content
stringlengths
7
1.05M
fixed_cases
stringlengths
1
1.28M
# -*- coding: utf-8 -*- X = int(input()) Y = int(input()) start, end = min(X, Y), max(X, Y) firstDivisible = start if (start % 13 == 0) else start + (13 - (start % 13)) answer = sum(range(start, end + 1)) - sum(range(firstDivisible, end + 1, 13)) print(answer)
x = int(input()) y = int(input()) (start, end) = (min(X, Y), max(X, Y)) first_divisible = start if start % 13 == 0 else start + (13 - start % 13) answer = sum(range(start, end + 1)) - sum(range(firstDivisible, end + 1, 13)) print(answer)
"""Top-level package for Webex Bot.""" __author__ = """Finbarr Brady""" __version__ = '0.2.5'
"""Top-level package for Webex Bot.""" __author__ = 'Finbarr Brady' __version__ = '0.2.5'
# variables notasV = 0 soma = 0 # while there are not 2 grades between [0,10], so the loop continue while notasV < 2: # receive float nota = float(input()) # if nota is >= 0 and nota <= 10 if (nota >= 0) and (nota <= 10): notasV = notasV + 1 soma = soma + nota # if it is not true else: print('nota invalida') # media if notasV == 2: soma = soma / 2 print('media = {:.2f}'.format(soma))
notas_v = 0 soma = 0 while notasV < 2: nota = float(input()) if nota >= 0 and nota <= 10: notas_v = notasV + 1 soma = soma + nota else: print('nota invalida') if notasV == 2: soma = soma / 2 print('media = {:.2f}'.format(soma))
# Error codes due to an invalid request INVALID_REQUEST = 400 INVALID_ALGORITHM = 401 DOCUMENT_NOT_FOUND = 404
invalid_request = 400 invalid_algorithm = 401 document_not_found = 404
# -*- coding: utf-8 -*- """This module contains all the LUA code that needs to be on the device to perform whats needed. They will be uploaded if they doesn't exist""" # Copyright (C) 2015-2019 Peter Magnusson <peter@kmpm.se> # pylint: disable=C0301 # flake8: noqa LUA_FUNCTIONS = ['recv_block', 'recv_name', 'recv', 'shafile', 'send_block', 'send_file', 'send'] DOWNLOAD_FILE = "file.open('{filename}') print(file.seek('end', 0)) file.seek('set', {bytes_read}) uart.write(0, file.read({chunk_size}))file.close()" PRINT_FILE = "file.open('{filename}') print('---{filename}---') print(file.read()) file.close() print('---')" INFO_GROUP = "for key,value in pairs(node.info('{group}')) do k=tostring(key) print(k .. string.rep(' ', 20 - #k), tostring(value)) end" LIST_FILES = 'for key,value in pairs(file.list()) do print(key,value) end' # NUL = \000, ACK = \006 RECV_LUA = \ r""" function recv() local on,w,ack,nack=uart.on,uart.write,'\6','\21' local fd local function recv_block(d) local t,l = d:byte(1,2) if t ~= 1 then w(0, nack); fd:close(); return on('data') end if l >= 0 then fd:write(d:sub(3, l+2)); end if l == 0 then fd:close(); w(0, ack); return on('data') else w(0, ack) end end local function recv_name(d) d = d:gsub('%z.*', '') d:sub(1,-2) file.remove(d) fd=file.open(d, 'w') on('data', 130, recv_block, 0) w(0, ack) end on('data', '\0', recv_name, 0) w(0, 'C') end function shafile(f) print(crypto.toHex(crypto.fhash('sha1', f))) end """ # noqa: E122 SEND_LUA = \ r""" function send(f) uart.on('data', 1, function (data) local on,w=uart.on,uart.write local fd local function send_block(d) l = string.len(d) w(0, '\001' .. string.char(l) .. d .. string.rep('\0', 128 - l)) return l end local function send_file(f) local s, p fd=file.open(f) s=fd:seek('end', 0) p=0 on('data', 1, function(data) if data == '\006' and p<s then fd:seek('set',p) p=p+send_block(fd:read(128)) else send_block('') fd:close() on('data') print('interrupted') end end, 0) w(0, f .. '\000') end uart.on('data') if data == 'C' then send_file(f) else print('transfer interrupted') end end, 0) end """ UART_SETUP = 'uart.setup(0,{baud},8,0,1,1)' REMOVE_ALL_FILES = r""" for key,value in pairs(file.list()) do file.remove(key) end """
"""This module contains all the LUA code that needs to be on the device to perform whats needed. They will be uploaded if they doesn't exist""" lua_functions = ['recv_block', 'recv_name', 'recv', 'shafile', 'send_block', 'send_file', 'send'] download_file = "file.open('{filename}') print(file.seek('end', 0)) file.seek('set', {bytes_read}) uart.write(0, file.read({chunk_size}))file.close()" print_file = "file.open('{filename}') print('---{filename}---') print(file.read()) file.close() print('---')" info_group = "for key,value in pairs(node.info('{group}')) do k=tostring(key) print(k .. string.rep(' ', 20 - #k), tostring(value)) end" list_files = 'for key,value in pairs(file.list()) do print(key,value) end' recv_lua = "\nfunction recv()\n local on,w,ack,nack=uart.on,uart.write,'\\6','\\21'\n local fd\n local function recv_block(d)\n local t,l = d:byte(1,2)\n if t ~= 1 then w(0, nack); fd:close(); return on('data') end\n if l >= 0 then fd:write(d:sub(3, l+2)); end\n if l == 0 then fd:close(); w(0, ack); return on('data') else w(0, ack) end\n end\n local function recv_name(d) d = d:gsub('%z.*', '') d:sub(1,-2) file.remove(d) fd=file.open(d, 'w') on('data', 130, recv_block, 0) w(0, ack) end\n on('data', '\\0', recv_name, 0)\n w(0, 'C')\n end\nfunction shafile(f) print(crypto.toHex(crypto.fhash('sha1', f))) end\n" send_lua = "\nfunction send(f) uart.on('data', 1, function (data)\n local on,w=uart.on,uart.write\n local fd\n local function send_block(d) l = string.len(d) w(0, '\\001' .. string.char(l) .. d .. string.rep('\\0', 128 - l)) return l end\n local function send_file(f)\n local s, p\n fd=file.open(f) s=fd:seek('end', 0) p=0\n on('data', 1, function(data)\n if data == '\\006' and p<s then\n fd:seek('set',p) p=p+send_block(fd:read(128))\n else\n send_block('') fd:close() on('data') print('interrupted')\n end\n end, 0)\n w(0, f .. '\\000')\n end\n uart.on('data') if data == 'C' then send_file(f) else print('transfer interrupted') end end, 0)\nend\n" uart_setup = 'uart.setup(0,{baud},8,0,1,1)' remove_all_files = '\nfor key,value in pairs(file.list()) do file.remove(key) end\n'
# https://en.wikipedia.org/wiki/Trifid_cipher def __encryptPart(messagePart, character2Number): one, two, three = "", "", "" tmp = [] for character in messagePart: tmp.append(character2Number[character]) for each in tmp: one += each[0] two += each[1] three += each[2] return one + two + three def __decryptPart(messagePart, character2Number): tmp, thisPart = "", "" result = [] for character in messagePart: thisPart += character2Number[character] for digit in thisPart: tmp += digit if len(tmp) == len(messagePart): result.append(tmp) tmp = "" return result[0], result[1], result[2] def __prepare(message, alphabet): # Validate message and alphabet, set to upper and remove spaces alphabet = alphabet.replace(" ", "").upper() message = message.replace(" ", "").upper() # Check length and characters if len(alphabet) != 27: raise KeyError("Length of alphabet has to be 27.") for each in message: if each not in alphabet: raise ValueError("Each message character has to be included in alphabet!") # Generate dictionares numbers = ( "111", "112", "113", "121", "122", "123", "131", "132", "133", "211", "212", "213", "221", "222", "223", "231", "232", "233", "311", "312", "313", "321", "322", "323", "331", "332", "333", ) character2Number = {} number2Character = {} for letter, number in zip(alphabet, numbers): character2Number[letter] = number number2Character[number] = letter return message, alphabet, character2Number, number2Character def encryptMessage(message, alphabet="ABCDEFGHIJKLMNOPQRSTUVWXYZ.", period=5): message, alphabet, character2Number, number2Character = __prepare(message, alphabet) encrypted, encrypted_numeric = "", "" for i in range(0, len(message) + 1, period): encrypted_numeric += __encryptPart(message[i : i + period], character2Number) for i in range(0, len(encrypted_numeric), 3): encrypted += number2Character[encrypted_numeric[i : i + 3]] return encrypted def decryptMessage(message, alphabet="ABCDEFGHIJKLMNOPQRSTUVWXYZ.", period=5): message, alphabet, character2Number, number2Character = __prepare(message, alphabet) decrypted_numeric = [] decrypted = "" for i in range(0, len(message) + 1, period): a, b, c = __decryptPart(message[i : i + period], character2Number) for j in range(0, len(a)): decrypted_numeric.append(a[j] + b[j] + c[j]) for each in decrypted_numeric: decrypted += number2Character[each] return decrypted if __name__ == "__main__": msg = "DEFEND THE EAST WALL OF THE CASTLE." encrypted = encryptMessage(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ") decrypted = decryptMessage(encrypted, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ") print("Encrypted: {}\nDecrypted: {}".format(encrypted, decrypted))
def __encrypt_part(messagePart, character2Number): (one, two, three) = ('', '', '') tmp = [] for character in messagePart: tmp.append(character2Number[character]) for each in tmp: one += each[0] two += each[1] three += each[2] return one + two + three def __decrypt_part(messagePart, character2Number): (tmp, this_part) = ('', '') result = [] for character in messagePart: this_part += character2Number[character] for digit in thisPart: tmp += digit if len(tmp) == len(messagePart): result.append(tmp) tmp = '' return (result[0], result[1], result[2]) def __prepare(message, alphabet): alphabet = alphabet.replace(' ', '').upper() message = message.replace(' ', '').upper() if len(alphabet) != 27: raise key_error('Length of alphabet has to be 27.') for each in message: if each not in alphabet: raise value_error('Each message character has to be included in alphabet!') numbers = ('111', '112', '113', '121', '122', '123', '131', '132', '133', '211', '212', '213', '221', '222', '223', '231', '232', '233', '311', '312', '313', '321', '322', '323', '331', '332', '333') character2_number = {} number2_character = {} for (letter, number) in zip(alphabet, numbers): character2Number[letter] = number number2Character[number] = letter return (message, alphabet, character2Number, number2Character) def encrypt_message(message, alphabet='ABCDEFGHIJKLMNOPQRSTUVWXYZ.', period=5): (message, alphabet, character2_number, number2_character) = __prepare(message, alphabet) (encrypted, encrypted_numeric) = ('', '') for i in range(0, len(message) + 1, period): encrypted_numeric += __encrypt_part(message[i:i + period], character2Number) for i in range(0, len(encrypted_numeric), 3): encrypted += number2Character[encrypted_numeric[i:i + 3]] return encrypted def decrypt_message(message, alphabet='ABCDEFGHIJKLMNOPQRSTUVWXYZ.', period=5): (message, alphabet, character2_number, number2_character) = __prepare(message, alphabet) decrypted_numeric = [] decrypted = '' for i in range(0, len(message) + 1, period): (a, b, c) = __decrypt_part(message[i:i + period], character2Number) for j in range(0, len(a)): decrypted_numeric.append(a[j] + b[j] + c[j]) for each in decrypted_numeric: decrypted += number2Character[each] return decrypted if __name__ == '__main__': msg = 'DEFEND THE EAST WALL OF THE CASTLE.' encrypted = encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ') decrypted = decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ') print('Encrypted: {}\nDecrypted: {}'.format(encrypted, decrypted))
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. __all__ = [ 'model_alias', ] # Records of model name to import class model_alias = { # --------------------------------- # -------------- ASR -------------- # --------------------------------- "deepspeech2offline": ["paddlespeech.s2t.models.ds2:DeepSpeech2Model"], "deepspeech2online": ["paddlespeech.s2t.models.ds2:DeepSpeech2Model"], "conformer": ["paddlespeech.s2t.models.u2:U2Model"], "conformer_online": ["paddlespeech.s2t.models.u2:U2Model"], "transformer": ["paddlespeech.s2t.models.u2:U2Model"], "wenetspeech": ["paddlespeech.s2t.models.u2:U2Model"], # --------------------------------- # -------------- CLS -------------- # --------------------------------- "panns_cnn6": ["paddlespeech.cls.models.panns:CNN6"], "panns_cnn10": ["paddlespeech.cls.models.panns:CNN10"], "panns_cnn14": ["paddlespeech.cls.models.panns:CNN14"], # --------------------------------- # -------------- ST --------------- # --------------------------------- "fat_st": ["paddlespeech.s2t.models.u2_st:U2STModel"], # --------------------------------- # -------------- TEXT ------------- # --------------------------------- "ernie_linear_p7": [ "paddlespeech.text.models:ErnieLinear", "paddlenlp.transformers:ErnieTokenizer" ], "ernie_linear_p3": [ "paddlespeech.text.models:ErnieLinear", "paddlenlp.transformers:ErnieTokenizer" ], # --------------------------------- # -------------- TTS -------------- # --------------------------------- # acoustic model "speedyspeech": ["paddlespeech.t2s.models.speedyspeech:SpeedySpeech"], "speedyspeech_inference": ["paddlespeech.t2s.models.speedyspeech:SpeedySpeechInference"], "fastspeech2": ["paddlespeech.t2s.models.fastspeech2:FastSpeech2"], "fastspeech2_inference": ["paddlespeech.t2s.models.fastspeech2:FastSpeech2Inference"], "tacotron2": ["paddlespeech.t2s.models.tacotron2:Tacotron2"], "tacotron2_inference": ["paddlespeech.t2s.models.tacotron2:Tacotron2Inference"], # voc "pwgan": ["paddlespeech.t2s.models.parallel_wavegan:PWGGenerator"], "pwgan_inference": ["paddlespeech.t2s.models.parallel_wavegan:PWGInference"], "mb_melgan": ["paddlespeech.t2s.models.melgan:MelGANGenerator"], "mb_melgan_inference": ["paddlespeech.t2s.models.melgan:MelGANInference"], "style_melgan": ["paddlespeech.t2s.models.melgan:StyleMelGANGenerator"], "style_melgan_inference": ["paddlespeech.t2s.models.melgan:StyleMelGANInference"], "hifigan": ["paddlespeech.t2s.models.hifigan:HiFiGANGenerator"], "hifigan_inference": ["paddlespeech.t2s.models.hifigan:HiFiGANInference"], "wavernn": ["paddlespeech.t2s.models.wavernn:WaveRNN"], "wavernn_inference": ["paddlespeech.t2s.models.wavernn:WaveRNNInference"], # --------------------------------- # ------------ Vector ------------- # --------------------------------- "ecapatdnn": ["paddlespeech.vector.models.ecapa_tdnn:EcapaTdnn"], }
__all__ = ['model_alias'] model_alias = {'deepspeech2offline': ['paddlespeech.s2t.models.ds2:DeepSpeech2Model'], 'deepspeech2online': ['paddlespeech.s2t.models.ds2:DeepSpeech2Model'], 'conformer': ['paddlespeech.s2t.models.u2:U2Model'], 'conformer_online': ['paddlespeech.s2t.models.u2:U2Model'], 'transformer': ['paddlespeech.s2t.models.u2:U2Model'], 'wenetspeech': ['paddlespeech.s2t.models.u2:U2Model'], 'panns_cnn6': ['paddlespeech.cls.models.panns:CNN6'], 'panns_cnn10': ['paddlespeech.cls.models.panns:CNN10'], 'panns_cnn14': ['paddlespeech.cls.models.panns:CNN14'], 'fat_st': ['paddlespeech.s2t.models.u2_st:U2STModel'], 'ernie_linear_p7': ['paddlespeech.text.models:ErnieLinear', 'paddlenlp.transformers:ErnieTokenizer'], 'ernie_linear_p3': ['paddlespeech.text.models:ErnieLinear', 'paddlenlp.transformers:ErnieTokenizer'], 'speedyspeech': ['paddlespeech.t2s.models.speedyspeech:SpeedySpeech'], 'speedyspeech_inference': ['paddlespeech.t2s.models.speedyspeech:SpeedySpeechInference'], 'fastspeech2': ['paddlespeech.t2s.models.fastspeech2:FastSpeech2'], 'fastspeech2_inference': ['paddlespeech.t2s.models.fastspeech2:FastSpeech2Inference'], 'tacotron2': ['paddlespeech.t2s.models.tacotron2:Tacotron2'], 'tacotron2_inference': ['paddlespeech.t2s.models.tacotron2:Tacotron2Inference'], 'pwgan': ['paddlespeech.t2s.models.parallel_wavegan:PWGGenerator'], 'pwgan_inference': ['paddlespeech.t2s.models.parallel_wavegan:PWGInference'], 'mb_melgan': ['paddlespeech.t2s.models.melgan:MelGANGenerator'], 'mb_melgan_inference': ['paddlespeech.t2s.models.melgan:MelGANInference'], 'style_melgan': ['paddlespeech.t2s.models.melgan:StyleMelGANGenerator'], 'style_melgan_inference': ['paddlespeech.t2s.models.melgan:StyleMelGANInference'], 'hifigan': ['paddlespeech.t2s.models.hifigan:HiFiGANGenerator'], 'hifigan_inference': ['paddlespeech.t2s.models.hifigan:HiFiGANInference'], 'wavernn': ['paddlespeech.t2s.models.wavernn:WaveRNN'], 'wavernn_inference': ['paddlespeech.t2s.models.wavernn:WaveRNNInference'], 'ecapatdnn': ['paddlespeech.vector.models.ecapa_tdnn:EcapaTdnn']}
""" The roseguarden project Copyright (C) 2018-2020 Marcus Drobisch, This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. """ __authors__ = ["Marcus Drobisch"] __contact__ = "roseguarden@fabba.space" __credits__ = [] __license__ = "GPLv3" class Action(object): """Base class that each action for every workspace have to inherit from. The class define methods that all action must implement by the plugin """ disable = False def __init__(self, app, uri=None): if uri is None: self.uri = self.__class__.__name__ else: self.uri = uri def handle(self, action, user, workspace, actionManager): """ Action handler method """ raise NotImplementedError @staticmethod def generate(**kwargs): """ Action generator method """ raise NotImplementedError
""" The roseguarden project Copyright (C) 2018-2020 Marcus Drobisch, This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. """ __authors__ = ['Marcus Drobisch'] __contact__ = 'roseguarden@fabba.space' __credits__ = [] __license__ = 'GPLv3' class Action(object): """Base class that each action for every workspace have to inherit from. The class define methods that all action must implement by the plugin """ disable = False def __init__(self, app, uri=None): if uri is None: self.uri = self.__class__.__name__ else: self.uri = uri def handle(self, action, user, workspace, actionManager): """ Action handler method """ raise NotImplementedError @staticmethod def generate(**kwargs): """ Action generator method """ raise NotImplementedError
# Find minimum number without using conditional statement or ternary operator def main(): a = 4 b = 3 print((a > b) * a + (a < b) * b) if __name__ == '__main__': main()
def main(): a = 4 b = 3 print((a > b) * a + (a < b) * b) if __name__ == '__main__': main()
class Author: def __init__(self, name, familyname=None): self.name = name self.familyname = familyname def __repr__(self): return u'{0}'.format(self.name) authors = {'1': Author('Test Author'), '2': Author('Testy McTesterson')} print(list(authors.values())) print(u'Found {0} unique authors: {1}'.format(len(authors), list(authors.values()))) author2 = Author('Test Author 2') name = author2.familyname or author2.name print('Name: {0}'.format(name)) print(author2.familyname)
class Author: def __init__(self, name, familyname=None): self.name = name self.familyname = familyname def __repr__(self): return u'{0}'.format(self.name) authors = {'1': author('Test Author'), '2': author('Testy McTesterson')} print(list(authors.values())) print(u'Found {0} unique authors: {1}'.format(len(authors), list(authors.values()))) author2 = author('Test Author 2') name = author2.familyname or author2.name print('Name: {0}'.format(name)) print(author2.familyname)
""" categories: Types,bytearray description: Array slice assignment with unsupported RHS cause: Unknown workaround: Unknown """ b = bytearray(4) b[0:1] = [1, 2] print(b)
""" categories: Types,bytearray description: Array slice assignment with unsupported RHS cause: Unknown workaround: Unknown """ b = bytearray(4) b[0:1] = [1, 2] print(b)
''' ''' def main(): info('Fill Pipette 1') close(description='Outer Pipette 1') sleep(1) if analysis_type=='blank': info('not filling cocktail pipette') else: info('filling cocktail pipette') open(description='Inner Pipette 1') sleep(15) close(description='Inner Pipette 1') sleep(1)
""" """ def main(): info('Fill Pipette 1') close(description='Outer Pipette 1') sleep(1) if analysis_type == 'blank': info('not filling cocktail pipette') else: info('filling cocktail pipette') open(description='Inner Pipette 1') sleep(15) close(description='Inner Pipette 1') sleep(1)
_base_ = [ '../_base_/models/regproxy/regproxy-l16.py', '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', '../_base_/schedules/adamw+cr+lr_6e-5+wd_0.01+iter_80k.py' ] model = dict( backbone=dict( img_size=(768, 768), out_indices=[5, 23]), test_cfg=dict( mode='slide', crop_size=(768, 768), stride=(512, 512)))
_base_ = ['../_base_/models/regproxy/regproxy-l16.py', '../_base_/datasets/cityscapes.py', '../_base_/default_runtime.py', '../_base_/schedules/adamw+cr+lr_6e-5+wd_0.01+iter_80k.py'] model = dict(backbone=dict(img_size=(768, 768), out_indices=[5, 23]), test_cfg=dict(mode='slide', crop_size=(768, 768), stride=(512, 512)))
# Copy this file to config.py and fill the blanks QCLOUD_APP_ID = '' QCLOUD_SECRET_ID = '' QCLOUD_SECRET_KEY = '' QCLOUD_BUCKET = '' QCLOUD_REGION = 'sh'
qcloud_app_id = '' qcloud_secret_id = '' qcloud_secret_key = '' qcloud_bucket = '' qcloud_region = 'sh'
class SubSystemTypes: aperture = 'Aperture' client = 'Client' config = 'Config' rights = 'Rights' secret_store_config = 'SecretStoreconfig' websdk = 'WebSDK'
class Subsystemtypes: aperture = 'Aperture' client = 'Client' config = 'Config' rights = 'Rights' secret_store_config = 'SecretStoreconfig' websdk = 'WebSDK'
user_0 = {'username': 'efermi', 'first': 'enrico', 'last': 'fermi', } for key, value in user_0.items(): print("\nKey: " + key) print("Value: " + value) print(user_0.items())
user_0 = {'username': 'efermi', 'first': 'enrico', 'last': 'fermi'} for (key, value) in user_0.items(): print('\nKey: ' + key) print('Value: ' + value) print(user_0.items())
# Solution def part1(data): frequency = sum(int(x) for x in data) return frequency def part2(data): known_frequency = { 0: True } frequency = 0 while True: for x in data: frequency += int(x) if frequency in known_frequency: return frequency known_frequency[frequency] = True # Tests def test(expected, actual): assert expected == actual, 'Expected: %r, Actual: %r' % (expected, actual) test(3, part1(['+1', '-2', '+3', '+1'])) test(3, part1(['+1', '+1', '+1'])) test(0, part1(['+1', '+1', '-2'])) test(-6, part1(['-1', '-2', '-3'])) test(2, part2(['+1', '-2', '+3', '+1'])) test(0, part2(['+1', '-1'])) test(10, part2(['+3', '+3', '+4', '-2', '-4'])) test(5, part2(['-6', '+3', '+8', '+5', '-6'])) test(14, part2(['+7', '+7', '-2', '-7', '-4'])) # Solve real puzzle filename = 'data/day01.txt' data = [line.rstrip('\n') for line in open(filename, 'r')] print('Day 01, part 1: %r' % (part1(data))) print('Day 01, part 2: %r' % (part2(data)))
def part1(data): frequency = sum((int(x) for x in data)) return frequency def part2(data): known_frequency = {0: True} frequency = 0 while True: for x in data: frequency += int(x) if frequency in known_frequency: return frequency known_frequency[frequency] = True def test(expected, actual): assert expected == actual, 'Expected: %r, Actual: %r' % (expected, actual) test(3, part1(['+1', '-2', '+3', '+1'])) test(3, part1(['+1', '+1', '+1'])) test(0, part1(['+1', '+1', '-2'])) test(-6, part1(['-1', '-2', '-3'])) test(2, part2(['+1', '-2', '+3', '+1'])) test(0, part2(['+1', '-1'])) test(10, part2(['+3', '+3', '+4', '-2', '-4'])) test(5, part2(['-6', '+3', '+8', '+5', '-6'])) test(14, part2(['+7', '+7', '-2', '-7', '-4'])) filename = 'data/day01.txt' data = [line.rstrip('\n') for line in open(filename, 'r')] print('Day 01, part 1: %r' % part1(data)) print('Day 01, part 2: %r' % part2(data))
data_file = open('us_cities.txt', 'r') for line in data_file: city, population = line.split(':') # Tuple unpacking city = city.title() # Capitalize city names population = '{0:,}'.format(int(population)) # Add commas to numbers print(city.ljust(15) + population) data_file.close()
data_file = open('us_cities.txt', 'r') for line in data_file: (city, population) = line.split(':') city = city.title() population = '{0:,}'.format(int(population)) print(city.ljust(15) + population) data_file.close()
class Veiculo: def __init__(self, tipo) -> None: self.tipo = tipo self.propriedades = {} def get_propriedades(self): return self.propriedades def set_propriedades(self, cor: str, cambio: str, capacidade: int) -> None: self.propriedades = { 'cor': cor, 'cambio': cambio, 'capacidade': capacidade } def __str__(self) -> str: prop_str = ", ".join([str(valor) for valor in self.get_propriedades() .values()]) return f'{self.tipo}: {prop_str}' class Carro(Veiculo): def __init__(self, tipo) -> None: super().__init__(tipo) caminhao = Veiculo('caminhao') caminhao.set_propriedades('azul', 'manual', 6) carro = Carro('Sedan') carro.set_propriedades('azul', 'automatico', 5) kombi = Veiculo('kombi') kombi.set_propriedades('azul', 'manual', 12) veiculos = [caminhao, carro, kombi] def buscar_por_cor(cor: str) -> None: for veiculo in veiculos: if veiculo.get_propriedades()['cor'] == cor: print(veiculo) buscar_por_cor('azul')
class Veiculo: def __init__(self, tipo) -> None: self.tipo = tipo self.propriedades = {} def get_propriedades(self): return self.propriedades def set_propriedades(self, cor: str, cambio: str, capacidade: int) -> None: self.propriedades = {'cor': cor, 'cambio': cambio, 'capacidade': capacidade} def __str__(self) -> str: prop_str = ', '.join([str(valor) for valor in self.get_propriedades().values()]) return f'{self.tipo}: {prop_str}' class Carro(Veiculo): def __init__(self, tipo) -> None: super().__init__(tipo) caminhao = veiculo('caminhao') caminhao.set_propriedades('azul', 'manual', 6) carro = carro('Sedan') carro.set_propriedades('azul', 'automatico', 5) kombi = veiculo('kombi') kombi.set_propriedades('azul', 'manual', 12) veiculos = [caminhao, carro, kombi] def buscar_por_cor(cor: str) -> None: for veiculo in veiculos: if veiculo.get_propriedades()['cor'] == cor: print(veiculo) buscar_por_cor('azul')
turno = input("Qual perido voce estuda? V para vespertino, D para diurno ou N para noturno: ").upper() if turno == "V": print("Boa Tarde") elif turno == "D": print("Bom dia") elif turno == "N": print("Boav Noite") else: print("Entrada invalida")
turno = input('Qual perido voce estuda? V para vespertino, D para diurno ou N para noturno: ').upper() if turno == 'V': print('Boa Tarde') elif turno == 'D': print('Bom dia') elif turno == 'N': print('Boav Noite') else: print('Entrada invalida')
# # This file is part of snmpresponder software. # # Copyright (c) 2019, Ilya Etingof <etingof@gmail.com> # License: http://snmplabs.com/snmpresponder/license.html # def expandMacro(option, context): for k in context: pat = '${%s}' % k if option and '${' in option: option = option.replace(pat, str(context[k])) return option def expandMacros(options, context): options = list(options) for idx, option in enumerate(options): options[idx] = expandMacro(option, context) return options
def expand_macro(option, context): for k in context: pat = '${%s}' % k if option and '${' in option: option = option.replace(pat, str(context[k])) return option def expand_macros(options, context): options = list(options) for (idx, option) in enumerate(options): options[idx] = expand_macro(option, context) return options
#Cristian Chitiva #cychitvav@unal.educo #16/Sept/2018 class Cat: def __init__(self, name): self.name = name
class Cat: def __init__(self, name): self.name = name
class RestWriter(object): def __init__(self, file, report): self.file = file self.report = report def write(self, restsection): assert len(restsection) >= 3 for separator, collection1 in self.report: self.write_header(separator, restsection[0], 80) for distribution, collection2 in collection1: self.write_header(distribution, restsection[1], 50) for parameters, table in collection2: self.write_header(parameters, restsection[2], 40) self.file.write('\n') self.file.write(str(table)) def write_header(self, title, char, width = 80): f = self.file f.write('\n') f.write('\n') f.write("%s\n" % title) f.write(char * max(len(title), width)) f.write('\n')
class Restwriter(object): def __init__(self, file, report): self.file = file self.report = report def write(self, restsection): assert len(restsection) >= 3 for (separator, collection1) in self.report: self.write_header(separator, restsection[0], 80) for (distribution, collection2) in collection1: self.write_header(distribution, restsection[1], 50) for (parameters, table) in collection2: self.write_header(parameters, restsection[2], 40) self.file.write('\n') self.file.write(str(table)) def write_header(self, title, char, width=80): f = self.file f.write('\n') f.write('\n') f.write('%s\n' % title) f.write(char * max(len(title), width)) f.write('\n')
d = DiGraph(loops=True, multiedges=True, sparse=True) d.add_edges([(0, 0, 'a'), (0, 0, 'b'), (0, 1, 'c'), (0, 1, 'd'), (0, 1, 'e'), (0, 1, 'f'), (0, 1, 'f'), (2, 1, 'g'), (2, 2, 'h')]) GP = d.graphplot(vertex_size=100, edge_labels=True, color_by_label=True, edge_style='dashed') GP.set_edges(edge_style='solid') GP.set_edges(edge_color='black') sphinx_plot(GP)
d = di_graph(loops=True, multiedges=True, sparse=True) d.add_edges([(0, 0, 'a'), (0, 0, 'b'), (0, 1, 'c'), (0, 1, 'd'), (0, 1, 'e'), (0, 1, 'f'), (0, 1, 'f'), (2, 1, 'g'), (2, 2, 'h')]) gp = d.graphplot(vertex_size=100, edge_labels=True, color_by_label=True, edge_style='dashed') GP.set_edges(edge_style='solid') GP.set_edges(edge_color='black') sphinx_plot(GP)
class Pessoa: def __init__(self, nome): self.nome = nome @classmethod def outro_contrutor(cls, nome, sobrenome): cls.sobrenome = sobrenome return cls(nome) p = Pessoa('samuel') print(p.nome) p = Pessoa.outro_contrutor('saulo', 'nunes') print(p.sobrenome)
class Pessoa: def __init__(self, nome): self.nome = nome @classmethod def outro_contrutor(cls, nome, sobrenome): cls.sobrenome = sobrenome return cls(nome) p = pessoa('samuel') print(p.nome) p = Pessoa.outro_contrutor('saulo', 'nunes') print(p.sobrenome)
#!/usr/bin/python3 """ Main module for demo """ if __name__ == "__main__": pass
""" Main module for demo """ if __name__ == '__main__': pass
"""Exceptions for OpenZWave MQTT.""" class BaseOZWError(Exception): """Base OpenZWave MQTT exception.""" class NotFoundError(BaseOZWError): """Exception that is raised when an entity can't be found.""" class NotSupportedError(BaseOZWError): """Exception that is raised when an action isn't supported.""" class WrongTypeError(NotSupportedError): """Exception that is raised when an input is the wrong type.""" class InvalidValueError(NotSupportedError): """Exception that is raised when an input value is invalid."""
"""Exceptions for OpenZWave MQTT.""" class Baseozwerror(Exception): """Base OpenZWave MQTT exception.""" class Notfounderror(BaseOZWError): """Exception that is raised when an entity can't be found.""" class Notsupportederror(BaseOZWError): """Exception that is raised when an action isn't supported.""" class Wrongtypeerror(NotSupportedError): """Exception that is raised when an input is the wrong type.""" class Invalidvalueerror(NotSupportedError): """Exception that is raised when an input value is invalid."""
while True: print('-=-' * 6) n=float(input('Digite um valor (negativo para sair do programa): ')) if n<0: break print('-=-'*6) for c in range(1,11): print('\033[35m{:.0f} x {} = {:.0f}\033[m'.format(n,c,n*c)) print('\033[33mPrograma encerrado. Volte sempre!')
while True: print('-=-' * 6) n = float(input('Digite um valor (negativo para sair do programa): ')) if n < 0: break print('-=-' * 6) for c in range(1, 11): print('\x1b[35m{:.0f} x {} = {:.0f}\x1b[m'.format(n, c, n * c)) print('\x1b[33mPrograma encerrado. Volte sempre!')
""" PASSENGERS """ numPassengers = 31043 passenger_arriving = ( (10, 4, 10, 7, 4, 5, 6, 5, 3, 4, 0, 0, 0, 5, 15, 5, 4, 4, 3, 0, 2, 3, 4, 1, 0, 0), # 0 (2, 10, 11, 8, 5, 3, 3, 2, 5, 2, 0, 0, 0, 9, 10, 2, 5, 6, 4, 3, 5, 2, 8, 1, 0, 0), # 1 (1, 9, 6, 9, 8, 5, 5, 4, 1, 1, 2, 2, 0, 10, 4, 8, 11, 12, 5, 4, 2, 4, 4, 2, 4, 0), # 2 (7, 14, 5, 7, 6, 4, 0, 4, 3, 1, 3, 1, 0, 6, 8, 10, 5, 9, 7, 4, 3, 1, 0, 0, 2, 0), # 3 (11, 11, 13, 8, 7, 2, 5, 3, 3, 2, 4, 0, 0, 9, 3, 2, 9, 5, 5, 4, 3, 4, 2, 5, 0, 0), # 4 (10, 10, 5, 8, 9, 8, 3, 7, 6, 0, 5, 1, 0, 8, 16, 7, 3, 8, 5, 5, 1, 3, 5, 1, 0, 0), # 5 (13, 11, 8, 7, 8, 5, 8, 5, 7, 3, 1, 2, 0, 7, 9, 10, 9, 5, 8, 1, 1, 3, 1, 2, 1, 0), # 6 (14, 9, 7, 6, 6, 1, 5, 6, 7, 3, 2, 1, 0, 12, 12, 8, 2, 11, 6, 4, 1, 4, 1, 2, 1, 0), # 7 (12, 15, 7, 13, 10, 8, 4, 2, 2, 2, 2, 3, 0, 17, 10, 11, 9, 9, 1, 8, 2, 4, 6, 0, 2, 0), # 8 (6, 18, 9, 20, 8, 2, 8, 3, 2, 1, 0, 1, 0, 11, 14, 11, 9, 12, 9, 4, 3, 8, 7, 2, 1, 0), # 9 (18, 16, 13, 13, 6, 4, 7, 4, 7, 3, 1, 0, 0, 16, 7, 13, 6, 8, 8, 4, 3, 5, 6, 6, 1, 0), # 10 (13, 12, 13, 14, 9, 5, 4, 6, 7, 4, 2, 1, 0, 13, 16, 8, 8, 10, 8, 7, 5, 5, 2, 0, 2, 0), # 11 (15, 18, 13, 13, 12, 3, 8, 7, 3, 5, 3, 0, 0, 10, 13, 7, 11, 12, 10, 5, 4, 4, 2, 1, 3, 0), # 12 (12, 11, 10, 14, 7, 11, 5, 4, 6, 9, 2, 0, 0, 12, 13, 10, 8, 13, 11, 8, 3, 6, 3, 2, 1, 0), # 13 (15, 15, 21, 13, 12, 5, 6, 8, 5, 1, 3, 1, 0, 20, 11, 9, 7, 17, 7, 6, 7, 5, 5, 2, 1, 0), # 14 (19, 14, 10, 17, 10, 5, 9, 4, 10, 3, 1, 2, 0, 18, 19, 8, 10, 15, 3, 7, 5, 4, 1, 2, 1, 0), # 15 (11, 11, 13, 11, 11, 4, 1, 8, 7, 3, 2, 1, 0, 10, 16, 8, 6, 11, 10, 2, 4, 5, 10, 3, 0, 0), # 16 (10, 11, 8, 11, 11, 4, 5, 6, 4, 4, 3, 1, 0, 29, 14, 9, 5, 11, 3, 7, 5, 4, 6, 1, 1, 0), # 17 (13, 9, 13, 15, 5, 9, 8, 5, 5, 4, 0, 1, 0, 19, 18, 9, 9, 9, 12, 8, 6, 4, 3, 5, 1, 0), # 18 (22, 22, 14, 12, 16, 6, 9, 5, 9, 5, 2, 1, 0, 14, 20, 11, 18, 18, 2, 4, 5, 7, 2, 3, 2, 0), # 19 (14, 11, 13, 12, 12, 4, 2, 4, 6, 2, 2, 3, 0, 13, 16, 14, 5, 7, 10, 5, 4, 7, 2, 5, 1, 0), # 20 (13, 26, 17, 12, 19, 5, 5, 5, 6, 8, 4, 2, 0, 16, 16, 14, 13, 12, 8, 4, 9, 4, 7, 2, 5, 0), # 21 (8, 20, 15, 4, 10, 6, 6, 4, 10, 4, 0, 0, 0, 18, 11, 12, 7, 12, 8, 9, 2, 5, 6, 3, 1, 0), # 22 (17, 21, 17, 13, 15, 5, 10, 5, 8, 3, 2, 0, 0, 17, 11, 14, 4, 14, 8, 8, 2, 7, 2, 3, 2, 0), # 23 (23, 14, 9, 14, 14, 8, 7, 7, 6, 2, 2, 1, 0, 14, 22, 9, 10, 13, 8, 4, 4, 5, 9, 1, 0, 0), # 24 (20, 12, 12, 18, 9, 5, 12, 6, 8, 1, 3, 2, 0, 18, 14, 4, 5, 10, 13, 1, 5, 7, 7, 2, 1, 0), # 25 (15, 16, 11, 15, 12, 5, 1, 5, 9, 1, 0, 0, 0, 19, 16, 7, 13, 15, 10, 7, 7, 4, 1, 1, 0, 0), # 26 (23, 16, 11, 15, 15, 4, 7, 7, 5, 4, 3, 2, 0, 13, 18, 13, 17, 11, 9, 6, 3, 5, 3, 3, 1, 0), # 27 (19, 18, 17, 18, 12, 5, 3, 5, 9, 4, 2, 0, 0, 10, 11, 13, 11, 10, 9, 10, 3, 7, 6, 3, 2, 0), # 28 (16, 11, 16, 12, 12, 8, 8, 6, 5, 4, 3, 3, 0, 9, 10, 9, 16, 12, 13, 9, 3, 7, 8, 1, 3, 0), # 29 (12, 11, 14, 17, 13, 6, 6, 6, 5, 9, 5, 2, 0, 16, 19, 12, 13, 11, 7, 2, 6, 8, 3, 2, 2, 0), # 30 (14, 23, 17, 13, 20, 6, 6, 9, 6, 3, 1, 1, 0, 19, 16, 8, 8, 10, 8, 5, 4, 9, 4, 2, 1, 0), # 31 (18, 14, 13, 14, 15, 5, 4, 6, 5, 0, 2, 3, 0, 20, 17, 7, 11, 13, 7, 5, 4, 10, 1, 6, 3, 0), # 32 (20, 22, 18, 11, 10, 1, 10, 3, 4, 8, 1, 4, 0, 25, 17, 10, 7, 10, 5, 10, 3, 9, 5, 2, 1, 0), # 33 (21, 14, 11, 19, 11, 10, 4, 10, 9, 4, 1, 1, 0, 16, 10, 20, 15, 20, 14, 9, 3, 4, 8, 3, 1, 0), # 34 (16, 22, 17, 10, 13, 3, 5, 7, 6, 4, 4, 1, 0, 18, 18, 14, 10, 14, 9, 3, 3, 10, 4, 0, 0, 0), # 35 (11, 11, 10, 17, 7, 4, 11, 5, 8, 3, 4, 1, 0, 15, 13, 18, 11, 9, 2, 8, 7, 7, 3, 4, 0, 0), # 36 (10, 24, 13, 15, 13, 4, 3, 9, 5, 5, 3, 1, 0, 13, 16, 12, 7, 12, 10, 6, 11, 12, 4, 3, 2, 0), # 37 (19, 17, 9, 11, 9, 4, 8, 4, 4, 3, 3, 1, 0, 16, 20, 16, 14, 11, 12, 3, 0, 4, 8, 3, 2, 0), # 38 (12, 18, 18, 22, 11, 3, 5, 7, 7, 4, 2, 0, 0, 13, 24, 14, 10, 13, 12, 5, 5, 6, 4, 5, 2, 0), # 39 (15, 18, 13, 16, 13, 5, 6, 7, 4, 1, 3, 2, 0, 18, 18, 10, 11, 9, 6, 12, 1, 9, 6, 4, 2, 0), # 40 (18, 16, 9, 8, 11, 5, 9, 7, 6, 3, 3, 1, 0, 17, 14, 14, 9, 13, 6, 8, 4, 8, 6, 3, 2, 0), # 41 (14, 12, 10, 14, 9, 4, 8, 7, 4, 3, 2, 0, 0, 13, 13, 9, 13, 8, 16, 4, 3, 4, 2, 2, 1, 0), # 42 (24, 16, 13, 12, 20, 8, 7, 5, 5, 3, 1, 2, 0, 18, 12, 8, 8, 13, 8, 5, 6, 9, 5, 3, 2, 0), # 43 (16, 12, 12, 14, 18, 5, 9, 8, 3, 3, 1, 2, 0, 12, 17, 10, 8, 19, 11, 8, 6, 7, 3, 4, 2, 0), # 44 (11, 18, 14, 22, 13, 4, 11, 4, 8, 1, 3, 1, 0, 19, 13, 12, 14, 14, 3, 6, 5, 6, 4, 1, 3, 0), # 45 (21, 10, 14, 15, 7, 5, 6, 5, 10, 4, 0, 5, 0, 22, 14, 12, 10, 16, 9, 7, 3, 6, 6, 2, 1, 0), # 46 (14, 22, 14, 19, 15, 3, 9, 7, 5, 3, 0, 0, 0, 12, 21, 11, 8, 11, 6, 6, 9, 10, 2, 2, 2, 0), # 47 (28, 15, 8, 15, 14, 6, 5, 9, 12, 1, 0, 1, 0, 11, 13, 6, 9, 16, 3, 6, 3, 6, 0, 2, 3, 0), # 48 (10, 18, 17, 17, 14, 6, 6, 4, 5, 6, 1, 1, 0, 18, 15, 11, 10, 12, 7, 7, 4, 4, 3, 1, 0, 0), # 49 (13, 14, 8, 20, 13, 12, 6, 5, 3, 5, 5, 0, 0, 16, 14, 11, 5, 17, 7, 7, 5, 6, 5, 5, 1, 0), # 50 (19, 17, 22, 27, 16, 4, 2, 3, 7, 4, 1, 1, 0, 19, 10, 10, 9, 11, 10, 6, 2, 5, 6, 5, 1, 0), # 51 (12, 12, 19, 11, 9, 8, 7, 7, 8, 1, 1, 3, 0, 17, 18, 9, 6, 13, 8, 5, 4, 13, 3, 2, 1, 0), # 52 (10, 15, 13, 11, 13, 5, 5, 7, 4, 2, 1, 2, 0, 15, 15, 6, 6, 16, 4, 5, 6, 6, 4, 1, 3, 0), # 53 (24, 20, 16, 13, 5, 10, 8, 11, 2, 1, 2, 0, 0, 19, 18, 13, 7, 17, 11, 7, 5, 4, 3, 0, 0, 0), # 54 (18, 18, 14, 17, 11, 6, 6, 3, 5, 4, 0, 0, 0, 11, 19, 10, 5, 13, 10, 5, 4, 6, 5, 1, 2, 0), # 55 (20, 13, 14, 20, 15, 7, 7, 2, 7, 7, 3, 0, 0, 16, 19, 11, 6, 15, 11, 4, 4, 7, 8, 4, 1, 0), # 56 (16, 13, 20, 10, 6, 8, 3, 6, 7, 1, 1, 1, 0, 19, 17, 10, 9, 14, 4, 6, 5, 9, 6, 2, 2, 0), # 57 (19, 15, 10, 20, 8, 7, 6, 9, 3, 7, 3, 0, 0, 18, 15, 6, 8, 13, 5, 7, 4, 5, 3, 7, 4, 0), # 58 (14, 10, 13, 20, 15, 5, 4, 6, 2, 1, 2, 0, 0, 20, 13, 14, 9, 16, 7, 6, 1, 9, 2, 2, 2, 0), # 59 (13, 14, 7, 15, 9, 6, 5, 5, 3, 2, 2, 3, 0, 17, 16, 11, 2, 14, 5, 10, 4, 6, 6, 1, 1, 0), # 60 (16, 16, 13, 13, 11, 9, 6, 2, 8, 3, 2, 0, 0, 18, 9, 7, 12, 18, 6, 6, 3, 6, 5, 4, 2, 0), # 61 (15, 15, 15, 6, 10, 8, 5, 4, 5, 2, 2, 3, 0, 21, 14, 7, 8, 15, 14, 5, 3, 4, 8, 3, 2, 0), # 62 (16, 8, 23, 17, 10, 5, 4, 12, 9, 2, 2, 0, 0, 13, 21, 15, 9, 19, 4, 8, 7, 3, 5, 3, 1, 0), # 63 (18, 13, 22, 10, 6, 5, 4, 4, 3, 4, 2, 2, 0, 16, 16, 9, 5, 12, 6, 7, 6, 7, 6, 3, 1, 0), # 64 (15, 14, 15, 14, 16, 6, 9, 4, 5, 2, 6, 2, 0, 16, 9, 20, 7, 14, 8, 5, 4, 7, 8, 2, 1, 0), # 65 (19, 14, 22, 15, 14, 7, 7, 6, 8, 4, 3, 1, 0, 21, 20, 11, 8, 13, 4, 8, 5, 5, 5, 4, 0, 0), # 66 (16, 17, 13, 15, 9, 6, 3, 8, 6, 1, 6, 0, 0, 16, 21, 16, 11, 13, 6, 10, 5, 8, 3, 1, 2, 0), # 67 (20, 13, 13, 17, 12, 4, 7, 9, 6, 4, 4, 6, 0, 17, 14, 7, 7, 10, 10, 6, 2, 7, 2, 4, 1, 0), # 68 (15, 21, 13, 18, 11, 10, 5, 3, 5, 4, 2, 2, 0, 16, 12, 7, 15, 15, 4, 10, 3, 5, 4, 4, 1, 0), # 69 (15, 13, 17, 8, 9, 7, 5, 2, 6, 1, 5, 0, 0, 20, 9, 14, 3, 17, 6, 10, 8, 3, 6, 1, 0, 0), # 70 (12, 16, 13, 17, 15, 11, 11, 4, 11, 6, 2, 0, 0, 15, 14, 7, 11, 10, 0, 7, 4, 6, 2, 3, 1, 0), # 71 (20, 14, 12, 15, 13, 4, 8, 5, 3, 4, 1, 3, 0, 14, 16, 15, 13, 7, 6, 12, 8, 10, 10, 3, 0, 0), # 72 (17, 16, 16, 15, 16, 8, 6, 4, 4, 3, 4, 1, 0, 21, 16, 12, 14, 19, 7, 3, 7, 6, 5, 0, 1, 0), # 73 (17, 12, 15, 12, 12, 6, 6, 6, 6, 2, 2, 0, 0, 12, 17, 10, 9, 15, 5, 2, 7, 8, 8, 3, 2, 0), # 74 (13, 10, 14, 16, 12, 10, 7, 2, 8, 2, 3, 1, 0, 20, 8, 11, 11, 14, 4, 7, 3, 5, 1, 4, 0, 0), # 75 (19, 22, 10, 17, 7, 6, 10, 5, 6, 2, 4, 1, 0, 11, 16, 11, 4, 13, 7, 8, 3, 10, 1, 5, 3, 0), # 76 (9, 16, 18, 8, 7, 8, 4, 5, 2, 2, 5, 2, 0, 19, 16, 14, 10, 17, 7, 9, 2, 4, 5, 2, 0, 0), # 77 (16, 21, 13, 7, 13, 9, 8, 4, 4, 2, 5, 0, 0, 15, 20, 13, 5, 11, 16, 7, 3, 5, 6, 3, 1, 0), # 78 (18, 10, 14, 11, 10, 8, 11, 3, 12, 1, 2, 2, 0, 16, 12, 10, 8, 9, 8, 7, 4, 7, 4, 2, 1, 0), # 79 (14, 19, 9, 16, 19, 7, 6, 8, 8, 1, 5, 1, 0, 13, 14, 5, 5, 11, 6, 3, 5, 6, 6, 2, 3, 0), # 80 (11, 13, 10, 10, 18, 4, 4, 2, 3, 1, 1, 1, 0, 13, 2, 13, 7, 11, 4, 6, 3, 3, 4, 4, 3, 0), # 81 (16, 17, 11, 12, 11, 6, 6, 4, 7, 2, 5, 0, 0, 15, 14, 14, 19, 14, 2, 5, 1, 7, 3, 4, 1, 0), # 82 (15, 13, 15, 23, 10, 6, 3, 4, 3, 0, 1, 3, 0, 14, 18, 11, 8, 11, 11, 6, 1, 10, 3, 2, 0, 0), # 83 (17, 11, 14, 17, 16, 4, 5, 4, 5, 3, 1, 0, 0, 17, 15, 13, 6, 9, 5, 2, 1, 4, 6, 1, 0, 0), # 84 (18, 14, 16, 11, 10, 4, 4, 4, 6, 2, 2, 1, 0, 14, 11, 9, 4, 9, 8, 7, 3, 9, 2, 5, 0, 0), # 85 (13, 19, 11, 15, 9, 6, 8, 4, 5, 4, 1, 4, 0, 11, 19, 8, 5, 13, 4, 8, 7, 9, 2, 3, 2, 0), # 86 (10, 11, 13, 17, 12, 5, 9, 4, 10, 4, 3, 0, 0, 17, 15, 10, 9, 9, 10, 7, 3, 8, 6, 1, 1, 0), # 87 (18, 12, 15, 16, 7, 5, 1, 2, 8, 2, 3, 4, 0, 18, 18, 9, 3, 18, 8, 8, 1, 8, 3, 5, 0, 0), # 88 (21, 15, 17, 14, 14, 5, 5, 8, 6, 2, 0, 2, 0, 15, 12, 8, 12, 15, 3, 5, 2, 5, 4, 4, 2, 0), # 89 (18, 13, 15, 9, 10, 8, 4, 7, 5, 4, 3, 0, 0, 14, 8, 11, 5, 11, 9, 4, 2, 4, 8, 5, 2, 0), # 90 (16, 12, 12, 20, 10, 6, 6, 4, 1, 2, 2, 2, 0, 17, 11, 5, 9, 12, 8, 5, 3, 4, 5, 1, 0, 0), # 91 (22, 16, 9, 14, 7, 4, 5, 4, 10, 3, 2, 1, 0, 12, 9, 10, 12, 11, 10, 3, 4, 3, 5, 2, 1, 0), # 92 (19, 13, 20, 11, 12, 6, 8, 8, 12, 1, 1, 0, 0, 18, 17, 6, 3, 11, 5, 7, 2, 9, 6, 2, 2, 0), # 93 (19, 15, 11, 21, 8, 7, 4, 1, 6, 2, 2, 0, 0, 21, 14, 10, 6, 21, 6, 7, 3, 6, 3, 4, 0, 0), # 94 (15, 15, 12, 24, 14, 6, 8, 3, 10, 3, 3, 2, 0, 24, 12, 11, 7, 10, 7, 7, 5, 6, 4, 2, 0, 0), # 95 (13, 15, 14, 9, 18, 8, 4, 4, 6, 7, 2, 0, 0, 14, 11, 5, 9, 16, 11, 5, 6, 5, 4, 1, 3, 0), # 96 (12, 7, 15, 14, 18, 5, 4, 6, 7, 2, 6, 3, 0, 19, 16, 6, 6, 19, 2, 7, 4, 4, 8, 2, 2, 0), # 97 (11, 8, 8, 9, 9, 5, 3, 4, 6, 2, 2, 1, 0, 16, 19, 12, 5, 7, 11, 5, 6, 6, 3, 2, 1, 0), # 98 (10, 13, 11, 13, 14, 4, 4, 2, 10, 3, 1, 1, 0, 16, 14, 9, 6, 13, 3, 2, 3, 6, 5, 0, 0, 0), # 99 (20, 11, 10, 14, 12, 5, 7, 3, 7, 3, 4, 1, 0, 12, 10, 12, 1, 15, 4, 8, 6, 5, 7, 1, 2, 0), # 100 (11, 10, 11, 10, 15, 5, 5, 3, 7, 1, 1, 0, 0, 16, 12, 8, 10, 15, 9, 4, 5, 2, 4, 6, 2, 0), # 101 (12, 12, 13, 11, 11, 9, 6, 6, 6, 2, 3, 1, 0, 17, 12, 9, 9, 15, 6, 5, 5, 12, 6, 1, 0, 0), # 102 (16, 18, 12, 18, 8, 7, 2, 4, 9, 1, 1, 5, 0, 15, 17, 13, 4, 16, 2, 6, 4, 4, 3, 3, 3, 0), # 103 (17, 11, 12, 11, 13, 8, 6, 3, 5, 5, 3, 1, 0, 19, 5, 9, 6, 12, 9, 5, 5, 3, 10, 1, 0, 0), # 104 (13, 15, 12, 12, 11, 9, 4, 3, 4, 1, 4, 1, 0, 16, 17, 12, 2, 16, 6, 6, 3, 6, 7, 2, 0, 0), # 105 (11, 13, 12, 14, 7, 9, 7, 8, 7, 1, 2, 1, 0, 16, 11, 8, 5, 10, 7, 4, 4, 7, 1, 2, 1, 0), # 106 (11, 8, 11, 17, 16, 5, 6, 3, 7, 1, 2, 2, 0, 11, 13, 6, 4, 13, 6, 3, 2, 6, 10, 1, 1, 0), # 107 (17, 10, 9, 15, 15, 4, 5, 4, 12, 4, 2, 1, 0, 12, 14, 9, 7, 16, 3, 6, 4, 4, 1, 6, 1, 0), # 108 (26, 11, 14, 21, 13, 5, 5, 5, 3, 1, 5, 1, 0, 17, 10, 7, 6, 8, 8, 8, 3, 5, 2, 2, 1, 0), # 109 (14, 14, 21, 20, 21, 5, 1, 4, 2, 2, 1, 3, 0, 12, 14, 12, 9, 15, 3, 5, 3, 5, 5, 3, 0, 0), # 110 (19, 16, 19, 14, 14, 8, 2, 1, 7, 2, 2, 3, 0, 20, 10, 7, 9, 11, 6, 4, 4, 3, 5, 1, 1, 0), # 111 (20, 12, 10, 9, 15, 2, 6, 4, 8, 5, 2, 1, 0, 20, 8, 7, 8, 11, 8, 5, 3, 6, 8, 2, 2, 0), # 112 (11, 13, 17, 14, 16, 9, 6, 4, 7, 3, 2, 0, 0, 14, 16, 10, 6, 11, 7, 4, 2, 6, 2, 2, 2, 0), # 113 (13, 13, 13, 10, 13, 3, 3, 1, 4, 3, 5, 1, 0, 10, 15, 6, 9, 11, 1, 7, 3, 6, 3, 2, 0, 0), # 114 (10, 14, 17, 12, 14, 8, 5, 2, 5, 4, 1, 1, 0, 17, 10, 17, 9, 9, 10, 3, 5, 8, 3, 2, 0, 0), # 115 (14, 7, 14, 14, 17, 8, 5, 6, 3, 3, 1, 0, 0, 10, 11, 10, 8, 15, 6, 5, 7, 9, 6, 3, 1, 0), # 116 (11, 15, 15, 12, 13, 5, 3, 5, 7, 2, 1, 1, 0, 18, 8, 15, 11, 7, 8, 1, 4, 6, 5, 2, 1, 0), # 117 (17, 6, 15, 11, 12, 5, 5, 2, 5, 5, 2, 1, 0, 24, 7, 10, 6, 16, 2, 6, 9, 3, 4, 1, 1, 0), # 118 (17, 16, 17, 13, 7, 5, 4, 7, 4, 0, 3, 1, 0, 15, 10, 5, 7, 9, 1, 3, 5, 4, 3, 3, 1, 0), # 119 (11, 9, 14, 14, 15, 3, 3, 2, 6, 2, 1, 0, 0, 17, 11, 8, 9, 12, 9, 1, 1, 4, 6, 1, 2, 0), # 120 (12, 12, 14, 7, 14, 5, 3, 2, 7, 2, 2, 1, 0, 12, 11, 12, 7, 6, 4, 2, 0, 5, 5, 1, 0, 0), # 121 (11, 9, 14, 14, 15, 9, 9, 3, 6, 3, 0, 1, 0, 13, 7, 4, 6, 14, 6, 10, 4, 5, 6, 0, 0, 0), # 122 (8, 14, 19, 15, 17, 2, 1, 4, 5, 2, 2, 1, 0, 18, 11, 13, 11, 6, 10, 3, 4, 8, 2, 2, 0, 0), # 123 (14, 8, 12, 16, 8, 2, 5, 2, 6, 4, 1, 0, 0, 22, 11, 7, 8, 12, 9, 5, 4, 6, 0, 1, 0, 0), # 124 (17, 13, 10, 18, 10, 4, 9, 3, 5, 3, 0, 4, 0, 23, 12, 10, 7, 20, 9, 3, 7, 7, 6, 1, 0, 0), # 125 (12, 9, 9, 7, 10, 2, 6, 3, 6, 1, 2, 1, 0, 9, 16, 4, 10, 13, 2, 1, 5, 6, 2, 3, 0, 0), # 126 (14, 11, 6, 11, 15, 3, 5, 3, 8, 1, 2, 2, 0, 12, 9, 8, 7, 5, 7, 9, 5, 7, 4, 4, 1, 0), # 127 (13, 11, 13, 12, 14, 6, 5, 5, 3, 2, 1, 1, 0, 20, 12, 12, 6, 11, 13, 3, 6, 8, 1, 5, 2, 0), # 128 (18, 7, 12, 12, 13, 2, 3, 5, 7, 0, 1, 2, 0, 15, 11, 13, 12, 15, 6, 6, 1, 6, 4, 3, 1, 0), # 129 (8, 8, 12, 17, 11, 3, 7, 2, 2, 3, 0, 0, 0, 10, 7, 9, 10, 14, 6, 1, 3, 5, 4, 2, 1, 0), # 130 (13, 10, 17, 10, 9, 5, 4, 1, 4, 3, 2, 2, 0, 14, 10, 8, 11, 15, 7, 6, 3, 5, 2, 0, 0, 0), # 131 (22, 6, 13, 10, 11, 4, 9, 5, 10, 2, 3, 0, 0, 11, 15, 4, 7, 12, 13, 4, 2, 3, 5, 2, 2, 0), # 132 (8, 18, 15, 11, 13, 6, 4, 6, 11, 3, 0, 3, 0, 13, 13, 10, 11, 7, 7, 3, 5, 4, 2, 1, 0, 0), # 133 (14, 17, 10, 8, 11, 2, 8, 5, 7, 2, 3, 3, 0, 13, 8, 11, 8, 11, 4, 2, 3, 3, 3, 0, 1, 0), # 134 (7, 10, 11, 14, 7, 15, 7, 3, 3, 2, 0, 0, 0, 15, 6, 10, 4, 9, 3, 3, 6, 6, 6, 1, 1, 0), # 135 (13, 11, 9, 6, 10, 2, 0, 4, 4, 4, 2, 0, 0, 15, 9, 10, 7, 11, 3, 5, 1, 10, 1, 2, 0, 0), # 136 (15, 7, 11, 9, 10, 2, 2, 3, 4, 4, 1, 0, 0, 14, 14, 5, 3, 11, 6, 6, 4, 4, 5, 2, 2, 0), # 137 (6, 11, 14, 15, 9, 7, 4, 2, 0, 0, 3, 0, 0, 7, 12, 8, 8, 12, 3, 5, 4, 4, 1, 1, 1, 0), # 138 (10, 8, 13, 7, 11, 3, 4, 7, 5, 2, 3, 0, 0, 18, 13, 4, 8, 8, 3, 3, 3, 3, 6, 5, 2, 0), # 139 (14, 16, 13, 12, 13, 3, 0, 3, 6, 1, 2, 1, 0, 10, 7, 5, 7, 8, 5, 1, 3, 8, 5, 1, 1, 0), # 140 (14, 12, 18, 10, 12, 4, 2, 2, 7, 0, 1, 0, 0, 11, 4, 12, 7, 15, 6, 5, 1, 4, 5, 4, 2, 0), # 141 (11, 9, 14, 12, 6, 6, 2, 4, 8, 2, 4, 0, 0, 17, 12, 12, 5, 9, 8, 5, 2, 6, 9, 4, 0, 0), # 142 (15, 9, 10, 16, 7, 6, 7, 2, 2, 3, 2, 1, 0, 20, 11, 13, 9, 12, 7, 1, 10, 10, 3, 2, 2, 0), # 143 (17, 11, 7, 16, 14, 6, 4, 2, 6, 0, 1, 2, 0, 14, 12, 9, 7, 17, 5, 4, 2, 4, 5, 3, 0, 0), # 144 (12, 11, 12, 13, 8, 5, 5, 5, 6, 2, 1, 0, 0, 14, 11, 6, 9, 11, 7, 4, 4, 6, 5, 3, 1, 0), # 145 (9, 7, 9, 7, 6, 5, 4, 3, 6, 2, 1, 0, 0, 20, 8, 11, 12, 10, 5, 4, 5, 6, 4, 1, 1, 0), # 146 (14, 9, 10, 13, 8, 1, 4, 2, 7, 4, 1, 0, 0, 17, 15, 6, 6, 12, 5, 3, 4, 5, 3, 3, 0, 0), # 147 (12, 4, 8, 16, 10, 4, 5, 4, 5, 1, 1, 1, 0, 11, 7, 7, 6, 13, 3, 2, 3, 3, 3, 2, 2, 0), # 148 (13, 11, 17, 12, 8, 3, 5, 3, 4, 3, 4, 2, 0, 16, 8, 11, 4, 13, 4, 4, 3, 5, 3, 2, 1, 0), # 149 (10, 7, 19, 10, 8, 4, 7, 4, 6, 1, 3, 0, 0, 13, 10, 10, 8, 12, 5, 3, 4, 9, 3, 2, 0, 0), # 150 (16, 10, 7, 11, 11, 3, 5, 9, 3, 2, 2, 0, 0, 16, 5, 9, 6, 9, 2, 1, 1, 5, 6, 6, 0, 0), # 151 (11, 12, 6, 12, 9, 2, 3, 5, 5, 2, 1, 2, 0, 7, 9, 3, 4, 12, 6, 2, 4, 7, 5, 5, 0, 0), # 152 (11, 6, 10, 9, 8, 3, 3, 3, 7, 4, 1, 0, 0, 11, 14, 2, 11, 12, 4, 4, 8, 5, 4, 1, 0, 0), # 153 (14, 11, 7, 12, 12, 5, 7, 8, 7, 3, 2, 1, 0, 9, 15, 14, 4, 2, 7, 4, 6, 1, 5, 6, 2, 0), # 154 (11, 9, 10, 9, 14, 8, 5, 3, 3, 1, 1, 1, 0, 15, 11, 3, 6, 10, 4, 6, 3, 5, 6, 2, 0, 0), # 155 (14, 7, 14, 15, 8, 9, 5, 2, 5, 1, 4, 2, 0, 7, 10, 8, 3, 10, 5, 5, 4, 1, 5, 0, 1, 0), # 156 (10, 11, 13, 14, 6, 13, 3, 1, 7, 3, 0, 2, 0, 15, 10, 13, 5, 18, 5, 4, 2, 7, 4, 8, 1, 0), # 157 (14, 9, 7, 12, 7, 7, 3, 4, 7, 3, 3, 1, 0, 16, 11, 5, 4, 11, 8, 2, 3, 5, 9, 2, 0, 0), # 158 (11, 10, 9, 13, 14, 4, 3, 2, 2, 5, 0, 0, 0, 19, 6, 5, 5, 10, 5, 3, 2, 6, 7, 4, 2, 0), # 159 (8, 6, 11, 10, 13, 7, 3, 5, 6, 4, 0, 1, 0, 13, 10, 2, 3, 8, 8, 5, 4, 6, 2, 6, 0, 0), # 160 (6, 8, 15, 12, 9, 8, 3, 3, 8, 2, 1, 1, 0, 15, 7, 11, 3, 14, 6, 3, 4, 6, 1, 3, 1, 0), # 161 (12, 9, 14, 5, 10, 2, 3, 6, 2, 2, 1, 1, 0, 5, 13, 11, 2, 9, 4, 4, 1, 5, 2, 0, 0, 0), # 162 (8, 7, 8, 18, 5, 4, 3, 5, 1, 1, 0, 2, 0, 14, 6, 9, 3, 8, 5, 3, 3, 3, 2, 3, 1, 0), # 163 (13, 11, 7, 7, 10, 3, 5, 5, 5, 1, 1, 0, 0, 3, 8, 7, 5, 11, 3, 1, 3, 6, 6, 1, 1, 0), # 164 (16, 16, 6, 15, 7, 3, 2, 3, 3, 1, 0, 3, 0, 14, 19, 7, 7, 10, 3, 1, 5, 3, 1, 1, 2, 0), # 165 (13, 6, 8, 13, 16, 2, 4, 9, 4, 0, 1, 0, 0, 8, 8, 4, 4, 7, 5, 2, 5, 5, 5, 1, 0, 0), # 166 (10, 10, 9, 6, 7, 2, 1, 2, 5, 2, 3, 1, 0, 10, 12, 12, 6, 3, 4, 4, 5, 5, 1, 1, 0, 0), # 167 (11, 6, 6, 10, 12, 2, 1, 4, 6, 2, 2, 2, 0, 14, 13, 7, 7, 10, 2, 3, 5, 7, 4, 0, 0, 0), # 168 (17, 3, 5, 9, 7, 4, 2, 2, 5, 2, 0, 0, 0, 16, 9, 7, 5, 11, 4, 0, 4, 5, 7, 0, 0, 0), # 169 (10, 8, 8, 11, 6, 4, 2, 3, 5, 3, 1, 1, 0, 8, 10, 3, 4, 12, 3, 5, 2, 1, 3, 2, 0, 0), # 170 (6, 4, 4, 4, 5, 4, 3, 2, 2, 0, 0, 1, 0, 7, 6, 6, 2, 9, 4, 2, 4, 5, 3, 1, 0, 0), # 171 (8, 6, 14, 3, 8, 6, 2, 2, 5, 0, 1, 1, 0, 12, 5, 4, 3, 10, 1, 2, 2, 0, 5, 2, 1, 0), # 172 (12, 7, 11, 8, 6, 6, 4, 1, 4, 1, 0, 0, 0, 9, 10, 5, 2, 11, 3, 3, 2, 5, 2, 0, 0, 0), # 173 (6, 6, 9, 5, 5, 3, 3, 0, 3, 2, 0, 0, 0, 9, 9, 2, 2, 11, 2, 6, 4, 7, 2, 2, 1, 0), # 174 (4, 6, 6, 4, 9, 3, 3, 1, 6, 1, 1, 0, 0, 7, 7, 7, 4, 9, 6, 0, 2, 4, 2, 2, 1, 0), # 175 (7, 4, 10, 6, 4, 3, 2, 1, 4, 0, 0, 0, 0, 7, 15, 5, 2, 6, 2, 4, 1, 4, 3, 4, 0, 0), # 176 (7, 1, 2, 4, 4, 0, 2, 2, 2, 0, 0, 0, 0, 9, 6, 2, 6, 3, 3, 2, 3, 2, 0, 2, 0, 0), # 177 (3, 2, 5, 3, 3, 0, 5, 3, 4, 0, 2, 0, 0, 3, 4, 5, 6, 4, 3, 5, 1, 2, 1, 5, 1, 0), # 178 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179 ) station_arriving_intensity = ( (8.033384925394829, 8.840461695509067, 8.33805316738001, 9.943468438181492, 8.887496972175379, 5.021847891259743, 6.6336569845982645, 7.445081876767077, 9.744158499468812, 6.332824024835792, 6.728424262216965, 7.836664125289878, 8.134208340125381), # 0 (8.566923443231959, 9.424097110631614, 8.888554546128244, 10.600230805242587, 9.475984539958779, 5.353573734468089, 7.07115030602191, 7.9352219566491335, 10.387592522132655, 6.75036910764344, 7.172953817529811, 8.353946657302968, 8.671666635903767), # 1 (9.09875681436757, 10.005416273425567, 9.436867656875862, 11.254380327463672, 10.062340757999591, 5.683976183219912, 7.506909612737127, 8.423400396647072, 11.028458891004078, 7.166262040032874, 7.615717038042101, 8.869172243284888, 9.206983725135505), # 2 (9.6268124690345, 10.582112803098315, 9.980817390911767, 11.903322252051318, 10.644258681603043, 6.011744996136181, 7.939205826636729, 8.907681851991212, 11.664216257473749, 7.578852317481889, 8.054957458923813, 9.380297095888738, 9.738036490006762), # 3 (10.149017837465571, 11.15188031885724, 10.518228639524859, 12.544461826212112, 11.219431366074389, 6.335569931837869, 8.366309869613534, 9.386130977911865, 12.292323272932332, 7.986489435468286, 8.48891861534492, 9.885277427767623, 10.262701812703709), # 4 (10.663300349893618, 11.712412439909741, 11.04692629400403, 13.17520429715263, 11.785551866718848, 6.654140748945943, 8.786492663560358, 9.856812429639348, 12.910238588770495, 8.387522889469862, 8.915844042475412, 10.382069451574637, 10.778856575412524), # 5 (11.167587436551466, 12.261402785463202, 11.564735245638186, 13.792954912079445, 12.34031323884167, 6.9661472060813825, 9.19802513037002, 10.317790862403982, 13.515420856378904, 8.780302174964413, 9.333977275485251, 10.868629379962893, 11.284377660319372), # 6 (11.65980652767195, 12.79654497472501, 12.069480385716217, 14.39511891819914, 12.881408537748086, 7.270279061865153, 9.599178191935335, 10.767130931436084, 14.105328727148231, 9.16317678742974, 9.74156184954443, 11.342913425585486, 11.777141949610431), # 7 (12.137885053487896, 13.31553262690256, 12.558986605527034, 14.979101562718284, 13.406530818743338, 7.565226074918224, 9.988222770149116, 11.20289729196596, 14.67742085246913, 9.53449622234364, 10.136841299822914, 11.802877801095525, 12.255026325471867), # 8 (12.599750444232136, 13.816059361203237, 13.031078796359527, 15.54230809284347, 13.913373137132655, 7.849678003861574, 10.363429786904192, 11.623154599223941, 15.229155883732279, 9.892609975183907, 10.518059161490685, 12.246478719146102, 12.71590767008986), # 9 (13.043330130137491, 14.295818796834425, 13.483581849502599, 16.08214375578126, 14.399628548221282, 8.122324607316171, 10.723070164093368, 12.025967508440338, 15.757992472328343, 10.235867541428343, 10.883458969717719, 12.671672392390324, 13.157662865650577), # 10 (13.466551541436809, 14.752504553003531, 13.914320656245145, 16.596013798738237, 14.862990107314454, 8.38185564390299, 11.065414823609466, 12.409400674845465, 16.26138926964799, 10.56261841655475, 11.231284259673998, 13.076415033481297, 13.57816879434018), # 11 (13.8673421083629, 15.183810248917917, 14.321120107876064, 17.08132346892098, 15.301150869717404, 8.626960872242991, 11.388734687345298, 12.771518753669634, 16.736804927081888, 10.871212096040916, 11.559778566529495, 13.45866285507211, 13.975302338344855), # 12 (14.243629261148602, 15.587429503784993, 14.701805095684259, 17.53547801353607, 15.711803890735363, 8.856330050957158, 11.69130067719369, 13.11038640014317, 17.181698096020693, 11.159998075364648, 11.86718542545419, 13.816372069815873, 14.346940379850777), # 13 (14.593340430026746, 15.961055936812143, 15.054200510958635, 17.95588267979007, 16.092642225673583, 9.068652938666455, 11.971383715047459, 13.424068269496395, 17.593527427855076, 11.427325850003735, 12.151748371618055, 14.147498890365696, 14.690959801044102), # 14 (14.914403045230168, 16.30238316720675, 15.376131244988068, 18.339942714889578, 16.441358929837293, 9.26261929399186, 12.227254722799401, 13.71062901695961, 17.96975157397571, 11.671544915435986, 12.411710940191071, 14.449999529374674, 15.00523748411101), # 15 (15.204744536991681, 16.609104814176213, 15.66542218906148, 18.685063366041145, 16.755647058531732, 9.436918875554335, 12.457184622342362, 13.968133297763139, 18.307829185773258, 11.891004767139194, 12.64531666634322, 14.721830199495905, 15.287650311237673), # 16 (15.46229233554412, 16.878914496927916, 15.919898234467764, 18.98864988045138, 17.033199667062142, 9.590241441974857, 12.659444335569138, 14.19464576713731, 18.605218914638375, 12.084054900591148, 12.850809085244478, 14.960947113382488, 15.536075164610265), # 17 (15.684973871120327, 17.10950583466924, 16.137384272495808, 19.248107505326846, 17.271709810733743, 9.721276751874406, 12.832304784372562, 14.388231080312417, 18.859379411961754, 12.249044811269659, 13.026431732064815, 15.165306483687544, 15.748388926414954), # 18 (15.870716573953118, 17.29857244660759, 16.315705194434525, 19.460841487874106, 17.468870544851786, 9.828714563873934, 12.974036890645431, 14.546953892518793, 19.067769329134048, 12.384323994652526, 13.170428141974206, 15.332864523064154, 15.922468478837914), # 19 (16.01744787427533, 17.44380795195034, 16.452685891572806, 19.624257075299766, 17.62237492472151, 9.91124463659443, 13.08291157628058, 14.668878858986748, 19.22784731754592, 12.488241946217535, 13.28104185014264, 15.461577444165426, 16.05619070406532), # 20 (16.123095202319785, 17.542905969904893, 16.54615125519955, 19.73575951481038, 17.729916005648143, 9.967556728656858, 13.157199763170816, 14.752070634946598, 19.337072028588036, 12.559148161442488, 13.356516391740096, 15.54940145964447, 16.147432484283325), # 21 (16.18558598831933, 17.59356011967863, 16.593926176603656, 19.79275405361254, 17.78918684293692, 9.996340598682188, 13.19517237320896, 14.794593875628664, 19.392902113651065, 12.595392135805188, 13.395095301936545, 15.594292782154383, 16.194070701678125), # 22 (16.208629381348224, 17.599557750342935, 16.599877091906723, 19.799889300411525, 17.804371289652156, 10.0, 13.199686403614942, 14.79919012345679, 19.399881975308645, 12.599667636031093, 13.399932859458785, 15.599836122542294, 16.2), # 23 (16.225619860854646, 17.59605925925926, 16.598903703703705, 19.799011111111113, 17.812972181783763, 10.0, 13.197206100217867, 14.7928, 19.398946666666667, 12.59704098765432, 13.39939932659933, 15.598538271604937, 16.2), # 24 (16.242251568338528, 17.589163237311386, 16.59698216735254, 19.797273662551444, 17.821383912951205, 10.0, 13.192318244170096, 14.78024691358025, 19.3970987654321, 12.591870141746686, 13.39834143908218, 15.595976223136716, 16.2), # 25 (16.258523230476854, 17.578975034293556, 16.594138820301787, 19.79469670781893, 17.82960618947377, 10.0, 13.185098749293955, 14.76176790123457, 19.39436197530864, 12.58424113397348, 13.396768774161368, 15.592185093735715, 16.2), # 26 (16.27443357394662, 17.5656, 16.5904, 19.7913, 17.837638717670742, 10.0, 13.175623529411766, 14.7376, 19.39076, 12.57424, 13.39469090909091, 15.587200000000003, 16.2), # 27 (16.2899813254248, 17.549143484224967, 16.585792043895747, 19.787103292181072, 17.845481203861443, 10.0, 13.163968498345842, 14.707980246913582, 19.386316543209876, 12.561952775491541, 13.39211742112483, 15.581056058527665, 16.2), # 28 (16.3051652115884, 17.52971083676269, 16.580341289437587, 19.78212633744856, 17.853133354365152, 10.0, 13.150209569918506, 14.673145679012345, 19.381055308641976, 12.547465496113398, 13.389057887517147, 15.57378838591678, 16.2), # 29 (16.319983959114396, 17.50740740740741, 16.574074074074073, 19.77638888888889, 17.860594875501178, 10.0, 13.13442265795207, 14.633333333333333, 19.375, 12.530864197530866, 13.385521885521886, 15.56543209876543, 16.2), # 30 (16.334436294679772, 17.482338545953365, 16.567016735253773, 19.76991069958848, 17.867865473588814, 10.0, 13.116683676268863, 14.588780246913581, 19.368174320987656, 12.512234915409238, 13.381518992393067, 15.556022313671699, 16.2), # 31 (16.34852094496153, 17.45460960219479, 16.55919561042524, 19.762711522633747, 17.874944854947355, 10.0, 13.097068538691198, 14.539723456790126, 19.360601975308644, 12.49166368541381, 13.377058785384712, 15.545594147233656, 16.2), # 32 (16.362236636636634, 17.424325925925924, 16.55063703703704, 19.75481111111111, 17.8818327258961, 10.0, 13.075653159041394, 14.486400000000001, 19.352306666666667, 12.469236543209878, 13.372150841750841, 15.534182716049381, 16.2), # 33 (16.375582096382097, 17.391592866941014, 16.541367352537723, 19.746229218106997, 17.888528792754347, 10.0, 13.052513451141776, 14.429046913580246, 19.343312098765438, 12.445039524462736, 13.36680473874548, 15.521823136716964, 16.2), # 34 (16.388556050874893, 17.356515775034293, 16.53141289437586, 19.736985596707818, 17.895032761841392, 10.0, 13.027725328814654, 14.367901234567903, 19.333641975308645, 12.419158664837678, 13.361030053622645, 15.508550525834478, 16.2), # 35 (16.40115722679201, 17.3192, 16.5208, 19.7271, 17.901344339476537, 10.0, 13.001364705882352, 14.303200000000002, 19.32332, 12.391680000000001, 13.354836363636364, 15.494400000000002, 16.2), # 36 (16.41338435081044, 17.27975089163237, 16.50955500685871, 19.71659218106996, 17.907463231979076, 10.0, 12.97350749616719, 14.23518024691358, 19.31236987654321, 12.362689565615, 13.348233246040657, 15.479406675811616, 16.2), # 37 (16.425236149607162, 17.238273799725654, 16.49770425240055, 19.70548189300412, 17.913389145668305, 10.0, 12.944229613491487, 14.164079012345681, 19.300815308641976, 12.332273397347967, 13.341230278089538, 15.4636056698674, 16.2), # 38 (16.436711349859177, 17.194874074074075, 16.485274074074077, 19.69378888888889, 17.919121786863524, 10.0, 12.913606971677561, 14.090133333333334, 19.288680000000003, 12.300517530864198, 13.333837037037037, 15.447032098765431, 16.2), # 39 (16.44780867824346, 17.149657064471878, 16.472290809327845, 19.6815329218107, 17.924660861884032, 10.0, 12.88171548454773, 14.013580246913584, 19.27598765432099, 12.267508001828991, 13.326063100137175, 15.429721079103798, 16.2), # 40 (16.458526861437004, 17.102728120713305, 16.458780795610426, 19.66873374485597, 17.930006077049125, 10.0, 12.848631065924312, 13.934656790123459, 19.262761975308642, 12.233330845907636, 13.317918044643973, 15.411707727480568, 16.2), # 41 (16.4688646261168, 17.054192592592596, 16.444770370370374, 19.655411111111114, 17.935157138678093, 10.0, 12.814429629629629, 13.8536, 19.24902666666667, 12.198072098765433, 13.30941144781145, 15.393027160493828, 16.2), # 42 (16.47882069895983, 17.00415582990398, 16.430285871056242, 19.641584773662554, 17.940113753090245, 10.0, 12.779187089486001, 13.770646913580249, 19.234805432098767, 12.161817796067673, 13.300552886893627, 15.373714494741657, 16.2), # 43 (16.488393806643085, 16.9527231824417, 16.4153536351166, 19.62727448559671, 17.944875626604873, 10.0, 12.742979359315743, 13.686034567901238, 19.220121975308643, 12.124653973479653, 13.291351939144532, 15.353804846822133, 16.2), # 44 (16.497582675843546, 16.900000000000002, 16.400000000000002, 19.6125, 17.949442465541274, 10.0, 12.705882352941178, 13.600000000000001, 19.205, 12.086666666666668, 13.281818181818181, 15.333333333333332, 16.2), # 45 (16.50638603323821, 16.846091632373113, 16.384251303155008, 19.59728106995885, 17.953813976218747, 10.0, 12.667971984184621, 13.512780246913582, 19.189463209876543, 12.04794191129401, 13.271961192168598, 15.312335070873344, 16.2), # 46 (16.514802605504055, 16.79110342935528, 16.36813388203018, 19.581637448559672, 17.957989864956588, 10.0, 12.629324166868395, 13.424612345679012, 19.173535308641977, 12.008565743026978, 13.261790547449806, 15.29084517604024, 16.2), # 47 (16.522831119318074, 16.735140740740743, 16.351674074074076, 19.565588888888893, 17.961969838074097, 10.0, 12.590014814814815, 13.335733333333335, 19.15724, 11.968624197530865, 13.251315824915824, 15.268898765432098, 16.2), # 48 (16.53047030135726, 16.67830891632373, 16.334898216735255, 19.549155144032923, 17.965753601890572, 10.0, 12.550119841846204, 13.246380246913581, 19.14060098765432, 11.928203310470966, 13.240546601820677, 15.246530955647007, 16.2), # 49 (16.537718878298588, 16.620713305898494, 16.31783264746228, 19.53235596707819, 17.969340862725304, 10.0, 12.50971516178488, 13.15679012345679, 19.12364197530864, 11.887389117512575, 13.22949245541838, 15.223776863283039, 16.2), # 50 (16.544575576819057, 16.56245925925926, 16.300503703703704, 19.515211111111114, 17.9727313268976, 10.0, 12.46887668845316, 13.0672, 19.10638666666667, 11.846267654320988, 13.218162962962964, 15.200671604938274, 16.2), # 51 (16.551039123595647, 16.503652126200276, 16.282937722908095, 19.497740329218107, 17.975924700726743, 10.0, 12.427680335673365, 12.977846913580246, 19.0888587654321, 11.8049249565615, 13.206567701708444, 15.177250297210794, 16.2), # 52 (16.55710824530535, 16.444397256515778, 16.26516104252401, 19.479963374485596, 17.978920690532046, 10.0, 12.386202017267813, 12.888967901234569, 19.071081975308644, 11.763447059899406, 13.194716248908842, 15.153548056698675, 16.2), # 53 (16.562781668625146, 16.384800000000002, 16.2472, 19.4619, 17.981719002632804, 10.0, 12.344517647058824, 12.800799999999999, 19.05308, 11.72192, 13.18261818181818, 15.1296, 16.2), # 54 (16.568058120232035, 16.324965706447188, 16.229080932784637, 19.443569958847736, 17.984319343348304, 10.0, 12.302703138868717, 12.71358024691358, 19.034876543209876, 11.68042981252858, 13.170283077690485, 15.10544124371285, 16.2), # 55 (16.572936326802996, 16.264999725651577, 16.210830178326475, 19.424993004115226, 17.986721418997856, 10.0, 12.26083440651981, 12.627545679012346, 19.016495308641975, 11.639062533150437, 13.157720513779774, 15.0811069044353, 16.2), # 56 (16.577415015015013, 16.205007407407408, 16.192474074074077, 19.40618888888889, 17.988924935900748, 10.0, 12.218987363834422, 12.542933333333336, 18.997960000000003, 11.597904197530866, 13.144940067340068, 15.056632098765432, 16.2), # 57 (16.581492911545087, 16.145094101508917, 16.174038957475997, 19.387177366255145, 17.99092960037628, 10.0, 12.177237924634875, 12.459980246913581, 18.979294320987655, 11.557040841335164, 13.131951315625393, 15.032051943301326, 16.2), # 58 (16.585168743070195, 16.085365157750342, 16.155551165980796, 19.367978189300413, 17.992735118743752, 10.0, 12.135662002743485, 12.378923456790124, 18.960521975308644, 11.516558500228626, 13.11876383588976, 15.007401554641062, 16.2), # 59 (16.588441236267325, 16.02592592592593, 16.137037037037036, 19.34861111111111, 17.99434119732246, 10.0, 12.094335511982571, 12.3, 18.94166666666667, 11.476543209876544, 13.105387205387206, 14.982716049382717, 16.2), # 60 (16.591309117813463, 15.966881755829906, 16.11852290809328, 19.329095884773665, 17.995747542431697, 10.0, 12.053334366174454, 12.223446913580247, 18.922752098765432, 11.437081005944217, 13.091831001371743, 14.958030544124373, 16.2), # 61 (16.593771114385607, 15.908337997256517, 16.100035116598082, 19.30945226337449, 17.996953860390775, 10.0, 12.01273447914145, 12.149501234567902, 18.903801975308642, 11.398257924096939, 13.078104801097394, 14.933380155464107, 16.2), # 62 (16.595825952660736, 15.8504, 16.0816, 19.289700000000003, 17.99795985751897, 10.0, 11.972611764705881, 12.078400000000002, 18.88484, 11.36016, 13.064218181818184, 14.9088, 16.2), # 63 (16.597472359315837, 15.793173113854596, 16.0632438957476, 19.26985884773663, 17.998765240135597, 10.0, 11.933042136690068, 12.010380246913583, 18.86588987654321, 11.322873269318702, 13.050180720788127, 14.884325194330135, 16.2), # 64 (16.5987090610279, 15.73676268861454, 16.04499314128944, 19.249948559670784, 17.999369714559947, 10.0, 11.894101508916325, 11.945679012345678, 18.846975308641976, 11.286483767718336, 13.036001995261257, 14.859990855052581, 16.2), # 65 (16.599534784473914, 15.681274074074077, 16.026874074074076, 19.22998888888889, 17.999772987111317, 10.0, 11.855865795206972, 11.884533333333335, 18.828120000000002, 11.251077530864197, 13.021691582491583, 14.835832098765435, 16.2), # 66 (16.59994825633087, 15.626812620027435, 16.00891303155007, 19.209999588477366, 17.99997476410901, 10.0, 11.81841090938433, 11.827180246913583, 18.809347654320987, 11.216740594421584, 13.007259059733137, 14.811884042066758, 16.2), # 67 (16.59966658316932, 15.573197822912517, 15.991049519890261, 19.189826784755773, 17.999804728475752, 9.99981441853376, 11.781624311727434, 11.77335016003658, 18.790540557841794, 11.183392706635466, 12.992457581664603, 14.788048035039589, 16.19980024005487), # 68 (16.597026731078905, 15.51879283154122, 15.97278148148148, 19.168453623188405, 17.99825708061002, 9.998347325102882, 11.744429090154583, 11.720158024691358, 18.770876543209877, 11.150090225127087, 12.975780542264753, 14.76355035737492, 16.198217592592595), # 69 (16.59181726009423, 15.463347935749368, 15.954029492455417, 19.14573939881911, 17.995198902606308, 9.995458009449779, 11.706656215298192, 11.667123914037496, 18.750244627343395, 11.116671239140375, 12.957038218441728, 14.738276418068494, 16.195091735253776), # 70 (16.584111457028687, 15.406896269746449, 15.93480013717421, 19.12171760601181, 17.990668926006617, 9.991193293705228, 11.668322655262381, 11.61426538637403, 18.728675537265662, 11.083136574948224, 12.936299793254179, 14.712244699540344, 16.190463820301783), # 71 (16.573982608695655, 15.349470967741935, 15.915099999999999, 19.096421739130435, 17.98470588235294, 9.985600000000002, 11.62944537815126, 11.5616, 18.706200000000003, 11.04948705882353, 12.913634449760767, 14.685473684210528, 16.184375), # 72 (16.561504001908514, 15.291105163945307, 15.894935665294923, 19.069885292538917, 17.977348503187283, 9.978724950464867, 11.590041352068948, 11.50914531321445, 18.682848742569732, 11.01572351703919, 12.889111371020142, 14.65798185449907, 16.1768664266118), # 73 (16.546748923480646, 15.231831992566043, 15.874313717421124, 19.04214176060118, 17.96863552005164, 9.970614967230606, 11.550127545119556, 11.456918884316416, 18.658652491998172, 10.9818467758681, 12.86279974009097, 14.629787692826028, 16.167979252400553), # 74 (16.52979066022544, 15.171684587813619, 15.85324074074074, 19.01322463768116, 17.95860566448802, 9.961316872427986, 11.509720925407201, 11.404938271604939, 18.63364197530864, 10.947857661583152, 12.834768740031897, 14.600909681611435, 16.157754629629633), # 75 (16.510702498956285, 15.11069608389752, 15.831723319615913, 18.98316741814278, 17.94729766803841, 9.950877488187778, 11.468838461035993, 11.353221033379059, 18.607847919524463, 10.913757000457247, 12.805087553901586, 14.571366303275333, 16.146233710562413), # 76 (16.48955772648655, 15.048899615027217, 15.809768038408777, 18.95200359634997, 17.934750262244815, 9.939343636640757, 11.427497120110047, 11.301784727937816, 18.581301051668955, 10.87954561876328, 12.7738253647587, 14.54117604023777, 16.13345764746228), # 77 (16.46642962962963, 14.98632831541219, 15.787381481481482, 18.919766666666668, 17.92100217864924, 9.926762139917695, 11.38571387073348, 11.250646913580248, 18.55403209876543, 10.845224342774147, 12.741051355661883, 14.510357374918781, 16.119467592592596), # 78 (16.441391495198904, 14.923015319261916, 15.76457023319616, 18.88649012345679, 17.906092148793675, 9.913179820149367, 11.343505681010402, 11.199825148605397, 18.52607178783722, 10.810793998762742, 12.706834709669796, 14.478928789738408, 16.104304698216733), # 79 (16.414516610007755, 14.858993760785877, 15.74134087791495, 18.852207461084273, 17.890058904220126, 9.898643499466544, 11.30088951904493, 11.149336991312301, 18.497450845907636, 10.776255413001962, 12.671244609841102, 14.446908767116696, 16.08801011659808), # 80 (16.385878260869568, 14.79429677419355, 15.7177, 18.816952173913048, 17.872941176470587, 9.8832, 11.257882352941177, 11.099200000000002, 18.4682, 10.741609411764706, 12.63435023923445, 14.414315789473685, 16.070625), # 81 (16.355549734597723, 14.728957493694413, 15.693654183813445, 18.780757756307032, 17.854777697087066, 9.866896143880508, 11.214501150803258, 11.049431732967536, 18.43834997713763, 10.706856821323866, 12.596220780908501, 14.381168339229419, 16.052190500685874), # 82 (16.323604318005607, 14.663009053497943, 15.669210013717422, 18.743657702630166, 17.835607197611555, 9.849778753238837, 11.170762880735285, 11.000049748513947, 18.40793150434385, 10.671998467952339, 12.55692541792191, 14.34748489880394, 16.03274777091907), # 83 (16.290115297906603, 14.59648458781362, 15.644374074074074, 18.70568550724638, 17.815468409586057, 9.831894650205761, 11.126684510841374, 10.95107160493827, 18.376975308641974, 10.637035177923023, 12.516533333333333, 14.313283950617285, 16.012337962962963), # 84 (16.255155961114095, 14.529417230850923, 15.61915294924554, 18.666874664519593, 17.794400064552573, 9.813290656912057, 11.08228300922564, 10.902514860539554, 18.345512117055325, 10.60196777750881, 12.47511371020143, 14.2785839770895, 15.991002229080934), # 85 (16.21879959444146, 14.46184011681933, 15.593553223593966, 18.627258668813745, 17.772440894053094, 9.794013595488494, 11.037575343992193, 10.854397073616827, 18.313572656607228, 10.566797092982599, 12.432735731584856, 14.24340346064063, 15.968781721536352), # 86 (16.18111948470209, 14.393786379928315, 15.567581481481481, 18.586871014492754, 17.749629629629634, 9.774110288065843, 10.99257848324515, 10.806735802469136, 18.28118765432099, 10.531523950617284, 12.389468580542264, 14.207760883690709, 15.945717592592594), # 87 (16.142188918709373, 14.325289154387361, 15.541244307270233, 18.54574519592056, 17.726005002824177, 9.753627556774882, 10.947309395088626, 10.75954860539552, 18.248387837219937, 10.496149176685762, 12.345381440132318, 14.171674728659784, 15.921850994513035), # 88 (16.102081183276677, 14.256381574405948, 15.51454828532236, 18.503914707461085, 17.701605745178732, 9.732612223746381, 10.901785047626733, 10.712853040695016, 18.21520393232739, 10.460673597460932, 12.30054349341367, 14.135163477967897, 15.897223079561043), # 89 (16.06086956521739, 14.187096774193549, 15.4875, 18.461413043478263, 17.676470588235297, 9.711111111111112, 10.856022408963586, 10.666666666666666, 18.18166666666667, 10.425098039215687, 12.255023923444977, 14.098245614035088, 15.871875000000001), # 90 (16.0186273513449, 14.117467887959643, 15.460106035665294, 18.41827369833602, 17.650638263535864, 9.689171040999847, 10.810038447203299, 10.621007041609511, 18.14780676726109, 10.389423328222922, 12.208891913284896, 14.060939619281399, 15.845847908093276), # 91 (15.975427828472597, 14.047528049913716, 15.432372976680384, 18.374530166398284, 17.624147502622446, 9.666838835543363, 10.763850130449988, 10.57589172382259, 18.113654961133975, 10.353650290755535, 12.162216645992086, 14.023263976126877, 15.819182956104251), # 92 (15.931344283413848, 13.977310394265235, 15.404307407407408, 18.33021594202899, 17.597037037037037, 9.644161316872427, 10.717474426807762, 10.53133827160494, 18.079241975308644, 10.31777975308642, 12.1150673046252, 13.985237166991553, 15.791921296296294), # 93 (15.886450002982048, 13.906848055223684, 15.375915912208507, 18.285364519592058, 17.569345598321632, 9.621185307117818, 10.670928304380737, 10.487364243255604, 18.044598536808415, 10.281812541488476, 12.067513072242896, 13.946877674295479, 15.764104080932785), # 94 (15.840818273990577, 13.836174166998541, 15.347205075445817, 18.240009393451423, 17.541111918018238, 9.597957628410304, 10.62422873127303, 10.443987197073618, 18.00975537265661, 10.245749482234594, 12.019623131903835, 13.908203980458689, 15.735772462277092), # 95 (15.79452238325282, 13.765321863799286, 15.318181481481483, 18.194184057971015, 17.512374727668846, 9.574525102880658, 10.577392675588754, 10.401224691358026, 17.974743209876543, 10.209591401597677, 11.971466666666668, 13.869234567901238, 15.706967592592594), # 96 (15.747635617582157, 13.694324279835394, 15.28885171467764, 18.14792200751476, 17.483172758815464, 9.550934552659655, 10.530437105432021, 10.359094284407867, 17.939592775491544, 10.173339125850616, 11.923112859590052, 13.829987919043152, 15.677730624142663), # 97 (15.700231263791975, 13.623214549316343, 15.259222359396432, 18.101256736446594, 17.453544743000084, 9.52723279987807, 10.48337898890695, 10.317613534522177, 17.904334796524918, 10.136993481266307, 11.87463089373265, 13.790482516304477, 15.648102709190674), # 98 (15.652382608695653, 13.552025806451613, 15.229300000000002, 18.054221739130437, 17.423529411764708, 9.503466666666666, 10.43623529411765, 10.276800000000001, 17.869, 10.100555294117648, 11.826089952153112, 13.750736842105264, 15.618125000000001), # 99 (15.60416293910658, 13.480791185450682, 15.19909122085048, 18.00685050993022, 17.393165496651335, 9.479682975156226, 10.389022989168232, 10.236671239140376, 17.833619112940102, 10.064025390677534, 11.777559217910095, 13.710769378865548, 15.58783864883402), # 100 (15.555645541838135, 13.409543820523034, 15.168602606310015, 17.959176543209878, 17.36249172920197, 9.455928547477518, 10.34175904216282, 10.19724481024234, 17.798222862368544, 10.027404597218862, 11.72910787406226, 13.670598609005365, 15.557284807956103), # 101 (15.506903703703706, 13.338316845878138, 15.13784074074074, 17.911233333333335, 17.331546840958605, 9.432250205761319, 10.294460421205521, 10.15853827160494, 17.762841975308643, 9.990693740014526, 11.680805103668263, 13.63024301494477, 15.526504629629631), # 102 (15.458010711516671, 13.267143395725476, 15.1068122085048, 17.86305437466452, 17.300369563463246, 9.408694772138395, 10.247144094400449, 10.120569181527207, 17.72750717878372, 9.953893645337423, 11.632720089786758, 13.589721079103796, 15.495539266117968), # 103 (15.409039852090416, 13.196056604274526, 15.075523593964334, 17.814673161567367, 17.268998628257886, 9.385309068739522, 10.199827029851722, 10.083355098308186, 17.692249199817102, 9.91700513946045, 11.584922015476401, 13.549051283902486, 15.464429869684501), # 104 (15.360064412238325, 13.125089605734766, 15.043981481481481, 17.766123188405796, 17.237472766884533, 9.362139917695474, 10.152526195663453, 10.046913580246915, 17.6570987654321, 9.880029048656501, 11.537480063795854, 13.508252111760886, 15.433217592592593), # 105 (15.311157678773782, 13.054275534315678, 15.012192455418381, 17.717437949543747, 17.205830710885177, 9.339234141137021, 10.105258559939752, 10.011262185642433, 17.622086602652033, 9.842966199198472, 11.490463417803769, 13.46734204509903, 15.401943587105624), # 106 (15.26239293851017, 12.983647524226738, 14.980163100137176, 17.66865093934514, 17.174111191801824, 9.31663856119494, 10.058041090784739, 9.976418472793783, 17.58724343850023, 9.805817417359263, 11.443941260558804, 13.426339566336967, 15.370649005486968), # 107 (15.21384347826087, 12.913238709677422, 14.947900000000002, 17.619795652173917, 17.14235294117647, 9.294400000000001, 10.010890756302521, 9.942400000000001, 17.5526, 9.768583529411766, 11.397982775119617, 13.38526315789474, 15.339375000000002), # 108 (15.16558258483927, 12.843082224877207, 14.915409739369, 17.570905582393987, 17.11059469055112, 9.272565279682976, 9.96382452459722, 9.90922432556013, 17.518187014174668, 9.731265361628877, 11.352657144544864, 13.34413130219238, 15.308162722908094), # 109 (15.117683545058746, 12.77321120403558, 14.882698902606315, 17.522014224369297, 17.078875171467768, 9.251181222374639, 9.916859363772943, 9.876909007773206, 17.484035208047555, 9.693863740283494, 11.308033551893201, 13.302962481649942, 15.277053326474624), # 110 (15.07021964573269, 12.703658781362009, 14.849774074074077, 17.47315507246377, 17.047233115468412, 9.230294650205762, 9.87001224193381, 9.845471604938272, 17.450175308641978, 9.656379491648512, 11.264181180223286, 13.261775178687461, 15.246087962962964), # 111 (15.02326417367448, 12.634458091065975, 14.816641838134434, 17.42436162104133, 17.015707254095055, 9.209952385307119, 9.823300127183934, 9.814929675354367, 17.41663804298125, 9.618813441996826, 11.221169212593775, 13.220587875724977, 15.215307784636488), # 112 (14.976806757924871, 12.565757790057525, 14.78338852520331, 17.375734211987265, 16.98428108827793, 9.190191630743222, 9.776841541850832, 9.78536411004897, 17.383540498013794, 9.581287578580367, 11.179078249844586, 13.179508698407085, 15.184710241349155), # 113 (14.930369436640104, 12.498235493640857, 14.75047308003459, 17.327663074043738, 16.952629367306123, 9.170967373647843, 9.731229133456928, 9.757138015208191, 17.351390457140898, 9.544504268660452, 11.137990939381115, 13.13905947538076, 15.154040662656056), # 114 (14.883815844806392, 12.431915517892875, 14.717915092331708, 17.280135208290847, 16.920652284621763, 9.152229619998023, 9.6864954403065, 9.730244246845935, 17.320199965870064, 9.508520524780923, 11.09784721828335, 13.099260132094162, 15.123210610656603), # 115 (14.837087797180216, 12.366701250066724, 14.685651503974197, 17.233065840426246, 16.888301642214046, 9.133934203659356, 9.64256770804463, 9.70460850063839, 17.28989014276453, 9.473269373519276, 11.05856949003437, 13.060037115979753, 15.092171615609425), # 116 (14.790127108518035, 12.302496077415555, 14.653619256841578, 17.18637019614759, 16.855529242072176, 9.116036958497425, 9.599373182316404, 9.680156472261736, 17.260382106387524, 9.438683841453006, 11.020080158117253, 13.021316874470001, 15.06087520777316), # 117 (14.742875593576338, 12.239203387192518, 14.621755292813388, 17.139963501152533, 16.82228688618535, 9.098493718377823, 9.556839108766905, 9.656813857392155, 17.231596975302296, 9.404696955159615, 10.98230162601508, 12.98302585499736, 15.02927291740644), # 118 (14.695275067111588, 12.176726566650768, 14.589996553769158, 17.09376098113873, 16.788526376542755, 9.081260317166132, 9.51489273304121, 9.634506351705832, 17.20345586807207, 9.371241741216595, 10.945156297210925, 12.945090504994296, 14.997316274767892), # 119 (14.647267343880259, 12.114969003043454, 14.55827998158842, 17.04767786180383, 16.754199515133596, 9.064292588727945, 9.473461300784406, 9.613159650878949, 17.175879903260093, 9.338251226201448, 10.908566575187866, 12.907437271893276, 14.964956810116156), # 120 (14.59879423863883, 12.053834083623727, 14.5265425181507, 17.001629368845496, 16.71925810394707, 9.047546366928849, 9.432472057641569, 9.592699450587691, 17.148790199429598, 9.305658436691674, 10.872454863428986, 12.869992603126756, 14.932146053709857), # 121 (14.549797566143766, 11.993225195644738, 14.494721105335538, 16.95553072796137, 16.683653944972374, 9.03097748563443, 9.391852249257788, 9.573051446508238, 17.122107875143822, 9.273396399264763, 10.836743565417363, 12.832682946127202, 14.898835535807633), # 122 (14.50021914115155, 11.933045726359639, 14.462752685022458, 16.90929716484911, 16.647338840198707, 9.01454177871028, 9.351529121278142, 9.554141334316773, 17.095754048966008, 9.24139814049822, 10.801355084636072, 12.795434748327075, 14.864976786668116), # 123 (14.450000778418648, 11.87319906302158, 14.430574199090993, 16.86284390520638, 16.61026459161526, 8.998195080021983, 9.311429919347711, 9.535894809689482, 17.069649839459384, 9.209596686969538, 10.766211824568192, 12.758174457158841, 14.830521336549939), # 124 (14.399084292701534, 11.813588592883713, 14.398122589420678, 16.816086174730817, 16.572383001211236, 8.98189322343513, 9.271481889111582, 9.518237568302546, 17.04371636518719, 9.177925065256215, 10.731236188696803, 12.720828520054958, 14.795420715711726), # 125 (14.347411498756685, 11.754117703199192, 14.365334797891038, 16.768939199120087, 16.53364587097583, 8.965592042815308, 9.231612276214832, 9.501095305832148, 17.017874744712667, 9.146316301935748, 10.696350580504982, 12.683323384447895, 14.759626454412127), # 126 (14.294924211340579, 11.69468978122116, 14.332147766381608, 16.72131820407184, 16.494005002898238, 8.949247372028104, 9.19174832630255, 9.484393717954474, 16.99204609659905, 9.114703423585638, 10.661477403475807, 12.645585497770107, 14.723090082909758), # 127 (14.241564245209673, 11.635208214202777, 14.29849843677192, 16.67313841528373, 16.453412198967666, 8.93281504493911, 9.151817285019812, 9.4680585003457, 16.966151539409577, 9.083019456783381, 10.626539061092359, 12.607541307454062, 14.68576313146326), # 128 (14.187273415120451, 11.575576389397186, 14.264323750941504, 16.624315058453412, 16.4118192611733, 8.916250895413912, 9.111746398011702, 9.452015348682016, 16.94011219170748, 9.051197428106473, 10.591457956837715, 12.569117260932218, 14.647597130331262), # 129 (14.131993535829388, 11.515697694057547, 14.229560650769887, 16.57476335927854, 16.36917799150434, 8.899510757318094, 9.0714629109233, 9.4361899586396, 16.913849172056, 9.019170364132412, 10.556156494194951, 12.530239805637045, 14.608543609772397), # 130 (14.07566642209295, 11.455475515437003, 14.19414607813661, 16.524398543456762, 16.32544019194999, 8.88255046451725, 9.030894069399695, 9.42050802589464, 16.887283599018378, 8.986871291438696, 10.52055707664715, 12.490835389000999, 14.568554100045299), # 131 (14.018233888667616, 11.39481324078871, 14.158016974921194, 16.47313583668574, 16.280557664499447, 8.865325850876964, 8.98996711908596, 9.404895246123317, 16.860336591157846, 8.954233236602823, 10.484582107677383, 12.450830458456547, 14.527580131408602), # 132 (13.959637750309861, 11.333614257365817, 14.121110283003175, 16.420890464663124, 16.2344822111419, 8.847792750262826, 8.948609305627183, 9.389277315001811, 16.832929267037642, 8.921189226202292, 10.448153990768738, 12.410151461436149, 14.485573234120938), # 133 (13.899819821776152, 11.271781952421478, 14.083362944262086, 16.367577653086567, 16.18716563386655, 8.829906996540425, 8.906747874668445, 9.37357992820631, 16.804982745221007, 8.887672286814597, 10.411195129404286, 12.368724845372267, 14.442484938440934), # 134 (13.838721917822966, 11.209219713208839, 14.044711900577454, 16.313112627653727, 16.138559734662593, 8.811624423575347, 8.86431007185483, 9.357728781412993, 16.77641814427117, 8.853615445017242, 10.373627927067108, 12.326477057697364, 14.398266774627231), # 135 (13.776285853206776, 11.145830926981056, 14.005094093828815, 16.25741061406225, 16.08861631551923, 8.792900865233184, 8.821223142831416, 9.341649570298044, 16.74715658275137, 8.818951727387716, 10.335374787240283, 12.283334545843907, 14.352870272938459), # 136 (13.712453442684055, 11.081518980991277, 13.964446465895698, 16.200386838009802, 16.037287178425654, 8.773692155379518, 8.77741433324329, 9.325267990537647, 16.717119179224852, 8.783614160503523, 10.296358113406889, 12.239223757244352, 14.306246963633242), # 137 (13.647166501011277, 11.016187262492654, 13.922705958657628, 16.141956525194022, 15.98452412537107, 8.753954127879942, 8.732810888735527, 9.308509737807984, 16.68622705225485, 8.747535770942156, 10.256500309050004, 12.194071139331164, 14.258348376970226), # 138 (13.58036684294491, 10.949739158738339, 13.879809513994145, 16.082034901312575, 15.930278958344665, 8.733642616600042, 8.687340054953216, 9.29130050778524, 16.654401320404595, 8.710649585281116, 10.215723777652705, 12.14780313953681, 14.20912604320803), # 139 (13.511996283241437, 10.88207805698148, 13.83569407378478, 16.020537192063113, 15.874503479335647, 8.712713455405407, 8.640929077541434, 9.273565996145594, 16.62156310223733, 8.672888630097898, 10.17395092269807, 12.100346205293746, 14.158531492605304), # 140 (13.44199663665733, 10.813107344475235, 13.790296579909057, 15.957378623143285, 15.817149490333206, 8.691122478161624, 8.593505202145272, 9.255231898565233, 16.587633516316288, 8.634185931970002, 10.131104147669182, 12.05162678403444, 14.106516255420662), # 141 (13.37030971794905, 10.742730408472745, 13.743553974246513, 15.892474420250753, 15.75816879332654, 8.668825518734284, 8.544995674409803, 9.236223910720339, 16.552533681204707, 8.594474517474925, 10.087105856049115, 12.001571323191351, 14.053031861912746), # 142 (13.29687734187308, 10.67085063622717, 13.695403198676681, 15.82573980908316, 15.697513190304846, 8.64577841098897, 8.49532773998011, 9.21646772828709, 16.516184715465837, 8.553687413190165, 10.04187845132095, 11.950106270196944, 13.998029842340188), # 143 (13.221641323185896, 10.597371414991658, 13.645781195079085, 15.757090015338171, 15.635134483257326, 8.621936988791274, 8.444428644501278, 9.195889046941678, 16.478507737662895, 8.511757645693216, 9.995344336967761, 11.897158072483679, 13.941461726961624), # 144 (13.144543476643964, 10.52219613201936, 13.594624905333262, 15.686440264713433, 15.570984474173173, 8.597257086006785, 8.39222563361839, 9.174413562360282, 16.439423866359128, 8.46861824156158, 9.947425916472632, 11.842653177484022, 13.88327904603568), # 145 (13.065525617003761, 10.445228174563427, 13.541871271318747, 15.613705782906601, 15.505014965041589, 8.57169453650109, 8.338645952976528, 9.151966970219084, 16.39885422011777, 8.424202227372753, 9.898045593318638, 11.786518032630433, 13.82343332982099), # 146 (12.98452955902176, 10.366370929877009, 13.487457234915055, 15.538801795615328, 15.437177757851764, 8.545205174139772, 8.28361684822077, 9.128474966194265, 16.356719917502065, 8.378442629704233, 9.847125770988859, 11.728679085355378, 13.761876108576189), # 147 (12.901497117454435, 10.285527785213262, 13.431319738001733, 15.461643528537275, 15.367424654592899, 8.517744832788429, 8.227065564996202, 9.103863245962012, 16.312942077075245, 8.331272475133515, 9.794588852966372, 11.669062783091313, 13.698558912559907), # 148 (12.81637010705826, 10.20260212782533, 13.37339572245831, 15.382146207370084, 15.295707457254194, 8.48926934631264, 8.168919348947906, 9.078057505198506, 16.26744181740054, 8.282624790238101, 9.740357242734255, 11.607595573270707, 13.63343327203078), # 149 (12.729090342589704, 10.117497344966367, 13.313622130164312, 15.30022505781142, 15.221977967824841, 8.459734548577998, 8.109105445720962, 9.05098343957993, 16.220140257041205, 8.232432601595482, 9.684353343775589, 11.544203903326022, 13.566450717247434), # 150 (12.63959963880524, 10.030116823889527, 13.251935902999268, 15.215795305558927, 15.146187988294043, 8.429096273450089, 8.047551100960453, 9.02256674478247, 16.170958514560464, 8.180628935783165, 9.626499559573448, 11.478814220689715, 13.49756277846851), # 151 (12.54783981046135, 9.940363951847957, 13.188273982842723, 15.128772176310271, 15.06828932065099, 8.397310354794502, 7.984183560311464, 8.992733116482306, 16.119817708521552, 8.12714681937864, 9.566718293610915, 11.411352972794255, 13.426720985952636), # 152 (12.453752672314497, 9.848142116094811, 13.12257331157419, 15.039070895763093, 14.988233766884889, 8.364332626476825, 7.918930069419071, 8.96140825035562, 16.06663895748772, 8.071919278959406, 9.504931949371066, 11.341746607072103, 13.353876869958444), # 153 (12.357280039121166, 9.75335470388324, 13.054770831073213, 14.946606689615056, 14.905973128984929, 8.330118922362647, 7.851717873928365, 8.928517842078596, 16.011343380022186, 8.014879341102965, 9.44106293033698, 11.26992157095572, 13.278981960744572), # 154 (12.258363725637818, 9.655905102466392, 12.984803483219322, 14.851294783563805, 14.821459208940315, 8.294625076317555, 7.782474219484418, 8.893987587327418, 15.953852094688205, 7.955960032386807, 9.375033639991733, 11.195804311877572, 13.201987788569642), # 155 (12.15694554662093, 9.555696699097421, 12.912608209892042, 14.753050403307, 14.734643808740238, 8.257806922207138, 7.71112635173232, 8.85774318177827, 15.894086220049003, 7.8950943793884365, 9.306766481818407, 11.119321277270117, 13.122845883692296), # 156 (12.05296731682698, 9.452632881029478, 12.838121952970909, 14.6517887745423, 14.645478730373895, 8.219620293896982, 7.637601516317151, 8.819710321107332, 15.831966874667822, 7.832215408685347, 9.236183859300079, 11.04039891456582, 13.041507776371162), # 157 (11.943489514248384, 9.344724993235614, 12.75774712624377, 14.54363133064199, 14.549889769393596, 8.177639162107376, 7.560170753484572, 8.777275123758995, 15.762659346558557, 7.76538546606583, 9.160953204062308, 10.956159302710944, 12.954377375064553), # 158 (11.811658827165445, 9.220904511359164, 12.65078050944478, 14.406363454061527, 14.424306095650605, 8.117903436811366, 7.469140421417146, 8.715541652423012, 15.658283617955432, 7.683649590557993, 9.06786709699039, 10.850180037892974, 12.840684235072311), # 159 (11.655795351846896, 9.080154765665142, 12.515073532729422, 14.237724016654177, 14.266272210154874, 8.038946073676295, 7.363589997414055, 8.632958703243755, 15.515880363565842, 7.58592904298063, 8.955615213775264, 10.720803118220555, 12.69827297422973), # 160 (11.477155287337537, 8.92339338892875, 12.352075155056495, 14.039316006010765, 14.077428998851381, 7.941723586512502, 7.244290313611002, 8.530560852975649, 15.337327627198428, 7.473053109073501, 8.825186647359532, 10.569227950252113, 12.528598471710556), # 161 (11.27699483268217, 8.751538013925183, 12.163234335384793, 13.812742409722123, 13.859417347685127, 7.827192489130329, 7.112012202143695, 8.409382678373124, 15.12450345266182, 7.3458510745763705, 8.677570490685794, 10.39665394054607, 12.333115606688533), # 162 (11.056570186925597, 8.565506273429639, 11.950000032673124, 13.559606215379095, 13.613878142601102, 7.696309295340116, 6.967526495147841, 8.2704587561906, 14.87928588376465, 7.205152225229, 8.513755836696653, 10.204280495660853, 12.113279258337407), # 163 (10.817137549112616, 8.366215800217313, 11.713821205880283, 13.281510410572508, 13.342452269544303, 7.550030518952207, 6.811604024759146, 8.114823663182511, 14.603552964315558, 7.05178584677115, 8.334731778334714, 9.993307022154886, 11.870544305830926), # 164 (10.559953118288028, 8.154584227063411, 11.45614681396507, 12.980057982893204, 13.046780614459719, 7.389312673776939, 6.6450156231133155, 7.943511976103274, 14.299182738123168, 6.8865812249425815, 8.141487408542579, 9.764932926586592, 11.606365628342832), # 165 (10.286273093496636, 7.931529186743127, 11.178425815886285, 12.656851919932002, 12.728504063292343, 7.215112273624654, 6.468532122346058, 7.757558271707324, 13.968053248996117, 6.71036764548306, 7.935011820262847, 9.520357615514403, 11.322198105046873), # 166 (9.997353673783238, 7.6979683120316595, 10.882107170602728, 12.31349520927975, 12.389263501987168, 7.028385832305694, 6.28292435459308, 7.557997126749083, 13.61204254074304, 6.523974394132343, 7.716294106438124, 9.260780495496734, 11.019496615116793), # 167 (9.694451058192634, 7.454819235704206, 10.568639837073198, 11.951590838527274, 12.030699816489188, 6.830089863630398, 6.088963151990087, 7.345863117982976, 13.233028657172568, 6.328230756630195, 7.48632336001101, 8.987400973092019, 10.69971603772634), # 168 (9.378821445769624, 7.202999590535967, 10.239472774256495, 11.572741795265413, 11.654453892743392, 6.621180881409112, 5.887419346672787, 7.122190822163432, 12.832889642093342, 6.123966018716379, 7.24608867392411, 8.701418454858675, 10.364311252049257), # 169 (9.051721035559014, 6.94342700930214, 9.896054941111416, 11.178551067084992, 11.262166616694774, 6.402615399452171, 5.679063770776885, 6.888014816044876, 12.413503539313982, 5.912009466130653, 6.996579141120026, 8.404032347355134, 10.014737137259289), # 170 (8.7144060266056, 6.677019124777921, 9.539835296596765, 10.770621641576858, 10.85547887428833, 6.175349931569918, 5.464667256438089, 6.644369676381733, 11.976748392643131, 5.693190384612782, 6.738783854541357, 8.096442057139818, 9.652448572530185), # 171 (8.368132617954185, 6.4046935697385114, 9.172262799671339, 10.350556506331834, 10.436031551469046, 5.940340991572694, 5.245000635792105, 6.392289979928433, 11.524502245889417, 5.468338059902528, 6.473691907130711, 7.779846990771154, 9.278900437035686), # 172 (8.014157008649567, 6.127367976959108, 8.79478640929394, 9.919958648940762, 10.005465534181923, 5.69854509327084, 5.02083474097464, 6.132810303439398, 11.058643142861477, 5.238281777739651, 6.202292391830685, 7.45544655480756, 8.89554760994954), # 173 (7.6537353977365505, 5.845959979214909, 8.408855084423363, 9.480431056994465, 9.565421708371947, 5.450918750474696, 4.792940404121401, 5.866965223669057, 10.581049127367942, 5.003850823863915, 5.9255744015838845, 7.124440155807469, 8.503844970445494), # 174 (7.288123984259929, 5.561387209281111, 8.015917784018413, 9.033576718083788, 9.11754095998411, 5.198418476994606, 4.562088457368093, 5.595789317371834, 10.09359824321745, 4.765874484015079, 5.644527029332911, 6.788027200329303, 8.105247397697292), # 175 (6.91857896726451, 5.274567299932917, 7.617423467037885, 8.58099861979956, 8.663464174963408, 4.942000786640907, 4.329049732850424, 5.3203171613021585, 9.598168534218628, 4.525182043932907, 5.360139368020368, 6.447407094931487, 7.701209770878679), # 176 (6.546356545795092, 4.986417883945522, 7.214821092440582, 8.124299749732613, 8.204832239254838, 4.682622193223941, 4.094595062704101, 5.0415833322144525, 9.096638044180112, 4.282602789357159, 5.073400510588858, 6.103779246172446, 7.2931869691634), # 177 (6.172712918896475, 4.697856594094126, 6.809559619185302, 7.665083095473786, 7.743286038803382, 4.421239210554052, 3.859495279064828, 4.760622406863145, 8.590884816910537, 4.0389660060276, 4.78529954998098, 5.758343060610604, 6.882633871725203), # 178 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179 ) passenger_arriving_acc = ( (10, 4, 10, 7, 4, 5, 6, 5, 3, 4, 0, 0, 0, 5, 15, 5, 4, 4, 3, 0, 2, 3, 4, 1, 0, 0), # 0 (12, 14, 21, 15, 9, 8, 9, 7, 8, 6, 0, 0, 0, 14, 25, 7, 9, 10, 7, 3, 7, 5, 12, 2, 0, 0), # 1 (13, 23, 27, 24, 17, 13, 14, 11, 9, 7, 2, 2, 0, 24, 29, 15, 20, 22, 12, 7, 9, 9, 16, 4, 4, 0), # 2 (20, 37, 32, 31, 23, 17, 14, 15, 12, 8, 5, 3, 0, 30, 37, 25, 25, 31, 19, 11, 12, 10, 16, 4, 6, 0), # 3 (31, 48, 45, 39, 30, 19, 19, 18, 15, 10, 9, 3, 0, 39, 40, 27, 34, 36, 24, 15, 15, 14, 18, 9, 6, 0), # 4 (41, 58, 50, 47, 39, 27, 22, 25, 21, 10, 14, 4, 0, 47, 56, 34, 37, 44, 29, 20, 16, 17, 23, 10, 6, 0), # 5 (54, 69, 58, 54, 47, 32, 30, 30, 28, 13, 15, 6, 0, 54, 65, 44, 46, 49, 37, 21, 17, 20, 24, 12, 7, 0), # 6 (68, 78, 65, 60, 53, 33, 35, 36, 35, 16, 17, 7, 0, 66, 77, 52, 48, 60, 43, 25, 18, 24, 25, 14, 8, 0), # 7 (80, 93, 72, 73, 63, 41, 39, 38, 37, 18, 19, 10, 0, 83, 87, 63, 57, 69, 44, 33, 20, 28, 31, 14, 10, 0), # 8 (86, 111, 81, 93, 71, 43, 47, 41, 39, 19, 19, 11, 0, 94, 101, 74, 66, 81, 53, 37, 23, 36, 38, 16, 11, 0), # 9 (104, 127, 94, 106, 77, 47, 54, 45, 46, 22, 20, 11, 0, 110, 108, 87, 72, 89, 61, 41, 26, 41, 44, 22, 12, 0), # 10 (117, 139, 107, 120, 86, 52, 58, 51, 53, 26, 22, 12, 0, 123, 124, 95, 80, 99, 69, 48, 31, 46, 46, 22, 14, 0), # 11 (132, 157, 120, 133, 98, 55, 66, 58, 56, 31, 25, 12, 0, 133, 137, 102, 91, 111, 79, 53, 35, 50, 48, 23, 17, 0), # 12 (144, 168, 130, 147, 105, 66, 71, 62, 62, 40, 27, 12, 0, 145, 150, 112, 99, 124, 90, 61, 38, 56, 51, 25, 18, 0), # 13 (159, 183, 151, 160, 117, 71, 77, 70, 67, 41, 30, 13, 0, 165, 161, 121, 106, 141, 97, 67, 45, 61, 56, 27, 19, 0), # 14 (178, 197, 161, 177, 127, 76, 86, 74, 77, 44, 31, 15, 0, 183, 180, 129, 116, 156, 100, 74, 50, 65, 57, 29, 20, 0), # 15 (189, 208, 174, 188, 138, 80, 87, 82, 84, 47, 33, 16, 0, 193, 196, 137, 122, 167, 110, 76, 54, 70, 67, 32, 20, 0), # 16 (199, 219, 182, 199, 149, 84, 92, 88, 88, 51, 36, 17, 0, 222, 210, 146, 127, 178, 113, 83, 59, 74, 73, 33, 21, 0), # 17 (212, 228, 195, 214, 154, 93, 100, 93, 93, 55, 36, 18, 0, 241, 228, 155, 136, 187, 125, 91, 65, 78, 76, 38, 22, 0), # 18 (234, 250, 209, 226, 170, 99, 109, 98, 102, 60, 38, 19, 0, 255, 248, 166, 154, 205, 127, 95, 70, 85, 78, 41, 24, 0), # 19 (248, 261, 222, 238, 182, 103, 111, 102, 108, 62, 40, 22, 0, 268, 264, 180, 159, 212, 137, 100, 74, 92, 80, 46, 25, 0), # 20 (261, 287, 239, 250, 201, 108, 116, 107, 114, 70, 44, 24, 0, 284, 280, 194, 172, 224, 145, 104, 83, 96, 87, 48, 30, 0), # 21 (269, 307, 254, 254, 211, 114, 122, 111, 124, 74, 44, 24, 0, 302, 291, 206, 179, 236, 153, 113, 85, 101, 93, 51, 31, 0), # 22 (286, 328, 271, 267, 226, 119, 132, 116, 132, 77, 46, 24, 0, 319, 302, 220, 183, 250, 161, 121, 87, 108, 95, 54, 33, 0), # 23 (309, 342, 280, 281, 240, 127, 139, 123, 138, 79, 48, 25, 0, 333, 324, 229, 193, 263, 169, 125, 91, 113, 104, 55, 33, 0), # 24 (329, 354, 292, 299, 249, 132, 151, 129, 146, 80, 51, 27, 0, 351, 338, 233, 198, 273, 182, 126, 96, 120, 111, 57, 34, 0), # 25 (344, 370, 303, 314, 261, 137, 152, 134, 155, 81, 51, 27, 0, 370, 354, 240, 211, 288, 192, 133, 103, 124, 112, 58, 34, 0), # 26 (367, 386, 314, 329, 276, 141, 159, 141, 160, 85, 54, 29, 0, 383, 372, 253, 228, 299, 201, 139, 106, 129, 115, 61, 35, 0), # 27 (386, 404, 331, 347, 288, 146, 162, 146, 169, 89, 56, 29, 0, 393, 383, 266, 239, 309, 210, 149, 109, 136, 121, 64, 37, 0), # 28 (402, 415, 347, 359, 300, 154, 170, 152, 174, 93, 59, 32, 0, 402, 393, 275, 255, 321, 223, 158, 112, 143, 129, 65, 40, 0), # 29 (414, 426, 361, 376, 313, 160, 176, 158, 179, 102, 64, 34, 0, 418, 412, 287, 268, 332, 230, 160, 118, 151, 132, 67, 42, 0), # 30 (428, 449, 378, 389, 333, 166, 182, 167, 185, 105, 65, 35, 0, 437, 428, 295, 276, 342, 238, 165, 122, 160, 136, 69, 43, 0), # 31 (446, 463, 391, 403, 348, 171, 186, 173, 190, 105, 67, 38, 0, 457, 445, 302, 287, 355, 245, 170, 126, 170, 137, 75, 46, 0), # 32 (466, 485, 409, 414, 358, 172, 196, 176, 194, 113, 68, 42, 0, 482, 462, 312, 294, 365, 250, 180, 129, 179, 142, 77, 47, 0), # 33 (487, 499, 420, 433, 369, 182, 200, 186, 203, 117, 69, 43, 0, 498, 472, 332, 309, 385, 264, 189, 132, 183, 150, 80, 48, 0), # 34 (503, 521, 437, 443, 382, 185, 205, 193, 209, 121, 73, 44, 0, 516, 490, 346, 319, 399, 273, 192, 135, 193, 154, 80, 48, 0), # 35 (514, 532, 447, 460, 389, 189, 216, 198, 217, 124, 77, 45, 0, 531, 503, 364, 330, 408, 275, 200, 142, 200, 157, 84, 48, 0), # 36 (524, 556, 460, 475, 402, 193, 219, 207, 222, 129, 80, 46, 0, 544, 519, 376, 337, 420, 285, 206, 153, 212, 161, 87, 50, 0), # 37 (543, 573, 469, 486, 411, 197, 227, 211, 226, 132, 83, 47, 0, 560, 539, 392, 351, 431, 297, 209, 153, 216, 169, 90, 52, 0), # 38 (555, 591, 487, 508, 422, 200, 232, 218, 233, 136, 85, 47, 0, 573, 563, 406, 361, 444, 309, 214, 158, 222, 173, 95, 54, 0), # 39 (570, 609, 500, 524, 435, 205, 238, 225, 237, 137, 88, 49, 0, 591, 581, 416, 372, 453, 315, 226, 159, 231, 179, 99, 56, 0), # 40 (588, 625, 509, 532, 446, 210, 247, 232, 243, 140, 91, 50, 0, 608, 595, 430, 381, 466, 321, 234, 163, 239, 185, 102, 58, 0), # 41 (602, 637, 519, 546, 455, 214, 255, 239, 247, 143, 93, 50, 0, 621, 608, 439, 394, 474, 337, 238, 166, 243, 187, 104, 59, 0), # 42 (626, 653, 532, 558, 475, 222, 262, 244, 252, 146, 94, 52, 0, 639, 620, 447, 402, 487, 345, 243, 172, 252, 192, 107, 61, 0), # 43 (642, 665, 544, 572, 493, 227, 271, 252, 255, 149, 95, 54, 0, 651, 637, 457, 410, 506, 356, 251, 178, 259, 195, 111, 63, 0), # 44 (653, 683, 558, 594, 506, 231, 282, 256, 263, 150, 98, 55, 0, 670, 650, 469, 424, 520, 359, 257, 183, 265, 199, 112, 66, 0), # 45 (674, 693, 572, 609, 513, 236, 288, 261, 273, 154, 98, 60, 0, 692, 664, 481, 434, 536, 368, 264, 186, 271, 205, 114, 67, 0), # 46 (688, 715, 586, 628, 528, 239, 297, 268, 278, 157, 98, 60, 0, 704, 685, 492, 442, 547, 374, 270, 195, 281, 207, 116, 69, 0), # 47 (716, 730, 594, 643, 542, 245, 302, 277, 290, 158, 98, 61, 0, 715, 698, 498, 451, 563, 377, 276, 198, 287, 207, 118, 72, 0), # 48 (726, 748, 611, 660, 556, 251, 308, 281, 295, 164, 99, 62, 0, 733, 713, 509, 461, 575, 384, 283, 202, 291, 210, 119, 72, 0), # 49 (739, 762, 619, 680, 569, 263, 314, 286, 298, 169, 104, 62, 0, 749, 727, 520, 466, 592, 391, 290, 207, 297, 215, 124, 73, 0), # 50 (758, 779, 641, 707, 585, 267, 316, 289, 305, 173, 105, 63, 0, 768, 737, 530, 475, 603, 401, 296, 209, 302, 221, 129, 74, 0), # 51 (770, 791, 660, 718, 594, 275, 323, 296, 313, 174, 106, 66, 0, 785, 755, 539, 481, 616, 409, 301, 213, 315, 224, 131, 75, 0), # 52 (780, 806, 673, 729, 607, 280, 328, 303, 317, 176, 107, 68, 0, 800, 770, 545, 487, 632, 413, 306, 219, 321, 228, 132, 78, 0), # 53 (804, 826, 689, 742, 612, 290, 336, 314, 319, 177, 109, 68, 0, 819, 788, 558, 494, 649, 424, 313, 224, 325, 231, 132, 78, 0), # 54 (822, 844, 703, 759, 623, 296, 342, 317, 324, 181, 109, 68, 0, 830, 807, 568, 499, 662, 434, 318, 228, 331, 236, 133, 80, 0), # 55 (842, 857, 717, 779, 638, 303, 349, 319, 331, 188, 112, 68, 0, 846, 826, 579, 505, 677, 445, 322, 232, 338, 244, 137, 81, 0), # 56 (858, 870, 737, 789, 644, 311, 352, 325, 338, 189, 113, 69, 0, 865, 843, 589, 514, 691, 449, 328, 237, 347, 250, 139, 83, 0), # 57 (877, 885, 747, 809, 652, 318, 358, 334, 341, 196, 116, 69, 0, 883, 858, 595, 522, 704, 454, 335, 241, 352, 253, 146, 87, 0), # 58 (891, 895, 760, 829, 667, 323, 362, 340, 343, 197, 118, 69, 0, 903, 871, 609, 531, 720, 461, 341, 242, 361, 255, 148, 89, 0), # 59 (904, 909, 767, 844, 676, 329, 367, 345, 346, 199, 120, 72, 0, 920, 887, 620, 533, 734, 466, 351, 246, 367, 261, 149, 90, 0), # 60 (920, 925, 780, 857, 687, 338, 373, 347, 354, 202, 122, 72, 0, 938, 896, 627, 545, 752, 472, 357, 249, 373, 266, 153, 92, 0), # 61 (935, 940, 795, 863, 697, 346, 378, 351, 359, 204, 124, 75, 0, 959, 910, 634, 553, 767, 486, 362, 252, 377, 274, 156, 94, 0), # 62 (951, 948, 818, 880, 707, 351, 382, 363, 368, 206, 126, 75, 0, 972, 931, 649, 562, 786, 490, 370, 259, 380, 279, 159, 95, 0), # 63 (969, 961, 840, 890, 713, 356, 386, 367, 371, 210, 128, 77, 0, 988, 947, 658, 567, 798, 496, 377, 265, 387, 285, 162, 96, 0), # 64 (984, 975, 855, 904, 729, 362, 395, 371, 376, 212, 134, 79, 0, 1004, 956, 678, 574, 812, 504, 382, 269, 394, 293, 164, 97, 0), # 65 (1003, 989, 877, 919, 743, 369, 402, 377, 384, 216, 137, 80, 0, 1025, 976, 689, 582, 825, 508, 390, 274, 399, 298, 168, 97, 0), # 66 (1019, 1006, 890, 934, 752, 375, 405, 385, 390, 217, 143, 80, 0, 1041, 997, 705, 593, 838, 514, 400, 279, 407, 301, 169, 99, 0), # 67 (1039, 1019, 903, 951, 764, 379, 412, 394, 396, 221, 147, 86, 0, 1058, 1011, 712, 600, 848, 524, 406, 281, 414, 303, 173, 100, 0), # 68 (1054, 1040, 916, 969, 775, 389, 417, 397, 401, 225, 149, 88, 0, 1074, 1023, 719, 615, 863, 528, 416, 284, 419, 307, 177, 101, 0), # 69 (1069, 1053, 933, 977, 784, 396, 422, 399, 407, 226, 154, 88, 0, 1094, 1032, 733, 618, 880, 534, 426, 292, 422, 313, 178, 101, 0), # 70 (1081, 1069, 946, 994, 799, 407, 433, 403, 418, 232, 156, 88, 0, 1109, 1046, 740, 629, 890, 534, 433, 296, 428, 315, 181, 102, 0), # 71 (1101, 1083, 958, 1009, 812, 411, 441, 408, 421, 236, 157, 91, 0, 1123, 1062, 755, 642, 897, 540, 445, 304, 438, 325, 184, 102, 0), # 72 (1118, 1099, 974, 1024, 828, 419, 447, 412, 425, 239, 161, 92, 0, 1144, 1078, 767, 656, 916, 547, 448, 311, 444, 330, 184, 103, 0), # 73 (1135, 1111, 989, 1036, 840, 425, 453, 418, 431, 241, 163, 92, 0, 1156, 1095, 777, 665, 931, 552, 450, 318, 452, 338, 187, 105, 0), # 74 (1148, 1121, 1003, 1052, 852, 435, 460, 420, 439, 243, 166, 93, 0, 1176, 1103, 788, 676, 945, 556, 457, 321, 457, 339, 191, 105, 0), # 75 (1167, 1143, 1013, 1069, 859, 441, 470, 425, 445, 245, 170, 94, 0, 1187, 1119, 799, 680, 958, 563, 465, 324, 467, 340, 196, 108, 0), # 76 (1176, 1159, 1031, 1077, 866, 449, 474, 430, 447, 247, 175, 96, 0, 1206, 1135, 813, 690, 975, 570, 474, 326, 471, 345, 198, 108, 0), # 77 (1192, 1180, 1044, 1084, 879, 458, 482, 434, 451, 249, 180, 96, 0, 1221, 1155, 826, 695, 986, 586, 481, 329, 476, 351, 201, 109, 0), # 78 (1210, 1190, 1058, 1095, 889, 466, 493, 437, 463, 250, 182, 98, 0, 1237, 1167, 836, 703, 995, 594, 488, 333, 483, 355, 203, 110, 0), # 79 (1224, 1209, 1067, 1111, 908, 473, 499, 445, 471, 251, 187, 99, 0, 1250, 1181, 841, 708, 1006, 600, 491, 338, 489, 361, 205, 113, 0), # 80 (1235, 1222, 1077, 1121, 926, 477, 503, 447, 474, 252, 188, 100, 0, 1263, 1183, 854, 715, 1017, 604, 497, 341, 492, 365, 209, 116, 0), # 81 (1251, 1239, 1088, 1133, 937, 483, 509, 451, 481, 254, 193, 100, 0, 1278, 1197, 868, 734, 1031, 606, 502, 342, 499, 368, 213, 117, 0), # 82 (1266, 1252, 1103, 1156, 947, 489, 512, 455, 484, 254, 194, 103, 0, 1292, 1215, 879, 742, 1042, 617, 508, 343, 509, 371, 215, 117, 0), # 83 (1283, 1263, 1117, 1173, 963, 493, 517, 459, 489, 257, 195, 103, 0, 1309, 1230, 892, 748, 1051, 622, 510, 344, 513, 377, 216, 117, 0), # 84 (1301, 1277, 1133, 1184, 973, 497, 521, 463, 495, 259, 197, 104, 0, 1323, 1241, 901, 752, 1060, 630, 517, 347, 522, 379, 221, 117, 0), # 85 (1314, 1296, 1144, 1199, 982, 503, 529, 467, 500, 263, 198, 108, 0, 1334, 1260, 909, 757, 1073, 634, 525, 354, 531, 381, 224, 119, 0), # 86 (1324, 1307, 1157, 1216, 994, 508, 538, 471, 510, 267, 201, 108, 0, 1351, 1275, 919, 766, 1082, 644, 532, 357, 539, 387, 225, 120, 0), # 87 (1342, 1319, 1172, 1232, 1001, 513, 539, 473, 518, 269, 204, 112, 0, 1369, 1293, 928, 769, 1100, 652, 540, 358, 547, 390, 230, 120, 0), # 88 (1363, 1334, 1189, 1246, 1015, 518, 544, 481, 524, 271, 204, 114, 0, 1384, 1305, 936, 781, 1115, 655, 545, 360, 552, 394, 234, 122, 0), # 89 (1381, 1347, 1204, 1255, 1025, 526, 548, 488, 529, 275, 207, 114, 0, 1398, 1313, 947, 786, 1126, 664, 549, 362, 556, 402, 239, 124, 0), # 90 (1397, 1359, 1216, 1275, 1035, 532, 554, 492, 530, 277, 209, 116, 0, 1415, 1324, 952, 795, 1138, 672, 554, 365, 560, 407, 240, 124, 0), # 91 (1419, 1375, 1225, 1289, 1042, 536, 559, 496, 540, 280, 211, 117, 0, 1427, 1333, 962, 807, 1149, 682, 557, 369, 563, 412, 242, 125, 0), # 92 (1438, 1388, 1245, 1300, 1054, 542, 567, 504, 552, 281, 212, 117, 0, 1445, 1350, 968, 810, 1160, 687, 564, 371, 572, 418, 244, 127, 0), # 93 (1457, 1403, 1256, 1321, 1062, 549, 571, 505, 558, 283, 214, 117, 0, 1466, 1364, 978, 816, 1181, 693, 571, 374, 578, 421, 248, 127, 0), # 94 (1472, 1418, 1268, 1345, 1076, 555, 579, 508, 568, 286, 217, 119, 0, 1490, 1376, 989, 823, 1191, 700, 578, 379, 584, 425, 250, 127, 0), # 95 (1485, 1433, 1282, 1354, 1094, 563, 583, 512, 574, 293, 219, 119, 0, 1504, 1387, 994, 832, 1207, 711, 583, 385, 589, 429, 251, 130, 0), # 96 (1497, 1440, 1297, 1368, 1112, 568, 587, 518, 581, 295, 225, 122, 0, 1523, 1403, 1000, 838, 1226, 713, 590, 389, 593, 437, 253, 132, 0), # 97 (1508, 1448, 1305, 1377, 1121, 573, 590, 522, 587, 297, 227, 123, 0, 1539, 1422, 1012, 843, 1233, 724, 595, 395, 599, 440, 255, 133, 0), # 98 (1518, 1461, 1316, 1390, 1135, 577, 594, 524, 597, 300, 228, 124, 0, 1555, 1436, 1021, 849, 1246, 727, 597, 398, 605, 445, 255, 133, 0), # 99 (1538, 1472, 1326, 1404, 1147, 582, 601, 527, 604, 303, 232, 125, 0, 1567, 1446, 1033, 850, 1261, 731, 605, 404, 610, 452, 256, 135, 0), # 100 (1549, 1482, 1337, 1414, 1162, 587, 606, 530, 611, 304, 233, 125, 0, 1583, 1458, 1041, 860, 1276, 740, 609, 409, 612, 456, 262, 137, 0), # 101 (1561, 1494, 1350, 1425, 1173, 596, 612, 536, 617, 306, 236, 126, 0, 1600, 1470, 1050, 869, 1291, 746, 614, 414, 624, 462, 263, 137, 0), # 102 (1577, 1512, 1362, 1443, 1181, 603, 614, 540, 626, 307, 237, 131, 0, 1615, 1487, 1063, 873, 1307, 748, 620, 418, 628, 465, 266, 140, 0), # 103 (1594, 1523, 1374, 1454, 1194, 611, 620, 543, 631, 312, 240, 132, 0, 1634, 1492, 1072, 879, 1319, 757, 625, 423, 631, 475, 267, 140, 0), # 104 (1607, 1538, 1386, 1466, 1205, 620, 624, 546, 635, 313, 244, 133, 0, 1650, 1509, 1084, 881, 1335, 763, 631, 426, 637, 482, 269, 140, 0), # 105 (1618, 1551, 1398, 1480, 1212, 629, 631, 554, 642, 314, 246, 134, 0, 1666, 1520, 1092, 886, 1345, 770, 635, 430, 644, 483, 271, 141, 0), # 106 (1629, 1559, 1409, 1497, 1228, 634, 637, 557, 649, 315, 248, 136, 0, 1677, 1533, 1098, 890, 1358, 776, 638, 432, 650, 493, 272, 142, 0), # 107 (1646, 1569, 1418, 1512, 1243, 638, 642, 561, 661, 319, 250, 137, 0, 1689, 1547, 1107, 897, 1374, 779, 644, 436, 654, 494, 278, 143, 0), # 108 (1672, 1580, 1432, 1533, 1256, 643, 647, 566, 664, 320, 255, 138, 0, 1706, 1557, 1114, 903, 1382, 787, 652, 439, 659, 496, 280, 144, 0), # 109 (1686, 1594, 1453, 1553, 1277, 648, 648, 570, 666, 322, 256, 141, 0, 1718, 1571, 1126, 912, 1397, 790, 657, 442, 664, 501, 283, 144, 0), # 110 (1705, 1610, 1472, 1567, 1291, 656, 650, 571, 673, 324, 258, 144, 0, 1738, 1581, 1133, 921, 1408, 796, 661, 446, 667, 506, 284, 145, 0), # 111 (1725, 1622, 1482, 1576, 1306, 658, 656, 575, 681, 329, 260, 145, 0, 1758, 1589, 1140, 929, 1419, 804, 666, 449, 673, 514, 286, 147, 0), # 112 (1736, 1635, 1499, 1590, 1322, 667, 662, 579, 688, 332, 262, 145, 0, 1772, 1605, 1150, 935, 1430, 811, 670, 451, 679, 516, 288, 149, 0), # 113 (1749, 1648, 1512, 1600, 1335, 670, 665, 580, 692, 335, 267, 146, 0, 1782, 1620, 1156, 944, 1441, 812, 677, 454, 685, 519, 290, 149, 0), # 114 (1759, 1662, 1529, 1612, 1349, 678, 670, 582, 697, 339, 268, 147, 0, 1799, 1630, 1173, 953, 1450, 822, 680, 459, 693, 522, 292, 149, 0), # 115 (1773, 1669, 1543, 1626, 1366, 686, 675, 588, 700, 342, 269, 147, 0, 1809, 1641, 1183, 961, 1465, 828, 685, 466, 702, 528, 295, 150, 0), # 116 (1784, 1684, 1558, 1638, 1379, 691, 678, 593, 707, 344, 270, 148, 0, 1827, 1649, 1198, 972, 1472, 836, 686, 470, 708, 533, 297, 151, 0), # 117 (1801, 1690, 1573, 1649, 1391, 696, 683, 595, 712, 349, 272, 149, 0, 1851, 1656, 1208, 978, 1488, 838, 692, 479, 711, 537, 298, 152, 0), # 118 (1818, 1706, 1590, 1662, 1398, 701, 687, 602, 716, 349, 275, 150, 0, 1866, 1666, 1213, 985, 1497, 839, 695, 484, 715, 540, 301, 153, 0), # 119 (1829, 1715, 1604, 1676, 1413, 704, 690, 604, 722, 351, 276, 150, 0, 1883, 1677, 1221, 994, 1509, 848, 696, 485, 719, 546, 302, 155, 0), # 120 (1841, 1727, 1618, 1683, 1427, 709, 693, 606, 729, 353, 278, 151, 0, 1895, 1688, 1233, 1001, 1515, 852, 698, 485, 724, 551, 303, 155, 0), # 121 (1852, 1736, 1632, 1697, 1442, 718, 702, 609, 735, 356, 278, 152, 0, 1908, 1695, 1237, 1007, 1529, 858, 708, 489, 729, 557, 303, 155, 0), # 122 (1860, 1750, 1651, 1712, 1459, 720, 703, 613, 740, 358, 280, 153, 0, 1926, 1706, 1250, 1018, 1535, 868, 711, 493, 737, 559, 305, 155, 0), # 123 (1874, 1758, 1663, 1728, 1467, 722, 708, 615, 746, 362, 281, 153, 0, 1948, 1717, 1257, 1026, 1547, 877, 716, 497, 743, 559, 306, 155, 0), # 124 (1891, 1771, 1673, 1746, 1477, 726, 717, 618, 751, 365, 281, 157, 0, 1971, 1729, 1267, 1033, 1567, 886, 719, 504, 750, 565, 307, 155, 0), # 125 (1903, 1780, 1682, 1753, 1487, 728, 723, 621, 757, 366, 283, 158, 0, 1980, 1745, 1271, 1043, 1580, 888, 720, 509, 756, 567, 310, 155, 0), # 126 (1917, 1791, 1688, 1764, 1502, 731, 728, 624, 765, 367, 285, 160, 0, 1992, 1754, 1279, 1050, 1585, 895, 729, 514, 763, 571, 314, 156, 0), # 127 (1930, 1802, 1701, 1776, 1516, 737, 733, 629, 768, 369, 286, 161, 0, 2012, 1766, 1291, 1056, 1596, 908, 732, 520, 771, 572, 319, 158, 0), # 128 (1948, 1809, 1713, 1788, 1529, 739, 736, 634, 775, 369, 287, 163, 0, 2027, 1777, 1304, 1068, 1611, 914, 738, 521, 777, 576, 322, 159, 0), # 129 (1956, 1817, 1725, 1805, 1540, 742, 743, 636, 777, 372, 287, 163, 0, 2037, 1784, 1313, 1078, 1625, 920, 739, 524, 782, 580, 324, 160, 0), # 130 (1969, 1827, 1742, 1815, 1549, 747, 747, 637, 781, 375, 289, 165, 0, 2051, 1794, 1321, 1089, 1640, 927, 745, 527, 787, 582, 324, 160, 0), # 131 (1991, 1833, 1755, 1825, 1560, 751, 756, 642, 791, 377, 292, 165, 0, 2062, 1809, 1325, 1096, 1652, 940, 749, 529, 790, 587, 326, 162, 0), # 132 (1999, 1851, 1770, 1836, 1573, 757, 760, 648, 802, 380, 292, 168, 0, 2075, 1822, 1335, 1107, 1659, 947, 752, 534, 794, 589, 327, 162, 0), # 133 (2013, 1868, 1780, 1844, 1584, 759, 768, 653, 809, 382, 295, 171, 0, 2088, 1830, 1346, 1115, 1670, 951, 754, 537, 797, 592, 327, 163, 0), # 134 (2020, 1878, 1791, 1858, 1591, 774, 775, 656, 812, 384, 295, 171, 0, 2103, 1836, 1356, 1119, 1679, 954, 757, 543, 803, 598, 328, 164, 0), # 135 (2033, 1889, 1800, 1864, 1601, 776, 775, 660, 816, 388, 297, 171, 0, 2118, 1845, 1366, 1126, 1690, 957, 762, 544, 813, 599, 330, 164, 0), # 136 (2048, 1896, 1811, 1873, 1611, 778, 777, 663, 820, 392, 298, 171, 0, 2132, 1859, 1371, 1129, 1701, 963, 768, 548, 817, 604, 332, 166, 0), # 137 (2054, 1907, 1825, 1888, 1620, 785, 781, 665, 820, 392, 301, 171, 0, 2139, 1871, 1379, 1137, 1713, 966, 773, 552, 821, 605, 333, 167, 0), # 138 (2064, 1915, 1838, 1895, 1631, 788, 785, 672, 825, 394, 304, 171, 0, 2157, 1884, 1383, 1145, 1721, 969, 776, 555, 824, 611, 338, 169, 0), # 139 (2078, 1931, 1851, 1907, 1644, 791, 785, 675, 831, 395, 306, 172, 0, 2167, 1891, 1388, 1152, 1729, 974, 777, 558, 832, 616, 339, 170, 0), # 140 (2092, 1943, 1869, 1917, 1656, 795, 787, 677, 838, 395, 307, 172, 0, 2178, 1895, 1400, 1159, 1744, 980, 782, 559, 836, 621, 343, 172, 0), # 141 (2103, 1952, 1883, 1929, 1662, 801, 789, 681, 846, 397, 311, 172, 0, 2195, 1907, 1412, 1164, 1753, 988, 787, 561, 842, 630, 347, 172, 0), # 142 (2118, 1961, 1893, 1945, 1669, 807, 796, 683, 848, 400, 313, 173, 0, 2215, 1918, 1425, 1173, 1765, 995, 788, 571, 852, 633, 349, 174, 0), # 143 (2135, 1972, 1900, 1961, 1683, 813, 800, 685, 854, 400, 314, 175, 0, 2229, 1930, 1434, 1180, 1782, 1000, 792, 573, 856, 638, 352, 174, 0), # 144 (2147, 1983, 1912, 1974, 1691, 818, 805, 690, 860, 402, 315, 175, 0, 2243, 1941, 1440, 1189, 1793, 1007, 796, 577, 862, 643, 355, 175, 0), # 145 (2156, 1990, 1921, 1981, 1697, 823, 809, 693, 866, 404, 316, 175, 0, 2263, 1949, 1451, 1201, 1803, 1012, 800, 582, 868, 647, 356, 176, 0), # 146 (2170, 1999, 1931, 1994, 1705, 824, 813, 695, 873, 408, 317, 175, 0, 2280, 1964, 1457, 1207, 1815, 1017, 803, 586, 873, 650, 359, 176, 0), # 147 (2182, 2003, 1939, 2010, 1715, 828, 818, 699, 878, 409, 318, 176, 0, 2291, 1971, 1464, 1213, 1828, 1020, 805, 589, 876, 653, 361, 178, 0), # 148 (2195, 2014, 1956, 2022, 1723, 831, 823, 702, 882, 412, 322, 178, 0, 2307, 1979, 1475, 1217, 1841, 1024, 809, 592, 881, 656, 363, 179, 0), # 149 (2205, 2021, 1975, 2032, 1731, 835, 830, 706, 888, 413, 325, 178, 0, 2320, 1989, 1485, 1225, 1853, 1029, 812, 596, 890, 659, 365, 179, 0), # 150 (2221, 2031, 1982, 2043, 1742, 838, 835, 715, 891, 415, 327, 178, 0, 2336, 1994, 1494, 1231, 1862, 1031, 813, 597, 895, 665, 371, 179, 0), # 151 (2232, 2043, 1988, 2055, 1751, 840, 838, 720, 896, 417, 328, 180, 0, 2343, 2003, 1497, 1235, 1874, 1037, 815, 601, 902, 670, 376, 179, 0), # 152 (2243, 2049, 1998, 2064, 1759, 843, 841, 723, 903, 421, 329, 180, 0, 2354, 2017, 1499, 1246, 1886, 1041, 819, 609, 907, 674, 377, 179, 0), # 153 (2257, 2060, 2005, 2076, 1771, 848, 848, 731, 910, 424, 331, 181, 0, 2363, 2032, 1513, 1250, 1888, 1048, 823, 615, 908, 679, 383, 181, 0), # 154 (2268, 2069, 2015, 2085, 1785, 856, 853, 734, 913, 425, 332, 182, 0, 2378, 2043, 1516, 1256, 1898, 1052, 829, 618, 913, 685, 385, 181, 0), # 155 (2282, 2076, 2029, 2100, 1793, 865, 858, 736, 918, 426, 336, 184, 0, 2385, 2053, 1524, 1259, 1908, 1057, 834, 622, 914, 690, 385, 182, 0), # 156 (2292, 2087, 2042, 2114, 1799, 878, 861, 737, 925, 429, 336, 186, 0, 2400, 2063, 1537, 1264, 1926, 1062, 838, 624, 921, 694, 393, 183, 0), # 157 (2306, 2096, 2049, 2126, 1806, 885, 864, 741, 932, 432, 339, 187, 0, 2416, 2074, 1542, 1268, 1937, 1070, 840, 627, 926, 703, 395, 183, 0), # 158 (2317, 2106, 2058, 2139, 1820, 889, 867, 743, 934, 437, 339, 187, 0, 2435, 2080, 1547, 1273, 1947, 1075, 843, 629, 932, 710, 399, 185, 0), # 159 (2325, 2112, 2069, 2149, 1833, 896, 870, 748, 940, 441, 339, 188, 0, 2448, 2090, 1549, 1276, 1955, 1083, 848, 633, 938, 712, 405, 185, 0), # 160 (2331, 2120, 2084, 2161, 1842, 904, 873, 751, 948, 443, 340, 189, 0, 2463, 2097, 1560, 1279, 1969, 1089, 851, 637, 944, 713, 408, 186, 0), # 161 (2343, 2129, 2098, 2166, 1852, 906, 876, 757, 950, 445, 341, 190, 0, 2468, 2110, 1571, 1281, 1978, 1093, 855, 638, 949, 715, 408, 186, 0), # 162 (2351, 2136, 2106, 2184, 1857, 910, 879, 762, 951, 446, 341, 192, 0, 2482, 2116, 1580, 1284, 1986, 1098, 858, 641, 952, 717, 411, 187, 0), # 163 (2364, 2147, 2113, 2191, 1867, 913, 884, 767, 956, 447, 342, 192, 0, 2485, 2124, 1587, 1289, 1997, 1101, 859, 644, 958, 723, 412, 188, 0), # 164 (2380, 2163, 2119, 2206, 1874, 916, 886, 770, 959, 448, 342, 195, 0, 2499, 2143, 1594, 1296, 2007, 1104, 860, 649, 961, 724, 413, 190, 0), # 165 (2393, 2169, 2127, 2219, 1890, 918, 890, 779, 963, 448, 343, 195, 0, 2507, 2151, 1598, 1300, 2014, 1109, 862, 654, 966, 729, 414, 190, 0), # 166 (2403, 2179, 2136, 2225, 1897, 920, 891, 781, 968, 450, 346, 196, 0, 2517, 2163, 1610, 1306, 2017, 1113, 866, 659, 971, 730, 415, 190, 0), # 167 (2414, 2185, 2142, 2235, 1909, 922, 892, 785, 974, 452, 348, 198, 0, 2531, 2176, 1617, 1313, 2027, 1115, 869, 664, 978, 734, 415, 190, 0), # 168 (2431, 2188, 2147, 2244, 1916, 926, 894, 787, 979, 454, 348, 198, 0, 2547, 2185, 1624, 1318, 2038, 1119, 869, 668, 983, 741, 415, 190, 0), # 169 (2441, 2196, 2155, 2255, 1922, 930, 896, 790, 984, 457, 349, 199, 0, 2555, 2195, 1627, 1322, 2050, 1122, 874, 670, 984, 744, 417, 190, 0), # 170 (2447, 2200, 2159, 2259, 1927, 934, 899, 792, 986, 457, 349, 200, 0, 2562, 2201, 1633, 1324, 2059, 1126, 876, 674, 989, 747, 418, 190, 0), # 171 (2455, 2206, 2173, 2262, 1935, 940, 901, 794, 991, 457, 350, 201, 0, 2574, 2206, 1637, 1327, 2069, 1127, 878, 676, 989, 752, 420, 191, 0), # 172 (2467, 2213, 2184, 2270, 1941, 946, 905, 795, 995, 458, 350, 201, 0, 2583, 2216, 1642, 1329, 2080, 1130, 881, 678, 994, 754, 420, 191, 0), # 173 (2473, 2219, 2193, 2275, 1946, 949, 908, 795, 998, 460, 350, 201, 0, 2592, 2225, 1644, 1331, 2091, 1132, 887, 682, 1001, 756, 422, 192, 0), # 174 (2477, 2225, 2199, 2279, 1955, 952, 911, 796, 1004, 461, 351, 201, 0, 2599, 2232, 1651, 1335, 2100, 1138, 887, 684, 1005, 758, 424, 193, 0), # 175 (2484, 2229, 2209, 2285, 1959, 955, 913, 797, 1008, 461, 351, 201, 0, 2606, 2247, 1656, 1337, 2106, 1140, 891, 685, 1009, 761, 428, 193, 0), # 176 (2491, 2230, 2211, 2289, 1963, 955, 915, 799, 1010, 461, 351, 201, 0, 2615, 2253, 1658, 1343, 2109, 1143, 893, 688, 1011, 761, 430, 193, 0), # 177 (2494, 2232, 2216, 2292, 1966, 955, 920, 802, 1014, 461, 353, 201, 0, 2618, 2257, 1663, 1349, 2113, 1146, 898, 689, 1013, 762, 435, 194, 0), # 178 (2494, 2232, 2216, 2292, 1966, 955, 920, 802, 1014, 461, 353, 201, 0, 2618, 2257, 1663, 1349, 2113, 1146, 898, 689, 1013, 762, 435, 194, 0), # 179 ) passenger_arriving_rate = ( (8.033384925394829, 8.103756554216645, 6.9483776394833425, 7.45760132863612, 5.924997981450252, 2.9294112699015167, 3.3168284922991322, 3.102117448652949, 3.2480528331562706, 1.5832060062089484, 1.1214040437028276, 0.6530553437741565, 0.0, 8.134208340125381, 7.183608781515721, 5.607020218514138, 4.749618018626844, 6.496105666312541, 4.342964428114128, 3.3168284922991322, 2.0924366213582264, 2.962498990725126, 2.4858671095453735, 1.3896755278966686, 0.7367051412924223, 0.0), # 0 (8.566923443231959, 8.638755684745645, 7.407128788440204, 7.95017310393194, 6.317323026639185, 3.122918011773052, 3.535575153010955, 3.306342481937139, 3.462530840710885, 1.6875922769108604, 1.1954923029216353, 0.6961622214419141, 0.0, 8.671666635903767, 7.657784435861053, 5.9774615146081755, 5.06277683073258, 6.92506168142177, 4.628879474711995, 3.535575153010955, 2.230655722695037, 3.1586615133195926, 2.650057701310647, 1.4814257576880407, 0.7853414258859679, 0.0), # 1 (9.09875681436757, 9.171631583973436, 7.864056380729885, 8.440785245597754, 6.708227171999727, 3.3156527735449486, 3.7534548063685635, 3.5097501652696135, 3.676152963668026, 1.7915655100082188, 1.269286173007017, 0.7390976869404075, 0.0, 9.206983725135505, 8.13007455634448, 6.346430865035084, 5.374696530024655, 7.352305927336052, 4.913650231377459, 3.7534548063685635, 2.3683234096749635, 3.3541135859998636, 2.8135950818659183, 1.5728112761459772, 0.8337846894521307, 0.0), # 2 (9.6268124690345, 9.70027006950679, 8.317347825759807, 8.927491689038488, 7.096172454402028, 3.5068512477461056, 3.9696029133183646, 3.7115341049963386, 3.8880720858245827, 1.8947130793704727, 1.3424929098206355, 0.7816914246573948, 0.0, 9.738036490006762, 8.598605671231342, 6.712464549103178, 5.684139238111417, 7.7761441716491655, 5.196147746994874, 3.9696029133183646, 2.5048937483900753, 3.548086227201014, 2.97583056301283, 1.6634695651519613, 0.8818427335915264, 0.0), # 3 (10.149017837465571, 10.222556958952469, 8.765190532937382, 9.408346369659084, 7.479620910716259, 3.6957491269054237, 4.183154934806767, 3.910887907463277, 4.097441090977444, 1.996622358867072, 1.4148197692241535, 0.8237731189806353, 0.0, 10.262701812703709, 9.061504308786986, 7.074098846120767, 5.9898670766012145, 8.194882181954888, 5.475243070448588, 4.183154934806767, 2.6398208049324454, 3.7398104553581293, 3.136115456553029, 1.7530381065874767, 0.9293233599047701, 0.0), # 4 (10.663300349893618, 10.736378069917262, 9.205771911670025, 9.881403222864472, 7.8570345778125645, 3.8815821035518008, 4.393246331780179, 4.1070051790163955, 4.303412862923498, 2.096880722367466, 1.4859740070792353, 0.8651724542978865, 0.0, 10.778856575412524, 9.51689699727675, 7.429870035396177, 6.290642167102396, 8.606825725846996, 5.749807250622953, 4.393246331780179, 2.772558645394143, 3.9285172889062823, 3.2938010742881585, 1.841154382334005, 0.9760343699924785, 0.0), # 5 (11.167587436551466, 11.239619220007935, 9.637279371365155, 10.344716184059584, 8.226875492561113, 4.06358587021414, 4.59901256518501, 4.299079526001659, 4.5051402854596345, 2.195075543741104, 1.555662879247542, 0.9057191149969079, 0.0, 11.284377660319372, 9.962910264965986, 7.77831439623771, 6.5852266312233105, 9.010280570919269, 6.018711336402323, 4.59901256518501, 2.902561335867243, 4.113437746280557, 3.448238728019862, 1.9274558742730312, 1.021783565455267, 0.0), # 6 (11.65980652767195, 11.73016622683126, 10.05790032143018, 10.796339188649355, 8.587605691832056, 4.2409961194213395, 4.799589095967668, 4.486304554765035, 4.701776242382744, 2.2907941968574352, 1.6235936415907386, 0.9452427854654573, 0.0, 11.777141949610431, 10.397670640120028, 8.117968207953693, 6.872382590572304, 9.403552484765488, 6.280826376671049, 4.799589095967668, 3.029282942443814, 4.293802845916028, 3.598779729549786, 2.0115800642860364, 1.066378747893751, 0.0), # 7 (12.137885053487896, 12.205904907994013, 10.465822171272528, 11.234326172038713, 8.937687212495558, 4.413048543702297, 4.994111385074558, 4.667873871652484, 4.89247361748971, 2.3836240555859103, 1.6894735499704858, 0.9835731500912939, 0.0, 12.255026325471867, 10.81930465100423, 8.447367749852429, 7.150872166757729, 9.78494723497942, 6.535023420313477, 4.994111385074558, 3.152177531215927, 4.468843606247779, 3.744775390679572, 2.093164434254506, 1.1096277189085468, 0.0), # 8 (12.599750444232136, 12.664721081102966, 10.859232330299607, 11.656731069632603, 9.27558209142177, 4.578978835585919, 5.181714893452096, 4.842981083009976, 5.076385294577426, 2.4731524937959772, 1.7530098602484476, 1.0205398932621754, 0.0, 12.71590767008986, 11.225938825883926, 8.765049301242238, 7.41945748138793, 10.152770589154851, 6.780173516213966, 5.181714893452096, 3.270699168275656, 4.637791045710885, 3.8855770232108684, 2.1718464660599213, 1.1513382801002698, 0.0), # 9 (13.043330130137491, 13.104500563764889, 11.236318207918833, 12.061607816835945, 9.599752365480853, 4.7380226876011005, 5.361535082046684, 5.010819795183474, 5.252664157442781, 2.558966885357086, 1.8139098282862867, 1.0559726993658605, 0.0, 13.157662865650577, 11.615699693024464, 9.069549141431432, 7.676900656071258, 10.505328314885562, 7.015147713256865, 5.361535082046684, 3.3843019197150714, 4.799876182740427, 4.020535938945316, 2.247263641583767, 1.1913182330695355, 0.0), # 10 (13.466551541436809, 13.52312917358657, 11.595267213537621, 12.447010349053677, 9.908660071542968, 4.889415792276744, 5.532707411804733, 5.170583614518944, 5.420463089882663, 2.640654604138688, 1.8718807099456667, 1.0897012527901082, 0.0, 13.57816879434018, 11.986713780691188, 9.359403549728333, 7.921963812416063, 10.840926179765326, 7.238817060326522, 5.532707411804733, 3.4924398516262456, 4.954330035771484, 4.14900344968456, 2.3190534427075247, 1.229375379416961, 0.0), # 11 (13.8673421083629, 13.918492728174757, 11.934266756563387, 12.810992601690735, 10.200767246478268, 5.032393842141746, 5.694367343672649, 5.321466147362347, 5.578934975693962, 2.7178030240102293, 1.9266297610882495, 1.1215552379226759, 0.0, 13.975302338344855, 12.337107617149433, 9.633148805441246, 8.153409072030687, 11.157869951387925, 7.4500526063072865, 5.694367343672649, 3.5945670301012465, 5.100383623239134, 4.270330867230246, 2.3868533513126775, 1.26531752074316, 0.0), # 12 (14.243629261148602, 14.288477045136244, 12.251504246403549, 13.151608510152053, 10.474535927156907, 5.166192529725009, 5.845650338596845, 5.462661000059654, 5.727232698673564, 2.7899995188411624, 1.9778642375756985, 1.1513643391513229, 0.0, 14.346940379850777, 12.66500773066455, 9.889321187878492, 8.369998556523486, 11.454465397347128, 7.647725400083517, 5.845650338596845, 3.6901375212321494, 5.237267963578454, 4.383869503384019, 2.45030084928071, 1.2989524586487495, 0.0), # 13 (14.593340430026746, 14.630967942077797, 12.54516709246553, 13.466912009842552, 10.728428150449055, 5.2900475475554325, 5.9856918575237295, 5.593361778956831, 5.864509142618358, 2.856831462500934, 2.0252913952696763, 1.1789582408638082, 0.0, 14.690959801044102, 12.968540649501888, 10.12645697634838, 8.570494387502801, 11.729018285236716, 7.830706490539565, 5.9856918575237295, 3.778605391111023, 5.3642140752245275, 4.488970669947518, 2.509033418493106, 1.3300879947343454, 0.0), # 14 (14.914403045230168, 14.943851236606186, 12.813442704156724, 13.754957036167184, 10.960905953224861, 5.403194588161918, 6.1136273613997005, 5.7127620903998375, 5.989917191325237, 2.917886228858997, 2.0686184900318456, 1.2041666274478897, 0.0, 15.00523748411101, 13.245832901926784, 10.343092450159226, 8.753658686576989, 11.979834382650473, 7.997866926559773, 6.1136273613997005, 3.8594247058299413, 5.480452976612431, 4.584985678722395, 2.562688540831345, 1.3585319306005625, 0.0), # 15 (15.204744536991681, 15.225012746328195, 13.054518490884568, 14.013797524530858, 11.170431372354487, 5.504869344073363, 6.228592311171181, 5.820055540734641, 6.102609728591085, 2.972751191784799, 2.1075527777238703, 1.2268191832913256, 0.0, 15.287650311237673, 13.495011016204579, 10.53776388861935, 8.918253575354395, 12.20521945718217, 8.148077757028497, 6.228592311171181, 3.932049531480973, 5.585215686177244, 4.671265841510287, 2.6109036981769136, 1.384092067848018, 0.0), # 16 (15.46229233554412, 15.472338288850588, 13.266581862056471, 14.241487410338536, 11.355466444708094, 5.594307507818667, 6.329722167784569, 5.914435736307213, 6.201739638212791, 3.021013725147788, 2.141801514207413, 1.2467455927818742, 0.0, 15.536075164610265, 13.714201520600614, 10.709007571037066, 9.063041175443361, 12.403479276425582, 8.280210030830098, 6.329722167784569, 3.9959339341561906, 5.677733222354047, 4.747162470112846, 2.6533163724112945, 1.4065762080773265, 0.0), # 17 (15.684973871120327, 15.683713681780135, 13.447820227079841, 14.436080628995136, 11.514473207155827, 5.670744771926737, 6.416152392186281, 5.995096283463507, 6.286459803987251, 3.0622612028174157, 2.171071955344136, 1.2637755403072954, 0.0, 15.748388926414954, 13.901530943380248, 10.855359776720679, 9.186783608452245, 12.572919607974502, 8.39313479684891, 6.416152392186281, 4.050531979947669, 5.757236603577914, 4.812026876331712, 2.689564045415968, 1.4257921528891033, 0.0), # 18 (15.870716573953118, 15.857024742723624, 13.596420995362104, 14.59563111590558, 11.645913696567856, 5.733416828926462, 6.4870184453227155, 6.061230788549498, 6.355923109711349, 3.0960809986631324, 2.1950713569957014, 1.2777387102553464, 0.0, 15.922468478837914, 14.055125812808807, 10.975356784978505, 9.288242995989394, 12.711846219422698, 8.485723103969297, 6.4870184453227155, 4.095297734947473, 5.822956848283928, 4.865210371968527, 2.7192841990724212, 1.441547703883966, 0.0), # 19 (16.01744787427533, 15.990157289287811, 13.710571576310672, 14.718192806474825, 11.748249949814339, 5.781559371346751, 6.54145578814029, 6.112032857911145, 6.409282439181973, 3.1220604865543846, 2.213506975023774, 1.2884647870137858, 0.0, 16.05619070406532, 14.17311265715164, 11.067534875118868, 9.366181459663151, 12.818564878363945, 8.556846001075604, 6.54145578814029, 4.129685265247679, 5.874124974907169, 4.9060642688249425, 2.7421143152621346, 1.4536506626625285, 0.0), # 20 (16.123095202319785, 16.080997139079486, 13.78845937933296, 14.801819636107783, 11.819944003765428, 5.8144080917165, 6.578599881585408, 6.1466960978944165, 6.445690676196012, 3.139787040360623, 2.226086065290016, 1.2957834549703726, 0.0, 16.147432484283325, 14.253618004674097, 11.13043032645008, 9.419361121081867, 12.891381352392024, 8.605374537052183, 6.578599881585408, 4.153148636940357, 5.909972001882714, 4.933939878702596, 2.757691875866592, 1.461908830825408, 0.0), # 21 (16.18558598831933, 16.12743010970541, 13.82827181383638, 14.844565540209405, 11.85945789529128, 5.83119868256461, 6.59758618660448, 6.164414114845277, 6.464300704550355, 3.148848033951298, 2.232515883656091, 1.2995243985128655, 0.0, 16.194070701678125, 14.294768383641518, 11.162579418280455, 9.446544101853892, 12.92860140910071, 8.630179760783388, 6.59758618660448, 4.1651419161175784, 5.92972894764564, 4.948188513403136, 2.7656543627672763, 1.4661300099732195, 0.0), # 22 (16.208629381348224, 16.132927937814358, 13.83323090992227, 14.849916975308645, 11.869580859768103, 5.833333333333334, 6.599843201807471, 6.166329218106997, 6.466627325102881, 3.149916909007774, 2.233322143243131, 1.2999863435451913, 0.0, 16.2, 14.299849778997103, 11.166610716215654, 9.44975072702332, 12.933254650205763, 8.632860905349796, 6.599843201807471, 4.166666666666667, 5.9347904298840515, 4.949972325102882, 2.7666461819844543, 1.4666298125285782, 0.0), # 23 (16.225619860854646, 16.12972098765432, 13.832419753086421, 14.849258333333335, 11.875314787855842, 5.833333333333334, 6.598603050108934, 6.163666666666667, 6.466315555555555, 3.149260246913581, 2.2332332210998884, 1.2998781893004117, 0.0, 16.2, 14.298660082304526, 11.166166105499443, 9.44778074074074, 12.93263111111111, 8.629133333333334, 6.598603050108934, 4.166666666666667, 5.937657393927921, 4.949752777777779, 2.7664839506172845, 1.4663382716049385, 0.0), # 24 (16.242251568338528, 16.1233996342021, 13.830818472793784, 14.847955246913582, 11.880922608634137, 5.833333333333334, 6.596159122085048, 6.158436213991771, 6.465699588477367, 3.1479675354366723, 2.233056906513697, 1.2996646852613931, 0.0, 16.2, 14.296311537875322, 11.165284532568485, 9.443902606310015, 12.931399176954734, 8.62181069958848, 6.596159122085048, 4.166666666666667, 5.940461304317068, 4.949318415637862, 2.766163694558757, 1.4657636031092822, 0.0), # 25 (16.258523230476854, 16.114060448102425, 13.828449016918157, 14.846022530864197, 11.886404126315846, 5.833333333333334, 6.592549374646977, 6.150736625514405, 6.46478732510288, 3.146060283493371, 2.2327947956935614, 1.2993487578113097, 0.0, 16.2, 14.292836335924404, 11.163973978467807, 9.43818085048011, 12.92957465020576, 8.611031275720167, 6.592549374646977, 4.166666666666667, 5.943202063157923, 4.948674176954733, 2.7656898033836312, 1.46491458619113, 0.0), # 26 (16.27443357394662, 16.1018, 13.825333333333333, 14.843475, 11.891759145113827, 5.833333333333334, 6.587811764705883, 6.140666666666667, 6.463586666666666, 3.143560000000001, 2.232448484848485, 1.2989333333333337, 0.0, 16.2, 14.288266666666669, 11.162242424242425, 9.430679999999999, 12.927173333333332, 8.596933333333334, 6.587811764705883, 4.166666666666667, 5.945879572556914, 4.947825000000001, 2.765066666666667, 1.4638000000000002, 0.0), # 27 (16.2899813254248, 16.08671486053955, 13.821493369913123, 14.840327469135804, 11.896987469240962, 5.833333333333334, 6.581984249172921, 6.12832510288066, 6.462105514403292, 3.140488193872886, 2.232019570187472, 1.2984213382106389, 0.0, 16.2, 14.282634720317025, 11.160097850937358, 9.421464581618656, 12.924211028806583, 8.579655144032923, 6.581984249172921, 4.166666666666667, 5.948493734620481, 4.946775823045269, 2.764298673982625, 1.462428623685414, 0.0), # 28 (16.3051652115884, 16.0689016003658, 13.816951074531323, 14.83659475308642, 11.902088902910101, 5.833333333333334, 6.575104784959253, 6.113810699588477, 6.460351769547325, 3.1368663740283504, 2.2315096479195247, 1.2978156988263985, 0.0, 16.2, 14.27597268709038, 11.157548239597624, 9.41059912208505, 12.92070353909465, 8.559334979423868, 6.575104784959253, 4.166666666666667, 5.951044451455051, 4.945531584362141, 2.763390214906265, 1.460809236396891, 0.0), # 29 (16.319983959114396, 16.04845679012346, 13.811728395061728, 14.832291666666666, 11.907063250334119, 5.833333333333334, 6.567211328976035, 6.097222222222222, 6.458333333333333, 3.1327160493827173, 2.230920314253648, 1.297119341563786, 0.0, 16.2, 14.268312757201645, 11.15460157126824, 9.398148148148149, 12.916666666666666, 8.536111111111111, 6.567211328976035, 4.166666666666667, 5.953531625167059, 4.944097222222223, 2.7623456790123457, 1.458950617283951, 0.0), # 30 (16.334436294679772, 16.02547700045725, 13.805847279378145, 14.82743302469136, 11.911910315725876, 5.833333333333334, 6.558341838134432, 6.078658436213992, 6.456058106995885, 3.1280587288523103, 2.2302531653988447, 1.296335192805975, 0.0, 16.2, 14.259687120865724, 11.151265826994223, 9.384176186556928, 12.91211621399177, 8.510121810699589, 6.558341838134432, 4.166666666666667, 5.955955157862938, 4.942477674897121, 2.761169455875629, 1.4568615454961138, 0.0), # 31 (16.34852094496153, 16.00005880201189, 13.799329675354366, 14.82203364197531, 11.916629903298237, 5.833333333333334, 6.548534269345599, 6.058218106995886, 6.453533991769548, 3.1229159213534534, 2.229509797564119, 1.2954661789361381, 0.0, 16.2, 14.250127968297518, 11.147548987820594, 9.368747764060357, 12.907067983539095, 8.48150534979424, 6.548534269345599, 4.166666666666667, 5.958314951649118, 4.940677880658438, 2.759865935070873, 1.4545508001828993, 0.0), # 32 (16.362236636636634, 15.972298765432097, 13.792197530864199, 14.816108333333332, 11.921221817264065, 5.833333333333334, 6.537826579520697, 6.0360000000000005, 6.450768888888889, 3.1173091358024703, 2.228691806958474, 1.2945152263374486, 0.0, 16.2, 14.239667489711932, 11.143459034792368, 9.351927407407409, 12.901537777777778, 8.450400000000002, 6.537826579520697, 4.166666666666667, 5.960610908632033, 4.938702777777778, 2.75843950617284, 1.452027160493827, 0.0), # 33 (16.375582096382097, 15.942293461362596, 13.784472793781436, 14.809671913580248, 11.92568586183623, 5.833333333333334, 6.526256725570888, 6.012102880658436, 6.447770699588479, 3.111259881115685, 2.2278007897909133, 1.2934852613930805, 0.0, 16.2, 14.228337875323884, 11.139003948954567, 9.333779643347052, 12.895541399176958, 8.41694403292181, 6.526256725570888, 4.166666666666667, 5.962842930918115, 4.93655730452675, 2.7568945587562874, 1.449299405578418, 0.0), # 34 (16.388556050874893, 15.9101394604481, 13.776177411979882, 14.802739197530864, 11.930021841227594, 5.833333333333334, 6.513862664407327, 5.986625514403293, 6.4445473251028815, 3.1047896662094203, 2.226838342270441, 1.2923792104862066, 0.0, 16.2, 14.216171315348271, 11.134191711352205, 9.314368998628257, 12.889094650205763, 8.381275720164611, 6.513862664407327, 4.166666666666667, 5.965010920613797, 4.934246399176955, 2.755235482395977, 1.4463763145861912, 0.0), # 35 (16.40115722679201, 15.87593333333333, 13.767333333333335, 14.795325, 11.934229559651024, 5.833333333333334, 6.500682352941176, 5.959666666666668, 6.441106666666666, 3.097920000000001, 2.225806060606061, 1.2912000000000003, 0.0, 16.2, 14.203200000000002, 11.129030303030303, 9.29376, 12.882213333333333, 8.343533333333335, 6.500682352941176, 4.166666666666667, 5.967114779825512, 4.931775000000001, 2.753466666666667, 1.4432666666666667, 0.0), # 36 (16.41338435081044, 15.839771650663007, 13.757962505715593, 14.78744413580247, 11.938308821319383, 5.833333333333334, 6.486753748083595, 5.931325102880659, 6.437456625514404, 3.090672391403751, 2.2247055410067764, 1.2899505563176348, 0.0, 16.2, 14.18945611949398, 11.123527705033881, 9.27201717421125, 12.874913251028808, 8.303855144032923, 6.486753748083595, 4.166666666666667, 5.969154410659692, 4.929148045267491, 2.751592501143119, 1.4399792409693644, 0.0), # 37 (16.425236149607162, 15.801750983081849, 13.748086877000459, 14.77911141975309, 11.942259430445535, 5.833333333333334, 6.4721148067457435, 5.901699588477367, 6.433605102880659, 3.0830683493369926, 2.22353837968159, 1.2886338058222835, 0.0, 16.2, 14.174971864045116, 11.11769189840795, 9.249205048010975, 12.867210205761317, 8.262379423868314, 6.4721148067457435, 4.166666666666667, 5.971129715222768, 4.926370473251031, 2.7496173754000917, 1.4365228166438047, 0.0), # 38 (16.436711349859177, 15.761967901234568, 13.737728395061731, 14.770341666666667, 11.94608119124235, 5.833333333333334, 6.456803485838781, 5.8708888888888895, 6.42956, 3.0751293827160504, 2.2223061728395064, 1.2872526748971194, 0.0, 16.2, 14.159779423868311, 11.111530864197531, 9.225388148148149, 12.85912, 8.219244444444445, 6.456803485838781, 4.166666666666667, 5.973040595621175, 4.923447222222223, 2.7475456790123465, 1.4329061728395065, 0.0), # 39 (16.44780867824346, 15.720518975765888, 13.726909007773205, 14.761149691358025, 11.949773907922687, 5.833333333333334, 6.440857742273865, 5.838991769547327, 6.425329218106996, 3.0668770004572488, 2.2210105166895295, 1.2858100899253166, 0.0, 16.2, 14.143910989178481, 11.105052583447646, 9.200631001371743, 12.850658436213992, 8.174588477366258, 6.440857742273865, 4.166666666666667, 5.974886953961343, 4.920383230452676, 2.745381801554641, 1.42913808870599, 0.0), # 40 (16.458526861437004, 15.677500777320528, 13.71565066300869, 14.751550308641978, 11.953337384699417, 5.833333333333334, 6.424315532962156, 5.806106995884774, 6.420920658436214, 3.05833271147691, 2.2196530074406624, 1.2843089772900476, 0.0, 16.2, 14.12739875019052, 11.09826503720331, 9.174998134430727, 12.841841316872427, 8.128549794238685, 6.424315532962156, 4.166666666666667, 5.976668692349708, 4.9171834362139935, 2.743130132601738, 1.4252273433927756, 0.0), # 41 (16.4688646261168, 15.633009876543213, 13.70397530864198, 14.741558333333336, 11.956771425785394, 5.833333333333334, 6.4072148148148145, 5.772333333333334, 6.416342222222223, 3.049518024691359, 2.2182352413019086, 1.282752263374486, 0.0, 16.2, 14.110274897119341, 11.091176206509541, 9.148554074074074, 12.832684444444446, 8.081266666666668, 6.4072148148148145, 4.166666666666667, 5.978385712892697, 4.913852777777779, 2.740795061728396, 1.421182716049383, 0.0), # 42 (16.47882069895983, 15.587142844078647, 13.69190489254687, 14.731188580246915, 11.960075835393496, 5.833333333333334, 6.389593544743001, 5.737769547325104, 6.4116018106995885, 3.040454449016919, 2.2167588144822714, 1.281142874561805, 0.0, 16.2, 14.092571620179852, 11.083794072411356, 9.121363347050755, 12.823203621399177, 8.032877366255146, 6.389593544743001, 4.166666666666667, 5.980037917696748, 4.9103961934156395, 2.738380978509374, 1.4170129858253318, 0.0), # 43 (16.488393806643085, 15.539996250571559, 13.679461362597166, 14.720455864197532, 11.963250417736582, 5.833333333333334, 6.371489679657872, 5.702514403292183, 6.4067073251028805, 3.031163493369914, 2.2152253231907557, 1.279483737235178, 0.0, 16.2, 14.074321109586954, 11.076126615953777, 9.09349048010974, 12.813414650205761, 7.983520164609057, 6.371489679657872, 4.166666666666667, 5.981625208868291, 4.906818621399179, 2.7358922725194335, 1.4127269318701419, 0.0), # 44 (16.497582675843546, 15.491666666666667, 13.66666666666667, 14.709375000000001, 11.966294977027516, 5.833333333333334, 6.352941176470589, 5.666666666666668, 6.4016666666666655, 3.021666666666668, 2.213636363636364, 1.277777777777778, 0.0, 16.2, 14.055555555555554, 11.068181818181818, 9.065000000000001, 12.803333333333331, 7.9333333333333345, 6.352941176470589, 4.166666666666667, 5.983147488513758, 4.903125000000001, 2.733333333333334, 1.4083333333333337, 0.0), # 45 (16.50638603323821, 15.442250663008686, 13.653542752629173, 14.697960802469137, 11.969209317479164, 5.833333333333334, 6.333985992092311, 5.63032510288066, 6.396487736625514, 3.0119854778235036, 2.2119935320281, 1.2760279225727789, 0.0, 16.2, 14.036307148300564, 11.059967660140499, 9.035956433470508, 12.792975473251028, 7.882455144032924, 6.333985992092311, 4.166666666666667, 5.984604658739582, 4.899320267489713, 2.730708550525835, 1.4038409693644263, 0.0), # 46 (16.514802605504055, 15.391844810242342, 13.640111568358483, 14.686228086419753, 11.971993243304391, 5.833333333333334, 6.3146620834341975, 5.593588477366255, 6.391178436213992, 3.0021414357567453, 2.210298424574968, 1.2742370980033535, 0.0, 16.2, 14.016608078036885, 11.051492122874839, 9.006424307270233, 12.782356872427984, 7.831023868312758, 6.3146620834341975, 4.166666666666667, 5.985996621652196, 4.895409362139919, 2.728022313671697, 1.3992586191129404, 0.0), # 47 (16.522831119318074, 15.340545679012347, 13.626395061728397, 14.674191666666669, 11.974646558716064, 5.833333333333334, 6.295007407407407, 5.556555555555557, 6.385746666666667, 2.9921560493827166, 2.208552637485971, 1.272408230452675, 0.0, 16.2, 13.996490534979422, 11.042763187429854, 8.976468148148149, 12.771493333333334, 7.77917777777778, 6.295007407407407, 4.166666666666667, 5.987323279358032, 4.891397222222224, 2.7252790123456796, 1.3945950617283953, 0.0), # 48 (16.53047030135726, 15.288449839963418, 13.612415180612713, 14.661866358024692, 11.977169067927047, 5.833333333333334, 6.275059920923102, 5.519325102880659, 6.380200329218106, 2.982050827617742, 2.2067577669701133, 1.2705442463039174, 0.0, 16.2, 13.97598670934309, 11.033788834850565, 8.946152482853226, 12.760400658436213, 7.727055144032923, 6.275059920923102, 4.166666666666667, 5.9885845339635235, 4.887288786008232, 2.7224830361225427, 1.389859076360311, 0.0), # 49 (16.537718878298588, 15.235653863740286, 13.598193872885233, 14.649266975308642, 11.979560575150202, 5.833333333333334, 6.25485758089244, 5.481995884773663, 6.3745473251028795, 2.971847279378144, 2.204915409236397, 1.2686480719402533, 0.0, 16.2, 13.955128791342785, 11.024577046181985, 8.91554183813443, 12.749094650205759, 7.674794238683129, 6.25485758089244, 4.166666666666667, 5.989780287575101, 4.883088991769548, 2.7196387745770467, 1.385059442158208, 0.0), # 50 (16.544575576819057, 15.182254320987655, 13.583753086419755, 14.636408333333335, 11.981820884598399, 5.833333333333334, 6.23443834422658, 5.4446666666666665, 6.368795555555556, 2.9615669135802474, 2.2030271604938276, 1.2667226337448563, 0.0, 16.2, 13.933948971193416, 11.015135802469137, 8.88470074074074, 12.737591111111112, 7.622533333333334, 6.23443834422658, 4.166666666666667, 5.9909104422991994, 4.878802777777779, 2.716750617283951, 1.380204938271605, 0.0), # 51 (16.551039123595647, 15.128347782350252, 13.56911476909008, 14.623305246913581, 11.983949800484496, 5.833333333333334, 6.213840167836683, 5.407436213991769, 6.3629529218107, 2.9512312391403754, 2.2010946169514076, 1.2647708581008996, 0.0, 16.2, 13.912479439109894, 11.005473084757037, 8.853693717421125, 12.7259058436214, 7.570410699588477, 6.213840167836683, 4.166666666666667, 5.991974900242248, 4.874435082304528, 2.713822953818016, 1.3753043438500232, 0.0), # 52 (16.55710824530535, 15.074030818472796, 13.554300868770008, 14.609972530864198, 11.985947127021364, 5.833333333333334, 6.1931010086339064, 5.370403292181071, 6.357027325102881, 2.940861764974852, 2.1991193748181406, 1.2627956713915565, 0.0, 16.2, 13.890752385307119, 10.995596874090701, 8.822585294924554, 12.714054650205762, 7.518564609053499, 6.1931010086339064, 4.166666666666667, 5.992973563510682, 4.8699908436214, 2.710860173754002, 1.3703664380429816, 0.0), # 53 (16.562781668625146, 15.019400000000001, 13.539333333333333, 14.596425, 11.987812668421869, 5.833333333333334, 6.172258823529412, 5.333666666666667, 6.351026666666667, 2.9304800000000006, 2.19710303030303, 1.2608000000000001, 0.0, 16.2, 13.8688, 10.98551515151515, 8.791440000000001, 12.702053333333334, 7.467133333333333, 6.172258823529412, 4.166666666666667, 5.993906334210934, 4.865475000000001, 2.707866666666667, 1.3654000000000004, 0.0), # 54 (16.568058120232035, 14.964551897576587, 13.524234110653865, 14.582677469135803, 11.989546228898869, 5.833333333333334, 6.151351569434358, 5.2973251028806585, 6.344958847736625, 2.9201074531321454, 2.1950471796150812, 1.2587867703094042, 0.0, 16.2, 13.846654473403445, 10.975235898075404, 8.760322359396435, 12.68991769547325, 7.416255144032922, 6.151351569434358, 4.166666666666667, 5.994773114449434, 4.860892489711935, 2.704846822130773, 1.360413808870599, 0.0), # 55 (16.572936326802996, 14.909583081847279, 13.509025148605396, 14.56874475308642, 11.991147612665237, 5.833333333333334, 6.130417203259905, 5.261477366255145, 6.338831769547324, 2.9097656332876096, 2.1929534189632958, 1.2567589087029418, 0.0, 16.2, 13.824347995732358, 10.964767094816478, 8.729296899862828, 12.677663539094649, 7.366068312757203, 6.130417203259905, 4.166666666666667, 5.995573806332619, 4.856248251028807, 2.7018050297210796, 1.3554166438042983, 0.0), # 56 (16.577415015015013, 14.85459012345679, 13.493728395061732, 14.554641666666669, 11.99261662393383, 5.833333333333334, 6.109493681917211, 5.226222222222224, 6.332653333333334, 2.899476049382717, 2.1908233445566783, 1.254719341563786, 0.0, 16.2, 13.801912757201645, 10.95411672278339, 8.69842814814815, 12.665306666666668, 7.316711111111113, 6.109493681917211, 4.166666666666667, 5.996308311966915, 4.851547222222224, 2.6987456790123465, 1.3504172839506174, 0.0), # 57 (16.581492911545087, 14.79966959304984, 13.478365797896664, 14.540383024691359, 11.99395306691752, 5.833333333333334, 6.088618962317438, 5.191658436213992, 6.326431440329218, 2.8892602103337914, 2.1886585526042324, 1.2526709952751107, 0.0, 16.2, 13.779380948026215, 10.943292763021162, 8.667780631001373, 12.652862880658436, 7.2683218106995895, 6.088618962317438, 4.166666666666667, 5.99697653345876, 4.846794341563787, 2.695673159579333, 1.3454245084590766, 0.0), # 58 (16.585168743070195, 14.744918061271147, 13.462959304983997, 14.525983641975309, 11.995156745829167, 5.833333333333334, 6.067831001371743, 5.157884773662552, 6.320173991769548, 2.879139625057157, 2.1864606393149604, 1.2506167962200887, 0.0, 16.2, 13.756784758420972, 10.9323031965748, 8.63741887517147, 12.640347983539096, 7.221038683127573, 6.067831001371743, 4.166666666666667, 5.9975783729145835, 4.841994547325104, 2.6925918609968, 1.3404470964791952, 0.0), # 59 (16.588441236267325, 14.690432098765434, 13.44753086419753, 14.511458333333334, 11.996227464881638, 5.833333333333334, 6.0471677559912855, 5.125000000000001, 6.31388888888889, 2.8691358024691365, 2.184231200897868, 1.2485596707818931, 0.0, 16.2, 13.734156378600822, 10.921156004489339, 8.607407407407408, 12.62777777777778, 7.175000000000001, 6.0471677559912855, 4.166666666666667, 5.998113732440819, 4.837152777777779, 2.6895061728395064, 1.3354938271604941, 0.0), # 60 (16.591309117813463, 14.636308276177413, 13.432102423411067, 14.496821913580249, 11.997165028287798, 5.833333333333334, 6.026667183087227, 5.093102880658437, 6.3075840329218105, 2.8592702514860546, 2.1819718335619576, 1.246502545343698, 0.0, 16.2, 13.711527998780674, 10.909859167809786, 8.577810754458163, 12.615168065843621, 7.130344032921811, 6.026667183087227, 4.166666666666667, 5.998582514143899, 4.832273971193417, 2.6864204846822135, 1.3305734796524924, 0.0), # 61 (16.593771114385607, 14.582643164151806, 13.416695930498403, 14.482089197530867, 11.997969240260517, 5.833333333333334, 6.006367239570725, 5.062292181069959, 6.301267325102881, 2.849564481024235, 2.1796841335162327, 1.2444483462886757, 0.0, 16.2, 13.68893180917543, 10.898420667581162, 8.548693443072704, 12.602534650205762, 7.0872090534979435, 6.006367239570725, 4.166666666666667, 5.998984620130258, 4.827363065843623, 2.6833391860996807, 1.3256948331047098, 0.0), # 62 (16.595825952660736, 14.529533333333333, 13.401333333333335, 14.467275000000003, 11.998639905012647, 5.833333333333334, 5.986305882352941, 5.0326666666666675, 6.294946666666666, 2.8400400000000006, 2.1773696969696976, 1.2424000000000002, 0.0, 16.2, 13.6664, 10.886848484848487, 8.52012, 12.589893333333332, 7.045733333333335, 5.986305882352941, 4.166666666666667, 5.999319952506323, 4.822425000000002, 2.6802666666666672, 1.3208666666666669, 0.0), # 63 (16.597472359315837, 14.477075354366713, 13.386036579789668, 14.452394135802471, 11.999176826757065, 5.833333333333334, 5.966521068345034, 5.004325102880659, 6.288629958847737, 2.830718317329676, 2.1750301201313547, 1.2403604328608446, 0.0, 16.2, 13.64396476146929, 10.875150600656774, 8.492154951989026, 12.577259917695473, 7.006055144032923, 5.966521068345034, 4.166666666666667, 5.999588413378532, 4.817464711934158, 2.6772073159579337, 1.316097759487883, 0.0), # 64 (16.5987090610279, 14.425365797896662, 13.370827617741199, 14.437461419753088, 11.999579809706631, 5.833333333333334, 5.947050754458163, 4.977366255144033, 6.282325102880659, 2.8216209419295843, 2.1726669992102097, 1.238332571254382, 0.0, 16.2, 13.6216582837982, 10.863334996051048, 8.464862825788751, 12.564650205761318, 6.968312757201646, 5.947050754458163, 4.166666666666667, 5.999789904853316, 4.812487139917697, 2.67416552354824, 1.3113968907178786, 0.0), # 65 (16.599534784473914, 14.374501234567903, 13.35572839506173, 14.422491666666668, 11.99984865807421, 5.833333333333334, 5.927932897603486, 4.95188888888889, 6.27604, 2.81276938271605, 2.170281930415264, 1.2363193415637863, 0.0, 16.2, 13.599512757201648, 10.851409652076319, 8.438308148148149, 12.55208, 6.932644444444446, 5.927932897603486, 4.166666666666667, 5.999924329037105, 4.807497222222223, 2.6711456790123465, 1.3067728395061733, 0.0), # 66 (16.59994825633087, 14.324578235025148, 13.340760859625059, 14.407499691358025, 11.999983176072671, 5.833333333333334, 5.909205454692165, 4.927991769547327, 6.269782551440329, 2.8041851486053964, 2.1678765099555233, 1.23432367017223, 0.0, 16.2, 13.577560371894528, 10.839382549777614, 8.412555445816189, 12.539565102880658, 6.899188477366257, 5.909205454692165, 4.166666666666667, 5.999991588036336, 4.802499897119342, 2.6681521719250116, 1.3022343850022864, 0.0), # 67 (16.59966658316932, 14.275431337669806, 13.325874599908552, 14.39237008856683, 11.999869818983834, 5.833225077478026, 5.890812155863717, 4.905562566681908, 6.263513519280598, 2.795848176658867, 2.1654095969441007, 1.2323373362532992, 0.0, 16.19980024005487, 13.555710698786289, 10.827047984720503, 8.3875445299766, 12.527027038561195, 6.867787593354672, 5.890812155863717, 4.166589341055733, 5.999934909491917, 4.797456696188944, 2.6651749199817103, 1.29776648524271, 0.0), # 68 (16.597026731078905, 14.22556009557945, 13.310651234567901, 14.376340217391304, 11.998838053740013, 5.832369272976682, 5.872214545077291, 4.8833991769547325, 6.256958847736625, 2.7875225562817723, 2.162630090377459, 1.2302958631145768, 0.0, 16.198217592592595, 13.533254494260342, 10.813150451887294, 8.362567668845315, 12.51391769547325, 6.8367588477366255, 5.872214545077291, 4.165978052126201, 5.999419026870006, 4.792113405797102, 2.66213024691358, 1.2932327359617684, 0.0), # 69 (16.59181726009423, 14.174735607770254, 13.295024577046181, 14.359304549114333, 11.996799268404205, 5.8306838388457045, 5.853328107649096, 4.861301630848957, 6.2500815424477985, 2.7791678097850943, 2.159506369740288, 1.228189701505708, 0.0, 16.195091735253776, 13.510086716562785, 10.797531848701441, 8.337503429355282, 12.500163084895597, 6.80582228318854, 5.853328107649096, 4.164774170604074, 5.998399634202102, 4.786434849704778, 2.6590049154092363, 1.2886123279791142, 0.0), # 70 (16.584111457028687, 14.122988247267578, 13.279000114311843, 14.341288204508857, 11.993779284004411, 5.828196087994717, 5.8341613276311906, 4.8392772443225125, 6.242891845755221, 2.7707841437370564, 2.1560499655423633, 1.226020391628362, 0.0, 16.190463820301783, 13.486224307911982, 10.780249827711817, 8.312352431211167, 12.485783691510441, 6.774988142051518, 5.8341613276311906, 4.162997205710512, 5.9968896420022055, 4.780429401502953, 2.6558000228623686, 1.2839080224788708, 0.0), # 71 (16.573982608695655, 14.070348387096773, 13.262583333333334, 14.322316304347826, 11.989803921568626, 5.824933333333335, 5.81472268907563, 4.817333333333334, 6.2354, 2.762371764705883, 2.1522724082934617, 1.2237894736842108, 0.0, 16.184375, 13.461684210526316, 10.761362041467306, 8.287115294117648, 12.4708, 6.744266666666667, 5.81472268907563, 4.160666666666668, 5.994901960784313, 4.7741054347826095, 2.6525166666666666, 1.2791225806451614, 0.0), # 72 (16.561504001908514, 14.016846400283198, 13.245779721079103, 14.302413969404189, 11.984899002124855, 5.820922887771173, 5.795020676034474, 4.795477213839354, 6.227616247523244, 2.753930879259798, 2.1481852285033574, 1.2214984878749227, 0.0, 16.1768664266118, 13.436483366624147, 10.740926142516786, 8.261792637779392, 12.455232495046488, 6.713668099375096, 5.795020676034474, 4.157802062693695, 5.992449501062428, 4.76747132313473, 2.649155944215821, 1.274258763662109, 0.0), # 73 (16.546748923480646, 13.962512659852205, 13.228594764517604, 14.281606320450884, 11.979090346701094, 5.816192064217854, 5.775063772559778, 4.773716201798507, 6.219550830666057, 2.7454616939670253, 2.143799956681829, 1.219148974402169, 0.0, 16.167979252400553, 13.410638718423858, 10.718999783409142, 8.236385081901075, 12.439101661332113, 6.683202682517909, 5.775063772559778, 4.154422903012753, 5.989545173350547, 4.760535440150296, 2.645718952903521, 1.269319332713837, 0.0), # 74 (16.52979066022544, 13.90737753882915, 13.211033950617283, 14.259918478260868, 11.972403776325345, 5.810768175582992, 5.754860462703601, 4.752057613168724, 6.211213991769547, 2.7369644153957884, 2.13912812333865, 1.2167424734676198, 0.0, 16.157754629629633, 13.384167208143815, 10.695640616693249, 8.210893246187364, 12.422427983539094, 6.652880658436215, 5.754860462703601, 4.150548696844995, 5.986201888162673, 4.7533061594202906, 2.6422067901234567, 1.2643070489844683, 0.0), # 75 (16.510702498956285, 13.851471410239393, 13.193102766346595, 14.237375563607085, 11.964865112025606, 5.804678534776205, 5.734419230517997, 4.730508763907942, 6.2026159731748205, 2.728439250114312, 2.134181258983598, 1.2142805252729445, 0.0, 16.146233710562413, 13.357085778002387, 10.67090629491799, 8.185317750342936, 12.405231946349641, 6.622712269471118, 5.734419230517997, 4.146198953411575, 5.982432556012803, 4.745791854535696, 2.638620553269319, 1.259224673658127, 0.0), # 76 (16.48955772648655, 13.794824647108282, 13.174806698673981, 14.21400269726248, 11.956500174829877, 5.797950454707109, 5.7137485600550235, 4.70907696997409, 6.193767017222985, 2.7198864046908207, 2.1289708941264505, 1.2117646700198144, 0.0, 16.13345764746228, 13.329411370217956, 10.64485447063225, 8.15965921407246, 12.38753403444597, 6.592707757963726, 5.7137485600550235, 4.141393181933649, 5.9782500874149385, 4.738000899087494, 2.6349613397347964, 1.254074967918935, 0.0), # 77 (16.46642962962963, 13.737467622461173, 13.156151234567902, 14.189825, 11.94733478576616, 5.790611248285322, 5.69285693536674, 4.687769547325104, 6.184677366255142, 2.711306085693537, 2.123508559276981, 1.2091964479098987, 0.0, 16.119467592592596, 13.301160927008882, 10.617542796384903, 8.13391825708061, 12.369354732510285, 6.562877366255145, 5.69285693536674, 4.136150891632373, 5.97366739288308, 4.729941666666668, 2.6312302469135807, 1.248860692951016, 0.0), # 78 (16.441391495198904, 13.679430709323423, 13.1371418609968, 14.164867592592593, 11.93739476586245, 5.782688228420464, 5.671752840505201, 4.666593811918916, 6.1753572626124065, 2.702698499690686, 2.117805784944966, 1.2065773991448674, 0.0, 16.104304698216733, 13.27235139059354, 10.58902892472483, 8.108095499072057, 12.350714525224813, 6.533231336686482, 5.671752840505201, 4.130491591728903, 5.968697382931225, 4.721622530864199, 2.6274283721993603, 1.243584609938493, 0.0), # 79 (16.414516610007755, 13.620744280720386, 13.117784064929126, 14.139155595813204, 11.92670593614675, 5.774208708022151, 5.650444759522465, 4.645557079713459, 6.165816948635879, 2.694063853250491, 2.111874101640184, 1.2039090639263914, 0.0, 16.08801011659808, 13.242999703190304, 10.559370508200919, 8.082191559751472, 12.331633897271757, 6.503779911598843, 5.650444759522465, 4.1244347914443935, 5.963352968073375, 4.713051865271069, 2.6235568129858255, 1.23824948006549, 0.0), # 80 (16.385878260869568, 13.56143870967742, 13.098083333333335, 14.112714130434785, 11.915294117647058, 5.765200000000001, 5.628941176470589, 4.624666666666667, 6.156066666666666, 2.685402352941177, 2.1057250398724086, 1.2011929824561405, 0.0, 16.070625, 13.213122807017545, 10.528625199362043, 8.05620705882353, 12.312133333333332, 6.474533333333334, 5.628941176470589, 4.118, 5.957647058823529, 4.704238043478263, 2.619616666666667, 1.2328580645161293, 0.0), # 81 (16.355549734597723, 13.501544369219879, 13.078045153177872, 14.085568317230274, 11.903185131391377, 5.75568941726363, 5.607250575401629, 4.603929888736474, 6.146116659045877, 2.676714205330967, 2.099370130151417, 1.198430694935785, 0.0, 16.052190500685874, 13.182737644293633, 10.496850650757084, 8.030142615992899, 12.292233318091753, 6.445501844231063, 5.607250575401629, 4.111206726616879, 5.951592565695688, 4.695189439076759, 2.6156090306355746, 1.2274131244745345, 0.0), # 82 (16.323604318005607, 13.441091632373114, 13.057675011431185, 14.057743276972625, 11.890404798407703, 5.745704272722655, 5.585381440367643, 4.5833540618808115, 6.135977168114616, 2.667999616988085, 2.0928209029869853, 1.195623741566995, 0.0, 16.03274777091907, 13.151861157236944, 10.464104514934926, 8.003998850964255, 12.271954336229232, 6.416695686633136, 5.585381440367643, 4.104074480516182, 5.945202399203851, 4.6859144256575425, 2.6115350022862374, 1.2219174211248287, 0.0), # 83 (16.290115297906603, 13.380110872162485, 13.036978395061729, 14.029264130434784, 11.876978939724037, 5.735271879286694, 5.563342255420687, 4.562946502057613, 6.125658436213991, 2.659258794480756, 2.0860888888888893, 1.1927736625514405, 0.0, 16.012337962962963, 13.120510288065844, 10.430444444444445, 7.977776383442267, 12.251316872427982, 6.388125102880658, 5.563342255420687, 4.096622770919067, 5.938489469862018, 4.676421376811596, 2.607395679012346, 1.2163737156511352, 0.0), # 84 (16.255155961114095, 13.318632461613346, 13.015960791037951, 14.000155998389694, 11.862933376368382, 5.724419549865368, 5.54114150461282, 4.542714525224815, 6.115170705685108, 2.650491944377203, 2.0791856183669055, 1.1898819980907918, 0.0, 15.991002229080934, 13.088701978998708, 10.395928091834525, 7.951475833131607, 12.230341411370215, 6.35980033531474, 5.54114150461282, 4.088871107046691, 5.931466688184191, 4.666718666129899, 2.6031921582075905, 1.210784769237577, 0.0), # 85 (16.21879959444146, 13.256686773751051, 12.994627686328306, 13.970444001610309, 11.84829392936873, 5.713174597368289, 5.518787671996097, 4.522665447340345, 6.104524218869075, 2.64169927324565, 2.0721226219308098, 1.1869502883867193, 0.0, 15.968781721536352, 13.05645317225391, 10.360613109654047, 7.9250978197369495, 12.20904843773815, 6.331731626276483, 5.518787671996097, 4.080838998120206, 5.924146964684365, 4.656814667203437, 2.5989255372656612, 1.2051533430682777, 0.0), # 86 (16.18111948470209, 13.194304181600955, 12.972984567901234, 13.940153260869565, 11.833086419753089, 5.7015643347050755, 5.496289241622575, 4.5028065843621405, 6.093729218106997, 2.6328809876543215, 2.0649114300903775, 1.1839800736408925, 0.0, 15.945717592592594, 13.023780810049816, 10.324557150451888, 7.898642962962963, 12.187458436213994, 6.303929218106997, 5.496289241622575, 4.072545953360768, 5.9165432098765445, 4.646717753623189, 2.594596913580247, 1.1994821983273598, 0.0), # 87 (16.142188918709373, 13.131515058188414, 12.951036922725194, 13.90930889694042, 11.817336668549451, 5.689616074785349, 5.473654697544313, 4.483145252248133, 6.082795945739979, 2.624037294171441, 2.0575635733553868, 1.1809728940549822, 0.0, 15.921850994513035, 12.990701834604803, 10.287817866776932, 7.8721118825143215, 12.165591891479957, 6.276403353147386, 5.473654697544313, 4.064011481989534, 5.908668334274726, 4.636436298980141, 2.5902073845450393, 1.193774096198947, 0.0), # 88 (16.102081183276677, 13.068349776538785, 12.928790237768634, 13.877936030595814, 11.80107049678582, 5.677357130518723, 5.4508925238133665, 4.463688766956257, 6.07173464410913, 2.6151683993652335, 2.050090582235612, 1.1779302898306583, 0.0, 15.897223079561043, 12.957233188137238, 10.250452911178058, 7.845505198095699, 12.14346928821826, 6.24916427373876, 5.4508925238133665, 4.055255093227659, 5.90053524839291, 4.625978676865272, 2.585758047553727, 1.1880317978671624, 0.0), # 89 (16.06086956521739, 13.004838709677419, 12.906250000000002, 13.846059782608698, 11.784313725490197, 5.664814814814815, 5.428011204481793, 4.444444444444445, 6.060555555555556, 2.606274509803922, 2.04250398724083, 1.1748538011695908, 0.0, 15.871875000000001, 12.923391812865496, 10.212519936204147, 7.818823529411765, 12.121111111111112, 6.222222222222222, 5.428011204481793, 4.046296296296297, 5.892156862745098, 4.615353260869567, 2.5812500000000003, 1.1822580645161291, 0.0), # 90 (16.0186273513449, 12.941012230629672, 12.883421696387746, 13.813705273752014, 11.767092175690575, 5.652016440583244, 5.405019223601649, 4.4254196006706294, 6.049268922420364, 2.597355832055731, 2.0348153188808165, 1.17174496827345, 0.0, 15.845847908093276, 12.889194651007948, 10.174076594404081, 7.792067496167191, 12.098537844840727, 6.195587440938882, 5.405019223601649, 4.037154600416603, 5.883546087845287, 4.604568424584006, 2.5766843392775494, 1.1764556573299705, 0.0), # 91 (15.975427828472597, 12.876900712420905, 12.86031081390032, 13.780897624798712, 11.749431668414964, 5.638989320733629, 5.381925065224994, 4.406621551592746, 6.037884987044658, 2.5884125726888843, 2.027036107665348, 1.1686053313439067, 0.0, 15.819182956104251, 12.85465864478297, 10.135180538326738, 7.765237718066651, 12.075769974089315, 6.169270172229845, 5.381925065224994, 4.027849514809735, 5.874715834207482, 4.593632541599572, 2.5720621627800644, 1.1706273374928098, 0.0), # 92 (15.931344283413848, 12.812534528076466, 12.836922839506174, 13.747661956521743, 11.731358024691357, 5.625760768175583, 5.358737213403881, 4.388057613168725, 6.026413991769548, 2.5794449382716054, 2.0191778841042, 1.1654364305826295, 0.0, 15.791921296296294, 12.819800736408922, 10.095889420521, 7.738334814814815, 12.052827983539096, 6.143280658436215, 5.358737213403881, 4.018400548696845, 5.865679012345678, 4.582553985507248, 2.567384567901235, 1.1647758661887697, 0.0), # 93 (15.886450002982048, 12.74794405062171, 12.813263260173755, 13.714023389694043, 11.712897065547754, 5.612358095818728, 5.335464152190369, 4.369735101356501, 6.014866178936138, 2.5704531353721194, 2.01125217870715, 1.16223980619129, 0.0, 15.764104080932785, 12.784637868104188, 10.056260893535747, 7.711359406116356, 12.029732357872277, 6.117629141899102, 5.335464152190369, 4.008827211299091, 5.856448532773877, 4.571341129898015, 2.5626526520347515, 1.1589040046019738, 0.0), # 94 (15.840818273990577, 12.683159653081995, 12.789337562871514, 13.680007045088567, 11.694074612012159, 5.598808616572678, 5.312114365636515, 4.351661332114007, 6.003251790885536, 2.561437370558649, 2.0032705219839726, 1.1590169983715575, 0.0, 15.735772462277092, 12.749186982087132, 10.016352609919863, 7.684312111675945, 12.006503581771073, 6.09232586495961, 5.312114365636515, 3.999149011837627, 5.847037306006079, 4.560002348362857, 2.5578675125743033, 1.1530145139165453, 0.0), # 95 (15.79452238325282, 12.61821170848268, 12.765151234567902, 13.645638043478261, 11.674916485112563, 5.585139643347051, 5.288696337794377, 4.333843621399177, 5.991581069958848, 2.55239785039942, 1.9952444444444448, 1.1557695473251033, 0.0, 15.706967592592594, 12.713465020576134, 9.976222222222225, 7.657193551198258, 11.983162139917695, 6.067381069958849, 5.288696337794377, 3.9893854595336076, 5.8374582425562815, 4.5485460144927545, 2.553030246913581, 1.1471101553166074, 0.0), # 96 (15.747635617582157, 12.553130589849111, 12.740709762231369, 13.61094150563607, 11.655448505876976, 5.571378489051465, 5.265218552716011, 4.316289285169945, 5.979864258497181, 2.5433347814626543, 1.9871854765983423, 1.152498993253596, 0.0, 15.677730624142663, 12.677488925789556, 9.93592738299171, 7.630004344387961, 11.959728516994362, 6.042804999237923, 5.265218552716011, 3.9795560636081895, 5.827724252938488, 4.536980501878691, 2.5481419524462736, 1.141193689986283, 0.0), # 97 (15.700231263791975, 12.487946670206647, 12.71601863283036, 13.575942552334945, 11.635696495333388, 5.557552466595541, 5.241689494453475, 4.299005639384241, 5.968111598841639, 2.5342483703165772, 1.9791051489554419, 1.1492068763587067, 0.0, 15.648102709190674, 12.64127563994577, 9.89552574477721, 7.60274511094973, 11.936223197683278, 6.018607895137937, 5.241689494453475, 3.969680333282529, 5.817848247666694, 4.525314184111649, 2.5432037265660723, 1.1352678791096953, 0.0), # 98 (15.652382608695653, 12.422690322580646, 12.691083333333335, 13.540666304347827, 11.615686274509805, 5.543688888888889, 5.218117647058825, 4.282000000000001, 5.956333333333333, 2.5251388235294123, 1.9710149920255189, 1.1458947368421055, 0.0, 15.618125000000001, 12.604842105263158, 9.855074960127594, 7.575416470588236, 11.912666666666667, 5.9948000000000015, 5.218117647058825, 3.9597777777777776, 5.807843137254903, 4.51355543478261, 2.5382166666666675, 1.129335483870968, 0.0), # 99 (15.60416293910658, 12.357391919996457, 12.665909350708734, 13.505137882447666, 11.595443664434223, 5.529815068841132, 5.194511494584116, 4.265279682975157, 5.944539704313367, 2.516006347669384, 1.9629265363183495, 1.1425641149054624, 0.0, 15.58783864883402, 12.568205263960085, 9.814632681591746, 7.54801904300815, 11.889079408626735, 5.97139155616522, 5.194511494584116, 3.9498679063150943, 5.797721832217111, 4.501712627482556, 2.533181870141747, 1.1233992654542237, 0.0), # 100 (15.555645541838135, 12.292081835479447, 12.640502171925013, 13.469382407407409, 11.574994486134646, 5.515958319361886, 5.17087952108141, 4.248852004267642, 5.932740954122847, 2.506851149304716, 1.9548513123437101, 1.1392165507504473, 0.0, 15.557284807956103, 12.531382058254918, 9.77425656171855, 7.520553447914146, 11.865481908245695, 5.948392805974699, 5.17087952108141, 3.9399702281156324, 5.787497243067323, 4.48979413580247, 2.528100434385003, 1.1174619850435863, 0.0), # 101 (15.506903703703706, 12.22679044205496, 12.614867283950618, 13.433425000000002, 11.554364560639069, 5.5021459533607695, 5.1472302106027605, 4.2327242798353915, 5.920947325102881, 2.497673435003632, 1.9468008506113774, 1.135853584578731, 0.0, 15.526504629629631, 12.49438943036604, 9.734004253056886, 7.493020305010894, 11.841894650205761, 5.925813991769548, 5.1472302106027605, 3.93010425240055, 5.7771822803195345, 4.477808333333335, 2.522973456790124, 1.1115264038231782, 0.0), # 102 (15.458010711516671, 12.161548112748353, 12.589010173754001, 13.397290780998391, 11.533579708975497, 5.488405283747397, 5.123572047200224, 4.2169038256363365, 5.909169059594573, 2.4884734113343563, 1.9387866816311266, 1.132476756591983, 0.0, 15.495539266117968, 12.457244322511812, 9.693933408155633, 7.4654202340030675, 11.818338119189146, 5.903665355890872, 5.123572047200224, 3.920289488390998, 5.766789854487748, 4.465763593666131, 2.5178020347508006, 1.1055952829771232, 0.0), # 103 (15.409039852090416, 12.096385220584981, 12.562936328303612, 13.361004871175524, 11.512665752171923, 5.474763623431389, 5.099913514925861, 4.201397957628411, 5.897416399939034, 2.479251284865113, 1.9308203359127338, 1.129087606991874, 0.0, 15.464429869684501, 12.419963676910612, 9.654101679563668, 7.437753854595337, 11.794832799878067, 5.881957140679775, 5.099913514925861, 3.9105454453081343, 5.756332876085962, 4.4536682903918425, 2.5125872656607227, 1.099671383689544, 0.0), # 104 (15.360064412238325, 12.031332138590201, 12.536651234567902, 13.324592391304346, 11.491648511256354, 5.461248285322361, 5.076263097831727, 4.186213991769549, 5.885699588477366, 2.470007262164126, 1.922913343965976, 1.125687675980074, 0.0, 15.433217592592593, 12.382564435780811, 9.61456671982988, 7.410021786492376, 11.771399176954732, 5.860699588477368, 5.076263097831727, 3.9008916323731144, 5.745824255628177, 4.44153079710145, 2.5073302469135803, 1.093757467144564, 0.0), # 105 (15.311157678773782, 11.96641923978937, 12.510160379515318, 13.28807846215781, 11.470553807256785, 5.44788658232993, 5.052629279969876, 4.1713592440176805, 5.8740288675506775, 2.4607415497996183, 1.9150772363006283, 1.1222785037582528, 0.0, 15.401943587105624, 12.345063541340778, 9.575386181503141, 7.382224649398854, 11.748057735101355, 5.839902941624753, 5.052629279969876, 3.8913475588070923, 5.735276903628392, 4.429359487385938, 2.5020320759030636, 1.0878562945263066, 0.0), # 106 (15.26239293851017, 11.901676897207842, 12.483469250114315, 13.251488204508856, 11.449407461201215, 5.434705827363715, 5.0290205453923695, 4.156841030330743, 5.862414479500076, 2.451454354339816, 1.9073235434264675, 1.1188616305280807, 0.0, 15.370649005486968, 12.307477935808887, 9.536617717132337, 7.354363063019447, 11.724828959000153, 5.819577442463041, 5.0290205453923695, 3.8819327338312255, 5.724703730600607, 4.417162734836286, 2.496693850022863, 1.081970627018895, 0.0), # 107 (15.21384347826087, 11.83713548387097, 12.456583333333336, 13.214846739130437, 11.428235294117645, 5.421733333333335, 5.0054453781512604, 4.142666666666667, 5.850866666666667, 2.442145882352942, 1.8996637958532698, 1.1154385964912283, 0.0, 15.339375000000002, 12.26982456140351, 9.498318979266347, 7.326437647058825, 11.701733333333333, 5.799733333333334, 5.0054453781512604, 3.8726666666666674, 5.714117647058822, 4.40494891304348, 2.4913166666666675, 1.076103225806452, 0.0), # 108 (15.16558258483927, 11.772825372804107, 12.429508116140834, 13.17817918679549, 11.40706312703408, 5.408996413148403, 4.98191226229861, 4.128843468983388, 5.839395671391555, 2.4328163404072196, 1.8921095240908108, 1.112010941849365, 0.0, 15.308162722908094, 12.232120360343014, 9.460547620454054, 7.298449021221657, 11.67879134278311, 5.780380856576743, 4.98191226229861, 3.8635688665345733, 5.70353156351704, 4.392726395598498, 2.485901623228167, 1.0702568520731008, 0.0), # 109 (15.117683545058746, 11.708776937032614, 12.402249085505263, 13.141510668276972, 11.385916780978512, 5.396522379718539, 4.9584296818864715, 4.1153787532388355, 5.828011736015851, 2.423465935070874, 1.8846722586488671, 1.108580206804162, 0.0, 15.277053326474624, 12.194382274845779, 9.423361293244335, 7.27039780521262, 11.656023472031702, 5.76153025453437, 4.9584296818864715, 3.8546588426560997, 5.692958390489256, 4.380503556092325, 2.4804498171010527, 1.0644342670029652, 0.0), # 110 (15.07021964573269, 11.64502054958184, 12.374811728395064, 13.104866304347826, 11.36482207697894, 5.384338545953361, 4.935006120966905, 4.102279835390947, 5.816725102880659, 2.4140948729121283, 1.8773635300372145, 1.1051479315572885, 0.0, 15.246087962962964, 12.156627247130173, 9.386817650186073, 7.242284618736384, 11.633450205761317, 5.743191769547326, 4.935006120966905, 3.845956104252401, 5.68241103848947, 4.368288768115943, 2.474962345679013, 1.0586382317801675, 0.0), # 111 (15.02326417367448, 11.581586583477144, 12.347201531778696, 13.068271215781, 11.34380483606337, 5.372472224762486, 4.911650063591967, 4.089554031397653, 5.805546014327083, 2.404703360499207, 1.8701948687656293, 1.101715656310415, 0.0, 15.215307784636488, 12.118872219414563, 9.350974343828147, 7.214110081497619, 11.611092028654166, 5.725375643956714, 4.911650063591967, 3.837480160544633, 5.671902418031685, 4.356090405260334, 2.469440306355739, 1.0528715075888313, 0.0), # 112 (14.976806757924871, 11.51861130755273, 12.319490437669426, 13.031800658990448, 11.322854058851952, 5.3609451179335466, 4.888420770925416, 4.077235045853738, 5.794513499337931, 2.3953218946450923, 1.8631797083074313, 1.098292391533924, 0.0, 15.184710241349155, 12.081216306873161, 9.315898541537155, 7.185965683935276, 11.589026998675863, 5.708129064195233, 4.888420770925416, 3.829246512809676, 5.661427029425976, 4.343933552996817, 2.4638980875338854, 1.0471464825047938, 0.0), # 113 (14.930369436640104, 11.456715869170786, 12.292060900028826, 12.995747305532802, 11.301752911537415, 5.349730967961242, 4.865614566728464, 4.065474173003413, 5.783796819046966, 2.3861260671651134, 1.8563318232301862, 1.094921622948397, 0.0, 15.154040662656056, 12.044137852432362, 9.28165911615093, 7.1583782014953385, 11.567593638093932, 5.691663842204779, 4.865614566728464, 3.821236405686601, 5.6508764557687075, 4.331915768510935, 2.4584121800057654, 1.0415196244700715, 0.0), # 114 (14.883815844806392, 11.395922558068468, 12.264929243609757, 12.960101406218136, 11.280434856414509, 5.338800611665514, 4.84324772015325, 4.054268436185806, 5.773399988623354, 2.3771301311952313, 1.8496412030472253, 1.091605011007847, 0.0, 15.123210610656603, 12.007655121086316, 9.248206015236125, 7.131390393585693, 11.546799977246708, 5.675975810660129, 4.84324772015325, 3.8134290083325095, 5.640217428207254, 4.320033802072713, 2.452985848721952, 1.0359929598244064, 0.0), # 115 (14.837087797180216, 11.336142812561162, 12.238042919978499, 12.924799380319683, 11.25886776147603, 5.328128285467958, 4.821283854022315, 4.043586875265996, 5.763296714254843, 2.3683173433798195, 1.8430949150057288, 1.0883364263316462, 0.0, 15.092171615609425, 11.971700689648106, 9.215474575028642, 7.104952030139457, 11.526593428509686, 5.661021625372395, 4.821283854022315, 3.8058059181913984, 5.629433880738015, 4.308266460106562, 2.4476085839957, 1.0305584375055605, 0.0), # 116 (14.790127108518035, 11.277288070964257, 12.211349380701316, 12.88977764711069, 11.237019494714783, 5.317688225790165, 4.799686591158202, 4.033398530109057, 5.753460702129175, 2.359670960363252, 1.8366800263528757, 1.085109739539167, 0.0, 15.06087520777316, 11.936207134930834, 9.183400131764378, 7.079012881089755, 11.50692140425835, 5.6467579421526795, 4.799686591158202, 3.7983487327072605, 5.6185097473573915, 4.296592549036898, 2.4422698761402635, 1.0252080064512963, 0.0), # 117 (14.742875593576338, 11.21926977159314, 12.18479607734449, 12.854972625864399, 11.214857924123566, 5.3074546690537305, 4.7784195543834524, 4.023672440580065, 5.743865658434098, 2.351174238789904, 1.8303836043358468, 1.0819188212497801, 0.0, 15.02927291740644, 11.901107033747579, 9.151918021679233, 7.053522716369711, 11.487731316868196, 5.633141416812091, 4.7784195543834524, 3.791039049324093, 5.607428962061783, 4.284990875288134, 2.436959215468898, 1.0199336155993766, 0.0), # 118 (14.695275067111588, 11.161999352763203, 12.158330461474298, 12.820320735854047, 11.192350917695169, 5.297401851680244, 4.757446366520605, 4.014377646544097, 5.734485289357356, 2.3428104353041492, 1.824192716201821, 1.0787575420828581, 0.0, 14.997316274767892, 11.866332962911438, 9.120963581009105, 7.028431305912447, 11.468970578714712, 5.620128705161736, 4.757446366520605, 3.7838584654858884, 5.5961754588475845, 4.273440245284683, 2.43166609229486, 1.014727213887564, 0.0), # 119 (14.647267343880259, 11.105388252789831, 12.131899984657018, 12.785758396352872, 11.169466343422396, 5.287504010091301, 4.736730650392203, 4.005483187866229, 5.7252933010866975, 2.3345628065503625, 1.818094429197978, 1.0756197726577732, 0.0, 14.964956810116156, 11.831817499235502, 9.090472145989889, 7.003688419651086, 11.450586602173395, 5.60767646301272, 4.736730650392203, 3.7767885786366437, 5.584733171711198, 4.2619194654509585, 2.4263799969314035, 1.0095807502536214, 0.0), # 120 (14.59879423863883, 11.049347909988416, 12.105452098458917, 12.751222026634121, 11.146172069298046, 5.277735380708496, 4.716236028820784, 3.9969581044115383, 5.716263399809866, 2.326414609172919, 1.812075810571498, 1.0724993835938965, 0.0, 14.932146053709857, 11.797493219532859, 9.060379052857488, 6.979243827518756, 11.432526799619732, 5.595741346176154, 4.716236028820784, 3.769810986220354, 5.573086034649023, 4.250407342211375, 2.4210904196917835, 1.0044861736353108, 0.0), # 121 (14.549797566143766, 10.993789762674343, 12.078934254446281, 12.716648045971027, 11.122435963314915, 5.268070199953418, 4.695926124628894, 3.9887714360450994, 5.707369291714607, 2.3183490998161913, 1.8061239275695606, 1.0693902455106004, 0.0, 14.898835535807633, 11.763292700616601, 9.030619637847803, 6.955047299448573, 11.414738583429214, 5.584280010463139, 4.695926124628894, 3.762907285681013, 5.561217981657458, 4.238882681990344, 2.4157868508892566, 0.9994354329703949, 0.0), # 122 (14.50021914115155, 10.938625249163001, 12.052293904185383, 12.681972873636834, 11.098225893465804, 5.258482704247664, 4.675764560639071, 3.9808922226319887, 5.698584682988669, 2.3103495351245553, 1.8002258474393456, 1.0662862290272563, 0.0, 14.864976786668116, 11.729148519299818, 9.001129237196727, 6.931048605373665, 11.397169365977337, 5.573249111684785, 4.675764560639071, 3.7560590744626166, 5.549112946732902, 4.227324291212279, 2.4104587808370765, 0.9944204771966367, 0.0), # 123 (14.450000778418648, 10.883765807769782, 12.025478499242494, 12.647132928904785, 11.073509727743506, 5.248947130012824, 4.655714959673856, 3.9732895040372846, 5.689883279819794, 2.302399171742385, 1.794368637428032, 1.063181204763237, 0.0, 14.830521336549939, 11.694993252395603, 8.971843187140161, 6.907197515227153, 11.379766559639588, 5.562605305652198, 4.655714959673856, 3.74924795000916, 5.536754863871753, 4.215710976301596, 2.405095699848499, 0.9894332552517985, 0.0), # 124 (14.399084292701534, 10.82912287681007, 11.9984354911839, 12.612064631048113, 11.048255334140823, 5.239437713670492, 4.635740944555791, 3.965932320126061, 5.68123878839573, 2.294481266314054, 1.7885393647828007, 1.0600690433379134, 0.0, 14.795420715711726, 11.660759476717045, 8.942696823914003, 6.883443798942161, 11.36247757679146, 5.552305248176485, 4.635740944555791, 3.7424555097646373, 5.524127667070411, 4.204021543682705, 2.39968709823678, 0.9844657160736429, 0.0), # 125 (14.347411498756685, 10.774607894599258, 11.971112331575865, 12.576704399340066, 11.022430580650552, 5.229928691642264, 4.615806138107416, 3.958789710763395, 5.6726249149042225, 2.2865790754839375, 1.7827250967508306, 1.0569436153706582, 0.0, 14.759626454412127, 11.626379769077237, 8.913625483754151, 6.859737226451811, 11.345249829808445, 5.542305595068753, 4.615806138107416, 3.735663351173045, 5.511215290325276, 4.192234799780023, 2.394222466315173, 0.9795098085999328, 0.0), # 126 (14.294924211340579, 10.720132299452729, 11.943456471984673, 12.54098865305388, 10.996003335265492, 5.220394300349728, 4.595874163151275, 3.951830715814364, 5.664015365533016, 2.27867585589641, 1.7769129005793014, 1.0537987914808424, 0.0, 14.723090082909758, 11.591786706289264, 8.884564502896506, 6.836027567689229, 11.328030731066033, 5.53256300214011, 4.595874163151275, 3.728853071678377, 5.498001667632746, 4.1803295510179606, 2.388691294396935, 0.97455748176843, 0.0), # 127 (14.241564245209673, 10.665607529685879, 11.915415363976601, 12.504853811462798, 10.968941465978443, 5.210808776214481, 4.575908642509906, 3.9450243751440417, 5.655383846469858, 2.2707548641958457, 1.7710898435153934, 1.0506284422878387, 0.0, 14.68576313146326, 11.556912865166222, 8.855449217576966, 6.812264592587535, 11.310767692939717, 5.523034125201659, 4.575908642509906, 3.722006268724629, 5.484470732989221, 4.168284603820934, 2.3830830727953205, 0.9696006845168982, 0.0), # 128 (14.187273415120451, 10.610945023614088, 11.886936459117921, 12.468236293840059, 10.9412128407822, 5.201146355658116, 4.555873199005851, 3.938339728617507, 5.646704063902494, 2.2627993570266187, 1.765242992806286, 1.0474264384110183, 0.0, 14.647597130331262, 11.5216908225212, 8.82621496403143, 6.788398071079855, 11.293408127804987, 5.51367562006451, 4.555873199005851, 3.7151045397557967, 5.4706064203911, 4.156078764613354, 2.377387291823584, 0.9646313657830989, 0.0), # 129 (14.131993535829388, 10.556056219552751, 11.857967208974907, 12.431072519458905, 10.91278532766956, 5.191381275102222, 4.53573145546165, 3.9317458160998338, 5.637949724018666, 2.2547925910331035, 1.7593594156991588, 1.044186650469754, 0.0, 14.608543609772397, 11.48605315516729, 8.796797078495793, 6.764377773099309, 11.275899448037332, 5.504444142539767, 4.53573145546165, 3.7081294822158726, 5.45639266383478, 4.1436908398196355, 2.3715934417949813, 0.9596414745047956, 0.0), # 130 (14.07566642209295, 10.500852555817252, 11.828455065113841, 12.393298907592571, 10.883626794633326, 5.181487770968396, 4.515447034699847, 3.9252116774560997, 5.629094533006126, 2.2467178228596745, 1.7534261794411918, 1.0409029490834167, 0.0, 14.568554100045299, 11.449932439917582, 8.767130897205957, 6.740153468579022, 11.258189066012251, 5.49529634843854, 4.515447034699847, 3.701062693548854, 5.441813397316663, 4.131099635864191, 2.3656910130227686, 0.9546229596197504, 0.0), # 131 (14.018233888667616, 10.445245470722984, 11.798347479100995, 12.354851877514303, 10.853705109666297, 5.171440079678229, 4.49498355954298, 3.918706352551382, 5.620112197052615, 2.238558309150706, 1.7474303512795641, 1.0375692048713792, 0.0, 14.527580131408602, 11.413261253585167, 8.73715175639782, 6.715674927452117, 11.24022439410523, 5.486188893571935, 4.49498355954298, 3.693885771198735, 5.4268525548331485, 4.1182839591714355, 2.3596694958201994, 0.949567770065726, 0.0), # 132 (13.959637750309861, 10.38914640258533, 11.767591902502646, 12.315667848497343, 10.822988140761264, 5.161212437653315, 4.474304652813592, 3.9121988812507547, 5.61097642234588, 2.2302973065505736, 1.7413589984614566, 1.0341792884530125, 0.0, 14.485573234120938, 11.375972172983136, 8.706794992307282, 6.690891919651719, 11.22195284469176, 5.477078433751057, 4.474304652813592, 3.686580312609511, 5.411494070380632, 4.105222616165782, 2.3535183805005295, 0.9444678547804848, 0.0), # 133 (13.899819821776152, 10.332466789719687, 11.736135786885072, 12.275683239814924, 10.791443755911033, 5.150779081315248, 4.453373937334223, 3.9056583034192958, 5.601660915073669, 2.2219180717036497, 1.7351991882340478, 1.030727070447689, 0.0, 14.442484938440934, 11.337997774924577, 8.675995941170239, 6.6657542151109475, 11.203321830147338, 5.467921624787015, 4.453373937334223, 3.6791279152251772, 5.395721877955516, 4.091894413271643, 2.3472271573770147, 0.9393151627017899, 0.0), # 134 (13.838721917822966, 10.275118070441435, 11.703926583814546, 12.234834470740296, 10.759039823108395, 5.14011424708562, 4.432155035927415, 3.8990536589220803, 5.592139381423722, 2.213403861254311, 1.7289379878445184, 1.0272064214747805, 0.0, 14.398266774627231, 11.299270636222584, 8.64468993922259, 6.640211583762932, 11.184278762847445, 5.458675122490913, 4.432155035927415, 3.671510176489728, 5.379519911554198, 4.0782781569134325, 2.340785316762909, 0.9341016427674034, 0.0), # 135 (13.776285853206776, 10.217011683065968, 11.670911744857346, 12.193057960546685, 10.725744210346152, 5.129192171386024, 4.410611571415708, 3.892353987624185, 5.5823855275837895, 2.2047379318469296, 1.7225624645400475, 1.0236112121536591, 0.0, 14.352870272938459, 11.259723333690248, 8.612812322700236, 6.614213795540787, 11.164771055167579, 5.44929558267386, 4.410611571415708, 3.6637086938471604, 5.362872105173076, 4.064352653515563, 2.3341823489714693, 0.9288192439150881, 0.0), # 136 (13.712453442684055, 10.15805906590867, 11.63703872157975, 12.15029012850735, 10.691524785617101, 5.117987090638052, 4.388707166621645, 3.885528329390686, 5.572373059741617, 2.1959035401258813, 1.716059685567815, 1.0199353131036961, 0.0, 14.306246963633242, 11.219288444140656, 8.580298427839075, 6.587710620377642, 11.144746119483234, 5.439739661146961, 4.388707166621645, 3.6557050647414657, 5.345762392808551, 4.050096709502451, 2.3274077443159498, 0.9234599150826065, 0.0), # 137 (13.647166501011277, 10.098171657284933, 11.602254965548024, 12.106467393895517, 10.656349416914047, 5.106473241263299, 4.366405444367763, 3.8785457240866603, 5.56207568408495, 2.1868839427355393, 1.7094167181750008, 1.016172594944264, 0.0, 14.258348376970226, 11.1778985443869, 8.547083590875005, 6.560651828206616, 11.1241513681699, 5.4299640137213245, 4.366405444367763, 3.6474808866166426, 5.3281747084570235, 4.035489131298506, 2.320450993109605, 0.9180156052077213, 0.0), # 138 (13.58036684294491, 10.037260895510144, 11.566507928328454, 12.061526175984431, 10.620185972229777, 5.094624859683358, 4.343670027476608, 3.8713752115771833, 5.551467106801532, 2.1776623963202795, 1.7026206296087845, 1.0123169282947344, 0.0, 14.20912604320803, 11.135486211242075, 8.513103148043921, 6.532987188960837, 11.102934213603064, 5.419925296208056, 4.343670027476608, 3.6390177569166844, 5.3100929861148884, 4.020508725328145, 2.313301585665691, 0.912478263228195, 0.0), # 139 (13.511996283241437, 9.97523821889969, 11.529745061487317, 12.015402894047334, 10.583002319557098, 5.082416182319821, 4.320464538770717, 3.863985831727331, 5.54052103407911, 2.168222157524475, 1.6956584871163454, 1.008362183774479, 0.0, 14.158531492605304, 11.091984021519266, 8.478292435581725, 6.504666472573423, 11.08104206815822, 5.409580164418264, 4.320464538770717, 3.6302972730855863, 5.291501159778549, 4.005134298015779, 2.3059490122974635, 0.9068398380817901, 0.0), # 140 (13.44199663665733, 9.912015065768964, 11.491913816590882, 11.968033967357464, 10.544766326888803, 5.069821445594281, 4.296752601072636, 3.8563466244021805, 5.529211172105429, 2.158546482992501, 1.688517357944864, 1.00430223200287, 0.0, 14.106516255420662, 11.047324552031569, 8.442586789724318, 6.4756394489775015, 11.058422344210857, 5.398885274163053, 4.296752601072636, 3.6213010325673434, 5.272383163444402, 3.989344655785822, 2.2983827633181764, 0.9010922787062696, 0.0), # 141 (13.37030971794905, 9.84750287443335, 11.452961645205429, 11.919355815188066, 10.505445862217693, 5.056814885928333, 4.272497837204901, 3.848426629466808, 5.517511227068235, 2.1486186293687317, 1.6811843093415195, 1.0001309435992793, 0.0, 14.053031861912746, 11.001440379592072, 8.405921546707596, 6.445855888106194, 11.03502245413647, 5.3877972812535315, 4.272497837204901, 3.612010632805952, 5.252722931108846, 3.973118605062689, 2.2905923290410857, 0.8952275340393956, 0.0), # 142 (13.29687734187308, 9.781613083208239, 11.412835998897235, 11.86930485681237, 10.465008793536564, 5.043370739743566, 4.247663869990055, 3.840194886786288, 5.505394905155279, 2.1384218532975416, 1.6736464085534917, 0.9958421891830788, 0.0, 13.998029842340188, 10.954264081013864, 8.368232042767458, 6.415265559892624, 11.010789810310557, 5.376272841500803, 4.247663869990055, 3.6024076712454045, 5.232504396768282, 3.956434952270791, 2.282567199779447, 0.8892375530189309, 0.0), # 143 (13.221641323185896, 9.714257130409019, 11.37148432923257, 11.817817511503629, 10.423422988838217, 5.029463243461577, 4.222214322250639, 3.8316204362256996, 5.492835912554298, 2.1279394114233043, 1.6658907228279605, 0.99142983937364, 0.0, 13.941461726961624, 10.905728233110038, 8.329453614139801, 6.383818234269912, 10.985671825108597, 5.364268610715979, 4.222214322250639, 3.592473745329698, 5.2117114944191085, 3.9392725038345437, 2.2742968658465146, 0.8831142845826383, 0.0), # 144 (13.144543476643964, 9.64534645435108, 11.328854087777719, 11.764830198535075, 10.380656316115449, 5.015066633503958, 4.196112816809195, 3.8226723176501176, 5.479807955453042, 2.1171545603903956, 1.6579043194121055, 0.9868877647903354, 0.0, 13.88327904603568, 10.855765412693687, 8.289521597060528, 6.351463681171186, 10.959615910906084, 5.351741244710165, 4.196112816809195, 3.582190452502827, 5.190328158057724, 3.921610066178359, 2.265770817555544, 0.8768496776682801, 0.0), # 145 (13.065525617003761, 9.574792493349808, 11.284892726098956, 11.710279337179951, 10.33667664336106, 5.000155146292303, 4.169322976488264, 3.813319570924618, 5.4662847400392565, 2.1060505568431886, 1.6496742655531065, 0.9822098360525362, 0.0, 13.82343332982099, 10.804308196577896, 8.248371327765533, 6.318151670529565, 10.932569480078513, 5.338647399294466, 4.169322976488264, 3.5715393902087875, 5.16833832168053, 3.903426445726651, 2.2569785452197917, 0.870435681213619, 0.0), # 146 (12.98452955902176, 9.502506685720592, 11.239547695762546, 11.654101346711496, 10.291451838567841, 4.984703018248201, 4.141808424110385, 3.803531235914277, 5.4522399725006885, 2.094610657426059, 1.6411876284981433, 0.9773899237796149, 0.0, 13.761876108576189, 10.751289161575762, 8.205938142490716, 6.2838319722781755, 10.904479945001377, 5.324943730279988, 4.141808424110385, 3.5605021558915717, 5.145725919283921, 3.884700448903833, 2.2479095391525097, 0.8638642441564175, 0.0), # 147 (12.901497117454435, 9.428400469778822, 11.192766448334778, 11.596232646402957, 10.2449497697286, 4.968684485793251, 4.113532782498101, 3.7932763524841717, 5.437647359025082, 2.082818118783379, 1.6324314754943956, 0.9724218985909429, 0.0, 13.698558912559907, 10.69664088450037, 8.162157377471978, 6.248454356350136, 10.875294718050164, 5.310586893477841, 4.113532782498101, 3.5490603469951787, 5.1224748848643, 3.8654108821343196, 2.2385532896669558, 0.8571273154344385, 0.0), # 148 (12.81637010705826, 9.352385283839885, 11.144496435381926, 11.536609655527563, 10.197138304836129, 4.9520737853490395, 4.084459674473953, 3.7825239604993777, 5.42248060580018, 2.0706561975595257, 1.6233928737890426, 0.9672996311058923, 0.0, 13.63343327203078, 10.640295942164814, 8.116964368945213, 6.211968592678575, 10.84496121160036, 5.295533544699129, 4.084459674473953, 3.5371955609635997, 5.098569152418064, 3.845536551842522, 2.2288992870763855, 0.8502168439854443, 0.0), # 149 (12.729090342589704, 9.274372566219169, 11.09468510847026, 11.475168793358566, 10.147985311883227, 4.934845153337166, 4.054552722860481, 3.771243099824971, 5.406713419013735, 2.058108150398871, 1.614058890629265, 0.9620169919438353, 0.0, 13.566450717247434, 10.582186911382186, 8.070294453146325, 6.174324451196611, 10.81342683802747, 5.27974033975496, 4.054552722860481, 3.524889395240833, 5.0739926559416135, 3.825056264452856, 2.2189370216940523, 0.8431247787471974, 0.0), # 150 (12.63959963880524, 9.194273755232066, 11.043279919166057, 11.411846479169196, 10.097458658862696, 4.916972826179219, 4.023775550480226, 3.759402810326029, 5.390319504853488, 2.0451572339457917, 1.6044165932622414, 0.956567851724143, 0.0, 13.49756277846851, 10.522246368965572, 8.022082966311206, 6.135471701837374, 10.780639009706976, 5.263163934456441, 4.023775550480226, 3.5121234472708704, 5.048729329431348, 3.8039488263897328, 2.2086559838332116, 0.8358430686574607, 0.0), # 151 (12.54783981046135, 9.11200028919396, 10.990228319035603, 11.346579132232703, 10.045526213767326, 4.898431040296793, 3.992091780155732, 3.7469721318676275, 5.373272569507184, 2.0317867048446603, 1.5944530489351527, 0.950946081066188, 0.0, 13.426720985952636, 10.460406891728066, 7.9722652446757625, 6.09536011453398, 10.746545139014367, 5.245760984614678, 3.992091780155732, 3.4988793144977093, 5.022763106883663, 3.7821930440775686, 2.198045663807121, 0.8283636626539964, 0.0), # 152 (12.453752672314497, 9.027463606420243, 10.935477759645158, 11.27930317182232, 9.992155844589925, 4.8791940321114815, 3.9594650347095355, 3.7339201043148416, 5.355546319162572, 2.017979819739852, 1.5841553248951779, 0.945145550589342, 0.0, 13.353876869958444, 10.39660105648276, 7.920776624475889, 6.053939459219555, 10.711092638325145, 5.227488146040779, 3.9594650347095355, 3.485138594365344, 4.996077922294963, 3.759767723940774, 2.187095551929032, 0.8206785096745677, 0.0), # 153 (12.357280039121166, 8.940575145226303, 10.878975692561012, 11.209955017211293, 9.937315419323285, 4.859236038044878, 3.9258589369641825, 3.7202157675327485, 5.337114460007395, 2.0037198352757417, 1.5735104883894968, 0.9391601309129768, 0.0, 13.278981960744572, 10.330761440042743, 7.867552441947483, 6.011159505827224, 10.67422892001479, 5.208302074545848, 3.9258589369641825, 3.4708828843177697, 4.968657709661643, 3.736651672403765, 2.1757951385122025, 0.8127795586569367, 0.0), # 154 (12.258363725637818, 8.851246343927524, 10.820669569349436, 11.138471087672855, 9.880972805960209, 4.838531294518574, 3.891237109742209, 3.705828161386424, 5.317950698229401, 1.9889900080967022, 1.562505606665289, 0.9329836926564644, 0.0, 13.201987788569642, 10.262820619221108, 7.812528033326444, 5.966970024290106, 10.635901396458802, 5.188159425940994, 3.891237109742209, 3.456093781798981, 4.940486402980104, 3.712823695890952, 2.1641339138698874, 0.804658758538866, 0.0), # 155 (12.15694554662093, 8.759388640839303, 10.760506841576703, 11.06478780248025, 9.823095872493491, 4.817054037954164, 3.85556317586616, 3.690726325740946, 5.298028740016334, 1.9737735948471096, 1.5511277469697347, 0.9266101064391765, 0.0, 13.122845883692296, 10.19271117083094, 7.755638734848673, 5.921320784541328, 10.596057480032668, 5.167016856037325, 3.85556317586616, 3.440752884252974, 4.911547936246746, 3.688262600826751, 2.1521013683153405, 0.7963080582581185, 0.0), # 156 (12.05296731682698, 8.664913474277022, 10.698434960809092, 10.988841580906726, 9.76365248691593, 4.79477850477324, 3.8188007581585754, 3.6748793004613884, 5.27732229155594, 1.958053852171337, 1.5393639765500133, 0.9200332428804852, 0.0, 13.041507776371162, 10.120365671685335, 7.696819882750066, 5.87416155651401, 10.55464458311188, 5.1448310206459436, 3.8188007581585754, 3.4248417891237426, 4.881826243457965, 3.662947193635576, 2.1396869921618182, 0.7877194067524566, 0.0), # 157 (11.943489514248384, 8.56599791046598, 10.631455938536474, 10.907723497981493, 9.699926512929064, 4.7702895112293024, 3.780085376742286, 3.6571979682329148, 5.254219782186185, 1.9413463665164579, 1.5268255340103847, 0.9130132752259121, 0.0, 12.954377375064553, 10.043146027485031, 7.634127670051924, 5.824039099549372, 10.50843956437237, 5.120077155526081, 3.780085376742286, 3.407349650878073, 4.849963256464532, 3.6359078326604983, 2.126291187707295, 0.7787270827696345, 0.0), # 158 (11.811658827165445, 8.452495802079234, 10.542317091203984, 10.804772590546145, 9.61620406376707, 4.7354436714732975, 3.734570210708573, 3.6314756885095885, 5.21942787265181, 1.9209123976394986, 1.5113111828317318, 0.9041816698244146, 0.0, 12.840684235072311, 9.94599836806856, 7.556555914158659, 5.762737192918495, 10.43885574530362, 5.084065963913424, 3.734570210708573, 3.3824597653380692, 4.808102031883535, 3.6015908635153826, 2.108463418240797, 0.7684087092799304, 0.0), # 159 (11.655795351846896, 8.323475201859713, 10.429227943941186, 10.678293012490633, 9.51084814010325, 4.689385209644506, 3.6817949987070273, 3.5970661263515646, 5.171960121188613, 1.896482260745158, 1.4926025356292107, 0.893400259851713, 0.0, 12.69827297422973, 9.827402858368842, 7.463012678146054, 5.689446782235472, 10.343920242377227, 5.0358925768921905, 3.6817949987070273, 3.3495608640317895, 4.755424070051625, 3.559431004163545, 2.0858455887882372, 0.7566795638054286, 0.0), # 160 (11.477155287337537, 8.179777273184687, 10.293395962547079, 10.529487004508074, 9.38495266590092, 4.632672092132293, 3.622145156805501, 3.5544003554065204, 5.112442542399476, 1.8682632772683756, 1.4708644412265888, 0.8807689958543429, 0.0, 12.528598471710556, 9.68845895439777, 7.354322206132943, 5.6047898318051255, 10.224885084798952, 4.976160497569129, 3.622145156805501, 3.3090514943802094, 4.69247633295046, 3.509829001502692, 2.058679192509416, 0.7436161157440625, 0.0), # 161 (11.27699483268217, 8.022243179431417, 10.136028612820661, 10.359556807291593, 9.239611565123418, 4.565862285326026, 3.5560061010718473, 3.503909449322135, 5.041501150887273, 1.836462768644093, 1.4462617484476323, 0.8663878283788393, 0.0, 12.333115606688533, 9.530266112167231, 7.231308742238162, 5.509388305932278, 10.083002301774545, 4.9054732290509895, 3.5560061010718473, 3.261330203804304, 4.619805782561709, 3.4531856024305316, 2.0272057225641325, 0.7292948344937653, 0.0), # 162 (11.056570186925597, 7.851714083977169, 9.958333360560937, 10.169704661534322, 9.075918761734068, 4.489513755615068, 3.4837632475739206, 3.4460244817460834, 4.959761961254883, 1.8012880563072504, 1.418959306116109, 0.8503567079717379, 0.0, 12.113279258337407, 9.353923787689116, 7.0947965305805445, 5.40386416892175, 9.919523922509766, 4.824434274444517, 3.4837632475739206, 3.2067955397250487, 4.537959380867034, 3.3899015538447745, 1.9916666721121876, 0.71379218945247, 0.0), # 163 (10.817137549112616, 7.669031150199204, 9.761517671566903, 9.961132807929381, 8.894968179696201, 4.404184469388787, 3.405802012379573, 3.3811765263260463, 4.867850988105186, 1.762946461692788, 1.3891219630557858, 0.8327755851795738, 0.0, 11.870544305830926, 9.160531436975312, 6.945609815278928, 5.288839385078362, 9.735701976210372, 4.733647136856465, 3.405802012379573, 3.1458460495634197, 4.447484089848101, 3.320377602643128, 1.9523035343133808, 0.6971846500181095, 0.0), # 164 (10.559953118288028, 7.475035541474793, 9.546789011637559, 9.735043487169904, 8.697853742973145, 4.310432393036548, 3.3225078115566578, 3.3097966567096977, 4.766394246041056, 1.7216453062356458, 1.35691456809043, 0.8137444105488828, 0.0, 11.606365628342832, 8.951188516037709, 6.7845728404521495, 5.164935918706936, 9.532788492082112, 4.633715319393577, 3.3225078115566578, 3.078880280740391, 4.348926871486572, 3.245014495723302, 1.909357802327512, 0.6795486855886177, 0.0), # 165 (10.286273093496636, 7.270568421181199, 9.315354846571905, 9.492638939949002, 8.485669375528229, 4.208815492947715, 3.234266061173029, 3.2323159465447184, 4.656017749665372, 1.6775919113707654, 1.322501970043808, 0.7933631346262003, 0.0, 11.322198105046873, 8.726994480888202, 6.612509850219039, 5.0327757341122945, 9.312035499330744, 4.525242325162606, 3.234266061173029, 3.0062967806769394, 4.242834687764114, 3.1642129799830014, 1.8630709693143812, 0.6609607655619273, 0.0), # 166 (9.997353673783238, 7.056470952695688, 9.06842264216894, 9.235121406959813, 8.259509001324778, 4.099891735511655, 3.14146217729654, 3.1491654694787847, 4.537347513581013, 1.6309935985330861, 1.2860490177396875, 0.7717317079580612, 0.0, 11.019496615116793, 8.489048787538673, 6.430245088698436, 4.892980795599257, 9.074695027162026, 4.408831657270299, 3.14146217729654, 2.928494096794039, 4.129754500662389, 3.0783738023199385, 1.8136845284337881, 0.6414973593359717, 0.0), # 167 (9.694451058192634, 6.833584299395522, 8.807199864227664, 8.963693128895455, 8.020466544326124, 3.9842190871177325, 3.0444815759950434, 3.0607762991595733, 4.411009552390856, 1.5820576891575493, 1.247720560001835, 0.7489500810910016, 0.0, 10.69971603772634, 8.238450892001017, 6.2386028000091756, 4.746173067472647, 8.822019104781711, 4.285086818823403, 3.0444815759950434, 2.8458707765126663, 4.010233272163062, 2.987897709631819, 1.7614399728455332, 0.6212349363086839, 0.0), # 168 (9.378821445769624, 6.602749624657969, 8.53289397854708, 8.67955634644906, 7.769635928495594, 3.8623555141553156, 2.9437096733363934, 2.9675795092347634, 4.277629880697781, 1.5309915046790952, 1.2076814456540184, 0.7251182045715564, 0.0, 10.364311252049257, 7.976300250287119, 6.038407228270092, 4.592974514037284, 8.555259761395561, 4.154611312928669, 2.9437096733363934, 2.7588253672537966, 3.884817964247797, 2.8931854488163538, 1.706578795709416, 0.6002499658779973, 0.0), # 169 (9.051721035559014, 6.3648080918602945, 8.24671245092618, 8.383913300313743, 7.508111077796515, 3.7348589830137664, 2.8395318853884426, 2.870006173352032, 4.137834513104661, 1.4780023665326634, 1.1660965235200045, 0.7003360289462612, 0.0, 10.014737137259289, 7.7036963184088725, 5.830482617600023, 4.43400709959799, 8.275669026209322, 4.018008642692845, 2.8395318853884426, 2.6677564164384044, 3.7540555388982577, 2.7946377667712485, 1.649342490185236, 0.5786189174418451, 0.0), # 170 (8.7144060266056, 6.12060086437976, 7.949862747163971, 8.077966231182643, 7.23698591619222, 3.602287460082452, 2.7323336282190445, 2.7684873651590554, 3.992249464214377, 1.4232975961531957, 1.1231306424235596, 0.6747035047616515, 0.0, 9.652448572530185, 7.421738552378166, 5.615653212117798, 4.269892788459586, 7.984498928428754, 3.8758823112226777, 2.7323336282190445, 2.5730624714874657, 3.61849295809611, 2.692655410394215, 1.5899725494327943, 0.5564182603981601, 0.0), # 171 (8.368132617954185, 5.870969105593635, 7.643552333059449, 7.762917379748876, 6.9573543676460305, 3.4651989117507385, 2.6225003178960526, 2.663454158303514, 3.8415007486298056, 1.3670845149756323, 1.0789486511884518, 0.648320582564263, 0.0, 9.278900437035686, 7.1315264082068905, 5.3947432559422595, 4.101253544926896, 7.683001497259611, 3.7288358216249198, 2.6225003178960526, 2.475142079821956, 3.4786771838230153, 2.587639126582959, 1.52871046661189, 0.5337244641448761, 0.0), # 172 (8.014157008649567, 5.616753978879182, 7.328988674411616, 7.439968986705571, 6.6703103561212815, 3.3241513044079904, 2.51041737048732, 2.5553376264330825, 3.6862143809538255, 1.309570444434913, 1.0337153986384477, 0.62128721290063, 0.0, 8.89554760994954, 6.83415934190693, 5.168576993192238, 3.9287113333047383, 7.372428761907651, 3.5774726770063157, 2.51041737048732, 2.37439378886285, 3.3351551780606408, 2.479989662235191, 1.4657977348823235, 0.5106139980799257, 0.0), # 173 (7.6537353977365505, 5.358796647613667, 7.00737923701947, 7.110323292745849, 6.376947805581297, 3.179702604443573, 2.3964702020607005, 2.4445688431954404, 3.527016375789314, 1.250962705965979, 0.9875957335973142, 0.5937033463172892, 0.0, 8.503844970445494, 6.53073680949018, 4.93797866798657, 3.7528881178979363, 7.054032751578628, 3.4223963804736166, 2.3964702020607005, 2.2712161460311235, 3.1884739027906486, 2.370107764248617, 1.401475847403894, 0.4871633316012425, 0.0), # 174 (7.288123984259929, 5.097938275174352, 6.679931486682011, 6.7751825385628415, 6.078360639989406, 3.0324107782468537, 2.2810442286840464, 2.331578882238264, 3.36453274773915, 1.19146862100377, 0.9407545048888186, 0.5656689333607753, 0.0, 8.105247397697292, 6.222358266968527, 4.703772524444093, 3.574405863011309, 6.7290654954783, 3.26421043513357, 2.2810442286840464, 2.1660076987477526, 3.039180319994703, 2.2583941795209475, 1.3359862973364023, 0.46344893410675936, 0.0), # 175 (6.91857896726451, 4.835020024938507, 6.347852889198238, 6.435748964849671, 5.775642783308939, 2.882833792207196, 2.164524866425212, 2.216798817209233, 3.199389511406209, 1.131295510983227, 0.8933565613367281, 0.537283924577624, 0.0, 7.701209770878679, 5.910123170353863, 4.46678280668364, 3.39388653294968, 6.398779022812418, 3.103518344092926, 2.164524866425212, 2.0591669944337117, 2.8878213916544695, 2.1452496549498905, 1.2695705778396478, 0.4395472749944098, 0.0), # 176 (6.546356545795092, 4.570883060283395, 6.012350910367152, 6.093224812299459, 5.469888159503225, 2.731529612713966, 2.0472975313520503, 2.100659721756022, 3.0322126813933705, 1.07065069733929, 0.8455667517648098, 0.5086482705143706, 0.0, 7.2931869691634, 5.595130975658075, 4.227833758824048, 3.211952092017869, 6.064425362786741, 2.9409236104584306, 2.0472975313520503, 1.9510925805099755, 2.7349440797516125, 2.0310749374331536, 1.2024701820734305, 0.4155348236621269, 0.0), # 177 (6.172712918896475, 4.306368544586282, 5.6746330159877525, 5.74881232160534, 5.162190692535588, 2.5790562061565305, 1.929747639532414, 1.9835926695263104, 2.863628272303512, 1.0097415015069002, 0.7975499249968301, 0.4798619217175504, 0.0, 6.882633871725203, 5.278481138893053, 3.98774962498415, 3.0292245045207, 5.727256544607024, 2.7770297373368344, 1.929747639532414, 1.8421830043975218, 2.581095346267794, 1.916270773868447, 1.1349266031975505, 0.3914880495078438, 0.0), # 178 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179 ) passenger_allighting_rate = ( (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 132 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 133 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 134 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 135 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 136 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 137 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 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 21, # 1 )
""" PASSENGERS """ num_passengers = 31043 passenger_arriving = ((10, 4, 10, 7, 4, 5, 6, 5, 3, 4, 0, 0, 0, 5, 15, 5, 4, 4, 3, 0, 2, 3, 4, 1, 0, 0), (2, 10, 11, 8, 5, 3, 3, 2, 5, 2, 0, 0, 0, 9, 10, 2, 5, 6, 4, 3, 5, 2, 8, 1, 0, 0), (1, 9, 6, 9, 8, 5, 5, 4, 1, 1, 2, 2, 0, 10, 4, 8, 11, 12, 5, 4, 2, 4, 4, 2, 4, 0), (7, 14, 5, 7, 6, 4, 0, 4, 3, 1, 3, 1, 0, 6, 8, 10, 5, 9, 7, 4, 3, 1, 0, 0, 2, 0), (11, 11, 13, 8, 7, 2, 5, 3, 3, 2, 4, 0, 0, 9, 3, 2, 9, 5, 5, 4, 3, 4, 2, 5, 0, 0), (10, 10, 5, 8, 9, 8, 3, 7, 6, 0, 5, 1, 0, 8, 16, 7, 3, 8, 5, 5, 1, 3, 5, 1, 0, 0), (13, 11, 8, 7, 8, 5, 8, 5, 7, 3, 1, 2, 0, 7, 9, 10, 9, 5, 8, 1, 1, 3, 1, 2, 1, 0), (14, 9, 7, 6, 6, 1, 5, 6, 7, 3, 2, 1, 0, 12, 12, 8, 2, 11, 6, 4, 1, 4, 1, 2, 1, 0), (12, 15, 7, 13, 10, 8, 4, 2, 2, 2, 2, 3, 0, 17, 10, 11, 9, 9, 1, 8, 2, 4, 6, 0, 2, 0), (6, 18, 9, 20, 8, 2, 8, 3, 2, 1, 0, 1, 0, 11, 14, 11, 9, 12, 9, 4, 3, 8, 7, 2, 1, 0), (18, 16, 13, 13, 6, 4, 7, 4, 7, 3, 1, 0, 0, 16, 7, 13, 6, 8, 8, 4, 3, 5, 6, 6, 1, 0), (13, 12, 13, 14, 9, 5, 4, 6, 7, 4, 2, 1, 0, 13, 16, 8, 8, 10, 8, 7, 5, 5, 2, 0, 2, 0), (15, 18, 13, 13, 12, 3, 8, 7, 3, 5, 3, 0, 0, 10, 13, 7, 11, 12, 10, 5, 4, 4, 2, 1, 3, 0), (12, 11, 10, 14, 7, 11, 5, 4, 6, 9, 2, 0, 0, 12, 13, 10, 8, 13, 11, 8, 3, 6, 3, 2, 1, 0), (15, 15, 21, 13, 12, 5, 6, 8, 5, 1, 3, 1, 0, 20, 11, 9, 7, 17, 7, 6, 7, 5, 5, 2, 1, 0), (19, 14, 10, 17, 10, 5, 9, 4, 10, 3, 1, 2, 0, 18, 19, 8, 10, 15, 3, 7, 5, 4, 1, 2, 1, 0), (11, 11, 13, 11, 11, 4, 1, 8, 7, 3, 2, 1, 0, 10, 16, 8, 6, 11, 10, 2, 4, 5, 10, 3, 0, 0), (10, 11, 8, 11, 11, 4, 5, 6, 4, 4, 3, 1, 0, 29, 14, 9, 5, 11, 3, 7, 5, 4, 6, 1, 1, 0), (13, 9, 13, 15, 5, 9, 8, 5, 5, 4, 0, 1, 0, 19, 18, 9, 9, 9, 12, 8, 6, 4, 3, 5, 1, 0), (22, 22, 14, 12, 16, 6, 9, 5, 9, 5, 2, 1, 0, 14, 20, 11, 18, 18, 2, 4, 5, 7, 2, 3, 2, 0), (14, 11, 13, 12, 12, 4, 2, 4, 6, 2, 2, 3, 0, 13, 16, 14, 5, 7, 10, 5, 4, 7, 2, 5, 1, 0), (13, 26, 17, 12, 19, 5, 5, 5, 6, 8, 4, 2, 0, 16, 16, 14, 13, 12, 8, 4, 9, 4, 7, 2, 5, 0), (8, 20, 15, 4, 10, 6, 6, 4, 10, 4, 0, 0, 0, 18, 11, 12, 7, 12, 8, 9, 2, 5, 6, 3, 1, 0), (17, 21, 17, 13, 15, 5, 10, 5, 8, 3, 2, 0, 0, 17, 11, 14, 4, 14, 8, 8, 2, 7, 2, 3, 2, 0), (23, 14, 9, 14, 14, 8, 7, 7, 6, 2, 2, 1, 0, 14, 22, 9, 10, 13, 8, 4, 4, 5, 9, 1, 0, 0), (20, 12, 12, 18, 9, 5, 12, 6, 8, 1, 3, 2, 0, 18, 14, 4, 5, 10, 13, 1, 5, 7, 7, 2, 1, 0), (15, 16, 11, 15, 12, 5, 1, 5, 9, 1, 0, 0, 0, 19, 16, 7, 13, 15, 10, 7, 7, 4, 1, 1, 0, 0), (23, 16, 11, 15, 15, 4, 7, 7, 5, 4, 3, 2, 0, 13, 18, 13, 17, 11, 9, 6, 3, 5, 3, 3, 1, 0), (19, 18, 17, 18, 12, 5, 3, 5, 9, 4, 2, 0, 0, 10, 11, 13, 11, 10, 9, 10, 3, 7, 6, 3, 2, 0), (16, 11, 16, 12, 12, 8, 8, 6, 5, 4, 3, 3, 0, 9, 10, 9, 16, 12, 13, 9, 3, 7, 8, 1, 3, 0), (12, 11, 14, 17, 13, 6, 6, 6, 5, 9, 5, 2, 0, 16, 19, 12, 13, 11, 7, 2, 6, 8, 3, 2, 2, 0), (14, 23, 17, 13, 20, 6, 6, 9, 6, 3, 1, 1, 0, 19, 16, 8, 8, 10, 8, 5, 4, 9, 4, 2, 1, 0), (18, 14, 13, 14, 15, 5, 4, 6, 5, 0, 2, 3, 0, 20, 17, 7, 11, 13, 7, 5, 4, 10, 1, 6, 3, 0), (20, 22, 18, 11, 10, 1, 10, 3, 4, 8, 1, 4, 0, 25, 17, 10, 7, 10, 5, 10, 3, 9, 5, 2, 1, 0), (21, 14, 11, 19, 11, 10, 4, 10, 9, 4, 1, 1, 0, 16, 10, 20, 15, 20, 14, 9, 3, 4, 8, 3, 1, 0), (16, 22, 17, 10, 13, 3, 5, 7, 6, 4, 4, 1, 0, 18, 18, 14, 10, 14, 9, 3, 3, 10, 4, 0, 0, 0), (11, 11, 10, 17, 7, 4, 11, 5, 8, 3, 4, 1, 0, 15, 13, 18, 11, 9, 2, 8, 7, 7, 3, 4, 0, 0), (10, 24, 13, 15, 13, 4, 3, 9, 5, 5, 3, 1, 0, 13, 16, 12, 7, 12, 10, 6, 11, 12, 4, 3, 2, 0), (19, 17, 9, 11, 9, 4, 8, 4, 4, 3, 3, 1, 0, 16, 20, 16, 14, 11, 12, 3, 0, 4, 8, 3, 2, 0), (12, 18, 18, 22, 11, 3, 5, 7, 7, 4, 2, 0, 0, 13, 24, 14, 10, 13, 12, 5, 5, 6, 4, 5, 2, 0), (15, 18, 13, 16, 13, 5, 6, 7, 4, 1, 3, 2, 0, 18, 18, 10, 11, 9, 6, 12, 1, 9, 6, 4, 2, 0), (18, 16, 9, 8, 11, 5, 9, 7, 6, 3, 3, 1, 0, 17, 14, 14, 9, 13, 6, 8, 4, 8, 6, 3, 2, 0), (14, 12, 10, 14, 9, 4, 8, 7, 4, 3, 2, 0, 0, 13, 13, 9, 13, 8, 16, 4, 3, 4, 2, 2, 1, 0), (24, 16, 13, 12, 20, 8, 7, 5, 5, 3, 1, 2, 0, 18, 12, 8, 8, 13, 8, 5, 6, 9, 5, 3, 2, 0), (16, 12, 12, 14, 18, 5, 9, 8, 3, 3, 1, 2, 0, 12, 17, 10, 8, 19, 11, 8, 6, 7, 3, 4, 2, 0), (11, 18, 14, 22, 13, 4, 11, 4, 8, 1, 3, 1, 0, 19, 13, 12, 14, 14, 3, 6, 5, 6, 4, 1, 3, 0), (21, 10, 14, 15, 7, 5, 6, 5, 10, 4, 0, 5, 0, 22, 14, 12, 10, 16, 9, 7, 3, 6, 6, 2, 1, 0), (14, 22, 14, 19, 15, 3, 9, 7, 5, 3, 0, 0, 0, 12, 21, 11, 8, 11, 6, 6, 9, 10, 2, 2, 2, 0), (28, 15, 8, 15, 14, 6, 5, 9, 12, 1, 0, 1, 0, 11, 13, 6, 9, 16, 3, 6, 3, 6, 0, 2, 3, 0), (10, 18, 17, 17, 14, 6, 6, 4, 5, 6, 1, 1, 0, 18, 15, 11, 10, 12, 7, 7, 4, 4, 3, 1, 0, 0), (13, 14, 8, 20, 13, 12, 6, 5, 3, 5, 5, 0, 0, 16, 14, 11, 5, 17, 7, 7, 5, 6, 5, 5, 1, 0), (19, 17, 22, 27, 16, 4, 2, 3, 7, 4, 1, 1, 0, 19, 10, 10, 9, 11, 10, 6, 2, 5, 6, 5, 1, 0), (12, 12, 19, 11, 9, 8, 7, 7, 8, 1, 1, 3, 0, 17, 18, 9, 6, 13, 8, 5, 4, 13, 3, 2, 1, 0), (10, 15, 13, 11, 13, 5, 5, 7, 4, 2, 1, 2, 0, 15, 15, 6, 6, 16, 4, 5, 6, 6, 4, 1, 3, 0), (24, 20, 16, 13, 5, 10, 8, 11, 2, 1, 2, 0, 0, 19, 18, 13, 7, 17, 11, 7, 5, 4, 3, 0, 0, 0), (18, 18, 14, 17, 11, 6, 6, 3, 5, 4, 0, 0, 0, 11, 19, 10, 5, 13, 10, 5, 4, 6, 5, 1, 2, 0), (20, 13, 14, 20, 15, 7, 7, 2, 7, 7, 3, 0, 0, 16, 19, 11, 6, 15, 11, 4, 4, 7, 8, 4, 1, 0), (16, 13, 20, 10, 6, 8, 3, 6, 7, 1, 1, 1, 0, 19, 17, 10, 9, 14, 4, 6, 5, 9, 6, 2, 2, 0), (19, 15, 10, 20, 8, 7, 6, 9, 3, 7, 3, 0, 0, 18, 15, 6, 8, 13, 5, 7, 4, 5, 3, 7, 4, 0), (14, 10, 13, 20, 15, 5, 4, 6, 2, 1, 2, 0, 0, 20, 13, 14, 9, 16, 7, 6, 1, 9, 2, 2, 2, 0), (13, 14, 7, 15, 9, 6, 5, 5, 3, 2, 2, 3, 0, 17, 16, 11, 2, 14, 5, 10, 4, 6, 6, 1, 1, 0), (16, 16, 13, 13, 11, 9, 6, 2, 8, 3, 2, 0, 0, 18, 9, 7, 12, 18, 6, 6, 3, 6, 5, 4, 2, 0), (15, 15, 15, 6, 10, 8, 5, 4, 5, 2, 2, 3, 0, 21, 14, 7, 8, 15, 14, 5, 3, 4, 8, 3, 2, 0), (16, 8, 23, 17, 10, 5, 4, 12, 9, 2, 2, 0, 0, 13, 21, 15, 9, 19, 4, 8, 7, 3, 5, 3, 1, 0), (18, 13, 22, 10, 6, 5, 4, 4, 3, 4, 2, 2, 0, 16, 16, 9, 5, 12, 6, 7, 6, 7, 6, 3, 1, 0), (15, 14, 15, 14, 16, 6, 9, 4, 5, 2, 6, 2, 0, 16, 9, 20, 7, 14, 8, 5, 4, 7, 8, 2, 1, 0), (19, 14, 22, 15, 14, 7, 7, 6, 8, 4, 3, 1, 0, 21, 20, 11, 8, 13, 4, 8, 5, 5, 5, 4, 0, 0), (16, 17, 13, 15, 9, 6, 3, 8, 6, 1, 6, 0, 0, 16, 21, 16, 11, 13, 6, 10, 5, 8, 3, 1, 2, 0), (20, 13, 13, 17, 12, 4, 7, 9, 6, 4, 4, 6, 0, 17, 14, 7, 7, 10, 10, 6, 2, 7, 2, 4, 1, 0), (15, 21, 13, 18, 11, 10, 5, 3, 5, 4, 2, 2, 0, 16, 12, 7, 15, 15, 4, 10, 3, 5, 4, 4, 1, 0), (15, 13, 17, 8, 9, 7, 5, 2, 6, 1, 5, 0, 0, 20, 9, 14, 3, 17, 6, 10, 8, 3, 6, 1, 0, 0), (12, 16, 13, 17, 15, 11, 11, 4, 11, 6, 2, 0, 0, 15, 14, 7, 11, 10, 0, 7, 4, 6, 2, 3, 1, 0), (20, 14, 12, 15, 13, 4, 8, 5, 3, 4, 1, 3, 0, 14, 16, 15, 13, 7, 6, 12, 8, 10, 10, 3, 0, 0), (17, 16, 16, 15, 16, 8, 6, 4, 4, 3, 4, 1, 0, 21, 16, 12, 14, 19, 7, 3, 7, 6, 5, 0, 1, 0), (17, 12, 15, 12, 12, 6, 6, 6, 6, 2, 2, 0, 0, 12, 17, 10, 9, 15, 5, 2, 7, 8, 8, 3, 2, 0), (13, 10, 14, 16, 12, 10, 7, 2, 8, 2, 3, 1, 0, 20, 8, 11, 11, 14, 4, 7, 3, 5, 1, 4, 0, 0), (19, 22, 10, 17, 7, 6, 10, 5, 6, 2, 4, 1, 0, 11, 16, 11, 4, 13, 7, 8, 3, 10, 1, 5, 3, 0), (9, 16, 18, 8, 7, 8, 4, 5, 2, 2, 5, 2, 0, 19, 16, 14, 10, 17, 7, 9, 2, 4, 5, 2, 0, 0), (16, 21, 13, 7, 13, 9, 8, 4, 4, 2, 5, 0, 0, 15, 20, 13, 5, 11, 16, 7, 3, 5, 6, 3, 1, 0), (18, 10, 14, 11, 10, 8, 11, 3, 12, 1, 2, 2, 0, 16, 12, 10, 8, 9, 8, 7, 4, 7, 4, 2, 1, 0), (14, 19, 9, 16, 19, 7, 6, 8, 8, 1, 5, 1, 0, 13, 14, 5, 5, 11, 6, 3, 5, 6, 6, 2, 3, 0), (11, 13, 10, 10, 18, 4, 4, 2, 3, 1, 1, 1, 0, 13, 2, 13, 7, 11, 4, 6, 3, 3, 4, 4, 3, 0), (16, 17, 11, 12, 11, 6, 6, 4, 7, 2, 5, 0, 0, 15, 14, 14, 19, 14, 2, 5, 1, 7, 3, 4, 1, 0), (15, 13, 15, 23, 10, 6, 3, 4, 3, 0, 1, 3, 0, 14, 18, 11, 8, 11, 11, 6, 1, 10, 3, 2, 0, 0), (17, 11, 14, 17, 16, 4, 5, 4, 5, 3, 1, 0, 0, 17, 15, 13, 6, 9, 5, 2, 1, 4, 6, 1, 0, 0), (18, 14, 16, 11, 10, 4, 4, 4, 6, 2, 2, 1, 0, 14, 11, 9, 4, 9, 8, 7, 3, 9, 2, 5, 0, 0), (13, 19, 11, 15, 9, 6, 8, 4, 5, 4, 1, 4, 0, 11, 19, 8, 5, 13, 4, 8, 7, 9, 2, 3, 2, 0), (10, 11, 13, 17, 12, 5, 9, 4, 10, 4, 3, 0, 0, 17, 15, 10, 9, 9, 10, 7, 3, 8, 6, 1, 1, 0), (18, 12, 15, 16, 7, 5, 1, 2, 8, 2, 3, 4, 0, 18, 18, 9, 3, 18, 8, 8, 1, 8, 3, 5, 0, 0), (21, 15, 17, 14, 14, 5, 5, 8, 6, 2, 0, 2, 0, 15, 12, 8, 12, 15, 3, 5, 2, 5, 4, 4, 2, 0), (18, 13, 15, 9, 10, 8, 4, 7, 5, 4, 3, 0, 0, 14, 8, 11, 5, 11, 9, 4, 2, 4, 8, 5, 2, 0), (16, 12, 12, 20, 10, 6, 6, 4, 1, 2, 2, 2, 0, 17, 11, 5, 9, 12, 8, 5, 3, 4, 5, 1, 0, 0), (22, 16, 9, 14, 7, 4, 5, 4, 10, 3, 2, 1, 0, 12, 9, 10, 12, 11, 10, 3, 4, 3, 5, 2, 1, 0), (19, 13, 20, 11, 12, 6, 8, 8, 12, 1, 1, 0, 0, 18, 17, 6, 3, 11, 5, 7, 2, 9, 6, 2, 2, 0), (19, 15, 11, 21, 8, 7, 4, 1, 6, 2, 2, 0, 0, 21, 14, 10, 6, 21, 6, 7, 3, 6, 3, 4, 0, 0), (15, 15, 12, 24, 14, 6, 8, 3, 10, 3, 3, 2, 0, 24, 12, 11, 7, 10, 7, 7, 5, 6, 4, 2, 0, 0), (13, 15, 14, 9, 18, 8, 4, 4, 6, 7, 2, 0, 0, 14, 11, 5, 9, 16, 11, 5, 6, 5, 4, 1, 3, 0), (12, 7, 15, 14, 18, 5, 4, 6, 7, 2, 6, 3, 0, 19, 16, 6, 6, 19, 2, 7, 4, 4, 8, 2, 2, 0), (11, 8, 8, 9, 9, 5, 3, 4, 6, 2, 2, 1, 0, 16, 19, 12, 5, 7, 11, 5, 6, 6, 3, 2, 1, 0), (10, 13, 11, 13, 14, 4, 4, 2, 10, 3, 1, 1, 0, 16, 14, 9, 6, 13, 3, 2, 3, 6, 5, 0, 0, 0), (20, 11, 10, 14, 12, 5, 7, 3, 7, 3, 4, 1, 0, 12, 10, 12, 1, 15, 4, 8, 6, 5, 7, 1, 2, 0), (11, 10, 11, 10, 15, 5, 5, 3, 7, 1, 1, 0, 0, 16, 12, 8, 10, 15, 9, 4, 5, 2, 4, 6, 2, 0), (12, 12, 13, 11, 11, 9, 6, 6, 6, 2, 3, 1, 0, 17, 12, 9, 9, 15, 6, 5, 5, 12, 6, 1, 0, 0), (16, 18, 12, 18, 8, 7, 2, 4, 9, 1, 1, 5, 0, 15, 17, 13, 4, 16, 2, 6, 4, 4, 3, 3, 3, 0), (17, 11, 12, 11, 13, 8, 6, 3, 5, 5, 3, 1, 0, 19, 5, 9, 6, 12, 9, 5, 5, 3, 10, 1, 0, 0), (13, 15, 12, 12, 11, 9, 4, 3, 4, 1, 4, 1, 0, 16, 17, 12, 2, 16, 6, 6, 3, 6, 7, 2, 0, 0), (11, 13, 12, 14, 7, 9, 7, 8, 7, 1, 2, 1, 0, 16, 11, 8, 5, 10, 7, 4, 4, 7, 1, 2, 1, 0), (11, 8, 11, 17, 16, 5, 6, 3, 7, 1, 2, 2, 0, 11, 13, 6, 4, 13, 6, 3, 2, 6, 10, 1, 1, 0), (17, 10, 9, 15, 15, 4, 5, 4, 12, 4, 2, 1, 0, 12, 14, 9, 7, 16, 3, 6, 4, 4, 1, 6, 1, 0), (26, 11, 14, 21, 13, 5, 5, 5, 3, 1, 5, 1, 0, 17, 10, 7, 6, 8, 8, 8, 3, 5, 2, 2, 1, 0), (14, 14, 21, 20, 21, 5, 1, 4, 2, 2, 1, 3, 0, 12, 14, 12, 9, 15, 3, 5, 3, 5, 5, 3, 0, 0), (19, 16, 19, 14, 14, 8, 2, 1, 7, 2, 2, 3, 0, 20, 10, 7, 9, 11, 6, 4, 4, 3, 5, 1, 1, 0), (20, 12, 10, 9, 15, 2, 6, 4, 8, 5, 2, 1, 0, 20, 8, 7, 8, 11, 8, 5, 3, 6, 8, 2, 2, 0), (11, 13, 17, 14, 16, 9, 6, 4, 7, 3, 2, 0, 0, 14, 16, 10, 6, 11, 7, 4, 2, 6, 2, 2, 2, 0), (13, 13, 13, 10, 13, 3, 3, 1, 4, 3, 5, 1, 0, 10, 15, 6, 9, 11, 1, 7, 3, 6, 3, 2, 0, 0), (10, 14, 17, 12, 14, 8, 5, 2, 5, 4, 1, 1, 0, 17, 10, 17, 9, 9, 10, 3, 5, 8, 3, 2, 0, 0), (14, 7, 14, 14, 17, 8, 5, 6, 3, 3, 1, 0, 0, 10, 11, 10, 8, 15, 6, 5, 7, 9, 6, 3, 1, 0), (11, 15, 15, 12, 13, 5, 3, 5, 7, 2, 1, 1, 0, 18, 8, 15, 11, 7, 8, 1, 4, 6, 5, 2, 1, 0), (17, 6, 15, 11, 12, 5, 5, 2, 5, 5, 2, 1, 0, 24, 7, 10, 6, 16, 2, 6, 9, 3, 4, 1, 1, 0), (17, 16, 17, 13, 7, 5, 4, 7, 4, 0, 3, 1, 0, 15, 10, 5, 7, 9, 1, 3, 5, 4, 3, 3, 1, 0), (11, 9, 14, 14, 15, 3, 3, 2, 6, 2, 1, 0, 0, 17, 11, 8, 9, 12, 9, 1, 1, 4, 6, 1, 2, 0), (12, 12, 14, 7, 14, 5, 3, 2, 7, 2, 2, 1, 0, 12, 11, 12, 7, 6, 4, 2, 0, 5, 5, 1, 0, 0), (11, 9, 14, 14, 15, 9, 9, 3, 6, 3, 0, 1, 0, 13, 7, 4, 6, 14, 6, 10, 4, 5, 6, 0, 0, 0), (8, 14, 19, 15, 17, 2, 1, 4, 5, 2, 2, 1, 0, 18, 11, 13, 11, 6, 10, 3, 4, 8, 2, 2, 0, 0), (14, 8, 12, 16, 8, 2, 5, 2, 6, 4, 1, 0, 0, 22, 11, 7, 8, 12, 9, 5, 4, 6, 0, 1, 0, 0), (17, 13, 10, 18, 10, 4, 9, 3, 5, 3, 0, 4, 0, 23, 12, 10, 7, 20, 9, 3, 7, 7, 6, 1, 0, 0), (12, 9, 9, 7, 10, 2, 6, 3, 6, 1, 2, 1, 0, 9, 16, 4, 10, 13, 2, 1, 5, 6, 2, 3, 0, 0), (14, 11, 6, 11, 15, 3, 5, 3, 8, 1, 2, 2, 0, 12, 9, 8, 7, 5, 7, 9, 5, 7, 4, 4, 1, 0), (13, 11, 13, 12, 14, 6, 5, 5, 3, 2, 1, 1, 0, 20, 12, 12, 6, 11, 13, 3, 6, 8, 1, 5, 2, 0), (18, 7, 12, 12, 13, 2, 3, 5, 7, 0, 1, 2, 0, 15, 11, 13, 12, 15, 6, 6, 1, 6, 4, 3, 1, 0), (8, 8, 12, 17, 11, 3, 7, 2, 2, 3, 0, 0, 0, 10, 7, 9, 10, 14, 6, 1, 3, 5, 4, 2, 1, 0), (13, 10, 17, 10, 9, 5, 4, 1, 4, 3, 2, 2, 0, 14, 10, 8, 11, 15, 7, 6, 3, 5, 2, 0, 0, 0), (22, 6, 13, 10, 11, 4, 9, 5, 10, 2, 3, 0, 0, 11, 15, 4, 7, 12, 13, 4, 2, 3, 5, 2, 2, 0), (8, 18, 15, 11, 13, 6, 4, 6, 11, 3, 0, 3, 0, 13, 13, 10, 11, 7, 7, 3, 5, 4, 2, 1, 0, 0), (14, 17, 10, 8, 11, 2, 8, 5, 7, 2, 3, 3, 0, 13, 8, 11, 8, 11, 4, 2, 3, 3, 3, 0, 1, 0), (7, 10, 11, 14, 7, 15, 7, 3, 3, 2, 0, 0, 0, 15, 6, 10, 4, 9, 3, 3, 6, 6, 6, 1, 1, 0), (13, 11, 9, 6, 10, 2, 0, 4, 4, 4, 2, 0, 0, 15, 9, 10, 7, 11, 3, 5, 1, 10, 1, 2, 0, 0), (15, 7, 11, 9, 10, 2, 2, 3, 4, 4, 1, 0, 0, 14, 14, 5, 3, 11, 6, 6, 4, 4, 5, 2, 2, 0), (6, 11, 14, 15, 9, 7, 4, 2, 0, 0, 3, 0, 0, 7, 12, 8, 8, 12, 3, 5, 4, 4, 1, 1, 1, 0), (10, 8, 13, 7, 11, 3, 4, 7, 5, 2, 3, 0, 0, 18, 13, 4, 8, 8, 3, 3, 3, 3, 6, 5, 2, 0), (14, 16, 13, 12, 13, 3, 0, 3, 6, 1, 2, 1, 0, 10, 7, 5, 7, 8, 5, 1, 3, 8, 5, 1, 1, 0), (14, 12, 18, 10, 12, 4, 2, 2, 7, 0, 1, 0, 0, 11, 4, 12, 7, 15, 6, 5, 1, 4, 5, 4, 2, 0), (11, 9, 14, 12, 6, 6, 2, 4, 8, 2, 4, 0, 0, 17, 12, 12, 5, 9, 8, 5, 2, 6, 9, 4, 0, 0), (15, 9, 10, 16, 7, 6, 7, 2, 2, 3, 2, 1, 0, 20, 11, 13, 9, 12, 7, 1, 10, 10, 3, 2, 2, 0), (17, 11, 7, 16, 14, 6, 4, 2, 6, 0, 1, 2, 0, 14, 12, 9, 7, 17, 5, 4, 2, 4, 5, 3, 0, 0), (12, 11, 12, 13, 8, 5, 5, 5, 6, 2, 1, 0, 0, 14, 11, 6, 9, 11, 7, 4, 4, 6, 5, 3, 1, 0), (9, 7, 9, 7, 6, 5, 4, 3, 6, 2, 1, 0, 0, 20, 8, 11, 12, 10, 5, 4, 5, 6, 4, 1, 1, 0), (14, 9, 10, 13, 8, 1, 4, 2, 7, 4, 1, 0, 0, 17, 15, 6, 6, 12, 5, 3, 4, 5, 3, 3, 0, 0), (12, 4, 8, 16, 10, 4, 5, 4, 5, 1, 1, 1, 0, 11, 7, 7, 6, 13, 3, 2, 3, 3, 3, 2, 2, 0), (13, 11, 17, 12, 8, 3, 5, 3, 4, 3, 4, 2, 0, 16, 8, 11, 4, 13, 4, 4, 3, 5, 3, 2, 1, 0), (10, 7, 19, 10, 8, 4, 7, 4, 6, 1, 3, 0, 0, 13, 10, 10, 8, 12, 5, 3, 4, 9, 3, 2, 0, 0), (16, 10, 7, 11, 11, 3, 5, 9, 3, 2, 2, 0, 0, 16, 5, 9, 6, 9, 2, 1, 1, 5, 6, 6, 0, 0), (11, 12, 6, 12, 9, 2, 3, 5, 5, 2, 1, 2, 0, 7, 9, 3, 4, 12, 6, 2, 4, 7, 5, 5, 0, 0), (11, 6, 10, 9, 8, 3, 3, 3, 7, 4, 1, 0, 0, 11, 14, 2, 11, 12, 4, 4, 8, 5, 4, 1, 0, 0), (14, 11, 7, 12, 12, 5, 7, 8, 7, 3, 2, 1, 0, 9, 15, 14, 4, 2, 7, 4, 6, 1, 5, 6, 2, 0), (11, 9, 10, 9, 14, 8, 5, 3, 3, 1, 1, 1, 0, 15, 11, 3, 6, 10, 4, 6, 3, 5, 6, 2, 0, 0), (14, 7, 14, 15, 8, 9, 5, 2, 5, 1, 4, 2, 0, 7, 10, 8, 3, 10, 5, 5, 4, 1, 5, 0, 1, 0), (10, 11, 13, 14, 6, 13, 3, 1, 7, 3, 0, 2, 0, 15, 10, 13, 5, 18, 5, 4, 2, 7, 4, 8, 1, 0), (14, 9, 7, 12, 7, 7, 3, 4, 7, 3, 3, 1, 0, 16, 11, 5, 4, 11, 8, 2, 3, 5, 9, 2, 0, 0), (11, 10, 9, 13, 14, 4, 3, 2, 2, 5, 0, 0, 0, 19, 6, 5, 5, 10, 5, 3, 2, 6, 7, 4, 2, 0), (8, 6, 11, 10, 13, 7, 3, 5, 6, 4, 0, 1, 0, 13, 10, 2, 3, 8, 8, 5, 4, 6, 2, 6, 0, 0), (6, 8, 15, 12, 9, 8, 3, 3, 8, 2, 1, 1, 0, 15, 7, 11, 3, 14, 6, 3, 4, 6, 1, 3, 1, 0), (12, 9, 14, 5, 10, 2, 3, 6, 2, 2, 1, 1, 0, 5, 13, 11, 2, 9, 4, 4, 1, 5, 2, 0, 0, 0), (8, 7, 8, 18, 5, 4, 3, 5, 1, 1, 0, 2, 0, 14, 6, 9, 3, 8, 5, 3, 3, 3, 2, 3, 1, 0), (13, 11, 7, 7, 10, 3, 5, 5, 5, 1, 1, 0, 0, 3, 8, 7, 5, 11, 3, 1, 3, 6, 6, 1, 1, 0), (16, 16, 6, 15, 7, 3, 2, 3, 3, 1, 0, 3, 0, 14, 19, 7, 7, 10, 3, 1, 5, 3, 1, 1, 2, 0), (13, 6, 8, 13, 16, 2, 4, 9, 4, 0, 1, 0, 0, 8, 8, 4, 4, 7, 5, 2, 5, 5, 5, 1, 0, 0), (10, 10, 9, 6, 7, 2, 1, 2, 5, 2, 3, 1, 0, 10, 12, 12, 6, 3, 4, 4, 5, 5, 1, 1, 0, 0), (11, 6, 6, 10, 12, 2, 1, 4, 6, 2, 2, 2, 0, 14, 13, 7, 7, 10, 2, 3, 5, 7, 4, 0, 0, 0), (17, 3, 5, 9, 7, 4, 2, 2, 5, 2, 0, 0, 0, 16, 9, 7, 5, 11, 4, 0, 4, 5, 7, 0, 0, 0), (10, 8, 8, 11, 6, 4, 2, 3, 5, 3, 1, 1, 0, 8, 10, 3, 4, 12, 3, 5, 2, 1, 3, 2, 0, 0), (6, 4, 4, 4, 5, 4, 3, 2, 2, 0, 0, 1, 0, 7, 6, 6, 2, 9, 4, 2, 4, 5, 3, 1, 0, 0), (8, 6, 14, 3, 8, 6, 2, 2, 5, 0, 1, 1, 0, 12, 5, 4, 3, 10, 1, 2, 2, 0, 5, 2, 1, 0), (12, 7, 11, 8, 6, 6, 4, 1, 4, 1, 0, 0, 0, 9, 10, 5, 2, 11, 3, 3, 2, 5, 2, 0, 0, 0), (6, 6, 9, 5, 5, 3, 3, 0, 3, 2, 0, 0, 0, 9, 9, 2, 2, 11, 2, 6, 4, 7, 2, 2, 1, 0), (4, 6, 6, 4, 9, 3, 3, 1, 6, 1, 1, 0, 0, 7, 7, 7, 4, 9, 6, 0, 2, 4, 2, 2, 1, 0), (7, 4, 10, 6, 4, 3, 2, 1, 4, 0, 0, 0, 0, 7, 15, 5, 2, 6, 2, 4, 1, 4, 3, 4, 0, 0), (7, 1, 2, 4, 4, 0, 2, 2, 2, 0, 0, 0, 0, 9, 6, 2, 6, 3, 3, 2, 3, 2, 0, 2, 0, 0), (3, 2, 5, 3, 3, 0, 5, 3, 4, 0, 2, 0, 0, 3, 4, 5, 6, 4, 3, 5, 1, 2, 1, 5, 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)) station_arriving_intensity = ((8.033384925394829, 8.840461695509067, 8.33805316738001, 9.943468438181492, 8.887496972175379, 5.021847891259743, 6.6336569845982645, 7.445081876767077, 9.744158499468812, 6.332824024835792, 6.728424262216965, 7.836664125289878, 8.134208340125381), (8.566923443231959, 9.424097110631614, 8.888554546128244, 10.600230805242587, 9.475984539958779, 5.353573734468089, 7.07115030602191, 7.9352219566491335, 10.387592522132655, 6.75036910764344, 7.172953817529811, 8.353946657302968, 8.671666635903767), (9.09875681436757, 10.005416273425567, 9.436867656875862, 11.254380327463672, 10.062340757999591, 5.683976183219912, 7.506909612737127, 8.423400396647072, 11.028458891004078, 7.166262040032874, 7.615717038042101, 8.869172243284888, 9.206983725135505), (9.6268124690345, 10.582112803098315, 9.980817390911767, 11.903322252051318, 10.644258681603043, 6.011744996136181, 7.939205826636729, 8.907681851991212, 11.664216257473749, 7.578852317481889, 8.054957458923813, 9.380297095888738, 9.738036490006762), (10.149017837465571, 11.15188031885724, 10.518228639524859, 12.544461826212112, 11.219431366074389, 6.335569931837869, 8.366309869613534, 9.386130977911865, 12.292323272932332, 7.986489435468286, 8.48891861534492, 9.885277427767623, 10.262701812703709), (10.663300349893618, 11.712412439909741, 11.04692629400403, 13.17520429715263, 11.785551866718848, 6.654140748945943, 8.786492663560358, 9.856812429639348, 12.910238588770495, 8.387522889469862, 8.915844042475412, 10.382069451574637, 10.778856575412524), (11.167587436551466, 12.261402785463202, 11.564735245638186, 13.792954912079445, 12.34031323884167, 6.9661472060813825, 9.19802513037002, 10.317790862403982, 13.515420856378904, 8.780302174964413, 9.333977275485251, 10.868629379962893, 11.284377660319372), (11.65980652767195, 12.79654497472501, 12.069480385716217, 14.39511891819914, 12.881408537748086, 7.270279061865153, 9.599178191935335, 10.767130931436084, 14.105328727148231, 9.16317678742974, 9.74156184954443, 11.342913425585486, 11.777141949610431), (12.137885053487896, 13.31553262690256, 12.558986605527034, 14.979101562718284, 13.406530818743338, 7.565226074918224, 9.988222770149116, 11.20289729196596, 14.67742085246913, 9.53449622234364, 10.136841299822914, 11.802877801095525, 12.255026325471867), (12.599750444232136, 13.816059361203237, 13.031078796359527, 15.54230809284347, 13.913373137132655, 7.849678003861574, 10.363429786904192, 11.623154599223941, 15.229155883732279, 9.892609975183907, 10.518059161490685, 12.246478719146102, 12.71590767008986), (13.043330130137491, 14.295818796834425, 13.483581849502599, 16.08214375578126, 14.399628548221282, 8.122324607316171, 10.723070164093368, 12.025967508440338, 15.757992472328343, 10.235867541428343, 10.883458969717719, 12.671672392390324, 13.157662865650577), (13.466551541436809, 14.752504553003531, 13.914320656245145, 16.596013798738237, 14.862990107314454, 8.38185564390299, 11.065414823609466, 12.409400674845465, 16.26138926964799, 10.56261841655475, 11.231284259673998, 13.076415033481297, 13.57816879434018), (13.8673421083629, 15.183810248917917, 14.321120107876064, 17.08132346892098, 15.301150869717404, 8.626960872242991, 11.388734687345298, 12.771518753669634, 16.736804927081888, 10.871212096040916, 11.559778566529495, 13.45866285507211, 13.975302338344855), (14.243629261148602, 15.587429503784993, 14.701805095684259, 17.53547801353607, 15.711803890735363, 8.856330050957158, 11.69130067719369, 13.11038640014317, 17.181698096020693, 11.159998075364648, 11.86718542545419, 13.816372069815873, 14.346940379850777), (14.593340430026746, 15.961055936812143, 15.054200510958635, 17.95588267979007, 16.092642225673583, 9.068652938666455, 11.971383715047459, 13.424068269496395, 17.593527427855076, 11.427325850003735, 12.151748371618055, 14.147498890365696, 14.690959801044102), (14.914403045230168, 16.30238316720675, 15.376131244988068, 18.339942714889578, 16.441358929837293, 9.26261929399186, 12.227254722799401, 13.71062901695961, 17.96975157397571, 11.671544915435986, 12.411710940191071, 14.449999529374674, 15.00523748411101), (15.204744536991681, 16.609104814176213, 15.66542218906148, 18.685063366041145, 16.755647058531732, 9.436918875554335, 12.457184622342362, 13.968133297763139, 18.307829185773258, 11.891004767139194, 12.64531666634322, 14.721830199495905, 15.287650311237673), (15.46229233554412, 16.878914496927916, 15.919898234467764, 18.98864988045138, 17.033199667062142, 9.590241441974857, 12.659444335569138, 14.19464576713731, 18.605218914638375, 12.084054900591148, 12.850809085244478, 14.960947113382488, 15.536075164610265), (15.684973871120327, 17.10950583466924, 16.137384272495808, 19.248107505326846, 17.271709810733743, 9.721276751874406, 12.832304784372562, 14.388231080312417, 18.859379411961754, 12.249044811269659, 13.026431732064815, 15.165306483687544, 15.748388926414954), (15.870716573953118, 17.29857244660759, 16.315705194434525, 19.460841487874106, 17.468870544851786, 9.828714563873934, 12.974036890645431, 14.546953892518793, 19.067769329134048, 12.384323994652526, 13.170428141974206, 15.332864523064154, 15.922468478837914), (16.01744787427533, 17.44380795195034, 16.452685891572806, 19.624257075299766, 17.62237492472151, 9.91124463659443, 13.08291157628058, 14.668878858986748, 19.22784731754592, 12.488241946217535, 13.28104185014264, 15.461577444165426, 16.05619070406532), (16.123095202319785, 17.542905969904893, 16.54615125519955, 19.73575951481038, 17.729916005648143, 9.967556728656858, 13.157199763170816, 14.752070634946598, 19.337072028588036, 12.559148161442488, 13.356516391740096, 15.54940145964447, 16.147432484283325), (16.18558598831933, 17.59356011967863, 16.593926176603656, 19.79275405361254, 17.78918684293692, 9.996340598682188, 13.19517237320896, 14.794593875628664, 19.392902113651065, 12.595392135805188, 13.395095301936545, 15.594292782154383, 16.194070701678125), (16.208629381348224, 17.599557750342935, 16.599877091906723, 19.799889300411525, 17.804371289652156, 10.0, 13.199686403614942, 14.79919012345679, 19.399881975308645, 12.599667636031093, 13.399932859458785, 15.599836122542294, 16.2), (16.225619860854646, 17.59605925925926, 16.598903703703705, 19.799011111111113, 17.812972181783763, 10.0, 13.197206100217867, 14.7928, 19.398946666666667, 12.59704098765432, 13.39939932659933, 15.598538271604937, 16.2), (16.242251568338528, 17.589163237311386, 16.59698216735254, 19.797273662551444, 17.821383912951205, 10.0, 13.192318244170096, 14.78024691358025, 19.3970987654321, 12.591870141746686, 13.39834143908218, 15.595976223136716, 16.2), (16.258523230476854, 17.578975034293556, 16.594138820301787, 19.79469670781893, 17.82960618947377, 10.0, 13.185098749293955, 14.76176790123457, 19.39436197530864, 12.58424113397348, 13.396768774161368, 15.592185093735715, 16.2), (16.27443357394662, 17.5656, 16.5904, 19.7913, 17.837638717670742, 10.0, 13.175623529411766, 14.7376, 19.39076, 12.57424, 13.39469090909091, 15.587200000000003, 16.2), (16.2899813254248, 17.549143484224967, 16.585792043895747, 19.787103292181072, 17.845481203861443, 10.0, 13.163968498345842, 14.707980246913582, 19.386316543209876, 12.561952775491541, 13.39211742112483, 15.581056058527665, 16.2), (16.3051652115884, 17.52971083676269, 16.580341289437587, 19.78212633744856, 17.853133354365152, 10.0, 13.150209569918506, 14.673145679012345, 19.381055308641976, 12.547465496113398, 13.389057887517147, 15.57378838591678, 16.2), (16.319983959114396, 17.50740740740741, 16.574074074074073, 19.77638888888889, 17.860594875501178, 10.0, 13.13442265795207, 14.633333333333333, 19.375, 12.530864197530866, 13.385521885521886, 15.56543209876543, 16.2), (16.334436294679772, 17.482338545953365, 16.567016735253773, 19.76991069958848, 17.867865473588814, 10.0, 13.116683676268863, 14.588780246913581, 19.368174320987656, 12.512234915409238, 13.381518992393067, 15.556022313671699, 16.2), (16.34852094496153, 17.45460960219479, 16.55919561042524, 19.762711522633747, 17.874944854947355, 10.0, 13.097068538691198, 14.539723456790126, 19.360601975308644, 12.49166368541381, 13.377058785384712, 15.545594147233656, 16.2), (16.362236636636634, 17.424325925925924, 16.55063703703704, 19.75481111111111, 17.8818327258961, 10.0, 13.075653159041394, 14.486400000000001, 19.352306666666667, 12.469236543209878, 13.372150841750841, 15.534182716049381, 16.2), (16.375582096382097, 17.391592866941014, 16.541367352537723, 19.746229218106997, 17.888528792754347, 10.0, 13.052513451141776, 14.429046913580246, 19.343312098765438, 12.445039524462736, 13.36680473874548, 15.521823136716964, 16.2), (16.388556050874893, 17.356515775034293, 16.53141289437586, 19.736985596707818, 17.895032761841392, 10.0, 13.027725328814654, 14.367901234567903, 19.333641975308645, 12.419158664837678, 13.361030053622645, 15.508550525834478, 16.2), (16.40115722679201, 17.3192, 16.5208, 19.7271, 17.901344339476537, 10.0, 13.001364705882352, 14.303200000000002, 19.32332, 12.391680000000001, 13.354836363636364, 15.494400000000002, 16.2), (16.41338435081044, 17.27975089163237, 16.50955500685871, 19.71659218106996, 17.907463231979076, 10.0, 12.97350749616719, 14.23518024691358, 19.31236987654321, 12.362689565615, 13.348233246040657, 15.479406675811616, 16.2), (16.425236149607162, 17.238273799725654, 16.49770425240055, 19.70548189300412, 17.913389145668305, 10.0, 12.944229613491487, 14.164079012345681, 19.300815308641976, 12.332273397347967, 13.341230278089538, 15.4636056698674, 16.2), (16.436711349859177, 17.194874074074075, 16.485274074074077, 19.69378888888889, 17.919121786863524, 10.0, 12.913606971677561, 14.090133333333334, 19.288680000000003, 12.300517530864198, 13.333837037037037, 15.447032098765431, 16.2), (16.44780867824346, 17.149657064471878, 16.472290809327845, 19.6815329218107, 17.924660861884032, 10.0, 12.88171548454773, 14.013580246913584, 19.27598765432099, 12.267508001828991, 13.326063100137175, 15.429721079103798, 16.2), (16.458526861437004, 17.102728120713305, 16.458780795610426, 19.66873374485597, 17.930006077049125, 10.0, 12.848631065924312, 13.934656790123459, 19.262761975308642, 12.233330845907636, 13.317918044643973, 15.411707727480568, 16.2), (16.4688646261168, 17.054192592592596, 16.444770370370374, 19.655411111111114, 17.935157138678093, 10.0, 12.814429629629629, 13.8536, 19.24902666666667, 12.198072098765433, 13.30941144781145, 15.393027160493828, 16.2), (16.47882069895983, 17.00415582990398, 16.430285871056242, 19.641584773662554, 17.940113753090245, 10.0, 12.779187089486001, 13.770646913580249, 19.234805432098767, 12.161817796067673, 13.300552886893627, 15.373714494741657, 16.2), (16.488393806643085, 16.9527231824417, 16.4153536351166, 19.62727448559671, 17.944875626604873, 10.0, 12.742979359315743, 13.686034567901238, 19.220121975308643, 12.124653973479653, 13.291351939144532, 15.353804846822133, 16.2), (16.497582675843546, 16.900000000000002, 16.400000000000002, 19.6125, 17.949442465541274, 10.0, 12.705882352941178, 13.600000000000001, 19.205, 12.086666666666668, 13.281818181818181, 15.333333333333332, 16.2), (16.50638603323821, 16.846091632373113, 16.384251303155008, 19.59728106995885, 17.953813976218747, 10.0, 12.667971984184621, 13.512780246913582, 19.189463209876543, 12.04794191129401, 13.271961192168598, 15.312335070873344, 16.2), (16.514802605504055, 16.79110342935528, 16.36813388203018, 19.581637448559672, 17.957989864956588, 10.0, 12.629324166868395, 13.424612345679012, 19.173535308641977, 12.008565743026978, 13.261790547449806, 15.29084517604024, 16.2), (16.522831119318074, 16.735140740740743, 16.351674074074076, 19.565588888888893, 17.961969838074097, 10.0, 12.590014814814815, 13.335733333333335, 19.15724, 11.968624197530865, 13.251315824915824, 15.268898765432098, 16.2), (16.53047030135726, 16.67830891632373, 16.334898216735255, 19.549155144032923, 17.965753601890572, 10.0, 12.550119841846204, 13.246380246913581, 19.14060098765432, 11.928203310470966, 13.240546601820677, 15.246530955647007, 16.2), (16.537718878298588, 16.620713305898494, 16.31783264746228, 19.53235596707819, 17.969340862725304, 10.0, 12.50971516178488, 13.15679012345679, 19.12364197530864, 11.887389117512575, 13.22949245541838, 15.223776863283039, 16.2), (16.544575576819057, 16.56245925925926, 16.300503703703704, 19.515211111111114, 17.9727313268976, 10.0, 12.46887668845316, 13.0672, 19.10638666666667, 11.846267654320988, 13.218162962962964, 15.200671604938274, 16.2), (16.551039123595647, 16.503652126200276, 16.282937722908095, 19.497740329218107, 17.975924700726743, 10.0, 12.427680335673365, 12.977846913580246, 19.0888587654321, 11.8049249565615, 13.206567701708444, 15.177250297210794, 16.2), (16.55710824530535, 16.444397256515778, 16.26516104252401, 19.479963374485596, 17.978920690532046, 10.0, 12.386202017267813, 12.888967901234569, 19.071081975308644, 11.763447059899406, 13.194716248908842, 15.153548056698675, 16.2), (16.562781668625146, 16.384800000000002, 16.2472, 19.4619, 17.981719002632804, 10.0, 12.344517647058824, 12.800799999999999, 19.05308, 11.72192, 13.18261818181818, 15.1296, 16.2), (16.568058120232035, 16.324965706447188, 16.229080932784637, 19.443569958847736, 17.984319343348304, 10.0, 12.302703138868717, 12.71358024691358, 19.034876543209876, 11.68042981252858, 13.170283077690485, 15.10544124371285, 16.2), (16.572936326802996, 16.264999725651577, 16.210830178326475, 19.424993004115226, 17.986721418997856, 10.0, 12.26083440651981, 12.627545679012346, 19.016495308641975, 11.639062533150437, 13.157720513779774, 15.0811069044353, 16.2), (16.577415015015013, 16.205007407407408, 16.192474074074077, 19.40618888888889, 17.988924935900748, 10.0, 12.218987363834422, 12.542933333333336, 18.997960000000003, 11.597904197530866, 13.144940067340068, 15.056632098765432, 16.2), (16.581492911545087, 16.145094101508917, 16.174038957475997, 19.387177366255145, 17.99092960037628, 10.0, 12.177237924634875, 12.459980246913581, 18.979294320987655, 11.557040841335164, 13.131951315625393, 15.032051943301326, 16.2), (16.585168743070195, 16.085365157750342, 16.155551165980796, 19.367978189300413, 17.992735118743752, 10.0, 12.135662002743485, 12.378923456790124, 18.960521975308644, 11.516558500228626, 13.11876383588976, 15.007401554641062, 16.2), (16.588441236267325, 16.02592592592593, 16.137037037037036, 19.34861111111111, 17.99434119732246, 10.0, 12.094335511982571, 12.3, 18.94166666666667, 11.476543209876544, 13.105387205387206, 14.982716049382717, 16.2), (16.591309117813463, 15.966881755829906, 16.11852290809328, 19.329095884773665, 17.995747542431697, 10.0, 12.053334366174454, 12.223446913580247, 18.922752098765432, 11.437081005944217, 13.091831001371743, 14.958030544124373, 16.2), (16.593771114385607, 15.908337997256517, 16.100035116598082, 19.30945226337449, 17.996953860390775, 10.0, 12.01273447914145, 12.149501234567902, 18.903801975308642, 11.398257924096939, 13.078104801097394, 14.933380155464107, 16.2), (16.595825952660736, 15.8504, 16.0816, 19.289700000000003, 17.99795985751897, 10.0, 11.972611764705881, 12.078400000000002, 18.88484, 11.36016, 13.064218181818184, 14.9088, 16.2), (16.597472359315837, 15.793173113854596, 16.0632438957476, 19.26985884773663, 17.998765240135597, 10.0, 11.933042136690068, 12.010380246913583, 18.86588987654321, 11.322873269318702, 13.050180720788127, 14.884325194330135, 16.2), (16.5987090610279, 15.73676268861454, 16.04499314128944, 19.249948559670784, 17.999369714559947, 10.0, 11.894101508916325, 11.945679012345678, 18.846975308641976, 11.286483767718336, 13.036001995261257, 14.859990855052581, 16.2), (16.599534784473914, 15.681274074074077, 16.026874074074076, 19.22998888888889, 17.999772987111317, 10.0, 11.855865795206972, 11.884533333333335, 18.828120000000002, 11.251077530864197, 13.021691582491583, 14.835832098765435, 16.2), (16.59994825633087, 15.626812620027435, 16.00891303155007, 19.209999588477366, 17.99997476410901, 10.0, 11.81841090938433, 11.827180246913583, 18.809347654320987, 11.216740594421584, 13.007259059733137, 14.811884042066758, 16.2), (16.59966658316932, 15.573197822912517, 15.991049519890261, 19.189826784755773, 17.999804728475752, 9.99981441853376, 11.781624311727434, 11.77335016003658, 18.790540557841794, 11.183392706635466, 12.992457581664603, 14.788048035039589, 16.19980024005487), (16.597026731078905, 15.51879283154122, 15.97278148148148, 19.168453623188405, 17.99825708061002, 9.998347325102882, 11.744429090154583, 11.720158024691358, 18.770876543209877, 11.150090225127087, 12.975780542264753, 14.76355035737492, 16.198217592592595), (16.59181726009423, 15.463347935749368, 15.954029492455417, 19.14573939881911, 17.995198902606308, 9.995458009449779, 11.706656215298192, 11.667123914037496, 18.750244627343395, 11.116671239140375, 12.957038218441728, 14.738276418068494, 16.195091735253776), (16.584111457028687, 15.406896269746449, 15.93480013717421, 19.12171760601181, 17.990668926006617, 9.991193293705228, 11.668322655262381, 11.61426538637403, 18.728675537265662, 11.083136574948224, 12.936299793254179, 14.712244699540344, 16.190463820301783), (16.573982608695655, 15.349470967741935, 15.915099999999999, 19.096421739130435, 17.98470588235294, 9.985600000000002, 11.62944537815126, 11.5616, 18.706200000000003, 11.04948705882353, 12.913634449760767, 14.685473684210528, 16.184375), (16.561504001908514, 15.291105163945307, 15.894935665294923, 19.069885292538917, 17.977348503187283, 9.978724950464867, 11.590041352068948, 11.50914531321445, 18.682848742569732, 11.01572351703919, 12.889111371020142, 14.65798185449907, 16.1768664266118), (16.546748923480646, 15.231831992566043, 15.874313717421124, 19.04214176060118, 17.96863552005164, 9.970614967230606, 11.550127545119556, 11.456918884316416, 18.658652491998172, 10.9818467758681, 12.86279974009097, 14.629787692826028, 16.167979252400553), (16.52979066022544, 15.171684587813619, 15.85324074074074, 19.01322463768116, 17.95860566448802, 9.961316872427986, 11.509720925407201, 11.404938271604939, 18.63364197530864, 10.947857661583152, 12.834768740031897, 14.600909681611435, 16.157754629629633), (16.510702498956285, 15.11069608389752, 15.831723319615913, 18.98316741814278, 17.94729766803841, 9.950877488187778, 11.468838461035993, 11.353221033379059, 18.607847919524463, 10.913757000457247, 12.805087553901586, 14.571366303275333, 16.146233710562413), (16.48955772648655, 15.048899615027217, 15.809768038408777, 18.95200359634997, 17.934750262244815, 9.939343636640757, 11.427497120110047, 11.301784727937816, 18.581301051668955, 10.87954561876328, 12.7738253647587, 14.54117604023777, 16.13345764746228), (16.46642962962963, 14.98632831541219, 15.787381481481482, 18.919766666666668, 17.92100217864924, 9.926762139917695, 11.38571387073348, 11.250646913580248, 18.55403209876543, 10.845224342774147, 12.741051355661883, 14.510357374918781, 16.119467592592596), (16.441391495198904, 14.923015319261916, 15.76457023319616, 18.88649012345679, 17.906092148793675, 9.913179820149367, 11.343505681010402, 11.199825148605397, 18.52607178783722, 10.810793998762742, 12.706834709669796, 14.478928789738408, 16.104304698216733), (16.414516610007755, 14.858993760785877, 15.74134087791495, 18.852207461084273, 17.890058904220126, 9.898643499466544, 11.30088951904493, 11.149336991312301, 18.497450845907636, 10.776255413001962, 12.671244609841102, 14.446908767116696, 16.08801011659808), (16.385878260869568, 14.79429677419355, 15.7177, 18.816952173913048, 17.872941176470587, 9.8832, 11.257882352941177, 11.099200000000002, 18.4682, 10.741609411764706, 12.63435023923445, 14.414315789473685, 16.070625), (16.355549734597723, 14.728957493694413, 15.693654183813445, 18.780757756307032, 17.854777697087066, 9.866896143880508, 11.214501150803258, 11.049431732967536, 18.43834997713763, 10.706856821323866, 12.596220780908501, 14.381168339229419, 16.052190500685874), (16.323604318005607, 14.663009053497943, 15.669210013717422, 18.743657702630166, 17.835607197611555, 9.849778753238837, 11.170762880735285, 11.000049748513947, 18.40793150434385, 10.671998467952339, 12.55692541792191, 14.34748489880394, 16.03274777091907), (16.290115297906603, 14.59648458781362, 15.644374074074074, 18.70568550724638, 17.815468409586057, 9.831894650205761, 11.126684510841374, 10.95107160493827, 18.376975308641974, 10.637035177923023, 12.516533333333333, 14.313283950617285, 16.012337962962963), (16.255155961114095, 14.529417230850923, 15.61915294924554, 18.666874664519593, 17.794400064552573, 9.813290656912057, 11.08228300922564, 10.902514860539554, 18.345512117055325, 10.60196777750881, 12.47511371020143, 14.2785839770895, 15.991002229080934), (16.21879959444146, 14.46184011681933, 15.593553223593966, 18.627258668813745, 17.772440894053094, 9.794013595488494, 11.037575343992193, 10.854397073616827, 18.313572656607228, 10.566797092982599, 12.432735731584856, 14.24340346064063, 15.968781721536352), (16.18111948470209, 14.393786379928315, 15.567581481481481, 18.586871014492754, 17.749629629629634, 9.774110288065843, 10.99257848324515, 10.806735802469136, 18.28118765432099, 10.531523950617284, 12.389468580542264, 14.207760883690709, 15.945717592592594), (16.142188918709373, 14.325289154387361, 15.541244307270233, 18.54574519592056, 17.726005002824177, 9.753627556774882, 10.947309395088626, 10.75954860539552, 18.248387837219937, 10.496149176685762, 12.345381440132318, 14.171674728659784, 15.921850994513035), (16.102081183276677, 14.256381574405948, 15.51454828532236, 18.503914707461085, 17.701605745178732, 9.732612223746381, 10.901785047626733, 10.712853040695016, 18.21520393232739, 10.460673597460932, 12.30054349341367, 14.135163477967897, 15.897223079561043), (16.06086956521739, 14.187096774193549, 15.4875, 18.461413043478263, 17.676470588235297, 9.711111111111112, 10.856022408963586, 10.666666666666666, 18.18166666666667, 10.425098039215687, 12.255023923444977, 14.098245614035088, 15.871875000000001), (16.0186273513449, 14.117467887959643, 15.460106035665294, 18.41827369833602, 17.650638263535864, 9.689171040999847, 10.810038447203299, 10.621007041609511, 18.14780676726109, 10.389423328222922, 12.208891913284896, 14.060939619281399, 15.845847908093276), (15.975427828472597, 14.047528049913716, 15.432372976680384, 18.374530166398284, 17.624147502622446, 9.666838835543363, 10.763850130449988, 10.57589172382259, 18.113654961133975, 10.353650290755535, 12.162216645992086, 14.023263976126877, 15.819182956104251), (15.931344283413848, 13.977310394265235, 15.404307407407408, 18.33021594202899, 17.597037037037037, 9.644161316872427, 10.717474426807762, 10.53133827160494, 18.079241975308644, 10.31777975308642, 12.1150673046252, 13.985237166991553, 15.791921296296294), (15.886450002982048, 13.906848055223684, 15.375915912208507, 18.285364519592058, 17.569345598321632, 9.621185307117818, 10.670928304380737, 10.487364243255604, 18.044598536808415, 10.281812541488476, 12.067513072242896, 13.946877674295479, 15.764104080932785), (15.840818273990577, 13.836174166998541, 15.347205075445817, 18.240009393451423, 17.541111918018238, 9.597957628410304, 10.62422873127303, 10.443987197073618, 18.00975537265661, 10.245749482234594, 12.019623131903835, 13.908203980458689, 15.735772462277092), (15.79452238325282, 13.765321863799286, 15.318181481481483, 18.194184057971015, 17.512374727668846, 9.574525102880658, 10.577392675588754, 10.401224691358026, 17.974743209876543, 10.209591401597677, 11.971466666666668, 13.869234567901238, 15.706967592592594), (15.747635617582157, 13.694324279835394, 15.28885171467764, 18.14792200751476, 17.483172758815464, 9.550934552659655, 10.530437105432021, 10.359094284407867, 17.939592775491544, 10.173339125850616, 11.923112859590052, 13.829987919043152, 15.677730624142663), (15.700231263791975, 13.623214549316343, 15.259222359396432, 18.101256736446594, 17.453544743000084, 9.52723279987807, 10.48337898890695, 10.317613534522177, 17.904334796524918, 10.136993481266307, 11.87463089373265, 13.790482516304477, 15.648102709190674), (15.652382608695653, 13.552025806451613, 15.229300000000002, 18.054221739130437, 17.423529411764708, 9.503466666666666, 10.43623529411765, 10.276800000000001, 17.869, 10.100555294117648, 11.826089952153112, 13.750736842105264, 15.618125000000001), (15.60416293910658, 13.480791185450682, 15.19909122085048, 18.00685050993022, 17.393165496651335, 9.479682975156226, 10.389022989168232, 10.236671239140376, 17.833619112940102, 10.064025390677534, 11.777559217910095, 13.710769378865548, 15.58783864883402), (15.555645541838135, 13.409543820523034, 15.168602606310015, 17.959176543209878, 17.36249172920197, 9.455928547477518, 10.34175904216282, 10.19724481024234, 17.798222862368544, 10.027404597218862, 11.72910787406226, 13.670598609005365, 15.557284807956103), (15.506903703703706, 13.338316845878138, 15.13784074074074, 17.911233333333335, 17.331546840958605, 9.432250205761319, 10.294460421205521, 10.15853827160494, 17.762841975308643, 9.990693740014526, 11.680805103668263, 13.63024301494477, 15.526504629629631), (15.458010711516671, 13.267143395725476, 15.1068122085048, 17.86305437466452, 17.300369563463246, 9.408694772138395, 10.247144094400449, 10.120569181527207, 17.72750717878372, 9.953893645337423, 11.632720089786758, 13.589721079103796, 15.495539266117968), (15.409039852090416, 13.196056604274526, 15.075523593964334, 17.814673161567367, 17.268998628257886, 9.385309068739522, 10.199827029851722, 10.083355098308186, 17.692249199817102, 9.91700513946045, 11.584922015476401, 13.549051283902486, 15.464429869684501), (15.360064412238325, 13.125089605734766, 15.043981481481481, 17.766123188405796, 17.237472766884533, 9.362139917695474, 10.152526195663453, 10.046913580246915, 17.6570987654321, 9.880029048656501, 11.537480063795854, 13.508252111760886, 15.433217592592593), (15.311157678773782, 13.054275534315678, 15.012192455418381, 17.717437949543747, 17.205830710885177, 9.339234141137021, 10.105258559939752, 10.011262185642433, 17.622086602652033, 9.842966199198472, 11.490463417803769, 13.46734204509903, 15.401943587105624), (15.26239293851017, 12.983647524226738, 14.980163100137176, 17.66865093934514, 17.174111191801824, 9.31663856119494, 10.058041090784739, 9.976418472793783, 17.58724343850023, 9.805817417359263, 11.443941260558804, 13.426339566336967, 15.370649005486968), (15.21384347826087, 12.913238709677422, 14.947900000000002, 17.619795652173917, 17.14235294117647, 9.294400000000001, 10.010890756302521, 9.942400000000001, 17.5526, 9.768583529411766, 11.397982775119617, 13.38526315789474, 15.339375000000002), (15.16558258483927, 12.843082224877207, 14.915409739369, 17.570905582393987, 17.11059469055112, 9.272565279682976, 9.96382452459722, 9.90922432556013, 17.518187014174668, 9.731265361628877, 11.352657144544864, 13.34413130219238, 15.308162722908094), (15.117683545058746, 12.77321120403558, 14.882698902606315, 17.522014224369297, 17.078875171467768, 9.251181222374639, 9.916859363772943, 9.876909007773206, 17.484035208047555, 9.693863740283494, 11.308033551893201, 13.302962481649942, 15.277053326474624), (15.07021964573269, 12.703658781362009, 14.849774074074077, 17.47315507246377, 17.047233115468412, 9.230294650205762, 9.87001224193381, 9.845471604938272, 17.450175308641978, 9.656379491648512, 11.264181180223286, 13.261775178687461, 15.246087962962964), (15.02326417367448, 12.634458091065975, 14.816641838134434, 17.42436162104133, 17.015707254095055, 9.209952385307119, 9.823300127183934, 9.814929675354367, 17.41663804298125, 9.618813441996826, 11.221169212593775, 13.220587875724977, 15.215307784636488), (14.976806757924871, 12.565757790057525, 14.78338852520331, 17.375734211987265, 16.98428108827793, 9.190191630743222, 9.776841541850832, 9.78536411004897, 17.383540498013794, 9.581287578580367, 11.179078249844586, 13.179508698407085, 15.184710241349155), (14.930369436640104, 12.498235493640857, 14.75047308003459, 17.327663074043738, 16.952629367306123, 9.170967373647843, 9.731229133456928, 9.757138015208191, 17.351390457140898, 9.544504268660452, 11.137990939381115, 13.13905947538076, 15.154040662656056), (14.883815844806392, 12.431915517892875, 14.717915092331708, 17.280135208290847, 16.920652284621763, 9.152229619998023, 9.6864954403065, 9.730244246845935, 17.320199965870064, 9.508520524780923, 11.09784721828335, 13.099260132094162, 15.123210610656603), (14.837087797180216, 12.366701250066724, 14.685651503974197, 17.233065840426246, 16.888301642214046, 9.133934203659356, 9.64256770804463, 9.70460850063839, 17.28989014276453, 9.473269373519276, 11.05856949003437, 13.060037115979753, 15.092171615609425), (14.790127108518035, 12.302496077415555, 14.653619256841578, 17.18637019614759, 16.855529242072176, 9.116036958497425, 9.599373182316404, 9.680156472261736, 17.260382106387524, 9.438683841453006, 11.020080158117253, 13.021316874470001, 15.06087520777316), (14.742875593576338, 12.239203387192518, 14.621755292813388, 17.139963501152533, 16.82228688618535, 9.098493718377823, 9.556839108766905, 9.656813857392155, 17.231596975302296, 9.404696955159615, 10.98230162601508, 12.98302585499736, 15.02927291740644), (14.695275067111588, 12.176726566650768, 14.589996553769158, 17.09376098113873, 16.788526376542755, 9.081260317166132, 9.51489273304121, 9.634506351705832, 17.20345586807207, 9.371241741216595, 10.945156297210925, 12.945090504994296, 14.997316274767892), (14.647267343880259, 12.114969003043454, 14.55827998158842, 17.04767786180383, 16.754199515133596, 9.064292588727945, 9.473461300784406, 9.613159650878949, 17.175879903260093, 9.338251226201448, 10.908566575187866, 12.907437271893276, 14.964956810116156), (14.59879423863883, 12.053834083623727, 14.5265425181507, 17.001629368845496, 16.71925810394707, 9.047546366928849, 9.432472057641569, 9.592699450587691, 17.148790199429598, 9.305658436691674, 10.872454863428986, 12.869992603126756, 14.932146053709857), (14.549797566143766, 11.993225195644738, 14.494721105335538, 16.95553072796137, 16.683653944972374, 9.03097748563443, 9.391852249257788, 9.573051446508238, 17.122107875143822, 9.273396399264763, 10.836743565417363, 12.832682946127202, 14.898835535807633), (14.50021914115155, 11.933045726359639, 14.462752685022458, 16.90929716484911, 16.647338840198707, 9.01454177871028, 9.351529121278142, 9.554141334316773, 17.095754048966008, 9.24139814049822, 10.801355084636072, 12.795434748327075, 14.864976786668116), (14.450000778418648, 11.87319906302158, 14.430574199090993, 16.86284390520638, 16.61026459161526, 8.998195080021983, 9.311429919347711, 9.535894809689482, 17.069649839459384, 9.209596686969538, 10.766211824568192, 12.758174457158841, 14.830521336549939), (14.399084292701534, 11.813588592883713, 14.398122589420678, 16.816086174730817, 16.572383001211236, 8.98189322343513, 9.271481889111582, 9.518237568302546, 17.04371636518719, 9.177925065256215, 10.731236188696803, 12.720828520054958, 14.795420715711726), (14.347411498756685, 11.754117703199192, 14.365334797891038, 16.768939199120087, 16.53364587097583, 8.965592042815308, 9.231612276214832, 9.501095305832148, 17.017874744712667, 9.146316301935748, 10.696350580504982, 12.683323384447895, 14.759626454412127), (14.294924211340579, 11.69468978122116, 14.332147766381608, 16.72131820407184, 16.494005002898238, 8.949247372028104, 9.19174832630255, 9.484393717954474, 16.99204609659905, 9.114703423585638, 10.661477403475807, 12.645585497770107, 14.723090082909758), (14.241564245209673, 11.635208214202777, 14.29849843677192, 16.67313841528373, 16.453412198967666, 8.93281504493911, 9.151817285019812, 9.4680585003457, 16.966151539409577, 9.083019456783381, 10.626539061092359, 12.607541307454062, 14.68576313146326), (14.187273415120451, 11.575576389397186, 14.264323750941504, 16.624315058453412, 16.4118192611733, 8.916250895413912, 9.111746398011702, 9.452015348682016, 16.94011219170748, 9.051197428106473, 10.591457956837715, 12.569117260932218, 14.647597130331262), (14.131993535829388, 11.515697694057547, 14.229560650769887, 16.57476335927854, 16.36917799150434, 8.899510757318094, 9.0714629109233, 9.4361899586396, 16.913849172056, 9.019170364132412, 10.556156494194951, 12.530239805637045, 14.608543609772397), (14.07566642209295, 11.455475515437003, 14.19414607813661, 16.524398543456762, 16.32544019194999, 8.88255046451725, 9.030894069399695, 9.42050802589464, 16.887283599018378, 8.986871291438696, 10.52055707664715, 12.490835389000999, 14.568554100045299), (14.018233888667616, 11.39481324078871, 14.158016974921194, 16.47313583668574, 16.280557664499447, 8.865325850876964, 8.98996711908596, 9.404895246123317, 16.860336591157846, 8.954233236602823, 10.484582107677383, 12.450830458456547, 14.527580131408602), (13.959637750309861, 11.333614257365817, 14.121110283003175, 16.420890464663124, 16.2344822111419, 8.847792750262826, 8.948609305627183, 9.389277315001811, 16.832929267037642, 8.921189226202292, 10.448153990768738, 12.410151461436149, 14.485573234120938), (13.899819821776152, 11.271781952421478, 14.083362944262086, 16.367577653086567, 16.18716563386655, 8.829906996540425, 8.906747874668445, 9.37357992820631, 16.804982745221007, 8.887672286814597, 10.411195129404286, 12.368724845372267, 14.442484938440934), (13.838721917822966, 11.209219713208839, 14.044711900577454, 16.313112627653727, 16.138559734662593, 8.811624423575347, 8.86431007185483, 9.357728781412993, 16.77641814427117, 8.853615445017242, 10.373627927067108, 12.326477057697364, 14.398266774627231), (13.776285853206776, 11.145830926981056, 14.005094093828815, 16.25741061406225, 16.08861631551923, 8.792900865233184, 8.821223142831416, 9.341649570298044, 16.74715658275137, 8.818951727387716, 10.335374787240283, 12.283334545843907, 14.352870272938459), (13.712453442684055, 11.081518980991277, 13.964446465895698, 16.200386838009802, 16.037287178425654, 8.773692155379518, 8.77741433324329, 9.325267990537647, 16.717119179224852, 8.783614160503523, 10.296358113406889, 12.239223757244352, 14.306246963633242), (13.647166501011277, 11.016187262492654, 13.922705958657628, 16.141956525194022, 15.98452412537107, 8.753954127879942, 8.732810888735527, 9.308509737807984, 16.68622705225485, 8.747535770942156, 10.256500309050004, 12.194071139331164, 14.258348376970226), (13.58036684294491, 10.949739158738339, 13.879809513994145, 16.082034901312575, 15.930278958344665, 8.733642616600042, 8.687340054953216, 9.29130050778524, 16.654401320404595, 8.710649585281116, 10.215723777652705, 12.14780313953681, 14.20912604320803), (13.511996283241437, 10.88207805698148, 13.83569407378478, 16.020537192063113, 15.874503479335647, 8.712713455405407, 8.640929077541434, 9.273565996145594, 16.62156310223733, 8.672888630097898, 10.17395092269807, 12.100346205293746, 14.158531492605304), (13.44199663665733, 10.813107344475235, 13.790296579909057, 15.957378623143285, 15.817149490333206, 8.691122478161624, 8.593505202145272, 9.255231898565233, 16.587633516316288, 8.634185931970002, 10.131104147669182, 12.05162678403444, 14.106516255420662), (13.37030971794905, 10.742730408472745, 13.743553974246513, 15.892474420250753, 15.75816879332654, 8.668825518734284, 8.544995674409803, 9.236223910720339, 16.552533681204707, 8.594474517474925, 10.087105856049115, 12.001571323191351, 14.053031861912746), (13.29687734187308, 10.67085063622717, 13.695403198676681, 15.82573980908316, 15.697513190304846, 8.64577841098897, 8.49532773998011, 9.21646772828709, 16.516184715465837, 8.553687413190165, 10.04187845132095, 11.950106270196944, 13.998029842340188), (13.221641323185896, 10.597371414991658, 13.645781195079085, 15.757090015338171, 15.635134483257326, 8.621936988791274, 8.444428644501278, 9.195889046941678, 16.478507737662895, 8.511757645693216, 9.995344336967761, 11.897158072483679, 13.941461726961624), (13.144543476643964, 10.52219613201936, 13.594624905333262, 15.686440264713433, 15.570984474173173, 8.597257086006785, 8.39222563361839, 9.174413562360282, 16.439423866359128, 8.46861824156158, 9.947425916472632, 11.842653177484022, 13.88327904603568), (13.065525617003761, 10.445228174563427, 13.541871271318747, 15.613705782906601, 15.505014965041589, 8.57169453650109, 8.338645952976528, 9.151966970219084, 16.39885422011777, 8.424202227372753, 9.898045593318638, 11.786518032630433, 13.82343332982099), (12.98452955902176, 10.366370929877009, 13.487457234915055, 15.538801795615328, 15.437177757851764, 8.545205174139772, 8.28361684822077, 9.128474966194265, 16.356719917502065, 8.378442629704233, 9.847125770988859, 11.728679085355378, 13.761876108576189), (12.901497117454435, 10.285527785213262, 13.431319738001733, 15.461643528537275, 15.367424654592899, 8.517744832788429, 8.227065564996202, 9.103863245962012, 16.312942077075245, 8.331272475133515, 9.794588852966372, 11.669062783091313, 13.698558912559907), (12.81637010705826, 10.20260212782533, 13.37339572245831, 15.382146207370084, 15.295707457254194, 8.48926934631264, 8.168919348947906, 9.078057505198506, 16.26744181740054, 8.282624790238101, 9.740357242734255, 11.607595573270707, 13.63343327203078), (12.729090342589704, 10.117497344966367, 13.313622130164312, 15.30022505781142, 15.221977967824841, 8.459734548577998, 8.109105445720962, 9.05098343957993, 16.220140257041205, 8.232432601595482, 9.684353343775589, 11.544203903326022, 13.566450717247434), (12.63959963880524, 10.030116823889527, 13.251935902999268, 15.215795305558927, 15.146187988294043, 8.429096273450089, 8.047551100960453, 9.02256674478247, 16.170958514560464, 8.180628935783165, 9.626499559573448, 11.478814220689715, 13.49756277846851), (12.54783981046135, 9.940363951847957, 13.188273982842723, 15.128772176310271, 15.06828932065099, 8.397310354794502, 7.984183560311464, 8.992733116482306, 16.119817708521552, 8.12714681937864, 9.566718293610915, 11.411352972794255, 13.426720985952636), (12.453752672314497, 9.848142116094811, 13.12257331157419, 15.039070895763093, 14.988233766884889, 8.364332626476825, 7.918930069419071, 8.96140825035562, 16.06663895748772, 8.071919278959406, 9.504931949371066, 11.341746607072103, 13.353876869958444), (12.357280039121166, 9.75335470388324, 13.054770831073213, 14.946606689615056, 14.905973128984929, 8.330118922362647, 7.851717873928365, 8.928517842078596, 16.011343380022186, 8.014879341102965, 9.44106293033698, 11.26992157095572, 13.278981960744572), (12.258363725637818, 9.655905102466392, 12.984803483219322, 14.851294783563805, 14.821459208940315, 8.294625076317555, 7.782474219484418, 8.893987587327418, 15.953852094688205, 7.955960032386807, 9.375033639991733, 11.195804311877572, 13.201987788569642), (12.15694554662093, 9.555696699097421, 12.912608209892042, 14.753050403307, 14.734643808740238, 8.257806922207138, 7.71112635173232, 8.85774318177827, 15.894086220049003, 7.8950943793884365, 9.306766481818407, 11.119321277270117, 13.122845883692296), (12.05296731682698, 9.452632881029478, 12.838121952970909, 14.6517887745423, 14.645478730373895, 8.219620293896982, 7.637601516317151, 8.819710321107332, 15.831966874667822, 7.832215408685347, 9.236183859300079, 11.04039891456582, 13.041507776371162), (11.943489514248384, 9.344724993235614, 12.75774712624377, 14.54363133064199, 14.549889769393596, 8.177639162107376, 7.560170753484572, 8.777275123758995, 15.762659346558557, 7.76538546606583, 9.160953204062308, 10.956159302710944, 12.954377375064553), (11.811658827165445, 9.220904511359164, 12.65078050944478, 14.406363454061527, 14.424306095650605, 8.117903436811366, 7.469140421417146, 8.715541652423012, 15.658283617955432, 7.683649590557993, 9.06786709699039, 10.850180037892974, 12.840684235072311), (11.655795351846896, 9.080154765665142, 12.515073532729422, 14.237724016654177, 14.266272210154874, 8.038946073676295, 7.363589997414055, 8.632958703243755, 15.515880363565842, 7.58592904298063, 8.955615213775264, 10.720803118220555, 12.69827297422973), (11.477155287337537, 8.92339338892875, 12.352075155056495, 14.039316006010765, 14.077428998851381, 7.941723586512502, 7.244290313611002, 8.530560852975649, 15.337327627198428, 7.473053109073501, 8.825186647359532, 10.569227950252113, 12.528598471710556), (11.27699483268217, 8.751538013925183, 12.163234335384793, 13.812742409722123, 13.859417347685127, 7.827192489130329, 7.112012202143695, 8.409382678373124, 15.12450345266182, 7.3458510745763705, 8.677570490685794, 10.39665394054607, 12.333115606688533), (11.056570186925597, 8.565506273429639, 11.950000032673124, 13.559606215379095, 13.613878142601102, 7.696309295340116, 6.967526495147841, 8.2704587561906, 14.87928588376465, 7.205152225229, 8.513755836696653, 10.204280495660853, 12.113279258337407), (10.817137549112616, 8.366215800217313, 11.713821205880283, 13.281510410572508, 13.342452269544303, 7.550030518952207, 6.811604024759146, 8.114823663182511, 14.603552964315558, 7.05178584677115, 8.334731778334714, 9.993307022154886, 11.870544305830926), (10.559953118288028, 8.154584227063411, 11.45614681396507, 12.980057982893204, 13.046780614459719, 7.389312673776939, 6.6450156231133155, 7.943511976103274, 14.299182738123168, 6.8865812249425815, 8.141487408542579, 9.764932926586592, 11.606365628342832), (10.286273093496636, 7.931529186743127, 11.178425815886285, 12.656851919932002, 12.728504063292343, 7.215112273624654, 6.468532122346058, 7.757558271707324, 13.968053248996117, 6.71036764548306, 7.935011820262847, 9.520357615514403, 11.322198105046873), (9.997353673783238, 7.6979683120316595, 10.882107170602728, 12.31349520927975, 12.389263501987168, 7.028385832305694, 6.28292435459308, 7.557997126749083, 13.61204254074304, 6.523974394132343, 7.716294106438124, 9.260780495496734, 11.019496615116793), (9.694451058192634, 7.454819235704206, 10.568639837073198, 11.951590838527274, 12.030699816489188, 6.830089863630398, 6.088963151990087, 7.345863117982976, 13.233028657172568, 6.328230756630195, 7.48632336001101, 8.987400973092019, 10.69971603772634), (9.378821445769624, 7.202999590535967, 10.239472774256495, 11.572741795265413, 11.654453892743392, 6.621180881409112, 5.887419346672787, 7.122190822163432, 12.832889642093342, 6.123966018716379, 7.24608867392411, 8.701418454858675, 10.364311252049257), (9.051721035559014, 6.94342700930214, 9.896054941111416, 11.178551067084992, 11.262166616694774, 6.402615399452171, 5.679063770776885, 6.888014816044876, 12.413503539313982, 5.912009466130653, 6.996579141120026, 8.404032347355134, 10.014737137259289), (8.7144060266056, 6.677019124777921, 9.539835296596765, 10.770621641576858, 10.85547887428833, 6.175349931569918, 5.464667256438089, 6.644369676381733, 11.976748392643131, 5.693190384612782, 6.738783854541357, 8.096442057139818, 9.652448572530185), (8.368132617954185, 6.4046935697385114, 9.172262799671339, 10.350556506331834, 10.436031551469046, 5.940340991572694, 5.245000635792105, 6.392289979928433, 11.524502245889417, 5.468338059902528, 6.473691907130711, 7.779846990771154, 9.278900437035686), (8.014157008649567, 6.127367976959108, 8.79478640929394, 9.919958648940762, 10.005465534181923, 5.69854509327084, 5.02083474097464, 6.132810303439398, 11.058643142861477, 5.238281777739651, 6.202292391830685, 7.45544655480756, 8.89554760994954), (7.6537353977365505, 5.845959979214909, 8.408855084423363, 9.480431056994465, 9.565421708371947, 5.450918750474696, 4.792940404121401, 5.866965223669057, 10.581049127367942, 5.003850823863915, 5.9255744015838845, 7.124440155807469, 8.503844970445494), (7.288123984259929, 5.561387209281111, 8.015917784018413, 9.033576718083788, 9.11754095998411, 5.198418476994606, 4.562088457368093, 5.595789317371834, 10.09359824321745, 4.765874484015079, 5.644527029332911, 6.788027200329303, 8.105247397697292), (6.91857896726451, 5.274567299932917, 7.617423467037885, 8.58099861979956, 8.663464174963408, 4.942000786640907, 4.329049732850424, 5.3203171613021585, 9.598168534218628, 4.525182043932907, 5.360139368020368, 6.447407094931487, 7.701209770878679), (6.546356545795092, 4.986417883945522, 7.214821092440582, 8.124299749732613, 8.204832239254838, 4.682622193223941, 4.094595062704101, 5.0415833322144525, 9.096638044180112, 4.282602789357159, 5.073400510588858, 6.103779246172446, 7.2931869691634), (6.172712918896475, 4.697856594094126, 6.809559619185302, 7.665083095473786, 7.743286038803382, 4.421239210554052, 3.859495279064828, 4.760622406863145, 8.590884816910537, 4.0389660060276, 4.78529954998098, 5.758343060610604, 6.882633871725203), (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 = ((10, 4, 10, 7, 4, 5, 6, 5, 3, 4, 0, 0, 0, 5, 15, 5, 4, 4, 3, 0, 2, 3, 4, 1, 0, 0), (12, 14, 21, 15, 9, 8, 9, 7, 8, 6, 0, 0, 0, 14, 25, 7, 9, 10, 7, 3, 7, 5, 12, 2, 0, 0), (13, 23, 27, 24, 17, 13, 14, 11, 9, 7, 2, 2, 0, 24, 29, 15, 20, 22, 12, 7, 9, 9, 16, 4, 4, 0), (20, 37, 32, 31, 23, 17, 14, 15, 12, 8, 5, 3, 0, 30, 37, 25, 25, 31, 19, 11, 12, 10, 16, 4, 6, 0), (31, 48, 45, 39, 30, 19, 19, 18, 15, 10, 9, 3, 0, 39, 40, 27, 34, 36, 24, 15, 15, 14, 18, 9, 6, 0), (41, 58, 50, 47, 39, 27, 22, 25, 21, 10, 14, 4, 0, 47, 56, 34, 37, 44, 29, 20, 16, 17, 23, 10, 6, 0), (54, 69, 58, 54, 47, 32, 30, 30, 28, 13, 15, 6, 0, 54, 65, 44, 46, 49, 37, 21, 17, 20, 24, 12, 7, 0), (68, 78, 65, 60, 53, 33, 35, 36, 35, 16, 17, 7, 0, 66, 77, 52, 48, 60, 43, 25, 18, 24, 25, 14, 8, 0), (80, 93, 72, 73, 63, 41, 39, 38, 37, 18, 19, 10, 0, 83, 87, 63, 57, 69, 44, 33, 20, 28, 31, 14, 10, 0), (86, 111, 81, 93, 71, 43, 47, 41, 39, 19, 19, 11, 0, 94, 101, 74, 66, 81, 53, 37, 23, 36, 38, 16, 11, 0), (104, 127, 94, 106, 77, 47, 54, 45, 46, 22, 20, 11, 0, 110, 108, 87, 72, 89, 61, 41, 26, 41, 44, 22, 12, 0), (117, 139, 107, 120, 86, 52, 58, 51, 53, 26, 22, 12, 0, 123, 124, 95, 80, 99, 69, 48, 31, 46, 46, 22, 14, 0), (132, 157, 120, 133, 98, 55, 66, 58, 56, 31, 25, 12, 0, 133, 137, 102, 91, 111, 79, 53, 35, 50, 48, 23, 17, 0), (144, 168, 130, 147, 105, 66, 71, 62, 62, 40, 27, 12, 0, 145, 150, 112, 99, 124, 90, 61, 38, 56, 51, 25, 18, 0), (159, 183, 151, 160, 117, 71, 77, 70, 67, 41, 30, 13, 0, 165, 161, 121, 106, 141, 97, 67, 45, 61, 56, 27, 19, 0), (178, 197, 161, 177, 127, 76, 86, 74, 77, 44, 31, 15, 0, 183, 180, 129, 116, 156, 100, 74, 50, 65, 57, 29, 20, 0), (189, 208, 174, 188, 138, 80, 87, 82, 84, 47, 33, 16, 0, 193, 196, 137, 122, 167, 110, 76, 54, 70, 67, 32, 20, 0), (199, 219, 182, 199, 149, 84, 92, 88, 88, 51, 36, 17, 0, 222, 210, 146, 127, 178, 113, 83, 59, 74, 73, 33, 21, 0), (212, 228, 195, 214, 154, 93, 100, 93, 93, 55, 36, 18, 0, 241, 228, 155, 136, 187, 125, 91, 65, 78, 76, 38, 22, 0), (234, 250, 209, 226, 170, 99, 109, 98, 102, 60, 38, 19, 0, 255, 248, 166, 154, 205, 127, 95, 70, 85, 78, 41, 24, 0), (248, 261, 222, 238, 182, 103, 111, 102, 108, 62, 40, 22, 0, 268, 264, 180, 159, 212, 137, 100, 74, 92, 80, 46, 25, 0), (261, 287, 239, 250, 201, 108, 116, 107, 114, 70, 44, 24, 0, 284, 280, 194, 172, 224, 145, 104, 83, 96, 87, 48, 30, 0), (269, 307, 254, 254, 211, 114, 122, 111, 124, 74, 44, 24, 0, 302, 291, 206, 179, 236, 153, 113, 85, 101, 93, 51, 31, 0), (286, 328, 271, 267, 226, 119, 132, 116, 132, 77, 46, 24, 0, 319, 302, 220, 183, 250, 161, 121, 87, 108, 95, 54, 33, 0), (309, 342, 280, 281, 240, 127, 139, 123, 138, 79, 48, 25, 0, 333, 324, 229, 193, 263, 169, 125, 91, 113, 104, 55, 33, 0), (329, 354, 292, 299, 249, 132, 151, 129, 146, 80, 51, 27, 0, 351, 338, 233, 198, 273, 182, 126, 96, 120, 111, 57, 34, 0), (344, 370, 303, 314, 261, 137, 152, 134, 155, 81, 51, 27, 0, 370, 354, 240, 211, 288, 192, 133, 103, 124, 112, 58, 34, 0), (367, 386, 314, 329, 276, 141, 159, 141, 160, 85, 54, 29, 0, 383, 372, 253, 228, 299, 201, 139, 106, 129, 115, 61, 35, 0), (386, 404, 331, 347, 288, 146, 162, 146, 169, 89, 56, 29, 0, 393, 383, 266, 239, 309, 210, 149, 109, 136, 121, 64, 37, 0), (402, 415, 347, 359, 300, 154, 170, 152, 174, 93, 59, 32, 0, 402, 393, 275, 255, 321, 223, 158, 112, 143, 129, 65, 40, 0), (414, 426, 361, 376, 313, 160, 176, 158, 179, 102, 64, 34, 0, 418, 412, 287, 268, 332, 230, 160, 118, 151, 132, 67, 42, 0), (428, 449, 378, 389, 333, 166, 182, 167, 185, 105, 65, 35, 0, 437, 428, 295, 276, 342, 238, 165, 122, 160, 136, 69, 43, 0), (446, 463, 391, 403, 348, 171, 186, 173, 190, 105, 67, 38, 0, 457, 445, 302, 287, 355, 245, 170, 126, 170, 137, 75, 46, 0), (466, 485, 409, 414, 358, 172, 196, 176, 194, 113, 68, 42, 0, 482, 462, 312, 294, 365, 250, 180, 129, 179, 142, 77, 47, 0), (487, 499, 420, 433, 369, 182, 200, 186, 203, 117, 69, 43, 0, 498, 472, 332, 309, 385, 264, 189, 132, 183, 150, 80, 48, 0), (503, 521, 437, 443, 382, 185, 205, 193, 209, 121, 73, 44, 0, 516, 490, 346, 319, 399, 273, 192, 135, 193, 154, 80, 48, 0), (514, 532, 447, 460, 389, 189, 216, 198, 217, 124, 77, 45, 0, 531, 503, 364, 330, 408, 275, 200, 142, 200, 157, 84, 48, 0), (524, 556, 460, 475, 402, 193, 219, 207, 222, 129, 80, 46, 0, 544, 519, 376, 337, 420, 285, 206, 153, 212, 161, 87, 50, 0), (543, 573, 469, 486, 411, 197, 227, 211, 226, 132, 83, 47, 0, 560, 539, 392, 351, 431, 297, 209, 153, 216, 169, 90, 52, 0), (555, 591, 487, 508, 422, 200, 232, 218, 233, 136, 85, 47, 0, 573, 563, 406, 361, 444, 309, 214, 158, 222, 173, 95, 54, 0), (570, 609, 500, 524, 435, 205, 238, 225, 237, 137, 88, 49, 0, 591, 581, 416, 372, 453, 315, 226, 159, 231, 179, 99, 56, 0), (588, 625, 509, 532, 446, 210, 247, 232, 243, 140, 91, 50, 0, 608, 595, 430, 381, 466, 321, 234, 163, 239, 185, 102, 58, 0), (602, 637, 519, 546, 455, 214, 255, 239, 247, 143, 93, 50, 0, 621, 608, 439, 394, 474, 337, 238, 166, 243, 187, 104, 59, 0), (626, 653, 532, 558, 475, 222, 262, 244, 252, 146, 94, 52, 0, 639, 620, 447, 402, 487, 345, 243, 172, 252, 192, 107, 61, 0), (642, 665, 544, 572, 493, 227, 271, 252, 255, 149, 95, 54, 0, 651, 637, 457, 410, 506, 356, 251, 178, 259, 195, 111, 63, 0), (653, 683, 558, 594, 506, 231, 282, 256, 263, 150, 98, 55, 0, 670, 650, 469, 424, 520, 359, 257, 183, 265, 199, 112, 66, 0), (674, 693, 572, 609, 513, 236, 288, 261, 273, 154, 98, 60, 0, 692, 664, 481, 434, 536, 368, 264, 186, 271, 205, 114, 67, 0), (688, 715, 586, 628, 528, 239, 297, 268, 278, 157, 98, 60, 0, 704, 685, 492, 442, 547, 374, 270, 195, 281, 207, 116, 69, 0), (716, 730, 594, 643, 542, 245, 302, 277, 290, 158, 98, 61, 0, 715, 698, 498, 451, 563, 377, 276, 198, 287, 207, 118, 72, 0), (726, 748, 611, 660, 556, 251, 308, 281, 295, 164, 99, 62, 0, 733, 713, 509, 461, 575, 384, 283, 202, 291, 210, 119, 72, 0), (739, 762, 619, 680, 569, 263, 314, 286, 298, 169, 104, 62, 0, 749, 727, 520, 466, 592, 391, 290, 207, 297, 215, 124, 73, 0), (758, 779, 641, 707, 585, 267, 316, 289, 305, 173, 105, 63, 0, 768, 737, 530, 475, 603, 401, 296, 209, 302, 221, 129, 74, 0), (770, 791, 660, 718, 594, 275, 323, 296, 313, 174, 106, 66, 0, 785, 755, 539, 481, 616, 409, 301, 213, 315, 224, 131, 75, 0), (780, 806, 673, 729, 607, 280, 328, 303, 317, 176, 107, 68, 0, 800, 770, 545, 487, 632, 413, 306, 219, 321, 228, 132, 78, 0), (804, 826, 689, 742, 612, 290, 336, 314, 319, 177, 109, 68, 0, 819, 788, 558, 494, 649, 424, 313, 224, 325, 231, 132, 78, 0), (822, 844, 703, 759, 623, 296, 342, 317, 324, 181, 109, 68, 0, 830, 807, 568, 499, 662, 434, 318, 228, 331, 236, 133, 80, 0), (842, 857, 717, 779, 638, 303, 349, 319, 331, 188, 112, 68, 0, 846, 826, 579, 505, 677, 445, 322, 232, 338, 244, 137, 81, 0), (858, 870, 737, 789, 644, 311, 352, 325, 338, 189, 113, 69, 0, 865, 843, 589, 514, 691, 449, 328, 237, 347, 250, 139, 83, 0), (877, 885, 747, 809, 652, 318, 358, 334, 341, 196, 116, 69, 0, 883, 858, 595, 522, 704, 454, 335, 241, 352, 253, 146, 87, 0), (891, 895, 760, 829, 667, 323, 362, 340, 343, 197, 118, 69, 0, 903, 871, 609, 531, 720, 461, 341, 242, 361, 255, 148, 89, 0), (904, 909, 767, 844, 676, 329, 367, 345, 346, 199, 120, 72, 0, 920, 887, 620, 533, 734, 466, 351, 246, 367, 261, 149, 90, 0), (920, 925, 780, 857, 687, 338, 373, 347, 354, 202, 122, 72, 0, 938, 896, 627, 545, 752, 472, 357, 249, 373, 266, 153, 92, 0), (935, 940, 795, 863, 697, 346, 378, 351, 359, 204, 124, 75, 0, 959, 910, 634, 553, 767, 486, 362, 252, 377, 274, 156, 94, 0), (951, 948, 818, 880, 707, 351, 382, 363, 368, 206, 126, 75, 0, 972, 931, 649, 562, 786, 490, 370, 259, 380, 279, 159, 95, 0), (969, 961, 840, 890, 713, 356, 386, 367, 371, 210, 128, 77, 0, 988, 947, 658, 567, 798, 496, 377, 265, 387, 285, 162, 96, 0), (984, 975, 855, 904, 729, 362, 395, 371, 376, 212, 134, 79, 0, 1004, 956, 678, 574, 812, 504, 382, 269, 394, 293, 164, 97, 0), (1003, 989, 877, 919, 743, 369, 402, 377, 384, 216, 137, 80, 0, 1025, 976, 689, 582, 825, 508, 390, 274, 399, 298, 168, 97, 0), (1019, 1006, 890, 934, 752, 375, 405, 385, 390, 217, 143, 80, 0, 1041, 997, 705, 593, 838, 514, 400, 279, 407, 301, 169, 99, 0), (1039, 1019, 903, 951, 764, 379, 412, 394, 396, 221, 147, 86, 0, 1058, 1011, 712, 600, 848, 524, 406, 281, 414, 303, 173, 100, 0), (1054, 1040, 916, 969, 775, 389, 417, 397, 401, 225, 149, 88, 0, 1074, 1023, 719, 615, 863, 528, 416, 284, 419, 307, 177, 101, 0), (1069, 1053, 933, 977, 784, 396, 422, 399, 407, 226, 154, 88, 0, 1094, 1032, 733, 618, 880, 534, 426, 292, 422, 313, 178, 101, 0), (1081, 1069, 946, 994, 799, 407, 433, 403, 418, 232, 156, 88, 0, 1109, 1046, 740, 629, 890, 534, 433, 296, 428, 315, 181, 102, 0), (1101, 1083, 958, 1009, 812, 411, 441, 408, 421, 236, 157, 91, 0, 1123, 1062, 755, 642, 897, 540, 445, 304, 438, 325, 184, 102, 0), (1118, 1099, 974, 1024, 828, 419, 447, 412, 425, 239, 161, 92, 0, 1144, 1078, 767, 656, 916, 547, 448, 311, 444, 330, 184, 103, 0), (1135, 1111, 989, 1036, 840, 425, 453, 418, 431, 241, 163, 92, 0, 1156, 1095, 777, 665, 931, 552, 450, 318, 452, 338, 187, 105, 0), (1148, 1121, 1003, 1052, 852, 435, 460, 420, 439, 243, 166, 93, 0, 1176, 1103, 788, 676, 945, 556, 457, 321, 457, 339, 191, 105, 0), (1167, 1143, 1013, 1069, 859, 441, 470, 425, 445, 245, 170, 94, 0, 1187, 1119, 799, 680, 958, 563, 465, 324, 467, 340, 196, 108, 0), (1176, 1159, 1031, 1077, 866, 449, 474, 430, 447, 247, 175, 96, 0, 1206, 1135, 813, 690, 975, 570, 474, 326, 471, 345, 198, 108, 0), (1192, 1180, 1044, 1084, 879, 458, 482, 434, 451, 249, 180, 96, 0, 1221, 1155, 826, 695, 986, 586, 481, 329, 476, 351, 201, 109, 0), (1210, 1190, 1058, 1095, 889, 466, 493, 437, 463, 250, 182, 98, 0, 1237, 1167, 836, 703, 995, 594, 488, 333, 483, 355, 203, 110, 0), (1224, 1209, 1067, 1111, 908, 473, 499, 445, 471, 251, 187, 99, 0, 1250, 1181, 841, 708, 1006, 600, 491, 338, 489, 361, 205, 113, 0), (1235, 1222, 1077, 1121, 926, 477, 503, 447, 474, 252, 188, 100, 0, 1263, 1183, 854, 715, 1017, 604, 497, 341, 492, 365, 209, 116, 0), (1251, 1239, 1088, 1133, 937, 483, 509, 451, 481, 254, 193, 100, 0, 1278, 1197, 868, 734, 1031, 606, 502, 342, 499, 368, 213, 117, 0), (1266, 1252, 1103, 1156, 947, 489, 512, 455, 484, 254, 194, 103, 0, 1292, 1215, 879, 742, 1042, 617, 508, 343, 509, 371, 215, 117, 0), (1283, 1263, 1117, 1173, 963, 493, 517, 459, 489, 257, 195, 103, 0, 1309, 1230, 892, 748, 1051, 622, 510, 344, 513, 377, 216, 117, 0), (1301, 1277, 1133, 1184, 973, 497, 521, 463, 495, 259, 197, 104, 0, 1323, 1241, 901, 752, 1060, 630, 517, 347, 522, 379, 221, 117, 0), (1314, 1296, 1144, 1199, 982, 503, 529, 467, 500, 263, 198, 108, 0, 1334, 1260, 909, 757, 1073, 634, 525, 354, 531, 381, 224, 119, 0), (1324, 1307, 1157, 1216, 994, 508, 538, 471, 510, 267, 201, 108, 0, 1351, 1275, 919, 766, 1082, 644, 532, 357, 539, 387, 225, 120, 0), (1342, 1319, 1172, 1232, 1001, 513, 539, 473, 518, 269, 204, 112, 0, 1369, 1293, 928, 769, 1100, 652, 540, 358, 547, 390, 230, 120, 0), (1363, 1334, 1189, 1246, 1015, 518, 544, 481, 524, 271, 204, 114, 0, 1384, 1305, 936, 781, 1115, 655, 545, 360, 552, 394, 234, 122, 0), (1381, 1347, 1204, 1255, 1025, 526, 548, 488, 529, 275, 207, 114, 0, 1398, 1313, 947, 786, 1126, 664, 549, 362, 556, 402, 239, 124, 0), (1397, 1359, 1216, 1275, 1035, 532, 554, 492, 530, 277, 209, 116, 0, 1415, 1324, 952, 795, 1138, 672, 554, 365, 560, 407, 240, 124, 0), (1419, 1375, 1225, 1289, 1042, 536, 559, 496, 540, 280, 211, 117, 0, 1427, 1333, 962, 807, 1149, 682, 557, 369, 563, 412, 242, 125, 0), (1438, 1388, 1245, 1300, 1054, 542, 567, 504, 552, 281, 212, 117, 0, 1445, 1350, 968, 810, 1160, 687, 564, 371, 572, 418, 244, 127, 0), (1457, 1403, 1256, 1321, 1062, 549, 571, 505, 558, 283, 214, 117, 0, 1466, 1364, 978, 816, 1181, 693, 571, 374, 578, 421, 248, 127, 0), (1472, 1418, 1268, 1345, 1076, 555, 579, 508, 568, 286, 217, 119, 0, 1490, 1376, 989, 823, 1191, 700, 578, 379, 584, 425, 250, 127, 0), (1485, 1433, 1282, 1354, 1094, 563, 583, 512, 574, 293, 219, 119, 0, 1504, 1387, 994, 832, 1207, 711, 583, 385, 589, 429, 251, 130, 0), (1497, 1440, 1297, 1368, 1112, 568, 587, 518, 581, 295, 225, 122, 0, 1523, 1403, 1000, 838, 1226, 713, 590, 389, 593, 437, 253, 132, 0), (1508, 1448, 1305, 1377, 1121, 573, 590, 522, 587, 297, 227, 123, 0, 1539, 1422, 1012, 843, 1233, 724, 595, 395, 599, 440, 255, 133, 0), (1518, 1461, 1316, 1390, 1135, 577, 594, 524, 597, 300, 228, 124, 0, 1555, 1436, 1021, 849, 1246, 727, 597, 398, 605, 445, 255, 133, 0), (1538, 1472, 1326, 1404, 1147, 582, 601, 527, 604, 303, 232, 125, 0, 1567, 1446, 1033, 850, 1261, 731, 605, 404, 610, 452, 256, 135, 0), (1549, 1482, 1337, 1414, 1162, 587, 606, 530, 611, 304, 233, 125, 0, 1583, 1458, 1041, 860, 1276, 740, 609, 409, 612, 456, 262, 137, 0), (1561, 1494, 1350, 1425, 1173, 596, 612, 536, 617, 306, 236, 126, 0, 1600, 1470, 1050, 869, 1291, 746, 614, 414, 624, 462, 263, 137, 0), (1577, 1512, 1362, 1443, 1181, 603, 614, 540, 626, 307, 237, 131, 0, 1615, 1487, 1063, 873, 1307, 748, 620, 418, 628, 465, 266, 140, 0), (1594, 1523, 1374, 1454, 1194, 611, 620, 543, 631, 312, 240, 132, 0, 1634, 1492, 1072, 879, 1319, 757, 625, 423, 631, 475, 267, 140, 0), (1607, 1538, 1386, 1466, 1205, 620, 624, 546, 635, 313, 244, 133, 0, 1650, 1509, 1084, 881, 1335, 763, 631, 426, 637, 482, 269, 140, 0), (1618, 1551, 1398, 1480, 1212, 629, 631, 554, 642, 314, 246, 134, 0, 1666, 1520, 1092, 886, 1345, 770, 635, 430, 644, 483, 271, 141, 0), (1629, 1559, 1409, 1497, 1228, 634, 637, 557, 649, 315, 248, 136, 0, 1677, 1533, 1098, 890, 1358, 776, 638, 432, 650, 493, 272, 142, 0), (1646, 1569, 1418, 1512, 1243, 638, 642, 561, 661, 319, 250, 137, 0, 1689, 1547, 1107, 897, 1374, 779, 644, 436, 654, 494, 278, 143, 0), (1672, 1580, 1432, 1533, 1256, 643, 647, 566, 664, 320, 255, 138, 0, 1706, 1557, 1114, 903, 1382, 787, 652, 439, 659, 496, 280, 144, 0), (1686, 1594, 1453, 1553, 1277, 648, 648, 570, 666, 322, 256, 141, 0, 1718, 1571, 1126, 912, 1397, 790, 657, 442, 664, 501, 283, 144, 0), (1705, 1610, 1472, 1567, 1291, 656, 650, 571, 673, 324, 258, 144, 0, 1738, 1581, 1133, 921, 1408, 796, 661, 446, 667, 506, 284, 145, 0), (1725, 1622, 1482, 1576, 1306, 658, 656, 575, 681, 329, 260, 145, 0, 1758, 1589, 1140, 929, 1419, 804, 666, 449, 673, 514, 286, 147, 0), (1736, 1635, 1499, 1590, 1322, 667, 662, 579, 688, 332, 262, 145, 0, 1772, 1605, 1150, 935, 1430, 811, 670, 451, 679, 516, 288, 149, 0), (1749, 1648, 1512, 1600, 1335, 670, 665, 580, 692, 335, 267, 146, 0, 1782, 1620, 1156, 944, 1441, 812, 677, 454, 685, 519, 290, 149, 0), (1759, 1662, 1529, 1612, 1349, 678, 670, 582, 697, 339, 268, 147, 0, 1799, 1630, 1173, 953, 1450, 822, 680, 459, 693, 522, 292, 149, 0), (1773, 1669, 1543, 1626, 1366, 686, 675, 588, 700, 342, 269, 147, 0, 1809, 1641, 1183, 961, 1465, 828, 685, 466, 702, 528, 295, 150, 0), (1784, 1684, 1558, 1638, 1379, 691, 678, 593, 707, 344, 270, 148, 0, 1827, 1649, 1198, 972, 1472, 836, 686, 470, 708, 533, 297, 151, 0), (1801, 1690, 1573, 1649, 1391, 696, 683, 595, 712, 349, 272, 149, 0, 1851, 1656, 1208, 978, 1488, 838, 692, 479, 711, 537, 298, 152, 0), (1818, 1706, 1590, 1662, 1398, 701, 687, 602, 716, 349, 275, 150, 0, 1866, 1666, 1213, 985, 1497, 839, 695, 484, 715, 540, 301, 153, 0), (1829, 1715, 1604, 1676, 1413, 704, 690, 604, 722, 351, 276, 150, 0, 1883, 1677, 1221, 994, 1509, 848, 696, 485, 719, 546, 302, 155, 0), (1841, 1727, 1618, 1683, 1427, 709, 693, 606, 729, 353, 278, 151, 0, 1895, 1688, 1233, 1001, 1515, 852, 698, 485, 724, 551, 303, 155, 0), (1852, 1736, 1632, 1697, 1442, 718, 702, 609, 735, 356, 278, 152, 0, 1908, 1695, 1237, 1007, 1529, 858, 708, 489, 729, 557, 303, 155, 0), (1860, 1750, 1651, 1712, 1459, 720, 703, 613, 740, 358, 280, 153, 0, 1926, 1706, 1250, 1018, 1535, 868, 711, 493, 737, 559, 305, 155, 0), (1874, 1758, 1663, 1728, 1467, 722, 708, 615, 746, 362, 281, 153, 0, 1948, 1717, 1257, 1026, 1547, 877, 716, 497, 743, 559, 306, 155, 0), (1891, 1771, 1673, 1746, 1477, 726, 717, 618, 751, 365, 281, 157, 0, 1971, 1729, 1267, 1033, 1567, 886, 719, 504, 750, 565, 307, 155, 0), (1903, 1780, 1682, 1753, 1487, 728, 723, 621, 757, 366, 283, 158, 0, 1980, 1745, 1271, 1043, 1580, 888, 720, 509, 756, 567, 310, 155, 0), (1917, 1791, 1688, 1764, 1502, 731, 728, 624, 765, 367, 285, 160, 0, 1992, 1754, 1279, 1050, 1585, 895, 729, 514, 763, 571, 314, 156, 0), (1930, 1802, 1701, 1776, 1516, 737, 733, 629, 768, 369, 286, 161, 0, 2012, 1766, 1291, 1056, 1596, 908, 732, 520, 771, 572, 319, 158, 0), (1948, 1809, 1713, 1788, 1529, 739, 736, 634, 775, 369, 287, 163, 0, 2027, 1777, 1304, 1068, 1611, 914, 738, 521, 777, 576, 322, 159, 0), (1956, 1817, 1725, 1805, 1540, 742, 743, 636, 777, 372, 287, 163, 0, 2037, 1784, 1313, 1078, 1625, 920, 739, 524, 782, 580, 324, 160, 0), (1969, 1827, 1742, 1815, 1549, 747, 747, 637, 781, 375, 289, 165, 0, 2051, 1794, 1321, 1089, 1640, 927, 745, 527, 787, 582, 324, 160, 0), (1991, 1833, 1755, 1825, 1560, 751, 756, 642, 791, 377, 292, 165, 0, 2062, 1809, 1325, 1096, 1652, 940, 749, 529, 790, 587, 326, 162, 0), (1999, 1851, 1770, 1836, 1573, 757, 760, 648, 802, 380, 292, 168, 0, 2075, 1822, 1335, 1107, 1659, 947, 752, 534, 794, 589, 327, 162, 0), (2013, 1868, 1780, 1844, 1584, 759, 768, 653, 809, 382, 295, 171, 0, 2088, 1830, 1346, 1115, 1670, 951, 754, 537, 797, 592, 327, 163, 0), (2020, 1878, 1791, 1858, 1591, 774, 775, 656, 812, 384, 295, 171, 0, 2103, 1836, 1356, 1119, 1679, 954, 757, 543, 803, 598, 328, 164, 0), (2033, 1889, 1800, 1864, 1601, 776, 775, 660, 816, 388, 297, 171, 0, 2118, 1845, 1366, 1126, 1690, 957, 762, 544, 813, 599, 330, 164, 0), (2048, 1896, 1811, 1873, 1611, 778, 777, 663, 820, 392, 298, 171, 0, 2132, 1859, 1371, 1129, 1701, 963, 768, 548, 817, 604, 332, 166, 0), (2054, 1907, 1825, 1888, 1620, 785, 781, 665, 820, 392, 301, 171, 0, 2139, 1871, 1379, 1137, 1713, 966, 773, 552, 821, 605, 333, 167, 0), (2064, 1915, 1838, 1895, 1631, 788, 785, 672, 825, 394, 304, 171, 0, 2157, 1884, 1383, 1145, 1721, 969, 776, 555, 824, 611, 338, 169, 0), (2078, 1931, 1851, 1907, 1644, 791, 785, 675, 831, 395, 306, 172, 0, 2167, 1891, 1388, 1152, 1729, 974, 777, 558, 832, 616, 339, 170, 0), (2092, 1943, 1869, 1917, 1656, 795, 787, 677, 838, 395, 307, 172, 0, 2178, 1895, 1400, 1159, 1744, 980, 782, 559, 836, 621, 343, 172, 0), (2103, 1952, 1883, 1929, 1662, 801, 789, 681, 846, 397, 311, 172, 0, 2195, 1907, 1412, 1164, 1753, 988, 787, 561, 842, 630, 347, 172, 0), (2118, 1961, 1893, 1945, 1669, 807, 796, 683, 848, 400, 313, 173, 0, 2215, 1918, 1425, 1173, 1765, 995, 788, 571, 852, 633, 349, 174, 0), (2135, 1972, 1900, 1961, 1683, 813, 800, 685, 854, 400, 314, 175, 0, 2229, 1930, 1434, 1180, 1782, 1000, 792, 573, 856, 638, 352, 174, 0), (2147, 1983, 1912, 1974, 1691, 818, 805, 690, 860, 402, 315, 175, 0, 2243, 1941, 1440, 1189, 1793, 1007, 796, 577, 862, 643, 355, 175, 0), (2156, 1990, 1921, 1981, 1697, 823, 809, 693, 866, 404, 316, 175, 0, 2263, 1949, 1451, 1201, 1803, 1012, 800, 582, 868, 647, 356, 176, 0), (2170, 1999, 1931, 1994, 1705, 824, 813, 695, 873, 408, 317, 175, 0, 2280, 1964, 1457, 1207, 1815, 1017, 803, 586, 873, 650, 359, 176, 0), (2182, 2003, 1939, 2010, 1715, 828, 818, 699, 878, 409, 318, 176, 0, 2291, 1971, 1464, 1213, 1828, 1020, 805, 589, 876, 653, 361, 178, 0), (2195, 2014, 1956, 2022, 1723, 831, 823, 702, 882, 412, 322, 178, 0, 2307, 1979, 1475, 1217, 1841, 1024, 809, 592, 881, 656, 363, 179, 0), (2205, 2021, 1975, 2032, 1731, 835, 830, 706, 888, 413, 325, 178, 0, 2320, 1989, 1485, 1225, 1853, 1029, 812, 596, 890, 659, 365, 179, 0), (2221, 2031, 1982, 2043, 1742, 838, 835, 715, 891, 415, 327, 178, 0, 2336, 1994, 1494, 1231, 1862, 1031, 813, 597, 895, 665, 371, 179, 0), (2232, 2043, 1988, 2055, 1751, 840, 838, 720, 896, 417, 328, 180, 0, 2343, 2003, 1497, 1235, 1874, 1037, 815, 601, 902, 670, 376, 179, 0), (2243, 2049, 1998, 2064, 1759, 843, 841, 723, 903, 421, 329, 180, 0, 2354, 2017, 1499, 1246, 1886, 1041, 819, 609, 907, 674, 377, 179, 0), (2257, 2060, 2005, 2076, 1771, 848, 848, 731, 910, 424, 331, 181, 0, 2363, 2032, 1513, 1250, 1888, 1048, 823, 615, 908, 679, 383, 181, 0), (2268, 2069, 2015, 2085, 1785, 856, 853, 734, 913, 425, 332, 182, 0, 2378, 2043, 1516, 1256, 1898, 1052, 829, 618, 913, 685, 385, 181, 0), (2282, 2076, 2029, 2100, 1793, 865, 858, 736, 918, 426, 336, 184, 0, 2385, 2053, 1524, 1259, 1908, 1057, 834, 622, 914, 690, 385, 182, 0), (2292, 2087, 2042, 2114, 1799, 878, 861, 737, 925, 429, 336, 186, 0, 2400, 2063, 1537, 1264, 1926, 1062, 838, 624, 921, 694, 393, 183, 0), (2306, 2096, 2049, 2126, 1806, 885, 864, 741, 932, 432, 339, 187, 0, 2416, 2074, 1542, 1268, 1937, 1070, 840, 627, 926, 703, 395, 183, 0), (2317, 2106, 2058, 2139, 1820, 889, 867, 743, 934, 437, 339, 187, 0, 2435, 2080, 1547, 1273, 1947, 1075, 843, 629, 932, 710, 399, 185, 0), (2325, 2112, 2069, 2149, 1833, 896, 870, 748, 940, 441, 339, 188, 0, 2448, 2090, 1549, 1276, 1955, 1083, 848, 633, 938, 712, 405, 185, 0), (2331, 2120, 2084, 2161, 1842, 904, 873, 751, 948, 443, 340, 189, 0, 2463, 2097, 1560, 1279, 1969, 1089, 851, 637, 944, 713, 408, 186, 0), (2343, 2129, 2098, 2166, 1852, 906, 876, 757, 950, 445, 341, 190, 0, 2468, 2110, 1571, 1281, 1978, 1093, 855, 638, 949, 715, 408, 186, 0), (2351, 2136, 2106, 2184, 1857, 910, 879, 762, 951, 446, 341, 192, 0, 2482, 2116, 1580, 1284, 1986, 1098, 858, 641, 952, 717, 411, 187, 0), (2364, 2147, 2113, 2191, 1867, 913, 884, 767, 956, 447, 342, 192, 0, 2485, 2124, 1587, 1289, 1997, 1101, 859, 644, 958, 723, 412, 188, 0), (2380, 2163, 2119, 2206, 1874, 916, 886, 770, 959, 448, 342, 195, 0, 2499, 2143, 1594, 1296, 2007, 1104, 860, 649, 961, 724, 413, 190, 0), (2393, 2169, 2127, 2219, 1890, 918, 890, 779, 963, 448, 343, 195, 0, 2507, 2151, 1598, 1300, 2014, 1109, 862, 654, 966, 729, 414, 190, 0), (2403, 2179, 2136, 2225, 1897, 920, 891, 781, 968, 450, 346, 196, 0, 2517, 2163, 1610, 1306, 2017, 1113, 866, 659, 971, 730, 415, 190, 0), (2414, 2185, 2142, 2235, 1909, 922, 892, 785, 974, 452, 348, 198, 0, 2531, 2176, 1617, 1313, 2027, 1115, 869, 664, 978, 734, 415, 190, 0), (2431, 2188, 2147, 2244, 1916, 926, 894, 787, 979, 454, 348, 198, 0, 2547, 2185, 1624, 1318, 2038, 1119, 869, 668, 983, 741, 415, 190, 0), (2441, 2196, 2155, 2255, 1922, 930, 896, 790, 984, 457, 349, 199, 0, 2555, 2195, 1627, 1322, 2050, 1122, 874, 670, 984, 744, 417, 190, 0), (2447, 2200, 2159, 2259, 1927, 934, 899, 792, 986, 457, 349, 200, 0, 2562, 2201, 1633, 1324, 2059, 1126, 876, 674, 989, 747, 418, 190, 0), (2455, 2206, 2173, 2262, 1935, 940, 901, 794, 991, 457, 350, 201, 0, 2574, 2206, 1637, 1327, 2069, 1127, 878, 676, 989, 752, 420, 191, 0), (2467, 2213, 2184, 2270, 1941, 946, 905, 795, 995, 458, 350, 201, 0, 2583, 2216, 1642, 1329, 2080, 1130, 881, 678, 994, 754, 420, 191, 0), (2473, 2219, 2193, 2275, 1946, 949, 908, 795, 998, 460, 350, 201, 0, 2592, 2225, 1644, 1331, 2091, 1132, 887, 682, 1001, 756, 422, 192, 0), (2477, 2225, 2199, 2279, 1955, 952, 911, 796, 1004, 461, 351, 201, 0, 2599, 2232, 1651, 1335, 2100, 1138, 887, 684, 1005, 758, 424, 193, 0), (2484, 2229, 2209, 2285, 1959, 955, 913, 797, 1008, 461, 351, 201, 0, 2606, 2247, 1656, 1337, 2106, 1140, 891, 685, 1009, 761, 428, 193, 0), (2491, 2230, 2211, 2289, 1963, 955, 915, 799, 1010, 461, 351, 201, 0, 2615, 2253, 1658, 1343, 2109, 1143, 893, 688, 1011, 761, 430, 193, 0), (2494, 2232, 2216, 2292, 1966, 955, 920, 802, 1014, 461, 353, 201, 0, 2618, 2257, 1663, 1349, 2113, 1146, 898, 689, 1013, 762, 435, 194, 0), (2494, 2232, 2216, 2292, 1966, 955, 920, 802, 1014, 461, 353, 201, 0, 2618, 2257, 1663, 1349, 2113, 1146, 898, 689, 1013, 762, 435, 194, 0)) passenger_arriving_rate = ((8.033384925394829, 8.103756554216645, 6.9483776394833425, 7.45760132863612, 5.924997981450252, 2.9294112699015167, 3.3168284922991322, 3.102117448652949, 3.2480528331562706, 1.5832060062089484, 1.1214040437028276, 0.6530553437741565, 0.0, 8.134208340125381, 7.183608781515721, 5.607020218514138, 4.749618018626844, 6.496105666312541, 4.342964428114128, 3.3168284922991322, 2.0924366213582264, 2.962498990725126, 2.4858671095453735, 1.3896755278966686, 0.7367051412924223, 0.0), (8.566923443231959, 8.638755684745645, 7.407128788440204, 7.95017310393194, 6.317323026639185, 3.122918011773052, 3.535575153010955, 3.306342481937139, 3.462530840710885, 1.6875922769108604, 1.1954923029216353, 0.6961622214419141, 0.0, 8.671666635903767, 7.657784435861053, 5.9774615146081755, 5.06277683073258, 6.92506168142177, 4.628879474711995, 3.535575153010955, 2.230655722695037, 3.1586615133195926, 2.650057701310647, 1.4814257576880407, 0.7853414258859679, 0.0), (9.09875681436757, 9.171631583973436, 7.864056380729885, 8.440785245597754, 6.708227171999727, 3.3156527735449486, 3.7534548063685635, 3.5097501652696135, 3.676152963668026, 1.7915655100082188, 1.269286173007017, 0.7390976869404075, 0.0, 9.206983725135505, 8.13007455634448, 6.346430865035084, 5.374696530024655, 7.352305927336052, 4.913650231377459, 3.7534548063685635, 2.3683234096749635, 3.3541135859998636, 2.8135950818659183, 1.5728112761459772, 0.8337846894521307, 0.0), (9.6268124690345, 9.70027006950679, 8.317347825759807, 8.927491689038488, 7.096172454402028, 3.5068512477461056, 3.9696029133183646, 3.7115341049963386, 3.8880720858245827, 1.8947130793704727, 1.3424929098206355, 0.7816914246573948, 0.0, 9.738036490006762, 8.598605671231342, 6.712464549103178, 5.684139238111417, 7.7761441716491655, 5.196147746994874, 3.9696029133183646, 2.5048937483900753, 3.548086227201014, 2.97583056301283, 1.6634695651519613, 0.8818427335915264, 0.0), (10.149017837465571, 10.222556958952469, 8.765190532937382, 9.408346369659084, 7.479620910716259, 3.6957491269054237, 4.183154934806767, 3.910887907463277, 4.097441090977444, 1.996622358867072, 1.4148197692241535, 0.8237731189806353, 0.0, 10.262701812703709, 9.061504308786986, 7.074098846120767, 5.9898670766012145, 8.194882181954888, 5.475243070448588, 4.183154934806767, 2.6398208049324454, 3.7398104553581293, 3.136115456553029, 1.7530381065874767, 0.9293233599047701, 0.0), (10.663300349893618, 10.736378069917262, 9.205771911670025, 9.881403222864472, 7.8570345778125645, 3.8815821035518008, 4.393246331780179, 4.1070051790163955, 4.303412862923498, 2.096880722367466, 1.4859740070792353, 0.8651724542978865, 0.0, 10.778856575412524, 9.51689699727675, 7.429870035396177, 6.290642167102396, 8.606825725846996, 5.749807250622953, 4.393246331780179, 2.772558645394143, 3.9285172889062823, 3.2938010742881585, 1.841154382334005, 0.9760343699924785, 0.0), (11.167587436551466, 11.239619220007935, 9.637279371365155, 10.344716184059584, 8.226875492561113, 4.06358587021414, 4.59901256518501, 4.299079526001659, 4.5051402854596345, 2.195075543741104, 1.555662879247542, 0.9057191149969079, 0.0, 11.284377660319372, 9.962910264965986, 7.77831439623771, 6.5852266312233105, 9.010280570919269, 6.018711336402323, 4.59901256518501, 2.902561335867243, 4.113437746280557, 3.448238728019862, 1.9274558742730312, 1.021783565455267, 0.0), (11.65980652767195, 11.73016622683126, 10.05790032143018, 10.796339188649355, 8.587605691832056, 4.2409961194213395, 4.799589095967668, 4.486304554765035, 4.701776242382744, 2.2907941968574352, 1.6235936415907386, 0.9452427854654573, 0.0, 11.777141949610431, 10.397670640120028, 8.117968207953693, 6.872382590572304, 9.403552484765488, 6.280826376671049, 4.799589095967668, 3.029282942443814, 4.293802845916028, 3.598779729549786, 2.0115800642860364, 1.066378747893751, 0.0), (12.137885053487896, 12.205904907994013, 10.465822171272528, 11.234326172038713, 8.937687212495558, 4.413048543702297, 4.994111385074558, 4.667873871652484, 4.89247361748971, 2.3836240555859103, 1.6894735499704858, 0.9835731500912939, 0.0, 12.255026325471867, 10.81930465100423, 8.447367749852429, 7.150872166757729, 9.78494723497942, 6.535023420313477, 4.994111385074558, 3.152177531215927, 4.468843606247779, 3.744775390679572, 2.093164434254506, 1.1096277189085468, 0.0), (12.599750444232136, 12.664721081102966, 10.859232330299607, 11.656731069632603, 9.27558209142177, 4.578978835585919, 5.181714893452096, 4.842981083009976, 5.076385294577426, 2.4731524937959772, 1.7530098602484476, 1.0205398932621754, 0.0, 12.71590767008986, 11.225938825883926, 8.765049301242238, 7.41945748138793, 10.152770589154851, 6.780173516213966, 5.181714893452096, 3.270699168275656, 4.637791045710885, 3.8855770232108684, 2.1718464660599213, 1.1513382801002698, 0.0), (13.043330130137491, 13.104500563764889, 11.236318207918833, 12.061607816835945, 9.599752365480853, 4.7380226876011005, 5.361535082046684, 5.010819795183474, 5.252664157442781, 2.558966885357086, 1.8139098282862867, 1.0559726993658605, 0.0, 13.157662865650577, 11.615699693024464, 9.069549141431432, 7.676900656071258, 10.505328314885562, 7.015147713256865, 5.361535082046684, 3.3843019197150714, 4.799876182740427, 4.020535938945316, 2.247263641583767, 1.1913182330695355, 0.0), (13.466551541436809, 13.52312917358657, 11.595267213537621, 12.447010349053677, 9.908660071542968, 4.889415792276744, 5.532707411804733, 5.170583614518944, 5.420463089882663, 2.640654604138688, 1.8718807099456667, 1.0897012527901082, 0.0, 13.57816879434018, 11.986713780691188, 9.359403549728333, 7.921963812416063, 10.840926179765326, 7.238817060326522, 5.532707411804733, 3.4924398516262456, 4.954330035771484, 4.14900344968456, 2.3190534427075247, 1.229375379416961, 0.0), (13.8673421083629, 13.918492728174757, 11.934266756563387, 12.810992601690735, 10.200767246478268, 5.032393842141746, 5.694367343672649, 5.321466147362347, 5.578934975693962, 2.7178030240102293, 1.9266297610882495, 1.1215552379226759, 0.0, 13.975302338344855, 12.337107617149433, 9.633148805441246, 8.153409072030687, 11.157869951387925, 7.4500526063072865, 5.694367343672649, 3.5945670301012465, 5.100383623239134, 4.270330867230246, 2.3868533513126775, 1.26531752074316, 0.0), (14.243629261148602, 14.288477045136244, 12.251504246403549, 13.151608510152053, 10.474535927156907, 5.166192529725009, 5.845650338596845, 5.462661000059654, 5.727232698673564, 2.7899995188411624, 1.9778642375756985, 1.1513643391513229, 0.0, 14.346940379850777, 12.66500773066455, 9.889321187878492, 8.369998556523486, 11.454465397347128, 7.647725400083517, 5.845650338596845, 3.6901375212321494, 5.237267963578454, 4.383869503384019, 2.45030084928071, 1.2989524586487495, 0.0), (14.593340430026746, 14.630967942077797, 12.54516709246553, 13.466912009842552, 10.728428150449055, 5.2900475475554325, 5.9856918575237295, 5.593361778956831, 5.864509142618358, 2.856831462500934, 2.0252913952696763, 1.1789582408638082, 0.0, 14.690959801044102, 12.968540649501888, 10.12645697634838, 8.570494387502801, 11.729018285236716, 7.830706490539565, 5.9856918575237295, 3.778605391111023, 5.3642140752245275, 4.488970669947518, 2.509033418493106, 1.3300879947343454, 0.0), (14.914403045230168, 14.943851236606186, 12.813442704156724, 13.754957036167184, 10.960905953224861, 5.403194588161918, 6.1136273613997005, 5.7127620903998375, 5.989917191325237, 2.917886228858997, 2.0686184900318456, 1.2041666274478897, 0.0, 15.00523748411101, 13.245832901926784, 10.343092450159226, 8.753658686576989, 11.979834382650473, 7.997866926559773, 6.1136273613997005, 3.8594247058299413, 5.480452976612431, 4.584985678722395, 2.562688540831345, 1.3585319306005625, 0.0), (15.204744536991681, 15.225012746328195, 13.054518490884568, 14.013797524530858, 11.170431372354487, 5.504869344073363, 6.228592311171181, 5.820055540734641, 6.102609728591085, 2.972751191784799, 2.1075527777238703, 1.2268191832913256, 0.0, 15.287650311237673, 13.495011016204579, 10.53776388861935, 8.918253575354395, 12.20521945718217, 8.148077757028497, 6.228592311171181, 3.932049531480973, 5.585215686177244, 4.671265841510287, 2.6109036981769136, 1.384092067848018, 0.0), (15.46229233554412, 15.472338288850588, 13.266581862056471, 14.241487410338536, 11.355466444708094, 5.594307507818667, 6.329722167784569, 5.914435736307213, 6.201739638212791, 3.021013725147788, 2.141801514207413, 1.2467455927818742, 0.0, 15.536075164610265, 13.714201520600614, 10.709007571037066, 9.063041175443361, 12.403479276425582, 8.280210030830098, 6.329722167784569, 3.9959339341561906, 5.677733222354047, 4.747162470112846, 2.6533163724112945, 1.4065762080773265, 0.0), (15.684973871120327, 15.683713681780135, 13.447820227079841, 14.436080628995136, 11.514473207155827, 5.670744771926737, 6.416152392186281, 5.995096283463507, 6.286459803987251, 3.0622612028174157, 2.171071955344136, 1.2637755403072954, 0.0, 15.748388926414954, 13.901530943380248, 10.855359776720679, 9.186783608452245, 12.572919607974502, 8.39313479684891, 6.416152392186281, 4.050531979947669, 5.757236603577914, 4.812026876331712, 2.689564045415968, 1.4257921528891033, 0.0), (15.870716573953118, 15.857024742723624, 13.596420995362104, 14.59563111590558, 11.645913696567856, 5.733416828926462, 6.4870184453227155, 6.061230788549498, 6.355923109711349, 3.0960809986631324, 2.1950713569957014, 1.2777387102553464, 0.0, 15.922468478837914, 14.055125812808807, 10.975356784978505, 9.288242995989394, 12.711846219422698, 8.485723103969297, 6.4870184453227155, 4.095297734947473, 5.822956848283928, 4.865210371968527, 2.7192841990724212, 1.441547703883966, 0.0), (16.01744787427533, 15.990157289287811, 13.710571576310672, 14.718192806474825, 11.748249949814339, 5.781559371346751, 6.54145578814029, 6.112032857911145, 6.409282439181973, 3.1220604865543846, 2.213506975023774, 1.2884647870137858, 0.0, 16.05619070406532, 14.17311265715164, 11.067534875118868, 9.366181459663151, 12.818564878363945, 8.556846001075604, 6.54145578814029, 4.129685265247679, 5.874124974907169, 4.9060642688249425, 2.7421143152621346, 1.4536506626625285, 0.0), (16.123095202319785, 16.080997139079486, 13.78845937933296, 14.801819636107783, 11.819944003765428, 5.8144080917165, 6.578599881585408, 6.1466960978944165, 6.445690676196012, 3.139787040360623, 2.226086065290016, 1.2957834549703726, 0.0, 16.147432484283325, 14.253618004674097, 11.13043032645008, 9.419361121081867, 12.891381352392024, 8.605374537052183, 6.578599881585408, 4.153148636940357, 5.909972001882714, 4.933939878702596, 2.757691875866592, 1.461908830825408, 0.0), (16.18558598831933, 16.12743010970541, 13.82827181383638, 14.844565540209405, 11.85945789529128, 5.83119868256461, 6.59758618660448, 6.164414114845277, 6.464300704550355, 3.148848033951298, 2.232515883656091, 1.2995243985128655, 0.0, 16.194070701678125, 14.294768383641518, 11.162579418280455, 9.446544101853892, 12.92860140910071, 8.630179760783388, 6.59758618660448, 4.1651419161175784, 5.92972894764564, 4.948188513403136, 2.7656543627672763, 1.4661300099732195, 0.0), (16.208629381348224, 16.132927937814358, 13.83323090992227, 14.849916975308645, 11.869580859768103, 5.833333333333334, 6.599843201807471, 6.166329218106997, 6.466627325102881, 3.149916909007774, 2.233322143243131, 1.2999863435451913, 0.0, 16.2, 14.299849778997103, 11.166610716215654, 9.44975072702332, 12.933254650205763, 8.632860905349796, 6.599843201807471, 4.166666666666667, 5.9347904298840515, 4.949972325102882, 2.7666461819844543, 1.4666298125285782, 0.0), (16.225619860854646, 16.12972098765432, 13.832419753086421, 14.849258333333335, 11.875314787855842, 5.833333333333334, 6.598603050108934, 6.163666666666667, 6.466315555555555, 3.149260246913581, 2.2332332210998884, 1.2998781893004117, 0.0, 16.2, 14.298660082304526, 11.166166105499443, 9.44778074074074, 12.93263111111111, 8.629133333333334, 6.598603050108934, 4.166666666666667, 5.937657393927921, 4.949752777777779, 2.7664839506172845, 1.4663382716049385, 0.0), (16.242251568338528, 16.1233996342021, 13.830818472793784, 14.847955246913582, 11.880922608634137, 5.833333333333334, 6.596159122085048, 6.158436213991771, 6.465699588477367, 3.1479675354366723, 2.233056906513697, 1.2996646852613931, 0.0, 16.2, 14.296311537875322, 11.165284532568485, 9.443902606310015, 12.931399176954734, 8.62181069958848, 6.596159122085048, 4.166666666666667, 5.940461304317068, 4.949318415637862, 2.766163694558757, 1.4657636031092822, 0.0), (16.258523230476854, 16.114060448102425, 13.828449016918157, 14.846022530864197, 11.886404126315846, 5.833333333333334, 6.592549374646977, 6.150736625514405, 6.46478732510288, 3.146060283493371, 2.2327947956935614, 1.2993487578113097, 0.0, 16.2, 14.292836335924404, 11.163973978467807, 9.43818085048011, 12.92957465020576, 8.611031275720167, 6.592549374646977, 4.166666666666667, 5.943202063157923, 4.948674176954733, 2.7656898033836312, 1.46491458619113, 0.0), (16.27443357394662, 16.1018, 13.825333333333333, 14.843475, 11.891759145113827, 5.833333333333334, 6.587811764705883, 6.140666666666667, 6.463586666666666, 3.143560000000001, 2.232448484848485, 1.2989333333333337, 0.0, 16.2, 14.288266666666669, 11.162242424242425, 9.430679999999999, 12.927173333333332, 8.596933333333334, 6.587811764705883, 4.166666666666667, 5.945879572556914, 4.947825000000001, 2.765066666666667, 1.4638000000000002, 0.0), (16.2899813254248, 16.08671486053955, 13.821493369913123, 14.840327469135804, 11.896987469240962, 5.833333333333334, 6.581984249172921, 6.12832510288066, 6.462105514403292, 3.140488193872886, 2.232019570187472, 1.2984213382106389, 0.0, 16.2, 14.282634720317025, 11.160097850937358, 9.421464581618656, 12.924211028806583, 8.579655144032923, 6.581984249172921, 4.166666666666667, 5.948493734620481, 4.946775823045269, 2.764298673982625, 1.462428623685414, 0.0), (16.3051652115884, 16.0689016003658, 13.816951074531323, 14.83659475308642, 11.902088902910101, 5.833333333333334, 6.575104784959253, 6.113810699588477, 6.460351769547325, 3.1368663740283504, 2.2315096479195247, 1.2978156988263985, 0.0, 16.2, 14.27597268709038, 11.157548239597624, 9.41059912208505, 12.92070353909465, 8.559334979423868, 6.575104784959253, 4.166666666666667, 5.951044451455051, 4.945531584362141, 2.763390214906265, 1.460809236396891, 0.0), (16.319983959114396, 16.04845679012346, 13.811728395061728, 14.832291666666666, 11.907063250334119, 5.833333333333334, 6.567211328976035, 6.097222222222222, 6.458333333333333, 3.1327160493827173, 2.230920314253648, 1.297119341563786, 0.0, 16.2, 14.268312757201645, 11.15460157126824, 9.398148148148149, 12.916666666666666, 8.536111111111111, 6.567211328976035, 4.166666666666667, 5.953531625167059, 4.944097222222223, 2.7623456790123457, 1.458950617283951, 0.0), (16.334436294679772, 16.02547700045725, 13.805847279378145, 14.82743302469136, 11.911910315725876, 5.833333333333334, 6.558341838134432, 6.078658436213992, 6.456058106995885, 3.1280587288523103, 2.2302531653988447, 1.296335192805975, 0.0, 16.2, 14.259687120865724, 11.151265826994223, 9.384176186556928, 12.91211621399177, 8.510121810699589, 6.558341838134432, 4.166666666666667, 5.955955157862938, 4.942477674897121, 2.761169455875629, 1.4568615454961138, 0.0), (16.34852094496153, 16.00005880201189, 13.799329675354366, 14.82203364197531, 11.916629903298237, 5.833333333333334, 6.548534269345599, 6.058218106995886, 6.453533991769548, 3.1229159213534534, 2.229509797564119, 1.2954661789361381, 0.0, 16.2, 14.250127968297518, 11.147548987820594, 9.368747764060357, 12.907067983539095, 8.48150534979424, 6.548534269345599, 4.166666666666667, 5.958314951649118, 4.940677880658438, 2.759865935070873, 1.4545508001828993, 0.0), (16.362236636636634, 15.972298765432097, 13.792197530864199, 14.816108333333332, 11.921221817264065, 5.833333333333334, 6.537826579520697, 6.0360000000000005, 6.450768888888889, 3.1173091358024703, 2.228691806958474, 1.2945152263374486, 0.0, 16.2, 14.239667489711932, 11.143459034792368, 9.351927407407409, 12.901537777777778, 8.450400000000002, 6.537826579520697, 4.166666666666667, 5.960610908632033, 4.938702777777778, 2.75843950617284, 1.452027160493827, 0.0), (16.375582096382097, 15.942293461362596, 13.784472793781436, 14.809671913580248, 11.92568586183623, 5.833333333333334, 6.526256725570888, 6.012102880658436, 6.447770699588479, 3.111259881115685, 2.2278007897909133, 1.2934852613930805, 0.0, 16.2, 14.228337875323884, 11.139003948954567, 9.333779643347052, 12.895541399176958, 8.41694403292181, 6.526256725570888, 4.166666666666667, 5.962842930918115, 4.93655730452675, 2.7568945587562874, 1.449299405578418, 0.0), (16.388556050874893, 15.9101394604481, 13.776177411979882, 14.802739197530864, 11.930021841227594, 5.833333333333334, 6.513862664407327, 5.986625514403293, 6.4445473251028815, 3.1047896662094203, 2.226838342270441, 1.2923792104862066, 0.0, 16.2, 14.216171315348271, 11.134191711352205, 9.314368998628257, 12.889094650205763, 8.381275720164611, 6.513862664407327, 4.166666666666667, 5.965010920613797, 4.934246399176955, 2.755235482395977, 1.4463763145861912, 0.0), (16.40115722679201, 15.87593333333333, 13.767333333333335, 14.795325, 11.934229559651024, 5.833333333333334, 6.500682352941176, 5.959666666666668, 6.441106666666666, 3.097920000000001, 2.225806060606061, 1.2912000000000003, 0.0, 16.2, 14.203200000000002, 11.129030303030303, 9.29376, 12.882213333333333, 8.343533333333335, 6.500682352941176, 4.166666666666667, 5.967114779825512, 4.931775000000001, 2.753466666666667, 1.4432666666666667, 0.0), (16.41338435081044, 15.839771650663007, 13.757962505715593, 14.78744413580247, 11.938308821319383, 5.833333333333334, 6.486753748083595, 5.931325102880659, 6.437456625514404, 3.090672391403751, 2.2247055410067764, 1.2899505563176348, 0.0, 16.2, 14.18945611949398, 11.123527705033881, 9.27201717421125, 12.874913251028808, 8.303855144032923, 6.486753748083595, 4.166666666666667, 5.969154410659692, 4.929148045267491, 2.751592501143119, 1.4399792409693644, 0.0), (16.425236149607162, 15.801750983081849, 13.748086877000459, 14.77911141975309, 11.942259430445535, 5.833333333333334, 6.4721148067457435, 5.901699588477367, 6.433605102880659, 3.0830683493369926, 2.22353837968159, 1.2886338058222835, 0.0, 16.2, 14.174971864045116, 11.11769189840795, 9.249205048010975, 12.867210205761317, 8.262379423868314, 6.4721148067457435, 4.166666666666667, 5.971129715222768, 4.926370473251031, 2.7496173754000917, 1.4365228166438047, 0.0), (16.436711349859177, 15.761967901234568, 13.737728395061731, 14.770341666666667, 11.94608119124235, 5.833333333333334, 6.456803485838781, 5.8708888888888895, 6.42956, 3.0751293827160504, 2.2223061728395064, 1.2872526748971194, 0.0, 16.2, 14.159779423868311, 11.111530864197531, 9.225388148148149, 12.85912, 8.219244444444445, 6.456803485838781, 4.166666666666667, 5.973040595621175, 4.923447222222223, 2.7475456790123465, 1.4329061728395065, 0.0), (16.44780867824346, 15.720518975765888, 13.726909007773205, 14.761149691358025, 11.949773907922687, 5.833333333333334, 6.440857742273865, 5.838991769547327, 6.425329218106996, 3.0668770004572488, 2.2210105166895295, 1.2858100899253166, 0.0, 16.2, 14.143910989178481, 11.105052583447646, 9.200631001371743, 12.850658436213992, 8.174588477366258, 6.440857742273865, 4.166666666666667, 5.974886953961343, 4.920383230452676, 2.745381801554641, 1.42913808870599, 0.0), (16.458526861437004, 15.677500777320528, 13.71565066300869, 14.751550308641978, 11.953337384699417, 5.833333333333334, 6.424315532962156, 5.806106995884774, 6.420920658436214, 3.05833271147691, 2.2196530074406624, 1.2843089772900476, 0.0, 16.2, 14.12739875019052, 11.09826503720331, 9.174998134430727, 12.841841316872427, 8.128549794238685, 6.424315532962156, 4.166666666666667, 5.976668692349708, 4.9171834362139935, 2.743130132601738, 1.4252273433927756, 0.0), (16.4688646261168, 15.633009876543213, 13.70397530864198, 14.741558333333336, 11.956771425785394, 5.833333333333334, 6.4072148148148145, 5.772333333333334, 6.416342222222223, 3.049518024691359, 2.2182352413019086, 1.282752263374486, 0.0, 16.2, 14.110274897119341, 11.091176206509541, 9.148554074074074, 12.832684444444446, 8.081266666666668, 6.4072148148148145, 4.166666666666667, 5.978385712892697, 4.913852777777779, 2.740795061728396, 1.421182716049383, 0.0), (16.47882069895983, 15.587142844078647, 13.69190489254687, 14.731188580246915, 11.960075835393496, 5.833333333333334, 6.389593544743001, 5.737769547325104, 6.4116018106995885, 3.040454449016919, 2.2167588144822714, 1.281142874561805, 0.0, 16.2, 14.092571620179852, 11.083794072411356, 9.121363347050755, 12.823203621399177, 8.032877366255146, 6.389593544743001, 4.166666666666667, 5.980037917696748, 4.9103961934156395, 2.738380978509374, 1.4170129858253318, 0.0), (16.488393806643085, 15.539996250571559, 13.679461362597166, 14.720455864197532, 11.963250417736582, 5.833333333333334, 6.371489679657872, 5.702514403292183, 6.4067073251028805, 3.031163493369914, 2.2152253231907557, 1.279483737235178, 0.0, 16.2, 14.074321109586954, 11.076126615953777, 9.09349048010974, 12.813414650205761, 7.983520164609057, 6.371489679657872, 4.166666666666667, 5.981625208868291, 4.906818621399179, 2.7358922725194335, 1.4127269318701419, 0.0), (16.497582675843546, 15.491666666666667, 13.66666666666667, 14.709375000000001, 11.966294977027516, 5.833333333333334, 6.352941176470589, 5.666666666666668, 6.4016666666666655, 3.021666666666668, 2.213636363636364, 1.277777777777778, 0.0, 16.2, 14.055555555555554, 11.068181818181818, 9.065000000000001, 12.803333333333331, 7.9333333333333345, 6.352941176470589, 4.166666666666667, 5.983147488513758, 4.903125000000001, 2.733333333333334, 1.4083333333333337, 0.0), (16.50638603323821, 15.442250663008686, 13.653542752629173, 14.697960802469137, 11.969209317479164, 5.833333333333334, 6.333985992092311, 5.63032510288066, 6.396487736625514, 3.0119854778235036, 2.2119935320281, 1.2760279225727789, 0.0, 16.2, 14.036307148300564, 11.059967660140499, 9.035956433470508, 12.792975473251028, 7.882455144032924, 6.333985992092311, 4.166666666666667, 5.984604658739582, 4.899320267489713, 2.730708550525835, 1.4038409693644263, 0.0), (16.514802605504055, 15.391844810242342, 13.640111568358483, 14.686228086419753, 11.971993243304391, 5.833333333333334, 6.3146620834341975, 5.593588477366255, 6.391178436213992, 3.0021414357567453, 2.210298424574968, 1.2742370980033535, 0.0, 16.2, 14.016608078036885, 11.051492122874839, 9.006424307270233, 12.782356872427984, 7.831023868312758, 6.3146620834341975, 4.166666666666667, 5.985996621652196, 4.895409362139919, 2.728022313671697, 1.3992586191129404, 0.0), (16.522831119318074, 15.340545679012347, 13.626395061728397, 14.674191666666669, 11.974646558716064, 5.833333333333334, 6.295007407407407, 5.556555555555557, 6.385746666666667, 2.9921560493827166, 2.208552637485971, 1.272408230452675, 0.0, 16.2, 13.996490534979422, 11.042763187429854, 8.976468148148149, 12.771493333333334, 7.77917777777778, 6.295007407407407, 4.166666666666667, 5.987323279358032, 4.891397222222224, 2.7252790123456796, 1.3945950617283953, 0.0), (16.53047030135726, 15.288449839963418, 13.612415180612713, 14.661866358024692, 11.977169067927047, 5.833333333333334, 6.275059920923102, 5.519325102880659, 6.380200329218106, 2.982050827617742, 2.2067577669701133, 1.2705442463039174, 0.0, 16.2, 13.97598670934309, 11.033788834850565, 8.946152482853226, 12.760400658436213, 7.727055144032923, 6.275059920923102, 4.166666666666667, 5.9885845339635235, 4.887288786008232, 2.7224830361225427, 1.389859076360311, 0.0), (16.537718878298588, 15.235653863740286, 13.598193872885233, 14.649266975308642, 11.979560575150202, 5.833333333333334, 6.25485758089244, 5.481995884773663, 6.3745473251028795, 2.971847279378144, 2.204915409236397, 1.2686480719402533, 0.0, 16.2, 13.955128791342785, 11.024577046181985, 8.91554183813443, 12.749094650205759, 7.674794238683129, 6.25485758089244, 4.166666666666667, 5.989780287575101, 4.883088991769548, 2.7196387745770467, 1.385059442158208, 0.0), (16.544575576819057, 15.182254320987655, 13.583753086419755, 14.636408333333335, 11.981820884598399, 5.833333333333334, 6.23443834422658, 5.4446666666666665, 6.368795555555556, 2.9615669135802474, 2.2030271604938276, 1.2667226337448563, 0.0, 16.2, 13.933948971193416, 11.015135802469137, 8.88470074074074, 12.737591111111112, 7.622533333333334, 6.23443834422658, 4.166666666666667, 5.9909104422991994, 4.878802777777779, 2.716750617283951, 1.380204938271605, 0.0), (16.551039123595647, 15.128347782350252, 13.56911476909008, 14.623305246913581, 11.983949800484496, 5.833333333333334, 6.213840167836683, 5.407436213991769, 6.3629529218107, 2.9512312391403754, 2.2010946169514076, 1.2647708581008996, 0.0, 16.2, 13.912479439109894, 11.005473084757037, 8.853693717421125, 12.7259058436214, 7.570410699588477, 6.213840167836683, 4.166666666666667, 5.991974900242248, 4.874435082304528, 2.713822953818016, 1.3753043438500232, 0.0), (16.55710824530535, 15.074030818472796, 13.554300868770008, 14.609972530864198, 11.985947127021364, 5.833333333333334, 6.1931010086339064, 5.370403292181071, 6.357027325102881, 2.940861764974852, 2.1991193748181406, 1.2627956713915565, 0.0, 16.2, 13.890752385307119, 10.995596874090701, 8.822585294924554, 12.714054650205762, 7.518564609053499, 6.1931010086339064, 4.166666666666667, 5.992973563510682, 4.8699908436214, 2.710860173754002, 1.3703664380429816, 0.0), (16.562781668625146, 15.019400000000001, 13.539333333333333, 14.596425, 11.987812668421869, 5.833333333333334, 6.172258823529412, 5.333666666666667, 6.351026666666667, 2.9304800000000006, 2.19710303030303, 1.2608000000000001, 0.0, 16.2, 13.8688, 10.98551515151515, 8.791440000000001, 12.702053333333334, 7.467133333333333, 6.172258823529412, 4.166666666666667, 5.993906334210934, 4.865475000000001, 2.707866666666667, 1.3654000000000004, 0.0), (16.568058120232035, 14.964551897576587, 13.524234110653865, 14.582677469135803, 11.989546228898869, 5.833333333333334, 6.151351569434358, 5.2973251028806585, 6.344958847736625, 2.9201074531321454, 2.1950471796150812, 1.2587867703094042, 0.0, 16.2, 13.846654473403445, 10.975235898075404, 8.760322359396435, 12.68991769547325, 7.416255144032922, 6.151351569434358, 4.166666666666667, 5.994773114449434, 4.860892489711935, 2.704846822130773, 1.360413808870599, 0.0), (16.572936326802996, 14.909583081847279, 13.509025148605396, 14.56874475308642, 11.991147612665237, 5.833333333333334, 6.130417203259905, 5.261477366255145, 6.338831769547324, 2.9097656332876096, 2.1929534189632958, 1.2567589087029418, 0.0, 16.2, 13.824347995732358, 10.964767094816478, 8.729296899862828, 12.677663539094649, 7.366068312757203, 6.130417203259905, 4.166666666666667, 5.995573806332619, 4.856248251028807, 2.7018050297210796, 1.3554166438042983, 0.0), (16.577415015015013, 14.85459012345679, 13.493728395061732, 14.554641666666669, 11.99261662393383, 5.833333333333334, 6.109493681917211, 5.226222222222224, 6.332653333333334, 2.899476049382717, 2.1908233445566783, 1.254719341563786, 0.0, 16.2, 13.801912757201645, 10.95411672278339, 8.69842814814815, 12.665306666666668, 7.316711111111113, 6.109493681917211, 4.166666666666667, 5.996308311966915, 4.851547222222224, 2.6987456790123465, 1.3504172839506174, 0.0), (16.581492911545087, 14.79966959304984, 13.478365797896664, 14.540383024691359, 11.99395306691752, 5.833333333333334, 6.088618962317438, 5.191658436213992, 6.326431440329218, 2.8892602103337914, 2.1886585526042324, 1.2526709952751107, 0.0, 16.2, 13.779380948026215, 10.943292763021162, 8.667780631001373, 12.652862880658436, 7.2683218106995895, 6.088618962317438, 4.166666666666667, 5.99697653345876, 4.846794341563787, 2.695673159579333, 1.3454245084590766, 0.0), (16.585168743070195, 14.744918061271147, 13.462959304983997, 14.525983641975309, 11.995156745829167, 5.833333333333334, 6.067831001371743, 5.157884773662552, 6.320173991769548, 2.879139625057157, 2.1864606393149604, 1.2506167962200887, 0.0, 16.2, 13.756784758420972, 10.9323031965748, 8.63741887517147, 12.640347983539096, 7.221038683127573, 6.067831001371743, 4.166666666666667, 5.9975783729145835, 4.841994547325104, 2.6925918609968, 1.3404470964791952, 0.0), (16.588441236267325, 14.690432098765434, 13.44753086419753, 14.511458333333334, 11.996227464881638, 5.833333333333334, 6.0471677559912855, 5.125000000000001, 6.31388888888889, 2.8691358024691365, 2.184231200897868, 1.2485596707818931, 0.0, 16.2, 13.734156378600822, 10.921156004489339, 8.607407407407408, 12.62777777777778, 7.175000000000001, 6.0471677559912855, 4.166666666666667, 5.998113732440819, 4.837152777777779, 2.6895061728395064, 1.3354938271604941, 0.0), (16.591309117813463, 14.636308276177413, 13.432102423411067, 14.496821913580249, 11.997165028287798, 5.833333333333334, 6.026667183087227, 5.093102880658437, 6.3075840329218105, 2.8592702514860546, 2.1819718335619576, 1.246502545343698, 0.0, 16.2, 13.711527998780674, 10.909859167809786, 8.577810754458163, 12.615168065843621, 7.130344032921811, 6.026667183087227, 4.166666666666667, 5.998582514143899, 4.832273971193417, 2.6864204846822135, 1.3305734796524924, 0.0), (16.593771114385607, 14.582643164151806, 13.416695930498403, 14.482089197530867, 11.997969240260517, 5.833333333333334, 6.006367239570725, 5.062292181069959, 6.301267325102881, 2.849564481024235, 2.1796841335162327, 1.2444483462886757, 0.0, 16.2, 13.68893180917543, 10.898420667581162, 8.548693443072704, 12.602534650205762, 7.0872090534979435, 6.006367239570725, 4.166666666666667, 5.998984620130258, 4.827363065843623, 2.6833391860996807, 1.3256948331047098, 0.0), (16.595825952660736, 14.529533333333333, 13.401333333333335, 14.467275000000003, 11.998639905012647, 5.833333333333334, 5.986305882352941, 5.0326666666666675, 6.294946666666666, 2.8400400000000006, 2.1773696969696976, 1.2424000000000002, 0.0, 16.2, 13.6664, 10.886848484848487, 8.52012, 12.589893333333332, 7.045733333333335, 5.986305882352941, 4.166666666666667, 5.999319952506323, 4.822425000000002, 2.6802666666666672, 1.3208666666666669, 0.0), (16.597472359315837, 14.477075354366713, 13.386036579789668, 14.452394135802471, 11.999176826757065, 5.833333333333334, 5.966521068345034, 5.004325102880659, 6.288629958847737, 2.830718317329676, 2.1750301201313547, 1.2403604328608446, 0.0, 16.2, 13.64396476146929, 10.875150600656774, 8.492154951989026, 12.577259917695473, 7.006055144032923, 5.966521068345034, 4.166666666666667, 5.999588413378532, 4.817464711934158, 2.6772073159579337, 1.316097759487883, 0.0), (16.5987090610279, 14.425365797896662, 13.370827617741199, 14.437461419753088, 11.999579809706631, 5.833333333333334, 5.947050754458163, 4.977366255144033, 6.282325102880659, 2.8216209419295843, 2.1726669992102097, 1.238332571254382, 0.0, 16.2, 13.6216582837982, 10.863334996051048, 8.464862825788751, 12.564650205761318, 6.968312757201646, 5.947050754458163, 4.166666666666667, 5.999789904853316, 4.812487139917697, 2.67416552354824, 1.3113968907178786, 0.0), (16.599534784473914, 14.374501234567903, 13.35572839506173, 14.422491666666668, 11.99984865807421, 5.833333333333334, 5.927932897603486, 4.95188888888889, 6.27604, 2.81276938271605, 2.170281930415264, 1.2363193415637863, 0.0, 16.2, 13.599512757201648, 10.851409652076319, 8.438308148148149, 12.55208, 6.932644444444446, 5.927932897603486, 4.166666666666667, 5.999924329037105, 4.807497222222223, 2.6711456790123465, 1.3067728395061733, 0.0), (16.59994825633087, 14.324578235025148, 13.340760859625059, 14.407499691358025, 11.999983176072671, 5.833333333333334, 5.909205454692165, 4.927991769547327, 6.269782551440329, 2.8041851486053964, 2.1678765099555233, 1.23432367017223, 0.0, 16.2, 13.577560371894528, 10.839382549777614, 8.412555445816189, 12.539565102880658, 6.899188477366257, 5.909205454692165, 4.166666666666667, 5.999991588036336, 4.802499897119342, 2.6681521719250116, 1.3022343850022864, 0.0), (16.59966658316932, 14.275431337669806, 13.325874599908552, 14.39237008856683, 11.999869818983834, 5.833225077478026, 5.890812155863717, 4.905562566681908, 6.263513519280598, 2.795848176658867, 2.1654095969441007, 1.2323373362532992, 0.0, 16.19980024005487, 13.555710698786289, 10.827047984720503, 8.3875445299766, 12.527027038561195, 6.867787593354672, 5.890812155863717, 4.166589341055733, 5.999934909491917, 4.797456696188944, 2.6651749199817103, 1.29776648524271, 0.0), (16.597026731078905, 14.22556009557945, 13.310651234567901, 14.376340217391304, 11.998838053740013, 5.832369272976682, 5.872214545077291, 4.8833991769547325, 6.256958847736625, 2.7875225562817723, 2.162630090377459, 1.2302958631145768, 0.0, 16.198217592592595, 13.533254494260342, 10.813150451887294, 8.362567668845315, 12.51391769547325, 6.8367588477366255, 5.872214545077291, 4.165978052126201, 5.999419026870006, 4.792113405797102, 2.66213024691358, 1.2932327359617684, 0.0), (16.59181726009423, 14.174735607770254, 13.295024577046181, 14.359304549114333, 11.996799268404205, 5.8306838388457045, 5.853328107649096, 4.861301630848957, 6.2500815424477985, 2.7791678097850943, 2.159506369740288, 1.228189701505708, 0.0, 16.195091735253776, 13.510086716562785, 10.797531848701441, 8.337503429355282, 12.500163084895597, 6.80582228318854, 5.853328107649096, 4.164774170604074, 5.998399634202102, 4.786434849704778, 2.6590049154092363, 1.2886123279791142, 0.0), (16.584111457028687, 14.122988247267578, 13.279000114311843, 14.341288204508857, 11.993779284004411, 5.828196087994717, 5.8341613276311906, 4.8392772443225125, 6.242891845755221, 2.7707841437370564, 2.1560499655423633, 1.226020391628362, 0.0, 16.190463820301783, 13.486224307911982, 10.780249827711817, 8.312352431211167, 12.485783691510441, 6.774988142051518, 5.8341613276311906, 4.162997205710512, 5.9968896420022055, 4.780429401502953, 2.6558000228623686, 1.2839080224788708, 0.0), (16.573982608695655, 14.070348387096773, 13.262583333333334, 14.322316304347826, 11.989803921568626, 5.824933333333335, 5.81472268907563, 4.817333333333334, 6.2354, 2.762371764705883, 2.1522724082934617, 1.2237894736842108, 0.0, 16.184375, 13.461684210526316, 10.761362041467306, 8.287115294117648, 12.4708, 6.744266666666667, 5.81472268907563, 4.160666666666668, 5.994901960784313, 4.7741054347826095, 2.6525166666666666, 1.2791225806451614, 0.0), (16.561504001908514, 14.016846400283198, 13.245779721079103, 14.302413969404189, 11.984899002124855, 5.820922887771173, 5.795020676034474, 4.795477213839354, 6.227616247523244, 2.753930879259798, 2.1481852285033574, 1.2214984878749227, 0.0, 16.1768664266118, 13.436483366624147, 10.740926142516786, 8.261792637779392, 12.455232495046488, 6.713668099375096, 5.795020676034474, 4.157802062693695, 5.992449501062428, 4.76747132313473, 2.649155944215821, 1.274258763662109, 0.0), (16.546748923480646, 13.962512659852205, 13.228594764517604, 14.281606320450884, 11.979090346701094, 5.816192064217854, 5.775063772559778, 4.773716201798507, 6.219550830666057, 2.7454616939670253, 2.143799956681829, 1.219148974402169, 0.0, 16.167979252400553, 13.410638718423858, 10.718999783409142, 8.236385081901075, 12.439101661332113, 6.683202682517909, 5.775063772559778, 4.154422903012753, 5.989545173350547, 4.760535440150296, 2.645718952903521, 1.269319332713837, 0.0), (16.52979066022544, 13.90737753882915, 13.211033950617283, 14.259918478260868, 11.972403776325345, 5.810768175582992, 5.754860462703601, 4.752057613168724, 6.211213991769547, 2.7369644153957884, 2.13912812333865, 1.2167424734676198, 0.0, 16.157754629629633, 13.384167208143815, 10.695640616693249, 8.210893246187364, 12.422427983539094, 6.652880658436215, 5.754860462703601, 4.150548696844995, 5.986201888162673, 4.7533061594202906, 2.6422067901234567, 1.2643070489844683, 0.0), (16.510702498956285, 13.851471410239393, 13.193102766346595, 14.237375563607085, 11.964865112025606, 5.804678534776205, 5.734419230517997, 4.730508763907942, 6.2026159731748205, 2.728439250114312, 2.134181258983598, 1.2142805252729445, 0.0, 16.146233710562413, 13.357085778002387, 10.67090629491799, 8.185317750342936, 12.405231946349641, 6.622712269471118, 5.734419230517997, 4.146198953411575, 5.982432556012803, 4.745791854535696, 2.638620553269319, 1.259224673658127, 0.0), (16.48955772648655, 13.794824647108282, 13.174806698673981, 14.21400269726248, 11.956500174829877, 5.797950454707109, 5.7137485600550235, 4.70907696997409, 6.193767017222985, 2.7198864046908207, 2.1289708941264505, 1.2117646700198144, 0.0, 16.13345764746228, 13.329411370217956, 10.64485447063225, 8.15965921407246, 12.38753403444597, 6.592707757963726, 5.7137485600550235, 4.141393181933649, 5.9782500874149385, 4.738000899087494, 2.6349613397347964, 1.254074967918935, 0.0), (16.46642962962963, 13.737467622461173, 13.156151234567902, 14.189825, 11.94733478576616, 5.790611248285322, 5.69285693536674, 4.687769547325104, 6.184677366255142, 2.711306085693537, 2.123508559276981, 1.2091964479098987, 0.0, 16.119467592592596, 13.301160927008882, 10.617542796384903, 8.13391825708061, 12.369354732510285, 6.562877366255145, 5.69285693536674, 4.136150891632373, 5.97366739288308, 4.729941666666668, 2.6312302469135807, 1.248860692951016, 0.0), (16.441391495198904, 13.679430709323423, 13.1371418609968, 14.164867592592593, 11.93739476586245, 5.782688228420464, 5.671752840505201, 4.666593811918916, 6.1753572626124065, 2.702698499690686, 2.117805784944966, 1.2065773991448674, 0.0, 16.104304698216733, 13.27235139059354, 10.58902892472483, 8.108095499072057, 12.350714525224813, 6.533231336686482, 5.671752840505201, 4.130491591728903, 5.968697382931225, 4.721622530864199, 2.6274283721993603, 1.243584609938493, 0.0), (16.414516610007755, 13.620744280720386, 13.117784064929126, 14.139155595813204, 11.92670593614675, 5.774208708022151, 5.650444759522465, 4.645557079713459, 6.165816948635879, 2.694063853250491, 2.111874101640184, 1.2039090639263914, 0.0, 16.08801011659808, 13.242999703190304, 10.559370508200919, 8.082191559751472, 12.331633897271757, 6.503779911598843, 5.650444759522465, 4.1244347914443935, 5.963352968073375, 4.713051865271069, 2.6235568129858255, 1.23824948006549, 0.0), (16.385878260869568, 13.56143870967742, 13.098083333333335, 14.112714130434785, 11.915294117647058, 5.765200000000001, 5.628941176470589, 4.624666666666667, 6.156066666666666, 2.685402352941177, 2.1057250398724086, 1.2011929824561405, 0.0, 16.070625, 13.213122807017545, 10.528625199362043, 8.05620705882353, 12.312133333333332, 6.474533333333334, 5.628941176470589, 4.118, 5.957647058823529, 4.704238043478263, 2.619616666666667, 1.2328580645161293, 0.0), (16.355549734597723, 13.501544369219879, 13.078045153177872, 14.085568317230274, 11.903185131391377, 5.75568941726363, 5.607250575401629, 4.603929888736474, 6.146116659045877, 2.676714205330967, 2.099370130151417, 1.198430694935785, 0.0, 16.052190500685874, 13.182737644293633, 10.496850650757084, 8.030142615992899, 12.292233318091753, 6.445501844231063, 5.607250575401629, 4.111206726616879, 5.951592565695688, 4.695189439076759, 2.6156090306355746, 1.2274131244745345, 0.0), (16.323604318005607, 13.441091632373114, 13.057675011431185, 14.057743276972625, 11.890404798407703, 5.745704272722655, 5.585381440367643, 4.5833540618808115, 6.135977168114616, 2.667999616988085, 2.0928209029869853, 1.195623741566995, 0.0, 16.03274777091907, 13.151861157236944, 10.464104514934926, 8.003998850964255, 12.271954336229232, 6.416695686633136, 5.585381440367643, 4.104074480516182, 5.945202399203851, 4.6859144256575425, 2.6115350022862374, 1.2219174211248287, 0.0), (16.290115297906603, 13.380110872162485, 13.036978395061729, 14.029264130434784, 11.876978939724037, 5.735271879286694, 5.563342255420687, 4.562946502057613, 6.125658436213991, 2.659258794480756, 2.0860888888888893, 1.1927736625514405, 0.0, 16.012337962962963, 13.120510288065844, 10.430444444444445, 7.977776383442267, 12.251316872427982, 6.388125102880658, 5.563342255420687, 4.096622770919067, 5.938489469862018, 4.676421376811596, 2.607395679012346, 1.2163737156511352, 0.0), (16.255155961114095, 13.318632461613346, 13.015960791037951, 14.000155998389694, 11.862933376368382, 5.724419549865368, 5.54114150461282, 4.542714525224815, 6.115170705685108, 2.650491944377203, 2.0791856183669055, 1.1898819980907918, 0.0, 15.991002229080934, 13.088701978998708, 10.395928091834525, 7.951475833131607, 12.230341411370215, 6.35980033531474, 5.54114150461282, 4.088871107046691, 5.931466688184191, 4.666718666129899, 2.6031921582075905, 1.210784769237577, 0.0), (16.21879959444146, 13.256686773751051, 12.994627686328306, 13.970444001610309, 11.84829392936873, 5.713174597368289, 5.518787671996097, 4.522665447340345, 6.104524218869075, 2.64169927324565, 2.0721226219308098, 1.1869502883867193, 0.0, 15.968781721536352, 13.05645317225391, 10.360613109654047, 7.9250978197369495, 12.20904843773815, 6.331731626276483, 5.518787671996097, 4.080838998120206, 5.924146964684365, 4.656814667203437, 2.5989255372656612, 1.2051533430682777, 0.0), (16.18111948470209, 13.194304181600955, 12.972984567901234, 13.940153260869565, 11.833086419753089, 5.7015643347050755, 5.496289241622575, 4.5028065843621405, 6.093729218106997, 2.6328809876543215, 2.0649114300903775, 1.1839800736408925, 0.0, 15.945717592592594, 13.023780810049816, 10.324557150451888, 7.898642962962963, 12.187458436213994, 6.303929218106997, 5.496289241622575, 4.072545953360768, 5.9165432098765445, 4.646717753623189, 2.594596913580247, 1.1994821983273598, 0.0), (16.142188918709373, 13.131515058188414, 12.951036922725194, 13.90930889694042, 11.817336668549451, 5.689616074785349, 5.473654697544313, 4.483145252248133, 6.082795945739979, 2.624037294171441, 2.0575635733553868, 1.1809728940549822, 0.0, 15.921850994513035, 12.990701834604803, 10.287817866776932, 7.8721118825143215, 12.165591891479957, 6.276403353147386, 5.473654697544313, 4.064011481989534, 5.908668334274726, 4.636436298980141, 2.5902073845450393, 1.193774096198947, 0.0), (16.102081183276677, 13.068349776538785, 12.928790237768634, 13.877936030595814, 11.80107049678582, 5.677357130518723, 5.4508925238133665, 4.463688766956257, 6.07173464410913, 2.6151683993652335, 2.050090582235612, 1.1779302898306583, 0.0, 15.897223079561043, 12.957233188137238, 10.250452911178058, 7.845505198095699, 12.14346928821826, 6.24916427373876, 5.4508925238133665, 4.055255093227659, 5.90053524839291, 4.625978676865272, 2.585758047553727, 1.1880317978671624, 0.0), (16.06086956521739, 13.004838709677419, 12.906250000000002, 13.846059782608698, 11.784313725490197, 5.664814814814815, 5.428011204481793, 4.444444444444445, 6.060555555555556, 2.606274509803922, 2.04250398724083, 1.1748538011695908, 0.0, 15.871875000000001, 12.923391812865496, 10.212519936204147, 7.818823529411765, 12.121111111111112, 6.222222222222222, 5.428011204481793, 4.046296296296297, 5.892156862745098, 4.615353260869567, 2.5812500000000003, 1.1822580645161291, 0.0), (16.0186273513449, 12.941012230629672, 12.883421696387746, 13.813705273752014, 11.767092175690575, 5.652016440583244, 5.405019223601649, 4.4254196006706294, 6.049268922420364, 2.597355832055731, 2.0348153188808165, 1.17174496827345, 0.0, 15.845847908093276, 12.889194651007948, 10.174076594404081, 7.792067496167191, 12.098537844840727, 6.195587440938882, 5.405019223601649, 4.037154600416603, 5.883546087845287, 4.604568424584006, 2.5766843392775494, 1.1764556573299705, 0.0), (15.975427828472597, 12.876900712420905, 12.86031081390032, 13.780897624798712, 11.749431668414964, 5.638989320733629, 5.381925065224994, 4.406621551592746, 6.037884987044658, 2.5884125726888843, 2.027036107665348, 1.1686053313439067, 0.0, 15.819182956104251, 12.85465864478297, 10.135180538326738, 7.765237718066651, 12.075769974089315, 6.169270172229845, 5.381925065224994, 4.027849514809735, 5.874715834207482, 4.593632541599572, 2.5720621627800644, 1.1706273374928098, 0.0), (15.931344283413848, 12.812534528076466, 12.836922839506174, 13.747661956521743, 11.731358024691357, 5.625760768175583, 5.358737213403881, 4.388057613168725, 6.026413991769548, 2.5794449382716054, 2.0191778841042, 1.1654364305826295, 0.0, 15.791921296296294, 12.819800736408922, 10.095889420521, 7.738334814814815, 12.052827983539096, 6.143280658436215, 5.358737213403881, 4.018400548696845, 5.865679012345678, 4.582553985507248, 2.567384567901235, 1.1647758661887697, 0.0), (15.886450002982048, 12.74794405062171, 12.813263260173755, 13.714023389694043, 11.712897065547754, 5.612358095818728, 5.335464152190369, 4.369735101356501, 6.014866178936138, 2.5704531353721194, 2.01125217870715, 1.16223980619129, 0.0, 15.764104080932785, 12.784637868104188, 10.056260893535747, 7.711359406116356, 12.029732357872277, 6.117629141899102, 5.335464152190369, 4.008827211299091, 5.856448532773877, 4.571341129898015, 2.5626526520347515, 1.1589040046019738, 0.0), (15.840818273990577, 12.683159653081995, 12.789337562871514, 13.680007045088567, 11.694074612012159, 5.598808616572678, 5.312114365636515, 4.351661332114007, 6.003251790885536, 2.561437370558649, 2.0032705219839726, 1.1590169983715575, 0.0, 15.735772462277092, 12.749186982087132, 10.016352609919863, 7.684312111675945, 12.006503581771073, 6.09232586495961, 5.312114365636515, 3.999149011837627, 5.847037306006079, 4.560002348362857, 2.5578675125743033, 1.1530145139165453, 0.0), (15.79452238325282, 12.61821170848268, 12.765151234567902, 13.645638043478261, 11.674916485112563, 5.585139643347051, 5.288696337794377, 4.333843621399177, 5.991581069958848, 2.55239785039942, 1.9952444444444448, 1.1557695473251033, 0.0, 15.706967592592594, 12.713465020576134, 9.976222222222225, 7.657193551198258, 11.983162139917695, 6.067381069958849, 5.288696337794377, 3.9893854595336076, 5.8374582425562815, 4.5485460144927545, 2.553030246913581, 1.1471101553166074, 0.0), (15.747635617582157, 12.553130589849111, 12.740709762231369, 13.61094150563607, 11.655448505876976, 5.571378489051465, 5.265218552716011, 4.316289285169945, 5.979864258497181, 2.5433347814626543, 1.9871854765983423, 1.152498993253596, 0.0, 15.677730624142663, 12.677488925789556, 9.93592738299171, 7.630004344387961, 11.959728516994362, 6.042804999237923, 5.265218552716011, 3.9795560636081895, 5.827724252938488, 4.536980501878691, 2.5481419524462736, 1.141193689986283, 0.0), (15.700231263791975, 12.487946670206647, 12.71601863283036, 13.575942552334945, 11.635696495333388, 5.557552466595541, 5.241689494453475, 4.299005639384241, 5.968111598841639, 2.5342483703165772, 1.9791051489554419, 1.1492068763587067, 0.0, 15.648102709190674, 12.64127563994577, 9.89552574477721, 7.60274511094973, 11.936223197683278, 6.018607895137937, 5.241689494453475, 3.969680333282529, 5.817848247666694, 4.525314184111649, 2.5432037265660723, 1.1352678791096953, 0.0), (15.652382608695653, 12.422690322580646, 12.691083333333335, 13.540666304347827, 11.615686274509805, 5.543688888888889, 5.218117647058825, 4.282000000000001, 5.956333333333333, 2.5251388235294123, 1.9710149920255189, 1.1458947368421055, 0.0, 15.618125000000001, 12.604842105263158, 9.855074960127594, 7.575416470588236, 11.912666666666667, 5.9948000000000015, 5.218117647058825, 3.9597777777777776, 5.807843137254903, 4.51355543478261, 2.5382166666666675, 1.129335483870968, 0.0), (15.60416293910658, 12.357391919996457, 12.665909350708734, 13.505137882447666, 11.595443664434223, 5.529815068841132, 5.194511494584116, 4.265279682975157, 5.944539704313367, 2.516006347669384, 1.9629265363183495, 1.1425641149054624, 0.0, 15.58783864883402, 12.568205263960085, 9.814632681591746, 7.54801904300815, 11.889079408626735, 5.97139155616522, 5.194511494584116, 3.9498679063150943, 5.797721832217111, 4.501712627482556, 2.533181870141747, 1.1233992654542237, 0.0), (15.555645541838135, 12.292081835479447, 12.640502171925013, 13.469382407407409, 11.574994486134646, 5.515958319361886, 5.17087952108141, 4.248852004267642, 5.932740954122847, 2.506851149304716, 1.9548513123437101, 1.1392165507504473, 0.0, 15.557284807956103, 12.531382058254918, 9.77425656171855, 7.520553447914146, 11.865481908245695, 5.948392805974699, 5.17087952108141, 3.9399702281156324, 5.787497243067323, 4.48979413580247, 2.528100434385003, 1.1174619850435863, 0.0), (15.506903703703706, 12.22679044205496, 12.614867283950618, 13.433425000000002, 11.554364560639069, 5.5021459533607695, 5.1472302106027605, 4.2327242798353915, 5.920947325102881, 2.497673435003632, 1.9468008506113774, 1.135853584578731, 0.0, 15.526504629629631, 12.49438943036604, 9.734004253056886, 7.493020305010894, 11.841894650205761, 5.925813991769548, 5.1472302106027605, 3.93010425240055, 5.7771822803195345, 4.477808333333335, 2.522973456790124, 1.1115264038231782, 0.0), (15.458010711516671, 12.161548112748353, 12.589010173754001, 13.397290780998391, 11.533579708975497, 5.488405283747397, 5.123572047200224, 4.2169038256363365, 5.909169059594573, 2.4884734113343563, 1.9387866816311266, 1.132476756591983, 0.0, 15.495539266117968, 12.457244322511812, 9.693933408155633, 7.4654202340030675, 11.818338119189146, 5.903665355890872, 5.123572047200224, 3.920289488390998, 5.766789854487748, 4.465763593666131, 2.5178020347508006, 1.1055952829771232, 0.0), (15.409039852090416, 12.096385220584981, 12.562936328303612, 13.361004871175524, 11.512665752171923, 5.474763623431389, 5.099913514925861, 4.201397957628411, 5.897416399939034, 2.479251284865113, 1.9308203359127338, 1.129087606991874, 0.0, 15.464429869684501, 12.419963676910612, 9.654101679563668, 7.437753854595337, 11.794832799878067, 5.881957140679775, 5.099913514925861, 3.9105454453081343, 5.756332876085962, 4.4536682903918425, 2.5125872656607227, 1.099671383689544, 0.0), (15.360064412238325, 12.031332138590201, 12.536651234567902, 13.324592391304346, 11.491648511256354, 5.461248285322361, 5.076263097831727, 4.186213991769549, 5.885699588477366, 2.470007262164126, 1.922913343965976, 1.125687675980074, 0.0, 15.433217592592593, 12.382564435780811, 9.61456671982988, 7.410021786492376, 11.771399176954732, 5.860699588477368, 5.076263097831727, 3.9008916323731144, 5.745824255628177, 4.44153079710145, 2.5073302469135803, 1.093757467144564, 0.0), (15.311157678773782, 11.96641923978937, 12.510160379515318, 13.28807846215781, 11.470553807256785, 5.44788658232993, 5.052629279969876, 4.1713592440176805, 5.8740288675506775, 2.4607415497996183, 1.9150772363006283, 1.1222785037582528, 0.0, 15.401943587105624, 12.345063541340778, 9.575386181503141, 7.382224649398854, 11.748057735101355, 5.839902941624753, 5.052629279969876, 3.8913475588070923, 5.735276903628392, 4.429359487385938, 2.5020320759030636, 1.0878562945263066, 0.0), (15.26239293851017, 11.901676897207842, 12.483469250114315, 13.251488204508856, 11.449407461201215, 5.434705827363715, 5.0290205453923695, 4.156841030330743, 5.862414479500076, 2.451454354339816, 1.9073235434264675, 1.1188616305280807, 0.0, 15.370649005486968, 12.307477935808887, 9.536617717132337, 7.354363063019447, 11.724828959000153, 5.819577442463041, 5.0290205453923695, 3.8819327338312255, 5.724703730600607, 4.417162734836286, 2.496693850022863, 1.081970627018895, 0.0), (15.21384347826087, 11.83713548387097, 12.456583333333336, 13.214846739130437, 11.428235294117645, 5.421733333333335, 5.0054453781512604, 4.142666666666667, 5.850866666666667, 2.442145882352942, 1.8996637958532698, 1.1154385964912283, 0.0, 15.339375000000002, 12.26982456140351, 9.498318979266347, 7.326437647058825, 11.701733333333333, 5.799733333333334, 5.0054453781512604, 3.8726666666666674, 5.714117647058822, 4.40494891304348, 2.4913166666666675, 1.076103225806452, 0.0), (15.16558258483927, 11.772825372804107, 12.429508116140834, 13.17817918679549, 11.40706312703408, 5.408996413148403, 4.98191226229861, 4.128843468983388, 5.839395671391555, 2.4328163404072196, 1.8921095240908108, 1.112010941849365, 0.0, 15.308162722908094, 12.232120360343014, 9.460547620454054, 7.298449021221657, 11.67879134278311, 5.780380856576743, 4.98191226229861, 3.8635688665345733, 5.70353156351704, 4.392726395598498, 2.485901623228167, 1.0702568520731008, 0.0), (15.117683545058746, 11.708776937032614, 12.402249085505263, 13.141510668276972, 11.385916780978512, 5.396522379718539, 4.9584296818864715, 4.1153787532388355, 5.828011736015851, 2.423465935070874, 1.8846722586488671, 1.108580206804162, 0.0, 15.277053326474624, 12.194382274845779, 9.423361293244335, 7.27039780521262, 11.656023472031702, 5.76153025453437, 4.9584296818864715, 3.8546588426560997, 5.692958390489256, 4.380503556092325, 2.4804498171010527, 1.0644342670029652, 0.0), (15.07021964573269, 11.64502054958184, 12.374811728395064, 13.104866304347826, 11.36482207697894, 5.384338545953361, 4.935006120966905, 4.102279835390947, 5.816725102880659, 2.4140948729121283, 1.8773635300372145, 1.1051479315572885, 0.0, 15.246087962962964, 12.156627247130173, 9.386817650186073, 7.242284618736384, 11.633450205761317, 5.743191769547326, 4.935006120966905, 3.845956104252401, 5.68241103848947, 4.368288768115943, 2.474962345679013, 1.0586382317801675, 0.0), (15.02326417367448, 11.581586583477144, 12.347201531778696, 13.068271215781, 11.34380483606337, 5.372472224762486, 4.911650063591967, 4.089554031397653, 5.805546014327083, 2.404703360499207, 1.8701948687656293, 1.101715656310415, 0.0, 15.215307784636488, 12.118872219414563, 9.350974343828147, 7.214110081497619, 11.611092028654166, 5.725375643956714, 4.911650063591967, 3.837480160544633, 5.671902418031685, 4.356090405260334, 2.469440306355739, 1.0528715075888313, 0.0), (14.976806757924871, 11.51861130755273, 12.319490437669426, 13.031800658990448, 11.322854058851952, 5.3609451179335466, 4.888420770925416, 4.077235045853738, 5.794513499337931, 2.3953218946450923, 1.8631797083074313, 1.098292391533924, 0.0, 15.184710241349155, 12.081216306873161, 9.315898541537155, 7.185965683935276, 11.589026998675863, 5.708129064195233, 4.888420770925416, 3.829246512809676, 5.661427029425976, 4.343933552996817, 2.4638980875338854, 1.0471464825047938, 0.0), (14.930369436640104, 11.456715869170786, 12.292060900028826, 12.995747305532802, 11.301752911537415, 5.349730967961242, 4.865614566728464, 4.065474173003413, 5.783796819046966, 2.3861260671651134, 1.8563318232301862, 1.094921622948397, 0.0, 15.154040662656056, 12.044137852432362, 9.28165911615093, 7.1583782014953385, 11.567593638093932, 5.691663842204779, 4.865614566728464, 3.821236405686601, 5.6508764557687075, 4.331915768510935, 2.4584121800057654, 1.0415196244700715, 0.0), (14.883815844806392, 11.395922558068468, 12.264929243609757, 12.960101406218136, 11.280434856414509, 5.338800611665514, 4.84324772015325, 4.054268436185806, 5.773399988623354, 2.3771301311952313, 1.8496412030472253, 1.091605011007847, 0.0, 15.123210610656603, 12.007655121086316, 9.248206015236125, 7.131390393585693, 11.546799977246708, 5.675975810660129, 4.84324772015325, 3.8134290083325095, 5.640217428207254, 4.320033802072713, 2.452985848721952, 1.0359929598244064, 0.0), (14.837087797180216, 11.336142812561162, 12.238042919978499, 12.924799380319683, 11.25886776147603, 5.328128285467958, 4.821283854022315, 4.043586875265996, 5.763296714254843, 2.3683173433798195, 1.8430949150057288, 1.0883364263316462, 0.0, 15.092171615609425, 11.971700689648106, 9.215474575028642, 7.104952030139457, 11.526593428509686, 5.661021625372395, 4.821283854022315, 3.8058059181913984, 5.629433880738015, 4.308266460106562, 2.4476085839957, 1.0305584375055605, 0.0), (14.790127108518035, 11.277288070964257, 12.211349380701316, 12.88977764711069, 11.237019494714783, 5.317688225790165, 4.799686591158202, 4.033398530109057, 5.753460702129175, 2.359670960363252, 1.8366800263528757, 1.085109739539167, 0.0, 15.06087520777316, 11.936207134930834, 9.183400131764378, 7.079012881089755, 11.50692140425835, 5.6467579421526795, 4.799686591158202, 3.7983487327072605, 5.6185097473573915, 4.296592549036898, 2.4422698761402635, 1.0252080064512963, 0.0), (14.742875593576338, 11.21926977159314, 12.18479607734449, 12.854972625864399, 11.214857924123566, 5.3074546690537305, 4.7784195543834524, 4.023672440580065, 5.743865658434098, 2.351174238789904, 1.8303836043358468, 1.0819188212497801, 0.0, 15.02927291740644, 11.901107033747579, 9.151918021679233, 7.053522716369711, 11.487731316868196, 5.633141416812091, 4.7784195543834524, 3.791039049324093, 5.607428962061783, 4.284990875288134, 2.436959215468898, 1.0199336155993766, 0.0), (14.695275067111588, 11.161999352763203, 12.158330461474298, 12.820320735854047, 11.192350917695169, 5.297401851680244, 4.757446366520605, 4.014377646544097, 5.734485289357356, 2.3428104353041492, 1.824192716201821, 1.0787575420828581, 0.0, 14.997316274767892, 11.866332962911438, 9.120963581009105, 7.028431305912447, 11.468970578714712, 5.620128705161736, 4.757446366520605, 3.7838584654858884, 5.5961754588475845, 4.273440245284683, 2.43166609229486, 1.014727213887564, 0.0), (14.647267343880259, 11.105388252789831, 12.131899984657018, 12.785758396352872, 11.169466343422396, 5.287504010091301, 4.736730650392203, 4.005483187866229, 5.7252933010866975, 2.3345628065503625, 1.818094429197978, 1.0756197726577732, 0.0, 14.964956810116156, 11.831817499235502, 9.090472145989889, 7.003688419651086, 11.450586602173395, 5.60767646301272, 4.736730650392203, 3.7767885786366437, 5.584733171711198, 4.2619194654509585, 2.4263799969314035, 1.0095807502536214, 0.0), (14.59879423863883, 11.049347909988416, 12.105452098458917, 12.751222026634121, 11.146172069298046, 5.277735380708496, 4.716236028820784, 3.9969581044115383, 5.716263399809866, 2.326414609172919, 1.812075810571498, 1.0724993835938965, 0.0, 14.932146053709857, 11.797493219532859, 9.060379052857488, 6.979243827518756, 11.432526799619732, 5.595741346176154, 4.716236028820784, 3.769810986220354, 5.573086034649023, 4.250407342211375, 2.4210904196917835, 1.0044861736353108, 0.0), (14.549797566143766, 10.993789762674343, 12.078934254446281, 12.716648045971027, 11.122435963314915, 5.268070199953418, 4.695926124628894, 3.9887714360450994, 5.707369291714607, 2.3183490998161913, 1.8061239275695606, 1.0693902455106004, 0.0, 14.898835535807633, 11.763292700616601, 9.030619637847803, 6.955047299448573, 11.414738583429214, 5.584280010463139, 4.695926124628894, 3.762907285681013, 5.561217981657458, 4.238882681990344, 2.4157868508892566, 0.9994354329703949, 0.0), (14.50021914115155, 10.938625249163001, 12.052293904185383, 12.681972873636834, 11.098225893465804, 5.258482704247664, 4.675764560639071, 3.9808922226319887, 5.698584682988669, 2.3103495351245553, 1.8002258474393456, 1.0662862290272563, 0.0, 14.864976786668116, 11.729148519299818, 9.001129237196727, 6.931048605373665, 11.397169365977337, 5.573249111684785, 4.675764560639071, 3.7560590744626166, 5.549112946732902, 4.227324291212279, 2.4104587808370765, 0.9944204771966367, 0.0), (14.450000778418648, 10.883765807769782, 12.025478499242494, 12.647132928904785, 11.073509727743506, 5.248947130012824, 4.655714959673856, 3.9732895040372846, 5.689883279819794, 2.302399171742385, 1.794368637428032, 1.063181204763237, 0.0, 14.830521336549939, 11.694993252395603, 8.971843187140161, 6.907197515227153, 11.379766559639588, 5.562605305652198, 4.655714959673856, 3.74924795000916, 5.536754863871753, 4.215710976301596, 2.405095699848499, 0.9894332552517985, 0.0), (14.399084292701534, 10.82912287681007, 11.9984354911839, 12.612064631048113, 11.048255334140823, 5.239437713670492, 4.635740944555791, 3.965932320126061, 5.68123878839573, 2.294481266314054, 1.7885393647828007, 1.0600690433379134, 0.0, 14.795420715711726, 11.660759476717045, 8.942696823914003, 6.883443798942161, 11.36247757679146, 5.552305248176485, 4.635740944555791, 3.7424555097646373, 5.524127667070411, 4.204021543682705, 2.39968709823678, 0.9844657160736429, 0.0), (14.347411498756685, 10.774607894599258, 11.971112331575865, 12.576704399340066, 11.022430580650552, 5.229928691642264, 4.615806138107416, 3.958789710763395, 5.6726249149042225, 2.2865790754839375, 1.7827250967508306, 1.0569436153706582, 0.0, 14.759626454412127, 11.626379769077237, 8.913625483754151, 6.859737226451811, 11.345249829808445, 5.542305595068753, 4.615806138107416, 3.735663351173045, 5.511215290325276, 4.192234799780023, 2.394222466315173, 0.9795098085999328, 0.0), (14.294924211340579, 10.720132299452729, 11.943456471984673, 12.54098865305388, 10.996003335265492, 5.220394300349728, 4.595874163151275, 3.951830715814364, 5.664015365533016, 2.27867585589641, 1.7769129005793014, 1.0537987914808424, 0.0, 14.723090082909758, 11.591786706289264, 8.884564502896506, 6.836027567689229, 11.328030731066033, 5.53256300214011, 4.595874163151275, 3.728853071678377, 5.498001667632746, 4.1803295510179606, 2.388691294396935, 0.97455748176843, 0.0), (14.241564245209673, 10.665607529685879, 11.915415363976601, 12.504853811462798, 10.968941465978443, 5.210808776214481, 4.575908642509906, 3.9450243751440417, 5.655383846469858, 2.2707548641958457, 1.7710898435153934, 1.0506284422878387, 0.0, 14.68576313146326, 11.556912865166222, 8.855449217576966, 6.812264592587535, 11.310767692939717, 5.523034125201659, 4.575908642509906, 3.722006268724629, 5.484470732989221, 4.168284603820934, 2.3830830727953205, 0.9696006845168982, 0.0), (14.187273415120451, 10.610945023614088, 11.886936459117921, 12.468236293840059, 10.9412128407822, 5.201146355658116, 4.555873199005851, 3.938339728617507, 5.646704063902494, 2.2627993570266187, 1.765242992806286, 1.0474264384110183, 0.0, 14.647597130331262, 11.5216908225212, 8.82621496403143, 6.788398071079855, 11.293408127804987, 5.51367562006451, 4.555873199005851, 3.7151045397557967, 5.4706064203911, 4.156078764613354, 2.377387291823584, 0.9646313657830989, 0.0), (14.131993535829388, 10.556056219552751, 11.857967208974907, 12.431072519458905, 10.91278532766956, 5.191381275102222, 4.53573145546165, 3.9317458160998338, 5.637949724018666, 2.2547925910331035, 1.7593594156991588, 1.044186650469754, 0.0, 14.608543609772397, 11.48605315516729, 8.796797078495793, 6.764377773099309, 11.275899448037332, 5.504444142539767, 4.53573145546165, 3.7081294822158726, 5.45639266383478, 4.1436908398196355, 2.3715934417949813, 0.9596414745047956, 0.0), (14.07566642209295, 10.500852555817252, 11.828455065113841, 12.393298907592571, 10.883626794633326, 5.181487770968396, 4.515447034699847, 3.9252116774560997, 5.629094533006126, 2.2467178228596745, 1.7534261794411918, 1.0409029490834167, 0.0, 14.568554100045299, 11.449932439917582, 8.767130897205957, 6.740153468579022, 11.258189066012251, 5.49529634843854, 4.515447034699847, 3.701062693548854, 5.441813397316663, 4.131099635864191, 2.3656910130227686, 0.9546229596197504, 0.0), (14.018233888667616, 10.445245470722984, 11.798347479100995, 12.354851877514303, 10.853705109666297, 5.171440079678229, 4.49498355954298, 3.918706352551382, 5.620112197052615, 2.238558309150706, 1.7474303512795641, 1.0375692048713792, 0.0, 14.527580131408602, 11.413261253585167, 8.73715175639782, 6.715674927452117, 11.24022439410523, 5.486188893571935, 4.49498355954298, 3.693885771198735, 5.4268525548331485, 4.1182839591714355, 2.3596694958201994, 0.949567770065726, 0.0), (13.959637750309861, 10.38914640258533, 11.767591902502646, 12.315667848497343, 10.822988140761264, 5.161212437653315, 4.474304652813592, 3.9121988812507547, 5.61097642234588, 2.2302973065505736, 1.7413589984614566, 1.0341792884530125, 0.0, 14.485573234120938, 11.375972172983136, 8.706794992307282, 6.690891919651719, 11.22195284469176, 5.477078433751057, 4.474304652813592, 3.686580312609511, 5.411494070380632, 4.105222616165782, 2.3535183805005295, 0.9444678547804848, 0.0), (13.899819821776152, 10.332466789719687, 11.736135786885072, 12.275683239814924, 10.791443755911033, 5.150779081315248, 4.453373937334223, 3.9056583034192958, 5.601660915073669, 2.2219180717036497, 1.7351991882340478, 1.030727070447689, 0.0, 14.442484938440934, 11.337997774924577, 8.675995941170239, 6.6657542151109475, 11.203321830147338, 5.467921624787015, 4.453373937334223, 3.6791279152251772, 5.395721877955516, 4.091894413271643, 2.3472271573770147, 0.9393151627017899, 0.0), (13.838721917822966, 10.275118070441435, 11.703926583814546, 12.234834470740296, 10.759039823108395, 5.14011424708562, 4.432155035927415, 3.8990536589220803, 5.592139381423722, 2.213403861254311, 1.7289379878445184, 1.0272064214747805, 0.0, 14.398266774627231, 11.299270636222584, 8.64468993922259, 6.640211583762932, 11.184278762847445, 5.458675122490913, 4.432155035927415, 3.671510176489728, 5.379519911554198, 4.0782781569134325, 2.340785316762909, 0.9341016427674034, 0.0), (13.776285853206776, 10.217011683065968, 11.670911744857346, 12.193057960546685, 10.725744210346152, 5.129192171386024, 4.410611571415708, 3.892353987624185, 5.5823855275837895, 2.2047379318469296, 1.7225624645400475, 1.0236112121536591, 0.0, 14.352870272938459, 11.259723333690248, 8.612812322700236, 6.614213795540787, 11.164771055167579, 5.44929558267386, 4.410611571415708, 3.6637086938471604, 5.362872105173076, 4.064352653515563, 2.3341823489714693, 0.9288192439150881, 0.0), (13.712453442684055, 10.15805906590867, 11.63703872157975, 12.15029012850735, 10.691524785617101, 5.117987090638052, 4.388707166621645, 3.885528329390686, 5.572373059741617, 2.1959035401258813, 1.716059685567815, 1.0199353131036961, 0.0, 14.306246963633242, 11.219288444140656, 8.580298427839075, 6.587710620377642, 11.144746119483234, 5.439739661146961, 4.388707166621645, 3.6557050647414657, 5.345762392808551, 4.050096709502451, 2.3274077443159498, 0.9234599150826065, 0.0), (13.647166501011277, 10.098171657284933, 11.602254965548024, 12.106467393895517, 10.656349416914047, 5.106473241263299, 4.366405444367763, 3.8785457240866603, 5.56207568408495, 2.1868839427355393, 1.7094167181750008, 1.016172594944264, 0.0, 14.258348376970226, 11.1778985443869, 8.547083590875005, 6.560651828206616, 11.1241513681699, 5.4299640137213245, 4.366405444367763, 3.6474808866166426, 5.3281747084570235, 4.035489131298506, 2.320450993109605, 0.9180156052077213, 0.0), (13.58036684294491, 10.037260895510144, 11.566507928328454, 12.061526175984431, 10.620185972229777, 5.094624859683358, 4.343670027476608, 3.8713752115771833, 5.551467106801532, 2.1776623963202795, 1.7026206296087845, 1.0123169282947344, 0.0, 14.20912604320803, 11.135486211242075, 8.513103148043921, 6.532987188960837, 11.102934213603064, 5.419925296208056, 4.343670027476608, 3.6390177569166844, 5.3100929861148884, 4.020508725328145, 2.313301585665691, 0.912478263228195, 0.0), (13.511996283241437, 9.97523821889969, 11.529745061487317, 12.015402894047334, 10.583002319557098, 5.082416182319821, 4.320464538770717, 3.863985831727331, 5.54052103407911, 2.168222157524475, 1.6956584871163454, 1.008362183774479, 0.0, 14.158531492605304, 11.091984021519266, 8.478292435581725, 6.504666472573423, 11.08104206815822, 5.409580164418264, 4.320464538770717, 3.6302972730855863, 5.291501159778549, 4.005134298015779, 2.3059490122974635, 0.9068398380817901, 0.0), (13.44199663665733, 9.912015065768964, 11.491913816590882, 11.968033967357464, 10.544766326888803, 5.069821445594281, 4.296752601072636, 3.8563466244021805, 5.529211172105429, 2.158546482992501, 1.688517357944864, 1.00430223200287, 0.0, 14.106516255420662, 11.047324552031569, 8.442586789724318, 6.4756394489775015, 11.058422344210857, 5.398885274163053, 4.296752601072636, 3.6213010325673434, 5.272383163444402, 3.989344655785822, 2.2983827633181764, 0.9010922787062696, 0.0), (13.37030971794905, 9.84750287443335, 11.452961645205429, 11.919355815188066, 10.505445862217693, 5.056814885928333, 4.272497837204901, 3.848426629466808, 5.517511227068235, 2.1486186293687317, 1.6811843093415195, 1.0001309435992793, 0.0, 14.053031861912746, 11.001440379592072, 8.405921546707596, 6.445855888106194, 11.03502245413647, 5.3877972812535315, 4.272497837204901, 3.612010632805952, 5.252722931108846, 3.973118605062689, 2.2905923290410857, 0.8952275340393956, 0.0), (13.29687734187308, 9.781613083208239, 11.412835998897235, 11.86930485681237, 10.465008793536564, 5.043370739743566, 4.247663869990055, 3.840194886786288, 5.505394905155279, 2.1384218532975416, 1.6736464085534917, 0.9958421891830788, 0.0, 13.998029842340188, 10.954264081013864, 8.368232042767458, 6.415265559892624, 11.010789810310557, 5.376272841500803, 4.247663869990055, 3.6024076712454045, 5.232504396768282, 3.956434952270791, 2.282567199779447, 0.8892375530189309, 0.0), (13.221641323185896, 9.714257130409019, 11.37148432923257, 11.817817511503629, 10.423422988838217, 5.029463243461577, 4.222214322250639, 3.8316204362256996, 5.492835912554298, 2.1279394114233043, 1.6658907228279605, 0.99142983937364, 0.0, 13.941461726961624, 10.905728233110038, 8.329453614139801, 6.383818234269912, 10.985671825108597, 5.364268610715979, 4.222214322250639, 3.592473745329698, 5.2117114944191085, 3.9392725038345437, 2.2742968658465146, 0.8831142845826383, 0.0), (13.144543476643964, 9.64534645435108, 11.328854087777719, 11.764830198535075, 10.380656316115449, 5.015066633503958, 4.196112816809195, 3.8226723176501176, 5.479807955453042, 2.1171545603903956, 1.6579043194121055, 0.9868877647903354, 0.0, 13.88327904603568, 10.855765412693687, 8.289521597060528, 6.351463681171186, 10.959615910906084, 5.351741244710165, 4.196112816809195, 3.582190452502827, 5.190328158057724, 3.921610066178359, 2.265770817555544, 0.8768496776682801, 0.0), (13.065525617003761, 9.574792493349808, 11.284892726098956, 11.710279337179951, 10.33667664336106, 5.000155146292303, 4.169322976488264, 3.813319570924618, 5.4662847400392565, 2.1060505568431886, 1.6496742655531065, 0.9822098360525362, 0.0, 13.82343332982099, 10.804308196577896, 8.248371327765533, 6.318151670529565, 10.932569480078513, 5.338647399294466, 4.169322976488264, 3.5715393902087875, 5.16833832168053, 3.903426445726651, 2.2569785452197917, 0.870435681213619, 0.0), (12.98452955902176, 9.502506685720592, 11.239547695762546, 11.654101346711496, 10.291451838567841, 4.984703018248201, 4.141808424110385, 3.803531235914277, 5.4522399725006885, 2.094610657426059, 1.6411876284981433, 0.9773899237796149, 0.0, 13.761876108576189, 10.751289161575762, 8.205938142490716, 6.2838319722781755, 10.904479945001377, 5.324943730279988, 4.141808424110385, 3.5605021558915717, 5.145725919283921, 3.884700448903833, 2.2479095391525097, 0.8638642441564175, 0.0), (12.901497117454435, 9.428400469778822, 11.192766448334778, 11.596232646402957, 10.2449497697286, 4.968684485793251, 4.113532782498101, 3.7932763524841717, 5.437647359025082, 2.082818118783379, 1.6324314754943956, 0.9724218985909429, 0.0, 13.698558912559907, 10.69664088450037, 8.162157377471978, 6.248454356350136, 10.875294718050164, 5.310586893477841, 4.113532782498101, 3.5490603469951787, 5.1224748848643, 3.8654108821343196, 2.2385532896669558, 0.8571273154344385, 0.0), (12.81637010705826, 9.352385283839885, 11.144496435381926, 11.536609655527563, 10.197138304836129, 4.9520737853490395, 4.084459674473953, 3.7825239604993777, 5.42248060580018, 2.0706561975595257, 1.6233928737890426, 0.9672996311058923, 0.0, 13.63343327203078, 10.640295942164814, 8.116964368945213, 6.211968592678575, 10.84496121160036, 5.295533544699129, 4.084459674473953, 3.5371955609635997, 5.098569152418064, 3.845536551842522, 2.2288992870763855, 0.8502168439854443, 0.0), (12.729090342589704, 9.274372566219169, 11.09468510847026, 11.475168793358566, 10.147985311883227, 4.934845153337166, 4.054552722860481, 3.771243099824971, 5.406713419013735, 2.058108150398871, 1.614058890629265, 0.9620169919438353, 0.0, 13.566450717247434, 10.582186911382186, 8.070294453146325, 6.174324451196611, 10.81342683802747, 5.27974033975496, 4.054552722860481, 3.524889395240833, 5.0739926559416135, 3.825056264452856, 2.2189370216940523, 0.8431247787471974, 0.0), (12.63959963880524, 9.194273755232066, 11.043279919166057, 11.411846479169196, 10.097458658862696, 4.916972826179219, 4.023775550480226, 3.759402810326029, 5.390319504853488, 2.0451572339457917, 1.6044165932622414, 0.956567851724143, 0.0, 13.49756277846851, 10.522246368965572, 8.022082966311206, 6.135471701837374, 10.780639009706976, 5.263163934456441, 4.023775550480226, 3.5121234472708704, 5.048729329431348, 3.8039488263897328, 2.2086559838332116, 0.8358430686574607, 0.0), (12.54783981046135, 9.11200028919396, 10.990228319035603, 11.346579132232703, 10.045526213767326, 4.898431040296793, 3.992091780155732, 3.7469721318676275, 5.373272569507184, 2.0317867048446603, 1.5944530489351527, 0.950946081066188, 0.0, 13.426720985952636, 10.460406891728066, 7.9722652446757625, 6.09536011453398, 10.746545139014367, 5.245760984614678, 3.992091780155732, 3.4988793144977093, 5.022763106883663, 3.7821930440775686, 2.198045663807121, 0.8283636626539964, 0.0), (12.453752672314497, 9.027463606420243, 10.935477759645158, 11.27930317182232, 9.992155844589925, 4.8791940321114815, 3.9594650347095355, 3.7339201043148416, 5.355546319162572, 2.017979819739852, 1.5841553248951779, 0.945145550589342, 0.0, 13.353876869958444, 10.39660105648276, 7.920776624475889, 6.053939459219555, 10.711092638325145, 5.227488146040779, 3.9594650347095355, 3.485138594365344, 4.996077922294963, 3.759767723940774, 2.187095551929032, 0.8206785096745677, 0.0), (12.357280039121166, 8.940575145226303, 10.878975692561012, 11.209955017211293, 9.937315419323285, 4.859236038044878, 3.9258589369641825, 3.7202157675327485, 5.337114460007395, 2.0037198352757417, 1.5735104883894968, 0.9391601309129768, 0.0, 13.278981960744572, 10.330761440042743, 7.867552441947483, 6.011159505827224, 10.67422892001479, 5.208302074545848, 3.9258589369641825, 3.4708828843177697, 4.968657709661643, 3.736651672403765, 2.1757951385122025, 0.8127795586569367, 0.0), (12.258363725637818, 8.851246343927524, 10.820669569349436, 11.138471087672855, 9.880972805960209, 4.838531294518574, 3.891237109742209, 3.705828161386424, 5.317950698229401, 1.9889900080967022, 1.562505606665289, 0.9329836926564644, 0.0, 13.201987788569642, 10.262820619221108, 7.812528033326444, 5.966970024290106, 10.635901396458802, 5.188159425940994, 3.891237109742209, 3.456093781798981, 4.940486402980104, 3.712823695890952, 2.1641339138698874, 0.804658758538866, 0.0), (12.15694554662093, 8.759388640839303, 10.760506841576703, 11.06478780248025, 9.823095872493491, 4.817054037954164, 3.85556317586616, 3.690726325740946, 5.298028740016334, 1.9737735948471096, 1.5511277469697347, 0.9266101064391765, 0.0, 13.122845883692296, 10.19271117083094, 7.755638734848673, 5.921320784541328, 10.596057480032668, 5.167016856037325, 3.85556317586616, 3.440752884252974, 4.911547936246746, 3.688262600826751, 2.1521013683153405, 0.7963080582581185, 0.0), (12.05296731682698, 8.664913474277022, 10.698434960809092, 10.988841580906726, 9.76365248691593, 4.79477850477324, 3.8188007581585754, 3.6748793004613884, 5.27732229155594, 1.958053852171337, 1.5393639765500133, 0.9200332428804852, 0.0, 13.041507776371162, 10.120365671685335, 7.696819882750066, 5.87416155651401, 10.55464458311188, 5.1448310206459436, 3.8188007581585754, 3.4248417891237426, 4.881826243457965, 3.662947193635576, 2.1396869921618182, 0.7877194067524566, 0.0), (11.943489514248384, 8.56599791046598, 10.631455938536474, 10.907723497981493, 9.699926512929064, 4.7702895112293024, 3.780085376742286, 3.6571979682329148, 5.254219782186185, 1.9413463665164579, 1.5268255340103847, 0.9130132752259121, 0.0, 12.954377375064553, 10.043146027485031, 7.634127670051924, 5.824039099549372, 10.50843956437237, 5.120077155526081, 3.780085376742286, 3.407349650878073, 4.849963256464532, 3.6359078326604983, 2.126291187707295, 0.7787270827696345, 0.0), (11.811658827165445, 8.452495802079234, 10.542317091203984, 10.804772590546145, 9.61620406376707, 4.7354436714732975, 3.734570210708573, 3.6314756885095885, 5.21942787265181, 1.9209123976394986, 1.5113111828317318, 0.9041816698244146, 0.0, 12.840684235072311, 9.94599836806856, 7.556555914158659, 5.762737192918495, 10.43885574530362, 5.084065963913424, 3.734570210708573, 3.3824597653380692, 4.808102031883535, 3.6015908635153826, 2.108463418240797, 0.7684087092799304, 0.0), (11.655795351846896, 8.323475201859713, 10.429227943941186, 10.678293012490633, 9.51084814010325, 4.689385209644506, 3.6817949987070273, 3.5970661263515646, 5.171960121188613, 1.896482260745158, 1.4926025356292107, 0.893400259851713, 0.0, 12.69827297422973, 9.827402858368842, 7.463012678146054, 5.689446782235472, 10.343920242377227, 5.0358925768921905, 3.6817949987070273, 3.3495608640317895, 4.755424070051625, 3.559431004163545, 2.0858455887882372, 0.7566795638054286, 0.0), (11.477155287337537, 8.179777273184687, 10.293395962547079, 10.529487004508074, 9.38495266590092, 4.632672092132293, 3.622145156805501, 3.5544003554065204, 5.112442542399476, 1.8682632772683756, 1.4708644412265888, 0.8807689958543429, 0.0, 12.528598471710556, 9.68845895439777, 7.354322206132943, 5.6047898318051255, 10.224885084798952, 4.976160497569129, 3.622145156805501, 3.3090514943802094, 4.69247633295046, 3.509829001502692, 2.058679192509416, 0.7436161157440625, 0.0), (11.27699483268217, 8.022243179431417, 10.136028612820661, 10.359556807291593, 9.239611565123418, 4.565862285326026, 3.5560061010718473, 3.503909449322135, 5.041501150887273, 1.836462768644093, 1.4462617484476323, 0.8663878283788393, 0.0, 12.333115606688533, 9.530266112167231, 7.231308742238162, 5.509388305932278, 10.083002301774545, 4.9054732290509895, 3.5560061010718473, 3.261330203804304, 4.619805782561709, 3.4531856024305316, 2.0272057225641325, 0.7292948344937653, 0.0), (11.056570186925597, 7.851714083977169, 9.958333360560937, 10.169704661534322, 9.075918761734068, 4.489513755615068, 3.4837632475739206, 3.4460244817460834, 4.959761961254883, 1.8012880563072504, 1.418959306116109, 0.8503567079717379, 0.0, 12.113279258337407, 9.353923787689116, 7.0947965305805445, 5.40386416892175, 9.919523922509766, 4.824434274444517, 3.4837632475739206, 3.2067955397250487, 4.537959380867034, 3.3899015538447745, 1.9916666721121876, 0.71379218945247, 0.0), (10.817137549112616, 7.669031150199204, 9.761517671566903, 9.961132807929381, 8.894968179696201, 4.404184469388787, 3.405802012379573, 3.3811765263260463, 4.867850988105186, 1.762946461692788, 1.3891219630557858, 0.8327755851795738, 0.0, 11.870544305830926, 9.160531436975312, 6.945609815278928, 5.288839385078362, 9.735701976210372, 4.733647136856465, 3.405802012379573, 3.1458460495634197, 4.447484089848101, 3.320377602643128, 1.9523035343133808, 0.6971846500181095, 0.0), (10.559953118288028, 7.475035541474793, 9.546789011637559, 9.735043487169904, 8.697853742973145, 4.310432393036548, 3.3225078115566578, 3.3097966567096977, 4.766394246041056, 1.7216453062356458, 1.35691456809043, 0.8137444105488828, 0.0, 11.606365628342832, 8.951188516037709, 6.7845728404521495, 5.164935918706936, 9.532788492082112, 4.633715319393577, 3.3225078115566578, 3.078880280740391, 4.348926871486572, 3.245014495723302, 1.909357802327512, 0.6795486855886177, 0.0), (10.286273093496636, 7.270568421181199, 9.315354846571905, 9.492638939949002, 8.485669375528229, 4.208815492947715, 3.234266061173029, 3.2323159465447184, 4.656017749665372, 1.6775919113707654, 1.322501970043808, 0.7933631346262003, 0.0, 11.322198105046873, 8.726994480888202, 6.612509850219039, 5.0327757341122945, 9.312035499330744, 4.525242325162606, 3.234266061173029, 3.0062967806769394, 4.242834687764114, 3.1642129799830014, 1.8630709693143812, 0.6609607655619273, 0.0), (9.997353673783238, 7.056470952695688, 9.06842264216894, 9.235121406959813, 8.259509001324778, 4.099891735511655, 3.14146217729654, 3.1491654694787847, 4.537347513581013, 1.6309935985330861, 1.2860490177396875, 0.7717317079580612, 0.0, 11.019496615116793, 8.489048787538673, 6.430245088698436, 4.892980795599257, 9.074695027162026, 4.408831657270299, 3.14146217729654, 2.928494096794039, 4.129754500662389, 3.0783738023199385, 1.8136845284337881, 0.6414973593359717, 0.0), (9.694451058192634, 6.833584299395522, 8.807199864227664, 8.963693128895455, 8.020466544326124, 3.9842190871177325, 3.0444815759950434, 3.0607762991595733, 4.411009552390856, 1.5820576891575493, 1.247720560001835, 0.7489500810910016, 0.0, 10.69971603772634, 8.238450892001017, 6.2386028000091756, 4.746173067472647, 8.822019104781711, 4.285086818823403, 3.0444815759950434, 2.8458707765126663, 4.010233272163062, 2.987897709631819, 1.7614399728455332, 0.6212349363086839, 0.0), (9.378821445769624, 6.602749624657969, 8.53289397854708, 8.67955634644906, 7.769635928495594, 3.8623555141553156, 2.9437096733363934, 2.9675795092347634, 4.277629880697781, 1.5309915046790952, 1.2076814456540184, 0.7251182045715564, 0.0, 10.364311252049257, 7.976300250287119, 6.038407228270092, 4.592974514037284, 8.555259761395561, 4.154611312928669, 2.9437096733363934, 2.7588253672537966, 3.884817964247797, 2.8931854488163538, 1.706578795709416, 0.6002499658779973, 0.0), (9.051721035559014, 6.3648080918602945, 8.24671245092618, 8.383913300313743, 7.508111077796515, 3.7348589830137664, 2.8395318853884426, 2.870006173352032, 4.137834513104661, 1.4780023665326634, 1.1660965235200045, 0.7003360289462612, 0.0, 10.014737137259289, 7.7036963184088725, 5.830482617600023, 4.43400709959799, 8.275669026209322, 4.018008642692845, 2.8395318853884426, 2.6677564164384044, 3.7540555388982577, 2.7946377667712485, 1.649342490185236, 0.5786189174418451, 0.0), (8.7144060266056, 6.12060086437976, 7.949862747163971, 8.077966231182643, 7.23698591619222, 3.602287460082452, 2.7323336282190445, 2.7684873651590554, 3.992249464214377, 1.4232975961531957, 1.1231306424235596, 0.6747035047616515, 0.0, 9.652448572530185, 7.421738552378166, 5.615653212117798, 4.269892788459586, 7.984498928428754, 3.8758823112226777, 2.7323336282190445, 2.5730624714874657, 3.61849295809611, 2.692655410394215, 1.5899725494327943, 0.5564182603981601, 0.0), (8.368132617954185, 5.870969105593635, 7.643552333059449, 7.762917379748876, 6.9573543676460305, 3.4651989117507385, 2.6225003178960526, 2.663454158303514, 3.8415007486298056, 1.3670845149756323, 1.0789486511884518, 0.648320582564263, 0.0, 9.278900437035686, 7.1315264082068905, 5.3947432559422595, 4.101253544926896, 7.683001497259611, 3.7288358216249198, 2.6225003178960526, 2.475142079821956, 3.4786771838230153, 2.587639126582959, 1.52871046661189, 0.5337244641448761, 0.0), (8.014157008649567, 5.616753978879182, 7.328988674411616, 7.439968986705571, 6.6703103561212815, 3.3241513044079904, 2.51041737048732, 2.5553376264330825, 3.6862143809538255, 1.309570444434913, 1.0337153986384477, 0.62128721290063, 0.0, 8.89554760994954, 6.83415934190693, 5.168576993192238, 3.9287113333047383, 7.372428761907651, 3.5774726770063157, 2.51041737048732, 2.37439378886285, 3.3351551780606408, 2.479989662235191, 1.4657977348823235, 0.5106139980799257, 0.0), (7.6537353977365505, 5.358796647613667, 7.00737923701947, 7.110323292745849, 6.376947805581297, 3.179702604443573, 2.3964702020607005, 2.4445688431954404, 3.527016375789314, 1.250962705965979, 0.9875957335973142, 0.5937033463172892, 0.0, 8.503844970445494, 6.53073680949018, 4.93797866798657, 3.7528881178979363, 7.054032751578628, 3.4223963804736166, 2.3964702020607005, 2.2712161460311235, 3.1884739027906486, 2.370107764248617, 1.401475847403894, 0.4871633316012425, 0.0), (7.288123984259929, 5.097938275174352, 6.679931486682011, 6.7751825385628415, 6.078360639989406, 3.0324107782468537, 2.2810442286840464, 2.331578882238264, 3.36453274773915, 1.19146862100377, 0.9407545048888186, 0.5656689333607753, 0.0, 8.105247397697292, 6.222358266968527, 4.703772524444093, 3.574405863011309, 6.7290654954783, 3.26421043513357, 2.2810442286840464, 2.1660076987477526, 3.039180319994703, 2.2583941795209475, 1.3359862973364023, 0.46344893410675936, 0.0), (6.91857896726451, 4.835020024938507, 6.347852889198238, 6.435748964849671, 5.775642783308939, 2.882833792207196, 2.164524866425212, 2.216798817209233, 3.199389511406209, 1.131295510983227, 0.8933565613367281, 0.537283924577624, 0.0, 7.701209770878679, 5.910123170353863, 4.46678280668364, 3.39388653294968, 6.398779022812418, 3.103518344092926, 2.164524866425212, 2.0591669944337117, 2.8878213916544695, 2.1452496549498905, 1.2695705778396478, 0.4395472749944098, 0.0), (6.546356545795092, 4.570883060283395, 6.012350910367152, 6.093224812299459, 5.469888159503225, 2.731529612713966, 2.0472975313520503, 2.100659721756022, 3.0322126813933705, 1.07065069733929, 0.8455667517648098, 0.5086482705143706, 0.0, 7.2931869691634, 5.595130975658075, 4.227833758824048, 3.211952092017869, 6.064425362786741, 2.9409236104584306, 2.0472975313520503, 1.9510925805099755, 2.7349440797516125, 2.0310749374331536, 1.2024701820734305, 0.4155348236621269, 0.0), (6.172712918896475, 4.306368544586282, 5.6746330159877525, 5.74881232160534, 5.162190692535588, 2.5790562061565305, 1.929747639532414, 1.9835926695263104, 2.863628272303512, 1.0097415015069002, 0.7975499249968301, 0.4798619217175504, 0.0, 6.882633871725203, 5.278481138893053, 3.98774962498415, 3.0292245045207, 5.727256544607024, 2.7770297373368344, 1.929747639532414, 1.8421830043975218, 2.581095346267794, 1.916270773868447, 1.1349266031975505, 0.3914880495078438, 0.0), (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, 21)
n = int(input()) teams = [int(x) for x in input().split()] carrying = 0 for i in range(n): if teams[i] == 0 and carrying == 1: print("NO") exit() if teams[i] % 2 == 1: if carrying == 0: carrying = 1 else: carrying = 0 if carrying == 0: print("YES") else: print("NO")
n = int(input()) teams = [int(x) for x in input().split()] carrying = 0 for i in range(n): if teams[i] == 0 and carrying == 1: print('NO') exit() if teams[i] % 2 == 1: if carrying == 0: carrying = 1 else: carrying = 0 if carrying == 0: print('YES') else: print('NO')
# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2013 Midokura PTE LTD. # All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. APPLICATION_OCTET_STREAM = "application/octet-stream" APPLICATION_JSON_V5 = "application/vnd.org.midonet.Application-v5+json" APPLICATION_ERROR_JSON = "application/vnd.org.midonet.Error-v1+json" APPLICATION_TENANT_JSON = "application/vnd.org.midonet.Tenant-v1+json" APPLICATION_TENANT_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Tenant-v1+json" APPLICATION_ROUTER_JSON = "application/vnd.org.midonet.Router-v3+json" APPLICATION_ROUTER_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Router-v3+json" APPLICATION_BRIDGE_JSON = "application/vnd.org.midonet.Bridge-v3+json" APPLICATION_BRIDGE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Bridge-v3+json" APPLICATION_HOST_JSON = "application/vnd.org.midonet.Host-v2+json" APPLICATION_HOST_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Host-v2+json" APPLICATION_INTERFACE_JSON = "application/vnd.org.midonet.Interface-v1+json" APPLICATION_INTERFACE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Interface-v1+json" APPLICATION_HOST_COMMAND_JSON = \ "application/vnd.org.midonet.HostCommand-v1+json" APPLICATION_HOST_COMMAND_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.HostCommand-v1+json" APPLICATION_PORT_LINK_JSON = "application/vnd.org.midonet.PortLink-v1+json" APPLICATION_ROUTE_JSON = "application/vnd.org.midonet.Route-v1+json" APPLICATION_ROUTE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Route-v1+json" APPLICATION_PORTGROUP_JSON = "application/vnd.org.midonet.PortGroup-v1+json" APPLICATION_PORTGROUP_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.PortGroup-v1+json" APPLICATION_PORTGROUP_PORT_JSON = \ "application/vnd.org.midonet.PortGroupPort-v1+json" APPLICATION_PORTGROUP_PORT_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.PortGroupPort-v1+json" APPLICATION_CHAIN_JSON = "application/vnd.org.midonet.Chain-v1+json" APPLICATION_CHAIN_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Chain-v1+json" APPLICATION_RULE_JSON = "application/vnd.org.midonet.Rule-v2+json" APPLICATION_RULE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Rule-v2+json" APPLICATION_BGP_JSON = "application/vnd.org.midonet.Bgp-v1+json" APPLICATION_BGP_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Bgp-v1+json" APPLICATION_AD_ROUTE_JSON = "application/vnd.org.midonet.AdRoute-v1+json" APPLICATION_AD_ROUTE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.AdRoute-v1+json" APPLICATION_BGP_NETWORK_JSON = "application/vnd.org.midonet.BgpNetwork-v1+json" APPLICATION_BGP_NETWORK_COLLECTION_JSON =\ "application/vnd.org.midonet.collection.BgpNetwork-v1+json" APPLICATION_BGP_PEER_JSON = "application/vnd.org.midonet.BgpPeer-v1+json" APPLICATION_BGP_PEER_COLLECTION_JSON =\ "application/vnd.org.midonet.collection.BgpPeer-v1+json" APPLICATION_VPN_JSON = "application/vnd.org.midonet.Vpn-v1+json" APPLICATION_VPN_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Vpn-v1+json" APPLICATION_DHCP_SUBNET_JSON = "application/vnd.org.midonet.DhcpSubnet-v2+json" APPLICATION_DHCP_SUBNET_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.DhcpSubnet-v2+json" APPLICATION_DHCP_HOST_JSON = "application/vnd.org.midonet.DhcpHost-v1+json" APPLICATION_DHCP_HOST_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.DhcpHost-v1+json" APPLICATION_DHCPV6_SUBNET_JSON = \ "application/vnd.org.midonet.DhcpV6Subnet-v1+json" APPLICATION_DHCPV6_SUBNET_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.DhcpV6Subnet-v1+json" APPLICATION_DHCPV6_HOST_JSON = "application/vnd.org.midonet.DhcpV6Host-v1+json" APPLICATION_DHCPV6_HOST_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.DhcpV6Host-v1+json" APPLICATION_MONITORING_QUERY_RESPONSE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.mgmt.MetricQueryResponse-v1+json" APPLICATION_MONITORING_QUERY_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.MetricQuery-v1+json" APPLICATION_METRICS_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Metric-v1+json" APPLICATION_METRIC_TARGET_JSON = \ "application/vnd.org.midonet.MetricTarget-v1+json" APPLICATION_TUNNEL_ZONE_JSON = "application/vnd.org.midonet.TunnelZone-v1+json" APPLICATION_TUNNEL_ZONE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.TunnelZone-v1+json" APPLICATION_TUNNEL_ZONE_HOST_JSON = \ "application/vnd.org.midonet.TunnelZoneHost-v1+json" APPLICATION_TUNNEL_ZONE_HOST_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.TunnelZoneHost-v1+json" APPLICATION_GRE_TUNNEL_ZONE_HOST_JSON = \ "application/vnd.org.midonet.GreTunnelZoneHost-v1+json" APPLICATION_GRE_TUNNEL_ZONE_HOST_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.GreTunnelZoneHost-v1+json" APPLICATION_HOST_INTERFACE_PORT_JSON = \ "application/vnd.org.midonet.HostInterfacePort-v1+json" APPLICATION_HOST_INTERFACE_PORT_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.HostInterfacePort-v1+json" APPLICATION_CONDITION_JSON = "application/vnd.org.midonet.Condition-v1+json" APPLICATION_CONDITION_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Condition-v1+json" APPLICATION_TRACE_JSON = "application/vnd.org.midonet.Trace-v1+json" APPLICATION_TRACE_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Trace-v1+json" APPLICATION_WRITE_VERSION_JSON = \ "application/vnd.org.midonet.WriteVersion-v1+json" APPLICATION_SYSTEM_STATE_JSON = \ "application/vnd.org.midonet.SystemState-v2+json" APPLICATION_HOST_VERSION_JSON = \ "application/vnd.org.midonet.HostVersion-v1+json" # Port media types APPLICATION_PORT_JSON = "application/vnd.org.midonet.Port-v2+json" APPLICATION_PORT_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Port-v2+json" APPLICATION_IP_ADDR_GROUP_JSON = \ "application/vnd.org.midonet.IpAddrGroup-v1+json" APPLICATION_IP_ADDR_GROUP_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.IpAddrGroup-v1+json" APPLICATION_IP_ADDR_GROUP_ADDR_JSON = \ "application/vnd.org.midonet.IpAddrGroupAddr-v1+json" APPLICATION_IP_ADDR_GROUP_ADDR_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.IpAddrGroupAddr-v1+json" # L4LB media types APPLICATION_LOAD_BALANCER_JSON = \ "application/vnd.org.midonet.LoadBalancer-v1+json" APPLICATION_LOAD_BALANCER_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.LoadBalancer-v1+json" APPLICATION_VIP_JSON = "application/vnd.org.midonet.VIP-v1+json" APPLICATION_VIP_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.VIP-v1+json" APPLICATION_POOL_JSON = "application/vnd.org.midonet.Pool-v1+json" APPLICATION_POOL_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.Pool-v1+json" APPLICATION_POOL_MEMBER_JSON = "application/vnd.org.midonet.PoolMember-v1+json" APPLICATION_POOL_MEMBER_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.PoolMember-v1+json" APPLICATION_HEALTH_MONITOR_JSON = \ "application/vnd.org.midonet.HealthMonitor-v1+json" APPLICATION_HEALTH_MONITOR_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.HealthMonitor-v1+json" APPLICATION_POOL_STATISTIC_JSON = \ "application/vnd.org.midonet.PoolStatistic-v1+json" APPLICATION_POOL_STATISTIC_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.PoolStatistic-v1+json" # VxGW APPLICATION_VTEP_JSON = "application/vnd.org.midonet.VTEP-v1+json" APPLICATION_VTEP_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.VTEP-v1+json" APPLICATION_VTEP_BINDING_JSON = \ "application/vnd.org.midonet.VTEPBinding-v1+json" APPLICATION_VTEP_BINDING_COLLECTION_JSON = \ "application/vnd.org.midonet.collection.VTEPBinding-v1+json"
application_octet_stream = 'application/octet-stream' application_json_v5 = 'application/vnd.org.midonet.Application-v5+json' application_error_json = 'application/vnd.org.midonet.Error-v1+json' application_tenant_json = 'application/vnd.org.midonet.Tenant-v1+json' application_tenant_collection_json = 'application/vnd.org.midonet.collection.Tenant-v1+json' application_router_json = 'application/vnd.org.midonet.Router-v3+json' application_router_collection_json = 'application/vnd.org.midonet.collection.Router-v3+json' application_bridge_json = 'application/vnd.org.midonet.Bridge-v3+json' application_bridge_collection_json = 'application/vnd.org.midonet.collection.Bridge-v3+json' application_host_json = 'application/vnd.org.midonet.Host-v2+json' application_host_collection_json = 'application/vnd.org.midonet.collection.Host-v2+json' application_interface_json = 'application/vnd.org.midonet.Interface-v1+json' application_interface_collection_json = 'application/vnd.org.midonet.collection.Interface-v1+json' application_host_command_json = 'application/vnd.org.midonet.HostCommand-v1+json' application_host_command_collection_json = 'application/vnd.org.midonet.collection.HostCommand-v1+json' application_port_link_json = 'application/vnd.org.midonet.PortLink-v1+json' application_route_json = 'application/vnd.org.midonet.Route-v1+json' application_route_collection_json = 'application/vnd.org.midonet.collection.Route-v1+json' application_portgroup_json = 'application/vnd.org.midonet.PortGroup-v1+json' application_portgroup_collection_json = 'application/vnd.org.midonet.collection.PortGroup-v1+json' application_portgroup_port_json = 'application/vnd.org.midonet.PortGroupPort-v1+json' application_portgroup_port_collection_json = 'application/vnd.org.midonet.collection.PortGroupPort-v1+json' application_chain_json = 'application/vnd.org.midonet.Chain-v1+json' application_chain_collection_json = 'application/vnd.org.midonet.collection.Chain-v1+json' application_rule_json = 'application/vnd.org.midonet.Rule-v2+json' application_rule_collection_json = 'application/vnd.org.midonet.collection.Rule-v2+json' application_bgp_json = 'application/vnd.org.midonet.Bgp-v1+json' application_bgp_collection_json = 'application/vnd.org.midonet.collection.Bgp-v1+json' application_ad_route_json = 'application/vnd.org.midonet.AdRoute-v1+json' application_ad_route_collection_json = 'application/vnd.org.midonet.collection.AdRoute-v1+json' application_bgp_network_json = 'application/vnd.org.midonet.BgpNetwork-v1+json' application_bgp_network_collection_json = 'application/vnd.org.midonet.collection.BgpNetwork-v1+json' application_bgp_peer_json = 'application/vnd.org.midonet.BgpPeer-v1+json' application_bgp_peer_collection_json = 'application/vnd.org.midonet.collection.BgpPeer-v1+json' application_vpn_json = 'application/vnd.org.midonet.Vpn-v1+json' application_vpn_collection_json = 'application/vnd.org.midonet.collection.Vpn-v1+json' application_dhcp_subnet_json = 'application/vnd.org.midonet.DhcpSubnet-v2+json' application_dhcp_subnet_collection_json = 'application/vnd.org.midonet.collection.DhcpSubnet-v2+json' application_dhcp_host_json = 'application/vnd.org.midonet.DhcpHost-v1+json' application_dhcp_host_collection_json = 'application/vnd.org.midonet.collection.DhcpHost-v1+json' application_dhcpv6_subnet_json = 'application/vnd.org.midonet.DhcpV6Subnet-v1+json' application_dhcpv6_subnet_collection_json = 'application/vnd.org.midonet.collection.DhcpV6Subnet-v1+json' application_dhcpv6_host_json = 'application/vnd.org.midonet.DhcpV6Host-v1+json' application_dhcpv6_host_collection_json = 'application/vnd.org.midonet.collection.DhcpV6Host-v1+json' application_monitoring_query_response_collection_json = 'application/vnd.org.midonet.collection.mgmt.MetricQueryResponse-v1+json' application_monitoring_query_collection_json = 'application/vnd.org.midonet.collection.MetricQuery-v1+json' application_metrics_collection_json = 'application/vnd.org.midonet.collection.Metric-v1+json' application_metric_target_json = 'application/vnd.org.midonet.MetricTarget-v1+json' application_tunnel_zone_json = 'application/vnd.org.midonet.TunnelZone-v1+json' application_tunnel_zone_collection_json = 'application/vnd.org.midonet.collection.TunnelZone-v1+json' application_tunnel_zone_host_json = 'application/vnd.org.midonet.TunnelZoneHost-v1+json' application_tunnel_zone_host_collection_json = 'application/vnd.org.midonet.collection.TunnelZoneHost-v1+json' application_gre_tunnel_zone_host_json = 'application/vnd.org.midonet.GreTunnelZoneHost-v1+json' application_gre_tunnel_zone_host_collection_json = 'application/vnd.org.midonet.collection.GreTunnelZoneHost-v1+json' application_host_interface_port_json = 'application/vnd.org.midonet.HostInterfacePort-v1+json' application_host_interface_port_collection_json = 'application/vnd.org.midonet.collection.HostInterfacePort-v1+json' application_condition_json = 'application/vnd.org.midonet.Condition-v1+json' application_condition_collection_json = 'application/vnd.org.midonet.collection.Condition-v1+json' application_trace_json = 'application/vnd.org.midonet.Trace-v1+json' application_trace_collection_json = 'application/vnd.org.midonet.collection.Trace-v1+json' application_write_version_json = 'application/vnd.org.midonet.WriteVersion-v1+json' application_system_state_json = 'application/vnd.org.midonet.SystemState-v2+json' application_host_version_json = 'application/vnd.org.midonet.HostVersion-v1+json' application_port_json = 'application/vnd.org.midonet.Port-v2+json' application_port_collection_json = 'application/vnd.org.midonet.collection.Port-v2+json' application_ip_addr_group_json = 'application/vnd.org.midonet.IpAddrGroup-v1+json' application_ip_addr_group_collection_json = 'application/vnd.org.midonet.collection.IpAddrGroup-v1+json' application_ip_addr_group_addr_json = 'application/vnd.org.midonet.IpAddrGroupAddr-v1+json' application_ip_addr_group_addr_collection_json = 'application/vnd.org.midonet.collection.IpAddrGroupAddr-v1+json' application_load_balancer_json = 'application/vnd.org.midonet.LoadBalancer-v1+json' application_load_balancer_collection_json = 'application/vnd.org.midonet.collection.LoadBalancer-v1+json' application_vip_json = 'application/vnd.org.midonet.VIP-v1+json' application_vip_collection_json = 'application/vnd.org.midonet.collection.VIP-v1+json' application_pool_json = 'application/vnd.org.midonet.Pool-v1+json' application_pool_collection_json = 'application/vnd.org.midonet.collection.Pool-v1+json' application_pool_member_json = 'application/vnd.org.midonet.PoolMember-v1+json' application_pool_member_collection_json = 'application/vnd.org.midonet.collection.PoolMember-v1+json' application_health_monitor_json = 'application/vnd.org.midonet.HealthMonitor-v1+json' application_health_monitor_collection_json = 'application/vnd.org.midonet.collection.HealthMonitor-v1+json' application_pool_statistic_json = 'application/vnd.org.midonet.PoolStatistic-v1+json' application_pool_statistic_collection_json = 'application/vnd.org.midonet.collection.PoolStatistic-v1+json' application_vtep_json = 'application/vnd.org.midonet.VTEP-v1+json' application_vtep_collection_json = 'application/vnd.org.midonet.collection.VTEP-v1+json' application_vtep_binding_json = 'application/vnd.org.midonet.VTEPBinding-v1+json' application_vtep_binding_collection_json = 'application/vnd.org.midonet.collection.VTEPBinding-v1+json'
def compute_epsg(lon, lat): """ Compute the EPSG code of the UTM zone which contains the point with given longitude and latitude Args: lon (float): longitude of the point lat (float): latitude of the point Returns: int: EPSG code """ # UTM zone number starts from 1 at longitude -180, # and increments by 1 every 6 degrees of longitude zone = int((lon + 180) // 6 + 1) # EPSG = CONST + ZONE where CONST is # - 32600 for positive latitudes # - 32700 for negative latitudes const = 32600 if lat > 0 else 32700 return const + zone
def compute_epsg(lon, lat): """ Compute the EPSG code of the UTM zone which contains the point with given longitude and latitude Args: lon (float): longitude of the point lat (float): latitude of the point Returns: int: EPSG code """ zone = int((lon + 180) // 6 + 1) const = 32600 if lat > 0 else 32700 return const + zone
""" **kwargs """ def print_info(**kwargs): for key in kwargs: print('{}: {}'.format(key, kwargs[key])) if __name__ == '__main__': print_info(name='Mike', lastname='Red', age=22)
""" **kwargs """ def print_info(**kwargs): for key in kwargs: print('{}: {}'.format(key, kwargs[key])) if __name__ == '__main__': print_info(name='Mike', lastname='Red', age=22)
def clean_gdp(gdp): # get needed columns from gdplev excel file columns_to_keep = ['Unnamed: 4', 'Unnamed: 5', 'Unnamed: 6'] gdp = gdp[columns_to_keep] gdp.columns = ['Quarter', 'GDP Current', 'GDP Chained'] gdp = gdp[~gdp['Quarter'].isnull()] # only keep data from 2000 onwards gdp = gdp[gdp['Quarter'].str.startswith('2')] gdp.reset_index(drop = True, inplace = True) # create column to compare GDP change from quarter to quarter gdp['GDP Change'] = gdp['GDP Current'] - gdp['GDP Current'].shift(1) return gdp def get_recession_start(gdp): '''Returns the year and quarter of the recession start time as a string value in a format such as 2005q3 ''' # look for two successive quarters with negative change in GDP start_qtr = '' for j in range(1,len(gdp)-1): if gdp.iloc[j]['GDP Change']<0 and gdp.iloc[j-1]['GDP Change']<0: start_qtr = gdp.iloc[j-2]['Quarter'] break return start_qtr def get_recession_end(gdp, rec_start): '''Returns the year and quarter of the recession end time as a string value in a format such as 2005q3 ''' # start at the beginning of the recession rec_start_ix = gdp.Quarter[gdp.Quarter == rec_start].index.tolist()[0] end_qtr = '' # look for 2 successive quarters of increasing GDP for j in range(rec_start_ix,len(gdp)-1): if gdp.iloc[j]['GDP Change']>0 and gdp.iloc[j+1]['GDP Change']>0: end_qtr = gdp.iloc[j+1]['Quarter'] break return end_qtr def get_recession_bottom(gdp, rec_start, rec_end): '''Returns the year and quarter of the recession bottom time as a string value in a format such as 2005q3 ''' # get index locations of recession start and end rec_start_ix = gdp.Quarter[gdp.Quarter == rec_start].index.tolist()[0] rec_end_ix = gdp.Quarter[gdp.Quarter == rec_end].index.tolist()[0] gdp['GDP Current'] = gdp['GDP Current'].astype(float).fillna(0.0) bottom_qtr = '' lowest_gdp = gdp.iloc[rec_start_ix]['GDP Current'] # look for 2 successive quarters of increasing GDP for j in range(rec_start_ix, rec_end_ix): if gdp.iloc[j]['GDP Current'] < lowest_gdp: bottom_qtr = gdp.iloc[j]['Quarter'] lowest_gdp = gdp.iloc[j]['GDP Current'] return bottom_qtr
def clean_gdp(gdp): columns_to_keep = ['Unnamed: 4', 'Unnamed: 5', 'Unnamed: 6'] gdp = gdp[columns_to_keep] gdp.columns = ['Quarter', 'GDP Current', 'GDP Chained'] gdp = gdp[~gdp['Quarter'].isnull()] gdp = gdp[gdp['Quarter'].str.startswith('2')] gdp.reset_index(drop=True, inplace=True) gdp['GDP Change'] = gdp['GDP Current'] - gdp['GDP Current'].shift(1) return gdp def get_recession_start(gdp): """Returns the year and quarter of the recession start time as a string value in a format such as 2005q3 """ start_qtr = '' for j in range(1, len(gdp) - 1): if gdp.iloc[j]['GDP Change'] < 0 and gdp.iloc[j - 1]['GDP Change'] < 0: start_qtr = gdp.iloc[j - 2]['Quarter'] break return start_qtr def get_recession_end(gdp, rec_start): """Returns the year and quarter of the recession end time as a string value in a format such as 2005q3 """ rec_start_ix = gdp.Quarter[gdp.Quarter == rec_start].index.tolist()[0] end_qtr = '' for j in range(rec_start_ix, len(gdp) - 1): if gdp.iloc[j]['GDP Change'] > 0 and gdp.iloc[j + 1]['GDP Change'] > 0: end_qtr = gdp.iloc[j + 1]['Quarter'] break return end_qtr def get_recession_bottom(gdp, rec_start, rec_end): """Returns the year and quarter of the recession bottom time as a string value in a format such as 2005q3 """ rec_start_ix = gdp.Quarter[gdp.Quarter == rec_start].index.tolist()[0] rec_end_ix = gdp.Quarter[gdp.Quarter == rec_end].index.tolist()[0] gdp['GDP Current'] = gdp['GDP Current'].astype(float).fillna(0.0) bottom_qtr = '' lowest_gdp = gdp.iloc[rec_start_ix]['GDP Current'] for j in range(rec_start_ix, rec_end_ix): if gdp.iloc[j]['GDP Current'] < lowest_gdp: bottom_qtr = gdp.iloc[j]['Quarter'] lowest_gdp = gdp.iloc[j]['GDP Current'] return bottom_qtr
# Can be used in the test data like ${MyObject()} or ${MyObject(1)} class MyObject: def __init__(self, index=''): self.index = index def __str__(self): return '<MyObject%s>' % self.index UNICODE = (u'Hyv\u00E4\u00E4 y\u00F6t\u00E4. ' u'\u0421\u043F\u0430\u0441\u0438\u0431\u043E!') LIST_WITH_OBJECTS = [MyObject(1), MyObject(2)] NESTED_LIST = [ [True, False], [[1, None, MyObject(), {}]] ] NESTED_TUPLE = ( (True, False), [(1, None, MyObject(), {})] ) DICT_WITH_OBJECTS = {'As value': MyObject(1), MyObject(2): 'As key'} NESTED_DICT = { 1: {None: False}, 2: {'A': {'n': None}, 'B': {'o': MyObject(), 'e': {}}} }
class Myobject: def __init__(self, index=''): self.index = index def __str__(self): return '<MyObject%s>' % self.index unicode = u'Hyvää yötä. Спасибо!' list_with_objects = [my_object(1), my_object(2)] nested_list = [[True, False], [[1, None, my_object(), {}]]] nested_tuple = ((True, False), [(1, None, my_object(), {})]) dict_with_objects = {'As value': my_object(1), my_object(2): 'As key'} nested_dict = {1: {None: False}, 2: {'A': {'n': None}, 'B': {'o': my_object(), 'e': {}}}}
def Fibonacci(n): # Check if input is 0 then it will # print incorrect input if n < 0: print("Incorrect input") # Check if n is 0 # then it will return 0 elif n == 0: return 0 # Check if n is 1,2 # it will return 1 elif n == 1 or n == 2: return 1 else: return Fibonacci(n-1) + Fibonacci(n-2) # Driver Program print(Fibonacci(40))
def fibonacci(n): if n < 0: print('Incorrect input') elif n == 0: return 0 elif n == 1 or n == 2: return 1 else: return fibonacci(n - 1) + fibonacci(n - 2) print(fibonacci(40))
# encoding: utf-8 # Copyright 2011 Tree.io Limited # This file is part of Treeio. # License www.tree.io/license """ Documents docstring """
""" Documents docstring """
class Solution(object): def findPeakElementLinear(self, nums): """ :type nums: List[int] :rtype: int """ i = 0 while i < len(nums): # check dangerous condition first if i == len(nums) - 1 or (nums[i + 1] < nums[i]): return i i += 1 def findPeakElementBisec(self, nums): """ :type nums: List[int] :rtype: int """ l, r = 0, len(nums) - 1 if not nums: return if len(nums) == 1: return 0 if len(nums) == 2: return 0 if nums[0] > nums[1] else 1 while l < r: # should not exclude equal case m = (l + r) // 2 if nums[m] > nums[m - 1] and nums[m] > nums[m + 1]: return m elif nums[m] < nums[m - 1]: # climb left uphill r = m - 1 elif nums[m] < nums[m + 1]: # climb right uphill l = m + 1 # no peak exists return l if nums[0] > nums[-1] else r
class Solution(object): def find_peak_element_linear(self, nums): """ :type nums: List[int] :rtype: int """ i = 0 while i < len(nums): if i == len(nums) - 1 or nums[i + 1] < nums[i]: return i i += 1 def find_peak_element_bisec(self, nums): """ :type nums: List[int] :rtype: int """ (l, r) = (0, len(nums) - 1) if not nums: return if len(nums) == 1: return 0 if len(nums) == 2: return 0 if nums[0] > nums[1] else 1 while l < r: m = (l + r) // 2 if nums[m] > nums[m - 1] and nums[m] > nums[m + 1]: return m elif nums[m] < nums[m - 1]: r = m - 1 elif nums[m] < nums[m + 1]: l = m + 1 return l if nums[0] > nums[-1] else r
for t in range(int(input())): a,b = input().split() cnt1,cnt2 = 0,0 for i in range(len(a)): if a[i] != b[i]: if b[i] == '0': cnt1+=1 else: cnt2+=1 print(max(cnt1,cnt2))
for t in range(int(input())): (a, b) = input().split() (cnt1, cnt2) = (0, 0) for i in range(len(a)): if a[i] != b[i]: if b[i] == '0': cnt1 += 1 else: cnt2 += 1 print(max(cnt1, cnt2))
class Solution: def subsets(self, nums): """ :type nums: List[int] :rtype: List[List[int]] """ def deep_subsets(nums): r = [] n = len(nums) if n == 1: return [nums] for idx, num in enumerate(nums): r += [[num]] for sb in deep_subsets(nums[idx+1:]): r += [[num] + sb] return r r = [[]] r += deep_subsets(nums) return r
class Solution: def subsets(self, nums): """ :type nums: List[int] :rtype: List[List[int]] """ def deep_subsets(nums): r = [] n = len(nums) if n == 1: return [nums] for (idx, num) in enumerate(nums): r += [[num]] for sb in deep_subsets(nums[idx + 1:]): r += [[num] + sb] return r r = [[]] r += deep_subsets(nums) return r
# @license Apache-2.0 # # Copyright (c) 2018 The Stdlib Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # A `.gyp` file for building a Node.js native add-on. # # [1]: https://gyp.gsrc.io/docs/InputFormatReference.md # [2]: https://gyp.gsrc.io/docs/UserDocumentation.md { # List of files to include in this file: 'includes': [ './include.gypi', ], # Define variables to be used throughout the configuration for all targets: 'variables': { # Target name should match the add-on export name: 'addon_target_name%': 'addon', # Fortran compiler (to override -Dfortran_compiler=<compiler>): 'fortran_compiler%': 'gfortran', # Fortran compiler flags: 'fflags': [ # Specify the Fortran standard to which a program is expected to conform: '-std=f95', # Indicate that the layout is free-form source code: '-ffree-form', # Aggressive optimization: '-O3', # Enable commonly used warning options: '-Wall', # Warn if source code contains problematic language features: '-Wextra', # Warn if a procedure is called without an explicit interface: '-Wimplicit-interface', # Do not transform names of entities specified in Fortran source files by appending underscores (i.e., don't mangle names, thus allowing easier usage in C wrappers): '-fno-underscoring', # Warn if source code contains Fortran 95 extensions and C-language constructs: '-pedantic', # Compile but do not link (output is an object file): '-c', ], # Set variables based on the host OS: 'conditions': [ [ 'OS=="win"', { # Define the object file suffix: 'obj': 'obj', }, { # Define the object file suffix: 'obj': 'o', } ], # end condition (OS=="win") ], # end conditions }, # end variables # Define compile targets: 'targets': [ # Target to generate an add-on: { # The target name should match the add-on export name: 'target_name': '<(addon_target_name)', # Define dependencies: 'dependencies': [], # Define directories which contain relevant include headers: 'include_dirs': [ # Local include directory: '<@(include_dirs)', ], # List of source files: 'sources': [ '<@(src_files)', ], # Settings which should be applied when a target's object files are used as linker input: 'link_settings': { # Define libraries: 'libraries': [ '<@(libraries)', ], # Define library directories: 'library_dirs': [ '<@(library_dirs)', ], }, # C/C++ compiler flags: 'cflags': [ # Enable commonly used warning options: '-Wall', # Aggressive optimization: '-O3', ], # C specific compiler flags: 'cflags_c': [ # Specify the C standard to which a program is expected to conform: '-std=c99', ], # C++ specific compiler flags: 'cflags_cpp': [ # Specify the C++ standard to which a program is expected to conform: '-std=c++11', ], # Linker flags: 'ldflags': [], # Apply conditions based on the host OS: 'conditions': [ [ 'OS=="mac"', { # Linker flags: 'ldflags': [ '-undefined dynamic_lookup', '-Wl,-no-pie', '-Wl,-search_paths_first', ], }, ], # end condition (OS=="mac") [ 'OS!="win"', { # C/C++ flags: 'cflags': [ # Generate platform-independent code: '-fPIC', ], }, ], # end condition (OS!="win") ], # end conditions # Define custom build actions for particular inputs: 'rules': [ { # Define a rule for processing Fortran files: 'extension': 'f', # Define the pathnames to be used as inputs when performing processing: 'inputs': [ # Full path of the current input: '<(RULE_INPUT_PATH)' ], # Define the outputs produced during processing: 'outputs': [ # Store an output object file in a directory for placing intermediate results (only accessible within a single target): '<(INTERMEDIATE_DIR)/<(RULE_INPUT_ROOT).<(obj)' ], # Define the rule for compiling Fortran based on the host OS: 'conditions': [ [ 'OS=="win"', # Rule to compile Fortran on Windows: { 'rule_name': 'compile_fortran_windows', 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Windows...', 'process_outputs_as_sources': 0, # Define the command-line invocation: 'action': [ '<(fortran_compiler)', '<@(fflags)', '<@(_inputs)', '-o', '<@(_outputs)', ], }, # Rule to compile Fortran on non-Windows: { 'rule_name': 'compile_fortran_linux', 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Linux...', 'process_outputs_as_sources': 1, # Define the command-line invocation: 'action': [ '<(fortran_compiler)', '<@(fflags)', '-fPIC', # generate platform-independent code '<@(_inputs)', '-o', '<@(_outputs)', ], } ], # end condition (OS=="win") ], # end conditions }, # end rule (extension=="f") ], # end rules }, # end target <(addon_target_name) # Target to copy a generated add-on to a standard location: { 'target_name': 'copy_addon', # Declare that the output of this target is not linked: 'type': 'none', # Define dependencies: 'dependencies': [ # Require that the add-on be generated before building this target: '<(addon_target_name)', ], # Define a list of actions: 'actions': [ { 'action_name': 'copy_addon', 'message': 'Copying addon...', # Explicitly list the inputs in the command-line invocation below: 'inputs': [], # Declare the expected outputs: 'outputs': [ '<(addon_output_dir)/<(addon_target_name).node', ], # Define the command-line invocation: 'action': [ 'cp', '<(PRODUCT_DIR)/<(addon_target_name).node', '<(addon_output_dir)/<(addon_target_name).node', ], }, ], # end actions }, # end target copy_addon ], # end targets }
{'includes': ['./include.gypi'], 'variables': {'addon_target_name%': 'addon', 'fortran_compiler%': 'gfortran', 'fflags': ['-std=f95', '-ffree-form', '-O3', '-Wall', '-Wextra', '-Wimplicit-interface', '-fno-underscoring', '-pedantic', '-c'], 'conditions': [['OS=="win"', {'obj': 'obj'}, {'obj': 'o'}]]}, 'targets': [{'target_name': '<(addon_target_name)', 'dependencies': [], 'include_dirs': ['<@(include_dirs)'], 'sources': ['<@(src_files)'], 'link_settings': {'libraries': ['<@(libraries)'], 'library_dirs': ['<@(library_dirs)']}, 'cflags': ['-Wall', '-O3'], 'cflags_c': ['-std=c99'], 'cflags_cpp': ['-std=c++11'], 'ldflags': [], 'conditions': [['OS=="mac"', {'ldflags': ['-undefined dynamic_lookup', '-Wl,-no-pie', '-Wl,-search_paths_first']}], ['OS!="win"', {'cflags': ['-fPIC']}]], 'rules': [{'extension': 'f', 'inputs': ['<(RULE_INPUT_PATH)'], 'outputs': ['<(INTERMEDIATE_DIR)/<(RULE_INPUT_ROOT).<(obj)'], 'conditions': [['OS=="win"', {'rule_name': 'compile_fortran_windows', 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Windows...', 'process_outputs_as_sources': 0, 'action': ['<(fortran_compiler)', '<@(fflags)', '<@(_inputs)', '-o', '<@(_outputs)']}, {'rule_name': 'compile_fortran_linux', 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Linux...', 'process_outputs_as_sources': 1, 'action': ['<(fortran_compiler)', '<@(fflags)', '-fPIC', '<@(_inputs)', '-o', '<@(_outputs)']}]]}]}, {'target_name': 'copy_addon', 'type': 'none', 'dependencies': ['<(addon_target_name)'], 'actions': [{'action_name': 'copy_addon', 'message': 'Copying addon...', 'inputs': [], 'outputs': ['<(addon_output_dir)/<(addon_target_name).node'], 'action': ['cp', '<(PRODUCT_DIR)/<(addon_target_name).node', '<(addon_output_dir)/<(addon_target_name).node']}]}]}
''' In this module, we implement selection sort Time complexity: O(n ^ 2) ''' def selection_sort(arr): ''' Sort array using selection sort ''' for index_x in range(len(arr)): min_index = index_x for index_y in range(index_x + 1, len(arr)): if arr[index_y] < arr[min_index]: min_index = index_y arr[min_index], arr[index_x] = arr[index_x], arr[min_index]
""" In this module, we implement selection sort Time complexity: O(n ^ 2) """ def selection_sort(arr): """ Sort array using selection sort """ for index_x in range(len(arr)): min_index = index_x for index_y in range(index_x + 1, len(arr)): if arr[index_y] < arr[min_index]: min_index = index_y (arr[min_index], arr[index_x]) = (arr[index_x], arr[min_index])
# Link : https://leetcode.com/problems/subtree-of-another-tree/ # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution(object): def sameTree(self , root , subRoot): if(root == None or subRoot == None): return root == None and subRoot == None # If one node matches , check if all its nodes match or not elif(root.val == subRoot.val): return self.sameTree(root.right , subRoot.right) and self.sameTree(root.left , subRoot.left) else: return False def isSubtree(self, root, subRoot): """ :type root: TreeNode :type subRoot: TreeNode :rtype: bool """ # Base Cases # If none if(root == None): return False # If subtree and tree is same elif(self.sameTree(root , subRoot)): return True else: return self.isSubtree(root.right , subRoot) or self.isSubtree(root.left , subRoot)
class Solution(object): def same_tree(self, root, subRoot): if root == None or subRoot == None: return root == None and subRoot == None elif root.val == subRoot.val: return self.sameTree(root.right, subRoot.right) and self.sameTree(root.left, subRoot.left) else: return False def is_subtree(self, root, subRoot): """ :type root: TreeNode :type subRoot: TreeNode :rtype: bool """ if root == None: return False elif self.sameTree(root, subRoot): return True else: return self.isSubtree(root.right, subRoot) or self.isSubtree(root.left, subRoot)
"""Cabal packages""" load("@bazel_skylib//lib:paths.bzl", "paths") load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") load("@bazel_tools//tools/cpp:toolchain_utils.bzl", "find_cpp_toolchain") load(":cc.bzl", "cc_interop_info") load(":private/context.bzl", "haskell_context", "render_env") load(":private/dependencies.bzl", "gather_dep_info") load(":private/expansions.bzl", "expand_make_variables") load(":private/mode.bzl", "is_profiling_enabled") load(":private/path_utils.bzl", "join_path_list", "truly_relativize") load(":private/set.bzl", "set") load(":haddock.bzl", "generate_unified_haddock_info") load( ":private/workspace_utils.bzl", _execute_or_fail_loudly = "execute_or_fail_loudly", ) load( ":providers.bzl", "HaddockInfo", "HaskellInfo", "HaskellLibraryInfo", "get_ghci_extra_libs", ) def _so_extension(hs): return "dylib" if hs.toolchain.is_darwin else "so" def _dirname(file): return file.dirname def _version(name): """Return the version component of a package name.""" return name.rpartition("-")[2] def _has_version(name): """Check whether a package identifier has a version component.""" return name.rpartition("-")[2].replace(".", "").isdigit() def _chop_version(name): """Remove any version component from the given package name.""" return name.rpartition("-")[0] def _find_cabal(hs, srcs): """Check that a .cabal file exists. Choose the root one.""" cabal = None for f in srcs: if f.extension == "cabal": if not cabal or f.dirname < cabal.dirname: cabal = f if not cabal: fail("A .cabal file was not found in the srcs attribute.") return cabal def _find_setup(hs, cabal, srcs): """Check that a Setup script exists. If not, create a default one.""" setup = None for f in srcs: if f.basename in ["Setup.hs", "Setup.lhs"]: if not setup or f.dirname < setup.dirname: setup = f if not setup: setup = hs.actions.declare_file("Setup.hs", sibling = cabal) hs.actions.write( output = setup, content = """ module Main where import Distribution.Simple main :: IO () main = defaultMain """, ) return setup _CABAL_TOOLS = ["alex", "c2hs", "cpphs", "doctest", "happy"] _CABAL_TOOL_LIBRARIES = ["cpphs", "doctest"] # Some old packages are empty compatibility shims. Empty packages # cause Cabal to not produce the outputs it normally produces. Instead # of detecting that, we blacklist the offending packages, on the # assumption that such packages are old and rare. # # TODO: replace this with a more general solution. _EMPTY_PACKAGES_BLACKLIST = [ "bytestring-builder", "fail", "mtl-compat", "nats", ] def _cabal_tool_flag(tool): """Return a --with-PROG=PATH flag if input is a recognized Cabal tool. None otherwise.""" if tool.basename in _CABAL_TOOLS: return "--with-{}={}".format(tool.basename, tool.path) def _binary_paths(binaries): return [binary.dirname for binary in binaries.to_list()] def _prepare_cabal_inputs(hs, cc, posix, dep_info, cc_info, direct_cc_info, component, package_id, tool_inputs, tool_input_manifests, cabal, setup, srcs, compiler_flags, flags, cabal_wrapper, package_database): """Compute Cabal wrapper, arguments, inputs.""" with_profiling = is_profiling_enabled(hs) # Haskell library dependencies or indirect C library dependencies are # already covered by their corresponding package-db entries. We only need # to add libraries and headers for direct C library dependencies to the # command line. (direct_libs, _) = get_ghci_extra_libs(hs, posix, direct_cc_info) (transitive_libs, env) = get_ghci_extra_libs(hs, posix, cc_info) env.update(**hs.env) env["PATH"] = join_path_list(hs, _binary_paths(tool_inputs) + posix.paths) if hs.toolchain.is_darwin: env["SDKROOT"] = "macosx" # See haskell/private/actions/link.bzl args = hs.actions.args() package_databases = dep_info.package_databases transitive_headers = cc_info.compilation_context.headers direct_include_dirs = depset(transitive = [ direct_cc_info.compilation_context.includes, direct_cc_info.compilation_context.quote_includes, direct_cc_info.compilation_context.system_includes, ]) direct_lib_dirs = [file.dirname for file in direct_libs.to_list()] args.add_all([component, package_id, setup, cabal.dirname, package_database.dirname]) args.add("--flags=" + " ".join(flags)) args.add_all(compiler_flags, format_each = "--ghc-option=%s") args.add("--") args.add_all(package_databases, map_each = _dirname, format_each = "--package-db=%s") args.add_all(direct_include_dirs, format_each = "--extra-include-dirs=%s") args.add_all(direct_lib_dirs, format_each = "--extra-lib-dirs=%s", uniquify = True) if with_profiling: args.add("--enable-profiling") # Redundant with _binary_paths() above, but better be explicit when we can. args.add_all(tool_inputs, map_each = _cabal_tool_flag) inputs = depset( [setup, hs.tools.ghc, hs.tools.ghc_pkg, hs.tools.runghc], transitive = [ depset(srcs), depset(cc.files), package_databases, transitive_headers, transitive_libs, dep_info.interface_dirs, dep_info.static_libraries, dep_info.dynamic_libraries, tool_inputs, ], ) input_manifests = tool_input_manifests return struct( cabal_wrapper = cabal_wrapper, args = args, inputs = inputs, input_manifests = input_manifests, env = env, ) def _haskell_cabal_library_impl(ctx): hs = haskell_context(ctx) dep_info = gather_dep_info(ctx, ctx.attr.deps) cc = cc_interop_info(ctx) # All C and Haskell library dependencies. cc_info = cc_common.merge_cc_infos( cc_infos = [dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep], ) # Separate direct C library dependencies. direct_cc_info = cc_common.merge_cc_infos( cc_infos = [ dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep and not HaskellInfo in dep ], ) posix = ctx.toolchains["@rules_sh//sh/posix:toolchain_type"] package_id = "{}-{}".format( ctx.attr.package_name if ctx.attr.package_name else hs.label.name, ctx.attr.version, ) with_profiling = is_profiling_enabled(hs) user_compile_flags = _expand_make_variables("compiler_flags", ctx, ctx.attr.compiler_flags) cabal = _find_cabal(hs, ctx.files.srcs) setup = _find_setup(hs, cabal, ctx.files.srcs) package_database = hs.actions.declare_file( "_install/{}.conf.d/package.cache".format(package_id), sibling = cabal, ) interfaces_dir = hs.actions.declare_directory( "_install/{}_iface".format(package_id), sibling = cabal, ) data_dir = hs.actions.declare_directory( "_install/{}_data".format(package_id), sibling = cabal, ) haddock_file = hs.actions.declare_file( "_install/{}_haddock/{}.haddock".format(package_id, ctx.attr.name), sibling = cabal, ) haddock_html_dir = hs.actions.declare_directory( "_install/{}_haddock_html".format(package_id), sibling = cabal, ) static_library_filename = "_install/lib/libHS{}.a".format(package_id) if with_profiling: static_library_filename = "_install/lib/libHS{}_p.a".format(package_id) static_library = hs.actions.declare_file( static_library_filename, sibling = cabal, ) if hs.toolchain.is_static: dynamic_library = None else: dynamic_library = hs.actions.declare_file( "_install/lib/libHS{}-ghc{}.{}".format( package_id, hs.toolchain.version, _so_extension(hs), ), sibling = cabal, ) (tool_inputs, tool_input_manifests) = ctx.resolve_tools(tools = ctx.attr.tools) c = _prepare_cabal_inputs( hs, cc, posix, dep_info, cc_info, direct_cc_info, component = "lib:{}".format( ctx.attr.package_name if ctx.attr.package_name else hs.label.name, ), package_id = package_id, tool_inputs = tool_inputs, tool_input_manifests = tool_input_manifests, cabal = cabal, setup = setup, srcs = ctx.files.srcs, compiler_flags = user_compile_flags, flags = ctx.attr.flags, cabal_wrapper = ctx.executable._cabal_wrapper, package_database = package_database, ) ctx.actions.run( executable = c.cabal_wrapper, arguments = [c.args], inputs = c.inputs, input_manifests = c.input_manifests, tools = [c.cabal_wrapper], outputs = [ package_database, interfaces_dir, static_library, data_dir, haddock_file, haddock_html_dir, ] + ([dynamic_library] if dynamic_library != None else []), env = c.env, mnemonic = "HaskellCabalLibrary", progress_message = "HaskellCabalLibrary {}".format(hs.label), ) default_info = DefaultInfo( files = depset([static_library] + ([dynamic_library] if dynamic_library != None else [])), runfiles = ctx.runfiles( files = [data_dir], collect_default = True, ), ) hs_info = HaskellInfo( package_databases = depset([package_database], transitive = [dep_info.package_databases]), version_macros = set.empty(), source_files = depset(), extra_source_files = depset(), import_dirs = set.empty(), static_libraries = depset( direct = [static_library], transitive = [dep_info.static_libraries], order = "topological", ), dynamic_libraries = depset( direct = [dynamic_library] if dynamic_library != None else [], transitive = [dep_info.dynamic_libraries], ), interface_dirs = depset([interfaces_dir], transitive = [dep_info.interface_dirs]), compile_flags = [], ) lib_info = HaskellLibraryInfo(package_id = package_id, version = None, exports = []) doc_info = generate_unified_haddock_info( this_package_id = package_id, this_package_html = haddock_html_dir, this_package_haddock = haddock_file, deps = ctx.attr.deps, ) cc_toolchain = find_cpp_toolchain(ctx) feature_configuration = cc_common.configure_features( ctx = ctx, cc_toolchain = cc_toolchain, requested_features = ctx.features, unsupported_features = ctx.disabled_features, ) library_to_link = cc_common.create_library_to_link( actions = ctx.actions, feature_configuration = feature_configuration, dynamic_library = dynamic_library, static_library = static_library, cc_toolchain = cc_toolchain, ) compilation_context = cc_common.create_compilation_context() linking_context = cc_common.create_linking_context( libraries_to_link = [library_to_link], ) cc_info = cc_common.merge_cc_infos( cc_infos = [ CcInfo( compilation_context = compilation_context, linking_context = linking_context, ), cc_info, ], ) return [default_info, hs_info, cc_info, lib_info, doc_info] haskell_cabal_library = rule( _haskell_cabal_library_impl, attrs = { "package_name": attr.string( doc = "Cabal package name. Defaults to name attribute.", ), "version": attr.string( doc = "Version of the Cabal package.", mandatory = True, ), "srcs": attr.label_list(allow_files = True), "deps": attr.label_list(), "compiler_flags": attr.string_list( doc = """Flags to pass to Haskell compiler, in addition to those defined the cabal file. Subject to Make variable substitution.""", ), "tools": attr.label_list( cfg = "host", allow_files = True, doc = """Tool dependencies. They are built using the host configuration, since the tools are executed as part of the build.""", ), "flags": attr.string_list( doc = "List of Cabal flags, will be passed to `Setup.hs configure --flags=...`.", ), "_cabal_wrapper": attr.label( executable = True, cfg = "host", default = Label("@rules_haskell//haskell:cabal_wrapper"), ), "_cc_toolchain": attr.label( default = Label("@bazel_tools//tools/cpp:current_cc_toolchain"), ), }, toolchains = [ "@bazel_tools//tools/cpp:toolchain_type", "@rules_haskell//haskell:toolchain", "@rules_sh//sh/posix:toolchain_type", ], fragments = ["cpp"], ) """Use Cabal to build a library. Example: ```bzl haskell_cabal_library( name = "lib-0.1.0.0", srcs = ["lib.cabal", "Lib.hs", "Setup.hs"], ) haskell_toolchain_library(name = "base") haskell_binary( name = "bin", deps = [":base", ":lib-0.1.0.0"], srcs = ["Main.hs"], ) ``` This rule does not use `cabal-install`. It calls the package's `Setup.hs` script directly if one exists, or the default one if not. All sources files that would have been part of a Cabal sdist need to be listed in `srcs` (crucially, including the `.cabal` file). A `haskell_cabal_library` can be substituted for any `haskell_library`. The two are interchangeable in most contexts. However, using a plain `haskell_library` sometimes leads to better build times, and does not require drafting a `.cabal` file. """ def _haskell_cabal_binary_impl(ctx): hs = haskell_context(ctx) dep_info = gather_dep_info(ctx, ctx.attr.deps) cc = cc_interop_info(ctx) # All C and Haskell library dependencies. cc_info = cc_common.merge_cc_infos( cc_infos = [dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep], ) # Separate direct C library dependencies. direct_cc_info = cc_common.merge_cc_infos( cc_infos = [ dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep and not HaskellInfo in dep ], ) posix = ctx.toolchains["@rules_sh//sh/posix:toolchain_type"] user_compile_flags = _expand_make_variables("compiler_flags", ctx, ctx.attr.compiler_flags) cabal = _find_cabal(hs, ctx.files.srcs) setup = _find_setup(hs, cabal, ctx.files.srcs) package_database = hs.actions.declare_file( "_install/{}.conf.d/package.cache".format(hs.label.name), sibling = cabal, ) binary = hs.actions.declare_file( "_install/bin/{name}{ext}".format( name = hs.label.name, ext = ".exe" if hs.toolchain.is_windows else "", ), sibling = cabal, ) data_dir = hs.actions.declare_directory( "_install/{}_data".format(hs.label.name), sibling = cabal, ) (tool_inputs, tool_input_manifests) = ctx.resolve_tools(tools = ctx.attr.tools) c = _prepare_cabal_inputs( hs, cc, posix, dep_info, cc_info, direct_cc_info, component = "exe:{}".format(hs.label.name), package_id = hs.label.name, tool_inputs = tool_inputs, tool_input_manifests = tool_input_manifests, cabal = cabal, setup = setup, srcs = ctx.files.srcs, compiler_flags = user_compile_flags, flags = ctx.attr.flags, cabal_wrapper = ctx.executable._cabal_wrapper, package_database = package_database, ) ctx.actions.run( executable = c.cabal_wrapper, arguments = [c.args], inputs = c.inputs, input_manifests = c.input_manifests, outputs = [ package_database, binary, data_dir, ], tools = [c.cabal_wrapper], env = c.env, mnemonic = "HaskellCabalBinary", progress_message = "HaskellCabalBinary {}".format(hs.label), ) hs_info = HaskellInfo( package_databases = dep_info.package_databases, version_macros = set.empty(), source_files = depset(), extra_source_files = depset(), import_dirs = set.empty(), static_libraries = dep_info.static_libraries, dynamic_libraries = dep_info.dynamic_libraries, interface_dirs = dep_info.interface_dirs, compile_flags = [], ) default_info = DefaultInfo( files = depset([binary]), executable = binary, runfiles = ctx.runfiles( files = [data_dir], collect_default = True, ), ) return [hs_info, cc_info, default_info] haskell_cabal_binary = rule( _haskell_cabal_binary_impl, executable = True, attrs = { "srcs": attr.label_list(allow_files = True), "deps": attr.label_list(), "compiler_flags": attr.string_list( doc = """Flags to pass to Haskell compiler, in addition to those defined the cabal file. Subject to Make variable substitution.""", ), "tools": attr.label_list( cfg = "host", doc = """Tool dependencies. They are built using the host configuration, since the tools are executed as part of the build.""", ), "flags": attr.string_list( doc = "List of Cabal flags, will be passed to `Setup.hs configure --flags=...`.", ), "_cabal_wrapper": attr.label( executable = True, cfg = "host", default = Label("@rules_haskell//haskell:cabal_wrapper"), ), "_cc_toolchain": attr.label( default = Label("@bazel_tools//tools/cpp:current_cc_toolchain"), ), }, toolchains = [ "@bazel_tools//tools/cpp:toolchain_type", "@rules_haskell//haskell:toolchain", "@rules_sh//sh/posix:toolchain_type", ], fragments = ["cpp"], ) """Use Cabal to build a binary. Example: ```bzl haskell_cabal_binary( name = "happy", srcs = glob(["**"]), ) ``` This rule assumes that the .cabal file defines a single executable with the same name as the package. This rule does not use `cabal-install`. It calls the package's `Setup.hs` script directly if one exists, or the default one if not. All sources files that would have been part of a Cabal sdist need to be listed in `srcs` (crucially, including the `.cabal` file). """ # Temporary hardcoded list of core libraries. This will no longer be # necessary once Stack 2.0 is released. # # TODO remove this list and replace it with Stack's --global-hints # mechanism. _CORE_PACKAGES = [ "Cabal", "array", "base", "binary", "bytestring", "containers", "deepseq", "directory", "filepath", "ghc", "ghc-boot", "ghc-boot-th", "ghc-compact", "ghc-heap", "ghc-prim", "ghci", "haskeline", "hpc", "integer-gmp", "integer-simple", "libiserv", "mtl", "parsec", "pretty", "process", "rts", "stm", "template-haskell", "terminfo", "text", "time", "transformers", "unix", "Win32", "xhtml", ] _STACK_DEFAULT_VERSION = "2.1.3" # Only ever need one version, but use same structure as for GHC bindists. _STACK_BINDISTS = \ { "2.1.3": { "freebsd-x86_64": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-freebsd-x86_64.tar.gz", "b646380bd1ee6c5f16ea111c31be494e6e85ed5050dea41cd29fac5973767821", ), "linux-aarch64": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-aarch64.tar.gz", "1212c3ef9c4e901c50b086f1d778c28d75eb27cb4529695d2f1a16ea3f898a6d", ), "linux-arm": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-arm.tar.gz", "6c8a2100183368d0fe8298bc99260681f10c81838423884be885baaa2e096e78", ), "linux-i386": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-i386.tar.gz", "4acd97f4c91b1d1333c8d84ea38f690f0b5ac5224ba591f8cdd1b9d0e8973807", ), "linux-x86_64": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-x86_64.tar.gz", "c724b207831fe5f06b087bac7e01d33e61a1c9cad6be0468f9c117d383ec5673", ), "osx-x86_64": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-osx-x86_64.tar.gz", "84b05b9cdb280fbc4b3d5fe23d1fc82a468956c917e16af7eeeabec5e5815d9f", ), "windows-i386": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-windows-i386.tar.gz", "9bc67a8dc0466b6fc12b44b3920ea6be3b00fa1c52cbeada1a7c092a5402ebb3", ), "windows-x86_64": ( "https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-windows-x86_64.tar.gz", "075bcd9130cd437de4e726466e5738c92c8e47d5666aa3a15d339e6ba62f76b2", ), }, } def _stack_version_check(repository_ctx, stack_cmd): """Returns False if version not recent enough.""" exec_result = _execute_or_fail_loudly(repository_ctx, [stack_cmd, "--numeric-version"]) stack_major_version = int(exec_result.stdout.split(".")[0]) return stack_major_version >= 2 def _compute_dependency_graph(repository_ctx, snapshot, core_packages, versioned_packages, unversioned_packages, vendored_packages): """Given a list of root packages, compute a dependency graph. Returns: dict(name: struct(name, version, versioned_name, deps, is_core_package, sdist)): name: The unversioned package name. version: The version of the package. versioned_name: <name>-<version>. flags: Cabal flags for this package. deps: The list of dependencies. vendored: Label of vendored package, None if not vendored. is_core_package: Whether the package is a core package. sdist: directory name of the unpackaged source distribution or None if core package or vendored. """ all_packages = {} for core_package in core_packages: all_packages[core_package] = struct( name = core_package, version = None, versioned_name = None, flags = repository_ctx.attr.flags.get(core_package, []), deps = [], vendored = None, is_core_package = True, sdist = None, ) if not versioned_packages and not unversioned_packages and not vendored_packages: return all_packages # Unpack all given packages, then compute the transitive closure # and unpack anything in the transitive closure as well. stack_cmd = repository_ctx.path(repository_ctx.attr.stack) if not _stack_version_check(repository_ctx, stack_cmd): fail("Stack version not recent enough. Need version 2.1 or newer.") stack = [stack_cmd] if versioned_packages: _execute_or_fail_loudly(repository_ctx, stack + ["unpack"] + versioned_packages) stack = [stack_cmd, "--resolver", snapshot] if unversioned_packages: _execute_or_fail_loudly(repository_ctx, stack + ["unpack"] + unversioned_packages) exec_result = _execute_or_fail_loudly(repository_ctx, ["ls"]) unpacked_sdists = exec_result.stdout.splitlines() # Determines path to vendored package's root directory relative to stack.yaml. # Note, this requires that the Cabal file exists in the package root and is # called `<name>.cabal`. vendored_sdists = [ truly_relativize( str(repository_ctx.path(label.relative(name + ".cabal")).dirname), relative_to = str(repository_ctx.path("stack.yaml").dirname), ) for (name, label) in vendored_packages.items() ] package_flags = { pkg_name: { flag[1:] if flag.startswith("-") else flag: not flag.startswith("-") for flag in flags } for (pkg_name, flags) in repository_ctx.attr.flags.items() } stack_yaml_content = struct(resolver = "none", packages = unpacked_sdists + vendored_sdists, flags = package_flags).to_json() repository_ctx.file("stack.yaml", content = stack_yaml_content, executable = False) exec_result = _execute_or_fail_loudly( repository_ctx, stack + ["ls", "dependencies", "--global-hints", "--separator=-"], ) transitive_unpacked_sdists = [] indirect_unpacked_sdists = [] for package in exec_result.stdout.splitlines(): name = _chop_version(package) if name in _CABAL_TOOLS and not name in _CABAL_TOOL_LIBRARIES: continue version = _version(package) vendored = vendored_packages.get(name, None) is_core_package = name in _CORE_PACKAGES all_packages[name] = struct( name = name, version = version, versioned_name = package, flags = repository_ctx.attr.flags.get(name, []), deps = [], vendored = vendored, is_core_package = is_core_package, sdist = None if is_core_package or vendored != None else package, ) if is_core_package or vendored != None: continue if version == "<unknown>": fail("""\ Could not resolve version of {}. It is not in the snapshot. Specify a fully qualified package name of the form <package>-<version>. """.format(package)) transitive_unpacked_sdists.append(package) if package not in unpacked_sdists: indirect_unpacked_sdists.append(name) # We removed the version numbers prior to calling `unpack`. This # way, stack will fetch the package sources from the snapshot # rather than from Hackage. See #1027. if indirect_unpacked_sdists: _execute_or_fail_loudly(repository_ctx, stack + ["unpack"] + indirect_unpacked_sdists) stack_yaml_content = struct(resolver = "none", packages = transitive_unpacked_sdists + vendored_sdists, flags = package_flags).to_json() repository_ctx.file("stack.yaml", stack_yaml_content, executable = False) # Compute dependency graph. exec_result = _execute_or_fail_loudly( repository_ctx, stack + ["dot", "--global-hints", "--external"], ) for line in exec_result.stdout.splitlines(): tokens = [w.strip('";') for w in line.split(" ")] # All lines of the form `"foo" -> "bar";` declare edges of the # dependency graph in the Graphviz format. if len(tokens) == 3 and tokens[1] == "->": [src, _, dest] = tokens if src in all_packages and dest in all_packages: all_packages[src].deps.append(dest) return all_packages def _invert(d): """Invert a dictionary.""" return dict(zip(d.values(), d.keys())) def _from_string_keyed_label_list_dict(d): """Convert string_keyed_label_list_dict to label_keyed_string_dict.""" # TODO Remove _from_string_keyed_label_list_dict once following issue # is resolved: https://github.com/bazelbuild/bazel/issues/7989. out = {} for (string_key, label_list) in d.items(): for label in label_list: if label in out: out[label] += " " + string_key else: out[label] = string_key return out def _to_string_keyed_label_list_dict(d): """Convert label_keyed_string_dict to string_keyed_label_list_dict.""" # TODO Remove _to_string_keyed_label_list_dict once following issue # is resolved: https://github.com/bazelbuild/bazel/issues/7989. out = {} for (label, string_key_list) in d.items(): for string_key in string_key_list.split(" "): out.setdefault(string_key, []).append(label) return out def _label_to_string(label): return "@{}//{}:{}".format(label.workspace_name, label.package, label.name) def _stack_snapshot_impl(repository_ctx): if repository_ctx.attr.snapshot and repository_ctx.attr.local_snapshot: fail("Please specify either snapshot or local_snapshot, but not both.") elif repository_ctx.attr.snapshot: snapshot = repository_ctx.attr.snapshot elif repository_ctx.attr.local_snapshot: snapshot = repository_ctx.path(repository_ctx.attr.local_snapshot) else: fail("Please specify one of snapshot or repository_snapshot") vendored_packages = _invert(repository_ctx.attr.vendored_packages) packages = repository_ctx.attr.packages core_packages = [] versioned_packages = [] unversioned_packages = [] for package in packages: has_version = _has_version(package) unversioned = _chop_version(package) if has_version else package if unversioned in vendored_packages: fail("Duplicate package '{}'. Packages may not be listed in both 'packages' and 'vendored_packages'.".format(package)) if unversioned in _CORE_PACKAGES: core_packages.append(unversioned) elif has_version: versioned_packages.append(package) else: unversioned_packages.append(package) all_packages = _compute_dependency_graph( repository_ctx, snapshot, core_packages, versioned_packages, unversioned_packages, vendored_packages, ) extra_deps = _to_string_keyed_label_list_dict(repository_ctx.attr.extra_deps) tools = [_label_to_string(label) for label in repository_ctx.attr.tools] # Write out dependency graph as importable Starlark value. repository_ctx.file( "packages.bzl", "packages = " + repr({ package.name: struct( name = package.name, version = package.version, deps = [Label("@{}//:{}".format(repository_ctx.name, dep)) for dep in package.deps], flags = package.flags, ) for package in all_packages.values() }), executable = False, ) # Write out the dependency graph as a BUILD file. build_file_builder = [] build_file_builder.append(""" load("@rules_haskell//haskell:cabal.bzl", "haskell_cabal_library") load("@rules_haskell//haskell:defs.bzl", "haskell_library", "haskell_toolchain_library") """) for package in all_packages.values(): if package.name in packages or package.versioned_name in packages or package.vendored != None: visibility = ["//visibility:public"] else: visibility = ["//visibility:private"] if package.vendored != None: build_file_builder.append( """ alias(name = "{name}", actual = "{actual}", visibility = {visibility}) """.format(name = package.name, actual = package.vendored, visibility = visibility), ) elif package.is_core_package: build_file_builder.append( """ haskell_toolchain_library(name = "{name}", visibility = {visibility}) """.format(name = package.name, visibility = visibility), ) elif package.name in _EMPTY_PACKAGES_BLACKLIST: build_file_builder.append( """ haskell_library( name = "{name}", version = "{version}", visibility = {visibility}, ) """.format( name = package.name, version = package.version, visibility = visibility, ), ) else: build_file_builder.append( """ haskell_cabal_library( name = "{name}", version = "{version}", flags = {flags}, srcs = glob(["{dir}/**"]), deps = {deps}, tools = {tools}, visibility = {visibility}, compiler_flags = ["-w", "-optF=-w"], ) """.format( name = package.name, version = package.version, flags = package.flags, dir = package.sdist, deps = package.deps + [ _label_to_string(label) for label in extra_deps.get(package.name, []) ], tools = tools, visibility = visibility, ), ) if package.versioned_name != None: build_file_builder.append( """alias(name = "{name}", actual = ":{actual}", visibility = {visibility})""".format( name = package.versioned_name, actual = package.name, visibility = visibility, ), ) build_file_content = "\n".join(build_file_builder) repository_ctx.file("BUILD.bazel", build_file_content, executable = False) _stack_snapshot = repository_rule( _stack_snapshot_impl, attrs = { "snapshot": attr.string(), "local_snapshot": attr.label(allow_single_file = True), "packages": attr.string_list(), "vendored_packages": attr.label_keyed_string_dict(), "flags": attr.string_list_dict(), "extra_deps": attr.label_keyed_string_dict(), "tools": attr.label_list(), "stack": attr.label(), "stack_update": attr.label(), }, ) def _stack_update_impl(repository_ctx): stack_cmd = repository_ctx.path(repository_ctx.attr.stack) _execute_or_fail_loudly(repository_ctx, [stack_cmd, "update"]) repository_ctx.file("stack_update") repository_ctx.file("BUILD.bazel", content = "exports_files(['stack_update'])") _stack_update = repository_rule( _stack_update_impl, attrs = { "stack": attr.label(), }, # Marked as local so that stack update is always executed before # _stack_snapshot is executed. local = True, ) """Execute stack update. This is extracted into a singleton repository rule to avoid concurrent invocations of stack update. See https://github.com/tweag/rules_haskell/issues/1090 """ def _get_platform(repository_ctx): """Map OS name and architecture to Stack platform identifiers.""" os_name = repository_ctx.os.name.lower() if os_name.startswith("linux"): os = "linux" elif os_name.startswith("mac os"): os = "osx" elif os_name.find("freebsd") != -1: os = "freebsd" elif os_name.find("windows") != -1: os = "windows" else: fail("Unknown OS: '{}'".format(os_name)) if os == "windows": reg_query = ["reg", "QUERY", "HKLM\\SYSTEM\\CurrentControlSet\\Control\\Session Manager\\Environment", "/v", "PROCESSOR_ARCHITECTURE"] result = repository_ctx.execute(reg_query) value = result.stdout.strip().split(" ")[-1].lower() if value in ["amd64", "ia64"]: arch = "x86_64" elif value in ["x86"]: arch = "i386" else: fail("Failed to determine CPU architecture:\n{}\n{}".format(result.stdout, result.stderr)) else: result = repository_ctx.execute(["uname", "-m"]) if result.stdout.strip() in ["arm", "armv7l"]: arch = "arm" elif result.stdout.strip() in ["aarch64"]: arch = "aarch64" elif result.stdout.strip() in ["amd64", "x86_64", "x64"]: arch = "x86_64" elif result.stdout.strip() in ["i386", "i486", "i586", "i686"]: arch = "i386" else: fail("Failed to determine CPU architecture:\n{}\n{}".format(result.stdout, result.stderr)) return (os, arch) def _fetch_stack_impl(repository_ctx): repository_ctx.file("BUILD.bazel") stack_cmd = repository_ctx.which("stack") if stack_cmd: if _stack_version_check(repository_ctx, stack_cmd): repository_ctx.symlink(stack_cmd, "stack") return else: print("Stack version not recent enough. Downloading a newer version...") # If we can't find Stack, download it. (os, arch) = _get_platform(repository_ctx) version = _STACK_DEFAULT_VERSION (url, sha256) = _STACK_BINDISTS[version]["{}-{}".format(os, arch)] repository_ctx.download_and_extract(url = url, sha256 = sha256) stack_cmd = repository_ctx.path( "stack-{}-{}-{}".format(version, os, arch), ).get_child("stack.exe" if os == "windows" else "stack") _execute_or_fail_loudly(repository_ctx, [stack_cmd, "--version"]) exec_result = repository_ctx.execute([stack_cmd, "--version"], quiet = True) if exec_result.return_code != 0: error_messsage = ["A Stack binary for your platform exists, but it failed to execute."] if os == "linux": error_messsage.append("HINT: If you are on NixOS,") error_messsage.append("* make Stack available on the PATH, or") error_messsage.append("* specify a Stack binary using the stack attribute.") fail("\n".join(error_messsage).format(exec_result.return_code)) repository_ctx.symlink(stack_cmd, "stack") _fetch_stack = repository_rule( _fetch_stack_impl, ) """Find a suitably recent local Stack or download it.""" def stack_snapshot(stack = None, extra_deps = {}, vendored_packages = {}, **kwargs): """Use Stack to download and extract Cabal source distributions. Args: snapshot: The name of a Stackage snapshot. Incompatible with local_snapshot. local_snapshot: A custom Stack snapshot file, as per the Stack documentation. Incompatible with snapshot. packages: A set of package identifiers. For packages in the snapshot, version numbers can be omitted. vendored_packages: Add or override a package to the snapshot with a custom unpacked source distribution. Each package must contain a Cabal file named `<package-name>.cabal` in the package root. flags: A dict from package name to list of flags. extra_deps: Extra dependencies of packages, e.g. system libraries or C/C++ libraries. tools: Tool dependencies. They are built using the host configuration, since the tools are executed as part of the build. stack: The stack binary to use to enumerate package dependencies. Examples: ```bzl stack_snapshot( name = "stackage", packages = ["conduit", "lens", "zlib-0.6.2"], vendored_packages = {"split": "//split:split"}, tools = ["@happy//:happy", "@c2hs//:c2hs"], snapshot = "lts-13.15", extra_deps = {"zlib": ["@zlib.dev//:zlib"]}, ) ``` defines `@stackage//:conduit`, `@stackage//:lens`, `@stackage//:zlib` library targets. Alternatively ```bzl stack_snapshot( name = "stackage", packages = ["conduit", "lens", "zlib"], flags = {"zlib": ["-non-blocking-ffi"]}, tools = ["@happy//:happy", "@c2hs//:c2hs"], local_Snapshot = "//:snapshot.yaml", extra_deps = {"zlib": ["@zlib.dev//:zlib"]}, ``` Does the same as the previous example, provided there is a `snapshot.yaml`, at the root of the repository with content ```yaml resolver: lts-13.15 packages: - zlib-0.6.2 ``` This rule will use Stack to compute the transitive closure of the subset of the given snapshot listed in the `packages` attribute, and generate a dependency graph. If a package in the closure depends on system libraries or other external libraries, use the `extra_deps` attribute to list them. This attribute works like the `--extra-{include,lib}-dirs` flags for Stack and cabal-install do. Packages that are in the snapshot need not have their versions specified. But any additional packages or version overrides will have to be specified with a package identifier of the form `<package>-<version>` in the `packages` attribute. In the external repository defined by the rule, all given packages are available as top-level targets named after each package. Additionally, the dependency graph is made available within `packages.bzl` as the `dict` `packages` mapping unversioned package names to structs holding the fields - name: The unversioned package name. - version: The package version. - deps: The list of package dependencies according to stack. - flags: The list of Cabal flags. """ if not stack: _fetch_stack(name = "rules_haskell_stack") stack = Label("@rules_haskell_stack//:stack") # Execute stack update once before executing _stack_snapshot. # This is to avoid multiple concurrent executions of stack update, # which may fail due to ~/.stack/pantry/hackage/hackage-security-lock. # See https://github.com/tweag/rules_haskell/issues/1090. maybe( _stack_update, name = "rules_haskell_stack_update", stack = stack, ) _stack_snapshot( stack = stack, # Dependency for ordered execution, stack update before stack unpack. stack_update = "@rules_haskell_stack_update//:stack_update", # TODO Remove _from_string_keyed_label_list_dict once following issue # is resolved: https://github.com/bazelbuild/bazel/issues/7989. extra_deps = _from_string_keyed_label_list_dict(extra_deps), # TODO Remove _invert once following issue is resolved: # https://github.com/bazelbuild/bazel/issues/7989. vendored_packages = _invert(vendored_packages), **kwargs ) def _expand_make_variables(name, ctx, strings): extra_label_attrs = [ ctx.attr.srcs, ctx.attr.tools, ] return expand_make_variables(name, ctx, strings, extra_label_attrs)
"""Cabal packages""" load('@bazel_skylib//lib:paths.bzl', 'paths') load('@bazel_tools//tools/build_defs/repo:utils.bzl', 'maybe') load('@bazel_tools//tools/cpp:toolchain_utils.bzl', 'find_cpp_toolchain') load(':cc.bzl', 'cc_interop_info') load(':private/context.bzl', 'haskell_context', 'render_env') load(':private/dependencies.bzl', 'gather_dep_info') load(':private/expansions.bzl', 'expand_make_variables') load(':private/mode.bzl', 'is_profiling_enabled') load(':private/path_utils.bzl', 'join_path_list', 'truly_relativize') load(':private/set.bzl', 'set') load(':haddock.bzl', 'generate_unified_haddock_info') load(':private/workspace_utils.bzl', _execute_or_fail_loudly='execute_or_fail_loudly') load(':providers.bzl', 'HaddockInfo', 'HaskellInfo', 'HaskellLibraryInfo', 'get_ghci_extra_libs') def _so_extension(hs): return 'dylib' if hs.toolchain.is_darwin else 'so' def _dirname(file): return file.dirname def _version(name): """Return the version component of a package name.""" return name.rpartition('-')[2] def _has_version(name): """Check whether a package identifier has a version component.""" return name.rpartition('-')[2].replace('.', '').isdigit() def _chop_version(name): """Remove any version component from the given package name.""" return name.rpartition('-')[0] def _find_cabal(hs, srcs): """Check that a .cabal file exists. Choose the root one.""" cabal = None for f in srcs: if f.extension == 'cabal': if not cabal or f.dirname < cabal.dirname: cabal = f if not cabal: fail('A .cabal file was not found in the srcs attribute.') return cabal def _find_setup(hs, cabal, srcs): """Check that a Setup script exists. If not, create a default one.""" setup = None for f in srcs: if f.basename in ['Setup.hs', 'Setup.lhs']: if not setup or f.dirname < setup.dirname: setup = f if not setup: setup = hs.actions.declare_file('Setup.hs', sibling=cabal) hs.actions.write(output=setup, content='\nmodule Main where\nimport Distribution.Simple\n\nmain :: IO ()\nmain = defaultMain\n') return setup _cabal_tools = ['alex', 'c2hs', 'cpphs', 'doctest', 'happy'] _cabal_tool_libraries = ['cpphs', 'doctest'] _empty_packages_blacklist = ['bytestring-builder', 'fail', 'mtl-compat', 'nats'] def _cabal_tool_flag(tool): """Return a --with-PROG=PATH flag if input is a recognized Cabal tool. None otherwise.""" if tool.basename in _CABAL_TOOLS: return '--with-{}={}'.format(tool.basename, tool.path) def _binary_paths(binaries): return [binary.dirname for binary in binaries.to_list()] def _prepare_cabal_inputs(hs, cc, posix, dep_info, cc_info, direct_cc_info, component, package_id, tool_inputs, tool_input_manifests, cabal, setup, srcs, compiler_flags, flags, cabal_wrapper, package_database): """Compute Cabal wrapper, arguments, inputs.""" with_profiling = is_profiling_enabled(hs) (direct_libs, _) = get_ghci_extra_libs(hs, posix, direct_cc_info) (transitive_libs, env) = get_ghci_extra_libs(hs, posix, cc_info) env.update(**hs.env) env['PATH'] = join_path_list(hs, _binary_paths(tool_inputs) + posix.paths) if hs.toolchain.is_darwin: env['SDKROOT'] = 'macosx' args = hs.actions.args() package_databases = dep_info.package_databases transitive_headers = cc_info.compilation_context.headers direct_include_dirs = depset(transitive=[direct_cc_info.compilation_context.includes, direct_cc_info.compilation_context.quote_includes, direct_cc_info.compilation_context.system_includes]) direct_lib_dirs = [file.dirname for file in direct_libs.to_list()] args.add_all([component, package_id, setup, cabal.dirname, package_database.dirname]) args.add('--flags=' + ' '.join(flags)) args.add_all(compiler_flags, format_each='--ghc-option=%s') args.add('--') args.add_all(package_databases, map_each=_dirname, format_each='--package-db=%s') args.add_all(direct_include_dirs, format_each='--extra-include-dirs=%s') args.add_all(direct_lib_dirs, format_each='--extra-lib-dirs=%s', uniquify=True) if with_profiling: args.add('--enable-profiling') args.add_all(tool_inputs, map_each=_cabal_tool_flag) inputs = depset([setup, hs.tools.ghc, hs.tools.ghc_pkg, hs.tools.runghc], transitive=[depset(srcs), depset(cc.files), package_databases, transitive_headers, transitive_libs, dep_info.interface_dirs, dep_info.static_libraries, dep_info.dynamic_libraries, tool_inputs]) input_manifests = tool_input_manifests return struct(cabal_wrapper=cabal_wrapper, args=args, inputs=inputs, input_manifests=input_manifests, env=env) def _haskell_cabal_library_impl(ctx): hs = haskell_context(ctx) dep_info = gather_dep_info(ctx, ctx.attr.deps) cc = cc_interop_info(ctx) cc_info = cc_common.merge_cc_infos(cc_infos=[dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep]) direct_cc_info = cc_common.merge_cc_infos(cc_infos=[dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep and (not HaskellInfo in dep)]) posix = ctx.toolchains['@rules_sh//sh/posix:toolchain_type'] package_id = '{}-{}'.format(ctx.attr.package_name if ctx.attr.package_name else hs.label.name, ctx.attr.version) with_profiling = is_profiling_enabled(hs) user_compile_flags = _expand_make_variables('compiler_flags', ctx, ctx.attr.compiler_flags) cabal = _find_cabal(hs, ctx.files.srcs) setup = _find_setup(hs, cabal, ctx.files.srcs) package_database = hs.actions.declare_file('_install/{}.conf.d/package.cache'.format(package_id), sibling=cabal) interfaces_dir = hs.actions.declare_directory('_install/{}_iface'.format(package_id), sibling=cabal) data_dir = hs.actions.declare_directory('_install/{}_data'.format(package_id), sibling=cabal) haddock_file = hs.actions.declare_file('_install/{}_haddock/{}.haddock'.format(package_id, ctx.attr.name), sibling=cabal) haddock_html_dir = hs.actions.declare_directory('_install/{}_haddock_html'.format(package_id), sibling=cabal) static_library_filename = '_install/lib/libHS{}.a'.format(package_id) if with_profiling: static_library_filename = '_install/lib/libHS{}_p.a'.format(package_id) static_library = hs.actions.declare_file(static_library_filename, sibling=cabal) if hs.toolchain.is_static: dynamic_library = None else: dynamic_library = hs.actions.declare_file('_install/lib/libHS{}-ghc{}.{}'.format(package_id, hs.toolchain.version, _so_extension(hs)), sibling=cabal) (tool_inputs, tool_input_manifests) = ctx.resolve_tools(tools=ctx.attr.tools) c = _prepare_cabal_inputs(hs, cc, posix, dep_info, cc_info, direct_cc_info, component='lib:{}'.format(ctx.attr.package_name if ctx.attr.package_name else hs.label.name), package_id=package_id, tool_inputs=tool_inputs, tool_input_manifests=tool_input_manifests, cabal=cabal, setup=setup, srcs=ctx.files.srcs, compiler_flags=user_compile_flags, flags=ctx.attr.flags, cabal_wrapper=ctx.executable._cabal_wrapper, package_database=package_database) ctx.actions.run(executable=c.cabal_wrapper, arguments=[c.args], inputs=c.inputs, input_manifests=c.input_manifests, tools=[c.cabal_wrapper], outputs=[package_database, interfaces_dir, static_library, data_dir, haddock_file, haddock_html_dir] + ([dynamic_library] if dynamic_library != None else []), env=c.env, mnemonic='HaskellCabalLibrary', progress_message='HaskellCabalLibrary {}'.format(hs.label)) default_info = default_info(files=depset([static_library] + ([dynamic_library] if dynamic_library != None else [])), runfiles=ctx.runfiles(files=[data_dir], collect_default=True)) hs_info = haskell_info(package_databases=depset([package_database], transitive=[dep_info.package_databases]), version_macros=set.empty(), source_files=depset(), extra_source_files=depset(), import_dirs=set.empty(), static_libraries=depset(direct=[static_library], transitive=[dep_info.static_libraries], order='topological'), dynamic_libraries=depset(direct=[dynamic_library] if dynamic_library != None else [], transitive=[dep_info.dynamic_libraries]), interface_dirs=depset([interfaces_dir], transitive=[dep_info.interface_dirs]), compile_flags=[]) lib_info = haskell_library_info(package_id=package_id, version=None, exports=[]) doc_info = generate_unified_haddock_info(this_package_id=package_id, this_package_html=haddock_html_dir, this_package_haddock=haddock_file, deps=ctx.attr.deps) cc_toolchain = find_cpp_toolchain(ctx) feature_configuration = cc_common.configure_features(ctx=ctx, cc_toolchain=cc_toolchain, requested_features=ctx.features, unsupported_features=ctx.disabled_features) library_to_link = cc_common.create_library_to_link(actions=ctx.actions, feature_configuration=feature_configuration, dynamic_library=dynamic_library, static_library=static_library, cc_toolchain=cc_toolchain) compilation_context = cc_common.create_compilation_context() linking_context = cc_common.create_linking_context(libraries_to_link=[library_to_link]) cc_info = cc_common.merge_cc_infos(cc_infos=[cc_info(compilation_context=compilation_context, linking_context=linking_context), cc_info]) return [default_info, hs_info, cc_info, lib_info, doc_info] haskell_cabal_library = rule(_haskell_cabal_library_impl, attrs={'package_name': attr.string(doc='Cabal package name. Defaults to name attribute.'), 'version': attr.string(doc='Version of the Cabal package.', mandatory=True), 'srcs': attr.label_list(allow_files=True), 'deps': attr.label_list(), 'compiler_flags': attr.string_list(doc='Flags to pass to Haskell compiler, in addition to those defined\n the cabal file. Subject to Make variable substitution.'), 'tools': attr.label_list(cfg='host', allow_files=True, doc='Tool dependencies. They are built using the host configuration, since\n the tools are executed as part of the build.'), 'flags': attr.string_list(doc='List of Cabal flags, will be passed to `Setup.hs configure --flags=...`.'), '_cabal_wrapper': attr.label(executable=True, cfg='host', default=label('@rules_haskell//haskell:cabal_wrapper')), '_cc_toolchain': attr.label(default=label('@bazel_tools//tools/cpp:current_cc_toolchain'))}, toolchains=['@bazel_tools//tools/cpp:toolchain_type', '@rules_haskell//haskell:toolchain', '@rules_sh//sh/posix:toolchain_type'], fragments=['cpp']) 'Use Cabal to build a library.\n\nExample:\n ```bzl\n haskell_cabal_library(\n name = "lib-0.1.0.0",\n srcs = ["lib.cabal", "Lib.hs", "Setup.hs"],\n )\n\n haskell_toolchain_library(name = "base")\n\n haskell_binary(\n name = "bin",\n deps = [":base", ":lib-0.1.0.0"],\n srcs = ["Main.hs"],\n )\n ```\n\nThis rule does not use `cabal-install`. It calls the package\'s\n`Setup.hs` script directly if one exists, or the default one if not.\nAll sources files that would have been part of a Cabal sdist need to\nbe listed in `srcs` (crucially, including the `.cabal` file).\nA `haskell_cabal_library` can be substituted for any\n`haskell_library`. The two are interchangeable in most contexts.\nHowever, using a plain `haskell_library` sometimes leads to better\nbuild times, and does not require drafting a `.cabal` file.\n\n' def _haskell_cabal_binary_impl(ctx): hs = haskell_context(ctx) dep_info = gather_dep_info(ctx, ctx.attr.deps) cc = cc_interop_info(ctx) cc_info = cc_common.merge_cc_infos(cc_infos=[dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep]) direct_cc_info = cc_common.merge_cc_infos(cc_infos=[dep[CcInfo] for dep in ctx.attr.deps if CcInfo in dep and (not HaskellInfo in dep)]) posix = ctx.toolchains['@rules_sh//sh/posix:toolchain_type'] user_compile_flags = _expand_make_variables('compiler_flags', ctx, ctx.attr.compiler_flags) cabal = _find_cabal(hs, ctx.files.srcs) setup = _find_setup(hs, cabal, ctx.files.srcs) package_database = hs.actions.declare_file('_install/{}.conf.d/package.cache'.format(hs.label.name), sibling=cabal) binary = hs.actions.declare_file('_install/bin/{name}{ext}'.format(name=hs.label.name, ext='.exe' if hs.toolchain.is_windows else ''), sibling=cabal) data_dir = hs.actions.declare_directory('_install/{}_data'.format(hs.label.name), sibling=cabal) (tool_inputs, tool_input_manifests) = ctx.resolve_tools(tools=ctx.attr.tools) c = _prepare_cabal_inputs(hs, cc, posix, dep_info, cc_info, direct_cc_info, component='exe:{}'.format(hs.label.name), package_id=hs.label.name, tool_inputs=tool_inputs, tool_input_manifests=tool_input_manifests, cabal=cabal, setup=setup, srcs=ctx.files.srcs, compiler_flags=user_compile_flags, flags=ctx.attr.flags, cabal_wrapper=ctx.executable._cabal_wrapper, package_database=package_database) ctx.actions.run(executable=c.cabal_wrapper, arguments=[c.args], inputs=c.inputs, input_manifests=c.input_manifests, outputs=[package_database, binary, data_dir], tools=[c.cabal_wrapper], env=c.env, mnemonic='HaskellCabalBinary', progress_message='HaskellCabalBinary {}'.format(hs.label)) hs_info = haskell_info(package_databases=dep_info.package_databases, version_macros=set.empty(), source_files=depset(), extra_source_files=depset(), import_dirs=set.empty(), static_libraries=dep_info.static_libraries, dynamic_libraries=dep_info.dynamic_libraries, interface_dirs=dep_info.interface_dirs, compile_flags=[]) default_info = default_info(files=depset([binary]), executable=binary, runfiles=ctx.runfiles(files=[data_dir], collect_default=True)) return [hs_info, cc_info, default_info] haskell_cabal_binary = rule(_haskell_cabal_binary_impl, executable=True, attrs={'srcs': attr.label_list(allow_files=True), 'deps': attr.label_list(), 'compiler_flags': attr.string_list(doc='Flags to pass to Haskell compiler, in addition to those defined\n the cabal file. Subject to Make variable substitution.'), 'tools': attr.label_list(cfg='host', doc='Tool dependencies. They are built using the host configuration, since\n the tools are executed as part of the build.'), 'flags': attr.string_list(doc='List of Cabal flags, will be passed to `Setup.hs configure --flags=...`.'), '_cabal_wrapper': attr.label(executable=True, cfg='host', default=label('@rules_haskell//haskell:cabal_wrapper')), '_cc_toolchain': attr.label(default=label('@bazel_tools//tools/cpp:current_cc_toolchain'))}, toolchains=['@bazel_tools//tools/cpp:toolchain_type', '@rules_haskell//haskell:toolchain', '@rules_sh//sh/posix:toolchain_type'], fragments=['cpp']) 'Use Cabal to build a binary.\n\nExample:\n ```bzl\n haskell_cabal_binary(\n name = "happy",\n srcs = glob(["**"]),\n )\n ```\n\nThis rule assumes that the .cabal file defines a single executable\nwith the same name as the package.\n\nThis rule does not use `cabal-install`. It calls the package\'s\n`Setup.hs` script directly if one exists, or the default one if not.\nAll sources files that would have been part of a Cabal sdist need to\nbe listed in `srcs` (crucially, including the `.cabal` file).\n\n' _core_packages = ['Cabal', 'array', 'base', 'binary', 'bytestring', 'containers', 'deepseq', 'directory', 'filepath', 'ghc', 'ghc-boot', 'ghc-boot-th', 'ghc-compact', 'ghc-heap', 'ghc-prim', 'ghci', 'haskeline', 'hpc', 'integer-gmp', 'integer-simple', 'libiserv', 'mtl', 'parsec', 'pretty', 'process', 'rts', 'stm', 'template-haskell', 'terminfo', 'text', 'time', 'transformers', 'unix', 'Win32', 'xhtml'] _stack_default_version = '2.1.3' _stack_bindists = {'2.1.3': {'freebsd-x86_64': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-freebsd-x86_64.tar.gz', 'b646380bd1ee6c5f16ea111c31be494e6e85ed5050dea41cd29fac5973767821'), 'linux-aarch64': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-aarch64.tar.gz', '1212c3ef9c4e901c50b086f1d778c28d75eb27cb4529695d2f1a16ea3f898a6d'), 'linux-arm': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-arm.tar.gz', '6c8a2100183368d0fe8298bc99260681f10c81838423884be885baaa2e096e78'), 'linux-i386': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-i386.tar.gz', '4acd97f4c91b1d1333c8d84ea38f690f0b5ac5224ba591f8cdd1b9d0e8973807'), 'linux-x86_64': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-linux-x86_64.tar.gz', 'c724b207831fe5f06b087bac7e01d33e61a1c9cad6be0468f9c117d383ec5673'), 'osx-x86_64': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-osx-x86_64.tar.gz', '84b05b9cdb280fbc4b3d5fe23d1fc82a468956c917e16af7eeeabec5e5815d9f'), 'windows-i386': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-windows-i386.tar.gz', '9bc67a8dc0466b6fc12b44b3920ea6be3b00fa1c52cbeada1a7c092a5402ebb3'), 'windows-x86_64': ('https://github.com/commercialhaskell/stack/releases/download/v2.1.3/stack-2.1.3-windows-x86_64.tar.gz', '075bcd9130cd437de4e726466e5738c92c8e47d5666aa3a15d339e6ba62f76b2')}} def _stack_version_check(repository_ctx, stack_cmd): """Returns False if version not recent enough.""" exec_result = _execute_or_fail_loudly(repository_ctx, [stack_cmd, '--numeric-version']) stack_major_version = int(exec_result.stdout.split('.')[0]) return stack_major_version >= 2 def _compute_dependency_graph(repository_ctx, snapshot, core_packages, versioned_packages, unversioned_packages, vendored_packages): """Given a list of root packages, compute a dependency graph. Returns: dict(name: struct(name, version, versioned_name, deps, is_core_package, sdist)): name: The unversioned package name. version: The version of the package. versioned_name: <name>-<version>. flags: Cabal flags for this package. deps: The list of dependencies. vendored: Label of vendored package, None if not vendored. is_core_package: Whether the package is a core package. sdist: directory name of the unpackaged source distribution or None if core package or vendored. """ all_packages = {} for core_package in core_packages: all_packages[core_package] = struct(name=core_package, version=None, versioned_name=None, flags=repository_ctx.attr.flags.get(core_package, []), deps=[], vendored=None, is_core_package=True, sdist=None) if not versioned_packages and (not unversioned_packages) and (not vendored_packages): return all_packages stack_cmd = repository_ctx.path(repository_ctx.attr.stack) if not _stack_version_check(repository_ctx, stack_cmd): fail('Stack version not recent enough. Need version 2.1 or newer.') stack = [stack_cmd] if versioned_packages: _execute_or_fail_loudly(repository_ctx, stack + ['unpack'] + versioned_packages) stack = [stack_cmd, '--resolver', snapshot] if unversioned_packages: _execute_or_fail_loudly(repository_ctx, stack + ['unpack'] + unversioned_packages) exec_result = _execute_or_fail_loudly(repository_ctx, ['ls']) unpacked_sdists = exec_result.stdout.splitlines() vendored_sdists = [truly_relativize(str(repository_ctx.path(label.relative(name + '.cabal')).dirname), relative_to=str(repository_ctx.path('stack.yaml').dirname)) for (name, label) in vendored_packages.items()] package_flags = {pkg_name: {flag[1:] if flag.startswith('-') else flag: not flag.startswith('-') for flag in flags} for (pkg_name, flags) in repository_ctx.attr.flags.items()} stack_yaml_content = struct(resolver='none', packages=unpacked_sdists + vendored_sdists, flags=package_flags).to_json() repository_ctx.file('stack.yaml', content=stack_yaml_content, executable=False) exec_result = _execute_or_fail_loudly(repository_ctx, stack + ['ls', 'dependencies', '--global-hints', '--separator=-']) transitive_unpacked_sdists = [] indirect_unpacked_sdists = [] for package in exec_result.stdout.splitlines(): name = _chop_version(package) if name in _CABAL_TOOLS and (not name in _CABAL_TOOL_LIBRARIES): continue version = _version(package) vendored = vendored_packages.get(name, None) is_core_package = name in _CORE_PACKAGES all_packages[name] = struct(name=name, version=version, versioned_name=package, flags=repository_ctx.attr.flags.get(name, []), deps=[], vendored=vendored, is_core_package=is_core_package, sdist=None if is_core_package or vendored != None else package) if is_core_package or vendored != None: continue if version == '<unknown>': fail('Could not resolve version of {}. It is not in the snapshot.\nSpecify a fully qualified package name of the form <package>-<version>.\n '.format(package)) transitive_unpacked_sdists.append(package) if package not in unpacked_sdists: indirect_unpacked_sdists.append(name) if indirect_unpacked_sdists: _execute_or_fail_loudly(repository_ctx, stack + ['unpack'] + indirect_unpacked_sdists) stack_yaml_content = struct(resolver='none', packages=transitive_unpacked_sdists + vendored_sdists, flags=package_flags).to_json() repository_ctx.file('stack.yaml', stack_yaml_content, executable=False) exec_result = _execute_or_fail_loudly(repository_ctx, stack + ['dot', '--global-hints', '--external']) for line in exec_result.stdout.splitlines(): tokens = [w.strip('";') for w in line.split(' ')] if len(tokens) == 3 and tokens[1] == '->': [src, _, dest] = tokens if src in all_packages and dest in all_packages: all_packages[src].deps.append(dest) return all_packages def _invert(d): """Invert a dictionary.""" return dict(zip(d.values(), d.keys())) def _from_string_keyed_label_list_dict(d): """Convert string_keyed_label_list_dict to label_keyed_string_dict.""" out = {} for (string_key, label_list) in d.items(): for label in label_list: if label in out: out[label] += ' ' + string_key else: out[label] = string_key return out def _to_string_keyed_label_list_dict(d): """Convert label_keyed_string_dict to string_keyed_label_list_dict.""" out = {} for (label, string_key_list) in d.items(): for string_key in string_key_list.split(' '): out.setdefault(string_key, []).append(label) return out def _label_to_string(label): return '@{}//{}:{}'.format(label.workspace_name, label.package, label.name) def _stack_snapshot_impl(repository_ctx): if repository_ctx.attr.snapshot and repository_ctx.attr.local_snapshot: fail('Please specify either snapshot or local_snapshot, but not both.') elif repository_ctx.attr.snapshot: snapshot = repository_ctx.attr.snapshot elif repository_ctx.attr.local_snapshot: snapshot = repository_ctx.path(repository_ctx.attr.local_snapshot) else: fail('Please specify one of snapshot or repository_snapshot') vendored_packages = _invert(repository_ctx.attr.vendored_packages) packages = repository_ctx.attr.packages core_packages = [] versioned_packages = [] unversioned_packages = [] for package in packages: has_version = _has_version(package) unversioned = _chop_version(package) if has_version else package if unversioned in vendored_packages: fail("Duplicate package '{}'. Packages may not be listed in both 'packages' and 'vendored_packages'.".format(package)) if unversioned in _CORE_PACKAGES: core_packages.append(unversioned) elif has_version: versioned_packages.append(package) else: unversioned_packages.append(package) all_packages = _compute_dependency_graph(repository_ctx, snapshot, core_packages, versioned_packages, unversioned_packages, vendored_packages) extra_deps = _to_string_keyed_label_list_dict(repository_ctx.attr.extra_deps) tools = [_label_to_string(label) for label in repository_ctx.attr.tools] repository_ctx.file('packages.bzl', 'packages = ' + repr({package.name: struct(name=package.name, version=package.version, deps=[label('@{}//:{}'.format(repository_ctx.name, dep)) for dep in package.deps], flags=package.flags) for package in all_packages.values()}), executable=False) build_file_builder = [] build_file_builder.append('\nload("@rules_haskell//haskell:cabal.bzl", "haskell_cabal_library")\nload("@rules_haskell//haskell:defs.bzl", "haskell_library", "haskell_toolchain_library")\n') for package in all_packages.values(): if package.name in packages or package.versioned_name in packages or package.vendored != None: visibility = ['//visibility:public'] else: visibility = ['//visibility:private'] if package.vendored != None: build_file_builder.append('\nalias(name = "{name}", actual = "{actual}", visibility = {visibility})\n'.format(name=package.name, actual=package.vendored, visibility=visibility)) elif package.is_core_package: build_file_builder.append('\nhaskell_toolchain_library(name = "{name}", visibility = {visibility})\n'.format(name=package.name, visibility=visibility)) elif package.name in _EMPTY_PACKAGES_BLACKLIST: build_file_builder.append('\nhaskell_library(\n name = "{name}",\n version = "{version}",\n visibility = {visibility},\n)\n'.format(name=package.name, version=package.version, visibility=visibility)) else: build_file_builder.append('\nhaskell_cabal_library(\n name = "{name}",\n version = "{version}",\n flags = {flags},\n srcs = glob(["{dir}/**"]),\n deps = {deps},\n tools = {tools},\n visibility = {visibility},\n compiler_flags = ["-w", "-optF=-w"],\n)\n'.format(name=package.name, version=package.version, flags=package.flags, dir=package.sdist, deps=package.deps + [_label_to_string(label) for label in extra_deps.get(package.name, [])], tools=tools, visibility=visibility)) if package.versioned_name != None: build_file_builder.append('alias(name = "{name}", actual = ":{actual}", visibility = {visibility})'.format(name=package.versioned_name, actual=package.name, visibility=visibility)) build_file_content = '\n'.join(build_file_builder) repository_ctx.file('BUILD.bazel', build_file_content, executable=False) _stack_snapshot = repository_rule(_stack_snapshot_impl, attrs={'snapshot': attr.string(), 'local_snapshot': attr.label(allow_single_file=True), 'packages': attr.string_list(), 'vendored_packages': attr.label_keyed_string_dict(), 'flags': attr.string_list_dict(), 'extra_deps': attr.label_keyed_string_dict(), 'tools': attr.label_list(), 'stack': attr.label(), 'stack_update': attr.label()}) def _stack_update_impl(repository_ctx): stack_cmd = repository_ctx.path(repository_ctx.attr.stack) _execute_or_fail_loudly(repository_ctx, [stack_cmd, 'update']) repository_ctx.file('stack_update') repository_ctx.file('BUILD.bazel', content="exports_files(['stack_update'])") _stack_update = repository_rule(_stack_update_impl, attrs={'stack': attr.label()}, local=True) 'Execute stack update.\n\nThis is extracted into a singleton repository rule to avoid concurrent\ninvocations of stack update.\nSee https://github.com/tweag/rules_haskell/issues/1090\n' def _get_platform(repository_ctx): """Map OS name and architecture to Stack platform identifiers.""" os_name = repository_ctx.os.name.lower() if os_name.startswith('linux'): os = 'linux' elif os_name.startswith('mac os'): os = 'osx' elif os_name.find('freebsd') != -1: os = 'freebsd' elif os_name.find('windows') != -1: os = 'windows' else: fail("Unknown OS: '{}'".format(os_name)) if os == 'windows': reg_query = ['reg', 'QUERY', 'HKLM\\SYSTEM\\CurrentControlSet\\Control\\Session Manager\\Environment', '/v', 'PROCESSOR_ARCHITECTURE'] result = repository_ctx.execute(reg_query) value = result.stdout.strip().split(' ')[-1].lower() if value in ['amd64', 'ia64']: arch = 'x86_64' elif value in ['x86']: arch = 'i386' else: fail('Failed to determine CPU architecture:\n{}\n{}'.format(result.stdout, result.stderr)) else: result = repository_ctx.execute(['uname', '-m']) if result.stdout.strip() in ['arm', 'armv7l']: arch = 'arm' elif result.stdout.strip() in ['aarch64']: arch = 'aarch64' elif result.stdout.strip() in ['amd64', 'x86_64', 'x64']: arch = 'x86_64' elif result.stdout.strip() in ['i386', 'i486', 'i586', 'i686']: arch = 'i386' else: fail('Failed to determine CPU architecture:\n{}\n{}'.format(result.stdout, result.stderr)) return (os, arch) def _fetch_stack_impl(repository_ctx): repository_ctx.file('BUILD.bazel') stack_cmd = repository_ctx.which('stack') if stack_cmd: if _stack_version_check(repository_ctx, stack_cmd): repository_ctx.symlink(stack_cmd, 'stack') return else: print('Stack version not recent enough. Downloading a newer version...') (os, arch) = _get_platform(repository_ctx) version = _STACK_DEFAULT_VERSION (url, sha256) = _STACK_BINDISTS[version]['{}-{}'.format(os, arch)] repository_ctx.download_and_extract(url=url, sha256=sha256) stack_cmd = repository_ctx.path('stack-{}-{}-{}'.format(version, os, arch)).get_child('stack.exe' if os == 'windows' else 'stack') _execute_or_fail_loudly(repository_ctx, [stack_cmd, '--version']) exec_result = repository_ctx.execute([stack_cmd, '--version'], quiet=True) if exec_result.return_code != 0: error_messsage = ['A Stack binary for your platform exists, but it failed to execute.'] if os == 'linux': error_messsage.append('HINT: If you are on NixOS,') error_messsage.append('* make Stack available on the PATH, or') error_messsage.append('* specify a Stack binary using the stack attribute.') fail('\n'.join(error_messsage).format(exec_result.return_code)) repository_ctx.symlink(stack_cmd, 'stack') _fetch_stack = repository_rule(_fetch_stack_impl) 'Find a suitably recent local Stack or download it.' def stack_snapshot(stack=None, extra_deps={}, vendored_packages={}, **kwargs): """Use Stack to download and extract Cabal source distributions. Args: snapshot: The name of a Stackage snapshot. Incompatible with local_snapshot. local_snapshot: A custom Stack snapshot file, as per the Stack documentation. Incompatible with snapshot. packages: A set of package identifiers. For packages in the snapshot, version numbers can be omitted. vendored_packages: Add or override a package to the snapshot with a custom unpacked source distribution. Each package must contain a Cabal file named `<package-name>.cabal` in the package root. flags: A dict from package name to list of flags. extra_deps: Extra dependencies of packages, e.g. system libraries or C/C++ libraries. tools: Tool dependencies. They are built using the host configuration, since the tools are executed as part of the build. stack: The stack binary to use to enumerate package dependencies. Examples: ```bzl stack_snapshot( name = "stackage", packages = ["conduit", "lens", "zlib-0.6.2"], vendored_packages = {"split": "//split:split"}, tools = ["@happy//:happy", "@c2hs//:c2hs"], snapshot = "lts-13.15", extra_deps = {"zlib": ["@zlib.dev//:zlib"]}, ) ``` defines `@stackage//:conduit`, `@stackage//:lens`, `@stackage//:zlib` library targets. Alternatively ```bzl stack_snapshot( name = "stackage", packages = ["conduit", "lens", "zlib"], flags = {"zlib": ["-non-blocking-ffi"]}, tools = ["@happy//:happy", "@c2hs//:c2hs"], local_Snapshot = "//:snapshot.yaml", extra_deps = {"zlib": ["@zlib.dev//:zlib"]}, ``` Does the same as the previous example, provided there is a `snapshot.yaml`, at the root of the repository with content ```yaml resolver: lts-13.15 packages: - zlib-0.6.2 ``` This rule will use Stack to compute the transitive closure of the subset of the given snapshot listed in the `packages` attribute, and generate a dependency graph. If a package in the closure depends on system libraries or other external libraries, use the `extra_deps` attribute to list them. This attribute works like the `--extra-{include,lib}-dirs` flags for Stack and cabal-install do. Packages that are in the snapshot need not have their versions specified. But any additional packages or version overrides will have to be specified with a package identifier of the form `<package>-<version>` in the `packages` attribute. In the external repository defined by the rule, all given packages are available as top-level targets named after each package. Additionally, the dependency graph is made available within `packages.bzl` as the `dict` `packages` mapping unversioned package names to structs holding the fields - name: The unversioned package name. - version: The package version. - deps: The list of package dependencies according to stack. - flags: The list of Cabal flags. """ if not stack: _fetch_stack(name='rules_haskell_stack') stack = label('@rules_haskell_stack//:stack') maybe(_stack_update, name='rules_haskell_stack_update', stack=stack) _stack_snapshot(stack=stack, stack_update='@rules_haskell_stack_update//:stack_update', extra_deps=_from_string_keyed_label_list_dict(extra_deps), vendored_packages=_invert(vendored_packages), **kwargs) def _expand_make_variables(name, ctx, strings): extra_label_attrs = [ctx.attr.srcs, ctx.attr.tools] return expand_make_variables(name, ctx, strings, extra_label_attrs)
# # PySNMP MIB module A3COM-HUAWEI-LPBKDT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/A3COM-HUAWEI-LPBKDT-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 16:50:56 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) # h3cCommon, = mibBuilder.importSymbols("A3COM-HUAWEI-OID-MIB", "h3cCommon") OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint") ifIndex, ifDescr = mibBuilder.importSymbols("IF-MIB", "ifIndex", "ifDescr") VlanId, = mibBuilder.importSymbols("Q-BRIDGE-MIB", "VlanId") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Bits, ObjectIdentity, NotificationType, iso, ModuleIdentity, Integer32, Counter32, Counter64, TimeTicks, Unsigned32, IpAddress, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "ObjectIdentity", "NotificationType", "iso", "ModuleIdentity", "Integer32", "Counter32", "Counter64", "TimeTicks", "Unsigned32", "IpAddress", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") h3cLpbkdt = ModuleIdentity((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95)) h3cLpbkdt.setRevisions(('2009-03-30 17:41', '2008-09-27 15:04',)) if mibBuilder.loadTexts: h3cLpbkdt.setLastUpdated('200903301741Z') if mibBuilder.loadTexts: h3cLpbkdt.setOrganization('H3C Technologies Co., Ltd.') h3cLpbkdtNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1)) h3cLpbkdtObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 2)) h3cLpbkdtTrapPrefix = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0)) h3cLpbkdtTrapLoopbacked = NotificationType((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 1)).setObjects(("IF-MIB", "ifIndex"), ("IF-MIB", "ifDescr")) if mibBuilder.loadTexts: h3cLpbkdtTrapLoopbacked.setStatus('current') h3cLpbkdtTrapRecovered = NotificationType((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 2)).setObjects(("IF-MIB", "ifIndex"), ("IF-MIB", "ifDescr")) if mibBuilder.loadTexts: h3cLpbkdtTrapRecovered.setStatus('current') h3cLpbkdtTrapPerVlanLoopbacked = NotificationType((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 3)).setObjects(("IF-MIB", "ifIndex"), ("IF-MIB", "ifDescr"), ("A3COM-HUAWEI-LPBKDT-MIB", "h3cLpbkdtVlanID")) if mibBuilder.loadTexts: h3cLpbkdtTrapPerVlanLoopbacked.setStatus('current') h3cLpbkdtTrapPerVlanRecovered = NotificationType((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 4)).setObjects(("IF-MIB", "ifIndex"), ("IF-MIB", "ifDescr"), ("A3COM-HUAWEI-LPBKDT-MIB", "h3cLpbkdtVlanID")) if mibBuilder.loadTexts: h3cLpbkdtTrapPerVlanRecovered.setStatus('current') h3cLpbkdtVlanID = MibScalar((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 2, 1), VlanId()).setMaxAccess("accessiblefornotify") if mibBuilder.loadTexts: h3cLpbkdtVlanID.setStatus('current') mibBuilder.exportSymbols("A3COM-HUAWEI-LPBKDT-MIB", PYSNMP_MODULE_ID=h3cLpbkdt, h3cLpbkdtTrapRecovered=h3cLpbkdtTrapRecovered, h3cLpbkdtTrapPerVlanLoopbacked=h3cLpbkdtTrapPerVlanLoopbacked, h3cLpbkdt=h3cLpbkdt, h3cLpbkdtNotifications=h3cLpbkdtNotifications, h3cLpbkdtTrapPrefix=h3cLpbkdtTrapPrefix, h3cLpbkdtTrapPerVlanRecovered=h3cLpbkdtTrapPerVlanRecovered, h3cLpbkdtObjects=h3cLpbkdtObjects, h3cLpbkdtTrapLoopbacked=h3cLpbkdtTrapLoopbacked, h3cLpbkdtVlanID=h3cLpbkdtVlanID)
(h3c_common,) = mibBuilder.importSymbols('A3COM-HUAWEI-OID-MIB', 'h3cCommon') (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_intersection, value_size_constraint, constraints_union, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint') (if_index, if_descr) = mibBuilder.importSymbols('IF-MIB', 'ifIndex', 'ifDescr') (vlan_id,) = mibBuilder.importSymbols('Q-BRIDGE-MIB', 'VlanId') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (bits, object_identity, notification_type, iso, module_identity, integer32, counter32, counter64, time_ticks, unsigned32, ip_address, gauge32, mib_scalar, mib_table, mib_table_row, mib_table_column, mib_identifier) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'ObjectIdentity', 'NotificationType', 'iso', 'ModuleIdentity', 'Integer32', 'Counter32', 'Counter64', 'TimeTicks', 'Unsigned32', 'IpAddress', 'Gauge32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'MibIdentifier') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') h3c_lpbkdt = module_identity((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95)) h3cLpbkdt.setRevisions(('2009-03-30 17:41', '2008-09-27 15:04')) if mibBuilder.loadTexts: h3cLpbkdt.setLastUpdated('200903301741Z') if mibBuilder.loadTexts: h3cLpbkdt.setOrganization('H3C Technologies Co., Ltd.') h3c_lpbkdt_notifications = mib_identifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1)) h3c_lpbkdt_objects = mib_identifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 2)) h3c_lpbkdt_trap_prefix = mib_identifier((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0)) h3c_lpbkdt_trap_loopbacked = notification_type((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 1)).setObjects(('IF-MIB', 'ifIndex'), ('IF-MIB', 'ifDescr')) if mibBuilder.loadTexts: h3cLpbkdtTrapLoopbacked.setStatus('current') h3c_lpbkdt_trap_recovered = notification_type((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 2)).setObjects(('IF-MIB', 'ifIndex'), ('IF-MIB', 'ifDescr')) if mibBuilder.loadTexts: h3cLpbkdtTrapRecovered.setStatus('current') h3c_lpbkdt_trap_per_vlan_loopbacked = notification_type((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 3)).setObjects(('IF-MIB', 'ifIndex'), ('IF-MIB', 'ifDescr'), ('A3COM-HUAWEI-LPBKDT-MIB', 'h3cLpbkdtVlanID')) if mibBuilder.loadTexts: h3cLpbkdtTrapPerVlanLoopbacked.setStatus('current') h3c_lpbkdt_trap_per_vlan_recovered = notification_type((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 1, 0, 4)).setObjects(('IF-MIB', 'ifIndex'), ('IF-MIB', 'ifDescr'), ('A3COM-HUAWEI-LPBKDT-MIB', 'h3cLpbkdtVlanID')) if mibBuilder.loadTexts: h3cLpbkdtTrapPerVlanRecovered.setStatus('current') h3c_lpbkdt_vlan_id = mib_scalar((1, 3, 6, 1, 4, 1, 43, 45, 1, 10, 2, 95, 2, 1), vlan_id()).setMaxAccess('accessiblefornotify') if mibBuilder.loadTexts: h3cLpbkdtVlanID.setStatus('current') mibBuilder.exportSymbols('A3COM-HUAWEI-LPBKDT-MIB', PYSNMP_MODULE_ID=h3cLpbkdt, h3cLpbkdtTrapRecovered=h3cLpbkdtTrapRecovered, h3cLpbkdtTrapPerVlanLoopbacked=h3cLpbkdtTrapPerVlanLoopbacked, h3cLpbkdt=h3cLpbkdt, h3cLpbkdtNotifications=h3cLpbkdtNotifications, h3cLpbkdtTrapPrefix=h3cLpbkdtTrapPrefix, h3cLpbkdtTrapPerVlanRecovered=h3cLpbkdtTrapPerVlanRecovered, h3cLpbkdtObjects=h3cLpbkdtObjects, h3cLpbkdtTrapLoopbacked=h3cLpbkdtTrapLoopbacked, h3cLpbkdtVlanID=h3cLpbkdtVlanID)
"""TODO: package docstring.""" def hello(): """Say hello.""" print("Hello world!")
"""TODO: package docstring.""" def hello(): """Say hello.""" print('Hello world!')
__title__ = 'https' __author__ = 'Gloryness' __license__ = 'MIT License'
__title__ = 'https' __author__ = 'Gloryness' __license__ = 'MIT License'
class BoundedQueue: # Constructor, which creates a new empty queue: def __init__(self, capacity): assert isinstance(capacity, int), ('Error: Type error: %s' % (type(capacity))) assert capacity >= 0, ('Error: Illegal capacity: %d' % (capacity)) self.__items = [] self.__capacity = capacity # Adds a new item to the back of the queue, and returns nothing: def enqueue(self, item): if len(self.__items) >= self.__capacity: raise Exception('Error: Queue is full') self.__items.append(item) # Removes and returns the front-most item in the queue. # Returns nothing if the queue is empty. def dequeue(self): if len(self.__items) <= 0: raise Exception('Error: Queue is empty') return self.__items.pop(0) # Returns the front-most item in the queue, and DOES NOT change the queue. def peek(self): if len(self.__items) <= 0: raise Exception('Error: Queue is empty') return self.__items[0] # Returns True if the queue is empty, and False otherwise: def isEmpty(self): return len(self.__items) == 0 # Returns True if the queue is full, and False otherwise: def isFull(self): return len(self.__items) == self.__capacity # Returns the number of items in the queue: def size(self): return len(self.__items) # Returns the capacity of the queue: def capacity(self): return self.__capacity # Removes all items from the queue, and sets the size to 0 # clear() should not change the capacity def clear(self): self.__items = [] # Returns a string representation of the queue: def __str__(self): str_exp = "" for item in self.__items: str_exp += (str(item) + " ") return str_exp # Returns a string representation of the object # bounded queue: def __repr__(self): return str(self) + " Max=" + str(self.__capacity) def show(self): return self._items
class Boundedqueue: def __init__(self, capacity): assert isinstance(capacity, int), 'Error: Type error: %s' % type(capacity) assert capacity >= 0, 'Error: Illegal capacity: %d' % capacity self.__items = [] self.__capacity = capacity def enqueue(self, item): if len(self.__items) >= self.__capacity: raise exception('Error: Queue is full') self.__items.append(item) def dequeue(self): if len(self.__items) <= 0: raise exception('Error: Queue is empty') return self.__items.pop(0) def peek(self): if len(self.__items) <= 0: raise exception('Error: Queue is empty') return self.__items[0] def is_empty(self): return len(self.__items) == 0 def is_full(self): return len(self.__items) == self.__capacity def size(self): return len(self.__items) def capacity(self): return self.__capacity def clear(self): self.__items = [] def __str__(self): str_exp = '' for item in self.__items: str_exp += str(item) + ' ' return str_exp def __repr__(self): return str(self) + ' Max=' + str(self.__capacity) def show(self): return self._items
def answer(question): words = question \ .rstrip("?") \ .replace("plus", "+") \ .replace("minus", "-") \ .replace("multiplied by", '*') \ .replace("divided by", "/") \ .replace("raised to the", "^") \ .split() for i in range(len(words) - 2): if words[i] == "^" and words[i + 2] == "power": words[i + 2] = "" if (words[i + 1][:1].isdigit() and (words[i + 1].endswith("1st") or words[i + 1].endswith("2nd") or words[i + 1].endswith("th"))): words[i + 1] = words[i + 1][:-2] result = None operator = None for word in words[2:]: if word == "": continue elif result is None and operator is None and isinteger(word): result = int(word) elif result is not None and operator is not None and isinteger(word): if operator == "+": result += int(word) elif operator == "-": result -= int(word) elif operator == "*": result *= int(word) elif operator == "/": result //= int(word) elif operator == "^": result **= int(word) operator = None elif result is not None and operator is None and word in list("+-*/^"): operator = word else: raise ValueError(r".+") if words[:2] != ["What", "is"] or result is None or operator is not None: raise ValueError(r".+") return result def isinteger(number): return number.isdigit() or (number[1:].isdigit() and number[0] == "-")
def answer(question): words = question.rstrip('?').replace('plus', '+').replace('minus', '-').replace('multiplied by', '*').replace('divided by', '/').replace('raised to the', '^').split() for i in range(len(words) - 2): if words[i] == '^' and words[i + 2] == 'power': words[i + 2] = '' if words[i + 1][:1].isdigit() and (words[i + 1].endswith('1st') or words[i + 1].endswith('2nd') or words[i + 1].endswith('th')): words[i + 1] = words[i + 1][:-2] result = None operator = None for word in words[2:]: if word == '': continue elif result is None and operator is None and isinteger(word): result = int(word) elif result is not None and operator is not None and isinteger(word): if operator == '+': result += int(word) elif operator == '-': result -= int(word) elif operator == '*': result *= int(word) elif operator == '/': result //= int(word) elif operator == '^': result **= int(word) operator = None elif result is not None and operator is None and (word in list('+-*/^')): operator = word else: raise value_error('.+') if words[:2] != ['What', 'is'] or result is None or operator is not None: raise value_error('.+') return result def isinteger(number): return number.isdigit() or (number[1:].isdigit() and number[0] == '-')
def sorted_nosize_search(listy, num): # Adapted to work with a Python sorted # array and handle the index error exception exp_backoff = index = 0 limit = False while not limit: try: temp = listy[index] if temp > num: limit = True else: index = 2 ** exp_backoff exp_backoff += 1 except IndexError: limit = True return bi_search(listy, num, index // 2, index) def bi_search(listy, num, low, high): while low <= high: middle = (high + low) // 2 try: value_at = listy[middle] except IndexError: value_at = -1 if num < value_at or value_at == -1: high = middle - 1 elif num > value_at: low = middle + 1 else: return middle return -1 test_cases = [ (([1, 2, 3, 4, 5, 6, 7, 8, 9], 0), -1), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 1), 0), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 2), 1), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 3), 2), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 4), 3), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 5), 4), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 6), 5), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 7), 6), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 8), 7), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), 8), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 10), -1), ] testable_functions = [sorted_nosize_search] def run_tests(): for function in testable_functions: for (n, m), expected in test_cases: calculated = function(n, m) error_msg = f"{function.__name__}: {calculated} != {expected}" assert function(n, m) == expected, error_msg if __name__ == "__main__": run_tests()
def sorted_nosize_search(listy, num): exp_backoff = index = 0 limit = False while not limit: try: temp = listy[index] if temp > num: limit = True else: index = 2 ** exp_backoff exp_backoff += 1 except IndexError: limit = True return bi_search(listy, num, index // 2, index) def bi_search(listy, num, low, high): while low <= high: middle = (high + low) // 2 try: value_at = listy[middle] except IndexError: value_at = -1 if num < value_at or value_at == -1: high = middle - 1 elif num > value_at: low = middle + 1 else: return middle return -1 test_cases = [(([1, 2, 3, 4, 5, 6, 7, 8, 9], 0), -1), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 1), 0), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 2), 1), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 3), 2), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 4), 3), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 5), 4), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 6), 5), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 7), 6), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 8), 7), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 9), 8), (([1, 2, 3, 4, 5, 6, 7, 8, 9], 10), -1)] testable_functions = [sorted_nosize_search] def run_tests(): for function in testable_functions: for ((n, m), expected) in test_cases: calculated = function(n, m) error_msg = f'{function.__name__}: {calculated} != {expected}' assert function(n, m) == expected, error_msg if __name__ == '__main__': run_tests()
# -*- coding: utf-8 -*- """ Package of optimizers. """
""" Package of optimizers. """
class Solution: def singleNumber(self, nums: List[int]) -> int: counts = {} for num in nums: if num in counts: counts[num] += 1 else: counts[num] = 1 if counts[num] == 3: counts.pop(num) return list(counts.keys())[0]
class Solution: def single_number(self, nums: List[int]) -> int: counts = {} for num in nums: if num in counts: counts[num] += 1 else: counts[num] = 1 if counts[num] == 3: counts.pop(num) return list(counts.keys())[0]
# # PySNMP MIB module CXIoHardware-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CXIoHardware-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 18:17:22 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) # OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, SingleValueConstraint, ValueRangeConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "ConstraintsUnion") cxIoHardware, Alias = mibBuilder.importSymbols("CXProduct-SMI", "cxIoHardware", "Alias") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") NotificationType, Gauge32, MibIdentifier, ObjectIdentity, Unsigned32, Bits, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, iso, Counter64, NotificationType, Integer32, Counter32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "Gauge32", "MibIdentifier", "ObjectIdentity", "Unsigned32", "Bits", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "iso", "Counter64", "NotificationType", "Integer32", "Counter32", "IpAddress") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") cxIoCardAdmTable = MibTable((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1), ) if mibBuilder.loadTexts: cxIoCardAdmTable.setStatus('mandatory') cxIoCardAdmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1), ).setIndexNames((0, "CXIoHardware-MIB", "cxIoCardAdmIndex")) if mibBuilder.loadTexts: cxIoCardAdmEntry.setStatus('mandatory') cxIoCardAdmIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardAdmIndex.setStatus('mandatory') cxIoCardAdmRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("invalid", 1), ("valid", 2), ("disabled", 3))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoCardAdmRowStatus.setStatus('mandatory') cxIoCardAdmAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 3), Alias()).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoCardAdmAlias.setStatus('mandatory') cxIoCardAdmPhysSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoCardAdmPhysSlot.setStatus('mandatory') cxIoCardAdmType = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("iuscFourPortCard", 1), ("lanCard", 2), ("vceCmpCard", 3), ("tokenRingCard", 4), ("ethernetCard", 5), ("isdnCard", 6), ("digitalVceCmpCard", 7), ("highSpeedFr4LIDCard", 8), ("octalV34ModemCard", 9)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoCardAdmType.setStatus('mandatory') cxIoCardAdmState = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("invalid", 1), ("valid", 2))).clone('valid')).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardAdmState.setStatus('mandatory') cxIoPortAdmTable = MibTable((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2), ) if mibBuilder.loadTexts: cxIoPortAdmTable.setStatus('mandatory') cxIoPortAdmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1), ).setIndexNames((0, "CXIoHardware-MIB", "cxIoPortAdmIndex")) if mibBuilder.loadTexts: cxIoPortAdmEntry.setStatus('mandatory') cxIoPortAdmIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoPortAdmIndex.setStatus('mandatory') cxIoPortAdmRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("invalid", 1), ("valid", 2), ("disabled", 3))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoPortAdmRowStatus.setStatus('mandatory') cxIoPortAdmAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 3), Alias()).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoPortAdmAlias.setStatus('mandatory') cxIoPortAdmCardAlias = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 4), Alias()).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoPortAdmCardAlias.setStatus('mandatory') cxIoPortAdmCardLocalIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoPortAdmCardLocalIndex.setStatus('mandatory') cxIoCardOperTable = MibTable((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3), ) if mibBuilder.loadTexts: cxIoCardOperTable.setStatus('mandatory') cxIoCardOperEntry = MibTableRow((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1), ).setIndexNames((0, "CXIoHardware-MIB", "cxIoCardOperPhysSlot")) if mibBuilder.loadTexts: cxIoCardOperEntry.setStatus('mandatory') cxIoCardOperPhysSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperPhysSlot.setStatus('mandatory') cxIoCardOperState = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("invalid", 1), ("valid", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperState.setStatus('mandatory') cxIoCardOperType = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 255))).clone(namedValues=NamedValues(("iuscFourPortCard", 1), ("lanCard", 2), ("vceCmpCard", 3), ("tokenRingCard", 4), ("ethernetCard", 5), ("isdnCard", 6), ("digitalVceCmpCard", 7), ("highSpeedFr4LIDCard", 8), ("octalV34ModemCard", 9), ("other", 255)))).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperType.setStatus('mandatory') cxIoCardOperRevision = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperRevision.setStatus('mandatory') cxIoCardOperAssemblyAndEco = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperAssemblyAndEco.setStatus('mandatory') cxIoCardOperSpecialEco = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIoCardOperSpecialEco.setStatus('mandatory') cxIoHwCardTypeTrapReport = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: cxIoHwCardTypeTrapReport.setStatus('mandatory') cxIHMibLevel = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cxIHMibLevel.setStatus('mandatory') cxIoHwCardTypeTrap = NotificationType((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2) + (0,1)).setObjects(("CXIoHardware-MIB", "cxIoCardOperPhysSlot"), ("CXIoHardware-MIB", "cxIoCardOperState"), ("CXIoHardware-MIB", "cxIoCardOperType")) mibBuilder.exportSymbols("CXIoHardware-MIB", cxIoCardOperPhysSlot=cxIoCardOperPhysSlot, cxIoHwCardTypeTrapReport=cxIoHwCardTypeTrapReport, cxIoPortAdmAlias=cxIoPortAdmAlias, cxIoCardAdmPhysSlot=cxIoCardAdmPhysSlot, cxIoCardAdmEntry=cxIoCardAdmEntry, cxIoPortAdmTable=cxIoPortAdmTable, cxIoPortAdmCardAlias=cxIoPortAdmCardAlias, cxIoCardOperAssemblyAndEco=cxIoCardOperAssemblyAndEco, cxIoCardAdmAlias=cxIoCardAdmAlias, cxIoCardOperSpecialEco=cxIoCardOperSpecialEco, cxIHMibLevel=cxIHMibLevel, cxIoCardOperEntry=cxIoCardOperEntry, cxIoPortAdmIndex=cxIoPortAdmIndex, cxIoCardAdmIndex=cxIoCardAdmIndex, cxIoCardOperType=cxIoCardOperType, cxIoCardAdmType=cxIoCardAdmType, cxIoCardAdmState=cxIoCardAdmState, cxIoCardOperState=cxIoCardOperState, cxIoCardOperRevision=cxIoCardOperRevision, cxIoCardAdmTable=cxIoCardAdmTable, cxIoPortAdmEntry=cxIoPortAdmEntry, cxIoHwCardTypeTrap=cxIoHwCardTypeTrap, cxIoCardOperTable=cxIoCardOperTable, cxIoCardAdmRowStatus=cxIoCardAdmRowStatus, cxIoPortAdmRowStatus=cxIoPortAdmRowStatus, cxIoPortAdmCardLocalIndex=cxIoPortAdmCardLocalIndex)
(octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, single_value_constraint, value_range_constraint, constraints_intersection, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'SingleValueConstraint', 'ValueRangeConstraint', 'ConstraintsIntersection', 'ConstraintsUnion') (cx_io_hardware, alias) = mibBuilder.importSymbols('CXProduct-SMI', 'cxIoHardware', 'Alias') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (notification_type, gauge32, mib_identifier, object_identity, unsigned32, bits, time_ticks, mib_scalar, mib_table, mib_table_row, mib_table_column, module_identity, iso, counter64, notification_type, integer32, counter32, ip_address) = mibBuilder.importSymbols('SNMPv2-SMI', 'NotificationType', 'Gauge32', 'MibIdentifier', 'ObjectIdentity', 'Unsigned32', 'Bits', 'TimeTicks', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ModuleIdentity', 'iso', 'Counter64', 'NotificationType', 'Integer32', 'Counter32', 'IpAddress') (display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention') cx_io_card_adm_table = mib_table((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1)) if mibBuilder.loadTexts: cxIoCardAdmTable.setStatus('mandatory') cx_io_card_adm_entry = mib_table_row((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1)).setIndexNames((0, 'CXIoHardware-MIB', 'cxIoCardAdmIndex')) if mibBuilder.loadTexts: cxIoCardAdmEntry.setStatus('mandatory') cx_io_card_adm_index = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardAdmIndex.setStatus('mandatory') cx_io_card_adm_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('invalid', 1), ('valid', 2), ('disabled', 3))).clone('disabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoCardAdmRowStatus.setStatus('mandatory') cx_io_card_adm_alias = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 3), alias()).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoCardAdmAlias.setStatus('mandatory') cx_io_card_adm_phys_slot = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoCardAdmPhysSlot.setStatus('mandatory') cx_io_card_adm_type = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=named_values(('iuscFourPortCard', 1), ('lanCard', 2), ('vceCmpCard', 3), ('tokenRingCard', 4), ('ethernetCard', 5), ('isdnCard', 6), ('digitalVceCmpCard', 7), ('highSpeedFr4LIDCard', 8), ('octalV34ModemCard', 9)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoCardAdmType.setStatus('mandatory') cx_io_card_adm_state = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('invalid', 1), ('valid', 2))).clone('valid')).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardAdmState.setStatus('mandatory') cx_io_port_adm_table = mib_table((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2)) if mibBuilder.loadTexts: cxIoPortAdmTable.setStatus('mandatory') cx_io_port_adm_entry = mib_table_row((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1)).setIndexNames((0, 'CXIoHardware-MIB', 'cxIoPortAdmIndex')) if mibBuilder.loadTexts: cxIoPortAdmEntry.setStatus('mandatory') cx_io_port_adm_index = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoPortAdmIndex.setStatus('mandatory') cx_io_port_adm_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('invalid', 1), ('valid', 2), ('disabled', 3))).clone('disabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoPortAdmRowStatus.setStatus('mandatory') cx_io_port_adm_alias = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 3), alias()).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoPortAdmAlias.setStatus('mandatory') cx_io_port_adm_card_alias = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 4), alias()).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoPortAdmCardAlias.setStatus('mandatory') cx_io_port_adm_card_local_index = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 2, 1, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoPortAdmCardLocalIndex.setStatus('mandatory') cx_io_card_oper_table = mib_table((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3)) if mibBuilder.loadTexts: cxIoCardOperTable.setStatus('mandatory') cx_io_card_oper_entry = mib_table_row((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1)).setIndexNames((0, 'CXIoHardware-MIB', 'cxIoCardOperPhysSlot')) if mibBuilder.loadTexts: cxIoCardOperEntry.setStatus('mandatory') cx_io_card_oper_phys_slot = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 1), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperPhysSlot.setStatus('mandatory') cx_io_card_oper_state = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('invalid', 1), ('valid', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperState.setStatus('mandatory') cx_io_card_oper_type = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 255))).clone(namedValues=named_values(('iuscFourPortCard', 1), ('lanCard', 2), ('vceCmpCard', 3), ('tokenRingCard', 4), ('ethernetCard', 5), ('isdnCard', 6), ('digitalVceCmpCard', 7), ('highSpeedFr4LIDCard', 8), ('octalV34ModemCard', 9), ('other', 255)))).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperType.setStatus('mandatory') cx_io_card_oper_revision = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperRevision.setStatus('mandatory') cx_io_card_oper_assembly_and_eco = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 5), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperAssemblyAndEco.setStatus('mandatory') cx_io_card_oper_special_eco = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 3, 1, 6), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIoCardOperSpecialEco.setStatus('mandatory') cx_io_hw_card_type_trap_report = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2))).clone('disabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: cxIoHwCardTypeTrapReport.setStatus('mandatory') cx_ih_mib_level = mib_scalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2, 5), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: cxIHMibLevel.setStatus('mandatory') cx_io_hw_card_type_trap = notification_type((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 2) + (0, 1)).setObjects(('CXIoHardware-MIB', 'cxIoCardOperPhysSlot'), ('CXIoHardware-MIB', 'cxIoCardOperState'), ('CXIoHardware-MIB', 'cxIoCardOperType')) mibBuilder.exportSymbols('CXIoHardware-MIB', cxIoCardOperPhysSlot=cxIoCardOperPhysSlot, cxIoHwCardTypeTrapReport=cxIoHwCardTypeTrapReport, cxIoPortAdmAlias=cxIoPortAdmAlias, cxIoCardAdmPhysSlot=cxIoCardAdmPhysSlot, cxIoCardAdmEntry=cxIoCardAdmEntry, cxIoPortAdmTable=cxIoPortAdmTable, cxIoPortAdmCardAlias=cxIoPortAdmCardAlias, cxIoCardOperAssemblyAndEco=cxIoCardOperAssemblyAndEco, cxIoCardAdmAlias=cxIoCardAdmAlias, cxIoCardOperSpecialEco=cxIoCardOperSpecialEco, cxIHMibLevel=cxIHMibLevel, cxIoCardOperEntry=cxIoCardOperEntry, cxIoPortAdmIndex=cxIoPortAdmIndex, cxIoCardAdmIndex=cxIoCardAdmIndex, cxIoCardOperType=cxIoCardOperType, cxIoCardAdmType=cxIoCardAdmType, cxIoCardAdmState=cxIoCardAdmState, cxIoCardOperState=cxIoCardOperState, cxIoCardOperRevision=cxIoCardOperRevision, cxIoCardAdmTable=cxIoCardAdmTable, cxIoPortAdmEntry=cxIoPortAdmEntry, cxIoHwCardTypeTrap=cxIoHwCardTypeTrap, cxIoCardOperTable=cxIoCardOperTable, cxIoCardAdmRowStatus=cxIoCardAdmRowStatus, cxIoPortAdmRowStatus=cxIoPortAdmRowStatus, cxIoPortAdmCardLocalIndex=cxIoPortAdmCardLocalIndex)
# -*- coding: utf-8 -*- # ISO 693-1 language codes from pycountry Iso2Language = { u'aa': u'Afar', u'ab': u'Abkhazian', u'af': u'Afrikaans', u'ak': u'Akan', u'sq': u'Albanian', u'am': u'Amharic', u'ar': u'Arabic', u'an': u'Aragonese', u'hy': u'Armenian', u'as': u'Assamese', u'av': u'Avaric', u'ae': u'Avestan', u'ay': u'Aymara', u'az': u'Azerbaijani', u'ba': u'Bashkir', u'bm': u'Bambara', u'eu': u'Basque', u'be': u'Belarusian', u'bn': u'Bengali', u'bh': u'Bihari languages', u'bi': u'Bislama', u'bs': u'Bosnian', u'br': u'Breton', u'bg': u'Bulgarian', u'my': u'Burmese', u'ca': u'Catalan; Valencian', u'ch': u'Chamorro', u'ce': u'Chechen', u'zh': u'Chinese', u'cu': u'Church Slavic; Old Slavonic; Church Slavonic; Old Bulgarian; Old Church Slavonic', u'cv': u'Chuvash', u'kw': u'Cornish', u'co': u'Corsican', u'cr': u'Cree', u'cs': u'Czech', u'da': u'Danish', u'dv': u'Divehi; Dhivehi; Maldivian', u'nl': u'Dutch; Flemish', u'dz': u'Dzongkha', u'en': u'English', u'eo': u'Esperanto', u'et': u'Estonian', u'ee': u'Ewe', u'fo': u'Faroese', u'fj': u'Fijian', u'fi': u'Finnish', u'fr': u'French', u'fy': u'Western Frisian', u'ff': u'Fulah', u'ka': u'Georgian', u'de': u'German', u'gd': u'Gaelic; Scottish Gaelic', u'ga': u'Irish', u'gl': u'Galician', u'gv': u'Manx', u'el': u'Greek, Modern (1453-)', u'gn': u'Guarani', u'gu': u'Gujarati', u'ht': u'Haitian; Haitian Creole', u'ha': u'Hausa', u'he': u'Hebrew', u'hz': u'Herero', u'hi': u'Hindi', u'ho': u'Hiri Motu', u'hr': u'Croatian', u'hu': u'Hungarian', u'ig': u'Igbo', u'is': u'Icelandic', u'io': u'Ido', u'ii': u'Sichuan Yi; Nuosu', u'iu': u'Inuktitut', u'ie': u'Interlingue; Occidental', u'ia': u'Interlingua (International Auxiliary Language Association)', u'id': u'Indonesian', u'ik': u'Inupiaq', u'it': u'Italian', u'jv': u'Javanese', u'ja': u'Japanese', u'kl': u'Kalaallisut; Greenlandic', u'kn': u'Kannada', u'ks': u'Kashmiri', u'kr': u'Kanuri', u'kk': u'Kazakh', u'km': u'Central Khmer', u'ki': u'Kikuyu; Gikuyu', u'rw': u'Kinyarwanda', u'ky': u'Kirghiz; Kyrgyz', u'kv': u'Komi', u'kg': u'Kongo', u'ko': u'Korean', u'kj': u'Kuanyama; Kwanyama', u'ku': u'Kurdish', u'lo': u'Lao', u'la': u'Latin', u'lv': u'Latvian', u'li': u'Limburgan; Limburger; Limburgish', u'ln': u'Lingala', u'lt': u'Lithuanian', u'lb': u'Luxembourgish; Letzeburgesch', u'lu': u'Luba-Katanga', u'lg': u'Ganda', u'mk': u'Macedonian', u'mh': u'Marshallese', u'ml': u'Malayalam', u'mi': u'Maori', u'mr': u'Marathi', u'ms': u'Malay', u'mg': u'Malagasy', u'mt': u'Maltese', u'mo': u'Moldavian; Moldovan', u'mn': u'Mongolian', u'na': u'Nauru', u'nv': u'Navajo; Navaho', u'nr': u'Ndebele, South; South Ndebele', u'nd': u'Ndebele, North; North Ndebele', u'ng': u'Ndonga', u'ne': u'Nepali', u'nn': u'Norwegian Nynorsk; Nynorsk, Norwegian', u'nb': u'Bokm\xe5l, Norwegian; Norwegian Bokm\xe5l', u'no': u'Norwegian', u'ny': u'Chichewa; Chewa; Nyanja', u'oc': u'Occitan (post 1500)', u'oj': u'Ojibwa', u'or': u'Oriya', u'om': u'Oromo', u'os': u'Ossetian; Ossetic', u'pa': u'Panjabi; Punjabi', u'fa': u'Persian', u'pi': u'Pali', u'pl': u'Polish', u'pt': u'Portuguese', u'ps': u'Pushto; Pashto', u'qu': u'Quechua', u'rm': u'Romansh', u'ro': u'Romanian', u'rn': u'Rundi', u'ru': u'Russian', u'sg': u'Sango', u'sa': u'Sanskrit', u'si': u'Sinhala; Sinhalese', u'sk': u'Slovak', u'sl': u'Slovenian', u'se': u'Northern Sami', u'sm': u'Samoan', u'sn': u'Shona', u'sd': u'Sindhi', u'so': u'Somali', u'st': u'Sotho, Southern', u'es': u'Spanish; Castilian', u'sc': u'Sardinian', u'sr': u'Serbian', u'ss': u'Swati', u'su': u'Sundanese', u'sw': u'Swahili', u'sv': u'Swedish', u'ty': u'Tahitian', u'ta': u'Tamil', u'tt': u'Tatar', u'te': u'Telugu', u'tg': u'Tajik', u'tl': u'Tagalog', u'th': u'Thai', u'bo': u'Tibetan', u'ti': u'Tigrinya', u'to': u'Tonga (Tonga Islands)', u'tn': u'Tswana', u'ts': u'Tsonga', u'tk': u'Turkmen', u'tr': u'Turkish', u'tw': u'Twi', u'ug': u'Uighur; Uyghur', u'uk': u'Ukrainian', u'ur': u'Urdu', u'uz': u'Uzbek', u've': u'Venda', u'vi': u'Vietnamese', u'vo': u'Volap\xfck', u'cy': u'Welsh', u'wa': u'Walloon', u'wo': u'Wolof', u'xh': u'Xhosa', u'yi': u'Yiddish', u'yo': u'Yoruba', u'za': u'Zhuang; Chuang', u'zu': u'Zulu', }
iso2_language = {u'aa': u'Afar', u'ab': u'Abkhazian', u'af': u'Afrikaans', u'ak': u'Akan', u'sq': u'Albanian', u'am': u'Amharic', u'ar': u'Arabic', u'an': u'Aragonese', u'hy': u'Armenian', u'as': u'Assamese', u'av': u'Avaric', u'ae': u'Avestan', u'ay': u'Aymara', u'az': u'Azerbaijani', u'ba': u'Bashkir', u'bm': u'Bambara', u'eu': u'Basque', u'be': u'Belarusian', u'bn': u'Bengali', u'bh': u'Bihari languages', u'bi': u'Bislama', u'bs': u'Bosnian', u'br': u'Breton', u'bg': u'Bulgarian', u'my': u'Burmese', u'ca': u'Catalan; Valencian', u'ch': u'Chamorro', u'ce': u'Chechen', u'zh': u'Chinese', u'cu': u'Church Slavic; Old Slavonic; Church Slavonic; Old Bulgarian; Old Church Slavonic', u'cv': u'Chuvash', u'kw': u'Cornish', u'co': u'Corsican', u'cr': u'Cree', u'cs': u'Czech', u'da': u'Danish', u'dv': u'Divehi; Dhivehi; Maldivian', u'nl': u'Dutch; Flemish', u'dz': u'Dzongkha', u'en': u'English', u'eo': u'Esperanto', u'et': u'Estonian', u'ee': u'Ewe', u'fo': u'Faroese', u'fj': u'Fijian', u'fi': u'Finnish', u'fr': u'French', u'fy': u'Western Frisian', u'ff': u'Fulah', u'ka': u'Georgian', u'de': u'German', u'gd': u'Gaelic; Scottish Gaelic', u'ga': u'Irish', u'gl': u'Galician', u'gv': u'Manx', u'el': u'Greek, Modern (1453-)', u'gn': u'Guarani', u'gu': u'Gujarati', u'ht': u'Haitian; Haitian Creole', u'ha': u'Hausa', u'he': u'Hebrew', u'hz': u'Herero', u'hi': u'Hindi', u'ho': u'Hiri Motu', u'hr': u'Croatian', u'hu': u'Hungarian', u'ig': u'Igbo', u'is': u'Icelandic', u'io': u'Ido', u'ii': u'Sichuan Yi; Nuosu', u'iu': u'Inuktitut', u'ie': u'Interlingue; Occidental', u'ia': u'Interlingua (International Auxiliary Language Association)', u'id': u'Indonesian', u'ik': u'Inupiaq', u'it': u'Italian', u'jv': u'Javanese', u'ja': u'Japanese', u'kl': u'Kalaallisut; Greenlandic', u'kn': u'Kannada', u'ks': u'Kashmiri', u'kr': u'Kanuri', u'kk': u'Kazakh', u'km': u'Central Khmer', u'ki': u'Kikuyu; Gikuyu', u'rw': u'Kinyarwanda', u'ky': u'Kirghiz; Kyrgyz', u'kv': u'Komi', u'kg': u'Kongo', u'ko': u'Korean', u'kj': u'Kuanyama; Kwanyama', u'ku': u'Kurdish', u'lo': u'Lao', u'la': u'Latin', u'lv': u'Latvian', u'li': u'Limburgan; Limburger; Limburgish', u'ln': u'Lingala', u'lt': u'Lithuanian', u'lb': u'Luxembourgish; Letzeburgesch', u'lu': u'Luba-Katanga', u'lg': u'Ganda', u'mk': u'Macedonian', u'mh': u'Marshallese', u'ml': u'Malayalam', u'mi': u'Maori', u'mr': u'Marathi', u'ms': u'Malay', u'mg': u'Malagasy', u'mt': u'Maltese', u'mo': u'Moldavian; Moldovan', u'mn': u'Mongolian', u'na': u'Nauru', u'nv': u'Navajo; Navaho', u'nr': u'Ndebele, South; South Ndebele', u'nd': u'Ndebele, North; North Ndebele', u'ng': u'Ndonga', u'ne': u'Nepali', u'nn': u'Norwegian Nynorsk; Nynorsk, Norwegian', u'nb': u'Bokmål, Norwegian; Norwegian Bokmål', u'no': u'Norwegian', u'ny': u'Chichewa; Chewa; Nyanja', u'oc': u'Occitan (post 1500)', u'oj': u'Ojibwa', u'or': u'Oriya', u'om': u'Oromo', u'os': u'Ossetian; Ossetic', u'pa': u'Panjabi; Punjabi', u'fa': u'Persian', u'pi': u'Pali', u'pl': u'Polish', u'pt': u'Portuguese', u'ps': u'Pushto; Pashto', u'qu': u'Quechua', u'rm': u'Romansh', u'ro': u'Romanian', u'rn': u'Rundi', u'ru': u'Russian', u'sg': u'Sango', u'sa': u'Sanskrit', u'si': u'Sinhala; Sinhalese', u'sk': u'Slovak', u'sl': u'Slovenian', u'se': u'Northern Sami', u'sm': u'Samoan', u'sn': u'Shona', u'sd': u'Sindhi', u'so': u'Somali', u'st': u'Sotho, Southern', u'es': u'Spanish; Castilian', u'sc': u'Sardinian', u'sr': u'Serbian', u'ss': u'Swati', u'su': u'Sundanese', u'sw': u'Swahili', u'sv': u'Swedish', u'ty': u'Tahitian', u'ta': u'Tamil', u'tt': u'Tatar', u'te': u'Telugu', u'tg': u'Tajik', u'tl': u'Tagalog', u'th': u'Thai', u'bo': u'Tibetan', u'ti': u'Tigrinya', u'to': u'Tonga (Tonga Islands)', u'tn': u'Tswana', u'ts': u'Tsonga', u'tk': u'Turkmen', u'tr': u'Turkish', u'tw': u'Twi', u'ug': u'Uighur; Uyghur', u'uk': u'Ukrainian', u'ur': u'Urdu', u'uz': u'Uzbek', u've': u'Venda', u'vi': u'Vietnamese', u'vo': u'Volapük', u'cy': u'Welsh', u'wa': u'Walloon', u'wo': u'Wolof', u'xh': u'Xhosa', u'yi': u'Yiddish', u'yo': u'Yoruba', u'za': u'Zhuang; Chuang', u'zu': u'Zulu'}
""" headers: Set-Cookie: description: Session cookie schema: type: string example: SESSIONID=abcde12345; Path=/ "\0Set-Cookie": description: CSRF token schema: type: string example: CSRFTOKEN=fghijk678910; Path=/; HttpOnly """
""" headers: Set-Cookie: description: Session cookie schema: type: string example: SESSIONID=abcde12345; Path=/ "\x00Set-Cookie": description: CSRF token schema: type: string example: CSRFTOKEN=fghijk678910; Path=/; HttpOnly """
# # PySNMP MIB module PPPOE-MGMT-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/PPPOE-MGMT-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:41:53 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint") dlink_common_mgmt, = mibBuilder.importSymbols("DLINK-ID-REC-MIB", "dlink-common-mgmt") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Integer32, ModuleIdentity, Counter32, Unsigned32, MibIdentifier, Counter64, IpAddress, Bits, TimeTicks, iso, MibScalar, MibTable, MibTableRow, MibTableColumn, Gauge32, ObjectIdentity, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "ModuleIdentity", "Counter32", "Unsigned32", "MibIdentifier", "Counter64", "IpAddress", "Bits", "TimeTicks", "iso", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Gauge32", "ObjectIdentity", "NotificationType") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") swPPPoEMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 171, 12, 79)) if mibBuilder.loadTexts: swPPPoEMIB.setLastUpdated('0904020000Z') if mibBuilder.loadTexts: swPPPoEMIB.setOrganization('D-Link Corp') if mibBuilder.loadTexts: swPPPoEMIB.setContactInfo('http://support.dlink.com') if mibBuilder.loadTexts: swPPPoEMIB.setDescription('The structure of PPPoE management for the proprietary enterprise.') swPPPoEMgmtCtrl = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 79, 1)) swPPPoECirIDInsertState = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPPPoECirIDInsertState.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertState.setDescription('This object indicates the status of the PPPoE circuit ID insertion state of the switch.') swPPPoECirIDInsertPortMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2)) swPPPoECirIDInsertPortTable = MibTable((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1), ) if mibBuilder.loadTexts: swPPPoECirIDInsertPortTable.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortTable.setDescription('The table specifies the PPPoE circuit ID insertion function specified by the port.') swPPPoECirIDInsertPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1), ).setIndexNames((0, "PPPOE-MGMT-MIB", "swPPPoECirIDInsertPortIndex")) if mibBuilder.loadTexts: swPPPoECirIDInsertPortEntry.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortEntry.setDescription('A list of information contained in swPPPoECirIDInsertPortTable.') swPPPoECirIDInsertPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))) if mibBuilder.loadTexts: swPPPoECirIDInsertPortIndex.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortIndex.setDescription("This object indicates the module's port number. The range is from 1 to the maximum port number specified in the module") swPPPoECirIDInsertPortState = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPPPoECirIDInsertPortState.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortState.setDescription('This object indicates the PPPoE circuit ID insertion function state on the port.') swPPPoECirIDInsertPortCirID = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("switch-ip", 1), ("switch-mac", 2), ("udf-string", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPPPoECirIDInsertPortCirID.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortCirID.setDescription('This object indicates the port circuit ID.') swPPPoECirIDInsertPortUDFString = MibTableColumn((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 4), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPPPoECirIDInsertPortUDFString.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortUDFString.setDescription('This object indicates the user define string when the circuit ID is UDF string.') mibBuilder.exportSymbols("PPPOE-MGMT-MIB", swPPPoECirIDInsertPortIndex=swPPPoECirIDInsertPortIndex, swPPPoECirIDInsertPortMgmt=swPPPoECirIDInsertPortMgmt, swPPPoECirIDInsertPortCirID=swPPPoECirIDInsertPortCirID, PYSNMP_MODULE_ID=swPPPoEMIB, swPPPoECirIDInsertPortEntry=swPPPoECirIDInsertPortEntry, swPPPoEMgmtCtrl=swPPPoEMgmtCtrl, swPPPoECirIDInsertPortUDFString=swPPPoECirIDInsertPortUDFString, swPPPoECirIDInsertState=swPPPoECirIDInsertState, swPPPoECirIDInsertPortState=swPPPoECirIDInsertPortState, swPPPoEMIB=swPPPoEMIB, swPPPoECirIDInsertPortTable=swPPPoECirIDInsertPortTable)
(object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_union, value_range_constraint, single_value_constraint, constraints_intersection, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueSizeConstraint') (dlink_common_mgmt,) = mibBuilder.importSymbols('DLINK-ID-REC-MIB', 'dlink-common-mgmt') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (integer32, module_identity, counter32, unsigned32, mib_identifier, counter64, ip_address, bits, time_ticks, iso, mib_scalar, mib_table, mib_table_row, mib_table_column, gauge32, object_identity, notification_type) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'ModuleIdentity', 'Counter32', 'Unsigned32', 'MibIdentifier', 'Counter64', 'IpAddress', 'Bits', 'TimeTicks', 'iso', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Gauge32', 'ObjectIdentity', 'NotificationType') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') sw_pp_po_emib = module_identity((1, 3, 6, 1, 4, 1, 171, 12, 79)) if mibBuilder.loadTexts: swPPPoEMIB.setLastUpdated('0904020000Z') if mibBuilder.loadTexts: swPPPoEMIB.setOrganization('D-Link Corp') if mibBuilder.loadTexts: swPPPoEMIB.setContactInfo('http://support.dlink.com') if mibBuilder.loadTexts: swPPPoEMIB.setDescription('The structure of PPPoE management for the proprietary enterprise.') sw_pp_po_e_mgmt_ctrl = mib_identifier((1, 3, 6, 1, 4, 1, 171, 12, 79, 1)) sw_pp_po_e_cir_id_insert_state = mib_scalar((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: swPPPoECirIDInsertState.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertState.setDescription('This object indicates the status of the PPPoE circuit ID insertion state of the switch.') sw_pp_po_e_cir_id_insert_port_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2)) sw_pp_po_e_cir_id_insert_port_table = mib_table((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1)) if mibBuilder.loadTexts: swPPPoECirIDInsertPortTable.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortTable.setDescription('The table specifies the PPPoE circuit ID insertion function specified by the port.') sw_pp_po_e_cir_id_insert_port_entry = mib_table_row((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1)).setIndexNames((0, 'PPPOE-MGMT-MIB', 'swPPPoECirIDInsertPortIndex')) if mibBuilder.loadTexts: swPPPoECirIDInsertPortEntry.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortEntry.setDescription('A list of information contained in swPPPoECirIDInsertPortTable.') sw_pp_po_e_cir_id_insert_port_index = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 65535))) if mibBuilder.loadTexts: swPPPoECirIDInsertPortIndex.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortIndex.setDescription("This object indicates the module's port number. The range is from 1 to the maximum port number specified in the module") sw_pp_po_e_cir_id_insert_port_state = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: swPPPoECirIDInsertPortState.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortState.setDescription('This object indicates the PPPoE circuit ID insertion function state on the port.') sw_pp_po_e_cir_id_insert_port_cir_id = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('switch-ip', 1), ('switch-mac', 2), ('udf-string', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: swPPPoECirIDInsertPortCirID.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortCirID.setDescription('This object indicates the port circuit ID.') sw_pp_po_e_cir_id_insert_port_udf_string = mib_table_column((1, 3, 6, 1, 4, 1, 171, 12, 79, 1, 2, 1, 1, 4), display_string()).setMaxAccess('readwrite') if mibBuilder.loadTexts: swPPPoECirIDInsertPortUDFString.setStatus('current') if mibBuilder.loadTexts: swPPPoECirIDInsertPortUDFString.setDescription('This object indicates the user define string when the circuit ID is UDF string.') mibBuilder.exportSymbols('PPPOE-MGMT-MIB', swPPPoECirIDInsertPortIndex=swPPPoECirIDInsertPortIndex, swPPPoECirIDInsertPortMgmt=swPPPoECirIDInsertPortMgmt, swPPPoECirIDInsertPortCirID=swPPPoECirIDInsertPortCirID, PYSNMP_MODULE_ID=swPPPoEMIB, swPPPoECirIDInsertPortEntry=swPPPoECirIDInsertPortEntry, swPPPoEMgmtCtrl=swPPPoEMgmtCtrl, swPPPoECirIDInsertPortUDFString=swPPPoECirIDInsertPortUDFString, swPPPoECirIDInsertState=swPPPoECirIDInsertState, swPPPoECirIDInsertPortState=swPPPoECirIDInsertPortState, swPPPoEMIB=swPPPoEMIB, swPPPoECirIDInsertPortTable=swPPPoECirIDInsertPortTable)
''' digital media index: 0 - digital media id 1 - owner_id 2 - name 3 - description 4 - file_path 5 - thumbnail_path 6 - category_id 7 - media_type_id 8 - price 9 - approved ''' ############################################## # Search logic # ############################################## def search(conn, params): q = Q_Container(conn, params) if q.term != '': results = term_search(q) else: results = no_term_search(q) results = final_check(q, results) return results def term_search(q): results = term_query(q) results = filter_by_category(q, results) results = filter_by_type(q, results) results = filter_by_license(q, results) results = filter_by_approved(results) return results def no_term_search(q): if q.category == 'all': results = get_all_table(q) else: results = get_all_category(q) results = filter_by_type(q, results) results = filter_by_license(q, results) results = filter_by_approved(results) return results def filter_by_category(q, results): if q.category == 'all': return results for result in results[:]: if result[6] != q.category: results.remove(result) return results def filter_by_type(q, results): if len(q.media_types) == 0: return results for result in results[:]: if result[7] not in q.media_types: results.remove(result) return results def filter_by_approved(results): for result in results[:]: if result[9] == 0: results.remove(result) return results def filter_by_license(q, results): if q.license == 'free': for result in results[:]: if result[8] > 0: results.remove(result) elif q.license == 'paid': for result in results[:]: if result[8] == 0: results.remove(result) else: return results return results def final_check(q, results): if len(results) > 0: return results else: if q.term == '' and q.category == 'all' and len(q.media_types) == 0: results = get_all_table(q) elif q.term != '': results = term_query(q) elif q.category != 'all': results = get_all_category(q) results = filter_by_category(q, results) elif len(q.media_types) > 0: results = get_all_table(q) results = filter_by_type(q, results) if len(results) == 0: return get_all_table(q) return results ############################################## # functions that access the db # ############################################## def term_query(q): q.conn.query("SELECT * FROM digital_media WHERE `name` LIKE %s OR `description` LIKE %s", ("%" + q.term + "%","%" + q.term + "%")) data = q.conn.fetchall() q.conn.commit() return data def get_all_category(q): q.conn.query("SELECT * FROM `digital_media` WHERE `category` = %s", (q.category,)) data = q.conn.fetchall() q.conn.commit() return data def get_all_table(q): q.conn.query("SELECT * FROM digital_media") data = q.conn.fetchall() q.conn.commit() return data ################################################# # Query parameter container object # ################################################# class Q_Container(object): def __init__(self, conn, params): self.conn = conn self.term = params['term'] self.category = params['category'] self.license = params['license'] self.media_types = [] if 'image_check' in params: self.media_types.append('image') if 'video_check' in params: self.media_types.append('video') if 'audio_check' in params: self.media_types.append('audio') if 'document_check' in params: self.media_types.append('document')
""" digital media index: 0 - digital media id 1 - owner_id 2 - name 3 - description 4 - file_path 5 - thumbnail_path 6 - category_id 7 - media_type_id 8 - price 9 - approved """ def search(conn, params): q = q__container(conn, params) if q.term != '': results = term_search(q) else: results = no_term_search(q) results = final_check(q, results) return results def term_search(q): results = term_query(q) results = filter_by_category(q, results) results = filter_by_type(q, results) results = filter_by_license(q, results) results = filter_by_approved(results) return results def no_term_search(q): if q.category == 'all': results = get_all_table(q) else: results = get_all_category(q) results = filter_by_type(q, results) results = filter_by_license(q, results) results = filter_by_approved(results) return results def filter_by_category(q, results): if q.category == 'all': return results for result in results[:]: if result[6] != q.category: results.remove(result) return results def filter_by_type(q, results): if len(q.media_types) == 0: return results for result in results[:]: if result[7] not in q.media_types: results.remove(result) return results def filter_by_approved(results): for result in results[:]: if result[9] == 0: results.remove(result) return results def filter_by_license(q, results): if q.license == 'free': for result in results[:]: if result[8] > 0: results.remove(result) elif q.license == 'paid': for result in results[:]: if result[8] == 0: results.remove(result) else: return results return results def final_check(q, results): if len(results) > 0: return results else: if q.term == '' and q.category == 'all' and (len(q.media_types) == 0): results = get_all_table(q) elif q.term != '': results = term_query(q) elif q.category != 'all': results = get_all_category(q) results = filter_by_category(q, results) elif len(q.media_types) > 0: results = get_all_table(q) results = filter_by_type(q, results) if len(results) == 0: return get_all_table(q) return results def term_query(q): q.conn.query('SELECT * FROM digital_media WHERE `name` LIKE %s OR `description` LIKE %s', ('%' + q.term + '%', '%' + q.term + '%')) data = q.conn.fetchall() q.conn.commit() return data def get_all_category(q): q.conn.query('SELECT * FROM `digital_media` WHERE `category` = %s', (q.category,)) data = q.conn.fetchall() q.conn.commit() return data def get_all_table(q): q.conn.query('SELECT * FROM digital_media') data = q.conn.fetchall() q.conn.commit() return data class Q_Container(object): def __init__(self, conn, params): self.conn = conn self.term = params['term'] self.category = params['category'] self.license = params['license'] self.media_types = [] if 'image_check' in params: self.media_types.append('image') if 'video_check' in params: self.media_types.append('video') if 'audio_check' in params: self.media_types.append('audio') if 'document_check' in params: self.media_types.append('document')
def solve(*args): min_number = min(args[0]) max_number = max(args[0]) summary = sum(args[0]) print(f'The minimum number is {min_number}') print(f'The maximum number is {max_number}') print(f'The sum number is: {summary}') solve(list(map(int, input().split())))
def solve(*args): min_number = min(args[0]) max_number = max(args[0]) summary = sum(args[0]) print(f'The minimum number is {min_number}') print(f'The maximum number is {max_number}') print(f'The sum number is: {summary}') solve(list(map(int, input().split())))
w, h = 4, 100 list_of_gedung = [[0 for x in range(w)] for y in range(h)] def createVertex(upperbackleft_x, upperbackleft_y, upperbackleft_z, upperbackright_x, upperbackright_y, upperbackright_z, upperfrontleft_x, upperfrontleft_y, upperfrontleft_z, upperfrontright_x, upperfrontright_y, upperfrontright_z, underbackleft_x, underbackleft_y, underbackleft_z, underbackright_x, underbackright_y, underbackright_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z): vertex = [] #TR1 (left side) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) #TR2 (Backside) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) #TR3 (under side) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) #TR4 (back side) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) # TR5 (backside) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) #TR6 (under side) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) #TR7 (front side) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) #TR8 (right side) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) #TR9 (right side) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) #TR10 (upper side) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) #TR11 (upper side) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) #TR12 vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) return vertex def createBuilding(underbackright_x, underbackright_y, underbackright_z, underbackleft_x, underbackleft_y, underbackleft_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z, tinggi): # tinggi = 0.5 upperbackleft_x = underbackleft_x upperbackleft_y = underbackleft_y upperbackleft_z = underbackleft_z + tinggi upperbackright_x = underbackright_x upperbackright_y = underbackright_y upperbackright_z = underbackright_z + tinggi upperfrontright_x = underfrontright_x upperfrontright_y = underfrontright_y upperfrontright_z = underfrontright_z + tinggi upperfrontleft_x = underfrontleft_x upperfrontleft_y = underfrontleft_y upperfrontleft_z = underfrontleft_z + tinggi return createVertex(upperbackleft_x, upperbackleft_y, upperbackleft_z, upperbackright_x, upperbackright_y, upperbackright_z, upperfrontleft_x, upperfrontleft_y, upperfrontleft_z, upperfrontright_x, upperfrontright_y, upperfrontright_z, underbackleft_x, underbackleft_y, underbackleft_z, underbackright_x, underbackright_y, underbackright_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z) def createAllBuilding(): vertex_data = [] i = 0 # albar vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 # altim vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 # cbar vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.35) i += 1 # ctim vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.35) i += 1 # l5 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 # l6 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 # l7 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 # l8 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 # pau vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 # perpus vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 # mektan vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 # comlabs vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.45) i += 1 # pln vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.45) i += 1 # tvst vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 # oktagon vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 # labir utara vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.65) i += 1 # labir selatan vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.65) i += 1 # labir tengah vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.6) i += 1 # belakang perpus vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 # belakang pau vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 # jalanan vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += createBuilding(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) return vertex_data
(w, h) = (4, 100) list_of_gedung = [[0 for x in range(w)] for y in range(h)] def create_vertex(upperbackleft_x, upperbackleft_y, upperbackleft_z, upperbackright_x, upperbackright_y, upperbackright_z, upperfrontleft_x, upperfrontleft_y, upperfrontleft_z, upperfrontright_x, upperfrontright_y, upperfrontright_z, underbackleft_x, underbackleft_y, underbackleft_z, underbackright_x, underbackright_y, underbackright_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z): vertex = [] vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) vertex.append(underbackleft_x) vertex.append(underbackleft_y) vertex.append(underbackleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(underfrontleft_x) vertex.append(underfrontleft_y) vertex.append(underfrontleft_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(underbackright_x) vertex.append(underbackright_y) vertex.append(underbackright_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperbackright_x) vertex.append(upperbackright_y) vertex.append(upperbackright_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperbackleft_x) vertex.append(upperbackleft_y) vertex.append(upperbackleft_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(upperfrontright_x) vertex.append(upperfrontright_y) vertex.append(upperfrontright_z) vertex.append(upperfrontleft_x) vertex.append(upperfrontleft_y) vertex.append(upperfrontleft_z) vertex.append(underfrontright_x) vertex.append(underfrontright_y) vertex.append(underfrontright_z) return vertex def create_building(underbackright_x, underbackright_y, underbackright_z, underbackleft_x, underbackleft_y, underbackleft_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z, tinggi): upperbackleft_x = underbackleft_x upperbackleft_y = underbackleft_y upperbackleft_z = underbackleft_z + tinggi upperbackright_x = underbackright_x upperbackright_y = underbackright_y upperbackright_z = underbackright_z + tinggi upperfrontright_x = underfrontright_x upperfrontright_y = underfrontright_y upperfrontright_z = underfrontright_z + tinggi upperfrontleft_x = underfrontleft_x upperfrontleft_y = underfrontleft_y upperfrontleft_z = underfrontleft_z + tinggi return create_vertex(upperbackleft_x, upperbackleft_y, upperbackleft_z, upperbackright_x, upperbackright_y, upperbackright_z, upperfrontleft_x, upperfrontleft_y, upperfrontleft_z, upperfrontright_x, upperfrontright_y, upperfrontright_z, underbackleft_x, underbackleft_y, underbackleft_z, underbackright_x, underbackright_y, underbackright_z, underfrontleft_x, underfrontleft_y, underfrontleft_z, underfrontright_x, underfrontright_y, underfrontright_z) def create_all_building(): vertex_data = [] i = 0 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.35) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.35) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.4) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.45) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.45) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.5) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.65) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.65) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.6) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.7) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) i += 1 vertex_data += create_building(list_of_gedung[i][0][0], list_of_gedung[i][0][1], list_of_gedung[i][0][2], list_of_gedung[i][1][0], list_of_gedung[i][1][1], list_of_gedung[i][1][2], list_of_gedung[i][2][0], list_of_gedung[i][2][1], list_of_gedung[i][2][2], list_of_gedung[i][3][0], list_of_gedung[i][3][1], list_of_gedung[i][3][2], 0.2) return vertex_data
## @file # Module to gather dependency information for ASKAP packages # # @copyright (c) 2006 CSIRO # Australia Telescope National Facility (ATNF) # Commonwealth Scientific and Industrial Research Organisation (CSIRO) # PO Box 76, Epping NSW 1710, Australia # atnf-enquiries@csiro.au # # This file is part of the ASKAP software distribution. # # The ASKAP software distribution is free software: you can redistribute it # and/or modify it under the terms of the GNU General Public License as # published by the Free Software Foundation; either version 2 of the License # or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA. # # @author Malte Marquarding <malte.marquarding@csiro.au> # ## This is an ordered dict, i.e. the keys are in the order in # which they have been added. It has the same interface as dict # but only the functions which are in use have been implemented class OrderedDict: ## Create an empty container # @param self the object reference def __init__(self): self._list = [] ## Return the length of the container (the number of keys) # @return an integer value def __len__(self): return len(self._list) ## Insert an item into the container # @param self the object reference # @param key the key of the item # @param value the value of the item def __setitem__(self, key, value): self._list.append([key, value]) ## Retrieve an item from the container using its key # @param self the object reference # @param i the key of the item to retrieve # @return the value of the item def __getitem__(self, i): found = False for key, value in self.iteritems(): if key == i: return value if not found: raise KeyError(str(i)) ## Get the keys of the container # @param self the object reference # @return a list of keys def keys(self): return [i[0] for i in self._list] ## Determine if a key exists in the container # @param self the object reference # @param k the name of the key # @return a boolean inidcatinf if the key exists def has_key(self, k): return (k in self.keys()) def __contains__(self, k): return self.has_key(k) ## Get the values of the container # @param self the object reference # @return a list of values def values(self): return [i[1] for i in self._list] ## Return a generator for this container # @param self the object reference # @return a generator returning (key, value) tuples def iteritems(self): for i in self._list: yield i[0], i[1] ## Move an existing item to the end of the container # @param self the object reference # @param key the key of the item def toend(self, key): value = self.__getitem__(key) del self._list[self.keys().index(key)] self._list.append([key, value])
class Ordereddict: def __init__(self): self._list = [] def __len__(self): return len(self._list) def __setitem__(self, key, value): self._list.append([key, value]) def __getitem__(self, i): found = False for (key, value) in self.iteritems(): if key == i: return value if not found: raise key_error(str(i)) def keys(self): return [i[0] for i in self._list] def has_key(self, k): return k in self.keys() def __contains__(self, k): return self.has_key(k) def values(self): return [i[1] for i in self._list] def iteritems(self): for i in self._list: yield (i[0], i[1]) def toend(self, key): value = self.__getitem__(key) del self._list[self.keys().index(key)] self._list.append([key, value])
## Sum of odd numbers ## 7 kyu ## https://www.codewars.com/kata/55fd2d567d94ac3bc9000064 def row_sum_odd_numbers(n): total = 0 row_sum= 0 for i in range(n-1,0, -1): total += i starting_odd = total * 2 + 1 for i in range(1,n+1): row_sum += starting_odd starting_odd += 2 return row_sum
def row_sum_odd_numbers(n): total = 0 row_sum = 0 for i in range(n - 1, 0, -1): total += i starting_odd = total * 2 + 1 for i in range(1, n + 1): row_sum += starting_odd starting_odd += 2 return row_sum
# Copyright 2017 The Bazel Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. load("//tools:bazel_hash_dict.bzl", "BAZEL_HASH_DICT") BAZEL_VERSIONS = BAZEL_HASH_DICT.keys() def _zfill(v, l = 5): """zfill a string by padding 0s to the left of the string till it is the link specified by l. """ return "0" * (l - len(v)) + v def _unfill(v, l = 5): """unfill takes a zfilled string and returns it to the original value""" return [ str(int(v[l * i:l * (i + 1)])) for i in range(len(v) // l) ] def GET_LATEST_BAZEL_VERSIONS(count = 3): """GET_LATEST_BAZEL_VERSIONS count and returns a list of the latest $count minor versions at their latest patch. Example: ["0.1.0", "0.1.1", "0.2.0", "0.3.0"] => ["0.1.1", "0.2.0", "0.3.0"] Arguments: count: The number of versions to return. """ version_tuple_list = [] for v in BAZEL_VERSIONS: version_tuple_list.append("".join([_zfill(x, 5) for x in v.split(".")])) already_handled_major_minors = [] toReturn = [] # By padding everything with a consistent number of 0s we can sort using # string sort and get a list in order. for v in reversed(sorted(version_tuple_list)): if len(toReturn) >= count: break major_minor = v[0:10] if major_minor in already_handled_major_minors: continue already_handled_major_minors.append(major_minor) toReturn.append(_unfill(v)) return [".".join(v) for v in toReturn]
load('//tools:bazel_hash_dict.bzl', 'BAZEL_HASH_DICT') bazel_versions = BAZEL_HASH_DICT.keys() def _zfill(v, l=5): """zfill a string by padding 0s to the left of the string till it is the link specified by l. """ return '0' * (l - len(v)) + v def _unfill(v, l=5): """unfill takes a zfilled string and returns it to the original value""" return [str(int(v[l * i:l * (i + 1)])) for i in range(len(v) // l)] def get_latest_bazel_versions(count=3): """GET_LATEST_BAZEL_VERSIONS count and returns a list of the latest $count minor versions at their latest patch. Example: ["0.1.0", "0.1.1", "0.2.0", "0.3.0"] => ["0.1.1", "0.2.0", "0.3.0"] Arguments: count: The number of versions to return. """ version_tuple_list = [] for v in BAZEL_VERSIONS: version_tuple_list.append(''.join([_zfill(x, 5) for x in v.split('.')])) already_handled_major_minors = [] to_return = [] for v in reversed(sorted(version_tuple_list)): if len(toReturn) >= count: break major_minor = v[0:10] if major_minor in already_handled_major_minors: continue already_handled_major_minors.append(major_minor) toReturn.append(_unfill(v)) return ['.'.join(v) for v in toReturn]
# # PySNMP MIB module RFC1253-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RFC1253-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:00:57 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) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint", "ValueSizeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") Integer32, ModuleIdentity, Gauge32, Counter64, iso, Counter32, TimeTicks, NotificationType, ObjectIdentity, MibIdentifier, IpAddress, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Unsigned32, mib_2 = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "ModuleIdentity", "Gauge32", "Counter64", "iso", "Counter32", "TimeTicks", "NotificationType", "ObjectIdentity", "MibIdentifier", "IpAddress", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Unsigned32", "mib-2") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") ospf = MibIdentifier((1, 3, 6, 1, 2, 1, 14)) class AreaID(IpAddress): pass class RouterID(IpAddress): pass class Metric(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 65535) class BigMetric(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 16777215) class TruthValue(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("true", 1), ("false", 2)) class Status(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("enabled", 1), ("disabled", 2)) class Validation(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("valid", 1), ("invalid", 2)) class PositiveInteger(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 4294967295) class HelloRange(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 65535) class UpToMaxAge(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 3600) class InterfaceIndex(Integer32): pass class DesignatedRouterPriority(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 255) class TOSType(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 31) ospfGeneralGroup = MibIdentifier((1, 3, 6, 1, 2, 1, 14, 1)) ospfRouterId = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 1), RouterID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfRouterId.setStatus('mandatory') ospfAdminStat = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 2), Status()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAdminStat.setStatus('mandatory') ospfVersionNumber = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(2))).clone(namedValues=NamedValues(("version2", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVersionNumber.setStatus('mandatory') ospfAreaBdrRtrStatus = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 4), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfAreaBdrRtrStatus.setStatus('mandatory') ospfASBdrRtrStatus = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 5), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfASBdrRtrStatus.setStatus('mandatory') ospfExternLSACount = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 6), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfExternLSACount.setStatus('mandatory') ospfExternLSACksumSum = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfExternLSACksumSum.setStatus('mandatory') ospfTOSSupport = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 8), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfTOSSupport.setStatus('mandatory') ospfOriginateNewLSAs = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfOriginateNewLSAs.setStatus('mandatory') ospfRxNewLSAs = MibScalar((1, 3, 6, 1, 2, 1, 14, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfRxNewLSAs.setStatus('mandatory') ospfAreaTable = MibTable((1, 3, 6, 1, 2, 1, 14, 2), ) if mibBuilder.loadTexts: ospfAreaTable.setStatus('mandatory') ospfAreaEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 2, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfAreaId")) if mibBuilder.loadTexts: ospfAreaEntry.setStatus('mandatory') ospfAreaId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 1), AreaID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAreaId.setStatus('mandatory') ospfAuthType = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAuthType.setStatus('mandatory') ospfImportASExtern = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 3), TruthValue().clone('true')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfImportASExtern.setStatus('mandatory') ospfSpfRuns = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfSpfRuns.setStatus('mandatory') ospfAreaBdrRtrCount = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 5), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfAreaBdrRtrCount.setStatus('mandatory') ospfASBdrRtrCount = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 6), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfASBdrRtrCount.setStatus('mandatory') ospfAreaLSACount = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 7), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfAreaLSACount.setStatus('mandatory') ospfAreaLSACksumSum = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 2, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfAreaLSACksumSum.setStatus('mandatory') ospfStubAreaTable = MibTable((1, 3, 6, 1, 2, 1, 14, 3), ) if mibBuilder.loadTexts: ospfStubAreaTable.setStatus('mandatory') ospfStubAreaEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 3, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfStubAreaID"), (0, "RFC1253-MIB", "ospfStubTOS")) if mibBuilder.loadTexts: ospfStubAreaEntry.setStatus('mandatory') ospfStubAreaID = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 3, 1, 1), AreaID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfStubAreaID.setStatus('mandatory') ospfStubTOS = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 3, 1, 2), TOSType()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfStubTOS.setStatus('mandatory') ospfStubMetric = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 3, 1, 3), BigMetric()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfStubMetric.setStatus('mandatory') ospfStubStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 3, 1, 4), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfStubStatus.setStatus('mandatory') ospfLsdbTable = MibTable((1, 3, 6, 1, 2, 1, 14, 4), ) if mibBuilder.loadTexts: ospfLsdbTable.setStatus('mandatory') ospfLsdbEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 4, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfLsdbAreaId"), (0, "RFC1253-MIB", "ospfLsdbType"), (0, "RFC1253-MIB", "ospfLsdbLSID"), (0, "RFC1253-MIB", "ospfLsdbRouterId")) if mibBuilder.loadTexts: ospfLsdbEntry.setStatus('mandatory') ospfLsdbAreaId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 1), AreaID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbAreaId.setStatus('mandatory') ospfLsdbType = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("routerLink", 1), ("networkLink", 2), ("summaryLink", 3), ("asSummaryLink", 4), ("asExternalLink", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbType.setStatus('mandatory') ospfLsdbLSID = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbLSID.setStatus('mandatory') ospfLsdbRouterId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 4), RouterID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbRouterId.setStatus('mandatory') ospfLsdbSequence = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbSequence.setStatus('mandatory') ospfLsdbAge = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbAge.setStatus('mandatory') ospfLsdbChecksum = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbChecksum.setStatus('mandatory') ospfLsdbAdvertisement = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 4, 1, 8), OctetString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfLsdbAdvertisement.setStatus('mandatory') ospfAreaRangeTable = MibTable((1, 3, 6, 1, 2, 1, 14, 5), ) if mibBuilder.loadTexts: ospfAreaRangeTable.setStatus('mandatory') ospfAreaRangeEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 5, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfAreaRangeAreaID"), (0, "RFC1253-MIB", "ospfAreaRangeNet")) if mibBuilder.loadTexts: ospfAreaRangeEntry.setStatus('mandatory') ospfAreaRangeAreaID = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 5, 1, 1), AreaID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAreaRangeAreaID.setStatus('mandatory') ospfAreaRangeNet = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 5, 1, 2), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAreaRangeNet.setStatus('mandatory') ospfAreaRangeMask = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 5, 1, 3), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAreaRangeMask.setStatus('mandatory') ospfAreaRangeStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 5, 1, 4), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAreaRangeStatus.setStatus('mandatory') ospfHostTable = MibTable((1, 3, 6, 1, 2, 1, 14, 6), ) if mibBuilder.loadTexts: ospfHostTable.setStatus('mandatory') ospfHostEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 6, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfHostIpAddress"), (0, "RFC1253-MIB", "ospfHostTOS")) if mibBuilder.loadTexts: ospfHostEntry.setStatus('mandatory') ospfHostIpAddress = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 6, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfHostIpAddress.setStatus('mandatory') ospfHostTOS = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 6, 1, 2), TOSType()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfHostTOS.setStatus('mandatory') ospfHostMetric = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 6, 1, 3), Metric()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfHostMetric.setStatus('mandatory') ospfHostStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 6, 1, 4), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfHostStatus.setStatus('mandatory') ospfIfTable = MibTable((1, 3, 6, 1, 2, 1, 14, 7), ) if mibBuilder.loadTexts: ospfIfTable.setStatus('mandatory') ospfIfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 7, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfIfIpAddress"), (0, "RFC1253-MIB", "ospfAddressLessIf")) if mibBuilder.loadTexts: ospfIfEntry.setStatus('mandatory') ospfIfIpAddress = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfIpAddress.setStatus('mandatory') ospfAddressLessIf = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfAddressLessIf.setStatus('mandatory') ospfIfAreaId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 3), AreaID().clone(hexValue="00000000")).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfAreaId.setStatus('mandatory') ospfIfType = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("broadcast", 1), ("nbma", 2), ("pointToPoint", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfType.setStatus('mandatory') ospfIfAdminStat = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 5), Status().clone('enabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfAdminStat.setStatus('mandatory') ospfIfRtrPriority = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 6), DesignatedRouterPriority().clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfRtrPriority.setStatus('mandatory') ospfIfTransitDelay = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 7), UpToMaxAge().clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfTransitDelay.setStatus('mandatory') ospfIfRetransInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 8), UpToMaxAge().clone(5)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfRetransInterval.setStatus('mandatory') ospfIfHelloInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 9), HelloRange().clone(10)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfHelloInterval.setStatus('mandatory') ospfIfRtrDeadInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 10), PositiveInteger().clone(40)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfRtrDeadInterval.setStatus('mandatory') ospfIfPollInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 11), PositiveInteger().clone(120)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfPollInterval.setStatus('mandatory') ospfIfState = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("down", 1), ("loopback", 2), ("waiting", 3), ("pointToPoint", 4), ("designatedRouter", 5), ("backupDesignatedRouter", 6), ("otherDesignatedRouter", 7))).clone('down')).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfIfState.setStatus('mandatory') ospfIfDesignatedRouter = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 13), IpAddress().clone(hexValue="00000000")).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfIfDesignatedRouter.setStatus('mandatory') ospfIfBackupDesignatedRouter = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 14), IpAddress().clone(hexValue="00000000")).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfIfBackupDesignatedRouter.setStatus('mandatory') ospfIfEvents = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfIfEvents.setStatus('mandatory') ospfIfAuthKey = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 7, 1, 16), OctetString().clone(hexValue="0000000000000000")).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfAuthKey.setStatus('mandatory') ospfIfMetricTable = MibTable((1, 3, 6, 1, 2, 1, 14, 8), ) if mibBuilder.loadTexts: ospfIfMetricTable.setStatus('mandatory') ospfIfMetricEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 8, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfIfMetricIpAddress"), (0, "RFC1253-MIB", "ospfIfMetricAddressLessIf"), (0, "RFC1253-MIB", "ospfIfMetricTOS")) if mibBuilder.loadTexts: ospfIfMetricEntry.setStatus('mandatory') ospfIfMetricIpAddress = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 8, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfMetricIpAddress.setStatus('mandatory') ospfIfMetricAddressLessIf = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 8, 1, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfMetricAddressLessIf.setStatus('mandatory') ospfIfMetricTOS = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 8, 1, 3), TOSType()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfMetricTOS.setStatus('mandatory') ospfIfMetricMetric = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 8, 1, 4), Metric()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfMetricMetric.setStatus('mandatory') ospfIfMetricStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 8, 1, 5), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfIfMetricStatus.setStatus('mandatory') ospfVirtIfTable = MibTable((1, 3, 6, 1, 2, 1, 14, 9), ) if mibBuilder.loadTexts: ospfVirtIfTable.setStatus('mandatory') ospfVirtIfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 9, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfVirtIfAreaID"), (0, "RFC1253-MIB", "ospfVirtIfNeighbor")) if mibBuilder.loadTexts: ospfVirtIfEntry.setStatus('mandatory') ospfVirtIfAreaID = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 1), AreaID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfAreaID.setStatus('mandatory') ospfVirtIfNeighbor = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 2), RouterID()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfNeighbor.setStatus('mandatory') ospfVirtIfTransitDelay = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 3), UpToMaxAge().clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfTransitDelay.setStatus('mandatory') ospfVirtIfRetransInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 4), UpToMaxAge().clone(5)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfRetransInterval.setStatus('mandatory') ospfVirtIfHelloInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 5), HelloRange().clone(10)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfHelloInterval.setStatus('mandatory') ospfVirtIfRtrDeadInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 6), PositiveInteger().clone(60)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfRtrDeadInterval.setStatus('mandatory') ospfVirtIfState = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 4))).clone(namedValues=NamedValues(("down", 1), ("pointToPoint", 4))).clone('down')).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtIfState.setStatus('mandatory') ospfVirtIfEvents = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtIfEvents.setStatus('mandatory') ospfVirtIfAuthKey = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 9), OctetString().clone(hexValue="0000000000000000")).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfAuthKey.setStatus('mandatory') ospfVirtIfStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 9, 1, 10), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfVirtIfStatus.setStatus('mandatory') ospfNbrTable = MibTable((1, 3, 6, 1, 2, 1, 14, 10), ) if mibBuilder.loadTexts: ospfNbrTable.setStatus('mandatory') ospfNbrEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 10, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfNbrIpAddr"), (0, "RFC1253-MIB", "ospfNbrAddressLessIndex")) if mibBuilder.loadTexts: ospfNbrEntry.setStatus('mandatory') ospfNbrIpAddr = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 1), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfNbrIpAddr.setStatus('mandatory') ospfNbrAddressLessIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 2), InterfaceIndex()).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfNbrAddressLessIndex.setStatus('mandatory') ospfNbrRtrId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 3), RouterID().clone(hexValue="00000000")).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfNbrRtrId.setStatus('mandatory') ospfNbrOptions = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfNbrOptions.setStatus('mandatory') ospfNbrPriority = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 5), DesignatedRouterPriority().clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfNbrPriority.setStatus('mandatory') ospfNbrState = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("down", 1), ("attempt", 2), ("init", 3), ("twoWay", 4), ("exchangeStart", 5), ("exchange", 6), ("loading", 7), ("full", 8))).clone('down')).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfNbrState.setStatus('mandatory') ospfNbrEvents = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfNbrEvents.setStatus('mandatory') ospfNbrLSRetransQLen = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 8), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfNbrLSRetransQLen.setStatus('mandatory') ospfNBMANbrStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 10, 1, 9), Validation().clone('valid')).setMaxAccess("readwrite") if mibBuilder.loadTexts: ospfNBMANbrStatus.setStatus('mandatory') ospfVirtNbrTable = MibTable((1, 3, 6, 1, 2, 1, 14, 11), ) if mibBuilder.loadTexts: ospfVirtNbrTable.setStatus('mandatory') ospfVirtNbrEntry = MibTableRow((1, 3, 6, 1, 2, 1, 14, 11, 1), ).setIndexNames((0, "RFC1253-MIB", "ospfVirtNbrArea"), (0, "RFC1253-MIB", "ospfVirtNbrRtrId")) if mibBuilder.loadTexts: ospfVirtNbrEntry.setStatus('mandatory') ospfVirtNbrArea = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 1), AreaID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrArea.setStatus('mandatory') ospfVirtNbrRtrId = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 2), RouterID()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrRtrId.setStatus('mandatory') ospfVirtNbrIpAddr = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 3), IpAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrIpAddr.setStatus('mandatory') ospfVirtNbrOptions = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrOptions.setStatus('mandatory') ospfVirtNbrState = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("down", 1), ("attempt", 2), ("init", 3), ("twoWay", 4), ("exchangeStart", 5), ("exchange", 6), ("loading", 7), ("full", 8)))).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrState.setStatus('mandatory') ospfVirtNbrEvents = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrEvents.setStatus('mandatory') ospfVirtNbrLSRetransQLen = MibTableColumn((1, 3, 6, 1, 2, 1, 14, 11, 1, 7), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ospfVirtNbrLSRetransQLen.setStatus('mandatory') mibBuilder.exportSymbols("RFC1253-MIB", DesignatedRouterPriority=DesignatedRouterPriority, ospfLsdbTable=ospfLsdbTable, ospfSpfRuns=ospfSpfRuns, ospfIfMetricIpAddress=ospfIfMetricIpAddress, ospfIfTransitDelay=ospfIfTransitDelay, ospfAdminStat=ospfAdminStat, ospfVirtIfRtrDeadInterval=ospfVirtIfRtrDeadInterval, ospfStubAreaTable=ospfStubAreaTable, ospfAuthType=ospfAuthType, ospfIfEvents=ospfIfEvents, PositiveInteger=PositiveInteger, ospfVirtNbrState=ospfVirtNbrState, ospfHostTOS=ospfHostTOS, ospfAreaRangeMask=ospfAreaRangeMask, ospfIfIpAddress=ospfIfIpAddress, ospfIfState=ospfIfState, TruthValue=TruthValue, ospfNbrEntry=ospfNbrEntry, ospfNbrTable=ospfNbrTable, ospfIfMetricEntry=ospfIfMetricEntry, ospfRouterId=ospfRouterId, ospfIfMetricMetric=ospfIfMetricMetric, ospfVirtIfNeighbor=ospfVirtIfNeighbor, ospfIfHelloInterval=ospfIfHelloInterval, ospfVirtNbrEntry=ospfVirtNbrEntry, Status=Status, ospfStubMetric=ospfStubMetric, ospfOriginateNewLSAs=ospfOriginateNewLSAs, ospfAreaRangeEntry=ospfAreaRangeEntry, ospfVirtIfRetransInterval=ospfVirtIfRetransInterval, ospfNBMANbrStatus=ospfNBMANbrStatus, AreaID=AreaID, InterfaceIndex=InterfaceIndex, ospfIfRetransInterval=ospfIfRetransInterval, ospfASBdrRtrStatus=ospfASBdrRtrStatus, ospfNbrIpAddr=ospfNbrIpAddr, ospfNbrOptions=ospfNbrOptions, ospfIfMetricTOS=ospfIfMetricTOS, ospfIfRtrPriority=ospfIfRtrPriority, ospfStubStatus=ospfStubStatus, ospfVirtNbrEvents=ospfVirtNbrEvents, Metric=Metric, ospfAreaId=ospfAreaId, ospfExternLSACksumSum=ospfExternLSACksumSum, ospfIfType=ospfIfType, ospfIfDesignatedRouter=ospfIfDesignatedRouter, ospfIfMetricStatus=ospfIfMetricStatus, ospfNbrEvents=ospfNbrEvents, ospfIfMetricAddressLessIf=ospfIfMetricAddressLessIf, ospfVirtIfHelloInterval=ospfVirtIfHelloInterval, ospfAreaTable=ospfAreaTable, ospfHostTable=ospfHostTable, ospfIfTable=ospfIfTable, ospfVirtIfTransitDelay=ospfVirtIfTransitDelay, ospfLsdbAdvertisement=ospfLsdbAdvertisement, ospfVirtNbrArea=ospfVirtNbrArea, ospfAreaLSACount=ospfAreaLSACount, ospfHostIpAddress=ospfHostIpAddress, ospfIfMetricTable=ospfIfMetricTable, ospfVirtIfTable=ospfVirtIfTable, ospfNbrAddressLessIndex=ospfNbrAddressLessIndex, ospfLsdbAreaId=ospfLsdbAreaId, ospfLsdbLSID=ospfLsdbLSID, ospfAreaLSACksumSum=ospfAreaLSACksumSum, ospfAreaEntry=ospfAreaEntry, ospfVirtIfState=ospfVirtIfState, ospfTOSSupport=ospfTOSSupport, ospfGeneralGroup=ospfGeneralGroup, HelloRange=HelloRange, ospfStubAreaEntry=ospfStubAreaEntry, ospfHostMetric=ospfHostMetric, ospfNbrLSRetransQLen=ospfNbrLSRetransQLen, RouterID=RouterID, ospfNbrRtrId=ospfNbrRtrId, ospf=ospf, ospfAreaBdrRtrCount=ospfAreaBdrRtrCount, ospfAreaBdrRtrStatus=ospfAreaBdrRtrStatus, ospfVirtIfEvents=ospfVirtIfEvents, ospfHostStatus=ospfHostStatus, ospfVirtNbrRtrId=ospfVirtNbrRtrId, ospfVirtNbrOptions=ospfVirtNbrOptions, ospfLsdbSequence=ospfLsdbSequence, BigMetric=BigMetric, ospfAreaRangeStatus=ospfAreaRangeStatus, ospfAreaRangeNet=ospfAreaRangeNet, ospfVirtNbrLSRetransQLen=ospfVirtNbrLSRetransQLen, ospfVirtNbrIpAddr=ospfVirtNbrIpAddr, ospfIfAuthKey=ospfIfAuthKey, ospfRxNewLSAs=ospfRxNewLSAs, ospfIfAdminStat=ospfIfAdminStat, ospfLsdbType=ospfLsdbType, ospfExternLSACount=ospfExternLSACount, ospfAreaRangeTable=ospfAreaRangeTable, ospfIfAreaId=ospfIfAreaId, UpToMaxAge=UpToMaxAge, ospfHostEntry=ospfHostEntry, ospfASBdrRtrCount=ospfASBdrRtrCount, ospfVersionNumber=ospfVersionNumber, ospfStubAreaID=ospfStubAreaID, ospfLsdbChecksum=ospfLsdbChecksum, ospfVirtIfEntry=ospfVirtIfEntry, ospfAddressLessIf=ospfAddressLessIf, ospfAreaRangeAreaID=ospfAreaRangeAreaID, ospfIfBackupDesignatedRouter=ospfIfBackupDesignatedRouter, ospfLsdbAge=ospfLsdbAge, ospfLsdbEntry=ospfLsdbEntry, ospfIfPollInterval=ospfIfPollInterval, ospfVirtIfAreaID=ospfVirtIfAreaID, ospfVirtNbrTable=ospfVirtNbrTable, ospfNbrState=ospfNbrState, ospfIfEntry=ospfIfEntry, TOSType=TOSType, ospfImportASExtern=ospfImportASExtern, ospfVirtIfAuthKey=ospfVirtIfAuthKey, ospfVirtIfStatus=ospfVirtIfStatus, ospfLsdbRouterId=ospfLsdbRouterId, Validation=Validation, ospfIfRtrDeadInterval=ospfIfRtrDeadInterval, ospfNbrPriority=ospfNbrPriority, ospfStubTOS=ospfStubTOS)
(octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (single_value_constraint, constraints_intersection, constraints_union, value_range_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ConstraintsIntersection', 'ConstraintsUnion', 'ValueRangeConstraint', 'ValueSizeConstraint') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (integer32, module_identity, gauge32, counter64, iso, counter32, time_ticks, notification_type, object_identity, mib_identifier, ip_address, mib_scalar, mib_table, mib_table_row, mib_table_column, bits, unsigned32, mib_2) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'ModuleIdentity', 'Gauge32', 'Counter64', 'iso', 'Counter32', 'TimeTicks', 'NotificationType', 'ObjectIdentity', 'MibIdentifier', 'IpAddress', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Bits', 'Unsigned32', 'mib-2') (display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention') ospf = mib_identifier((1, 3, 6, 1, 2, 1, 14)) class Areaid(IpAddress): pass class Routerid(IpAddress): pass class Metric(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 65535) class Bigmetric(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 16777215) class Truthvalue(Integer32): subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2)) named_values = named_values(('true', 1), ('false', 2)) class Status(Integer32): subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2)) named_values = named_values(('enabled', 1), ('disabled', 2)) class Validation(Integer32): subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2)) named_values = named_values(('valid', 1), ('invalid', 2)) class Positiveinteger(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 4294967295) class Hellorange(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 65535) class Uptomaxage(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 3600) class Interfaceindex(Integer32): pass class Designatedrouterpriority(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 255) class Tostype(Integer32): subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 31) ospf_general_group = mib_identifier((1, 3, 6, 1, 2, 1, 14, 1)) ospf_router_id = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 1), router_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfRouterId.setStatus('mandatory') ospf_admin_stat = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 2), status()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAdminStat.setStatus('mandatory') ospf_version_number = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(2))).clone(namedValues=named_values(('version2', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVersionNumber.setStatus('mandatory') ospf_area_bdr_rtr_status = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 4), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfAreaBdrRtrStatus.setStatus('mandatory') ospf_as_bdr_rtr_status = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 5), truth_value()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfASBdrRtrStatus.setStatus('mandatory') ospf_extern_lsa_count = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 6), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfExternLSACount.setStatus('mandatory') ospf_extern_lsa_cksum_sum = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfExternLSACksumSum.setStatus('mandatory') ospf_tos_support = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 8), truth_value()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfTOSSupport.setStatus('mandatory') ospf_originate_new_ls_as = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfOriginateNewLSAs.setStatus('mandatory') ospf_rx_new_ls_as = mib_scalar((1, 3, 6, 1, 2, 1, 14, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfRxNewLSAs.setStatus('mandatory') ospf_area_table = mib_table((1, 3, 6, 1, 2, 1, 14, 2)) if mibBuilder.loadTexts: ospfAreaTable.setStatus('mandatory') ospf_area_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 2, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfAreaId')) if mibBuilder.loadTexts: ospfAreaEntry.setStatus('mandatory') ospf_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 1), area_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAreaId.setStatus('mandatory') ospf_auth_type = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 2), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAuthType.setStatus('mandatory') ospf_import_as_extern = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 3), truth_value().clone('true')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfImportASExtern.setStatus('mandatory') ospf_spf_runs = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfSpfRuns.setStatus('mandatory') ospf_area_bdr_rtr_count = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 5), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfAreaBdrRtrCount.setStatus('mandatory') ospf_as_bdr_rtr_count = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 6), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfASBdrRtrCount.setStatus('mandatory') ospf_area_lsa_count = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 7), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfAreaLSACount.setStatus('mandatory') ospf_area_lsa_cksum_sum = mib_table_column((1, 3, 6, 1, 2, 1, 14, 2, 1, 8), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfAreaLSACksumSum.setStatus('mandatory') ospf_stub_area_table = mib_table((1, 3, 6, 1, 2, 1, 14, 3)) if mibBuilder.loadTexts: ospfStubAreaTable.setStatus('mandatory') ospf_stub_area_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 3, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfStubAreaID'), (0, 'RFC1253-MIB', 'ospfStubTOS')) if mibBuilder.loadTexts: ospfStubAreaEntry.setStatus('mandatory') ospf_stub_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 3, 1, 1), area_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfStubAreaID.setStatus('mandatory') ospf_stub_tos = mib_table_column((1, 3, 6, 1, 2, 1, 14, 3, 1, 2), tos_type()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfStubTOS.setStatus('mandatory') ospf_stub_metric = mib_table_column((1, 3, 6, 1, 2, 1, 14, 3, 1, 3), big_metric()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfStubMetric.setStatus('mandatory') ospf_stub_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 3, 1, 4), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfStubStatus.setStatus('mandatory') ospf_lsdb_table = mib_table((1, 3, 6, 1, 2, 1, 14, 4)) if mibBuilder.loadTexts: ospfLsdbTable.setStatus('mandatory') ospf_lsdb_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 4, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfLsdbAreaId'), (0, 'RFC1253-MIB', 'ospfLsdbType'), (0, 'RFC1253-MIB', 'ospfLsdbLSID'), (0, 'RFC1253-MIB', 'ospfLsdbRouterId')) if mibBuilder.loadTexts: ospfLsdbEntry.setStatus('mandatory') ospf_lsdb_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 1), area_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbAreaId.setStatus('mandatory') ospf_lsdb_type = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('routerLink', 1), ('networkLink', 2), ('summaryLink', 3), ('asSummaryLink', 4), ('asExternalLink', 5)))).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbType.setStatus('mandatory') ospf_lsdb_lsid = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 3), ip_address()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbLSID.setStatus('mandatory') ospf_lsdb_router_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 4), router_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbRouterId.setStatus('mandatory') ospf_lsdb_sequence = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 5), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbSequence.setStatus('mandatory') ospf_lsdb_age = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 6), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbAge.setStatus('mandatory') ospf_lsdb_checksum = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbChecksum.setStatus('mandatory') ospf_lsdb_advertisement = mib_table_column((1, 3, 6, 1, 2, 1, 14, 4, 1, 8), octet_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfLsdbAdvertisement.setStatus('mandatory') ospf_area_range_table = mib_table((1, 3, 6, 1, 2, 1, 14, 5)) if mibBuilder.loadTexts: ospfAreaRangeTable.setStatus('mandatory') ospf_area_range_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 5, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfAreaRangeAreaID'), (0, 'RFC1253-MIB', 'ospfAreaRangeNet')) if mibBuilder.loadTexts: ospfAreaRangeEntry.setStatus('mandatory') ospf_area_range_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 5, 1, 1), area_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAreaRangeAreaID.setStatus('mandatory') ospf_area_range_net = mib_table_column((1, 3, 6, 1, 2, 1, 14, 5, 1, 2), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAreaRangeNet.setStatus('mandatory') ospf_area_range_mask = mib_table_column((1, 3, 6, 1, 2, 1, 14, 5, 1, 3), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAreaRangeMask.setStatus('mandatory') ospf_area_range_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 5, 1, 4), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAreaRangeStatus.setStatus('mandatory') ospf_host_table = mib_table((1, 3, 6, 1, 2, 1, 14, 6)) if mibBuilder.loadTexts: ospfHostTable.setStatus('mandatory') ospf_host_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 6, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfHostIpAddress'), (0, 'RFC1253-MIB', 'ospfHostTOS')) if mibBuilder.loadTexts: ospfHostEntry.setStatus('mandatory') ospf_host_ip_address = mib_table_column((1, 3, 6, 1, 2, 1, 14, 6, 1, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfHostIpAddress.setStatus('mandatory') ospf_host_tos = mib_table_column((1, 3, 6, 1, 2, 1, 14, 6, 1, 2), tos_type()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfHostTOS.setStatus('mandatory') ospf_host_metric = mib_table_column((1, 3, 6, 1, 2, 1, 14, 6, 1, 3), metric()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfHostMetric.setStatus('mandatory') ospf_host_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 6, 1, 4), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfHostStatus.setStatus('mandatory') ospf_if_table = mib_table((1, 3, 6, 1, 2, 1, 14, 7)) if mibBuilder.loadTexts: ospfIfTable.setStatus('mandatory') ospf_if_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 7, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfIfIpAddress'), (0, 'RFC1253-MIB', 'ospfAddressLessIf')) if mibBuilder.loadTexts: ospfIfEntry.setStatus('mandatory') ospf_if_ip_address = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfIpAddress.setStatus('mandatory') ospf_address_less_if = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 2), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfAddressLessIf.setStatus('mandatory') ospf_if_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 3), area_id().clone(hexValue='00000000')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfAreaId.setStatus('mandatory') ospf_if_type = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('broadcast', 1), ('nbma', 2), ('pointToPoint', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfType.setStatus('mandatory') ospf_if_admin_stat = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 5), status().clone('enabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfAdminStat.setStatus('mandatory') ospf_if_rtr_priority = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 6), designated_router_priority().clone(1)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfRtrPriority.setStatus('mandatory') ospf_if_transit_delay = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 7), up_to_max_age().clone(1)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfTransitDelay.setStatus('mandatory') ospf_if_retrans_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 8), up_to_max_age().clone(5)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfRetransInterval.setStatus('mandatory') ospf_if_hello_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 9), hello_range().clone(10)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfHelloInterval.setStatus('mandatory') ospf_if_rtr_dead_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 10), positive_integer().clone(40)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfRtrDeadInterval.setStatus('mandatory') ospf_if_poll_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 11), positive_integer().clone(120)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfPollInterval.setStatus('mandatory') ospf_if_state = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=named_values(('down', 1), ('loopback', 2), ('waiting', 3), ('pointToPoint', 4), ('designatedRouter', 5), ('backupDesignatedRouter', 6), ('otherDesignatedRouter', 7))).clone('down')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfIfState.setStatus('mandatory') ospf_if_designated_router = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 13), ip_address().clone(hexValue='00000000')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfIfDesignatedRouter.setStatus('mandatory') ospf_if_backup_designated_router = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 14), ip_address().clone(hexValue='00000000')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfIfBackupDesignatedRouter.setStatus('mandatory') ospf_if_events = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 15), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfIfEvents.setStatus('mandatory') ospf_if_auth_key = mib_table_column((1, 3, 6, 1, 2, 1, 14, 7, 1, 16), octet_string().clone(hexValue='0000000000000000')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfAuthKey.setStatus('mandatory') ospf_if_metric_table = mib_table((1, 3, 6, 1, 2, 1, 14, 8)) if mibBuilder.loadTexts: ospfIfMetricTable.setStatus('mandatory') ospf_if_metric_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 8, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfIfMetricIpAddress'), (0, 'RFC1253-MIB', 'ospfIfMetricAddressLessIf'), (0, 'RFC1253-MIB', 'ospfIfMetricTOS')) if mibBuilder.loadTexts: ospfIfMetricEntry.setStatus('mandatory') ospf_if_metric_ip_address = mib_table_column((1, 3, 6, 1, 2, 1, 14, 8, 1, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfMetricIpAddress.setStatus('mandatory') ospf_if_metric_address_less_if = mib_table_column((1, 3, 6, 1, 2, 1, 14, 8, 1, 2), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfMetricAddressLessIf.setStatus('mandatory') ospf_if_metric_tos = mib_table_column((1, 3, 6, 1, 2, 1, 14, 8, 1, 3), tos_type()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfMetricTOS.setStatus('mandatory') ospf_if_metric_metric = mib_table_column((1, 3, 6, 1, 2, 1, 14, 8, 1, 4), metric()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfMetricMetric.setStatus('mandatory') ospf_if_metric_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 8, 1, 5), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfIfMetricStatus.setStatus('mandatory') ospf_virt_if_table = mib_table((1, 3, 6, 1, 2, 1, 14, 9)) if mibBuilder.loadTexts: ospfVirtIfTable.setStatus('mandatory') ospf_virt_if_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 9, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfVirtIfAreaID'), (0, 'RFC1253-MIB', 'ospfVirtIfNeighbor')) if mibBuilder.loadTexts: ospfVirtIfEntry.setStatus('mandatory') ospf_virt_if_area_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 1), area_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfAreaID.setStatus('mandatory') ospf_virt_if_neighbor = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 2), router_id()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfNeighbor.setStatus('mandatory') ospf_virt_if_transit_delay = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 3), up_to_max_age().clone(1)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfTransitDelay.setStatus('mandatory') ospf_virt_if_retrans_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 4), up_to_max_age().clone(5)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfRetransInterval.setStatus('mandatory') ospf_virt_if_hello_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 5), hello_range().clone(10)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfHelloInterval.setStatus('mandatory') ospf_virt_if_rtr_dead_interval = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 6), positive_integer().clone(60)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfRtrDeadInterval.setStatus('mandatory') ospf_virt_if_state = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 4))).clone(namedValues=named_values(('down', 1), ('pointToPoint', 4))).clone('down')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtIfState.setStatus('mandatory') ospf_virt_if_events = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtIfEvents.setStatus('mandatory') ospf_virt_if_auth_key = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 9), octet_string().clone(hexValue='0000000000000000')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfAuthKey.setStatus('mandatory') ospf_virt_if_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 9, 1, 10), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfVirtIfStatus.setStatus('mandatory') ospf_nbr_table = mib_table((1, 3, 6, 1, 2, 1, 14, 10)) if mibBuilder.loadTexts: ospfNbrTable.setStatus('mandatory') ospf_nbr_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 10, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfNbrIpAddr'), (0, 'RFC1253-MIB', 'ospfNbrAddressLessIndex')) if mibBuilder.loadTexts: ospfNbrEntry.setStatus('mandatory') ospf_nbr_ip_addr = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 1), ip_address()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfNbrIpAddr.setStatus('mandatory') ospf_nbr_address_less_index = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 2), interface_index()).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfNbrAddressLessIndex.setStatus('mandatory') ospf_nbr_rtr_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 3), router_id().clone(hexValue='00000000')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfNbrRtrId.setStatus('mandatory') ospf_nbr_options = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfNbrOptions.setStatus('mandatory') ospf_nbr_priority = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 5), designated_router_priority().clone(1)).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfNbrPriority.setStatus('mandatory') ospf_nbr_state = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=named_values(('down', 1), ('attempt', 2), ('init', 3), ('twoWay', 4), ('exchangeStart', 5), ('exchange', 6), ('loading', 7), ('full', 8))).clone('down')).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfNbrState.setStatus('mandatory') ospf_nbr_events = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfNbrEvents.setStatus('mandatory') ospf_nbr_ls_retrans_q_len = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 8), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfNbrLSRetransQLen.setStatus('mandatory') ospf_nbma_nbr_status = mib_table_column((1, 3, 6, 1, 2, 1, 14, 10, 1, 9), validation().clone('valid')).setMaxAccess('readwrite') if mibBuilder.loadTexts: ospfNBMANbrStatus.setStatus('mandatory') ospf_virt_nbr_table = mib_table((1, 3, 6, 1, 2, 1, 14, 11)) if mibBuilder.loadTexts: ospfVirtNbrTable.setStatus('mandatory') ospf_virt_nbr_entry = mib_table_row((1, 3, 6, 1, 2, 1, 14, 11, 1)).setIndexNames((0, 'RFC1253-MIB', 'ospfVirtNbrArea'), (0, 'RFC1253-MIB', 'ospfVirtNbrRtrId')) if mibBuilder.loadTexts: ospfVirtNbrEntry.setStatus('mandatory') ospf_virt_nbr_area = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 1), area_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrArea.setStatus('mandatory') ospf_virt_nbr_rtr_id = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 2), router_id()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrRtrId.setStatus('mandatory') ospf_virt_nbr_ip_addr = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 3), ip_address()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrIpAddr.setStatus('mandatory') ospf_virt_nbr_options = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrOptions.setStatus('mandatory') ospf_virt_nbr_state = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=named_values(('down', 1), ('attempt', 2), ('init', 3), ('twoWay', 4), ('exchangeStart', 5), ('exchange', 6), ('loading', 7), ('full', 8)))).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrState.setStatus('mandatory') ospf_virt_nbr_events = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrEvents.setStatus('mandatory') ospf_virt_nbr_ls_retrans_q_len = mib_table_column((1, 3, 6, 1, 2, 1, 14, 11, 1, 7), gauge32()).setMaxAccess('readonly') if mibBuilder.loadTexts: ospfVirtNbrLSRetransQLen.setStatus('mandatory') mibBuilder.exportSymbols('RFC1253-MIB', DesignatedRouterPriority=DesignatedRouterPriority, ospfLsdbTable=ospfLsdbTable, ospfSpfRuns=ospfSpfRuns, ospfIfMetricIpAddress=ospfIfMetricIpAddress, ospfIfTransitDelay=ospfIfTransitDelay, ospfAdminStat=ospfAdminStat, ospfVirtIfRtrDeadInterval=ospfVirtIfRtrDeadInterval, ospfStubAreaTable=ospfStubAreaTable, ospfAuthType=ospfAuthType, ospfIfEvents=ospfIfEvents, PositiveInteger=PositiveInteger, ospfVirtNbrState=ospfVirtNbrState, ospfHostTOS=ospfHostTOS, ospfAreaRangeMask=ospfAreaRangeMask, ospfIfIpAddress=ospfIfIpAddress, ospfIfState=ospfIfState, TruthValue=TruthValue, ospfNbrEntry=ospfNbrEntry, ospfNbrTable=ospfNbrTable, ospfIfMetricEntry=ospfIfMetricEntry, ospfRouterId=ospfRouterId, ospfIfMetricMetric=ospfIfMetricMetric, ospfVirtIfNeighbor=ospfVirtIfNeighbor, ospfIfHelloInterval=ospfIfHelloInterval, ospfVirtNbrEntry=ospfVirtNbrEntry, Status=Status, ospfStubMetric=ospfStubMetric, ospfOriginateNewLSAs=ospfOriginateNewLSAs, ospfAreaRangeEntry=ospfAreaRangeEntry, ospfVirtIfRetransInterval=ospfVirtIfRetransInterval, ospfNBMANbrStatus=ospfNBMANbrStatus, AreaID=AreaID, InterfaceIndex=InterfaceIndex, ospfIfRetransInterval=ospfIfRetransInterval, ospfASBdrRtrStatus=ospfASBdrRtrStatus, ospfNbrIpAddr=ospfNbrIpAddr, ospfNbrOptions=ospfNbrOptions, ospfIfMetricTOS=ospfIfMetricTOS, ospfIfRtrPriority=ospfIfRtrPriority, ospfStubStatus=ospfStubStatus, ospfVirtNbrEvents=ospfVirtNbrEvents, Metric=Metric, ospfAreaId=ospfAreaId, ospfExternLSACksumSum=ospfExternLSACksumSum, ospfIfType=ospfIfType, ospfIfDesignatedRouter=ospfIfDesignatedRouter, ospfIfMetricStatus=ospfIfMetricStatus, ospfNbrEvents=ospfNbrEvents, ospfIfMetricAddressLessIf=ospfIfMetricAddressLessIf, ospfVirtIfHelloInterval=ospfVirtIfHelloInterval, ospfAreaTable=ospfAreaTable, ospfHostTable=ospfHostTable, ospfIfTable=ospfIfTable, ospfVirtIfTransitDelay=ospfVirtIfTransitDelay, ospfLsdbAdvertisement=ospfLsdbAdvertisement, ospfVirtNbrArea=ospfVirtNbrArea, ospfAreaLSACount=ospfAreaLSACount, ospfHostIpAddress=ospfHostIpAddress, ospfIfMetricTable=ospfIfMetricTable, ospfVirtIfTable=ospfVirtIfTable, ospfNbrAddressLessIndex=ospfNbrAddressLessIndex, ospfLsdbAreaId=ospfLsdbAreaId, ospfLsdbLSID=ospfLsdbLSID, ospfAreaLSACksumSum=ospfAreaLSACksumSum, ospfAreaEntry=ospfAreaEntry, ospfVirtIfState=ospfVirtIfState, ospfTOSSupport=ospfTOSSupport, ospfGeneralGroup=ospfGeneralGroup, HelloRange=HelloRange, ospfStubAreaEntry=ospfStubAreaEntry, ospfHostMetric=ospfHostMetric, ospfNbrLSRetransQLen=ospfNbrLSRetransQLen, RouterID=RouterID, ospfNbrRtrId=ospfNbrRtrId, ospf=ospf, ospfAreaBdrRtrCount=ospfAreaBdrRtrCount, ospfAreaBdrRtrStatus=ospfAreaBdrRtrStatus, ospfVirtIfEvents=ospfVirtIfEvents, ospfHostStatus=ospfHostStatus, ospfVirtNbrRtrId=ospfVirtNbrRtrId, ospfVirtNbrOptions=ospfVirtNbrOptions, ospfLsdbSequence=ospfLsdbSequence, BigMetric=BigMetric, ospfAreaRangeStatus=ospfAreaRangeStatus, ospfAreaRangeNet=ospfAreaRangeNet, ospfVirtNbrLSRetransQLen=ospfVirtNbrLSRetransQLen, ospfVirtNbrIpAddr=ospfVirtNbrIpAddr, ospfIfAuthKey=ospfIfAuthKey, ospfRxNewLSAs=ospfRxNewLSAs, ospfIfAdminStat=ospfIfAdminStat, ospfLsdbType=ospfLsdbType, ospfExternLSACount=ospfExternLSACount, ospfAreaRangeTable=ospfAreaRangeTable, ospfIfAreaId=ospfIfAreaId, UpToMaxAge=UpToMaxAge, ospfHostEntry=ospfHostEntry, ospfASBdrRtrCount=ospfASBdrRtrCount, ospfVersionNumber=ospfVersionNumber, ospfStubAreaID=ospfStubAreaID, ospfLsdbChecksum=ospfLsdbChecksum, ospfVirtIfEntry=ospfVirtIfEntry, ospfAddressLessIf=ospfAddressLessIf, ospfAreaRangeAreaID=ospfAreaRangeAreaID, ospfIfBackupDesignatedRouter=ospfIfBackupDesignatedRouter, ospfLsdbAge=ospfLsdbAge, ospfLsdbEntry=ospfLsdbEntry, ospfIfPollInterval=ospfIfPollInterval, ospfVirtIfAreaID=ospfVirtIfAreaID, ospfVirtNbrTable=ospfVirtNbrTable, ospfNbrState=ospfNbrState, ospfIfEntry=ospfIfEntry, TOSType=TOSType, ospfImportASExtern=ospfImportASExtern, ospfVirtIfAuthKey=ospfVirtIfAuthKey, ospfVirtIfStatus=ospfVirtIfStatus, ospfLsdbRouterId=ospfLsdbRouterId, Validation=Validation, ospfIfRtrDeadInterval=ospfIfRtrDeadInterval, ospfNbrPriority=ospfNbrPriority, ospfStubTOS=ospfStubTOS)
# -*- coding: utf-8 -*- #+---------------------------------------------------------------------------+ #| This file is subject to the terms and conditions defined in file | #| 'LICENSE.txt', which is part of this source code package. | #| | #|---------------------------------------------------------------------------| #| Copyright (c) 2017 Liang ZOU and contributors | #| See the full list at https://github.com/liangdzou/pycall/contributors | #| | #|---------------------------------------------------------------------------| #| test.py -- a test program that uses pycall | #| | #| Author: Liang, ZOU | #| | #| Purpose: Show how to use pycall | #| | #+---------------------------------------------------------------------------+ def testFunc(message): print("Python: python function testFunc is executed!") print("Python: The message is \"", message, "\"") result = 2017 print("Python: The result should be \"", result, "\"") return result
def test_func(message): print('Python: python function testFunc is executed!') print('Python: The message is "', message, '"') result = 2017 print('Python: The result should be "', result, '"') return result
# MIT OC - CS600 - Introduction to Computer Science and Programming # Problem Set 1: 3 Simple Problems - Problem 1 Min Payment # Name: Luke Young # Collaborators: None # Time Spent: 01:00 (hr:min) # 2018 04 21 00:20 # Program: Finding remaining balance after minimum payment # # Write a program that does the following: # Use raw_input() to ask for the following three floating point numbers: # 1. the outstanding balance on the credit card # 2. annual interest rate # 3. minimum monthly payment rate # # For each month, print the minimum monthly payment, remaining balance, # principle paid in the format shown in the test cases below. # All numbers should be rounded to the nearest penny. Finally, print the result, # which should include the total amount paid that year and the remaining balance. balance = 0.0 apr = 0.0 minRate = 0.0 balance = float(raw_input("What is your current Balance? ")) apr = float(raw_input("What is the annual interest rate as a decimal? ")) minRate = float(raw_input("What is the minimum payment rate as a decimal? ")) minPay = 0.0 principle = 0.0 payTotal = 0.0 # main algorithm for month in range(1, 13): #runs 12 times print("Month: " + str(month)) minPay = round((balance * minRate), 2) principle = round((minPay - (apr / 12 * balance)), 2) balance = round((balance - principle), 2) payTotal += round(minPay, 2) print("Minimum monthly payment: " + str(minPay)) print("Principle paid: " + str(principle)) print("Remaining balance: " + str(balance)) # end for loop # print results print("RESULT") print("Total amount paid: " + str(payTotal)) print("Remaining balance: " + str(balance))
balance = 0.0 apr = 0.0 min_rate = 0.0 balance = float(raw_input('What is your current Balance? ')) apr = float(raw_input('What is the annual interest rate as a decimal? ')) min_rate = float(raw_input('What is the minimum payment rate as a decimal? ')) min_pay = 0.0 principle = 0.0 pay_total = 0.0 for month in range(1, 13): print('Month: ' + str(month)) min_pay = round(balance * minRate, 2) principle = round(minPay - apr / 12 * balance, 2) balance = round(balance - principle, 2) pay_total += round(minPay, 2) print('Minimum monthly payment: ' + str(minPay)) print('Principle paid: ' + str(principle)) print('Remaining balance: ' + str(balance)) print('RESULT') print('Total amount paid: ' + str(payTotal)) print('Remaining balance: ' + str(balance))
# -*- coding: utf-8 -*- """ plugin ~~~~ plugin manager and plugin api :copyright: (c) 2017 by Baidu, Inc. :license: Apache, see LICENSE for more details. """
""" plugin ~~~~ plugin manager and plugin api :copyright: (c) 2017 by Baidu, Inc. :license: Apache, see LICENSE for more details. """
getInvoiceTopLevelItems = [ { 'categoryCode': 'sov_sec_ip_addresses_priv', 'createDate': '2018-04-04T23:15:20-06:00', 'description': '64 Portable Private IP Addresses', 'id': 724951323, 'oneTimeAfterTaxAmount': '0', 'recurringAfterTaxAmount': '0', 'hostName': 'bleg', 'domainName': 'beh.com', 'category': {'name': 'Private (only) Secondary VLAN IP Addresses'}, 'children': [ { 'id': 12345, 'category': {'name': 'Fake Child Category'}, 'description': 'Blah', 'oneTimeAfterTaxAmount': 55.50, 'recurringAfterTaxAmount': 0.10 } ], 'location': {'name': 'fra02'} } ]
get_invoice_top_level_items = [{'categoryCode': 'sov_sec_ip_addresses_priv', 'createDate': '2018-04-04T23:15:20-06:00', 'description': '64 Portable Private IP Addresses', 'id': 724951323, 'oneTimeAfterTaxAmount': '0', 'recurringAfterTaxAmount': '0', 'hostName': 'bleg', 'domainName': 'beh.com', 'category': {'name': 'Private (only) Secondary VLAN IP Addresses'}, 'children': [{'id': 12345, 'category': {'name': 'Fake Child Category'}, 'description': 'Blah', 'oneTimeAfterTaxAmount': 55.5, 'recurringAfterTaxAmount': 0.1}], 'location': {'name': 'fra02'}}]
#!/usr/bin/env python3 #this program will write out my full name and preferred pronouns print("Fabian Arias, he/him/his") #print out Fabian Arias, he/him/his
print('Fabian Arias, he/him/his')
class DSF_SIC_Map(object): """docstring for SIC_Map""" def __init__(self, dsffile = 'crsp/dsf.csv', sicfile = 'sic_codes.txt'): self.dsf = pd.read_csv("dsf.csv", dtype = {'CUSIP': np.str, 'PRC': np.float}, na_values = {'PRC': '-'}) self.sic = pd.read_table(sicfile, header = 1) self.sic.columns = ['HSICCD', 'SICNAME'] def process(self, day = 20100101, columns = ['PERMNO', 'DATE', 'PRC', 'VOL', 'SHROUT', 'RET', 'HSICCD']): self.dsf_startdate(date = day) self.dsf_subset(to_keep = columns) self.sic_merge() def dsf_startdate(self, date = 20100101): self.dsf = self.dsf[self.dsf.DATE >= date] def dsf_subset(self, to_keep = ['PERMNO', 'DATE', 'PRC', 'VOL', 'SHROUT', 'RET', 'HSICCD']): self.dsf = self.dsf[to_keep] def sic_merge(self): self.clean_dsf = self.dsf.merge(self.sic, how = "left")
class Dsf_Sic_Map(object): """docstring for SIC_Map""" def __init__(self, dsffile='crsp/dsf.csv', sicfile='sic_codes.txt'): self.dsf = pd.read_csv('dsf.csv', dtype={'CUSIP': np.str, 'PRC': np.float}, na_values={'PRC': '-'}) self.sic = pd.read_table(sicfile, header=1) self.sic.columns = ['HSICCD', 'SICNAME'] def process(self, day=20100101, columns=['PERMNO', 'DATE', 'PRC', 'VOL', 'SHROUT', 'RET', 'HSICCD']): self.dsf_startdate(date=day) self.dsf_subset(to_keep=columns) self.sic_merge() def dsf_startdate(self, date=20100101): self.dsf = self.dsf[self.dsf.DATE >= date] def dsf_subset(self, to_keep=['PERMNO', 'DATE', 'PRC', 'VOL', 'SHROUT', 'RET', 'HSICCD']): self.dsf = self.dsf[to_keep] def sic_merge(self): self.clean_dsf = self.dsf.merge(self.sic, how='left')
class Serial: def __init__(self, port=None, baudrate=None, timeout=None): pass def reset_output_buffer(self): pass def reset_input_buffer(self): pass def writable(self): return True def write(self, bytes): pass def flush(self): pass def readline(self): return b"DONE\r\n"
class Serial: def __init__(self, port=None, baudrate=None, timeout=None): pass def reset_output_buffer(self): pass def reset_input_buffer(self): pass def writable(self): return True def write(self, bytes): pass def flush(self): pass def readline(self): return b'DONE\r\n'
""" Python2-specific versions of various functions used by stomp.py """ NULL = '\x00' def input_prompt(prompt): """ Get user input :rtype: str """ return raw_input(prompt) def decode(byte_data, encoding=''): """ Decode the byte data to a string - in the case of this Py2 version, we can't really do anything (Py3 differs). :param bytes byte_data: :rtype: str """ return byte_data # no way to know if it's unicode or not, so just pass through unmolested def encode(char_data, encoding='utf-8'): """ Encode the parameter as a byte string. :param char_data: :rtype: bytes """ if type(char_data) is unicode: return char_data.encode(encoding, 'replace') else: return char_data def pack(pieces=()): """ Join a sequence of strings together (note: py3 version differs) :param list pieces: :rtype: bytes """ return ''.join(pieces) def join(chars=()): """ Join a sequence of characters into a string. :param bytes chars: :rtype str: """ return ''.join(chars)
""" Python2-specific versions of various functions used by stomp.py """ null = '\x00' def input_prompt(prompt): """ Get user input :rtype: str """ return raw_input(prompt) def decode(byte_data, encoding=''): """ Decode the byte data to a string - in the case of this Py2 version, we can't really do anything (Py3 differs). :param bytes byte_data: :rtype: str """ return byte_data def encode(char_data, encoding='utf-8'): """ Encode the parameter as a byte string. :param char_data: :rtype: bytes """ if type(char_data) is unicode: return char_data.encode(encoding, 'replace') else: return char_data def pack(pieces=()): """ Join a sequence of strings together (note: py3 version differs) :param list pieces: :rtype: bytes """ return ''.join(pieces) def join(chars=()): """ Join a sequence of characters into a string. :param bytes chars: :rtype str: """ return ''.join(chars)
"""CIS 122 Winter 2018 Week 1 Problem set #1-3 Author: Jamie Thayer Credit: Just me, Jamie Thayer. Referenced https://docs.python.org/3/library/ to check function names Description: Introduction to programming Week-1 problem set. Use of Python numeric data types and operations to solve a variety of small problems.""" """Problem 1. Attempting to buy some t-shirts""" print ('---Problem 1. The cost of green dye seems to have gone up') print () cost_green = 15 cost_yellow = 10 ttl_shirts = 128 ttl_green = ttl_shirts // 2 #Bug: Division not rounding. '//' was needed to round result to a whole interger ttl_yellow = ttl_shirts - ttl_green ttl_green_cost = ttl_green * cost_green ttl_yellow_cost = ttl_yellow * cost_yellow ttl_cost = ttl_yellow_cost + ttl_green_cost print ('Total Cost: ' + str(ttl_cost)) print () print () """Used str() to print ttl_cost alongside 'Total Cost: ' to make a nicer display. Also used a couple blank print() lines for the same purpose""" """Problem 2. The Skill to counting Skittles""" print ('---Problem 2. The Skill to counting Skittles') print () orange = 7 #If one were to find they had only 6 orange skittles, they would just need to change this line green = orange * 3 purple = orange + green red = purple / 2 yellow = 100 - orange - green - purple - red #Declaration of variables, including initial orange skittle count candy_total = orange + green + purple + red + yellow """Candy total inserted to check the consistancy of my program with various numbers of orange skittles. This value should always be 100 as long as the program is functioning properly.""" print ('Orange Skittle Count: ' + str(orange)) print (' Green Skittle Count: ' + str(green)) print ('Purple Skittle Count: ' + str(purple)) print (' Red Skittle Count: ' + str(int(red))) print ('Yellow Skittle Count: ' + str(int(yellow))) print (' Total Candy Count: ' + str(int(candy_total))) print () print () """Spaces inserted to align numbers for a better display. Attempted .center, .rjust, and format() in numerous ways but couldn't get it to work properly. --- str() and int() have been inserted as a way to print the number alongside text and without the floating zero""" """Problem 3. Because 3.154e+7 seconds in a year wasn't catchy enough""" print ('---Problem 3. Because 31536000 seconds wasn\'t catchy enough') print () song_number = 525600 #Making sure this number is actually the number of minutes in a year days_inYear = 365 hours_inDay = 24 minutes_inHour = 60 seconds_inMinute = 60 #various known time convertions minutes_inYear = days_inYear * hours_inDay * minutes_inHour seconds_inYear = days_inYear * hours_inDay * minutes_inHour * seconds_inMinute #declaring variables with math operators combining previous known variables print (' Number referenced in the song: ' + str(song_number)) print ('Minutes in a year calculated with Python: ' + str(minutes_inYear)) print () #Simply printing the original song number and the combined variable minutes_inYear to check consistancy print ('Seconds in a year, simply because I was curious: ' + str(seconds_inYear)) print () #Printed seconds_inYear because I have the power to now, and I was curious
"""CIS 122 Winter 2018 Week 1 Problem set #1-3 Author: Jamie Thayer Credit: Just me, Jamie Thayer. Referenced https://docs.python.org/3/library/ to check function names Description: Introduction to programming Week-1 problem set. Use of Python numeric data types and operations to solve a variety of small problems.""" 'Problem 1. Attempting to buy some t-shirts' print('---Problem 1. The cost of green dye seems to have gone up') print() cost_green = 15 cost_yellow = 10 ttl_shirts = 128 ttl_green = ttl_shirts // 2 ttl_yellow = ttl_shirts - ttl_green ttl_green_cost = ttl_green * cost_green ttl_yellow_cost = ttl_yellow * cost_yellow ttl_cost = ttl_yellow_cost + ttl_green_cost print('Total Cost: ' + str(ttl_cost)) print() print() "Used str() to print ttl_cost alongside 'Total Cost: ' to make a nicer display. Also used a\ncouple blank print() lines for the same purpose" 'Problem 2. The Skill to counting Skittles' print('---Problem 2. The Skill to counting Skittles') print() orange = 7 green = orange * 3 purple = orange + green red = purple / 2 yellow = 100 - orange - green - purple - red candy_total = orange + green + purple + red + yellow 'Candy total inserted to check the consistancy of my program with various numbers of orange skittles.\nThis value should always be 100 as long as the program is functioning properly.' print('Orange Skittle Count: ' + str(orange)) print(' Green Skittle Count: ' + str(green)) print('Purple Skittle Count: ' + str(purple)) print(' Red Skittle Count: ' + str(int(red))) print('Yellow Skittle Count: ' + str(int(yellow))) print(' Total Candy Count: ' + str(int(candy_total))) print() print() "Spaces inserted to align numbers for a better display. Attempted .center, .rjust, and format()\nin numerous ways but couldn't get it to work properly. --- str() and int() have been inserted as a way to\nprint the number alongside text and without the floating zero" "Problem 3. Because 3.154e+7 seconds in a year wasn't catchy enough" print("---Problem 3. Because 31536000 seconds wasn't catchy enough") print() song_number = 525600 days_in_year = 365 hours_in_day = 24 minutes_in_hour = 60 seconds_in_minute = 60 minutes_in_year = days_inYear * hours_inDay * minutes_inHour seconds_in_year = days_inYear * hours_inDay * minutes_inHour * seconds_inMinute print(' Number referenced in the song: ' + str(song_number)) print('Minutes in a year calculated with Python: ' + str(minutes_inYear)) print() print('Seconds in a year, simply because I was curious: ' + str(seconds_inYear)) print()
def is_even(x): if (x % 2 == 0): return True return False print([x for x in range(100) if is_even(x)])
def is_even(x): if x % 2 == 0: return True return False print([x for x in range(100) if is_even(x)])
# terrascript/data/AdrienneCohea/nomadutility.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:22:45 UTC) __all__ = []
__all__ = []
# Este es el ejercicio del grupo tercero c # del dia 13 de septiembre de 2021 # esta linea coloca un mensaje en la consola print("Este programa hace operaciones basicas") num1 = 130 numero_2 = 345 suma = num1 + numero_2 # la resta se hace con el simbolo '-' multip = num1 * numero_2 # la dicision se hace con una '/' print("la suma es: ") print(suma) print("La multiplicacion da como resultado: ", multip)
print('Este programa hace operaciones basicas') num1 = 130 numero_2 = 345 suma = num1 + numero_2 multip = num1 * numero_2 print('la suma es: ') print(suma) print('La multiplicacion da como resultado: ', multip)
score = input('Please enter your score.') score_float = float(score) if (score_float >= 0.9 and score_float < 1.0) : grade = 'A' elif (score_float >= 0.8 and score_float < 1.0) : grade = 'B' elif (score_float >= 0.7 and score_float < 1.0) : grade = 'C' elif (score_float >= 0.6 and score_float < 1.0) : grade = 'D' elif (score_float < 0.6 and score_float > 0.0) : grade = 'F' else: grade = 'Error' print(grade)
score = input('Please enter your score.') score_float = float(score) if score_float >= 0.9 and score_float < 1.0: grade = 'A' elif score_float >= 0.8 and score_float < 1.0: grade = 'B' elif score_float >= 0.7 and score_float < 1.0: grade = 'C' elif score_float >= 0.6 and score_float < 1.0: grade = 'D' elif score_float < 0.6 and score_float > 0.0: grade = 'F' else: grade = 'Error' print(grade)
#!/usr/bin/env python3 # -*- coding: utf-8 -*- assert any(list(map(lambda x: x > 4, range(8)))) assert any(map(lambda x: x > 4, range(8))) assert not any(list(map(lambda x: x < 0, range(8)))) assert not any((map(lambda x: x < 0, range(8))))
assert any(list(map(lambda x: x > 4, range(8)))) assert any(map(lambda x: x > 4, range(8))) assert not any(list(map(lambda x: x < 0, range(8)))) assert not any(map(lambda x: x < 0, range(8)))
class User: ''' This class generates new user instances ''' def __init__(self, fullname, email, username, password): self.fullname = fullname self.email = email self.username = username self.password = password user_list = [] def save_user(self): ''' This method saves new created user objects into user list ''' User.user_list.append(self) @classmethod def user_exists(cls, username): ''' Checks if the user exists in the user list. Args: username:username to search if the user already exists and returns a boolean, True or False. ''' for user in cls.user_list: if user.username == username: return True else: return False @classmethod def find_by_username(cls, username): ''' Finds a user depending on if the user already exists ''' for user in cls.user_list: if user.username == username: return user else: return 0
class User: """ This class generates new user instances """ def __init__(self, fullname, email, username, password): self.fullname = fullname self.email = email self.username = username self.password = password user_list = [] def save_user(self): """ This method saves new created user objects into user list """ User.user_list.append(self) @classmethod def user_exists(cls, username): """ Checks if the user exists in the user list. Args: username:username to search if the user already exists and returns a boolean, True or False. """ for user in cls.user_list: if user.username == username: return True else: return False @classmethod def find_by_username(cls, username): """ Finds a user depending on if the user already exists """ for user in cls.user_list: if user.username == username: return user else: return 0
class Solution(object): def numDistinct(self, s, t): """ :type s: str :type t: str :rtype: int """ dp = [[0 for j in range(len(t) + 1)] for i in range(len(s) + 1)] for i in range(len(s) + 1): dp[i][0] = 1 for i in range(1, len(s) + 1): for j in range(1, len(t) + 1): dp[i][j] = dp[i - 1][j] + (dp[i - 1][j - 1] if s[i - 1] == t[j - 1] else 0) return dp[-1][-1]
class Solution(object): def num_distinct(self, s, t): """ :type s: str :type t: str :rtype: int """ dp = [[0 for j in range(len(t) + 1)] for i in range(len(s) + 1)] for i in range(len(s) + 1): dp[i][0] = 1 for i in range(1, len(s) + 1): for j in range(1, len(t) + 1): dp[i][j] = dp[i - 1][j] + (dp[i - 1][j - 1] if s[i - 1] == t[j - 1] else 0) return dp[-1][-1]
class VehicleDevice: def __init__(self, data, controller): self._id = data['id'] self._vehicle_id = data['vehicle_id'] self._vin = data['vin'] self._state = data['state'] self._controller = controller self.should_poll = True def _name(self): return 'Tesla Model {} {}'.format( str(self._vin[3]).upper(), self.type) def _uniq_name(self): return 'Tesla Model {} {} {}'.format( str(self._vin[3]).upper(), self._vin, self.type) def id(self): return self._id @staticmethod def is_armable(): return False @staticmethod def is_armed(): return False
class Vehicledevice: def __init__(self, data, controller): self._id = data['id'] self._vehicle_id = data['vehicle_id'] self._vin = data['vin'] self._state = data['state'] self._controller = controller self.should_poll = True def _name(self): return 'Tesla Model {} {}'.format(str(self._vin[3]).upper(), self.type) def _uniq_name(self): return 'Tesla Model {} {} {}'.format(str(self._vin[3]).upper(), self._vin, self.type) def id(self): return self._id @staticmethod def is_armable(): return False @staticmethod def is_armed(): return False
#======================================================================================= # Open a domain template. #======================================================================================= selectCustomTemplate("wls/wlserver/common/templates/wls/wls.jar") loadTemplates() setOption('NodeManagerType','ManualNodeManagerSetup') setOption('ServerStartMode','prod') setOption('OverwriteDomain','true') domain=cd('/') domain.setName('demo-wls') #======================================================================================= # Configure the Administration Server and SSL port. # # To enable access by both local and remote processes, you should not set the # listen address for the server instance (that is, it should be left blank or not set). # In this case, the server instance will determine the address of the machine and # listen on it. #======================================================================================= cd('/Servers/AdminServer') cmo.setName('admin_server') cmo.setListenAddress('') cmo.setListenPort(7001) create('AdminServer','SSL') cd('SSL/AdminServer') cmo.setName('admin_server') cmo.setListenPort(8001) cmo.setEnabled(True) cd('/Security/demo-wls/User/weblogic') cmo.setPassword('admin123') domain.setProductionModeEnabled(True) writeDomain('domains/demo-wls') closeTemplate() # enable boot without password os.makedirs('domains/demo-wls/servers/admin_server/security') bootprops=open('domains/demo-wls/servers/admin_server/security/boot.properties','w') bootprops.write('username=%s\npassword=%s\n' % ('weblogic','admin123')) bootprops.close() exit()
select_custom_template('wls/wlserver/common/templates/wls/wls.jar') load_templates() set_option('NodeManagerType', 'ManualNodeManagerSetup') set_option('ServerStartMode', 'prod') set_option('OverwriteDomain', 'true') domain = cd('/') domain.setName('demo-wls') cd('/Servers/AdminServer') cmo.setName('admin_server') cmo.setListenAddress('') cmo.setListenPort(7001) create('AdminServer', 'SSL') cd('SSL/AdminServer') cmo.setName('admin_server') cmo.setListenPort(8001) cmo.setEnabled(True) cd('/Security/demo-wls/User/weblogic') cmo.setPassword('admin123') domain.setProductionModeEnabled(True) write_domain('domains/demo-wls') close_template() os.makedirs('domains/demo-wls/servers/admin_server/security') bootprops = open('domains/demo-wls/servers/admin_server/security/boot.properties', 'w') bootprops.write('username=%s\npassword=%s\n' % ('weblogic', 'admin123')) bootprops.close() exit()
def create_matrix(rows, columns): result = [] for r in range(rows): row = ["" for c in range(columns)] result.append(row) return result def print_result(matrix): for el in matrix: print("".join(el)) rows, columns = map(int, input().split()) snake = input() matrix = create_matrix(rows, columns) snake_index = 0 for r in range(rows): if r % 2 == 0: for c in range(columns): if snake_index == len(snake): snake_index = 0 matrix[r][c] = snake[snake_index] snake_index += 1 else: for c in range(columns - 1, -1, -1): if snake_index == len(snake): snake_index = 0 matrix[r][c] = snake[snake_index] snake_index += 1 print_result(matrix)
def create_matrix(rows, columns): result = [] for r in range(rows): row = ['' for c in range(columns)] result.append(row) return result def print_result(matrix): for el in matrix: print(''.join(el)) (rows, columns) = map(int, input().split()) snake = input() matrix = create_matrix(rows, columns) snake_index = 0 for r in range(rows): if r % 2 == 0: for c in range(columns): if snake_index == len(snake): snake_index = 0 matrix[r][c] = snake[snake_index] snake_index += 1 else: for c in range(columns - 1, -1, -1): if snake_index == len(snake): snake_index = 0 matrix[r][c] = snake[snake_index] snake_index += 1 print_result(matrix)
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- CONST_OUTBOUND_TYPE_LOAD_BALANCER = "loadBalancer" CONST_OUTBOUND_TYPE_USER_DEFINED_ROUTING = "userDefinedRouting" CONST_SCALE_SET_PRIORITY_REGULAR = "Regular" CONST_SCALE_SET_PRIORITY_SPOT = "Spot" CONST_SPOT_EVICTION_POLICY_DELETE = "Delete" CONST_SPOT_EVICTION_POLICY_DEALLOCATE = "Deallocate" CONST_HTTP_APPLICATION_ROUTING_ADDON_NAME = "httpApplicationRouting" CONST_MONITORING_ADDON_NAME = "omsagent" CONST_MONITORING_LOG_ANALYTICS_WORKSPACE_RESOURCE_ID = "logAnalyticsWorkspaceResourceID" CONST_VIRTUAL_NODE_ADDON_NAME = "aciConnector" CONST_VIRTUAL_NODE_SUBNET_NAME = "SubnetName" CONST_AZURE_POLICY_ADDON_NAME = "azurepolicy" CONST_KUBE_DASHBOARD_ADDON_NAME = "kubeDashboard" CONST_OS_DISK_TYPE_MANAGED = "Managed" CONST_OS_DISK_TYPE_EPHEMERAL = "Ephemeral" # IngressApplicaitonGateway configuration keys CONST_INGRESS_APPGW_ADDON_NAME = "IngressApplicationGateway" CONST_INGRESS_APPGW_APPLICATION_GATEWAY_NAME = "applicationGatewayName" CONST_INGRESS_APPGW_APPLICATION_GATEWAY_ID = "applicationGatewayId" CONST_INGRESS_APPGW_SUBNET_ID = "subnetId" CONST_INGRESS_APPGW_SUBNET_PREFIX = "subnetPrefix" CONST_INGRESS_APPGW_WATCH_NAMESPACE = "watchNamespace" # Open Service Mesh configuration keys CONST_OPEN_SERVICE_MESH_ADDON_NAME = "openServiceMesh" CONST_NODEPOOL_MODE_SYSTEM = "System" CONST_NODEPOOL_MODE_USER = "User" # refer https://docs.microsoft.com/en-us/rest/api/storageservices/ # naming-and-referencing-containers--blobs--and-metadata#container-names CONST_CONTAINER_NAME_MAX_LENGTH = 63 # confcom addon keys CONST_CONFCOM_ADDON_NAME = "ACCSGXDevicePlugin" CONST_ACC_SGX_QUOTE_HELPER_ENABLED = "ACCSGXQuoteHelperEnabled" # private dns zone mode CONST_PRIVATE_DNS_ZONE_SYSTEM = "system" CONST_PRIVATE_DNS_ZONE_NONE = "none" ADDONS = { 'http_application_routing': CONST_HTTP_APPLICATION_ROUTING_ADDON_NAME, 'monitoring': CONST_MONITORING_ADDON_NAME, 'virtual-node': CONST_VIRTUAL_NODE_ADDON_NAME, 'azure-policy': CONST_AZURE_POLICY_ADDON_NAME, 'kube-dashboard': CONST_KUBE_DASHBOARD_ADDON_NAME, 'ingress-appgw': CONST_INGRESS_APPGW_ADDON_NAME, 'open-service-mesh': CONST_OPEN_SERVICE_MESH_ADDON_NAME, "confcom": CONST_CONFCOM_ADDON_NAME, 'gitops': 'gitops' }
const_outbound_type_load_balancer = 'loadBalancer' const_outbound_type_user_defined_routing = 'userDefinedRouting' const_scale_set_priority_regular = 'Regular' const_scale_set_priority_spot = 'Spot' const_spot_eviction_policy_delete = 'Delete' const_spot_eviction_policy_deallocate = 'Deallocate' const_http_application_routing_addon_name = 'httpApplicationRouting' const_monitoring_addon_name = 'omsagent' const_monitoring_log_analytics_workspace_resource_id = 'logAnalyticsWorkspaceResourceID' const_virtual_node_addon_name = 'aciConnector' const_virtual_node_subnet_name = 'SubnetName' const_azure_policy_addon_name = 'azurepolicy' const_kube_dashboard_addon_name = 'kubeDashboard' const_os_disk_type_managed = 'Managed' const_os_disk_type_ephemeral = 'Ephemeral' const_ingress_appgw_addon_name = 'IngressApplicationGateway' const_ingress_appgw_application_gateway_name = 'applicationGatewayName' const_ingress_appgw_application_gateway_id = 'applicationGatewayId' const_ingress_appgw_subnet_id = 'subnetId' const_ingress_appgw_subnet_prefix = 'subnetPrefix' const_ingress_appgw_watch_namespace = 'watchNamespace' const_open_service_mesh_addon_name = 'openServiceMesh' const_nodepool_mode_system = 'System' const_nodepool_mode_user = 'User' const_container_name_max_length = 63 const_confcom_addon_name = 'ACCSGXDevicePlugin' const_acc_sgx_quote_helper_enabled = 'ACCSGXQuoteHelperEnabled' const_private_dns_zone_system = 'system' const_private_dns_zone_none = 'none' addons = {'http_application_routing': CONST_HTTP_APPLICATION_ROUTING_ADDON_NAME, 'monitoring': CONST_MONITORING_ADDON_NAME, 'virtual-node': CONST_VIRTUAL_NODE_ADDON_NAME, 'azure-policy': CONST_AZURE_POLICY_ADDON_NAME, 'kube-dashboard': CONST_KUBE_DASHBOARD_ADDON_NAME, 'ingress-appgw': CONST_INGRESS_APPGW_ADDON_NAME, 'open-service-mesh': CONST_OPEN_SERVICE_MESH_ADDON_NAME, 'confcom': CONST_CONFCOM_ADDON_NAME, 'gitops': 'gitops'}
""" Problem 11. Assume that two variables, varA and varB, are assigned values, either numbers or strings. Write a piece of Python code that prints out one of the following messages: * "string involved" if either varA or varB are strings * "bigger" if varA is larger than varB * "equal" if varA is equal to varB * "smaller" if varA is smaller than varB """ if type(varA) == str or type(varB) == str: print("string involved") elif varA > varB: print("bigger") elif varA == varB: print("equal") else: print("smaller")
""" Problem 11. Assume that two variables, varA and varB, are assigned values, either numbers or strings. Write a piece of Python code that prints out one of the following messages: * "string involved" if either varA or varB are strings * "bigger" if varA is larger than varB * "equal" if varA is equal to varB * "smaller" if varA is smaller than varB """ if type(varA) == str or type(varB) == str: print('string involved') elif varA > varB: print('bigger') elif varA == varB: print('equal') else: print('smaller')
cars = 100.00 #number of cars available for the day space_in_a_car = 4.00 #amount of space in a cars drivers = 30.00 #number of available drivers passengers = 90.00 #number of available passengers cars_not_driven = cars - drivers #calculation for cars that are not used cars_driven = drivers #calculation for cars that are used carpool_capacity = cars_driven * space_in_a_car #calculation for carpool_capacity average_passengers_per_car = passengers / cars_driven #calculation for average print("There are", cars, "cars available") print("There are only", drivers, "drivers available") print("There will be", cars_not_driven, "empty cars today") print("We can transport", carpool_capacity, "people today.") print("We have", passengers, "to carpool today.") print("We need to put about", average_passengers_per_car, "in each car.")
cars = 100.0 space_in_a_car = 4.0 drivers = 30.0 passengers = 90.0 cars_not_driven = cars - drivers cars_driven = drivers carpool_capacity = cars_driven * space_in_a_car average_passengers_per_car = passengers / cars_driven print('There are', cars, 'cars available') print('There are only', drivers, 'drivers available') print('There will be', cars_not_driven, 'empty cars today') print('We can transport', carpool_capacity, 'people today.') print('We have', passengers, 'to carpool today.') print('We need to put about', average_passengers_per_car, 'in each car.')
class Solution: def findMaximumXOR(self, nums: List[int]) -> int: ans = mask = 0 for x in range(32)[::-1]: mask += 1 << x prefixSet = set([n & mask for n in nums]) temp = ans | 1 << x for prefix in prefixSet: if temp ^ prefix in prefixSet: ans = temp break return ans
class Solution: def find_maximum_xor(self, nums: List[int]) -> int: ans = mask = 0 for x in range(32)[::-1]: mask += 1 << x prefix_set = set([n & mask for n in nums]) temp = ans | 1 << x for prefix in prefixSet: if temp ^ prefix in prefixSet: ans = temp break return ans
# # PySNMP MIB module OMNI-gx2CM-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/OMNI-gx2CM-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:23:48 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) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection") gx2Cm, = mibBuilder.importSymbols("GX2HFC-MIB", "gx2Cm") gi, motproxies = mibBuilder.importSymbols("NLS-BBNIDENT-MIB", "gi", "motproxies") trapNETrapLastTrapTimeStamp, trapNetworkElemModelNumber, trapNetworkElemAvailStatus, trapChangedValueDisplayString, trapChangedValueInteger, trapNetworkElemSerialNum, trapNetworkElemOperState, trapNetworkElemAdminState, trapChangedObjectId, trapText, trapIdentifier, trapNetworkElemAlarmStatus, trapPerceivedSeverity = mibBuilder.importSymbols("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp", "trapNetworkElemModelNumber", "trapNetworkElemAvailStatus", "trapChangedValueDisplayString", "trapChangedValueInteger", "trapNetworkElemSerialNum", "trapNetworkElemOperState", "trapNetworkElemAdminState", "trapChangedObjectId", "trapText", "trapIdentifier", "trapNetworkElemAlarmStatus", "trapPerceivedSeverity") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") sysUpTime, = mibBuilder.importSymbols("SNMPv2-MIB", "sysUpTime") iso, IpAddress, Unsigned32, MibIdentifier, Counter64, Integer32, Counter32, NotificationType, TimeTicks, Bits, ModuleIdentity, NotificationType, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "IpAddress", "Unsigned32", "MibIdentifier", "Counter64", "Integer32", "Counter32", "NotificationType", "TimeTicks", "Bits", "ModuleIdentity", "NotificationType", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") class Float(Counter32): pass gx2cmDescriptor = MibIdentifier((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 1)) gx2cmFactoryTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2), ) if mibBuilder.loadTexts: gx2cmFactoryTable.setStatus('mandatory') gx2cmFactoryEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmFactoryTableIndex")) if mibBuilder.loadTexts: gx2cmFactoryEntry.setStatus('mandatory') gx2cmNetworkTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3), ) if mibBuilder.loadTexts: gx2cmNetworkTable.setStatus('mandatory') gx2cmNetworkEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmNetworkTableIndex")) if mibBuilder.loadTexts: gx2cmNetworkEntry.setStatus('mandatory') gx2cmAnalogTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4), ) if mibBuilder.loadTexts: gx2cmAnalogTable.setStatus('mandatory') gx2cmAnalogEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmTableIndex")) if mibBuilder.loadTexts: gx2cmAnalogEntry.setStatus('mandatory') gx2cmDigitalTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5), ) if mibBuilder.loadTexts: gx2cmDigitalTable.setStatus('mandatory') gx2cmDigitalEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmDigitalTableIndex")) if mibBuilder.loadTexts: gx2cmDigitalEntry.setStatus('mandatory') gx2cmStatusTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6), ) if mibBuilder.loadTexts: gx2cmStatusTable.setStatus('mandatory') gx2cmStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmStatusTableIndex")) if mibBuilder.loadTexts: gx2cmStatusEntry.setStatus('mandatory') gx2cmAMCTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7), ) if mibBuilder.loadTexts: gx2cmAMCTable.setStatus('mandatory') gx2cmAMCEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmAMCTableIndex")) if mibBuilder.loadTexts: gx2cmAMCEntry.setStatus('mandatory') gx2cmSecurityTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8), ) if mibBuilder.loadTexts: gx2cmSecurityTable.setStatus('mandatory') gx2cmSecurityEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmSecurityTableIndex")) if mibBuilder.loadTexts: gx2cmSecurityEntry.setStatus('mandatory') gx2cmDiagnosticTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9), ) if mibBuilder.loadTexts: gx2cmDiagnosticTable.setStatus('mandatory') gx2cmDiagnosticEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmDiagnosticTableIndex")) if mibBuilder.loadTexts: gx2cmDiagnosticEntry.setStatus('mandatory') gx2cmDownloadTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10), ) if mibBuilder.loadTexts: gx2cmDownloadTable.setStatus('mandatory') gx2cmDownloadEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9), ).setIndexNames((0, "OMNI-gx2CM-MIB", "gx2cmDownloadTableIndex")) if mibBuilder.loadTexts: gx2cmDownloadEntry.setStatus('mandatory') cmTrapHistoryTable = MibTable((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11), ) if mibBuilder.loadTexts: cmTrapHistoryTable.setStatus('mandatory') cmTrapHistoryEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10), ).setIndexNames((0, "OMNI-gx2CM-MIB", "cmTrapHistoryTableIndex")) if mibBuilder.loadTexts: cmTrapHistoryEntry.setStatus('mandatory') gx2cmTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmTableIndex.setStatus('mandatory') labelModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelModTemp.setStatus('optional') uomModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: uomModTemp.setStatus('optional') majorHighModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 4), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: majorHighModTemp.setStatus('mandatory') majorLowModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 5), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: majorLowModTemp.setStatus('mandatory') minorHighModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 6), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: minorHighModTemp.setStatus('mandatory') minorLowModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 7), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: minorLowModTemp.setStatus('mandatory') currentValueModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 8), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: currentValueModTemp.setStatus('mandatory') stateFlagModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFlagModTemp.setStatus('mandatory') minValueModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 10), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: minValueModTemp.setStatus('optional') maxValueModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 11), Float()).setMaxAccess("readonly") if mibBuilder.loadTexts: maxValueModTemp.setStatus('optional') alarmStateModTemp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("noAlarm", 1), ("majorLowAlarm", 2), ("minorLowAlarm", 3), ("minorHighAlarm", 4), ("majorHighAlarm", 5), ("informational", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: alarmStateModTemp.setStatus('mandatory') gx2cmDigitalTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmDigitalTableIndex.setStatus('mandatory') labelRemoteLocal = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelRemoteLocal.setStatus('obsolete') enumRemoteLocal = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: enumRemoteLocal.setStatus('obsolete') valueRemoteLocal = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("local", 1), ("remote", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueRemoteLocal.setStatus('obsolete') stateFlagRemoteLocal = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFlagRemoteLocal.setStatus('obsolete') labelResetSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelResetSlot.setStatus('optional') enumResetSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: enumResetSlot.setStatus('optional') valueResetSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 8), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueResetSlot.setStatus('mandatory') stateResetSlot = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateResetSlot.setStatus('mandatory') labelIdShelf = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelIdShelf.setStatus('optional') enumIdShelf = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: enumIdShelf.setStatus('optional') valueIdShelf = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueIdShelf.setStatus('mandatory') stateFlagIdShelf = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFlagIdShelf.setStatus('mandatory') labelResetAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelResetAlarm.setStatus('optional') enumResetAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: enumResetAlarm.setStatus('optional') valueResetAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 16), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueResetAlarm.setStatus('mandatory') stateFlagResetAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFlagResetAlarm.setStatus('mandatory') gx2cmStatusTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmStatusTableIndex.setStatus('mandatory') labelShelfAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelShelfAlarm.setStatus('optional') valueShelfAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("ok", 1), ("undetermined", 2), ("warning", 3), ("minor", 4), ("major", 5), ("critical", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueShelfAlarm.setStatus('mandatory') stateShelfAlarm = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateShelfAlarm.setStatus('mandatory') labelDataCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelDataCrc.setStatus('optional') valueDataCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("ok", 1), ("undetermined", 2), ("warning", 3), ("minor", 4), ("major", 5), ("critical", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueDataCrc.setStatus('mandatory') stateDataCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateDataCrc.setStatus('mandatory') labelFlashStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelFlashStatus.setStatus('optional') valueFlashStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("ok", 1), ("undetermined", 2), ("warning", 3), ("minor", 4), ("major", 5), ("critical", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueFlashStatus.setStatus('mandatory') stateFlashStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFlashStatus.setStatus('mandatory') labelBootStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelBootStatus.setStatus('optional') valueBootStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("ok", 1), ("undetermined", 2), ("warning", 3), ("minor", 4), ("major", 5), ("critical", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueBootStatus.setStatus('mandatory') stateBootStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateBootStatus.setStatus('mandatory') labelAlmLimCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelAlmLimCrc.setStatus('optional') valueAlmLimCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("ok", 1), ("undetermined", 2), ("warning", 3), ("minor", 4), ("major", 5), ("critical", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueAlmLimCrc.setStatus('mandatory') stateAlmLimCrc = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateAlmLimCrc.setStatus('mandatory') gx2cmFactoryTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmFactoryTableIndex.setStatus('mandatory') bootControlByte = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: bootControlByte.setStatus('mandatory') bootStatusByte = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: bootStatusByte.setStatus('mandatory') bank0CRC = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: bank0CRC.setStatus('mandatory') bank1CRC = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: bank1CRC.setStatus('mandatory') prgEEPROMByte = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: prgEEPROMByte.setStatus('mandatory') factoryCRC = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: factoryCRC.setStatus('mandatory') calculateCRC = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: calculateCRC.setStatus('mandatory') hourMeter = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hourMeter.setStatus('mandatory') flashPrgCnt0 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: flashPrgCnt0.setStatus('mandatory') flashPrgCnt1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: flashPrgCnt1.setStatus('mandatory') flashBank0 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: flashBank0.setStatus('mandatory') flashBank1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: flashBank1.setStatus('mandatory') localMacAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: localMacAdd.setStatus('mandatory') netWorkMacAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netWorkMacAdd.setStatus('mandatory') gx2cmNetworkTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmNetworkTableIndex.setStatus('mandatory') labelLocalEthIPAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelLocalEthIPAdd.setStatus('optional') valueLocalEthIPAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueLocalEthIPAdd.setStatus('mandatory') labelLocalEthMask = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelLocalEthMask.setStatus('optional') valueLocalEthMask = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueLocalEthMask.setStatus('mandatory') labelNetworkEthAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelNetworkEthAdd.setStatus('optional') valueNetworkEthAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueNetworkEthAdd.setStatus('mandatory') labelNetworkEthMask = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelNetworkEthMask.setStatus('optional') valueNetworkEthMask = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueNetworkEthMask.setStatus('mandatory') labelShelfSerialNum = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelShelfSerialNum.setStatus('optional') valueShelfSerialNum = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueShelfSerialNum.setStatus('mandatory') labelGateWayIPAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelGateWayIPAdd.setStatus('optional') valueGateWayIPAdd = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueGateWayIPAdd.setStatus('mandatory') labelTrapDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTrapDestination.setStatus('optional') valueTrapDestination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTrapDestination.setStatus('mandatory') labelTFTPserver = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTFTPserver.setStatus('optional') valueTFTPserver = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 17), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTFTPserver.setStatus('mandatory') labelTrap2Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 18), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTrap2Destination.setStatus('optional') valueTrap2Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 19), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTrap2Destination.setStatus('mandatory') labelTrap3Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 20), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTrap3Destination.setStatus('optional') valueTrap3Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 21), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTrap3Destination.setStatus('mandatory') labelTrap4Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 22), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTrap4Destination.setStatus('optional') valueTrap4Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 23), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTrap4Destination.setStatus('mandatory') labelTrap5Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 24), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelTrap5Destination.setStatus('optional') valueTrap5Destination = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 25), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueTrap5Destination.setStatus('mandatory') labelISDNMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 26), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelISDNMode.setStatus('optional') valueISDNMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 27), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueISDNMode.setStatus('mandatory') labelISDNModemIPAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 28), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelISDNModemIPAddress.setStatus('optional') valueISDNModemIPAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 29), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueISDNModemIPAddress.setStatus('mandatory') labelISDNTrapTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 30), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelISDNTrapTimeout.setStatus('optional') valueISDNTrapTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 31), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 3600))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueISDNTrapTimeout.setStatus('mandatory') labelISDNPingTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 32), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelISDNPingTimeout.setStatus('optional') valueISDNPingTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 33), Integer32().subtype(subtypeSpec=ValueRangeConstraint(100, 5000))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueISDNPingTimeout.setStatus('mandatory') labelISDNBackoffTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 34), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelISDNBackoffTimer.setStatus('optional') valueISDNBackoffTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 35), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 3600))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueISDNBackoffTimer.setStatus('mandatory') gx2cmSecurityTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmSecurityTableIndex.setStatus('mandatory') labelSecurityMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelSecurityMode.setStatus('optional') enumSecurityMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: enumSecurityMode.setStatus('optional') valueSecurityMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("read-only", 1), ("operator-access", 2), ("factory-access", 3), ("remote-write-only", 4), ("local-write-only", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: valueSecurityMode.setStatus('mandatory') stateSecurityMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateSecurityMode.setStatus('mandatory') labelPassword = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelPassword.setStatus('optional') valuePassword = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valuePassword.setStatus('mandatory') statePassword = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: statePassword.setStatus('mandatory') labelFactoryChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelFactoryChgString.setStatus('optional') valueFactoryChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("writeonly") if mibBuilder.loadTexts: valueFactoryChgString.setStatus('mandatory') stateFactoryChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateFactoryChgString.setStatus('mandatory') labelOperatorChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelOperatorChgString.setStatus('optional') valueOperatorChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("writeonly") if mibBuilder.loadTexts: valueOperatorChgString.setStatus('mandatory') stateOperatorChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateOperatorChgString.setStatus('mandatory') labelReadOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelReadOnlyChgString.setStatus('optional') valueReadOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("writeonly") if mibBuilder.loadTexts: valueReadOnlyChgString.setStatus('mandatory') stateReadOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateReadOnlyChgString.setStatus('mandatory') labelRemoteOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 18), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelRemoteOnlyChgString.setStatus('optional') valueRemoteOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 19), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("writeonly") if mibBuilder.loadTexts: valueRemoteOnlyChgString.setStatus('mandatory') stateRemoteOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 20), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateRemoteOnlyChgString.setStatus('mandatory') labelLocalOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 21), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: labelLocalOnlyChgString.setStatus('optional') valueLocalOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 22), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("writeonly") if mibBuilder.loadTexts: valueLocalOnlyChgString.setStatus('mandatory') stateLocalOnlyChgString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 23), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hidden", 1), ("read-only", 2), ("updateable", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: stateLocalOnlyChgString.setStatus('mandatory') gx2cmAMCTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmAMCTableIndex.setStatus('mandatory') valueAMCslot1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot1.setStatus('mandatory') serialAMCslot1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot1.setStatus('mandatory') agentIDAMCslot1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot1.setStatus('mandatory') valueAMCslot2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot2.setStatus('mandatory') serialAMCslot2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot2.setStatus('mandatory') agentIDAMCslot2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot2.setStatus('mandatory') valueAMCslot3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot3.setStatus('mandatory') serialAMCslot3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot3.setStatus('mandatory') agentIDAMCslot3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot3.setStatus('mandatory') valueAMCslot4 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot4.setStatus('mandatory') serialAMCslot4 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot4.setStatus('mandatory') agentIDAMCslot4 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot4.setStatus('mandatory') valueAMCslot5 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot5.setStatus('mandatory') serialAMCslot5 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot5.setStatus('mandatory') agentIDAMCslot5 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 16), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot5.setStatus('mandatory') valueAMCslot6 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot6.setStatus('mandatory') serialAMCslot6 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 18), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot6.setStatus('mandatory') agentIDAMCslot6 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 19), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot6.setStatus('mandatory') valueAMCslot7 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 20), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot7.setStatus('mandatory') serialAMCslot7 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 21), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot7.setStatus('mandatory') agentIDAMCslot7 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 22), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot7.setStatus('mandatory') valueAMCslot8 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 23), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot8.setStatus('mandatory') serialAMCslot8 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 24), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot8.setStatus('mandatory') agentIDAMCslot8 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 25), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot8.setStatus('mandatory') valueAMCslot9 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 26), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot9.setStatus('mandatory') serialAMCslot9 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 27), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot9.setStatus('mandatory') agentIDAMCslot9 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 28), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot9.setStatus('mandatory') valueAMCslot10 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 29), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot10.setStatus('mandatory') serialAMCslot10 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 30), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot10.setStatus('mandatory') agentIDAMCslot10 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 31), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot10.setStatus('mandatory') valueAMCslot11 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 32), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot11.setStatus('mandatory') serialAMCslot11 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 33), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot11.setStatus('mandatory') agentIDAMCslot11 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 34), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot11.setStatus('mandatory') valueAMCslot12 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 35), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot12.setStatus('mandatory') serialAMCslot12 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 36), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot12.setStatus('mandatory') agentIDAMCslot12 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 37), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot12.setStatus('mandatory') valueAMCslot13 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 38), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot13.setStatus('mandatory') serialAMCslot13 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 39), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot13.setStatus('mandatory') agentIDAMCslot13 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 40), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot13.setStatus('mandatory') valueAMCslot14 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 41), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot14.setStatus('mandatory') serialAMCslot14 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 42), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot14.setStatus('mandatory') agentIDAMCslot14 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 43), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot14.setStatus('mandatory') valueAMCslot15 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 44), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot15.setStatus('mandatory') serialAMCslot15 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 45), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot15.setStatus('mandatory') agentIDAMCslot15 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 46), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot15.setStatus('mandatory') valueAMCslot16 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 47), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot16.setStatus('mandatory') serialAMCslot16 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 48), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot16.setStatus('mandatory') agentIDAMCslot16 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 49), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot16.setStatus('mandatory') valueAMCslot17 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 50), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot17.setStatus('mandatory') serialAMCslot17 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 51), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot17.setStatus('mandatory') agentIDAMCslot17 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 52), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot17.setStatus('mandatory') valueAMCslot18 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 53), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("force", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: valueAMCslot18.setStatus('mandatory') serialAMCslot18 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 54), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: serialAMCslot18.setStatus('mandatory') agentIDAMCslot18 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 55), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: agentIDAMCslot18.setStatus('mandatory') autoQuickSwapCnt = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 56), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("timeroff", 1), ("onehour", 2), ("oneday", 3), ("oneweek", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: autoQuickSwapCnt.setStatus('mandatory') gx2cmDiagnosticTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmDiagnosticTableIndex.setStatus('mandatory') ledTestValue = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: ledTestValue.setStatus('mandatory') bpTestCnt = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: bpTestCnt.setStatus('mandatory') successTransSlot1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot1.setStatus('mandatory') successTransSlot2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot2.setStatus('mandatory') successTransSlot3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot3.setStatus('mandatory') successTransSlot4 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot4.setStatus('mandatory') successTransSlot5 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 8), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot5.setStatus('mandatory') successTransSlot6 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 9), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot6.setStatus('mandatory') successTransSlot7 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 10), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot7.setStatus('mandatory') successTransSlot8 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 11), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot8.setStatus('mandatory') successTransSlot9 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 12), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot9.setStatus('mandatory') successTransSlot10 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 13), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot10.setStatus('mandatory') successTransSlot11 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 14), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot11.setStatus('mandatory') successTransSlot12 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 15), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot12.setStatus('mandatory') successTransSlot13 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 16), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot13.setStatus('mandatory') successTransSlot14 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 17), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot14.setStatus('mandatory') successTransSlot15 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 18), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot15.setStatus('mandatory') successTransSlot16 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 19), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot16.setStatus('mandatory') successTransSlot17 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 20), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot17.setStatus('mandatory') successTransSlot18 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 21), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: successTransSlot18.setStatus('mandatory') failureTransSlot1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 22), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot1.setStatus('mandatory') failureTransSlot2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 23), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot2.setStatus('mandatory') failureTransSlot3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 24), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot3.setStatus('mandatory') failureTransSlot4 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 25), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot4.setStatus('mandatory') failureTransSlot5 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 26), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot5.setStatus('mandatory') failureTransSlot6 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 27), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot6.setStatus('mandatory') failureTransSlot7 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 28), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot7.setStatus('mandatory') failureTransSlot8 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 29), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot8.setStatus('mandatory') failureTransSlot9 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 30), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot9.setStatus('mandatory') failureTransSlot10 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 31), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot10.setStatus('mandatory') failureTransSlot11 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 32), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot11.setStatus('mandatory') failureTransSlot12 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 33), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot12.setStatus('mandatory') failureTransSlot13 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 34), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot13.setStatus('mandatory') failureTransSlot14 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 35), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot14.setStatus('mandatory') failureTransSlot15 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 36), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot15.setStatus('mandatory') failureTransSlot16 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 37), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot16.setStatus('mandatory') failureTransSlot17 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 38), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot17.setStatus('mandatory') failureTransSlot18 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 39), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: failureTransSlot18.setStatus('mandatory') fanTestMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 40), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: fanTestMode.setStatus('mandatory') fanControl = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 41), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: fanControl.setStatus('mandatory') relayTestMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 42), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: relayTestMode.setStatus('mandatory') relayControl = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 43), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("open", 1), ("closed", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: relayControl.setStatus('mandatory') slotPollMode = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 44), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: slotPollMode.setStatus('mandatory') bootCount = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 45), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: bootCount.setStatus('mandatory') objectTableData = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 46), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: objectTableData.setStatus('mandatory') setSysTime = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 47), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: setSysTime.setStatus('mandatory') gx2cmDownloadTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly") if mibBuilder.loadTexts: gx2cmDownloadTableIndex.setStatus('mandatory') downloadValue = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: downloadValue.setStatus('mandatory') autoDownloadReset = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("deactivate", 1), ("activate", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: autoDownloadReset.setStatus('mandatory') downloadFilename = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readwrite") if mibBuilder.loadTexts: downloadFilename.setStatus('mandatory') downloadState = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 5), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: downloadState.setStatus('mandatory') switchFwBank = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: switchFwBank.setStatus('mandatory') cmTrapHistoryTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: cmTrapHistoryTableIndex.setStatus('mandatory') netrapId = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapId.setStatus('mandatory') netrapNetworkElemModelNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemModelNumber.setStatus('mandatory') netrapNetworkElemSerialNum = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemSerialNum.setStatus('mandatory') netrapPerceivedSeverity = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapPerceivedSeverity.setStatus('mandatory') netrapNetworkElemOperState = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemOperState.setStatus('mandatory') netrapNetworkElemAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemAlarmStatus.setStatus('mandatory') netrapNetworkElemAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemAdminState.setStatus('mandatory') netrapNetworkElemAvailStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapNetworkElemAvailStatus.setStatus('mandatory') netrapText = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapText.setStatus('mandatory') netrapLastTrapTimeStamp = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 11), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapLastTrapTimeStamp.setStatus('mandatory') netrapChangedObjectId = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapChangedObjectId.setStatus('mandatory') netrapAdditionalInfoInteger1 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 13), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapAdditionalInfoInteger1.setStatus('mandatory') netrapAdditionalInfoInteger2 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapAdditionalInfoInteger2.setStatus('mandatory') netrapAdditionalInfoInteger3 = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapAdditionalInfoInteger3.setStatus('mandatory') netrapChangedValueDisplayString = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapChangedValueDisplayString.setStatus('mandatory') netrapChangedValueOID = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 17), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 80))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapChangedValueOID.setStatus('mandatory') netrapChangedValueIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 18), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapChangedValueIpAddress.setStatus('mandatory') netrapChangedValueInteger = MibTableColumn((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 19), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: netrapChangedValueInteger.setStatus('mandatory') trapCMConfigChangeInteger = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,1)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMConfigChangeDisplayString = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,2)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueDisplayString"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMModuleTempAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,3)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMEEPROMAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,4)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMFlashAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,5)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMHardwareAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,6)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMInitEEPROMAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,7)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) trapCMBootAlarm = NotificationType((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0,8)).setObjects(("NLSBBN-TRAPS-MIB", "trapIdentifier"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemModelNumber"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemSerialNum"), ("NLSBBN-TRAPS-MIB", "trapPerceivedSeverity"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemOperState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAlarmStatus"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAdminState"), ("NLSBBN-TRAPS-MIB", "trapNetworkElemAvailStatus"), ("NLSBBN-TRAPS-MIB", "trapText"), ("NLSBBN-TRAPS-MIB", "trapChangedObjectId"), ("NLSBBN-TRAPS-MIB", "trapChangedValueInteger"), ("NLSBBN-TRAPS-MIB", "trapNETrapLastTrapTimeStamp")) mibBuilder.exportSymbols("OMNI-gx2CM-MIB", successTransSlot18=successTransSlot18, valueISDNPingTimeout=valueISDNPingTimeout, valueAMCslot11=valueAMCslot11, failureTransSlot4=failureTransSlot4, gx2cmNetworkTableIndex=gx2cmNetworkTableIndex, successTransSlot13=successTransSlot13, failureTransSlot13=failureTransSlot13, failureTransSlot16=failureTransSlot16, trapCMFlashAlarm=trapCMFlashAlarm, successTransSlot8=successTransSlot8, netrapChangedValueDisplayString=netrapChangedValueDisplayString, labelTrap2Destination=labelTrap2Destination, gx2cmStatusTable=gx2cmStatusTable, alarmStateModTemp=alarmStateModTemp, relayControl=relayControl, successTransSlot15=successTransSlot15, netrapNetworkElemModelNumber=netrapNetworkElemModelNumber, enumRemoteLocal=enumRemoteLocal, gx2cmDescriptor=gx2cmDescriptor, agentIDAMCslot12=agentIDAMCslot12, valueLocalEthIPAdd=valueLocalEthIPAdd, valueNetworkEthAdd=valueNetworkEthAdd, netrapNetworkElemSerialNum=netrapNetworkElemSerialNum, valueIdShelf=valueIdShelf, gx2cmDigitalEntry=gx2cmDigitalEntry, netrapId=netrapId, gx2cmDigitalTableIndex=gx2cmDigitalTableIndex, serialAMCslot18=serialAMCslot18, bootCount=bootCount, factoryCRC=factoryCRC, stateFlagResetAlarm=stateFlagResetAlarm, labelTFTPserver=labelTFTPserver, trapCMConfigChangeInteger=trapCMConfigChangeInteger, agentIDAMCslot1=agentIDAMCslot1, enumIdShelf=enumIdShelf, minorHighModTemp=minorHighModTemp, successTransSlot2=successTransSlot2, flashPrgCnt0=flashPrgCnt0, autoDownloadReset=autoDownloadReset, trapCMInitEEPROMAlarm=trapCMInitEEPROMAlarm, labelTrap5Destination=labelTrap5Destination, majorLowModTemp=majorLowModTemp, gx2cmSecurityEntry=gx2cmSecurityEntry, gx2cmAMCTable=gx2cmAMCTable, currentValueModTemp=currentValueModTemp, successTransSlot1=successTransSlot1, serialAMCslot4=serialAMCslot4, serialAMCslot8=serialAMCslot8, valueResetSlot=valueResetSlot, enumSecurityMode=enumSecurityMode, successTransSlot10=successTransSlot10, switchFwBank=switchFwBank, stateOperatorChgString=stateOperatorChgString, agentIDAMCslot15=agentIDAMCslot15, hourMeter=hourMeter, stateBootStatus=stateBootStatus, valueTrap3Destination=valueTrap3Destination, valueISDNBackoffTimer=valueISDNBackoffTimer, stateFlagIdShelf=stateFlagIdShelf, labelReadOnlyChgString=labelReadOnlyChgString, netrapNetworkElemAvailStatus=netrapNetworkElemAvailStatus, gx2cmDiagnosticTableIndex=gx2cmDiagnosticTableIndex, failureTransSlot2=failureTransSlot2, labelTrap3Destination=labelTrap3Destination, gx2cmDownloadTableIndex=gx2cmDownloadTableIndex, autoQuickSwapCnt=autoQuickSwapCnt, netrapLastTrapTimeStamp=netrapLastTrapTimeStamp, labelLocalOnlyChgString=labelLocalOnlyChgString, valueAMCslot4=valueAMCslot4, labelRemoteLocal=labelRemoteLocal, serialAMCslot2=serialAMCslot2, agentIDAMCslot11=agentIDAMCslot11, labelISDNTrapTimeout=labelISDNTrapTimeout, valueISDNTrapTimeout=valueISDNTrapTimeout, valueAMCslot17=valueAMCslot17, valueAMCslot16=valueAMCslot16, failureTransSlot7=failureTransSlot7, trapCMConfigChangeDisplayString=trapCMConfigChangeDisplayString, valueTrap2Destination=valueTrap2Destination, gx2cmAMCEntry=gx2cmAMCEntry, valueAMCslot3=valueAMCslot3, valueResetAlarm=valueResetAlarm, labelModTemp=labelModTemp, valueReadOnlyChgString=valueReadOnlyChgString, valueAMCslot7=valueAMCslot7, valueAMCslot6=valueAMCslot6, labelResetAlarm=labelResetAlarm, calculateCRC=calculateCRC, Float=Float, stateShelfAlarm=stateShelfAlarm, stateFactoryChgString=stateFactoryChgString, serialAMCslot9=serialAMCslot9, agentIDAMCslot13=agentIDAMCslot13, successTransSlot3=successTransSlot3, failureTransSlot15=failureTransSlot15, downloadValue=downloadValue, netrapPerceivedSeverity=netrapPerceivedSeverity, serialAMCslot17=serialAMCslot17, stateLocalOnlyChgString=stateLocalOnlyChgString, labelFactoryChgString=labelFactoryChgString, agentIDAMCslot3=agentIDAMCslot3, netrapNetworkElemOperState=netrapNetworkElemOperState, gx2cmStatusEntry=gx2cmStatusEntry, gx2cmNetworkTable=gx2cmNetworkTable, netrapChangedValueInteger=netrapChangedValueInteger, valueAMCslot14=valueAMCslot14, valueLocalEthMask=valueLocalEthMask, minValueModTemp=minValueModTemp, gx2cmDiagnosticTable=gx2cmDiagnosticTable, labelISDNMode=labelISDNMode, labelOperatorChgString=labelOperatorChgString, valueAMCslot13=valueAMCslot13, stateFlagModTemp=stateFlagModTemp, stateFlagRemoteLocal=stateFlagRemoteLocal, stateRemoteOnlyChgString=stateRemoteOnlyChgString, valueNetworkEthMask=valueNetworkEthMask, valueTrapDestination=valueTrapDestination, valuePassword=valuePassword, gx2cmSecurityTable=gx2cmSecurityTable, serialAMCslot7=serialAMCslot7, setSysTime=setSysTime, netrapNetworkElemAlarmStatus=netrapNetworkElemAlarmStatus, gx2cmTableIndex=gx2cmTableIndex, labelFlashStatus=labelFlashStatus, enumResetAlarm=enumResetAlarm, agentIDAMCslot10=agentIDAMCslot10, agentIDAMCslot17=agentIDAMCslot17, stateSecurityMode=stateSecurityMode, cmTrapHistoryEntry=cmTrapHistoryEntry, agentIDAMCslot7=agentIDAMCslot7, labelDataCrc=labelDataCrc, labelAlmLimCrc=labelAlmLimCrc, valueISDNMode=valueISDNMode, netrapText=netrapText, valueAMCslot15=valueAMCslot15, labelBootStatus=labelBootStatus, stateReadOnlyChgString=stateReadOnlyChgString, failureTransSlot9=failureTransSlot9, valueAMCslot1=valueAMCslot1, gx2cmNetworkEntry=gx2cmNetworkEntry, valueAMCslot9=valueAMCslot9, trapCMEEPROMAlarm=trapCMEEPROMAlarm, valueTFTPserver=valueTFTPserver, valueAMCslot12=valueAMCslot12, failureTransSlot17=failureTransSlot17, serialAMCslot10=serialAMCslot10, labelPassword=labelPassword, serialAMCslot13=serialAMCslot13, labelIdShelf=labelIdShelf, valueBootStatus=valueBootStatus, gx2cmStatusTableIndex=gx2cmStatusTableIndex, bootStatusByte=bootStatusByte, valueAMCslot2=valueAMCslot2, gx2cmFactoryEntry=gx2cmFactoryEntry, maxValueModTemp=maxValueModTemp, labelRemoteOnlyChgString=labelRemoteOnlyChgString, agentIDAMCslot18=agentIDAMCslot18, valueLocalOnlyChgString=valueLocalOnlyChgString, flashBank0=flashBank0, failureTransSlot6=failureTransSlot6, valueSecurityMode=valueSecurityMode, valueGateWayIPAdd=valueGateWayIPAdd, bank0CRC=bank0CRC, valueFlashStatus=valueFlashStatus, valueAMCslot18=valueAMCslot18, gx2cmDigitalTable=gx2cmDigitalTable, valueTrap5Destination=valueTrap5Destination, serialAMCslot5=serialAMCslot5, stateDataCrc=stateDataCrc, labelTrap4Destination=labelTrap4Destination, gx2cmFactoryTableIndex=gx2cmFactoryTableIndex, serialAMCslot16=serialAMCslot16, ledTestValue=ledTestValue, failureTransSlot3=failureTransSlot3, valueAMCslot8=valueAMCslot8, failureTransSlot5=failureTransSlot5, failureTransSlot10=failureTransSlot10, localMacAdd=localMacAdd, valueRemoteOnlyChgString=valueRemoteOnlyChgString, bank1CRC=bank1CRC, prgEEPROMByte=prgEEPROMByte, gx2cmDownloadEntry=gx2cmDownloadEntry, labelNetworkEthAdd=labelNetworkEthAdd, failureTransSlot14=failureTransSlot14, successTransSlot14=successTransSlot14, valueRemoteLocal=valueRemoteLocal, majorHighModTemp=majorHighModTemp, valueAMCslot5=valueAMCslot5, netrapNetworkElemAdminState=netrapNetworkElemAdminState, agentIDAMCslot5=agentIDAMCslot5, serialAMCslot12=serialAMCslot12, netrapAdditionalInfoInteger1=netrapAdditionalInfoInteger1, agentIDAMCslot4=agentIDAMCslot4, labelTrapDestination=labelTrapDestination, labelResetSlot=labelResetSlot, labelShelfAlarm=labelShelfAlarm, cmTrapHistoryTable=cmTrapHistoryTable, downloadFilename=downloadFilename, labelLocalEthIPAdd=labelLocalEthIPAdd, failureTransSlot18=failureTransSlot18, successTransSlot7=successTransSlot7, valueTrap4Destination=valueTrap4Destination, stateFlashStatus=stateFlashStatus, labelNetworkEthMask=labelNetworkEthMask, serialAMCslot6=serialAMCslot6, successTransSlot11=successTransSlot11, stateResetSlot=stateResetSlot, labelShelfSerialNum=labelShelfSerialNum, successTransSlot6=successTransSlot6, enumResetSlot=enumResetSlot, agentIDAMCslot6=agentIDAMCslot6, valueDataCrc=valueDataCrc, labelSecurityMode=labelSecurityMode, agentIDAMCslot14=agentIDAMCslot14, failureTransSlot11=failureTransSlot11, uomModTemp=uomModTemp, relayTestMode=relayTestMode, agentIDAMCslot9=agentIDAMCslot9, cmTrapHistoryTableIndex=cmTrapHistoryTableIndex, flashPrgCnt1=flashPrgCnt1, labelLocalEthMask=labelLocalEthMask, successTransSlot9=successTransSlot9, netrapAdditionalInfoInteger2=netrapAdditionalInfoInteger2, gx2cmFactoryTable=gx2cmFactoryTable, valueShelfAlarm=valueShelfAlarm, statePassword=statePassword, serialAMCslot1=serialAMCslot1, objectTableData=objectTableData, bootControlByte=bootControlByte, gx2cmAnalogTable=gx2cmAnalogTable, gx2cmDownloadTable=gx2cmDownloadTable, stateAlmLimCrc=stateAlmLimCrc, valueISDNModemIPAddress=valueISDNModemIPAddress, successTransSlot12=successTransSlot12, failureTransSlot12=failureTransSlot12, labelISDNPingTimeout=labelISDNPingTimeout, downloadState=downloadState, netrapChangedValueOID=netrapChangedValueOID, agentIDAMCslot16=agentIDAMCslot16, netWorkMacAdd=netWorkMacAdd, valueAlmLimCrc=valueAlmLimCrc, labelISDNModemIPAddress=labelISDNModemIPAddress, successTransSlot17=successTransSlot17, serialAMCslot14=serialAMCslot14, netrapChangedObjectId=netrapChangedObjectId, netrapAdditionalInfoInteger3=netrapAdditionalInfoInteger3, flashBank1=flashBank1, trapCMHardwareAlarm=trapCMHardwareAlarm, bpTestCnt=bpTestCnt, gx2cmAMCTableIndex=gx2cmAMCTableIndex, successTransSlot16=successTransSlot16, trapCMModuleTempAlarm=trapCMModuleTempAlarm, valueFactoryChgString=valueFactoryChgString, fanTestMode=fanTestMode) mibBuilder.exportSymbols("OMNI-gx2CM-MIB", gx2cmSecurityTableIndex=gx2cmSecurityTableIndex, minorLowModTemp=minorLowModTemp, serialAMCslot3=serialAMCslot3, valueOperatorChgString=valueOperatorChgString, netrapChangedValueIpAddress=netrapChangedValueIpAddress, agentIDAMCslot2=agentIDAMCslot2, labelGateWayIPAdd=labelGateWayIPAdd, trapCMBootAlarm=trapCMBootAlarm, agentIDAMCslot8=agentIDAMCslot8, slotPollMode=slotPollMode, successTransSlot4=successTransSlot4, gx2cmAnalogEntry=gx2cmAnalogEntry, gx2cmDiagnosticEntry=gx2cmDiagnosticEntry, valueShelfSerialNum=valueShelfSerialNum, labelISDNBackoffTimer=labelISDNBackoffTimer, valueAMCslot10=valueAMCslot10, serialAMCslot11=serialAMCslot11, serialAMCslot15=serialAMCslot15, successTransSlot5=successTransSlot5, fanControl=fanControl, failureTransSlot8=failureTransSlot8, failureTransSlot1=failureTransSlot1)
(octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, value_range_constraint, single_value_constraint, constraints_union, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection') (gx2_cm,) = mibBuilder.importSymbols('GX2HFC-MIB', 'gx2Cm') (gi, motproxies) = mibBuilder.importSymbols('NLS-BBNIDENT-MIB', 'gi', 'motproxies') (trap_ne_trap_last_trap_time_stamp, trap_network_elem_model_number, trap_network_elem_avail_status, trap_changed_value_display_string, trap_changed_value_integer, trap_network_elem_serial_num, trap_network_elem_oper_state, trap_network_elem_admin_state, trap_changed_object_id, trap_text, trap_identifier, trap_network_elem_alarm_status, trap_perceived_severity) = mibBuilder.importSymbols('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp', 'trapNetworkElemModelNumber', 'trapNetworkElemAvailStatus', 'trapChangedValueDisplayString', 'trapChangedValueInteger', 'trapNetworkElemSerialNum', 'trapNetworkElemOperState', 'trapNetworkElemAdminState', 'trapChangedObjectId', 'trapText', 'trapIdentifier', 'trapNetworkElemAlarmStatus', 'trapPerceivedSeverity') (notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance') (sys_up_time,) = mibBuilder.importSymbols('SNMPv2-MIB', 'sysUpTime') (iso, ip_address, unsigned32, mib_identifier, counter64, integer32, counter32, notification_type, time_ticks, bits, module_identity, notification_type, gauge32, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'iso', 'IpAddress', 'Unsigned32', 'MibIdentifier', 'Counter64', 'Integer32', 'Counter32', 'NotificationType', 'TimeTicks', 'Bits', 'ModuleIdentity', 'NotificationType', 'Gauge32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') class Float(Counter32): pass gx2cm_descriptor = mib_identifier((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 1)) gx2cm_factory_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2)) if mibBuilder.loadTexts: gx2cmFactoryTable.setStatus('mandatory') gx2cm_factory_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmFactoryTableIndex')) if mibBuilder.loadTexts: gx2cmFactoryEntry.setStatus('mandatory') gx2cm_network_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3)) if mibBuilder.loadTexts: gx2cmNetworkTable.setStatus('mandatory') gx2cm_network_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmNetworkTableIndex')) if mibBuilder.loadTexts: gx2cmNetworkEntry.setStatus('mandatory') gx2cm_analog_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4)) if mibBuilder.loadTexts: gx2cmAnalogTable.setStatus('mandatory') gx2cm_analog_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmTableIndex')) if mibBuilder.loadTexts: gx2cmAnalogEntry.setStatus('mandatory') gx2cm_digital_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5)) if mibBuilder.loadTexts: gx2cmDigitalTable.setStatus('mandatory') gx2cm_digital_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmDigitalTableIndex')) if mibBuilder.loadTexts: gx2cmDigitalEntry.setStatus('mandatory') gx2cm_status_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6)) if mibBuilder.loadTexts: gx2cmStatusTable.setStatus('mandatory') gx2cm_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmStatusTableIndex')) if mibBuilder.loadTexts: gx2cmStatusEntry.setStatus('mandatory') gx2cm_amc_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7)) if mibBuilder.loadTexts: gx2cmAMCTable.setStatus('mandatory') gx2cm_amc_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmAMCTableIndex')) if mibBuilder.loadTexts: gx2cmAMCEntry.setStatus('mandatory') gx2cm_security_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8)) if mibBuilder.loadTexts: gx2cmSecurityTable.setStatus('mandatory') gx2cm_security_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmSecurityTableIndex')) if mibBuilder.loadTexts: gx2cmSecurityEntry.setStatus('mandatory') gx2cm_diagnostic_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9)) if mibBuilder.loadTexts: gx2cmDiagnosticTable.setStatus('mandatory') gx2cm_diagnostic_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmDiagnosticTableIndex')) if mibBuilder.loadTexts: gx2cmDiagnosticEntry.setStatus('mandatory') gx2cm_download_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10)) if mibBuilder.loadTexts: gx2cmDownloadTable.setStatus('mandatory') gx2cm_download_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'gx2cmDownloadTableIndex')) if mibBuilder.loadTexts: gx2cmDownloadEntry.setStatus('mandatory') cm_trap_history_table = mib_table((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11)) if mibBuilder.loadTexts: cmTrapHistoryTable.setStatus('mandatory') cm_trap_history_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10)).setIndexNames((0, 'OMNI-gx2CM-MIB', 'cmTrapHistoryTableIndex')) if mibBuilder.loadTexts: cmTrapHistoryEntry.setStatus('mandatory') gx2cm_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmTableIndex.setStatus('mandatory') label_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelModTemp.setStatus('optional') uom_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: uomModTemp.setStatus('optional') major_high_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 4), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: majorHighModTemp.setStatus('mandatory') major_low_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 5), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: majorLowModTemp.setStatus('mandatory') minor_high_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 6), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: minorHighModTemp.setStatus('mandatory') minor_low_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 7), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: minorLowModTemp.setStatus('mandatory') current_value_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 8), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: currentValueModTemp.setStatus('mandatory') state_flag_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFlagModTemp.setStatus('mandatory') min_value_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 10), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: minValueModTemp.setStatus('optional') max_value_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 11), float()).setMaxAccess('readonly') if mibBuilder.loadTexts: maxValueModTemp.setStatus('optional') alarm_state_mod_temp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 4, 3, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('noAlarm', 1), ('majorLowAlarm', 2), ('minorLowAlarm', 3), ('minorHighAlarm', 4), ('majorHighAlarm', 5), ('informational', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: alarmStateModTemp.setStatus('mandatory') gx2cm_digital_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmDigitalTableIndex.setStatus('mandatory') label_remote_local = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelRemoteLocal.setStatus('obsolete') enum_remote_local = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: enumRemoteLocal.setStatus('obsolete') value_remote_local = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('local', 1), ('remote', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueRemoteLocal.setStatus('obsolete') state_flag_remote_local = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFlagRemoteLocal.setStatus('obsolete') label_reset_slot = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelResetSlot.setStatus('optional') enum_reset_slot = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 7), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: enumResetSlot.setStatus('optional') value_reset_slot = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 8), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueResetSlot.setStatus('mandatory') state_reset_slot = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateResetSlot.setStatus('mandatory') label_id_shelf = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 10), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelIdShelf.setStatus('optional') enum_id_shelf = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 11), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: enumIdShelf.setStatus('optional') value_id_shelf = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueIdShelf.setStatus('mandatory') state_flag_id_shelf = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFlagIdShelf.setStatus('mandatory') label_reset_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelResetAlarm.setStatus('optional') enum_reset_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: enumResetAlarm.setStatus('optional') value_reset_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 16), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueResetAlarm.setStatus('mandatory') state_flag_reset_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 5, 4, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFlagResetAlarm.setStatus('mandatory') gx2cm_status_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmStatusTableIndex.setStatus('mandatory') label_shelf_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelShelfAlarm.setStatus('optional') value_shelf_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('ok', 1), ('undetermined', 2), ('warning', 3), ('minor', 4), ('major', 5), ('critical', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueShelfAlarm.setStatus('mandatory') state_shelf_alarm = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateShelfAlarm.setStatus('mandatory') label_data_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 5), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelDataCrc.setStatus('optional') value_data_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('ok', 1), ('undetermined', 2), ('warning', 3), ('minor', 4), ('major', 5), ('critical', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueDataCrc.setStatus('mandatory') state_data_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateDataCrc.setStatus('mandatory') label_flash_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 8), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelFlashStatus.setStatus('optional') value_flash_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('ok', 1), ('undetermined', 2), ('warning', 3), ('minor', 4), ('major', 5), ('critical', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueFlashStatus.setStatus('mandatory') state_flash_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFlashStatus.setStatus('mandatory') label_boot_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 11), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelBootStatus.setStatus('optional') value_boot_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('ok', 1), ('undetermined', 2), ('warning', 3), ('minor', 4), ('major', 5), ('critical', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueBootStatus.setStatus('mandatory') state_boot_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 13), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateBootStatus.setStatus('mandatory') label_alm_lim_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelAlmLimCrc.setStatus('optional') value_alm_lim_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('ok', 1), ('undetermined', 2), ('warning', 3), ('minor', 4), ('major', 5), ('critical', 6)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueAlmLimCrc.setStatus('mandatory') state_alm_lim_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 6, 5, 16), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateAlmLimCrc.setStatus('mandatory') gx2cm_factory_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmFactoryTableIndex.setStatus('mandatory') boot_control_byte = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 2), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: bootControlByte.setStatus('mandatory') boot_status_byte = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 3), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: bootStatusByte.setStatus('mandatory') bank0_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: bank0CRC.setStatus('mandatory') bank1_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 5), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: bank1CRC.setStatus('mandatory') prg_eeprom_byte = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 6), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: prgEEPROMByte.setStatus('mandatory') factory_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: factoryCRC.setStatus('mandatory') calculate_crc = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 8), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: calculateCRC.setStatus('mandatory') hour_meter = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 9), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: hourMeter.setStatus('mandatory') flash_prg_cnt0 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 10), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: flashPrgCnt0.setStatus('mandatory') flash_prg_cnt1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 11), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: flashPrgCnt1.setStatus('mandatory') flash_bank0 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: flashBank0.setStatus('mandatory') flash_bank1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 13), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: flashBank1.setStatus('mandatory') local_mac_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: localMacAdd.setStatus('mandatory') net_work_mac_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 2, 1, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netWorkMacAdd.setStatus('mandatory') gx2cm_network_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmNetworkTableIndex.setStatus('mandatory') label_local_eth_ip_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelLocalEthIPAdd.setStatus('optional') value_local_eth_ip_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueLocalEthIPAdd.setStatus('mandatory') label_local_eth_mask = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelLocalEthMask.setStatus('optional') value_local_eth_mask = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 5), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueLocalEthMask.setStatus('mandatory') label_network_eth_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelNetworkEthAdd.setStatus('optional') value_network_eth_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 7), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueNetworkEthAdd.setStatus('mandatory') label_network_eth_mask = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 8), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelNetworkEthMask.setStatus('optional') value_network_eth_mask = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 9), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueNetworkEthMask.setStatus('mandatory') label_shelf_serial_num = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 10), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelShelfSerialNum.setStatus('optional') value_shelf_serial_num = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 11), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueShelfSerialNum.setStatus('mandatory') label_gate_way_ip_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelGateWayIPAdd.setStatus('optional') value_gate_way_ip_add = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 13), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueGateWayIPAdd.setStatus('mandatory') label_trap_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 14), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTrapDestination.setStatus('optional') value_trap_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTrapDestination.setStatus('mandatory') label_tft_pserver = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 16), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTFTPserver.setStatus('optional') value_tft_pserver = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 17), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTFTPserver.setStatus('mandatory') label_trap2_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 18), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTrap2Destination.setStatus('optional') value_trap2_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 19), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTrap2Destination.setStatus('mandatory') label_trap3_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 20), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTrap3Destination.setStatus('optional') value_trap3_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 21), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTrap3Destination.setStatus('mandatory') label_trap4_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 22), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTrap4Destination.setStatus('optional') value_trap4_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 23), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTrap4Destination.setStatus('mandatory') label_trap5_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 24), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelTrap5Destination.setStatus('optional') value_trap5_destination = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 25), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueTrap5Destination.setStatus('mandatory') label_isdn_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 26), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelISDNMode.setStatus('optional') value_isdn_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 27), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueISDNMode.setStatus('mandatory') label_isdn_modem_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 28), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelISDNModemIPAddress.setStatus('optional') value_isdn_modem_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 29), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueISDNModemIPAddress.setStatus('mandatory') label_isdn_trap_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 30), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelISDNTrapTimeout.setStatus('optional') value_isdn_trap_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 31), integer32().subtype(subtypeSpec=value_range_constraint(0, 3600))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueISDNTrapTimeout.setStatus('mandatory') label_isdn_ping_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 32), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelISDNPingTimeout.setStatus('optional') value_isdn_ping_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 33), integer32().subtype(subtypeSpec=value_range_constraint(100, 5000))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueISDNPingTimeout.setStatus('mandatory') label_isdn_backoff_timer = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 34), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelISDNBackoffTimer.setStatus('optional') value_isdn_backoff_timer = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 3, 2, 35), integer32().subtype(subtypeSpec=value_range_constraint(0, 3600))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueISDNBackoffTimer.setStatus('mandatory') gx2cm_security_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmSecurityTableIndex.setStatus('mandatory') label_security_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelSecurityMode.setStatus('optional') enum_security_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: enumSecurityMode.setStatus('optional') value_security_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('read-only', 1), ('operator-access', 2), ('factory-access', 3), ('remote-write-only', 4), ('local-write-only', 5)))).setMaxAccess('readonly') if mibBuilder.loadTexts: valueSecurityMode.setStatus('mandatory') state_security_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateSecurityMode.setStatus('mandatory') label_password = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelPassword.setStatus('optional') value_password = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 7), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valuePassword.setStatus('mandatory') state_password = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: statePassword.setStatus('mandatory') label_factory_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 9), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelFactoryChgString.setStatus('optional') value_factory_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 10), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('writeonly') if mibBuilder.loadTexts: valueFactoryChgString.setStatus('mandatory') state_factory_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateFactoryChgString.setStatus('mandatory') label_operator_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelOperatorChgString.setStatus('optional') value_operator_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 13), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('writeonly') if mibBuilder.loadTexts: valueOperatorChgString.setStatus('mandatory') state_operator_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateOperatorChgString.setStatus('mandatory') label_read_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelReadOnlyChgString.setStatus('optional') value_read_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 16), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('writeonly') if mibBuilder.loadTexts: valueReadOnlyChgString.setStatus('mandatory') state_read_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateReadOnlyChgString.setStatus('mandatory') label_remote_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 18), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelRemoteOnlyChgString.setStatus('optional') value_remote_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 19), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('writeonly') if mibBuilder.loadTexts: valueRemoteOnlyChgString.setStatus('mandatory') state_remote_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 20), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateRemoteOnlyChgString.setStatus('mandatory') label_local_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 21), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: labelLocalOnlyChgString.setStatus('optional') value_local_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 22), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('writeonly') if mibBuilder.loadTexts: valueLocalOnlyChgString.setStatus('mandatory') state_local_only_chg_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 8, 7, 23), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('hidden', 1), ('read-only', 2), ('updateable', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: stateLocalOnlyChgString.setStatus('mandatory') gx2cm_amc_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmAMCTableIndex.setStatus('mandatory') value_am_cslot1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot1.setStatus('mandatory') serial_am_cslot1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot1.setStatus('mandatory') agent_idam_cslot1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 4), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot1.setStatus('mandatory') value_am_cslot2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot2.setStatus('mandatory') serial_am_cslot2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot2.setStatus('mandatory') agent_idam_cslot2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 7), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot2.setStatus('mandatory') value_am_cslot3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot3.setStatus('mandatory') serial_am_cslot3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 9), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot3.setStatus('mandatory') agent_idam_cslot3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 10), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot3.setStatus('mandatory') value_am_cslot4 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot4.setStatus('mandatory') serial_am_cslot4 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot4.setStatus('mandatory') agent_idam_cslot4 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 13), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot4.setStatus('mandatory') value_am_cslot5 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot5.setStatus('mandatory') serial_am_cslot5 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 15), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot5.setStatus('mandatory') agent_idam_cslot5 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 16), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot5.setStatus('mandatory') value_am_cslot6 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot6.setStatus('mandatory') serial_am_cslot6 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 18), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot6.setStatus('mandatory') agent_idam_cslot6 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 19), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot6.setStatus('mandatory') value_am_cslot7 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 20), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot7.setStatus('mandatory') serial_am_cslot7 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 21), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot7.setStatus('mandatory') agent_idam_cslot7 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 22), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot7.setStatus('mandatory') value_am_cslot8 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 23), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot8.setStatus('mandatory') serial_am_cslot8 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 24), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot8.setStatus('mandatory') agent_idam_cslot8 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 25), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot8.setStatus('mandatory') value_am_cslot9 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 26), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot9.setStatus('mandatory') serial_am_cslot9 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 27), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot9.setStatus('mandatory') agent_idam_cslot9 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 28), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot9.setStatus('mandatory') value_am_cslot10 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 29), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot10.setStatus('mandatory') serial_am_cslot10 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 30), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot10.setStatus('mandatory') agent_idam_cslot10 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 31), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot10.setStatus('mandatory') value_am_cslot11 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 32), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot11.setStatus('mandatory') serial_am_cslot11 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 33), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot11.setStatus('mandatory') agent_idam_cslot11 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 34), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot11.setStatus('mandatory') value_am_cslot12 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 35), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot12.setStatus('mandatory') serial_am_cslot12 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 36), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot12.setStatus('mandatory') agent_idam_cslot12 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 37), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot12.setStatus('mandatory') value_am_cslot13 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 38), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot13.setStatus('mandatory') serial_am_cslot13 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 39), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot13.setStatus('mandatory') agent_idam_cslot13 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 40), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot13.setStatus('mandatory') value_am_cslot14 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 41), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot14.setStatus('mandatory') serial_am_cslot14 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 42), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot14.setStatus('mandatory') agent_idam_cslot14 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 43), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot14.setStatus('mandatory') value_am_cslot15 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 44), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot15.setStatus('mandatory') serial_am_cslot15 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 45), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot15.setStatus('mandatory') agent_idam_cslot15 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 46), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot15.setStatus('mandatory') value_am_cslot16 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 47), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot16.setStatus('mandatory') serial_am_cslot16 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 48), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot16.setStatus('mandatory') agent_idam_cslot16 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 49), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot16.setStatus('mandatory') value_am_cslot17 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 50), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot17.setStatus('mandatory') serial_am_cslot17 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 51), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot17.setStatus('mandatory') agent_idam_cslot17 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 52), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot17.setStatus('mandatory') value_am_cslot18 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 53), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('force', 3)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: valueAMCslot18.setStatus('mandatory') serial_am_cslot18 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 54), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: serialAMCslot18.setStatus('mandatory') agent_idam_cslot18 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 55), integer32()).setMaxAccess('readonly') if mibBuilder.loadTexts: agentIDAMCslot18.setStatus('mandatory') auto_quick_swap_cnt = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 7, 6, 56), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('timeroff', 1), ('onehour', 2), ('oneday', 3), ('oneweek', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: autoQuickSwapCnt.setStatus('mandatory') gx2cm_diagnostic_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmDiagnosticTableIndex.setStatus('mandatory') led_test_value = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: ledTestValue.setStatus('mandatory') bp_test_cnt = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 3), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: bpTestCnt.setStatus('mandatory') success_trans_slot1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 4), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot1.setStatus('mandatory') success_trans_slot2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot2.setStatus('mandatory') success_trans_slot3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 6), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot3.setStatus('mandatory') success_trans_slot4 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 7), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot4.setStatus('mandatory') success_trans_slot5 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 8), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot5.setStatus('mandatory') success_trans_slot6 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 9), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot6.setStatus('mandatory') success_trans_slot7 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 10), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot7.setStatus('mandatory') success_trans_slot8 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 11), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot8.setStatus('mandatory') success_trans_slot9 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 12), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot9.setStatus('mandatory') success_trans_slot10 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 13), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot10.setStatus('mandatory') success_trans_slot11 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 14), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot11.setStatus('mandatory') success_trans_slot12 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 15), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot12.setStatus('mandatory') success_trans_slot13 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 16), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot13.setStatus('mandatory') success_trans_slot14 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 17), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot14.setStatus('mandatory') success_trans_slot15 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 18), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot15.setStatus('mandatory') success_trans_slot16 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 19), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot16.setStatus('mandatory') success_trans_slot17 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 20), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot17.setStatus('mandatory') success_trans_slot18 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 21), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: successTransSlot18.setStatus('mandatory') failure_trans_slot1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 22), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot1.setStatus('mandatory') failure_trans_slot2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 23), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot2.setStatus('mandatory') failure_trans_slot3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 24), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot3.setStatus('mandatory') failure_trans_slot4 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 25), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot4.setStatus('mandatory') failure_trans_slot5 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 26), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot5.setStatus('mandatory') failure_trans_slot6 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 27), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot6.setStatus('mandatory') failure_trans_slot7 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 28), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot7.setStatus('mandatory') failure_trans_slot8 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 29), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot8.setStatus('mandatory') failure_trans_slot9 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 30), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot9.setStatus('mandatory') failure_trans_slot10 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 31), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot10.setStatus('mandatory') failure_trans_slot11 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 32), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot11.setStatus('mandatory') failure_trans_slot12 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 33), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot12.setStatus('mandatory') failure_trans_slot13 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 34), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot13.setStatus('mandatory') failure_trans_slot14 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 35), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot14.setStatus('mandatory') failure_trans_slot15 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 36), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot15.setStatus('mandatory') failure_trans_slot16 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 37), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot16.setStatus('mandatory') failure_trans_slot17 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 38), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot17.setStatus('mandatory') failure_trans_slot18 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 39), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: failureTransSlot18.setStatus('mandatory') fan_test_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 40), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: fanTestMode.setStatus('mandatory') fan_control = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 41), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: fanControl.setStatus('mandatory') relay_test_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 42), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: relayTestMode.setStatus('mandatory') relay_control = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 43), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('open', 1), ('closed', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: relayControl.setStatus('mandatory') slot_poll_mode = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 44), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('off', 1), ('on', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: slotPollMode.setStatus('mandatory') boot_count = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 45), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: bootCount.setStatus('mandatory') object_table_data = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 46), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: objectTableData.setStatus('mandatory') set_sys_time = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 9, 8, 47), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: setSysTime.setStatus('mandatory') gx2cm_download_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 4294967295))).setMaxAccess('readonly') if mibBuilder.loadTexts: gx2cmDownloadTableIndex.setStatus('mandatory') download_value = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 2), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: downloadValue.setStatus('mandatory') auto_download_reset = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('deactivate', 1), ('activate', 2)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: autoDownloadReset.setStatus('mandatory') download_filename = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readwrite') if mibBuilder.loadTexts: downloadFilename.setStatus('mandatory') download_state = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 5), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: downloadState.setStatus('mandatory') switch_fw_bank = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 10, 9, 6), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: switchFwBank.setStatus('mandatory') cm_trap_history_table_index = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 1), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: cmTrapHistoryTableIndex.setStatus('mandatory') netrap_id = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 2), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapId.setStatus('mandatory') netrap_network_elem_model_number = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemModelNumber.setStatus('mandatory') netrap_network_elem_serial_num = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemSerialNum.setStatus('mandatory') netrap_perceived_severity = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 5), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapPerceivedSeverity.setStatus('mandatory') netrap_network_elem_oper_state = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 6), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemOperState.setStatus('mandatory') netrap_network_elem_alarm_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 7), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemAlarmStatus.setStatus('mandatory') netrap_network_elem_admin_state = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 8), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemAdminState.setStatus('mandatory') netrap_network_elem_avail_status = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 9), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapNetworkElemAvailStatus.setStatus('mandatory') netrap_text = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 10), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapText.setStatus('mandatory') netrap_last_trap_time_stamp = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 11), time_ticks()).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapLastTrapTimeStamp.setStatus('mandatory') netrap_changed_object_id = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 12), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapChangedObjectId.setStatus('mandatory') netrap_additional_info_integer1 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 13), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapAdditionalInfoInteger1.setStatus('mandatory') netrap_additional_info_integer2 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 14), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapAdditionalInfoInteger2.setStatus('mandatory') netrap_additional_info_integer3 = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 15), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapAdditionalInfoInteger3.setStatus('mandatory') netrap_changed_value_display_string = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 16), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapChangedValueDisplayString.setStatus('mandatory') netrap_changed_value_oid = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 17), display_string().subtype(subtypeSpec=value_size_constraint(0, 80))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapChangedValueOID.setStatus('mandatory') netrap_changed_value_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 18), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapChangedValueIpAddress.setStatus('mandatory') netrap_changed_value_integer = mib_table_column((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3, 11, 10, 19), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: netrapChangedValueInteger.setStatus('mandatory') trap_cm_config_change_integer = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 1)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_config_change_display_string = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 2)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueDisplayString'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_module_temp_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 3)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cmeeprom_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 4)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_flash_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 5)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_hardware_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 6)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_init_eeprom_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 7)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) trap_cm_boot_alarm = notification_type((1, 3, 6, 1, 4, 1, 1166, 6, 1, 2, 3) + (0, 8)).setObjects(('NLSBBN-TRAPS-MIB', 'trapIdentifier'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemModelNumber'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemSerialNum'), ('NLSBBN-TRAPS-MIB', 'trapPerceivedSeverity'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemOperState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAlarmStatus'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAdminState'), ('NLSBBN-TRAPS-MIB', 'trapNetworkElemAvailStatus'), ('NLSBBN-TRAPS-MIB', 'trapText'), ('NLSBBN-TRAPS-MIB', 'trapChangedObjectId'), ('NLSBBN-TRAPS-MIB', 'trapChangedValueInteger'), ('NLSBBN-TRAPS-MIB', 'trapNETrapLastTrapTimeStamp')) mibBuilder.exportSymbols('OMNI-gx2CM-MIB', successTransSlot18=successTransSlot18, valueISDNPingTimeout=valueISDNPingTimeout, valueAMCslot11=valueAMCslot11, failureTransSlot4=failureTransSlot4, gx2cmNetworkTableIndex=gx2cmNetworkTableIndex, successTransSlot13=successTransSlot13, failureTransSlot13=failureTransSlot13, failureTransSlot16=failureTransSlot16, trapCMFlashAlarm=trapCMFlashAlarm, successTransSlot8=successTransSlot8, netrapChangedValueDisplayString=netrapChangedValueDisplayString, labelTrap2Destination=labelTrap2Destination, gx2cmStatusTable=gx2cmStatusTable, alarmStateModTemp=alarmStateModTemp, relayControl=relayControl, successTransSlot15=successTransSlot15, netrapNetworkElemModelNumber=netrapNetworkElemModelNumber, enumRemoteLocal=enumRemoteLocal, gx2cmDescriptor=gx2cmDescriptor, agentIDAMCslot12=agentIDAMCslot12, valueLocalEthIPAdd=valueLocalEthIPAdd, valueNetworkEthAdd=valueNetworkEthAdd, netrapNetworkElemSerialNum=netrapNetworkElemSerialNum, valueIdShelf=valueIdShelf, gx2cmDigitalEntry=gx2cmDigitalEntry, netrapId=netrapId, gx2cmDigitalTableIndex=gx2cmDigitalTableIndex, serialAMCslot18=serialAMCslot18, bootCount=bootCount, factoryCRC=factoryCRC, stateFlagResetAlarm=stateFlagResetAlarm, labelTFTPserver=labelTFTPserver, trapCMConfigChangeInteger=trapCMConfigChangeInteger, agentIDAMCslot1=agentIDAMCslot1, enumIdShelf=enumIdShelf, minorHighModTemp=minorHighModTemp, successTransSlot2=successTransSlot2, flashPrgCnt0=flashPrgCnt0, autoDownloadReset=autoDownloadReset, trapCMInitEEPROMAlarm=trapCMInitEEPROMAlarm, labelTrap5Destination=labelTrap5Destination, majorLowModTemp=majorLowModTemp, gx2cmSecurityEntry=gx2cmSecurityEntry, gx2cmAMCTable=gx2cmAMCTable, currentValueModTemp=currentValueModTemp, successTransSlot1=successTransSlot1, serialAMCslot4=serialAMCslot4, serialAMCslot8=serialAMCslot8, valueResetSlot=valueResetSlot, enumSecurityMode=enumSecurityMode, successTransSlot10=successTransSlot10, switchFwBank=switchFwBank, stateOperatorChgString=stateOperatorChgString, agentIDAMCslot15=agentIDAMCslot15, hourMeter=hourMeter, stateBootStatus=stateBootStatus, valueTrap3Destination=valueTrap3Destination, valueISDNBackoffTimer=valueISDNBackoffTimer, stateFlagIdShelf=stateFlagIdShelf, labelReadOnlyChgString=labelReadOnlyChgString, netrapNetworkElemAvailStatus=netrapNetworkElemAvailStatus, gx2cmDiagnosticTableIndex=gx2cmDiagnosticTableIndex, failureTransSlot2=failureTransSlot2, labelTrap3Destination=labelTrap3Destination, gx2cmDownloadTableIndex=gx2cmDownloadTableIndex, autoQuickSwapCnt=autoQuickSwapCnt, netrapLastTrapTimeStamp=netrapLastTrapTimeStamp, labelLocalOnlyChgString=labelLocalOnlyChgString, valueAMCslot4=valueAMCslot4, labelRemoteLocal=labelRemoteLocal, serialAMCslot2=serialAMCslot2, agentIDAMCslot11=agentIDAMCslot11, labelISDNTrapTimeout=labelISDNTrapTimeout, valueISDNTrapTimeout=valueISDNTrapTimeout, valueAMCslot17=valueAMCslot17, valueAMCslot16=valueAMCslot16, failureTransSlot7=failureTransSlot7, trapCMConfigChangeDisplayString=trapCMConfigChangeDisplayString, valueTrap2Destination=valueTrap2Destination, gx2cmAMCEntry=gx2cmAMCEntry, valueAMCslot3=valueAMCslot3, valueResetAlarm=valueResetAlarm, labelModTemp=labelModTemp, valueReadOnlyChgString=valueReadOnlyChgString, valueAMCslot7=valueAMCslot7, valueAMCslot6=valueAMCslot6, labelResetAlarm=labelResetAlarm, calculateCRC=calculateCRC, Float=Float, stateShelfAlarm=stateShelfAlarm, stateFactoryChgString=stateFactoryChgString, serialAMCslot9=serialAMCslot9, agentIDAMCslot13=agentIDAMCslot13, successTransSlot3=successTransSlot3, failureTransSlot15=failureTransSlot15, downloadValue=downloadValue, netrapPerceivedSeverity=netrapPerceivedSeverity, serialAMCslot17=serialAMCslot17, stateLocalOnlyChgString=stateLocalOnlyChgString, labelFactoryChgString=labelFactoryChgString, agentIDAMCslot3=agentIDAMCslot3, netrapNetworkElemOperState=netrapNetworkElemOperState, gx2cmStatusEntry=gx2cmStatusEntry, gx2cmNetworkTable=gx2cmNetworkTable, netrapChangedValueInteger=netrapChangedValueInteger, valueAMCslot14=valueAMCslot14, valueLocalEthMask=valueLocalEthMask, minValueModTemp=minValueModTemp, gx2cmDiagnosticTable=gx2cmDiagnosticTable, labelISDNMode=labelISDNMode, labelOperatorChgString=labelOperatorChgString, valueAMCslot13=valueAMCslot13, stateFlagModTemp=stateFlagModTemp, stateFlagRemoteLocal=stateFlagRemoteLocal, stateRemoteOnlyChgString=stateRemoteOnlyChgString, valueNetworkEthMask=valueNetworkEthMask, valueTrapDestination=valueTrapDestination, valuePassword=valuePassword, gx2cmSecurityTable=gx2cmSecurityTable, serialAMCslot7=serialAMCslot7, setSysTime=setSysTime, netrapNetworkElemAlarmStatus=netrapNetworkElemAlarmStatus, gx2cmTableIndex=gx2cmTableIndex, labelFlashStatus=labelFlashStatus, enumResetAlarm=enumResetAlarm, agentIDAMCslot10=agentIDAMCslot10, agentIDAMCslot17=agentIDAMCslot17, stateSecurityMode=stateSecurityMode, cmTrapHistoryEntry=cmTrapHistoryEntry, agentIDAMCslot7=agentIDAMCslot7, labelDataCrc=labelDataCrc, labelAlmLimCrc=labelAlmLimCrc, valueISDNMode=valueISDNMode, netrapText=netrapText, valueAMCslot15=valueAMCslot15, labelBootStatus=labelBootStatus, stateReadOnlyChgString=stateReadOnlyChgString, failureTransSlot9=failureTransSlot9, valueAMCslot1=valueAMCslot1, gx2cmNetworkEntry=gx2cmNetworkEntry, valueAMCslot9=valueAMCslot9, trapCMEEPROMAlarm=trapCMEEPROMAlarm, valueTFTPserver=valueTFTPserver, valueAMCslot12=valueAMCslot12, failureTransSlot17=failureTransSlot17, serialAMCslot10=serialAMCslot10, labelPassword=labelPassword, serialAMCslot13=serialAMCslot13, labelIdShelf=labelIdShelf, valueBootStatus=valueBootStatus, gx2cmStatusTableIndex=gx2cmStatusTableIndex, bootStatusByte=bootStatusByte, valueAMCslot2=valueAMCslot2, gx2cmFactoryEntry=gx2cmFactoryEntry, maxValueModTemp=maxValueModTemp, labelRemoteOnlyChgString=labelRemoteOnlyChgString, agentIDAMCslot18=agentIDAMCslot18, valueLocalOnlyChgString=valueLocalOnlyChgString, flashBank0=flashBank0, failureTransSlot6=failureTransSlot6, valueSecurityMode=valueSecurityMode, valueGateWayIPAdd=valueGateWayIPAdd, bank0CRC=bank0CRC, valueFlashStatus=valueFlashStatus, valueAMCslot18=valueAMCslot18, gx2cmDigitalTable=gx2cmDigitalTable, valueTrap5Destination=valueTrap5Destination, serialAMCslot5=serialAMCslot5, stateDataCrc=stateDataCrc, labelTrap4Destination=labelTrap4Destination, gx2cmFactoryTableIndex=gx2cmFactoryTableIndex, serialAMCslot16=serialAMCslot16, ledTestValue=ledTestValue, failureTransSlot3=failureTransSlot3, valueAMCslot8=valueAMCslot8, failureTransSlot5=failureTransSlot5, failureTransSlot10=failureTransSlot10, localMacAdd=localMacAdd, valueRemoteOnlyChgString=valueRemoteOnlyChgString, bank1CRC=bank1CRC, prgEEPROMByte=prgEEPROMByte, gx2cmDownloadEntry=gx2cmDownloadEntry, labelNetworkEthAdd=labelNetworkEthAdd, failureTransSlot14=failureTransSlot14, successTransSlot14=successTransSlot14, valueRemoteLocal=valueRemoteLocal, majorHighModTemp=majorHighModTemp, valueAMCslot5=valueAMCslot5, netrapNetworkElemAdminState=netrapNetworkElemAdminState, agentIDAMCslot5=agentIDAMCslot5, serialAMCslot12=serialAMCslot12, netrapAdditionalInfoInteger1=netrapAdditionalInfoInteger1, agentIDAMCslot4=agentIDAMCslot4, labelTrapDestination=labelTrapDestination, labelResetSlot=labelResetSlot, labelShelfAlarm=labelShelfAlarm, cmTrapHistoryTable=cmTrapHistoryTable, downloadFilename=downloadFilename, labelLocalEthIPAdd=labelLocalEthIPAdd, failureTransSlot18=failureTransSlot18, successTransSlot7=successTransSlot7, valueTrap4Destination=valueTrap4Destination, stateFlashStatus=stateFlashStatus, labelNetworkEthMask=labelNetworkEthMask, serialAMCslot6=serialAMCslot6, successTransSlot11=successTransSlot11, stateResetSlot=stateResetSlot, labelShelfSerialNum=labelShelfSerialNum, successTransSlot6=successTransSlot6, enumResetSlot=enumResetSlot, agentIDAMCslot6=agentIDAMCslot6, valueDataCrc=valueDataCrc, labelSecurityMode=labelSecurityMode, agentIDAMCslot14=agentIDAMCslot14, failureTransSlot11=failureTransSlot11, uomModTemp=uomModTemp, relayTestMode=relayTestMode, agentIDAMCslot9=agentIDAMCslot9, cmTrapHistoryTableIndex=cmTrapHistoryTableIndex, flashPrgCnt1=flashPrgCnt1, labelLocalEthMask=labelLocalEthMask, successTransSlot9=successTransSlot9, netrapAdditionalInfoInteger2=netrapAdditionalInfoInteger2, gx2cmFactoryTable=gx2cmFactoryTable, valueShelfAlarm=valueShelfAlarm, statePassword=statePassword, serialAMCslot1=serialAMCslot1, objectTableData=objectTableData, bootControlByte=bootControlByte, gx2cmAnalogTable=gx2cmAnalogTable, gx2cmDownloadTable=gx2cmDownloadTable, stateAlmLimCrc=stateAlmLimCrc, valueISDNModemIPAddress=valueISDNModemIPAddress, successTransSlot12=successTransSlot12, failureTransSlot12=failureTransSlot12, labelISDNPingTimeout=labelISDNPingTimeout, downloadState=downloadState, netrapChangedValueOID=netrapChangedValueOID, agentIDAMCslot16=agentIDAMCslot16, netWorkMacAdd=netWorkMacAdd, valueAlmLimCrc=valueAlmLimCrc, labelISDNModemIPAddress=labelISDNModemIPAddress, successTransSlot17=successTransSlot17, serialAMCslot14=serialAMCslot14, netrapChangedObjectId=netrapChangedObjectId, netrapAdditionalInfoInteger3=netrapAdditionalInfoInteger3, flashBank1=flashBank1, trapCMHardwareAlarm=trapCMHardwareAlarm, bpTestCnt=bpTestCnt, gx2cmAMCTableIndex=gx2cmAMCTableIndex, successTransSlot16=successTransSlot16, trapCMModuleTempAlarm=trapCMModuleTempAlarm, valueFactoryChgString=valueFactoryChgString, fanTestMode=fanTestMode) mibBuilder.exportSymbols('OMNI-gx2CM-MIB', gx2cmSecurityTableIndex=gx2cmSecurityTableIndex, minorLowModTemp=minorLowModTemp, serialAMCslot3=serialAMCslot3, valueOperatorChgString=valueOperatorChgString, netrapChangedValueIpAddress=netrapChangedValueIpAddress, agentIDAMCslot2=agentIDAMCslot2, labelGateWayIPAdd=labelGateWayIPAdd, trapCMBootAlarm=trapCMBootAlarm, agentIDAMCslot8=agentIDAMCslot8, slotPollMode=slotPollMode, successTransSlot4=successTransSlot4, gx2cmAnalogEntry=gx2cmAnalogEntry, gx2cmDiagnosticEntry=gx2cmDiagnosticEntry, valueShelfSerialNum=valueShelfSerialNum, labelISDNBackoffTimer=labelISDNBackoffTimer, valueAMCslot10=valueAMCslot10, serialAMCslot11=serialAMCslot11, serialAMCslot15=serialAMCslot15, successTransSlot5=successTransSlot5, fanControl=fanControl, failureTransSlot8=failureTransSlot8, failureTransSlot1=failureTransSlot1)
# -*- coding: utf-8 -*- # Copyright 2021 Cohesity Inc. class OracleDBConfigRedoLogGroupConf(object): """Implementation of the 'OracleDBConfig_RedoLogGroupConf' model. GROUP1 : {DST1/CH1.log, DST2/CH1.log} GROUP2 : {DST1/CH2.log, DST2/CH2.log} GROUP3 : {DST1/CH3.log, DST2/CH3.log} Attributes: group_member_vec (list of string): List of members of this redo log group. member_prefix (string): Log member name prefix. num_groups (int): Number of redo log groups. size_mb (int): Size of the member in MB. """ # Create a mapping from Model property names to API property names _names = { "group_member_vec":'groupMemberVec', "member_prefix":'memberPrefix', "num_groups":'numGroups', "size_mb":'sizeMb' } def __init__(self, group_member_vec=None, member_prefix=None, num_groups=None, size_mb=None): """Constructor for the OracleDBConfigRedoLogGroupConf class""" # Initialize members of the class self.group_member_vec = group_member_vec self.member_prefix = member_prefix self.num_groups = num_groups self.size_mb = size_mb @classmethod def from_dictionary(cls, dictionary): """Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the object as obtained from the deserialization of the server's response. The keys MUST match property names in the API description. Returns: object: An instance of this structure class. """ if dictionary is None: return None # Extract variables from the dictionary group_member_vec = dictionary.get('groupMemberVec') member_prefix = dictionary.get('memberPrefix') num_groups = dictionary.get('numGroups') size_mb = dictionary.get('sizeMb') # Return an object of this model return cls(group_member_vec, member_prefix, num_groups, size_mb)
class Oracledbconfigredologgroupconf(object): """Implementation of the 'OracleDBConfig_RedoLogGroupConf' model. GROUP1 : {DST1/CH1.log, DST2/CH1.log} GROUP2 : {DST1/CH2.log, DST2/CH2.log} GROUP3 : {DST1/CH3.log, DST2/CH3.log} Attributes: group_member_vec (list of string): List of members of this redo log group. member_prefix (string): Log member name prefix. num_groups (int): Number of redo log groups. size_mb (int): Size of the member in MB. """ _names = {'group_member_vec': 'groupMemberVec', 'member_prefix': 'memberPrefix', 'num_groups': 'numGroups', 'size_mb': 'sizeMb'} def __init__(self, group_member_vec=None, member_prefix=None, num_groups=None, size_mb=None): """Constructor for the OracleDBConfigRedoLogGroupConf class""" self.group_member_vec = group_member_vec self.member_prefix = member_prefix self.num_groups = num_groups self.size_mb = size_mb @classmethod def from_dictionary(cls, dictionary): """Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the object as obtained from the deserialization of the server's response. The keys MUST match property names in the API description. Returns: object: An instance of this structure class. """ if dictionary is None: return None group_member_vec = dictionary.get('groupMemberVec') member_prefix = dictionary.get('memberPrefix') num_groups = dictionary.get('numGroups') size_mb = dictionary.get('sizeMb') return cls(group_member_vec, member_prefix, num_groups, size_mb)
str = input().strip() n = int(input()) def check(s): if s=='a'or s=='e' or s=='i' or s=='o' or s=='u': return True return False def non_vowels(str,n): i,index =0,0 start = 0 res = 0 non_vowels = 0 disturb_flag = True while index<len(str): if disturb_flag: if not check(str[index]): non_vowels +=1 else: if not check(str[start]) and check(str[index]): non_vowels -=1 elif not check(str[index]): non_vowels +=1 if non_vowels<n: disturb_flag = True start +=1 if disturb_flag and non_vowels>=n: if res==0: res = index +1 else: res = res+1 disturb_flag = False index +=1 if disturb_flag: return -1 return res res = non_vowels(str,n) print(res)
str = input().strip() n = int(input()) def check(s): if s == 'a' or s == 'e' or s == 'i' or (s == 'o') or (s == 'u'): return True return False def non_vowels(str, n): (i, index) = (0, 0) start = 0 res = 0 non_vowels = 0 disturb_flag = True while index < len(str): if disturb_flag: if not check(str[index]): non_vowels += 1 else: if not check(str[start]) and check(str[index]): non_vowels -= 1 elif not check(str[index]): non_vowels += 1 if non_vowels < n: disturb_flag = True start += 1 if disturb_flag and non_vowels >= n: if res == 0: res = index + 1 else: res = res + 1 disturb_flag = False index += 1 if disturb_flag: return -1 return res res = non_vowels(str, n) print(res)
low = int(input()) high = int(input()) x = int(input()) #first from bottom num = low while num <=high: tverrsum = sum([int(i) for i in str(num)]) if tverrsum == x: print(num) break num+=1 #first from top num = high while num >= low: tverrsum = sum([int(i) for i in str(num)]) if tverrsum == x: print(num) break num-=1
low = int(input()) high = int(input()) x = int(input()) num = low while num <= high: tverrsum = sum([int(i) for i in str(num)]) if tverrsum == x: print(num) break num += 1 num = high while num >= low: tverrsum = sum([int(i) for i in str(num)]) if tverrsum == x: print(num) break num -= 1
PLAYGROUND = """ <!DOCTYPE html> <html> <head> <meta charset=utf-8/> <meta name="viewport" content="user-scalable=no, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, minimal-ui"> <title>GraphQL Playground</title> <link rel="stylesheet" href="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/static/css/index.css" /> <link rel="shortcut icon" href="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/favicon.png" /> <script src="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/static/js/middleware.js"></script> </head> <body> <div id="root"> <style> body { background-color: rgb(23, 42, 58); font-family: Open Sans, sans-serif; height: 90vh; } #root { height: 100%; width: 100%; display: flex; align-items: center; justify-content: center; } .loading { font-size: 32px; font-weight: 200; color: rgba(255, 255, 255, .6); margin-left: 20px; } img { width: 78px; height: 78px; } .title { font-weight: 400; } </style> <img src='//cdn.jsdelivr.net/npm/graphql-playground-react/build/logo.png' alt=''> <div class="loading"> Loading <span class="title">GraphQL Playground</span> </div> </div> <script>window.addEventListener('load', function (event) { GraphQLPlayground.init(document.getElementById('root'), { // options as 'endpoint' belong here }) })</script> </body> </html> """
playground = '\n<!DOCTYPE html>\n<html>\n<head>\n <meta charset=utf-8/>\n <meta name="viewport" content="user-scalable=no, initial-scale=1.0, minimum-scale=1.0, maximum-scale=1.0, minimal-ui">\n <title>GraphQL Playground</title>\n <link rel="stylesheet" href="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/static/css/index.css" />\n <link rel="shortcut icon" href="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/favicon.png" />\n <script src="//cdn.jsdelivr.net/npm/graphql-playground-react@1.7.8/build/static/js/middleware.js"></script>\n</head>\n<body>\n <div id="root">\n <style>\n body {\n background-color: rgb(23, 42, 58);\n font-family: Open Sans, sans-serif;\n height: 90vh;\n }\n #root {\n height: 100%;\n width: 100%;\n display: flex;\n align-items: center;\n justify-content: center;\n }\n .loading {\n font-size: 32px;\n font-weight: 200;\n color: rgba(255, 255, 255, .6);\n margin-left: 20px;\n }\n img {\n width: 78px;\n height: 78px;\n }\n .title {\n font-weight: 400;\n }\n </style>\n <img src=\'//cdn.jsdelivr.net/npm/graphql-playground-react/build/logo.png\' alt=\'\'>\n <div class="loading"> Loading\n <span class="title">GraphQL Playground</span>\n </div>\n </div>\n <script>window.addEventListener(\'load\', function (event) {\n GraphQLPlayground.init(document.getElementById(\'root\'), {\n // options as \'endpoint\' belong here\n })\n })</script>\n</body>\n</html>\n'
print("Python Program to print the sum and average of natural numbers!") limit = int(input("Enter the limit of numbers:")) sumOfNumbers = (limit * (limit + 1)) / 2 averageOfNumbers = sumOfNumbers / limit print("The sum of", limit, "natural numbers is", sumOfNumbers) print("The Average of", limit, "natural number is", averageOfNumbers)
print('Python Program to print the sum and average of natural numbers!') limit = int(input('Enter the limit of numbers:')) sum_of_numbers = limit * (limit + 1) / 2 average_of_numbers = sumOfNumbers / limit print('The sum of', limit, 'natural numbers is', sumOfNumbers) print('The Average of', limit, 'natural number is', averageOfNumbers)
"""This module was written by Gerd Woetzel: http://mail.python.org/pipermail/python-list/2005-January/261304.html This module is derived from Modules/rotormodule.c and translated into Python. I have appended the Copyright by Lance Ellinghouse below. The rotor module has been removed from the Python 2.4 distribution because the rotor module uses an insecure algorithm and is deprecated. ============================================================== Of course, this does still hold. However, I think this module might be used and adapted for demonstration purposes and might help some poor users who have encrypted (or obfuscated) some old stuff with the rotor module and have no access to older Python versions any more. Documentation can be found in Python Library Reference, Guido van Rossum, Fred L. Drake, Jr., editor, PythonLabs, Release 2.3.4 May 20, 2004 <http://www.python.org/doc/2.3.4/lib/module-rotor.html> ##################################################################### Copyright 1994 by Lance Ellinghouse, Cathedral City, California Republic, United States of America. All Rights Reserved Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Lance Ellinghouse not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. LANCE ELLINGHOUSE DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL LANCE ELLINGHOUSE BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. ##################################################################### """ class newrotor(object): def __init__(self, key, n_rotors=6): self.n_rotors = n_rotors self.setkey(key) def setkey(self, key): self.key = key self.rotors = None self.positions = [None, None] def encrypt(self, buf): # Reset (encrypt) positions and encryptmore self.positions[0] = None return self.cryptmore(buf, 0) def encryptmore(self, buf): return self.cryptmore(buf, 0) def decrypt(self, buf): # Reset decrypt positions and decryptmore self.positions[1] = None return self.cryptmore(buf, 1) def decryptmore(self, buf): return self.cryptmore(buf, 1) def cryptmore(self, buf, do_decrypt): size, nr, rotors, pos = self.get_rotors(do_decrypt) outbuf = [] append = outbuf.append for c in map(ord, buf): if do_decrypt: # Apply decrypt rotors and xor in reverse order for i in xrange(nr-1,-1,-1): c = pos[i] ^ rotors[i][c] else: # Apply xor and ecrypt rotors for i in xrange(nr): c = rotors[i][c ^ pos[i]] append(c) # Advance rotors, i.e. add the (fixed) rotor increments to the # variable rotor positions with carry. # Note: In the C-implementation, the result of the carry addition # was stored to an "unsigned char". Hence the next carry # is lost if pos[i] == size-1 and pnew >= size. # Masking with 0xff simulates this behavior. # pnew = 0 # (pnew >= size) works as "carry bit" for i in xrange(nr): pnew = ((pos[i] + (pnew >= size)) & 0xff) + rotors[i][size] pos[i] = pnew % size return ''.join(map(chr, outbuf)) def get_rotors(self, do_decrypt): # Return a tuple (size, nr, rotors, positions) where # - size is the rotor size (== 256, because of 8-bit bytes) # - nr is the number of rotors. # - rotors is a tuple of nr encrypt or nr decrypt rotors # for do_decrypt == 0 or do_decrypt == 1 respectively. # - postions is a list of nr "rotor positions". # # The rotors represent the static aspect of the rotor machine which # is initially computed from key and fixed during en/decryption. # A rotor is a random permutation of range(size) extended # by an "increment value" in range(size). # # The followng statements hold for a tuple of encrypt rotors E and # and the corresponding tuple of decrypt rotors D. # # D[i][E[i][j]] == j for i in range(nr) for j in range(size) # # E[i][D[i][j]] == j for i in range(nr) for j in range(size) # # This means that the corresponding rotors E[i] and D[i] are # inverse permutations. # The increments are equal for the corresponding encrypt and # decrypt rotors and have an odd value: # # D[i][size] == E[i][size] and E[i][size] == 1 mod 2 and # 0 < E[i][size] < size for i in range(nr) # # The position vector represents the dynamic aspect. # It changes after each en/decrypted character (the rotors # are "advanced"). The initial position vector is also computed # from the key # nr = self.n_rotors rotors = self.rotors positions = self.positions[do_decrypt] if positions is None: if rotors: positions = list(rotors[3]) else: # Generate identity permutation for 8-bit bytes plus an # (unused) increment value self.size = size = 256 id_rotor = range(size+1) # Generate nr "random" initial positions and "random" # en/decrypt rotors from id_rotor. # rand = random_func(self.key) E = [] D = [] positions = [] for i in xrange(nr): i = size positions.append(rand(i)) erotor = id_rotor[:] drotor = id_rotor[:] drotor[i] = erotor[i] = 1 + 2*rand(i/2) # increment while i > 1: r = rand(i) i -= 1 er = erotor[r] erotor[r] = erotor[i] erotor[i] = er drotor[er] = i drotor[erotor[0]] = 0 E.append(tuple(erotor)) D.append(tuple(drotor)) self.rotors = rotors = ( tuple(E), tuple(D), size, tuple(positions)) self.positions[do_decrypt] = positions return rotors[2], nr, rotors[do_decrypt], positions def random_func(key): # Generate a random number generator that is "seeded" from key. # This algorithm is copied from Python2.3 randommodule.c. # mask = 0xffff x=995 y=576 z=767 for c in map(ord, key): x = (((x<<3 | x>>13) + c) & mask) y = (((y<<3 | y>>13) ^ c) & mask) z = (((z<<3 | z>>13) - c) & mask) # Emulate (unintended?) cast to short maxpos = mask >> 1 mask += 1 if x > maxpos: x -= mask if y > maxpos: y -= mask if z > maxpos: z -= mask y |= 1 # avoid very bad seed, why not for x and z too? # Oh, dear, for compatibility, we must evaluate the first seed transition # the hard way, later it becomes much simpler x = 171 * (x % 177) - 2 * (x/177) y = 172 * (y % 176) - 35 * (y/176) z = 170 * (z % 178) - 63 * (z/178) if x < 0: x += 30269 if y < 0: y += 30307 if z < 0: z += 30323 # At least all values are > 0 by now but may be greater than expected .. def rand(n, seed=[(x, y, z)]): # Return a random number 0 <= r < n # x, y, z = seed[0] seed[0] = ((171*x) % 30269, (172*y) % 30307, (170*z) % 30323) return int((x/30269.0 + y/30307.0 + z/30323.0) * n) % n # Original code was like this: # from math import floor # val = x/30269.0 + y/30307.0 + z/30323.0 # val = val - floor(val) # if val >= 1.0: # val = 0.0 # n = int(val*n) % n return rand
"""This module was written by Gerd Woetzel: http://mail.python.org/pipermail/python-list/2005-January/261304.html This module is derived from Modules/rotormodule.c and translated into Python. I have appended the Copyright by Lance Ellinghouse below. The rotor module has been removed from the Python 2.4 distribution because the rotor module uses an insecure algorithm and is deprecated. ============================================================== Of course, this does still hold. However, I think this module might be used and adapted for demonstration purposes and might help some poor users who have encrypted (or obfuscated) some old stuff with the rotor module and have no access to older Python versions any more. Documentation can be found in Python Library Reference, Guido van Rossum, Fred L. Drake, Jr., editor, PythonLabs, Release 2.3.4 May 20, 2004 <http://www.python.org/doc/2.3.4/lib/module-rotor.html> ##################################################################### Copyright 1994 by Lance Ellinghouse, Cathedral City, California Republic, United States of America. All Rights Reserved Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of Lance Ellinghouse not be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. LANCE ELLINGHOUSE DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL LANCE ELLINGHOUSE BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. ##################################################################### """ class Newrotor(object): def __init__(self, key, n_rotors=6): self.n_rotors = n_rotors self.setkey(key) def setkey(self, key): self.key = key self.rotors = None self.positions = [None, None] def encrypt(self, buf): self.positions[0] = None return self.cryptmore(buf, 0) def encryptmore(self, buf): return self.cryptmore(buf, 0) def decrypt(self, buf): self.positions[1] = None return self.cryptmore(buf, 1) def decryptmore(self, buf): return self.cryptmore(buf, 1) def cryptmore(self, buf, do_decrypt): (size, nr, rotors, pos) = self.get_rotors(do_decrypt) outbuf = [] append = outbuf.append for c in map(ord, buf): if do_decrypt: for i in xrange(nr - 1, -1, -1): c = pos[i] ^ rotors[i][c] else: for i in xrange(nr): c = rotors[i][c ^ pos[i]] append(c) pnew = 0 for i in xrange(nr): pnew = (pos[i] + (pnew >= size) & 255) + rotors[i][size] pos[i] = pnew % size return ''.join(map(chr, outbuf)) def get_rotors(self, do_decrypt): nr = self.n_rotors rotors = self.rotors positions = self.positions[do_decrypt] if positions is None: if rotors: positions = list(rotors[3]) else: self.size = size = 256 id_rotor = range(size + 1) rand = random_func(self.key) e = [] d = [] positions = [] for i in xrange(nr): i = size positions.append(rand(i)) erotor = id_rotor[:] drotor = id_rotor[:] drotor[i] = erotor[i] = 1 + 2 * rand(i / 2) while i > 1: r = rand(i) i -= 1 er = erotor[r] erotor[r] = erotor[i] erotor[i] = er drotor[er] = i drotor[erotor[0]] = 0 E.append(tuple(erotor)) D.append(tuple(drotor)) self.rotors = rotors = (tuple(E), tuple(D), size, tuple(positions)) self.positions[do_decrypt] = positions return (rotors[2], nr, rotors[do_decrypt], positions) def random_func(key): mask = 65535 x = 995 y = 576 z = 767 for c in map(ord, key): x = (x << 3 | x >> 13) + c & mask y = ((y << 3 | y >> 13) ^ c) & mask z = (z << 3 | z >> 13) - c & mask maxpos = mask >> 1 mask += 1 if x > maxpos: x -= mask if y > maxpos: y -= mask if z > maxpos: z -= mask y |= 1 x = 171 * (x % 177) - 2 * (x / 177) y = 172 * (y % 176) - 35 * (y / 176) z = 170 * (z % 178) - 63 * (z / 178) if x < 0: x += 30269 if y < 0: y += 30307 if z < 0: z += 30323 def rand(n, seed=[(x, y, z)]): (x, y, z) = seed[0] seed[0] = (171 * x % 30269, 172 * y % 30307, 170 * z % 30323) return int((x / 30269.0 + y / 30307.0 + z / 30323.0) * n) % n return rand
_base_ = [ '../_base_/datasets/s3dis_seg-3d-13class.py', '../_base_/models/pointnet2_msg.py', '../_base_/schedules/seg_cosine_50e.py', '../_base_/default_runtime.py' ] # data settings data = dict(samples_per_gpu=16) evaluation = dict(interval=2) # model settings model = dict( backbone=dict(in_channels=9), # [xyz, rgb, normalized_xyz] decode_head=dict( num_classes=13, ignore_index=13, loss_decode=dict(class_weight=None)), # S3DIS doesn't use class_weight test_cfg=dict( num_points=4096, block_size=1.0, sample_rate=0.5, use_normalized_coord=True, batch_size=24)) # runtime settings checkpoint_config = dict(interval=2) # PointNet2-MSG needs longer training time than PointNet2-SSG runner = dict(type='EpochBasedRunner', max_epochs=80)
_base_ = ['../_base_/datasets/s3dis_seg-3d-13class.py', '../_base_/models/pointnet2_msg.py', '../_base_/schedules/seg_cosine_50e.py', '../_base_/default_runtime.py'] data = dict(samples_per_gpu=16) evaluation = dict(interval=2) model = dict(backbone=dict(in_channels=9), decode_head=dict(num_classes=13, ignore_index=13, loss_decode=dict(class_weight=None)), test_cfg=dict(num_points=4096, block_size=1.0, sample_rate=0.5, use_normalized_coord=True, batch_size=24)) checkpoint_config = dict(interval=2) runner = dict(type='EpochBasedRunner', max_epochs=80)
string = str (input()) string_copy = string new_string = string.replace(string[0],string[-1]) new_string = string_copy.replace(string_copy[-1],string_copy[0]) print(new_string)
string = str(input()) string_copy = string new_string = string.replace(string[0], string[-1]) new_string = string_copy.replace(string_copy[-1], string_copy[0]) print(new_string)
#!/usr/bin/env python """ _WMCore_ Core libraries for Workload Management Packages """ __version__ = '1.5.5.pre5' __all__ = []
""" _WMCore_ Core libraries for Workload Management Packages """ __version__ = '1.5.5.pre5' __all__ = []
""" Draft Material. Cannabis Data Science Meetup Group Copyright (c) 2022 Cannlytics Authors: Keegan Skeate <keegan@cannlytics.com> Created: 1/11/2022 Updated: 1/19/2022 License: MIT License <https://opensource.org/licenses/MIT> """ # # Define lab datasets. # lab_datasets = ['LabResults_0', 'LabResults_1', 'LabResults_2'] # # Specify lab result fields. # lab_result_fields = { # 'global_id' : 'string', # 'mme_id' : 'category', # 'intermediate_type' : 'category', # 'status' : 'category', # 'inventory_id' : 'string', # 'cannabinoid_status' : 'category', # 'cannabinoid_d9_thca_percent': 'float16', # 'cannabinoid_d9_thca_mg_g' : 'float16', # 'cannabinoid_d9_thc_percent' : 'float16', # 'cannabinoid_d9_thc_mg_g' : 'float16', # 'cannabinoid_d8_thc_percent' : 'float16', # 'cannabinoid_d8_thc_mg_g' : 'float16', # 'cannabinoid_cbd_percent' : 'float16', # 'cannabinoid_cbd_mg_g' : 'float16', # 'cannabinoid_cbda_percent' : 'float16', # 'cannabinoid_cbda_mg_g' : 'float16', # 'cannabinoid_cbdv_percent' : 'float16', # 'cannabinoid_cbg_percent' : 'float16', # 'cannabinoid_cbg_mg_g' : 'float16', # 'solvent_status' : 'category', # 'solvent_acetone_ppm' : 'float16', # 'solvent_benzene_ppm' : 'float16', # 'solvent_butanes_ppm' : 'float16', # 'solvent_chloroform_ppm' : 'float16', # 'solvent_cyclohexane_ppm' : 'float16', # 'solvent_dichloromethane_ppm' : 'float16', # 'solvent_ethyl_acetate_ppm' : 'float16', # 'solvent_heptane_ppm' : 'float16', # 'solvent_hexanes_ppm' : 'float16', # 'solvent_isopropanol_ppm' : 'float16', # 'solvent_methanol_ppm' : 'float16', # 'solvent_pentanes_ppm' : 'float16', # 'solvent_propane_ppm' : 'float16', # 'solvent_toluene_ppm' : 'float16', # 'solvent_xylene_ppm' : 'float16', # #'foreign_matter' : 'bool', # #'microbial_status' : 'category', # #'microbial_bile_tolerant_cfu_g' : 'float16', # #'microbial_pathogenic_e_coli_cfu_g' : 'float16', # #'microbial_salmonella_cfu_g' : 'float16', # #'moisture_content_percent' : 'float16', # #'moisture_content_water_activity_rate' : 'float16', # #'mycotoxin_status' : 'category', # #'mycotoxin_aflatoxins_ppb' : 'float16', # #'mycotoxin_ochratoxin_ppb' : 'float16', # #'thc_percent' : 'float16', # #'notes' : 'float32', # # 'testing_status' : 'category', # # 'type' : 'category', # #'batch_id' : 'string', # #'parent_lab_result_id' : 'string', # #'og_parent_lab_result_id' : 'string', # #'copied_from_lab_id' : 'string', # #'external_id' : 'string', # #'lab_user_id' : 'string', # #'user_id' : 'string', # #'cannabinoid_editor' : 'float32', # #'microbial_editor' : 'string', # #'mycotoxin_editor' : 'string', # #'solvent_editor' : 'string', # } # lab_result_date_fields = ['created_at'] # lab_result_columns = list(lab_result_fields.keys()) + lab_result_date_fields # # Read in the lab result data. # shards = [] # for dataset in lab_datasets: # lab_data = pd.read_csv( # f'../.datasets/{dataset}.csv', # sep='\t', # encoding='utf-16', # usecols=lab_result_columns, # dtype=lab_result_fields, # parse_dates=lab_result_date_fields, # nrows=1000, # ) # shards.append(lab_data) # del lab_data # gc.collect() # # Aggregate lab data. # lab_results = pd.concat(shards) # del shards # gc.collect() # # Sort the data, removing null observations. # lab_results.dropna(subset=['global_id'], inplace=True) # lab_results.index = lab_results['global_id'] # lab_results = lab_results.sort_index() # # Define a lab ID for each observation and remove attested lab results. # lab_results['lab_id'] = lab_results['global_id'].map(lambda x: x[x.find('WAL'):x.find('.')]) # lab_results = lab_results.loc[lab_results.lab_id != ''] #------------------------------------------------------------------------------ # Combine with licensee data. #------------------------------------------------------------------------------ # # Specify the licensee fields. # licensee_fields = { # 'global_id' : 'string', # 'name': 'string', # 'type': 'string', # # 'code': 'string', # # 'address1': 'string', # # 'address2': 'string', # # 'city': 'string', # # 'state_code': 'string', # # 'postal_code': 'string', # # 'country_code': 'string', # # 'phone': 'string', # # 'external_id': 'string', # # 'certificate_number': 'string', # # 'is_live': 'bool', # # 'suspended': 'bool', # } # licensee_date_fields = [ # 'created_at', # No records if issued before 2018-02-21. # # 'updated_at', # # 'deleted_at', # # 'expired_at', # ] # licensee_columns = list(licensee_fields.keys()) + licensee_date_fields # # # Read in the licensee data. # licensees = pd.read_csv( # '../.datasets/Licensees_0.csv', # sep='\t', # encoding='utf-16', # usecols=licensee_columns, # dtype=licensee_fields, # parse_dates=licensee_date_fields, # ) # # Combine the data sets. # licensees.rename(columns={ # 'global_id': 'licensee_id', # 'created_at': 'license_created_at', # }, inplace=True) # del licensees['created_at'] # data = pd.merge( # left=lab_results, # right=licensees, # how='left', # left_on='mme_id', # right_on='licensee_id' # ) #------------------------------------------------------------------------------ # Optional: Combine with inventory data. #------------------------------------------------------------------------------ # # Specify the inventories fields. # inventory_fields = { # 'global_id' : 'string', # 'strain_id': 'string', # 'inventory_type_id': 'string', # # 'mme_id': 'string', # # 'user_id': 'string', # # 'external_id': 'string', # # 'area_id': 'string', # # 'batch_id': 'string', # # 'lab_result_id': 'string', # # 'lab_retest_id': 'string', # # 'is_initial_inventory': 'bool', # # 'created_by_mme_id': 'string', # # 'qty': 'float16', # # 'uom': 'string', # # 'additives': 'string', # # 'serving_num': 'float16', # # 'sent_for_testing': 'bool', # # 'medically_compliant': 'string', # # 'legacy_id': 'string', # # 'lab_results_attested': 'int', # # 'global_original_id': 'string', # } # inventory_date_fields = [ # # 'created_at', # No records if issued before 2018-02-21. # # 'updated_at', # # 'deleted_at', # # 'inventory_created_at', # # 'inventory_packaged_at', # # 'lab_results_date', # ] # inventory_columns = list(inventory_fields.keys()) + inventory_date_fields # # # Read in the licensee data. # inventories = pd.read_csv( # '../.datasets/Inventories_0.csv', # sep='\t', # encoding='utf-16', # nrows=1000, # usecols=inventory_columns, # dtype=inventory_fields, # parse_dates=inventory_date_fields, # ) # print(inventories) # TODO: Match with inventories (by inventory_id -> global_id) data to get: # TODO: 1. Read in a chunk of inventories data. # fp = open('../.datasets/Inventories_0.csv') # row_count = 0 # pos = {0: 0} # line = fp.readline() # while line: # row_count += 1 # pos[row_count] = fp.tell() # line = fp.readline() # fp.close() # print('Lines:') # chunksize = row_count // 30 # wanted_plts = [1,5,10,15,20,25,30] # for i in wanted_plts: # fp.seek(pos[i*chunksize]) # this will bring you to the first line of the desired chunk # obj = pd.read_csv( # fp, # chunksize=chunksize, # sep='\t', # encoding='utf-16', # usecols=licensee_columns, # dtype=licensee_column_types, # parse_dates=licensee_date_columns, # # names=[!!<column names you have>!!] # ) # read your chunk lazily # # df = obj.get_chunk() # convert to DataFrame object # print(df.head()) # # plt.plot(df["Variable"]) # do something # fp.close() # Don't forget to close the file when finished. # TODO: 2. Process the chunk: # Iterate over lab results, finding matching inventory. # for index, row in lab_results.iterrows(): # inventory_id = row['inventory_id] # result_inventory = inventories.loc[inventories['global_id'] == inventory_id] # Identify global_strain_id, global_inventory_type_id # labResults[0]['strain_name']? # Identify additives? # Add up qty, packed_qty, cost, value, uom? # Set the new variables in the lab_result observation. # TODO: Save all of the aggregated data! # lab_results.to_csv('./data/enhanced_lab_results.csv') # Use global_batch_id to get strain_name? # Optional: Get inventory type ID e.g WAxxx.TYxxx to get used_butane # - name, description, ingredients, allergens, contains # - net_weight, packed_qty, cost, value, uom # - weight_per_unit_in_grams # Get global_strain_id -> Match with strain data global_id to get: # - name #------------------------------------------------------------------------------ # SCRAP: Parsing inventories. #------------------------------------------------------------------------------ # Assign values to lab results. # for index, row in inventories.iterrows(): # s = lab_results.loc[lab_results.global_for_inventory_id == row.global_id] # if len(s): # lab_results.loc[row.global_id , 'inventory_type_id'] = row.qty # lab_results.loc[row.global_id , 'qty'] = row.qty # lab_results.loc[row.global_id , 'uom'] = row.qty # print('Matched', s[0].global_for_inventory_id, 'to', row.global_id) # break # SCRAP: Parsing inventory types. # # Define inventory type fields. # inventory_type_rows = 57_016_229 # inventory_type_fields = { # 'global_id': 'string', # 'name': 'string', # } # # Read inventory type names in chunks. # chunk_size = 1_000_000 # read_rows = 0 # skiprows = None # inventory_names = [] # while read_rows < inventory_type_rows: # if read_rows >= 5_000_000: # break # if read_rows: # skiprows = [i for i in range(1, read_rows)] # # Read in inventory types chunk. # inventory_types = pd.read_csv( # '../.datasets/InventoryTypes_0.csv', # sep='\t', # encoding='utf-16', # usecols=list(inventory_type_fields.keys()), # dtype=inventory_type_fields, # index_col='global_id', # skiprows=skiprows, # nrows=chunk_size, # ) # inventory_types.rename(columns={'name': 'inventory_name'}, inplace=True) # # Keep the necessary fields. # inventory_names.append(inventory_types) # del inventory_types # gc.collect() # read_rows += chunk_size # print('Read:', read_rows) # # Create a small file of inventory type names. # inventory_type_names = pd.concat(inventory_names) # inventory_type_names.to_csv('../.datasets/inventory_type_names.csv') # SCRAP: Get file size. # def get_blocks(files, size=65536): # """Get a block of a file by the given size.""" # while True: # block = files.read(size) # if not block: break # yield block # def get_number_of_rows(file_name, encoding='utf-16', errors='ignore'): # """ # Read the number of lines in a large file. # Credit: glglgl, SU3 <https://stackoverflow.com/a/9631635/5021266> # License: CC BY-SA 3.0 <https://creativecommons.org/licenses/by-sa/3.0/> # """ # with open(file_name, 'r', encoding=encoding, errors=errors) as f: # count = sum(bl.count('\n') for bl in get_blocks(f)) # print('Number of rows:', count) # return count # SCRAP: Reading in chunks of data. # class ChunkReader: # """ # Credit: Valentino <https://stackoverflow.com/a/56408765> # License: CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0/> # """ # def __init__(self, filename, chunksize, n): # self.fo = open(filename) # self.chs = chunksize # self.skiplines = self.chs * n # self.header = next(self.fo) # def getchunk(self): # ll = list(islice(self.fo, self.chs)) # if len(ll) == 0: # raise StopIteration # dd = list(islice(self.fo, self.skiplines)) # return self.header + ''.join(ll) # def __iter__(self): # return self # def __next__(self): # return io.StringIO(self.getchunk()) # def close(self): # self.fo.close() # def __del__(self): # self.fo.close() # import pandas as pd # chunksize = 1000 # file = '../.datasets/Licensees_0.csv' # # Specify the licensee fields # licensee_column_types = { # 'global_id' : 'string', # 'name': 'string', # 'type': 'string', # # 'code': 'string', # # 'address1': 'string', # # 'address2': 'string', # # 'city': 'string', # # 'state_code': 'string', # # 'postal_code': 'string', # # 'country_code': 'string', # # 'phone': 'string', # # 'external_id': 'string', # # 'certificate_number': 'string', # # 'is_live': 'bool', # # 'suspended': 'bool', # } # # Specify the date columns. # licensee_date_columns = [ # 'created_at', # No records if issued before 2018-02-21. # # 'updated_at', # # 'deleted_at', # # 'expired_at', # ] # # Specify all of the columns. # licensee_columns = list(licensee_column_types.keys()) + licensee_date_columns # reader = ChunkReader(file, chunksize, 1) # for dfst in reader: # df = pd.read_csv( # dfst, # sep='\t', # encoding='utf-16', # usecols=licensee_columns, # dtype=licensee_column_types, # parse_dates=licensee_date_columns, # ) # print(df.head()) #here I print to stdout, you can plot # reader.close() # SCRAP: Untried but useful looking way to read chunks of data. # import pandas # from functools import reduce # def get_counts(chunk): # voters_street = chunk[ # "Residential Address Street Name "] # return voters_street.value_counts() # def add(previous_result, new_result): # return previous_result.add(new_result, fill_value=0) # # MapReduce structure: # chunks = pandas.read_csv("voters.csv", chunksize=1000) # processed_chunks = map(get_counts, chunks) # result = reduce(add, processed_chunks) # result.sort_values(ascending=False, inplace=True) # print(result) # # Open enhanced lab results. # enhanced_lab_results = pd.read_csv( # '../.datasets/enhanced_lab_results.csv', # # index_col='global_id', # dtype={ # 'global_id' : 'string', # 'global_for_inventory_id': 'string', # 'lab_id': 'string', # 'inventory_type_id': 'string', # 'strain_id': 'string', # } # ) # Combine lab results merged with licensee data with enhanced lab results. # lab_results = pd.merge( # left=lab_results, # right=enhanced_lab_results, # how='left', # left_on='global_id', # right_on='global_id', # ) # Read in the enhanced lab results data. # enhanced_lab_results = pd.read_csv( # '../.datasets/lab_results_with_strain_names.csv', # # index_col='global_id', # dtype={ # 'global_id' : 'string', # 'global_for_inventory_id': 'string', # 'lab_id': 'string', # 'inventory_type_id': 'string', # 'strain_id': 'string', # } # )
""" Draft Material. Cannabis Data Science Meetup Group Copyright (c) 2022 Cannlytics Authors: Keegan Skeate <keegan@cannlytics.com> Created: 1/11/2022 Updated: 1/19/2022 License: MIT License <https://opensource.org/licenses/MIT> """
class SetupForm(QtWidgets.QWidget): global model model = SetupInformation() def __init__(self): super().__init__() self.initUI() def initUI(self): self.setObjectName("setupDialog") # self.resize(1754, 3000) self.model = model
class Setupform(QtWidgets.QWidget): global model model = setup_information() def __init__(self): super().__init__() self.initUI() def init_ui(self): self.setObjectName('setupDialog') self.model = model
""" COLOURS """ C_TEAL = 0, 128, 128 C_RED = 255, 0, 0 C_PINK = 255, 100, 100 C_GREEN = 0, 255, 0 C_BLUE = 0, 0, 255 C_WHITE = 255, 255, 255 C_BLACK = 0, 0, 0 C_GOLD = 255, 195, 0 """ Questions and Answers """ QNA_PATH = 'QnA.txt' with open(QNA_PATH) as f: data = f.read().split('\n') getting_question = True QUESTIONS_AND_ANSWERS = [] current_set = {} for line in data: if line.startswith('#'): if 'q' in current_set: QUESTIONS_AND_ANSWERS.append(current_set.copy()) current_set['q'] = line.strip()[1:] current_set['ans'] = [] else: current_set['ans'].append(line) if 'q' in current_set: QUESTIONS_AND_ANSWERS.append(current_set.copy()) """ FONTS """ # Welcome Screen CONFIG_WELCOME_TEXT = { 'position': (400, 100), #Center coordinates 'font': 'comicsans', 'fontSize': 60, 'text': "Welcome to RC4 Feud!!", 'colour': C_GREEN, } CONFIG_START_BUTTON = { 'position': (250, 500, 300, 50), # (topleft coordinates) x, y, width, height 'inactiveColour': C_BLUE, 'hoverColour': C_RED, 'textColour': C_WHITE, 'radius': 20, } # Instruction Screen CONFIG_INSTRUCTION_TITLE = { 'position': (400, 100), # Center coordinates 'font': 'jokerman', 'fontSize': 60, 'text': "INSTRUCTIONS", 'colour': C_PINK, } CONFIG_NEXT_BUTTON = { 'position': (250, 500, 300, 50), # (topleft coordinates) x, y, width, height 'inactiveColour': C_BLUE, 'hoverColour': C_RED, 'textColour': C_WHITE, 'radius': 20, 'text': 'Start', } INSTRUCTIONS = [ "1. This game will last for 2 minutes", "2. You can guess the most popular answer as many times as you want", "3. Guessing a more popular answer will earn you more points!", "4. The points will be collated and awarded at the end of the game", ] CONFIG_INSTRUCTIONS_TEXT = { 'firstTextPosition': (100, 150), # Center coordinates 'spaceBetweenLines': 50, 'font': 'arial', 'fontSize': 20, 'colour': C_WHITE, } # Game Screen CONFIG_TIMER = { 'position': (400, 70), # Center coordinates 'font': 'calibri', 'fontSize': 100, 'text': "INSTRUCTIONS", 'colour': C_PINK, } CONFIG_QUESTION_TEXT = { 'position': (400, 450), # Center coordinates 'font': 'comicsans', 'fontSize': 50, 'colour': C_WHITE, } CONFIG_ANSWER_TEXT = { 'font': 'comicsans', 'fontSize': 40, 'colour': C_PINK, } CONFIG_INPUT_BOX = { 'position': (250, 500, 300, 50), # (topleft coordinates) x, y, width, height 'radius': 10, 'font': 'calibri', 'fontSize': 30, 'textColour': C_BLACK, 'borderColour': C_BLUE, 'borderThickness': 5, } # End Screen CONFIG_END_TITLE = { 'position': (400, 200), # Center coordinates 'font': 'jokerman', 'fontSize': 60, 'colour': C_BLUE, 'text': 'Thanks for playing!!' } CONFIG_FINAL_SCORE = { 'position': (400, 300), # Center coordinates 'font': 'arialbold', 'fontSize': 50, 'colour': C_RED, } CONFIG_FINAL_SCORE_NUM = { 'position': (400, 370), # Center coordinates 'font': 'calibri', 'fontSize': 100, 'colour': C_WHITE, }
""" COLOURS """ c_teal = (0, 128, 128) c_red = (255, 0, 0) c_pink = (255, 100, 100) c_green = (0, 255, 0) c_blue = (0, 0, 255) c_white = (255, 255, 255) c_black = (0, 0, 0) c_gold = (255, 195, 0) '\nQuestions and Answers\n' qna_path = 'QnA.txt' with open(QNA_PATH) as f: data = f.read().split('\n') getting_question = True questions_and_answers = [] current_set = {} for line in data: if line.startswith('#'): if 'q' in current_set: QUESTIONS_AND_ANSWERS.append(current_set.copy()) current_set['q'] = line.strip()[1:] current_set['ans'] = [] else: current_set['ans'].append(line) if 'q' in current_set: QUESTIONS_AND_ANSWERS.append(current_set.copy()) '\nFONTS\n' config_welcome_text = {'position': (400, 100), 'font': 'comicsans', 'fontSize': 60, 'text': 'Welcome to RC4 Feud!!', 'colour': C_GREEN} config_start_button = {'position': (250, 500, 300, 50), 'inactiveColour': C_BLUE, 'hoverColour': C_RED, 'textColour': C_WHITE, 'radius': 20} config_instruction_title = {'position': (400, 100), 'font': 'jokerman', 'fontSize': 60, 'text': 'INSTRUCTIONS', 'colour': C_PINK} config_next_button = {'position': (250, 500, 300, 50), 'inactiveColour': C_BLUE, 'hoverColour': C_RED, 'textColour': C_WHITE, 'radius': 20, 'text': 'Start'} instructions = ['1. This game will last for 2 minutes', '2. You can guess the most popular answer as many times as you want', '3. Guessing a more popular answer will earn you more points!', '4. The points will be collated and awarded at the end of the game'] config_instructions_text = {'firstTextPosition': (100, 150), 'spaceBetweenLines': 50, 'font': 'arial', 'fontSize': 20, 'colour': C_WHITE} config_timer = {'position': (400, 70), 'font': 'calibri', 'fontSize': 100, 'text': 'INSTRUCTIONS', 'colour': C_PINK} config_question_text = {'position': (400, 450), 'font': 'comicsans', 'fontSize': 50, 'colour': C_WHITE} config_answer_text = {'font': 'comicsans', 'fontSize': 40, 'colour': C_PINK} config_input_box = {'position': (250, 500, 300, 50), 'radius': 10, 'font': 'calibri', 'fontSize': 30, 'textColour': C_BLACK, 'borderColour': C_BLUE, 'borderThickness': 5} config_end_title = {'position': (400, 200), 'font': 'jokerman', 'fontSize': 60, 'colour': C_BLUE, 'text': 'Thanks for playing!!'} config_final_score = {'position': (400, 300), 'font': 'arialbold', 'fontSize': 50, 'colour': C_RED} config_final_score_num = {'position': (400, 370), 'font': 'calibri', 'fontSize': 100, 'colour': C_WHITE}
""" Copyright (C) 2017 Espressive Inc """
""" Copyright (C) 2017 Espressive Inc """