xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

0293a253619a11988d47abce2d445f20f1d026f6

304

py

Python

src/tributaries/utils/universalmodules.py

akilby/tributary-cache

f4884a2aa49685b9e8aeb925c50afda887db1b18

[ "MIT" ]

null

src/tributaries/utils/universalmodules.py

akilby/tributary-cache

f4884a2aa49685b9e8aeb925c50afda887db1b18

[ "MIT" ]

null

src/tributaries/utils/universalmodules.py

akilby/tributary-cache

f4884a2aa49685b9e8aeb925c50afda887db1b18

[ "MIT" ]

null

import os import sys import time def hash_id(): return str(hash(time.time()) % ((sys.maxsize + 1) * 2)) def hash_write_to_dta(df, tempdir, write_index=True): filepath = os.path.join(tempdir, 'dtafile_%s.dta' % hash_id()) df.to_stata(filepath, write_index=write_index) return filepath

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029d02e7c8eeaac0797693dd174266aabf956ee1

141

py

Python

variable.py

hitanshkadakia/Python_Tutorial

2d653cd5eb7ecd19de26ffd447d18fbae8eb7af6

[ "Apache-2.0" ]

3

2021-01-26T09:36:22.000Z

2021-07-16T07:52:22.000Z

variable.py

rahulhgdev/Python_Tutorial

de9a05a6c841614edac6cfa9cf8fb697dd512190

[ "Apache-2.0" ]

1

2021-02-12T13:47:58.000Z

2021-02-12T14:00:41.000Z

variable.py

rahulhgdev/Python_Tutorial

de9a05a6c841614edac6cfa9cf8fb697dd512190

[ "Apache-2.0" ]

1

2021-02-13T14:04:43.000Z

x=100 text="python tutorial" print(x) print(text) # Assign values to multiple variables x,y,z=10,20,30 print(x) print(y) print(z)

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py

Python

redditBot/BotMain.py

Squadella/ArisSuggestionBot

f00366f74f06080d29eec53c6700472c1afe2fe6

[ "MIT" ]

null

redditBot/BotMain.py

Squadella/ArisSuggestionBot

f00366f74f06080d29eec53c6700472c1afe2fe6

[ "MIT" ]

null

redditBot/BotMain.py

Squadella/ArisSuggestionBot

f00366f74f06080d29eec53c6700472c1afe2fe6

[ "MIT" ]

null

from Bot import Bot if __name__ == '__main__': bot = Bot() bot.startBot()

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3

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3,028

py

Python

sample/driver-clean.py

BenGriffith/covid

b3ac889c5e72acc5897100362cd0161e60517786

[ "BSD-2-Clause" ]

null

sample/driver-clean.py

BenGriffith/covid

b3ac889c5e72acc5897100362cd0161e60517786

[ "BSD-2-Clause" ]

null

sample/driver-clean.py

BenGriffith/covid

b3ac889c5e72acc5897100362cd0161e60517786

[ "BSD-2-Clause" ]

null

import sys import clean from datetime import datetime, date, timedelta if sys.argv[1] == "initial": # Populate county table clean.Population("tmp/initial/county/population.csv", "csv", "data/initial/county", 1) # Clean clean.Texas("tmp/initial/county/texas.xlsx", "data/initial/county", None) clean.Florida("tmp/initial/county/florida2020.json", "json", "data/initial/county", None) clean.Florida("tmp/initial/county/florida2021.json", "json", "data/initial/county", None) clean.NewYork("tmp/initial/county/new-york.json", "json", "data/initial/county", None) clean.Pennsylvania("tmp/initial/county/pennsylvania.json", "json", "data/initial/county", None) clean.Ohio("tmp/initial/county/ohio.csv", "csv", "data/initial/county", None) clean.Georgia("tmp/initial/county/georgia.json", "json", "data/initial/county", None) clean.Cases("tmp/initial/county/cases.csv", "csv", "data/initial/county", None) clean.Deaths("tmp/initial/county/deaths.csv", "csv", "data/initial/county", None) clean.Population("tmp/initial/county/population.csv", "csv", "data/initial/county", 0) clean.Stocks("tmp/initial/financial/stocks", "data/initial/financial/stocks") clean.Indicator("tmp/initial/financial/indicators/unemployment.json", "json", "data/initial/financial/indicators", "unemployment") clean.Indicator("tmp/initial/financial/indicators/inflation.json", "json", "data/initial/financial/indicators", "inflation") clean.Indicator("tmp/initial/financial/indicators/sentiment.json", "json", "data/initial/financial/indicators", "sentiment") clean.Indicator("tmp/initial/financial/indicators/mortgage.json", "json", "data/initial/financial/indicators", "mortgage") else: # Yesterday's date and Georgia date run_date = date.today() - timedelta(days=1) ga_run_date = date.today() - timedelta(days=2) # Clean Covid data clean.Texas(f"tmp/incremental/county/{run_date}/texas.xlsx", f"data/incremental/county/{run_date}", run_date) clean.Florida(f"tmp/incremental/county/{run_date}/florida2020.json", "json", f"data/incremental/county/{run_date}", run_date) clean.Florida(f"tmp/incremental/county/{run_date}/florida2021.json", "json", f"data/incremental/county/{run_date}", run_date) clean.NewYork(f"tmp/incremental/county/{run_date}/new-york.json", "json", f"data/incremental/county/{run_date}", run_date) clean.Pennsylvania(f"tmp/incremental/county/{run_date}/pennsylvania.json", "json", f"data/incremental/county/{run_date}", run_date) clean.Ohio(f"tmp/incremental/county/{run_date}/ohio.csv", "csv", f"data/incremental/county/{run_date}", run_date) clean.Georgia(f"tmp/incremental/county/{ga_run_date}/georgia.json", "json", f"data/incremental/county/{ga_run_date}", ga_run_date) clean.Cases(f"tmp/incremental/county/{run_date}/cases.csv", "csv", f"data/incremental/county/{run_date}", run_date) clean.Deaths(f"tmp/incremental/county/{run_date}/deaths.csv", "csv", f"data/incremental/county/{run_date}", run_date)

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02db725413178c90489b66872718043dc938844e

493

py

Python

catalyst_gan/nn/criterion/__init__.py

WilliamAshbee/gan

ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac

[ "Apache-2.0" ]

6

2020-01-27T11:25:12.000Z

2020-08-16T02:35:46.000Z

catalyst_gan/nn/criterion/__init__.py

WilliamAshbee/gan

ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac

[ "Apache-2.0" ]

1

2020-04-30T18:27:46.000Z

2020-06-08T09:38:22.000Z

catalyst_gan/nn/criterion/__init__.py

WilliamAshbee/gan

ab75e87681b9113d3af8df8a3cd97bf3bd69c6ac

[ "Apache-2.0" ]

3

2020-06-23T13:35:34.000Z

2020-12-10T20:22:28.000Z

from .bce_gan import ( BCELossDiscriminator, BCELossGenerator, BCELossDiscriminatorFake, BCELossDiscriminatorReal ) from .hinge import ( HingeLossDiscriminator, HingeLossGenerator, HingeLossDiscriminatorFake, HingeLossDiscriminatorReal ) from .wasserstein import ( WassersteinLossDiscriminator, WassersteinLossGenerator, WassersteinLossDiscriminatorFake, WassersteinLossDiscriminatorReal, WassersteinDistance ) from .metrics import AverageValue, AverageProbability

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0

null

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3

02dd0fa801138033b8e8e9e20a490e5095cc5807

55

py

Python

dbmanager/__init__.py

yupix/db-manager

93258484bcfe90a6ca10850cb121cfb993ec1039

[ "BSL-1.0" ]

null

dbmanager/__init__.py

yupix/db-manager

93258484bcfe90a6ca10850cb121cfb993ec1039

[ "BSL-1.0" ]

null

dbmanager/__init__.py

yupix/db-manager

93258484bcfe90a6ca10850cb121cfb993ec1039

[ "BSL-1.0" ]

null

from .dbmanager import DbManager __version__ = '0.0.1'

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02eeaa9da7d61201c6afcfcd0afd348e90fa2c0c

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py

Python

pypy/module/pypyjit/test/conftest.py

microvm/pypy-mu

6b03fbe93052d0eb3a4c67152c987c16837b3484

[ "Apache-2.0", "OpenSSL" ]

34

2015-07-09T04:53:27.000Z

2021-07-19T05:22:27.000Z

pypy/module/pypyjit/test/conftest.py

microvm/pypy-mu

6b03fbe93052d0eb3a4c67152c987c16837b3484

[ "Apache-2.0", "OpenSSL" ]

6

2015-05-30T17:20:45.000Z

2017-06-12T14:29:23.000Z

pypy/module/pypyjit/test/conftest.py

microvm/pypy-mu

6b03fbe93052d0eb3a4c67152c987c16837b3484

[ "Apache-2.0", "OpenSSL" ]

11

2015-09-07T14:26:08.000Z

2020-04-10T07:20:41.000Z

def pytest_addoption(parser): group = parser.getgroup("pypyjit options") group.addoption("--pypy", action="store", default=None, dest="pypy_c", help="the location of the JIT enabled pypy-c")

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3

02f57717e77b011e0c745f94bccb5a18599f46f7

180

py

Python

settings_test/settings_test/urls.py

joshourisman/django-pydantic-settings

39e403a70d39855485a13219a2550b50e22c48c9

[ "MIT" ]

5

2021-01-20T03:51:52.000Z

2021-04-25T09:58:21.000Z

settings_test/settings_test/urls.py

joshourisman/django-pydantic-settings

39e403a70d39855485a13219a2550b50e22c48c9

[ "MIT" ]

7

2021-05-07T06:50:19.000Z

2021-09-23T01:05:42.000Z

settings_test/settings_test/urls.py

joshourisman/django-pydantic-settings

39e403a70d39855485a13219a2550b50e22c48c9

[ "MIT" ]

null

from django.http import JsonResponse from django.urls import path def test_view(request): return JsonResponse({"success": True}) urlpatterns = [ path("", test_view), ]

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f31fdab424acd5900e3d4aa92d89654ff39a7665

93

py

Python

Week_1/ex6.py

babosina/Coursera-Python-HSE

3629c49df906324d14e8e591264b0f71d295a114

[ "MIT" ]

null

Week_1/ex6.py

babosina/Coursera-Python-HSE

3629c49df906324d14e8e591264b0f71d295a114

[ "MIT" ]

null

Week_1/ex6.py

babosina/Coursera-Python-HSE

3629c49df906324d14e8e591264b0f71d295a114

[ "MIT" ]

null

# Дано натуральное число. Выведите его последнюю цифру. num = int(input()) print(num % 10)

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b8279c79aa2680dd86497876009dc12259a0b194

319

py

Python

source/scripts/python/classname/source/classname.py

Zedonboy/core

79a4d959659a0f96b940b28d44476943de120d95

[ "Apache-2.0" ]

null

source/scripts/python/classname/source/classname.py

Zedonboy/core

79a4d959659a0f96b940b28d44476943de120d95

[ "Apache-2.0" ]

null

source/scripts/python/classname/source/classname.py

Zedonboy/core

79a4d959659a0f96b940b28d44476943de120d95

[ "Apache-2.0" ]

null

#!/usr/bin/python3.5 class MyClass: "This is a class" a = 10; def func(self): print('Hello World'); return 3; def my_function(a: MyClass): return a.func(); def other_function(b: my_function): a = MyClass(); return my_function(a); def object_function(obj: object): return 3;

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b82e865ba91ceb36af2de3dc000374c9fcb7dc5b

523

py

Python

flask_app/wsgi.py

lveagithub/InnoSpark-docker

565d8d3349a878c0c2c6f28833ff1b0f895feaf5

[ "MIT" ]

1

2021-04-28T15:18:17.000Z

flask_app/wsgi.py

lveagithub/InnoSpark-docker

565d8d3349a878c0c2c6f28833ff1b0f895feaf5

[ "MIT" ]

null

flask_app/wsgi.py

lveagithub/InnoSpark-docker

565d8d3349a878c0c2c6f28833ff1b0f895feaf5

[ "MIT" ]

null

from app import app as application app = application print ("wsgi_print_main") print(__name__) if __name__ == "__main__": print ("wsgi_print_main_1") app.run(host='0.0.0.0', port=8001) print ("wsgi_print_main_2") if __name__ == "wsgi": print ("wsgi_print_main_3") app.run(host='0.0.0.0', port=8001) #app.run print ("wsgi_print_main_4") #if __name__ == "__main__": # print ("wsgi_print_main_1") # app.run(host='0.0.0.0', port=8001) # print ("wsgi_print_main_2")

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126

py

Python

institutions/mapping/urls.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

institutions/mapping/urls.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

institutions/mapping/urls.py

sephcoster/mapusaurus

5515f0d89ff7b7cbc796af25b3d45950c8ed882f

[ "CC0-1.0" ]

null

from django.conf.urls import patterns, url urlpatterns = patterns( '', url(r'^$', 'mapping.views.map', name='map') )

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b84011551e3cd05efff54d507956228584998527

315

py

Python

problem1.py

ATMS-207-Fall-2020/lab-2-ShaySen

4e388d070d6c69f339cd60455ed4a3b039b99e76

[ "MIT" ]

null

problem1.py

ATMS-207-Fall-2020/lab-2-ShaySen

4e388d070d6c69f339cd60455ed4a3b039b99e76

[ "MIT" ]

null

problem1.py

ATMS-207-Fall-2020/lab-2-ShaySen

4e388d070d6c69f339cd60455ed4a3b039b99e76

[ "MIT" ]

null

### PROBLEM 1 def main(): print("Name: Shaymae Senhaji") print("Favorite Food: Brie Cheese") print("Favorite Color: Red") print("Favorite Hobby: Traveling") if __name__ == "__main__": main() #Name: Shaymae Senhaji #Favorite Food: Brie Cheese #Favorite Color: Red #Favorite Hobby: Traveling

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148

py

Python

moderate/apps.py

sandnima/blog-with-Django

77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7

[ "MIT" ]

null

moderate/apps.py

sandnima/blog-with-Django

77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7

[ "MIT" ]

null

moderate/apps.py

sandnima/blog-with-Django

77cb90f4e3aa70efa8d5190146f6acb4cd22d9a7

[ "MIT" ]

null

from django.apps import AppConfig class ModerateConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'moderate'

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b86dc9800f073a41499f81a7a11c7c9b74ff80fa

266

py

Python

tools/build/packages/Setuptools.py

drm42/fvm-drm

c9b940e593034f1aa3020d63ff1e09ebef9c182a

[ "MIT" ]

null

tools/build/packages/Setuptools.py

drm42/fvm-drm

c9b940e593034f1aa3020d63ff1e09ebef9c182a

[ "MIT" ]

null

tools/build/packages/Setuptools.py

drm42/fvm-drm

c9b940e593034f1aa3020d63ff1e09ebef9c182a

[ "MIT" ]

null

from build_packages import * class Setuptools(BuildPkg): requires = ['python'] def _installed(self): return python_package('setuptools', [0,6]) def _install(self): return self.sys_log("python setup.py install --prefix=%s" % self.blddir)

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b8756b98985ce22cc95cf64a3b4f2df03231016d

343

py

Python

seo/bin/test.py

yerkesobservatory/variousnsundry

c757a628b1c66be08c4ac15fb0dda26af61aebd8

[ "MIT" ]

null

seo/bin/test.py

yerkesobservatory/variousnsundry

c757a628b1c66be08c4ac15fb0dda26af61aebd8

[ "MIT" ]

null

seo/bin/test.py

yerkesobservatory/variousnsundry

c757a628b1c66be08c4ac15fb0dda26af61aebd8

[ "MIT" ]

null

#!/usr/bin/python import sys # ## the mock-0.3.1 dir contains testcase.py, testutils.py & mock.py #sys.path.append('/home/mcnowinski/.local/lib/python2.7/') import astropy from astropy.io import fits from astropy import wcs from astropy.io.fits import getheader import astropy.coordinates as coord import astropy.units as u astropy.test()

20.176471

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3

b876802acb728d3181559d9b082b50dc6b8a3380

130

py

Python

Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py

church06/Pythons

87271619abb2dd6398fbe08d746d4b03c54bcd4d

[ "MIT" ]

177

2020-05-16T00:22:37.000Z

2022-03-13T15:44:27.000Z

Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py

church06/Pythons

87271619abb2dd6398fbe08d746d4b03c54bcd4d

[ "MIT" ]

1

2020-07-09T12:42:53.000Z

Training/MOOC Tensorflow 2.0/BeiDa/class1/p31_matmul.py

church06/Pythons

87271619abb2dd6398fbe08d746d4b03c54bcd4d

[ "MIT" ]

123

2020-05-15T18:31:49.000Z

2022-02-10T09:20:06.000Z

import tensorflow as tf a = tf.ones([3, 2]) b = tf.fill([2, 3], 3.) print("a:", a) print("b:", b) print("a*b:", tf.matmul(a, b))

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30

0.538462

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2.5

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7

31

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null

0

1

0

null

0

1

0

3

b879e3d4d491a375a6c1105d8345c8c04fc2d8b4

193

py

Python

basichashmap.py

kasyap1234/dsa-

495d48d84058c30cc10caea0bf05aa41e2dd48f4

[ "MIT" ]

2

2021-04-15T16:09:56.000Z

2021-12-23T08:00:40.000Z

basichashmap.py

kasyap1234/dsa-

495d48d84058c30cc10caea0bf05aa41e2dd48f4

[ "MIT" ]

null

basichashmap.py

kasyap1234/dsa-

495d48d84058c30cc10caea0bf05aa41e2dd48f4

[ "MIT" ]

null

def hashfunction(key): sum=0 for i in key: sum+=ord(i) return sum%100 hashtable=[] def insertkey(key,value): hashkey=hashfunction(key) return hashtable[hashkey].append(value)

17.545455

41

0.694301

28

193

4.785714

0.571429

0.223881

0

0.025157

0.176166

193

10

42

19.3

0.81761

0

1

0.222222

false

0

0.444444

0

1

0

null

1

0

null

0

1

0

3

b88248a7e769bedb3c5390e408c0b96ff005c6f7

3,141

py

Python

youtube_livechat_messages/cursor.py

uehara1414/youtube-livestreaming-api-python

f981a928f07919fe076b0dbf14bfe9679c3cbb52

[ "MIT" ]

15

2018-10-05T05:29:55.000Z

2020-07-20T12:11:21.000Z

youtube_livechat_messages/cursor.py

uehara1414/youtube-livestreaming-api-python

f981a928f07919fe076b0dbf14bfe9679c3cbb52

[ "MIT" ]

2

2019-04-19T05:06:17.000Z

2021-02-08T20:44:13.000Z

youtube_livechat_messages/cursor.py

uehara1414/youtube_livechat_messages

f981a928f07919fe076b0dbf14bfe9679c3cbb52

[ "MIT" ]

null

import time import collections import itertools from youtube_livechat_messages.models import LiveChatEvent, EventType class LiveChatEventCursor: def __init__(self, request): self.request = request def events(self, include=None): return ChatEventIterator(self.request, include) def text_messages(self): return ChatEventIterator(self.request, include=[EventType.textMessageEvent]) def super_chats(self): return ChatEventIterator(self.request, include=[EventType.superChatEvent]) def fan_fundings(self): return ChatEventIterator(self.request, include=[EventType.fanFundingEvent]) def raw(self): return RawChatEventCursor(request=self.request) class RawChatEventCursor: def __init__(self, request): self.request = request def events(self, include=None): return RawEventIterator(self.request, include) def text_messages(self): return RawEventIterator(self.request, include=[EventType.textMessageEvent]) def super_chats(self): return RawEventIterator(self.request, include=[EventType.superChatEvent]) def fan_fundings(self): return RawEventIterator(self.request, include=[EventType.fanFundingEvent]) class ChatEventIterator: def __init__(self, request, include=None): self.request = request self.index = None self._events = collections.OrderedDict() self.include = include or [] self.update_events() if self._events: self.index = list(self._events.keys())[0] def update_events(self): res = self.request.call() for item in res.json()['items']: item = LiveChatEvent(item) self._events[item.id] = item def wait_while_index_set(self): """最初の１コメント目を待つ""" while True: if self.index is None: if self._events: self.index = list(self._events.keys())[0] return else: self.update_events() time.sleep(1) else: return def wait_for_next_item(self): while True: item_iter = itertools.dropwhile(lambda item_id: item_id != self.index, self._events) next(item_iter) try: self.index = next(item_iter) item = self._events[self.index] if not self.include or item.type in self.include: return item except StopIteration: time.sleep(1) self.update_events() def __next__(self) -> LiveChatEvent: if not self._events: time.sleep(1) self.update_events() self.wait_while_index_set() item = self.wait_for_next_item() return item def __iter__(self): return self class RawEventIterator(ChatEventIterator): def __init__(self, request, include=None): super().__init__(request, include=include) def __next__(self) -> object: item = super().__next__() return item.raw_json

27.077586

96

0.618274

329

3,141

5.671733

0.206687

0.100214

0.096463

0.086817

0.493033

0.459271

0.431404

0.300107

0.254019

0

0.002693

0.290672

3,141

115

97

27.313043

0.834829

0.00382

0

0.425

0

0.001601

0

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0.2375

false

0

0.05

0.125

0.525

0

null

0

null

0

1

0

1

0

3

b88d30097ca5fd41f25d049478f6032e33a651ff

129

py

Python

lazypage/apps.py

taojy123/django-lazypage

83c4c92ac9f9f051f57bcb2457e922dfb93a1fff

[ "MIT" ]

1

2018-11-28T09:45:10.000Z

lazypage/apps.py

taojy123/django-lazypage

83c4c92ac9f9f051f57bcb2457e922dfb93a1fff

[ "MIT" ]

null

lazypage/apps.py

taojy123/django-lazypage

83c4c92ac9f9f051f57bcb2457e922dfb93a1fff

[ "MIT" ]

null

from django.apps import AppConfig class LazypageConfig(AppConfig): name = "lazypage" verbose_name = "Django Lazy Page"

18.428571

37

0.736434

15

129

6.266667

0.8

0

0.186047

129

6

38

21.5

0.895238

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0.186047

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

b8926b5ee83e01093c676c7ae2325e170f830ddd

6,161

py

Python

ReaderWriterLockUnitTest.py

duvni/ReaderWriterLock

9cf835f33a6112da10960a283e866b4a4a8addc2

[ "MIT" ]

null

ReaderWriterLockUnitTest.py

duvni/ReaderWriterLock

9cf835f33a6112da10960a283e866b4a4a8addc2

[ "MIT" ]

1

2017-10-10T14:07:55.000Z

2018-03-31T08:55:49.000Z

ReaderWriterLockUnitTest.py

duvni/ReaderWriterLock

9cf835f33a6112da10960a283e866b4a4a8addc2

[ "MIT" ]

null

import unittest import threading import time from ReaderWriterLock import ReaderWriterLock class WriterThread(threading.Thread): def __init__(self, rw_lock: ReaderWriterLock, lock_timeout: float, wait_timeout: float, working_list: list, new_value): self.write_acquired = False self.write_lock_held = False self._rw_lock = rw_lock self._lock_timeout = lock_timeout self._wait_timeout = wait_timeout self.working_list = working_list self._new_value = new_value threading.Thread.__init__(self) def run(self): self.write_acquired = self._rw_lock.enter_write_lock(self._lock_timeout) self.write_lock_held = self._rw_lock.is_write_lock_held if not self.write_acquired: return time.sleep(self._wait_timeout) self.working_list[0] = self._new_value self._rw_lock.exit_write_lock() class ReaderThread(threading.Thread): def __init__(self, rw_lock: ReaderWriterLock, lock_timeout: float, wait_timeout: float, working_list: list): self.read_acquired = False self.read_lock_held = False self._rw_lock = rw_lock self._lock_timeout = lock_timeout self._wait_timeout = wait_timeout self.working_list = working_list self.value_read = None threading.Thread.__init__(self) def run(self): self.read_acquired = self._rw_lock.enter_read_lock(self._lock_timeout) self.read_lock_held = self._rw_lock.is_read_lock_held if not self.read_acquired: return time.sleep(self._wait_timeout) self.value_read = self.working_list[0] self._rw_lock.exit_read_lock() class TestReaderWriterLock(unittest.TestCase): def test_reading_before_writing(self): rw_lock = ReaderWriterLock() working_list = [1] writer1 = WriterThread(rw_lock, -1, 0, working_list, 2) writer1.start() writer1.join() self.assertTrue(writer1.write_acquired) self.assertEqual(working_list[0], 2) reader1 = ReaderThread(rw_lock, -1, 3, working_list) reader1.start() time.sleep(1) writer2 = WriterThread(rw_lock, -1, 0, working_list, 3) writer2.start() reader1.join() writer2.join() self.assertTrue(reader1.read_acquired) self.assertEqual(reader1.value_read, 2) self.assertTrue(writer2.write_acquired) self.assertEqual(working_list[0], 3) def test_writing_before_reading(self): rw_lock = ReaderWriterLock() working_list = [1] writer1 = WriterThread(rw_lock, -1, 3, working_list, 2) writer1.start() time.sleep(1) reader1 = ReaderThread(rw_lock, -1, 0, working_list) reader1.start() reader1.join() writer1.join() self.assertTrue(reader1.read_acquired) self.assertTrue(writer1.write_acquired) self.assertEqual(reader1.value_read, 2) self.assertEqual(working_list[0], 2) def test_write_starvation(self): rw_lock = ReaderWriterLock() working_list = [1] reader1 = ReaderThread(rw_lock, -1, 5, working_list) reader1.start() time.sleep(1) writer1 = WriterThread(rw_lock, -1, 0, working_list, 2) writer1.start() time.sleep(1) reader2 = ReaderThread(rw_lock, -1, 0, working_list) reader2.start() reader1.join() reader2.join() writer1.join() self.assertEqual(reader1.value_read, 1) self.assertEqual(reader2.value_read, 2) self.assertEqual(working_list[0], 2) def test_enter_timeout(self): rw_lock = ReaderWriterLock() working_list = [1] writer1 = WriterThread(rw_lock, -1, 3, working_list, 2) writer1.start() time.sleep(1) reader1 = ReaderThread(rw_lock, 0.1, 0, working_list) reader1.start() writer2 = WriterThread(rw_lock, 0.1, 0, working_list, 3) writer2.start() reader1.join() writer2.join() writer1.join() self.assertTrue(writer1.write_acquired) self.assertFalse(reader1.read_acquired) self.assertFalse(writer2.write_acquired) self.assertEqual(working_list[0], 2) def test_waiting_writer_timeout(self): rw_lock = ReaderWriterLock() working_list = [1] reader1 = ReaderThread(rw_lock, -1, 5, working_list) reader1.start() time.sleep(1) writer1 = WriterThread(rw_lock, -1, 0, working_list, 2) writer1.start() time.sleep(1) reader2 = ReaderThread(rw_lock, 0.1, 0, working_list) reader2.start() reader1.join() reader2.join() writer1.join() self.assertTrue(reader1.read_acquired) self.assertFalse(reader2.read_acquired) self.assertTrue(writer1.write_acquired) self.assertEqual(reader1.value_read, 1) self.assertEqual(working_list[0], 2) def test_properties(self): rw_lock = ReaderWriterLock() working_list = [1] self.assertEqual(rw_lock.current_read_count, 0) reader1 = ReaderThread(rw_lock, -1, 3, working_list) reader1.start() time.sleep(1) self.assertFalse(rw_lock.is_read_lock_held) self.assertEqual(rw_lock.current_read_count, 1) writer1 = WriterThread(rw_lock, -1, 3, working_list, 2) writer1.start() time.sleep(1) self.assertFalse(rw_lock.is_write_lock_held) reader1.join() writer1.join() self.assertTrue(reader1.read_lock_held) self.assertTrue(writer1.write_lock_held) def test_upgrade_read_to_write_lock(self): rw_lock = ReaderWriterLock() rw_lock.enter_read_lock() self.assertTrue(rw_lock.is_read_lock_held) rw_lock.upgrade_read_to_write_lock() self.assertTrue(rw_lock.is_write_lock_held) self.assertFalse(rw_lock.is_read_lock_held) rw_lock.downgrade_write_to_read_lock() self.assertTrue(rw_lock.is_read_lock_held) self.assertFalse(rw_lock.is_write_lock_held)

35.612717

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6,161

4.976378

0.085302

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0.044831

0.061709

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0.698576

0.515032

0.484705

0

0.031351

0.24931

6,161

172

113

35.819767

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0

0.658065

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0.070968

false

0

0.025806

0

0.129032

0

null

0

1

0

null

0

3

b8b059c217a852f127dd6fac46069c999695a335

555

py

Python

exercises/test_01_01.py

DayMath82/www.warmups.dev

2a1f3f7b2e1e066b3033366a91512c1b1be824ce

[ "MIT" ]

5

2021-05-03T05:09:17.000Z

2021-05-05T11:45:12.000Z

exercises/test_01_01.py

DayMath82/www.warmups.dev

2a1f3f7b2e1e066b3033366a91512c1b1be824ce

[ "MIT" ]

13

2021-06-10T20:10:25.000Z

2021-07-12T18:59:15.000Z

exercises/test_01_01.py

DayMath82/www.warmups.dev

2a1f3f7b2e1e066b3033366a91512c1b1be824ce

[ "MIT" ]

3

2021-05-01T00:08:07.000Z

2021-05-21T03:36:46.000Z

def test(): # if an assertion fails, the message will be displayed # --> must have the output in a comment assert "Mean: 5.0" in __solution__, "Did you record the correct program output as a comment?" # --> must have the correct arithmetic mean assert mean == 5.0, "Are you calculating the arithmetic mean?" # --> must not have a TODO marker in the solution assert "TODO" not in __solution__, "Did you remove the TODO marker when finished?" # display a congratulations for a correct solution __msg__.good("Well done!")

50.454545

97

0.695495

83

555

4.506024

0.53012

0.042781

0.058824

0.064171

0

0.009281

0.223423

555

10

98

55.5

0.858469

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1

0.2

true

0

0.2

0

null

0

null

0

1

0

1

0

3

b238ded9e59e1f11acb9f5f854d0f96993be9636

101

py

Python

asnets/experiments/actprop_5l_h_add_no_lmcut.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

21

2017-12-05T13:27:36.000Z

2021-11-16T20:32:33.000Z

asnets/experiments/actprop_5l_h_add_no_lmcut.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

2

2018-07-16T12:15:46.000Z

2020-10-31T00:02:49.000Z

asnets/experiments/actprop_5l_h_add_no_lmcut.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

7

2018-03-19T13:45:13.000Z

2022-03-24T07:52:20.000Z

"""For monster problem.""" from .actprop_5l_h_add import * # noqa F401 USE_LMCUT_FEATURES = False

16.833333

44

0.732673

15

101

4.6

1

0

0.047059

0.158416

101

5

45

20.2

0.764706

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0

1

0

false

0

0.5

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0.5

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1

0

null

0

1

0

null

0

1

0

3

b23ccecb657a95001da14fbcb3f6dca2ef245ae0

345

py

Python

pkgit/env_builders/typescript.py

Cologler/pkgit-python

f9ef74e3520c8d31ac1e93aea86f9e362d8553f4

[ "MIT" ]

null

pkgit/env_builders/typescript.py

Cologler/pkgit-python

f9ef74e3520c8d31ac1e93aea86f9e362d8553f4

[ "MIT" ]

null

pkgit/env_builders/typescript.py

Cologler/pkgit-python

f9ef74e3520c8d31ac1e93aea86f9e362d8553f4

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (c) 2019~2999 - Cologler <skyoflw@gmail.com> # ---------- # # ---------- from click import style from ..core.envs import Envs from . import IEnvBuilder class TypeScriptBuilder(IEnvBuilder): env = Envs.TYPE_SCRIPT def init(self): with self.open_proc(['tsc', '--init']): pass

17.25

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0.591304

40

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5.05

0.775

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345

19

57

18.157895

0.712177

0.284058

0

0.037657

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0.375

0

0.75

0

null

0

null

0

1

0

1

0

3

b258bb07dd96b02243360995517ab6fafc36ac39

352

py

Python

JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py

blukitas/JugandoCodewars

aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0

[ "MIT" ]

null

JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py

blukitas/JugandoCodewars

aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0

[ "MIT" ]

null

JugandoCodewars/ResueltosCodeWars/SortOddNumbers.py

blukitas/JugandoCodewars

aa4938fbba3911ba2d5f6fea2ff35fe3cbbf37b0

[ "MIT" ]

null

# You have an array of numbers. # Your task is to sort ascending odd numbers but even numbers must be on their places. # Zero isn't an odd number and you don't need to move it. If you have an empty array, you need to return it. # Example # sort_array([5, 3, 2, 8, 1, 4]) == [1, 3, 2, 8, 5, 4] # https://www.codewars.com/kata/578aa45ee9fd15ff4600090d

39.111111

108

0.698864

68

352

3.602941

0.661765

0.057143

0.073469

0

0.09507

0.193182

352

9

109

39.111111

0.767606

0.957386

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

3

b27ed1f549bbfe6d8fc3366ff1f890649ae8cdd8

122

py

Python

junk_drawer/easypost_testing.py

wantsomechocolate/3Muses

f195bb4d8f71be09467981e0aea7726951bf1c9a

[ "BSD-3-Clause" ]

null

junk_drawer/easypost_testing.py

wantsomechocolate/3Muses

f195bb4d8f71be09467981e0aea7726951bf1c9a

[ "BSD-3-Clause" ]

26

2015-01-02T13:35:48.000Z

2015-06-10T14:39:07.000Z

junk_drawer/easypost_testing.py

wantsomechocolate/3Muses

f195bb4d8f71be09467981e0aea7726951bf1c9a

[ "BSD-3-Clause" ]

null

import easypost import os easypost.api_key=os.environ['EASYPOST_KEY'] shipment=easypost.Shipment.retrieve('shp_sq2zuZ8d')

24.4

51

0.836066

17

122

5.823529

0.588235

0

0.017241

0.04918

122

4

52

30.5

0.836207

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0.196721

0

1

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false

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1

0

null

0

1

0

null

0

1

0

3

b297bf104c1010ccfd8dfd09abd42f129775093f

23,409

py

Python

3.py

znuxor/adventofcode2016

43c1da30cf3b0bca0d9daeddd5692ce2787b544a

[ "BSD-3-Clause" ]

null

3.py

znuxor/adventofcode2016

43c1da30cf3b0bca0d9daeddd5692ce2787b544a

[ "BSD-3-Clause" ]

null

3.py

znuxor/adventofcode2016

43c1da30cf3b0bca0d9daeddd5692ce2787b544a

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 theInput = """785 516 744 272 511 358 801 791 693 572 150 74 644 534 138 191 396 196 860 92 399 233 321 823 720 333 570 308 427 572 246 206 66 156 261 595 336 810 505 810 210 938 615 987 820 117 22 519 412 990 256 405 996 423 55 366 418 290 402 810 313 608 755 740 421 321 255 322 582 990 174 658 609 818 360 565 831 87 146 94 313 895 439 866 673 3 211 517 439 733 281 651 582 601 711 257 467 262 375 33 52 584 281 418 395 278 438 917 397 413 991 495 306 757 232 542 800 686 574 729 101 642 506 785 898 932 975 924 106 889 792 114 287 901 144 586 399 529 619 307 456 287 508 88 159 175 190 195 261 148 348 195 270 905 600 686 847 396 680 59 421 879 969 343 600 969 361 585 95 115 209 512 831 395 172 774 662 372 396 290 957 281 445 745 525 297 489 630 225 81 138 18 694 114 404 764 196 383 607 861 94 896 92 140 786 862 123 389 449 298 795 339 780 863 507 892 589 850 759 273 645 371 368 884 486 637 553 423 391 630 950 442 950 581 383 650 712 538 844 405 353 261 544 682 60 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290 428 539 41 571 455 267 306 48 607 250 432 567 400 851 507 477 853 456 923 615 416 838 245 496 353 253 325 926 159 716 989 488 216 473 808 222 742 395 178 798 514 383 732 478 845 728 508 486 4 230 643 35 151 298 584 123 906 576 583 682 294 580 605 784 624 517 984 911 778 745 9 897 325 913 357 501 27 221 249 798 669 614 824 777 397 749 461 304 734 769 1 447 543 306 454 200 19 551 134 674 562 329 665 352 188 281 808 151 622 834 255 648 352 199 340 429 182 121 585 223 382 524 977 225 520 156 532 827 929 419 429 175 759 284 376 877 312 548 751 571 507 529 390 503 483 710 1 146 938 421 582 975 981 186 118 771 531 328 490 638 452 743 750 511 772 242 957 850 177 669 750 665 975 296 664 228 35 159 763 347 650 752 315 557 366 530 294 828 154 645 730 388 763 744 298 774 459 508 375 449 485 748 537 819 907 526 259 551 773 890 650 523 839 473 645 928 485 333 109 115 403 952 399 229 50 606 377 900 212 693 731 399 682 103 579 441 764 471 481 114 267 196 567 591 353 495 798 436 348 30 794 88 526 926 411 524 1 862 754 839 440 848 839 458 109 961 799 930 944 692 853 168 520 788 579 920 687 32 930 283 575 759 747 857 705 926 842 674 925 233 163 29 544 409 719 266 643 767 315 323 56 754 135 658 99 757 569 818 832 207 296 602 519 316 371 301 409 879 747 765 696 151 960 836 689 526 564 790 33 954 343 548 203 379 545 797 622 550 122 105 606 538 12 686 434 102 595 820 249 642 215 221 120 703 124 972 440 214 444 544 447 963 225 373 904 628 271 733 109 374 193 673 588 446 724 945 246 771 901 389 900 339 331 323 756 245 428 969 565 457 539 977 743 742 26 199 543 960 804 405 795 914 721 454 695 816 984 422 849 437 495 803 237 106 58 221 442 834 638 278 21 697 880 830 818 953 849 276 335 944 152 650 953 232 972 23 675 991 179 741 579 408 164 741 285 682 156 113 71 607 759 740 692 644 284 229 308 681 114 133 961 232 394 214 653 533 240 863 332 115 651 664 396 356 477 308 220 134 283 505 569 286 400 234 413 830 734 534 877 619 293 562 171 862 216 186 819 427 63 491 121 321 139 108 142 438 39 219 345 120 486 367 91 482 400 61 605 780 858 434 854 188 478 141 726 62 600 904 292 312 328 103 648 896 200 304 299 382 372 325 229 625 114 513 95 742 875 432 99 818 510 731 863 353 520 495 501 335 400 411 187 358 612 274 381 658 586 774 908 858 876 162 722 881 604 277 772 677 484 369 964 772 239 973 618 388 463 799 264 262 49 691 800 816 875 827 820 394 828 682 576 571 670 724 322 910 202 12 72 856 529 771 829 520 830 38 796 154 681 662 160 750 193 314 633 772 925 453 769 769 427 318 182 338 552 366 505 82 205 468 486 218 352 542 633 640 612 625 879 69 715 867 233 571 479 818 703 639 866 989 856 285 504 265 981 758 773 920 716 904 698 390 977 336 1 838 563 391 169 692 87 692 17 75 754 691 100 143 605 754 711 844 724 864 261 457 167 640 655 371 554 294 874 777 541 528 902 595 406 774 309 254 322 721 257 638 883 617 278 793 525 779 669 120 144 539 722 106 533 242 187 925 743 221 863 490 284 899 481 186 82 103 102 143 562 306 494 540 352 574 239 885 218 247 551 750 123 859 634 206 391 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732 239 427 761 138 339 447 421 278 439 647 82 135 839 824 513 865 117 310 825 838 670 58 183 82 130 212 209 749 118 151 861 978 275 262 273 747 689 916 739 878 689 270 339 358 268 750 966 97 753 161 685 813 174 396 866 70 861 132 866 117 790 737 201 723 209 85 468 821 948 557 182 374 327 912 671 412 444 592 746 567 613 415 561 75 393 631 428 740 976 362 326 504 171 911 753 886 430 738 680 494 839 371 481 979 537 330 333 886 216 669 357 476 107 186 484 302 327 78 400 231 541 159 873 75 744 684 46 592 363 80 944 670 496 811 292 699 545 959 949 299 552 632 683 94 14 418 603 646 370 781 758 364 236 619 107 837 860 106 409 344 492 713 36 398 460 375 730 569 497 733 409 499 577 349 19 652 182 824 768 822 363 207 862 535 911 344 372 868 814 640 68 792 781 674 787 205 182 852 241 725 665 43 187 852 838 615 856 418 632 277 593 654 386 27 805 801 218 328 416 226 76 206 209 81 209 660 31 231 523 569 910 110 815 106 675 739 830 604 534 724 869 379 460 782 549 270 934 324 105 218 841 218 205 739 259 232 572 504 356 66 459 486 504 66 344 873 117 119 261 245 916 621 157 915 220 648 409 630 192 549 440 773 415 816 468 543 475 374 845 446 219 487 999 434 835 304 444 775 698 203 348 715 544 424 206 628 403 760 782 86 651 599 486 973 404 562 614 229 172 396 460 782 434 339 349 88 790 818 925 685 952 922 381 967 723 870 704 94 145 400 308 686 530 288 716 629 867 678 982 554 414 584 942 429 931 608 828 977 599 663 620 867 330 419 200 740 588 225 213 673 146 675 372 302 792 589 299 948 809 16 942 797 262 796 418 591 828 555 532 403 619 694 289 960 801 532 203 918 746 870 127 617 829 350 179 938 326 510 128 432 714 226 948 786 102 866 664 162 302 115 584 714 623 211 829 582 543 173 321 260 47 284 919 133 35 880 614 25 827 768 490 998 825 502 252 275 750 219 716 140 453 758 864 541 563 352 768 197 800 911 670 540 302 307 237 726 76 667 665 322 617 207 118 298 820 283 548 228 381 502 797 990 491 579 250 474 670 784 55 283 729 933 464 255 765 347 807 818 198 594 601 446 374 725 121 591 760 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690 91 672 657 184 816 48 744 121 109 689 849 88 201 982 268 418 569 193 589 630 267 676 690 453 47 496 369 792 677 412 833 95 316 802 957 774 647 966 842 861 233 737 194 260 605 424 266 274 310 874 365 762 411 87 704 477 356 739 554 598 454 107 540 64 641 631 470 444 387 133 277 704 401 226 869 475 299 986 127 831 706 60 899 442 111 414 281 804 579 702 597 587 807 932 755 649 537 844 439 295 979 235 417 821 852 719 546 59 716 607 889 8 851 534 334 926 234 50 184 710 286 152 872 638 132 517 712 21 970 152 801 701 104 438 845 30 966 454 106 37 894 741 276 896 923 274 6 535 339 346 129 141 566 488 386 418 551 160 69 822 586 589 634 443 633 319 466 944 856 704 6 944 438 937 229 47 201 738 283 102 389 305 168 844 760 854 880 827 903 750 612 138 163 658 57 491 622 91 900 233 144 773 113 85 645 399 129 190 497 49 481 85 698 906 604 146 968 653 767 92 130 260 706 288 396 267 268 625 621 6 283 805 992 917 363 985 716 887 900 677 593 892 668 406 40 259 733 572 860 510 154 225 479 575 750 809 938 312 243 36 294 461 973 150 452 226 270 159 66 81 520 247 346 496 58 864 207 395 140 524 438 901 717 491 838 807 85 203 859 541 931 704 764 26 272 912 250 107 512 278 182 910 89 345 242 826 85 687 889 267 112 610 93 445 882 337 532 746 381 689 526 854 696 858 351 778 798 801 255 8 362 200 45 44 203 50 342 520 236 135 228 35 196 421 236 120 689 653 418 692 773 233 898 438 334 32 821 511 419 55 31 449 776 496 617 857 815 691 530 996 105 959 469 403 371 317 309 394 366 207 449 84 902 419 633 361 480 733 987 318 213 722 531 649 600 600 12 954 968 654 436 429 111 169 205 606 331 227 610 943 543 304 146 666 412 998 544 402 459 475 58 269 455 55 388 98 38 243 675 858 172 732 707 188 120 313 959 887 640 719 968 101 752 83 547 477 517 337 908 620 289 869 878 321 738 33 20 817 227 913 469 260 898 138 329 593 23 459 967 159 339 524 681 669 674 216 619 673 740 360 420 302 875 950 539 759 635 430 548 612 239 841 169 323 702 113 374 615 255 457 851 958 721 40 270 495 842 808 745 939 343 484 408 610 554 739 576 539 695 49 535 745 493 117 88 444 554 939 3 665 470 581 133 876 580 268 430 703 436 883 249 448 823 862 3 218 505 85 944 264 81 994 367 673 488 484 506 901 694 847 914 612 426 423 29 971 214 741 589 221 732 20 853 541 995 783 448 983 854 858 446 523 27 418 52 118 73 566 122 438 74 361 354 136 981 399 183 794 888 816 366 863 586 878 388 254 979 430 735 19 922 536 47 750 686 60 545 836 683 828 748 301 678 297 546 493 567 351 514 643 523 58 191 768 418 778 387 273 925 613 651 160 330 859 215 624 750 876 36 138 836 637 906 550 568 46 520 876 928 79 632 400 610 906 380 471 22 163 624 931 822 507 661 49 89 414 874 593 476 958 895 660 910 783 691 341 147 325 751 767 297 194 81 335 633 808 345 726 290 602 550 102 207 345 194 542 217 68 103 290 441 451 239 464 407 987 401 195 300 341 313 797 409 430 471 607 441 82 153 439 511 578 399 634 593 414 630 113 776 448 679 413 346 784 577 320 851 645 584 584 73 603 742 196 165 758 361 624 23 262 626 90 435 943 647 702 446 598 392 993 579 904 41 608 924 979 209 371 654 642 136 776 518 520 787 369 444 518 543 529 824 974 110 415 582 629 651 356 869 903 347 977 345 269 581 549 840 613 433 209 891 407 630 900 509 95 409 510 103 362 194 69 754""" theInput = theInput.split('\n') theInput2 = [i.split(' ') for i in theInput] totalPossible = 0 for triangle in theInput2: triangle.sort() print(triangle) if len(triangle) == 3: side1, side2, side3 = triangle else: nullStr, side1, side2, side3 = triangle if int(side1)+int(side2) > int(side3) and \ int(side1)+int(side3) > int(side2) and \ int(side2)+int(side3) > int(side1): totalPossible += 1 print(totalPossible)

14.127339

47

0.622795

4,970

23,409

2.9334

0.204628

0.001646

0.002058

0.003155

0

0.974347

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23,409

1,656

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14.13587

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null

0

3

b2a0ccc733bb409bbff0d61f325cec707acb2099

2,286

py

Python

address/migrations/0003_auto_20210830_1305.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

11

2021-09-17T07:44:05.000Z

2022-02-06T08:33:30.000Z

address/migrations/0003_auto_20210830_1305.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

1

2021-10-09T07:37:14.000Z

address/migrations/0003_auto_20210830_1305.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

3

2021-09-27T14:12:13.000Z

2021-10-18T12:21:37.000Z

# Generated by Django 3.2 on 2021-08-30 08:35 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('service', '0002_alter_service_address'), ('address', '0002_auto_20210830_1305'), ('accounts', '0001_initial'), ('payment', '0002_alter_invoice_address'), ] operations = [ migrations.DeleteModel( name='Address', ), migrations.AddField( model_name='serviceaddress', name='area', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='s_addresses', to='address.area', verbose_name='area'), ), migrations.AddField( model_name='serviceaddress', name='city', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='s_addresses', to='address.city', verbose_name='city'), ), migrations.AddField( model_name='serviceaddress', name='state', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='s_addresses', to='address.state', verbose_name='state'), ), migrations.AddField( model_name='customeraddress', name='area', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='c_addresses', to='address.area', verbose_name='area'), ), migrations.AddField( model_name='customeraddress', name='city', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='c_addresses', to='address.city', verbose_name='city'), ), migrations.AddField( model_name='customeraddress', name='state', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='c_addresses', to='address.state', verbose_name='state'), ), migrations.AddField( model_name='customeraddress', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='c_addresses', to='accounts.customer', verbose_name='customer'), ), ]

40.821429

158

0.631671

239

2,286

5.853556

0.221757

0.051465

0.080057

0.125804

0.766262

0.695497

0

0.024014

0.234908

2,286

55

159

41.563636

0.775872

0.01881

0

0.571429

1

0

0.203927

0.033467

0

1

0

false

0

0.040816

0

0.102041

0

null

0

1

0

1

0

1

0

null

0

3

b2a132f958abdfeb33ef41003247778f85af3a02

203

py

Python

src/processrunner/settings.py

arobb/python-process-runner

e5265a052f501f533f6d0c8bbe3d70ab120b679f

[ "MIT" ]

3

2019-07-16T17:32:29.000Z

2021-11-08T05:00:26.000Z

src/processrunner/settings.py

arobb/python-process-runner

e5265a052f501f533f6d0c8bbe3d70ab120b679f

[ "MIT" ]

null

src/processrunner/settings.py

arobb/python-process-runner

e5265a052f501f533f6d0c8bbe3d70ab120b679f

[ "MIT" ]

2

2017-07-06T23:59:12.000Z

2019-07-16T17:32:32.000Z

# -*- coding: utf-8 -*- """Holder for shared Configuration""" def init(): """Holder for shared Configuration""" global config try: config except NameError: config = {}

15.615385

41

0.566502

20

203

5.75

0.7

0.156522

0.26087

0.486957

0

0.006944

0.29064

203

12

42

16.916667

0.791667

0.423645

0

1

0.166667

false

0

0.166667

0

1

0

null

0

1

0

null

0

3

b2aa1a69f0283a960fafa6ac8874aa1bd16124f3

917

py

Python

src/Phidget22/BridgeGain.py

MikaSoftware/mikathing

60621b01e2fcbeefe2181a58fb0f6104115d1ae6

[ "BSD-3-Clause" ]

1

2020-02-26T12:43:07.000Z

Phidget22/BridgeGain.py

keysie/phidget-python-interface

ebf392fe6d8d25bd5c178edbf095cf29e0daa4af

[ "MIT" ]

null

Phidget22/BridgeGain.py

keysie/phidget-python-interface

ebf392fe6d8d25bd5c178edbf095cf29e0daa4af

[ "MIT" ]

1

2020-02-26T12:43:12.000Z

import sys import ctypes class BridgeGain: # 1x Amplificaion BRIDGE_GAIN_1 = 1 # 2x Amplification BRIDGE_GAIN_2 = 2 # 4x Amplification BRIDGE_GAIN_4 = 3 # 8x Amplification BRIDGE_GAIN_8 = 4 # 16x Amplification BRIDGE_GAIN_16 = 5 # 32x Amplification BRIDGE_GAIN_32 = 6 # 64x Amplification BRIDGE_GAIN_64 = 7 # 128x Amplification BRIDGE_GAIN_128 = 8 @classmethod def getName(self, val): if val == self.BRIDGE_GAIN_1: return "BRIDGE_GAIN_1" if val == self.BRIDGE_GAIN_2: return "BRIDGE_GAIN_2" if val == self.BRIDGE_GAIN_4: return "BRIDGE_GAIN_4" if val == self.BRIDGE_GAIN_8: return "BRIDGE_GAIN_8" if val == self.BRIDGE_GAIN_16: return "BRIDGE_GAIN_16" if val == self.BRIDGE_GAIN_32: return "BRIDGE_GAIN_32" if val == self.BRIDGE_GAIN_64: return "BRIDGE_GAIN_64" if val == self.BRIDGE_GAIN_128: return "BRIDGE_GAIN_128" return "<invalid enumeration value>"

22.925

38

0.732824

143

917

4.363636

0.272727

0.384615

0.115385

0.192308

0.24359

0

0.080429

0.186478

917

39

23.512821

0.756032

0.151581

0

0.176853

0

1

0.033333

false

0

0.066667

0

0.7

0

null

1

0

1

0

null

0

1

0

3

a22e5bc3c9d28c69269e64ca456ddfa8f68045db

466

py

Python

utils.py

NicChoo96/Graph_Unweighted_Hospitals

c88d6e2caca4e1fdab0549a041ac9856266847fb

[ "MIT" ]

null

utils.py

NicChoo96/Graph_Unweighted_Hospitals

c88d6e2caca4e1fdab0549a041ac9856266847fb

[ "MIT" ]

null

utils.py

NicChoo96/Graph_Unweighted_Hospitals

c88d6e2caca4e1fdab0549a041ac9856266847fb

[ "MIT" ]

1

2021-05-22T09:06:56.000Z

import os import json def write_data_json_file(output_directory, file_name, writePath): # Load in existing file record if os.path.isfile('./' + output_directory + file_name): with open(output_directory + file_name) as json_file: f_data = json.load(json_file) if len(f_data) != 0: data = f_data data = writePath with open(output_directory + file_name, 'w') as outfile: json.dump(data, outfile)

33.285714

65

0.648069

65

466

4.4

0.415385

0.20979

0.265734

0.321678

0.216783

0

0.002899

0.259657

466

14

66

33.285714

0.826087

0.060086

0

0.006865

0

1

0.090909

false

0

0.181818

0

0.272727

0

null

1

0

null

0

3

a239d91665c7248fe6c890e52a667518e7363190

121

py

Python

data.py

yu961549745/tfnote

df21c414eecfd4e94dd0097f1d57dc2ff1546b70

[ "MIT" ]

null

data.py

yu961549745/tfnote

df21c414eecfd4e94dd0097f1d57dc2ff1546b70

[ "MIT" ]

null

data.py

yu961549745/tfnote

df21c414eecfd4e94dd0097f1d57dc2ff1546b70

[ "MIT" ]

null

from tensorflow.examples.tutorials.mnist import input_data data = input_data.read_data_sets("MNIST_data/", one_hot=True)

40.333333

61

0.834711

19

121

5

0.684211

0.189474

0

0.066116

121

2

62

60.5

0.840708

0

0.090909

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

a2465c0b7415a6950c64687797b10b5274abc98d

707

py

Python

nonrelated_inlines/tests/settings.py

diegodirob/django-nonrelated-inlines

3fef685cc84ea3148323260fd88697c909b545b4

[ "MIT" ]

17

2020-10-07T07:33:27.000Z

2022-02-17T04:50:30.000Z

nonrelated_inlines/tests/settings.py

diegodirob/django-nonrelated-inlines

3fef685cc84ea3148323260fd88697c909b545b4

[ "MIT" ]

1

2020-12-11T15:40:19.000Z

2021-04-03T12:45:12.000Z

nonrelated_inlines/tests/settings.py

diegodirob/django-nonrelated-inlines

3fef685cc84ea3148323260fd88697c909b545b4

[ "MIT" ]

8

2020-09-11T07:58:17.000Z

2022-02-04T15:11:54.000Z

DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': ':memory:' } } SECRET_KEY = 'supersecret' INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'nonrelated_inlines.tests.testapp' ] ROOT_URLCONF = 'nonrelated_inlines.tests.urls' MIDDLEWARE = [ 'django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware' ] TEMPLATES = [{ 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'APP_DIRS': True, }]

22.806452

65

0.687412

65

707

7.384615

0.6

0.216667

0.070833

0

0.001689

0.162659

707

30

66

23.566667

0.809122

0

0.640736

0.485149

0

1

0

false

0

null

1

0

1

null

0

3

a2474995fc8c86ff6ab1143913d7983f54ec8c90

465

py

Python

hassio-google-drive-backup/backup/model/__init__.py

voxipbx/hassio-addons

ddf2f1745f4240c2905f9f9d7616a927fb8934e4

[ "MIT" ]

1

2022-01-22T18:27:04.000Z

hassio-google-drive-backup/backup/model/__init__.py

voxipbx/hassio-addons

ddf2f1745f4240c2905f9f9d7616a927fb8934e4

[ "MIT" ]

19

2021-09-29T06:13:25.000Z

2022-03-08T06:13:49.000Z

hassio-google-drive-backup/backup/model/__init__.py

voxipbx/hassio-addons

ddf2f1745f4240c2905f9f9d7616a927fb8934e4

[ "MIT" ]

null

# flake8: noqa from .backupscheme import GenerationalScheme, OldestScheme, GenConfig, BackupScheme from .coordinator import Coordinator from .model import BackupSource, BackupDestination, Model from .syncer import Scyncer from .backups import AbstractBackup, Backup from .drivebackup import DriveBackup from .dummybackup import DummyBackup from .dummybackupsource import DummyBackupSource from .habackup import HABackup from .simulatedsource import SimulatedSource

38.75

83

0.855914

48

465

8.291667

0.458333

0

0.002404

0.105376

465

11

84

42.272727

0.954327

0.025806

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

a24e32edbb183ef01cf9d0fb4db7dab5b4b26cb6

69

py

Python

beecrowd/extremamentebasico.py

mtsamorim/python

88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6

[ "MIT" ]

null

beecrowd/extremamentebasico.py

mtsamorim/python

88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6

[ "MIT" ]

null

beecrowd/extremamentebasico.py

mtsamorim/python

88c08ee9be0d8f809a19ddf0ac5ee94e08587cb6

[ "MIT" ]

null

num1 = int(input()) num2 = int(input()) print(f'X = {num1 + num2}')

13.8

27

0.565217

11

69

3.545455

0.636364

0.410256

0

0.070175

0.173913

69

4

28

17.25

0.614035

0

0.246377

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

3

a2596df4d7cf98f3fa2962ca83cf0ac228043316

85

py

Python

houdini_manage/__init__.py

NiklasRosenstein/houdini-manage

cf6216cb914b97677a0831e490f9943eabed8d79

[ "MIT" ]

7

2018-02-01T05:41:25.000Z

2020-04-03T08:37:05.000Z

houdini_manage/__init__.py

jonbjornn/houdini-manage

cf6216cb914b97677a0831e490f9943eabed8d79

[ "MIT" ]

1

2017-07-19T00:16:03.000Z

houdini_manage/__init__.py

jonbjornn/houdini-manage

cf6216cb914b97677a0831e490f9943eabed8d79

[ "MIT" ]

2

2020-02-02T09:57:26.000Z

2020-02-14T10:16:45.000Z

__author__ = 'Niklas Rosenstein <rosensteinniklas@gmail.com>' __version__ = '1.0.0'

21.25

61

0.752941

10

85

5.6

0.9

0

0.039474

0.105882

85

3

62

28.333333

0.697368

0

0.607143

0.333333

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

a27c675795d8aca03098ac13ac4cce453e6f99a5

2,045

py

Python

tests/conftest.py

weilin2018/pyextremes

f68a5cba4f31a7170bfc02287d9ee0f7926b10bc

[ "MIT" ]

null

tests/conftest.py

weilin2018/pyextremes

f68a5cba4f31a7170bfc02287d9ee0f7926b10bc

[ "MIT" ]

null

tests/conftest.py

weilin2018/pyextremes

f68a5cba4f31a7170bfc02287d9ee0f7926b10bc

[ "MIT" ]

1

2021-05-07T12:01:45.000Z

import pathlib import pandas as pd import pytest root_directory = pathlib.Path(__file__).parent.resolve() @pytest.fixture(scope="session") def shared_data_folder() -> pathlib.Path: return root_directory / "_shared_data" @pytest.fixture(scope="function") def battery_wl(shared_data_folder) -> pd.Series: return ( pd.read_csv( shared_data_folder / "battery_wl.csv", index_col=0, parse_dates=True, squeeze=True, ) .dropna() .sort_index(ascending=True) ) @pytest.fixture(scope="function") def battery_wl_preprocessed(shared_data_folder) -> pd.Series: ts = ( pd.read_csv( shared_data_folder / "battery_wl.csv", index_col=0, parse_dates=True, squeeze=True, ) .dropna() .sort_index(ascending=True) ) ts = ts.loc[ts.index.year >= 1925] slr = ( (ts.index.array - pd.to_datetime("1992-01-01")) / pd.to_timedelta("1Y") * 2.87e-3 ) ts -= slr return ts @pytest.fixture(scope="function") def extremes_bm_high(shared_data_folder) -> pd.Series: return pd.read_csv( shared_data_folder / "extremes_bm_high.csv", index_col=0, parse_dates=True, squeeze=True, ) @pytest.fixture(scope="function") def extremes_bm_low(shared_data_folder) -> pd.Series: return pd.read_csv( shared_data_folder / "extremes_bm_high.csv", index_col=0, parse_dates=True, squeeze=True, ) @pytest.fixture(scope="function") def extremes_pot_high(shared_data_folder) -> pd.Series: return pd.read_csv( shared_data_folder / "extremes_pot_high.csv", index_col=0, parse_dates=True, squeeze=True, ) @pytest.fixture(scope="function") def extremes_pot_low(shared_data_folder) -> pd.Series: return pd.read_csv( shared_data_folder / "extremes_pot_low.csv", index_col=0, parse_dates=True, squeeze=True, )

23.238636

61

0.622005

257

2,045

4.649805

0.22179

0.117155

0.174059

0.130544

0.771548

0.751464

0.653556

0.622594

0

0.015222

0.261125

2,045

87

62

23.505747

0.775645

0

0.535211

0

0.091932

0.010269

0

1

0.098592

false

0

0.042254

0.084507

0.239437

0

null

0

1

0

1

0

null

0

3

a288a4eddb23a7c6de4d6837386bb803fa62054f

148

py

Python

TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

TopQuarkAnalysis/Configuration/python/patRefSel_outputModule_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from TopQuarkAnalysis.Configuration.patRefSel_outputModule_cfi import out outpath = cms.EndPath( out )

18.5

73

0.831081

18

148

6.722222

0.833333

0

0.114865

148

7

74

21.142857

0.923664

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

a29859f5c9a41883d2ab83ed3a243833e393887b

236

py

Python

examples/webExample/server.py

isthisgood/ofxXmlGui

0f470b10348c8eae09891dca50931cc7aab8ffc9

[ "MIT" ]

7

2015-03-15T11:59:02.000Z

2020-01-15T22:21:29.000Z

examples/webExample/server.py

isthisgood/ofxXmlGui

0f470b10348c8eae09891dca50931cc7aab8ffc9

[ "MIT" ]

null

examples/webExample/server.py

isthisgood/ofxXmlGui

0f470b10348c8eae09891dca50931cc7aab8ffc9

[ "MIT" ]

1

2018-07-16T11:22:41.000Z

import BaseHTTPServer import cgi, random, sys import SimpleHTTPServer import os PORT = 8000 httpd = BaseHTTPServer.HTTPServer(("", PORT), SimpleHTTPServer.SimpleHTTPRequestHandler) print "Serving at port", PORT httpd.serve_forever()

19.666667

88

0.800847

26

236

7.230769

0.653846

0

0.019139

0.114407

236

11

89

21.454545

0.880383

0

0.063559

0

null

0

0.5

null

0.125

1

0

null

0

null

0

1

0

1

0

3

a2b2c814b1b6b47797cf2b70565767f6797ecd87

70

py

Python

scripts/quest/q53445s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/quest/q53445s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/quest/q53445s.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

# All-Seer (53445) sm.startQuest(parentID) sm.completeQuest(parentID)

17.5

26

0.785714

9

70

6.111111

0.777778

0

0.076923

0.071429

70

4

26

17.5

0.769231

0.228571

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

3

a2d4e8c4f0919fed4da4c2cd6aefdb5cb1902d78

852

py

Python

nxmetis/metis.py

sclable/networkx-metis

34398b7046d71b62c5bd3b90b35f4fe02fb5abc7

[ "Apache-2.0" ]

69

2015-05-23T16:24:37.000Z

2022-03-14T14:04:08.000Z

nxmetis/metis.py

sclable/networkx-metis

34398b7046d71b62c5bd3b90b35f4fe02fb5abc7

[ "Apache-2.0" ]

68

2015-05-23T14:16:14.000Z

2021-10-11T10:59:47.000Z

nxmetis/metis.py

sclable/networkx-metis

34398b7046d71b62c5bd3b90b35f4fe02fb5abc7

[ "Apache-2.0" ]

25

2015-05-23T05:58:34.000Z

2022-03-09T17:31:55.000Z

""" This module is a wrapper of the ``_metis`` extension generated from ``_metis.pyx``. This is to let sphinx import the module for documentation builds with or without the ``_metis`` extension. """ try: from nxmetis import _metis except ImportError: def node_nd(*args, **kwargs): raise Exception("NetworkX-METIS not installed!") def part_graph(*args, **kwargs): raise Exception("NetworkX-METIS not installed!") def compute_vertex_separator(*args, **kwargs): raise Exception("NetworkX-METIS not installed!") def set_default_options(*args, **kwargs): raise Exception("NetworkX-METIS not installed!") else: node_nd = _metis.node_nd part_graph = _metis.part_graph compute_vertex_separator = _metis.compute_vertex_separator set_default_options = _metis.set_default_options

34.08

68

0.711268

108

852

5.37037

0.416667

0.068966

0.103448

0.165517

0.353448

0.268966

0

0.190141

852

24

69

35.5

0.84058

0.223005

0

0.25

1

0

0.180685

0

1

0.25

false

0

0.125

0

0.375

0

null

0

1

0

1

0

null

0

1

0

3

a2e3e0144791eaa87dbc04d153a2cbfec515248e

49,625

py

Python

authnzerver/actions/email.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

3

2019-06-02T12:57:08.000Z

2020-04-01T14:00:12.000Z

authnzerver/actions/email.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

7

2020-03-17T21:55:41.000Z

2020-07-07T22:58:48.000Z

authnzerver/actions/email.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

2

2020-03-04T06:56:27.000Z

2020-03-24T08:39:11.000Z

# -*- coding: utf-8 -*- # actions_email.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Aug 2018 # License: MIT - see the LICENSE file for the full text. """This contains functions to drive email-related auth actions. """ ############# ## LOGGING ## ############# import logging # get a logger LOGGER = logging.getLogger(__name__) ############# ## IMPORTS ## ############# try: from datetime import datetime, timezone, timedelta utc = timezone.utc except Exception: from datetime import datetime, timedelta, tzinfo ZERO = timedelta(0) class UTC(tzinfo): """UTC""" def utcoffset(self, dt): return ZERO def tzname(self, dt): return "UTC" def dst(self, dt): return ZERO utc = UTC() import multiprocessing as mp from email.mime.text import MIMEText from email.utils import formatdate, make_msgid import smtplib import time import re import textwrap from sqlalchemy import select from .. import authdb from .session import auth_session_exists from ..permissions import pii_hash from ..validators import validate_email_address from .email_templates import ( SIGNUP_VERIFICATION_EMAIL_SUBJECT, SIGNUP_VERIFICATION_EMAIL_TEMPLATE, FORGOTPASS_VERIFICATION_EMAIL_SUBJECT, FORGOTPASS_VERIFICATION_EMAIL_TEMPLATE ) #################### ## SENDING EMAILS ## #################### def send_email( sender, subject, text, recipients, server, user, password, pii_salt, bcc=False, port=587 ): """ This is a utility function to send email. Parameters ---------- sender : str The name and email address of the entity sending the email in the following form:: "Sender Name <senderemail@example.com>" subject : str The subject of the email. text : str The text of the email. recipients : list of str A list of the email addresses to send the email to. Use either of the formats below for each email address:: "Recipient Name <recipient@example.com>" "recipient@example.com" server : str The address of the email server to use. user : str The username to use when logging into the email server via SMTP. password : str The password to use when logging into the email server via SMTP. pii_salt : str The PII salt value passed in from a wrapping function. Used to censor personally identifying information in the logs emitted from this function. bcc : bool or list of str If True, will set the To: field in the email itself to "undisclosed-recipients" and send the email to all recipients such that none of them know who the message was sent to (effectively BCCs all the recipients). If this is set to a list of email addresses in RFC822 format as strings, will only BCC those email addresses. If this is set to False, the To: field in the email itself will contain the addresses of all recipients. port : int The SMTP port to use when logging into the email server via SMTP. Returns ------- sent_ok : bool Returns True if email sending succeeded. False otherwise. """ # validate the sender's email address if '<' in sender and '>' in sender: sender_email = re.findall(r'<(\S+)>', sender) if not sender_email: LOGGER.error("Invalid sender email address. Can't send this email.") return False else: sender_email = sender_email[0] else: sender_email = sender valid_sender_email = validate_email_address(sender_email) if not valid_sender_email: LOGGER.error("Invalid sender email address. Can't send this email.") return False # remove all newlines from the subject, the sender's email address, # and all the recipient email address to prevent header injection attacks cleaned_sender = sender.replace('\n', '') cleaned_subject = subject.replace('\n', '') cleaned_recipients = [x.replace('\n', '') for x in recipients] # validate the recipients' email addresses validated_recipients = [] for recipient in cleaned_recipients: if '<' in recipient and '>' in recipient: recipient_email = re.findall(r'<(\S+)>', recipient) if recipient_email: recipient_email = recipient_email[0] else: LOGGER.warning( "Recipient email address: %s is not valid, skipping..." % pii_hash(recipient, pii_salt) ) continue else: recipient_email = recipient recipient_email_valid = validate_email_address(recipient_email) if not recipient_email_valid: LOGGER.warning( "Recipient email address: %s not valid, skipping..." % pii_hash(recipient, pii_salt) ) else: validated_recipients.append(recipient) if not validated_recipients: LOGGER.error("No valid recipients found for this email.") return False # # construct the message # msg = MIMEText(text) msg['From'] = cleaned_sender msg['To'] = ', '.join(recipients) msg['Message-Id'] = make_msgid() msg['Subject'] = cleaned_subject msg['Date'] = formatdate(time.time()) msg['Sender'] = sender_email # # handle the BCC kwarg # # if everyone is to be BCCed, remove all the recipients from the "To: " # field if bcc is True: msg['To'] = "undisclosed-recipients" # if there are specific people who need to be BCCed, clean their addresses, # validate them, and then add them to the validated_recipients list elif isinstance(bcc, (list, tuple)): for bcc_recipient in bcc: cleaned_bcc_recipient = bcc_recipient.replace('\n', '') if '<' in cleaned_bcc_recipient and '>' in cleaned_bcc_recipient: bcc_recipient_email = re.findall(r'<(\S+)>', cleaned_bcc_recipient) if bcc_recipient_email: bcc_recipient_email = bcc_recipient_email[0] else: LOGGER.warning( "BCC email address: %s is not valid, skipping..." % pii_hash(bcc_recipient, pii_salt) ) continue else: bcc_recipient_email = cleaned_bcc_recipient bcc_email_valid = validate_email_address(bcc_recipient_email) if not bcc_email_valid: LOGGER.warning( "BCC email address: %s not valid, skipping..." % pii_hash(bcc_recipient, pii_salt) ) else: validated_recipients.append(cleaned_bcc_recipient) # # finally, send the emails # # next, we'll try to login to the SMTP server try: server = smtplib.SMTP(server, port) server.ehlo() if server.has_extn('STARTTLS'): # try to send the email try: server.starttls() server.ehlo() if (server.has_extn('AUTH') and user is not None and password is not None): server.login( user, password ) server.sendmail( cleaned_sender, validated_recipients, msg.as_string() ) server.quit() return True # if it fails, bail out except Exception as e: LOGGER.error( "Could not send the email to recipients: %s " "with subject: %s because of an exception: %r" % (', '.join([pii_hash(x, pii_salt) for x in recipients]), subject, e) ) server.quit() return False else: LOGGER.error('Email server: %s does not support STARTTLS, ' 'refusing to send an insecure email.' % server) server.quit() return False except Exception as e: LOGGER.error( "Could not send the email to recipients: %s " "with subject: %s because of an exception: %r" % (', '.join([pii_hash(x, pii_salt) for x in recipients]), subject, e) ) try: server.quit() except Exception: pass return False def send_signup_verification_email(payload, raiseonfail=False, override_authdb_path=None, config=None): """Sends an account verification email. Parameters ----------- payload : dict Keys expected in this dict from a client are: - email_address: str, the email address to send the email to - session_token: str, session token of the user being sent the email - created_info: dict, the dict returned by ``users.auth_create_user()`` - server_name: str, the name of the frontend server - server_baseurl: str, the base URL of the frontend server - account_verify_url: str, the URL fragment of the frontend verification endpoint - verification_token: str, a verification token generated by frontend - verification_expiry: int, number of seconds after which the token expires In addition, the following optional items must be provided by a wrapper function to set up the email server. - emailuser - emailpass - emailserver - emailport - emailsender These can be provided as part of the payload as dict keys or as attributes in the SimpleNamespace object passed in the config kwarg. The config object will be checked first, and the payload items will override it. Finally, the payload must also include the following keys (usually added in by a wrapping function): - reqid: int or str - pii_salt: str override_authdb_path : str or None If given as a str, is the alternative path to the auth DB. raiseonfail : bool If True, will raise an Exception if something goes wrong. config : SimpleNamespace object or None An object containing systemwide config variables as attributes. This is useful when the wrapping function needs to pass in some settings directly from environment variables. Returns ------- dict Returns a dict containing the user_id, email_address, and the emailverify_sent_datetime value if email was sent successfully. """ for key in ('reqid', 'pii_salt'): if key not in payload: LOGGER.error( "Missing %s in payload dict. Can't process this request." % key ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ["Invalid verify email request."], } for key in ('email_address', 'session_token', 'server_name', 'server_baseurl', 'account_verify_url', 'verification_token', 'verification_expiry', 'created_info'): if key not in payload: LOGGER.error( '[%s] Invalid verify email request, missing %s.' % (payload['reqid'], key) ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Invalid verify email request." ]) } # now check for the SMTP server config items in the payload or in config if config is not None: emailsender = getattr(config, "emailsender", None) emailuser = getattr(config, "emailuser", None) emailpass = getattr(config, "emailpass", None) emailserver = getattr(config, "emailserver", None) emailport = getattr(config, "emailport", None) else: emailsender, emailuser, emailpass, emailserver, emailport = ( None, None, None, None, None ) # override with payload values if 'emailsender' in payload: emailsender = payload['emailsender'] if 'emailuser' in payload: emailuser = payload['emailuser'] if 'emailpass' in payload: emailpass = payload['emailpass'] if 'emailserver' in payload: emailserver = payload['emailserver'] if 'emailport' in payload: emailport = payload['emailport'] if (emailsender is None or emailserver is None or emailport is None): LOGGER.error( "[%s] Invalid email server settings " "provided. Can't send an email." % payload['reqid'] ) return { 'success': False, 'failure_reason': ( "invalid request: missing 'emailsender', " "'emailserver', or 'emailport' in request" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Invalid email server settings provided. Can't send an email." ]) } # check if we don't need to send an email to this user if payload['created_info']['send_verification'] is False: LOGGER.error( '[%s] Verify email request failed for ' 'user_id: %s, email: %s, session_token: %s.' 'Not allowed to send a verification email to this user.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "not allowed to send verification email to target user, " "send_verification = False" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Not allowed to send an email verification request." ]) } # this checks if the database connection is live currproc = mp.current_process() engine = getattr(currproc, 'authdb_engine', None) if override_authdb_path: currproc.auth_db_path = override_authdb_path if not engine: currproc.authdb_engine, currproc.authdb_conn, currproc.authdb_meta = ( authdb.get_auth_db( currproc.auth_db_path, echo=raiseonfail ) ) users = currproc.authdb_meta.tables['users'] # first, we'll verify the user was created successfully, their account is # currently set to inactive and their role is 'locked'. then, we'll verify # if the session token provided exists and get the IP address and the # browser identifier out of it. # look up the provided user user_sel = select([ users.c.user_id, users.c.email, users.c.is_active, users.c.user_role, ]).select_from(users).where( users.c.email == payload['email_address'] ).where( users.c.user_id == payload['created_info']['user_id'] ) user_results = currproc.authdb_conn.execute(user_sel) user_info = user_results.fetchone() user_results.close() if not user_info: LOGGER.error( '[%s] Verify email request failed for ' 'user_id: %s, email: %s, session_token: %s.' 'The specified user does not exist.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "target user for verification email does not exist" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Invalid verify email request." ]) } if user_info['is_active'] or user_info['user_role'] != 'locked': LOGGER.error( '[%s] Verify email request failed for ' 'user_id: %s, email: %s, session_token: %s.' 'The specified user is already active and ' 'does not need a verification email.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "target user for verification email already active and verified" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Not sending an verify email request to an existing user." ]) } # check the session session_info = auth_session_exists( {'session_token': payload['session_token'], 'pii_salt': payload['pii_salt'], 'reqid': payload['reqid']}, raiseonfail=raiseonfail, override_authdb_path=override_authdb_path ) if not session_info['success']: LOGGER.error( '[%s] Verify email request failed for ' 'user_id: %s, email: %s, session_token: %s.' 'The session requesting a verify email is not valid.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "invalid session for requesting a verification email" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Invalid verify email request." ]) } # get the IP address and browser ID from the session ip_addr = session_info['session_info']['ip_address'] browser = session_info['session_info']['user_agent'] # TODO: we'll use geoip to get the location of the person who initiated the # request. # get the verification token's expiry datetime verification_expiry_td = timedelta(seconds=payload['verification_expiry']) verification_expiry_dt = ( datetime.utcnow() + verification_expiry_td ).isoformat() # format the verification token and wrap it to 70 chars per line because now # it's a bit too long for one line. we'll use a textbox on the verification # page to let people to paste this in if isinstance(payload['verification_token'], bytes): payload['verification_token'] = ( payload['verification_token'].decode('utf-8') ) formatted_verification_token = '\n'.join( textwrap.wrap(payload['verification_token']) ) # generate the email message msgtext = SIGNUP_VERIFICATION_EMAIL_TEMPLATE.format( server_baseurl=payload['server_baseurl'], server_name=payload['server_name'], account_verify_url=payload['account_verify_url'], verification_code=formatted_verification_token, verification_expiry='%s (UTC time)' % verification_expiry_dt, browser_identifier=browser.replace('_', '.'), ip_address=ip_addr, user_email=payload['email_address'], ) recipients = [user_info['email']] subject = SIGNUP_VERIFICATION_EMAIL_SUBJECT.format( server_name=payload['server_name'] ) # send the email email_sent = send_email( emailsender, subject, msgtext, recipients, emailserver, emailuser, emailpass, payload['pii_salt'], port=emailport ) if email_sent: emailverify_sent_datetime = datetime.utcnow() # finally, we'll update the users table with the actual # emailverify_sent_datetime if sending succeeded. upd = users.update( ).where( users.c.user_id == payload['created_info']['user_id'] ).where( users.c.is_active.is_(False) ).where( users.c.email == payload['created_info']['user_email'] ).values({ 'emailverify_sent_datetime': emailverify_sent_datetime, }) result = currproc.authdb_conn.execute(upd) result.close() LOGGER.info( '[%s] Verify email request succeeded for ' 'user_id: %s, email: %s, session_token: %s. ' 'Email sent on: %s UTC.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt']), emailverify_sent_datetime.isoformat()) ) return { 'success': True, 'user_id': user_info['user_id'], 'email_address': user_info['email'], 'emailverify_sent_datetime': emailverify_sent_datetime, 'messages': ([ "Verify email sent successfully." ]) } else: LOGGER.error( '[%s] Verify email request failed for ' 'user_id: %s, email: %s, session_token: %s.' 'The email server could not send the email ' 'to the specified address.' % (payload['reqid'], pii_hash(payload['created_info']['user_id'], payload['pii_salt']), pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "verification email could not be sent " "because of an email server problem" ), 'user_id': None, 'email_address': None, 'emailverify_sent_datetime': None, 'messages': ([ "Could not send email for the verify email request." ]) } def set_user_emailaddr_verified(payload, raiseonfail=False, override_authdb_path=None, config=None): """Sets the verification status of the email address of the user. This is called by the frontend after it verifies that the token challenge to verify the user's email succeeded and has not yet expired. This will set the user_role to 'authenticated' (or the previous user role before locking) and the is_active column to True. Parameters ---------- payload : dict This is a dict with the following key: - email Finally, the payload must also include the following keys (usually added in by a wrapping function): - reqid: int or str - pii_salt: str override_authdb_path : str or None If given as a str, is the alternative path to the auth DB. raiseonfail : bool If True, will raise an Exception if something goes wrong. config : SimpleNamespace object or None An object containing systemwide config variables as attributes. This is useful when the wrapping function needs to pass in some settings directly from environment variables. Returns ------- dict Returns a dict containing the user_id, is_active, and user_role values if verification status is successfully set. """ for key in ('reqid', 'pii_salt'): if key not in payload: LOGGER.error( "Missing %s in payload dict. Can't process this request." % key ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'user_id': None, 'is_active': False, 'user_role': 'locked', 'messages': ["Invalid email verification toggle request."], } if 'email' not in payload: LOGGER.error( '[%s] Invalid email verification toggle request, missing %s.' % (payload['reqid'], 'email') ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % 'email' ), 'user_id': None, 'is_active': False, 'user_role': 'locked', 'messages': ["Invalid email verification toggle request."] } # this checks if the database connection is live currproc = mp.current_process() engine = getattr(currproc, 'authdb_engine', None) if override_authdb_path: currproc.auth_db_path = override_authdb_path if not engine: currproc.authdb_engine, currproc.authdb_conn, currproc.authdb_meta = ( authdb.get_auth_db( currproc.auth_db_path, echo=raiseonfail ) ) users = currproc.authdb_meta.tables['users'] sel = select( [users.c.user_id, users.c.user_role, users.c.extra_info] ).select_from( users ).where( users.c.email == payload["email"] ) result = currproc.authdb_conn.execute(sel) row = result.first() if row is None: LOGGER.error( '[%s] Email verification toggle request failed for ' 'email: %s.' 'The database rows corresponding to ' 'the user do not exist.' % (payload['reqid'], pii_hash(payload['email'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "could not find user in DB by email" ), 'user_id': None, 'is_active': False, 'user_role': 'locked', 'messages': ["Email verification toggle request failed."] } # # get the previous user_role if any # current_user_role = row["user_role"] user_extra_info = row["extra_info"] previous_user_roles = user_extra_info.get("previous_user_roles", ["locked"]) if current_user_role != "locked": user_role_to_set = current_user_role elif previous_user_roles[-1] != "locked": user_role_to_set = previous_user_roles[-1] else: user_role_to_set = "authenticated" # update the table for this user upd = users.update( ).where( users.c.is_active.is_(False) ).where( users.c.email == payload['email'] ).values({ 'is_active': True, 'email_verified': True, 'user_role': user_role_to_set }) currproc.authdb_conn.execute(upd) sel = select([ users.c.user_id, users.c.is_active, users.c.user_role, ]).select_from(users).where( (users.c.email == payload['email']) ) result = currproc.authdb_conn.execute(sel) rows = result.fetchone() result.close() if rows: LOGGER.info( '[%s] Email verification toggle request succeeded for ' 'user_id: %s, email: %s, role: %s, is_active: %s.' % (payload['reqid'], pii_hash(rows['user_id'], payload['pii_salt']), pii_hash(payload['email'], payload['pii_salt']), rows['user_role'], rows['is_active']) ) return { 'success': True, 'user_id': rows['user_id'], 'is_active': rows['is_active'], 'user_role': rows['user_role'], 'messages': ["Email verification toggle request succeeded."] } else: LOGGER.error( '[%s] Email verification toggle request failed for ' 'email: %s.' 'The database rows corresponding to ' 'the user could not be updated.' % (payload['reqid'], pii_hash(payload['email'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "could not update user verified status in DB" ), 'user_id': None, 'is_active': False, 'user_role': 'locked', 'messages': ["Email verification toggle request failed."] } def set_user_email_sent(payload, raiseonfail=False, override_authdb_path=None, config=None): """Sets the verify/forgot email sent flag & time for the newly created user. This is useful when some other way of emailing the user to verify their sign up or their password forgot request is used, external to authnzerver. Use this function to let the authnzerver know that an email has been sent so it knows the correct move if someone tries to sign up for an account with the same email address later. Parameters ---------- payload : dict This is a dict with the following key: - email, str - email_type, str: one of "signup", "forgotpass" Finally, the payload must also include the following keys (usually added in by a wrapping function): - reqid: int or str - pii_salt: str override_authdb_path : str or None If given as a str, is the alternative path to the auth DB. raiseonfail : bool If True, will raise an Exception if something goes wrong. config : SimpleNamespace object or None An object containing systemwide config variables as attributes. This is useful when the wrapping function needs to pass in some settings directly from environment variables. Returns ------- dict Returns a dict containing the email address and email*_sent_datetime values if the sent-email notification was successfully set. """ for key in ('reqid', 'pii_salt'): if key not in payload: LOGGER.error( "Missing %s in payload dict. Can't process this request." % key ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'messages': ["Invalid email sent notification request."], } for key in ('email', 'email_type'): if key not in payload: LOGGER.error( '[%s] Invalid email sent notification request, missing %s.' % (payload['reqid'], key) ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'messages': ["Invalid email sent notification request."] } # this checks if the database connection is live currproc = mp.current_process() engine = getattr(currproc, 'authdb_engine', None) if override_authdb_path: currproc.auth_db_path = override_authdb_path if not engine: currproc.authdb_engine, currproc.authdb_conn, currproc.authdb_meta = ( authdb.get_auth_db( currproc.auth_db_path, echo=raiseonfail ) ) users = currproc.authdb_meta.tables['users'] email_sent_datetime = datetime.utcnow() if payload["email_type"] == "signup": update_col = "emailverify_sent_datetime" elif payload["email_type"] == "forgotpass": update_col = "emailforgotpass_sent_datetime" else: LOGGER.error( '[%s] Invalid email sent notification request, ' 'incorrect email_type.' % payload['reqid'] ) return { 'success': False, 'failure_reason': ( "invalid request: invalid email_type requested" ), 'messages': ["Invalid email sent notification request."] } # update the table for this user upd = users.update( ).where( users.c.email == payload['email'] ).values({ update_col: email_sent_datetime, }) currproc.authdb_conn.execute(upd) sel = select([ users.c.user_id, users.c.is_active, users.c.user_role, users.c.email, users.c.emailverify_sent_datetime, users.c.emailforgotpass_sent_datetime, ]).select_from(users).where( (users.c.email == payload['email']) ) result = currproc.authdb_conn.execute(sel) rows = result.fetchone() result.close() if rows: LOGGER.info( '[%s] Email sent notification request succeeded for ' 'user_id: %s, email: %s, role: %s, is_active: %s.' % (payload['reqid'], pii_hash(rows['user_id'], payload['pii_salt']), pii_hash(payload['email'], payload['pii_salt']), pii_hash(rows['user_role'], payload['pii_salt']), rows['is_active']) ) return { 'success': True, 'email': rows['email'], 'emailverify_sent_datetime': rows['emailverify_sent_datetime'], 'emailforgotpass_sent_datetime': ( rows['emailforgotpass_sent_datetime'] ), 'user_id': rows['user_id'], 'is_active': rows['is_active'], 'user_role': rows['user_role'], 'messages': ["Email sent notification request succeeded."] } else: LOGGER.error( '[%s] Email sent notification request failed for ' 'email: %s.' 'The database rows corresponding to ' 'the user could not be updated.' % (payload['reqid'], pii_hash(rows['user_id'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "could not update the email sent status in DB" ), 'messages': ["Email sent notification request failed."] } ############################## ## FORGOT PASSWORD HANDLING ## ############################## def send_forgotpass_verification_email(payload, raiseonfail=False, override_authdb_path=None, config=None): """This actually sends the forgot password email. Parameters ----------- payload : dict Keys expected in this dict from a client are: - email_address: str, the email address to send the email to - session_token: str, session token of the user being sent the email - server_name: str, the name of the frontend server - server_baseurl: str, the base URL of the frontend server - password_forgot_url: str, the URL fragment of the frontend forgot-password process initiation endpoint - verification_token: str, a verification token generated by frontend - verification_expiry: int, number of seconds after which the token expires In addition, the following items must be provided by a wrapper function to set up the email server. - emailuser - emailpass - emailserver - emailport - emailsender These can be provided as part of the payload as dict keys or as attributes in the SimpleNamespace object passed in the config kwarg. The config object will be checked first, and the payload items will override it. Finally, the payload must also include the following keys (usually added in by a wrapping function): - reqid: int or str - pii_salt: str override_authdb_path : str or None If given as a str, is the alternative path to the auth DB. raiseonfail : bool If True, will raise an Exception if something goes wrong. config : SimpleNamespace object or None An object containing systemwide config variables as attributes. This is useful when the wrapping function needs to pass in some settings directly from environment variables. Returns ------- dict Returns a dict containing the user_id, email_address, and the emailforgotpass_sent_datetime value if email was sent successfully. """ for key in ('reqid', 'pii_salt'): if key not in payload: LOGGER.error( "Missing %s in payload dict. Can't process this request." % key ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ["Invalid forgot-password email request."], } for key in ('email_address', 'session_token', 'server_name', 'server_baseurl', 'password_forgot_url', 'verification_token', 'verification_expiry'): if key not in payload: LOGGER.error( '[%s] Invalid forgot-password request, missing %s.' % (payload['reqid'], key) ) return { 'success': False, 'failure_reason': ( "invalid request: missing '%s' in request" % key ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Invalid forgot-password email request." ]) } # now check for the SMTP server config items in the payload or in config if config is not None: emailsender = getattr(config, "emailsender", None) emailuser = getattr(config, "emailuser", None) emailpass = getattr(config, "emailpass", None) emailserver = getattr(config, "emailserver", None) emailport = getattr(config, "emailport", None) else: emailsender, emailuser, emailpass, emailserver, emailport = ( None, None, None, None, None ) # override with payload values if 'emailsender' in payload: emailsender = payload['emailsender'] if 'emailuser' in payload: emailuser = payload['emailuser'] if 'emailpass' in payload: emailpass = payload['emailpass'] if 'emailserver' in payload: emailserver = payload['emailserver'] if 'emailport' in payload: emailport = payload['emailport'] if (emailsender is None or emailserver is None or emailport is None): LOGGER.error( "[%s] Invalid email server settings " "provided. Can't send an email." % payload['reqid'] ) return { 'success': False, 'failure_reason': ( "missing 'emailserver', 'emailsender', 'emailport' in request" ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Invalid email server settings provided. Can't send an email." ]) } # this checks if the database connection is live currproc = mp.current_process() engine = getattr(currproc, 'authdb_engine', None) if override_authdb_path: currproc.auth_db_path = override_authdb_path if not engine: currproc.authdb_engine, currproc.authdb_conn, currproc.authdb_meta = ( authdb.get_auth_db( currproc.auth_db_path, echo=raiseonfail ) ) users = currproc.authdb_meta.tables['users'] user_sel = select([ users.c.user_id, users.c.email, users.c.is_active, users.c.user_role, users.c.emailforgotpass_sent_datetime, ]).select_from(users).where( users.c.email == payload['email_address'] ).where( users.c.is_active.is_(True) ).where( users.c.user_role != 'locked' ).where( users.c.user_role != 'anonymous' ) user_results = currproc.authdb_conn.execute(user_sel) user_info = user_results.fetchone() user_results.close() if not user_info: LOGGER.error( "[%s] Forgot-password email request failed for " "email: %s, session_token: %s." "User matching the provided email address " "doesn't exist or is not active." % (payload['reqid'], pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "invalid user for forgot-pass email request" ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Invalid password reset email request." ]) } # check the last time we sent a forgot password email to this user if user_info['emailforgotpass_sent_datetime'] is not None: check_elapsed = ( datetime.utcnow() - user_info['emailforgotpass_sent_datetime'] ) > timedelta(hours=24) if check_elapsed: send_forgotpass_email = True else: send_forgotpass_email = False # if we've never sent a forgot-password email before, it's OK to send it else: send_forgotpass_email = True if not send_forgotpass_email: LOGGER.error( "[%s] Forgot-password email request failed for " "email: %s, session_token: %s." "A forgot-password email was already sent to " "this user within the last 24 hours." % (payload['reqid'], pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "forgot-pass verification email sent less than 24 hours ago" ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Invalid password reset email request." ]) } # check the session session_info = auth_session_exists( {'session_token': payload['session_token'], 'pii_salt': payload['pii_salt'], 'reqid': payload['reqid']}, raiseonfail=raiseonfail, override_authdb_path=override_authdb_path ) if not session_info['success']: LOGGER.error( "[%s] Forgot-password email request failed for " "email: %s, session_token: %s." "The session associated with the request is not valid." % (payload['reqid'], pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "invalid session for forgot-pass request" ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Invalid verification email request." ]) } # # finally! we'll process the email sending request # # get the IP address and browser ID from the session ip_addr = session_info['session_info']['ip_address'] browser = session_info['session_info']['user_agent'] # TODO: we'll use geoip to get the location of the person who initiated the # request. # get the verification token's expiry datetime verification_expiry_td = timedelta(seconds=payload['verification_expiry']) verification_expiry_dt = ( datetime.utcnow() + verification_expiry_td ).isoformat() # format the verification token and wrap it to 70 chars per line because now # it's a bit too long for one line. we'll use a textbox on the verification # page to let people to paste this in if isinstance(payload['verification_token'], bytes): payload['verification_token'] = ( payload['verification_token'].decode('utf-8') ) formatted_verification_token = '\n'.join( textwrap.wrap(payload['verification_token']) ) # generate the email message msgtext = FORGOTPASS_VERIFICATION_EMAIL_TEMPLATE.format( server_baseurl=payload['server_baseurl'], password_forgot_url=payload['password_forgot_url'], server_name=payload['server_name'], verification_code=formatted_verification_token, verification_expiry='%s (UTC time)' % verification_expiry_dt, browser_identifier=browser.replace('_', '.'), ip_address=ip_addr, user_email=payload['email_address'], ) recipients = [user_info['email']] subject = FORGOTPASS_VERIFICATION_EMAIL_SUBJECT.format( server_name=payload['server_name'] ) # send the email email_sent = send_email( emailsender, subject, msgtext, recipients, emailserver, emailuser, emailpass, payload['pii_salt'], port=emailport ) if email_sent: emailforgotpass_sent_datetime = datetime.utcnow() # finally, we'll update the users table with the actual # emailforgotpass_sent_datetime if sending succeeded. upd = users.update( ).where( users.c.is_active.is_(True) ).where( users.c.email == payload['email_address'] ).values({ 'emailforgotpass_sent_datetime': emailforgotpass_sent_datetime, }) result = currproc.authdb_conn.execute(upd) result.close() LOGGER.info( '[%s] Forgot-password email request succeeded for ' 'email: %s, session_token: %s. ' 'Email sent on: %s UTC.' % (payload['reqid'], pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt']), emailforgotpass_sent_datetime.isoformat()) ) return { 'success': True, 'user_id': user_info['user_id'], 'email_address': user_info['email'], 'emailforgotpass_sent_datetime': emailforgotpass_sent_datetime, 'messages': ([ "Password reset request sent successfully to %s" % recipients ]) } else: LOGGER.error( '[%s] Forgot-password email request failed for ' 'email: %s, session_token: %s.' 'The email server could not send the ' 'email to the specified address.' % (payload['reqid'], pii_hash(payload['email_address'], payload['pii_salt']), pii_hash(payload['session_token'], payload['pii_salt'])) ) return { 'success': False, 'failure_reason': ( "forgot-pass verification email " "could not be sent because email server issue" ), 'user_id': None, 'email_address': None, 'emailforgotpass_sent_datetime': None, 'messages': ([ "Could not send email to %s for " "the user password reset request." % recipients ]) }

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a2ee5016384c0140b5c9af1a1dcb15da9f449e54

277

py

Python

molo/core/mixins.py

Ishma59/molo

4fd31df9266bc251e09e9339a132d3ccd4143c69

[ "BSD-2-Clause" ]

25

2015-09-26T13:45:30.000Z

2018-09-13T14:12:20.000Z

molo/core/mixins.py

Ishma59/molo

4fd31df9266bc251e09e9339a132d3ccd4143c69

[ "BSD-2-Clause" ]

510

2015-05-29T09:30:44.000Z

2018-12-11T09:08:11.000Z

molo/core/mixins.py

Ishma59/molo

4fd31df9266bc251e09e9339a132d3ccd4143c69

[ "BSD-2-Clause" ]

5

2020-03-26T19:30:13.000Z

2020-09-04T16:35:59.000Z

class PageEffectiveImageMixin(object): def get_effective_image(self): if self.image: return self.image page = self.get_main_language_page() if page.specific.image: return page.specific.get_effective_image() return ''

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a2f1c23efb3f7a0be3a4f09ee0e3475fc0996382

4,521

py

Python

docs/tutorials/blackboxoptimization.py

schaul/pybrain

6e1bd1e9b232044a4e0498fd63799b31ce50f460

[ "BSD-3-Clause" ]

4

2015-01-01T14:57:38.000Z

2018-07-12T04:21:36.000Z

docs/tutorials/blackboxoptimization.py

abhishekgahlot/pybrain

c54661f13857d5bcb0095ba2fb12f5a403a4a70f

[ "BSD-3-Clause" ]

null

docs/tutorials/blackboxoptimization.py

abhishekgahlot/pybrain

c54661f13857d5bcb0095ba2fb12f5a403a4a70f

[ "BSD-3-Clause" ]

2

2015-01-23T09:23:58.000Z

2019-02-22T05:42:29.000Z

############################################################################ # PyBrain Tutorial "Black Box Optimization" # # Author: Tom Schaul, tom@idsia.ch ############################################################################ __author__ = 'Tom Schaul, tom@idsia.ch' """ A script that attempts to illustrate a large variety of use-cases for different kinds of black-box learning algorithms. """ from pybrain.structure.networks.network import Network from pybrain.optimization import * #@UnusedWildImport """ The problem we would like to solve can be anything that has something like a fitness function. The following switches between two different examples. The variable 'theparams' contains the trainable parameters that affect the fitness. """ if False: """ Simple function optimization: here the parameters are learned directly. """ from scipy import randn from pybrain.rl.environments.functions import SphereFunction thetask = SphereFunction(3) theparams = randn(3) else: """ Simple pole-balancing task: here we learn the weights of a neural network controller.""" from pybrain.tools.shortcuts import buildNetwork from pybrain.rl.environments.cartpole.balancetask import BalanceTask thetask = BalanceTask() theparams = buildNetwork(thetask.outdim, thetask.indim, bias=False) print 'Subsequently, we attempt to solve the following task:' print thetask.__class__.__name__ if isinstance(theparams, Network): print '\nby finding good weights for this (simple) network:' print theparams print '\nwhich has', theparams.paramdim, 'trainable parameters. (the dimensions of its layers are:', for m in theparams.modules: print m.indim, ',', print ')\n' """ We allow every algorithm a limited number of evaluations. """ maxEvals = 1000 """ Standard function minimization: """ print 'fmin', NelderMead(thetask, theparams, maxEvaluations=maxEvals).learn() """ The same, using some other algorithms (note that the syntax for invoking them is always the same) """ print 'CMA', CMAES(thetask, theparams, maxEvaluations=maxEvals).learn() print 'NES', ExactNES(thetask, theparams, maxEvaluations=maxEvals).learn() print 'FEM', FEM(thetask, theparams, maxEvaluations=maxEvals).learn() print 'Finite Differences', FiniteDifferences(thetask, theparams, maxEvaluations=maxEvals).learn() print 'SPSA', SimpleSPSA(thetask, theparams, maxEvaluations=maxEvals).learn() print 'PGPE', PGPE(thetask, theparams, maxEvaluations=maxEvals).learn() """ Evolutionary methods fall in the Learner framework as well. All the following are examples.""" print 'HillClimber', HillClimber(thetask, theparams, maxEvaluations=maxEvals).learn() print 'WeightGuessing', WeightGuessing(thetask, theparams, maxEvaluations=maxEvals).learn() print 'ES 50+50', ES(thetask, theparams, maxEvaluations=maxEvals).learn() """ We can change some default parameters, e.g.""" print 'ES 5+5', ES(thetask, theparams, mu=5, lambada=5, maxEvaluations=maxEvals).learn() """ Memetic algorithms are a kind of meta-algorithm, doing topology mutations on the top-level, and using other algorithms internally as a kind of local search (default there: hill-climbing).""" print 'Memetic Climber', MemeticSearch(thetask, theparams, maxEvaluations=maxEvals).learn() print 'Memetic ES 50+50', MemeticSearch(thetask, theparams, maxEvaluations=maxEvals, localSearch=ES, localSteps=200).learn() print 'Memetic ES 5+5', MemeticSearch(thetask, theparams, maxEvaluations=maxEvals, localSearch=ES, localSearchArgs={'mu': 5, 'lambada': 5}).learn() print 'Memetic NES', MemeticSearch(thetask, theparams, maxEvaluations=maxEvals, localSearch=ExactNES, localSearchArgs={'batchSize': 20}).learn() """ Inner memetic is the population based variant (on the topology level). """ print 'Inner Memetic Climber', InnerMemeticSearch(thetask, theparams, maxEvaluations=maxEvals).learn() print 'Inner Memetic CMA', InnerMemeticSearch(thetask, theparams, maxEvaluations=maxEvals, localSearch=CMAES).learn() """ Inverse memetic algorithms do local search on topology mutations, and weight changes in the top-level search. """ print 'Inverse Memetic Climber', InverseMemeticSearch(thetask, theparams, maxEvaluations=maxEvals).learn()

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1

0

3

a2f24cf445d3bd7d09e63d88b2006458760e0a2c

170

py

Python

pythonexercicios/ex074.py

andrebatist4/cursoemvideo-python

a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3

[ "MIT" ]

null

pythonexercicios/ex074.py

andrebatist4/cursoemvideo-python

a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3

[ "MIT" ]

null

pythonexercicios/ex074.py

andrebatist4/cursoemvideo-python

a12b0023f01a38cc3fc5bb59aad5ad8a3e54f6d3

[ "MIT" ]

null

import numpy as np alea = (np.random.randint(0, 10, (5))) print(alea) print(f'O maior número sorteado foi {max(alea)}') print(f'O menor número sorteado foi {min(alea)}')

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0c0ab7a2bcfba9f1be100583a32b86d155acf84e

255

py

Python

Singleton/module.py

Supegg/Python_demo

0ef0ba9edd2fa7e96b197549187292981bbdaf88

[ "MIT" ]

null

Singleton/module.py

Supegg/Python_demo

0ef0ba9edd2fa7e96b197549187292981bbdaf88

[ "MIT" ]

null

Singleton/module.py

Supegg/Python_demo

0ef0ba9edd2fa7e96b197549187292981bbdaf88

[ "MIT" ]

null

class Singleton(object): def __init__(self): self.x = 0 def foo(self): pass singleton = Singleton() ''' Python 的模块就是天然的单例模式，因为模块在第一次导入时，会生成 .pyc 文件，当第二次导入时，就会直接加载 .pyc 文件，而不会再次执行模块代码。因此，我们只需把相关的函数和数据定义在一个模块中，就可以获得一个单例对象了。 '''

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null

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null

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1

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1

0

3

0c0ad941b0c1c18d762cf50bdf2528c20056a0c7

908

py

Python

model/sha.py

Manu343726/biicode-common

91b32c6fd1e4a72ce5451183f1766d313cd0e420

[ "MIT" ]

17

2015-04-15T09:40:23.000Z

2017-05-17T20:34:49.000Z

model/sha.py

Manu343726/biicode-common

91b32c6fd1e4a72ce5451183f1766d313cd0e420

[ "MIT" ]

2

2015-04-22T11:29:36.000Z

2018-09-25T09:31:09.000Z

model/sha.py

bowlofstew/common

45e9ca902be7bbbdd73dafe3ab8957bc4a006020

[ "MIT" ]

22

2015-04-15T09:46:00.000Z

2020-09-29T17:03:31.000Z

import hashlib import bson class SHABuilder(object): def __init__(self, value=None): self.md = hashlib.sha1() if value: self.md.update(value) def __iadd__(self, item): if isinstance(item, (set, list, tuple)): for elem in sorted(item): self.md.update(elem) else: self.md.update(item) return self def sha(self): return SHA(self.md.hexdigest()) class SHA(str): '''IMportant: This class CANNOT implement __str__ for easy reading the string as it destroy the behaviour''' def __new__(cls, value): if value is None: return None return str.__new__(SHA, value) def __repr__(self): return self.encode('hex_codec') def serialize(self): return bson.Binary(self) @staticmethod def deserialize(data): return SHA(data)

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0

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null

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null

0

1

0

1

0

3

0c223b5b283383a30c7e4b5589fdce131d3c18f0

3,622

py

Python

civet/minc.py

FNNDSC/pycivet

440839d8dcb3413ec96d06945498a6a9ec710204

[ "MIT" ]

null

civet/minc.py

FNNDSC/pycivet

440839d8dcb3413ec96d06945498a6a9ec710204

[ "MIT" ]

null

civet/minc.py

FNNDSC/pycivet

440839d8dcb3413ec96d06945498a6a9ec710204

[ "MIT" ]

null

""" Defines types and operations related to MINC files. """ from dataclasses import dataclass from os import PathLike from typing import Literal, TypeVar, Generic, Optional from civet.bases import DataFile from civet.extraction.kernels import ngh_count_kernel _M = TypeVar('_M', bound='GenericMinc') _V = TypeVar('_V', bound='GenericMinc') @dataclass(frozen=True) class GenericMinc(DataFile[_M], Generic[_M]): preferred_suffix = '.mnc' def mincresample(self, like_volume: _V) -> _V: def command(output): return ( 'mincresample', '-clobber', '-quiet', '-like', like_volume, self, output ) return like_volume.create_command(command) def reshape255(self) -> 'GenericMask': def command(output): return ( 'mincreshape', '-quiet', '-clobber', '-unsigned', '-byte', '-image_range', '0', '255', '-valid_range', '0', '255', self, output ) return GenericMask(self).create_command(command) def resamplef64(self, *extra_flags: str) -> 'GenericFloatMinc': def command(output): return 'mincresample', '-quiet', '-double', *extra_flags, self, output return GenericFloatMinc(self).create_command(command) _MA = TypeVar('_MA', bound='GenericMask') class GenericMask(GenericMinc[_MA], Generic[_MA]): def dilate_volume(self, dilation_value: int, neighbors: Literal[6, 26], n_dilations: int) -> _MA: def command(output): return ( 'dilate_volume', self, output, str(dilation_value), str(neighbors), str(n_dilations) ) return self.create_command(command) def minccalc_u8(self, expression: str, *other_volumes: 'GenericMask') -> _MA: def command(output): return ( 'minccalc', '-clobber', '-quiet', '-unsigned', '-byte', '-expression', expression, self, *other_volumes, output ) return self.create_command(command) def mincdefrag(self, label: int, stencil: Literal[6, 19, 27], max_connect: Optional[int] = None) -> _MA: def command(output): cmd = ['mincdefrag', self, output, str(label), str(stencil)] if max_connect is not None: cmd.append(str(max_connect)) return cmd return self.create_command(command) def reshape_bbox(self) -> _MA: def command(output): return 'mincreshape_bbox_helper', self, output return self.create_command(command) def mincmorph_convolve_u8(self, kernel: str | PathLike = ngh_count_kernel) -> _MA: def command(output): return ( 'mincmorph', '-unsigned', '-byte', '-convolve', '-kernel', kernel, self, output ) return self.create_command(command) class Mask(GenericMask['Mask']): """ A `Mask` represents a volume (`.mnc`) with discrete intensities (segmentation volume or brain mask). """ pass _F = TypeVar('_F', bound='GenericFloatMinc') class GenericFloatMinc(GenericMinc[_F], Generic[_F]): def mincblur(self, fwhm: float) -> _F: # result is not a binary mask, it has float values in [0, 1], # maybe define a unique type? def command(output): return 'mincblur_correct_name.sh', '-quiet', '-fwhm', str(fwhm), self, output return self.create_command(command) class FloatMinc(GenericFloatMinc['FloatMinc']): pass

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py

Python

django_day07/related_demo/apps.py

maoxuelin083/Django-Study

6eb332a97c898b11e6d1c1faf80dbb14f4f835c6

[ "Apache-2.0" ]

null

django_day07/related_demo/apps.py

maoxuelin083/Django-Study

6eb332a97c898b11e6d1c1faf80dbb14f4f835c6

[ "Apache-2.0" ]

null

django_day07/related_demo/apps.py

maoxuelin083/Django-Study

6eb332a97c898b11e6d1c1faf80dbb14f4f835c6

[ "Apache-2.0" ]

null

from django.apps import AppConfig class RelatedDemoConfig(AppConfig): name = 'related_demo'

16.333333

35

0.77551

11

98

6.818182

0.909091

0

0.153061

98

5

36

19.6

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0

1

0

false

0

0.333333

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1

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null

0

1

0

null

0

1

0

3

0c34fd59f716fd2db93dffd8611e610c2e33e856

1,575

py

Python

Notatki/Obliczenia-naukowe/NumPy/NumPy.py

bzglinicki/python-trainin

4839514572cfd484f17f8a6473d259f807b9f690

[ "MIT" ]

1

2021-03-10T22:32:40.000Z

Notatki/Obliczenia-naukowe/NumPy/NumPy.py

bzglinicki/python-trainin

4839514572cfd484f17f8a6473d259f807b9f690

[ "MIT" ]

null

Notatki/Obliczenia-naukowe/NumPy/NumPy.py

bzglinicki/python-trainin

4839514572cfd484f17f8a6473d259f807b9f690

[ "MIT" ]

1

2021-03-20T21:01:37.000Z

# Programowanie I R # Pakiet NumPy import numpy as np arr_list = np.array([1, 2, 3, 4, 5]) print(arr_list) print(type(arr_list)) print() arr_tuple = np.array((1, 2, 3, 4, 5)) print(arr_tuple) print(type(arr_tuple)) print() arr = np.array(42) print(arr) print(arr.ndim) print() arr = np.array([[1, 2, 3], [4, 5, 6]]) print(arr) print(arr.ndim) print() arr = np.array([[[1, 2, 3], [4, 5, 6]], [[1, 2, 3], [4, 5, 6]]]) print(arr) print(arr.ndim) print() arr = np.array([1, 2, 3, 4], ndmin = 5) print(arr) print(arr.ndim) print() #*********************************************************************************** arr = np.array([1, 2, 3, 4]) print(arr[0]) print(arr[2] + arr[3]) print() arr = np.array([[1,2,3,4,5], [6,7,8,9,10]]) print(arr[1, 3]) print(arr[1, 2]) print(arr[1, -1]) print() arr = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]) print(arr[0, 1, 2]) print() #*********************************************************************************** arr = np.array([1, 2, 3, 4, 5, 6, 7]) print(arr[1:5]) print(arr[4:]) print(arr[:4]) print(arr[1:5:2]) print() arr = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) print(arr[1, 1:4]) print(arr[0:2, 1:4]) #*********************************************************************************** arr1 = np.array([10, 11, 12, 13, 14, 15]) arr2 = np.array([20, 21, 22, 23, 24, 25]) newarr = np.add(arr1, arr2) print(newarr) print() newarr = np.subtract(arr1, arr2) print(newarr) print() newarr = np.multiply(arr1, arr2) print(newarr) print() newarr = np.divide(arr1, arr2) print(newarr) print()

18.313953

84

0.486349

267

1,575

2.846442

0.172285

0.336842

0.043421

0.057895

0.621053

0.555263

0.428947

0.376316

0

0.104839

0.133968

1,575

86

85

18.313953

0.452346

0.177143

0

0.466667

0

1

0

false

0

0.016667

0

0.016667

0.7

0

null

1

0

1

0

null

0

1

0

3

0c37f3da8b9d4fa16078e5a88468209236dbddd2

1,033

py

Python

qcloudsdkds/MngCountQueryRequest.py

f3n9/qcloudcli

b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19

[ "Apache-2.0" ]

null

qcloudsdkds/MngCountQueryRequest.py

f3n9/qcloudcli

b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19

[ "Apache-2.0" ]

null

qcloudsdkds/MngCountQueryRequest.py

f3n9/qcloudcli

b965a4f0e6cdd79c1245c1d0cd2ca9c460a56f19

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from qcloudsdkcore.request import Request class MngCountQueryRequest(Request): def __init__(self): super(MngCountQueryRequest, self).__init__( 'ds', 'qcloudcliV1', 'MngCountQuery', 'ds.api.qcloud.com') def get_beginTime(self): return self.get_params().get('beginTime') def set_beginTime(self, beginTime): self.add_param('beginTime', beginTime) def get_endTime(self): return self.get_params().get('endTime') def set_endTime(self, endTime): self.add_param('endTime', endTime) def get_module(self): return self.get_params().get('module') def set_module(self, module): self.add_param('module', module) def get_operation(self): return self.get_params().get('operation') def set_operation(self, operation): self.add_param('operation', operation) def get_type(self): return self.get_params().get('type') def set_type(self, type): self.add_param('type', type)

25.825

70

0.649564

125

1,033

5.144

0.24

0.046656

0.108865

0.132193

0.202177

0

0.002463

0.21394

1,033

39

71

26.487179

0.789409

0.020329

0

0.111881

0

1

0.44

false

0

0.04

0.2

0.72

0

null

0

null

0

1

0

1

0

3

0c48928f28f2c61afde2d61eedf6ce41abd62963

62

py

Python

flatpak_indexer/datasource/fedora/__init__.py

kalev/flatpak-indexer

540bdb465e73b0c4627ddbeb649dddcca4b24b59

[ "MIT" ]

null

flatpak_indexer/datasource/fedora/__init__.py

kalev/flatpak-indexer

540bdb465e73b0c4627ddbeb649dddcca4b24b59

[ "MIT" ]

null

flatpak_indexer/datasource/fedora/__init__.py

kalev/flatpak-indexer

540bdb465e73b0c4627ddbeb649dddcca4b24b59

[ "MIT" ]

null

from .updater import FedoraUpdater __all__ = [FedoraUpdater]

15.5

34

0.806452

6

62

7.666667

0.833333

0

0.129032

62

3

35

20.666667

0.851852

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

0c5442bfc1ee309f4ca9f49956688b283d424edc

1,687

py

Python

eva/catalog/df_schema.py

LordDarkula/eva

93433bc88f361c277690c9e31f1b8de657f25823

[ "Apache-2.0" ]

null

eva/catalog/df_schema.py

LordDarkula/eva

93433bc88f361c277690c9e31f1b8de657f25823

[ "Apache-2.0" ]

null

eva/catalog/df_schema.py

LordDarkula/eva

93433bc88f361c277690c9e31f1b8de657f25823

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2018-2020 EVA # # 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. from typing import List from eva.catalog.models.df_column import DataFrameColumn from eva.catalog.schema_utils import SchemaUtils class DataFrameSchema(object): def __init__(self, name: str, column_list: List[DataFrameColumn]): self._name = name self._column_list = column_list self._petastorm_schema = SchemaUtils \ .get_petastorm_schema(self._name, self._column_list) self._pyspark_schema = self._petastorm_schema.as_spark_schema() def __str__(self): schema_str = "SCHEMA:: (" + self._name + ")\n" for column in self._column_list: schema_str += str(column) return schema_str @property def name(self): return self._name @property def column_list(self): return self._column_list @property def petastorm_schema(self): return self._petastorm_schema @property def pyspark_schema(self): return self._pyspark_schema def __eq__(self, other): return self.name == other.name and \ self._column_list == other.column_list

29.596491

74

0.700059

225

1,687

5.022222

0.422222

0.079646

0.061947

0.028319

0

0.009901

0.221695

1,687

56

75

30.125

0.850724

0.330765

0

0.133333

0

0.01167

0

1

0.233333

false

0

0.1

0.166667

0.566667

0

null

0

null

0

1

0

1

0

3

0c641125a598ebb1a1b2a1ccdcd0e78f374defe8

1,203

py

Python

system_monitor/tests/test_exception_handling.py

weijia/system-monitor

1f7f7275905d32e0d76e446609a681a728042fbd

[ "MIT" ]

null

system_monitor/tests/test_exception_handling.py

weijia/system-monitor

1f7f7275905d32e0d76e446609a681a728042fbd

[ "MIT" ]

null

system_monitor/tests/test_exception_handling.py

weijia/system-monitor

1f7f7275905d32e0d76e446609a681a728042fbd

[ "MIT" ]

null

from django.test import TestCase from system_monitor.cmd_handler_with_alarm_report import CmdHandlerWithAlarmReport # noinspection PyMethodMayBeStatic class HandlerClassBaseStub(object): def get_task_object_ufs_url(self): return "ufs://handler_class_stub" def get_subject_for_error(self): return "test subject for error" def get_subject_for_success(self): return "test subject for success" class HandlerClassStubEndsNormally(HandlerClassBaseStub): def msg_loop(self): return class HandlerClassStubRaisingException(HandlerClassBaseStub): def msg_loop(self): raise IOError class NormalCmdHandlerTestClass(CmdHandlerWithAlarmReport): handler_class = HandlerClassStubEndsNormally class CmdHandlerRaisingExceptionTestClass(CmdHandlerWithAlarmReport): handler_class = HandlerClassStubRaisingException # noinspection PyMethodMayBeStatic class MailHandlerExceptionTestCase(TestCase): def setUp(self): pass def test_exception_handling(self): t = CmdHandlerRaisingExceptionTestClass() t.msg_loop() def test_normal_operation(self): t = NormalCmdHandlerTestClass() t.msg_loop()

25.0625

82

0.768911

112

1,203

8.017857

0.410714

0.044543

0.080178

0.035635

0.129176

0

0.173732

1,203

47

83

25.595745

0.903421

0.054032

0

0.142857

0

0.061674

0.021145

0

1

0.285714

false

0.035714

0.071429

0.142857

0.785714

0

null

0

null

0

1

0

1

0

3

a759467b5f569ab342151510b3bf8f6e3b52449e

404

py

Python

519-DeepLearning/assignment1/NN/Loss.py

neale/CS-program

6fef9c39579143bde0ab5d1ec5fedc7210e55814

[ "Unlicense" ]

1

2016-10-24T13:36:23.000Z

519-DeepLearning/assignment1/NN/Loss.py

neale/CS-program

6fef9c39579143bde0ab5d1ec5fedc7210e55814

[ "Unlicense" ]

null

519-DeepLearning/assignment1/NN/Loss.py

neale/CS-program

6fef9c39579143bde0ab5d1ec5fedc7210e55814

[ "Unlicense" ]

null

import numpy as np class CrossEntropy(object): def __init__(self): pass def forward(self, out, y): loss = lambda x, y: -(y*np.log(x +.0001)) - ((1.01 - y) * np.log(1.01 - x)) if out.ndim > 1: return np.mean(loss(out, y)) else: return loss(out, y) def backward(self, out, y): return np.subtract(out, y)

18.363636

83

0.490099

58

404

3.344828

0.482759

0.103093

0.082474

0

0.042969

0.366337

404

21

84

19.238095

0.714844

0

1

0.25

false

0.083333

0.666667

0

null

0

null

0

1

0

1

0

1

0

3

a75990ee887c616128c3876060a09c657908324b

2,359

py

Python

src/tests/test_Problem41.py

Joyce-NL/gep-python-coding-challenge

58639076537535870eedb9909135788909fb6fc3

[ "MIT" ]

null

src/tests/test_Problem41.py

Joyce-NL/gep-python-coding-challenge

58639076537535870eedb9909135788909fb6fc3

[ "MIT" ]

null

src/tests/test_Problem41.py

Joyce-NL/gep-python-coding-challenge

58639076537535870eedb9909135788909fb6fc3

[ "MIT" ]

null

import unittest from Problem41 import find_largest_pandigital_prime, is_prime_number class TestProblem41(unittest.TestCase): def test_main_function(self): self.assertEqual(find_largest_pandigital_prime(1, 9), 7652413, 'the result of the function does not match the expected result.') self.assertEqual(find_largest_pandigital_prime(1, 3), "NA", 'the result of the function does not match the expected result.') self.assertEqual(find_largest_pandigital_prime(5, 6), "NA", 'the result of the funtion does not match the expected result.') self.assertEqual(find_largest_pandigital_prime(8, 9), "NA", 'the result of the function does not match the expeced result.') self.assertEqual(find_largest_pandigital_prime(5, 7), 7652413, 'the result of the function does not match the expected result.') def test_input_type(self): with self.assertRaises(TypeError): find_largest_pandigital_prime(5j, 5) find_largest_pandigital_prime(1, 2j) find_largest_pandigital_prime("yes", 5) find_largest_pandigital_prime(1, "no") def test_input_value(self): with self.assertRaises(ValueError): find_largest_pandigital_prime(-1, 2) find_largest_pandigital_prime(1, 0) find_largest_pandigital_prime(8, 2) find_largest_pandigital_prime(1, 10) find_largest_pandigital_prime(0, 7) def test_is_prime_number_function(self): self.assertEqual(is_prime_number(1), False,'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(2), True, 'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(3), True, 'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(4), False, 'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(7919), True, 'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(123456), False, 'the result of the function does not match the expected result.') self.assertEqual(is_prime_number(7652413), True, 'the result of the function does not match the expected result.') if __name__ == '__main__': unittest.main()

60.487179

136

0.726155

331

2,359

4.936556

0.175227

0.100979

0.192778

0.238678

0.746022

0.685435

0.616891

0.590575

0.560588

0

0.034573

0.190759

2,359

38

137

62.078947

0.821372

0

0.322594

0

0.4375

1

0.125

false

0

0.0625

0

0.21875

0

null

0

1

0

null

0

1

0

3

a75a81a34e3334c7472b1edc99a625a2bb63418b

408

py

Python

Data Structures/Array/ElementInInfiniteArray.py

prabhupant/daily-coding-problem

b3775dd0ad823823e60100624ccf14235c446098

[ "MIT" ]

null

Data Structures/Array/ElementInInfiniteArray.py

prabhupant/daily-coding-problem

b3775dd0ad823823e60100624ccf14235c446098

[ "MIT" ]

null

Data Structures/Array/ElementInInfiniteArray.py

prabhupant/daily-coding-problem

b3775dd0ad823823e60100624ccf14235c446098

[ "MIT" ]

null

def binary_search(arr, l, r, x): while l =< r: mid = l + (r-l)/2 if arr[mid] == x: return mid elif arr[mid] > x: r = mid - 1 else: l = mid + 1 return -1 def find_pos(arr, key): l = 0 h = 1 val = arr[0] while val < key: l = h h = 2*h val = arr[h] return binary_search(arr, l, h, key)

17

40

0.401961

64

408

2.515625

0.328125

0.037267

0.186335

0.198758

0

0.037037

0.470588

408

23

41

17.73913

0.708333

0

null

0

null

0

null

0

1

0

null

0

1

0

3

a774603173901e2d73069f0e8070e5c90eecb671

4,939

py

Python

src/Core/DevOps/Locust/common/store_api.py

michielkalle/platform

72987304b01c1c666c7ac2896ac4157f2e1468c1

[ "MIT" ]

null

src/Core/DevOps/Locust/common/store_api.py

michielkalle/platform

72987304b01c1c666c7ac2896ac4157f2e1468c1

[ "MIT" ]

null

src/Core/DevOps/Locust/common/store_api.py

michielkalle/platform

72987304b01c1c666c7ac2896ac4157f2e1468c1

[ "MIT" ]

null

import random import json import uuid import time import requests from locust.exception import RescheduleTask class StoreApi: context: None def __init__(self, client, context): self.context = context self.client = client self.currency_id = random.choice(self.context.sales_channel['currencies']) self.language_id = random.choice(self.context.sales_channel['languages']) self.token = str(uuid.uuid4()).replace('-', '') self.switch_context({ 'currencyId': self.currency_id, 'languageId': self.language_id }) def home(self): return self.request('/store-api/category/home', name='home') def navigation(self, activeId = 'main-navigation'): return self.request('/store-api/navigation/' + activeId + '/main-navigation', name = 'main-navigation') def footer(self, activeId = 'footer-navigation'): return self.request('/store-api/navigation/' + activeId + '/footer-navigation', name = 'footer-navigation') def service(self, activeId = 'service-navigation'): return self.request('/store-api/navigation/' + activeId + '/service-navigation', name = 'service-navigation') def shipping_methods(self): return self.request('/store-api/shipping-method', name='shipping-methods') def payment_methods(self): return self.request('/store-api/payment-method', name='payment-methods') def languages(self): return self.request('/store-api/language', name='languages') def currencies(self): return self.request('/store-api/currency', name='currencies') def salutations(self): return self.request('/store-api/salutation', name='salutations') def countries(self): return self.request('/store-api/country', name='countries') def search(self): return self.request('/store-api/search', name='search', parameters = {'search': random.choice(self.context.keywords)}) def suggest(self): return self.request('/store-api/search-suggest', name='suggest', parameters = {'search': random.choice(self.context.keywords)}) def cart(self): return self.request('/store-api/checkout/cart', name='cart') def product(self): return self.request('/store-api/product/' + random.choice(self.context.product_ids), name='product') def listing(self): return self.request('/store-api/category/' + random.choice(self.context.category_ids), name='listing') def add_product_to_cart(self): id = random.choice(self.context.product_ids) return self.request( '/store-api/checkout/cart/line-item', name='add-product-to-cart', parameters = { 'items': [{'type': 'product', 'id': id, 'referencedId': id}] } ) def order(self): return self.request('/store-api/checkout/order', name='order') def register(self): self.email = 'user-' + str(uuid.uuid4()).replace('-', '') + '@example.com' response = self.request('/store-api/account/register', name='register', parameters={ 'storefrontUrl': self.context.sales_channel['domain'], 'salutationId': self.context.sales_channel['salutationId'], 'firstName': 'Firstname', 'lastName': 'Lastname', 'email': self.email, 'password': 'shopware', 'acceptedDataProtection': True, 'billingAddress': { 'salutationId': self.context.sales_channel['salutationId'], 'street': 'Test street', 'zipcode': '11111', 'city': 'Test city', 'countryId': self.context.sales_channel['countryId'] } }) self.token = response.headers['sw-context-token'] return response def switch_context(self, parameters): response = self.request('/store-api/context', name='context-switch', parameters=parameters, method='PATCH') self.token = response.headers['sw-context-token'] return response def get_headers(self): return { 'Accept': 'application/json', 'Content-Type': 'application/json', 'sw-context-token': self.token, 'sw-access-key': self.context.sales_channel['access_key'] } def request(self, url, name, parameters = {}, method = 'POST'): headers = self.get_headers() if method == 'POST': response = self.client.post(self.context.url + url, json=parameters, headers=headers, name=name) elif method == 'PATCH': response = self.client.patch(self.context.url + url, json=parameters, headers=headers, name=name) else: response = self.client.get(self.context.url + url, headers=headers, name=name) if response.status_code in [200, 204]: return response return response

36.858209

135

0.620166

533

4,939

5.692308

0.210131

0.068886

0.100198

0.118985

0.409031

0.390574

0.290046

0.156559

0.071193

0

0.003429

0.232436

4,939

133

136

37.135338

0.796887

0

0.09901

0

0.240583

0.064601

0

1

0.217822

false

0.009901

0.059406

0.168317

0.514851

0

null

0

null

0

1

0

1

0

3

a77c4356baff61d2b6990feb7435af8aa0153e4c

1,750

py

Python

Project Code/Statistic with Numpy/Project 3 Election Results/script.py

BIGG000/Data-Science-Learning-Track

46df939699fd6b2c1ee3ce5d35c51a250faa1bce

[ "MIT" ]

2

2020-10-15T22:52:00.000Z

2020-11-22T16:13:20.000Z

Project Code/Statistic with Numpy/Project 3 Election Results/script.py

BIGG000/Data-Science-Learning-Track

46df939699fd6b2c1ee3ce5d35c51a250faa1bce

[ "MIT" ]

null

Project Code/Statistic with Numpy/Project 3 Election Results/script.py

BIGG000/Data-Science-Learning-Track

46df939699fd6b2c1ee3ce5d35c51a250faa1bce

[ "MIT" ]

null

import codecademylib import numpy as np import matplotlib.pyplot as plt survey_responses = ['Ceballos', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos','Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos', 'Ceballos', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Ceballos', 'Ceballos', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Kerrigan', 'Ceballos'] total_ceballos = sum([1 for i in survey_responses if i =='Ceballos']) print('count ceballos '+str(total_ceballos)) percentage_ceballos = total_ceballos/float(len(survey_responses)) print('percentage ceballos '+ str(percentage_ceballos)) possible_surveys = np.random.binomial(float(len((survey_responses))),0.54,size=10000)/float(len(survey_responses)) # plt.hist(possible_surveys,bins=20,range=(0,1)) # plt.show() ceballos_loss_surveys = np.mean(possible_surveys < 0.5) print('loss percentage '+str (ceballos_loss_surveys)) large_survey = np.random.binomial(7000,0.5,size=10000)/7000 print('large_survey'+str(large_survey)) plt.hist(possible_surveys,bins=20,range=(0,1)) plt.hist(large_survey,alpha=.4,bins=20,range=(0,1)) plt.show() ceballos_loss_new = np.mean(large_survey < 0.5) print(ceballos_loss_new)

51.470588

239

0.724

211

1,750

5.876777

0.218009

0.309677

0.232258

0.283871

0.545161

0.532258

0.525806

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0.025498

0.081143

1,750

33

240

53.030303

0.745647

0.032571

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null

1

0

null

0

3

a7aeafb18ee175e470c2818aad6a821f78ee2207

115

py

Python

deploy/virenv/lib/python2.7/site-packages/ptrace/version.py

wangvictor2012/liuwei

0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1

[ "BSD-3-Clause" ]

null

deploy/virenv/lib/python2.7/site-packages/ptrace/version.py

wangvictor2012/liuwei

0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1

[ "BSD-3-Clause" ]

null

deploy/virenv/lib/python2.7/site-packages/ptrace/version.py

wangvictor2012/liuwei

0a06f8fd56d78162f81f1e7e7def7bfdeb4472e1

[ "BSD-3-Clause" ]

null

PACKAGE = "python-ptrace" VERSION = "0.9" WEBSITE = "http://python-ptrace.readthedocs.org/" LICENSE = "GNU GPL v2"

23

49

0.695652

16

115

5

0.875

0.3

0

0.029703

0.121739

115

4

50

28.75

0.762376

0

0.547826

0

1

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false

0

1

0

null

1

0

1

0

null

0

3

a7be5b85b4ff0b938aed4d77c1eb70318f8a2920

52

py

Python

datacoco_email_tools/__init__.py

equinoxfitness/datacoco-email_tools

4ed70d3d57d40954622e1a0a22dda2c0619b9e7a

[ "MIT" ]

2

2020-01-09T09:25:11.000Z

2020-01-15T13:33:16.000Z

datacoco_email_tools/__init__.py

meikalei/datacoco-email_tools

fd230187589293ace9f67cec8e1c71765e959e08

[ "MIT" ]

null

datacoco_email_tools/__init__.py

meikalei/datacoco-email_tools

fd230187589293ace9f67cec8e1c71765e959e08

[ "MIT" ]

2

2020-01-08T14:00:21.000Z

2021-06-23T10:59:38.000Z

from .email_tools import Email __all__ = ["Email"]

13

30

0.730769

7

52

4.714286

0.714286

0

0.153846

52

3

31

17.333333

0.75

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1

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false

0

0.5

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null

0

1

0

null

0

1

0

3

a7c0d21cad36acc10da2753e5d9383bc15620a24

771

py

Python

PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py

Planheat/Planheat-Tool

9764fcb86d3898b232c4cc333dab75ebe41cd421

[ "MIT" ]

2

2020-04-07T03:43:33.000Z

2021-03-23T13:17:42.000Z

PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py

Planheat/Planheat-Tool

9764fcb86d3898b232c4cc333dab75ebe41cd421

[ "MIT" ]

1

2020-07-20T09:56:13.000Z

2020-07-22T10:26:06.000Z

PlanheatMappingModule/PlanHeatDMM/model/refurbishment_level.py

Planheat/Planheat-Tool

9764fcb86d3898b232c4cc333dab75ebe41cd421

[ "MIT" ]

1

2020-07-20T09:40:15.000Z

# -*- coding: utf-8 -*- """ Model Map refurbishment_level table :author: Sergio Aparicio Vegas :version: 0.2 :date: 29 Nov 2017 """ __docformat__ = "restructuredtext" class RefurbishmentLevel(): """ Refurbishment level options """ def __init__(self): self.__id = 0 self.__level = "" def __str__(self): return "id:" + str(self.__id) + " level:" + self.__level @property def id(self): return self.__id @id.setter def id(self, val): self.__id = val @property def level(self): return self.__level @level.setter def level(self, val): self.__level = val

19.275

68

0.50454

77

771

4.675325

0.428571

0.066667

0.05

0

0.021097

0.385214

771

40

69

19.275

0.738397

0.203632

0

0.105263

0

0.044143

0

1

0.315789

false

0

0.157895

0.526316

0

null

0

null

0

1

0

1

0

3

a7caf594d96d04a564b9da163b1661cf7ae48cfe

92

py

Python

med_files_api/medicine/apps.py

TheProrok29/med-files-api

4f00ea016143f04106fce34e86c630081ed6d46a

[ "MIT" ]

null

med_files_api/medicine/apps.py

TheProrok29/med-files-api

4f00ea016143f04106fce34e86c630081ed6d46a

[ "MIT" ]

6

2021-03-30T13:02:39.000Z

2022-03-12T00:24:41.000Z

med_files_api/medicine/apps.py

TheProrok29/med-files-api

4f00ea016143f04106fce34e86c630081ed6d46a

[ "MIT" ]

null

from django.apps import AppConfig class MedicinesConfig(AppConfig): name = 'medicine'

15.333333

33

0.76087

10

92

7

0.9

0

0.163043

92

5

34

18.4

0.909091

0

0.086957

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

a7d69a02c31fbc23a5869db104324cb1fbba9dab

1,003

py

Python

users/migrations/0005_auto_20210214_0117.py

LuisManuelGlz/twitter-clone-server

a794f3322b9a02b480f026e4ce1342f9c4641d7d

[ "MIT" ]

null

users/migrations/0005_auto_20210214_0117.py

LuisManuelGlz/twitter-clone-server

a794f3322b9a02b480f026e4ce1342f9c4641d7d

[ "MIT" ]

null

users/migrations/0005_auto_20210214_0117.py

LuisManuelGlz/twitter-clone-server

a794f3322b9a02b480f026e4ce1342f9c4641d7d

[ "MIT" ]

null

# Generated by Django 3.1.6 on 2021-02-14 01:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0004_auto_20210212_0515'), ] operations = [ migrations.AddField( model_name='profile', name='followers', field=models.ManyToManyField(blank=True, null=True, related_name='_profile_followers_+', to='users.Profile'), ), migrations.AddField( model_name='profile', name='followers_total', field=models.IntegerField(default=0), ), migrations.AddField( model_name='profile', name='following', field=models.ManyToManyField(blank=True, null=True, related_name='_profile_following_+', to='users.Profile'), ), migrations.AddField( model_name='profile', name='following_total', field=models.IntegerField(default=0), ), ]

29.5

121

0.591226

97

1,003

5.938144

0.443299

0.114583

0.159722

0.1875

0.711806

0.586806

0.392361

0.211806

0

0.046154

0.287139

1,003

33

122

30.393939

0.759441

0.044865

0

0.518519

1

0

0.177824

0.024059

0

1

0

false

0

0.037037

0

0.148148

0

null

0

1

0

1

0

1

0

null

0

3

a7d8c6b26c4932d169601dc3941f353ab4be4cb1

852

py

Python

src/model/create_dataset.py

Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier

f54d3ad007a3a6b20101522bf9cc6300fb89cdf7

[ "MIT" ]

9

2021-12-31T01:31:41.000Z

2022-01-09T12:24:28.000Z

src/model/create_dataset.py

Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier

f54d3ad007a3a6b20101522bf9cc6300fb89cdf7

[ "MIT" ]

null

src/model/create_dataset.py

Nix-code/Nix-code-Neural-Machine-Translation-communication-system-to-diminish-language-barrier

f54d3ad007a3a6b20101522bf9cc6300fb89cdf7

[ "MIT" ]

2

2021-12-31T01:31:44.000Z

2022-01-04T11:41:39.000Z

# Neural Machine Translation communication system from preprocess import* """ Cleaning the messages for better data processing. Making two langauge pairs """ def create_dataset(location, sample_size): """Location is the path of the data and sample_size is the total size we are taking from entire dataset. Simply, size of the sample.""" lines = io.open(location, encoding='UTF-8').read().strip().split('\n') # play around the function # print(lines) """ lan_pair is the pair of two langauges. For example: Nepali:English / French:German""" lan_pair = [[preprocess_data(w) for w in l.split('\t')] for l in lines[:sample_size]] return zip(*lan_pair) sample_size = 50000 sent, received = create_dataset(data_location, sample_size) #print(sent[-1]) def max_length(tensor): return max(len(t) for t in tensor)

29.37931

89

0.710094

128

852

4.625

0.554688

0.084459

0.060811

0

0.009986

0.17723

852

28

90

30.428571

0.834522

0.271127

0

0.021077

0

1

0.222222

false

0

0.111111

0.555556

0

null

0

null

0

1

0

1

0

3

a7d9b4905a19b571128e06acc5f63faa268622ea

87

py

Python

2 semester/PW/Coursera/Python/5 Week/8.py

kurpenok/Labs

069c92b7964a1445d093313b38ebdc56318d2a73

[ "MIT" ]

1

2022-02-06T17:50:25.000Z

2 semester/PW/Coursera/Python/5 Week/8.py

kurpenok/Labs

069c92b7964a1445d093313b38ebdc56318d2a73

[ "MIT" ]

null

2 semester/PW/Coursera/Python/5 Week/8.py

kurpenok/Labs

069c92b7964a1445d093313b38ebdc56318d2a73

[ "MIT" ]

1

2022-03-02T06:45:06.000Z

a = list(map(int, input().split())) print(max(a), len(a) - a[::-1].index(max(a)) - 1)

21.75

49

0.528736

17

87

2.705882

0.647059

0.173913

0

0.026316

0.126437

87

3

50

29

0.578947

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

a7dcfaa1aacc650fb632393dfedcdb4b5e0f1eb7

549

py

Python

Model/User.py

TheConstructRIT/Machine-Swipe-System

857e5c5205638a212736d58ac9e1ae27fa300946

[ "MIT" ]

null

Model/User.py

TheConstructRIT/Machine-Swipe-System

857e5c5205638a212736d58ac9e1ae27fa300946

[ "MIT" ]

null

Model/User.py

TheConstructRIT/Machine-Swipe-System

857e5c5205638a212736d58ac9e1ae27fa300946

[ "MIT" ]

null

""" Zachary Cook Class representing a lab user. """ """ Class for a user. """ class User(): """ Constructor for the user. """ def __init__(self,id,maxSessionTime,accessType="UNAUTHORIZED"): self.id = id self.accessType = accessType self.maxSessionTime = maxSessionTime """ Returns the user's id. """ def getId(self): return self.id """ Returns the access type of the user. """ def getAccessType(self): return self.accessType """ Returns the max session time. """ def getSessionTime(self): return self.maxSessionTime

15.25

64

0.68306

68

549

5.455882

0.426471

0.056604

0.113208

0

0.183971

549

36

65

15.25

0.828125

0.127505

0

0.037383

0

1

0.363636

false

0

0.272727

0.727273

0

null

0

null

0

1

0

1

0

3

38ef2f6abf203e5524bd4b5ec3b28f9fb7b7e241

36,490

py

Python

pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py

evereux/catia_python

08948585899b12587b0415ce3c9191a408b34897

[ "MIT" ]

90

2019-02-21T10:05:28.000Z

2022-03-19T01:53:41.000Z

pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

99

2019-05-21T08:29:12.000Z

2022-03-25T09:55:15.000Z

pycatia/hybrid_shape_interfaces/hybrid_shape_sweep_conic.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

26

2019-04-04T06:31:36.000Z

2022-03-30T07:24:47.000Z

#! usr/bin/python3.6 """ Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-07-06 14:02:20.222384 .. warning:: The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only. They are there as a guide as to how the visual basic / catscript functions work and thus help debugging in pycatia. """ from pycatia.hybrid_shape_interfaces.hybrid_shape_sweep import HybridShapeSweep from pycatia.in_interfaces.reference import Reference from pycatia.knowledge_interfaces.angle import Angle from pycatia.knowledge_interfaces.length import Length class HybridShapeSweepConic(HybridShapeSweep): """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | System.IUnknown | System.IDispatch | System.CATBaseUnknown | System.CATBaseDispatch | System.AnyObject | MecModInterfaces.HybridShape | CATGSMIDLItf.HybridShapeSweep | HybridShapeSweepConic | | Represents the hybrid shape conic sweep feature. | Role: To access the data of the conic sweep feature . | | Use the HybridShapeFactory.AddNewSweepConic to create a HybridShapeConicSweep | object. """ def __init__(self, com_object): super().__init__(com_object) self.hybrid_shape_sweep_conic = com_object @property def canonical_detection(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property CanonicalDetection() As long | | Returns or sets whether canonical surfaces of the swept surface are | detected. | Legal values: | 0 No detection of canonical surface is performed. | 2 Detection of canonical surfaces is performed. :return: int :rtype: int """ return self.hybrid_shape_sweep_conic.CanonicalDetection @canonical_detection.setter def canonical_detection(self, value: int): """ :param int value: """ self.hybrid_shape_sweep_conic.CanonicalDetection = value @property def fifth_guide_crv(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property FifthGuideCrv() As Reference | | Returns or sets the fifth guide curve. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.FifthGuideCrv) @fifth_guide_crv.setter def fifth_guide_crv(self, reference_curve: Reference): """ :param Reference reference_curve: """ self.hybrid_shape_sweep_conic.FifthGuideCrv = reference_curve.com_object @property def first_guide_crv(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property FirstGuideCrv() As Reference | | Returns or sets the first guide curve. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.FirstGuideCrv) @first_guide_crv.setter def first_guide_crv(self, reference_curve: Reference): """ :param Reference reference_curve: """ self.hybrid_shape_sweep_conic.FirstGuideCrv = reference_curve.com_object @property def fourth_guide_crv(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property FourthGuideCrv() As Reference | | Returns or sets the fourth guide curve. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.FourthGuideCrv) @fourth_guide_crv.setter def fourth_guide_crv(self, reference_curve: Reference): """ :param Reference reference_curve: """ self.hybrid_shape_sweep_conic.FourthGuideCrv = reference_curve.com_object @property def guide_deviation(self) -> Length: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property GuideDeviation() As Length (Read Only) | | Returns deviation value (length) from guide curves allowed during sweeping | operation in order to smooth it. :return: Length :rtype: Length """ return Length(self.hybrid_shape_sweep_conic.GuideDeviation) @property def guide_deviation_activity(self) -> bool: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property GuideDeviationActivity() As boolean | | Returns or sets information whether a deviation from guide curves is | allowed or not. | Gives the information on performing smoothinh during sweeping | operation. | TRUE or FALSE (FALSE if not specified). :return: bool :rtype: bool """ return self.hybrid_shape_sweep_conic.GuideDeviationActivity @guide_deviation_activity.setter def guide_deviation_activity(self, value: bool): """ :param bool value: """ self.hybrid_shape_sweep_conic.GuideDeviationActivity = value @property def parameter(self) -> float: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Parameter() As double | | Returns or sets the parameter for conic sweep operation. | if the parameter is a law, the method returns FALSE see | HybridShapeLawDistProj :return: float :rtype: float """ return self.hybrid_shape_sweep_conic.Parameter @parameter.setter def parameter(self, value: float): """ :param float value: """ self.hybrid_shape_sweep_conic.Parameter = value @property def parameter_law(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property ParameterLaw() As Reference | | Returns or sets the parameter law useful in conic sweep operation. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.ParameterLaw) @parameter_law.setter def parameter_law(self, reference_law: Reference): """ :param Reference reference_law: """ self.hybrid_shape_sweep_conic.ParameterLaw = reference_law.com_object @property def parameter_law_inversion(self) -> bool: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property ParameterLawInversion() As boolean | | Returns or sets the parameter law inversion flag of conic sweep | operation. | TRUE if parameter law is inverted. Else it is FALSE. see | HybridShapeLawDistProj :return: bool :rtype: bool """ return self.hybrid_shape_sweep_conic.ParameterLawInversion @parameter_law_inversion.setter def parameter_law_inversion(self, value: bool): """ :param bool value: """ self.hybrid_shape_sweep_conic.ParameterLawInversion = value @property def parameter_law_type(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property ParameterLawType() As long | | Returns or sets the parameter law type in conic sweep operation. :return: int :rtype: int """ return self.hybrid_shape_sweep_conic.ParameterLawType @parameter_law_type.setter def parameter_law_type(self, value: int): """ :param int value: """ self.hybrid_shape_sweep_conic.ParameterLawType = value @property def second_guide_crv(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property SecondGuideCrv() As Reference | | Returns or sets the second guide curve. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.SecondGuideCrv) @second_guide_crv.setter def second_guide_crv(self, reference_curve: Reference): """ :param Reference reference_curve: """ self.hybrid_shape_sweep_conic.SecondGuideCrv = reference_curve.com_object @property def smooth_activity(self) -> bool: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property SmoothActivity() As boolean | | Returns or sets information whether sweeping operation is smoothed or | not. | TRUE or FALSE (FALSE if not specified). :return: bool :rtype: bool """ return self.hybrid_shape_sweep_conic.SmoothActivity @smooth_activity.setter def smooth_activity(self, value: bool): """ :param bool value: """ self.hybrid_shape_sweep_conic.SmoothActivity = value @property def smooth_angle_threshold(self) -> Angle: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property SmoothAngleThreshold() As Angle (Read Only) | | Returns angular threshold under which discontinuities . | moving frame,tangency net on reference surface will be smoothed when | sweeping. :return: Angle :rtype: Angle """ return Angle(self.hybrid_shape_sweep_conic.SmoothAngleThreshold) @property def spine(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Spine() As Reference | | Returns or sets the spine (optional) for sweep operation. | param : oElem Spine curve. | | See also: | Reference :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.Spine) @spine.setter def spine(self, reference_spine: Reference): """ :param Reference reference_spine: """ self.hybrid_shape_sweep_conic.Spine = reference_spine.com_object @property def third_guide_crv(self) -> Reference: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property ThirdGuideCrv() As Reference | | Returns or sets the third guide curve. :return: Reference :rtype: Reference """ return Reference(self.hybrid_shape_sweep_conic.ThirdGuideCrv) @third_guide_crv.setter def third_guide_crv(self, reference_curve: Reference): """ :param Reference reference_curve: """ self.hybrid_shape_sweep_conic.ThirdGuideCrv = reference_curve.com_object def get_longitudinal_relimiters(self, op_ia_elem1: Reference, op_ia_elem2: Reference) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetLongitudinalRelimiters(Reference opIAElem1, | Reference opIAElem2) | | Deprecated: | V5R16 CATHybridShapeSweepConic#GetRelimiters Gets the elements | relimiting the spine (or the default spine). | param : opIAElem1 First relimiting feature (plane or point) | param : opIAElem2 Second relimiting feature (plane or point) :param Reference op_ia_elem1: :param Reference op_ia_elem2: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetLongitudinalRelimiters(op_ia_elem1.com_object, op_ia_elem2.com_object) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'get_longitudinal_relimiters' # # vba_code = """ # # Public Function get_longitudinal_relimiters(hybrid_shape_sweep_conic) # # Dim opIAElem1 (2) # # hybrid_shape_sweep_conic.GetLongitudinalRelimiters opIAElem1 # # get_longitudinal_relimiters = opIAElem1 # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def get_nb_guides(self, o_num: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetNbGuides(long oNum) | | Gets the number of guides. | param : oNum Number of guides curve. :param int o_num: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetNbGuides(o_num) def get_parameter_law(self, o_param_start: float, o_param_end: float, o_law_type: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetParameterLaw(double oParamStart, | double oParamEnd, | long oLawType) | | Gets the parameter law used in conic sweep operation. | param : oParamStart Parameter law start value. | param : oParamEnd Parameter law end value. | param : oLawType Parameter law type. :param float o_param_start: :param float o_param_end: :param int o_law_type: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetParameterLaw(o_param_start, o_param_end, o_law_type) def get_relimiters(self, op_ia_elem1: Reference, op_orient1: int, op_ia_elem2: Reference, op_orient2: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetRelimiters(Reference opIAElem1, | long opOrient1, | Reference opIAElem2, | long opOrient2) | | Retrieves the elements relimiting the spine (or the default | spine). | | Parameters: | | opIAElem1 | The first relimiting feature (plane or point) | opOrient1 | Split direction for the first relimitation | 0 means that the beginning of the spine (considering its | orientation) is removed, 1 means that the end of the spine is removed | | opIAElem2 | The second relimiting feature (plane or point) | opOrient2 | Split direction for the second relimitation :param Reference op_ia_elem1: :param int op_orient1: :param Reference op_ia_elem2: :param int op_orient2: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetRelimiters(op_ia_elem1.com_object, op_orient1, op_ia_elem2.com_object, op_orient2) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'get_relimiters' # # vba_code = """ # # Public Function get_relimiters(hybrid_shape_sweep_conic) # # Dim opIAElem1 (2) # # hybrid_shape_sweep_conic.GetRelimiters opIAElem1 # # get_relimiters = opIAElem1 # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def get_tangency(self, op_ia_elem: Reference, op_ia_angle_start: Angle, op_ia_angle_end: Angle, o_law_type: int, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetTangency(Reference opIAElem, | Angle opIAAngleStart, | Angle opIAAngleEnd, | long oLawType, | long iIndex) | | Gets tangency surface or curve and its angle given the guide curve | index. | param : opIAElem | param : opIAAngleStart Start tangency angle from surface or curve reference. | param : opIAAngleEnd End tangency angle from surface or curve reference. | param : oLawType Type of law used for tangency angle from surface or curve reference. | param : iIndex Guide curve index : 1 to 5. :param Reference op_ia_elem: :param Angle op_ia_angle_start: :param Angle op_ia_angle_end: :param int o_law_type: :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetTangency(op_ia_elem.com_object, op_ia_angle_start.com_object, op_ia_angle_end.com_object, o_law_type, i_index) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'get_tangency' # # vba_code = """ # # Public Function get_tangency(hybrid_shape_sweep_conic) # # Dim opIAElem (2) # # hybrid_shape_sweep_conic.GetTangency opIAElem # # get_tangency = opIAElem # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def get_tangency_angle_law_inversion(self, i_index: int, o_inversion: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetTangencyAngleLawInversion(long iIndex, | long oInversion) | | Gets information whether tangency angle law has to be inverted or not for a | specified guide curve. | param : iIndex Guide curve index : 1 to 5 | param : oInversion Non-Zero for TRUE and 0 for FALSE. :param int i_index: :param int o_inversion: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetTangencyAngleLawInversion(i_index, o_inversion) def get_tangency_law(self, op_ia_elem: Reference, op_ia_law: Reference, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetTangencyLaw(Reference opIAElem, | Reference opIALaw, | long iIndex) | | Gets tangency surface or curve and its angle given the guide curve | index. | param : opIAElem Tangency surface or curve feature. | param : opIALaw Start tangency angle from surface or curve reference. | param : iIndex Guide curve index : 1 to 5. :param Reference op_ia_elem: :param Reference op_ia_law: :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.GetTangencyLaw(op_ia_elem.com_object, op_ia_law.com_object, i_index) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'get_tangency_law' # # vba_code = """ # # Public Function get_tangency_law(hybrid_shape_sweep_conic) # # Dim opIAElem (2) # # hybrid_shape_sweep_conic.GetTangencyLaw opIAElem # # get_tangency_law = opIAElem # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def remove_guide(self, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub RemoveGuide(long iIndex) | | Removes a guide curve given its index. | it removes also tangency element if specified. | param : iIndex Guide curve index : 1 to 5. If 0, all guides are removed. :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.RemoveGuide(i_index) def remove_parameter(self) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub RemoveParameter() | | Removes conical sweep parameter, whether it is a single value or a law. :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.RemoveParameter() def remove_tangency(self, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub RemoveTangency(long iIndex) | | removes tangency surface or curve and its angle given the guide curve | index. | param : iIndex Guide curve index : 1 to 5. :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.RemoveTangency(i_index) def set_guide_deviation(self, i_length: float) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetGuideDeviation(double iLength) | | Sets deviation value (length) from guide curves allowed during sweeping | operation in order to smooth it. | param : iLength Numerical value. :param float i_length: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetGuideDeviation(i_length) def set_longitudinal_relimiters(self, ip_ia_elem1: Reference, ip_ia_elem2: Reference) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetLongitudinalRelimiters(Reference ipIAElem1, | Reference ipIAElem2) | | Deprecated: | V5R16 CATHybridShapeSweepConic#SetRelimiters Sets the elements | relimiting the spine (or the default spine). | param : ipIAElem1 First relimiting feature (plane or point) | param : ipIAElem2 Second relimiting feature (plane or point) :param Reference ip_ia_elem1: :param Reference ip_ia_elem2: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetLongitudinalRelimiters(ip_ia_elem1.com_object, ip_ia_elem2.com_object) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'set_longitudinal_relimiters' # # vba_code = """ # # Public Function set_longitudinal_relimiters(hybrid_shape_sweep_conic) # # Dim ipIAElem1 (2) # # hybrid_shape_sweep_conic.SetLongitudinalRelimiters ipIAElem1 # # set_longitudinal_relimiters = ipIAElem1 # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def set_parameter_law(self, i_param_start: float, i_param_end: float, i_law_type: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetParameterLaw(double iParamStart, | double iParamEnd, | long iLawType) | | Sets the parameter law that will be used in conic sweep | operation. | param : iParamStart Parameter law start value. | param : iParamEnd Parameter law end value. | param : iLawType Parameter law type. :param float i_param_start: :param float i_param_end: :param int i_law_type: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetParameterLaw(i_param_start, i_param_end, i_law_type) def set_relimiters(self, ip_ia_elem1: Reference, ip_orient1: int, ip_ia_elem2: Reference, ip_orient2: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetRelimiters(Reference ipIAElem1, | long ipOrient1, | Reference ipIAElem2, | long ipOrient2) | | Sets the elements relimiting the spine (or the default | spine). | | Parameters: | | ipIAElem1 | The first relimiting feature (plane or point) | ipOrient1 | Split direction for the first relimitation | 0 means that the beginning of the spine (considering its | orientation) is removed, 1 means that the end of the spine is removed | | ipIAElem2 | The second relimiting feature (plane or point) | ipOrient2 | Split direction for the second relimitation :param Reference ip_ia_elem1: :param int ip_orient1: :param Reference ip_ia_elem2: :param int ip_orient2: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetRelimiters(ip_ia_elem1.com_object, ip_orient1, ip_ia_elem2.com_object, ip_orient2) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'set_relimiters' # # vba_code = """ # # Public Function set_relimiters(hybrid_shape_sweep_conic) # # Dim ipIAElem1 (2) # # hybrid_shape_sweep_conic.SetRelimiters ipIAElem1 # # set_relimiters = ipIAElem1 # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def set_smooth_angle_threshold(self, i_angle: float) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetSmoothAngleThreshold(double iAngle) | | Sets angular threshold under which discontinuities. | note: moving frame,tangency net on reference surface will be smoothed when | sweeping. | param : iAngle Numerical value. :param float i_angle: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetSmoothAngleThreshold(i_angle) def set_tangency(self, ip_ia_elem: Reference, i_angle_start: float, i_angle_end: float, ilaw_type: int, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetTangency(Reference ipIAElem, | double iAngleStart, | double iAngleEnd, | long ilawType, | long iIndex) | | Sets tangency surface or curve and its angle given the guide curve | index. | param : ipIAElem Tangency surface or curve feature. | param : iAngleStart Start tangency angle from surface or curve reference. | param : iAngleEnd End tangency angle from surface or curve reference. | param : iAngleLawType Type of law used for tangency angle from surface or curve reference. | param : iIndex Guide curve index : 1 to 5. :param Reference ip_ia_elem: :param float i_angle_start: :param float i_angle_end: :param int ilaw_type: :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetTangency(ip_ia_elem.com_object, i_angle_start, i_angle_end, ilaw_type, i_index) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'set_tangency' # # vba_code = """ # # Public Function set_tangency(hybrid_shape_sweep_conic) # # Dim ipIAElem (2) # # hybrid_shape_sweep_conic.SetTangency ipIAElem # # set_tangency = ipIAElem # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def set_tangency_angle_law_inversion(self, i_index: int, i_inversion: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetTangencyAngleLawInversion(long iIndex, | long iInversion) | | Sets information whether tangency angle law has to be inverted or not for a | specified guide curve. | param : iIndex Guide curve index : 1 to 5 | param : iInversion 1 for TRUE and 0 for FALSE. :param int i_index: :param int i_inversion: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetTangencyAngleLawInversion(i_index, i_inversion) def set_tangency_law(self, ip_ia_elem: Reference, ip_ia_law: Reference, i_index: int) -> None: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetTangencyLaw(Reference ipIAElem, | Reference ipIALaw, | long iIndex) | | Sets tangency surface or curve and its angle given the guide curve | index. | param : ipIAElem Tangency surface or curve feature. | param : ipIALaw Start tangency angle from surface or curve reference. | param : iIndex Guide curve index : 1 to 5. :param Reference ip_ia_elem: :param Reference ip_ia_law: :param int i_index: :return: None :rtype: None """ return self.hybrid_shape_sweep_conic.SetTangencyLaw(ip_ia_elem.com_object, ip_ia_law.com_object, i_index) # # # # Autogenerated comment: # # some methods require a system service call as the methods expects a vb array object # # passed to it and there is no way to do this directly with python. In those cases the following code # # should be uncommented and edited accordingly. Otherwise completely remove all this. # # vba_function_name = 'set_tangency_law' # # vba_code = """ # # Public Function set_tangency_law(hybrid_shape_sweep_conic) # # Dim ipIAElem (2) # # hybrid_shape_sweep_conic.SetTangencyLaw ipIAElem # # set_tangency_law = ipIAElem # # End Function # # """ # # system_service = self.application.system_service # # return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def __repr__(self): return f'HybridShapeSweepConic(name="{self.name}")'

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0.639706

0

null

0

1

0

null

0

1

0

1

0

3

ac131b8245d5044a1d1954cbe329ce3bab401b27

242

py

Python

{{cookiecutter.project_slug}}/src/users/factory.py

nvo87/django

fd07fb74ab59e868c73512cd0ca4952129b44cd8

[ "MIT" ]

98

2020-04-21T20:22:16.000Z

2021-06-07T12:33:51.000Z

{{cookiecutter.project_slug}}/src/users/factory.py

nvo87/django

fd07fb74ab59e868c73512cd0ca4952129b44cd8

[ "MIT" ]

70

2020-04-21T21:59:49.000Z

2021-06-13T13:35:01.000Z

{{cookiecutter.project_slug}}/src/users/factory.py

ginsenghillock/django

65ab4f52897ca7efdfde347383153fca4f2d2c14

[ "MIT" ]

23

2020-04-23T06:03:13.000Z

2021-06-09T06:59:34.000Z

from django.contrib.auth.models import AnonymousUser from app.testing import register @register def user(self, **kwargs): return self.mixer.blend('users.User', **kwargs) @register def anon(self, **kwargs): return AnonymousUser()

17.285714

52

0.735537

31

242

5.741935

0.612903

0.123596

0.179775

0

0.140496

242

13

53

18.615385

0.855769

0

0.25

0

0.041322

0

1

0.25

false

0

0.25

0.75

0

null

0

null

0

1

0

1

0

3

ac383c785b7e03f22fe53c30a131bdc8776ecf99

186

py

Python

amazon/sentiment.py

chanduparmar/Amazon_Website_Scraping_Scrapy

e63dd2592bc1ba9de26d091f398f29a8200592b6

[ "MIT" ]

4

2018-06-27T15:52:17.000Z

2020-01-11T14:44:09.000Z

amazon/sentiment.py

chanduparmar/Amazon_Website_Scraping_Scrapy

e63dd2592bc1ba9de26d091f398f29a8200592b6

[ "MIT" ]

null

amazon/sentiment.py

chanduparmar/Amazon_Website_Scraping_Scrapy

e63dd2592bc1ba9de26d091f398f29a8200592b6

[ "MIT" ]

2

2018-08-24T03:27:42.000Z

2020-09-01T00:46:01.000Z

import pandas as pd import numpy as np import matplotlib.pyplot as plt import nltk from nltk.corpus import stopwords amazon = pd.read_csv('amazon.csv') print(amazon.head())

20.666667

35

0.736559

29

186

4.689655

0.62069

0

0.188172

186

8

36

23.25

0.900662

0

0.05618

0

1

0

false

0

0.714286

0

0.714286

0.142857

1

0

null

0

1

0

null

0

1

0

3

ac48806aabb549d4efbed82ef7a386e8484be02c

152

py

Python

HSInfo/projeto/apps.py

burgues0/django-basic-site

3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07

[ "MIT" ]

null

HSInfo/projeto/apps.py

burgues0/django-basic-site

3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07

[ "MIT" ]

null

HSInfo/projeto/apps.py

burgues0/django-basic-site

3ea157f0c8aa3dd02c42edb2d448e6e2bddf7c07

[ "MIT" ]

null

from django.apps import AppConfig class ProjetoConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'projeto'

21.714286

57

0.730263

17

152

6.411765

0.882353

0

0.184211

152

6

58

25.333333

0.879032

0

0.246575

0.19863

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

ac66701fa623f9a900363e426640453944b4eaa4

1,114

py

Python

petra_viewer/widgets/batch_progress.py

yamedvedya/data_viewer

c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916

[ "MIT" ]

null

petra_viewer/widgets/batch_progress.py

yamedvedya/data_viewer

c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916

[ "MIT" ]

null

petra_viewer/widgets/batch_progress.py

yamedvedya/data_viewer

c6238b71edcf0178ebe8ab8f9bf6e56e41cd4916

[ "MIT" ]

null

# Created by matveyev at 06.05.2021 from PyQt5 import QtCore, QtWidgets from petra_viewer.gui.batch_ui import Ui_batch # ---------------------------------------------------------------------- class BatchProgress(QtWidgets.QWidget): stop_batch = QtCore.pyqtSignal() # ---------------------------------------------------------------------- def __init__(self): super(BatchProgress, self).__init__() self._ui = Ui_batch() self._ui.setupUi(self) self._ui.but_box.clicked.connect(self._button_clicked) # -------------------------------------------------------------------- def clear(self): self._ui.tx_status.clear() self._ui.pb_progress.setValue(0) # ---------------------------------------------------------------------- def add_values(self, text, progress): self._ui.tx_status.append(text) self._ui.pb_progress.setValue(progress*100) # ---------------------------------------------------------------------- def _button_clicked(self, button): pass self.stop_batch.emit() self.close()

30.944444

76

0.443447

98

1,114

4.72449

0.479592

0.090713

0.043197

0.060475

0.103672

0

0.014054

0.169659

1,114

36

77

30.944444

0.486486

0.346499

0

1

0.210526

false

0.052632

0.105263

0

0.421053

0

null

0

1

0

null

0

1

0

1

0

3

ac6729f293b2af4b4c8b40274b0a9e23f390dbd2

2,167

py

Python

src/xsd_members/migrations/0005_auto_djfb_to_allauth.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

2

2017-08-14T14:40:17.000Z

2019-02-07T13:10:23.000Z

src/xsd_members/migrations/0005_auto_djfb_to_allauth.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

19

2016-02-07T18:02:53.000Z

2019-11-03T17:48:13.000Z

src/xsd_members/migrations/0005_auto_djfb_to_allauth.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

4

2015-10-19T17:24:35.000Z

2021-05-12T07:30:32.000Z

# -*- coding: utf-8 -*- from django.db import models, migrations from allauth.socialaccount.models import SocialAccount def copy_fb_data(apps, schema_editor): model = apps.get_model('xsd_members', 'MemberProfile') db_alias = schema_editor.connection.alias objects = model.objects.using(db_alias).all() for obj in objects: if obj.facebook_id: sa = SocialAccount( user_id = obj.user.pk, provider = 'facebook', uid = obj.facebook_id, last_login = obj.user.last_login, date_joined = obj.user.date_joined, extra_data = obj.raw_data ) sa.save() class Migration(migrations.Migration): dependencies = [ ('xsd_members', '0004_auto_20141115_1625'), ] operations = [ migrations.RunPython(copy_fb_data), migrations.RemoveField( model_name='memberprofile', name='about_me', ), migrations.RemoveField( model_name='memberprofile', name='access_token', ), migrations.RemoveField( model_name='memberprofile', name='blog_url', ), migrations.RemoveField( model_name='memberprofile', name='facebook_id', ), migrations.RemoveField( model_name='memberprofile', name='facebook_name', ), migrations.RemoveField( model_name='memberprofile', name='facebook_open_graph', ), migrations.RemoveField( model_name='memberprofile', name='facebook_profile_url', ), migrations.RemoveField( model_name='memberprofile', name='image', ), migrations.RemoveField( model_name='memberprofile', name='new_token_required', ), migrations.RemoveField( model_name='memberprofile', name='raw_data', ), migrations.RemoveField( model_name='memberprofile', name='website_url', ), ]

27.782051

58

0.552377

189

2,167

6.084656

0.37037

0.20087

0.248696

0.286957

0.489565

0.326087

0

0.011989

0.345639

2,167

77

59

28.142857

0.799013

0.009691

0

0.485294

0

0.159515

0.010728

0

1

0.014706

false

0

0.029412

0

0.088235

0

null

1

0

null

0

3

ac6da854a5c70eca78a1ec0e02d5e686614664c1

225

py

Python

Files_WebScraping/Task8.py

VikashK21/Coders_Life

89af8bba2163d6331b760de33786caa49892da33

[ "MIT" ]

1

2021-11-30T10:30:16.000Z

Files_WebScraping/Task8.py

VikashK21/WebScraping

560f316a787c4c3e8b51fc83a23acbc80cdb8fe5

[ "MIT" ]

null

Files_WebScraping/Task8.py

VikashK21/WebScraping

560f316a787c4c3e8b51fc83a23acbc80cdb8fe5

[ "MIT" ]

null

# This question is just about the json files that is also known as cache files. # Which we have already used in the previous tasks, the json files. # In the json file we can easily access the data without any network issue.

45

79

0.768889

41

225

4.219512

0.731707

0.121387

0.138728

0

0.2

225

4

80

56.25

0.961111

0.964444

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

3

ac78faaba19c9f97aad2d30987c5c2da9d0d658b

108

py

Python

factorial.py

varunverma760/Python

c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390

[ "MIT" ]

null

factorial.py

varunverma760/Python

c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390

[ "MIT" ]

null

factorial.py

varunverma760/Python

c55ad3aeb4c752c2b0a9e665631f1f7ead0b3390

[ "MIT" ]

null

result =1 i=1 while i<=100: result=result*i i=i+1 pass print("the factorial is {}".format(result))

15.428571

44

0.638889

20

108

3.45

0.55

0.057971

0

0.068966

0.194444

108

7

44

15.428571

0.724138

0

0.184466

0

1

0

false

0.142857

0

0.142857

1

0

null

0

1

0

null

0

1

0

3

3bb500d29f1b13b4e466a76752e72eeea0bd74be

223

py

Python

src/wsgi.py

Shroud007/cappa

f820423374fa7914e66e4e16ad275fd53621c43c

[ "MIT" ]

null

src/wsgi.py

Shroud007/cappa

f820423374fa7914e66e4e16ad275fd53621c43c

[ "MIT" ]

null

src/wsgi.py

Shroud007/cappa

f820423374fa7914e66e4e16ad275fd53621c43c

[ "MIT" ]

null

import os import sys os.environ.setdefault("DJANGO_SETTINGS_MODULE", "src.settings") sys.path[0:0] = [os.path.expanduser("~/django")] from django.core.wsgi import get_wsgi_application application = get_wsgi_application()

24.777778

63

0.784753

32

223

5.28125

0.53125

0.08284

0.213018

0

0.009756

0.080717

223

8

64

27.875

0.814634

0

0.189189

0.099099

0

1

0

false

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

3

3bbc1b0e8e151488a8053085791b77987f8188dc

175,375

py

Python

models_all_solvable2/rsyn0830m02h.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

7

2019-05-08T19:14:34.000Z

2021-12-24T00:00:40.000Z

models_all_solvable2/rsyn0830m02h.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

null

models_all_solvable2/rsyn0830m02h.py

grossmann-group/pyomo-MINLP-benchmarking

714f0a0dffd61675649a805683c0627af6b4929e

[ "MIT" ]

2

2020-05-21T22:15:51.000Z

2020-06-02T23:02:08.000Z

# MINLP written by GAMS Convert at 05/15/20 00:51:16 # # Equation counts # Total E G L N X C B # 1795 749 86 960 0 0 0 0 # # Variable counts # x b i s1s s2s sc si # Total cont binary integer sos1 sos2 scont sint # 1173 925 248 0 0 0 0 0 # FX 0 0 0 0 0 0 0 0 # # Nonzero counts # Total const NL DLL # 4245 4125 120 0 # # Reformulation has removed 1 variable and 1 equation from pyomo.environ import * model = m = ConcreteModel() m.x2 = Var(within=Reals,bounds=(0,None),initialize=0) m.x3 = Var(within=Reals,bounds=(0,None),initialize=0) m.x4 = Var(within=Reals,bounds=(0,None),initialize=0) m.x5 = Var(within=Reals,bounds=(0,None),initialize=0) m.x6 = Var(within=Reals,bounds=(0,None),initialize=0) m.x7 = Var(within=Reals,bounds=(0,None),initialize=0) m.x8 = Var(within=Reals,bounds=(0,None),initialize=0) m.x9 = Var(within=Reals,bounds=(0,None),initialize=0) m.x10 = Var(within=Reals,bounds=(0,None),initialize=0) m.x11 = Var(within=Reals,bounds=(0,None),initialize=0) m.x12 = Var(within=Reals,bounds=(0,None),initialize=0) m.x13 = Var(within=Reals,bounds=(0,None),initialize=0) m.x14 = Var(within=Reals,bounds=(0,None),initialize=0) m.x15 = Var(within=Reals,bounds=(0,None),initialize=0) m.x16 = Var(within=Reals,bounds=(0,None),initialize=0) m.x17 = Var(within=Reals,bounds=(0,None),initialize=0) m.x18 = Var(within=Reals,bounds=(0,None),initialize=0) m.x19 = Var(within=Reals,bounds=(0,None),initialize=0) m.x20 = Var(within=Reals,bounds=(0,None),initialize=0) m.x21 = Var(within=Reals,bounds=(0,None),initialize=0) m.x22 = Var(within=Reals,bounds=(0,None),initialize=0) m.x23 = Var(within=Reals,bounds=(0,None),initialize=0) m.x24 = Var(within=Reals,bounds=(0,None),initialize=0) m.x25 = Var(within=Reals,bounds=(0,None),initialize=0) m.x26 = Var(within=Reals,bounds=(0,None),initialize=0) m.x27 = Var(within=Reals,bounds=(0,None),initialize=0) m.x28 = Var(within=Reals,bounds=(0,None),initialize=0) m.x29 = Var(within=Reals,bounds=(0,None),initialize=0) m.x30 = Var(within=Reals,bounds=(0,None),initialize=0) m.x31 = Var(within=Reals,bounds=(0,None),initialize=0) m.x32 = Var(within=Reals,bounds=(0,None),initialize=0) m.x33 = Var(within=Reals,bounds=(0,None),initialize=0) m.x34 = Var(within=Reals,bounds=(0,None),initialize=0) m.x35 = Var(within=Reals,bounds=(0,None),initialize=0) m.x36 = Var(within=Reals,bounds=(0,None),initialize=0) m.x37 = Var(within=Reals,bounds=(0,None),initialize=0) m.x38 = Var(within=Reals,bounds=(0,None),initialize=0) m.x39 = Var(within=Reals,bounds=(0,None),initialize=0) m.x40 = Var(within=Reals,bounds=(0,None),initialize=0) m.x41 = Var(within=Reals,bounds=(0,None),initialize=0) m.x42 = Var(within=Reals,bounds=(0,None),initialize=0) m.x43 = Var(within=Reals,bounds=(0,None),initialize=0) m.x44 = Var(within=Reals,bounds=(0,None),initialize=0) m.x45 = Var(within=Reals,bounds=(0,None),initialize=0) m.x46 = Var(within=Reals,bounds=(0,None),initialize=0) m.x47 = Var(within=Reals,bounds=(0,None),initialize=0) m.x48 = Var(within=Reals,bounds=(0,None),initialize=0) m.x49 = Var(within=Reals,bounds=(0,None),initialize=0) m.x50 = Var(within=Reals,bounds=(0,None),initialize=0) m.x51 = Var(within=Reals,bounds=(0,None),initialize=0) m.x52 = Var(within=Reals,bounds=(0,None),initialize=0) m.x53 = Var(within=Reals,bounds=(0,None),initialize=0) m.x54 = Var(within=Reals,bounds=(0,None),initialize=0) m.x55 = Var(within=Reals,bounds=(0,None),initialize=0) m.x56 = Var(within=Reals,bounds=(0,None),initialize=0) m.x57 = Var(within=Reals,bounds=(0,None),initialize=0) m.x58 = Var(within=Reals,bounds=(0,None),initialize=0) m.x59 = Var(within=Reals,bounds=(0,None),initialize=0) m.x60 = Var(within=Reals,bounds=(0,None),initialize=0) m.x61 = Var(within=Reals,bounds=(0,None),initialize=0) m.x62 = Var(within=Reals,bounds=(0,None),initialize=0) m.x63 = Var(within=Reals,bounds=(0,None),initialize=0) m.x64 = Var(within=Reals,bounds=(0,None),initialize=0) m.x65 = Var(within=Reals,bounds=(0,None),initialize=0) m.x66 = Var(within=Reals,bounds=(0,None),initialize=0) m.x67 = Var(within=Reals,bounds=(0,None),initialize=0) m.x68 = Var(within=Reals,bounds=(0,None),initialize=0) m.x69 = Var(within=Reals,bounds=(0,None),initialize=0) m.x70 = Var(within=Reals,bounds=(0,None),initialize=0) m.x71 = Var(within=Reals,bounds=(0,None),initialize=0) m.x72 = Var(within=Reals,bounds=(0,None),initialize=0) m.x73 = Var(within=Reals,bounds=(0,None),initialize=0) m.x74 = Var(within=Reals,bounds=(0,None),initialize=0) m.x75 = Var(within=Reals,bounds=(0,None),initialize=0) m.x76 = Var(within=Reals,bounds=(0,None),initialize=0) m.x77 = Var(within=Reals,bounds=(0,None),initialize=0) m.x78 = Var(within=Reals,bounds=(0,None),initialize=0) m.x79 = Var(within=Reals,bounds=(0,None),initialize=0) m.x80 = Var(within=Reals,bounds=(0,None),initialize=0) m.x81 = Var(within=Reals,bounds=(0,None),initialize=0) m.x82 = Var(within=Reals,bounds=(0,None),initialize=0) m.x83 = Var(within=Reals,bounds=(0,None),initialize=0) m.x84 = Var(within=Reals,bounds=(0,None),initialize=0) m.x85 = Var(within=Reals,bounds=(0,None),initialize=0) m.x86 = Var(within=Reals,bounds=(0,None),initialize=0) m.x87 = Var(within=Reals,bounds=(0,None),initialize=0) m.x88 = Var(within=Reals,bounds=(0,None),initialize=0) m.x89 = Var(within=Reals,bounds=(0,None),initialize=0) m.x90 = Var(within=Reals,bounds=(0,None),initialize=0) m.x91 = Var(within=Reals,bounds=(0,None),initialize=0) m.x92 = Var(within=Reals,bounds=(0,None),initialize=0) m.x93 = Var(within=Reals,bounds=(0,None),initialize=0) m.x94 = Var(within=Reals,bounds=(0,None),initialize=0) m.x95 = Var(within=Reals,bounds=(0,None),initialize=0) m.x96 = Var(within=Reals,bounds=(0,None),initialize=0) m.x97 = Var(within=Reals,bounds=(0,None),initialize=0) m.x98 = Var(within=Reals,bounds=(0,None),initialize=0) m.x99 = Var(within=Reals,bounds=(0,None),initialize=0) m.x100 = Var(within=Reals,bounds=(0,None),initialize=0) m.x101 = Var(within=Reals,bounds=(0,None),initialize=0) m.x102 = Var(within=Reals,bounds=(0,None),initialize=0) m.x103 = Var(within=Reals,bounds=(0,None),initialize=0) m.x104 = Var(within=Reals,bounds=(0,None),initialize=0) m.x105 = Var(within=Reals,bounds=(0,None),initialize=0) m.x106 = Var(within=Reals,bounds=(0,None),initialize=0) m.x107 = Var(within=Reals,bounds=(0,None),initialize=0) m.x108 = Var(within=Reals,bounds=(0,None),initialize=0) m.x109 = Var(within=Reals,bounds=(0,None),initialize=0) m.x110 = Var(within=Reals,bounds=(0,None),initialize=0) m.x111 = Var(within=Reals,bounds=(0,None),initialize=0) m.x112 = Var(within=Reals,bounds=(0,None),initialize=0) m.x113 = Var(within=Reals,bounds=(0,None),initialize=0) m.x114 = Var(within=Reals,bounds=(0,None),initialize=0) m.x115 = Var(within=Reals,bounds=(0,None),initialize=0) m.x116 = Var(within=Reals,bounds=(0,None),initialize=0) m.x117 = Var(within=Reals,bounds=(0,None),initialize=0) m.x118 = Var(within=Reals,bounds=(0,None),initialize=0) m.x119 = Var(within=Reals,bounds=(0,None),initialize=0) m.x120 = Var(within=Reals,bounds=(0,None),initialize=0) m.x121 = Var(within=Reals,bounds=(0,None),initialize=0) m.x122 = Var(within=Reals,bounds=(0,None),initialize=0) m.x123 = Var(within=Reals,bounds=(0,None),initialize=0) m.x124 = Var(within=Reals,bounds=(0,None),initialize=0) m.x125 = Var(within=Reals,bounds=(0,None),initialize=0) m.x126 = Var(within=Reals,bounds=(0,None),initialize=0) m.x127 = Var(within=Reals,bounds=(0,None),initialize=0) m.x128 = Var(within=Reals,bounds=(0,None),initialize=0) m.x129 = Var(within=Reals,bounds=(0,None),initialize=0) m.x130 = Var(within=Reals,bounds=(0,None),initialize=0) m.x131 = Var(within=Reals,bounds=(0,None),initialize=0) m.x132 = Var(within=Reals,bounds=(0,None),initialize=0) m.x133 = Var(within=Reals,bounds=(0,None),initialize=0) m.x134 = Var(within=Reals,bounds=(0,None),initialize=0) m.x135 = Var(within=Reals,bounds=(0,None),initialize=0) m.x136 = Var(within=Reals,bounds=(0,None),initialize=0) m.x137 = Var(within=Reals,bounds=(0,None),initialize=0) m.x138 = Var(within=Reals,bounds=(0,None),initialize=0) m.x139 = Var(within=Reals,bounds=(0,None),initialize=0) m.x140 = Var(within=Reals,bounds=(0,None),initialize=0) m.x141 = Var(within=Reals,bounds=(0,None),initialize=0) m.x142 = Var(within=Reals,bounds=(0,None),initialize=0) m.x143 = Var(within=Reals,bounds=(0,None),initialize=0) m.x144 = Var(within=Reals,bounds=(0,None),initialize=0) m.x145 = Var(within=Reals,bounds=(0,None),initialize=0) m.x146 = Var(within=Reals,bounds=(0,None),initialize=0) m.x147 = Var(within=Reals,bounds=(0,None),initialize=0) m.x148 = Var(within=Reals,bounds=(0,None),initialize=0) m.x149 = Var(within=Reals,bounds=(0,None),initialize=0) m.x150 = Var(within=Reals,bounds=(0,None),initialize=0) m.x151 = Var(within=Reals,bounds=(0,None),initialize=0) m.x152 = Var(within=Reals,bounds=(0,None),initialize=0) m.x153 = Var(within=Reals,bounds=(0,None),initialize=0) m.x154 = Var(within=Reals,bounds=(0,None),initialize=0) m.x155 = Var(within=Reals,bounds=(0,None),initialize=0) m.x156 = Var(within=Reals,bounds=(0,None),initialize=0) m.x157 = Var(within=Reals,bounds=(0,None),initialize=0) m.x158 = Var(within=Reals,bounds=(0,None),initialize=0) m.x159 = Var(within=Reals,bounds=(0,None),initialize=0) m.x160 = Var(within=Reals,bounds=(0,None),initialize=0) m.x161 = Var(within=Reals,bounds=(0,None),initialize=0) m.x162 = Var(within=Reals,bounds=(0,None),initialize=0) m.x163 = Var(within=Reals,bounds=(0,None),initialize=0) m.x164 = Var(within=Reals,bounds=(0,None),initialize=0) m.x165 = Var(within=Reals,bounds=(0,None),initialize=0) m.x166 = Var(within=Reals,bounds=(0,None),initialize=0) m.x167 = Var(within=Reals,bounds=(0,None),initialize=0) m.x168 = Var(within=Reals,bounds=(0,None),initialize=0) m.x169 = Var(within=Reals,bounds=(0,None),initialize=0) m.x170 = Var(within=Reals,bounds=(0,None),initialize=0) m.x171 = Var(within=Reals,bounds=(0,None),initialize=0) m.x172 = Var(within=Reals,bounds=(0,None),initialize=0) m.x173 = Var(within=Reals,bounds=(0,None),initialize=0) m.x174 = Var(within=Reals,bounds=(0,None),initialize=0) m.x175 = Var(within=Reals,bounds=(0,None),initialize=0) m.x176 = Var(within=Reals,bounds=(0,None),initialize=0) m.x177 = Var(within=Reals,bounds=(0,None),initialize=0) m.x178 = Var(within=Reals,bounds=(0,None),initialize=0) m.x179 = Var(within=Reals,bounds=(0,None),initialize=0) m.x180 = Var(within=Reals,bounds=(0,None),initialize=0) m.x181 = Var(within=Reals,bounds=(0,None),initialize=0) m.x182 = Var(within=Reals,bounds=(0,None),initialize=0) m.x183 = Var(within=Reals,bounds=(0,None),initialize=0) m.x184 = Var(within=Reals,bounds=(0,None),initialize=0) m.x185 = Var(within=Reals,bounds=(0,None),initialize=0) m.x186 = Var(within=Reals,bounds=(0,None),initialize=0) m.x187 = Var(within=Reals,bounds=(0,None),initialize=0) m.x188 = Var(within=Reals,bounds=(0,None),initialize=0) m.x189 = Var(within=Reals,bounds=(0,None),initialize=0) m.x190 = Var(within=Reals,bounds=(0,None),initialize=0) m.x191 = Var(within=Reals,bounds=(0,None),initialize=0) m.x192 = Var(within=Reals,bounds=(0,None),initialize=0) m.x193 = Var(within=Reals,bounds=(0,None),initialize=0) m.x194 = Var(within=Reals,bounds=(0,None),initialize=0) m.x195 = Var(within=Reals,bounds=(0,None),initialize=0) m.x196 = Var(within=Reals,bounds=(0,None),initialize=0) m.x197 = Var(within=Reals,bounds=(0,None),initialize=0) m.x198 = Var(within=Reals,bounds=(0,None),initialize=0) m.x199 = Var(within=Reals,bounds=(0,None),initialize=0) m.x200 = Var(within=Reals,bounds=(0,None),initialize=0) m.x201 = Var(within=Reals,bounds=(0,None),initialize=0) m.x202 = Var(within=Reals,bounds=(0,None),initialize=0) m.x203 = Var(within=Reals,bounds=(0,None),initialize=0) m.x204 = Var(within=Reals,bounds=(0,None),initialize=0) m.x205 = Var(within=Reals,bounds=(0,None),initialize=0) m.x206 = Var(within=Reals,bounds=(0,None),initialize=0) m.x207 = Var(within=Reals,bounds=(0,None),initialize=0) m.x208 = Var(within=Reals,bounds=(0,None),initialize=0) m.x209 = Var(within=Reals,bounds=(0,None),initialize=0) m.x210 = Var(within=Reals,bounds=(0,None),initialize=0) m.x211 = Var(within=Reals,bounds=(0,None),initialize=0) m.x212 = Var(within=Reals,bounds=(0,None),initialize=0) m.x213 = Var(within=Reals,bounds=(0,None),initialize=0) m.x214 = Var(within=Reals,bounds=(0,None),initialize=0) m.x215 = Var(within=Reals,bounds=(0,None),initialize=0) m.x216 = Var(within=Reals,bounds=(0,None),initialize=0) m.x217 = Var(within=Reals,bounds=(0,None),initialize=0) m.x218 = Var(within=Reals,bounds=(0,None),initialize=0) m.x219 = Var(within=Reals,bounds=(0,None),initialize=0) m.x220 = Var(within=Reals,bounds=(0,None),initialize=0) m.x221 = Var(within=Reals,bounds=(0,None),initialize=0) m.x222 = Var(within=Reals,bounds=(0,None),initialize=0) m.x223 = Var(within=Reals,bounds=(0,None),initialize=0) m.x224 = Var(within=Reals,bounds=(0,None),initialize=0) m.x225 = Var(within=Reals,bounds=(0,None),initialize=0) m.x226 = Var(within=Reals,bounds=(0,None),initialize=0) m.x227 = Var(within=Reals,bounds=(0,None),initialize=0) m.x228 = Var(within=Reals,bounds=(0,None),initialize=0) m.x229 = Var(within=Reals,bounds=(0,None),initialize=0) m.x230 = Var(within=Reals,bounds=(0,None),initialize=0) m.x231 = Var(within=Reals,bounds=(0,None),initialize=0) m.x232 = Var(within=Reals,bounds=(0,None),initialize=0) m.x233 = Var(within=Reals,bounds=(0,None),initialize=0) m.x234 = Var(within=Reals,bounds=(0,None),initialize=0) m.x235 = Var(within=Reals,bounds=(0,None),initialize=0) m.x236 = Var(within=Reals,bounds=(0,None),initialize=0) m.x237 = Var(within=Reals,bounds=(0,None),initialize=0) m.x238 = Var(within=Reals,bounds=(0,None),initialize=0) m.x239 = Var(within=Reals,bounds=(0,None),initialize=0) m.x240 = Var(within=Reals,bounds=(0,None),initialize=0) m.x241 = Var(within=Reals,bounds=(0,None),initialize=0) m.x242 = Var(within=Reals,bounds=(0,None),initialize=0) m.x243 = Var(within=Reals,bounds=(0,None),initialize=0) m.x244 = Var(within=Reals,bounds=(0,None),initialize=0) m.x245 = Var(within=Reals,bounds=(0,None),initialize=0) m.x246 = Var(within=Reals,bounds=(0,None),initialize=0) m.x247 = Var(within=Reals,bounds=(0,None),initialize=0) m.x248 = Var(within=Reals,bounds=(0,None),initialize=0) m.x249 = Var(within=Reals,bounds=(0,None),initialize=0) m.x250 = Var(within=Reals,bounds=(0,None),initialize=0) m.x251 = Var(within=Reals,bounds=(0,None),initialize=0) m.x252 = Var(within=Reals,bounds=(0,None),initialize=0) m.x253 = Var(within=Reals,bounds=(0,None),initialize=0) m.x254 = Var(within=Reals,bounds=(0,None),initialize=0) m.x255 = Var(within=Reals,bounds=(0,None),initialize=0) m.x256 = Var(within=Reals,bounds=(0,None),initialize=0) m.x257 = Var(within=Reals,bounds=(0,None),initialize=0) m.x258 = Var(within=Reals,bounds=(0,None),initialize=0) m.x259 = Var(within=Reals,bounds=(0,None),initialize=0) m.x260 = Var(within=Reals,bounds=(0,None),initialize=0) m.x261 = Var(within=Reals,bounds=(0,None),initialize=0) m.x262 = Var(within=Reals,bounds=(0,None),initialize=0) m.x263 = Var(within=Reals,bounds=(0,None),initialize=0) m.x264 = Var(within=Reals,bounds=(0,None),initialize=0) m.x265 = Var(within=Reals,bounds=(0,None),initialize=0) m.x266 = Var(within=Reals,bounds=(0,None),initialize=0) m.x267 = Var(within=Reals,bounds=(0,None),initialize=0) m.x268 = Var(within=Reals,bounds=(0,None),initialize=0) m.x269 = Var(within=Reals,bounds=(0,None),initialize=0) m.x270 = Var(within=Reals,bounds=(0,None),initialize=0) m.x271 = Var(within=Reals,bounds=(0,None),initialize=0) m.x272 = Var(within=Reals,bounds=(0,None),initialize=0) m.x273 = Var(within=Reals,bounds=(0,None),initialize=0) m.x274 = Var(within=Reals,bounds=(0,None),initialize=0) m.x275 = Var(within=Reals,bounds=(0,None),initialize=0) m.x276 = Var(within=Reals,bounds=(0,None),initialize=0) m.x277 = Var(within=Reals,bounds=(0,None),initialize=0) m.x278 = Var(within=Reals,bounds=(0,None),initialize=0) m.x279 = Var(within=Reals,bounds=(0,None),initialize=0) m.x280 = Var(within=Reals,bounds=(0,None),initialize=0) m.x281 = Var(within=Reals,bounds=(0,None),initialize=0) m.x282 = Var(within=Reals,bounds=(0,None),initialize=0) m.x283 = Var(within=Reals,bounds=(0,None),initialize=0) m.x284 = Var(within=Reals,bounds=(0,None),initialize=0) m.x285 = Var(within=Reals,bounds=(0,None),initialize=0) m.x286 = Var(within=Reals,bounds=(0,None),initialize=0) m.x287 = Var(within=Reals,bounds=(0,None),initialize=0) m.x288 = Var(within=Reals,bounds=(0,None),initialize=0) m.x289 = Var(within=Reals,bounds=(0,None),initialize=0) m.x290 = Var(within=Reals,bounds=(0,None),initialize=0) m.x291 = Var(within=Reals,bounds=(0,None),initialize=0) m.x292 = Var(within=Reals,bounds=(0,None),initialize=0) m.x293 = Var(within=Reals,bounds=(0,None),initialize=0) m.x294 = Var(within=Reals,bounds=(0,None),initialize=0) m.x295 = Var(within=Reals,bounds=(0,None),initialize=0) m.x296 = Var(within=Reals,bounds=(0,None),initialize=0) m.x297 = Var(within=Reals,bounds=(0,None),initialize=0) m.x298 = Var(within=Reals,bounds=(0,None),initialize=0) m.x299 = Var(within=Reals,bounds=(0,None),initialize=0) m.x300 = Var(within=Reals,bounds=(0,None),initialize=0) m.x301 = Var(within=Reals,bounds=(0,None),initialize=0) m.x302 = Var(within=Reals,bounds=(0,None),initialize=0) m.x303 = Var(within=Reals,bounds=(0,None),initialize=0) m.x304 = Var(within=Reals,bounds=(0,None),initialize=0) m.x305 = Var(within=Reals,bounds=(0,None),initialize=0) m.x306 = Var(within=Reals,bounds=(0,None),initialize=0) m.x307 = Var(within=Reals,bounds=(0,None),initialize=0) m.x308 = Var(within=Reals,bounds=(0,None),initialize=0) m.x309 = Var(within=Reals,bounds=(0,None),initialize=0) m.x310 = Var(within=Reals,bounds=(0,None),initialize=0) m.x311 = Var(within=Reals,bounds=(0,None),initialize=0) m.x312 = Var(within=Reals,bounds=(0,None),initialize=0) m.x313 = Var(within=Reals,bounds=(0,None),initialize=0) m.x314 = Var(within=Reals,bounds=(0,None),initialize=0) m.x315 = Var(within=Reals,bounds=(0,None),initialize=0) m.x316 = Var(within=Reals,bounds=(0,None),initialize=0) m.x317 = Var(within=Reals,bounds=(0,None),initialize=0) m.x318 = Var(within=Reals,bounds=(0,None),initialize=0) m.x319 = Var(within=Reals,bounds=(0,None),initialize=0) m.x320 = Var(within=Reals,bounds=(0,None),initialize=0) m.x321 = Var(within=Reals,bounds=(0,None),initialize=0) m.x322 = Var(within=Reals,bounds=(0,None),initialize=0) m.x323 = Var(within=Reals,bounds=(0,None),initialize=0) m.x324 = Var(within=Reals,bounds=(0,None),initialize=0) m.x325 = Var(within=Reals,bounds=(0,None),initialize=0) m.x326 = Var(within=Reals,bounds=(0,None),initialize=0) m.x327 = Var(within=Reals,bounds=(0,None),initialize=0) m.x328 = Var(within=Reals,bounds=(0,None),initialize=0) m.x329 = Var(within=Reals,bounds=(0,None),initialize=0) m.x330 = Var(within=Reals,bounds=(0,None),initialize=0) m.x331 = Var(within=Reals,bounds=(0,None),initialize=0) m.x332 = Var(within=Reals,bounds=(0,None),initialize=0) m.x333 = Var(within=Reals,bounds=(0,None),initialize=0) m.x334 = Var(within=Reals,bounds=(0,None),initialize=0) m.x335 = Var(within=Reals,bounds=(0,None),initialize=0) m.x336 = Var(within=Reals,bounds=(0,None),initialize=0) m.x337 = Var(within=Reals,bounds=(0,None),initialize=0) m.x338 = Var(within=Reals,bounds=(0,None),initialize=0) m.x339 = Var(within=Reals,bounds=(0,None),initialize=0) m.x340 = Var(within=Reals,bounds=(0,None),initialize=0) m.x341 = Var(within=Reals,bounds=(0,None),initialize=0) m.x342 = Var(within=Reals,bounds=(0,None),initialize=0) m.x343 = Var(within=Reals,bounds=(0,None),initialize=0) m.x344 = Var(within=Reals,bounds=(0,None),initialize=0) m.x345 = Var(within=Reals,bounds=(0,None),initialize=0) m.x346 = Var(within=Reals,bounds=(0,None),initialize=0) m.x347 = Var(within=Reals,bounds=(0,None),initialize=0) m.x348 = Var(within=Reals,bounds=(0,None),initialize=0) m.x349 = Var(within=Reals,bounds=(0,None),initialize=0) m.x350 = Var(within=Reals,bounds=(0,None),initialize=0) m.x351 = Var(within=Reals,bounds=(0,None),initialize=0) m.x352 = Var(within=Reals,bounds=(0,None),initialize=0) m.x353 = Var(within=Reals,bounds=(0,None),initialize=0) m.x354 = Var(within=Reals,bounds=(0,None),initialize=0) m.x355 = Var(within=Reals,bounds=(0,None),initialize=0) m.x356 = Var(within=Reals,bounds=(0,None),initialize=0) m.x357 = Var(within=Reals,bounds=(0,None),initialize=0) m.x358 = Var(within=Reals,bounds=(0,None),initialize=0) m.x359 = Var(within=Reals,bounds=(0,None),initialize=0) m.x360 = Var(within=Reals,bounds=(0,None),initialize=0) m.x361 = Var(within=Reals,bounds=(0,None),initialize=0) m.x362 = Var(within=Reals,bounds=(0,None),initialize=0) m.x363 = Var(within=Reals,bounds=(0,None),initialize=0) m.x364 = Var(within=Reals,bounds=(0,None),initialize=0) m.x365 = Var(within=Reals,bounds=(0,None),initialize=0) m.x366 = Var(within=Reals,bounds=(0,None),initialize=0) m.x367 = Var(within=Reals,bounds=(0,None),initialize=0) m.x368 = Var(within=Reals,bounds=(0,None),initialize=0) m.x369 = Var(within=Reals,bounds=(0,None),initialize=0) m.x370 = Var(within=Reals,bounds=(0,None),initialize=0) m.x371 = Var(within=Reals,bounds=(0,None),initialize=0) m.x372 = Var(within=Reals,bounds=(0,None),initialize=0) m.x373 = Var(within=Reals,bounds=(0,None),initialize=0) m.x374 = Var(within=Reals,bounds=(0,None),initialize=0) m.x375 = Var(within=Reals,bounds=(0,None),initialize=0) m.x376 = Var(within=Reals,bounds=(0,None),initialize=0) m.x377 = Var(within=Reals,bounds=(0,None),initialize=0) m.x378 = Var(within=Reals,bounds=(0,None),initialize=0) m.x379 = Var(within=Reals,bounds=(0,None),initialize=0) m.x380 = Var(within=Reals,bounds=(0,None),initialize=0) m.x381 = Var(within=Reals,bounds=(0,None),initialize=0) m.x382 = Var(within=Reals,bounds=(0,None),initialize=0) m.x383 = Var(within=Reals,bounds=(0,None),initialize=0) m.x384 = Var(within=Reals,bounds=(0,None),initialize=0) m.x385 = Var(within=Reals,bounds=(0,None),initialize=0) m.x386 = Var(within=Reals,bounds=(0,None),initialize=0) m.x387 = Var(within=Reals,bounds=(0,None),initialize=0) m.x388 = Var(within=Reals,bounds=(0,None),initialize=0) m.x389 = Var(within=Reals,bounds=(0,None),initialize=0) m.x390 = Var(within=Reals,bounds=(0,None),initialize=0) m.x391 = Var(within=Reals,bounds=(0,None),initialize=0) m.x392 = Var(within=Reals,bounds=(0,None),initialize=0) m.x393 = Var(within=Reals,bounds=(0,None),initialize=0) m.x394 = Var(within=Reals,bounds=(0,None),initialize=0) m.x395 = Var(within=Reals,bounds=(0,None),initialize=0) m.x396 = Var(within=Reals,bounds=(0,None),initialize=0) m.x397 = Var(within=Reals,bounds=(0,None),initialize=0) m.x398 = Var(within=Reals,bounds=(0,None),initialize=0) m.x399 = Var(within=Reals,bounds=(0,None),initialize=0) m.x400 = Var(within=Reals,bounds=(0,None),initialize=0) m.x401 = Var(within=Reals,bounds=(0,None),initialize=0) m.x402 = Var(within=Reals,bounds=(0,None),initialize=0) m.x403 = Var(within=Reals,bounds=(0,None),initialize=0) m.x404 = Var(within=Reals,bounds=(0,None),initialize=0) m.x405 = Var(within=Reals,bounds=(0,None),initialize=0) m.x406 = Var(within=Reals,bounds=(0,None),initialize=0) m.x407 = Var(within=Reals,bounds=(0,None),initialize=0) m.x408 = Var(within=Reals,bounds=(0,None),initialize=0) m.x409 = Var(within=Reals,bounds=(0,None),initialize=0) m.x410 = Var(within=Reals,bounds=(0,None),initialize=0) m.x411 = Var(within=Reals,bounds=(0,None),initialize=0) m.x412 = Var(within=Reals,bounds=(0,None),initialize=0) m.x413 = Var(within=Reals,bounds=(0,None),initialize=0) m.x414 = Var(within=Reals,bounds=(0,None),initialize=0) m.x415 = Var(within=Reals,bounds=(0,None),initialize=0) m.x416 = Var(within=Reals,bounds=(0,None),initialize=0) m.x417 = Var(within=Reals,bounds=(0,None),initialize=0) m.x418 = Var(within=Reals,bounds=(0,None),initialize=0) m.x419 = Var(within=Reals,bounds=(0,None),initialize=0) m.x420 = Var(within=Reals,bounds=(0,None),initialize=0) m.x421 = Var(within=Reals,bounds=(0,None),initialize=0) m.x422 = Var(within=Reals,bounds=(0,None),initialize=0) m.x423 = Var(within=Reals,bounds=(0,None),initialize=0) m.x424 = Var(within=Reals,bounds=(0,None),initialize=0) m.x425 = Var(within=Reals,bounds=(0,None),initialize=0) m.x426 = Var(within=Reals,bounds=(0,None),initialize=0) m.x427 = Var(within=Reals,bounds=(0,None),initialize=0) m.x428 = Var(within=Reals,bounds=(0,None),initialize=0) m.x429 = Var(within=Reals,bounds=(0,None),initialize=0) m.x430 = Var(within=Reals,bounds=(0,None),initialize=0) m.x431 = Var(within=Reals,bounds=(0,None),initialize=0) m.x432 = Var(within=Reals,bounds=(0,None),initialize=0) m.x433 = Var(within=Reals,bounds=(0,None),initialize=0) m.x434 = Var(within=Reals,bounds=(0,None),initialize=0) m.x435 = Var(within=Reals,bounds=(0,None),initialize=0) m.x436 = Var(within=Reals,bounds=(0,None),initialize=0) m.x437 = Var(within=Reals,bounds=(0,None),initialize=0) m.x438 = Var(within=Reals,bounds=(0,None),initialize=0) m.x439 = Var(within=Reals,bounds=(0,None),initialize=0) m.x440 = Var(within=Reals,bounds=(0,None),initialize=0) m.x441 = Var(within=Reals,bounds=(0,None),initialize=0) m.x442 = Var(within=Reals,bounds=(0,None),initialize=0) m.x443 = Var(within=Reals,bounds=(0,None),initialize=0) m.x444 = Var(within=Reals,bounds=(0,None),initialize=0) m.x445 = Var(within=Reals,bounds=(0,None),initialize=0) m.x446 = Var(within=Reals,bounds=(0,None),initialize=0) m.x447 = Var(within=Reals,bounds=(0,None),initialize=0) m.x448 = Var(within=Reals,bounds=(0,None),initialize=0) m.x449 = Var(within=Reals,bounds=(0,None),initialize=0) m.x450 = Var(within=Reals,bounds=(0,None),initialize=0) m.x451 = Var(within=Reals,bounds=(0,None),initialize=0) m.x452 = Var(within=Reals,bounds=(0,None),initialize=0) m.x453 = Var(within=Reals,bounds=(0,None),initialize=0) m.x454 = Var(within=Reals,bounds=(0,None),initialize=0) m.x455 = Var(within=Reals,bounds=(0,None),initialize=0) m.x456 = Var(within=Reals,bounds=(0,None),initialize=0) m.x457 = Var(within=Reals,bounds=(0,None),initialize=0) m.x458 = Var(within=Reals,bounds=(0,None),initialize=0) m.x459 = Var(within=Reals,bounds=(0,None),initialize=0) m.x460 = Var(within=Reals,bounds=(0,None),initialize=0) m.x461 = Var(within=Reals,bounds=(0,None),initialize=0) m.x462 = Var(within=Reals,bounds=(0,None),initialize=0) m.x463 = Var(within=Reals,bounds=(0,None),initialize=0) m.x464 = Var(within=Reals,bounds=(0,None),initialize=0) m.x465 = Var(within=Reals,bounds=(0,None),initialize=0) m.x466 = Var(within=Reals,bounds=(0,None),initialize=0) m.x467 = Var(within=Reals,bounds=(0,None),initialize=0) m.x468 = Var(within=Reals,bounds=(0,None),initialize=0) m.x469 = Var(within=Reals,bounds=(0,None),initialize=0) m.b470 = Var(within=Binary,bounds=(0,1),initialize=0) m.b471 = Var(within=Binary,bounds=(0,1),initialize=0) m.b472 = Var(within=Binary,bounds=(0,1),initialize=0) m.b473 = Var(within=Binary,bounds=(0,1),initialize=0) m.b474 = Var(within=Binary,bounds=(0,1),initialize=0) m.b475 = Var(within=Binary,bounds=(0,1),initialize=0) m.b476 = Var(within=Binary,bounds=(0,1),initialize=0) m.b477 = Var(within=Binary,bounds=(0,1),initialize=0) m.b478 = Var(within=Binary,bounds=(0,1),initialize=0) m.b479 = Var(within=Binary,bounds=(0,1),initialize=0) m.b480 = Var(within=Binary,bounds=(0,1),initialize=0) m.b481 = Var(within=Binary,bounds=(0,1),initialize=0) m.b482 = Var(within=Binary,bounds=(0,1),initialize=0) m.b483 = Var(within=Binary,bounds=(0,1),initialize=0) m.b484 = Var(within=Binary,bounds=(0,1),initialize=0) m.b485 = Var(within=Binary,bounds=(0,1),initialize=0) m.b486 = Var(within=Binary,bounds=(0,1),initialize=0) m.b487 = Var(within=Binary,bounds=(0,1),initialize=0) m.b488 = Var(within=Binary,bounds=(0,1),initialize=0) m.b489 = Var(within=Binary,bounds=(0,1),initialize=0) m.b490 = Var(within=Binary,bounds=(0,1),initialize=0) m.b491 = Var(within=Binary,bounds=(0,1),initialize=0) m.b492 = Var(within=Binary,bounds=(0,1),initialize=0) m.b493 = Var(within=Binary,bounds=(0,1),initialize=0) m.b494 = Var(within=Binary,bounds=(0,1),initialize=0) m.b495 = Var(within=Binary,bounds=(0,1),initialize=0) m.b496 = Var(within=Binary,bounds=(0,1),initialize=0) m.b497 = Var(within=Binary,bounds=(0,1),initialize=0) m.b498 = Var(within=Binary,bounds=(0,1),initialize=0) m.b499 = Var(within=Binary,bounds=(0,1),initialize=0) m.b500 = Var(within=Binary,bounds=(0,1),initialize=0) m.b501 = Var(within=Binary,bounds=(0,1),initialize=0) m.b502 = Var(within=Binary,bounds=(0,1),initialize=0) m.b503 = Var(within=Binary,bounds=(0,1),initialize=0) m.b504 = Var(within=Binary,bounds=(0,1),initialize=0) m.b505 = Var(within=Binary,bounds=(0,1),initialize=0) m.b506 = Var(within=Binary,bounds=(0,1),initialize=0) m.b507 = Var(within=Binary,bounds=(0,1),initialize=0) m.b508 = Var(within=Binary,bounds=(0,1),initialize=0) m.b509 = Var(within=Binary,bounds=(0,1),initialize=0) m.b510 = Var(within=Binary,bounds=(0,1),initialize=0) m.b511 = Var(within=Binary,bounds=(0,1),initialize=0) m.b512 = Var(within=Binary,bounds=(0,1),initialize=0) m.b513 = Var(within=Binary,bounds=(0,1),initialize=0) m.b514 = Var(within=Binary,bounds=(0,1),initialize=0) m.b515 = Var(within=Binary,bounds=(0,1),initialize=0) m.b516 = Var(within=Binary,bounds=(0,1),initialize=0) m.b517 = Var(within=Binary,bounds=(0,1),initialize=0) m.b518 = Var(within=Binary,bounds=(0,1),initialize=0) m.b519 = Var(within=Binary,bounds=(0,1),initialize=0) m.b520 = Var(within=Binary,bounds=(0,1),initialize=0) m.b521 = Var(within=Binary,bounds=(0,1),initialize=0) m.b522 = Var(within=Binary,bounds=(0,1),initialize=0) m.b523 = Var(within=Binary,bounds=(0,1),initialize=0) m.b524 = Var(within=Binary,bounds=(0,1),initialize=0) m.b525 = Var(within=Binary,bounds=(0,1),initialize=0) m.b526 = Var(within=Binary,bounds=(0,1),initialize=0) m.b527 = Var(within=Binary,bounds=(0,1),initialize=0) m.b528 = Var(within=Binary,bounds=(0,1),initialize=0) m.b529 = Var(within=Binary,bounds=(0,1),initialize=0) m.b530 = Var(within=Binary,bounds=(0,1),initialize=0) m.b531 = Var(within=Binary,bounds=(0,1),initialize=0) m.b532 = Var(within=Binary,bounds=(0,1),initialize=0) m.b533 = Var(within=Binary,bounds=(0,1),initialize=0) m.b534 = Var(within=Binary,bounds=(0,1),initialize=0) m.b535 = Var(within=Binary,bounds=(0,1),initialize=0) m.b536 = Var(within=Binary,bounds=(0,1),initialize=0) m.b537 = Var(within=Binary,bounds=(0,1),initialize=0) m.b538 = Var(within=Binary,bounds=(0,1),initialize=0) m.b539 = Var(within=Binary,bounds=(0,1),initialize=0) m.b540 = Var(within=Binary,bounds=(0,1),initialize=0) m.b541 = Var(within=Binary,bounds=(0,1),initialize=0) m.b542 = Var(within=Binary,bounds=(0,1),initialize=0) m.b543 = Var(within=Binary,bounds=(0,1),initialize=0) m.b544 = Var(within=Binary,bounds=(0,1),initialize=0) m.b545 = Var(within=Binary,bounds=(0,1),initialize=0) m.b546 = Var(within=Binary,bounds=(0,1),initialize=0) m.b547 = Var(within=Binary,bounds=(0,1),initialize=0) m.b548 = Var(within=Binary,bounds=(0,1),initialize=0) m.b549 = Var(within=Binary,bounds=(0,1),initialize=0) m.b550 = Var(within=Binary,bounds=(0,1),initialize=0) m.b551 = Var(within=Binary,bounds=(0,1),initialize=0) m.b552 = Var(within=Binary,bounds=(0,1),initialize=0) m.b553 = Var(within=Binary,bounds=(0,1),initialize=0) m.b554 = Var(within=Binary,bounds=(0,1),initialize=0) m.b555 = Var(within=Binary,bounds=(0,1),initialize=0) m.b556 = Var(within=Binary,bounds=(0,1),initialize=0) m.b557 = Var(within=Binary,bounds=(0,1),initialize=0) m.b558 = Var(within=Binary,bounds=(0,1),initialize=0) m.b559 = Var(within=Binary,bounds=(0,1),initialize=0) m.b560 = Var(within=Binary,bounds=(0,1),initialize=0) m.b561 = Var(within=Binary,bounds=(0,1),initialize=0) m.b562 = Var(within=Binary,bounds=(0,1),initialize=0) m.b563 = Var(within=Binary,bounds=(0,1),initialize=0) m.b564 = Var(within=Binary,bounds=(0,1),initialize=0) m.b565 = Var(within=Binary,bounds=(0,1),initialize=0) m.b566 = Var(within=Binary,bounds=(0,1),initialize=0) m.b567 = Var(within=Binary,bounds=(0,1),initialize=0) m.b568 = Var(within=Binary,bounds=(0,1),initialize=0) m.b569 = Var(within=Binary,bounds=(0,1),initialize=0) m.b570 = Var(within=Binary,bounds=(0,1),initialize=0) m.b571 = Var(within=Binary,bounds=(0,1),initialize=0) m.b572 = Var(within=Binary,bounds=(0,1),initialize=0) m.b573 = Var(within=Binary,bounds=(0,1),initialize=0) m.b574 = Var(within=Binary,bounds=(0,1),initialize=0) m.b575 = Var(within=Binary,bounds=(0,1),initialize=0) m.b576 = Var(within=Binary,bounds=(0,1),initialize=0) m.b577 = Var(within=Binary,bounds=(0,1),initialize=0) m.b578 = Var(within=Binary,bounds=(0,1),initialize=0) m.b579 = Var(within=Binary,bounds=(0,1),initialize=0) m.b580 = Var(within=Binary,bounds=(0,1),initialize=0) m.b581 = Var(within=Binary,bounds=(0,1),initialize=0) m.b582 = Var(within=Binary,bounds=(0,1),initialize=0) m.b583 = Var(within=Binary,bounds=(0,1),initialize=0) m.b584 = Var(within=Binary,bounds=(0,1),initialize=0) m.b585 = Var(within=Binary,bounds=(0,1),initialize=0) m.b586 = Var(within=Binary,bounds=(0,1),initialize=0) m.b587 = Var(within=Binary,bounds=(0,1),initialize=0) m.b588 = Var(within=Binary,bounds=(0,1),initialize=0) m.b589 = Var(within=Binary,bounds=(0,1),initialize=0) m.b590 = Var(within=Binary,bounds=(0,1),initialize=0) m.b591 = Var(within=Binary,bounds=(0,1),initialize=0) m.b592 = Var(within=Binary,bounds=(0,1),initialize=0) m.b593 = Var(within=Binary,bounds=(0,1),initialize=0) m.b594 = Var(within=Binary,bounds=(0,1),initialize=0) m.b595 = Var(within=Binary,bounds=(0,1),initialize=0) m.b596 = Var(within=Binary,bounds=(0,1),initialize=0) m.b597 = Var(within=Binary,bounds=(0,1),initialize=0) m.x598 = Var(within=Reals,bounds=(0,40),initialize=0) m.x599 = Var(within=Reals,bounds=(0,40),initialize=0) m.x600 = Var(within=Reals,bounds=(0,None),initialize=0) m.x601 = Var(within=Reals,bounds=(0,None),initialize=0) m.x602 = Var(within=Reals,bounds=(0,None),initialize=0) m.x603 = Var(within=Reals,bounds=(0,None),initialize=0) m.x604 = Var(within=Reals,bounds=(0,None),initialize=0) m.x605 = Var(within=Reals,bounds=(0,None),initialize=0) m.x606 = Var(within=Reals,bounds=(0,None),initialize=0) m.x607 = Var(within=Reals,bounds=(0,None),initialize=0) m.x608 = Var(within=Reals,bounds=(0,None),initialize=0) m.x609 = Var(within=Reals,bounds=(0,None),initialize=0) m.x610 = Var(within=Reals,bounds=(0,None),initialize=0) m.x611 = Var(within=Reals,bounds=(0,None),initialize=0) m.x612 = Var(within=Reals,bounds=(0,None),initialize=0) m.x613 = Var(within=Reals,bounds=(0,None),initialize=0) m.x614 = Var(within=Reals,bounds=(0,None),initialize=0) m.x615 = Var(within=Reals,bounds=(0,None),initialize=0) m.x616 = Var(within=Reals,bounds=(0,None),initialize=0) m.x617 = Var(within=Reals,bounds=(0,None),initialize=0) m.x618 = Var(within=Reals,bounds=(0,None),initialize=0) m.x619 = Var(within=Reals,bounds=(0,None),initialize=0) m.x620 = Var(within=Reals,bounds=(0,30),initialize=0) m.x621 = Var(within=Reals,bounds=(0,30),initialize=0) m.x622 = Var(within=Reals,bounds=(0,None),initialize=0) m.x623 = Var(within=Reals,bounds=(0,None),initialize=0) m.x624 = Var(within=Reals,bounds=(0,None),initialize=0) m.x625 = Var(within=Reals,bounds=(0,None),initialize=0) m.x626 = Var(within=Reals,bounds=(0,None),initialize=0) m.x627 = Var(within=Reals,bounds=(0,None),initialize=0) m.x628 = Var(within=Reals,bounds=(0,None),initialize=0) m.x629 = Var(within=Reals,bounds=(0,None),initialize=0) m.x630 = Var(within=Reals,bounds=(0,None),initialize=0) m.x631 = Var(within=Reals,bounds=(0,None),initialize=0) m.x632 = Var(within=Reals,bounds=(0,None),initialize=0) m.x633 = Var(within=Reals,bounds=(0,None),initialize=0) m.x634 = Var(within=Reals,bounds=(0,None),initialize=0) m.x635 = Var(within=Reals,bounds=(0,None),initialize=0) m.x636 = Var(within=Reals,bounds=(0,None),initialize=0) m.x637 = Var(within=Reals,bounds=(0,None),initialize=0) m.x638 = Var(within=Reals,bounds=(0,None),initialize=0) m.x639 = Var(within=Reals,bounds=(0,None),initialize=0) m.x640 = Var(within=Reals,bounds=(0,None),initialize=0) m.x641 = Var(within=Reals,bounds=(0,None),initialize=0) m.x642 = Var(within=Reals,bounds=(0,None),initialize=0) m.x643 = Var(within=Reals,bounds=(0,None),initialize=0) m.x644 = Var(within=Reals,bounds=(0,None),initialize=0) m.x645 = Var(within=Reals,bounds=(0,None),initialize=0) m.x646 = Var(within=Reals,bounds=(0,None),initialize=0) m.x647 = Var(within=Reals,bounds=(0,None),initialize=0) m.x648 = Var(within=Reals,bounds=(0,None),initialize=0) m.x649 = Var(within=Reals,bounds=(0,None),initialize=0) m.x650 = Var(within=Reals,bounds=(0,None),initialize=0) m.x651 = Var(within=Reals,bounds=(0,None),initialize=0) m.x652 = Var(within=Reals,bounds=(0,None),initialize=0) m.x653 = Var(within=Reals,bounds=(0,None),initialize=0) m.x654 = Var(within=Reals,bounds=(0,20),initialize=0) m.x655 = Var(within=Reals,bounds=(0,20),initialize=0) m.x656 = Var(within=Reals,bounds=(0,20),initialize=0) m.x657 = Var(within=Reals,bounds=(0,20),initialize=0) m.x658 = Var(within=Reals,bounds=(0,None),initialize=0) m.x659 = Var(within=Reals,bounds=(0,None),initialize=0) m.x660 = Var(within=Reals,bounds=(0,None),initialize=0) m.x661 = Var(within=Reals,bounds=(0,None),initialize=0) m.x662 = Var(within=Reals,bounds=(0,None),initialize=0) m.x663 = Var(within=Reals,bounds=(0,None),initialize=0) m.x664 = Var(within=Reals,bounds=(0,None),initialize=0) m.x665 = Var(within=Reals,bounds=(0,None),initialize=0) m.x666 = Var(within=Reals,bounds=(0,None),initialize=0) m.x667 = Var(within=Reals,bounds=(0,None),initialize=0) m.x668 = Var(within=Reals,bounds=(0,None),initialize=0) m.x669 = Var(within=Reals,bounds=(0,None),initialize=0) m.x670 = Var(within=Reals,bounds=(0,None),initialize=0) m.x671 = Var(within=Reals,bounds=(0,None),initialize=0) m.x672 = Var(within=Reals,bounds=(0,None),initialize=0) m.x673 = Var(within=Reals,bounds=(0,None),initialize=0) m.x674 = Var(within=Reals,bounds=(0,None),initialize=0) m.x675 = Var(within=Reals,bounds=(0,None),initialize=0) m.x676 = Var(within=Reals,bounds=(0,None),initialize=0) m.x677 = Var(within=Reals,bounds=(0,None),initialize=0) m.x678 = Var(within=Reals,bounds=(0,None),initialize=0) m.x679 = Var(within=Reals,bounds=(0,None),initialize=0) m.x680 = Var(within=Reals,bounds=(0,None),initialize=0) m.x681 = Var(within=Reals,bounds=(0,None),initialize=0) m.x682 = Var(within=Reals,bounds=(0,None),initialize=0) m.x683 = Var(within=Reals,bounds=(0,None),initialize=0) m.x684 = Var(within=Reals,bounds=(0,None),initialize=0) m.x685 = Var(within=Reals,bounds=(0,None),initialize=0) m.x686 = Var(within=Reals,bounds=(0,None),initialize=0) m.x687 = Var(within=Reals,bounds=(0,None),initialize=0) m.x688 = Var(within=Reals,bounds=(0,None),initialize=0) m.x689 = Var(within=Reals,bounds=(0,None),initialize=0) m.x690 = Var(within=Reals,bounds=(0,None),initialize=0) m.x691 = Var(within=Reals,bounds=(0,None),initialize=0) m.x692 = Var(within=Reals,bounds=(0,None),initialize=0) m.x693 = Var(within=Reals,bounds=(0,None),initialize=0) m.x694 = Var(within=Reals,bounds=(0,None),initialize=0) m.x695 = Var(within=Reals,bounds=(0,None),initialize=0) m.x696 = Var(within=Reals,bounds=(0,None),initialize=0) m.x697 = Var(within=Reals,bounds=(0,None),initialize=0) m.x698 = Var(within=Reals,bounds=(0,None),initialize=0) m.x699 = Var(within=Reals,bounds=(0,None),initialize=0) m.x700 = Var(within=Reals,bounds=(0,None),initialize=0) m.x701 = Var(within=Reals,bounds=(0,None),initialize=0) m.x702 = Var(within=Reals,bounds=(0,None),initialize=0) m.x703 = Var(within=Reals,bounds=(0,None),initialize=0) m.x704 = Var(within=Reals,bounds=(0,None),initialize=0) m.x705 = Var(within=Reals,bounds=(0,None),initialize=0) m.x706 = Var(within=Reals,bounds=(0,None),initialize=0) m.x707 = Var(within=Reals,bounds=(0,None),initialize=0) m.x708 = Var(within=Reals,bounds=(0,None),initialize=0) m.x709 = Var(within=Reals,bounds=(0,None),initialize=0) m.x710 = Var(within=Reals,bounds=(0,30),initialize=0) m.x711 = Var(within=Reals,bounds=(0,30),initialize=0) m.x712 = Var(within=Reals,bounds=(0,None),initialize=0) m.x713 = Var(within=Reals,bounds=(0,None),initialize=0) m.x714 = Var(within=Reals,bounds=(0,None),initialize=0) m.x715 = Var(within=Reals,bounds=(0,None),initialize=0) m.x716 = Var(within=Reals,bounds=(0,None),initialize=0) m.x717 = Var(within=Reals,bounds=(0,None),initialize=0) m.x718 = Var(within=Reals,bounds=(0,None),initialize=0) m.x719 = Var(within=Reals,bounds=(0,None),initialize=0) m.x720 = Var(within=Reals,bounds=(0,None),initialize=0) m.x721 = Var(within=Reals,bounds=(0,None),initialize=0) m.x722 = Var(within=Reals,bounds=(0,None),initialize=0) m.x723 = Var(within=Reals,bounds=(0,None),initialize=0) m.x724 = Var(within=Reals,bounds=(0,None),initialize=0) m.x725 = Var(within=Reals,bounds=(0,None),initialize=0) m.x726 = Var(within=Reals,bounds=(0,None),initialize=0) m.x727 = Var(within=Reals,bounds=(0,None),initialize=0) m.x728 = Var(within=Reals,bounds=(0,None),initialize=0) m.x729 = Var(within=Reals,bounds=(0,None),initialize=0) m.x730 = Var(within=Reals,bounds=(0,None),initialize=0) m.x731 = Var(within=Reals,bounds=(0,None),initialize=0) m.x732 = Var(within=Reals,bounds=(0,None),initialize=0) m.x733 = Var(within=Reals,bounds=(0,None),initialize=0) m.x734 = Var(within=Reals,bounds=(0,None),initialize=0) m.x735 = Var(within=Reals,bounds=(0,None),initialize=0) m.x736 = Var(within=Reals,bounds=(0,None),initialize=0) m.x737 = Var(within=Reals,bounds=(0,None),initialize=0) m.x738 = Var(within=Reals,bounds=(0,None),initialize=0) m.x739 = Var(within=Reals,bounds=(0,None),initialize=0) m.x740 = Var(within=Reals,bounds=(0,None),initialize=0) m.x741 = Var(within=Reals,bounds=(0,None),initialize=0) m.x742 = Var(within=Reals,bounds=(0,None),initialize=0) m.x743 = Var(within=Reals,bounds=(0,None),initialize=0) m.x744 = Var(within=Reals,bounds=(0,None),initialize=0) m.x745 = Var(within=Reals,bounds=(0,None),initialize=0) m.x746 = Var(within=Reals,bounds=(0,None),initialize=0) m.x747 = Var(within=Reals,bounds=(0,None),initialize=0) m.x748 = Var(within=Reals,bounds=(0,None),initialize=0) m.x749 = Var(within=Reals,bounds=(0,None),initialize=0) m.x750 = Var(within=Reals,bounds=(0,None),initialize=0) m.x751 = Var(within=Reals,bounds=(0,None),initialize=0) m.x752 = Var(within=Reals,bounds=(0,None),initialize=0) m.x753 = Var(within=Reals,bounds=(0,None),initialize=0) m.x754 = Var(within=Reals,bounds=(0,None),initialize=0) m.x755 = Var(within=Reals,bounds=(0,None),initialize=0) m.x756 = Var(within=Reals,bounds=(0,None),initialize=0) m.x757 = Var(within=Reals,bounds=(0,None),initialize=0) m.x758 = Var(within=Reals,bounds=(0,None),initialize=0) m.x759 = Var(within=Reals,bounds=(0,None),initialize=0) m.x760 = Var(within=Reals,bounds=(0,None),initialize=0) m.x761 = Var(within=Reals,bounds=(0,None),initialize=0) m.x762 = Var(within=Reals,bounds=(0,None),initialize=0) m.x763 = Var(within=Reals,bounds=(0,None),initialize=0) m.x764 = Var(within=Reals,bounds=(0,None),initialize=0) m.x765 = Var(within=Reals,bounds=(0,None),initialize=0) m.x766 = Var(within=Reals,bounds=(0,None),initialize=0) m.x767 = Var(within=Reals,bounds=(0,None),initialize=0) m.x768 = Var(within=Reals,bounds=(0,None),initialize=0) m.x769 = Var(within=Reals,bounds=(0,None),initialize=0) m.x770 = Var(within=Reals,bounds=(0,None),initialize=0) m.x771 = Var(within=Reals,bounds=(0,None),initialize=0) m.x772 = Var(within=Reals,bounds=(0,None),initialize=0) m.x773 = Var(within=Reals,bounds=(0,None),initialize=0) m.x774 = Var(within=Reals,bounds=(0,None),initialize=0) m.x775 = Var(within=Reals,bounds=(0,None),initialize=0) m.x776 = Var(within=Reals,bounds=(0,None),initialize=0) m.x777 = Var(within=Reals,bounds=(0,None),initialize=0) m.x778 = Var(within=Reals,bounds=(0,None),initialize=0) m.x779 = Var(within=Reals,bounds=(0,None),initialize=0) m.x780 = Var(within=Reals,bounds=(0,None),initialize=0) m.x781 = Var(within=Reals,bounds=(0,None),initialize=0) m.x782 = Var(within=Reals,bounds=(0,None),initialize=0) m.x783 = Var(within=Reals,bounds=(0,None),initialize=0) m.x784 = Var(within=Reals,bounds=(0,None),initialize=0) m.x785 = Var(within=Reals,bounds=(0,None),initialize=0) m.x786 = Var(within=Reals,bounds=(0,None),initialize=0) m.x787 = Var(within=Reals,bounds=(0,None),initialize=0) m.x788 = Var(within=Reals,bounds=(0,None),initialize=0) m.x789 = Var(within=Reals,bounds=(0,None),initialize=0) m.x790 = Var(within=Reals,bounds=(0,None),initialize=0) m.x791 = Var(within=Reals,bounds=(0,None),initialize=0) m.x792 = Var(within=Reals,bounds=(0,None),initialize=0) m.x793 = Var(within=Reals,bounds=(0,None),initialize=0) m.x794 = Var(within=Reals,bounds=(0,None),initialize=0) m.x795 = Var(within=Reals,bounds=(0,None),initialize=0) m.x796 = Var(within=Reals,bounds=(0,None),initialize=0) m.x797 = Var(within=Reals,bounds=(0,None),initialize=0) m.x798 = Var(within=Reals,bounds=(0,None),initialize=0) m.x799 = Var(within=Reals,bounds=(0,None),initialize=0) m.x800 = Var(within=Reals,bounds=(0,None),initialize=0) m.x801 = Var(within=Reals,bounds=(0,None),initialize=0) m.x802 = Var(within=Reals,bounds=(0,None),initialize=0) m.x803 = Var(within=Reals,bounds=(0,None),initialize=0) m.x804 = Var(within=Reals,bounds=(0,None),initialize=0) m.x805 = Var(within=Reals,bounds=(0,None),initialize=0) m.x806 = Var(within=Reals,bounds=(0,None),initialize=0) m.x807 = Var(within=Reals,bounds=(0,None),initialize=0) m.x808 = Var(within=Reals,bounds=(0,None),initialize=0) m.x809 = Var(within=Reals,bounds=(0,None),initialize=0) m.x810 = Var(within=Reals,bounds=(0,None),initialize=0) m.x811 = Var(within=Reals,bounds=(0,None),initialize=0) m.x812 = Var(within=Reals,bounds=(0,None),initialize=0) m.x813 = Var(within=Reals,bounds=(0,None),initialize=0) m.x814 = Var(within=Reals,bounds=(0,None),initialize=0) m.x815 = Var(within=Reals,bounds=(0,None),initialize=0) m.x816 = Var(within=Reals,bounds=(0,None),initialize=0) m.x817 = Var(within=Reals,bounds=(0,None),initialize=0) m.x818 = Var(within=Reals,bounds=(0,None),initialize=0) m.x819 = Var(within=Reals,bounds=(0,None),initialize=0) m.x820 = Var(within=Reals,bounds=(0,None),initialize=0) m.x821 = Var(within=Reals,bounds=(0,None),initialize=0) m.x822 = Var(within=Reals,bounds=(0,None),initialize=0) m.x823 = Var(within=Reals,bounds=(0,None),initialize=0) m.x824 = Var(within=Reals,bounds=(0,None),initialize=0) m.x825 = Var(within=Reals,bounds=(0,None),initialize=0) m.x826 = Var(within=Reals,bounds=(0,None),initialize=0) m.x827 = Var(within=Reals,bounds=(0,None),initialize=0) m.x828 = Var(within=Reals,bounds=(0,None),initialize=0) m.x829 = Var(within=Reals,bounds=(0,None),initialize=0) m.x830 = Var(within=Reals,bounds=(0,None),initialize=0) m.x831 = Var(within=Reals,bounds=(0,None),initialize=0) m.x832 = Var(within=Reals,bounds=(0,None),initialize=0) m.x833 = Var(within=Reals,bounds=(0,None),initialize=0) m.x834 = Var(within=Reals,bounds=(0,None),initialize=0) m.x835 = Var(within=Reals,bounds=(0,None),initialize=0) m.x836 = Var(within=Reals,bounds=(0,None),initialize=0) m.x837 = Var(within=Reals,bounds=(0,None),initialize=0) m.x838 = Var(within=Reals,bounds=(0,None),initialize=0) m.x839 = Var(within=Reals,bounds=(0,None),initialize=0) m.x840 = Var(within=Reals,bounds=(0,None),initialize=0) m.x841 = Var(within=Reals,bounds=(0,None),initialize=0) m.x842 = Var(within=Reals,bounds=(0,None),initialize=0) m.x843 = Var(within=Reals,bounds=(0,None),initialize=0) m.x844 = Var(within=Reals,bounds=(0,None),initialize=0) m.x845 = Var(within=Reals,bounds=(0,None),initialize=0) m.x846 = Var(within=Reals,bounds=(0,None),initialize=0) m.x847 = Var(within=Reals,bounds=(0,None),initialize=0) m.x848 = Var(within=Reals,bounds=(0,None),initialize=0) m.x849 = Var(within=Reals,bounds=(0,None),initialize=0) m.x850 = Var(within=Reals,bounds=(0,None),initialize=0) m.x851 = Var(within=Reals,bounds=(0,None),initialize=0) m.x852 = Var(within=Reals,bounds=(0,None),initialize=0) m.x853 = Var(within=Reals,bounds=(0,None),initialize=0) m.x854 = Var(within=Reals,bounds=(0,None),initialize=0) m.x855 = Var(within=Reals,bounds=(0,None),initialize=0) m.x856 = Var(within=Reals,bounds=(0,None),initialize=0) m.x857 = Var(within=Reals,bounds=(0,None),initialize=0) m.x858 = Var(within=Reals,bounds=(0,None),initialize=0) m.x859 = Var(within=Reals,bounds=(0,None),initialize=0) m.x860 = Var(within=Reals,bounds=(0,None),initialize=0) m.x861 = Var(within=Reals,bounds=(0,None),initialize=0) m.x862 = Var(within=Reals,bounds=(0,None),initialize=0) m.x863 = Var(within=Reals,bounds=(0,None),initialize=0) m.x864 = Var(within=Reals,bounds=(0,None),initialize=0) m.x865 = Var(within=Reals,bounds=(0,None),initialize=0) m.x866 = Var(within=Reals,bounds=(0,None),initialize=0) m.x867 = Var(within=Reals,bounds=(0,None),initialize=0) m.x868 = Var(within=Reals,bounds=(0,None),initialize=0) m.x869 = Var(within=Reals,bounds=(0,None),initialize=0) m.x870 = Var(within=Reals,bounds=(0,None),initialize=0) m.x871 = Var(within=Reals,bounds=(0,None),initialize=0) m.x872 = Var(within=Reals,bounds=(0,None),initialize=0) m.x873 = Var(within=Reals,bounds=(0,None),initialize=0) m.x874 = Var(within=Reals,bounds=(0,None),initialize=0) m.x875 = Var(within=Reals,bounds=(0,None),initialize=0) m.x876 = Var(within=Reals,bounds=(0,None),initialize=0) m.x877 = Var(within=Reals,bounds=(0,None),initialize=0) m.x878 = Var(within=Reals,bounds=(0,None),initialize=0) m.x879 = Var(within=Reals,bounds=(0,None),initialize=0) m.x880 = Var(within=Reals,bounds=(0,None),initialize=0) m.x881 = Var(within=Reals,bounds=(0,None),initialize=0) m.x882 = Var(within=Reals,bounds=(0,None),initialize=0) m.x883 = Var(within=Reals,bounds=(0,None),initialize=0) m.x884 = Var(within=Reals,bounds=(0,None),initialize=0) m.x885 = Var(within=Reals,bounds=(0,None),initialize=0) m.x886 = Var(within=Reals,bounds=(0,None),initialize=0) m.x887 = Var(within=Reals,bounds=(0,None),initialize=0) m.x888 = Var(within=Reals,bounds=(0,None),initialize=0) m.x889 = Var(within=Reals,bounds=(0,None),initialize=0) m.x890 = Var(within=Reals,bounds=(0,None),initialize=0) m.x891 = Var(within=Reals,bounds=(0,None),initialize=0) m.x892 = Var(within=Reals,bounds=(0,None),initialize=0) m.x893 = Var(within=Reals,bounds=(0,None),initialize=0) m.x894 = Var(within=Reals,bounds=(0,None),initialize=0) m.x895 = Var(within=Reals,bounds=(0,None),initialize=0) m.x896 = Var(within=Reals,bounds=(0,None),initialize=0) m.x897 = Var(within=Reals,bounds=(0,None),initialize=0) m.x898 = Var(within=Reals,bounds=(0,None),initialize=0) m.x899 = Var(within=Reals,bounds=(0,None),initialize=0) m.x900 = Var(within=Reals,bounds=(0,None),initialize=0) m.x901 = Var(within=Reals,bounds=(0,None),initialize=0) m.x902 = Var(within=Reals,bounds=(0,None),initialize=0) m.x903 = Var(within=Reals,bounds=(0,None),initialize=0) m.x904 = Var(within=Reals,bounds=(0,None),initialize=0) m.x905 = Var(within=Reals,bounds=(0,None),initialize=0) m.x906 = Var(within=Reals,bounds=(0,None),initialize=0) m.x907 = Var(within=Reals,bounds=(0,None),initialize=0) m.x908 = Var(within=Reals,bounds=(0,None),initialize=0) m.x909 = Var(within=Reals,bounds=(0,None),initialize=0) m.x910 = Var(within=Reals,bounds=(0,None),initialize=0) m.x911 = Var(within=Reals,bounds=(0,None),initialize=0) m.x912 = Var(within=Reals,bounds=(0,None),initialize=0) m.x913 = Var(within=Reals,bounds=(0,None),initialize=0) m.x914 = Var(within=Reals,bounds=(0,None),initialize=0) m.x915 = Var(within=Reals,bounds=(0,None),initialize=0) m.x916 = Var(within=Reals,bounds=(0,None),initialize=0) m.x917 = Var(within=Reals,bounds=(0,None),initialize=0) m.x918 = Var(within=Reals,bounds=(0,None),initialize=0) m.x919 = Var(within=Reals,bounds=(0,None),initialize=0) m.x920 = Var(within=Reals,bounds=(0,None),initialize=0) m.x921 = Var(within=Reals,bounds=(0,None),initialize=0) m.x922 = Var(within=Reals,bounds=(0,None),initialize=0) m.x923 = Var(within=Reals,bounds=(0,None),initialize=0) m.x924 = Var(within=Reals,bounds=(0,None),initialize=0) m.x925 = Var(within=Reals,bounds=(0,None),initialize=0) m.x926 = Var(within=Reals,bounds=(0,None),initialize=0) m.x927 = Var(within=Reals,bounds=(0,None),initialize=0) m.x928 = Var(within=Reals,bounds=(0,None),initialize=0) m.x929 = Var(within=Reals,bounds=(0,None),initialize=0) m.x930 = Var(within=Reals,bounds=(0,None),initialize=0) m.x931 = Var(within=Reals,bounds=(0,None),initialize=0) m.x932 = Var(within=Reals,bounds=(0,None),initialize=0) m.x933 = Var(within=Reals,bounds=(0,None),initialize=0) m.x934 = Var(within=Reals,bounds=(0,None),initialize=0) m.x935 = Var(within=Reals,bounds=(0,None),initialize=0) m.x936 = Var(within=Reals,bounds=(0,None),initialize=0) m.x937 = Var(within=Reals,bounds=(0,None),initialize=0) m.x938 = Var(within=Reals,bounds=(0,None),initialize=0) m.x939 = Var(within=Reals,bounds=(0,None),initialize=0) m.x940 = Var(within=Reals,bounds=(0,None),initialize=0) m.x941 = Var(within=Reals,bounds=(0,None),initialize=0) m.x942 = Var(within=Reals,bounds=(0,None),initialize=0) m.x943 = Var(within=Reals,bounds=(0,None),initialize=0) m.x944 = Var(within=Reals,bounds=(0,None),initialize=0) m.x945 = Var(within=Reals,bounds=(0,None),initialize=0) m.x946 = Var(within=Reals,bounds=(0,None),initialize=0) m.x947 = Var(within=Reals,bounds=(0,None),initialize=0) m.x948 = Var(within=Reals,bounds=(0,None),initialize=0) m.x949 = Var(within=Reals,bounds=(0,None),initialize=0) m.x950 = Var(within=Reals,bounds=(0,None),initialize=0) m.x951 = Var(within=Reals,bounds=(0,None),initialize=0) m.x952 = Var(within=Reals,bounds=(0,None),initialize=0) m.x953 = Var(within=Reals,bounds=(0,None),initialize=0) m.x954 = Var(within=Reals,bounds=(0,None),initialize=0) m.x955 = Var(within=Reals,bounds=(0,None),initialize=0) m.x956 = Var(within=Reals,bounds=(0,None),initialize=0) m.x957 = Var(within=Reals,bounds=(0,None),initialize=0) m.x958 = Var(within=Reals,bounds=(0,None),initialize=0) m.x959 = Var(within=Reals,bounds=(0,None),initialize=0) m.x960 = Var(within=Reals,bounds=(0,None),initialize=0) m.x961 = Var(within=Reals,bounds=(0,None),initialize=0) m.x962 = Var(within=Reals,bounds=(0,None),initialize=0) m.x963 = Var(within=Reals,bounds=(0,None),initialize=0) m.x964 = Var(within=Reals,bounds=(0,None),initialize=0) m.x965 = Var(within=Reals,bounds=(0,None),initialize=0) m.x966 = Var(within=Reals,bounds=(0,None),initialize=0) m.x967 = Var(within=Reals,bounds=(0,None),initialize=0) m.x968 = Var(within=Reals,bounds=(0,None),initialize=0) m.x969 = Var(within=Reals,bounds=(0,None),initialize=0) m.x970 = Var(within=Reals,bounds=(0,None),initialize=0) m.x971 = Var(within=Reals,bounds=(0,None),initialize=0) m.x972 = Var(within=Reals,bounds=(0,None),initialize=0) m.x973 = Var(within=Reals,bounds=(0,None),initialize=0) m.x974 = Var(within=Reals,bounds=(0,None),initialize=0) m.x975 = Var(within=Reals,bounds=(0,None),initialize=0) m.x976 = Var(within=Reals,bounds=(0,None),initialize=0) m.x977 = Var(within=Reals,bounds=(0,None),initialize=0) m.x978 = Var(within=Reals,bounds=(0,None),initialize=0) m.x979 = Var(within=Reals,bounds=(0,None),initialize=0) m.x980 = Var(within=Reals,bounds=(0,None),initialize=0) m.x981 = Var(within=Reals,bounds=(0,None),initialize=0) m.x982 = Var(within=Reals,bounds=(0,None),initialize=0) m.x983 = Var(within=Reals,bounds=(0,None),initialize=0) m.x984 = Var(within=Reals,bounds=(0,None),initialize=0) m.x985 = Var(within=Reals,bounds=(0,None),initialize=0) m.x986 = Var(within=Reals,bounds=(0,None),initialize=0) m.x987 = Var(within=Reals,bounds=(0,None),initialize=0) m.x988 = Var(within=Reals,bounds=(0,None),initialize=0) m.x989 = Var(within=Reals,bounds=(0,None),initialize=0) m.x990 = Var(within=Reals,bounds=(0,None),initialize=0) m.x991 = Var(within=Reals,bounds=(0,None),initialize=0) m.x992 = Var(within=Reals,bounds=(0,None),initialize=0) m.x993 = Var(within=Reals,bounds=(0,None),initialize=0) m.b994 = Var(within=Binary,bounds=(0,1),initialize=0) m.b995 = Var(within=Binary,bounds=(0,1),initialize=0) m.b996 = Var(within=Binary,bounds=(0,1),initialize=0) m.b997 = Var(within=Binary,bounds=(0,1),initialize=0) m.b998 = Var(within=Binary,bounds=(0,1),initialize=0) m.b999 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1000 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1001 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1002 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1003 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1004 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1005 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1006 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1007 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1008 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1009 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1010 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1011 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1012 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1013 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1014 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1015 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1016 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1017 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1018 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1019 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1020 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1021 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1022 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1023 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1024 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1025 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1026 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1027 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1028 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1029 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1030 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1031 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1032 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1033 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1034 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1035 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1036 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1037 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1038 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1039 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1040 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1041 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1042 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1043 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1044 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1045 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1046 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1047 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1048 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1049 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1050 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1051 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1052 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1053 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1054 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1055 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1056 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1057 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1058 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1059 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1060 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1061 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1062 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1063 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1064 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1065 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1066 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1067 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1068 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1069 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1070 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1071 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1072 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1073 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1074 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1075 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1076 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1077 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1078 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1079 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1080 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1081 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1082 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1083 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1084 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1085 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1086 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1087 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1088 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1089 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1090 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1091 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1092 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1093 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1094 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1095 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1096 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1097 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1098 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1099 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1100 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1101 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1102 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1103 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1104 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1105 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1106 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1107 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1108 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1109 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1110 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1111 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1112 = Var(within=Binary,bounds=(0,1),initialize=0) m.b1113 = Var(within=Binary,bounds=(0,1),initialize=0) m.x1114 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1115 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1116 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1117 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1118 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1119 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1120 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1121 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1122 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1123 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1124 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1125 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1126 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1127 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1128 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1129 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1130 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1131 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1132 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1133 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1134 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1135 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1136 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1137 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1138 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1139 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1140 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1141 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1142 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1143 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1144 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1145 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1146 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1147 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1148 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1149 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1150 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1151 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1152 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1153 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1154 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1155 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1156 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1157 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1158 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1159 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1160 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1161 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1162 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1163 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1164 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1165 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1166 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1167 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1168 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1169 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1170 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1171 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1172 = Var(within=Reals,bounds=(None,None),initialize=0) m.x1173 = Var(within=Reals,bounds=(None,None),initialize=0) m.obj = Objective(expr= - 20*m.x2 - 17*m.x3 - 20*m.x12 - 21*m.x13 - 18*m.x20 - 20*m.x21 - 16*m.x44 - 19*m.x45 + 26*m.x52 + 31*m.x53 + 30*m.x56 + 29*m.x57 - 20*m.x58 - 18*m.x59 + 2*m.x64 + 2*m.x65 + 3*m.x66 + 2*m.x67 + 3*m.x68 + 3*m.x69 + 2*m.x70 + 2*m.x71 - 6*m.b536 - 4*m.b537 - 40*m.b538 - 35*m.b539 - 46*m.b540 - 39*m.b541 - 7*m.b544 - 4*m.b545 - 30*m.b546 - 25*m.b547 - 37*m.b548 - 29*m.b549 - 7*m.b552 - 5*m.b553 - 15*m.b554 - 5*m.b555 - 22*m.b556 - 10*m.b557 - 11*m.b560 - 8*m.b561 - 13*m.b562 - 8*m.b563 - 24*m.b564 - 16*m.b565 - 10*m.b568 - 7*m.b569 - 13*m.b570 - 8*m.b571 - 23*m.b572 - 15*m.b573 - 9*m.b576 - 9*m.b577 - 30*m.b578 - 30*m.b579 - 39*m.b580 - 39*m.b581 - 8*m.b584 - 7*m.b585 - 20*m.b586 - 15*m.b587 - 28*m.b588 - 22*m.b589 - 8*m.b592 - 6*m.b593 - 15*m.b594 - 10*m.b595 - 23*m.b596 - 16*m.b597 - m.x598 - m.x599 + 5*m.x610 + 10*m.x611 - 2*m.x620 - m.x621 - 10*m.x654 - 5*m.x655 - 5*m.x656 - 5*m.x657 + 40*m.x670 + 30*m.x671 + 15*m.x672 + 20*m.x673 + 10*m.x674 + 30*m.x675 + 30*m.x676 + 20*m.x677 + 35*m.x678 + 50*m.x679 + 20*m.x680 + 30*m.x681 + 25*m.x682 + 50*m.x683 + 15*m.x684 + 20*m.x685 + 30*m.x700 + 40*m.x701 - m.x710 - m.x711 + 80*m.x726 + 90*m.x727 + 285*m.x728 + 390*m.x729 + 290*m.x730 + 405*m.x731 + 280*m.x732 + 400*m.x733 + 290*m.x734 + 300*m.x735 + 350*m.x736 + 250*m.x737 - 5*m.b1054 - 4*m.b1055 - 8*m.b1056 - 7*m.b1057 - 6*m.b1058 - 9*m.b1059 - 10*m.b1060 - 9*m.b1061 - 6*m.b1062 - 10*m.b1063 - 7*m.b1064 - 7*m.b1065 - 4*m.b1066 - 3*m.b1067 - 5*m.b1068 - 6*m.b1069 - 2*m.b1070 - 5*m.b1071 - 4*m.b1072 - 7*m.b1073 - 3*m.b1074 - 9*m.b1075 - 7*m.b1076 - 2*m.b1077 - 3*m.b1078 - m.b1079 - 2*m.b1080 - 6*m.b1081 - 4*m.b1082 - 8*m.b1083 - 2*m.b1084 - 5*m.b1085 - 3*m.b1086 - 4*m.b1087 - 5*m.b1088 - 7*m.b1089 - 2*m.b1090 - 8*m.b1091 - m.b1092 - 4*m.b1093 - 2*m.b1094 - 5*m.b1095 - 9*m.b1096 - 2*m.b1097 - 5*m.b1098 - 8*m.b1099 - 2*m.b1100 - 3*m.b1101 - 10*m.b1102 - 6*m.b1103 - 4*m.b1104 - 8*m.b1105 - 7*m.b1106 - 3*m.b1107 - 4*m.b1108 - 8*m.b1109 - 2*m.b1110 - m.b1111 - 8*m.b1112 - 3*m.b1113, sense=maximize) m.c2 = Constraint(expr= m.x2 - 0.2*m.x72 == 0) m.c3 = Constraint(expr= m.x3 - 0.2*m.x73 == 0) m.c4 = Constraint(expr= m.x4 - 0.2*m.x74 == 0) m.c5 = Constraint(expr= m.x5 - 0.2*m.x75 == 0) m.c6 = Constraint(expr= m.x6 - 0.2*m.x76 == 0) m.c7 = Constraint(expr= m.x7 - 0.2*m.x77 == 0) m.c8 = Constraint(expr= m.x8 - 0.2*m.x78 == 0) m.c9 = Constraint(expr= m.x9 - 0.2*m.x79 == 0) m.c10 = Constraint(expr= m.x10 - 0.2*m.x80 == 0) m.c11 = Constraint(expr= m.x11 - 0.2*m.x81 == 0) m.c12 = Constraint(expr= m.x12 - 0.5*m.x82 == 0) m.c13 = Constraint(expr= m.x13 - 0.5*m.x83 == 0) m.c14 = Constraint(expr= m.x14 - 0.5*m.x84 == 0) m.c15 = Constraint(expr= m.x15 - 0.5*m.x85 == 0) m.c16 = Constraint(expr= m.x16 - 0.7*m.x86 == 0) m.c17 = Constraint(expr= m.x17 - 0.7*m.x87 == 0) m.c18 = Constraint(expr= m.x18 - 0.7*m.x88 == 0) m.c19 = Constraint(expr= m.x19 - 0.7*m.x89 == 0) m.c20 = Constraint(expr= m.x20 - 1.2*m.x90 == 0) m.c21 = Constraint(expr= m.x21 - 1.2*m.x91 == 0) m.c22 = Constraint(expr= m.x22 - 1.2*m.x92 == 0) m.c23 = Constraint(expr= m.x23 - 1.2*m.x93 == 0) m.c24 = Constraint(expr= m.x24 - 0.5*m.x94 == 0) m.c25 = Constraint(expr= m.x25 - 0.5*m.x95 == 0) m.c26 = Constraint(expr= m.x26 - 0.7*m.x96 == 0) m.c27 = Constraint(expr= m.x27 - 0.7*m.x97 == 0) m.c28 = Constraint(expr= m.x28 - 1.2*m.x98 == 0) m.c29 = Constraint(expr= m.x29 - 1.2*m.x99 == 0) m.c30 = Constraint(expr= m.x30 - 1.2*m.x100 == 0) m.c31 = Constraint(expr= m.x31 - 1.2*m.x101 == 0) m.c32 = Constraint(expr= m.x32 - 1.2*m.x102 == 0) m.c33 = Constraint(expr= m.x33 - 1.2*m.x103 == 0) m.c34 = Constraint(expr= m.x34 - 1.2*m.x104 == 0) m.c35 = Constraint(expr= m.x35 - 1.2*m.x105 == 0) m.c36 = Constraint(expr= m.x36 - 0.3*m.x106 == 0) m.c37 = Constraint(expr= m.x37 - 0.3*m.x107 == 0) m.c38 = Constraint(expr= m.x38 - 0.9*m.x108 == 0) m.c39 = Constraint(expr= m.x39 - 0.9*m.x109 == 0) m.c40 = Constraint(expr= m.x40 - 0.3*m.x110 == 0) m.c41 = Constraint(expr= m.x41 - 0.3*m.x111 == 0) m.c42 = Constraint(expr= m.x42 - 0.9*m.x112 == 0) m.c43 = Constraint(expr= m.x43 - 0.9*m.x113 == 0) m.c44 = Constraint(expr= m.x44 - 0.4*m.x114 == 0) m.c45 = Constraint(expr= m.x45 - 0.4*m.x115 == 0) m.c46 = Constraint(expr= m.x46 - 0.4*m.x116 == 0) m.c47 = Constraint(expr= m.x47 - 0.4*m.x117 == 0) m.c48 = Constraint(expr= m.x48 - 0.4*m.x118 == 0) m.c49 = Constraint(expr= m.x49 - 0.4*m.x119 == 0) m.c50 = Constraint(expr= m.x50 - 1.6*m.x120 == 0) m.c51 = Constraint(expr= m.x51 - 1.6*m.x121 == 0) m.c52 = Constraint(expr= m.x52 - 1.6*m.x122 == 0) m.c53 = Constraint(expr= m.x53 - 1.6*m.x123 == 0) m.c54 = Constraint(expr= m.x54 - 1.1*m.x124 == 0) m.c55 = Constraint(expr= m.x55 - 1.1*m.x125 == 0) m.c56 = Constraint(expr= m.x56 - 1.1*m.x126 == 0) m.c57 = Constraint(expr= m.x57 - 1.1*m.x127 == 0) m.c58 = Constraint(expr= m.x58 - 0.7*m.x128 == 0) m.c59 = Constraint(expr= m.x59 - 0.7*m.x129 == 0) m.c60 = Constraint(expr= m.x60 - 0.7*m.x130 == 0) m.c61 = Constraint(expr= m.x61 - 0.7*m.x131 == 0) m.c62 = Constraint(expr= m.x62 - 0.7*m.x132 == 0) m.c63 = Constraint(expr= m.x63 - 0.7*m.x133 == 0) m.c64 = Constraint(expr= m.x64 - 0.2*m.x134 == 0) m.c65 = Constraint(expr= m.x65 - 0.2*m.x135 == 0) m.c66 = Constraint(expr= m.x66 - 0.7*m.x136 == 0) m.c67 = Constraint(expr= m.x67 - 0.7*m.x137 == 0) m.c68 = Constraint(expr= m.x68 - 0.3*m.x138 == 0) m.c69 = Constraint(expr= m.x69 - 0.3*m.x139 == 0) m.c70 = Constraint(expr= m.x70 - 0.9*m.x140 == 0) m.c71 = Constraint(expr= m.x71 - 0.9*m.x141 == 0) m.c72 = Constraint(expr= m.x52 >= 1.2) m.c73 = Constraint(expr= m.x53 >= 1.15) m.c74 = Constraint(expr= m.x56 >= 1.2) m.c75 = Constraint(expr= m.x57 >= 1.15) m.c76 = Constraint(expr= m.x64 >= 1.1) m.c77 = Constraint(expr= m.x65 >= 1.1) m.c78 = Constraint(expr= m.x66 >= 1.1) m.c79 = Constraint(expr= m.x67 >= 1.1) m.c80 = Constraint(expr= m.x68 >= 1.4) m.c81 = Constraint(expr= m.x69 >= 1.3) m.c82 = Constraint(expr= m.x70 >= 1.3) m.c83 = Constraint(expr= m.x71 >= 1.2) m.c84 = Constraint(expr= m.x2 <= 55) m.c85 = Constraint(expr= m.x3 <= 40) m.c86 = Constraint(expr= m.x12 <= 46) m.c87 = Constraint(expr= m.x13 <= 41) m.c88 = Constraint(expr= m.x20 <= 45) m.c89 = Constraint(expr= m.x21 <= 62) m.c90 = Constraint(expr= m.x44 <= 54) m.c91 = Constraint(expr= m.x45 <= 51) m.c92 = Constraint(expr= m.x58 <= 40) m.c93 = Constraint(expr= m.x59 <= 45) m.c94 = Constraint(expr= m.x2 - m.x4 - m.x6 == 0) m.c95 = Constraint(expr= m.x3 - m.x5 - m.x7 == 0) m.c96 = Constraint(expr= m.x8 - m.x10 == 0) m.c97 = Constraint(expr= m.x9 - m.x11 == 0) m.c98 = Constraint(expr= m.x12 - m.x14 + m.x24 == 0) m.c99 = Constraint(expr= m.x13 - m.x15 + m.x25 == 0) m.c100 = Constraint(expr= m.x16 - m.x18 + m.x26 == 0) m.c101 = Constraint(expr= m.x17 - m.x19 + m.x27 == 0) m.c102 = Constraint(expr= m.x20 - m.x22 - m.x28 == 0) m.c103 = Constraint(expr= m.x21 - m.x23 - m.x29 == 0) m.c104 = Constraint(expr= m.x30 - m.x32 - m.x34 == 0) m.c105 = Constraint(expr= m.x31 - m.x33 - m.x35 == 0) m.c106 = Constraint(expr= m.x36 - m.x40 == 0) m.c107 = Constraint(expr= m.x37 - m.x41 == 0) m.c108 = Constraint(expr= m.x38 - m.x42 == 0) m.c109 = Constraint(expr= m.x39 - m.x43 == 0) m.c110 = Constraint(expr= m.x44 - m.x46 - m.x48 == 0) m.c111 = Constraint(expr= m.x45 - m.x47 - m.x49 == 0) m.c112 = Constraint(expr= m.x50 - m.x52 == 0) m.c113 = Constraint(expr= m.x51 - m.x53 == 0) m.c114 = Constraint(expr= m.x54 - m.x56 == 0) m.c115 = Constraint(expr= m.x55 - m.x57 == 0) m.c116 = Constraint(expr= m.x58 - m.x60 == 0) m.c117 = Constraint(expr= m.x59 - m.x61 == 0) m.c118 = Constraint(expr= m.x4 - m.x8 - m.x142 == 0) m.c119 = Constraint(expr= m.x5 - m.x9 - m.x143 == 0) m.c120 = Constraint(expr= m.x6 + m.x14 - m.x16 - m.x144 == 0) m.c121 = Constraint(expr= m.x7 + m.x15 - m.x17 - m.x145 == 0) m.c122 = Constraint(expr= m.x22 - m.x24 - m.x26 - m.x146 == 0) m.c123 = Constraint(expr= m.x23 - m.x25 - m.x27 - m.x147 == 0) m.c124 = Constraint(expr= m.x28 - m.x30 - m.x148 == 0) m.c125 = Constraint(expr= m.x29 - m.x31 - m.x149 == 0) m.c126 = Constraint(expr= m.x34 - m.x36 - m.x38 - m.x150 == 0) m.c127 = Constraint(expr= m.x35 - m.x37 - m.x39 - m.x151 == 0) m.c128 = Constraint(expr= m.x32 + m.x46 - m.x50 - m.x152 == 0) m.c129 = Constraint(expr= m.x33 + m.x47 - m.x51 - m.x153 == 0) m.c130 = Constraint(expr= m.x48 - m.x54 + m.x62 - m.x154 == 0) m.c131 = Constraint(expr= m.x49 - m.x55 + m.x63 - m.x155 == 0) m.c132 = Constraint(expr= m.x60 - m.x62 - m.x156 == 0) m.c133 = Constraint(expr= m.x61 - m.x63 - m.x157 == 0) m.c134 = Constraint(expr= m.x76 - m.x84 <= 0) m.c135 = Constraint(expr= m.x77 - m.x85 <= 0) m.c136 = Constraint(expr= m.x102 - m.x116 <= 0) m.c137 = Constraint(expr= m.x103 - m.x117 <= 0) m.c138 = Constraint(expr= m.x118 - m.x132 <= 0) m.c139 = Constraint(expr= m.x119 - m.x133 <= 0) m.c140 = Constraint(expr= m.x78 - m.x278 - m.x280 - m.x282 - m.x284 == 0) m.c141 = Constraint(expr= m.x79 - m.x279 - m.x281 - m.x283 - m.x285 == 0) m.c142 = Constraint(expr= m.x74 - m.x262 - m.x264 - m.x266 - m.x268 == 0) m.c143 = Constraint(expr= m.x75 - m.x263 - m.x265 - m.x267 - m.x269 == 0) m.c144 = Constraint(expr= m.x86 - m.x286 - m.x288 - m.x290 - m.x292 == 0) m.c145 = Constraint(expr= m.x87 - m.x287 - m.x289 - m.x291 - m.x293 == 0) m.c146 = Constraint(expr= m.x76 - m.x270 - m.x272 - m.x274 - m.x276 == 0) m.c147 = Constraint(expr= m.x77 - m.x271 - m.x273 - m.x275 - m.x277 == 0) m.c148 = Constraint(expr= m.x94 - m.x302 - m.x304 - m.x306 - m.x308 == 0) m.c149 = Constraint(expr= m.x95 - m.x303 - m.x305 - m.x307 - m.x309 == 0) m.c150 = Constraint(expr= m.x96 - m.x310 - m.x312 - m.x314 - m.x316 == 0) m.c151 = Constraint(expr= m.x97 - m.x311 - m.x313 - m.x315 - m.x317 == 0) m.c152 = Constraint(expr= m.x92 - m.x294 - m.x296 - m.x298 - m.x300 == 0) m.c153 = Constraint(expr= m.x93 - m.x295 - m.x297 - m.x299 - m.x301 == 0) m.c154 = Constraint(expr= m.x100 - m.x326 - m.x328 - m.x330 - m.x332 == 0) m.c155 = Constraint(expr= m.x101 - m.x327 - m.x329 - m.x331 - m.x333 == 0) m.c156 = Constraint(expr= m.x98 - m.x318 - m.x320 - m.x322 - m.x324 == 0) m.c157 = Constraint(expr= m.x99 - m.x319 - m.x321 - m.x323 - m.x325 == 0) m.c158 = Constraint(expr= m.x106 - m.x350 - m.x352 - m.x354 - m.x356 == 0) m.c159 = Constraint(expr= m.x107 - m.x351 - m.x353 - m.x355 - m.x357 == 0) m.c160 = Constraint(expr= m.x108 - m.x358 - m.x360 - m.x362 - m.x364 == 0) m.c161 = Constraint(expr= m.x109 - m.x359 - m.x361 - m.x363 - m.x365 == 0) m.c162 = Constraint(expr= m.x104 - m.x342 - m.x344 - m.x346 - m.x348 == 0) m.c163 = Constraint(expr= m.x105 - m.x343 - m.x345 - m.x347 - m.x349 == 0) m.c164 = Constraint(expr= m.x120 - m.x374 - m.x376 - m.x378 - m.x380 == 0) m.c165 = Constraint(expr= m.x121 - m.x375 - m.x377 - m.x379 - m.x381 == 0) m.c166 = Constraint(expr= m.x102 - m.x334 - m.x336 - m.x338 - m.x340 == 0) m.c167 = Constraint(expr= m.x103 - m.x335 - m.x337 - m.x339 - m.x341 == 0) m.c168 = Constraint(expr= m.x124 - m.x382 - m.x384 - m.x386 - m.x388 == 0) m.c169 = Constraint(expr= m.x125 - m.x383 - m.x385 - m.x387 - m.x389 == 0) m.c170 = Constraint(expr= m.x118 - m.x366 - m.x368 - m.x370 - m.x372 == 0) m.c171 = Constraint(expr= m.x119 - m.x367 - m.x369 - m.x371 - m.x373 == 0) m.c172 = Constraint(expr= m.x132 - m.x398 - m.x400 - m.x402 - m.x404 == 0) m.c173 = Constraint(expr= m.x133 - m.x399 - m.x401 - m.x403 - m.x405 == 0) m.c174 = Constraint(expr= m.x130 - m.x390 - m.x392 - m.x394 - m.x396 == 0) m.c175 = Constraint(expr= m.x131 - m.x391 - m.x393 - m.x395 - m.x397 == 0) m.c176 = Constraint(expr= m.x278 - 233.75*m.b470 <= 0) m.c177 = Constraint(expr= m.x279 - 170*m.b471 <= 0) m.c178 = Constraint(expr= m.x280 - 233.75*m.b472 <= 0) m.c179 = Constraint(expr= m.x281 - 170*m.b473 <= 0) m.c180 = Constraint(expr= m.x282 - 233.75*m.b474 <= 0) m.c181 = Constraint(expr= m.x283 - 170*m.b475 <= 0) m.c182 = Constraint(expr= m.x284 - 233.75*m.b476 <= 0) m.c183 = Constraint(expr= m.x285 - 170*m.b477 <= 0) m.c184 = Constraint(expr= m.x286 - 383.5625*m.b478 <= 0) m.c185 = Constraint(expr= m.x287 - 316.001666666667*m.b479 <= 0) m.c186 = Constraint(expr= m.x288 - 383.5625*m.b480 <= 0) m.c187 = Constraint(expr= m.x289 - 316.001666666667*m.b481 <= 0) m.c188 = Constraint(expr= m.x290 - 383.5625*m.b482 <= 0) m.c189 = Constraint(expr= m.x291 - 316.001666666667*m.b483 <= 0) m.c190 = Constraint(expr= m.x292 - 383.5625*m.b484 <= 0) m.c191 = Constraint(expr= m.x293 - 316.001666666667*m.b485 <= 0) m.c192 = Constraint(expr= m.x302 - 36.75*m.b486 <= 0) m.c193 = Constraint(expr= m.x303 - 50.6333333333333*m.b487 <= 0) m.c194 = Constraint(expr= m.x304 - 36.75*m.b488 <= 0) m.c195 = Constraint(expr= m.x305 - 50.6333333333333*m.b489 <= 0) m.c196 = Constraint(expr= m.x306 - 36.75*m.b490 <= 0) m.c197 = Constraint(expr= m.x307 - 50.6333333333333*m.b491 <= 0) m.c198 = Constraint(expr= m.x308 - 36.75*m.b492 <= 0) m.c199 = Constraint(expr= m.x309 - 50.6333333333333*m.b493 <= 0) m.c200 = Constraint(expr= m.x310 - 36.75*m.b486 <= 0) m.c201 = Constraint(expr= m.x311 - 50.6333333333333*m.b487 <= 0) m.c202 = Constraint(expr= m.x312 - 36.75*m.b488 <= 0) m.c203 = Constraint(expr= m.x313 - 50.6333333333333*m.b489 <= 0) m.c204 = Constraint(expr= m.x314 - 36.75*m.b490 <= 0) m.c205 = Constraint(expr= m.x315 - 50.6333333333333*m.b491 <= 0) m.c206 = Constraint(expr= m.x316 - 36.75*m.b492 <= 0) m.c207 = Constraint(expr= m.x317 - 50.6333333333333*m.b493 <= 0) m.c208 = Constraint(expr= m.x326 - 33.75*m.b494 <= 0) m.c209 = Constraint(expr= m.x327 - 46.5*m.b495 <= 0) m.c210 = Constraint(expr= m.x328 - 33.75*m.b496 <= 0) m.c211 = Constraint(expr= m.x329 - 46.5*m.b497 <= 0) m.c212 = Constraint(expr= m.x330 - 33.75*m.b498 <= 0) m.c213 = Constraint(expr= m.x331 - 46.5*m.b499 <= 0) m.c214 = Constraint(expr= m.x332 - 33.75*m.b500 <= 0) m.c215 = Constraint(expr= m.x333 - 46.5*m.b501 <= 0) m.c216 = Constraint(expr= m.x350 - 32.0625*m.b502 <= 0) m.c217 = Constraint(expr= m.x351 - 44.175*m.b503 <= 0) m.c218 = Constraint(expr= m.x352 - 32.0625*m.b504 <= 0) m.c219 = Constraint(expr= m.x353 - 44.175*m.b505 <= 0) m.c220 = Constraint(expr= m.x354 - 32.0625*m.b506 <= 0) m.c221 = Constraint(expr= m.x355 - 44.175*m.b507 <= 0) m.c222 = Constraint(expr= m.x356 - 32.0625*m.b508 <= 0) m.c223 = Constraint(expr= m.x357 - 44.175*m.b509 <= 0) m.c224 = Constraint(expr= m.x358 - 32.0625*m.b502 <= 0) m.c225 = Constraint(expr= m.x359 - 44.175*m.b503 <= 0) m.c226 = Constraint(expr= m.x360 - 32.0625*m.b504 <= 0) m.c227 = Constraint(expr= m.x361 - 44.175*m.b505 <= 0) m.c228 = Constraint(expr= m.x362 - 32.0625*m.b506 <= 0) m.c229 = Constraint(expr= m.x363 - 44.175*m.b507 <= 0) m.c230 = Constraint(expr= m.x364 - 32.0625*m.b508 <= 0) m.c231 = Constraint(expr= m.x365 - 44.175*m.b509 <= 0) m.c232 = Constraint(expr= m.x374 - 143.4375*m.b510 <= 0) m.c233 = Constraint(expr= m.x375 - 147.9*m.b511 <= 0) m.c234 = Constraint(expr= m.x376 - 143.4375*m.b512 <= 0) m.c235 = Constraint(expr= m.x377 - 147.9*m.b513 <= 0) m.c236 = Constraint(expr= m.x378 - 143.4375*m.b514 <= 0) m.c237 = Constraint(expr= m.x379 - 147.9*m.b515 <= 0) m.c238 = Constraint(expr= m.x380 - 143.4375*m.b516 <= 0) m.c239 = Constraint(expr= m.x381 - 147.9*m.b517 <= 0) m.c240 = Constraint(expr= m.x382 - 178.192857142857*m.b518 <= 0) m.c241 = Constraint(expr= m.x383 - 177.310714285714*m.b519 <= 0) m.c242 = Constraint(expr= m.x384 - 178.192857142857*m.b520 <= 0) m.c243 = Constraint(expr= m.x385 - 177.310714285714*m.b521 <= 0) m.c244 = Constraint(expr= m.x386 - 178.192857142857*m.b522 <= 0) m.c245 = Constraint(expr= m.x387 - 177.310714285714*m.b523 <= 0) m.c246 = Constraint(expr= m.x388 - 178.192857142857*m.b524 <= 0) m.c247 = Constraint(expr= m.x389 - 177.310714285714*m.b525 <= 0) m.c248 = Constraint(expr= m.x398 - 52.5714285714286*m.b526 <= 0) m.c249 = Constraint(expr= m.x399 - 59.1428571428572*m.b527 <= 0) m.c250 = Constraint(expr= m.x400 - 52.5714285714286*m.b528 <= 0) m.c251 = Constraint(expr= m.x401 - 59.1428571428572*m.b529 <= 0) m.c252 = Constraint(expr= m.x402 - 52.5714285714286*m.b530 <= 0) m.c253 = Constraint(expr= m.x403 - 59.1428571428572*m.b531 <= 0) m.c254 = Constraint(expr= m.x404 - 52.5714285714286*m.b532 <= 0) m.c255 = Constraint(expr= m.x405 - 59.1428571428572*m.b533 <= 0) m.c256 = Constraint(expr= m.x262 - 275*m.b470 <= 0) m.c257 = Constraint(expr= m.x263 - 200*m.b471 <= 0) m.c258 = Constraint(expr= m.x264 - 275*m.b472 <= 0) m.c259 = Constraint(expr= m.x265 - 200*m.b473 <= 0) m.c260 = Constraint(expr= m.x266 - 275*m.b474 <= 0) m.c261 = Constraint(expr= m.x267 - 200*m.b475 <= 0) m.c262 = Constraint(expr= m.x268 - 275*m.b476 <= 0) m.c263 = Constraint(expr= m.x269 - 200*m.b477 <= 0) m.c264 = Constraint(expr= m.x270 - 275*m.b478 <= 0) m.c265 = Constraint(expr= m.x271 - 200*m.b479 <= 0) m.c266 = Constraint(expr= m.x272 - 275*m.b480 <= 0) m.c267 = Constraint(expr= m.x273 - 200*m.b481 <= 0) m.c268 = Constraint(expr= m.x274 - 275*m.b482 <= 0) m.c269 = Constraint(expr= m.x275 - 200*m.b483 <= 0) m.c270 = Constraint(expr= m.x276 - 275*m.b484 <= 0) m.c271 = Constraint(expr= m.x277 - 200*m.b485 <= 0) m.c272 = Constraint(expr= m.x294 - 37.5*m.b486 <= 0) m.c273 = Constraint(expr= m.x295 - 51.6666666666667*m.b487 <= 0) m.c274 = Constraint(expr= m.x296 - 37.5*m.b488 <= 0) m.c275 = Constraint(expr= m.x297 - 51.6666666666667*m.b489 <= 0) m.c276 = Constraint(expr= m.x298 - 37.5*m.b490 <= 0) m.c277 = Constraint(expr= m.x299 - 51.6666666666667*m.b491 <= 0) m.c278 = Constraint(expr= m.x300 - 37.5*m.b492 <= 0) m.c279 = Constraint(expr= m.x301 - 51.6666666666667*m.b493 <= 0) m.c280 = Constraint(expr= m.x318 - 37.5*m.b494 <= 0) m.c281 = Constraint(expr= m.x319 - 51.6666666666667*m.b495 <= 0) m.c282 = Constraint(expr= m.x320 - 37.5*m.b496 <= 0) m.c283 = Constraint(expr= m.x321 - 51.6666666666667*m.b497 <= 0) m.c284 = Constraint(expr= m.x322 - 37.5*m.b498 <= 0) m.c285 = Constraint(expr= m.x323 - 51.6666666666667*m.b499 <= 0) m.c286 = Constraint(expr= m.x324 - 37.5*m.b500 <= 0) m.c287 = Constraint(expr= m.x325 - 51.6666666666667*m.b501 <= 0) m.c288 = Constraint(expr= m.x342 - 33.75*m.b502 <= 0) m.c289 = Constraint(expr= m.x343 - 46.5*m.b503 <= 0) m.c290 = Constraint(expr= m.x344 - 33.75*m.b504 <= 0) m.c291 = Constraint(expr= m.x345 - 46.5*m.b505 <= 0) m.c292 = Constraint(expr= m.x346 - 33.75*m.b506 <= 0) m.c293 = Constraint(expr= m.x347 - 46.5*m.b507 <= 0) m.c294 = Constraint(expr= m.x348 - 33.75*m.b508 <= 0) m.c295 = Constraint(expr= m.x349 - 46.5*m.b509 <= 0) m.c296 = Constraint(expr= m.x334 - 33.75*m.b510 <= 0) m.c297 = Constraint(expr= m.x335 - 46.5*m.b511 <= 0) m.c298 = Constraint(expr= m.x336 - 33.75*m.b512 <= 0) m.c299 = Constraint(expr= m.x337 - 46.5*m.b513 <= 0) m.c300 = Constraint(expr= m.x338 - 33.75*m.b514 <= 0) m.c301 = Constraint(expr= m.x339 - 46.5*m.b515 <= 0) m.c302 = Constraint(expr= m.x340 - 33.75*m.b516 <= 0) m.c303 = Constraint(expr= m.x341 - 46.5*m.b517 <= 0) m.c304 = Constraint(expr= m.x366 - 135*m.b518 <= 0) m.c305 = Constraint(expr= m.x367 - 127.5*m.b519 <= 0) m.c306 = Constraint(expr= m.x368 - 135*m.b520 <= 0) m.c307 = Constraint(expr= m.x369 - 127.5*m.b521 <= 0) m.c308 = Constraint(expr= m.x370 - 135*m.b522 <= 0) m.c309 = Constraint(expr= m.x371 - 127.5*m.b523 <= 0) m.c310 = Constraint(expr= m.x372 - 135*m.b524 <= 0) m.c311 = Constraint(expr= m.x373 - 127.5*m.b525 <= 0) m.c312 = Constraint(expr= m.x390 - 57.1428571428571*m.b526 <= 0) m.c313 = Constraint(expr= m.x391 - 64.2857142857143*m.b527 <= 0) m.c314 = Constraint(expr= m.x392 - 57.1428571428571*m.b528 <= 0) m.c315 = Constraint(expr= m.x393 - 64.2857142857143*m.b529 <= 0) m.c316 = Constraint(expr= m.x394 - 57.1428571428571*m.b530 <= 0) m.c317 = Constraint(expr= m.x395 - 64.2857142857143*m.b531 <= 0) m.c318 = Constraint(expr= m.x396 - 57.1428571428571*m.b532 <= 0) m.c319 = Constraint(expr= m.x397 - 64.2857142857143*m.b533 <= 0) m.c320 = Constraint(expr= - 0.8*m.x262 + m.x278 == 0) m.c321 = Constraint(expr= - 0.8*m.x263 + m.x279 == 0) m.c322 = Constraint(expr= - 0.85*m.x264 + m.x280 == 0) m.c323 = Constraint(expr= - 0.85*m.x265 + m.x281 == 0) m.c324 = Constraint(expr= - 0.8*m.x266 + m.x282 == 0) m.c325 = Constraint(expr= - 0.8*m.x267 + m.x283 == 0) m.c326 = Constraint(expr= - 0.85*m.x268 + m.x284 == 0) m.c327 = Constraint(expr= - 0.85*m.x269 + m.x285 == 0) m.c328 = Constraint(expr= - 0.9*m.x270 + m.x286 == 0) m.c329 = Constraint(expr= - 0.9*m.x271 + m.x287 == 0) m.c330 = Constraint(expr= - 0.95*m.x272 + m.x288 == 0) m.c331 = Constraint(expr= - 0.95*m.x273 + m.x289 == 0) m.c332 = Constraint(expr= - 0.9*m.x274 + m.x290 == 0) m.c333 = Constraint(expr= - 0.9*m.x275 + m.x291 == 0) m.c334 = Constraint(expr= - 0.95*m.x276 + m.x292 == 0) m.c335 = Constraint(expr= - 0.95*m.x277 + m.x293 == 0) m.c336 = Constraint(expr= - 0.85*m.x294 + m.x302 == 0) m.c337 = Constraint(expr= - 0.85*m.x295 + m.x303 == 0) m.c338 = Constraint(expr= - 0.98*m.x296 + m.x304 == 0) m.c339 = Constraint(expr= - 0.98*m.x297 + m.x305 == 0) m.c340 = Constraint(expr= - 0.85*m.x298 + m.x306 == 0) m.c341 = Constraint(expr= - 0.85*m.x299 + m.x307 == 0) m.c342 = Constraint(expr= - 0.98*m.x300 + m.x308 == 0) m.c343 = Constraint(expr= - 0.98*m.x301 + m.x309 == 0) m.c344 = Constraint(expr= - 0.85*m.x294 + m.x310 == 0) m.c345 = Constraint(expr= - 0.85*m.x295 + m.x311 == 0) m.c346 = Constraint(expr= - 0.98*m.x296 + m.x312 == 0) m.c347 = Constraint(expr= - 0.98*m.x297 + m.x313 == 0) m.c348 = Constraint(expr= - 0.85*m.x298 + m.x314 == 0) m.c349 = Constraint(expr= - 0.85*m.x299 + m.x315 == 0) m.c350 = Constraint(expr= - 0.98*m.x300 + m.x316 == 0) m.c351 = Constraint(expr= - 0.98*m.x301 + m.x317 == 0) m.c352 = Constraint(expr= - 0.85*m.x318 + m.x326 == 0) m.c353 = Constraint(expr= - 0.85*m.x319 + m.x327 == 0) m.c354 = Constraint(expr= - 0.9*m.x320 + m.x328 == 0) m.c355 = Constraint(expr= - 0.9*m.x321 + m.x329 == 0) m.c356 = Constraint(expr= - 0.85*m.x322 + m.x330 == 0) m.c357 = Constraint(expr= - 0.85*m.x323 + m.x331 == 0) m.c358 = Constraint(expr= - 0.9*m.x324 + m.x332 == 0) m.c359 = Constraint(expr= - 0.9*m.x325 + m.x333 == 0) m.c360 = Constraint(expr= - 0.75*m.x342 + m.x350 == 0) m.c361 = Constraint(expr= - 0.75*m.x343 + m.x351 == 0) m.c362 = Constraint(expr= - 0.95*m.x344 + m.x352 == 0) m.c363 = Constraint(expr= - 0.95*m.x345 + m.x353 == 0) m.c364 = Constraint(expr= - 0.9*m.x346 + m.x354 == 0) m.c365 = Constraint(expr= - 0.9*m.x347 + m.x355 == 0) m.c366 = Constraint(expr= - 0.95*m.x348 + m.x356 == 0) m.c367 = Constraint(expr= - 0.95*m.x349 + m.x357 == 0) m.c368 = Constraint(expr= - 0.75*m.x342 + m.x358 == 0) m.c369 = Constraint(expr= - 0.75*m.x343 + m.x359 == 0) m.c370 = Constraint(expr= - 0.95*m.x344 + m.x360 == 0) m.c371 = Constraint(expr= - 0.95*m.x345 + m.x361 == 0) m.c372 = Constraint(expr= - 0.9*m.x346 + m.x362 == 0) m.c373 = Constraint(expr= - 0.9*m.x347 + m.x363 == 0) m.c374 = Constraint(expr= - 0.95*m.x348 + m.x364 == 0) m.c375 = Constraint(expr= - 0.95*m.x349 + m.x365 == 0) m.c376 = Constraint(expr= - 0.8*m.x334 + m.x374 == 0) m.c377 = Constraint(expr= - 0.8*m.x335 + m.x375 == 0) m.c378 = Constraint(expr= - 0.85*m.x336 + m.x376 == 0) m.c379 = Constraint(expr= - 0.85*m.x337 + m.x377 == 0) m.c380 = Constraint(expr= - 0.8*m.x338 + m.x378 == 0) m.c381 = Constraint(expr= - 0.8*m.x339 + m.x379 == 0) m.c382 = Constraint(expr= - 0.85*m.x340 + m.x380 == 0) m.c383 = Constraint(expr= - 0.85*m.x341 + m.x381 == 0) m.c384 = Constraint(expr= - 0.85*m.x366 + m.x382 == 0) m.c385 = Constraint(expr= - 0.85*m.x367 + m.x383 == 0) m.c386 = Constraint(expr= - 0.95*m.x368 + m.x384 == 0) m.c387 = Constraint(expr= - 0.95*m.x369 + m.x385 == 0) m.c388 = Constraint(expr= - 0.85*m.x370 + m.x386 == 0) m.c389 = Constraint(expr= - 0.85*m.x371 + m.x387 == 0) m.c390 = Constraint(expr= - 0.95*m.x372 + m.x388 == 0) m.c391 = Constraint(expr= - 0.95*m.x373 + m.x389 == 0) m.c392 = Constraint(expr= - 0.8*m.x390 + m.x398 == 0) m.c393 = Constraint(expr= - 0.8*m.x391 + m.x399 == 0) m.c394 = Constraint(expr= - 0.92*m.x392 + m.x400 == 0) m.c395 = Constraint(expr= - 0.92*m.x393 + m.x401 == 0) m.c396 = Constraint(expr= - 0.8*m.x394 + m.x402 == 0) m.c397 = Constraint(expr= - 0.8*m.x395 + m.x403 == 0) m.c398 = Constraint(expr= - 0.92*m.x396 + m.x404 == 0) m.c399 = Constraint(expr= - 0.92*m.x397 + m.x405 == 0) m.c400 = Constraint(expr= m.x4 - m.x174 - m.x176 - m.x178 - m.x180 == 0) m.c401 = Constraint(expr= m.x5 - m.x175 - m.x177 - m.x179 - m.x181 == 0) m.c402 = Constraint(expr= m.x6 - m.x182 - m.x184 - m.x186 - m.x188 == 0) m.c403 = Constraint(expr= m.x7 - m.x183 - m.x185 - m.x187 - m.x189 == 0) m.c404 = Constraint(expr= m.x14 - m.x190 - m.x192 - m.x194 - m.x196 == 0) m.c405 = Constraint(expr= m.x15 - m.x191 - m.x193 - m.x195 - m.x197 == 0) m.c406 = Constraint(expr= m.x22 - m.x198 - m.x200 - m.x202 - m.x204 == 0) m.c407 = Constraint(expr= m.x23 - m.x199 - m.x201 - m.x203 - m.x205 == 0) m.c408 = Constraint(expr= m.x28 - m.x206 - m.x208 - m.x210 - m.x212 == 0) m.c409 = Constraint(expr= m.x29 - m.x207 - m.x209 - m.x211 - m.x213 == 0) m.c410 = Constraint(expr= m.x34 - m.x222 - m.x224 - m.x226 - m.x228 == 0) m.c411 = Constraint(expr= m.x35 - m.x223 - m.x225 - m.x227 - m.x229 == 0) m.c412 = Constraint(expr= m.x32 - m.x214 - m.x216 - m.x218 - m.x220 == 0) m.c413 = Constraint(expr= m.x33 - m.x215 - m.x217 - m.x219 - m.x221 == 0) m.c414 = Constraint(expr= m.x46 - m.x230 - m.x232 - m.x234 - m.x236 == 0) m.c415 = Constraint(expr= m.x47 - m.x231 - m.x233 - m.x235 - m.x237 == 0) m.c416 = Constraint(expr= m.x48 - m.x238 - m.x240 - m.x242 - m.x244 == 0) m.c417 = Constraint(expr= m.x49 - m.x239 - m.x241 - m.x243 - m.x245 == 0) m.c418 = Constraint(expr= m.x62 - m.x254 - m.x256 - m.x258 - m.x260 == 0) m.c419 = Constraint(expr= m.x63 - m.x255 - m.x257 - m.x259 - m.x261 == 0) m.c420 = Constraint(expr= m.x60 - m.x246 - m.x248 - m.x250 - m.x252 == 0) m.c421 = Constraint(expr= m.x61 - m.x247 - m.x249 - m.x251 - m.x253 == 0) m.c422 = Constraint(expr= m.x174 - 55*m.b470 <= 0) m.c423 = Constraint(expr= m.x175 - 40*m.b471 <= 0) m.c424 = Constraint(expr= m.x176 - 55*m.b472 <= 0) m.c425 = Constraint(expr= m.x177 - 40*m.b473 <= 0) m.c426 = Constraint(expr= m.x178 - 55*m.b474 <= 0) m.c427 = Constraint(expr= m.x179 - 40*m.b475 <= 0) m.c428 = Constraint(expr= m.x180 - 55*m.b476 <= 0) m.c429 = Constraint(expr= m.x181 - 40*m.b477 <= 0) m.c430 = Constraint(expr= m.x182 - 55*m.b478 <= 0) m.c431 = Constraint(expr= m.x183 - 40*m.b479 <= 0) m.c432 = Constraint(expr= m.x184 - 55*m.b480 <= 0) m.c433 = Constraint(expr= m.x185 - 40*m.b481 <= 0) m.c434 = Constraint(expr= m.x186 - 55*m.b482 <= 0) m.c435 = Constraint(expr= m.x187 - 40*m.b483 <= 0) m.c436 = Constraint(expr= m.x188 - 55*m.b484 <= 0) m.c437 = Constraint(expr= m.x189 - 40*m.b485 <= 0) m.c438 = Constraint(expr= m.x190 - 91*m.b478 <= 0) m.c439 = Constraint(expr= m.x191 - 103*m.b479 <= 0) m.c440 = Constraint(expr= m.x192 - 91*m.b480 <= 0) m.c441 = Constraint(expr= m.x193 - 103*m.b481 <= 0) m.c442 = Constraint(expr= m.x194 - 91*m.b482 <= 0) m.c443 = Constraint(expr= m.x195 - 103*m.b483 <= 0) m.c444 = Constraint(expr= m.x196 - 91*m.b484 <= 0) m.c445 = Constraint(expr= m.x197 - 103*m.b485 <= 0) m.c446 = Constraint(expr= m.x198 - 45*m.b486 <= 0) m.c447 = Constraint(expr= m.x199 - 62*m.b487 <= 0) m.c448 = Constraint(expr= m.x200 - 45*m.b488 <= 0) m.c449 = Constraint(expr= m.x201 - 62*m.b489 <= 0) m.c450 = Constraint(expr= m.x202 - 45*m.b490 <= 0) m.c451 = Constraint(expr= m.x203 - 62*m.b491 <= 0) m.c452 = Constraint(expr= m.x204 - 45*m.b492 <= 0) m.c453 = Constraint(expr= m.x205 - 62*m.b493 <= 0) m.c454 = Constraint(expr= m.x206 - 45*m.b494 <= 0) m.c455 = Constraint(expr= m.x207 - 62*m.b495 <= 0) m.c456 = Constraint(expr= m.x208 - 45*m.b496 <= 0) m.c457 = Constraint(expr= m.x209 - 62*m.b497 <= 0) m.c458 = Constraint(expr= m.x210 - 45*m.b498 <= 0) m.c459 = Constraint(expr= m.x211 - 62*m.b499 <= 0) m.c460 = Constraint(expr= m.x212 - 45*m.b500 <= 0) m.c461 = Constraint(expr= m.x213 - 62*m.b501 <= 0) m.c462 = Constraint(expr= m.x222 - 45*m.b502 <= 0) m.c463 = Constraint(expr= m.x223 - 62*m.b503 <= 0) m.c464 = Constraint(expr= m.x224 - 45*m.b504 <= 0) m.c465 = Constraint(expr= m.x225 - 62*m.b505 <= 0) m.c466 = Constraint(expr= m.x226 - 45*m.b506 <= 0) m.c467 = Constraint(expr= m.x227 - 62*m.b507 <= 0) m.c468 = Constraint(expr= m.x228 - 45*m.b508 <= 0) m.c469 = Constraint(expr= m.x229 - 62*m.b509 <= 0) m.c470 = Constraint(expr= m.x214 - 45*m.b510 <= 0) m.c471 = Constraint(expr= m.x215 - 62*m.b511 <= 0) m.c472 = Constraint(expr= m.x216 - 45*m.b512 <= 0) m.c473 = Constraint(expr= m.x217 - 62*m.b513 <= 0) m.c474 = Constraint(expr= m.x218 - 45*m.b514 <= 0) m.c475 = Constraint(expr= m.x219 - 62*m.b515 <= 0) m.c476 = Constraint(expr= m.x220 - 45*m.b516 <= 0) m.c477 = Constraint(expr= m.x221 - 62*m.b517 <= 0) m.c478 = Constraint(expr= m.x230 - 54*m.b510 <= 0) m.c479 = Constraint(expr= m.x231 - 51*m.b511 <= 0) m.c480 = Constraint(expr= m.x232 - 54*m.b512 <= 0) m.c481 = Constraint(expr= m.x233 - 51*m.b513 <= 0) m.c482 = Constraint(expr= m.x234 - 54*m.b514 <= 0) m.c483 = Constraint(expr= m.x235 - 51*m.b515 <= 0) m.c484 = Constraint(expr= m.x236 - 54*m.b516 <= 0) m.c485 = Constraint(expr= m.x237 - 51*m.b517 <= 0) m.c486 = Constraint(expr= m.x238 - 54*m.b518 <= 0) m.c487 = Constraint(expr= m.x239 - 51*m.b519 <= 0) m.c488 = Constraint(expr= m.x240 - 54*m.b520 <= 0) m.c489 = Constraint(expr= m.x241 - 51*m.b521 <= 0) m.c490 = Constraint(expr= m.x242 - 54*m.b522 <= 0) m.c491 = Constraint(expr= m.x243 - 51*m.b523 <= 0) m.c492 = Constraint(expr= m.x244 - 54*m.b524 <= 0) m.c493 = Constraint(expr= m.x245 - 51*m.b525 <= 0) m.c494 = Constraint(expr= m.x254 - 40*m.b518 <= 0) m.c495 = Constraint(expr= m.x255 - 45*m.b519 <= 0) m.c496 = Constraint(expr= m.x256 - 40*m.b520 <= 0) m.c497 = Constraint(expr= m.x257 - 45*m.b521 <= 0) m.c498 = Constraint(expr= m.x258 - 40*m.b522 <= 0) m.c499 = Constraint(expr= m.x259 - 45*m.b523 <= 0) m.c500 = Constraint(expr= m.x260 - 40*m.b524 <= 0) m.c501 = Constraint(expr= m.x261 - 45*m.b525 <= 0) m.c502 = Constraint(expr= m.x246 - 40*m.b526 <= 0) m.c503 = Constraint(expr= m.x247 - 45*m.b527 <= 0) m.c504 = Constraint(expr= m.x248 - 40*m.b528 <= 0) m.c505 = Constraint(expr= m.x249 - 45*m.b529 <= 0) m.c506 = Constraint(expr= m.x250 - 40*m.b530 <= 0) m.c507 = Constraint(expr= m.x251 - 45*m.b531 <= 0) m.c508 = Constraint(expr= m.x252 - 40*m.b532 <= 0) m.c509 = Constraint(expr= m.x253 - 45*m.b533 <= 0) m.c510 = Constraint(expr= m.x174 - 10*m.b470 <= 0) m.c511 = Constraint(expr= m.x175 - 10*m.b471 <= 0) m.c512 = Constraint(expr= m.x176 - 10*m.b472 <= 0) m.c513 = Constraint(expr= m.x177 - 10*m.b473 <= 0) m.c514 = Constraint(expr= m.x178 - 50*m.b474 <= 0) m.c515 = Constraint(expr= m.x179 - 50*m.b475 <= 0) m.c516 = Constraint(expr= m.x180 - 50*m.b476 <= 0) m.c517 = Constraint(expr= m.x181 - 50*m.b477 <= 0) m.c518 = Constraint(expr= m.x182 + m.x190 - 40*m.b478 <= 0) m.c519 = Constraint(expr= m.x183 + m.x191 - 40*m.b479 <= 0) m.c520 = Constraint(expr= m.x184 + m.x192 - 40*m.b480 <= 0) m.c521 = Constraint(expr= m.x185 + m.x193 - 40*m.b481 <= 0) m.c522 = Constraint(expr= m.x186 + m.x194 - 60*m.b482 <= 0) m.c523 = Constraint(expr= m.x187 + m.x195 - 60*m.b483 <= 0) m.c524 = Constraint(expr= m.x188 + m.x196 - 60*m.b484 <= 0) m.c525 = Constraint(expr= m.x189 + m.x197 - 60*m.b485 <= 0) m.c526 = Constraint(expr= m.x198 - 15*m.b486 <= 0) m.c527 = Constraint(expr= m.x199 - 15*m.b487 <= 0) m.c528 = Constraint(expr= m.x200 - 15*m.b488 <= 0) m.c529 = Constraint(expr= m.x201 - 15*m.b489 <= 0) m.c530 = Constraint(expr= m.x202 - 25*m.b490 <= 0) m.c531 = Constraint(expr= m.x203 - 25*m.b491 <= 0) m.c532 = Constraint(expr= m.x204 - 25*m.b492 <= 0) m.c533 = Constraint(expr= m.x205 - 25*m.b493 <= 0) m.c534 = Constraint(expr= m.x206 - 15*m.b494 <= 0) m.c535 = Constraint(expr= m.x207 - 15*m.b495 <= 0) m.c536 = Constraint(expr= m.x208 - 15*m.b496 <= 0) m.c537 = Constraint(expr= m.x209 - 15*m.b497 <= 0) m.c538 = Constraint(expr= m.x210 - 20*m.b498 <= 0) m.c539 = Constraint(expr= m.x211 - 20*m.b499 <= 0) m.c540 = Constraint(expr= m.x212 - 20*m.b500 <= 0) m.c541 = Constraint(expr= m.x213 - 20*m.b501 <= 0) m.c542 = Constraint(expr= m.x222 - 10*m.b502 <= 0) m.c543 = Constraint(expr= m.x223 - 10*m.b503 <= 0) m.c544 = Constraint(expr= m.x224 - 10*m.b504 <= 0) m.c545 = Constraint(expr= m.x225 - 10*m.b505 <= 0) m.c546 = Constraint(expr= m.x226 - 20*m.b506 <= 0) m.c547 = Constraint(expr= m.x227 - 20*m.b507 <= 0) m.c548 = Constraint(expr= m.x228 - 20*m.b508 <= 0) m.c549 = Constraint(expr= m.x229 - 20*m.b509 <= 0) m.c550 = Constraint(expr= m.x214 + m.x230 - 20*m.b510 <= 0) m.c551 = Constraint(expr= m.x215 + m.x231 - 20*m.b511 <= 0) m.c552 = Constraint(expr= m.x216 + m.x232 - 20*m.b512 <= 0) m.c553 = Constraint(expr= m.x217 + m.x233 - 20*m.b513 <= 0) m.c554 = Constraint(expr= m.x218 + m.x234 - 55*m.b514 <= 0) m.c555 = Constraint(expr= m.x219 + m.x235 - 55*m.b515 <= 0) m.c556 = Constraint(expr= m.x220 + m.x236 - 55*m.b516 <= 0) m.c557 = Constraint(expr= m.x221 + m.x237 - 55*m.b517 <= 0) m.c558 = Constraint(expr= m.x238 + m.x254 - 25*m.b518 <= 0) m.c559 = Constraint(expr= m.x239 + m.x255 - 25*m.b519 <= 0) m.c560 = Constraint(expr= m.x240 + m.x256 - 25*m.b520 <= 0) m.c561 = Constraint(expr= m.x241 + m.x257 - 25*m.b521 <= 0) m.c562 = Constraint(expr= m.x242 + m.x258 - 50*m.b522 <= 0) m.c563 = Constraint(expr= m.x243 + m.x259 - 50*m.b523 <= 0) m.c564 = Constraint(expr= m.x244 + m.x260 - 50*m.b524 <= 0) m.c565 = Constraint(expr= m.x245 + m.x261 - 50*m.b525 <= 0) m.c566 = Constraint(expr= m.x246 - 15*m.b526 <= 0) m.c567 = Constraint(expr= m.x247 - 15*m.b527 <= 0) m.c568 = Constraint(expr= m.x248 - 15*m.b528 <= 0) m.c569 = Constraint(expr= m.x249 - 15*m.b529 <= 0) m.c570 = Constraint(expr= m.x250 - 35*m.b530 <= 0) m.c571 = Constraint(expr= m.x251 - 35*m.b531 <= 0) m.c572 = Constraint(expr= m.x252 - 35*m.b532 <= 0) m.c573 = Constraint(expr= m.x253 - 35*m.b533 <= 0) m.c574 = Constraint(expr= m.x158 - m.x406 - m.x408 - m.x410 - m.x412 == 0) m.c575 = Constraint(expr= m.x159 - m.x407 - m.x409 - m.x411 - m.x413 == 0) m.c576 = Constraint(expr= m.x160 - m.x414 - m.x416 - m.x418 - m.x420 == 0) m.c577 = Constraint(expr= m.x161 - m.x415 - m.x417 - m.x419 - m.x421 == 0) m.c578 = Constraint(expr= m.x162 - m.x422 - m.x424 - m.x426 - m.x428 == 0) m.c579 = Constraint(expr= m.x163 - m.x423 - m.x425 - m.x427 - m.x429 == 0) m.c580 = Constraint(expr= m.x164 - m.x430 - m.x432 - m.x434 - m.x436 == 0) m.c581 = Constraint(expr= m.x165 - m.x431 - m.x433 - m.x435 - m.x437 == 0) m.c582 = Constraint(expr= m.x166 - m.x438 - m.x440 - m.x442 - m.x444 == 0) m.c583 = Constraint(expr= m.x167 - m.x439 - m.x441 - m.x443 - m.x445 == 0) m.c584 = Constraint(expr= m.x168 - m.x446 - m.x448 - m.x450 - m.x452 == 0) m.c585 = Constraint(expr= m.x169 - m.x447 - m.x449 - m.x451 - m.x453 == 0) m.c586 = Constraint(expr= m.x170 - m.x454 - m.x456 - m.x458 - m.x460 == 0) m.c587 = Constraint(expr= m.x171 - m.x455 - m.x457 - m.x459 - m.x461 == 0) m.c588 = Constraint(expr= m.x172 - m.x462 - m.x464 - m.x466 - m.x468 == 0) m.c589 = Constraint(expr= m.x173 - m.x463 - m.x465 - m.x467 - m.x469 == 0) m.c590 = Constraint(expr= m.x406 <= 0) m.c591 = Constraint(expr= m.x407 <= 0) m.c592 = Constraint(expr= m.x408 - 6*m.b536 <= 0) m.c593 = Constraint(expr= m.x409 - 4*m.b537 <= 0) m.c594 = Constraint(expr= m.x410 - 40*m.b538 <= 0) m.c595 = Constraint(expr= m.x411 - 35*m.b539 <= 0) m.c596 = Constraint(expr= m.x412 - 46*m.b540 <= 0) m.c597 = Constraint(expr= m.x413 - 39*m.b541 <= 0) m.c598 = Constraint(expr= m.x414 <= 0) m.c599 = Constraint(expr= m.x415 <= 0) m.c600 = Constraint(expr= m.x416 - 7*m.b544 <= 0) m.c601 = Constraint(expr= m.x417 - 4*m.b545 <= 0) m.c602 = Constraint(expr= m.x418 - 30*m.b546 <= 0) m.c603 = Constraint(expr= m.x419 - 25*m.b547 <= 0) m.c604 = Constraint(expr= m.x420 - 37*m.b548 <= 0) m.c605 = Constraint(expr= m.x421 - 29*m.b549 <= 0) m.c606 = Constraint(expr= m.x422 <= 0) m.c607 = Constraint(expr= m.x423 <= 0) m.c608 = Constraint(expr= m.x424 - 7*m.b552 <= 0) m.c609 = Constraint(expr= m.x425 - 5*m.b553 <= 0) m.c610 = Constraint(expr= m.x426 - 15*m.b554 <= 0) m.c611 = Constraint(expr= m.x427 - 5*m.b555 <= 0) m.c612 = Constraint(expr= m.x428 - 22*m.b556 <= 0) m.c613 = Constraint(expr= m.x429 - 10*m.b557 <= 0) m.c614 = Constraint(expr= m.x430 <= 0) m.c615 = Constraint(expr= m.x431 <= 0) m.c616 = Constraint(expr= m.x432 - 11*m.b560 <= 0) m.c617 = Constraint(expr= m.x433 - 8*m.b561 <= 0) m.c618 = Constraint(expr= m.x434 - 13*m.b562 <= 0) m.c619 = Constraint(expr= m.x435 - 8*m.b563 <= 0) m.c620 = Constraint(expr= m.x436 - 24*m.b564 <= 0) m.c621 = Constraint(expr= m.x437 - 16*m.b565 <= 0) m.c622 = Constraint(expr= m.x438 <= 0) m.c623 = Constraint(expr= m.x439 <= 0) m.c624 = Constraint(expr= m.x440 - 10*m.b568 <= 0) m.c625 = Constraint(expr= m.x441 - 7*m.b569 <= 0) m.c626 = Constraint(expr= m.x442 - 13*m.b570 <= 0) m.c627 = Constraint(expr= m.x443 - 8*m.b571 <= 0) m.c628 = Constraint(expr= m.x444 - 23*m.b572 <= 0) m.c629 = Constraint(expr= m.x445 - 15*m.b573 <= 0) m.c630 = Constraint(expr= m.x446 <= 0) m.c631 = Constraint(expr= m.x447 <= 0) m.c632 = Constraint(expr= m.x448 - 9*m.b576 <= 0) m.c633 = Constraint(expr= m.x449 - 9*m.b577 <= 0) m.c634 = Constraint(expr= m.x450 - 30*m.b578 <= 0) m.c635 = Constraint(expr= m.x451 - 30*m.b579 <= 0) m.c636 = Constraint(expr= m.x452 - 39*m.b580 <= 0) m.c637 = Constraint(expr= m.x453 - 39*m.b581 <= 0) m.c638 = Constraint(expr= m.x454 <= 0) m.c639 = Constraint(expr= m.x455 <= 0) m.c640 = Constraint(expr= m.x456 - 8*m.b584 <= 0) m.c641 = Constraint(expr= m.x457 - 7*m.b585 <= 0) m.c642 = Constraint(expr= m.x458 - 20*m.b586 <= 0) m.c643 = Constraint(expr= m.x459 - 15*m.b587 <= 0) m.c644 = Constraint(expr= m.x460 - 28*m.b588 <= 0) m.c645 = Constraint(expr= m.x461 - 22*m.b589 <= 0) m.c646 = Constraint(expr= m.x462 <= 0) m.c647 = Constraint(expr= m.x463 <= 0) m.c648 = Constraint(expr= m.x464 - 8*m.b592 <= 0) m.c649 = Constraint(expr= m.x465 - 6*m.b593 <= 0) m.c650 = Constraint(expr= m.x466 - 15*m.b594 <= 0) m.c651 = Constraint(expr= m.x467 - 10*m.b595 <= 0) m.c652 = Constraint(expr= m.x468 - 23*m.b596 <= 0) m.c653 = Constraint(expr= m.x469 - 16*m.b597 <= 0) m.c654 = Constraint(expr= m.x406 == 0) m.c655 = Constraint(expr= m.x407 == 0) m.c656 = Constraint(expr= m.x408 - 6*m.b536 == 0) m.c657 = Constraint(expr= m.x409 - 4*m.b537 == 0) m.c658 = Constraint(expr= m.x410 - 40*m.b538 == 0) m.c659 = Constraint(expr= m.x411 - 35*m.b539 == 0) m.c660 = Constraint(expr= m.x412 - 46*m.b540 == 0) m.c661 = Constraint(expr= m.x413 - 39*m.b541 == 0) m.c662 = Constraint(expr= m.x414 == 0) m.c663 = Constraint(expr= m.x415 == 0) m.c664 = Constraint(expr= m.x416 - 7*m.b544 == 0) m.c665 = Constraint(expr= m.x417 - 4*m.b545 == 0) m.c666 = Constraint(expr= m.x418 - 30*m.b546 == 0) m.c667 = Constraint(expr= m.x419 - 25*m.b547 == 0) m.c668 = Constraint(expr= m.x420 - 37*m.b548 == 0) m.c669 = Constraint(expr= m.x421 - 29*m.b549 == 0) m.c670 = Constraint(expr= m.x422 == 0) m.c671 = Constraint(expr= m.x423 == 0) m.c672 = Constraint(expr= m.x424 - 7*m.b552 == 0) m.c673 = Constraint(expr= m.x425 - 5*m.b553 == 0) m.c674 = Constraint(expr= m.x426 - 15*m.b554 == 0) m.c675 = Constraint(expr= m.x427 - 5*m.b555 == 0) m.c676 = Constraint(expr= m.x428 - 22*m.b556 == 0) m.c677 = Constraint(expr= m.x429 - 10*m.b557 == 0) m.c678 = Constraint(expr= m.x430 == 0) m.c679 = Constraint(expr= m.x431 == 0) m.c680 = Constraint(expr= m.x432 - 11*m.b560 == 0) m.c681 = Constraint(expr= m.x433 - 8*m.b561 == 0) m.c682 = Constraint(expr= m.x434 - 13*m.b562 == 0) m.c683 = Constraint(expr= m.x435 - 8*m.b563 == 0) m.c684 = Constraint(expr= m.x436 - 24*m.b564 == 0) m.c685 = Constraint(expr= m.x437 - 16*m.b565 == 0) m.c686 = Constraint(expr= m.x438 == 0) m.c687 = Constraint(expr= m.x439 == 0) m.c688 = Constraint(expr= m.x440 - 10*m.b568 == 0) m.c689 = Constraint(expr= m.x441 - 7*m.b569 == 0) m.c690 = Constraint(expr= m.x442 - 13*m.b570 == 0) m.c691 = Constraint(expr= m.x443 - 8*m.b571 == 0) m.c692 = Constraint(expr= m.x444 - 23*m.b572 == 0) m.c693 = Constraint(expr= m.x445 - 15*m.b573 == 0) m.c694 = Constraint(expr= m.x446 == 0) m.c695 = Constraint(expr= m.x447 == 0) m.c696 = Constraint(expr= m.x448 - 9*m.b576 == 0) m.c697 = Constraint(expr= m.x449 - 9*m.b577 == 0) m.c698 = Constraint(expr= m.x450 - 30*m.b578 == 0) m.c699 = Constraint(expr= m.x451 - 30*m.b579 == 0) m.c700 = Constraint(expr= m.x452 - 39*m.b580 == 0) m.c701 = Constraint(expr= m.x453 - 39*m.b581 == 0) m.c702 = Constraint(expr= m.x454 == 0) m.c703 = Constraint(expr= m.x455 == 0) m.c704 = Constraint(expr= m.x456 - 8*m.b584 == 0) m.c705 = Constraint(expr= m.x457 - 7*m.b585 == 0) m.c706 = Constraint(expr= m.x458 - 20*m.b586 == 0) m.c707 = Constraint(expr= m.x459 - 15*m.b587 == 0) m.c708 = Constraint(expr= m.x460 - 28*m.b588 == 0) m.c709 = Constraint(expr= m.x461 - 22*m.b589 == 0) m.c710 = Constraint(expr= m.x462 == 0) m.c711 = Constraint(expr= m.x463 == 0) m.c712 = Constraint(expr= m.x464 - 8*m.b592 == 0) m.c713 = Constraint(expr= m.x465 - 6*m.b593 == 0) m.c714 = Constraint(expr= m.x466 - 15*m.b594 == 0) m.c715 = Constraint(expr= m.x467 - 10*m.b595 == 0) m.c716 = Constraint(expr= m.x468 - 23*m.b596 == 0) m.c717 = Constraint(expr= m.x469 - 16*m.b597 == 0) m.c718 = Constraint(expr= 20*m.x2 + 20*m.x12 + 18*m.x20 + 16*m.x44 + 20*m.x58 + m.x158 + m.x160 + m.x162 + m.x164 + m.x166 + m.x168 + m.x170 + m.x172 <= 4000) m.c719 = Constraint(expr= 17*m.x3 + 21*m.x13 + 20*m.x21 + 19*m.x45 + 18*m.x59 + m.x159 + m.x161 + m.x163 + m.x165 + m.x167 + m.x169 + m.x171 + m.x173 <= 3800) m.c720 = Constraint(expr= m.b470 + m.b472 + m.b474 + m.b476 == 1) m.c721 = Constraint(expr= m.b471 + m.b473 + m.b475 + m.b477 == 1) m.c722 = Constraint(expr= m.b478 + m.b480 + m.b482 + m.b484 == 1) m.c723 = Constraint(expr= m.b479 + m.b481 + m.b483 + m.b485 == 1) m.c724 = Constraint(expr= m.b486 + m.b488 + m.b490 + m.b492 == 1) m.c725 = Constraint(expr= m.b487 + m.b489 + m.b491 + m.b493 == 1) m.c726 = Constraint(expr= m.b494 + m.b496 + m.b498 + m.b500 == 1) m.c727 = Constraint(expr= m.b495 + m.b497 + m.b499 + m.b501 == 1) m.c728 = Constraint(expr= m.b502 + m.b504 + m.b506 + m.b508 == 1) m.c729 = Constraint(expr= m.b503 + m.b505 + m.b507 + m.b509 == 1) m.c730 = Constraint(expr= m.b510 + m.b512 + m.b514 + m.b516 == 1) m.c731 = Constraint(expr= m.b511 + m.b513 + m.b515 + m.b517 == 1) m.c732 = Constraint(expr= m.b518 + m.b520 + m.b522 + m.b524 == 1) m.c733 = Constraint(expr= m.b519 + m.b521 + m.b523 + m.b525 == 1) m.c734 = Constraint(expr= m.b526 + m.b528 + m.b530 + m.b532 == 1) m.c735 = Constraint(expr= m.b527 + m.b529 + m.b531 + m.b533 == 1) m.c736 = Constraint(expr= m.b534 + m.b536 + m.b538 + m.b540 == 1) m.c737 = Constraint(expr= m.b535 + m.b537 + m.b539 + m.b541 == 1) m.c738 = Constraint(expr= m.b542 + m.b544 + m.b546 + m.b548 == 1) m.c739 = Constraint(expr= m.b543 + m.b545 + m.b547 + m.b549 == 1) m.c740 = Constraint(expr= m.b550 + m.b552 + m.b554 + m.b556 == 1) m.c741 = Constraint(expr= m.b551 + m.b553 + m.b555 + m.b557 == 1) m.c742 = Constraint(expr= m.b558 + m.b560 + m.b562 + m.b564 == 1) m.c743 = Constraint(expr= m.b559 + m.b561 + m.b563 + m.b565 == 1) m.c744 = Constraint(expr= m.b566 + m.b568 + m.b570 + m.b572 == 1) m.c745 = Constraint(expr= m.b567 + m.b569 + m.b571 + m.b573 == 1) m.c746 = Constraint(expr= m.b574 + m.b576 + m.b578 + m.b580 == 1) m.c747 = Constraint(expr= m.b575 + m.b577 + m.b579 + m.b581 == 1) m.c748 = Constraint(expr= m.b582 + m.b584 + m.b586 + m.b588 == 1) m.c749 = Constraint(expr= m.b583 + m.b585 + m.b587 + m.b589 == 1) m.c750 = Constraint(expr= m.b590 + m.b592 + m.b594 + m.b596 == 1) m.c751 = Constraint(expr= m.b591 + m.b593 + m.b595 + m.b597 == 1) m.c752 = Constraint(expr= m.b472 - m.b473 <= 0) m.c753 = Constraint(expr= m.b474 - m.b475 <= 0) m.c754 = Constraint(expr= m.b476 - m.b477 <= 0) m.c755 = Constraint(expr= m.b480 - m.b481 <= 0) m.c756 = Constraint(expr= m.b482 - m.b483 <= 0) m.c757 = Constraint(expr= m.b484 - m.b485 <= 0) m.c758 = Constraint(expr= m.b488 - m.b489 <= 0) m.c759 = Constraint(expr= m.b490 - m.b491 <= 0) m.c760 = Constraint(expr= m.b492 - m.b493 <= 0) m.c761 = Constraint(expr= m.b496 - m.b497 <= 0) m.c762 = Constraint(expr= m.b498 - m.b499 <= 0) m.c763 = Constraint(expr= m.b500 - m.b501 <= 0) m.c764 = Constraint(expr= m.b504 - m.b505 <= 0) m.c765 = Constraint(expr= m.b506 - m.b507 <= 0) m.c766 = Constraint(expr= m.b508 - m.b509 <= 0) m.c767 = Constraint(expr= m.b512 - m.b513 <= 0) m.c768 = Constraint(expr= m.b514 - m.b515 <= 0) m.c769 = Constraint(expr= m.b516 - m.b517 <= 0) m.c770 = Constraint(expr= m.b520 - m.b521 <= 0) m.c771 = Constraint(expr= m.b522 - m.b523 <= 0) m.c772 = Constraint(expr= m.b524 - m.b525 <= 0) m.c773 = Constraint(expr= m.b528 - m.b529 <= 0) m.c774 = Constraint(expr= m.b530 - m.b531 <= 0) m.c775 = Constraint(expr= m.b532 - m.b533 <= 0) m.c776 = Constraint(expr= - m.b535 + m.b536 <= 0) m.c777 = Constraint(expr= - m.b534 + m.b537 <= 0) m.c778 = Constraint(expr= - m.b535 + m.b538 <= 0) m.c779 = Constraint(expr= - m.b534 + m.b539 <= 0) m.c780 = Constraint(expr= - m.b535 + m.b540 <= 0) m.c781 = Constraint(expr= - m.b534 + m.b541 <= 0) m.c782 = Constraint(expr= - m.b543 + m.b544 <= 0) m.c783 = Constraint(expr= - m.b542 + m.b545 <= 0) m.c784 = Constraint(expr= - m.b543 + m.b546 <= 0) m.c785 = Constraint(expr= - m.b542 + m.b547 <= 0) m.c786 = Constraint(expr= - m.b543 + m.b548 <= 0) m.c787 = Constraint(expr= - m.b542 + m.b549 <= 0) m.c788 = Constraint(expr= - m.b551 + m.b552 <= 0) m.c789 = Constraint(expr= - m.b550 + m.b553 <= 0) m.c790 = Constraint(expr= - m.b551 + m.b554 <= 0) m.c791 = Constraint(expr= - m.b550 + m.b555 <= 0) m.c792 = Constraint(expr= - m.b551 + m.b556 <= 0) m.c793 = Constraint(expr= - m.b550 + m.b557 <= 0) m.c794 = Constraint(expr= - m.b559 + m.b560 <= 0) m.c795 = Constraint(expr= - m.b558 + m.b561 <= 0) m.c796 = Constraint(expr= - m.b559 + m.b562 <= 0) m.c797 = Constraint(expr= - m.b558 + m.b563 <= 0) m.c798 = Constraint(expr= - m.b559 + m.b564 <= 0) m.c799 = Constraint(expr= - m.b558 + m.b565 <= 0) m.c800 = Constraint(expr= - m.b567 + m.b568 <= 0) m.c801 = Constraint(expr= - m.b566 + m.b569 <= 0) m.c802 = Constraint(expr= - m.b567 + m.b570 <= 0) m.c803 = Constraint(expr= - m.b566 + m.b571 <= 0) m.c804 = Constraint(expr= - m.b567 + m.b572 <= 0) m.c805 = Constraint(expr= - m.b566 + m.b573 <= 0) m.c806 = Constraint(expr= - m.b575 + m.b576 <= 0) m.c807 = Constraint(expr= - m.b574 + m.b577 <= 0) m.c808 = Constraint(expr= - m.b575 + m.b578 <= 0) m.c809 = Constraint(expr= - m.b574 + m.b579 <= 0) m.c810 = Constraint(expr= - m.b575 + m.b580 <= 0) m.c811 = Constraint(expr= - m.b574 + m.b581 <= 0) m.c812 = Constraint(expr= - m.b583 + m.b584 <= 0) m.c813 = Constraint(expr= - m.b582 + m.b585 <= 0) m.c814 = Constraint(expr= - m.b583 + m.b586 <= 0) m.c815 = Constraint(expr= - m.b582 + m.b587 <= 0) m.c816 = Constraint(expr= - m.b583 + m.b588 <= 0) m.c817 = Constraint(expr= - m.b582 + m.b589 <= 0) m.c818 = Constraint(expr= - m.b591 + m.b592 <= 0) m.c819 = Constraint(expr= - m.b590 + m.b593 <= 0) m.c820 = Constraint(expr= - m.b591 + m.b594 <= 0) m.c821 = Constraint(expr= - m.b590 + m.b595 <= 0) m.c822 = Constraint(expr= - m.b591 + m.b596 <= 0) m.c823 = Constraint(expr= - m.b590 + m.b597 <= 0) m.c824 = Constraint(expr= m.b470 - m.b534 <= 0) m.c825 = Constraint(expr= m.b471 - m.b535 <= 0) m.c826 = Constraint(expr= m.b478 - m.b542 <= 0) m.c827 = Constraint(expr= m.b479 - m.b543 <= 0) m.c828 = Constraint(expr= m.b486 - m.b550 <= 0) m.c829 = Constraint(expr= m.b487 - m.b551 <= 0) m.c830 = Constraint(expr= m.b494 - m.b558 <= 0) m.c831 = Constraint(expr= m.b495 - m.b559 <= 0) m.c832 = Constraint(expr= m.b502 - m.b566 <= 0) m.c833 = Constraint(expr= m.b503 - m.b567 <= 0) m.c834 = Constraint(expr= m.b510 - m.b574 <= 0) m.c835 = Constraint(expr= m.b511 - m.b575 <= 0) m.c836 = Constraint(expr= m.b518 - m.b582 <= 0) m.c837 = Constraint(expr= m.b519 - m.b583 <= 0) m.c838 = Constraint(expr= m.b526 - m.b590 <= 0) m.c839 = Constraint(expr= m.b527 - m.b591 <= 0) m.c840 = Constraint(expr= m.b472 - m.b536 <= 0) m.c841 = Constraint(expr= - m.b472 + m.b473 - m.b537 <= 0) m.c842 = Constraint(expr= m.b474 - m.b538 <= 0) m.c843 = Constraint(expr= - m.b474 + m.b475 - m.b539 <= 0) m.c844 = Constraint(expr= m.b476 - m.b540 <= 0) m.c845 = Constraint(expr= - m.b476 + m.b477 - m.b541 <= 0) m.c846 = Constraint(expr= m.b480 - m.b544 <= 0) m.c847 = Constraint(expr= - m.b480 + m.b481 - m.b545 <= 0) m.c848 = Constraint(expr= m.b482 - m.b546 <= 0) m.c849 = Constraint(expr= - m.b482 + m.b483 - m.b547 <= 0) m.c850 = Constraint(expr= m.b484 - m.b548 <= 0) m.c851 = Constraint(expr= - m.b484 + m.b485 - m.b549 <= 0) m.c852 = Constraint(expr= m.b488 - m.b552 <= 0) m.c853 = Constraint(expr= - m.b488 + m.b489 - m.b553 <= 0) m.c854 = Constraint(expr= m.b490 - m.b554 <= 0) m.c855 = Constraint(expr= - m.b490 + m.b491 - m.b555 <= 0) m.c856 = Constraint(expr= m.b492 - m.b556 <= 0) m.c857 = Constraint(expr= - m.b492 + m.b493 - m.b557 <= 0) m.c858 = Constraint(expr= m.b496 - m.b560 <= 0) m.c859 = Constraint(expr= - m.b496 + m.b497 - m.b561 <= 0) m.c860 = Constraint(expr= m.b498 - m.b562 <= 0) m.c861 = Constraint(expr= - m.b498 + m.b499 - m.b563 <= 0) m.c862 = Constraint(expr= m.b500 - m.b564 <= 0) m.c863 = Constraint(expr= - m.b500 + m.b501 - m.b565 <= 0) m.c864 = Constraint(expr= m.b504 - m.b568 <= 0) m.c865 = Constraint(expr= - m.b504 + m.b505 - m.b569 <= 0) m.c866 = Constraint(expr= m.b506 - m.b570 <= 0) m.c867 = Constraint(expr= - m.b506 + m.b507 - m.b571 <= 0) m.c868 = Constraint(expr= m.b508 - m.b572 <= 0) m.c869 = Constraint(expr= - m.b508 + m.b509 - m.b573 <= 0) m.c870 = Constraint(expr= m.b512 - m.b576 <= 0) m.c871 = Constraint(expr= - m.b512 + m.b513 - m.b577 <= 0) m.c872 = Constraint(expr= m.b514 - m.b578 <= 0) m.c873 = Constraint(expr= - m.b514 + m.b515 - m.b579 <= 0) m.c874 = Constraint(expr= m.b516 - m.b580 <= 0) m.c875 = Constraint(expr= - m.b516 + m.b517 - m.b581 <= 0) m.c876 = Constraint(expr= m.b520 - m.b584 <= 0) m.c877 = Constraint(expr= - m.b520 + m.b521 - m.b585 <= 0) m.c878 = Constraint(expr= m.b522 - m.b586 <= 0) m.c879 = Constraint(expr= - m.b522 + m.b523 - m.b587 <= 0) m.c880 = Constraint(expr= m.b524 - m.b588 <= 0) m.c881 = Constraint(expr= - m.b524 + m.b525 - m.b589 <= 0) m.c882 = Constraint(expr= m.b528 - m.b592 <= 0) m.c883 = Constraint(expr= - m.b528 + m.b529 - m.b593 <= 0) m.c884 = Constraint(expr= m.b530 - m.b594 <= 0) m.c885 = Constraint(expr= - m.b530 + m.b531 - m.b595 <= 0) m.c886 = Constraint(expr= m.b532 - m.b596 <= 0) m.c887 = Constraint(expr= - m.b532 + m.b533 - m.b597 <= 0) m.c888 = Constraint(expr= m.x10 - m.x64 - m.x598 == 0) m.c889 = Constraint(expr= m.x11 - m.x65 - m.x599 == 0) m.c890 = Constraint(expr= m.x18 - m.x66 - m.x620 == 0) m.c891 = Constraint(expr= m.x19 - m.x67 - m.x621 == 0) m.c892 = Constraint(expr= m.x40 - m.x68 - m.x654 == 0) m.c893 = Constraint(expr= m.x41 - m.x69 - m.x655 == 0) m.c894 = Constraint(expr= m.x42 - m.x70 - m.x656 == 0) m.c895 = Constraint(expr= m.x43 - m.x71 - m.x657 == 0) m.c896 = Constraint(expr= m.x598 - m.x600 - m.x602 == 0) m.c897 = Constraint(expr= m.x599 - m.x601 - m.x603 == 0) m.c898 = Constraint(expr= - m.x604 - m.x606 + m.x608 == 0) m.c899 = Constraint(expr= - m.x605 - m.x607 + m.x609 == 0) m.c900 = Constraint(expr= m.x608 - m.x610 - m.x612 == 0) m.c901 = Constraint(expr= m.x609 - m.x611 - m.x613 == 0) m.c902 = Constraint(expr= m.x612 - m.x614 - m.x616 - m.x618 == 0) m.c903 = Constraint(expr= m.x613 - m.x615 - m.x617 - m.x619 == 0) m.c904 = Constraint(expr= m.x622 - m.x628 - m.x630 == 0) m.c905 = Constraint(expr= m.x623 - m.x629 - m.x631 == 0) m.c906 = Constraint(expr= m.x626 - m.x632 - m.x634 - m.x636 == 0) m.c907 = Constraint(expr= m.x627 - m.x633 - m.x635 - m.x637 == 0) m.c908 = Constraint(expr= m.x642 - m.x650 - m.x652 == 0) m.c909 = Constraint(expr= m.x643 - m.x651 - m.x653 == 0) m.c910 = Constraint(expr= - m.x644 - m.x656 + m.x658 == 0) m.c911 = Constraint(expr= - m.x645 - m.x657 + m.x659 == 0) m.c912 = Constraint(expr= m.x646 - m.x660 - m.x662 == 0) m.c913 = Constraint(expr= m.x647 - m.x661 - m.x663 == 0) m.c914 = Constraint(expr= m.x648 - m.x664 - m.x666 - m.x668 == 0) m.c915 = Constraint(expr= m.x649 - m.x665 - m.x667 - m.x669 == 0) m.c916 = Constraint(expr= m.x686 - m.x688 == 0) m.c917 = Constraint(expr= m.x687 - m.x689 == 0) m.c918 = Constraint(expr= m.x688 - m.x690 - m.x692 == 0) m.c919 = Constraint(expr= m.x689 - m.x691 - m.x693 == 0) m.c920 = Constraint(expr= - m.x694 - m.x696 + m.x698 == 0) m.c921 = Constraint(expr= - m.x695 - m.x697 + m.x699 == 0) m.c922 = Constraint(expr= m.x698 - m.x700 - m.x702 == 0) m.c923 = Constraint(expr= m.x699 - m.x701 - m.x703 == 0) m.c924 = Constraint(expr= m.x702 - m.x704 - m.x706 - m.x708 == 0) m.c925 = Constraint(expr= m.x703 - m.x705 - m.x707 - m.x709 == 0) m.c926 = Constraint(expr= m.x712 - m.x718 - m.x720 == 0) m.c927 = Constraint(expr= m.x713 - m.x719 - m.x721 == 0) m.c928 = Constraint(expr= m.x716 - m.x722 - m.x724 - m.x726 == 0) m.c929 = Constraint(expr= m.x717 - m.x723 - m.x725 - m.x727 == 0) m.c930 = Constraint(expr=(m.x746/(1e-6 + m.b994) - log(1 + m.x738/(1e-6 + m.b994)))*(1e-6 + m.b994) <= 0) m.c931 = Constraint(expr=(m.x747/(1e-6 + m.b995) - log(1 + m.x739/(1e-6 + m.b995)))*(1e-6 + m.b995) <= 0) m.c932 = Constraint(expr= m.x740 == 0) m.c933 = Constraint(expr= m.x741 == 0) m.c934 = Constraint(expr= m.x748 == 0) m.c935 = Constraint(expr= m.x749 == 0) m.c936 = Constraint(expr= m.x600 - m.x738 - m.x740 == 0) m.c937 = Constraint(expr= m.x601 - m.x739 - m.x741 == 0) m.c938 = Constraint(expr= m.x604 - m.x746 - m.x748 == 0) m.c939 = Constraint(expr= m.x605 - m.x747 - m.x749 == 0) m.c940 = Constraint(expr= m.x738 - 40*m.b994 <= 0) m.c941 = Constraint(expr= m.x739 - 40*m.b995 <= 0) m.c942 = Constraint(expr= m.x740 + 40*m.b994 <= 40) m.c943 = Constraint(expr= m.x741 + 40*m.b995 <= 40) m.c944 = Constraint(expr= m.x746 - 3.71357206670431*m.b994 <= 0) m.c945 = Constraint(expr= m.x747 - 3.71357206670431*m.b995 <= 0) m.c946 = Constraint(expr= m.x748 + 3.71357206670431*m.b994 <= 3.71357206670431) m.c947 = Constraint(expr= m.x749 + 3.71357206670431*m.b995 <= 3.71357206670431) m.c948 = Constraint(expr=(m.x750/(1e-6 + m.b996) - 1.2*log(1 + m.x742/(1e-6 + m.b996)))*(1e-6 + m.b996) <= 0) m.c949 = Constraint(expr=(m.x751/(1e-6 + m.b997) - 1.2*log(1 + m.x743/(1e-6 + m.b997)))*(1e-6 + m.b997) <= 0) m.c950 = Constraint(expr= m.x744 == 0) m.c951 = Constraint(expr= m.x745 == 0) m.c952 = Constraint(expr= m.x752 == 0) m.c953 = Constraint(expr= m.x753 == 0) m.c954 = Constraint(expr= m.x602 - m.x742 - m.x744 == 0) m.c955 = Constraint(expr= m.x603 - m.x743 - m.x745 == 0) m.c956 = Constraint(expr= m.x606 - m.x750 - m.x752 == 0) m.c957 = Constraint(expr= m.x607 - m.x751 - m.x753 == 0) m.c958 = Constraint(expr= m.x742 - 40*m.b996 <= 0) m.c959 = Constraint(expr= m.x743 - 40*m.b997 <= 0) m.c960 = Constraint(expr= m.x744 + 40*m.b996 <= 40) m.c961 = Constraint(expr= m.x745 + 40*m.b997 <= 40) m.c962 = Constraint(expr= m.x750 - 4.45628648004517*m.b996 <= 0) m.c963 = Constraint(expr= m.x751 - 4.45628648004517*m.b997 <= 0) m.c964 = Constraint(expr= m.x752 + 4.45628648004517*m.b996 <= 4.45628648004517) m.c965 = Constraint(expr= m.x753 + 4.45628648004517*m.b997 <= 4.45628648004517) m.c966 = Constraint(expr= - 0.75*m.x754 + m.x770 == 0) m.c967 = Constraint(expr= - 0.75*m.x755 + m.x771 == 0) m.c968 = Constraint(expr= m.x756 == 0) m.c969 = Constraint(expr= m.x757 == 0) m.c970 = Constraint(expr= m.x772 == 0) m.c971 = Constraint(expr= m.x773 == 0) m.c972 = Constraint(expr= m.x614 - m.x754 - m.x756 == 0) m.c973 = Constraint(expr= m.x615 - m.x755 - m.x757 == 0) m.c974 = Constraint(expr= m.x622 - m.x770 - m.x772 == 0) m.c975 = Constraint(expr= m.x623 - m.x771 - m.x773 == 0) m.c976 = Constraint(expr= m.x754 - 4.45628648004517*m.b998 <= 0) m.c977 = Constraint(expr= m.x755 - 4.45628648004517*m.b999 <= 0) m.c978 = Constraint(expr= m.x756 + 4.45628648004517*m.b998 <= 4.45628648004517) m.c979 = Constraint(expr= m.x757 + 4.45628648004517*m.b999 <= 4.45628648004517) m.c980 = Constraint(expr= m.x770 - 3.34221486003388*m.b998 <= 0) m.c981 = Constraint(expr= m.x771 - 3.34221486003388*m.b999 <= 0) m.c982 = Constraint(expr= m.x772 + 3.34221486003388*m.b998 <= 3.34221486003388) m.c983 = Constraint(expr= m.x773 + 3.34221486003388*m.b999 <= 3.34221486003388) m.c984 = Constraint(expr=(m.x774/(1e-6 + m.b1000) - 1.5*log(1 + m.x758/(1e-6 + m.b1000)))*(1e-6 + m.b1000) <= 0) m.c985 = Constraint(expr=(m.x775/(1e-6 + m.b1001) - 1.5*log(1 + m.x759/(1e-6 + m.b1001)))*(1e-6 + m.b1001) <= 0) m.c986 = Constraint(expr= m.x760 == 0) m.c987 = Constraint(expr= m.x761 == 0) m.c988 = Constraint(expr= m.x778 == 0) m.c989 = Constraint(expr= m.x779 == 0) m.c990 = Constraint(expr= m.x616 - m.x758 - m.x760 == 0) m.c991 = Constraint(expr= m.x617 - m.x759 - m.x761 == 0) m.c992 = Constraint(expr= m.x624 - m.x774 - m.x778 == 0) m.c993 = Constraint(expr= m.x625 - m.x775 - m.x779 == 0) m.c994 = Constraint(expr= m.x758 - 4.45628648004517*m.b1000 <= 0) m.c995 = Constraint(expr= m.x759 - 4.45628648004517*m.b1001 <= 0) m.c996 = Constraint(expr= m.x760 + 4.45628648004517*m.b1000 <= 4.45628648004517) m.c997 = Constraint(expr= m.x761 + 4.45628648004517*m.b1001 <= 4.45628648004517) m.c998 = Constraint(expr= m.x774 - 2.54515263975353*m.b1000 <= 0) m.c999 = Constraint(expr= m.x775 - 2.54515263975353*m.b1001 <= 0) m.c1000 = Constraint(expr= m.x778 + 2.54515263975353*m.b1000 <= 2.54515263975353) m.c1001 = Constraint(expr= m.x779 + 2.54515263975353*m.b1001 <= 2.54515263975353) m.c1002 = Constraint(expr= - m.x762 + m.x782 == 0) m.c1003 = Constraint(expr= - m.x763 + m.x783 == 0) m.c1004 = Constraint(expr= - 0.5*m.x766 + m.x782 == 0) m.c1005 = Constraint(expr= - 0.5*m.x767 + m.x783 == 0) m.c1006 = Constraint(expr= m.x764 == 0) m.c1007 = Constraint(expr= m.x765 == 0) m.c1008 = Constraint(expr= m.x768 == 0) m.c1009 = Constraint(expr= m.x769 == 0) m.c1010 = Constraint(expr= m.x784 == 0) m.c1011 = Constraint(expr= m.x785 == 0) m.c1012 = Constraint(expr= m.x618 - m.x762 - m.x764 == 0) m.c1013 = Constraint(expr= m.x619 - m.x763 - m.x765 == 0) m.c1014 = Constraint(expr= m.x620 - m.x766 - m.x768 == 0) m.c1015 = Constraint(expr= m.x621 - m.x767 - m.x769 == 0) m.c1016 = Constraint(expr= m.x626 - m.x782 - m.x784 == 0) m.c1017 = Constraint(expr= m.x627 - m.x783 - m.x785 == 0) m.c1018 = Constraint(expr= m.x762 - 4.45628648004517*m.b1002 <= 0) m.c1019 = Constraint(expr= m.x763 - 4.45628648004517*m.b1003 <= 0) m.c1020 = Constraint(expr= m.x764 + 4.45628648004517*m.b1002 <= 4.45628648004517) m.c1021 = Constraint(expr= m.x765 + 4.45628648004517*m.b1003 <= 4.45628648004517) m.c1022 = Constraint(expr= m.x766 - 30*m.b1002 <= 0) m.c1023 = Constraint(expr= m.x767 - 30*m.b1003 <= 0) m.c1024 = Constraint(expr= m.x768 + 30*m.b1002 <= 30) m.c1025 = Constraint(expr= m.x769 + 30*m.b1003 <= 30) m.c1026 = Constraint(expr= m.x782 - 15*m.b1002 <= 0) m.c1027 = Constraint(expr= m.x783 - 15*m.b1003 <= 0) m.c1028 = Constraint(expr= m.x784 + 15*m.b1002 <= 15) m.c1029 = Constraint(expr= m.x785 + 15*m.b1003 <= 15) m.c1030 = Constraint(expr=(m.x806/(1e-6 + m.b1004) - 1.25*log(1 + m.x786/(1e-6 + m.b1004)))*(1e-6 + m.b1004) <= 0) m.c1031 = Constraint(expr=(m.x807/(1e-6 + m.b1005) - 1.25*log(1 + m.x787/(1e-6 + m.b1005)))*(1e-6 + m.b1005) <= 0) m.c1032 = Constraint(expr= m.x788 == 0) m.c1033 = Constraint(expr= m.x789 == 0) m.c1034 = Constraint(expr= m.x810 == 0) m.c1035 = Constraint(expr= m.x811 == 0) m.c1036 = Constraint(expr= m.x628 - m.x786 - m.x788 == 0) m.c1037 = Constraint(expr= m.x629 - m.x787 - m.x789 == 0) m.c1038 = Constraint(expr= m.x638 - m.x806 - m.x810 == 0) m.c1039 = Constraint(expr= m.x639 - m.x807 - m.x811 == 0) m.c1040 = Constraint(expr= m.x786 - 3.34221486003388*m.b1004 <= 0) m.c1041 = Constraint(expr= m.x787 - 3.34221486003388*m.b1005 <= 0) m.c1042 = Constraint(expr= m.x788 + 3.34221486003388*m.b1004 <= 3.34221486003388) m.c1043 = Constraint(expr= m.x789 + 3.34221486003388*m.b1005 <= 3.34221486003388) m.c1044 = Constraint(expr= m.x806 - 1.83548069293539*m.b1004 <= 0) m.c1045 = Constraint(expr= m.x807 - 1.83548069293539*m.b1005 <= 0) m.c1046 = Constraint(expr= m.x810 + 1.83548069293539*m.b1004 <= 1.83548069293539) m.c1047 = Constraint(expr= m.x811 + 1.83548069293539*m.b1005 <= 1.83548069293539) m.c1048 = Constraint(expr=(m.x814/(1e-6 + m.b1006) - 0.9*log(1 + m.x790/(1e-6 + m.b1006)))*(1e-6 + m.b1006) <= 0) m.c1049 = Constraint(expr=(m.x815/(1e-6 + m.b1007) - 0.9*log(1 + m.x791/(1e-6 + m.b1007)))*(1e-6 + m.b1007) <= 0) m.c1050 = Constraint(expr= m.x792 == 0) m.c1051 = Constraint(expr= m.x793 == 0) m.c1052 = Constraint(expr= m.x818 == 0) m.c1053 = Constraint(expr= m.x819 == 0) m.c1054 = Constraint(expr= m.x630 - m.x790 - m.x792 == 0) m.c1055 = Constraint(expr= m.x631 - m.x791 - m.x793 == 0) m.c1056 = Constraint(expr= m.x640 - m.x814 - m.x818 == 0) m.c1057 = Constraint(expr= m.x641 - m.x815 - m.x819 == 0) m.c1058 = Constraint(expr= m.x790 - 3.34221486003388*m.b1006 <= 0) m.c1059 = Constraint(expr= m.x791 - 3.34221486003388*m.b1007 <= 0) m.c1060 = Constraint(expr= m.x792 + 3.34221486003388*m.b1006 <= 3.34221486003388) m.c1061 = Constraint(expr= m.x793 + 3.34221486003388*m.b1007 <= 3.34221486003388) m.c1062 = Constraint(expr= m.x814 - 1.32154609891348*m.b1006 <= 0) m.c1063 = Constraint(expr= m.x815 - 1.32154609891348*m.b1007 <= 0) m.c1064 = Constraint(expr= m.x818 + 1.32154609891348*m.b1006 <= 1.32154609891348) m.c1065 = Constraint(expr= m.x819 + 1.32154609891348*m.b1007 <= 1.32154609891348) m.c1066 = Constraint(expr=(m.x822/(1e-6 + m.b1008) - log(1 + m.x776/(1e-6 + m.b1008)))*(1e-6 + m.b1008) <= 0) m.c1067 = Constraint(expr=(m.x823/(1e-6 + m.b1009) - log(1 + m.x777/(1e-6 + m.b1009)))*(1e-6 + m.b1009) <= 0) m.c1068 = Constraint(expr= m.x780 == 0) m.c1069 = Constraint(expr= m.x781 == 0) m.c1070 = Constraint(expr= m.x824 == 0) m.c1071 = Constraint(expr= m.x825 == 0) m.c1072 = Constraint(expr= m.x624 - m.x776 - m.x780 == 0) m.c1073 = Constraint(expr= m.x625 - m.x777 - m.x781 == 0) m.c1074 = Constraint(expr= m.x642 - m.x822 - m.x824 == 0) m.c1075 = Constraint(expr= m.x643 - m.x823 - m.x825 == 0) m.c1076 = Constraint(expr= m.x776 - 2.54515263975353*m.b1008 <= 0) m.c1077 = Constraint(expr= m.x777 - 2.54515263975353*m.b1009 <= 0) m.c1078 = Constraint(expr= m.x780 + 2.54515263975353*m.b1008 <= 2.54515263975353) m.c1079 = Constraint(expr= m.x781 + 2.54515263975353*m.b1009 <= 2.54515263975353) m.c1080 = Constraint(expr= m.x822 - 1.26558121681553*m.b1008 <= 0) m.c1081 = Constraint(expr= m.x823 - 1.26558121681553*m.b1009 <= 0) m.c1082 = Constraint(expr= m.x824 + 1.26558121681553*m.b1008 <= 1.26558121681553) m.c1083 = Constraint(expr= m.x825 + 1.26558121681553*m.b1009 <= 1.26558121681553) m.c1084 = Constraint(expr= - 0.9*m.x794 + m.x826 == 0) m.c1085 = Constraint(expr= - 0.9*m.x795 + m.x827 == 0) m.c1086 = Constraint(expr= m.x796 == 0) m.c1087 = Constraint(expr= m.x797 == 0) m.c1088 = Constraint(expr= m.x828 == 0) m.c1089 = Constraint(expr= m.x829 == 0) m.c1090 = Constraint(expr= m.x632 - m.x794 - m.x796 == 0) m.c1091 = Constraint(expr= m.x633 - m.x795 - m.x797 == 0) m.c1092 = Constraint(expr= m.x644 - m.x826 - m.x828 == 0) m.c1093 = Constraint(expr= m.x645 - m.x827 - m.x829 == 0) m.c1094 = Constraint(expr= m.x794 - 15*m.b1010 <= 0) m.c1095 = Constraint(expr= m.x795 - 15*m.b1011 <= 0) m.c1096 = Constraint(expr= m.x796 + 15*m.b1010 <= 15) m.c1097 = Constraint(expr= m.x797 + 15*m.b1011 <= 15) m.c1098 = Constraint(expr= m.x826 - 13.5*m.b1010 <= 0) m.c1099 = Constraint(expr= m.x827 - 13.5*m.b1011 <= 0) m.c1100 = Constraint(expr= m.x828 + 13.5*m.b1010 <= 13.5) m.c1101 = Constraint(expr= m.x829 + 13.5*m.b1011 <= 13.5) m.c1102 = Constraint(expr= - 0.6*m.x798 + m.x830 == 0) m.c1103 = Constraint(expr= - 0.6*m.x799 + m.x831 == 0) m.c1104 = Constraint(expr= m.x800 == 0) m.c1105 = Constraint(expr= m.x801 == 0) m.c1106 = Constraint(expr= m.x832 == 0) m.c1107 = Constraint(expr= m.x833 == 0) m.c1108 = Constraint(expr= m.x634 - m.x798 - m.x800 == 0) m.c1109 = Constraint(expr= m.x635 - m.x799 - m.x801 == 0) m.c1110 = Constraint(expr= m.x646 - m.x830 - m.x832 == 0) m.c1111 = Constraint(expr= m.x647 - m.x831 - m.x833 == 0) m.c1112 = Constraint(expr= m.x798 - 15*m.b1012 <= 0) m.c1113 = Constraint(expr= m.x799 - 15*m.b1013 <= 0) m.c1114 = Constraint(expr= m.x800 + 15*m.b1012 <= 15) m.c1115 = Constraint(expr= m.x801 + 15*m.b1013 <= 15) m.c1116 = Constraint(expr= m.x830 - 9*m.b1012 <= 0) m.c1117 = Constraint(expr= m.x831 - 9*m.b1013 <= 0) m.c1118 = Constraint(expr= m.x832 + 9*m.b1012 <= 9) m.c1119 = Constraint(expr= m.x833 + 9*m.b1013 <= 9) m.c1120 = Constraint(expr=(m.x834/(1e-6 + m.b1014) - 1.1*log(1 + m.x802/(1e-6 + m.b1014)))*(1e-6 + m.b1014) <= 0) m.c1121 = Constraint(expr=(m.x835/(1e-6 + m.b1015) - 1.1*log(1 + m.x803/(1e-6 + m.b1015)))*(1e-6 + m.b1015) <= 0) m.c1122 = Constraint(expr= m.x804 == 0) m.c1123 = Constraint(expr= m.x805 == 0) m.c1124 = Constraint(expr= m.x836 == 0) m.c1125 = Constraint(expr= m.x837 == 0) m.c1126 = Constraint(expr= m.x636 - m.x802 - m.x804 == 0) m.c1127 = Constraint(expr= m.x637 - m.x803 - m.x805 == 0) m.c1128 = Constraint(expr= m.x648 - m.x834 - m.x836 == 0) m.c1129 = Constraint(expr= m.x649 - m.x835 - m.x837 == 0) m.c1130 = Constraint(expr= m.x802 - 15*m.b1014 <= 0) m.c1131 = Constraint(expr= m.x803 - 15*m.b1015 <= 0) m.c1132 = Constraint(expr= m.x804 + 15*m.b1014 <= 15) m.c1133 = Constraint(expr= m.x805 + 15*m.b1015 <= 15) m.c1134 = Constraint(expr= m.x834 - 3.04984759446376*m.b1014 <= 0) m.c1135 = Constraint(expr= m.x835 - 3.04984759446376*m.b1015 <= 0) m.c1136 = Constraint(expr= m.x836 + 3.04984759446376*m.b1014 <= 3.04984759446376) m.c1137 = Constraint(expr= m.x837 + 3.04984759446376*m.b1015 <= 3.04984759446376) m.c1138 = Constraint(expr= - 0.9*m.x808 + m.x874 == 0) m.c1139 = Constraint(expr= - 0.9*m.x809 + m.x875 == 0) m.c1140 = Constraint(expr= - m.x846 + m.x874 == 0) m.c1141 = Constraint(expr= - m.x847 + m.x875 == 0) m.c1142 = Constraint(expr= m.x812 == 0) m.c1143 = Constraint(expr= m.x813 == 0) m.c1144 = Constraint(expr= m.x848 == 0) m.c1145 = Constraint(expr= m.x849 == 0) m.c1146 = Constraint(expr= m.x876 == 0) m.c1147 = Constraint(expr= m.x877 == 0) m.c1148 = Constraint(expr= m.x638 - m.x808 - m.x812 == 0) m.c1149 = Constraint(expr= m.x639 - m.x809 - m.x813 == 0) m.c1150 = Constraint(expr= m.x654 - m.x846 - m.x848 == 0) m.c1151 = Constraint(expr= m.x655 - m.x847 - m.x849 == 0) m.c1152 = Constraint(expr= m.x670 - m.x874 - m.x876 == 0) m.c1153 = Constraint(expr= m.x671 - m.x875 - m.x877 == 0) m.c1154 = Constraint(expr= m.x808 - 1.83548069293539*m.b1016 <= 0) m.c1155 = Constraint(expr= m.x809 - 1.83548069293539*m.b1017 <= 0) m.c1156 = Constraint(expr= m.x812 + 1.83548069293539*m.b1016 <= 1.83548069293539) m.c1157 = Constraint(expr= m.x813 + 1.83548069293539*m.b1017 <= 1.83548069293539) m.c1158 = Constraint(expr= m.x846 - 20*m.b1016 <= 0) m.c1159 = Constraint(expr= m.x847 - 20*m.b1017 <= 0) m.c1160 = Constraint(expr= m.x848 + 20*m.b1016 <= 20) m.c1161 = Constraint(expr= m.x849 + 20*m.b1017 <= 20) m.c1162 = Constraint(expr= m.x874 - 20*m.b1016 <= 0) m.c1163 = Constraint(expr= m.x875 - 20*m.b1017 <= 0) m.c1164 = Constraint(expr= m.x876 + 20*m.b1016 <= 20) m.c1165 = Constraint(expr= m.x877 + 20*m.b1017 <= 20) m.c1166 = Constraint(expr=(m.x878/(1e-6 + m.b1018) - log(1 + m.x816/(1e-6 + m.b1018)))*(1e-6 + m.b1018) <= 0) m.c1167 = Constraint(expr=(m.x879/(1e-6 + m.b1019) - log(1 + m.x817/(1e-6 + m.b1019)))*(1e-6 + m.b1019) <= 0) m.c1168 = Constraint(expr= m.x820 == 0) m.c1169 = Constraint(expr= m.x821 == 0) m.c1170 = Constraint(expr= m.x880 == 0) m.c1171 = Constraint(expr= m.x881 == 0) m.c1172 = Constraint(expr= m.x640 - m.x816 - m.x820 == 0) m.c1173 = Constraint(expr= m.x641 - m.x817 - m.x821 == 0) m.c1174 = Constraint(expr= m.x672 - m.x878 - m.x880 == 0) m.c1175 = Constraint(expr= m.x673 - m.x879 - m.x881 == 0) m.c1176 = Constraint(expr= m.x816 - 1.32154609891348*m.b1018 <= 0) m.c1177 = Constraint(expr= m.x817 - 1.32154609891348*m.b1019 <= 0) m.c1178 = Constraint(expr= m.x820 + 1.32154609891348*m.b1018 <= 1.32154609891348) m.c1179 = Constraint(expr= m.x821 + 1.32154609891348*m.b1019 <= 1.32154609891348) m.c1180 = Constraint(expr= m.x878 - 0.842233385663186*m.b1018 <= 0) m.c1181 = Constraint(expr= m.x879 - 0.842233385663186*m.b1019 <= 0) m.c1182 = Constraint(expr= m.x880 + 0.842233385663186*m.b1018 <= 0.842233385663186) m.c1183 = Constraint(expr= m.x881 + 0.842233385663186*m.b1019 <= 0.842233385663186) m.c1184 = Constraint(expr=(m.x882/(1e-6 + m.b1020) - 0.7*log(1 + m.x838/(1e-6 + m.b1020)))*(1e-6 + m.b1020) <= 0) m.c1185 = Constraint(expr=(m.x883/(1e-6 + m.b1021) - 0.7*log(1 + m.x839/(1e-6 + m.b1021)))*(1e-6 + m.b1021) <= 0) m.c1186 = Constraint(expr= m.x840 == 0) m.c1187 = Constraint(expr= m.x841 == 0) m.c1188 = Constraint(expr= m.x884 == 0) m.c1189 = Constraint(expr= m.x885 == 0) m.c1190 = Constraint(expr= m.x650 - m.x838 - m.x840 == 0) m.c1191 = Constraint(expr= m.x651 - m.x839 - m.x841 == 0) m.c1192 = Constraint(expr= m.x674 - m.x882 - m.x884 == 0) m.c1193 = Constraint(expr= m.x675 - m.x883 - m.x885 == 0) m.c1194 = Constraint(expr= m.x838 - 1.26558121681553*m.b1020 <= 0) m.c1195 = Constraint(expr= m.x839 - 1.26558121681553*m.b1021 <= 0) m.c1196 = Constraint(expr= m.x840 + 1.26558121681553*m.b1020 <= 1.26558121681553) m.c1197 = Constraint(expr= m.x841 + 1.26558121681553*m.b1021 <= 1.26558121681553) m.c1198 = Constraint(expr= m.x882 - 0.572481933717686*m.b1020 <= 0) m.c1199 = Constraint(expr= m.x883 - 0.572481933717686*m.b1021 <= 0) m.c1200 = Constraint(expr= m.x884 + 0.572481933717686*m.b1020 <= 0.572481933717686) m.c1201 = Constraint(expr= m.x885 + 0.572481933717686*m.b1021 <= 0.572481933717686) m.c1202 = Constraint(expr=(m.x886/(1e-6 + m.b1022) - 0.65*log(1 + m.x842/(1e-6 + m.b1022)))*(1e-6 + m.b1022) <= 0) m.c1203 = Constraint(expr=(m.x887/(1e-6 + m.b1023) - 0.65*log(1 + m.x843/(1e-6 + m.b1023)))*(1e-6 + m.b1023) <= 0) m.c1204 = Constraint(expr=(m.x886/(1e-6 + m.b1022) - 0.65*log(1 + m.x850/(1e-6 + m.b1022)))*(1e-6 + m.b1022) <= 0) m.c1205 = Constraint(expr=(m.x887/(1e-6 + m.b1023) - 0.65*log(1 + m.x851/(1e-6 + m.b1023)))*(1e-6 + m.b1023) <= 0) m.c1206 = Constraint(expr= m.x844 == 0) m.c1207 = Constraint(expr= m.x845 == 0) m.c1208 = Constraint(expr= m.x852 == 0) m.c1209 = Constraint(expr= m.x853 == 0) m.c1210 = Constraint(expr= m.x888 == 0) m.c1211 = Constraint(expr= m.x889 == 0) m.c1212 = Constraint(expr= m.x652 - m.x842 - m.x844 == 0) m.c1213 = Constraint(expr= m.x653 - m.x843 - m.x845 == 0) m.c1214 = Constraint(expr= m.x658 - m.x850 - m.x852 == 0) m.c1215 = Constraint(expr= m.x659 - m.x851 - m.x853 == 0) m.c1216 = Constraint(expr= m.x676 - m.x886 - m.x888 == 0) m.c1217 = Constraint(expr= m.x677 - m.x887 - m.x889 == 0) m.c1218 = Constraint(expr= m.x842 - 1.26558121681553*m.b1022 <= 0) m.c1219 = Constraint(expr= m.x843 - 1.26558121681553*m.b1023 <= 0) m.c1220 = Constraint(expr= m.x844 + 1.26558121681553*m.b1022 <= 1.26558121681553) m.c1221 = Constraint(expr= m.x845 + 1.26558121681553*m.b1023 <= 1.26558121681553) m.c1222 = Constraint(expr= m.x850 - 33.5*m.b1022 <= 0) m.c1223 = Constraint(expr= m.x851 - 33.5*m.b1023 <= 0) m.c1224 = Constraint(expr= m.x852 + 33.5*m.b1022 <= 33.5) m.c1225 = Constraint(expr= m.x853 + 33.5*m.b1023 <= 33.5) m.c1226 = Constraint(expr= m.x886 - 2.30162356062425*m.b1022 <= 0) m.c1227 = Constraint(expr= m.x887 - 2.30162356062425*m.b1023 <= 0) m.c1228 = Constraint(expr= m.x888 + 2.30162356062425*m.b1022 <= 2.30162356062425) m.c1229 = Constraint(expr= m.x889 + 2.30162356062425*m.b1023 <= 2.30162356062425) m.c1230 = Constraint(expr= - m.x854 + m.x890 == 0) m.c1231 = Constraint(expr= - m.x855 + m.x891 == 0) m.c1232 = Constraint(expr= m.x856 == 0) m.c1233 = Constraint(expr= m.x857 == 0) m.c1234 = Constraint(expr= m.x892 == 0) m.c1235 = Constraint(expr= m.x893 == 0) m.c1236 = Constraint(expr= m.x660 - m.x854 - m.x856 == 0) m.c1237 = Constraint(expr= m.x661 - m.x855 - m.x857 == 0) m.c1238 = Constraint(expr= m.x678 - m.x890 - m.x892 == 0) m.c1239 = Constraint(expr= m.x679 - m.x891 - m.x893 == 0) m.c1240 = Constraint(expr= m.x854 - 9*m.b1024 <= 0) m.c1241 = Constraint(expr= m.x855 - 9*m.b1025 <= 0) m.c1242 = Constraint(expr= m.x856 + 9*m.b1024 <= 9) m.c1243 = Constraint(expr= m.x857 + 9*m.b1025 <= 9) m.c1244 = Constraint(expr= m.x890 - 9*m.b1024 <= 0) m.c1245 = Constraint(expr= m.x891 - 9*m.b1025 <= 0) m.c1246 = Constraint(expr= m.x892 + 9*m.b1024 <= 9) m.c1247 = Constraint(expr= m.x893 + 9*m.b1025 <= 9) m.c1248 = Constraint(expr= - m.x858 + m.x894 == 0) m.c1249 = Constraint(expr= - m.x859 + m.x895 == 0) m.c1250 = Constraint(expr= m.x860 == 0) m.c1251 = Constraint(expr= m.x861 == 0) m.c1252 = Constraint(expr= m.x896 == 0) m.c1253 = Constraint(expr= m.x897 == 0) m.c1254 = Constraint(expr= m.x662 - m.x858 - m.x860 == 0) m.c1255 = Constraint(expr= m.x663 - m.x859 - m.x861 == 0) m.c1256 = Constraint(expr= m.x680 - m.x894 - m.x896 == 0) m.c1257 = Constraint(expr= m.x681 - m.x895 - m.x897 == 0) m.c1258 = Constraint(expr= m.x858 - 9*m.b1026 <= 0) m.c1259 = Constraint(expr= m.x859 - 9*m.b1027 <= 0) m.c1260 = Constraint(expr= m.x860 + 9*m.b1026 <= 9) m.c1261 = Constraint(expr= m.x861 + 9*m.b1027 <= 9) m.c1262 = Constraint(expr= m.x894 - 9*m.b1026 <= 0) m.c1263 = Constraint(expr= m.x895 - 9*m.b1027 <= 0) m.c1264 = Constraint(expr= m.x896 + 9*m.b1026 <= 9) m.c1265 = Constraint(expr= m.x897 + 9*m.b1027 <= 9) m.c1266 = Constraint(expr=(m.x898/(1e-6 + m.b1028) - 0.75*log(1 + m.x862/(1e-6 + m.b1028)))*(1e-6 + m.b1028) <= 0) m.c1267 = Constraint(expr=(m.x899/(1e-6 + m.b1029) - 0.75*log(1 + m.x863/(1e-6 + m.b1029)))*(1e-6 + m.b1029) <= 0) m.c1268 = Constraint(expr= m.x864 == 0) m.c1269 = Constraint(expr= m.x865 == 0) m.c1270 = Constraint(expr= m.x900 == 0) m.c1271 = Constraint(expr= m.x901 == 0) m.c1272 = Constraint(expr= m.x664 - m.x862 - m.x864 == 0) m.c1273 = Constraint(expr= m.x665 - m.x863 - m.x865 == 0) m.c1274 = Constraint(expr= m.x682 - m.x898 - m.x900 == 0) m.c1275 = Constraint(expr= m.x683 - m.x899 - m.x901 == 0) m.c1276 = Constraint(expr= m.x862 - 3.04984759446376*m.b1028 <= 0) m.c1277 = Constraint(expr= m.x863 - 3.04984759446376*m.b1029 <= 0) m.c1278 = Constraint(expr= m.x864 + 3.04984759446376*m.b1028 <= 3.04984759446376) m.c1279 = Constraint(expr= m.x865 + 3.04984759446376*m.b1029 <= 3.04984759446376) m.c1280 = Constraint(expr= m.x898 - 1.04900943706034*m.b1028 <= 0) m.c1281 = Constraint(expr= m.x899 - 1.04900943706034*m.b1029 <= 0) m.c1282 = Constraint(expr= m.x900 + 1.04900943706034*m.b1028 <= 1.04900943706034) m.c1283 = Constraint(expr= m.x901 + 1.04900943706034*m.b1029 <= 1.04900943706034) m.c1284 = Constraint(expr=(m.x902/(1e-6 + m.b1030) - 0.8*log(1 + m.x866/(1e-6 + m.b1030)))*(1e-6 + m.b1030) <= 0) m.c1285 = Constraint(expr=(m.x903/(1e-6 + m.b1031) - 0.8*log(1 + m.x867/(1e-6 + m.b1031)))*(1e-6 + m.b1031) <= 0) m.c1286 = Constraint(expr= m.x868 == 0) m.c1287 = Constraint(expr= m.x869 == 0) m.c1288 = Constraint(expr= m.x904 == 0) m.c1289 = Constraint(expr= m.x905 == 0) m.c1290 = Constraint(expr= m.x666 - m.x866 - m.x868 == 0) m.c1291 = Constraint(expr= m.x667 - m.x867 - m.x869 == 0) m.c1292 = Constraint(expr= m.x684 - m.x902 - m.x904 == 0) m.c1293 = Constraint(expr= m.x685 - m.x903 - m.x905 == 0) m.c1294 = Constraint(expr= m.x866 - 3.04984759446376*m.b1030 <= 0) m.c1295 = Constraint(expr= m.x867 - 3.04984759446376*m.b1031 <= 0) m.c1296 = Constraint(expr= m.x868 + 3.04984759446376*m.b1030 <= 3.04984759446376) m.c1297 = Constraint(expr= m.x869 + 3.04984759446376*m.b1031 <= 3.04984759446376) m.c1298 = Constraint(expr= m.x902 - 1.11894339953103*m.b1030 <= 0) m.c1299 = Constraint(expr= m.x903 - 1.11894339953103*m.b1031 <= 0) m.c1300 = Constraint(expr= m.x904 + 1.11894339953103*m.b1030 <= 1.11894339953103) m.c1301 = Constraint(expr= m.x905 + 1.11894339953103*m.b1031 <= 1.11894339953103) m.c1302 = Constraint(expr=(m.x906/(1e-6 + m.b1032) - 0.85*log(1 + m.x870/(1e-6 + m.b1032)))*(1e-6 + m.b1032) <= 0) m.c1303 = Constraint(expr=(m.x907/(1e-6 + m.b1033) - 0.85*log(1 + m.x871/(1e-6 + m.b1033)))*(1e-6 + m.b1033) <= 0) m.c1304 = Constraint(expr= m.x872 == 0) m.c1305 = Constraint(expr= m.x873 == 0) m.c1306 = Constraint(expr= m.x908 == 0) m.c1307 = Constraint(expr= m.x909 == 0) m.c1308 = Constraint(expr= m.x668 - m.x870 - m.x872 == 0) m.c1309 = Constraint(expr= m.x669 - m.x871 - m.x873 == 0) m.c1310 = Constraint(expr= m.x686 - m.x906 - m.x908 == 0) m.c1311 = Constraint(expr= m.x687 - m.x907 - m.x909 == 0) m.c1312 = Constraint(expr= m.x870 - 3.04984759446376*m.b1032 <= 0) m.c1313 = Constraint(expr= m.x871 - 3.04984759446376*m.b1033 <= 0) m.c1314 = Constraint(expr= m.x872 + 3.04984759446376*m.b1032 <= 3.04984759446376) m.c1315 = Constraint(expr= m.x873 + 3.04984759446376*m.b1033 <= 3.04984759446376) m.c1316 = Constraint(expr= m.x906 - 1.18887736200171*m.b1032 <= 0) m.c1317 = Constraint(expr= m.x907 - 1.18887736200171*m.b1033 <= 0) m.c1318 = Constraint(expr= m.x908 + 1.18887736200171*m.b1032 <= 1.18887736200171) m.c1319 = Constraint(expr= m.x909 + 1.18887736200171*m.b1033 <= 1.18887736200171) m.c1320 = Constraint(expr=(m.x918/(1e-6 + m.b1034) - log(1 + m.x910/(1e-6 + m.b1034)))*(1e-6 + m.b1034) <= 0) m.c1321 = Constraint(expr=(m.x919/(1e-6 + m.b1035) - log(1 + m.x911/(1e-6 + m.b1035)))*(1e-6 + m.b1035) <= 0) m.c1322 = Constraint(expr= m.x912 == 0) m.c1323 = Constraint(expr= m.x913 == 0) m.c1324 = Constraint(expr= m.x920 == 0) m.c1325 = Constraint(expr= m.x921 == 0) m.c1326 = Constraint(expr= m.x690 - m.x910 - m.x912 == 0) m.c1327 = Constraint(expr= m.x691 - m.x911 - m.x913 == 0) m.c1328 = Constraint(expr= m.x694 - m.x918 - m.x920 == 0) m.c1329 = Constraint(expr= m.x695 - m.x919 - m.x921 == 0) m.c1330 = Constraint(expr= m.x910 - 1.18887736200171*m.b1034 <= 0) m.c1331 = Constraint(expr= m.x911 - 1.18887736200171*m.b1035 <= 0) m.c1332 = Constraint(expr= m.x912 + 1.18887736200171*m.b1034 <= 1.18887736200171) m.c1333 = Constraint(expr= m.x913 + 1.18887736200171*m.b1035 <= 1.18887736200171) m.c1334 = Constraint(expr= m.x918 - 0.78338879230327*m.b1034 <= 0) m.c1335 = Constraint(expr= m.x919 - 0.78338879230327*m.b1035 <= 0) m.c1336 = Constraint(expr= m.x920 + 0.78338879230327*m.b1034 <= 0.78338879230327) m.c1337 = Constraint(expr= m.x921 + 0.78338879230327*m.b1035 <= 0.78338879230327) m.c1338 = Constraint(expr=(m.x922/(1e-6 + m.b1036) - 1.2*log(1 + m.x914/(1e-6 + m.b1036)))*(1e-6 + m.b1036) <= 0) m.c1339 = Constraint(expr=(m.x923/(1e-6 + m.b1037) - 1.2*log(1 + m.x915/(1e-6 + m.b1037)))*(1e-6 + m.b1037) <= 0) m.c1340 = Constraint(expr= m.x916 == 0) m.c1341 = Constraint(expr= m.x917 == 0) m.c1342 = Constraint(expr= m.x924 == 0) m.c1343 = Constraint(expr= m.x925 == 0) m.c1344 = Constraint(expr= m.x692 - m.x914 - m.x916 == 0) m.c1345 = Constraint(expr= m.x693 - m.x915 - m.x917 == 0) m.c1346 = Constraint(expr= m.x696 - m.x922 - m.x924 == 0) m.c1347 = Constraint(expr= m.x697 - m.x923 - m.x925 == 0) m.c1348 = Constraint(expr= m.x914 - 1.18887736200171*m.b1036 <= 0) m.c1349 = Constraint(expr= m.x915 - 1.18887736200171*m.b1037 <= 0) m.c1350 = Constraint(expr= m.x916 + 1.18887736200171*m.b1036 <= 1.18887736200171) m.c1351 = Constraint(expr= m.x917 + 1.18887736200171*m.b1037 <= 1.18887736200171) m.c1352 = Constraint(expr= m.x922 - 0.940066550763924*m.b1036 <= 0) m.c1353 = Constraint(expr= m.x923 - 0.940066550763924*m.b1037 <= 0) m.c1354 = Constraint(expr= m.x924 + 0.940066550763924*m.b1036 <= 0.940066550763924) m.c1355 = Constraint(expr= m.x925 + 0.940066550763924*m.b1037 <= 0.940066550763924) m.c1356 = Constraint(expr= - 0.75*m.x926 + m.x942 == 0) m.c1357 = Constraint(expr= - 0.75*m.x927 + m.x943 == 0) m.c1358 = Constraint(expr= m.x928 == 0) m.c1359 = Constraint(expr= m.x929 == 0) m.c1360 = Constraint(expr= m.x944 == 0) m.c1361 = Constraint(expr= m.x945 == 0) m.c1362 = Constraint(expr= m.x704 - m.x926 - m.x928 == 0) m.c1363 = Constraint(expr= m.x705 - m.x927 - m.x929 == 0) m.c1364 = Constraint(expr= m.x712 - m.x942 - m.x944 == 0) m.c1365 = Constraint(expr= m.x713 - m.x943 - m.x945 == 0) m.c1366 = Constraint(expr= m.x926 - 0.940066550763924*m.b1038 <= 0) m.c1367 = Constraint(expr= m.x927 - 0.940066550763924*m.b1039 <= 0) m.c1368 = Constraint(expr= m.x928 + 0.940066550763924*m.b1038 <= 0.940066550763924) m.c1369 = Constraint(expr= m.x929 + 0.940066550763924*m.b1039 <= 0.940066550763924) m.c1370 = Constraint(expr= m.x942 - 0.705049913072943*m.b1038 <= 0) m.c1371 = Constraint(expr= m.x943 - 0.705049913072943*m.b1039 <= 0) m.c1372 = Constraint(expr= m.x944 + 0.705049913072943*m.b1038 <= 0.705049913072943) m.c1373 = Constraint(expr= m.x945 + 0.705049913072943*m.b1039 <= 0.705049913072943) m.c1374 = Constraint(expr=(m.x946/(1e-6 + m.b1040) - 1.5*log(1 + m.x930/(1e-6 + m.b1040)))*(1e-6 + m.b1040) <= 0) m.c1375 = Constraint(expr=(m.x947/(1e-6 + m.b1041) - 1.5*log(1 + m.x931/(1e-6 + m.b1041)))*(1e-6 + m.b1041) <= 0) m.c1376 = Constraint(expr= m.x932 == 0) m.c1377 = Constraint(expr= m.x933 == 0) m.c1378 = Constraint(expr= m.x950 == 0) m.c1379 = Constraint(expr= m.x951 == 0) m.c1380 = Constraint(expr= m.x706 - m.x930 - m.x932 == 0) m.c1381 = Constraint(expr= m.x707 - m.x931 - m.x933 == 0) m.c1382 = Constraint(expr= m.x714 - m.x946 - m.x950 == 0) m.c1383 = Constraint(expr= m.x715 - m.x947 - m.x951 == 0) m.c1384 = Constraint(expr= m.x930 - 0.940066550763924*m.b1040 <= 0) m.c1385 = Constraint(expr= m.x931 - 0.940066550763924*m.b1041 <= 0) m.c1386 = Constraint(expr= m.x932 + 0.940066550763924*m.b1040 <= 0.940066550763924) m.c1387 = Constraint(expr= m.x933 + 0.940066550763924*m.b1041 <= 0.940066550763924) m.c1388 = Constraint(expr= m.x946 - 0.994083415506506*m.b1040 <= 0) m.c1389 = Constraint(expr= m.x947 - 0.994083415506506*m.b1041 <= 0) m.c1390 = Constraint(expr= m.x950 + 0.994083415506506*m.b1040 <= 0.994083415506506) m.c1391 = Constraint(expr= m.x951 + 0.994083415506506*m.b1041 <= 0.994083415506506) m.c1392 = Constraint(expr= - m.x934 + m.x954 == 0) m.c1393 = Constraint(expr= - m.x935 + m.x955 == 0) m.c1394 = Constraint(expr= - 0.5*m.x938 + m.x954 == 0) m.c1395 = Constraint(expr= - 0.5*m.x939 + m.x955 == 0) m.c1396 = Constraint(expr= m.x936 == 0) m.c1397 = Constraint(expr= m.x937 == 0) m.c1398 = Constraint(expr= m.x940 == 0) m.c1399 = Constraint(expr= m.x941 == 0) m.c1400 = Constraint(expr= m.x956 == 0) m.c1401 = Constraint(expr= m.x957 == 0) m.c1402 = Constraint(expr= m.x708 - m.x934 - m.x936 == 0) m.c1403 = Constraint(expr= m.x709 - m.x935 - m.x937 == 0) m.c1404 = Constraint(expr= m.x710 - m.x938 - m.x940 == 0) m.c1405 = Constraint(expr= m.x711 - m.x939 - m.x941 == 0) m.c1406 = Constraint(expr= m.x716 - m.x954 - m.x956 == 0) m.c1407 = Constraint(expr= m.x717 - m.x955 - m.x957 == 0) m.c1408 = Constraint(expr= m.x934 - 0.940066550763924*m.b1042 <= 0) m.c1409 = Constraint(expr= m.x935 - 0.940066550763924*m.b1043 <= 0) m.c1410 = Constraint(expr= m.x936 + 0.940066550763924*m.b1042 <= 0.940066550763924) m.c1411 = Constraint(expr= m.x937 + 0.940066550763924*m.b1043 <= 0.940066550763924) m.c1412 = Constraint(expr= m.x938 - 30*m.b1042 <= 0) m.c1413 = Constraint(expr= m.x939 - 30*m.b1043 <= 0) m.c1414 = Constraint(expr= m.x940 + 30*m.b1042 <= 30) m.c1415 = Constraint(expr= m.x941 + 30*m.b1043 <= 30) m.c1416 = Constraint(expr= m.x954 - 15*m.b1042 <= 0) m.c1417 = Constraint(expr= m.x955 - 15*m.b1043 <= 0) m.c1418 = Constraint(expr= m.x956 + 15*m.b1042 <= 15) m.c1419 = Constraint(expr= m.x957 + 15*m.b1043 <= 15) m.c1420 = Constraint(expr=(m.x974/(1e-6 + m.b1044) - 1.25*log(1 + m.x958/(1e-6 + m.b1044)))*(1e-6 + m.b1044) <= 0) m.c1421 = Constraint(expr=(m.x975/(1e-6 + m.b1045) - 1.25*log(1 + m.x959/(1e-6 + m.b1045)))*(1e-6 + m.b1045) <= 0) m.c1422 = Constraint(expr= m.x960 == 0) m.c1423 = Constraint(expr= m.x961 == 0) m.c1424 = Constraint(expr= m.x976 == 0) m.c1425 = Constraint(expr= m.x977 == 0) m.c1426 = Constraint(expr= m.x718 - m.x958 - m.x960 == 0) m.c1427 = Constraint(expr= m.x719 - m.x959 - m.x961 == 0) m.c1428 = Constraint(expr= m.x728 - m.x974 - m.x976 == 0) m.c1429 = Constraint(expr= m.x729 - m.x975 - m.x977 == 0) m.c1430 = Constraint(expr= m.x958 - 0.705049913072943*m.b1044 <= 0) m.c1431 = Constraint(expr= m.x959 - 0.705049913072943*m.b1045 <= 0) m.c1432 = Constraint(expr= m.x960 + 0.705049913072943*m.b1044 <= 0.705049913072943) m.c1433 = Constraint(expr= m.x961 + 0.705049913072943*m.b1045 <= 0.705049913072943) m.c1434 = Constraint(expr= m.x974 - 0.666992981045719*m.b1044 <= 0) m.c1435 = Constraint(expr= m.x975 - 0.666992981045719*m.b1045 <= 0) m.c1436 = Constraint(expr= m.x976 + 0.666992981045719*m.b1044 <= 0.666992981045719) m.c1437 = Constraint(expr= m.x977 + 0.666992981045719*m.b1045 <= 0.666992981045719) m.c1438 = Constraint(expr=(m.x978/(1e-6 + m.b1046) - 0.9*log(1 + m.x962/(1e-6 + m.b1046)))*(1e-6 + m.b1046) <= 0) m.c1439 = Constraint(expr=(m.x979/(1e-6 + m.b1047) - 0.9*log(1 + m.x963/(1e-6 + m.b1047)))*(1e-6 + m.b1047) <= 0) m.c1440 = Constraint(expr= m.x964 == 0) m.c1441 = Constraint(expr= m.x965 == 0) m.c1442 = Constraint(expr= m.x980 == 0) m.c1443 = Constraint(expr= m.x981 == 0) m.c1444 = Constraint(expr= m.x720 - m.x962 - m.x964 == 0) m.c1445 = Constraint(expr= m.x721 - m.x963 - m.x965 == 0) m.c1446 = Constraint(expr= m.x730 - m.x978 - m.x980 == 0) m.c1447 = Constraint(expr= m.x731 - m.x979 - m.x981 == 0) m.c1448 = Constraint(expr= m.x962 - 0.705049913072943*m.b1046 <= 0) m.c1449 = Constraint(expr= m.x963 - 0.705049913072943*m.b1047 <= 0) m.c1450 = Constraint(expr= m.x964 + 0.705049913072943*m.b1046 <= 0.705049913072943) m.c1451 = Constraint(expr= m.x965 + 0.705049913072943*m.b1047 <= 0.705049913072943) m.c1452 = Constraint(expr= m.x978 - 0.480234946352917*m.b1046 <= 0) m.c1453 = Constraint(expr= m.x979 - 0.480234946352917*m.b1047 <= 0) m.c1454 = Constraint(expr= m.x980 + 0.480234946352917*m.b1046 <= 0.480234946352917) m.c1455 = Constraint(expr= m.x981 + 0.480234946352917*m.b1047 <= 0.480234946352917) m.c1456 = Constraint(expr=(m.x982/(1e-6 + m.b1048) - log(1 + m.x948/(1e-6 + m.b1048)))*(1e-6 + m.b1048) <= 0) m.c1457 = Constraint(expr=(m.x983/(1e-6 + m.b1049) - log(1 + m.x949/(1e-6 + m.b1049)))*(1e-6 + m.b1049) <= 0) m.c1458 = Constraint(expr= m.x952 == 0) m.c1459 = Constraint(expr= m.x953 == 0) m.c1460 = Constraint(expr= m.x984 == 0) m.c1461 = Constraint(expr= m.x985 == 0) m.c1462 = Constraint(expr= m.x714 - m.x948 - m.x952 == 0) m.c1463 = Constraint(expr= m.x715 - m.x949 - m.x953 == 0) m.c1464 = Constraint(expr= m.x732 - m.x982 - m.x984 == 0) m.c1465 = Constraint(expr= m.x733 - m.x983 - m.x985 == 0) m.c1466 = Constraint(expr= m.x948 - 0.994083415506506*m.b1048 <= 0) m.c1467 = Constraint(expr= m.x949 - 0.994083415506506*m.b1049 <= 0) m.c1468 = Constraint(expr= m.x952 + 0.994083415506506*m.b1048 <= 0.994083415506506) m.c1469 = Constraint(expr= m.x953 + 0.994083415506506*m.b1049 <= 0.994083415506506) m.c1470 = Constraint(expr= m.x982 - 0.690184503917672*m.b1048 <= 0) m.c1471 = Constraint(expr= m.x983 - 0.690184503917672*m.b1049 <= 0) m.c1472 = Constraint(expr= m.x984 + 0.690184503917672*m.b1048 <= 0.690184503917672) m.c1473 = Constraint(expr= m.x985 + 0.690184503917672*m.b1049 <= 0.690184503917672) m.c1474 = Constraint(expr= - 0.9*m.x966 + m.x986 == 0) m.c1475 = Constraint(expr= - 0.9*m.x967 + m.x987 == 0) m.c1476 = Constraint(expr= m.x968 == 0) m.c1477 = Constraint(expr= m.x969 == 0) m.c1478 = Constraint(expr= m.x988 == 0) m.c1479 = Constraint(expr= m.x989 == 0) m.c1480 = Constraint(expr= m.x722 - m.x966 - m.x968 == 0) m.c1481 = Constraint(expr= m.x723 - m.x967 - m.x969 == 0) m.c1482 = Constraint(expr= m.x734 - m.x986 - m.x988 == 0) m.c1483 = Constraint(expr= m.x735 - m.x987 - m.x989 == 0) m.c1484 = Constraint(expr= m.x966 - 15*m.b1050 <= 0) m.c1485 = Constraint(expr= m.x967 - 15*m.b1051 <= 0) m.c1486 = Constraint(expr= m.x968 + 15*m.b1050 <= 15) m.c1487 = Constraint(expr= m.x969 + 15*m.b1051 <= 15) m.c1488 = Constraint(expr= m.x986 - 13.5*m.b1050 <= 0) m.c1489 = Constraint(expr= m.x987 - 13.5*m.b1051 <= 0) m.c1490 = Constraint(expr= m.x988 + 13.5*m.b1050 <= 13.5) m.c1491 = Constraint(expr= m.x989 + 13.5*m.b1051 <= 13.5) m.c1492 = Constraint(expr= - 0.6*m.x970 + m.x990 == 0) m.c1493 = Constraint(expr= - 0.6*m.x971 + m.x991 == 0) m.c1494 = Constraint(expr= m.x972 == 0) m.c1495 = Constraint(expr= m.x973 == 0) m.c1496 = Constraint(expr= m.x992 == 0) m.c1497 = Constraint(expr= m.x993 == 0) m.c1498 = Constraint(expr= m.x724 - m.x970 - m.x972 == 0) m.c1499 = Constraint(expr= m.x725 - m.x971 - m.x973 == 0) m.c1500 = Constraint(expr= m.x736 - m.x990 - m.x992 == 0) m.c1501 = Constraint(expr= m.x737 - m.x991 - m.x993 == 0) m.c1502 = Constraint(expr= m.x970 - 15*m.b1052 <= 0) m.c1503 = Constraint(expr= m.x971 - 15*m.b1053 <= 0) m.c1504 = Constraint(expr= m.x972 + 15*m.b1052 <= 15) m.c1505 = Constraint(expr= m.x973 + 15*m.b1053 <= 15) m.c1506 = Constraint(expr= m.x990 - 9*m.b1052 <= 0) m.c1507 = Constraint(expr= m.x991 - 9*m.b1053 <= 0) m.c1508 = Constraint(expr= m.x992 + 9*m.b1052 <= 9) m.c1509 = Constraint(expr= m.x993 + 9*m.b1053 <= 9) m.c1510 = Constraint(expr= 5*m.b1054 + m.x1114 == 0) m.c1511 = Constraint(expr= 4*m.b1055 + m.x1115 == 0) m.c1512 = Constraint(expr= 8*m.b1056 + m.x1116 == 0) m.c1513 = Constraint(expr= 7*m.b1057 + m.x1117 == 0) m.c1514 = Constraint(expr= 6*m.b1058 + m.x1118 == 0) m.c1515 = Constraint(expr= 9*m.b1059 + m.x1119 == 0) m.c1516 = Constraint(expr= 10*m.b1060 + m.x1120 == 0) m.c1517 = Constraint(expr= 9*m.b1061 + m.x1121 == 0) m.c1518 = Constraint(expr= 6*m.b1062 + m.x1122 == 0) m.c1519 = Constraint(expr= 10*m.b1063 + m.x1123 == 0) m.c1520 = Constraint(expr= 7*m.b1064 + m.x1124 == 0) m.c1521 = Constraint(expr= 7*m.b1065 + m.x1125 == 0) m.c1522 = Constraint(expr= 4*m.b1066 + m.x1126 == 0) m.c1523 = Constraint(expr= 3*m.b1067 + m.x1127 == 0) m.c1524 = Constraint(expr= 5*m.b1068 + m.x1128 == 0) m.c1525 = Constraint(expr= 6*m.b1069 + m.x1129 == 0) m.c1526 = Constraint(expr= 2*m.b1070 + m.x1130 == 0) m.c1527 = Constraint(expr= 5*m.b1071 + m.x1131 == 0) m.c1528 = Constraint(expr= 4*m.b1072 + m.x1132 == 0) m.c1529 = Constraint(expr= 7*m.b1073 + m.x1133 == 0) m.c1530 = Constraint(expr= 3*m.b1074 + m.x1134 == 0) m.c1531 = Constraint(expr= 9*m.b1075 + m.x1135 == 0) m.c1532 = Constraint(expr= 7*m.b1076 + m.x1136 == 0) m.c1533 = Constraint(expr= 2*m.b1077 + m.x1137 == 0) m.c1534 = Constraint(expr= 3*m.b1078 + m.x1138 == 0) m.c1535 = Constraint(expr= m.b1079 + m.x1139 == 0) m.c1536 = Constraint(expr= 2*m.b1080 + m.x1140 == 0) m.c1537 = Constraint(expr= 6*m.b1081 + m.x1141 == 0) m.c1538 = Constraint(expr= 4*m.b1082 + m.x1142 == 0) m.c1539 = Constraint(expr= 8*m.b1083 + m.x1143 == 0) m.c1540 = Constraint(expr= 2*m.b1084 + m.x1144 == 0) m.c1541 = Constraint(expr= 5*m.b1085 + m.x1145 == 0) m.c1542 = Constraint(expr= 3*m.b1086 + m.x1146 == 0) m.c1543 = Constraint(expr= 4*m.b1087 + m.x1147 == 0) m.c1544 = Constraint(expr= 5*m.b1088 + m.x1148 == 0) m.c1545 = Constraint(expr= 7*m.b1089 + m.x1149 == 0) m.c1546 = Constraint(expr= 2*m.b1090 + m.x1150 == 0) m.c1547 = Constraint(expr= 8*m.b1091 + m.x1151 == 0) m.c1548 = Constraint(expr= m.b1092 + m.x1152 == 0) m.c1549 = Constraint(expr= 4*m.b1093 + m.x1153 == 0) m.c1550 = Constraint(expr= 2*m.b1094 + m.x1154 == 0) m.c1551 = Constraint(expr= 5*m.b1095 + m.x1155 == 0) m.c1552 = Constraint(expr= 9*m.b1096 + m.x1156 == 0) m.c1553 = Constraint(expr= 2*m.b1097 + m.x1157 == 0) m.c1554 = Constraint(expr= 5*m.b1098 + m.x1158 == 0) m.c1555 = Constraint(expr= 8*m.b1099 + m.x1159 == 0) m.c1556 = Constraint(expr= 2*m.b1100 + m.x1160 == 0) m.c1557 = Constraint(expr= 3*m.b1101 + m.x1161 == 0) m.c1558 = Constraint(expr= 10*m.b1102 + m.x1162 == 0) m.c1559 = Constraint(expr= 6*m.b1103 + m.x1163 == 0) m.c1560 = Constraint(expr= 4*m.b1104 + m.x1164 == 0) m.c1561 = Constraint(expr= 8*m.b1105 + m.x1165 == 0) m.c1562 = Constraint(expr= 7*m.b1106 + m.x1166 == 0) m.c1563 = Constraint(expr= 3*m.b1107 + m.x1167 == 0) m.c1564 = Constraint(expr= 4*m.b1108 + m.x1168 == 0) m.c1565 = Constraint(expr= 8*m.b1109 + m.x1169 == 0) m.c1566 = Constraint(expr= 2*m.b1110 + m.x1170 == 0) m.c1567 = Constraint(expr= m.b1111 + m.x1171 == 0) m.c1568 = Constraint(expr= 8*m.b1112 + m.x1172 == 0) m.c1569 = Constraint(expr= 3*m.b1113 + m.x1173 == 0) m.c1570 = Constraint(expr= m.b994 - m.b995 <= 0) m.c1571 = Constraint(expr= m.b996 - m.b997 <= 0) m.c1572 = Constraint(expr= m.b998 - m.b999 <= 0) m.c1573 = Constraint(expr= m.b1000 - m.b1001 <= 0) m.c1574 = Constraint(expr= m.b1002 - m.b1003 <= 0) m.c1575 = Constraint(expr= m.b1004 - m.b1005 <= 0) m.c1576 = Constraint(expr= m.b1006 - m.b1007 <= 0) m.c1577 = Constraint(expr= m.b1008 - m.b1009 <= 0) m.c1578 = Constraint(expr= m.b1010 - m.b1011 <= 0) m.c1579 = Constraint(expr= m.b1012 - m.b1013 <= 0) m.c1580 = Constraint(expr= m.b1014 - m.b1015 <= 0) m.c1581 = Constraint(expr= m.b1016 - m.b1017 <= 0) m.c1582 = Constraint(expr= m.b1018 - m.b1019 <= 0) m.c1583 = Constraint(expr= m.b1020 - m.b1021 <= 0) m.c1584 = Constraint(expr= m.b1022 - m.b1023 <= 0) m.c1585 = Constraint(expr= m.b1024 - m.b1025 <= 0) m.c1586 = Constraint(expr= m.b1026 - m.b1027 <= 0) m.c1587 = Constraint(expr= m.b1028 - m.b1029 <= 0) m.c1588 = Constraint(expr= m.b1030 - m.b1031 <= 0) m.c1589 = Constraint(expr= m.b1032 - m.b1033 <= 0) m.c1590 = Constraint(expr= m.b1034 - m.b1035 <= 0) m.c1591 = Constraint(expr= m.b1036 - m.b1037 <= 0) m.c1592 = Constraint(expr= m.b1038 - m.b1039 <= 0) m.c1593 = Constraint(expr= m.b1040 - m.b1041 <= 0) m.c1594 = Constraint(expr= m.b1042 - m.b1043 <= 0) m.c1595 = Constraint(expr= m.b1044 - m.b1045 <= 0) m.c1596 = Constraint(expr= m.b1046 - m.b1047 <= 0) m.c1597 = Constraint(expr= m.b1048 - m.b1049 <= 0) m.c1598 = Constraint(expr= m.b1050 - m.b1051 <= 0) m.c1599 = Constraint(expr= m.b1052 - m.b1053 <= 0) m.c1600 = Constraint(expr= m.b1054 + m.b1055 <= 1) m.c1601 = Constraint(expr= m.b1054 + m.b1055 <= 1) m.c1602 = Constraint(expr= m.b1056 + m.b1057 <= 1) m.c1603 = Constraint(expr= m.b1056 + m.b1057 <= 1) m.c1604 = Constraint(expr= m.b1058 + m.b1059 <= 1) m.c1605 = Constraint(expr= m.b1058 + m.b1059 <= 1) m.c1606 = Constraint(expr= m.b1060 + m.b1061 <= 1) m.c1607 = Constraint(expr= m.b1060 + m.b1061 <= 1) m.c1608 = Constraint(expr= m.b1062 + m.b1063 <= 1) m.c1609 = Constraint(expr= m.b1062 + m.b1063 <= 1) m.c1610 = Constraint(expr= m.b1064 + m.b1065 <= 1) m.c1611 = Constraint(expr= m.b1064 + m.b1065 <= 1) m.c1612 = Constraint(expr= m.b1066 + m.b1067 <= 1) m.c1613 = Constraint(expr= m.b1066 + m.b1067 <= 1) m.c1614 = Constraint(expr= m.b1068 + m.b1069 <= 1) m.c1615 = Constraint(expr= m.b1068 + m.b1069 <= 1) m.c1616 = Constraint(expr= m.b1070 + m.b1071 <= 1) m.c1617 = Constraint(expr= m.b1070 + m.b1071 <= 1) m.c1618 = Constraint(expr= m.b1072 + m.b1073 <= 1) m.c1619 = Constraint(expr= m.b1072 + m.b1073 <= 1) m.c1620 = Constraint(expr= m.b1074 + m.b1075 <= 1) m.c1621 = Constraint(expr= m.b1074 + m.b1075 <= 1) m.c1622 = Constraint(expr= m.b1076 + m.b1077 <= 1) m.c1623 = Constraint(expr= m.b1076 + m.b1077 <= 1) m.c1624 = Constraint(expr= m.b1078 + m.b1079 <= 1) m.c1625 = Constraint(expr= m.b1078 + m.b1079 <= 1) m.c1626 = Constraint(expr= m.b1080 + m.b1081 <= 1) m.c1627 = Constraint(expr= m.b1080 + m.b1081 <= 1) m.c1628 = Constraint(expr= m.b1082 + m.b1083 <= 1) m.c1629 = Constraint(expr= m.b1082 + m.b1083 <= 1) m.c1630 = Constraint(expr= m.b1084 + m.b1085 <= 1) m.c1631 = Constraint(expr= m.b1084 + m.b1085 <= 1) m.c1632 = Constraint(expr= m.b1086 + m.b1087 <= 1) m.c1633 = Constraint(expr= m.b1086 + m.b1087 <= 1) m.c1634 = Constraint(expr= m.b1088 + m.b1089 <= 1) m.c1635 = Constraint(expr= m.b1088 + m.b1089 <= 1) m.c1636 = Constraint(expr= m.b1090 + m.b1091 <= 1) m.c1637 = Constraint(expr= m.b1090 + m.b1091 <= 1) m.c1638 = Constraint(expr= m.b1092 + m.b1093 <= 1) m.c1639 = Constraint(expr= m.b1092 + m.b1093 <= 1) m.c1640 = Constraint(expr= m.b1094 + m.b1095 <= 1) m.c1641 = Constraint(expr= m.b1094 + m.b1095 <= 1) m.c1642 = Constraint(expr= m.b1096 + m.b1097 <= 1) m.c1643 = Constraint(expr= m.b1096 + m.b1097 <= 1) m.c1644 = Constraint(expr= m.b1098 + m.b1099 <= 1) m.c1645 = Constraint(expr= m.b1098 + m.b1099 <= 1) m.c1646 = Constraint(expr= m.b1100 + m.b1101 <= 1) m.c1647 = Constraint(expr= m.b1100 + m.b1101 <= 1) m.c1648 = Constraint(expr= m.b1102 + m.b1103 <= 1) m.c1649 = Constraint(expr= m.b1102 + m.b1103 <= 1) m.c1650 = Constraint(expr= m.b1104 + m.b1105 <= 1) m.c1651 = Constraint(expr= m.b1104 + m.b1105 <= 1) m.c1652 = Constraint(expr= m.b1106 + m.b1107 <= 1) m.c1653 = Constraint(expr= m.b1106 + m.b1107 <= 1) m.c1654 = Constraint(expr= m.b1108 + m.b1109 <= 1) m.c1655 = Constraint(expr= m.b1108 + m.b1109 <= 1) m.c1656 = Constraint(expr= m.b1110 + m.b1111 <= 1) m.c1657 = Constraint(expr= m.b1110 + m.b1111 <= 1) m.c1658 = Constraint(expr= m.b1112 + m.b1113 <= 1) m.c1659 = Constraint(expr= m.b1112 + m.b1113 <= 1) m.c1660 = Constraint(expr= m.b994 - m.b1054 <= 0) m.c1661 = Constraint(expr= - m.b994 + m.b995 - m.b1055 <= 0) m.c1662 = Constraint(expr= m.b996 - m.b1056 <= 0) m.c1663 = Constraint(expr= - m.b996 + m.b997 - m.b1057 <= 0) m.c1664 = Constraint(expr= m.b998 - m.b1058 <= 0) m.c1665 = Constraint(expr= - m.b998 + m.b999 - m.b1059 <= 0) m.c1666 = Constraint(expr= m.b1000 - m.b1060 <= 0) m.c1667 = Constraint(expr= - m.b1000 + m.b1001 - m.b1061 <= 0) m.c1668 = Constraint(expr= m.b1002 - m.b1062 <= 0) m.c1669 = Constraint(expr= - m.b1002 + m.b1003 - m.b1063 <= 0) m.c1670 = Constraint(expr= m.b1004 - m.b1064 <= 0) m.c1671 = Constraint(expr= - m.b1004 + m.b1005 - m.b1065 <= 0) m.c1672 = Constraint(expr= m.b1006 - m.b1066 <= 0) m.c1673 = Constraint(expr= - m.b1006 + m.b1007 - m.b1067 <= 0) m.c1674 = Constraint(expr= m.b1008 - m.b1068 <= 0) m.c1675 = Constraint(expr= - m.b1008 + m.b1009 - m.b1069 <= 0) m.c1676 = Constraint(expr= m.b1010 - m.b1070 <= 0) m.c1677 = Constraint(expr= - m.b1010 + m.b1011 - m.b1071 <= 0) m.c1678 = Constraint(expr= m.b1012 - m.b1072 <= 0) m.c1679 = Constraint(expr= - m.b1012 + m.b1013 - m.b1073 <= 0) m.c1680 = Constraint(expr= m.b1014 - m.b1074 <= 0) m.c1681 = Constraint(expr= - m.b1014 + m.b1015 - m.b1075 <= 0) m.c1682 = Constraint(expr= m.b1016 - m.b1076 <= 0) m.c1683 = Constraint(expr= - m.b1016 + m.b1017 - m.b1077 <= 0) m.c1684 = Constraint(expr= m.b1018 - m.b1078 <= 0) m.c1685 = Constraint(expr= - m.b1018 + m.b1019 - m.b1079 <= 0) m.c1686 = Constraint(expr= m.b1020 - m.b1080 <= 0) m.c1687 = Constraint(expr= - m.b1020 + m.b1021 - m.b1081 <= 0) m.c1688 = Constraint(expr= m.b1022 - m.b1082 <= 0) m.c1689 = Constraint(expr= - m.b1022 + m.b1023 - m.b1083 <= 0) m.c1690 = Constraint(expr= m.b1024 - m.b1084 <= 0) m.c1691 = Constraint(expr= - m.b1024 + m.b1025 - m.b1085 <= 0) m.c1692 = Constraint(expr= m.b1026 - m.b1086 <= 0) m.c1693 = Constraint(expr= - m.b1026 + m.b1027 - m.b1087 <= 0) m.c1694 = Constraint(expr= m.b1028 - m.b1088 <= 0) m.c1695 = Constraint(expr= - m.b1028 + m.b1029 - m.b1089 <= 0) m.c1696 = Constraint(expr= m.b1030 - m.b1090 <= 0) m.c1697 = Constraint(expr= - m.b1030 + m.b1031 - m.b1091 <= 0) m.c1698 = Constraint(expr= m.b1032 - m.b1092 <= 0) m.c1699 = Constraint(expr= - m.b1032 + m.b1033 - m.b1093 <= 0) m.c1700 = Constraint(expr= m.b1034 - m.b1094 <= 0) m.c1701 = Constraint(expr= - m.b1034 + m.b1035 - m.b1095 <= 0) m.c1702 = Constraint(expr= m.b1036 - m.b1096 <= 0) m.c1703 = Constraint(expr= - m.b1036 + m.b1037 - m.b1097 <= 0) m.c1704 = Constraint(expr= m.b1038 - m.b1098 <= 0) m.c1705 = Constraint(expr= - m.b1038 + m.b1039 - m.b1099 <= 0) m.c1706 = Constraint(expr= m.b1040 - m.b1100 <= 0) m.c1707 = Constraint(expr= - m.b1040 + m.b1041 - m.b1101 <= 0) m.c1708 = Constraint(expr= m.b1042 - m.b1102 <= 0) m.c1709 = Constraint(expr= - m.b1042 + m.b1043 - m.b1103 <= 0) m.c1710 = Constraint(expr= m.b1044 - m.b1104 <= 0) m.c1711 = Constraint(expr= - m.b1044 + m.b1045 - m.b1105 <= 0) m.c1712 = Constraint(expr= m.b1046 - m.b1106 <= 0) m.c1713 = Constraint(expr= - m.b1046 + m.b1047 - m.b1107 <= 0) m.c1714 = Constraint(expr= m.b1048 - m.b1108 <= 0) m.c1715 = Constraint(expr= - m.b1048 + m.b1049 - m.b1109 <= 0) m.c1716 = Constraint(expr= m.b1050 - m.b1110 <= 0) m.c1717 = Constraint(expr= - m.b1050 + m.b1051 - m.b1111 <= 0) m.c1718 = Constraint(expr= m.b1052 - m.b1112 <= 0) m.c1719 = Constraint(expr= - m.b1052 + m.b1053 - m.b1113 <= 0) m.c1720 = Constraint(expr= m.b994 + m.b996 == 1) m.c1721 = Constraint(expr= m.b995 + m.b997 == 1) m.c1722 = Constraint(expr= - m.b998 + m.b1004 + m.b1006 >= 0) m.c1723 = Constraint(expr= - m.b999 + m.b1005 + m.b1007 >= 0) m.c1724 = Constraint(expr= - m.b1004 + m.b1016 >= 0) m.c1725 = Constraint(expr= - m.b1005 + m.b1017 >= 0) m.c1726 = Constraint(expr= - m.b1006 + m.b1018 >= 0) m.c1727 = Constraint(expr= - m.b1007 + m.b1019 >= 0) m.c1728 = Constraint(expr= - m.b1000 + m.b1008 >= 0) m.c1729 = Constraint(expr= - m.b1001 + m.b1009 >= 0) m.c1730 = Constraint(expr= - m.b1008 + m.b1020 + m.b1022 >= 0) m.c1731 = Constraint(expr= - m.b1009 + m.b1021 + m.b1023 >= 0) m.c1732 = Constraint(expr= - m.b1002 + m.b1010 + m.b1012 + m.b1014 >= 0) m.c1733 = Constraint(expr= - m.b1003 + m.b1011 + m.b1013 + m.b1015 >= 0) m.c1734 = Constraint(expr= - m.b1010 + m.b1022 >= 0) m.c1735 = Constraint(expr= - m.b1011 + m.b1023 >= 0) m.c1736 = Constraint(expr= - m.b1012 + m.b1024 + m.b1026 >= 0) m.c1737 = Constraint(expr= - m.b1013 + m.b1025 + m.b1027 >= 0) m.c1738 = Constraint(expr= - m.b1014 + m.b1028 + m.b1030 + m.b1032 >= 0) m.c1739 = Constraint(expr= - m.b1015 + m.b1029 + m.b1031 + m.b1033 >= 0) m.c1740 = Constraint(expr= m.b994 + m.b996 - m.b998 >= 0) m.c1741 = Constraint(expr= m.b995 + m.b997 - m.b999 >= 0) m.c1742 = Constraint(expr= m.b994 + m.b996 - m.b1000 >= 0) m.c1743 = Constraint(expr= m.b995 + m.b997 - m.b1001 >= 0) m.c1744 = Constraint(expr= m.b994 + m.b996 - m.b1002 >= 0) m.c1745 = Constraint(expr= m.b995 + m.b997 - m.b1003 >= 0) m.c1746 = Constraint(expr= m.b998 - m.b1004 >= 0) m.c1747 = Constraint(expr= m.b999 - m.b1005 >= 0) m.c1748 = Constraint(expr= m.b998 - m.b1006 >= 0) m.c1749 = Constraint(expr= m.b999 - m.b1007 >= 0) m.c1750 = Constraint(expr= m.b1000 - m.b1008 >= 0) m.c1751 = Constraint(expr= m.b1001 - m.b1009 >= 0) m.c1752 = Constraint(expr= m.b1002 - m.b1010 >= 0) m.c1753 = Constraint(expr= m.b1003 - m.b1011 >= 0) m.c1754 = Constraint(expr= m.b1002 - m.b1012 >= 0) m.c1755 = Constraint(expr= m.b1003 - m.b1013 >= 0) m.c1756 = Constraint(expr= m.b1002 - m.b1014 >= 0) m.c1757 = Constraint(expr= m.b1003 - m.b1015 >= 0) m.c1758 = Constraint(expr= m.b1004 - m.b1016 >= 0) m.c1759 = Constraint(expr= m.b1005 - m.b1017 >= 0) m.c1760 = Constraint(expr= m.b1006 - m.b1018 >= 0) m.c1761 = Constraint(expr= m.b1007 - m.b1019 >= 0) m.c1762 = Constraint(expr= m.b1008 - m.b1020 >= 0) m.c1763 = Constraint(expr= m.b1009 - m.b1021 >= 0) m.c1764 = Constraint(expr= m.b1008 - m.b1022 >= 0) m.c1765 = Constraint(expr= m.b1009 - m.b1023 >= 0) m.c1766 = Constraint(expr= m.b1012 - m.b1024 >= 0) m.c1767 = Constraint(expr= m.b1013 - m.b1025 >= 0) m.c1768 = Constraint(expr= m.b1012 - m.b1026 >= 0) m.c1769 = Constraint(expr= m.b1013 - m.b1027 >= 0) m.c1770 = Constraint(expr= m.b1014 - m.b1028 >= 0) m.c1771 = Constraint(expr= m.b1015 - m.b1029 >= 0) m.c1772 = Constraint(expr= m.b1014 - m.b1030 >= 0) m.c1773 = Constraint(expr= m.b1015 - m.b1031 >= 0) m.c1774 = Constraint(expr= m.b1014 - m.b1032 >= 0) m.c1775 = Constraint(expr= m.b1015 - m.b1033 >= 0) m.c1776 = Constraint(expr= - m.b1032 + m.b1034 + m.b1036 >= 0) m.c1777 = Constraint(expr= - m.b1033 + m.b1035 + m.b1037 >= 0) m.c1778 = Constraint(expr= - m.b1038 + m.b1044 + m.b1046 >= 0) m.c1779 = Constraint(expr= - m.b1039 + m.b1045 + m.b1047 >= 0) m.c1780 = Constraint(expr= - m.b1040 + m.b1048 >= 0) m.c1781 = Constraint(expr= - m.b1041 + m.b1049 >= 0) m.c1782 = Constraint(expr= m.b1032 - m.b1034 >= 0) m.c1783 = Constraint(expr= m.b1033 - m.b1035 >= 0) m.c1784 = Constraint(expr= m.b1032 - m.b1036 >= 0) m.c1785 = Constraint(expr= m.b1033 - m.b1037 >= 0) m.c1786 = Constraint(expr= m.b1038 - m.b1044 >= 0) m.c1787 = Constraint(expr= m.b1039 - m.b1045 >= 0) m.c1788 = Constraint(expr= m.b1038 - m.b1046 >= 0) m.c1789 = Constraint(expr= m.b1039 - m.b1047 >= 0) m.c1790 = Constraint(expr= m.b1040 - m.b1048 >= 0) m.c1791 = Constraint(expr= m.b1041 - m.b1049 >= 0) m.c1792 = Constraint(expr= m.b1042 - m.b1050 >= 0) m.c1793 = Constraint(expr= m.b1043 - m.b1051 >= 0) m.c1794 = Constraint(expr= m.b1042 - m.b1052 >= 0) m.c1795 = Constraint(expr= m.b1043 - m.b1053 >= 0)

36.460499

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31,430

175,375

3.621126

0.10035

0.047781

0.215751

0.162373

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null

0

1

0

1

0

null

0

3

3be1b2164010153e4fdee605230ce759c3718059

112

py

Python

archive/deep-learning/test-tensorflow-gpu.py

ajrichards/bayesian-examples

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

2

2016-01-27T08:51:23.000Z

2017-04-17T02:21:34.000Z

archive/deep-learning/test-tensorflow-gpu.py

ajrichards/notebook

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

null

archive/deep-learning/test-tensorflow-gpu.py

ajrichards/notebook

fbd87c6f1613ea516408e9ebc3c9eff1248246e4

[ "BSD-3-Clause" ]

null

import tensorflow as tf tf.test.is_gpu_available( cuda_only=False, min_cuda_compute_capability=None )

14

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null

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3bfc6e2ca836f89035445c3b699f7a84051caa62

4,760

py

Python

dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

8

2019-10-07T16:33:47.000Z

2020-12-07T03:59:58.000Z

dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

null

dev/Gems/CloudGemWebCommunicator/AWS/common-code/aws_iot_device_sdk_python/AWSIoTPythonSDK/exception/AWSIoTExceptions.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

5

2020-08-27T20:44:18.000Z

2021-08-21T22:54:11.000Z

# /* # * Copyright 2010-2017 Amazon.com, Inc. or its affiliates. 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. # * A copy of the License is located at # * # * http://aws.amazon.com/apache2.0 # * # * or in the "license" file accompanying this file. This file is distributed # * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either # * express or implied. See the License for the specific language governing # * permissions and limitations under the License. # */ import AWSIoTPythonSDK.exception.operationTimeoutException as operationTimeoutException import AWSIoTPythonSDK.exception.operationError as operationError # Serial Exception class acceptTimeoutException(Exception): def __init__(self, msg="Accept Timeout"): self.message = msg # MQTT Operation Timeout Exception class connectTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, msg="Connect Timeout"): self.message = msg class disconnectTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, msg="Disconnect Timeout"): self.message = msg class publishTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, msg="Publish Timeout"): self.message = msg class subscribeTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, msg="Subscribe Timeout"): self.message = msg class unsubscribeTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, msg="Unsubscribe Timeout"): self.message = msg # MQTT Operation Error class connectError(operationError.operationError): def __init__(self, errorCode): self.message = "Connect Error: " + str(errorCode) class disconnectError(operationError.operationError): def __init__(self, errorCode): self.message = "Disconnect Error: " + str(errorCode) class publishError(operationError.operationError): def __init__(self, errorCode): self.message = "Publish Error: " + str(errorCode) class publishQueueFullException(operationError.operationError): def __init__(self): self.message = "Internal Publish Queue Full" class publishQueueDisabledException(operationError.operationError): def __init__(self): self.message = "Offline publish request dropped because queueing is disabled" class subscribeError(operationError.operationError): def __init__(self, errorCode): self.message = "Subscribe Error: " + str(errorCode) class subscribeQueueFullException(operationError.operationError): def __init__(self): self.message = "Internal Subscribe Queue Full" class subscribeQueueDisabledException(operationError.operationError): def __init__(self): self.message = "Offline subscribe request dropped because queueing is disabled" class unsubscribeError(operationError.operationError): def __init__(self, errorCode): self.message = "Unsubscribe Error: " + str(errorCode) class unsubscribeQueueFullException(operationError.operationError): def __init__(self): self.message = "Internal Unsubscribe Queue Full" class unsubscribeQueueDisabledException(operationError.operationError): def __init__(self): self.message = "Offline unsubscribe request dropped because queueing is disabled" # Websocket Error class wssNoKeyInEnvironmentError(operationError.operationError): def __init__(self): self.message = "No AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY detected in $ENV." class wssHandShakeError(operationError.operationError): def __init__(self): self.message = "Error in WSS handshake." # Greengrass Discovery Error class DiscoveryDataNotFoundException(operationError.operationError): def __init__(self): self.message = "No discovery data found" class DiscoveryTimeoutException(operationTimeoutException.operationTimeoutException): def __init__(self, message="Discovery request timed out"): self.message = message class DiscoveryInvalidRequestException(operationError.operationError): def __init__(self): self.message = "Invalid discovery request" class DiscoveryUnauthorizedException(operationError.operationError): def __init__(self): self.message = "Discovery request not authorized" class DiscoveryThrottlingException(operationError.operationError): def __init__(self): self.message = "Too many discovery requests" class DiscoveryFailure(operationError.operationError): def __init__(self, message): self.message = message

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0.179283

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null

0

1

0

1

0

3

ce2e7146a4c1f5004c3c25153ec6c3c5bb5e9e80

101

py

Python

django_email_test/__init__.py

morlandi/django-email-test

c59ad3652a08a7e580a6888cd9c0615d20034a1f

[ "BSD-3-Clause" ]

1

2020-10-05T21:01:42.000Z

django_email_test/__init__.py

morlandi/django-email-test

c59ad3652a08a7e580a6888cd9c0615d20034a1f

[ "BSD-3-Clause" ]

null

django_email_test/__init__.py

morlandi/django-email-test

c59ad3652a08a7e580a6888cd9c0615d20034a1f

[ "BSD-3-Clause" ]

1

2020-10-05T21:01:56.000Z

VERSION = (0, 0, 5) __version__ = "".join([".".join(map(str, VERSION[0:3])), "".join(VERSION[3:])])

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1

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null

1

0

1

0

null

0

3

ce331d2683df658a6cea5c610e302e81e46f1c00

720

py

Python

provy/more/centos/networking/hosts.py

timgates42/provy

ca3d5e96a2210daf3c1fd4b96e047efff152db14

[ "MIT" ]

15

2015-01-28T15:49:28.000Z

2021-09-02T18:49:46.000Z

provy/more/centos/networking/hosts.py

timgates42/provy

ca3d5e96a2210daf3c1fd4b96e047efff152db14

[ "MIT" ]

null

provy/more/centos/networking/hosts.py

timgates42/provy

ca3d5e96a2210daf3c1fd4b96e047efff152db14

[ "MIT" ]

3

2016-12-05T07:08:11.000Z

2021-12-26T04:31:05.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- ''' Roles in this namespace are meant to provide hosts management operations for centos distributions. ''' from provy.more.linux.networking.hosts import HostsRole as Hosts class HostsRole(Hosts): ''' This role provides hosts file management utilities for centos distributions. This is just a class wrapper over :class:`provy.more.linux.networking.hosts.HostsRole` Example: :: from provy.core import Role from provy.more.centos import HostsRole class MySampleRole(Role): def provision(self): with self.using(HostsRole) as role: role.ensure_host('localhost', '127.0.0.1') '''

25.714286

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720

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0.056962

0.092827

0.101266

0.122363

0

0.012821

0.241667

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26.666667

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true

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0

1

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null

0

null

0

1

0

1

0

1

0

3

ce395ff788e31ac7c9bcfb124ec558832cba32f2

43

py

Python

laserAtomTrap/src/__init__.py

statisdisc/modellingAndSimulation

1458e7b7a527a4835c5a545f5899b6f1e4d80f92

[ "Python-2.0", "OLDAP-2.7" ]

null

laserAtomTrap/src/__init__.py

statisdisc/modellingAndSimulation

1458e7b7a527a4835c5a545f5899b6f1e4d80f92

[ "Python-2.0", "OLDAP-2.7" ]

null

laserAtomTrap/src/__init__.py

statisdisc/modellingAndSimulation

1458e7b7a527a4835c5a545f5899b6f1e4d80f92

[ "Python-2.0", "OLDAP-2.7" ]

null

__all__ = ["objects", "plots", "utilities"]

43

0.651163

4

43

6

1

0

0.093023

43

1

43

0.615385

0

0.477273

0

1

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0

1

0

null

0

1

0

null

0

3

cbed4b7641fe0e0241a0ad27502e8caa282600d5

1,016

py

Python

websocket/utils/exceptions.py

shadow-share/websocket

221f523f2973633b14d66b3890a644a0707dd18c

[ "MIT" ]

null

websocket/utils/exceptions.py

shadow-share/websocket

221f523f2973633b14d66b3890a644a0707dd18c

[ "MIT" ]

null

websocket/utils/exceptions.py

shadow-share/websocket

221f523f2973633b14d66b3890a644a0707dd18c

[ "MIT" ]

null

#!/usr/bin/env python # # Copyright (C) 2017 ShadowMan # class FatalError(Exception): pass class FrameHeaderParseError(Exception): pass class ConnectClosed(Exception): pass class RequestError(Exception): pass class LoggerWarning(RuntimeWarning): pass class DeamonError(Exception): pass class SendDataPackError(Exception): pass class InvalidResponse(Exception): pass class ParameterError(Exception): pass def raise_parameter_error(name, except_type, got_val): if not isinstance(got_val, except_type): raise ParameterError( '{name} except {except_type}, got {got_type}'.format( name=name, except_type=except_type.__name__, got_type=type(got_val).__name__)) class ExitWrite(Exception): pass class BroadcastError(Exception): pass class HttpVerifierError(Exception): pass class FrameVerifierError(Exception): pass class WSSCertificateFileNotFound(Exception): pass

14.724638

65

0.694882

103

1,016

6.660194

0.378641

0.246356

0.28863

0

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0.222441

1,016

68

66

14.941176

0.863291

0.048228

0

0.4

0

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1

0.028571

false

0.4

0

0.428571

0

null

1

0

null

0

1

0

3

cbfbbdd6eed182449f7e751f423530ebe0292c93

511

py

Python

03-conditionals/check_same_case.py

alvgaona/PC

dc043861a7246c228f40d882b70faa6b9623b05b

[ "MIT" ]

2

2022-03-29T16:40:32.000Z

2022-03-29T16:42:34.000Z

03-conditionals/check_same_case.py

alvgaona/PC

dc043861a7246c228f40d882b70faa6b9623b05b

[ "MIT" ]

null

03-conditionals/check_same_case.py

alvgaona/PC

dc043861a7246c228f40d882b70faa6b9623b05b

[ "MIT" ]

null

def is_uppercase(letter: str): return True if 65 <= ord(letter) <= 90 else False def is_lowercase(letter: str): return True if 97 <= ord(letter) <= 122 else False def check_same_case(first: str, second: str) -> bool: if is_uppercase(first) and is_uppercase(second): return True if is_lowercase(first) and is_lowercase(second): return True return False def main(): same_case = check_same_case('?', '?') print(same_case) if __name__ == '__main__': main()

19.653846

54

0.65362

73

511

4.30137

0.356164

0.127389

0.11465

0.121019

0.133758

0

0.022843

0.228963

511

25

55

20.44

0.774112

0

0.133333

0

0.019569

0

1

0.266667

false

0

0.133333

0.6

0.066667

0

null

0

null

0

1

0

1

0

3

020f8e24ee36befcbaf28d702ae5ee6e92843f0c

795

py

Python

composer/algorithms/blurpool/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

2

2022-03-17T04:48:04.000Z

2022-03-20T09:06:19.000Z

composer/algorithms/blurpool/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

null

composer/algorithms/blurpool/__init__.py

jacobfulano/composer

4ad81df2d2ca6e5f0b4922bb2db750cd76ba34e8

[ "Apache-2.0" ]

null

# Copyright 2021 MosaicML. All Rights Reserved. from composer.algorithms.blurpool.blurpool import BlurPool as BlurPool from composer.algorithms.blurpool.blurpool import BlurPoolHparams as BlurPoolHparams from composer.algorithms.blurpool.blurpool import apply_blurpool as apply_blurpool from composer.algorithms.blurpool.blurpool_layers import BlurConv2d as BlurConv2d from composer.algorithms.blurpool.blurpool_layers import BlurMaxPool2d as BlurMaxPool2d from composer.algorithms.blurpool.blurpool_layers import BlurPool2d as BlurPool2d from composer.algorithms.blurpool.blurpool_layers import blur_2d as blur_2d _name = 'BlurPool' _class_name = 'BlurPool' _functional = 'apply_blurpool' _tldr = '' _attribution = '(Zhang, 2019)' _link = 'https://arxiv.org/abs/1904.11486' _method_card = ''

44.166667

87

0.838994

98

795

6.622449

0.367347

0.12943

0.237288

0.323575

0.53621

0.308166

0

0.034626

0.091824

795

17

88

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0.864266

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0.100267

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1

0

false

0

0.5

0

0.5

0

null

0

1

0

null

0

1

0

3

021b5920befafdce3ff24fa801b3d3045663d2fb

1,997

py

Python

mol/wrappers/base.py

cgrambow/mol

47f28a3bfacefe3efb7f9dc8766841980bfc95ac

[ "MIT" ]

null

mol/wrappers/base.py

cgrambow/mol

47f28a3bfacefe3efb7f9dc8766841980bfc95ac

[ "MIT" ]

null

mol/wrappers/base.py

cgrambow/mol

47f28a3bfacefe3efb7f9dc8766841980bfc95ac

[ "MIT" ]

null

from __future__ import annotations from abc import ABC, abstractmethod from collections.abc import Sequence from pathlib import Path from typing import Any, Union import numpy as np class AbstractMol(ABC): """ Base class for pybel.Molecule and rdkit.Chem.Mol wrappers. """ @abstractmethod def __init__(self, *args, smiles: str = None, **kwargs) -> None: """Should be able to instantiate subclass from SMILES""" pass @abstractmethod def __len__(self) -> int: """Number of atoms""" pass @property @abstractmethod def name(self) -> str: pass @name.setter @abstractmethod def name(self, val: str) -> None: pass @property @abstractmethod def smiles(self) -> str: """Canonical SMILES""" pass @property @abstractmethod def symbols(self) -> list[str]: """List of atomic symbols""" pass @property @abstractmethod def coords(self) -> np.ndarray: """Cartesian coordinates""" pass @coords.setter @abstractmethod def coords(self, val: Union[np.ndarray, tuple[Sequence[str], np.ndarray]]) -> None: """Check atomic symbols if setting with tuple of symbols and coordinates""" pass @abstractmethod def copy(self) -> AbstractMol: pass @abstractmethod def merge(self, other: AbstractMol) -> AbstractMol: pass @abstractmethod def get_prop(self, name: str) -> Any: pass @abstractmethod def set_prop(self, name: str, val: Any) -> None: pass @abstractmethod def to(self, frmt: str) -> str: """Convert to string format""" pass @abstractmethod def save(self, path: Union[str, Path], frmt: str) -> None: """Write to file""" pass @abstractmethod def generate_3d_geometry(self) -> None: pass @abstractmethod def optimize_geometry(self) -> None: pass

21.706522

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1,997

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0.368182

0.228188

0.158557

0.097315

0

0.000705

0.289434

1,997

91

88

21.945055

0.839323

0.148222

0

0.590164

0

1

0.262295

false

0.262295

0.098361

0

0.377049

0

null

1

0

null

0

1

0

1

0

3

02301d8c35f4ff85398b8ef0076198e0271fad7d

334

py

Python

modules/api/functional_test/live_tests/internal/color_test.py

slandry90/vinyldns

bf3122bdd5058af53561224adb1984e3b9f1f5bc

[ "Apache-2.0" ]

333

2018-07-27T12:58:40.000Z

2022-03-16T23:05:37.000Z

modules/api/functional_test/live_tests/internal/color_test.py

slandry90/vinyldns

bf3122bdd5058af53561224adb1984e3b9f1f5bc

[ "Apache-2.0" ]

1,010

2018-07-27T14:43:14.000Z

2022-03-25T09:29:43.000Z

modules/api/functional_test/live_tests/internal/color_test.py

slandry90/vinyldns

bf3122bdd5058af53561224adb1984e3b9f1f5bc

[ "Apache-2.0" ]

123

2018-07-26T20:06:04.000Z

2022-02-16T17:12:17.000Z

import pytest from hamcrest import * from vinyldns_python import VinylDNSClient def test_color(shared_zone_test_context): """ Tests that the color endpoint works appropriately """ client = shared_zone_test_context.ok_vinyldns_client result = client.color() assert_that(["green", "blue"], has_item(result))

22.266667

56

0.742515

42

334

5.619048

0.642857

0.084746

0.118644

0.177966

0

0.173653

334

14

57

23.857143

0.855072

0.146707

0

0.033457

0

0.142857

1

0.142857

false

0

0.428571

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

3

023da6b06e695952dd5af6728adbc2b2bff73bc2

150

py

Python

commands/ping.py

t1mosha/Helper5TGBot

ce1d958f463b2836e34b3275dd67c3b8936e4d91

[ "MIT" ]

null

commands/ping.py

t1mosha/Helper5TGBot

ce1d958f463b2836e34b3275dd67c3b8936e4d91

[ "MIT" ]

null

commands/ping.py

t1mosha/Helper5TGBot

ce1d958f463b2836e34b3275dd67c3b8936e4d91

[ "MIT" ]

null

from pyrogram import Client, filters @Client.on_message(filters.command('ping', ['!'])) def ping(client, message): message.reply_text(f"Pong!")

21.428571

50

0.713333

20

150

5.25

0.7

0

0.113333

150

6

51

25

0.789474

0

0.066667

0

1

0.25

false

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

024ce325492f1dccebbda1cd670c5dabe15b61ad

514

py

Python

advertools/__init__.py

amrrs/advertools

c89484d892965cdfa25c6260ac7f2b85ba68aaa8

[ "MIT" ]

null

advertools/__init__.py

amrrs/advertools

c89484d892965cdfa25c6260ac7f2b85ba68aaa8

[ "MIT" ]

null

advertools/__init__.py

amrrs/advertools

c89484d892965cdfa25c6260ac7f2b85ba68aaa8

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for advertools.""" __author__ = """Elias Dabbas""" __email__ = 'eliasdabbas@gmail.com' __version__ = '0.3.0' from advertools.ad_create import ad_create from advertools.ad_from_string import ad_from_string from advertools.extract import extract_mentions, extract_hashtags, extract_emoji from advertools.kw_generate import * from advertools.stopwords import stopwords from advertools.url_builders import url_utm_ga from advertools.word_frequency import word_frequency

32.125

80

0.81323

70

514

5.585714

0.514286

0.250639

0.081841

0

0.008658

0.101167

514

15

81

34.266667

0.837662

0.108949

0

0.084071

0.04646

0

1

0

false

0

0.7

0

0.7

0

null

1

0

null

0

1

0

1

0

3

025b417216792358d0b13b37a7a0bc25a3fafbcd

415

py

Python

python practice/day9/solution.py

rezafari/raspberry

e6720780f3c65ee1809040fc538f793fe44f0111

[ "MIT" ]

19

2017-09-26T04:37:55.000Z

2021-12-15T05:39:57.000Z

python practice/day9/solution.py

rezafari/raspberry

e6720780f3c65ee1809040fc538f793fe44f0111

[ "MIT" ]

44

2017-11-22T04:56:26.000Z

2018-03-17T14:30:00.000Z

python practice/day9/solution.py

rezafari/raspberry

e6720780f3c65ee1809040fc538f793fe44f0111

[ "MIT" ]

21

2017-09-23T05:25:59.000Z

2021-05-31T10:24:49.000Z

########################################################### # # # Solving factorial problem with recursive function # # # ########################################################### def factorial(n): if n == 2: return 2 return n * factorial(n - 1) print(factorial(int(input())))

37.727273

59

0.260241

23

415

4.695652

0.652174

0.185185

0

0.012

0.39759

415

11

60

37.727273

0.42

0.118072

0

1

0.2

false

0

0.6

0.2

1

0

null

0

1

0

null

0

1

0

3

026c95389ab3f93c3a2d284cd47cc13221cdd8ce

4,150

py

Python

hms/models.py

kasparov-creat/hms-api

7cf7da5da59a8bebfd4629fd65ac159ab19319ec

[ "MIT" ]

null

hms/models.py

kasparov-creat/hms-api

7cf7da5da59a8bebfd4629fd65ac159ab19319ec

[ "MIT" ]

null

hms/models.py

kasparov-creat/hms-api

7cf7da5da59a8bebfd4629fd65ac159ab19319ec

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import User from django.db.models.signals import post_save from django.dispatch import receiver departments=[('Cardiologist','Cardiologist'), ('Dermatologist','Dermatologist'), ('Emergency Medicine Specialist','Emergency Medicine Specialist'), ('Allergist/Immunologist','Allergist/Immunologist'), ('Anesthesiologist','Anesthesiologist'), ('Colon and Rectal Surgeon','Colon and Rectal Surgeon') ] class Doctor(models.Model): user=models.OneToOneField(User,on_delete=models.CASCADE) name=models.CharField(max_length=40, default='doctor') profile_pic= models.ImageField(upload_to='profile_photos/Doctor/', default='profile_photos/Doctor/default_ku6ks9.jpg') address = models.CharField(max_length=40) mobile = models.CharField(max_length=20) department= models.CharField(max_length=50,choices=departments,default='Cardiologist') status=models.BooleanField(default=False) @receiver(post_save, sender=User) def create_doctor_profile(sender, instance, created, **kwargs): if created: Doctor.objects.create(user=instance) @receiver(post_save, sender=User) def save_doctor_profile(sender, instance, created=False, **kwargs): instance.doctor.save() def save_doctor(self): self.save() def delete_doctor(self): self.delete() @classmethod def find_doctor(cls,name): return cls.objects.filter(name__icontains=name) @classmethod def get_patient(cls,name): patient = cls.objects.filter(patient__name__icontains=name) return patient @property def get_name(self): return self.name @property def get_id(self): return self.user.id def __str__(self): return self.name class Patient(models.Model): user=models.OneToOneField(User,on_delete=models.CASCADE) name=models.CharField(max_length=40, default='patient') profile_pic= models.ImageField(upload_to='profile_photos/Doctor/', default='profile_photos/Patient/default_olh4qq.jpg') address = models.CharField(max_length=40) mobile = models.CharField(max_length=20,null=False) symptoms = models.CharField(max_length=100,null=False) assignedDoctorId = models.PositiveIntegerField(null=True) admitDate=models.DateField(auto_now=True) status=models.BooleanField(default=False) @receiver(post_save, sender=User) def create_patient_profile(sender, instance, created, **kwargs): if created: Patient.objects.create(user=instance) @receiver(post_save, sender=User) def save_patient_profile(sender, instance, created=False, **kwargs): instance.patient.save() def save_patient(self): self.save() def delete_patient(self): self.delete() @classmethod def find_patient(cls,name): return cls.objects.filter(name__icontains=name) @property def get_name(self): return self.user.first_name+" "+self.user.last_name @property def get_id(self): return self.user.id def __str__(self): return self.name class Appointment(models.Model): patientId=models.PositiveIntegerField(null=True) doctorId=models.PositiveIntegerField(null=True) patientName=models.CharField(max_length=40,null=True) doctorName=models.CharField(max_length=40,null=True) appointmentDate=models.DateField(auto_now=True) description=models.TextField(max_length=500) status=models.BooleanField(default=False) def save_appointment(self): self.save() def delete_appointment(self): self.delete() @classmethod def find_doctor(cls,name): return cls.objects.filter(name__icontains=name) @classmethod def find_patient(cls,name): return cls.objects.filter(name__icontains=name) @classmethod def find_appointment(cls,patientName): return cls.objects.filter(patientName__icontains=patientName) def __str__(self): return self.patientName

31.923077

123

0.701205

483

4,150

5.855072

0.202899

0.035007

0.063649

0.084866

0.613508

0.543847

0.538897

0.428571

0

0.008043

0.191084

4,150

130

124

31.923077

0.834376

0

0.49

0

0.092267

0.040713

0

1

0.23

false

0

0.04

0.12

0.66

0

null

0

null

0

1

0

1

0

3

027828d262490d6b9e60f7d2eac8c846dc4b067f

1,404

py

Python

formalarg/extension.py

Amande-WP5/formalarg

e0849ae6955eddec9d0f8e69b1d07f8d33798738

[ "MIT" ]

null

formalarg/extension.py

Amande-WP5/formalarg

e0849ae6955eddec9d0f8e69b1d07f8d33798738

[ "MIT" ]

null

formalarg/extension.py

Amande-WP5/formalarg

e0849ae6955eddec9d0f8e69b1d07f8d33798738

[ "MIT" ]

null

from . import Relation class Extension: def __init__(self, *arguments): self.arguments = arguments def add_arguments(self, *arguments): self.arguments += arguments def is_conflicting(self, relations): return any(rel for rel in relations if rel.relfrom in self.arguments and rel.relto in self.arguments) def is_conflict_free(self, relations): return not self.is_conflicting(relations) def is_admissible(self, relations): if not self.is_conflict_free(relations): return False return not any(arg for arg in self.arguments if not arg.is_acceptable(self, relations)) def is_complete(self, arguments, relations): if not self.is_admissible(relations): return False for arg in arguments: if arg.is_acceptable(self, relations) and not arg in self.arguments: return False return True def is_stable(self, arguments, relations): if not self.is_conflict_free(relations): return False arg_not_in_ext = [arg for arg in arguments if not arg in self.arguments] atked = [rel.relto for rel in relations if rel.relfrom in self.arguments and rel.relto in arg_not_in_ext] return not any(arg for arg in arg_not_in_ext if arg not in atked) def __str__(self): return ', '.join(str(arg) for arg in self.arguments)

36.947368

113

0.674501

199

1,404

4.59799

0.180905

0.184699

0.114754

0.048087

0.634973

0.462295

0.338798

0.238251

0

0.254986

1,404

38

114

36.947368

0.874761

0

0.206897

0

0.001423

0

1

0.275862

false

0

0.034483

0.103448

0.689655

0

null

0

null

0

1

0

1

0

3

65efe2ad29f2fa8443d34f5b8553d61704e499e9

20,565

py

Python

src/thsData/constants_10jqka.py

EasyStock/Bull

388537b389646c3c315ec51de9c3856012b1f644

[ "Apache-2.0" ]

null

src/thsData/constants_10jqka.py

EasyStock/Bull

388537b389646c3c315ec51de9c3856012b1f644

[ "Apache-2.0" ]

null

src/thsData/constants_10jqka.py

EasyStock/Bull

388537b389646c3c315ec51de9c3856012b1f644

[ "Apache-2.0" ]

null

# coding=utf-8 ''' Created on 2017年11月25日 @author: jianpinh ''' eng_10jqka_CookieList = [ 'AcL0X6qrL2k4wjM1rx64KE2PFcMhk8ameJe60Qzb7jXgX2x39CMWvUgnCuXc', 'AQI0H2rr7yl4gvABCen4aA1PVQNh0wayuNf6B0wbLnUgn6y3NGNW_YhnSiUc', 'AR0rznlCGEhb2_-QOepvqU4GKvISOlGMW261YN_iWXSjljNmp4phXOu-xTlv', 'AePVMIOgvj4xWXH-c8aJf_TEdCyI2HeWsWy7ZBVAP8K5VA3YnagHasE8S5El', 'AeHXOpWWHER_d7PExdHrFeoa9qb-jlUMfwL5vkO23ehHqg_Si95lUA9SCXTT', 'AQ85tPfMivJ9fY36Z5g9IyhgmKgcNGPp_YhnYCEcq36F8CFcKQTzpg1Y94gx', 'AQ07vgkyaBirC8_AyZcf2d62GiKC6kEDyx6luk-SSaQTRiNWFzpRjFtutXPf', 'ASwanfB9WQsSvE7DQIhOynfB-wFb5dAw0onkeYZtOFd6kcI1rvWgHyKZtPfW', 'AQw6PRCduavyHK4jYEluKleh22E7RbAQsunEmWbNGLda8aJVjlWAfwL5lFa2', 'ASsdGPvY9oY5QSkm-yxRF-wsvEQQQD89uVQDXJ2oB2rBPEUwJRDPEskkk9Ct', 'AUh-wfRJhZ-ugOrvxBzivjuNH71f8awEjlWAVQL5lEO23ebpqgF8i95lUBdS', 'AYm_Aq0uNMzHv8vM7J_TrUJinr7m1nxo58qhtiv-BXCvcqcqcyaN2HcasXC7', 'Aaie4ZRpZb8O4ErPZfgCnpvtf52_0Q277jXgdWLZ9CMWvUaJCuHcaz5FsPKy', 'AcfxzH9UUqp1FdXS_tV1izB4UHCUzJrO9aAfCJm049Z9COlkoZwr_gVwr2yp', 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Python

tfrt/rt_lib.py

henrysky/simple_tf_raytracing

cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb

[ "MIT" ]

null

tfrt/rt_lib.py

henrysky/simple_tf_raytracing

cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb

[ "MIT" ]

null

tfrt/rt_lib.py

henrysky/simple_tf_raytracing

cba18dd544436f1ee44f1e9d064fd3e9e02e7dcb

[ "MIT" ]

null

from abc import ABC, abstractmethod from copy import deepcopy import numpy as np import tensorflow as tf # source: http://geomalgorithms.com/a06-_intersect-2.html # source: https://www.erikrotteveel.com/python/three-dimensional-ray-tracing-in-python/ gpu_phy_devices = tf.config.list_physical_devices('GPU') try: for gpu in gpu_phy_devices: tf.config.experimental.set_memory_growth(gpu, True) except RuntimeError: pass faraway = 99999 # faraway distance precision = tf.float64 # default precision pi = tf.constant(np.pi, dtype=precision) # for numerical stability epsilon if precision == tf.float32: epsilon = tf.constant(1.e-07, precision) elif precision == tf.float64: epsilon = tf.constant(1.e-15, precision) def set_precision(p): global precision precision = p def mag(tensor): """ Calculate magnitude of the vector, return scalar tensor """ if tf.equal(tensor.get_shape().rank, 1): _mag = tf.sqrt(tf.tensordot(tensor, tensor, 1)) else: _mag = tf.sqrt(tf.reduce_sum(tensor*tensor, 1)) return _mag def ray_reflection(rays, normal): """ Calculate reflection of rays `rays` with normal `normal` ` :param rays: Rays directional vector, shape Nx3 :type rays: Ray :param normal: normal vector :type normal: tf.Tensor """ ray_direction = rays.p1 - tf.multiply(normal, tf.expand_dims(tf.reduce_sum(normal * rays.p1, 1), 1)) * 2. # if directional vector small enough, then assume 0. ray_direction = tf.where(tf.greater(tf.abs(ray_direction), epsilon), ray_direction, tf.zeros_like(ray_direction)) return ray_direction def norm(tensor): """ Calculate norm of the vector, return normalized vector """ _mag = mag(tensor) if tf.equal(tensor.get_shape().rank, 1): return tensor * (1.0 / tf.where(tf.less_equal(_mag, epsilon), tf.ones_like(_mag), _mag)) else: return tensor * tf.expand_dims(1.0 / tf.where(tf.less_equal(_mag, epsilon), tf.ones_like(_mag), _mag), 1) def tile_vector(tensor, num): return tf.tile(tf.expand_dims(tensor, 0), [num, 1]) def polar(tensor): _norm = norm(tensor) phi, theta = tf.math.atan2((_norm[:, 0]+epsilon), _norm[:, 1]), tf.math.acos(_norm[:, 2]) return tf.where(tf.less(phi, 0.), 2*pi+phi, phi), theta class Ray: def __init__(self, p0, p1, intensity, interact_num): """ Basic Ray class, originating from `p0` with a directional vector of `p1 ` :param p0: 3D vectors for the origins of rays :type p0: tf.Tensor :param p1: 3D vectors for the origins of rays :type p1: tf.Tensor :param intensity: Initial intensity of rays :type intensity: tf.Tensor :param interact_num: Initial number of interaction experienced by rays :type interact_num: tf.Tensor """ self.p0 = p0 # ray origins self.p1 = p1 # ray direction self.intensity = intensity self.interact_num = interact_num p0_rows, p0_columns = p0.get_shape() tf.debugging.assert_equal(tf.size(self.p0), tf.size(self.p1), message="Rays shape not equal") tf.debugging.assert_equal(p0_rows, tf.size(self.intensity), message="Rays shape not equal") tf.debugging.assert_equal(p0_rows, tf.size(self.interact_num), message="Rays shape not equal") def __getitem__(self, key): return Ray(self.p0[key], self.p1[key], self.intensity[key], self.interact_num[key]) def __setitem__(self, key, value): if key.dtype == tf.bool: key_3 = tf.concat([tf.expand_dims(key, 1), tf.expand_dims(key, 1), tf.expand_dims(key, 1)], 1) self.p0 = tf.where(key_3, value.p0, self.p0) self.p1 = tf.where(key_3, value.p1, self.p1) self.intensity = tf.where(key, value.intensity, self.intensity) self.interact_num = tf.where(key, value.interact_num, self.interact_num) else: self.p0[key] = value.p0 self.p1[key] = value.p1 self.intensity[key] = value.intensity self.interact_num[key] = value.interact_num def size(self): num_rays = tf.size(self.p0) // 3 return num_rays def copy(self): return deepcopy(self) class Surface(ABC): """ Basic class for surfaces """ def __init__(self): pass @abstractmethod def vertices(self): pass class Triangle(Surface): def __init__(self, v0, v1, v2, reflectivity=1.): """ A triangle with vertices `v0`, `v1`, `v2` and `reflectivity` :param v0: 3D vectors for a vertex :type v0: tf.Tensor :param v1: 3D vectors for a vertex :type v1: tf.Tensor :param v2: 3D vectors for a vertex :type v2: tf.Tensor :param reflectivity: Reflectivity of the surface :type reflectivity: float """ super().__init__() self.v0 = tf.cast(v0, precision) self.v1 = tf.cast(v1, precision) self.v2 = tf.cast(v2, precision) self.u = self.v1 - self.v0 self.v = self.v2 - self.v0 self.reflectivity = reflectivity self.normal = norm(tf.linalg.cross(self.u, self.v)) @property def vertices(self): return tf.stack([self.v0, self.v1, self.v2]) def intersect(self, rays): num_rays = rays.size() tiled_v = tile_vector(self.v, num_rays) tiled_u = tile_vector(self.u, num_rays) tiled_normal = tile_vector(self.normal, num_rays) b = tf.reduce_sum(tiled_normal*rays.p1, 1) a = tf.reduce_sum(tiled_normal*(self.v0 - rays.p0), 1) # check if the ray is close enough to be parallel or close enough to lie in the plane cond_0_1 = tf.greater(tf.abs(b), epsilon) cond_0_2 = tf.greater(tf.abs(a), epsilon) cond_0 = tf.logical_and(cond_0_1, cond_0_2) rI = tf.expand_dims(tf.where(tf.logical_or(cond_0, tf.less(a/b, 0.)), a/b, tf.zeros_like(a)), -1) rI = tf.where(tf.greater(tf.abs(rI), epsilon), rI, tf.zeros_like(rI)) p_intersect = rays.p0 + rays.p1 * rI w = p_intersect - self.v0 # p0 + rI * p1 - v0 wv_dot = tf.reduce_sum(w*tiled_v, 1) wu_dot = tf.reduce_sum(w*tiled_u, 1) uv_dot = tf.tensordot(self.u, self.v, 1) uu_dot = tf.tensordot(self.u, self.u, 1) vv_dot = tf.tensordot(self.v, self.v, 1) denom = uv_dot * uv_dot - uu_dot * vv_dot si = (uv_dot * wv_dot - vv_dot * wu_dot) / denom ti = (uv_dot * wu_dot - uu_dot * wv_dot) / denom ray_direction = ray_reflection(rays, tiled_normal) cond_1 = tf.less_equal(tf.squeeze(rI), 0.) cond_2 = tf.less(si, 0.) cond_3 = tf.greater(si, 1.) cond_4 = tf.less(ti, 0.) cond_5 = tf.greater(si + ti, 1.) no_interaction_idx = tf.logical_or(tf.logical_or(tf.logical_or(tf.logical_or(cond_1, cond_2), cond_3), cond_4), cond_5) no_interaction_idx_3 = tf.concat([tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1)], 1) _p_intersect = tf.where(no_interaction_idx_3, rays.p0, p_intersect) ray_direction = tf.where(no_interaction_idx_3, rays.p1, ray_direction) new_interact_num = tf.where(no_interaction_idx, rays.interact_num, rays.interact_num+1) new_intensity = tf.where(no_interaction_idx, rays.intensity, rays.intensity*self.reflectivity) return Ray(_p_intersect, ray_direction, intensity=new_intensity, interact_num=new_interact_num) class Plane(Surface): def __init__(self, v0, v1, v2, v3, reflectivity=1.): """ A plane with vertices `v0`, `v1`, `v2` and `reflectivity` :param v0: 3D vectors for a vertex :type v0: tf.Tensor :param v1: 3D vectors for a vertex :type v1: tf.Tensor :param v2: 3D vectors for a vertex :type v2: tf.Tensor :param v3: 3D vectors for a vertex :type v3: tf.Tensor :param reflectivity: Reflectivity of the surface :type reflectivity: tf.Tensor """ super().__init__() self.v0 = tf.cast(v0, precision) self.v1 = tf.cast(v1, precision) self.v2 = tf.cast(v2, precision) self.v3 = tf.cast(v3, precision) self.u = self.v1 - self.v0 self.v = self.v3 - self.v0 self.reflectivity = reflectivity self.normal = norm(tf.linalg.cross(self.u, self.v)) @property def vertices(self): return tf.stack([self.v0, self.v1, self.v2, self.v3]) def intersect(self, rays): num_rays = rays.size() tiled_v = tile_vector(self.v, num_rays) tiled_u = tile_vector(self.u, num_rays) tiled_normal = tile_vector(self.normal, num_rays) b = tf.reduce_sum(tiled_normal*rays.p1, 1) a = tf.reduce_sum(tiled_normal*(self.v0 - rays.p0), 1) # check if the ray is close enough to be parallel or close enough to lie in the plane cond_0_1 = tf.greater(tf.abs(b), epsilon) cond_0_2 = tf.greater(tf.abs(a), epsilon) cond_0 = tf.logical_and(cond_0_1, cond_0_2) rI = tf.expand_dims(tf.where(tf.logical_or(cond_0, tf.less(a/b, 0.)), a/b, tf.zeros_like(a)), -1) p_intersect = rays.p0 + rays.p1 * rI w = p_intersect - self.v0 # p0 + rI * p1 - v0 wv_dot = tf.reduce_sum(w*tiled_v, 1) wu_dot = tf.reduce_sum(w*tiled_u, 1) uv_dot = tf.tensordot(self.u, self.v, 1) uu_dot = tf.tensordot(self.u, self.u, 1) vv_dot = tf.tensordot(self.v, self.v, 1) denom = uv_dot * uv_dot - uu_dot * vv_dot si = (uv_dot * wv_dot - vv_dot * wu_dot) / denom ti = (uv_dot * wu_dot - uu_dot * wv_dot) / denom ray_direction = ray_reflection(rays, tiled_normal) cond_1 = tf.less(tf.squeeze(rI), epsilon) cond_2 = tf.less(si, 0.) cond_3 = tf.greater(si, 1.) cond_4 = tf.less(ti, 0.) cond_5 = tf.greater(ti, 1.) no_interaction_idx = tf.logical_or(tf.logical_or(tf.logical_or(tf.logical_or(cond_1, cond_2), cond_3), cond_4), cond_5) no_interaction_idx_3 = tf.concat([tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1)], 1) p_intersect = tf.where(no_interaction_idx_3, rays.p0, p_intersect) ray_direction = tf.where(no_interaction_idx_3, rays.p1, ray_direction) new_interact_num = tf.where(no_interaction_idx, rays.interact_num, rays.interact_num+1) new_intensity = tf.where(no_interaction_idx, rays.intensity, rays.intensity*self.reflectivity) return Ray(p_intersect, ray_direction, intensity=new_intensity, interact_num=new_interact_num) class Pyramid: def __init__(self, center, width, height, reflectivity=1.): """ A pyramid :param center: 3D vectors for the center of the base :type center: tf.Tensor :param width: width of the base :type width: float :param height: height of the base :type height: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ self.center = tf.cast(center, precision) # center of the pyramid base self.width = tf.cast(width, precision) # width of the pyramid base self.height = tf.cast(height, precision) self.reflectivity = reflectivity self.top_left = self.center + tf.stack([-1. * self.width / 2., self.width / 2., 0.]) self.top_right = self.center + tf.stack([self.width / 2., self.width / 2., 0.]) self.bottom_left = self.center + tf.stack([-1. * self.width / 2., -1. * self.width / 2., 0.]) self.bottom_right = self.center + tf.stack([self.width / 2., -1. * self.width / 2., 0.]) self.top_v = self.center + tf.stack([0., 0., self.height]) self.vertices = tf.stack([self.top_left, self.top_right, self.bottom_right, self.bottom_left, self.top_v]) self.tri_1 = Triangle(self.top_v, self.top_left, self.top_right, self.reflectivity) self.tri_2 = Triangle(self.top_v, self.top_right, self.bottom_right, self.reflectivity) self.tri_3 = Triangle(self.top_v, self.bottom_right, self.bottom_left, self.reflectivity) self.tri_4 = Triangle(self.top_v, self.bottom_left, self.top_left, self.reflectivity) self.tris = [self.tri_1, self.tri_2, self.tri_3, self.tri_4] def intersect(self, rays): _pt = rays.copy() # by default assume not intersecting with pyramid distance = tf.ones(rays.size(), dtype=precision) * faraway for tri in self.tris: pt = tri.intersect(rays) interacted_idx = tf.greater(pt.interact_num, rays.interact_num) dist = mag(rays.p0-pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) if tf.math.count_nonzero(interacted_w_shortest_idx) == 0: continue else: distance = tf.where(interacted_w_shortest_idx, dist, distance) # its fine, weird indexing _pt[interacted_w_shortest_idx] = pt return _pt class Cone(Surface): def __init__(self, center, radius, height, reflectivity=1.): """ A Cone where the base centered at `center` with height `height` :param center: 3D vectors for the center of the base :type center: tf.Tensor :param radius: radius of the base :type radius: float :param height: height of the base :type height: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ super().__init__() self.center = tf.cast(center, precision) self.radius = tf.cast(radius, precision) self.height = tf.cast(height, precision) self.reflectivity = reflectivity self.c = self.center + tf.cast(tf.stack([0., 0., height]), precision) # vector for the tips self.v = self.center - self.c # vector for the axis self.halfangle = tf.atan(self.radius/self.height) self.halfangle2 = tf.cos(self.halfangle)**2 @property def vertices(self): return tf.stack([self.c]) def intersect(self, rays): # see http://lousodrome.net/blog/light/2017/01/03/intersection-of-a-ray-and-a-cone/ num_rays = rays.size() tiled_v = tile_vector(self.v, num_rays) tiled_c = tile_vector(self.c, num_rays) co = rays.p0 - tiled_c p1v_dot = tf.reduce_sum(rays.p1 * tiled_v, 1) a = p1v_dot * tf.reduce_sum(rays.p1 * tiled_v, 1) - self.halfangle2 b = 2. * (p1v_dot * tf.reduce_sum(tiled_v * co, 1) - tf.reduce_sum(co * rays.p1, 1) * self.halfangle2) c = tf.reduce_sum(co * tiled_v, 1) ** 2 - tf.reduce_sum(co * co, 1) * self.halfangle2 det = b * b - 4. * a * c det = tf.where(tf.greater(det, 0.), tf.sqrt(det), tf.ones_like(det) * -1.) t1 = (-b - det) / (2. * a) t2 = (-b + det) / (2. * a) # close enough to 0 then assume 0 t1 = tf.where(tf.greater(tf.abs(t1), epsilon), t1, tf.zeros_like(t1)) t2 = tf.where(tf.greater(tf.abs(t2), epsilon), t2, tf.zeros_like(t2)) good_t_idx = tf.logical_or(tf.less(t1, 0.), tf.logical_and(tf.greater(t2, 0.), tf.less(t2, t1))) t = tf.where(good_t_idx, t2, t1) bad_t = tf.where(good_t_idx, t1, t2) bad_p_intersect = rays.p0 + tf.multiply(rays.p1, tf.expand_dims(bad_t, 1)) bad_cp = bad_p_intersect - tiled_c bad_h = tf.reduce_sum(bad_cp * tiled_v, 1) bad_cond_3 = tf.logical_or(tf.less(bad_h, 0.), tf.greater(bad_h, self.height)) p_intersect = rays.p0 + tf.multiply(rays.p1, tf.expand_dims(t, 1)) cp = p_intersect - tiled_c h = tf.reduce_sum(cp * tiled_v, 1) cond_3 = tf.logical_or(tf.less(h, 0.), tf.greater(h, self.height)) t_disagree_idx = tf.not_equal(cond_3, bad_cond_3) t = tf.where(tf.logical_and(t_disagree_idx, tf.logical_not(bad_cond_3)), bad_t, t) p_intersect = rays.p0 + tf.multiply(rays.p1, tf.expand_dims(t, 1)) cp = p_intersect - tiled_c h = tf.reduce_sum(cp * tiled_v, 1) cond_3 = tf.logical_or(tf.less(h, 0.), tf.greater(h, self.height)) normal = norm(tf.multiply(cp, tf.expand_dims(tf.reduce_sum(tiled_v * cp, 1) / tf.reduce_sum(cp * cp, 1), 1)) - tiled_v) ray_direction = ray_reflection(rays, normal) cond_1 = tf.less(det, 0.) cond_2 = tf.less_equal(t, 0.) no_interaction_idx = tf.logical_or(tf.logical_or(cond_1, cond_2), cond_3) no_interaction_idx_3 = tf.concat([tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1), tf.expand_dims(no_interaction_idx, 1)], 1) p_intersect = tf.where(no_interaction_idx_3, rays.p0, p_intersect) ray_direction = tf.where(no_interaction_idx_3, rays.p1, ray_direction) new_interact_num = tf.where(no_interaction_idx, rays.interact_num, rays.interact_num + 1) new_intensity = tf.where(no_interaction_idx, rays.intensity, rays.intensity * self.reflectivity) return Ray(p_intersect, ray_direction, intensity=new_intensity, interact_num=new_interact_num) class PyramidArray: def __init__(self, center, width, height, resolution, spacing=0., reflectivity=0.1): """ An array of pyramid :param center: 3D vectors for the center of the base :type center: tf.Tensor :param width: width of the base :type width: float :param height: height of the base :type height: float :param resolution: number of pyramid at each side :type resolution: tuple :param spacing: spacing between each pyramid :type spacing: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ self.center = tf.cast(center, precision) # detector center self.width = tf.cast(width, precision) # pixel width self.height = tf.cast(height, precision) # pixel width self.resolution = resolution # resolution (W x H) self.spacing = spacing # spacing between pyramids self.reflectivity = reflectivity self.num_pixel = tf.reduce_prod(self.resolution) self.x_append = (self.resolution[0] - 1) * self.spacing # total extra space from spacing self.y_append = (self.resolution[1] - 1) * self.spacing # total extra space from spacing self.x, self.y = self.pixels_locations() # center of each pyramid self.top_left = self.center + tf.stack([-1. * self.width * self.resolution[0] / 2. - self.x_append/2, self.width * self.resolution[1] / 2. + self.y_append/2, 0.]) self.top_right = self.center + tf.stack([self.width * self.resolution[0] / 2. + self.x_append/2, self.width * self.resolution[1] / 2. + self.x_append/2, 0.]) self.bottom_left = self.center + tf.stack([-1. * self.width * self.resolution[0] / 2. - self.x_append/2, -1. * self.width * self.resolution[1] / 2. - self.x_append/2, 0.]) self.bottom_right = self.center + tf.stack([self.width * self.resolution[0] / 2. + self.x_append/2, -1. * self.width * self.resolution[1] / 2. - self.y_append/2, 0.]) self.pyramid_list = [self.get_pyramid_from_array(i) for i in range(self.num_pixel)] self.backplane = Plane(self.top_left, self.top_right, self.bottom_right, self.bottom_left) # the plane where pyramids are sitting on, in case spacing != 0 def pixels_locations(self): physical_w = self.width * self.resolution[0] + self.x_append physical_h = self.width * self.resolution[1] + self.y_append all_w = physical_w / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[0]-1., dtype=precision), self.resolution[0]) * self.width) - self.width / 2. all_h = physical_h / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[1]-1., dtype=precision), self.resolution[1]) * self.width) - self.width / 2. all_w = all_w - (np.array([range(0, self.resolution[0])]) * self.spacing) all_h = all_h - (np.array([range(0, self.resolution[0])]) * self.spacing) x, y = tf.meshgrid(all_w, all_h) return x, y def get_pyramid_from_array(self, i): assert i < self.num_pixel i = np.unravel_index(i, self.resolution) return Pyramid(self.center + tf.concat([self.x[i], self.y[i], 0.], 0), self.width, self.height, reflectivity=self.reflectivity) def intersect(self, rays): _pt = rays.copy() # by default assume not intersecting with pyramid distance = tf.ones(rays.size(), dtype=precision) * faraway for i in range(self.num_pixel): pt = self.pyramid_list[i].intersect(rays) interacted_idx = tf.greater(pt.interact_num, rays.interact_num) dist = mag(rays.p0-pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) if tf.math.count_nonzero(interacted_w_shortest_idx) == 0: continue else: distance = tf.where(interacted_w_shortest_idx, dist, distance) # its fine, weird indexing _pt[interacted_w_shortest_idx] = pt __pt = self.backplane.intersect(rays) interacted_idx = tf.greater(__pt.interact_num, rays.interact_num) dist = mag(rays.p0-__pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) _pt[interacted_w_shortest_idx] = __pt return _pt class ConeArray: def __init__(self, center, radius, height, resolution, spacing=0., reflectivity=0.1): """ An array of cones :param center: 3D vectors for the center of the base :type center: tf.Tensor :param radius: radius of the base :type radius: float :param height: height of the base :type height: float :param resolution: number of pyramid at each side :type resolution: tuple :param spacing: spacing between each pyramid :type spacing: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ self.center = tf.cast(center, precision) # detector center self.radius = tf.cast(radius, precision) # cone base radius self.height = tf.cast(height, precision) # cone height self.resolution = resolution # resolution (W x H) self.spacing = spacing # spacing between pyramids self.reflectivity = reflectivity self.num_pixel = tf.reduce_prod(self.resolution) self.x_append = (self.resolution[0] - 1) * self.spacing # total extra space from spacing self.y_append = (self.resolution[1] - 1) * self.spacing # total extra space from spacing self.x, self.y = self.pixels_locations() # center of each cone self.top_left = self.center + tf.stack([-2. * self.radius * self.resolution[0] / 2. - self.x_append / 2, 2. * self.radius * self.resolution[1] / 2. + self.y_append / 2, 0.]) self.top_right = self.center + tf.stack([2. * self.radius * self.resolution[0] / 2. + self.x_append / 2, 2. * self.radius * self.resolution[1] / 2. + self.x_append / 2, 0.]) self.bottom_left = self.center + tf.stack([-2. * self.radius * self.resolution[0] / 2. - self.x_append / 2, -2. * self.radius * self.resolution[1] / 2. - self.x_append / 2, 0.]) self.bottom_right = self.center + tf.stack([2. * self.radius * self.resolution[0] / 2. + self.x_append / 2, -2. * self.radius * self.resolution[1] / 2. - self.y_append / 2, 0.]) self.pyramid_list = [self.get_pyramid_from_array(i) for i in range(self.num_pixel)] self.backplane = Plane(self.top_left, self.top_right, self.bottom_right, self.bottom_left) # the plane where pyramids are sitting on, in case spacing != 0 def pixels_locations(self): physical_w = 2 * self.radius * self.resolution[0] + self.x_append physical_h = 2 * self.radius * self.resolution[1] + self.y_append all_w = physical_w / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[0] - 1., dtype=precision), self.resolution[0]) * self.radius * 2.) - self.radius all_h = physical_h / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[1] - 1., dtype=precision), self.resolution[1]) * self.radius * 2.) - self.radius all_w = all_w - (np.array([range(0, self.resolution[0])]) * self.spacing) all_h = all_h - (np.array([range(0, self.resolution[0])]) * self.spacing) x, y = tf.meshgrid(all_w, all_h) return x, y def get_pyramid_from_array(self, i): assert i < self.num_pixel i = np.unravel_index(i, self.resolution) return Cone(self.center + tf.concat([self.x[i], self.y[i], 0.], 0), self.radius, self.height, reflectivity=self.reflectivity) def intersect(self, rays): _pt = rays.copy() # by default assume not intersecting with pyramid distance = tf.ones(rays.size(), dtype=precision) * faraway for i in range(self.num_pixel): pt = self.pyramid_list[i].intersect(rays) interacted_idx = tf.greater(pt.interact_num, rays.interact_num) dist = mag(rays.p0 - pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) if tf.math.count_nonzero(interacted_w_shortest_idx) == 0: continue else: distance = tf.where(interacted_w_shortest_idx, dist, distance) # its fine, weird indexing _pt[interacted_w_shortest_idx] = pt __pt = self.backplane.intersect(rays) interacted_idx = tf.greater(__pt.interact_num, rays.interact_num) dist = mag(rays.p0 - __pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) _pt[interacted_w_shortest_idx] = __pt return _pt class ConeDenseArray: def __init__(self, center, radius, coneheight, width, height, reflectivity=0.1): """ An array of dense cones (fit as many cone as possible automatically) See https://www.engineeringtoolbox.com/circles-within-rectangle-d_1905.html :param center: 3D vectors for the center of the base :type center: tf.Tensor :param radius: radius of the base :type radius: float :param coneheight: height of the base :type coneheight: float :param width: width of the box to be filled with cones :type width: float :param height: height of the base :type height: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ self.center = tf.cast(center, precision) # detector center self.radius = tf.cast(radius, precision) # cone base radius self.coneheight = tf.cast(coneheight, precision) # cone height self.height = tf.cast(height, precision) # backplane height self.width = tf.cast(width, precision) # backplane width self.reflectivity = reflectivity self.x, self.y = self.pixels_locations() # center of each cone self.num_pixel = tf.reduce_prod(tf.shape(self.x)) self.top_left = self.center + tf.stack([-1. * self.width / 2., self.height / 2., 0.]) self.top_right = self.center + tf.stack([self.width / 2., self.height / 2., 0.]) self.bottom_left = self.center + tf.stack([-1. * self.width / 2., -1. * self.height / 2., 0.]) self.bottom_right = self.center + tf.stack([self.width / 2., -1. * self.height / 2., 0.]) self.pyramid_list = [self.get_cones_from_array(i) for i in range(self.num_pixel)] self.backplane = Plane(self.top_left, self.top_right, self.bottom_right, self.bottom_left) def pixels_locations(self): rw, rh = self.width, self.height cd, cs = self.radius * 2, 0. assert rw > 0. triangle = 0 x_loc = np.zeros(99999) y_loc = np.zeros(99999) posX = cd / 2 + cs posY = cd / 2 + cs counter = 0 while posY+cd / 2 <= rh: while (posX + cd /2 + cs <= rw): x_loc[counter] = posX y_loc[counter] = posY counter = counter + 1 posX = posX + (cd + cs) if triangle == 0: posX = (cd + 1.5*cs) triangle = 1 else: posX = cd / 2 + cs triangle = 0 posY = posY + np.power(np.power((cd + cs), 2) * 0.75, 0.5) # origin was assumed as bottom left corner, need to shift origin to the center of the backplane x_loc -= self.width/2 y_loc -= self.height/2 # multiple y by -1 to flip the array top-down return x_loc[:counter], y_loc[:counter] * -1. def get_cones_from_array(self, i): assert i < self.num_pixel return Cone(self.center + tf.concat([self.x[i], self.y[i], 0.], 0), self.radius, self.coneheight, reflectivity=self.reflectivity) def intersect(self, rays): _pt = rays.copy() # by default assume not intersecting with pyramid distance = tf.ones(rays.size(), dtype=precision) * faraway for i in range(self.num_pixel): pt = self.pyramid_list[i].intersect(rays) interacted_idx = tf.greater(pt.interact_num, rays.interact_num) dist = mag(rays.p0 - pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) if tf.math.count_nonzero(interacted_w_shortest_idx) == 0: continue else: distance = tf.where(interacted_w_shortest_idx, dist, distance) # its fine, weird indexing _pt[interacted_w_shortest_idx] = pt __pt = self.backplane.intersect(rays) interacted_idx = tf.greater(__pt.interact_num, rays.interact_num) dist = mag(rays.p0 - __pt.p0) # get the distance interacted_w_shortest_idx = tf.logical_and(interacted_idx, tf.less(dist, distance)) _pt[interacted_w_shortest_idx] = __pt return _pt class Detector: """ A detector lying on a horizontal plane """ def __init__(self, center, resolution, pixel_width, reflectivity=0.): """ A class for retengular detector :param center: 3D vectors for the center of the base :type center: tf.Tensor :param resolution: number of pyramid at each side :type resolution: tuple :param pixel_width: width of the pixel :type pixel_width: float :param reflectivity: Reflectivity of the surface :type reflectivity: float """ self.center = tf.cast(center, precision) # detector center self.pixel_width = tf.cast(pixel_width, precision) # pixel width self.resolution = resolution # resolution (W x H) self.num_pixel = tf.reduce_prod(self.resolution) self.x, self.y = self.pixels_locations() self.reflectivity = reflectivity self.top_left = self.center + tf.stack([-1. * self.pixel_width * self.resolution[0] / 2., self.pixel_width * self.resolution[1] / 2., 0.]) self.top_right = self.center + tf.stack([self.pixel_width * self.resolution[0] / 2., self.pixel_width * self.resolution[1] / 2., 0.]) self.bottom_left = self.center + tf.stack([-1. * self.pixel_width * self.resolution[0] / 2., -1. * self.pixel_width * self.resolution[1] / 2., 0.]) self.bottom_right = self.center + tf.stack([self.pixel_width * self.resolution[0] / 2., -1. * self.pixel_width * self.resolution[1] / 2., 0.]) self.u = self.top_right - self.top_left self.v = self.bottom_left - self.top_left self.normal = norm(tf.linalg.cross(self.u, self.v)) self.plane = Plane(self.top_left, self.top_right, self.bottom_right, self.bottom_left) def pixels_locations(self): physical_w = self.pixel_width * self.resolution[0] physical_h = self.pixel_width * self.resolution[1] all_w = physical_w / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[0]-1., dtype=precision), self.resolution[0]) * self.pixel_width) - self.pixel_width / 2. all_h = physical_h / 2. - (tf.linspace(tf.constant(0., dtype=precision), tf.constant(self.resolution[1]-1., dtype=precision), self.resolution[1]) * self.pixel_width) - self.pixel_width / 2. x, y = tf.meshgrid(all_w, all_h) return x, y def get_random_rays_from_pixel(self, i, num=1): assert i < self.num_pixel i = np.unravel_index(i, self.resolution) xi = tf.random.uniform([num, 1], self.x[i]-self.pixel_width/2, self.x[i]+self.pixel_width/2, precision) yi = tf.random.uniform([num, 1], self.y[i]-self.pixel_width/2, self.y[i]+self.pixel_width/2, precision) xdirecti = tf.random.uniform([num, 1], -10., 10., precision) ydirecti = tf.random.uniform([num, 1], -10., 10., precision) # hard code x-y direction minium to not waste ray?? return Ray(self.center + tf.concat([xi, yi, tf.zeros((num, 1), dtype=precision)], 1), tf.concat([xdirecti, ydirecti, tf.ones((num, 1), dtype=precision)*-1.], 1), intensity=tf.ones(num, dtype=precision), interact_num=tf.zeros(num, dtype=tf.int32)) def intersect(self, rays): return self.plane.intersect(rays)

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5a0d1d0ca08a8167c7712b25fedc04a61eec3276

475

py

Python

code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py

GaryWonggg/Paython-Learning

8636358a96caf062cf68a43826810a6cf5ab2496

[ "MIT" ]

null

code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py

GaryWonggg/Paython-Learning

8636358a96caf062cf68a43826810a6cf5ab2496

[ "MIT" ]

1

2021-01-02T15:41:19.000Z

code/Python Crash Course A Hands-On/PART I-BASICS/Chapter 2/apostrophe.py

GaryWonggg/Paython-Learning

8636358a96caf062cf68a43826810a6cf5ab2496

[ "MIT" ]

null

""" Avoiding Syntax Errors with Strings Here’s how to use single and double quotes correctly. """ message = "One of Python's strengths is its diverse community." print(message) """ split line for each point """ print("------------------------------split line------------------------------") ''' However, if you use single quotes, Python can’t identify where the string should end ''' # message = 'One of Python's strengths is its diverse community.' # print(message)

19.791667

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0.629474

62

475

4.822581

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0.060201

0.080268

0.120401

0.408027

0

0.153684

475

23

85

20.652174

0.743781

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0.715976

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null

0

1

null

0

1

0

3

5a14a3edf9f0fd31e76bdce877f828e9a53d21cd

2,200

py

Python

CodeWars/ip validator.py

SabariVig/python-programs

682f11df8157d4a070c294eded341f86845e38a8

[ "MIT" ]

null

CodeWars/ip validator.py

SabariVig/python-programs

682f11df8157d4a070c294eded341f86845e38a8

[ "MIT" ]

1

2018-07-11T10:49:29.000Z

2018-07-11T10:51:25.000Z

CodeWars/ip validator.py

SabariVig/python-programs

682f11df8157d4a070c294eded341f86845e38a8

[ "MIT" ]

null

################## CODE WARS KATA ################## #KYU LEVEL : 6 #KATA TITLE :IP Validation #KATA LINK : https://www.codewars.com/kata/ip-validation/train/python ##################################################### import re def is_valid_IP(ip): """Validates IPv4 addresses. """ qq=ip.split(".") if len(qq) ==4: pattern = re.compile(r""" ^ (?: # Dotted variants: (?: # Decimal 1-255 (no leading 0's) [3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2} | 0x0*[0-9a-f]{1,2} # Hexadecimal 0x0 - 0xFF (possible leading 0's) | 0+[1-3]?[0-7]{0,2} # Octal 0 - 0377 (possible leading 0's) ) (?: # Repeat 0-3 times, separated by a dot \. (?: [3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2} | 0x0*[0-9a-f]{1,2} | 0+[1-3]?[0-7]{0,2} ) ){0,3} | 0x0*[0-9a-f]{1,8} # Hexadecimal notation, 0x0 - 0xffffffff | 0+[0-3]?[0-7]{0,10} # Octal notation, 0 - 037777777777 | # Decimal notation, 1-4294967295: 429496729[0-5]|42949672[0-8]\d|4294967[01]\d\d|429496[0-6]\d{3}| 42949[0-5]\d{4}|4294[0-8]\d{5}|429[0-3]\d{6}|42[0-8]\d{7}| 4[01]\d{8}|[1-3]\d{0,9}|[4-9]\d{0,8} ) $ """, re.VERBOSE | re.IGNORECASE) return pattern.match(ip) is not None ################## TEST CASES ################## print(is_valid_IP('12.255.56.1') == True) print(is_valid_IP('')== False) print(is_valid_IP('abc.def.ghi.jkl')== False) print(is_valid_IP('123.456.789.0')== False) print(is_valid_IP('12.34.56')== False) print(is_valid_IP('12.34.56.1')== False) print(is_valid_IP('12.34.56.-1')== False) print(is_valid_IP('123.045.067.089')== False) print(is_valid_IP('127.1.1.0')== True) print(is_valid_IP('0.0.0.0')== True) print(is_valid_IP('0.34.82.53')== True) print(is_valid_IP('192.168.1.300') == False)

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0.431364

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2,200

2.884375

0.328125

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0.126761

0.182015

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null

0

1

0

1

0

1

0

null

0

3

5a150514209a5eb375f78303b39644f7f641d52a

3,838

py

Python

tests/test_filename.py

alepuzio/listfiles

cddc329cf773016a4703946c338a6e16d81380f5

[ "MIT" ]

null

tests/test_filename.py

alepuzio/listfiles

cddc329cf773016a4703946c338a6e16d81380f5

[ "MIT" ]

null

tests/test_filename.py

alepuzio/listfiles

cddc329cf773016a4703946c338a6e16d81380f5

[ "MIT" ]

1

2021-06-13T12:44:31.000Z

import os import unittest from os.path import splitext from list_files.physical_data import PhysicalData from list_files.physical_data import PhysicalDataFake class Filename: """ class about the filename of a file """ def __init__(self, new_physical): self.physical = new_physical def name(self): """ @return the name of a file, with extension """ #print("Filename.name") list_subdirectory = self.prepare() return list_subdirectory[0] def __hash__(self): return hash(self.physical) def extension(self): """ @return the extension of a file """ return self.prepare()[1] def prepare(self): """ @return the couple <name, extension> of a file """ list_subdirectory = self.physical.path().split(os.sep) list_subdirectory.reverse() #print("Filename.prepare len:{0}".format ( len ( str ( list_subdirectory ) ) ) ) #print("Filename.prepare:{0}".format ( str ( list_subdirectory ) ) ) #if not "." in list_subdirectory[0]:#TODO move in a defensive decorator #raise Exception ("The first element of the list {0} lacks of the dot, please control".format( str(list_subdirectory[0] ) ) ) #print ("The first element of the list {0} lacks of the dot, please control".format( str(list_subdirectory[0] ) ) ) result = SeparationDirectory ( list_subdirectory).split() if "" == result: resul="EMPTY-FILE-#TODO-DONT-PUT-IN-LIST" return result def __lt__(self, other): return self.name() < other.name() def __eq__(self, other): return self.name() == self.name() and self.extension() == self.extension() def __repr__(self): return "Filename.repr:{0}.{1}".format(self.name(), self.extension()) def __str__(self): return "Filename:{0}.{1}".format(self.name(), self.extension()) class SeparationDirectory: """ clsss about the separation of a directory in subdirectory """ def __init__(self, new_list_subdirectory): self.list_subdirectory = new_list_subdirectory def split(self): result = None try: result = self.subdir().split(".") except IndexError: print ("SeparationDirectory.split() split dot: {0}".format( str ( self.subdir() ) )) raise return result def subdir(self): directory = None try: directory = self.list_subdirectory[0] except IndexError: print ("SeparationDirectory.split() access first element: {0}".format( str ( self.list_subdirectory) ) ) raise return directory def __repr__(self): return "SeparationDirectory.repr:{0}".format(str ( self.list_subdirectory)) def __str__(self): return "SeparationDirectory:{0}".format( str ( self.list_subdirectory)) """ Test area """ def test_eq(): one = Filename ( PhysicalDataFake( "nome1.txt", "C:\\path\\") ) two = Filename ( PhysicalDataFake( "nome1.txt", "C:\\path\\") ) assert one == two def test_not_eq(): one = Filename ( PhysicalDataFake( "nome3.txt", "C:\\path\\") ) two = Filename ( PhysicalDataFake( "nome4.txt", "C:\\path\\") ) assert (one == two) def test_separationDirectory_split(): list_dir = ['.travis.yml', 'jcabi-dynamo', 'mio-java', 'personale', 'Documents', 'apuzielli', 'Users', 'C:'] result = SeparationDirectory(list_dir).split() assert result == ['','travis','yml'] def test_separationDirectory_subdir(): list_dir = ['.travis.yml', 'jcabi-dynamo', 'mio-java', 'personale', 'Documents', 'apuzielli', 'Users', 'C:'] result = SeparationDirectory(list_dir).subdir() assert result == ".travis.yml"

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0

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0

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0

null

0

null

0

1

0

1

0

3

5a3c03f646432e8b46bd427ad6fa75d3df61de5e

368

py

Python

core/migrations/0028_auto_20200202_1832.py

baxtea/pipeline

0cbdd4b3ee6d05611e1d3ed5a4936f597182e963

[ "MIT" ]

18

2018-11-14T21:52:33.000Z

2022-03-23T08:10:54.000Z

core/migrations/0028_auto_20200202_1832.py

baxtea/pipeline

0cbdd4b3ee6d05611e1d3ed5a4936f597182e963

[ "MIT" ]

83

2018-09-21T16:08:51.000Z

2022-03-27T20:31:05.000Z

core/migrations/0028_auto_20200202_1832.py

baxtea/pipeline

0cbdd4b3ee6d05611e1d3ed5a4936f597182e963

[ "MIT" ]

6

2019-09-27T20:50:54.000Z

2020-06-12T14:07:38.000Z

# Generated by Django 2.2.9 on 2020-02-02 18:32 from django.db import migrations class Migration(migrations.Migration): dependencies = [("core", "0027_auto_20200202_1822")] operations = [ migrations.RemoveField(model_name="office", name="req_nominations"), migrations.RemoveField(model_name="officesorderable", name="electionPage"), ]

26.285714

83

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43

368

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0.202335

0.233463

0

0.100324

0.160326

368

13

84

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0.731392

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0

1

0

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0.071651

0

1

0

false

0

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0

0.571429

0

null

0

1

0

1

0

null

0

3

5a493e16c7fbe9535fb32817d79565eb88dce21c

653

py

Python

gpu_scraper/web/base.py

m-gentil/gpu-scraper

0cc5061fa83fff491a0092baf81ee7f749dbb54e

[ "MIT" ]

2

2021-03-26T14:04:10.000Z

2021-04-28T07:56:49.000Z

gpu_scraper/web/base.py

m-gentil/gpu-scraper

0cc5061fa83fff491a0092baf81ee7f749dbb54e

[ "MIT" ]

null

gpu_scraper/web/base.py

m-gentil/gpu-scraper

0cc5061fa83fff491a0092baf81ee7f749dbb54e

[ "MIT" ]

null

import logging from abc import ABC, abstractmethod from tenacity import after_log, retry, wait_exponential from gpu_scraper.product import Product _LOGGER = logging.getLogger(__name__) class ProductProvider(ABC): @property def name(self) -> str: return self.__class__.__name__ @abstractmethod def get_available_products(self) -> set[Product]: pass @retry( wait=wait_exponential(multiplier=1, min=1, max=10), # type: ignore after=after_log(_LOGGER, logging.WARNING), # type: ignore ) def retry_get_available_products(self) -> set[Product]: return self.get_available_products()

25.115385

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0.10984

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0.007663

0.200613

653

25

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0

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false

0.055556

0.222222

0.111111

0.555556

0

null

0

null

0

1

0

1

0

3

5a5268d5ca9c606754a79dd145ba73f2d4400164

297

py

Python

data/serializer.py

DavidWz0403/Challange

a9c9051ae92e80c6c7ed849fa968a54a7949bc35

[ "MIT" ]

null

data/serializer.py

DavidWz0403/Challange

a9c9051ae92e80c6c7ed849fa968a54a7949bc35

[ "MIT" ]

null

data/serializer.py

DavidWz0403/Challange

a9c9051ae92e80c6c7ed849fa968a54a7949bc35

[ "MIT" ]

null

from rest_framework import serializers from .models import Data class DataSerializer(serializers.ModelSerializer): class Meta: model = Data fields = ['inputName', 'inputAnswer1', 'inputAnswer2', 'inputAnswer3', 'inputAnswer4', 'inputAnswer5', 'inputAnswer6']

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297

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0.271812

0

1

0

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