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b765d8a9e197945a8d8e649b5d2aab25a4ba41c1 | 1,548 | py | Python | posthog/apps.py | adamb70/posthog | 54ae8f0e70092f86b4aefbd93b56680dbd28b1c5 | [
"MIT"
] | null | null | null | posthog/apps.py | adamb70/posthog | 54ae8f0e70092f86b4aefbd93b56680dbd28b1c5 | [
"MIT"
] | null | null | null | posthog/apps.py | adamb70/posthog | 54ae8f0e70092f86b4aefbd93b56680dbd28b1c5 | [
"MIT"
] | null | null | null | import os
import sys
import posthoganalytics
from django.apps import AppConfig
from django.conf import settings
from posthog.utils import get_git_branch, get_git_commit, get_machine_id
from posthog.version import VERSION
| 34.4 | 111 | 0.628553 |
b765edd3d7064dd1a82224294d673c2cee6bca1a | 836 | py | Python | src/task_timer.py | dlb-rl/pulse-rl | ebe78d2286b2199d18b86941fbc9990e0d5c354a | [
"MIT"
] | 4 | 2021-12-06T09:19:14.000Z | 2022-01-31T13:58:06.000Z | src/task_timer.py | dlb-rl/pulse-rl | ebe78d2286b2199d18b86941fbc9990e0d5c354a | [
"MIT"
] | null | null | null | src/task_timer.py | dlb-rl/pulse-rl | ebe78d2286b2199d18b86941fbc9990e0d5c354a | [
"MIT"
] | null | null | null | import os
import json
import time
from datetime import timedelta
| 26.967742 | 85 | 0.574163 |
b7660ef0961ba8b4931477e766e7019f01819220 | 8,718 | py | Python | tasks-deploy/terminal/check.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | tasks-deploy/terminal/check.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | tasks-deploy/terminal/check.py | chankruze/qctf-school-2018 | 1e732cf264ee0a94bc2fc1fd8cf3a20660d57605 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
flags = ['QCTF{2a5576bc51a5c3feb82c96fe80d3a520}', 'QCTF{eb2ddbf0e318812ede843e8ecec6144f}', 'QCTF{5cdf65c6069a6b815352c3f1b4d09a56}', 'QCTF{69d7b7deb23746b8bd18b22f3eb92b50}', 'QCTF{44e37938c0bc05393b5b33a70c5a70db}', 'QCTF{3b37a953391e38ce0b8e168e9eaa6ec5}', 'QCTF{ee2848cb73236007d36cb5ae75c4... | 670.615385 | 8,408 | 0.848704 |
b76732831186e479ef5311c8854a1d2a5b3efda3 | 18,186 | py | Python | bioshareX/api/views.py | amschaal/bioshare | 7ac5da6874f70605ded8757c46fd9629d2d3d18b | [
"MIT"
] | 7 | 2015-12-10T23:23:53.000Z | 2018-08-22T11:00:28.000Z | bioshareX/api/views.py | amschaal/bioshare | 7ac5da6874f70605ded8757c46fd9629d2d3d18b | [
"MIT"
] | 61 | 2015-12-11T01:26:26.000Z | 2021-10-05T00:25:20.000Z | bioshareX/api/views.py | amschaal/bioshare | 7ac5da6874f70605ded8757c46fd9629d2d3d18b | [
"MIT"
] | 2 | 2019-05-31T16:33:37.000Z | 2021-05-03T20:51:25.000Z | # Create your views here.
from django.core.urlresolvers import reverse
from django.http.response import JsonResponse, HttpResponse
from settings.settings import AUTHORIZED_KEYS_FILE, SITE_URL
from bioshareX.models import Share, SSHKey, MetaData, Tag
from bioshareX.forms import MetaDataForm, json_form_validate
from guar... | 47.11399 | 298 | 0.651875 |
b769a2ddbb714e86c922fd616f0acb57b564206d | 5,192 | py | Python | db_query.py | UiOHive/FinseDashboard | 14184fbc425e87a4b9a13b3a9b31159b181cf357 | [
"MIT"
] | null | null | null | db_query.py | UiOHive/FinseDashboard | 14184fbc425e87a4b9a13b3a9b31159b181cf357 | [
"MIT"
] | null | null | null | db_query.py | UiOHive/FinseDashboard | 14184fbc425e87a4b9a13b3a9b31159b181cf357 | [
"MIT"
] | null | null | null | import datetime
import os, sys
import pprint
import requests
from pandas.io.json import json_normalize
import pandas as pd
URL = 'https://wsn.latice.eu/api/query/v2/'
#URL = 'http://localhost:8000/wsn/api/query/v2/'
#TOKEN = os.getenv('WSN_TOKEN')
TOKEN = os.getenv('WSN_TOKEN')
path = os.getcwd()
if __name__ == '__... | 28.217391 | 125 | 0.573575 |
b76bc1e49faa136f8b812dcedd6dc878d0d8aa05 | 4,716 | py | Python | src/olympia/reviews/tests/test_models.py | leplatrem/addons-server | 8b5ebda6f33194aa9fce12c0453574e7f850e6ad | [
"BSD-3-Clause"
] | null | null | null | src/olympia/reviews/tests/test_models.py | leplatrem/addons-server | 8b5ebda6f33194aa9fce12c0453574e7f850e6ad | [
"BSD-3-Clause"
] | null | null | null | src/olympia/reviews/tests/test_models.py | leplatrem/addons-server | 8b5ebda6f33194aa9fce12c0453574e7f850e6ad | [
"BSD-3-Clause"
] | null | null | null | from django.utils import translation
from olympia import amo
from olympia.amo.tests import TestCase, ESTestCase
from olympia.addons.models import Addon
from olympia.reviews import tasks
from olympia.reviews.models import (
check_spam, GroupedRating, Review, ReviewFlag, Spam)
from olympia.users.models import UserPr... | 31.44 | 78 | 0.636556 |
b76c4833b7dafb63e3cda3a938dba6519b8c5061 | 1,544 | py | Python | snpy/spline2/__init__.py | emirkmo/snpy | 2a0153c84477ba8a30310d7dbca3d5a8f24de3c6 | [
"MIT"
] | 6 | 2019-01-14T19:40:45.000Z | 2021-06-05T12:19:39.000Z | snpy/spline2/__init__.py | emirkmo/snpy | 2a0153c84477ba8a30310d7dbca3d5a8f24de3c6 | [
"MIT"
] | 3 | 2017-04-25T20:06:22.000Z | 2021-06-09T20:46:41.000Z | snpy/spline2/__init__.py | emirkmo/snpy | 2a0153c84477ba8a30310d7dbca3d5a8f24de3c6 | [
"MIT"
] | 8 | 2017-04-25T19:57:57.000Z | 2021-11-12T11:54:19.000Z | ''' Spline2.py: wrapper for B. Thijsse et al.'s hyper-spline routines.
Yet another spline interpolation routine. The problem: given a set of
experimental data with noise, find the spline with the optimal number of
knots.
Solution : They use the usual kind of routines to determine least-squares
splines ... | 49.806452 | 74 | 0.687824 |
b76e06eb55845d82a11e8d62864a8001b125af43 | 703 | py | Python | halo_app/infra/cache.py | halo-framework/halo-app | 98e057b2f433d97d903589ac75a6c2544174bac8 | [
"MIT"
] | null | null | null | halo_app/infra/cache.py | halo-framework/halo-app | 98e057b2f433d97d903589ac75a6c2544174bac8 | [
"MIT"
] | null | null | null | halo_app/infra/cache.py | halo-framework/halo-app | 98e057b2f433d97d903589ac75a6c2544174bac8 | [
"MIT"
] | null | null | null | from __future__ import annotations
import elasticache_auto_discovery
from pymemcache.client.hash import HashClient
# elasticache settings
elasticache_config_endpoint = "your-elasticache-cluster-endpoint:port"
nodes = elasticache_auto_discovery.discover(elasticache_config_endpoint)
nodes = map(lambda x: (x[1], int(x[2... | 25.107143 | 72 | 0.752489 |
b76e3c3a78b500e4bd43645ac8426138d20f7491 | 659 | py | Python | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_4/domain_table_data_processor/parent_code_column_adder.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | 2 | 2021-08-09T14:40:04.000Z | 2022-03-13T22:22:19.000Z | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_4/domain_table_data_processor/parent_code_column_adder.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | null | null | null | uniclass_to_nf_ea_com_source/b_code/migrators/uniclass_raw_to_domain/evolve/evolve_stage_4/domain_table_data_processor/parent_code_column_adder.py | boro-alpha/uniclass_to_nf_ea_com | 753e97467ce53c25bc86341b915489c2eeeb3f49 | [
"MIT"
] | null | null | null | import numpy as np
from uniclass_to_nf_ea_com_source.b_code.configurations.common_constants.uniclass_bclearer_constants import PARENT_CODE_COLUMN_NAME, \
UNICLASS2015_OBJECT_TABLE_NAME
| 27.458333 | 134 | 0.752656 |
b771162a3330c2472592fd5f42c757bebf6eb7a4 | 12,046 | py | Python | ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | 2 | 2021-11-16T10:00:33.000Z | 2021-12-13T02:57:40.000Z | ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | null | null | null | ext/ANTsPyNet/antspynet/utilities/mixture_density_utilities.py | tsmonteiro/fmri_proc | ee740cfa3c3a7ef8e1ee1ebd3b286a66712e0ec1 | [
"MIT"
] | 1 | 2021-12-13T02:57:27.000Z | 2021-12-13T02:57:27.000Z |
import keras.backend as K
from keras.engine import Layer, InputSpec
from keras.layers import Concatenate
from keras import initializers
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
def get_mixture_density_loss_function(output_dimension, number_of_mixtures):
"""
Returns a l... | 30.651399 | 94 | 0.628341 |
b7712de7485aecf34c54bcaa9134a8c65cfc7aa6 | 1,481 | py | Python | test.py | pnawalramka/cowin | f8ce6286d38fc0616a385ac0a971c8947f71348c | [
"MIT"
] | null | null | null | test.py | pnawalramka/cowin | f8ce6286d38fc0616a385ac0a971c8947f71348c | [
"MIT"
] | null | null | null | test.py | pnawalramka/cowin | f8ce6286d38fc0616a385ac0a971c8947f71348c | [
"MIT"
] | null | null | null | import json
from unittest import mock, TestCase
import check_availability
json_data = \
"""
{
"centers": [
{
"center_id": 1234,
"name": "District General Hostpital",
"name_l": "",
"address": "45 M G Road",
"address_l": "",
"state_name": "Maharashtra",
"state_name_l": ""... | 21.779412 | 63 | 0.532073 |
b771d6a65389f019399e4105e7ca9559208f9b9c | 271 | py | Python | pycon_project/apps/proposals/admin.py | mitsuhiko/pycon | 73688a82080539a1c0d575cf3248f55fefb6b9ba | [
"BSD-3-Clause"
] | 1 | 2017-09-04T08:19:08.000Z | 2017-09-04T08:19:08.000Z | pycon_project/apps/proposals/admin.py | mitsuhiko/pycon | 73688a82080539a1c0d575cf3248f55fefb6b9ba | [
"BSD-3-Clause"
] | null | null | null | pycon_project/apps/proposals/admin.py | mitsuhiko/pycon | 73688a82080539a1c0d575cf3248f55fefb6b9ba | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from proposals.models import Proposal, ProposalSessionType
admin.site.register(ProposalSessionType)
admin.site.register(Proposal,
list_display = ["title", "session_type", "audience_level", "cancelled", "extreme_pycon", "invited"]
) | 30.111111 | 103 | 0.785978 |
b7720c668afa28b45e212a7ec9a950d7f27725bb | 12,805 | py | Python | cemc/mcmc/cov_reaction_crd.py | davidkleiven/WangLandau | 0b253dd98033c53560fe95c76f5e38257834bdf6 | [
"MIT"
] | 2 | 2022-02-10T00:38:53.000Z | 2022-03-17T22:08:40.000Z | cemc/mcmc/cov_reaction_crd.py | davidkleiven/CEMC | 0b253dd98033c53560fe95c76f5e38257834bdf6 | [
"MIT"
] | 30 | 2018-05-21T14:52:00.000Z | 2021-02-24T07:45:09.000Z | cemc/mcmc/cov_reaction_crd.py | davidkleiven/WangLandau | 0b253dd98033c53560fe95c76f5e38257834bdf6 | [
"MIT"
] | 3 | 2018-10-09T14:03:32.000Z | 2022-02-09T05:36:05.000Z | import sys
from cemc.mcmc import ReactionCrdInitializer, ReactionCrdRangeConstraint
import numpy as np
from itertools import product
import time
from numpy.linalg import inv
def log(self, msg):
print(msg)
def set(self, atoms, value):
"""Create an atoms object with the correct reaction coord... | 38.338323 | 109 | 0.617415 |
b77285d78a57f47f11411ca9d0f97da9f2e1f31c | 3,810 | py | Python | mysql/main.py | migachevalexey/BigQuery-integrations | d44546fbd3ff116e35ef90800ade2399e7266d9e | [
"MIT"
] | null | null | null | mysql/main.py | migachevalexey/BigQuery-integrations | d44546fbd3ff116e35ef90800ade2399e7266d9e | [
"MIT"
] | null | null | null | mysql/main.py | migachevalexey/BigQuery-integrations | d44546fbd3ff116e35ef90800ade2399e7266d9e | [
"MIT"
] | null | null | null | from google.cloud import bigquery
from mysql.connector import connect
import os
# writeable part of the filesystem for Cloud Functions instance
gc_write_dir = "/tmp"
def get_file_mysql(mysql_configuration):
"""
Querying data using Connector/Python via *host* MySQL server.
The function return the f... | 39.6875 | 193 | 0.664829 |
b7728a4f2303e9918fa06fb3ec419829f1f73d23 | 2,413 | py | Python | arthur.carvalho/snakepro/game.py | LUDUSLab/stem-games | 347afa8b1511d76f8070fa69f27a49b57e551376 | [
"MIT"
] | 2 | 2021-01-24T01:04:34.000Z | 2021-05-06T16:25:53.000Z | arthur.carvalho/snakepro/game.py | LUDUSLab/stem-games | 347afa8b1511d76f8070fa69f27a49b57e551376 | [
"MIT"
] | null | null | null | arthur.carvalho/snakepro/game.py | LUDUSLab/stem-games | 347afa8b1511d76f8070fa69f27a49b57e551376 | [
"MIT"
] | 3 | 2021-01-26T21:35:43.000Z | 2021-05-06T16:06:47.000Z | from config import *
from fruit import *
from snakebody import *
from wall import *
# score
score_font = pygame.font.Font('assets/PressStart2P.ttf', 30)
score = 0
# game over
game_ove_font = pygame.font.Font('assets/PressStart2P.ttf', 60)
game_over_text = game_ove_font.render('Game Over', True, color_black, color... | 25.135417 | 110 | 0.574803 |
b7728d4f3bcf2508223268aec9d55c9c7919b6a4 | 821 | py | Python | preprocessing_pipeline/so/util/log.py | sotorrent/preprocessing-pipeline | d407a56760fa5ab975dc2043c89f478bd7c89e99 | [
"Apache-2.0"
] | null | null | null | preprocessing_pipeline/so/util/log.py | sotorrent/preprocessing-pipeline | d407a56760fa5ab975dc2043c89f478bd7c89e99 | [
"Apache-2.0"
] | null | null | null | preprocessing_pipeline/so/util/log.py | sotorrent/preprocessing-pipeline | d407a56760fa5ab975dc2043c89f478bd7c89e99 | [
"Apache-2.0"
] | 1 | 2021-09-22T16:07:18.000Z | 2021-09-22T16:07:18.000Z | import logging
from preprocessing_pipeline.so.util.config import LOG_LEVEL
def initialize_logger(logger_name):
"""
Configure a named logger (see https://stackoverflow.com/a/43794480).
"""
# create logger for module
module_logger = logging.getLogger(logger_name)
# set lowest log level the log... | 30.407407 | 96 | 0.742996 |
b7734741f7d6376de18287d5b5965809361df47f | 995 | py | Python | utilityFunction/CommandFunc.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | null | null | null | utilityFunction/CommandFunc.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | 3 | 2021-03-23T04:58:47.000Z | 2021-04-02T02:40:54.000Z | utilityFunction/CommandFunc.py | The-Fragment/FragmentFembot | bca0027b423753eb162590e8fd440a2c1e65d133 | [
"MIT"
] | null | null | null | import random
# Ex. takes in 2d20 and outputs the string Rolling 2 d20
# Ex. takes in 2d20 and outputs resultString = 11, 19 results = 30 numDice = 2
| 27.638889 | 78 | 0.582915 |
b773ef3748302d9fb0e80bd06beb0fda6a677835 | 12,339 | py | Python | src/reviews/tests/test_forms.py | Talengi/phase | 60ff6f37778971ae356c5b2b20e0d174a8288bfe | [
"MIT"
] | 8 | 2016-01-29T11:53:40.000Z | 2020-03-02T22:42:02.000Z | src/reviews/tests/test_forms.py | Talengi/phase | 60ff6f37778971ae356c5b2b20e0d174a8288bfe | [
"MIT"
] | 289 | 2015-03-23T07:42:52.000Z | 2022-03-11T23:26:10.000Z | src/reviews/tests/test_forms.py | Talengi/phase | 60ff6f37778971ae356c5b2b20e0d174a8288bfe | [
"MIT"
] | 7 | 2015-12-08T09:03:20.000Z | 2020-05-11T15:36:51.000Z | # -*- coding: utf-8 -*-
import datetime
from django.test import TestCase
from django.contrib.contenttypes.models import ContentType
from accounts.factories import UserFactory
from categories.factories import CategoryFactory
from documents.factories import DocumentFactory
from default_documents.models import Contrac... | 34.275 | 86 | 0.630359 |
b77448adc21f21e754acd95d28d79c117e90042e | 2,814 | py | Python | WWW/pycopia/WWW/HTML5simple.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 89 | 2015-03-26T11:25:20.000Z | 2022-01-12T06:25:14.000Z | WWW/pycopia/WWW/HTML5simple.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 1 | 2015-07-05T03:27:43.000Z | 2015-07-11T06:21:20.000Z | WWW/pycopia/WWW/HTML5simple.py | kdart/pycopia | 1446fabaedf8c6bdd4ab1fc3f0ea731e0ef8da9d | [
"Apache-2.0"
] | 30 | 2015-04-30T01:35:54.000Z | 2022-01-12T06:19:49.000Z | #!/usr/bin/python2.7
# -*- coding: utf-8 -*-
# vim:ts=4:sw=4:softtabstop=4:smarttab:expandtab
# 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
... | 35.620253 | 90 | 0.678749 |
b77490b49e8e303cfb2f69ab8e30192b9d37bd8f | 2,077 | py | Python | zairachem/reports/report.py | ersilia-os/ersilia-automl-chem | fabb1f05d17cff11ec0e084495eed4c0152f2f63 | [
"MIT"
] | null | null | null | zairachem/reports/report.py | ersilia-os/ersilia-automl-chem | fabb1f05d17cff11ec0e084495eed4c0152f2f63 | [
"MIT"
] | null | null | null | zairachem/reports/report.py | ersilia-os/ersilia-automl-chem | fabb1f05d17cff11ec0e084495eed4c0152f2f63 | [
"MIT"
] | null | null | null | from .plots import (
ActivesInactivesPlot,
ConfusionPlot,
RocCurvePlot,
ProjectionPlot,
RegressionPlotRaw,
HistogramPlotRaw,
RegressionPlotTransf,
HistogramPlotTransf,
Transformation,
IndividualEstimatorsAurocPlot,
InidvidualEstimatorsR2Plot,
)
from .. import ZairaBase
from ... | 28.847222 | 69 | 0.692826 |
b777765b36345a7cbdc249bcc3d7922fbe5e7398 | 2,198 | py | Python | tests/backend/configobj.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | tests/backend/configobj.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | tests/backend/configobj.py | edyan/python-anyconfig | d237909a6e4848737539b80951b710238c72052f | [
"MIT"
] | null | null | null | #
# Copyright (C) 2013 - 2017 Satoru SATOH <ssato @ redhat.com>
# License: MIT
#
# pylint: disable=missing-docstring,invalid-name,too-few-public-methods
# pylint: disable=ungrouped-imports
from __future__ import absolute_import
import anyconfig.backend.configobj as TT
import tests.backend.common as TBC
from anyconfig... | 27.135802 | 76 | 0.589172 |
b777b683adb530c1229387728fa21c1239e09fa6 | 23 | py | Python | backend/lorre/__init__.py | nhurman/Lorre | 9a19d00809bd3850d288c9ef1166da016d29b819 | [
"MIT"
] | null | null | null | backend/lorre/__init__.py | nhurman/Lorre | 9a19d00809bd3850d288c9ef1166da016d29b819 | [
"MIT"
] | null | null | null | backend/lorre/__init__.py | nhurman/Lorre | 9a19d00809bd3850d288c9ef1166da016d29b819 | [
"MIT"
] | null | null | null | __author__ = 'nhurman'
| 11.5 | 22 | 0.73913 |
b778baead541bab3544aa4b5bfec40bbfb0e7118 | 1,794 | py | Python | tests/test_spider.py | aezhov/sw_downloader | 325f6fe98579dda4f98613e4513fc46c7bd962c7 | [
"MIT"
] | 1 | 2020-01-23T06:56:34.000Z | 2020-01-23T06:56:34.000Z | tests/test_spider.py | aezhov/sw_downloader | 325f6fe98579dda4f98613e4513fc46c7bd962c7 | [
"MIT"
] | null | null | null | tests/test_spider.py | aezhov/sw_downloader | 325f6fe98579dda4f98613e4513fc46c7bd962c7 | [
"MIT"
] | 2 | 2020-01-23T06:56:36.000Z | 2020-01-24T05:34:25.000Z | import requests
from scrapy.http import HtmlResponse
from sw_downloader.sw_downloader.spiders.smashing_magazine \
import SmashingMagazineSpider
| 39.866667 | 70 | 0.628763 |
b778ede17d0ff72b747e93fc5f260c19e384862d | 160 | py | Python | 1_PROGI/Exe 5.py | Julymusso/IFES | 939277c375dacc7750705c5593537d80ab4cbc0e | [
"MIT"
] | null | null | null | 1_PROGI/Exe 5.py | Julymusso/IFES | 939277c375dacc7750705c5593537d80ab4cbc0e | [
"MIT"
] | null | null | null | 1_PROGI/Exe 5.py | Julymusso/IFES | 939277c375dacc7750705c5593537d80ab4cbc0e | [
"MIT"
] | null | null | null | #var
#num, media, i: inteiro
media=0
for i in range(1,11,1):
num=int(input("Digite um nmero: "))
media = media+num
media=media/i
print (media) | 17.777778 | 40 | 0.61875 |
b7794cab91544e360a3b3517961177ee512565ea | 4,289 | py | Python | rio/tasks.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | null | null | null | rio/tasks.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | 14 | 2016-04-14T04:18:41.000Z | 2016-05-12T03:46:37.000Z | rio/tasks.py | soasme/rio | e6b89634db8d3ad75ac7f7b25ddec5b19d4f66e2 | [
"MIT"
] | 1 | 2016-04-06T08:54:20.000Z | 2016-04-06T08:54:20.000Z | # -*- coding: utf-8 -*-
"""
rio.tasks
~~~~~~~~~~
Implement of rio tasks based on celery.
"""
from time import time
from celery import chord
from requests import ConnectionError
from celery.utils.log import get_task_logger
from rio.core import celery
from rio.core import sentry
from rio.utils.http import dispatch_w... | 26.312883 | 77 | 0.55211 |
b77a241d42c4accce70a300b51e344bbc1b51e81 | 2,932 | py | Python | security_app/createuserpoolgroup.py | jagalembu/chalice_cognito_multi_tenancy | b1a6569e716848adfd5b443239fca1ae883d4f4b | [
"MIT"
] | null | null | null | security_app/createuserpoolgroup.py | jagalembu/chalice_cognito_multi_tenancy | b1a6569e716848adfd5b443239fca1ae883d4f4b | [
"MIT"
] | null | null | null | security_app/createuserpoolgroup.py | jagalembu/chalice_cognito_multi_tenancy | b1a6569e716848adfd5b443239fca1ae883d4f4b | [
"MIT"
] | null | null | null | import os
import uuid
import json
import argparse
import boto3
USERPOOL = {
'env_var_poolid': 'APPUSERPOOLID',
'env_var_cognito_url': 'COGNITOJWKSURL',
'env_var_pool_client': 'APPCLIENTID',
}
if __name__ == '__main__':
main() | 30.863158 | 104 | 0.645634 |
b77c8918ea2f71cb1258eb1a156531c01f3b83b2 | 269 | py | Python | Chapter 07/hmac-md5.py | Prakshal2607/Effective-Python-Penetration-Testing | f49fedc172a1add45edb21f66f74746dfa9c944a | [
"MIT"
] | 346 | 2016-06-21T11:39:39.000Z | 2022-01-26T03:19:29.000Z | Chapter 07/hmac-md5.py | liceaga/Effective-Python-Penetration-Testing | 0b043885231662efd63402eec3c9cb413b9693e2 | [
"MIT"
] | 1 | 2016-06-21T11:44:42.000Z | 2016-11-17T05:10:08.000Z | Chapter 07/hmac-md5.py | liceaga/Effective-Python-Penetration-Testing | 0b043885231662efd63402eec3c9cb413b9693e2 | [
"MIT"
] | 210 | 2016-06-22T12:08:47.000Z | 2022-03-16T15:54:30.000Z | import hmac
hmac_md5 = hmac.new('secret-key')
f = open('sample-file.txt', 'rb')
try:
while True:
block = f.read(1024)
if not block:
break
hmac_md5.update(block)
finally:
f.close()
digest = hmac_md5.hexdigest()
print digest | 16.8125 | 33 | 0.598513 |
b77cac8f40a35a229bb7b41f7b04619f55a2baf4 | 31,686 | py | Python | dingtalk/python/alibabacloud_dingtalk/alitrip_1_0/models.py | yndu13/dingtalk-sdk | 700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f | [
"Apache-2.0"
] | null | null | null | dingtalk/python/alibabacloud_dingtalk/alitrip_1_0/models.py | yndu13/dingtalk-sdk | 700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f | [
"Apache-2.0"
] | null | null | null | dingtalk/python/alibabacloud_dingtalk/alitrip_1_0/models.py | yndu13/dingtalk-sdk | 700fb7bb49c4d3167f84afc5fcb5e7aa5a09735f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import Dict, List
| 33.636943 | 142 | 0.581424 |
b7800aafff5c8094f397d2e3b7573a73689dfdba | 560 | py | Python | src/while_exit.py | Alex9808/py101 | 18c585c1433e8ec6f5e4962e556a781e0c3c3cd5 | [
"MIT"
] | 25 | 2018-08-14T22:13:13.000Z | 2021-07-23T04:14:06.000Z | src/while_exit.py | Alex9808/py101 | 18c585c1433e8ec6f5e4962e556a781e0c3c3cd5 | [
"MIT"
] | 1 | 2021-05-21T23:46:42.000Z | 2021-05-21T23:46:42.000Z | src/while_exit.py | Alex9808/py101 | 18c585c1433e8ec6f5e4962e556a781e0c3c3cd5 | [
"MIT"
] | 34 | 2018-07-30T20:48:17.000Z | 2022-02-04T19:01:27.000Z | #!/usr/bin/env python
''' Este programa se repetir 3 veces o hasta que se ingrese
la palabra "despedida" y desplegar slo el nmero de intentos
fallidos hasta que cualquiera de los eventos ocurentradara. Al
ingresar la palabra "termina" el programa se detendr.'''
entrada = ""
suma = 0
while suma < ... | 29.473684 | 67 | 0.630357 |
b78064bab0e579a79f199c581d29dfd0023d9a67 | 1,337 | py | Python | src/kong/db.py | paulgessinger/kong | b1e2ec0c18f432fa2419b2b0dc95ee1e391cf7a5 | [
"MIT"
] | 3 | 2020-02-14T09:23:56.000Z | 2020-08-24T16:19:00.000Z | src/kong/db.py | paulgessinger/kong | b1e2ec0c18f432fa2419b2b0dc95ee1e391cf7a5 | [
"MIT"
] | 159 | 2019-09-16T19:17:16.000Z | 2022-03-29T19:12:37.000Z | src/kong/db.py | paulgessinger/kong | b1e2ec0c18f432fa2419b2b0dc95ee1e391cf7a5 | [
"MIT"
] | null | null | null | """
Singleton database instance
"""
from typing import TYPE_CHECKING, Any, List, ContextManager, Tuple, Iterable
if not TYPE_CHECKING:
from playhouse.sqlite_ext import SqliteExtDatabase, AutoIncrementField
else: # pragma: no cover
database = SqliteExtDatabase(None)
| 20.890625 | 86 | 0.449514 |
b7828d9ca80482a07e76866d18c12b99668834d3 | 2,582 | py | Python | selenium_wrapper/factory.py | dfeeley/selenium-wrapper | f69576802e7847d120a051a2902da5750b9c6203 | [
"MIT"
] | 1 | 2022-01-14T20:21:19.000Z | 2022-01-14T20:21:19.000Z | selenium_wrapper/factory.py | dfeeley/selenium-wrapper | f69576802e7847d120a051a2902da5750b9c6203 | [
"MIT"
] | null | null | null | selenium_wrapper/factory.py | dfeeley/selenium-wrapper | f69576802e7847d120a051a2902da5750b9c6203 | [
"MIT"
] | null | null | null | import os
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.webdriver.chrome.options import Options
from .driver import Driver
| 39.723077 | 84 | 0.703718 |
b782afffa41a32debaad33cd5a697c066dc182f8 | 14,153 | py | Python | networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py | arvindsharma16/networking-cisco | 2f38c25742296f07ab80479c152504353da0a1d4 | [
"Apache-2.0"
] | null | null | null | networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py | arvindsharma16/networking-cisco | 2f38c25742296f07ab80479c152504353da0a1d4 | [
"Apache-2.0"
] | null | null | null | networking_cisco/tests/unit/saf/agent/vdp/test_lldpad.py | arvindsharma16/networking-cisco | 2f38c25742296f07ab80479c152504353da0a1d4 | [
"Apache-2.0"
] | 1 | 2020-08-31T22:53:38.000Z | 2020-08-31T22:53:38.000Z | # Copyrigh 2015 Cisco Systems.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 50.366548 | 79 | 0.466191 |
b7836e4485ed6acdd7e26cba6a9e54fccf62bd20 | 15,656 | py | Python | py/prospect/viewer/cds.py | segasai/prospect | 0237fad5b04f5a982ba4178320e1ca5bb5fa408f | [
"BSD-3-Clause"
] | 4 | 2018-10-22T21:12:43.000Z | 2019-07-11T20:08:12.000Z | py/prospect/viewer/cds.py | segasai/prospect | 0237fad5b04f5a982ba4178320e1ca5bb5fa408f | [
"BSD-3-Clause"
] | 54 | 2019-12-07T08:24:53.000Z | 2022-02-25T10:17:59.000Z | py/prospect/viewer/cds.py | segasai/prospect | 0237fad5b04f5a982ba4178320e1ca5bb5fa408f | [
"BSD-3-Clause"
] | 5 | 2019-12-20T21:47:40.000Z | 2021-01-20T23:54:43.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""
===================
prospect.viewer.cds
===================
Class containing all bokeh's ColumnDataSource objects needed in viewer.py
"""
import numpy as np
from pkg_resources import resource_filename
import bokeh.plotting a... | 45.37971 | 135 | 0.551993 |
b785c28b83b4fcf0dd190a336d9e93908aec9ec2 | 4,865 | py | Python | tests/test_32_read_registration.py | jschlyter/oidcendpoint | 3192e6043f00b22809f63329893c50bedbdeafbc | [
"Apache-2.0"
] | null | null | null | tests/test_32_read_registration.py | jschlyter/oidcendpoint | 3192e6043f00b22809f63329893c50bedbdeafbc | [
"Apache-2.0"
] | null | null | null | tests/test_32_read_registration.py | jschlyter/oidcendpoint | 3192e6043f00b22809f63329893c50bedbdeafbc | [
"Apache-2.0"
] | null | null | null | # -*- coding: latin-1 -*-
import json
import pytest
from oidcendpoint.endpoint_context import EndpointContext
from oidcendpoint.oidc.authorization import Authorization
from oidcendpoint.oidc.read_registration import RegistrationRead
from oidcendpoint.oidc.registration import Registration
from oidcendpoint.oidc.token i... | 35.510949 | 87 | 0.567523 |
b786deb138ef01a31f9f64e2908250e1c39d81e6 | 253 | py | Python | thippiproject/modelapp/admin.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | null | null | null | thippiproject/modelapp/admin.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | null | null | null | thippiproject/modelapp/admin.py | Anandgowda18/djangocomplete | c9eebe7834e404c73deca295289142a1e95ab573 | [
"Apache-2.0"
] | 1 | 2021-08-31T10:20:49.000Z | 2021-08-31T10:20:49.000Z | from django.contrib import admin
from modelapp.models import Project
# Register your models here.
admin.site.register(Project,Projectadmin) | 31.625 | 73 | 0.786561 |
b786e3a7dfda3169fee4e233a099bad862bcb4ab | 621 | py | Python | 2013.6/2015.6.py | luisalvaradoar/olimpiada.ct | aea479116036abe1c9cca3b482fed61f275ed319 | [
"Apache-2.0"
] | null | null | null | 2013.6/2015.6.py | luisalvaradoar/olimpiada.ct | aea479116036abe1c9cca3b482fed61f275ed319 | [
"Apache-2.0"
] | null | null | null | 2013.6/2015.6.py | luisalvaradoar/olimpiada.ct | aea479116036abe1c9cca3b482fed61f275ed319 | [
"Apache-2.0"
] | null | null | null |
main()
#15 min | 19.40625 | 58 | 0.516908 |
b78725b75722098cca7515b9adddc2dea857de17 | 538 | py | Python | hash.py | STR-Coding-Club/blockchain-demo | fae29a52d97c7595fa1e9d99527c4b034b721b8f | [
"MIT"
] | null | null | null | hash.py | STR-Coding-Club/blockchain-demo | fae29a52d97c7595fa1e9d99527c4b034b721b8f | [
"MIT"
] | null | null | null | hash.py | STR-Coding-Club/blockchain-demo | fae29a52d97c7595fa1e9d99527c4b034b721b8f | [
"MIT"
] | null | null | null | import hashlib, json
# def hash(to_hash):
# h = hashlib.md5()
# h.update(bytes(str(to_hash), 'utf-8'))
# return h.hexdigest()
| 24.454545 | 92 | 0.60223 |
b78782c19f15096aec39ba8d508066aa4591ae37 | 1,008 | py | Python | covid-modeling-master/generate_ma_csv.py | rdkap42/caedus-covid | f64a833bdf386708fcb9394f94026c48f8d474ee | [
"MIT"
] | 10 | 2020-03-17T21:21:50.000Z | 2020-04-30T02:30:47.000Z | covid-modeling-master/generate_ma_csv.py | rdkap42/caedus-covid | f64a833bdf386708fcb9394f94026c48f8d474ee | [
"MIT"
] | 5 | 2020-03-17T04:39:03.000Z | 2021-04-30T21:11:14.000Z | covid-modeling-master/generate_ma_csv.py | rdkap42/caedus-covid | f64a833bdf386708fcb9394f94026c48f8d474ee | [
"MIT"
] | null | null | null | import logging
import time
import numpy as np
from eda import ma_data, tx_data
from sir_fitting_us import seir_experiment, make_csv_from_tx_traj
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.info("Fitting model.")
# initial values taken from previous fit, used to seed MH sampler efficie... | 31.5 | 82 | 0.727183 |
b7886dbd5b5bd5591584039afc3ce54cfdba530a | 6,877 | py | Python | For_Simulator/learning/plot_gmm_nd.py | a-taniguchi/CSL-BGM | 64bd803289e55b76a219c02ea040325a8a5b949e | [
"MIT"
] | 1 | 2018-09-27T12:19:05.000Z | 2018-09-27T12:19:05.000Z | learning/plot_gmm_nd.py | neuronalX/CSL-BGM | 2fc66611928783c9b65c675ec84d9c06e0b6cd8a | [
"MIT"
] | null | null | null | learning/plot_gmm_nd.py | neuronalX/CSL-BGM | 2fc66611928783c9b65c675ec84d9c06e0b6cd8a | [
"MIT"
] | 1 | 2018-09-27T12:19:21.000Z | 2018-09-27T12:19:21.000Z | #coding:utf-8
#gaussian plot (position category)
#Akira Taniguchi 2016/06/16
import itertools
import numpy as np
from scipy import linalg
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn import mixture
from __init__ import *
from numpy.random import multinomial,uniform,dirichlet
from sci... | 38.418994 | 757 | 0.574378 |
b789e2f11f57608cb00f55b63d916cf77099aa18 | 338 | py | Python | condiment/tests/test_simple.py | WeilerWebServices/Kivy | 54e3438156eb0c853790fd3cecc593f09123f892 | [
"MIT"
] | 3 | 2020-09-13T09:55:02.000Z | 2021-01-23T11:13:59.000Z | condiment/tests/test_simple.py | WeilerWebServices/Kivy | 54e3438156eb0c853790fd3cecc593f09123f892 | [
"MIT"
] | 2 | 2018-03-16T22:01:12.000Z | 2020-01-13T10:33:22.000Z | condiment/tests/test_simple.py | WeilerWebServices/Kivy | 54e3438156eb0c853790fd3cecc593f09123f892 | [
"MIT"
] | 2 | 2015-04-26T15:31:40.000Z | 2017-09-12T12:36:14.000Z | #exclude
import condiment; condiment.install()
#endexclude
if WITH_TIMEBOMB:
timebomb = int(WITH_TIMEBOMB)
print 'timebomb feature is activated, and set to', timebomb
if WITH_INAPP_PURCHASE:
print 'inapp purchase feature is activated'
if WITH_TIMEBOMB and WITH_INAPP_PURCHASE:
print 'both features hav... | 24.142857 | 63 | 0.775148 |
b78d491f7594796538d954c219bf7266a1779707 | 1,096 | py | Python | tests/init.py | touqir14/Emergent | 0782e1304702f3c95092953ce5da1d8ed69bbe6f | [
"MIT"
] | null | null | null | tests/init.py | touqir14/Emergent | 0782e1304702f3c95092953ce5da1d8ed69bbe6f | [
"MIT"
] | null | null | null | tests/init.py | touqir14/Emergent | 0782e1304702f3c95092953ce5da1d8ed69bbe6f | [
"MIT"
] | null | null | null | import pathlib
import os
import sys
from multiprocessing import resource_tracker
modify_resource_tracker()
add_Emergent_paths()
| 27.4 | 106 | 0.718978 |
b78f243f121a8fb7c7eb83f7fd3d5745810817b9 | 12,586 | py | Python | data-processor/modules/wikia_handler.py | stephanietuerk/art-history-jobs | d10718ce7c8eb591cea9808945d01a2273425a58 | [
"MIT"
] | null | null | null | data-processor/modules/wikia_handler.py | stephanietuerk/art-history-jobs | d10718ce7c8eb591cea9808945d01a2273425a58 | [
"MIT"
] | null | null | null | data-processor/modules/wikia_handler.py | stephanietuerk/art-history-jobs | d10718ce7c8eb591cea9808945d01a2273425a58 | [
"MIT"
] | null | null | null | import csv
import re
import unicodedata
import bs4
import wikia
from modules import utils
from modules.config import Config
| 44.161404 | 245 | 0.571667 |
b78f91bde4f8867fdadaaee058845f1ee62f598c | 3,949 | py | Python | ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py | anoop1984/python_sdk | c4a226bad5e10ad233eda62bc8f6d66a5a82b651 | [
"Apache-2.0"
] | null | null | null | ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py | anoop1984/python_sdk | c4a226bad5e10ad233eda62bc8f6d66a5a82b651 | [
"Apache-2.0"
] | null | null | null | ucsmsdk/mometa/cimcvmedia/CimcvmediaExtMgmtRuleEntry.py | anoop1984/python_sdk | c4a226bad5e10ad233eda62bc8f6d66a5a82b651 | [
"Apache-2.0"
] | null | null | null | """This module contains the general information for CimcvmediaExtMgmtRuleEntry ManagedObject."""
import sys, os
from ...ucsmo import ManagedObject
from ...ucscoremeta import UcsVersion, MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
| 58.940299 | 248 | 0.66042 |
b78fac6287214282885abd8ffbebb076e0bdd37a | 3,672 | py | Python | paddlescience/pde/pde_navier_stokes.py | juneweng/PaddleScience | f30ce908b6fbec2403936007d12d9701f74fd00e | [
"Apache-2.0"
] | null | null | null | paddlescience/pde/pde_navier_stokes.py | juneweng/PaddleScience | f30ce908b6fbec2403936007d12d9701f74fd00e | [
"Apache-2.0"
] | null | null | null | paddlescience/pde/pde_navier_stokes.py | juneweng/PaddleScience | f30ce908b6fbec2403936007d12d9701f74fd00e | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 40.351648 | 223 | 0.510349 |
b7907344916d1e840e9f663cfdac58234f01e739 | 327 | py | Python | tests/strict/it_mod_double_fun.py | Euromance/pycopy | 540cfcc52d17667a5f6b2a176427cc031029b78f | [
"MIT"
] | 663 | 2018-12-30T00:17:59.000Z | 2022-03-14T05:03:41.000Z | tests/strict/it_mod_double_fun.py | Euromance/pycopy | 540cfcc52d17667a5f6b2a176427cc031029b78f | [
"MIT"
] | 41 | 2019-06-06T08:31:19.000Z | 2022-02-13T16:53:41.000Z | tests/strict/it_mod_double_fun.py | Euromance/pycopy | 540cfcc52d17667a5f6b2a176427cc031029b78f | [
"MIT"
] | 60 | 2019-06-01T04:25:00.000Z | 2022-02-25T01:47:31.000Z | import mod
try:
mod.foo = foo
except RuntimeError:
print("RuntimeError1")
print(mod.foo())
try:
mod.foo = 1
except RuntimeError:
print("RuntimeError2")
print(mod.foo)
try:
mod.foo = 2
except RuntimeError:
print("RuntimeError3")
print(mod.foo)
| 10.21875 | 26 | 0.642202 |
b791735533ee827f9ea58cc60b007fcd8bb18dbd | 2,295 | py | Python | LungCancer.py | SpiroGanas/Lung-Cancer-Machine-Learning | 4e38b3df9b560194f67ab03e9aaefad6c84216db | [
"MIT"
] | 1 | 2019-04-28T02:25:32.000Z | 2019-04-28T02:25:32.000Z | LungCancer.py | SpiroGanas/Lung-Cancer-Machine-Learning | 4e38b3df9b560194f67ab03e9aaefad6c84216db | [
"MIT"
] | null | null | null | LungCancer.py | SpiroGanas/Lung-Cancer-Machine-Learning | 4e38b3df9b560194f67ab03e9aaefad6c84216db | [
"MIT"
] | null | null | null | # Spiro Ganas
# 9/27/17
#
# Python 3 script to
######### NOTES ########################################
# 1. Each "slice" is a 512x512 image, stored in a single .dcm file.
# 2. A 3-dimensional CT Scan consists of between 94 and 541 slices (according to the Stage 1 data).
# 3. We need to rescale all the CT scans so... | 27.650602 | 127 | 0.662309 |
b791ac3d3021c73d2b06aeec225eba82f7ecf599 | 852 | py | Python | setup.py | LEGO-Robotics/aistorms | abfb6b978215507d331d9ade764310ee9d8c9448 | [
"MIT"
] | 1 | 2020-06-06T22:47:09.000Z | 2020-06-06T22:47:09.000Z | setup.py | AntoniLuongPham/LEGO-Mindstorms-AI | abfb6b978215507d331d9ade764310ee9d8c9448 | [
"MIT"
] | null | null | null | setup.py | AntoniLuongPham/LEGO-Mindstorms-AI | abfb6b978215507d331d9ade764310ee9d8c9448 | [
"MIT"
] | 1 | 2020-06-08T15:53:42.000Z | 2020-06-08T15:53:42.000Z | import json
import os
from setuptools import find_packages, setup
PACKAGE_NAMESPACE_NAME = 'aistorms'
METADATA_FILE_NAME = 'metadata.json'
REQUIREMENTS_FILE_NAME = 'requirements.txt'
_metadata = \
json.load(
open(os.path.join(
os.path.dirname(__file__),
PACKAGE_NAMESPAC... | 24.342857 | 60 | 0.676056 |
b791e622824560b49e99db6ea638309e033920f8 | 3,357 | py | Python | scripts/merge.py | jgonzalezdemendibil/movie_publisher | 0e58cb616e6e6c2c5cac7cb5016e0874c0409b42 | [
"BSD-3-Clause"
] | null | null | null | scripts/merge.py | jgonzalezdemendibil/movie_publisher | 0e58cb616e6e6c2c5cac7cb5016e0874c0409b42 | [
"BSD-3-Clause"
] | null | null | null | scripts/merge.py | jgonzalezdemendibil/movie_publisher | 0e58cb616e6e6c2c5cac7cb5016e0874c0409b42 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# Copied from https://raw.githubusercontent.com/srv/srv_tools/kinetic/bag_tools/scripts/merge.py since this script is
# not released for indigo.
"""
Copyright (c) 2015,
Enrique Fernandez Perdomo
Clearpath Robotics, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or w... | 42.493671 | 117 | 0.739053 |
b7925483ba95f2bb530529066114343ba1164af4 | 1,567 | py | Python | src/pyforest/auto_import.py | tnwei/pyforest | 73b36298e8cbce9a861c13c01509e34f0e3397fe | [
"MIT"
] | 1,002 | 2019-08-13T15:00:39.000Z | 2022-03-29T19:14:41.000Z | src/pyforest/auto_import.py | tnwei/pyforest | 73b36298e8cbce9a861c13c01509e34f0e3397fe | [
"MIT"
] | 40 | 2019-08-13T19:17:49.000Z | 2022-02-14T08:46:09.000Z | src/pyforest/auto_import.py | tnwei/pyforest | 73b36298e8cbce9a861c13c01509e34f0e3397fe | [
"MIT"
] | 202 | 2019-08-13T19:37:25.000Z | 2022-03-21T20:05:27.000Z | from pathlib import Path
IPYTHON_STARTUP_FOLDER = Path.home() / ".ipython" / "profile_default" / "startup"
STARTUP_FILE = IPYTHON_STARTUP_FOLDER / "pyforest_autoimport.py"
| 31.34 | 137 | 0.699426 |
b7936727533c1b6e64a5988a2f89fc499bcee832 | 23,430 | py | Python | tests/torch/pruning/test_model_pruning_analysis.py | sarthakpati/nncf | 29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac | [
"Apache-2.0"
] | null | null | null | tests/torch/pruning/test_model_pruning_analysis.py | sarthakpati/nncf | 29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac | [
"Apache-2.0"
] | 1 | 2021-07-23T07:46:52.000Z | 2021-07-23T07:46:52.000Z | tests/torch/pruning/test_model_pruning_analysis.py | sarthakpati/nncf | 29ad62c664c1dd53b3c8c50fc001a1b36bd1e8ac | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writin... | 51.721854 | 119 | 0.660606 |
b7937e5f465626651bc0a037a47d5bc1cfd62cdf | 261 | py | Python | tests/future_division_eval.py | mayl8822/onelinerizer | bad341f261d35e56872b4c22297a44dc6d5cfab3 | [
"MIT"
] | 1,062 | 2015-11-18T01:04:33.000Z | 2022-03-29T07:13:30.000Z | tests/future_division_eval.py | CoDeRgAnEsh/1line | 507ef35b0006fc2998463dee92c2fdae53fe0694 | [
"MIT"
] | 26 | 2015-11-17T06:58:07.000Z | 2022-01-15T18:11:16.000Z | tests/future_division_eval.py | CoDeRgAnEsh/1line | 507ef35b0006fc2998463dee92c2fdae53fe0694 | [
"MIT"
] | 100 | 2015-11-17T09:01:22.000Z | 2021-09-12T13:58:28.000Z | from __future__ import division
print eval('1/2')
exec('print 1/2')
eval(compile('print 1/2', 'wat.py', 'exec'))
print eval(compile('1/2', 'wat.py', 'eval'))
print eval(compile('1/2', 'wat.py', 'eval', 0, 0))
print eval(compile('1/2', 'wat.py', 'eval', 0, ~0))
| 32.625 | 51 | 0.62069 |
b7939b77631def2ec27e1370419a519e33e2db7a | 180 | py | Python | matchms/similarity/spec2vec/__init__.py | fossabot/matchms | 090db31b22829dc224e5ed78fb4901e8c14a8e92 | [
"Apache-2.0"
] | null | null | null | matchms/similarity/spec2vec/__init__.py | fossabot/matchms | 090db31b22829dc224e5ed78fb4901e8c14a8e92 | [
"Apache-2.0"
] | null | null | null | matchms/similarity/spec2vec/__init__.py | fossabot/matchms | 090db31b22829dc224e5ed78fb4901e8c14a8e92 | [
"Apache-2.0"
] | null | null | null | from .Document import Document
from .SpectrumDocument import SpectrumDocument
from .Spec2Vec import Spec2Vec
__all__ = [
"Document",
"SpectrumDocument",
"Spec2Vec"
]
| 16.363636 | 46 | 0.738889 |
b794d1e8ea63cc3bf3146f5e45ab36528d92826b | 22,826 | py | Python | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_wanphy_ui_oper.py | tkamata-test/ydk-py | b637e7853a8edbbd31fbc05afa3aa4110b31c5f9 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | """ Cisco_IOS_XR_wanphy_ui_oper
This module contains a collection of YANG definitions
for Cisco IOS\-XR wanphy\-ui package operational data.
This module contains definitions
for the following management objects\:
wanphy\: WANPHY operational data
Copyright (c) 2013\-2016 by Cisco Systems, Inc.
All rights reserved.... | 30.434667 | 293 | 0.423596 |
b79500b1906f3f8e77f736bcb5d3e403aa5d9a7d | 773 | py | Python | test/unit/solver/test_lamb.py | megvii-research/basecls | 6b395a0a888370b4523764afb78a5a7634a3f6cd | [
"Apache-2.0"
] | 23 | 2021-12-08T02:35:01.000Z | 2022-03-16T02:23:19.000Z | test/unit/solver/test_lamb.py | megvii-research/basecls | 6b395a0a888370b4523764afb78a5a7634a3f6cd | [
"Apache-2.0"
] | 4 | 2021-12-23T11:31:17.000Z | 2022-02-28T01:35:31.000Z | test/unit/solver/test_lamb.py | megvii-research/basecls | 6b395a0a888370b4523764afb78a5a7634a3f6cd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
import megengine as mge
import numpy as np
import pytest
from megengine.autodiff import GradManager
from basecls.solver.optimizer import LAMB
| 26.655172 | 67 | 0.633894 |
b7961cc47beaac8f9cce44564f475f951b32b24b | 2,180 | py | Python | onenote-dump/__main__.py | genericmoniker/onenote-dump | 78b2ee2dcf854f6bc989d3081f42c97f245e49cc | [
"MIT"
] | 39 | 2019-07-17T06:08:56.000Z | 2022-03-22T09:48:58.000Z | onenote-dump/__main__.py | nicknickel/onenote-dump | 84607f89f8c14c51796ab660dc0e741af3ccf55c | [
"MIT"
] | 5 | 2020-07-02T02:44:38.000Z | 2021-11-11T18:16:13.000Z | onenote-dump/__main__.py | nicknickel/onenote-dump | 84607f89f8c14c51796ab660dc0e741af3ccf55c | [
"MIT"
] | 6 | 2020-11-01T12:46:56.000Z | 2022-01-12T22:24:50.000Z | import argparse
import logging
import os
import pathlib
import time
import log
import onenote_auth
import onenote
import pipeline
logger = logging.getLogger()
main()
| 27.25 | 76 | 0.624771 |
b7971aac602f7d60f9d06ecc4d523b5988cef546 | 10,391 | py | Python | venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | 7 | 2021-11-16T04:05:42.000Z | 2022-02-19T21:14:29.000Z | venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | 1 | 2022-03-12T02:25:26.000Z | 2022-03-12T02:25:26.000Z | venv/lib/python3.8/site-packages/ansible_collections/community/aws/tests/unit/plugins/modules/test_data_pipeline.py | saeedya/docker-ansible | 6fb0cfc6bc4a5925b21380952a5a4502ec02119a | [
"Apache-2.0"
] | 1 | 2022-03-01T05:43:07.000Z | 2022-03-01T05:43:07.000Z | # (c) 2017 Red Hat Inc.
#
# This file is part of Ansible
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import collections
import os
import json
import p... | 40.909449 | 128 | 0.698008 |
b7977b33c0e4a7ba789fa84d50fd2df4ed4339db | 3,433 | py | Python | Janela/Cadastro_clientes/Clientes.py | marcosj046/Treinando-Python-Tkinter | 7b88a6b6afba46e6c013b65b952723047c173901 | [
"MIT"
] | null | null | null | Janela/Cadastro_clientes/Clientes.py | marcosj046/Treinando-Python-Tkinter | 7b88a6b6afba46e6c013b65b952723047c173901 | [
"MIT"
] | null | null | null | Janela/Cadastro_clientes/Clientes.py | marcosj046/Treinando-Python-Tkinter | 7b88a6b6afba46e6c013b65b952723047c173901 | [
"MIT"
] | null | null | null | import sqlite3
import tkinter as tk
import pandas as pd
#----------------------------------------------
#Para criao do banco de dados retira o comentrio (#) da linha 9 23 somente a primeira vez que rodar o cd,
#depois, basta comentar novamente.
#Criando o Banco de Dados
# conexao = sqlite3.connect('Clientes.db')
#
#... | 33.990099 | 171 | 0.669677 |
b79823a97f320a9bd4990bfd614e964f079da76e | 14,382 | py | Python | pygitbucket/client.py | SimiCode/pygitbucket | 46a22fcc0292231905eb4e0e2da47f8a85743bbd | [
"MIT"
] | 1 | 2021-07-04T19:45:05.000Z | 2021-07-04T19:45:05.000Z | pygitbucket/client.py | SimiCode/pygitbucket | 46a22fcc0292231905eb4e0e2da47f8a85743bbd | [
"MIT"
] | null | null | null | pygitbucket/client.py | SimiCode/pygitbucket | 46a22fcc0292231905eb4e0e2da47f8a85743bbd | [
"MIT"
] | null | null | null | import math
import requests
from pygitbucket.exceptions import (
UnknownError,
InvalidIDError,
NotFoundIDError,
NotAuthenticatedError,
PermissionError,
)
| 28.821643 | 117 | 0.578779 |
b79836d2b12f5a44dd3688e75af8cc0da3616913 | 3,982 | py | Python | egg/zoo/basic_games/data_readers.py | renata-nerenata/EGG | b8532efc3569defabeba6851986cecb0c6640984 | [
"MIT"
] | 1 | 2021-05-26T14:23:25.000Z | 2021-05-26T14:23:25.000Z | egg/zoo/basic_games/data_readers.py | renata-nerenata/EGG | b8532efc3569defabeba6851986cecb0c6640984 | [
"MIT"
] | 1 | 2019-10-31T16:21:01.000Z | 2019-10-31T16:21:01.000Z | egg/zoo/basic_games/data_readers.py | renata-nerenata/EGG | b8532efc3569defabeba6851986cecb0c6640984 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch.utils.data import Dataset
import numpy as np
# These input-data-processing classes take input data from a text file an... | 45.770115 | 106 | 0.678805 |
b798b33e304086ef9c7efe2c716e2e87dfcb993a | 3,594 | py | Python | viroconcom/read_write.py | adrdrew/viroconcom | 3eb748ba8e3e076eddd174a0fcdfee3917aa4045 | [
"MIT"
] | null | null | null | viroconcom/read_write.py | adrdrew/viroconcom | 3eb748ba8e3e076eddd174a0fcdfee3917aa4045 | [
"MIT"
] | 1 | 2020-05-18T11:06:28.000Z | 2020-05-18T11:06:28.000Z | viroconcom/read_write.py | adrdrew/viroconcom | 3eb748ba8e3e076eddd174a0fcdfee3917aa4045 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Reads datasets, reads and writes contour coordinates.
"""
import numpy as np
import csv
def read_ecbenchmark_dataset(path='datasets/1year_dataset_A.txt'):
"""
Reads a 2D dataset that uses a an ASCI format with ';' as a seperator.
This format... | 31.526316 | 107 | 0.574012 |
b798e6d01b3ed050802b1fbfc6ef1f267c2dd36a | 601 | py | Python | check_python_install/check_numba.py | sdpython/_check_python_install | 06a34e3b8559370c8c41b655ed2acc72c7f1bf34 | [
"MIT"
] | null | null | null | check_python_install/check_numba.py | sdpython/_check_python_install | 06a34e3b8559370c8c41b655ed2acc72c7f1bf34 | [
"MIT"
] | 2 | 2019-11-07T18:11:18.000Z | 2021-01-02T11:49:38.000Z | check_python_install/check_numba.py | sdpython/_check_python_install | 06a34e3b8559370c8c41b655ed2acc72c7f1bf34 | [
"MIT"
] | null | null | null | """
@file
@brief Test for :epkg:`cartopy`.
"""
import numpy
import numba
def check_numba():
"""
Runs a sample with :epkg:`numba`.
"""
Y = numpy.random.rand(10).astype(numpy.double)
X = numpy.random.rand(10, 2).astype(numpy.double)
w = numpy.random.rand(2).astype(numpy.double)
return logis... | 24.04 | 86 | 0.62396 |
b799cded976768ac0fb3f24b3d043843412ec29f | 4,056 | py | Python | Round 3/fence_design.py | e-ntro-py/GoogleCodeJam-2021 | c42283480fa20a853c6d31d5faf0e83c6ad0f5f7 | [
"MIT"
] | 30 | 2021-03-27T20:18:15.000Z | 2022-03-19T06:18:58.000Z | Round 3/fence_design.py | e-ntro-py/GoogleCodeJam-2021 | c42283480fa20a853c6d31d5faf0e83c6ad0f5f7 | [
"MIT"
] | 1 | 2021-05-24T19:14:29.000Z | 2021-05-25T04:14:10.000Z | Round 3/fence_design.py | e-ntro-py/GoogleCodeJam-2021 | c42283480fa20a853c6d31d5faf0e83c6ad0f5f7 | [
"MIT"
] | 7 | 2021-03-28T12:38:55.000Z | 2021-09-19T15:30:39.000Z | # Copyright (c) 2021 kamyu. All rights reserved.
#
# Google Code Jam 2021 Round 3 - Problem C. Fence Design
# https://codingcompetitions.withgoogle.com/codejam/round/0000000000436142/0000000000813bc7
#
# Time: O(NlogN) on average, pass in PyPy2 but Python2
# Space: O(N)
#
from random import seed, randint
# Compute t... | 38.264151 | 115 | 0.554487 |
b79b05e86bdffa34c0cb47c7868d179ea550149c | 50,505 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/_block.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/_block.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/_block.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.11
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (2,6,0):
__block = swig_import_helper()
del swig_import_... | 41.161369 | 90 | 0.825542 |
b79b4b3441162b8ce9025428d639fcec36693cf3 | 42 | py | Python | tests/__init__.py | chasefinch/amp-renderer | a226140d8a8a6f8c21c073e394b672cf75c8671e | [
"Apache-2.0"
] | 13 | 2020-08-19T18:37:01.000Z | 2021-12-10T17:33:14.000Z | tests/__init__.py | chasefinch/amp-renderer | a226140d8a8a6f8c21c073e394b672cf75c8671e | [
"Apache-2.0"
] | 5 | 2020-08-24T18:31:12.000Z | 2022-02-07T17:36:59.000Z | tests/__init__.py | chasefinch/amp-renderer | a226140d8a8a6f8c21c073e394b672cf75c8671e | [
"Apache-2.0"
] | null | null | null | """Tests for the AMP Renderer project."""
| 21 | 41 | 0.690476 |
b79c02ce02e6d31db2455c7ba97e981d1dda98d5 | 3,564 | py | Python | sudoku/sudoku.py | Ostap2003/backtracking-team-project | 2a6fb2fc80dcdd286c76dbc3b546baf452098d98 | [
"MIT"
] | null | null | null | sudoku/sudoku.py | Ostap2003/backtracking-team-project | 2a6fb2fc80dcdd286c76dbc3b546baf452098d98 | [
"MIT"
] | null | null | null | sudoku/sudoku.py | Ostap2003/backtracking-team-project | 2a6fb2fc80dcdd286c76dbc3b546baf452098d98 | [
"MIT"
] | null | null | null |
from pprint import pprint
'''The module has class Grid for solving sudoku.
Grid should be given as a list of integers or a path to a file.
'''
# grid = [ [3, 0, 6, 5, 0, 8, 4, 0, 0],
# [5, 2, 0, 0, 0, 0, 0, 0, 0],
# [0, 8, 7, 0, 0, 0, 0, 3, 1],
# [0, 0, 3, 0, 1, 0, 0, 8, 0],
# ... | 28.741935 | 81 | 0.45679 |
b79f4a64c362393fd37c99b135489a7797ae3252 | 1,421 | py | Python | device_e2e/sync/test_sync_c2d.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"MIT"
] | null | null | null | device_e2e/sync/test_sync_c2d.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"MIT"
] | null | null | null | device_e2e/sync/test_sync_c2d.py | dt-boringtao/azure-iot-sdk-python | 35a09679bdf4d7a727391b265a8f1fbb99a30c45 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
import pytest
import logging
import json
import threading
from utils import get_random_dict
logger = logging.getLogger(__name__)
logger.setLevel(level=logging.INF... | 30.891304 | 93 | 0.713582 |
b79f9124d587b0b999491249d4952350ec3b140e | 6,588 | py | Python | addons/mixer/blender_data/tests/test_bpy_blend_diff.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | addons/mixer/blender_data/tests/test_bpy_blend_diff.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | addons/mixer/blender_data/tests/test_bpy_blend_diff.py | trisadmeslek/V-Sekai-Blender-tools | 0d8747387c58584b50c69c61ba50a881319114f8 | [
"MIT"
] | null | null | null | # GPLv3 License
#
# Copyright (C) 2020 Ubisoft
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is dis... | 41.961783 | 120 | 0.622495 |
b7a030be152f3c0e93089efb532b4fde2f3761dd | 17,258 | py | Python | dependencies/svgwrite/examples/ltattrie/tiling_part_5.py | charlesmchen/typefacet | 8c6db26d0c599ece16f3704696811275120a4044 | [
"Apache-2.0"
] | 21 | 2015-01-16T05:10:02.000Z | 2021-06-11T20:48:15.000Z | dependencies/svgwrite/examples/ltattrie/tiling_part_5.py | charlesmchen/typefacet | 8c6db26d0c599ece16f3704696811275120a4044 | [
"Apache-2.0"
] | 1 | 2019-09-09T12:10:27.000Z | 2020-05-22T10:12:14.000Z | dependencies/svgwrite/examples/ltattrie/tiling_part_5.py | charlesmchen/typefacet | 8c6db26d0c599ece16f3704696811275120a4044 | [
"Apache-2.0"
] | 2 | 2015-05-03T04:51:08.000Z | 2018-08-24T08:28:53.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import math, sys
import svgwrite
#
# http://www.w3.org/TR/SVG11/struct.html#UseElement
#
# For more information on tesselation / tiling see http://en.wikipedia.org/wiki/Wallpaper_group
# The organization of these tilings are from the interesting book
# Designing Te... | 51.825826 | 137 | 0.670877 |
b7a3ac719d785e13f7265ad9a05f4b664dd99826 | 3,685 | py | Python | MIssions_to_Mars/scrape_mars_mission.py | pwickliff1/web-scraping-challenge | 56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6 | [
"ADSL"
] | null | null | null | MIssions_to_Mars/scrape_mars_mission.py | pwickliff1/web-scraping-challenge | 56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6 | [
"ADSL"
] | null | null | null | MIssions_to_Mars/scrape_mars_mission.py | pwickliff1/web-scraping-challenge | 56e2b5e6905c17fce762aeb2ae1ad8cb0f48f8d6 | [
"ADSL"
] | null | null | null | # Dependencies
from bs4 import BeautifulSoup
import requests
import re
import pandas as pd
| 35.095238 | 172 | 0.686567 |
b7a7160ec0048a1f0be91a335c4abd54fb69fa8b | 10,165 | py | Python | guiapp/meditech_nls_parser/old/meditech_nls_to_xml.py | gcampuzano14/PathISTabs | ae29a0b71647ecb32fc40e234b5c7276ab5333d9 | [
"MIT"
] | 1 | 2017-07-28T14:01:32.000Z | 2017-07-28T14:01:32.000Z | guiapp/meditech_nls_parser/old/meditech_nls_to_xml.py | gcampuzano14/PathISTabs | ae29a0b71647ecb32fc40e234b5c7276ab5333d9 | [
"MIT"
] | null | null | null | guiapp/meditech_nls_parser/old/meditech_nls_to_xml.py | gcampuzano14/PathISTabs | ae29a0b71647ecb32fc40e234b5c7276ab5333d9 | [
"MIT"
] | 1 | 2019-02-14T06:07:24.000Z | 2019-02-14T06:07:24.000Z | #!/usr/bin/env python
import os
import re
import csv
# with open(outxml, "r") as out:
# t = out.read()
# with open(outxml, "w") as out:
# u = t.encode('latin1','xmlcharrefreplace').decode('utf8','xmlcharrefreplace')
# u = u.decode("utf-8").replace(u"\u2022", "*").u.encode("utf-8")
... | 50.073892 | 174 | 0.52789 |
b7a7213417448a10f646593e2af28f99d94c2f47 | 3,144 | py | Python | paper_plots/small_vs_large_box.py | finn-dodgson/DeepHalos | 86e0ac6c24ac97a0a2a0a60a7ea3721a04bd050c | [
"MIT"
] | null | null | null | paper_plots/small_vs_large_box.py | finn-dodgson/DeepHalos | 86e0ac6c24ac97a0a2a0a60a7ea3721a04bd050c | [
"MIT"
] | null | null | null | paper_plots/small_vs_large_box.py | finn-dodgson/DeepHalos | 86e0ac6c24ac97a0a2a0a60a7ea3721a04bd050c | [
"MIT"
] | null | null | null | import numpy as np
from plots import plots_for_predictions as pp
from utilss import distinct_colours as dc
import matplotlib.pyplot as plt
c = dc.get_distinct(4)
path = '/Users/luisals/Documents/deep_halos_files/mass_range_13.4/random_20sims_200k/lr5e-5/'
p1 = np.load(path + "seed_20/predicted_sim_6_epoch_09.npy")
t1... | 60.461538 | 126 | 0.699746 |
b7a964ee74b74803fefa91500045e19a16c2244a | 85,945 | py | Python | regions.py | greggy/python-ipgeobase | 593e4dc7e55e0c90a1979e586f03c013f6ac057a | [
"BSD-3-Clause"
] | 1 | 2017-11-12T11:26:25.000Z | 2017-11-12T11:26:25.000Z | regions.py | greggy/python-ipgeobase | 593e4dc7e55e0c90a1979e586f03c013f6ac057a | [
"BSD-3-Clause"
] | null | null | null | regions.py | greggy/python-ipgeobase | 593e4dc7e55e0c90a1979e586f03c013f6ac057a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
REGIONS = {'USRI': 'Rhode Island', 'UY02': 'Canelones', 'KR21': 'Ulsan-gwangyoksi', 'KR20': 'Kyongsang-namdo', 'KM02': 'Grande Comore', 'KM03': 'Moheli', 'CO22': 'Putumayo', 'BN18': 'Zou', 'BN17': 'Plateau', 'BN16': 'Oueme', 'BN15': 'Tutong', 'BN14': 'Littoral', 'BN13': 'Donga', 'BN12': 'Kouffo... | 21,486.25 | 85,919 | 0.602339 |
b7a9d3a60ea32292f1f1a315f0e465e4cf861159 | 236 | py | Python | configs/semantic_guided/CE.py | hukkelas/full_body_anonymization | c61745b137c84ffb742ef6ab2f4721db4acf22b7 | [
"MIT"
] | 27 | 2022-01-06T20:15:24.000Z | 2022-03-29T11:54:49.000Z | configs/semantic_guided/CE.py | hukkelas/full_body_anonymization | c61745b137c84ffb742ef6ab2f4721db4acf22b7 | [
"MIT"
] | 2 | 2022-03-17T06:04:23.000Z | 2022-03-25T08:50:57.000Z | configs/semantic_guided/CE.py | hukkelas/full_body_anonymization | c61745b137c84ffb742ef6ab2f4721db4acf22b7 | [
"MIT"
] | 2 | 2022-01-07T13:16:59.000Z | 2022-01-16T02:10:50.000Z | _base_config_ = ["base.py"]
generator = dict(
input_cse=True,
use_cse=True
)
discriminator=dict(
pred_only_cse=False,
pred_only_semantic=True
)
loss = dict(
gan_criterion=dict(type="segmentation", seg_weight=.1)
)
| 15.733333 | 58 | 0.699153 |
b7ac37d5a23a4e9b74f4c14b649516c082ec539d | 676 | py | Python | test/compiler/test-encode.py | xupingmao/minipy | 5bce2f238925eb92fe9ff7d935f59ef68daa257a | [
"MIT"
] | 52 | 2016-07-11T10:14:35.000Z | 2021-12-09T09:10:43.000Z | test/compiler/test-encode.py | xupingmao/snake | c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4 | [
"MIT"
] | 13 | 2016-07-24T13:50:37.000Z | 2019-03-02T06:56:18.000Z | test/compiler/test-encode.py | xupingmao/snake | c956f151ed1ebd2faeaf1565352b59ca5a8fa0b4 | [
"MIT"
] | 9 | 2017-01-27T10:46:04.000Z | 2021-12-09T09:10:46.000Z | # -*- coding:utf-8 -*-
# @author xupingmao <578749341@qq.com>
# @since 2020/10/20 00:19:47
# @modified 2020/10/20 00:42:52
import sys
sys.path.append("src/python")
from mp_encode import *
test_compile("assign-number")
test_compile("assign-multi")
test_compile("if-in")
| 25.037037 | 67 | 0.668639 |
b7ad32170df3a150ccda1de3243e006af407c590 | 3,719 | py | Python | paragen/optim/__init__.py | godweiyang/ParaGen | 9665d1244ea38a41fc06b4e0a7f6411985e2221f | [
"Apache-2.0"
] | null | null | null | paragen/optim/__init__.py | godweiyang/ParaGen | 9665d1244ea38a41fc06b4e0a7f6411985e2221f | [
"Apache-2.0"
] | null | null | null | paragen/optim/__init__.py | godweiyang/ParaGen | 9665d1244ea38a41fc06b4e0a7f6411985e2221f | [
"Apache-2.0"
] | null | null | null | from copy import deepcopy
from inspect import getfullargspec
import importlib
import json
import os
import logging
logger = logging.getLogger(__name__)
from torch.optim.optimizer import Optimizer
from paragen.optim.optimizer import Optimizer
from paragen.utils.rate_schedulers import create_rate_scheduler
from paragen... | 35.419048 | 112 | 0.633235 |
b7adb4099781c23875a3639ae37c4e4a5bb88239 | 2,860 | py | Python | joyvillage/joy/views.py | IreneMercy/Joy-Village-Backup | f038e33aa5c28337bc20c6fcd3273ef37d283564 | [
"MIT"
] | null | null | null | joyvillage/joy/views.py | IreneMercy/Joy-Village-Backup | f038e33aa5c28337bc20c6fcd3273ef37d283564 | [
"MIT"
] | 9 | 2021-03-19T09:58:55.000Z | 2022-03-12T00:22:50.000Z | joyvillage/joy/views.py | IreneMercy/Joy-Foundation | f038e33aa5c28337bc20c6fcd3273ef37d283564 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseRedirect
from .models import Events, Gallery, News, Careers, Partners
from django.core.mail import send_mail,BadHeaderError
from django.conf import settings
from.forms import ContactFo... | 29.484536 | 103 | 0.640909 |
b7ae3072a6046637d4bd29d21eabd8d449e98c65 | 274 | py | Python | src/events/admin.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/events/admin.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/events/admin.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | from django.contrib import admin
from django_summernote.admin import SummernoteModelAdmin
from .models import Event, Speaker
admin.site.register(Event, EventAdmin)
admin.site.register(Speaker)
| 22.833333 | 56 | 0.813869 |
b7af3d0ba516d34beefe1df3aa1a2a39558521ee | 318 | py | Python | python/cython_build.py | n1tk/batch_jaro_winkler | 421c7e3a5bedce89e8c00216b90d32d1629073a2 | [
"MIT"
] | 22 | 2020-04-30T17:56:29.000Z | 2022-01-19T21:05:15.000Z | python/cython_build.py | n1tk/batch_jaro_winkler | 421c7e3a5bedce89e8c00216b90d32d1629073a2 | [
"MIT"
] | 2 | 2021-01-19T14:07:22.000Z | 2021-11-24T16:32:46.000Z | python/cython_build.py | n1tk/batch_jaro_winkler | 421c7e3a5bedce89e8c00216b90d32d1629073a2 | [
"MIT"
] | 3 | 2020-10-28T20:56:29.000Z | 2022-02-25T23:29:05.000Z |
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
import sys
python_version = sys.version_info[0]
setup(
name='batch_jaro_winkler',
ext_modules=cythonize([Extension('batch_jaro_winkler', ['cbatch_jaro_winkler.pyx'])], language_level=python_version)
) | 24.461538 | 118 | 0.811321 |
b7afa43603c9767401a62b1a4fe6fc631887605a | 6,647 | py | Python | venv/lib/python3.7/site-packages/google/type/postal_address_pb2.py | nicholasadamou/StockBird | 257396479667863d4ee122ea46adb86087c9aa78 | [
"Apache-2.0"
] | 15 | 2020-06-29T08:33:39.000Z | 2022-02-12T00:28:51.000Z | venv/lib/python3.7/site-packages/google/type/postal_address_pb2.py | nicholasadamou/StockBird | 257396479667863d4ee122ea46adb86087c9aa78 | [
"Apache-2.0"
] | 21 | 2020-03-01T18:21:09.000Z | 2020-05-26T14:49:08.000Z | venv/lib/python3.7/site-packages/google/type/postal_address_pb2.py | nicholasadamou/StockBird | 257396479667863d4ee122ea46adb86087c9aa78 | [
"Apache-2.0"
] | 11 | 2020-06-29T08:40:24.000Z | 2022-02-24T17:39:16.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/type/postal_address.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import r... | 47.141844 | 711 | 0.746352 |
b7aff83ef7243e9bfde2d005caee3accba55ac07 | 612 | py | Python | dataprep/tests/data_connector/test_integration.py | dylanzxc/dataprep | 21ef62936eeec28495763f35fcb3cb07f71de6f6 | [
"MIT"
] | 1 | 2020-12-18T13:16:38.000Z | 2020-12-18T13:16:38.000Z | dataprep/tests/data_connector/test_integration.py | bexxmodd/dataprep | 3aaa626bfaf9270cf56ffb70280cbcd8031f3ac3 | [
"MIT"
] | null | null | null | dataprep/tests/data_connector/test_integration.py | bexxmodd/dataprep | 3aaa626bfaf9270cf56ffb70280cbcd8031f3ac3 | [
"MIT"
] | null | null | null | from ...data_connector import Connector
from os import environ
| 24.48 | 81 | 0.666667 |
b7b0446dcbe64c12f7cc04baa8e64d8c7155c9fb | 6,294 | py | Python | plot_helpers.py | aspuru-guzik-group/QNODE | 1ec3767c7b574eaeb7b0ec05d1be54983f8972bd | [
"MIT"
] | 14 | 2021-11-06T19:32:56.000Z | 2022-02-08T19:53:28.000Z | plot_helpers.py | aspuru-guzik-group/QNODE | 1ec3767c7b574eaeb7b0ec05d1be54983f8972bd | [
"MIT"
] | null | null | null | plot_helpers.py | aspuru-guzik-group/QNODE | 1ec3767c7b574eaeb7b0ec05d1be54983f8972bd | [
"MIT"
] | null | null | null | import os
import torch
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import cm
from qutip import *
import imageio
plt.rcParams['axes.labelsize'] = 16
from matplotlib import rc
rc('font', **{'family': 'serif', 'serif': ['Computer Modern']})
rc('text', usetex=True)
def animate_recon(xt,... | 35.965714 | 167 | 0.58659 |
b7b1005f9392e0dbc05eef28e9be52e84c7d4a58 | 17,348 | py | Python | state.py | Lekensteyn/wgll | 11ac7925687bfc1866d3702f821230233fe3a8de | [
"MIT"
] | 1 | 2021-11-27T17:29:43.000Z | 2021-11-27T17:29:43.000Z | state.py | Lekensteyn/wgll | 11ac7925687bfc1866d3702f821230233fe3a8de | [
"MIT"
] | null | null | null | state.py | Lekensteyn/wgll | 11ac7925687bfc1866d3702f821230233fe3a8de | [
"MIT"
] | null | null | null | # State tracking for WireGuard protocol operations.
# Author: Peter Wu <peter@lekensteyn.nl>
# Licensed under the MIT license <http://opensource.org/licenses/MIT>.
import base64
import hashlib
import inspect
import socket
import traceback
from noise_wg import NoiseWG, crypto_scalarmult_base, aead_encrypt, aead_decryp... | 34.557769 | 85 | 0.606006 |
b7b19fe3229937c45439013a0185385ffb6134b0 | 2,007 | py | Python | BAMF_Detect/modules/dendroid.py | bwall/bamfdetect | 3b0b96a8b2285a1a4b3e3cf5ed1b5ad422b91ed1 | [
"MIT"
] | 152 | 2015-02-04T16:34:53.000Z | 2021-07-27T19:00:40.000Z | BAMF_Detect/modules/dendroid.py | bwall/bamfdetect | 3b0b96a8b2285a1a4b3e3cf5ed1b5ad422b91ed1 | [
"MIT"
] | null | null | null | BAMF_Detect/modules/dendroid.py | bwall/bamfdetect | 3b0b96a8b2285a1a4b3e3cf5ed1b5ad422b91ed1 | [
"MIT"
] | 30 | 2015-03-31T10:20:32.000Z | 2022-02-09T16:17:04.000Z | from common import Modules, data_strings, load_yara_rules, AndroidParseModule, ModuleMetadata
from base64 import b64decode
from string import printable
Modules.list.append(dendroid()) | 33.45 | 119 | 0.521176 |
b7b264987ed766841bcdbbf47f7266aa100f16c2 | 8,942 | py | Python | corehq/ex-submodules/couchforms/tests/test_analytics.py | caktus/commcare-hq | fae9c0f792b4889b768252d3895d9d1884ce0d3b | [
"BSD-3-Clause"
] | null | null | null | corehq/ex-submodules/couchforms/tests/test_analytics.py | caktus/commcare-hq | fae9c0f792b4889b768252d3895d9d1884ce0d3b | [
"BSD-3-Clause"
] | 40 | 2021-07-20T15:55:08.000Z | 2022-03-25T17:21:36.000Z | corehq/ex-submodules/couchforms/tests/test_analytics.py | caktus/commcare-hq | fae9c0f792b4889b768252d3895d9d1884ce0d3b | [
"BSD-3-Clause"
] | null | null | null | import datetime
import uuid
from django.test import TestCase
from mock import patch
from requests import ConnectionError
from couchforms.analytics import (
app_has_been_submitted_to_in_last_30_days,
domain_has_submission_in_last_30_days,
get_all_xmlns_app_id_pairs_submitted_to_in_domain,
get_exports_b... | 40.645455 | 113 | 0.674122 |
b7b2bf3009f886fb399b6a73378d628699d8010a | 462 | py | Python | src/pythae/models/svae/svae_config.py | eknag/benchmark_VAE | 8b727f29a68aff7771c4c97aff15f75f88320e1f | [
"Apache-2.0"
] | 1 | 2022-03-20T20:23:59.000Z | 2022-03-20T20:23:59.000Z | src/pythae/models/svae/svae_config.py | eknag/benchmark_VAE | 8b727f29a68aff7771c4c97aff15f75f88320e1f | [
"Apache-2.0"
] | null | null | null | src/pythae/models/svae/svae_config.py | eknag/benchmark_VAE | 8b727f29a68aff7771c4c97aff15f75f88320e1f | [
"Apache-2.0"
] | null | null | null | from pydantic.dataclasses import dataclass
from ...models import VAEConfig
| 27.176471 | 99 | 0.690476 |
b7b3ac20c4a0978bc24a666dd7cd9ac25c00bc3a | 7,486 | py | Python | amck/imat/download_data.py | aaronmckinstry706/imaterialist | ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1 | [
"MIT"
] | null | null | null | amck/imat/download_data.py | aaronmckinstry706/imaterialist | ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1 | [
"MIT"
] | null | null | null | amck/imat/download_data.py | aaronmckinstry706/imaterialist | ebed3f3bd9e231f0852aa30c7bbfafe94d5dbce1 | [
"MIT"
] | null | null | null | # Parts of code taken from https://www.kaggle.com/aloisiodn/python-3-download-multi-proc-prog-bar-resume by Dourado.
# Improvements on the original script:
# * you can choose which dataset to download;
# * uses threads instead of processes;
# * unpacks data into .../label/id.jpg directory structure, which can be ... | 41.821229 | 118 | 0.716137 |
b7b473cc7728c8bc405a3042f957fe877f0c27c2 | 790 | py | Python | JTP Recap./2.Program_IO/function.py | SNP0301/Study_Python | bb7ce7a0d915131c281152e7faee5b57c290df6b | [
"MIT"
] | null | null | null | JTP Recap./2.Program_IO/function.py | SNP0301/Study_Python | bb7ce7a0d915131c281152e7faee5b57c290df6b | [
"MIT"
] | null | null | null | JTP Recap./2.Program_IO/function.py | SNP0301/Study_Python | bb7ce7a0d915131c281152e7faee5b57c290df6b | [
"MIT"
] | null | null | null | """
Function
def function_name(arg1, arg2, ...) :
<op 1>
<op 2>
...
Function with undefined amount of input
def fn_name(*args) --> args' elements make tuple.
kwargs = Keyword Parameter
>>> def print_kwargs(**kwargs):
... print(kwargs)
...
>>> print_kwargs(a=1)
{... | 22.571429 | 72 | 0.596203 |
b7b56be6d7b0d5e174db26b106b5f7914f624c31 | 2,437 | py | Python | tweet/common.py | skiwheelr/URS | 45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93 | [
"MIT"
] | 4 | 2021-02-15T02:02:38.000Z | 2022-03-04T16:38:44.000Z | tweet/common.py | skiwheelr/URS | 45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93 | [
"MIT"
] | null | null | null | tweet/common.py | skiwheelr/URS | 45746c945af2ea62a5ddb675c6a8e4e2fe4b5a93 | [
"MIT"
] | 2 | 2021-02-11T01:10:27.000Z | 2021-02-25T19:20:04.000Z | all
import tweepy, config, users, re, groupy
from tweepy import OAuthHandler
from tweepy import API
print(tweepy.__version__)
auth = OAuthHandler(config.consumer_key, config.consumer_secret)
auth.set_access_token(config.access_token,config.access_token_secret)
api = tweepy.API(auth)
from groupy.client import Client
cli... | 33.847222 | 120 | 0.636849 |
b7b6119291ad7a11b8a2999460f70e3f10db60c8 | 8,486 | py | Python | crystalpy/examples/PlotData1D.py | oasys-kit/crystalpy | 4852851c622ef914844178577dea4075e92cd8dd | [
"MIT"
] | null | null | null | crystalpy/examples/PlotData1D.py | oasys-kit/crystalpy | 4852851c622ef914844178577dea4075e92cd8dd | [
"MIT"
] | null | null | null | crystalpy/examples/PlotData1D.py | oasys-kit/crystalpy | 4852851c622ef914844178577dea4075e92cd8dd | [
"MIT"
] | null | null | null | """
---OK---
"""
from collections import OrderedDict
import copy
import numpy as np
from crystalpy.examples.Values import Interval
| 32.389313 | 111 | 0.582371 |
b7b6ad2f30eeeef89f8be32e1b423aba5b40b98c | 51 | py | Python | src/deep_dialog/usersims/__init__.py | Yuqing2018/tcbot_python3 | 583ce1b670f7c67669ff437e69eb09832e784da6 | [
"MIT"
] | null | null | null | src/deep_dialog/usersims/__init__.py | Yuqing2018/tcbot_python3 | 583ce1b670f7c67669ff437e69eb09832e784da6 | [
"MIT"
] | null | null | null | src/deep_dialog/usersims/__init__.py | Yuqing2018/tcbot_python3 | 583ce1b670f7c67669ff437e69eb09832e784da6 | [
"MIT"
] | null | null | null | from .usersim_rule import *
from .realUser import * | 25.5 | 27 | 0.784314 |
b7b6cb22cdbe422b0a500a1606789a7d83af799b | 38,534 | py | Python | hs_file_types/models/geofeature.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | null | null | null | hs_file_types/models/geofeature.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | null | null | null | hs_file_types/models/geofeature.py | tommac7/hydroshare | 87c4543a55f98103d2614bf4c47f7904c3f9c029 | [
"BSD-3-Clause"
] | null | null | null | import os
import logging
import shutil
import zipfile
import xmltodict
from lxml import etree
from osgeo import ogr, osr
from django.core.exceptions import ValidationError
from django.db import models, transaction
from django.utils.html import strip_tags
from django.template import Template, Context
from dominate.ta... | 44.547977 | 100 | 0.61338 |
b7b9397bbe8da7007b207fc6a20f4e6b29704b5a | 1,313 | py | Python | tests/test_node.py | mjholtkamp/py-iptree | 97025f03247dbc91424898fd28f7be1448d5fce5 | [
"Apache-2.0"
] | null | null | null | tests/test_node.py | mjholtkamp/py-iptree | 97025f03247dbc91424898fd28f7be1448d5fce5 | [
"Apache-2.0"
] | null | null | null | tests/test_node.py | mjholtkamp/py-iptree | 97025f03247dbc91424898fd28f7be1448d5fce5 | [
"Apache-2.0"
] | null | null | null | import unittest
from iptree import IPNode
| 28.543478 | 62 | 0.552932 |
b7b981be89ff3733793d9540e9d6338ff12dd2df | 208 | py | Python | Codewars/8kyu/invert-values/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/8kyu/invert-values/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/8kyu/invert-values/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 3.4.3
Test.it('Basic Tests')
Test.assert_equals(invert([1, 2, 3, 4, 5]), [-1, -2, -3, -4, -5])
Test.assert_equals(invert([1, -2, 3, -4, 5]), [-1, 2, -3, 4, -5])
Test.assert_equals(invert([]), [])
| 29.714286 | 65 | 0.548077 |
b7ba3cc002a49b7880bf396084b5e2214c7d5cdf | 1,239 | py | Python | locustfile_create_order.py | Ashutosh-Kaushik/ss-load-test-locust | 286e3cecad39f5ce991717e117392332a9810d64 | [
"Apache-2.0"
] | 1 | 2022-03-31T05:34:33.000Z | 2022-03-31T05:34:33.000Z | locustfile_create_order.py | Ashutosh-Kaushik/ss-load-test-locust | 286e3cecad39f5ce991717e117392332a9810d64 | [
"Apache-2.0"
] | null | null | null | locustfile_create_order.py | Ashutosh-Kaushik/ss-load-test-locust | 286e3cecad39f5ce991717e117392332a9810d64 | [
"Apache-2.0"
] | null | null | null | import csv
import random
import warnings
import os
from locust import HttpUser, task, between
body = {
"campaignid":"5kXk20gGDISJdM5el5IT",
"walletamount":"0"
}
header = {
"Host": "fkhapi.sastasundar.com",
"Apptype": "N",
"Appversion": "4.0.4",
"Appversioncode": "109",
"Deviceid": "81653d... | 25.8125 | 88 | 0.637611 |
b7bae45b9bc9f5897fbcca4960ef6f0a8e4b7699 | 1,358 | py | Python | compy/plot/grid.py | tilleyd/compy | b63188341d0c66c0ecd810e29918e569c519b296 | [
"MIT"
] | null | null | null | compy/plot/grid.py | tilleyd/compy | b63188341d0c66c0ecd810e29918e569c519b296 | [
"MIT"
] | null | null | null | compy/plot/grid.py | tilleyd/compy | b63188341d0c66c0ecd810e29918e569c519b296 | [
"MIT"
] | null | null | null | """Contains the grid class to create multiple figures."""
from typing import Optional, Tuple
from .figure import Figure
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
| 29.521739 | 78 | 0.581001 |
b7bb34b596fa5c54c79635a6e0d79f862d482ebf | 30,005 | py | Python | parallel_accel/shared/parallel_accel/shared/schemas/external.py | google/parallel_accel | b58fda1c3a22f2aaa9a97337d602cd72c49ee8be | [
"Apache-2.0"
] | 1 | 2021-12-19T21:17:02.000Z | 2021-12-19T21:17:02.000Z | parallel_accel/shared/parallel_accel/shared/schemas/external.py | google/parallel_accel | b58fda1c3a22f2aaa9a97337d602cd72c49ee8be | [
"Apache-2.0"
] | null | null | null | parallel_accel/shared/parallel_accel/shared/schemas/external.py | google/parallel_accel | b58fda1c3a22f2aaa9a97337d602cd72c49ee8be | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The ParallelAccel Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 28.549001 | 113 | 0.627629 |
b7bb41a1d668770a899b52a1a2113000001bd07c | 1,040 | py | Python | godot-toolkit/godot_config_file.py | WiggleWizard/godot-toolkit | e17b7666ed80e3ab25ee65c43eb1ba9b13634070 | [
"MIT"
] | null | null | null | godot-toolkit/godot_config_file.py | WiggleWizard/godot-toolkit | e17b7666ed80e3ab25ee65c43eb1ba9b13634070 | [
"MIT"
] | null | null | null | godot-toolkit/godot_config_file.py | WiggleWizard/godot-toolkit | e17b7666ed80e3ab25ee65c43eb1ba9b13634070 | [
"MIT"
] | null | null | null | try:
from configparser import RawConfigParser
except ImportError:
from ConfigParser import RawConfigParser
| 41.6 | 79 | 0.5 |
b7bd5a3b425952bf3f2c75d16b604d8c223988c4 | 683 | py | Python | DMOJ/CCC/escape room.py | eddiegz/Personal-C | f7869826216e5c665f8f646502141f0dc680e545 | [
"MIT"
] | 3 | 2021-05-15T08:18:09.000Z | 2021-05-17T04:41:57.000Z | DMOJ/CCC/escape room.py | eddiegz/Personal-C | f7869826216e5c665f8f646502141f0dc680e545 | [
"MIT"
] | null | null | null | DMOJ/CCC/escape room.py | eddiegz/Personal-C | f7869826216e5c665f8f646502141f0dc680e545 | [
"MIT"
] | null | null | null | import collections
m=int(input())
n=int(input())
grid=[]
for i in range(m):
grid.append(list(map(int,input().split())))
factor=collections.defaultdict(list)
print('yes' if dfs(0, 0) else 'no')
| 22.032258 | 58 | 0.513909 |
b7bd809bb95458cc851905998de0d036112332ab | 2,556 | py | Python | volume_loader.py | xeTaiz/deep-volumetric-ambient-occlusion | 8492ad957f1440d5bf93139f7cf9ee4c7997b0e2 | [
"MIT"
] | 9 | 2020-08-24T20:03:17.000Z | 2022-02-17T07:38:55.000Z | volume_loader.py | xeTaiz/deep-volumetric-ambient-occlusion | 8492ad957f1440d5bf93139f7cf9ee4c7997b0e2 | [
"MIT"
] | null | null | null | volume_loader.py | xeTaiz/deep-volumetric-ambient-occlusion | 8492ad957f1440d5bf93139f7cf9ee4c7997b0e2 | [
"MIT"
] | 1 | 2021-07-12T01:39:24.000Z | 2021-07-12T01:39:24.000Z | import os
import pydicom
import numpy as np
import dicom_numpy
from utils import hidden_errors
from tf_utils import *
from pathlib import Path
def read_dicom_folder(dicom_folder, rescale=None):
''' Reads all .dcm files in `dicom_folder` and merges them to one volume
Returns:
The volume and the affine... | 44.068966 | 127 | 0.620892 |
b7c03a0cfc79b571a75dfb907cc43fbd5d0b1bf0 | 5,056 | py | Python | sudoku_solver/gui.py | andrewhalle/sudoku_solver | 56b88c49a3637449507a9afa66ec3d617d2118a5 | [
"MIT"
] | null | null | null | sudoku_solver/gui.py | andrewhalle/sudoku_solver | 56b88c49a3637449507a9afa66ec3d617d2118a5 | [
"MIT"
] | null | null | null | sudoku_solver/gui.py | andrewhalle/sudoku_solver | 56b88c49a3637449507a9afa66ec3d617d2118a5 | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtCore import Qt, QSize, QPoint
from PyQt5.QtWidgets import QApplication, QDialog, QWidget, QLabel, QPushButton, QVBoxLayout, QHBoxLayout
from PyQt5.QtGui import QPainter, QColor, QPen, QFont
from .sudoku import Sudoku
def main():
app = QApplication([])
gui = SudokuDialog()
sys.exit(... | 36.637681 | 135 | 0.585443 |