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903e7c7c7eb9a7d02da0c1871291e12b6246e93e | 20,260 | py | Python | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | shoptimizer_api/optimizers_builtin/title_word_order_optimizer_test.py | astivi/shoptimizer | e9e415650b2b8fc07e4ae68c741e692b538e4a2c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 Google 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 ... | 40.846774 | 123 | 0.696249 |
903ed7280655c7a88f5f5eb4e9a427e26a17d12e | 4,035 | py | Python | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | 1 | 2019-08-27T04:20:06.000Z | 2019-08-27T04:20:06.000Z | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | contracts/models.py | sivanagarajumolabanti/IPFS | 9ae01ce09c97660ca312aad7d612bbc8eb8146e7 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from django.utils.timezone import now
| 36.351351 | 102 | 0.691698 |
903f6e6ec0a321ed686c231ab9ebc657c40c7407 | 1,500 | py | Python | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | 2 | 2020-11-16T10:50:56.000Z | 2020-11-23T12:31:30.000Z | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | null | null | null | models/DenseNet.py | Apollo1840/DeepECG | 5132b5fc8f6b40c4b2f175cd5e56c4aec128ab3e | [
"MIT"
] | 1 | 2020-08-05T00:23:54.000Z | 2020-08-05T00:23:54.000Z | from keras.models import Sequential
from keras.layers import Dense, Dropout
| 41.666667 | 100 | 0.719333 |
9040b2be08c9dcba639583373b5f0c4c01de3091 | 13,242 | py | Python | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 262 | 2015-01-29T20:10:49.000Z | 2022-03-23T01:59:23.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 5 | 2015-01-21T02:37:35.000Z | 2021-11-23T02:26:00.000Z | openstackclient/tests/unit/volume/v3/fakes.py | mydevice/python-openstackclient | 4891bb38208fdcd1a2ae60e47b056841e14fbdf7 | [
"Apache-2.0"
] | 194 | 2015-01-08T07:39:27.000Z | 2022-03-30T13:51:23.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 33.953846 | 79 | 0.614258 |
9040cb412be761146b6669d9fd4eade5a3ac0512 | 12,287 | py | Python | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | 3 | 2019-01-28T12:21:14.000Z | 2019-02-10T19:58:07.000Z | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | gammapy/cube/tests/test_core.py | grburgess/gammapy | 609e460698caca7223afeef5e71826c7b32728d1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from numpy.testing import assert_allclose
from astropy.coordinates import Angle
from astropy.tests.helper import pytest, assert_quantity_allclose
from ast... | 39.763754 | 90 | 0.657524 |
90429ee16f26834b4fd4e1ca6831ceabda97033d | 298 | py | Python | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 3 | 2019-05-15T09:30:39.000Z | 2020-04-22T16:14:23.000Z | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 85 | 2019-04-24T10:39:35.000Z | 2022-03-21T14:52:12.000Z | api/applications/migrations/0042_merge_20201213_0228.py | django-doctor/lite-api | 1ba278ba22ebcbb977dd7c31dd3701151cd036bf | [
"MIT"
] | 1 | 2021-01-17T11:12:19.000Z | 2021-01-17T11:12:19.000Z | # Generated by Django 2.2.16 on 2020-12-13 02:28
from django.db import migrations
| 21.285714 | 64 | 0.694631 |
90459d8bfe26d007178d66a09649931906768496 | 5,829 | py | Python | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | 2 | 2021-01-16T13:42:14.000Z | 2021-03-03T19:36:47.000Z | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | web_app/ca_modules/make_utils.py | Lockers13/codagio | cfe9325cb3c207f7728db3c287439ce761ffea14 | [
"MIT"
] | null | null | null | ### A module containing various utilities used at various points throughout the processes of submitting and analyzing problems ###
import os
import json
import subprocess
import hashlib
import sys
import random
import string
from .output_processor import process_output
from . import code_templates
def make_file(path,... | 40.2 | 198 | 0.632699 |
904821f621f97dceeec43eb063d81e21fa90c37c | 21,136 | py | Python | wazimap/data/utils.py | AssembleOnline/wazimap | 1b8b68fb231b768047eee1b20ed180e4820a2890 | [
"MIT"
] | 1 | 2019-01-14T15:37:03.000Z | 2019-01-14T15:37:03.000Z | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | wazimap/data/utils.py | Bhanditz/wazimap | fde22a0874020cf0ae013aeec7ab55b7c5a70b27 | [
"MIT"
] | null | null | null | from __future__ import division
from collections import OrderedDict
from sqlalchemy import create_engine, MetaData, func
from sqlalchemy.orm import sessionmaker, class_mapper
from django.conf import settings
from django.db.backends.base.creation import TEST_DATABASE_PREFIX
from django.db import connection
if settin... | 36.758261 | 138 | 0.607116 |
9048acfcee11de068839ac11bcc199658e3bb1fe | 9,913 | py | Python | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 10 | 2020-08-06T22:25:11.000Z | 2022-03-07T13:10:15.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | 2 | 2021-06-08T22:15:24.000Z | 2022-03-12T00:45:59.000Z | ovis/analysis/gradients.py | vlievin/ovis | 71f05a5f5219b2df66a9cdbd5a5339e0e179597b | [
"MIT"
] | null | null | null | from time import time
from typing import *
import torch
from booster import Diagnostic
from torch import Tensor
from tqdm import tqdm
from .utils import cosine, percentile, RunningMean, RunningVariance
from ..estimators import GradientEstimator
from ..models import TemplateModel
def get_grads_from_tensor(model: Tem... | 42.545064 | 125 | 0.611924 |
904a907ab750687eb1de030da0541431f23b5d88 | 1,081 | py | Python | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null | Sem-09-T1-Q5.py | daianasousa/Semana-09 | decfc9b47931ae4f5a4f30a0d26b931ecd548f59 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main() | 30.885714 | 138 | 0.543941 |
5f3a8ec38dd614e2783df50d617c5b8f3ca8b0f8 | 1,428 | py | Python | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | data_split.py | CodeDogandCat/ChineseGrammarErrorDiagnose | 4e1ec745ae938f742c6afb0e88b08ea50c6028cb | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import re
# from pyltp import Segmentor
import jieba.posseg as pseg
import jieba
import os
import sys
import json
import math
# import kenlm
import nltk
from collections import Counter
# dataSplit('TNewsSegafter2.txt', 32)
dataSplit('TNewsSegafter1.txt', 32)
| 28 | 81 | 0.621148 |
5f3bba72b50ee67716dbeda71e53db5b079da28f | 2,435 | py | Python | Code/Python/pract_fund1_sol.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-12-07T17:38:41.000Z | 2021-06-28T06:19:49.000Z | Code/Python/pract_fund1_sol.py | kunal-mulki/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 27 | 2016-05-28T21:32:24.000Z | 2016-12-08T16:47:09.000Z | Code/Python/pract_fund1_sol.py | NYUDataBootcamp/Materials | b76bba123002972e4063b9b24cd5dc3d980e16e9 | [
"MIT"
] | 50 | 2016-10-12T11:04:50.000Z | 2021-06-01T23:24:45.000Z | """
Practice problems, Python fundamentals 1 -- Solutions
@authors: Balint Szoke, Daniel Csaba
@date: 06/02/2017
"""
#-------------------------------------------------------
# 1) Solution
good_string = "Sarah's code"
#or
good_string = """Sarah's code"""
#-------------------------------------------------------
... | 21.936937 | 62 | 0.433265 |
5f3df5f78e78d0ee2fc42ec4cf3a85208b508f67 | 7,178 | py | Python | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | eos/old_scott_ANEOS_conversion.py | ScottHull/FDPS_SPH | 6db11d599d433f889da100e78c17d6f65365ceda | [
"MIT"
] | null | null | null | """
This is a python script that converts u(rho, T), P(rho, T), Cs(rho,T), S(rho, T)
to T(rho, u), P(rho, u), Cs(rho, u), S(rho, u), which is more useful for SPH calculations
"""
import matplotlib.pyplot as plt
from collections import OrderedDict
import numpy as np
import pandas as pd
import csv
import sys
from scipy... | 34.344498 | 146 | 0.636389 |
5f3f44af77a5d9949e7fe7c6858624af3b7fa923 | 346 | py | Python | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | 1 | 2021-05-08T08:21:06.000Z | 2021-05-08T08:21:06.000Z | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | scheduler/post_scheduler/urls.py | Awinja-j/Social-Media-post-Scheduler | 4f95b4bb2ca3f890d3e22bcda859b94ebc483b87 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('post_posts', views.post_posts),
path('fetch_posts', views.get_posts),
path('fetch_post/<pk>', views.get_post),
path('delete_post/<pk>', views.delete_post),
path('edit_post/<pk>', views.edit_post),
path('search_for_a_post', v... | 28.833333 | 54 | 0.699422 |
5f3fad78b868dac1b90ecb78a5594353e0e31396 | 506 | py | Python | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | dato-graphlab/src/config.py | warreee/apache-flink_vs_dato-graphlab | cd01cee208461479d3f27489ab45df439b8b9820 | [
"Apache-2.0"
] | null | null | null | import os
| 16.322581 | 63 | 0.666008 |
5f42caff296a8e9070523febb1d633e533ecbfff | 950 | py | Python | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | 5 | 2019-06-12T09:29:06.000Z | 2020-12-31T08:53:19.000Z | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | null | null | null | tools.py | chougousui/keyboard_layout_for_mobile | 3bb59169f10ac56fb82cb62be07f821f1ecac22e | [
"MIT"
] | null | null | null | import numpy as np
| 29.6875 | 119 | 0.489474 |
5f43a06d91c00b879b94bd9ca11de4d7d8fcab07 | 377 | py | Python | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | 23 | 2020-08-15T15:18:32.000Z | 2022-02-26T13:49:05.000Z | full-stack/backend/django-app/django-jwt-app/settings/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from rest_framework_jwt.views import (
obtain_jwt_token,
refresh_jwt_token,
)
urlpatterns = [
path('admin/', admin.site.urls),
path('token-auth/', obtain_jwt_token),
path('token-refresh/', refresh_jwt_token),
path('employ... | 22.176471 | 70 | 0.710875 |
5f45037068a6ca19658fc2ba430b609e4386fc29 | 15,989 | py | Python | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | models/train_classifier.py | tarcisobraz/disaster-message-clf | 22de03350a0f993005564a1d07a43da6bd989e67 | [
"DOC"
] | null | null | null | #General libs
import sys
import os
import json
from datetime import datetime
import time
#Data wrangling libs
import pandas as pd
import numpy as np
#DB related libs
from sqlalchemy import create_engine
#ML models related libs
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.metrics import confusion_... | 37.888626 | 117 | 0.659704 |
5f468ef647d08df9b7e435bbbbaaf01ef4277cf4 | 148 | py | Python | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 2 | 2020-04-08T15:31:12.000Z | 2020-07-01T11:04:47.000Z | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 9 | 2018-09-12T09:29:43.000Z | 2020-03-15T09:11:25.000Z | src/cortexpy/test/constants.py | karljohanw/cortexpy | 70dcce771136f98edb5250ad8abd2a46bda7f0a6 | [
"Apache-2.0"
] | 1 | 2019-03-29T10:59:13.000Z | 2019-03-29T10:59:13.000Z | import struct
MAX_UINT = 2 ** (struct.calcsize('I') * 8) - 1
MAX_ULONG = 2 ** (struct.calcsize('L') * 8) - 1
UINT8_T = 1
UINT32_T = 4
UINT64_T = 8
| 18.5 | 47 | 0.614865 |
5f47bfe261a0653163329656400b45e38dc2e334 | 2,103 | py | Python | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | tests/functional_tests/authors/test_authors_login.py | Kaique425/recipes | ab188dbe1ca3891160f65a7858613b8750faa721 | [
"MIT"
] | null | null | null | import pytest
from django.contrib.auth.models import User
from django.urls import reverse
from selenium.webdriver.common.by import By
from .base import AuthorBaseFunctionalTest
| 37.553571 | 85 | 0.661912 |
5f4b11817e6c6f5664fb7eebcff8bd3df9ed5773 | 42 | py | Python | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | varex/__init__.py | weiyi-bitw/varex | 765e8876c0ced480a47c0e523736bd31b7897644 | [
"MIT"
] | null | null | null | from .commons import VCFEntry, LabeledMat
| 21 | 41 | 0.833333 |
5f4ba7ea00a9b4ae2bec68e16163449e185187d1 | 2,612 | py | Python | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 8 | 2020-03-29T01:44:16.000Z | 2022-03-26T23:15:34.000Z | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 60 | 2020-02-08T22:07:16.000Z | 2022-03-26T23:51:55.000Z | simulation/battery/base_battery.py | BillMakwae/Simulation | 8d0ec274643f23bc0e78c96e50508b60791c11d2 | [
"MIT"
] | 1 | 2021-10-20T20:07:06.000Z | 2021-10-20T20:07:06.000Z | from simulation.common import Storage
from simulation.common import BatteryEmptyError
| 39.575758 | 116 | 0.61562 |
5f501af017d1618fd9d8ac7f58bef0af07c22038 | 2,757 | py | Python | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | MLP/Detectar cancer de mama/Cancer_mama_simples.py | alex7alves/Deep-Learning | 7843629d5367f3ea8b15915a7ba3667cf7a65587 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 17 21:04:48 2018
@author: Alex Alves
Programa para determinar se um tumor de mama
benigno (saida 0) ou maligno (saida 1)
"""
import pandas as pa
# Importao para poder dividir os dados entre treinamento da rede e testes de validao
from sklearn.... | 33.216867 | 114 | 0.791077 |
5f50dd9219cff3c1253c4849dd5381638d312cc3 | 1,214 | py | Python | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0736_paths_to_equality.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | # Solution of;
# Project Euler Problem 736: Paths to Equality
# https://projecteuler.net/problem=736
#
# Define two functions on lattice points:$r(x,y) = (x+1,2y)$$s(x,y) =
# (2x,y+1)$A path to equality of length $n$ for a pair $(a,b)$ is a sequence
# $\Big((a_1,b_1),(a_2,b_2),\ldots,(a_n,b_n)\Big)$, where:$(a_1,b_1... | 40.466667 | 213 | 0.651565 |
5f548523f9dcf1f62a0e2fe0f345f22d699939d1 | 1,728 | py | Python | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 506 | 2018-08-22T10:30:38.000Z | 2022-03-31T10:01:49.000Z | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 13 | 2019-08-07T18:31:18.000Z | 2020-12-15T21:54:41.000Z | codejam/2020-qualification/d.py | Ashindustry007/competitive-programming | 2eabd3975c029d235abb7854569593d334acae2f | [
"WTFPL"
] | 234 | 2018-08-06T17:11:41.000Z | 2022-03-26T10:56:42.000Z | #!/usr/bin/env python3
# https://codingcompetitions.withgoogle.com/codejam/round/000000000019fd27/0000000000209a9e
t, b = map(int, input().split())
for _ in range(t):
xs = [None] * b
q, k, k1, k2 = 0, 0, None, None
while True:
if q > 0 and q % 10 == 0:
if k1 is not None and k2 is not No... | 27 | 91 | 0.358218 |
5f587bf36e711ee18aa81e26269a6338ac9328eb | 1,388 | py | Python | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 866 | 2017-06-10T19:25:28.000Z | 2022-01-06T18:29:36.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 54 | 2017-06-11T06:41:19.000Z | 2022-01-10T23:06:03.000Z | Stephanie/updater.py | JeremyARussell/stephanie-va | acc894fa69b4e5559308067d525f71f951ecc258 | [
"MIT"
] | 167 | 2017-06-10T19:32:54.000Z | 2022-01-03T07:01:39.000Z | import requests
from Stephanie.configurer import config
| 34.7 | 142 | 0.730548 |
5f591fe59a581e7f936f818cedb0f094b131b698 | 24,533 | py | Python | WORC/featureprocessing/ComBat.py | MStarmans91/WORC | b6b8fc2ccb7d443a69b5ca20b1d6efb65b3f0fc7 | [
"ECL-2.0",
"Apache-2.0"
] | 47 | 2018-01-28T14:08:15.000Z | 2022-03-24T16:10:07.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2018-08-28T13:32:57.000Z | 2020-10-26T16:35:59.000Z | WORC/featureprocessing/ComBat.py | JZK00/WORC | 14e8099835eccb35d49b52b97c0be64ecca3809c | [
"ECL-2.0",
"Apache-2.0"
] | 16 | 2017-11-13T10:53:36.000Z | 2022-03-18T17:02:04.000Z | #!/usr/bin/env python
# Copyright 2020 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# 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... | 40.684909 | 161 | 0.604329 |
5f59e320e469d3924b3247fe49f94eea11acee62 | 727 | py | Python | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | 1 | 2020-06-03T21:21:03.000Z | 2020-06-03T21:21:03.000Z | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | setup.py | mariocesar/pg-worker | d79c6daa8825226c754330c21150e4e416b09005 | [
"MIT"
] | null | null | null | import os
import sys
from setuptools import setup, find_packages
ROOT = os.path.realpath(os.path.join(os.path.dirname(
sys.modules['__main__'].__file__)))
sys.path.insert(0, os.path.join(ROOT, 'src'))
setup(
name='pgworker',
packages=find_packages('src'),
package_dir={'': 'src'},
classifiers=[
... | 24.233333 | 53 | 0.603851 |
5f5a0eafce7a5f076591e84cd9440a10e1d4e795 | 2,040 | py | Python | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | PyBank/main.py | gentikosumi/python-challenge | e6532bf1033f5272616d4f8a1cf623bbafe1a1c2 | [
"ADSL"
] | null | null | null | import os
import csv
path = '/Users/kevinkosumi12345/Genti/python-challenge/PyBank/Resources/budget_data.csv'
budget_csv=os.path.join("../Resources", "budget_data.csv")
csvfile = open(path, newline="")
reader=csv.reader(csvfile, delimiter=",")
header = next(reader)
# print(header)
# the columns we have to convert ... | 30.909091 | 129 | 0.702451 |
5f5b2c35892025ff370debbb01a9bff69a798ad0 | 1,516 | py | Python | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | models/python/hypothalamus/dynamical/old/simple.py | ABRG-Models/MammalBot | 0b153232b94197c7a65156c1c3451ab2b9f725ae | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
T = 30000
# v = 0.02906
# v = 0.617085
v = 0.99
h = 0.01
a = 0.5
b = 0.5
epsilon = 0.05
c = 0.4
eta = lambda rho: np.exp(-(rho)**2/(2*c**2))
nrho = lambda rho, v: -2.0*(rho**3 + (rho-1.0)*v/2.0 - rho)/(rho + 1.0)
nu = lambda rho: (b - eta(rho+1))/a
u = np.zeros(T)
... | 28.603774 | 85 | 0.529024 |
5f5c0b0acb48624cb76c04ec88d096e81b40a0f1 | 176 | py | Python | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | test_script.py | SamPurle/DE17_Flask | a6462b85854f7bd72c80ebcc555d50488ef17e67 | [
"MIT"
] | null | null | null | import numpy as np
import os
my_array = np.zeros(10)
print(my_array)
os.system('pip freeze > requirements.txt')
my_list = [1,2,3,4,5]
for item in my_list:
print(item)
| 12.571429 | 42 | 0.693182 |
5f5ebabcae4886b932638d5f3ecd10d1eb595d7b | 6,058 | py | Python | lib/blastin.py | zbwrnz/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | 1 | 2018-03-22T10:34:20.000Z | 2018-03-22T10:34:20.000Z | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | lib/blastin.py | arendsee/blastdbm | ee694c01ebb00779623702738a9c958fd496a080 | [
"Unlicense"
] | null | null | null | #! /usr/bin/python3
import argparse
import os
import re
import sqlite3 as sql
import sys
import xml.etree.cElementTree as et
import traceback
import lib.initialize as initialize
import lib.sqlite_interface as misc
import lib.meta as meta
# ==================
# EXPORTED FUNCTIONS
# ==================
| 31.552083 | 83 | 0.530538 |
5f63c4934790515bb6fc74d4d7ecc9a70d977a36 | 646 | py | Python | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | 1 | 2021-06-25T21:20:42.000Z | 2021-06-25T21:20:42.000Z | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | null | null | null | tests/test_get_image.py | kortizceballos/codeastro-group6 | 9f0ceb8a0fca3e619dbabe97105a3f283e59fa04 | [
"BSD-3-Clause"
] | null | null | null | from matplotlib.pyplot import get
import pyhips
from pyhips import get_image
def test_get_image():
"""
Tests the get_image() function to make sure no errors are thrown.
"""
assert get_image("Vega", frame="ICRS", survey="DSS", cmap="plasma") == 0
assert get_image("notanid", frame="ICRS", survey="D... | 35.888889 | 83 | 0.662539 |
5f65055d81665e397feccfc78dd6d2f299634b64 | 138 | py | Python | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | 1 | 2016-02-12T11:54:07.000Z | 2016-02-12T11:54:07.000Z | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | null | null | null | cumulus2/template.py | peterkh/cumulus2 | 11352ce469acb0c319ba9cfb8691d80f4ae5048e | [
"Apache-2.0"
] | null | null | null | """
Template module for cumulus.
template class for reading yaml tempalte and creating data_source objects to
retrieve external data.
"""
| 23 | 76 | 0.797101 |
5f67096a7114362044846dbb3a2978d1562f88ac | 700 | py | Python | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | Python-AI-Algorithms/Bubble_sort.py | screadore/Artificial-Intelligence-Sorting-Algorithms | d69f34dbd02556c6a7bbb8e0dee45ab7fdb4b12c | [
"MIT"
] | null | null | null | # Bubble sort steps through the list and compares adjacent pairs of elements. The elements are swapped if they are in the wrong order. The pass through the unsorted portion of the list is repeated until the list is sorted. Because Bubble sort repeatedly passes through the unsorted part of the list, it has a worst case... | 36.842105 | 342 | 0.591429 |
5f670af72f12c73cbff679c29371d4269f74b778 | 551 | py | Python | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2019-02-22T10:34:26.000Z | 2021-07-13T01:51:48.000Z | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | null | null | null | Practice/Python/Strings/the_minion_game.py | nifannn/HackerRank | b05318251226704b1fb949c29aa49493d6ced44b | [
"MIT"
] | 7 | 2018-11-09T13:52:34.000Z | 2021-03-18T20:36:22.000Z |
if __name__ == '__main__':
minion_game(input("Enter a string: "))
| 30.611111 | 65 | 0.604356 |
5f6e27388481683369aca2bd805d2c503d7286e8 | 189 | py | Python | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | deep_learning_zero/ch5/sample.py | kaito0223/shakyou | 8d901b4da24fbf0c708e3eb429a57d194e9857c1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
X = np.random.rand(2) #input
W = np.random.rand(2,3) #weight
B = np.random.rand(3) #bias
print(X)
print(W)
print(B)
Y=np.dot(X,W)+B
print(Y)
| 11.8125 | 31 | 0.613757 |
5f71554b9254c1a62eba83f18f61c6f664cfe709 | 2,485 | py | Python | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | bdd/contact_stepts.py | LukinVV/python_training | 9e6eb57fe9527fd591d563b4219c19e49188c4de | [
"Apache-2.0"
] | null | null | null | from pytest_bdd import given, when, then
from model.contact import Contact
import random | 42.118644 | 101 | 0.781087 |
5f72286dd657c066d24e11dfe7993aa6f68aabbc | 769 | py | Python | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | null | null | null | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | null | null | null | FigureMaker.py | space-physics/histfeas | caa0100087d8c2b8711c1c3cb60c322379ef5431 | [
"MIT"
] | 1 | 2015-05-22T23:51:58.000Z | 2015-05-22T23:51:58.000Z | #!/usr/bin/env python
"""
Figures generated by HiST program
intended for use with in/ files including:
*_flame.ini
*_impulse.ini
*_trans.ini
Flaming Aurora 2 cameras:
./FigureMaker.py in/2cam_flame.ini
Translating Aurora 2 cameras:
./FigureMaker.py in/2cam_trans.ini
Impulse Aurora (for testing):
./FigureMaker.py in... | 20.783784 | 55 | 0.758127 |
5f72433b75556b159f57faa7593653f49eb2cb21 | 3,557 | py | Python | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | T53/webapp/accounts/models.py | DevelopAppWithMe/Hackathon_5.0 | 6af503a995721c04986931d6a29d8f946ceaa067 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
from django.contrib.auth.models import (
AbstractBaseUser,
BaseUserManager,
PermissionsMixin,
)
from django.core.validators import RegexValidator
from django.db import models
| 32.336364 | 104 | 0.687939 |
5f72dad431a7abe4ecae9aa703b14fc2183ff13a | 2,998 | py | Python | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | 1 | 2020-02-16T00:42:17.000Z | 2020-02-16T00:42:17.000Z | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | null | null | null | pyv6m/ha/v6m.py | dubnom/pyv6m | d56bf3f3d39b7c2f747b08bc1974dc3dbe6ccff8 | [
"MIT"
] | null | null | null | """Component to control v6m relays and sensors.
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/v6m/
"""
import logging
import voluptuous as vol
from homeassistant.const import (
EVENT_HOMEASSISTANT_STOP, CONF_HOST, CONF_PORT, CONF_NAME)
import homea... | 28.552381 | 75 | 0.615744 |
5f7622df0a14efca2dcdfe048326621ae11f4cbc | 550 | py | Python | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T15:00:54.000Z | 2021-12-08T16:07:35.000Z | blog/models.py | BirnadinErick/HappyProject | 4993a2d966d9c1458ce0e29e72c3a758a7a4ef54 | [
"Apache-2.0"
] | 3 | 2021-12-15T00:49:01.000Z | 2021-12-16T00:46:14.000Z | blog/models.py | Happy-Project-Foundation/HappyProject | 86e9fa7633e68c026e0003f8494df0226fa0dfcf | [
"Apache-2.0"
] | 3 | 2021-12-04T14:18:15.000Z | 2021-12-05T08:40:13.000Z | import uuid
from django.db import models
from django.db.models.fields import TextField
| 32.352941 | 109 | 0.736364 |
5f79434b07d0fd0852489b19f8f438fa54ae857d | 7,273 | py | Python | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 2 | 2021-09-26T07:03:54.000Z | 2022-02-21T15:46:30.000Z | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | null | null | null | finetune_test.py | tengfeixue-victor/One-Shot-Animal-Video-Segmentation | 15f9011c1b10f1e0c068f90ed46e72b3bc343310 | [
"MIT"
] | 1 | 2021-04-16T06:11:41.000Z | 2021-04-16T06:11:41.000Z | """
References: https://github.com/scaelles/OSVOS-TensorFlow
"""
from __future__ import print_function
import os
import random
import tensorflow as tf
import time
import numpy as np
from utils import models
from utils.load_data_finetune import Dataset
from utils.logger import create_logger
# seed
seed = random.randin... | 41.56 | 126 | 0.639214 |
5f79476b04b3854cb2181098acbee05c751aa836 | 307 | py | Python | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 2 | 2021-11-13T12:23:41.000Z | 2021-12-24T14:09:49.000Z | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 1 | 2022-03-29T19:13:24.000Z | 2022-03-30T18:57:23.000Z | kinopoisk_unofficial/response/films/seasons_response.py | masterWeber/kinopoisk-api-unofficial-client | 5c95e1ec6e43bd302399b63a1525ee7e61724155 | [
"MIT"
] | 1 | 2021-11-13T12:30:01.000Z | 2021-11-13T12:30:01.000Z | from dataclasses import field, dataclass
from typing import List
from kinopoisk_unofficial.contract.response import Response
from kinopoisk_unofficial.model.season import Season
| 25.583333 | 59 | 0.814332 |
5f7a417145bc1e9d7aeea4542c8fef811419cb42 | 4,906 | py | Python | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | codepod/impl.py | alexmorley/codepod | d932391beda9c4df7f048326afe7d0ea73ccb141 | [
"Apache-2.0"
] | null | null | null | import subprocess
import os
import shutil
import tempfile
import random
import string
import yaml
src_dir=os.path.dirname(os.path.realpath(__file__))
#def _write_text_file(fname,txt):
# with open(fname,'w') as f:
# f.write(txt)
| 35.294964 | 155 | 0.664492 |
5f7b66cd930462b5d1756ba227c23eb8265b8002 | 5,040 | py | Python | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 388 | 2018-09-13T20:48:58.000Z | 2020-11-23T11:52:13.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 597 | 2018-10-08T12:45:29.000Z | 2020-11-24T17:53:12.000Z | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 228 | 2018-11-06T02:04:14.000Z | 2020-12-09T07:51:02.000Z | #! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
# Copyright 2021 The MLPerf Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of... | 32.101911 | 91 | 0.698611 |
5f7d2edfb9acb222096440265492c363f375f8a6 | 3,047 | py | Python | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 13 | 2019-03-22T13:30:04.000Z | 2022-02-01T04:46:44.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 3 | 2020-07-01T11:17:40.000Z | 2022-02-13T11:20:34.000Z | fdtool/modules/GetFDs.py | dancps/FDTool | 0958f79fccbb3bb7d55cf9031ee4bd411e9c9b5a | [
"CC0-1.0"
] | 11 | 2018-07-02T23:46:31.000Z | 2021-12-14T12:29:38.000Z | import binaryRepr
# Create decorator function to see how many times functions are called
# Calculate Partition (C_k, r(U)) - the partitions
# of each candidate at level k are calculated
# Takes in data frame of relation and a candidate in C_km1
# Outputs partition of Candidate in C_k... | 43.528571 | 187 | 0.637348 |
5f7e6f4612c23637da085f15ec80d97da8c65063 | 1,712 | py | Python | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | 1 | 2021-01-16T15:42:01.000Z | 2021-01-16T15:42:01.000Z | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | experiments/benchmarks/activity_benchmark.py | Oidlichtnwoada/LongTermDependenciesLearning | f2913e86183588107f16402b402524a57b6ea057 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import experiments.benchmarks.benchmark as benchmark
ActivityBenchmark()
| 45.052632 | 139 | 0.624416 |
5f8081343c9866235ed311ae6467c672bfbe7609 | 4,685 | py | Python | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | apps/menuplans/views.py | jajadinimueter/recipe | f3f0a4054a14637bf4e49728876fe7b0a029a21f | [
"MIT"
] | null | null | null | import xml.etree.ElementTree as et
from dateutil import parser
from django.shortcuts import render
from django.shortcuts import redirect
from django.core.urlresolvers import reverse
import untangle
from .forms import MenuplanSearchForm
from .forms import MenuplanCreateForm
from .tables import MenuplanTable
from .... | 30.225806 | 81 | 0.547492 |
5f809ea0bdda1d52d937bea676c3f2375a0406e8 | 6,448 | py | Python | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2022-03-14T16:50:41.000Z | 2022-03-14T16:50:41.000Z | data-detective-airflow/data_detective_airflow/operators/sinks/pg_scd1_df_update_insert.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | from contextlib import closing
from io import StringIO
import numpy
import pandas
from airflow.providers.postgres.hooks.postgres import PostgresHook
from psycopg2.extensions import connection as psycopg2_connection
from data_detective_airflow.dag_generator.works import WorkType
from data_detective_airflow.operators.s... | 39.317073 | 109 | 0.640199 |
5f83b8fcb8f9923c7beb83eb883b788a12549bf3 | 32,588 | py | Python | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 3 | 2020-03-25T22:19:17.000Z | 2020-11-02T16:11:32.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 44 | 2020-03-25T14:17:54.000Z | 2022-03-12T00:18:48.000Z | plangym/core.py | FragileTech/plangym | 9a1482bea099f12f82bae27f1c5d13393daa8032 | [
"MIT"
] | 2 | 2020-03-25T12:17:12.000Z | 2020-06-19T23:07:52.000Z | """Plangym API implementation."""
from abc import ABC
from typing import Any, Callable, Dict, Generator, Iterable, Optional, Tuple, Union
import gym
from gym.envs.registration import registry as gym_registry
from gym.spaces import Space
import numpy
import numpy as np
wrap_callable = Union[Callable[[], gym.Wrapper],... | 36.574635 | 99 | 0.613232 |
5f890b9328d6983928b109fecc583fe7148f59dc | 6,426 | py | Python | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | L2.py | coka28/AlignmentCluster | 11a4e5fc578258bd3a2181a13bdaa60346eca8da | [
"MIT"
] | null | null | null | # Layer 2 server script
# project worker
'''-.
+#_p'-.....
*+...:(loop):..............................................
m}: \
>!: 1. register clients \
&w^: 2. distribute WLs and add them to pending \
j/... | 36.931034 | 124 | 0.495331 |
5f8a8dc4b802b22d26a8494296192bb50d7f2d9a | 2,677 | py | Python | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | test/factory/schedule_factory.py | choonho/statistics | 31fbae2d0772a2e8b717ac12c8de9edd9d8f1734 | [
"Apache-2.0"
] | null | null | null | import factory
from spaceone.core import utils
from spaceone.statistics.model.schedule_model import Schedule, Scheduled, JoinQuery, Formula, QueryOption
| 26.245098 | 105 | 0.548001 |
5f9164c1cc7e9494a573895e93fd39680b8520f6 | 1,324 | py | Python | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir_app/app/models/iteration.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | 1 | 2022-01-18T09:28:29.000Z | 2022-01-18T09:28:29.000Z | ymir/backend/src/ymir_app/app/models/iteration.py | Aryalfrat/ymir | d4617ed00ef67a77ab4e1944763f608bface4be6 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from sqlalchemy import Boolean, Column, DateTime, Integer, SmallInteger, String
from app.config import settings
from app.db.base_class import Base
from app.models.task import Task # noqa
| 36.777778 | 79 | 0.749245 |
5f92da5358e075a34f655feb29ca353ec1f92807 | 2,833 | py | Python | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 2 | 2016-08-10T15:08:47.000Z | 2016-10-25T14:27:51.000Z | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 41 | 2016-08-04T20:19:49.000Z | 2017-03-07T20:05:53.000Z | src/jenova/components/common.py | inova-tecnologias/jenova | c975f0894b8663c6a9c9fdc7fa33590a219a6ad3 | [
"Apache-2.0"
] | 3 | 2016-09-26T19:04:51.000Z | 2017-10-26T22:13:45.000Z | import uuid, hashlib, os, yaml, logging.config, json, requests, re
from bcrypt import hashpw, gensalt
from collections import namedtuple
from sqlalchemy import create_engine
from datetime import datetime
CONFIG_FILE = os.environ.get('CONFIG_PATH_FILE')
ZimbraGrant = namedtuple(
'ZimbraGrant', [
'target_name', ... | 26.726415 | 85 | 0.693611 |
5f9463815346a08c07f5a3a2ec02e760f4e9de1f | 3,569 | py | Python | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | 25 | 2021-10-03T06:19:05.000Z | 2022-03-27T12:48:57.000Z | hbutils/binary/base.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | import struct
from typing import BinaryIO
def write(self, file: BinaryIO, val):
raise NotImplementedError # pragma: no cover
class CMarkedType(CFixedType):
"""
Overview:
Type with struct mark, which can be directly read by ``struct`` module.
"""
def __init__(self, mark: str, ... | 24.445205 | 87 | 0.55842 |
5f94b482c019a016c621810412b2112d18748236 | 958 | py | Python | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | 1 | 2015-03-25T22:35:52.000Z | 2015-03-25T22:35:52.000Z | Rosalind/iprb.py | yuriyshapovalov/Prototypes | 1fc4af4434440a8f59a4bcb486e79fd53d199a7d | [
"Apache-2.0"
] | null | null | null | # Mendel's First Law
# http://rosalind.info/problems/iprb/
import sys
import unittest
if __name__ == '__main__':
hom_dom = int(sys.argv[1])
het = int(sys.argv[2])
hom_rec = int(sys.argv[3])
if hom_dom == 0 or het == 0 or hom_rec == 0:
raise Exception("ERROR: Incorrect parameters")
result = iprb().main(hom_dom, ... | 23.365854 | 51 | 0.654489 |
5f96125b242a38cf3339aa9cccbeb3af52c0c4f9 | 3,679 | py | Python | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | boltzmann.py | jkotrc/2D-Elastic-Gas | ee7632518adb03076a684dae48f0fb6f8c44efa3 | [
"Unlicense"
] | null | null | null | #MAIN method and graphics
try:
from OpenGL.GL import *
from OpenGL import GLU
import OpenGL.GL.shaders
except:
print("OpenGL wrapper for python not found")
import glfw
import numpy as np
from computation import Computation
if __name__ == "__main__":
#A good configuration: 80x80 balls, s... | 44.325301 | 141 | 0.651264 |
5f972ab5ab25213d75c3f56834078dbd2a9d9668 | 706 | py | Python | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | 3 | 2020-12-09T11:36:31.000Z | 2020-12-11T01:41:52.000Z | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | null | null | null | python/src/day06.py | azuline/aoc2020 | 849b48adf3a67ac0eeb485818e38a4b3a72fc03a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from itertools import chain
from pathlib import Path
from typing import List
INPUT_FILE = Path.cwd().parent / "inputs" / "day06.txt"
AnswerGroup = List[str]
if __name__ == "__main__":
with INPUT_FILE.open("r") as f:
input = transform_input(f.read())
print(f"Part 1: {part1(... | 23.533333 | 75 | 0.660057 |
5f979d09341797e001c31791e45f05729f30d0c6 | 933 | py | Python | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | symopt/objective.py | spcornelius/symopt | 6f276ca07cc266af1cd58758a0cf413ab85f2591 | [
"MIT"
] | null | null | null | from symopt.base import SymOptExpr
import sympy as sym
| 27.441176 | 72 | 0.608789 |
5f97f0b8c3e75f1f6f491e876381487088f22f49 | 771 | py | Python | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | 4 | 2017-01-25T05:25:52.000Z | 2021-02-18T08:48:51.000Z | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | null | null | null | batch_run.py | hrishioa/Oyente | 76c8943426727c93ab161a4e196dc6abdf636fe2 | [
"MIT"
] | 1 | 2018-08-09T20:57:31.000Z | 2018-08-09T20:57:31.000Z | import json
import glob
from tqdm import tqdm
import os
contract_dir = 'contract_data'
cfiles = glob.glob(contract_dir+'/contract*.json')
cjson = {}
print "Loading contracts..."
for cfile in tqdm(cfiles):
cjson.update(json.loads(open(cfile).read()))
results = {}
missed = []
print "Running analysis..."
for c in... | 19.769231 | 54 | 0.66537 |
5f981f7b480688c0f261ed48cbccc55b236c176c | 2,266 | py | Python | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 1 | 2020-07-01T14:40:10.000Z | 2020-07-01T14:40:10.000Z | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 9 | 2020-02-07T11:58:51.000Z | 2021-09-07T16:23:38.000Z | tests/test_statistics.py | BENR0/textory | 0f81b8b6726298b9181be27da7aaac2dd25bd763 | [
"MIT"
] | 1 | 2019-11-20T05:53:13.000Z | 2019-11-20T05:53:13.000Z | #! /usr/bin/python
# -*- coding: utf-8 -*-
import pytest
import numpy as np
from textory.util import neighbour_diff_squared, num_neighbours, neighbour_count, create_kernel
from textory.statistics import variogram, pseudo_cross_variogram
def test_variogram(init_np_arrays):
"""THIS TEST ONLY COVERS THE VERSION WIT... | 27.634146 | 101 | 0.566637 |
5f9861c2730925ff3619b6059676dc2a261cbae6 | 827 | py | Python | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 9 | 2020-08-12T10:01:00.000Z | 2022-01-05T04:37:48.000Z | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 1 | 2021-02-16T10:19:31.000Z | 2021-02-16T10:19:31.000Z | question_bank/lemonade-change/lemonade-change.py | yatengLG/leetcode-python | 5d48aecb578c86d69835368fad3d9cc21961c226 | [
"Apache-2.0"
] | 4 | 2020-08-12T10:13:31.000Z | 2021-11-05T01:26:58.000Z | # -*- coding: utf-8 -*-
# @Author : LG
"""
152 ms, Python3 96.83%
14 MB, Python3 12.45%
""" | 27.566667 | 59 | 0.41717 |
5f98d7e1817b744273f69d626fee4ccb8dd5c371 | 319 | py | Python | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | 1 | 2021-06-25T15:29:11.000Z | 2021-06-25T15:29:11.000Z | pythonProject/MUNDO 2/Desafio 57.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | #Leia o sexo de uma pessoa, s aceite as letras M ou F; Caso contrario, pea a digitao novamente
sexo= str(input('Digite seu sexo [M/F]: ')).strip().upper()[0]
while sexo not in 'MF':
sexo=str(input('DIGITE O SEXO [M/F]: ')).strip().upper()[0]
print('seu sexo {} e est registrado com sucesso!'.format(sexo)) | 39.875 | 98 | 0.670846 |
5f993e929da96965b346f667b7d028433a1f27c0 | 2,157 | py | Python | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | plugins/uma/plugins/uma_whois/__init__.py | liangzimiao/miyubot | c2788712255e39348c8980c8ace2f6f75fb6621c | [
"Apache-2.0"
] | null | null | null | from nonebot.adapters.onebot.v11.event import MessageEvent
from nonebot.typing import T_State
from nonebot.adapters.onebot.v11 import Bot, Message
from plugins.uma.plugins.uma_whois.data_source import UmaWhois
from plugins.uma import chara
#matcher =on_endswith({'','?',''},priority=5)
matcher =UmaWhois().on_regex(r'^(... | 32.19403 | 94 | 0.623551 |
5f99e058ef025684556e0579c4ec1d81fb084ff1 | 8,288 | py | Python | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 1 | 2020-10-12T18:17:05.000Z | 2020-10-12T18:17:05.000Z | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 3 | 2019-11-19T20:41:50.000Z | 2021-06-10T21:48:44.000Z | analyzer/views.py | jonfang/CMPE295_DataAnalyzer | 6d74f55fa7e38ff8d25aecc388a5ed87c95037ae | [
"MIT"
] | 2 | 2019-10-30T23:18:57.000Z | 2019-11-23T00:23:17.000Z | from django.http import HttpResponse
from pyspark.sql import SparkSession
from django.shortcuts import render
from datetime import datetime
from core.chartfactory import createBarChart, createPieChart
from core.dataprocessor import DataProcessor
def sample(request):
"""
sample python report
"""
keys =... | 35.418803 | 131 | 0.595077 |
5f9a0e11f9d9a926bf4cc162d77896b7f50869b6 | 4,668 | py | Python | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | 4 | 2020-07-24T19:31:51.000Z | 2022-03-12T00:41:28.000Z | utils/augment_data.py | caiobarrosv/object-detection-for-grasping | 2ac2f58700dff73032836ce33d3b98ebf3f29257 | [
"BSD-3-Clause"
] | null | null | null | from mxnet import nd
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..')))
import utils.common as dataset_commons
import cv2
import numpy as np
import glob
import pandas as pd
from gluoncv.data.transforms.presets.ssd import SSDDefaultTrainTransform
from matplotlib import... | 33.826087 | 130 | 0.633248 |
5f9a91b6b4cb83726c16979ae7cd27a95c8fd08d | 12,235 | py | Python | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | 1 | 2018-03-15T16:56:23.000Z | 2018-03-15T16:56:23.000Z | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | null | null | null | ultracart/models/apply_library_item_response.py | UltraCart/rest_api_v2_sdk_python | d734ea13fabc7a57872ff68bac06861edb8fd882 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
UltraCart Rest API V2
UltraCart REST API Version 2 # noqa: E501
OpenAPI spec version: 2.0.0
Contact: support@ultracart.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
def to_str(self):
... | 31.211735 | 213 | 0.621087 |
5f9b09cbcd120955bb173c4d9f5b1fd61f32f6e1 | 103 | py | Python | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 65 | 2017-03-21T09:15:40.000Z | 2022-02-01T23:43:08.000Z | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 100 | 2016-12-15T03:44:06.000Z | 2022-03-07T08:14:07.000Z | notebooks/python_recap/_solutions/python_rehearsal6.py | jonasvdd/DS-python-data-analysis | 835226f562ee0b0631d70e48a17c4526ff58a538 | [
"BSD-3-Clause"
] | 52 | 2016-12-19T07:48:52.000Z | 2022-02-19T17:53:48.000Z | np_pressures_hPa * math.exp(-gravit_acc * molar_mass_earth* height/(gas_constant*standard_temperature)) | 103 | 103 | 0.84466 |
5f9b8fe1beadc23d6a4c015ccb7948ee8af7a618 | 322 | py | Python | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | test/test_coverage.py | atupilojon/-resources--pytest | eae62b54828bb82dc534b37d9b46b83cb6d31c03 | [
"MIT"
] | null | null | null | from pytest import mark
# if setup.py present, code could be installed as library
# so that there's no need include path
# pip install -e .
from pytest_resources import do_lower_case
# from src.for_testing import do_lower_case
| 24.769231 | 57 | 0.773292 |
5f9c3b49af1837552a765743d83f19677ef7b0fe | 3,476 | py | Python | targets/simple_router/flow_radar_bm/change_bm.py | tsihang-zz/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 15 | 2018-08-21T10:49:38.000Z | 2021-06-23T14:33:32.000Z | targets/simple_router/flow_radar_bm/change_bm.py | harvard-cns/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 1 | 2017-10-16T07:49:06.000Z | 2017-10-16T13:45:36.000Z | targets/simple_router/flow_radar_bm/change_bm.py | USC-NSL/FlowRadar-P4 | 1b4f92b83257ba8f34475c098bce8b84daa35b7c | [
"Apache-2.0"
] | 6 | 2016-07-26T15:47:46.000Z | 2018-03-23T01:50:06.000Z | import re
import os
# copy required files
# change actions.c to add flow_radar lock
# change p4_pd_rpc_server.ipp
if __name__ == "__main__":
copy_files()
change_actions_c()
change_p4_pd_rpc_server_ipp()
change_p4_pd_rpc_thrift()
| 31.035714 | 148 | 0.649597 |
5f9c54619428b0b6d3296e3c0080e9ec17335d9c | 2,807 | py | Python | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | elecalc.py | shka86/py_calc | 780167bc10e2a74741ac9620dbc859c0d310e299 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# calculation tool for a bridge circuit with two input current sources
# two current sources can supply from both of top of the bridge and middle of the bridge
# define the voltage name as follows:
# Vp: voltage at the top of the bridge
# Vn: voltage at the middle of the brid... | 25.990741 | 88 | 0.540791 |
5f9c577bd20e78c6c12bbdda22baa4f5a81a595e | 618 | py | Python | Python/Armstrong_Number.py | shashwat-agarwal/hacktoberfest-2 | 552a4278ffd671603f8659562427b0f1ac5127a4 | [
"Apache-2.0"
] | 17 | 2020-10-02T03:28:33.000Z | 2020-10-24T04:08:30.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 22 | 2020-10-01T20:00:56.000Z | 2020-10-31T01:56:10.000Z | Python/Armstrong_Number.py | shubhamgoel90/hacktoberfest | e7b1aa18485c4a080b2568910f82e98a5feb6f37 | [
"Apache-2.0"
] | 139 | 2020-10-01T19:51:40.000Z | 2020-11-02T19:58:19.000Z | #Program to check whether the number is an armstrong number or not
#Ask user to enter the number
number=int(input("Enter the number you want to check armstrong: "))
#To calculate the length of number entered.
order=len(str(number))
#Initialise sum to 0
sum=0
temp=number
while temp>0:
num=temp%10
sum+=num**o... | 21.310345 | 68 | 0.723301 |
5f9c87648a4e17596d684c15485c9c92d81abb57 | 304 | py | Python | pyexlatex/models/format/hline.py | whoopnip/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | 4 | 2020-06-08T07:17:12.000Z | 2021-11-04T21:39:52.000Z | pyexlatex/models/format/hline.py | nickderobertis/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | 24 | 2020-02-17T17:20:44.000Z | 2021-12-20T00:10:19.000Z | pyexlatex/models/format/hline.py | nickderobertis/py-ex-latex | 66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6 | [
"MIT"
] | null | null | null | from pyexlatex.models.sizes.textwidth import TextWidth
from pyexlatex.models.format.rule import Rule
| 25.333333 | 65 | 0.710526 |
5f9d943e1c5e5e036c07d0eb1ed8c96b9fd06019 | 4,038 | py | Python | sixx/plugins/images.py | TildeBeta/6X | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 2 | 2018-03-06T20:39:49.000Z | 2018-03-17T04:28:57.000Z | sixx/plugins/images.py | TildeBeta/TwitterImages | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 2 | 2018-03-06T20:39:46.000Z | 2018-03-15T17:03:03.000Z | sixx/plugins/images.py | TildeBeta/TwitterImages | 1814eb8f394b7c25b49decdd7d7249567c85f30f | [
"MIT"
] | 1 | 2018-04-25T22:24:40.000Z | 2018-04-25T22:24:40.000Z | from math import sqrt
import asks
import datetime
import numpy as np
import random
from PIL import Image
from PIL.ImageDraw import Draw
from PIL.ImageEnhance import Brightness
from PIL.ImageFont import truetype
from curio import spawn_thread
from curious.commands import Context, Plugin, command
from io import BytesIO
... | 40.38 | 124 | 0.488856 |
5f9df6e37fc71858adef3ee969afe3699916d4a6 | 2,669 | py | Python | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | plugins/DonorlessOperation/__init__.py | j-h-m/Media-Journaling-Tool | 4ab6961e2768dc002c9bbad182f83188631f01bd | [
"BSD-3-Clause"
] | null | null | null | import logging
from maskgen import video_tools
import random
import maskgen.video_tools
import os
import maskgen
import json
plugin = "DonorPicker" | 38.128571 | 124 | 0.557887 |
5f9e0f831db1b36f8edc783c6c1bfaa61c116474 | 1,228 | py | Python | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 31 | 2017-09-13T13:40:59.000Z | 2022-01-25T16:55:19.000Z | track_model/eval_avg_scores.py | zhenyangli/lang-tracker | dddd808a22582573ab0a5e4c3dbf0ba054e42d61 | [
"BSD-3-Clause"
] | 4 | 2017-09-14T01:56:58.000Z | 2021-01-28T00:58:58.000Z | track_model/eval_avg_scores.py | QUVA-Lab/lang-tracker | 6cb3630471765565b6f2d34a160f0cd51d95a082 | [
"BSD-2-Clause-FreeBSD"
] | 9 | 2017-09-28T03:22:08.000Z | 2021-01-19T10:56:44.000Z | import caffe
import numpy as np
import os
import sys
import track_model_train as track_model
import train_config
max_iter = 1000
if __name__ == '__main__':
config = train_config.Config()
eval_avg_scores(config)
| 29.95122 | 90 | 0.643322 |
5f9e1b47610239b65145f24fa61ab7d89533b94e | 1,968 | py | Python | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 1 | 2018-05-31T17:29:30.000Z | 2018-05-31T17:29:30.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-20T16:22:12.000Z | 2019-04-25T23:57:43.000Z | tests/group_test.py | gekkeharry13/api-python | b18d1694c19f5f972a126ee9ff3d3971a08815cb | [
"Apache-2.0"
] | 8 | 2015-02-28T06:56:15.000Z | 2020-01-02T22:42:09.000Z | #
# Copyright (C) 2014 Conjur Inc
#
# 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, distri... | 37.132075 | 82 | 0.757622 |
5f9e9628295536489ee271571858b5c113c24c7c | 99,362 | py | Python | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/generated/protocolbuffers/Social_pb2.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: D:\dev\TS4\_deploy\Client\Releasex64\Python\Generated\protocolbuffers\Social_pb2.py
# Compiled at: 2020-12-13 14:24:09
# Size of sourc... | 31.050625 | 10,693 | 0.763723 |
5f9ec6c74b57542c9787a229e40967ba3e06098c | 56 | py | Python | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | NumpyUtility/__init__.py | PaulKGrimes/NumpyUtility | 35607725d07952deca10d7342043db7e77756278 | [
"MIT"
] | null | null | null | __all__ = ["NumpyUtility"]
from .NumpyUtility import *
| 14 | 27 | 0.732143 |
5f9f9ecefb3439db4ca570e4a61b0846cf1331d6 | 188 | py | Python | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | 1 | 2021-01-10T12:06:26.000Z | 2021-01-10T12:06:26.000Z | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | null | null | null | 09-Data-Analysis/Sweetviz/ReprotViz.py | NguyenQuangBinh803/Python-Heritage | 7da72b2926cefc4903086a1cab7de3a64764d648 | [
"MIT"
] | null | null | null | import sweetviz
import pandas as pd
if __name__ == '__main__':
df = pd.read_csv("BankChurners_clean.csv")
report = sweetviz.analyze(df, "Attrition_Flag")
report.show_html()
| 20.888889 | 51 | 0.707447 |
5fa0436f9f5d626cf4b365a484376d1f5343ee15 | 5,046 | py | Python | FTPShell/FTPShell.py | dsogo/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 17 | 2020-10-07T01:37:32.000Z | 2021-12-11T21:23:25.000Z | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | null | null | null | FTPShell/FTPShell.py | Al0nnso/H4CKING | 58aaaabc25995dbff9aa4985e8308a963772b87e | [
"MIT"
] | 8 | 2020-09-22T03:14:51.000Z | 2022-03-07T16:03:24.000Z | from pyftpdlib.authorizers import DummyAuthorizer
from pyftpdlib.handlers import FTPHandler
from multiprocessing import Process
from pyftpdlib import servers
from time import sleep
from requests import get
import socket
import psutil
import win32api
# Al0nnso - 2019
# FTP Reverse Shell
# NOT TESTED WITH EXTERN NETWOR... | 35.535211 | 92 | 0.441538 |
5fa103b113b3be7f53cb7ec2e64ba88c2cf38693 | 8,321 | py | Python | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 13 | 2020-02-19T02:09:00.000Z | 2021-12-16T23:15:58.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | 33 | 2020-02-12T11:21:51.000Z | 2022-02-10T00:48:17.000Z | tests/test_io.py | wellcometrust/deep_reference_parser | b58e4616f4de9bfe18ab41e90f696f80ab876245 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
import os
import pytest
from deep_reference_parser.io.io import (
read_jsonl,
write_jsonl,
load_tsv,
write_tsv,
_split_list_by_linebreaks,
_unpack,
)
from deep_reference_parser.reference_utils import yield_token_label_pairs
from .common import TEST_JSON... | 24.259475 | 88 | 0.414373 |
5fa141b264762a22f9a2b6309a86900f4d79fb07 | 389 | py | Python | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 21 | 2019-04-15T07:25:48.000Z | 2022-03-19T04:21:43.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 30 | 2019-04-15T07:18:59.000Z | 2022-03-19T07:26:57.000Z | tests/unit/test_priorities.py | anshumangoyal/testrail-api | a9b2983a59667999a8432fa0af034c1fbd07e1cc | [
"MIT"
] | 16 | 2019-02-21T11:59:32.000Z | 2022-02-23T17:33:16.000Z | import json
import responses
| 24.3125 | 93 | 0.59383 |
5fa14c2eb69ff76b5ae4ab590ca445b49132d179 | 37,185 | py | Python | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 21 | 2020-06-03T13:54:22.000Z | 2022-02-27T18:20:35.000Z | prescient/gosm/tester.py | iSoron/Prescient | a3c1d7c5840893ff43dca48c40dc90f083292d26 | [
"BSD-3-Clause"
] | 79 | 2020-07-30T17:29:04.000Z | 2022-03-09T00:06:39.000Z | prescient/gosm/tester.py | bknueven/Prescient | 6289c06a5ea06c137cf1321603a15e0c96ddfb85 | [
"BSD-3-Clause"
] | 16 | 2020-07-14T17:05:56.000Z | 2022-02-17T17:51:13.000Z | # ___________________________________________________________________________
#
# Prescient
# Copyright 2020 National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
# This software is ... | 43.644366 | 134 | 0.61584 |
5fa27ee2e5dad2743d90292ecca26ad61a23a586 | 615 | py | Python | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | 1 | 2020-07-31T06:34:27.000Z | 2020-07-31T06:34:27.000Z | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | null | null | null | inbound/admin.py | nilesh-kr-dubey/django-inbound-rules | 5ca122bf915d17c04a63b1464048bba91006e854 | [
"MIT"
] | null | null | null | from django.contrib import admin
from inbound.models import Rule, InboundIP
# Register your models here.
admin.site.register(Rule, RuleAdmin)
| 25.625 | 98 | 0.676423 |
5fa29ec1b9e32e73683aab09293ca2018836774b | 397 | py | Python | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | 2 | 2020-12-11T12:45:34.000Z | 2021-11-09T11:25:23.000Z | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | null | null | null | firldBuzzUserEntryApp/login/loginForm.py | sir-rasel/backend-api-integration | 41e3d44caa6ec10382efbb482cb9d0f77bd4a5fb | [
"MIT"
] | null | null | null | from django import forms
| 49.625 | 89 | 0.722922 |
5fa32fa26545cc0a0f75090c1a789058c3f6ac3d | 751 | py | Python | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | 1 | 2021-01-03T13:01:33.000Z | 2021-01-03T13:01:33.000Z | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | src/level2/뉴스클러스터링.py | iml1111/programmers_coding_study | 07e89220c59c3b40dd92edc39d1b573d018efae4 | [
"MIT"
] | null | null | null | from collections import Counter
if __name__ == '__main__':
#print(solution("FRANCE", "french"))
print(solution("E=M*C^2", "e=m*c^2")) | 31.291667 | 77 | 0.609854 |
5fa6b75aa0e33eeec7402b44584c8450dcb054c7 | 1,226 | py | Python | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | gssClients/gssPythonClients/download_gss.py | SemWES/client_libs | 48c3af519ceaf80b3f33cf509c72376b9b3d9582 | [
"Zlib"
] | null | null | null | #!/bin/env python
# Copyright STIFTELSEN SINTEF 2016
import suds
import urllib2
import sys
if len(sys.argv) < 4:
print ("Usage:")
print ("\t %s gss-url outputfilename token" % sys.argv[0])
exit()
# get url:
url = sys.argv[1]
outputfileName = sys.argv[2]
sessionToken = sys.argv[3]
wsdlLocation = "https:... | 29.190476 | 88 | 0.686786 |
5faad04658ea51684534a077173c5f03481fc86f | 6,728 | py | Python | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | 1 | 2021-07-28T06:02:44.000Z | 2021-07-28T06:02:44.000Z | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | Zmuggler.py | electronicbots/Zmuggler | 5b9df5919367dffb588b18c5acd567e20135d2b7 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from requests import Request, Session
from requests.exceptions import ReadTimeout
import urllib3, requests, collections, http.client, optparse, sys, os
print("""\033[1;36m
_____ _
|__ /_ __ ___ _ _ __ _ __ _| | ___ _ __
/ /| '_ ` _ \| | | |/ _` |/ ... | 35.597884 | 148 | 0.5 |
5faed7df0481d882b8814038712e8be58ef77e17 | 3,397 | py | Python | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-09-15T10:10:26.000Z | 2021-09-15T10:10:26.000Z | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | null | null | null | cosmosis-standard-library/shear/cl_to_xi_fullsky/cl_to_xi_interface.py | ktanidis2/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra | 07e5d308c6a8641a369a3e0b8d13c4104988cd2b | [
"BSD-2-Clause"
] | 1 | 2021-06-11T15:29:43.000Z | 2021-06-11T15:29:43.000Z | #coding: utf-8
#import cl_to_xi_full
from __future__ import print_function
from builtins import range
import numpy as np
from cosmosis.datablock import option_section, names as section_names
from cl_to_xi import save_xi_00_02, save_xi_22, arcmin_to_radians, SpectrumInterp
from legendre import get_legfactors_00, get_leg... | 36.138298 | 87 | 0.657345 |
5fafc8dcb4215c91fc9ae3f825e9c6da430bff4a | 326 | py | Python | software/glasgow/applet/video/__init__.py | electroniceel/Glasgow | f6d8fda1d5baec006a6c43fa3d2547a33bdee666 | [
"Apache-2.0",
"0BSD"
] | 1,014 | 2019-10-05T16:21:43.000Z | 2022-03-31T09:26:43.000Z | software/glasgow/applet/video/__init__.py | attie/glasgow | eca2cb278478d9cb9a102e6e99dfc5bd2d77a549 | [
"Apache-2.0",
"0BSD"
] | 113 | 2019-10-06T07:49:37.000Z | 2022-03-24T04:33:08.000Z | software/glasgow/applet/video/__init__.py | attie/glasgow | eca2cb278478d9cb9a102e6e99dfc5bd2d77a549 | [
"Apache-2.0",
"0BSD"
] | 79 | 2019-10-08T07:36:03.000Z | 2022-03-21T07:00:27.000Z | """
The ``video`` taxon groups applets implementing video interfaces, that is, interfaces for periodic
transfers of 2d arrays of samples of electromagnetic wave properties.
Examples: VGA output, TFT LCD capture, TFT LCD output.
Counterexamples: SCSI scanner (use taxon ``photo``), SPI LCD output (use taxon ``display``)... | 40.75 | 98 | 0.757669 |
5fb11bba5257814c53fdaf00b36feffb7caef7ad | 22,329 | py | Python | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | 3 | 2016-11-18T07:19:57.000Z | 2016-11-28T08:28:38.000Z | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | aiida_vasp/parsers/content_parsers/vasprun.py | DropD/aiida_vasp | 9967f5501a6fc1c67981154068135cec7be5396a | [
"MIT"
] | null | null | null | """
The vasprun.xml parser interface.
---------------------------------
Contains the parsing interfaces to ``parsevasp`` used to parse ``vasprun.xml`` content.
"""
# pylint: disable=abstract-method, too-many-public-methods
import numpy as np
from parsevasp.vasprun import Xml
from parsevasp import constants as parseva... | 31.898571 | 132 | 0.578261 |
5fb1b34629d1b25a94935e87aa37911d21e8edb9 | 704 | py | Python | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 8 | 2019-06-18T20:20:39.000Z | 2019-11-09T20:21:06.000Z | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 8 | 2019-12-04T23:26:42.000Z | 2022-02-10T12:02:19.000Z | estoque/admin.py | Felipebros/mini_curso_django | 965dd5e8837db9dea4485e889c2b8703fb5e902d | [
"MIT"
] | 3 | 2019-06-21T22:37:32.000Z | 2019-10-31T00:38:45.000Z | from django.contrib import admin
from .models import Produto, TipoProduto, Estoque
# Register your models here.
admin.site.register(TipoProduto, TipoProdutoAdmin)
admin.site.register(Estoque, EstoqueAdmin)
admin.site.register(Produto, ProdutoAdmin) | 35.2 | 105 | 0.755682 |
5fb1ba21e31a7c2b9e588c895f10ae57243ce651 | 3,137 | py | Python | star/star.py | gd-star-pp/star-pp | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | 2 | 2021-10-10T23:42:30.000Z | 2022-03-31T19:43:13.000Z | star/star.py | lotus-gd/azalea | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | null | null | null | star/star.py | lotus-gd/azalea | 24c7289199215961fe5462b99ec600907b305d3f | [
"MIT"
] | null | null | null | import gd, itertools
from cube import calculate_cube
from ball import calculate_ball
from helpers import average
client = gd.Client()
modes = {gd.PortalType.CUBE: calculate_cube,
gd.PortalType.SHIP: calculate_ship,
gd.PortalType.BALL: calculate_ball,
gd.PortalType.BALL: calculate_ufo,
... | 36.057471 | 203 | 0.646159 |
5fb3ccf7fca90c61707cbd90f3475846779b54b9 | 341 | py | Python | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 30 | 2016-04-30T01:56:05.000Z | 2022-03-09T22:19:12.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 1 | 2021-05-19T19:36:45.000Z | 2021-05-19T19:36:45.000Z | clash-of-code/shortest/number_categories.py | jonasnic/codingame | f1a7fe8007b9ca63bdf30cd72f4d6ac41a5ac721 | [
"MIT"
] | 17 | 2020-01-28T13:54:06.000Z | 2022-03-26T09:49:27.000Z | from collections import defaultdict
c=defaultdict(set)
f=lambda:[int(i) for i in input().split()]
a,b=f()
s,e=f()
for i in range(s,e+1):
x=i%a==0
y=i%b==0
if x and y:
c[3].add(i)
elif x and not y:
c[1].add(i)
elif y and not x:
c[2].add(i)
else:
c[4].add(i)
o=[]
for i in range(1,5):
o.append(str(len(c[i])... | 17.05 | 42 | 0.58651 |
5fb5e0196946388daa9f3a5d9e0cb39eba4f8a0c | 520 | py | Python | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 3 | 2019-08-22T01:20:16.000Z | 2021-02-05T09:11:50.000Z | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | null | null | null | interpreter/src/parser/errors.py | Cdayz/simple_lang | dc19d6ef76bb69c87981c8b826cf8f71b0cc475b | [
"MIT"
] | 2 | 2019-08-22T01:20:18.000Z | 2021-05-27T14:40:12.000Z | """Module with useful exceptions for Parser."""
| 22.608696 | 52 | 0.696154 |
5fb78ad70383d16f179dd4a23ab825be06e844e6 | 1,919 | py | Python | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 155 | 2015-11-01T17:48:41.000Z | 2022-02-06T21:37:41.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 193 | 2015-09-29T21:40:31.000Z | 2020-04-21T15:09:13.000Z | apps/DuelingBanditsPureExploration/dashboard/Dashboard.py | erinzm/NEXT-chemistry | d6ca0a80640937b36f9cafb5ead371e7a8677734 | [
"Apache-2.0"
] | 54 | 2015-09-30T15:51:05.000Z | 2022-02-13T05:26:20.000Z | import json
import next.utils as utils
from next.apps.AppDashboard import AppDashboard
| 47.975 | 158 | 0.604482 |
5fba9266d157d784d487f4f6d96c252ab58bc927 | 221 | py | Python | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | tetov/ITA19 | 1af68a8885caf83acd98f4136d0286539ccbe63b | [
"MIT"
] | 7 | 2019-11-13T20:29:54.000Z | 2020-02-26T14:30:54.000Z | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | GeneKao/ITA19 | c4b10dc183599eed4ed60d922b6ef5922d173bdb | [
"MIT"
] | 4 | 2019-11-07T20:57:51.000Z | 2020-03-04T11:43:18.000Z | modules/module0/02_datastructures_and_geometry/datastructures_0b.py | GeneKao/ITA19 | c4b10dc183599eed4ed60d922b6ef5922d173bdb | [
"MIT"
] | 6 | 2019-10-30T13:25:54.000Z | 2020-02-14T14:06:09.000Z | import os
import compas
from compas.datastructures import Mesh
HERE = os.path.dirname(__file__)
DATA = os.path.join(HERE, 'data')
FILE = os.path.join(DATA, 'faces.obj')
mesh = Mesh.from_obj(FILE)
print(mesh.summary())
| 18.416667 | 38 | 0.737557 |
5fbebd443ba2cc788cd34ccb4de7f2967a894072 | 3,957 | py | Python | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 4 | 2020-05-20T03:55:19.000Z | 2020-12-24T06:33:40.000Z | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-05-18T11:21:35.000Z | 2020-07-07T21:25:57.000Z | vis_utils/animation/group_animation_controller.py | eherr/vis_utils | b757b01f42e6da02ad62130c3b0e61e9eaa3886f | [
"MIT"
] | 1 | 2020-07-20T06:57:13.000Z | 2020-07-20T06:57:13.000Z | #!/usr/bin/env python
#
# Copyright 2019 DFKI GmbH.
#
# 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, merg... | 39.57 | 98 | 0.706849 |