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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c2ccffa0a75618b898fb390841847aab6f871afc | 412 | py | Python | isi_mip/climatemodels/migrations/0044_auto_20170116_1626.py | ISI-MIP/isimip | c2a78c727337e38f3695031e00afd607da7d6dcb | [
"MIT"
] | 4 | 2017-07-05T08:06:18.000Z | 2021-03-01T17:23:18.000Z | isi_mip/climatemodels/migrations/0044_auto_20170116_1626.py | ISI-MIP/isimip | c2a78c727337e38f3695031e00afd607da7d6dcb | [
"MIT"
] | 4 | 2020-01-31T09:02:57.000Z | 2021-04-20T14:04:35.000Z | isi_mip/climatemodels/migrations/0044_auto_20170116_1626.py | ISI-MIP/isimip | c2a78c727337e38f3695031e00afd607da7d6dcb | [
"MIT"
] | 4 | 2017-10-12T01:48:55.000Z | 2020-04-29T13:50:03.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-01-16 15:26
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('climatemodels', '0043_auto_20170116_1623'),
]
operations = [
migrations.RenameModel... | 20.6 | 53 | 0.631068 | 262 | 0.635922 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.334951 |
c2ce62208e5d0f3a5f97c461255fe7d85b8afbee | 13,528 | py | Python | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | custom_utils/crop4patches.py | ziming-liu/ObjectDet | 6e25fa784114b9773b052d9d5465aa6fed93468a | [
"Apache-2.0"
] | null | null | null | import numpy
import os
import json
import cv2
import csv
import os.path as osp
import mmcv
import numpy as np
def isgood(w,h):
if w<2 or h<2:
return False
if w /h >10.0 or h/w >10.0:
return False
return True
def bbox_iou(box1, box2):
b1_x1, b1_y1, b1_x2, b1_y2 = box1
... | 53.05098 | 190 | 0.53563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,884 | 0.138591 |
c2d008457b1988d06b4f36156a0cb0305d850324 | 1,121 | py | Python | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | 11 | 2022-01-10T13:49:39.000Z | 2022-01-11T05:57:45.000Z | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | null | null | null | rabbitgetapi/__main__.py | Sidon/get-rabbitmq-messages | 8feff8c9b9edee863d875966f5e5f3a5eb6ab06a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyleft 2021 Sidon Duarte
#
import http
import sys
from typing import Any
import colorama
import requests
from rabbitgetapi import cli
from rabbitgetapi import exceptions
from rabbitgetapi import build_parser
def main() -> Any:
try:
result = cli.dispatch(sys.argv[1:])
excep... | 26.069767 | 75 | 0.674398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0.225691 |
c2d017d8eee0b960215a2642618960e9f03da11f | 245 | py | Python | src/allyoucanuse/etc/hashing.py | kunlubrain/allyoucanuse | c206d53fa9948cb335b406805d52125921fb71cf | [
"MIT"
] | null | null | null | src/allyoucanuse/etc/hashing.py | kunlubrain/allyoucanuse | c206d53fa9948cb335b406805d52125921fb71cf | [
"MIT"
] | null | null | null | src/allyoucanuse/etc/hashing.py | kunlubrain/allyoucanuse | c206d53fa9948cb335b406805d52125921fb71cf | [
"MIT"
] | null | null | null | from typing import Union, Iterable
import hashlib
def hash_id(seeds:Union[str, Iterable], n:int=32)->str:
"""For the moment, use the default simple python hash func
"""
h = hashlib.sha256(''.join(seeds)).hexdigest()[:n]
return h | 30.625 | 62 | 0.681633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.277551 |
c2d2914bf2009ddae6cb71f0693560922df3f83f | 12,182 | py | Python | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | 1 | 2022-03-25T05:05:55.000Z | 2022-03-25T05:05:55.000Z | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | null | null | null | SST/datasets/wrapperpolicy.py | shaoshitong/torchdistill | 709ca2d59442090d73a554d363e4c5e37538c707 | [
"MIT"
] | null | null | null | import os
import numpy as np
import torch
from torch.utils.data import Dataset
import math
import torch
import torch.nn.functional as F
import random
import torchvision.datasets
from torchvision.transforms import *
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
from PIL import Imag... | 40.471761 | 136 | 0.613692 | 9,202 | 0.755377 | 0 | 0 | 7,600 | 0.623871 | 0 | 0 | 917 | 0.075275 |
c2d3138307df728361eddc71fedd71f1bcf4a126 | 67 | py | Python | Chapter 07/ch7_1m.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 07/ch7_1m.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 07/ch7_1m.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | print(lambda x: x*x (10))
# may give address of lambda function | 22.333333 | 38 | 0.686567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.567164 |
c2d36fb4456d02f1a3cbf08824eb8cded948400d | 3,029 | py | Python | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 353 | 2019-01-03T09:53:17.000Z | 2022-03-27T12:24:45.000Z | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 21 | 2019-01-06T21:50:40.000Z | 2021-08-19T11:33:15.000Z | {{cookiecutter.project_slug}}/backend/app/app/tests/crud/test_item.py | Gjacquenot/full-stack-fastapi-couchbase | 5df16af2ffcb22d141c5e689a220611005747939 | [
"MIT"
] | 72 | 2019-03-07T21:59:55.000Z | 2022-03-18T04:59:22.000Z | from app import crud
from app.db.database import get_default_bucket
from app.models.config import ITEM_DOC_TYPE
from app.models.item import ItemCreate, ItemUpdate
from app.tests.utils.user import create_random_user
from app.tests.utils.utils import random_lower_string
def test_create_item():
title = random_lower_... | 35.22093 | 88 | 0.719379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2d3808ea07cbe15ac6fd167c1f1d94408d838e4 | 32 | py | Python | src/constants.py | argho28/Translation | 11e24df4deb29d37dfb1f48cf686cef75eb68397 | [
"MIT"
] | 15 | 2019-09-26T09:59:14.000Z | 2021-08-14T16:54:42.000Z | src/constants.py | argho28/Translation | 11e24df4deb29d37dfb1f48cf686cef75eb68397 | [
"MIT"
] | 9 | 2020-03-24T17:53:25.000Z | 2022-01-13T01:36:39.000Z | src/constants.py | argho28/Translation | 11e24df4deb29d37dfb1f48cf686cef75eb68397 | [
"MIT"
] | 3 | 2019-12-30T15:35:32.000Z | 2021-01-05T18:02:41.000Z | MODEL_PATH = "./model/model.pt"
| 16 | 31 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.5625 |
c2d52797a4915efe6cf6a4bf7bb065954ba40d31 | 12,271 | py | Python | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | 4 | 2021-10-10T15:31:23.000Z | 2022-02-10T00:17:55.000Z | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | null | null | null | 03_ML_training.py | YunxiaoRen/ML-iAMR | 6bab74b4dccb5da8bc6155a7ee7ffa9d4811b894 | [
"MIT"
] | 2 | 2021-12-07T22:04:54.000Z | 2022-02-10T07:14:42.000Z |
##**************************************************************************************##
## Step1. Load Packages and Input Data ##
##**************************************************************************************##
import pandas as pd
import nu... | 39.079618 | 193 | 0.677043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,012 | 0.245457 |
c2d54bc8670fa3bdf4a2db5b9a515c8fa9d07665 | 189 | py | Python | testspeed/__init__.py | sc-1123/testspeed | 0dc560f9019087275d29eba2e4dfc351ba89566e | [
"MIT"
] | 1 | 2019-07-29T03:12:10.000Z | 2019-07-29T03:12:10.000Z | testspeed/__init__.py | sc-1123/testspeed | 0dc560f9019087275d29eba2e4dfc351ba89566e | [
"MIT"
] | null | null | null | testspeed/__init__.py | sc-1123/testspeed | 0dc560f9019087275d29eba2e4dfc351ba89566e | [
"MIT"
] | null | null | null | name = "testspeed"
from time import time
from sys import argv
from os import system
tic = time()
system('python %s' % (argv[1]))
toc = time()
print('used %s seconds' % (toc - tic))
| 21 | 39 | 0.640212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.206349 |
c2d5cfe13e3252b73bc2d506fd5f87805ad7437d | 6,660 | py | Python | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | gdalhelpers/functions/create_points_at_angles_distance_in_direction.py | JanCaha/gdalhelpers | 925ecb2552b697b5970617484f1fc259f844ba04 | [
"MIT"
] | null | null | null | from osgeo import ogr
from typing import List, Union
import math
import os
import warnings
import numpy as np
from gdalhelpers.checks import values_checks, datasource_checks, layer_checks
from gdalhelpers.helpers import layer_helpers, datasource_helpers, geometry_helpers
def create_points_at_angles_distance_in_direct... | 43.815789 | 131 | 0.640841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,175 | 0.326577 |
c2d600c10308080eab8bee5be84ed3ffe2e71757 | 151 | py | Python | test.py | Imagio/enigma | 31c84a40cabe6ed7fc75743dbe9292a1bb622c4e | [
"MIT"
] | null | null | null | test.py | Imagio/enigma | 31c84a40cabe6ed7fc75743dbe9292a1bb622c4e | [
"MIT"
] | null | null | null | test.py | Imagio/enigma | 31c84a40cabe6ed7fc75743dbe9292a1bb622c4e | [
"MIT"
] | null | null | null | import unittest
from rotor_tests import *
from rotor_settings_tests import *
from reflector_tests import *
from enigma_tests import *
unittest.main()
| 18.875 | 34 | 0.821192 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2d85ba1664d0e7d0a642dbaf8af0b812fb9a534 | 320 | py | Python | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | from werkzeug import find_modules, import_string
from forums import routes
from forums.modifications import modify_core
def init_app(app):
with app.app_context():
for name in find_modules('forums', recursive=True):
import_string(name)
app.register_blueprint(routes.bp)
modify_core()
| 21.333333 | 59 | 0.73125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.025 |
c2d8aaeb7cd07de199497544ee9bb719305bd800 | 1,380 | py | Python | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | null | null | null | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | null | null | null | polybot/views/ingest.py | evanpcosta/IEEEPolybot | 75fd70680f4f9fec8b1b77b4e116e4869eb8c079 | [
"Apache-2.0"
] | 1 | 2021-03-07T20:46:43.000Z | 2021-03-07T20:46:43.000Z | """Routes related to ingesting data from the robot"""
import os
import logging
from pathlib import Path
from flask import Blueprint, request, current_app
from pydantic import ValidationError
from werkzeug.utils import secure_filename
from polybot.models import UVVisExperiment
logger = logging.getLogger(__name__)
b... | 30 | 70 | 0.674638 | 0 | 0 | 0 | 0 | 1,001 | 0.725362 | 0 | 0 | 446 | 0.323188 |
c2d96673325c088ac08245ec7ce49cbb6c73160f | 405 | py | Python | novice/02-04/lat_DIModule.py | septiannurtrir/praxis-academy | 1ef7f959c372ae991d74ccd373123142c2fbc542 | [
"MIT"
] | 1 | 2019-08-27T17:06:13.000Z | 2019-08-27T17:06:13.000Z | novice/02-04/lat_DIModule.py | septiannurtrir/praxis-academy | 1ef7f959c372ae991d74ccd373123142c2fbc542 | [
"MIT"
] | null | null | null | novice/02-04/lat_DIModule.py | septiannurtrir/praxis-academy | 1ef7f959c372ae991d74ccd373123142c2fbc542 | [
"MIT"
] | null | null | null | #dependency Module
class AppModule:
@singleton
@provider
def provide_business_logic(self, api: Api) -> BusinessLogic:
return BusinessLogic(api=api)
@singleton
@provider
def provide_api(self) -> Api:
configuration
return Api()
if __name__ == '__main__':
injector ... | 18.409091 | 64 | 0.654321 | 258 | 0.637037 | 0 | 0 | 230 | 0.567901 | 0 | 0 | 28 | 0.069136 |
c2daf1fd3438e639b7a66547964461828db43284 | 639 | py | Python | qiita_pet/uimodules/base_uimodule.py | JWDebelius/qiita | 3378e0fabe40a846691600e5de4fb72a3db70dd1 | [
"BSD-3-Clause"
] | null | null | null | qiita_pet/uimodules/base_uimodule.py | JWDebelius/qiita | 3378e0fabe40a846691600e5de4fb72a3db70dd1 | [
"BSD-3-Clause"
] | null | null | null | qiita_pet/uimodules/base_uimodule.py | JWDebelius/qiita | 3378e0fabe40a846691600e5de4fb72a3db70dd1 | [
"BSD-3-Clause"
] | null | null | null | # -----------------------------------------------------------------------------
# Copyright (c) 2014--, The Qiita Development Team.
#
# Distributed under the terms of the BSD 3-clause License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | 35.5 | 79 | 0.524257 | 252 | 0.394366 | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 0.696401 |
c2db78f1fd6b3b030ac80b311ec8e5f6c6ad3962 | 1,572 | py | Python | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | 1 | 2017-11-15T23:24:35.000Z | 2017-11-15T23:24:35.000Z | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | null | null | null | test/test_mpdstats.py | dfc/beets | 96c5121f65b9477e9b424f166dc57369b6457e42 | [
"MIT"
] | null | null | null | # This file is part of beets.
# Copyright 2015
#
# 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, pu... | 30.230769 | 71 | 0.720738 | 521 | 0.331425 | 0 | 0 | 0 | 0 | 0 | 0 | 653 | 0.415394 |
c2db90e9e6960ed73fac71500e3d37978e19257c | 1,714 | py | Python | renderer/console.py | deeredman1991/CreepSmash | 566b87c6d70f3663016f1c6d41d63432f9d0e785 | [
"MIT"
] | null | null | null | renderer/console.py | deeredman1991/CreepSmash | 566b87c6d70f3663016f1c6d41d63432f9d0e785 | [
"MIT"
] | null | null | null | renderer/console.py | deeredman1991/CreepSmash | 566b87c6d70f3663016f1c6d41d63432f9d0e785 | [
"MIT"
] | null | null | null | import tools.libtcod.libtcodpy as libtcod
class Console(object):
def __init__(self, x=[0,0], y=[0,0], parent_console=None):
self._settings = {
"x": x,
"y": y,
"Parent_Console": parent_console
}
self._settings["Width"] = int(max(self._settings["x"][1], se... | 39.860465 | 157 | 0.625438 | 1,670 | 0.974329 | 0 | 0 | 486 | 0.283547 | 0 | 0 | 297 | 0.173279 |
c2dbb6ec5c6b594157bfe877b67a7b2cb451fd8a | 48,942 | py | Python | tests/examples/minlplib/sfacloc2_3_90.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/sfacloc2_3_90.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/sfacloc2_3_90.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # MINLP written by GAMS Convert at 04/21/18 13:54:11
#
# Equation counts
# Total E G L N X C B
# 497 61 388 48 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc ... | 37.077273 | 113 | 0.650954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 699 | 0.014282 |
c2dc055259ce8bd609c68240256323675bd4a1ec | 1,236 | py | Python | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | python_code/vnev/Lib/site-packages/jdcloud_sdk/services/cloudsign/models/StampInfo.py | Ureimu/weather-robot | 7634195af388538a566ccea9f8a8534c5fb0f4b6 | [
"MIT"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 ... | 34.333333 | 107 | 0.706311 | 609 | 0.475781 | 0 | 0 | 0 | 0 | 0 | 0 | 934 | 0.729688 |
c2de7d7431503150ac6343d65fe89abecb277cb0 | 3,462 | py | Python | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 20 | 2018-11-26T16:22:46.000Z | 2018-12-21T10:08:25.000Z | authors/apps/likedislike/tests/test_likedislike.py | andela/ah-code-titans | 4f1fc77c2ecdf8ca15c24327d39fe661eac85785 | [
"BSD-3-Clause"
] | 3 | 2019-01-24T15:39:42.000Z | 2019-09-25T17:57:08.000Z | from rest_framework import status
from django.urls import reverse
from authors.apps.articles.models import Article
from authors.base_test_config import TestConfiguration
slug = None
class TestLikeDislike(TestConfiguration):
"""
Class to test for liking and disliking of articles.
"""
def create_artic... | 28.61157 | 76 | 0.593299 | 3,267 | 0.943674 | 0 | 0 | 0 | 0 | 0 | 0 | 1,277 | 0.368862 |
c2dfd049645c43b5bbb9f0aae0f7145cf2d53a0b | 6,843 | py | Python | start_gui.py | NIC-VICOROB/sub-cortical_segmentation | 324b8f998a666cee6ef94944acd85e2bcd503701 | [
"BSD-3-Clause"
] | 7 | 2018-06-17T02:48:49.000Z | 2021-02-16T05:38:10.000Z | start_gui.py | NIC-VICOROB/sub-cortical_segmentation | 324b8f998a666cee6ef94944acd85e2bcd503701 | [
"BSD-3-Clause"
] | null | null | null | start_gui.py | NIC-VICOROB/sub-cortical_segmentation | 324b8f998a666cee6ef94944acd85e2bcd503701 | [
"BSD-3-Clause"
] | 4 | 2017-09-22T08:52:36.000Z | 2019-07-15T14:44:51.000Z | # ------------------------------------------------------------
# Training script example for Keras implementation
#
# Kaisar Kushibar (2019)
# kaisar.kushibar@udg.edu
# ------------------------------------------------------------
import os
import sys
import numpy as np
from functools import partial
from tkinter import... | 37.80663 | 136 | 0.650592 | 5,918 | 0.864825 | 0 | 0 | 0 | 0 | 0 | 0 | 1,074 | 0.156949 |
c2dfea80584df5547d3541ae560b3208410a1788 | 3,875 | py | Python | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-10-13T18:58:33.000Z | 2021-08-07T12:46:22.000Z | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 7 | 2019-12-16T21:25:34.000Z | 2022-02-10T00:11:22.000Z | source/yahoo_finance.py | mengwangk/myinvestor-toolkit | 3dca9e1accfccf1583dcdbec80d1a0fe9dae2e81 | [
"MIT"
] | 4 | 2020-02-01T11:23:51.000Z | 2021-12-13T12:27:18.000Z | """
=======================
Yahoo Finance source
=======================
"""
import re
import requests
import time
from json import loads
from bs4 import BeautifulSoup
from yahoofinancials import YahooFinancials
# Yahoo Finance data source
class YahooFinanceSource(YahooFinancials):
def __init__(self, ticker):
... | 40.789474 | 112 | 0.627097 | 3,631 | 0.937032 | 0 | 0 | 457 | 0.117935 | 0 | 0 | 845 | 0.218065 |
c2e0b6b1770d351e8357e3bd5c3075735bda47ee | 695 | py | Python | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class EnterpriseItem(scrapy.Item):
# define the fields for your item here like:
searchTime = scrapy.Field()
searchCriteria = scrapy.Field()
... | 26.730769 | 51 | 0.684892 | 522 | 0.751079 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.271942 |
c2e195ab4b278f23e01854b0146790e6742d3324 | 26,510 | py | Python | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | photoz.py | martinkilbinger/shapepipe_photoz | da4547774f6d599fb0106273eb8ab9819b7fd9eb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 10:02:58 2020
@author: Xavier Jimenez
"""
#------------------------------------------------------------------#
# # # # # Imports # # # # #
#------------------------------------------------------------------#
import numpy as np
import os
import ... | 54.102041 | 289 | 0.515805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,011 | 0.339717 |
c2e28399830065a80ecde0af2720320c90368d6c | 776 | py | Python | units/prefix/metactl/bin/bin.py | hoefkensj/BTRWin | 1432868ad60155f5ae26f33903a890497e089480 | [
"MIT"
] | null | null | null | units/prefix/metactl/bin/bin.py | hoefkensj/BTRWin | 1432868ad60155f5ae26f33903a890497e089480 | [
"MIT"
] | null | null | null | units/prefix/metactl/bin/bin.py | hoefkensj/BTRWin | 1432868ad60155f5ae26f33903a890497e089480 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import betterwin
G=betterwin.confcfg.load_global_config()
def read_skell(skel):
with open(skel) as template:
tpl= template.readlines()
def head(tpl):
for idx,line in enumerate(tpl):
if 'cfg_start' in line:
header=tpl[0:idx]
return header
def bottom(tpl):
for idx,line in ... | 19.897436 | 123 | 0.666237 | 0 | 0 | 271 | 0.349227 | 0 | 0 | 0 | 0 | 159 | 0.204897 |
c2e55b26934d85e03276f6736007bed25c578301 | 1,348 | py | Python | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 10 | 2022-03-16T02:14:56.000Z | 2022-03-31T19:01:34.000Z | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 1 | 2022-03-18T06:43:16.000Z | 2022-03-18T06:56:35.000Z | network/fs_net_repo/PoseTs.py | lolrudy/GPV_pose | f326a623b3e45e6edfc1963b068e8e7aaea2bfff | [
"MIT"
] | 2 | 2022-03-19T13:06:28.000Z | 2022-03-19T16:08:18.000Z | import torch.nn as nn
import torch
import torch.nn.functional as F
import absl.flags as flags
from absl import app
FLAGS = flags.FLAGS
# Point_center encode the segmented point cloud
# one more conv layer compared to original paper
class Pose_Ts(nn.Module):
def __init__(self):
super(Pose_Ts, self).__ini... | 25.433962 | 55 | 0.58457 | 894 | 0.663205 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.078635 |
c2e64fced5d7c9dff05319da1da37700db19293c | 2,653 | py | Python | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | gQuant/plugins/gquant_plugin/greenflow_gquant_plugin/analysis/exportXGBoostNode.py | t-triobox/gQuant | 6ee3ba104ce4c6f17a5755e7782298902d125563 | [
"Apache-2.0"
] | null | null | null | from greenflow.dataframe_flow import Node
from greenflow.dataframe_flow.portsSpecSchema import (ConfSchema,
PortsSpecSchema)
from greenflow.dataframe_flow.metaSpec import MetaDataSchema
from greenflow.dataframe_flow.util import get_file_path
from greenflow.dataframe... | 31.211765 | 74 | 0.547682 | 2,232 | 0.841312 | 0 | 0 | 0 | 0 | 0 | 0 | 519 | 0.195628 |
c2e989f1d471ff586e3048f193d3b0ec35055cc5 | 623 | py | Python | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | Python/main.py | mrn4344/Mandelbrot | 8958b6453b3feafa1329fa18dc2822ab8985cb41 | [
"MIT"
] | null | null | null | import mandelbrot as mand
from PIL import Image
width = 1280
height = 720
scale = 2
def pixelToCoord( pos ):
(x, y) = pos
return ( 4*(x/height - 0.5)/scale , -4*(y/height - 0.5)/scale)
def main():
me = mand.mandelbrot(2)
img = Image.new('RGB', (width,height), color = 'white')
for y in range(0,... | 22.25 | 67 | 0.5313 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.065811 |
c2ea645b92efeff22da8081f24ec4c1af5469ade | 1,699 | py | Python | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | blockformer/position/relative_position_bias.py | colinski/blockformer | 56be6abc08dc25ab97c526384e9c69f6c814c3ed | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn.utils.weight_init import trunc_normal_
#adapted from open-mmlab implementation of swin transformer
class RelativePositionBias(nn.Module):
def __init__(self,
window_size=(7, 7),
num_heads=8
):
su... | 38.613636 | 78 | 0.638611 | 1,517 | 0.892878 | 0 | 0 | 230 | 0.135374 | 0 | 0 | 189 | 0.111242 |
c2ec07613b902faccf5658ff9af13a51b5b0ec16 | 6,065 | py | Python | __main__.py | vEnhance/dragon | ada173a05e986941f20002ca726041a698eb8a1d | [
"MIT"
] | null | null | null | __main__.py | vEnhance/dragon | ada173a05e986941f20002ca726041a698eb8a1d | [
"MIT"
] | null | null | null | __main__.py | vEnhance/dragon | ada173a05e986941f20002ca726041a698eb8a1d | [
"MIT"
] | null | null | null | #Import some stuff
import os
import zipfile
import ConfigParser
import string
import argparse
from xml.etree.ElementTree import ElementTree
from constants import SHORT_NAME, VERSION_NUMBER, FULL_NAME, GEOGEBRA_XML_LOCATION
from diagram import AsyDiagram, doCompileDiagramObjects, drawDiagram
# Argument parser {{{
pars... | 32.783784 | 232 | 0.697939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,689 | 0.443364 |
c2ecefbb6392e5044c1bce089bc79ba2086836e6 | 1,714 | py | Python | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 15 | 2021-06-25T05:02:37.000Z | 2022-03-20T08:34:15.000Z | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 2 | 2022-01-21T05:14:17.000Z | 2022-03-23T09:24:45.000Z | ka_model.py | ycjing/AmalgamateGNN.PyTorch | f99a60b374d23002d53385f23da2d540d964c7c2 | [
"MIT"
] | 1 | 2021-08-18T06:28:58.000Z | 2021-08-18T06:28:58.000Z | import torch
from utils import get_teacher1, get_teacher2, get_student
def collect_model(args, data_info_s, data_info_t1, data_info_t2):
"""This is the function that constructs the dictionary containing the models and the corresponding optimizers
Args:
args (parse_args): parser arguments
data... | 41.804878 | 113 | 0.713536 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 831 | 0.484831 |
c2ed8ec4755fb9cd0f0e90d7dcf10e9cf020ad38 | 8,759 | py | Python | core/migrations/0001_initial.py | vlafranca/stream_framework_example | 3af636c591d4a278f3720f64118d86aeb8091714 | [
"MIT"
] | 102 | 2015-01-18T15:02:34.000Z | 2021-12-07T17:22:12.000Z | core/migrations/0001_initial.py | vlafranca/stream_framework_example | 3af636c591d4a278f3720f64118d86aeb8091714 | [
"MIT"
] | 11 | 2015-01-04T14:42:11.000Z | 2022-01-13T04:58:10.000Z | core/migrations/0001_initial.py | vlafranca/stream_framework_example | 3af636c591d4a278f3720f64118d86aeb8091714 | [
"MIT"
] | 53 | 2015-01-12T07:11:10.000Z | 2021-07-28T08:40:02.000Z | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Item'
db.create_table(u'core_item', (
(u'id', self.gf('django.db.models.fields.A... | 56.509677 | 187 | 0.553488 | 8,626 | 0.984816 | 0 | 0 | 0 | 0 | 0 | 0 | 5,226 | 0.596643 |
c2edaf37adb691a52b1dfd785bf639490dc75f3a | 3,309 | py | Python | desicos/abaqus/conecyl/__init__.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 1 | 2020-10-22T22:15:24.000Z | 2020-10-22T22:15:24.000Z | desicos/abaqus/conecyl/__init__.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 1 | 2020-10-09T12:42:02.000Z | 2020-10-09T12:42:02.000Z | desicos/abaqus/conecyl/__init__.py | saullocastro/desicos | 922db8ac4fb0fb4d09df18ce2a14011f207f6fa8 | [
"BSD-3-Clause"
] | 2 | 2020-07-14T07:45:31.000Z | 2020-12-29T00:22:41.000Z | r"""
===================================================
ConeCyl (:mod:`desicos.abaqus.conecyl`)
===================================================
.. currentmodule:: desicos.abaqus.conecyl
Cone/Cylinder Model
=====================
Figure 1 provides a schematic view of the typical model created using this
module. T... | 30.925234 | 91 | 0.676337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,245 | 0.980659 |
c2ef61f09bff5ba020f8ddabd68c94b0f1037b53 | 465 | py | Python | demo_api/rumour_detection_twitter/create_inputs.py | vincenttzc/sgnlp | 44ae12a5ae98c9a1945d346e9373854c7d472a4b | [
"MIT"
] | 14 | 2021-08-02T01:52:18.000Z | 2022-01-14T10:16:02.000Z | demo_api/rumour_detection_twitter/create_inputs.py | vincenttzc/sgnlp | 44ae12a5ae98c9a1945d346e9373854c7d472a4b | [
"MIT"
] | 29 | 2021-08-02T01:53:46.000Z | 2022-03-30T05:40:46.000Z | demo_api/rumour_detection_twitter/create_inputs.py | vincenttzc/sgnlp | 44ae12a5ae98c9a1945d346e9373854c7d472a4b | [
"MIT"
] | 7 | 2021-08-02T01:54:19.000Z | 2022-01-07T06:37:45.000Z | def generate_structure(thread_len, max_posts):
time_delay_ids = [0] * thread_len + [1] * (max_posts - thread_len)
structure_ids = [
[3] * idx + [4] + [2] * (thread_len - 1 - idx) + [5] * (max_posts - thread_len)
for idx in range(thread_len)
] + [[5] * max_posts] * (max_posts - thread_len)
... | 38.75 | 87 | 0.627957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2f022d833125248ec963e921ce8841d3ad389bf | 1,230 | py | Python | rpython/jit/backend/ppc/regname.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 381 | 2018-08-18T03:37:22.000Z | 2022-02-06T23:57:36.000Z | rpython/jit/backend/ppc/regname.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 16 | 2018-09-22T18:12:47.000Z | 2022-02-22T20:03:59.000Z | rpython/jit/backend/ppc/regname.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 55 | 2015-08-16T02:41:30.000Z | 2022-03-20T20:33:35.000Z | class _R(int):
def __repr__(self):
return "r%s"%(super(_R, self).__repr__(),)
__str__ = __repr__
class _F(int):
def __repr__(self):
return "fr%s"%(super(_F, self).__repr__(),)
__str__ = __repr__
class _V(int):
def __repr__(self):
return "vr%s"%(super(_V, self).__repr__(),)
... | 41 | 78 | 0.591057 | 338 | 0.274797 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.013821 |
c2f080fa5d08bb1269862977727df7460da362c1 | 445 | py | Python | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | probs/prob9.py | mattrid93/ProjectEuler | 3e1cf1bad9581e526b37d17e20b5fe8af837c1c6 | [
"MIT"
] | null | null | null | """Problem 9: Special Pythagorean triplet.
Brute force."""
import unittest
def find_triple(s):
"""Returns abc where a^2+b^2=c^2 with a+b+c=s."""
a, b, c = 998, 1, 1
while b < 999:
if a**2 + b**2 == c**2:
return a*b*c
if a == 1:
c += 1
b = 1
a... | 20.227273 | 53 | 0.440449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.265169 |
c2f186277f31c8ec4b6c844878711153981d3676 | 920 | py | Python | common/utilities/message_utilities.py | uk-gov-mirror/nhsconnect.integration-adaptor-mhs | bf090a17659da738401667997a10695d8b75b94b | [
"Apache-2.0"
] | 15 | 2019-08-06T16:08:12.000Z | 2021-05-24T13:14:39.000Z | common/utilities/message_utilities.py | uk-gov-mirror/nhsconnect.integration-adaptor-mhs | bf090a17659da738401667997a10695d8b75b94b | [
"Apache-2.0"
] | 75 | 2019-04-25T13:59:02.000Z | 2021-09-15T06:05:36.000Z | common/utilities/message_utilities.py | uk-gov-mirror/nhsconnect.integration-adaptor-mhs | bf090a17659da738401667997a10695d8b75b94b | [
"Apache-2.0"
] | 7 | 2019-11-12T15:26:34.000Z | 2021-04-11T07:23:56.000Z | import uuid
import datetime
import utilities.file_utilities as file_utilities
EBXML_TIMESTAMP_FORMAT = "%Y-%m-%dT%H:%M:%SZ"
def get_uuid():
"""Generate a UUID suitable for sending in messages to Spine.
:return: A string representation of the UUID.
"""
return str(uuid.uuid4()).upper()
def get_times... | 27.878788 | 97 | 0.738043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 303 | 0.329348 |
c2f1a3b7771e7491e2a518b145a7443aeabf7658 | 81 | py | Python | corehq/util/tests/__init__.py | bglar/commcare-hq | 972129fc26864c08c7bef07874bd2a7218550bff | [
"BSD-3-Clause"
] | 1 | 2017-02-10T03:14:51.000Z | 2017-02-10T03:14:51.000Z | corehq/util/tests/__init__.py | bglar/commcare-hq | 972129fc26864c08c7bef07874bd2a7218550bff | [
"BSD-3-Clause"
] | null | null | null | corehq/util/tests/__init__.py | bglar/commcare-hq | 972129fc26864c08c7bef07874bd2a7218550bff | [
"BSD-3-Clause"
] | null | null | null | from test_couch import *
from test_toggle import *
from test_quickcache import *
| 20.25 | 29 | 0.814815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2f1d876ec603c325d5fd840f0aed40ac0a43ab5 | 998 | py | Python | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | cleanup.py | DuncteBot/tf2-transformer-chatbot | 0e364da0537717de025314d40c5b0423891f9dc4 | [
"MIT"
] | null | null | null | import sqlite3
from helpers import get_db_path, get_timeframes
from traceback import print_tb
timeframes = get_timeframes()
print(timeframes)
for timeframe in timeframes:
with sqlite3.connect(get_db_path(timeframe)) as connection:
try:
c = connection.cursor()
print("Cleanin up!"... | 28.514286 | 103 | 0.576152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.295591 |
c2f341062556abc813aaebd4a88c681a262c4eb7 | 8,059 | py | Python | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | 7 | 2019-06-26T15:23:14.000Z | 2021-12-28T14:16:24.000Z | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | null | null | null | visualization/plots.py | yc14600/beta3_IRT | 7c3d87b2f04fc9ad7bf59db5d60166df5ca47dc6 | [
"MIT"
] | 4 | 2019-08-29T19:07:35.000Z | 2021-12-28T19:22:11.000Z | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
import seaborn as sns
import pandas as pd
import glob
import re
from itertools import combinations
import matplotlib
matplotlib.rcParams['text.usetex'] = True
def plot_probabilities(X, probabilities,... | 36.631818 | 173 | 0.618191 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,317 | 0.16342 |
c2f46b42f5c6546a78b91fb417eafbf47943fbf3 | 10,125 | py | Python | kitchensink/data/catalog.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | 2 | 2015-03-17T05:02:42.000Z | 2016-04-07T15:02:28.000Z | kitchensink/data/catalog.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | null | null | null | kitchensink/data/catalog.py | hhuuggoo/kitchensink | 1f81050fec7eace52e0b4e1b47851b649a4e4d33 | [
"BSD-3-Clause"
] | 1 | 2015-10-07T21:50:44.000Z | 2015-10-07T21:50:44.000Z | from os.path import join, exists, isdir, relpath, abspath, dirname
import datetime as dt
import posixpath
import logging
import tempfile
from os import stat, makedirs, remove
import random
import uuid
from cStringIO import StringIO
import time
from six import string_types
try:
import gevent
except:
gevent = No... | 35.904255 | 95 | 0.599407 | 8,989 | 0.887802 | 1,122 | 0.110815 | 0 | 0 | 0 | 0 | 2,842 | 0.280691 |
c2f4c885d5dce7315988e496badae91eba3b1efc | 982 | py | Python | nadine/migrations/0034_stripebillingprofile.py | alvienzo720/Dep_Nadine | b23688aa87ba3cfe138f9b243eed3f50a74e1486 | [
"Apache-2.0"
] | null | null | null | nadine/migrations/0034_stripebillingprofile.py | alvienzo720/Dep_Nadine | b23688aa87ba3cfe138f9b243eed3f50a74e1486 | [
"Apache-2.0"
] | null | null | null | nadine/migrations/0034_stripebillingprofile.py | alvienzo720/Dep_Nadine | b23688aa87ba3cfe138f9b243eed3f50a74e1486 | [
"Apache-2.0"
] | 1 | 2020-02-24T08:23:45.000Z | 2020-02-24T08:23:45.000Z | # Generated by Django 2.0.3 on 2018-04-06 18:37
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('nadine', '0033_payment_m... | 37.769231 | 139 | 0.665988 | 823 | 0.838086 | 0 | 0 | 0 | 0 | 0 | 0 | 246 | 0.250509 |
c2f563aefb1bf16c5c0e403fa207c966d043272b | 5,212 | py | Python | compete.py | ChristopherKlix/sorting_algorithms | 5586393fb8e66d41c29c3a1a1a100fe323b6e1b6 | [
"MIT"
] | null | null | null | compete.py | ChristopherKlix/sorting_algorithms | 5586393fb8e66d41c29c3a1a1a100fe323b6e1b6 | [
"MIT"
] | null | null | null | compete.py | ChristopherKlix/sorting_algorithms | 5586393fb8e66d41c29c3a1a1a100fe323b6e1b6 | [
"MIT"
] | null | null | null | from generate import generate
from datetime import datetime
from time import sleep
# sorting algorithms
def linear_sort(unsorted_list):
list_len = len(unsorted_list)
smallest_int = 0
sorted_list = list()
for index in range(list_len):
smallest_int = 1000000
for element in unsorted_li... | 25.54902 | 95 | 0.585955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 0.205295 |
c2f6e7fc941847d3304a0d5ca32647ac0c95ed2a | 251 | py | Python | controller/index.py | YunYinORG/social | 5020e980cacd8eca39fccc36faabc584f3c3e15f | [
"Apache-2.0"
] | 4 | 2015-12-20T14:57:57.000Z | 2021-01-23T12:54:20.000Z | controller/index.py | YunYinORG/social | 5020e980cacd8eca39fccc36faabc584f3c3e15f | [
"Apache-2.0"
] | 1 | 2016-03-13T15:19:02.000Z | 2016-03-18T03:11:18.000Z | controller/index.py | YunYinORG/social | 5020e980cacd8eca39fccc36faabc584f3c3e15f | [
"Apache-2.0"
] | 4 | 2015-12-21T02:26:29.000Z | 2016-09-03T02:57:07.000Z | #!/usr/bin/env python
# coding=utf-8
import web
import lib.user as user
"""首页[done]"""
class index:
"""首页"""
def GET(self):
html = web.template.frender('templates/index.html')
name = user.getName()
return html(name)
| 16.733333 | 59 | 0.59761 | 166 | 0.640927 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 0.335907 |
c2f74385f195f0884b6d65f78882d41fbb6267cb | 19,448 | py | Python | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | models/transformer/transformer.py | lsgai/selene | ad23904cad2a5a292732ff350e7689c0b9e511f4 | [
"BSD-3-Clause-Clear"
] | null | null | null | from __future__ import absolute_import, division, print_function, unicode_literals
import json
import logging
import math
import os
import sys
from io import open
import numpy as np
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from pytorch_transformers import WEIGHTS_NAME, CONFIG_N... | 47.783784 | 121 | 0.722285 | 17,971 | 0.924054 | 0 | 0 | 0 | 0 | 0 | 0 | 10,954 | 0.563246 |
c2f98c67de6fff06f026a352c43e196aef39bfda | 1,166 | py | Python | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | 2 | 2021-11-18T09:35:42.000Z | 2021-11-18T14:46:30.000Z | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | null | null | null | setup.py | jackschultz/dbactor | 57ca01bb257d92b32d6003b56cec69e930b6ea73 | [
"MIT"
] | null | null | null | from setuptools import setup
__version__ = '0.0.3'
REQUIRES = ['psycopg2-binary']
EXTRAS_REQUIRE = {
'sqlalchemy': ['sqlalchemy'],
'jinjasql': ['jinjasql'],
'pandas': ['jinjasql', 'pandas'],
}
extras_lists = [vals for k, vals in EXTRAS_REQUIRE.items()]
# flattening the values in EXTRAS_REQUIRE from popula... | 36.4375 | 86 | 0.628645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 361 | 0.309605 |
c2fa5f8b735606c6ff049842620445e8616d3b41 | 603 | py | Python | figur/__init__.py | severinsimmler/figur | d42cf6d150cc1b8effe1b4e7093bafd8975377b3 | [
"MIT"
] | 1 | 2019-04-29T20:29:15.000Z | 2019-04-29T20:29:15.000Z | figur/__init__.py | severinsimmler/figur | d42cf6d150cc1b8effe1b4e7093bafd8975377b3 | [
"MIT"
] | 2 | 2019-03-13T14:30:08.000Z | 2019-05-28T15:41:27.000Z | figur/__init__.py | severinsimmler/figur | d42cf6d150cc1b8effe1b4e7093bafd8975377b3 | [
"MIT"
] | null | null | null | """
Figurenerkennung for German literary texts
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
`figur` is very easy to use:
```
>>> import figur
>>> text = "Der Gärtner entfernte sich eilig, und Eduard folgte bald."
>>> figur.tag(text)
SentenceId Token Tag
0 0 Der _
1 0 Gä... | 24.12 | 70 | 0.41791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 582 | 0.961983 |
c2fb06c89af3c0d869e1710b20eb4d1e629dd002 | 725 | py | Python | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | CV0101EN-09.02-frames_to_video.py | reddyprasade/Computer-Vision-with-Python | 8eebec61f0fdacb05e122460d6845a32ae506c8f | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
import os
def frames_to_video(inputpath,outputpath,fps):
image_array = []
files = [f for f in os.listdir(inputpath) if isfile(join(inputpath, f))]
files.sort(key = lambda x: int(x[5:-4]))
for i in range(len(files)):
img = cv2.imread(inputpath + files[i])
size = ... | 29 | 75 | 0.66069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0.071724 |
c2febe7880974ca6e91553584ed0bba9eac9b426 | 5,303 | py | Python | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 116 | 2018-07-11T13:19:56.000Z | 2021-07-26T17:22:44.000Z | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 1 | 2019-02-11T02:25:02.000Z | 2019-02-11T17:05:19.000Z | pbt/estimator_worker.py | Octavian-ai/mac-graph | 3ef978e8a6f79f2dcc46783d34f01934aabf7f19 | [
"Unlicense"
] | 21 | 2018-10-11T23:03:22.000Z | 2021-07-14T22:42:08.000Z |
import tensorflow as tf
import numpy as np
import traceback
import os.path
from .worker import Worker
from .param import *
from .params import *
import logging
logger = logging.getLogger(__name__)
class HeartbeatHook(tf.train.SessionRunHook):
def __init__(self, heatbeat, should_continue):
self.heatbeat = heat... | 24.896714 | 103 | 0.666227 | 4,210 | 0.79389 | 0 | 0 | 0 | 0 | 0 | 0 | 996 | 0.187818 |
6c01243ea6bcaf63004fe1fe3e588e8eca1e226b | 4,064 | py | Python | tracer/main.py | LzVv123456/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 20 | 2021-07-08T08:33:27.000Z | 2022-01-14T03:27:35.000Z | tracer/main.py | abcxubu/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 1 | 2021-10-01T12:39:11.000Z | 2021-10-01T13:19:43.000Z | tracer/main.py | abcxubu/Deep-Reinforced-Tree-Traversal | 8e117590c8cd51c9fc9c033232658876160fa638 | [
"MIT"
] | 3 | 2021-07-08T07:34:48.000Z | 2022-01-10T11:41:59.000Z | import os
import glob
import yaml
import torch
import argparse
from addict import Dict
from dataset import *
from init import *
from utilities import *
from train import *
def parse_args():
parser = argparse.ArgumentParser(description='infer')
parser.add_argument('--config', type=str, default='./tracer/train_... | 37.62963 | 137 | 0.615404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 657 | 0.161663 |
6c0605d359e470dbd90558cdc9d674b331db2e65 | 181 | py | Python | tests/acceptance/__init__.py | datphan/moviecrab | e3bcff700b994388f1ded68d268a960b10d57a81 | [
"BSD-3-Clause"
] | null | null | null | tests/acceptance/__init__.py | datphan/moviecrab | e3bcff700b994388f1ded68d268a960b10d57a81 | [
"BSD-3-Clause"
] | null | null | null | tests/acceptance/__init__.py | datphan/moviecrab | e3bcff700b994388f1ded68d268a960b10d57a81 | [
"BSD-3-Clause"
] | null | null | null | """acceptance tests"""
import unittest
from nose.plugins.attrib import attr
@attr('acc')
class AcceptanceTestCase(unittest.TestCase):
"""Base AcceptanceTestCase"""
pass
| 15.083333 | 44 | 0.729282 | 87 | 0.480663 | 0 | 0 | 100 | 0.552486 | 0 | 0 | 56 | 0.309392 |
6c0675ff607912b34920445802ae59f9d31371c8 | 4,222 | py | Python | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | 8 | 2019-08-02T02:49:42.000Z | 2022-01-17T15:51:48.000Z | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | null | null | null | test/functional/bsv-protoconf.py | bxlkm1/yulecoin | 3605faf2ff2e3c7bd381414613fc5c0234ad2936 | [
"OML"
] | 4 | 2019-08-02T02:50:44.000Z | 2021-05-28T03:21:38.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 The Bitcoin SV developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.mininode import *
from test_framework.test_framework import BitcoinTestFramework
from test_f... | 43.979167 | 143 | 0.709853 | 3,733 | 0.884178 | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 0.292515 |
6c079626dca82782593d5d2bd1f2fb59f4206ddc | 1,022 | py | Python | apps/goods/migrations/0063_auto_20200108_1555.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 12 | 2020-02-01T01:52:01.000Z | 2021-04-28T15:06:43.000Z | apps/goods/migrations/0063_auto_20200108_1555.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 5 | 2020-02-06T08:07:58.000Z | 2020-06-02T13:03:45.000Z | apps/goods/migrations/0063_auto_20200108_1555.py | lianxiaopang/camel-store-api | b8021250bf3d8cf7adc566deebdba55225148316 | [
"Apache-2.0"
] | 11 | 2020-02-03T13:07:46.000Z | 2020-11-29T01:44:06.000Z | # Generated by Django 2.1.8 on 2020-01-08 07:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('goods', '0062_auto_20191205_1656'),
]
operations = [
migrations.RenameField(
model_name='replgoodstype',
old_name='p... | 29.2 | 103 | 0.589041 | 945 | 0.910405 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.205202 |
6c09b1ff084d1e9df9670c57209d4a2a65e97d3c | 9,838 | py | Python | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | 14 | 2018-07-19T03:56:45.000Z | 2019-10-01T12:09:01.000Z | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | null | null | null | actor_critic/trainer.py | zamlz/dlcampjeju2018-I2A-cube | 85ae7a2084ca490ea685ff3d30e82720fb58c0ea | [
"MIT"
] | null | null | null |
import gym
import numpy as np
import tensorflow as tf
import time
from actor_critic.policy import A2CBuilder
from actor_critic.util import discount_with_dones, cat_entropy, fix_tf_name
from common.model import NetworkBase
from common.multiprocessing_env import SubprocVecEnv
from tqdm import tqdm
class ActorCritic(... | 37.838462 | 102 | 0.593617 | 4,193 | 0.426205 | 0 | 0 | 0 | 0 | 0 | 0 | 1,321 | 0.134275 |
6c0bbff19246f88fe29603b2519f950e3178d9cc | 23,504 | py | Python | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | 5 | 2020-08-12T07:24:12.000Z | 2022-02-23T14:04:16.000Z | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | null | null | null | src/model_ode.py | fkhiro/kws-ode | 5751f9b665511908b26e77f6ea5a97bf87823aab | [
"MIT"
] | 1 | 2020-09-03T07:28:19.000Z | 2020-09-03T07:28:19.000Z | from enum import Enum
import hashlib
import math
import os
import random
import re
from chainmap import ChainMap
from torch.autograd import Variable
import librosa
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
from .manage_audio import AudioPrepr... | 35.185629 | 200 | 0.592282 | 17,743 | 0.754893 | 0 | 0 | 3,443 | 0.146486 | 0 | 0 | 2,705 | 0.115087 |
6c0d6af23938ca6fed73a619af2c2521273b4c43 | 7,642 | py | Python | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 54 | 2019-06-21T23:29:02.000Z | 2022-03-28T14:30:44.000Z | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 28 | 2019-08-18T01:01:25.000Z | 2021-07-14T17:39:42.000Z | tests/test_snapshot.py | arkadiam/virt-backup | b3e8703ae3ab0f792f5d68913ecf5e7270acea46 | [
"BSD-2-Clause-FreeBSD"
] | 12 | 2019-07-12T10:16:03.000Z | 2022-03-09T05:33:30.000Z | import json
import os
import arrow
import libvirt
import pytest
from virt_backup.backups import DomBackup
from virt_backup.domains import get_xml_block_of_disk
from virt_backup.backups.snapshot import DomExtSnapshot, DomExtSnapshotCallbackRegistrer
from virt_backup.exceptions import DiskNotFoundError, SnapshotNotStart... | 36.390476 | 88 | 0.634258 | 7,272 | 0.951583 | 0 | 0 | 480 | 0.062811 | 0 | 0 | 1,349 | 0.176524 |
6c0dd11197119baf2f7c1d5775874b54734c6eff | 554 | py | Python | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 53 | 2018-11-13T07:02:03.000Z | 2022-03-25T00:00:04.000Z | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 324 | 2018-10-02T14:18:54.000Z | 2022-03-31T23:47:33.000Z | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 54 | 2018-10-01T16:55:09.000Z | 2022-03-28T13:56:53.000Z | import re
from . import base
class regex_search_ternary(base.Function):
"""
Ternary regex operator, it takes arguments in the following form
STR1, REGEX, STR2, STR3
If REGEX matches STR1 (re.search is used), STR2 is returned,
otherwise STR3 is returned
"""
def __init__(self):
# 4 arguments
super(regex_searc... | 25.181818 | 74 | 0.725632 | 523 | 0.944043 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.404332 |
6c0ebaf57bf48ef4c5911547b83ac2a6a45fa5e9 | 905 | py | Python | craft_ai/__init__.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 14 | 2016-08-26T07:06:57.000Z | 2020-09-22T07:41:21.000Z | craft_ai/__init__.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 94 | 2016-08-02T14:07:59.000Z | 2021-10-06T11:50:52.000Z | craft_ai/__init__.py | craft-ai/craft-ai-client-python | 3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3 | [
"BSD-3-Clause"
] | 8 | 2017-02-07T12:05:57.000Z | 2021-10-14T09:45:30.000Z | __version__ = "2.4.3"
from . import errors
from .client import Client
from .interpreter import Interpreter
from .time import Time
from .formatters import format_property, format_decision_rules
from .reducer import reduce_decision_rules
from .tree_utils import (
extract_decision_paths_from_tree,
extract_decisio... | 25.857143 | 75 | 0.764641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.469613 |
6c0f4bbb43f54fa43e4df577a49de96ebd810921 | 969 | py | Python | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 102 | 2018-04-08T23:05:00.000Z | 2022-03-31T10:10:03.000Z | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 246 | 2018-04-03T12:35:49.000Z | 2022-02-28T10:44:28.000Z | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 128 | 2018-04-14T01:39:12.000Z | 2022-03-25T08:56:51.000Z | # -*- coding: utf-8 -*-
from .instance import BlockchainInstance
from ..block import Block as SyncBlock, BlockHeader as SyncBlockHeader
from graphenecommon.aio.block import (
Block as GrapheneBlock,
BlockHeader as GrapheneBlockHeader,
)
@BlockchainInstance.inject
class Block(GrapheneBlock, SyncBlock):
"""... | 25.5 | 75 | 0.721362 | 664 | 0.685243 | 0 | 0 | 718 | 0.74097 | 0 | 0 | 569 | 0.587203 |
6c0ff50a90211a83518224c4a9e7cb96da0fbca0 | 1,015 | py | Python | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | DongbinNa/17/pt.py | wonnerky/coteMaster | 360e491e6342c1ee42ff49750b838a2ead865613 | [
"Apache-2.0"
] | null | null | null | # NxN 시험관, 바이러스 매 초 상하좌우로 증식, 낮은 번호의 바이러스부터 우선순위
# 시간동안(for) 낮은 번호부터 증식 시작. 바이러스가 있거나 matrix 범위 이상이면 stop.
# 바이러스 종류별 좌표 추가
n, k = map(int, input().split())
matrix = []
for _ in range(n):
matrix.append(list(map(int, input().split())))
s, x, y = map(int, input().split())
# 상 하 좌 우
dx = [-1, 1, 0, 0] # 위아래
dy = [0... | 23.604651 | 57 | 0.519212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 362 | 0.305485 |
6c11ff715822a78e65219cb047fa20aeb18248ac | 7,843 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/pavelib/i18n.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2022-02-06T10:48:15.000Z | 2022-02-06T10:48:15.000Z | """
Internationalization tasks
"""
import re
import subprocess
import sys
from path import Path as path
from paver.easy import cmdopts, needs, sh, task
from .utils.cmd import django_cmd
from .utils.envs import Env
from .utils.timer import timed
try:
from pygments.console import colorize
except ImportError:
... | 23.694864 | 99 | 0.651409 | 0 | 0 | 0 | 0 | 5,932 | 0.756343 | 0 | 0 | 4,836 | 0.616601 |
6c1262e89c4802e8d7e590c6c84ac0e62c5a4169 | 2,020 | py | Python | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/parsing/autolev/test-examples/ruletest9.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | import sympy.physics.mechanics as _me
import sympy as _sm
import math as m
import numpy as _np
frame_n = _me.ReferenceFrame('n')
frame_a = _me.ReferenceFrame('a')
a = 0
d = _me.inertia(frame_a, 1, 1, 1)
point_po1 = _me.Point('po1')
point_po2 = _me.Point('po2')
particle_p1 = _me.Particle('p1', _me.Point('p1_... | 36.071429 | 113 | 0.688119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 137 | 0.067822 |
6c137c12cabff00b49311cbc274302f573ef641a | 3,830 | py | Python | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | tests/test_asm_stats.py | hall-lab/tenx-gcp | f204e60cc5efb543a524df9cdbd44d0a8c590673 | [
"MIT"
] | null | null | null | import filecmp, os, tempfile, unittest
from click.testing import CliRunner
from tenx.asm_stats import asm_stats_cmd, get_contig_lengths, get_scaffold_and_contig_lengths, get_stats, length_buckets
class AsmStatsTest(unittest.TestCase):
def setUp(self):
self.data_dn = os.path.join(os.path.dirname(__file__),... | 40.315789 | 120 | 0.629243 | 3,539 | 0.924021 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.112272 |
6c1416cedaf37318b018aae01bda9b0f41f3ed30 | 3,435 | py | Python | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | 1 | 2021-06-04T03:05:06.000Z | 2021-06-04T03:05:06.000Z | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | null | null | null | utils.py | zexihuang/raft-blockchain | a2f7365e10f5a5334c59bac6b551648bae04e2e8 | [
"Apache-2.0"
] | null | null | null | import socket
import pickle
import random
import string
import time
import hashlib
import os
BUFFER_SIZE = 65536
def send_message(msg, port):
# Setup socket for the user to be send
s_temp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s_temp.connect((socket.gethostname(), port))
# encode and se... | 32.714286 | 115 | 0.616885 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 503 | 0.146434 |
6c14181d8879fcc2609ab9415e7fe2cdbb328098 | 3,850 | py | Python | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 106 | 2018-03-05T16:24:47.000Z | 2022-03-19T19:12:25.000Z | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 1,494 | 2018-02-27T17:02:21.000Z | 2022-03-24T15:10:30.000Z | api/data_refinery_api/test/test_dataset_stats.py | AlexsLemonade/refinebio | 52f44947f902adedaccf270d5f9dbd56ab47e40a | [
"BSD-3-Clause"
] | 15 | 2019-02-03T01:34:59.000Z | 2022-03-29T01:59:13.000Z | import json
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from data_refinery_api.test.test_api_general import API_VERSION
from data_refinery_common.models import (
Experiment,
ExperimentOrganismAssociation,
ExperimentSampleAssociation,
Or... | 32.627119 | 100 | 0.647013 | 3,505 | 0.91039 | 0 | 0 | 0 | 0 | 0 | 0 | 429 | 0.111429 |
6c15bfba4b8c0e66ef69eb440d0dc33cc1bed1d7 | 4,804 | py | Python | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | 2 | 2020-06-20T21:50:38.000Z | 2020-06-22T08:37:11.000Z | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | 4 | 2020-07-01T21:59:08.000Z | 2020-07-05T11:33:59.000Z | hetzner_fix_report/hetzner_fix_report.py | flxai/hetzner-fix-report | ab484a3463ed0efc6f14ebd7b45d1b2c1281fb0b | [
"MIT"
] | null | null | null | import pdftotext
import sys
import numpy as np
import pandas as pd
import regex as re
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
def get_server_type(server_type_str):
"""Check wether string is contained"""
server_type_list = server_type_str.split(' ')
if len(server_type_li... | 32.90411 | 118 | 0.59159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,574 | 0.327235 |
6c16620f0a89c9e70bfae221558f9859765dc5b0 | 3,705 | py | Python | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | 1 | 2018-02-04T01:10:20.000Z | 2018-02-04T01:10:20.000Z | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | null | null | null | src/random_forest.py | rrozema12/Data-Mining-Final-Project | 4848f3daed4b75879b626c5dc460e8dbd70ae861 | [
"MIT"
] | null | null | null | # random_forest.py
# does the random forest calcutlaions
import decision_tree
import partition
import heapq
import table_utils
import classifier_util
from homework_util import strat_folds
def run_a_table(table, indexes, class_index, N, M, F):
""" Takes a table, splits it into a training and test set. Creates a
... | 35.970874 | 90 | 0.691768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,938 | 0.523077 |
6c1838a55b525f71872539fcbbf11141e0709474 | 5,682 | py | Python | model_converter/test_freeze_pb.py | zhangmifigo/MobileDeepPill | 270538494488767a7fb36e237b72212be5cf4f45 | [
"MIT"
] | 4 | 2020-03-23T20:27:24.000Z | 2021-08-12T20:23:53.000Z | model_converter/test_freeze_pb.py | zhangmifigo/MobileDeepPill | 270538494488767a7fb36e237b72212be5cf4f45 | [
"MIT"
] | null | null | null | model_converter/test_freeze_pb.py | zhangmifigo/MobileDeepPill | 270538494488767a7fb36e237b72212be5cf4f45 | [
"MIT"
] | 3 | 2019-10-14T07:56:05.000Z | 2020-03-23T20:27:27.000Z | import tensorflow as tf
from tensorflow.python.framework import graph_util
from tensorflow.contrib.slim.python.slim.nets import alexnet
from tensorflow.python.ops import random_ops
from tensorflow.python.tools import optimize_for_inference_lib
from tensorflow.python.framework import dtypes
from tensorflow.core.framewor... | 36.896104 | 129 | 0.707673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,447 | 0.254664 |
6c184b2174364e3e55c83631e166cd7d528e99e1 | 60 | py | Python | app/comic/container_exec/__init__.py | EYRA-Benchmark/grand-challenge.org | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 2 | 2019-06-28T09:23:55.000Z | 2020-03-18T05:52:13.000Z | app/comic/container_exec/__init__.py | EYRA-Benchmark/comic | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 112 | 2019-08-12T15:13:27.000Z | 2022-03-21T15:49:40.000Z | app/comic/container_exec/__init__.py | EYRA-Benchmark/grand-challenge.org | 8264c19fa1a30ffdb717d765e2aa2e6ceccaab17 | [
"Apache-2.0"
] | 1 | 2020-03-19T14:19:57.000Z | 2020-03-19T14:19:57.000Z | default_app_config = "comic.container_exec.apps.CoreConfig"
| 30 | 59 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.633333 |
6c186e241fa2559c5801595eef7a0db1d8af608a | 18,320 | py | Python | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | 3 | 2020-03-10T13:52:37.000Z | 2020-03-15T17:19:39.000Z | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | null | null | null | run.py | RafaelCenzano/Corona-Virus-Email-Updater | 2d5bc071ab21fe8df358689862a019d400c73cd5 | [
"MIT"
] | 2 | 2020-03-10T13:52:29.000Z | 2022-01-13T19:58:28.000Z | import requests
import json
import os
from bs4 import BeautifulSoup as bs
from secret import *
from smtplib import SMTP
from datetime import datetime
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def maths(num1, num2, num3=None):
num1 = int(''.join(num1.split(',')))
num2 ... | 41.922197 | 177 | 0.593177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11,197 | 0.61119 |
6c19d7164f4d767fbe5d4431bf900ccb1c4a00d6 | 6,494 | py | Python | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | Machine_Learning/Feature_Tutorials/04-tensorflow-ai-optimizer/files/application/app_mt.py | dankernel/Vitis-Tutorials | 558791a2350327ea275917db890797a895d0fac2 | [
"Apache-2.0"
] | null | null | null | '''
Copyright 2020 Xilinx Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distr... | 29.788991 | 172 | 0.647213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,047 | 0.469202 |
6c1b6ee9b212e08f8648b06179fcaaa04a11d3e2 | 545 | py | Python | photos/migrations/0008_image_post.py | adriankiprono/imstragram_project | c4935ad745987fb53b62d116c3bc2faff20927ce | [
"MIT"
] | null | null | null | photos/migrations/0008_image_post.py | adriankiprono/imstragram_project | c4935ad745987fb53b62d116c3bc2faff20927ce | [
"MIT"
] | 4 | 2020-06-06T00:31:39.000Z | 2022-03-12T00:10:52.000Z | photos/migrations/0008_image_post.py | adriankiprono/instragram_project | c4935ad745987fb53b62d116c3bc2faff20927ce | [
"MIT"
] | null | null | null | # Generated by Django 3.0 on 2020-01-07 07:56
import datetime
from django.db import migrations
from django.utils.timezone import utc
import tinymce.models
class Migration(migrations.Migration):
dependencies = [
('photos', '0007_auto_20200107_1022'),
]
operations = [
migrations.AddField(... | 23.695652 | 113 | 0.638532 | 386 | 0.708257 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.166972 |
6c1bc99ed022294f204e51cb23b911f2274cbb0b | 525 | py | Python | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_replicant | cadd8dcb3fb1382adf39479cdd9bc7463f269fa0 | [
"BSD-3-Clause"
] | 12 | 2020-03-27T13:15:54.000Z | 2022-03-25T14:22:26.000Z | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_f1 | 08b7be7162719b92b4796f18b0caad263f90ea2f | [
"BSD-3-Clause"
] | 255 | 2019-05-10T01:08:51.000Z | 2020-01-29T18:45:32.000Z | examples/cuda/bfs/py/vcache.py | bespoke-silicon-group/bsg_replicant | cadd8dcb3fb1382adf39479cdd9bc7463f269fa0 | [
"BSD-3-Clause"
] | 8 | 2020-02-21T18:28:34.000Z | 2021-07-24T00:22:29.000Z | from vcache_utils import VCacheStats
from bfs_common import BFSParameters
import sys
import pandas as pd
class BFSVCacheStats(VCacheStats):
def _subclass_init_add_group_by_fields(self):
self._parameters = BFSParameters(self.filename)
self._parameters.updateDataFrame(self._data)
self._group_... | 29.166667 | 60 | 0.76381 | 269 | 0.512381 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.038095 |
6c1bdfa67d70b8200b8f300c42147c7b6f88c84a | 14,511 | py | Python | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | 1 | 2019-12-09T17:41:09.000Z | 2019-12-09T17:41:09.000Z | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | 2 | 2019-09-26T13:49:56.000Z | 2020-08-06T15:10:17.000Z | fgread/read.py | FASTGenomics/jupyter-fgread-py | 400eb54e2376a8a3afaa674397617fa64c33a280 | [
"MIT"
] | null | null | null | import json
import logging
import re
from pathlib import Path
from typing import Optional, Union
import pandas as pd
from . import DOCSURL, DS_URL_PREFIX, readers
# configure logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
logger.addHa... | 32.175166 | 145 | 0.591551 | 90 | 0.006202 | 0 | 0 | 0 | 0 | 0 | 0 | 6,685 | 0.460685 |
6c1c01b8e3b61397e1a5842a61751e502b73a43e | 487 | py | Python | final.py | Georgejj123/Final | a5beeb873321446e53a1c0859c0b10bf240a0dcd | [
"MIT"
] | null | null | null | final.py | Georgejj123/Final | a5beeb873321446e53a1c0859c0b10bf240a0dcd | [
"MIT"
] | null | null | null | final.py | Georgejj123/Final | a5beeb873321446e53a1c0859c0b10bf240a0dcd | [
"MIT"
] | null | null | null | # This program rolls two dices and prints what you got
# We set two variables (min and max) , lowest and highest number of the dice.
import random
min = 1
max = 6
roll_again = "yes"
# We then use a while loop, so that the user can roll the dice again.
while roll_again == "yes" or roll_again == "y":
print "Roll... | 27.055556 | 78 | 0.689938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.564682 |
6c1cbdba3744243c1b45fcbc2d0b6115c7a3d106 | 1,584 | py | Python | Script's/04 - Generadores/Generadores Basicos.py | CamiloBallen24/Python-PildorasInformaticas | a734ac064e34b01a2f64080d5391625a5de77f54 | [
"Apache-2.0"
] | null | null | null | Script's/04 - Generadores/Generadores Basicos.py | CamiloBallen24/Python-PildorasInformaticas | a734ac064e34b01a2f64080d5391625a5de77f54 | [
"Apache-2.0"
] | null | null | null | Script's/04 - Generadores/Generadores Basicos.py | CamiloBallen24/Python-PildorasInformaticas | a734ac064e34b01a2f64080d5391625a5de77f54 | [
"Apache-2.0"
] | 1 | 2019-06-04T19:51:05.000Z | 2019-06-04T19:51:05.000Z | #TEMA:GENERADORES
######################################################################
#Funcion que me regresa un numero determinado de numeros pares
def generaParesFuncion(limite):
num=1
miLista=[]
while num<limite:
miLista.append(num*2)
num = num+1
return miLista
########################################... | 21.12 | 71 | 0.395202 | 0 | 0 | 81 | 0.051136 | 0 | 0 | 0 | 0 | 964 | 0.608586 |
6c1cda3f913ecea499264b75e17f95a35ff6a498 | 443 | py | Python | lantz/qt/widgets/__init__.py | mtsolmn/lantz-qt | 72cb16bd3aafe33caa1a822ac2ba98b3425d4420 | [
"BSD-3-Clause"
] | 1 | 2020-05-13T08:29:16.000Z | 2020-05-13T08:29:16.000Z | lantz/qt/widgets/__init__.py | mtsolmn/lantz-qt | 72cb16bd3aafe33caa1a822ac2ba98b3425d4420 | [
"BSD-3-Clause"
] | null | null | null | lantz/qt/widgets/__init__.py | mtsolmn/lantz-qt | 72cb16bd3aafe33caa1a822ac2ba98b3425d4420 | [
"BSD-3-Clause"
] | 3 | 2019-09-24T16:49:10.000Z | 2020-09-23T17:53:20.000Z | # -*- coding: utf-8 -*-
"""
lantz.qt.widgets
~~~~~~~~~~~~~~~~
PyQt widgets wrapped to work with lantz.
:copyright: 2018 by Lantz Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from . import feat, nonnumeric, numeric
from .common import WidgetMixin, Childr... | 27.6875 | 68 | 0.711061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.534989 |
6c1dc30f32a47cfe9ea5fa235e76eff1529c75dd | 4,368 | py | Python | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 34 | 2017-10-24T15:04:02.000Z | 2021-09-05T17:46:43.000Z | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 8 | 2017-12-18T21:53:08.000Z | 2021-06-01T21:24:31.000Z | iotapy/storage/providers/types/transaction_metadata.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 11 | 2017-12-18T22:02:29.000Z | 2020-11-10T17:58:22.000Z | # -*- coding: utf-8 -*-
import struct
import iota
from iotapy.storage import converter as conv
TRANSACTION_METADATA_TRITS_LENGTH = 1604
HASH_BYTES_LENGTH = 49
HASH_TRITS_LENGTH = 243
def get_key(bytes_: bytes):
# Convert key bytes to iota.TransactionHash
if not isinstance(bytes_, bytes):
raise Type... | 35.225806 | 123 | 0.66163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 0.107601 |
6c1f737d01ed462f9d3028ca12a6e4e32ea970ac | 22,271 | py | Python | OC/network.py | Xin-Ye-1/HIEM | 6764f579eef6ec92dd85a005af27419f630df7da | [
"Apache-2.0"
] | 2 | 2021-04-12T02:41:00.000Z | 2021-05-15T02:18:15.000Z | OC/network.py | Xin-Ye-1/HIEM | 6764f579eef6ec92dd85a005af27419f630df7da | [
"Apache-2.0"
] | null | null | null | OC/network.py | Xin-Ye-1/HIEM | 6764f579eef6ec92dd85a005af27419f630df7da | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
import tensorflow as tf
import tensorflow.contrib.slim as slim
seed = 0
def fc2d(inputs,
num_outputs,
activation_fn,
scope, ):
with tf.variable_scope(scope, reuse=tf.AUTO_REUSE) as s:
n0, n1, n2 = inputs.get_shape().as_list()
weights = tf.get_var... | 55.6775 | 140 | 0.504917 | 20,347 | 0.91361 | 0 | 0 | 0 | 0 | 0 | 0 | 1,052 | 0.047236 |
6c1f784f7fc92dd4f1d6302efb41edae068a6f5e | 5,980 | py | Python | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | Student Database/last.py | manas1410/Miscellaneous-Development | 8ffd2b586cb05b12ed0855d97c3015c8bb2a6c01 | [
"MIT"
] | null | null | null | from tkinter import*
import website
import tkinter.font as font
from PIL import ImageTk,Image
import os
import sqlite3
import webbrowser
def main():
cgnc=Tk()
cgnc.title('Show')
cgnc.iconbitmap("logo/spectrumlogo.ico")
f=font.Font(family='Bookman Old Style',size=10,weight='bold')
f1=fo... | 30.824742 | 133 | 0.533779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,307 | 0.218562 |
6c1ff08cd085c626e8f3f1328f189116ff83820d | 4,650 | py | Python | app/main.py | govdirectory/health-check-service | c32e1055e1c755fdb03e2786dc0a157697250421 | [
"CC0-1.0"
] | 1 | 2021-09-28T00:09:18.000Z | 2021-09-28T00:09:18.000Z | app/main.py | govdirectory/health-check-service | c32e1055e1c755fdb03e2786dc0a157697250421 | [
"CC0-1.0"
] | null | null | null | app/main.py | govdirectory/health-check-service | c32e1055e1c755fdb03e2786dc0a157697250421 | [
"CC0-1.0"
] | null | null | null | import requests
from typing import List
from fastapi import FastAPI, Path
from pydantic import BaseModel, HttpUrl
from fastapi.middleware.cors import CORSMiddleware
cors_origins = [
'https://www.govdirectory.org',
'https://www.wikidata.org',
]
user_agent_external = 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; r... | 29.807692 | 170 | 0.543871 | 94 | 0.020215 | 0 | 0 | 1,798 | 0.386667 | 1,751 | 0.376559 | 1,872 | 0.402581 |
6c2088e0cf4acb484abbd57109fedff77aded588 | 569 | py | Python | lie2me/fields/password.py | hugollm/lie2me | c3b47e88264a32c10c893368987c4d8a3df054d9 | [
"MIT"
] | null | null | null | lie2me/fields/password.py | hugollm/lie2me | c3b47e88264a32c10c893368987c4d8a3df054d9 | [
"MIT"
] | null | null | null | lie2me/fields/password.py | hugollm/lie2me | c3b47e88264a32c10c893368987c4d8a3df054d9 | [
"MIT"
] | null | null | null | from ..field import Field
class Password(Field):
min = None
max = None
messages = {
'min': 'Must be at least {min} characters long.',
'max': 'Must have no more than {max} characters.',
}
def is_empty(self, value):
return value is None or value is ''
def validate(sel... | 23.708333 | 58 | 0.567663 | 540 | 0.949033 | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 0.184534 |
6c21574006d86d8b50934be4fe7a2c2e0d87d074 | 5,933 | py | Python | src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py | dSar-UVA/repoMiner | 8f75074e388ff13419a0a37b4337c0cdcb459f74 | [
"BSD-3-Clause"
] | 9 | 2017-10-21T13:29:46.000Z | 2022-01-10T23:49:54.000Z | src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py | dSar-UVA/repoMiner | 8f75074e388ff13419a0a37b4337c0cdcb459f74 | [
"BSD-3-Clause"
] | 3 | 2018-01-09T11:28:55.000Z | 2019-01-20T08:45:18.000Z | src/szz/manipulate_sql_tables/add_depth_to_BTE_table.py | dSar-UVA/repoMiner | 8f75074e388ff13419a0a37b4337c0cdcb459f74 | [
"BSD-3-Clause"
] | 1 | 2020-12-29T05:10:31.000Z | 2020-12-29T05:10:31.000Z | """
This script adds a specific column to the `bug_type_entropy_projectname_old` tables. The added column contains the nesting depth (>=0) of each line.
"""
import os, sys, psycopg2, ntpath, traceback, subprocess
from pprint import pprint
#-------------------------------------------------------------------------------... | 40.917241 | 148 | 0.539019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,008 | 0.506995 |
6c21d95c779b91777f1c1e4c2f9a294fa6bd8d6e | 10,862 | py | Python | tools/ProjectionTools/Lidar2RGB/lib/utils.py | ladt/SeeingThroughFog | c714a4c3e8f8e604494b1db6e9eef529b0326405 | [
"MIT"
] | null | null | null | tools/ProjectionTools/Lidar2RGB/lib/utils.py | ladt/SeeingThroughFog | c714a4c3e8f8e604494b1db6e9eef529b0326405 | [
"MIT"
] | null | null | null | tools/ProjectionTools/Lidar2RGB/lib/utils.py | ladt/SeeingThroughFog | c714a4c3e8f8e604494b1db6e9eef529b0326405 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
import cv2
import scipy.spatial
from sklearn.linear_model import RANSACRegressor
import os
import sys
import inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parent... | 39.498182 | 147 | 0.612042 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,304 | 0.212116 |
6c221044ede7be29a963c10b013a344a5da5c962 | 2,221 | py | Python | menu.py | RandelSouza/Space_Invaders | d266662a84b2324fd398fbb31b3f0a2004b40c99 | [
"MIT"
] | null | null | null | menu.py | RandelSouza/Space_Invaders | d266662a84b2324fd398fbb31b3f0a2004b40c99 | [
"MIT"
] | null | null | null | menu.py | RandelSouza/Space_Invaders | d266662a84b2324fd398fbb31b3f0a2004b40c99 | [
"MIT"
] | null | null | null | from setup import *
import pygame, sys, os
from pygame.locals import *
class Menu( object ):
def __init__( self ):
self.init = pygame.init()
self.font = pygame.font.Font(None, 80)
self.screen = pygame.display.set_mode( [ LARGURA, ALTURA ] )
self.background = pygame.image.load( "im... | 34.169231 | 112 | 0.547951 | 2,148 | 0.967132 | 0 | 0 | 0 | 0 | 0 | 0 | 238 | 0.107159 |
6c22c119dc085d095980f04411cdc49210dadf86 | 459 | py | Python | investing_algorithm_framework/app/stateless/action_handlers/check_online_handler.py | investing-algorithms/investing-algorithm-framework | d579e142a3857e2e2dfb59b7d6e54202f7df5466 | [
"Apache-2.0"
] | 1 | 2019-12-23T21:23:45.000Z | 2019-12-23T21:23:45.000Z | investing_algorithm_framework/app/stateless/action_handlers/check_online_handler.py | investing-algorithms/investing-algorithm-framework | d579e142a3857e2e2dfb59b7d6e54202f7df5466 | [
"Apache-2.0"
] | null | null | null | investing_algorithm_framework/app/stateless/action_handlers/check_online_handler.py | investing-algorithms/investing-algorithm-framework | d579e142a3857e2e2dfb59b7d6e54202f7df5466 | [
"Apache-2.0"
] | 1 | 2019-12-23T21:23:50.000Z | 2019-12-23T21:23:50.000Z | import json
from investing_algorithm_framework.app.stateless.action_handlers \
.action_handler_strategy import ActionHandlerStrategy
class CheckOnlineHandler(ActionHandlerStrategy):
MESSAGE = {"message": "online"}
def handle_event(self, payload, algorithm_context):
return {
"statusCod... | 30.6 | 66 | 0.690632 | 319 | 0.694989 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.165577 |
6c239288cab4c6c0e0a6b09c9cc9d94248d11f8f | 20,757 | py | Python | main.py | AniruddhaGawali/Hand_Cricket | 71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb | [
"Apache-2.0"
] | 1 | 2020-11-08T07:38:58.000Z | 2020-11-08T07:38:58.000Z | main.py | AniruddhaGawali/Hand_Cricket | 71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb | [
"Apache-2.0"
] | null | null | null | main.py | AniruddhaGawali/Hand_Cricket | 71fcf5ffa49dbfcfdfceba9784d88c5adfd0fccb | [
"Apache-2.0"
] | null | null | null | # ---------------------------------------------------------------ALL REQUIRD FILES-------------------------------------------------------------
from tkinter import *
import tkinter.ttk as ttk
import tkinter.messagebox as msg
import tkinter.filedialog as tf
from ttkthemes import ThemedStyle
from PIL import Image, Image... | 36.803191 | 158 | 0.620321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,431 | 0.261647 |
6c24371f8f3543e387962e5276370824b85090e5 | 108 | py | Python | model/__init__.py | SunnyMarkLiu/Kaggle_Invasive_Species_Monitoring | a103d4d4811c7b359f07e34aeb69fa7637adae35 | [
"MIT"
] | null | null | null | model/__init__.py | SunnyMarkLiu/Kaggle_Invasive_Species_Monitoring | a103d4d4811c7b359f07e34aeb69fa7637adae35 | [
"MIT"
] | 1 | 2017-08-29T13:08:18.000Z | 2017-08-29T13:08:18.000Z | model/__init__.py | SunnyMarkLiu/Kaggle_Invasive_Species_Monitoring | a103d4d4811c7b359f07e34aeb69fa7637adae35 | [
"MIT"
] | null | null | null | #!/usr/local/miniconda2/bin/python
# _*_ coding: utf-8 _*_
"""
@author: MarkLiu
@time : 17-6-19 下午8:44
""" | 15.428571 | 34 | 0.62963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.973214 |
6c26670f1bac191aee07007494c6fa726372a36b | 11,451 | py | Python | Game/game_functions.py | Gabriel-limadev/Alien-Invasion | 1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf | [
"MIT"
] | 3 | 2021-09-11T16:35:20.000Z | 2021-09-25T02:42:04.000Z | Game/game_functions.py | Gabriel-limadev/Invasao-Alienigena | 1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf | [
"MIT"
] | null | null | null | Game/game_functions.py | Gabriel-limadev/Invasao-Alienigena | 1b8b1ad7dfe9cf5cd99ff0595eedf3eb78953eaf | [
"MIT"
] | 1 | 2022-02-28T01:06:15.000Z | 2022-02-28T01:06:15.000Z | import sys #Fornece funções e variáveis para manipular partes do ambiente de tempo de execução do Python
from time import sleep
import pygame
from settings import Settings
from game_stats import GameStats
from bullet import Bullet
from alien import Alien
def check_keydown_events(event, ai_settings, screen, stats, sb... | 36.352381 | 117 | 0.687189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,686 | 0.320021 |
6c27c7aa14b6a3a742020fc655ba28804b70f883 | 98 | py | Python | rover-stub/accelsensor.py | GamesCreatorsClub/GCC-Rover | 25a69f62a1bb01fc421924ec39f180f50d6a640b | [
"MIT"
] | 3 | 2018-02-13T21:39:55.000Z | 2018-04-26T18:17:39.000Z | rover-stub/accelsensor.py | GamesCreatorsClub/GCC-Rover | 25a69f62a1bb01fc421924ec39f180f50d6a640b | [
"MIT"
] | null | null | null | rover-stub/accelsensor.py | GamesCreatorsClub/GCC-Rover | 25a69f62a1bb01fc421924ec39f180f50d6a640b | [
"MIT"
] | null | null | null |
#
# Copyright 2016-2017 Games Creators Club
#
# MIT License
#
from sonarsensor_service import *
| 10.888889 | 41 | 0.744898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.581633 |
6c2a16cd533af1320b7486ce971ab489987fbb0b | 806 | py | Python | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | import numpy as np
from CelestialMechanics.kepler.constants import K
def mu_sun(m2_over_m1: float) -> float:
"""
mu = k * sqrt(1 + m2/m1)
:param m2_over_m1:
:type m2_over_m1:
:return: mu
:rtype: float
"""
mu = K * np.sqrt(1. + m2_over_m1)
return mu * mu
def mu_na(n: float, a: ... | 16.791667 | 49 | 0.545906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 441 | 0.547146 |
6c2ea613a50a1e1e9624048d804bb8ed4e0017dd | 3,276 | py | Python | herbstluftwm/hl_panel_content.py | FAUSheppy/config | 998e13f71a4b48c60f645470631cf937586be2fd | [
"Unlicense"
] | 1 | 2019-05-07T13:03:10.000Z | 2019-05-07T13:03:10.000Z | herbstluftwm/hl_panel_content.py | FAUSheppy/config | 998e13f71a4b48c60f645470631cf937586be2fd | [
"Unlicense"
] | null | null | null | herbstluftwm/hl_panel_content.py | FAUSheppy/config | 998e13f71a4b48c60f645470631cf937586be2fd | [
"Unlicense"
] | null | null | null | #!/usr/bin/python3
import hl_utils
from hl_constants import *
import string
import re
from datetime import datetime
def guthaben():
guthaben = ''
if hl_utils.is_cip():
raw = ""
with open(hl_utils.hlpath(PRINT_LOG)) as f:
raw = f.read();
... | 31.2 | 100 | 0.501832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 0.099206 |
6c2eba18adaa6d56cede8b191f75d6ce31f0cf4f | 1,368 | py | Python | views.py | vigilcommunity/mega-project | 09a44c76170c71ee4c1d206fb0942b72c65ff45f | [
"MIT"
] | null | null | null | views.py | vigilcommunity/mega-project | 09a44c76170c71ee4c1d206fb0942b72c65ff45f | [
"MIT"
] | null | null | null | views.py | vigilcommunity/mega-project | 09a44c76170c71ee4c1d206fb0942b72c65ff45f | [
"MIT"
] | null | null | null | import datetime
from django.contrib import messages
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from vigil_ctf_app.EmailBackEnd import EmailBackEnd
#Authentication views ONLY... | 29.106383 | 120 | 0.710526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.174708 |
6c2f5071a275540f672417776634a7f3cf12f94d | 19,223 | py | Python | graph-measures/features_algorithms/vertices/motifs.py | Unknown-Data/QGCN | e074ada31c13b6de6eabba2b2ebce90e88fdfdbf | [
"MIT"
] | 3 | 2021-04-21T16:06:51.000Z | 2022-03-31T12:09:01.000Z | graph-measures/features_algorithms/vertices/motifs.py | Unknown-Data/QGCN | e074ada31c13b6de6eabba2b2ebce90e88fdfdbf | [
"MIT"
] | 1 | 2021-02-04T07:48:16.000Z | 2021-02-24T23:01:41.000Z | graph-measures/features_algorithms/vertices/motifs.py | Unknown-Data/QGCN | e074ada31c13b6de6eabba2b2ebce90e88fdfdbf | [
"MIT"
] | null | null | null | import os
import pickle
from functools import partial
from itertools import permutations, combinations
import networkx as nx
import numpy as np
from bitstring import BitArray
from collections import Counter
try:
from graph_measures.features_infra.feature_calculators import NodeFeatureCalculator, Featur... | 41.78913 | 121 | 0.572179 | 13,597 | 0.70733 | 6,806 | 0.354055 | 317 | 0.016491 | 0 | 0 | 6,708 | 0.348957 |
6c313c1861eaf709490f1bb0d7760b28295d8922 | 2,885 | py | Python | src/PostProcessing.py | PedroCardouzo/XML_Analyzer | aa4d9069f65aed927d7ecdc59ad36f823abc4c0c | [
"MIT"
] | null | null | null | src/PostProcessing.py | PedroCardouzo/XML_Analyzer | aa4d9069f65aed927d7ecdc59ad36f823abc4c0c | [
"MIT"
] | null | null | null | src/PostProcessing.py | PedroCardouzo/XML_Analyzer | aa4d9069f65aed927d7ecdc59ad36f823abc4c0c | [
"MIT"
] | null | null | null | from src import XMLAnalyzerException
import lxml.etree as ET
from src.Structures import *
from src import XMLFilter
from src import XMLUtil
import constants
import re
from src.xml_decoder import html_entitize
def apply_all(xml, post_processes):
for post_process in post_processes:
xml = apply(xml, post_proc... | 32.784091 | 121 | 0.609359 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 468 | 0.162218 |
6c31ccf0bc17c144c7bcad4490fb8229ffccbad2 | 4,954 | py | Python | sigpy/mri/rf/sim.py | jonbmartin/sigpy-rf-staging | 1be409a1ce0799574f1a979044b02fe21a19bf5d | [
"BSD-3-Clause"
] | null | null | null | sigpy/mri/rf/sim.py | jonbmartin/sigpy-rf-staging | 1be409a1ce0799574f1a979044b02fe21a19bf5d | [
"BSD-3-Clause"
] | null | null | null | sigpy/mri/rf/sim.py | jonbmartin/sigpy-rf-staging | 1be409a1ce0799574f1a979044b02fe21a19bf5d | [
"BSD-3-Clause"
] | null | null | null | """RF Pulse Simulation Functions.
"""
from sigpy import backend
__all__ = ['abrm', 'abrm_nd', 'abrm_hp']
def abrm(rf, x, balanced=False):
r"""1D RF pulse simulation, with simultaneous RF + gradient rotations.
Args:
rf (array): rf waveform input.
x (array): spatial locations.
bala... | 30.207317 | 79 | 0.489705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,220 | 0.448123 |
6c31d41587961f18210049838ec530657f3a5618 | 821 | py | Python | lint.py | fmacpro/apache-virtualhost-configuration-examples | 4c341ccb96c2e17cb9063bf1cae342ad4ee72e26 | [
"MIT"
] | null | null | null | lint.py | fmacpro/apache-virtualhost-configuration-examples | 4c341ccb96c2e17cb9063bf1cae342ad4ee72e26 | [
"MIT"
] | null | null | null | lint.py | fmacpro/apache-virtualhost-configuration-examples | 4c341ccb96c2e17cb9063bf1cae342ad4ee72e26 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# apachelint - simple tool to cleanup apache conf files
# USAGE: apachelint [conffile]
# -*-Python-*-
import sys
import re
filename = sys.argv[1]
indentlevel = 0
indentstep = 4
prevlineblank = False
with open(filename) as f:
for line in f:
# strip leading & trailing space / line en... | 22.805556 | 55 | 0.528624 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.269184 |
6c3476c6da1a1f1dd98c6128ba3f0c07c7db39ea | 931 | py | Python | spefit/common/basic.py | watsonjj/spefit | 7a3931c5a59e43a73e2e48fe3cd352e20a706460 | [
"BSD-3-Clause"
] | null | null | null | spefit/common/basic.py | watsonjj/spefit | 7a3931c5a59e43a73e2e48fe3cd352e20a706460 | [
"BSD-3-Clause"
] | null | null | null | spefit/common/basic.py | watsonjj/spefit | 7a3931c5a59e43a73e2e48fe3cd352e20a706460 | [
"BSD-3-Clause"
] | null | null | null | """Vectorized math formulae"""
from numba import vectorize, int64, float64
from math import lgamma, exp, isnan, log
__all__ = ["binom", "xlogy"]
@vectorize([float64(int64, int64)], fastmath=True)
def binom(n, k):
"""Obtain the binomial coefficient, using a definition that is mathematically
equivalent but num... | 29.09375 | 81 | 0.657358 | 0 | 0 | 0 | 0 | 779 | 0.836735 | 0 | 0 | 539 | 0.578947 |
6c35a72377a5c784fe27610ba9ce572e4beeb277 | 1,171 | py | Python | main.py | Yash7689/copy-data-from-1-txt-to-another | 1ab88c89209088b04c2105c5db4342029a079219 | [
"Apache-2.0"
] | null | null | null | main.py | Yash7689/copy-data-from-1-txt-to-another | 1ab88c89209088b04c2105c5db4342029a079219 | [
"Apache-2.0"
] | null | null | null | main.py | Yash7689/copy-data-from-1-txt-to-another | 1ab88c89209088b04c2105c5db4342029a079219 | [
"Apache-2.0"
] | null | null | null | # @Copyright [2021] [Yash Bajaj]
import fileinput as fi
# This module replaces the word <|SPACE|> with a new line (code line 18)
def writer():
with open("c:/PycharmProjects/copy_data_from_1_file_to_another/input.txt", "w") as writer:
data = input("Whatever you will write will be present in input.txt - ")
... | 37.774194 | 123 | 0.681469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 738 | 0.630231 |