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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0684a59b5485fb53c2b1588876b4d3d204cb4623 | 4,046 | py | Python | braids/resources/characters.py | oscillating-gate/eurorack | 35bf03aa35b01a7a4a9b0a0ca2898677cd3a9f6a | [
"MIT"
] | 233 | 2018-07-02T16:49:36.000Z | 2022-02-27T21:45:39.000Z | braids/resources/characters.py | oscillating-gate/eurorack | 35bf03aa35b01a7a4a9b0a0ca2898677cd3a9f6a | [
"MIT"
] | 24 | 2018-07-09T11:32:15.000Z | 2022-01-07T01:45:43.000Z | braids/resources/characters.py | oscillating-gate/eurorack | 35bf03aa35b01a7a4a9b0a0ca2898677cd3a9f6a | [
"MIT"
] | 24 | 2018-07-14T21:55:30.000Z | 2021-05-04T04:20:34.000Z | # Copyright 2012 Olivier Gillet.
#
# Author: Olivier Gillet (ol.gillet@gmail.com)
#
# 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 right... | 20.129353 | 79 | 0.505685 |
5dde8c9aec8fd941c02d63e3b877a5d9872e789f | 1,143 | py | Python | core/dense.py | vishalmanes109/nn-from-scratch | 53de76f39dfea3f625ec542536f0ab3bc44d0224 | [
"MIT"
] | 2 | 2020-10-09T05:50:14.000Z | 2021-04-10T08:52:03.000Z | core/dense.py | vishalmanes109/nn-from-scratch | 53de76f39dfea3f625ec542536f0ab3bc44d0224 | [
"MIT"
] | null | null | null | core/dense.py | vishalmanes109/nn-from-scratch | 53de76f39dfea3f625ec542536f0ab3bc44d0224 | [
"MIT"
] | null | null | null | from .layer import Layer
import numpy as np
import config
class Dense(Layer):
# input_size = Number of Input Neurons
# output_size = Number of Output Neurons
def __init__(self, input_size, output_size):
self.weights = np.random.rand(input_size, output_size) - 0.5
self.bias = np.random.rand... | 34.636364 | 78 | 0.657918 |
747f02f3688a9b2541bc42c21f75e326d7c645b5 | 978 | py | Python | bot.py | RobinMcNally/DiscordBot | 5fe03d23e72a7eeb0719f6cb1aa63c9c6c9c67c1 | [
"MIT"
] | null | null | null | bot.py | RobinMcNally/DiscordBot | 5fe03d23e72a7eeb0719f6cb1aa63c9c6c9c67c1 | [
"MIT"
] | null | null | null | bot.py | RobinMcNally/DiscordBot | 5fe03d23e72a7eeb0719f6cb1aa63c9c6c9c67c1 | [
"MIT"
] | null | null | null | import json
import os.path
import sys
import urllib.request
from features.roll_backend import roll_backend
from features.asciify_backend import asciify_backend
from discord.ext.commands import Bot
generic_error = "```I'm just a poor robot. Stop trying to break me!```"
#Bot function definitions
bot = Bot(command_prefi... | 24.45 | 71 | 0.688139 |
f55c513370946b425d988bc66b2b690b1a68248b | 4,113 | py | Python | datalad/support/json_py.py | jelmer/datalad | fedc04867d87e0191bd500991d0df97e97113457 | [
"MIT"
] | null | null | null | datalad/support/json_py.py | jelmer/datalad | fedc04867d87e0191bd500991d0df97e97113457 | [
"MIT"
] | null | null | null | datalad/support/json_py.py | jelmer/datalad | fedc04867d87e0191bd500991d0df97e97113457 | [
"MIT"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... | 26.197452 | 101 | 0.616095 |
b63b157f0103b6c6cd8cb84646fd73d9f1ce74ec | 37,398 | py | Python | test/functional/wallet_importmulti.py | stamhe/bitcoin-abc | a1ba303c6b4f164ae94612e83b824e564405a96e | [
"MIT"
] | 1 | 2022-01-09T22:29:10.000Z | 2022-01-09T22:29:10.000Z | test/functional/wallet_importmulti.py | EGYVOICE/bitcoin-abc-avalanche | e0f1fe857e1fc85f01903f1c323c2d5c54aecc1c | [
"MIT"
] | 17 | 2021-08-06T21:27:41.000Z | 2022-03-31T08:28:08.000Z | test/functional/wallet_importmulti.py | EGYVOICE/bitcoin-abc-avalanche | e0f1fe857e1fc85f01903f1c323c2d5c54aecc1c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2019 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the importmulti RPC.
Test importmulti by generating keys on node0, importing the scriptPubKeys an... | 47.459391 | 299 | 0.552142 |
86b3348ca8f6adc57a37a549254eae6794e335dd | 8,665 | py | Python | src/models/udt/train.py | alexmlamb/SPUDT | 5d4ff32c9e37a485c176d3e68c58723e544972e5 | [
"MIT"
] | null | null | null | src/models/udt/train.py | alexmlamb/SPUDT | 5d4ff32c9e37a485c176d3e68c58723e544972e5 | [
"MIT"
] | null | null | null | src/models/udt/train.py | alexmlamb/SPUDT | 5d4ff32c9e37a485c176d3e68c58723e544972e5 | [
"MIT"
] | null | null | null | import time
import os
import torch
import torch.nn.functional as F
from torch import optim
from common.util import sample, save_models
from evaluation.fid import calculate_fid
from common.initialize import initialize, infer_iteration
from . import model
def gp_loss(x, y, d, device):
batch_size = x.size()[0]
... | 36.87234 | 114 | 0.633353 |
9af5dc5f75cc9a70253e14625aab13e5e4dc1558 | 114,849 | py | Python | mypy/nodes.py | aghast/mypy | 13ae58ffe8bedb7da9f4c657297f0d61e681d671 | [
"PSF-2.0"
] | null | null | null | mypy/nodes.py | aghast/mypy | 13ae58ffe8bedb7da9f4c657297f0d61e681d671 | [
"PSF-2.0"
] | null | null | null | mypy/nodes.py | aghast/mypy | 13ae58ffe8bedb7da9f4c657297f0d61e681d671 | [
"PSF-2.0"
] | null | null | null | """Abstract syntax tree node classes (i.e. parse tree)."""
import os
from abc import abstractmethod
from mypy.ordered_dict import OrderedDict
from collections import defaultdict
from typing import (
Any, TypeVar, List, Tuple, cast, Set, Dict, Union, Optional, Callable, Sequence, Iterator
)
from typing_extensions i... | 35.327284 | 99 | 0.618926 |
14f101791d2fe3da76d97db64c0d8c720765b1e2 | 237 | py | Python | config/app_config.py | Juyeon125/Multi_pred | 048986428434d9927989f86e93ea6fa6ce33d0ae | [
"MIT"
] | 1 | 2020-10-15T08:05:41.000Z | 2020-10-15T08:05:41.000Z | config/app_config.py | Juyeon125/Multi_pred | 048986428434d9927989f86e93ea6fa6ce33d0ae | [
"MIT"
] | null | null | null | config/app_config.py | Juyeon125/Multi_pred | 048986428434d9927989f86e93ea6fa6ce33d0ae | [
"MIT"
] | null | null | null | import os
class LocalLevelConfig:
ENV = "development"
DEBUG = True
SECRET_KEY = "ce7ea57bcec4ea045191c43a"
class ProductionLevelConfig:
ENV = "production"
DEBUG = False
SECRET_KEY = "5ae9fc9c349602a1111ef1d4"
| 16.928571 | 43 | 0.71308 |
5a65d2ad4d0faf195a86a3cd8d1a394318396e23 | 354 | py | Python | visual_novel/visual_novel/settings/local.py | dolamroth/visual_novel | c67379df395561b3bca7e91e2db6547d2e943330 | [
"MIT"
] | 9 | 2018-03-11T12:53:12.000Z | 2020-12-19T14:21:53.000Z | visual_novel/visual_novel/settings/local.py | dolamroth/visual_novel | c67379df395561b3bca7e91e2db6547d2e943330 | [
"MIT"
] | 6 | 2020-02-11T22:19:22.000Z | 2022-03-11T23:20:10.000Z | visual_novel/visual_novel/settings/local.py | dolamroth/visual_novel | c67379df395561b3bca7e91e2db6547d2e943330 | [
"MIT"
] | null | null | null | from .base import *
DEBUG = True
STATIC_ROOT = os.path.join(BASE_DIR, '')
STATICFILES_DIRS = [
os.path.join(BASE_DIR, "static"),
]
ALLOWED_HOSTS += ['127.0.0.1']
CACHES = {
"default": {
"BACKEND": "django.core.cache.backends.db.DatabaseCache",
"LOCATION": "cache_table_for_local_development"... | 16.857143 | 65 | 0.649718 |
d6695af7d9358a0cad2ad2f4a628fd0deb2f7cc6 | 673 | py | Python | pyrival/algebra/discrete_log.py | MattJDavidson/aoc2021 | 1c26697da55e58408f36525639d201303f808b1b | [
"Apache-2.0"
] | 748 | 2018-09-27T01:08:12.000Z | 2022-03-25T17:31:56.000Z | pyrival/algebra/discrete_log.py | MattJDavidson/aoc2021 | 1c26697da55e58408f36525639d201303f808b1b | [
"Apache-2.0"
] | 38 | 2019-02-24T14:50:02.000Z | 2022-03-25T01:27:50.000Z | pyrival/algebra/discrete_log.py | MattJDavidson/aoc2021 | 1c26697da55e58408f36525639d201303f808b1b | [
"Apache-2.0"
] | 288 | 2018-10-29T11:55:57.000Z | 2022-03-20T04:37:27.000Z | def discrete_log(a, b, mod):
"""
Returns smallest x > 0 s.t. pow(a, x, mod) == b or None if no such x exists.
Note: works even if a and mod are not coprime.
"""
n = int(mod**0.5) + 1
# tiny_step[x] = maximum j <= n s.t. b * a^j % mod = x
tiny_step, e = {}, 1
for j in range(1, n + 1):
... | 29.26087 | 80 | 0.454681 |
fd3b253adf92e534ce06a5619ca9a08e2fdfce41 | 1,234 | py | Python | coinnews/pipelines.py | jlparadox/coinnews | 09a99e67115eda36084219cbd77967e73b6017c7 | [
"Apache-2.0"
] | null | null | null | coinnews/pipelines.py | jlparadox/coinnews | 09a99e67115eda36084219cbd77967e73b6017c7 | [
"Apache-2.0"
] | null | null | null | coinnews/pipelines.py | jlparadox/coinnews | 09a99e67115eda36084219cbd77967e73b6017c7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymongo
from scrapy.conf import settings
from scrapy.exceptions import DropItem
from scrapy import log
class Coinnews... | 28.697674 | 68 | 0.657212 |
219ca34c168633e3585fa899e4bfe6606dc0f89c | 566 | py | Python | ontask/migrations/0017_auto_20180523_1611.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 33 | 2017-12-02T04:09:24.000Z | 2021-11-07T08:41:57.000Z | ontask/migrations/0017_auto_20180523_1611.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 189 | 2017-11-16T04:06:29.000Z | 2022-03-11T23:35:59.000Z | ontask/migrations/0017_auto_20180523_1611.py | pinheiroo27/ontask_b | 23fee8caf4e1c5694a710a77f3004ca5d9effeac | [
"MIT"
] | 30 | 2017-11-30T03:35:44.000Z | 2022-01-31T03:08:08.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.12 on 2018-05-23 06:41
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('ontask', '0016_auto_20180522_2146'),
]
operations = [
migrations.AlterModelOptions... | 23.583333 | 67 | 0.591873 |
2188bbcebceafaf01e068c75c5ac436615cf0a98 | 16,695 | py | Python | mmhuman3d/core/visualization/renderer/matplotlib3d_renderer.py | yl-1993/mmhuman3d | 61a7427b7882d5e5f5fe623272a5c455c3d3b009 | [
"Apache-2.0"
] | 472 | 2021-12-03T03:12:55.000Z | 2022-03-31T01:33:13.000Z | mmhuman3d/core/visualization/renderer/matplotlib3d_renderer.py | yl-1993/mmhuman3d | 61a7427b7882d5e5f5fe623272a5c455c3d3b009 | [
"Apache-2.0"
] | 127 | 2021-12-03T05:00:14.000Z | 2022-03-31T13:47:33.000Z | mmhuman3d/core/visualization/renderer/matplotlib3d_renderer.py | yl-1993/mmhuman3d | 61a7427b7882d5e5f5fe623272a5c455c3d3b009 | [
"Apache-2.0"
] | 37 | 2021-12-03T03:23:22.000Z | 2022-03-31T08:41:58.000Z | import io
import os
import shutil
from pathlib import Path
from typing import Iterable, List, Optional, Union
import cv2
import mmcv
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
from mpl_toolkits.mplot3d import Axes3D
from mmhuman3d.core.conventions.cameras.convert_conve... | 40.132212 | 79 | 0.533753 |
651a2f915529dc97f2d817be8a67a64930f8fe77 | 646 | py | Python | ComRISB/pygtool/gw_gutz/data2h5.py | comscope/comsuite | d51c43cad0d15dc3b4d1f45e7df777cdddaa9d6c | [
"BSD-3-Clause"
] | 18 | 2019-06-15T18:08:21.000Z | 2022-01-30T05:01:29.000Z | ComRISB/pygtool/gw_gutz/data2h5.py | comscope/Comsuite | b80ca9f34c519757d337487c489fb655f7598cc2 | [
"BSD-3-Clause"
] | null | null | null | ComRISB/pygtool/gw_gutz/data2h5.py | comscope/Comsuite | b80ca9f34c519757d337487c489fb655f7598cc2 | [
"BSD-3-Clause"
] | 11 | 2019-06-05T02:57:55.000Z | 2021-12-29T02:54:25.000Z | import h5py
import numpy as np
evals = np.loadtxt('eigenvalues.dat')
evals = evals.T
num = 22
numk = evals.shape[1]/num
with h5py.File('data.h5', 'w') as f:
for ik, ibase in enumerate(range(0, evals.shape[1], num)):
f['/evals/ik_{}'.format(ik)] = evals[2,ibase:ibase+num]
for ik in range(numk):
... | 28.086957 | 63 | 0.568111 |
ee7329fa3f2f719ec8b8fbb8ec8405f56b34b1a9 | 12,951 | py | Python | bookstore/bookstore_web/routes.py | stillimproving/e-bookstore | 48de381b2d805a6bd8cc4c912234e193483825ae | [
"MIT"
] | null | null | null | bookstore/bookstore_web/routes.py | stillimproving/e-bookstore | 48de381b2d805a6bd8cc4c912234e193483825ae | [
"MIT"
] | null | null | null | bookstore/bookstore_web/routes.py | stillimproving/e-bookstore | 48de381b2d805a6bd8cc4c912234e193483825ae | [
"MIT"
] | null | null | null | from flask import render_template, flash, redirect, url_for, request
from flask_login import current_user, login_user, logout_user, login_required
from werkzeug.datastructures import MultiDict
from bookstore.models import BooksDB, BookSearchCategory, OrderDB
from bookstore.models import CustomersDB, Customer
from book... | 39.726994 | 119 | 0.644429 |
caaace50ce5ac2264cbd572cfb6171cdb44ca840 | 2,920 | py | Python | pydeepspeech/wav_transcriber.py | Soebb/pydeepspeech | 968ce5b17c8904902fe5e83cf412c434e793c3fc | [
"MIT"
] | null | null | null | pydeepspeech/wav_transcriber.py | Soebb/pydeepspeech | 968ce5b17c8904902fe5e83cf412c434e793c3fc | [
"MIT"
] | null | null | null | pydeepspeech/wav_transcriber.py | Soebb/pydeepspeech | 968ce5b17c8904902fe5e83cf412c434e793c3fc | [
"MIT"
] | null | null | null | # pylint: skip-file
import glob
import logging
from timeit import default_timer as timer
import webrtcvad # type: ignore
from deepspeech import Model # type: ignore
import pydeepspeech.wav_split as wav_split
"""
Load the pre-trained model into the memory
@param models: Output Grapgh Protocol Buffer file
@param sc... | 26.306306 | 74 | 0.708904 |
63e907d23c6449656226369f36631c2d61a23326 | 179 | py | Python | irelia/__init__.py | bgraver/Irelia | d1785fac7a3dadfa3af523f0637f5a838f830408 | [
"MIT"
] | null | null | null | irelia/__init__.py | bgraver/Irelia | d1785fac7a3dadfa3af523f0637f5a838f830408 | [
"MIT"
] | null | null | null | irelia/__init__.py | bgraver/Irelia | d1785fac7a3dadfa3af523f0637f5a838f830408 | [
"MIT"
] | null | null | null | from irelia.esports_lib import Lolesports
headers = {'x-api-key': '0TvQnueqKa5mxJntVWt0w4LpLfEkrV1Ta8rQBb9Z'}
params = {"hl": "en-US"}
s11_start_date = "2021-01-01"
| 17.9 | 68 | 0.698324 |
693a6294de173541f5b91fd437fd0ae3c6046fa8 | 2,104 | py | Python | Python/phonenumbers/data/region_JM.py | skykisl/uberbruns2 | 26933efce04dba700d93cc75c7b74e069fb02d26 | [
"Unlicense"
] | 5 | 2015-04-27T20:10:56.000Z | 2018-06-14T18:19:09.000Z | python/phonenumbers/data/region_JM.py | vemel/python-phonenumbers | 595c322bf12106a3b95e3f202e948a7c6b6c15b8 | [
"Apache-2.0"
] | 2 | 2017-06-08T16:11:13.000Z | 2018-05-07T11:50:13.000Z | python/phonenumbers/data/region_JM.py | vemel/python-phonenumbers | 595c322bf12106a3b95e3f202e948a7c6b6c15b8 | [
"Apache-2.0"
] | 6 | 2015-02-19T11:11:04.000Z | 2022-03-15T19:38:31.000Z | """Auto-generated file, do not edit by hand. JM metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_JM = PhoneMetadata(id='JM', country_code=1, international_prefix='011',
general_desc=PhoneNumberDesc(national_number_pattern='[589]\\d{9}', possible_number_pattern='\\... | 100.190476 | 318 | 0.72576 |
3aa467a38e2b50e3c1a5d1fccaf89dba7d212b61 | 7,906 | py | Python | tests/test_sampling.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | 16 | 2021-02-18T00:04:54.000Z | 2021-09-01T03:25:45.000Z | tests/test_sampling.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | 59 | 2021-03-09T11:05:37.000Z | 2022-03-30T14:21:14.000Z | tests/test_sampling.py | Rodrigo-Tenorio/nessai | 2b4175da61b3a7250d1154a126ad93481836df0d | [
"MIT"
] | 1 | 2022-03-25T12:28:16.000Z | 2022-03-25T12:28:16.000Z | # -*- coding: utf-8 -*-
"""
Integration tests for running the sampler with different configurations.
"""
import os
import torch
import pytest
import numpy as np
from nessai.flowsampler import FlowSampler
from nessai.livepoint import numpy_array_to_live_points
from nessai.model import Model
torch.set_num_threads(1)
... | 35.294643 | 79 | 0.650519 |
396358b87f03f8cf892084e2ec39f506635d7fdf | 46 | py | Python | Lib/pylib/__init__.py | cjroehrig/crispyControllers | 6a56f7a61d66068824f4fd4b3c46d5b95585439d | [
"BSD-2-Clause"
] | null | null | null | Lib/pylib/__init__.py | cjroehrig/crispyControllers | 6a56f7a61d66068824f4fd4b3c46d5b95585439d | [
"BSD-2-Clause"
] | null | null | null | Lib/pylib/__init__.py | cjroehrig/crispyControllers | 6a56f7a61d66068824f4fd4b3c46d5b95585439d | [
"BSD-2-Clause"
] | null | null | null | # This is required to be considered a module.
| 23 | 45 | 0.76087 |
7511f977d68d8db864d7b5e67e9faaaf3a606c1f | 2,128 | py | Python | tests/integration/player_test.py | egret85/echovr-api | e135f25fb5b188e2931133d04c47c5e66e83a6c5 | [
"MIT"
] | 7 | 2018-11-02T18:12:18.000Z | 2021-03-08T10:47:59.000Z | tests/integration/player_test.py | egret85/echovr-api | e135f25fb5b188e2931133d04c47c5e66e83a6c5 | [
"MIT"
] | null | null | null | tests/integration/player_test.py | egret85/echovr-api | e135f25fb5b188e2931133d04c47c5e66e83a6c5 | [
"MIT"
] | 4 | 2018-11-02T18:12:08.000Z | 2020-06-19T19:42:39.000Z | import pytest
@pytest.fixture
def player(standard_public_match_gamestate):
return standard_public_match_gamestate.teams[0].players[0]
def test_name(player):
assert player.name == "Bob"
def test_playerid(player):
assert player.playerid == 0
def test_userid(player):
assert player.userid == 48140547923... | 25.95122 | 62 | 0.703947 |
8442560c7a88c45d382a3a96bac67b0654db0e4c | 574 | py | Python | balanced-binary-tree/balanced-binary-tree.py | rams1996/Trees | b7d6a92ed76a9e4d01bfe7f85debb7ca2b350ac9 | [
"MIT"
] | null | null | null | balanced-binary-tree/balanced-binary-tree.py | rams1996/Trees | b7d6a92ed76a9e4d01bfe7f85debb7ca2b350ac9 | [
"MIT"
] | null | null | null | balanced-binary-tree/balanced-binary-tree.py | rams1996/Trees | b7d6a92ed76a9e4d01bfe7f85debb7ca2b350ac9 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def isBalanced(self, root: TreeNode) -> bool:
def dfs(root):
if not root:
return 0
... | 23.916667 | 49 | 0.447735 |
3a1e9108a8cd4899977745d0dda89fcc78f83181 | 2,923 | py | Python | e2e_tests/tests/fixtures/pytorch_lightning_amp/mnist.py | gh-determined-ai/determined | 9a1ab33a3a356b69681b3351629fef4ab98ddb56 | [
"Apache-2.0"
] | 1,729 | 2020-04-27T17:36:40.000Z | 2022-03-31T05:48:39.000Z | e2e_tests/tests/fixtures/pytorch_lightning_amp/mnist.py | ChrisW09/determined | 5c37bfe9cfcc69174ba29a3f1a115c3e9e3632e0 | [
"Apache-2.0"
] | 1,940 | 2020-04-27T17:34:14.000Z | 2022-03-31T23:02:28.000Z | e2e_tests/tests/fixtures/pytorch_lightning_amp/mnist.py | ChrisW09/determined | 5c37bfe9cfcc69174ba29a3f1a115c3e9e3632e0 | [
"Apache-2.0"
] | 214 | 2020-04-27T19:57:28.000Z | 2022-03-29T08:17:16.000Z | # The class LitMNIST is modified from the Pytorch Lightning example:
# https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/
# blob/master/notebooks/01-mnist-hello-world.ipynb#scrollTo=4DNItffri95Q
#
# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "... | 33.215909 | 112 | 0.661991 |
51afa0cb1a58f33ba5147af912a3f3d17ed2f071 | 3,607 | py | Python | test/functional/wallet_keypool.py | dyennet/bitcoin | be992701b018f256db6d64786624be4cb60d8975 | [
"MIT"
] | 4,424 | 2015-10-19T19:04:02.000Z | 2022-03-21T12:11:29.000Z | test/functional/wallet_keypool.py | dyennet/bitcoin | be992701b018f256db6d64786624be4cb60d8975 | [
"MIT"
] | 316 | 2015-12-05T21:55:16.000Z | 2022-03-05T12:28:43.000Z | test/functional/wallet_keypool.py | dyennet/bitcoin | be992701b018f256db6d64786624be4cb60d8975 | [
"MIT"
] | 208 | 2016-06-17T23:47:57.000Z | 2022-03-16T09:11:26.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test the wallet keypool and interaction with wallet encryption/locking."""
import time
from test_fram... | 40.077778 | 119 | 0.669809 |
f0c6d060b50b62b29ffbfef3dc2d7bad7f920914 | 15,251 | py | Python | sdk/python/pulumi_azure_nextgen/insights/latest/component.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/insights/latest/component.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/insights/latest/component.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 45.255193 | 321 | 0.657531 |
4eca88737c0fc9eaa6620fd1195118ca54d793cf | 17,625 | py | Python | fsspec/implementations/http.py | ysgit/filesystem_spec | f820f46b29f20d7c649509a4995f9cb8b484bbc4 | [
"BSD-3-Clause"
] | null | null | null | fsspec/implementations/http.py | ysgit/filesystem_spec | f820f46b29f20d7c649509a4995f9cb8b484bbc4 | [
"BSD-3-Clause"
] | null | null | null | fsspec/implementations/http.py | ysgit/filesystem_spec | f820f46b29f20d7c649509a4995f9cb8b484bbc4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function, division, absolute_import
import aiohttp
import asyncio
import logging
import re
import requests
import weakref
from urllib.parse import urlparse
from fsspec.spec import AbstractBufferedFile
from fsspec.utils import tokenize, DEFAULT_BLOCK_SIZE
from fsspec.asyn import sync_wrappe... | 34.356725 | 87 | 0.551149 |
1f3fff5e89cf44374706ee8514bef430683a2a5e | 15,408 | py | Python | test/TestUpdateEventName.py | indera/redi | c2a41ce6e5b613f75eaa8e6426ff948e0bfab349 | [
"BSD-3-Clause"
] | null | null | null | test/TestUpdateEventName.py | indera/redi | c2a41ce6e5b613f75eaa8e6426ff948e0bfab349 | [
"BSD-3-Clause"
] | null | null | null | test/TestUpdateEventName.py | indera/redi | c2a41ce6e5b613f75eaa8e6426ff948e0bfab349 | [
"BSD-3-Clause"
] | null | null | null | import unittest
from lxml import etree
import os
from redi import redi
file_dir = os.path.dirname(os.path.realpath(__file__))
goal_dir = os.path.join(file_dir, "../")
proj_root = os.path.abspath(goal_dir)+'/'
DEFAULT_DATA_DIRECTORY = os.getcwd()
class TestUpdateEventName(unittest.TestCase):
def setUp(self):
... | 53.314879 | 250 | 0.716446 |
f9c59590c3febb4fec99628bf4a99fa996524c9c | 1,490 | py | Python | allauth/socialaccount/providers/stackexchange/tests.py | Stikerz/Film-Guide | 5c0a7a6f8c530e72bef42fcbac6a52665834c4e0 | [
"BSD-3-Clause"
] | null | null | null | allauth/socialaccount/providers/stackexchange/tests.py | Stikerz/Film-Guide | 5c0a7a6f8c530e72bef42fcbac6a52665834c4e0 | [
"BSD-3-Clause"
] | null | null | null | allauth/socialaccount/providers/stackexchange/tests.py | Stikerz/Film-Guide | 5c0a7a6f8c530e72bef42fcbac6a52665834c4e0 | [
"BSD-3-Clause"
] | 1 | 2022-02-01T17:19:28.000Z | 2022-02-01T17:19:28.000Z | from allauth.socialaccount.tests import OAuth2TestsMixin
from allauth.tests import MockedResponse, TestCase
from .provider import StackExchangeProvider
class StackExchangeTests(OAuth2TestsMixin, TestCase):
provider_id = StackExchangeProvider.id
def get_mocked_response(self):
return MockedResponse(20... | 35.47619 | 117 | 0.518121 |
b2079628e10327e8281e31f83133d20fe29879ae | 203 | py | Python | XSS/lib/EstableSession.py | Vishalcc1/XSS | 0c61c680b1c00c1ded7e803b8c3966d16e6b7f1f | [
"MIT"
] | null | null | null | XSS/lib/EstableSession.py | Vishalcc1/XSS | 0c61c680b1c00c1ded7e803b8c3966d16e6b7f1f | [
"MIT"
] | null | null | null | XSS/lib/EstableSession.py | Vishalcc1/XSS | 0c61c680b1c00c1ded7e803b8c3966d16e6b7f1f | [
"MIT"
] | null | null | null | import requests
import json
def estableSession(args):
req=requests.Session()
req.proxies=args.proxy
req.headers = args.header
req.cookies.update(json.loads(args.cookie))
return req
| 18.454545 | 47 | 0.719212 |
8c926e7bd8aee2adc037a5687cc150fb7b28d525 | 6,072 | py | Python | python_modules/libraries/dagster-gcp/dagster_gcp/bigquery/solids.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-07-03T09:05:58.000Z | 2021-07-03T09:05:58.000Z | python_modules/libraries/dagster-gcp/dagster_gcp/bigquery/solids.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-06-21T18:30:02.000Z | 2021-06-25T21:18:39.000Z | python_modules/libraries/dagster-gcp/dagster_gcp/bigquery/solids.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-11-30T21:40:46.000Z | 2021-11-30T21:40:46.000Z | import hashlib
from dagster import InputDefinition, List, Nothing, OutputDefinition, check, solid
from dagster_pandas import DataFrame
from google.cloud.bigquery.job import LoadJobConfig, QueryJobConfig
from google.cloud.bigquery.table import EncryptionConfiguration, TimePartitioning
from .configs import (
define... | 34.305085 | 100 | 0.717556 |
8037ab5d876346414b5e6e46b3c19e6a65d60a7f | 2,794 | py | Python | tests/ping.py | joaoantoniopereira/Boardfarm | fa00a2628c5924ca13e05c6ba4990627038b9f1f | [
"BSD-3-Clause-Clear"
] | 74 | 2015-08-25T22:50:38.000Z | 2022-01-04T16:32:00.000Z | tests/ping.py | joaoantoniopereira/Boardfarm | fa00a2628c5924ca13e05c6ba4990627038b9f1f | [
"BSD-3-Clause-Clear"
] | 72 | 2015-10-12T17:42:47.000Z | 2019-01-19T14:11:18.000Z | tests/ping.py | joaoantoniopereira/Boardfarm | fa00a2628c5924ca13e05c6ba4990627038b9f1f | [
"BSD-3-Clause-Clear"
] | 50 | 2015-08-25T22:45:44.000Z | 2022-01-05T09:47:04.000Z | # Copyright (c) 2015
#
# All rights reserved.
#
# This file is distributed under the Clear BSD license.
# The full text can be found in LICENSE in the root directory.
import rootfs_boot
import lib
from devices import board, wan, lan, wlan, prompt
class RouterPingWanDev(rootfs_boot.RootFSBootTest):
'''Router can p... | 34.493827 | 71 | 0.625626 |
b16f82b2a06030af06945d2e2540905e65929836 | 10,500 | py | Python | neutron/cmd/netns_cleanup.py | ilay09/neutron | b7f9803c88b17a6ebd40fd44d15d4336bea7b394 | [
"Apache-2.0"
] | null | null | null | neutron/cmd/netns_cleanup.py | ilay09/neutron | b7f9803c88b17a6ebd40fd44d15d4336bea7b394 | [
"Apache-2.0"
] | null | null | null | neutron/cmd/netns_cleanup.py | ilay09/neutron | b7f9803c88b17a6ebd40fd44d15d4336bea7b394 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012 OpenStack Foundation.
# 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... | 35.836177 | 79 | 0.685238 |
70316535e1170ed5b9e53a00ad10b47ced870587 | 4,749 | py | Python | opsgenie_swagger/models/list_team_routing_rules_response.py | Logicworks/opsgenie-python-sdk | 244c4c40ddcc25e70df5ba4425ab8d7c8da59c18 | [
"Apache-2.0"
] | null | null | null | opsgenie_swagger/models/list_team_routing_rules_response.py | Logicworks/opsgenie-python-sdk | 244c4c40ddcc25e70df5ba4425ab8d7c8da59c18 | [
"Apache-2.0"
] | null | null | null | opsgenie_swagger/models/list_team_routing_rules_response.py | Logicworks/opsgenie-python-sdk | 244c4c40ddcc25e70df5ba4425ab8d7c8da59c18 | [
"Apache-2.0"
] | 1 | 2020-11-07T11:27:13.000Z | 2020-11-07T11:27:13.000Z | # coding: utf-8
"""
OpsGenie REST API
OpsGenie OpenAPI Specification # noqa: E501
OpenAPI spec version: 2.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from opsgenie_swagger.models.base_response import BaseResponse ... | 27.935294 | 96 | 0.587703 |
c8124e7b34a02f9990e22ab9aa26bb00c963f7f6 | 1,918 | py | Python | library/examples.py | summerswallow/open-rocketry-tools | 981c3f0cd16aac142e8bc9e57fc86151ce864a7c | [
"MIT"
] | null | null | null | library/examples.py | summerswallow/open-rocketry-tools | 981c3f0cd16aac142e8bc9e57fc86151ce864a7c | [
"MIT"
] | null | null | null | library/examples.py | summerswallow/open-rocketry-tools | 981c3f0cd16aac142e8bc9e57fc86151ce864a7c | [
"MIT"
] | null | null | null | from nosecone.standard_nosecones import *
from misc import utils
if __name__ == '__main__':
from bodytubes.semroc import bt20
from bodytubes.semroc import bt5
array = utils.array(4, MM2IN, [
InvertedTangentOgiveNoseCone(0.75, bodytube=bt5, thickness=1 / 16.0, base_height=0.25, blunt_radius=0.125,
... | 63.933333 | 119 | 0.622523 |
5161bee6a1215cb338dff9f0faaa1ea982c03401 | 2,849 | py | Python | InvenTree/InvenTree/version.py | TheCrazyMaffin/InvenTree | 2686f61a4ac279386a83049745339345f1ac4cf7 | [
"MIT"
] | null | null | null | InvenTree/InvenTree/version.py | TheCrazyMaffin/InvenTree | 2686f61a4ac279386a83049745339345f1ac4cf7 | [
"MIT"
] | null | null | null | InvenTree/InvenTree/version.py | TheCrazyMaffin/InvenTree | 2686f61a4ac279386a83049745339345f1ac4cf7 | [
"MIT"
] | null | null | null | """ Version information for InvenTree.
Provides information on the current InvenTree version
"""
import subprocess
import django
import re
import common.models
INVENTREE_SW_VERSION = "0.2.4 pre"
"""
Increment thi API version number whenever there is a significant change to the API that any clients need to know abou... | 27.394231 | 118 | 0.704809 |
0fbd36b7ac7bbe511e77682cbb05895909da4867 | 15,005 | py | Python | ds4se/infoxplainer/prediction/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 5 | 2020-12-08T00:38:24.000Z | 2021-11-16T20:00:59.000Z | ds4se/infoxplainer/prediction/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 110 | 2020-09-26T18:36:35.000Z | 2022-03-12T00:54:35.000Z | ds4se/infoxplainer/prediction/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 3 | 2020-12-09T19:23:10.000Z | 2021-02-16T12:54:16.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/4.6_infoxplainer.prediction.eval.traceability.ipynb (unless otherwise specified).
__all__ = ['SupervisedVectorEvaluation', 'ManifoldEntropy']
# Cell
from prg import prg
# Cell
import ds4se as ds
from ....mining.ir import VectorizationType
from ....mining.ir import Simi... | 41.109589 | 129 | 0.615395 |
b2fb4dc8d8761a0136c832e5088647d1b22de151 | 6,906 | py | Python | cubert/cubert_tokenizer.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 1 | 2021-01-08T03:21:19.000Z | 2021-01-08T03:21:19.000Z | cubert/cubert_tokenizer.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | null | null | null | cubert/cubert_tokenizer.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 34.358209 | 80 | 0.716623 |
c52e6bc68c89d4d33801a1b35e68adb1ba9ddfb1 | 3,051 | py | Python | 03_pyPRMS_prototype/Update HRUs in Parameter File.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | 03_pyPRMS_prototype/Update HRUs in Parameter File.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | 03_pyPRMS_prototype/Update HRUs in Parameter File.py | pnorton-usgs/notebooks | 17a38ecd3f3c052b9bd785c2e53e16a9082d1e71 | [
"MIT"
] | null | null | null | # ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.13.7
# kernelspec:
# display_name: Python [conda env:prms_py3]
# language: python
# name: conda-env-prms_p... | 25.638655 | 231 | 0.69846 |
73a51b728fb9070348b2861d5ca1bfdadfa179de | 4,651 | py | Python | pithy/format.py | gwk/glossy | 6976ca4fd1efc09d9cd670b1fe37817c05b4b529 | [
"CC0-1.0"
] | 7 | 2019-05-04T00:51:38.000Z | 2021-12-10T15:36:31.000Z | pithy/format.py | gwk/glossy | 6976ca4fd1efc09d9cd670b1fe37817c05b4b529 | [
"CC0-1.0"
] | null | null | null | pithy/format.py | gwk/glossy | 6976ca4fd1efc09d9cd670b1fe37817c05b4b529 | [
"CC0-1.0"
] | 1 | 2016-07-30T22:38:08.000Z | 2016-07-30T22:38:08.000Z | # Dedicated to the public domain under CC0: https://creativecommons.org/publicdomain/zero/1.0/.
'Parse Python format strings and generate corresponding regular expressions.'
import re
from typing import Any, Iterable, Match, Pattern, Tuple
from .string import line_col_1
class FormatError(Exception): pass
fmt_re ... | 31.425676 | 109 | 0.616857 |
34292fdad1a5a46019e3268272ab9124bcc2cc9e | 10,295 | py | Python | datalad_hirni/tests/test_dicom2spec.py | loj/datalad-hirni | e03c1cbcbeb5e62cdc7c4537d6d5d9b93d5b139e | [
"MIT"
] | null | null | null | datalad_hirni/tests/test_dicom2spec.py | loj/datalad-hirni | e03c1cbcbeb5e62cdc7c4537d6d5d9b93d5b139e | [
"MIT"
] | null | null | null | datalad_hirni/tests/test_dicom2spec.py | loj/datalad-hirni | e03c1cbcbeb5e62cdc7c4537d6d5d9b93d5b139e | [
"MIT"
] | null | null | null | # emacs: -*- mode: python-mode; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# -*- coding: utf-8 -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and... | 37.98893 | 116 | 0.631277 |
6a6360571b2b811a1144843cfad3ed70d96f35ca | 1,680 | py | Python | setup.py | szabolcsdombi/vmath | 7deb6dfdf1bde304cca7016e2be51ad1947b4a78 | [
"MIT"
] | null | null | null | setup.py | szabolcsdombi/vmath | 7deb6dfdf1bde304cca7016e2be51ad1947b4a78 | [
"MIT"
] | null | null | null | setup.py | szabolcsdombi/vmath | 7deb6dfdf1bde304cca7016e2be51ad1947b4a78 | [
"MIT"
] | null | null | null | import sys
from setuptools import Extension, setup
extra_compile_args = []
if sys.platform.startswith('linux'):
extra_compile_args = ['-fpermissive', '-Wno-write-strings', '-Wno-narrowing']
if sys.platform.startswith('darwin'):
extra_compile_args = ['-std=c++11', '-Wno-writable-strings', '-Wno-c++11-narrowi... | 29.473684 | 88 | 0.633929 |
f38ed511088b59d32fe3216697b876b715be8004 | 41,492 | py | Python | tensorforce/agents/tensorforce.py | vishalbelsare/tensorforce | 085a62bd37e0fdfd05691db29edeb2e1714ffbda | [
"Apache-2.0"
] | 1,132 | 2019-01-03T14:41:04.000Z | 2022-03-29T07:44:50.000Z | tensorforce/agents/tensorforce.py | vishalbelsare/tensorforce | 085a62bd37e0fdfd05691db29edeb2e1714ffbda | [
"Apache-2.0"
] | 353 | 2019-01-02T19:46:10.000Z | 2022-03-30T10:38:45.000Z | tensorforce/agents/tensorforce.py | vishalbelsare/tensorforce | 085a62bd37e0fdfd05691db29edeb2e1714ffbda | [
"Apache-2.0"
] | 219 | 2019-01-03T16:55:39.000Z | 2022-03-14T00:27:05.000Z | # Copyright 2020 Tensorforce Team. 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 applicable la... | 56.146143 | 146 | 0.603659 |
d2960bb91ab2d1be05009ffa1650de8c0dd97a56 | 591 | py | Python | ENV/bin/createfontdatachunk.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | ENV/bin/createfontdatachunk.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | ENV/bin/createfontdatachunk.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | #!/home/ubuntu/workspace/meatme-oscar/ENV/bin/python
from __future__ import print_function
import base64
import os
import sys
if __name__ == "__main__":
# create font data chunk for embedding
font = "Tests/images/courB08"
print(" f._load_pilfont_data(")
print(" # %s" % os.path.basename(font)... | 31.105263 | 63 | 0.637902 |
457fb74f1245bc4877b66445585b4d3b536d6395 | 388 | py | Python | LeetCode/NumberOfGoodPairs.py | SelvorWhim/competitive | b9daaf21920d6f7669dc0c525e903949f4e33b62 | [
"Unlicense"
] | null | null | null | LeetCode/NumberOfGoodPairs.py | SelvorWhim/competitive | b9daaf21920d6f7669dc0c525e903949f4e33b62 | [
"Unlicense"
] | null | null | null | LeetCode/NumberOfGoodPairs.py | SelvorWhim/competitive | b9daaf21920d6f7669dc0c525e903949f4e33b62 | [
"Unlicense"
] | null | null | null | # don't need to show the pairs, so the order doesn't matter
# just need to find how many times each number appears and count the pairs
from collections import Counter
class Solution:
def numIdenticalPairs(self, nums: List[int]) -> int:
counts = Counter(nums)
return sum(count * (count - 1) // 2 for... | 38.8 | 114 | 0.688144 |
34edd7696ad72e3b7d649f5b255116229335dac7 | 118 | py | Python | duckspush/templates/datasources.py | novapost/duckspush | baa9d609a650040c12a721a83d9f45369af90694 | [
"BSD-3-Clause"
] | null | null | null | duckspush/templates/datasources.py | novapost/duckspush | baa9d609a650040c12a721a83d9f45369af90694 | [
"BSD-3-Clause"
] | null | null | null | duckspush/templates/datasources.py | novapost/duckspush | baa9d609a650040c12a721a83d9f45369af90694 | [
"BSD-3-Clause"
] | null | null | null | #import random
## Collector example function
# def collector_test():
# return dict(value=random.randint(1,1000))
| 19.666667 | 47 | 0.728814 |
77efb314c48149c1e0216c8e444dc767dba7adf8 | 2,206 | py | Python | tests/conftest.py | riddhi150390/splink | eae96a757877cf197608be21b437356732faee6e | [
"MIT"
] | 176 | 2020-03-16T15:19:39.000Z | 2022-03-30T06:38:29.000Z | tests/conftest.py | riddhi150390/splink | eae96a757877cf197608be21b437356732faee6e | [
"MIT"
] | 194 | 2020-03-01T21:32:26.000Z | 2022-03-30T14:58:38.000Z | tests/conftest.py | riddhi150390/splink | eae96a757877cf197608be21b437356732faee6e | [
"MIT"
] | 25 | 2020-03-07T00:09:22.000Z | 2022-03-11T16:28:06.000Z | import pytest
import logging
logger = logging.getLogger(__name__)
@pytest.fixture(scope="module")
def spark():
try:
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
from pyspark.sql import types
conf = SparkConf()
conf.set("spark.jars.i... | 31.070423 | 86 | 0.584769 |
5aa67b18726aa3b5bd632607cec1f8dafea0e8d8 | 507 | py | Python | cache_publications.py | igormcoelho/igormcoelho.github.io | 2fe1e3d54f9ffec04fa6cd2f90c7860400a8ecf8 | [
"MIT"
] | 2 | 2020-07-12T01:21:20.000Z | 2021-06-19T04:05:59.000Z | cache_publications.py | igormcoelho/igormcoelho.github.io | 2fe1e3d54f9ffec04fa6cd2f90c7860400a8ecf8 | [
"MIT"
] | 3 | 2021-09-28T04:45:57.000Z | 2022-02-26T09:16:56.000Z | cache_publications.py | igormcoelho/igormcoelho.github.io | 2fe1e3d54f9ffec04fa6cd2f90c7860400a8ecf8 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
papers = BeautifulSoup(open("_site/generate_selected_papers.html").read())
pub_html = papers.body.article.find(id="pub_selected_papers").prettify()
f = open('_includes/selected_papers_cache.html', 'w')
f.write(pub_html)
f.close()
from bs4 import BeautifulSoup
papers = BeautifulSoup(open("... | 33.8 | 74 | 0.775148 |
b3b2c7cd86734b447130a542cb1d091ebbe0b51a | 383 | py | Python | code/backend/src/database/models/__init__.py | tobiasclaas/semantic-data-lake | 16fc25a74918c9ac4d95f14bf3c15af053cee53e | [
"MIT"
] | 1 | 2022-02-23T14:32:38.000Z | 2022-02-23T14:32:38.000Z | code/backend/src/database/models/__init__.py | tobiasclaas/semantic-data-lake | 16fc25a74918c9ac4d95f14bf3c15af053cee53e | [
"MIT"
] | null | null | null | code/backend/src/database/models/__init__.py | tobiasclaas/semantic-data-lake | 16fc25a74918c9ac4d95f14bf3c15af053cee53e | [
"MIT"
] | null | null | null | from .storage import (
BaseStorage, MongodbStorage, PostgresqlStorage, CsvStorage,
JsonStorage, XmlStorage
)
from .user import User
from .workspace import Workspace
from .ontology import Ontology
from .dataset import Dataset
from .metadata import Metadata
from .datamart import DatamartStatus, Datamart, Datamart... | 27.357143 | 63 | 0.81201 |
7b69ab522eb623e8117709c6ffb1efd8776ba8af | 813 | py | Python | netsuite/api/predicates.py | fernando-almeida/python-netsuite | da123b23d1af91767c9d10c2a1f60efabd855668 | [
"BSD-3-Clause"
] | 7 | 2018-02-09T19:22:56.000Z | 2021-01-24T04:05:02.000Z | netsuite/api/predicates.py | fernando-almeida/python-netsuite | da123b23d1af91767c9d10c2a1f60efabd855668 | [
"BSD-3-Clause"
] | null | null | null | netsuite/api/predicates.py | fernando-almeida/python-netsuite | da123b23d1af91767c9d10c2a1f60efabd855668 | [
"BSD-3-Clause"
] | 6 | 2020-07-28T12:43:10.000Z | 2021-06-10T00:17:36.000Z | """Predicates."""
class RecordTypeSelectorPredicate(object):
"""Check if a given record type should be selected."""
def __init__(self, record_types=None)
"""Constructor.
Args:
record_types: Types of records
"""
if not (isinstance(record_types, list)):
... | 26.225806 | 77 | 0.602706 |
c755540ef9420e4b6811c3cf3842a0bd8a907215 | 3,800 | py | Python | hsfs/numerov.py | aa-morgan/helium-stark-FS | 7617c0761398dc60b69bb01c533cfa405c2a3d82 | [
"BSD-3-Clause"
] | null | null | null | hsfs/numerov.py | aa-morgan/helium-stark-FS | 7617c0761398dc60b69bb01c533cfa405c2a3d82 | [
"BSD-3-Clause"
] | null | null | null | hsfs/numerov.py | aa-morgan/helium-stark-FS | 7617c0761398dc60b69bb01c533cfa405c2a3d82 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 26 13:08:34 2017
@author: Adam
"""
from math import ceil, log, exp
import numpy as np
from numba import jit
@jit
def wf(n, l, nmax, step=0.005, rmin=0.65):
""" Use the Numerov method to find the wavefunction for state n*, l, where
n* = n - delta.
nma... | 26.760563 | 82 | 0.485263 |
6a01980f27ee8bec8c897fe399fd4ada64d6ff03 | 668 | py | Python | Config.py | izzortsi/crypto-trading-ai-bot-basic | 38cb5bda778447d55b7854b5d2035e3da0f629b2 | [
"MIT"
] | 195 | 2021-01-08T12:46:28.000Z | 2022-03-27T19:29:08.000Z | Config.py | izzortsi/crypto-trading-ai-bot-basic | 38cb5bda778447d55b7854b5d2035e3da0f629b2 | [
"MIT"
] | 8 | 2021-02-04T05:19:40.000Z | 2021-10-10T20:32:55.000Z | Config.py | izzortsi/crypto-trading-ai-bot-basic | 38cb5bda778447d55b7854b5d2035e3da0f629b2 | [
"MIT"
] | 93 | 2021-01-08T12:46:30.000Z | 2022-03-13T20:59:12.000Z | DATASET_DIR = "datasets/"
COIN_PAIR = "BTC-USD"
GRANULARITY = 60 # Data every 1 minute
TRAINING_MONTHS = ["2018_06","2018_07","2018_08","2018_09","2018_10","2018_11","2018_12","2019_01",
"2019_02","2019_03","2019_04","2019_05","2019_06","2019_07","2019_08","2019_09",
"2019_10","20... | 41.75 | 99 | 0.663174 |
23e886badebb57d1b989b9e55b0eb786efc54585 | 4,497 | py | Python | utils.py | xavysp/pidinet_xsp | fbf23bdf2dde0f6204c61261eee32a05cd3b499d | [
"MIT"
] | null | null | null | utils.py | xavysp/pidinet_xsp | fbf23bdf2dde0f6204c61261eee32a05cd3b499d | [
"MIT"
] | null | null | null | utils.py | xavysp/pidinet_xsp | fbf23bdf2dde0f6204c61261eee32a05cd3b499d | [
"MIT"
] | null | null | null | """
Utility functions for training
Author: Zhuo Su, Wenzhe Liu
Date: Aug 22, 2020
"""
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
import os
import shutil
import math
import time
import random
from PIL import Imag... | 28.10625 | 83 | 0.594174 |
62a5c755fccbd76f16e2ae824000cf05bd5c75fe | 1,857 | py | Python | jelm/tests/test_io.py | endremborza/jelm | 6916bbd4ceb909ad3350c56d3a149bdb97671489 | [
"MIT"
] | null | null | null | jelm/tests/test_io.py | endremborza/jelm | 6916bbd4ceb909ad3350c56d3a149bdb97671489 | [
"MIT"
] | null | null | null | jelm/tests/test_io.py | endremborza/jelm | 6916bbd4ceb909ad3350c56d3a149bdb97671489 | [
"MIT"
] | null | null | null | import json
import os
import pytest
from jelm.core.jelm_class import Jelm
from jelm.core.io.input import reads_json, read_json
from jelm.tests.network_case_set_class import NetwokCaseTemplate
def test_json_reads():
test_dic = {"metadata": {"author": "me"}, "objects": []}
dump = json.dumps(test_dic)
e... | 19.755319 | 88 | 0.637588 |
8f51d7b60fbb6245bc75f1362989e315d9828b4d | 341 | py | Python | src/lesson_developer_tools/traceback_format_exception.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | 3 | 2018-08-14T09:33:52.000Z | 2022-03-21T12:31:58.000Z | src/lesson_developer_tools/traceback_format_exception.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | src/lesson_developer_tools/traceback_format_exception.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | import traceback
import sys
from pprint import pprint
from traceback_example import produce_exception
try:
produce_exception()
except Exception as err:
print('format_exception():')
exc_type, exc_value, exc_tb = sys.exc_info()
pprint(
traceback.format_exception(exc_type, exc_value, exc_tb),
... | 21.3125 | 64 | 0.721408 |
2327c73aa4f89a42a26301da272b83b597188b73 | 27 | py | Python | monitor/monitor_engine/tests.py | josamuna/codepo-backend | 3666527aebcc3bd22b45c359d1bc68abc85a9a47 | [
"MIT"
] | 7 | 2020-12-28T23:03:11.000Z | 2020-12-30T09:29:47.000Z | monitor/monitor_engine/tests.py | josamuna/codepo-backend | 3666527aebcc3bd22b45c359d1bc68abc85a9a47 | [
"MIT"
] | 23 | 2020-02-09T12:24:00.000Z | 2021-06-04T22:52:45.000Z | monitor/monitor_engine/tests.py | josamuna/codepo-backend | 3666527aebcc3bd22b45c359d1bc68abc85a9a47 | [
"MIT"
] | 2 | 2020-12-28T23:15:28.000Z | 2020-12-29T07:56:37.000Z | # Create your tests here.
| 13.5 | 26 | 0.703704 |
3b234210e8bd2bb5ae4f029569f7a8149654512c | 940 | py | Python | front-end-service/audio_consumer.py | Rukundo725/speech-to-text-data-collection | 61c3d4858febc81980c854b5112bb629191e45af | [
"MIT",
"Unlicense"
] | 3 | 2021-12-03T09:06:31.000Z | 2022-03-31T06:13:47.000Z | front-end-service/audio_consumer.py | Rukundo725/speech-to-text-data-collection | 61c3d4858febc81980c854b5112bb629191e45af | [
"MIT",
"Unlicense"
] | 16 | 2021-09-06T20:19:25.000Z | 2021-09-09T20:29:42.000Z | front-end-service/audio_consumer.py | Rukundo725/speech-to-text-data-collection | 61c3d4858febc81980c854b5112bb629191e45af | [
"MIT",
"Unlicense"
] | 4 | 2021-09-06T19:46:45.000Z | 2021-09-08T19:05:31.000Z | from kafka import KafkaConsumer, KafkaProducer
import os
import json
import uuid
from concurrent.futures import ThreadPoolExecutor
from scipy.io.wavfile import read, write
import pydub
import io
import boto3
s3 = boto3.resource('s3')
if __name__ == "__main__":
TOPIC_NAME = "audio"
consumer = KafkaConsumer(TOPIC_NA... | 32.413793 | 142 | 0.730851 |
b913385f26700b04dd5f9a4018aa9a7732898bac | 1,082 | py | Python | libdata/chexpert_index/split_trainset.py | google-research/understanding-transfer-learning | 0e4df444f342784514d91028d0de332103343a94 | [
"Apache-2.0"
] | 35 | 2020-11-10T18:50:20.000Z | 2022-01-06T05:37:56.000Z | libdata/chexpert_index/split_trainset.py | MLC-CV/transfer-learning-understanding | 0e4df444f342784514d91028d0de332103343a94 | [
"Apache-2.0"
] | null | null | null | libdata/chexpert_index/split_trainset.py | MLC-CV/transfer-learning-understanding | 0e4df444f342784514d91028d0de332103343a94 | [
"Apache-2.0"
] | 10 | 2020-11-17T01:22:07.000Z | 2022-03-10T21:48:35.000Z | #!/usr/bin/python
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 28.473684 | 74 | 0.715342 |
83d9b052365e6fa8d2da387d7762b65219856260 | 236 | py | Python | project/apps/hiking/views.py | skoczen/skoczen | 07d22029e7c9e21bc3322e26072471d01c059cc4 | [
"BSD-2-Clause"
] | null | null | null | project/apps/hiking/views.py | skoczen/skoczen | 07d22029e7c9e21bc3322e26072471d01c059cc4 | [
"BSD-2-Clause"
] | null | null | null | project/apps/hiking/views.py | skoczen/skoczen | 07d22029e7c9e21bc3322e26072471d01c059cc4 | [
"BSD-2-Clause"
] | null | null | null | from annoying.decorators import render_to
from hiking.models import Hike
@render_to("hiking/home.html")
def home(request):
hike = Hike.objects.order_by("-date")
if hike.count() > 0:
hike = hike[0]
return locals()
| 19.666667 | 41 | 0.677966 |
8d14dcb75889fff2ebe1fbe06c22d283584c81e7 | 2,581 | py | Python | saleor/core/templatetags/status.py | ProgrammingJoe/saleor | f89dbafe0b31c226e267b7a516a09dd5168e1911 | [
"BSD-3-Clause"
] | 2 | 2018-12-24T01:00:13.000Z | 2019-01-21T15:09:16.000Z | saleor/core/templatetags/status.py | ProgrammingJoe/saleor | f89dbafe0b31c226e267b7a516a09dd5168e1911 | [
"BSD-3-Clause"
] | 64 | 2019-02-11T17:02:05.000Z | 2021-06-25T15:16:57.000Z | saleor/core/templatetags/status.py | ProgrammingJoe/saleor | f89dbafe0b31c226e267b7a516a09dd5168e1911 | [
"BSD-3-Clause"
] | 2 | 2019-01-08T02:32:42.000Z | 2021-07-05T14:05:55.000Z | from django.template import Library
from payments import PaymentStatus
from ...order import OrderStatus
from ...product import ProductAvailabilityStatus, VariantAvailabilityStatus
from ...product.utils.availability import (
get_product_availability_status, get_variant_availability_status)
register = Library()
E... | 31.864198 | 75 | 0.748547 |
c68dafee2ba404b5fd38870662c409e1910966b3 | 16,912 | py | Python | molpal/models/nnmodels.py | jenna-fromer/molpal | a6320610d0c9ecd708f4a709110f272867eaa6cf | [
"MIT"
] | null | null | null | molpal/models/nnmodels.py | jenna-fromer/molpal | a6320610d0c9ecd708f4a709110f272867eaa6cf | [
"MIT"
] | null | null | null | molpal/models/nnmodels.py | jenna-fromer/molpal | a6320610d0c9ecd708f4a709110f272867eaa6cf | [
"MIT"
] | null | null | null | """This module contains Model implementations that utilize an NN model as their
underlying model"""
from functools import partial
import json
from pathlib import Path
from typing import Callable, Iterable, List, NoReturn, Optional, Sequence, Tuple, TypeVar
import numpy as np
from numpy import ndarray
from tqdm import ... | 29.058419 | 91 | 0.5965 |
f65ceb4e61c02d69cccbd2427328a854ad1544b7 | 359 | py | Python | BotUtils.py | cancinconntg/altermebot | 1e49d592e2977087719d59c50d7b6083bfe3522b | [
"Apache-2.0"
] | null | null | null | BotUtils.py | cancinconntg/altermebot | 1e49d592e2977087719d59c50d7b6083bfe3522b | [
"Apache-2.0"
] | null | null | null | BotUtils.py | cancinconntg/altermebot | 1e49d592e2977087719d59c50d7b6083bfe3522b | [
"Apache-2.0"
] | 1 | 2021-07-21T19:58:37.000Z | 2021-07-21T19:58:37.000Z | import re
ALIAS_MAX_LENGTH = 32
ALIAS_MIN_LENGTH = 2
ALIASES_MAX_COUNT = 10
ALIASING_ENABLED = 1
ALIASING_DISABLED = 0
HEALTH_SYSTEM_MESSAGING = 0
HEALTH_SYSTEM_MESSAGING_OK = 1
def escape_markdown(text):
"""Helper function to escape telegram markup symbols."""
escape_chars = '\*_`\['
return re.sub(r'... | 18.894737 | 60 | 0.715877 |
3f47439f089d388a8d8baa08f3bb8831434aacf7 | 1,620 | py | Python | autonormalize/examples/script.py | j-grover/autonormalize | 764a652fadf1a7ec544c3447120d11aa29a11435 | [
"BSD-3-Clause"
] | 68 | 2019-08-14T22:01:23.000Z | 2021-03-10T21:33:36.000Z | autonormalize/examples/script.py | j-grover/autonormalize | 764a652fadf1a7ec544c3447120d11aa29a11435 | [
"BSD-3-Clause"
] | 26 | 2019-08-15T15:49:19.000Z | 2021-03-08T15:27:22.000Z | autonormalize/examples/script.py | j-grover/autonormalize | 764a652fadf1a7ec544c3447120d11aa29a11435 | [
"BSD-3-Clause"
] | 9 | 2019-10-18T00:49:23.000Z | 2021-04-14T05:42:50.000Z | import os
import time
import pandas as pd
import dfd
import user_interaction
path = os.getcwd()
df = pd.read_csv(os.path.join(path, 'example_3'))
df_3 = pd.read_csv(os.path.join(path, 'example_4'))
df_acc = pd.read_csv(os.path.join(path, 'accredation.csv'))
df_acc = df_acc.drop(columns=df_acc.columns[10:])
dic... | 22.816901 | 73 | 0.592593 |
4d7674ee23517cd008b6ad1efde19930e34f462e | 551 | py | Python | news/migrations/0004_auto_20191001_1620.py | alex-muliande/tribune | 86316dd4b20a76320b4b20b86266f89aac02a326 | [
"MIT"
] | 1 | 2019-10-18T13:45:42.000Z | 2019-10-18T13:45:42.000Z | news/migrations/0004_auto_20191001_1620.py | alex-muliande/tribune | 86316dd4b20a76320b4b20b86266f89aac02a326 | [
"MIT"
] | 5 | 2020-02-12T03:14:22.000Z | 2021-09-08T01:19:18.000Z | news/migrations/0004_auto_20191001_1620.py | alex-muliande/tribune | 86316dd4b20a76320b4b20b86266f89aac02a326 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2019-10-01 13:20
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('news', '0003_article'),
]
operations = [
migrations.RemoveField(
model_na... | 20.407407 | 46 | 0.553539 |
55fe41af298a24f05bd1b18085d0fd4b972d243f | 5,074 | py | Python | exasol_integration_test_docker_environment/lib/docker/images/create/docker_image_create_task.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 4 | 2020-06-25T20:47:31.000Z | 2021-09-10T15:22:51.000Z | exasol_integration_test_docker_environment/lib/docker/images/create/docker_image_create_task.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 113 | 2020-06-02T08:51:08.000Z | 2022-03-31T08:47:41.000Z | exasol_integration_test_docker_environment/lib/docker/images/create/docker_image_create_task.py | exasol/integration-test-docker-environment | 35850f67cd4cde010f03dd556d1a0f74b3291eb8 | [
"MIT"
] | 2 | 2020-05-19T10:57:47.000Z | 2020-06-22T13:32:20.000Z | import copy
import importlib
import luigi
from exasol_integration_test_docker_environment.lib.base.docker_base_task import DockerBaseTask
from exasol_integration_test_docker_environment.lib.base.json_pickle_parameter import JsonPickleParameter
from exasol_integration_test_docker_environment.lib.docker.images.create.d... | 53.410526 | 115 | 0.692156 |
d69fad201e1996a93a0c07ab89caabf4c7815228 | 7,056 | py | Python | train.py | l-willis/dc_tts | 086877481157bf876ab1f8ec7b4384fd607c2bb6 | [
"Apache-2.0"
] | 1,167 | 2018-01-28T00:52:42.000Z | 2022-03-24T11:59:34.000Z | train.py | l-willis/dc_tts | 086877481157bf876ab1f8ec7b4384fd607c2bb6 | [
"Apache-2.0"
] | 94 | 2018-01-28T00:53:43.000Z | 2022-03-27T06:34:16.000Z | train.py | l-willis/dc_tts | 086877481157bf876ab1f8ec7b4384fd607c2bb6 | [
"Apache-2.0"
] | 387 | 2018-01-28T07:09:47.000Z | 2022-02-21T17:23:08.000Z | # -*- coding: utf-8 -*-
# /usr/bin/python2
'''
By kyubyong park. kbpark.linguist@gmail.com.
https://www.github.com/kyubyong/dc_tts
'''
from __future__ import print_function
from tqdm import tqdm
from data_load import get_batch, load_vocab
from hyperparams import Hyperparams as hp
from modules import *
from networks... | 43.288344 | 151 | 0.558957 |
de252525d4255b589ecc3a4a59ea424990fa18a4 | 2,283 | py | Python | service/googlecloudstorage.py | sesam-community/xml-translator | b77f18ca8b85012df21843543e386945f0824265 | [
"Apache-2.0"
] | null | null | null | service/googlecloudstorage.py | sesam-community/xml-translator | b77f18ca8b85012df21843543e386945f0824265 | [
"Apache-2.0"
] | 2 | 2019-12-26T17:05:03.000Z | 2020-01-06T19:13:43.000Z | service/googlecloudstorage.py | sesam-community/xml-translator | b77f18ca8b85012df21843543e386945f0824265 | [
"Apache-2.0"
] | 1 | 2019-11-12T09:29:11.000Z | 2019-11-12T09:29:11.000Z | from google.cloud import storage
import logging
from flask import abort
# class for reading files from a Google cloud storage
class GoogleCloudStorage:
"""
initiate class, the class is taking the path to the file storing the credentials for the Google cloud storage,
the credentials itself, and the name ... | 37.42623 | 115 | 0.631187 |
e8b5fdb0b1b58a4479f483c85f1113b570315da4 | 2,458 | py | Python | src/puremvc/patterns/mediator.py | scVENUS/puremvc-python-standard-framework | 942bec84220fbc601e8064104199881271ad54c9 | [
"BSD-3-Clause"
] | 12 | 2015-01-26T03:48:00.000Z | 2021-12-13T06:08:28.000Z | src/puremvc/patterns/mediator.py | scVENUS/puremvc-python-standard-framework | 942bec84220fbc601e8064104199881271ad54c9 | [
"BSD-3-Clause"
] | 4 | 2016-01-25T15:48:35.000Z | 2018-02-19T17:02:20.000Z | src/puremvc/patterns/mediator.py | scVENUS/puremvc-python-standard-framework | 942bec84220fbc601e8064104199881271ad54c9 | [
"BSD-3-Clause"
] | 12 | 2015-09-02T03:49:52.000Z | 2021-01-24T15:23:59.000Z | """
PureMVC Python Port by Toby de Havilland <toby.de.havilland@puremvc.org>
PureMVC - Copyright(c) 2006-08 Futurescale, Inc., Some rights reserved.
Your reuse is governed by the Creative Commons Attribution 3.0 License
"""
import puremvc.interfaces
import puremvc.patterns.observer
import puremvc.patterns.facade
c... | 27.931818 | 111 | 0.633035 |
f5acc46b66e681a60e2ff23dd03f15da3b24a902 | 4,912 | py | Python | telestream_cloud_qc_sdk/telestream_cloud_qc/models/header_byte_count_test.py | pandastream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | null | null | null | telestream_cloud_qc_sdk/telestream_cloud_qc/models/header_byte_count_test.py | pandastream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | 2 | 2016-07-06T14:13:31.000Z | 2018-03-07T12:54:58.000Z | telestream_cloud_qc_sdk/telestream_cloud_qc/models/header_byte_count_test.py | Telestream/telestream-cloud-python-sdk | ce0ad503299661a0f622661359367173c06889fc | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Qc API
Qc API # noqa: E501
The version of the OpenAPI document: 3.0.0
Contact: cloudsupport@telestream.net
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from telestream_cloud_qc.configuration import Configuration
class... | 28.229885 | 123 | 0.599959 |
1d859ab31d8318df08dc7e7977cee8558ecd90a2 | 437 | py | Python | 2020/skel/main.py | MWers/advent-of-code | 15cc983d81e0154fd3926739c77b33dc1da911a4 | [
"MIT"
] | null | null | null | 2020/skel/main.py | MWers/advent-of-code | 15cc983d81e0154fd3926739c77b33dc1da911a4 | [
"MIT"
] | null | null | null | 2020/skel/main.py | MWers/advent-of-code | 15cc983d81e0154fd3926739c77b33dc1da911a4 | [
"MIT"
] | null | null | null | import argparse
from typing import List
parser = argparse.ArgumentParser(description='Run an Advent of Code program')
parser.add_argument(
'input_file', type=str, help='the file containing input data'
)
parser.add_argument(
'--debug', action='store_true', help='print debug messages'
)
args = parser.parse_args(... | 25.705882 | 77 | 0.732265 |
a2a5779fc48816f5c96f4082c4484d18b5807dc6 | 1,305 | py | Python | Algorithms/1092/spfa.py | M-Quadra/LeetCode-problems | 0cc100aa1e50b02df289f04fe2e0b97239eb9895 | [
"MIT"
] | null | null | null | Algorithms/1092/spfa.py | M-Quadra/LeetCode-problems | 0cc100aa1e50b02df289f04fe2e0b97239eb9895 | [
"MIT"
] | null | null | null | Algorithms/1092/spfa.py | M-Quadra/LeetCode-problems | 0cc100aa1e50b02df289f04fe2e0b97239eb9895 | [
"MIT"
] | null | null | null | from typing import List
from queue import Queue,PriorityQueue
class Solution:
def shortestCommonSupersequence(self, str1: str, str2: str) -> str:
opt = str1 + str2
lenDic = {(0, 0): 0}
q = Queue()
q.put(("", 0, 0))
while not q.empty():
now, i1, i2 = q.get()
... | 32.625 | 71 | 0.413793 |
401254f5d4ef3eb9a58793100c573fbdc8ac8e4e | 19,289 | py | Python | train.py | liv0vil/Computer-Vision-FixMatch | 7614cde1b4be1d5461e3354faacad33a01f1a9b2 | [
"MIT"
] | 503 | 2020-01-30T02:48:16.000Z | 2022-03-30T13:32:46.000Z | train.py | liv0vil/Computer-Vision-FixMatch | 7614cde1b4be1d5461e3354faacad33a01f1a9b2 | [
"MIT"
] | 48 | 2020-02-28T09:38:19.000Z | 2022-02-09T11:07:05.000Z | train.py | liv0vil/Computer-Vision-FixMatch | 7614cde1b4be1d5461e3354faacad33a01f1a9b2 | [
"MIT"
] | 130 | 2020-01-31T08:49:14.000Z | 2022-03-29T07:58:10.000Z | import argparse
import logging
import math
import os
import random
import shutil
import time
from collections import OrderedDict
import numpy as np
import torch
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.data import DataLoader, RandomSampl... | 39.046559 | 238 | 0.581938 |
7a1314852587354c517d97d413c6b60b2a6101e2 | 37,260 | py | Python | ARTDeco/main.py | davebx/ARTDeco | 1b08583a2e23015f6bc444919b2e10d5fb1bcf19 | [
"MIT"
] | 1 | 2022-02-02T04:03:45.000Z | 2022-02-02T04:03:45.000Z | ARTDeco/main.py | davebx/ARTDeco | 1b08583a2e23015f6bc444919b2e10d5fb1bcf19 | [
"MIT"
] | 8 | 2019-04-29T18:33:38.000Z | 2022-03-16T12:17:52.000Z | ARTDeco/main.py | davebx/ARTDeco | 1b08583a2e23015f6bc444919b2e10d5fb1bcf19 | [
"MIT"
] | 4 | 2019-04-26T21:44:51.000Z | 2022-03-10T15:32:20.000Z | '''
Main script for running ARTDeco. Contains code to run each of the modes.
'''
from .misc import ARTDecoDir,infer_experiments_group,output_inferred_format,summarize_bam_files,get_regions_exp
from .preprocess import parse_gtf,create_stranded_downstream_df,create_stranded_read_in_df,\
create_unstranded_downstream_d... | 50.351351 | 124 | 0.600134 |
de55d4438511c2128b11627b1d5374a495e0798b | 735 | py | Python | garagem/migrations/0001_initial.py | araujo88/minhaGaragem | 31fb16a686eef2caa26e194c03a0528e43867188 | [
"MIT"
] | null | null | null | garagem/migrations/0001_initial.py | araujo88/minhaGaragem | 31fb16a686eef2caa26e194c03a0528e43867188 | [
"MIT"
] | null | null | null | garagem/migrations/0001_initial.py | araujo88/minhaGaragem | 31fb16a686eef2caa26e194c03a0528e43867188 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-08-16 04:28
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Veiculo',
fields=[
('tipo', mod... | 28.269231 | 125 | 0.567347 |
078566f13ce531287701b07b35096a1713e3fe65 | 6,576 | py | Python | 3.3.2/gdal-utils/osgeo_utils/gdal_fillnodata.py | benjamintd/pygdal | 1cd86a248f944e2ab28a818c3648b7d7c065e252 | [
"MIT"
] | 1 | 2020-11-13T09:22:12.000Z | 2020-11-13T09:22:12.000Z | flusstools/osgeo_utils/gdal_fillnodata.py | Ecohydraulics/flusstools | ab356788846dee089af146e924822dfafd096828 | [
"BSD-3-Clause"
] | null | null | null | flusstools/osgeo_utils/gdal_fillnodata.py | Ecohydraulics/flusstools | ab356788846dee089af146e924822dfafd096828 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# ******************************************************************************
# $Id$
#
# Project: GDAL Python Interface
# Purpose: Application for filling nodata areas in a raster by interpolation
# Author: Frank Warmerdam, warmerdam@pobox.com
#
# **************************************... | 30.586047 | 95 | 0.517336 |
9abded428ecc595262538c22fb751686427a9593 | 512 | py | Python | requests/__version__.py | AbishiekJay/MyRequest | dd9d8d2f401b29e91deea9e36875d8660e773170 | [
"Apache-2.0"
] | null | null | null | requests/__version__.py | AbishiekJay/MyRequest | dd9d8d2f401b29e91deea9e36875d8660e773170 | [
"Apache-2.0"
] | null | null | null | requests/__version__.py | AbishiekJay/MyRequest | dd9d8d2f401b29e91deea9e36875d8660e773170 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# .-. .-. .-. . . .-. .-. .-. .-.
# |( |- |.| | | |- `-. | `-.
# ' ' `-' `-`.`-' `-' `-' ' `-'
__title__ = 'requests'
__description__ = 'Python HTTP for Humans.'
__url__ = 'http://python-requests.org'
__version__ = '2.14.2'
__build__ = 0x021402
__author__ = 'Kenneth Reitz'
__author_emai... | 32 | 90 | 0.580078 |
9a5c1f68a20ae77f851b7c77808363e8f8cfadda | 1,714 | py | Python | swap_in/clothes/models/clothes.py | Swap-in/swap.in_master | 22b052749bcaf779cde709fd8dde6129715d0314 | [
"MIT"
] | null | null | null | swap_in/clothes/models/clothes.py | Swap-in/swap.in_master | 22b052749bcaf779cde709fd8dde6129715d0314 | [
"MIT"
] | null | null | null | swap_in/clothes/models/clothes.py | Swap-in/swap.in_master | 22b052749bcaf779cde709fd8dde6129715d0314 | [
"MIT"
] | null | null | null | # Django
from django.db import models
# Models
from swap_in.users.models import User
from swap_in.utils.models import SwapinModel
from .categories import category
TYPE_GENDER = [
("FEMALE", "FEMALE"),
("MALE", "MALE"),
("UNISEX", "UNISEX")
]
class Clothes(SwapinModel):
"""Clothes ... | 23.162162 | 44 | 0.507585 |
7aa78d118bc9bd0b2d8da4477f5af1366ad98597 | 2,107 | py | Python | project_name/settings.py | joshvillbrandt/django-quick-start-project | e7ddb6f80a2a36f12f3a5415aef49a3dcd703888 | [
"Apache-2.0"
] | 2 | 2017-09-30T14:45:40.000Z | 2018-03-10T13:25:42.000Z | project_name/settings.py | joshvillbrandt/django-quick-start-project | e7ddb6f80a2a36f12f3a5415aef49a3dcd703888 | [
"Apache-2.0"
] | null | null | null | project_name/settings.py | joshvillbrandt/django-quick-start-project | e7ddb6f80a2a36f12f3a5415aef49a3dcd703888 | [
"Apache-2.0"
] | 1 | 2022-02-13T09:40:56.000Z | 2022-02-13T09:40:56.000Z | """
Django settings for {{ project_name }} project.
For more information on this file, see
https://docs.djangoproject.com/en/{{ docs_version }}/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/{{ docs_version }}/ref/settings/
"""
# Build paths inside the project ... | 24.788235 | 86 | 0.719032 |
447263db6850010a7828305b60c3bee72703dde1 | 3,784 | py | Python | tensor2tensor/data_generators/quora_qpairs.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 12,921 | 2017-06-15T17:11:46.000Z | 2022-03-31T15:22:11.000Z | tensor2tensor/data_generators/quora_qpairs.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 1,635 | 2017-06-18T15:29:27.000Z | 2022-03-19T20:35:23.000Z | tensor2tensor/data_generators/quora_qpairs.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 3,521 | 2017-06-15T18:25:42.000Z | 2022-03-31T05:47:55.000Z | # coding=utf-8
# Copyright 2021 The Tensor2Tensor Authors.
#
# 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... | 30.516129 | 79 | 0.707452 |
032bf77c610e3d4eb6da5358889a46fd510bc4b8 | 276 | py | Python | pwnlib/filesystem/path.py | tkmikan/pwntools | 1238fc359eb72313d3f82849b2effdb7063ab429 | [
"MIT"
] | 8,966 | 2015-01-02T11:58:14.000Z | 2022-03-31T21:19:56.000Z | pwnlib/filesystem/path.py | tkmikan/pwntools | 1238fc359eb72313d3f82849b2effdb7063ab429 | [
"MIT"
] | 1,401 | 2015-01-01T00:56:22.000Z | 2022-03-31T16:19:53.000Z | pwnlib/filesystem/path.py | tkmikan/pwntools | 1238fc359eb72313d3f82849b2effdb7063ab429 | [
"MIT"
] | 1,844 | 2015-01-07T04:38:06.000Z | 2022-03-30T03:54:46.000Z | import six
import tempfile
if six.PY3:
from pathlib import *
else:
from pathlib2 import *
@classmethod
def mktemp(cls):
return cls(tempfile.mktemp())
@classmethod
def mkdtemp(cls):
return cls(tempfile.mkdtemp())
Path.mktemp = mktemp
Path.mkdtemp = mkdtemp
| 14.526316 | 34 | 0.717391 |
a8615309cb4ec296ecee2675dc364629291dd52b | 506 | py | Python | com/blueberr/python/study/day1/interaction.py | CoderHongKong/python-study | 4e13359e3546b67d555a79adee63422cac7968c2 | [
"Apache-2.0"
] | null | null | null | com/blueberr/python/study/day1/interaction.py | CoderHongKong/python-study | 4e13359e3546b67d555a79adee63422cac7968c2 | [
"Apache-2.0"
] | null | null | null | com/blueberr/python/study/day1/interaction.py | CoderHongKong/python-study | 4e13359e3546b67d555a79adee63422cac7968c2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: UTF-8 -*-
#!/usr/bin/env python
#-------------------------------------------------------------------------------
# Name:
# Purpose:
#
# Author: hekai
#-------------------------------------------------------------------------------
name = input("name:")
pwd = input("pwd:")
age = int(input("age... | 16.322581 | 80 | 0.367589 |
c2ef9b9232407070c45955419539f04d3b2db128 | 2,285 | py | Python | src/deepproblog/examples/neurogta/train_on_more_data.py | vossenwout/gtadeepproblog | 65509b740518af422b96e84ef10716e0ac246e75 | [
"Apache-2.0"
] | null | null | null | src/deepproblog/examples/neurogta/train_on_more_data.py | vossenwout/gtadeepproblog | 65509b740518af422b96e84ef10716e0ac246e75 | [
"Apache-2.0"
] | null | null | null | src/deepproblog/examples/neurogta/train_on_more_data.py | vossenwout/gtadeepproblog | 65509b740518af422b96e84ef10716e0ac246e75 | [
"Apache-2.0"
] | null | null | null | import torch
from deepproblog.engines import ExactEngine
from deepproblog.examples.neurogta.data.dataset import train_dataset, test_dataset
from deepproblog.model import Model
from deepproblog.network import Network
from deepproblog.dataset import DataLoader
from deepproblog.engines import ExactEngine
from deepproblo... | 29.294872 | 84 | 0.791685 |
ad8a5eb792aae7ff19a44c7cfa95795f02fde078 | 789 | py | Python | built-in/PyTorch/Official/cv/image_classification/Gluon_ResNet50_v1d_for_PyTorch/hubconf.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | built-in/PyTorch/Official/cv/image_classification/Gluon_ResNet50_v1d_for_PyTorch/hubconf.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 1 | 2022-01-20T03:11:05.000Z | 2022-01-20T06:53:39.000Z | built-in/PyTorch/Official/cv/image_classification/Gluon_ResNet50_v1d_for_PyTorch/hubconf.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 2 | 2021-07-10T12:40:46.000Z | 2021-12-17T07:55:15.000Z | # Copyright [yyyy] [name of copyright owner]
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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.or... | 37.571429 | 78 | 0.721166 |
86e4b9137d76900952dc519cec28e05827550bf8 | 2,490 | py | Python | tests/test_parse_context.py | gubschk/CDEWIP | fb628593417df5f955eb1fa62176b7cb3c322ebc | [
"MIT"
] | null | null | null | tests/test_parse_context.py | gubschk/CDEWIP | fb628593417df5f955eb1fa62176b7cb3c322ebc | [
"MIT"
] | null | null | null | tests/test_parse_context.py | gubschk/CDEWIP | fb628593417df5f955eb1fa62176b7cb3c322ebc | [
"MIT"
] | 1 | 2021-02-21T02:51:39.000Z | 2021-02-21T02:51:39.000Z | # -*- coding: utf-8 -*-
"""
test_parse_apparatus
~~~~~~~~~~~~~~~~~~~~
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import unittest
from lxml import etree
from chemdataextrac... | 35.571429 | 222 | 0.669478 |
23dcaad02972a1fdf94b45ba9fb8b7a9ecd6fc36 | 3,309 | py | Python | sopel_modules/sports/mlb.py | RustyBower/sopel-sports | 302333371a0d24e653978e18eac1c6796dca1992 | [
"MIT"
] | 1 | 2021-10-01T15:38:53.000Z | 2021-10-01T15:38:53.000Z | sopel_modules/sports/mlb.py | RustyBower/sopel-sports | 302333371a0d24e653978e18eac1c6796dca1992 | [
"MIT"
] | 8 | 2020-02-23T00:30:46.000Z | 2021-09-26T16:03:09.000Z | sopel_modules/sports/mlb.py | RustyBower/sopel-sports | 302333371a0d24e653978e18eac1c6796dca1992 | [
"MIT"
] | null | null | null | # coding=utf-8
# Copyright 2019, Rusty Bower, rustybower.com
import arrow
import requests
from sopel.formatting import bold
from sopel.module import commands, example
def parse_games(date):
if date:
r = requests.get(
"https://statsapi.mlb.com/api/v1/schedule?sportId=1&date={}".format(date)
... | 37.602273 | 85 | 0.414929 |
9a452cd5aefae61e8f8734abb9e18f3e71576a07 | 1,218 | py | Python | pyvisdk/do/host_cnx_failed_no_connection_event.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/do/host_cnx_failed_no_connection_event.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/do/host_cnx_failed_no_connection_event.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null |
import logging
from pyvisdk.exceptions import InvalidArgumentError
########################################
# Automatically generated, do not edit.
########################################
log = logging.getLogger(__name__)
def HostCnxFailedNoConnectionEvent(vim, *args, **kwargs):
'''This event records a failure... | 34.8 | 124 | 0.614943 |
6c63e1aa11dd355b3ea3fb2b6c70dd70ecef6fa9 | 88 | py | Python | tests/periodicities/Hour/Cycle_Hour_3200_H_30.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/periodicities/Hour/Cycle_Hour_3200_H_30.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/periodicities/Hour/Cycle_Hour_3200_H_30.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.tests.periodicities.period_test as per
per.buildModel((30 , 'H' , 3200));
| 17.6 | 50 | 0.727273 |
aff9983d1697103bd24ad5c778ae7a2ff1cb41e5 | 9,603 | py | Python | zerver/tests/test_alert_words.py | sa2c/zulip | a00d911ed1071e6a8bbaa17d8df9e96115973588 | [
"Apache-2.0"
] | 1 | 2021-05-15T00:44:42.000Z | 2021-05-15T00:44:42.000Z | zerver/tests/test_alert_words.py | sa2c/zulip | a00d911ed1071e6a8bbaa17d8df9e96115973588 | [
"Apache-2.0"
] | 1 | 2019-12-24T06:51:52.000Z | 2019-12-24T06:51:52.000Z | zerver/tests/test_alert_words.py | sa2c/zulip | a00d911ed1071e6a8bbaa17d8df9e96115973588 | [
"Apache-2.0"
] | 1 | 2021-07-22T10:14:08.000Z | 2021-07-22T10:14:08.000Z | import orjson
from zerver.lib.actions import do_add_alert_words, do_remove_alert_words
from zerver.lib.alert_words import alert_words_in_realm, user_alert_words
from zerver.lib.test_classes import ZulipTestCase
from zerver.lib.test_helpers import most_recent_message, most_recent_usermessage
from zerver.models import A... | 39.681818 | 95 | 0.649797 |
177718b33dc92ce41940f9dc56cc200f255f3ea9 | 7,043 | py | Python | discord/ui/input_text.py | zearakun/pycyat | 5f77f120df0caf6e4c4dd8b8f03c426354b0882f | [
"MIT"
] | null | null | null | discord/ui/input_text.py | zearakun/pycyat | 5f77f120df0caf6e4c4dd8b8f03c426354b0882f | [
"MIT"
] | null | null | null | discord/ui/input_text.py | zearakun/pycyat | 5f77f120df0caf6e4c4dd8b8f03c426354b0882f | [
"MIT"
] | null | null | null | from __future__ import annotations
import os
from typing import TYPE_CHECKING, Optional
from ..components import InputText as InputTextComponent
from ..enums import ComponentType, InputTextStyle
from ..utils import MISSING
__all__ = ("InputText",)
if TYPE_CHECKING:
from ..types.components import InputText as In... | 37.663102 | 109 | 0.650859 |
e395e0e044aab6f7b82bd9dba6afbfff2001bbd5 | 1,677 | py | Python | roll_prob.py | slaymaker1907/dnd-stuff | 7da4294fadcf52759a033d68f5b429d571870ff7 | [
"MIT"
] | null | null | null | roll_prob.py | slaymaker1907/dnd-stuff | 7da4294fadcf52759a033d68f5b429d571870ff7 | [
"MIT"
] | null | null | null | roll_prob.py | slaymaker1907/dnd-stuff | 7da4294fadcf52759a033d68f5b429d571870ff7 | [
"MIT"
] | null | null | null | import collections as c
# Dicts mapping rolls to probabilities.
def combine_rolls(roll1, roll2):
result = c.defaultdict(lambda: 0)
for value1, prob1 in roll1.items():
for value2, prob2 in roll2.items():
result[value1 + value2] += prob1 * prob2
return result
def generic_roll(dice_type, ... | 29.946429 | 62 | 0.627311 |
22915b91623e8b3eeb5b8c65d97961d3e45b148d | 14,570 | py | Python | morf-python-api/build/lib/morf/workflow/extract.py | jpgard/morf | f17afcacef68929a5ce9e7714208be1002a42418 | [
"MIT"
] | 14 | 2018-06-27T13:15:46.000Z | 2021-08-30T08:24:38.000Z | morf-python-api/build/lib/morf/workflow/extract.py | jpgard/morf | f17afcacef68929a5ce9e7714208be1002a42418 | [
"MIT"
] | 58 | 2018-02-03T15:31:15.000Z | 2019-10-15T02:12:05.000Z | morf-python-api/build/lib/morf/workflow/extract.py | jpgard/morf | f17afcacef68929a5ce9e7714208be1002a42418 | [
"MIT"
] | 7 | 2018-03-29T14:47:34.000Z | 2021-06-22T01:34:52.000Z | # Copyright (c) 2018 The Regents of the University of Michigan
# and the University of Pennsylvania
#
# 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 li... | 50.590278 | 172 | 0.704118 |
c5389057ce8c483ea98a57cca8e33012d0dce7fd | 1,446 | py | Python | examples/searchbot_example.py | tysen2k/ffai | 2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec | [
"Apache-2.0"
] | null | null | null | examples/searchbot_example.py | tysen2k/ffai | 2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec | [
"Apache-2.0"
] | null | null | null | examples/searchbot_example.py | tysen2k/ffai | 2fa1fd45a8877986fdb21e3fea5e01cbf819d3ec | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from ffai.core import Agent, Game
from ffai.core.load import *
from ffai.ai.registry import register_bot, make_bot
import examples.scripted_bot_example
# Load configurations, rules, arena and teams
config = load_config("bot-bowl-i.json")
ruleset = load_rule_set(config.ruleset, all_rules=False)... | 29.510204 | 92 | 0.697787 |
942c3627acd262b51a189fafadf3a87b1248fa70 | 205 | py | Python | src/eavatar.ava/ava/__init__.py | eavatar/ava | 4f09c5417b7187dd919b7edabb8c516d8efc0696 | [
"BSD-3-Clause"
] | null | null | null | src/eavatar.ava/ava/__init__.py | eavatar/ava | 4f09c5417b7187dd919b7edabb8c516d8efc0696 | [
"BSD-3-Clause"
] | null | null | null | src/eavatar.ava/ava/__init__.py | eavatar/ava | 4f09c5417b7187dd919b7edabb8c516d8efc0696 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import time
VERSION_MAJOR = 0
VERSION_MINOR = 1
VERSION_MICRO = time.time()
__version__ = '%d.%d.%d' % (VERSION_MAJOR, VERSION_MINOR, VERSION_MICRO)
VERSION_STRING = __version__
| 18.636364 | 72 | 0.717073 |
9fccdf46a86e70b879eb9c475d56ba89c04aa4b6 | 904 | py | Python | src/euler_python_package/euler_python/medium/p188.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p188.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/medium/p188.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | #
#
import sys
from euler_python.utils import eulerlib
def problem188():
x, y, m = 1777, 1855, 10 ** 8
sys.setrecursionlimit(
y + 30
) # Because the default recursion limit of 1000 is insufficient
ans = tetration_mod(x, y, m)
return ans
def tetration_mod(x, y, m):
if y == 1:
... | 19.652174 | 83 | 0.484513 |
31d9b97154e9c376a0f7765397099fd09f1e86f9 | 4,139 | py | Python | bigml/api_handlers/timeserieshandler.py | mmerce/python | 696ddc2a10c985cfe266ec2807c24b98f0c9a317 | [
"Apache-2.0"
] | null | null | null | bigml/api_handlers/timeserieshandler.py | mmerce/python | 696ddc2a10c985cfe266ec2807c24b98f0c9a317 | [
"Apache-2.0"
] | 6 | 2016-10-27T18:26:12.000Z | 2017-10-03T22:54:20.000Z | bigml/api_handlers/timeserieshandler.py | mmerce/python | 696ddc2a10c985cfe266ec2807c24b98f0c9a317 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2017-2020 BigML
#
# 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 ... | 36.307018 | 76 | 0.657405 |
bf5ce32e8a8339c4e84d6a73d1169490899ae6a8 | 17,659 | py | Python | tests/test_basic.py | pierretr/troposphere | 1bd6a010a3132aa3436ffe6b892f352876face4b | [
"BSD-2-Clause"
] | 4,573 | 2015-01-02T20:31:04.000Z | 2022-03-31T17:15:32.000Z | tests/test_basic.py | pierretr/troposphere | 1bd6a010a3132aa3436ffe6b892f352876face4b | [
"BSD-2-Clause"
] | 1,730 | 2015-01-02T19:24:47.000Z | 2022-03-31T23:22:52.000Z | tests/test_basic.py | pierretr/troposphere | 1bd6a010a3132aa3436ffe6b892f352876face4b | [
"BSD-2-Clause"
] | 1,753 | 2015-01-01T01:24:12.000Z | 2022-03-27T05:36:17.000Z | import pickle
import unittest
from troposphere import (
AWSObject,
AWSProperty,
Cidr,
If,
Join,
NoValue,
Output,
Parameter,
Ref,
Region,
Split,
Sub,
Template,
cloudformation,
depends_on_helper,
)
from troposphere.ec2 import Instance, NetworkInterface, Route, ... | 30.394148 | 85 | 0.579931 |
894376bd4fd9e4abb84a9c267679c5eadbcd2b9b | 1,335 | py | Python | tests/validation_data.py | DSAdv/tcp-tls-tunnel-py | e9b5271e4cfae1df09b9fab77db4906b7cee8337 | [
"MIT"
] | 1 | 2021-08-30T21:03:41.000Z | 2021-08-30T21:03:41.000Z | tests/validation_data.py | DSAdv/tcp-tls-tunnel-py | e9b5271e4cfae1df09b9fab77db4906b7cee8337 | [
"MIT"
] | 1 | 2022-03-31T12:02:29.000Z | 2022-03-31T12:02:29.000Z | tests/validation_data.py | DSAdv/tcp-tls-tunnel-py | e9b5271e4cfae1df09b9fab77db4906b7cee8337 | [
"MIT"
] | 1 | 2021-08-28T14:35:18.000Z | 2021-08-28T14:35:18.000Z |
HOWSMYSSL_VALIDATION_RESPONSE = {
'given_cipher_suites': [
'TLS_GREASE_IS_THE_WORD_AA',
'TLS_AES_128_GCM_SHA256',
'TLS_AES_256_GCM_SHA384',
'TLS_CHACHA20_POLY1305_SHA256',
'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256',
... | 43.064516 | 64 | 0.602247 |
48b861b4975598c12cc3b1ba2a63e9d06b3ae77d | 7,828 | py | Python | tests/network_coefficient_plots.py | RenYuanXue/residual-sample-nn | 0f05a88c9e9d99b3c1c73dc4d8a2d638a689ebfb | [
"MIT"
] | 2 | 2020-03-06T00:27:19.000Z | 2020-03-06T00:27:57.000Z | tests/network_coefficient_plots.py | RenYuanXue/residual-sample-nn | 0f05a88c9e9d99b3c1c73dc4d8a2d638a689ebfb | [
"MIT"
] | 3 | 2021-04-30T21:13:23.000Z | 2022-02-10T01:14:50.000Z | tests/network_coefficient_plots.py | RenYuanXue/residual-sample-nn | 0f05a88c9e9d99b3c1c73dc4d8a2d638a689ebfb | [
"MIT"
] | 2 | 2020-04-17T20:33:25.000Z | 2020-04-17T20:46:19.000Z | import sys
sys.path.append("../residual-sample-nn") # for finding the source files
import GenerateData as generate_data
import Network as Network
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import configparser
def RSNN_param_test(X_train, X_test, y_train, y_test, h_nodes, epochs, lr, times,... | 47.731707 | 142 | 0.627619 |
68a5a791e8feb36b742f033238643818f7ab4d7c | 1,251 | py | Python | setup.py | patrickaudriaz/mini-project | 49d8200b8210fe1b09a1a05f2357260a77e10c36 | [
"MIT"
] | 4 | 2020-10-07T11:16:29.000Z | 2021-09-19T05:49:32.000Z | setup.py | patrickaudriaz/mini-project | 49d8200b8210fe1b09a1a05f2357260a77e10c36 | [
"MIT"
] | 12 | 2020-09-09T05:59:43.000Z | 2020-10-07T13:23:18.000Z | setup.py | patrickaudriaz/mini-project | 49d8200b8210fe1b09a1a05f2357260a77e10c36 | [
"MIT"
] | 1 | 2020-10-06T03:52:05.000Z | 2020-10-06T03:52:05.000Z | #!/usr/bin/env python
# coding=utf-8
from setuptools import setup, find_packages
def load_requirements(f):
retval = [str(k.strip()) for k in open(f, "rt")]
return [k for k in retval if k and k[0] not in ("#", "-")]
setup(
name="rrgp",
version="1.0.7",
description="This project aims to train a m... | 35.742857 | 191 | 0.673062 |
99d05b4f5d9395b3236b58b8060a91c56948b8f9 | 9,983 | py | Python | analysis/cloud9/coverage.py | wangpeipei90/cloud9 | a15558d1fa3e397b157b1191aa1ef9b225eef2dd | [
"BSD-3-Clause"
] | 40 | 2015-01-08T10:28:20.000Z | 2022-03-11T02:48:46.000Z | analysis/cloud9/coverage.py | mcanthony/cloud9 | a15558d1fa3e397b157b1191aa1ef9b225eef2dd | [
"BSD-3-Clause"
] | 3 | 2015-04-13T04:13:39.000Z | 2020-03-28T05:23:41.000Z | analysis/cloud9/coverage.py | mcanthony/cloud9 | a15558d1fa3e397b157b1191aa1ef9b225eef2dd | [
"BSD-3-Clause"
] | 24 | 2015-03-30T04:39:28.000Z | 2022-01-04T17:17:33.000Z | #!/usr/bin/python
#
# Copyright (c) 2012 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... | 32.624183 | 124 | 0.67625 |
a8895b2313c148747c0fe50b6ef84ede31f3fcb3 | 4,945 | py | Python | scripts/release-diff.py | EBI-Metabolights/galaxy | 4b3c94822a2e859c83bef221fe99ddb87d4d9cae | [
"CC-BY-3.0"
] | null | null | null | scripts/release-diff.py | EBI-Metabolights/galaxy | 4b3c94822a2e859c83bef221fe99ddb87d4d9cae | [
"CC-BY-3.0"
] | null | null | null | scripts/release-diff.py | EBI-Metabolights/galaxy | 4b3c94822a2e859c83bef221fe99ddb87d4d9cae | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
import argparse
import glob
import subprocess
from pathlib import Path
import yaml
def flatten(d, path):
"""
Flatten a dictionary into ('some/path/to/key', value)
>>> flatten({'a': {'b': 2}, 'q': 3}, [])
[('a.b', 2), ('q', 3)]
"""
if isinstance(d, dict):
for k,... | 27.17033 | 121 | 0.581193 |
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