xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

9d5cbfe046bd1ac8daa44f547c895de99159a7d8

698

py

Python

kabutobashi/domain/method/__init__.py

gsy0911/kabutobashi

0be36a41333c3fd0cb59b1d35edee7db4de4a989

[ "MIT" ]

null

kabutobashi/domain/method/__init__.py

gsy0911/kabutobashi

0be36a41333c3fd0cb59b1d35edee7db4de4a989

[ "MIT" ]

65

2020-06-20T00:33:12.000Z

2022-03-30T14:41:50.000Z

kabutobashi/domain/method/__init__.py

gsy0911/kabutobashi

0be36a41333c3fd0cb59b1d35edee7db4de4a989

[ "MIT" ]

null

""" Method modules provide technical analysis for stock chart. - technical analysis - ADX - BollingerBands - Fitting - Ichimoku - MACD - Momentum - PsychoLogical - SMA - Stochastics - other - Basic: only used `parameterize` """ from .adx import ADX from .basic import Basic from .bollinger_bands import BollingerBands from .fitting import Fitting from .ichimoku import Ichimoku from .industry_cat import IndustryCategories from .macd import MACD from .method import Method from .momentum import Momentum from .pct_change import PctChange from .psycho_logical import PsychoLogical from .sma import SMA from .stochastics import Stochastics from .volatility import Volatility

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1

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1

0

2

19b5934addf9367ffc7cfc4bbb2f3ba54c91a35e

505

py

Python

src/matches/urls.py

codingforentrepreneurs/matchmaker-2

c90a20a50d33f2492831426d042c526fb3c574bc

[ "MIT" ]

80

2015-07-23T19:01:46.000Z

2022-03-27T09:38:29.000Z

src/matches/urls.py

codingforentrepreneurs/matchmaker-2

c90a20a50d33f2492831426d042c526fb3c574bc

[ "MIT" ]

1

2018-09-19T19:13:25.000Z

2018-09-24T20:09:26.000Z

src/matches/urls.py

codingforentrepreneurs/matchmaker-2

c90a20a50d33f2492831426d042c526fb3c574bc

[ "MIT" ]

56

2015-07-24T02:59:55.000Z

2021-08-24T11:53:43.000Z

from django.conf import settings from django.conf.urls import include, url from django.conf.urls.static import static from django.contrib import admin urlpatterns = [ url(r'^position/(?P<slug>[\w-]+)/$', 'matches.views.position_match_view', name='position_match_view_url'), url(r'^employer/(?P<slug>[\w-]+)/$', 'matches.views.employer_match_view', name='employer_match_view_url'), url(r'^location/(?P<slug>[\w-]+)/$', 'matches.views.location_match_view', name='location_match_view_url'), ]

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19cd97c0ea18ae1d488f76174d13032b7173ac84

251

py

Python

output/models/nist_data/list_pkg/g_month/schema_instance/nistschema_sv_iv_list_g_month_max_length_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/nist_data/list_pkg/g_month/schema_instance/nistschema_sv_iv_list_g_month_max_length_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/nist_data/list_pkg/g_month/schema_instance/nistschema_sv_iv_list_g_month_max_length_2_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.nist_data.list_pkg.g_month.schema_instance.nistschema_sv_iv_list_g_month_max_length_2_xsd.nistschema_sv_iv_list_g_month_max_length_2 import NistschemaSvIvListGMonthMaxLength2 __all__ = [ "NistschemaSvIvListGMonthMaxLength2", ]

41.833333

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null

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1

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null

0

2

19ce7aec631c4f15665cf038dec7467247786028

183

py

Python

Modules/Request/audiotest.py

code243031/StockAdvisorSystem

1e85d184d97e2bf0d3617ecd60529bcb106c8d0e

[ "Unlicense" ]

null

Modules/Request/audiotest.py

code243031/StockAdvisorSystem

1e85d184d97e2bf0d3617ecd60529bcb106c8d0e

[ "Unlicense" ]

3

2020-08-26T08:34:09.000Z

2021-02-22T03:19:04.000Z

Modules/Request/audiotest.py

code243031/StockAdvisorSystem

1e85d184d97e2bf0d3617ecd60529bcb106c8d0e

[ "Unlicense" ]

null

import winsound as ws def beepsound(): freq = 2000 # range : 37 ~ 32767 dur = 1000 # ms ws.Beep(freq, dur) # winsound.Beep(frequency, duration) print(beepsound())

22.875

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0.628415

24

183

4.791667

0.75

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183

8

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22.875

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0.166667

1

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null

0

1

0

null

0

2

19d0605010a2de2c7400efa0883cfb32414e2074

137

py

Python

iftest2/ipstatic.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

iftest2/ipstatic.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

iftest2/ipstatic.py

OneOfaKindGeek/mycode

bbb4391b333aaa1667314b76393f2102c05a2571

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 ipchk = "192.168.0.1" # a string tests as True if ipchk: print("Looks like the IP address was set: " + ipchk)

19.571429

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0.664234

25

137

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0.081818

0.19708

137

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22.833333

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null

0

1

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null

0

2

19f72dba394c2bbc73c12a20229c7a09492d2494

243

py

Python

task/twosum.py

dhaneeshgk/share_food

ee7549377abe0c6a47d88931226c3ba29a706c42

[ "MIT" ]

1

2018-05-30T11:42:26.000Z

task/twosum.py

dhaneeshgk/share_food

ee7549377abe0c6a47d88931226c3ba29a706c42

[ "MIT" ]

null

task/twosum.py

dhaneeshgk/share_food

ee7549377abe0c6a47d88931226c3ba29a706c42

[ "MIT" ]

null

num1=int(input("enter a num")) num2=int(input("enter a num")) if num1<0 and num2<0: print("enter a positive number") else: sum=0 while(num1>0 and num2>0): sum = num1+num2 print("the sum is",sum) break

18.692308

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41

243

3.414634

0.463415

0.128571

0.185714

0.2

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0.279835

243

12

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20.25

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null

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1

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null

0

2

c20eba23debc37962753e11386ab495151572722

320

py

Python

Algorithms/DynamicProgramming/longest-subsequence-such-that-difference-between-adjacents-is-one.py

Sangeerththan/pythonDSA

d126b3a7a8acc1e202107e20a21ed96fb4ab144e

[ "MIT" ]

1

2021-09-12T20:40:37.000Z

Algorithms/DynamicProgramming/longest-subsequence-such-that-difference-between-adjacents-is-one.py

Sangeerththan/pythonDataStructure

d126b3a7a8acc1e202107e20a21ed96fb4ab144e

[ "MIT" ]

null

Algorithms/DynamicProgramming/longest-subsequence-such-that-difference-between-adjacents-is-one.py

Sangeerththan/pythonDataStructure

d126b3a7a8acc1e202107e20a21ed96fb4ab144e

[ "MIT" ]

null

def longestSubsequence(A, N): L = [1]*N hm = {} for i in range(1,N): if abs(A[i]-A[i-1]) == 1: L[i] = 1 + L[i-1] elif hm.get(A[i]+1,0) or hm.get(A[i]-1,0): L[i] = 1+max(hm.get(A[i]+1,0), hm.get(A[i]-1,0)) hm[A[i]] = L[i] return max(L) A = [1, 2, 3, 4, 5, 3, 2] N = len(A) print(longestSubsequence(A, N))

22.857143

51

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1.975309

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0.175

0.2375

0.125

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0.203125

320

13

52

24.615385

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0

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0.076923

false

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0.076923

0

1

null

0

1

0

null

0

2

c23bc095190bd53dce89bf81da5842ea5fd81084

221

py

Python

runserver.py

ramaneswaran/octo-spam

8ce232632fec3e9bb03e4d7b4ab392604876871d

[ "Apache-2.0" ]

null

runserver.py

ramaneswaran/octo-spam

8ce232632fec3e9bb03e4d7b4ab392604876871d

[ "Apache-2.0" ]

null

runserver.py

ramaneswaran/octo-spam

8ce232632fec3e9bb03e4d7b4ab392604876871d

[ "Apache-2.0" ]

null

import yaml import uvicorn if __name__ == "__main__": stream = open("config.yaml", "r") cfg = yaml.load(stream, Loader=yaml.FullLoader) uvicorn.run("main:app",reload=True,port=cfg['port'], host=cfg['host'])

24.555556

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0.144796

221

9

74

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false

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null

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1

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null

0

1

0

2

c23ffe7f808c91f9a9528e048e62d1f7fe6047bc

297

py

Python

tests/test_order_product.py

Tasari/Restaurant_system

bc0127e0060c54c17abb7aa78800da7bd5bc12cb

[ "MIT" ]

null

tests/test_order_product.py

Tasari/Restaurant_system

bc0127e0060c54c17abb7aa78800da7bd5bc12cb

[ "MIT" ]

null

tests/test_order_product.py

Tasari/Restaurant_system

bc0127e0060c54c17abb7aa78800da7bd5bc12cb

[ "MIT" ]

null

from tables.order_product import Order_Product def test_order_product_creation(): ''' Tests valid creation of object from table ''' order_product = Order_Product('HambUrger', 5) assert order_product.amount == 5 assert order_product.ordered_product.name == 'Hamburger'

29.7

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0.116505

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297

10

61

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false

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0.4

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null

1

0

1

0

null

0

2

c2464886eeb74509060cb50adacbd6e018a67b93

980

py

Python

tests/test_train_valid_test_split.py

matthewconnell/PrepPy

de1dc48f6517277a4aade32b446c8c9b63e613f0

[ "MIT" ]

3

2020-03-14T19:22:59.000Z

2021-06-25T04:35:58.000Z

tests/test_train_valid_test_split.py

matthewconnell/PrepPy

de1dc48f6517277a4aade32b446c8c9b63e613f0

[ "MIT" ]

66

2020-02-25T18:37:39.000Z

2020-03-27T03:26:54.000Z

tests/test_train_valid_test_split.py

matthewconnell/PrepPy

de1dc48f6517277a4aade32b446c8c9b63e613f0

[ "MIT" ]

null

from preppy524 import train_valid_test_split import numpy as np import pytest # Check data input types and parameters X, y = np.arange(16).reshape((8, 2)), list(range(8)) def test_train_test_valid_split(): """ This script will test the output of the train_valid_test_split function which splits dataframes into random train, validation and test subsets. The proportion of the train set relative to the input data will be equal to valid_size * (1 - test_size). """ X_train, X_valid, X_test, y_train, y_valid, y_test =\ train_valid_test_split.train_valid_test_split(X, y) assert(len(X_train) == 4) assert(len(X_valid) == 2) assert(len(X_test) == 2) def check_exception(): with pytest.raises(Exception): train_valid_test_split.train_valid_test_split("test", y) with pytest.raises(Exception): train_valid_test_split.train_valid_test_split(X, "test") test_train_test_valid_split() check_exception()

25.128205

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980

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null

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2

dfb5bbec6afe4fa1c94203078bd16d6722b92fc7

5,338

py

Python

src/utils/http_exception.py

fred-yu-2013/Elastos.Hive.Node

1dcc9178c12efefc786bc653bacec50a1f79161b

[ "MIT" ]

5

2020-11-18T09:14:24.000Z

2021-08-17T13:55:49.000Z

src/utils/http_exception.py

fred-yu-2013/Elastos.Hive.Node

1dcc9178c12efefc786bc653bacec50a1f79161b

[ "MIT" ]

45

2020-11-09T03:40:53.000Z

2021-11-02T08:43:49.000Z

src/utils/http_exception.py

fred-yu-2013/Elastos.Hive.Node

1dcc9178c12efefc786bc653bacec50a1f79161b

[ "MIT" ]

5

2021-01-25T16:25:59.000Z

2021-09-23T20:18:12.000Z

# -*- coding: utf-8 -*- """ Http exceptions definition. """ import json from bson import json_util from flask import jsonify, request class HiveException(Exception): NO_INTERNAL_CODE = -1 def __init__(self, code, internal_code, msg): self.code = code self.internal_code = internal_code self.msg = msg def get_error_response(self): return jsonify(self._get_error_dict()), self.code def _get_error_dict(self): error = {"message": self.msg} if self.internal_code > 0: error['internal_code'] = self.internal_code return {"error": error} @staticmethod def get_success_response(data, is_download=False, is_code=False): code = HiveException.__get_success_http_code() if is_code: # Support user-defined http status code. assert type(data) is tuple and len(data) == 2 data, code = data[0], data[1] json_data = data if is_download else (json.dumps(data, default=json_util.default) if data else '') return json_data, code @staticmethod def __get_success_http_code(): codes = { 'GET': 200, 'PUT': 200, 'PATCH': 200, 'POST': 201, 'DELETE': 204, } assert request.method in codes return codes[request.method] def __str__(self): return json.dumps(self._get_error_dict()) # BadRequestException # TODO: refine default and INVALID_PARAMETER for more specific ones. class BadRequestException(HiveException): INVALID_PARAMETER = 1 BACKUP_IS_IN_PROCESSING = 2 def __init__(self, internal_code=INVALID_PARAMETER, msg='Invalid parameter'): super().__init__(400, internal_code, msg) class InvalidParameterException(BadRequestException): def __init__(self, msg='Invalid parameter'): super().__init__(super().INVALID_PARAMETER, msg=msg) class BackupIsInProcessingException(BadRequestException): def __init__(self, msg='Backup is in processing.'): super().__init__(super().BACKUP_IS_IN_PROCESSING, msg=msg) # UnauthorizedException class UnauthorizedException(HiveException): def __init__(self, msg='You are unauthorized to make this request.'): super().__init__(401, super().NO_INTERNAL_CODE, msg) # ForbiddenException # TODO: remove for vault accessing because no need active before using vault. class ForbiddenException(HiveException): def __init__(self, msg='Forbidden.'): super().__init__(403, super().NO_INTERNAL_CODE, msg) # NotFoundException class NotFoundException(HiveException): VAULT_NOT_FOUND = 1 BACKUP_NOT_FOUND = 2 SCRIPT_NOT_FOUND = 3 COLLECTION_NOT_FOUND = 4 PRICE_PLAN_NOT_FOUND = 5 FILE_NOT_FOUND = 6 ORDER_NOT_FOUND = 7 RECEIPT_NOT_FOUND = 8 def __init__(self, internal_code=VAULT_NOT_FOUND, msg='The vault does not found or not activate.'): super().__init__(404, internal_code, msg) class VaultNotFoundException(NotFoundException): def __init__(self, msg='The vault does not found.'): super().__init__(internal_code=NotFoundException.VAULT_NOT_FOUND, msg=msg) class BackupNotFoundException(NotFoundException): def __init__(self, msg='The backup service does not found.'): super().__init__(internal_code=NotFoundException.BACKUP_NOT_FOUND, msg=msg) class ScriptNotFoundException(NotFoundException): def __init__(self, msg='The script does not found.'): super().__init__(internal_code=NotFoundException.SCRIPT_NOT_FOUND, msg=msg) class CollectionNotFoundException(NotFoundException): def __init__(self, msg='The collection does not found.'): super().__init__(internal_code=NotFoundException.COLLECTION_NOT_FOUND, msg=msg) class PricePlanNotFoundException(NotFoundException): def __init__(self, msg='The price plan does not found.'): super().__init__(internal_code=NotFoundException.PRICE_PLAN_NOT_FOUND, msg=msg) class FileNotFoundException(NotFoundException): def __init__(self, msg='The file does not found.'): super().__init__(internal_code=NotFoundException.FILE_NOT_FOUND, msg=msg) class OrderNotFoundException(NotFoundException): def __init__(self, msg='The order does not found.'): super().__init__(internal_code=NotFoundException.ORDER_NOT_FOUND, msg=msg) class ReceiptNotFoundException(NotFoundException): def __init__(self, msg='The receipt does not found.'): super().__init__(internal_code=NotFoundException.RECEIPT_NOT_FOUND, msg=msg) # AlreadyExistsException class AlreadyExistsException(HiveException): def __init__(self, msg='Already exists.'): super().__init__(455, super().NO_INTERNAL_CODE, msg) # InternalServerErrorException class InternalServerErrorException(HiveException): def __init__(self, msg='Internal server error.'): super().__init__(500, super().NO_INTERNAL_CODE, msg) # NotImplementedException class NotImplementedException(HiveException): def __init__(self, msg='Not implemented yet.'): super().__init__(501, super().NO_INTERNAL_CODE, msg) # InsufficientStorageException class InsufficientStorageException(HiveException): def __init__(self, msg='Insufficient storage.'): super().__init__(507, super().NO_INTERNAL_CODE, msg)

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dfdae299944050a6fdef525329e6faa9196e1465

540

py

Python

omicexperiment/transforms/filters/taxonomy.py

bassio/omicexperiment

323de49bb528e91658b38ed748a47c062e371048

[ "BSD-3-Clause" ]

7

2016-06-16T14:30:43.000Z

2021-11-09T10:15:03.000Z

omicexperiment/transforms/filters/taxonomy.py

bassio/omicexperiment

323de49bb528e91658b38ed748a47c062e371048

[ "BSD-3-Clause" ]

1

2019-03-18T21:32:06.000Z

2019-03-18T22:16:19.000Z

omicexperiment/transforms/filters/taxonomy.py

bassio/omicexperiment

323de49bb528e91658b38ed748a47c062e371048

[ "BSD-3-Clause" ]

2

2019-08-23T09:11:58.000Z

2022-03-26T10:05:55.000Z

import pandas as pd from omicexperiment.transforms.transform import Filter, AttributeFilter, AttributeFlexibleOperatorMixin class TaxonomyAttributeFilter(AttributeFilter, AttributeFlexibleOperatorMixin): def __dapply__(self, experiment): _op = self._op_function(experiment._counts_with_tax()) criteria = _op(self.value) return experiment.data_df[criteria] def __eapply__(self, experiment): filtered_df = self.__dapply__(experiment) return experiment.with_data_df(filtered_df)

36

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540

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dfde4e79b20e512e9f6be943f7987bab3af3401d

633

py

Python

dictionary.py

leonarddepaula/Projetos

6908f875a181e42e554f46171d946713ba88ef58

[ "MIT" ]

null

dictionary.py

leonarddepaula/Projetos

6908f875a181e42e554f46171d946713ba88ef58

[ "MIT" ]

null

dictionary.py

leonarddepaula/Projetos

6908f875a181e42e554f46171d946713ba88ef58

[ "MIT" ]

null

# DICTIONARY cod_uf = { 21 : 'Maranhão', 22 : 'Piauí', 23 : 'Ceará', 24 : 'Rio grande Do Norte', 25 : 'Paraíba', 26 : 'Pernanbuco', 27 : 'Alagoas', 28 : 'Sergipe', 29 : 'Bahia'} print(type(cod_uf)) print(cod_uf) print('\n/******************************/\n') # Valores Ordenados. print(cod_uf.values()) print('\n/******************************/\n') # Duplicados Não São permitidos. # Acessando os Valores. print(cod_uf.get(29)) print(cod_uf.get(23)) print(cod_uf.keys()) print('\n/******************************/\n') # Adicionando Novos Valores. cod_uf[30] = 'Léo De Paula' print(cod_uf)

17.108108

45

0.516588

79

633

4.025316

0.556962

0.141509

0.188679

0.081761

0

0.046065

0.176935

633

37

46

17.108108

0.564299

0.172196

0

0.238095

0

0.371869

0.208092

0

1

0

false

0

0.47619

0

null

0

1

0

null

0

1

0

2

dffa15382ad81e025fbf33b72e7f59d0fca090a3

225

py

Python

Python/data_structures_and_algorihms_with_python/Chapter01/conditions_looping.py

qixia1998/Data-Structures-and-Algorithms

501f53822c24977a176704cc24f2f6dc1d55892f

[ "MIT" ]

null

Python/data_structures_and_algorihms_with_python/Chapter01/conditions_looping.py

qixia1998/Data-Structures-and-Algorithms

501f53822c24977a176704cc24f2f6dc1d55892f

[ "MIT" ]

null

Python/data_structures_and_algorihms_with_python/Chapter01/conditions_looping.py

qixia1998/Data-Structures-and-Algorithms

501f53822c24977a176704cc24f2f6dc1d55892f

[ "MIT" ]

null

# example to understand variables a = [2, 4, 6] b = a a.append(8) print(b) # example to understand variables scope a = 15; b = 25 def my_function(): global a a = 11; b = 21 my_function() print(a) #11 print(b) #25

12.5

39

0.626667

41

225

3.390244

0.512195

0.129496

0.273381

0.402878

0

0.093567

0.24

225

18

40

12.5

0.719298

0.324444

0

0.181818

0

1

0.090909

false

0

0.090909

0.272727

0

null

0

1

0

null

0

2

5f02a80f57ee8423dabe3f0d4105d5bf049922a3

5,161

py

Python

tests/unit/io/test_carto.py

manmorjim/cartoframes

4172e3dcdaedf207c10772a6dffe4f43b1993230

[ "BSD-3-Clause" ]

null

tests/unit/io/test_carto.py

manmorjim/cartoframes

4172e3dcdaedf207c10772a6dffe4f43b1993230

[ "BSD-3-Clause" ]

null

tests/unit/io/test_carto.py

manmorjim/cartoframes

4172e3dcdaedf207c10772a6dffe4f43b1993230

[ "BSD-3-Clause" ]

null

import pytest from pandas import Index from geopandas import GeoDataFrame from shapely.geometry import Point from cartoframes import CartoDataFrame from cartoframes.auth import Credentials from cartoframes.io.carto import read_carto from cartoframes.core.managers.context_manager import ContextManager CREDENTIALS = Credentials('fake_user', 'fake_api_key') def test_read_carto(mocker): # Given cm_mock = mocker.patch.object(ContextManager, 'copy_to') cm_mock.return_value = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ '010100000000000000000000000000000000000000', '010100000000000000000024400000000000002e40', '010100000000000000000034400000000000003e40' ] }) expected = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ Point([0, 0]), Point([10, 15]), Point([20, 30]) ] }, geometry='the_geom') # When cdf = read_carto('__source__', CREDENTIALS) # Then cm_mock.assert_called_once_with('__source__', None, None, 3) assert expected.equals(cdf) assert cdf.crs == 'epsg:4326' def test_read_carto_wrong_source(mocker): # Given mocker.patch.object(ContextManager, 'copy_to') # When with pytest.raises(ValueError) as e: read_carto(1234, CREDENTIALS) # Then assert str(e.value) == 'Wrong source. You should provide a valid table_name or SQL query.' def test_read_carto_wrong_credentials(mocker): # Given mocker.patch.object(ContextManager, 'copy_to') # When with pytest.raises(AttributeError) as e: read_carto('__source__', 1234) # Then assert str(e.value) == 'Credentials attribute is required. Please pass a `Credentials` ' + \ 'instance or use the `set_default_credentials` function.' def test_read_carto_limit(mocker): # Given mocker.patch.object(CartoDataFrame, 'set_geometry') cm_mock = mocker.patch.object(ContextManager, 'copy_to') # When read_carto('__source__', CREDENTIALS, limit=1) # Then cm_mock.assert_called_once_with('__source__', None, 1, 3) def test_read_carto_retry_times(mocker): # Given mocker.patch.object(CartoDataFrame, 'set_geometry') cm_mock = mocker.patch.object(ContextManager, 'copy_to') # When read_carto('__source__', CREDENTIALS, retry_times=1) # Then cm_mock.assert_called_once_with('__source__', None, None, 1) def test_read_carto_schema(mocker): # Given mocker.patch.object(CartoDataFrame, 'set_geometry') cm_mock = mocker.patch.object(ContextManager, 'copy_to') # When read_carto('__source__', CREDENTIALS, schema='__schema__') # Then cm_mock.assert_called_once_with('__source__', '__schema__', None, 3) def test_read_carto_index_col_exists(mocker): # Given cm_mock = mocker.patch.object(ContextManager, 'copy_to') cm_mock.return_value = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ '010100000000000000000000000000000000000000', '010100000000000000000024400000000000002e40', '010100000000000000000034400000000000003e40' ] }) expected = GeoDataFrame({ 'the_geom': [ Point([0, 0]), Point([10, 15]), Point([20, 30]) ] }, geometry='the_geom', index=Index([1, 2, 3], 'cartodb_id')) # When cdf = read_carto('__source__', CREDENTIALS, index_col='cartodb_id') # Then assert expected.equals(cdf) def test_read_carto_index_col_not_exists(mocker): # Given cm_mock = mocker.patch.object(ContextManager, 'copy_to') cm_mock.return_value = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ '010100000000000000000000000000000000000000', '010100000000000000000024400000000000002e40', '010100000000000000000034400000000000003e40' ] }) expected = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ Point([0, 0]), Point([10, 15]), Point([20, 30]) ] }, geometry='the_geom', index=Index([0, 1, 2], 'rename_index')) # When cdf = read_carto('__source__', CREDENTIALS, index_col='rename_index') # Then assert expected.equals(cdf) def test_read_carto_decode_geom_false(mocker): # Given cm_mock = mocker.patch.object(ContextManager, 'copy_to') cm_mock.return_value = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ '010100000000000000000000000000000000000000', '010100000000000000000024400000000000002e40', '010100000000000000000034400000000000003e40' ] }) expected = GeoDataFrame({ 'cartodb_id': [1, 2, 3], 'the_geom': [ '010100000000000000000000000000000000000000', '010100000000000000000024400000000000002e40', '010100000000000000000034400000000000003e40' ] }) # When cdf = read_carto('__source__', CREDENTIALS, decode_geom=False) # Then assert expected.equals(cdf)

28.048913

96

0.650262

533

5,161

5.962477

0.196998

0.053807

0.064191

0.045312

0.756765

0.717432

0.686595

0.649465

0.622404

0

0.177009

0.238132

5,161

183

97

28.202186

0.631231

0.027708

0

0.586207

0

0.257315

0.131263

0

0.094828

1

0.077586

false

0.008621

0.068966

0

0.146552

0

null

0

1

0

1

0

null

0

2

5f19e47313d4a9586ddc9ee7d4e9ddbc5cde8c12

316

py

Python

users/admin.py

thiagoferreiraw/mixapp

67ced5b26d5c4baf6d46a9630d001da8e30800fd

[ "MIT" ]

4

2017-10-17T16:00:44.000Z

2021-05-26T19:35:58.000Z

users/admin.py

thiagoferreiraw/mixapp

67ced5b26d5c4baf6d46a9630d001da8e30800fd

[ "MIT" ]

5

2020-06-05T17:23:55.000Z

2021-09-07T23:42:12.000Z

users/admin.py

thiagoferreiraw/mixapp

67ced5b26d5c4baf6d46a9630d001da8e30800fd

[ "MIT" ]

3

2017-10-10T22:37:34.000Z

2017-10-18T22:47:55.000Z

from django.contrib import admin from users.models import SignupInvitation, UserCategory class SignupInvitationAdmin(admin.ModelAdmin): pass class UserCategoryAdmin(admin.ModelAdmin): pass admin.site.register(SignupInvitation, SignupInvitationAdmin) admin.site.register(UserCategory, UserCategoryAdmin)

22.571429

60

0.832278

31

316

8.483871

0.516129

0.197719

0.144487

0

0.101266

316

13

61

24.307692

0.926056

0

0.25

0

1

0

true

0.25

0

0.5

0

null

0

null

0

1

0

2

5f237d51180908b31ae53cb59789bb872cd2ce43

2,556

py

Python

stocks/helper.py

arminbhy/stock-market-analysis

3b560674c1da29aa8ebbf3b56b975c787f0e5fd8

[ "WTFPL" ]

1

2017-02-27T13:11:46.000Z

stocks/helper.py

arminbhy/stock-market-analysis

3b560674c1da29aa8ebbf3b56b975c787f0e5fd8

[ "WTFPL" ]

null

stocks/helper.py

arminbhy/stock-market-analysis

3b560674c1da29aa8ebbf3b56b975c787f0e5fd8

[ "WTFPL" ]

null

#!/usr/bin/env python import numpy import pystache def _direction_to_str(direction): if direction == 1: return "Positive" if direction == -1: return "Negative" return "None" def _direction(a,b): if a > b: return 1 if a == b: return 0 return -1 def _rsi(v): if v > 70: return 'Over-Bought' if v < 30: return 'Over-Sold' if v > 60: return 'Almost-Over-Bought' if v < 40: return 'Almost-Over-Sold' return 'Avearge' class Helper: 'Class for everything related to ticker' def __init__(self, data): self.data = data def len(self): return len(self.data) def last_value(self): return self.data[len(self.data) - 1] def min(self, n=14): return min(self.data[len(self.data) - n:]) def max(self, n=14): return max(self.data[len(self.data) - n:]) def days_since_min(self, n=14): group = self.data[len(self.data) - n:] group.reverse() return group.index(self.min(n)) def days_since_max(self, n=14): group = self.data[len(self.data) - n:] group.reverse() return group.index(self.max(n)) def direction(self): return _direction( self.data[len(self.data) - 1], self.data[len(self.data) - 2] ) def direction_str(self): return _direction_to_str(self.direction()) def direction_compareto_average(self, n=14): return _direction( self.data[len(self.data) - 1], numpy.mean(self.data[len(self.data) - n:])) def direction_since_max_or_min(self, n=14): return self.direction_compareto_average( min(self.days_since_max(n), self.days_since_min(n)) + 1) def report(self, n=14): return pystache.render('Direction {{direction}}, Value {{value}}, {{n}}D Min {{min}}, Max {{max}}, Days Since Min {{since_min}}, Max {{since_max}}', { 'n' : n, 'direction' : _direction_to_str(self.direction()), 'value' : round(self.data[len(self.data) - 1],2), 'min' : round(self.min(n),2), 'max' : round(self.max(n),2), 'since_min' : self.days_since_min(n), 'since_max' : self.days_since_max(n) }) class RSIHelper(Helper): def status(self): return _rsi(self.data[len(self.data) - 1]) def min_status(self, n=14): return _rsi(self.min(n)) def max_status(self, n=14): return _rsi(self.max(n))

26.350515

158

0.564945

356

2,556

3.921348

0.176966

0.143266

0.094556

0.118195

0.401862

0.280086

0.265759

0.179083

0.091691

0

0.022577

0.289515

2,556

96

159

26.625

0.746145

0.023083

0

0.106667

0

0.013333

0.110497

0

1

0.24

false

0

0.026667

0.16

0.626667

0

null

0

null

0

1

0

1

0

2

5f29e844d4f640ffadbbda2480b24e7b1dff3c1d

1,283

py

Python

src/data/order_era5.py

ecohydro/rhone-ecostress

fa72f4c2716f40a860551ef4073fbaa5b004c7f5

[ "MIT" ]

2

2020-10-12T21:46:17.000Z

2022-02-12T03:51:10.000Z

src/data/order_era5.py

ecohydro/rhone-ecostress

fa72f4c2716f40a860551ef4073fbaa5b004c7f5

[ "MIT" ]

null

src/data/order_era5.py

ecohydro/rhone-ecostress

fa72f4c2716f40a860551ef4073fbaa5b004c7f5

[ "MIT" ]

2

2020-07-31T19:35:54.000Z

2022-02-04T13:25:24.000Z

import cdsapi c = cdsapi.Client() c.retrieve( 'reanalysis-era5-land', { 'format':'netcdf', 'variable':[ '2m_dewpoint_temperature','2m_temperature','evaporation_from_bare_soil', 'evaporation_from_vegetation_transpiration','evapotranspiration','potential_evaporation', 'surface_pressure','total_precipitation' ], 'year':[ '2019' ], 'month':[ '01','02','03', '04','05','06', '07','08','09', '10','11','12' ], 'day':[ '01','02','03', '04','05','06', '07','08','09', '10','11','12', '13','14','15', '16','17','18', '19','20','21', '22','23','24', '25','26','27', '28','29','30', '31' ], 'time':[ '00:00','01:00','02:00', '03:00','04:00','05:00', '06:00','07:00','08:00', '09:00','10:00','11:00', '12:00','13:00','14:00', '15:00','16:00','17:00', '18:00','19:00','20:00', '21:00','22:00','23:00' ] }, '/mnt/ecostress/rhone-ecostress-data/era5-download2.nc')

26.183673

101

0.387373

137

1,283

3.540146

0.50365

0.061856

0.024742

0.03299

0.098969

0

0.237562

0.373344

1,283

48

102

26.729167

0.365672

0

0.222222

0

0.387676

0.127925

0

1

0

false

0

0.022222

0

0.022222

0

null

0

1

0

1

0

null

0

2

5f3451e59cc126c5158c8b25db5f21b13f8311b2

579

py

Python

icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/2-RESTORING/RESTORE_desktop_layout.py

moof-moof/Icon-pycon

3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8

[ "Unlicense" ]

null

icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/2-RESTORING/RESTORE_desktop_layout.py

moof-moof/Icon-pycon

3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8

[ "Unlicense" ]

null

icon-pycon/home/<USERNAME>/Desktop/DTbkp.d/2-RESTORING/RESTORE_desktop_layout.py

moof-moof/Icon-pycon

3f14af7d0a3e30bea1b67ea6c34ff71c9ebedcf8

[ "Unlicense" ]

null

import sys sys.path.append('/home/user/path/to/0-defs/') # sys.path.append('/home/xneb/Skrivbord/DTbkp.d/0-defs/') import icons_pycons icons_pycons.RESTORE_saved_layout() # ---------------------------------------------------------------------# ## Finally, to refresh the desktop simply hit F5 while "touching" the ## desktop with the pointer. ## ## To more drastically restart caja run in separate terminal: ## caja -q && caja -n & ## ## or: ## killall -9 caja (Oy Gevald!) # ---------------------------------------------------------------------#

20.678571

72

0.495682

63

579

4.492063

0.698413

0.04947

0.091873

0.120141

0

0.008147

0.151986

579

27

73

21.444444

0.568228

0.725389

0

0.192593

0

1

0

true

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

5f37ab305b8be6a06ceeef43488178b10f55544e

165

py

Python

BOJwithDongbinNa/1904/1904.py

jiyolla/StudyForCodingTestWithDongbinNa

c070829dd9c7b02b139e56511832c4a3b9f5982f

[ "MIT" ]

null

BOJwithDongbinNa/1904/1904.py

jiyolla/StudyForCodingTestWithDongbinNa

c070829dd9c7b02b139e56511832c4a3b9f5982f

[ "MIT" ]

null

BOJwithDongbinNa/1904/1904.py

jiyolla/StudyForCodingTestWithDongbinNa

c070829dd9c7b02b139e56511832c4a3b9f5982f

[ "MIT" ]

null

def solve(): n = int(input()) f = [1, 2] + [0] * (n - 2) for i in range(2, n): f[i] = (f[i - 2] + f[i - 1]) % 15746 print(f[n - 1]) solve()

18.333333

44

0.375758

31

165

2

0.483871

0.096774

0

0.12381

0.363636

165

8

45

20.625

0.466667

0

1

0.142857

false

0

0.142857

0

null

0

1

0

1

0

null

0

2

a034b7bcb2e8d3daba74e84f95923a7635acca9d

316

py

Python

Python3/1261.py

Di-Ca-N/URI-Online-Judge

160797b534fe8c70e719b1ea41690157dbdbb52e

[ "MIT" ]

null

Python3/1261.py

Di-Ca-N/URI-Online-Judge

160797b534fe8c70e719b1ea41690157dbdbb52e

[ "MIT" ]

null

Python3/1261.py

Di-Ca-N/URI-Online-Judge

160797b534fe8c70e719b1ea41690157dbdbb52e

[ "MIT" ]

null

m, n = map(int, input().split()) dicionario = {} for i in range(m): cargo, valor = input().split() dicionario[cargo] = int(valor) for i in range(n): a = input().split() total = 0 while a != ["."]: for word in a: if word in dicionario: total += dicionario[word] a = input().split() print(total)

15.8

32

0.588608

48

316

3.875

0.416667

0.215054

0.11828

0

0.004065

0.221519

316

19

33

16.631579

0.752033

0

0.142857

0

0.003165

0

1

0

false

0

0.071429

0

null

1

0

null

0

2

a036d04ec7acd96a911e3d6bed5c6d667d35305c

352

py

Python

employee_management/employee_management/page/category/category.py

Vivekananthan112599/Frappe-Vivek

6a2b70c736e17e9748c6a30e5722341acfb3b5c5

[ "MIT" ]

null

employee_management/employee_management/page/category/category.py

Vivekananthan112599/Frappe-Vivek

6a2b70c736e17e9748c6a30e5722341acfb3b5c5

[ "MIT" ]

null

employee_management/employee_management/page/category/category.py

Vivekananthan112599/Frappe-Vivek

6a2b70c736e17e9748c6a30e5722341acfb3b5c5

[ "MIT" ]

null

from __future__ import unicode_literals import frappe @frappe.whitelist() def get_list(): orders = frappe.db.sql('''select name,category_name from `tabCategoryb`''') return orders @frappe.whitelist() def get_insert(name,cname): result = frappe.db.set_value('Categoryb',name,'category_name',cname) return result

16.761905

77

0.696023

43

352

5.465116

0.55814

0.12766

0.153191

0.178723

0

0.1875

352

20

78

17.6

0.821678

0

0.2

0

0.201807

0

1

0.2

false

0

0.2

0

0.6

0

null

0

1

0

null

0

1

0

2

a042fd42d3eb242a1fdfed3c98010eac579118cd

152

py

Python

example/django_example/foo/a_plugin_folder/dynaconf_hooks.py

sephiartlist/dynaconf

9c5f60b289c1f0fa3f899f1962a8fe5712c74eab

[ "MIT" ]

2,293

2015-08-14T22:39:31.000Z

2022-03-31T12:44:49.000Z

example/django_example/foo/a_plugin_folder/dynaconf_hooks.py

sephiartlist/dynaconf

9c5f60b289c1f0fa3f899f1962a8fe5712c74eab

[ "MIT" ]

676

2015-08-20T19:29:56.000Z

2022-03-31T13:45:51.000Z

example/django_example/foo/a_plugin_folder/dynaconf_hooks.py

sephiartlist/dynaconf

9c5f60b289c1f0fa3f899f1962a8fe5712c74eab

[ "MIT" ]

255

2015-12-02T21:16:33.000Z

2022-03-20T22:03:46.000Z

def post(settings): data = {"dynaconf_merge": True} if settings.get("ADD_BEATLES") is True: data["BANDS"] = ["Beatles"] return data

25.333333

43

0.611842

19

152

4.789474

0.736842

0

0.230263

152

5

44

30.4

0.777778

0

0.243421

0

1

0.2

false

0

0.4

0

1

0

null

0

1

0

null

0

2

a044ca6f0bb5153e01427d999ad36a4f0c809c66

569

py

Python

generators/app/templates/auth/jwt/urls.py

pratheeshrussell1992/generator-djangoacs

c78d95ce322429d1416c42a2134a8227394fdfd6

[ "Apache-2.0" ]

null

generators/app/templates/auth/jwt/urls.py

pratheeshrussell1992/generator-djangoacs

c78d95ce322429d1416c42a2134a8227394fdfd6

[ "Apache-2.0" ]

null

generators/app/templates/auth/jwt/urls.py

pratheeshrussell1992/generator-djangoacs

c78d95ce322429d1416c42a2134a8227394fdfd6

[ "Apache-2.0" ]

null

from django.urls import path, re_path from .conf import * from .controllers.registerController import OauthRegister as registerHandler from .controllers.jwtLoginController import JwtLogin as jwtHandler from .controllers.jwtLoginController import JwtRenewLogin as jwtRefreshHandler app_name = Config.app_name urlpatterns = [ re_path(r'^register/?$', registerHandler.as_view(), name="register"), re_path(r'^login/jwt/token/?$', jwtHandler.as_view(), name='token_obtain_pair'), re_path(r'^login/jwt/renew/?$', jwtRefreshHandler.as_view(), name='token_refresh') ]

43.769231

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0.048165

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569

13

85

43.769231

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null

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1

0

null

0

1

0

2

a04c6a747ea3580d8d3ae7c900cd22274649c871

118

py

Python

detector/effdet_cfg.py

HwangToeMat/tmp

a4f48443b16b5e07a9cf95f54651ade8c7669134

[ "Apache-2.0" ]

10

2020-08-28T08:03:28.000Z

2022-03-26T21:20:44.000Z

detector/effdet_cfg.py

HwangToeMat/PoseEstimation_Scoring-Your-Video

16c49b00007135d9b274b6c1e23d6e6c942ec951

[ "Apache-2.0" ]

null

detector/effdet_cfg.py

HwangToeMat/PoseEstimation_Scoring-Your-Video

16c49b00007135d9b274b6c1e23d6e6c942ec951

[ "Apache-2.0" ]

null

from easydict import EasyDict as edict cfg = edict() cfg.NMS_THRES = 0.6 cfg.CONFIDENCE = 0.1 cfg.NUM_CLASSES = 80

14.75

38

0.728814

21

118

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0.190476

0

0.061856

0.177966

118

7

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null

0

1

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null

0

2

a05a3b5b6930fabaaa1541235a6d82a8b361d3d2

122

py

Python

examples/chunking/udf/tags.py

feiranwang/deepdive

53c03edba643d53fbb6d9d382870fe5dfb2e47a1

[ "Apache-2.0" ]

1

2015-04-06T16:20:00.000Z

examples/chunking/udf/tags.py

feiranwang/deepdive

53c03edba643d53fbb6d9d382870fe5dfb2e47a1

[ "Apache-2.0" ]

null

examples/chunking/udf/tags.py

feiranwang/deepdive

53c03edba643d53fbb6d9d382870fe5dfb2e47a1

[ "Apache-2.0" ]

null

#! /usr/bin/env python tagNames = ['NP', 'VP', 'PP', 'ADJP', 'ADVP', 'SBAR', 'O', 'PRT', 'CONJP', 'INTJ', 'LST', 'B', '']

40.666667

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98

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null

0

1

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null

0

2

a05b68e940e554ec4ad9b7601e2400c462b90e5b

5,242

py

Python

unit_test/model/sklearn_like_model/test_SemanticSegmentation.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

unit_test/model/sklearn_like_model/test_SemanticSegmentation.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

unit_test/model/sklearn_like_model/test_SemanticSegmentation.py

demetoir/MLtools

8c42fcd4cc71728333d9c116ade639fe57d50d37

[ "MIT" ]

null

import numpy as np from pprint import pprint from script.data_handler.ImgMaskAug import ActivatorMask, ImgMaskAug from script.data_handler.TGS_salt import HEAD_PATH, collect_images from script.model.sklearn_like_model.BaseModel import BaseDatasetCallback from script.model.sklearn_like_model.SemanticSegmentation import SemanticSegmentation from script.util.PlotTools import PlotTools from script.util.misc_util import path_join from imgaug import augmenters as iaa plot = PlotTools(save=True, show=False) class mask_label_encoder: @staticmethod def to_label(x): return np.array(x / 255, dtype=int) @staticmethod def from_label(x): return np.array(x * 255, dtype=float) def test_SemanticSegmentation_toy_set(): x = np.zeros([100, 128, 128, 1]) y = np.ones([100, 128, 128, 1]) y_gt = y y_encode = mask_label_encoder.to_label(y) print(x.shape) print(y_encode.shape) Unet = SemanticSegmentation(stage=4, batch_size=10) Unet.train(x, y_encode, epoch=100) score = Unet.score(x, y_encode) pprint(score) predict = Unet.predict(x) pprint(predict[0]) pprint(predict.shape) proba = Unet.predict_proba(x) pprint(proba[0]) pprint(proba.shape) metric = Unet.metric(x, y_encode) print(metric) predict = mask_label_encoder.from_label(predict) plot.plot_image_tile(np.concatenate([x, predict, y_gt], axis=0), title='predict', column=10) def test_SemanticSegmentation(): sample_IMAGE_PATH = path_join(HEAD_PATH, 'sample/images') sample_MASK_PATH = path_join(HEAD_PATH, 'sample/masks') sample_size = 7 limit = None print(f'collect sample images') train_images, _, _ = collect_images(sample_IMAGE_PATH, limit=limit) train_images = train_images.reshape([-1, 101, 101]) print(f'collect sample images') train_mask_images, _, _ = collect_images(sample_MASK_PATH, limit=limit) train_mask_images = train_mask_images.reshape([-1, 101, 101]) x = train_images y = train_mask_images import cv2 x = np.array([cv2.resize(a, (128, 128)) for a in x]).reshape([-1, 128, 128, 1]) y = np.array([cv2.resize(a, (128, 128)) for a in y]).reshape([-1, 128, 128, 1]) y_gt = y y_encode = mask_label_encoder.to_label(y) print(x.shape) print(y_encode.shape) Unet = SemanticSegmentation(stage=4, batch_size=7) Unet.train(x, y_encode, epoch=100, early_stop=True, patience=10) score = Unet.score(x, y_encode) pprint(score) predict = Unet.predict(x) pprint(predict[0]) pprint(predict.shape) proba = Unet.predict_proba(x) pprint(proba[0]) pprint(proba.shape) metric = Unet.metric(x, y_encode) print(metric) predict = mask_label_encoder.from_label(predict) plot.plot_image_tile(np.concatenate([x, predict, y_gt], axis=0), title='predict', column=sample_size) class dataset_callback(BaseDatasetCallback): def __init__(self, x, y, batch_size): super().__init__(x, y, batch_size) self.seq = iaa.Sequential([ iaa.Fliplr(0.5, name="Flipper"), ]) self.activator = ActivatorMask([]) self.aug = ImgMaskAug(self.x, self.y, self.seq, self.activator, self.batch_size, n_jobs=1) @property def size(self): return len(self.x) def shuffle(self): pass def next_batch(self, batch_size, batch_keys=None, update_cursor=True, balanced_class=False, out_type='concat'): x, y = self.aug.get_batch() return x, y def test_train_dataset_callback(): sample_IMAGE_PATH = path_join(HEAD_PATH, 'sample/images') sample_MASK_PATH = path_join(HEAD_PATH, 'sample/masks') sample_size = 7 limit = None print(f'collect sample images') train_images, _, _ = collect_images(sample_IMAGE_PATH, limit=limit) train_images = train_images.reshape([-1, 101, 101]) print(f'collect sample images') train_mask_images, _, _ = collect_images(sample_MASK_PATH, limit=limit) train_mask_images = train_mask_images.reshape([-1, 101, 101]) x = train_images y = train_mask_images import cv2 x = np.array([cv2.resize(a, (128, 128)) for a in x]).reshape([-1, 128, 128, 1]) y = np.array([cv2.resize(a, (128, 128)) for a in y]).reshape([-1, 128, 128, 1]) y_gt = y y_encode = mask_label_encoder.to_label(y) print(x.shape) print(y_encode.shape) Unet = SemanticSegmentation(stage=4, batch_size=7) # Unet.train(x, y_encode, epoch=100) Unet.train(x, y_encode, epoch=1000, dataset_callback=dataset_callback) Unet.train(x, y_encode, epoch=1000, dataset_callback=dataset_callback) score = Unet.score(x, y_encode) pprint(score) predict = Unet.predict(x) pprint(predict[0]) pprint(predict.shape) proba = Unet.predict_proba(x) pprint(proba[0]) pprint(proba.shape) metric = Unet.metric(x, y_encode) print(metric) predict = mask_label_encoder.from_label(predict) plot.plot_image_tile(np.concatenate([x, predict, y_gt], axis=0), title='predict', column=sample_size)

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null

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1

0

1

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null

0

2

a05f45127f2edba2b2b47a084cd3a42c9f88bc53

700

py

Python

logbunker/apps/backoffice/backend/routes/status_routes.py

parada3desu/logbunker

1cc3f197c0d1662946ef65bb9f97a89f625d0c1b

[ "MIT" ]

null

logbunker/apps/backoffice/backend/routes/status_routes.py

parada3desu/logbunker

1cc3f197c0d1662946ef65bb9f97a89f625d0c1b

[ "MIT" ]

null

logbunker/apps/backoffice/backend/routes/status_routes.py

parada3desu/logbunker

1cc3f197c0d1662946ef65bb9f97a89f625d0c1b

[ "MIT" ]

1

2021-12-28T15:20:20.000Z

import sys from dependency_injector.wiring import inject, Provide from fastapi import APIRouter from starlette.requests import Request from logbunker.apps.backoffice.backend.dependencies.BackofficeContainer import BackofficeContainer, backoffice_container from logbunker.apps.bunker.controllers.StatusGetController import StatusGetController @inject def register( router: APIRouter, status_get_controller: StatusGetController = Provide[BackofficeContainer.status_get_controller] ): @router.get('/status', tags=['Health']) async def run_wrapper(req: Request): return await status_get_controller.run(req) backoffice_container.wire(modules=[sys.modules[__name__]])

31.818182

120

0.807143

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700

7.25

0.526316

0.049002

0.103448

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0.117143

700

21

121

33.333333

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null

0

1

0

1

0

2

a06964e3556af93bdd88e62259ae7b0a459b8f82

169

py

Python

tests/test_pages.py

eoranged/squash

9fb088e419ab0b0a16dbde126b12051ea2dc4bab

[ "MIT" ]

null

tests/test_pages.py

eoranged/squash

9fb088e419ab0b0a16dbde126b12051ea2dc4bab

[ "MIT" ]

13

2019-08-06T00:39:44.000Z

2019-10-28T21:55:16.000Z

tests/test_pages.py

eoranged/squash

9fb088e419ab0b0a16dbde126b12051ea2dc4bab

[ "MIT" ]

1

2019-08-21T17:20:22.000Z

async def test_index(test_cli): resp = await test_cli.get('/') assert resp.status == 200 data = await resp.text() assert '<title>squash</title>' in data

28.166667

42

0.650888

25

169

4.28

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0.022388

0.207101

169

5

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0

1

0

null

0

1

0

null

0

2

a0830701c04ccda3c8b0b52e36f1a9eeae920660

659

py

Python

block/migrations/0003_auto_20191226_0841.py

tiantian-commits/fcexplorer

492f9a5d9cd538d37b4c172248fc3b1818bde1d8

[ "Apache-2.0" ]

null

block/migrations/0003_auto_20191226_0841.py

tiantian-commits/fcexplorer

492f9a5d9cd538d37b4c172248fc3b1818bde1d8

[ "Apache-2.0" ]

7

2020-02-12T03:22:53.000Z

2022-03-12T00:11:02.000Z

block/migrations/0003_auto_20191226_0841.py

tiantian-commits/fcexplorer

492f9a5d9cd538d37b4c172248fc3b1818bde1d8

[ "Apache-2.0" ]

null

# Generated by Django 2.1 on 2019-12-26 08:41 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('block', '0002_auto_20191226_0812'), ] operations = [ migrations.RenameField( model_name='block', old_name='pre', new_name='method', ), migrations.RemoveField( model_name='block', name='prove', ), migrations.RemoveField( model_name='block', name='slash', ), migrations.RemoveField( model_name='block', name='submit', ), ]

21.258065

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0.108434

0.168675

0.271084

0.35241

0

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659

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0.037459

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null

0

1

0

1

0

null

0

2

a083dbe331458c0350cc41b115714d760de910c4

963

py

Python

leetcode/H0224_Basic_Calculator.py

jjmoo/daily

fb8cf0e64606a2a76a6141bb0e9ccd143c30f07c

[ "MIT" ]

1

2020-03-27T16:42:02.000Z

leetcode/H0224_Basic_Calculator.py

jjmoo/daily

fb8cf0e64606a2a76a6141bb0e9ccd143c30f07c

[ "MIT" ]

null

leetcode/H0224_Basic_Calculator.py

jjmoo/daily

fb8cf0e64606a2a76a6141bb0e9ccd143c30f07c

[ "MIT" ]

null

from M0227_Basic_Calculator_II import Solution as Basic_Calculator class Solution(object): def calculate(self, s): """ :type s: str :rtype: int """ return Basic_Calculator().calculate(s) print(2, Solution().calculate('1 + 1')) print(3, Solution().calculate(' 2-1 + 2 ')) print(23, Solution().calculate('(1+(4+5+2)-3)+(6+8)')) # Implement a basic calculator to evaluate a simple expression string. # The expression string may contain open ( and closing parentheses ), the plus + or minus sign -, non-negative integers and empty spaces . # Example 1: # Input: "1 + 1" # Output: 2 # Example 2: # Input: " 2-1 + 2 " # Output: 3 # Example 3: # Input: "(1+(4+5+2)-3)+(6+8)" # Output: 23 # Note: # You may assume that the given expression is always valid. # Do not use the eval built-in library function. # 来源：力扣（LeetCode） # 链接：https://leetcode-cn.com/problems/basic-calculator # 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。

24.075

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963

4.450704

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0.056962

0.012658

0.022152

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0.19107

963

39

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false

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0.428571

0

null

0

null

0

1

0

2

a08d3cb77266519189f8aaa444876e8b28d0ada6

8,202

py

Python

stream/utils/utils.py

cajohnst/prod_sample

02d332eb58fa872aafecb0de92ecceb48ca94d5f

[ "MIT" ]

null

stream/utils/utils.py

cajohnst/prod_sample

02d332eb58fa872aafecb0de92ecceb48ca94d5f

[ "MIT" ]

null

stream/utils/utils.py

cajohnst/prod_sample

02d332eb58fa872aafecb0de92ecceb48ca94d5f

[ "MIT" ]

null

import pandas as pd import requests import pytz from datetime import timedelta as td from dateutil.relativedelta import relativedelta as rd """ DESCRIPTION ----------- Utils used for all streaming applications. MODIFICATIONS ------------- Created : 4/24/19 AUTHORS ------- CJ """ def reverse_key_value(orig_dict): """ DESCRIPTION ----------- Reverse the key value pairs of a dictionary object. PARAMETERS ---------- orig_dict : dict A dictionary object. RETURNS ------- rev_dict : dict A dictionary with the values of the original dictionary stored as keys and the keys of the oriinal dictionary stored as values. MODIFICATIONS ------------- Created : 4/24/19 """ rev_dict = {} for j, k in orig_dict.items(): rev_dict[k] = j return rev_dict def strip_tzinfo(ts): """ DESCRIPTION ----------- Strip the timezone info from a timestamp instance RETURNS ------- A timestamp object with nullified timezone information. MODIFICATIONS ------------- Created : 4/22/19 """ return ts.replace(tzinfo=None) def round_down_to_nearest_day(ts): """ DESCRIPTION ----------- Round a timestamp to the nearest day by replacing hour, minute, second, and microsecond values to 0. RETURNS ------- A rounded datetime object MODIFICATIONS ------------- Created : 4/22/19 """ return ts.replace(hour=0, minute=0, second=0, microsecond=0) def round_down_to_nearest_week(ts): """ DESCRIPTION ----------- Round a timestamp to the nearest day by replacing hour, minute, second, and microsecond values to 0. RETURNS ------- A rounded datetime object MODIFICATIONS ------------- Created : 4/22/19 """ return ts.replace(hour=0, minute=0, second=0, microsecond=0) - td(days=ts.weekday()) def round_down_to_nearest_month(ts): """ DESCRIPTION ----------- Round a timestamp to the nearest month by replacing day, hour, minute, second, and microsecond values to 0. RETURNS ------- A rounded datetime object MODIFICATIONS ------------- Created : 4/22/19 """ return ts.replace(day=0, hour=0, minute=0, second=0, microsecond=0) def concat_rows(df1, df2): """ DESCRIPTION ----------- A basic concatenation of two pandas dataframes adding rows of df2 to df1 ignoring indicies and outer joining on columns. PARAMETERS ---------- df1 : pd.DataFrame A pandas dataframe instance. df2 : pd.DataFrame A pandas dataframe instance. RETURNS ------- A pandas dataframe containing the results of the outer-joined concatenation. MODFICATIONS ------------ Created : 4/24/19 """ return pd.concat([df1, df2], axis=0, sort=True, ignore_index=True) def drop_first_df_row(df): """ DESCRIPTION ----------- Drop the first row of a pandas dataframe in place. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance NOTES ----- Drop first row in place. MODIFICATIONS ------------- Created : 4/25/19 """ df.drop(df.index[:1], inplace=True) def drop_last_df_row(df): """ DESCRIPTION ----------- Drop the last row of a pandas dataframe in place PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance NOTES ----- Drop last row in place. MODIFICATIONS ------------- Created : 4/25/19 """ df.drop(df.index[-1:], inplace=True) def drop_df_cols(df, col_names): """ DESCRIPTION ----------- Drop specified columns from a pandas dataframe given a list of the column names in place. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance col_names : list A list of column names (str) for which to drop from the dataframe NOTES ----- Drop columns in place. MODIFICATIONS ------------- Created : 4/26/19 """ df.drop(col_names, axis=1, inplace=True) def set_null_vals_to_none(df): """ DESCRIPTION ----------- Set null values to None to be SQL readable upon database insertion. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance RETURNS ------- A pandas dataframe instance in which null values are converted to `None` MODIFICATIONS ------------- Created ; 4/26/19 """ return df.where(pd.notnull(df), None) def copy_df(df): """ DESCRIPTION ----------- Deep copy a pandas dataframe. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance RETURNS ------- A deep copy of a given pandas dataframe MODIFICATIONS ------------- Created : 4/26/19 """ return df.copy(deep=True) def make_request(url): """ DESCRIPTION ----------- Make a request to a given url and return a response PARAMETERS ---------- url : str A url formatted as a string, the location to submit a request RETURNS ------- response : a request response instance MODIFICATIONS ------------- Created ; 4/26/19 """ return requests.get(url, stream=True) def set_index(df, ix_cols): """ DESCRIPTION Set the index of a pandas dataframe from existing columns. If multiple columns are passed in the ix_cols list, a multi-index will be formed. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance ix_cols : list A list of column names formatted as strings referencing existing columns in the dataframe for which to make a (multi) index. RETURNS ------- Creates a (multi) index in place NOTES ----- To set a datetime index, a column with a dtype datetime must be passed. MODIFICATIONS ------------- Created : 4/26/19 """ df.set_index(ix_cols, inplace=True) def reset_index(df, drop=True): """ DESCRIPTION ----------- Reset the index of a pandas dataframe to a standard monotonic index. PARAMETERS ---------- df : pd.DataFrame A pandas dataframe instance drop : bool (default=True) A boolean flag for whether to drop the current index or return the index as a dataframe column. NOTES ----- Modifies the dataframe in place. MODIFICATIONS ------------- Created : 4/28/19 """ df.reset_index(drop=drop, inplace=True) def merge(df1, df2, on=None, how="left"): """ DESCRIPTION ----------- Merge two pandas dataframes on a common field name or specified fields in each frame. PARAMETERS ---------- df1 : pd.DataFrame A pandas dataframe instance df2 : pd.DataFrame A pandas dataframe instance on : str, list A string or list representing the field(s) to join on. If a list is passed, it is assumed multiple values are passed for separate fields. Otherwise, it is assumed that a common field name is present between the two dataframes. how : str The method of joining the two frames (left, right, outer, inner) RETURNS ------- A pandas dataframe instance merged from two provided dataframes MODIFICATIONS ------------- Created : 4/29/19 """ if isinstance(on, list): return pd.merge(df1, df2, left_on=on[0], right_on=on[1], how=how) elif isinstance(on, str): return pd.merge(df1, df2, on=on, how=how) else: raise ValueError(f"merge_df function expected a list or string object, got {type(on)}") def convert_ts_to_utc(ts): """ DESCRIPTION ----------- Return a timestamp or datetime object converted to UTC timezone PARAMETERS ---------- ts : dt.datetime A datetime or timestamp instance RETURNS ------- A datetime or timestamp instance with added UTC tz_info MODIFICATIONS ------------- Created : 4/29/19 """ return ts.astimezone(pytz.timezone("UTC"))

21.81383

95

0.589247

1,014

8,202

4.711045

0.217949

0.065941

0.066988

0.065313

0.419929

0.351266

0.30291

0.289094

0.252669

0.244924

0

0.02069

0.275177

8,202

375

96

21.872

0.782843

0.631919

0

0.040398

0

1

0.355556

false

0

0.111111

0

0.733333

0

null

0

null

0

1

0

1

0

2

a09d12aee97a4ee5944b255fe66f73706d6abef1

14,355

py

Python

espeleo_planner/test/scripts/obstacle_detection_3d_lidar_v2.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

6

2021-06-14T12:53:06.000Z

2021-11-12T01:14:43.000Z

espeleo_planner/test/scripts/obstacle_detection_3d_lidar_v2.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

null

espeleo_planner/test/scripts/obstacle_detection_3d_lidar_v2.py

ITVRoC/espeleo_planner

f29d01c09aba339a30a76d05e80641181172ec8a

[ "MIT" ]

2

2021-09-17T06:58:23.000Z

2022-03-02T12:15:29.000Z

#!/usr/bin/env python import os import sys import rospy import pymesh import rospkg import traceback from visualization_msgs.msg import Marker import sensor_msgs.msg import sensor_msgs.point_cloud2 as pc2 from scipy import spatial from sklearn.cluster import DBSCAN import numpy as np import matplotlib.pyplot as plt from mayavi import mlab lidar_msg = None import numpy as np from scipy.spatial import distance import matplotlib.pyplot as plt from mpl_toolkits.mplot3d.axes3d import get_test_data from mpl_toolkits.mplot3d import Axes3D import math from math import pi from recon_surface.srv import MeshFromPointCloud2 import pcl import pcl.pcl_visualization from random import randint import time from visualization_msgs.msg import Marker, MarkerArray viewer = pcl.pcl_visualization.PCLVisualizering(b"3D Viewer") viewer.InitCameraParameters() # viewer.setCameraPosition(0, 30, 0, 0, 0, 0, 0, 0, 1) # viewer.setCameraFieldOfView(0.523599) # viewer.setCameraClipDistances(0.00522511, 50) pub_closest_obstacle_pt = rospy.Publisher('/closest_obstacle_point', Marker, latch=True, queue_size=1) pub_obstacles_pts = rospy.Publisher('/obstacles_points', MarkerArray, latch=True, queue_size=1) color_list = [] def create_marker(pos, orientation=1.0, color=(1.0, 1.0, 1.0), m_scale=0.5, frame_id="/velodyneVPL", duration=10, marker_id=0, mesh_resource=None, marker_type=2, marker_text=""): """Create marker object using the map information and the node position :param pos: list of 3d postion for the marker :param orientation: orientation of the maker (1 for no orientation) :param color: a 3 vector of 0-1 rgb values :param m_scale: scale of the marker (1.0) for normal scale :param frame_id: ROS frame id :param duration: duration in seconds for this marker dissapearance :param marker_id: :param mesh_resource: :param marker_type: one of the following types (use the int value) http://wiki.ros.org/rviz/DisplayTypes/Marker ARROW = 0 CUBE = 1 SPHERE = 2 CYLINDER = 3 LINE_STRIP = 4 LINE_LIST = 5 CUBE_LIST = 6 SPHERE_LIST = 7 POINTS = 8 TEXT_VIEW_FACING = 9 MESH_RESOURCE = 10 TRIANGLE_LIST = 11 :param marker_text: text string used for the marker :return: """ marker = Marker() marker.header.frame_id = frame_id marker.id = marker_id if mesh_resource: marker.type = marker.MESH_RESOURCE marker.mesh_resource = mesh_resource else: marker.type = marker_type marker.action = marker.ADD marker.scale.x = m_scale marker.scale.y = m_scale marker.scale.z = m_scale marker.color.a = 1.0 marker.color.r = color[0] marker.color.g = color[1] marker.color.b = color[2] marker.pose.orientation.w = orientation marker.text = marker_text marker.pose.position.x = pos[0] marker.pose.position.y = pos[1] marker.pose.position.z = pos[2] d = rospy.Duration.from_sec(duration) marker.lifetime = d return marker def hv_in_range(x, y, z, fov, fov_type='h'): """ Extract filtered in-range velodyne coordinates based on azimuth & elevation angle limit Args: `x`:velodyne points x array `y`:velodyne points y array `z`:velodyne points z array `fov`:a two element list, e.g.[-45,45] `fov_type`:the fov type, could be `h` or 'v',defualt in `h` Return: `cond`:condition of points within fov or not Raise: `NameError`:"fov type must be set between 'h' and 'v' " """ d = np.sqrt(x ** 2 + y ** 2 + z ** 2) if fov_type == 'h': # print "np.arctan2(y, x):", np.arctan2(y, x) # print "np.deg2rad(-fov[1]):", np.deg2rad(-fov[1]) # print "np.deg2rad(-fov[0]):", np.deg2rad(-fov[0]) return np.logical_and(np.arctan2(y, x) > np.deg2rad(-fov[1]), np.arctan2(y, x) < np.deg2rad(-fov[0])) elif fov_type == 'v': return np.logical_and(np.arctan2(z, d) < np.deg2rad(fov[1]), np.arctan2(z, d) > np.deg2rad(fov[0])) else: raise NameError("fov type must be set between 'h' and 'v' ") def random_color_gen(): """ Generates a random color Args: None Returns: list: 3 elements, R, G, and B """ r = randint(50, 255) g = randint(50, 255) b = randint(50, 255) return [r, g, b] def get_color_list(cluster_count): global color_list """ Returns a list of randomized colors Args: cluster_count (int): Number of random colors to generate Returns: (list): List containing 3-element color lists """ if (cluster_count > len(color_list)): for i in xrange(len(color_list), cluster_count): color_list.append(random_color_gen()) return color_list def get_centroid_of_pts(arr): length = arr.shape[0] sum_x = np.sum(arr[:, 0]) sum_y = np.sum(arr[:, 1]) sum_z = np.sum(arr[:, 2]) return np.array([[sum_x/length, sum_y/length, sum_z/length]]) def lidar_callback(msg): global lidar_msg if lidar_msg is None: rospy.loginfo("lidar_callback") lidar_msg = msg def find_max_list_idx(list): list_len = [len(i) for i in list] return np.argmax(np.array(list_len)) def process_lidar_msg(n_bins=72, z_std_thresh=0.1): global lidar_msg if not lidar_msg: return rospy.loginfo("process_lidar_msg") points = pc2.read_points_list(lidar_msg, field_names=("x", "y", "z"), skip_nans=True) print "size points:", len(points) #points = [p for p in points if p[2] < -0.39 or p[2] > -0.35 and math.sqrt(p[0] ** 2 + p[1] ** 2 + p[2] ** 2) < 3.0] #print "size points after Z basic cleanout:", len(points) #points = [p for p in points if math.sqrt(p[0] ** 2 + p[1] ** 2 + p[2] ** 2) < 3.0] #print "size points after distance cleanout:", len(points) cloud = pcl.PointCloud(np.array(points, dtype=np.float32)) clip_distance = 2.5 passthrough = cloud.make_passthrough_filter() passthrough.set_filter_field_name('x') passthrough.set_filter_limits(-clip_distance, clip_distance) cloud_filtered = passthrough.filter() passthrough = cloud_filtered.make_passthrough_filter() passthrough.set_filter_field_name('y') passthrough.set_filter_limits(-clip_distance, clip_distance) cloud_filtered = passthrough.filter() passthrough = cloud_filtered.make_passthrough_filter() passthrough.set_filter_field_name('z') passthrough.set_filter_limits(-clip_distance, clip_distance) cloud_filtered = passthrough.filter() vg = cloud_filtered.make_voxel_grid_filter() vg.set_leaf_size(0.01, 0.01, 0.01) cloud_filtered = vg.filter() # divide the pointcloud in bins bin_size = 360/float(n_bins) colors = get_color_list(n_bins) np_p = cloud_filtered.to_array() bin_idx = -1 #viewer.InitCameraParameters() marker_array = MarkerArray() closest_p_dist = float("inf") closest_p = None for i in xrange((n_bins / 2)): for sign in [1, -1]: bin_idx += 1 bin_start = (i * bin_size) * sign bin_end = ((i + 1) * bin_size) * sign if sign > 0: fov = [bin_start, bin_end] else: fov = [bin_end, bin_start] cond = hv_in_range(x=np_p[:, 0], y=np_p[:, 1], z=np_p[:, 2], fov=fov, fov_type='h') np_p_ranged = np_p[cond] z_std = np.std(np_p_ranged[:, 2]) if z_std < z_std_thresh: cloud_cluster = pcl.PointCloud() cloud_cluster.from_array(np_p_ranged) pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud_cluster, 255, 0, 0) viewer.AddPointCloud_ColorHandler(cloud_cluster, pccolor, b'cluster_{}'.format(bin_idx), 0) print "\tz_std:", z_std continue color = colors[bin_idx] cloud_bin = pcl.PointCloud(np_p_ranged) tree = cloud_bin.make_kdtree() ec = cloud_bin.make_EuclideanClusterExtraction() ec.set_ClusterTolerance(0.15) ec.set_MinClusterSize(20) ec.set_MaxClusterSize(25000) ec.set_SearchMethod(tree) cluster_indices = ec.Extract() if len(cluster_indices) <= 0: cloud_cluster = pcl.PointCloud() cloud_cluster.from_array(np_p_ranged) pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud_cluster, 255, 0, 0) viewer.AddPointCloud_ColorHandler(cloud_cluster, pccolor, b'cluster_{}'.format(bin_idx), 0) print "\tlen(cluster_indices)", len(cluster_indices) continue max_cluster_idx = find_max_list_idx(cluster_indices) len_max_cluster = len(cluster_indices[max_cluster_idx]) #print 'cluster_indices :', len(cluster_indices), " count." #print 'max_cluster_idx :', max_cluster_idx, " len:", len_max_cluster if len(cluster_indices[max_cluster_idx]) < 100: continue cluster_points = np.zeros((len_max_cluster, 3), dtype=np.float32) for j, indice in enumerate(cluster_indices[max_cluster_idx]): cluster_points[j][0] = cloud_bin[indice][0] cluster_points[j][1] = cloud_bin[indice][1] cluster_points[j][2] = cloud_bin[indice][2] cloud_cluster = pcl.PointCloud() cloud_cluster.from_array(cluster_points) # # pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud_cluster, color[0], color[1], color[2]) viewer.AddPointCloud_ColorHandler(cloud_cluster, pccolor, b'cluster_{}'.format(bin_idx), 0) print "z_std:", z_std, "bin_start:", bin_start, "bin_end:", bin_end, "bin_idx:", bin_idx, "color:", color centroid = get_centroid_of_pts(cluster_points)[0] #print "centroid:", centroid x, y, z = centroid f_marker = create_marker((x, y, z), color=(0.6, 0.1, 0.0), duration=2, m_scale=0.25, marker_id=bin_idx) marker_array.markers.append(f_marker) d = math.sqrt(x ** 2 + y ** 2 + z ** 2) if d < closest_p_dist: closest_p_dist = d closest_p = centroid # pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud_bin, color[0], color[1], color[2]) # viewer.AddPointCloud_ColorHandler(cloud_bin, pccolor, b'cluster_{}'.format(bin_idx), 0) viewer.AddCube(-0.25, 0.25, -0.15, 0.15, -0.4, -0.2, 255, 255, 255, "robot") # color = colors[0] # pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud_filtered, color[0], color[1], color[2]) # viewer.AddPointCloud_ColorHandler(cloud_filtered, pccolor, b'cluster_{}'.format(0), 0) # seg = cloud_filtered.make_segmenter() # seg.set_optimize_coefficients(True) # seg.set_model_type(pcl.SACMODEL_PLANE) # seg.set_method_type(pcl.SAC_RANSAC) # seg.set_MaxIterations(100) # seg.set_distance_threshold(0.25) # # indices, model = seg.segment() # tmp = cloud_filtered.to_array() # tmp = np.delete(tmp, indices, 0) # cloud_filtered.from_array(tmp) # tree = cloud_filtered.make_kdtree() # ec = cloud_filtered.make_EuclideanClusterExtraction() # ec.set_ClusterTolerance(0.25) # ec.set_MinClusterSize(2) # ec.set_MaxClusterSize(25000) # ec.set_SearchMethod(tree) # cluster_indices = ec.Extract() # # print 'cluster_indices :', len(cluster_indices), " count." # # colors = get_color_list(len(cluster_indices)) # # cloud_cluster = pcl.PointCloud() # # for j, indices in enumerate(cluster_indices): # # cloudsize = indices # print 'j:', j, 'indices:', str(len(indices)) # # points = np.zeros((len(indices), 3), dtype=np.float32) # # for i, indice in enumerate(indices): # points[i][0] = cloud_filtered[indice][0] # points[i][1] = cloud_filtered[indice][1] # points[i][2] = cloud_filtered[indice][2] # # z_std = np.std(points[:, 2]) # print "z std:", z_std # # cloud_cluster.from_array(points) # ss = "/tmp/cluster/cloud_cluster_" + str(j) + ".pcd" # pcl.save(cloud_cluster, ss) # # color = colors[j] # pccolor = pcl.pcl_visualization.PointCloudColorHandleringCustom(cloud, color[0], color[1], color[2]) # viewer.AddPointCloud_ColorHandler(cloud_cluster, pccolor, b'cluster_{}'.format(j), 0) if closest_p is not None: closest_p_marker = create_marker((closest_p[0], closest_p[1], closest_p[2]), color=(0.9, 0.1, 0.0), duration=2, m_scale=0.5, marker_id=0) pub_closest_obstacle_pt.publish(closest_p_marker) pub_obstacles_pts.publish(marker_array) v = True while v: v = not (viewer.WasStopped()) viewer.SpinOnce() #time.sleep(0.5) #break # for j, indices in enumerate(cluster_indices): # viewer.RemovePointCloud(b'cluster_{}'.format(j), 0) # for i in xrange(n_bins): # viewer.RemovePointCloud(b'cluster_{}'.format(i), 0) viewer.remove_all_pointclouds() viewer.remove_all_shapes() if __name__ == '__main__': rospy.init_node('obstacle_detection_3d_lidar') rospy.loginfo("init node...") rospy.Subscriber('/velodyne/points2', sensor_msgs.msg.PointCloud2, lidar_callback) rate_slow = rospy.Rate(1.0) while not rospy.is_shutdown(): try: process_lidar_msg() except Exception as e: tb = traceback.format_exc() rospy.logerr("Main Exception: %s", str(tb)) rate_slow.sleep() rospy.loginfo("obstacle_detection_3d_lidar node stop") 3

34.016588

120

0.622153

1,923

14,355

4.433177

0.185647

0.027449

0.01783

0.018299

0.323988

0.293138

0.227918

0.187683

0.173607

0.161877

0

0.031058

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14,355

422

121

34.016588

0.773718

0.202926

0

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0

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0.010293

0

null

0.055814

0.125581

null

0.018605

0

null

0

null

0

1

0

1

0

2

a0a88e5af872f4e8e52ce13bb4b58260947c31bb

362

py

Python

Sergeant-RANK/DAY-10/412A.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

2

2021-12-09T18:07:46.000Z

2022-01-26T16:51:18.000Z

Sergeant-RANK/DAY-10/412A.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

null

Sergeant-RANK/DAY-10/412A.py

rohansaini886/Peer-Programming-Hub-CP-Winter_Camp

d27fb6aa7e726e6d2cb95270c9e644d38d64dd1c

[ "MIT" ]

null

n,k = map(int,input().split()) s = input() if n//2 >= k: for i in range(k-1): print("LEFT") for i in range(n-1): print("PRINT",s[i]) print("RIGHT") print("PRINT",s[n-1]) else: for i in range(n-k): print("RIGHT") for i in range(1,n): print("PRINT",s[-i]) print("LEFT") print("PRINT",s[0])

19.052632

30

0.475138

62

362

2.774194

0.306452

0.093023

0.139535

0.255814

0.337209

0

0.023715

0.301105

362

18

31

20.111111

0.656126

0

0.25

0

0.105263

0

1

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false

0

0.5

0

null

0

1

0

null

0

1

0

2

a0b0499b8715889aaff0878f603c5afb4365f885

13,425

py

Python

nova/virt/xenapi_conn.py

tqrg-bot/nova

321f581660aad3fc9da5f88276bfdf11f6960d97

[ "Apache-2.0" ]

null

nova/virt/xenapi_conn.py

tqrg-bot/nova

321f581660aad3fc9da5f88276bfdf11f6960d97

[ "Apache-2.0" ]

null

nova/virt/xenapi_conn.py

tqrg-bot/nova

321f581660aad3fc9da5f88276bfdf11f6960d97

[ "Apache-2.0" ]

null

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright (c) 2010 Citrix Systems, Inc. # Copyright 2010 OpenStack LLC. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """ A connection to XenServer or Xen Cloud Platform. The concurrency model for this class is as follows: All XenAPI calls are on a green thread (using eventlet's "tpool" thread pool). They are remote calls, and so may hang for the usual reasons. All long-running XenAPI calls (VM.start, VM.reboot, etc) are called async (using XenAPI.VM.async_start etc). These return a task, which can then be polled for completion. This combination of techniques means that we don't block the main thread at all, and at the same time we don't hold lots of threads waiting for long-running operations. FIXME: get_info currently doesn't conform to these rules, and will block the reactor thread if the VM.get_by_name_label or VM.get_record calls block. **Related Flags** :xenapi_connection_url: URL for connection to XenServer/Xen Cloud Platform. :xenapi_connection_username: Username for connection to XenServer/Xen Cloud Platform (default: root). :xenapi_connection_password: Password for connection to XenServer/Xen Cloud Platform. :xenapi_task_poll_interval: The interval (seconds) used for polling of remote tasks (Async.VM.start, etc) (default: 0.5). :target_host: the iSCSI Target Host IP address, i.e. the IP address for the nova-volume host :target_port: iSCSI Target Port, 3260 Default :iqn_prefix: IQN Prefix, e.g. 'iqn.2010-10.org.openstack' """ import sys import urlparse import xmlrpclib from eventlet import event from eventlet import tpool from nova import context from nova import db from nova import utils from nova import flags from nova import log as logging from nova.virt.xenapi.vmops import VMOps from nova.virt.xenapi.volumeops import VolumeOps LOG = logging.getLogger("nova.virt.xenapi") FLAGS = flags.FLAGS flags.DEFINE_string('xenapi_connection_url', None, 'URL for connection to XenServer/Xen Cloud Platform.' ' Required if connection_type=xenapi.') flags.DEFINE_string('xenapi_connection_username', 'root', 'Username for connection to XenServer/Xen Cloud Platform.' ' Used only if connection_type=xenapi.') flags.DEFINE_string('xenapi_connection_password', None, 'Password for connection to XenServer/Xen Cloud Platform.' ' Used only if connection_type=xenapi.') flags.DEFINE_float('xenapi_task_poll_interval', 0.5, 'The interval used for polling of remote tasks ' '(Async.VM.start, etc). Used only if ' 'connection_type=xenapi.') flags.DEFINE_string('xenapi_image_service', 'glance', 'Where to get VM images: glance or objectstore.') flags.DEFINE_float('xenapi_vhd_coalesce_poll_interval', 5.0, 'The interval used for polling of coalescing vhds.' ' Used only if connection_type=xenapi.') flags.DEFINE_integer('xenapi_vhd_coalesce_max_attempts', 5, 'Max number of times to poll for VHD to coalesce.' ' Used only if connection_type=xenapi.') flags.DEFINE_string('target_host', None, 'iSCSI Target Host') flags.DEFINE_string('target_port', '3260', 'iSCSI Target Port, 3260 Default') flags.DEFINE_string('iqn_prefix', 'iqn.2010-10.org.openstack', 'IQN Prefix') # NOTE(sirp): This is a work-around for a bug in Ubuntu Maverick, when we pull # support for it, we should remove this flags.DEFINE_bool('xenapi_remap_vbd_dev', False, 'Used to enable the remapping of VBD dev ' '(Works around an issue in Ubuntu Maverick)') flags.DEFINE_string('xenapi_remap_vbd_dev_prefix', 'sd', 'Specify prefix to remap VBD dev to ' '(ex. /dev/xvdb -> /dev/sdb)') def get_connection(_): """Note that XenAPI doesn't have a read-only connection mode, so the read_only parameter is ignored.""" url = FLAGS.xenapi_connection_url username = FLAGS.xenapi_connection_username password = FLAGS.xenapi_connection_password if not url or password is None: raise Exception(_('Must specify xenapi_connection_url, ' 'xenapi_connection_username (optionally), and ' 'xenapi_connection_password to use ' 'connection_type=xenapi')) return XenAPIConnection(url, username, password) class XenAPIConnection(object): """A connection to XenServer or Xen Cloud Platform""" def __init__(self, url, user, pw): session = XenAPISession(url, user, pw) self._vmops = VMOps(session) self._volumeops = VolumeOps(session) def init_host(self, host): #FIXME(armando): implement this #NOTE(armando): would we need a method #to call when shutting down the host? #e.g. to do session logout? pass def list_instances(self): """List VM instances""" return self._vmops.list_instances() def spawn(self, instance): """Create VM instance""" self._vmops.spawn(instance) def snapshot(self, instance, image_id): """ Create snapshot from a running VM instance """ self._vmops.snapshot(instance, image_id) def reboot(self, instance): """Reboot VM instance""" self._vmops.reboot(instance) def set_admin_password(self, instance, new_pass): """Set the root/admin password on the VM instance""" self._vmops.set_admin_password(instance, new_pass) def destroy(self, instance): """Destroy VM instance""" self._vmops.destroy(instance) def pause(self, instance, callback): """Pause VM instance""" self._vmops.pause(instance, callback) def unpause(self, instance, callback): """Unpause paused VM instance""" self._vmops.unpause(instance, callback) def suspend(self, instance, callback): """suspend the specified instance""" self._vmops.suspend(instance, callback) def resume(self, instance, callback): """resume the specified instance""" self._vmops.resume(instance, callback) def get_info(self, instance_id): """Return data about VM instance""" return self._vmops.get_info(instance_id) def get_diagnostics(self, instance): """Return data about VM diagnostics""" return self._vmops.get_diagnostics(instance) def get_console_output(self, instance): """Return snapshot of console""" return self._vmops.get_console_output(instance) def get_ajax_console(self, instance): """Return link to instance's ajax console""" return self._vmops.get_ajax_console(instance) def attach_volume(self, instance_name, device_path, mountpoint): """Attach volume storage to VM instance""" return self._volumeops.attach_volume(instance_name, device_path, mountpoint) def detach_volume(self, instance_name, mountpoint): """Detach volume storage to VM instance""" return self._volumeops.detach_volume(instance_name, mountpoint) def get_console_pool_info(self, console_type): xs_url = urlparse.urlparse(FLAGS.xenapi_connection_url) return {'address': xs_url.netloc, 'username': FLAGS.xenapi_connection_username, 'password': FLAGS.xenapi_connection_password} class XenAPISession(object): """The session to invoke XenAPI SDK calls""" def __init__(self, url, user, pw): self.XenAPI = self.get_imported_xenapi() self._session = self._create_session(url) self._session.login_with_password(user, pw) self.loop = None def get_imported_xenapi(self): """Stubout point. This can be replaced with a mock xenapi module.""" return __import__('XenAPI') def get_xenapi(self): """Return the xenapi object""" return self._session.xenapi def get_xenapi_host(self): """Return the xenapi host""" return self._session.xenapi.session.get_this_host(self._session.handle) def call_xenapi(self, method, *args): """Call the specified XenAPI method on a background thread.""" f = self._session.xenapi for m in method.split('.'): f = f.__getattr__(m) return tpool.execute(f, *args) def call_xenapi_request(self, method, *args): """Some interactions with dom0, such as interacting with xenstore's param record, require using the xenapi_request method of the session object. This wraps that call on a background thread. """ f = self._session.xenapi_request return tpool.execute(f, method, *args) def async_call_plugin(self, plugin, fn, args): """Call Async.host.call_plugin on a background thread.""" return tpool.execute(self._unwrap_plugin_exceptions, self._session.xenapi.Async.host.call_plugin, self.get_xenapi_host(), plugin, fn, args) def wait_for_task(self, id, task): """Return the result of the given task. The task is polled until it completes. Not re-entrant.""" done = event.Event() self.loop = utils.LoopingCall(self._poll_task, id, task, done) self.loop.start(FLAGS.xenapi_task_poll_interval, now=True) rv = done.wait() self.loop.stop() return rv def _stop_loop(self): """Stop polling for task to finish.""" #NOTE(sandy-walsh) Had to break this call out to support unit tests. if self.loop: self.loop.stop() def _create_session(self, url): """Stubout point. This can be replaced with a mock session.""" return self.XenAPI.Session(url) def _poll_task(self, id, task, done): """Poll the given XenAPI task, and fire the given action if we get a result. """ try: name = self._session.xenapi.task.get_name_label(task) status = self._session.xenapi.task.get_status(task) action = dict( instance_id=int(id), action=name[0:255], # Ensure action is never > 255 error=None) if status == "pending": return elif status == "success": result = self._session.xenapi.task.get_result(task) LOG.info(_("Task [%(name)s] %(task)s status:" " success %(result)s") % locals()) done.send(_parse_xmlrpc_value(result)) else: error_info = self._session.xenapi.task.get_error_info(task) action["error"] = str(error_info) LOG.warn(_("Task [%(name)s] %(task)s status:" " %(status)s %(error_info)s") % locals()) done.send_exception(self.XenAPI.Failure(error_info)) db.instance_action_create(context.get_admin_context(), action) except self.XenAPI.Failure, exc: LOG.warn(exc) done.send_exception(*sys.exc_info()) self._stop_loop() def _unwrap_plugin_exceptions(self, func, *args, **kwargs): """Parse exception details""" try: return func(*args, **kwargs) except self.XenAPI.Failure, exc: LOG.debug(_("Got exception: %s"), exc) if (len(exc.details) == 4 and exc.details[0] == 'XENAPI_PLUGIN_EXCEPTION' and exc.details[2] == 'Failure'): params = None try: params = eval(exc.details[3]) except: raise exc raise self.XenAPI.Failure(params) else: raise except xmlrpclib.ProtocolError, exc: LOG.debug(_("Got exception: %s"), exc) raise def _parse_xmlrpc_value(val): """Parse the given value as if it were an XML-RPC value. This is sometimes used as the format for the task.result field.""" if not val: return val x = xmlrpclib.loads( '<?xml version="1.0"?><methodResponse><params><param>' + val + '</param></params></methodResponse>') return x[0][0]

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13,425

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0

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1

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39ff7e8ae4b95de34d6709bb4cbec6f4eb0587ba

63

py

Python

lang/py/cookbook/v2/source/cb2_1_6_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_1_6_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_1_6_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

largeString = '' for piece in pieces: largeString += piece

15.75

24

0.68254

7

63

6.142857

0.714286

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0.222222

63

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0

1

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null

0

1

0

null

0

2

260803e707f972b3036591c281656b6a93e05a06

669

py

Python

members/migrations/0002_auto_20200409_2207.py

duplxey/NForum

990215e5a841ac054fd3c0a167dee37298a70fb8

[ "MIT" ]

7

2019-11-12T14:01:17.000Z

2022-01-29T19:17:09.000Z

members/migrations/0002_auto_20200409_2207.py

duplxey/NForum

990215e5a841ac054fd3c0a167dee37298a70fb8

[ "MIT" ]

4

2019-12-08T10:03:21.000Z

2020-04-07T20:27:53.000Z

members/migrations/0002_auto_20200409_2207.py

duplxey/NForum

990215e5a841ac054fd3c0a167dee37298a70fb8

[ "MIT" ]

1

2022-01-29T13:44:24.000Z

# Generated by Django 3.0.5 on 2020-04-09 20:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('members', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='alert', options={'ordering': ['-datetime']}, ), migrations.AlterModelOptions( name='userachievement', options={'ordering': ['-datetime']}, ), migrations.AlterField( model_name='userprofile', name='avatar', field=models.ImageField(blank=True, null=True, upload_to='avatars/'), ), ]

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null

0

2

2611b740220bd2513273d982f6a8db0ccee68181

2,120

py

Python

indset/generate/randgen.py

skyman/independent-set

e2b6a2dc231aba5d9391f305d61d556b928e4d3e

[ "MIT" ]

null

indset/generate/randgen.py

skyman/independent-set

e2b6a2dc231aba5d9391f305d61d556b928e4d3e

[ "MIT" ]

null

indset/generate/randgen.py

skyman/independent-set

e2b6a2dc231aba5d9391f305d61d556b928e4d3e

[ "MIT" ]

null

# coding=utf-8 import numpy as np import random import itertools from indset.simulate import Grid, Particle, AlignmentSimulator def generate_random_grid(n_particles, simulator_type, weighted_particle_types, size=None): # weighted particle types is a list of particle types in (single-param initializer, weight) format if n_particles <= 0: raise ValueError("At least 1 particle needs to be generated.") if size is None: width_height = int(n_particles ** 0.5) * 4 size = (width_height, width_height) grid = Grid(size) print "Initialized a grid of size %d, %d" % size total_weight = float(sum(wp[1] for wp in weighted_particle_types)) # Choose the classes for our particles: particle_types = list(np.random.choice([wt[0] for wt in weighted_particle_types], n_particles, True, [wt[1] / total_weight for wt in weighted_particle_types])) # Make a list of valid positions: valid_x = xrange(grid.min[0], grid.max[0] + 1) valid_y = xrange(grid.min[0], grid.max[0] + 1) valid_positions = [x for x in itertools.product(valid_x, valid_y) if grid.is_position_in_bounds(x)] i = 0 for particle_type in particle_types: while True: # Choose a random position for the particle coords = random.choice(list(valid_positions)) if grid.get_particle(coords) is not None: continue particle = particle_type(coords, i) grid.add_particle(particle) try: simulator_type.validate_grid(grid) except ValueError: grid.remove_particle(particle) continue print "Successfully inserted %s #%d" % (type(particle).__name__, i) i += 1 break print "Random grid generation successful" return grid def generate_random_alignment_grid(n_particles, size=None, simulator_type=AlignmentSimulator, base_class=Particle): classes = [(base_class, 1)] return generate_random_grid(n_particles, simulator_type, classes, size)

33.125

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4.758007

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0.077786

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63

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0

null

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1

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null

0

1

0

2

262b97798d77f89816f22be0690cb76b380e53fa

3,317

py

Python

capa/features/extractors/dnfile/insn.py

Stevemaster92/capa

e0786df2ff0e9212f66fa4fdf0ee96adcba21583

[ "Apache-2.0" ]

null

capa/features/extractors/dnfile/insn.py

Stevemaster92/capa

e0786df2ff0e9212f66fa4fdf0ee96adcba21583

[ "Apache-2.0" ]

null

capa/features/extractors/dnfile/insn.py

Stevemaster92/capa

e0786df2ff0e9212f66fa4fdf0ee96adcba21583

[ "Apache-2.0" ]

null

# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: [package root]/LICENSE.txt # 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 __future__ import annotations from typing import TYPE_CHECKING, Dict, Tuple, Iterator, Optional from itertools import chain if TYPE_CHECKING: from dncil.cil.instruction import Instruction from dncil.cil.body import CilMethodBody from capa.features.common import Feature from dncil.clr.token import StringToken from dncil.cil.opcode import OpCodes import capa.features.extractors.helpers from capa.features.insn import API, Number from capa.features.common import String from capa.features.extractors.dnfile.helpers import ( read_dotnet_user_string, get_dotnet_managed_imports, get_dotnet_unmanaged_imports, ) def get_imports(ctx: Dict) -> Dict: if "imports_cache" not in ctx: ctx["imports_cache"] = { token: imp for (token, imp) in chain(get_dotnet_managed_imports(ctx["pe"]), get_dotnet_unmanaged_imports(ctx["pe"])) } return ctx["imports_cache"] def extract_insn_api_features(f: CilMethodBody, bb: CilMethodBody, insn: Instruction) -> Iterator[Tuple[API, int]]: """parse instruction API features""" if insn.opcode not in (OpCodes.Call, OpCodes.Callvirt, OpCodes.Jmp, OpCodes.Calli): return name: str = get_imports(f.ctx).get(insn.operand.value, "") if not name: return if "::" in name: # like System.IO.File::OpenRead yield API(name), insn.offset else: # like kernel32.CreateFileA dll, _, symbol = name.rpartition(".") for name_variant in capa.features.extractors.helpers.generate_symbols(dll, symbol): yield API(name_variant), insn.offset def extract_insn_number_features( f: CilMethodBody, bb: CilMethodBody, insn: Instruction ) -> Iterator[Tuple[Number, int]]: """parse instruction number features""" if insn.is_ldc(): yield Number(insn.get_ldc()), insn.offset def extract_insn_string_features( f: CilMethodBody, bb: CilMethodBody, insn: Instruction ) -> Iterator[Tuple[String, int]]: """parse instruction string features""" if not insn.is_ldstr(): return if not isinstance(insn.operand, StringToken): return user_string: Optional[str] = read_dotnet_user_string(f.ctx["pe"], insn.operand) if user_string is None: return yield String(user_string), insn.offset def extract_features(f: CilMethodBody, bb: CilMethodBody, insn: Instruction) -> Iterator[Tuple[Feature, int]]: """extract instruction features""" for inst_handler in INSTRUCTION_HANDLERS: for (feature, offset) in inst_handler(f, bb, insn): yield feature, offset INSTRUCTION_HANDLERS = ( extract_insn_api_features, extract_insn_number_features, extract_insn_string_features, )

34.195876

117

0.719325

436

3,317

5.330275

0.341743

0.025818

0.027539

0.041308

0.156627

0.111876

0

0.002974

0.189026

3,317

96

118

34.552083

0.860967

0.224299

0

0.114754

0

0.018868

0

1

0.081967

false

0

0.327869

0

0.508197

0

null

0

null

0

1

0

1

0

2

262c0bc0d993d31592f0d2386487ba298492f7b8

2,000

py

Python

CsvAnalyzer.py

nimrodkre/graphAnalyzer

04778d4bbeed9dd09a10a513e9ae5fb7f08a25aa

[ "MIT" ]

1

2020-12-12T09:30:48.000Z

CsvAnalyzer.py

nimrodkre/graphAnalyzer

04778d4bbeed9dd09a10a513e9ae5fb7f08a25aa

[ "MIT" ]

null

CsvAnalyzer.py

nimrodkre/graphAnalyzer

04778d4bbeed9dd09a10a513e9ae5fb7f08a25aa

[ "MIT" ]

null

import pandas as pd from GraphAnalyzerError import GraphAnalyzerError import math class CsvAnalyzer: def __init__(self, filename, x_column_name, y_column_name, x_error_name, y_error_name): print(filename) self.data = pd.read_csv(filename) self.x_column_name = x_column_name self.y_column_name = y_column_name self.x_error_name = x_error_name self.y_error_name = y_error_name def get_x_data(self): try: return [data for data in self.data[self.x_column_name] if not math.isnan(data)] except KeyError: raise GraphAnalyzerError( "The following column does not exist in given csv: {}".format( self.x_column_name)) def get_y_data(self): try: return [data for data in self.data[self.y_column_name] if not math.isnan(data)] except KeyError: raise GraphAnalyzerError( "The following column does not exist in given csv: {}".format( self.x_column_name)) def get_x_error_data(self): if not self.x_error_name: return [0 for i in range(len(self.get_x_data()))] try: return [data if not math.isnan(data) else 0 for data in self.data[self.x_error_name]] except KeyError: raise GraphAnalyzerError( "The following column does not exist in given csv: {}".format( self.x_error_name)) def get_y_error_data(self): if not self.y_error_name: return [0 for i in range(len(self.get_x_data()))] try: return [data if not math.isnan(data) else 0 for data in self.data[self.y_error_name]] except KeyError: raise GraphAnalyzerError( "The following column does not exist in given csv: {}".format( self.y_error_name))

36.363636

78

0.587

264

2,000

4.208333

0.166667

0.09721

0.059406

0.054005

0.780378

0.708371

0.668767

0.665167

0

0.00303

0.34

2,000

54

79

37.037037

0.838636

0

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0

0.104

0

1

0.104167

false

0

0.0625

0

0.3125

0.020833

0

null

0

1

0

1

0

null

0

2

262f388f79df7b2fb57047f69a8ca61d4c20abbc

727

py

Python

account_verification_flask/services/twilio_services.py

TwilioDevEd/account-verification-flask

f2da4ccfe0ba16f71828058ca384de0c196143c3

[ "MIT" ]

8

2015-11-18T20:50:04.000Z

2019-05-14T17:18:57.000Z

account_verification_flask/services/twilio_services.py

TwilioDevEd/account-verification-flask

f2da4ccfe0ba16f71828058ca384de0c196143c3

[ "MIT" ]

96

2015-11-23T21:31:26.000Z

2021-08-02T05:52:44.000Z

account_verification_flask/services/twilio_services.py

TwilioDevEd/account-verification-flask

f2da4ccfe0ba16f71828058ca384de0c196143c3

[ "MIT" ]

9

2015-11-18T20:50:07.000Z

2020-10-24T15:28:49.000Z

import account_verification_flask.utilities from account_verification_flask.utilities.settings import TwilioSettings from twilio.rest import Client class TwilioServices: twilio_client = None def __init__(self): if TwilioServices.twilio_client is None: TwilioServices.twilio_client = Client( TwilioSettings.api_key(), TwilioSettings.api_secret(), TwilioSettings.account_sid(), ) def send_registration_success_sms(self, to_number): self.twilio_client.messages.create( body=account_verification_flask.utilities.Signup_Complete, to=to_number, from_=TwilioSettings.phone_number(), )

31.608696

72

0.68088

73

727

6.452055

0.493151

0.101911

0.152866

0.210191

0

0.253095

727

22

73

33.045455

0.865562

0

null

0

0.166667

null

0

null

0

1

0

null

0

1

0

2

263c7b00a4f6a28434d6e1dd48536ccedabff5be

256

py

Python

setup.py

palash25/GitterPy

95fc7230ce2ec0ad12566c4aa71af0cdb7b03725

[ "MIT" ]

3

2018-01-15T16:27:04.000Z

2018-03-11T18:05:08.000Z

setup.py

palash25/gitter-cli

95fc7230ce2ec0ad12566c4aa71af0cdb7b03725

[ "MIT" ]

null

setup.py

palash25/gitter-cli

95fc7230ce2ec0ad12566c4aa71af0cdb7b03725

[ "MIT" ]

null

from setuptools import setup setup( name='GitterCLI', version='1.0', py_modules=['cli'], install_requires=[ 'Click', 'requests', ], entry_points=''' [console_scripts] gitterpy=cli:cli ''', )

16

28

0.527344

24

256

5.458333

0.875

0

0.011494

0.320313

256

16

29

16

0.741379

0

0.326848

0

1

0

true

0

0.071429

0

0.071429

0

1

0

null

0

null

0

1

0

2

26401bd036a50bd140a56d1b48458b8ed688b803

361

py

Python

ex0/application.py

hespinoza01/CS50x.ni-Week14

524c3396948e83462050f440ddcb2ddef0d2a572

[ "MIT" ]

2

2019-03-21T19:56:45.000Z

2019-03-24T17:59:42.000Z

ex0/application.py

hespinoza01/CS50x.ni-Week14

524c3396948e83462050f440ddcb2ddef0d2a572

[ "MIT" ]

null

ex0/application.py

hespinoza01/CS50x.ni-Week14

524c3396948e83462050f440ddcb2ddef0d2a572

[ "MIT" ]

null

#Importar Framework y Utilidades from flask import Flask,redirect, render_template, session,url_for #Declarar que es una aplicacion web app=Flask(__name__) #Definir comportamiento con URL vacia @app.route("/") def main(): return render_template("index.html") @app.route("/<string:name>") def name(name): return render_template("layout.html",name=name)

27.769231

66

0.761773

51

361

5.235294

0.647059

0.157303

0.149813

0

0.113573

361

12

67

30.083333

0.834375

0.279778

0

0.140078

0

1

0.25

false

0

0.125

0.25

0.625

0

null

0

null

0

1

0

1

0

2

264f01b08e0644d3f7aea42c69e1721df6dd3602

2,232

py

Python

coursera_python_specialization/px6_1.py

missulmer/Pythonstudy

fc811570cafaa383ac98f489028583081932b3e5

[ "CC0-1.0" ]

null

coursera_python_specialization/px6_1.py

missulmer/Pythonstudy

fc811570cafaa383ac98f489028583081932b3e5

[ "CC0-1.0" ]

null

coursera_python_specialization/px6_1.py

missulmer/Pythonstudy

fc811570cafaa383ac98f489028583081932b3e5

[ "CC0-1.0" ]

null

# comment on each line # Here we are setting variables, in this case X, the x variable creates within it a formatted variable which is also set in this creation. x = "There are %d types of people." % 10 # creating the variable binary binary = "binary" # creating variable do_not do_not = "don't" # creating variable y, like x we are creating a string that calls formatted variables into it. # first example of string within string. y = "Those who don't know %s and those who %s." % (binary, do_not) # printing the strings created as variables which also call formatted variables into it. print x print y # these strings call in a variable that has variables within in it. # these are also 'string inside of string' examples print "I said: %r." % x print "I also said: '%s'." % y # we again create variables, joke_evaluation calls a formatted variable within it. # another string within a string example. hilarious = False joke_evaluation = "Isn't that joke funny?! %r" # this sting calls the joke_evaluation variable and then calls the variable hilarious which # returns false as an answer, the last string within string example. print joke_evaluation % hilarious # here we are introduced to formatters w and e. w which prints the left side of a string # and e prints the right side. They will be printed together to create a complete sentence. w = "This is the left side of..." e = "a string with a right side." # here is how they are placed together, and will print # "This is the left side of...a string with a right side." print w + e # more on formatters. %r is best for debugging, and other formats are for actually displaying # variables. It is for debugging because it displays a "raw" data variable. # %s and %d the these are used to display actual variables to people. # why single (') quotes inside the string and double (") outside. # style choice. It makes neater looking code to read. # Review of what was introduced in this lesson # print # variable creation # placing variables within strings # placing multipul variables within a string # the formatter # %r = raw data # %d = pull a variable # %s = pull a variable # w = pull the left side of a string # e = pull the right side of a string

36.590164

138

0.738351

373

2,232

4.399464

0.353887

0.034126

0.026813

0.031688

0.073126

0

0.001117

0.197581

2,232

61

139

36.590164

0.915131

0.78629

0

0.427928

0

null

0

null

0.428571

0

null

0

null

0

1

0

1

0

2

2650631b7c5cdb9075aee7842270972befea683e

971

py

Python

envs/_interface.py

bryanlincoln/gvgai-rl-models

9d1ca1ab35a911ba920c77b166b63ca6705895b4

[ "MIT" ]

1

2019-07-08T21:46:07.000Z

envs/_interface.py

bryanlincoln/gvgai-rl-models

9d1ca1ab35a911ba920c77b166b63ca6705895b4

[ "MIT" ]

null

envs/_interface.py

bryanlincoln/gvgai-rl-models

9d1ca1ab35a911ba920c77b166b63ca6705895b4

[ "MIT" ]

null

import gym import logging class EnvInterface: def __init__(self, env_name, _img_size=84): self._img_size = _img_size self.env = gym.make(env_name) self.n_actions = self.env.action_space.n self.n_obs = self.env.observation_space.shape[0] self.name = env_name logging.info("Instantiated " + env_name) def step(self, action): state, reward, done, info = self.env.step(action) state = self._preprocess(state) return state, reward, done, info def reset(self): state = self._preprocess(self.env.reset()) return state def render(self): self.env.render() def factory(env_name): raise NotImplementedError() return None def _preprocess(self, state): raise NotImplementedError() return None def close(self): self.env.close() def sample_action(self): return self.env.action_space.sample()

24.275

57

0.622039

121

971

4.793388

0.31405

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null

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1

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1

0

2

267d46fae207da1fcf26a545ba4b71d2416ec82c

231

py

Python

Core/Block_1/R1105_Factory.py

BernardoB95/Extrator_SPEDFiscal

10b4697833c561d24654251da5f22d044f03fc16

[ "MIT" ]

1

2021-04-25T13:53:20.000Z

Core/Block_1/R1105_Factory.py

BernardoB95/Extrator_SPEDFiscal

10b4697833c561d24654251da5f22d044f03fc16

[ "MIT" ]

null

Core/Block_1/R1105_Factory.py

BernardoB95/Extrator_SPEDFiscal

10b4697833c561d24654251da5f22d044f03fc16

[ "MIT" ]

null

from Core.IFactory import IFactory from Regs.Block_1 import R1105 class R1105Factory(IFactory): def create_block_object(self, line): self.r1105 = _r1105 = R1105() _r1105.reg_list = line return _r1105

21

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0.6

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null

0

1

0

null

0

1

0

2

268f9091ca19a1a8965d32cf022173145ab42b50

223

py

Python

snyk/test_utils.py

husband-inc/pysnyk

6019690642cc9ca392df5cea964487ec300f3318

[ "MIT" ]

1

2020-03-02T02:46:23.000Z

snyk/test_utils.py

husband-inc/pysnyk

6019690642cc9ca392df5cea964487ec300f3318

[ "MIT" ]

null

snyk/test_utils.py

husband-inc/pysnyk

6019690642cc9ca392df5cea964487ec300f3318

[ "MIT" ]

1

2020-02-15T03:51:06.000Z

from snyk.utils import snake_to_camel class TestUtils(object): def test_snake_case_to_camel(self): snake = "testing_this_value" camel = "testingThisValue" assert camel == snake_to_camel(snake)

24.777778

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0

0.215247

223

8

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null

0

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null

0

2

2690a3a7ba6eb7027cbb85f1d0008dd01366d00f

295

py

Python

indicators/swing_index/swing_index_ind.py

pl-greenplum/trading-system-methods

40d0186b300f962087140542a7e87cf9df1747b6

[ "Apache-2.0" ]

7

2021-06-26T12:19:43.000Z

2022-01-23T16:14:46.000Z

indicators/swing_index/swing_index_ind.py

pl-greenplum/trading-system-methods

40d0186b300f962087140542a7e87cf9df1747b6

[ "Apache-2.0" ]

null

indicators/swing_index/swing_index_ind.py

pl-greenplum/trading-system-methods

40d0186b300f962087140542a7e87cf9df1747b6

[ "Apache-2.0" ]

2

2021-03-07T16:38:32.000Z

2021-03-11T06:05:16.000Z

import backtrader as bt from backtrader.indicator import Indicator import math class SwingIndexIndication(Indicator): lines=('swing_index_ind',) params = dict( period=10 ) def __init__(self): self.addminperiod(self.p.period) def next(self): pass

17.352941

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0.667797

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295

5.617647

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0.157068

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null

0

null

0

1

0

1

0

2

13fbcfe9d19b62c6c4d59ce85c5106fab3bc567f

1,879

py

Python

ggpy/cruft/autocode/AbortRequest.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

1

2015-01-26T19:07:45.000Z

ggpy/cruft/autocode/AbortRequest.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

null

ggpy/cruft/autocode/AbortRequest.py

hobson/ggpy

4e6e6e876c3a4294cd711647051da2d9c1836b60

[ "MIT" ]

null

#!/usr/bin/env python """ generated source for module AbortRequest """ # package: org.ggp.base.player.request.grammar import org.ggp.base.player.gamer.Gamer import org.ggp.base.player.gamer.event.GamerAbortedMatchEvent import org.ggp.base.player.gamer.event.GamerUnrecognizedMatchEvent import org.ggp.base.player.gamer.exception.AbortingException import org.ggp.base.util.logging.GamerLogger class AbortRequest(Request): """ generated source for class AbortRequest """ gamer = Gamer() matchId = str() def __init__(self, gamer, matchId): """ generated source for method __init__ """ super(AbortRequest, self).__init__() self.gamer = gamer self.matchId = matchId def getMatchId(self): """ generated source for method getMatchId """ return self.matchId def process(self, receptionTime): """ generated source for method process """ # First, check to ensure that this abort request is for the match # we're currently playing. If we're not playing a match, or we're # playing a different match, send back "busy". if self.gamer.getMatch() == None or not self.gamer.getMatch().getMatchId() == self.matchId: GamerLogger.logError("GamePlayer", "Got abort message not intended for current game: ignoring.") self.gamer.notifyObservers(GamerUnrecognizedMatchEvent(self.matchId)) return "busy" self.gamer.getMatch().markAborted() self.gamer.notifyObservers(GamerAbortedMatchEvent()) try: self.gamer.abort() except AbortingException as e: GamerLogger.logStackTrace("GamePlayer", e) self.gamer.setRoleName(None) self.gamer.setMatch(None) return "aborted" def __str__(self): """ generated source for method toString """ return "abort"

36.134615

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0

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cd0c6f53ea0c585cd4a49bdc3e7fdcfe8368d06e

429

py

Python

ScoutingWebsite/Scouting2017/view/submissions/submit_pick_list.py

ArcticWarriors/scouting-app

3411dfc6ddca3728889460cc372716847fff5939

[ "MIT" ]

4

2017-03-20T21:29:14.000Z

2018-02-20T17:52:49.000Z

ScoutingWebsite/Scouting2017/view/submissions/submit_pick_list.py

ArcticWarriors/scouting-app

3411dfc6ddca3728889460cc372716847fff5939

[ "MIT" ]

9

2016-03-04T01:09:41.000Z

2016-09-29T00:04:53.000Z

ScoutingWebsite/Scouting2017/view/submissions/submit_pick_list.py

ArcticWarriors/scouting-app

3411dfc6ddca3728889460cc372716847fff5939

[ "MIT" ]

3

2016-02-23T03:28:17.000Z

2016-05-12T13:12:49.000Z

''' Created on Mar 4, 2017 @author: PJ ''' from BaseScouting.views.submissions.submit_pick_list import BaseSubmitPickList from Scouting2017.model.reusable_models import PickList, Competition, Team class SubmitPickList2017(BaseSubmitPickList): def __init__(self): groupings = ["Overall", "Fuel", "Gear", "Defense", "Do Not Pick"] BaseSubmitPickList.__init__(self, groupings, Competition, PickList, Team)

25.235294

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429

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null

0

null

0

1

0

1

0

2

cd234a4802dc3318047e4950e2500111363ab932

523

py

Python

MUNDO 2/ex039.py

athavus/Curso-em-video-Python-3

a32be95adbccfcbe512a1ed30d3859141a230b5e

[ "MIT" ]

1

2020-11-12T14:03:32.000Z

MUNDO 2/ex039.py

athavus/Curso-em-video-Python-3

a32be95adbccfcbe512a1ed30d3859141a230b5e

[ "MIT" ]

null

MUNDO 2/ex039.py

athavus/Curso-em-video-Python-3

a32be95adbccfcbe512a1ed30d3859141a230b5e

[ "MIT" ]

1

2021-01-05T22:18:46.000Z

from datetime import date ano = int(input('Informe o seu ano de nascimento: ')) anoatual = date.today().year cont = (anoatual - ano) if cont < 18: print('Você ainda vai se alistar ao serviço de alistamento!') print(f'Faltam {18 - cont} anos para você se alistar') elif cont == 18: print('É a hora de se alistar ao serviço de alistamento!') else: print('Já passou da hora de se alistar ao o seviço de alistamento!') print(f'Já passaram {cont - 18} anos do tempo que você deveria se alistar')

40.230769

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null

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null

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1

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2

cd23aa4894c6248cbe4433035f8fead919d9620c

546

py

Python

src/core/migrations/0005_auto_20200119_1205.py

creyD/asiimov

a819962d8f2a7ce9921e0f3cbe9b44ab10967c6f

[ "MIT" ]

1

2021-06-09T20:27:15.000Z

src/core/migrations/0005_auto_20200119_1205.py

creyD/asiimov

a819962d8f2a7ce9921e0f3cbe9b44ab10967c6f

[ "MIT" ]

8

2020-09-26T11:24:13.000Z

2021-06-10T18:08:07.000Z

src/core/migrations/0005_auto_20200119_1205.py

creyD/asiimov

a819962d8f2a7ce9921e0f3cbe9b44ab10967c6f

[ "MIT" ]

null

# Generated by Django 3.0.2 on 2020-01-19 11:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0004_auto_20200119_1201'), ] operations = [ migrations.AlterField( model_name='iteminstance', name='float', field=models.FloatField(null=True), ), migrations.AlterField( model_name='iteminstance', name='paintseed', field=models.IntegerField(null=True), ), ]

22.75

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546

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0

null

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1

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1

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null

0

2

cd2f58ed683ae62a30047cb312c44dcf9bcd51fa

7,621

py

Python

crowdsourcing/migrations/0000_get_worker_ratings_fn.py

AKSHANSH47/crowdsource-platform2

a31446d44bc10dca56a0d534cab226947a6bbb4e

[ "MIT" ]

null

crowdsourcing/migrations/0000_get_worker_ratings_fn.py

AKSHANSH47/crowdsource-platform2

a31446d44bc10dca56a0d534cab226947a6bbb4e

[ "MIT" ]

null

crowdsourcing/migrations/0000_get_worker_ratings_fn.py

AKSHANSH47/crowdsource-platform2

a31446d44bc10dca56a0d534cab226947a6bbb4e

[ "MIT" ]

2

2020-01-27T05:35:50.000Z

2020-02-29T12:55:39.000Z

# -*- coding: utf-8 -*- from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('crowdsourcing', '0000_get_requester_ratings_fn'), ] operations = [ migrations.RunSQL(''' CREATE OR REPLACE FUNCTION get_worker_ratings(IN worker_profile_id INTEGER, IN true_avg BOOLEAN DEFAULT FALSE) RETURNS TABLE(requester_id INTEGER, worker_rating DOUBLE PRECISION, worker_avg_rating DOUBLE PRECISION) AS $$ SELECT r.id requester_id, worker_ratings.weight weight, CASE WHEN worker_ratings.number_of_ratings = 1 THEN CASE WHEN $2 = TRUE THEN worker_ratings.avg_rw_rating ELSE NULL END ELSE (worker_ratings.avg_rw_rating * worker_ratings.number_of_ratings - worker_ratings.weight) / (worker_ratings.number_of_ratings - 1) END average_rating FROM crowdsourcing_requester r LEFT OUTER JOIN ( SELECT wrr.target_id, wrr.origin_id, wrr.weight, avg_rw_rating, number_of_ratings FROM crowdsourcing_workerrequesterrating wrr INNER JOIN ( SELECT recent_req_rating.target_id, AVG(recent_req_rating.weight) AS avg_rw_rating, COUNT( recent_req_rating.target_id) number_of_ratings FROM ( SELECT wrr.weight, wrr.target_id FROM crowdsourcing_workerrequesterrating wrr INNER JOIN ( SELECT origin_id, target_id, MAX( last_updated) AS max_date FROM crowdsourcing_workerrequesterrating WHERE target_id=$1 AND origin_type='requester' GROUP BY origin_id, target_id ) most_recent ON most_recent.origin_id = wrr.origin_id AND most_recent.target_id = wrr.target_id AND wrr.last_updated = most_recent.max_date AND wrr.target_id = $1 AND wrr.origin_type = 'requester') recent_req_rating GROUP BY recent_req_rating.target_id ) avg_rw_rating ON wrr.target_id = avg_rw_rating.target_id INNER JOIN ( SELECT origin_id, target_id, MAX(last_updated) AS max_date FROM crowdsourcing_workerrequesterrating WHERE origin_type='requester' GROUP BY origin_id, target_id ) most_recent ON wrr.origin_id = most_recent.origin_id AND wrr.target_id = most_recent.target_id AND wrr.last_updated = most_recent.max_date AND wrr.origin_type = 'requester') worker_ratings ON r.profile_id = worker_ratings.origin_id $$ LANGUAGE SQL STABLE RETURNS NULL ON NULL INPUT; ''') ]

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null

0

2

cd5a6bc0af0c294f3b59ad0373a168f95b2b6f80

6,293

py

Python

skdist/distribute/_defaults.py

synapticarbors/sk-dist

e5729e62fbdb7b8513be1c4fd0d463d8aec5b837

[ "Apache-2.0" ]

292

2019-08-29T20:31:05.000Z

2022-03-25T23:14:48.000Z

skdist/distribute/_defaults.py

synapticarbors/sk-dist

e5729e62fbdb7b8513be1c4fd0d463d8aec5b837

[ "Apache-2.0" ]

20

2019-09-05T08:39:05.000Z

2021-07-18T23:35:14.000Z

skdist/distribute/_defaults.py

synapticarbors/sk-dist

e5729e62fbdb7b8513be1c4fd0d463d8aec5b837

[ "Apache-2.0" ]

61

2019-09-02T21:40:03.000Z

2022-02-17T18:10:29.000Z

""" Default feature encoding functions and pipelines for automated feature transformation. """ from sklearn.pipeline import Pipeline from sklearn.preprocessing import StandardScaler, OneHotEncoder from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction import DictVectorizer from sklearn.feature_selection import VarianceThreshold from sklearn.impute import SimpleImputer from ..preprocessing import ( ImputeNull, SelectField, FeatureCast, LabelEncoderPipe, HashingVectorizerChunked, MultihotEncoder, ) def tokenizer(x): """ Trivial tokenizer """ return x dict_encoder = lambda c: [ ( "{0}_dict_encoder".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull({})), ("vec", DictVectorizer()), ] ), ) ] onehot_encoder = lambda c: [ ( "{0}_onehot".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("cast", FeatureCast(cast_type=str)), ("fillna", ImputeNull("")), ( "vec", CountVectorizer( token_pattern=None, tokenizer=tokenizer, binary=True, decode_error="ignore", ), ), ] ), ) ] multihot_encoder = lambda c: [ ( "{0}_multihot".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull([])), ("vec", MultihotEncoder()), ] ), ) ] numeric_encoder = lambda c: [ ( "{0}_scaler".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c])), ("imputer", SimpleImputer(strategy="median")), ("scaler", StandardScaler(copy=False)), ] ), ) ] _default_encoders = { "small": { "string_vectorizer": lambda c: [ ( "{0}_word_vec".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull(" ")), ( "vec", HashingVectorizerChunked( ngram_range=(1, 2), analyzer="word", decode_error="ignore", ), ), ("var_thresh", VarianceThreshold()), ] ), ) ], "onehotencoder": onehot_encoder, "multihotencoder": multihot_encoder, "numeric": numeric_encoder, "dict": dict_encoder, }, "medium": { "string_vectorizer": lambda c: [ ( "{0}_word_vec".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull(" ")), ( "vec", HashingVectorizerChunked( ngram_range=(1, 3), analyzer="word", decode_error="ignore", ), ), ("var_thresh", VarianceThreshold()), ] ), ), ( "{0}_char_vec".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull(" ")), ( "vec", HashingVectorizerChunked( ngram_range=(3, 4), analyzer="char_wb", decode_error="ignore", ), ), ("var_thresh", VarianceThreshold()), ] ), ), ], "onehotencoder": onehot_encoder, "multihotencoder": multihot_encoder, "numeric": numeric_encoder, "dict": dict_encoder, }, "large": { "string_vectorizer": lambda c: [ ( "{0}_word_vec".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull(" ")), ( "vec", HashingVectorizerChunked( ngram_range=(1, 3), analyzer="word", decode_error="ignore", ), ), ("var_thresh", VarianceThreshold()), ] ), ), ( "{0}_char_vec".format(c), Pipeline( steps=[ ("var", SelectField(cols=[c], single_dimension=True)), ("fillna", ImputeNull(" ")), ( "vec", HashingVectorizerChunked( ngram_range=(2, 5), analyzer="char_wb", decode_error="ignore", ), ), ("var_thresh", VarianceThreshold()), ] ), ), ], "onehotencoder": onehot_encoder, "multihotencoder": multihot_encoder, "numeric": numeric_encoder, "dict": dict_encoder, }, }

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1

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1

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null

0

2

cd5e0da97aec827cfffd414291d6ad01fb88752e

4,319

py

Python

time_series_example.py

techBeck03/intersight-python-utils

ad8c909e73d345f88720a90de2587878d7403171

[ "MIT" ]

2

2021-10-05T19:57:14.000Z

2022-03-08T00:56:45.000Z

time_series_example.py

techBeck03/intersight-python-utils

ad8c909e73d345f88720a90de2587878d7403171

[ "MIT" ]

null

time_series_example.py

techBeck03/intersight-python-utils

ad8c909e73d345f88720a90de2587878d7403171

[ "MIT" ]

4

2021-01-13T15:38:31.000Z

2021-10-04T21:58:38.000Z

import logging from pprint import pformat import traceback import intersight.api.telemetry_api import intersight.model.telemetry_druid_data_source import intersight.model.telemetry_druid_period_granularity import intersight.model.telemetry_druid_query_context import intersight.model.telemetry_druid_time_series_request import credentials FORMAT = '%(asctime)-15s [%(levelname)s] [%(filename)s:%(lineno)s] %(message)s' logging.basicConfig(format=FORMAT, level=logging.DEBUG) logger = logging.getLogger('openapi') def get_time_series(api_client): """Query Druid time series""" # Create an instance of the API telemetry service. api_instance = intersight.api.telemetry_api.TelemetryApi(api_client) logger.info("Query 'ucs_ether_port_stat' time series") req = intersight.model.telemetry_druid_time_series_request.TelemetryDruidTimeSeriesRequest( query_type="timeseries", data_source=intersight.model.telemetry_druid_data_source.TelemetryDruidDataSource( type="table", name="ucs_ether_port_stat", ), intervals=[ "2021-01-01T00:00:00.000Z/2021-01-15T00:00:00.000Z", ], granularity=intersight.model.telemetry_druid_period_granularity.TelemetryDruidPeriodGranularity( type="period", period="P1D", ), context=intersight.model.telemetry_druid_query_context.TelemetryDruidQueryContext( timeout=30, query_id="ucs_ether_port_stat-QueryIdentifier", ), ) api_response = api_instance.query_telemetry_time_series( telemetry_druid_time_series_request=req, ) logger.info(pformat(api_response)) ########################## logger.info("Query 'device_connector' time series") req = intersight.model.telemetry_druid_time_series_request.TelemetryDruidTimeSeriesRequest( query_type="timeseries", data_source=intersight.model.telemetry_druid_data_source.TelemetryDruidDataSource( type="table", name="device_connector", ), intervals=[ "2021-01-01T00:00:00.000Z/2021-01-15T00:00:00.000Z", ], granularity=intersight.model.telemetry_druid_period_granularity.TelemetryDruidPeriodGranularity( type="period", period="P1D", ), context=intersight.model.telemetry_druid_query_context.TelemetryDruidQueryContext( timeout=30, query_id="device_connector-QueryIdentifier", ), ) api_response = api_instance.query_telemetry_time_series( telemetry_druid_time_series_request=req, ) logger.info(pformat(api_response)) ########################## logger.info("Query 'PSU stat' time series") req = intersight.model.telemetry_druid_time_series_request.TelemetryDruidTimeSeriesRequest( aggregations=[ intersight.model.telemetry_druid_aggregator.TelemetryDruidAggregator( field_name="sumEnergyConsumed", type="doubleSum", name="energyConsumed", field_names=["sumEnergyConsumed"] ), ], query_type="timeseries", data_source=intersight.model.telemetry_druid_data_source.TelemetryDruidDataSource( type="table", name="psu_stat", ), intervals=[ "2021-01-01T00:00:00.000Z/2021-01-15T00:00:00.000Z", ], granularity=intersight.model.telemetry_druid_period_granularity.TelemetryDruidPeriodGranularity( type="period", period="P1D", ), context=intersight.model.telemetry_druid_query_context.TelemetryDruidQueryContext( timeout=30, query_id="psu_stat-QueryIdentifier", ), ) api_response = api_instance.query_telemetry_time_series( telemetry_druid_time_series_request=req, ) logger.info(pformat(api_response)) def main(): # Configure API key settings for authentication api_client = credentials.config_credentials() try: # Get example time series data get_time_series(api_client) except intersight.OpenApiException as e: logger.error("Exception when calling API: %s\n" % e) traceback.print_exc() if __name__ == "__main__": main()

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null

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cd6b49e56d3bd274c107bdc5b303780623542c29

579

py

Python

Optimizing_Python_Code/Exercise Files/Ch02/02_03/tasks.py

shaunryan/PythonReference

a4d1ba3e4f4279523463fdf7457effc2861d9144

[ "MIT" ]

3

2020-09-30T18:21:07.000Z

2021-05-25T14:36:50.000Z

Optimizing_Python_Code/Exercise Files/Ch02/02_03/tasks.py

shaunryan/PythonReference

a4d1ba3e4f4279523463fdf7457effc2861d9144

[ "MIT" ]

1

2020-09-26T06:40:30.000Z

Optimizing_Python_Code/Exercise Files/Ch02/02_03/tasks.py

shaunryan/PythonReference

a4d1ba3e4f4279523463fdf7457effc2861d9144

[ "MIT" ]

2

2020-09-26T00:21:41.000Z

2021-11-16T13:45:41.000Z

"""Task queue - deque example""" class TaskQueue: """Task queue using list""" def __init__(self): self._tasks = [] def push(self, task): self._tasks.insert(0, task) def pop(self): return self._tasks.pop() def __len__(self): return len(self._tasks) def test_queue(count=100): tq = TaskQueue() for i in range(count): tq.push(i) assert len(tq) == i + 1 for i in range(count): assert tq.pop() == i assert len(tq) == count - i - 1 if __name__ == '__main__': test_queue()

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null

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1

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cd77ceca11eeb9552ed9c15f94afe44a458b0111

1,084

py

Python

tests/widgets/test_ui_hidden.py

amsico/pyqtschema

27fdc3c56bcef6975f6cd2624859e43f446320a1

[ "MIT" ]

1

2022-02-17T09:04:13.000Z

tests/widgets/test_ui_hidden.py

amsico/pyqtschema

27fdc3c56bcef6975f6cd2624859e43f446320a1

[ "MIT" ]

12

2022-01-28T22:31:46.000Z

2022-02-09T23:06:07.000Z

tests/widgets/test_ui_hidden.py

amsico/pyqtschema

27fdc3c56bcef6975f6cd2624859e43f446320a1

[ "MIT" ]

null

import pytest # see also issue https://github.com/amsico/pyqtschema/issues/12 from pydantic import BaseModel from pyqtschema.utils import build_example_widget class Simple(BaseModel): string: str integer: int schema = Simple.schema() def test_hide_widget(qtbot): ui_schema = {'string': {'ui:hidden': True}} widget = build_example_widget(schema, ui_schema=ui_schema) widget.show() qtbot.addWidget(widget) assert not widget.widget.widgets['string'].isVisible() assert widget.widget.widgets['integer'].isVisible() assert widget.widget.widgets['string'].isEnabled() assert widget.widget.widgets['integer'].isEnabled() def test_disable_widget(qtbot): ui_schema = {'integer': {'ui:disabled': True}} widget = build_example_widget(schema, ui_schema=ui_schema) widget.show() qtbot.addWidget(widget) assert widget.widget.widgets['string'].isVisible() assert widget.widget.widgets['integer'].isVisible() assert widget.widget.widgets['string'].isEnabled() assert not widget.widget.widgets['integer'].isEnabled()

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null

0

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cd91ac6f93e0904258a0755df83294d1fe7b0f1f

6,019

py

Python

test/test_processors.py

fkshom/ivs-alarm

d2d1069e0ce95d25cc1e1747cdaa6349412c9ded

[ "MIT" ]

null

test/test_processors.py

fkshom/ivs-alarm

d2d1069e0ce95d25cc1e1747cdaa6349412c9ded

[ "MIT" ]

null

test/test_processors.py

fkshom/ivs-alarm

d2d1069e0ce95d25cc1e1747cdaa6349412c9ded

[ "MIT" ]

null

import unittest from unittest import mock from logging import basicConfig, getLogger, DEBUG import ivs_alarm.processors from email.mime.text import MIMEText from email import message_from_file basicConfig(level=DEBUG, format="%(levelname)-5s - %(filename)s(L%(lineno) 3d) - %(name)s - %(message)s") class TestProcessors_proc_nothing(unittest.TestCase): def setUp(self): self.mails = [] with open('test/fixtures/have_one_event.eml') as f: self.mails.append(message_from_file(f)) def tearDown(self): pass def test_normal(self): # 準備 # テスト new_mails = ivs_alarm.processors.proc_nothing(self.mails) # 結果確認 self.assertEqual(len(new_mails), len(self.mails)) self.assertEqual(new_mails[0]['Subject'], self.mails[0]['Subject']) class TestProcessors_change_to_address(unittest.TestCase): def setUp(self): self.mails = [] with open('test/fixtures/have_one_event.eml') as f: self.mails.append(message_from_file(f)) mock_get_config = mock.patch('ivs_alarm.processors.get_config') self.mock_get_config = mock_get_config.start() self.addCleanup(mock_get_config.stop) def tearDown(self): pass def test_normal(self): # 準備 self.mock_get_config.return_value = { "global":{'new_to_address': 'new_to@example.com'} } # テスト new_mails = ivs_alarm.processors.change_to_address(self.mails) # 結果確認 self.assertEqual(len(new_mails), len(self.mails)) self.assertEqual(new_mails[0]['To'], 'new_to@example.com') self.assertEqual(new_mails[0]['Cc'], None) class TestProcessors_split_body_by_event(unittest.TestCase): def setUp(self): self.mails = [] with open('test/fixtures/have_many_events.eml') as f: self.mails.append(message_from_file(f)) mock_get_config = mock.patch('ivs_alarm.processors.get_config') self.mock_get_config = mock_get_config.start() self.addCleanup(mock_get_config.stop) def tearDown(self): pass def test_normal(self): # 準備 self.mock_get_config.return_value = { } # テスト new_mails = ivs_alarm.processors.split_body_by_event(self.mails) # 結果確認 self.assertEqual(len(new_mails), 2) self.assertEqual(new_mails[0]['To'], 'to@example.com') self.assertEqual(new_mails[0]['Cc'], 'cc@example.com') self.assertIn("event1", new_mails[0].get_payload()) self.assertEqual(new_mails[1]['To'], 'to@example.com') self.assertEqual(new_mails[1]['Cc'], 'cc@example.com') self.assertIn("event2", new_mails[1].get_payload()) class TestProcessors_add_tag_to_subject(unittest.TestCase): def setUp(self): self.mails = [] with open('test/fixtures/have_one_event.eml') as f: self.mails.append(message_from_file(f)) with open('test/fixtures/have_one_event_for_default_tag.eml') as f: self.mails.append(message_from_file(f)) mock_get_config = mock.patch('ivs_alarm.processors.get_config') self.mock_get_config = mock_get_config.start() self.addCleanup(mock_get_config.stop) def tearDown(self): pass def test_normal(self): # 準備 self.mock_get_config.return_value = { "add_tag_to_subject":[ { "name": "first tag rule", "condition": "event1", "prepend_tag": "[PREPENDTAG]", "append_tag": "[APPENDTAG]" }, { "name": "default tag rule", "condition": ".*", "prepend_tag": "[DEFAULT]", "append_tag": "[DEFAULT]" } ] } # テスト new_mails = ivs_alarm.processors.add_tag_to_subject(self.mails) # 結果確認 self.assertEqual(len(new_mails), 2) self.assertEqual(new_mails[0]['To'], 'to@example.com') self.assertEqual(new_mails[0]['Cc'], 'cc@example.com') self.assertIn('[PREPENDTAG]', new_mails[0]['Subject']) self.assertIn('[APPENDTAG]', new_mails[0]['Subject']) self.assertNotIn('[DEFAULT]', new_mails[0]['Subject']) self.assertEqual(new_mails[1]['To'], 'to@example.com') self.assertEqual(new_mails[1]['Cc'], 'cc@example.com') self.assertNotIn('[PREPENDTAG]', new_mails[1]['Subject']) self.assertNotIn('[APPENDTAG]', new_mails[1]['Subject']) self.assertIn('[DEFAULT]', new_mails[1]['Subject']) class TestProcessors_ignore_mail(unittest.TestCase): def setUp(self): self.mails = [] with open('test/fixtures/have_one_event_to_ignore.eml') as f: self.mails.append(message_from_file(f)) with open('test/fixtures/have_one_event.eml') as f: self.mails.append(message_from_file(f)) mock_get_config = mock.patch('ivs_alarm.processors.get_config') self.mock_get_config = mock_get_config.start() self.addCleanup(mock_get_config.stop) def tearDown(self): pass def test_normal(self): # 準備 self.mock_get_config.return_value = { "ignore":{ "1": ["dummy pattern", "event to ignore"], "2": ["dummy pattern"], } } # テスト new_mails = ivs_alarm.processors.ignore_mail(self.mails) # 結果確認 self.assertEqual(len(new_mails), 1) self.assertEqual(new_mails[0]['To'], 'to@example.com') self.assertEqual(new_mails[0]['Cc'], 'cc@example.com') self.assertIn('event1', new_mails[0].get_payload())

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269ebb29c548ddd7ff4be73d713877d5e65189e4

2,140

py

Python

Python/String Validators.py

csendranshi/Hackerrank-Codes

cebb70ba3895f7f9e5a9aabcfe05d34bd9f11995

[ "MIT" ]

70

2020-10-04T09:23:15.000Z

2022-02-01T09:44:39.000Z

Python/String Validators.py

csendranshi/Hackerrank-Codes

cebb70ba3895f7f9e5a9aabcfe05d34bd9f11995

[ "MIT" ]

148

2020-06-05T15:32:12.000Z

2020-11-01T08:29:01.000Z

Python/String Validators.py

csendranshi/Hackerrank-Codes

cebb70ba3895f7f9e5a9aabcfe05d34bd9f11995

[ "MIT" ]

298

2020-10-04T04:27:01.000Z

2022-03-07T04:02:59.000Z

''' Python has built-in string validation methods for basic data. It can check if a string is composed of alphabetical characters, alphanumeric characters, digits, etc. str.isalnum() This method checks if all the characters of a string are alphanumeric (a-z, A-Z and 0-9). >>> print 'ab123'.isalnum() True >>> print 'ab123#'.isalnum() False str.isalpha() This method checks if all the characters of a string are alphabetical (a-z and A-Z). >>> print 'abcD'.isalpha() True >>> print 'abcd1'.isalpha() False str.isdigit() This method checks if all the characters of a string are digits (0-9). >>> print '1234'.isdigit() True >>> print '123edsd'.isdigit() False str.islower() This method checks if all the characters of a string are lowercase characters (a-z). >>> print 'abcd123#'.islower() True >>> print 'Abcd123#'.islower() False str.isupper() This method checks if all the characters of a string are uppercase characters (A-Z). >>> print 'ABCD123#'.isupper() True >>> print 'Abcd123#'.isupper() False Task You are given a string . Your task is to find out if the string contains: alphanumeric characters, alphabetical characters, digits, lowercase and uppercase characters. Input Format A single line containing a string . Constraints Output Format In the first line, print True if has any alphanumeric characters. Otherwise, print False. In the second line, print True if has any alphabetical characters. Otherwise, print False. In the third line, print True if has any digits. Otherwise, print False. In the fourth line, print True if has any lowercase characters. Otherwise, print False. In the fifth line, print True if has any uppercase characters. Otherwise, print False. Sample Input qA2 Sample Output True True True True True ''' if __name__ == '__main__': s = input() v=False for n in s: if n.isalnum(): v=True print(v) v=False for n in s: if n.isalpha(): v=True print(v) v=False for n in s: if n.isdigit(): v=True print(v) v=False for n in s: if n.islower(): v=True print(v) v=False for n in s: if n.isupper(): v=True print(v)

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null

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null

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26a01fa7b3e3ac897e15f472ab7f576d2d260c0b

4,568

py

Python

Famcy/_CONSOLE_FOLDER_/_management/checkin/page.py

nexuni/Famcy

80f8f18fe1614ab3c203ca3466b9506b494470bf

[ "Apache-2.0" ]

null

Famcy/_CONSOLE_FOLDER_/_management/checkin/page.py

nexuni/Famcy

80f8f18fe1614ab3c203ca3466b9506b494470bf

[ "Apache-2.0" ]

12

2022-02-05T04:56:44.000Z

2022-03-30T09:59:26.000Z

Famcy/_CONSOLE_FOLDER_/_management/checkin/page.py

nexuni/Famcy

80f8f18fe1614ab3c203ca3466b9506b494470bf

[ "Apache-2.0" ]

null

""" This is the page definition file for Famcy. There are two variables very important, which defines the page content: PAGE_HEADER and PAGE_CONTENT. PAGE_HEADER: * title: a list of titles of the sections on the page. It is usually put at the top of the section as a header. * size: a list. defines section size. Options include half_inner_section and inner_section -> half means share two sections on one page * type: list of fblock type of the sections on the page. This should match the defined fblock name. PAGE_CONTENT: * a list of dictionary that defines the fblock sections on the page. example: PAGE_HEADER = { "title": ["Nexuni 員工後台"], "size": ["inner_section"], "type": ["display"] } PAGE_CONTENT = [ { "values": [{ "type": "displayParagraph", "title": "", "content": ''' **Nexuni 会社ウェブサイトの案内** 1. 希望能讓來到Nexuni的新朋友都能夠快速地學習並瞭解我們工作時會使用到的軟體、程式語言、工具等等。 2. 作為能力考核的依據 3. 整合所有公司內部的管理工具，如發票上傳、PO申請、報帳工具、打卡記錄等快速入門: * 點擊總覽 -> 訓練網介紹（可以看到本網頁的所有的內容簡介 * 點擊相關訓練內容 -> 開始練習 * 點擊總覽 -> 學習進度裡面的進度報告（可以看到練習的成果）（網頁內容的版權皆為Nexuni Co. 擁有） ''', },{ "type": "displayTag", "title": "測試不知道這是用來幹嘛的Layout", "content": "到底Display Tag有什麼不一樣？", }, { "type": "displayImage", "title": "下面這個解析度也太糟糕了吧", "img_name": "test.jpg", # This is gathered from static folder or _images_ user folder }] } ] """ # import Famcy # PAGE_HEADER = { # "title": ["Nexuni 圓餅圖", "Nexuni 圓餅圖"], # "size": ["inner_section", "inner_section"], # "type": ["table", ["display", "input_form"]] # } # table_content = Famcy.table_block.generate_template_content() # display_light_block = Famcy.display.generate_values_content("displayLight") # list_form_content1 = Famcy.input_form.generate_values_content("inputList") # list_form_content1.update({ # "value": ["1", "2", "3"] # }) # list_form_content2 = Famcy.input_form.generate_values_content("inputList") # list_form_content2.update({ # "value": ["5", "6", "7"] # }) # input_form_content = Famcy.input_form.generate_template_content([list_form_content1, list_form_content2]) # input_form_content.update({ # "main_button_name": ["送出"], # btn name in same section must not be same # "action_after_post": "save", # (clean / save) # }) # PAGE_CONTENT = [table_content, [Famcy.display.generate_template_content([display_light_block]), input_form_content]] # def after_submit(submission_list, **configs): # submission_dict_handler = Famcy.SijaxSubmit(PAGE_CONTENT_OBJECT[0].context["submit_type"]) # table_content.update({ # "data": [ # { # "col_title1": "row_content11", # "col_title2": "row_content12", # "col_title3": "row_content13" # }, # { # "col_title1": "row_content21", # "col_title2": "row_content22", # "col_title3": "row_content23" # }, # { # "col_title1": "row_content31", # "col_title2": "row_content32", # "col_title3": "row_content33" # }, # { # "col_title1": "row_content11", # "col_title2": "row_content12", # "col_title3": "row_content13" # }, # { # "col_title1": "row_content21", # "col_title2": "row_content22", # "col_title3": "row_content23" # }, # { # "col_title1": "row_content31", # "col_title2": "row_content32", # "col_title3": "row_content33" # } # ] # }) # PAGE_CONTENT_OBJECT[0].update_page_context(table_content) # content = submission_dict_handler.generate_block_html(PAGE_CONTENT_OBJECT[0]) # return submission_dict_handler.return_submit_info(msg=content, script="console.log('succeed')") # def after_submit_2(submission_list, **configs): # submission_dict_handler = Famcy.SijaxSubmit(PAGE_CONTENT_OBJECT[1][1].context["submit_type"]) # if submission_list[0][0] == "1": # display_light_block.update({ # "status": {"red": "", "yellow": "bulb_yellow", "green": ""}, # }) # elif submission_list[0][0] == "2": # display_light_block.update({ # "status": {"red": "", "yellow": "", "green": "bulb_green"}, # }) # elif submission_list[0][0] == "3": # display_light_block.update({ # "status": {"red": "bulb_red", "yellow": "", "green": ""}, # }) # PAGE_CONTENT_OBJECT[1][0].update_page_context({ # "values": [display_light_block] # }) # content = submission_dict_handler.generate_block_html(PAGE_CONTENT_OBJECT[1]) # return submission_dict_handler.return_submit_info(msg=content, script="console.log('succeed')") # PAGE_CONTENT_OBJECT = Famcy.generate_content_obj(PAGE_HEADER, PAGE_CONTENT, [after_submit, [None, after_submit_2]])

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null

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26a1805f6171f340ebb1904577e36eca6fc7ec26

471

py

Python

print.py

mncoppola/Linux-Kernel-CTF

a6422693779359fd360c413d9cc7f8dcaa89439c

[ "MIT" ]

87

2015-01-04T06:07:34.000Z

2021-10-03T16:25:27.000Z

print.py

mncoppola/Linux-Kernel-CTF

a6422693779359fd360c413d9cc7f8dcaa89439c

[ "MIT" ]

null

print.py

mncoppola/Linux-Kernel-CTF

a6422693779359fd360c413d9cc7f8dcaa89439c

[ "MIT" ]

11

2015-02-10T15:51:16.000Z

2021-01-02T10:52:29.000Z

import json DROPLETS_FILE = "droplets.json" def get_droplets(): with open(DROPLETS_FILE, "r") as f: data = f.read() if not data: return [] else: return json.loads(data) def main(): for droplet in get_droplets(): print droplet["name"] print droplet["ip_address"] print "%s:%s" % (droplet["username"], droplet["password"]) print print if __name__ == "__main__": main()

20.478261

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471

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null

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null

0

1

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0

2

26ab6830f4c3db3cd6646a5161b2b068fe910195

12,626

py

Python

terrascript/alicloud/r.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

null

terrascript/alicloud/r.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

null

terrascript/alicloud/r.py

GarnerCorp/python-terrascript

ec6c2d9114dcd3cb955dd46069f8ba487e320a8c

[ "BSD-2-Clause" ]

1

2018-11-15T16:23:05.000Z

from terrascript import _resource class alicloud_instance(_resource): pass instance = alicloud_instance class alicloud_ram_role_attachment(_resource): pass ram_role_attachment = alicloud_ram_role_attachment class alicloud_disk(_resource): pass disk = alicloud_disk class alicloud_disk_attachment(_resource): pass disk_attachment = alicloud_disk_attachment class alicloud_network_interface(_resource): pass network_interface = alicloud_network_interface class alicloud_network_interface_attachment(_resource): pass network_interface_attachment = alicloud_network_interface_attachment class alicloud_snapshot(_resource): pass snapshot = alicloud_snapshot class alicloud_snapshot_policy(_resource): pass snapshot_policy = alicloud_snapshot_policy class alicloud_launch_template(_resource): pass launch_template = alicloud_launch_template class alicloud_security_group(_resource): pass security_group = alicloud_security_group class alicloud_security_group_rule(_resource): pass security_group_rule = alicloud_security_group_rule class alicloud_db_database(_resource): pass db_database = alicloud_db_database class alicloud_db_account(_resource): pass db_account = alicloud_db_account class alicloud_db_account_privilege(_resource): pass db_account_privilege = alicloud_db_account_privilege class alicloud_db_backup_policy(_resource): pass db_backup_policy = alicloud_db_backup_policy class alicloud_db_connection(_resource): pass db_connection = alicloud_db_connection class alicloud_db_read_write_splitting_connection(_resource): pass db_read_write_splitting_connection = alicloud_db_read_write_splitting_connection class alicloud_db_instance(_resource): pass db_instance = alicloud_db_instance class alicloud_mongodb_instance(_resource): pass mongodb_instance = alicloud_mongodb_instance class alicloud_mongodb_sharding_instance(_resource): pass mongodb_sharding_instance = alicloud_mongodb_sharding_instance class alicloud_db_readonly_instance(_resource): pass db_readonly_instance = alicloud_db_readonly_instance class alicloud_ess_scaling_group(_resource): pass ess_scaling_group = alicloud_ess_scaling_group class alicloud_ess_scaling_configuration(_resource): pass ess_scaling_configuration = alicloud_ess_scaling_configuration class alicloud_ess_scaling_rule(_resource): pass ess_scaling_rule = alicloud_ess_scaling_rule class alicloud_ess_schedule(_resource): pass ess_schedule = alicloud_ess_schedule class alicloud_ess_scheduled_task(_resource): pass ess_scheduled_task = alicloud_ess_scheduled_task class alicloud_ess_attachment(_resource): pass ess_attachment = alicloud_ess_attachment class alicloud_ess_lifecycle_hook(_resource): pass ess_lifecycle_hook = alicloud_ess_lifecycle_hook class alicloud_ess_alarm(_resource): pass ess_alarm = alicloud_ess_alarm class alicloud_vpc(_resource): pass vpc = alicloud_vpc class alicloud_nat_gateway(_resource): pass nat_gateway = alicloud_nat_gateway class alicloud_nas_file_system(_resource): pass nas_file_system = alicloud_nas_file_system class alicloud_nas_mount_target(_resource): pass nas_mount_target = alicloud_nas_mount_target class alicloud_nas_access_group(_resource): pass nas_access_group = alicloud_nas_access_group class alicloud_nas_access_rule(_resource): pass nas_access_rule = alicloud_nas_access_rule class alicloud_subnet(_resource): pass subnet = alicloud_subnet class alicloud_vswitch(_resource): pass vswitch = alicloud_vswitch class alicloud_route_entry(_resource): pass route_entry = alicloud_route_entry class alicloud_route_table(_resource): pass route_table = alicloud_route_table class alicloud_route_table_attachment(_resource): pass route_table_attachment = alicloud_route_table_attachment class alicloud_snat_entry(_resource): pass snat_entry = alicloud_snat_entry class alicloud_forward_entry(_resource): pass forward_entry = alicloud_forward_entry class alicloud_eip(_resource): pass eip = alicloud_eip class alicloud_eip_association(_resource): pass eip_association = alicloud_eip_association class alicloud_slb(_resource): pass slb = alicloud_slb class alicloud_slb_listener(_resource): pass slb_listener = alicloud_slb_listener class alicloud_slb_attachment(_resource): pass slb_attachment = alicloud_slb_attachment class alicloud_slb_server_group(_resource): pass slb_server_group = alicloud_slb_server_group class alicloud_slb_rule(_resource): pass slb_rule = alicloud_slb_rule class alicloud_slb_acl(_resource): pass slb_acl = alicloud_slb_acl class alicloud_slb_ca_certificate(_resource): pass slb_ca_certificate = alicloud_slb_ca_certificate class alicloud_slb_server_certificate(_resource): pass slb_server_certificate = alicloud_slb_server_certificate class alicloud_oss_bucket(_resource): pass oss_bucket = alicloud_oss_bucket class alicloud_oss_bucket_object(_resource): pass oss_bucket_object = alicloud_oss_bucket_object class alicloud_dns_record(_resource): pass dns_record = alicloud_dns_record class alicloud_dns(_resource): pass dns = alicloud_dns class alicloud_dns_group(_resource): pass dns_group = alicloud_dns_group class alicloud_key_pair(_resource): pass key_pair = alicloud_key_pair class alicloud_key_pair_attachment(_resource): pass key_pair_attachment = alicloud_key_pair_attachment class alicloud_kms_key(_resource): pass kms_key = alicloud_kms_key class alicloud_ram_user(_resource): pass ram_user = alicloud_ram_user class alicloud_ram_access_key(_resource): pass ram_access_key = alicloud_ram_access_key class alicloud_ram_login_profile(_resource): pass ram_login_profile = alicloud_ram_login_profile class alicloud_ram_group(_resource): pass ram_group = alicloud_ram_group class alicloud_ram_role(_resource): pass ram_role = alicloud_ram_role class alicloud_ram_policy(_resource): pass ram_policy = alicloud_ram_policy class alicloud_ram_alias(_resource): pass ram_alias = alicloud_ram_alias class alicloud_ram_account_alias(_resource): pass ram_account_alias = alicloud_ram_account_alias class alicloud_ram_group_membership(_resource): pass ram_group_membership = alicloud_ram_group_membership class alicloud_ram_user_policy_attachment(_resource): pass ram_user_policy_attachment = alicloud_ram_user_policy_attachment class alicloud_ram_role_policy_attachment(_resource): pass ram_role_policy_attachment = alicloud_ram_role_policy_attachment class alicloud_ram_group_policy_attachment(_resource): pass ram_group_policy_attachment = alicloud_ram_group_policy_attachment class alicloud_container_cluster(_resource): pass container_cluster = alicloud_container_cluster class alicloud_cs_application(_resource): pass cs_application = alicloud_cs_application class alicloud_cs_swarm(_resource): pass cs_swarm = alicloud_cs_swarm class alicloud_cs_kubernetes(_resource): pass cs_kubernetes = alicloud_cs_kubernetes class alicloud_cs_managed_kubernetes(_resource): pass cs_managed_kubernetes = alicloud_cs_managed_kubernetes class alicloud_cr_namespace(_resource): pass cr_namespace = alicloud_cr_namespace class alicloud_cr_repo(_resource): pass cr_repo = alicloud_cr_repo class alicloud_cdn_domain(_resource): pass cdn_domain = alicloud_cdn_domain class alicloud_cdn_domain_new(_resource): pass cdn_domain_new = alicloud_cdn_domain_new class alicloud_cdn_domain_config(_resource): pass cdn_domain_config = alicloud_cdn_domain_config class alicloud_router_interface(_resource): pass router_interface = alicloud_router_interface class alicloud_router_interface_connection(_resource): pass router_interface_connection = alicloud_router_interface_connection class alicloud_ots_table(_resource): pass ots_table = alicloud_ots_table class alicloud_ots_instance(_resource): pass ots_instance = alicloud_ots_instance class alicloud_ots_instance_attachment(_resource): pass ots_instance_attachment = alicloud_ots_instance_attachment class alicloud_cms_alarm(_resource): pass cms_alarm = alicloud_cms_alarm class alicloud_pvtz_zone(_resource): pass pvtz_zone = alicloud_pvtz_zone class alicloud_pvtz_zone_attachment(_resource): pass pvtz_zone_attachment = alicloud_pvtz_zone_attachment class alicloud_pvtz_zone_record(_resource): pass pvtz_zone_record = alicloud_pvtz_zone_record class alicloud_log_project(_resource): pass log_project = alicloud_log_project class alicloud_log_store(_resource): pass log_store = alicloud_log_store class alicloud_log_store_index(_resource): pass log_store_index = alicloud_log_store_index class alicloud_log_machine_group(_resource): pass log_machine_group = alicloud_log_machine_group class alicloud_logtail_config(_resource): pass logtail_config = alicloud_logtail_config class alicloud_logtail_attachment(_resource): pass logtail_attachment = alicloud_logtail_attachment class alicloud_fc_service(_resource): pass fc_service = alicloud_fc_service class alicloud_fc_function(_resource): pass fc_function = alicloud_fc_function class alicloud_fc_trigger(_resource): pass fc_trigger = alicloud_fc_trigger class alicloud_vpn_gateway(_resource): pass vpn_gateway = alicloud_vpn_gateway class alicloud_vpn_customer_gateway(_resource): pass vpn_customer_gateway = alicloud_vpn_customer_gateway class alicloud_vpn_connection(_resource): pass vpn_connection = alicloud_vpn_connection class alicloud_ssl_vpn_server(_resource): pass ssl_vpn_server = alicloud_ssl_vpn_server class alicloud_ssl_vpn_client_cert(_resource): pass ssl_vpn_client_cert = alicloud_ssl_vpn_client_cert class alicloud_cen_instance(_resource): pass cen_instance = alicloud_cen_instance class alicloud_cen_instance_attachment(_resource): pass cen_instance_attachment = alicloud_cen_instance_attachment class alicloud_cen_bandwidth_package(_resource): pass cen_bandwidth_package = alicloud_cen_bandwidth_package class alicloud_cen_bandwidth_package_attachment(_resource): pass cen_bandwidth_package_attachment = alicloud_cen_bandwidth_package_attachment class alicloud_cen_bandwidth_limit(_resource): pass cen_bandwidth_limit = alicloud_cen_bandwidth_limit class alicloud_cen_route_entry(_resource): pass cen_route_entry = alicloud_cen_route_entry class alicloud_cen_instance_grant(_resource): pass cen_instance_grant = alicloud_cen_instance_grant class alicloud_kvstore_instance(_resource): pass kvstore_instance = alicloud_kvstore_instance class alicloud_kvstore_backup_policy(_resource): pass kvstore_backup_policy = alicloud_kvstore_backup_policy class alicloud_datahub_project(_resource): pass datahub_project = alicloud_datahub_project class alicloud_datahub_subscription(_resource): pass datahub_subscription = alicloud_datahub_subscription class alicloud_datahub_topic(_resource): pass datahub_topic = alicloud_datahub_topic class alicloud_mns_queue(_resource): pass mns_queue = alicloud_mns_queue class alicloud_mns_topic(_resource): pass mns_topic = alicloud_mns_topic class alicloud_havip(_resource): pass havip = alicloud_havip class alicloud_mns_topic_subscription(_resource): pass mns_topic_subscription = alicloud_mns_topic_subscription class alicloud_havip_attachment(_resource): pass havip_attachment = alicloud_havip_attachment class alicloud_api_gateway_api(_resource): pass api_gateway_api = alicloud_api_gateway_api class alicloud_api_gateway_group(_resource): pass api_gateway_group = alicloud_api_gateway_group class alicloud_api_gateway_app(_resource): pass api_gateway_app = alicloud_api_gateway_app class alicloud_api_gateway_app_attachment(_resource): pass api_gateway_app_attachment = alicloud_api_gateway_app_attachment class alicloud_api_gateway_vpc_access(_resource): pass api_gateway_vpc_access = alicloud_api_gateway_vpc_access class alicloud_common_bandwidth_package(_resource): pass common_bandwidth_package = alicloud_common_bandwidth_package class alicloud_common_bandwidth_package_attachment(_resource): pass common_bandwidth_package_attachment = alicloud_common_bandwidth_package_attachment class alicloud_drds_instance(_resource): pass drds_instance = alicloud_drds_instance class alicloud_elasticsearch_instance(_resource): pass elasticsearch_instance = alicloud_elasticsearch_instance class alicloud_actiontrail(_resource): pass actiontrail = alicloud_actiontrail class alicloud_cas_certificate(_resource): pass cas_certificate = alicloud_cas_certificate class alicloud_ddoscoo_instance(_resource): pass ddoscoo_instance = alicloud_ddoscoo_instance class alicloud_network_acl(_resource): pass network_acl = alicloud_network_acl class alicloud_network_acl_attachment(_resource): pass network_acl_attachment = alicloud_network_acl_attachment class alicloud_network_acl_entries(_resource): pass network_acl_entries = alicloud_network_acl_entries

30.571429

82

0.880326

1,685

12,626

6.004748

0.079525

0.176023

0.041313

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0.106147

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0

null

0

null

0

1

0

1

0

2

26b3a577e167eff33103b0774a6e27f10d2aee07

305

py

Python

FreeOnEpicBot/sample_config.py

ariel8462/FreeOnEpicBot

e6fc9d53b33f9d7993e495229e719fb2ae1e6516

[ "MIT" ]

8

2021-02-07T07:45:29.000Z

2022-01-14T04:14:16.000Z

FreeOnEpicBot/sample_config.py

ariel8462/FreeOnEpicBot

e6fc9d53b33f9d7993e495229e719fb2ae1e6516

[ "MIT" ]

null

FreeOnEpicBot/sample_config.py

ariel8462/FreeOnEpicBot

e6fc9d53b33f9d7993e495229e719fb2ae1e6516

[ "MIT" ]

1

2022-03-29T12:07:55.000Z

HELP_MESSAGE = """Hi there, I am a bot that shows the current free games on all the major game platforms out there. You will get automatically notified when new games become free to collect. If you would like to see the current free game please use the following command: /freegame """ BOT_TOKEN = '123'

50.833333

115

0.770492

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305

4.396226

0.773585

0.085837

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0

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0.180328

305

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false

0

null

0

1

0

1

0

null

0

2

26b3a9792e103b91c59af1773d9fe50dd044000a

2,398

py

Python

api/api.py

NikLeberg/remote

ff14a76a9950583940771173baa161748c095ae5

[ "MIT" ]

null

api/api.py

NikLeberg/remote

ff14a76a9950583940771173baa161748c095ae5

[ "MIT" ]

null

api/api.py

NikLeberg/remote

ff14a76a9950583940771173baa161748c095ae5

[ "MIT" ]

null

# rest-api mittels Flask # Verwaltung von docker images # ToDo: # [/] Auflistung verfügbarer apps/images # [ ] Konfigurieren / erstellen / Dockerfile # [ ] Einschalten # [ ] Pausieren / commiten / weiterfahren # [ ] Killen # [ ] Connect # [ ] Disconnect # get - holen # post - erstellen # put - aktualisieren # delete - löschen from flask import Flask from flask_restful import Resource, Api, reqparse import werkzeug import docker import base64 import os # Globals app = Flask(__name__) api = Api(app) docker = docker.from_env() class util(): def getImage(image): return { "name" : image.tags[0].split(":")[0], "id" : image.short_id, "comment" : image.attrs["Comment"], "created" : image.attrs["Created"], "parent" : image.attrs["Parent"], "labels" : image.labels } class appList(Resource): def get(self): response = [] for image in docker.images.list(): response.append(util.getImage(image)) return response def post(self): response = [] parser = reqparse.RequestParser() parser.add_argument("name", type=str, required=True, help="gebe den Name der App an") parser.add_argument("dockerfile", type=str, required=True, help="es fehlt das Dockerfile enkodiert in Base64") parser.add_argument("installfile", type=werkzeug.datastructures.FileStorage, location="files") args = parser.parse_args() # App-Pfad erstellen path = f"/home/remote/remote/{args["name"]}" os.makedirs(path, exist_ok=True) # Dockerfile aus Base64 dekodieren und in Datei schreiben dockerfile = open(f"{path}/Dockerfile", "w+") dockerfile.write(base64.decodestring(args["dockerfile"])) dockerfile.close() # Optionale Installationsdateien abspeichern if "installfile" in args: installfile = args["installfile"] installfile.save(f"{path}/installfile.zip") return args class appEntity(Resource): def get(self, name): try: image = docker.images.get(name) return util.getImage(image) except: return f"App '{name}' nicht gefunden.", 404 api.add_resource(appList, "/apps") api.add_resource(appEntity, "/apps/<string:name>") if __name__ == "__main__": app.run(debug=True)

26.94382

118

0.626355

264

2,398

5.606061

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0.024324

0.034459

0.024324

0.031081

0

0.00721

0.248123

2,398

88

119

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0.813644

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0

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0

0.159161

0.024565

0

0.011364

0

null

0

0.115385

null

0

null

0

null

0

1

0

1

0

2

26c2d943569b3d9a4ddf5dcc28a0a68f6f92f7ce

511

py

Python

timeseries_toolkit/transformations.py

alejio/timeseries_toolkit

030ac84fcb96ec5bdc480a6b74075a737c30955a

[ "MIT" ]

null

timeseries_toolkit/transformations.py

alejio/timeseries_toolkit

030ac84fcb96ec5bdc480a6b74075a737c30955a

[ "MIT" ]

null

timeseries_toolkit/transformations.py

alejio/timeseries_toolkit

030ac84fcb96ec5bdc480a6b74075a737c30955a

[ "MIT" ]

null

import numpy as np def target_transform(y: np.array, increment: float=0.01) -> np.array: """ Transform non-negative array to R using np.log :param y: np.array :param increment: float :return: """ return np.log(y + increment) def target_inverse_transform(y_trn: np.array, increment: float=0.01) -> np.array: """ Inverse transform of array in R to non-negative :param y_trn: np.array :param increment: float :return: """ return np.exp(y_trn) - increment

24.333333

81

0.649706

76

511

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0.342105

0.128834

0.04908

0.128834

0.435583

0

0.015267

0.23092

511

21

82

24.333333

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0.395303

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false

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0.2

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1

0

null

0

null

0

1

0

1

0

2

26c75b195bb079d3cdd49a7118228a060d5c09a9

716

py

Python

python/mesh/generic/customExceptions.py

sqf-ice/meshNetwork

3214f3e0fabe70e3e0e0d82926e0510a392a3352

[ "NASA-1.3" ]

null

python/mesh/generic/customExceptions.py

sqf-ice/meshNetwork

3214f3e0fabe70e3e0e0d82926e0510a392a3352

[ "NASA-1.3" ]

null

python/mesh/generic/customExceptions.py

sqf-ice/meshNetwork

3214f3e0fabe70e3e0e0d82926e0510a392a3352

[ "NASA-1.3" ]

1

2021-06-26T06:40:19.000Z

import serial class NoSerialConnection(serial.SerialException): """Exception to raise if trying to read/write to invalid serial connection.""" class NoSocket(serial.SerialException): """Exception to raise if trying to read/write to invalid socket connection.""" class NoCommandHeader(Exception): """Exception to raise if required commmand header missing.""" class InvalidCmdCounter(Exception): """Exception to raise if attempt made to set command counter outside of allowable range.""" class NoCommandHeaderDefined(Exception): """Exception to raise if command does not define a header.""" class InvalidTDMASlotNumber(Exception): """Exception to raise if TDMA slot number is invalid."""

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1

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null

0

1

0

null

0

1

0

2

26ce089ff56787d4eeeec811399f240b2f601b86

525

py

Python

api/todolist.py

groupwildman/todolist

7ce990b91e208fdb5ca757e3508a2f0764c16798

[ "Apache-2.0" ]

null

api/todolist.py

groupwildman/todolist

7ce990b91e208fdb5ca757e3508a2f0764c16798

[ "Apache-2.0" ]

null

api/todolist.py

groupwildman/todolist

7ce990b91e208fdb5ca757e3508a2f0764c16798

[ "Apache-2.0" ]

null

from app import app from views import * app.add_url_rule("/signup", view_func=signup, methods=["POST", "GET"]) app.add_url_rule("/login", view_func=login, methods=["POST", "GET", "OPTIONS"]) app.add_url_rule("/dashboard/create-list", view_func=dashboard_addList, methods=["POST", "GET"]) app.add_url_rule("/dashboard/api/load-list", view_func=dashboard_fetchlist, methods=["POST"]) app.add_url_rule("/dashboard/api/create-list", view_func=dashboard_addList, methods=["POST"]) if __name__ == "__main__": app.run(debug=True)

47.727273

96

0.744762

79

525

4.620253

0.35443

0.082192

0.123288

0.178082

0.526027

0.465753

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0.246575

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0.064762

525

11

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0.245247

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true

0

0.222222

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0.222222

0

null

0

1

0

null

0

1

0

2

26dc3f711be7fb7e28c37baf8ab83d8833744674

399

py

Python

icekit/plugins/slideshow/content_plugins.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

52

2016-09-13T03:50:58.000Z

2022-02-23T16:25:08.000Z

icekit/plugins/slideshow/content_plugins.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

304

2016-08-11T14:17:30.000Z

2020-07-22T13:35:18.000Z

icekit/plugins/slideshow/content_plugins.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

12

2016-09-21T18:46:35.000Z

2021-02-15T19:37:50.000Z

""" Definition of the plugin. """ from django.utils.translation import ugettext_lazy as _ from fluent_contents.extensions import ContentPlugin, plugin_pool from . import models @plugin_pool.register class SlideShowPlugin(ContentPlugin): model = models.SlideShowItem category = _('Assets') render_template = 'icekit/plugins/slideshow/default.html' raw_id_fields = ['slide_show', ]

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0

null

0

null

0

1

0

1

0

2

26faf6a82020be218b501960f0be01e61146519d

1,287

py

Python

examples/test_service_client.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

76

2016-01-27T21:16:53.000Z

2021-09-23T02:23:49.000Z

examples/test_service_client.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

2

2016-02-26T02:37:46.000Z

2018-02-23T09:03:41.000Z

examples/test_service_client.py

fakeNetflix/pinterest-repo-kingpin

baea08ae941a4e57edb9129658fe3e7d40e4d0c3

[ "Apache-2.0" ]

22

2016-01-27T21:16:58.000Z

2020-12-24T11:26:01.000Z

#!/usr/bin/python # # Copyright 2016 Pinterest, Inc # # 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 kingpin.thrift_utils.thrift_client_mixin import PooledThriftClientMixin from kingpin.thrift_utils.base_thrift_exceptions import ThriftConnectionError from kingpin.kazoo_utils.hosts import HostsProvider import TestService class TestServiceConnectionException(ThriftConnectionError): pass class TestServiceClient(TestService.Client, PooledThriftClientMixin): def get_connection_exception_class(self): return TestServiceConnectionException testservice_client = TestServiceClient( HostsProvider([], file_path="/var/serverset/discovery.test_service.prod"), timeout=3000, pool_size=10, always_retry_on_new_host=True) print testservice_client.ping()

32.175

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1,287

6.134146

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0.059642

0.025845

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1,287

39

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null

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null

0

null

0

1

0

1

0

2

f8056d3de3457f7f8ed656ba38fed65f7e77c996

420

py

Python

dapricot/blog/tokens.py

softapr/django_apricot

911b6627a5ffaf3f7b13a099ca129f3a2ffda558

[ "BSD-3-Clause" ]

null

dapricot/blog/tokens.py

softapr/django_apricot

911b6627a5ffaf3f7b13a099ca129f3a2ffda558

[ "BSD-3-Clause" ]

null

dapricot/blog/tokens.py

softapr/django_apricot

911b6627a5ffaf3f7b13a099ca129f3a2ffda558

[ "BSD-3-Clause" ]

null

from django.contrib.auth.tokens import PasswordResetTokenGenerator from django.utils import six class AccountActivationTokenGenerator(PasswordResetTokenGenerator): def _make_hash_value(self, commenter, timestamp): return ( six.text_type(commenter.pk) + six.text_type(timestamp) + six.text_type(commenter.status) ) account_activation_token = AccountActivationTokenGenerator()

38.181818

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38.181818

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0.222222

0.111111

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0

null

0

1

0

1

0

2

f80efd27f0e3589d4c5d1bef94d4a9e2c4a19723

13,014

py

Python

test/test_constraints.py

ELIFE-ASU/randomneet

5efbcd55ab838b53b287b49d13e14b0d42486a7d

[ "MIT" ]

null

test/test_constraints.py

ELIFE-ASU/randomneet

5efbcd55ab838b53b287b49d13e14b0d42486a7d

[ "MIT" ]

null

test/test_constraints.py

ELIFE-ASU/randomneet

5efbcd55ab838b53b287b49d13e14b0d42486a7d

[ "MIT" ]

null

import networkx as nx import randomneet import unittest from neet.boolean import LogicNetwork from neet.boolean.examples import s_pombe, myeloid from randomneet.constraints import AbstractConstraint, TopologicalConstraint, DynamicalConstraint, \ HasExternalNodes, IsConnected, IsIrreducible, \ HasCanalizingNodes, GenericTopological, GenericDynamical, \ ConstraintError class TestConstraints(unittest.TestCase): """ Unit tests for the various network constraints. """ def empty_graph(self, n=0): """ Create a directed graph with no edges and ``n`` nodes. """ g = nx.DiGraph() g.add_nodes_from(range(n)) return g def test_constraints_module(self): """ Ensure that constraints is exported from randomneet """ self.assertTrue('constraints' in dir(randomneet)) def test_abstract_constraint(self): """ The AbstractConstraint should be an abstract object """ self.assertTrue(issubclass(AbstractConstraint, object)) with self.assertRaises(TypeError): AbstractConstraint() # type: ignore def test_topological_constraint(self): """ The TopologicalConstraint should be an abstract subclass of AbstractConstraint """ self.assertTrue(issubclass(TopologicalConstraint, AbstractConstraint)) with self.assertRaises(TypeError): TopologicalConstraint() # type: ignore def test_dynamical_constraint(self): """ The DynamicalConstraint should be an abstract subclass of AbstractConstraint """ self.assertTrue(issubclass(DynamicalConstraint, AbstractConstraint)) with self.assertRaises(TypeError): DynamicalConstraint() # type: ignore def test_has_external_nodes_is_topological(self): """ The HasExternalNodes constraint is a TopologicalConstraint """ self.assertTrue(issubclass(HasExternalNodes, TopologicalConstraint)) def test_has_external_nodes_invalid_init(self): """ HasExternalNodes should raise a Value or TypeError for invalid initialization parameters. """ with self.assertRaises(ValueError): HasExternalNodes(-1) with self.assertRaises(TypeError): HasExternalNodes(nx.Graph()) def test_has_external_nodes_counts(self): """ HasExternalNodes properly counts the number of external nodes in a directed graph. """ g = nx.DiGraph([(0, 1), (1, 2), (2, 1), (3, 1), (4, 5), (6, 6)]) constraint = HasExternalNodes(g) self.assertEqual(constraint.num_external, 3) def test_has_external_nodes_saves_target(self): """ HasExternalNodes properly stores the desired number of external edges. """ self.assertEqual(HasExternalNodes(7).num_external, 7) def test_has_external_nodes_raises(self): """ HasExternalNodes.satisfies raises an error if the provided argument is not a directed graph. """ constraint = HasExternalNodes(3) with self.assertRaises(TypeError): constraint.satisfies(3) with self.assertRaises(TypeError): constraint.satisfies(nx.Graph()) def test_has_external_nodes_satisfies(self): """ HasExternalNodes.satsifies correctly identifies directed graphs with the desired number of external nodes. """ g = nx.DiGraph([(0, 1), (1, 2), (2, 1), (3, 1), (4, 5), (6, 6)]) constraint = HasExternalNodes(3) self.assertFalse(constraint.satisfies(nx.DiGraph())) self.assertFalse(constraint.satisfies(nx.DiGraph([(0, 1), (1, 2), (2, 1), (3, 2)]))) self.assertTrue(constraint.satisfies(g)) constraint = HasExternalNodes(g) self.assertFalse(constraint.satisfies(nx.DiGraph())) self.assertFalse(constraint.satisfies(nx.DiGraph([(0, 1), (1, 2), (2, 1), (3, 2)]))) self.assertTrue(constraint.satisfies(g)) self.assertTrue(constraint.satisfies(nx.DiGraph([(1, 2), (3, 4), (5, 6), (7, 7)]))) def test_is_connected_is_topological(self): """ The IsConnected constraint is a TopologicalConstraint """ self.assertTrue(issubclass(IsConnected, TopologicalConstraint)) def test_is_connected_raises(self): """ IsConnected.satisfies raises an error if the provided argument is not a directed graph. """ constraint = HasExternalNodes(3) with self.assertRaises(TypeError): constraint.satisfies(3) with self.assertRaises(TypeError): constraint.satisfies(nx.Graph()) def test_is_connected_null_graph(self): """ IsConnected.satisfies raises an error if the provided argument is the null graph. """ constraint = IsConnected() with self.assertRaises(ConstraintError): constraint.satisfies(nx.DiGraph()) def test_is_connected_satisfies(self): """ IsConnected.satisfies correctly identifies directed graphs that are weakly connected. """ constraint = IsConnected() self.assertTrue(constraint.satisfies(self.empty_graph(1))) self.assertTrue(constraint.satisfies(nx.DiGraph([(0, 0)]))) self.assertFalse(constraint.satisfies(self.empty_graph(2))) self.assertFalse(constraint.satisfies(nx.DiGraph([(0, 0), (1, 1)]))) self.assertTrue(constraint.satisfies(nx.DiGraph([(0, 1)]))) def test_is_irreducibile_is_dynamical(self): """ The IsIrreducible constraint is a DynamicalConstraint. """ self.assertTrue(issubclass(IsIrreducible, DynamicalConstraint)) def test_is_irreducible_raises(self): """ IsIrreducible.satisfies raises an error if the argument is not a Neet network. """ constraint = IsIrreducible() with self.assertRaises(TypeError): constraint.satisfies(nx.DiGraph()) with self.assertRaises(TypeError): constraint.satisfies(nx.Graph()) def test_is_irreducible_satisfies_non_logic(self): """ IsIrreducible.satisfies is not implemented for non-LogicNetworks """ constraint = IsIrreducible() with self.assertRaises(NotImplementedError): constraint.satisfies(s_pombe) def test_is_irreducible_satisfies(self): """ IsIrreducible.satisfies correctly identifies networks that are irreducible. """ constraint = IsIrreducible() self.assertTrue(constraint.satisfies(myeloid)) reducible = LogicNetwork([((0,), {'0', '1'})]) self.assertFalse(constraint.satisfies(reducible)) reducible = LogicNetwork([((0, 1), {'01', '11'}), ((0, 1), {'00', '01', '11'})]) self.assertFalse(constraint.satisfies(reducible)) reducible = LogicNetwork([((1,), {'0'}), ((0, 1), {'01', '11'})]) self.assertFalse(constraint.satisfies(reducible)) irreducible = LogicNetwork([((0,), {'0'})]) self.assertTrue(constraint.satisfies(irreducible)) irreducible = LogicNetwork([((0, 1), {'01'}), ((0, 1), {'00', '01', '11'})]) self.assertTrue(constraint.satisfies(irreducible)) irreducible = LogicNetwork([((1,), {'0'}), ((0, 1), {'01', '11', '10'})]) self.assertTrue(constraint.satisfies(irreducible)) def test_has_canalizing_nodes_is_dynamical(self): """ The HasCanalizingNodes constraint is a DynamicalConstraint """ self.assertTrue(issubclass(HasCanalizingNodes, DynamicalConstraint)) def test_has_canalizing_nodes_invalid_init(self): """ HasCanalizingNodes should raise a ValueError or TypeError for invalid initialization parameters. """ with self.assertRaises(ValueError): HasCanalizingNodes(-1) with self.assertRaises(TypeError): HasCanalizingNodes(nx.Graph()) def test_has_canalizing_nodes_counts(self): """ HasCanalizingNodes properly counts the number of canalizing nodes in a network. """ constraint = HasCanalizingNodes(myeloid) self.assertEqual(constraint.num_canalizing, 11) constraint = HasCanalizingNodes(s_pombe) self.assertEqual(constraint.num_canalizing, 5) def test_has_canalizing_nodes_saves_target(self): """ HasCanalizingNodes properly stores the desired number of external edges. """ self.assertEqual(HasCanalizingNodes(7).num_canalizing, 7) def test_has_canalizing_nodes_raises(self): """ HasCanalizingNodes.satisfies raises an error if the provided argument is not a neet network """ constraint = HasCanalizingNodes(3) with self.assertRaises(TypeError): constraint.satisfies(3) with self.assertRaises(TypeError): constraint.satisfies(nx.Graph()) with self.assertRaises(TypeError): constraint.satisfies(nx.DiGraph()) def test_has_canalizing_nodes_satisfies(self): """ HasCanalizingNodes.satsifies correctly identifies networks the desired number of canalizing nodes. """ constraint = HasCanalizingNodes(myeloid) self.assertTrue(constraint.satisfies(myeloid)) self.assertFalse(constraint.satisfies(s_pombe)) def test_generic_topological_is_topological(self): """ Ensure that GenericTopological is a subclass of TopologicalConstraint. """ self.assertTrue(issubclass(GenericTopological, TopologicalConstraint)) def test_generic_topological_raises(self): """ GenericTopological raises a TypeError if it's instantiated with anything that is not callable. """ with self.assertRaises(TypeError): GenericTopological(5) with self.assertRaises(TypeError): GenericTopological(IsConnected()) def test_generic_topological_satisfies_raises(self): """ GenericTopological.satisfies raises a TypeError when its argument is not a directed graph. """ allpass = GenericTopological(lambda g: True) with self.assertRaises(TypeError): allpass.satisfies(nx.Graph()) with self.assertRaises(TypeError): allpass.satisfies(s_pombe) def test_generic_topological_satisfies(self): """ GenericTopological.satisfies correctly checks graphs. """ allpass = GenericTopological(lambda g: True) self.assertTrue(allpass.satisfies(self.empty_graph())) self.assertTrue(allpass.satisfies(nx.DiGraph([(0, 1), (1, 2), (2, 0)]))) allfail = GenericTopological(lambda g: False) self.assertFalse(allfail.satisfies(self.empty_graph())) self.assertFalse(allfail.satisfies(nx.DiGraph([(0, 1), (1, 2), (2, 0)]))) twonodes = GenericTopological(lambda g: len(g) == 2) self.assertFalse(twonodes.satisfies(self.empty_graph())) self.assertTrue(twonodes.satisfies(self.empty_graph(2))) def test_generic_dynamical_is_dynamical(self): """ Ensure that GenericDynamical is a subclass of DynamicalConstraint. """ self.assertTrue(issubclass(GenericDynamical, DynamicalConstraint)) def test_generic_dynamical_raises(self): """ GenericDynamical raises a TypeError if it's instantiated with anything that is not callable. """ with self.assertRaises(TypeError): GenericDynamical(5) with self.assertRaises(TypeError): GenericDynamical(IsIrreducible()) def test_generic_dynamical_satisfies_raises(self): """ GenericDynamical.satisfies raises a TypeError when its argument is not a network. """ allpass = GenericDynamical(lambda n: True) with self.assertRaises(TypeError): allpass.satisfies(nx.Graph()) with self.assertRaises(TypeError): allpass.satisfies(nx.DiGraph()) def test_generic_dynamical_satisfies(self): """ GenericDynamical.satisfies correctly checks networks. """ allpass = GenericDynamical(lambda n: True) self.assertTrue(allpass.satisfies(myeloid)) self.assertTrue(allpass.satisfies(s_pombe)) allfail = GenericDynamical(lambda g: False) self.assertFalse(allfail.satisfies(myeloid)) self.assertFalse(allfail.satisfies(s_pombe)) ninenodes = GenericDynamical(lambda g: g.size == 9) self.assertTrue(ninenodes.satisfies(s_pombe)) self.assertFalse(ninenodes.satisfies(myeloid))

36.971591

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13,014

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null

0

null

0

1

0

1

0

2

f86269ca3900b750757ff89130ea7dc133ae3a31

312

py

Python

tools/train_test.py

stanley-king/cuda10-py3-faster-rcnn

013f99c428874bfd3ddaeed264031143d10a8123

[ "BSD-2-Clause" ]

null

tools/train_test.py

stanley-king/cuda10-py3-faster-rcnn

013f99c428874bfd3ddaeed264031143d10a8123

[ "BSD-2-Clause" ]

1

2020-12-28T03:20:43.000Z

tools/train_test.py

stanley-king/cuda10-py3-faster-rcnn

013f99c428874bfd3ddaeed264031143d10a8123

[ "BSD-2-Clause" ]

null

import unittest import _init_paths from datasets.pascal_voc import pascal_voc class MyTestCase(unittest.TestCase): def test_pascal_voc(self): d = pascal_voc('trainval', '2007') res = d.roidb from IPython import embed embed() if __name__ == '__main__': unittest.main()

19.5

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5.025641

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312

15

43

20.8

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1

0.090909

false

0

0.363636

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0.545455

0

null

0

null

0

1

0

1

0

2

f86dee4c4ea8ced242cebd65f69976a8d15696fc

1,086

py

Python

artascope/test/config/test_config.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

3

2020-09-24T16:19:28.000Z

2022-02-09T21:10:11.000Z

artascope/test/config/test_config.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

artascope/test/config/test_config.py

magus0219/icloud-photo-downloader

6334530d971cf61089d031de99a38f204c201837

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Created by magus0219[magus0219@gmail.com] on 2020/4/23 class TestConfig: def test_config_base(self): from artascope.src.config import TZ from artascope.src.config.base import TZ as TIMEZONE_BASE assert TZ == TIMEZONE_BASE def test_config_overwrite_by_file(self): import os import importlib from artascope.src.config import SECONDS_WAIT_FOR_API_LIMIT env = os.environ["ARTASCOPE_ENV"] config_module_test = importlib.import_module( "artascope.src.config.{}".format(env) ) assert SECONDS_WAIT_FOR_API_LIMIT == getattr( config_module_test, "SECONDS_WAIT_FOR_API_LIMIT" ) def test_config_overwrite_by_env(self): import os import sys import importlib os.environ["SECONDS_WAIT_FOR_API_LIMIT"] = "-1" importlib.reload(sys.modules["artascope.src.config"]) from artascope.src.config import SECONDS_WAIT_FOR_API_LIMIT assert SECONDS_WAIT_FOR_API_LIMIT == "-1"

31.028571

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0.671271

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1,086

4.87234

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0.104803

0.157205

0.148472

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0.023086

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1,086

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0.811665

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0.125

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0

null

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null

0

1

0

1

0

2

f8819229eb71f136e7e9fa27d929bad4319f8b24

666

py

Python

basic-programs/tensor_autograd.py

lcskrishna/my-pytorch-experiments

b846760bbf8dfa930fa914edcee8f1a71a43fc98

[ "MIT" ]

null

basic-programs/tensor_autograd.py

lcskrishna/my-pytorch-experiments

b846760bbf8dfa930fa914edcee8f1a71a43fc98

[ "MIT" ]

null

basic-programs/tensor_autograd.py

lcskrishna/my-pytorch-experiments

b846760bbf8dfa930fa914edcee8f1a71a43fc98

[ "MIT" ]

null

import torch x = torch.ones(2,2, requires_grad = True) print (x) y = x + 2 print (y) print (y.grad_fn) z = y * y * 3 out = z.mean() print (z) print (out) a = torch.randn(2,2) a = ((a * 3)/ (a - 1)) print (a.requires_grad) a.requires_grad_(True) print (a.requires_grad) b = (a * a).sum() print (b.grad_fn) out.backward() print (x.grad) x = torch.randn(3, requires_grad = True) y = x * 2 while y.data.norm() < 1000: y = y * 2 print (y) gradients = torch.tensor([0.1, 1.0, 0.0001], dtype=torch.float) y.backward(gradients) print (x.grad) print (x.requires_grad) print ((x ** 2).requires_grad) with torch.no_grad(): print ((x ** 2).requires_grad)

15.857143

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666

3.276423

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0.114144

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41

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0

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0.032258

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0

null

1

0

null

0

1

0

2

f88741913de7f3a1ecb15d96b90ac119bde11b01

206

py

Python

Linguagens/Python/Exercicios/cursos_em_video/aulas-01_a_21/025.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

Linguagens/Python/Exercicios/cursos_em_video/aulas-01_a_21/025.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

Linguagens/Python/Exercicios/cursos_em_video/aulas-01_a_21/025.py

rafaelvizu/Estudos

eef5e3e3706ff99959226c51b9907b6af4377bfe

[ "MIT" ]

null

print('Exercício Python #025 - Procurando uma string dentro de outra') print('By Guanabara') name = str(input('Qual é o seu nome? ')).title().strip() print('Seu nome tem Silva? {}'.format('Silva' in name))

41.2

70

0.694175

32

206

4.46875

0.8125

0.097902

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0.01676

0.131068

206

4

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51.5

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null

0

1

0

null

0

1

0

2

f888e8fb3dce5a5d84fb6da852c636bd18d117bd

1,112

py

Python

Test/LensCalibrationTest.py

thpe/voxelsdk

f308e4ce5d72e4fca88debc415d894d053193391

[ "BSD-3-Clause" ]

112

2016-01-04T09:25:56.000Z

2022-03-18T17:28:05.000Z

Test/LensCalibrationTest.py

Metrilus/voxelsdk

751641a08285c4a31e68491df8887f79e71d34d2

[ "BSD-3-Clause" ]

149

2015-10-09T08:28:07.000Z

2021-07-09T20:48:09.000Z

Test/LensCalibrationTest.py

Metrilus/voxelsdk

751641a08285c4a31e68491df8887f79e71d34d2

[ "BSD-3-Clause" ]

77

2015-10-21T22:14:59.000Z

2022-03-18T17:26:18.000Z

import argparse import sys import matplotlib.pyplot as plt import numpy as np #parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) #parser.add_argument("-f", "--file", type=str, help="Voxel file (.vxl)", required=True) #args = parser.parse_args() ## Voxel-A lens k1 = -0.1583968 k2 = 0.06113919 k3 = 0.09898978 p1 = 0.001591975 p2 = -0.0001962754 x = np.linspace(0, 0.9, 200) y = 0 r2 = x*x r4 = r2*r2 r6 = r4*r2 x1 = x*(1 + k1*r2 + k2*r4 + k3*r6) + 2*p1*x*y + p2*(r2 + 2*x*x) y1 = y*(1 + k1*r2 + k2*r4 + k3*r6) + p1*(r2 + 2*y*y) + p2*x*y ## Tintin lens k1 = 0.909882 k2 = -3.559455 k3 = 3.626591 p1 = 0.047604 p2 = -0.005546 x2 = x*(1 + k1*r2 + k2*r4 + k3*r6) + 2*p1*x*y + p2*(r2 + 2*x*x) y2 = y*(1 + k1*r2 + k2*r4 + k3*r6) + p1*(r2 + 2*y*y) + p2*x*y r2 = x1*x1 + y1*y1 r4 = r2*r2 r6 = r4*r2 x3 = x1*(1 + k1*r2 + k2*r4 + k3*r6) + 2*p1*x1*y1 + p2*(r2 + 2*x1*x1) y3 = y1*(1 + k1*r2 + k2*r4 + k3*r6) + p1*(r2 + 2*y1*y1) + p2*x1*y1 plt.plot(x, x1, x, x2, 'r', x, x3, 'k') plt.grid(True) plt.legend(['Voxel-A', 'TintinCDK', 'Distorted to Corrected']) plt.show()

21.803922

89

0.590827

229

1,112

2.855895

0.318777

0.027523

0.045872

0.06422

0.244648

0.207951

0.183486

0

0.227525

0.189748

1,112

51

90

21.803922

0.498335

0.202338

0

0.125

0

0.045403

0

1

0

false

0

0.125

0

0.125

0

null

0

1

0

1

0

null

0

2

f89fbc55d5fdda33b1448ba8372bfc73bdac38ae

160

py

Python

Sem-07-T2-04.py

daianasousa/Atividade-Remota-Semana-07

1c4a28bf052057e921730ba79dfb0cdaa74576e0

[ "MIT" ]

null

Sem-07-T2-04.py

daianasousa/Atividade-Remota-Semana-07

1c4a28bf052057e921730ba79dfb0cdaa74576e0

[ "MIT" ]

null

Sem-07-T2-04.py

daianasousa/Atividade-Remota-Semana-07

1c4a28bf052057e921730ba79dfb0cdaa74576e0

[ "MIT" ]

null

num = int(input('Digite um número: ')) total = 0 for c in range(1, num + 1): if num % c == 0: total += 1 if total == 2: print(True) else: print(False)

17.777778

38

0.56875

29

160

3.137931

0.655172

0.065934

0

0.05042

0.25625

160

9

39

17.777778

0.714286

0

0.111801

0

1

0

false

0

0.222222

1

0

null

0

1

0

null

0

2

f8a013a413eff01acb11edba4cd593518603d459

218

py

Python

config.py

hhalim/TargetBanksJupyter

665222d8338de773e36c5635861bc95a71ef6259

[ "MIT" ]

null

config.py

hhalim/TargetBanksJupyter

665222d8338de773e36c5635861bc95a71ef6259

[ "MIT" ]

null

config.py

hhalim/TargetBanksJupyter

665222d8338de773e36c5635861bc95a71ef6259

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Global Configuration """ mssql = { 'server' : 'localhost\SQL2016', 'database' : 'bkrob', 'username' : 'bkrob_adm', 'password' : 'bkrob_adm' } google_geocode_api = 'api key'

16.769231

35

0.582569

22

218

5.590909

0.818182

0.130081

0

0.02907

0.211009

218

13

36

16.769231

0.686047

0.197248

0

0.458333

0

1

0

false

0.142857

0

1

0

null

0

null

0

1

0

2

f8b1dd964e993cea289bee4b5d5ebddca6506854

1,406

py

Python

videos/views.py

drewvpham/xclude.com

103e89e2326c4c6fbfab819c43bc4e4634913bc9

[ "MIT" ]

null

videos/views.py

drewvpham/xclude.com

103e89e2326c4c6fbfab819c43bc4e4634913bc9

[ "MIT" ]

17

2019-12-26T06:20:07.000Z

2022-02-10T09:04:51.000Z

videos/views.py

drewvpham/xclude.com

103e89e2326c4c6fbfab819c43bc4e4634913bc9

[ "MIT" ]

null

from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin from django.shortcuts import render, get_object_or_404 from django.views.generic import ( ListView, DetailView, CreateView, UpdateView, DeleteView ) from memberships.models import UserMembership from .models import Video class VideoListView(ListView): model = Video class VideoDetailView(DetailView): model = Video template_name = "videos/video_detail.html" class VideoCreateView(CreateView): model = Video fields = ['title','description', 'videofile','thumbnail', 'private', 'tags'] def form_valid(self, form): form.instance.uploader = self.request.user return super().form_valid(form) class VideoUpdateView(LoginRequiredMixin, UserPassesTestMixin, UpdateView): model = Video fields = ['description'] def form_valid(self, form): form.instance.uploader = self.request.user return super().form_valid(form) def test_func(self): video = self.get_object() if self.request.user == video.uploader: return True return False class VideoDeleteView(LoginRequiredMixin, UserPassesTestMixin, DeleteView): model = Video success_url = '/' def test_func(self): video = self.get_object() if self.request.user == video.uploader: return True return False

25.107143

80

0.692745

150

1,406

6.4

0.406667

0.052083

0.0625

0.033333

0.339583

0

0.002722

0.216216

1,406

55

81

25.563636

0.868421

0

0.512195

0

0.05761

0.01707

0

1

0.097561

false

0.073171

0.121951

0

0.707317

0

null

0

null

0

1

0

1

0

2

f8cc90b8a16749124683ec2e928f44dd5f38f12c

1,269

py

Python

Arrays/Find_common_elements_in_three_sorted_arrays/solution.py

abhaydhiman/Pyalgo

69efdd937041548234bf67a2bd0b962b6e60a556

[ "MIT" ]

1

2021-01-05T14:09:47.000Z

Arrays/Find_common_elements_in_three_sorted_arrays/solution.py

abhaydhiman/Pyalgo

69efdd937041548234bf67a2bd0b962b6e60a556

[ "MIT" ]

null

Arrays/Find_common_elements_in_three_sorted_arrays/solution.py

abhaydhiman/Pyalgo

69efdd937041548234bf67a2bd0b962b6e60a556

[ "MIT" ]

null

def my_func(arr1, arr2, arr3): ln1 = len(arr1) ln2 = len(arr2) ln3 = len(arr3) ptr1 = 0 ptr2 = 0 ptr3 = 0 while ptr1 < ln1 and ptr2 < ln2 and ptr3 < ln3: if arr1[ptr1] < arr2[ptr2]: if arr3[ptr3] < arr2[ptr2]: arr1[ptr1] = -1 arr3[ptr3] = -1 ptr3 += 1 ptr1 += 1 else: arr1[ptr1] = -1 ptr1 += 1 elif arr2[ptr2] < arr3[ptr3]: if arr1[ptr1] < arr3[ptr3]: arr1[ptr1] = -1 arr2[ptr2] = -1 ptr1 += 1 ptr2 += 1 else: arr2[ptr2] = -1 ptr2 += 1 elif arr3[ptr3] < arr1[ptr1]: if arr2[ptr2] < arr1[ptr1]: arr2[ptr2] = -1 arr3[ptr3] = -1 ptr2 += 1 ptr3 += 1 else: arr3[ptr3] = -1 ptr3 += 1 else: ptr1 += 1 ptr2 += 1 ptr3 += 1 for i in arr1: if i != -1: print(i, end=' ') ls1 = [1, 5, 5] ls2 = [3, 4, 5, 5, 10] ls3 = [5, 5, 10, 20] my_func(ls1, ls2, ls3)

23.5

51

0.339638

145

1,269

2.958621

0.227586

0.130536

0.055944

0.074592

0.11655

0

0.203419

0.539007

1,269

53

52

23.943396

0.529915

0

0.543478

0

0.000788

0

1

0.021739

false

0

0.021739

0

null

0

1

0

null

0

2

6ef2ba10b8f2591bd0e124702b034ea464bd90b0

277

py

Python

atv018.py

luismontei/Atividades-python-2

baaec4f56f30bbef148201d96d5c947e525204a5

[ "Apache-2.0" ]

null

atv018.py

luismontei/Atividades-python-2

baaec4f56f30bbef148201d96d5c947e525204a5

[ "Apache-2.0" ]

null

atv018.py

luismontei/Atividades-python-2

baaec4f56f30bbef148201d96d5c947e525204a5

[ "Apache-2.0" ]

null

n1 = float(input('Informe um número: ')) n2 = float(input('Informe um número: ')) n3 = float(input('Informe um número: ')) if (n1<n2) and (n1<n3) and (n2<n3): print (n1,n2,n3) elif (n2<n1) and (n2<n3) and (n1<n3): print(n2,n1,n3) else: print(n3,n1,n2)

23.083333

41

0.577617

49

277

3.265306

0.265306

0.1875

0.31875

0.35625

0.46875

0

0.110599

0.216607

277

11

42

25.181818

0.626728

0

0.215094

0

1

0

false

0

0.333333

0

null

0

1

0

null

0

2

6efdd3681a7426735e4fca737ee42394f66d6d6a

2,325

py

Python

pysnmp/RAPTOR-SNMPv1-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/RAPTOR-SNMPv1-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/RAPTOR-SNMPv1-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module RAPTOR-SNMPv1-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RAPTOR-SNMPv1-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:43:39 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") MibIdentifier, Gauge32, enterprises, Counter64, Bits, Unsigned32, Counter32, ModuleIdentity, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, IpAddress, NotificationType, NotificationType, iso, TimeTicks = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "Gauge32", "enterprises", "Counter64", "Bits", "Unsigned32", "Counter32", "ModuleIdentity", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "IpAddress", "NotificationType", "NotificationType", "iso", "TimeTicks") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") raptorSystems = MibIdentifier((1, 3, 6, 1, 4, 1, 1294)) raptorModules = MibIdentifier((1, 3, 6, 1, 4, 1, 1294, 1)) raptorObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1294, 2)) raptorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 1294, 3)) raptorNotifyMessage = MibScalar((1, 3, 6, 1, 4, 1, 1294, 2, 1), OctetString()) if mibBuilder.loadTexts: raptorNotifyMessage.setStatus('mandatory') raptorNotifyTrap = NotificationType((1, 3, 6, 1, 4, 1, 1294) + (0,1)).setObjects(("RAPTOR-SNMPv1-MIB", "raptorNotifyMessage")) mibBuilder.exportSymbols("RAPTOR-SNMPv1-MIB", raptorTraps=raptorTraps, raptorNotifyMessage=raptorNotifyMessage, raptorSystems=raptorSystems, raptorModules=raptorModules, raptorNotifyTrap=raptorNotifyTrap, raptorObjects=raptorObjects)

105.681818

543

0.776344

242

2,325

7.458678

0.429752

0.076454

0.009972

0.013296

0.38892

0.279224

0.273684

0.216066

0

0.065666

0.083011

2,325

21

544

110.714286

0.780957

0.141075

0

0.266097

0.022133

0

1

0

false

0

0.428571

0

0.428571

0

null

0

1

0

null

0

1

0

2

3e28790b361fd43b28fee22b773ac286abe25ffb

164

py

Python

webserver/createdb.py

BenjaminAtbi/leaguemate

0df8ec895ff590c3441a06561ffa77df8d088cf0

[ "MIT" ]

null

webserver/createdb.py

BenjaminAtbi/leaguemate

0df8ec895ff590c3441a06561ffa77df8d088cf0

[ "MIT" ]

null

webserver/createdb.py

BenjaminAtbi/leaguemate

0df8ec895ff590c3441a06561ffa77df8d088cf0

[ "MIT" ]

null

import sqlite3 conn = sqlite3.connect('leaguemate.db') c = conn.cursor() sql_file=open('Newdatabase.sql') sql_as_str=sql_file.read() c.executescript(sql_as_str)

16.4

39

0.768293

26

164

4.615385

0.615385

0.116667

0.133333

0

0.013333

0.085366

164

9

40

18.222222

0.786667

0

0.170732

0

1

0

false

0

0.166667

0

0.166667

0

1

0

null

0

1

0

null

0

2

3e41e59b0b53b9277fbe930b9694df6f8e1bdec4

508

py

Python

scripts/demo_client.py

ogoodman/icegrid-starter

3babe028ce8e896eb804e55b4c358d6e37e2a628

[ "MIT" ]

null

scripts/demo_client.py

ogoodman/icegrid-starter

3babe028ce8e896eb804e55b4c358d6e37e2a628

[ "MIT" ]

null

scripts/demo_client.py

ogoodman/icegrid-starter

3babe028ce8e896eb804e55b4c358d6e37e2a628

[ "MIT" ]

1

2022-03-09T12:56:10.000Z

import atexit import sys import Ice import icegrid_config from iceapp import idemo ic = Ice.initialize(sys.argv) atexit.register(ic.destroy) reg_proxy = ic.stringToProxy('IceGrid/Locator:tcp -h %s -p 4061' % icegrid_config.ICE_REG_HOST) registry = Ice.LocatorPrx.uncheckedCast(reg_proxy) ic.setDefaultLocator(registry) printer = idemo.PrinterPrx.uncheckedCast(ic.stringToProxy('printer@Printer-node1.Printer')) printer.printString('Hello!') n = 42 nn = printer.addOne(n) print '%s + 1 = %s' % (n, nn)

22.086957

95

0.765748

72

508

5.319444

0.541667

0.067885

0.052219

0

0.01766

0.108268

508

22

96

23.090909

0.827815

0

0.155819

0.057199

0

null

0

0.333333

null

0.266667

0

null

0

null

0

1

0

1

0

2

3e50d63c5caa5196cb9fe8dbe41c4b058f6853ee

2,655

py

Python

atlastk/__main__.py

splashelec/atlas-python

e6ced65dd10bb28a3857b2addcd0af7cc661a967

[ "MIT" ]

221

2019-04-08T16:58:19.000Z

2022-03-11T22:08:56.000Z

atlastk/__main__.py

splashelec/atlas-python

e6ced65dd10bb28a3857b2addcd0af7cc661a967

[ "MIT" ]

5

2019-06-19T07:03:06.000Z

2022-01-06T07:21:01.000Z

atlastk/__main__.py

splashelec/atlas-python

e6ced65dd10bb28a3857b2addcd0af7cc661a967

[ "MIT" ]

27

2019-05-25T14:58:28.000Z

2022-03-03T01:16:43.000Z

""" MIT License Copyright (c) 2018 Claude SIMON (https://q37.info/s/rmnmqd49) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ # For 'python3 -m atlastk' to work. from Atlas import * if __name__ == "__main__": HEAD = """ <title>"Hello, World !" example</title> <link rel="icon" type="image/png" href="data:image/png;base64,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" /> """ BODY = """ <fieldset> <input id="input" maxlength="20" placeholder="Enter a name here" type="text" xdh:onevent="Submit" value="World"/> <div style="display: flex; justify-content: space-around; margin: 5px auto auto auto;"> <button xdh:onevent="Submit">Submit</button> <button xdh:onevent="Clear">Clear</button> </div> </fieldset> """ def ac_connect(dom): dom.inner("", BODY ) dom.focus( "input") def ac_submit(dom): dom.alert("Hello, {}!".format(dom.get_value("input"))) dom.focus( "input") def ac_clear(dom): if dom.confirm("Are you sure?"): dom.set_value("input", "" ) dom.focus( "input") callbacks = { "": ac_connect, "Submit": ac_submit, "Clear": ac_clear, } launch(callbacks, None, HEAD)

40.846154

608

0.763465

309

2,655

6.508091

0.559871

0.043759

0.019393

0.015912

0.034311

0

0.029903

0.143503

2,655

65

609

40.846154

0.854442

0.426742

0

0.15625

0

0.09375

0.712021

0.422061

0

1

0.09375

false

0

0.03125

0

0.125

0

null

0

1

null

0

2

3e5441bbb1a6d66c791d5736df102678416e17e5

131

py

Python

Boolean/Boolean27.py

liyuanyuan11/Python

d94cc7ab39e56c6e24bfc741a30da77590d1d220

[ "MIT" ]

null

Boolean/Boolean27.py

liyuanyuan11/Python

d94cc7ab39e56c6e24bfc741a30da77590d1d220

[ "MIT" ]

null

Boolean/Boolean27.py

liyuanyuan11/Python

d94cc7ab39e56c6e24bfc741a30da77590d1d220

[ "MIT" ]

null

isWeekend=False isAfterSchool=True isFinishHomework=True print(isWeekend or (not isWeekend and isAfterSchool and isFinishHomework))

32.75

74

0.870229

15

131

7.6

0.6

0

0.076336

131

4

74

32.75

0.942149

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

3e55faa97fffa2b7cf246107038d7a860ecef4ff

821

py

Python

python_developer_tools/cv/utils/PIL_utils.py

carlsummer/python_developer_tools

a8c4365b7cc601cda55648cdfd8c0cb1faae132f

[ "Apache-2.0" ]

32

2021-06-21T04:49:48.000Z

2022-03-29T05:46:59.000Z

python_developer_tools/cv/utils/PIL_utils.py

HonestyBrave/python_developer_tools

fc0dcf5c4ef088e2e535206dc82f09bbfd01f280

[ "Apache-2.0" ]

1

2021-11-12T03:45:55.000Z

python_developer_tools/cv/utils/PIL_utils.py

HonestyBrave/python_developer_tools

fc0dcf5c4ef088e2e535206dc82f09bbfd01f280

[ "Apache-2.0" ]

10

2021-06-03T08:05:05.000Z

2021-12-13T03:10:42.000Z

# !/usr/bin/env python # -- coding: utf-8 -- # @Author zengxiaohui # Datatime:4/30/2021 2:04 PM # @File:PIL_utils import cv2 import numpy as np import numpy import matplotlib.pyplot as plt from PIL import Image, ImageDraw, ImageFont from PIL import Image, ImageOps def PIL2cv2(image): """PIL转cv""" return cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR) def ImgText_CN(img, text, left, top, textColor=(0, 255, 0), textSize=20): # 用于给图片添加中文字符 if (isinstance(img, numpy.ndarray)): # 判断是否为OpenCV图片类型 img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) draw = ImageDraw.Draw(img) fontText = ImageFont.truetype("font/simhei.ttf", textSize, encoding="utf-8") draw.text((left, top), text, textColor, font=fontText) return cv2.cvtColor(numpy.asarray(img), cv2.COLOR_RGB2BGR)

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821

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null

0

1

0

1

0

2

3e5cb9af61c21639caf2af92ae4472cf6468c049

4,771

py

Python

vertex/address.py

twisted/vertex

feb591aa1b9a3b2b8fdcf53e4962dad2a0bc38ca

[ "MIT" ]

56

2015-01-09T03:52:07.000Z

2021-09-26T22:17:06.000Z

vertex/address.py

DalavanCloud/vertex

feb591aa1b9a3b2b8fdcf53e4962dad2a0bc38ca

[ "MIT" ]

34

2015-03-05T02:57:48.000Z

2017-05-23T22:34:13.000Z

vertex/address.py

DalavanCloud/vertex

feb591aa1b9a3b2b8fdcf53e4962dad2a0bc38ca

[ "MIT" ]

17

2015-04-17T02:03:16.000Z

2021-11-12T03:31:07.000Z

# Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. from functools import total_ordering @total_ordering class Q2QAddress(object): def __init__(self, domain, resource=None): self.resource = resource self.domain = domain def domainAddress(self): """ Return an Address object which is the same as this one with ONLY the 'domain' attribute set, not 'resource'. May return 'self' if 'resource' is already None. @return: """ if self.resource is None: return self else: return Q2QAddress(self.domain) def claimedAsIssuerOf(self, cert): """ Check if the information in a provided certificate *CLAIMS* to be issued by this address. PLEASE NOTE THAT THIS METHOD IS IN NO WAY AUTHORITATIVE. It does not perform any cryptographic checks. Currently this check is if L{Q2QAddress.__str__}C{(self)} is equivalent to the commonName on the certificate's issuer. @param cert: @return: """ return cert.getIssuer().commonName == str(self) def claimedAsSubjectOf(self, cert): """ Check if the information in a provided certificate *CLAIMS* to be provided for use by this address. PLEASE NOTE THAT THIS METHOD IS IN NO WAY AUTHORITATIVE. It does not perform any cryptographic checks. Currently this check is if L{Q2QAddress.__str__}C{(self)} is equivalent to the commonName on the certificate's subject. @param cert: @return: """ return cert.getSubject().commonName == str(self) def _tupleme(self): """ L{Q2QAddress}es sort by domain, then by resource. """ return (self.domain, self.resource) def __lt__(self, other): """ Is this less than something? @param other: the thing that this is maybe less than @type other: maybe L{Q2QAddress}? who knows @return: L{True} or L{False} """ if not isinstance(other, Q2QAddress): return NotImplemented return (self._tupleme() < other._tupleme()) def __eq__(self, other): """ Is this equal to something? @param other: the thing that this is maybe equal to @type other: maybe L{Q2QAddress}? who knows @return: L{True} or L{False} """ if not isinstance(other, Q2QAddress): return NotImplemented return (self._tupleme() == other._tupleme()) def __iter__(self): return iter((self.resource, self.domain)) def __str__(self): """ Return a string of the normalized form of this address. e.g.:: glyph@divmod.com # for a user divmod.com # for a domain """ if self.resource: resource = self.resource + '@' else: resource = '' return (resource + self.domain).encode('utf-8') def __repr__(self): return '<Q2Q at %s>' % self.__str__() def __hash__(self): return hash(str(self)) def fromString(cls, string): args = string.split("@", 1) args.reverse() return cls(*args) fromString = classmethod(fromString) class VirtualTransportAddress: def __init__(self, underlying): self.underlying = underlying def __repr__(self): return 'VirtualTransportAddress(%r)' % (self.underlying,) class Q2QTransportAddress: """ The return value of getPeer() and getHost() for Q2Q-enabled transports. Passed to buildProtocol of factories passed to listenQ2Q. @ivar underlying: The return value of the underlying transport's getPeer() or getHost(); an address which indicates the path which the bytes carrying Q2Q traffic are travelling over. It is tempting to think of this as a 'physical' layer but that it not necessarily accurate; there are potentially multiple layers of wrapping on any Q2Q transport, as an SSL transport may be tunnelled over a UDP NAT-traversal layer. Implements C{IAddress} from Twisted, for all the good that will do you. @ivar logical: a L{Q2QAddress}, The logical peer; the user ostensibly listening to data on the other end of this transport. @ivar protocol: a L{str}, the name of the protocol that is connected. """ def __init__(self, underlying, logical, protocol): self.underlying = underlying self.logical = logical self.protocol = protocol def __repr__(self): return 'Q2QTransportAddress(%r, %r, %r)' % ( self.underlying, self.logical, self.protocol)

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0

null

0

null

0

1

0

1

0

2

3e7e3fe5db1bc80f0933213c4c0534bb91c3225c

1,782

py

Python

usuals.py

eduardodsn/covid-19-tracker-brasil

d449b0e4908469d661cf8a16934738f1b1200c04

[ "MIT" ]

null

usuals.py

eduardodsn/covid-19-tracker-brasil

d449b0e4908469d661cf8a16934738f1b1200c04

[ "MIT" ]

null

usuals.py

eduardodsn/covid-19-tracker-brasil

d449b0e4908469d661cf8a16934738f1b1200c04

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup class UsualFunctions(): def __init__(self): self.page = requests.get('https://www.worldometers.info/coronavirus/country/brazil/') self.soup = BeautifulSoup(self.page.content, 'html.parser') self.main_info = self.soup.find_all(class_='maincounter-number') # total, deaths, recovered self.active_info = self.soup.find(class_='number-table-main') # active cases self.active_conditions = self.soup.find_all(class_='number-table') # condition of active cases # get total of cases from main info def get_cases(self): cases = self.main_info[0].span.text cases = self.format_string(cases) return cases # get total of recovered from main info def get_recovered(self): recovered = self.main_info[2].span.text recovered = self.format_string(recovered) return recovered # get total of deaths from main info def get_deaths(self): deaths = self.main_info[1].span.text deaths = self.format_string(deaths) return deaths # get total of active cases from active info def get_active_cases(self): active = self.active_info.text active = self.format_string(active) return active # get total of mild conditions def get_mild_conditions(self): mild = self.active_conditions[0].text mild = self.format_string(mild) return mild # get total of serious or critical conditions def get_serious_conditions(self): serious = self.active_conditions[1].text serious = self.format_string(serious) return serious # format strings def format_string(self, string): return string.replace(',', '.')

31.263158

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0.242424

1,782

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103

31.263158

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false

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0

null

0

null

0

1

0

1

0

2

3e912ff23879be387859ea9f11ef80a93dbe5536

346

py

Python

tests/conftest.py

DewMaple/toolkit

a1f04d1b53420c64e15f684c83acb54276031346

[ "BSD-3-Clause" ]

null

tests/conftest.py

DewMaple/toolkit

a1f04d1b53420c64e15f684c83acb54276031346

[ "BSD-3-Clause" ]

null

tests/conftest.py

DewMaple/toolkit

a1f04d1b53420c64e15f684c83acb54276031346

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import errno import pytest try: __import__("pytest_xprocess") from xprocess import ProcessStarter except ImportError: @pytest.fixture(scope="session") def xprocess(): pytest.skip("pytest-xprocess not installed.") @pytest.fixture def db_url(): return "mysql://root@localhost:3306/lms_test"

18.210526

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346

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0.017544

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0.666667

0

null

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null

0

1

0

1

0

2

e4257bcebfcfa2201edb018bc1ab4335ee10e023

551

py

Python

osoriweb/website/board/forms.py

HyOsori/Osori-Website

57a2e62f320e5eac15c73416962b5b6cf049250f

[ "MIT" ]

15

2017-04-01T06:17:56.000Z

2018-01-13T13:26:01.000Z

osoriweb/website/board/forms.py

HyOsori/Osori-Website

57a2e62f320e5eac15c73416962b5b6cf049250f

[ "MIT" ]

7

2019-08-22T07:24:30.000Z

2022-03-11T23:14:38.000Z

osoriweb/website/board/forms.py

HyOsori/Osori-Website

57a2e62f320e5eac15c73416962b5b6cf049250f

[ "MIT" ]

3

2017-08-25T14:02:28.000Z

2017-09-01T04:18:52.000Z

from django import forms from .models import Article from .models import BoardType from django_summernote.widgets import SummernoteWidget # 게시글 폼 class ArticleForm(forms.ModelForm): def __init__(self, *args, **kwargs): kwargs.setdefault('label_suffix','') super(ArticleForm,self).__init__(*args,**kwargs) class Meta: model = Article fields = ('title', 'text',) # 제목과 내용을 입력 가능하도록 설정 title = forms.CharField(required=True, label="제목") text = forms.CharField(widget=SummernoteWidget, label="내용")

23.956522

63

0.689655

65

551

5.692308

0.615385

0.054054

0.086486

0

0.194192

551

22

64

25.045455

0.833333

0.045372

0

0.047985

0

1

0.076923

false

0

0.307692

0

0.692308

0

null

0

null

0

1

0

1

0

2

e42951f67727ccd6e72e3288985c64a860ccc3dd

8,276

py

Python

oldp/apps/references/models.py

docsuleman/oldp

8dcaa8e6e435794c872346b5014945ace885adb4

[ "MIT" ]

66

2018-05-07T12:34:39.000Z

2022-02-23T20:14:24.000Z

oldp/apps/references/models.py

Justice-PLP-DHV/oldp

eadf235bb0925453d9a5b81963a0ce53afeb17fd

[ "MIT" ]

68

2018-06-11T16:13:17.000Z

2022-02-10T08:03:26.000Z

oldp/apps/references/models.py

Justice-PLP-DHV/oldp

eadf235bb0925453d9a5b81963a0ce53afeb17fd

[ "MIT" ]

15

2018-06-23T19:41:13.000Z

2021-08-18T08:21:49.000Z

import hashlib import logging import re from django.db import models from django.db.models.signals import pre_delete from django.dispatch import receiver from django.urls import reverse from oldp.apps.cases.models import Case from oldp.apps.laws.models import Law from oldp.apps.lib.markers import BaseMarker from oldp.apps.search.templatetags.search import search_url logger = logging.getLogger(__name__) class Reference(models.Model): """ A reference connecting two content objects (1:1 relation). The object that is referenced is either "law", "case" or ... (reference target). The referencing object (the object which text contains the reference) can be derived via marker. Depending on the referencing object (its marker) the corresponding implementation is used. If the referenced object is not defined, the reference is "not assigned" (is_assigned method) """ law = models.ForeignKey(Law, null=True, blank=True, on_delete=models.SET_NULL) case = models.ForeignKey(Case, null=True, blank=True, on_delete=models.SET_NULL) to = models.CharField(max_length=250) # to as string, if case or law cannot be assigned (ref id) to_hash = models.CharField(max_length=100, null=True) count = None class Meta: pass def get_marker(self): """Reverse m2m-field look up""" marker = self.casereferencemarker_set.first() if marker is None: marker = self.lawreferencemarker_set.first() return marker def get_admin_url(self): return reverse('admin:references_reference_change', args=(self.pk, )) def get_absolute_url(self): """ Returns Url to law or case item (if exist) otherwise return search Url. :return: """ if self.law is not None: return self.law.get_absolute_url() elif self.case is not None: return self.case.get_absolute_url() else: return search_url(self.get_marker().text) def get_target(self): if self.has_law_target(): return self.law elif self.has_case_target(): return self.case else: return None def has_law_target(self): return self.law is not None def has_case_target(self): return self.case is not None def get_title(self): # TODO handle unassigned refs if self.has_law_target(): return self.law.get_title() elif self.has_case_target(): return self.case.get_title() else: return self.to # TODO # to = json.loads(self.to) # to['sect'] = str(to['sect']) # # if to['type'] == 'law' and 'book' in to and 'sect' in to: # print(to) # if to['book'] == 'gg': # sect_prefix = 'Art.' # elif 'anlage' in to['sect']: # sect_prefix = '' # else: # sect_prefix = '§' # to['sect'] = to['sect'].replace('anlage-', 'Anlage ') # return sect_prefix + ' ' + to['sect'] + ' ' + to['book'].upper() # else: # return self.get_marker().text def is_assigned(self): return self.has_law_target() or self.has_case_target() def set_to_hash(self): """ Generate a unique hash for this reference (used for grouping) """ m = hashlib.md5() if self.has_law_target(): hash_this = 'law/%i' % self.law_id elif self.has_case_target(): hash_this = 'case/%i' % self.case_id else: hash_this = 'unassigend/' + self.to m.update(hash_this.encode('utf-8')) self.to_hash = m.hexdigest() def __repr__(self): return self.__str__() def __str__(self): if self.count: return '<Reference(count=%i, to=%s, hash=%s)>' % (self.count, self.to, self.to_hash) else: # return self.__dict__ return '<Reference(%s, target=%s)>' % (self.to, self.get_target()) class ReferenceMarker(models.Model, BaseMarker): """ Abstract class for reference markers, i.e. the actual reference within a text "§§ 12-14 BGB". Marker has a position (start, end, line), text of the marker as in the text, list of references (can be law, case, ...). Implementations of abstract class (LawReferenceMarker, ...) have the corresponding source object (LawReferenceMarker: referenced_by = a law object). """ text = models.CharField( max_length=250, help_text='Text that represents the marker (e.g. § 123 ABC)' ) # uuid = models.CharField(max_length=36) # Deprecated start = models.IntegerField( default=0, help_text='Position of marker' ) end = models.IntegerField( default=0, help_text='Position of marker', ) line_number = models.IntegerField( default=0, help_text='Number of line, i.e. paragraph, in which marker occurs (0=not set)' ) referenced_by = None referenced_by_type = None references = None class Meta: abstract = True def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # TODO Handle ids with signals? def get_referenced_by(self): raise NotImplementedError() def get_start_position(self): return self.start def get_end_position(self): return self.end def get_marker_open_format(self): return '<a href="#refs" onclick="clickRefMarker(this);" data-marker-id="{id}" class="ref">' def get_marker_close_format(self): return '</a>' def __repr__(self): return self.__str__() def __str__(self): return 'RefMarker(ids=%s, line=%s, pos=%i-%i, by=%s)' % ('self.ids', self.line, self.start, self.end, self.referenced_by) @staticmethod def remove_markers(value): return re.sub(r'\[ref=([-a-z0-9]+)\](.*?)\[\/ref\]', r'\2', value) @staticmethod def make_markers_clickable(value): """ TODO Replace ref marker number with db id """ return re.sub(r'\[ref=([-a-z0-9]+)\](.*?)\[\/ref\]', r'<a href="#refs" onclick="clickRefMarker(this);" data-marker-id="\1" class="ref">\2</a>', value) class LawReferenceMarker(ReferenceMarker): """ A reference marker in a law content object. """ referenced_by_type = Law referenced_by = models.ForeignKey(Law, on_delete=models.CASCADE) references = models.ManyToManyField(Reference, through='ReferenceFromLaw') def get_referenced_by(self) -> Law: return self.referenced_by class CaseReferenceMarker(ReferenceMarker): """ A reference marker in a case content object. """ referenced_by_type = Case referenced_by = models.ForeignKey(Case, on_delete=models.CASCADE) references = models.ManyToManyField(Reference, through='ReferenceFromCase') def get_referenced_by(self) -> Case: return self.referenced_by @receiver(pre_delete, sender=LawReferenceMarker) @receiver(pre_delete, sender=CaseReferenceMarker) def pre_delete_reference_marker(sender, instance: ReferenceMarker, *args, **kwargs): # Delete all corresponding references Reference.objects.filter(pk__in=instance.references.all()).delete() class ReferenceFromContent(models.Model): """ Helper class for using `select_related` on ManyToManyField Table exist already from ManyToManyField, run migration with: ./manage.py migrate --fake references 0007_fake_helper_tables_for_m2m """ reference = models.ForeignKey(Reference, on_delete=models.CASCADE) marker = None class Meta: abstract = True class ReferenceFromCase(ReferenceFromContent): marker = models.ForeignKey(CaseReferenceMarker, on_delete=models.CASCADE, db_column='casereferencemarker_id') class Meta: db_table = 'references_casereferencemarker_references' class ReferenceFromLaw(ReferenceFromContent): marker = models.ForeignKey(LawReferenceMarker, on_delete=models.CASCADE, db_column='lawreferencemarker_id') class Meta: db_table = 'references_lawreferencemarker_references'

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0.169472

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0.10137

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0.666667

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null

0

null

0

1

0

1

0

2

e42ff4dbd6eb75d3772ea6d8052f7d8d05171cc0

573

py

Python

fv3config/config/__init__.py

VulcanClimateModeling/fv3config

544eaf1bc6f1c4617cd8ee6bd3298136ed180f4c

[ "BSD-2-Clause" ]

2

2019-11-12T21:05:09.000Z

2019-11-17T18:08:34.000Z

fv3config/config/__init__.py

VulcanClimateModeling/fv3config

544eaf1bc6f1c4617cd8ee6bd3298136ed180f4c

[ "BSD-2-Clause" ]

77

2019-11-12T21:15:38.000Z

2021-05-07T22:39:36.000Z

fv3config/config/__init__.py

VulcanClimateModeling/fv3config

544eaf1bc6f1c4617cd8ee6bd3298136ed180f4c

[ "BSD-2-Clause" ]

null

from .namelist import ( config_to_namelist, config_from_namelist, ) from .rundir import write_run_directory from .alter import enable_restart, set_run_duration from .derive import get_n_processes, get_run_duration, get_timestep from .nudging import get_nudging_assets, enable_nudging from .diag_table import ( DiagFileConfig, DiagFieldConfig, DiagTable, Packing, FileFormat, ) from ._serialization import load, dump def get_default_config(): """Removed, do not use.""" raise NotImplementedError("get_default_config has been removed")

24.913043

68

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72

573

5.833333

0.569444

0.057143

0.07619

0

0.160558

573

22

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26.045455

0.873181

0.034904

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0.055556

true

0

0.388889

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0.444444

0

null

0

null

0

1

0

1

0

2

e44b77a3dd8929f05dd5ecc7851517a261576224

2,311

py

Python

spi.py

hurasum/esp32_python

59302ea48c3e1e0190fed09f78bb18d5f49b9c71

[ "Unlicense" ]

null

spi.py

hurasum/esp32_python

59302ea48c3e1e0190fed09f78bb18d5f49b9c71

[ "Unlicense" ]

1

2021-12-14T09:34:25.000Z

2021-12-20T13:41:03.000Z

spi.py

hurasum/esp32_python

59302ea48c3e1e0190fed09f78bb18d5f49b9c71

[ "Unlicense" ]

null

""" SPI typing class This class includes full support for using ESP32 SPI peripheral in master mode Only SPI master mode is supported for now. Python exception wil be raised if the requested spihost is used by SD Card driver (sdcard in spi mode). If the requested spihost is VSPI and the psRAM is used at 80 MHz, the exception will be raised. The exception will be raised if SPI cannot be configured for given configurations. """ class SPI: def deinit(self): """ Deinitialize the SPI object, free all used resources. """ pass def read(self, len, val): """ Read len bytes from SPI device. Returns the string of read bytes. If the optional val argument is given, outputs val byte on mosi during read (if duplex mode is used). """ pass def readinto(self, buf, val): """ Read bytes from SPI device into buffer object buf. Length of buf bytes are read. If the optional val argument is given, outputs val byte on mosi during read (if duplex mode is used). """ pass def readfrom_mem(self, address, length, addrlen): """ Writes address to the spi device and reads length bytes. The number of the address bytes to write is determined from the address value (1 byte for 0-255, 2 bytes for 256-65535, ...). The number of address bytes to be written can also be set by the optional argument addrlen (1-4). Returns the string of read bytes. """ pass def write(self, buf): """ Write bytes from buffer object buf to the SPI device. Returns True on success, False ion error """ pass def write_readinto(self, wr_buf, rd_buf): """ Write bytes from buffer object wr_buf to the SPI device and reads from SPI device into buffer object rd_buf. The lenghts of wr_buf and rd_buf can be different. In fullduplex mode write and read are simultaneous. In halfduplex mode the data are first written to the device, then read from it. Returns True on success, False ion error """ pass def select(self): """ Activates the CS pin if it was configured when the spi object was created. """ pass

31.657534

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0.645608

344

2,311

4.313953

0.351744

0.028302

0.02628

0.028302

0.390836

0.314016

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0.115903

0

0.012361

0.29987

2,311

72

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32.097222

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0.466667

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0.533333

0

null

0

null

0

1

0

1

0

2

e4646c76defe0292be4e4ba737853a6d93aaffda

17,829

py

Python

advbench/hparams_registry.py

constrainedlearning/advbench

68f9f6d77268aad45517ca84d383b996724cc976

[ "MIT" ]

null

advbench/hparams_registry.py

constrainedlearning/advbench

68f9f6d77268aad45517ca84d383b996724cc976

[ "MIT" ]

null

advbench/hparams_registry.py

constrainedlearning/advbench

68f9f6d77268aad45517ca84d383b996724cc976

[ "MIT" ]

null

import numpy as np from advbench.lib import misc from advbench import datasets def default_hparams(algorithm, perturbation, dataset): return {a: b for a, (b, c) in _hparams(algorithm, perturbation, dataset, 0).items()} def random_hparams(algorithm, perturbation, dataset, seed): return {a: c for a, (b, c) in _hparams(algorithm, perturbation, dataset, seed).items()} def _hparams(algorithm: str, perturbation:str, dataset: str, random_seed: int): """Global registry of hyperparams. Each entry is a (default, random) tuple. New algorithms / networks / etc. should add entries here. """ hparams = {} def _hparam(name, default_val, random_val_fn): """Define a hyperparameter. random_val_fn takes a RandomState and returns a random hyperparameter value.""" assert(name not in hparams) random_state = np.random.RandomState(misc.seed_hash(random_seed, name)) hparams[name] = (default_val, random_val_fn(random_state)) # Unconditional hparam definitions. if dataset == 'IMNET': _hparam('batch_size', 64, lambda r: int(2 ** r.uniform(3, 8))) elif dataset == 'modelnet40': _hparam('batch_size', 32, lambda r: int(2 ** r.uniform(3, 6))) else: _hparam('batch_size', 128, lambda r: int(2 ** r.uniform(3, 8))) _hparam('augmentation_prob', 0.5, lambda r: 0.5) _hparam('perturbation_batch_size', 10, lambda r: 10) _hparam('mh_dale_scale', 0.05, lambda r: 0.05) _hparam('mh_proposal', 'Laplace', lambda r: 'Laplace') _hparam('gaussian_attack_std', 1, lambda r: 1 ) _hparam('laplacian_attack_std', 1, lambda r: 1 ) _hparam('adv_penalty', 1, lambda r: 1) if dataset == 'IMNET': _hparam('label_smoothing', 0.1, lambda r: 0.1 ) else: _hparam('label_smoothing', 0.0, lambda r: 0.0) # optimization if dataset == 'MNIST': _hparam('learning_rate', 0.01, lambda r: 10 ** r.uniform(-1.5, -0.5)) _hparam('lr_decay_start', 15, lambda r: 15) _hparam('lr_decay_factor', 0.8, lambda r: r.uniform(0.1, 0.3)) _hparam('lr_decay_epoch', 1, lambda r: 1) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('learning_rate', 0.1, lambda r: 10 ** r.uniform(-2, -1)) if dataset == 'CIFAR100' or dataset == 'STL10': _hparam('lr_decay_start', 0, lambda r: 0) _hparam('lr_decay_factor', 0.2, lambda r: r.uniform(0.1, 0.3)) _hparam('lr_decay_epoch', 60, lambda r: 60) if dataset == 'IMNET': _hparam('learning_rate', 0.01, lambda r: 10 ** r.uniform(-1.5, -0.5)) _hparam('lr_decay_start', 0, lambda r: 0) _hparam('lr_decay_factor', 0.8, lambda r: r.uniform(0.1, 0.3)) _hparam('lr_decay_epoch', 1, lambda r: 1) if dataset == 'modelnet40': _hparam('learning_rate', 0.1, lambda r: 10 ** r.uniform(-1.5, -0.5)) _hparam('weight_decay', 1e-4, lambda r: 10 ** r.uniform(-4, -3)) else: _hparam('weight_decay', 5e-4, lambda r: 10 ** r.uniform(-6, -3)) _hparam('sgd_momentum', 0.9, lambda r: r.uniform(0.8, 0.95)) # Wether to batch parrallelizable attacks, bigger mem footprint but faster if dataset == 'STL10': _hparam('batched', 0, lambda r: 0) else: _hparam('batched', 1, lambda r: 1) if perturbation == 'Linf': if dataset == 'MNIST': _hparam('epsilon', 0.3, lambda r: 0.3) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('epsilon', 0.031, lambda r: 0.031) elif perturbation == 'Rotation': if dataset == 'MNIST': _hparam('epsilon', 30, lambda r: 30) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('epsilon', 30, lambda r: 30) # Perturbation Specific elif perturbation == 'Rotation': ##### PGD ##### if dataset == 'MNIST': _hparam('pgd_n_steps', 20, lambda r: 20) _hparam('pgd_step_size', 1, lambda r: 1) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('pgd_n_steps', 20, lambda r: 20) _hparam('pgd_step_size', 10, lambda r: 10) # DALE (Laplacian-HMC) if dataset == 'MNIST': _hparam('l_dale_n_steps', 15, lambda r: 15) _hparam('l_dale_step_size', 2, lambda r: 2) _hparam('l_dale_noise_coeff', 1, lambda r: 10 ** r.uniform(-1.0, -1.0)) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('l_dale_n_steps', 10, lambda r: 10) _hparam('l_dale_step_size', 0.007, lambda r: 0.007) _hparam('l_dale_noise_coeff', 1e-2, lambda r: 1e-2) _hparam('l_dale_nu', 0.1, lambda r: 0.1) _hparam('l_dale_eta', 0.1, lambda r: 0.1) # Discrete Dale if dataset == 'MNIST': _hparam('l_dale_n_steps', 15, lambda r: 15) _hparam('l_dale_step_size', 2, lambda r: 2) _hparam('l_dale_noise_coeff', 1, lambda r: 10 ** r.uniform(-1.0, -1.0)) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('l_dale_n_steps', 10, lambda r: 10) _hparam('l_dale_step_size', 0.007, lambda r: 0.007) _hparam('l_dale_noise_coeff', 1e-2, lambda r: 1e-2) # DALE-PD (Gaussian-HMC) _hparam('g_dale_pd_step_size', 2, lambda r: 2) _hparam('g_dale_pd_eta', 0.01, lambda r: 0.01) _hparam('g_dale_pd_margin', 1.45, lambda r: 1.45) # DALE-PD-INV (Gaussian-HMC) _hparam('g_dale_pd_inv_step_size', 2, lambda r: 2) _hparam('g_dale_pd_inv_eta', 0.01, lambda r: 0.01) _hparam('g_dale_pd_inv_margin', 0.147, lambda r: 0.147) # Worst of K _hparam('worst_of_k_steps', 10, lambda r: 10) # Grid Search _hparam('grid_size', 10, lambda r: 10) elif perturbation=='SE': ##### Worst of K ###### _hparam('worst_of_k_steps', 30, lambda r:30) _hparam('fo_sgd_step_size', 100, lambda r:100) _hparam('fo_sgd_momentum', 0.1, lambda r:0.1) _hparam('fo_adam_step_size', 0.1, lambda r:0.1) _hparam('fo_n_steps', 30, lambda r:20) _hparam('fo_restarts', 1, lambda r:1) _hparam('pgd_n_steps', 30, lambda r: 30) _hparam('pgd_step_size', 0.1, lambda r: 0.1) # MH DALE _hparam('mh_dale_n_steps', 30, lambda r:30) _hparam('epsilon_rot', 30, lambda r:30) if dataset == 'STL10': _hparam('epsilon_tx', 10, lambda r:10) _hparam('epsilon_ty', 10, lambda r:10) else: _hparam('epsilon_tx', 3, lambda r:3) _hparam('epsilon_ty', 3, lambda r:3) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 30, lambda r: 30) _hparam('l_dale_step_size', 0.05, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('l_dale_noise_coeff', 0.01,lambda r: 10 ** r.uniform(-3.0, -1.5)) _hparam('l_dale_nu', 0.1, lambda r: 0.1) _hparam('l_dale_eta', 0.001, lambda r: 0.001) # DALE-PD (Gaussian-HMC) _hparam('g_dale_pd_step_size', 2, lambda r: 2) _hparam('g_dale_pd_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_margin', 0.16, lambda r: 0.16) # DALE-PD-INV (Gaussian-HMC) _hparam('g_dale_pd_inv_step_size', 0.1, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('g_dale_pd_inv_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_inv_margin', 0.2, lambda r: 0.2) # DALE-PD-INV (Laplacian-HMC) if dataset == 'MNIST': _hparam('l_dale_pd_inv_step_size', 0.05, lambda r: 0.05) _hparam('l_dale_pd_inv_eta', 0.0008, lambda r: 0.0008) _hparam('l_dale_pd_inv_margin', 0.07, lambda r: 0.07) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('l_dale_pd_inv_step_size', 1, lambda r: 1) _hparam('l_dale_pd_inv_eta', 0.0001, lambda r: 0.0001) _hparam('l_dale_pd_inv_margin', 0.3, lambda r: 0.3) # Discrete DALE-PD-INV _hparam('d_num_translations', 3, lambda r: 3) _hparam('d_num_rotations', 20, lambda r: 20) if dataset == 'MNIST': _hparam('d_dale_pd_inv_step_size', 0.05, lambda r: 0.05) _hparam('d_dale_pd_inv_eta', 0.0008, lambda r: 0.0008) _hparam('d_dale_pd_inv_margin', 0.14, lambda r: 0.14) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('d_dale_pd_inv_step_size', 1, lambda r: 1) _hparam('d_dale_pd_inv_eta', 0.00005, lambda r: 0.00005) _hparam('d_dale_pd_inv_margin', 0.15, lambda r: 0.15) # Grid Search _hparam('grid_size', 120, lambda r: 120) elif perturbation=='Translation': ##### Worst of K ###### _hparam('worst_of_k_steps', 10, lambda r:10) if dataset == 'STL10': _hparam('epsilon_tx', 10, lambda r:10) _hparam('epsilon_ty', 10, lambda r:10) else: _hparam('epsilon_tx', 3, lambda r:3) _hparam('epsilon_ty', 3, lambda r:3) ##### PGD ##### _hparam('pgd_n_steps', 20, lambda r: 20) _hparam('pgd_step_size', 0.1, lambda r: 0.1) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 10, lambda r: 10) _hparam('l_dale_step_size', 0.4, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('l_dale_noise_coeff', 0.02,lambda r: 10 ** r.uniform(-3.0, -1.5)) _hparam('l_dale_nu', 0.1, lambda r: 0.1) _hparam('l_dale_eta', 0.001, lambda r: 0.001) # DALE-PD (Gaussian-HMC) _hparam('g_dale_pd_step_size', 2, lambda r: 2) _hparam('g_dale_pd_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_margin', 0.16, lambda r: 0.16) # DALE-PD-INV (Gaussian-HMC) _hparam('g_dale_pd_inv_step_size', 0.4, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('g_dale_pd_inv_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_inv_margin', 0.2, lambda r: 0.2) # DALE-PD-INV (Laplacian-HMC) if dataset == 'MNIST': _hparam('l_dale_pd_inv_step_size', 0.4, lambda r: 0.4) _hparam('l_dale_pd_inv_eta', 0.0008, lambda r: 0.0008) _hparam('l_dale_pd_inv_margin', 0.03, lambda r: 0.03) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('l_dale_pd_inv_step_size', 0.1, lambda r: 0.1) _hparam('l_dale_pd_inv_eta', 0.00005, lambda r: 0.00005) _hparam('l_dale_pd_inv_margin', 0.08, lambda r: 0.08) # Discrete DALE-PD-INV _hparam('d_num_translations', 3, lambda r: 3) _hparam('d_num_rotations', 20, lambda r: 20) if dataset == 'MNIST': _hparam('d_dale_pd_inv_step_size', 0.05, lambda r: 0.05) _hparam('d_dale_pd_inv_eta', 0.0008, lambda r: 0.0008) _hparam('d_dale_pd_inv_margin', 0.14, lambda r: 0.14) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('d_dale_pd_inv_step_size', 0.2, lambda r: 0.2) _hparam('d_dale_pd_inv_eta', 0.00005, lambda r: 0.00005) _hparam('d_dale_pd_inv_margin', 0.08, lambda r: 0.08) # Grid Search _hparam('grid_size', 120, lambda r: 120) elif dataset=='modelnet40': _hparam('fo_sgd_momentum', 0.1, lambda r:0.1) _hparam('fo_adam_step_size', 0.1, lambda r:0.1) _hparam('fo_n_steps', 10, lambda r:10) _hparam('fo_restarts', 1, lambda r:1) _hparam('pgd_n_steps', 10, lambda r: 10) _hparam('pgd_step_size', 0.1, lambda r: 0.1) _hparam('worst_of_k_steps', 10, lambda r:10) if perturbation == "PointcloudTranslation": _hparam('epsilon_tx', 0.25, lambda r:0.25) _hparam('epsilon_ty', 0.2, lambda r:0.2) elif perturbation == "PointcloudJitter": _hparam('epsilon', 0.05, lambda r:0.05) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 10, lambda r: 10) _hparam('l_dale_step_size', 0.4, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('l_dale_noise_coeff', 0.02,lambda r: 10 ** r.uniform(-3.0, -1.5)) _hparam('l_dale_nu', 0.1, lambda r: 0.1) _hparam('l_dale_eta', 0.001, lambda r: 0.001) # DALE-PD (Gaussian-HMC) _hparam('g_dale_pd_step_size', 2, lambda r: 2) _hparam('g_dale_pd_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_margin', 0.16, lambda r: 0.16) # DALE-PD-INV (Gaussian-HMC) _hparam('g_dale_pd_inv_step_size', 0.4, lambda r: 10 ** r.uniform(-2.0, -0.5)) _hparam('g_dale_pd_inv_eta', 0.0001, lambda r: 0.0001) _hparam('g_dale_pd_inv_margin', 0.2, lambda r: 0.2) # DALE-PD-INV (Laplacian-HMC) if perturbation == "PointcloudTranslation": _hparam('l_dale_pd_inv_step_size', 0.1, lambda r: 0.1) _hparam('l_dale_pd_inv_eta', 0.0002, lambda r: 0.0002) _hparam('l_dale_pd_inv_margin', 0.35, lambda r: 0.35) elif perturbation == "PointcloudJitter": _hparam('l_dale_pd_inv_step_size', 0.4, lambda r: 0.4) _hparam('l_dale_pd_inv_eta', 0.000025, lambda r: 0.000025) _hparam('l_dale_pd_inv_margin', 1.4, lambda r: 1.4) # Grid Search _hparam('grid_size', 120, lambda r: 120) else: raise NotImplementedError return hparams def test_hparams(algorithm: str, perturbation:str, dataset: str): hparams = {} def _hparam(name, default_val): """Define a hyperparameter for test adversaries.""" assert(name not in hparams) hparams[name] = default_val _hparam('perturbation_batch_size', 10) _hparam('gaussian_attack_std', 0.5) _hparam('laplacian_attack_std', 0.5) _hparam('fo_sgd_step_size', 10e2) _hparam('fo_sgd_momentum', 0.5) _hparam('fo_n_steps', 30) _hparam('fo_restarts', 10) _hparam('fo_adam_step_size', 0.1) _hparam('grid_size', 100) _hparam('worst_of_k_steps', 120) _hparam('batched', 1) if perturbation=='Rotation': if dataset == 'MNIST': _hparam('epsilon', 30) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('epsilon', 20) ##### PGD ##### if dataset == 'MNIST': _hparam('pgd_n_steps', 10) _hparam('pgd_step_size', 2) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('pgd_n_steps', 10) _hparam('pgd_step_size', 2) elif perturbation=='Translation': _hparam('epsilon_tx', 4) _hparam('epsilon_ty', 4) ###### MH ########### _hparam('mh_dale_scale', 0.2) _hparam('mh_dale_n_steps', 30) _hparam('mh_proposal', 'Laplace') ##### PGD ##### if dataset == 'MNIST': _hparam('pgd_n_steps', 30) _hparam('pgd_step_size', 0.5) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('pgd_n_steps', 20) _hparam('pgd_step_size', 0.2) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 20) _hparam('l_dale_step_size', 0.2) _hparam('l_dale_noise_coeff', 0.2) _hparam('l_dale_nu', 0.1) elif perturbation=='SE': ##### Worst of K ###### _hparam('epsilon_rot', 30) if dataset == 'STL10': _hparam('epsilon_tx', 10) _hparam('epsilon_ty', 10) else: _hparam('epsilon_tx', 3) _hparam('epsilon_ty', 3) ###### MH ########### _hparam('mh_dale_scale', 0.5) _hparam('mh_dale_n_steps', 40) _hparam('mh_proposal', 'Laplace') ##### PGD ##### if dataset == 'MNIST': _hparam('pgd_n_steps', 30) _hparam('pgd_step_size', 0.3) elif dataset == 'CIFAR10' or dataset == 'CIFAR100' or dataset == 'STL10': _hparam('pgd_n_steps', 10) _hparam('pgd_step_size', 0.5) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 40) _hparam('l_dale_step_size', 0.5) _hparam('l_dale_noise_coeff', 0.05) _hparam('l_dale_nu', 0.1) elif dataset=='modelnet40': ##### Worst of K ###### if perturbation == "PointcloudTranslation": _hparam('epsilon_tx', 0.25) _hparam('epsilon_ty', 0.2) else: _hparam('epsilon', 0.02) ###### MCMC ########### if perturbation == "PointcloudTranslation": _hparam('mcmc_dale_scale', 0.2) else: _hparam('mcmc_dale_scale', 0.002) _hparam('mcmc_dale_n_steps', 10) _hparam('mcmc_proposal', 'Laplace') ##### PGD ##### _hparam('pgd_n_steps', 20) if perturbation == "PointcloudTranslation": _hparam('pgd_step_size', 0.02) else: _hparam('pgd_step_size', 0.01) # DALE (Laplacian-HMC) _hparam('l_dale_n_steps', 20) if perturbation == "PointcloudTranslation": _hparam('l_dale_step_size', 0.1) else: _hparam('l_dale_step_size', 0.001) _hparam('l_dale_pd_inv_margin', 0.35) if perturbation == "PointcloudTranslation": _hparam('l_dale_noise_coeff', 0.2) else: _hparam('l_dale_noise_coeff', 0.0002) _hparam('l_dale_pd_inv_eta', 0.0002) _hparam('l_dale_nu', 0.1) else: raise NotImplementedError return hparams

41.656542

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0.581356

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3.676911

0.075682

0.117752

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0.032598

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0.040881

0

null

0

1

0

null

0

2

e491555fb0a883454759d0883bddf99b641508f9

314

py

Python

src/cek_if_else.py

nart4hire/TBFO_Tubes

305a4b693de6ce1ff3c0d406d4609686776e22ba

[ "CC0-1.0" ]

null

src/cek_if_else.py

nart4hire/TBFO_Tubes

305a4b693de6ce1ff3c0d406d4609686776e22ba

[ "CC0-1.0" ]

null

src/cek_if_else.py

nart4hire/TBFO_Tubes

305a4b693de6ce1ff3c0d406d4609686776e22ba

[ "CC0-1.0" ]

null

nama = "azmi" umur_5_tahun_lalu = 23 print ("nama saya") print(nama) print("sedangkan umur saat ini adalah") print(umur_5_tahun_lalu + 5) if (nama == "nathan") : print("selamat datang Nathan!") elif (nama == "azmi") : print("selamat datang Azmi!") else : print("Selamat datang pak") print(nama)

19.625

39

0.659236

45

314

4.466667

0.444444

0.134328

0.268657

0.139303

0

0.019608

0.187898

314

15

40

20.933333

0.768627

0

0.153846

0

0.361022

0

1

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false

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0

null

0

1

0

null

0

1

0

2

e4983d49c5a9d2cf42ec303f6334eb6ea6dbc267

245

py

Python

open_analyse/settings/production.py

Jaspreet-singh-1032/open_analyse_backend

a03778898543c0fc985a95e30c8fa836ea418f75

[ "MIT" ]

null

open_analyse/settings/production.py

Jaspreet-singh-1032/open_analyse_backend

a03778898543c0fc985a95e30c8fa836ea418f75

[ "MIT" ]

2

2022-03-19T14:08:20.000Z

2022-03-20T13:08:55.000Z

open_analyse/settings/production.py

Jaspreet-singh-1032/open_analyse_backend

a03778898543c0fc985a95e30c8fa836ea418f75

[ "MIT" ]

null

from .base import * # noqa DEBUG = False ALLOWED_HOSTS = ['127.0.0.1', 'openanalyse.herokuapp.com'] STATICFILES_STORAGE = 'django.contrib.staticfiles.storage.StaticFilesStorage' CORS_ALLOWED_ORIGINS = [ 'https://openanalyse.netlify.app' ]

27.222222

77

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245

6.206897

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0.2

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0.027523

0.110204

245

8

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0

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0

1

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false

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0

1

0

null

0

1

0

null

0

2

e4bf062944f119e8e6959c4fac73cdf925be2caf

737

py

Python

OnlineStudy/generic/handlers/homework.py

NanRenTeam-9/MongoMicroCourse

59053c88faf76de3592b5aa02b1425b126fe2f2d

[ "MIT" ]

132

2019-07-11T01:17:09.000Z

2022-03-28T02:49:21.000Z

OnlineStudy/generic/handlers/homework.py

liuqiao1995/onlinestudy

b8abfc7b4f2466e595be801bd9a19a509e03534e

[ "MIT" ]

10

2019-07-18T06:50:45.000Z

2022-01-29T08:31:31.000Z

OnlineStudy/generic/handlers/homework.py

liuqiao1995/onlinestudy

b8abfc7b4f2466e595be801bd9a19a509e03534e

[ "MIT" ]

49

2019-07-11T00:31:26.000Z

2022-03-05T19:25:35.000Z

from startX.serivce.v1 import StartXHandler, get_m2m_display from django.urls import reverse from django.utils.safestring import mark_safe from .base_promission import PermissionHandler class HomeworkHandler(PermissionHandler, StartXHandler): def display_outline(self, model=None, is_header=None, *args, **kwargs): if is_header: return '作业详情' record_url = reverse('startX:generic_homeworkdetail_list', kwargs={'homework_id': model.pk}) return mark_safe('<a target="_blank" href="%s">作业详情</a>' % record_url) list_display = [get_m2m_display('课程', 'courses'), 'title', get_m2m_display('章节', 'chapter'), 'content', display_outline] search_list = ['courses__contains']

38.789474

107

0.710991

90

737

5.566667

0.6

0.035928

0.077844

0

0.006547

0.170963

737

18

108

40.944444

0.813421

0

0.180461

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0

1

0.076923

false

0

0.307692

0

0.769231

0

null

0

null

0

1

0

1

0

2

e4c4bab73ca415fde49880f8099967125d7ef340

1,713

py

Python

voyager/resources/exoplanet/tce.py

marwynnsomridhivej/voyager

acce4645f60bb735595e63742f8597b6cfebd99b

[ "MIT" ]

1

2020-11-04T03:40:09.000Z

voyager/resources/exoplanet/tce.py

marwynnsomridhivej/voyager

acce4645f60bb735595e63742f8597b6cfebd99b

[ "MIT" ]

null

voyager/resources/exoplanet/tce.py

marwynnsomridhivej/voyager

acce4645f60bb735595e63742f8597b6cfebd99b

[ "MIT" ]

null

from typing import Union _ATTRS = { "kepid": Union[int, None], "tce_plnt_num": Union[int, None], "tce_rogue_flag": Union[int, None], "tce_period": Union[float, None], "tce_period_err": Union[float, None], "tce_time0bk": Union[float, None], "tce_time0bk_err": Union[float, None], "tce_impact": Union[float, None], "tce_impact_err": Union[float, None], "tce_duration": Union[float, None], "tce_duration_err": Union[float, None], "tce_depth": Union[float, None], "tce_depth_err": Union[float, None], "tce_model_snr": Union[float, None], "tce_prad": Union[float, None], "tce_prad_err": Union[float, None], "tce_eqt": Union[float, None], "tce_eqt_err": Union[float, None], "tce_insol": Union[float, None], "tce_insol_err": Union[float, None], "tce_steff": Union[float, None], "tce_steff_err": Union[float, None], "tce_slogg": Union[float, None], "tce_slogg_err": Union[float, None], "tce_sradius": Union[float, None], "tce_sradius_err": Union[float, None], } class ThresholdCrossingEvent(object): __slots__ = [ '_data', ] def __init__(self, data: dict) -> None: self._data = data @property def to_dict(self) -> dict: return self._data @classmethod def from_dict(cls, data: dict) -> "ThresholdCrossingEvent": return cls(data) def _add_func(name: str): @property def fn(self) -> _ATTRS.get(name): return self._data.get(name) setattr(ThresholdCrossingEvent, name, fn) for attr in _ATTRS: _add_func(attr)

28.55

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0.591944

210

1,713

4.542857

0.247619

0.183438

0.337526

0.392034

0.520964

0

0.001587

0.264448

1,713

59

64

29.033898

0.755556

0

0.041667

0

0.189726

0.012843

0

1

0.104167

false

0

0.020833

0.0625

0.229167

0

null

0

1

0

null

0

2

e4cc0da74c591b67e478392b71505adc2a627735

438

py

Python

StartPython/75/metaclass1.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

18

2016-08-15T00:24:44.000Z

2020-11-30T15:11:52.000Z

StartPython/75/metaclass1.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

null

StartPython/75/metaclass1.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

6

2016-09-28T10:47:03.000Z

2020-10-14T10:20:06.000Z

class MyMeta(type): def __new__(mcs, name, bases, namespace, **kwargs): print(f'{mcs}, called __new__') return super().__new__(mcs, name, bases, namespace) @classmethod def __prepare__(mcs, name, bases, **kwargs): print(f'{mcs}, called __prepare__') return {'🐙🐙🐙': 'たこ'} class MyClass(metaclass=MyMeta): pass def test(): print(vars(MyClass)) if __name__ == '__main__': test()

20.857143

59

0.607306

51

438

4.72549

0.509804

0.087137

0.149378

0.124481

0.373444

0

0.230594

438

20

60

21.9

0.706231

0

0.135011

0

1

0.214286

false

0.071429

0

0.5

0.214286

0

null

0

null

0

1

0

1

0

2