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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b65874703d066eb9015f31b38395e507f3fa6812 | 6,069 | py | Python | poker/poker_player.py | smokeytheblair/stuff | 79a2367542e44510085750334bf95d2b2064769c | [
"MIT"
] | null | null | null | poker/poker_player.py | smokeytheblair/stuff | 79a2367542e44510085750334bf95d2b2064769c | [
"MIT"
] | null | null | null | poker/poker_player.py | smokeytheblair/stuff | 79a2367542e44510085750334bf95d2b2064769c | [
"MIT"
] | 1 | 2018-10-03T19:49:29.000Z | 2018-10-03T19:49:29.000Z | import asyncio
from enum import Enum
import copy
from deck_of_cards import VALUES, VALUE_IDS
from collections import defaultdict
class Action(Enum):
FOLD = 0
BET = 1
RAISE = 2
CALL = 3
class PokerHand(Enum):
NOTHING = 0
PAIR = 1
TWO_PAIR = 2
THREE_OF_A_KIND = 3
STRAIGHT = 4
FLU... | 24.670732 | 105 | 0.55594 |
68aa6d5baf92060be33e0fa39d5e392f8f0573ff | 4,333 | py | Python | occupant/occupancy/queueing/simulate_queue.py | YangyangFu/MPCPy | c9980cbfe7b5ea21b003c2c0bab800099dccf3f1 | [
"BSD-3-Clause-LBNL"
] | 96 | 2017-03-31T09:59:44.000Z | 2022-03-23T18:39:37.000Z | occupant/occupancy/queueing/simulate_queue.py | kuzha/MPCPy | 9f78aa68236f87d39a50de54978c5064f9cc13c6 | [
"BSD-3-Clause-LBNL"
] | 150 | 2017-03-03T17:28:34.000Z | 2021-02-24T20:03:24.000Z | occupant/occupancy/queueing/simulate_queue.py | kuzha/MPCPy | 9f78aa68236f87d39a50de54978c5064f9cc13c6 | [
"BSD-3-Clause-LBNL"
] | 32 | 2017-04-24T18:22:40.000Z | 2022-03-29T17:51:20.000Z | from __future__ import division
import numpy as np
from unique_last import unique_last
import matplotlib.pyplot as plt
import warnings
def simulate_queue(maxtime,lam,mu,nstart,empty_time):
# Function for simulate queue system size given the queue parameters
# Inputs: maxtime - the time range for simualtion
... | 31.398551 | 92 | 0.62751 |
db3cc7daab62544b41d60de49ba582984b0deee3 | 12,518 | py | Python | sentinelone/komand_sentinelone/triggers/get_threats/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | sentinelone/komand_sentinelone/triggers/get_threats/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | sentinelone/komand_sentinelone/triggers/get_threats/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
AGENT_IS_ACTIVE = "agent_is_active"
CLASSIFICATIONS = "classifications"
ENGINES = "engines"
FREQUENCY = "frequency"
RESOLVED = "resolved"
class Output:
THREAT = "threat"
class GetThreatsInput(k... | 26.024948 | 84 | 0.435373 |
9d1ac75ce31cb7086aaa7434805d15a83b0068c1 | 4,382 | py | Python | pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/utils.py | jhiggins-NZ/genielibs | 0ab2892ef93288313afbdd0eaf68b13018269960 | [
"Apache-2.0"
] | null | null | null | pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/utils.py | jhiggins-NZ/genielibs | 0ab2892ef93288313afbdd0eaf68b13018269960 | [
"Apache-2.0"
] | null | null | null | pkgs/sdk-pkg/src/genie/libs/sdk/apis/junos/utils.py | jhiggins-NZ/genielibs | 0ab2892ef93288313afbdd0eaf68b13018269960 | [
"Apache-2.0"
] | null | null | null | """Utility type functions that do not fit into another category"""
# Python
import re
import logging
# Genie
from genie.metaparser.util.exceptions import SchemaEmptyParserError
from genie.libs.sdk.libs.utils.normalize import GroupKeys
from genie.utils import Dq
from genie.utils.timeout import Timeout
# Pyats
from pya... | 29.608108 | 88 | 0.478092 |
75ac4caba42f55991affd593d5cc17b23e8fe331 | 508 | py | Python | test_main.py | nicojahn/EPFD | 446f35103d29e3dd69d8151c54de95bc8aed7ec6 | [
"MIT"
] | 5 | 2020-09-18T13:21:18.000Z | 2021-05-13T04:43:21.000Z | test_main.py | nicojahn/EPFD | 446f35103d29e3dd69d8151c54de95bc8aed7ec6 | [
"MIT"
] | null | null | null | test_main.py | nicojahn/EPFD | 446f35103d29e3dd69d8151c54de95bc8aed7ec6 | [
"MIT"
] | 2 | 2021-05-03T18:45:47.000Z | 2021-11-16T02:30:43.000Z | # coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
import numpy as np
from main import load_iris
class TestMain(unittest.TestCase):
def test_load_iris(self):
X_trn, y_trn, X_tst, y_tst = load_iris()
self.as... | 25.4 | 51 | 0.712598 |
c637d1bd113c4ca0e6701f5226831297b5cf1858 | 10,238 | py | Python | src/baxter_external_devices/joystick.py | maymohan/baxter_examples | 37dbb35ccb02356de76ea64fda61b5389b0a8f8c | [
"BSD-3-Clause"
] | null | null | null | src/baxter_external_devices/joystick.py | maymohan/baxter_examples | 37dbb35ccb02356de76ea64fda61b5389b0a8f8c | [
"BSD-3-Clause"
] | null | null | null | src/baxter_external_devices/joystick.py | maymohan/baxter_examples | 37dbb35ccb02356de76ea64fda61b5389b0a8f8c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2013-2015, Rethink Robotics
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# ... | 34.823129 | 77 | 0.609396 |
a8e670f3c03f5c95ab0620d83cdffb3172e4fc88 | 256 | py | Python | stockdaq/data/downloader_dict.py | terrencetec/stockdaq | 8561b1d1b94b6091dfe4d9ebf2fc84daa2d571d6 | [
"MIT"
] | null | null | null | stockdaq/data/downloader_dict.py | terrencetec/stockdaq | 8561b1d1b94b6091dfe4d9ebf2fc84daa2d571d6 | [
"MIT"
] | 7 | 2021-01-08T01:02:58.000Z | 2021-01-12T17:38:03.000Z | stockdaq/data/downloader_dict.py | terrencetec/stockdaq | 8561b1d1b94b6091dfe4d9ebf2fc84daa2d571d6 | [
"MIT"
] | null | null | null | import stockdaq.data.alpha_vantage_downloader as av_downloader
import stockdaq.data.yfinance_downloader
downloader_dict = {
"Alpha Vantage": av_downloader.AlphaVantageDownloader,
"yfinance": stockdaq.data.yfinance_downloader.yfinanceDownloader,
}
| 32 | 69 | 0.832031 |
407f002a100243ac632805306ed20a938b11ab74 | 24,908 | py | Python | sleep_scorer/scoreblock.py | focolab/sleep-classifier | 6a7eb376267c66d697782d49785ade6948a17a85 | [
"MIT"
] | 1 | 2021-06-29T18:18:09.000Z | 2021-06-29T18:18:09.000Z | sleep_scorer/scoreblock.py | focolab/sleep-classifier | 6a7eb376267c66d697782d49785ade6948a17a85 | [
"MIT"
] | null | null | null | sleep_scorer/scoreblock.py | focolab/sleep-classifier | 6a7eb376267c66d697782d49785ade6948a17a85 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pdb
import os
import json
import numpy as np
import pandas as pd
def ppd(d):
for k, v in d.items():
print('%15s:' % k, v)
def consensus(X, val='XXX'):
"""element-wise consensus among lists in X"""
c = [y[0] if len(np.unique(y)) == 1 else val for y in zip(*X)]
... | 33.614035 | 106 | 0.574153 |
2560ff75c42fdcd74cd90de1cd017c9e601838a7 | 269 | py | Python | glue/core/data_factories/dendrogram.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | 1 | 2019-12-17T07:58:35.000Z | 2019-12-17T07:58:35.000Z | glue/core/data_factories/dendrogram.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | null | null | null | glue/core/data_factories/dendrogram.py | sergiopasra/glue | c25a217a122a11818382672c99cb21f57a30636f | [
"BSD-3-Clause"
] | 1 | 2019-08-04T14:10:12.000Z | 2019-08-04T14:10:12.000Z | from __future__ import absolute_import, division, print_function
from glue.core.data_factories.helpers import has_extension # noqa
__all__ = []
try:
from glue.core.data_factories.dendro_loader import load_dendro, is_dendro # noqa
except ImportError:
pass
| 22.416667 | 85 | 0.791822 |
cfae7e72a630a43b4b6b0cd5f1594e5514cf1542 | 3,178 | py | Python | test/unit/test_deform.py | shannonxtreme/DeepReg | 373f6c28fed1d7376d5c39340b08a3814804efb2 | [
"Apache-2.0"
] | 1 | 2020-11-05T12:17:27.000Z | 2020-11-05T12:17:27.000Z | test/unit/test_deform.py | shannonxtreme/DeepReg | 373f6c28fed1d7376d5c39340b08a3814804efb2 | [
"Apache-2.0"
] | null | null | null | test/unit/test_deform.py | shannonxtreme/DeepReg | 373f6c28fed1d7376d5c39340b08a3814804efb2 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
"""
Tests for deepreg/model/loss/deform.py in pytest style
"""
from test.unit.util import is_equal_tf
import pytest
import tensorflow as tf
import deepreg.model.loss.deform as deform
def test_gradient_dx():
"""test the calculation of gradient of a 3D images along x-axis"""
tensor = tf.ones([... | 29.981132 | 72 | 0.657332 |
81d32b3d8702ffacf8d690c22019ece6f870b74c | 237 | py | Python | bot/data/video.py | Xayzo/Telegram-Tiktok-downloader | 3fbc492d07a4544cb99198b6c371cb640d1500b0 | [
"MIT"
] | 4 | 2021-09-29T05:35:25.000Z | 2022-01-27T11:40:58.000Z | bot/data/video.py | Xayzo/Telegram-Tiktok-downloader | 3fbc492d07a4544cb99198b6c371cb640d1500b0 | [
"MIT"
] | null | null | null | bot/data/video.py | Xayzo/Telegram-Tiktok-downloader | 3fbc492d07a4544cb99198b6c371cb640d1500b0 | [
"MIT"
] | 4 | 2021-11-27T05:19:50.000Z | 2022-02-20T08:18:42.000Z | from attr import attrs, attrib
from typing import Optional
@attrs(slots=True, auto_attribs=True, order=False, eq=False)
class VideoData:
url: Optional[str] = attrib(default=None)
content: Optional[bytes] = attrib(default=None)
| 26.333333 | 60 | 0.751055 |
b3aaed1b4c252f0284d56eed8a714aa7d8964b5f | 1,164 | py | Python | capsnet-arch/learning-curves.py | eaaskt/nlu | 77382be572ce59f15d8ea9c5cd653615c39891d1 | [
"MIT"
] | 3 | 2019-03-11T09:15:36.000Z | 2020-04-06T15:06:33.000Z | capsnet-arch/learning-curves.py | eaaskt/nlu | 77382be572ce59f15d8ea9c5cd653615c39891d1 | [
"MIT"
] | 24 | 2020-03-31T11:22:54.000Z | 2022-03-12T00:23:49.000Z | capsnet-arch/learning-curves.py | eaaskt/nlu | 77382be572ce59f15d8ea9c5cd653615c39891d1 | [
"MIT"
] | 5 | 2020-03-29T10:04:31.000Z | 2020-05-28T06:50:18.000Z | import train
import data_loader
import flags
import model_s2i
def main():
word2vec_path = '../../romanian_word_vecs/cleaned-vectors-diacritice-cc-100.vec'
training_data_path = '../data-capsnets/diacritics/scenario1/train.txt'
test_data_path = '../data-capsnets/diacritics/scenario1/test.txt'
# Define... | 33.257143 | 115 | 0.64433 |
e8d33abdc279d5ac4ac3a7b954c6b0d8d71abe3f | 59 | py | Python | pandoc_cqu_thesis/__main__.py | Hagb/pandoc_cqu_thesis | 46ea35221f314656bc8e48d08c595a92104bba3a | [
"MIT"
] | 2 | 2022-02-11T01:11:33.000Z | 2022-02-11T04:32:43.000Z | pandoc_cqu_thesis/__main__.py | Hagb/pandoc_cqu_thesis | 46ea35221f314656bc8e48d08c595a92104bba3a | [
"MIT"
] | null | null | null | pandoc_cqu_thesis/__main__.py | Hagb/pandoc_cqu_thesis | 46ea35221f314656bc8e48d08c595a92104bba3a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import docx_filters
docx_filters.main()
| 14.75 | 19 | 0.79661 |
73337602f5321904e2d0daad04641b8b4496da27 | 496 | py | Python | plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 2 | 2020-03-24T11:41:14.000Z | 2021-01-14T07:59:43.000Z | plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | plotly/validators/scatterpolar/marker/colorbar/_outlinewidth.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 4 | 2019-06-03T14:49:12.000Z | 2022-01-06T01:05:12.000Z | import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name='outlinewidth',
parent_name='scatterpolar.marker.colorbar',
**kwargs
):
super(OutlinewidthValidator, self).__init__(
... | 24.8 | 74 | 0.606855 |
fbdae249f72280728c0c566f3ece5af7b13ffccf | 557 | py | Python | setup.py | dm03514/protobuf-pii | c97067c197e52ef0fdb75ee519061842bf60d0e1 | [
"Apache-2.0"
] | null | null | null | setup.py | dm03514/protobuf-pii | c97067c197e52ef0fdb75ee519061842bf60d0e1 | [
"Apache-2.0"
] | null | null | null | setup.py | dm03514/protobuf-pii | c97067c197e52ef0fdb75ee519061842bf60d0e1 | [
"Apache-2.0"
] | null | null | null | import os
import pathlib
import setuptools
from pkg_resources import parse_requirements
from setuptools import setup
dir_path = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(dir_path, 'requirements.txt')
with pathlib.Path(file_path).open() as requirements_txt:
reqs = [
str(requir... | 20.62963 | 56 | 0.72711 |
85c53d476652836cfe91ae434f0b36c18112caee | 2,536 | py | Python | base_site/nubank/migrations/0002_auto_20191127_2230.py | ricardochaves/financeiro-bot | 2c48be4355e3c8630c36aa846c16042f22b88271 | [
"MIT"
] | 4 | 2020-01-21T00:21:44.000Z | 2021-06-15T19:38:36.000Z | base_site/nubank/migrations/0002_auto_20191127_2230.py | ricardochaves/financeiro-bot | 2c48be4355e3c8630c36aa846c16042f22b88271 | [
"MIT"
] | 173 | 2019-11-18T08:19:44.000Z | 2021-09-08T01:37:19.000Z | base_site/nubank/migrations/0002_auto_20191127_2230.py | ricardochaves/financeiro-bot | 2c48be4355e3c8630c36aa846c16042f22b88271 | [
"MIT"
] | 3 | 2020-01-28T19:19:35.000Z | 2021-05-01T02:33:36.000Z | # Generated by Django 2.2.7 on 2019-11-28 00:30
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("nubank", "0001_initial")]
operations = [
migrations.CreateModel(
name="NubankCards",
... | 48.769231 | 120 | 0.596215 |
22a28cfb23fb686878da0193fa0769981c8e6437 | 4,808 | py | Python | test/test_util.py | pombredanne/wheelodex | defaa4809d0186a2cb3e77213ad2b0585ac13127 | [
"MIT"
] | 17 | 2018-10-18T17:49:28.000Z | 2022-03-10T14:57:13.000Z | test/test_util.py | pombredanne/wheelodex | defaa4809d0186a2cb3e77213ad2b0585ac13127 | [
"MIT"
] | 3 | 2018-10-17T15:19:04.000Z | 2021-12-21T19:45:58.000Z | test/test_util.py | pombredanne/wheelodex | defaa4809d0186a2cb3e77213ad2b0585ac13127 | [
"MIT"
] | 1 | 2018-10-30T02:59:48.000Z | 2018-10-30T02:59:48.000Z | from datetime import datetime, timezone
import pytest
from wheelodex.util import VersionNoDot, glob2like, latest_version, \
parse_timestamp, wheel_sort_key
@pytest.mark.parametrize('versions,latest', [
([], None),
(['1.0', '1.1', '2.0', '1.3'], '2.0'),
(['1.0', '2.... | 30.238994 | 177 | 0.614393 |
d58fca3033e465c21b8bbba326ab8675c89188c4 | 3,934 | py | Python | toto/plugins/plots/_do_perc_of_occurence.py | calypso-science/Toto | 85e90421343bf3dcf6d730767287647b5bc189bb | [
"MIT"
] | 1 | 2022-03-24T23:41:16.000Z | 2022-03-24T23:41:16.000Z | toto/plugins/plots/_do_perc_of_occurence.py | calypso-science/Toto | 85e90421343bf3dcf6d730767287647b5bc189bb | [
"MIT"
] | 12 | 2021-02-24T22:30:52.000Z | 2021-11-16T01:51:38.000Z | toto/plugins/plots/_do_perc_of_occurence.py | calypso-science/Toto | 85e90421343bf3dcf6d730767287647b5bc189bb | [
"MIT"
] | 1 | 2021-09-21T11:37:09.000Z | 2021-09-21T11:37:09.000Z | import numpy as np
from matplotlib import pyplot as plt
from matplotlib.figure import Figure
import matplotlib.colors as colors
import matplotlib.cm as cmx
from ...core.toolbox import get_number_of_loops,degToCompass
from matplotlib import gridspec
from grid_strategy import strategies
def get_perc(s,SPD):
perc=np... | 30.261538 | 123 | 0.59634 |
ce12b00d33942d8905827f30f97949bf79c75068 | 317 | py | Python | tests/green-led.py | azzuwan/ERN | f6ad5cd2d44c89c806c6f21ddee34b1692a484c3 | [
"MIT"
] | null | null | null | tests/green-led.py | azzuwan/ERN | f6ad5cd2d44c89c806c6f21ddee34b1692a484c3 | [
"MIT"
] | null | null | null | tests/green-led.py | azzuwan/ERN | f6ad5cd2d44c89c806c6f21ddee34b1692a484c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import RPi.GPIO as GPIO, time, requests
green = 29
GPIO.setmode(GPIO.BOARD)
GPIO.setup(green, GPIO.OUT)
GPIO.output(green, False)
time.sleep(0.1)
GPIO.output(green, True)
time.sleep(3)
GPIO.output(green, False)
time.sleep(3)
GPIO.output(green, True)
time.sleep(3)
GPIO.output(green, False)
| 16.684211 | 39 | 0.735016 |
26d71ef3015fea200c5e7e529d05400133c90a27 | 503 | py | Python | src/tenyksfun/main.py | nijotz/tenyks-contrib | eea737a2b3d68d8410d21e7e7bb88ef0af7255d8 | [
"MIT"
] | null | null | null | src/tenyksfun/main.py | nijotz/tenyks-contrib | eea737a2b3d68d8410d21e7e7bb88ef0af7255d8 | [
"MIT"
] | null | null | null | src/tenyksfun/main.py | nijotz/tenyks-contrib | eea737a2b3d68d8410d21e7e7bb88ef0af7255d8 | [
"MIT"
] | null | null | null | from datetime import date
import random
from tenyks.client import Client, run_client
class TenyksFun(Client):
direct_only = False
def __init__(self, *args, **kwargs):
self.hello_counts = {}
super(TenyksFun, self).__init__(*args, **kwargs)
def handle(self, data, match, filter_name):
... | 19.346154 | 64 | 0.642147 |
a05fa605f3d16b9befdd745a5a1d887762116e14 | 2,527 | py | Python | test/python/transpiler/test_fixed_point_pass.py | ajavadia/qiskit-sdk-py | a59e8e6be1793197e19998c1f7dcfc45e6f2f3af | [
"Apache-2.0"
] | 11 | 2019-06-27T09:53:29.000Z | 2021-03-02T04:40:30.000Z | test/python/transpiler/test_fixed_point_pass.py | ajavadia/qiskit-sdk-py | a59e8e6be1793197e19998c1f7dcfc45e6f2f3af | [
"Apache-2.0"
] | 24 | 2021-01-27T08:20:27.000Z | 2021-07-06T09:42:28.000Z | test/python/transpiler/test_fixed_point_pass.py | ajavadia/qiskit-sdk-py | a59e8e6be1793197e19998c1f7dcfc45e6f2f3af | [
"Apache-2.0"
] | 4 | 2021-10-05T12:07:27.000Z | 2022-01-28T18:37:28.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 36.1 | 87 | 0.671152 |
de7c8ff413c08bb9834d763a691b31c4673f5b4c | 411 | py | Python | experiments/fdtd-2d/tmp_files/6632.py | LoopTilingBenchmark/benchmark | 52a3d2e70216552a498fd91de02a2fa9cb62122c | [
"BSD-2-Clause"
] | null | null | null | experiments/fdtd-2d/tmp_files/6632.py | LoopTilingBenchmark/benchmark | 52a3d2e70216552a498fd91de02a2fa9cb62122c | [
"BSD-2-Clause"
] | null | null | null | experiments/fdtd-2d/tmp_files/6632.py | LoopTilingBenchmark/benchmark | 52a3d2e70216552a498fd91de02a2fa9cb62122c | [
"BSD-2-Clause"
] | null | null | null | from chill import *
source('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/polybench/polybench-code/stencils/fdtd-2d/kernel.c')
destination('/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/experiments/fdtd-2d/tmp_files/6632.c')
procedure('kernel_fdtd_2d')
loop(0)
known(' nx > 1 ')
known(' ny > 1 ')
ti... | 22.833333 | 116 | 0.720195 |
3bfc0443402336fb70d6d087b2e2e2caf433fe12 | 11,826 | py | Python | tests/providers/test_phone_number.py | omri374/faker | 71e89a77c500a50c2a6238c5266d2fe26f4dfe5e | [
"MIT"
] | null | null | null | tests/providers/test_phone_number.py | omri374/faker | 71e89a77c500a50c2a6238c5266d2fe26f4dfe5e | [
"MIT"
] | null | null | null | tests/providers/test_phone_number.py | omri374/faker | 71e89a77c500a50c2a6238c5266d2fe26f4dfe5e | [
"MIT"
] | null | null | null | import re
from typing import Pattern
from faker.providers.phone_number import Provider as PhoneNumberProvider
from faker.providers.phone_number.en_PH import Provider as EnPhPhoneNumberProvider
class TestPhoneNumber:
"""Test phone number provider methods"""
def test_country_calling_code(self, faker, num_sam... | 40.22449 | 116 | 0.624472 |
24292d0f639225f021bade8d1366dc9361fbdfcb | 726 | py | Python | UnityPy/classes/EditorExtension.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | null | null | null | UnityPy/classes/EditorExtension.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | null | null | null | UnityPy/classes/EditorExtension.py | dblack2056/UnityPy | 303291e46ddfbf266131237e59e6b1b5c46a9ca4 | [
"MIT"
] | 1 | 2021-01-20T05:28:43.000Z | 2021-01-20T05:28:43.000Z | from .Object import Object
from .PPtr import PPtr, save_ptr
from ..enums import BuildTarget
from ..streams import EndianBinaryWriter, EndianBinaryReader
class EditorExtension(Object):
def __init__(self, reader: EndianBinaryReader):
super().__init__(reader=reader)
if self.platform == BuildTarget.No... | 38.210526 | 77 | 0.713499 |
7526839695998d446518e81c21dc7f214b0c4e62 | 749 | py | Python | RosettaCode/Prime_words/main.py | mohenjo/AlgorithmTraining | a8d64b6ce1c58086e3655ebc9997340aee93b74a | [
"MIT"
] | 3 | 2019-05-01T00:22:01.000Z | 2021-11-18T06:52:53.000Z | RosettaCode/Prime_words/main.py | mohenjo/RosettaCode | 02d4a0306f20d2edb79667ce0f66160ee865ebae | [
"MIT"
] | null | null | null | RosettaCode/Prime_words/main.py | mohenjo/RosettaCode | 02d4a0306f20d2edb79667ce0f66160ee865ebae | [
"MIT"
] | 1 | 2021-11-13T20:41:02.000Z | 2021-11-13T20:41:02.000Z | """Prime words
http://www.rosettacode.org/wiki/Prime_words
"""
def isPrime(number: int):
return all(number % num != 0 for num in range(2, number))
def get_prime_letters():
letters: str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
letters += letters.lower()
return [letter for letter in letters if isPrime(ord(lette... | 24.16129 | 78 | 0.64753 |
f1e8dfb9f154f2fb0b44711b1d7b7e2a4fba8477 | 17,574 | py | Python | api/getters.py | kmfrick/orario-sync_unibo | 2c74ad5fb5f2eadcb35d37b5e00d09b1fa13469d | [
"BSD-3-Clause"
] | null | null | null | api/getters.py | kmfrick/orario-sync_unibo | 2c74ad5fb5f2eadcb35d37b5e00d09b1fa13469d | [
"BSD-3-Clause"
] | null | null | null | api/getters.py | kmfrick/orario-sync_unibo | 2c74ad5fb5f2eadcb35d37b5e00d09b1fa13469d | [
"BSD-3-Clause"
] | null | null | null | import datetime
from datetime import timedelta
import dateutil.parser
import requests
from bs4 import BeautifulSoup
from bs4.dammit import EncodingDetector
from icalendar import Calendar, Event, Timezone
from api import constant
def get_encoding(resp):
"""Gets the encoding used in a webpage"""
http_encoding... | 44.604061 | 120 | 0.68516 |
c2b68890af2e496f00880cfdc43da45e7797ce58 | 29,835 | py | Python | tests/api/v1/test_challenges.py | atti1a/CTFd | 6c5c63d667a17aec159c8e26ea53dccfbc4d0fa3 | [
"Apache-2.0"
] | 7 | 2019-10-10T10:06:38.000Z | 2021-02-13T05:07:34.000Z | tests/api/v1/test_challenges.py | atti1a/CTFd | 6c5c63d667a17aec159c8e26ea53dccfbc4d0fa3 | [
"Apache-2.0"
] | 5 | 2021-03-09T20:12:55.000Z | 2022-02-10T19:27:46.000Z | tests/api/v1/test_challenges.py | atti1a/CTFd | 6c5c63d667a17aec159c8e26ea53dccfbc4d0fa3 | [
"Apache-2.0"
] | 13 | 2020-05-08T18:52:54.000Z | 2022-01-02T11:19:07.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from CTFd.models import Users, Challenges, Tags, Hints, Flags, Solves
from CTFd.utils import set_config
from tests.helpers import (
create_ctfd,
destroy_ctfd,
register_user,
login_as_user,
gen_challenge,
gen_flag,
gen_tag,
gen_hint,
gen_... | 36.652334 | 115 | 0.599497 |
e6a5bebbfea2faf769458a394b8eb1bed4f72fd3 | 2,144 | py | Python | twitchapi/apichecks.py | Amperture/twitch-sbc-integration | 71ee86688a7735e6bb3d18c9896c1b8c7a3662d7 | [
"MIT"
] | 10 | 2017-04-20T15:15:51.000Z | 2021-11-17T20:08:01.000Z | twitchapi/apichecks.py | Amperture/twitch-sbc-integration | 71ee86688a7735e6bb3d18c9896c1b8c7a3662d7 | [
"MIT"
] | null | null | null | twitchapi/apichecks.py | Amperture/twitch-sbc-integration | 71ee86688a7735e6bb3d18c9896c1b8c7a3662d7 | [
"MIT"
] | 2 | 2020-02-08T04:15:43.000Z | 2021-11-04T09:18:43.000Z | import ConfigParser
import Adafruit_BBIO.GPIO as GPIO
import requests
import time
#TEMPORARY CODE FOR TESTING
GREEN_LED = "P8_7"
RED_LED = "P8_8"
GPIO.setup("P8_7", GPIO.OUT)
GPIO.setup("P8_8", GPIO.OUT)
#END TEMP CODE
Config = ConfigParser.ConfigParser()
Config.read('../config.ini')
clientid = Config.get('API', 'c... | 26.469136 | 59 | 0.567631 |
3c27ac221cd28beafe6541cd5a78003bf0f9d106 | 4,485 | py | Python | tempest/api/messaging/test_messages.py | afaheem88/tempest_neutron | 20276dbee68087e576f4977633380fc6cd3fc1cd | [
"Apache-2.0"
] | null | null | null | tempest/api/messaging/test_messages.py | afaheem88/tempest_neutron | 20276dbee68087e576f4977633380fc6cd3fc1cd | [
"Apache-2.0"
] | null | null | null | tempest/api/messaging/test_messages.py | afaheem88/tempest_neutron | 20276dbee68087e576f4977633380fc6cd3fc1cd | [
"Apache-2.0"
] | 1 | 2018-10-09T06:32:04.000Z | 2018-10-09T06:32:04.000Z | # Copyright (c) 2014 Rackspace, 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 wr... | 36.463415 | 76 | 0.670234 |
08c0d7588aba97a0c00c1d428c21d72c2ebff3a8 | 951 | py | Python | final_project/machinetranslation/translator.py | akshaygaidhane/xzceb-flask_eng_fr | a6dad1d999106254537dbc97061c6ca5db7f2812 | [
"Apache-2.0"
] | null | null | null | final_project/machinetranslation/translator.py | akshaygaidhane/xzceb-flask_eng_fr | a6dad1d999106254537dbc97061c6ca5db7f2812 | [
"Apache-2.0"
] | null | null | null | final_project/machinetranslation/translator.py | akshaygaidhane/xzceb-flask_eng_fr | a6dad1d999106254537dbc97061c6ca5db7f2812 | [
"Apache-2.0"
] | null | null | null | import os
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from dotenv import load_dotenv
from ibm_watson import LanguageTranslatorV3
authenticator = IAMAuthenticator('DvqhFn36Zjo4WHj46w4vPsATPgfE_7UC1s8A9nYni4mV')
language_translator = LanguageTranslatorV3(
version='2021-11-21',
authenticator=au... | 45.285714 | 97 | 0.819138 |
ba10d08aae66b55933c8afa7e0b763f9cb838950 | 390 | py | Python | build/lib/DMRecall/evaluation/setup.py | busesese/DMRecall | 498c7a491c4e6374fcb47ac0f4527de5f540bbee | [
"MIT"
] | 9 | 2019-09-16T08:29:12.000Z | 2021-11-29T05:20:47.000Z | build/lib/DMRecall/evaluation/setup.py | busesese/DMRecall | 498c7a491c4e6374fcb47ac0f4527de5f540bbee | [
"MIT"
] | 1 | 2021-11-29T05:20:07.000Z | 2021-11-29T05:20:07.000Z | build/lib/DMRecall/evaluation/setup.py | busesese/DMRecall | 498c7a491c4e6374fcb47ac0f4527de5f540bbee | [
"MIT"
] | 4 | 2020-01-11T03:03:25.000Z | 2021-06-29T02:53:42.000Z | def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('evaluation', parent_package, top_path)
# submodules with build utilities
config.add_subpackage('measure')
return config
if __name__ == '__main__':
from numpy.distut... | 32.5 | 66 | 0.741026 |
6f7028b7c4536165bdcb3f5f03b23999503099e0 | 2,637 | py | Python | pynitrokey/nk3/utils.py | Nitrokey/nitro-python | 7264152564dcc427341b0e145ef94342136056ba | [
"Apache-2.0",
"MIT"
] | 4 | 2019-11-05T16:49:43.000Z | 2020-06-15T08:08:00.000Z | pynitrokey/nk3/utils.py | Nitrokey/nitro-python | 7264152564dcc427341b0e145ef94342136056ba | [
"Apache-2.0",
"MIT"
] | 16 | 2019-09-13T14:52:08.000Z | 2020-06-22T12:52:41.000Z | pynitrokey/nk3/utils.py | Nitrokey/nitro-python | 7264152564dcc427341b0e145ef94342136056ba | [
"Apache-2.0",
"MIT"
] | 2 | 2020-01-04T12:06:35.000Z | 2020-04-17T16:15:13.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2021 Nitrokey Developers
#
# Licensed under the Apache License, Version 2.0, <LICENSE-APACHE or
# http://apache.org/licenses/LICENSE-2.0> or the MIT license <LICENSE-MIT or
# http://opensource.org/licenses/MIT>, at your option. This file may not be
# copied, modified, or distribute... | 34.697368 | 95 | 0.638604 |
a78b680b8f4d7f202bf584ecf580733913162fb4 | 2,723 | py | Python | euca2ools/commands/autoscaling/describenotificationconfigurations.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 30 | 2015-02-10T05:47:38.000Z | 2022-01-20T08:48:43.000Z | euca2ools/commands/autoscaling/describenotificationconfigurations.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 16 | 2015-01-08T23:24:34.000Z | 2018-07-18T07:15:40.000Z | euca2ools/commands/autoscaling/describenotificationconfigurations.py | salewski/euca2ools | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | [
"BSD-2-Clause"
] | 19 | 2015-05-07T05:34:42.000Z | 2020-12-13T10:50:14.000Z | # Copyright (c) 2013-2016 Hewlett Packard Enterprise Development LP
#
# Redistribution and use of this software 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,
# thi... | 45.383333 | 77 | 0.71502 |
fafd0bf1c41488cf97d7660053e8fb6bb2eafe27 | 2,293 | py | Python | tests/nets/wgan_gp/test_wgan_gp_64.py | alexmlamb/mimicry | be030fb24a79c9bd50843d188d930c01e2260f45 | [
"MIT"
] | 1 | 2020-04-07T05:28:36.000Z | 2020-04-07T05:28:36.000Z | tests/nets/wgan_gp/test_wgan_gp_64.py | Gyanachand1/mimicry | 4e0fd46c2c5e97c319273a03374bbfa730071711 | [
"MIT"
] | null | null | null | tests/nets/wgan_gp/test_wgan_gp_64.py | Gyanachand1/mimicry | 4e0fd46c2c5e97c319273a03374bbfa730071711 | [
"MIT"
] | null | null | null | """
Test functions for WGAN-GP for image size 64.
"""
import torch
import torch.optim as optim
from torch_mimicry.nets.wgan_gp.wgan_gp_64 import WGANGPGenerator64, WGANGPDiscriminator64
from torch_mimicry.training import metric_log
from torch_mimicry.utils import common
class TestWGANGP64:
def setup(self):
... | 30.986486 | 90 | 0.558657 |
b2e6b156dee68f6bb525220bdb05fb5407d6b3bd | 4,115 | py | Python | scripts/generate.py | MrCapone/bully_vita | 9ab7c69ed24d0a3fba4b8ae3664baf33962a53aa | [
"MIT"
] | 168 | 2021-06-05T13:02:51.000Z | 2022-03-31T22:27:48.000Z | scripts/generate.py | MrCapone/bully_vita | 9ab7c69ed24d0a3fba4b8ae3664baf33962a53aa | [
"MIT"
] | 3 | 2021-06-05T18:40:24.000Z | 2021-07-24T23:55:37.000Z | scripts/generate.py | MrCapone/bully_vita | 9ab7c69ed24d0a3fba4b8ae3664baf33962a53aa | [
"MIT"
] | 15 | 2021-06-06T00:44:18.000Z | 2022-03-19T03:21:03.000Z | #!/usr/bin/env python2
from sys import argv, exit
import re
import struct
import os
HLSL_COMPILER = 'HLSLCompiler.exe'
PSP2CGC = 'psp2cgc.exe'
SHADER_MARKER = '//######################_==_YOYO_SHADER_MARKER_==_######################@~\n'
VARYING_SEARCH = '^varying .* (vec[0-4]) (.*);$'
CG_SUB_DICT = {
'0.69999999... | 28.184932 | 94 | 0.553827 |
6d19946eab03cf9c44a4e64a1c046332ec28badf | 2,524 | py | Python | src/measure.py | tavvar/raspiapc | 54390db4396b9ce2d2c0693f6c2053665d2b5077 | [
"MIT"
] | null | null | null | src/measure.py | tavvar/raspiapc | 54390db4396b9ce2d2c0693f6c2053665d2b5077 | [
"MIT"
] | null | null | null | src/measure.py | tavvar/raspiapc | 54390db4396b9ce2d2c0693f6c2053665d2b5077 | [
"MIT"
] | null | null | null | import time
import json
import os
class Measure:
'Makes a File with Timestamp as name and fills it with Json'
filename = ""
def __init__(self, filename = "queue.json"):
self.filename = filename
def initFile(self):
try:
fo = open(self.filename, "r")
fo.c... | 28.359551 | 127 | 0.500792 |
12593b71a27e91787c309737883f63ba73b91336 | 4,490 | py | Python | tests/tests/test_inventory.py | merlin-northern/integration | 8496f14d27b7f78906c8c79c0edfccb7b111c339 | [
"Apache-2.0"
] | null | null | null | tests/tests/test_inventory.py | merlin-northern/integration | 8496f14d27b7f78906c8c79c0edfccb7b111c339 | [
"Apache-2.0"
] | null | null | null | tests/tests/test_inventory.py | merlin-northern/integration | 8496f14d27b7f78906c8c79c0edfccb7b111c339 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2017 Northern.tech AS
#
# 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 a... | 42.761905 | 136 | 0.509354 |
fc843445bddaa6dfea72170e90cb29e707953ec1 | 1,597 | py | Python | tests/pytests/integration/states/test_cron.py | avkvl/salt | d906b2ec9baa1f0c5e61a69c954b62f9b9f11381 | [
"Apache-2.0"
] | 1 | 2021-02-26T07:37:19.000Z | 2021-02-26T07:37:19.000Z | tests/pytests/integration/states/test_cron.py | avkvl/salt | d906b2ec9baa1f0c5e61a69c954b62f9b9f11381 | [
"Apache-2.0"
] | null | null | null | tests/pytests/integration/states/test_cron.py | avkvl/salt | d906b2ec9baa1f0c5e61a69c954b62f9b9f11381 | [
"Apache-2.0"
] | null | null | null | """
Tests for the cron state
"""
import logging
import subprocess
import pytest
import salt.utils.platform
from tests.support.helpers import slowTest
log = logging.getLogger(__name__)
@pytest.fixture
def cron_account():
with pytest.helpers.create_account() as system_account:
try:
yield syst... | 30.711538 | 132 | 0.650595 |
71ef2a929d449572e535ab6e34882e45242c6a07 | 2,194 | py | Python | sorting-numbers/models/transformer_masking/utils.py | AndreMaz/dnn-attention | 86e834b90bd419646fd00c6ff4df910ab7874910 | [
"MIT"
] | 1 | 2020-03-11T22:52:19.000Z | 2020-03-11T22:52:19.000Z | sorting-numbers/models/transformer_masking/utils.py | AndreMaz/dnn-attention | 86e834b90bd419646fd00c6ff4df910ab7874910 | [
"MIT"
] | 3 | 2021-05-21T16:15:18.000Z | 2022-02-10T01:11:23.000Z | sorting-numbers/models/transformer_masking/utils.py | AndreMaz/dnn-attention | 86e834b90bd419646fd00c6ff4df910ab7874910 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
def point_wise_feed_forward_network(d_model, dff):
return tf.keras.Sequential([
tf.keras.layers.Dense(dff, activation='relu'), # (batch_size, seq_len, dff)
tf.keras.layers.Dense(d_model) # (batch_size, seq_len, d_model)
])
def get_angles(pos, i, d_model):
... | 34.28125 | 100 | 0.66454 |
2504a7d150cff423f134fea0777fbc8ce7c7aaf6 | 4,680 | py | Python | src/python/bot/fuzzers/utils.py | sanketsaurav/clusterfuzz | 9f7efba7781614d50cdc6ab136b9bcf19607731c | [
"Apache-2.0"
] | 1 | 2019-04-09T06:40:55.000Z | 2019-04-09T06:40:55.000Z | src/python/bot/fuzzers/utils.py | Delaney6/clusterfuzz | 9eeb08a85869b32733dd54c69b098688ff3b1bf5 | [
"Apache-2.0"
] | null | null | null | src/python/bot/fuzzers/utils.py | Delaney6/clusterfuzz | 9eeb08a85869b32733dd54c69b098688ff3b1bf5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.836735 | 80 | 0.743162 |
580bf38a0ba67cccffe73e0361c287ecb401425b | 9,522 | py | Python | test/test_linear_interpolation.py | crispitagorico/torchcde | fcd85a3795edd6872c443425c690f1696584cba6 | [
"Apache-2.0"
] | 1 | 2021-04-24T05:26:49.000Z | 2021-04-24T05:26:49.000Z | test/test_linear_interpolation.py | crispitagorico/torchcde | fcd85a3795edd6872c443425c690f1696584cba6 | [
"Apache-2.0"
] | null | null | null | test/test_linear_interpolation.py | crispitagorico/torchcde | fcd85a3795edd6872c443425c690f1696584cba6 | [
"Apache-2.0"
] | null | null | null | import torch
import torchcde
import pytest
def test_random():
def _points():
yield 2
yield 3
yield 100
for _ in range(10):
yield torch.randint(low=2, high=100, size=(1,)).item()
for reparameterise in ('none', 'bump'):
for drop in (False, True):
... | 50.380952 | 119 | 0.530561 |
e8865db321795a7e7b8152ca193f2baf81ddba6f | 3,127 | py | Python | core/images.py | Varkalas/Tower-of-Hero | 8b58534f9b2d214b0375bf5e367a0149045850df | [
"MIT"
] | 1 | 2017-11-18T14:00:08.000Z | 2017-11-18T14:00:08.000Z | core/images.py | Varkalas/Tower-of-Hero | 8b58534f9b2d214b0375bf5e367a0149045850df | [
"MIT"
] | null | null | null | core/images.py | Varkalas/Tower-of-Hero | 8b58534f9b2d214b0375bf5e367a0149045850df | [
"MIT"
] | null | null | null | from definitions import ROOT_DIR
from tkinter import messagebox
from cv2 import imread
IMAGE_PATH = ROOT_DIR + "\\images\\"
def read_image(image_name):
full_name = IMAGE_PATH + image_name
the_image = imread(full_name)
if the_image is None:
messagebox.showerror("Incorrect File Name", "{} could no... | 41.693333 | 94 | 0.801087 |
1fa6f37b7133b7dc605aecc99f7fd5d94e486d52 | 236 | py | Python | flask_restplus_demo/api/v1/__init__.py | deluxebrain/flask_restplus_demo | 3bec957344fbbb300fcf009687422ddded4d9ecf | [
"MIT"
] | null | null | null | flask_restplus_demo/api/v1/__init__.py | deluxebrain/flask_restplus_demo | 3bec957344fbbb300fcf009687422ddded4d9ecf | [
"MIT"
] | null | null | null | flask_restplus_demo/api/v1/__init__.py | deluxebrain/flask_restplus_demo | 3bec957344fbbb300fcf009687422ddded4d9ecf | [
"MIT"
] | null | null | null | import logging
from flask import Blueprint
from flask_restplus_demo.api.v1.api import api
log = logging.getLogger(__name__)
blueprint = Blueprint('api_v1', __name__, url_prefix="/api/v1")
api.init_app(blueprint)
from . import users
| 19.666667 | 63 | 0.788136 |
d5dc033e57f6ec28857d586834c44ffae3c6d7b0 | 222 | py | Python | setup.py | jaschn/dtu_mlops_mnist | 54b5344bde1131463d6783bbfe61bdc70db1c1be | [
"MIT"
] | null | null | null | setup.py | jaschn/dtu_mlops_mnist | 54b5344bde1131463d6783bbfe61bdc70db1c1be | [
"MIT"
] | null | null | null | setup.py | jaschn/dtu_mlops_mnist | 54b5344bde1131463d6783bbfe61bdc70db1c1be | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Exercise project for the DTU MLOPS course',
author='jaschn',
license='MIT',
)
| 20.181818 | 60 | 0.671171 |
287ae8d1fffdf614242883c0ea09b99bbfee6b55 | 4,956 | py | Python | linaro/staticlink/script/regrex.py | dalvikfrank/docs | 35ace4c90cef8b0ac82e18d2b9ac078131f61b93 | [
"Apache-2.0"
] | null | null | null | linaro/staticlink/script/regrex.py | dalvikfrank/docs | 35ace4c90cef8b0ac82e18d2b9ac078131f61b93 | [
"Apache-2.0"
] | null | null | null | linaro/staticlink/script/regrex.py | dalvikfrank/docs | 35ace4c90cef8b0ac82e18d2b9ac078131f61b93 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import urllib2
import re
import os
import sys
import commands
import subprocess
import shlex
import string
import getopt
DELTTE_TEST_CASE = True # True: allCount all count except test cases Flase: allCount including test cases
def search_opt(android_dir, set_file, out_dir):
if len(android_dir)... | 32.392157 | 167 | 0.512107 |
d9f0bc1e538b30636ef46195a3340c13181f17f8 | 793 | py | Python | theano/overfeat.py | s0nghuiming/convnet-benchmarks | 5b91b6966714e8358292ae440d807c6d9d2cf7fe | [
"MIT"
] | 2,829 | 2015-01-02T19:34:27.000Z | 2022-02-22T03:42:06.000Z | theano/overfeat.py | Reddmist/convnet-benchmarks | b458aab61c0ac2257c0990119b5de15c1e886f02 | [
"MIT"
] | 90 | 2015-02-18T21:56:21.000Z | 2021-02-06T22:20:30.000Z | theano/overfeat.py | Reddmist/convnet-benchmarks | b458aab61c0ac2257c0990119b5de15c1e886f02 | [
"MIT"
] | 644 | 2015-01-02T19:31:23.000Z | 2022-01-07T23:53:45.000Z | import theano.tensor as T
from lasagne.layers import InputLayer, DenseLayer, Conv2DLayer,\
MaxPool2DLayer
image_sz = 231
def build_model(batch_size=128):
x = T.tensor4('input')
layer = InputLayer((batch_size, 3, image_sz, image_sz), input_var=x)
layer = Conv2DLayer(layer, 96, 11, stride=4, pad='vali... | 28.321429 | 72 | 0.679697 |
00b1fa74d98ff8ab7d4bbc1bb0c0948401e27feb | 2,099 | py | Python | 2020/23/solution.py | Den4200/advent-of-code | 87117fde308e9907da9adc77d55a10a75a97ee99 | [
"MIT"
] | 5 | 2021-12-20T02:30:15.000Z | 2021-12-24T15:52:50.000Z | 2020/23/solution.py | Den4200/advent-of-code-2020 | 87117fde308e9907da9adc77d55a10a75a97ee99 | [
"MIT"
] | null | null | null | 2020/23/solution.py | Den4200/advent-of-code-2020 | 87117fde308e9907da9adc77d55a10a75a97ee99 | [
"MIT"
] | null | null | null | from collections import deque
from itertools import islice
class Node:
def __init__(self, value):
self.value = value
self.next = None
def parse_data():
with open('2020/23/input.txt') as f:
data = f.read()
return [int(num) for num in data.strip()]
def part_one(data):
cups ... | 22.569892 | 74 | 0.553121 |
e34e4ab3227982b911ed69a7c236bc914f198ae8 | 11,290 | py | Python | learntools/nlp/ex2.py | roannav/learntools | 355a5df6a66562de62254b723da1a9389b9acc49 | [
"Apache-2.0"
] | null | null | null | learntools/nlp/ex2.py | roannav/learntools | 355a5df6a66562de62254b723da1a9389b9acc49 | [
"Apache-2.0"
] | null | null | null | learntools/nlp/ex2.py | roannav/learntools | 355a5df6a66562de62254b723da1a9389b9acc49 | [
"Apache-2.0"
] | null | null | null | import random
import numpy as np
import pandas as pd
import spacy
from spacy.util import minibatch
import textwrap
from learntools.core import *
def load_data(csv_file, split=0.8):
data = pd.read_csv(csv_file)
# Shuffle data
train_data = data.sample(frac=1, random_state=7)
texts = train_dat... | 42.284644 | 142 | 0.635252 |
d0759d2b514c5838ab506a2649bf9f56a9f0253b | 93 | py | Python | Ejercicio5.py | mariagarciau/Ejercicios-Analisis | 54be0f131b59b9cdafbac5f42711fc282d0de21d | [
"Apache-2.0"
] | null | null | null | Ejercicio5.py | mariagarciau/Ejercicios-Analisis | 54be0f131b59b9cdafbac5f42711fc282d0de21d | [
"Apache-2.0"
] | null | null | null | Ejercicio5.py | mariagarciau/Ejercicios-Analisis | 54be0f131b59b9cdafbac5f42711fc282d0de21d | [
"Apache-2.0"
] | null | null | null | """¿Puede usted mejorar el algoritmo del problema anterior para que sea lineal? Explique.
""" | 46.5 | 89 | 0.763441 |
0bb98fd34f7629b4ac8af331ad2b5bf469490d7c | 5,381 | py | Python | chia/wallet/cc_wallet/cc_utils_test.py | stablyio/chia-blockchain | b332dd71b8cfbcd7c3dc552defdea5dda69cf34a | [
"Apache-2.0"
] | null | null | null | chia/wallet/cc_wallet/cc_utils_test.py | stablyio/chia-blockchain | b332dd71b8cfbcd7c3dc552defdea5dda69cf34a | [
"Apache-2.0"
] | null | null | null | chia/wallet/cc_wallet/cc_utils_test.py | stablyio/chia-blockchain | b332dd71b8cfbcd7c3dc552defdea5dda69cf34a | [
"Apache-2.0"
] | null | null | null |
from chia.rpc.cat_utils import convert_to_coin_spend
from chia.wallet.cc_wallet.cc_utils import get_parent_cat_coin_spend_lineage_proof
class Test_get_parent_cat_coin_spend_lineage_proof:
def test_valid_case(self):
parent_coin_spend = convert_to_coin_spend(
raw_coin_spend={
"... | 199.296296 | 3,650 | 0.941089 |
b0c2d33e1d2867fc6681ecc67d0f762b13ca7a6c | 136,839 | py | Python | test/api/test_workflows.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | null | null | null | test/api/test_workflows.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | null | null | null | test/api/test_workflows.py | innovate-invent/galaxy | 10aa953a40e171246bdd1804c74e8019da8e8200 | [
"CC-BY-3.0"
] | null | null | null | from __future__ import print_function
import json
import time
from json import dumps
from uuid import uuid4
from requests import delete, get, put
from base import api # noqa: I100,I202
from base import rules_test_data # noqa: I100
from base.populators import ( # noqa: I100
DatasetCollectionPopulator,
Data... | 41.341088 | 239 | 0.67331 |
8cb9df30a85d28627f6b87a83ba0a89908a7485d | 669 | py | Python | src/sponsors/migrations/0006_auto_20170715_1110.py | pwelzel/bornhack-website | af794e6a2fba06e09626259c7768feb30ff394be | [
"BSD-3-Clause"
] | null | null | null | src/sponsors/migrations/0006_auto_20170715_1110.py | pwelzel/bornhack-website | af794e6a2fba06e09626259c7768feb30ff394be | [
"BSD-3-Clause"
] | null | null | null | src/sponsors/migrations/0006_auto_20170715_1110.py | pwelzel/bornhack-website | af794e6a2fba06e09626259c7768feb30ff394be | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-07-15 09:10
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sponsors', '0005_sponsor_url'),
]
operations = [
migrations.AlterField(
... | 25.730769 | 93 | 0.596413 |
175c7aa57aae068adbebbb4c2d997a134b765a4c | 1,960 | py | Python | tests/algorithms/test_merge.py | Hekstra-Lab/reciprocalspaceship | 48b72ad70608fdbdfef31f6b38aac5873abc0dba | [
"MIT"
] | 22 | 2020-07-10T18:13:10.000Z | 2022-03-04T16:51:00.000Z | tests/algorithms/test_merge.py | Hekstra-Lab/reciprocalspaceship | 48b72ad70608fdbdfef31f6b38aac5873abc0dba | [
"MIT"
] | 109 | 2020-07-03T10:07:18.000Z | 2022-03-28T20:49:48.000Z | tests/algorithms/test_merge.py | Hekstra-Lab/reciprocalspaceship | 48b72ad70608fdbdfef31f6b38aac5873abc0dba | [
"MIT"
] | 10 | 2020-07-03T10:51:21.000Z | 2021-08-23T19:05:24.000Z | import numpy as np
import pytest
import reciprocalspaceship as rs
def test_merge_valueerror(hewl_merged):
"""
Confirm rs.algorithms.merge() raises ValueError when invoked with
merged DataSet
"""
with pytest.raises(ValueError):
merged = rs.algorithms.merge(hewl_merged)
@pytest.mark.param... | 30.625 | 85 | 0.628061 |
125a66a9ecb27cf8cdb0c9018cfd76e12f81dbab | 2,570 | py | Python | localflavor/lv/forms.py | torakses/django-localflavor | 17ca87095d6f8c3f3888016085a2edb5951889f4 | [
"BSD-3-Clause"
] | 1 | 2018-11-28T22:08:17.000Z | 2018-11-28T22:08:17.000Z | localflavor/lv/forms.py | torakses/django-localflavor | 17ca87095d6f8c3f3888016085a2edb5951889f4 | [
"BSD-3-Clause"
] | null | null | null | localflavor/lv/forms.py | torakses/django-localflavor | 17ca87095d6f8c3f3888016085a2edb5951889f4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
import re
from datetime import date
from django.core.validators import EMPTY_VALUES
from django.forms import ValidationError
from django.forms.fields import Field, Select
from django.utils.translation import ugettext_lazy as _
from .lv_choices import MUNICIPALITY_CHOICES
zipc... | 29.883721 | 87 | 0.6393 |
d456548c92e194f5afa28146c0413b2c43fd65ba | 1,253 | py | Python | src/spaceone/core/skeleton/conf/global_conf.py | jihyungSong/python-core | 898ead301363d3e599ecd645b73071e639f886b0 | [
"Apache-2.0"
] | 14 | 2020-06-01T08:17:43.000Z | 2022-01-13T22:37:50.000Z | src/spaceone/core/skeleton/conf/global_conf.py | jihyungSong/python-core | 898ead301363d3e599ecd645b73071e639f886b0 | [
"Apache-2.0"
] | 7 | 2020-08-11T23:05:59.000Z | 2022-01-12T05:08:49.000Z | src/spaceone/core/skeleton/conf/global_conf.py | jihyungSong/python-core | 898ead301363d3e599ecd645b73071e639f886b0 | [
"Apache-2.0"
] | 11 | 2020-06-01T08:17:49.000Z | 2021-11-25T08:26:37.000Z | # Database Settings
DATABASES = {
'default': {
# MongoDB Example
# 'host': '<host>',
# 'port': 27017,
# 'db': '<db>',
# 'username': '<user>',
# 'password': '<password>'
},
# 'local': {
# 'backend': 'spaceone.core.cache.local_cache.LocalCache',
# ... | 22.375 | 98 | 0.524342 |
6aa35b6265cf55bdcc08534087fa8d96b3896661 | 17,523 | py | Python | umap/utils.py | cjweir/umap | 60d6b7be30e5d9c40746dcf6052bec09478942b6 | [
"BSD-3-Clause"
] | 16 | 2021-01-11T19:39:15.000Z | 2022-01-26T14:39:00.000Z | umap/utils.py | cjweir/umap | 60d6b7be30e5d9c40746dcf6052bec09478942b6 | [
"BSD-3-Clause"
] | 3 | 2021-05-11T10:30:43.000Z | 2021-05-21T07:24:47.000Z | umap/utils.py | cjweir/umap | 60d6b7be30e5d9c40746dcf6052bec09478942b6 | [
"BSD-3-Clause"
] | 2 | 2021-05-13T12:24:34.000Z | 2021-06-08T14:03:07.000Z | # Author: Leland McInnes <leland.mcinnes@gmail.com>
#
# License: BSD 3 clause
import time
import numpy as np
import numba
import scipy.sparse
@numba.njit(parallel=True)
def fast_knn_indices(X, n_neighbors):
"""A fast computation of knn indices.
Parameters
----------
X: array of shape (n_samples, n_... | 29.107973 | 88 | 0.605319 |
0c1522f39e7fe5832087109f28316a811f154835 | 1,181 | py | Python | tests/_animation/test_animation_scale_y_from_point_interface.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | 16 | 2021-04-16T02:01:29.000Z | 2022-01-01T08:53:49.000Z | tests/_animation/test_animation_scale_y_from_point_interface.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | 613 | 2021-03-24T03:37:38.000Z | 2022-03-26T10:58:37.000Z | tests/_animation/test_animation_scale_y_from_point_interface.py | simon-ritchie/apyscript | c319f8ab2f1f5f7fad8d2a8b4fc06e7195476279 | [
"MIT"
] | 2 | 2021-06-20T07:32:58.000Z | 2021-12-26T08:22:11.000Z | from random import randint
from retrying import retry
import apysc as ap
from apysc._display.scale_y_from_point_interface import \
ScaleYFromPointInterface
from tests.testing_helper import assert_attrs
class TestAnimationScaleYFromPointInterface:
@retry(stop_max_attempt_number=15, wait_fixed=ra... | 33.742857 | 73 | 0.607113 |
20d488c6cbff6f256c323c821c06a049aacd0eda | 2,327 | py | Python | python/fdfault/__init__.py | egdaub/fdfault | ec066f032ba109843164429aa7d9e7352485d735 | [
"MIT"
] | 12 | 2017-10-05T22:04:40.000Z | 2020-08-31T08:32:17.000Z | python/fdfault/__init__.py | jhsa26/fdfault | ec066f032ba109843164429aa7d9e7352485d735 | [
"MIT"
] | 3 | 2020-05-06T16:48:32.000Z | 2020-09-18T11:41:41.000Z | python/fdfault/__init__.py | jhsa26/fdfault | ec066f032ba109843164429aa7d9e7352485d735 | [
"MIT"
] | 12 | 2017-03-24T19:15:27.000Z | 2020-08-31T08:32:18.000Z | """
``fdfault`` is a python module for setting up dynamic rupture problems for use with the C++ code.
================
Overview
================
The Python module closely resembles the structure of the text input files and hence the structure
of the C++ code, and has an interface for specifying all simulation paramet... | 49.510638 | 109 | 0.766652 |
17cdc3e85abd4ec585025a6042beba51526a947b | 2,335 | py | Python | discordware/_vendors/hype/style.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 13 | 2021-07-31T12:07:06.000Z | 2022-03-24T15:00:50.000Z | discordware/_vendors/hype/style.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 2 | 2021-08-02T14:04:58.000Z | 2021-09-06T09:35:20.000Z | discordware/_vendors/hype/style.py | znqi/discordware | e456bf7b0314ef8f29fabb9fa69f8c979f34d655 | [
"MIT"
] | 3 | 2021-08-07T13:23:54.000Z | 2022-01-24T13:23:08.000Z | # Copyright Jonathan Hartley 2013. BSD 3-Clause license, see LICENSE file.
"""
This module generates ANSI character codes to printing colors to terminals.
See: http://en.wikipedia.org/wiki/ANSI_escape_code
"""
CSI = "\033["
OSC = "\033]"
BEL = "\a"
def code_to_chars(code):
return CSI + str(code) + "m"
def set_... | 20.663717 | 78 | 0.605996 |
416ed0c9c7517db2e295f60fe34a1f4c4c84b82d | 928,247 | py | Python | USB/python/usb_2600_rbf.py | wjasper/Linix_Drivers | 9c5443f3c9d249f341b6b8580929f8cdbdba4079 | [
"JasPer-2.0"
] | 100 | 2016-11-08T15:41:43.000Z | 2022-02-20T19:37:32.000Z | USB/python/usb_2600_rbf.py | wjasper/Linix_Drivers | 9c5443f3c9d249f341b6b8580929f8cdbdba4079 | [
"JasPer-2.0"
] | 37 | 2017-01-05T17:48:14.000Z | 2022-01-06T17:43:27.000Z | USB/python/usb_2600_rbf.py | wjasper/Linix_Drivers | 9c5443f3c9d249f341b6b8580929f8cdbdba4079 | [
"JasPer-2.0"
] | 65 | 2016-12-20T07:03:44.000Z | 2022-03-14T21:48:35.000Z | FPGA_data = (
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff,
0x6a, 0xde, 0xff, 0x7f, 0x00, 0x2c, 0xe7, 0x0f,
0x00, 0x6a, 0xde, 0xff, 0x7f, 0x00, 0x2c, 0xe7,
0x0f, 0x00, 0x6a, 0xde, 0xff, 0x7f, 0x00, 0x2c,
0xe7, 0x0f, 0x00,... | 56.989624 | 56 | 0.561403 |
92e6d87a6689d2aeaec1a1b4f2438825d883720c | 4,163 | py | Python | Assignment-2/dbscan.py | omkargavhane/CS564-ML | 3bc4a3557e5c18501d7e7a48f26429fe35c55893 | [
"MIT"
] | null | null | null | Assignment-2/dbscan.py | omkargavhane/CS564-ML | 3bc4a3557e5c18501d7e7a48f26429fe35c55893 | [
"MIT"
] | null | null | null | Assignment-2/dbscan.py | omkargavhane/CS564-ML | 3bc4a3557e5c18501d7e7a48f26429fe35c55893 | [
"MIT"
] | null | null | null | import arff,copy
from sklearn import preprocessing
import numpy as np
#{0:'core',1:'outlier',2:'boundary'}
def minkowski_metric(v1,v2,p=1):
'''Fucntion to calculate distance between two vectors depending on the given value of p'''
if len(v1)==len(v2):
sum=0
for i in range(len(v1)):
... | 38.906542 | 150 | 0.589479 |
87605068795ba54b50eacdf3cbe7ba06be9048de | 34,638 | py | Python | scikits/statsmodels/tsa/ar_model.py | matthew-brett/statsmodels | 915c9dc2d762c5592ac17a7cf5f1cc957fcbde1c | [
"BSD-3-Clause"
] | null | null | null | scikits/statsmodels/tsa/ar_model.py | matthew-brett/statsmodels | 915c9dc2d762c5592ac17a7cf5f1cc957fcbde1c | [
"BSD-3-Clause"
] | null | null | null | scikits/statsmodels/tsa/ar_model.py | matthew-brett/statsmodels | 915c9dc2d762c5592ac17a7cf5f1cc957fcbde1c | [
"BSD-3-Clause"
] | null | null | null | """
This is the VAR class refactored from pymaclab.
"""
from __future__ import division
import numpy as np
from numpy import (dot, identity, atleast_2d, atleast_1d, zeros)
from numpy.linalg import inv
from scipy import optimize
from scipy.stats import t, norm, ss as sumofsq
from scikits.statsmodels.regression.linear_mo... | 37.773173 | 296 | 0.550609 |
e7062e6b82f071110bbbea01d30dd8d45f41e7cf | 6,797 | py | Python | scripts/gen_d.py | stbachmann/soloud | d73f18b7b2855c9a8ed6d643d36ec6407f5e3ed4 | [
"Libpng",
"Zlib"
] | 1,319 | 2015-01-07T20:13:41.000Z | 2022-03-30T14:07:11.000Z | scripts/gen_d.py | stbachmann/soloud | d73f18b7b2855c9a8ed6d643d36ec6407f5e3ed4 | [
"Libpng",
"Zlib"
] | 250 | 2015-02-16T21:06:34.000Z | 2022-02-23T21:23:10.000Z | extern/SoLoud/scripts/gen_d.py | YamiOG/Chassis2D | 71c02d8c3a522694b7f4c6fa54d2a6ac5c9c14e0 | [
"MIT"
] | 213 | 2015-02-28T18:18:29.000Z | 2022-03-18T09:12:06.000Z | #!/usr/bin/env python3
""" SoLoud D wrapper generator """
import soloud_codegen
fo = open("../glue/soloud.d", "w")
C_TO_D_TYPES = {
"string":"string",
"int":"int",
"void":"void",
"const char *":"const(char)*",
"char *":"char*",
"unsigned int":"uint",
"float":"float",
"double":"double... | 32.21327 | 102 | 0.470502 |
e635bbefb12b56734131362c979d859345c62259 | 2,320 | py | Python | model/taskinput.py | yxue3357/TinyM_ER | c7809a39bfdfe9baa00a5ad5be99f0270c73b4ea | [
"Apache-2.0",
"MIT"
] | 131 | 2019-03-04T16:34:29.000Z | 2022-03-07T11:04:38.000Z | model/taskinput.py | yxue3357/TinyM_ER | c7809a39bfdfe9baa00a5ad5be99f0270c73b4ea | [
"Apache-2.0",
"MIT"
] | 4 | 2020-02-12T11:46:09.000Z | 2021-06-25T13:25:48.000Z | model/taskinput.py | yxue3357/TinyM_ER | c7809a39bfdfe9baa00a5ad5be99f0270c73b4ea | [
"Apache-2.0",
"MIT"
] | 34 | 2019-05-17T03:34:37.000Z | 2022-03-08T18:37:45.000Z | ### Code for this basline is copied directly from multimodal.py in https://github.com/facebookresearch/GradientEpisodicMemory
# Copyright 2019-present, IBM Research
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import t... | 29.367089 | 125 | 0.556034 |
69c48a8b500906208871f8df76f1769e134d218a | 1,293 | py | Python | pinball/master/snapshot.py | DotModus/pinball | deeb4ec20bbd000ad44f7b44e6a7c0fa900dbbea | [
"Apache-2.0"
] | 1,143 | 2015-03-06T22:10:53.000Z | 2022-02-23T21:16:47.000Z | pinball/master/snapshot.py | DotModus/pinball | deeb4ec20bbd000ad44f7b44e6a7c0fa900dbbea | [
"Apache-2.0"
] | 70 | 2015-03-06T00:44:39.000Z | 2019-05-01T13:15:10.000Z | pinball/master/snapshot.py | Betterment/pinball | 11120b54fcc25b2857631a5de65a1195ffcffb5c | [
"Apache-2.0"
] | 169 | 2015-03-09T21:27:12.000Z | 2022-03-19T08:09:13.000Z | # Copyright 2015, Pinterest, 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 writ... | 31.536585 | 79 | 0.699149 |
8377bd2844e0496c66672b881d840bfe6a35d3ee | 2,973 | py | Python | hw_7_DNA.py | Katy-Scha/AdvancedPython2021 | 260512928fe958c0bb1164ad3357dfbf38f163ef | [
"MIT"
] | null | null | null | hw_7_DNA.py | Katy-Scha/AdvancedPython2021 | 260512928fe958c0bb1164ad3357dfbf38f163ef | [
"MIT"
] | 2 | 2021-09-10T07:57:55.000Z | 2021-10-05T22:48:12.000Z | hw_7_DNA.py | Katy-Scha/AdvancedPython2021 | 260512928fe958c0bb1164ad3357dfbf38f163ef | [
"MIT"
] | null | null | null | import random
class Chain:
def __init__(self, seq):
self.seq = seq
#self._dict = None
def correct(self, seq): #отправляю seq отдельно, ибо хочу проверять корректность до создания полноценного объекта
if seq is None:
return True
for c in seq:
if no... | 33.033333 | 118 | 0.543895 |
a42ba0b17759a2d3c485dbfd21c8faf330ff73fe | 259 | py | Python | website/apps/ip_blocking/view_guards.py | bopopescu/drawquest-web | 8d8f9149b6efeb65202809a5f8916386f58a1b3b | [
"BSD-3-Clause"
] | 61 | 2015-11-10T17:13:46.000Z | 2021-08-06T17:58:30.000Z | website/apps/ip_blocking/view_guards.py | bopopescu/drawquest-web | 8d8f9149b6efeb65202809a5f8916386f58a1b3b | [
"BSD-3-Clause"
] | 13 | 2015-11-11T07:49:41.000Z | 2021-06-09T03:45:31.000Z | website/apps/ip_blocking/view_guards.py | bopopescu/drawquest-web | 8d8f9149b6efeb65202809a5f8916386f58a1b3b | [
"BSD-3-Clause"
] | 18 | 2015-11-11T04:50:04.000Z | 2021-08-20T00:57:11.000Z | from django.core.exceptions import PermissionDenied
from apps.ip_blocking.models import is_ip_blocked
from canvas.view_guards import view_guard
@view_guard
def require_unblocked_ip(request):
if is_ip_blocked(request):
raise PermissionDenied()
| 21.583333 | 51 | 0.810811 |
7e2b66bc49eb83605a06d4e27f8b6173f3b50a44 | 765 | py | Python | importfrompdf.py | nmontesoro/Tarjetas_v4 | 5d10555d9050cb0dfa32ceda5549fe9029c889dd | [
"MIT"
] | null | null | null | importfrompdf.py | nmontesoro/Tarjetas_v4 | 5d10555d9050cb0dfa32ceda5549fe9029c889dd | [
"MIT"
] | null | null | null | importfrompdf.py | nmontesoro/Tarjetas_v4 | 5d10555d9050cb0dfa32ceda5549fe9029c889dd | [
"MIT"
] | null | null | null | from pdfparser import PdfParser
import glob
import sqlite3 as sql
db = sql.connect('data.db')
for file in glob.glob('pdf/*.pdf'):
print('Procesando %s' % (file))
p = PdfParser(file)
liqs = p.get_liquidaciones()
sql_insert_str = ('INSERT INTO operaciones (sucursal, fpago, liqno, lote, '
+ 'aran... | 31.875 | 79 | 0.529412 |
88dcc58a68873f369dd8e03da32430dc652377b8 | 3,105 | py | Python | helloname/settings.py | riverstation/cnkiproject | e0f6c85230c7d66dc910356cb6bffb6ff5b4cc71 | [
"Apache-2.0"
] | null | null | null | helloname/settings.py | riverstation/cnkiproject | e0f6c85230c7d66dc910356cb6bffb6ff5b4cc71 | [
"Apache-2.0"
] | null | null | null | helloname/settings.py | riverstation/cnkiproject | e0f6c85230c7d66dc910356cb6bffb6ff5b4cc71 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Scrapy settings for helloname project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/latest/top... | 34.120879 | 102 | 0.774879 |
3a273998f3a9ffe66d3b7af56388ceed6e6f91b8 | 34,902 | py | Python | scripts/build_tools.py | shangliyun/lu_xing_xiang_one_os | 02b3900bbc2303291ad6b16d59f50df786af4e27 | [
"Apache-2.0"
] | 1 | 2022-03-26T09:59:37.000Z | 2022-03-26T09:59:37.000Z | scripts/build_tools.py | shangliyun/lu_xing_xiang_one_os | 02b3900bbc2303291ad6b16d59f50df786af4e27 | [
"Apache-2.0"
] | 1 | 2021-06-24T04:27:40.000Z | 2021-06-24T04:27:40.000Z | scripts/build_tools.py | shangliyun/lu_xing_xiang_one_os | 02b3900bbc2303291ad6b16d59f50df786af4e27 | [
"Apache-2.0"
] | 2 | 2021-06-24T04:08:28.000Z | 2022-03-07T06:37:24.000Z | #
# File : build_tools.py
# This file is part of CMCC IOT OS
# COPYRIGHT (C) 2012-2020, CMCC IOT
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# ... | 33.689189 | 147 | 0.568363 |
4edc52021b52954b7bcfc77031a13e48cefa7b90 | 2,165 | py | Python | nicos_mlz/maria/devices/powersupply.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | nicos_mlz/maria/devices/powersupply.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2021-08-18T10:55:42.000Z | 2021-08-18T10:55:42.000Z | nicos_mlz/maria/devices/powersupply.py | ISISComputingGroup/nicos | 94cb4d172815919481f8c6ee686f21ebb76f2068 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | # -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... | 36.694915 | 79 | 0.614781 |
9352300f463553790acaae304570abb226552c3c | 36,272 | py | Python | main.py | MeckeDev/PhasmoBot | 3defd252140ca68c8d9f099f55c76169bc64812d | [
"MIT"
] | null | null | null | main.py | MeckeDev/PhasmoBot | 3defd252140ca68c8d9f099f55c76169bc64812d | [
"MIT"
] | null | null | null | main.py | MeckeDev/PhasmoBot | 3defd252140ca68c8d9f099f55c76169bc64812d | [
"MIT"
] | null | null | null | from twitchio.ext import commands
from NewChannel import *
import time
import os
import threading
from datetime import datetime
import requests as r
from dotenv import load_dotenv
load_dotenv()
# The Bot is getting created with the Tokens and IDs
bot = commands.Bot(
irc_token=os.getenv('TMI_TOKEN'),
api_to... | 37.432405 | 272 | 0.542705 |
abb5e9c45322e57620ead1f04feb33447317ea2c | 3,080 | py | Python | __init__.py | katlabs/respeaker-array-v2-skill | ab72eddf032597288f6119c5e926dc23e020cf12 | [
"Apache-2.0"
] | 1 | 2021-12-21T16:11:51.000Z | 2021-12-21T16:11:51.000Z | __init__.py | katlabs/respeaker-array-v2-skill | ab72eddf032597288f6119c5e926dc23e020cf12 | [
"Apache-2.0"
] | null | null | null | __init__.py | katlabs/respeaker-array-v2-skill | ab72eddf032597288f6119c5e926dc23e020cf12 | [
"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 the... | 30.49505 | 74 | 0.771753 |
ddc643cf13cd7dab4e146464c4fe79bc5a61b47f | 175 | py | Python | dgp/genera/__init__.py | dataspot/dgp | 553a255a4884b935cf2efecdc761050232f0f066 | [
"MIT"
] | 1 | 2019-07-17T11:34:27.000Z | 2019-07-17T11:34:27.000Z | dgp/genera/__init__.py | datahq/dgp | f39592ce20ba67b73b08188f14585b6eb3d43f96 | [
"MIT"
] | 2 | 2019-04-30T12:32:32.000Z | 2019-04-30T12:35:26.000Z | dgp/genera/__init__.py | dataspot/dgp | 553a255a4884b935cf2efecdc761050232f0f066 | [
"MIT"
] | null | null | null | from .load import LoaderDGP, PostLoaderDGP
from .transform import TransformDGP
from .enrich import EnricherDGP
from .publish import PublisherDGP
from .simple import SimpleDGP
| 29.166667 | 42 | 0.845714 |
2f5c489c7f67ce9b468e79e13bb9a65e3b528043 | 3,080 | py | Python | mowl/examples/CatEmbeddings/get_splits.py | bio-ontology-research-group/OntoML | 4cdc17dc7ee26464db96c67838c3e77dba5318f9 | [
"BSD-3-Clause"
] | null | null | null | mowl/examples/CatEmbeddings/get_splits.py | bio-ontology-research-group/OntoML | 4cdc17dc7ee26464db96c67838c3e77dba5318f9 | [
"BSD-3-Clause"
] | null | null | null | mowl/examples/CatEmbeddings/get_splits.py | bio-ontology-research-group/OntoML | 4cdc17dc7ee26464db96c67838c3e77dba5318f9 | [
"BSD-3-Clause"
] | null | null | null | import random
import pickle as pkl
import click as ck
import logging
logging.basicConfig(level = logging.INFO)
def get_splits(train_edges_file, closure_edges_file):
ontology_edges = []
with open(train_edges_file, "r") as f:
for line in f:
line = line.rstrip("\n").split("\t")
ont... | 30.8 | 112 | 0.603247 |
b62cc8b86f6e45e89b1aa26fa31bf051a678492d | 1,030 | py | Python | dataset/roadsign_voc/download_roadsign_voc.py | linglanfeng/PaddleDetection | 487e6e60b2cfe0b411bba64622ca7f8fe467f3d2 | [
"Apache-2.0"
] | 1 | 2021-03-04T06:10:14.000Z | 2021-03-04T06:10:14.000Z | dataset/roadsign_voc/download_roadsign_voc.py | rqjtsq/PaddleDetection | b457850659c43fbd4a26c4fc4b70a3709b9952d4 | [
"Apache-2.0"
] | null | null | null | dataset/roadsign_voc/download_roadsign_voc.py | rqjtsq/PaddleDetection | b457850659c43fbd4a26c4fc4b70a3709b9952d4 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 35.517241 | 74 | 0.766019 |
e5ceb6098e918402f0814bb7763e23db811fc8a5 | 4,181 | py | Python | examples/polyfitRidgeLasso.py | Duane321/pyprobml | 6d0ba29f22dc7fec9dfc73788bc5520e97663bdb | [
"MIT"
] | null | null | null | examples/polyfitRidgeLasso.py | Duane321/pyprobml | 6d0ba29f22dc7fec9dfc73788bc5520e97663bdb | [
"MIT"
] | null | null | null | examples/polyfitRidgeLasso.py | Duane321/pyprobml | 6d0ba29f22dc7fec9dfc73788bc5520e97663bdb | [
"MIT"
] | null | null | null | """
Ridge and lasso regression:
Visualize effect of changing lambda on degree 14 polynomial.
This is a simplified version of linregPolyVsRegDemo.m
These are the steps:
- Generate the data
- Create a preprocessor pipeline that applies a degree 14 polynomial
and rescales values to be within [-1, 1] (no hyp... | 32.664063 | 95 | 0.696723 |
cb2ded00bf791b004ae66e2786f5ccc69b8e0141 | 12,252 | py | Python | src/python/views/demo_tigergraph_circle/__init__.py | akash-kaul/graph-app-kit | 39d22c4770b9bb77ea8c6a378d80eba579fa6aeb | [
"BSD-3-Clause"
] | null | null | null | src/python/views/demo_tigergraph_circle/__init__.py | akash-kaul/graph-app-kit | 39d22c4770b9bb77ea8c6a378d80eba579fa6aeb | [
"BSD-3-Clause"
] | null | null | null | src/python/views/demo_tigergraph_circle/__init__.py | akash-kaul/graph-app-kit | 39d22c4770b9bb77ea8c6a378d80eba579fa6aeb | [
"BSD-3-Clause"
] | null | null | null | import asyncio
import graphistry
import pandas as pd
import streamlit as st
from components import GraphistrySt, URLParam
from css import all_css
from util import getChild
import time
from TigerGraph_helper import tg_helper
import plotly.express as px
import pyTigerGraphBeta as tg
import datetime
#####################... | 31.496144 | 124 | 0.565051 |
6a4b0836fdc5c825bba132f8fc6d6f86798662ed | 156 | py | Python | utils/embed.py | lolbot-project/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 3 | 2018-03-05T17:13:11.000Z | 2018-06-05T14:29:59.000Z | utils/embed.py | tilda/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 6 | 2017-08-27T02:51:54.000Z | 2018-01-22T03:09:06.000Z | utils/embed.py | tilda/lolbot | 9d03ce1cbd506329d3538ec16a62895f8693016a | [
"MIT"
] | 5 | 2017-10-07T16:41:21.000Z | 2018-02-05T22:01:48.000Z | from discord import Embed
def get_embed():
"""
Helper for discord.Embed.
:returns: discord.Embed
"""
return Embed(colour=0x690E8)
| 15.6 | 32 | 0.628205 |
585b04ed77e929440c98f61e23f2d2c33b97449b | 1,313 | py | Python | luhn.py | dakl/luhn | 59ab1b3d90bbff9ade23fdb3dd8d28ed49855992 | [
"MIT"
] | null | null | null | luhn.py | dakl/luhn | 59ab1b3d90bbff9ade23fdb3dd8d28ed49855992 | [
"MIT"
] | null | null | null | luhn.py | dakl/luhn | 59ab1b3d90bbff9ade23fdb3dd8d28ed49855992 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Luhn's algo doesn't change digit certain transpositions
# 90 <-> 09
# 22 <-> 55
# 33 <-> 66
# 44 <-> 77
# based on http://en.wikipedia.org/wiki/Luhn_algorithm#Strengths_and_weaknesses
REJECTED_STRS = ["09", "90", "22", "55", "33", "66", "44", "77"]
def padToQuad(num):
while len(str(num)) < 4:... | 29.177778 | 79 | 0.680122 |
f815ab90a178224cae8c879fd6fb8f27d2860ad0 | 176 | py | Python | twitoff/__init__.py | dmhliu/twitoff | 4c880eedf0a0925fe9200b1cf2a09d555a372adc | [
"MIT"
] | null | null | null | twitoff/__init__.py | dmhliu/twitoff | 4c880eedf0a0925fe9200b1cf2a09d555a372adc | [
"MIT"
] | 4 | 2021-06-08T22:12:41.000Z | 2022-03-12T00:48:37.000Z | twitoff/__init__.py | dmhliu/twitoff | 4c880eedf0a0925fe9200b1cf2a09d555a372adc | [
"MIT"
] | null | null | null | #!/ usr/bin/env python
# this file indicates we are in a twitoff package folder.
from .app import create_app
APP = create_app() # create an instance of the app, a global
| 22 | 62 | 0.721591 |
9ed3dfede9477973cee625968a66f65942dea12a | 299 | py | Python | Arays/Udemy1/1_two_sum_approach_1.py | sounak95/100_days_of_code | 50fbf088ce6ab2137aa216a30e3b3f828b278a22 | [
"Apache-2.0"
] | null | null | null | Arays/Udemy1/1_two_sum_approach_1.py | sounak95/100_days_of_code | 50fbf088ce6ab2137aa216a30e3b3f828b278a22 | [
"Apache-2.0"
] | null | null | null | Arays/Udemy1/1_two_sum_approach_1.py | sounak95/100_days_of_code | 50fbf088ce6ab2137aa216a30e3b3f828b278a22 | [
"Apache-2.0"
] | null | null | null |
def findTwoSum(l1, targetToFind):
for i in range(len(l1)):
num_to_find= targetToFind-l1[i]
for j in range(i+1,len(l1)):
if l1[j]==num_to_find:
return (i,j)
return None
l1 = [1, 3, 7, 9, 2]
targetToFind = 11
print(findTwoSum(l1, targetToFind))
| 19.933333 | 39 | 0.571906 |
c6ea37847a6dd4965fd0849c5932beb34887a965 | 113 | py | Python | django_zora_messages/apps.py | devmmaia/django-zora-messages | 160f7fe049bfc80990ac439da7691ece6b020f62 | [
"MIT"
] | null | null | null | django_zora_messages/apps.py | devmmaia/django-zora-messages | 160f7fe049bfc80990ac439da7691ece6b020f62 | [
"MIT"
] | null | null | null | django_zora_messages/apps.py | devmmaia/django-zora-messages | 160f7fe049bfc80990ac439da7691ece6b020f62 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class DjangoZoraMessagesConfig(AppConfig):
name = 'django_zora_messages'
| 18.833333 | 42 | 0.80531 |
e5c90f65cce76b1a8ee8729e18a04fac4b282d2b | 547 | py | Python | tests/test.py | neotje/hops-recepten | eabf897c2a9fc018479e61a1fcecc37efa57c4c1 | [
"MIT"
] | null | null | null | tests/test.py | neotje/hops-recepten | eabf897c2a9fc018479e61a1fcecc37efa57c4c1 | [
"MIT"
] | 1 | 2021-05-03T09:08:51.000Z | 2021-05-03T09:08:51.000Z | tests/test.py | neotje/hops-recepten | eabf897c2a9fc018479e61a1fcecc37efa57c4c1 | [
"MIT"
] | null | null | null | from os import name
from bson.objectid import ObjectId
from hopsrecipes.helpers.exceptions import UserError
from hopsrecipes import user
from hopsrecipes import recipe
from hopsrecipes.helpers import database, documents
import sys
import logging
logging.basicConfig(
stream=sys.stdout,
level=logging.INFO,
... | 24.863636 | 75 | 0.780622 |
f3f5ced7514f31284df844d9e8b3a7aa9b8f1aff | 496 | py | Python | flask_app/controllers/applications.py | MapleLeo/PawFosterFamily | 0f0c14f12858a27ded4ec2565e8a82290518b798 | [
"MIT"
] | null | null | null | flask_app/controllers/applications.py | MapleLeo/PawFosterFamily | 0f0c14f12858a27ded4ec2565e8a82290518b798 | [
"MIT"
] | null | null | null | flask_app/controllers/applications.py | MapleLeo/PawFosterFamily | 0f0c14f12858a27ded4ec2565e8a82290518b798 | [
"MIT"
] | null | null | null | from flask import render_template,redirect,session,request,flash
from flask_app import app
from flask_app.models.application import Application
@app.route('/application/<int:id>/approve', methods=['POST'])
def approve_application(id):
Application.set_status(id, "APPROVED")
return redirect('/shelter/dashboard')... | 35.428571 | 64 | 0.762097 |
776e2cc76d81adcd75424c1030de9e49cc2c0856 | 30,283 | py | Python | fhirclient/models/practitioner_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | 2 | 2019-05-16T16:41:22.000Z | 2021-04-22T22:06:49.000Z | fhirclient/models/practitioner_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | null | null | null | fhirclient/models/practitioner_tests.py | NematiLab/Streaming-Sepsis-Prediction-System-for-Intensive-Care-Units | fb5ad260fb8d264d85aea9e6c895d1700eea4d11 | [
"Apache-2.0"
] | 3 | 2019-03-26T01:39:18.000Z | 2020-02-02T19:06:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 1.0.2.7202 on 2016-06-23.
# 2016, SMART Health IT.
import os
import io
import unittest
import json
from . import practitioner
from .fhirdate import FHIRDate
class PractitionerTests(unittest.TestCase):
def instantiate_from(self, filename):
... | 59.262231 | 120 | 0.673414 |
0076d4e6b997050a3e4051eacdd78eed81688db1 | 2,313 | py | Python | shortcuts/dump.py | maximejf42/python-shortcuts | addde7732e88d250aaea75c228241ed182fca850 | [
"MIT"
] | 1 | 2021-12-07T09:07:10.000Z | 2021-12-07T09:07:10.000Z | shortcuts/dump.py | Harwood/python-shortcuts | 397509b10c0ea8024d2eda23da709eb437cf8550 | [
"MIT"
] | null | null | null | shortcuts/dump.py | Harwood/python-shortcuts | 397509b10c0ea8024d2eda23da709eb437cf8550 | [
"MIT"
] | null | null | null | import plistlib
from typing import TYPE_CHECKING, Any, BinaryIO, Dict, Type
import toml
if TYPE_CHECKING:
from shortcuts import Shortcut # noqa
from shortcuts.actions.base import BaseAction # noqa
class BaseDumper:
'''
Base class to dump shortcuts
'''
def __init__(self, shortcut: 'Sh... | 30.434211 | 97 | 0.621271 |
9f5b643c52fe7d9966fdad4447d28d4fd4e5d72c | 6,764 | py | Python | cinder/db/sqlalchemy/migrate_repo/versions/002_quota_class.py | tomasdubec/openstack-cinder | 4d0985ea85f4fbdf48b1ed8e35407d2b4a6cf0e4 | [
"Apache-2.0"
] | null | null | null | cinder/db/sqlalchemy/migrate_repo/versions/002_quota_class.py | tomasdubec/openstack-cinder | 4d0985ea85f4fbdf48b1ed8e35407d2b4a6cf0e4 | [
"Apache-2.0"
] | null | null | null | cinder/db/sqlalchemy/migrate_repo/versions/002_quota_class.py | tomasdubec/openstack-cinder | 4d0985ea85f4fbdf48b1ed8e35407d2b4a6cf0e4 | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 OpenStack LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 43.922078 | 79 | 0.474128 |
6aee8c8e8bc722871c6a58a53f4df9999801b69f | 759 | py | Python | tf_implementation/segmentation/utils/display.py | arekmula/skull_stripping | d03cef81392f8cd243dc1c6d32ffa897af922eb2 | [
"MIT"
] | 3 | 2021-02-23T15:26:40.000Z | 2021-08-11T19:36:21.000Z | tf_implementation/segmentation/utils/display.py | arekmula/skull_stripping | d03cef81392f8cd243dc1c6d32ffa897af922eb2 | [
"MIT"
] | null | null | null | tf_implementation/segmentation/utils/display.py | arekmula/skull_stripping | d03cef81392f8cd243dc1c6d32ffa897af922eb2 | [
"MIT"
] | null | null | null | import nibabel as nib
import numpy as np
from matplotlib import pyplot as plt
from pathlib import Path
from typing import List
def show_slices(slices: List[np.ndarray]):
"""
Shows slices from axis x, y, z
:param slices: list of image slices from axis x, y, z
:return:
"""
fig, axes = plt.subp... | 24.483871 | 65 | 0.661397 |
37cf228bbbdcea2d071330fea67245854ffe9149 | 480 | py | Python | dashboard/migrations/0050_auto_20180227_1351.py | eric-scott-owens/loopla | 1fd5e6e7e9907198ff904111010b362a129d5e39 | [
"MIT"
] | null | null | null | dashboard/migrations/0050_auto_20180227_1351.py | eric-scott-owens/loopla | 1fd5e6e7e9907198ff904111010b362a129d5e39 | [
"MIT"
] | 6 | 2020-06-05T22:27:20.000Z | 2022-03-24T10:25:50.000Z | dashboard/migrations/0050_auto_20180227_1351.py | eric-scott-owens/loopla | 1fd5e6e7e9907198ff904111010b362a129d5e39 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2018-02-27 13:51
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dashboard', '0049_auto_20180206_0225'),
]
operations = [
migrations.AlterFi... | 22.857143 | 63 | 0.633333 |
763884547930faceee975a7bd53e0e9e2cda61b4 | 12,769 | py | Python | sdk/python/pulumi_azure_native/network/v20190901/vpn_site.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/network/v20190901/vpn_site.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/network/v20190901/vpn_site.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | # 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... | 51.281124 | 2,840 | 0.67006 |
79bf9cf676ec9db2dc1eeee326dc01ac74b8539d | 547 | py | Python | jessiql/features/cursor/query.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | jessiql/features/cursor/query.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | jessiql/features/cursor/query.py | kolypto/py-jessiql | 724a1eda84e912483bb2d96bb0f74ce6a12098a3 | [
"MIT"
] | null | null | null | from jessiql import Query
from .cursors import PageLinks
from .skiplimit import CursorLimitOperation
class QueryPage(Query):
""" A Query that will generate cursors to navigate to the next/previous pages """
SkipLimitOperation = CursorLimitOperation
def page_links(self) -> PageLinks:
""" Get link... | 32.176471 | 101 | 0.722121 |
4ed1fcee3461e2f31ed5a0bea53cf3602a06cb5d | 2,405 | py | Python | tools/check_lang_placeholders.py | SpaghettiEnjoyer/OverlayPlugin | 68c7e939d07330c731b0155a332f864f7d19605e | [
"MIT"
] | 223 | 2019-07-06T04:19:35.000Z | 2022-03-29T04:18:01.000Z | tools/check_lang_placeholders.py | SpaghettiEnjoyer/OverlayPlugin | 68c7e939d07330c731b0155a332f864f7d19605e | [
"MIT"
] | 228 | 2019-07-16T14:56:21.000Z | 2022-03-22T19:45:34.000Z | tools/check_lang_placeholders.py | SpaghettiEnjoyer/OverlayPlugin | 68c7e939d07330c731b0155a332f864f7d19605e | [
"MIT"
] | 71 | 2019-07-31T22:14:15.000Z | 2022-03-20T08:50:18.000Z | import sys
import os.path
import re
import json
BASE_DIR = os.path.join(os.path.dirname(__file__), '..')
PROJECTS = ('HtmlRenderer', 'OverlayPlugin', 'OverlayPlugin.Common', 'OverlayPlugin.Core', 'OverlayPlugin.Updater')
TRANS_LOG_RE = re.compile(r'Log\(LogLevel\.[A-Za-z]+, Resources\.(?P<key>[A-Za-z0-9]+)(?P<params>... | 39.42623 | 117 | 0.556757 |
f9c7376929eddc46b24208bd068a1a102a84a588 | 411 | py | Python | donkeycar_console/wsgi.py | MehriBacem/donkeycar_console | a9360a81a610d904739ea31d465d958cd603d183 | [
"MIT"
] | null | null | null | donkeycar_console/wsgi.py | MehriBacem/donkeycar_console | a9360a81a610d904739ea31d465d958cd603d183 | [
"MIT"
] | null | null | null | donkeycar_console/wsgi.py | MehriBacem/donkeycar_console | a9360a81a610d904739ea31d465d958cd603d183 | [
"MIT"
] | null | null | null | """
WSGI config for donkeycar_console project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJ... | 24.176471 | 78 | 0.79562 |
f253b81628e8ded121cbb5284f746c86efc79f18 | 3,887 | py | Python | milking_cowmask/architectures/shake.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | milking_cowmask/architectures/shake.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | milking_cowmask/architectures/shake.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # 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... | 30.606299 | 79 | 0.69771 |
79d7fde3efea55863e4f21c4c348f72b3a691bba | 466 | py | Python | plotly/validators/violin/box/_fillcolor.py | gnestor/plotly.py | a8ae062795ddbf9867b8578fe6d9e244948c15ff | [
"MIT"
] | 12 | 2020-04-18T18:10:22.000Z | 2021-12-06T10:11:15.000Z | plotly/validators/violin/box/_fillcolor.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 27 | 2020-04-28T21:23:12.000Z | 2021-06-25T15:36:38.000Z | plotly/validators/violin/box/_fillcolor.py | Vesauza/plotly.py | e53e626d59495d440341751f60aeff73ff365c28 | [
"MIT"
] | 6 | 2020-04-18T23:07:08.000Z | 2021-11-18T07:53:06.000Z | import _plotly_utils.basevalidators
class FillcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name='fillcolor', parent_name='violin.box', **kwargs
):
super(FillcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | 29.125 | 73 | 0.637339 |
f14e5295c848f74b9cb4d98114040fb169953d05 | 7,660 | py | Python | library/azure_rm_cdnprofile_facts.py | wray/azure_modules | af2d84ffc4a0061f5ab4ed7e621faa0bbdbb2da5 | [
"MIT"
] | null | null | null | library/azure_rm_cdnprofile_facts.py | wray/azure_modules | af2d84ffc4a0061f5ab4ed7e621faa0bbdbb2da5 | [
"MIT"
] | null | null | null | library/azure_rm_cdnprofile_facts.py | wray/azure_modules | af2d84ffc4a0061f5ab4ed7e621faa0bbdbb2da5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# Copyright (c) 2018 Hai Cao, <t-haicao@microsoft.com>, Yunge Zhu <yungez@microsoft.com>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metada... | 28.90566 | 135 | 0.589295 |
ed560a4fccf0d8a26b6cf41e1e69866aa0233ac6 | 363 | py | Python | backup_codes/generated_xor_data.py | shridharmishra4/Artificial-neural-netowrks-in-C | 40f89aa3da9b2cc036df372e5bf5b6e7031d0d87 | [
"Apache-2.0"
] | null | null | null | backup_codes/generated_xor_data.py | shridharmishra4/Artificial-neural-netowrks-in-C | 40f89aa3da9b2cc036df372e5bf5b6e7031d0d87 | [
"Apache-2.0"
] | null | null | null | backup_codes/generated_xor_data.py | shridharmishra4/Artificial-neural-netowrks-in-C | 40f89aa3da9b2cc036df372e5bf5b6e7031d0d87 | [
"Apache-2.0"
] | null | null | null |
with open("validate.txt","w") as f:
for i in range(25):
f.writelines("{0} {1} {2}\n".format(0,0,0^0))
for i in range(25):
f.writelines("{0} {1} {2}\n".format(0, 1, 0 ^ 1))
for i in range(25):
f.writelines("{0} {1} {2}\n".format(1, 0, 1 ^ 0))
for i in range(25):
f.write... | 27.923077 | 57 | 0.482094 |
57dd4e204790ccad2f20167c571cc81c29c83fea | 501 | py | Python | robot_control/launch/spawn_vehicle.launch.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | null | null | null | robot_control/launch/spawn_vehicle.launch.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | 4 | 2021-06-29T05:14:13.000Z | 2021-08-11T05:00:44.000Z | robot_control/launch/spawn_vehicle.launch.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from launch import LaunchDescription
from launch.actions import OpaqueFunction
from robot_control.launch.spawn_vehicle import launch_setup, LAUNCH_ARGS
from ros2_utils.launch import get_launch_arguments
def generate_launch_description():
"""Launch this launch file."""
launch_description... | 35.785714 | 72 | 0.812375 |
1489788204696c57666f6e979aad058c93a850f4 | 5,352 | py | Python | lrs/objects/AgentProfileManager.py | varunasingh/ADL_LRS | 65130b0f4d1b022bd2b4fb42261457bdc47b3ad2 | [
"Apache-2.0"
] | null | null | null | lrs/objects/AgentProfileManager.py | varunasingh/ADL_LRS | 65130b0f4d1b022bd2b4fb42261457bdc47b3ad2 | [
"Apache-2.0"
] | null | null | null | lrs/objects/AgentProfileManager.py | varunasingh/ADL_LRS | 65130b0f4d1b022bd2b4fb42261457bdc47b3ad2 | [
"Apache-2.0"
] | null | null | null | import ast
import json
import datetime
import copy
from django.core.files.base import ContentFile
from django.db import transaction
from django.utils.timezone import utc
from lrs.models import AgentProfile
from lrs.models import Agent as ag
from lrs.exceptions import IDNotFoundError, ParamError
from lrs.util import eta... | 40.545455 | 123 | 0.605568 |
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