):
result = nums[0]
for i in range(1, len(nums)):
aux = ''
for j in range(len(nums[i])):
if (nums[i][j] == result[j] and nums[i][j] == '1'):
aux += '1'
else:
aux += '0'
result = aux
return result
tests = int(input())
for i in range(tests):
n, k = map(int, input().split())
conj = list(map(convert, input().split()))
bin_set = dict()
indexs = dict()
if (n < k):
print(0)
else:
sume = find_it(conj, k, 0)
print(int(sume, 2))
| def convert(num):
num = int(num)
new = bin(num)[2:]
new = (32 - len(new)) * '0' + new
return new
def maping_one(num, indexs):
for i in range(len(num)):
if i not in indexs:
indexs[i] = [0, []]
if num[i] == '1':
indexs[i][0] += 1
indexs[i][1].append(num)
return indexs
def mapping_all(nums, indexs):
for num in nums:
maping_one(num, indexs)
return indexs
def find_it(nums, k, start):
indexs = dict()
indexs = mapping_all(nums, indexs)
for i in range(start, 32):
if indexs[i][0] == k:
return and(indexs[i][1])
elif indexs[i][0] > k:
return find_it(indexs[i][1], k, i + 1)
if indexs[i][0] < k and i == 31:
return and(nums)
if len(nums) > k or start >= 31:
return and(nums[:k])
return '0'
def and(nums):
result = '0'
if len(nums) > 0:
result = nums[0]
for i in range(1, len(nums)):
aux = ''
for j in range(len(nums[i])):
if nums[i][j] == result[j] and nums[i][j] == '1':
aux += '1'
else:
aux += '0'
result = aux
return result
tests = int(input())
for i in range(tests):
(n, k) = map(int, input().split())
conj = list(map(convert, input().split()))
bin_set = dict()
indexs = dict()
if n < k:
print(0)
else:
sume = find_it(conj, k, 0)
print(int(sume, 2)) |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Author : windpro
E-mail : windprog@gmail.com
Date : 15/8/26
Desc :
"""
| """
Author : windpro
E-mail : windprog@gmail.com
Date : 15/8/26
Desc :
""" |
# -*- coding: utf-8 -*-
"""
@author: Francis Franklin
"""
| """
@author: Francis Franklin
""" |
"""
PASSENGERS
"""
numPassengers = 19157
passenger_arriving = (
(14, 8, 6, 8, 8, 0, 0, 1, 4, 0, 0, 2, 0, 7, 3, 3, 4, 3, 2, 0, 1, 0, 2, 2, 0, 0), # 0
(5, 5, 6, 5, 3, 2, 5, 2, 3, 5, 1, 1, 0, 7, 6, 5, 3, 8, 5, 1, 2, 2, 1, 0, 0, 0), # 1
(5, 9, 4, 2, 7, 4, 2, 1, 2, 0, 0, 0, 0, 10, 3, 5, 1, 6, 3, 3, 2, 3, 1, 0, 0, 0), # 2
(9, 3, 5, 2, 7, 1, 6, 2, 2, 4, 0, 1, 0, 12, 6, 2, 8, 8, 10, 1, 2, 0, 2, 2, 0, 0), # 3
(8, 7, 7, 10, 5, 0, 2, 1, 3, 1, 0, 0, 0, 8, 5, 4, 1, 3, 2, 3, 0, 0, 1, 1, 0, 0), # 4
(5, 4, 5, 3, 4, 3, 3, 5, 2, 0, 3, 0, 0, 6, 5, 7, 3, 7, 1, 2, 3, 3, 1, 3, 2, 0), # 5
(7, 4, 9, 9, 3, 4, 6, 1, 2, 3, 1, 0, 0, 6, 6, 6, 7, 2, 2, 4, 1, 0, 3, 1, 1, 0), # 6
(7, 5, 9, 3, 7, 4, 1, 5, 1, 1, 2, 1, 0, 4, 3, 8, 2, 8, 1, 5, 2, 2, 1, 0, 0, 0), # 7
(14, 6, 4, 9, 9, 3, 2, 0, 1, 2, 0, 0, 0, 5, 6, 5, 5, 7, 3, 1, 5, 4, 1, 1, 0, 0), # 8
(9, 7, 4, 10, 6, 3, 3, 0, 1, 2, 0, 0, 0, 4, 5, 6, 2, 7, 5, 1, 0, 4, 1, 2, 1, 0), # 9
(8, 5, 4, 9, 9, 5, 5, 6, 3, 0, 0, 1, 0, 6, 9, 7, 5, 6, 6, 1, 4, 4, 3, 1, 0, 0), # 10
(11, 6, 9, 10, 5, 3, 6, 1, 1, 1, 0, 0, 0, 11, 6, 3, 2, 11, 5, 2, 1, 4, 3, 1, 0, 0), # 11
(9, 4, 7, 5, 9, 4, 3, 2, 3, 1, 2, 1, 0, 5, 10, 9, 5, 12, 4, 5, 6, 4, 6, 4, 0, 0), # 12
(10, 7, 9, 8, 8, 2, 3, 3, 3, 1, 2, 1, 0, 7, 10, 4, 4, 5, 6, 2, 2, 5, 2, 2, 1, 0), # 13
(9, 13, 10, 12, 6, 1, 5, 7, 5, 5, 1, 0, 0, 7, 6, 4, 11, 9, 7, 5, 0, 3, 3, 2, 0, 0), # 14
(14, 10, 14, 7, 10, 6, 2, 5, 5, 0, 1, 1, 0, 4, 6, 7, 7, 5, 3, 8, 5, 6, 6, 1, 0, 0), # 15
(10, 9, 11, 8, 5, 3, 5, 5, 3, 1, 0, 2, 0, 8, 9, 8, 7, 12, 3, 2, 2, 7, 3, 1, 0, 0), # 16
(13, 8, 13, 8, 7, 3, 3, 2, 5, 1, 0, 0, 0, 3, 8, 5, 5, 5, 2, 3, 4, 5, 3, 1, 2, 0), # 17
(8, 10, 7, 7, 3, 5, 6, 8, 4, 3, 3, 1, 0, 11, 8, 6, 13, 13, 3, 8, 0, 6, 1, 1, 1, 0), # 18
(5, 13, 12, 11, 6, 5, 4, 2, 1, 2, 3, 1, 0, 8, 5, 8, 8, 7, 9, 4, 2, 0, 4, 3, 0, 0), # 19
(15, 13, 5, 4, 7, 2, 6, 4, 4, 4, 2, 3, 0, 18, 7, 8, 4, 6, 3, 3, 3, 4, 2, 1, 1, 0), # 20
(9, 15, 5, 9, 9, 3, 7, 2, 6, 0, 1, 2, 0, 10, 9, 10, 11, 8, 5, 2, 5, 3, 1, 1, 0, 0), # 21
(10, 9, 12, 5, 11, 3, 4, 5, 6, 1, 0, 1, 0, 9, 9, 3, 4, 15, 8, 5, 2, 3, 2, 3, 3, 0), # 22
(8, 7, 3, 6, 2, 3, 2, 4, 5, 2, 2, 2, 0, 6, 5, 5, 1, 12, 6, 2, 3, 3, 4, 1, 4, 0), # 23
(6, 7, 9, 9, 8, 6, 3, 6, 6, 2, 0, 1, 0, 12, 11, 8, 9, 9, 10, 2, 2, 6, 0, 2, 4, 0), # 24
(15, 13, 8, 9, 9, 3, 5, 5, 5, 0, 2, 1, 0, 8, 9, 11, 9, 8, 7, 2, 1, 2, 5, 2, 0, 0), # 25
(10, 6, 9, 4, 7, 3, 4, 6, 3, 1, 0, 1, 0, 8, 9, 5, 7, 9, 5, 7, 3, 1, 3, 0, 1, 0), # 26
(8, 10, 7, 6, 9, 7, 2, 2, 7, 1, 0, 2, 0, 7, 8, 6, 6, 4, 5, 4, 2, 4, 5, 2, 1, 0), # 27
(11, 9, 6, 10, 6, 2, 3, 5, 7, 3, 1, 1, 0, 6, 8, 4, 6, 4, 3, 2, 2, 2, 1, 0, 2, 0), # 28
(11, 9, 7, 12, 8, 4, 0, 7, 1, 1, 0, 0, 0, 8, 7, 9, 9, 4, 3, 7, 3, 4, 0, 1, 2, 0), # 29
(9, 10, 12, 13, 8, 6, 2, 2, 2, 2, 1, 1, 0, 10, 10, 4, 6, 7, 7, 6, 2, 4, 2, 1, 2, 0), # 30
(11, 9, 10, 4, 5, 0, 6, 6, 1, 1, 1, 1, 0, 12, 9, 6, 5, 3, 11, 4, 2, 7, 6, 4, 0, 0), # 31
(18, 9, 9, 6, 9, 0, 1, 1, 7, 3, 2, 0, 0, 9, 5, 6, 3, 8, 3, 1, 2, 2, 3, 3, 2, 0), # 32
(10, 10, 10, 6, 2, 12, 7, 0, 7, 2, 3, 0, 0, 5, 12, 8, 1, 14, 6, 4, 2, 6, 3, 1, 0, 0), # 33
(15, 9, 11, 11, 10, 4, 5, 1, 9, 3, 0, 1, 0, 9, 7, 7, 5, 6, 7, 2, 1, 3, 4, 0, 2, 0), # 34
(14, 13, 9, 18, 7, 6, 2, 4, 4, 1, 3, 1, 0, 9, 10, 7, 8, 4, 4, 5, 4, 2, 1, 3, 3, 0), # 35
(8, 5, 6, 4, 11, 3, 6, 5, 6, 2, 0, 2, 0, 15, 6, 6, 6, 5, 6, 3, 4, 3, 3, 1, 2, 0), # 36
(6, 8, 15, 4, 6, 3, 3, 4, 1, 4, 0, 0, 0, 15, 8, 11, 5, 12, 1, 6, 1, 5, 6, 1, 0, 0), # 37
(15, 17, 9, 7, 8, 4, 5, 2, 2, 0, 0, 1, 0, 10, 9, 3, 6, 8, 5, 2, 4, 5, 4, 1, 1, 0), # 38
(7, 11, 6, 11, 12, 3, 4, 4, 2, 1, 3, 1, 0, 9, 7, 10, 2, 8, 4, 7, 2, 7, 0, 1, 2, 0), # 39
(9, 5, 9, 12, 5, 1, 3, 4, 2, 1, 0, 1, 0, 11, 7, 5, 6, 15, 4, 4, 1, 4, 3, 1, 1, 0), # 40
(8, 5, 7, 10, 11, 5, 7, 3, 6, 1, 2, 1, 0, 18, 9, 6, 8, 8, 5, 6, 2, 3, 2, 1, 2, 0), # 41
(10, 12, 7, 10, 9, 2, 3, 4, 3, 1, 0, 0, 0, 7, 11, 3, 6, 8, 4, 4, 5, 6, 3, 0, 0, 0), # 42
(11, 10, 12, 7, 10, 8, 4, 1, 2, 3, 1, 1, 0, 16, 7, 14, 5, 12, 9, 1, 1, 5, 2, 3, 2, 0), # 43
(8, 14, 12, 8, 6, 4, 3, 2, 4, 1, 1, 0, 0, 14, 10, 11, 5, 9, 4, 2, 2, 5, 4, 2, 0, 0), # 44
(8, 14, 9, 3, 6, 3, 4, 6, 2, 0, 1, 2, 0, 7, 11, 7, 5, 15, 1, 3, 4, 2, 3, 0, 0, 0), # 45
(9, 11, 8, 9, 5, 1, 2, 3, 4, 5, 1, 0, 0, 11, 12, 10, 6, 8, 6, 4, 3, 11, 7, 2, 2, 0), # 46
(11, 10, 13, 12, 7, 5, 8, 4, 2, 2, 0, 0, 0, 11, 6, 10, 9, 3, 6, 5, 2, 3, 5, 5, 0, 0), # 47
(8, 7, 6, 7, 6, 4, 6, 1, 3, 2, 1, 1, 0, 12, 11, 7, 3, 14, 7, 0, 1, 3, 4, 3, 1, 0), # 48
(8, 8, 9, 10, 7, 3, 1, 3, 3, 4, 1, 0, 0, 12, 11, 7, 2, 6, 5, 1, 1, 2, 1, 3, 1, 0), # 49
(6, 11, 8, 5, 13, 2, 2, 4, 4, 1, 2, 1, 0, 10, 12, 6, 4, 4, 5, 4, 2, 2, 4, 2, 0, 0), # 50
(10, 11, 8, 14, 7, 4, 3, 6, 5, 0, 1, 0, 0, 6, 14, 2, 3, 6, 5, 4, 3, 4, 3, 1, 2, 0), # 51
(13, 6, 12, 10, 5, 2, 4, 2, 2, 2, 1, 0, 0, 12, 8, 11, 5, 11, 1, 7, 3, 7, 1, 1, 1, 0), # 52
(12, 14, 10, 6, 10, 3, 4, 6, 6, 3, 1, 0, 0, 10, 13, 5, 3, 11, 6, 4, 1, 5, 3, 2, 0, 0), # 53
(13, 10, 6, 11, 3, 5, 5, 7, 9, 0, 3, 0, 0, 6, 8, 7, 4, 4, 3, 4, 2, 4, 3, 2, 0, 0), # 54
(11, 8, 10, 13, 8, 6, 3, 4, 2, 2, 1, 2, 0, 5, 7, 6, 4, 10, 8, 4, 1, 4, 2, 0, 1, 0), # 55
(10, 13, 9, 6, 5, 4, 1, 4, 4, 5, 0, 2, 0, 8, 6, 6, 9, 7, 3, 6, 5, 4, 6, 0, 0, 0), # 56
(12, 5, 4, 10, 10, 3, 4, 5, 4, 1, 1, 0, 0, 12, 4, 5, 10, 7, 6, 1, 1, 5, 4, 1, 0, 0), # 57
(12, 14, 7, 12, 9, 0, 5, 3, 4, 1, 2, 0, 0, 10, 9, 4, 2, 6, 5, 6, 1, 2, 1, 1, 3, 0), # 58
(7, 9, 4, 7, 6, 1, 0, 2, 3, 2, 0, 0, 0, 10, 11, 9, 5, 7, 4, 2, 3, 4, 4, 2, 0, 0), # 59
(12, 6, 8, 12, 5, 4, 3, 5, 3, 2, 1, 0, 0, 18, 7, 9, 8, 5, 3, 9, 1, 6, 5, 4, 1, 0), # 60
(13, 10, 9, 11, 9, 4, 3, 3, 5, 1, 2, 0, 0, 10, 9, 8, 2, 8, 0, 8, 1, 3, 3, 1, 2, 0), # 61
(10, 12, 7, 10, 4, 5, 4, 3, 3, 3, 1, 0, 0, 6, 6, 6, 5, 11, 4, 3, 6, 3, 1, 2, 0, 0), # 62
(12, 12, 13, 5, 7, 11, 3, 4, 6, 2, 1, 1, 0, 17, 9, 11, 5, 6, 2, 4, 4, 2, 2, 0, 0, 0), # 63
(10, 11, 11, 6, 10, 2, 2, 2, 3, 4, 5, 0, 0, 9, 7, 6, 7, 4, 8, 10, 4, 4, 2, 0, 1, 0), # 64
(9, 6, 7, 14, 9, 6, 7, 5, 4, 1, 2, 0, 0, 12, 7, 4, 7, 12, 1, 2, 6, 5, 4, 0, 0, 0), # 65
(11, 7, 10, 13, 8, 2, 7, 2, 5, 0, 1, 0, 0, 14, 12, 7, 3, 9, 5, 5, 2, 1, 2, 1, 1, 0), # 66
(12, 7, 9, 9, 13, 3, 6, 3, 6, 1, 0, 0, 0, 14, 7, 7, 6, 6, 2, 5, 1, 2, 6, 2, 1, 0), # 67
(5, 9, 13, 13, 5, 4, 2, 4, 2, 1, 2, 1, 0, 8, 18, 11, 4, 13, 5, 6, 2, 5, 2, 0, 2, 0), # 68
(13, 3, 7, 10, 6, 7, 4, 1, 5, 2, 2, 0, 0, 6, 12, 3, 4, 3, 2, 2, 1, 3, 2, 2, 0, 0), # 69
(4, 9, 8, 7, 7, 4, 1, 4, 2, 1, 2, 0, 0, 8, 6, 8, 9, 9, 4, 6, 2, 2, 3, 2, 0, 0), # 70
(14, 9, 8, 9, 5, 8, 2, 1, 1, 1, 1, 2, 0, 17, 9, 15, 5, 8, 2, 4, 3, 2, 2, 1, 3, 0), # 71
(13, 6, 7, 12, 8, 4, 4, 3, 1, 1, 1, 1, 0, 14, 6, 6, 6, 12, 4, 4, 3, 4, 4, 2, 1, 0), # 72
(9, 7, 6, 12, 6, 1, 3, 2, 6, 2, 1, 1, 0, 9, 7, 8, 3, 10, 9, 6, 4, 2, 3, 2, 1, 0), # 73
(11, 11, 9, 8, 6, 7, 4, 1, 3, 3, 1, 1, 0, 5, 10, 4, 4, 7, 3, 4, 2, 6, 0, 0, 0, 0), # 74
(14, 8, 10, 8, 9, 3, 3, 3, 5, 3, 2, 2, 0, 12, 12, 5, 6, 4, 4, 3, 3, 0, 1, 2, 1, 0), # 75
(9, 13, 9, 9, 7, 3, 3, 3, 5, 3, 1, 1, 0, 13, 8, 4, 6, 3, 7, 1, 1, 5, 1, 2, 0, 0), # 76
(13, 8, 8, 9, 7, 5, 5, 2, 3, 0, 0, 0, 0, 13, 5, 5, 5, 13, 2, 7, 0, 7, 0, 1, 1, 0), # 77
(9, 7, 4, 14, 9, 2, 4, 4, 5, 2, 1, 1, 0, 9, 13, 8, 2, 2, 4, 3, 1, 3, 6, 0, 0, 0), # 78
(6, 12, 11, 13, 8, 3, 2, 2, 4, 0, 2, 0, 0, 10, 8, 5, 3, 8, 6, 3, 10, 1, 3, 4, 0, 0), # 79
(14, 15, 1, 10, 6, 2, 2, 3, 4, 0, 2, 1, 0, 6, 11, 11, 3, 9, 4, 3, 2, 4, 3, 1, 2, 0), # 80
(15, 5, 3, 9, 8, 1, 8, 2, 4, 1, 1, 2, 0, 14, 9, 8, 4, 10, 1, 3, 3, 9, 3, 3, 1, 0), # 81
(12, 10, 8, 16, 7, 5, 6, 1, 3, 1, 2, 1, 0, 11, 12, 5, 5, 10, 3, 6, 2, 3, 3, 2, 0, 0), # 82
(9, 13, 13, 3, 5, 3, 3, 4, 3, 1, 2, 1, 0, 11, 11, 13, 4, 4, 4, 4, 1, 7, 2, 3, 1, 0), # 83
(9, 4, 7, 5, 6, 2, 5, 5, 5, 1, 1, 0, 0, 11, 9, 10, 3, 3, 5, 0, 2, 3, 1, 1, 1, 0), # 84
(9, 12, 12, 11, 4, 3, 5, 4, 2, 1, 2, 0, 0, 10, 7, 6, 5, 9, 2, 4, 6, 4, 0, 0, 0, 0), # 85
(12, 6, 8, 6, 14, 4, 3, 3, 2, 1, 0, 1, 0, 7, 10, 4, 4, 6, 3, 4, 3, 4, 5, 1, 1, 0), # 86
(13, 10, 8, 3, 3, 5, 3, 4, 3, 1, 1, 0, 0, 11, 9, 9, 5, 9, 6, 3, 4, 5, 1, 2, 1, 0), # 87
(7, 6, 8, 9, 5, 2, 3, 2, 3, 0, 0, 0, 0, 8, 9, 2, 5, 4, 2, 1, 0, 3, 3, 2, 0, 0), # 88
(10, 10, 8, 6, 9, 4, 2, 4, 2, 1, 1, 2, 0, 7, 11, 8, 7, 13, 1, 5, 2, 1, 5, 1, 1, 0), # 89
(1, 6, 7, 8, 8, 9, 2, 1, 5, 2, 0, 1, 0, 12, 13, 10, 4, 12, 3, 2, 1, 1, 2, 3, 0, 0), # 90
(10, 12, 3, 11, 7, 4, 2, 3, 2, 5, 2, 2, 0, 12, 6, 7, 8, 5, 2, 7, 2, 3, 3, 5, 2, 0), # 91
(10, 10, 7, 5, 7, 4, 6, 3, 6, 1, 0, 0, 0, 16, 6, 8, 9, 8, 2, 0, 4, 4, 4, 1, 0, 0), # 92
(10, 8, 9, 6, 6, 0, 5, 3, 7, 0, 2, 0, 0, 6, 11, 5, 4, 9, 8, 0, 6, 0, 5, 3, 0, 0), # 93
(5, 10, 7, 11, 4, 3, 2, 2, 5, 0, 0, 1, 0, 10, 7, 8, 5, 7, 1, 1, 2, 2, 2, 0, 0, 0), # 94
(7, 3, 13, 8, 8, 4, 2, 5, 6, 3, 1, 0, 0, 7, 3, 6, 3, 4, 2, 4, 5, 5, 3, 4, 1, 0), # 95
(6, 8, 5, 5, 10, 3, 1, 2, 1, 2, 1, 2, 0, 8, 8, 7, 2, 12, 1, 4, 0, 3, 2, 2, 0, 0), # 96
(15, 11, 12, 7, 6, 2, 3, 5, 5, 1, 1, 0, 0, 12, 8, 6, 4, 2, 3, 0, 1, 9, 6, 3, 0, 0), # 97
(11, 8, 2, 5, 5, 4, 4, 2, 7, 5, 4, 1, 0, 6, 6, 9, 10, 8, 5, 8, 2, 2, 2, 0, 0, 0), # 98
(9, 8, 6, 8, 10, 1, 4, 3, 6, 5, 0, 0, 0, 20, 8, 7, 4, 10, 3, 5, 0, 3, 9, 1, 1, 0), # 99
(20, 6, 10, 4, 8, 5, 2, 4, 1, 3, 1, 0, 0, 11, 2, 5, 4, 10, 4, 5, 4, 2, 1, 3, 0, 0), # 100
(9, 5, 10, 8, 7, 7, 2, 3, 4, 1, 1, 1, 0, 7, 8, 6, 6, 7, 2, 4, 2, 3, 2, 5, 1, 0), # 101
(12, 8, 9, 7, 4, 2, 0, 3, 2, 4, 1, 1, 0, 11, 11, 8, 5, 4, 6, 9, 0, 4, 4, 0, 0, 0), # 102
(13, 4, 9, 1, 9, 2, 3, 5, 1, 1, 0, 0, 0, 6, 6, 6, 7, 4, 4, 3, 4, 1, 4, 1, 0, 0), # 103
(11, 7, 8, 4, 7, 6, 2, 3, 5, 0, 1, 0, 0, 4, 5, 4, 1, 9, 5, 0, 5, 2, 4, 3, 2, 0), # 104
(14, 10, 12, 4, 8, 3, 5, 2, 3, 0, 3, 1, 0, 9, 2, 2, 6, 7, 6, 1, 4, 6, 2, 2, 1, 0), # 105
(9, 7, 7, 11, 15, 3, 3, 7, 6, 1, 1, 1, 0, 13, 10, 10, 7, 6, 3, 3, 5, 7, 0, 1, 2, 0), # 106
(9, 8, 12, 4, 8, 4, 3, 1, 2, 0, 0, 2, 0, 9, 12, 4, 2, 12, 3, 6, 3, 5, 3, 3, 0, 0), # 107
(14, 5, 10, 6, 7, 2, 2, 1, 5, 1, 3, 0, 0, 10, 3, 10, 7, 4, 3, 1, 8, 4, 3, 1, 1, 0), # 108
(9, 9, 3, 7, 7, 2, 2, 4, 5, 2, 3, 1, 0, 14, 6, 2, 5, 4, 1, 4, 1, 3, 2, 0, 0, 0), # 109
(10, 8, 11, 9, 10, 4, 1, 1, 4, 2, 4, 0, 0, 9, 8, 7, 8, 6, 3, 3, 6, 3, 5, 3, 0, 0), # 110
(10, 9, 7, 5, 7, 3, 0, 4, 4, 0, 0, 0, 0, 15, 7, 6, 5, 3, 6, 3, 3, 6, 5, 3, 0, 0), # 111
(11, 8, 9, 11, 6, 3, 3, 3, 5, 1, 1, 0, 0, 9, 8, 7, 4, 4, 4, 1, 1, 4, 1, 0, 2, 0), # 112
(5, 8, 8, 10, 7, 5, 4, 0, 5, 1, 0, 1, 0, 11, 5, 3, 1, 11, 4, 2, 2, 3, 3, 1, 1, 0), # 113
(6, 8, 9, 6, 10, 5, 1, 1, 7, 1, 2, 1, 0, 8, 10, 3, 2, 11, 3, 1, 2, 2, 2, 4, 1, 0), # 114
(9, 8, 6, 6, 7, 3, 4, 2, 3, 2, 1, 0, 0, 10, 2, 9, 6, 9, 1, 4, 1, 2, 3, 2, 1, 0), # 115
(10, 7, 5, 8, 11, 2, 4, 4, 5, 1, 1, 0, 0, 10, 11, 4, 6, 9, 8, 6, 2, 3, 3, 4, 0, 0), # 116
(14, 12, 8, 6, 8, 3, 5, 4, 1, 0, 1, 0, 0, 6, 6, 5, 2, 3, 6, 4, 2, 4, 2, 2, 1, 0), # 117
(4, 11, 5, 12, 3, 3, 5, 5, 3, 2, 0, 0, 0, 6, 9, 4, 7, 5, 1, 4, 3, 5, 2, 0, 0, 0), # 118
(8, 11, 4, 6, 3, 2, 2, 3, 2, 2, 0, 1, 0, 7, 6, 13, 10, 8, 2, 2, 3, 0, 2, 2, 1, 0), # 119
(6, 6, 10, 6, 8, 3, 3, 3, 3, 2, 4, 0, 0, 7, 5, 4, 4, 6, 2, 1, 2, 5, 4, 5, 0, 0), # 120
(8, 7, 7, 5, 10, 2, 6, 8, 6, 4, 1, 0, 0, 8, 4, 8, 7, 11, 2, 3, 3, 6, 0, 3, 0, 0), # 121
(13, 6, 9, 8, 2, 2, 2, 1, 6, 1, 1, 0, 0, 9, 9, 3, 4, 10, 3, 3, 4, 2, 1, 4, 0, 0), # 122
(9, 7, 9, 9, 8, 1, 7, 5, 5, 2, 0, 0, 0, 7, 4, 5, 5, 3, 6, 1, 2, 8, 5, 2, 0, 0), # 123
(7, 7, 5, 10, 3, 3, 3, 3, 3, 2, 0, 0, 0, 9, 3, 3, 6, 5, 3, 3, 2, 6, 3, 2, 3, 0), # 124
(14, 5, 6, 4, 13, 5, 1, 4, 3, 1, 0, 2, 0, 10, 6, 5, 7, 6, 4, 3, 2, 2, 1, 0, 1, 0), # 125
(8, 5, 6, 13, 10, 1, 7, 1, 2, 0, 1, 0, 0, 7, 6, 7, 5, 8, 6, 4, 4, 0, 1, 2, 1, 0), # 126
(9, 3, 10, 11, 2, 1, 5, 1, 0, 0, 2, 1, 0, 10, 6, 7, 3, 6, 2, 5, 5, 5, 1, 0, 0, 0), # 127
(14, 7, 9, 6, 7, 2, 2, 2, 4, 3, 1, 0, 0, 11, 4, 2, 6, 6, 6, 0, 1, 4, 4, 1, 0, 0), # 128
(8, 4, 7, 15, 6, 1, 0, 1, 2, 2, 0, 0, 0, 14, 8, 5, 1, 3, 3, 5, 1, 2, 7, 0, 0, 0), # 129
(6, 3, 6, 4, 10, 2, 6, 2, 3, 2, 0, 0, 0, 14, 8, 5, 0, 7, 2, 2, 1, 4, 2, 0, 0, 0), # 130
(11, 8, 9, 8, 6, 1, 1, 1, 6, 2, 0, 0, 0, 8, 3, 6, 7, 7, 2, 2, 2, 1, 3, 0, 1, 0), # 131
(8, 4, 10, 5, 7, 2, 1, 5, 1, 1, 0, 0, 0, 9, 14, 7, 5, 5, 2, 3, 2, 2, 0, 0, 0, 0), # 132
(8, 6, 8, 15, 10, 4, 1, 2, 4, 4, 2, 1, 0, 6, 11, 5, 5, 5, 4, 3, 1, 1, 0, 1, 0, 0), # 133
(8, 4, 8, 14, 7, 1, 2, 3, 1, 1, 1, 0, 0, 7, 11, 5, 2, 6, 4, 3, 4, 3, 0, 2, 0, 0), # 134
(5, 11, 4, 13, 10, 2, 3, 2, 2, 1, 1, 1, 0, 7, 8, 2, 2, 5, 4, 3, 5, 2, 2, 1, 2, 0), # 135
(9, 9, 4, 12, 2, 1, 3, 1, 7, 0, 3, 0, 0, 15, 9, 2, 4, 9, 1, 2, 1, 1, 3, 4, 0, 0), # 136
(12, 2, 7, 6, 6, 3, 5, 2, 3, 0, 0, 0, 0, 9, 4, 7, 5, 11, 1, 3, 4, 9, 1, 1, 1, 0), # 137
(9, 5, 4, 10, 6, 3, 2, 3, 2, 3, 1, 0, 0, 11, 5, 8, 2, 7, 5, 4, 2, 6, 4, 3, 0, 0), # 138
(9, 5, 6, 4, 7, 5, 3, 3, 2, 2, 0, 1, 0, 12, 6, 5, 6, 5, 2, 3, 0, 1, 4, 0, 0, 0), # 139
(11, 13, 4, 6, 5, 6, 3, 2, 7, 0, 3, 1, 0, 3, 4, 5, 4, 6, 7, 6, 4, 3, 2, 0, 1, 0), # 140
(9, 7, 7, 8, 9, 2, 1, 4, 5, 1, 0, 0, 0, 9, 5, 13, 5, 10, 2, 5, 2, 2, 3, 2, 1, 0), # 141
(8, 5, 6, 8, 7, 1, 5, 1, 6, 2, 0, 0, 0, 2, 0, 8, 2, 5, 1, 1, 4, 2, 4, 3, 0, 0), # 142
(9, 7, 6, 9, 11, 2, 1, 1, 2, 2, 1, 4, 0, 13, 3, 3, 2, 3, 4, 3, 5, 6, 2, 0, 3, 0), # 143
(15, 11, 7, 9, 8, 4, 3, 6, 2, 1, 0, 0, 0, 7, 4, 4, 1, 6, 2, 2, 3, 1, 5, 0, 1, 0), # 144
(14, 4, 5, 5, 8, 3, 3, 2, 3, 2, 0, 0, 0, 10, 10, 7, 4, 5, 4, 0, 1, 6, 6, 0, 0, 0), # 145
(10, 7, 7, 5, 6, 1, 2, 5, 4, 7, 0, 1, 0, 14, 10, 5, 3, 9, 4, 4, 4, 2, 3, 1, 1, 0), # 146
(6, 4, 4, 7, 6, 1, 0, 2, 2, 1, 3, 2, 0, 8, 6, 7, 3, 6, 2, 3, 3, 2, 3, 1, 0, 0), # 147
(11, 3, 8, 5, 4, 3, 4, 1, 3, 4, 4, 0, 0, 11, 6, 2, 5, 9, 2, 1, 1, 6, 3, 2, 0, 0), # 148
(12, 7, 10, 8, 4, 2, 4, 2, 6, 1, 0, 0, 0, 8, 10, 3, 2, 5, 1, 2, 2, 1, 1, 1, 1, 0), # 149
(4, 2, 8, 11, 6, 3, 1, 6, 0, 2, 3, 3, 0, 8, 8, 5, 2, 9, 3, 3, 6, 4, 1, 1, 0, 0), # 150
(5, 4, 1, 4, 4, 2, 1, 3, 3, 1, 0, 2, 0, 10, 5, 5, 4, 5, 6, 2, 4, 3, 3, 2, 0, 0), # 151
(4, 5, 5, 7, 7, 2, 1, 2, 5, 0, 0, 1, 0, 14, 12, 3, 4, 5, 3, 1, 1, 1, 2, 1, 1, 0), # 152
(6, 1, 9, 9, 5, 1, 2, 1, 2, 0, 0, 0, 0, 12, 8, 8, 1, 7, 7, 3, 0, 3, 1, 2, 0, 0), # 153
(8, 4, 11, 8, 3, 4, 0, 4, 3, 3, 0, 1, 0, 7, 3, 6, 5, 6, 6, 4, 1, 5, 2, 1, 0, 0), # 154
(8, 7, 10, 3, 6, 6, 2, 1, 1, 2, 3, 0, 0, 11, 14, 8, 6, 5, 2, 2, 2, 2, 3, 0, 0, 0), # 155
(5, 10, 5, 8, 3, 2, 2, 4, 2, 0, 1, 1, 0, 10, 7, 4, 3, 3, 4, 3, 1, 5, 3, 1, 0, 0), # 156
(8, 10, 7, 7, 9, 0, 3, 1, 3, 2, 0, 2, 0, 8, 8, 7, 4, 5, 0, 1, 3, 3, 3, 0, 0, 0), # 157
(8, 2, 5, 11, 5, 1, 1, 1, 3, 1, 1, 0, 0, 4, 3, 11, 6, 4, 3, 4, 3, 5, 3, 1, 0, 0), # 158
(10, 5, 5, 4, 6, 6, 1, 0, 3, 2, 1, 1, 0, 7, 5, 5, 4, 7, 5, 3, 2, 1, 3, 2, 0, 0), # 159
(7, 4, 8, 5, 5, 3, 1, 3, 4, 0, 1, 1, 0, 12, 7, 3, 6, 11, 2, 1, 3, 5, 1, 3, 0, 0), # 160
(4, 4, 4, 3, 8, 3, 1, 4, 7, 1, 1, 2, 0, 4, 8, 5, 5, 8, 5, 2, 1, 2, 4, 0, 1, 0), # 161
(6, 3, 6, 10, 7, 4, 2, 1, 4, 2, 1, 0, 0, 4, 6, 6, 1, 12, 3, 3, 1, 2, 1, 0, 0, 0), # 162
(10, 10, 4, 3, 3, 6, 3, 4, 2, 0, 0, 0, 0, 5, 8, 4, 4, 8, 3, 1, 4, 2, 2, 0, 0, 0), # 163
(11, 2, 8, 9, 6, 1, 5, 1, 3, 0, 3, 0, 0, 1, 5, 3, 6, 4, 2, 1, 2, 4, 4, 0, 1, 0), # 164
(5, 6, 9, 7, 3, 1, 3, 2, 2, 1, 1, 0, 0, 10, 6, 3, 3, 9, 2, 1, 2, 4, 3, 0, 0, 0), # 165
(6, 4, 4, 5, 6, 4, 1, 1, 4, 1, 0, 3, 0, 3, 5, 4, 0, 10, 5, 0, 3, 4, 0, 1, 1, 0), # 166
(6, 1, 6, 7, 4, 1, 1, 0, 2, 2, 0, 1, 0, 4, 6, 3, 5, 7, 5, 1, 2, 4, 3, 0, 0, 0), # 167
(1, 5, 3, 5, 4, 3, 2, 3, 0, 1, 0, 0, 0, 8, 5, 6, 5, 4, 2, 0, 0, 1, 5, 1, 0, 0), # 168
(9, 3, 10, 5, 6, 0, 5, 3, 3, 1, 0, 0, 0, 8, 6, 2, 4, 9, 0, 2, 2, 4, 2, 0, 0, 0), # 169
(10, 3, 8, 7, 5, 4, 3, 3, 1, 0, 0, 0, 0, 1, 3, 3, 2, 5, 3, 3, 1, 0, 3, 0, 2, 0), # 170
(4, 2, 6, 3, 1, 2, 2, 0, 4, 0, 1, 0, 0, 8, 5, 4, 4, 3, 0, 2, 1, 5, 3, 0, 0, 0), # 171
(3, 5, 4, 1, 0, 2, 3, 0, 4, 2, 1, 0, 0, 5, 6, 2, 1, 5, 3, 3, 4, 2, 2, 0, 0, 0), # 172
(7, 2, 3, 4, 5, 2, 1, 2, 3, 3, 0, 0, 0, 7, 3, 2, 5, 4, 0, 1, 1, 1, 2, 0, 1, 0), # 173
(5, 2, 5, 6, 1, 4, 3, 0, 4, 0, 1, 0, 0, 7, 6, 1, 7, 4, 1, 2, 1, 2, 1, 1, 0, 0), # 174
(4, 3, 7, 2, 5, 3, 1, 3, 3, 0, 1, 0, 0, 3, 5, 7, 2, 6, 1, 0, 0, 1, 1, 1, 0, 0), # 175
(2, 2, 5, 2, 7, 1, 3, 1, 3, 2, 0, 0, 0, 11, 5, 1, 1, 5, 2, 1, 1, 1, 4, 0, 0, 0), # 176
(1, 0, 7, 3, 5, 3, 1, 0, 2, 1, 0, 1, 0, 6, 1, 1, 4, 4, 2, 2, 2, 2, 4, 0, 0, 0), # 177
(1, 4, 5, 3, 3, 0, 0, 2, 1, 1, 0, 0, 0, 5, 3, 3, 1, 6, 2, 1, 0, 2, 1, 1, 0, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(5.020865578371768, 5.525288559693166, 5.211283229612507, 6.214667773863432, 5.554685607609612, 3.1386549320373387, 4.146035615373915, 4.653176172979423, 6.090099062168007, 3.9580150155223697, 4.205265163885603, 4.897915078306173, 5.083880212578363), # 0
(5.354327152019974, 5.890060694144759, 5.555346591330152, 6.625144253276616, 5.922490337474237, 3.3459835840425556, 4.419468941263694, 4.959513722905708, 6.492245326332909, 4.21898069227715, 4.483096135956131, 5.221216660814354, 5.419791647439855), # 1
(5.686723008979731, 6.253385170890979, 5.8980422855474135, 7.033987704664794, 6.288962973749744, 3.5524851145124448, 4.691818507960704, 5.264625247904419, 6.892786806877549, 4.478913775020546, 4.759823148776313, 5.543232652053055, 5.75436482820969), # 2
(6.016757793146562, 6.613820501936447, 6.238010869319854, 7.439576407532074, 6.652661676001902, 3.757340622585113, 4.962003641647955, 5.567301157494507, 7.290135160921093, 4.736782698426181, 5.0343484118273825, 5.862685684930461, 6.086272806254225), # 3
(6.343136148415981, 6.9699251992857745, 6.573892899703036, 7.840288641382569, 7.012144603796492, 3.9597312073986677, 5.2289436685084585, 5.866331861194915, 7.682702045582707, 4.991555897167679, 5.305574134590575, 6.178298392354764, 6.414188632939817), # 4
(6.66456271868351, 7.320257774943588, 6.9043289337525175, 8.234502685720393, 7.36596991669928, 4.158837968091214, 5.491557914725224, 6.160507768524592, 8.068899117981559, 5.242201805918663, 5.572402526547132, 6.488793407234148, 6.736785359632827), # 5
(6.979742147844666, 7.663376740914501, 7.227959528523866, 8.620596820049652, 7.712695774276043, 4.353842003800864, 5.7487657064812625, 6.4486192890024885, 8.447138035236815, 5.487688859352758, 5.833735797178282, 6.792893362476808, 7.052736037699606), # 6
(7.2873790797949685, 7.997840609203132, 7.543425241072635, 8.996949323874462, 8.050880336092554, 4.543924413665721, 5.999486369959585, 6.729456832147552, 8.815830454467644, 5.726985492143586, 6.088476155965268, 7.089320890990929, 7.360713718506519), # 7
(7.586178158429934, 8.322207891814099, 7.849366628454396, 9.361938476698928, 8.379081761714586, 4.7282662968238895, 6.2426392313431975, 7.001810807478725, 9.173388032793206, 5.959060138964774, 6.335525812389321, 7.376798625684702, 7.659391453419917), # 8
(7.874844027645085, 8.635037100752022, 8.144424247724704, 9.713942558027169, 8.69585821070791, 4.906048752413484, 6.47714361681512, 7.264471624514963, 9.518222427332674, 6.182881234489941, 6.573786975931678, 7.654049199466313, 7.947442293806162), # 9
(8.152081331335932, 8.934886748021516, 8.427238655939124, 10.051339847363288, 8.9997678426383, 5.076452879572607, 6.701918852558355, 7.516229692775211, 9.848745295205214, 6.397417213392714, 6.802161856073574, 7.919795245243952, 8.22353929103161), # 10
(8.416594713398005, 9.220315345627206, 8.696450410153215, 10.372508624211397, 9.289368817071534, 5.238659777439368, 6.915884264755916, 7.7558754217784145, 10.163368293529993, 6.601636510346719, 7.019552662296249, 8.17275939592581, 8.486355496462611), # 11
(8.667088817726812, 9.489881405573698, 8.95070006742254, 10.675827168075612, 9.563219293573377, 5.391850545151869, 7.1179591795908115, 7.982199221043521, 10.460503079426179, 6.794507560025572, 7.224861604080934, 8.411664284420068, 8.734563961465534), # 12
(8.902268288217876, 9.74214343986562, 9.188628184802662, 10.959673758460044, 9.819877431709601, 5.5352062818482235, 7.307062923246056, 8.193991500089481, 10.738561310012932, 6.974998797102904, 7.416990890908869, 8.63523254363492, 8.966837737406735), # 13
(9.120837768766716, 9.975659960507588, 9.408875319349146, 11.222426674868792, 10.05790139104599, 5.667908086666534, 7.482114821904661, 8.390042668435246, 10.995954642409421, 7.142078656252334, 7.594842732261284, 8.84218680647856, 9.181849875652563), # 14
(9.321501903268855, 10.188989479504217, 9.610082028117542, 11.462464196805985, 10.275849331148308, 5.789137058744912, 7.642034201749626, 8.569143135599756, 11.23109473373482, 7.29471557214749, 7.757319337619419, 9.031249705859171, 9.37827342756938), # 15
(9.5029653356198, 10.380690508860132, 9.790888868163425, 11.678164603775716, 10.472279411582333, 5.898074297221459, 7.785740388963976, 8.73008331110196, 11.442393241108286, 7.431877979461996, 7.9033229164645125, 9.20114387468494, 9.554781444523545), # 16
(9.663932709715075, 10.549321560579946, 9.949936396542352, 11.867906175282112, 10.645749791913838, 5.993900901234285, 7.9121527097307105, 8.871653604460818, 11.628261821648984, 7.552534312869467, 8.031755678277799, 9.350591945864055, 9.710046977881415), # 17
(9.803108669450204, 10.693441146668274, 10.08586517030988, 12.030067190829278, 10.794818631708589, 6.075797969921503, 8.020190490232851, 8.99264442519526, 11.787112132476096, 7.6556530070435365, 8.141519832540508, 9.478316552304715, 9.842743079009345), # 18
(9.919197858720699, 10.811607779129744, 10.197315746521578, 12.163025929921314, 10.918044090532366, 6.142946602421208, 8.108773056653394, 9.091846182824245, 11.917355830708779, 7.740202496657828, 8.231517588733878, 9.583040326915096, 9.951542799273696), # 19
(10.010904921422082, 10.902379969968962, 10.282928682233003, 12.265160672062354, 11.013984327950944, 6.194527897871518, 8.176819735175362, 9.168049286866717, 12.017404573466198, 7.805151216385958, 8.30065115633915, 9.66348590260339, 10.035119190040824), # 20
(10.076934501449866, 10.964316231190558, 10.341344534499719, 12.334849696756486, 11.081197503530088, 6.229722955410535, 8.223249851981759, 9.220044146841623, 12.085670017867521, 7.849467600901555, 8.34782274483756, 9.718375912277793, 10.092145302677078), # 21
(10.115991242699579, 10.995975074799144, 10.371203860377285, 12.370471283507836, 11.118241776835575, 6.247712874176367, 8.2469827332556, 9.246621172267915, 12.120563821031915, 7.872120084878242, 8.37193456371034, 9.74643298884649, 10.121294188548827), # 22
(10.13039336334264, 10.999723593964335, 10.374923182441702, 12.374930812757203, 11.127732056032597, 6.25, 8.249804002259339, 9.249493827160494, 12.124926234567901, 7.874792272519433, 8.37495803716174, 9.749897576588934, 10.125), # 23
(10.141012413034153, 10.997537037037038, 10.374314814814815, 12.374381944444446, 11.133107613614852, 6.25, 8.248253812636166, 9.2455, 12.124341666666666, 7.87315061728395, 8.37462457912458, 9.749086419753086, 10.125), # 24
(10.15140723021158, 10.993227023319616, 10.373113854595337, 12.373296039094651, 11.138364945594503, 6.25, 8.24519890260631, 9.237654320987655, 12.123186728395062, 7.869918838591678, 8.373963399426362, 9.747485139460448, 10.125), # 25
(10.161577019048034, 10.986859396433472, 10.371336762688616, 12.37168544238683, 11.143503868421105, 6.25, 8.240686718308721, 9.226104938271606, 12.1214762345679, 7.865150708733425, 8.372980483850855, 9.745115683584821, 10.125), # 26
(10.171520983716636, 10.978499999999999, 10.369, 12.369562499999999, 11.148524198544214, 6.25, 8.234764705882354, 9.211, 12.119225, 7.858899999999999, 8.371681818181818, 9.742, 10.125), # 27
(10.181238328390501, 10.968214677640603, 10.366120027434842, 12.366939557613168, 11.153425752413401, 6.25, 8.22748031146615, 9.192487654320988, 12.116447839506172, 7.851220484682213, 8.370073388203018, 9.73816003657979, 10.125), # 28
(10.19072825724275, 10.95606927297668, 10.362713305898492, 12.36382896090535, 11.15820834647822, 6.25, 8.218880981199066, 9.170716049382715, 12.113159567901235, 7.842165935070874, 8.368161179698216, 9.733617741197987, 10.125), # 29
(10.199989974446497, 10.94212962962963, 10.358796296296296, 12.360243055555555, 11.162871797188236, 6.25, 8.209014161220043, 9.145833333333332, 12.109375, 7.83179012345679, 8.365951178451178, 9.728395061728394, 10.125), # 30
(10.209022684174858, 10.926461591220852, 10.354385459533608, 12.356194187242798, 11.167415920993008, 6.25, 8.19792729766804, 9.117987654320988, 12.105108950617284, 7.820146822130773, 8.363449370245666, 9.722513946044812, 10.125), # 31
(10.217825590600954, 10.909131001371742, 10.349497256515773, 12.35169470164609, 11.171840534342095, 6.25, 8.185667836681999, 9.087327160493828, 12.100376234567902, 7.807289803383631, 8.360661740865444, 9.715996342021034, 10.125), # 32
(10.226397897897897, 10.890203703703703, 10.344148148148149, 12.346756944444444, 11.176145453685063, 6.25, 8.172283224400871, 9.054, 12.095191666666667, 7.793272839506173, 8.357594276094275, 9.708864197530863, 10.125), # 33
(10.23473881023881, 10.869745541838133, 10.338354595336076, 12.341393261316872, 11.180330495471466, 6.25, 8.15782090696361, 9.018154320987653, 12.089570061728397, 7.778149702789209, 8.354252961715924, 9.701139460448102, 10.125), # 34
(10.242847531796807, 10.847822359396433, 10.332133058984912, 12.335615997942385, 11.18439547615087, 6.25, 8.142328330509159, 8.979938271604938, 12.083526234567902, 7.761974165523548, 8.350643783514153, 9.692844078646548, 10.125), # 35
(10.250723266745005, 10.824499999999999, 10.3255, 12.3294375, 11.188340212172836, 6.25, 8.12585294117647, 8.9395, 12.077074999999999, 7.7448, 8.346772727272727, 9.684000000000001, 10.125), # 36
(10.258365219256524, 10.799844307270233, 10.318471879286694, 12.322870113168724, 11.192164519986921, 6.25, 8.108442185104494, 8.896987654320988, 12.070231172839506, 7.726680978509374, 8.34264577877541, 9.674629172382259, 10.125), # 37
(10.265772593504476, 10.773921124828533, 10.311065157750342, 12.315926183127573, 11.19586821604269, 6.25, 8.09014350843218, 8.85254938271605, 12.063009567901235, 7.707670873342479, 8.33826892380596, 9.664753543667125, 10.125), # 38
(10.272944593661986, 10.746796296296296, 10.303296296296297, 12.308618055555556, 11.199451116789703, 6.25, 8.071004357298476, 8.806333333333333, 12.055425000000001, 7.687823456790124, 8.333648148148148, 9.654395061728394, 10.125), # 39
(10.279880423902163, 10.718535665294924, 10.295181755829903, 12.300958076131687, 11.202913038677519, 6.25, 8.05107217784233, 8.758487654320989, 12.047492283950618, 7.667192501143119, 8.328789437585733, 9.643575674439873, 10.125), # 40
(10.286579288398128, 10.689205075445816, 10.286737997256516, 12.29295859053498, 11.206253798155702, 6.25, 8.030394416202695, 8.709160493827161, 12.0392262345679, 7.645831778692272, 8.323698777902482, 9.632317329675354, 10.125), # 41
(10.293040391323, 10.658870370370371, 10.277981481481483, 12.284631944444445, 11.209473211673808, 6.25, 8.009018518518518, 8.6585, 12.030641666666668, 7.623795061728395, 8.318382154882155, 9.620641975308642, 10.125), # 42
(10.299262936849892, 10.627597393689987, 10.268928669410151, 12.275990483539095, 11.212571095681403, 6.25, 7.98699193092875, 8.606654320987655, 12.021753395061728, 7.601136122542296, 8.312845554308517, 9.608571559213535, 10.125), # 43
(10.305246129151927, 10.595451989026063, 10.259596021947875, 12.267046553497943, 11.215547266628045, 6.25, 7.964362099572339, 8.553771604938273, 12.0125762345679, 7.577908733424783, 8.307094961965332, 9.596128029263832, 10.125), # 44
(10.310989172402216, 10.5625, 10.25, 12.2578125, 11.218401540963296, 6.25, 7.9411764705882355, 8.5, 12.003124999999999, 7.554166666666667, 8.301136363636363, 9.583333333333332, 10.125), # 45
(10.31649127077388, 10.528807270233196, 10.240157064471878, 12.24830066872428, 11.221133735136716, 6.25, 7.917482490115388, 8.445487654320988, 11.993414506172838, 7.529963694558756, 8.294975745105374, 9.57020941929584, 10.125), # 46
(10.321751628440035, 10.49443964334705, 10.230083676268862, 12.238523405349794, 11.223743665597867, 6.25, 7.893327604292747, 8.390382716049382, 11.983459567901235, 7.505353589391861, 8.288619092156129, 9.55677823502515, 10.125), # 47
(10.326769449573796, 10.459462962962963, 10.219796296296296, 12.228493055555557, 11.22623114879631, 6.25, 7.868759259259259, 8.334833333333334, 11.973275000000001, 7.4803901234567896, 8.28207239057239, 9.543061728395061, 10.125), # 48
(10.331543938348286, 10.42394307270233, 10.209311385459534, 12.218221965020577, 11.228596001181607, 6.25, 7.8438249011538765, 8.278987654320987, 11.96287561728395, 7.455127069044353, 8.275341626137923, 9.529081847279379, 10.125), # 49
(10.336074298936616, 10.387945816186559, 10.198645404663925, 12.207722479423868, 11.230838039203315, 6.25, 7.81857197611555, 8.222993827160494, 11.9522762345679, 7.429618198445358, 8.268432784636488, 9.514860539551899, 10.125), # 50
(10.34035973551191, 10.351537037037037, 10.187814814814814, 12.197006944444444, 11.232957079310998, 6.25, 7.793047930283224, 8.167, 11.941491666666668, 7.403917283950617, 8.261351851851853, 9.50041975308642, 10.125), # 51
(10.344399452247279, 10.314782578875173, 10.176836076817558, 12.186087705761317, 11.234952937954214, 6.25, 7.767300209795852, 8.111154320987653, 11.930536728395062, 7.3780780978509375, 8.254104813567777, 9.485781435756746, 10.125), # 52
(10.348192653315843, 10.27774828532236, 10.165725651577505, 12.174977109053497, 11.23682543158253, 6.25, 7.741376260792383, 8.055604938271605, 11.919426234567903, 7.3521544124371285, 8.246697655568026, 9.470967535436671, 10.125), # 53
(10.351738542890716, 10.2405, 10.154499999999999, 12.1636875, 11.238574376645502, 6.25, 7.715323529411765, 8.000499999999999, 11.908175, 7.3262, 8.239136363636362, 9.456, 10.125), # 54
(10.355036325145022, 10.203103566529492, 10.143175582990398, 12.152231224279834, 11.24019958959269, 6.25, 7.689189461792948, 7.945987654320987, 11.896797839506172, 7.300268632830361, 8.231426923556553, 9.44090077732053, 10.125), # 55
(10.358085204251871, 10.165624828532236, 10.131768861454047, 12.140620627572016, 11.241700886873659, 6.25, 7.663021504074881, 7.892216049382716, 11.885309567901235, 7.274414083219022, 8.223575321112358, 9.425691815272062, 10.125), # 56
(10.360884384384383, 10.12812962962963, 10.120296296296297, 12.128868055555555, 11.243078084937967, 6.25, 7.636867102396514, 7.839333333333334, 11.873725, 7.24869012345679, 8.215587542087542, 9.410395061728394, 10.125), # 57
(10.36343306971568, 10.090683813443073, 10.108774348422497, 12.116985853909464, 11.244331000235174, 6.25, 7.610773702896797, 7.787487654320987, 11.862058950617284, 7.223150525834477, 8.20746957226587, 9.395032464563329, 10.125), # 58
(10.36573046441887, 10.053353223593964, 10.097219478737998, 12.104986368312757, 11.245459449214845, 6.25, 7.584788751714678, 7.736827160493827, 11.850326234567902, 7.197849062642891, 8.1992273974311, 9.379625971650663, 10.125), # 59
(10.367775772667077, 10.016203703703704, 10.085648148148147, 12.092881944444445, 11.246463248326537, 6.25, 7.558959694989106, 7.6875, 11.838541666666668, 7.172839506172839, 8.190867003367003, 9.364197530864198, 10.125), # 60
(10.369568198633415, 9.97930109739369, 10.0740768175583, 12.080684927983539, 11.247342214019811, 6.25, 7.533333978859033, 7.639654320987654, 11.826720061728395, 7.148175628715135, 8.182394375857339, 9.348769090077733, 10.125), # 61
(10.371106946491004, 9.942711248285322, 10.062521947873801, 12.068407664609055, 11.248096162744234, 6.25, 7.507959049463406, 7.5934382716049384, 11.814876234567901, 7.123911202560586, 8.17381550068587, 9.333362597165067, 10.125), # 62
(10.37239122041296, 9.9065, 10.051, 12.056062500000001, 11.248724910949356, 6.25, 7.482882352941176, 7.549, 11.803025, 7.100099999999999, 8.165136363636364, 9.318, 10.125), # 63
(10.373420224572397, 9.870733196159122, 10.039527434842249, 12.043661779835391, 11.249228275084748, 6.25, 7.458151335431292, 7.506487654320988, 11.791181172839506, 7.076795793324188, 8.156362950492579, 9.302703246456334, 10.125), # 64
(10.374193163142438, 9.835476680384087, 10.0281207133059, 12.031217849794238, 11.249606071599967, 6.25, 7.433813443072703, 7.466049382716049, 11.779359567901235, 7.054052354823959, 8.147501247038285, 9.287494284407863, 10.125), # 65
(10.374709240296196, 9.800796296296298, 10.016796296296297, 12.018743055555555, 11.249858116944573, 6.25, 7.409916122004357, 7.427833333333334, 11.767575, 7.031923456790123, 8.138557239057238, 9.272395061728396, 10.125), # 66
(10.374967660206792, 9.766757887517146, 10.005570644718793, 12.006249742798353, 11.24998422756813, 6.25, 7.386506818365206, 7.391987654320989, 11.755842283950617, 7.010462871513489, 8.12953691233321, 9.257427526291723, 10.125), # 67
(10.374791614480825, 9.733248639320323, 9.994405949931412, 11.993641740472357, 11.249877955297345, 6.2498840115836, 7.363515194829646, 7.358343850022862, 11.744087848651121, 6.989620441647166, 8.120285988540376, 9.242530021899743, 10.124875150034294), # 68
(10.373141706924315, 9.699245519713262, 9.982988425925925, 11.980283514492752, 11.248910675381262, 6.248967078189301, 7.340268181346613, 7.325098765432099, 11.731797839506173, 6.968806390704429, 8.10986283891547, 9.227218973359324, 10.12388599537037), # 69
(10.369885787558895, 9.664592459843355, 9.971268432784635, 11.966087124261943, 11.246999314128942, 6.247161255906112, 7.31666013456137, 7.291952446273434, 11.718902892089622, 6.947919524462734, 8.09814888652608, 9.211422761292809, 10.121932334533609), # 70
(10.365069660642929, 9.62931016859153, 9.959250085733881, 11.951073503757382, 11.244168078754136, 6.244495808565767, 7.292701659538988, 7.258915866483768, 11.705422210791038, 6.926960359342639, 8.085187370783862, 9.195152937212715, 10.119039887688615), # 71
(10.358739130434783, 9.593419354838709, 9.946937499999999, 11.935263586956522, 11.240441176470588, 6.2410000000000005, 7.268403361344538, 7.226, 11.691375, 6.905929411764705, 8.07102153110048, 9.17842105263158, 10.115234375), # 72
(10.35094000119282, 9.556940727465816, 9.934334790809327, 11.918678307836823, 11.23584281449205, 6.236703094040542, 7.243775845043092, 7.193215820759031, 11.676780464106082, 6.884827198149493, 8.055694606887588, 9.161238659061919, 10.110541516632374), # 73
(10.341718077175404, 9.519894995353777, 9.921446073388202, 11.901338600375738, 11.230397200032275, 6.231634354519128, 7.218829715699722, 7.160574302697759, 11.661657807498857, 6.863654234917561, 8.039249837556856, 9.143617308016267, 10.104987032750344), # 74
(10.331119162640901, 9.482302867383511, 9.908275462962962, 11.883265398550725, 11.224128540305012, 6.22582304526749, 7.1935755783795, 7.128086419753086, 11.6460262345679, 6.84241103848947, 8.021730462519935, 9.125568551007147, 10.098596643518519), # 75
(10.319189061847677, 9.44418505243595, 9.894827074759945, 11.864479636339238, 11.217061042524005, 6.219298430117361, 7.168024038147495, 7.095763145861912, 11.629904949702789, 6.821098125285779, 8.003179721188491, 9.107103939547082, 10.091396069101508), # 76
(10.305973579054093, 9.40556225939201, 9.881105024005485, 11.845002247718732, 11.209218913903008, 6.212089772900472, 7.142185700068779, 7.063615454961135, 11.613313157293096, 6.7997160117270505, 7.983640852974187, 9.088235025148606, 10.083411029663925), # 77
(10.291518518518519, 9.366455197132618, 9.867113425925925, 11.824854166666666, 11.200626361655774, 6.204226337448559, 7.116071169208425, 7.031654320987655, 11.596270061728394, 6.7782652142338415, 7.9631570972886765, 9.068973359324238, 10.074667245370371), # 78
(10.275869684499314, 9.326884574538697, 9.8528563957476, 11.804056327160493, 11.191307592996047, 6.195737387593354, 7.089691050631501, 6.9998907178783725, 11.578794867398262, 6.756746249226714, 7.941771693543622, 9.049330493586504, 10.065190436385459), # 79
(10.259072881254847, 9.286871100491172, 9.838338048696844, 11.782629663177671, 11.181286815137579, 6.18665218716659, 7.063055949403081, 6.968335619570188, 11.560906778692273, 6.7351596331262265, 7.919527881150688, 9.029317979447935, 10.0550063228738), # 80
(10.241173913043479, 9.246435483870968, 9.8235625, 11.760595108695654, 11.170588235294117, 6.177, 7.036176470588235, 6.937, 11.542625, 6.713505882352941, 7.8964688995215315, 9.008947368421053, 10.044140624999999), # 81
(10.222218584123576, 9.205598433559008, 9.808533864883403, 11.737973597691894, 11.159236060679415, 6.166810089925317, 7.009063219252036, 6.90589483310471, 11.52396873571102, 6.691785513327416, 7.872637988067813, 8.988230212018387, 10.03261906292867), # 82
(10.202252698753504, 9.164380658436214, 9.793256258573388, 11.714786064143853, 11.147254498507221, 6.156111720774272, 6.981726800459553, 6.875031092821216, 11.504957190214906, 6.669999042470211, 7.848078386201194, 8.967178061752461, 10.020467356824417), # 83
(10.181322061191626, 9.122802867383513, 9.777733796296296, 11.691053442028986, 11.134667755991286, 6.144934156378601, 6.954177819275858, 6.844419753086419, 11.485609567901234, 6.648146986201889, 7.822833333333333, 8.945802469135803, 10.007711226851852), # 84
(10.159472475696308, 9.080885769281826, 9.761970593278463, 11.666796665324746, 11.121500040345357, 6.133306660570035, 6.926426880766024, 6.814071787837221, 11.465945073159578, 6.626229860943005, 7.796946068875894, 8.924114985680937, 9.994376393175584), # 85
(10.136749746525913, 9.03865007301208, 9.745970764746229, 11.64203666800859, 11.107775558783183, 6.121258497180309, 6.89848458999512, 6.783998171010516, 11.445982910379517, 6.604248183114124, 7.770459832240534, 8.902127162900394, 9.98048857596022), # 86
(10.113199677938807, 8.996116487455197, 9.729738425925925, 11.61679438405797, 11.09351851851852, 6.108818930041152, 6.870361552028219, 6.75420987654321, 11.425742283950619, 6.582202469135802, 7.743417862838915, 8.879850552306692, 9.96607349537037), # 87
(10.088868074193357, 8.9533057214921, 9.713277692043896, 11.59109074745035, 11.07875312676511, 6.096017222984301, 6.842068371930391, 6.724717878372199, 11.40524239826246, 6.560093235428601, 7.715863400082698, 8.857296705412365, 9.951156871570646), # 88
(10.063800739547922, 8.910238484003717, 9.696592678326475, 11.564946692163177, 11.063503590736707, 6.082882639841488, 6.813615654766708, 6.695533150434385, 11.384502457704619, 6.537920998413083, 7.687839683383544, 8.834477173729935, 9.935764424725651), # 89
(10.03804347826087, 8.866935483870968, 9.6796875, 11.538383152173914, 11.04779411764706, 6.069444444444445, 6.785014005602241, 6.666666666666666, 11.363541666666668, 6.515686274509804, 7.65938995215311, 8.81140350877193, 9.919921875), # 90
(10.011642094590563, 8.823417429974777, 9.662566272290809, 11.511421061460013, 11.031648914709915, 6.055731900624904, 6.756274029502062, 6.638129401005944, 11.342379229538182, 6.4933895801393255, 7.63055744580306, 8.788087262050874, 9.903654942558298), # 91
(9.984642392795372, 8.779705031196071, 9.64523311042524, 11.484081353998926, 11.015092189139029, 6.041774272214601, 6.727406331531242, 6.609932327389118, 11.321034350708734, 6.471031431722209, 7.601385403745053, 8.764539985079297, 9.886989347565157), # 92
(9.957090177133654, 8.735818996415771, 9.62769212962963, 11.456384963768118, 10.998148148148148, 6.027600823045267, 6.69842151675485, 6.582086419753087, 11.299526234567901, 6.448612345679011, 7.57191706539075, 8.74077322936972, 9.869950810185184), # 93
(9.92903125186378, 8.691780034514801, 9.609947445130317, 11.428352824745035, 10.98084099895102, 6.0132408169486355, 6.669330190237961, 6.554602652034752, 11.277874085505259, 6.426132838430297, 7.54219567015181, 8.716798546434674, 9.85256505058299), # 94
(9.90051142124411, 8.647608854374088, 9.592003172153635, 11.400005870907139, 10.963194948761398, 5.9987235177564395, 6.640142957045644, 6.527491998171011, 11.25609710791038, 6.403593426396621, 7.512264457439896, 8.69262748778668, 9.834857788923182), # 95
(9.871576489533012, 8.603326164874554, 9.573863425925927, 11.371365036231884, 10.945234204793028, 5.984078189300411, 6.610870422242971, 6.500765432098766, 11.234214506172838, 6.3809946259985475, 7.482166666666667, 8.668271604938273, 9.816854745370371), # 96
(9.842272260988848, 8.558952674897121, 9.555532321673525, 11.342451254696725, 10.926982974259664, 5.969334095412284, 6.581523190895013, 6.474433927754916, 11.212245484682214, 6.358336953656634, 7.451945537243782, 8.64374244940197, 9.798581640089164), # 97
(9.812644539869984, 8.514509093322713, 9.53701397462277, 11.31328546027912, 10.908465464375052, 5.954520499923793, 6.552111868066842, 6.44850845907636, 11.190209247828074, 6.335620925791441, 7.421644308582906, 8.619051572690298, 9.78006419324417), # 98
(9.782739130434782, 8.470016129032258, 9.5183125, 11.283888586956522, 10.889705882352942, 5.939666666666667, 6.52264705882353, 6.423, 11.168125, 6.312847058823529, 7.391306220095694, 8.59421052631579, 9.761328125), # 99
(9.752601836941611, 8.425494490906676, 9.49943201303155, 11.254281568706388, 10.870728435407084, 5.924801859472641, 6.493139368230145, 6.3979195244627345, 11.146011945587563, 6.290015869173458, 7.36097451119381, 8.569230861790967, 9.742399155521262), # 100
(9.722278463648834, 8.380964887826895, 9.480376628943759, 11.224485339506174, 10.85155733075123, 5.909955342173449, 6.463599401351762, 6.3732780064014625, 11.123889288980338, 6.267127873261788, 7.330692421288912, 8.544124130628353, 9.723303004972564), # 101
(9.691814814814816, 8.336448028673836, 9.461150462962962, 11.194520833333334, 10.832216775599129, 5.895156378600824, 6.43403776325345, 6.349086419753086, 11.1017762345679, 6.244183587509078, 7.300503189792663, 8.518901884340481, 9.704065393518519), # 102
(9.661256694697919, 8.291964622328422, 9.4417576303155, 11.164408984165325, 10.812730977164529, 5.880434232586496, 6.40446505900028, 6.325355738454504, 11.079691986739826, 6.221183528335889, 7.270450056116723, 8.493575674439873, 9.68471204132373), # 103
(9.63064990755651, 8.247535377671579, 9.422202246227709, 11.134170725979603, 10.79312414266118, 5.865818167962201, 6.374891893657326, 6.302096936442616, 11.057655749885688, 6.19812821216278, 7.24057625967275, 8.468157052439054, 9.665268668552812), # 104
(9.600040257648953, 8.203181003584229, 9.402488425925926, 11.103826992753623, 10.773420479302832, 5.851337448559671, 6.345328872289658, 6.279320987654321, 11.035686728395062, 6.175018155410313, 7.210925039872408, 8.442657569850553, 9.64576099537037), # 105
(9.569473549233614, 8.158922208947299, 9.382620284636488, 11.073398718464842, 10.753644194303236, 5.837021338210638, 6.315786599962345, 6.25703886602652, 11.01380412665752, 6.151853874499045, 7.181539636127355, 8.417088778186894, 9.626214741941014), # 106
(9.538995586568856, 8.11477970264171, 9.362601937585735, 11.042906837090714, 10.733819494876139, 5.822899100746838, 6.286275681740461, 6.235261545496114, 10.992027149062643, 6.128635885849539, 7.152463287849252, 8.391462228960604, 9.606655628429355), # 107
(9.508652173913044, 8.070774193548388, 9.3424375, 11.012372282608696, 10.713970588235293, 5.809, 6.256806722689075, 6.214, 10.970375, 6.105364705882353, 7.1237392344497605, 8.365789473684211, 9.587109375), # 108
(9.478489115524543, 8.026926390548255, 9.322131087105625, 10.98181598899624, 10.69412168159445, 5.795353299801859, 6.227390327873262, 6.193265203475081, 10.948866883859168, 6.082040851018047, 7.09541071534054, 8.340082063870238, 9.567601701817559), # 109
(9.448552215661715, 7.983257002522237, 9.301686814128946, 10.951258890230811, 10.674296982167354, 5.7819882639841484, 6.198037102358089, 6.173068129858253, 10.92752200502972, 6.058664837677183, 7.06752096993325, 8.314351551031214, 9.54815832904664), # 110
(9.41888727858293, 7.9397867383512555, 9.281108796296298, 10.920721920289855, 10.654520697167756, 5.768934156378601, 6.168757651208631, 6.153419753086419, 10.906359567901236, 6.035237182280319, 7.040113237639553, 8.288609486679663, 9.528804976851852), # 111
(9.38954010854655, 7.896536306916234, 9.26040114883402, 10.890226013150832, 10.634817033809409, 5.756220240816949, 6.139562579489958, 6.134331047096479, 10.885398776863282, 6.011758401248016, 7.013230757871109, 8.26286742232811, 9.509567365397805), # 112
(9.360504223703044, 7.853598618785952, 9.239617828252069, 10.85983388249204, 10.615175680173705, 5.7438697692145135, 6.1105259636567695, 6.115852568780606, 10.86471281125862, 5.988304736612729, 6.9869239061528665, 8.237192936504428, 9.490443900843221), # 113
(9.331480897900065, 7.811397183525536, 9.219045675021619, 10.829789421277336, 10.595393354566326, 5.731854608529901, 6.082018208410579, 6.09821125950512, 10.84461903571306, 5.965315167912783, 6.961244337113197, 8.211912172112974, 9.471275414160035), # 114
(9.302384903003995, 7.769947198683046, 9.198696932707318, 10.800084505181779, 10.5754076778886, 5.7201435124987645, 6.054059650191562, 6.081402654278709, 10.82512497866879, 5.942825327988077, 6.936154511427094, 8.187037582558851, 9.452006631660376), # 115
(9.273179873237634, 7.729188281291702, 9.178532189983873, 10.770666150266404, 10.555188526383779, 5.708708877287098, 6.026604817527893, 6.065380312898993, 10.80618133922783, 5.920793358449547, 6.911605931271481, 8.162523197487346, 9.43260725975589), # 116
(9.243829442823772, 7.689060048384721, 9.158512035525986, 10.741481372592244, 10.53470577629511, 5.6975230990608905, 5.9996082389477525, 6.050097795163585, 10.787738816492203, 5.899177400908129, 6.887550098823283, 8.13832304654375, 9.413047004858225), # 117
(9.214297245985211, 7.649502116995324, 9.138597058008367, 10.712477188220333, 10.513929303865842, 5.686558573986138, 5.973024442979315, 6.0355086608700965, 10.769748109563935, 5.877935596974759, 6.863938516259424, 8.11439115937335, 9.393295573379024), # 118
(9.184546916944742, 7.610454104156729, 9.118747846105723, 10.683600613211706, 10.492828985339221, 5.675787698228833, 5.946807958150756, 6.021566469816145, 10.752159917545043, 5.857026088260372, 6.840722685756828, 8.090681565621434, 9.373322671729932), # 119
(9.154542089925162, 7.571855626902158, 9.098924988492762, 10.654798663627394, 10.471374696958497, 5.665182867954965, 5.920913312990253, 6.008224781799343, 10.734924939537558, 5.836407016375905, 6.817854109492416, 8.067148294933297, 9.353098006322597), # 120
(9.124246399149268, 7.533646302264829, 9.079089073844187, 10.626018355528434, 10.449536314966918, 5.6547164793305305, 5.89529503602598, 5.995437156617307, 10.717993874643499, 5.816036522932296, 6.795284289643116, 8.043745376954222, 9.33259128356866), # 121
(9.093623478839854, 7.495765747277961, 9.059200690834711, 10.597206704975855, 10.427283715607734, 5.644360928521519, 5.869907655786117, 5.983157154067649, 10.70131742196489, 5.795872749540477, 6.772964728385851, 8.0204268413295, 9.31177220987977), # 122
(9.062636963219719, 7.458153578974774, 9.039220428139036, 10.568310728030694, 10.40458677512419, 5.634088611693925, 5.844705700798839, 5.971338333947983, 10.684846280603754, 5.775873837811387, 6.750846927897544, 7.997146717704421, 9.290610491667572), # 123
(9.031250486511654, 7.420749414388487, 9.01910887443187, 10.539277440753986, 10.381415369759537, 5.623871925013739, 5.819643699592319, 5.959934256055926, 10.668531149662115, 5.755997929355961, 6.728882390355119, 7.973859035724275, 9.269075835343711), # 124
(8.999427682938459, 7.38349287055232, 8.998826618387923, 10.51005385920676, 10.357739375757022, 5.613683264646956, 5.794676180694739, 5.948898480189091, 10.652322728241993, 5.736203165785134, 6.707022617935501, 7.950517825034348, 9.247137947319828), # 125
(8.967132186722928, 7.346323564499494, 8.978334248681898, 10.480586999450054, 10.333528669359893, 5.603495026759568, 5.76975767263427, 5.938184566145092, 10.636171715445418, 5.7164476887098425, 6.685219112815613, 7.927077115279934, 9.224766534007578), # 126
(8.93432763208786, 7.309181113263224, 8.957592353988504, 10.450823877544899, 10.308753126811398, 5.593279607517565, 5.744842703939094, 5.927746073721545, 10.620028810374407, 5.696689639741024, 6.6634233771723785, 7.903490936106316, 9.201931301818599), # 127
(8.900977653256046, 7.272005133876735, 8.93656152298245, 10.420711509552332, 10.28338262435479, 5.583009403086944, 5.719885803137382, 5.917536562716062, 10.603844712130984, 5.6768871604896125, 6.641586913182724, 7.879713317158788, 9.178601957164537), # 128
(8.867045884450281, 7.234735243373241, 8.91520234433844, 10.390196911533382, 10.257387038233311, 5.572656809633695, 5.694841498757313, 5.90750959292626, 10.587570119817174, 5.656998392566545, 6.619661223023571, 7.855698288082636, 9.154748206457038), # 129
(8.832495959893366, 7.197311058785966, 8.893475406731179, 10.359227099549086, 10.230736244690213, 5.562194223323808, 5.669664319327063, 5.89761872414975, 10.571155732535, 5.636981477582757, 6.5975978088718445, 7.831399878523152, 9.130339756107748), # 130
(8.797291513808094, 7.159672197148127, 8.87134129883538, 10.327749089660475, 10.203400119968745, 5.55159404032328, 5.644308793374809, 5.88781751618415, 10.554552249386486, 5.616794557149185, 6.575348172904468, 7.806772118125624, 9.105346312528312), # 131
(8.76139618041726, 7.121758275492944, 8.848760609325746, 10.295709897928587, 10.175348540312154, 5.540828656798102, 5.618729449428725, 5.878059528827073, 10.537710369473654, 5.596395772876765, 6.552863817298364, 7.781769036535342, 9.079737582130376), # 132
(8.724773593943663, 7.083508910853635, 8.825693926876983, 10.263056540414452, 10.146551381963686, 5.529870468914266, 5.592880816016989, 5.868298321876132, 10.520580791898526, 5.575743266376432, 6.53009624423046, 7.756344663397592, 9.053483271325586), # 133
(8.687387388610095, 7.044863720263423, 8.802101840163804, 10.229736033179103, 10.116978521166592, 5.518691872837765, 5.566717421667779, 5.858487455128944, 10.503114215763128, 5.5547951792591235, 6.506996955877678, 7.730453028357666, 9.026553086525583), # 134
(8.649201198639354, 7.005762320755524, 8.777944937860909, 10.195695392283579, 10.08659983416412, 5.507265264734592, 5.540193794909268, 5.84858048838312, 10.48526134016948, 5.533509653135776, 6.483517454416942, 7.704048161060852, 8.99891673414202), # 135
(8.610178658254235, 6.966144329363159, 8.753183808643008, 10.160881633788906, 10.055385197199517, 5.495563040770739, 5.513264464269635, 5.838530981436277, 10.466972864219606, 5.511844829617322, 6.459609242025177, 7.677084091152441, 8.970543920586536), # 136
(8.570283401677534, 6.925949363119547, 8.72777904118481, 10.125241773756125, 10.023304486516034, 5.483557597112198, 5.485883958277055, 5.828292494086029, 10.448199487015533, 5.4897588503147015, 6.435223820879306, 7.649514848277719, 8.941404352270776), # 137
(8.529479063132047, 6.885117039057908, 8.701691224161017, 10.088722828246263, 9.990327578356919, 5.471221329924964, 5.458006805459704, 5.81781858612999, 10.428891907659281, 5.4672098568388465, 6.410312693156252, 7.621294462081978, 8.91146773560639), # 138
(8.487729276840568, 6.843586974211461, 8.67488094624634, 10.051271813320358, 9.956424348965415, 5.458526635375026, 5.429587534345759, 5.807062817365774, 10.409000825252871, 5.444155990800697, 6.38482736103294, 7.592376962210506, 8.880703777005019), # 139
(8.444997677025897, 6.801298785613425, 8.647308796115487, 10.012835745039444, 9.92156467458478, 5.445445909628379, 5.400580673463397, 5.795978747590996, 10.388476938898332, 5.420555393811186, 6.358719326686294, 7.562716378308592, 8.849082182878314), # 140
(8.40124789791083, 6.758192090297021, 8.61893536244316, 9.973361639464553, 9.885718431458253, 5.431951548851015, 5.370940751340795, 5.78451993660327, 10.36727094769768, 5.396366207481251, 6.331940092293238, 7.532266740021525, 8.816572659637913), # 141
(8.356443573718156, 6.714206505295466, 8.58972123390407, 9.93279651265672, 9.848855495829087, 5.418015949208927, 5.340622296506126, 5.772639944200211, 10.345333550752942, 5.371546573421828, 6.304441160030697, 7.500982076994594, 8.783144913695466), # 142
(8.310548338670674, 6.669281647641981, 8.559626999172925, 9.891087380676975, 9.810945743940529, 5.403611506868106, 5.3095798374875685, 5.760292330179432, 10.322615447166147, 5.3460546332438525, 6.276174032075593, 7.4688164188730894, 8.748768651462617), # 143
(8.263525826991184, 6.623357134369786, 8.528613246924428, 9.848181259586356, 9.771959052035829, 5.388710617994547, 5.277767902813299, 5.747430654338549, 10.29906733603931, 5.31984852855826, 6.247090210604851, 7.435723795302299, 8.713413579351014), # 144
(8.215339672902477, 6.576372582512099, 8.496640565833289, 9.804025165445895, 9.731865296358233, 5.3732856787542405, 5.245141021011493, 5.734008476475176, 10.274639916474454, 5.292886400975988, 6.217141197795395, 7.401658235927513, 8.6770494037723), # 145
(8.16595351062735, 6.528267609102142, 8.463669544574216, 9.758566114316626, 9.690634353150992, 5.35730908531318, 5.21165372061033, 5.719979356386927, 10.249283887573606, 5.2651263921079705, 6.186278495824149, 7.3665737703940195, 8.639645831138118), # 146
(8.1153309743886, 6.47898183117313, 8.42966077182191, 9.71175112225958, 9.648236098657351, 5.340753233837358, 5.177260530137981, 5.705296853871415, 10.22294994843879, 5.236526643565146, 6.154453606868036, 7.3304244283471105, 8.601172567860118), # 147
(8.063435698409021, 6.428454865758288, 8.394574836251083, 9.663527205335797, 9.604640409120561, 5.323590520492767, 5.1419159781226265, 5.689914528726257, 10.195588798172029, 5.207045296958447, 6.1216180331039824, 7.29316423943207, 8.561599320349941), # 148
(8.010231316911412, 6.37662632989083, 8.358372326536443, 9.613841379606303, 9.55981716078387, 5.3057933414453995, 5.105574593092441, 5.673785940749067, 10.167151135875338, 5.176640493898813, 6.08772327670891, 7.254747233294191, 8.520895795019237), # 149
(7.955681464118564, 6.323435840603979, 8.321013831352694, 9.562640661132138, 9.513736229890526, 5.287334092861249, 5.0681909035756005, 5.656864649737456, 10.137587660650752, 5.1452703759971765, 6.0527208398597425, 7.215127439578763, 8.479031698279647), # 150
(7.899749774253275, 6.268823014930954, 8.282459939374542, 9.50987206597433, 9.466367492683776, 5.268185170906305, 5.029719438100283, 5.639104215489043, 10.106849071600289, 5.112893084864478, 6.016562224733405, 7.174258887931072, 8.435976736542818), # 151
(7.842399881538343, 6.212727469904973, 8.242671239276701, 9.455482610193918, 9.417680825406869, 5.2483189717465635, 4.9901147251946645, 5.620458197801441, 10.07488606782597, 5.079466762111649, 5.979198933506821, 7.132095607996409, 8.391700616220398), # 152
(7.78359542019656, 6.155088822559256, 8.201608319733868, 9.399419309851933, 9.367646104303056, 5.2277078915480155, 4.949331293386919, 5.600880156472262, 10.041649348429823, 5.044949549349629, 5.940582468356916, 7.088591629420064, 8.346173043724027), # 153
(7.723300024450729, 6.095846689927024, 8.159231769420758, 9.34162918100941, 9.31623320561558, 5.206324326476654, 4.907323671205228, 5.580323651299123, 10.007089612513866, 5.009299588189353, 5.900664331460612, 7.043700981847325, 8.299363725465357), # 154
(7.6614773285236355, 6.034940689041495, 8.115502177012075, 9.282059239727378, 9.263412005587696, 5.184140672698471, 4.864046387177761, 5.558742242079636, 9.971157559180128, 4.972475020241754, 5.859396024994833, 6.997377694923482, 8.251242367856026), # 155
(7.598090966638081, 5.972310436935888, 8.070380131182526, 9.220656502066875, 9.209152380462648, 5.161129326379461, 4.8194539698327, 5.5360894886114185, 9.933803887530626, 4.934433987117773, 5.816729051136504, 6.949575798293822, 8.201778677307685), # 156
(7.533104573016862, 5.907895550643423, 8.023826220606818, 9.157367984088937, 9.153424206483685, 5.137262683685614, 4.773500947698219, 5.512318950692082, 9.894979296667389, 4.895134630428341, 5.772614912062549, 6.900249321603637, 8.150942360231976), # 157
(7.464680946405239, 5.840453120772258, 7.973591953902355, 9.089769581651243, 9.093681105870997, 5.11102447631711, 4.725106720927857, 5.485796952349372, 9.851662091599097, 4.8533659162911436, 5.7255957525389425, 6.847599564194339, 8.096485859415345), # 158
(7.382286766978402, 5.763065319599478, 7.906737818402988, 9.003977158788453, 9.015191309781628, 5.073689648007103, 4.668212763385716, 5.4472135327643825, 9.786427261222144, 4.802280994098745, 5.667416935618994, 6.781362523683108, 8.025427646920194), # 159
(7.284872094904309, 5.675096728540714, 7.821920957955888, 8.89857751040886, 8.916420131346795, 5.024341296047684, 4.602243748383784, 5.3955991895273465, 9.697425227228651, 4.741205651862893, 5.59725950860954, 6.700501948887847, 7.93642060889358), # 160
(7.17322205458596, 5.577120868080469, 7.720046971910309, 8.774572503756728, 8.798393124282113, 4.963577241570314, 4.527681446006876, 5.33160053310978, 9.585829766999018, 4.6706581931709374, 5.515741654599707, 6.605767468907571, 7.830374044819097), # 161
(7.048121770426357, 5.469711258703239, 7.602021459615496, 8.632964006076326, 8.662135842303204, 4.891995305706455, 4.445007626339809, 5.255864173983202, 9.452814657913637, 4.5911569216102315, 5.42348155667862, 6.497908712841293, 7.708197254180333), # 162
(6.9103563668284975, 5.353441420893524, 7.468750020420702, 8.474753884611934, 8.508673839125688, 4.810193309587572, 4.354704059467401, 5.169036722619125, 9.299553677352906, 4.503220140768125, 5.321097397935408, 6.3776753097880325, 7.570799536460879), # 163
(6.760710968195384, 5.228884875135821, 7.321138253675176, 8.300944006607818, 8.339032668465189, 4.718769074345129, 4.257252515474466, 5.071764789489069, 9.127220602697223, 4.407366154231968, 5.209207361459196, 6.245816888846803, 7.419090191144328), # 164
(6.599970698930017, 5.096615141914632, 7.160091758728169, 8.112536239308252, 8.154237884037324, 4.618320421110586, 4.153134764445822, 4.964694985064546, 8.93698921132698, 4.3041132655891134, 5.088429630339111, 6.10308307911662, 7.25397851771427), # 165
(6.428920683435397, 4.957205741714454, 6.9865161349289275, 7.910532449957501, 7.955315039557714, 4.509445171015408, 4.042832576466286, 4.848473919817077, 8.730033280622573, 4.193979778426912, 4.959382387664279, 5.950223509696501, 7.0763738156542955), # 166
(6.248346046114523, 4.811230195019787, 6.801316981626704, 7.695934505799843, 7.74328968874198, 4.392741145191058, 3.9268277216206746, 4.723748204218176, 8.5075265879644, 4.077483996332714, 4.822683816523827, 5.7879878096854585, 6.887185384447996), # 167
(6.059031911370395, 4.659262022315128, 6.605399898170748, 7.469744274079546, 7.519187385305742, 4.268806164768999, 3.805601969993804, 4.5911644487393595, 8.270642910732855, 3.955144222893872, 4.678952100006881, 5.617125608182511, 6.6873225235789615), # 168
(5.861763403606015, 4.501874744084979, 6.399670483910309, 7.232963622040883, 7.28403368296462, 4.138238050880695, 3.6796370916704917, 4.451369263852145, 8.020556026308338, 3.8274787616977366, 4.528805421202568, 5.438386534286672, 6.477694532530785), # 169
(5.657325647224384, 4.339641880813837, 6.185034338194635, 6.98659441692812, 7.038854135434233, 4.001634624657607, 3.549414856735553, 4.305009260028047, 7.7584397120712385, 3.6950059163316578, 4.372861963200016, 5.252520217096959, 6.259210710787055), # 170
(5.4465037666285, 4.173136952986201, 5.962397060372978, 6.731638525985535, 6.784674296430206, 3.8595937072311983, 3.4154170352738054, 4.152731047738583, 7.485467745401956, 3.5582439903829886, 4.211739909088348, 5.060276285712386, 6.032780357831365), # 171
(5.230082886221365, 4.002933481086569, 5.7326642497945866, 6.4690978164573965, 6.5225197196681535, 3.7127131197329337, 3.2781253973700655, 3.9951812374552707, 7.202813903680886, 3.41771128743908, 4.046057441956694, 4.862404369231971, 5.799312773147303), # 172
(5.00884813040598, 3.8296049855994423, 5.4967415058087115, 6.1999741555879755, 6.253415958863702, 3.5615906832942748, 3.1380217131091497, 3.8330064396496235, 6.911651964288422, 3.2739261110872815, 3.8764327448941778, 4.659654096754725, 5.5597172562184625), # 173
(4.783584623585344, 3.653724987009318, 5.2555344277646014, 5.9252694106215404, 5.978388567732466, 3.406824219046685, 2.9955877525758754, 3.6668532647931604, 6.613155704604964, 3.1274067649149466, 3.7034840009899277, 4.452775097379668, 5.314903106528433), # 174
(4.555077490162455, 3.4758670058006946, 5.009948615011508, 5.645985448802367, 5.698463099990069, 3.2490115481216284, 2.851305285855058, 3.497368323357396, 6.308498902010905, 2.9786715525094243, 3.5278293933330693, 4.242517000205814, 5.0657796235608075), # 175
(4.324111854540319, 3.296604562458073, 4.760889666898678, 5.363124137374725, 5.41466510935213, 3.0887504916505666, 2.705656083031515, 3.325198225813849, 5.998855333886642, 2.828238777458067, 3.35008710501273, 4.029629434332179, 4.813256106799174), # 176
(4.0914728411219325, 3.1165111774659513, 4.5092631827753635, 5.077687343582883, 5.128020149534273, 2.9266388707649633, 2.5591219141900625, 3.1509895826340326, 5.68539877761257, 2.6766267433482245, 3.1708753191180357, 3.8148620288577786, 4.5582418557271245), # 177
(3.8579455743102966, 2.9361603713088282, 4.255974761990814, 4.790676934671116, 4.8395537742521135, 2.7632745065962827, 2.4121845494155174, 2.9753890042894655, 5.3693030105690855, 2.52435375376725, 2.9908122187381125, 3.598964412881627, 4.301646169828252), # 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 = (
(14, 8, 6, 8, 8, 0, 0, 1, 4, 0, 0, 2, 0, 7, 3, 3, 4, 3, 2, 0, 1, 0, 2, 2, 0, 0), # 0
(19, 13, 12, 13, 11, 2, 5, 3, 7, 5, 1, 3, 0, 14, 9, 8, 7, 11, 7, 1, 3, 2, 3, 2, 0, 0), # 1
(24, 22, 16, 15, 18, 6, 7, 4, 9, 5, 1, 3, 0, 24, 12, 13, 8, 17, 10, 4, 5, 5, 4, 2, 0, 0), # 2
(33, 25, 21, 17, 25, 7, 13, 6, 11, 9, 1, 4, 0, 36, 18, 15, 16, 25, 20, 5, 7, 5, 6, 4, 0, 0), # 3
(41, 32, 28, 27, 30, 7, 15, 7, 14, 10, 1, 4, 0, 44, 23, 19, 17, 28, 22, 8, 7, 5, 7, 5, 0, 0), # 4
(46, 36, 33, 30, 34, 10, 18, 12, 16, 10, 4, 4, 0, 50, 28, 26, 20, 35, 23, 10, 10, 8, 8, 8, 2, 0), # 5
(53, 40, 42, 39, 37, 14, 24, 13, 18, 13, 5, 4, 0, 56, 34, 32, 27, 37, 25, 14, 11, 8, 11, 9, 3, 0), # 6
(60, 45, 51, 42, 44, 18, 25, 18, 19, 14, 7, 5, 0, 60, 37, 40, 29, 45, 26, 19, 13, 10, 12, 9, 3, 0), # 7
(74, 51, 55, 51, 53, 21, 27, 18, 20, 16, 7, 5, 0, 65, 43, 45, 34, 52, 29, 20, 18, 14, 13, 10, 3, 0), # 8
(83, 58, 59, 61, 59, 24, 30, 18, 21, 18, 7, 5, 0, 69, 48, 51, 36, 59, 34, 21, 18, 18, 14, 12, 4, 0), # 9
(91, 63, 63, 70, 68, 29, 35, 24, 24, 18, 7, 6, 0, 75, 57, 58, 41, 65, 40, 22, 22, 22, 17, 13, 4, 0), # 10
(102, 69, 72, 80, 73, 32, 41, 25, 25, 19, 7, 6, 0, 86, 63, 61, 43, 76, 45, 24, 23, 26, 20, 14, 4, 0), # 11
(111, 73, 79, 85, 82, 36, 44, 27, 28, 20, 9, 7, 0, 91, 73, 70, 48, 88, 49, 29, 29, 30, 26, 18, 4, 0), # 12
(121, 80, 88, 93, 90, 38, 47, 30, 31, 21, 11, 8, 0, 98, 83, 74, 52, 93, 55, 31, 31, 35, 28, 20, 5, 0), # 13
(130, 93, 98, 105, 96, 39, 52, 37, 36, 26, 12, 8, 0, 105, 89, 78, 63, 102, 62, 36, 31, 38, 31, 22, 5, 0), # 14
(144, 103, 112, 112, 106, 45, 54, 42, 41, 26, 13, 9, 0, 109, 95, 85, 70, 107, 65, 44, 36, 44, 37, 23, 5, 0), # 15
(154, 112, 123, 120, 111, 48, 59, 47, 44, 27, 13, 11, 0, 117, 104, 93, 77, 119, 68, 46, 38, 51, 40, 24, 5, 0), # 16
(167, 120, 136, 128, 118, 51, 62, 49, 49, 28, 13, 11, 0, 120, 112, 98, 82, 124, 70, 49, 42, 56, 43, 25, 7, 0), # 17
(175, 130, 143, 135, 121, 56, 68, 57, 53, 31, 16, 12, 0, 131, 120, 104, 95, 137, 73, 57, 42, 62, 44, 26, 8, 0), # 18
(180, 143, 155, 146, 127, 61, 72, 59, 54, 33, 19, 13, 0, 139, 125, 112, 103, 144, 82, 61, 44, 62, 48, 29, 8, 0), # 19
(195, 156, 160, 150, 134, 63, 78, 63, 58, 37, 21, 16, 0, 157, 132, 120, 107, 150, 85, 64, 47, 66, 50, 30, 9, 0), # 20
(204, 171, 165, 159, 143, 66, 85, 65, 64, 37, 22, 18, 0, 167, 141, 130, 118, 158, 90, 66, 52, 69, 51, 31, 9, 0), # 21
(214, 180, 177, 164, 154, 69, 89, 70, 70, 38, 22, 19, 0, 176, 150, 133, 122, 173, 98, 71, 54, 72, 53, 34, 12, 0), # 22
(222, 187, 180, 170, 156, 72, 91, 74, 75, 40, 24, 21, 0, 182, 155, 138, 123, 185, 104, 73, 57, 75, 57, 35, 16, 0), # 23
(228, 194, 189, 179, 164, 78, 94, 80, 81, 42, 24, 22, 0, 194, 166, 146, 132, 194, 114, 75, 59, 81, 57, 37, 20, 0), # 24
(243, 207, 197, 188, 173, 81, 99, 85, 86, 42, 26, 23, 0, 202, 175, 157, 141, 202, 121, 77, 60, 83, 62, 39, 20, 0), # 25
(253, 213, 206, 192, 180, 84, 103, 91, 89, 43, 26, 24, 0, 210, 184, 162, 148, 211, 126, 84, 63, 84, 65, 39, 21, 0), # 26
(261, 223, 213, 198, 189, 91, 105, 93, 96, 44, 26, 26, 0, 217, 192, 168, 154, 215, 131, 88, 65, 88, 70, 41, 22, 0), # 27
(272, 232, 219, 208, 195, 93, 108, 98, 103, 47, 27, 27, 0, 223, 200, 172, 160, 219, 134, 90, 67, 90, 71, 41, 24, 0), # 28
(283, 241, 226, 220, 203, 97, 108, 105, 104, 48, 27, 27, 0, 231, 207, 181, 169, 223, 137, 97, 70, 94, 71, 42, 26, 0), # 29
(292, 251, 238, 233, 211, 103, 110, 107, 106, 50, 28, 28, 0, 241, 217, 185, 175, 230, 144, 103, 72, 98, 73, 43, 28, 0), # 30
(303, 260, 248, 237, 216, 103, 116, 113, 107, 51, 29, 29, 0, 253, 226, 191, 180, 233, 155, 107, 74, 105, 79, 47, 28, 0), # 31
(321, 269, 257, 243, 225, 103, 117, 114, 114, 54, 31, 29, 0, 262, 231, 197, 183, 241, 158, 108, 76, 107, 82, 50, 30, 0), # 32
(331, 279, 267, 249, 227, 115, 124, 114, 121, 56, 34, 29, 0, 267, 243, 205, 184, 255, 164, 112, 78, 113, 85, 51, 30, 0), # 33
(346, 288, 278, 260, 237, 119, 129, 115, 130, 59, 34, 30, 0, 276, 250, 212, 189, 261, 171, 114, 79, 116, 89, 51, 32, 0), # 34
(360, 301, 287, 278, 244, 125, 131, 119, 134, 60, 37, 31, 0, 285, 260, 219, 197, 265, 175, 119, 83, 118, 90, 54, 35, 0), # 35
(368, 306, 293, 282, 255, 128, 137, 124, 140, 62, 37, 33, 0, 300, 266, 225, 203, 270, 181, 122, 87, 121, 93, 55, 37, 0), # 36
(374, 314, 308, 286, 261, 131, 140, 128, 141, 66, 37, 33, 0, 315, 274, 236, 208, 282, 182, 128, 88, 126, 99, 56, 37, 0), # 37
(389, 331, 317, 293, 269, 135, 145, 130, 143, 66, 37, 34, 0, 325, 283, 239, 214, 290, 187, 130, 92, 131, 103, 57, 38, 0), # 38
(396, 342, 323, 304, 281, 138, 149, 134, 145, 67, 40, 35, 0, 334, 290, 249, 216, 298, 191, 137, 94, 138, 103, 58, 40, 0), # 39
(405, 347, 332, 316, 286, 139, 152, 138, 147, 68, 40, 36, 0, 345, 297, 254, 222, 313, 195, 141, 95, 142, 106, 59, 41, 0), # 40
(413, 352, 339, 326, 297, 144, 159, 141, 153, 69, 42, 37, 0, 363, 306, 260, 230, 321, 200, 147, 97, 145, 108, 60, 43, 0), # 41
(423, 364, 346, 336, 306, 146, 162, 145, 156, 70, 42, 37, 0, 370, 317, 263, 236, 329, 204, 151, 102, 151, 111, 60, 43, 0), # 42
(434, 374, 358, 343, 316, 154, 166, 146, 158, 73, 43, 38, 0, 386, 324, 277, 241, 341, 213, 152, 103, 156, 113, 63, 45, 0), # 43
(442, 388, 370, 351, 322, 158, 169, 148, 162, 74, 44, 38, 0, 400, 334, 288, 246, 350, 217, 154, 105, 161, 117, 65, 45, 0), # 44
(450, 402, 379, 354, 328, 161, 173, 154, 164, 74, 45, 40, 0, 407, 345, 295, 251, 365, 218, 157, 109, 163, 120, 65, 45, 0), # 45
(459, 413, 387, 363, 333, 162, 175, 157, 168, 79, 46, 40, 0, 418, 357, 305, 257, 373, 224, 161, 112, 174, 127, 67, 47, 0), # 46
(470, 423, 400, 375, 340, 167, 183, 161, 170, 81, 46, 40, 0, 429, 363, 315, 266, 376, 230, 166, 114, 177, 132, 72, 47, 0), # 47
(478, 430, 406, 382, 346, 171, 189, 162, 173, 83, 47, 41, 0, 441, 374, 322, 269, 390, 237, 166, 115, 180, 136, 75, 48, 0), # 48
(486, 438, 415, 392, 353, 174, 190, 165, 176, 87, 48, 41, 0, 453, 385, 329, 271, 396, 242, 167, 116, 182, 137, 78, 49, 0), # 49
(492, 449, 423, 397, 366, 176, 192, 169, 180, 88, 50, 42, 0, 463, 397, 335, 275, 400, 247, 171, 118, 184, 141, 80, 49, 0), # 50
(502, 460, 431, 411, 373, 180, 195, 175, 185, 88, 51, 42, 0, 469, 411, 337, 278, 406, 252, 175, 121, 188, 144, 81, 51, 0), # 51
(515, 466, 443, 421, 378, 182, 199, 177, 187, 90, 52, 42, 0, 481, 419, 348, 283, 417, 253, 182, 124, 195, 145, 82, 52, 0), # 52
(527, 480, 453, 427, 388, 185, 203, 183, 193, 93, 53, 42, 0, 491, 432, 353, 286, 428, 259, 186, 125, 200, 148, 84, 52, 0), # 53
(540, 490, 459, 438, 391, 190, 208, 190, 202, 93, 56, 42, 0, 497, 440, 360, 290, 432, 262, 190, 127, 204, 151, 86, 52, 0), # 54
(551, 498, 469, 451, 399, 196, 211, 194, 204, 95, 57, 44, 0, 502, 447, 366, 294, 442, 270, 194, 128, 208, 153, 86, 53, 0), # 55
(561, 511, 478, 457, 404, 200, 212, 198, 208, 100, 57, 46, 0, 510, 453, 372, 303, 449, 273, 200, 133, 212, 159, 86, 53, 0), # 56
(573, 516, 482, 467, 414, 203, 216, 203, 212, 101, 58, 46, 0, 522, 457, 377, 313, 456, 279, 201, 134, 217, 163, 87, 53, 0), # 57
(585, 530, 489, 479, 423, 203, 221, 206, 216, 102, 60, 46, 0, 532, 466, 381, 315, 462, 284, 207, 135, 219, 164, 88, 56, 0), # 58
(592, 539, 493, 486, 429, 204, 221, 208, 219, 104, 60, 46, 0, 542, 477, 390, 320, 469, 288, 209, 138, 223, 168, 90, 56, 0), # 59
(604, 545, 501, 498, 434, 208, 224, 213, 222, 106, 61, 46, 0, 560, 484, 399, 328, 474, 291, 218, 139, 229, 173, 94, 57, 0), # 60
(617, 555, 510, 509, 443, 212, 227, 216, 227, 107, 63, 46, 0, 570, 493, 407, 330, 482, 291, 226, 140, 232, 176, 95, 59, 0), # 61
(627, 567, 517, 519, 447, 217, 231, 219, 230, 110, 64, 46, 0, 576, 499, 413, 335, 493, 295, 229, 146, 235, 177, 97, 59, 0), # 62
(639, 579, 530, 524, 454, 228, 234, 223, 236, 112, 65, 47, 0, 593, 508, 424, 340, 499, 297, 233, 150, 237, 179, 97, 59, 0), # 63
(649, 590, 541, 530, 464, 230, 236, 225, 239, 116, 70, 47, 0, 602, 515, 430, 347, 503, 305, 243, 154, 241, 181, 97, 60, 0), # 64
(658, 596, 548, 544, 473, 236, 243, 230, 243, 117, 72, 47, 0, 614, 522, 434, 354, 515, 306, 245, 160, 246, 185, 97, 60, 0), # 65
(669, 603, 558, 557, 481, 238, 250, 232, 248, 117, 73, 47, 0, 628, 534, 441, 357, 524, 311, 250, 162, 247, 187, 98, 61, 0), # 66
(681, 610, 567, 566, 494, 241, 256, 235, 254, 118, 73, 47, 0, 642, 541, 448, 363, 530, 313, 255, 163, 249, 193, 100, 62, 0), # 67
(686, 619, 580, 579, 499, 245, 258, 239, 256, 119, 75, 48, 0, 650, 559, 459, 367, 543, 318, 261, 165, 254, 195, 100, 64, 0), # 68
(699, 622, 587, 589, 505, 252, 262, 240, 261, 121, 77, 48, 0, 656, 571, 462, 371, 546, 320, 263, 166, 257, 197, 102, 64, 0), # 69
(703, 631, 595, 596, 512, 256, 263, 244, 263, 122, 79, 48, 0, 664, 577, 470, 380, 555, 324, 269, 168, 259, 200, 104, 64, 0), # 70
(717, 640, 603, 605, 517, 264, 265, 245, 264, 123, 80, 50, 0, 681, 586, 485, 385, 563, 326, 273, 171, 261, 202, 105, 67, 0), # 71
(730, 646, 610, 617, 525, 268, 269, 248, 265, 124, 81, 51, 0, 695, 592, 491, 391, 575, 330, 277, 174, 265, 206, 107, 68, 0), # 72
(739, 653, 616, 629, 531, 269, 272, 250, 271, 126, 82, 52, 0, 704, 599, 499, 394, 585, 339, 283, 178, 267, 209, 109, 69, 0), # 73
(750, 664, 625, 637, 537, 276, 276, 251, 274, 129, 83, 53, 0, 709, 609, 503, 398, 592, 342, 287, 180, 273, 209, 109, 69, 0), # 74
(764, 672, 635, 645, 546, 279, 279, 254, 279, 132, 85, 55, 0, 721, 621, 508, 404, 596, 346, 290, 183, 273, 210, 111, 70, 0), # 75
(773, 685, 644, 654, 553, 282, 282, 257, 284, 135, 86, 56, 0, 734, 629, 512, 410, 599, 353, 291, 184, 278, 211, 113, 70, 0), # 76
(786, 693, 652, 663, 560, 287, 287, 259, 287, 135, 86, 56, 0, 747, 634, 517, 415, 612, 355, 298, 184, 285, 211, 114, 71, 0), # 77
(795, 700, 656, 677, 569, 289, 291, 263, 292, 137, 87, 57, 0, 756, 647, 525, 417, 614, 359, 301, 185, 288, 217, 114, 71, 0), # 78
(801, 712, 667, 690, 577, 292, 293, 265, 296, 137, 89, 57, 0, 766, 655, 530, 420, 622, 365, 304, 195, 289, 220, 118, 71, 0), # 79
(815, 727, 668, 700, 583, 294, 295, 268, 300, 137, 91, 58, 0, 772, 666, 541, 423, 631, 369, 307, 197, 293, 223, 119, 73, 0), # 80
(830, 732, 671, 709, 591, 295, 303, 270, 304, 138, 92, 60, 0, 786, 675, 549, 427, 641, 370, 310, 200, 302, 226, 122, 74, 0), # 81
(842, 742, 679, 725, 598, 300, 309, 271, 307, 139, 94, 61, 0, 797, 687, 554, 432, 651, 373, 316, 202, 305, 229, 124, 74, 0), # 82
(851, 755, 692, 728, 603, 303, 312, 275, 310, 140, 96, 62, 0, 808, 698, 567, 436, 655, 377, 320, 203, 312, 231, 127, 75, 0), # 83
(860, 759, 699, 733, 609, 305, 317, 280, 315, 141, 97, 62, 0, 819, 707, 577, 439, 658, 382, 320, 205, 315, 232, 128, 76, 0), # 84
(869, 771, 711, 744, 613, 308, 322, 284, 317, 142, 99, 62, 0, 829, 714, 583, 444, 667, 384, 324, 211, 319, 232, 128, 76, 0), # 85
(881, 777, 719, 750, 627, 312, 325, 287, 319, 143, 99, 63, 0, 836, 724, 587, 448, 673, 387, 328, 214, 323, 237, 129, 77, 0), # 86
(894, 787, 727, 753, 630, 317, 328, 291, 322, 144, 100, 63, 0, 847, 733, 596, 453, 682, 393, 331, 218, 328, 238, 131, 78, 0), # 87
(901, 793, 735, 762, 635, 319, 331, 293, 325, 144, 100, 63, 0, 855, 742, 598, 458, 686, 395, 332, 218, 331, 241, 133, 78, 0), # 88
(911, 803, 743, 768, 644, 323, 333, 297, 327, 145, 101, 65, 0, 862, 753, 606, 465, 699, 396, 337, 220, 332, 246, 134, 79, 0), # 89
(912, 809, 750, 776, 652, 332, 335, 298, 332, 147, 101, 66, 0, 874, 766, 616, 469, 711, 399, 339, 221, 333, 248, 137, 79, 0), # 90
(922, 821, 753, 787, 659, 336, 337, 301, 334, 152, 103, 68, 0, 886, 772, 623, 477, 716, 401, 346, 223, 336, 251, 142, 81, 0), # 91
(932, 831, 760, 792, 666, 340, 343, 304, 340, 153, 103, 68, 0, 902, 778, 631, 486, 724, 403, 346, 227, 340, 255, 143, 81, 0), # 92
(942, 839, 769, 798, 672, 340, 348, 307, 347, 153, 105, 68, 0, 908, 789, 636, 490, 733, 411, 346, 233, 340, 260, 146, 81, 0), # 93
(947, 849, 776, 809, 676, 343, 350, 309, 352, 153, 105, 69, 0, 918, 796, 644, 495, 740, 412, 347, 235, 342, 262, 146, 81, 0), # 94
(954, 852, 789, 817, 684, 347, 352, 314, 358, 156, 106, 69, 0, 925, 799, 650, 498, 744, 414, 351, 240, 347, 265, 150, 82, 0), # 95
(960, 860, 794, 822, 694, 350, 353, 316, 359, 158, 107, 71, 0, 933, 807, 657, 500, 756, 415, 355, 240, 350, 267, 152, 82, 0), # 96
(975, 871, 806, 829, 700, 352, 356, 321, 364, 159, 108, 71, 0, 945, 815, 663, 504, 758, 418, 355, 241, 359, 273, 155, 82, 0), # 97
(986, 879, 808, 834, 705, 356, 360, 323, 371, 164, 112, 72, 0, 951, 821, 672, 514, 766, 423, 363, 243, 361, 275, 155, 82, 0), # 98
(995, 887, 814, 842, 715, 357, 364, 326, 377, 169, 112, 72, 0, 971, 829, 679, 518, 776, 426, 368, 243, 364, 284, 156, 83, 0), # 99
(1015, 893, 824, 846, 723, 362, 366, 330, 378, 172, 113, 72, 0, 982, 831, 684, 522, 786, 430, 373, 247, 366, 285, 159, 83, 0), # 100
(1024, 898, 834, 854, 730, 369, 368, 333, 382, 173, 114, 73, 0, 989, 839, 690, 528, 793, 432, 377, 249, 369, 287, 164, 84, 0), # 101
(1036, 906, 843, 861, 734, 371, 368, 336, 384, 177, 115, 74, 0, 1000, 850, 698, 533, 797, 438, 386, 249, 373, 291, 164, 84, 0), # 102
(1049, 910, 852, 862, 743, 373, 371, 341, 385, 178, 115, 74, 0, 1006, 856, 704, 540, 801, 442, 389, 253, 374, 295, 165, 84, 0), # 103
(1060, 917, 860, 866, 750, 379, 373, 344, 390, 178, 116, 74, 0, 1010, 861, 708, 541, 810, 447, 389, 258, 376, 299, 168, 86, 0), # 104
(1074, 927, 872, 870, 758, 382, 378, 346, 393, 178, 119, 75, 0, 1019, 863, 710, 547, 817, 453, 390, 262, 382, 301, 170, 87, 0), # 105
(1083, 934, 879, 881, 773, 385, 381, 353, 399, 179, 120, 76, 0, 1032, 873, 720, 554, 823, 456, 393, 267, 389, 301, 171, 89, 0), # 106
(1092, 942, 891, 885, 781, 389, 384, 354, 401, 179, 120, 78, 0, 1041, 885, 724, 556, 835, 459, 399, 270, 394, 304, 174, 89, 0), # 107
(1106, 947, 901, 891, 788, 391, 386, 355, 406, 180, 123, 78, 0, 1051, 888, 734, 563, 839, 462, 400, 278, 398, 307, 175, 90, 0), # 108
(1115, 956, 904, 898, 795, 393, 388, 359, 411, 182, 126, 79, 0, 1065, 894, 736, 568, 843, 463, 404, 279, 401, 309, 175, 90, 0), # 109
(1125, 964, 915, 907, 805, 397, 389, 360, 415, 184, 130, 79, 0, 1074, 902, 743, 576, 849, 466, 407, 285, 404, 314, 178, 90, 0), # 110
(1135, 973, 922, 912, 812, 400, 389, 364, 419, 184, 130, 79, 0, 1089, 909, 749, 581, 852, 472, 410, 288, 410, 319, 181, 90, 0), # 111
(1146, 981, 931, 923, 818, 403, 392, 367, 424, 185, 131, 79, 0, 1098, 917, 756, 585, 856, 476, 411, 289, 414, 320, 181, 92, 0), # 112
(1151, 989, 939, 933, 825, 408, 396, 367, 429, 186, 131, 80, 0, 1109, 922, 759, 586, 867, 480, 413, 291, 417, 323, 182, 93, 0), # 113
(1157, 997, 948, 939, 835, 413, 397, 368, 436, 187, 133, 81, 0, 1117, 932, 762, 588, 878, 483, 414, 293, 419, 325, 186, 94, 0), # 114
(1166, 1005, 954, 945, 842, 416, 401, 370, 439, 189, 134, 81, 0, 1127, 934, 771, 594, 887, 484, 418, 294, 421, 328, 188, 95, 0), # 115
(1176, 1012, 959, 953, 853, 418, 405, 374, 444, 190, 135, 81, 0, 1137, 945, 775, 600, 896, 492, 424, 296, 424, 331, 192, 95, 0), # 116
(1190, 1024, 967, 959, 861, 421, 410, 378, 445, 190, 136, 81, 0, 1143, 951, 780, 602, 899, 498, 428, 298, 428, 333, 194, 96, 0), # 117
(1194, 1035, 972, 971, 864, 424, 415, 383, 448, 192, 136, 81, 0, 1149, 960, 784, 609, 904, 499, 432, 301, 433, 335, 194, 96, 0), # 118
(1202, 1046, 976, 977, 867, 426, 417, 386, 450, 194, 136, 82, 0, 1156, 966, 797, 619, 912, 501, 434, 304, 433, 337, 196, 97, 0), # 119
(1208, 1052, 986, 983, 875, 429, 420, 389, 453, 196, 140, 82, 0, 1163, 971, 801, 623, 918, 503, 435, 306, 438, 341, 201, 97, 0), # 120
(1216, 1059, 993, 988, 885, 431, 426, 397, 459, 200, 141, 82, 0, 1171, 975, 809, 630, 929, 505, 438, 309, 444, 341, 204, 97, 0), # 121
(1229, 1065, 1002, 996, 887, 433, 428, 398, 465, 201, 142, 82, 0, 1180, 984, 812, 634, 939, 508, 441, 313, 446, 342, 208, 97, 0), # 122
(1238, 1072, 1011, 1005, 895, 434, 435, 403, 470, 203, 142, 82, 0, 1187, 988, 817, 639, 942, 514, 442, 315, 454, 347, 210, 97, 0), # 123
(1245, 1079, 1016, 1015, 898, 437, 438, 406, 473, 205, 142, 82, 0, 1196, 991, 820, 645, 947, 517, 445, 317, 460, 350, 212, 100, 0), # 124
(1259, 1084, 1022, 1019, 911, 442, 439, 410, 476, 206, 142, 84, 0, 1206, 997, 825, 652, 953, 521, 448, 319, 462, 351, 212, 101, 0), # 125
(1267, 1089, 1028, 1032, 921, 443, 446, 411, 478, 206, 143, 84, 0, 1213, 1003, 832, 657, 961, 527, 452, 323, 462, 352, 214, 102, 0), # 126
(1276, 1092, 1038, 1043, 923, 444, 451, 412, 478, 206, 145, 85, 0, 1223, 1009, 839, 660, 967, 529, 457, 328, 467, 353, 214, 102, 0), # 127
(1290, 1099, 1047, 1049, 930, 446, 453, 414, 482, 209, 146, 85, 0, 1234, 1013, 841, 666, 973, 535, 457, 329, 471, 357, 215, 102, 0), # 128
(1298, 1103, 1054, 1064, 936, 447, 453, 415, 484, 211, 146, 85, 0, 1248, 1021, 846, 667, 976, 538, 462, 330, 473, 364, 215, 102, 0), # 129
(1304, 1106, 1060, 1068, 946, 449, 459, 417, 487, 213, 146, 85, 0, 1262, 1029, 851, 667, 983, 540, 464, 331, 477, 366, 215, 102, 0), # 130
(1315, 1114, 1069, 1076, 952, 450, 460, 418, 493, 215, 146, 85, 0, 1270, 1032, 857, 674, 990, 542, 466, 333, 478, 369, 215, 103, 0), # 131
(1323, 1118, 1079, 1081, 959, 452, 461, 423, 494, 216, 146, 85, 0, 1279, 1046, 864, 679, 995, 544, 469, 335, 480, 369, 215, 103, 0), # 132
(1331, 1124, 1087, 1096, 969, 456, 462, 425, 498, 220, 148, 86, 0, 1285, 1057, 869, 684, 1000, 548, 472, 336, 481, 369, 216, 103, 0), # 133
(1339, 1128, 1095, 1110, 976, 457, 464, 428, 499, 221, 149, 86, 0, 1292, 1068, 874, 686, 1006, 552, 475, 340, 484, 369, 218, 103, 0), # 134
(1344, 1139, 1099, 1123, 986, 459, 467, 430, 501, 222, 150, 87, 0, 1299, 1076, 876, 688, 1011, 556, 478, 345, 486, 371, 219, 105, 0), # 135
(1353, 1148, 1103, 1135, 988, 460, 470, 431, 508, 222, 153, 87, 0, 1314, 1085, 878, 692, 1020, 557, 480, 346, 487, 374, 223, 105, 0), # 136
(1365, 1150, 1110, 1141, 994, 463, 475, 433, 511, 222, 153, 87, 0, 1323, 1089, 885, 697, 1031, 558, 483, 350, 496, 375, 224, 106, 0), # 137
(1374, 1155, 1114, 1151, 1000, 466, 477, 436, 513, 225, 154, 87, 0, 1334, 1094, 893, 699, 1038, 563, 487, 352, 502, 379, 227, 106, 0), # 138
(1383, 1160, 1120, 1155, 1007, 471, 480, 439, 515, 227, 154, 88, 0, 1346, 1100, 898, 705, 1043, 565, 490, 352, 503, 383, 227, 106, 0), # 139
(1394, 1173, 1124, 1161, 1012, 477, 483, 441, 522, 227, 157, 89, 0, 1349, 1104, 903, 709, 1049, 572, 496, 356, 506, 385, 227, 107, 0), # 140
(1403, 1180, 1131, 1169, 1021, 479, 484, 445, 527, 228, 157, 89, 0, 1358, 1109, 916, 714, 1059, 574, 501, 358, 508, 388, 229, 108, 0), # 141
(1411, 1185, 1137, 1177, 1028, 480, 489, 446, 533, 230, 157, 89, 0, 1360, 1109, 924, 716, 1064, 575, 502, 362, 510, 392, 232, 108, 0), # 142
(1420, 1192, 1143, 1186, 1039, 482, 490, 447, 535, 232, 158, 93, 0, 1373, 1112, 927, 718, 1067, 579, 505, 367, 516, 394, 232, 111, 0), # 143
(1435, 1203, 1150, 1195, 1047, 486, 493, 453, 537, 233, 158, 93, 0, 1380, 1116, 931, 719, 1073, 581, 507, 370, 517, 399, 232, 112, 0), # 144
(1449, 1207, 1155, 1200, 1055, 489, 496, 455, 540, 235, 158, 93, 0, 1390, 1126, 938, 723, 1078, 585, 507, 371, 523, 405, 232, 112, 0), # 145
(1459, 1214, 1162, 1205, 1061, 490, 498, 460, 544, 242, 158, 94, 0, 1404, 1136, 943, 726, 1087, 589, 511, 375, 525, 408, 233, 113, 0), # 146
(1465, 1218, 1166, 1212, 1067, 491, 498, 462, 546, 243, 161, 96, 0, 1412, 1142, 950, 729, 1093, 591, 514, 378, 527, 411, 234, 113, 0), # 147
(1476, 1221, 1174, 1217, 1071, 494, 502, 463, 549, 247, 165, 96, 0, 1423, 1148, 952, 734, 1102, 593, 515, 379, 533, 414, 236, 113, 0), # 148
(1488, 1228, 1184, 1225, 1075, 496, 506, 465, 555, 248, 165, 96, 0, 1431, 1158, 955, 736, 1107, 594, 517, 381, 534, 415, 237, 114, 0), # 149
(1492, 1230, 1192, 1236, 1081, 499, 507, 471, 555, 250, 168, 99, 0, 1439, 1166, 960, 738, 1116, 597, 520, 387, 538, 416, 238, 114, 0), # 150
(1497, 1234, 1193, 1240, 1085, 501, 508, 474, 558, 251, 168, 101, 0, 1449, 1171, 965, 742, 1121, 603, 522, 391, 541, 419, 240, 114, 0), # 151
(1501, 1239, 1198, 1247, 1092, 503, 509, 476, 563, 251, 168, 102, 0, 1463, 1183, 968, 746, 1126, 606, 523, 392, 542, 421, 241, 115, 0), # 152
(1507, 1240, 1207, 1256, 1097, 504, 511, 477, 565, 251, 168, 102, 0, 1475, 1191, 976, 747, 1133, 613, 526, 392, 545, 422, 243, 115, 0), # 153
(1515, 1244, 1218, 1264, 1100, 508, 511, 481, 568, 254, 168, 103, 0, 1482, 1194, 982, 752, 1139, 619, 530, 393, 550, 424, 244, 115, 0), # 154
(1523, 1251, 1228, 1267, 1106, 514, 513, 482, 569, 256, 171, 103, 0, 1493, 1208, 990, 758, 1144, 621, 532, 395, 552, 427, 244, 115, 0), # 155
(1528, 1261, 1233, 1275, 1109, 516, 515, 486, 571, 256, 172, 104, 0, 1503, 1215, 994, 761, 1147, 625, 535, 396, 557, 430, 245, 115, 0), # 156
(1536, 1271, 1240, 1282, 1118, 516, 518, 487, 574, 258, 172, 106, 0, 1511, 1223, 1001, 765, 1152, 625, 536, 399, 560, 433, 245, 115, 0), # 157
(1544, 1273, 1245, 1293, 1123, 517, 519, 488, 577, 259, 173, 106, 0, 1515, 1226, 1012, 771, 1156, 628, 540, 402, 565, 436, 246, 115, 0), # 158
(1554, 1278, 1250, 1297, 1129, 523, 520, 488, 580, 261, 174, 107, 0, 1522, 1231, 1017, 775, 1163, 633, 543, 404, 566, 439, 248, 115, 0), # 159
(1561, 1282, 1258, 1302, 1134, 526, 521, 491, 584, 261, 175, 108, 0, 1534, 1238, 1020, 781, 1174, 635, 544, 407, 571, 440, 251, 115, 0), # 160
(1565, 1286, 1262, 1305, 1142, 529, 522, 495, 591, 262, 176, 110, 0, 1538, 1246, 1025, 786, 1182, 640, 546, 408, 573, 444, 251, 116, 0), # 161
(1571, 1289, 1268, 1315, 1149, 533, 524, 496, 595, 264, 177, 110, 0, 1542, 1252, 1031, 787, 1194, 643, 549, 409, 575, 445, 251, 116, 0), # 162
(1581, 1299, 1272, 1318, 1152, 539, 527, 500, 597, 264, 177, 110, 0, 1547, 1260, 1035, 791, 1202, 646, 550, 413, 577, 447, 251, 116, 0), # 163
(1592, 1301, 1280, 1327, 1158, 540, 532, 501, 600, 264, 180, 110, 0, 1548, 1265, 1038, 797, 1206, 648, 551, 415, 581, 451, 251, 117, 0), # 164
(1597, 1307, 1289, 1334, 1161, 541, 535, 503, 602, 265, 181, 110, 0, 1558, 1271, 1041, 800, 1215, 650, 552, 417, 585, 454, 251, 117, 0), # 165
(1603, 1311, 1293, 1339, 1167, 545, 536, 504, 606, 266, 181, 113, 0, 1561, 1276, 1045, 800, 1225, 655, 552, 420, 589, 454, 252, 118, 0), # 166
(1609, 1312, 1299, 1346, 1171, 546, 537, 504, 608, 268, 181, 114, 0, 1565, 1282, 1048, 805, 1232, 660, 553, 422, 593, 457, 252, 118, 0), # 167
(1610, 1317, 1302, 1351, 1175, 549, 539, 507, 608, 269, 181, 114, 0, 1573, 1287, 1054, 810, 1236, 662, 553, 422, 594, 462, 253, 118, 0), # 168
(1619, 1320, 1312, 1356, 1181, 549, 544, 510, 611, 270, 181, 114, 0, 1581, 1293, 1056, 814, 1245, 662, 555, 424, 598, 464, 253, 118, 0), # 169
(1629, 1323, 1320, 1363, 1186, 553, 547, 513, 612, 270, 181, 114, 0, 1582, 1296, 1059, 816, 1250, 665, 558, 425, 598, 467, 253, 120, 0), # 170
(1633, 1325, 1326, 1366, 1187, 555, 549, 513, 616, 270, 182, 114, 0, 1590, 1301, 1063, 820, 1253, 665, 560, 426, 603, 470, 253, 120, 0), # 171
(1636, 1330, 1330, 1367, 1187, 557, 552, 513, 620, 272, 183, 114, 0, 1595, 1307, 1065, 821, 1258, 668, 563, 430, 605, 472, 253, 120, 0), # 172
(1643, 1332, 1333, 1371, 1192, 559, 553, 515, 623, 275, 183, 114, 0, 1602, 1310, 1067, 826, 1262, 668, 564, 431, 606, 474, 253, 121, 0), # 173
(1648, 1334, 1338, 1377, 1193, 563, 556, 515, 627, 275, 184, 114, 0, 1609, 1316, 1068, 833, 1266, 669, 566, 432, 608, 475, 254, 121, 0), # 174
(1652, 1337, 1345, 1379, 1198, 566, 557, 518, 630, 275, 185, 114, 0, 1612, 1321, 1075, 835, 1272, 670, 566, 432, 609, 476, 255, 121, 0), # 175
(1654, 1339, 1350, 1381, 1205, 567, 560, 519, 633, 277, 185, 114, 0, 1623, 1326, 1076, 836, 1277, 672, 567, 433, 610, 480, 255, 121, 0), # 176
(1655, 1339, 1357, 1384, 1210, 570, 561, 519, 635, 278, 185, 115, 0, 1629, 1327, 1077, 840, 1281, 674, 569, 435, 612, 484, 255, 121, 0), # 177
(1656, 1343, 1362, 1387, 1213, 570, 561, 521, 636, 279, 185, 115, 0, 1634, 1330, 1080, 841, 1287, 676, 570, 435, 614, 485, 256, 121, 0), # 178
(1656, 1343, 1362, 1387, 1213, 570, 561, 521, 636, 279, 185, 115, 0, 1634, 1330, 1080, 841, 1287, 676, 570, 435, 614, 485, 256, 121, 0), # 179
)
passenger_arriving_rate = (
(5.020865578371768, 5.064847846385402, 4.342736024677089, 4.661000830397574, 3.7031237384064077, 1.8308820436884476, 2.0730178076869574, 1.938823405408093, 2.030033020722669, 0.9895037538805926, 0.7008775273142672, 0.4081595898588478, 0.0, 5.083880212578363, 4.489755488447325, 3.5043876365713356, 2.968511261641777, 4.060066041445338, 2.7143527675713304, 2.0730178076869574, 1.3077728883488913, 1.8515618692032039, 1.5536669434658585, 0.8685472049354179, 0.4604407133077639, 0.0), # 0
(5.354327152019974, 5.399222302966028, 4.629455492775127, 4.968858189957462, 3.948326891649491, 1.9518237573581576, 2.209734470631847, 2.066464051210712, 2.164081775444303, 1.0547451730692876, 0.7471826893260219, 0.4351013884011963, 0.0, 5.419791647439855, 4.786115272413158, 3.73591344663011, 3.164235519207862, 4.328163550888606, 2.8930496716949965, 2.209734470631847, 1.3941598266843982, 1.9741634458247455, 1.6562860633191545, 0.9258910985550255, 0.49083839117872996, 0.0), # 1
(5.686723008979731, 5.732269739983398, 4.915035237956178, 5.275490778498595, 4.192641982499829, 2.072282983465593, 2.345909253980352, 2.193593853293508, 2.297595602292516, 1.1197284437551367, 0.7933038581293855, 0.46193605433775464, 0.0, 5.75436482820969, 5.0812965977153, 3.9665192906469278, 3.3591853312654094, 4.595191204585032, 3.0710313946109116, 2.345909253980352, 1.480202131046852, 2.0963209912499146, 1.758496926166199, 0.9830070475912357, 0.5211154309075817, 0.0), # 2
(6.016757793146562, 6.062668793441743, 5.198342391099879, 5.579682305649055, 4.435107784001268, 2.191782029841316, 2.4810018208239777, 2.3197088156227115, 2.430045053640364, 1.1841956746065454, 0.8390580686378972, 0.4885571404108718, 0.0, 6.086272806254225, 5.374128544519589, 4.195290343189486, 3.5525870238196355, 4.860090107280728, 3.247592341871796, 2.4810018208239777, 1.5655585927437972, 2.217553892000634, 1.8598941018830188, 1.0396684782199759, 0.551151708494704, 0.0), # 3
(6.343136148415981, 6.389098099345293, 5.478244083085864, 5.880216481036927, 4.674763069197661, 2.3098432043158894, 2.6144718342542292, 2.444304942164548, 2.560900681860902, 1.24788897429192, 0.8842623557650959, 0.514858199362897, 0.0, 6.414188632939817, 5.6634401929918665, 4.42131177882548, 3.743666922875759, 5.121801363721804, 3.422026919030367, 2.6144718342542292, 1.6498880030827783, 2.3373815345988307, 1.9600721603456428, 1.095648816617173, 0.5808270999404813, 0.0), # 4
(6.66456271868351, 6.710236293698289, 5.753607444793765, 6.175877014290295, 4.910646611132853, 2.4259888147198754, 2.745778957362612, 2.566878236885247, 2.689633039327186, 1.310550451479666, 0.9287337544245222, 0.5407327839361791, 0.0, 6.736785359632827, 5.948060623297969, 4.64366877212261, 3.9316513544389973, 5.379266078654372, 3.593629531639346, 2.745778957362612, 1.7328491533713395, 2.4553233055664263, 2.058625671430099, 1.1507214889587531, 0.6100214812452991, 0.0), # 5
(6.979742147844666, 7.024762012504959, 6.023299607103222, 6.465447615037239, 5.141797182850695, 2.5397411688838374, 2.8743828532406313, 2.686924703751037, 2.8157126784122717, 1.3719222148381898, 0.9722892995297139, 0.5660744468730674, 0.0, 7.052736037699606, 6.22681891560374, 4.8614464976485685, 4.115766644514569, 5.631425356824543, 3.761694585251452, 2.8743828532406313, 1.8141008349170267, 2.5708985914253475, 2.1551492050124135, 1.2046599214206444, 0.6386147284095418, 0.0), # 6
(7.2873790797949685, 7.331353891769537, 6.286187700893863, 6.747711992905847, 5.367253557395036, 2.650622574638337, 2.9997431849797924, 2.8039403467281465, 2.9386101514892147, 1.4317463730358968, 1.0147460259942116, 0.5907767409159108, 0.0, 7.360713718506519, 6.498544150075018, 5.073730129971057, 4.2952391191076895, 5.877220302978429, 3.9255164854194056, 2.9997431849797924, 1.8933018390273837, 2.683626778697518, 2.249237330968616, 1.2572375401787725, 0.6664867174335943, 0.0), # 7
(7.586178158429934, 7.628690567496257, 6.54113885704533, 7.021453857524196, 5.586054507809724, 2.7581553398139356, 3.1213196156715988, 2.917421169782802, 3.0577960109310682, 1.4897650347411937, 1.0559209687315536, 0.6147332188070586, 0.0, 7.659391453419917, 6.762065406877643, 5.279604843657768, 4.469295104223581, 6.1155920218621365, 4.084389637695923, 3.1213196156715988, 1.970110957009954, 2.793027253904862, 2.3404846191747324, 1.3082277714090662, 0.6935173243178416, 0.0), # 8
(7.874844027645085, 7.915450675689353, 6.787020206437253, 7.285456918520376, 5.797238807138606, 2.861861772241199, 3.23857180840756, 3.0268631768812346, 3.1727408091108913, 1.5457203086224858, 1.0956311626552797, 0.6378374332888596, 0.0, 7.947442293806162, 7.016211766177453, 5.478155813276398, 4.637160925867456, 6.345481618221783, 4.237608447633728, 3.23857180840756, 2.044186980172285, 2.898619403569303, 2.4284856395067926, 1.3574040412874508, 0.7195864250626686, 0.0), # 9
(8.152081331335932, 8.190312852353056, 7.022698879949271, 7.538504885522466, 5.999845228425533, 2.961264179750688, 3.3509594262791773, 3.1317623719896712, 3.282915098401738, 1.599354303348179, 1.133693642678929, 0.6599829371036627, 0.0, 8.22353929103161, 7.259812308140289, 5.668468213394645, 4.798062910044536, 6.565830196803476, 4.384467320785539, 3.3509594262791773, 2.11518869982192, 2.9999226142127666, 2.5128349618408223, 1.4045397759898541, 0.7445738956684597, 0.0), # 10
(8.416594713398005, 8.451955733491605, 7.247042008461013, 7.779381468158547, 6.192912544714355, 3.055884870172965, 3.457942132377958, 3.2316147590743394, 3.3877894311766643, 1.6504091275866801, 1.1699254437160416, 0.6810632829938176, 0.0, 8.486355496462611, 7.491696112931993, 5.849627218580208, 4.951227382760039, 6.775578862353329, 4.524260662704076, 3.457942132377958, 2.1827749072664036, 3.0964562723571776, 2.5931271560528497, 1.4494084016922026, 0.7683596121356006, 0.0), # 11
(8.667088817726812, 8.699057955109222, 7.458916722852117, 8.006870376056709, 6.375479529048918, 3.1452461513385908, 3.5589795897954057, 3.325916342101467, 3.486834359808726, 1.6986268900063934, 1.2041436006801558, 0.7009720237016724, 0.0, 8.734563961465534, 7.710692260718395, 6.020718003400779, 5.095880670019179, 6.973668719617452, 4.656282878942054, 3.5589795897954057, 2.246604393813279, 3.187739764524459, 2.6689567920189035, 1.4917833445704234, 0.7908234504644749, 0.0), # 12
(8.902268288217876, 8.93029815321015, 7.657190154002218, 8.219755318845033, 6.546584954473067, 3.2288703310781304, 3.653531461623028, 3.414163125037284, 3.579520436670977, 1.7437496992757264, 1.2361651484848115, 0.7196027119695768, 0.0, 8.966837737406735, 7.915629831665344, 6.180825742424058, 5.2312490978271775, 7.159040873341954, 4.7798283750521975, 3.653531461623028, 2.306335950770093, 3.2732924772365335, 2.7399184396150114, 1.5314380308004438, 0.8118452866554684, 0.0), # 13
(9.120837768766716, 9.144354963798623, 7.840729432790956, 8.416820006151594, 6.705267594030659, 3.306279717222145, 3.7410574109523305, 3.4958511118480193, 3.6653182141364735, 1.785519664063084, 1.2658071220435476, 0.7368489005398801, 0.0, 9.181849875652563, 8.10533790593868, 6.329035610217737, 5.3565589921892505, 7.330636428272947, 4.894191556587227, 3.7410574109523305, 2.3616283694443894, 3.3526337970153297, 2.8056066687171985, 1.5681458865581912, 0.8313049967089657, 0.0), # 14
(9.321501903268855, 9.339907022878865, 8.008401690097953, 8.59684814760449, 6.850566220765538, 3.376996617601199, 3.821017100874813, 3.5704763064998986, 3.743698244578273, 1.823678893036873, 1.2928865562699035, 0.752604142154931, 0.0, 9.37827342756938, 8.27864556370424, 6.464432781349516, 5.471036679110618, 7.487396489156546, 4.998666829099858, 3.821017100874813, 2.4121404411437135, 3.425283110382769, 2.865616049201497, 1.6016803380195905, 0.8490824566253515, 0.0), # 15
(9.5029653356198, 9.51563296645512, 8.159074056802854, 8.758623452831788, 6.981519607721555, 3.4405433400458514, 3.892870194481988, 3.6375347129591504, 3.8141310803694286, 1.8579694948654994, 1.3172204860774188, 0.7667619895570784, 0.0, 9.554781444523545, 8.434381885127861, 6.586102430387094, 5.5739084845964975, 7.628262160738857, 5.092548598142811, 3.892870194481988, 2.4575309571756083, 3.4907598038607777, 2.9195411509439295, 1.6318148113605708, 0.8650575424050111, 0.0), # 16
(9.663932709715075, 9.670211430531618, 8.291613663785293, 8.900929631461583, 7.097166527942559, 3.4964421923866666, 3.9560763548653552, 3.6965223351920073, 3.8760872738829946, 1.8881335782173672, 1.3386259463796333, 0.7792159954886714, 0.0, 9.710046977881415, 8.571375950375383, 6.693129731898166, 5.6644007346521, 7.752174547765989, 5.17513126926881, 3.9560763548653552, 2.4974587088476192, 3.5485832639712793, 2.9669765438205284, 1.6583227327570589, 0.8791101300483289, 0.0), # 17
(9.803108669450204, 9.802321051112584, 8.404887641924901, 9.022550393121959, 7.1965457544723925, 3.5442154824542103, 4.010095245116426, 3.746935177164692, 3.929037377492032, 1.9139132517608846, 1.3569199720900849, 0.7898597126920597, 0.0, 9.842743079009345, 8.688456839612655, 6.784599860450424, 5.741739755282652, 7.858074754984064, 5.245709248030569, 4.010095245116426, 2.531582487467293, 3.5982728772361963, 3.0075167977073205, 1.6809775283849802, 0.8911200955556896, 0.0), # 18
(9.919197858720699, 9.910640464202265, 8.497763122101317, 9.122269447440985, 7.2786960603549105, 3.5833855180790386, 4.054386528326697, 3.7882692428434357, 3.9724519435695926, 1.9350506241644574, 1.3719195981223131, 0.7985866939095915, 0.0, 9.951542799273696, 8.784453633005505, 6.859597990611565, 5.80515187249337, 7.944903887139185, 5.30357693998081, 4.054386528326697, 2.55956108434217, 3.6393480301774552, 3.0407564824803295, 1.6995526244202632, 0.9009673149274788, 0.0), # 19
(10.010904921422082, 9.993848305804882, 8.569107235194169, 9.198870504046766, 7.342656218633962, 3.613474607091719, 4.088409867587681, 3.8200205361944657, 4.005801524488732, 1.95128780409649, 1.3834418593898585, 0.805290491883616, 0.0, 10.035119190040824, 8.858195410719775, 6.9172092969492915, 5.853863412289469, 8.011603048977465, 5.348028750672252, 4.088409867587681, 2.5810532907797996, 3.671328109316981, 3.0662901680155894, 1.713821447038834, 0.9085316641640803, 0.0), # 20
(10.076934501449866, 10.050623211924679, 8.6177871120831, 9.251137272567364, 7.387465002353392, 3.6340050573228124, 4.1116249259908795, 3.84168506118401, 4.028556672622507, 1.9623669002253892, 1.39130379080626, 0.8098646593564828, 0.0, 10.092145302677078, 8.90851125292131, 6.9565189540313, 5.887100700676166, 8.057113345245014, 5.378359085657614, 4.1116249259908795, 2.5957178980877234, 3.693732501176696, 3.0837124241891223, 1.72355742241662, 0.91369301926588, 0.0), # 21
(10.115991242699579, 10.079643818565883, 8.642669883647738, 9.277853462630876, 7.41216118455705, 3.644499176602881, 4.1234913666278, 3.852758821778298, 4.040187940343971, 1.968030021219561, 1.3953224272850568, 0.8122027490705409, 0.0, 10.121294188548827, 8.934230239775948, 6.976612136425284, 5.904090063658682, 8.080375880687942, 5.393862350489617, 4.1234913666278, 2.6032136975734863, 3.706080592278525, 3.09261782087696, 1.7285339767295478, 0.9163312562332622, 0.0), # 22
(10.13039336334264, 10.083079961133974, 8.645769318701419, 9.281198109567903, 7.418488037355065, 3.6458333333333335, 4.124902001129669, 3.8539557613168727, 4.0416420781893, 1.9686980681298587, 1.3958263395269568, 0.8124914647157445, 0.0, 10.125, 8.93740611187319, 6.9791316976347835, 5.906094204389575, 8.0832841563786, 5.395538065843622, 4.124902001129669, 2.604166666666667, 3.7092440186775324, 3.0937327031893016, 1.729153863740284, 0.9166436328303613, 0.0), # 23
(10.141012413034153, 10.08107561728395, 8.645262345679013, 9.280786458333335, 7.422071742409901, 3.6458333333333335, 4.124126906318083, 3.852291666666667, 4.041447222222222, 1.968287654320988, 1.39577076318743, 0.8124238683127573, 0.0, 10.125, 8.936662551440328, 6.978853815937151, 5.904862962962962, 8.082894444444443, 5.393208333333334, 4.124126906318083, 2.604166666666667, 3.7110358712049507, 3.0935954861111123, 1.7290524691358027, 0.9164614197530866, 0.0), # 24
(10.15140723021158, 10.077124771376313, 8.644261545496114, 9.279972029320987, 7.4255766303963355, 3.6458333333333335, 4.122599451303155, 3.8490226337448563, 4.041062242798354, 1.96747970964792, 1.3956605665710604, 0.8122904282883707, 0.0, 10.125, 8.935194711172077, 6.978302832855302, 5.902439128943758, 8.082124485596708, 5.388631687242799, 4.122599451303155, 2.604166666666667, 3.7127883151981678, 3.0933240097736636, 1.728852309099223, 0.9161022519433014, 0.0), # 25
(10.161577019048034, 10.071287780064015, 8.642780635573846, 9.278764081790122, 7.429002578947403, 3.6458333333333335, 4.120343359154361, 3.8442103909465026, 4.0404920781893, 1.9662876771833566, 1.3954967473084758, 0.8120929736320684, 0.0, 10.125, 8.933022709952752, 6.977483736542379, 5.898863031550069, 8.0809841563786, 5.381894547325103, 4.120343359154361, 2.604166666666667, 3.7145012894737013, 3.0929213605967085, 1.7285561271147696, 0.915571616369456, 0.0), # 26
(10.171520983716636, 10.063624999999998, 8.640833333333333, 9.277171874999999, 7.432349465696142, 3.6458333333333335, 4.117382352941177, 3.837916666666667, 4.039741666666666, 1.9647250000000003, 1.3952803030303031, 0.8118333333333335, 0.0, 10.125, 8.930166666666667, 6.976401515151515, 5.894175, 8.079483333333332, 5.373083333333334, 4.117382352941177, 2.604166666666667, 3.716174732848071, 3.0923906250000006, 1.7281666666666669, 0.914875, 0.0), # 27
(10.181238328390501, 10.054196787837219, 8.638433356195703, 9.275204668209877, 7.4356171682756, 3.6458333333333335, 4.113740155733075, 3.830203189300412, 4.038815946502057, 1.9628051211705537, 1.3950122313671698, 0.8115133363816492, 0.0, 10.125, 8.926646700198141, 6.9750611568358485, 5.88841536351166, 8.077631893004114, 5.3622844650205765, 4.113740155733075, 2.604166666666667, 3.7178085841378, 3.091734889403293, 1.7276866712391405, 0.9140178898033837, 0.0), # 28
(10.19072825724275, 10.043063500228623, 8.635594421582077, 9.272871720679012, 7.438805564318813, 3.6458333333333335, 4.109440490599533, 3.821131687242798, 4.037719855967078, 1.9605414837677189, 1.3946935299497027, 0.811134811766499, 0.0, 10.125, 8.922482929431489, 6.973467649748514, 5.881624451303155, 8.075439711934155, 5.349584362139917, 4.109440490599533, 2.604166666666667, 3.7194027821594067, 3.0909572402263383, 1.7271188843164156, 0.9130057727480568, 0.0), # 29
(10.199989974446497, 10.03028549382716, 8.63233024691358, 9.270182291666666, 7.441914531458824, 3.6458333333333335, 4.104507080610022, 3.8107638888888884, 4.036458333333333, 1.957947530864198, 1.39432519640853, 0.8106995884773662, 0.0, 10.125, 8.917695473251028, 6.9716259820426485, 5.873842592592593, 8.072916666666666, 5.335069444444444, 4.104507080610022, 2.604166666666667, 3.720957265729412, 3.0900607638888897, 1.7264660493827162, 0.9118441358024693, 0.0), # 30
(10.209022684174858, 10.01592312528578, 8.62865454961134, 9.267145640432098, 7.444943947328672, 3.6458333333333335, 4.09896364883402, 3.799161522633745, 4.035036316872428, 1.9550367055326936, 1.3939082283742779, 0.8102094955037343, 0.0, 10.125, 8.912304450541077, 6.969541141871389, 5.865110116598079, 8.070072633744855, 5.318826131687243, 4.09896364883402, 2.604166666666667, 3.722471973664336, 3.0890485468107003, 1.7257309099222682, 0.910538465935071, 0.0), # 31
(10.217825590600954, 10.00003675125743, 8.624581047096479, 9.263771026234568, 7.447893689561397, 3.6458333333333335, 4.092833918340999, 3.7863863168724285, 4.033458744855967, 1.951822450845908, 1.3934436234775742, 0.8096663618350862, 0.0, 10.125, 8.906329980185948, 6.96721811738787, 5.8554673525377225, 8.066917489711933, 5.3009408436214, 4.092833918340999, 2.604166666666667, 3.7239468447806985, 3.0879236754115236, 1.7249162094192958, 0.909094250114312, 0.0), # 32
(10.226397897897897, 9.98268672839506, 8.620123456790123, 9.260067708333333, 7.450763635790041, 3.6458333333333335, 4.086141612200436, 3.7725000000000004, 4.031730555555555, 1.9483182098765437, 1.392932379349046, 0.8090720164609053, 0.0, 10.125, 8.899792181069957, 6.96466189674523, 5.84495462962963, 8.06346111111111, 5.2815, 4.086141612200436, 2.604166666666667, 3.7253818178950207, 3.086689236111112, 1.724024691358025, 0.9075169753086421, 0.0), # 33
(10.23473881023881, 9.963933413351622, 8.615295496113397, 9.256044945987654, 7.453553663647644, 3.6458333333333335, 4.078910453481805, 3.7575643004115222, 4.029856687242798, 1.9445374256973027, 1.3923754936193207, 0.8084282883706753, 0.0, 10.125, 8.892711172077426, 6.961877468096604, 5.833612277091907, 8.059713374485597, 5.260590020576132, 4.078910453481805, 2.604166666666667, 3.726776831823822, 3.085348315329219, 1.7230590992226795, 0.9058121284865113, 0.0), # 34
(10.242847531796807, 9.943837162780063, 8.610110882487428, 9.25171199845679, 7.456263650767246, 3.6458333333333335, 4.071164165254579, 3.741640946502058, 4.0278420781893, 1.9404935413808875, 1.3917739639190256, 0.807737006553879, 0.0, 10.125, 8.88510707209267, 6.958869819595128, 5.821480624142661, 8.0556841563786, 5.238297325102881, 4.071164165254579, 2.604166666666667, 3.728131825383623, 3.0839039994855972, 1.7220221764974855, 0.9039851966163696, 0.0), # 35
(10.250723266745005, 9.922458333333331, 8.604583333333334, 9.247078125, 7.45889347478189, 3.6458333333333335, 4.062926470588235, 3.724791666666667, 4.025691666666666, 1.9362000000000004, 1.391128787878788, 0.8070000000000002, 0.0, 10.125, 8.877, 6.95564393939394, 5.8086, 8.051383333333332, 5.214708333333334, 4.062926470588235, 2.604166666666667, 3.729446737390945, 3.0823593750000007, 1.7209166666666669, 0.9020416666666666, 0.0), # 36
(10.258365219256524, 9.89985728166438, 8.598726566072246, 9.242152584876543, 7.4614430133246135, 3.6458333333333335, 4.054221092552247, 3.707078189300412, 4.023410390946502, 1.931670244627344, 1.3904409631292352, 0.8062190976985216, 0.0, 10.125, 8.868410074683737, 6.952204815646175, 5.79501073388203, 8.046820781893004, 5.189909465020577, 4.054221092552247, 2.604166666666667, 3.7307215066623067, 3.080717528292182, 1.7197453132144491, 0.8999870256058529, 0.0), # 37
(10.265772593504476, 9.876094364426155, 8.592554298125286, 9.23694463734568, 7.46391214402846, 3.6458333333333335, 4.04507175421609, 3.6885622427983544, 4.021003189300411, 1.92691771833562, 1.3897114873009937, 0.8053961286389272, 0.0, 10.125, 8.859357415028198, 6.948557436504967, 5.780753155006859, 8.042006378600822, 5.163987139917697, 4.04507175421609, 2.604166666666667, 3.73195607201423, 3.078981545781894, 1.7185108596250571, 0.8978267604023779, 0.0), # 38
(10.272944593661986, 9.851229938271604, 8.586080246913582, 9.231463541666667, 7.466300744526468, 3.6458333333333335, 4.035502178649238, 3.6693055555555554, 4.0184750000000005, 1.9219558641975314, 1.3889413580246914, 0.8045329218106996, 0.0, 10.125, 8.849862139917693, 6.944706790123457, 5.765867592592593, 8.036950000000001, 5.137027777777778, 4.035502178649238, 2.604166666666667, 3.733150372263234, 3.07715451388889, 1.7172160493827164, 0.8955663580246914, 0.0), # 39
(10.279880423902163, 9.82532435985368, 8.579318129858253, 9.225718557098766, 7.468608692451679, 3.6458333333333335, 4.025536088921165, 3.649369855967079, 4.015830761316872, 1.9167981252857802, 1.3881315729309558, 0.8036313062033228, 0.0, 10.125, 8.83994436823655, 6.940657864654778, 5.750394375857339, 8.031661522633744, 5.1091177983539104, 4.025536088921165, 2.604166666666667, 3.7343043462258394, 3.0752395190329227, 1.7158636259716507, 0.8932113054412438, 0.0), # 40
(10.286579288398128, 9.79843798582533, 8.57228166438043, 9.219718942901235, 7.4708358654371345, 3.6458333333333335, 4.015197208101347, 3.628816872427984, 4.0130754115226335, 1.9114579446730684, 1.3872831296504138, 0.8026931108062796, 0.0, 10.125, 8.829624218869075, 6.936415648252069, 5.734373834019204, 8.026150823045267, 5.0803436213991775, 4.015197208101347, 2.604166666666667, 3.7354179327185673, 3.073239647633746, 1.7144563328760862, 0.8907670896204848, 0.0), # 41
(10.293040391323, 9.770631172839506, 8.564984567901236, 9.213473958333335, 7.472982141115872, 3.6458333333333335, 4.004509259259259, 3.6077083333333335, 4.010213888888889, 1.9059487654320992, 1.3863970258136926, 0.8017201646090536, 0.0, 10.125, 8.818921810699589, 6.931985129068463, 5.717846296296297, 8.020427777777778, 5.050791666666667, 4.004509259259259, 2.604166666666667, 3.736491070557936, 3.0711579861111122, 1.7129969135802474, 0.8882391975308643, 0.0), # 42
(10.299262936849892, 9.741964277549155, 8.557440557841794, 9.206992862654321, 7.475047397120935, 3.6458333333333335, 3.993495965464375, 3.58610596707819, 4.007251131687243, 1.9002840306355744, 1.3854742590514195, 0.800714296601128, 0.0, 10.125, 8.807857262612407, 6.927371295257098, 5.700852091906722, 8.014502263374485, 5.020548353909466, 3.993495965464375, 2.604166666666667, 3.7375236985604676, 3.0689976208847747, 1.7114881115683587, 0.8856331161408324, 0.0), # 43
(10.305246129151927, 9.712497656607225, 8.549663351623229, 9.200284915123458, 7.477031511085363, 3.6458333333333335, 3.9821810497861696, 3.564071502057614, 4.0041920781893, 1.8944771833561962, 1.3845158269942222, 0.7996773357719861, 0.0, 10.125, 8.796450693491845, 6.92257913497111, 5.683431550068587, 8.0083841563786, 4.98970010288066, 3.9821810497861696, 2.604166666666667, 3.7385157555426813, 3.0667616383744867, 1.709932670324646, 0.8829543324188387, 0.0), # 44
(10.310989172402216, 9.682291666666666, 8.541666666666668, 9.193359375, 7.478934360642197, 3.6458333333333335, 3.9705882352941178, 3.541666666666667, 4.001041666666666, 1.8885416666666672, 1.3835227272727273, 0.798611111111111, 0.0, 10.125, 8.784722222222221, 6.917613636363637, 5.665625, 8.002083333333331, 4.958333333333334, 3.9705882352941178, 2.604166666666667, 3.7394671803210984, 3.064453125000001, 1.7083333333333335, 0.8802083333333335, 0.0), # 45
(10.31649127077388, 9.65140666438043, 8.533464220393233, 9.186225501543209, 7.480755823424477, 3.6458333333333335, 3.958741245057694, 3.518953189300412, 3.997804835390946, 1.8824909236396894, 1.3824959575175624, 0.7975174516079867, 0.0, 10.125, 8.772691967687852, 6.912479787587812, 5.647472770919067, 7.995609670781892, 4.926534465020577, 3.958741245057694, 2.604166666666667, 3.7403779117122387, 3.062075167181071, 1.7066928440786466, 0.8774006058527665, 0.0), # 46
(10.321751628440035, 9.619903006401461, 8.525069730224052, 9.178892554012345, 7.482495777065244, 3.6458333333333335, 3.9466638021463734, 3.4959927983539094, 3.994486522633745, 1.8763383973479657, 1.3814365153593549, 0.7963981862520958, 0.0, 10.125, 8.760380048773053, 6.9071825767967745, 5.629015192043896, 7.98897304526749, 4.894389917695474, 3.9466638021463734, 2.604166666666667, 3.741247888532622, 3.0596308513374493, 1.7050139460448106, 0.8745366369455876, 0.0), # 47
(10.326769449573796, 9.587841049382716, 8.516496913580248, 9.171369791666667, 7.48415409919754, 3.6458333333333335, 3.9343796296296296, 3.4728472222222226, 3.9910916666666667, 1.8700975308641978, 1.3803453984287317, 0.7952551440329219, 0.0, 10.125, 8.74780658436214, 6.901726992143659, 5.610292592592592, 7.982183333333333, 4.861986111111112, 3.9343796296296296, 2.604166666666667, 3.74207704959877, 3.05712326388889, 1.7032993827160496, 0.871621913580247, 0.0), # 48
(10.331543938348286, 9.555281149977136, 8.507759487882945, 9.163666473765433, 7.485730667454405, 3.6458333333333335, 3.9219124505769383, 3.4495781893004116, 3.987625205761317, 1.8637817672610888, 1.3792236043563206, 0.7940901539399483, 0.0, 10.125, 8.73499169333943, 6.896118021781603, 5.5913453017832655, 7.975250411522634, 4.829409465020577, 3.9219124505769383, 2.604166666666667, 3.7428653337272024, 3.054555491255145, 1.7015518975765893, 0.8686619227251944, 0.0), # 49
(10.336074298936616, 9.522283664837678, 8.49887117055327, 9.155791859567902, 7.4872253594688765, 3.6458333333333335, 3.909285988057775, 3.4262474279835393, 3.9840920781893, 1.85740454961134, 1.3780721307727481, 0.7929050449626583, 0.0, 10.125, 8.72195549458924, 6.89036065386374, 5.572213648834019, 7.9681841563786, 4.796746399176955, 3.909285988057775, 2.604166666666667, 3.7436126797344382, 3.051930619855968, 1.6997742341106543, 0.86566215134888, 0.0), # 50
(10.34035973551191, 9.488908950617283, 8.489845679012346, 9.147755208333333, 7.488638052873998, 3.6458333333333335, 3.896523965141612, 3.4029166666666666, 3.9804972222222226, 1.8509793209876546, 1.3768919753086422, 0.7917016460905352, 0.0, 10.125, 8.708718106995885, 6.884459876543211, 5.552937962962963, 7.960994444444445, 4.764083333333334, 3.896523965141612, 2.604166666666667, 3.744319026436999, 3.049251736111112, 1.6979691358024693, 0.8626280864197532, 0.0), # 51
(10.344399452247279, 9.455217363968908, 8.480696730681299, 9.139565779320987, 7.489968625302809, 3.6458333333333335, 3.883650104897926, 3.3796476337448556, 3.976845576131687, 1.8445195244627348, 1.3756841355946297, 0.7904817863130622, 0.0, 10.125, 8.695299649443683, 6.878420677973147, 5.533558573388203, 7.953691152263374, 4.731506687242798, 3.883650104897926, 2.604166666666667, 3.7449843126514044, 3.04652192644033, 1.69613934613626, 0.8595652149062645, 0.0), # 52
(10.348192653315843, 9.421269261545497, 8.471438042981255, 9.131232831790122, 7.491216954388353, 3.6458333333333335, 3.8706881303961915, 3.3565020576131688, 3.9731420781893005, 1.8380386031092826, 1.3744496092613379, 0.7892472946197227, 0.0, 10.125, 8.681720240816947, 6.872248046306688, 5.514115809327846, 7.946284156378601, 4.699102880658437, 3.8706881303961915, 2.604166666666667, 3.7456084771941764, 3.043744277263375, 1.694287608596251, 0.8564790237768635, 0.0), # 53
(10.351738542890716, 9.387125000000001, 8.462083333333332, 9.122765625, 7.492382917763668, 3.6458333333333335, 3.8576617647058824, 3.333541666666666, 3.9693916666666667, 1.8315500000000005, 1.3731893939393938, 0.788, 0.0, 10.125, 8.668, 6.865946969696969, 5.49465, 7.938783333333333, 4.666958333333333, 3.8576617647058824, 2.604166666666667, 3.746191458881834, 3.040921875000001, 1.6924166666666667, 0.8533750000000002, 0.0), # 54
(10.355036325145022, 9.352844935985367, 8.452646319158665, 9.114173418209877, 7.493466393061793, 3.6458333333333335, 3.844594730896474, 3.3108281893004117, 3.9655992798353905, 1.8250671582075908, 1.3719044872594257, 0.7867417314433777, 0.0, 10.125, 8.654159045877153, 6.859522436297127, 5.4752014746227715, 7.931198559670781, 4.6351594650205765, 3.844594730896474, 2.604166666666667, 3.7467331965308963, 3.0380578060699595, 1.6905292638317333, 0.8502586305441244, 0.0), # 55
(10.358085204251871, 9.31848942615455, 8.443140717878373, 9.105465470679011, 7.4944672579157725, 3.6458333333333335, 3.8315107520374405, 3.288423353909465, 3.961769855967078, 1.818603520804756, 1.3705958868520598, 0.7854743179393385, 0.0, 10.125, 8.640217497332722, 6.852979434260299, 5.455810562414267, 7.923539711934156, 4.603792695473251, 3.8315107520374405, 2.604166666666667, 3.7472336289578863, 3.035155156893005, 1.6886281435756747, 0.8471354023776865, 0.0), # 56
(10.360884384384383, 9.284118827160494, 8.433580246913582, 9.096651041666666, 7.495385389958644, 3.6458333333333335, 3.818433551198257, 3.2663888888888892, 3.957908333333333, 1.812172530864198, 1.369264590347924, 0.7841995884773663, 0.0, 10.125, 8.626195473251027, 6.8463229517396185, 5.436517592592593, 7.915816666666666, 4.572944444444445, 3.818433551198257, 2.604166666666667, 3.747692694979322, 3.0322170138888898, 1.6867160493827165, 0.844010802469136, 0.0), # 57
(10.36343306971568, 9.24979349565615, 8.423978623685414, 9.087739390432098, 7.496220666823449, 3.6458333333333335, 3.8053868514483984, 3.2447865226337447, 3.954019650205761, 1.8057876314586196, 1.367911595377645, 0.7829193720469442, 0.0, 10.125, 8.612113092516385, 6.8395579768882255, 5.417362894375858, 7.908039300411522, 4.5427011316872425, 3.8053868514483984, 2.604166666666667, 3.7481103334117245, 3.029246463477367, 1.684795724737083, 0.8408903177869229, 0.0), # 58
(10.36573046441887, 9.215573788294467, 8.414349565614998, 9.078739776234567, 7.49697296614323, 3.6458333333333335, 3.792394375857339, 3.2236779835390945, 3.9501087448559673, 1.799462265660723, 1.3665378995718502, 0.7816354976375554, 0.0, 10.125, 8.597990474013107, 6.83268949785925, 5.398386796982168, 7.900217489711935, 4.513149176954733, 3.792394375857339, 2.604166666666667, 3.748486483071615, 3.02624659207819, 1.6828699131229998, 0.8377794352994972, 0.0), # 59
(10.367775772667077, 9.181520061728396, 8.404706790123456, 9.069661458333334, 7.497642165551024, 3.6458333333333335, 3.779479847494553, 3.203125, 3.946180555555556, 1.7932098765432103, 1.3651445005611673, 0.7803497942386832, 0.0, 10.125, 8.583847736625515, 6.825722502805837, 5.37962962962963, 7.892361111111112, 4.484375, 3.779479847494553, 2.604166666666667, 3.748821082775512, 3.023220486111112, 1.6809413580246915, 0.8346836419753088, 0.0), # 60
(10.369568198633415, 9.147692672610884, 8.395064014631917, 9.060513695987654, 7.498228142679874, 3.6458333333333335, 3.7666669894295164, 3.183189300411523, 3.9422400205761314, 1.7870439071787843, 1.3637323959762233, 0.7790640908398111, 0.0, 10.125, 8.56970499923792, 6.818661979881115, 5.361131721536351, 7.884480041152263, 4.456465020576132, 3.7666669894295164, 2.604166666666667, 3.749114071339937, 3.0201712319958856, 1.6790128029263836, 0.8316084247828076, 0.0), # 61
(10.371106946491004, 9.114151977594878, 8.385434956561502, 9.051305748456791, 7.498730775162823, 3.6458333333333335, 3.753979524731703, 3.1639326131687247, 3.9382920781893, 1.7809778006401469, 1.3623025834476452, 0.7777802164304223, 0.0, 10.125, 8.555582380734645, 6.811512917238226, 5.3429334019204395, 7.8765841563786, 4.429505658436215, 3.753979524731703, 2.604166666666667, 3.7493653875814115, 3.0171019161522645, 1.6770869913123003, 0.8285592706904436, 0.0), # 62
(10.37239122041296, 9.080958333333333, 8.375833333333334, 9.042046875, 7.499149940632904, 3.6458333333333335, 3.741441176470588, 3.1454166666666667, 3.9343416666666666, 1.7750250000000003, 1.360856060606061, 0.7765000000000001, 0.0, 10.125, 8.5415, 6.804280303030303, 5.325075, 7.868683333333333, 4.403583333333334, 3.741441176470588, 2.604166666666667, 3.749574970316452, 3.014015625000001, 1.675166666666667, 0.8255416666666667, 0.0), # 63
(10.373420224572397, 9.048172096479195, 8.366272862368541, 9.032746334876544, 7.4994855167231655, 3.6458333333333335, 3.729075667715646, 3.127703189300412, 3.9303937242798352, 1.7691989483310475, 1.3593938250820965, 0.7752252705380279, 0.0, 10.125, 8.527477975918305, 6.796969125410483, 5.307596844993141, 7.8607874485596705, 4.378784465020577, 3.729075667715646, 2.604166666666667, 3.7497427583615828, 3.0109154449588487, 1.6732545724737085, 0.822561099679927, 0.0), # 64
(10.374193163142438, 9.015853623685413, 8.35676726108825, 9.023413387345679, 7.499737381066645, 3.6458333333333335, 3.7169067215363514, 3.1108539094650207, 3.9264531893004113, 1.7635130887059902, 1.357916874506381, 0.7739578570339887, 0.0, 10.125, 8.513536427373873, 6.7895843725319045, 5.290539266117969, 7.852906378600823, 4.355195473251029, 3.7169067215363514, 2.604166666666667, 3.7498686905333223, 3.0078044624485605, 1.67135345221765, 0.819623056698674, 0.0), # 65
(10.374709240296196, 8.984063271604938, 8.34733024691358, 9.014057291666667, 7.499905411296382, 3.6458333333333335, 3.7049580610021784, 3.094930555555556, 3.9225250000000003, 1.7579808641975312, 1.3564262065095398, 0.7726995884773664, 0.0, 10.125, 8.499695473251029, 6.782131032547699, 5.273942592592592, 7.8450500000000005, 4.332902777777778, 3.7049580610021784, 2.604166666666667, 3.749952705648191, 3.0046857638888897, 1.6694660493827165, 0.8167330246913582, 0.0), # 66
(10.374967660206792, 8.952861396890716, 8.337975537265661, 9.004687307098765, 7.499989485045419, 3.6458333333333335, 3.693253409182603, 3.0799948559670787, 3.9186140946502057, 1.7526157178783728, 1.3549228187222018, 0.7714522938576437, 0.0, 10.125, 8.485975232434079, 6.774614093611008, 5.257847153635117, 7.837228189300411, 4.31199279835391, 3.693253409182603, 2.604166666666667, 3.7499947425227096, 3.001562435699589, 1.6675951074531323, 0.8138964906264289, 0.0), # 67
(10.374791614480825, 8.922144586043629, 8.328671624942844, 8.995231305354269, 7.499918636864896, 3.645765673423767, 3.681757597414823, 3.0659766041761927, 3.9146959495503735, 1.747405110411792, 1.3533809980900628, 0.770210835158312, 0.0, 10.124875150034294, 8.47231918674143, 6.766904990450313, 5.242215331235375, 7.829391899100747, 4.29236724584667, 3.681757597414823, 2.604118338159833, 3.749959318432448, 2.99841043511809, 1.6657343249885688, 0.8111040532766937, 0.0), # 68
(10.373141706924315, 8.890975059737157, 8.319157021604937, 8.985212635869564, 7.499273783587508, 3.6452307956104257, 3.6701340906733066, 3.052124485596708, 3.910599279835391, 1.7422015976761076, 1.3516438064859118, 0.7689349144466104, 0.0, 10.12388599537037, 8.458284058912714, 6.758219032429559, 5.226604793028321, 7.821198559670782, 4.272974279835391, 3.6701340906733066, 2.6037362825788755, 3.749636891793754, 2.9950708786231885, 1.6638314043209876, 0.8082704599761052, 0.0), # 69
(10.369885787558895, 8.859209754856408, 8.309390360653863, 8.974565343196456, 7.497999542752628, 3.6441773992785653, 3.658330067280685, 3.0383135192805977, 3.9063009640298736, 1.736979881115684, 1.3496914810876801, 0.7676185634410675, 0.0, 10.121932334533609, 8.44380419785174, 6.7484574054383994, 5.210939643347051, 7.812601928059747, 4.253638926992837, 3.658330067280685, 2.6029838566275467, 3.748999771376314, 2.991521781065486, 1.6618780721307727, 0.8053827049869463, 0.0), # 70
(10.365069660642929, 8.826867654542236, 8.299375071444901, 8.963305127818035, 7.496112052502757, 3.6426225549966977, 3.646350829769494, 3.0245482777015704, 3.9018074035970125, 1.7317400898356603, 1.347531228463977, 0.7662627447677263, 0.0, 10.119039887688615, 8.428890192444989, 6.737656142319885, 5.195220269506979, 7.803614807194025, 4.234367588782199, 3.646350829769494, 2.6018732535690696, 3.7480560262513785, 2.987768375939346, 1.6598750142889804, 0.8024425140492942, 0.0), # 71
(10.358739130434783, 8.793967741935482, 8.289114583333333, 8.95144769021739, 7.493627450980392, 3.6405833333333337, 3.634201680672269, 3.0108333333333333, 3.897125, 1.7264823529411768, 1.3451702551834133, 0.7648684210526316, 0.0, 10.115234375, 8.413552631578947, 6.7258512759170666, 5.179447058823529, 7.79425, 4.215166666666667, 3.634201680672269, 2.600416666666667, 3.746813725490196, 2.983815896739131, 1.6578229166666667, 0.7994516129032258, 0.0), # 72
(10.35094000119282, 8.760529000176998, 8.27861232567444, 8.939008730877617, 7.490561876328034, 3.638076804856983, 3.621887922521546, 2.9971732586495965, 3.8922601547020275, 1.7212067995373737, 1.3426157678145982, 0.7634365549218266, 0.0, 10.110541516632374, 8.397802104140093, 6.71307883907299, 5.163620398612119, 7.784520309404055, 4.196042562109435, 3.621887922521546, 2.598626289183559, 3.745280938164017, 2.979669576959206, 1.655722465134888, 0.7964117272888181, 0.0), # 73
(10.341718077175404, 8.726570412407629, 8.267871727823502, 8.926003950281803, 7.486931466688183, 3.6351200401361585, 3.609414857849861, 2.9835726261240665, 3.8872192691662857, 1.7159135587293908, 1.3398749729261428, 0.7619681090013557, 0.0, 10.104987032750344, 8.38164919901491, 6.699374864630713, 5.147740676188171, 7.774438538332571, 4.177001676573693, 3.609414857849861, 2.5965143143829703, 3.7434657333440917, 2.975334650093935, 1.6535743455647005, 0.7933245829461482, 0.0), # 74
(10.331119162640901, 8.692110961768218, 8.256896219135802, 8.912449048913043, 7.482752360203341, 3.6317301097393697, 3.59678778918975, 2.9700360082304527, 3.8820087448559666, 1.7106027596223679, 1.336955077086656, 0.7604640459172624, 0.0, 10.098596643518519, 8.365104505089885, 6.684775385433279, 5.131808278867102, 7.764017489711933, 4.158050411522634, 3.59678778918975, 2.594092935528121, 3.7413761801016703, 2.9708163496376816, 1.6513792438271604, 0.7901919056152927, 0.0), # 75
(10.319189061847677, 8.65716963139962, 8.245689228966622, 8.898359727254428, 7.478040695016003, 3.6279240842351275, 3.5840120190737474, 2.956567977442463, 3.876634983234263, 1.7052745313214452, 1.3338632868647486, 0.7589253282955902, 0.0, 10.091396069101508, 8.348178611251491, 6.669316434323743, 5.115823593964334, 7.753269966468526, 4.139195168419449, 3.5840120190737474, 2.5913743458822336, 3.7390203475080015, 2.96611990908481, 1.6491378457933243, 0.7870154210363293, 0.0), # 76
(10.305973579054093, 8.621765404442675, 8.234254186671238, 8.883751685789049, 7.472812609268672, 3.6237190341919425, 3.5710928500343897, 2.9431731062338065, 3.871104385764365, 1.699929002931763, 1.3306068088290313, 0.7573529187623839, 0.0, 10.083411029663925, 8.330882106386222, 6.653034044145156, 5.099787008795288, 7.74220877152873, 4.120442348727329, 3.5710928500343897, 2.58837073870853, 3.736406304634336, 2.9612505619296834, 1.6468508373342476, 0.7837968549493343, 0.0), # 77
(10.291518518518519, 8.585917264038233, 8.222594521604938, 8.868640625, 7.467084241103849, 3.6191320301783265, 3.5580355846042124, 2.9298559670781894, 3.8654233539094642, 1.6945663035584608, 1.327192849548113, 0.7557477799436866, 0.0, 10.074667245370371, 8.313225579380552, 6.635964247740564, 5.083698910675381, 7.7308467078189285, 4.101798353909466, 3.5580355846042124, 2.585094307270233, 3.7335421205519244, 2.956213541666667, 1.6445189043209878, 0.7805379330943849, 0.0), # 78
(10.275869684499314, 8.549644193327138, 8.210713663123, 8.85304224537037, 7.460871728664031, 3.61418014276279, 3.5448455253157505, 2.916621132449322, 3.859598289132754, 1.6891865623066789, 1.3236286155906039, 0.7541108744655421, 0.0, 10.065190436385459, 8.295219619120962, 6.618143077953018, 5.067559686920035, 7.719196578265508, 4.083269585429051, 3.5448455253157505, 2.5815572448305644, 3.7304358643320157, 2.951014081790124, 1.6421427326246, 0.7772403812115581, 0.0), # 79
(10.259072881254847, 8.51296517545024, 8.198615040580703, 8.836972247383253, 7.454191210091719, 3.6088804425138448, 3.5315279747015405, 2.9034731748209115, 3.853635592897424, 1.683789908281557, 1.3199213135251149, 0.7524431649539947, 0.0, 10.0550063228738, 8.27687481449394, 6.599606567625574, 5.05136972484467, 7.707271185794848, 4.064862444749276, 3.5315279747015405, 2.577771744652746, 3.7270956050458595, 2.945657415794418, 1.639723008116141, 0.7739059250409311, 0.0), # 80
(10.241173913043479, 8.475899193548386, 8.186302083333333, 8.82044633152174, 7.447058823529411, 3.60325, 3.5180882352941176, 2.890416666666667, 3.8475416666666664, 1.6783764705882358, 1.3160781499202554, 0.7507456140350878, 0.0, 10.044140624999999, 8.258201754385965, 6.580390749601277, 5.035129411764706, 7.695083333333333, 4.046583333333333, 3.5180882352941176, 2.57375, 3.7235294117647055, 2.940148777173914, 1.6372604166666667, 0.7705362903225808, 0.0), # 81
(10.222218584123576, 8.438465230762423, 8.17377822073617, 8.803480198268922, 7.43949070711961, 3.5973058857897686, 3.504531609626018, 2.8774561804602956, 3.841322911903673, 1.6729463783318543, 1.3121063313446355, 0.7490191843348656, 0.0, 10.03261906292867, 8.23921102768352, 6.560531656723177, 5.018839134995561, 7.682645823807346, 4.0284386526444145, 3.504531609626018, 2.5695042041355487, 3.719745353559805, 2.934493399422974, 1.634755644147234, 0.767133202796584, 0.0), # 82
(10.202252698753504, 8.400682270233196, 8.16104688214449, 8.78608954810789, 7.431502999004814, 3.591065170451659, 3.4908634002297765, 2.8645962886755068, 3.8349857300716352, 1.6674997606175532, 1.3080130643668657, 0.7472648384793719, 0.0, 10.020467356824417, 8.219913223273089, 6.540065321834328, 5.002499281852659, 7.6699714601432705, 4.01043480414571, 3.4908634002297765, 2.5650465503226134, 3.715751499502407, 2.9286965160359637, 1.632209376428898, 0.7636983882030178, 0.0), # 83
(10.181322061191626, 8.362569295101553, 8.14811149691358, 8.768290081521739, 7.423111837327523, 3.584544924554184, 3.477088909637929, 2.851841563786008, 3.8285365226337444, 1.6620367465504726, 1.3038055555555557, 0.7454835390946503, 0.0, 10.007711226851852, 8.200318930041153, 6.519027777777778, 4.986110239651417, 7.657073045267489, 3.9925781893004113, 3.477088909637929, 2.5603892318244172, 3.7115559186637617, 2.922763360507247, 1.629622299382716, 0.7602335722819594, 0.0), # 84
(10.159472475696308, 8.32414528850834, 8.13497549439872, 8.75009749899356, 7.414333360230238, 3.577762218665854, 3.463213440383012, 2.8391965782655086, 3.8219816910531925, 1.6565574652357518, 1.2994910114793157, 0.7436762488067449, 0.0, 9.994376393175584, 8.180438736874192, 6.497455057396579, 4.969672395707254, 7.643963382106385, 3.9748752095717124, 3.463213440383012, 2.5555444419041815, 3.707166680115119, 2.916699166331187, 1.626995098879744, 0.7567404807734855, 0.0), # 85
(10.136749746525913, 8.285429233594407, 8.121642303955191, 8.731527501006443, 7.405183705855455, 3.57073412335518, 3.44924229499756, 2.826665904587715, 3.815327636793172, 1.6510620457785314, 1.2950766387067558, 0.7418439302416996, 0.0, 9.98048857596022, 8.160283232658694, 6.475383193533778, 4.953186137335593, 7.630655273586344, 3.9573322664228017, 3.44924229499756, 2.550524373825129, 3.7025918529277275, 2.910509167002148, 1.6243284607910382, 0.7532208394176735, 0.0), # 86
(10.113199677938807, 8.246440113500597, 8.10811535493827, 8.712595788043478, 7.3956790123456795, 3.563477709190672, 3.4351807760141093, 2.8142541152263374, 3.8085807613168727, 1.645550617283951, 1.290569643806486, 0.7399875460255577, 0.0, 9.96607349537037, 8.139863006281134, 6.452848219032429, 4.936651851851852, 7.6171615226337455, 3.9399557613168725, 3.4351807760141093, 2.54534122085048, 3.6978395061728397, 2.904198596014493, 1.6216230709876542, 0.7496763739545999, 0.0), # 87
(10.088868074193357, 8.207196911367758, 8.094398076703246, 8.693318060587762, 7.385835417843406, 3.5560100467408424, 3.4210341859651954, 2.801965782655083, 3.8017474660874866, 1.6400233088571508, 1.2859772333471164, 0.7381080587843638, 0.0, 9.951156871570646, 8.119188646628, 6.429886166735582, 4.9200699265714505, 7.603494932174973, 3.9227520957171165, 3.4210341859651954, 2.540007176243459, 3.692917708921703, 2.897772686862588, 1.6188796153406495, 0.7461088101243417, 0.0), # 88
(10.063800739547922, 8.16771861033674, 8.080493898605397, 8.673710019122383, 7.375669060491138, 3.5483482065742016, 3.406807827383354, 2.7898054793476605, 3.794834152568206, 1.634480249603271, 1.2813066138972575, 0.7362064311441613, 0.0, 9.935764424725651, 8.098270742585774, 6.4065330694862865, 4.903440748809812, 7.589668305136412, 3.905727671086725, 3.406807827383354, 2.534534433267287, 3.687834530245569, 2.891236673040795, 1.6160987797210793, 0.7425198736669765, 0.0), # 89
(10.03804347826087, 8.128024193548386, 8.06640625, 8.653787364130435, 7.365196078431373, 3.5405092592592595, 3.3925070028011204, 2.7777777777777777, 3.7878472222222226, 1.6289215686274514, 1.2765649920255184, 0.7342836257309943, 0.0, 9.919921875, 8.077119883040936, 6.382824960127592, 4.886764705882353, 7.575694444444445, 3.888888888888889, 3.3925070028011204, 2.5289351851851856, 3.6825980392156863, 2.884595788043479, 1.6132812500000002, 0.7389112903225807, 0.0), # 90
(10.011642094590563, 8.088132644143545, 8.05213856024234, 8.63356579609501, 7.35443260980661, 3.532510275364528, 3.378137014751031, 2.7658872504191434, 3.780793076512727, 1.6233473950348318, 1.2717595743005101, 0.7323406051709063, 0.0, 9.903654942558298, 8.055746656879968, 6.35879787150255, 4.870042185104494, 7.561586153025454, 3.872242150586801, 3.378137014751031, 2.5232216252603767, 3.677216304903305, 2.8778552653650036, 1.6104277120484682, 0.7352847858312315, 0.0), # 91
(9.984642392795372, 8.048062945263066, 8.0376942586877, 8.613061015499195, 7.343394792759352, 3.524368325458518, 3.363703165765621, 2.754138469745466, 3.773678116902911, 1.6177578579305527, 1.2668975672908422, 0.7303783320899415, 0.0, 9.886989347565157, 8.034161652989356, 6.334487836454211, 4.853273573791657, 7.547356233805822, 3.8557938576436523, 3.363703165765621, 2.517405946756084, 3.671697396379676, 2.871020338499732, 1.6075388517375402, 0.7316420859330061, 0.0), # 92
(9.957090177133654, 8.00783408004779, 8.023076774691358, 8.592288722826089, 7.332098765432098, 3.5161004801097393, 3.349210758377425, 2.742536008230453, 3.766508744855967, 1.6121530864197533, 1.261986177565125, 0.7283977691141434, 0.0, 9.869950810185184, 8.012375460255576, 6.309930887825625, 4.836459259259259, 7.533017489711934, 3.839550411522634, 3.349210758377425, 2.5115003429355283, 3.666049382716049, 2.86409624094203, 1.6046153549382718, 0.727984916367981, 0.0), # 93
(9.92903125186378, 7.967465031638567, 8.008289537608597, 8.571264618558777, 7.320560665967347, 3.5077238098867043, 3.3346650951189805, 2.7310844383478132, 3.759291361835086, 1.6065332096075746, 1.2570326116919686, 0.7263998788695563, 0.0, 9.85256505058299, 7.990398667565118, 6.285163058459842, 4.819599628822722, 7.518582723670172, 3.823518213686939, 3.3346650951189805, 2.5055170070619317, 3.6602803329836733, 2.8570882061862592, 1.6016579075217197, 0.7243150028762335, 0.0), # 94
(9.90051142124411, 7.926974783176247, 7.993335976794697, 8.550004403180354, 7.308796632507598, 3.499255385357923, 3.320071478522822, 2.719788332571255, 3.7520323693034596, 1.6008983565991557, 1.2520440762399827, 0.7243856239822234, 0.0, 9.834857788923182, 7.968241863804456, 6.260220381199914, 4.8026950697974655, 7.504064738606919, 3.8077036655997567, 3.320071478522822, 2.4994681323985164, 3.654398316253799, 2.850001467726785, 1.5986671953589393, 0.7206340711978407, 0.0), # 95
(9.871576489533012, 7.886382317801674, 7.978219521604939, 8.528523777173913, 7.296822803195352, 3.4907122770919066, 3.3054352111214853, 2.708652263374486, 3.7447381687242793, 1.5952486564996373, 1.247027777777778, 0.7223559670781895, 0.0, 9.816854745370371, 7.945915637860083, 6.23513888888889, 4.785745969498911, 7.489476337448559, 3.7921131687242804, 3.3054352111214853, 2.4933659122085046, 3.648411401597676, 2.8428412590579715, 1.595643904320988, 0.7169438470728796, 0.0), # 96
(9.842272260988848, 7.845706618655694, 7.962943601394604, 8.506838441022543, 7.284655316173109, 3.482111555657166, 3.2907615954475067, 2.697680803231215, 3.7374151615607376, 1.589584238414159, 1.2419909228739638, 0.7203118707834976, 0.0, 9.798581640089164, 7.923430578618472, 6.209954614369819, 4.768752715242476, 7.474830323121475, 3.7767531245237014, 3.2907615954475067, 2.4872225397551184, 3.6423276580865545, 2.8356128136741816, 1.5925887202789208, 0.7132460562414268, 0.0), # 97
(9.812644539869984, 7.804966668879153, 7.947511645518976, 8.48496409520934, 7.272310309583368, 3.4734702916222124, 3.276055934033421, 2.68687852461515, 3.7300697492760246, 1.5839052314478608, 1.236940718097151, 0.7182542977241916, 0.0, 9.78006419324417, 7.900797274966106, 6.184703590485755, 4.751715694343581, 7.460139498552049, 3.7616299344612103, 3.276055934033421, 2.48105020830158, 3.636155154791684, 2.8283213650697805, 1.589502329103795, 0.7095424244435595, 0.0), # 98
(9.782739130434782, 7.764181451612902, 7.931927083333334, 8.462916440217391, 7.259803921568627, 3.464805555555556, 3.261323529411765, 2.67625, 3.7227083333333333, 1.5782117647058826, 1.2318843700159492, 0.7161842105263159, 0.0, 9.761328125, 7.878026315789473, 6.159421850079745, 4.734635294117647, 7.445416666666667, 3.7467500000000005, 3.261323529411765, 2.474861111111111, 3.6299019607843137, 2.820972146739131, 1.5863854166666669, 0.7058346774193549, 0.0), # 99
(9.752601836941611, 7.723369949997786, 7.916193344192958, 8.44071117652979, 7.247152290271389, 3.4561344180257074, 3.2465696841150726, 2.665799801859473, 3.715337315195854, 1.572503967293365, 1.2268290851989685, 0.714102571815914, 0.0, 9.742399155521262, 7.8551282899750525, 6.134145425994841, 4.717511901880093, 7.430674630391708, 3.732119722603262, 3.2465696841150726, 2.468667441446934, 3.6235761451356945, 2.8135703921765973, 1.5832386688385918, 0.7021245409088898, 0.0), # 100
(9.722278463648834, 7.682551147174654, 7.900313857453133, 8.41836400462963, 7.234371553834153, 3.4474739496011786, 3.231799700675881, 2.6555325026672763, 3.7079630963267793, 1.5667819683154474, 1.2217820702148188, 0.7120103442190294, 0.0, 9.723303004972564, 7.832113786409323, 6.108910351074094, 4.7003459049463405, 7.415926192653559, 3.7177455037341867, 3.231799700675881, 2.4624813925722706, 3.6171857769170765, 2.806121334876544, 1.5800627714906266, 0.6984137406522414, 0.0), # 101
(9.691814814814816, 7.641744026284349, 7.884292052469135, 8.395890625, 7.221477850399419, 3.4388412208504806, 3.217018881626725, 2.645452674897119, 3.7005920781893, 1.56104589687727, 1.2167505316321108, 0.7099084903617069, 0.0, 9.704065393518519, 7.808993393978774, 6.083752658160553, 4.683137690631809, 7.4011841563786, 3.703633744855967, 3.217018881626725, 2.4563151577503435, 3.6107389251997093, 2.798630208333334, 1.5768584104938272, 0.6947040023894864, 0.0), # 102
(9.661256694697919, 7.60096757046772, 7.8681313585962505, 8.373306738123993, 7.208487318109686, 3.430253302342123, 3.20223252950014, 2.63556489102271, 3.6932306622466085, 1.5552958820839726, 1.211741676019454, 0.7077979728699895, 0.0, 9.68471204132373, 7.785777701569883, 6.058708380097269, 4.6658876462519165, 7.386461324493217, 3.689790847431794, 3.20223252950014, 2.4501809302443736, 3.604243659054843, 2.7911022460413317, 1.5736262717192502, 0.6909970518607019, 0.0), # 103
(9.63064990755651, 7.560240762865614, 7.851835205189758, 8.350628044484703, 7.195416095107452, 3.421727264644617, 3.187445946828663, 2.6258737235177567, 3.685885249961896, 1.5495320530406955, 1.2067627099454585, 0.7056797543699213, 0.0, 9.665268668552812, 7.762477298069133, 6.033813549727292, 4.648596159122086, 7.371770499923792, 3.6762232129248593, 3.187445946828663, 2.4440909033175835, 3.597708047553726, 2.783542681494901, 1.5703670410379515, 0.687294614805965, 0.0), # 104
(9.600040257648953, 7.519582586618876, 7.835407021604938, 8.327870244565217, 7.182280319535221, 3.4132801783264752, 3.172664436144829, 2.6163837448559675, 3.6785622427983538, 1.5437545388525786, 1.201820839978735, 0.7035547974875461, 0.0, 9.64576099537037, 7.739102772363006, 6.009104199893674, 4.631263616557734, 7.3571244855967075, 3.662937242798354, 3.172664436144829, 2.4380572702331964, 3.5911401597676105, 2.775956748188406, 1.5670814043209877, 0.6835984169653525, 0.0), # 105
(9.569473549233614, 7.479012024868357, 7.818850237197074, 8.305049038848631, 7.1690961295354905, 3.404929113956206, 3.1578932999811724, 2.6070995275110502, 3.6712680422191735, 1.5379634686247616, 1.1969232726878927, 0.701424064848908, 0.0, 9.626214741941014, 7.715664713337986, 5.9846163634394625, 4.613890405874283, 7.342536084438347, 3.6499393385154706, 3.1578932999811724, 2.4320922242544327, 3.5845480647677452, 2.768349679616211, 1.5637700474394147, 0.6799101840789417, 0.0), # 106
(9.538995586568856, 7.438548060754901, 7.802168281321446, 8.282180127818036, 7.155879663250759, 3.3966911421023225, 3.1431378408702306, 2.5980256439567144, 3.6640090496875475, 1.532158971462385, 1.1920772146415421, 0.6992885190800504, 0.0, 9.606655628429355, 7.692173709880553, 5.96038607320771, 4.596476914387154, 7.328018099375095, 3.6372359015394005, 3.1431378408702306, 2.426207958644516, 3.5779398316253794, 2.760726709272679, 1.5604336562642893, 0.6762316418868093, 0.0), # 107
(9.508652173913044, 7.398209677419356, 7.785364583333334, 8.259279211956523, 7.1426470588235285, 3.3885833333333335, 3.1284033613445374, 2.589166666666667, 3.656791666666667, 1.5263411764705888, 1.1872898724082936, 0.6971491228070177, 0.0, 9.587109375, 7.668640350877193, 5.936449362041468, 4.579023529411765, 7.313583333333334, 3.624833333333334, 3.1284033613445374, 2.4204166666666667, 3.5713235294117642, 2.7530930706521746, 1.557072916666667, 0.6725645161290325, 0.0), # 108
(9.478489115524543, 7.358015858002567, 7.768442572588021, 8.23636199174718, 7.129414454396299, 3.3806227582177515, 3.113695163936631, 2.580527168114617, 3.6496222946197223, 1.5205102127545123, 1.1825684525567568, 0.6950068386558532, 0.0, 9.567601701817559, 7.645075225214384, 5.9128422627837836, 4.561530638263536, 7.299244589239445, 3.612738035360464, 3.113695163936631, 2.4147305415841083, 3.5647072271981495, 2.7454539972490606, 1.5536885145176043, 0.668910532545688, 0.0), # 109
(9.448552215661715, 7.317985585645383, 7.751405678440788, 8.213444167673108, 7.116197988111569, 3.3728264873240867, 3.0990185511790447, 2.5721117207742723, 3.6425073350099066, 1.5146662094192962, 1.177920161655542, 0.6928626292526012, 0.0, 9.54815832904664, 7.621488921778612, 5.8896008082777085, 4.543998628257887, 7.285014670019813, 3.600956409083981, 3.0990185511790447, 2.409161776660062, 3.5580989940557846, 2.737814722557703, 1.5502811356881578, 0.6652714168768531, 0.0), # 110
(9.41888727858293, 7.278137843488651, 7.7342573302469155, 8.190541440217391, 7.103013798111837, 3.365211591220851, 3.0843788256043156, 2.5639248971193416, 3.635453189300412, 1.5088092955700803, 1.173352206273259, 0.6907174572233054, 0.0, 9.528804976851852, 7.597892029456357, 5.866761031366295, 4.526427886710239, 7.270906378600824, 3.5894948559670783, 3.0843788256043156, 2.4037225651577505, 3.5515068990559184, 2.7301804800724643, 1.546851466049383, 0.6616488948626047, 0.0), # 111
(9.38954010854655, 7.238491614673214, 7.717000957361684, 8.167669509863124, 7.089878022539605, 3.357795140476554, 3.069781289744979, 2.5559712696235333, 3.628466258954427, 1.5029396003120044, 1.1688717929785184, 0.6885722851940093, 0.0, 9.509567365397805, 7.574295137134101, 5.844358964892591, 4.5088188009360115, 7.256932517908854, 3.5783597774729463, 3.069781289744979, 2.3984251003403956, 3.5449390112698027, 2.7225565032877084, 1.543400191472337, 0.6580446922430195, 0.0), # 112
(9.360504223703044, 7.1991320672204555, 7.699681523543391, 8.14487541186903, 7.076783786782469, 3.3505906987084666, 3.0552629818283847, 2.548271903658586, 3.6215709370862066, 1.4970761841531826, 1.1644873176921446, 0.6864327447087024, 0.0, 9.490443900843221, 7.550760191795725, 5.8224365884607225, 4.491228552459547, 7.243141874172413, 3.5675806651220205, 3.0552629818283847, 2.3932790705060474, 3.5383918933912346, 2.7149584706230105, 1.5399363047086783, 0.654466551565496, 0.0), # 113
(9.331480897900065, 7.16044741823174, 7.682538062518016, 8.122342065958001, 7.063595569710884, 3.343581854975776, 3.0410091042052896, 2.5409213581271333, 3.6148730119043533, 1.491328791978196, 1.1602073895188663, 0.684326014342748, 0.0, 9.471275414160035, 7.5275861577702265, 5.801036947594331, 4.473986375934587, 7.229746023808707, 3.557289901377987, 3.0410091042052896, 2.3882727535541255, 3.531797784855442, 2.7074473553193346, 1.5365076125036032, 0.6509497652937947, 0.0), # 114
(9.302384903003995, 7.122451598792792, 7.665580777256098, 8.100063378886334, 7.050271785259067, 3.3367503822909463, 3.027029825095781, 2.533917772616129, 3.6083749928895963, 1.4857063319970194, 1.1560257519045158, 0.6822531318799043, 0.0, 9.452006631660376, 7.5047844506789465, 5.7801287595225785, 4.457118995991058, 7.216749985779193, 3.5474848816625806, 3.027029825095781, 2.3833931302078186, 3.5251358926295335, 2.700021126295445, 1.5331161554512198, 0.647495599890254, 0.0), # 115
(9.273179873237634, 7.0850892578507265, 7.648776824986561, 8.077999612699802, 7.036792350922519, 3.330080178417474, 3.0133024087639466, 2.5272417970412473, 3.6020604464092765, 1.480198339612387, 1.1519343218785802, 0.6802102664572789, 0.0, 9.43260725975589, 7.482312931030067, 5.7596716093929015, 4.44059501883716, 7.204120892818553, 3.5381385158577463, 3.0133024087639466, 2.3786286988696244, 3.5183961754612594, 2.6926665375666015, 1.5297553649973124, 0.6440990234409752, 0.0), # 116
(9.243829442823772, 7.04830504435266, 7.632093362938321, 8.056111029444182, 7.02313718419674, 3.323555141118853, 2.9998041194738763, 2.5208740813181603, 3.5959129388307343, 1.4747943502270324, 1.1479250164705472, 0.6781935872119792, 0.0, 9.413047004858225, 7.46012945933177, 5.739625082352736, 4.424383050681096, 7.1918258776614685, 3.5292237138454245, 2.9998041194738763, 2.3739679579420376, 3.51156859209837, 2.6853703431480613, 1.5264186725876645, 0.6407550040320601, 0.0), # 117
(9.214297245985211, 7.0120436072457135, 7.615497548340306, 8.03435789116525, 7.009286202577227, 3.317159168158581, 2.9865122214896576, 2.51479527536254, 3.5899160365213114, 1.46948389924369, 1.143989752709904, 0.6761992632811126, 0.0, 9.393295573379024, 7.438191896092237, 5.71994876354952, 4.40845169773107, 7.179832073042623, 3.5207133855075567, 2.9865122214896576, 2.369399405827558, 3.5046431012886137, 2.678119297055084, 1.5230995096680613, 0.6374585097496104, 0.0), # 118
(9.184546916944742, 6.976249595477001, 7.598956538421437, 8.012700459908778, 6.99521932355948, 3.3108761573001524, 2.973403979075378, 2.5089860290900607, 3.5840533058483475, 1.4642565220650932, 1.1401204476261382, 0.6742234638017862, 0.0, 9.373322671729932, 7.416458101819647, 5.70060223813069, 4.392769566195279, 7.168106611696695, 3.5125804407260848, 2.973403979075378, 2.3649115409286803, 3.49760966177974, 2.670900153302927, 1.5197913076842873, 0.6342045086797276, 0.0), # 119
(9.154542089925162, 6.940867657993644, 7.582437490410635, 7.991098997720545, 6.980916464638998, 3.304690006307063, 2.9604566564951265, 2.5034269924163928, 3.578308313179186, 1.4591017540939766, 1.136309018248736, 0.6722623579111081, 0.0, 9.353098006322597, 7.394885937022188, 5.68154509124368, 4.377305262281929, 7.156616626358372, 3.50479778938295, 2.9604566564951265, 2.360492861647902, 3.490458232319499, 2.663699665906849, 1.516487498082127, 0.6309879689085133, 0.0), # 120
(9.124246399149268, 6.90584244374276, 7.565907561536823, 7.969513766646325, 6.966357543311279, 3.29858461294281, 2.94764751801299, 2.4980988152572112, 3.572664624881166, 1.4540091307330743, 1.1325473816071863, 0.6703121147461852, 0.0, 9.33259128356866, 7.373433262208036, 5.662736908035931, 4.362027392199222, 7.145329249762332, 3.497338341360096, 2.94764751801299, 2.356131866387721, 3.4831787716556395, 2.656504588882109, 1.5131815123073646, 0.6278038585220692, 0.0), # 121
(9.093623478839854, 6.871118601671464, 7.549333909028926, 7.947905028731892, 6.951522477071823, 3.292543874970886, 2.9349538278930587, 2.492982147528187, 3.5671058073216297, 1.4489681873851195, 1.1288274547309753, 0.6683689034441251, 0.0, 9.31177220987977, 7.352057937885375, 5.644137273654876, 4.346904562155357, 7.1342116146432595, 3.490175006539462, 2.9349538278930587, 2.351817053550633, 3.4757612385359113, 2.6493016762439643, 1.5098667818057854, 0.6246471456064968, 0.0), # 122
(9.062636963219719, 6.836640780726876, 7.532683690115864, 7.92623304602302, 6.936391183416127, 3.28655169015479, 2.9223528503994194, 2.4880576391449933, 3.5616154268679177, 1.443968459452847, 1.1251411546495909, 0.6664288931420351, 0.0, 9.290610491667572, 7.330717824562385, 5.625705773247954, 4.33190537835854, 7.123230853735835, 3.4832806948029904, 2.9223528503994194, 2.3475369215391355, 3.4681955917080636, 2.642077682007674, 1.5065367380231727, 0.621512798247898, 0.0), # 123
(9.031250486511654, 6.802353629856113, 7.515924062026559, 7.90445808056549, 6.920943579839691, 3.2805919562580144, 2.9098218497961597, 2.483305940023303, 3.5561770498873715, 1.4389994823389904, 1.1214803983925201, 0.664488252977023, 0.0, 9.269075835343711, 7.309370782747252, 5.6074019919625995, 4.316998447016971, 7.112354099774743, 3.476628316032624, 2.9098218497961597, 2.3432799687557244, 3.4604717899198456, 2.634819360188497, 1.5031848124053118, 0.618395784532374, 0.0), # 124
(8.999427682938459, 6.768201798006293, 7.499022181989936, 7.88254039440507, 6.905159583838015, 3.274648571044058, 2.8973380903473696, 2.478707700078788, 3.5507742427473308, 1.4340507914462837, 1.1178371029892504, 0.6625431520861957, 0.0, 9.247137947319828, 7.2879746729481525, 5.5891855149462515, 4.30215237433885, 7.1015484854946616, 3.470190780110303, 2.8973380903473696, 2.3390346936028985, 3.4525797919190073, 2.6275134648016905, 1.4998044363979874, 0.6152910725460268, 0.0), # 125
(8.967132186722928, 6.734129934124536, 7.481945207234916, 7.8604402495875405, 6.889019112906595, 3.2687054322764144, 2.884878836317135, 2.474243569227122, 3.545390571815139, 1.4291119221774609, 1.1142031854692689, 0.6605897596066612, 0.0, 9.224766534007578, 7.266487355673273, 5.571015927346345, 4.287335766532382, 7.090781143630278, 3.463940996917971, 2.884878836317135, 2.334789594483153, 3.4445095564532977, 2.620146749862514, 1.4963890414469831, 0.6121936303749579, 0.0), # 126
(8.93432763208786, 6.7000826871579555, 7.464660294990421, 7.838117908158674, 6.8725020845409315, 3.26274643771858, 2.872421351969547, 2.469894197383977, 3.5400096034581354, 1.4241724099352562, 1.1105705628620632, 0.6586242446755264, 0.0, 9.201931301818599, 7.244866691430789, 5.552852814310316, 4.272517229805768, 7.080019206916271, 3.457851876337568, 2.872421351969547, 2.3305331697989855, 3.4362510422704657, 2.612705969386225, 1.4929320589980841, 0.6090984261052688, 0.0), # 127
(8.900977653256046, 6.666004706053673, 7.447134602485375, 7.815533632164248, 6.855588416236526, 3.2567554851340508, 2.859942901568691, 2.465640234465026, 3.534614904043661, 1.4192217901224033, 1.1069311521971208, 0.6566427764298991, 0.0, 9.178601957164537, 7.223070540728888, 5.534655760985604, 4.257665370367209, 7.069229808087322, 3.4518963282510366, 2.859942901568691, 2.3262539179528936, 3.427794208118263, 2.6051778773880834, 1.4894269204970751, 0.6060004278230613, 0.0), # 128
(8.867045884450281, 6.631840639758805, 7.4293352869486995, 7.792647683650037, 6.838258025488874, 3.250716472286322, 2.8474207493786565, 2.4614623303859418, 3.529190039939058, 1.4142495981416365, 1.1032768705039286, 0.6546415240068865, 0.0, 9.154748206457038, 7.20105676407575, 5.516384352519642, 4.242748794424909, 7.058380079878116, 3.4460472625403185, 2.8474207493786565, 2.321940337347373, 3.419129012744437, 2.597549227883346, 1.4858670573897401, 0.6028946036144368, 0.0), # 129
(8.832495959893366, 6.5975351372204685, 7.411229505609316, 7.769420324661814, 6.820490829793475, 3.2446132969388883, 2.8348321596635313, 2.457341135062396, 3.5237185775116666, 1.4092453693956895, 1.0995996348119743, 0.6526166565435961, 0.0, 9.130339756107748, 7.178783221979556, 5.4979981740598705, 4.2277361081870675, 7.047437155023333, 3.4402775890873545, 2.8348321596635313, 2.3175809263849203, 3.4102454148967376, 2.589806774887272, 1.4822459011218634, 0.5997759215654973, 0.0), # 130
(8.797291513808094, 6.563032847385783, 7.392784415696151, 7.7458118172453565, 6.802266746645829, 3.238429856855247, 2.8221543966874045, 2.4532572984100627, 3.5181840831288285, 1.4041986392872965, 1.0958913621507447, 0.6505643431771354, 0.0, 9.105346312528312, 7.156207774948489, 5.479456810753724, 4.212595917861889, 7.036368166257657, 3.4345602177740875, 2.8221543966874045, 2.3131641834680337, 3.4011333733229145, 2.5819372724151193, 1.4785568831392302, 0.596639349762344, 0.0), # 131
(8.76139618041726, 6.528278419201865, 7.373967174438122, 7.72178242344644, 6.783565693541435, 3.2321500497988933, 2.8093647247143627, 2.449191470344614, 3.5125701231578845, 1.3990989432191914, 1.0921439695497275, 0.6484807530446118, 0.0, 9.079737582130376, 7.13328828349073, 5.460719847748638, 4.1972968296575734, 7.025140246315769, 3.4288680584824593, 2.8093647247143627, 2.3086786069992096, 3.3917828467707176, 2.573927474482147, 1.4747934348876244, 0.5934798562910787, 0.0), # 132
(8.724773593943663, 6.493216501615832, 7.354744939064153, 7.697292405310838, 6.764367587975791, 3.225757773533322, 2.7964404080084946, 2.445124300781722, 3.5068602639661752, 1.3939358165941083, 1.0883493740384103, 0.6463620552831327, 0.0, 9.053483271325586, 7.10998260811446, 5.44174687019205, 4.181807449782324, 7.0137205279323505, 3.4231740210944106, 2.7964404080084946, 2.3041126953809443, 3.3821837939878954, 2.5657641351036133, 1.4709489878128308, 0.590292409237803, 0.0), # 133
(8.687387388610095, 6.457791743574804, 7.33508486680317, 7.672302024884328, 6.7446523474443945, 3.2192369258220297, 2.7833587108338893, 2.44103643963706, 3.5010380719210428, 1.388698794814781, 1.0844994926462799, 0.6442044190298056, 0.0, 9.026553086525583, 7.0862486093278605, 5.422497463231399, 4.166096384444343, 7.0020761438420855, 3.417451015491884, 2.7833587108338893, 2.2994549470157355, 3.3723261737221972, 2.557434008294776, 1.4670169733606342, 0.5870719766886187, 0.0), # 134
(8.649201198639354, 6.421948794025897, 7.314954114884091, 7.646771544212684, 6.724399889442747, 3.212571404428512, 2.770096897454634, 2.4369085368263, 3.4950871133898262, 1.3833774132839443, 1.0805862424028239, 0.6420040134217377, 0.0, 8.99891673414202, 7.0620441476391145, 5.402931212014119, 4.150132239851832, 6.9901742267796525, 3.41167195155682, 2.770096897454634, 2.2946938603060802, 3.3621999447213735, 2.548923848070895, 1.4629908229768183, 0.583813526729627, 0.0), # 135
(8.610178658254235, 6.385632301916229, 7.294319840535841, 7.62066122534168, 6.703590131466344, 3.205745107116265, 2.7566322321348173, 2.4327212422651154, 3.4889909547398688, 1.3779612074043308, 1.0766015403375297, 0.6397570075960368, 0.0, 8.970543920586536, 7.037327083556404, 5.383007701687648, 4.133883622212991, 6.9779819094797375, 3.4058097391711617, 2.7566322321348173, 2.289817933654475, 3.351795065733172, 2.540220408447227, 1.4588639681071682, 0.58051202744693, 0.0), # 136
(8.570283401677534, 6.348786916192918, 7.273149200987342, 7.593931330317094, 6.682202991010689, 3.1987419316487826, 2.7429419791385277, 2.428455205869179, 3.4827331623385107, 1.3724397125786756, 1.0725373034798844, 0.63745957068981, 0.0, 8.941404352270776, 7.012055277587909, 5.362686517399421, 4.117319137736026, 6.965466324677021, 3.3998372882168506, 2.7429419791385277, 2.284815665463416, 3.3411014955053444, 2.5313104434390317, 1.4546298401974684, 0.577162446926629, 0.0), # 137
(8.529479063132047, 6.311357285803083, 7.251409353467515, 7.566542121184698, 6.660218385571278, 3.1915457757895624, 2.729003402729852, 2.4240910775541624, 3.4762973025530934, 1.3668024642097119, 1.0683854488593754, 0.6351078718401649, 0.0, 8.91146773560639, 6.986186590241813, 5.341927244296877, 4.100407392629135, 6.952594605106187, 3.3937275085758274, 2.729003402729852, 2.2796755541354017, 3.330109192785639, 2.5221807070615663, 1.450281870693503, 0.5737597532548258, 0.0), # 138
(8.487729276840568, 6.273288059693839, 7.229067455205284, 7.538453859990269, 6.63761623264361, 3.184140537302099, 2.7147937671728797, 2.4196095072357395, 3.469666941750957, 1.3610389977001744, 1.0641378935054902, 0.6326980801842089, 0.0, 8.880703777005019, 6.959678882026297, 5.32068946752745, 4.083116993100523, 6.939333883501914, 3.3874533101300353, 2.7147937671728797, 2.274386098072928, 3.318808116321805, 2.51281795333009, 1.4458134910410567, 0.5702989145176218, 0.0), # 139
(8.444997677025897, 6.234523886812306, 7.206090663429573, 7.509626808779583, 6.614376449723186, 3.176510113949888, 2.7002903367316984, 2.4149911448295818, 3.462825646299444, 1.3551388484527966, 1.0597865544477159, 0.6302263648590494, 0.0, 8.849082182878314, 6.932490013449542, 5.298932772238579, 4.0654165453583895, 6.925651292598888, 3.3809876027614147, 2.7002903367316984, 2.2689357956784915, 3.307188224861593, 2.5032089362598615, 1.4412181326859146, 0.5667748988011189, 0.0), # 140
(8.40124789791083, 6.195009416105602, 7.1824461353693, 7.480021229598415, 6.590478954305501, 3.1686384034964257, 2.6854703756703975, 2.4102166402513627, 3.455756982565893, 1.349091551870313, 1.0553233487155398, 0.6276888950017938, 0.0, 8.816572659637913, 6.904577845019731, 5.276616743577699, 4.047274655610939, 6.911513965131786, 3.3743032963519077, 2.6854703756703975, 2.26331314535459, 3.2952394771527507, 2.4933404098661387, 1.4364892270738603, 0.5631826741914184, 0.0), # 141
(8.356443573718156, 6.154689296520844, 7.158101028253392, 7.44959738449254, 6.565903663886058, 3.1605093037052074, 2.670311148253063, 2.4052666434167547, 3.448444516917647, 1.3428866433554572, 1.0507401933384497, 0.6250818397495496, 0.0, 8.783144913695466, 6.875900237245045, 5.253700966692247, 4.028659930066371, 6.896889033835294, 3.3673733007834565, 2.670311148253063, 2.2575066455037196, 3.282951831943029, 2.4831991281641805, 1.4316202056506786, 0.5595172087746222, 0.0), # 142
(8.310548338670674, 6.113508177005149, 7.133022499310772, 7.418315535507731, 6.540630495960352, 3.152106712339729, 2.6547899187437842, 2.4001218042414303, 3.4408718157220486, 1.3365136583109634, 1.0460290053459322, 0.6224013682394242, 0.0, 8.748768651462617, 6.846415050633665, 5.230145026729661, 4.009540974932889, 6.881743631444097, 3.360170525938002, 2.6547899187437842, 2.251504794528378, 3.270315247980176, 2.472771845169244, 1.4266044998621543, 0.5557734706368318, 0.0), # 143
(8.263525826991184, 6.071410706505636, 7.107177705770357, 7.386135944689768, 6.514639368023886, 3.1434145271634857, 2.6388839514066493, 2.3947627726410623, 3.4330224453464364, 1.3299621321395652, 1.0411817017674754, 0.619643649608525, 0.0, 8.713413579351014, 6.816080145693774, 5.205908508837376, 3.9898863964186946, 6.866044890692873, 3.3526678816974873, 2.6388839514066493, 2.245296090831061, 3.257319684011943, 2.4620453148965895, 1.4214355411540713, 0.5519464278641489, 0.0), # 144
(8.215339672902477, 6.0283415339694235, 7.080533804861075, 7.353018874084421, 6.487910197572155, 3.134416645939974, 2.6225705105057466, 2.3891701985313234, 3.424879972158151, 1.3232216002439972, 1.036190199632566, 0.6168048529939595, 0.0, 8.6770494037723, 6.784853382933553, 5.180950998162829, 3.969664800731991, 6.849759944316302, 3.344838277943853, 2.6225705105057466, 2.238869032814267, 3.2439550987860777, 2.451006291361474, 1.4161067609722149, 0.548031048542675, 0.0), # 145
(8.16595351062735, 5.984245308343629, 7.053057953811847, 7.318924585737469, 6.460422902100661, 3.1250969664326886, 2.605826860305165, 2.3833247318278863, 3.4164279625245353, 1.3162815980269928, 1.0310464159706916, 0.6138811475328351, 0.0, 8.639645831138118, 6.7526926228611845, 5.155232079853457, 3.948844794080978, 6.832855925049071, 3.3366546245590407, 2.605826860305165, 2.2322121188804918, 3.2302114510503306, 2.439641528579157, 1.4106115907623695, 0.5440223007585119, 0.0), # 146
(8.1153309743886, 5.93906667857537, 7.024717309851591, 7.283813341694685, 6.4321573991049, 3.1154393864051255, 2.5886302650689905, 2.3772070224464232, 3.40764998281293, 1.3091316608912866, 1.0257422678113395, 0.6108687023622593, 0.0, 8.601172567860118, 6.719555725984851, 5.1287113390566965, 3.9273949826738592, 6.81529996562586, 3.3280898314249923, 2.5886302650689905, 2.2253138474322327, 3.21607869955245, 2.4279377805648954, 1.4049434619703185, 0.5399151525977609, 0.0), # 147
(8.063435698409021, 5.892750293611764, 6.9954790302092364, 7.247645404001847, 6.403093606080374, 3.105427803620781, 2.5709579890613132, 2.3707977203026074, 3.398529599390676, 1.301761324239612, 1.0202696721839972, 0.6077636866193392, 0.0, 8.561599320349941, 6.68540055281273, 5.101348360919985, 3.905283972718835, 6.797059198781352, 3.3191168084236504, 2.5709579890613132, 2.2181627168719866, 3.201546803040187, 2.4158818013339496, 1.3990958060418472, 0.535704572146524, 0.0), # 148
(8.010231316911412, 5.845240802399927, 6.965310272113703, 7.210381034704727, 6.37321144052258, 3.0950461158431497, 2.5527872965462204, 2.3640774753121114, 3.3890503786251127, 1.2941601234747035, 1.0146205461181517, 0.6045622694411826, 0.0, 8.520895795019237, 6.650184963853008, 5.073102730590758, 3.88248037042411, 6.778100757250225, 3.3097084654369557, 2.5527872965462204, 2.21074722560225, 3.18660572026129, 2.403460344901576, 1.3930620544227408, 0.5313855274909026, 0.0), # 149
(7.955681464118564, 5.796482853886981, 6.934178192793912, 7.171980495849104, 6.342490819927017, 3.0842782208357287, 2.5340954517878003, 2.3570269373906068, 3.3791958868835836, 1.2863175939992944, 1.0087868066432906, 0.601260619964897, 0.0, 8.479031698279647, 6.6138668196138655, 5.043934033216452, 3.8589527819978824, 6.758391773767167, 3.2998377123468496, 2.5340954517878003, 2.2030558720255207, 3.1712454099635083, 2.390660165283035, 1.3868356385587826, 0.5269529867169983, 0.0), # 150
(7.899749774253275, 5.746421097020041, 6.902049949478785, 7.132404049480748, 6.310911661789184, 3.0731080163620113, 2.5148597190501416, 2.3496267564537683, 3.3689496905334293, 1.2782232712161197, 1.002760370788901, 0.5978549073275894, 0.0, 8.435976736542818, 6.576403980603482, 5.013801853944504, 3.8346698136483583, 6.737899381066859, 3.2894774590352753, 2.5148597190501416, 2.1950771545442938, 3.155455830894592, 2.377468016493583, 1.3804099898957571, 0.5224019179109128, 0.0), # 151
(7.842399881538343, 5.6950001807462245, 6.868892699397251, 7.091611957645439, 6.278453883604579, 3.0615194001854955, 2.4950573625973322, 2.3418575824172674, 3.3582953559419897, 1.2698666905279126, 0.9965331555844703, 0.5943413006663675, 0.0, 8.391700616220398, 6.537754307330042, 4.982665777922351, 3.809600071583737, 6.716590711883979, 3.2786006153841742, 2.4950573625973322, 2.1867995715610684, 3.1392269418022893, 2.36387065254848, 1.3737785398794504, 0.5177272891587478, 0.0), # 152
(7.78359542019656, 5.642164754012652, 6.834673599778224, 7.049564482388949, 6.245097402868703, 3.049496270069676, 2.4746656466934596, 2.333700065196776, 3.3472164494766075, 1.2612373873374074, 0.9900970780594861, 0.5907159691183387, 0.0, 8.346173043724027, 6.497875660301725, 4.95048539029743, 3.783712162012222, 6.694432898953215, 3.2671800912754865, 2.4746656466934596, 2.17821162147834, 3.1225487014343516, 2.3498548274629836, 1.3669347199556448, 0.5129240685466048, 0.0), # 153
(7.723300024450729, 5.587859465766439, 6.7993598078506325, 7.006221885757057, 6.210822137077053, 3.0370225237780484, 2.453661835602614, 2.325134854707968, 3.3356965375046217, 1.2523248970473384, 0.9834440552434354, 0.5869750818206104, 0.0, 8.299363725465357, 6.456725900026714, 4.917220276217177, 3.7569746911420143, 6.671393075009243, 3.2551887965911552, 2.453661835602614, 2.169301802698606, 3.1054110685385266, 2.335407295252353, 1.3598719615701265, 0.5079872241605854, 0.0), # 154
(7.6614773285236355, 5.532028964954703, 6.762918480843396, 6.961544429795533, 6.175608003725131, 3.0240820590741087, 2.4320231935888805, 2.316142600866515, 3.323719186393376, 1.2431187550604388, 0.9765660041658056, 0.5831148079102902, 0.0, 8.251242367856026, 6.414262887013191, 4.882830020829028, 3.7293562651813157, 6.647438372786752, 3.242599641213121, 2.4320231935888805, 2.160058613624363, 3.0878040018625654, 2.320514809931845, 1.3525836961686795, 0.5029117240867913, 0.0), # 155
(7.598090966638081, 5.474617900524564, 6.725316775985439, 6.915492376550157, 6.139434920308432, 3.0106587737213526, 2.40972698491635, 2.3067039535880913, 3.3112679625102084, 1.2336084967794434, 0.9694548418560842, 0.5791313165244852, 0.0, 8.201778677307685, 6.370444481769337, 4.84727420928042, 3.7008254903383295, 6.622535925020417, 3.2293855350233276, 2.40972698491635, 2.150470552658109, 3.069717460154216, 2.3051641255167192, 1.3450633551970879, 0.49769253641132405, 0.0), # 156
(7.533104573016862, 5.415570921423138, 6.686521850505682, 6.868025988066703, 6.102282804322456, 2.9967365654832747, 2.3867504738491094, 2.2967995627883675, 3.2983264322224626, 1.2237836576070855, 0.9621024853437583, 0.5750207768003032, 0.0, 8.150942360231976, 6.325228544803333, 4.810512426718791, 3.671350972821256, 6.596652864444925, 3.2155193879037145, 2.3867504738491094, 2.140526118202339, 3.051141402161228, 2.2893419960222348, 1.3373043701011365, 0.4923246292202853, 0.0), # 157
(7.464680946405239, 5.353748694041236, 6.644659961585297, 6.817327186238432, 6.062454070580665, 2.9814309445183143, 2.3625533604639286, 2.285748730145572, 3.2838873638663655, 1.213341479072786, 0.9542659587564906, 0.570633297016195, 0.0, 8.096485859415345, 6.276966267178143, 4.771329793782452, 3.640024437218358, 6.567774727732731, 3.200048222203801, 2.3625533604639286, 2.129593531798796, 3.0312270352903323, 2.2724423954128112, 1.3289319923170593, 0.48670442673102154, 0.0), # 158
(7.382286766978402, 5.282809876299521, 6.58894818200249, 6.7529828690913405, 6.010127539854418, 2.95965229467081, 2.334106381692858, 2.2696723053184926, 3.2621424204073812, 1.2005702485246865, 0.9445694892698324, 0.5651135436402591, 0.0, 8.025427646920194, 6.216248980042849, 4.722847446349162, 3.601710745574059, 6.5242848408147625, 3.17754122744589, 2.334106381692858, 2.114037353336293, 3.005063769927209, 2.250994289697114, 1.3177896364004982, 0.4802554432999565, 0.0), # 159
(7.284872094904309, 5.202172001162321, 6.51826746496324, 6.673933132806645, 5.94428008756453, 2.9308657560278157, 2.301121874191892, 2.248166328969728, 3.2324750757428835, 1.1853014129657236, 0.9328765847682567, 0.5583751624073207, 0.0, 7.93642060889358, 6.142126786480525, 4.664382923841283, 3.55590423889717, 6.464950151485767, 3.147432860557619, 2.301121874191892, 2.0934755400198686, 2.972140043782265, 2.2246443776022153, 1.3036534929926482, 0.47292472737839286, 0.0), # 160
(7.17322205458596, 5.11236079574043, 6.4333724765919245, 6.5809293778175455, 5.865595416188075, 2.895420057582683, 2.263840723003438, 2.2215002221290754, 3.1952765889996724, 1.1676645482927346, 0.9192902757666179, 0.5504806224089643, 0.0, 7.830374044819097, 6.055286846498606, 4.596451378833089, 3.5029936448782033, 6.390553177999345, 3.1101003109807053, 2.263840723003438, 2.0681571839876307, 2.9327977080940375, 2.1936431259391824, 1.2866744953183848, 0.46476007234003913, 0.0), # 161
(7.048121770426357, 5.013901987144635, 6.335017883012913, 6.474723004557244, 5.7747572282021356, 2.853663928328766, 2.2225038131699044, 2.1899434058263343, 3.150938219304545, 1.147789230402558, 0.9039135927797701, 0.5414923927367745, 0.0, 7.708197254180333, 5.956416320104519, 4.519567963898851, 3.4433676912076736, 6.30187643860909, 3.065920768156868, 2.2225038131699044, 2.03833137737769, 2.8873786141010678, 2.158241001519082, 1.2670035766025827, 0.4558092715586033, 0.0), # 162
(6.9103563668284975, 4.90732130248573, 6.223958350350585, 6.35606541345895, 5.672449226083792, 2.8059460972594175, 2.1773520297337003, 2.153765301091302, 3.0998512257843016, 1.1258050351920315, 0.8868495663225682, 0.5314729424823361, 0.0, 7.570799536460879, 5.846202367305696, 4.43424783161284, 3.3774151055760937, 6.199702451568603, 3.015271421527823, 2.1773520297337003, 2.0042472123281554, 2.836224613041896, 2.118688471152984, 1.2447916700701172, 0.4461201184077937, 0.0), # 163
(6.760710968195384, 4.793144468874502, 6.100948544729314, 6.225708004955863, 5.559355112310126, 2.752615293367992, 2.128626257737233, 2.113235328953779, 3.0424068675657407, 1.1018415385579923, 0.8682012269098661, 0.5204847407372336, 0.0, 7.419090191144328, 5.725332148109569, 4.34100613454933, 3.305524615673976, 6.0848137351314815, 2.9585294605352903, 2.128626257737233, 1.9661537809771372, 2.779677556155063, 2.075236001651955, 1.2201897089458629, 0.43574040626131844, 0.0), # 164
(6.599970698930017, 4.671897213421746, 5.966743132273474, 6.084402179481189, 5.436158589358215, 2.694020245647842, 2.076567382222911, 2.068622910443561, 2.9789964037756596, 1.0760283163972786, 0.8480716050565187, 0.5085902565930517, 0.0, 7.25397851771427, 5.594492822523568, 4.2403580252825925, 3.2280849491918353, 5.957992807551319, 2.8960720746209856, 2.076567382222911, 1.9243001754627442, 2.7180792946791077, 2.0281340598270634, 1.1933486264546949, 0.42471792849288603, 0.0), # 165
(6.428920683435397, 4.54410526323825, 5.82209677910744, 5.932899337468126, 5.3035433597051425, 2.630509683092322, 2.021416288233143, 2.020197466590449, 2.9100110935408576, 1.0484949446067282, 0.8265637312773799, 0.49585195914137514, 0.0, 7.0763738156542955, 5.454371550555126, 4.1328186563869, 3.145484833820184, 5.820022187081715, 2.8282764532266285, 2.021416288233143, 1.8789354879230868, 2.6517716798525712, 1.9776331124893758, 1.1644193558214881, 0.41310047847620457, 0.0), # 166
(6.248346046114523, 4.410294345434805, 5.667764151355587, 5.771950879349882, 5.1621931258279865, 2.562432334694784, 1.9634138608103373, 1.9682284184242402, 2.835842195988133, 1.0193709990831787, 0.8037806360873045, 0.48233231747378824, 0.0, 6.887185384447996, 5.30565549221167, 4.0189031804365225, 3.058112997249536, 5.671684391976266, 2.755519785793936, 1.9634138608103373, 1.8303088104962744, 2.5810965629139933, 1.9239836264499612, 1.1335528302711175, 0.4009358495849823, 0.0), # 167
(6.059031911370395, 4.270990187122201, 5.50449991514229, 5.60230820555966, 5.012791590203827, 2.490136929448583, 1.902800984996902, 1.9129851869747332, 2.7568809702442847, 0.9887860557234682, 0.7798253500011468, 0.468093800681876, 0.0, 6.6873225235789615, 5.149031807500635, 3.8991267500057343, 2.9663581671704042, 5.513761940488569, 2.6781792617646265, 1.902800984996902, 1.7786692353204163, 2.5063957951019136, 1.867436068519887, 1.100899983028458, 0.3882718351929274, 0.0), # 168
(5.861763403606015, 4.1267185154112305, 5.333058736591924, 5.4247227165306615, 4.856022455309747, 2.413972196347072, 1.8398185458352458, 1.8547371932717271, 2.6735186754361124, 0.9568696904244344, 0.7548009035337614, 0.45319887785722274, 0.0, 6.477694532530785, 4.985187656429449, 3.774004517668807, 2.8706090712733023, 5.347037350872225, 2.596632070580418, 1.8398185458352458, 1.724265854533623, 2.4280112276548733, 1.808240905510221, 1.066611747318385, 0.3751562286737483, 0.0), # 169
(5.657325647224384, 3.978005057412684, 5.154195281828863, 5.23994581269609, 4.692569423622822, 2.334286864383604, 1.7747074283677764, 1.7937538583450197, 2.5861465706904125, 0.9237514790829147, 0.7288103272000027, 0.4377100180914133, 0.0, 6.259210710787055, 4.814810199005545, 3.6440516360000137, 2.7712544372487433, 5.172293141380825, 2.5112554016830275, 1.7747074283677764, 1.6673477602740028, 2.346284711811411, 1.7466486042320304, 1.0308390563657726, 0.36163682340115316, 0.0), # 170
(5.4465037666285, 3.82537554023735, 4.968664216977482, 5.048728894489152, 4.523116197620137, 2.2514296625515327, 1.7077085176369027, 1.7303046032244096, 2.495155915133985, 0.8895609975957474, 0.7019566515147247, 0.4216896904760322, 0.0, 6.032780357831365, 4.638586595236354, 3.509783257573624, 2.6686829927872413, 4.99031183026797, 2.4224264445141737, 1.7077085176369027, 1.6081640446796661, 2.2615580988100685, 1.6829096314963843, 0.9937328433954964, 0.3477614127488501, 0.0), # 171
(5.230082886221365, 3.6693556909960217, 4.777220208162156, 4.851823362343048, 4.348346479778769, 2.1657493198442115, 1.6390626986850327, 1.664658848939696, 2.4009379678936282, 0.8544278218597702, 0.6743429069927823, 0.4052003641026643, 0.0, 5.799312773147303, 4.457204005129307, 3.3717145349639117, 2.56328346557931, 4.8018759357872565, 2.3305223885155746, 1.6390626986850327, 1.5469637998887225, 2.1741732398893845, 1.6172744541143496, 0.9554440416324312, 0.3335777900905475, 0.0), # 172
(5.00884813040598, 3.510471236799489, 4.58061792150726, 4.649980616690982, 4.168943972575801, 2.077594565254994, 1.5690108565545748, 1.5970860165206766, 2.303883988096141, 0.8184815277718206, 0.6460721241490297, 0.3883045080628938, 0.0, 5.5597172562184625, 4.271349588691831, 3.2303606207451483, 2.4554445833154612, 4.607767976192282, 2.235920423128947, 1.5690108565545748, 1.483996118039281, 2.0844719862879004, 1.5499935388969943, 0.916123584301452, 0.31913374879995354, 0.0), # 173
(4.783584623585344, 3.349247904758541, 4.3796120231371685, 4.443952057966156, 3.9855923784883105, 1.987314127777233, 1.4977938762879377, 1.5278555269971503, 2.204385234868321, 0.7818516912287369, 0.6172473334983214, 0.37106459144830567, 0.0, 5.314903106528433, 4.081710505931362, 3.0862366674916064, 2.34555507368621, 4.408770469736642, 2.1389977377960103, 1.4977938762879377, 1.4195100912694523, 1.9927961892441552, 1.4813173526553853, 0.8759224046274336, 0.3044770822507765, 0.0), # 174
(4.555077490162455, 3.18621142198397, 4.174957179176257, 4.2344890866017755, 3.7989753999933793, 1.8952567364042834, 1.425652642927529, 1.457236801398915, 2.102832967336968, 0.7446678881273562, 0.5879715655555117, 0.35354308335048457, 0.0, 5.0657796235608075, 3.8889739168553294, 2.939857827777558, 2.234003664382068, 4.205665934673936, 2.040131521958481, 1.425652642927529, 1.3537548117173452, 1.8994876999966896, 1.411496362200592, 0.8349914358352515, 0.28965558381672457, 0.0), # 175
(4.324111854540319, 3.0218875155865668, 3.9674080557488987, 4.0223431030310435, 3.609776739568087, 1.8017711201294973, 1.3528280415157574, 1.3854992607557703, 1.9996184446288805, 0.7070596943645169, 0.558347850835455, 0.33580245286101496, 0.0, 4.813256106799174, 3.693826981471164, 2.791739254177275, 2.1211790830935504, 3.999236889257761, 1.9396989650580787, 1.3528280415157574, 1.2869793715210696, 1.8048883697840434, 1.3407810343436815, 0.7934816111497798, 0.2747170468715061, 0.0), # 176
(4.0914728411219325, 2.856801912677122, 3.7577193189794698, 3.808265507687162, 3.4186800996895155, 1.7072060079462288, 1.2795609570950313, 1.3129123260975137, 1.8951329258708567, 0.6691566858370562, 0.528479219853006, 0.3179051690714816, 0.0, 4.5582418557271245, 3.496956859786297, 2.6423960992650297, 2.0074700575111684, 3.7902658517417134, 1.838077256536519, 1.2795609570950313, 1.2194328628187348, 1.7093400498447577, 1.269421835895721, 0.751543863795894, 0.25970926478882933, 0.0), # 177
(3.8579455743102966, 2.6914803403664256, 3.5466456349923448, 3.593007701003337, 3.226369182834742, 1.6119101288478317, 1.2060922747077587, 1.239745418453944, 1.7897676701896952, 0.6310884384418126, 0.49846870312301883, 0.299913701073469, 0.0, 4.301646169828252, 3.299050711808158, 2.4923435156150937, 1.8932653153254375, 3.5795353403793904, 1.7356435858355217, 1.2060922747077587, 1.1513643777484512, 1.613184591417371, 1.1976692336677792, 0.7093291269984691, 0.24468003094240237, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 132
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 133
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 134
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 135
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 136
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 137
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 138
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 139
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 140
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 141
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 142
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 143
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 144
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 145
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 146
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 147
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 148
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 149
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 150
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 151
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 152
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 153
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 154
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 155
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 156
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 157
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 158
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 159
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 160
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 161
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 162
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 163
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 164
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 165
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 166
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 167
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
4, # 1
)
| """
PASSENGERS
"""
num_passengers = 19157
passenger_arriving = ((14, 8, 6, 8, 8, 0, 0, 1, 4, 0, 0, 2, 0, 7, 3, 3, 4, 3, 2, 0, 1, 0, 2, 2, 0, 0), (5, 5, 6, 5, 3, 2, 5, 2, 3, 5, 1, 1, 0, 7, 6, 5, 3, 8, 5, 1, 2, 2, 1, 0, 0, 0), (5, 9, 4, 2, 7, 4, 2, 1, 2, 0, 0, 0, 0, 10, 3, 5, 1, 6, 3, 3, 2, 3, 1, 0, 0, 0), (9, 3, 5, 2, 7, 1, 6, 2, 2, 4, 0, 1, 0, 12, 6, 2, 8, 8, 10, 1, 2, 0, 2, 2, 0, 0), (8, 7, 7, 10, 5, 0, 2, 1, 3, 1, 0, 0, 0, 8, 5, 4, 1, 3, 2, 3, 0, 0, 1, 1, 0, 0), (5, 4, 5, 3, 4, 3, 3, 5, 2, 0, 3, 0, 0, 6, 5, 7, 3, 7, 1, 2, 3, 3, 1, 3, 2, 0), (7, 4, 9, 9, 3, 4, 6, 1, 2, 3, 1, 0, 0, 6, 6, 6, 7, 2, 2, 4, 1, 0, 3, 1, 1, 0), (7, 5, 9, 3, 7, 4, 1, 5, 1, 1, 2, 1, 0, 4, 3, 8, 2, 8, 1, 5, 2, 2, 1, 0, 0, 0), (14, 6, 4, 9, 9, 3, 2, 0, 1, 2, 0, 0, 0, 5, 6, 5, 5, 7, 3, 1, 5, 4, 1, 1, 0, 0), (9, 7, 4, 10, 6, 3, 3, 0, 1, 2, 0, 0, 0, 4, 5, 6, 2, 7, 5, 1, 0, 4, 1, 2, 1, 0), (8, 5, 4, 9, 9, 5, 5, 6, 3, 0, 0, 1, 0, 6, 9, 7, 5, 6, 6, 1, 4, 4, 3, 1, 0, 0), (11, 6, 9, 10, 5, 3, 6, 1, 1, 1, 0, 0, 0, 11, 6, 3, 2, 11, 5, 2, 1, 4, 3, 1, 0, 0), (9, 4, 7, 5, 9, 4, 3, 2, 3, 1, 2, 1, 0, 5, 10, 9, 5, 12, 4, 5, 6, 4, 6, 4, 0, 0), (10, 7, 9, 8, 8, 2, 3, 3, 3, 1, 2, 1, 0, 7, 10, 4, 4, 5, 6, 2, 2, 5, 2, 2, 1, 0), (9, 13, 10, 12, 6, 1, 5, 7, 5, 5, 1, 0, 0, 7, 6, 4, 11, 9, 7, 5, 0, 3, 3, 2, 0, 0), (14, 10, 14, 7, 10, 6, 2, 5, 5, 0, 1, 1, 0, 4, 6, 7, 7, 5, 3, 8, 5, 6, 6, 1, 0, 0), (10, 9, 11, 8, 5, 3, 5, 5, 3, 1, 0, 2, 0, 8, 9, 8, 7, 12, 3, 2, 2, 7, 3, 1, 0, 0), (13, 8, 13, 8, 7, 3, 3, 2, 5, 1, 0, 0, 0, 3, 8, 5, 5, 5, 2, 3, 4, 5, 3, 1, 2, 0), (8, 10, 7, 7, 3, 5, 6, 8, 4, 3, 3, 1, 0, 11, 8, 6, 13, 13, 3, 8, 0, 6, 1, 1, 1, 0), (5, 13, 12, 11, 6, 5, 4, 2, 1, 2, 3, 1, 0, 8, 5, 8, 8, 7, 9, 4, 2, 0, 4, 3, 0, 0), (15, 13, 5, 4, 7, 2, 6, 4, 4, 4, 2, 3, 0, 18, 7, 8, 4, 6, 3, 3, 3, 4, 2, 1, 1, 0), (9, 15, 5, 9, 9, 3, 7, 2, 6, 0, 1, 2, 0, 10, 9, 10, 11, 8, 5, 2, 5, 3, 1, 1, 0, 0), (10, 9, 12, 5, 11, 3, 4, 5, 6, 1, 0, 1, 0, 9, 9, 3, 4, 15, 8, 5, 2, 3, 2, 3, 3, 0), (8, 7, 3, 6, 2, 3, 2, 4, 5, 2, 2, 2, 0, 6, 5, 5, 1, 12, 6, 2, 3, 3, 4, 1, 4, 0), (6, 7, 9, 9, 8, 6, 3, 6, 6, 2, 0, 1, 0, 12, 11, 8, 9, 9, 10, 2, 2, 6, 0, 2, 4, 0), (15, 13, 8, 9, 9, 3, 5, 5, 5, 0, 2, 1, 0, 8, 9, 11, 9, 8, 7, 2, 1, 2, 5, 2, 0, 0), (10, 6, 9, 4, 7, 3, 4, 6, 3, 1, 0, 1, 0, 8, 9, 5, 7, 9, 5, 7, 3, 1, 3, 0, 1, 0), (8, 10, 7, 6, 9, 7, 2, 2, 7, 1, 0, 2, 0, 7, 8, 6, 6, 4, 5, 4, 2, 4, 5, 2, 1, 0), (11, 9, 6, 10, 6, 2, 3, 5, 7, 3, 1, 1, 0, 6, 8, 4, 6, 4, 3, 2, 2, 2, 1, 0, 2, 0), (11, 9, 7, 12, 8, 4, 0, 7, 1, 1, 0, 0, 0, 8, 7, 9, 9, 4, 3, 7, 3, 4, 0, 1, 2, 0), (9, 10, 12, 13, 8, 6, 2, 2, 2, 2, 1, 1, 0, 10, 10, 4, 6, 7, 7, 6, 2, 4, 2, 1, 2, 0), (11, 9, 10, 4, 5, 0, 6, 6, 1, 1, 1, 1, 0, 12, 9, 6, 5, 3, 11, 4, 2, 7, 6, 4, 0, 0), (18, 9, 9, 6, 9, 0, 1, 1, 7, 3, 2, 0, 0, 9, 5, 6, 3, 8, 3, 1, 2, 2, 3, 3, 2, 0), (10, 10, 10, 6, 2, 12, 7, 0, 7, 2, 3, 0, 0, 5, 12, 8, 1, 14, 6, 4, 2, 6, 3, 1, 0, 0), (15, 9, 11, 11, 10, 4, 5, 1, 9, 3, 0, 1, 0, 9, 7, 7, 5, 6, 7, 2, 1, 3, 4, 0, 2, 0), (14, 13, 9, 18, 7, 6, 2, 4, 4, 1, 3, 1, 0, 9, 10, 7, 8, 4, 4, 5, 4, 2, 1, 3, 3, 0), (8, 5, 6, 4, 11, 3, 6, 5, 6, 2, 0, 2, 0, 15, 6, 6, 6, 5, 6, 3, 4, 3, 3, 1, 2, 0), (6, 8, 15, 4, 6, 3, 3, 4, 1, 4, 0, 0, 0, 15, 8, 11, 5, 12, 1, 6, 1, 5, 6, 1, 0, 0), (15, 17, 9, 7, 8, 4, 5, 2, 2, 0, 0, 1, 0, 10, 9, 3, 6, 8, 5, 2, 4, 5, 4, 1, 1, 0), (7, 11, 6, 11, 12, 3, 4, 4, 2, 1, 3, 1, 0, 9, 7, 10, 2, 8, 4, 7, 2, 7, 0, 1, 2, 0), (9, 5, 9, 12, 5, 1, 3, 4, 2, 1, 0, 1, 0, 11, 7, 5, 6, 15, 4, 4, 1, 4, 3, 1, 1, 0), (8, 5, 7, 10, 11, 5, 7, 3, 6, 1, 2, 1, 0, 18, 9, 6, 8, 8, 5, 6, 2, 3, 2, 1, 2, 0), (10, 12, 7, 10, 9, 2, 3, 4, 3, 1, 0, 0, 0, 7, 11, 3, 6, 8, 4, 4, 5, 6, 3, 0, 0, 0), (11, 10, 12, 7, 10, 8, 4, 1, 2, 3, 1, 1, 0, 16, 7, 14, 5, 12, 9, 1, 1, 5, 2, 3, 2, 0), (8, 14, 12, 8, 6, 4, 3, 2, 4, 1, 1, 0, 0, 14, 10, 11, 5, 9, 4, 2, 2, 5, 4, 2, 0, 0), (8, 14, 9, 3, 6, 3, 4, 6, 2, 0, 1, 2, 0, 7, 11, 7, 5, 15, 1, 3, 4, 2, 3, 0, 0, 0), (9, 11, 8, 9, 5, 1, 2, 3, 4, 5, 1, 0, 0, 11, 12, 10, 6, 8, 6, 4, 3, 11, 7, 2, 2, 0), (11, 10, 13, 12, 7, 5, 8, 4, 2, 2, 0, 0, 0, 11, 6, 10, 9, 3, 6, 5, 2, 3, 5, 5, 0, 0), (8, 7, 6, 7, 6, 4, 6, 1, 3, 2, 1, 1, 0, 12, 11, 7, 3, 14, 7, 0, 1, 3, 4, 3, 1, 0), (8, 8, 9, 10, 7, 3, 1, 3, 3, 4, 1, 0, 0, 12, 11, 7, 2, 6, 5, 1, 1, 2, 1, 3, 1, 0), (6, 11, 8, 5, 13, 2, 2, 4, 4, 1, 2, 1, 0, 10, 12, 6, 4, 4, 5, 4, 2, 2, 4, 2, 0, 0), (10, 11, 8, 14, 7, 4, 3, 6, 5, 0, 1, 0, 0, 6, 14, 2, 3, 6, 5, 4, 3, 4, 3, 1, 2, 0), (13, 6, 12, 10, 5, 2, 4, 2, 2, 2, 1, 0, 0, 12, 8, 11, 5, 11, 1, 7, 3, 7, 1, 1, 1, 0), (12, 14, 10, 6, 10, 3, 4, 6, 6, 3, 1, 0, 0, 10, 13, 5, 3, 11, 6, 4, 1, 5, 3, 2, 0, 0), (13, 10, 6, 11, 3, 5, 5, 7, 9, 0, 3, 0, 0, 6, 8, 7, 4, 4, 3, 4, 2, 4, 3, 2, 0, 0), (11, 8, 10, 13, 8, 6, 3, 4, 2, 2, 1, 2, 0, 5, 7, 6, 4, 10, 8, 4, 1, 4, 2, 0, 1, 0), (10, 13, 9, 6, 5, 4, 1, 4, 4, 5, 0, 2, 0, 8, 6, 6, 9, 7, 3, 6, 5, 4, 6, 0, 0, 0), (12, 5, 4, 10, 10, 3, 4, 5, 4, 1, 1, 0, 0, 12, 4, 5, 10, 7, 6, 1, 1, 5, 4, 1, 0, 0), (12, 14, 7, 12, 9, 0, 5, 3, 4, 1, 2, 0, 0, 10, 9, 4, 2, 6, 5, 6, 1, 2, 1, 1, 3, 0), (7, 9, 4, 7, 6, 1, 0, 2, 3, 2, 0, 0, 0, 10, 11, 9, 5, 7, 4, 2, 3, 4, 4, 2, 0, 0), (12, 6, 8, 12, 5, 4, 3, 5, 3, 2, 1, 0, 0, 18, 7, 9, 8, 5, 3, 9, 1, 6, 5, 4, 1, 0), (13, 10, 9, 11, 9, 4, 3, 3, 5, 1, 2, 0, 0, 10, 9, 8, 2, 8, 0, 8, 1, 3, 3, 1, 2, 0), (10, 12, 7, 10, 4, 5, 4, 3, 3, 3, 1, 0, 0, 6, 6, 6, 5, 11, 4, 3, 6, 3, 1, 2, 0, 0), (12, 12, 13, 5, 7, 11, 3, 4, 6, 2, 1, 1, 0, 17, 9, 11, 5, 6, 2, 4, 4, 2, 2, 0, 0, 0), (10, 11, 11, 6, 10, 2, 2, 2, 3, 4, 5, 0, 0, 9, 7, 6, 7, 4, 8, 10, 4, 4, 2, 0, 1, 0), (9, 6, 7, 14, 9, 6, 7, 5, 4, 1, 2, 0, 0, 12, 7, 4, 7, 12, 1, 2, 6, 5, 4, 0, 0, 0), (11, 7, 10, 13, 8, 2, 7, 2, 5, 0, 1, 0, 0, 14, 12, 7, 3, 9, 5, 5, 2, 1, 2, 1, 1, 0), (12, 7, 9, 9, 13, 3, 6, 3, 6, 1, 0, 0, 0, 14, 7, 7, 6, 6, 2, 5, 1, 2, 6, 2, 1, 0), (5, 9, 13, 13, 5, 4, 2, 4, 2, 1, 2, 1, 0, 8, 18, 11, 4, 13, 5, 6, 2, 5, 2, 0, 2, 0), (13, 3, 7, 10, 6, 7, 4, 1, 5, 2, 2, 0, 0, 6, 12, 3, 4, 3, 2, 2, 1, 3, 2, 2, 0, 0), (4, 9, 8, 7, 7, 4, 1, 4, 2, 1, 2, 0, 0, 8, 6, 8, 9, 9, 4, 6, 2, 2, 3, 2, 0, 0), (14, 9, 8, 9, 5, 8, 2, 1, 1, 1, 1, 2, 0, 17, 9, 15, 5, 8, 2, 4, 3, 2, 2, 1, 3, 0), (13, 6, 7, 12, 8, 4, 4, 3, 1, 1, 1, 1, 0, 14, 6, 6, 6, 12, 4, 4, 3, 4, 4, 2, 1, 0), (9, 7, 6, 12, 6, 1, 3, 2, 6, 2, 1, 1, 0, 9, 7, 8, 3, 10, 9, 6, 4, 2, 3, 2, 1, 0), (11, 11, 9, 8, 6, 7, 4, 1, 3, 3, 1, 1, 0, 5, 10, 4, 4, 7, 3, 4, 2, 6, 0, 0, 0, 0), (14, 8, 10, 8, 9, 3, 3, 3, 5, 3, 2, 2, 0, 12, 12, 5, 6, 4, 4, 3, 3, 0, 1, 2, 1, 0), (9, 13, 9, 9, 7, 3, 3, 3, 5, 3, 1, 1, 0, 13, 8, 4, 6, 3, 7, 1, 1, 5, 1, 2, 0, 0), (13, 8, 8, 9, 7, 5, 5, 2, 3, 0, 0, 0, 0, 13, 5, 5, 5, 13, 2, 7, 0, 7, 0, 1, 1, 0), (9, 7, 4, 14, 9, 2, 4, 4, 5, 2, 1, 1, 0, 9, 13, 8, 2, 2, 4, 3, 1, 3, 6, 0, 0, 0), (6, 12, 11, 13, 8, 3, 2, 2, 4, 0, 2, 0, 0, 10, 8, 5, 3, 8, 6, 3, 10, 1, 3, 4, 0, 0), (14, 15, 1, 10, 6, 2, 2, 3, 4, 0, 2, 1, 0, 6, 11, 11, 3, 9, 4, 3, 2, 4, 3, 1, 2, 0), (15, 5, 3, 9, 8, 1, 8, 2, 4, 1, 1, 2, 0, 14, 9, 8, 4, 10, 1, 3, 3, 9, 3, 3, 1, 0), (12, 10, 8, 16, 7, 5, 6, 1, 3, 1, 2, 1, 0, 11, 12, 5, 5, 10, 3, 6, 2, 3, 3, 2, 0, 0), (9, 13, 13, 3, 5, 3, 3, 4, 3, 1, 2, 1, 0, 11, 11, 13, 4, 4, 4, 4, 1, 7, 2, 3, 1, 0), (9, 4, 7, 5, 6, 2, 5, 5, 5, 1, 1, 0, 0, 11, 9, 10, 3, 3, 5, 0, 2, 3, 1, 1, 1, 0), (9, 12, 12, 11, 4, 3, 5, 4, 2, 1, 2, 0, 0, 10, 7, 6, 5, 9, 2, 4, 6, 4, 0, 0, 0, 0), (12, 6, 8, 6, 14, 4, 3, 3, 2, 1, 0, 1, 0, 7, 10, 4, 4, 6, 3, 4, 3, 4, 5, 1, 1, 0), (13, 10, 8, 3, 3, 5, 3, 4, 3, 1, 1, 0, 0, 11, 9, 9, 5, 9, 6, 3, 4, 5, 1, 2, 1, 0), (7, 6, 8, 9, 5, 2, 3, 2, 3, 0, 0, 0, 0, 8, 9, 2, 5, 4, 2, 1, 0, 3, 3, 2, 0, 0), (10, 10, 8, 6, 9, 4, 2, 4, 2, 1, 1, 2, 0, 7, 11, 8, 7, 13, 1, 5, 2, 1, 5, 1, 1, 0), (1, 6, 7, 8, 8, 9, 2, 1, 5, 2, 0, 1, 0, 12, 13, 10, 4, 12, 3, 2, 1, 1, 2, 3, 0, 0), (10, 12, 3, 11, 7, 4, 2, 3, 2, 5, 2, 2, 0, 12, 6, 7, 8, 5, 2, 7, 2, 3, 3, 5, 2, 0), (10, 10, 7, 5, 7, 4, 6, 3, 6, 1, 0, 0, 0, 16, 6, 8, 9, 8, 2, 0, 4, 4, 4, 1, 0, 0), (10, 8, 9, 6, 6, 0, 5, 3, 7, 0, 2, 0, 0, 6, 11, 5, 4, 9, 8, 0, 6, 0, 5, 3, 0, 0), (5, 10, 7, 11, 4, 3, 2, 2, 5, 0, 0, 1, 0, 10, 7, 8, 5, 7, 1, 1, 2, 2, 2, 0, 0, 0), (7, 3, 13, 8, 8, 4, 2, 5, 6, 3, 1, 0, 0, 7, 3, 6, 3, 4, 2, 4, 5, 5, 3, 4, 1, 0), (6, 8, 5, 5, 10, 3, 1, 2, 1, 2, 1, 2, 0, 8, 8, 7, 2, 12, 1, 4, 0, 3, 2, 2, 0, 0), (15, 11, 12, 7, 6, 2, 3, 5, 5, 1, 1, 0, 0, 12, 8, 6, 4, 2, 3, 0, 1, 9, 6, 3, 0, 0), (11, 8, 2, 5, 5, 4, 4, 2, 7, 5, 4, 1, 0, 6, 6, 9, 10, 8, 5, 8, 2, 2, 2, 0, 0, 0), (9, 8, 6, 8, 10, 1, 4, 3, 6, 5, 0, 0, 0, 20, 8, 7, 4, 10, 3, 5, 0, 3, 9, 1, 1, 0), (20, 6, 10, 4, 8, 5, 2, 4, 1, 3, 1, 0, 0, 11, 2, 5, 4, 10, 4, 5, 4, 2, 1, 3, 0, 0), (9, 5, 10, 8, 7, 7, 2, 3, 4, 1, 1, 1, 0, 7, 8, 6, 6, 7, 2, 4, 2, 3, 2, 5, 1, 0), (12, 8, 9, 7, 4, 2, 0, 3, 2, 4, 1, 1, 0, 11, 11, 8, 5, 4, 6, 9, 0, 4, 4, 0, 0, 0), (13, 4, 9, 1, 9, 2, 3, 5, 1, 1, 0, 0, 0, 6, 6, 6, 7, 4, 4, 3, 4, 1, 4, 1, 0, 0), (11, 7, 8, 4, 7, 6, 2, 3, 5, 0, 1, 0, 0, 4, 5, 4, 1, 9, 5, 0, 5, 2, 4, 3, 2, 0), (14, 10, 12, 4, 8, 3, 5, 2, 3, 0, 3, 1, 0, 9, 2, 2, 6, 7, 6, 1, 4, 6, 2, 2, 1, 0), (9, 7, 7, 11, 15, 3, 3, 7, 6, 1, 1, 1, 0, 13, 10, 10, 7, 6, 3, 3, 5, 7, 0, 1, 2, 0), (9, 8, 12, 4, 8, 4, 3, 1, 2, 0, 0, 2, 0, 9, 12, 4, 2, 12, 3, 6, 3, 5, 3, 3, 0, 0), (14, 5, 10, 6, 7, 2, 2, 1, 5, 1, 3, 0, 0, 10, 3, 10, 7, 4, 3, 1, 8, 4, 3, 1, 1, 0), (9, 9, 3, 7, 7, 2, 2, 4, 5, 2, 3, 1, 0, 14, 6, 2, 5, 4, 1, 4, 1, 3, 2, 0, 0, 0), (10, 8, 11, 9, 10, 4, 1, 1, 4, 2, 4, 0, 0, 9, 8, 7, 8, 6, 3, 3, 6, 3, 5, 3, 0, 0), (10, 9, 7, 5, 7, 3, 0, 4, 4, 0, 0, 0, 0, 15, 7, 6, 5, 3, 6, 3, 3, 6, 5, 3, 0, 0), (11, 8, 9, 11, 6, 3, 3, 3, 5, 1, 1, 0, 0, 9, 8, 7, 4, 4, 4, 1, 1, 4, 1, 0, 2, 0), (5, 8, 8, 10, 7, 5, 4, 0, 5, 1, 0, 1, 0, 11, 5, 3, 1, 11, 4, 2, 2, 3, 3, 1, 1, 0), (6, 8, 9, 6, 10, 5, 1, 1, 7, 1, 2, 1, 0, 8, 10, 3, 2, 11, 3, 1, 2, 2, 2, 4, 1, 0), (9, 8, 6, 6, 7, 3, 4, 2, 3, 2, 1, 0, 0, 10, 2, 9, 6, 9, 1, 4, 1, 2, 3, 2, 1, 0), (10, 7, 5, 8, 11, 2, 4, 4, 5, 1, 1, 0, 0, 10, 11, 4, 6, 9, 8, 6, 2, 3, 3, 4, 0, 0), (14, 12, 8, 6, 8, 3, 5, 4, 1, 0, 1, 0, 0, 6, 6, 5, 2, 3, 6, 4, 2, 4, 2, 2, 1, 0), (4, 11, 5, 12, 3, 3, 5, 5, 3, 2, 0, 0, 0, 6, 9, 4, 7, 5, 1, 4, 3, 5, 2, 0, 0, 0), (8, 11, 4, 6, 3, 2, 2, 3, 2, 2, 0, 1, 0, 7, 6, 13, 10, 8, 2, 2, 3, 0, 2, 2, 1, 0), (6, 6, 10, 6, 8, 3, 3, 3, 3, 2, 4, 0, 0, 7, 5, 4, 4, 6, 2, 1, 2, 5, 4, 5, 0, 0), (8, 7, 7, 5, 10, 2, 6, 8, 6, 4, 1, 0, 0, 8, 4, 8, 7, 11, 2, 3, 3, 6, 0, 3, 0, 0), (13, 6, 9, 8, 2, 2, 2, 1, 6, 1, 1, 0, 0, 9, 9, 3, 4, 10, 3, 3, 4, 2, 1, 4, 0, 0), (9, 7, 9, 9, 8, 1, 7, 5, 5, 2, 0, 0, 0, 7, 4, 5, 5, 3, 6, 1, 2, 8, 5, 2, 0, 0), (7, 7, 5, 10, 3, 3, 3, 3, 3, 2, 0, 0, 0, 9, 3, 3, 6, 5, 3, 3, 2, 6, 3, 2, 3, 0), (14, 5, 6, 4, 13, 5, 1, 4, 3, 1, 0, 2, 0, 10, 6, 5, 7, 6, 4, 3, 2, 2, 1, 0, 1, 0), (8, 5, 6, 13, 10, 1, 7, 1, 2, 0, 1, 0, 0, 7, 6, 7, 5, 8, 6, 4, 4, 0, 1, 2, 1, 0), (9, 3, 10, 11, 2, 1, 5, 1, 0, 0, 2, 1, 0, 10, 6, 7, 3, 6, 2, 5, 5, 5, 1, 0, 0, 0), (14, 7, 9, 6, 7, 2, 2, 2, 4, 3, 1, 0, 0, 11, 4, 2, 6, 6, 6, 0, 1, 4, 4, 1, 0, 0), (8, 4, 7, 15, 6, 1, 0, 1, 2, 2, 0, 0, 0, 14, 8, 5, 1, 3, 3, 5, 1, 2, 7, 0, 0, 0), (6, 3, 6, 4, 10, 2, 6, 2, 3, 2, 0, 0, 0, 14, 8, 5, 0, 7, 2, 2, 1, 4, 2, 0, 0, 0), (11, 8, 9, 8, 6, 1, 1, 1, 6, 2, 0, 0, 0, 8, 3, 6, 7, 7, 2, 2, 2, 1, 3, 0, 1, 0), (8, 4, 10, 5, 7, 2, 1, 5, 1, 1, 0, 0, 0, 9, 14, 7, 5, 5, 2, 3, 2, 2, 0, 0, 0, 0), (8, 6, 8, 15, 10, 4, 1, 2, 4, 4, 2, 1, 0, 6, 11, 5, 5, 5, 4, 3, 1, 1, 0, 1, 0, 0), (8, 4, 8, 14, 7, 1, 2, 3, 1, 1, 1, 0, 0, 7, 11, 5, 2, 6, 4, 3, 4, 3, 0, 2, 0, 0), (5, 11, 4, 13, 10, 2, 3, 2, 2, 1, 1, 1, 0, 7, 8, 2, 2, 5, 4, 3, 5, 2, 2, 1, 2, 0), (9, 9, 4, 12, 2, 1, 3, 1, 7, 0, 3, 0, 0, 15, 9, 2, 4, 9, 1, 2, 1, 1, 3, 4, 0, 0), (12, 2, 7, 6, 6, 3, 5, 2, 3, 0, 0, 0, 0, 9, 4, 7, 5, 11, 1, 3, 4, 9, 1, 1, 1, 0), (9, 5, 4, 10, 6, 3, 2, 3, 2, 3, 1, 0, 0, 11, 5, 8, 2, 7, 5, 4, 2, 6, 4, 3, 0, 0), (9, 5, 6, 4, 7, 5, 3, 3, 2, 2, 0, 1, 0, 12, 6, 5, 6, 5, 2, 3, 0, 1, 4, 0, 0, 0), (11, 13, 4, 6, 5, 6, 3, 2, 7, 0, 3, 1, 0, 3, 4, 5, 4, 6, 7, 6, 4, 3, 2, 0, 1, 0), (9, 7, 7, 8, 9, 2, 1, 4, 5, 1, 0, 0, 0, 9, 5, 13, 5, 10, 2, 5, 2, 2, 3, 2, 1, 0), (8, 5, 6, 8, 7, 1, 5, 1, 6, 2, 0, 0, 0, 2, 0, 8, 2, 5, 1, 1, 4, 2, 4, 3, 0, 0), (9, 7, 6, 9, 11, 2, 1, 1, 2, 2, 1, 4, 0, 13, 3, 3, 2, 3, 4, 3, 5, 6, 2, 0, 3, 0), (15, 11, 7, 9, 8, 4, 3, 6, 2, 1, 0, 0, 0, 7, 4, 4, 1, 6, 2, 2, 3, 1, 5, 0, 1, 0), (14, 4, 5, 5, 8, 3, 3, 2, 3, 2, 0, 0, 0, 10, 10, 7, 4, 5, 4, 0, 1, 6, 6, 0, 0, 0), (10, 7, 7, 5, 6, 1, 2, 5, 4, 7, 0, 1, 0, 14, 10, 5, 3, 9, 4, 4, 4, 2, 3, 1, 1, 0), (6, 4, 4, 7, 6, 1, 0, 2, 2, 1, 3, 2, 0, 8, 6, 7, 3, 6, 2, 3, 3, 2, 3, 1, 0, 0), (11, 3, 8, 5, 4, 3, 4, 1, 3, 4, 4, 0, 0, 11, 6, 2, 5, 9, 2, 1, 1, 6, 3, 2, 0, 0), (12, 7, 10, 8, 4, 2, 4, 2, 6, 1, 0, 0, 0, 8, 10, 3, 2, 5, 1, 2, 2, 1, 1, 1, 1, 0), (4, 2, 8, 11, 6, 3, 1, 6, 0, 2, 3, 3, 0, 8, 8, 5, 2, 9, 3, 3, 6, 4, 1, 1, 0, 0), (5, 4, 1, 4, 4, 2, 1, 3, 3, 1, 0, 2, 0, 10, 5, 5, 4, 5, 6, 2, 4, 3, 3, 2, 0, 0), (4, 5, 5, 7, 7, 2, 1, 2, 5, 0, 0, 1, 0, 14, 12, 3, 4, 5, 3, 1, 1, 1, 2, 1, 1, 0), (6, 1, 9, 9, 5, 1, 2, 1, 2, 0, 0, 0, 0, 12, 8, 8, 1, 7, 7, 3, 0, 3, 1, 2, 0, 0), (8, 4, 11, 8, 3, 4, 0, 4, 3, 3, 0, 1, 0, 7, 3, 6, 5, 6, 6, 4, 1, 5, 2, 1, 0, 0), (8, 7, 10, 3, 6, 6, 2, 1, 1, 2, 3, 0, 0, 11, 14, 8, 6, 5, 2, 2, 2, 2, 3, 0, 0, 0), (5, 10, 5, 8, 3, 2, 2, 4, 2, 0, 1, 1, 0, 10, 7, 4, 3, 3, 4, 3, 1, 5, 3, 1, 0, 0), (8, 10, 7, 7, 9, 0, 3, 1, 3, 2, 0, 2, 0, 8, 8, 7, 4, 5, 0, 1, 3, 3, 3, 0, 0, 0), (8, 2, 5, 11, 5, 1, 1, 1, 3, 1, 1, 0, 0, 4, 3, 11, 6, 4, 3, 4, 3, 5, 3, 1, 0, 0), (10, 5, 5, 4, 6, 6, 1, 0, 3, 2, 1, 1, 0, 7, 5, 5, 4, 7, 5, 3, 2, 1, 3, 2, 0, 0), (7, 4, 8, 5, 5, 3, 1, 3, 4, 0, 1, 1, 0, 12, 7, 3, 6, 11, 2, 1, 3, 5, 1, 3, 0, 0), (4, 4, 4, 3, 8, 3, 1, 4, 7, 1, 1, 2, 0, 4, 8, 5, 5, 8, 5, 2, 1, 2, 4, 0, 1, 0), (6, 3, 6, 10, 7, 4, 2, 1, 4, 2, 1, 0, 0, 4, 6, 6, 1, 12, 3, 3, 1, 2, 1, 0, 0, 0), (10, 10, 4, 3, 3, 6, 3, 4, 2, 0, 0, 0, 0, 5, 8, 4, 4, 8, 3, 1, 4, 2, 2, 0, 0, 0), (11, 2, 8, 9, 6, 1, 5, 1, 3, 0, 3, 0, 0, 1, 5, 3, 6, 4, 2, 1, 2, 4, 4, 0, 1, 0), (5, 6, 9, 7, 3, 1, 3, 2, 2, 1, 1, 0, 0, 10, 6, 3, 3, 9, 2, 1, 2, 4, 3, 0, 0, 0), (6, 4, 4, 5, 6, 4, 1, 1, 4, 1, 0, 3, 0, 3, 5, 4, 0, 10, 5, 0, 3, 4, 0, 1, 1, 0), (6, 1, 6, 7, 4, 1, 1, 0, 2, 2, 0, 1, 0, 4, 6, 3, 5, 7, 5, 1, 2, 4, 3, 0, 0, 0), (1, 5, 3, 5, 4, 3, 2, 3, 0, 1, 0, 0, 0, 8, 5, 6, 5, 4, 2, 0, 0, 1, 5, 1, 0, 0), (9, 3, 10, 5, 6, 0, 5, 3, 3, 1, 0, 0, 0, 8, 6, 2, 4, 9, 0, 2, 2, 4, 2, 0, 0, 0), (10, 3, 8, 7, 5, 4, 3, 3, 1, 0, 0, 0, 0, 1, 3, 3, 2, 5, 3, 3, 1, 0, 3, 0, 2, 0), (4, 2, 6, 3, 1, 2, 2, 0, 4, 0, 1, 0, 0, 8, 5, 4, 4, 3, 0, 2, 1, 5, 3, 0, 0, 0), (3, 5, 4, 1, 0, 2, 3, 0, 4, 2, 1, 0, 0, 5, 6, 2, 1, 5, 3, 3, 4, 2, 2, 0, 0, 0), (7, 2, 3, 4, 5, 2, 1, 2, 3, 3, 0, 0, 0, 7, 3, 2, 5, 4, 0, 1, 1, 1, 2, 0, 1, 0), (5, 2, 5, 6, 1, 4, 3, 0, 4, 0, 1, 0, 0, 7, 6, 1, 7, 4, 1, 2, 1, 2, 1, 1, 0, 0), (4, 3, 7, 2, 5, 3, 1, 3, 3, 0, 1, 0, 0, 3, 5, 7, 2, 6, 1, 0, 0, 1, 1, 1, 0, 0), (2, 2, 5, 2, 7, 1, 3, 1, 3, 2, 0, 0, 0, 11, 5, 1, 1, 5, 2, 1, 1, 1, 4, 0, 0, 0), (1, 0, 7, 3, 5, 3, 1, 0, 2, 1, 0, 1, 0, 6, 1, 1, 4, 4, 2, 2, 2, 2, 4, 0, 0, 0), (1, 4, 5, 3, 3, 0, 0, 2, 1, 1, 0, 0, 0, 5, 3, 3, 1, 6, 2, 1, 0, 2, 1, 1, 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))
station_arriving_intensity = ((5.020865578371768, 5.525288559693166, 5.211283229612507, 6.214667773863432, 5.554685607609612, 3.1386549320373387, 4.146035615373915, 4.653176172979423, 6.090099062168007, 3.9580150155223697, 4.205265163885603, 4.897915078306173, 5.083880212578363), (5.354327152019974, 5.890060694144759, 5.555346591330152, 6.625144253276616, 5.922490337474237, 3.3459835840425556, 4.419468941263694, 4.959513722905708, 6.492245326332909, 4.21898069227715, 4.483096135956131, 5.221216660814354, 5.419791647439855), (5.686723008979731, 6.253385170890979, 5.8980422855474135, 7.033987704664794, 6.288962973749744, 3.5524851145124448, 4.691818507960704, 5.264625247904419, 6.892786806877549, 4.478913775020546, 4.759823148776313, 5.543232652053055, 5.75436482820969), (6.016757793146562, 6.613820501936447, 6.238010869319854, 7.439576407532074, 6.652661676001902, 3.757340622585113, 4.962003641647955, 5.567301157494507, 7.290135160921093, 4.736782698426181, 5.0343484118273825, 5.862685684930461, 6.086272806254225), (6.343136148415981, 6.9699251992857745, 6.573892899703036, 7.840288641382569, 7.012144603796492, 3.9597312073986677, 5.2289436685084585, 5.866331861194915, 7.682702045582707, 4.991555897167679, 5.305574134590575, 6.178298392354764, 6.414188632939817), (6.66456271868351, 7.320257774943588, 6.9043289337525175, 8.234502685720393, 7.36596991669928, 4.158837968091214, 5.491557914725224, 6.160507768524592, 8.068899117981559, 5.242201805918663, 5.572402526547132, 6.488793407234148, 6.736785359632827), (6.979742147844666, 7.663376740914501, 7.227959528523866, 8.620596820049652, 7.712695774276043, 4.353842003800864, 5.7487657064812625, 6.4486192890024885, 8.447138035236815, 5.487688859352758, 5.833735797178282, 6.792893362476808, 7.052736037699606), (7.2873790797949685, 7.997840609203132, 7.543425241072635, 8.996949323874462, 8.050880336092554, 4.543924413665721, 5.999486369959585, 6.729456832147552, 8.815830454467644, 5.726985492143586, 6.088476155965268, 7.089320890990929, 7.360713718506519), (7.586178158429934, 8.322207891814099, 7.849366628454396, 9.361938476698928, 8.379081761714586, 4.7282662968238895, 6.2426392313431975, 7.001810807478725, 9.173388032793206, 5.959060138964774, 6.335525812389321, 7.376798625684702, 7.659391453419917), (7.874844027645085, 8.635037100752022, 8.144424247724704, 9.713942558027169, 8.69585821070791, 4.906048752413484, 6.47714361681512, 7.264471624514963, 9.518222427332674, 6.182881234489941, 6.573786975931678, 7.654049199466313, 7.947442293806162), (8.152081331335932, 8.934886748021516, 8.427238655939124, 10.051339847363288, 8.9997678426383, 5.076452879572607, 6.701918852558355, 7.516229692775211, 9.848745295205214, 6.397417213392714, 6.802161856073574, 7.919795245243952, 8.22353929103161), (8.416594713398005, 9.220315345627206, 8.696450410153215, 10.372508624211397, 9.289368817071534, 5.238659777439368, 6.915884264755916, 7.7558754217784145, 10.163368293529993, 6.601636510346719, 7.019552662296249, 8.17275939592581, 8.486355496462611), (8.667088817726812, 9.489881405573698, 8.95070006742254, 10.675827168075612, 9.563219293573377, 5.391850545151869, 7.1179591795908115, 7.982199221043521, 10.460503079426179, 6.794507560025572, 7.224861604080934, 8.411664284420068, 8.734563961465534), (8.902268288217876, 9.74214343986562, 9.188628184802662, 10.959673758460044, 9.819877431709601, 5.5352062818482235, 7.307062923246056, 8.193991500089481, 10.738561310012932, 6.974998797102904, 7.416990890908869, 8.63523254363492, 8.966837737406735), (9.120837768766716, 9.975659960507588, 9.408875319349146, 11.222426674868792, 10.05790139104599, 5.667908086666534, 7.482114821904661, 8.390042668435246, 10.995954642409421, 7.142078656252334, 7.594842732261284, 8.84218680647856, 9.181849875652563), (9.321501903268855, 10.188989479504217, 9.610082028117542, 11.462464196805985, 10.275849331148308, 5.789137058744912, 7.642034201749626, 8.569143135599756, 11.23109473373482, 7.29471557214749, 7.757319337619419, 9.031249705859171, 9.37827342756938), (9.5029653356198, 10.380690508860132, 9.790888868163425, 11.678164603775716, 10.472279411582333, 5.898074297221459, 7.785740388963976, 8.73008331110196, 11.442393241108286, 7.431877979461996, 7.9033229164645125, 9.20114387468494, 9.554781444523545), (9.663932709715075, 10.549321560579946, 9.949936396542352, 11.867906175282112, 10.645749791913838, 5.993900901234285, 7.9121527097307105, 8.871653604460818, 11.628261821648984, 7.552534312869467, 8.031755678277799, 9.350591945864055, 9.710046977881415), (9.803108669450204, 10.693441146668274, 10.08586517030988, 12.030067190829278, 10.794818631708589, 6.075797969921503, 8.020190490232851, 8.99264442519526, 11.787112132476096, 7.6556530070435365, 8.141519832540508, 9.478316552304715, 9.842743079009345), (9.919197858720699, 10.811607779129744, 10.197315746521578, 12.163025929921314, 10.918044090532366, 6.142946602421208, 8.108773056653394, 9.091846182824245, 11.917355830708779, 7.740202496657828, 8.231517588733878, 9.583040326915096, 9.951542799273696), (10.010904921422082, 10.902379969968962, 10.282928682233003, 12.265160672062354, 11.013984327950944, 6.194527897871518, 8.176819735175362, 9.168049286866717, 12.017404573466198, 7.805151216385958, 8.30065115633915, 9.66348590260339, 10.035119190040824), (10.076934501449866, 10.964316231190558, 10.341344534499719, 12.334849696756486, 11.081197503530088, 6.229722955410535, 8.223249851981759, 9.220044146841623, 12.085670017867521, 7.849467600901555, 8.34782274483756, 9.718375912277793, 10.092145302677078), (10.115991242699579, 10.995975074799144, 10.371203860377285, 12.370471283507836, 11.118241776835575, 6.247712874176367, 8.2469827332556, 9.246621172267915, 12.120563821031915, 7.872120084878242, 8.37193456371034, 9.74643298884649, 10.121294188548827), (10.13039336334264, 10.999723593964335, 10.374923182441702, 12.374930812757203, 11.127732056032597, 6.25, 8.249804002259339, 9.249493827160494, 12.124926234567901, 7.874792272519433, 8.37495803716174, 9.749897576588934, 10.125), (10.141012413034153, 10.997537037037038, 10.374314814814815, 12.374381944444446, 11.133107613614852, 6.25, 8.248253812636166, 9.2455, 12.124341666666666, 7.87315061728395, 8.37462457912458, 9.749086419753086, 10.125), (10.15140723021158, 10.993227023319616, 10.373113854595337, 12.373296039094651, 11.138364945594503, 6.25, 8.24519890260631, 9.237654320987655, 12.123186728395062, 7.869918838591678, 8.373963399426362, 9.747485139460448, 10.125), (10.161577019048034, 10.986859396433472, 10.371336762688616, 12.37168544238683, 11.143503868421105, 6.25, 8.240686718308721, 9.226104938271606, 12.1214762345679, 7.865150708733425, 8.372980483850855, 9.745115683584821, 10.125), (10.171520983716636, 10.978499999999999, 10.369, 12.369562499999999, 11.148524198544214, 6.25, 8.234764705882354, 9.211, 12.119225, 7.858899999999999, 8.371681818181818, 9.742, 10.125), (10.181238328390501, 10.968214677640603, 10.366120027434842, 12.366939557613168, 11.153425752413401, 6.25, 8.22748031146615, 9.192487654320988, 12.116447839506172, 7.851220484682213, 8.370073388203018, 9.73816003657979, 10.125), (10.19072825724275, 10.95606927297668, 10.362713305898492, 12.36382896090535, 11.15820834647822, 6.25, 8.218880981199066, 9.170716049382715, 12.113159567901235, 7.842165935070874, 8.368161179698216, 9.733617741197987, 10.125), (10.199989974446497, 10.94212962962963, 10.358796296296296, 12.360243055555555, 11.162871797188236, 6.25, 8.209014161220043, 9.145833333333332, 12.109375, 7.83179012345679, 8.365951178451178, 9.728395061728394, 10.125), (10.209022684174858, 10.926461591220852, 10.354385459533608, 12.356194187242798, 11.167415920993008, 6.25, 8.19792729766804, 9.117987654320988, 12.105108950617284, 7.820146822130773, 8.363449370245666, 9.722513946044812, 10.125), (10.217825590600954, 10.909131001371742, 10.349497256515773, 12.35169470164609, 11.171840534342095, 6.25, 8.185667836681999, 9.087327160493828, 12.100376234567902, 7.807289803383631, 8.360661740865444, 9.715996342021034, 10.125), (10.226397897897897, 10.890203703703703, 10.344148148148149, 12.346756944444444, 11.176145453685063, 6.25, 8.172283224400871, 9.054, 12.095191666666667, 7.793272839506173, 8.357594276094275, 9.708864197530863, 10.125), (10.23473881023881, 10.869745541838133, 10.338354595336076, 12.341393261316872, 11.180330495471466, 6.25, 8.15782090696361, 9.018154320987653, 12.089570061728397, 7.778149702789209, 8.354252961715924, 9.701139460448102, 10.125), (10.242847531796807, 10.847822359396433, 10.332133058984912, 12.335615997942385, 11.18439547615087, 6.25, 8.142328330509159, 8.979938271604938, 12.083526234567902, 7.761974165523548, 8.350643783514153, 9.692844078646548, 10.125), (10.250723266745005, 10.824499999999999, 10.3255, 12.3294375, 11.188340212172836, 6.25, 8.12585294117647, 8.9395, 12.077074999999999, 7.7448, 8.346772727272727, 9.684000000000001, 10.125), (10.258365219256524, 10.799844307270233, 10.318471879286694, 12.322870113168724, 11.192164519986921, 6.25, 8.108442185104494, 8.896987654320988, 12.070231172839506, 7.726680978509374, 8.34264577877541, 9.674629172382259, 10.125), (10.265772593504476, 10.773921124828533, 10.311065157750342, 12.315926183127573, 11.19586821604269, 6.25, 8.09014350843218, 8.85254938271605, 12.063009567901235, 7.707670873342479, 8.33826892380596, 9.664753543667125, 10.125), (10.272944593661986, 10.746796296296296, 10.303296296296297, 12.308618055555556, 11.199451116789703, 6.25, 8.071004357298476, 8.806333333333333, 12.055425000000001, 7.687823456790124, 8.333648148148148, 9.654395061728394, 10.125), (10.279880423902163, 10.718535665294924, 10.295181755829903, 12.300958076131687, 11.202913038677519, 6.25, 8.05107217784233, 8.758487654320989, 12.047492283950618, 7.667192501143119, 8.328789437585733, 9.643575674439873, 10.125), (10.286579288398128, 10.689205075445816, 10.286737997256516, 12.29295859053498, 11.206253798155702, 6.25, 8.030394416202695, 8.709160493827161, 12.0392262345679, 7.645831778692272, 8.323698777902482, 9.632317329675354, 10.125), (10.293040391323, 10.658870370370371, 10.277981481481483, 12.284631944444445, 11.209473211673808, 6.25, 8.009018518518518, 8.6585, 12.030641666666668, 7.623795061728395, 8.318382154882155, 9.620641975308642, 10.125), (10.299262936849892, 10.627597393689987, 10.268928669410151, 12.275990483539095, 11.212571095681403, 6.25, 7.98699193092875, 8.606654320987655, 12.021753395061728, 7.601136122542296, 8.312845554308517, 9.608571559213535, 10.125), (10.305246129151927, 10.595451989026063, 10.259596021947875, 12.267046553497943, 11.215547266628045, 6.25, 7.964362099572339, 8.553771604938273, 12.0125762345679, 7.577908733424783, 8.307094961965332, 9.596128029263832, 10.125), (10.310989172402216, 10.5625, 10.25, 12.2578125, 11.218401540963296, 6.25, 7.9411764705882355, 8.5, 12.003124999999999, 7.554166666666667, 8.301136363636363, 9.583333333333332, 10.125), (10.31649127077388, 10.528807270233196, 10.240157064471878, 12.24830066872428, 11.221133735136716, 6.25, 7.917482490115388, 8.445487654320988, 11.993414506172838, 7.529963694558756, 8.294975745105374, 9.57020941929584, 10.125), (10.321751628440035, 10.49443964334705, 10.230083676268862, 12.238523405349794, 11.223743665597867, 6.25, 7.893327604292747, 8.390382716049382, 11.983459567901235, 7.505353589391861, 8.288619092156129, 9.55677823502515, 10.125), (10.326769449573796, 10.459462962962963, 10.219796296296296, 12.228493055555557, 11.22623114879631, 6.25, 7.868759259259259, 8.334833333333334, 11.973275000000001, 7.4803901234567896, 8.28207239057239, 9.543061728395061, 10.125), (10.331543938348286, 10.42394307270233, 10.209311385459534, 12.218221965020577, 11.228596001181607, 6.25, 7.8438249011538765, 8.278987654320987, 11.96287561728395, 7.455127069044353, 8.275341626137923, 9.529081847279379, 10.125), (10.336074298936616, 10.387945816186559, 10.198645404663925, 12.207722479423868, 11.230838039203315, 6.25, 7.81857197611555, 8.222993827160494, 11.9522762345679, 7.429618198445358, 8.268432784636488, 9.514860539551899, 10.125), (10.34035973551191, 10.351537037037037, 10.187814814814814, 12.197006944444444, 11.232957079310998, 6.25, 7.793047930283224, 8.167, 11.941491666666668, 7.403917283950617, 8.261351851851853, 9.50041975308642, 10.125), (10.344399452247279, 10.314782578875173, 10.176836076817558, 12.186087705761317, 11.234952937954214, 6.25, 7.767300209795852, 8.111154320987653, 11.930536728395062, 7.3780780978509375, 8.254104813567777, 9.485781435756746, 10.125), (10.348192653315843, 10.27774828532236, 10.165725651577505, 12.174977109053497, 11.23682543158253, 6.25, 7.741376260792383, 8.055604938271605, 11.919426234567903, 7.3521544124371285, 8.246697655568026, 9.470967535436671, 10.125), (10.351738542890716, 10.2405, 10.154499999999999, 12.1636875, 11.238574376645502, 6.25, 7.715323529411765, 8.000499999999999, 11.908175, 7.3262, 8.239136363636362, 9.456, 10.125), (10.355036325145022, 10.203103566529492, 10.143175582990398, 12.152231224279834, 11.24019958959269, 6.25, 7.689189461792948, 7.945987654320987, 11.896797839506172, 7.300268632830361, 8.231426923556553, 9.44090077732053, 10.125), (10.358085204251871, 10.165624828532236, 10.131768861454047, 12.140620627572016, 11.241700886873659, 6.25, 7.663021504074881, 7.892216049382716, 11.885309567901235, 7.274414083219022, 8.223575321112358, 9.425691815272062, 10.125), (10.360884384384383, 10.12812962962963, 10.120296296296297, 12.128868055555555, 11.243078084937967, 6.25, 7.636867102396514, 7.839333333333334, 11.873725, 7.24869012345679, 8.215587542087542, 9.410395061728394, 10.125), (10.36343306971568, 10.090683813443073, 10.108774348422497, 12.116985853909464, 11.244331000235174, 6.25, 7.610773702896797, 7.787487654320987, 11.862058950617284, 7.223150525834477, 8.20746957226587, 9.395032464563329, 10.125), (10.36573046441887, 10.053353223593964, 10.097219478737998, 12.104986368312757, 11.245459449214845, 6.25, 7.584788751714678, 7.736827160493827, 11.850326234567902, 7.197849062642891, 8.1992273974311, 9.379625971650663, 10.125), (10.367775772667077, 10.016203703703704, 10.085648148148147, 12.092881944444445, 11.246463248326537, 6.25, 7.558959694989106, 7.6875, 11.838541666666668, 7.172839506172839, 8.190867003367003, 9.364197530864198, 10.125), (10.369568198633415, 9.97930109739369, 10.0740768175583, 12.080684927983539, 11.247342214019811, 6.25, 7.533333978859033, 7.639654320987654, 11.826720061728395, 7.148175628715135, 8.182394375857339, 9.348769090077733, 10.125), (10.371106946491004, 9.942711248285322, 10.062521947873801, 12.068407664609055, 11.248096162744234, 6.25, 7.507959049463406, 7.5934382716049384, 11.814876234567901, 7.123911202560586, 8.17381550068587, 9.333362597165067, 10.125), (10.37239122041296, 9.9065, 10.051, 12.056062500000001, 11.248724910949356, 6.25, 7.482882352941176, 7.549, 11.803025, 7.100099999999999, 8.165136363636364, 9.318, 10.125), (10.373420224572397, 9.870733196159122, 10.039527434842249, 12.043661779835391, 11.249228275084748, 6.25, 7.458151335431292, 7.506487654320988, 11.791181172839506, 7.076795793324188, 8.156362950492579, 9.302703246456334, 10.125), (10.374193163142438, 9.835476680384087, 10.0281207133059, 12.031217849794238, 11.249606071599967, 6.25, 7.433813443072703, 7.466049382716049, 11.779359567901235, 7.054052354823959, 8.147501247038285, 9.287494284407863, 10.125), (10.374709240296196, 9.800796296296298, 10.016796296296297, 12.018743055555555, 11.249858116944573, 6.25, 7.409916122004357, 7.427833333333334, 11.767575, 7.031923456790123, 8.138557239057238, 9.272395061728396, 10.125), (10.374967660206792, 9.766757887517146, 10.005570644718793, 12.006249742798353, 11.24998422756813, 6.25, 7.386506818365206, 7.391987654320989, 11.755842283950617, 7.010462871513489, 8.12953691233321, 9.257427526291723, 10.125), (10.374791614480825, 9.733248639320323, 9.994405949931412, 11.993641740472357, 11.249877955297345, 6.2498840115836, 7.363515194829646, 7.358343850022862, 11.744087848651121, 6.989620441647166, 8.120285988540376, 9.242530021899743, 10.124875150034294), (10.373141706924315, 9.699245519713262, 9.982988425925925, 11.980283514492752, 11.248910675381262, 6.248967078189301, 7.340268181346613, 7.325098765432099, 11.731797839506173, 6.968806390704429, 8.10986283891547, 9.227218973359324, 10.12388599537037), (10.369885787558895, 9.664592459843355, 9.971268432784635, 11.966087124261943, 11.246999314128942, 6.247161255906112, 7.31666013456137, 7.291952446273434, 11.718902892089622, 6.947919524462734, 8.09814888652608, 9.211422761292809, 10.121932334533609), (10.365069660642929, 9.62931016859153, 9.959250085733881, 11.951073503757382, 11.244168078754136, 6.244495808565767, 7.292701659538988, 7.258915866483768, 11.705422210791038, 6.926960359342639, 8.085187370783862, 9.195152937212715, 10.119039887688615), (10.358739130434783, 9.593419354838709, 9.946937499999999, 11.935263586956522, 11.240441176470588, 6.2410000000000005, 7.268403361344538, 7.226, 11.691375, 6.905929411764705, 8.07102153110048, 9.17842105263158, 10.115234375), (10.35094000119282, 9.556940727465816, 9.934334790809327, 11.918678307836823, 11.23584281449205, 6.236703094040542, 7.243775845043092, 7.193215820759031, 11.676780464106082, 6.884827198149493, 8.055694606887588, 9.161238659061919, 10.110541516632374), (10.341718077175404, 9.519894995353777, 9.921446073388202, 11.901338600375738, 11.230397200032275, 6.231634354519128, 7.218829715699722, 7.160574302697759, 11.661657807498857, 6.863654234917561, 8.039249837556856, 9.143617308016267, 10.104987032750344), (10.331119162640901, 9.482302867383511, 9.908275462962962, 11.883265398550725, 11.224128540305012, 6.22582304526749, 7.1935755783795, 7.128086419753086, 11.6460262345679, 6.84241103848947, 8.021730462519935, 9.125568551007147, 10.098596643518519), (10.319189061847677, 9.44418505243595, 9.894827074759945, 11.864479636339238, 11.217061042524005, 6.219298430117361, 7.168024038147495, 7.095763145861912, 11.629904949702789, 6.821098125285779, 8.003179721188491, 9.107103939547082, 10.091396069101508), (10.305973579054093, 9.40556225939201, 9.881105024005485, 11.845002247718732, 11.209218913903008, 6.212089772900472, 7.142185700068779, 7.063615454961135, 11.613313157293096, 6.7997160117270505, 7.983640852974187, 9.088235025148606, 10.083411029663925), (10.291518518518519, 9.366455197132618, 9.867113425925925, 11.824854166666666, 11.200626361655774, 6.204226337448559, 7.116071169208425, 7.031654320987655, 11.596270061728394, 6.7782652142338415, 7.9631570972886765, 9.068973359324238, 10.074667245370371), (10.275869684499314, 9.326884574538697, 9.8528563957476, 11.804056327160493, 11.191307592996047, 6.195737387593354, 7.089691050631501, 6.9998907178783725, 11.578794867398262, 6.756746249226714, 7.941771693543622, 9.049330493586504, 10.065190436385459), (10.259072881254847, 9.286871100491172, 9.838338048696844, 11.782629663177671, 11.181286815137579, 6.18665218716659, 7.063055949403081, 6.968335619570188, 11.560906778692273, 6.7351596331262265, 7.919527881150688, 9.029317979447935, 10.0550063228738), (10.241173913043479, 9.246435483870968, 9.8235625, 11.760595108695654, 11.170588235294117, 6.177, 7.036176470588235, 6.937, 11.542625, 6.713505882352941, 7.8964688995215315, 9.008947368421053, 10.044140624999999), (10.222218584123576, 9.205598433559008, 9.808533864883403, 11.737973597691894, 11.159236060679415, 6.166810089925317, 7.009063219252036, 6.90589483310471, 11.52396873571102, 6.691785513327416, 7.872637988067813, 8.988230212018387, 10.03261906292867), (10.202252698753504, 9.164380658436214, 9.793256258573388, 11.714786064143853, 11.147254498507221, 6.156111720774272, 6.981726800459553, 6.875031092821216, 11.504957190214906, 6.669999042470211, 7.848078386201194, 8.967178061752461, 10.020467356824417), (10.181322061191626, 9.122802867383513, 9.777733796296296, 11.691053442028986, 11.134667755991286, 6.144934156378601, 6.954177819275858, 6.844419753086419, 11.485609567901234, 6.648146986201889, 7.822833333333333, 8.945802469135803, 10.007711226851852), (10.159472475696308, 9.080885769281826, 9.761970593278463, 11.666796665324746, 11.121500040345357, 6.133306660570035, 6.926426880766024, 6.814071787837221, 11.465945073159578, 6.626229860943005, 7.796946068875894, 8.924114985680937, 9.994376393175584), (10.136749746525913, 9.03865007301208, 9.745970764746229, 11.64203666800859, 11.107775558783183, 6.121258497180309, 6.89848458999512, 6.783998171010516, 11.445982910379517, 6.604248183114124, 7.770459832240534, 8.902127162900394, 9.98048857596022), (10.113199677938807, 8.996116487455197, 9.729738425925925, 11.61679438405797, 11.09351851851852, 6.108818930041152, 6.870361552028219, 6.75420987654321, 11.425742283950619, 6.582202469135802, 7.743417862838915, 8.879850552306692, 9.96607349537037), (10.088868074193357, 8.9533057214921, 9.713277692043896, 11.59109074745035, 11.07875312676511, 6.096017222984301, 6.842068371930391, 6.724717878372199, 11.40524239826246, 6.560093235428601, 7.715863400082698, 8.857296705412365, 9.951156871570646), (10.063800739547922, 8.910238484003717, 9.696592678326475, 11.564946692163177, 11.063503590736707, 6.082882639841488, 6.813615654766708, 6.695533150434385, 11.384502457704619, 6.537920998413083, 7.687839683383544, 8.834477173729935, 9.935764424725651), (10.03804347826087, 8.866935483870968, 9.6796875, 11.538383152173914, 11.04779411764706, 6.069444444444445, 6.785014005602241, 6.666666666666666, 11.363541666666668, 6.515686274509804, 7.65938995215311, 8.81140350877193, 9.919921875), (10.011642094590563, 8.823417429974777, 9.662566272290809, 11.511421061460013, 11.031648914709915, 6.055731900624904, 6.756274029502062, 6.638129401005944, 11.342379229538182, 6.4933895801393255, 7.63055744580306, 8.788087262050874, 9.903654942558298), (9.984642392795372, 8.779705031196071, 9.64523311042524, 11.484081353998926, 11.015092189139029, 6.041774272214601, 6.727406331531242, 6.609932327389118, 11.321034350708734, 6.471031431722209, 7.601385403745053, 8.764539985079297, 9.886989347565157), (9.957090177133654, 8.735818996415771, 9.62769212962963, 11.456384963768118, 10.998148148148148, 6.027600823045267, 6.69842151675485, 6.582086419753087, 11.299526234567901, 6.448612345679011, 7.57191706539075, 8.74077322936972, 9.869950810185184), (9.92903125186378, 8.691780034514801, 9.609947445130317, 11.428352824745035, 10.98084099895102, 6.0132408169486355, 6.669330190237961, 6.554602652034752, 11.277874085505259, 6.426132838430297, 7.54219567015181, 8.716798546434674, 9.85256505058299), (9.90051142124411, 8.647608854374088, 9.592003172153635, 11.400005870907139, 10.963194948761398, 5.9987235177564395, 6.640142957045644, 6.527491998171011, 11.25609710791038, 6.403593426396621, 7.512264457439896, 8.69262748778668, 9.834857788923182), (9.871576489533012, 8.603326164874554, 9.573863425925927, 11.371365036231884, 10.945234204793028, 5.984078189300411, 6.610870422242971, 6.500765432098766, 11.234214506172838, 6.3809946259985475, 7.482166666666667, 8.668271604938273, 9.816854745370371), (9.842272260988848, 8.558952674897121, 9.555532321673525, 11.342451254696725, 10.926982974259664, 5.969334095412284, 6.581523190895013, 6.474433927754916, 11.212245484682214, 6.358336953656634, 7.451945537243782, 8.64374244940197, 9.798581640089164), (9.812644539869984, 8.514509093322713, 9.53701397462277, 11.31328546027912, 10.908465464375052, 5.954520499923793, 6.552111868066842, 6.44850845907636, 11.190209247828074, 6.335620925791441, 7.421644308582906, 8.619051572690298, 9.78006419324417), (9.782739130434782, 8.470016129032258, 9.5183125, 11.283888586956522, 10.889705882352942, 5.939666666666667, 6.52264705882353, 6.423, 11.168125, 6.312847058823529, 7.391306220095694, 8.59421052631579, 9.761328125), (9.752601836941611, 8.425494490906676, 9.49943201303155, 11.254281568706388, 10.870728435407084, 5.924801859472641, 6.493139368230145, 6.3979195244627345, 11.146011945587563, 6.290015869173458, 7.36097451119381, 8.569230861790967, 9.742399155521262), (9.722278463648834, 8.380964887826895, 9.480376628943759, 11.224485339506174, 10.85155733075123, 5.909955342173449, 6.463599401351762, 6.3732780064014625, 11.123889288980338, 6.267127873261788, 7.330692421288912, 8.544124130628353, 9.723303004972564), (9.691814814814816, 8.336448028673836, 9.461150462962962, 11.194520833333334, 10.832216775599129, 5.895156378600824, 6.43403776325345, 6.349086419753086, 11.1017762345679, 6.244183587509078, 7.300503189792663, 8.518901884340481, 9.704065393518519), (9.661256694697919, 8.291964622328422, 9.4417576303155, 11.164408984165325, 10.812730977164529, 5.880434232586496, 6.40446505900028, 6.325355738454504, 11.079691986739826, 6.221183528335889, 7.270450056116723, 8.493575674439873, 9.68471204132373), (9.63064990755651, 8.247535377671579, 9.422202246227709, 11.134170725979603, 10.79312414266118, 5.865818167962201, 6.374891893657326, 6.302096936442616, 11.057655749885688, 6.19812821216278, 7.24057625967275, 8.468157052439054, 9.665268668552812), (9.600040257648953, 8.203181003584229, 9.402488425925926, 11.103826992753623, 10.773420479302832, 5.851337448559671, 6.345328872289658, 6.279320987654321, 11.035686728395062, 6.175018155410313, 7.210925039872408, 8.442657569850553, 9.64576099537037), (9.569473549233614, 8.158922208947299, 9.382620284636488, 11.073398718464842, 10.753644194303236, 5.837021338210638, 6.315786599962345, 6.25703886602652, 11.01380412665752, 6.151853874499045, 7.181539636127355, 8.417088778186894, 9.626214741941014), (9.538995586568856, 8.11477970264171, 9.362601937585735, 11.042906837090714, 10.733819494876139, 5.822899100746838, 6.286275681740461, 6.235261545496114, 10.992027149062643, 6.128635885849539, 7.152463287849252, 8.391462228960604, 9.606655628429355), (9.508652173913044, 8.070774193548388, 9.3424375, 11.012372282608696, 10.713970588235293, 5.809, 6.256806722689075, 6.214, 10.970375, 6.105364705882353, 7.1237392344497605, 8.365789473684211, 9.587109375), (9.478489115524543, 8.026926390548255, 9.322131087105625, 10.98181598899624, 10.69412168159445, 5.795353299801859, 6.227390327873262, 6.193265203475081, 10.948866883859168, 6.082040851018047, 7.09541071534054, 8.340082063870238, 9.567601701817559), (9.448552215661715, 7.983257002522237, 9.301686814128946, 10.951258890230811, 10.674296982167354, 5.7819882639841484, 6.198037102358089, 6.173068129858253, 10.92752200502972, 6.058664837677183, 7.06752096993325, 8.314351551031214, 9.54815832904664), (9.41888727858293, 7.9397867383512555, 9.281108796296298, 10.920721920289855, 10.654520697167756, 5.768934156378601, 6.168757651208631, 6.153419753086419, 10.906359567901236, 6.035237182280319, 7.040113237639553, 8.288609486679663, 9.528804976851852), (9.38954010854655, 7.896536306916234, 9.26040114883402, 10.890226013150832, 10.634817033809409, 5.756220240816949, 6.139562579489958, 6.134331047096479, 10.885398776863282, 6.011758401248016, 7.013230757871109, 8.26286742232811, 9.509567365397805), (9.360504223703044, 7.853598618785952, 9.239617828252069, 10.85983388249204, 10.615175680173705, 5.7438697692145135, 6.1105259636567695, 6.115852568780606, 10.86471281125862, 5.988304736612729, 6.9869239061528665, 8.237192936504428, 9.490443900843221), (9.331480897900065, 7.811397183525536, 9.219045675021619, 10.829789421277336, 10.595393354566326, 5.731854608529901, 6.082018208410579, 6.09821125950512, 10.84461903571306, 5.965315167912783, 6.961244337113197, 8.211912172112974, 9.471275414160035), (9.302384903003995, 7.769947198683046, 9.198696932707318, 10.800084505181779, 10.5754076778886, 5.7201435124987645, 6.054059650191562, 6.081402654278709, 10.82512497866879, 5.942825327988077, 6.936154511427094, 8.187037582558851, 9.452006631660376), (9.273179873237634, 7.729188281291702, 9.178532189983873, 10.770666150266404, 10.555188526383779, 5.708708877287098, 6.026604817527893, 6.065380312898993, 10.80618133922783, 5.920793358449547, 6.911605931271481, 8.162523197487346, 9.43260725975589), (9.243829442823772, 7.689060048384721, 9.158512035525986, 10.741481372592244, 10.53470577629511, 5.6975230990608905, 5.9996082389477525, 6.050097795163585, 10.787738816492203, 5.899177400908129, 6.887550098823283, 8.13832304654375, 9.413047004858225), (9.214297245985211, 7.649502116995324, 9.138597058008367, 10.712477188220333, 10.513929303865842, 5.686558573986138, 5.973024442979315, 6.0355086608700965, 10.769748109563935, 5.877935596974759, 6.863938516259424, 8.11439115937335, 9.393295573379024), (9.184546916944742, 7.610454104156729, 9.118747846105723, 10.683600613211706, 10.492828985339221, 5.675787698228833, 5.946807958150756, 6.021566469816145, 10.752159917545043, 5.857026088260372, 6.840722685756828, 8.090681565621434, 9.373322671729932), (9.154542089925162, 7.571855626902158, 9.098924988492762, 10.654798663627394, 10.471374696958497, 5.665182867954965, 5.920913312990253, 6.008224781799343, 10.734924939537558, 5.836407016375905, 6.817854109492416, 8.067148294933297, 9.353098006322597), (9.124246399149268, 7.533646302264829, 9.079089073844187, 10.626018355528434, 10.449536314966918, 5.6547164793305305, 5.89529503602598, 5.995437156617307, 10.717993874643499, 5.816036522932296, 6.795284289643116, 8.043745376954222, 9.33259128356866), (9.093623478839854, 7.495765747277961, 9.059200690834711, 10.597206704975855, 10.427283715607734, 5.644360928521519, 5.869907655786117, 5.983157154067649, 10.70131742196489, 5.795872749540477, 6.772964728385851, 8.0204268413295, 9.31177220987977), (9.062636963219719, 7.458153578974774, 9.039220428139036, 10.568310728030694, 10.40458677512419, 5.634088611693925, 5.844705700798839, 5.971338333947983, 10.684846280603754, 5.775873837811387, 6.750846927897544, 7.997146717704421, 9.290610491667572), (9.031250486511654, 7.420749414388487, 9.01910887443187, 10.539277440753986, 10.381415369759537, 5.623871925013739, 5.819643699592319, 5.959934256055926, 10.668531149662115, 5.755997929355961, 6.728882390355119, 7.973859035724275, 9.269075835343711), (8.999427682938459, 7.38349287055232, 8.998826618387923, 10.51005385920676, 10.357739375757022, 5.613683264646956, 5.794676180694739, 5.948898480189091, 10.652322728241993, 5.736203165785134, 6.707022617935501, 7.950517825034348, 9.247137947319828), (8.967132186722928, 7.346323564499494, 8.978334248681898, 10.480586999450054, 10.333528669359893, 5.603495026759568, 5.76975767263427, 5.938184566145092, 10.636171715445418, 5.7164476887098425, 6.685219112815613, 7.927077115279934, 9.224766534007578), (8.93432763208786, 7.309181113263224, 8.957592353988504, 10.450823877544899, 10.308753126811398, 5.593279607517565, 5.744842703939094, 5.927746073721545, 10.620028810374407, 5.696689639741024, 6.6634233771723785, 7.903490936106316, 9.201931301818599), (8.900977653256046, 7.272005133876735, 8.93656152298245, 10.420711509552332, 10.28338262435479, 5.583009403086944, 5.719885803137382, 5.917536562716062, 10.603844712130984, 5.6768871604896125, 6.641586913182724, 7.879713317158788, 9.178601957164537), (8.867045884450281, 7.234735243373241, 8.91520234433844, 10.390196911533382, 10.257387038233311, 5.572656809633695, 5.694841498757313, 5.90750959292626, 10.587570119817174, 5.656998392566545, 6.619661223023571, 7.855698288082636, 9.154748206457038), (8.832495959893366, 7.197311058785966, 8.893475406731179, 10.359227099549086, 10.230736244690213, 5.562194223323808, 5.669664319327063, 5.89761872414975, 10.571155732535, 5.636981477582757, 6.5975978088718445, 7.831399878523152, 9.130339756107748), (8.797291513808094, 7.159672197148127, 8.87134129883538, 10.327749089660475, 10.203400119968745, 5.55159404032328, 5.644308793374809, 5.88781751618415, 10.554552249386486, 5.616794557149185, 6.575348172904468, 7.806772118125624, 9.105346312528312), (8.76139618041726, 7.121758275492944, 8.848760609325746, 10.295709897928587, 10.175348540312154, 5.540828656798102, 5.618729449428725, 5.878059528827073, 10.537710369473654, 5.596395772876765, 6.552863817298364, 7.781769036535342, 9.079737582130376), (8.724773593943663, 7.083508910853635, 8.825693926876983, 10.263056540414452, 10.146551381963686, 5.529870468914266, 5.592880816016989, 5.868298321876132, 10.520580791898526, 5.575743266376432, 6.53009624423046, 7.756344663397592, 9.053483271325586), (8.687387388610095, 7.044863720263423, 8.802101840163804, 10.229736033179103, 10.116978521166592, 5.518691872837765, 5.566717421667779, 5.858487455128944, 10.503114215763128, 5.5547951792591235, 6.506996955877678, 7.730453028357666, 9.026553086525583), (8.649201198639354, 7.005762320755524, 8.777944937860909, 10.195695392283579, 10.08659983416412, 5.507265264734592, 5.540193794909268, 5.84858048838312, 10.48526134016948, 5.533509653135776, 6.483517454416942, 7.704048161060852, 8.99891673414202), (8.610178658254235, 6.966144329363159, 8.753183808643008, 10.160881633788906, 10.055385197199517, 5.495563040770739, 5.513264464269635, 5.838530981436277, 10.466972864219606, 5.511844829617322, 6.459609242025177, 7.677084091152441, 8.970543920586536), (8.570283401677534, 6.925949363119547, 8.72777904118481, 10.125241773756125, 10.023304486516034, 5.483557597112198, 5.485883958277055, 5.828292494086029, 10.448199487015533, 5.4897588503147015, 6.435223820879306, 7.649514848277719, 8.941404352270776), (8.529479063132047, 6.885117039057908, 8.701691224161017, 10.088722828246263, 9.990327578356919, 5.471221329924964, 5.458006805459704, 5.81781858612999, 10.428891907659281, 5.4672098568388465, 6.410312693156252, 7.621294462081978, 8.91146773560639), (8.487729276840568, 6.843586974211461, 8.67488094624634, 10.051271813320358, 9.956424348965415, 5.458526635375026, 5.429587534345759, 5.807062817365774, 10.409000825252871, 5.444155990800697, 6.38482736103294, 7.592376962210506, 8.880703777005019), (8.444997677025897, 6.801298785613425, 8.647308796115487, 10.012835745039444, 9.92156467458478, 5.445445909628379, 5.400580673463397, 5.795978747590996, 10.388476938898332, 5.420555393811186, 6.358719326686294, 7.562716378308592, 8.849082182878314), (8.40124789791083, 6.758192090297021, 8.61893536244316, 9.973361639464553, 9.885718431458253, 5.431951548851015, 5.370940751340795, 5.78451993660327, 10.36727094769768, 5.396366207481251, 6.331940092293238, 7.532266740021525, 8.816572659637913), (8.356443573718156, 6.714206505295466, 8.58972123390407, 9.93279651265672, 9.848855495829087, 5.418015949208927, 5.340622296506126, 5.772639944200211, 10.345333550752942, 5.371546573421828, 6.304441160030697, 7.500982076994594, 8.783144913695466), (8.310548338670674, 6.669281647641981, 8.559626999172925, 9.891087380676975, 9.810945743940529, 5.403611506868106, 5.3095798374875685, 5.760292330179432, 10.322615447166147, 5.3460546332438525, 6.276174032075593, 7.4688164188730894, 8.748768651462617), (8.263525826991184, 6.623357134369786, 8.528613246924428, 9.848181259586356, 9.771959052035829, 5.388710617994547, 5.277767902813299, 5.747430654338549, 10.29906733603931, 5.31984852855826, 6.247090210604851, 7.435723795302299, 8.713413579351014), (8.215339672902477, 6.576372582512099, 8.496640565833289, 9.804025165445895, 9.731865296358233, 5.3732856787542405, 5.245141021011493, 5.734008476475176, 10.274639916474454, 5.292886400975988, 6.217141197795395, 7.401658235927513, 8.6770494037723), (8.16595351062735, 6.528267609102142, 8.463669544574216, 9.758566114316626, 9.690634353150992, 5.35730908531318, 5.21165372061033, 5.719979356386927, 10.249283887573606, 5.2651263921079705, 6.186278495824149, 7.3665737703940195, 8.639645831138118), (8.1153309743886, 6.47898183117313, 8.42966077182191, 9.71175112225958, 9.648236098657351, 5.340753233837358, 5.177260530137981, 5.705296853871415, 10.22294994843879, 5.236526643565146, 6.154453606868036, 7.3304244283471105, 8.601172567860118), (8.063435698409021, 6.428454865758288, 8.394574836251083, 9.663527205335797, 9.604640409120561, 5.323590520492767, 5.1419159781226265, 5.689914528726257, 10.195588798172029, 5.207045296958447, 6.1216180331039824, 7.29316423943207, 8.561599320349941), (8.010231316911412, 6.37662632989083, 8.358372326536443, 9.613841379606303, 9.55981716078387, 5.3057933414453995, 5.105574593092441, 5.673785940749067, 10.167151135875338, 5.176640493898813, 6.08772327670891, 7.254747233294191, 8.520895795019237), (7.955681464118564, 6.323435840603979, 8.321013831352694, 9.562640661132138, 9.513736229890526, 5.287334092861249, 5.0681909035756005, 5.656864649737456, 10.137587660650752, 5.1452703759971765, 6.0527208398597425, 7.215127439578763, 8.479031698279647), (7.899749774253275, 6.268823014930954, 8.282459939374542, 9.50987206597433, 9.466367492683776, 5.268185170906305, 5.029719438100283, 5.639104215489043, 10.106849071600289, 5.112893084864478, 6.016562224733405, 7.174258887931072, 8.435976736542818), (7.842399881538343, 6.212727469904973, 8.242671239276701, 9.455482610193918, 9.417680825406869, 5.2483189717465635, 4.9901147251946645, 5.620458197801441, 10.07488606782597, 5.079466762111649, 5.979198933506821, 7.132095607996409, 8.391700616220398), (7.78359542019656, 6.155088822559256, 8.201608319733868, 9.399419309851933, 9.367646104303056, 5.2277078915480155, 4.949331293386919, 5.600880156472262, 10.041649348429823, 5.044949549349629, 5.940582468356916, 7.088591629420064, 8.346173043724027), (7.723300024450729, 6.095846689927024, 8.159231769420758, 9.34162918100941, 9.31623320561558, 5.206324326476654, 4.907323671205228, 5.580323651299123, 10.007089612513866, 5.009299588189353, 5.900664331460612, 7.043700981847325, 8.299363725465357), (7.6614773285236355, 6.034940689041495, 8.115502177012075, 9.282059239727378, 9.263412005587696, 5.184140672698471, 4.864046387177761, 5.558742242079636, 9.971157559180128, 4.972475020241754, 5.859396024994833, 6.997377694923482, 8.251242367856026), (7.598090966638081, 5.972310436935888, 8.070380131182526, 9.220656502066875, 9.209152380462648, 5.161129326379461, 4.8194539698327, 5.5360894886114185, 9.933803887530626, 4.934433987117773, 5.816729051136504, 6.949575798293822, 8.201778677307685), (7.533104573016862, 5.907895550643423, 8.023826220606818, 9.157367984088937, 9.153424206483685, 5.137262683685614, 4.773500947698219, 5.512318950692082, 9.894979296667389, 4.895134630428341, 5.772614912062549, 6.900249321603637, 8.150942360231976), (7.464680946405239, 5.840453120772258, 7.973591953902355, 9.089769581651243, 9.093681105870997, 5.11102447631711, 4.725106720927857, 5.485796952349372, 9.851662091599097, 4.8533659162911436, 5.7255957525389425, 6.847599564194339, 8.096485859415345), (7.382286766978402, 5.763065319599478, 7.906737818402988, 9.003977158788453, 9.015191309781628, 5.073689648007103, 4.668212763385716, 5.4472135327643825, 9.786427261222144, 4.802280994098745, 5.667416935618994, 6.781362523683108, 8.025427646920194), (7.284872094904309, 5.675096728540714, 7.821920957955888, 8.89857751040886, 8.916420131346795, 5.024341296047684, 4.602243748383784, 5.3955991895273465, 9.697425227228651, 4.741205651862893, 5.59725950860954, 6.700501948887847, 7.93642060889358), (7.17322205458596, 5.577120868080469, 7.720046971910309, 8.774572503756728, 8.798393124282113, 4.963577241570314, 4.527681446006876, 5.33160053310978, 9.585829766999018, 4.6706581931709374, 5.515741654599707, 6.605767468907571, 7.830374044819097), (7.048121770426357, 5.469711258703239, 7.602021459615496, 8.632964006076326, 8.662135842303204, 4.891995305706455, 4.445007626339809, 5.255864173983202, 9.452814657913637, 4.5911569216102315, 5.42348155667862, 6.497908712841293, 7.708197254180333), (6.9103563668284975, 5.353441420893524, 7.468750020420702, 8.474753884611934, 8.508673839125688, 4.810193309587572, 4.354704059467401, 5.169036722619125, 9.299553677352906, 4.503220140768125, 5.321097397935408, 6.3776753097880325, 7.570799536460879), (6.760710968195384, 5.228884875135821, 7.321138253675176, 8.300944006607818, 8.339032668465189, 4.718769074345129, 4.257252515474466, 5.071764789489069, 9.127220602697223, 4.407366154231968, 5.209207361459196, 6.245816888846803, 7.419090191144328), (6.599970698930017, 5.096615141914632, 7.160091758728169, 8.112536239308252, 8.154237884037324, 4.618320421110586, 4.153134764445822, 4.964694985064546, 8.93698921132698, 4.3041132655891134, 5.088429630339111, 6.10308307911662, 7.25397851771427), (6.428920683435397, 4.957205741714454, 6.9865161349289275, 7.910532449957501, 7.955315039557714, 4.509445171015408, 4.042832576466286, 4.848473919817077, 8.730033280622573, 4.193979778426912, 4.959382387664279, 5.950223509696501, 7.0763738156542955), (6.248346046114523, 4.811230195019787, 6.801316981626704, 7.695934505799843, 7.74328968874198, 4.392741145191058, 3.9268277216206746, 4.723748204218176, 8.5075265879644, 4.077483996332714, 4.822683816523827, 5.7879878096854585, 6.887185384447996), (6.059031911370395, 4.659262022315128, 6.605399898170748, 7.469744274079546, 7.519187385305742, 4.268806164768999, 3.805601969993804, 4.5911644487393595, 8.270642910732855, 3.955144222893872, 4.678952100006881, 5.617125608182511, 6.6873225235789615), (5.861763403606015, 4.501874744084979, 6.399670483910309, 7.232963622040883, 7.28403368296462, 4.138238050880695, 3.6796370916704917, 4.451369263852145, 8.020556026308338, 3.8274787616977366, 4.528805421202568, 5.438386534286672, 6.477694532530785), (5.657325647224384, 4.339641880813837, 6.185034338194635, 6.98659441692812, 7.038854135434233, 4.001634624657607, 3.549414856735553, 4.305009260028047, 7.7584397120712385, 3.6950059163316578, 4.372861963200016, 5.252520217096959, 6.259210710787055), (5.4465037666285, 4.173136952986201, 5.962397060372978, 6.731638525985535, 6.784674296430206, 3.8595937072311983, 3.4154170352738054, 4.152731047738583, 7.485467745401956, 3.5582439903829886, 4.211739909088348, 5.060276285712386, 6.032780357831365), (5.230082886221365, 4.002933481086569, 5.7326642497945866, 6.4690978164573965, 6.5225197196681535, 3.7127131197329337, 3.2781253973700655, 3.9951812374552707, 7.202813903680886, 3.41771128743908, 4.046057441956694, 4.862404369231971, 5.799312773147303), (5.00884813040598, 3.8296049855994423, 5.4967415058087115, 6.1999741555879755, 6.253415958863702, 3.5615906832942748, 3.1380217131091497, 3.8330064396496235, 6.911651964288422, 3.2739261110872815, 3.8764327448941778, 4.659654096754725, 5.5597172562184625), (4.783584623585344, 3.653724987009318, 5.2555344277646014, 5.9252694106215404, 5.978388567732466, 3.406824219046685, 2.9955877525758754, 3.6668532647931604, 6.613155704604964, 3.1274067649149466, 3.7034840009899277, 4.452775097379668, 5.314903106528433), (4.555077490162455, 3.4758670058006946, 5.009948615011508, 5.645985448802367, 5.698463099990069, 3.2490115481216284, 2.851305285855058, 3.497368323357396, 6.308498902010905, 2.9786715525094243, 3.5278293933330693, 4.242517000205814, 5.0657796235608075), (4.324111854540319, 3.296604562458073, 4.760889666898678, 5.363124137374725, 5.41466510935213, 3.0887504916505666, 2.705656083031515, 3.325198225813849, 5.998855333886642, 2.828238777458067, 3.35008710501273, 4.029629434332179, 4.813256106799174), (4.0914728411219325, 3.1165111774659513, 4.5092631827753635, 5.077687343582883, 5.128020149534273, 2.9266388707649633, 2.5591219141900625, 3.1509895826340326, 5.68539877761257, 2.6766267433482245, 3.1708753191180357, 3.8148620288577786, 4.5582418557271245), (3.8579455743102966, 2.9361603713088282, 4.255974761990814, 4.790676934671116, 4.8395537742521135, 2.7632745065962827, 2.4121845494155174, 2.9753890042894655, 5.3693030105690855, 2.52435375376725, 2.9908122187381125, 3.598964412881627, 4.301646169828252), (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))
passenger_arriving_acc = ((14, 8, 6, 8, 8, 0, 0, 1, 4, 0, 0, 2, 0, 7, 3, 3, 4, 3, 2, 0, 1, 0, 2, 2, 0, 0), (19, 13, 12, 13, 11, 2, 5, 3, 7, 5, 1, 3, 0, 14, 9, 8, 7, 11, 7, 1, 3, 2, 3, 2, 0, 0), (24, 22, 16, 15, 18, 6, 7, 4, 9, 5, 1, 3, 0, 24, 12, 13, 8, 17, 10, 4, 5, 5, 4, 2, 0, 0), (33, 25, 21, 17, 25, 7, 13, 6, 11, 9, 1, 4, 0, 36, 18, 15, 16, 25, 20, 5, 7, 5, 6, 4, 0, 0), (41, 32, 28, 27, 30, 7, 15, 7, 14, 10, 1, 4, 0, 44, 23, 19, 17, 28, 22, 8, 7, 5, 7, 5, 0, 0), (46, 36, 33, 30, 34, 10, 18, 12, 16, 10, 4, 4, 0, 50, 28, 26, 20, 35, 23, 10, 10, 8, 8, 8, 2, 0), (53, 40, 42, 39, 37, 14, 24, 13, 18, 13, 5, 4, 0, 56, 34, 32, 27, 37, 25, 14, 11, 8, 11, 9, 3, 0), (60, 45, 51, 42, 44, 18, 25, 18, 19, 14, 7, 5, 0, 60, 37, 40, 29, 45, 26, 19, 13, 10, 12, 9, 3, 0), (74, 51, 55, 51, 53, 21, 27, 18, 20, 16, 7, 5, 0, 65, 43, 45, 34, 52, 29, 20, 18, 14, 13, 10, 3, 0), (83, 58, 59, 61, 59, 24, 30, 18, 21, 18, 7, 5, 0, 69, 48, 51, 36, 59, 34, 21, 18, 18, 14, 12, 4, 0), (91, 63, 63, 70, 68, 29, 35, 24, 24, 18, 7, 6, 0, 75, 57, 58, 41, 65, 40, 22, 22, 22, 17, 13, 4, 0), (102, 69, 72, 80, 73, 32, 41, 25, 25, 19, 7, 6, 0, 86, 63, 61, 43, 76, 45, 24, 23, 26, 20, 14, 4, 0), (111, 73, 79, 85, 82, 36, 44, 27, 28, 20, 9, 7, 0, 91, 73, 70, 48, 88, 49, 29, 29, 30, 26, 18, 4, 0), (121, 80, 88, 93, 90, 38, 47, 30, 31, 21, 11, 8, 0, 98, 83, 74, 52, 93, 55, 31, 31, 35, 28, 20, 5, 0), (130, 93, 98, 105, 96, 39, 52, 37, 36, 26, 12, 8, 0, 105, 89, 78, 63, 102, 62, 36, 31, 38, 31, 22, 5, 0), (144, 103, 112, 112, 106, 45, 54, 42, 41, 26, 13, 9, 0, 109, 95, 85, 70, 107, 65, 44, 36, 44, 37, 23, 5, 0), (154, 112, 123, 120, 111, 48, 59, 47, 44, 27, 13, 11, 0, 117, 104, 93, 77, 119, 68, 46, 38, 51, 40, 24, 5, 0), (167, 120, 136, 128, 118, 51, 62, 49, 49, 28, 13, 11, 0, 120, 112, 98, 82, 124, 70, 49, 42, 56, 43, 25, 7, 0), (175, 130, 143, 135, 121, 56, 68, 57, 53, 31, 16, 12, 0, 131, 120, 104, 95, 137, 73, 57, 42, 62, 44, 26, 8, 0), (180, 143, 155, 146, 127, 61, 72, 59, 54, 33, 19, 13, 0, 139, 125, 112, 103, 144, 82, 61, 44, 62, 48, 29, 8, 0), (195, 156, 160, 150, 134, 63, 78, 63, 58, 37, 21, 16, 0, 157, 132, 120, 107, 150, 85, 64, 47, 66, 50, 30, 9, 0), (204, 171, 165, 159, 143, 66, 85, 65, 64, 37, 22, 18, 0, 167, 141, 130, 118, 158, 90, 66, 52, 69, 51, 31, 9, 0), (214, 180, 177, 164, 154, 69, 89, 70, 70, 38, 22, 19, 0, 176, 150, 133, 122, 173, 98, 71, 54, 72, 53, 34, 12, 0), (222, 187, 180, 170, 156, 72, 91, 74, 75, 40, 24, 21, 0, 182, 155, 138, 123, 185, 104, 73, 57, 75, 57, 35, 16, 0), (228, 194, 189, 179, 164, 78, 94, 80, 81, 42, 24, 22, 0, 194, 166, 146, 132, 194, 114, 75, 59, 81, 57, 37, 20, 0), (243, 207, 197, 188, 173, 81, 99, 85, 86, 42, 26, 23, 0, 202, 175, 157, 141, 202, 121, 77, 60, 83, 62, 39, 20, 0), (253, 213, 206, 192, 180, 84, 103, 91, 89, 43, 26, 24, 0, 210, 184, 162, 148, 211, 126, 84, 63, 84, 65, 39, 21, 0), (261, 223, 213, 198, 189, 91, 105, 93, 96, 44, 26, 26, 0, 217, 192, 168, 154, 215, 131, 88, 65, 88, 70, 41, 22, 0), (272, 232, 219, 208, 195, 93, 108, 98, 103, 47, 27, 27, 0, 223, 200, 172, 160, 219, 134, 90, 67, 90, 71, 41, 24, 0), (283, 241, 226, 220, 203, 97, 108, 105, 104, 48, 27, 27, 0, 231, 207, 181, 169, 223, 137, 97, 70, 94, 71, 42, 26, 0), (292, 251, 238, 233, 211, 103, 110, 107, 106, 50, 28, 28, 0, 241, 217, 185, 175, 230, 144, 103, 72, 98, 73, 43, 28, 0), (303, 260, 248, 237, 216, 103, 116, 113, 107, 51, 29, 29, 0, 253, 226, 191, 180, 233, 155, 107, 74, 105, 79, 47, 28, 0), (321, 269, 257, 243, 225, 103, 117, 114, 114, 54, 31, 29, 0, 262, 231, 197, 183, 241, 158, 108, 76, 107, 82, 50, 30, 0), (331, 279, 267, 249, 227, 115, 124, 114, 121, 56, 34, 29, 0, 267, 243, 205, 184, 255, 164, 112, 78, 113, 85, 51, 30, 0), (346, 288, 278, 260, 237, 119, 129, 115, 130, 59, 34, 30, 0, 276, 250, 212, 189, 261, 171, 114, 79, 116, 89, 51, 32, 0), (360, 301, 287, 278, 244, 125, 131, 119, 134, 60, 37, 31, 0, 285, 260, 219, 197, 265, 175, 119, 83, 118, 90, 54, 35, 0), (368, 306, 293, 282, 255, 128, 137, 124, 140, 62, 37, 33, 0, 300, 266, 225, 203, 270, 181, 122, 87, 121, 93, 55, 37, 0), (374, 314, 308, 286, 261, 131, 140, 128, 141, 66, 37, 33, 0, 315, 274, 236, 208, 282, 182, 128, 88, 126, 99, 56, 37, 0), (389, 331, 317, 293, 269, 135, 145, 130, 143, 66, 37, 34, 0, 325, 283, 239, 214, 290, 187, 130, 92, 131, 103, 57, 38, 0), (396, 342, 323, 304, 281, 138, 149, 134, 145, 67, 40, 35, 0, 334, 290, 249, 216, 298, 191, 137, 94, 138, 103, 58, 40, 0), (405, 347, 332, 316, 286, 139, 152, 138, 147, 68, 40, 36, 0, 345, 297, 254, 222, 313, 195, 141, 95, 142, 106, 59, 41, 0), (413, 352, 339, 326, 297, 144, 159, 141, 153, 69, 42, 37, 0, 363, 306, 260, 230, 321, 200, 147, 97, 145, 108, 60, 43, 0), (423, 364, 346, 336, 306, 146, 162, 145, 156, 70, 42, 37, 0, 370, 317, 263, 236, 329, 204, 151, 102, 151, 111, 60, 43, 0), (434, 374, 358, 343, 316, 154, 166, 146, 158, 73, 43, 38, 0, 386, 324, 277, 241, 341, 213, 152, 103, 156, 113, 63, 45, 0), (442, 388, 370, 351, 322, 158, 169, 148, 162, 74, 44, 38, 0, 400, 334, 288, 246, 350, 217, 154, 105, 161, 117, 65, 45, 0), (450, 402, 379, 354, 328, 161, 173, 154, 164, 74, 45, 40, 0, 407, 345, 295, 251, 365, 218, 157, 109, 163, 120, 65, 45, 0), (459, 413, 387, 363, 333, 162, 175, 157, 168, 79, 46, 40, 0, 418, 357, 305, 257, 373, 224, 161, 112, 174, 127, 67, 47, 0), (470, 423, 400, 375, 340, 167, 183, 161, 170, 81, 46, 40, 0, 429, 363, 315, 266, 376, 230, 166, 114, 177, 132, 72, 47, 0), (478, 430, 406, 382, 346, 171, 189, 162, 173, 83, 47, 41, 0, 441, 374, 322, 269, 390, 237, 166, 115, 180, 136, 75, 48, 0), (486, 438, 415, 392, 353, 174, 190, 165, 176, 87, 48, 41, 0, 453, 385, 329, 271, 396, 242, 167, 116, 182, 137, 78, 49, 0), (492, 449, 423, 397, 366, 176, 192, 169, 180, 88, 50, 42, 0, 463, 397, 335, 275, 400, 247, 171, 118, 184, 141, 80, 49, 0), (502, 460, 431, 411, 373, 180, 195, 175, 185, 88, 51, 42, 0, 469, 411, 337, 278, 406, 252, 175, 121, 188, 144, 81, 51, 0), (515, 466, 443, 421, 378, 182, 199, 177, 187, 90, 52, 42, 0, 481, 419, 348, 283, 417, 253, 182, 124, 195, 145, 82, 52, 0), (527, 480, 453, 427, 388, 185, 203, 183, 193, 93, 53, 42, 0, 491, 432, 353, 286, 428, 259, 186, 125, 200, 148, 84, 52, 0), (540, 490, 459, 438, 391, 190, 208, 190, 202, 93, 56, 42, 0, 497, 440, 360, 290, 432, 262, 190, 127, 204, 151, 86, 52, 0), (551, 498, 469, 451, 399, 196, 211, 194, 204, 95, 57, 44, 0, 502, 447, 366, 294, 442, 270, 194, 128, 208, 153, 86, 53, 0), (561, 511, 478, 457, 404, 200, 212, 198, 208, 100, 57, 46, 0, 510, 453, 372, 303, 449, 273, 200, 133, 212, 159, 86, 53, 0), (573, 516, 482, 467, 414, 203, 216, 203, 212, 101, 58, 46, 0, 522, 457, 377, 313, 456, 279, 201, 134, 217, 163, 87, 53, 0), (585, 530, 489, 479, 423, 203, 221, 206, 216, 102, 60, 46, 0, 532, 466, 381, 315, 462, 284, 207, 135, 219, 164, 88, 56, 0), (592, 539, 493, 486, 429, 204, 221, 208, 219, 104, 60, 46, 0, 542, 477, 390, 320, 469, 288, 209, 138, 223, 168, 90, 56, 0), (604, 545, 501, 498, 434, 208, 224, 213, 222, 106, 61, 46, 0, 560, 484, 399, 328, 474, 291, 218, 139, 229, 173, 94, 57, 0), (617, 555, 510, 509, 443, 212, 227, 216, 227, 107, 63, 46, 0, 570, 493, 407, 330, 482, 291, 226, 140, 232, 176, 95, 59, 0), (627, 567, 517, 519, 447, 217, 231, 219, 230, 110, 64, 46, 0, 576, 499, 413, 335, 493, 295, 229, 146, 235, 177, 97, 59, 0), (639, 579, 530, 524, 454, 228, 234, 223, 236, 112, 65, 47, 0, 593, 508, 424, 340, 499, 297, 233, 150, 237, 179, 97, 59, 0), (649, 590, 541, 530, 464, 230, 236, 225, 239, 116, 70, 47, 0, 602, 515, 430, 347, 503, 305, 243, 154, 241, 181, 97, 60, 0), (658, 596, 548, 544, 473, 236, 243, 230, 243, 117, 72, 47, 0, 614, 522, 434, 354, 515, 306, 245, 160, 246, 185, 97, 60, 0), (669, 603, 558, 557, 481, 238, 250, 232, 248, 117, 73, 47, 0, 628, 534, 441, 357, 524, 311, 250, 162, 247, 187, 98, 61, 0), (681, 610, 567, 566, 494, 241, 256, 235, 254, 118, 73, 47, 0, 642, 541, 448, 363, 530, 313, 255, 163, 249, 193, 100, 62, 0), (686, 619, 580, 579, 499, 245, 258, 239, 256, 119, 75, 48, 0, 650, 559, 459, 367, 543, 318, 261, 165, 254, 195, 100, 64, 0), (699, 622, 587, 589, 505, 252, 262, 240, 261, 121, 77, 48, 0, 656, 571, 462, 371, 546, 320, 263, 166, 257, 197, 102, 64, 0), (703, 631, 595, 596, 512, 256, 263, 244, 263, 122, 79, 48, 0, 664, 577, 470, 380, 555, 324, 269, 168, 259, 200, 104, 64, 0), (717, 640, 603, 605, 517, 264, 265, 245, 264, 123, 80, 50, 0, 681, 586, 485, 385, 563, 326, 273, 171, 261, 202, 105, 67, 0), (730, 646, 610, 617, 525, 268, 269, 248, 265, 124, 81, 51, 0, 695, 592, 491, 391, 575, 330, 277, 174, 265, 206, 107, 68, 0), (739, 653, 616, 629, 531, 269, 272, 250, 271, 126, 82, 52, 0, 704, 599, 499, 394, 585, 339, 283, 178, 267, 209, 109, 69, 0), (750, 664, 625, 637, 537, 276, 276, 251, 274, 129, 83, 53, 0, 709, 609, 503, 398, 592, 342, 287, 180, 273, 209, 109, 69, 0), (764, 672, 635, 645, 546, 279, 279, 254, 279, 132, 85, 55, 0, 721, 621, 508, 404, 596, 346, 290, 183, 273, 210, 111, 70, 0), (773, 685, 644, 654, 553, 282, 282, 257, 284, 135, 86, 56, 0, 734, 629, 512, 410, 599, 353, 291, 184, 278, 211, 113, 70, 0), (786, 693, 652, 663, 560, 287, 287, 259, 287, 135, 86, 56, 0, 747, 634, 517, 415, 612, 355, 298, 184, 285, 211, 114, 71, 0), (795, 700, 656, 677, 569, 289, 291, 263, 292, 137, 87, 57, 0, 756, 647, 525, 417, 614, 359, 301, 185, 288, 217, 114, 71, 0), (801, 712, 667, 690, 577, 292, 293, 265, 296, 137, 89, 57, 0, 766, 655, 530, 420, 622, 365, 304, 195, 289, 220, 118, 71, 0), (815, 727, 668, 700, 583, 294, 295, 268, 300, 137, 91, 58, 0, 772, 666, 541, 423, 631, 369, 307, 197, 293, 223, 119, 73, 0), (830, 732, 671, 709, 591, 295, 303, 270, 304, 138, 92, 60, 0, 786, 675, 549, 427, 641, 370, 310, 200, 302, 226, 122, 74, 0), (842, 742, 679, 725, 598, 300, 309, 271, 307, 139, 94, 61, 0, 797, 687, 554, 432, 651, 373, 316, 202, 305, 229, 124, 74, 0), (851, 755, 692, 728, 603, 303, 312, 275, 310, 140, 96, 62, 0, 808, 698, 567, 436, 655, 377, 320, 203, 312, 231, 127, 75, 0), (860, 759, 699, 733, 609, 305, 317, 280, 315, 141, 97, 62, 0, 819, 707, 577, 439, 658, 382, 320, 205, 315, 232, 128, 76, 0), (869, 771, 711, 744, 613, 308, 322, 284, 317, 142, 99, 62, 0, 829, 714, 583, 444, 667, 384, 324, 211, 319, 232, 128, 76, 0), (881, 777, 719, 750, 627, 312, 325, 287, 319, 143, 99, 63, 0, 836, 724, 587, 448, 673, 387, 328, 214, 323, 237, 129, 77, 0), (894, 787, 727, 753, 630, 317, 328, 291, 322, 144, 100, 63, 0, 847, 733, 596, 453, 682, 393, 331, 218, 328, 238, 131, 78, 0), (901, 793, 735, 762, 635, 319, 331, 293, 325, 144, 100, 63, 0, 855, 742, 598, 458, 686, 395, 332, 218, 331, 241, 133, 78, 0), (911, 803, 743, 768, 644, 323, 333, 297, 327, 145, 101, 65, 0, 862, 753, 606, 465, 699, 396, 337, 220, 332, 246, 134, 79, 0), (912, 809, 750, 776, 652, 332, 335, 298, 332, 147, 101, 66, 0, 874, 766, 616, 469, 711, 399, 339, 221, 333, 248, 137, 79, 0), (922, 821, 753, 787, 659, 336, 337, 301, 334, 152, 103, 68, 0, 886, 772, 623, 477, 716, 401, 346, 223, 336, 251, 142, 81, 0), (932, 831, 760, 792, 666, 340, 343, 304, 340, 153, 103, 68, 0, 902, 778, 631, 486, 724, 403, 346, 227, 340, 255, 143, 81, 0), (942, 839, 769, 798, 672, 340, 348, 307, 347, 153, 105, 68, 0, 908, 789, 636, 490, 733, 411, 346, 233, 340, 260, 146, 81, 0), (947, 849, 776, 809, 676, 343, 350, 309, 352, 153, 105, 69, 0, 918, 796, 644, 495, 740, 412, 347, 235, 342, 262, 146, 81, 0), (954, 852, 789, 817, 684, 347, 352, 314, 358, 156, 106, 69, 0, 925, 799, 650, 498, 744, 414, 351, 240, 347, 265, 150, 82, 0), (960, 860, 794, 822, 694, 350, 353, 316, 359, 158, 107, 71, 0, 933, 807, 657, 500, 756, 415, 355, 240, 350, 267, 152, 82, 0), (975, 871, 806, 829, 700, 352, 356, 321, 364, 159, 108, 71, 0, 945, 815, 663, 504, 758, 418, 355, 241, 359, 273, 155, 82, 0), (986, 879, 808, 834, 705, 356, 360, 323, 371, 164, 112, 72, 0, 951, 821, 672, 514, 766, 423, 363, 243, 361, 275, 155, 82, 0), (995, 887, 814, 842, 715, 357, 364, 326, 377, 169, 112, 72, 0, 971, 829, 679, 518, 776, 426, 368, 243, 364, 284, 156, 83, 0), (1015, 893, 824, 846, 723, 362, 366, 330, 378, 172, 113, 72, 0, 982, 831, 684, 522, 786, 430, 373, 247, 366, 285, 159, 83, 0), (1024, 898, 834, 854, 730, 369, 368, 333, 382, 173, 114, 73, 0, 989, 839, 690, 528, 793, 432, 377, 249, 369, 287, 164, 84, 0), (1036, 906, 843, 861, 734, 371, 368, 336, 384, 177, 115, 74, 0, 1000, 850, 698, 533, 797, 438, 386, 249, 373, 291, 164, 84, 0), (1049, 910, 852, 862, 743, 373, 371, 341, 385, 178, 115, 74, 0, 1006, 856, 704, 540, 801, 442, 389, 253, 374, 295, 165, 84, 0), (1060, 917, 860, 866, 750, 379, 373, 344, 390, 178, 116, 74, 0, 1010, 861, 708, 541, 810, 447, 389, 258, 376, 299, 168, 86, 0), (1074, 927, 872, 870, 758, 382, 378, 346, 393, 178, 119, 75, 0, 1019, 863, 710, 547, 817, 453, 390, 262, 382, 301, 170, 87, 0), (1083, 934, 879, 881, 773, 385, 381, 353, 399, 179, 120, 76, 0, 1032, 873, 720, 554, 823, 456, 393, 267, 389, 301, 171, 89, 0), (1092, 942, 891, 885, 781, 389, 384, 354, 401, 179, 120, 78, 0, 1041, 885, 724, 556, 835, 459, 399, 270, 394, 304, 174, 89, 0), (1106, 947, 901, 891, 788, 391, 386, 355, 406, 180, 123, 78, 0, 1051, 888, 734, 563, 839, 462, 400, 278, 398, 307, 175, 90, 0), (1115, 956, 904, 898, 795, 393, 388, 359, 411, 182, 126, 79, 0, 1065, 894, 736, 568, 843, 463, 404, 279, 401, 309, 175, 90, 0), (1125, 964, 915, 907, 805, 397, 389, 360, 415, 184, 130, 79, 0, 1074, 902, 743, 576, 849, 466, 407, 285, 404, 314, 178, 90, 0), (1135, 973, 922, 912, 812, 400, 389, 364, 419, 184, 130, 79, 0, 1089, 909, 749, 581, 852, 472, 410, 288, 410, 319, 181, 90, 0), (1146, 981, 931, 923, 818, 403, 392, 367, 424, 185, 131, 79, 0, 1098, 917, 756, 585, 856, 476, 411, 289, 414, 320, 181, 92, 0), (1151, 989, 939, 933, 825, 408, 396, 367, 429, 186, 131, 80, 0, 1109, 922, 759, 586, 867, 480, 413, 291, 417, 323, 182, 93, 0), (1157, 997, 948, 939, 835, 413, 397, 368, 436, 187, 133, 81, 0, 1117, 932, 762, 588, 878, 483, 414, 293, 419, 325, 186, 94, 0), (1166, 1005, 954, 945, 842, 416, 401, 370, 439, 189, 134, 81, 0, 1127, 934, 771, 594, 887, 484, 418, 294, 421, 328, 188, 95, 0), (1176, 1012, 959, 953, 853, 418, 405, 374, 444, 190, 135, 81, 0, 1137, 945, 775, 600, 896, 492, 424, 296, 424, 331, 192, 95, 0), (1190, 1024, 967, 959, 861, 421, 410, 378, 445, 190, 136, 81, 0, 1143, 951, 780, 602, 899, 498, 428, 298, 428, 333, 194, 96, 0), (1194, 1035, 972, 971, 864, 424, 415, 383, 448, 192, 136, 81, 0, 1149, 960, 784, 609, 904, 499, 432, 301, 433, 335, 194, 96, 0), (1202, 1046, 976, 977, 867, 426, 417, 386, 450, 194, 136, 82, 0, 1156, 966, 797, 619, 912, 501, 434, 304, 433, 337, 196, 97, 0), (1208, 1052, 986, 983, 875, 429, 420, 389, 453, 196, 140, 82, 0, 1163, 971, 801, 623, 918, 503, 435, 306, 438, 341, 201, 97, 0), (1216, 1059, 993, 988, 885, 431, 426, 397, 459, 200, 141, 82, 0, 1171, 975, 809, 630, 929, 505, 438, 309, 444, 341, 204, 97, 0), (1229, 1065, 1002, 996, 887, 433, 428, 398, 465, 201, 142, 82, 0, 1180, 984, 812, 634, 939, 508, 441, 313, 446, 342, 208, 97, 0), (1238, 1072, 1011, 1005, 895, 434, 435, 403, 470, 203, 142, 82, 0, 1187, 988, 817, 639, 942, 514, 442, 315, 454, 347, 210, 97, 0), (1245, 1079, 1016, 1015, 898, 437, 438, 406, 473, 205, 142, 82, 0, 1196, 991, 820, 645, 947, 517, 445, 317, 460, 350, 212, 100, 0), (1259, 1084, 1022, 1019, 911, 442, 439, 410, 476, 206, 142, 84, 0, 1206, 997, 825, 652, 953, 521, 448, 319, 462, 351, 212, 101, 0), (1267, 1089, 1028, 1032, 921, 443, 446, 411, 478, 206, 143, 84, 0, 1213, 1003, 832, 657, 961, 527, 452, 323, 462, 352, 214, 102, 0), (1276, 1092, 1038, 1043, 923, 444, 451, 412, 478, 206, 145, 85, 0, 1223, 1009, 839, 660, 967, 529, 457, 328, 467, 353, 214, 102, 0), (1290, 1099, 1047, 1049, 930, 446, 453, 414, 482, 209, 146, 85, 0, 1234, 1013, 841, 666, 973, 535, 457, 329, 471, 357, 215, 102, 0), (1298, 1103, 1054, 1064, 936, 447, 453, 415, 484, 211, 146, 85, 0, 1248, 1021, 846, 667, 976, 538, 462, 330, 473, 364, 215, 102, 0), (1304, 1106, 1060, 1068, 946, 449, 459, 417, 487, 213, 146, 85, 0, 1262, 1029, 851, 667, 983, 540, 464, 331, 477, 366, 215, 102, 0), (1315, 1114, 1069, 1076, 952, 450, 460, 418, 493, 215, 146, 85, 0, 1270, 1032, 857, 674, 990, 542, 466, 333, 478, 369, 215, 103, 0), (1323, 1118, 1079, 1081, 959, 452, 461, 423, 494, 216, 146, 85, 0, 1279, 1046, 864, 679, 995, 544, 469, 335, 480, 369, 215, 103, 0), (1331, 1124, 1087, 1096, 969, 456, 462, 425, 498, 220, 148, 86, 0, 1285, 1057, 869, 684, 1000, 548, 472, 336, 481, 369, 216, 103, 0), (1339, 1128, 1095, 1110, 976, 457, 464, 428, 499, 221, 149, 86, 0, 1292, 1068, 874, 686, 1006, 552, 475, 340, 484, 369, 218, 103, 0), (1344, 1139, 1099, 1123, 986, 459, 467, 430, 501, 222, 150, 87, 0, 1299, 1076, 876, 688, 1011, 556, 478, 345, 486, 371, 219, 105, 0), (1353, 1148, 1103, 1135, 988, 460, 470, 431, 508, 222, 153, 87, 0, 1314, 1085, 878, 692, 1020, 557, 480, 346, 487, 374, 223, 105, 0), (1365, 1150, 1110, 1141, 994, 463, 475, 433, 511, 222, 153, 87, 0, 1323, 1089, 885, 697, 1031, 558, 483, 350, 496, 375, 224, 106, 0), (1374, 1155, 1114, 1151, 1000, 466, 477, 436, 513, 225, 154, 87, 0, 1334, 1094, 893, 699, 1038, 563, 487, 352, 502, 379, 227, 106, 0), (1383, 1160, 1120, 1155, 1007, 471, 480, 439, 515, 227, 154, 88, 0, 1346, 1100, 898, 705, 1043, 565, 490, 352, 503, 383, 227, 106, 0), (1394, 1173, 1124, 1161, 1012, 477, 483, 441, 522, 227, 157, 89, 0, 1349, 1104, 903, 709, 1049, 572, 496, 356, 506, 385, 227, 107, 0), (1403, 1180, 1131, 1169, 1021, 479, 484, 445, 527, 228, 157, 89, 0, 1358, 1109, 916, 714, 1059, 574, 501, 358, 508, 388, 229, 108, 0), (1411, 1185, 1137, 1177, 1028, 480, 489, 446, 533, 230, 157, 89, 0, 1360, 1109, 924, 716, 1064, 575, 502, 362, 510, 392, 232, 108, 0), (1420, 1192, 1143, 1186, 1039, 482, 490, 447, 535, 232, 158, 93, 0, 1373, 1112, 927, 718, 1067, 579, 505, 367, 516, 394, 232, 111, 0), (1435, 1203, 1150, 1195, 1047, 486, 493, 453, 537, 233, 158, 93, 0, 1380, 1116, 931, 719, 1073, 581, 507, 370, 517, 399, 232, 112, 0), (1449, 1207, 1155, 1200, 1055, 489, 496, 455, 540, 235, 158, 93, 0, 1390, 1126, 938, 723, 1078, 585, 507, 371, 523, 405, 232, 112, 0), (1459, 1214, 1162, 1205, 1061, 490, 498, 460, 544, 242, 158, 94, 0, 1404, 1136, 943, 726, 1087, 589, 511, 375, 525, 408, 233, 113, 0), (1465, 1218, 1166, 1212, 1067, 491, 498, 462, 546, 243, 161, 96, 0, 1412, 1142, 950, 729, 1093, 591, 514, 378, 527, 411, 234, 113, 0), (1476, 1221, 1174, 1217, 1071, 494, 502, 463, 549, 247, 165, 96, 0, 1423, 1148, 952, 734, 1102, 593, 515, 379, 533, 414, 236, 113, 0), (1488, 1228, 1184, 1225, 1075, 496, 506, 465, 555, 248, 165, 96, 0, 1431, 1158, 955, 736, 1107, 594, 517, 381, 534, 415, 237, 114, 0), (1492, 1230, 1192, 1236, 1081, 499, 507, 471, 555, 250, 168, 99, 0, 1439, 1166, 960, 738, 1116, 597, 520, 387, 538, 416, 238, 114, 0), (1497, 1234, 1193, 1240, 1085, 501, 508, 474, 558, 251, 168, 101, 0, 1449, 1171, 965, 742, 1121, 603, 522, 391, 541, 419, 240, 114, 0), (1501, 1239, 1198, 1247, 1092, 503, 509, 476, 563, 251, 168, 102, 0, 1463, 1183, 968, 746, 1126, 606, 523, 392, 542, 421, 241, 115, 0), (1507, 1240, 1207, 1256, 1097, 504, 511, 477, 565, 251, 168, 102, 0, 1475, 1191, 976, 747, 1133, 613, 526, 392, 545, 422, 243, 115, 0), (1515, 1244, 1218, 1264, 1100, 508, 511, 481, 568, 254, 168, 103, 0, 1482, 1194, 982, 752, 1139, 619, 530, 393, 550, 424, 244, 115, 0), (1523, 1251, 1228, 1267, 1106, 514, 513, 482, 569, 256, 171, 103, 0, 1493, 1208, 990, 758, 1144, 621, 532, 395, 552, 427, 244, 115, 0), (1528, 1261, 1233, 1275, 1109, 516, 515, 486, 571, 256, 172, 104, 0, 1503, 1215, 994, 761, 1147, 625, 535, 396, 557, 430, 245, 115, 0), (1536, 1271, 1240, 1282, 1118, 516, 518, 487, 574, 258, 172, 106, 0, 1511, 1223, 1001, 765, 1152, 625, 536, 399, 560, 433, 245, 115, 0), (1544, 1273, 1245, 1293, 1123, 517, 519, 488, 577, 259, 173, 106, 0, 1515, 1226, 1012, 771, 1156, 628, 540, 402, 565, 436, 246, 115, 0), (1554, 1278, 1250, 1297, 1129, 523, 520, 488, 580, 261, 174, 107, 0, 1522, 1231, 1017, 775, 1163, 633, 543, 404, 566, 439, 248, 115, 0), (1561, 1282, 1258, 1302, 1134, 526, 521, 491, 584, 261, 175, 108, 0, 1534, 1238, 1020, 781, 1174, 635, 544, 407, 571, 440, 251, 115, 0), (1565, 1286, 1262, 1305, 1142, 529, 522, 495, 591, 262, 176, 110, 0, 1538, 1246, 1025, 786, 1182, 640, 546, 408, 573, 444, 251, 116, 0), (1571, 1289, 1268, 1315, 1149, 533, 524, 496, 595, 264, 177, 110, 0, 1542, 1252, 1031, 787, 1194, 643, 549, 409, 575, 445, 251, 116, 0), (1581, 1299, 1272, 1318, 1152, 539, 527, 500, 597, 264, 177, 110, 0, 1547, 1260, 1035, 791, 1202, 646, 550, 413, 577, 447, 251, 116, 0), (1592, 1301, 1280, 1327, 1158, 540, 532, 501, 600, 264, 180, 110, 0, 1548, 1265, 1038, 797, 1206, 648, 551, 415, 581, 451, 251, 117, 0), (1597, 1307, 1289, 1334, 1161, 541, 535, 503, 602, 265, 181, 110, 0, 1558, 1271, 1041, 800, 1215, 650, 552, 417, 585, 454, 251, 117, 0), (1603, 1311, 1293, 1339, 1167, 545, 536, 504, 606, 266, 181, 113, 0, 1561, 1276, 1045, 800, 1225, 655, 552, 420, 589, 454, 252, 118, 0), (1609, 1312, 1299, 1346, 1171, 546, 537, 504, 608, 268, 181, 114, 0, 1565, 1282, 1048, 805, 1232, 660, 553, 422, 593, 457, 252, 118, 0), (1610, 1317, 1302, 1351, 1175, 549, 539, 507, 608, 269, 181, 114, 0, 1573, 1287, 1054, 810, 1236, 662, 553, 422, 594, 462, 253, 118, 0), (1619, 1320, 1312, 1356, 1181, 549, 544, 510, 611, 270, 181, 114, 0, 1581, 1293, 1056, 814, 1245, 662, 555, 424, 598, 464, 253, 118, 0), (1629, 1323, 1320, 1363, 1186, 553, 547, 513, 612, 270, 181, 114, 0, 1582, 1296, 1059, 816, 1250, 665, 558, 425, 598, 467, 253, 120, 0), (1633, 1325, 1326, 1366, 1187, 555, 549, 513, 616, 270, 182, 114, 0, 1590, 1301, 1063, 820, 1253, 665, 560, 426, 603, 470, 253, 120, 0), (1636, 1330, 1330, 1367, 1187, 557, 552, 513, 620, 272, 183, 114, 0, 1595, 1307, 1065, 821, 1258, 668, 563, 430, 605, 472, 253, 120, 0), (1643, 1332, 1333, 1371, 1192, 559, 553, 515, 623, 275, 183, 114, 0, 1602, 1310, 1067, 826, 1262, 668, 564, 431, 606, 474, 253, 121, 0), (1648, 1334, 1338, 1377, 1193, 563, 556, 515, 627, 275, 184, 114, 0, 1609, 1316, 1068, 833, 1266, 669, 566, 432, 608, 475, 254, 121, 0), (1652, 1337, 1345, 1379, 1198, 566, 557, 518, 630, 275, 185, 114, 0, 1612, 1321, 1075, 835, 1272, 670, 566, 432, 609, 476, 255, 121, 0), (1654, 1339, 1350, 1381, 1205, 567, 560, 519, 633, 277, 185, 114, 0, 1623, 1326, 1076, 836, 1277, 672, 567, 433, 610, 480, 255, 121, 0), (1655, 1339, 1357, 1384, 1210, 570, 561, 519, 635, 278, 185, 115, 0, 1629, 1327, 1077, 840, 1281, 674, 569, 435, 612, 484, 255, 121, 0), (1656, 1343, 1362, 1387, 1213, 570, 561, 521, 636, 279, 185, 115, 0, 1634, 1330, 1080, 841, 1287, 676, 570, 435, 614, 485, 256, 121, 0), (1656, 1343, 1362, 1387, 1213, 570, 561, 521, 636, 279, 185, 115, 0, 1634, 1330, 1080, 841, 1287, 676, 570, 435, 614, 485, 256, 121, 0))
passenger_arriving_rate = ((5.020865578371768, 5.064847846385402, 4.342736024677089, 4.661000830397574, 3.7031237384064077, 1.8308820436884476, 2.0730178076869574, 1.938823405408093, 2.030033020722669, 0.9895037538805926, 0.7008775273142672, 0.4081595898588478, 0.0, 5.083880212578363, 4.489755488447325, 3.5043876365713356, 2.968511261641777, 4.060066041445338, 2.7143527675713304, 2.0730178076869574, 1.3077728883488913, 1.8515618692032039, 1.5536669434658585, 0.8685472049354179, 0.4604407133077639, 0.0), (5.354327152019974, 5.399222302966028, 4.629455492775127, 4.968858189957462, 3.948326891649491, 1.9518237573581576, 2.209734470631847, 2.066464051210712, 2.164081775444303, 1.0547451730692876, 0.7471826893260219, 0.4351013884011963, 0.0, 5.419791647439855, 4.786115272413158, 3.73591344663011, 3.164235519207862, 4.328163550888606, 2.8930496716949965, 2.209734470631847, 1.3941598266843982, 1.9741634458247455, 1.6562860633191545, 0.9258910985550255, 0.49083839117872996, 0.0), (5.686723008979731, 5.732269739983398, 4.915035237956178, 5.275490778498595, 4.192641982499829, 2.072282983465593, 2.345909253980352, 2.193593853293508, 2.297595602292516, 1.1197284437551367, 0.7933038581293855, 0.46193605433775464, 0.0, 5.75436482820969, 5.0812965977153, 3.9665192906469278, 3.3591853312654094, 4.595191204585032, 3.0710313946109116, 2.345909253980352, 1.480202131046852, 2.0963209912499146, 1.758496926166199, 0.9830070475912357, 0.5211154309075817, 0.0), (6.016757793146562, 6.062668793441743, 5.198342391099879, 5.579682305649055, 4.435107784001268, 2.191782029841316, 2.4810018208239777, 2.3197088156227115, 2.430045053640364, 1.1841956746065454, 0.8390580686378972, 0.4885571404108718, 0.0, 6.086272806254225, 5.374128544519589, 4.195290343189486, 3.5525870238196355, 4.860090107280728, 3.247592341871796, 2.4810018208239777, 1.5655585927437972, 2.217553892000634, 1.8598941018830188, 1.0396684782199759, 0.551151708494704, 0.0), (6.343136148415981, 6.389098099345293, 5.478244083085864, 5.880216481036927, 4.674763069197661, 2.3098432043158894, 2.6144718342542292, 2.444304942164548, 2.560900681860902, 1.24788897429192, 0.8842623557650959, 0.514858199362897, 0.0, 6.414188632939817, 5.6634401929918665, 4.42131177882548, 3.743666922875759, 5.121801363721804, 3.422026919030367, 2.6144718342542292, 1.6498880030827783, 2.3373815345988307, 1.9600721603456428, 1.095648816617173, 0.5808270999404813, 0.0), (6.66456271868351, 6.710236293698289, 5.753607444793765, 6.175877014290295, 4.910646611132853, 2.4259888147198754, 2.745778957362612, 2.566878236885247, 2.689633039327186, 1.310550451479666, 0.9287337544245222, 0.5407327839361791, 0.0, 6.736785359632827, 5.948060623297969, 4.64366877212261, 3.9316513544389973, 5.379266078654372, 3.593629531639346, 2.745778957362612, 1.7328491533713395, 2.4553233055664263, 2.058625671430099, 1.1507214889587531, 0.6100214812452991, 0.0), (6.979742147844666, 7.024762012504959, 6.023299607103222, 6.465447615037239, 5.141797182850695, 2.5397411688838374, 2.8743828532406313, 2.686924703751037, 2.8157126784122717, 1.3719222148381898, 0.9722892995297139, 0.5660744468730674, 0.0, 7.052736037699606, 6.22681891560374, 4.8614464976485685, 4.115766644514569, 5.631425356824543, 3.761694585251452, 2.8743828532406313, 1.8141008349170267, 2.5708985914253475, 2.1551492050124135, 1.2046599214206444, 0.6386147284095418, 0.0), (7.2873790797949685, 7.331353891769537, 6.286187700893863, 6.747711992905847, 5.367253557395036, 2.650622574638337, 2.9997431849797924, 2.8039403467281465, 2.9386101514892147, 1.4317463730358968, 1.0147460259942116, 0.5907767409159108, 0.0, 7.360713718506519, 6.498544150075018, 5.073730129971057, 4.2952391191076895, 5.877220302978429, 3.9255164854194056, 2.9997431849797924, 1.8933018390273837, 2.683626778697518, 2.249237330968616, 1.2572375401787725, 0.6664867174335943, 0.0), (7.586178158429934, 7.628690567496257, 6.54113885704533, 7.021453857524196, 5.586054507809724, 2.7581553398139356, 3.1213196156715988, 2.917421169782802, 3.0577960109310682, 1.4897650347411937, 1.0559209687315536, 0.6147332188070586, 0.0, 7.659391453419917, 6.762065406877643, 5.279604843657768, 4.469295104223581, 6.1155920218621365, 4.084389637695923, 3.1213196156715988, 1.970110957009954, 2.793027253904862, 2.3404846191747324, 1.3082277714090662, 0.6935173243178416, 0.0), (7.874844027645085, 7.915450675689353, 6.787020206437253, 7.285456918520376, 5.797238807138606, 2.861861772241199, 3.23857180840756, 3.0268631768812346, 3.1727408091108913, 1.5457203086224858, 1.0956311626552797, 0.6378374332888596, 0.0, 7.947442293806162, 7.016211766177453, 5.478155813276398, 4.637160925867456, 6.345481618221783, 4.237608447633728, 3.23857180840756, 2.044186980172285, 2.898619403569303, 2.4284856395067926, 1.3574040412874508, 0.7195864250626686, 0.0), (8.152081331335932, 8.190312852353056, 7.022698879949271, 7.538504885522466, 5.999845228425533, 2.961264179750688, 3.3509594262791773, 3.1317623719896712, 3.282915098401738, 1.599354303348179, 1.133693642678929, 0.6599829371036627, 0.0, 8.22353929103161, 7.259812308140289, 5.668468213394645, 4.798062910044536, 6.565830196803476, 4.384467320785539, 3.3509594262791773, 2.11518869982192, 2.9999226142127666, 2.5128349618408223, 1.4045397759898541, 0.7445738956684597, 0.0), (8.416594713398005, 8.451955733491605, 7.247042008461013, 7.779381468158547, 6.192912544714355, 3.055884870172965, 3.457942132377958, 3.2316147590743394, 3.3877894311766643, 1.6504091275866801, 1.1699254437160416, 0.6810632829938176, 0.0, 8.486355496462611, 7.491696112931993, 5.849627218580208, 4.951227382760039, 6.775578862353329, 4.524260662704076, 3.457942132377958, 2.1827749072664036, 3.0964562723571776, 2.5931271560528497, 1.4494084016922026, 0.7683596121356006, 0.0), (8.667088817726812, 8.699057955109222, 7.458916722852117, 8.006870376056709, 6.375479529048918, 3.1452461513385908, 3.5589795897954057, 3.325916342101467, 3.486834359808726, 1.6986268900063934, 1.2041436006801558, 0.7009720237016724, 0.0, 8.734563961465534, 7.710692260718395, 6.020718003400779, 5.095880670019179, 6.973668719617452, 4.656282878942054, 3.5589795897954057, 2.246604393813279, 3.187739764524459, 2.6689567920189035, 1.4917833445704234, 0.7908234504644749, 0.0), (8.902268288217876, 8.93029815321015, 7.657190154002218, 8.219755318845033, 6.546584954473067, 3.2288703310781304, 3.653531461623028, 3.414163125037284, 3.579520436670977, 1.7437496992757264, 1.2361651484848115, 0.7196027119695768, 0.0, 8.966837737406735, 7.915629831665344, 6.180825742424058, 5.2312490978271775, 7.159040873341954, 4.7798283750521975, 3.653531461623028, 2.306335950770093, 3.2732924772365335, 2.7399184396150114, 1.5314380308004438, 0.8118452866554684, 0.0), (9.120837768766716, 9.144354963798623, 7.840729432790956, 8.416820006151594, 6.705267594030659, 3.306279717222145, 3.7410574109523305, 3.4958511118480193, 3.6653182141364735, 1.785519664063084, 1.2658071220435476, 0.7368489005398801, 0.0, 9.181849875652563, 8.10533790593868, 6.329035610217737, 5.3565589921892505, 7.330636428272947, 4.894191556587227, 3.7410574109523305, 2.3616283694443894, 3.3526337970153297, 2.8056066687171985, 1.5681458865581912, 0.8313049967089657, 0.0), (9.321501903268855, 9.339907022878865, 8.008401690097953, 8.59684814760449, 6.850566220765538, 3.376996617601199, 3.821017100874813, 3.5704763064998986, 3.743698244578273, 1.823678893036873, 1.2928865562699035, 0.752604142154931, 0.0, 9.37827342756938, 8.27864556370424, 6.464432781349516, 5.471036679110618, 7.487396489156546, 4.998666829099858, 3.821017100874813, 2.4121404411437135, 3.425283110382769, 2.865616049201497, 1.6016803380195905, 0.8490824566253515, 0.0), (9.5029653356198, 9.51563296645512, 8.159074056802854, 8.758623452831788, 6.981519607721555, 3.4405433400458514, 3.892870194481988, 3.6375347129591504, 3.8141310803694286, 1.8579694948654994, 1.3172204860774188, 0.7667619895570784, 0.0, 9.554781444523545, 8.434381885127861, 6.586102430387094, 5.5739084845964975, 7.628262160738857, 5.092548598142811, 3.892870194481988, 2.4575309571756083, 3.4907598038607777, 2.9195411509439295, 1.6318148113605708, 0.8650575424050111, 0.0), (9.663932709715075, 9.670211430531618, 8.291613663785293, 8.900929631461583, 7.097166527942559, 3.4964421923866666, 3.9560763548653552, 3.6965223351920073, 3.8760872738829946, 1.8881335782173672, 1.3386259463796333, 0.7792159954886714, 0.0, 9.710046977881415, 8.571375950375383, 6.693129731898166, 5.6644007346521, 7.752174547765989, 5.17513126926881, 3.9560763548653552, 2.4974587088476192, 3.5485832639712793, 2.9669765438205284, 1.6583227327570589, 0.8791101300483289, 0.0), (9.803108669450204, 9.802321051112584, 8.404887641924901, 9.022550393121959, 7.1965457544723925, 3.5442154824542103, 4.010095245116426, 3.746935177164692, 3.929037377492032, 1.9139132517608846, 1.3569199720900849, 0.7898597126920597, 0.0, 9.842743079009345, 8.688456839612655, 6.784599860450424, 5.741739755282652, 7.858074754984064, 5.245709248030569, 4.010095245116426, 2.531582487467293, 3.5982728772361963, 3.0075167977073205, 1.6809775283849802, 0.8911200955556896, 0.0), (9.919197858720699, 9.910640464202265, 8.497763122101317, 9.122269447440985, 7.2786960603549105, 3.5833855180790386, 4.054386528326697, 3.7882692428434357, 3.9724519435695926, 1.9350506241644574, 1.3719195981223131, 0.7985866939095915, 0.0, 9.951542799273696, 8.784453633005505, 6.859597990611565, 5.80515187249337, 7.944903887139185, 5.30357693998081, 4.054386528326697, 2.55956108434217, 3.6393480301774552, 3.0407564824803295, 1.6995526244202632, 0.9009673149274788, 0.0), (10.010904921422082, 9.993848305804882, 8.569107235194169, 9.198870504046766, 7.342656218633962, 3.613474607091719, 4.088409867587681, 3.8200205361944657, 4.005801524488732, 1.95128780409649, 1.3834418593898585, 0.805290491883616, 0.0, 10.035119190040824, 8.858195410719775, 6.9172092969492915, 5.853863412289469, 8.011603048977465, 5.348028750672252, 4.088409867587681, 2.5810532907797996, 3.671328109316981, 3.0662901680155894, 1.713821447038834, 0.9085316641640803, 0.0), (10.076934501449866, 10.050623211924679, 8.6177871120831, 9.251137272567364, 7.387465002353392, 3.6340050573228124, 4.1116249259908795, 3.84168506118401, 4.028556672622507, 1.9623669002253892, 1.39130379080626, 0.8098646593564828, 0.0, 10.092145302677078, 8.90851125292131, 6.9565189540313, 5.887100700676166, 8.057113345245014, 5.378359085657614, 4.1116249259908795, 2.5957178980877234, 3.693732501176696, 3.0837124241891223, 1.72355742241662, 0.91369301926588, 0.0), (10.115991242699579, 10.079643818565883, 8.642669883647738, 9.277853462630876, 7.41216118455705, 3.644499176602881, 4.1234913666278, 3.852758821778298, 4.040187940343971, 1.968030021219561, 1.3953224272850568, 0.8122027490705409, 0.0, 10.121294188548827, 8.934230239775948, 6.976612136425284, 5.904090063658682, 8.080375880687942, 5.393862350489617, 4.1234913666278, 2.6032136975734863, 3.706080592278525, 3.09261782087696, 1.7285339767295478, 0.9163312562332622, 0.0), (10.13039336334264, 10.083079961133974, 8.645769318701419, 9.281198109567903, 7.418488037355065, 3.6458333333333335, 4.124902001129669, 3.8539557613168727, 4.0416420781893, 1.9686980681298587, 1.3958263395269568, 0.8124914647157445, 0.0, 10.125, 8.93740611187319, 6.9791316976347835, 5.906094204389575, 8.0832841563786, 5.395538065843622, 4.124902001129669, 2.604166666666667, 3.7092440186775324, 3.0937327031893016, 1.729153863740284, 0.9166436328303613, 0.0), (10.141012413034153, 10.08107561728395, 8.645262345679013, 9.280786458333335, 7.422071742409901, 3.6458333333333335, 4.124126906318083, 3.852291666666667, 4.041447222222222, 1.968287654320988, 1.39577076318743, 0.8124238683127573, 0.0, 10.125, 8.936662551440328, 6.978853815937151, 5.904862962962962, 8.082894444444443, 5.393208333333334, 4.124126906318083, 2.604166666666667, 3.7110358712049507, 3.0935954861111123, 1.7290524691358027, 0.9164614197530866, 0.0), (10.15140723021158, 10.077124771376313, 8.644261545496114, 9.279972029320987, 7.4255766303963355, 3.6458333333333335, 4.122599451303155, 3.8490226337448563, 4.041062242798354, 1.96747970964792, 1.3956605665710604, 0.8122904282883707, 0.0, 10.125, 8.935194711172077, 6.978302832855302, 5.902439128943758, 8.082124485596708, 5.388631687242799, 4.122599451303155, 2.604166666666667, 3.7127883151981678, 3.0933240097736636, 1.728852309099223, 0.9161022519433014, 0.0), (10.161577019048034, 10.071287780064015, 8.642780635573846, 9.278764081790122, 7.429002578947403, 3.6458333333333335, 4.120343359154361, 3.8442103909465026, 4.0404920781893, 1.9662876771833566, 1.3954967473084758, 0.8120929736320684, 0.0, 10.125, 8.933022709952752, 6.977483736542379, 5.898863031550069, 8.0809841563786, 5.381894547325103, 4.120343359154361, 2.604166666666667, 3.7145012894737013, 3.0929213605967085, 1.7285561271147696, 0.915571616369456, 0.0), (10.171520983716636, 10.063624999999998, 8.640833333333333, 9.277171874999999, 7.432349465696142, 3.6458333333333335, 4.117382352941177, 3.837916666666667, 4.039741666666666, 1.9647250000000003, 1.3952803030303031, 0.8118333333333335, 0.0, 10.125, 8.930166666666667, 6.976401515151515, 5.894175, 8.079483333333332, 5.373083333333334, 4.117382352941177, 2.604166666666667, 3.716174732848071, 3.0923906250000006, 1.7281666666666669, 0.914875, 0.0), (10.181238328390501, 10.054196787837219, 8.638433356195703, 9.275204668209877, 7.4356171682756, 3.6458333333333335, 4.113740155733075, 3.830203189300412, 4.038815946502057, 1.9628051211705537, 1.3950122313671698, 0.8115133363816492, 0.0, 10.125, 8.926646700198141, 6.9750611568358485, 5.88841536351166, 8.077631893004114, 5.3622844650205765, 4.113740155733075, 2.604166666666667, 3.7178085841378, 3.091734889403293, 1.7276866712391405, 0.9140178898033837, 0.0), (10.19072825724275, 10.043063500228623, 8.635594421582077, 9.272871720679012, 7.438805564318813, 3.6458333333333335, 4.109440490599533, 3.821131687242798, 4.037719855967078, 1.9605414837677189, 1.3946935299497027, 0.811134811766499, 0.0, 10.125, 8.922482929431489, 6.973467649748514, 5.881624451303155, 8.075439711934155, 5.349584362139917, 4.109440490599533, 2.604166666666667, 3.7194027821594067, 3.0909572402263383, 1.7271188843164156, 0.9130057727480568, 0.0), (10.199989974446497, 10.03028549382716, 8.63233024691358, 9.270182291666666, 7.441914531458824, 3.6458333333333335, 4.104507080610022, 3.8107638888888884, 4.036458333333333, 1.957947530864198, 1.39432519640853, 0.8106995884773662, 0.0, 10.125, 8.917695473251028, 6.9716259820426485, 5.873842592592593, 8.072916666666666, 5.335069444444444, 4.104507080610022, 2.604166666666667, 3.720957265729412, 3.0900607638888897, 1.7264660493827162, 0.9118441358024693, 0.0), (10.209022684174858, 10.01592312528578, 8.62865454961134, 9.267145640432098, 7.444943947328672, 3.6458333333333335, 4.09896364883402, 3.799161522633745, 4.035036316872428, 1.9550367055326936, 1.3939082283742779, 0.8102094955037343, 0.0, 10.125, 8.912304450541077, 6.969541141871389, 5.865110116598079, 8.070072633744855, 5.318826131687243, 4.09896364883402, 2.604166666666667, 3.722471973664336, 3.0890485468107003, 1.7257309099222682, 0.910538465935071, 0.0), (10.217825590600954, 10.00003675125743, 8.624581047096479, 9.263771026234568, 7.447893689561397, 3.6458333333333335, 4.092833918340999, 3.7863863168724285, 4.033458744855967, 1.951822450845908, 1.3934436234775742, 0.8096663618350862, 0.0, 10.125, 8.906329980185948, 6.96721811738787, 5.8554673525377225, 8.066917489711933, 5.3009408436214, 4.092833918340999, 2.604166666666667, 3.7239468447806985, 3.0879236754115236, 1.7249162094192958, 0.909094250114312, 0.0), (10.226397897897897, 9.98268672839506, 8.620123456790123, 9.260067708333333, 7.450763635790041, 3.6458333333333335, 4.086141612200436, 3.7725000000000004, 4.031730555555555, 1.9483182098765437, 1.392932379349046, 0.8090720164609053, 0.0, 10.125, 8.899792181069957, 6.96466189674523, 5.84495462962963, 8.06346111111111, 5.2815, 4.086141612200436, 2.604166666666667, 3.7253818178950207, 3.086689236111112, 1.724024691358025, 0.9075169753086421, 0.0), (10.23473881023881, 9.963933413351622, 8.615295496113397, 9.256044945987654, 7.453553663647644, 3.6458333333333335, 4.078910453481805, 3.7575643004115222, 4.029856687242798, 1.9445374256973027, 1.3923754936193207, 0.8084282883706753, 0.0, 10.125, 8.892711172077426, 6.961877468096604, 5.833612277091907, 8.059713374485597, 5.260590020576132, 4.078910453481805, 2.604166666666667, 3.726776831823822, 3.085348315329219, 1.7230590992226795, 0.9058121284865113, 0.0), (10.242847531796807, 9.943837162780063, 8.610110882487428, 9.25171199845679, 7.456263650767246, 3.6458333333333335, 4.071164165254579, 3.741640946502058, 4.0278420781893, 1.9404935413808875, 1.3917739639190256, 0.807737006553879, 0.0, 10.125, 8.88510707209267, 6.958869819595128, 5.821480624142661, 8.0556841563786, 5.238297325102881, 4.071164165254579, 2.604166666666667, 3.728131825383623, 3.0839039994855972, 1.7220221764974855, 0.9039851966163696, 0.0), (10.250723266745005, 9.922458333333331, 8.604583333333334, 9.247078125, 7.45889347478189, 3.6458333333333335, 4.062926470588235, 3.724791666666667, 4.025691666666666, 1.9362000000000004, 1.391128787878788, 0.8070000000000002, 0.0, 10.125, 8.877, 6.95564393939394, 5.8086, 8.051383333333332, 5.214708333333334, 4.062926470588235, 2.604166666666667, 3.729446737390945, 3.0823593750000007, 1.7209166666666669, 0.9020416666666666, 0.0), (10.258365219256524, 9.89985728166438, 8.598726566072246, 9.242152584876543, 7.4614430133246135, 3.6458333333333335, 4.054221092552247, 3.707078189300412, 4.023410390946502, 1.931670244627344, 1.3904409631292352, 0.8062190976985216, 0.0, 10.125, 8.868410074683737, 6.952204815646175, 5.79501073388203, 8.046820781893004, 5.189909465020577, 4.054221092552247, 2.604166666666667, 3.7307215066623067, 3.080717528292182, 1.7197453132144491, 0.8999870256058529, 0.0), (10.265772593504476, 9.876094364426155, 8.592554298125286, 9.23694463734568, 7.46391214402846, 3.6458333333333335, 4.04507175421609, 3.6885622427983544, 4.021003189300411, 1.92691771833562, 1.3897114873009937, 0.8053961286389272, 0.0, 10.125, 8.859357415028198, 6.948557436504967, 5.780753155006859, 8.042006378600822, 5.163987139917697, 4.04507175421609, 2.604166666666667, 3.73195607201423, 3.078981545781894, 1.7185108596250571, 0.8978267604023779, 0.0), (10.272944593661986, 9.851229938271604, 8.586080246913582, 9.231463541666667, 7.466300744526468, 3.6458333333333335, 4.035502178649238, 3.6693055555555554, 4.0184750000000005, 1.9219558641975314, 1.3889413580246914, 0.8045329218106996, 0.0, 10.125, 8.849862139917693, 6.944706790123457, 5.765867592592593, 8.036950000000001, 5.137027777777778, 4.035502178649238, 2.604166666666667, 3.733150372263234, 3.07715451388889, 1.7172160493827164, 0.8955663580246914, 0.0), (10.279880423902163, 9.82532435985368, 8.579318129858253, 9.225718557098766, 7.468608692451679, 3.6458333333333335, 4.025536088921165, 3.649369855967079, 4.015830761316872, 1.9167981252857802, 1.3881315729309558, 0.8036313062033228, 0.0, 10.125, 8.83994436823655, 6.940657864654778, 5.750394375857339, 8.031661522633744, 5.1091177983539104, 4.025536088921165, 2.604166666666667, 3.7343043462258394, 3.0752395190329227, 1.7158636259716507, 0.8932113054412438, 0.0), (10.286579288398128, 9.79843798582533, 8.57228166438043, 9.219718942901235, 7.4708358654371345, 3.6458333333333335, 4.015197208101347, 3.628816872427984, 4.0130754115226335, 1.9114579446730684, 1.3872831296504138, 0.8026931108062796, 0.0, 10.125, 8.829624218869075, 6.936415648252069, 5.734373834019204, 8.026150823045267, 5.0803436213991775, 4.015197208101347, 2.604166666666667, 3.7354179327185673, 3.073239647633746, 1.7144563328760862, 0.8907670896204848, 0.0), (10.293040391323, 9.770631172839506, 8.564984567901236, 9.213473958333335, 7.472982141115872, 3.6458333333333335, 4.004509259259259, 3.6077083333333335, 4.010213888888889, 1.9059487654320992, 1.3863970258136926, 0.8017201646090536, 0.0, 10.125, 8.818921810699589, 6.931985129068463, 5.717846296296297, 8.020427777777778, 5.050791666666667, 4.004509259259259, 2.604166666666667, 3.736491070557936, 3.0711579861111122, 1.7129969135802474, 0.8882391975308643, 0.0), (10.299262936849892, 9.741964277549155, 8.557440557841794, 9.206992862654321, 7.475047397120935, 3.6458333333333335, 3.993495965464375, 3.58610596707819, 4.007251131687243, 1.9002840306355744, 1.3854742590514195, 0.800714296601128, 0.0, 10.125, 8.807857262612407, 6.927371295257098, 5.700852091906722, 8.014502263374485, 5.020548353909466, 3.993495965464375, 2.604166666666667, 3.7375236985604676, 3.0689976208847747, 1.7114881115683587, 0.8856331161408324, 0.0), (10.305246129151927, 9.712497656607225, 8.549663351623229, 9.200284915123458, 7.477031511085363, 3.6458333333333335, 3.9821810497861696, 3.564071502057614, 4.0041920781893, 1.8944771833561962, 1.3845158269942222, 0.7996773357719861, 0.0, 10.125, 8.796450693491845, 6.92257913497111, 5.683431550068587, 8.0083841563786, 4.98970010288066, 3.9821810497861696, 2.604166666666667, 3.7385157555426813, 3.0667616383744867, 1.709932670324646, 0.8829543324188387, 0.0), (10.310989172402216, 9.682291666666666, 8.541666666666668, 9.193359375, 7.478934360642197, 3.6458333333333335, 3.9705882352941178, 3.541666666666667, 4.001041666666666, 1.8885416666666672, 1.3835227272727273, 0.798611111111111, 0.0, 10.125, 8.784722222222221, 6.917613636363637, 5.665625, 8.002083333333331, 4.958333333333334, 3.9705882352941178, 2.604166666666667, 3.7394671803210984, 3.064453125000001, 1.7083333333333335, 0.8802083333333335, 0.0), (10.31649127077388, 9.65140666438043, 8.533464220393233, 9.186225501543209, 7.480755823424477, 3.6458333333333335, 3.958741245057694, 3.518953189300412, 3.997804835390946, 1.8824909236396894, 1.3824959575175624, 0.7975174516079867, 0.0, 10.125, 8.772691967687852, 6.912479787587812, 5.647472770919067, 7.995609670781892, 4.926534465020577, 3.958741245057694, 2.604166666666667, 3.7403779117122387, 3.062075167181071, 1.7066928440786466, 0.8774006058527665, 0.0), (10.321751628440035, 9.619903006401461, 8.525069730224052, 9.178892554012345, 7.482495777065244, 3.6458333333333335, 3.9466638021463734, 3.4959927983539094, 3.994486522633745, 1.8763383973479657, 1.3814365153593549, 0.7963981862520958, 0.0, 10.125, 8.760380048773053, 6.9071825767967745, 5.629015192043896, 7.98897304526749, 4.894389917695474, 3.9466638021463734, 2.604166666666667, 3.741247888532622, 3.0596308513374493, 1.7050139460448106, 0.8745366369455876, 0.0), (10.326769449573796, 9.587841049382716, 8.516496913580248, 9.171369791666667, 7.48415409919754, 3.6458333333333335, 3.9343796296296296, 3.4728472222222226, 3.9910916666666667, 1.8700975308641978, 1.3803453984287317, 0.7952551440329219, 0.0, 10.125, 8.74780658436214, 6.901726992143659, 5.610292592592592, 7.982183333333333, 4.861986111111112, 3.9343796296296296, 2.604166666666667, 3.74207704959877, 3.05712326388889, 1.7032993827160496, 0.871621913580247, 0.0), (10.331543938348286, 9.555281149977136, 8.507759487882945, 9.163666473765433, 7.485730667454405, 3.6458333333333335, 3.9219124505769383, 3.4495781893004116, 3.987625205761317, 1.8637817672610888, 1.3792236043563206, 0.7940901539399483, 0.0, 10.125, 8.73499169333943, 6.896118021781603, 5.5913453017832655, 7.975250411522634, 4.829409465020577, 3.9219124505769383, 2.604166666666667, 3.7428653337272024, 3.054555491255145, 1.7015518975765893, 0.8686619227251944, 0.0), (10.336074298936616, 9.522283664837678, 8.49887117055327, 9.155791859567902, 7.4872253594688765, 3.6458333333333335, 3.909285988057775, 3.4262474279835393, 3.9840920781893, 1.85740454961134, 1.3780721307727481, 0.7929050449626583, 0.0, 10.125, 8.72195549458924, 6.89036065386374, 5.572213648834019, 7.9681841563786, 4.796746399176955, 3.909285988057775, 2.604166666666667, 3.7436126797344382, 3.051930619855968, 1.6997742341106543, 0.86566215134888, 0.0), (10.34035973551191, 9.488908950617283, 8.489845679012346, 9.147755208333333, 7.488638052873998, 3.6458333333333335, 3.896523965141612, 3.4029166666666666, 3.9804972222222226, 1.8509793209876546, 1.3768919753086422, 0.7917016460905352, 0.0, 10.125, 8.708718106995885, 6.884459876543211, 5.552937962962963, 7.960994444444445, 4.764083333333334, 3.896523965141612, 2.604166666666667, 3.744319026436999, 3.049251736111112, 1.6979691358024693, 0.8626280864197532, 0.0), (10.344399452247279, 9.455217363968908, 8.480696730681299, 9.139565779320987, 7.489968625302809, 3.6458333333333335, 3.883650104897926, 3.3796476337448556, 3.976845576131687, 1.8445195244627348, 1.3756841355946297, 0.7904817863130622, 0.0, 10.125, 8.695299649443683, 6.878420677973147, 5.533558573388203, 7.953691152263374, 4.731506687242798, 3.883650104897926, 2.604166666666667, 3.7449843126514044, 3.04652192644033, 1.69613934613626, 0.8595652149062645, 0.0), (10.348192653315843, 9.421269261545497, 8.471438042981255, 9.131232831790122, 7.491216954388353, 3.6458333333333335, 3.8706881303961915, 3.3565020576131688, 3.9731420781893005, 1.8380386031092826, 1.3744496092613379, 0.7892472946197227, 0.0, 10.125, 8.681720240816947, 6.872248046306688, 5.514115809327846, 7.946284156378601, 4.699102880658437, 3.8706881303961915, 2.604166666666667, 3.7456084771941764, 3.043744277263375, 1.694287608596251, 0.8564790237768635, 0.0), (10.351738542890716, 9.387125000000001, 8.462083333333332, 9.122765625, 7.492382917763668, 3.6458333333333335, 3.8576617647058824, 3.333541666666666, 3.9693916666666667, 1.8315500000000005, 1.3731893939393938, 0.788, 0.0, 10.125, 8.668, 6.865946969696969, 5.49465, 7.938783333333333, 4.666958333333333, 3.8576617647058824, 2.604166666666667, 3.746191458881834, 3.040921875000001, 1.6924166666666667, 0.8533750000000002, 0.0), (10.355036325145022, 9.352844935985367, 8.452646319158665, 9.114173418209877, 7.493466393061793, 3.6458333333333335, 3.844594730896474, 3.3108281893004117, 3.9655992798353905, 1.8250671582075908, 1.3719044872594257, 0.7867417314433777, 0.0, 10.125, 8.654159045877153, 6.859522436297127, 5.4752014746227715, 7.931198559670781, 4.6351594650205765, 3.844594730896474, 2.604166666666667, 3.7467331965308963, 3.0380578060699595, 1.6905292638317333, 0.8502586305441244, 0.0), (10.358085204251871, 9.31848942615455, 8.443140717878373, 9.105465470679011, 7.4944672579157725, 3.6458333333333335, 3.8315107520374405, 3.288423353909465, 3.961769855967078, 1.818603520804756, 1.3705958868520598, 0.7854743179393385, 0.0, 10.125, 8.640217497332722, 6.852979434260299, 5.455810562414267, 7.923539711934156, 4.603792695473251, 3.8315107520374405, 2.604166666666667, 3.7472336289578863, 3.035155156893005, 1.6886281435756747, 0.8471354023776865, 0.0), (10.360884384384383, 9.284118827160494, 8.433580246913582, 9.096651041666666, 7.495385389958644, 3.6458333333333335, 3.818433551198257, 3.2663888888888892, 3.957908333333333, 1.812172530864198, 1.369264590347924, 0.7841995884773663, 0.0, 10.125, 8.626195473251027, 6.8463229517396185, 5.436517592592593, 7.915816666666666, 4.572944444444445, 3.818433551198257, 2.604166666666667, 3.747692694979322, 3.0322170138888898, 1.6867160493827165, 0.844010802469136, 0.0), (10.36343306971568, 9.24979349565615, 8.423978623685414, 9.087739390432098, 7.496220666823449, 3.6458333333333335, 3.8053868514483984, 3.2447865226337447, 3.954019650205761, 1.8057876314586196, 1.367911595377645, 0.7829193720469442, 0.0, 10.125, 8.612113092516385, 6.8395579768882255, 5.417362894375858, 7.908039300411522, 4.5427011316872425, 3.8053868514483984, 2.604166666666667, 3.7481103334117245, 3.029246463477367, 1.684795724737083, 0.8408903177869229, 0.0), (10.36573046441887, 9.215573788294467, 8.414349565614998, 9.078739776234567, 7.49697296614323, 3.6458333333333335, 3.792394375857339, 3.2236779835390945, 3.9501087448559673, 1.799462265660723, 1.3665378995718502, 0.7816354976375554, 0.0, 10.125, 8.597990474013107, 6.83268949785925, 5.398386796982168, 7.900217489711935, 4.513149176954733, 3.792394375857339, 2.604166666666667, 3.748486483071615, 3.02624659207819, 1.6828699131229998, 0.8377794352994972, 0.0), (10.367775772667077, 9.181520061728396, 8.404706790123456, 9.069661458333334, 7.497642165551024, 3.6458333333333335, 3.779479847494553, 3.203125, 3.946180555555556, 1.7932098765432103, 1.3651445005611673, 0.7803497942386832, 0.0, 10.125, 8.583847736625515, 6.825722502805837, 5.37962962962963, 7.892361111111112, 4.484375, 3.779479847494553, 2.604166666666667, 3.748821082775512, 3.023220486111112, 1.6809413580246915, 0.8346836419753088, 0.0), (10.369568198633415, 9.147692672610884, 8.395064014631917, 9.060513695987654, 7.498228142679874, 3.6458333333333335, 3.7666669894295164, 3.183189300411523, 3.9422400205761314, 1.7870439071787843, 1.3637323959762233, 0.7790640908398111, 0.0, 10.125, 8.56970499923792, 6.818661979881115, 5.361131721536351, 7.884480041152263, 4.456465020576132, 3.7666669894295164, 2.604166666666667, 3.749114071339937, 3.0201712319958856, 1.6790128029263836, 0.8316084247828076, 0.0), (10.371106946491004, 9.114151977594878, 8.385434956561502, 9.051305748456791, 7.498730775162823, 3.6458333333333335, 3.753979524731703, 3.1639326131687247, 3.9382920781893, 1.7809778006401469, 1.3623025834476452, 0.7777802164304223, 0.0, 10.125, 8.555582380734645, 6.811512917238226, 5.3429334019204395, 7.8765841563786, 4.429505658436215, 3.753979524731703, 2.604166666666667, 3.7493653875814115, 3.0171019161522645, 1.6770869913123003, 0.8285592706904436, 0.0), (10.37239122041296, 9.080958333333333, 8.375833333333334, 9.042046875, 7.499149940632904, 3.6458333333333335, 3.741441176470588, 3.1454166666666667, 3.9343416666666666, 1.7750250000000003, 1.360856060606061, 0.7765000000000001, 0.0, 10.125, 8.5415, 6.804280303030303, 5.325075, 7.868683333333333, 4.403583333333334, 3.741441176470588, 2.604166666666667, 3.749574970316452, 3.014015625000001, 1.675166666666667, 0.8255416666666667, 0.0), (10.373420224572397, 9.048172096479195, 8.366272862368541, 9.032746334876544, 7.4994855167231655, 3.6458333333333335, 3.729075667715646, 3.127703189300412, 3.9303937242798352, 1.7691989483310475, 1.3593938250820965, 0.7752252705380279, 0.0, 10.125, 8.527477975918305, 6.796969125410483, 5.307596844993141, 7.8607874485596705, 4.378784465020577, 3.729075667715646, 2.604166666666667, 3.7497427583615828, 3.0109154449588487, 1.6732545724737085, 0.822561099679927, 0.0), (10.374193163142438, 9.015853623685413, 8.35676726108825, 9.023413387345679, 7.499737381066645, 3.6458333333333335, 3.7169067215363514, 3.1108539094650207, 3.9264531893004113, 1.7635130887059902, 1.357916874506381, 0.7739578570339887, 0.0, 10.125, 8.513536427373873, 6.7895843725319045, 5.290539266117969, 7.852906378600823, 4.355195473251029, 3.7169067215363514, 2.604166666666667, 3.7498686905333223, 3.0078044624485605, 1.67135345221765, 0.819623056698674, 0.0), (10.374709240296196, 8.984063271604938, 8.34733024691358, 9.014057291666667, 7.499905411296382, 3.6458333333333335, 3.7049580610021784, 3.094930555555556, 3.9225250000000003, 1.7579808641975312, 1.3564262065095398, 0.7726995884773664, 0.0, 10.125, 8.499695473251029, 6.782131032547699, 5.273942592592592, 7.8450500000000005, 4.332902777777778, 3.7049580610021784, 2.604166666666667, 3.749952705648191, 3.0046857638888897, 1.6694660493827165, 0.8167330246913582, 0.0), (10.374967660206792, 8.952861396890716, 8.337975537265661, 9.004687307098765, 7.499989485045419, 3.6458333333333335, 3.693253409182603, 3.0799948559670787, 3.9186140946502057, 1.7526157178783728, 1.3549228187222018, 0.7714522938576437, 0.0, 10.125, 8.485975232434079, 6.774614093611008, 5.257847153635117, 7.837228189300411, 4.31199279835391, 3.693253409182603, 2.604166666666667, 3.7499947425227096, 3.001562435699589, 1.6675951074531323, 0.8138964906264289, 0.0), (10.374791614480825, 8.922144586043629, 8.328671624942844, 8.995231305354269, 7.499918636864896, 3.645765673423767, 3.681757597414823, 3.0659766041761927, 3.9146959495503735, 1.747405110411792, 1.3533809980900628, 0.770210835158312, 0.0, 10.124875150034294, 8.47231918674143, 6.766904990450313, 5.242215331235375, 7.829391899100747, 4.29236724584667, 3.681757597414823, 2.604118338159833, 3.749959318432448, 2.99841043511809, 1.6657343249885688, 0.8111040532766937, 0.0), (10.373141706924315, 8.890975059737157, 8.319157021604937, 8.985212635869564, 7.499273783587508, 3.6452307956104257, 3.6701340906733066, 3.052124485596708, 3.910599279835391, 1.7422015976761076, 1.3516438064859118, 0.7689349144466104, 0.0, 10.12388599537037, 8.458284058912714, 6.758219032429559, 5.226604793028321, 7.821198559670782, 4.272974279835391, 3.6701340906733066, 2.6037362825788755, 3.749636891793754, 2.9950708786231885, 1.6638314043209876, 0.8082704599761052, 0.0), (10.369885787558895, 8.859209754856408, 8.309390360653863, 8.974565343196456, 7.497999542752628, 3.6441773992785653, 3.658330067280685, 3.0383135192805977, 3.9063009640298736, 1.736979881115684, 1.3496914810876801, 0.7676185634410675, 0.0, 10.121932334533609, 8.44380419785174, 6.7484574054383994, 5.210939643347051, 7.812601928059747, 4.253638926992837, 3.658330067280685, 2.6029838566275467, 3.748999771376314, 2.991521781065486, 1.6618780721307727, 0.8053827049869463, 0.0), (10.365069660642929, 8.826867654542236, 8.299375071444901, 8.963305127818035, 7.496112052502757, 3.6426225549966977, 3.646350829769494, 3.0245482777015704, 3.9018074035970125, 1.7317400898356603, 1.347531228463977, 0.7662627447677263, 0.0, 10.119039887688615, 8.428890192444989, 6.737656142319885, 5.195220269506979, 7.803614807194025, 4.234367588782199, 3.646350829769494, 2.6018732535690696, 3.7480560262513785, 2.987768375939346, 1.6598750142889804, 0.8024425140492942, 0.0), (10.358739130434783, 8.793967741935482, 8.289114583333333, 8.95144769021739, 7.493627450980392, 3.6405833333333337, 3.634201680672269, 3.0108333333333333, 3.897125, 1.7264823529411768, 1.3451702551834133, 0.7648684210526316, 0.0, 10.115234375, 8.413552631578947, 6.7258512759170666, 5.179447058823529, 7.79425, 4.215166666666667, 3.634201680672269, 2.600416666666667, 3.746813725490196, 2.983815896739131, 1.6578229166666667, 0.7994516129032258, 0.0), (10.35094000119282, 8.760529000176998, 8.27861232567444, 8.939008730877617, 7.490561876328034, 3.638076804856983, 3.621887922521546, 2.9971732586495965, 3.8922601547020275, 1.7212067995373737, 1.3426157678145982, 0.7634365549218266, 0.0, 10.110541516632374, 8.397802104140093, 6.71307883907299, 5.163620398612119, 7.784520309404055, 4.196042562109435, 3.621887922521546, 2.598626289183559, 3.745280938164017, 2.979669576959206, 1.655722465134888, 0.7964117272888181, 0.0), (10.341718077175404, 8.726570412407629, 8.267871727823502, 8.926003950281803, 7.486931466688183, 3.6351200401361585, 3.609414857849861, 2.9835726261240665, 3.8872192691662857, 1.7159135587293908, 1.3398749729261428, 0.7619681090013557, 0.0, 10.104987032750344, 8.38164919901491, 6.699374864630713, 5.147740676188171, 7.774438538332571, 4.177001676573693, 3.609414857849861, 2.5965143143829703, 3.7434657333440917, 2.975334650093935, 1.6535743455647005, 0.7933245829461482, 0.0), (10.331119162640901, 8.692110961768218, 8.256896219135802, 8.912449048913043, 7.482752360203341, 3.6317301097393697, 3.59678778918975, 2.9700360082304527, 3.8820087448559666, 1.7106027596223679, 1.336955077086656, 0.7604640459172624, 0.0, 10.098596643518519, 8.365104505089885, 6.684775385433279, 5.131808278867102, 7.764017489711933, 4.158050411522634, 3.59678778918975, 2.594092935528121, 3.7413761801016703, 2.9708163496376816, 1.6513792438271604, 0.7901919056152927, 0.0), (10.319189061847677, 8.65716963139962, 8.245689228966622, 8.898359727254428, 7.478040695016003, 3.6279240842351275, 3.5840120190737474, 2.956567977442463, 3.876634983234263, 1.7052745313214452, 1.3338632868647486, 0.7589253282955902, 0.0, 10.091396069101508, 8.348178611251491, 6.669316434323743, 5.115823593964334, 7.753269966468526, 4.139195168419449, 3.5840120190737474, 2.5913743458822336, 3.7390203475080015, 2.96611990908481, 1.6491378457933243, 0.7870154210363293, 0.0), (10.305973579054093, 8.621765404442675, 8.234254186671238, 8.883751685789049, 7.472812609268672, 3.6237190341919425, 3.5710928500343897, 2.9431731062338065, 3.871104385764365, 1.699929002931763, 1.3306068088290313, 0.7573529187623839, 0.0, 10.083411029663925, 8.330882106386222, 6.653034044145156, 5.099787008795288, 7.74220877152873, 4.120442348727329, 3.5710928500343897, 2.58837073870853, 3.736406304634336, 2.9612505619296834, 1.6468508373342476, 0.7837968549493343, 0.0), (10.291518518518519, 8.585917264038233, 8.222594521604938, 8.868640625, 7.467084241103849, 3.6191320301783265, 3.5580355846042124, 2.9298559670781894, 3.8654233539094642, 1.6945663035584608, 1.327192849548113, 0.7557477799436866, 0.0, 10.074667245370371, 8.313225579380552, 6.635964247740564, 5.083698910675381, 7.7308467078189285, 4.101798353909466, 3.5580355846042124, 2.585094307270233, 3.7335421205519244, 2.956213541666667, 1.6445189043209878, 0.7805379330943849, 0.0), (10.275869684499314, 8.549644193327138, 8.210713663123, 8.85304224537037, 7.460871728664031, 3.61418014276279, 3.5448455253157505, 2.916621132449322, 3.859598289132754, 1.6891865623066789, 1.3236286155906039, 0.7541108744655421, 0.0, 10.065190436385459, 8.295219619120962, 6.618143077953018, 5.067559686920035, 7.719196578265508, 4.083269585429051, 3.5448455253157505, 2.5815572448305644, 3.7304358643320157, 2.951014081790124, 1.6421427326246, 0.7772403812115581, 0.0), (10.259072881254847, 8.51296517545024, 8.198615040580703, 8.836972247383253, 7.454191210091719, 3.6088804425138448, 3.5315279747015405, 2.9034731748209115, 3.853635592897424, 1.683789908281557, 1.3199213135251149, 0.7524431649539947, 0.0, 10.0550063228738, 8.27687481449394, 6.599606567625574, 5.05136972484467, 7.707271185794848, 4.064862444749276, 3.5315279747015405, 2.577771744652746, 3.7270956050458595, 2.945657415794418, 1.639723008116141, 0.7739059250409311, 0.0), (10.241173913043479, 8.475899193548386, 8.186302083333333, 8.82044633152174, 7.447058823529411, 3.60325, 3.5180882352941176, 2.890416666666667, 3.8475416666666664, 1.6783764705882358, 1.3160781499202554, 0.7507456140350878, 0.0, 10.044140624999999, 8.258201754385965, 6.580390749601277, 5.035129411764706, 7.695083333333333, 4.046583333333333, 3.5180882352941176, 2.57375, 3.7235294117647055, 2.940148777173914, 1.6372604166666667, 0.7705362903225808, 0.0), (10.222218584123576, 8.438465230762423, 8.17377822073617, 8.803480198268922, 7.43949070711961, 3.5973058857897686, 3.504531609626018, 2.8774561804602956, 3.841322911903673, 1.6729463783318543, 1.3121063313446355, 0.7490191843348656, 0.0, 10.03261906292867, 8.23921102768352, 6.560531656723177, 5.018839134995561, 7.682645823807346, 4.0284386526444145, 3.504531609626018, 2.5695042041355487, 3.719745353559805, 2.934493399422974, 1.634755644147234, 0.767133202796584, 0.0), (10.202252698753504, 8.400682270233196, 8.16104688214449, 8.78608954810789, 7.431502999004814, 3.591065170451659, 3.4908634002297765, 2.8645962886755068, 3.8349857300716352, 1.6674997606175532, 1.3080130643668657, 0.7472648384793719, 0.0, 10.020467356824417, 8.219913223273089, 6.540065321834328, 5.002499281852659, 7.6699714601432705, 4.01043480414571, 3.4908634002297765, 2.5650465503226134, 3.715751499502407, 2.9286965160359637, 1.632209376428898, 0.7636983882030178, 0.0), (10.181322061191626, 8.362569295101553, 8.14811149691358, 8.768290081521739, 7.423111837327523, 3.584544924554184, 3.477088909637929, 2.851841563786008, 3.8285365226337444, 1.6620367465504726, 1.3038055555555557, 0.7454835390946503, 0.0, 10.007711226851852, 8.200318930041153, 6.519027777777778, 4.986110239651417, 7.657073045267489, 3.9925781893004113, 3.477088909637929, 2.5603892318244172, 3.7115559186637617, 2.922763360507247, 1.629622299382716, 0.7602335722819594, 0.0), (10.159472475696308, 8.32414528850834, 8.13497549439872, 8.75009749899356, 7.414333360230238, 3.577762218665854, 3.463213440383012, 2.8391965782655086, 3.8219816910531925, 1.6565574652357518, 1.2994910114793157, 0.7436762488067449, 0.0, 9.994376393175584, 8.180438736874192, 6.497455057396579, 4.969672395707254, 7.643963382106385, 3.9748752095717124, 3.463213440383012, 2.5555444419041815, 3.707166680115119, 2.916699166331187, 1.626995098879744, 0.7567404807734855, 0.0), (10.136749746525913, 8.285429233594407, 8.121642303955191, 8.731527501006443, 7.405183705855455, 3.57073412335518, 3.44924229499756, 2.826665904587715, 3.815327636793172, 1.6510620457785314, 1.2950766387067558, 0.7418439302416996, 0.0, 9.98048857596022, 8.160283232658694, 6.475383193533778, 4.953186137335593, 7.630655273586344, 3.9573322664228017, 3.44924229499756, 2.550524373825129, 3.7025918529277275, 2.910509167002148, 1.6243284607910382, 0.7532208394176735, 0.0), (10.113199677938807, 8.246440113500597, 8.10811535493827, 8.712595788043478, 7.3956790123456795, 3.563477709190672, 3.4351807760141093, 2.8142541152263374, 3.8085807613168727, 1.645550617283951, 1.290569643806486, 0.7399875460255577, 0.0, 9.96607349537037, 8.139863006281134, 6.452848219032429, 4.936651851851852, 7.6171615226337455, 3.9399557613168725, 3.4351807760141093, 2.54534122085048, 3.6978395061728397, 2.904198596014493, 1.6216230709876542, 0.7496763739545999, 0.0), (10.088868074193357, 8.207196911367758, 8.094398076703246, 8.693318060587762, 7.385835417843406, 3.5560100467408424, 3.4210341859651954, 2.801965782655083, 3.8017474660874866, 1.6400233088571508, 1.2859772333471164, 0.7381080587843638, 0.0, 9.951156871570646, 8.119188646628, 6.429886166735582, 4.9200699265714505, 7.603494932174973, 3.9227520957171165, 3.4210341859651954, 2.540007176243459, 3.692917708921703, 2.897772686862588, 1.6188796153406495, 0.7461088101243417, 0.0), (10.063800739547922, 8.16771861033674, 8.080493898605397, 8.673710019122383, 7.375669060491138, 3.5483482065742016, 3.406807827383354, 2.7898054793476605, 3.794834152568206, 1.634480249603271, 1.2813066138972575, 0.7362064311441613, 0.0, 9.935764424725651, 8.098270742585774, 6.4065330694862865, 4.903440748809812, 7.589668305136412, 3.905727671086725, 3.406807827383354, 2.534534433267287, 3.687834530245569, 2.891236673040795, 1.6160987797210793, 0.7425198736669765, 0.0), (10.03804347826087, 8.128024193548386, 8.06640625, 8.653787364130435, 7.365196078431373, 3.5405092592592595, 3.3925070028011204, 2.7777777777777777, 3.7878472222222226, 1.6289215686274514, 1.2765649920255184, 0.7342836257309943, 0.0, 9.919921875, 8.077119883040936, 6.382824960127592, 4.886764705882353, 7.575694444444445, 3.888888888888889, 3.3925070028011204, 2.5289351851851856, 3.6825980392156863, 2.884595788043479, 1.6132812500000002, 0.7389112903225807, 0.0), (10.011642094590563, 8.088132644143545, 8.05213856024234, 8.63356579609501, 7.35443260980661, 3.532510275364528, 3.378137014751031, 2.7658872504191434, 3.780793076512727, 1.6233473950348318, 1.2717595743005101, 0.7323406051709063, 0.0, 9.903654942558298, 8.055746656879968, 6.35879787150255, 4.870042185104494, 7.561586153025454, 3.872242150586801, 3.378137014751031, 2.5232216252603767, 3.677216304903305, 2.8778552653650036, 1.6104277120484682, 0.7352847858312315, 0.0), (9.984642392795372, 8.048062945263066, 8.0376942586877, 8.613061015499195, 7.343394792759352, 3.524368325458518, 3.363703165765621, 2.754138469745466, 3.773678116902911, 1.6177578579305527, 1.2668975672908422, 0.7303783320899415, 0.0, 9.886989347565157, 8.034161652989356, 6.334487836454211, 4.853273573791657, 7.547356233805822, 3.8557938576436523, 3.363703165765621, 2.517405946756084, 3.671697396379676, 2.871020338499732, 1.6075388517375402, 0.7316420859330061, 0.0), (9.957090177133654, 8.00783408004779, 8.023076774691358, 8.592288722826089, 7.332098765432098, 3.5161004801097393, 3.349210758377425, 2.742536008230453, 3.766508744855967, 1.6121530864197533, 1.261986177565125, 0.7283977691141434, 0.0, 9.869950810185184, 8.012375460255576, 6.309930887825625, 4.836459259259259, 7.533017489711934, 3.839550411522634, 3.349210758377425, 2.5115003429355283, 3.666049382716049, 2.86409624094203, 1.6046153549382718, 0.727984916367981, 0.0), (9.92903125186378, 7.967465031638567, 8.008289537608597, 8.571264618558777, 7.320560665967347, 3.5077238098867043, 3.3346650951189805, 2.7310844383478132, 3.759291361835086, 1.6065332096075746, 1.2570326116919686, 0.7263998788695563, 0.0, 9.85256505058299, 7.990398667565118, 6.285163058459842, 4.819599628822722, 7.518582723670172, 3.823518213686939, 3.3346650951189805, 2.5055170070619317, 3.6602803329836733, 2.8570882061862592, 1.6016579075217197, 0.7243150028762335, 0.0), (9.90051142124411, 7.926974783176247, 7.993335976794697, 8.550004403180354, 7.308796632507598, 3.499255385357923, 3.320071478522822, 2.719788332571255, 3.7520323693034596, 1.6008983565991557, 1.2520440762399827, 0.7243856239822234, 0.0, 9.834857788923182, 7.968241863804456, 6.260220381199914, 4.8026950697974655, 7.504064738606919, 3.8077036655997567, 3.320071478522822, 2.4994681323985164, 3.654398316253799, 2.850001467726785, 1.5986671953589393, 0.7206340711978407, 0.0), (9.871576489533012, 7.886382317801674, 7.978219521604939, 8.528523777173913, 7.296822803195352, 3.4907122770919066, 3.3054352111214853, 2.708652263374486, 3.7447381687242793, 1.5952486564996373, 1.247027777777778, 0.7223559670781895, 0.0, 9.816854745370371, 7.945915637860083, 6.23513888888889, 4.785745969498911, 7.489476337448559, 3.7921131687242804, 3.3054352111214853, 2.4933659122085046, 3.648411401597676, 2.8428412590579715, 1.595643904320988, 0.7169438470728796, 0.0), (9.842272260988848, 7.845706618655694, 7.962943601394604, 8.506838441022543, 7.284655316173109, 3.482111555657166, 3.2907615954475067, 2.697680803231215, 3.7374151615607376, 1.589584238414159, 1.2419909228739638, 0.7203118707834976, 0.0, 9.798581640089164, 7.923430578618472, 6.209954614369819, 4.768752715242476, 7.474830323121475, 3.7767531245237014, 3.2907615954475067, 2.4872225397551184, 3.6423276580865545, 2.8356128136741816, 1.5925887202789208, 0.7132460562414268, 0.0), (9.812644539869984, 7.804966668879153, 7.947511645518976, 8.48496409520934, 7.272310309583368, 3.4734702916222124, 3.276055934033421, 2.68687852461515, 3.7300697492760246, 1.5839052314478608, 1.236940718097151, 0.7182542977241916, 0.0, 9.78006419324417, 7.900797274966106, 6.184703590485755, 4.751715694343581, 7.460139498552049, 3.7616299344612103, 3.276055934033421, 2.48105020830158, 3.636155154791684, 2.8283213650697805, 1.589502329103795, 0.7095424244435595, 0.0), (9.782739130434782, 7.764181451612902, 7.931927083333334, 8.462916440217391, 7.259803921568627, 3.464805555555556, 3.261323529411765, 2.67625, 3.7227083333333333, 1.5782117647058826, 1.2318843700159492, 0.7161842105263159, 0.0, 9.761328125, 7.878026315789473, 6.159421850079745, 4.734635294117647, 7.445416666666667, 3.7467500000000005, 3.261323529411765, 2.474861111111111, 3.6299019607843137, 2.820972146739131, 1.5863854166666669, 0.7058346774193549, 0.0), (9.752601836941611, 7.723369949997786, 7.916193344192958, 8.44071117652979, 7.247152290271389, 3.4561344180257074, 3.2465696841150726, 2.665799801859473, 3.715337315195854, 1.572503967293365, 1.2268290851989685, 0.714102571815914, 0.0, 9.742399155521262, 7.8551282899750525, 6.134145425994841, 4.717511901880093, 7.430674630391708, 3.732119722603262, 3.2465696841150726, 2.468667441446934, 3.6235761451356945, 2.8135703921765973, 1.5832386688385918, 0.7021245409088898, 0.0), (9.722278463648834, 7.682551147174654, 7.900313857453133, 8.41836400462963, 7.234371553834153, 3.4474739496011786, 3.231799700675881, 2.6555325026672763, 3.7079630963267793, 1.5667819683154474, 1.2217820702148188, 0.7120103442190294, 0.0, 9.723303004972564, 7.832113786409323, 6.108910351074094, 4.7003459049463405, 7.415926192653559, 3.7177455037341867, 3.231799700675881, 2.4624813925722706, 3.6171857769170765, 2.806121334876544, 1.5800627714906266, 0.6984137406522414, 0.0), (9.691814814814816, 7.641744026284349, 7.884292052469135, 8.395890625, 7.221477850399419, 3.4388412208504806, 3.217018881626725, 2.645452674897119, 3.7005920781893, 1.56104589687727, 1.2167505316321108, 0.7099084903617069, 0.0, 9.704065393518519, 7.808993393978774, 6.083752658160553, 4.683137690631809, 7.4011841563786, 3.703633744855967, 3.217018881626725, 2.4563151577503435, 3.6107389251997093, 2.798630208333334, 1.5768584104938272, 0.6947040023894864, 0.0), (9.661256694697919, 7.60096757046772, 7.8681313585962505, 8.373306738123993, 7.208487318109686, 3.430253302342123, 3.20223252950014, 2.63556489102271, 3.6932306622466085, 1.5552958820839726, 1.211741676019454, 0.7077979728699895, 0.0, 9.68471204132373, 7.785777701569883, 6.058708380097269, 4.6658876462519165, 7.386461324493217, 3.689790847431794, 3.20223252950014, 2.4501809302443736, 3.604243659054843, 2.7911022460413317, 1.5736262717192502, 0.6909970518607019, 0.0), (9.63064990755651, 7.560240762865614, 7.851835205189758, 8.350628044484703, 7.195416095107452, 3.421727264644617, 3.187445946828663, 2.6258737235177567, 3.685885249961896, 1.5495320530406955, 1.2067627099454585, 0.7056797543699213, 0.0, 9.665268668552812, 7.762477298069133, 6.033813549727292, 4.648596159122086, 7.371770499923792, 3.6762232129248593, 3.187445946828663, 2.4440909033175835, 3.597708047553726, 2.783542681494901, 1.5703670410379515, 0.687294614805965, 0.0), (9.600040257648953, 7.519582586618876, 7.835407021604938, 8.327870244565217, 7.182280319535221, 3.4132801783264752, 3.172664436144829, 2.6163837448559675, 3.6785622427983538, 1.5437545388525786, 1.201820839978735, 0.7035547974875461, 0.0, 9.64576099537037, 7.739102772363006, 6.009104199893674, 4.631263616557734, 7.3571244855967075, 3.662937242798354, 3.172664436144829, 2.4380572702331964, 3.5911401597676105, 2.775956748188406, 1.5670814043209877, 0.6835984169653525, 0.0), (9.569473549233614, 7.479012024868357, 7.818850237197074, 8.305049038848631, 7.1690961295354905, 3.404929113956206, 3.1578932999811724, 2.6070995275110502, 3.6712680422191735, 1.5379634686247616, 1.1969232726878927, 0.701424064848908, 0.0, 9.626214741941014, 7.715664713337986, 5.9846163634394625, 4.613890405874283, 7.342536084438347, 3.6499393385154706, 3.1578932999811724, 2.4320922242544327, 3.5845480647677452, 2.768349679616211, 1.5637700474394147, 0.6799101840789417, 0.0), (9.538995586568856, 7.438548060754901, 7.802168281321446, 8.282180127818036, 7.155879663250759, 3.3966911421023225, 3.1431378408702306, 2.5980256439567144, 3.6640090496875475, 1.532158971462385, 1.1920772146415421, 0.6992885190800504, 0.0, 9.606655628429355, 7.692173709880553, 5.96038607320771, 4.596476914387154, 7.328018099375095, 3.6372359015394005, 3.1431378408702306, 2.426207958644516, 3.5779398316253794, 2.760726709272679, 1.5604336562642893, 0.6762316418868093, 0.0), (9.508652173913044, 7.398209677419356, 7.785364583333334, 8.259279211956523, 7.1426470588235285, 3.3885833333333335, 3.1284033613445374, 2.589166666666667, 3.656791666666667, 1.5263411764705888, 1.1872898724082936, 0.6971491228070177, 0.0, 9.587109375, 7.668640350877193, 5.936449362041468, 4.579023529411765, 7.313583333333334, 3.624833333333334, 3.1284033613445374, 2.4204166666666667, 3.5713235294117642, 2.7530930706521746, 1.557072916666667, 0.6725645161290325, 0.0), (9.478489115524543, 7.358015858002567, 7.768442572588021, 8.23636199174718, 7.129414454396299, 3.3806227582177515, 3.113695163936631, 2.580527168114617, 3.6496222946197223, 1.5205102127545123, 1.1825684525567568, 0.6950068386558532, 0.0, 9.567601701817559, 7.645075225214384, 5.9128422627837836, 4.561530638263536, 7.299244589239445, 3.612738035360464, 3.113695163936631, 2.4147305415841083, 3.5647072271981495, 2.7454539972490606, 1.5536885145176043, 0.668910532545688, 0.0), (9.448552215661715, 7.317985585645383, 7.751405678440788, 8.213444167673108, 7.116197988111569, 3.3728264873240867, 3.0990185511790447, 2.5721117207742723, 3.6425073350099066, 1.5146662094192962, 1.177920161655542, 0.6928626292526012, 0.0, 9.54815832904664, 7.621488921778612, 5.8896008082777085, 4.543998628257887, 7.285014670019813, 3.600956409083981, 3.0990185511790447, 2.409161776660062, 3.5580989940557846, 2.737814722557703, 1.5502811356881578, 0.6652714168768531, 0.0), (9.41888727858293, 7.278137843488651, 7.7342573302469155, 8.190541440217391, 7.103013798111837, 3.365211591220851, 3.0843788256043156, 2.5639248971193416, 3.635453189300412, 1.5088092955700803, 1.173352206273259, 0.6907174572233054, 0.0, 9.528804976851852, 7.597892029456357, 5.866761031366295, 4.526427886710239, 7.270906378600824, 3.5894948559670783, 3.0843788256043156, 2.4037225651577505, 3.5515068990559184, 2.7301804800724643, 1.546851466049383, 0.6616488948626047, 0.0), (9.38954010854655, 7.238491614673214, 7.717000957361684, 8.167669509863124, 7.089878022539605, 3.357795140476554, 3.069781289744979, 2.5559712696235333, 3.628466258954427, 1.5029396003120044, 1.1688717929785184, 0.6885722851940093, 0.0, 9.509567365397805, 7.574295137134101, 5.844358964892591, 4.5088188009360115, 7.256932517908854, 3.5783597774729463, 3.069781289744979, 2.3984251003403956, 3.5449390112698027, 2.7225565032877084, 1.543400191472337, 0.6580446922430195, 0.0), (9.360504223703044, 7.1991320672204555, 7.699681523543391, 8.14487541186903, 7.076783786782469, 3.3505906987084666, 3.0552629818283847, 2.548271903658586, 3.6215709370862066, 1.4970761841531826, 1.1644873176921446, 0.6864327447087024, 0.0, 9.490443900843221, 7.550760191795725, 5.8224365884607225, 4.491228552459547, 7.243141874172413, 3.5675806651220205, 3.0552629818283847, 2.3932790705060474, 3.5383918933912346, 2.7149584706230105, 1.5399363047086783, 0.654466551565496, 0.0), (9.331480897900065, 7.16044741823174, 7.682538062518016, 8.122342065958001, 7.063595569710884, 3.343581854975776, 3.0410091042052896, 2.5409213581271333, 3.6148730119043533, 1.491328791978196, 1.1602073895188663, 0.684326014342748, 0.0, 9.471275414160035, 7.5275861577702265, 5.801036947594331, 4.473986375934587, 7.229746023808707, 3.557289901377987, 3.0410091042052896, 2.3882727535541255, 3.531797784855442, 2.7074473553193346, 1.5365076125036032, 0.6509497652937947, 0.0), (9.302384903003995, 7.122451598792792, 7.665580777256098, 8.100063378886334, 7.050271785259067, 3.3367503822909463, 3.027029825095781, 2.533917772616129, 3.6083749928895963, 1.4857063319970194, 1.1560257519045158, 0.6822531318799043, 0.0, 9.452006631660376, 7.5047844506789465, 5.7801287595225785, 4.457118995991058, 7.216749985779193, 3.5474848816625806, 3.027029825095781, 2.3833931302078186, 3.5251358926295335, 2.700021126295445, 1.5331161554512198, 0.647495599890254, 0.0), (9.273179873237634, 7.0850892578507265, 7.648776824986561, 8.077999612699802, 7.036792350922519, 3.330080178417474, 3.0133024087639466, 2.5272417970412473, 3.6020604464092765, 1.480198339612387, 1.1519343218785802, 0.6802102664572789, 0.0, 9.43260725975589, 7.482312931030067, 5.7596716093929015, 4.44059501883716, 7.204120892818553, 3.5381385158577463, 3.0133024087639466, 2.3786286988696244, 3.5183961754612594, 2.6926665375666015, 1.5297553649973124, 0.6440990234409752, 0.0), (9.243829442823772, 7.04830504435266, 7.632093362938321, 8.056111029444182, 7.02313718419674, 3.323555141118853, 2.9998041194738763, 2.5208740813181603, 3.5959129388307343, 1.4747943502270324, 1.1479250164705472, 0.6781935872119792, 0.0, 9.413047004858225, 7.46012945933177, 5.739625082352736, 4.424383050681096, 7.1918258776614685, 3.5292237138454245, 2.9998041194738763, 2.3739679579420376, 3.51156859209837, 2.6853703431480613, 1.5264186725876645, 0.6407550040320601, 0.0), (9.214297245985211, 7.0120436072457135, 7.615497548340306, 8.03435789116525, 7.009286202577227, 3.317159168158581, 2.9865122214896576, 2.51479527536254, 3.5899160365213114, 1.46948389924369, 1.143989752709904, 0.6761992632811126, 0.0, 9.393295573379024, 7.438191896092237, 5.71994876354952, 4.40845169773107, 7.179832073042623, 3.5207133855075567, 2.9865122214896576, 2.369399405827558, 3.5046431012886137, 2.678119297055084, 1.5230995096680613, 0.6374585097496104, 0.0), (9.184546916944742, 6.976249595477001, 7.598956538421437, 8.012700459908778, 6.99521932355948, 3.3108761573001524, 2.973403979075378, 2.5089860290900607, 3.5840533058483475, 1.4642565220650932, 1.1401204476261382, 0.6742234638017862, 0.0, 9.373322671729932, 7.416458101819647, 5.70060223813069, 4.392769566195279, 7.168106611696695, 3.5125804407260848, 2.973403979075378, 2.3649115409286803, 3.49760966177974, 2.670900153302927, 1.5197913076842873, 0.6342045086797276, 0.0), (9.154542089925162, 6.940867657993644, 7.582437490410635, 7.991098997720545, 6.980916464638998, 3.304690006307063, 2.9604566564951265, 2.5034269924163928, 3.578308313179186, 1.4591017540939766, 1.136309018248736, 0.6722623579111081, 0.0, 9.353098006322597, 7.394885937022188, 5.68154509124368, 4.377305262281929, 7.156616626358372, 3.50479778938295, 2.9604566564951265, 2.360492861647902, 3.490458232319499, 2.663699665906849, 1.516487498082127, 0.6309879689085133, 0.0), (9.124246399149268, 6.90584244374276, 7.565907561536823, 7.969513766646325, 6.966357543311279, 3.29858461294281, 2.94764751801299, 2.4980988152572112, 3.572664624881166, 1.4540091307330743, 1.1325473816071863, 0.6703121147461852, 0.0, 9.33259128356866, 7.373433262208036, 5.662736908035931, 4.362027392199222, 7.145329249762332, 3.497338341360096, 2.94764751801299, 2.356131866387721, 3.4831787716556395, 2.656504588882109, 1.5131815123073646, 0.6278038585220692, 0.0), (9.093623478839854, 6.871118601671464, 7.549333909028926, 7.947905028731892, 6.951522477071823, 3.292543874970886, 2.9349538278930587, 2.492982147528187, 3.5671058073216297, 1.4489681873851195, 1.1288274547309753, 0.6683689034441251, 0.0, 9.31177220987977, 7.352057937885375, 5.644137273654876, 4.346904562155357, 7.1342116146432595, 3.490175006539462, 2.9349538278930587, 2.351817053550633, 3.4757612385359113, 2.6493016762439643, 1.5098667818057854, 0.6246471456064968, 0.0), (9.062636963219719, 6.836640780726876, 7.532683690115864, 7.92623304602302, 6.936391183416127, 3.28655169015479, 2.9223528503994194, 2.4880576391449933, 3.5616154268679177, 1.443968459452847, 1.1251411546495909, 0.6664288931420351, 0.0, 9.290610491667572, 7.330717824562385, 5.625705773247954, 4.33190537835854, 7.123230853735835, 3.4832806948029904, 2.9223528503994194, 2.3475369215391355, 3.4681955917080636, 2.642077682007674, 1.5065367380231727, 0.621512798247898, 0.0), (9.031250486511654, 6.802353629856113, 7.515924062026559, 7.90445808056549, 6.920943579839691, 3.2805919562580144, 2.9098218497961597, 2.483305940023303, 3.5561770498873715, 1.4389994823389904, 1.1214803983925201, 0.664488252977023, 0.0, 9.269075835343711, 7.309370782747252, 5.6074019919625995, 4.316998447016971, 7.112354099774743, 3.476628316032624, 2.9098218497961597, 2.3432799687557244, 3.4604717899198456, 2.634819360188497, 1.5031848124053118, 0.618395784532374, 0.0), (8.999427682938459, 6.768201798006293, 7.499022181989936, 7.88254039440507, 6.905159583838015, 3.274648571044058, 2.8973380903473696, 2.478707700078788, 3.5507742427473308, 1.4340507914462837, 1.1178371029892504, 0.6625431520861957, 0.0, 9.247137947319828, 7.2879746729481525, 5.5891855149462515, 4.30215237433885, 7.1015484854946616, 3.470190780110303, 2.8973380903473696, 2.3390346936028985, 3.4525797919190073, 2.6275134648016905, 1.4998044363979874, 0.6152910725460268, 0.0), (8.967132186722928, 6.734129934124536, 7.481945207234916, 7.8604402495875405, 6.889019112906595, 3.2687054322764144, 2.884878836317135, 2.474243569227122, 3.545390571815139, 1.4291119221774609, 1.1142031854692689, 0.6605897596066612, 0.0, 9.224766534007578, 7.266487355673273, 5.571015927346345, 4.287335766532382, 7.090781143630278, 3.463940996917971, 2.884878836317135, 2.334789594483153, 3.4445095564532977, 2.620146749862514, 1.4963890414469831, 0.6121936303749579, 0.0), (8.93432763208786, 6.7000826871579555, 7.464660294990421, 7.838117908158674, 6.8725020845409315, 3.26274643771858, 2.872421351969547, 2.469894197383977, 3.5400096034581354, 1.4241724099352562, 1.1105705628620632, 0.6586242446755264, 0.0, 9.201931301818599, 7.244866691430789, 5.552852814310316, 4.272517229805768, 7.080019206916271, 3.457851876337568, 2.872421351969547, 2.3305331697989855, 3.4362510422704657, 2.612705969386225, 1.4929320589980841, 0.6090984261052688, 0.0), (8.900977653256046, 6.666004706053673, 7.447134602485375, 7.815533632164248, 6.855588416236526, 3.2567554851340508, 2.859942901568691, 2.465640234465026, 3.534614904043661, 1.4192217901224033, 1.1069311521971208, 0.6566427764298991, 0.0, 9.178601957164537, 7.223070540728888, 5.534655760985604, 4.257665370367209, 7.069229808087322, 3.4518963282510366, 2.859942901568691, 2.3262539179528936, 3.427794208118263, 2.6051778773880834, 1.4894269204970751, 0.6060004278230613, 0.0), (8.867045884450281, 6.631840639758805, 7.4293352869486995, 7.792647683650037, 6.838258025488874, 3.250716472286322, 2.8474207493786565, 2.4614623303859418, 3.529190039939058, 1.4142495981416365, 1.1032768705039286, 0.6546415240068865, 0.0, 9.154748206457038, 7.20105676407575, 5.516384352519642, 4.242748794424909, 7.058380079878116, 3.4460472625403185, 2.8474207493786565, 2.321940337347373, 3.419129012744437, 2.597549227883346, 1.4858670573897401, 0.6028946036144368, 0.0), (8.832495959893366, 6.5975351372204685, 7.411229505609316, 7.769420324661814, 6.820490829793475, 3.2446132969388883, 2.8348321596635313, 2.457341135062396, 3.5237185775116666, 1.4092453693956895, 1.0995996348119743, 0.6526166565435961, 0.0, 9.130339756107748, 7.178783221979556, 5.4979981740598705, 4.2277361081870675, 7.047437155023333, 3.4402775890873545, 2.8348321596635313, 2.3175809263849203, 3.4102454148967376, 2.589806774887272, 1.4822459011218634, 0.5997759215654973, 0.0), (8.797291513808094, 6.563032847385783, 7.392784415696151, 7.7458118172453565, 6.802266746645829, 3.238429856855247, 2.8221543966874045, 2.4532572984100627, 3.5181840831288285, 1.4041986392872965, 1.0958913621507447, 0.6505643431771354, 0.0, 9.105346312528312, 7.156207774948489, 5.479456810753724, 4.212595917861889, 7.036368166257657, 3.4345602177740875, 2.8221543966874045, 2.3131641834680337, 3.4011333733229145, 2.5819372724151193, 1.4785568831392302, 0.596639349762344, 0.0), (8.76139618041726, 6.528278419201865, 7.373967174438122, 7.72178242344644, 6.783565693541435, 3.2321500497988933, 2.8093647247143627, 2.449191470344614, 3.5125701231578845, 1.3990989432191914, 1.0921439695497275, 0.6484807530446118, 0.0, 9.079737582130376, 7.13328828349073, 5.460719847748638, 4.1972968296575734, 7.025140246315769, 3.4288680584824593, 2.8093647247143627, 2.3086786069992096, 3.3917828467707176, 2.573927474482147, 1.4747934348876244, 0.5934798562910787, 0.0), (8.724773593943663, 6.493216501615832, 7.354744939064153, 7.697292405310838, 6.764367587975791, 3.225757773533322, 2.7964404080084946, 2.445124300781722, 3.5068602639661752, 1.3939358165941083, 1.0883493740384103, 0.6463620552831327, 0.0, 9.053483271325586, 7.10998260811446, 5.44174687019205, 4.181807449782324, 7.0137205279323505, 3.4231740210944106, 2.7964404080084946, 2.3041126953809443, 3.3821837939878954, 2.5657641351036133, 1.4709489878128308, 0.590292409237803, 0.0), (8.687387388610095, 6.457791743574804, 7.33508486680317, 7.672302024884328, 6.7446523474443945, 3.2192369258220297, 2.7833587108338893, 2.44103643963706, 3.5010380719210428, 1.388698794814781, 1.0844994926462799, 0.6442044190298056, 0.0, 9.026553086525583, 7.0862486093278605, 5.422497463231399, 4.166096384444343, 7.0020761438420855, 3.417451015491884, 2.7833587108338893, 2.2994549470157355, 3.3723261737221972, 2.557434008294776, 1.4670169733606342, 0.5870719766886187, 0.0), (8.649201198639354, 6.421948794025897, 7.314954114884091, 7.646771544212684, 6.724399889442747, 3.212571404428512, 2.770096897454634, 2.4369085368263, 3.4950871133898262, 1.3833774132839443, 1.0805862424028239, 0.6420040134217377, 0.0, 8.99891673414202, 7.0620441476391145, 5.402931212014119, 4.150132239851832, 6.9901742267796525, 3.41167195155682, 2.770096897454634, 2.2946938603060802, 3.3621999447213735, 2.548923848070895, 1.4629908229768183, 0.583813526729627, 0.0), (8.610178658254235, 6.385632301916229, 7.294319840535841, 7.62066122534168, 6.703590131466344, 3.205745107116265, 2.7566322321348173, 2.4327212422651154, 3.4889909547398688, 1.3779612074043308, 1.0766015403375297, 0.6397570075960368, 0.0, 8.970543920586536, 7.037327083556404, 5.383007701687648, 4.133883622212991, 6.9779819094797375, 3.4058097391711617, 2.7566322321348173, 2.289817933654475, 3.351795065733172, 2.540220408447227, 1.4588639681071682, 0.58051202744693, 0.0), (8.570283401677534, 6.348786916192918, 7.273149200987342, 7.593931330317094, 6.682202991010689, 3.1987419316487826, 2.7429419791385277, 2.428455205869179, 3.4827331623385107, 1.3724397125786756, 1.0725373034798844, 0.63745957068981, 0.0, 8.941404352270776, 7.012055277587909, 5.362686517399421, 4.117319137736026, 6.965466324677021, 3.3998372882168506, 2.7429419791385277, 2.284815665463416, 3.3411014955053444, 2.5313104434390317, 1.4546298401974684, 0.577162446926629, 0.0), (8.529479063132047, 6.311357285803083, 7.251409353467515, 7.566542121184698, 6.660218385571278, 3.1915457757895624, 2.729003402729852, 2.4240910775541624, 3.4762973025530934, 1.3668024642097119, 1.0683854488593754, 0.6351078718401649, 0.0, 8.91146773560639, 6.986186590241813, 5.341927244296877, 4.100407392629135, 6.952594605106187, 3.3937275085758274, 2.729003402729852, 2.2796755541354017, 3.330109192785639, 2.5221807070615663, 1.450281870693503, 0.5737597532548258, 0.0), (8.487729276840568, 6.273288059693839, 7.229067455205284, 7.538453859990269, 6.63761623264361, 3.184140537302099, 2.7147937671728797, 2.4196095072357395, 3.469666941750957, 1.3610389977001744, 1.0641378935054902, 0.6326980801842089, 0.0, 8.880703777005019, 6.959678882026297, 5.32068946752745, 4.083116993100523, 6.939333883501914, 3.3874533101300353, 2.7147937671728797, 2.274386098072928, 3.318808116321805, 2.51281795333009, 1.4458134910410567, 0.5702989145176218, 0.0), (8.444997677025897, 6.234523886812306, 7.206090663429573, 7.509626808779583, 6.614376449723186, 3.176510113949888, 2.7002903367316984, 2.4149911448295818, 3.462825646299444, 1.3551388484527966, 1.0597865544477159, 0.6302263648590494, 0.0, 8.849082182878314, 6.932490013449542, 5.298932772238579, 4.0654165453583895, 6.925651292598888, 3.3809876027614147, 2.7002903367316984, 2.2689357956784915, 3.307188224861593, 2.5032089362598615, 1.4412181326859146, 0.5667748988011189, 0.0), (8.40124789791083, 6.195009416105602, 7.1824461353693, 7.480021229598415, 6.590478954305501, 3.1686384034964257, 2.6854703756703975, 2.4102166402513627, 3.455756982565893, 1.349091551870313, 1.0553233487155398, 0.6276888950017938, 0.0, 8.816572659637913, 6.904577845019731, 5.276616743577699, 4.047274655610939, 6.911513965131786, 3.3743032963519077, 2.6854703756703975, 2.26331314535459, 3.2952394771527507, 2.4933404098661387, 1.4364892270738603, 0.5631826741914184, 0.0), (8.356443573718156, 6.154689296520844, 7.158101028253392, 7.44959738449254, 6.565903663886058, 3.1605093037052074, 2.670311148253063, 2.4052666434167547, 3.448444516917647, 1.3428866433554572, 1.0507401933384497, 0.6250818397495496, 0.0, 8.783144913695466, 6.875900237245045, 5.253700966692247, 4.028659930066371, 6.896889033835294, 3.3673733007834565, 2.670311148253063, 2.2575066455037196, 3.282951831943029, 2.4831991281641805, 1.4316202056506786, 0.5595172087746222, 0.0), (8.310548338670674, 6.113508177005149, 7.133022499310772, 7.418315535507731, 6.540630495960352, 3.152106712339729, 2.6547899187437842, 2.4001218042414303, 3.4408718157220486, 1.3365136583109634, 1.0460290053459322, 0.6224013682394242, 0.0, 8.748768651462617, 6.846415050633665, 5.230145026729661, 4.009540974932889, 6.881743631444097, 3.360170525938002, 2.6547899187437842, 2.251504794528378, 3.270315247980176, 2.472771845169244, 1.4266044998621543, 0.5557734706368318, 0.0), (8.263525826991184, 6.071410706505636, 7.107177705770357, 7.386135944689768, 6.514639368023886, 3.1434145271634857, 2.6388839514066493, 2.3947627726410623, 3.4330224453464364, 1.3299621321395652, 1.0411817017674754, 0.619643649608525, 0.0, 8.713413579351014, 6.816080145693774, 5.205908508837376, 3.9898863964186946, 6.866044890692873, 3.3526678816974873, 2.6388839514066493, 2.245296090831061, 3.257319684011943, 2.4620453148965895, 1.4214355411540713, 0.5519464278641489, 0.0), (8.215339672902477, 6.0283415339694235, 7.080533804861075, 7.353018874084421, 6.487910197572155, 3.134416645939974, 2.6225705105057466, 2.3891701985313234, 3.424879972158151, 1.3232216002439972, 1.036190199632566, 0.6168048529939595, 0.0, 8.6770494037723, 6.784853382933553, 5.180950998162829, 3.969664800731991, 6.849759944316302, 3.344838277943853, 2.6225705105057466, 2.238869032814267, 3.2439550987860777, 2.451006291361474, 1.4161067609722149, 0.548031048542675, 0.0), (8.16595351062735, 5.984245308343629, 7.053057953811847, 7.318924585737469, 6.460422902100661, 3.1250969664326886, 2.605826860305165, 2.3833247318278863, 3.4164279625245353, 1.3162815980269928, 1.0310464159706916, 0.6138811475328351, 0.0, 8.639645831138118, 6.7526926228611845, 5.155232079853457, 3.948844794080978, 6.832855925049071, 3.3366546245590407, 2.605826860305165, 2.2322121188804918, 3.2302114510503306, 2.439641528579157, 1.4106115907623695, 0.5440223007585119, 0.0), (8.1153309743886, 5.93906667857537, 7.024717309851591, 7.283813341694685, 6.4321573991049, 3.1154393864051255, 2.5886302650689905, 2.3772070224464232, 3.40764998281293, 1.3091316608912866, 1.0257422678113395, 0.6108687023622593, 0.0, 8.601172567860118, 6.719555725984851, 5.1287113390566965, 3.9273949826738592, 6.81529996562586, 3.3280898314249923, 2.5886302650689905, 2.2253138474322327, 3.21607869955245, 2.4279377805648954, 1.4049434619703185, 0.5399151525977609, 0.0), (8.063435698409021, 5.892750293611764, 6.9954790302092364, 7.247645404001847, 6.403093606080374, 3.105427803620781, 2.5709579890613132, 2.3707977203026074, 3.398529599390676, 1.301761324239612, 1.0202696721839972, 0.6077636866193392, 0.0, 8.561599320349941, 6.68540055281273, 5.101348360919985, 3.905283972718835, 6.797059198781352, 3.3191168084236504, 2.5709579890613132, 2.2181627168719866, 3.201546803040187, 2.4158818013339496, 1.3990958060418472, 0.535704572146524, 0.0), (8.010231316911412, 5.845240802399927, 6.965310272113703, 7.210381034704727, 6.37321144052258, 3.0950461158431497, 2.5527872965462204, 2.3640774753121114, 3.3890503786251127, 1.2941601234747035, 1.0146205461181517, 0.6045622694411826, 0.0, 8.520895795019237, 6.650184963853008, 5.073102730590758, 3.88248037042411, 6.778100757250225, 3.3097084654369557, 2.5527872965462204, 2.21074722560225, 3.18660572026129, 2.403460344901576, 1.3930620544227408, 0.5313855274909026, 0.0), (7.955681464118564, 5.796482853886981, 6.934178192793912, 7.171980495849104, 6.342490819927017, 3.0842782208357287, 2.5340954517878003, 2.3570269373906068, 3.3791958868835836, 1.2863175939992944, 1.0087868066432906, 0.601260619964897, 0.0, 8.479031698279647, 6.6138668196138655, 5.043934033216452, 3.8589527819978824, 6.758391773767167, 3.2998377123468496, 2.5340954517878003, 2.2030558720255207, 3.1712454099635083, 2.390660165283035, 1.3868356385587826, 0.5269529867169983, 0.0), (7.899749774253275, 5.746421097020041, 6.902049949478785, 7.132404049480748, 6.310911661789184, 3.0731080163620113, 2.5148597190501416, 2.3496267564537683, 3.3689496905334293, 1.2782232712161197, 1.002760370788901, 0.5978549073275894, 0.0, 8.435976736542818, 6.576403980603482, 5.013801853944504, 3.8346698136483583, 6.737899381066859, 3.2894774590352753, 2.5148597190501416, 2.1950771545442938, 3.155455830894592, 2.377468016493583, 1.3804099898957571, 0.5224019179109128, 0.0), (7.842399881538343, 5.6950001807462245, 6.868892699397251, 7.091611957645439, 6.278453883604579, 3.0615194001854955, 2.4950573625973322, 2.3418575824172674, 3.3582953559419897, 1.2698666905279126, 0.9965331555844703, 0.5943413006663675, 0.0, 8.391700616220398, 6.537754307330042, 4.982665777922351, 3.809600071583737, 6.716590711883979, 3.2786006153841742, 2.4950573625973322, 2.1867995715610684, 3.1392269418022893, 2.36387065254848, 1.3737785398794504, 0.5177272891587478, 0.0), (7.78359542019656, 5.642164754012652, 6.834673599778224, 7.049564482388949, 6.245097402868703, 3.049496270069676, 2.4746656466934596, 2.333700065196776, 3.3472164494766075, 1.2612373873374074, 0.9900970780594861, 0.5907159691183387, 0.0, 8.346173043724027, 6.497875660301725, 4.95048539029743, 3.783712162012222, 6.694432898953215, 3.2671800912754865, 2.4746656466934596, 2.17821162147834, 3.1225487014343516, 2.3498548274629836, 1.3669347199556448, 0.5129240685466048, 0.0), (7.723300024450729, 5.587859465766439, 6.7993598078506325, 7.006221885757057, 6.210822137077053, 3.0370225237780484, 2.453661835602614, 2.325134854707968, 3.3356965375046217, 1.2523248970473384, 0.9834440552434354, 0.5869750818206104, 0.0, 8.299363725465357, 6.456725900026714, 4.917220276217177, 3.7569746911420143, 6.671393075009243, 3.2551887965911552, 2.453661835602614, 2.169301802698606, 3.1054110685385266, 2.335407295252353, 1.3598719615701265, 0.5079872241605854, 0.0), (7.6614773285236355, 5.532028964954703, 6.762918480843396, 6.961544429795533, 6.175608003725131, 3.0240820590741087, 2.4320231935888805, 2.316142600866515, 3.323719186393376, 1.2431187550604388, 0.9765660041658056, 0.5831148079102902, 0.0, 8.251242367856026, 6.414262887013191, 4.882830020829028, 3.7293562651813157, 6.647438372786752, 3.242599641213121, 2.4320231935888805, 2.160058613624363, 3.0878040018625654, 2.320514809931845, 1.3525836961686795, 0.5029117240867913, 0.0), (7.598090966638081, 5.474617900524564, 6.725316775985439, 6.915492376550157, 6.139434920308432, 3.0106587737213526, 2.40972698491635, 2.3067039535880913, 3.3112679625102084, 1.2336084967794434, 0.9694548418560842, 0.5791313165244852, 0.0, 8.201778677307685, 6.370444481769337, 4.84727420928042, 3.7008254903383295, 6.622535925020417, 3.2293855350233276, 2.40972698491635, 2.150470552658109, 3.069717460154216, 2.3051641255167192, 1.3450633551970879, 0.49769253641132405, 0.0), (7.533104573016862, 5.415570921423138, 6.686521850505682, 6.868025988066703, 6.102282804322456, 2.9967365654832747, 2.3867504738491094, 2.2967995627883675, 3.2983264322224626, 1.2237836576070855, 0.9621024853437583, 0.5750207768003032, 0.0, 8.150942360231976, 6.325228544803333, 4.810512426718791, 3.671350972821256, 6.596652864444925, 3.2155193879037145, 2.3867504738491094, 2.140526118202339, 3.051141402161228, 2.2893419960222348, 1.3373043701011365, 0.4923246292202853, 0.0), (7.464680946405239, 5.353748694041236, 6.644659961585297, 6.817327186238432, 6.062454070580665, 2.9814309445183143, 2.3625533604639286, 2.285748730145572, 3.2838873638663655, 1.213341479072786, 0.9542659587564906, 0.570633297016195, 0.0, 8.096485859415345, 6.276966267178143, 4.771329793782452, 3.640024437218358, 6.567774727732731, 3.200048222203801, 2.3625533604639286, 2.129593531798796, 3.0312270352903323, 2.2724423954128112, 1.3289319923170593, 0.48670442673102154, 0.0), (7.382286766978402, 5.282809876299521, 6.58894818200249, 6.7529828690913405, 6.010127539854418, 2.95965229467081, 2.334106381692858, 2.2696723053184926, 3.2621424204073812, 1.2005702485246865, 0.9445694892698324, 0.5651135436402591, 0.0, 8.025427646920194, 6.216248980042849, 4.722847446349162, 3.601710745574059, 6.5242848408147625, 3.17754122744589, 2.334106381692858, 2.114037353336293, 3.005063769927209, 2.250994289697114, 1.3177896364004982, 0.4802554432999565, 0.0), (7.284872094904309, 5.202172001162321, 6.51826746496324, 6.673933132806645, 5.94428008756453, 2.9308657560278157, 2.301121874191892, 2.248166328969728, 3.2324750757428835, 1.1853014129657236, 0.9328765847682567, 0.5583751624073207, 0.0, 7.93642060889358, 6.142126786480525, 4.664382923841283, 3.55590423889717, 6.464950151485767, 3.147432860557619, 2.301121874191892, 2.0934755400198686, 2.972140043782265, 2.2246443776022153, 1.3036534929926482, 0.47292472737839286, 0.0), (7.17322205458596, 5.11236079574043, 6.4333724765919245, 6.5809293778175455, 5.865595416188075, 2.895420057582683, 2.263840723003438, 2.2215002221290754, 3.1952765889996724, 1.1676645482927346, 0.9192902757666179, 0.5504806224089643, 0.0, 7.830374044819097, 6.055286846498606, 4.596451378833089, 3.5029936448782033, 6.390553177999345, 3.1101003109807053, 2.263840723003438, 2.0681571839876307, 2.9327977080940375, 2.1936431259391824, 1.2866744953183848, 0.46476007234003913, 0.0), (7.048121770426357, 5.013901987144635, 6.335017883012913, 6.474723004557244, 5.7747572282021356, 2.853663928328766, 2.2225038131699044, 2.1899434058263343, 3.150938219304545, 1.147789230402558, 0.9039135927797701, 0.5414923927367745, 0.0, 7.708197254180333, 5.956416320104519, 4.519567963898851, 3.4433676912076736, 6.30187643860909, 3.065920768156868, 2.2225038131699044, 2.03833137737769, 2.8873786141010678, 2.158241001519082, 1.2670035766025827, 0.4558092715586033, 0.0), (6.9103563668284975, 4.90732130248573, 6.223958350350585, 6.35606541345895, 5.672449226083792, 2.8059460972594175, 2.1773520297337003, 2.153765301091302, 3.0998512257843016, 1.1258050351920315, 0.8868495663225682, 0.5314729424823361, 0.0, 7.570799536460879, 5.846202367305696, 4.43424783161284, 3.3774151055760937, 6.199702451568603, 3.015271421527823, 2.1773520297337003, 2.0042472123281554, 2.836224613041896, 2.118688471152984, 1.2447916700701172, 0.4461201184077937, 0.0), (6.760710968195384, 4.793144468874502, 6.100948544729314, 6.225708004955863, 5.559355112310126, 2.752615293367992, 2.128626257737233, 2.113235328953779, 3.0424068675657407, 1.1018415385579923, 0.8682012269098661, 0.5204847407372336, 0.0, 7.419090191144328, 5.725332148109569, 4.34100613454933, 3.305524615673976, 6.0848137351314815, 2.9585294605352903, 2.128626257737233, 1.9661537809771372, 2.779677556155063, 2.075236001651955, 1.2201897089458629, 0.43574040626131844, 0.0), (6.599970698930017, 4.671897213421746, 5.966743132273474, 6.084402179481189, 5.436158589358215, 2.694020245647842, 2.076567382222911, 2.068622910443561, 2.9789964037756596, 1.0760283163972786, 0.8480716050565187, 0.5085902565930517, 0.0, 7.25397851771427, 5.594492822523568, 4.2403580252825925, 3.2280849491918353, 5.957992807551319, 2.8960720746209856, 2.076567382222911, 1.9243001754627442, 2.7180792946791077, 2.0281340598270634, 1.1933486264546949, 0.42471792849288603, 0.0), (6.428920683435397, 4.54410526323825, 5.82209677910744, 5.932899337468126, 5.3035433597051425, 2.630509683092322, 2.021416288233143, 2.020197466590449, 2.9100110935408576, 1.0484949446067282, 0.8265637312773799, 0.49585195914137514, 0.0, 7.0763738156542955, 5.454371550555126, 4.1328186563869, 3.145484833820184, 5.820022187081715, 2.8282764532266285, 2.021416288233143, 1.8789354879230868, 2.6517716798525712, 1.9776331124893758, 1.1644193558214881, 0.41310047847620457, 0.0), (6.248346046114523, 4.410294345434805, 5.667764151355587, 5.771950879349882, 5.1621931258279865, 2.562432334694784, 1.9634138608103373, 1.9682284184242402, 2.835842195988133, 1.0193709990831787, 0.8037806360873045, 0.48233231747378824, 0.0, 6.887185384447996, 5.30565549221167, 4.0189031804365225, 3.058112997249536, 5.671684391976266, 2.755519785793936, 1.9634138608103373, 1.8303088104962744, 2.5810965629139933, 1.9239836264499612, 1.1335528302711175, 0.4009358495849823, 0.0), (6.059031911370395, 4.270990187122201, 5.50449991514229, 5.60230820555966, 5.012791590203827, 2.490136929448583, 1.902800984996902, 1.9129851869747332, 2.7568809702442847, 0.9887860557234682, 0.7798253500011468, 0.468093800681876, 0.0, 6.6873225235789615, 5.149031807500635, 3.8991267500057343, 2.9663581671704042, 5.513761940488569, 2.6781792617646265, 1.902800984996902, 1.7786692353204163, 2.5063957951019136, 1.867436068519887, 1.100899983028458, 0.3882718351929274, 0.0), (5.861763403606015, 4.1267185154112305, 5.333058736591924, 5.4247227165306615, 4.856022455309747, 2.413972196347072, 1.8398185458352458, 1.8547371932717271, 2.6735186754361124, 0.9568696904244344, 0.7548009035337614, 0.45319887785722274, 0.0, 6.477694532530785, 4.985187656429449, 3.774004517668807, 2.8706090712733023, 5.347037350872225, 2.596632070580418, 1.8398185458352458, 1.724265854533623, 2.4280112276548733, 1.808240905510221, 1.066611747318385, 0.3751562286737483, 0.0), (5.657325647224384, 3.978005057412684, 5.154195281828863, 5.23994581269609, 4.692569423622822, 2.334286864383604, 1.7747074283677764, 1.7937538583450197, 2.5861465706904125, 0.9237514790829147, 0.7288103272000027, 0.4377100180914133, 0.0, 6.259210710787055, 4.814810199005545, 3.6440516360000137, 2.7712544372487433, 5.172293141380825, 2.5112554016830275, 1.7747074283677764, 1.6673477602740028, 2.346284711811411, 1.7466486042320304, 1.0308390563657726, 0.36163682340115316, 0.0), (5.4465037666285, 3.82537554023735, 4.968664216977482, 5.048728894489152, 4.523116197620137, 2.2514296625515327, 1.7077085176369027, 1.7303046032244096, 2.495155915133985, 0.8895609975957474, 0.7019566515147247, 0.4216896904760322, 0.0, 6.032780357831365, 4.638586595236354, 3.509783257573624, 2.6686829927872413, 4.99031183026797, 2.4224264445141737, 1.7077085176369027, 1.6081640446796661, 2.2615580988100685, 1.6829096314963843, 0.9937328433954964, 0.3477614127488501, 0.0), (5.230082886221365, 3.6693556909960217, 4.777220208162156, 4.851823362343048, 4.348346479778769, 2.1657493198442115, 1.6390626986850327, 1.664658848939696, 2.4009379678936282, 0.8544278218597702, 0.6743429069927823, 0.4052003641026643, 0.0, 5.799312773147303, 4.457204005129307, 3.3717145349639117, 2.56328346557931, 4.8018759357872565, 2.3305223885155746, 1.6390626986850327, 1.5469637998887225, 2.1741732398893845, 1.6172744541143496, 0.9554440416324312, 0.3335777900905475, 0.0), (5.00884813040598, 3.510471236799489, 4.58061792150726, 4.649980616690982, 4.168943972575801, 2.077594565254994, 1.5690108565545748, 1.5970860165206766, 2.303883988096141, 0.8184815277718206, 0.6460721241490297, 0.3883045080628938, 0.0, 5.5597172562184625, 4.271349588691831, 3.2303606207451483, 2.4554445833154612, 4.607767976192282, 2.235920423128947, 1.5690108565545748, 1.483996118039281, 2.0844719862879004, 1.5499935388969943, 0.916123584301452, 0.31913374879995354, 0.0), (4.783584623585344, 3.349247904758541, 4.3796120231371685, 4.443952057966156, 3.9855923784883105, 1.987314127777233, 1.4977938762879377, 1.5278555269971503, 2.204385234868321, 0.7818516912287369, 0.6172473334983214, 0.37106459144830567, 0.0, 5.314903106528433, 4.081710505931362, 3.0862366674916064, 2.34555507368621, 4.408770469736642, 2.1389977377960103, 1.4977938762879377, 1.4195100912694523, 1.9927961892441552, 1.4813173526553853, 0.8759224046274336, 0.3044770822507765, 0.0), (4.555077490162455, 3.18621142198397, 4.174957179176257, 4.2344890866017755, 3.7989753999933793, 1.8952567364042834, 1.425652642927529, 1.457236801398915, 2.102832967336968, 0.7446678881273562, 0.5879715655555117, 0.35354308335048457, 0.0, 5.0657796235608075, 3.8889739168553294, 2.939857827777558, 2.234003664382068, 4.205665934673936, 2.040131521958481, 1.425652642927529, 1.3537548117173452, 1.8994876999966896, 1.411496362200592, 0.8349914358352515, 0.28965558381672457, 0.0), (4.324111854540319, 3.0218875155865668, 3.9674080557488987, 4.0223431030310435, 3.609776739568087, 1.8017711201294973, 1.3528280415157574, 1.3854992607557703, 1.9996184446288805, 0.7070596943645169, 0.558347850835455, 0.33580245286101496, 0.0, 4.813256106799174, 3.693826981471164, 2.791739254177275, 2.1211790830935504, 3.999236889257761, 1.9396989650580787, 1.3528280415157574, 1.2869793715210696, 1.8048883697840434, 1.3407810343436815, 0.7934816111497798, 0.2747170468715061, 0.0), (4.0914728411219325, 2.856801912677122, 3.7577193189794698, 3.808265507687162, 3.4186800996895155, 1.7072060079462288, 1.2795609570950313, 1.3129123260975137, 1.8951329258708567, 0.6691566858370562, 0.528479219853006, 0.3179051690714816, 0.0, 4.5582418557271245, 3.496956859786297, 2.6423960992650297, 2.0074700575111684, 3.7902658517417134, 1.838077256536519, 1.2795609570950313, 1.2194328628187348, 1.7093400498447577, 1.269421835895721, 0.751543863795894, 0.25970926478882933, 0.0), (3.8579455743102966, 2.6914803403664256, 3.5466456349923448, 3.593007701003337, 3.226369182834742, 1.6119101288478317, 1.2060922747077587, 1.239745418453944, 1.7897676701896952, 0.6310884384418126, 0.49846870312301883, 0.299913701073469, 0.0, 4.301646169828252, 3.299050711808158, 2.4923435156150937, 1.8932653153254375, 3.5795353403793904, 1.7356435858355217, 1.2060922747077587, 1.1513643777484512, 1.613184591417371, 1.1976692336677792, 0.7093291269984691, 0.24468003094240237, 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, 0.0))
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, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1))
'\nparameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html\n'
entropy = 8991598675325360468762009371570610170
child_seed_index = (1, 4) |
def add_up(a, b):
return a + b
def test_add_up_succeed():
assert add_up(1, 2) == 3
def test_add_up_fail():
assert add_up(1, 2) == 4
def ignore_me():
assert "I will be" == "completely ignored"
| def add_up(a, b):
return a + b
def test_add_up_succeed():
assert add_up(1, 2) == 3
def test_add_up_fail():
assert add_up(1, 2) == 4
def ignore_me():
assert 'I will be' == 'completely ignored' |
destination = input()
while destination != "End":
needed_money = float(input())
saved_money = 0
while saved_money < needed_money:
saved_money += float(input())
print(f"Going to {destination}!")
destination = input()
| destination = input()
while destination != 'End':
needed_money = float(input())
saved_money = 0
while saved_money < needed_money:
saved_money += float(input())
print(f'Going to {destination}!')
destination = input() |
while True:
try:
# get an integer for age
age = int(input('What is your age? '))
10/age
print('You are',age, 'years old.')
except ValueError as err:
#if anything accept an int is enter print following error
print(f'''
please enter a number for your age.
Error 10001
{err}
''')
#keep going
continue
except ArithmeticError as err:
print(f'''
Math Error
Error 10002
{err}
''')
#exit out of the try
break
else:
print('Thank you')
break
#runs always at the end of everything no matter what
finally:
print('Everything else completed')
print('Can you hear me?')
| while True:
try:
age = int(input('What is your age? '))
10 / age
print('You are', age, 'years old.')
except ValueError as err:
print(f'\n please enter a number for your age.\n Error 10001\n {err}\n ')
continue
except ArithmeticError as err:
print(f'\n Math Error\n Error 10002\n {err}\n ')
break
else:
print('Thank you')
break
finally:
print('Everything else completed')
print('Can you hear me?') |
# Return the remainder
def remainder(x: int, y: int) -> int:
return x % y
# remainder_lambda = lambda x, y: x % y
if __name__ == "__main__":
print(remainder(1, 3))
| def remainder(x: int, y: int) -> int:
return x % y
if __name__ == '__main__':
print(remainder(1, 3)) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.