hexsha stringlengths 40 40 | size int64 1 1.03M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 239 | max_stars_repo_name stringlengths 5 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 239 | max_issues_repo_name stringlengths 5 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 239 | max_forks_repo_name stringlengths 5 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.03M | avg_line_length float64 1 958k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
795236d47b3fabc037de675331efa5a541e17a5f | 9,140 | py | Python | xclim/testing/tests/test_cli.py | fossabot/xclim | 31fbdce6545d29e8a762b64b880e04eeb601f9eb | [
"Apache-2.0"
] | null | null | null | xclim/testing/tests/test_cli.py | fossabot/xclim | 31fbdce6545d29e8a762b64b880e04eeb601f9eb | [
"Apache-2.0"
] | null | null | null | xclim/testing/tests/test_cli.py | fossabot/xclim | 31fbdce6545d29e8a762b64b880e04eeb601f9eb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Tests for `xclim` package, command line interface
import numpy as np
import pytest
import xarray as xr
from click.testing import CliRunner
import xclim
from xclim.cli import cli
from xclim.testing import open_dataset
try:
from dask.distributed import Client
except I... | 27.95107 | 92 | 0.595295 |
795238cdd140f802daad16798b0f06c4193fee09 | 1,908 | py | Python | encoding.py | AnuragAnalog/Machine-learning | 4ec2657524cb54d715b0bddeb7d8ea3b7644a302 | [
"MIT"
] | 2 | 2020-02-23T07:08:08.000Z | 2020-06-15T15:11:36.000Z | encoding.py | AnuragAnalog/Machine-learning | 4ec2657524cb54d715b0bddeb7d8ea3b7644a302 | [
"MIT"
] | 1 | 2020-01-08T13:30:33.000Z | 2020-01-08T13:30:33.000Z | encoding.py | AnuragAnalog/Machine-learning | 4ec2657524cb54d715b0bddeb7d8ea3b7644a302 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import numpy as np
class OneHotEncoder():
def __init__(self):
self.unique = dict()
self.fit_called = False
self.row = 2
self.column = 2
def __str__(self):
if self.fit_called:
return "Encoding is: "+str(self.unique)
else:
... | 25.44 | 80 | 0.527778 |
795239ab78c6ead04df71b340941a444cfc25d19 | 61,589 | py | Python | pandas/plotting/_core.py | liaoaoyuan97/pandas | 6e707f2f68a4ed7fd990438bc489374641374cff | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-03-24T21:56:40.000Z | 2021-03-24T21:56:40.000Z | pandas/plotting/_core.py | amrezz13/pandas | 2fad6a38f8ecb1f4f7568ca57cb974f7f058cb9d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/plotting/_core.py | amrezz13/pandas | 2fad6a38f8ecb1f4f7568ca57cb974f7f058cb9d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | import importlib
from typing import TYPE_CHECKING, Optional, Sequence, Tuple, Union
from pandas._config import get_option
from pandas._typing import Label
from pandas.util._decorators import Appender, Substitution
from pandas.core.dtypes.common import is_integer, is_list_like
from pandas.core.dtypes.generic import A... | 34.197113 | 88 | 0.567634 |
79523a4c312c1f4481d0cf4659af74932bbf980b | 1,438 | py | Python | conans/test/functional/settings_constraint_test.py | wahlm/conan | 1afadb5cca9e1c688c7b37c69a0ff3c6a6dbe257 | [
"MIT"
] | null | null | null | conans/test/functional/settings_constraint_test.py | wahlm/conan | 1afadb5cca9e1c688c7b37c69a0ff3c6a6dbe257 | [
"MIT"
] | null | null | null | conans/test/functional/settings_constraint_test.py | wahlm/conan | 1afadb5cca9e1c688c7b37c69a0ff3c6a6dbe257 | [
"MIT"
] | null | null | null | import unittest
from conans.test.utils.tools import TestClient
from conans.util.files import save
import os
class SettingConstraintTest(unittest.TestCase):
def settings_constraint_test(self):
conanfile = """from conans import ConanFile
class Test(ConanFile):
name = "Hello"
version = "0.1"
set... | 39.944444 | 91 | 0.653686 |
79523acce2a54299a63e6840c2e0f7c465ab818f | 1,939 | py | Python | contest/abc156/D.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc156/D.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc156/D.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | MOD = 10 ** 9 + 7
class ModInt:
def __init__(self, x):
self.x = x % MOD
def __str__(self):
return str(self.x)
__repr__ = __str__
def __add__(self, other):
return (
ModInt(self.x + other.x) if isinstance(other, ModInt) else
ModInt(self.x + other)
... | 24.2375 | 79 | 0.507478 |
79523ad7c4bc264cf85af4a15171c2d3980018f5 | 4,070 | py | Python | examples/scara/animation.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | examples/scara/animation.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | examples/scara/animation.py | yinanl/rocs | bf2483903e39f4c0ea254a9ef56720a1259955ad | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import re
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.lines as lines
import matplotlib.animation as animation
import sys
from os.path import dirname, realpath
pypath = dirname(dirname(dirname(realpath(__file__)))) + '/python/'
sys.path.insert(1, pypath)
from... | 31.796875 | 76 | 0.578624 |
79523afeaa88924ca2693659a2e3adab3587009d | 39 | py | Python | examples/celery/client.py | mastak/pybrake | 32968efbebea07580680f16228be818726c13933 | [
"MIT"
] | 36 | 2018-04-24T09:26:12.000Z | 2022-02-17T13:44:41.000Z | examples/celery/client.py | mastak/pybrake | 32968efbebea07580680f16228be818726c13933 | [
"MIT"
] | 90 | 2018-03-06T15:13:53.000Z | 2022-03-25T11:32:25.000Z | examples/celery/client.py | mastak/pybrake | 32968efbebea07580680f16228be818726c13933 | [
"MIT"
] | 21 | 2018-04-04T14:50:12.000Z | 2022-03-23T05:48:51.000Z | from tasks import add
add.delay(4, 4)
| 9.75 | 21 | 0.717949 |
79523b8d4d3293a476946b65f6dbae10ebd073c7 | 4,052 | py | Python | gae/layers.py | floregol/gae | d5db3f32a8d26001a9b44f7a863a75a61807461f | [
"MIT"
] | null | null | null | gae/layers.py | floregol/gae | d5db3f32a8d26001a9b44f7a863a75a61807461f | [
"MIT"
] | null | null | null | gae/layers.py | floregol/gae | d5db3f32a8d26001a9b44f7a863a75a61807461f | [
"MIT"
] | null | null | null | from gae.initializations import *
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
# global unique layer ID dictionary for layer name assignment
_LAYER_UIDS = {}
def get_layer_uid(layer_name=''):
"""Helper function, assigns unique layer IDs
"""
if layer_name not in _LAYER_UIDS:
_... | 33.487603 | 107 | 0.638944 |
79523ba966f2526d316bb824bb1a129f8f2f69ee | 2,895 | py | Python | djstripe/contrib/rest_framework/views.py | Korben11/dj-stripe | 06661c174f0cda52b33be9a421f8b80438d71ab0 | [
"MIT"
] | null | null | null | djstripe/contrib/rest_framework/views.py | Korben11/dj-stripe | 06661c174f0cda52b33be9a421f8b80438d71ab0 | [
"MIT"
] | null | null | null | djstripe/contrib/rest_framework/views.py | Korben11/dj-stripe | 06661c174f0cda52b33be9a421f8b80438d71ab0 | [
"MIT"
] | null | null | null | """
.. module:: dj-stripe.contrib.rest_framework.views.
:synopsis: Views for the dj-stripe REST API.
.. moduleauthor:: Philippe Luickx (@philippeluickx)
"""
from rest_framework import status
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.v... | 34.058824 | 84 | 0.648705 |
79523bc1d88d5b25c01fb290e8b37b77fb78ab35 | 2,719 | py | Python | ui/widgets/video.py | AP-Atul/Torpido | a646b4d6de7f2e2c96de4c64ce3113f53e3931c2 | [
"Unlicense"
] | 21 | 2020-12-23T07:13:10.000Z | 2022-01-12T10:32:22.000Z | ui/widgets/video.py | AP-Atul/Torpido | a646b4d6de7f2e2c96de4c64ce3113f53e3931c2 | [
"Unlicense"
] | 2 | 2020-12-30T10:45:42.000Z | 2021-09-25T09:52:00.000Z | ui/widgets/video.py | AP-Atul/Torpido | a646b4d6de7f2e2c96de4c64ce3113f53e3931c2 | [
"Unlicense"
] | 1 | 2021-02-06T21:39:41.000Z | 2021-02-06T21:39:41.000Z | """ QWidget for Open cv im show alternative with Qt """
import cv2
import numpy as np
from PyQt5 import QtCore, QtWidgets, QtGui
from PyQt5.QtGui import QPixmap, QImage
from PyQt5.QtWidgets import QMainWindow, QLabel
class OpenCVQImage(QtGui.QImage):
""" Conversion of open cv image to QImage """
def __init_... | 31.252874 | 91 | 0.614564 |
79523bee7dba5a4e57064a2c4fa6da646614ceac | 3,626 | py | Python | cfgov/v1/management/commands/update_data_snapshot_values.py | higs4281/cfgov-refresh | a02b193fb2373d443265c21845adf8a196e05675 | [
"CC0-1.0"
] | 1 | 2019-11-26T20:18:22.000Z | 2019-11-26T20:18:22.000Z | cfgov/v1/management/commands/update_data_snapshot_values.py | higs4281/cfgov-refresh | a02b193fb2373d443265c21845adf8a196e05675 | [
"CC0-1.0"
] | 8 | 2021-03-11T00:55:51.000Z | 2022-02-13T21:10:14.000Z | cfgov/v1/management/commands/update_data_snapshot_values.py | higs4281/cfgov-refresh | a02b193fb2373d443265c21845adf8a196e05675 | [
"CC0-1.0"
] | 1 | 2019-12-28T14:04:07.000Z | 2019-12-28T14:04:07.000Z | import json
import logging
import os
from django.core.management.base import BaseCommand
from v1.models.browse_page import BrowsePage
from v1.tests.wagtail_pages.helpers import publish_changes
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = 'Monthly updates to data snapshot values'
... | 37.770833 | 79 | 0.608935 |
79523d1fbc085ed5592b2e401854fe1a8138a05b | 519 | py | Python | questions.py | guptaaastha/quiz | db0dbb005e91b7e418f97e8cdf1329da6ac088ff | [
"MIT"
] | null | null | null | questions.py | guptaaastha/quiz | db0dbb005e91b7e418f97e8cdf1329da6ac088ff | [
"MIT"
] | null | null | null | questions.py | guptaaastha/quiz | db0dbb005e91b7e418f97e8cdf1329da6ac088ff | [
"MIT"
] | null | null | null | question_prompts = [
"In olden days people used the bark of the ________ tree to make a medicine for Malaria.\n (a)Cinchona\n (b)Banyan\n (c)Peepal\n\n",
"On which day the world water day is celebrated?\n (a)23rd March\n (b)22nd March\n (c)21st March\n\n",
"Which is a method to prevent rust?\n (a)Crystallization\n (b)S... | 86.5 | 159 | 0.739884 |
79523d2b3a60a9b1bf3f0b7d6b706b9174736b66 | 12,502 | py | Python | detectron/utils/boxes.py | singhnarotam1997/Detectron | ecc6b25fc8869486126f1384b4e6e042a718bd5b | [
"Apache-2.0"
] | 60 | 2021-08-07T09:16:52.000Z | 2022-03-14T09:09:00.000Z | detectron/utils/boxes.py | singhnarotam1997/Detectron | ecc6b25fc8869486126f1384b4e6e042a718bd5b | [
"Apache-2.0"
] | 4 | 2021-10-14T02:44:49.000Z | 2022-03-14T08:18:20.000Z | detectron/utils/boxes.py | singhnarotam1997/Detectron | ecc6b25fc8869486126f1384b4e6e042a718bd5b | [
"Apache-2.0"
] | 11 | 2021-11-01T00:30:37.000Z | 2021-12-08T10:01:52.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
##############################################################################
#
# Based on:
# -----------------------------... | 37.770393 | 80 | 0.610942 |
79523d32928d5b66646be72dc85788219dbf989e | 3,032 | py | Python | nova/db/api/migrations/env.py | MagnusR/nova | 798b8d2d825fcf259279ba4370e734242598f76f | [
"Apache-2.0"
] | null | null | null | nova/db/api/migrations/env.py | MagnusR/nova | 798b8d2d825fcf259279ba4370e734242598f76f | [
"Apache-2.0"
] | 3 | 2019-05-17T15:49:12.000Z | 2019-11-21T10:49:54.000Z | nova/db/api/migrations/env.py | MagnusR/nova | 798b8d2d825fcf259279ba4370e734242598f76f | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 31.915789 | 79 | 0.722296 |
79523e7b163963d02daf1131c462ffb25713ab85 | 12,850 | py | Python | asreview/review/factory.py | DominiqueMaciejewski/asreview | eb1066074613a5f6f930ff610ff92184e9244f4f | [
"Apache-2.0"
] | 280 | 2020-02-06T12:40:16.000Z | 2022-03-19T21:13:55.000Z | asreview/review/factory.py | DominiqueMaciejewski/asreview | eb1066074613a5f6f930ff610ff92184e9244f4f | [
"Apache-2.0"
] | 519 | 2020-02-06T12:08:29.000Z | 2022-03-31T16:02:01.000Z | asreview/review/factory.py | DominiqueMaciejewski/asreview | eb1066074613a5f6f930ff610ff92184e9244f4f | [
"Apache-2.0"
] | 77 | 2020-03-06T15:22:08.000Z | 2022-03-30T11:21:06.000Z | # Copyright 2019-2020 The ASReview 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 appl... | 40.793651 | 82 | 0.583502 |
79523e98d86d0844dbe52845ad09d768b13b8c35 | 427 | py | Python | accelerator/migrations/0071_partnerteammember_champion_admin.py | masschallenge/django-accelerator | 8af898b574be3b8335edc8961924d1c6fa8b5fd5 | [
"MIT"
] | 6 | 2017-06-14T19:34:01.000Z | 2020-03-08T07:16:59.000Z | accelerator/migrations/0071_partnerteammember_champion_admin.py | masschallenge/django-accelerator | 8af898b574be3b8335edc8961924d1c6fa8b5fd5 | [
"MIT"
] | 160 | 2017-06-20T17:12:13.000Z | 2022-03-30T13:53:12.000Z | accelerator/migrations/0071_partnerteammember_champion_admin.py | masschallenge/django-accelerator | 8af898b574be3b8335edc8961924d1c6fa8b5fd5 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.10 on 2021-08-26 17:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accelerator', '0070_judginground_champion_partner_label')
]
operations = [
migrations.AddField(
model_name='partnerteammember',... | 22.473684 | 67 | 0.639344 |
79523eb4acb1729bfa56a8a1f4d17b5c1574642e | 12,690 | py | Python | webapp/python/app.py | g4-5u/isucon7-qualify | 4598bbe1941a5df14e55c7150970a3f16e32bcfc | [
"MIT"
] | null | null | null | webapp/python/app.py | g4-5u/isucon7-qualify | 4598bbe1941a5df14e55c7150970a3f16e32bcfc | [
"MIT"
] | null | null | null | webapp/python/app.py | g4-5u/isucon7-qualify | 4598bbe1941a5df14e55c7150970a3f16e32bcfc | [
"MIT"
] | null | null | null | import MySQLdb.cursors
import flask
import functools
import hashlib
import math
import os
import pathlib
import random
import string
import tempfile
import time
from flask_caching import Cache
static_folder = pathlib.Path(__file__).resolve().parent.parent / 'public'
icons_folder = static_folder / 'icons'
app = flask.... | 30.726392 | 132 | 0.619307 |
79523eedb4e3585cf02cda1512a11b90da2d1239 | 1,248 | py | Python | cgi-bin/registro.py | raulsenaferreira/Projeto-Myosotis | b51cc4d7970f8647bcfde8f6dc9fa3d0c96093b6 | [
"Apache-2.0"
] | 5 | 2015-09-15T15:30:49.000Z | 2021-07-16T23:11:35.000Z | cgi-bin/registro.py | raulsenaferreira/Projeto-Myosotis | b51cc4d7970f8647bcfde8f6dc9fa3d0c96093b6 | [
"Apache-2.0"
] | 6 | 2015-08-08T22:47:19.000Z | 2015-09-08T01:37:49.000Z | cgi-bin/registro.py | raulsenaferreira/Projeto-Myosotis | b51cc4d7970f8647bcfde8f6dc9fa3d0c96093b6 | [
"Apache-2.0"
] | 2 | 2016-07-11T19:56:26.000Z | 2018-04-08T14:07:52.000Z | class Registro(object):
def __init__(self, nome, imagem, sexo, olhos, corDaPele, cabelo, pesoAproximado, alturaAproximada, tipoFisico, transtornoMental, idade, dataNascimento, diasDesaparecido, dataDesaparecimento, bairroDesaparecimento, cidadeDesaparecimento, ufDesaparecimento, marcaCaracteristica, status, inform... | 49.92 | 328 | 0.72516 |
79523fdc5318bd999f7805caf1edfefeb50d75b7 | 859 | py | Python | scam/types/coin_solution.py | grayfallstown/scam-blockchain | 2183020cc74bbd1a63dda6eb0d0e73c2a3429594 | [
"Apache-2.0"
] | 12 | 2021-08-04T14:35:02.000Z | 2022-02-09T04:31:44.000Z | scam/types/coin_solution.py | grayfallstown/scam-blockchain | 2183020cc74bbd1a63dda6eb0d0e73c2a3429594 | [
"Apache-2.0"
] | 8 | 2021-08-04T20:58:10.000Z | 2021-09-11T17:08:28.000Z | scam/types/coin_solution.py | grayfallstown/scam-blockchain | 2183020cc74bbd1a63dda6eb0d0e73c2a3429594 | [
"Apache-2.0"
] | 4 | 2021-07-28T09:50:55.000Z | 2022-03-15T08:43:53.000Z | from dataclasses import dataclass
from typing import List
from scam.types.blockchain_format.coin import Coin
from scam.types.blockchain_format.program import SerializedProgram, INFINITE_COST
from scam.util.chain_utils import additions_for_solution
from scam.util.streamable import Streamable, streamable
@dataclass(fr... | 34.36 | 105 | 0.784633 |
7952408e177f6ebf5dc3b4321167f07018bd57ba | 7,476 | py | Python | web_scraper.py | lschimmel/scraper | 1937e0a4b1f7206b8871b3e93314e67635a4012c | [
"MIT"
] | null | null | null | web_scraper.py | lschimmel/scraper | 1937e0a4b1f7206b8871b3e93314e67635a4012c | [
"MIT"
] | null | null | null | web_scraper.py | lschimmel/scraper | 1937e0a4b1f7206b8871b3e93314e67635a4012c | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import os
import pathlib
import re
import csv
N = 100
# scrapes webpage's search results
# saves a subset of the webpage, and images to a folder
def main():
#test conditions
# url = 'URL GOES HERE'
# i = 1
# scrape_how_to(url, i)
# lo... | 35.942308 | 226 | 0.535447 |
795240d1b6fde8dbab5e8d0739943a699c504a76 | 2,693 | py | Python | data/plugins/npcs/dialogue/vorki_pet.py | FavyTeam/Elderscape_server | 38bf75396e4e13222be67d5f15eb0b9862dca6bb | [
"MIT"
] | 3 | 2019-05-09T16:59:13.000Z | 2019-05-09T18:29:57.000Z | data/plugins/npcs/dialogue/vorki_pet.py | FavyTeam/Elderscape_server | 38bf75396e4e13222be67d5f15eb0b9862dca6bb | [
"MIT"
] | null | null | null | data/plugins/npcs/dialogue/vorki_pet.py | FavyTeam/Elderscape_server | 38bf75396e4e13222be67d5f15eb0b9862dca6bb | [
"MIT"
] | 7 | 2019-07-11T23:04:40.000Z | 2021-08-02T14:27:13.000Z | #Plugin to handle dialogue for Vorki (Vorkath) pet
#Written by Owain
#15/08/18
dialogue_ids = [8501, 8502, 8503, 8504, 8503, 8504, 8505, 8506, 8507, 8508, 8509, 8510]
def first_click_npc_8025(player):
player.getDH().sendDialogues(8500)
def chat_8500(player):
player.getDH().sendPlayerChat("Hey Vorki, got an... | 53.86 | 256 | 0.738953 |
7952417bbbe7ba6bc326dcfe2f03b6078660121a | 60,255 | py | Python | alphax/factor_alpha101.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 3 | 2020-01-23T22:23:08.000Z | 2020-10-12T20:02:16.000Z | alphax/factor_alpha101.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 1 | 2019-10-28T05:53:08.000Z | 2019-10-28T05:53:08.000Z | alphax/factor_alpha101.py | wangjiehui11235/panther | cf1ca2f0c7107c5cdacf2f7ff4002d43427d9b07 | [
"Apache-2.0"
] | 9 | 2019-08-21T07:48:32.000Z | 2020-04-04T09:17:54.000Z | # -*- coding: utf-8 -*-
import pdb
import numba
import six
import pandas as pd
import numpy as np
import inspect
import datetime
from sklearn import preprocessing
from numpy import log
from utilities.singleton import Singleton
# rolling corr of two pandas dataframes
def rolling_corr(x, y, win):
corr_df = pd.DataF... | 52.078652 | 152 | 0.614422 |
795241b7895e6ede3731f43193a16154039353c7 | 5,834 | py | Python | onlinecourse/views.py | acromafireair/final-onlinecourseapp | 1c2a0e8304548b5e612d487545d7aeb757150d78 | [
"Apache-2.0"
] | null | null | null | onlinecourse/views.py | acromafireair/final-onlinecourseapp | 1c2a0e8304548b5e612d487545d7aeb757150d78 | [
"Apache-2.0"
] | null | null | null | onlinecourse/views.py | acromafireair/final-onlinecourseapp | 1c2a0e8304548b5e612d487545d7aeb757150d78 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponseRedirect
# <HINT> Import any new Models here
from .models import Course, Enrollment, Question, Choice, Submission
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404, render, redirect
from django.urls import r... | 38.381579 | 129 | 0.69592 |
7952436a9c3207148bd6d7e5075d21bb3cbe02a4 | 1,430 | py | Python | setup.py | tcordiello/electrumx | f62c982f9b5ace30bdb962d07c4c9c8e7d87032a | [
"MIT"
] | 1 | 2021-08-14T13:46:27.000Z | 2021-08-14T13:46:27.000Z | setup.py | denza/electrumx | 2ab1dce09152ff917881c2b5e45c15d0efe8e31a | [
"MIT"
] | null | null | null | setup.py | denza/electrumx | 2ab1dce09152ff917881c2b5e45c15d0efe8e31a | [
"MIT"
] | null | null | null | import setuptools
version = '1.8.6'
setuptools.setup(
name='electrumX',
version=version,
scripts=['electrumx_server', 'electrumx_rpc'],
python_requires='>=3.6',
# via environment variables, in which case I've tested with 15.0.4
# "x11_hash" package (1.4) is required to sync DASH network.
# ... | 39.722222 | 73 | 0.645455 |
79524407262885df9a9939287a346d65a627c7a9 | 3,456 | bzl | Python | test/generate_tests.bzl | raytracer/as-tree | 991629712f43429874bbf11089d9efcff9c04c45 | [
"BlueOak-1.0.0"
] | 333 | 2020-05-10T15:44:48.000Z | 2022-03-30T15:10:20.000Z | test/generate_tests.bzl | raytracer/as-tree | 991629712f43429874bbf11089d9efcff9c04c45 | [
"BlueOak-1.0.0"
] | 19 | 2020-05-13T11:02:34.000Z | 2021-11-19T08:22:02.000Z | test/generate_tests.bzl | raytracer/as-tree | 991629712f43429874bbf11089d9efcff9c04c45 | [
"BlueOak-1.0.0"
] | 18 | 2020-05-13T10:57:09.000Z | 2021-12-28T01:34:09.000Z | _update_tags = [
# Avoid being caught with `//...`
"manual",
# Forces the test to be run locally, without sandboxing
"local",
# Unconditionally run this rule, and don't run in the sandbox
"external",
]
def fixture_tests(input_files):
tests = []
updates = []
for input_txt_file in inp... | 27.870968 | 65 | 0.471065 |
79524441bb74895ed09d43e8732db5ef6aa5db26 | 2,678 | py | Python | drf_encrypt_content/mixins.py | oguzhancelikarslan/drf-encrypt-content | ec9912dd0938d727374c7215bfc3c5040322e72c | [
"BSD-3-Clause"
] | 8 | 2020-10-03T18:45:29.000Z | 2022-02-17T10:21:36.000Z | drf_encrypt_content/mixins.py | oguzhancelikarslan/drf-encrypt-content | ec9912dd0938d727374c7215bfc3c5040322e72c | [
"BSD-3-Clause"
] | 1 | 2021-04-20T08:02:42.000Z | 2021-12-20T10:39:00.000Z | drf_encrypt_content/mixins.py | oguzhancelikarslan/drf-encrypt-content | ec9912dd0938d727374c7215bfc3c5040322e72c | [
"BSD-3-Clause"
] | 1 | 2022-02-17T10:21:39.000Z | 2022-02-17T10:21:39.000Z | from collections import OrderedDict
from django.core.exceptions import ImproperlyConfigured
from drf_encrypt_content.rest_encrypt_content import RestEncryptContent
class RestEncryptContentMixin(RestEncryptContent):
__ALL__ = '__all__'
def to_representation(self, instance):
representation = super(Re... | 39.970149 | 117 | 0.59186 |
7952467e84ec1fb8c8bda205ccd35954409ff891 | 3,032 | py | Python | setup.py | technige/pansi | 8014f67f14372bb6d88ca522d40744fff575814a | [
"Apache-2.0"
] | null | null | null | setup.py | technige/pansi | 8014f67f14372bb6d88ca522d40744fff575814a | [
"Apache-2.0"
] | null | null | null | setup.py | technige/pansi | 8014f67f14372bb6d88ca522d40744fff575814a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2020, Nigel Small
#
# 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 re... | 30.938776 | 82 | 0.615435 |
795246857529c74f1c239c7c6dcedfa69df6398b | 911 | py | Python | BOJ/graph_boj/game_develop.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/graph_boj/game_develop.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/graph_boj/game_develop.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # BOJ 1516
from collections import deque
import sys
sys.stdin = open("../input.txt", "r")
si = sys.stdin.readline
def topological_sort(indegree):
que = deque()
ret = [0] * (N + 1)
for i in range(1, N + 1):
if indegree[i] == 0:
ret[i] = time[i]
que.append(i)
while que:
... | 23.358974 | 59 | 0.507135 |
795247061340c63f7bb7c956d6bf7cf15a1b9162 | 3,084 | py | Python | src/run_directory.py | zhutianpeng/ImgProcessPlatform_pose | 748be1b98a44450671809e1d6040fd9aa0ff7998 | [
"Apache-2.0"
] | 4 | 2019-03-05T08:58:18.000Z | 2019-09-16T08:30:31.000Z | src/run_directory.py | zhutianpeng/ImgProcessPlatform_pose | 748be1b98a44450671809e1d6040fd9aa0ff7998 | [
"Apache-2.0"
] | null | null | null | src/run_directory.py | zhutianpeng/ImgProcessPlatform_pose | 748be1b98a44450671809e1d6040fd9aa0ff7998 | [
"Apache-2.0"
] | null | null | null |
import argparse
import logging
import time
import glob
import ast
import os
# import dill
import redis
from RedisQueue import RedisQueue
import dealimg
import common
import cv2
import numpy as np
from estimator import TfPoseEstimator
from networks import get_graph_path, model_wh
from lifting.prob_model import Prob3... | 34.651685 | 118 | 0.646887 |
7952490068a9005138fea4fef6a6f9e7c5bf0836 | 6,430 | py | Python | tests/mpd/test_tokenizer.py | rdbhost/mopidy | cb15ccef08b15c30ab6cbbac2419622d0804e7ac | [
"Apache-2.0"
] | null | null | null | tests/mpd/test_tokenizer.py | rdbhost/mopidy | cb15ccef08b15c30ab6cbbac2419622d0804e7ac | [
"Apache-2.0"
] | null | null | null | tests/mpd/test_tokenizer.py | rdbhost/mopidy | cb15ccef08b15c30ab6cbbac2419622d0804e7ac | [
"Apache-2.0"
] | null | null | null | import unittest
from mopidy.mpd import exceptions, tokenize
class TestTokenizer(unittest.TestCase):
def assertTokenizeEquals(self, expected, line): # noqa: N802
self.assertEqual(expected, tokenize.split(line))
def assertTokenizeRaises(self, exception, message, line): # noqa: N802
with self... | 43.445946 | 77 | 0.630638 |
795249480cc0f47f2a08c7ca9cdcc4b29850734b | 11,295 | py | Python | Mobility Algorithms/Queues at Known Locations/Machine_Learning/train_test_export_ML_model_offline.py | James-OHara/NCHRP-BSM-Traffic-Measures | d6842c9dc63de8c2d470482fbfd1ec91a9c2ae56 | [
"Apache-2.0"
] | null | null | null | Mobility Algorithms/Queues at Known Locations/Machine_Learning/train_test_export_ML_model_offline.py | James-OHara/NCHRP-BSM-Traffic-Measures | d6842c9dc63de8c2d470482fbfd1ec91a9c2ae56 | [
"Apache-2.0"
] | null | null | null | Mobility Algorithms/Queues at Known Locations/Machine_Learning/train_test_export_ML_model_offline.py | James-OHara/NCHRP-BSM-Traffic-Measures | d6842c9dc63de8c2d470482fbfd1ec91a9c2ae56 | [
"Apache-2.0"
] | null | null | null | """This python script trains supervised machine learning Random Forest models on the complete data provided,
ouptputs performance metrics, and exports the trained Random Forest to a pickle file.
Test with: python train_test_export_ML_model_offline.py sample_BSMs_X_file.csv sample_max_queues_Y_file.csv sample_vehicle_... | 49.108696 | 237 | 0.723063 |
795249e8fde080574bbc776ca2d274f0a0a663dd | 15,430 | py | Python | desktop/libs/notebook/src/notebook/connectors/base.py | integrateai/hue | ca2ea6c5e3979b963b151931ac4a689f69131b54 | [
"Apache-2.0"
] | null | null | null | desktop/libs/notebook/src/notebook/connectors/base.py | integrateai/hue | ca2ea6c5e3979b963b151931ac4a689f69131b54 | [
"Apache-2.0"
] | null | null | null | desktop/libs/notebook/src/notebook/connectors/base.py | integrateai/hue | ca2ea6c5e3979b963b151931ac4a689f69131b54 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... | 32.690678 | 184 | 0.663383 |
79524a683cc4cfed3e8143de34ed0d5259d60a0a | 21,312 | py | Python | third_party/protobuf/src/gtest/test/run_tests_test.py | apkbox/nano-rpc | d9d253b104399b443fb377cac2856b8997b1dab6 | [
"BSD-3-Clause"
] | null | null | null | third_party/protobuf/src/gtest/test/run_tests_test.py | apkbox/nano-rpc | d9d253b104399b443fb377cac2856b8997b1dab6 | [
"BSD-3-Clause"
] | null | null | null | third_party/protobuf/src/gtest/test/run_tests_test.py | apkbox/nano-rpc | d9d253b104399b443fb377cac2856b8997b1dab6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2009 Google Inc. All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of... | 34.653659 | 80 | 0.637669 |
79524ad739458878d268280471fd6bc0f3019965 | 6,586 | py | Python | S7/python_files/model.py | garima-mahato/EVA4 | e8efe40a4de2d5da3a04314f52a02610ecde16f1 | [
"MIT"
] | null | null | null | S7/python_files/model.py | garima-mahato/EVA4 | e8efe40a4de2d5da3a04314f52a02610ecde16f1 | [
"MIT"
] | null | null | null | S7/python_files/model.py | garima-mahato/EVA4 | e8efe40a4de2d5da3a04314f52a02610ecde16f1 | [
"MIT"
] | 1 | 2020-05-02T17:15:22.000Z | 2020-05-02T17:15:22.000Z | from __future__ import print_function
import math
import numpy
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
import matplotlib.pyplot as plt
from torchsummary import summar... | 42.766234 | 136 | 0.600668 |
79524b60de15e6362b16730d5d05073917209179 | 4,829 | py | Python | p3_collab-compet/maddpg_agentlab.py | francelico/deep-reinforcement-learning | 65ea99a4ecf527cb9d8a703313da4815f4688ff0 | [
"MIT"
] | null | null | null | p3_collab-compet/maddpg_agentlab.py | francelico/deep-reinforcement-learning | 65ea99a4ecf527cb9d8a703313da4815f4688ff0 | [
"MIT"
] | 6 | 2020-01-28T22:59:05.000Z | 2022-02-10T01:12:12.000Z | p3_collab-compet/maddpg_agentlab.py | francelico/deep-reinforcement-learning | 65ea99a4ecf527cb9d8a703313da4815f4688ff0 | [
"MIT"
] | null | null | null | # main code that contains the neural network setup
# policy + critic updates
# see ddpg.py for other details in the network
from ddpg import DDPGAgent
import torch
from utilities import soft_update, transpose_to_tensor, transpose_list
#device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
device = 'cpu... | 39.581967 | 122 | 0.625388 |
79524b941919fc9fe975167cb7a6682bf87cd63e | 4,989 | py | Python | test/vanilla/legacy/Expected/AcceptanceTests/BodyBinary/bodybinary/aio/operations/_upload_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/legacy/Expected/AcceptanceTests/BodyBinary/bodybinary/aio/operations/_upload_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | null | null | null | test/vanilla/legacy/Expected/AcceptanceTests/BodyBinary/bodybinary/aio/operations/_upload_operations.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 1 | 2022-03-28T08:58:03.000Z | 2022-03-28T08:58:03.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 39.595238 | 106 | 0.670876 |
79524c05c8c18ef0440cd7afdeb79eec47f39750 | 408 | py | Python | GCL/losses/losses.py | lem0nle/PyGCL | 340b0201a5edf4236fef4c96b958ff373ceb7f28 | [
"Apache-2.0"
] | 361 | 2021-07-09T15:15:23.000Z | 2022-03-30T07:08:10.000Z | GCL/losses/losses.py | lem0nle/PyGCL | 340b0201a5edf4236fef4c96b958ff373ceb7f28 | [
"Apache-2.0"
] | 25 | 2021-08-21T11:06:26.000Z | 2022-03-29T02:51:56.000Z | GCL/losses/losses.py | lem0nle/PyGCL | 340b0201a5edf4236fef4c96b958ff373ceb7f28 | [
"Apache-2.0"
] | 45 | 2021-08-07T02:59:45.000Z | 2022-03-29T05:07:17.000Z | import torch
from abc import ABC, abstractmethod
class Loss(ABC):
@abstractmethod
def compute(self, anchor, sample, pos_mask, neg_mask, *args, **kwargs) -> torch.FloatTensor:
pass
def __call__(self, anchor, sample, pos_mask=None, neg_mask=None, *args, **kwargs) -> torch.FloatTensor:
loss ... | 31.384615 | 107 | 0.683824 |
79524caab16dd28e6b2536bf40a39304e7d920cf | 516 | py | Python | tests/test_python.py | jayvdb/dephell_pythons | 17afb28bd89652718410998dcd13bfdde9dfd865 | [
"MIT"
] | 2 | 2019-03-20T14:39:55.000Z | 2019-04-21T15:48:36.000Z | tests/test_python.py | jayvdb/dephell_pythons | 17afb28bd89652718410998dcd13bfdde9dfd865 | [
"MIT"
] | 4 | 2019-07-24T13:51:09.000Z | 2020-05-28T14:28:14.000Z | tests/test_python.py | jayvdb/dephell_pythons | 17afb28bd89652718410998dcd13bfdde9dfd865 | [
"MIT"
] | 3 | 2019-12-19T01:38:56.000Z | 2021-09-28T02:43:43.000Z | import sys
from dephell_pythons import Pythons
def test_lib_paths():
p = Pythons().current
assert len(p.lib_paths) > 2
# appveyor makes some hacks for python path
libs_found = {path for path in sys.path if 'Scripts' not in path and 'dephell' not in path}
libs_real = {str(path) for path in p.lib_pa... | 30.352941 | 112 | 0.699612 |
79524cdfda340a378ede662e359fa940dbd9655a | 951 | py | Python | setup.py | Arfaouim/moire-lattice-generator | c46065d27f64010d4bf4c8b0209c27369c316e1e | [
"MIT"
] | 1 | 2021-06-24T13:59:00.000Z | 2021-06-24T13:59:00.000Z | setup.py | Arfaouim/moire-lattice-generator | c46065d27f64010d4bf4c8b0209c27369c316e1e | [
"MIT"
] | null | null | null | setup.py | Arfaouim/moire-lattice-generator | c46065d27f64010d4bf4c8b0209c27369c316e1e | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
with open('requirements.txt') as f:
requirements = f.read().splitlines()
setuptools.setup(
name="latticegen",
version="0.0.1",
author="T.A. de Jong",
author_email="tobiasadejong@gmail.com",
... | 28.818182 | 70 | 0.6551 |
79524d9ebddca959d8ecc93fa7911704399810b4 | 826 | py | Python | com/jefferson/bd.py | jefferson-paixao/devops_ac03_testes | a069be042de162ea19e973a157280b16d1c60d12 | [
"Apache-2.0"
] | null | null | null | com/jefferson/bd.py | jefferson-paixao/devops_ac03_testes | a069be042de162ea19e973a157280b16d1c60d12 | [
"Apache-2.0"
] | null | null | null | com/jefferson/bd.py | jefferson-paixao/devops_ac03_testes | a069be042de162ea19e973a157280b16d1c60d12 | [
"Apache-2.0"
] | null | null | null | class bancodedados():
def criando_tabela(self,coluna,campo,valor):
import sqlite3
conn = sqlite3.connect(':memory:')
c = conn.cursor()
with open('criando_tabela.sql', 'r') as content_file:
content = content_file.read()
c.execute(content)
wit... | 28.482759 | 62 | 0.521792 |
79524df2c022ab3e2c9a52de1ec6d746cdfffadf | 4,179 | py | Python | model_src/colour/bw_network/backward_model.py | imbyjuli/blackboard-tensorflow-nrp | 93fb4b5ba18e5e3c55526670160ee3ec21626e43 | [
"Apache-2.0"
] | null | null | null | model_src/colour/bw_network/backward_model.py | imbyjuli/blackboard-tensorflow-nrp | 93fb4b5ba18e5e3c55526670160ee3ec21626e43 | [
"Apache-2.0"
] | null | null | null | model_src/colour/bw_network/backward_model.py | imbyjuli/blackboard-tensorflow-nrp | 93fb4b5ba18e5e3c55526670160ee3ec21626e43 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Imports
import numpy as np
import tensorflow as tf
import cv2
import csv
from backward_weights import init_locally_backward_weights ,initiate_backward_weights
from backward_layers import ait_backwards,pit_bac... | 32.146154 | 108 | 0.581718 |
79524e14ef26f9e56c447ba4dd5e8b39e5a7bfac | 873 | py | Python | tests/test_jira_connection.py | Lee-Sutton/pyjournal | a91457ea327f7df3b865c3a8fce38dd580a4cb14 | [
"MIT"
] | null | null | null | tests/test_jira_connection.py | Lee-Sutton/pyjournal | a91457ea327f7df3b865c3a8fce38dd580a4cb14 | [
"MIT"
] | 13 | 2019-03-30T01:52:51.000Z | 2021-06-01T23:01:33.000Z | tests/test_jira_connection.py | Lee-Sutton/pyjournal | a91457ea327f7df3b865c3a8fce38dd580a4cb14 | [
"MIT"
] | null | null | null | from collections import namedtuple
from unittest.mock import patch
from pyjournal.jira_connection import Jira
@patch('pyjournal.jira_connection.JIRA')
def test_jira(jira_api, fake):
url = fake.url()
email = fake.email()
password = 'password'
Jira(url, email, password)
jira_api.assert_called_with... | 24.942857 | 82 | 0.706758 |
79524ecc2e51c375b32965f9dbd6cf66a839077d | 3,510 | py | Python | gilp/tests/test_graphic.py | xbrq/gilp | 7fb1d2425d905aa43a5bcde25713b40878bc30d1 | [
"MIT"
] | 18 | 2020-07-24T02:35:14.000Z | 2022-01-28T18:51:46.000Z | gilp/tests/test_graphic.py | xbrq/gilp | 7fb1d2425d905aa43a5bcde25713b40878bc30d1 | [
"MIT"
] | 3 | 2021-01-25T11:18:45.000Z | 2021-09-04T23:21:28.000Z | gilp/tests/test_graphic.py | xbrq/gilp | 7fb1d2425d905aa43a5bcde25713b40878bc30d1 | [
"MIT"
] | 3 | 2021-02-12T05:02:31.000Z | 2021-09-04T22:29:58.000Z | import pytest
import numpy as np
import plotly.graph_objects as plt
from gilp._graphic import (Figure, num_format, linear_string, equation_string,
label)
# The following functions are not tested since they create visual objects:
# table, vector, scatter, line, equation, and polygon
@pytes... | 33.75 | 78 | 0.538462 |
79524fce4649054912206a3339e867a4b0d5ae8a | 6,902 | py | Python | tensorflow/python/data/experimental/kernel_tests/matching_files_dataset_test.py | AdaAlarm/tensorflow | e0db063159751276a92d88a4ad6d481b1199318c | [
"Apache-2.0"
] | 10 | 2021-05-25T17:43:04.000Z | 2022-03-08T10:46:09.000Z | tensorflow/python/data/experimental/kernel_tests/matching_files_dataset_test.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 1,056 | 2019-12-15T01:20:31.000Z | 2022-02-10T02:06:28.000Z | tensorflow/python/data/experimental/kernel_tests/matching_files_dataset_test.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 6 | 2016-09-07T04:00:15.000Z | 2022-01-12T01:47:38.000Z | # Copyright 2018 The TensorFlow 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 applica... | 35.035533 | 80 | 0.67111 |
79524fe027206757c991850457d43905974adb25 | 40,616 | py | Python | elephant/spike_train_generation.py | healther/elephant | b4525dcabc1f4c2204479f580100151eaebd8603 | [
"BSD-3-Clause"
] | null | null | null | elephant/spike_train_generation.py | healther/elephant | b4525dcabc1f4c2204479f580100151eaebd8603 | [
"BSD-3-Clause"
] | null | null | null | elephant/spike_train_generation.py | healther/elephant | b4525dcabc1f4c2204479f580100151eaebd8603 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Functions to generate spike trains from analog signals,
or to generate random spike trains.
Some functions are based on the NeuroTools stgen module, which was mostly
written by Eilif Muller, or from the NeuroTools signals.analogs module.
:copyright: Copyright 2015 by the Elephant team, see... | 38.172932 | 93 | 0.641274 |
7952505591894de61ba5269d2ed071b733a940c4 | 5,371 | py | Python | mypy_django_plugin/main.py | Naddiseo/django-stubs | cff5ab463c911283a9c43a26a38cb7bd4deebbd5 | [
"BSD-3-Clause"
] | null | null | null | mypy_django_plugin/main.py | Naddiseo/django-stubs | cff5ab463c911283a9c43a26a38cb7bd4deebbd5 | [
"BSD-3-Clause"
] | null | null | null | mypy_django_plugin/main.py | Naddiseo/django-stubs | cff5ab463c911283a9c43a26a38cb7bd4deebbd5 | [
"BSD-3-Clause"
] | null | null | null | import os
from typing import Callable, Optional, cast, Dict
from mypy.checker import TypeChecker
from mypy.nodes import TypeInfo
from mypy.options import Options
from mypy.plugin import Plugin, FunctionContext, ClassDefContext, MethodContext
from mypy.types import Type, Instance
from mypy_django_plugin import helpers... | 41.635659 | 128 | 0.689443 |
7952508f8557f8db3bef292a9c99cc827c410152 | 3,365 | py | Python | AutenticacioJuego.py | Kelly901/Proyecto2 | 198c04c3324253e0ec7ea74d3edaefbd182e026f | [
"Apache-2.0"
] | null | null | null | AutenticacioJuego.py | Kelly901/Proyecto2 | 198c04c3324253e0ec7ea74d3edaefbd182e026f | [
"Apache-2.0"
] | null | null | null | AutenticacioJuego.py | Kelly901/Proyecto2 | 198c04c3324253e0ec7ea74d3edaefbd182e026f | [
"Apache-2.0"
] | null | null | null | from Juego import Juego
import json
class AutenticacionJuego:
juego=[]
juego2=[]
def __init__(self):
self.contador=0
def crearJuego(self,nombre,anio,precio,categoria1,categoria2,categoria3,foto,banner,descripcion):
self.juego.append(Juego(self.contador,nombre,anio,precio,categoria1,categoria2,categoria3,foto... | 23.865248 | 152 | 0.658247 |
795250dabe27df678f8cdb20201f3cb38ab3fef4 | 5,003 | py | Python | tests/modules/file_list_handling/test_remote_file_list_creation.py | mhaberler/gribmagic | f7a8c3f0653e421ca57f4200ec2e0ba0ce4064e0 | [
"MIT"
] | 1 | 2021-11-14T06:25:44.000Z | 2021-11-14T06:25:44.000Z | tests/modules/file_list_handling/test_remote_file_list_creation.py | mhaberler/gribmagic | f7a8c3f0653e421ca57f4200ec2e0ba0ce4064e0 | [
"MIT"
] | null | null | null | tests/modules/file_list_handling/test_remote_file_list_creation.py | mhaberler/gribmagic | f7a8c3f0653e421ca57f4200ec2e0ba0ce4064e0 | [
"MIT"
] | null | null | null | from datetime import datetime
from pathlib import Path
from unittest.mock import patch
import pytest
from src.enumerations.weather_models import WeatherModels
from src.exceptions.wrong_weather_model_exception import \
WrongWeatherModelException
from src.modules.config.constants import KEY_VARIABLES, KEY_GRIB_PACK... | 43.885965 | 120 | 0.63262 |
7952513fcaecee979d79e7eb79fe616b5c6524a9 | 4,387 | py | Python | ktapp/helpers/search.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | 5 | 2015-04-13T09:44:31.000Z | 2017-10-19T01:07:58.000Z | ktapp/helpers/search.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | 49 | 2015-02-15T07:12:05.000Z | 2022-03-11T23:11:43.000Z | ktapp/helpers/search.py | cu2/KT | 8a0964b77dce150358637faa679d969a07e42f07 | [
"CC-BY-3.0"
] | null | null | null | from django.conf import settings
from django.db.models import Q
from django.template.defaultfilters import slugify
from ktapp import models
from ktapp import utils as kt_utils
def get_q_pieces(q): # limit length of query string and number of query pieces
return q[:200].split()[:20]
def find_film_by_link(q):
... | 36.865546 | 146 | 0.644632 |
79525285bf6a67a9880597766525a93f9f200be5 | 8,821 | py | Python | src/collision_manager.py | Tomaszu97/game-engine | dcf34e0741edecdb2902871ef7488ea873844e65 | [
"MIT"
] | 1 | 2022-02-09T07:41:30.000Z | 2022-02-09T07:41:30.000Z | src/collision_manager.py | Tomaszu97/game-engine | dcf34e0741edecdb2902871ef7488ea873844e65 | [
"MIT"
] | null | null | null | src/collision_manager.py | Tomaszu97/game-engine | dcf34e0741edecdb2902871ef7488ea873844e65 | [
"MIT"
] | null | null | null | from pygame import Rect
from .shared import *
from .game_object import *
class CollisionManager():
#TODO first load the whole level ,then handle this stuff, otherwise race condition sometimes happens
def __init__(self):
# collision handlers
# elastic collision
def BNC(obj... | 53.460606 | 155 | 0.488833 |
7952528a99e67b752388a5669b6b0b5216d34e2c | 3,827 | py | Python | tests/components/sensor/test_rflink.py | bxnyintuc/home-assistant | 70fff26383ed02cd8acf4c0f336e8d9ab9e0d598 | [
"Apache-2.0"
] | null | null | null | tests/components/sensor/test_rflink.py | bxnyintuc/home-assistant | 70fff26383ed02cd8acf4c0f336e8d9ab9e0d598 | [
"Apache-2.0"
] | null | null | null | tests/components/sensor/test_rflink.py | bxnyintuc/home-assistant | 70fff26383ed02cd8acf4c0f336e8d9ab9e0d598 | [
"Apache-2.0"
] | null | null | null | """Test for RFlink sensor components.
Test setup of rflink sensor component/platform. Verify manual and
automatic sensor creation.
"""
from homeassistant.components.rflink import (
CONF_RECONNECT_INTERVAL)
from homeassistant.const import STATE_UNKNOWN
from ..test_rflink import mock_rflink
DOMAIN = 'sensor'
CON... | 28.139706 | 79 | 0.642279 |
795253857d177009dd688f2eadfc2447131b928d | 3,323 | py | Python | asposeslidescloud/models/i_shape_export_options.py | rizwanniazigroupdocs/aspose-slides-cloud-python | f692a7082387350f80f0b389c1914e33b800a76f | [
"MIT"
] | null | null | null | asposeslidescloud/models/i_shape_export_options.py | rizwanniazigroupdocs/aspose-slides-cloud-python | f692a7082387350f80f0b389c1914e33b800a76f | [
"MIT"
] | null | null | null | asposeslidescloud/models/i_shape_export_options.py | rizwanniazigroupdocs/aspose-slides-cloud-python | f692a7082387350f80f0b389c1914e33b800a76f | [
"MIT"
] | 1 | 2020-12-25T16:28:49.000Z | 2020-12-25T16:28:49.000Z | # coding: utf-8
# -----------------------------------------------------------------------------------
# <copyright company="Aspose">
# Copyright (c) 2018 Aspose.Slides for Cloud
# </copyright>
# <summary>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associa... | 33.908163 | 85 | 0.585615 |
795253cc36d0064e285be6f46b6d3bdeab66069c | 2,603 | py | Python | esperancanordeste/context_processors.py | klebercode/esperancanordeste | 5ceb28f9b04619db21e83c2417e453b7c84647a6 | [
"MIT"
] | null | null | null | esperancanordeste/context_processors.py | klebercode/esperancanordeste | 5ceb28f9b04619db21e83c2417e453b7c84647a6 | [
"MIT"
] | null | null | null | esperancanordeste/context_processors.py | klebercode/esperancanordeste | 5ceb28f9b04619db21e83c2417e453b7c84647a6 | [
"MIT"
] | null | null | null | # coding: utf-8
from django.shortcuts import get_object_or_404
from esperancanordeste.core.models import Enterprise, SocialLogo
from esperancanordeste.catalog.models import Category
from esperancanordeste.newsletter.models import Subscribe
from esperancanordeste.newsletter.forms import SubscribeForm
def enterprise_... | 31.743902 | 77 | 0.632731 |
795255ce6c7514658d17d893e1e7fb1bfd0b7a60 | 5,872 | py | Python | push_notifications/south_migrations/0002_auto__add_field_apnsdevice_date_created__add_field_gcmdevice_date_created.py | peterhinson/django-push-notifications | bf4e781aa4e67ea287027aa0d93c0faa0953c591 | [
"MIT"
] | 1 | 2015-03-04T04:30:19.000Z | 2015-03-04T04:30:19.000Z | push_notifications/south_migrations/0002_auto__add_field_apnsdevice_date_created__add_field_gcmdevice_date_created.py | peterhinson/django-push-notifications | bf4e781aa4e67ea287027aa0d93c0faa0953c591 | [
"MIT"
] | null | null | null | push_notifications/south_migrations/0002_auto__add_field_apnsdevice_date_created__add_field_gcmdevice_date_created.py | peterhinson/django-push-notifications | bf4e781aa4e67ea287027aa0d93c0faa0953c591 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
from django.conf import settings
try:
from django.contrib.auth import get_user_model
except ImportError: # django < 1.5
from django.contrib.auth.models... | 53.87156 | 152 | 0.647139 |
795255ce9558cdcebad46a90da7b6ff0c9173971 | 11,176 | py | Python | lib/fast_rcnn/config.py | Turoad/py-RFCN-priv | f2837b0aa2b74941bf5a62304798b74547d486f4 | [
"MIT"
] | 1 | 2021-05-14T15:12:22.000Z | 2021-05-14T15:12:22.000Z | lib/fast_rcnn/config.py | Turoad/py-RFCN-priv | f2837b0aa2b74941bf5a62304798b74547d486f4 | [
"MIT"
] | null | null | null | lib/fast_rcnn/config.py | Turoad/py-RFCN-priv | f2837b0aa2b74941bf5a62304798b74547d486f4 | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Fast R-CNN config system.
This file specifies default config option... | 32.967552 | 118 | 0.698908 |
79525657ca25cd7a1a45c008198d2521372793ef | 18,836 | py | Python | data/level/level124.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | null | null | null | data/level/level124.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 6 | 2020-07-04T02:53:08.000Z | 2022-03-11T23:53:14.000Z | data/level/level124.py | levelupai/match3-level-similarity | cc9b28b8741b41bea1273c8bc9b4d265d79a1dca | [
"Apache-2.0"
] | 3 | 2019-12-31T11:42:59.000Z | 2021-03-28T20:06:13.000Z | data = {
'level_index': 124,
'move_count': 32,
'board_info': {
(0, 0): {
'base': (14, 1),
'cover': (64, 1),
'fall_point': (0, -1),
'next': (0, 1),
'prev': (0, -1)
},
(0, 1): {
'base': (4, 1),
'cover':... | 23.283066 | 34 | 0.196114 |
7952568943402b63936a3af28376de4aaa6410c4 | 700 | py | Python | nbr/schemas/session.py | zhivykh/nbrunner | b5b77aec3b9c71d594ca116f2b5eefeb08dd0475 | [
"MIT"
] | null | null | null | nbr/schemas/session.py | zhivykh/nbrunner | b5b77aec3b9c71d594ca116f2b5eefeb08dd0475 | [
"MIT"
] | null | null | null | nbr/schemas/session.py | zhivykh/nbrunner | b5b77aec3b9c71d594ca116f2b5eefeb08dd0475 | [
"MIT"
] | null | null | null | from typing import Optional
from pydantic import BaseModel
class Kernel(BaseModel):
"""Kernel model."""
id: str
name: str
last_activity: str
execution_state: str
connections: int
class Notebook(BaseModel):
"""Notebook model."""
path: Optional[str] = None
name: str
class Sess... | 14.893617 | 37 | 0.627143 |
79525894106470b417346e762a67939d672214ea | 23,559 | py | Python | uspy/features/lsr.py | jwarndt/uspy | ab5bb73f9243a1d7978c83ccb63e7189fc18cd8a | [
"MIT"
] | null | null | null | uspy/features/lsr.py | jwarndt/uspy | ab5bb73f9243a1d7978c83ccb63e7189fc18cd8a | [
"MIT"
] | null | null | null | uspy/features/lsr.py | jwarndt/uspy | ab5bb73f9243a1d7978c83ccb63e7189fc18cd8a | [
"MIT"
] | null | null | null | import math
import os
import cv2
from osgeo import gdal
from osgeo import ogr
from osgeo import osr
import skimage
from skimage.color import rgb2gray
from skimage._shared._warnings import expected_warnings
from scipy.stats import entropy
import numpy as np
from nmapy.utilities.io import *
class LSR_da... | 41.043554 | 248 | 0.585636 |
79525ab2de58efae22644e9364fd217576d7c5eb | 8,670 | py | Python | package_control/cmd.py | Shekharrajak/my_sublime_packages | 4627b7faa47b0b03578c339fb5081be9d92867a6 | [
"Unlicense",
"MIT"
] | 1 | 2018-06-23T08:07:39.000Z | 2018-06-23T08:07:39.000Z | package_control/cmd.py | Shekharrajak/my_sublime_packages | 4627b7faa47b0b03578c339fb5081be9d92867a6 | [
"Unlicense",
"MIT"
] | null | null | null | package_control/cmd.py | Shekharrajak/my_sublime_packages | 4627b7faa47b0b03578c339fb5081be9d92867a6 | [
"Unlicense",
"MIT"
] | null | null | null | import os
import subprocess
import re
import sys
if os.name == 'nt':
from ctypes import windll, create_unicode_buffer
try:
# Allow using this file on the website where the sublime
# module is unavailable
import sublime
except (ImportError):
sublime = None
from .console_write import console_write
... | 31.18705 | 108 | 0.51511 |
79525aec2be7db4c5a2bcc9affd18d707018f860 | 5,278 | py | Python | Models/classTemplateTF/model.py | UTS-AnimalLogicAcademy/nuke-ML-server | 3bec5e9efc1f3101e7506401eb57e7b8c955f84c | [
"Apache-2.0"
] | 123 | 2019-05-14T19:50:42.000Z | 2022-03-21T11:32:30.000Z | Models/classTemplateTF/model.py | UTS-AnimalLogicAcademy/nuke-ML-server | 3bec5e9efc1f3101e7506401eb57e7b8c955f84c | [
"Apache-2.0"
] | 30 | 2019-05-23T18:48:29.000Z | 2021-06-26T01:17:13.000Z | Models/classTemplateTF/model.py | UTS-AnimalLogicAcademy/nuke-ML-server | 3bec5e9efc1f3101e7506401eb57e7b8c955f84c | [
"Apache-2.0"
] | 34 | 2019-05-14T17:43:26.000Z | 2021-11-10T23:53:02.000Z | from __future__ import print_function
import sys
import os
import time
import scipy.misc
import numpy as np
import cv2
import tensorflow as tf
tf.compat.v1.disable_eager_execution() # For TF 2.x compatibility
from ..baseModel import BaseModel
from ..common.util import print_, get_saved_model_list, linear_to_srgb
i... | 41.234375 | 102 | 0.636036 |
79525cf11f35655760597ff820c2b99354cf838c | 4,921 | py | Python | clusterman/cli/manage.py | akshaysharma096/clusterman | 27f4bd217fe201a4c0b9bf460c5a9e155ee88041 | [
"Apache-2.0"
] | 281 | 2019-11-15T03:12:43.000Z | 2022-01-07T06:36:58.000Z | clusterman/cli/manage.py | akshaysharma096/clusterman | 27f4bd217fe201a4c0b9bf460c5a9e155ee88041 | [
"Apache-2.0"
] | 38 | 2019-11-18T20:15:47.000Z | 2022-03-28T11:28:45.000Z | clusterman/cli/manage.py | akshaysharma096/clusterman | 27f4bd217fe201a4c0b9bf460c5a9e155ee88041 | [
"Apache-2.0"
] | 21 | 2019-11-16T07:49:40.000Z | 2022-02-09T18:13:48.000Z | # Copyright 2019 Yelp 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, so... | 39.368 | 118 | 0.731355 |
79525e47465a3120276741fcfebcf63773fdc65e | 19,381 | py | Python | research/object_detection/protos/box_predictor_pb2.py | nobillowseagit/models | cbac8468537edbe679ddadad365da47a5ac966d8 | [
"Apache-2.0"
] | 16 | 2018-12-17T15:30:16.000Z | 2021-08-20T03:07:07.000Z | research/object_detection/protos/box_predictor_pb2.py | nobillowseagit/models | cbac8468537edbe679ddadad365da47a5ac966d8 | [
"Apache-2.0"
] | null | null | null | research/object_detection/protos/box_predictor_pb2.py | nobillowseagit/models | cbac8468537edbe679ddadad365da47a5ac966d8 | [
"Apache-2.0"
] | 13 | 2019-05-13T11:01:43.000Z | 2022-03-28T07:39:53.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: object_detection/protos/box_predictor.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.protob... | 51.545213 | 2,256 | 0.774573 |
79525eb8bf148e6484aed8e264c929a8f0ca9145 | 129 | py | Python | unobase/commenting/signals.py | unomena/unobase | 175e768afa1608f9f34d1e5a053763ad27db0f7e | [
"BSD-3-Clause"
] | null | null | null | unobase/commenting/signals.py | unomena/unobase | 175e768afa1608f9f34d1e5a053763ad27db0f7e | [
"BSD-3-Clause"
] | null | null | null | unobase/commenting/signals.py | unomena/unobase | 175e768afa1608f9f34d1e5a053763ad27db0f7e | [
"BSD-3-Clause"
] | null | null | null | __author__ = 'michael'
from django.dispatch import Signal
user_commented = Signal(providing_args=['user', 'request', 'comment']) | 32.25 | 70 | 0.767442 |
79525fb76b6d260cd6a5ed91ddad96dfa1d316c5 | 4,087 | py | Python | utils/metrics.py | leonardozcm/Point-Completion-Fig-AutoGenerator | 109f5a414f51469fac82d0d23cde69efb9cf97e0 | [
"Apache-2.0"
] | 31 | 2021-08-22T15:01:58.000Z | 2022-03-19T12:26:21.000Z | utils/metrics.py | leonardozcm/ASFM-Net-Pytorch | 2584d2d098c760e559d3f632b72b9ad9881c59d5 | [
"MIT"
] | 10 | 2021-09-06T09:07:38.000Z | 2022-02-12T08:12:54.000Z | utils/metrics.py | leonardozcm/SnowflakeNet | 93e7151610765e7e2b41ace2d03c8750f0b6c80c | [
"MIT"
] | 5 | 2021-08-30T00:53:17.000Z | 2022-03-20T11:57:25.000Z | # -*- coding: utf-8 -*-
# @Author: Haozhe Xie
# @Date: 2019-08-08 14:31:30
# @Last Modified by: Haozhe Xie
# @Last Modified time: 2020-05-25 09:13:32
# @Email: cshzxie@gmail.com
import logging
import open3d
import torch
from Chamfer3D.dist_chamfer_3D import chamfer_3DDist
class Metrics(object):
ITEMS = [{
... | 32.181102 | 93 | 0.590898 |
7952609e9f72568f6207d4ca79537c3b28a117d4 | 203 | py | Python | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 1 | 2022-01-20T18:48:46.000Z | 2022-01-20T18:48:46.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 8 | 2020-10-05T15:27:07.000Z | 2021-02-16T17:17:54.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 5 | 2020-10-05T18:11:44.000Z | 2022-01-21T18:33:13.000Z | import pathlib
TEMPLATES_DIR = pathlib.Path(__file__).resolve(strict=True).parent / 'conf'
APP_TEMPLATES_DIR = TEMPLATES_DIR / 'app_template'
PROJECT_TEMPLATES_DIR = TEMPLATES_DIR / 'project_template'
| 29 | 75 | 0.807882 |
795260caef24ee8f231bab564ac699dadd75fb00 | 1,375 | py | Python | cogdl/data/dataloader.py | Somefive/cogdl | 1c5ab88aafc27529495d0d22f781055619e27cb2 | [
"MIT"
] | 1 | 2021-03-17T07:23:51.000Z | 2021-03-17T07:23:51.000Z | cogdl/data/dataloader.py | yingyukexiansheng/cogdl | cf594cdb3a97f45333d08c937205d1a691828a33 | [
"MIT"
] | null | null | null | cogdl/data/dataloader.py | yingyukexiansheng/cogdl | cf594cdb3a97f45333d08c937205d1a691828a33 | [
"MIT"
] | null | null | null | import torch.utils.data
from torch.utils.data.dataloader import default_collate
from cogdl.data import Batch, Data
class DataLoader(torch.utils.data.DataLoader):
r"""Data loader which merges data objects from a
:class:`cogdl.data.dataset` to a mini-batch.
Args:
dataset (Dataset): The dataset fro... | 34.375 | 114 | 0.633455 |
795260edc9b41a9d3c0c76ccf0622e352e51fd4a | 132 | py | Python | myproj/api/routes/hello_v1/__init__.py | jbarguil/python-rest-server | d050d095555c9bad3e2e94b4e0c51075cc6ad3bc | [
"MIT"
] | null | null | null | myproj/api/routes/hello_v1/__init__.py | jbarguil/python-rest-server | d050d095555c9bad3e2e94b4e0c51075cc6ad3bc | [
"MIT"
] | null | null | null | myproj/api/routes/hello_v1/__init__.py | jbarguil/python-rest-server | d050d095555c9bad3e2e94b4e0c51075cc6ad3bc | [
"MIT"
] | null | null | null | """v1 of the Hello API
"""
from .api import api, blueprint
from .hello import namespace as ns_hello
api.add_namespace(ns_hello)
| 13.2 | 40 | 0.742424 |
7952611de7e54899944a86432e54961eb181d179 | 1,055 | py | Python | src/groups/migrations/0001_initial.py | OmarYehia/django-social_network | 83fc6fd288fe23684409c43bf51c7fca01297481 | [
"MIT"
] | null | null | null | src/groups/migrations/0001_initial.py | OmarYehia/django-social_network | 83fc6fd288fe23684409c43bf51c7fca01297481 | [
"MIT"
] | null | null | null | src/groups/migrations/0001_initial.py | OmarYehia/django-social_network | 83fc6fd288fe23684409c43bf51c7fca01297481 | [
"MIT"
] | 1 | 2021-05-13T15:08:12.000Z | 2021-05-13T15:08:12.000Z | # Generated by Django 3.2 on 2021-05-03 23:05
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('profiles', '0007_alter_relationship_managers'),
]
operations = [
migrations.CreateModel(
... | 36.37931 | 131 | 0.617062 |
7952619ae3844ac0b36c3566ebb9a2737af62eb2 | 7,587 | py | Python | gsae/utils/load_splits.py | dbhaskar92/GSAE | 3340dfc38f95b29ff04d890d93deedf8dcae9324 | [
"Apache-2.0"
] | 3 | 2021-05-18T21:28:54.000Z | 2022-01-29T23:59:18.000Z | gsae/utils/load_splits.py | dbhaskar92/GSAE | 3340dfc38f95b29ff04d890d93deedf8dcae9324 | [
"Apache-2.0"
] | null | null | null | gsae/utils/load_splits.py | dbhaskar92/GSAE | 3340dfc38f95b29ff04d890d93deedf8dcae9324 | [
"Apache-2.0"
] | 3 | 2021-07-07T17:48:28.000Z | 2022-01-29T23:59:21.000Z | import numpy as np
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from gsae.utils import eval_metrics
# DEFINE THESE GLOBAL VARIABLES WITH YOUR OWN PATHS TO DATA
########################################
SEQ3_DATA_DIR = ''
SEQ4_DATA_DIR = ''
HIVTAR_DATA_DIR = ''
... | 33.131004 | 99 | 0.626203 |
795261c4a0db7e1ccd4e62ff4c7a884211b985e0 | 3,567 | py | Python | accelerator/test_methods/a_test_rechain.py | sebras/berkeman-accelerator | be9d1b25ffdb66411db465bdbf3932ab937c5ace | [
"Apache-2.0"
] | null | null | null | accelerator/test_methods/a_test_rechain.py | sebras/berkeman-accelerator | be9d1b25ffdb66411db465bdbf3932ab937c5ace | [
"Apache-2.0"
] | null | null | null | accelerator/test_methods/a_test_rechain.py | sebras/berkeman-accelerator | be9d1b25ffdb66411db465bdbf3932ab937c5ace | [
"Apache-2.0"
] | null | null | null | ############################################################################
# #
# Copyright (c) 2019 Carl Drougge #
# #
# Licensed u... | 46.934211 | 99 | 0.583403 |
795263e8dea3e395ad6bb8df0351e520a0a4f702 | 219 | py | Python | dsat/test/__init__.py | jul/dsat | f1d4263eb29530f931273f0dd2e74b93b8bacca3 | [
"BSD-2-Clause"
] | 2 | 2015-10-25T04:07:40.000Z | 2017-06-22T20:18:10.000Z | dsat/test/__init__.py | jul/dsat | f1d4263eb29530f931273f0dd2e74b93b8bacca3 | [
"BSD-2-Clause"
] | 5 | 2015-01-20T14:44:28.000Z | 2015-01-20T14:50:12.000Z | dsat/test/__init__.py | jul/dsat | f1d4263eb29530f931273f0dd2e74b93b8bacca3 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import absolute_import
import unittest
from dsat.test.test_state import TestFilterDict
from dsat.test.test_st_send_parse import TestSendParse
if __name__ == '__main__':
unittest.main(verbosity=4)
| 21.9 | 54 | 0.821918 |
7952644ebf47766b7f6eae6f77084e12872117a4 | 3,702 | py | Python | RAISoft/instruments/TTi.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | RAISoft/instruments/TTi.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | RAISoft/instruments/TTi.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | #from GPIBdevices import GPIBDevice
#from SERIALdevices import SERIALDevice
from DummyMeter import Bedna
# import bus
from numpy import array
from time import sleep
class PStsx3510P(Bedna):
"""
# test PowerSource
from threading import Thread
from time import sleep
import random
... | 30.097561 | 71 | 0.548622 |
7952648bd92bca9903e524922674905dc24b5a47 | 2,601 | py | Python | cumulusci/tasks/salesforce/BaseRetrieveMetadata.py | justindonnaruma/CumulusCI | cc097c1f6f102a104f83ad9a9684af9d6bc0af31 | [
"BSD-3-Clause"
] | null | null | null | cumulusci/tasks/salesforce/BaseRetrieveMetadata.py | justindonnaruma/CumulusCI | cc097c1f6f102a104f83ad9a9684af9d6bc0af31 | [
"BSD-3-Clause"
] | 2 | 2021-03-25T23:56:47.000Z | 2021-03-31T19:52:05.000Z | cumulusci/tasks/salesforce/BaseRetrieveMetadata.py | justindonnaruma/CumulusCI | cc097c1f6f102a104f83ad9a9684af9d6bc0af31 | [
"BSD-3-Clause"
] | null | null | null | from cumulusci.core.utils import process_bool_arg
from cumulusci.tasks.salesforce import BaseSalesforceMetadataApiTask
from cumulusci.utils import zip_inject_namespace
from cumulusci.utils import zip_strip_namespace
from cumulusci.utils import zip_tokenize_namespace
class BaseRetrieveMetadata(BaseSalesforceMetadataAp... | 49.075472 | 296 | 0.678201 |
795264c0eb2e7292c1dd16f454213f7cbda121ea | 1,664 | py | Python | origins/migrations/0081_auto_20220106_0124.py | dennereed/paleocore | d6da6c39cde96050ee4b9e7213ec1200530cbeee | [
"MIT"
] | null | null | null | origins/migrations/0081_auto_20220106_0124.py | dennereed/paleocore | d6da6c39cde96050ee4b9e7213ec1200530cbeee | [
"MIT"
] | null | null | null | origins/migrations/0081_auto_20220106_0124.py | dennereed/paleocore | d6da6c39cde96050ee4b9e7213ec1200530cbeee | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2022-01-06 01:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('origins', '0080_auto_20211209_1423'),
]
operations = [
migrations.AddField(
model_name='nomen',
name='generic_name',... | 37.818182 | 186 | 0.602163 |
79526558c7b20033331dcc6b639869c681bc3b2e | 16,733 | py | Python | app/engine/skill_system.py | zerorock1312/lt-maker-master | 82f733683f9dba763a5de8567c41fd7cbcfb0173 | [
"MIT"
] | null | null | null | app/engine/skill_system.py | zerorock1312/lt-maker-master | 82f733683f9dba763a5de8567c41fd7cbcfb0173 | [
"MIT"
] | null | null | null | app/engine/skill_system.py | zerorock1312/lt-maker-master | 82f733683f9dba763a5de8567c41fd7cbcfb0173 | [
"MIT"
] | null | null | null | class Defaults():
@staticmethod
def can_select(unit) -> bool:
return unit.team == 'player'
@staticmethod
def check_ally(unit1, unit2) -> bool:
if unit1 is unit2:
return True
elif unit1.team == 'player' or unit1.team == 'other':
return unit2.team == 'playe... | 37.350446 | 149 | 0.595769 |
795265591cb23f5862ab396366f61bce30369b4a | 710 | py | Python | NTA_detect_domain_flux.py | SYANiDE-/ViolentPython | 1e56ef7f006272b170bba0a642860a892c016baa | [
"BSD-2-Clause"
] | 2 | 2019-02-21T08:38:32.000Z | 2019-02-22T03:15:02.000Z | NTA_detect_domain_flux.py | SYANiDE-/ViolentPython | 1e56ef7f006272b170bba0a642860a892c016baa | [
"BSD-2-Clause"
] | null | null | null | NTA_detect_domain_flux.py | SYANiDE-/ViolentPython | 1e56ef7f006272b170bba0a642860a892c016baa | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python2
from scapy.all import *
import sys
def QRTest(pk):
if pk.haslayer(DNSRR) and pk.getlayer(UDP).sport == 53:
rcode = pk.getlayer(DNS).rcode
qname = pk.getlayer(DNSQR).qname
if rcode == 3:
print("[!] Name lookup failed: %s" % qname)
return True
... | 21.515152 | 60 | 0.504225 |
795267097d2f8a808fe305716e45f2dd983268d2 | 6,106 | py | Python | canopy/openapi/models/new_study_data_source.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | null | null | null | canopy/openapi/models/new_study_data_source.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | 1 | 2022-01-31T10:18:08.000Z | 2022-01-31T10:18:08.000Z | canopy/openapi/models/new_study_data_source.py | CanopySimulations/canopy-python | 9ec37e674e65d6fbef0402ac0c612c163d55631e | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Canopy.Api
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from ca... | 27.137778 | 143 | 0.585653 |
7952671517cfbf1dc7e9bc8daf3e7bd62e1d2b1d | 4,919 | py | Python | read_data_cifar100.py | ImLaoBJie/yolo3_sort_deepsort | ae34fab9a2a7ae122a38bc44d145f049e2808b52 | [
"MIT"
] | 13 | 2020-07-16T16:59:49.000Z | 2022-02-06T14:12:32.000Z | read_data_cifar100.py | ronyclear/yolo3sort | 6a6028d42f240aa0b79656f36f85f96b9a90ab00 | [
"MIT"
] | 2 | 2020-10-13T02:03:55.000Z | 2021-04-24T14:59:04.000Z | read_data_cifar100.py | ronyclear/yolo3sort | 6a6028d42f240aa0b79656f36f85f96b9a90ab00 | [
"MIT"
] | 4 | 2019-12-28T05:59:32.000Z | 2020-04-12T14:13:35.000Z | import pickle
import numpy as np
import os
import matplotlib.pyplot as plt
PATH = 'cifar-100-python/'
REMOVE = list(range(0, 100))
REMAIN = list(np.concatenate([[11, 35, 46, 98], [8, 13, 48, 58], [81, 85]]))
for i in REMAIN:
REMOVE.remove(i)
def filter(image, label):
# filter
remove_index = []
for in... | 29.106509 | 87 | 0.630616 |
7952675efdb3678e523cae7768d4d265a384a903 | 654 | py | Python | taco_aug_scripts/get_zw_metal_avg_wxh.py | dbash/zerowaste | 4047ae92a31cece9d848d38a57fd33cc85e7a8bb | [
"MIT"
] | 11 | 2021-06-09T04:16:39.000Z | 2022-03-02T07:33:25.000Z | taco_aug_scripts/get_zw_metal_avg_wxh.py | dbash/zerowaste | 4047ae92a31cece9d848d38a57fd33cc85e7a8bb | [
"MIT"
] | 2 | 2022-01-11T10:15:15.000Z | 2022-03-24T23:16:13.000Z | create_zerowasteaug/get_zw_metal_avg_wxh.py | dbash/zerowaste | 4047ae92a31cece9d848d38a57fd33cc85e7a8bb | [
"MIT"
] | 3 | 2021-11-02T08:26:10.000Z | 2022-02-24T06:09:58.000Z | import json
import os
import shutil
import ntpath
#
f = open('/research/axns2/mabdelfa/TACO/data/coco_format/labels.json',)
data = json.load(f)
total_w = 0
total_h = 0
n = 0
for ann in data['annotations']:
if ann['category_id'] == 3:
total_w += ann['bbox'][2]
total_h += ann['bbox'][3]
n +=... | 21.8 | 77 | 0.619266 |
795267c3f831a21d6f02048c881ca79c8ce5cbe4 | 2,090 | py | Python | tests/providers/google/cloud/operators/test_video_intelligence_system.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 3 | 2015-08-25T13:56:44.000Z | 2020-03-21T10:26:58.000Z | tests/providers/google/cloud/operators/test_video_intelligence_system.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 37 | 2020-07-21T07:50:02.000Z | 2022-03-29T22:31:28.000Z | tests/providers/google/cloud/operators/test_video_intelligence_system.py | IGIT-CN/airflow | a6e5bcd59198afe5716813e84ebc4c59eade532c | [
"Apache-2.0"
] | 4 | 2020-07-17T14:02:28.000Z | 2022-02-23T04:29:58.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 38.703704 | 103 | 0.745455 |
795268ec9e57b5fa316a76d81f92ba12d0f3ef4f | 30,778 | py | Python | bin/jbam_tools_v02.py | yasinkaymaz/ViralGenomeAssembly | 03e75ee7358946823660a299e0718213dbbd161c | [
"MIT"
] | null | null | null | bin/jbam_tools_v02.py | yasinkaymaz/ViralGenomeAssembly | 03e75ee7358946823660a299e0718213dbbd161c | [
"MIT"
] | null | null | null | bin/jbam_tools_v02.py | yasinkaymaz/ViralGenomeAssembly | 03e75ee7358946823660a299e0718213dbbd161c | [
"MIT"
] | null | null | null | #!/usr/bin/python
###standard modules
import argparse #parse initial arguements from command line
import re
import os
import os.path
import pickle
import sys
import subprocess
import textwrap
import glob
import csv
from collections import defaultdict, Counter
#from collections import namedtuple
import collections
#k... | 38.665829 | 255 | 0.662649 |
795268edd6c4ccd02cba51eeca0a18534bcc7c6f | 3,387 | py | Python | python_package/madflow/parameters.py | simonthor/madflow | cc4ee123d1d6cea7295a8f4be774eff87ea727cf | [
"Apache-2.0"
] | 6 | 2021-06-22T06:49:48.000Z | 2021-06-24T02:38:37.000Z | python_package/madflow/parameters.py | simonthor/madflow | cc4ee123d1d6cea7295a8f4be774eff87ea727cf | [
"Apache-2.0"
] | 13 | 2021-06-14T13:27:03.000Z | 2022-03-28T09:53:46.000Z | python_package/madflow/parameters.py | simonthor/madflow | cc4ee123d1d6cea7295a8f4be774eff87ea727cf | [
"Apache-2.0"
] | 1 | 2022-02-15T19:27:36.000Z | 2022-02-15T19:27:36.000Z | """
Utilities and functions to deal with the parameters of the model
"""
from .config import DTYPE, DTYPECOMPLEX, complex_me, float_me, run_eager
import numpy as np
import tensorflow as tf
from itertools import chain
GS_SIGNATURE = [tf.TensorSpec(shape=[None], dtype=DTYPECOMPLEX)]
ALPHAS_SIGNATURE = [tf.TensorSpec... | 34.212121 | 93 | 0.64659 |
79526936d823fb0451afd6fbf6985a5c34d9f1e0 | 2,640 | py | Python | saleor/order/tests/test_order_search.py | Vultik/saleor | dc8548f7ad49cc26950dbfa0fd81f02617350240 | [
"CC-BY-4.0"
] | null | null | null | saleor/order/tests/test_order_search.py | Vultik/saleor | dc8548f7ad49cc26950dbfa0fd81f02617350240 | [
"CC-BY-4.0"
] | null | null | null | saleor/order/tests/test_order_search.py | Vultik/saleor | dc8548f7ad49cc26950dbfa0fd81f02617350240 | [
"CC-BY-4.0"
] | null | null | null | from decimal import Decimal
from ...discount import DiscountValueType
from ..models import OrderLine
from ..search import prepare_order_search_vector_value, update_order_search_vector
def test_update_order_search_vector(order):
# given
order.search_vector = ""
order.save(update_fields=["search_vector"])
... | 27.5 | 82 | 0.723106 |
7952697d914fdc80daa0d4bd33b92e0970954677 | 992 | py | Python | tests/test_cband_h5.py | RocketRoss/setigen | fde4434094b5cc0d095c341d0b90e8f65c9e9215 | [
"MIT"
] | 21 | 2019-01-25T20:44:56.000Z | 2022-03-16T23:30:26.000Z | tests/test_cband_h5.py | RocketRoss/setigen | fde4434094b5cc0d095c341d0b90e8f65c9e9215 | [
"MIT"
] | 7 | 2020-07-15T08:54:27.000Z | 2021-09-24T03:57:30.000Z | tests/test_cband_h5.py | RocketRoss/setigen | fde4434094b5cc0d095c341d0b90e8f65c9e9215 | [
"MIT"
] | 10 | 2020-03-17T17:59:26.000Z | 2022-02-01T08:33:11.000Z | import pytest
import os
import numpy as np
# from astropy import units as u
import setigen as stg
@pytest.fixture()
def frame_setup_from_h5():
my_path = os.path.abspath(os.path.dirname(__file__))
path = os.path.join(my_path, 'assets/sample.fil')
frame = stg.Frame(waterfall=path)
return frame
def te... | 28.342857 | 57 | 0.714718 |
79526a360c29da4c2b5320e1dc30a9a350d4bff9 | 5,249 | py | Python | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 4 | 2021-07-20T18:49:44.000Z | 2021-10-15T00:58:12.000Z | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | null | null | null | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 2 | 2022-01-07T17:57:42.000Z | 2022-01-13T21:00:20.000Z | # std
from typing import Any, Dict, List, Optional, Union
# external
import pkg_resources
import sqlalchemy
from sqlalchemy.orm import aliased, Session
# molar
from molar.backend import schemas
from molar.backend.database.utils import sqlalchemy_to_dict
INFORMATION_QUERY = open(
pkg_resources.resource_filename("... | 30.34104 | 87 | 0.594589 |
79526a522d81da774830d310028e606e8f0cd906 | 14,324 | py | Python | metal/unit.py | cHemingway/test | 7fcbd56ad6fe5368b927ea146363bf3d69cd7617 | [
"Apache-2.0"
] | 24 | 2020-07-24T18:33:58.000Z | 2022-03-23T21:00:19.000Z | metal/unit.py | cHemingway/test | 7fcbd56ad6fe5368b927ea146363bf3d69cd7617 | [
"Apache-2.0"
] | 4 | 2020-07-27T05:44:26.000Z | 2021-09-02T16:05:47.000Z | metal/unit.py | cHemingway/test | 7fcbd56ad6fe5368b927ea146363bf3d69cd7617 | [
"Apache-2.0"
] | 1 | 2020-07-25T15:13:20.000Z | 2020-07-25T15:13:20.000Z | import json
import sys
class Control:
enter = "enter"
exit = "exit"
cancel = "cancel"
class Level:
info = "info"
warning = "expect"
assertion = "assert"
class Scope:
def __init__(self, name):
self.executed = 0
self.errors = 0
self.warnings = 0
self.... | 53.447761 | 247 | 0.590687 |
79526b32e1bed3a119aff208442acaf6a1cd2382 | 9,656 | py | Python | excel_validator.py | Vinaychalluru/excel_validator | 9e5f7d643694abccd807a5417030f0e67a4b1a40 | [
"MIT"
] | null | null | null | excel_validator.py | Vinaychalluru/excel_validator | 9e5f7d643694abccd807a5417030f0e67a4b1a40 | [
"MIT"
] | null | null | null | excel_validator.py | Vinaychalluru/excel_validator | 9e5f7d643694abccd807a5417030f0e67a4b1a40 | [
"MIT"
] | 1 | 2019-11-08T03:09:03.000Z | 2019-11-08T03:09:03.000Z | #!/usr/bin/python -u
# -*- coding: UTF-8 -*-
import argparse
import os.path
import sys
import time
import yaml
from openpyxl.reader.excel import load_workbook
from openpyxl.styles import PatternFill
from openpyxl.utils import column_index_from_string, get_column_letter
from progress.bar import Bar
from validator import... | 33.880702 | 140 | 0.613815 |
79526c03d69ed64515442e861d8f14dbac929b0b | 15,175 | py | Python | google/ads/google_ads/v6/proto/resources/ad_group_ad_asset_view_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v6/proto/resources/ad_group_ad_asset_view_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v6/proto/resources/ad_group_ad_asset_view_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads/v6/resources/ad_group_ad_asset_view.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf imp... | 69.610092 | 2,385 | 0.816738 |
79526d509f0b5aebf6b83e2b5a23e69b459f8168 | 6,913 | py | Python | tests/testapp/models.py | behconsci/django-extensions | 716832fb9fbe78c6970930b378e0c0962beccd2e | [
"MIT"
] | null | null | null | tests/testapp/models.py | behconsci/django-extensions | 716832fb9fbe78c6970930b378e0c0962beccd2e | [
"MIT"
] | null | null | null | tests/testapp/models.py | behconsci/django-extensions | 716832fb9fbe78c6970930b378e0c0962beccd2e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.db import models
from django_extensions.db.fields import (
AutoSlugField,
RandomCharField,
ShortUUIDField,
)
from django_extensions.db.fields.json import JSONField
from django_extensions.db.models import ActivatorModel, TimeStampedModel
class Secret(models.Model):
... | 25.047101 | 92 | 0.729929 |
79526d97613a8658719e35ea734ad3566bf14f36 | 9,484 | py | Python | enigma/machine.py | spgill/enigma | b9cf3aff2e3c4ef442c578cbddc39a9b53dadb4e | [
"MIT"
] | 1 | 2021-01-01T14:02:53.000Z | 2021-01-01T14:02:53.000Z | enigma/machine.py | spgill/enigma | b9cf3aff2e3c4ef442c578cbddc39a9b53dadb4e | [
"MIT"
] | null | null | null | enigma/machine.py | spgill/enigma | b9cf3aff2e3c4ef442c578cbddc39a9b53dadb4e | [
"MIT"
] | null | null | null | # stdlib imports
import array
import enum
import io
import pickle
import random
# third party imports
# local module imports
import enigma.rotors as rotors
class OUTPUT(enum.Enum):
PENTAGRAPH = 1
CONTINUOUS = 2
class Machine:
def __init__(
self,
plugboardStack=[],
r... | 29.453416 | 78 | 0.560418 |
79526dc8083815714585aa4e3c0857f0f19c6166 | 28,272 | py | Python | neutron/services/segments/plugin.py | acdc-cloud/neutron | 2510836886555179f9e9e39b1fdbf94296befc51 | [
"Apache-2.0"
] | 1 | 2018-10-19T01:48:37.000Z | 2018-10-19T01:48:37.000Z | neutron/services/segments/plugin.py | acdc-cloud/neutron | 2510836886555179f9e9e39b1fdbf94296befc51 | [
"Apache-2.0"
] | null | null | null | neutron/services/segments/plugin.py | acdc-cloud/neutron | 2510836886555179f9e9e39b1fdbf94296befc51 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Hewlett Packard Enterprise Development, LP
#
# 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/LICENS... | 46.271686 | 79 | 0.624186 |
79526e3a2cbb8312099bad294c645cd36ef0b1cb | 2,819 | py | Python | build/lib/anipick/char.py | pengode-handal/anipick | f711620d9c12581f13f951204151b60eac4e1736 | [
"MIT"
] | 1 | 2022-03-02T07:59:15.000Z | 2022-03-02T07:59:15.000Z | build/lib/anipick/char.py | pengode-handal/anipick | f711620d9c12581f13f951204151b60eac4e1736 | [
"MIT"
] | null | null | null | build/lib/anipick/char.py | pengode-handal/anipick | f711620d9c12581f13f951204151b60eac4e1736 | [
"MIT"
] | null | null | null | import requests
from googlesearch import search
from bs4 import BeautifulSoup
from .error_handling import SearchNotWork, NoResultFound
class Charapedia:
def __init__(self, char: str):
try:
mal_char_id = search('site:myanimelist.net {} character info inurl:/character/'.format(char), num_results=0)
... | 27.105769 | 114 | 0.60447 |
79526ed527e874489a5258e088040fb8d2ea6fc8 | 5,485 | py | Python | tests/python/contrib/test_ethosu/test_replace_pooling.py | Xuyuanjia2014/tvm | 892f8305e77ad506660b851f9ce4c81be0f95d9d | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | tests/python/contrib/test_ethosu/test_replace_pooling.py | Xuyuanjia2014/tvm | 892f8305e77ad506660b851f9ce4c81be0f95d9d | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | tests/python/contrib/test_ethosu/test_replace_pooling.py | Xuyuanjia2014/tvm | 892f8305e77ad506660b851f9ce4c81be0f95d9d | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 33.858025 | 95 | 0.60948 |
79526f539b86da455bb0ee580c6958bcb341cb8a | 1,105 | py | Python | setup.py | srimani-programmer/password-checker | 8a069e7806d53ee2d274e3d2362253215d49446e | [
"MIT"
] | null | null | null | setup.py | srimani-programmer/password-checker | 8a069e7806d53ee2d274e3d2362253215d49446e | [
"MIT"
] | null | null | null | setup.py | srimani-programmer/password-checker | 8a069e7806d53ee2d274e3d2362253215d49446e | [
"MIT"
] | null | null | null | from setuptools import setup
def readme():
with open('README.md') as f:
README = f.read()
return README
setup(
name="password-checker",
version="1.0.0",
description="A Python package to check vulnerability and strength of a password.",
long_description=readme(),
long_description_c... | 33.484848 | 86 | 0.644344 |
79526fb74a18df42297d4ef1cdf728ec17327d74 | 10,054 | py | Python | SOURCES/ddstat/ddstat.py | dingqiangliu/vertica-minio | 0defc75084743f872b659f1dd35a989a57939de3 | [
"Apache-2.0"
] | null | null | null | SOURCES/ddstat/ddstat.py | dingqiangliu/vertica-minio | 0defc75084743f872b659f1dd35a989a57939de3 | [
"Apache-2.0"
] | null | null | null | SOURCES/ddstat/ddstat.py | dingqiangliu/vertica-minio | 0defc75084743f872b659f1dd35a989a57939de3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
#encoding: utf-8
#
# Copyright (c) 2017 - 2020
# Description: cluster monitoring
# Author: DingQiang Liu
import os, sys
from optparse import OptionParser
import logging
import time
from cStringIO import StringIO
import re
from getpass import getuser
from cluster import getCluster
import util.re... | 30.466667 | 178 | 0.582455 |
7952719678e7657e79ff48d081e9d315ed60c5ff | 757 | py | Python | ckanext/scheming/tests/test_group_display.py | fjelltopp/ckanext-scheming | e7f863d5b94547d2362f93b0888a60b34ff6bae5 | [
"MIT"
] | null | null | null | ckanext/scheming/tests/test_group_display.py | fjelltopp/ckanext-scheming | e7f863d5b94547d2362f93b0888a60b34ff6bae5 | [
"MIT"
] | 10 | 2020-03-17T19:21:12.000Z | 2021-05-10T10:47:16.000Z | ckanext/scheming/tests/test_group_display.py | fjelltopp/ckanext-scheming | e7f863d5b94547d2362f93b0888a60b34ff6bae5 | [
"MIT"
] | null | null | null | import pytest
from ckantoolkit.tests.factories import Sysadmin, Organization, Group
@pytest.mark.usefixtures("clean_db")
class TestOrganizationDisplay(object):
def test_organization_displays_custom_fields(self, app):
user = Sysadmin()
Organization(user=user, name="org-one", department_id="3008")
... | 32.913043 | 82 | 0.712021 |
795271d979672aace5c79565e2cb6c238daa0259 | 5,788 | py | Python | custom_components/sensor/folder.py | robmarkcole/HASS-folder-sensor | 3d451415ef8e72270b37162b9d84eb746c068477 | [
"MIT"
] | 3 | 2018-02-02T10:40:17.000Z | 2018-02-23T00:38:58.000Z | custom_components/sensor/folder.py | robmarkcole/HASS-folder-sensor | 3d451415ef8e72270b37162b9d84eb746c068477 | [
"MIT"
] | 1 | 2018-02-01T09:17:16.000Z | 2018-02-01T19:07:55.000Z | custom_components/sensor/folder.py | robmarkcole/HASS-folder-sensor | 3d451415ef8e72270b37162b9d84eb746c068477 | [
"MIT"
] | null | null | null | """
Sensor for monitoring the contents of a folder.
For more details about this platform, refer to the documentation at
https://home-assistant.io/components/sensor.folder/
"""
import datetime
from datetime import timedelta
import glob
import logging
import os
import voluptuous as vol
from homeassistant.helpers.entit... | 33.456647 | 78 | 0.646856 |
795272827e309bb50ffc78a45ab9a5f53ebaf313 | 1,798 | py | Python | scss/tests/functions/compass/test_gradients.py | ojengwa/pyScss | fcd3b4604bc5cd34b0d36e845f89e5abaa7058ea | [
"MIT"
] | 1 | 2016-02-13T15:46:39.000Z | 2016-02-13T15:46:39.000Z | scss/tests/functions/compass/test_gradients.py | ojengwa/pyScss | fcd3b4604bc5cd34b0d36e845f89e5abaa7058ea | [
"MIT"
] | null | null | null | scss/tests/functions/compass/test_gradients.py | ojengwa/pyScss | fcd3b4604bc5cd34b0d36e845f89e5abaa7058ea | [
"MIT"
] | null | null | null | """Tests for Compass gradient generation."""
from scss.expression import Calculator
from scss.functions.compass.gradients import COMPASS_GRADIENTS_LIBRARY, linear_gradient
from scss.rule import Namespace
from scss.types import String, List, Number, Color
import pytest
@pytest.fixture
def calc():
ns = Namespace(... | 31 | 87 | 0.660178 |
795272d39e4a6dacdb4d5a3ddb7b34a1a3d778e7 | 4,270 | py | Python | lib/ssds.py | iSmida/DetectionYolo | b7e1eb26ca874da797cee02cb3e1639cf3546e0c | [
"MIT"
] | 3 | 2019-08-28T10:08:24.000Z | 2020-08-10T08:58:42.000Z | lib/ssds.py | iSmida/DetectionYolo | b7e1eb26ca874da797cee02cb3e1639cf3546e0c | [
"MIT"
] | null | null | null | lib/ssds.py | iSmida/DetectionYolo | b7e1eb26ca874da797cee02cb3e1639cf3546e0c | [
"MIT"
] | 1 | 2020-04-29T11:01:43.000Z | 2020-04-29T11:01:43.000Z | from __future__ import print_function
import numpy as np
import torch
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
import timeit
from lib.layers import *
from lib.utils.timer import Timer
from lib.utils.data_augment import preproc
from lib.modeling.model_builder import create_model
from li... | 39.174312 | 116 | 0.605152 |
7952734c32f89b44a128eeda5c79b42a2ebda219 | 545 | py | Python | manage.py | panda1994zhang/earthquake | 1dead943782a73a535e04929a5302ef1db2b4d84 | [
"MIT"
] | 3 | 2018-09-19T10:57:27.000Z | 2019-05-08T02:10:41.000Z | manage.py | aoii103/EarthquakeSpy | 437228128dbe40bd7976013d4187c062109360bc | [
"MIT"
] | 6 | 2020-08-05T11:08:13.000Z | 2021-06-10T19:57:20.000Z | manage.py | panda1994zhang/earthquake | 1dead943782a73a535e04929a5302ef1db2b4d84 | [
"MIT"
] | 1 | 2020-08-31T11:33:54.000Z | 2020-08-31T11:33:54.000Z | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "EarthquakeSpy.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django... | 34.0625 | 77 | 0.689908 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.