xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

dcadba06d3d1dd54ece65a8004a3986299c7345c

679

py

Python

python/convertSVGs.py

JustgeekDE/imdb-visualizations

ebadb8b06b956f0a07a344370457926ad496434e

[ "Unlicense" ]

null

python/convertSVGs.py

JustgeekDE/imdb-visualizations

ebadb8b06b956f0a07a344370457926ad496434e

[ "Unlicense" ]

null

python/convertSVGs.py

JustgeekDE/imdb-visualizations

ebadb8b06b956f0a07a344370457926ad496434e

[ "Unlicense" ]

null

''' Created on 10.08.2014 @author: Philip Peter <philip.peter@justgeek.de> As long as you retain this notice you can do whatever you want with this stuff. If we meet some day, and you think this stuff is worth it, you can buy me a beer in return Philip Peter ''' import os if __name__ == '__main__': pass inputDir = '../plots/svg/' outputDir = '../plots/' width = 1800 heigth = 1200 for item in os.listdir(inputDir): split = item.split(".") if split[-1] == "svg": filename = '.'.join(split[:-1]) print "Converting "+filename os.system("inkscape.exe -z -e "+outputDir+filename+".png -w " + str(width) + " -h " + str(heigth) + " "+inputDir+item)

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f49f790d9571cf03ed43cb10b00ff30ef123ff75

961

py

Python

v2.5.7/toontown/racing/DistributedKartPadAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-01T15:46:43.000Z

2021-07-23T16:26:48.000Z

v2.5.7/toontown/racing/DistributedKartPadAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

1

2019-06-29T03:40:05.000Z

2021-06-13T01:15:16.000Z

v2.5.7/toontown/racing/DistributedKartPadAI.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-28T21:18:46.000Z

2021-02-25T06:37:25.000Z

from direct.directnotify import DirectNotifyGlobal from direct.distributed.DistributedObjectAI import DistributedObjectAI class DistributedKartPadAI(DistributedObjectAI): notify = DirectNotifyGlobal.directNotify.newCategory('DistributedKartPadAI') def __init__(self, air): DistributedObjectAI.__init__(self, air) self.air = air self.startingBlocks = [] self.area = None return def setArea(self, area): self.area = area def d_setArea(self, area): self.sendUpdate('setArea', [area]) def b_setArea(self, area): self.setArea(area) self.d_setArea(self, area) def getArea(self): return self.area def addStartingBlock(self, block): self.startingBlocks.append(block) def updateMovieState(self): pass def removeStartingBlock(self, block): if self.startingBlocks.count(block): self.startingBlocks.remove(block)

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f4a7996845ec8bc3004f9b2f07ce077ddf8b18ec

214

py

Python

src/video_retrieval/FrameSaver.py

DoodleBobBuffPants/EyesInTheSky

1bd18fc40631b0046cbd029a48413f31a63afcca

[ "MIT" ]

null

src/video_retrieval/FrameSaver.py

DoodleBobBuffPants/EyesInTheSky

1bd18fc40631b0046cbd029a48413f31a63afcca

[ "MIT" ]

null

src/video_retrieval/FrameSaver.py

DoodleBobBuffPants/EyesInTheSky

1bd18fc40631b0046cbd029a48413f31a63afcca

[ "MIT" ]

null

# save frames asynchronously import cv2 as cv def frame_saver(queue, lock): while True: lock.take_lock() cv.imwrite("frame.jpg", queue.peek()) # peek non existent lock.release_lock()

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f4aadeae1ada83a420b6b77187f7404ea44db94a

1,529

py

Python

zhiwehu/post/urls.py

zhiwehu/zhiwehu

4d07fa14fc00d5544226326161a0efc2d1202329

[ "Apache-2.0", "BSD-3-Clause" ]

1

2021-05-15T17:40:21.000Z

zhiwehu/post/urls.py

zhiwehu/zhiwehu

4d07fa14fc00d5544226326161a0efc2d1202329

[ "Apache-2.0", "BSD-3-Clause" ]

null

zhiwehu/post/urls.py

zhiwehu/zhiwehu

4d07fa14fc00d5544226326161a0efc2d1202329

[ "Apache-2.0", "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from django.conf.urls import patterns, url from .views import PostListView, PostDetailView urlpatterns = patterns('', # URL pattern for the PostListView # noqa url( regex=r'^$', view=PostListView.as_view(), name='post_list' ), url( regex=r'^category/(?P<category>[\w-]+)/$', view=PostListView.as_view(), name='category_post_list' ), url( regex=r'^tag/(?P<tag>[\w-]+)/$', view=PostListView.as_view(), name='tag_post_list' ), url( regex=r'^(?P<year>\d{4})/(?P<month>\d{1,2})/$', view=PostListView.as_view(), name='archive_post_list' ), url( regex=r'^blog/(?P<slug>[\w-]+)/$', view=PostDetailView.as_view(), name='post_detail' ), url( regex=r'^add/comment/$', view='post.views.add_comment', name='add_comment', ), )

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f4af472ea7697545e5951704f8ee5043fcc2bdef

95

py

Python

freight/__init__.py

buahaha/aa-freight

69eb85188988d7cfaffc7c485d22ddb442a4a2b3

[ "MIT" ]

null

freight/__init__.py

buahaha/aa-freight

69eb85188988d7cfaffc7c485d22ddb442a4a2b3

[ "MIT" ]

null

freight/__init__.py

buahaha/aa-freight

69eb85188988d7cfaffc7c485d22ddb442a4a2b3

[ "MIT" ]

null

default_app_config = "freight.apps.FreightConfig" __version__ = "1.5.1" __title__ = "Freight"

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null

0

1

0

null

0

2

f4b531bd4f8e27016a07006efb457088789ed103

368

py

Python

copycat01.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

copycat01.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

copycat01.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # import additional code to complete our task import shutil import os # move into the working directory os.chdir("/home/student/mycode/") # copy the fileA to fileB shutil.copy("5g_research/sdn_network.txt", "5g_research/sdn_network.txt.copy") # copy the entire directoryA to directoryB shutil.copytree("5g_research/", "5g_research_backup/")

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f4bec0b744cca8c20ff1afc50477b19675f4e48d

2,559

py

Python

prepper.py

shawntan/quora-codesprint-2013

50a119ccb22cdb8bc081cc27f3d68442c0885b82

[ "Unlicense" ]

3

2016-01-24T06:22:10.000Z

2016-06-15T00:16:56.000Z

prepper.py

shawntan/quora-codesprint-2013

50a119ccb22cdb8bc081cc27f3d68442c0885b82

[ "Unlicense" ]

null

prepper.py

shawntan/quora-codesprint-2013

50a119ccb22cdb8bc081cc27f3d68442c0885b82

[ "Unlicense" ]

null

import json,sys,re,math from random import random import numpy as np from pprint import pprint from sklearn import svm from sklearn.pipeline import Pipeline from sklearn.feature_extraction.text import CountVectorizer,TfidfTransformer from sklearn.feature_extraction import DictVectorizer from sklearn.naive_bayes import MultinomialNB,GaussianNB from sklearn.linear_model import SGDClassifier,LogisticRegression from sklearn.ensemble import RandomForestClassifier from sklearn.svm import SVC,LinearSVC,SVR from sklearn.linear_model import * from nltk.tokenize import wordpunct_tokenize from nltk.corpus import stopwords from nltk.corpus import words stopwords = [ w for w in stopwords.words('english') if w not in ['who','what','when','where','how','is'] ] def word_tokenize_filter(string): return [ w for w in wordpunct_tokenize(string) if not re.match(r'^[\'\"\:\;\.\,\!]$',w) ] #eng_words = set([ w.lower() for w in words.words('en') ]) def prep_words(training_data,target,clsf,n): counter = CountVectorizer( tokenizer=word_tokenize_filter, # stop_words=stopwords, binary=True, dtype=np.byte, ngram_range = (1,1), min_df = 1 ) model = Pipeline([ ('vect',counter), ('clsf',clsf) ]) training_data = [ d['question_text'] for d in training_data ] #training_data = input_data[1:5000] model.fit(training_data,target) words = counter.get_feature_names() weights = np.abs(clsf.coef_) important = zip(weights,words) important.sort() print [ w for _,w in important[-n:] ] def prep_topics(training_data,target,clsf,n): counter = DictVectorizer() model = Pipeline([ ('vect',counter), ('clsf',clsf) ]) training_count = int(sys.stdin.next()) training_data = [ { t['name']:1 for t in d['topics']} for d in training_data ] #training_data = input_data[1:5000] model.fit(training_data,target) words = counter.get_feature_names() weights = clsf.coef_.toarray()[0] important = zip(abs(weights),words) important.sort() print [ w for _,w in important[-n:] ] if __name__=="__main__": training_count = int(sys.stdin.next()) training_data = [ json.loads(sys.stdin.next()) for _ in xrange(training_count) ] target = [ math.log(math.log(obj['__ans__']+1)+1) for obj in training_data ] #prep_topics(training_data,target,SVR(kernel='linear'),50) #prep_words(training_data,target,Ridge(),200) training_data.sort(key=lambda x:x['__ans__']) for i in training_data: print "%0.3f %s"%(math.log(math.log(i['__ans__']+0.9)+0.9),i['question_text'].encode('utf-8'))

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2

f4cbf5dfb144c1dccb1554376a7cd38916728ee3

2,040

py

Python

sandbox/simstream/simstream/eventmonitor.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

[ "ECL-2.0", "Apache-2.0" ]

74

2015-04-10T02:57:26.000Z

2022-02-28T16:10:03.000Z

sandbox/simstream/simstream/eventmonitor.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

[ "ECL-2.0", "Apache-2.0" ]

126

2015-04-26T02:55:26.000Z

2022-02-16T22:43:28.000Z

sandbox/simstream/simstream/eventmonitor.py

docquantum/airavata

4ec5fa0aab1b75ca1e98a16648c57cd8abdb4b9c

[ "ECL-2.0", "Apache-2.0" ]

163

2015-01-22T14:05:24.000Z

2022-03-17T12:24:34.000Z

# # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # """ Utility for monitoring collected data. Author: Jeff Kinnison (jkinniso@nd.edu) """ # TODO: Add method to add handlers # TODO: Add method to create PikaProducer # TODO: Add method to use PikaProducer to respond to events # TODO: Add method to deactivate monitor class EventCheckerNotCallableException(Exception): pass class EventHandlerNotCallableException(Exception): pass class EventHandlerDoesNotExistException(Exception): pass class EventMonitor(object): """Checks data for user-defined bounds violations. Instance variables: handlers -- a dict of EventHandler objects indexed by name """ def __init__(self, event_check, handlers={}): self._event_check = event_check self.handlers = handlers def __call__(self, val): if not callable(self._event_check): raise EventCheckerNotCallableException self._run_handler(self.event_check(val)) def _run_handler(self, handler_names): for name in handler_names: if name not in self.handlers: raise EventHandlerDoesNotExistException if not callable(self.handlers[name]): raise EventHandlerNotCallableException self.handlers[name]()

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f4cd42c245f80917627216ad30dc10c24df5fd00

234

py

Python

make_valid.py

shawnlewis/wordle

c7c19f0d1571d07aa4d2bd0e73ee5bf4d0175ccf

[ "MIT" ]

null

make_valid.py

shawnlewis/wordle

c7c19f0d1571d07aa4d2bd0e73ee5bf4d0175ccf

[ "MIT" ]

null

make_valid.py

shawnlewis/wordle

c7c19f0d1571d07aa4d2bd0e73ee5bf4d0175ccf

[ "MIT" ]

null

words_file = open('wordlist.txt') print("export const VALIDGUESSES6 = [") for word in words_file.read().split('\n'): word = word.strip() if word.isalpha() and len(word) == 6: print(' "%s",' % word.lower()) print("];")

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f4d2efff6733a7fa83b900da723a343483f0adb4

488

py

Python

code/part_I_D/arima.py

Spacebody/MCM-ICM-2018-Problem-C

89acbec8b7b08733002e570ff67637e7ba100190

[ "MIT" ]

1

2021-09-18T08:01:19.000Z

code/part_I_D/arima.py

Spacebody/MCM-ICM-2018-Problem-C

89acbec8b7b08733002e570ff67637e7ba100190

[ "MIT" ]

null

code/part_I_D/arima.py

Spacebody/MCM-ICM-2018-Problem-C

89acbec8b7b08733002e570ff67637e7ba100190

[ "MIT" ]

1

2018-05-13T08:39:46.000Z

import pandas as pd import re import numpy as np import os import sys from collections import OrderedDict, defaultdict import matplotlib as mpl import matplotlib.pyplot as plt import seaborn as sns # from theano import * # load state data az_year = pd.read_csv("data/csv/price_expenditures/sector/az/price/teacd.csv", engine='c', low_memory=True)["Year"] az_price = pd.read_csv("data/csv/price_expenditures/sector/az/price/teacd.csv", engine='c', low_memory=True, date_parser=az_year)

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f4de5cc58d12df4855fb7893f7de106c2f5a9481

5,409

py

Python

octavia/controller/worker/v2/flows/flow_utils.py

zhangi/octavia

e68c851fecf55e1b5ffe7d5b849f729626af28a3

[ "Apache-2.0" ]

129

2015-06-23T08:06:23.000Z

2022-03-31T12:38:20.000Z

octavia/controller/worker/v2/flows/flow_utils.py

zhangi/octavia

e68c851fecf55e1b5ffe7d5b849f729626af28a3

[ "Apache-2.0" ]

6

2016-05-20T11:05:27.000Z

2021-03-23T06:05:52.000Z

octavia/controller/worker/v2/flows/flow_utils.py

zhangi/octavia

e68c851fecf55e1b5ffe7d5b849f729626af28a3

[ "Apache-2.0" ]

166

2015-07-15T16:24:05.000Z

2022-03-02T20:54:36.000Z

# 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 octavia.api.drivers import utils as provider_utils from octavia.controller.worker.v2.flows import amphora_flows from octavia.controller.worker.v2.flows import health_monitor_flows from octavia.controller.worker.v2.flows import l7policy_flows from octavia.controller.worker.v2.flows import l7rule_flows from octavia.controller.worker.v2.flows import listener_flows from octavia.controller.worker.v2.flows import load_balancer_flows from octavia.controller.worker.v2.flows import member_flows from octavia.controller.worker.v2.flows import pool_flows LB_FLOWS = load_balancer_flows.LoadBalancerFlows() AMP_FLOWS = amphora_flows.AmphoraFlows() HM_FLOWS = health_monitor_flows.HealthMonitorFlows() L7_POLICY_FLOWS = l7policy_flows.L7PolicyFlows() L7_RULES_FLOWS = l7rule_flows.L7RuleFlows() LISTENER_FLOWS = listener_flows.ListenerFlows() M_FLOWS = member_flows.MemberFlows() P_FLOWS = pool_flows.PoolFlows() def get_create_load_balancer_flow(topology, listeners=None): return LB_FLOWS.get_create_load_balancer_flow(topology, listeners=listeners) def get_delete_load_balancer_flow(lb): return LB_FLOWS.get_delete_load_balancer_flow(lb) def get_listeners_on_lb(db_lb): """Get a list of the listeners on a load balancer. :param db_lb: A load balancer database model object. :returns: A list of provider dict format listeners. """ listener_dicts = [] for listener in db_lb.listeners: prov_listener = provider_utils.db_listener_to_provider_listener( listener) listener_dicts.append(prov_listener.to_dict()) return listener_dicts def get_pools_on_lb(db_lb): """Get a list of the pools on a load balancer. :param db_lb: A load balancer database model object. :returns: A list of provider dict format pools. """ pool_dicts = [] for pool in db_lb.pools: prov_pool = provider_utils.db_pool_to_provider_pool(pool) pool_dicts.append(prov_pool.to_dict()) return pool_dicts def get_cascade_delete_load_balancer_flow(lb, listeners=(), pools=()): return LB_FLOWS.get_cascade_delete_load_balancer_flow(lb, listeners, pools) def get_update_load_balancer_flow(): return LB_FLOWS.get_update_load_balancer_flow() def get_create_amphora_flow(): return AMP_FLOWS.get_create_amphora_flow() def get_delete_amphora_flow(amphora, retry_attempts=None, retry_interval=None): return AMP_FLOWS.get_delete_amphora_flow(amphora, retry_attempts, retry_interval) def get_failover_LB_flow(amps, lb): return LB_FLOWS.get_failover_LB_flow(amps, lb) def get_failover_amphora_flow(amphora_dict, lb_amp_count): return AMP_FLOWS.get_failover_amphora_flow(amphora_dict, lb_amp_count) def cert_rotate_amphora_flow(): return AMP_FLOWS.cert_rotate_amphora_flow() def update_amphora_config_flow(): return AMP_FLOWS.update_amphora_config_flow() def get_create_health_monitor_flow(): return HM_FLOWS.get_create_health_monitor_flow() def get_delete_health_monitor_flow(): return HM_FLOWS.get_delete_health_monitor_flow() def get_update_health_monitor_flow(): return HM_FLOWS.get_update_health_monitor_flow() def get_create_l7policy_flow(): return L7_POLICY_FLOWS.get_create_l7policy_flow() def get_delete_l7policy_flow(): return L7_POLICY_FLOWS.get_delete_l7policy_flow() def get_update_l7policy_flow(): return L7_POLICY_FLOWS.get_update_l7policy_flow() def get_create_l7rule_flow(): return L7_RULES_FLOWS.get_create_l7rule_flow() def get_delete_l7rule_flow(): return L7_RULES_FLOWS.get_delete_l7rule_flow() def get_update_l7rule_flow(): return L7_RULES_FLOWS.get_update_l7rule_flow() def get_create_listener_flow(): return LISTENER_FLOWS.get_create_listener_flow() def get_create_all_listeners_flow(): return LISTENER_FLOWS.get_create_all_listeners_flow() def get_delete_listener_flow(): return LISTENER_FLOWS.get_delete_listener_flow() def get_update_listener_flow(): return LISTENER_FLOWS.get_update_listener_flow() def get_create_member_flow(): return M_FLOWS.get_create_member_flow() def get_delete_member_flow(): return M_FLOWS.get_delete_member_flow() def get_update_member_flow(): return M_FLOWS.get_update_member_flow() def get_batch_update_members_flow(old_members, new_members, updated_members): return M_FLOWS.get_batch_update_members_flow(old_members, new_members, updated_members) def get_create_pool_flow(): return P_FLOWS.get_create_pool_flow() def get_delete_pool_flow(): return P_FLOWS.get_delete_pool_flow() def get_update_pool_flow(): return P_FLOWS.get_update_pool_flow()

29.396739

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0.765391

775

5,409

4.932903

0.174194

0.047083

0.054931

0.0565

0.529689

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0.217892

0.135496

0.076903

0

0.008424

0.16602

5,409

183

80

29.557377

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0.157146

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false

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null

0

null

0

1

0

1

0

2

f4eed8815cb84898320683d05ba025d24a490e96

182

py

Python

2018/1/solution1.py

frenzymadness/aoc

c9018e757bae61a696e675a827aef873995abdd3

[ "WTFPL" ]

2

2020-12-04T09:45:38.000Z

2020-12-07T14:06:12.000Z

2018/1/solution1.py

frenzymadness/aoc

c9018e757bae61a696e675a827aef873995abdd3

[ "WTFPL" ]

null

2018/1/solution1.py

frenzymadness/aoc

c9018e757bae61a696e675a827aef873995abdd3

[ "WTFPL" ]

null

with open("input.txt") as input_file: lines = input_file.readlines() result = 0 for line in lines: print(line.strip(), result) result += int(line.strip()) print(result)

20.222222

37

0.67033

27

182

4.444444

0.592593

0.15

0

0.006711

0.181319

182

8

38

22.75

0.798658

0

0.049451

0

1

0

false

0

0.285714

1

0

null

0

1

0

null

0

2

7604f665e3aa02bc719696d186c91d7d6c300052

3,305

py

Python

120_GruneisenParam/FeNiSi/collectScalingParam.py

r-a-morrison/fe_alloy_sound_velocities

8da1b0d073e93fb4b4be3d61b73e58b7a7a3097b

[ "MIT" ]

null

120_GruneisenParam/FeNiSi/collectScalingParam.py

r-a-morrison/fe_alloy_sound_velocities

8da1b0d073e93fb4b4be3d61b73e58b7a7a3097b

[ "MIT" ]

null

120_GruneisenParam/FeNiSi/collectScalingParam.py

r-a-morrison/fe_alloy_sound_velocities

8da1b0d073e93fb4b4be3d61b73e58b7a7a3097b

[ "MIT" ]

null

# Front matter ############## import os from os import fdopen, remove from tempfile import mkstemp from shutil import move import glob import re import time import pandas as pd import numpy as np from scipy import constants from scipy.optimize import curve_fit, fsolve from scipy.interpolate import interp1d import matplotlib import matplotlib.pyplot as plt from matplotlib.ticker import AutoMinorLocator from matplotlib import gridspec from scipy.interpolate import spline import math import seaborn as sns matplotlib.rc('xtick', labelsize=16) matplotlib.rc('ytick', labelsize=16) rc = {'lines.linewidth': 1, 'axes.labelsize': 20, 'axes.titlesize': 20, 'legend.fontsize': 26, 'xtick.direction': u'in', 'ytick.direction': u'in'} sns.set_style('ticks', rc=rc) start_time = time.time() # Input scaling parameter results ########################################## xi_filename = 'Results/scalingparameters.csv' xi_df = pd.read_csv(xi_filename) # Rename columns to avoid confusion xi_df = xi_df.rename(columns={'Vi':'Vj', 'dVi':'dVj', 'V':'Vk','dV':'dVk', 'V/Vi':'Vk/Vj','xi':'xi(Vk/Vj)','dxi':'dxi(Vk/Vj)'}) # Transform scaling parameters to each reference volume ####################################################### folder_list = xi_df.drop_duplicates(subset='Ref Folder')['Ref Folder'].values for ref_folder in folder_list: # for ref_folder in ['2009Oct_30GPa']: print('Rescaling to '+ref_folder) # Reference volume to scale everything to Vi = xi_df[xi_df['Ref Folder']==ref_folder].iloc[-1]['Vj'] xi_rescaled_df = xi_df[['Vj','Vk','xi(Vk/Vj)','dxi(Vk/Vj)']].copy() xi_rescaled_df['Vi'] = Vi*np.ones(len(xi_rescaled_df)) # rescaled xi(Vk/Vi) = xi(Vk/Vj) * complementary xi(Vj/Vi) # Complementary xi needed to calculate rescaled xi: xi_rescaled_df['xi(Vj/Vi)'] = [xi_rescaled_df[(xi_rescaled_df['Vj']==Vi) & (xi_rescaled_df['Vk']==Vj)].iloc[-1]['xi(Vk/Vj)'] for Vj in xi_rescaled_df['Vj']] xi_rescaled_df['dxi(Vj/Vi)'] = [xi_rescaled_df[(xi_rescaled_df['Vj']==Vi) & (xi_rescaled_df['Vk']==Vj)].iloc[-1]['dxi(Vk/Vj)'] for Vj in xi_rescaled_df['Vj']] xi_rescaled_df['Vk/Vi'] = xi_rescaled_df['Vk']/xi_rescaled_df['Vi'] # Calculate rescaled xi xi_rescaled_df['xi(Vk/Vi)'] = xi_rescaled_df['xi(Vk/Vj)']*xi_rescaled_df['xi(Vj/Vi)'] # Calculate uncertainty on rescaled xi # If c = a*b, dc = sqrt((b*da)^2 + (a*db)^2) xi_rescaled_df['dxi(Vk/Vi)'] = np.sqrt( (xi_rescaled_df['xi(Vj/Vi)']*xi_rescaled_df['dxi(Vk/Vj)'])**2 + (xi_rescaled_df['xi(Vk/Vj)']*xi_rescaled_df['dxi(Vj/Vi)'])**2) # Eliminate data points where Vi = Vk xi_rescaled_df = xi_rescaled_df[xi_rescaled_df['Vk'] != Vi] xi_rescaled_df = xi_rescaled_df.round(decimals=4) xi_rescaled_df.to_csv(ref_folder+'/rescaledparameters.csv',index=False) # Plot scaling parameters fig, (ax0) = plt.subplots(nrows = 1, ncols=1, figsize=(6,4.5)) ax0.errorbar(xi_rescaled_df['Vk/Vi'],xi_rescaled_df['xi(Vk/Vi)'], yerr=xi_rescaled_df['dxi(Vk/Vi)'], marker = 'o', color = 'gray', mfc='lightgray', ms=6, markeredgewidth=1, ls='none',elinewidth=1) ax0.set_xlabel(r'$V/V_i$',fontsize = 16) ax0.set_ylabel(r'$\xi$',fontsize = 16) ax0.tick_params(direction='in',right='on',top='on') fig.savefig(ref_folder+'/scalingparam.pdf', format='pdf', bbox_inches='tight') plt.close()

34.072165

86

0.681392

530

3,305

4.069811

0.316981

0.15299

0.183588

0.084376

0.246175

0.235512

0.20306

0.166898

0.159481

0.083449

0

0.014681

0.113767

3,305

97

87

34.072165

0.721748

0.144629

0

0.18535

0.019238

0

1

0

false

0

0.306452

0

0.306452

0.016129

0

null

0

1

0

null

0

1

0

2

7614576866838e113eac6ed1704be36e192c3e82

3,096

py

Python

meterological_data.py

ask-santosh/Weather-Data-Analysis

c9b4dcfe0ce729554eb8fdff6cabc0e1e824ab8f

[ "Apache-2.0" ]

null

meterological_data.py

ask-santosh/Weather-Data-Analysis

c9b4dcfe0ce729554eb8fdff6cabc0e1e824ab8f

[ "Apache-2.0" ]

null

meterological_data.py

ask-santosh/Weather-Data-Analysis

c9b4dcfe0ce729554eb8fdff6cabc0e1e824ab8f

[ "Apache-2.0" ]

null

#!/usr/bin/env python # coding: utf-8 # In[3]: import pandas as pd # In[4]: weather_data = pd.read_csv("weatherHistory.csv") # weather_data.columns = weather_data.iloc[0] # weather_data.columns # weather_data # weather_data.head() weather_data.columns.values # In[5]: weather_data = weather_data.iloc[1:] # In[6]: weather_data.head() # In[7]: list(weather_data.columns.values) # In[ ]: # We first convert all the numeric data to from object data type to float/int data type. # In[8]: weather_data['Temperature (C)'] = weather_data['Temperature (C)'].astype('float') weather_data['Apparent Temperature (C)'] = weather_data['Apparent Temperature (C)'].astype('float') weather_data['Humidity'] = weather_data['Humidity'].astype('float') weather_data['Wind Speed (km/h)'] = weather_data['Wind Speed (km/h)'].astype('float') weather_data['Wind Bearing (degrees)'] = weather_data['Wind Bearing (degrees)'].astype('int') weather_data['Visibility (km)'] = weather_data['Visibility (km)'].astype('float') weather_data['Loud Cover'] = weather_data['Loud Cover'].astype('int') weather_data['Pressure (millibars)'] = weather_data['Pressure (millibars)'].astype('float') # In[9]: weather_data['Precip Type'].fillna(weather_data['Precip Type'].value_counts().index[0], inplace=True) # In[ ]: #After removing all the null values. # In[10]: weather_data.isnull().sum() # In[ ]: # Heat map representation of above data # In[11]: import seaborn as sns # In[12]: sns.heatmap(weather_data.isnull(), yticklabels=False, cbar=True) # In[27]: from datetime import timedelta import datetime as dt weather_data # In[28]: #Most frequent weather from the Summary column # weather_data['Formatted Date'] = pd.to_datetime(weather_data['Formatted Date']) weather = weather_data['Summary'].value_counts().reset_index() weather.columns = ['Weather', 'Count'] print(weather) # In[ ]: #We can observe that the most common weather that prevails is Partly cloudy # In[35]: import matplotlib.pyplot as plt sns.set(rc={'figure.figsize':(8,4)}) plt.xticks(rotation=90) sns.lineplot(x=weather['Weather'], y=weather['Count'], data=weather) plt.show() # In[ ]: #In the below graph we can observe that maximum temperature is when the weather is dry. # In[36]: plt.figure(figsize=(12,6)) plt.xticks(rotation=90) plt.title('Weather') sns.barplot(x=weather_data['Summary'], y=weather_data['Temperature (C)']) # In[ ]: # In[ ]: # In[45]: #In the below graph remarks that maximum humidity is for the weather types: Foggy, Breezy and Foggy #and Rainy weather''' # In[44]: plt.figure(figsize=(12,6)) plt.xticks(rotation=90) plt.title('Weather') sns.barplot(x=weather_data['Summary'], y=weather_data['Humidity']) # In[40]: plt.figure(figsize=(8,4)) plt.title("Weather vs Pressue") plt.xticks(rotation=90) sns.lineplot(y=weather_data['Pressure (millibars)'],x=weather_data['Summary']) # In[41]: pip install pywedge # In[43]: import pywedge as pw x = pw.Pywedge_Charts(weather_data, c=None, y='Humidity') charts = x.make_charts() # In[ ]:

15.557789

101

0.699935

454

3,096

4.665198

0.330396

0.21813

0.042493

0.051936

0.294618

0.170916

0.088763

0

0.019725

0.132106

3,096

198

102

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0.768515

0.289406

0

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0

0.226091

0

null

0

0.133333

null

0.022222

0

null

1

0

null

0

1

0

2

76179c4c064e78d6f85438575931fbff3c4f84e8

282

py

Python

tests/neural_networks/art_fuzzy/test_class.py

DavidVinicius/artmap-fuzzy-tcc

1ff039ca2ade7a2a96137c75feaa9509e401e387

[ "MIT" ]

null

tests/neural_networks/art_fuzzy/test_class.py

DavidVinicius/artmap-fuzzy-tcc

1ff039ca2ade7a2a96137c75feaa9509e401e387

[ "MIT" ]

null

tests/neural_networks/art_fuzzy/test_class.py

DavidVinicius/artmap-fuzzy-tcc

1ff039ca2ade7a2a96137c75feaa9509e401e387

[ "MIT" ]

null

from src.neural_networks.art_fuzzy import ARTFUZZY import numpy as np def test_If_I_isintance_numpy(): A = ARTFUZZY([1.0, 2.0]) assert isinstance(A.I, np.ndarray) def test_If_W_isintance_numpy(): A = ARTFUZZY([1.0, 2.0]) assert isinstance(A.I, np.ndarray)

25.636364

50

0.695035

48

282

3.875

0.5

0.075269

0.096774

0.247312

0.580645

0

0.034783

0.184397

282

11

51

25.636364

0.773913

0

0.5

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0.25

1

0.25

false

0

0.25

0

0.5

0

null

0

1

0

null

0

1

0

2

76239cf65a40116502dab08045c558ccfa503910

6,997

py

Python

_unittests/ut_profiling/test_event_profiler.py

sdpython/cpyquickhelper

c2bdebad2201c7e10a5999a836bbf53e27b963c7

[ "MIT" ]

2

2017-10-03T20:39:13.000Z

2019-02-06T15:24:04.000Z

_unittests/ut_profiling/test_event_profiler.py

sdpython/cpyquickhelper

c2bdebad2201c7e10a5999a836bbf53e27b963c7

[ "MIT" ]

21

2017-09-17T11:14:04.000Z

2021-01-01T13:24:20.000Z

_unittests/ut_profiling/test_event_profiler.py

sdpython/cpyquickhelper

c2bdebad2201c7e10a5999a836bbf53e27b963c7

[ "MIT" ]

null

""" @brief test log(time=3s) """ import unittest import inspect import logging from time import sleep, perf_counter from pyquickhelper.pycode import ExtTestCase from cpyquickhelper.profiling import ( EventProfiler, WithEventProfiler) from cpyquickhelper.profiling.event_profiler import EventProfilerDebug class TestEventProfiler(ExtTestCase): def test_profiling_exc(self): ev = EventProfiler(impl='python') self.assertRaise(lambda: ev.stop(), RuntimeError) ev.start() self.assertRaise(lambda: ev.start(), RuntimeError) ev.stop() self.assertRaise(lambda: ev.stop(), RuntimeError) def test_profiling(self): def f1(t): sleep(t) def f2(): f1(0.1) def f3(): li = [0 for i in range(0, 10000)] f1(0.2) return li def f4(): f2() f3() ev = EventProfiler(impl='python') ev.start() f4() ev.stop() res = ev.retrieve_raw_results() self.assertEqual(res.shape[1], ev.n_columns) df = ev.retrieve_results(False) self.assertEqual(df.shape, (res.shape[0], 10)) expected = ['time', 'value1', 'value2', 'event', 'name', 'mod', 'lineno', 'from_name', 'from_mod', 'from_line'] self.assertEqual(list(df.columns), expected) self.assertIn('sleep', set(df['name'])) self.assertIn('time', set(df['mod'])) def test_profiling_20(self): def f1(t): sleep(t) def f2(): f1(0.1) def f3(): f1(0.2) def f4(): f2() f3() ev = EventProfiler(size=30, impl='python') ev.start() f4() ev.stop() res = ev.retrieve_raw_results() self.assertGreater(res.shape[0], 10) self.assertEqual(res.shape[1], ev.n_columns) df = ev.retrieve_results(False) self.assertEqual(df.shape, (res.shape[0], 10)) expected = ['time', 'value1', 'value2', 'event', 'name', 'mod', 'lineno', 'from_name', 'from_mod', 'from_line'] self.assertEqual(list(df.columns), expected) def test_profiling_raise(self): def fraise(): raise RuntimeError("issue") def catch_exc(): try: fraise() return None except RuntimeError as e: return str(e) ev = EventProfiler(impl='python') ev.start() catch_exc() ev.stop() df = ev.retrieve_results(True) self.assertEqual(df.shape[1], 10) self.assertGreater(df.shape[0], 5) self.assertIn("catch_exc", set(df['name'])) def test_with_sleep(self): def fsleep(): sleep(0.1) prof = WithEventProfiler(impl='python') with prof: fsleep() df = prof.report self.assertGreater(df.shape[0], 1) self.assertEqual(df.shape[1], 10) def test_with_raise(self): def fraise(): raise RuntimeError("TESTISSUE") try: prof = WithEventProfiler(impl='python') with prof: fraise() except RuntimeError as e: self.assertEqual(str(e), 'TESTISSUE') def test_debug(self): N = 100000 ev = EventProfilerDebug(impl='python') ev.start() begin = perf_counter() for _ in range(N): ev.log_event(inspect.currentframe(), 'call', None) ev.log_event(inspect.currentframe(), 'return', None) end = perf_counter() ev.stop() duration = end - begin msg = "evpy: %1.6f microsecond" % (duration / N * 1e6) self.assertNotEmpty(msg) if __name__ == "__main__": print(msg) def test_debug_c(self): N = 100000 ev = EventProfilerDebug(impl='pybind11', size=10000000) ev.start() begin = perf_counter() for _ in range(N): ev._buffer.c_log_event( # pylint: disable=W0212 inspect.currentframe(), 'call', None) ev._buffer.c_log_event( # pylint: disable=W0212 inspect.currentframe(), 'return', None) end = perf_counter() ev.stop() duration = end - begin msg = "evc+: %1.6f microsecond" % (duration / N * 1e6) self.assertNotEmpty(msg) if __name__ == "__main__": print(msg) def test_debug_logging(self): N = 100 logger = logging.getLogger('cpyquickhelper-ut') logger.setLevel(logging.INFO) ev = EventProfilerDebug(impl='pybind11', size=10000000) ev.start() begin = perf_counter() for _ in range(N): logger.info("call %d", inspect.currentframe().f_lineno) logger.info("return %d", inspect.currentframe().f_lineno) end = perf_counter() ev.stop() duration = end - begin msg = "logg: %1.6f microsecond" % (duration / N * 1e6) self.assertNotEmpty(msg) if __name__ == "__main__": print(msg) def test_profiling_c(self): def f1(t): sleep(t) def f2(): f1(0.1) def f3(): li = [0 for i in range(0, 10000)] f1(0.2) return li def f4(): f2() f3() ev = EventProfiler(impl='pybind11') ev.start() f4() ev.stop() res = ev.retrieve_raw_results() self.assertEqual(res.shape[1], ev.n_columns) df = ev.retrieve_results(False) self.assertEqual(df.shape, (res.shape[0], 10)) expected = ['time', 'value1', 'value2', 'event', 'name', 'mod', 'lineno', 'from_name', 'from_mod', 'from_line'] self.assertEqual(list(df.columns), expected) self.assertIn('sleep', set(df['name'])) self.assertIn('time', set(df['mod'])) def test_profiling_c_20(self): def f1(t): sleep(t) def f2(): f1(0.1) def f3(): li = [0 for i in range(0, 10000)] f1(0.2) return li def f4(): f2() f3() ev = EventProfiler(impl='pybind11', size=220) ev.start() f4() ev.stop() res = ev.retrieve_raw_results() self.assertEqual(res.shape[1], ev.n_columns) df = ev.retrieve_results(False) self.assertEqual(df.shape, (res.shape[0], 10)) expected = ['time', 'value1', 'value2', 'event', 'name', 'mod', 'lineno', 'from_name', 'from_mod', 'from_line'] self.assertEqual(list(df.columns), expected) self.assertIn('sleep', set(df['name'])) self.assertIn('time', set(df['mod'])) if __name__ == "__main__": unittest.main()

28.100402

70

0.523653

781

6,997

4.555698

0.162612

0.063238

0.026981

0.037099

0.74733

0.703204

0.596965

0.586003

0

0.039203

0.340146

6,997

248

71

28.21371

0.731427

0.010576

0

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0

null

0

1

0

1

0

null

0

2

52095086bb446dc1b08b9d315803c1b73ef88590

541

py

Python

project/api/views/bank_list.py

Rafiatu/cinch

05f3927363a9f75598611e3f152b90464a588de2

[ "MIT" ]

null

project/api/views/bank_list.py

Rafiatu/cinch

05f3927363a9f75598611e3f152b90464a588de2

[ "MIT" ]

null

project/api/views/bank_list.py

Rafiatu/cinch

05f3927363a9f75598611e3f152b90464a588de2

[ "MIT" ]

null

from rest_framework import status from rest_framework.viewsets import ViewSet from rest_framework.decorators import action from rest_framework.permissions import AllowAny, IsAuthenticated from api.lib.response import Response from payment.get_bank_list import BankList class BankListViewSet(ViewSet): @action(methods=['get'], detail=False, permission_classes=[IsAuthenticated], url_path='*') def get_bank_list(self, request): banks = BankList.call() return Response({'banks':banks.value}, status=status.HTTP_200_OK)

41.615385

94

0.791128

69

541

6.028986

0.565217

0.076923

0.163462

0

0.006303

0.120148

541

13

95

41.615385

0.867647

0

0.016605

0

1

0.090909

false

0

0.545455

0

0.818182

0

null

0

null

0

1

0

1

0

2

5209b7eaee6151a55b670766ca8043416e38ee6c

290

py

Python

Pipeline/4_R0_ARRP/Executable/r0_arrp_make.py

johnlspouge/R0_Unstratified_Case_Data

696b4f45265904de04213bb4bd21390684ad00a6

[ "Unlicense" ]

null

Pipeline/4_R0_ARRP/Executable/r0_arrp_make.py

johnlspouge/R0_Unstratified_Case_Data

696b4f45265904de04213bb4bd21390684ad00a6

[ "Unlicense" ]

null

Pipeline/4_R0_ARRP/Executable/r0_arrp_make.py

johnlspouge/R0_Unstratified_Case_Data

696b4f45265904de04213bb4bd21390684ad00a6

[ "Unlicense" ]

null

#!/usr/bin/env python from os import system log = f'r0_arrp.log' C = ' -c ../../1_Prem_Matrices_to_df/Data/UNSDMethodology.csv' E = ' -e ../../3_Prem_Matrices_to_PF_Eigenvalue/Output/pf_eigenvalue.csv' S = ' -s ../../2_ARRP/Output/slope.csv' system( f'r0_arrp.py {C} {E} {S} > {log}' )

24.166667

73

0.662069

51

290

3.509804

0.588235

0.03352

0.078212

0

0.019685

0.124138

290

11

74

26.363636

0.685039

0.068966

0

0.732342

0.535316

0

1

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false

0

0.166667

0

0.166667

0

null

0

1

null

0

2

520c123c3cc2054e4fcd79af635f3285abb8eea2

3,818

py

Python

Scripts/simulation/business/advertising_manager.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/business/advertising_manager.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/business/advertising_manager.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

# uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Server\business\advertising_manager.py # Compiled at: 2017-04-27 01:01:18 # Size of source mod 2**32: 6129 bytes from protocolbuffers import Business_pb2, DistributorOps_pb2 from business.business_enums import BusinessAdvertisingType from distributor.ops import GenericProtocolBufferOp from distributor.system import Distributor import services, sims4 logger = sims4.log.Logger('Business', default_owner='jdimailig') class HasAdvertisingManagerMixin: def __init__(self, *args, **kwargs): (super().__init__)(*args, **kwargs) self._advertising_manager = AdvertisingManager.create_from_business_manager(self) def get_advertising_multiplier(self): return self._advertising_manager.get_advertising_multiplier() def set_advertising_type(self, advertising_type): self._advertising_manager.set_advertising_type(advertising_type) def get_advertising_type_for_gsi(self): return str(self._advertising_manager._advertising_type) def get_current_advertising_cost(self): return self._advertising_manager.get_current_advertising_cost() class AdvertisingManager: @classmethod def create_from_business_manager(cls, business_manager): return AdvertisingManager(business_manager, business_manager.tuning_data.advertising_configuration) def __init__(self, business_manager, advertising_configuration): self._business_manager = business_manager self._configuration = advertising_configuration self._advertising_type = advertising_configuration.default_advertising_type self._advertising_update_time = None self._advertising_cost = 0 def clear_state(self): self._advertising_cost = 0 self._advertising_update_time = None def open_business(self): self.set_advertising_type(self._advertising_type) def get_current_advertising_cost(self): return self._advertising_cost + self._get_advertising_cost_since_last_update() def get_advertising_cost_per_hour(self): return self._configuration.get_advertising_cost_per_hour(self._advertising_type) def set_advertising_type(self, advertising_type): self._advertising_cost += self._get_advertising_cost_since_last_update() self._advertising_update_time = services.time_service().sim_now if advertising_type == BusinessAdvertisingType.INVALID: logger.error('Attempting to set an INVALID advertising type to {}. This will be ignored.', advertising_type) else: self._advertising_type = advertising_type self._send_advertisement_update_message() def get_advertising_multiplier(self): return self._configuration.get_customer_count_multiplier(self._advertising_type) def _get_advertising_cost_since_last_update(self): now = services.time_service().sim_now running_cost = 0 if self._advertising_update_time is None: self._advertising_update_time = now running_cost = 0 else: hours_in_ad_type = (now - self._advertising_update_time).in_hours() running_cost = hours_in_ad_type * self.get_advertising_cost_per_hour() return running_cost def _send_advertisement_update_message(self): msg = Business_pb2.BusinessAdvertisementUpdate() msg.zone_id = self._business_manager.business_zone_id msg.advertisement_chosen = self._advertising_type op = GenericProtocolBufferOp(DistributorOps_pb2.Operation.BUSINESS_ADVERTISEMENT_DATA_UPDATE, msg) Distributor.instance().add_op_with_no_owner(op)

43.885057

120

0.76087

458

3,818

5.914847

0.303493

0.127353

0.056109

0.066445

0.290882

0.207457

0.166482

0.121078

0.08601

0

0.023615

0.168151

3,818

87

121

43.885057

0.829345

0.08198

0

0.222222

0

0.026007

0

1

0.238095

false

0

0.079365

0.111111

0.47619

0

null

0

null

0

1

0

1

0

2

520d7cb39f32defc0f55c008264ebcf3b5b045f7

8,603

py

Python

app.py

ansokolov/28days

98c3bd093dd716aa38a67ad03b7457c5b83220bc

[ "MIT" ]

null

app.py

ansokolov/28days

98c3bd093dd716aa38a67ad03b7457c5b83220bc

[ "MIT" ]

null

app.py

ansokolov/28days

98c3bd093dd716aa38a67ad03b7457c5b83220bc

[ "MIT" ]

null

import os import datetime import csv import json i = 0 def initial_menu(): user_action = input("1. Log In \n" + "2. Create new user \n" + "3. Create with CSV \n" + "4. Update with CSV \n") if user_action == "1": user_name = input("What is your name? \n") file_name = user_name + ".json" if os.path.isfile(file_name): secondary_menu(file_name) else: user_choice = input("There is no such a user. Would you like to create new user? \n") if user_choice == "Yes": initial_menu() else: exit() if user_action == "2": user_name = input("What is your name? \n") file_name = user_name + ".json" user_profile = open(file_name,"w") current_date = datetime.datetime.now() filled_profile = { "name": "", "created_on": "", "words": []} filled_profile["name"] = user_name filled_profile["created_on"] = current_date.strftime("%Y-%m-%d") json.dump(filled_profile, user_profile) user_profile.close() print("The profile was create successfully. You can log in now.") if user_action == "3": user_name = input("What is your name? \n") file_name = user_name + ".json" csv_file = open(user_name + ".csv","r") csv_data = csv.reader(csv_file, delimiter=";") user_profile = open(file_name,"w") filled_profile = { "name": "", "created_on": "", "words": []} filled_profile["name"] = user_name current_date = datetime.datetime.now() filled_profile["created_on"] = current_date.strftime("%Y-%m-%d") words = filled_profile["words"] word_profile = {"word": "", "sentence": "", "translation": "", "learnt_on": "", "last_repeat": "", "repetitions": ""} for row in csv_data: word_profile["word"] = row[0] word_profile["sentence"] = row[1] word_profile["translation"] = row[2] word_profile["learnt_on"] = row[3] word_profile["last_repeat"] = row[4] word_profile["repetitions"] = row[5] words.append(word_profile) json.dump(filled_profile, user_profile) user_profile.close() print("The profile was create successfully. You can log in now.") if user_action == "4": user_name = input("What is your name? \n") file_name = user_name + ".json" if os.path.isfile(file_name): user_file = open(file_name,"r") user_profile = user_file.read() user_data = json.loads(user_profile) user_file.close() csv_file = open(user_name + ".csv","r") csv_data = csv.reader(csv_file, delimiter=";") user_file = open(file_name,"w") words = user_data["words"] word_profile = {"word": "", "sentence": "", "translation": "", "learnt_on": "", "last_repeat": "", "repetitions": ""} for row in csv_data: word_profile["word"] = row[0] word_profile["sentence"] = row[1] word_profile["translation"] = row[2] word_profile["learnt_on"] = row[3] word_profile["last_repeat"] = row[4] word_profile["repetitions"] = row[5] words.append(word_profile) json.dump(user_data, user_file) user_file.close() print("The profile was updated successfully.") else: user_choice = input("There is no such a user. Would you like to create new user? \n") if user_choice == "Yes": initial_menu() else: exit() def secondary_menu(file_name): user_choice = input("1. Repeat Words \n" + "2. Add new words \n") if user_choice == "1": repeat_words(file_name) elif user_choice == "2": new_word(file_name) else: print("There is no such option.") secondary_menu(file_name) def words_menu(user_profile): user_choice = input("1. Add new word \n" + "2. Back \n") if user_choice == "1": new_word(user_profile) elif user_choice == "2": secondary_menu(user_profile) else: print("There is no such option.") words_menu(user_profile) def new_word(file_name): user_profile = open(file_name,"r") data = user_profile.read() user_profile.close() serialized_data = json.loads(data) word_profile = {"word": "", "sentence": "", "translation": "", "learnt_on": "", "last_repeat": "", "repetitions": ""} word = input("What is the word you learnt? \n") sentence = input("In which sentence did you see that word? \n") translation = input("What does the word mean? \n") words = serialized_data["words"] word_profile["word"] = word word_profile["sentence"] = sentence word_profile["translation"] = translation current_date = datetime.datetime.now() word_profile["learnt_on"] = current_date.strftime("%Y-%m-%d") word_profile["repetitions"] = 0 words.append(word_profile) user_profile = open(file_name,"w+") json.dump(serialized_data, user_profile) user_profile.close() print("The word has been successfully saved.") user_choice = input("1. Add new word \n" + "2. Back \n") if user_choice == "1": new_word(file_name) elif user_choice == "2": secondary_menu(user_profile) else: print("There is no such option.") secondary_menu(user_profile) def repeat_words(file_name): user_profile = open(file_name,"r") data = user_profile.read() user_profile.close() serialized_data = json.loads(data) words = serialized_data["words"] i = 0 while i < len(words): word = words[i] count = 0 if int(word["repetitions"]) == 0: last_repeat = word["learnt_on"] calculated_date = calculate_date_difference(1) if calculated_date == last_repeat: word, i, count = show_sentence(word, i, count) else: i += 1 elif int(word["repetitions"]) < 7 and word["repetitions"] > 0: last_repeat = word["last_repeat"] calculated_date = calculate_date_difference(1) if calculated_date == last_repeat: word, i, count = show_sentence(word, i, count) else: i += 1 elif int(word["repetitions"]) == 7: last_repeat = word["last_repeat"] calculated_date = calculate_date_difference(7) if calculated_date == last_repeat: word, i, count = show_sentence(word, i, count) else: i += 1 elif int(word["repetitions"]) == 8: last_repeat = word["last_repeat"] calculated_date = calculate_date_difference(14) if calculated_date == last_repeat: word, i, count = show_sentence(word, i, count) else: i += 1 else: i += 1 if count == 0: print("There is no words for today. Come tomorrow.") else: print("That's all the words for today.") user_profile = open(file_name,"w+") json.dump(serialized_data, user_profile) user_profile.close() def calculate_date_difference(difference): current_date = datetime.datetime.now() calculated_date = current_date - datetime.timedelta(days=difference) calculated_date = calculated_date.strftime("%Y-%m-%d") return calculated_date def show_sentence(word, i, count): print(word["sentence"]) word["repetitions"] = int(word["repetitions"]) + 1 current_date = datetime.datetime.now() word["last_repeat"] = current_date.strftime("%Y-%m-%d") count += 1 i += 1 return word, i, count print("Welcome to 28 days words learning app. \n") initial_menu()

34.550201

97

0.535511

987

8,603

4.448835

0.123607

0.065133

0.022774

0.025962

0.724664

0.686404

0.638351

0.617399

0.605101

0

0.010076

0.342439

8,603

249

98

34.550201

0.76613

0

0.708333

0

0.172594

0

1

0.032407

false

0

0.018519

0

0.060185

0.050926

0

null

0

1

0

1

0

null

0

2

522b2b0fa12d2a1dd5f454984652774d2801eebd

1,886

py

Python

Middleware.py

huobingli/fpyd

b64f3369a3603b61310e57f5fc3d7c5de994dec1

[ "MIT" ]

null

Middleware.py

huobingli/fpyd

b64f3369a3603b61310e57f5fc3d7c5de994dec1

[ "MIT" ]

null

Middleware.py

huobingli/fpyd

b64f3369a3603b61310e57f5fc3d7c5de994dec1

[ "MIT" ]

null

from mysql_comm.mysql_comm import * from redis_comm.redis_comm import * def insert_datas(datas): with UsingMysql(log_time=True) as um: pass def insert_data(database, data): with UsingMysql(log_time=True) as um: sql = "insert into " + database + "(fp_id, fp_title, fp_res_org, fp_report_time, fp_stock_name, fp_stock_code, fp_source_id, fp_is_stock) \ values(%s, %s, %s, %s, %s, %s, %s, %s)" params = ('%s' % data[0], '%s' % data[1], "%s" % data[2], "%s" % data[3], "%s" % data[4], "%s" % data[5], "%s" % data[6], "%d" % data[7]) # print(sql) um.cursor.execute(sql, params) def test_insert_data(): pass def fecth_data(database, condition=""): with UsingMysql(log_time=True) as um: sql = 'select * from %s %s' % (database, condition) print(sql) um.cursor.execute(sql) data_list = um.cursor.fetchall() print('-- 总数: %d' % len(data_list)) return data_list def test_feach_data(): pass def update_data(database, setdata, condition=""): with UsingMysql(log_time=True) as um: sql = "update %s %s %s" % (database, setdata, condition) um.cursor.execute(sql) def test_update_data(): pass def delete_data(database, condition=""): with UsingMysql(log_time=True) as um: sql = 'delete from %s %s' % (database, condition) um.cursor.execute(sql) def redis_set(key, value): with UsingRedis(log_time=True) as ur: ur.set_key_value(key, value) def redis_get(key): with UsingRedis(log_time=True) as ur: return ur.get_key_value(key) def redis_zset_set(set, key, value): with UsingRedis(log_time=True) as ur: ur.zset_set_key_value(set, key, value) def redis_zset_get(key): with UsingRedis(log_time=True) as ur: return ur.zset_get_key_value(key) if __name__ == '__main__': pass

30.918033

148

0.629905

285

1,886

3.940351

0.238596

0.01959

0.088157

0.104185

0.476402

0.443455

0.343722

0.310775

0.28228

0.24577

0

0.005476

0.225345

1,886

61

149

30.918033

0.763176

0.005302

0

0.361702

0

0.021277

0.0512

0

1

0.255319

false

0.106383

0.042553

0

0.361702

0.042553

0

null

0

null

0

1

0

1

0

2

5233405403bf14c4dfbcafd95285eeecc8a3a127

4,730

py

Python

2021/python/tests/test_day25.py

shalgrim/advent-of-code

d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8

[ "MIT" ]

null

2021/python/tests/test_day25.py

shalgrim/advent-of-code

d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8

[ "MIT" ]

null

2021/python/tests/test_day25.py

shalgrim/advent-of-code

d3bd1c9f7eeaebff4153f6fd73ef8fc32d2b1ea8

[ "MIT" ]

null

import pytest from day25_1 import map_step, map_step_n from day25_1 import main as main1 @pytest.fixture def test_input(): with open('../../data/test25.txt') as f: return [line.strip() for line in f.readlines()] example_1_0 = [ list('...>...'), list('.......'), list('......>'), list('v.....>'), list('......>'), list('.......'), list('..vvv..'), ] example_1_1 = [ list('..vv>..'), list('.......'), list('>......'), list('v.....>'), list('>......'), list('.......'), list('....v..'), ] example_1_2 = [ list('....v>.'), list('..vv...'), list('.>.....'), list('......>'), list('v>.....'), list('.......'), list('.......'), ] example_1_3 = [ list('......>'), list('..v.v..'), list('..>v...'), list('>......'), list('..>....'), list('v......'), list('.......'), ] example_1_4 = [ list('>......'), list('..v....'), list('..>.v..'), list('.>.v...'), list('...>...'), list('.......'), list('v......'), ] def map_from_text(raw_text): lines = raw_text.split() return [list(line.strip()) for line in lines] example_2_0 = map_from_text( """v...>>.vv> .vv>>.vv.. >>.>v>...v >>v>>.>.v. v>v.vv.v.. >.>>..v... .vv..>.>v. v.v..>>v.v ....v..v.>""" ) example_2_1 = map_from_text( """....>.>v.> v.v>.>v.v. >v>>..>v.. >>v>v>.>.v .>v.v...v. v>>.>vvv.. ..v...>>.. vv...>>vv. >.v.v..v.v""" ) example_2_2 = map_from_text( """>.v.v>>..v v.v.>>vv.. >v>.>.>.v. >>v>v.>v>. .>..v....v .>v>>.v.v. v....v>v>. .vv..>>v.. v>.....vv.""" ) example_2_3 = map_from_text( """v>v.v>.>v. v...>>.v.v >vv>.>v>.. >>v>v.>.v> ..>....v.. .>.>v>v..v ..v..v>vv> v.v..>>v.. .v>....v..""" ) example_2_4 = map_from_text( """v>..v.>>.. v.v.>.>.v. >vv.>>.v>v >>.>..v>.> ..v>v...v. ..>>.>vv.. >.v.vv>v.v .....>>vv. vvv>...v..""" ) example_2_5 = map_from_text( """vv>...>v>. v.v.v>.>v. >.v.>.>.>v >v>.>..v>> ..v>v.v... ..>.>>vvv. .>...v>v.. ..v.v>>v.v v.v.>...v.""" ) example_2_10 = map_from_text( """..>..>>vv. v.....>>.v ..v.v>>>v> v>.>v.>>>. ..v>v.vv.v .v.>>>.v.. v.v..>v>.. ..v...>v.> .vv..v>vv.""" ) example_2_20 = map_from_text( """v>.....>>. >vv>.....v .>v>v.vv>> v>>>v.>v.> ....vv>v.. .v.>>>vvv. ..v..>>vv. v.v...>>.v ..v.....v>""" ) example_2_30 = map_from_text( """.vv.v..>>> v>...v...> >.v>.>vv.> >v>.>.>v.> .>..v.vv.. ..v>..>>v. ....v>..>v v.v...>vv> v.v...>vvv""" ) example_2_40 = map_from_text( """>>v>v..v.. ..>>v..vv. ..>>>v.>.v ..>>>>vvv> v.....>... v.v...>v>> >vv.....v> .>v...v.>v vvv.v..v.>""" ) example_2_50 = map_from_text( """..>>v>vv.v ..v.>>vv.. v.>>v>>v.. ..>>>>>vv. vvv....>vv ..v....>>> v>.......> .vv>....v> .>v.vv.v..""" ) example_2_55 = map_from_text( """..>>v>vv.. ..v.>>vv.. ..>>v>>vv. ..>>>>>vv. v......>vv v>v....>>v vvv...>..> >vv.....>. .>v.vv.v..""" ) example_2_56 = map_from_text( """..>>v>vv.. ..v.>>vv.. ..>>v>>vv. ..>>>>>vv. v......>vv v>v....>>v vvv....>.> >vv......> .>v.vv.v..""" ) example_2_57 = map_from_text( """..>>v>vv.. ..v.>>vv.. ..>>v>>vv. ..>>>>>vv. v......>vv v>v....>>v vvv.....>> >vv......> .>v.vv.v..""" ) example_2_58 = map_from_text( """..>>v>vv.. ..v.>>vv.. ..>>v>>vv. ..>>>>>vv. v......>vv v>v....>>v vvv.....>> >vv......> .>v.vv.v.. """ ) def test_map_step(): assert map_step([list('...>>>>>...')]) == [list('...>>>>.>..')] assert map_step([list('...>>>>.>..')]) == [list('...>>>.>.>.')] assert map_step( [list('..........'), list('.>v....v..'), list('.......>..'), list('..........')] ) == [ list('..........'), list('.>........'), list('..v....v>.'), list('..........'), ] assert map_step(example_1_0) == example_1_1 assert map_step(example_1_1) == example_1_2 assert map_step(example_1_2) == example_1_3 assert map_step(example_1_3) == example_1_4 assert map_step(example_2_0) == example_2_1 assert map_step(example_2_1) == example_2_2 assert map_step(example_2_2) == example_2_3 assert map_step(example_2_3) == example_2_4 assert map_step(example_2_4) == example_2_5 assert map_step(map_step(map_step(map_step(map_step(example_2_5))))) == example_2_10 assert map_step(example_2_55) == example_2_56 assert map_step(example_2_56) == example_2_57 assert map_step(example_2_57) == example_2_58 def test_map_step_n(): assert map_step_n(example_2_10, 10) == example_2_20 assert map_step_n(example_2_20, 10) == example_2_30 assert map_step_n(example_2_30, 10) == example_2_40 assert map_step_n(example_2_40, 10) == example_2_50 assert map_step_n(example_2_50, 5) == example_2_55 def test_main1(test_input): assert main1(test_input) == 58

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0.176101

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null

0

1

0

1

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null

0

2

524200af22407131ff0b4d610415254327069f0f

1,078

py

Python

test/com/facebook/buck/core/module/impl/test_app.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

8,027

2015-01-02T05:31:44.000Z

2022-03-31T07:08:09.000Z

test/com/facebook/buck/core/module/impl/test_app.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

2,355

2015-01-01T15:30:53.000Z

2022-03-30T20:21:16.000Z

test/com/facebook/buck/core/module/impl/test_app.py

Unknoob/buck

2dfc734354b326f2f66896dde7746a11965d5a13

[ "Apache-2.0" ]

1,280

2015-01-09T03:29:04.000Z

2022-03-30T15:14:14.000Z

# Copyright (c) Facebook, Inc. and its affiliates. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import subprocess import unittest class TestApp(unittest.TestCase): """ This is a Python test that allows to do testing of arbitrary applications The main purpose of using this approach is to provide an ability to run tests on Windows (which doesn't support sh_test). The command is passed to this test using `CMD` environment variable. """ def test_app(self): self.assertEquals(0, subprocess.call(os.environ["CMD"].split(" ")))

33.6875

92

0.737477

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1,078

4.865031

0.650307

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0.032787

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0.005721

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1,078

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34.774194

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null

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null

0

1

0

1

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2

524335c52fc4efb7aa6390e9a66eced8d1cd6c0e

1,488

py

Python

models/FastNeuralStyleTransferModel.py

taivu1998/GANime

a1d1569a1797f3fc50159475de2e3d47697abfed

[ "MIT" ]

24

2020-03-20T05:43:16.000Z

2022-03-23T22:09:35.000Z

models/FastNeuralStyleTransferModel.py

bobyang9/GANime

c4e98274cc8ecddda0d6273c5d2670a8d356648f

[ "MIT" ]

null

models/FastNeuralStyleTransferModel.py

bobyang9/GANime

c4e98274cc8ecddda0d6273c5d2670a8d356648f

[ "MIT" ]

2

2020-05-24T23:07:08.000Z

2021-04-02T11:33:35.000Z

''' This program implements a Fast Neural Style Transfer model. References: https://www.tensorflow.org/tutorials/generative/style_transfer ''' from __future__ import absolute_import, division, print_function, unicode_literals import tensorflow as tf import tensorflow_hub as hub import os, sys import time import numpy as np from BaseModel import BaseModel from utils.data_pipeline import * class FastNeuralStyleTransfer(BaseModel): ''' A Fast Neural Style Transfer model. ''' def __init__(self): ''' Initializes the class. ''' super().__init__() def build_model(self): ''' Builds network architectures. ''' hub_module_path = 'https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/1' self.hub_module = hub.load(hub_module_path) def fit(self, content_image, style_image, output_path = 'stylized_image_fast.png'): ''' Trains the model. ''' start = time.time() self.stylized_image = self.hub_module(tf.constant(content_image), tf.constant(style_image))[0] self.save_output(output_path) end = time.time() print("Total time: {:.1f}".format(end - start)) def predict(self): ''' Generates an output image from an input. ''' return self.stylized_image def save_output(self, img_path): ''' Saves the output image. ''' output = tensor_to_image(self.stylized_image) output.save(img_path)

29.76

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0.672043

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1,488

5.178378

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0.037578

0.053236

0.033403

0.060543

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0.006029

0.219758

1,488

49

103

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null

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null

0

1

0

1

0

2

525064b1ed219ef71b739ece262ba4a5a5c4ba31

609

py

Python

ejercicios_basicos/poo/poo10/test_figura_geo.py

JuanDuran85/ejemplos_python

47aa49c65384ab89654f362f3da6cd2b0ef386e5

[ "Apache-2.0" ]

null

ejercicios_basicos/poo/poo10/test_figura_geo.py

JuanDuran85/ejemplos_python

47aa49c65384ab89654f362f3da6cd2b0ef386e5

[ "Apache-2.0" ]

null

ejercicios_basicos/poo/poo10/test_figura_geo.py

JuanDuran85/ejemplos_python

47aa49c65384ab89654f362f3da6cd2b0ef386e5

[ "Apache-2.0" ]

null

from Cuadrado import Cuadrado from Rectangulo import Rectangulo print("Creacion objeto Cuadrado".center(50, "-")) cuadrado1 = Cuadrado(lado=10, color='azul') print(cuadrado1) print(cuadrado1.color) print(cuadrado1.ancho) print(cuadrado1.alto) print(cuadrado1.area()) # trabajando con el metodo MRO - Method Resolution Order print(Cuadrado.__mro__) print(Cuadrado.mro()) print("Creacion Objeto Rectangulo".center(50, "-")) reactangulo1 = Rectangulo(base=10, altura=20,color='verde') print(reactangulo1) print(reactangulo1.color) print(reactangulo1.ancho) print(reactangulo1.alto) print(reactangulo1.area())

26.478261

59

0.784893

76

609

6.236842

0.394737

0.147679

0.080169

0.088608

0

0.039286

0.08046

609

23

60

26.478261

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0.110108

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false

0

0.111111

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0.111111

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0

null

0

null

0

1

0

1

0

2

5253378a89fcd0af689b45bb751a44315a891df5

1,252

py

Python

loopchain/blockchain/blocks/v0_5/block_builder.py

windies21/loopchain

6e96c8a7e006747af04187155678f2fae59e1389

[ "Apache-2.0" ]

105

2018-04-03T05:29:08.000Z

2022-01-28T17:33:20.000Z

loopchain/blockchain/blocks/v0_5/block_builder.py

laurenceyoon/loopchain

e87032779be4715c135c2c91d2757d9c63bf4e31

[ "Apache-2.0" ]

135

2018-09-04T07:11:02.000Z

2021-12-15T06:25:47.000Z

loopchain/blockchain/blocks/v0_5/block_builder.py

laurenceyoon/loopchain

e87032779be4715c135c2c91d2757d9c63bf4e31

[ "Apache-2.0" ]

46

2018-05-07T09:12:07.000Z

2022-02-23T09:58:37.000Z

# Copyright 2018-current ICON Foundation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """block builder for version 0.5 block""" from loopchain.blockchain.blocks import BlockProverType from loopchain.blockchain.blocks.v0_4 import BlockBuilder from loopchain.blockchain.blocks.v0_5 import BlockHeader, BlockBody, BlockProver from loopchain.blockchain.types import Hash32 class BlockBuilder(BlockBuilder): version = BlockHeader.version BlockHeaderClass = BlockHeader BlockBodyClass = BlockBody def _build_transactions_hash(self): if not self.transactions: return Hash32.empty() block_prover = BlockProver(self.transactions.keys(), BlockProverType.Transaction) return block_prover.get_proof_root()

37.939394

89

0.769968

164

1,252

5.823171

0.597561

0.062827

0.096335

0.091099

0.064921

0

0.017176

0.162939

1,252

32

90

39.125

0.894084

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0

1

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false

0

0.307692

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0.846154

0

null

0

null

0

1

0

1

0

2

525e027715d3144b67819590485c36cad49673b9

1,757

py

Python

coord2vec/pipelines/lagoon_utils/auto_stage.py

jonzarecki/coord2vec

4f267fdd87af7b3d3558ca834b88e9ab7c309c18

[ "Apache-2.0" ]

null

coord2vec/pipelines/lagoon_utils/auto_stage.py

jonzarecki/coord2vec

4f267fdd87af7b3d3558ca834b88e9ab7c309c18

[ "Apache-2.0" ]

null

coord2vec/pipelines/lagoon_utils/auto_stage.py

jonzarecki/coord2vec

4f267fdd87af7b3d3558ca834b88e9ab7c309c18

[ "Apache-2.0" ]

1

2021-01-25T09:21:17.000Z

from typing import Union, List from lagoon import Stage, Task from coord2vec.pipelines.lagoon_utils.lambda_task import LambdaTask class AutoStage(Stage): def __init__(self, name: str, **kwargs): super().__init__(name, **kwargs) self.output_param_to_task = dict() def update_output_params(self, task): # TODO: kind-of ugly, uses internal _dict_graph if isinstance(task, LambdaTask) and task not in self._dict_graph: for output_param in (task.pass_input_names + task.func_output_names): self.output_param_to_task[output_param] = task def add_auto(self, task: LambdaTask): relevant_connections = set() for input_param in task.func_input_names: if input_param in self.output_param_to_task: relevant_connections.add(self.output_param_to_task[input_param]) else: pass # can come from pipelines variable # raise AssertionError(f"input {input_param} not presented before") if len(relevant_connections) == 0: self.add(task) else: self.add_dependency(list(relevant_connections), task) def add_dependency( self, current_task: Union[Task, List[Task]], next_task: Union[Task, List[Task]] ) -> "Stage": if not isinstance(current_task, list): current_task = [current_task] if not isinstance(next_task, list): next_task = [next_task] for task in (next_task + current_task): self.update_output_params(task) # will try for all NEW tasks return super(AutoStage, self).add_dependency(current_task, next_task) def add_to_DAG(task: LambdaTask, s: AutoStage): s.add_auto(task)

37.382979

87

0.660216

228

1,757

4.802632

0.315789

0.060274

0.054795

0.0621

0.115068

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0.253273

1,757

47

88

37.382979

0.833079

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false

0.058824

0.088235

0

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0

null

0

null

0

1

0

1

0

2

527eb99dfa2b028f29819a3104c6f9c9adfe7aae

2,886

py

Python

pyxlsb2/cell.py

cccs-jh/pyxlsb2

6c5a2990a62e0d80a366d87eb65cbc20573c7b08

[ "Apache-2.0", "MIT" ]

16

2020-04-24T20:07:12.000Z

2022-02-03T18:58:11.000Z

pyxlsb2/cell.py

cccs-jh/pyxlsb2

6c5a2990a62e0d80a366d87eb65cbc20573c7b08

[ "Apache-2.0", "MIT" ]

12

2020-06-08T14:10:13.000Z

2022-03-31T14:58:06.000Z

pyxlsb2/cell.py

cccs-jh/pyxlsb2

6c5a2990a62e0d80a366d87eb65cbc20573c7b08

[ "Apache-2.0", "MIT" ]

13

2020-06-06T07:58:06.000Z

2021-12-24T11:39:43.000Z

import sys if sys.version_info > (3,): basestring = (str, bytes) long = int class DeprecatedCellMixin(object): """Deprecated Cell properties to preserve source compatibility with the 1.0.x releases.""" __slots__ = () @property def r(self): """The row number of this cell. .. deprecated:: 1.1.0 Use the ``row_num`` property instead. """ return self.row.num @property def c(self): """The column number of this cell. .. deprecated:: 1.1.0 Use the ``col`` property instead. """ return self.col @property def v(self): """The value of this cell. .. deprecated:: 1.1.0 Use the ``value`` or the typed ``*_value`` properties instead. """ return self.value @property def f(self): """The formula of this cell. .. deprecated:: 1.1.0 Use the ``formula`` property instead. """ return self.formula class Cell(DeprecatedCellMixin): """A cell in a worksheet. Attributes: row (Row): The containing row. col (int): The column index for this cell. value (mixed): The cell value. formula (bytes): The formula PTG bytes. style_id (int): The style index in the style table. """ __slots__ = ('row', 'col', 'value', 'formula', 'style_id') def __init__(self, row, col, value=None, formula=None, style_id=None): self.row = row self.col = col self.value = value self.formula = formula self.style_id = style_id def __repr__(self): return 'Cell(row={}, col={}, value={}, formula={}, style_id={})' \ .format(self.row, self.col, self.value, self.formula, self.style_id) @property def row_num(self): """The row number of this cell.""" return self.row.num @property def string_value(self): """The string value of this cell or None if not a string.""" if isinstance(self.value, basestring): return self.value @property def numeric_value(self): """The numeric value of this cell or None if not a number.""" if isinstance(self.value, (int, long, float)): return self.value @property def bool_value(self): """The boolean value of this cell or None if not a boolean.""" if isinstance(self.value, bool): return self.value @property def date_value(self): """The date value of this cell or None if not a numeric cell.""" return self.row.sheet.workbook.convert_date(self.value) @property def is_date_formatted(self): """If this cell is formatted using a date-like format code.""" fmt = self.row.sheet.workbook.styles._get_format(self.style_id) return fmt.is_date_format

27.226415

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2,886

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null

0

null

0

1

0

1

0

2

529658a483417869521cdbb5cf8a291986f401d8

85

py

Python

personal_assistant/constants.py

avryhof/personal-assistant

115b384a405ee6b2c5099619beff433b113e24ff

[ "MIT" ]

null

personal_assistant/constants.py

avryhof/personal-assistant

115b384a405ee6b2c5099619beff433b113e24ff

[ "MIT" ]

2

2021-04-06T17:59:11.000Z

2021-06-01T23:40:39.000Z

personal_assistant/constants.py

avryhof/personal-assistant

115b384a405ee6b2c5099619beff433b113e24ff

[ "MIT" ]

null

RECOGNIZER_SNOWBOY = 'snowboy' RECOGNIZER_SPHINX = 'sphinx' RECOGNIZER_WIT = 'wit.ai'

28.333333

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0.788235

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null

0

1

0

null

0

2

bfe2baa9a9cbbb83b453c87c86d2b93ecfcf0cc5

484

py

Python

apps/teacheres/adminx.py

ECNU-Studio/emoc

b11d1ebe91e2d9a4bc5b74ca7be3a13137f1c53c

[ "MIT" ]

1

2018-03-10T08:50:18.000Z

apps/teacheres/adminx.py

ECNU-Studio/emoc

b11d1ebe91e2d9a4bc5b74ca7be3a13137f1c53c

[ "MIT" ]

13

2018-04-28T02:33:21.000Z

2018-05-04T09:05:38.000Z

apps/teacheres/adminx.py

ECNU-Studio/emoc

b11d1ebe91e2d9a4bc5b74ca7be3a13137f1c53c

[ "MIT" ]

null

# _*_ coding:utf-8 _*_ import xadmin from .models import Teacheres from courses.models import Courses class AddCourses(object): model = Courses extra = 0 #培训师 class TeacheresAdmin(object): list_display = ['name', 'username', 'email', 'phone', 'weixin', 'password'] search_fields = ['name'] list_filter = ['name'] # 列表页直接编辑 list_editable = ['name'] model_icon = 'fa fa-user' inlines = [AddCourses] xadmin.site.register(Teacheres, TeacheresAdmin)

23.047619

79

0.677686

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484

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0.654545

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0.005102

0.190083

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0

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0.071429

0.214286

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0.928571

0

null

0

null

0

1

0

1

0

2

bff41132c693f640921216d313ea2aaf31ff07fc

1,076

py

Python

revolt/plugins/commands/context.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

revolt/plugins/commands/context.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

revolt/plugins/commands/context.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

from revolt.types.file import File from revolt.embed import Embed from revolt.message import Message from typing import Optional class Context: def __init__(self, message, bot): self.message = message self.bot = bot async def send(self, content: Optional[str] = None, embeds: Optional[list[Embed]] = None, embed: Optional[Embed] = None, attachments: Optional[list[File]] = None) -> Message: """Sends a message in a channel, you must send at least one of either `content`, `embeds` or `attachments` Parameters ----------- content: Optional[:class:`str`] The content of the message, this will not include system message's content attachments: Optional[list[:class:`File`]] The attachments of the message embeds: Optional[list[:class:`Embed`]] The embeds of the message Returns -------- :class:`Message` The message that was just sent """ return await self.message.channel.send(content, embeds, embed, attachments)

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0

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null

0

1

0

1

0

2

bff7028914bc52a8b384670d2126ddb356c5fd23

2,860

py

Python

372_palanced.py

RLeary/rdp_challenges

b14cc27bf3afd1d373f26e5d154e6c0cf3d7ca05

[ "MIT" ]

null

372_palanced.py

RLeary/rdp_challenges

b14cc27bf3afd1d373f26e5d154e6c0cf3d7ca05

[ "MIT" ]

null

372_palanced.py

RLeary/rdp_challenges

b14cc27bf3afd1d373f26e5d154e6c0cf3d7ca05

[ "MIT" ]

null

"""Given a string containing only the characters x and y, find whether there are the same number of xs and ys. balanced("xxxyyy") => true balanced("yyyxxx") => true balanced("xxxyyyy") => false balanced("yyxyxxyxxyyyyxxxyxyx") => true balanced("xyxxxxyyyxyxxyxxyy") => false balanced("") => true balanced("x") => false """ """Optional bonus Given a string containing only lowercase letters, find whether every letter that appears in the string appears the same number of times. Don't forget to handle the empty string ("") correctly! balanced_bonus("xxxyyyzzz") => true balanced_bonus("abccbaabccba") => true balanced_bonus("xxxyyyzzzz") => false balanced_bonus("abcdefghijklmnopqrstuvwxyz") => true balanced_bonus("pqq") => false balanced_bonus("fdedfdeffeddefeeeefddf") => false balanced_bonus("www") => true balanced_bonus("x") => true balanced_bonus("") => true Note that balanced_bonus behaves differently than balanced for a few inputs, e.g. "x". """ def balanced(string): x_count, y_count = 0, 0 for char in string: if char == 'x': x_count = x_count + 1 elif char =='y': y_count = y_count + 1 else: print("Strings may only contain 'x' or 'y'. Exiting") exit() if x_count == y_count: return True else: return False # From reddit comments def balanced_bonus(string): if len(string) == 0: return True letters = {} for letter in string: try: letters[letter] += 1 except: letters[letter] = 1 return len(set(letters.values())) == 1 print("balanced(\"xxxyyy\"): ", balanced("xxxyyy")) print("balanced(\"yyyxxx\"): ", balanced("yyyxxx")) print("balanced(\"xxxyyyy\"): ", balanced("xxxyyyy")) print("balanced(\"yyxyxxyxxyyyyxxxyxyx\"): ", balanced("yyxyxxyxxyyyyxxxyxyx")) print("balanced(\"xyxxxxyyyxyxxyxxyy\"): ", balanced("xyxxxxyyyxyxxyxxyy")) print("balanced(\"\"): ", balanced("")) print("balanced(\"x\"): ", balanced("x")) #print("balanced(\"xxxyyya\"): ", balanced("xxxyyya")) print("balanced_bonus(\"xxxyyyzzz\"): ", balanced_bonus("xxxyyyzzz")) print("balanced_bonus(\"abccbaabccba\"): ", balanced_bonus("abccbaabccba")) print("balanced_bonus(\"xxxyyyzzzz\"): ", balanced_bonus("xxxyyyzzzz")) print("balanced_bonus(\"abcdefghijklmnopqrstuvwxyz\"): ", balanced_bonus("abcdefghijklmnopqrstuvwxyz")) print("balanced_bonus(\"pqq\"): ", balanced_bonus("pqq")) print("balanced_bonus(\"fdedfdeffeddefeeeefddf\"): ", balanced_bonus("fdedfdeffeddefeeeefddf")) print("balanced_bonus(\"www\"): ", balanced_bonus("www")) print("balanced_bonus(\"\"): ", balanced_bonus("")) print("balanced_bonus(\"x\"): ", balanced_bonus("x")) # one line solution from reddit: #def balanced(string): # return string.lower().count("x") == string.lower().count("y")

35.308642

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0.425

0

null

1

0

null

0

1

0

2

870471c2d2cfa3694cd35571e655bc89ffdfcb61

1,032

py

Python

python/test/test_super_multiple_order_api.py

ashwinkp/ksapi

c348765cefb4d51fd90febcbfa9ff890b67bdc7d

[ "Apache-2.0" ]

7

2022-02-05T16:20:37.000Z

2022-02-27T16:48:28.000Z

python/test/test_super_multiple_order_api.py

ashwinkp/ksapi

c348765cefb4d51fd90febcbfa9ff890b67bdc7d

[ "Apache-2.0" ]

19

2022-02-03T12:40:08.000Z

2022-03-30T09:12:46.000Z

python/test/test_super_multiple_order_api.py

ashwinkp/ksapi

c348765cefb4d51fd90febcbfa9ff890b67bdc7d

[ "Apache-2.0" ]

12

2021-12-23T06:14:21.000Z

2022-03-28T07:47:19.000Z

# coding: utf-8 from __future__ import absolute_import import unittest import ks_api_client from ks_api_client.api.super_multiple_order_api import SuperMultipleOrderApi # noqa: E501 from ks_api_client.rest import ApiException class TestSuperMultipleOrderApi(unittest.TestCase): """SuperMultipleOrderApi unit test stubs""" def setUp(self): self.api = ks_api_client.api.super_multiple_order_api.SuperMultipleOrderApi() # noqa: E501 def tearDown(self): pass def test_cancel_sm_order(self): """Test case for cancel_sm_order Cancel an Super Multiple order # noqa: E501 """ pass def test_modify_sm_order(self): """Test case for modify_sm_order Modify an existing super multiple order # noqa: E501 """ pass def test_place_new_sm_order(self): """Test case for place_new_sm_order Place a New Super Multiple order # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

21.5

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null

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null

0

1

0

1

0

2

8710f101398ef0acb5a1b6361f52aad333d1ef26

2,505

py

Python

performance/build/testsuite.py

marksantos/thrust

67bbec34a7fdb9186aea6c269870b517e42e4388

[ "Apache-2.0" ]

28

2017-10-04T03:41:56.000Z

2021-07-18T14:53:36.000Z

performance/build/testsuite.py

marksantos/thrust

67bbec34a7fdb9186aea6c269870b517e42e4388

[ "Apache-2.0" ]

13

2017-09-06T10:49:44.000Z

2019-09-07T13:53:24.000Z

performance/build/testsuite.py

marksantos/thrust

67bbec34a7fdb9186aea6c269870b517e42e4388

[ "Apache-2.0" ]

15

2018-02-13T00:08:55.000Z

2022-02-14T05:46:43.000Z

"""functions that generate reports and figures using the .xml output from the performance tests""" __all__ = ['TestSuite', 'parse_testsuite_xml'] class TestSuite: def __init__(self, name, platform, tests): self.name = name self.platform = platform self.tests = tests def __repr__(self): import pprint return 'TestSuite' + pprint.pformat( (self.name, self.platform, self.tests) ) class Test: def __init__(self, name, variables, results): self.name = name self.variables = variables self.results = results def __repr__(self): return 'Test' + repr( (self.name, self.variables, self.results) ) def scalar_element(element): value = element.get('value') try: return int(value) except: try: return float(value) except: return value def parse_testsuite_platform(et): testsuite_platform = {} platform_element = et.find('platform') device_element = platform_element.find('device') device = {} device['name'] = device_element.get('name') for property_element in device_element.findall('property'): device[property_element.get('name')] = scalar_element(property_element) testsuite_platform['device'] = device return testsuite_platform def parse_testsuite_tests(et): testsuite_tests = {} for test_element in et.findall('test'): # test name test_name = test_element.get('name') # test variables: name -> value test_variables = {} for variable_element in test_element.findall('variable'): test_variables[variable_element.get('name')] = scalar_element(variable_element) # test results: name -> (value, units) test_results = {} for result_element in test_element.findall('result'): # TODO make this a thing that can be converted to its first element when treated like a number test_results[result_element.get('name')] = scalar_element(result_element) testsuite_tests[test_name] = Test(test_name, test_variables, test_results) return testsuite_tests def parse_testsuite_xml(filename): import xml.etree.ElementTree as ET et = ET.parse(filename) testsuite_name = et.getroot().get('name') testsuite_platform = parse_testsuite_platform(et) testsuite_tests = parse_testsuite_tests(et) return TestSuite(testsuite_name, testsuite_platform, testsuite_tests)

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0.037037

0

null

0

1

0

null

0

1

0

2

87214198b671c3bd959654596c5df39383991bf6

3,663

py

Python

sample_project/batchimport/batchimport_settings.py

gitdaniel228/realtor

4366d57b064be87b31c8a036b3ed7a99b2036461

[ "BSD-3-Clause" ]

null

sample_project/batchimport/batchimport_settings.py

gitdaniel228/realtor

4366d57b064be87b31c8a036b3ed7a99b2036461

[ "BSD-3-Clause" ]

null

sample_project/batchimport/batchimport_settings.py

gitdaniel228/realtor

4366d57b064be87b31c8a036b3ed7a99b2036461

[ "BSD-3-Clause" ]

null

""" The batchimport_settings.py module initializes itself with defaults but allows for the values to be overridden via the django project's settings file. NOTE: These values should be considered CONSTANTS even though I'm kind of cheating and using them as variables to initialize them here. """ import settings def get_setting(setting_name, default): """ A simple setting retrieval function to pull settings from the main settings.py file. """ setting = default print setting_name print default try: setting=getattr(settings, setting_name) except (AttributeError, NameError): pass return setting # INITIALIZE BATCHIMPORT SETTINGS... BATCH_IMPORT_START_TEMPLATE = get_setting('BATCH_IMPORT_START_TEMPLATE', 'batchimport/start.html') BATCH_IMPORT_OPTIONS_TEMPLATE = get_setting('BATCH_IMPORT_OPTIONS_TEMPLATE', 'batchimport/options.html') BATCH_IMPORT_EXECUTE_TEMPLATE = get_setting('BATCH_IMPORT_EXECUTE_TEMPLATE', 'batchimport/processing.html') BATCH_IMPORT_RESULTS_TEMPLATE = get_setting('BATCH_IMPORT_RESULTS_TEMPLATE', 'batchimport/results.html') # Specify the list of models in your application which are importable # in batch. If you do not provide a list, the system will use introspection # to get a list of ALL models in your application (via INSTALLED_APPS). BATCH_IMPORT_IMPORTABLE_MODELS = get_setting('BATCH_IMPORT_IMPORTABLE_MODELS', []) # Specify where the uploaded Microsoft Excel file will be saved to the # system. # NOTE: This must be a absolute path. # NOTE: Django must have read/write access to this location. BATCH_IMPORT_TEMPFILE_LOCATION = get_setting('BATCH_IMPORT_TEMPFILE_LOCATION', '/tmp/') # By default, the system does not allow you to import data for fields # that are not EDITABLE (i.e. in their model field declarations, you've # set editable=False). You can override this behavior here: BATCH_IMPORT_UNEDITABLE_FIELDS = get_setting('BATCH_IMPORT_UNEDITABLE_FIELDS', False) # Sometimes you will want to override the value coming in from the XLS # file with a constant or a dynamically generated value. # The following setting is a dictionary of values (or callables) per # each fully specified model field. # NOTE: You must import the item into your settings file if it is a # callable. BATCH_IMPORT_VALUE_OVERRIDES = get_setting('BATCH_IMPORT_VALUE_OVERRIDES', {}) # The system can show you individual imports, updates, # or errors individually using the following boolean options. # Note that True is assumed for all three if no setting is # present. BATCH_IMPORT_SHOW_SUCCESSFUL_IMPORTS = get_setting('BATCH_IMPORT_SHOW_SUCCESSFUL_IMPORTS', True) BATCH_IMPORT_SHOW_SUCCESSFUL_UPDATES = get_setting('BATCH_IMPORT_SHOW_SUCCESSFUL_UPDATES', True) BATCH_IMPORT_SHOW_ERRORS = get_setting('BATCH_IMPORT_SHOW_ERRORS', True) # Whether the system should stop on the first error # or process the entire uploaded spreadsheet and show # errors afterwards. BATCH_IMPORT_STOP_ON_FIRST_ERROR = get_setting('BATCH_IMPORT_STOP_ON_FIRST_ERROR', False) # Whether or not to update duplicates or simply # ignore them. Note that duplicates are determined # based on the user's specification of model fields # as identification fields. If these are not set, a duplicate # must match at all column/fields. BATCH_IMPORT_UPDATE_DUPS = get_setting('BATCH_IMPORT_UPDATE_DUPS', False) # If no options are set for start/end row, defaults are used that # assume (1) the spreadsheet has a header row (indicating that data # starts on row #2 and (2) the entire spreadsheet is to be processed. BATCH_IMPORT_START_ROW = get_setting('BATCH_IMPORT_START_ROW', 2) BATCH_IMPORT_END_ROW = get_setting('BATCH_IMPORT_END_ROW', -1)

43.094118

107

0.803986

551

3,663

5.128857

0.352087

0.116773

0.079618

0.111465

0.141897

0.043878

0

0.001574

0.132951

3,663

84

108

43.607143

0.888224

0.451542

0

0.334177

0.318354

0

null

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0

null

0

null

0

1

0

1

0

2

872b15d4a269e14f5342a8109b8993012c978013

1,222

py

Python

trieste/models/gpflow/__init__.py

henrymoss/trieste

4c8d14ead793fb49cdbb883789b799310873db70

[ "Apache-2.0" ]

1

2021-10-02T19:53:48.000Z

trieste/models/gpflow/__init__.py

TsingQAQ/trieste

6b2bb0e73649debaac81157f0f9fdb8d3fdfef5b

[ "Apache-2.0" ]

null

trieste/models/gpflow/__init__.py

TsingQAQ/trieste

6b2bb0e73649debaac81157f0f9fdb8d3fdfef5b

[ "Apache-2.0" ]

null

# Copyright 2021 The Trieste Contributors # # 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. r""" This package contains the primary interface for Gaussian process models. It also contains a number of :class:`TrainableProbabilisticModel` wrappers for GPflow-based models. """ from . import config, optimizer from .interface import GPflowPredictor from .models import GaussianProcessRegression, SparseVariational, VariationalGaussianProcess from .sampler import ( BatchReparametrizationSampler, IndependentReparametrizationSampler, RandomFourierFeatureTrajectorySampler, ) from .utils import ( M, assert_data_is_compatible, check_optimizer, randomize_hyperparameters, squeeze_hyperparameters, )

34.914286

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0.787234

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0.062762

0.027197

0.033473

0

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1,222

34

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0.918605

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0

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0

0.3125

0

null

0

null

0

1

0

1

0

2

872daf06ad41c681b338cb82204799f97cdb8c02

829

py

Python

expenses_tracker/expenses_tracker/web/vaidators.py

LBistrev/python-web-basic

e798d5eb22657a014d3dd0f98e4c3c585336c4fc

[ "MIT" ]

null

expenses_tracker/expenses_tracker/web/vaidators.py

LBistrev/python-web-basic

e798d5eb22657a014d3dd0f98e4c3c585336c4fc

[ "MIT" ]

null

expenses_tracker/expenses_tracker/web/vaidators.py

LBistrev/python-web-basic

e798d5eb22657a014d3dd0f98e4c3c585336c4fc

[ "MIT" ]

null

from django.core.exceptions import ValidationError from django.utils.deconstruct import deconstructible VALIDATE_ONLY_LETTERS_EXCEPTION_MESSAGE = 'Ensure this value contains only letters.' def validate_only_letters(value): if not value.isalpha(): raise ValidationError(VALIDATE_ONLY_LETTERS_EXCEPTION_MESSAGE) @deconstructible class ImageMaxSizeInMbValidator: def __init__(self, max_size): self.max_size = max_size def __call__(self, value): filesize = value.file.size if filesize > self.__megabytes_to_bytes(self.max_size): raise ValidationError(self.__get_exception_message()) @staticmethod def __megabytes_to_bytes(value): return value * 1024 * 1024 def __get_exception_message(self): return f'Max file size is {self.max_size:.2f}MB'

29.607143

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0.076125

0.096886

0.121107

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829

27

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0

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0

null

0

null

0

1

0

1

0

2

872e1c57fa4968272b0db8d13d59197b314f92ad

566

py

Python

pretalx_mattermost/apps.py

toshywoshy/pretalx-mattermost

69499093750f613f74ab47c9798f5f90431372ba

[ "Apache-2.0" ]

null

pretalx_mattermost/apps.py

toshywoshy/pretalx-mattermost

69499093750f613f74ab47c9798f5f90431372ba

[ "Apache-2.0" ]

null

pretalx_mattermost/apps.py

toshywoshy/pretalx-mattermost

69499093750f613f74ab47c9798f5f90431372ba

[ "Apache-2.0" ]

null

from django.apps import AppConfig from django.utils.translation import gettext_lazy class PluginApp(AppConfig): name = 'pretalx_mattermost' verbose_name = 'MatterMost integration for pretalx' class PretalxPluginMeta: name = gettext_lazy('MatterMost integration for pretalx') author = 'Toshaan Bharvani' description = gettext_lazy( 'Receive notifications whenever a submission changes its state.' ) visible = True version = '0.0.0' def ready(self): from . import signals # NOQA

28.3

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566

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0

null

0

1

0

null

0

1

0

2

872f00ae4d30467f373664e873bfd51982763b06

20,371

py

Python

mscreen/autodocktools_prepare_py3k/AutoDockTools/VisionInterface/Adt/Macro/AutodockVS.py

e-mayo/mscreen

a50f0b2f7104007c730baa51b4ec65c891008c47

[ "MIT" ]

9

2021-03-06T04:24:28.000Z

2022-01-03T09:53:07.000Z

AutoDockTools/VisionInterface/Adt/Macro/AutodockVS.py

e-mayo/autodocktools-prepare-py3k

2dd2316837bcb7c19384294443b2855e5ccd3e01

[ "BSD-3-Clause" ]

3

2021-03-07T05:37:16.000Z

2021-09-19T15:06:54.000Z

AutoDockTools/VisionInterface/Adt/Macro/AutodockVS.py

e-mayo/autodocktools-prepare-py3k

2dd2316837bcb7c19384294443b2855e5ccd3e01

[ "BSD-3-Clause" ]

4

2019-08-28T23:11:39.000Z

2021-11-27T08:43:36.000Z

######################################################################## # # Vision Macro - Python source code - file generated by vision # Thursday 01 July 2010 13:22:44 # # The Scripps Research Institute (TSRI) # Molecular Graphics Lab # La Jolla, CA 92037, USA # # Copyright: Daniel Stoffler, Michel Sanner and TSRI # # revision: Guillaume Vareille # ######################################################################### # # $Header: /opt/cvs/python/packages/share1.5/AutoDockTools/VisionInterface/Adt/Macro/AutodockVS.py,v 1.9 2010/07/02 00:22:59 jren Exp $ # # $Id: AutodockVS.py,v 1.9 2010/07/02 00:22:59 jren Exp $ # from NetworkEditor.macros import MacroNode class AutodockVS(MacroNode): ''' Runs Autodock Virtual Screening on remote server in parallel Inputs: port 1: LigandDB object containing info about the ligand library port 2: autogrid_result object containing info about autogrid results port 3: DPF template object Outputs: port 1: string containing URL to autodock virtual screening results ''' def __init__(self, constrkw={}, name='AutodockVS', **kw): kw['name'] = name MacroNode.__init__(*(self,), **kw) def beforeAddingToNetwork(self, net): MacroNode.beforeAddingToNetwork(self, net) from WebServices.VisionInterface.WSNodes import wslib from Vision.StandardNodes import stdlib net.getEditor().addLibraryInstance(wslib,"WebServices.VisionInterface.WSNodes", "wslib") from WebServices.VisionInterface.WSNodes import addOpalServerAsCategory try: addOpalServerAsCategory("http://kryptonite.nbcr.net/opal2", replace=False) except: pass def afterAddingToNetwork(self): masterNet = self.macroNetwork from NetworkEditor.macros import MacroNode MacroNode.afterAddingToNetwork(self) from WebServices.VisionInterface.WSNodes import wslib from Vision.StandardNodes import stdlib ## building macro network ## AutodockVS_9 = self from traceback import print_exc from WebServices.VisionInterface.WSNodes import wslib from Vision.StandardNodes import stdlib masterNet.getEditor().addLibraryInstance(wslib,"WebServices.VisionInterface.WSNodes", "wslib") from WebServices.VisionInterface.WSNodes import addOpalServerAsCategory try: addOpalServerAsCategory("http://kryptonite.nbcr.net/opal2", replace=False) except: pass try: ## saving node input Ports ## input_Ports_10 = self.macroNetwork.ipNode input_Ports_10.configure(*(), **{'paramPanelImmediate': 1, 'expanded': False}) except: print("WARNING: failed to restore MacroInputNode named input Ports in network self.macroNetwork") print_exc() input_Ports_10=None try: ## saving node output Ports ## output_Ports_11 = self.macroNetwork.opNode output_Ports_11.configure(*(), **{'paramPanelImmediate': 1, 'expanded': False}) except: print("WARNING: failed to restore MacroOutputNode named output Ports in network self.macroNetwork") print_exc() output_Ports_11=None try: ## saving node PrepareADVSInputs ## from Vision.StandardNodes import Generic PrepareADVSInputs_12 = Generic(constrkw={}, name='PrepareADVSInputs', library=stdlib) self.macroNetwork.addNode(PrepareADVSInputs_12,217,76) PrepareADVSInputs_12.addInputPort(*(), **{'singleConnection': True, 'name': 'ligands', 'cast': True, 'datatype': 'LigandDB', 'defaultValue': None, 'required': True, 'height': 8, 'width': 12, 'shape': 'rect', 'color': '#FFCCFF', 'originalDatatype': 'None'}) PrepareADVSInputs_12.addInputPort(*(), **{'singleConnection': True, 'name': 'autogrid_results', 'cast': True, 'datatype': 'autogrid_results', 'defaultValue': None, 'required': True, 'height': 8, 'width': 12, 'shape': 'triangle', 'color': '#FF33CC', 'originalDatatype': 'None'}) PrepareADVSInputs_12.addInputPort(*(), **{'singleConnection': True, 'name': 'dpf_template_obj', 'cast': True, 'datatype': 'dpf_template', 'defaultValue': None, 'required': True, 'height': 8, 'width': 12, 'shape': 'triangle', 'color': '#9933FF', 'originalDatatype': 'None'}) PrepareADVSInputs_12.addOutputPort(*(), **{'name': 'filter_file', 'datatype': 'string', 'height': 8, 'width': 12, 'shape': 'oval', 'color': 'white'}) PrepareADVSInputs_12.addOutputPort(*(), **{'name': 'ligand_lib', 'datatype': 'string', 'height': 8, 'width': 12, 'shape': 'oval', 'color': 'white'}) PrepareADVSInputs_12.addOutputPort(*(), **{'name': 'dpf_template_file', 'datatype': 'string', 'height': 8, 'width': 12, 'shape': 'oval', 'color': 'white'}) PrepareADVSInputs_12.addOutputPort(*(), **{'name': 'autogrid_res_url', 'datatype': 'string', 'height': 8, 'width': 12, 'shape': 'oval', 'color': 'white'}) PrepareADVSInputs_12.addOutputPort(*(), **{'name': 'autogrid_res_local', 'datatype': 'string', 'height': 8, 'width': 12, 'shape': 'oval', 'color': 'white'}) code = """def doit(self, ligands, autogrid_results, dpf_template_obj): dpf = dpf_template_obj.fullpath if not(os.path.exists(dpf)): print "ERROR: DPF template " + dpf + " does not exist!" return '''stop''' filter_file = ligands.filter_file if autogrid_results.type == '''url''': autogrid_result_url = autogrid_results.path autogrid_result_local = "" else: autogrid_result_url = "" autogrid_result_local = autogrid_results.path ligand_lib = ligands.loc pass self.outputData(filter_file=filter_file, ligand_lib=ligand_lib, dpf_template_file=dpf, autogrid_res_url=autogrid_result_url, autogrid_res_local=autogrid_result_local) ## to ouput data on port filter_file use ## self.outputData(filter_file=data) ## to ouput data on port ligand_lib use ## self.outputData(ligand_lib=data) ## to ouput data on port dpf_template_file use ## self.outputData(dpf_template_file=data) ## to ouput data on port autogrid_res_url use ## self.outputData(autogrid_res_url=data) ## to ouput data on port autogrid_res_local use ## self.outputData(autogrid_res_local=data) """ PrepareADVSInputs_12.configure(function=code) PrepareADVSInputs_12.configure(*(), **{'paramPanelImmediate': 1, 'expanded': False}) except: print("WARNING: failed to restore Generic named PrepareADVSInputs in network self.macroNetwork") print_exc() PrepareADVSInputs_12=None try: ## saving node autodock_kryptonite_nbcr_net ## from NetworkEditor.items import FunctionNode autodock_kryptonite_nbcr_net_13 = FunctionNode(functionOrString='autodock_kryptonite_nbcr_net', host="http://kryptonite.nbcr.net/opal2", namedArgs={'ga_run': '', 'lib': '', 'filter_file_url': '', 'ga_num_evals': '', 'filter_file': '', 'sched': 'SGE', 'urllib': '', 'ga_num_generations': '', 'dpf': '', 'u': '', 'utar': '', 'userlib': '', 'ga_pop_size': '', 'localRun': False, 'email': '', 'execPath': ''}, constrkw={'functionOrString': "'autodock_kryptonite_nbcr_net'", 'host': '"http://kryptonite.nbcr.net/opal2"', 'namedArgs': {'ga_run': '', 'lib': '', 'filter_file_url': '', 'ga_num_evals': '', 'filter_file': '', 'sched': 'SGE', 'urllib': '', 'ga_num_generations': '', 'dpf': '', 'u': '', 'utar': '', 'userlib': '', 'ga_pop_size': '', 'localRun': False, 'email': '', 'execPath': ''}}, name='autodock_kryptonite_nbcr_net', library=wslib) self.macroNetwork.addNode(autodock_kryptonite_nbcr_net_13,217,132) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_run'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['lib'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file_url'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_num_evals'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['sched'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['urllib'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_num_generations'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['dpf'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['u'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['utar'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['userlib'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_pop_size'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['localRun'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['email'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['execPath'].configure(*(), **{'defaultValue': None}) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_run'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['lib'].widget.configure(*(), **{'choices': ('sample', 'NCIDS_SC', 'NCI_DS1', 'NCI_DS2', 'human_metabolome', 'chembridge_building_blocks', 'drugbank_nutraceutics', 'drugbank_smallmol', 'fda_approved')}) autodock_kryptonite_nbcr_net_13.inputPortByName['lib'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file_url'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_num_evals'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file'].rebindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['filter_file'].unbindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['sched'].widget.configure(*(), **{'choices': ('SGE', 'CSF')}) autodock_kryptonite_nbcr_net_13.inputPortByName['sched'].widget.set(r"SGE", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['urllib'].rebindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['urllib'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['urllib'].unbindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['ga_num_generations'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['dpf'].rebindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['dpf'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['dpf'].unbindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['u'].rebindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['u'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['u'].unbindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['utar'].rebindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['utar'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['utar'].unbindWidget() autodock_kryptonite_nbcr_net_13.inputPortByName['userlib'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['ga_pop_size'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['localRun'].widget.set(0, run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['email'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.inputPortByName['execPath'].widget.set(r"", run=False) autodock_kryptonite_nbcr_net_13.configure(*(), **{'paramPanelImmediate': 1, 'expanded': False}) except: print("WARNING: failed to restore FunctionNode named autodock_kryptonite_nbcr_net in network self.macroNetwork") print_exc() autodock_kryptonite_nbcr_net_13=None try: ## saving node GetMainURLFromList ## from WebServices.VisionInterface.WSNodes import GetMainURLFromListNode GetMainURLFromList_14 = GetMainURLFromListNode(constrkw={}, name='GetMainURLFromList', library=wslib) self.macroNetwork.addNode(GetMainURLFromList_14,217,188) GetMainURLFromList_14.inputPortByName['urls'].configure(*(), **{'defaultValue': None}) GetMainURLFromList_14.configure(*(), **{'paramPanelImmediate': 1, 'expanded': False}) except: print("WARNING: failed to restore GetMainURLFromListNode named GetMainURLFromList in network self.macroNetwork") print_exc() GetMainURLFromList_14=None #self.macroNetwork.run() self.macroNetwork.freeze() ## saving connections for network AutodockVS ## input_Ports_10 = self.macroNetwork.ipNode if input_Ports_10 is not None and PrepareADVSInputs_12 is not None: try: self.macroNetwork.connectNodes( input_Ports_10, PrepareADVSInputs_12, "new", "ligands", blocking=True , splitratio=[0.60597534741634829, 0.41083180453223428]) except: print("WARNING: failed to restore connection between input_Ports_10 and PrepareADVSInputs_12 in network self.macroNetwork") if input_Ports_10 is not None and PrepareADVSInputs_12 is not None: try: self.macroNetwork.connectNodes( input_Ports_10, PrepareADVSInputs_12, "new", "autogrid_results", blocking=True , splitratio=[0.64561658610430228, 0.21974682015753622]) except: print("WARNING: failed to restore connection between input_Ports_10 and PrepareADVSInputs_12 in network self.macroNetwork") if input_Ports_10 is not None and PrepareADVSInputs_12 is not None: try: self.macroNetwork.connectNodes( input_Ports_10, PrepareADVSInputs_12, "new", "dpf_template_obj", blocking=True , splitratio=[0.52491295380143521, 0.32751034461281114]) except: print("WARNING: failed to restore connection between input_Ports_10 and PrepareADVSInputs_12 in network self.macroNetwork") if autodock_kryptonite_nbcr_net_13 is not None and GetMainURLFromList_14 is not None: try: self.macroNetwork.connectNodes( autodock_kryptonite_nbcr_net_13, GetMainURLFromList_14, "result", "urls", blocking=True , splitratio=[0.36974288957131424, 0.63465596053596318]) except: print("WARNING: failed to restore connection between autodock_kryptonite_nbcr_net_13 and GetMainURLFromList_14 in network self.macroNetwork") output_Ports_11 = self.macroNetwork.opNode if GetMainURLFromList_14 is not None and output_Ports_11 is not None: try: self.macroNetwork.connectNodes( GetMainURLFromList_14, output_Ports_11, "newurl", "new", blocking=True , splitratio=[0.34850477186787743, 0.35637513198385085]) except: print("WARNING: failed to restore connection between GetMainURLFromList_14 and output_Ports_11 in network self.macroNetwork") if PrepareADVSInputs_12 is not None and autodock_kryptonite_nbcr_net_13 is not None: try: self.macroNetwork.connectNodes( PrepareADVSInputs_12, autodock_kryptonite_nbcr_net_13, "filter_file", "filter_file", blocking=True , splitratio=[0.33230642287344903, 0.65770700108889613]) except: print("WARNING: failed to restore connection between PrepareADVSInputs_12 and autodock_kryptonite_nbcr_net_13 in network self.macroNetwork") if PrepareADVSInputs_12 is not None and autodock_kryptonite_nbcr_net_13 is not None: try: self.macroNetwork.connectNodes( PrepareADVSInputs_12, autodock_kryptonite_nbcr_net_13, "ligand_lib", "urllib", blocking=True , splitratio=[0.50680104599665787, 0.51414170500293577]) except: print("WARNING: failed to restore connection between PrepareADVSInputs_12 and autodock_kryptonite_nbcr_net_13 in network self.macroNetwork") if PrepareADVSInputs_12 is not None and autodock_kryptonite_nbcr_net_13 is not None: try: self.macroNetwork.connectNodes( PrepareADVSInputs_12, autodock_kryptonite_nbcr_net_13, "dpf_template_file", "dpf", blocking=True , splitratio=[0.51615646597598808, 0.25661305528484007]) except: print("WARNING: failed to restore connection between PrepareADVSInputs_12 and autodock_kryptonite_nbcr_net_13 in network self.macroNetwork") if PrepareADVSInputs_12 is not None and autodock_kryptonite_nbcr_net_13 is not None: try: self.macroNetwork.connectNodes( PrepareADVSInputs_12, autodock_kryptonite_nbcr_net_13, "autogrid_res_url", "u", blocking=True , splitratio=[0.5760732944947704, 0.2032376887917188]) except: print("WARNING: failed to restore connection between PrepareADVSInputs_12 and autodock_kryptonite_nbcr_net_13 in network self.macroNetwork") if PrepareADVSInputs_12 is not None and autodock_kryptonite_nbcr_net_13 is not None: try: self.macroNetwork.connectNodes( PrepareADVSInputs_12, autodock_kryptonite_nbcr_net_13, "autogrid_res_local", "utar", blocking=True , splitratio=[0.52802808938949819, 0.66978534572736881]) except: print("WARNING: failed to restore connection between PrepareADVSInputs_12 and autodock_kryptonite_nbcr_net_13 in network self.macroNetwork") self.macroNetwork.runOnNewData.value = False ## modifying MacroInputNode dynamic ports input_Ports_10 = self.macroNetwork.ipNode input_Ports_10.outputPorts[1].configure(name='PrepareADVSInputs_ligands') input_Ports_10.outputPorts[2].configure(name='PrepareADVSInputs_autogrid_results') input_Ports_10.outputPorts[3].configure(name='PrepareADVSInputs_dpf_template_obj') ## modifying MacroOutputNode dynamic ports output_Ports_11 = self.macroNetwork.opNode output_Ports_11.inputPorts[1].configure(singleConnection='auto') output_Ports_11.inputPorts[1].configure(name='GetMainURLFromList_newurl') ## configure MacroNode input ports AutodockVS_9.inputPorts[0].configure(name='PrepareADVSInputs_ligands') AutodockVS_9.inputPorts[0].configure(datatype='LigandDB') AutodockVS_9.inputPorts[1].configure(name='PrepareADVSInputs_autogrid_results') AutodockVS_9.inputPorts[1].configure(datatype='autogrid_results') AutodockVS_9.inputPorts[2].configure(name='PrepareADVSInputs_dpf_template_obj') AutodockVS_9.inputPorts[2].configure(datatype='dpf_template') ## configure MacroNode output ports AutodockVS_9.outputPorts[0].configure(name='GetMainURLFromList_newurl') AutodockVS_9.outputPorts[0].configure(datatype='string') AutodockVS_9.shrink() ## reset modifications ## AutodockVS_9.resetTags() AutodockVS_9.buildOriginalList()

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Python

main/PublicEmotionDatasets/Adobe/process/train_glove.py

cvlab-stonybrook/Emotion-Prediction

fb45f943208467ef91d8e43874599263f669166d

[ "MIT" ]

10

2019-12-19T21:17:46.000Z

2022-02-22T15:47:29.000Z

main/PublicEmotionDatasets/Adobe/process/train_glove.py

cvlab-stonybrook/Emotion-Prediction

fb45f943208467ef91d8e43874599263f669166d

[ "MIT" ]

2

2020-06-05T03:14:15.000Z

2020-06-14T09:14:54.000Z

main/PublicEmotionDatasets/Adobe/process/train_glove.py

cvlab-stonybrook/Emotion-Prediction

fb45f943208467ef91d8e43874599263f669166d

[ "MIT" ]

2

2020-01-08T14:49:46.000Z

2021-06-06T03:36:04.000Z

""" Copyright (c) 2019 Yevheniia Soroka Licensed under the MIT License Author: Yevheniia Soroka Email: ysoroka@cs.stonybrook.edu Last modified: 18/12/2019 Usage: Run this script to train GloVe model on Adobe tags. """ import os import gluonnlp as nlp import numpy as np import matplotlib.pyplot as plt import seaborn as sb from glove import Corpus, Glove import glob import pickle from gensim.models import Word2Vec from gensim.models import KeyedVectors model_folder = "/nfs/bigfovea/add_disk0/eugenia/Emotion/wordembedding_models/" #Creating a corpus object corpus = Corpus() #Training the corpus to generate the co occurence matrix which is used in GloVe corpus.fit(lines, window=10) # train the model glove = Glove(no_components=5, learning_rate=0.05) glove.fit(corpus.matrix, epochs=30, no_threads=4, verbose=True) glove.add_dictionary(corpus.dictionary) # save the model glove.save(os.path.join(model_folder, 'glove_adobe.model'))

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Python

sdk/python/pulumi_azure_native/security/v20170801preview/_enums.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

31

2020-09-21T09:41:01.000Z

2021-02-26T13:21:59.000Z

sdk/python/pulumi_azure_native/security/v20170801preview/_enums.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

231

2020-09-21T09:38:45.000Z

2021-03-01T11:16:03.000Z

sdk/python/pulumi_azure_native/security/v20170801preview/_enums.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

4

2020-09-29T14:14:59.000Z

2021-02-10T20:38:16.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from enum import Enum __all__ = [ 'AlertNotifications', 'AlertsToAdmins', 'DataSource', 'ExportData', 'RecommendationConfigStatus', 'RecommendationType', 'SecuritySolutionStatus', ] class AlertNotifications(str, Enum): """ Whether to send security alerts notifications to the security contact """ ON = "On" OFF = "Off" class AlertsToAdmins(str, Enum): """ Whether to send security alerts notifications to subscription admins """ ON = "On" OFF = "Off" class DataSource(str, Enum): TWIN_DATA = "TwinData" class ExportData(str, Enum): RAW_EVENTS = "RawEvents" class RecommendationConfigStatus(str, Enum): """ Recommendation status. The recommendation is not generated when the status is disabled """ DISABLED = "Disabled" ENABLED = "Enabled" class RecommendationType(str, Enum): """ The recommendation type. """ IO_T_ACR_AUTHENTICATION = "IoT_ACRAuthentication" IO_T_AGENT_SENDS_UNUTILIZED_MESSAGES = "IoT_AgentSendsUnutilizedMessages" IO_T_BASELINE = "IoT_Baseline" IO_T_EDGE_HUB_MEM_OPTIMIZE = "IoT_EdgeHubMemOptimize" IO_T_EDGE_LOGGING_OPTIONS = "IoT_EdgeLoggingOptions" IO_T_INCONSISTENT_MODULE_SETTINGS = "IoT_InconsistentModuleSettings" IO_T_INSTALL_AGENT = "IoT_InstallAgent" IO_T_IP_FILTER_DENY_ALL = "IoT_IPFilter_DenyAll" IO_T_IP_FILTER_PERMISSIVE_RULE = "IoT_IPFilter_PermissiveRule" IO_T_OPEN_PORTS = "IoT_OpenPorts" IO_T_PERMISSIVE_FIREWALL_POLICY = "IoT_PermissiveFirewallPolicy" IO_T_PERMISSIVE_INPUT_FIREWALL_RULES = "IoT_PermissiveInputFirewallRules" IO_T_PERMISSIVE_OUTPUT_FIREWALL_RULES = "IoT_PermissiveOutputFirewallRules" IO_T_PRIVILEGED_DOCKER_OPTIONS = "IoT_PrivilegedDockerOptions" IO_T_SHARED_CREDENTIALS = "IoT_SharedCredentials" IO_T_VULNERABLE_TLS_CIPHER_SUITE = "IoT_VulnerableTLSCipherSuite" class SecuritySolutionStatus(str, Enum): """ Security solution status """ ENABLED = "Enabled" DISABLED = "Disabled"

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875bf153c38837563607848c2a4373f619fc49b1

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py

Python

Programming I Python/Chapter 5/b project 5a/Eric Blanco Problem 13.py

eebr99/Python-Projects

016f72b3f13793cb73c333c6eaab313eddfae9e7

[ "MIT" ]

null

Programming I Python/Chapter 5/b project 5a/Eric Blanco Problem 13.py

eebr99/Python-Projects

016f72b3f13793cb73c333c6eaab313eddfae9e7

[ "MIT" ]

null

Programming I Python/Chapter 5/b project 5a/Eric Blanco Problem 13.py

eebr99/Python-Projects

016f72b3f13793cb73c333c6eaab313eddfae9e7

[ "MIT" ]

null

#Write a function named "falling_distance" that accepts an object's falling time #(in seconds) as an argument. The function should return the distance, in meters #, that the object has fallen during the time interval.Write a program that #calls the function in a loop that passes the values 1 through 10 as arguments #and displays the return value. def main(): print("This program shows an object's fall distance (in meters) with each") print('passing second from 1 to 10.') print() print('Time(s)\tDistance(m)') print('--------------------') for time in range (10 + 1): distance = falling_distance(time) print(time, '\t', format(distance, ',.1f')) def falling_distance(time): g = 9.8 distance = 0.5*g*time**2 #I believe the formula is incorrect, i think it return distance #means (1/2)gt^2 main()

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0

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8767ef401078ac093bf46d8edd93e289989ab422

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py

Python

dash/migrations/0001_initial.py

mohammedaliyu136/degree_pln2

70ac9f8ab774197a49fedcee9951c4b373a59ffd

[ "MIT" ]

null

dash/migrations/0001_initial.py

mohammedaliyu136/degree_pln2

70ac9f8ab774197a49fedcee9951c4b373a59ffd

[ "MIT" ]

null

dash/migrations/0001_initial.py

mohammedaliyu136/degree_pln2

70ac9f8ab774197a49fedcee9951c4b373a59ffd

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2018-08-03 08:53 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Education_and_Experience', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('organisation', models.CharField(max_length=200)), ('title', models.CharField(max_length=100)), ('summary', models.CharField(max_length=500)), ], ), migrations.CreateModel( name='Profile', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('firstname', models.CharField(max_length=100)), ('lastname', models.CharField(max_length=100)), ('image', models.ImageField(upload_to=b'pictures/', verbose_name=b'image')), ('title1', models.CharField(max_length=600)), ('phone', models.CharField(max_length=20)), ('email', models.EmailField(max_length=254)), ('address', models.CharField(max_length=150)), ('bio', models.TextField()), ('twitter_url', models.URLField()), ('facebook_url', models.URLField()), ('linkedin_url', models.URLField()), ('github_url', models.URLField()), ], ), migrations.CreateModel( name='Project', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('image', models.ImageField(upload_to=b'pictures/', verbose_name=b'image')), ('project_url', models.URLField(max_length=100)), ('github_url', models.URLField(max_length=500)), ], ), ]

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py

Python

premailer/__init__.py

locationlabs/premailer

85b0a65d1e30fa8b3c816a7d65e6efabe7d0a243

[ "BSD-3-Clause" ]

null

premailer/__init__.py

locationlabs/premailer

85b0a65d1e30fa8b3c816a7d65e6efabe7d0a243

[ "BSD-3-Clause" ]

null

premailer/__init__.py

locationlabs/premailer

85b0a65d1e30fa8b3c816a7d65e6efabe7d0a243

[ "BSD-3-Clause" ]

1

2021-09-08T09:52:55.000Z

__version__ = '1.12.1-LL' __build__ = '' # set by the build server

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5e3e80878441d234675aaeb1a994f2e6b44649b7

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py

Python

asnets/experiments/actprop_2l_h_add_pe.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

21

2017-12-05T13:27:36.000Z

2021-11-16T20:32:33.000Z

asnets/experiments/actprop_2l_h_add_pe.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

2

2018-07-16T12:15:46.000Z

2020-10-31T00:02:49.000Z

asnets/experiments/actprop_2l_h_add_pe.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

7

2018-03-19T13:45:13.000Z

2022-03-24T07:52:20.000Z

"""A two-layer configuration for the action/proposition network w/ h-add teacher & probabilistic evaluation (hence "_pe" at end of name).""" # use defaults from actprop_2l from .actprop_2l_h_add import * # noqa F401 # stochastic evaluation! DET_EVAL = False EVAL_ROUNDS = 30

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5e4091a3f85cb6be76f428d3575ec7a731ef06d0

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py

Python

tutorials/W3D1_RealNeurons/solutions/W3D1_Tutorial3_Solution_a0b79725.py

NinelK/course-content

317b4cf153a89afbddbd194e7fbb15c91588b3c5

[ "CC-BY-4.0" ]

26

2020-07-01T20:38:44.000Z

2021-06-20T06:37:27.000Z

tutorials/W3D1_RealNeurons/solutions/W3D1_Tutorial3_Solution_a0b79725.py

Andy-Dufrein/course-content

977f4ddaaa4f33746672930ae01d5ea592dbbba0

[ "CC-BY-4.0" ]

3

2020-06-23T03:46:36.000Z

2020-07-07T05:26:01.000Z

tutorials/W3D1_RealNeurons/solutions/W3D1_Tutorial3_Solution_a0b79725.py

Andy-Dufrein/course-content

977f4ddaaa4f33746672930ae01d5ea592dbbba0

[ "CC-BY-4.0" ]

16

2020-07-06T06:48:02.000Z

2021-07-30T08:18:52.000Z

""" Discussion: Because we have a facilitatory synapses, as the input rate increases synaptic resources released per spike also increase. Therefore, we expect that the synaptic conductance will increase with input rate. However, total synaptic resources are finite. And they recover in a finite time. Therefore, at high frequency inputs synaptic resources are rapidly deleted at a higher rate than their recovery, so after first few spikes, only a small number of synaptic resources are left. This results in decrease in the steady-state synaptic conductance at high frequency inputs. """;

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5e424c562fb15f5458ab49e2921617b64a604404

804

py

Python

nlpaug/model/audio/normalization.py

techthiyanes/nlpaug

bb2fc63349bf949f6f6047ff447a0efb16983c0a

[ "MIT" ]

3,121

2019-04-21T07:02:47.000Z

2022-03-31T22:17:36.000Z

nlpaug/model/audio/normalization.py

techthiyanes/nlpaug

bb2fc63349bf949f6f6047ff447a0efb16983c0a

[ "MIT" ]

186

2019-05-31T18:18:13.000Z

2022-03-28T10:11:05.000Z

nlpaug/model/audio/normalization.py

techthiyanes/nlpaug

bb2fc63349bf949f6f6047ff447a0efb16983c0a

[ "MIT" ]

371

2019-03-17T17:59:56.000Z

2022-03-31T01:45:15.000Z

import numpy as np from nlpaug.model.audio import Audio class Normalization(Audio): def manipulate(self, data, method, start_pos, end_pos): aug_data = data.copy() if method == 'minmax': new_data = self._min_max(aug_data[start_pos:end_pos]) elif method == 'max': new_data = self._max(aug_data[start_pos:end_pos]) elif method == 'standard': new_data = self._standard(aug_data[start_pos:end_pos]) aug_data[start_pos:end_pos] = new_data return aug_data def get_support_methods(self): return ['minmax', 'max', 'standard'] def _standard(self, data): return (data - np.mean(data)) / np.std(data) def _max(self, data): return data / np.amax(np.abs(data)) def _min_max(self, data): lower = np.amin(np.abs(data)) return (data - lower) / (np.amax(np.abs(data)) - lower)

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0

1

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1

0

2

5e4eb52ef7b6c379dfa8984ef60db75a5c9a0675

305

py

Python

test/test_torch.py

li012589/tf_gpu_manager

ed42d74f40cdc4b2463f3b7535cfe0f43bea85ae

[ "MIT" ]

1

2021-07-15T03:13:10.000Z

test/test_torch.py

li012589/tf_gpu_manager

ed42d74f40cdc4b2463f3b7535cfe0f43bea85ae

[ "MIT" ]

null

test/test_torch.py

li012589/tf_gpu_manager

ed42d74f40cdc4b2463f3b7535cfe0f43bea85ae

[ "MIT" ]

null

import os import sys sys.path.append(os.getcwd()) import torch from manager_torch import torchGPUmanager def test_tf_auto_choice(): t = torchGPUmanager() with t.choice(): x = torch.Tensor(8, 42) x = x.cuda() print(x) if __name__ == "__main__": test_tf_auto_choice()

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null

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5e628844bf5aecb08d12d6a5e607b840f94ea6a1

694

py

Python

derbot/names/signals.py

bdunnette/derbot

c860c3e95ee830a5b9202d8343ab64ece2e995e5

[ "MIT" ]

null

derbot/names/signals.py

bdunnette/derbot

c860c3e95ee830a5b9202d8343ab64ece2e995e5

[ "MIT" ]

2

2022-02-08T00:29:20.000Z

2022-02-08T14:01:07.000Z

derbot/names/signals.py

bdunnette/derbot

c860c3e95ee830a5b9202d8343ab64ece2e995e5

[ "MIT" ]

null

from django.db.models.signals import pre_save from django.dispatch import receiver import random import fractions import humanize # from derbot.names.tasks import generate_number from derbot.names.models import DerbyName @receiver(pre_save, sender=DerbyName) def generate_number(sender, instance, **kwargs): if instance.cleared and not instance.number: jersey_number = str(random.uniform(1, 9999))[ random.randint(0, 3) : random.randint(5, 7) ].strip(".") to_humanize = bool(random.getrandbits(1)) if to_humanize == True: jersey_number = humanize.fractional(jersey_number).replace("/", "⁄") instance.number = jersey_number

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2

5e6d782f97c85edb12dff2726544e15db5a78e2a

2,136

py

Python

src/types/program.py

embiem/chia-blockchain

301801993ca3d4cc5bf71952af29effae507b2ea

[ "Apache-2.0" ]

2

2019-12-06T01:03:24.000Z

2020-09-27T00:46:20.000Z

src/types/program.py

yllierop/chia-blockchain

301801993ca3d4cc5bf71952af29effae507b2ea

[ "Apache-2.0" ]

null

src/types/program.py

yllierop/chia-blockchain

301801993ca3d4cc5bf71952af29effae507b2ea

[ "Apache-2.0" ]

null

import io from typing import Any, List, Set from src.types.sized_bytes import bytes32 from src.util.clvm import run_program, sexp_from_stream, sexp_to_stream from clvm import SExp from src.util.hash import std_hash from clvm_tools.curry import curry class Program(SExp): # type: ignore # noqa """ A thin wrapper around s-expression data intended to be invoked with "eval". """ def __init__(self, v): if isinstance(v, SExp): v = v.v super(Program, self).__init__(v) @classmethod def parse(cls, f): return sexp_from_stream(f, cls.to) def stream(self, f): sexp_to_stream(self, f) @classmethod def from_bytes(cls, blob: bytes) -> Any: f = io.BytesIO(blob) return cls.parse(f) # type: ignore # noqa def __bytes__(self) -> bytes: f = io.BytesIO() self.stream(f) # type: ignore # noqa return f.getvalue() def __str__(self) -> str: return bytes(self).hex() def _tree_hash(self, precalculated: Set[bytes32]) -> bytes32: """ Hash values in `precalculated` are presumed to have been hashed already. """ if self.listp(): left = self.to(self.first())._tree_hash(precalculated) right = self.to(self.rest())._tree_hash(precalculated) s = b"\2" + left + right else: atom = self.as_atom() if atom in precalculated: return bytes32(atom) s = b"\1" + atom return bytes32(std_hash(s)) def get_tree_hash(self, *args: List[bytes32]) -> bytes32: """ Any values in `args` that appear in the tree are presumed to have been hashed already. """ return self._tree_hash(set(args)) def run(self, args) -> "Program": prog_args = Program.to(args) cost, r = run_program(self, prog_args) return Program.to(r) def curry(self, *args) -> "Program": cost, r = curry(self, list(args)) return Program.to(r) def __deepcopy__(self, memo): return type(self).from_bytes(bytes(self))

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null

0

null

0

1

0

1

0

2

5e7a6b6af87cb5adada613cffcf3ff5831de98c2

108

py

Python

array.py

nkukadiya89/learn-python

d0a8c438dd77b8feeb1e0126ec379873ef4b2978

[ "MIT" ]

1

2021-06-16T16:42:41.000Z

array.py

nkukadiya89/learn-python

d0a8c438dd77b8feeb1e0126ec379873ef4b2978

[ "MIT" ]

null

array.py

nkukadiya89/learn-python

d0a8c438dd77b8feeb1e0126ec379873ef4b2978

[ "MIT" ]

null

#Array In Python from array import array numbers = array("i",[1,2,3]) numbers[0] = 0 print(list(numbers))

13.5

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3.894737

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0

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1

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null

0

1

0

null

0

2

5e919f500bdb61fdacf742cd30485e1fec67466a

2,439

py

Python

src/python/grpcio/grpc/experimental/aio/__init__.py

nondejus/grpc

e5e8d7dc70f97b1e52612facb3f57990b2240005

[ "Apache-2.0" ]

3

2020-10-12T15:47:01.000Z

2022-01-14T19:51:26.000Z

src/python/grpcio/grpc/experimental/aio/__init__.py

nondejus/grpc

e5e8d7dc70f97b1e52612facb3f57990b2240005

[ "Apache-2.0" ]

11

2021-04-08T22:10:50.000Z

2022-03-12T00:52:35.000Z

src/python/grpcio/grpc/experimental/aio/__init__.py

nondejus/grpc

e5e8d7dc70f97b1e52612facb3f57990b2240005

[ "Apache-2.0" ]

2

2019-11-13T05:27:48.000Z

2020-01-21T06:35:19.000Z

# Copyright 2019 gRPC authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """gRPC's Asynchronous Python API.""" import abc import types import six import grpc from grpc._cython import cygrpc from grpc._cython.cygrpc import init_grpc_aio from ._server import server from ._channel import Channel from ._channel import UnaryUnaryMultiCallable def insecure_channel(target, options=None, compression=None): """Creates an insecure asynchronous Channel to a server. Args: target: The server address options: An optional list of key-value pairs (channel args in gRPC Core runtime) to configure the channel. compression: An optional value indicating the compression method to be used over the lifetime of the channel. This is an EXPERIMENTAL option. Returns: A Channel. """ from grpc.experimental.aio import _channel # pylint: disable=cyclic-import return _channel.Channel(target, () if options is None else options, None, compression) class _AioRpcError: """Private implementation of AioRpcError""" class AioRpcError: """An RpcError to be used by the asynchronous API. Parent classes: (cygrpc._AioRpcError, RpcError) """ # Dynamically registered as subclass of _AioRpcError and RpcError, because the former one is # only available after the cython code has been compiled. _class_built = _AioRpcError def __new__(cls, *args, **kwargs): if cls._class_built is _AioRpcError: cls._class_built = types.new_class( "AioRpcError", (cygrpc._AioRpcError, grpc.RpcError)) cls._class_built.__doc__ = cls.__doc__ return cls._class_built(*args, **kwargs) ################################### __all__ ################################# __all__ = ( 'init_grpc_aio', 'Channel', 'UnaryUnaryMultiCallable', 'insecure_channel', 'AioRpcError', )

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0

null

0

null

0

1

0

1

0

2

5e9585f59d070272ad95cdcbd7dd8d78e2818f13

765

py

Python

saph/users/views/auth.py

smallproblem/saph

eec9755ad26d5515f70604ebaa708583185649bb

[ "MIT" ]

null

saph/users/views/auth.py

smallproblem/saph

eec9755ad26d5515f70604ebaa708583185649bb

[ "MIT" ]

2

2020-09-28T03:09:06.000Z

2020-10-02T08:55:34.000Z

saph/users/views/auth.py

smallproblem/saph

eec9755ad26d5515f70604ebaa708583185649bb

[ "MIT" ]

null

from django.contrib.auth.models import User from django.contrib.auth.views import LoginView from django.contrib.auth.forms import AuthenticationForm from django.views.generic import CreateView from django.shortcuts import reverse, redirect from users.forms import JoinusForm class LoginView(LoginView): template_name = 'users/login.html' authentication_form = AuthenticationForm class SignupView(CreateView): form_class = JoinusForm template_name = 'users/joinus.html' def form_valid(self, form): username = form.cleaned_data['username'] password = form.cleaned_data['password'] User.objects.create_user( username=username, password=password ).save() return redirect('login')

29.423077

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0.7

0

null

0

null

0

1

0

1

0

2

5e9b711115f13a486c2ea830660e274a63129004

478

py

Python

src/bpmn_python/graph/classes/events/intermediate_catch_event_type.py

ToJestKrzysio/ProcessVisualization

9a359a31816bf1be65e3684a571509e3a2c2c0ac

[ "MIT" ]

null

src/bpmn_python/graph/classes/events/intermediate_catch_event_type.py

ToJestKrzysio/ProcessVisualization

9a359a31816bf1be65e3684a571509e3a2c2c0ac

[ "MIT" ]

null

src/bpmn_python/graph/classes/events/intermediate_catch_event_type.py

ToJestKrzysio/ProcessVisualization

9a359a31816bf1be65e3684a571509e3a2c2c0ac

[ "MIT" ]

null

# coding=utf-8 """ Class used for representing tIntermediateCatchEvent of BPMN 2.0 graph """ import graph.classes.events.catch_event_type as catch_event class IntermediateCatchEvent(catch_event.CatchEvent): """ Class used for representing tIntermediateCatchEvent of BPMN 2.0 graph """ def __init__(self): """ Default constructor, initializes object fields with new instances. """ super(IntermediateCatchEvent, self).__init__()

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74

0.715481

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478

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null

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null

0

1

0

1

0

2

5ea0d191ed54273a061ed7e8a50245385460de2f

224

py

Python

World_1/002Usingformat.py

wesleyendliche/Python_exercises

44cdcb921201eb0b11ff1ac4b01b4a86859c2ffe

[ "MIT" ]

null

World_1/002Usingformat.py

wesleyendliche/Python_exercises

44cdcb921201eb0b11ff1ac4b01b4a86859c2ffe

[ "MIT" ]

null

World_1/002Usingformat.py

wesleyendliche/Python_exercises

44cdcb921201eb0b11ff1ac4b01b4a86859c2ffe

[ "MIT" ]

null

nome = input('Digite seu nome: ') name = input('Type your name: ') print('É um prazer te conhecer, {}{}{}!'.format('\033[1;36m', nome, '\033[m')) print('It is nice to meet you, {}{}{}!'.format('\033[4;30m', name, '\033[m'))

44.8

78

0.584821

37

224

3.540541

0.702703

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0

0.092308

0.129464

224

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79

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0.5

0

null

0

1

0

null

0

1

0

2

5ead65667024bc75288d96cebf09e19da2212ee1

325

py

Python

pyatmos/class_atmos.py

lcx366/ATMOS

e079601ea4704d26defd7447ceed0b8be1f89e2f

[ "MIT" ]

11

2019-12-12T01:15:22.000Z

2022-03-11T02:38:10.000Z

pyatmos/class_atmos.py

lcx366/ATMOS

e079601ea4704d26defd7447ceed0b8be1f89e2f

[ "MIT" ]

2

2021-06-19T23:41:18.000Z

2022-03-24T22:59:11.000Z

pyatmos/class_atmos.py

lcx366/ATMOS

e079601ea4704d26defd7447ceed0b8be1f89e2f

[ "MIT" ]

null

class ATMOS(object): ''' class ATMOS - attributes: - self defined - methods: - None ''' def __init__(self,info): self.info = info for key in info.keys(): setattr(self, key, info[key]) def __repr__(self): return 'Instance of class ATMOS'

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null

0

null

0

1

0

1

0

2

5ec20deb24c94cf9ee316404a6b77dc4dd8b8ff6

842

py

Python

students/K33401/laboratory_works/Egorov_Michil/laboratory_work_2/room/models.py

EgorovM/ITMO_ICT_WebDevelopment_2021-2022

35c41ba024d7a3cd89654bd4db23f7d447e0f0a2

[ "MIT" ]

null

students/K33401/laboratory_works/Egorov_Michil/laboratory_work_2/room/models.py

EgorovM/ITMO_ICT_WebDevelopment_2021-2022

35c41ba024d7a3cd89654bd4db23f7d447e0f0a2

[ "MIT" ]

null

students/K33401/laboratory_works/Egorov_Michil/laboratory_work_2/room/models.py

EgorovM/ITMO_ICT_WebDevelopment_2021-2022

35c41ba024d7a3cd89654bd4db23f7d447e0f0a2

[ "MIT" ]

null

from django.db import models class Room(models.Model): SUBJECTS = ( ('math', 'Математика'), ('inf', 'Информатика'), ('othr', 'Другое') ) SUBJECTS_COLOR = ( ('math', '#28a745'), ('inf', '#007bff'), ('othr', '#6c757d') ) name = models.CharField(max_length=32) subject = models.CharField(max_length=4, choices=SUBJECTS) description = models.TextField() creator = models.CharField(max_length=162) max_people = models.IntegerField(default=5) audio_works = models.BooleanField(default=False) pub_date = models.DateTimeField(auto_now=True) def __str__(self): return self.name def subject_name(self): return dict(self.SUBJECTS)[self.subject] def subject_color(self): return dict(self.SUBJECTS_COLOR)[self.subject]

24.764706

62

0.627078

93

842

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0.101365

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842

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null

0

null

0

1

0

2

5ed383700e85d30633a0a565fb47e10ed17d6cee

975

py

Python

utils/keychain.py

remcoroyen/ShallotNetwork

d8f36533d613839f70b8eab30112d85229764af2

[ "MIT" ]

null

utils/keychain.py

remcoroyen/ShallotNetwork

d8f36533d613839f70b8eab30112d85229764af2

[ "MIT" ]

null

utils/keychain.py

remcoroyen/ShallotNetwork

d8f36533d613839f70b8eab30112d85229764af2

[ "MIT" ]

null

from Crypto.Util import number def random_prime(bit_size): return number.getPrime(bit_size) def random_int(bit_size): return number.getRandomInteger(bit_size) class KeyChain: def __init__(self): self.keys = [] self.keyids = [] def new_key(self, key, key_id): self.keys.append(key) self.keyids.append(key_id) def has_key(self, key_id): return key_id in self.keyids def get_key(self, key_id): if self.has_key(key_id): return self.keys[self.keyids.index(key_id)] else: return None def destroy_key(self, key_id): if self.has_key(key_id): index = self.keyids.index(key_id) self.keyids.pop(index) self.keys.pop(index) else: print('Key not found, none removed') def clear(self): for key_id in self.keyids: self.destroy_key(key_id)

23.780488

55

0.57641

132

975

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0.075047

0.067542

0.247655

0.108818

0

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975

40

56

24.375

0.8125

0

0.137931

0

0.027692

0

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0.275862

false

0

0.034483

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0.517241

0.034483

0

null

0

null

0

1

0

1

0

2

0d6071d50184dd01af4d40afcaa5d56fe50daa79

430

py

Python

scripts/A-A/ctsslmate.py

warsocket/recon

4e26086b2c0338db980a0a3e736c499acf51ef15

[ "Apache-2.0" ]

null

scripts/A-A/ctsslmate.py

warsocket/recon

4e26086b2c0338db980a0a3e736c499acf51ef15

[ "Apache-2.0" ]

null

scripts/A-A/ctsslmate.py

warsocket/recon

4e26086b2c0338db980a0a3e736c499acf51ef15

[ "Apache-2.0" ]

1

2018-02-23T13:37:59.000Z

#!/usr/bin/env python import requests import sys domains = set() for line in sys.stdin: domain = line.strip() certs = requests.get("https://certspotter.com/api/v0/certs?domain=%s" % domain).json() try: for cert in certs: for domain in cert["dns_names"]: domain = domain.replace("*.", "") domains.add(domain) except: pass for d in domains: print d

21.5

90

0.574419

56

430

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0

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430

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91

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0.805921

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null

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null

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null

0

null

0

1

0

1

0

2

0d6bbc4a1deb02ea0fe6dd3bf20550182a612637

71,145

py

Python

third_party/ray/core/generated/common_pb2.py

HuantWang/SUPERSONIC

bea7090e8bc4a54ed52495dd910ef946c88bec67

[ "CC-BY-4.0" ]

78

2022-02-02T00:23:02.000Z

2022-03-15T11:44:02.000Z

third_party/ray/core/generated/common_pb2.py

HuantWang/SUPERSONIC

bea7090e8bc4a54ed52495dd910ef946c88bec67

[ "CC-BY-4.0" ]

null

third_party/ray/core/generated/common_pb2.py

HuantWang/SUPERSONIC

bea7090e8bc4a54ed52495dd910ef946c88bec67

[ "CC-BY-4.0" ]

3

2022-01-30T05:10:14.000Z

2022-03-04T21:18:44.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: src/ray/protobuf/common.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='src/ray/protobuf/common.proto', package='ray.rpc', syntax='proto3', serialized_options=_b('\n\030io.ray.runtime.generated'), serialized_pb=_b('\n\x1dsrc/ray/protobuf/common.proto\x12\x07ray.rpc\"v\n\x07\x41\x64\x64ress\x12\x1b\n\traylet_id\x18\x01 \x01(\x0cR\x08rayletId\x12\x1d\n\nip_address\x18\x02 \x01(\tR\tipAddress\x12\x12\n\x04port\x18\x03 \x01(\x05R\x04port\x12\x1b\n\tworker_id\x18\x04 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file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='PYTHON', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='JAVA', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='CPP', index=2, number=2, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=4697, serialized_end=4738, ) _sym_db.RegisterEnumDescriptor(_LANGUAGE) Language = enum_type_wrapper.EnumTypeWrapper(_LANGUAGE) _WORKERTYPE = _descriptor.EnumDescriptor( name='WorkerType', full_name='ray.rpc.WorkerType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='WORKER', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='DRIVER', index=1, number=1, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=4740, serialized_end=4776, ) _sym_db.RegisterEnumDescriptor(_WORKERTYPE) WorkerType = enum_type_wrapper.EnumTypeWrapper(_WORKERTYPE) _TASKTYPE = _descriptor.EnumDescriptor( name='TaskType', full_name='ray.rpc.TaskType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='NORMAL_TASK', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='ACTOR_CREATION_TASK', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='ACTOR_TASK', index=2, number=2, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='DRIVER_TASK', index=3, number=3, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=4778, serialized_end=4863, ) _sym_db.RegisterEnumDescriptor(_TASKTYPE) TaskType = enum_type_wrapper.EnumTypeWrapper(_TASKTYPE) PYTHON = 0 JAVA = 1 CPP = 2 WORKER = 0 DRIVER = 1 NORMAL_TASK = 0 ACTOR_CREATION_TASK = 1 ACTOR_TASK = 2 DRIVER_TASK = 3 _ADDRESS = _descriptor.Descriptor( name='Address', full_name='ray.rpc.Address', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='raylet_id', full_name='ray.rpc.Address.raylet_id', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='rayletId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ip_address', full_name='ray.rpc.Address.ip_address', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='ipAddress', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='port', full_name='ray.rpc.Address.port', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='port', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='worker_id', full_name='ray.rpc.Address.worker_id', index=3, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='workerId', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=42, serialized_end=160, ) _JAVAFUNCTIONDESCRIPTOR = _descriptor.Descriptor( name='JavaFunctionDescriptor', full_name='ray.rpc.JavaFunctionDescriptor', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='class_name', full_name='ray.rpc.JavaFunctionDescriptor.class_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='className', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_name', full_name='ray.rpc.JavaFunctionDescriptor.function_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='functionName', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='signature', full_name='ray.rpc.JavaFunctionDescriptor.signature', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='signature', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=162, serialized_end=284, ) _PYTHONFUNCTIONDESCRIPTOR = _descriptor.Descriptor( name='PythonFunctionDescriptor', full_name='ray.rpc.PythonFunctionDescriptor', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='module_name', full_name='ray.rpc.PythonFunctionDescriptor.module_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='moduleName', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='class_name', full_name='ray.rpc.PythonFunctionDescriptor.class_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='className', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_name', full_name='ray.rpc.PythonFunctionDescriptor.function_name', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='functionName', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_hash', full_name='ray.rpc.PythonFunctionDescriptor.function_hash', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='functionHash', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=287, serialized_end=451, ) _CPPFUNCTIONDESCRIPTOR = _descriptor.Descriptor( name='CppFunctionDescriptor', full_name='ray.rpc.CppFunctionDescriptor', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='lib_name', full_name='ray.rpc.CppFunctionDescriptor.lib_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='libName', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_offset', full_name='ray.rpc.CppFunctionDescriptor.function_offset', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='functionOffset', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='exec_function_offset', full_name='ray.rpc.CppFunctionDescriptor.exec_function_offset', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='execFunctionOffset', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=454, serialized_end=595, ) _FUNCTIONDESCRIPTOR = _descriptor.Descriptor( name='FunctionDescriptor', full_name='ray.rpc.FunctionDescriptor', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='java_function_descriptor', full_name='ray.rpc.FunctionDescriptor.java_function_descriptor', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='javaFunctionDescriptor', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='python_function_descriptor', full_name='ray.rpc.FunctionDescriptor.python_function_descriptor', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='pythonFunctionDescriptor', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='cpp_function_descriptor', full_name='ray.rpc.FunctionDescriptor.cpp_function_descriptor', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='cppFunctionDescriptor', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='function_descriptor', full_name='ray.rpc.FunctionDescriptor.function_descriptor', index=0, containing_type=None, fields=[]), ], serialized_start=598, serialized_end=923, ) _TASKSPEC_REQUIREDRESOURCESENTRY = _descriptor.Descriptor( name='RequiredResourcesEntry', full_name='ray.rpc.TaskSpec.RequiredResourcesEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='ray.rpc.TaskSpec.RequiredResourcesEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='key', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='ray.rpc.TaskSpec.RequiredResourcesEntry.value', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='value', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1776, serialized_end=1844, ) _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY = _descriptor.Descriptor( name='RequiredPlacementResourcesEntry', full_name='ray.rpc.TaskSpec.RequiredPlacementResourcesEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='ray.rpc.TaskSpec.RequiredPlacementResourcesEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='key', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='ray.rpc.TaskSpec.RequiredPlacementResourcesEntry.value', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='value', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1846, serialized_end=1923, ) _TASKSPEC = _descriptor.Descriptor( name='TaskSpec', full_name='ray.rpc.TaskSpec', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='type', full_name='ray.rpc.TaskSpec.type', index=0, number=1, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='type', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='language', full_name='ray.rpc.TaskSpec.language', index=1, number=2, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='language', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='function_descriptor', full_name='ray.rpc.TaskSpec.function_descriptor', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='functionDescriptor', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='job_id', full_name='ray.rpc.TaskSpec.job_id', index=3, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='jobId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='task_id', full_name='ray.rpc.TaskSpec.task_id', index=4, number=5, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='taskId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='parent_task_id', full_name='ray.rpc.TaskSpec.parent_task_id', index=5, number=6, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='parentTaskId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='parent_counter', full_name='ray.rpc.TaskSpec.parent_counter', index=6, number=7, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='parentCounter', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='caller_id', full_name='ray.rpc.TaskSpec.caller_id', index=7, number=8, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='callerId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='caller_address', full_name='ray.rpc.TaskSpec.caller_address', index=8, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='callerAddress', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='args', full_name='ray.rpc.TaskSpec.args', index=9, number=10, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='args', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_returns', full_name='ray.rpc.TaskSpec.num_returns', index=10, number=11, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numReturns', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='required_resources', full_name='ray.rpc.TaskSpec.required_resources', index=11, number=12, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='requiredResources', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='required_placement_resources', full_name='ray.rpc.TaskSpec.required_placement_resources', index=12, number=13, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='requiredPlacementResources', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_creation_task_spec', full_name='ray.rpc.TaskSpec.actor_creation_task_spec', index=13, number=14, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorCreationTaskSpec', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_task_spec', full_name='ray.rpc.TaskSpec.actor_task_spec', index=14, number=15, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorTaskSpec', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='max_retries', full_name='ray.rpc.TaskSpec.max_retries', index=15, number=16, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='maxRetries', file=DESCRIPTOR), ], extensions=[ ], nested_types=[_TASKSPEC_REQUIREDRESOURCESENTRY, _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=926, serialized_end=1923, ) _TASKARG = _descriptor.Descriptor( name='TaskArg', full_name='ray.rpc.TaskArg', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='object_ids', full_name='ray.rpc.TaskArg.object_ids', index=0, number=1, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='objectIds', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='data', full_name='ray.rpc.TaskArg.data', index=1, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='data', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='metadata', full_name='ray.rpc.TaskArg.metadata', index=2, number=3, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='metadata', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='nested_inlined_ids', full_name='ray.rpc.TaskArg.nested_inlined_ids', index=3, number=4, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='nestedInlinedIds', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1926, serialized_end=2060, ) _ACTORCREATIONTASKSPEC = _descriptor.Descriptor( name='ActorCreationTaskSpec', full_name='ray.rpc.ActorCreationTaskSpec', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='actor_id', full_name='ray.rpc.ActorCreationTaskSpec.actor_id', index=0, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='max_actor_restarts', full_name='ray.rpc.ActorCreationTaskSpec.max_actor_restarts', index=1, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='maxActorRestarts', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dynamic_worker_options', full_name='ray.rpc.ActorCreationTaskSpec.dynamic_worker_options', index=2, number=4, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='dynamicWorkerOptions', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='max_concurrency', full_name='ray.rpc.ActorCreationTaskSpec.max_concurrency', index=3, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='maxConcurrency', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_detached', full_name='ray.rpc.ActorCreationTaskSpec.is_detached', index=4, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='isDetached', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='name', full_name='ray.rpc.ActorCreationTaskSpec.name', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='name', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='is_asyncio', full_name='ray.rpc.ActorCreationTaskSpec.is_asyncio', index=6, number=8, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='isAsyncio', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='extension_data', full_name='ray.rpc.ActorCreationTaskSpec.extension_data', index=7, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='extensionData', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2063, serialized_end=2377, ) _ACTORTASKSPEC = _descriptor.Descriptor( name='ActorTaskSpec', full_name='ray.rpc.ActorTaskSpec', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='actor_id', full_name='ray.rpc.ActorTaskSpec.actor_id', index=0, number=2, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_creation_dummy_object_id', full_name='ray.rpc.ActorTaskSpec.actor_creation_dummy_object_id', index=1, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorCreationDummyObjectId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_counter', full_name='ray.rpc.ActorTaskSpec.actor_counter', index=2, number=5, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorCounter', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='previous_actor_task_dummy_object_id', full_name='ray.rpc.ActorTaskSpec.previous_actor_task_dummy_object_id', index=3, number=7, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='previousActorTaskDummyObjectId', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2380, serialized_end=2604, ) _TASKEXECUTIONSPEC = _descriptor.Descriptor( name='TaskExecutionSpec', full_name='ray.rpc.TaskExecutionSpec', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='last_timestamp', full_name='ray.rpc.TaskExecutionSpec.last_timestamp', index=0, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='lastTimestamp', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_forwards', full_name='ray.rpc.TaskExecutionSpec.num_forwards', index=1, number=3, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numForwards', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2606, serialized_end=2699, ) _TASK = _descriptor.Descriptor( name='Task', full_name='ray.rpc.Task', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='task_spec', full_name='ray.rpc.Task.task_spec', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='taskSpec', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='task_execution_spec', full_name='ray.rpc.Task.task_execution_spec', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='taskExecutionSpec', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2702, serialized_end=2832, ) _RESOURCEID = _descriptor.Descriptor( name='ResourceId', full_name='ray.rpc.ResourceId', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='index', full_name='ray.rpc.ResourceId.index', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='index', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='quantity', full_name='ray.rpc.ResourceId.quantity', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='quantity', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2834, serialized_end=2896, ) _RESOURCEMAPENTRY = _descriptor.Descriptor( name='ResourceMapEntry', full_name='ray.rpc.ResourceMapEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='ray.rpc.ResourceMapEntry.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='name', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='resource_ids', full_name='ray.rpc.ResourceMapEntry.resource_ids', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='resourceIds', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2898, serialized_end=2992, ) _VIEWDATA_MEASURE = _descriptor.Descriptor( name='Measure', full_name='ray.rpc.ViewData.Measure', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='tags', full_name='ray.rpc.ViewData.Measure.tags', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='tags', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='int_value', full_name='ray.rpc.ViewData.Measure.int_value', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='intValue', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='double_value', full_name='ray.rpc.ViewData.Measure.double_value', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='doubleValue', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_min', full_name='ray.rpc.ViewData.Measure.distribution_min', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionMin', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_mean', full_name='ray.rpc.ViewData.Measure.distribution_mean', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionMean', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_max', full_name='ray.rpc.ViewData.Measure.distribution_max', index=5, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionMax', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_count', full_name='ray.rpc.ViewData.Measure.distribution_count', index=6, number=7, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionCount', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_bucket_boundaries', full_name='ray.rpc.ViewData.Measure.distribution_bucket_boundaries', index=7, number=8, type=1, cpp_type=5, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionBucketBoundaries', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='distribution_bucket_counts', full_name='ray.rpc.ViewData.Measure.distribution_bucket_counts', index=8, number=9, type=1, cpp_type=5, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='distributionBucketCounts', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=3092, serialized_end=3495, ) _VIEWDATA = _descriptor.Descriptor( name='ViewData', full_name='ray.rpc.ViewData', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='view_name', full_name='ray.rpc.ViewData.view_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='viewName', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='measures', full_name='ray.rpc.ViewData.measures', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='measures', file=DESCRIPTOR), ], extensions=[ ], nested_types=[_VIEWDATA_MEASURE, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=2995, serialized_end=3495, ) _OBJECTREFINFO = _descriptor.Descriptor( name='ObjectRefInfo', full_name='ray.rpc.ObjectRefInfo', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='object_id', full_name='ray.rpc.ObjectRefInfo.object_id', index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='objectId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='call_site', full_name='ray.rpc.ObjectRefInfo.call_site', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='callSite', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='object_size', full_name='ray.rpc.ObjectRefInfo.object_size', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='objectSize', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='local_ref_count', full_name='ray.rpc.ObjectRefInfo.local_ref_count', index=3, number=4, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='localRefCount', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='submitted_task_ref_count', full_name='ray.rpc.ObjectRefInfo.submitted_task_ref_count', index=4, number=5, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='submittedTaskRefCount', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='contained_in_owned', full_name='ray.rpc.ObjectRefInfo.contained_in_owned', index=5, number=6, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='containedInOwned', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='pinned_in_memory', full_name='ray.rpc.ObjectRefInfo.pinned_in_memory', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='pinnedInMemory', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=3498, serialized_end=3789, ) _COREWORKERSTATS_USEDRESOURCESENTRY = _descriptor.Descriptor( name='UsedResourcesEntry', full_name='ray.rpc.CoreWorkerStats.UsedResourcesEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='ray.rpc.CoreWorkerStats.UsedResourcesEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='key', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='ray.rpc.CoreWorkerStats.UsedResourcesEntry.value', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='value', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=4566, serialized_end=4630, ) _COREWORKERSTATS_WEBUIDISPLAYENTRY = _descriptor.Descriptor( name='WebuiDisplayEntry', full_name='ray.rpc.CoreWorkerStats.WebuiDisplayEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='ray.rpc.CoreWorkerStats.WebuiDisplayEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='key', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='ray.rpc.CoreWorkerStats.WebuiDisplayEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='value', file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=4632, serialized_end=4695, ) _COREWORKERSTATS = _descriptor.Descriptor( name='CoreWorkerStats', full_name='ray.rpc.CoreWorkerStats', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='current_task_desc', full_name='ray.rpc.CoreWorkerStats.current_task_desc', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='currentTaskDesc', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_pending_tasks', full_name='ray.rpc.CoreWorkerStats.num_pending_tasks', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numPendingTasks', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_object_ids_in_scope', full_name='ray.rpc.CoreWorkerStats.num_object_ids_in_scope', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numObjectIdsInScope', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='current_task_func_desc', full_name='ray.rpc.CoreWorkerStats.current_task_func_desc', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='currentTaskFuncDesc', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ip_address', full_name='ray.rpc.CoreWorkerStats.ip_address', index=4, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='ipAddress', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='port', full_name='ray.rpc.CoreWorkerStats.port', index=5, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='port', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_id', full_name='ray.rpc.CoreWorkerStats.actor_id', index=6, number=8, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorId', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='used_resources', full_name='ray.rpc.CoreWorkerStats.used_resources', index=7, number=9, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='usedResources', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='webui_display', full_name='ray.rpc.CoreWorkerStats.webui_display', index=8, number=10, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='webuiDisplay', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_in_plasma', full_name='ray.rpc.CoreWorkerStats.num_in_plasma', index=9, number=11, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numInPlasma', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_local_objects', full_name='ray.rpc.CoreWorkerStats.num_local_objects', index=10, number=12, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numLocalObjects', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='used_object_store_memory', full_name='ray.rpc.CoreWorkerStats.used_object_store_memory', index=11, number=13, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='usedObjectStoreMemory', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='task_queue_length', full_name='ray.rpc.CoreWorkerStats.task_queue_length', index=12, number=14, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='taskQueueLength', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='num_executed_tasks', full_name='ray.rpc.CoreWorkerStats.num_executed_tasks', index=13, number=15, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='numExecutedTasks', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='actor_title', full_name='ray.rpc.CoreWorkerStats.actor_title', index=14, number=16, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='actorTitle', file=DESCRIPTOR), _descriptor.FieldDescriptor( name='object_refs', full_name='ray.rpc.CoreWorkerStats.object_refs', index=15, number=17, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, json_name='objectRefs', file=DESCRIPTOR), ], extensions=[ ], nested_types=[_COREWORKERSTATS_USEDRESOURCESENTRY, _COREWORKERSTATS_WEBUIDISPLAYENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=3792, serialized_end=4695, ) _FUNCTIONDESCRIPTOR.fields_by_name['java_function_descriptor'].message_type = _JAVAFUNCTIONDESCRIPTOR _FUNCTIONDESCRIPTOR.fields_by_name['python_function_descriptor'].message_type = _PYTHONFUNCTIONDESCRIPTOR _FUNCTIONDESCRIPTOR.fields_by_name['cpp_function_descriptor'].message_type = _CPPFUNCTIONDESCRIPTOR _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'].fields.append( _FUNCTIONDESCRIPTOR.fields_by_name['java_function_descriptor']) _FUNCTIONDESCRIPTOR.fields_by_name['java_function_descriptor'].containing_oneof = _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'] _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'].fields.append( _FUNCTIONDESCRIPTOR.fields_by_name['python_function_descriptor']) _FUNCTIONDESCRIPTOR.fields_by_name['python_function_descriptor'].containing_oneof = _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'] _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'].fields.append( _FUNCTIONDESCRIPTOR.fields_by_name['cpp_function_descriptor']) _FUNCTIONDESCRIPTOR.fields_by_name['cpp_function_descriptor'].containing_oneof = _FUNCTIONDESCRIPTOR.oneofs_by_name['function_descriptor'] _TASKSPEC_REQUIREDRESOURCESENTRY.containing_type = _TASKSPEC _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY.containing_type = _TASKSPEC _TASKSPEC.fields_by_name['type'].enum_type = _TASKTYPE _TASKSPEC.fields_by_name['language'].enum_type = _LANGUAGE _TASKSPEC.fields_by_name['function_descriptor'].message_type = _FUNCTIONDESCRIPTOR _TASKSPEC.fields_by_name['caller_address'].message_type = _ADDRESS _TASKSPEC.fields_by_name['args'].message_type = _TASKARG _TASKSPEC.fields_by_name['required_resources'].message_type = _TASKSPEC_REQUIREDRESOURCESENTRY _TASKSPEC.fields_by_name['required_placement_resources'].message_type = _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY _TASKSPEC.fields_by_name['actor_creation_task_spec'].message_type = _ACTORCREATIONTASKSPEC _TASKSPEC.fields_by_name['actor_task_spec'].message_type = _ACTORTASKSPEC _TASK.fields_by_name['task_spec'].message_type = _TASKSPEC _TASK.fields_by_name['task_execution_spec'].message_type = _TASKEXECUTIONSPEC _RESOURCEMAPENTRY.fields_by_name['resource_ids'].message_type = _RESOURCEID _VIEWDATA_MEASURE.containing_type = _VIEWDATA _VIEWDATA.fields_by_name['measures'].message_type = _VIEWDATA_MEASURE _COREWORKERSTATS_USEDRESOURCESENTRY.containing_type = _COREWORKERSTATS _COREWORKERSTATS_WEBUIDISPLAYENTRY.containing_type = _COREWORKERSTATS _COREWORKERSTATS.fields_by_name['used_resources'].message_type = _COREWORKERSTATS_USEDRESOURCESENTRY _COREWORKERSTATS.fields_by_name['webui_display'].message_type = _COREWORKERSTATS_WEBUIDISPLAYENTRY _COREWORKERSTATS.fields_by_name['object_refs'].message_type = _OBJECTREFINFO DESCRIPTOR.message_types_by_name['Address'] = _ADDRESS DESCRIPTOR.message_types_by_name['JavaFunctionDescriptor'] = _JAVAFUNCTIONDESCRIPTOR DESCRIPTOR.message_types_by_name['PythonFunctionDescriptor'] = _PYTHONFUNCTIONDESCRIPTOR DESCRIPTOR.message_types_by_name['CppFunctionDescriptor'] = _CPPFUNCTIONDESCRIPTOR DESCRIPTOR.message_types_by_name['FunctionDescriptor'] = _FUNCTIONDESCRIPTOR DESCRIPTOR.message_types_by_name['TaskSpec'] = _TASKSPEC DESCRIPTOR.message_types_by_name['TaskArg'] = _TASKARG DESCRIPTOR.message_types_by_name['ActorCreationTaskSpec'] = _ACTORCREATIONTASKSPEC DESCRIPTOR.message_types_by_name['ActorTaskSpec'] = _ACTORTASKSPEC DESCRIPTOR.message_types_by_name['TaskExecutionSpec'] = _TASKEXECUTIONSPEC DESCRIPTOR.message_types_by_name['Task'] = _TASK DESCRIPTOR.message_types_by_name['ResourceId'] = _RESOURCEID DESCRIPTOR.message_types_by_name['ResourceMapEntry'] = _RESOURCEMAPENTRY DESCRIPTOR.message_types_by_name['ViewData'] = _VIEWDATA DESCRIPTOR.message_types_by_name['ObjectRefInfo'] = _OBJECTREFINFO DESCRIPTOR.message_types_by_name['CoreWorkerStats'] = _COREWORKERSTATS DESCRIPTOR.enum_types_by_name['Language'] = _LANGUAGE DESCRIPTOR.enum_types_by_name['WorkerType'] = _WORKERTYPE DESCRIPTOR.enum_types_by_name['TaskType'] = _TASKTYPE _sym_db.RegisterFileDescriptor(DESCRIPTOR) Address = _reflection.GeneratedProtocolMessageType('Address', (_message.Message,), { 'DESCRIPTOR' : _ADDRESS, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.Address) }) _sym_db.RegisterMessage(Address) JavaFunctionDescriptor = _reflection.GeneratedProtocolMessageType('JavaFunctionDescriptor', (_message.Message,), { 'DESCRIPTOR' : _JAVAFUNCTIONDESCRIPTOR, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.JavaFunctionDescriptor) }) _sym_db.RegisterMessage(JavaFunctionDescriptor) PythonFunctionDescriptor = _reflection.GeneratedProtocolMessageType('PythonFunctionDescriptor', (_message.Message,), { 'DESCRIPTOR' : _PYTHONFUNCTIONDESCRIPTOR, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.PythonFunctionDescriptor) }) _sym_db.RegisterMessage(PythonFunctionDescriptor) CppFunctionDescriptor = _reflection.GeneratedProtocolMessageType('CppFunctionDescriptor', (_message.Message,), { 'DESCRIPTOR' : _CPPFUNCTIONDESCRIPTOR, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.CppFunctionDescriptor) }) _sym_db.RegisterMessage(CppFunctionDescriptor) FunctionDescriptor = _reflection.GeneratedProtocolMessageType('FunctionDescriptor', (_message.Message,), { 'DESCRIPTOR' : _FUNCTIONDESCRIPTOR, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.FunctionDescriptor) }) _sym_db.RegisterMessage(FunctionDescriptor) TaskSpec = _reflection.GeneratedProtocolMessageType('TaskSpec', (_message.Message,), { 'RequiredResourcesEntry' : _reflection.GeneratedProtocolMessageType('RequiredResourcesEntry', (_message.Message,), { 'DESCRIPTOR' : _TASKSPEC_REQUIREDRESOURCESENTRY, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.TaskSpec.RequiredResourcesEntry) }) , 'RequiredPlacementResourcesEntry' : _reflection.GeneratedProtocolMessageType('RequiredPlacementResourcesEntry', (_message.Message,), { 'DESCRIPTOR' : _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.TaskSpec.RequiredPlacementResourcesEntry) }) , 'DESCRIPTOR' : _TASKSPEC, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.TaskSpec) }) _sym_db.RegisterMessage(TaskSpec) _sym_db.RegisterMessage(TaskSpec.RequiredResourcesEntry) _sym_db.RegisterMessage(TaskSpec.RequiredPlacementResourcesEntry) TaskArg = _reflection.GeneratedProtocolMessageType('TaskArg', (_message.Message,), { 'DESCRIPTOR' : _TASKARG, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.TaskArg) }) _sym_db.RegisterMessage(TaskArg) ActorCreationTaskSpec = _reflection.GeneratedProtocolMessageType('ActorCreationTaskSpec', (_message.Message,), { 'DESCRIPTOR' : _ACTORCREATIONTASKSPEC, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ActorCreationTaskSpec) }) _sym_db.RegisterMessage(ActorCreationTaskSpec) ActorTaskSpec = _reflection.GeneratedProtocolMessageType('ActorTaskSpec', (_message.Message,), { 'DESCRIPTOR' : _ACTORTASKSPEC, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ActorTaskSpec) }) _sym_db.RegisterMessage(ActorTaskSpec) TaskExecutionSpec = _reflection.GeneratedProtocolMessageType('TaskExecutionSpec', (_message.Message,), { 'DESCRIPTOR' : _TASKEXECUTIONSPEC, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.TaskExecutionSpec) }) _sym_db.RegisterMessage(TaskExecutionSpec) Task = _reflection.GeneratedProtocolMessageType('Task', (_message.Message,), { 'DESCRIPTOR' : _TASK, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.Task) }) _sym_db.RegisterMessage(Task) ResourceId = _reflection.GeneratedProtocolMessageType('ResourceId', (_message.Message,), { 'DESCRIPTOR' : _RESOURCEID, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ResourceId) }) _sym_db.RegisterMessage(ResourceId) ResourceMapEntry = _reflection.GeneratedProtocolMessageType('ResourceMapEntry', (_message.Message,), { 'DESCRIPTOR' : _RESOURCEMAPENTRY, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ResourceMapEntry) }) _sym_db.RegisterMessage(ResourceMapEntry) ViewData = _reflection.GeneratedProtocolMessageType('ViewData', (_message.Message,), { 'Measure' : _reflection.GeneratedProtocolMessageType('Measure', (_message.Message,), { 'DESCRIPTOR' : _VIEWDATA_MEASURE, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ViewData.Measure) }) , 'DESCRIPTOR' : _VIEWDATA, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ViewData) }) _sym_db.RegisterMessage(ViewData) _sym_db.RegisterMessage(ViewData.Measure) ObjectRefInfo = _reflection.GeneratedProtocolMessageType('ObjectRefInfo', (_message.Message,), { 'DESCRIPTOR' : _OBJECTREFINFO, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.ObjectRefInfo) }) _sym_db.RegisterMessage(ObjectRefInfo) CoreWorkerStats = _reflection.GeneratedProtocolMessageType('CoreWorkerStats', (_message.Message,), { 'UsedResourcesEntry' : _reflection.GeneratedProtocolMessageType('UsedResourcesEntry', (_message.Message,), { 'DESCRIPTOR' : _COREWORKERSTATS_USEDRESOURCESENTRY, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.CoreWorkerStats.UsedResourcesEntry) }) , 'WebuiDisplayEntry' : _reflection.GeneratedProtocolMessageType('WebuiDisplayEntry', (_message.Message,), { 'DESCRIPTOR' : _COREWORKERSTATS_WEBUIDISPLAYENTRY, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.CoreWorkerStats.WebuiDisplayEntry) }) , 'DESCRIPTOR' : _COREWORKERSTATS, '__module__' : 'src.ray.protobuf.common_pb2' # @@protoc_insertion_point(class_scope:ray.rpc.CoreWorkerStats) }) _sym_db.RegisterMessage(CoreWorkerStats) _sym_db.RegisterMessage(CoreWorkerStats.UsedResourcesEntry) _sym_db.RegisterMessage(CoreWorkerStats.WebuiDisplayEntry) DESCRIPTOR._options = None _TASKSPEC_REQUIREDRESOURCESENTRY._options = None _TASKSPEC_REQUIREDPLACEMENTRESOURCESENTRY._options = None _COREWORKERSTATS_USEDRESOURCESENTRY._options = None _COREWORKERSTATS_WEBUIDISPLAYENTRY._options = None # @@protoc_insertion_point(module_scope)

46.591356

7,878

0.753813

8,964

71,145

5.692883

0.06805

0.05189

0.052674

0.034019

0.694205

0.61447

0.54949

0.52135

0.506143

0.501852

0

0.041151

0.119095

71,145

1,526

7,879

46.621887

0.773104

0.021843

0

0.628852

1

0.002801

0.225188

0.171195

0

1

0

false

0

0.004202

0

0.004202

0

null

0

1

0

1

0

null

0

2

0d966087cea0a7295db776cecd1d057649f3d673

829

py

Python

src/PyMIPS/tests/memory_test.py

shenganzhang/Py-MI-PS

2d22327c75bac1b58a4804a61e7a703ecc5ba978

[ "MIT" ]

3

2019-05-14T21:24:59.000Z

2021-08-04T01:43:22.000Z

src/PyMIPS/tests/memory_test.py

shenganzhang/Py-MI-PS

2d22327c75bac1b58a4804a61e7a703ecc5ba978

[ "MIT" ]

null

src/PyMIPS/tests/memory_test.py

shenganzhang/Py-MI-PS

2d22327c75bac1b58a4804a61e7a703ecc5ba978

[ "MIT" ]

2

2021-08-04T01:43:25.000Z

2021-11-23T06:54:17.000Z

try: from src.PyMIPS.Datastructure.memory import Memory except: from PyMIPS.Datastructure.memory import Memory import unittest class TestMemory(unittest.TestCase): def test_storage(self): Memory.store_word(16, 2214) Memory.store_word(17, 2014) self.assertEqual(Memory.get_word(2214), 16) self.assertEqual(Memory.get_word(2014), 17) def test_bad_access(self): Memory.store_word(16, 2000) Memory.get_word(2004) Memory.get_word(2001) Memory.get_word(2002) Memory.get_word(2003) def test_overwrite(self): Memory.store_word(16, 2000) self.assertEqual(Memory.get_word(2000), 16) Memory.store_word(20, 2001) self.assertEqual(Memory.get_word(2001), 20) self.assertEqual(Memory.get_word(2000), 0)

25.121212

54

0.671894

110

829

4.9

0.309091

0.150278

0.217069

0.222635

0.543599

0.211503

0

0.11646

0.22316

829

32

55

25.90625

0.720497

0

0.086957

0

0.217391

1

0.130435

false

0

0.130435

0

0.304348

0

null

0

1

0

null

0

2

0dac47ce9c74512652d2d18d61755c2ace5c01fc

819

py

Python

banner4.py

KingNasirul/BHBVirus

219c28ace488e9e47d94f82911c86a1d5974f941

[ "Unlicense" ]

null

banner4.py

KingNasirul/BHBVirus

219c28ace488e9e47d94f82911c86a1d5974f941

[ "Unlicense" ]

null

banner4.py

KingNasirul/BHBVirus

219c28ace488e9e47d94f82911c86a1d5974f941

[ "Unlicense" ]

null

import time import sys # Set color R = '\033[31m' # Red N = '\033[1;37m' # White G = '\033[32m' # Green O = '\033[0;33m' # Orange B = '\033[1;34m' #Blue def delay_print(s): for c in s: sys.stdout.write(c) sys.stdout.flush() time.sleep(0.01) delay_print delay_print (""+R+" db db d888888b d8888b. db db .d8888. \n") delay_print (""+R+" 88 88 `88' 88 `8D 88 88 88' YP \n") delay_print (""+R+" Y8 8P 88 88oobY' 88 88 `8bo. \n") delay_print (""+R+" `8b d8' 88 88`8b 88 88 `Y8b. \n") delay_print (""+R+" `8bd8' .88. 88 `88. 88b d88 db 8D \n") delay_print (""+R+" YP Y888888P 88 YD ~Y8888P' `8888Y' "+G+"kingNasirul\n") print

32.76

82

0.467643

122

819

3.07377

0.467213

0.106667

0.176

0.16

0

0.217054

0.369963

819

24

83

34.125

0.50969

0.043956

0

0.428387

0

1

0.05

false

0

0.1

0

0.15

0.45

0

null

0

1

0

null

0

1

0

2

0dae67493e4ce5dba398f2d0ee4a34110cbc91fc

1,463

py

Python

aioneo4j4/client.py

zhangmoon/aioneo4j4

94b4544d2764eba5eea740959f194e289a581fd2

[ "MIT" ]

null

aioneo4j4/client.py

zhangmoon/aioneo4j4

94b4544d2764eba5eea740959f194e289a581fd2

[ "MIT" ]

null

aioneo4j4/client.py

zhangmoon/aioneo4j4

94b4544d2764eba5eea740959f194e289a581fd2

[ "MIT" ]

null

import asyncio import collections from yarl import URL from .transport import Transport class Client: def __init__( self, url='http://127.0.0.1:7474/', auth=None, transport=Transport, request_timeout=..., *, loop=None ): if loop is None: loop = asyncio.get_event_loop() self.loop = loop url = URL(url) if url.user and url.password: auth = url.user, url.password url = url.with_user(None) # TODO: not sure is it needed url = url.with_password(None) self.transport = transport( url=url, auth=auth, request_timeout=request_timeout, loop=self.loop, ) async def begin_and_commit( self, cypher, db='neo4j', path='db/%s/tx/commit', request_timeout=..., ): _, data = await self.transport.perform_request( method='POST', path=path % db, data={ "statements": [{ "statement": cypher, }] }, request_timeout=request_timeout, ) return data async def close(self): await self.transport.close() async def __aenter__(self): # noqa return self async def __aexit__(self, *exc_info): # noqa await self.close()

20.041096

55

0.500342

150

1,463

4.7

0.386667

0.119149

0.051064

0.079433

0

0.012586

0.402597

1,463

72

56

20.319444

0.79405

0.025291

0

0.156863

0

0.04571

0

0.013889

0

1

0.019608

false

0.058824

0.078431

0

0.156863

0

null

0

null

0

1

0

1

0

2

0db65eebf31a3d9c1ea003346b7e0a6a218692e0

527

py

Python

DailyAssingments/Week1/Day2Assignments2.py

smooth-dasilva/Smoothstack-Workload

165ac6df72c7765a594fa472131def1ab2e44c78

[ "MIT" ]

null

DailyAssingments/Week1/Day2Assignments2.py

smooth-dasilva/Smoothstack-Workload

165ac6df72c7765a594fa472131def1ab2e44c78

[ "MIT" ]

null

DailyAssingments/Week1/Day2Assignments2.py

smooth-dasilva/Smoothstack-Workload

165ac6df72c7765a594fa472131def1ab2e44c78

[ "MIT" ]

null

#doc4 #1. print([1, 'Hello', 1.0]) #2 print([1, 1, [1,2]][2][1]) #3. out: 'b', 'c' print(['a','b', 'c'][1:]) #4. weekDict= {'Sunday':0,'Monday':1,'Tuesday':2,'Wednesday':3,'Thursday':4,'Friday':5,'Saturday':6, } #5. out: 2 if you replace D[k1][1] with D['k1][1] D={'k1':[1,2,3]} print(D['k1'][1]) #6. tup = ( 'a', [1,[2,3]] ) print(tup) #7. x= set('Missipi') print(x) #8 x.add('X') print(x) #9 out: [1, 2, ,3] print(set([1,1,2,3])) #10 for i in range(2000,3001): if (i%7==0) and (i%5!=0): print(i)

13.175

98

0.489564

110

527

2.345455

0.4

0.03876

0.062016

0.093023

0

0.141876

0.170778

527

40

99

13.175

0.448513

0.187856

0

0.125

0

0.170673

0

1

0

false

0

0.5625

0

null

0

1

0

null

0

1

0

2

0dc54bb903b475f38621941bf098cb9e92be0daf

548

py

Python

authentication/urls.py

thestackcoder/notifao_app

e21ab3c0eed72a64ee24508b92045de13c8385bb

[ "MIT" ]

null

authentication/urls.py

thestackcoder/notifao_app

e21ab3c0eed72a64ee24508b92045de13c8385bb

[ "MIT" ]

null

authentication/urls.py

thestackcoder/notifao_app

e21ab3c0eed72a64ee24508b92045de13c8385bb

[ "MIT" ]

null

# -*- encoding: utf-8 -*- """ License: MIT Copyright (c) 2019 - present AppSeed.us """ from django.urls import path from .views import login_view, register_user, reset_password from django.contrib.auth.views import LogoutView from .views import * urlpatterns = [ path('login/', login_view, name="login"), path('register/', register_user, name="register"), path("logout/", LogoutView.as_view(), name="logout"), path('reset/', reset_view, name="reset"), path('reset_password/<str:pk>/',reset_password, name="reset_password"), ]

28.842105

75

0.695255

71

548

5.225352

0.450704

0.140162

0.080863

0

0.010526

0.133212

548

18

76

30.444444

0.770526

0.140511

0

0.194384

0.051836

0

1

0

false

0.181818

0.363636

0

0.363636

0

null

0

null

0

1

0

2

0dc75b65a9507820b7a1135f0816c7e8f573fa2d

654

py

Python

mitmproxy/contentviews/auto.py

KarlParkinson/mitmproxy

fd5caf40c75ca73c4b767170497abf6a5bf016a0

[ "MIT" ]

24,939

2015-01-01T17:13:21.000Z

2022-03-31T17:50:04.000Z

mitmproxy/contentviews/auto.py

PeterDaveHello/mitmproxy

4bd7b6c4eadeaca712f63e0e73f20bcf6aadbffb

[ "MIT" ]

3,655

2015-01-02T12:31:43.000Z

2022-03-31T20:24:57.000Z

mitmproxy/contentviews/auto.py

PeterDaveHello/mitmproxy

4bd7b6c4eadeaca712f63e0e73f20bcf6aadbffb

[ "MIT" ]

3,712

2015-01-06T06:47:06.000Z

2022-03-31T10:33:27.000Z

from mitmproxy import contentviews from . import base class ViewAuto(base.View): name = "Auto" def __call__(self, data, **metadata): # TODO: The auto view has little justification now that views implement render_priority, # but we keep it around for now to not touch more parts. priority, view = max( (v.render_priority(data, **metadata), v) for v in contentviews.views ) if priority == 0 and not data: return "No content", [] return view(data, **metadata) def render_priority(self, data: bytes, **metadata) -> float: return -1 # don't recurse.

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null

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null

0

1

0

1

0

2

0dd15e9fbd8b5095490c20bbe408b720a1df4284

76

py

Python

nicos_mlz/resi/setups/resi.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

12

2019-11-06T15:40:36.000Z

2022-01-01T16:23:00.000Z

nicos_mlz/resi/setups/resi.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

91

2020-08-18T09:20:26.000Z

2022-02-01T11:07:14.000Z

nicos_mlz/resi/setups/resi.py

jkrueger1/nicos

5f4ce66c312dedd78995f9d91e8a6e3c891b262b

[ "CC-BY-3.0", "Apache-2.0", "CC-BY-4.0" ]

6

2020-01-11T10:52:30.000Z

2022-02-25T12:35:23.000Z

description = 'Resi instrument setup' group = 'basic' includes = ['base']

12.666667

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0

1

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null

0

1

0

null

0

2

0de5d6a47d80b154cdbdae53819a355507f08a2e

800

py

Python

class3/exercises/exercise1.py

twin-bridges/netmiko_course

31943e4f6f66dbfe523d62d5a2f03285802a8c56

[ "Apache-2.0" ]

11

2020-09-16T06:53:16.000Z

2021-08-24T21:27:37.000Z

class3/exercises/exercise1.py

twin-bridges/netmiko_course

31943e4f6f66dbfe523d62d5a2f03285802a8c56

[ "Apache-2.0" ]

null

class3/exercises/exercise1.py

twin-bridges/netmiko_course

31943e4f6f66dbfe523d62d5a2f03285802a8c56

[ "Apache-2.0" ]

5

2020-10-18T20:25:59.000Z

2021-10-20T16:27:00.000Z

import os from getpass import getpass from pprint import pprint from netmiko import ConnectHandler # Code so automated tests will run properly password = os.getenv("NETMIKO_PASSWORD") if os.getenv("NETMIKO_PASSWORD") else getpass() arista1 = { "device_type": "arista_eos", "host": "arista1.lasthop.io", "username": "pyclass", "password": password, } with ConnectHandler(**arista1) as net_connect: show_vlan = net_connect.send_command("show vlan", use_textfsm=True) print() print("VLAN Table:") print("-" * 18) pprint(show_vlan) print() for vlan_dict in show_vlan: if vlan_dict["vlan_id"] == "7": print() print(f"VLAN ID: {vlan_dict['vlan_id']}") print(f"VLAN name: {vlan_dict['name']}") print()

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null

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0de9893144b5910f320fefedfcebe7eebec65b42

475

py

Python

app/controllers/user.py

souravlahoti/GithubAction

6cda8f4ab022f78df7539b32571c1406f8943ad5

[ "MIT" ]

null

app/controllers/user.py

souravlahoti/GithubAction

6cda8f4ab022f78df7539b32571c1406f8943ad5

[ "MIT" ]

null

app/controllers/user.py

souravlahoti/GithubAction

6cda8f4ab022f78df7539b32571c1406f8943ad5

[ "MIT" ]

null

from flask import jsonify from flask_restful import Resource class User(Resource): def get(self, id): data = {'name': 'nabin khadka'} return jsonify(data) def put(self, id): pass def patch(self, id): pass def delete(self, id): pass class UserList(Resource): def get(self): data = [{'name': 'nabin khadka', 'email': 'sourav@gmail.com'}] return jsonify(data) def post(self): pass

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null

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py

Python

coderdojochi/migrations/0021_auto_20180815_1757.py

rgroves/weallcode-website

ead60d3272dbbfe610b2d500978d1de44aef6386

[ "MIT" ]

15

2019-05-04T00:24:00.000Z

2021-08-21T16:34:05.000Z

coderdojochi/migrations/0021_auto_20180815_1757.py

rgroves/weallcode-website

ead60d3272dbbfe610b2d500978d1de44aef6386

[ "MIT" ]

73

2019-04-24T15:53:42.000Z

2021-08-06T20:41:41.000Z

coderdojochi/migrations/0021_auto_20180815_1757.py

rgroves/weallcode-website

ead60d3272dbbfe610b2d500978d1de44aef6386

[ "MIT" ]

20

2019-04-26T20:13:08.000Z

2021-06-21T14:53:21.000Z

# Generated by Django 2.0.6 on 2018-08-15 22:57 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('coderdojochi', '0020_mentor_shirt_size'), ] operations = [ migrations.AddField( model_name='mentor', name='home_address', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='mentor', name='phone', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='mentor', name='work_place', field=models.CharField(blank=True, max_length=255, null=True), ), ]

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null

0

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216ee6cd0a2a320e0ac816601363649bae571b45

1,691

py

Python

test/tests/set.py

jvkersch/pyston

2c7e7a5e0ed7a0a8b4528919f855fa8336b43902

[ "BSD-2-Clause", "Apache-2.0" ]

null

test/tests/set.py

jvkersch/pyston

2c7e7a5e0ed7a0a8b4528919f855fa8336b43902

[ "BSD-2-Clause", "Apache-2.0" ]

null

test/tests/set.py

jvkersch/pyston

2c7e7a5e0ed7a0a8b4528919f855fa8336b43902

[ "BSD-2-Clause", "Apache-2.0" ]

null

s1 = {1} def sorted(s): l = list(s) l.sort() return repr(l) s1 = set() | set(range(3)) print sorted(s1) s2 = set(range(1, 5)) print sorted(s2) print repr(sorted(s1)), str(sorted(s1)) print sorted(s1 - s2) print sorted(s2 - s1) print sorted(s1 ^ s2) print sorted(s1 & s2) print sorted(s1 | s2) print len(set(range(5))) s = set(range(5)) print sorted(s) s.add(3) print sorted(s) s.add("") print len(s) s.add(None) print len(s) print set([1]) for i in set([1]): print i s = frozenset(range(5)) print len(s) print sorted(s) print frozenset() print hasattr(s, "remove") print hasattr(s, "add") print frozenset() | frozenset() print set() | frozenset() print frozenset() | set() print set() | set() for i in xrange(8): print i, i in set(range(2, 5)) print i, i in frozenset(range(2, 5)) s = set(range(5)) print len(s) s.clear() print s s.update((10, 15)) print sorted(s) s.update((10, 15), range(8)) print sorted(s) s.remove(6) print sorted(s) try: s.remove(6) except KeyError, e: print e def f2(): print {5} f2() s = set([]) s2 = s.copy() s.add(1) print s, s2 s1 = set([3, 5]) s2 = set([1, 5]) print sorted(s1.union(s2)), sorted(s1.intersection(s2)) print sorted(s1.union(range(5, 7))), sorted(s1.intersection(range(5, 7))) print sorted(s2.union([], [], [], [])), sorted(s2.intersection()) s = frozenset([1, 5]) d = s.difference([1], [1], [2]) print d, len(s) print l = [] s = set(range(5)) while s: l.append(s.pop()) l.sort() print l s = set([1]) s.discard(1) print s s.discard(1) print s s = set(range(5)) for i in xrange(10): s2 = set(range(i)) print s.issubset(s2), s.issuperset(s2), s == s2, s != s2, s.difference(s2)

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null

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1

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21758ae5b904cd586ad12411253dc0f4bd9495ef

350

py

Python

tests/data/dos.py

granrothge/multiphonon

486a998eeb6b73b964a58ba0f98fe3ece15bdf6e

[ "MIT" ]

1

2019-05-22T08:46:09.000Z

tests/data/dos.py

granrothge/multiphonon

486a998eeb6b73b964a58ba0f98fe3ece15bdf6e

[ "MIT" ]

118

2016-04-04T12:27:15.000Z

2021-08-18T01:46:13.000Z

tests/data/dos.py

granrothge/multiphonon

486a998eeb6b73b964a58ba0f98fe3ece15bdf6e

[ "MIT" ]

5

2017-09-28T16:01:12.000Z

2020-01-31T18:58:09.000Z

#!/usr/bin/env python # # Jiao Lin <jiao.lin@gmail.com> import os datadir = os.path.abspath(os.path.dirname(__file__)) def loadDOS(): f = os.path.join(datadir, 'V-dos.dat') from multiphonon.dos import io E, Z, error = io.fromascii(f) from multiphonon.dos.nice import nice_dos E,g = nice_dos(E, Z) return E,g # End of file

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null

0

1

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1

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219042565e81d8c12997684eb40b91c86b416cb5

701

py

Python

ex18.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

ex18.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

ex18.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

#this one is like your scripts with argv def print_two(*args): arg1, arg2 = args print "arg1: %r, arg2: %r" % (arg1, arg2) #ok, the *args is actually pointless, we can just do this def print_two_again(arg1, arg2): print "arg1: %r, arg2: %r" % (arg1, arg2) #this just takes one argument def print_one(arg1): print "arg1: %r" % arg1 #this one takes no arguments def print_none(): print "I got nothin'." def print_places(*argv): place1, place2, place3 = argv print "place1: %r \t place2: %r \t place3: %r" %(place1, place2, place3) print_two("Zed","Shaw") print_two_again("Zed","Shaw") print_one("First!") print_none() print_places("Bengaluru", "Chennai", "New Delhi")

24.172414

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null

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1

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1

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2

21abd949743f6366711da7e003fd265439edaff6

1,683

py

Python

python/ray/tests/test_list_actors.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

python/ray/tests/test_list_actors.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

python/ray/tests/test_list_actors.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

import pytest import sys import ray from ray._private.test_utils import wait_for_condition def test_list_named_actors_basic(ray_start_regular): @ray.remote class A: pass a = A.remote() assert not ray.util.list_named_actors() a = A.options(name="hi").remote() assert len(ray.util.list_named_actors()) == 1 assert "hi" in ray.util.list_named_actors() b = A.options(name="hi2").remote() assert len(ray.util.list_named_actors()) == 2 assert "hi" in ray.util.list_named_actors() assert "hi2" in ray.util.list_named_actors() def one_actor(): actors = ray.util.list_named_actors() return actors == ["hi2"] del a wait_for_condition(one_actor) del b wait_for_condition(lambda: not ray.util.list_named_actors()) @pytest.mark.parametrize("ray_start_regular", [{"local_mode": True}], indirect=True) def test_list_named_actors_basic_local_mode(ray_start_regular): @ray.remote class A: pass a = A.remote() assert not ray.util.list_named_actors() a = A.options(name="hi").remote() # noqa: F841 assert len(ray.util.list_named_actors()) == 1 assert "hi" in ray.util.list_named_actors() b = A.options(name="hi2").remote() # noqa: F841 assert len(ray.util.list_named_actors()) == 2 assert "hi" in ray.util.list_named_actors() assert "hi2" in ray.util.list_named_actors() if __name__ == "__main__": import os # Test suite is timing out. Disable on windows for now. if os.environ.get("PARALLEL_CI"): sys.exit(pytest.main(["-n", "auto", "--boxed", "-vs", __file__])) else: sys.exit(pytest.main(["-sv", __file__]))

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0.25

0

null

0

1

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null

0

2

21ae2a24ae236e3d5b5a92a327d356b5c7ba6074

90

py

Python

aiida_crystal_dft/__init__.py

tilde-lab/aiida-crystal-dft

971fd13a3f414d6e80cc654dc92a8758f6e0365c

[ "MIT" ]

2

2019-02-05T16:49:08.000Z

2020-01-29T12:27:14.000Z

aiida_crystal_dft/__init__.py

tilde-lab/aiida-crystal-dft

971fd13a3f414d6e80cc654dc92a8758f6e0365c

[ "MIT" ]

36

2020-03-09T19:35:10.000Z

2021-12-07T22:13:31.000Z

aiida_crystal_dft/__init__.py

tilde-lab/aiida-crystal-dft

971fd13a3f414d6e80cc654dc92a8758f6e0365c

[ "MIT" ]

1

2019-11-13T23:12:10.000Z

""" aiida_crystal_dft AiiDA plugin for running the CRYSTAL code """ __version__ = "0.8"

11.25

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0

1

0

null

0

1

0

null

0

2

21b1eb4686bf40669ec47b042269eff5341c4c0e

377

py

Python

tkinterLearning/graphinKivyExample.py

MertEfeSevim/ECar-ABUTeam

4a37cbddff1609a1e1e8bd55fe6077b384471024

[ "Apache-2.0" ]

null

tkinterLearning/graphinKivyExample.py

MertEfeSevim/ECar-ABUTeam

4a37cbddff1609a1e1e8bd55fe6077b384471024

[ "Apache-2.0" ]

null

tkinterLearning/graphinKivyExample.py

MertEfeSevim/ECar-ABUTeam

4a37cbddff1609a1e1e8bd55fe6077b384471024

[ "Apache-2.0" ]

null

from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg from kivy.app import App from kivy.uix.boxlayout import BoxLayout import matplotlib.pyplot as plt plt.plot([1, 23, 2, 4]) plt.ylabel('some numbers') class MyApp(App): def build(self): box = BoxLayout() box.add_widget(FigureCanvasKivyAgg(plt.gcf())) return box MyApp().run()

22.176471

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0

null

0

null

0

1

0

1

0

2

21b3aa32ee34e39e88f108b17ea530a57eb6e324

1,912

py

Python

pandas_market_calendars/exchange_calendars_mirror.py

matbox/pandas_market_calendars

942ad6de5f3e2700a4f8b2c2d44ccb65fa9fdab5

[ "MIT" ]

null

pandas_market_calendars/exchange_calendars_mirror.py

matbox/pandas_market_calendars

942ad6de5f3e2700a4f8b2c2d44ccb65fa9fdab5

[ "MIT" ]

null

pandas_market_calendars/exchange_calendars_mirror.py

matbox/pandas_market_calendars

942ad6de5f3e2700a4f8b2c2d44ccb65fa9fdab5

[ "MIT" ]

null

""" Imported calendars from the exchange_calendars project GitHub: https://github.com/gerrymanoim/exchange_calendars """ from datetime import time from .market_calendar import MarketCalendar import exchange_calendars class TradingCalendar(MarketCalendar): def __init__(self, open_time=None, close_time=None): self._tc = self._tc_class() # noqa: _tc.class is defined in the class generator below super().__init__(open_time, close_time) @property def name(self): return self._tc.name @property def tz(self): return self._tc.tz @property def open_time_default(self): return self._tc.open_times[0][1].replace(tzinfo=self.tz) @property def close_time_default(self): return self._tc.close_times[0][1].replace(tzinfo=self.tz) @property def break_start(self): tc_time = self._tc.break_start_times return tc_time[0][1] if tc_time else None @property def break_end(self): tc_time = self._tc.break_end_times return tc_time[0][1] if tc_time else None @property def regular_holidays(self): return self._tc.regular_holidays @property def adhoc_holidays(self): return self._tc.adhoc_holidays @property def special_opens(self): return self._tc.special_opens @property def special_opens_adhoc(self): return self._tc.special_opens_adhoc @property def special_closes(self): return self._tc.special_closes @property def special_closes_adhoc(self): return self._tc.special_closes_adhoc calendars = exchange_calendars.calendar_utils._default_calendar_factories # noqa for exchange in calendars: locals()[exchange + 'ExchangeCalendar'] = type(exchange, (TradingCalendar, ), {'_tc_class': calendars[exchange], 'alias': [exchange]})

26.191781

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null

0

null

0

1

0

1

0

2

21bdf99390c3df665d25199aea9fff225ef4b831

1,004

py

Python

tests/pyrem_tests.py

sgdxbc/PyREM

e162efd5f95d1d335fb96d77cbe047def02c340e

[ "MIT" ]

5

2016-01-20T22:34:41.000Z

2020-12-19T15:24:33.000Z

tests/pyrem_tests.py

sgdxbc/PyREM

e162efd5f95d1d335fb96d77cbe047def02c340e

[ "MIT" ]

12

2015-11-11T23:03:03.000Z

2021-09-28T17:09:53.000Z

tests/pyrem_tests.py

sgdxbc/PyREM

e162efd5f95d1d335fb96d77cbe047def02c340e

[ "MIT" ]

4

2015-12-10T05:14:30.000Z

2021-08-14T02:48:05.000Z

from pyrem.task import Task, TaskStatus class DummyTask(Task): def _start(self): pass def _wait(self): pass def _stop(self): pass class TestDummyTask(object): @classmethod def setup_class(klass): """This method is run once for each class before any tests are run""" pass @classmethod def teardown_class(klass): """This method is run once for each class _after_ all tests are run""" pass def setup(self): self.task = DummyTask() def teardown(self): """This method is run once after _each_ test method is executed""" pass def test_status(self): assert self.task._status == TaskStatus.IDLE self.task.start() assert self.task._status == TaskStatus.STARTED self.task.wait() assert self.task._status == TaskStatus.STOPPED def test_status2(self): self.task.start(wait=True) assert self.task._status == TaskStatus.STOPPED

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1,004

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null

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1

0

2

21c9e3f18e9ff9713871cd9e59f532296cc7c00f

8,500

py

Python

python/sparktk/models/classification/naive_bayes.py

aayushidwivedi01/spark-tk-old

fcf25f86498ac416cce77de0db4cf0aa503d20ac

[ "ECL-2.0", "Apache-2.0" ]

1

2017-05-17T07:09:59.000Z

python/sparktk/models/classification/naive_bayes.py

aayushidwivedi01/spark-tk-old

fcf25f86498ac416cce77de0db4cf0aa503d20ac

[ "ECL-2.0", "Apache-2.0" ]

null

python/sparktk/models/classification/naive_bayes.py

aayushidwivedi01/spark-tk-old

fcf25f86498ac416cce77de0db4cf0aa503d20ac

[ "ECL-2.0", "Apache-2.0" ]

null

# vim: set encoding=utf-8 # Copyright (c) 2016 Intel Corporation # # 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 sparktk.loggers import log_load; log_load(__name__); del log_load from sparktk.propobj import PropertiesObject from sparktk.frame.ops.classification_metrics_value import ClassificationMetricsValue from sparktk import TkContext __all__ = ["train", "load", "NaiveBayesModel"] def train(frame, label_column, observation_columns, lambda_parameter = 1.0): """ Creates a Naive Bayes by training on the given frame :param frame: (Frame) frame of training data :param label_column: (str) Column containing the label for each observation :param observation_columns: (List[str]) Column(s) containing the observations :param lambda_parameter: (float) Additive smoothing parameter Default is 1.0 :return: (NaiveBayesModel) Trained Naive Bayes model """ if frame is None: raise ValueError("frame cannot be None") tc = frame._tc _scala_obj = get_scala_obj(tc) scala_model = _scala_obj.train(frame._scala, label_column, tc.jutils.convert.to_scala_list_string(observation_columns), lambda_parameter) return NaiveBayesModel(tc, scala_model) def load(path, tc=TkContext.implicit): """load NaiveBayesModel from given path""" TkContext.validate(tc) return tc.load(path, NaiveBayesModel) def get_scala_obj(tc): """Gets reference to the scala object""" return tc.sc._jvm.org.trustedanalytics.sparktk.models.classification.naive_bayes.NaiveBayesModel class NaiveBayesModel(PropertiesObject): """ A trained Naive Bayes model Example ------- >>> frame = tc.frame.create([[1,19.8446136104,2.2985856384], ... [1,16.8973559126,2.6933495054], ... [1,5.5548729596, 2.7777687995], ... [0,46.1810010826,3.1611961917], ... [0,44.3117586448,3.3458963222], ... [0,34.6334526911,3.6429838715]], ... [('Class', int), ('Dim_1', float), ('Dim_2', float)]) >>> model = tc.models.classification.naive_bayes.train(frame, 'Class', ['Dim_1', 'Dim_2'], 0.9) >>> model.label_column u'Class' >>> model.observation_columns [u'Dim_1', u'Dim_2'] >>> model.lambda_parameter 0.9 >>> predicted_frame = model.predict(frame, ['Dim_1', 'Dim_2']) >>> predicted_frame.inspect() [#] Class Dim_1 Dim_2 predicted_class ======================================================== [0] 1 19.8446136104 2.2985856384 0.0 [1] 1 16.8973559126 2.6933495054 1.0 [2] 1 5.5548729596 2.7777687995 1.0 [3] 0 46.1810010826 3.1611961917 0.0 [4] 0 44.3117586448 3.3458963222 0.0 [5] 0 34.6334526911 3.6429838715 0.0 >>> model.save("sandbox/naivebayes") >>> restored = tc.load("sandbox/naivebayes") >>> restored.label_column == model.label_column True >>> restored.lambda_parameter == model.lambda_parameter True >>> set(restored.observation_columns) == set(model.observation_columns) True >>> metrics = model.test(frame) >>> metrics.precision 1.0 >>> predicted_frame2 = restored.predict(frame, ['Dim_1', 'Dim_2']) >>> predicted_frame2.inspect() [#] Class Dim_1 Dim_2 predicted_class ======================================================== [0] 1 19.8446136104 2.2985856384 0.0 [1] 1 16.8973559126 2.6933495054 1.0 [2] 1 5.5548729596 2.7777687995 1.0 [3] 0 46.1810010826 3.1611961917 0.0 [4] 0 44.3117586448 3.3458963222 0.0 [5] 0 34.6334526911 3.6429838715 0.0 >>> canonical_path = model.export_to_mar("sandbox/naivebayes.mar") <hide> >>> import os >>> os.path.exists(canonical_path) True </hide> """ def __init__(self, tc, scala_model): self._tc = tc tc.jutils.validate_is_jvm_instance_of(scala_model, get_scala_obj(tc)) self._scala = scala_model @staticmethod def _from_scala(tc, scala_model): return NaiveBayesModel(tc, scala_model) @property def label_column(self): return self._scala.labelColumn() @property def observation_columns(self): return self._tc.jutils.convert.from_scala_seq(self._scala.observationColumns()) @property def lambda_parameter(self): return self._scala.lambdaParameter() def predict(self, future_periods = 0, ts = None): """ Forecasts future periods using ARIMA. Provided fitted values of the time series as 1-step ahead forecasts, based on current model parameters, then provide future periods of forecast. We assume AR terms prior to the start of the series are equal to the model's intercept term (or 0.0, if fit without an intercept term). Meanwhile, MA terms prior to the start are assumed to be 0.0. If there is differencing, the first d terms come from the original series. :param future_periods: (int) Periods in the future to forecast (beyond length of time series that the model was trained with). :param ts: (Optional(List[float])) Optional list of time series values to use as golden values. If no time series values are provided, the values used during training will be used during forecasting. """ if not isinstance(future_periods, int): raise TypeError("'future_periods' parameter must be an integer.") if ts is not None: if not isinstance(ts, list): raise TypeError("'ts' parameter must be a list of float values." ) ts_predict_values = self._tc.jutils.convert.to_scala_option_list_double(ts) return list(self._tc.jutils.convert.from_scala_seq(self._scala.predict(future_periods, ts_predict_values))) def predict(self, frame, columns=None): """ Predicts the labels for the observation columns in the given input frame. Creates a new frame with the existing columns and a new predicted column. Parameters ---------- :param frame: (Frame) Frame used for predicting the values :param c: (List[str]) Names of the observation columns. :return: (Frame) A new frame containing the original frame's columns and a prediction column """ c = self.__columns_to_option(columns) from sparktk.frame.frame import Frame return Frame(self._tc, self._scala.predict(frame._scala, c)) def test(self, frame, columns=None): c = self.__columns_to_option(columns) return ClassificationMetricsValue(self._tc, self._scala.test(frame._scala, c)) def __columns_to_option(self, c): if c is not None: c = self._tc.jutils.convert.to_scala_list_string(c) return self._tc.jutils.convert.to_scala_option(c) def save(self, path): self._scala.save(self._tc._scala_sc, path) def export_to_mar(self, path): """ Exports the trained model as a model archive (.mar) to the specified path Parameters ---------- :param path: (str) Path to save the trained model :return: (str) Full path to the saved .mar file """ if isinstance(path, basestring): return self._scala.exportToMar(self._tc._scala_sc, path) del PropertiesObject

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null

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null

0

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1

0

2

21cb6726d5d75e89f98527599cbd57bd6acc970a

75

py

Python

custom_model_runner/datarobot_drum/drum/description.py

cartertroy/datarobot-user-models

d2c2b47e0d46a0ce8d07f1baa8d57155a829d2fc

[ "Apache-2.0" ]

null

custom_model_runner/datarobot_drum/drum/description.py

cartertroy/datarobot-user-models

d2c2b47e0d46a0ce8d07f1baa8d57155a829d2fc

[ "Apache-2.0" ]

null

custom_model_runner/datarobot_drum/drum/description.py

cartertroy/datarobot-user-models

d2c2b47e0d46a0ce8d07f1baa8d57155a829d2fc

[ "Apache-2.0" ]

null

version = "1.1.5rc1" __version__ = version project_name = "datarobot-drum"

18.75

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null

0

1

0

null

0

2

21e723f45f87fc926e72e1075bacd22832327764

715

py

Python

scripts/convert_0.0_to_0.1.py

codecraftingtools/hildegard

cc658ab4972dfaf67e995c797d0493a5d82a611f

[ "MIT" ]

null

scripts/convert_0.0_to_0.1.py

codecraftingtools/hildegard

cc658ab4972dfaf67e995c797d0493a5d82a611f

[ "MIT" ]

null

scripts/convert_0.0_to_0.1.py

codecraftingtools/hildegard

cc658ab4972dfaf67e995c797d0493a5d82a611f

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2020 Jeffrey A. Webb import sys f = open(sys.argv[1]) for line in f: s = line.strip() if s.startswith("source:"): id = s.split(":")[-1].strip() indent = ' '*line.index("source") sys.stdout.write(f"{indent}source:\n") sys.stdout.write(f"{indent} - Endpoint:\n") sys.stdout.write(f"{indent} connector: {id}\n") elif s.startswith("sink:"): id = s.split(":")[-1].strip() indent = ' '*line.index("sink") sys.stdout.write(f"{indent}sink:\n") sys.stdout.write(f"{indent} - Endpoint:\n") sys.stdout.write(f"{indent} connector: {id}\n") else: sys.stdout.write(line)

29.791667

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715

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null

0

1

0

null

0

2

21f35dbbfba3587292969ac6f42df8409ca16d0e

223

py

Python

data/python/pattern_10/code.py

MKAbuMattar/grammind-api

ccf6e9898f50f9e4c7671abecf65029198e2dc72

[ "MIT" ]

3

2021-12-29T13:03:27.000Z

2021-12-31T20:27:17.000Z

data/python/pattern_10/code.py

MKAbuMattar/grammind-api

ccf6e9898f50f9e4c7671abecf65029198e2dc72

[ "MIT" ]

2

2022-01-15T13:08:13.000Z

2022-01-18T19:41:07.000Z

data/python/pattern_10/code.py

MKAbuMattar/grammind-api

ccf6e9898f50f9e4c7671abecf65029198e2dc72

[ "MIT" ]

null

#MAIN PROGRAM STARTS HERE: num = int(input('Enter the number of rows and columns for the square: ')) for x in range(1, num + 1): for y in range(1, num - 2 + 1): print ('{} {} '.format(x, y), end='') print()

31.857143

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31.857143

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0

null

0

1

0

1

0

null

0

2

21f45310f90a55cefdff3888526c635be854305a

373

py

Python

test/py/RunClientServer.py

KirinDave/powerset_thrift

283603cce87e6da4117af1d3c91570e7466846c2

[ "BSL-1.0" ]

1

2016-05-08T06:27:22.000Z

test/py/RunClientServer.py

wmorgan/thrift

d9ba3d7a3e25f0f88766c344b2e937422858320b

[ "BSL-1.0" ]

null

test/py/RunClientServer.py

wmorgan/thrift

d9ba3d7a3e25f0f88766c344b2e937422858320b

[ "BSL-1.0" ]

1

2021-02-09T10:25:34.000Z

#!/usr/bin/env python import subprocess import sys import os import signal serverproc = subprocess.Popen([sys.executable, "TestServer.py"]) try: ret = subprocess.call([sys.executable, "TestClient.py"]) if ret != 0: raise Exception("subprocess failed") finally: # fixme: should check that server didn't die os.kill(serverproc.pid, signal.SIGKILL)

21.941176

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0.707775

49

373

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0.003236

0.171582

373

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0

null

0

null

0

1

0

1

0

2

21fdcfcb45fd6e4c2b13357b9059ca59108a10c0

968

py

Python

recipes/happly/all/conanfile.py

rockandsalt/conan-center-index

d739adcec3e4dd4c250eff559ceb738e420673dd

[ "MIT" ]

562

2019-09-04T12:23:43.000Z

2022-03-29T16:41:43.000Z

recipes/happly/all/conanfile.py

rockandsalt/conan-center-index

d739adcec3e4dd4c250eff559ceb738e420673dd

[ "MIT" ]

9,799

2019-09-04T12:02:11.000Z

2022-03-31T23:55:45.000Z

recipes/happly/all/conanfile.py

rockandsalt/conan-center-index

d739adcec3e4dd4c250eff559ceb738e420673dd

[ "MIT" ]

1,126

2019-09-04T11:57:46.000Z

2022-03-31T16:43:38.000Z

from conans import ConanFile, tools class HapplyConan(ConanFile): name = "happly" url = "https://github.com/conan-io/conan-center-index" homepage = "https://github.com/nmwsharp/happly" topics = ("conan", "happly", "ply", "3D") license = "MIT" description = "A C++ header-only parser for the PLY file format. Parse .ply happily!" settings = "compiler" no_copy_source = True @property def _source_subfolder(self): return "source_subfolder" def validate(self): if self.settings.compiler.cppstd: tools.check_min_cppstd(self, 11) def source(self): tools.get(**self.conan_data["sources"][self.version], destination=self._source_subfolder, strip_root=True) def package(self): self.copy("LICENSE", src=self._source_subfolder, dst="licenses") self.copy("happly.h", src=self._source_subfolder, dst="include") def package_id(self): self.info.header_only()

31.225806

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0.663223

122

968

5.122951

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0.0704

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968

30

115

32.266667

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0

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0

0.043478

0.695652

0

null

0

null

0

1

0

1

0

2

1d0414064a76791a07370cb0449ad44c12e6bd53

556

py

Python

src/148.py

cloudzfy/euler

b82efad753ee98375fd40ec4e3989be57828e82c

[ "MIT" ]

12

2016-10-19T09:03:20.000Z

2021-01-10T10:53:23.000Z

src/148.py

cloudzfy/euler

b82efad753ee98375fd40ec4e3989be57828e82c

[ "MIT" ]

null

src/148.py

cloudzfy/euler

b82efad753ee98375fd40ec4e3989be57828e82c

[ "MIT" ]

6

2018-09-12T03:13:58.000Z

2021-07-07T00:29:43.000Z

# We can easily verify that none of the entries in the first seven # rows of Pascal's triangle are divisible by 7: # 1 # 1 1 # 1 2 1 # 1 3 3 1 # 1 4 6 4 1 # 1 5 10 10 5 1 # 1 6 15 20 15 6 1 # However, if we check the first one hundred rows, we will find # that only 2361 of the 5050 entries are not divisible by 7. # Find the number of entries which are not divisible by 7 in the # first one billion (10^9) rows of Pascal's triangle.

34.75

66

0.546763

97

556

3.134021

0.453608

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0.411871

556

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null

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1

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null

0

1

0

2

df0aff4197ef0ad00e311fbd3784ea4b9b5eea37

2,142

py

Python

snuba/utils/types.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

snuba/utils/types.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

snuba/utils/types.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

from dataclasses import dataclass from typing import Any, Generic, TypeVar from typing_extensions import Protocol TComparable = TypeVar("TComparable", contravariant=True) class Comparable(Protocol[TComparable]): """ Defines the protocol for comparable objects. Objects that satisfy this protocol are assumed to have an ordering via the "rich comparison" methods defined here. "An ordering" does not necessarily imply a *total* ordering, or even that the ordering itself is deterministic. The Python documentation provides a more detailed explanation about the guarantees (or lack thereof) provided by these methods: https://docs.python.org/3/reference/datamodel.html#object.__lt__ This class exists primarily to satisfy the type checker when dealing with generics that will be directly compared, and secondarily to provide documentation via type annotations. In reality, this class provides little to no practical benefit, since all of these methods defined in the protocol are part of the ``object`` class definition (which is shared by all classes by default) but returns ``NotImplemented`` rather than returning a valid result. (This protocol is not defined as runtime checkable for that reason.) """ def __lt__(self, other: TComparable) -> bool: raise NotImplementedError def __le__(self, other: TComparable) -> bool: raise NotImplementedError def __gt__(self, other: TComparable) -> bool: raise NotImplementedError def __ge__(self, other: TComparable) -> bool: raise NotImplementedError def __eq__(self, other: object) -> bool: raise NotImplementedError def __ne__(self, other: object) -> bool: raise NotImplementedError T = TypeVar("T", bound=Comparable[Any]) @dataclass(frozen=True) class InvalidRangeError(ValueError, Generic[T]): lower: T upper: T @dataclass(frozen=True) class Interval(Generic[T]): lower: T upper: T def __post_init__(self) -> None: if not self.upper >= self.lower: raise InvalidRangeError(self.lower, self.upper)

31.5

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5.674157

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0

null

0

null

0

1

0

1

0

2

df0edbdfa3781bf2e4a9e3ef7d2addd8064bef5a

830

py

Python

scripts/pyqtgraph-develop/pyqtgraph/pixmaps/__init__.py

kuldeepaman/tf-pose

8050912c52a7b4f3c8a2656f267d47ba21d093f6

[ "Apache-2.0" ]

null

scripts/pyqtgraph-develop/pyqtgraph/pixmaps/__init__.py

kuldeepaman/tf-pose

8050912c52a7b4f3c8a2656f267d47ba21d093f6

[ "Apache-2.0" ]

null

scripts/pyqtgraph-develop/pyqtgraph/pixmaps/__init__.py

kuldeepaman/tf-pose

8050912c52a7b4f3c8a2656f267d47ba21d093f6

[ "Apache-2.0" ]

null

""" Allows easy loading of pixmaps used in UI elements. Provides support for frozen environments as well. """ import os, sys, pickle from ..functions import makeQImage from ..Qt import QtGui from ..python2_3 import basestring if sys.version_info[0] == 2: from . import pixmapData_2 as pixmapData else: from . import pixmapData_3 as pixmapData def getPixmap(name): """ Return a QPixmap corresponding to the image file with the given name. (eg. getPixmap('auto') loads pyqtgraph/pixmaps/auto.png) """ key = name+'.png' data = pixmapData.pixmapData[key] if isinstance(data, basestring) or isinstance(data, bytes): pixmapData.pixmapData[key] = pickle.loads(data) arr = pixmapData.pixmapData[key] return QtGui.QPixmap(makeQImage(arr, alpha=True))

29.642857

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0.687952

107

830

5.299065

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false

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null

0

null

0

1

0

1

0

2

df193d81eacd388f5ab18d96aacd2c5b1b7b5976

548

py

Python

sarikasama/0012/0012.py

saurabh896/python-1

f8d3aedf4c0fe6e24dfa3269ea7e642c9f7dd9b7

[ "MIT" ]

3,976

2015-01-01T15:49:39.000Z

2022-03-31T03:47:56.000Z

sarikasama/0012/0012.py

oyesam7/python-1

220734af09fa09a6f615d4f1b4612a0ab75d91d1

[ "MIT" ]

97

2015-01-11T02:59:46.000Z

2022-03-16T14:01:56.000Z

sarikasama/0012/0012.py

oyesam7/python-1

220734af09fa09a6f615d4f1b4612a0ab75d91d1

[ "MIT" ]

3,533

2015-01-01T06:19:30.000Z

2022-03-28T13:14:54.000Z

#!/usr/bin/env python3 #filter sensitive words in user's input def replace_sensitive_words(input_word): s_words = [] with open('filtered_words','r') as f: line = f.readline() while line != '': s_words.append(line.strip()) line = f.readline() for word in s_words: if word in input_word: input_word = input_word.replace(word, "**") print(input_word) if __name__ == '__main__': while True: input_word = input('--> ') replace_sensitive_words(input_word)

27.4

55

0.600365

71

548

4.309859

0.43662

0.205882

0.137255

0.169935

0.196078

0

0.002513

0.273723

548

19

56

28.842105

0.766332

0.107664

0

0.133333

0

0.059548

0

1

0.066667

false

0

0.066667

0

null

1

0

1

0

null

0

2

df1b5b5a58e2e52b261ca94c9d20882cbf00caf2

1,172

py

Python

moceansdk/modules/command/mc_object/tg_request_contact.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

2

2019-10-31T02:37:43.000Z

2021-07-25T02:45:27.000Z

moceansdk/modules/command/mc_object/tg_request_contact.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

18

2019-05-30T01:09:34.000Z

2022-01-04T07:31:47.000Z

moceansdk/modules/command/mc_object/tg_request_contact.py

d3no/mocean-sdk-python

cbc215a0eb8aa26c04afb940eab6482f23150c75

[ "MIT" ]

4

2019-04-19T08:34:47.000Z

2021-07-21T02:02:07.000Z

from builtins import super from moceansdk.modules.command.mc_object import AbstractMc class TgRequestContact(AbstractMc): def __init__(self, param=None): super().__init__(param) self.set_button_text('Share button') def action(self): return 'send-telegram' def required_key(self): return ('to', 'from') def set_to(self, _to, _contact_type='chat_id'): self._params['to'] = {} self._params['to']['type'] = _contact_type self._params['to']['id'] = _to return self def set_from(self, _from, _contact_type='bot_username'): self._params['from'] = {} self._params['from']['type'] = _contact_type self._params['from']['id'] = _from return self def set_content(self, _text): self._params['content'] = {} self._params['content']['type'] = 'text' self._params['content']['text'] = _text return self def set_button_text(self, _text): self._params['tg_keyboard'] = {} self._params['tg_keyboard']['button_request'] = 'contact' self._params['tg_keyboard']['button_text'] = _text return self

29.3

65

0.610068

138

1,172

4.804348

0.282609

0.180995

0.054299

0.072398

0.153846

0

0.238908

1,172

39

66

30.051282

0.743274

0

0.133333

0

0.151877

0

1

0.233333

false

0

0.066667

0.533333

0

null

0

null

0

1

0

1

0

2

df1f060044c4759d5a15d50dfadd88be86823530

688

py

Python

pyoat/__init__.py

berkanlafci/pyoat

b0cee99adde3c14c5d94f26f6e893a0b2e1fcae2

[ "MIT" ]

5

2022-03-07T16:30:58.000Z

2022-03-28T13:42:01.000Z

pyoat/__init__.py

berkanlafci/pyoat

b0cee99adde3c14c5d94f26f6e893a0b2e1fcae2

[ "MIT" ]

1

2022-03-28T13:41:42.000Z

pyoat/__init__.py

berkanlafci/pyoat

b0cee99adde3c14c5d94f26f6e893a0b2e1fcae2

[ "MIT" ]

null

#----- # Description : Import classes/functions from subfolders # Date : February 2021 # Author : Berkan Lafci # E-mail : lafciberkan@gmail.com #----- # package version __version__ = "1.0.0" # oa recon codes from pyoat.reconstruction import cpuBP, cpuMB, modelOA # data readers from pyoat.readers import oaReader # preprocessing tools from pyoat.preprocessing import sigMatFilter from pyoat.preprocessing import sigMatNormalize # simulation from pyoat.simulation import forward # utils from pyoat.utils import saveImagePng, saveImageMat, saveSignalPng, saveSignalMat, saveImageH5 from pyoat.utils import calculateDelay from pyoat.utils import averageSignals

25.481481

93

0.767442

78

688

6.717949

0.589744

0.137405

0.080153

0.114504

0

0.013865

0.161337

688

27

94

25.481481

0.894281

0.356105

0

0.011574

0

1

0

false

0

0.888889

0

0.888889

0

null

0

null

0

1

0

1

0

2

df2344b9d30d0dc68153136f3c88de8e8dd0db2a

370

py

Python

Dataset/Leetcode/valid/35/31.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/valid/35/31.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/valid/35/31.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: def XXX(self, nums: List[int], target: int) -> int: l, r = 0, len(nums)-1 # 找到第一个大于或等于target的位置 while l<r: m = (l+r) // 2 if nums[m] >= target: r = m else: l = m + 1 if nums[r] >= target: return r else: return r+1

20.555556

55

0.381081

45

370

3.133333

0.466667

0.042553

0

0.027174

0.502703

370

17

56

21.764706

0.73913

0.051351

0

0.153846

0

null

0

null

0

null

0

1

0

null

0

1

0

2

df2add4292563c4782461ccc1a9f4bd18f1826e0

293

py

Python

ex012.py

sml07/Meus-Estudos-Python

8f06ec8ad170674cd0cc5cf792b5647dbb894a1c

[ "MIT" ]

null

ex012.py

sml07/Meus-Estudos-Python

8f06ec8ad170674cd0cc5cf792b5647dbb894a1c

[ "MIT" ]

null

ex012.py

sml07/Meus-Estudos-Python

8f06ec8ad170674cd0cc5cf792b5647dbb894a1c

[ "MIT" ]

null

#Faça um algoritimo que leia o preço de um produto e mostre o seu novo preço com 5% de desconto. price = float(input("Digite o preço do produto: ")) sale = price - (price * 0.05) print("O valor bruto do produto é: {:.2f}R$.".format(price)) print("Com o desconto de 5%: {:.2f}R$".format(sale))

48.833333

96

0.682594

54

293

3.703704

0.574074

0.06

0.09

0

0.028571

0.163823

293

6

97

48.833333

0.787755

0.324232

0

0.474747

0

1

0

false

0

0.5

0

null

0

1

0

null

0

1

0

2

df2c143e3b261adc27b58c068491f0de1cd09b82

514

py

Python

tests/r/test_bcdeter.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

199

2017-07-24T01:34:27.000Z

2022-01-29T00:50:55.000Z

tests/r/test_bcdeter.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

46

2017-09-05T19:27:20.000Z

2019-01-07T09:47:26.000Z

tests/r/test_bcdeter.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

45

2017-07-26T00:10:44.000Z

2022-03-16T20:44:59.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import shutil import sys import tempfile from observations.r.bcdeter import bcdeter def test_bcdeter(): """Test module bcdeter.py by downloading bcdeter.csv and testing shape of extracted data has 95 rows and 3 columns """ test_path = tempfile.mkdtemp() x_train, metadata = bcdeter(test_path) try: assert x_train.shape == (95, 3) except: shutil.rmtree(test_path) raise()

21.416667

43

0.752918

72

514

5.097222

0.569444

0.081744

0.13079

0

0.014252

0.180934

514

23

44

22.347826

0.857482

0.215953

0

0.066667

1

0.066667

false

0

0.466667

0

0.533333

0.066667

0

null

0

null

0

1

0

1

0

2

df3ca98f6de6dd3416b0ed3855860078017dafec

163,982

py

Python

tests/examples/minlplib/arki0019.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

2

2021-07-03T13:19:10.000Z

2022-02-06T10:48:13.000Z

tests/examples/minlplib/arki0019.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

1

2021-07-04T14:52:14.000Z

2021-07-15T10:17:11.000Z

tests/examples/minlplib/arki0019.py

ouyang-w-19/decogo

52546480e49776251d4d27856e18a46f40c824a1

[ "MIT" ]

null

# NLP written by GAMS Convert at 04/21/18 13:51:02 # # Equation counts # Total E G L N X C B # 3 2 0 1 0 0 0 0 # # Variable counts # x b i s1s s2s sc si # Total cont binary integer sos1 sos2 scont sint # 511 511 0 0 0 0 0 0 # FX 0 0 0 0 0 0 0 0 # # Nonzero counts # Total const NL DLL # 1022 512 510 0 # # Reformulation has removed 1 variable and 1 equation from pyomo.environ import * model = m = ConcreteModel() m.x1 = Var(within=Reals,bounds=(0,None),initialize=40) m.x2 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x3 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x4 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x5 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x6 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x7 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x8 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x9 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x10 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x11 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x12 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x13 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x14 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x15 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x16 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x17 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x18 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x19 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x20 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x21 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x22 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x23 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x24 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x25 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x26 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x27 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x28 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x29 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x30 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x31 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x32 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x33 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x34 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x35 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x36 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x37 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x38 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x39 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x40 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x41 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x42 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x43 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x44 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x45 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x46 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x47 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x48 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x49 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x50 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x51 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x52 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x53 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x54 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x55 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x56 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x57 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x58 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x59 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x60 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x61 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x62 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x63 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x64 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x65 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x66 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x67 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x68 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x69 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x70 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x71 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x72 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x73 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x74 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x75 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x76 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x77 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x78 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x79 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x80 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x81 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x82 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x83 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x84 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x85 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x86 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x87 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x88 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x89 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x90 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x91 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x92 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x93 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x94 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x95 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x96 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x97 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x98 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x99 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x100 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x101 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x102 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x103 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x104 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x105 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x106 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x107 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x108 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x109 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x110 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x111 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x112 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x113 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x114 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x115 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x116 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x117 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x118 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x119 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x120 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x121 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x122 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x123 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x124 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x125 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x126 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x127 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x128 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x129 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x130 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x131 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x132 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x133 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x134 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x135 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x136 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x137 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x138 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x139 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x140 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x141 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x142 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x143 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x144 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x145 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x146 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x147 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x148 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x149 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x150 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x151 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x152 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x153 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x154 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x155 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x156 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x157 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x158 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x159 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x160 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x161 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x162 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x163 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x164 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x165 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x166 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x167 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x168 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x169 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x170 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x171 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x172 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x173 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x174 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x175 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x176 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x177 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x178 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x179 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x180 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x181 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x182 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x183 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x184 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x185 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x186 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x187 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x188 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x189 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x190 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x191 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x192 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x193 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x194 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x195 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x196 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x197 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x198 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x199 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x200 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x201 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x202 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x203 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x204 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x205 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x206 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x207 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x208 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x209 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x210 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x211 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x212 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x213 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x214 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x215 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x216 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x217 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x218 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x219 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x220 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x221 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x222 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x223 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x224 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x225 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x226 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x227 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x228 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x229 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x230 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x231 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x232 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x233 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x234 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x235 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x236 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x237 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x238 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x239 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x240 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x241 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x242 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x243 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x244 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x245 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x246 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x247 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x248 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x249 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x250 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x251 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x252 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x253 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x254 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x255 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x256 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x257 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x258 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x259 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x260 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x261 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x262 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x263 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x264 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x265 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x266 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x267 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x268 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x269 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x270 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x271 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x272 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x273 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x274 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x275 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x276 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x277 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x278 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x279 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x280 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x281 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x282 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x283 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x284 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x285 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x286 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x287 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x288 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x289 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x290 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x291 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x292 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x293 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x294 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x295 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x296 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x297 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x298 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x299 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x300 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x301 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x302 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x303 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x304 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x305 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x306 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x307 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x308 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x309 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x310 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x311 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x312 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x313 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x314 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x315 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x316 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x317 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x318 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x319 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x320 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x321 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x322 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x323 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x324 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x325 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x326 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x327 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x328 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x329 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x330 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x331 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x332 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x333 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x334 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x335 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x336 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x337 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x338 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x339 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x340 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x341 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x342 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x343 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x344 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x345 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x346 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x347 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x348 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x349 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x350 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x351 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x352 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x353 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x354 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x355 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x356 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x357 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x358 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x359 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x360 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x361 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x362 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x363 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x364 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x365 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x366 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x367 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x368 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x369 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x370 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x371 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x372 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x373 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x374 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x375 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x376 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x377 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x378 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x379 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x380 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x381 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x382 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x383 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x384 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x385 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x386 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x387 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x388 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x389 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x390 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x391 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x392 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x393 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x394 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x395 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x396 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x397 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x398 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x399 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x400 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x401 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x402 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x403 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x404 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x405 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x406 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x407 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x408 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x409 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x410 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x411 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x412 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x413 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x414 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x415 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x416 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x417 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x418 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x419 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x420 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x421 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x422 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x423 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x424 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x425 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x426 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x427 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x428 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x429 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x430 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x431 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x432 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x433 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x434 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x435 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x436 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x437 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x438 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x439 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x440 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x441 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x442 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x443 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x444 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x445 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x446 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x447 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x448 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x449 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x450 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x451 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x452 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x453 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x454 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x455 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x456 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x457 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x458 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x459 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x460 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x461 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x462 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x463 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x464 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x465 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x466 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x467 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x468 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x469 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x470 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x471 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x472 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x473 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x474 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x475 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x476 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x477 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x478 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x479 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x480 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x481 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x482 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x483 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x484 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x485 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x486 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x487 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x488 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x489 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x490 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x491 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x492 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x493 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x494 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x495 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x496 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x497 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x498 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x499 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x500 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x501 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x502 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x503 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x504 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x505 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x506 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x507 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x508 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x509 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.x510 = Var(within=Reals,bounds=(5E-5,None),initialize=0.05) m.obj = Objective(expr=-1000*(5.1896555300528e-7*log(100 + 0.77*m.x2*(3115.6025 + m.x1)/(0.000697151847870123 + m.x2) - m.x1) + 2.38853851131484e-6*log(100 + 0.77*m.x3*(3115.6025 + m.x1)/(0.00441135490801732 + m.x3) - m.x1) + 1.75006368705556e-6*log(100 + 0.77*m.x4*(3115.6025 + m.x1)/(0.000853304974954616 + m.x4) - m.x1) + 5.4205853966032e-7*log(116.725409814076 - 0.994631725384071*m.x1) + 1.28420497011416e-6*log(100 + 0.77*m.x5*(3115.6025 + m.x1)/(0.00111268459826716 + m.x5) - m.x1) + 1.13642040985436e-6*log(100 + 0.77*m.x6*(3115.6025 + m.x1)/(0.000326187439886633 + m.x6) - m.x1) + 8.3264643528916e-7*log(100 + 0.77*m.x7*(3115.6025 + m.x1)/(0.00019264225638747 + m.x7) - m.x1) + 2.5790096715064e-7*log(273.722164695496 - 0.944241229522862*m.x1) + 6.1099986822816e-7* log(100 + 0.77*m.x8*(3115.6025 + m.x1)/(0.000292444426062126 + m.x8) - m.x1) + 7.2368781007106e-6 *log(100 + 0.77*m.x9*(3115.6025 + m.x1)/(0.000340072769701281 + m.x9) - m.x1) + 2.24152501608832e-6*log(122.167672752509 - 0.992884948335833*m.x1) + 5.31045518239344e-6*log(100 + 0.77*m.x10*(3115.6025 + m.x1)/(0.000928640395934794 + m.x10) - m.x1) + 1.40112029745028e-6* log(100 + 0.77*m.x11*(3115.6025 + m.x1)/(0.000520524158336466 + m.x11) - m.x1) + 3.31943054456628e-6*log(100 + 0.77*m.x12*(3115.6025 + m.x1)/(0.000148520174019557 + m.x12) - m.x1 ) + 6.4780110964124e-7*log(100 + 0.77*m.x13*(3115.6025 + m.x1)/(0.00104750410938401 + m.x13) - m.x1) + 9.559575451052e-8*log(369.775187215178 - 0.913411551308237*m.x1) + 7.004225000328e-8*log( 463.468636910111 - 0.883339213872723*m.x1) + 2.169464931432e-8*log(448.707925466966 - 0.88807688867018*m.x1) + 5.139736486672e-8*log(809.359927930429 - 0.772320144199901*m.x1) + 5.8738086293776e-7*log(100 + 0.77*m.x14*(3115.6025 + m.x1)/(0.000494204879879725 + m.x14) - m.x1) + 1.8193327718832e-7*log(147.784367425591 - 0.984662880638467*m.x1) + 4.3102285130624e-7*log(100 + 0.77*m.x15*(3115.6025 + m.x1)/(0.000378101608644323 + m.x15) - m.x1) + 1.152774843986e-7*log( 439.112527740056 - 0.891156677483711*m.x1) + 2.7310693619852e-7*log(100 + 0.77*m.x16*(3115.6025 + m.x1)/(7.68864972863027e-5 + m.x16) - m.x1) + 5.447264353996e-8*log(642.105475210568 - 0.826003004166749*m.x1) + 2.4063538402192e-7*log(100 + 0.77*m.x17*(3115.6025 + m.x1)/( 0.000285184441727289 + m.x17) - m.x1) + 7.453356083372e-8*log(493.516505615775 - 0.873694893486645*m.x1) + 1.7657938873836e-7*log(100 + 0.77*m.x18*(3115.6025 + m.x1)/( 0.000288214605454492 + m.x18) - m.x1) + 4.7303472465e-8*log(440.16955630314 - 0.890817408092611* m.x1) + 1.120678412982e-7*log(295.420037315374 - 0.937276967355311*m.x1) + 2.2412317111e-8*log( 573.716341402481 - 0.847953536626549*m.x1) + 6.7932840206568e-7*log(100 + 0.77*m.x19*(3115.6025 + m.x1)/(0.000204377628677949 + m.x19) - m.x1) + 1.60941456154132e-6*log(100 + 0.77*m.x20*( 3115.6025 + m.x1)/(6.19657352352374e-5 + m.x20) - m.x1) + 3.1708525773332e-7*log(100 + 0.77*m.x21 *(3115.6025 + m.x1)/(0.000484370227279492 + m.x21) - m.x1) + 1.7433187894212e-7*log(100 + 0.77* m.x22*(3115.6025 + m.x1)/(2.04333582846966e-5 + m.x22) - m.x1) + 4.3774137231148e-7*log( 119.000522100771 - 0.993901493499004*m.x1) + 2.01470428953719e-6*log(103.022920309924 - 0.999029747758283*m.x1) + 1.47615824512421e-6*log(115.545995934311 - 0.99501027620362*m.x1) + 4.5722003637812e-7*log(101.873352153701 - 0.99939871913901*m.x1) + 1.08321186770806e-6*log( 111.940081528697 - 0.996167649265689*m.x1) + 9.5855732013751e-7*log(140.246799210435 - 0.987082177777674*m.x1) + 7.0232752660181e-7*log(167.363613619287 - 0.978378623839438*m.x1) + 2.1753644847374e-7*log(120.667450462708 - 0.993366467492979*m.x1) + 5.1537124044456e-7*log( 144.803854659423 - 0.985619521534142*m.x1) + 6.10422200994085e-6*log(100 + 0.77*m.x23*(3115.6025 + m.x1)/(0.00305512052568459 + m.x23) - m.x1) + 1.89070012630112e-6*log(102.487967250958 - 0.999201449077359*m.x1) + 4.47930681656604e-6*log(100 + 0.77*m.x24*(3115.6025 + m.x1)/( 0.0083426507129411 + m.x24) - m.x1) + 1.18182857846273e-6*log(125.379696264084 - 0.991854000545935*m.x1) + 2.79990082859373e-6*log(100 + 0.77*m.x25*(3115.6025 + m.x1)/( 0.00133426452380755 + m.x25) - m.x1) + 5.4641265701959e-7*log(112.679121242756 - 0.995930443231203*m.x1) + 8.063390050507e-8*log(133.363509020125 - 0.989291474435482*m.x1) + 5.907981841698e-8*log(146.753601064768 - 0.984993720776393*m.x1) + 1.829918287962e-8*log( 144.573259758642 - 0.985693534474105*m.x1) + 4.335307594052e-8*log(207.104998133011 - 0.965623022149645*m.x1) + 4.9544888581316e-7*log(126.716260334795 - 0.991425009982886*m.x1) + 1.5345859077612e-7*log(105.414841252999 - 0.998262024358692*m.x1) + 3.6356273231584e-7*log( 134.800988433026 - 0.988830093558782*m.x1) + 9.723520939885e-8*log(143.170525043829 - 0.986143763511607*m.x1) + 2.3036250546307e-7*log(261.936397566447 - 0.948024050704014*m.x1) + 4.594703752211e-8*log(175.505916825191 - 0.975765227809006*m.x1) + 2.0297313110372e-7*log( 145.922600022893 - 0.985260443197458*m.x1) + 6.286818655627e-8*log(151.27829160512 - 0.983541452542447*m.x1) + 1.4894264850651e-7*log(145.448936430143 - 0.985412472730349*m.x1) + 3.989992559625e-8*log(143.324491011074 - 0.986094345793125*m.x1) + 9.452791299495e-8*log( 123.450262944899 - 0.992473281509788*m.x1) + 1.890452726975e-8*log(163.953187166908 - 0.979473252070215*m.x1) + 5.7300555932538e-7*log(163.598133703279 - 0.979587211878512*m.x1) + 1.35752235328037e-6*log(100 + 0.77*m.x26*(3115.6025 + m.x1)/(0.000556683176287833 + m.x26) - m.x1 ) + 2.6745770515237e-7*log(127.252545117543 - 0.991252881226812*m.x1) + 1.4704690028817e-7*log( 100 + 0.77*m.x27*(3115.6025 + m.x1)/(0.000183567688642283 + m.x27) - m.x1) + 8.573813856476e-8* log(175.098075010055 - 0.975896130841449*m.x1) + 3.9460970899603e-7*log(112.189454534394 - 0.996087609207402*m.x1) + 2.8912748067577e-7*log(161.708775393222 - 0.980193630158783*m.x1) + 8.955332375044e-8*log(107.565006489971 - 0.997571896129249*m.x1) + 2.1216310607822e-7*log( 147.609223184625 - 0.984719095845948*m.x1) + 1.8774766456787e-7*log(254.987449685228 - 0.950254421196148*m.x1) + 1.3756126014697e-7*log(351.179935246506 - 0.919379980197568*m.x1) + 4.260773904838e-8*log(181.517913158427 - 0.973835586164016*m.x1) + 1.0094309932872e-7*log( 271.59122797394 - 0.944925186067883*m.x1) + 1.19560239361145e-6*log(249.052415932832 - 0.952159360530481*m.x1) + 3.7032165490144e-7*log(110.039136596835 - 0.99677778644842*m.x1) + 8.7733865886348e-7*log(156.821256781618 - 0.981762353579567*m.x1) + 2.3147865116101e-7*log( 199.523689768056 - 0.968056358355068*m.x1) + 5.4840209400801e-7*log(415.971843439801 - 0.898584032000295*m.x1) + 1.0702302104483e-7*log(150.509314160132 - 0.983788267546925*m.x1) + 1.579334504759e-8*log(229.558267186124 - 0.958416304009859*m.x1) + 1.157165846826e-8*log( 278.639758958691 - 0.942662852864352*m.x1) + 3.58416630594e-9*log(270.755418624658 - 0.945193451788327*m.x1) + 8.49134275924e-9*log(481.615742418209 - 0.877514624404683*m.x1) + 9.704101076692e-8*log(204.592823836379 - 0.966429342691701*m.x1) + 3.005714047644e-8*log( 121.768604799103 - 0.993013035263933*m.x1) + 7.120915200608e-8*log(234.90398420317 - 0.956700514843222*m.x1) + 1.904495755745e-8*log(265.661094609679 - 0.946828552548126*m.x1) + 4.511991249359e-8*log(643.645574905152 - 0.825508685750139*m.x1) + 8.99940859807e-9*log( 378.882844396923 - 0.910488310239537*m.x1) + 3.975529739764e-8*log(275.639640374999 - 0.943625786545299*m.x1) + 1.231366654199e-8*log(294.870657652889 - 0.937453299112166*m.x1) + 2.917262622087e-8*log(273.926918368189 - 0.944175510718011*m.x1) + 7.81499206125e-9*log( 266.221094994647 - 0.946648811908885*m.x1) + 1.851469341315e-8*log(192.176519000713 - 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m.x1) + 5.842450315636e-7*log(100 + 0.77*m.x194*(3115.6025 + m.x1)/(0.000544580404908056 + m.x194) - m.x1 ) + 1.3841500527984e-6*log(100 + 0.77*m.x195*(3115.6025 + m.x1)/(0.00024865868170142 + m.x195) - m.x1) + 1.6394316473819e-5*log(100 + 0.77*m.x196*(3115.6025 + m.x1)/(0.000289155952586038 + m.x196) - m.x1) + 5.0779175752768e-6*log(100 + 0.77*m.x197*(3115.6025 + m.x1)/( 0.00455838781941915 + m.x197) - m.x1) + 1.20302265242856e-5*log(100 + 0.77*m.x198*(3115.6025 + m.x1)/(0.000789601291900758 + m.x198) - m.x1) + 3.1740771717622e-6*log(100 + 0.77*m.x199*( 3115.6025 + m.x1)/(0.000442589563933731 + m.x199) - m.x1) + 7.5197887961022e-6*log(100 + 0.77* m.x200*(3115.6025 + m.x1)/(0.000126283243538118 + m.x200) - m.x1) + 1.4675190400826e-6*log(100 + 0.77*m.x201*(3115.6025 + m.x1)/(0.000890668337993608 + m.x201) - m.x1) + 2.165612065298e-7*log( 100 + 0.77*m.x202*(3115.6025 + m.x1)/(0.00033554644284477 + m.x202) - m.x1) + 1.586726758572e-7* log(100 + 0.77*m.x203*(3115.6025 + m.x1)/(0.000238091619980701 + m.x203) - m.x1) + 4.91467372668e-8*log(499.876211729988 - 0.871653649099977*m.x1) + 1.164348291928e-7*log(100 + 0.77*m.x204*(3115.6025 + m.x1)/(0.00010126547675015 + m.x204) - m.x1) + 1.3306439080024e-6*log( 100 + 0.77*m.x205*(3115.6025 + m.x1)/(0.00042021089468532 + m.x205) - m.x1) + 4.121489517768e-7* log(156.002187849084 - 0.982025246208692*m.x1) + 9.764327840576e-7*log(100 + 0.77*m.x206*( 3115.6025 + m.x1)/(0.000321490988290235 + m.x206) - m.x1) + 2.61147905939e-7*log(100 + 0.77* m.x207*(3115.6025 + m.x1)/(0.000258245570474664 + m.x207) - m.x1) + 6.186924086498e-7*log(100 + 0.77*m.x208*(3115.6025 + m.x1)/(6.53747972334079e-5 + m.x208) - m.x1) + 1.234015199554e-7*log(100 + 0.77*m.x209*(3115.6025 + m.x1)/(0.000145625349881665 + m.x209) - m.x1) + 5.451318352408e-7* log(100 + 0.77*m.x210*(3115.6025 + m.x1)/(0.000242485686174776 + m.x210) - m.x1) + 1.688472248978e-7*log(100 + 0.77*m.x211*(3115.6025 + m.x1)/(0.000216665337347236 + m.x211) - m.x1 ) + 4.000203321714e-7*log(100 + 0.77*m.x212*(3115.6025 + m.x1)/(0.000245062163791024 + m.x212) - m.x1) + 1.07160585975e-7*log(490.323466912148 - 0.874719747813738*m.x1) + 2.53876827993e-7*log( 100 + 0.77*m.x213*(3115.6025 + m.x1)/(0.000479394172170398 + m.x213) - m.x1) + 5.0772531265e-8* log(638.410997400727 - 0.82718880300015*m.x1) + 1.5389405014332e-6*log(100 + 0.77*m.x214*( 3115.6025 + m.x1)/(0.000173777535789056 + m.x214) - m.x1) + 3.6459439128718e-6*log(100 + 0.77* m.x215*(3115.6025 + m.x1)/(5.26880209061672e-5 + m.x215) - m.x1) + 7.183202469518e-7*log(100 + 0.77*m.x216*(3115.6025 + m.x1)/(0.000411848718720832 + m.x216) - m.x1) + 3.949288567638e-7*log( 100 + 0.77*m.x217*(3115.6025 + m.x1)/(1.73740084645212e-5 + m.x217) - m.x1) + 2.3027003834052e-7* log(310.644288882208 - 0.932390512306301*m.x1) + 1.05981765339381e-6*log(135.946817505807 - 0.988462322293743*m.x1) + 7.7652019480479e-7*log(274.907218484447 - 0.943860868488696*m.x1) + 2.4051662000988e-7*log(122.393839487144 - 0.992812356683131*m.x1) + 5.6981417358594e-7*log( 236.453447120506 - 0.956203191157888*m.x1) + 5.0424073396149e-7*log(509.329744330999 - 0.868619394055885*m.x1) + 3.6945328156719e-7*log(719.780347180692 - 0.801072072839622*m.x1) + 1.1443315505226e-7*log(327.517012158458 - 0.926974955194555*m.x1) + 2.7110655469944e-7*log( 547.744519196025 - 0.856289587906023*m.x1) + 3.21107285072415e-6*log(495.371037182199 - 0.873099653379339*m.x1) + 9.9458634278688e-7*log(129.657584748611 - 0.990480947184819*m.x1) + 2.35630035822996e-6*log(261.674211430671 - 0.948108203331243*m.x1) + 6.2169063581427e-7*log( 373.959049138861 - 0.912068677201645*m.x1) + 1.47286345758327e-6*log(846.602134340364 - 0.760366691726443*m.x1) + 2.8743562167141e-7*log(244.433016330596 - 0.953642027078038*m.x1) + 4.241676143793e-8*log(448.653645634299 - 0.888094310607884*m.x1) + 3.107842418502e-8*log( 563.774842073764 - 0.851144412012199*m.x1) + 9.62612585838e-9*log(545.832820860844 - 0.856903176557072*m.x1) + 2.280550820748e-8*log(964.57779102352 - 0.722500610708998*m.x1) + 2.6062657347084e-7*log(386.804719169038 - 0.90794566406689*m.x1) + 8.072555581188e-8*log( 163.697577366872 - 0.979555293922485*m.x1) + 1.9124901050016e-7*log(461.599091032222 - 0.88393927305161*m.x1) + 5.114973546615e-8*log(534.130728924762 - 0.860659140912629*m.x1) + 1.2118019067993e-7*log(1218.02524091695 - 0.641152797599519*m.x1) + 2.417003911689e-8*log( 775.353772232083 - 0.783234936988245*m.x1) + 1.0677224872428e-7*log(556.971636607364 - 0.853328004260054*m.x1) + 3.307126226673e-8*log(600.07781259564 - 0.839492421579569*m.x1) + 7.834998369249e-8*log(553.074587453001 - 0.854578821446895*m.x1) + 2.098900852875e-8*log( 535.421327803972 - 0.860244903576765*m.x1) + 4.972558576005e-8*log(355.163421699796 - 0.918101419645222*m.x1) + 9.94456200525e-9*log(695.545998372881 - 0.808850455610791*m.x1) + 3.0142458643662e-7*log(692.989141812062 - 0.809671117605002*m.x1) + 7.1411281663263e-7*log( 1347.27032802532 - 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2.205820618312e-7* log(100 + 0.77*m.x236*(3115.6025 + m.x1)/(4.68187059871874e-5 + m.x236) - m.x1) + 2.5208623469896e-6*log(100 + 0.77*m.x237*(3115.6025 + m.x1)/(0.000194278750885906 + m.x237) - m.x1) + 7.808030139672e-7*log(100 + 0.77*m.x238*(3115.6025 + m.x1)/(0.000967158090120206 + m.x238 ) - m.x1) + 1.8498206957504e-6*log(100 + 0.77*m.x239*(3115.6025 + m.x1)/(0.000148636954481809 + m.x239) - m.x1) + 4.94736359681e-7*log(100 + 0.77*m.x240*(3115.6025 + m.x1)/(0.000119396301924079 + m.x240) - m.x1) + 1.1720929904342e-6*log(100 + 0.77*m.x241*(3115.6025 + m.x1)/( 3.02251419621976e-5 + m.x241) - m.x1) + 2.337802347766e-7*log(100 + 0.77*m.x242*(3115.6025 + m.x1 )/(6.73278856644583e-5 + m.x242) - m.x1) + 1.0327348356232e-6*log(100 + 0.77*m.x243*(3115.6025 + m.x1)/(0.000112109935305285 + m.x243) - m.x1) + 3.198756700262e-7*log(100 + 0.77*m.x244*( 3115.6025 + m.x1)/(0.000100172250725714 + m.x244) - m.x1) + 7.578257318406e-7*log(100 + 0.77* m.x245*(3115.6025 + m.x1)/(0.0001133011344372 + 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9.41103618516721e-6*log(100 + 0.77* m.x265*(3115.6025 + m.x1)/(8.63199500184675e-5 + m.x265) - m.x1) + 2.22959306391542e-5*log(100 + 0.77*m.x266*(3115.6025 + m.x1)/(2.46295081463161e-5 + m.x266) - m.x1) + 4.35114650377943e-6*log( 100 + 0.77*m.x267*(3115.6025 + m.x1)/(0.000173710481863398 + m.x267) - m.x1) + 6.4209697517339e-7 *log(100 + 0.77*m.x268*(3115.6025 + m.x1)/(6.54429171754531e-5 + m.x268) - m.x1) + 4.7045935346946e-7*log(100 + 0.77*m.x269*(3115.6025 + m.x1)/(4.64359271237298e-5 + m.x269) - m.x1 ) + 1.4571848690874e-7*log(100 + 0.77*m.x270*(3115.6025 + m.x1)/(4.87525300074436e-5 + m.x270) - m.x1) + 3.4522550380804e-7*log(100 + 0.77*m.x271*(3115.6025 + m.x1)/(1.97501965793709e-5 + m.x271 ) - m.x1) + 3.94531616281732e-6*log(100 + 0.77*m.x272*(3115.6025 + m.x1)/(8.19553518254294e-5 + m.x272) - m.x1) + 1.22200831578924e-6*log(100 + 0.77*m.x273*(3115.6025 + m.x1)/( 0.000407989968975871 + m.x273) - m.x1) + 2.89509163321568e-6*log(100 + 0.77*m.x274*(3115.6025 + 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0.77*m.x469*(3115.6025 + m.x1)/(6.821854615363e-5 + m.x469) - m.x1) + 6.788118660153e-7*log(100 + 0.77*m.x470*(3115.6025 + m.x1)/(0.000127097454183856 + m.x470) - m.x1) + 1.357547948065e-7*log(100 + 0.77*m.x471*(3115.6025 + m.x1)/(4.58093240639472e-5 + m.x471) - m.x1) + 4.11479488586172e-6*log(100 + 0.77*m.x472*(3115.6025 + m.x1)/(4.60720711166307e-5 + m.x472) - m.x1) + 9.74846743772878e-6*log(100 + 0.77*m.x473*(3115.6025 + m.x1)/( 1.39686998964588e-5 + m.x473) - m.x1) + 1.92063336809678e-6*log(100 + 0.77*m.x474*(3115.6025 + m.x1)/(0.000109189737166214 + m.x474) - m.x1) + 1.05595456002198e-6*log(100 + 0.77*m.x475*( 3115.6025 + m.x1)/(4.60621420325593e-6 + m.x475) - m.x1) + 6.944196785648e-8*log(438.328502947439 - 0.891408322163229*m.x1) + 3.1960659732844e-7*log(160.672269148748 - 0.98052631259965*m.x1) + 2.3417328105796e-7*log(383.737721647126 - 0.908930063560058*m.x1) + 7.253200423312e-8*log( 137.946787402231 - 0.987820401542806*m.x1) + 1.7183745576056e-7*log(323.76453259191 - 0.928179370573778*m.x1) + 1.5206263520876e-7*log(723.154378888364 - 0.799989126055598*m.x1) + 1.1141511543556e-7*log(994.136523516822 - 0.713013286028361*m.x1) + 3.450932449624e-8*log( 463.72887675709 - 0.883255685936479*m.x1) + 8.175693543456e-8*log(774.830149075393 - 0.783403001802896*m.x1) + 9.683553244346e-7*log(704.117904521328 - 0.806099171983163*m.x1) + 2.9993495178112e-7*log(150.148891888383 - 0.983903950555829*m.x1) + 7.1058369085104e-7*log( 363.245448869307 - 0.915507370125263*m.x1) + 1.8748171260148e-7*log(532.438202944837 - 0.861202382863399*m.x1) + 4.4416780235748e-7*log(1144.15218362596 - 0.664863478692818*m.x1) + 8.668125191084e-8*log(336.316624140497 - 0.924150585917011*m.x1) + 1.279151819132e-8*log( 639.374735800217 - 0.826879476505679*m.x1) + 9.37224377448e-9*log(796.090332382495 - 0.776579222676033*m.x1) + 2.90292704712e-9*log(772.282933330948 - 0.784220569430488*m.x1) + 6.87740089552e-9*log(1275.69246176927 - 0.622643626146379*m.x1) + 7.859651332816e-8*log( 551.137259264743 - 0.855200636389031*m.x1) + 2.434420688112e-8*log(206.64947926604 - 0.965769227856879*m.x1) + 5.767449267584e-8*log(657.476234564291 - 0.821069525215655*m.x1) + 1.54250996426e-8*log(756.635274889761 - 0.789242923354388*m.x1) + 3.654401139932e-8*log( 1535.04726916935 - 0.5393997568145*m.x1) + 7.28889911836e-9*log(1061.02290920942 - 0.691545083427869*m.x1) + 3.219904385872e-8*log(787.089182577275 - 0.779468278582626*m.x1) + 9.97321904252e-9*log(843.590944378369 - 0.761333178934614*m.x1) + 2.362781145276e-8*log( 781.918774588875 - 0.781127799650669*m.x1) + 6.329603565e-9*log(758.365707096016 - 0.788687514823853*m.x1) + 1.49956223262e-8*log(504.84109778787 - 0.870060093420817*m.x1) + 2.998957051e-9*log(964.386178144426 - 0.722562111776317*m.x1) + 9.089986953288e-8*log( 961.226291333032 - 0.723576325499472*m.x1) + 2.1535324185412e-7*log(1656.41268033145 - 0.500445682550503*m.x1) + 4.242868172612e-8*log(558.546332794591 - 0.852822581573037*m.x1) + 2.332707568692e-8*log(2135.61678696677 - 0.34663783747549*m.x1) + 1.0868132303496e-7*log( 952.855197136797 - 0.726263155477377*m.x1) + 5.0020569578538e-7*log(292.358397193926 - 0.938259647309332*m.x1) + 3.6649684319742e-7*log(845.268759609223 - 0.760794658622458*m.x1) + 1.1351743658424e-7*log(222.900839352747 - 0.960553106709618*m.x1) + 2.6893710843012e-7*log( 716.158724669567 - 0.802234487657021*m.x1) + 2.3798819199402e-7*log(1397.99930308635 - 0.583387385558217*m.x1) + 1.7437210559262e-7*log(1698.31981573055 - 0.486994950180406*m.x1) + 5.400940035348e-8*log(1000.01299130032 - 0.711127144332334*m.x1) + 1.2795507075312e-7*log( 1462.69503446476 - 0.562622306772202*m.x1) + 1.5155408332467e-6*log(1373.12671852222 - 0.591370619800755*m.x1) + 4.6941825513024e-7*log(260.562902565146 - 0.948464894810828*m.x1) + 1.11211099040808e-6*log(802.513881672884 - 0.774517486851136*m.x1) + 2.9342141646246e-7*log( 1119.29289935334 - 0.672842444004541*m.x1) + 6.9515231062446e-7*log(1830.61326417666 - 0.444533356172151*m.x1) + 1.3566195531018e-7*log(744.203496969942 - 0.793233091522445*m.x1) + 2.001958129314e-8*log(1283.98039223831 - 0.619983488831353*m.x1) + 1.466818819596e-8*log( 1488.17838576561 - 0.554443037657848*m.x1) + 4.54327493724e-9*log(1459.59879689333 - 0.563616091303903*m.x1) + 1.076359226904e-8*log(1931.71652847139 - 0.412082726062971*m.x1) + 1.2300879883032e-7*log(1149.82151209152 - 0.663043821510761*m.x1) + 3.810031158024e-8*log( 424.287526310851 - 0.895914987129825*m.x1) + 9.026443752768e-8*log(1309.64325245314 - 0.611746603601347*m.x1) + 2.41413123627e-8*log(1440.37165493351 - 0.569787334894773*m.x1) + 5.719382140914e-8*log(2099.27686813522 - 0.358301687029966*m.x1) + 1.140761450322e-8*log( 1759.78384606747 - 0.467267134986742*m.x1) + 5.039365667544e-8*log(1477.46685899388 - 0.55788106506081*m.x1) + 1.560875467554e-8*log(1542.89054316818 - 0.536882338755287*m.x1) + 3.697910483202e-8*log(1471.26264848806 - 0.559872400767407*m.x1) + 9.9062528175e-9*log( 1442.51559884057 - 0.56909920349577*m.x1) + 2.34691516449e-8*log(1072.76969944935 - 0.687774772471984*m.x1) + 4.6935683145e-9*log(1669.57680330368 - 0.496220457101417*m.x1) + 1.4226437397276e-7*log(1666.47040697755 - 0.497217502239919*m.x1) + 3.3704222341374e-7*log( 2166.0852268286 - 0.336858528381396*m.x1) + 6.640372395774e-8*log(1161.70370083739 - 0.659230052345448*m.x1) + 3.650843324934e-8*log(2377.97102001738 - 0.268850561001483*m.x1) + 2.34922704076588e-6*log(100 + 0.77*m.x476*(3115.6025 + m.x1)/(0.000455053041852194 + m.x476) - m.x1) + 1.08123154344204e-5*log(100 + 0.77*m.x477*(3115.6025 + m.x1)/(0.00287943075201725 + m.x477) - m.x1) + 7.92209986363301e-6*log(100 + 0.77*m.x478*(3115.6025 + m.x1)/( 0.000556979122506819 + m.x478) - m.x1) + 2.45376320581172e-6*log(100 + 0.77*m.x479*(3115.6025 + m.x1)/(0.00464860058445214 + m.x479) - m.x1) + 5.81327416474486e-6*log(100 + 0.77*m.x480*( 3115.6025 + m.x1)/(0.000726284399317671 + m.x480) - m.x1) + 5.14429048527031e-6*log(100 + 0.77* m.x481*(3115.6025 + m.x1)/(0.000212912849887539 + m.x481) - m.x1) + 3.76918180763861e-6*log(100 + 0.77*m.x482*(3115.6025 + m.x1)/(0.000125743688446365 + m.x482) - m.x1) + 1.16745306574094e-6* log(100 + 0.77*m.x483*(3115.6025 + m.x1)/(0.000418057838534042 + m.x483) - m.x1) + 2.76584332820136e-6*log(100 + 0.77*m.x484*(3115.6025 + m.x1)/(0.000190887718448796 + m.x484) - m.x1) + 3.27595340894288e-5*log(100 + 0.77*m.x485*(3115.6025 + m.x1)/(0.0002219762434489 + m.x485 ) - m.x1) + 1.01468221731747e-5*log(100 + 0.77*m.x486*(3115.6025 + m.x1)/(0.0034993358956939 + m.x486) - m.x1) + 2.40391001695772e-5*log(100 + 0.77*m.x487*(3115.6025 + m.x1)/( 0.000606152932460819 + m.x487) - m.x1) + 6.34252056051713e-6*log(100 + 0.77*m.x488*(3115.6025 + m.x1)/(0.00033976256726883 + m.x488) - m.x1) + 1.50262304503281e-5*log(100 + 0.77*m.x489*( 3115.6025 + m.x1)/(9.6943810979624e-5 + m.x489) - m.x1) + 2.93243332817479e-6*log(100 + 0.77* m.x490*(3115.6025 + m.x1)/(0.000683739034450168 + m.x490) - m.x1) + 4.3273803083467e-7*log(100 + 0.77*m.x491*(3115.6025 + m.x1)/(0.000257588813991856 + m.x491) - m.x1) + 3.1706371791138e-7*log( 100 + 0.77*m.x492*(3115.6025 + m.x1)/(0.000182775706075957 + m.x492) - m.x1) + 9.820624223322e-8* log(100 + 0.77*m.x493*(3115.6025 + m.x1)/(0.000191894049436265 + m.x493) - m.x1) + 2.3266299404612e-7*log(100 + 0.77*m.x494*(3115.6025 + m.x1)/(7.77384311788353e-5 + m.x494) - m.x1 ) + 2.65892600857796e-6*log(100 + 0.77*m.x495*(3115.6025 + m.x1)/(0.00032258314250264 + m.x495) - m.x1) + 8.2356636564972e-7*log(100 + 0.77*m.x496*(3115.6025 + m.x1)/(0.00160588275652981 + m.x496) - m.x1) + 1.95113246267104e-6*log(100 + 0.77*m.x497*(3115.6025 + m.x1)/( 0.000246798868379189 + m.x497) - m.x1) + 5.2183229112685e-7*log(100 + 0.77*m.x498*(3115.6025 + m.x1)/(0.000198247281816642 + m.x498) - m.x1) + 1.23628667803267e-6*log(100 + 0.77*m.x499*( 3115.6025 + m.x1)/(5.01862464746856e-5 + m.x499) - m.x1) + 2.4658401014291e-7*log(100 + 0.77* m.x500*(3115.6025 + m.x1)/(0.000111792158620858 + m.x500) - m.x1) + 1.08929609650532e-6*log(100 + 0.77*m.x501*(3115.6025 + m.x1)/(0.000186148897250143 + m.x501) - m.x1) + 3.3739475682187e-7* log(100 + 0.77*m.x502*(3115.6025 + m.x1)/(0.000166327399591117 + m.x502) - m.x1) + 7.9933065395931e-7*log(100 + 0.77*m.x503*(3115.6025 + m.x1)/(0.000188126780871317 + m.x503) - m.x1) + 2.1413096879625e-7*log(100 + 0.77*m.x504*(3115.6025 + m.x1)/(0.000197529843021106 + m.x504) - m.x1) + 5.0730304093095e-7*log(100 + 0.77*m.x505*(3115.6025 + m.x1)/( 0.000368016347296246 + m.x505) - m.x1) + 1.0145494454975e-7*log(100 + 0.77*m.x506*(3115.6025 + m.x1)/(0.000132642940980837 + m.x506) - m.x1) + 3.07514948237178e-6*log(100 + 0.77*m.x507*( 3115.6025 + m.x1)/(0.000133403736790733 + m.x507) - m.x1) + 7.28541650959397e-6*log(100 + 0.77* m.x508*(3115.6025 + m.x1)/(4.04469935718446e-5 + m.x508) - m.x1) + 1.43536552162597e-6*log(100 + 0.77*m.x509*(3115.6025 + m.x1)/(0.000316163753964881 + m.x509) - m.x1) + 7.8915674018577e-7*log( 100 + 0.77*m.x510*(3115.6025 + m.x1)/(1.33374986684954e-5 + m.x510) - m.x1) + 1.7351096111916e-7* log(1756.34518082976 - 0.468370826885087*m.x1) + 7.9858404930423e-7*log(725.200186930332 - 0.799332492854807*m.x1) + 5.8511635425957e-7*log(1648.94114589024 - 0.502843785145813*m.x1) + 1.8123187108404e-7*log(529.899097644463 - 0.862017347320634*m.x1) + 4.2936113456502e-7*log( 1498.32765799351 - 0.551185474400694*m.x1) + 3.7995083952567e-7*log(2083.00079499621 - 0.363525740207165*m.x1) + 2.7838703825877e-7*log(2234.54546771311 - 0.314885173024123*m.x1) + 8.622661836558e-8*log(1799.10804348668 - 0.454645435838916*m.x1) + 2.0428171728552e-7*log( 2119.22302589951 - 0.351899664382889*m.x1) + 2.41957807697445e-6*log(2068.46991167032 - 0.368189648175491*m.x1) + 7.4943155217504e-7*log(639.346029121697 - 0.826888690350679*m.x1) + 1.77549777117468e-6*log(1601.95443552502 - 0.517924884344193*m.x1) + 4.6845060919041e-7*log( 1897.31212561191 - 0.423125342333654*m.x1) + 1.10981852421741e-6*log(2289.83683300728 - 0.297138568540986*m.x1) + 2.1658584562503e-7*log(1533.35146924954 - 0.539944049586061*m.x1) + 3.196148790219e-8*log(2013.37867265892 - 0.385872019084936*m.x1) + 2.341792831266e-8*log( 2132.89963200708 - 0.347509949678408*m.x1) + 7.25338980954e-9*log(2117.53920216988 - 0.352440113214097*m.x1) + 1.718419676484e-8*log(2328.32819868025 - 0.28478417940663*m.x1) + 1.9638493823172e-7*log(1920.39808889742 - 0.415715551358873*m.x1) + 6.082757825004e-8*log( 1029.01261405065 - 0.701819274425846*m.x1) + 1.4410819516128e-7*log(2029.74189826765 - 0.380619992997292*m.x1) + 3.854187816045e-8*log(2106.97326999007 - 0.355831409818786*m.x1) + 9.131058258819e-8*log(2385.97240833931 - 0.266282393745893*m.x1) + 1.821238554387e-8*log( 2260.97728055389 - 0.306401480755683*m.x1) + 8.045404269924e-8*log(2127.19009521653 - 0.3493425123338*m.x1) + 2.491955333259e-8*log(2161.20757843742 - 0.338424083804843*m.x1) + 5.903755899867e-8*log(2123.85717760185 - 0.350412262924476*m.x1) + 1.581544463625e-8*log( 2108.16088165946 - 0.355450227793995*m.x1) + 3.746876597415e-8*log(1860.5916573208 - 0.434911335024029*m.x1) + 7.49333488575e-9*log(2221.71201851028 - 0.319004263698504*m.x1) + 2.2712668167546e-7*log(2220.3062861031 - 0.319455454890955*m.x1) + 5.3809172072229e-7*log( 2407.06872653783 - 0.259511209617455*m.x1) + 1.0601429614629e-7*log(1929.17750011989 - 0.412897665822297*m.x1) + 5.828612649489e-8*log(2467.89538756556 - 0.239987967795776*m.x1)) , sense=minimize) m.c2 = Constraint(expr= m.x1 - m.x2 - m.x3 - m.x4 - m.x5 - m.x6 - m.x7 - m.x8 - m.x9 - m.x10 - m.x11 - m.x12 - m.x13 - m.x14 - m.x15 - m.x16 - m.x17 - m.x18 - m.x19 - m.x20 - m.x21 - m.x22 - m.x23 - m.x24 - m.x25 - m.x26 - m.x27 - m.x28 - m.x29 - m.x30 - m.x31 - m.x32 - m.x33 - m.x34 - m.x35 - m.x36 - m.x37 - m.x38 - m.x39 - m.x40 - m.x41 - m.x42 - m.x43 - m.x44 - m.x45 - m.x46 - m.x47 - m.x48 - m.x49 - m.x50 - m.x51 - m.x52 - m.x53 - m.x54 - m.x55 - m.x56 - m.x57 - m.x58 - m.x59 - m.x60 - m.x61 - m.x62 - m.x63 - m.x64 - m.x65 - m.x66 - m.x67 - m.x68 - m.x69 - m.x70 - m.x71 - m.x72 - m.x73 - m.x74 - m.x75 - m.x76 - m.x77 - m.x78 - m.x79 - m.x80 - m.x81 - m.x82 - m.x83 - m.x84 - m.x85 - m.x86 - m.x87 - m.x88 - m.x89 - m.x90 - m.x91 - m.x92 - m.x93 - m.x94 - m.x95 - m.x96 - m.x97 - m.x98 - m.x99 - m.x100 - m.x101 - m.x102 - m.x103 - m.x104 - m.x105 - m.x106 - m.x107 - m.x108 - m.x109 - m.x110 - m.x111 - m.x112 - m.x113 - m.x114 - m.x115 - m.x116 - m.x117 - m.x118 - m.x119 - m.x120 - m.x121 - m.x122 - m.x123 - m.x124 - m.x125 - m.x126 - m.x127 - m.x128 - m.x129 - m.x130 - m.x131 - m.x132 - m.x133 - m.x134 - m.x135 - m.x136 - m.x137 - m.x138 - m.x139 - m.x140 - m.x141 - m.x142 - m.x143 - m.x144 - m.x145 - m.x146 - m.x147 - m.x148 - m.x149 - m.x150 - m.x151 - m.x152 - m.x153 - m.x154 - m.x155 - m.x156 - m.x157 - m.x158 - m.x159 - m.x160 - m.x161 - m.x162 - m.x163 - m.x164 - m.x165 - m.x166 - m.x167 - m.x168 - m.x169 - m.x170 - m.x171 - m.x172 - m.x173 - m.x174 - m.x175 - m.x176 - m.x177 - m.x178 - m.x179 - m.x180 - m.x181 - m.x182 - m.x183 - m.x184 - m.x185 - m.x186 - m.x187 - m.x188 - m.x189 - m.x190 - m.x191 - m.x192 - m.x193 - m.x194 - m.x195 - m.x196 - m.x197 - m.x198 - m.x199 - m.x200 - m.x201 - m.x202 - m.x203 - m.x204 - m.x205 - m.x206 - m.x207 - m.x208 - m.x209 - m.x210 - m.x211 - m.x212 - m.x213 - m.x214 - m.x215 - m.x216 - m.x217 - m.x218 - m.x219 - m.x220 - m.x221 - m.x222 - m.x223 - m.x224 - m.x225 - m.x226 - m.x227 - m.x228 - m.x229 - m.x230 - m.x231 - m.x232 - m.x233 - m.x234 - m.x235 - m.x236 - m.x237 - m.x238 - m.x239 - m.x240 - m.x241 - m.x242 - m.x243 - m.x244 - m.x245 - m.x246 - m.x247 - m.x248 - m.x249 - m.x250 - m.x251 - m.x252 - m.x253 - m.x254 - m.x255 - m.x256 - m.x257 - m.x258 - m.x259 - m.x260 - m.x261 - m.x262 - m.x263 - m.x264 - m.x265 - m.x266 - m.x267 - m.x268 - m.x269 - m.x270 - m.x271 - m.x272 - m.x273 - m.x274 - m.x275 - m.x276 - m.x277 - m.x278 - m.x279 - m.x280 - m.x281 - m.x282 - m.x283 - m.x284 - m.x285 - 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m.x397 - m.x398 - m.x399 - m.x400 - m.x401 - m.x402 - m.x403 - m.x404 - m.x405 - m.x406 - m.x407 - m.x408 - m.x409 - m.x410 - m.x411 - m.x412 - m.x413 - m.x414 - m.x415 - m.x416 - m.x417 - m.x418 - m.x419 - m.x420 - m.x421 - m.x422 - m.x423 - m.x424 - m.x425 - m.x426 - m.x427 - m.x428 - m.x429 - m.x430 - m.x431 - m.x432 - m.x433 - m.x434 - m.x435 - m.x436 - m.x437 - m.x438 - m.x439 - m.x440 - m.x441 - m.x442 - m.x443 - m.x444 - m.x445 - m.x446 - m.x447 - m.x448 - m.x449 - m.x450 - m.x451 - m.x452 - m.x453 - m.x454 - m.x455 - m.x456 - m.x457 - m.x458 - m.x459 - m.x460 - m.x461 - m.x462 - m.x463 - m.x464 - m.x465 - m.x466 - m.x467 - m.x468 - m.x469 - m.x470 - m.x471 - m.x472 - m.x473 - m.x474 - m.x475 - m.x476 - m.x477 - m.x478 - m.x479 - m.x480 - m.x481 - m.x482 - m.x483 - m.x484 - m.x485 - m.x486 - m.x487 - m.x488 - m.x489 - m.x490 - m.x491 - m.x492 - m.x493 - m.x494 - m.x495 - m.x496 - m.x497 - m.x498 - m.x499 - m.x500 - m.x501 - m.x502 - m.x503 - m.x504 - m.x505 - m.x506 - m.x507 - m.x508 - m.x509 - m.x510 == 0) m.c3 = Constraint(expr= m.x1 <= 100)

97.260973

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null

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df4589c5936fa29d3d24eba4e44f5da8d49bf94e

714

py

Python

pizza_store/models/user.py

astsu-dev/pizza-store-backend

902f6e5e2c88ba029b2bff61da8fc4684664ead9

[ "MIT" ]

2

2021-07-10T15:47:45.000Z

2021-12-13T18:09:30.000Z

pizza_store/models/user.py

astsu-dev/pizza-store-backend

902f6e5e2c88ba029b2bff61da8fc4684664ead9

[ "MIT" ]

null

pizza_store/models/user.py

astsu-dev/pizza-store-backend

902f6e5e2c88ba029b2bff61da8fc4684664ead9

[ "MIT" ]

null

import datetime import uuid from pizza_store.enums.role import Role from pydantic import BaseModel class UserBase(BaseModel): username: str email: str class UserCreate(UserBase): """User register model""" password: str class UserIn(BaseModel): """User login model.""" username: str password: str class User(UserBase): id: uuid.UUID role: Role class Config: orm_mode = True class UserInDB(User): password_hash: str class UserInToken(User): pass class TokenResponse(BaseModel): access_token: str token_type: str expires_in: int class Token(BaseModel): exp: datetime.datetime iat: datetime.datetime user: UserInToken

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39

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null

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df526964a362846faf5e5acce4b5cfd42b2a61de

562

py

Python

tests/test_scriptfields.py

ttimasdf/pyes

e5dd8bfde7ca72b9bdf52f31ee7dbbf9681891ac

[ "BSD-3-Clause" ]

175

2015-01-04T00:41:48.000Z

2022-01-12T08:42:28.000Z

tests/test_scriptfields.py

yoloseem/pyes

d146d7cbe8a883b7b6a821e4c41acb16d2a5e3d0

[ "BSD-3-Clause" ]

35

2015-01-23T16:17:33.000Z

2021-05-17T12:12:29.000Z

tests/test_scriptfields.py

yoloseem/pyes

d146d7cbe8a883b7b6a821e4c41acb16d2a5e3d0

[ "BSD-3-Clause" ]

69

2015-01-10T17:28:26.000Z

2021-10-13T06:55:56.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import import unittest from pyes import scriptfields class ScriptFieldsTest(unittest.TestCase): def test_scriptfieldserror_imported(self): self.assertTrue(hasattr(scriptfields, 'ScriptFieldsError')) def test_ignore_failure(self): fields = scriptfields.ScriptFields("a_field", "return _source.field", ignore_failure=True) serialized = fields.serialize() self.assertIn("ignore_failure", serialized.get("a_field", {})) if __name__ == '__main__': unittest.main()

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98

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562

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1

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1

0

2

df5bcc25e0eb5cf59dcd57c576a359b2d756670b

1,308

py

Python

.ipynb_checkpoints/get-checkpoint.py

Ferruolo/delphi

369d74053ff211f7114b01d51621a388693a0dc7

[ "MIT" ]

null

.ipynb_checkpoints/get-checkpoint.py

Ferruolo/delphi

369d74053ff211f7114b01d51621a388693a0dc7

[ "MIT" ]

null

.ipynb_checkpoints/get-checkpoint.py

Ferruolo/delphi

369d74053ff211f7114b01d51621a388693a0dc7

[ "MIT" ]

null

import requests import io import dask from bs4 import BeautifulSoup as BS import nltk import pandas import numpy as np def News(ticker): B = BS(requests.get(f"https://www.wsj.com/market-data/quotes/{ticker}", headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'}).content, features="html.parser") News = B.find('ul', {'id': "newsSummary_c"}) News = [a.getText() for a in News.find_all('a')] News = [nltk.word_tokenize(h) for h in News] return dask.dataframe.from_array(np.asarray(News)) api_key = 'MZE3U0MSR1DCE53Z' def daily(ticker, outputsize = 'compact'): csv = pandas.read_csv(io.StringIO(requests.get(f'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&&symbol={ticker}&apikey={api_key}&outputsize={outputsize}&datatype=csv').content.decode('utf-8'))) return csv def intraday_data(ticker, time='1min', outputsize = 'compact'): return pandas.read_csv(io.StringIO(requests.get(f'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={ticker}&interval={time}&apikey={api_key}&outputsize={outputsize}&datatype=csv').content.decode('utf-8'))) def tickers(): return pandas.read_csv("NYSE_TICKERS.csv").iloc[:,0]

39.636364

250

0.714832

194

1,308

4.731959

0.5

0.035948

0.039216

0.055556

0.326797

0.305011

0

0.033043

0.120795

1,308

33

251

39.636364

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0

1

0.190476

false

0

0.333333

0.095238

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0

null

0

null

0

1

0

1

0

2

df6ab267b27cf156ebd687d010ea932b0b451fd7

1,520

py

Python

kfdata/tests/test_attribute.py

kylef-archive/KFData.py

685d58255c9f8518834e395d94d3b75d3dd3eceb

[ "BSD-3-Clause" ]

1

2015-11-08T13:23:39.000Z

kfdata/tests/test_attribute.py

kylef/KFData.py

685d58255c9f8518834e395d94d3b75d3dd3eceb

[ "BSD-3-Clause" ]

null

kfdata/tests/test_attribute.py

kylef/KFData.py

685d58255c9f8518834e395d94d3b75d3dd3eceb

[ "BSD-3-Clause" ]

null

import unittest from kfdata.attributes import Attribute, NumberAttribute, BooleanAttribute class AttributeTests(unittest.TestCase): def setUp(self): self.attribute = Attribute(name='firstName', is_indexed=True, is_optional=False) def test_creation(self): self.assertEqual(self.attribute.name, 'firstName') self.assertTrue(self.attribute.is_indexed) self.assertFalse(self.attribute.is_optional) self.assertFalse(self.attribute.is_transient) def test_str(self): self.assertEqual(str(self.attribute), 'firstName') def test_repr(self): self.assertEqual(repr(self.attribute), '<Attribute firstName>') def test_equality(self): self.assertEqual(self.attribute, Attribute(name='firstName', is_indexed=True, is_optional=False)) def test_inequality(self): self.assertNotEqual(self.attribute, Attribute(name='firstName', is_indexed=True, is_optional=True)) class NumberAttributeTests(unittest.TestCase): def test_creation(self): attribute = NumberAttribute('age', minimum_value=5, maximum_value=10) self.assertEqual(attribute.name, 'age') self.assertEqual(attribute.default_value, 0) self.assertEqual(attribute.minimum_value, 5) self.assertEqual(attribute.maximum_value, 10) class BooleanAttributeTests(unittest.TestCase): def test_default(self): attribute = BooleanAttribute('isHuman') self.assertEqual(attribute.default_value, False)

35.348837

88

0.718421

167

1,520

6.407186

0.257485

0.133645

0.11215

0.072897

0.356075

0.185047

0

0.005582

0.175

1,520

42

89

36.190476

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0

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0

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0

0.419355

1

0.258065

false

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0

null

0

null

0

1

0

1

0

2

df6fa3edddb6528b81a9ef12ac57b8e80546f328

1,454

py

Python

db.py

L1mPeX/Casino-Bot

b08be7be75854cc2e386906a9ef8ee3ab768ae78

[ "MIT" ]

2

2020-11-21T17:33:32.000Z

2021-08-17T16:52:57.000Z

db.py

L1mPeX/Casino-Bot

b08be7be75854cc2e386906a9ef8ee3ab768ae78

[ "MIT" ]

null

db.py

L1mPeX/Casino-Bot

b08be7be75854cc2e386906a9ef8ee3ab768ae78

[ "MIT" ]

null

#!/usr/bin/python3.6 import sqlite3 def make_connect(): conn = sqlite3.connect("bot.db") cursor = conn.cursor() return conn, cursor def create_tables(): conn, cursor = make_connect() try: cursor.execute("CREATE TABLE users(user_id INTEGER, bal FLOAT, count_games INTEGER, sum_games FLOAT, ref_id INTEGER, ref_sum FLOAT)") except: pass try: cursor.execute("CREATE TABLE qiwi_popoln(user_id INTEGER, sum FLOAT, phone INTEGER, random_code INTEGER)") except: pass try: cursor.execute("CREATE TABLE withdraw(user_id INTEGER, sum FLOAT, num TEXT, type INTEGER)") except: pass try: cursor.execute("CREATE TABLE dice(hash INTEGER, sum_bet FLOAT, creator_user_id INTEGER, player_user_id INTEGER, creator_value INTEGER, player_value INTEGER, type TEXT)") except: pass try: cursor.execute("CREATE TABLE history_dice(user_id INTEGER, hash INTEGER, sum_win FLOAT)") except: pass try: cursor.execute("CREATE TABLE ban(user_id INTEGER, S INTEGER)") except: pass try: cursor.execute("CREATE TABLE nontrueusers(user_id INTEGER, S INTEGER)") except: pass try: cursor.execute("CREATE TABLE quetions(hash TEXT, quetion TEXT, answer TEXT)") except: pass try: cursor.execute("CREATE TABLE support(user_id INTEGER, quetion TEXT)") except: pass

32.311111

178

0.658184

187

1,454

4.983957

0.294118

0.096567

0.154506

0.212446

0.47103

0.396996

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1,454

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0

null

0

1

0

null

0

1

0

2

df7edd38a1a100de662fe567b387d768f816c859

1,354

py

Python

tests/test_distgit/test_convert_source_url_to_https.py

sosiouxme/doozer

9658169207773f9c228ad011f611867a4a9d5a77

[ "Apache-2.0" ]

null

tests/test_distgit/test_convert_source_url_to_https.py

sosiouxme/doozer

9658169207773f9c228ad011f611867a4a9d5a77

[ "Apache-2.0" ]

null

tests/test_distgit/test_convert_source_url_to_https.py

sosiouxme/doozer

9658169207773f9c228ad011f611867a4a9d5a77

[ "Apache-2.0" ]

null

from __future__ import absolute_import, print_function, unicode_literals import unittest from doozerlib import distgit class TestDistgitConvertSourceURLToHTTPS(unittest.TestCase): def test_conversion_from_ssh_source(self): source = "git@github.com:myorg/myproject.git" actual = distgit.convert_source_url_to_https(source) expected = "https://github.com/myorg/myproject" self.assertEqual(actual, expected) def test_conversion_from_already_https_source(self): source = "https://github.com/myorg/myproject" actual = distgit.convert_source_url_to_https(source) expected = "https://github.com/myorg/myproject" self.assertEqual(actual, expected) def test_conversion_from_https_source_with_dotgit_suffix(self): source = "https://github.com/myorg/myproject.git" actual = distgit.convert_source_url_to_https(source) expected = "https://github.com/myorg/myproject" self.assertEqual(actual, expected) def test_conversion_from_https_source_with_dotgit_elsewhere(self): source = "https://foo.gitlab.com/myorg/myproject" actual = distgit.convert_source_url_to_https(source) expected = "https://foo.gitlab.com/myorg/myproject" self.assertEqual(actual, expected) if __name__ == '__main__': unittest.main()

31.488372

72

0.728951

159

1,354

5.867925

0.264151

0.068596

0.145766

0.14791

0.720257

0.695606

0.607717

0

0.17356

1,354

42

73

32.238095

0.83378

0

0.423077

0

0.215657

0.025111

0

0.153846

1

0.153846

false

0

0.115385

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0.307692

0.038462

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null

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1

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null

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2