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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fbd342c6beac3ee2504504134e1128563e6f6347 | 1,099 | py | Python | src/options/split/backward/probability.py | DenDen047/SpatialNetworks | 62a076d12af474b19b406e605d970662d9699cdf | [
"MIT"
] | 3 | 2019-12-15T23:29:11.000Z | 2020-05-08T03:26:20.000Z | src/options/split/backward/probability.py | DenDen047/SpatialNetworks | 62a076d12af474b19b406e605d970662d9699cdf | [
"MIT"
] | null | null | null | src/options/split/backward/probability.py | DenDen047/SpatialNetworks | 62a076d12af474b19b406e605d970662d9699cdf | [
"MIT"
] | 3 | 2019-12-30T15:49:57.000Z | 2020-04-30T08:06:18.000Z | import torch
from . import _base
class Masker(_base.Base):
"""For each task, each neuron has probability to be kept.
The more connected neuron to task, the higher the probability to keep it.
Other neurons will be zeroed-out
Parameters
----------
labels: int
How many labels were ... | 25.55814 | 77 | 0.576888 |
f64e39a1d74bad38e2d21a305a9c5ab01ea305eb | 13,975 | py | Python | tests/test_all.py | sebastian-zieba/PACMAN | 2eb1e4b450c97dc28d5a05b3ebddd80706cfca79 | [
"MIT"
] | 1 | 2022-03-23T10:26:33.000Z | 2022-03-23T10:26:33.000Z | tests/test_all.py | sebastian-zieba/PACMAN | 2eb1e4b450c97dc28d5a05b3ebddd80706cfca79 | [
"MIT"
] | null | null | null | tests/test_all.py | sebastian-zieba/PACMAN | 2eb1e4b450c97dc28d5a05b3ebddd80706cfca79 | [
"MIT"
] | 1 | 2022-03-29T13:37:31.000Z | 2022-03-29T13:37:31.000Z | import numpy as np
import sys, os, time, glob
import pytest
from astropy.io import ascii
from astroquery.mast import Observations
from astropy.io import fits
#sys.path.insert(0, '../src')
sys.path.insert(0, './src')
#sys.path.insert(0, '/home/zieba/Desktop/Projects/Open_source/PACMAN/src/')
#print(sys.path)
from pacma... | 28.232323 | 163 | 0.674419 |
518acc300a4a019b9d4ed01215543bf47f4ae1bf | 71,021 | py | Python | scripts/api_dump_generator.py | g-keen/VulkanTools | 231ea2844079c92ea74e2750e8cb3fd1c0434152 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | scripts/api_dump_generator.py | g-keen/VulkanTools | 231ea2844079c92ea74e2750e8cb3fd1c0434152 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | scripts/api_dump_generator.py | g-keen/VulkanTools | 231ea2844079c92ea74e2750e8cb3fd1c0434152 | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3 -i
#
# Copyright (c) 2015-2016 Valve Corporation
# Copyright (c) 2015-2016 LunarG, Inc.
# Copyright (c) 2015-2016 Google 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 a... | 39.065457 | 265 | 0.609932 |
76eefd0373ae912c8ca1b87c30540d93958574ae | 78 | py | Python | pcc_schedule/main.py | jaxlin12/PCC_Schedule_Spider | 284690517c5687ccac0516043370862492e2cffe | [
"MIT"
] | 2 | 2021-01-06T21:57:29.000Z | 2021-01-15T00:30:46.000Z | pcc_schedule/main.py | JaxLam/PCC_Schedule_Spider | 284690517c5687ccac0516043370862492e2cffe | [
"MIT"
] | null | null | null | pcc_schedule/main.py | JaxLam/PCC_Schedule_Spider | 284690517c5687ccac0516043370862492e2cffe | [
"MIT"
] | null | null | null | from scrapy import cmdline
cmdline.execute("scrapy crawl schedule".split())
| 26 | 49 | 0.782051 |
7b5a2fc90db47b60d608f0856814d0b735132d1a | 292 | py | Python | setup.py | nylas/stackcollector | 2e9f72ee74587e0dea5ba4826cd60a093c8869f0 | [
"MIT"
] | 592 | 2015-09-29T18:08:07.000Z | 2022-03-14T04:18:15.000Z | setup.py | nylas/stackcollector | 2e9f72ee74587e0dea5ba4826cd60a093c8869f0 | [
"MIT"
] | 16 | 2015-10-29T15:55:17.000Z | 2021-06-15T18:26:24.000Z | setup.py | nylas/stackcollector | 2e9f72ee74587e0dea5ba4826cd60a093c8869f0 | [
"MIT"
] | 62 | 2015-09-29T18:07:35.000Z | 2021-08-06T09:11:00.000Z | from setuptools import setup, find_packages
setup(
name='stackcollector',
version='0.1',
packages=find_packages(),
install_requires=[
'requests>=2.4.3',
'flask>=0.10.1',
'nylas-production-python>=0.2.3',
'click',
'dateparser'
],
)
| 19.466667 | 43 | 0.568493 |
7f701961654ef4e5d1a62f6f85fb5a4339d084a8 | 2,094 | py | Python | tests/gold_tests/body_factory/http204_response_plugin.test.py | AD5GB/trafficserver | b18b54ba5033da8de0983a07626dd24501474c93 | [
"Apache-2.0"
] | null | null | null | tests/gold_tests/body_factory/http204_response_plugin.test.py | AD5GB/trafficserver | b18b54ba5033da8de0983a07626dd24501474c93 | [
"Apache-2.0"
] | null | null | null | tests/gold_tests/body_factory/http204_response_plugin.test.py | AD5GB/trafficserver | b18b54ba5033da8de0983a07626dd24501474c93 | [
"Apache-2.0"
] | 1 | 2021-08-28T09:50:10.000Z | 2021-08-28T09:50:10.000Z | '''
Tests that plugins may break HTTP by sending 204 response bodies
'''
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# ... | 40.269231 | 175 | 0.767431 |
b77ad3b48d96f6a6643eb7ee93fb4afafd3e690f | 1,931 | py | Python | test/test_workflow_decision_case.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 21 | 2018-03-29T14:20:35.000Z | 2021-10-13T05:11:41.000Z | test/test_workflow_decision_case.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 14 | 2018-01-30T15:45:46.000Z | 2022-02-23T14:23:21.000Z | test/test_workflow_decision_case.py | sdnit-se/intersight-python | 551f7685c0f76bb8af60ec83ffb6f9672d49a4ae | [
"Apache-2.0"
] | 18 | 2018-01-03T15:09:56.000Z | 2021-07-16T02:21:54.000Z | # coding: utf-8
"""
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environmen... | 50.815789 | 1,052 | 0.781978 |
21f0a1815ebe17095a89df9f4a772d36c49fc41b | 5,539 | py | Python | III-mono_neural_inference/as_nn_coronamask_depth.py | Ikomia-dev/ikomia-oakd | 7a048dd82fefc56a9f28b889f7d988d931173c9a | [
"MIT"
] | null | null | null | III-mono_neural_inference/as_nn_coronamask_depth.py | Ikomia-dev/ikomia-oakd | 7a048dd82fefc56a9f28b889f7d988d931173c9a | [
"MIT"
] | null | null | null | III-mono_neural_inference/as_nn_coronamask_depth.py | Ikomia-dev/ikomia-oakd | 7a048dd82fefc56a9f28b889f7d988d931173c9a | [
"MIT"
] | null | null | null | import depthai as dai
import time
import cv2
from pathlib import Path
# Draw ROI and class label of each detected thing if confidence>50%
def frame_process(frame, tensor):
color = (255,0,0)
keeped_roi = []
for i in range(100): # There is 100 detections, not all of them are relevant
if (tensor[i*7... | 41.02963 | 176 | 0.737137 |
380a6936a8d7733f3a4e5ddb570c5eb6a7a09d0c | 123 | py | Python | src/clilib/decorator/__init__.py | markediez/clilib | 46753645b96b6482e38c14fc707a300e10faf330 | [
"MIT"
] | null | null | null | src/clilib/decorator/__init__.py | markediez/clilib | 46753645b96b6482e38c14fc707a300e10faf330 | [
"MIT"
] | 5 | 2020-08-27T17:40:29.000Z | 2020-09-20T19:09:20.000Z | src/clilib/decorator/__init__.py | markediez/clilib | 46753645b96b6482e38c14fc707a300e10faf330 | [
"MIT"
] | null | null | null | from clilib.decorator.arg import arg
from clilib.decorator.verb import verb
from clilib.decorator.resource import resource
| 30.75 | 46 | 0.853659 |
9bfe1e7c2f1f981767df5f5a275f0c644cbc47d6 | 1,900 | py | Python | utils/helpers/dc_helper.py | AllenZYJ/torchcv | 79f1a0a3b77820edbc42b79e0aa90dbf10d936c0 | [
"Apache-2.0"
] | 1 | 2019-06-19T23:36:11.000Z | 2019-06-19T23:36:11.000Z | utils/helpers/dc_helper.py | AllenZYJ/torchcv | 79f1a0a3b77820edbc42b79e0aa90dbf10d936c0 | [
"Apache-2.0"
] | null | null | null | utils/helpers/dc_helper.py | AllenZYJ/torchcv | 79f1a0a3b77820edbc42b79e0aa90dbf10d936c0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com)
import torch
import itertools
from extensions.tools.parallel import DataContainer
class DCHelper(object):
@staticmethod
def tolist(dc):
if isinstance(dc, (list, tuple)):
return dc
assert isi... | 35.185185 | 129 | 0.643158 |
7b25631965f16574de3dcc3ec3d769a184d0697c | 6,767 | py | Python | releasefiles/reports2/create-firewall-data.py | sonatype-nexus-community/iq-success-metrics2 | 5c61671305b618e838fbb1af22157062bfdc5a2e | [
"Apache-2.0"
] | 8 | 2020-10-10T03:55:16.000Z | 2022-01-28T14:40:36.000Z | releasefiles/reports2/create-firewall-data.py | sonatype-nexus-community/iq-success-metrics2 | 5c61671305b618e838fbb1af22157062bfdc5a2e | [
"Apache-2.0"
] | 14 | 2020-05-28T19:32:33.000Z | 2021-11-10T18:21:58.000Z | releasefiles/reports2/create-firewall-data.py | sonatype-nexus-community/iq-success-metrics2 | 5c61671305b618e838fbb1af22157062bfdc5a2e | [
"Apache-2.0"
] | 10 | 2020-08-20T14:17:45.000Z | 2022-01-23T15:32:00.000Z | import json
import requests
import os
import os.path
import sys
import shutil
import csv
debug = False
iqurl = sys.argv[1]
iquser = sys.argv[2]
iqpwd = sys.argv[3]
if len(sys.argv) == 5:
if sys.argv[4] == "debug":
debug = True
jsonfile = 'firewalldata.json'
csvfile = 'firewalldata.csv'
firewall... | 27.28629 | 102 | 0.578247 |
305aa4a0018ab37d9f318fd1ec495fa907c2f1e7 | 491 | py | Python | Python/io_image.py | abondar24/OpenCVBase | 9b23e3b31304e77ad1135d90efb41e3dc069194a | [
"Apache-2.0"
] | null | null | null | Python/io_image.py | abondar24/OpenCVBase | 9b23e3b31304e77ad1135d90efb41e3dc069194a | [
"Apache-2.0"
] | null | null | null | Python/io_image.py | abondar24/OpenCVBase | 9b23e3b31304e77ad1135d90efb41e3dc069194a | [
"Apache-2.0"
] | null | null | null | import cv2
import numpy as np
import os
image = cv2.imread('hard.jpg')
cv2.imwrite('president.jpg', image)
gray_image = cv2.imread('hard.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE)
cv2.imwrite('pr1.png', gray_image)
random_byte_array = bytearray(os.urandom(120000))
flat_numpy_array = np.array(random_byte_array)
gray_image =... | 27.277778 | 64 | 0.782077 |
a28dca29df01ff9c168c9a7b0863460aad30ea57 | 425 | py | Python | utils/math_utils.py | gbanegas/KissECC | 2630998178955a6e68adec34e30802447057c58f | [
"Apache-2.0"
] | 1 | 2017-02-08T16:01:48.000Z | 2017-02-08T16:01:48.000Z | utils/math_utils.py | gbanegas/ecc | 2630998178955a6e68adec34e30802447057c58f | [
"Apache-2.0"
] | null | null | null | utils/math_utils.py | gbanegas/ecc | 2630998178955a6e68adec34e30802447057c58f | [
"Apache-2.0"
] | null | null | null |
class MathUtil(object):
@staticmethod
def sqrt(n, q):
"""sqrt on PN modulo: returns two numbers or exception if not exist
>>> assert (sqrt(n, q)[0] ** 2) % q == n
>>> assert (sqrt(n, q)[1] ** 2) % q == n
"""
assert n < q
for i in range(1, q):
if i * ... | 26.5625 | 75 | 0.447059 |
366d153892c9f3f8f7898d390b54a8ac201beefa | 2,176 | py | Python | pendulum/server.py | DouglasOrr/Snippets | 026e15a422b518ee7d9ce4849f971c4403ad9fe8 | [
"MIT"
] | null | null | null | pendulum/server.py | DouglasOrr/Snippets | 026e15a422b518ee7d9ce4849f971c4403ad9fe8 | [
"MIT"
] | 1 | 2020-04-11T18:07:19.000Z | 2020-04-11T18:07:19.000Z | pendulum/server.py | DouglasOrr/Snippets | 026e15a422b518ee7d9ce4849f971c4403ad9fe8 | [
"MIT"
] | null | null | null | import math, controllers
from flask import Flask, jsonify, request, redirect, url_for
from pendulum import *
class Sim:
THRESHOLD = math.pi / 3
def __init__(self):
self.set_controller('none')
self.restart()
def set_controller(self, name):
self.controller_name = name
self.c... | 29.808219 | 85 | 0.598346 |
eee52cfba7608d2264c3466e34b465201e86072d | 15,970 | py | Python | napari/_qt/qt_viewer.py | PBLab/napari | a10a88b2115160211863b47ee7d3012fc8c7beff | [
"BSD-3-Clause"
] | null | null | null | napari/_qt/qt_viewer.py | PBLab/napari | a10a88b2115160211863b47ee7d3012fc8c7beff | [
"BSD-3-Clause"
] | 4 | 2019-12-08T20:20:44.000Z | 2020-01-16T21:57:33.000Z | napari/_qt/qt_viewer.py | PBLab/napari | a10a88b2115160211863b47ee7d3012fc8c7beff | [
"BSD-3-Clause"
] | null | null | null | import os.path
import inspect
from pathlib import Path
from qtpy import QtGui
from qtpy.QtCore import QCoreApplication, Qt, QSize
from qtpy.QtWidgets import QWidget, QVBoxLayout, QFileDialog, QSplitter
from qtpy.QtGui import QCursor, QPixmap
from qtpy.QtCore import QThreadPool
from vispy.scene import SceneCanvas, PanZ... | 34.945295 | 79 | 0.625172 |
1b32a3b84b78c2b4a0fb39c334952a8bb248ad95 | 37,472 | py | Python | tensorflow_serving/model_servers/tensorflow_model_server_test.py | ccl0326/serving | a9780780ab00ee3903576d6f062a2908f0ad192a | [
"Apache-2.0"
] | 1 | 2020-05-24T02:50:50.000Z | 2020-05-24T02:50:50.000Z | tensorflow_serving/model_servers/tensorflow_model_server_test.py | ccl0326/serving | a9780780ab00ee3903576d6f062a2908f0ad192a | [
"Apache-2.0"
] | null | null | null | tensorflow_serving/model_servers/tensorflow_model_server_test.py | ccl0326/serving | a9780780ab00ee3903576d6f062a2908f0ad192a | [
"Apache-2.0"
] | 1 | 2020-12-04T14:52:46.000Z | 2020-12-04T14:52:46.000Z | # Copyright 2016 Google Inc. 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 law or a... | 38.630928 | 100 | 0.68774 |
d690fa555cba1fa477b4997c7181c30f43acdb97 | 232,091 | py | Python | Packs/Base/Scripts/CommonServerPython/CommonServerPython_test.py | Nathan6e/content | c4c29c03a71308d73d3be0bccad8da10d44f6b5d | [
"MIT"
] | null | null | null | Packs/Base/Scripts/CommonServerPython/CommonServerPython_test.py | Nathan6e/content | c4c29c03a71308d73d3be0bccad8da10d44f6b5d | [
"MIT"
] | null | null | null | Packs/Base/Scripts/CommonServerPython/CommonServerPython_test.py | Nathan6e/content | c4c29c03a71308d73d3be0bccad8da10d44f6b5d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import demistomock as demisto
import copy
import json
import re
import os
import sys
import requests
from pytest import raises, mark
import pytest
import warnings
from CommonServerPython import set_to_integration_context_with_retries, xml2json, json2xml, entryTypes, formats, tableToMarkdown, un... | 37.732239 | 1,067 | 0.581539 |
3451b8d047429de7c3c8edf4053ac9dfed1df361 | 3,079 | py | Python | demos/streaming_asr_server/websocket_client.py | jerryuhoo/PaddleSpeech | 1eec7b5e042da294c7524af92f0fae4c32a71aa3 | [
"Apache-2.0"
] | 1,379 | 2021-11-10T02:42:21.000Z | 2022-03-31T13:34:25.000Z | demos/streaming_asr_server/websocket_client.py | jerryuhoo/PaddleSpeech | 1eec7b5e042da294c7524af92f0fae4c32a71aa3 | [
"Apache-2.0"
] | 268 | 2021-11-10T14:07:34.000Z | 2022-03-31T02:25:20.000Z | demos/streaming_asr_server/websocket_client.py | jerryuhoo/PaddleSpeech | 1eec7b5e042da294c7524af92f0fae4c32a71aa3 | [
"Apache-2.0"
] | 296 | 2021-11-15T02:37:11.000Z | 2022-03-31T12:14:46.000Z | # Copyright (c) 2022 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... | 34.988636 | 78 | 0.656057 |
836d2f40f56d5bee0c4aeefa3ace84c42e3e09cf | 333 | py | Python | DAQmxConfigTest.py | franciszekjuras/PyDAQmx | 8fd3b8f4cfdb1b8082e40b9128edd9963f0f6fc2 | [
"BSD-3-Clause"
] | 103 | 2015-01-16T09:26:41.000Z | 2022-01-20T16:57:17.000Z | DAQmxConfigTest.py | franciszekjuras/PyDAQmx | 8fd3b8f4cfdb1b8082e40b9128edd9963f0f6fc2 | [
"BSD-3-Clause"
] | 50 | 2015-01-15T12:52:54.000Z | 2021-12-09T13:03:32.000Z | DAQmxConfigTest.py | franciszekjuras/PyDAQmx | 8fd3b8f4cfdb1b8082e40b9128edd9963f0f6fc2 | [
"BSD-3-Clause"
] | 50 | 2015-02-13T18:06:28.000Z | 2022-03-19T15:02:44.000Z | import os
# To use non default config parameters or use the PyDAQmx without NIDAQmx isntalled
# Example
# import DAQmxConfigTest
# DAQmxConfigTest.dot_h_file = "..." # optional modification
# import PyDAQmx
lib_name = None
directory = os.path.split(os.path.realpath(__file__))[0]
dot_h_file = os.path.join(directory, ... | 25.615385 | 83 | 0.765766 |
26b88785a1121602b1707cd5735228b728ca6ca7 | 642 | py | Python | churchill/api/v1/user/urls.py | manti-by/traugott | 6ae05a53c14b29a08daa02a8de1624671f8f063a | [
"BSD-3-Clause"
] | null | null | null | churchill/api/v1/user/urls.py | manti-by/traugott | 6ae05a53c14b29a08daa02a8de1624671f8f063a | [
"BSD-3-Clause"
] | 11 | 2021-01-11T20:52:04.000Z | 2021-05-12T09:12:38.000Z | churchill/api/v1/user/urls.py | manti-by/churchill | 6ae05a53c14b29a08daa02a8de1624671f8f063a | [
"BSD-3-Clause"
] | null | null | null | from django.urls import path
from churchill.api.v1.user.views import (
RegisterView,
LoginView,
RegisterVerifyView,
ResetPasswordView,
ResetPasswordConfirmView,
)
app_name = "user"
urlpatterns = [
path("register/", RegisterView.as_view(), name="register"),
path("register-verify/", Regist... | 25.68 | 83 | 0.683801 |
2c89bf72325529fbc6a00f8be4cf12c9a1fd5c9d | 645 | py | Python | senior_project/personal/urls.py | eigenholser/jobsifit | ae5329864717acf27d657c10029791294abcd9b3 | [
"MIT"
] | null | null | null | senior_project/personal/urls.py | eigenholser/jobsifit | ae5329864717acf27d657c10029791294abcd9b3 | [
"MIT"
] | null | null | null | senior_project/personal/urls.py | eigenholser/jobsifit | ae5329864717acf27d657c10029791294abcd9b3 | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from . import views
from django.contrib import admin
urlpatterns = [
#url(r'^bfapp/', include('bfapp.urls')),
# url(r'^admin/', include(admin.site.urls)), #like its own app
url(r'^$', views.index, name='index'),
url(r'^contact/', views.contact, name='contact'),
... | 37.941176 | 116 | 0.657364 |
1d5090ed242062b81533352a041f512a9646124e | 100 | py | Python | enthought/mayavi/modules/vector_cut_plane.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/mayavi/modules/vector_cut_plane.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/mayavi/modules/vector_cut_plane.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from __future__ import absolute_import
from mayavi.modules.vector_cut_plane import *
| 25 | 45 | 0.85 |
ccee01ea0abe31c37c6e4f9cb2b8f055645f89df | 8,496 | py | Python | datasets/casino/casino.py | zidingz/datasets | 02edd9ebc79f715adb1c718d1439fda83dc356f1 | [
"Apache-2.0"
] | 10,608 | 2020-09-10T15:47:50.000Z | 2022-03-31T22:51:47.000Z | datasets/casino/casino.py | zidingz/datasets | 02edd9ebc79f715adb1c718d1439fda83dc356f1 | [
"Apache-2.0"
] | 2,396 | 2020-09-10T14:55:31.000Z | 2022-03-31T19:41:04.000Z | datasets/casino/casino.py | zidingz/datasets | 02edd9ebc79f715adb1c718d1439fda83dc356f1 | [
"Apache-2.0"
] | 1,530 | 2020-09-10T21:43:10.000Z | 2022-03-31T01:59:12.000Z | # coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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/lice... | 44.020725 | 661 | 0.471869 |
e6197efed047ea332a3d052fecc146b10bda2d11 | 12,265 | py | Python | test/opsgenie_swagger/models/v_center_integration.py | Logicworks/opsgenie-python-sdk | 244c4c40ddcc25e70df5ba4425ab8d7c8da59c18 | [
"Apache-2.0"
] | null | null | null | test/opsgenie_swagger/models/v_center_integration.py | Logicworks/opsgenie-python-sdk | 244c4c40ddcc25e70df5ba4425ab8d7c8da59c18 | [
"Apache-2.0"
] | null | null | null | test/opsgenie_swagger/models/v_center_integration.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.integration import Integration # ... | 38.569182 | 265 | 0.679413 |
e7194b7aa8564b8244dc18043c28374e5ee06b7e | 14,983 | py | Python | AppendData.py | BansheeLW/Python | e90798750c92bf7656896f426b49bfd90c1407ea | [
"MIT"
] | null | null | null | AppendData.py | BansheeLW/Python | e90798750c92bf7656896f426b49bfd90c1407ea | [
"MIT"
] | null | null | null | AppendData.py | BansheeLW/Python | e90798750c92bf7656896f426b49bfd90c1407ea | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
import xlwt
from xlrd import open_workbook
from xlutils.copy import copy
# 设置Excel样式
def set_style(name, height, bold=False):
style = xlwt.XFStyle() # 初始化样式
font = xlwt.Font() # 为样式创建字体
font.name = name # 'Times New Roman'
font.bold = bold
fon... | 146.892157 | 10,994 | 0.890276 |
70fa22ba2c0da02145058f3796086ae60b56c582 | 706 | py | Python | detect.py | jskrzypek/flask-video-streaming | 3c1fdff06f794f80e5d259f15bb6bbf4992e12c2 | [
"MIT"
] | null | null | null | detect.py | jskrzypek/flask-video-streaming | 3c1fdff06f794f80e5d259f15bb6bbf4992e12c2 | [
"MIT"
] | null | null | null | detect.py | jskrzypek/flask-video-streaming | 3c1fdff06f794f80e5d259f15bb6bbf4992e12c2 | [
"MIT"
] | null | null | null | #import numpy as np
import cv2
import os
print("Path at terminal when executing this file")
print(os.getcwd())
# Load our cascade classifier from cars3.xml
car_cascade = cv2.CascadeClassifier(r'classifier/banana_classifier.xml')
image = cv2.imread('images/image1.jpg')
# Crop so that only the roads remain, eliminati... | 27.153846 | 72 | 0.725212 |
eeed068009dbadfe4245fda179368d09693259cf | 992 | py | Python | testsuite/driver/src/api/mplfe.py | MapleSystem/OpenArkCompiler | fc250857642ca38ac8b83ae7486513fadf3ab742 | [
"MulanPSL-1.0"
] | null | null | null | testsuite/driver/src/api/mplfe.py | MapleSystem/OpenArkCompiler | fc250857642ca38ac8b83ae7486513fadf3ab742 | [
"MulanPSL-1.0"
] | null | null | null | testsuite/driver/src/api/mplfe.py | MapleSystem/OpenArkCompiler | fc250857642ca38ac8b83ae7486513fadf3ab742 | [
"MulanPSL-1.0"
] | null | null | null | #
# Copyright (c) [2021] Huawei Technologies Co.,Ltd.All rights reserved.
#
# OpenArkCompiler is licensed under Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan PSL v2.
#
# http://license.coscl.org.cn/MulanPSL2
#
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WA... | 34.206897 | 89 | 0.717742 |
99b0deef656d5a003ae7337d63824568e0762665 | 5,970 | py | Python | openstates/scrape/schemas/bill.py | csnardi/openstates-core | f08d6365cfefcdc3088a722e36a46b6b0b2e1d9c | [
"MIT"
] | null | null | null | openstates/scrape/schemas/bill.py | csnardi/openstates-core | f08d6365cfefcdc3088a722e36a46b6b0b2e1d9c | [
"MIT"
] | null | null | null | openstates/scrape/schemas/bill.py | csnardi/openstates-core | f08d6365cfefcdc3088a722e36a46b6b0b2e1d9c | [
"MIT"
] | null | null | null | """
Schema for bill objects.
"""
import copy
from .common import sources, extras, fuzzy_date_blank, fuzzy_datetime
from ...data import common
versions_or_documents = {
"items": {
"properties": {
"note": {"type": "string", "minLength": 1},
"date": fuzzy_date_blank,
"c... | 35.325444 | 82 | 0.358124 |
bd91044ae9007d44bf0785854fa2575f1ab41592 | 8,862 | py | Python | tests/train/test_classif_mnist.py | crim-ca/thelper | 1415144cf70e4492c2ef00f834e2b9a988064a76 | [
"Apache-2.0"
] | null | null | null | tests/train/test_classif_mnist.py | crim-ca/thelper | 1415144cf70e4492c2ef00f834e2b9a988064a76 | [
"Apache-2.0"
] | null | null | null | tests/train/test_classif_mnist.py | crim-ca/thelper | 1415144cf70e4492c2ef00f834e2b9a988064a76 | [
"Apache-2.0"
] | 1 | 2020-02-17T14:14:46.000Z | 2020-02-17T14:14:46.000Z | import copy
import os
import shutil
from typing import Any, Optional # noqa: F401
import numpy as np
import pytest
import torch
import thelper
test_save_path = ".pytest_cache"
test_classif_mnist_name = "test-classif-mnist"
test_classif_mnist_path = os.path.join(test_save_path, test_classif_mnist_name)
test_classif... | 40.099548 | 113 | 0.558903 |
272d2f742f3047d8e70637c087cafa8274ad7431 | 350 | py | Python | thonny/__main__.py | binbinyouli1314/thonny | 895674b800f4fd94189bed6ce0ac23067c0eecfb | [
"MIT"
] | 1 | 2019-02-12T06:10:53.000Z | 2019-02-12T06:10:53.000Z | thonny/__main__.py | binbinyouli1314/thonny | 895674b800f4fd94189bed6ce0ac23067c0eecfb | [
"MIT"
] | null | null | null | thonny/__main__.py | binbinyouli1314/thonny | 895674b800f4fd94189bed6ce0ac23067c0eecfb | [
"MIT"
] | null | null | null | import sys
import runpy
if sys.executable.endswith("thonny.exe"):
# otherwise some library may try to run its subprocess with thonny.exe
sys.executable = sys.executable[:-len("thonny.exe")] + "pythonw.exe"
from thonny import launch
try:
runpy.run_module("thonny.customize", run_name="__main__")
except Imp... | 20.588235 | 74 | 0.728571 |
064f03fee3ed7850909dc928fea06a9bdba71dfe | 2,376 | py | Python | process_excel.py | Cynthia7979/random-word-list-generator | c976bf8775d38af42cc8ee35060ecd2035ed7083 | [
"MIT"
] | null | null | null | process_excel.py | Cynthia7979/random-word-list-generator | c976bf8775d38af42cc8ee35060ecd2035ed7083 | [
"MIT"
] | null | null | null | process_excel.py | Cynthia7979/random-word-list-generator | c976bf8775d38af42cc8ee35060ecd2035ed7083 | [
"MIT"
] | null | null | null | # Processes formatted excel file into csv. See sources/托福红宝词汇45天突破版.xls
import xlrd
import csv
import argparse
import sys, os
def main():
words_column = 2
meanings_column = 3
word_list_end_identifier = lambda row, sheet: sheet.cell_value(row, words_column) == ''
workbook_path = './托福红宝词汇45天... | 43.2 | 119 | 0.641414 |
4f09c0f904fe6cc31a39cf823dd18f18892a7070 | 192,345 | py | Python | mesonbuild/interpreter.py | Hi-Angel/meson | b4347ca4a98b148ba7f7908c3d96f393294df122 | [
"Apache-2.0"
] | null | null | null | mesonbuild/interpreter.py | Hi-Angel/meson | b4347ca4a98b148ba7f7908c3d96f393294df122 | [
"Apache-2.0"
] | null | null | null | mesonbuild/interpreter.py | Hi-Angel/meson | b4347ca4a98b148ba7f7908c3d96f393294df122 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012-2018 The Meson development team
# 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... | 45.851013 | 228 | 0.613273 |
a2669652042f37d08074ba7c4dae208df0a1a2a3 | 5,428 | py | Python | src/image.py | WenbinFei/revamp | 6c6bbba624caf55baf85def4cbfc989344aa3aec | [
"MIT"
] | null | null | null | src/image.py | WenbinFei/revamp | 6c6bbba624caf55baf85def4cbfc989344aa3aec | [
"MIT"
] | null | null | null | src/image.py | WenbinFei/revamp | 6c6bbba624caf55baf85def4cbfc989344aa3aec | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright (c) 2020, Wenbin Fei, Email: wenbinfei@gmail.com
# All rights reserved.
"""
Have fun with images
====================
"""
import logging.config
import time
import traceback
import os
import numpy as np
import cv2
# Create logger
import logger_ini
logger = l... | 36.186667 | 109 | 0.614038 |
81c11b915bb67f5c73388ce35882d0e1dbdf2392 | 3,311 | py | Python | .history/galleria/settings_20201114121308.py | Nyash-Mauro/galleria | 350519827cf86a7af3c334dfedb69c1452e4122a | [
"MIT"
] | null | null | null | .history/galleria/settings_20201114121308.py | Nyash-Mauro/galleria | 350519827cf86a7af3c334dfedb69c1452e4122a | [
"MIT"
] | null | null | null | .history/galleria/settings_20201114121308.py | Nyash-Mauro/galleria | 350519827cf86a7af3c334dfedb69c1452e4122a | [
"MIT"
] | null | null | null | """
Django settings for galleria project.
Generated by 'django-admin startproject' using Django 3.1.3.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathli... | 25.274809 | 91 | 0.699185 |
203145c7c1c52cc202731491f2c6b358e8f009e6 | 1,432 | py | Python | ketiga/cileunyi/shp/main.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 2 | 2020-02-09T14:47:07.000Z | 2020-02-09T14:47:12.000Z | ketiga/cileunyi/shp/main.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 12 | 2019-12-11T06:45:59.000Z | 2020-01-06T09:35:35.000Z | ketiga/cileunyi/shp/main.py | alitkurniawan48/BelajarGIS | c52556bc6fa74b849b9c3461410805807b742967 | [
"MIT"
] | 71 | 2019-12-09T13:52:54.000Z | 2021-05-28T16:19:09.000Z | import cileunyi
cileunyi = cileunyi.Cileunyi()
#Harun Ar - Rasyid - 1174027
cileunyi.desaCibiruHilir('Desa Cibiru Hilir')
#Harun Ar - Rasyid - 1174027
cileunyi.desaCileunyi('Desa Cileunyi')
#Kadek Diva Krishna Murti - 1174006
cileunyi.desaCileunyiWetan('Desa Cileunyi Wetan')
#Nico Ekklesia Sembiring - 1174096
cileuny... | 37.684211 | 66 | 0.817039 |
8bf716be8df4ec8f523708dfe3a3e897fa7f9dd0 | 641 | py | Python | test/vanilla/Expected/AcceptanceTests/RequiredOptional/requiredoptional/operations/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/vanilla/Expected/AcceptanceTests/RequiredOptional/requiredoptional/operations/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/vanilla/Expected/AcceptanceTests/RequiredOptional/requiredoptional/operations/__init__.py | qwordy/autorest.python | 6b12df51c2a39a1285546b5a771b69f5896e794f | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 40.0625 | 94 | 0.600624 |
4ae934af1f521469010b855662591cb7da5a9784 | 160 | py | Python | tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_LinearTrend_Seasonal_DayOfMonth_SVR.py | shaido987/pyaf | b9afd089557bed6b90b246d3712c481ae26a1957 | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_LinearTrend_Seasonal_DayOfMonth_SVR.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/model_control/detailed/transf_Logit/model_control_one_enabled_Logit_LinearTrend_Seasonal_DayOfMonth_SVR.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Logit'] , ['LinearTrend'] , ['Seasonal_DayOfMonth'] , ['SVR'] ); | 40 | 87 | 0.75625 |
9da14cace2c0a66351ccb4699ee8e62bc4f3a711 | 325 | py | Python | deeppavlov/_meta.py | deepmipt/pilot | 67384e1b026ebb8ba6794a05613dd036e86635ec | [
"Apache-2.0"
] | null | null | null | deeppavlov/_meta.py | deepmipt/pilot | 67384e1b026ebb8ba6794a05613dd036e86635ec | [
"Apache-2.0"
] | null | null | null | deeppavlov/_meta.py | deepmipt/pilot | 67384e1b026ebb8ba6794a05613dd036e86635ec | [
"Apache-2.0"
] | null | null | null | __version__ = '0.17.3'
__author__ = 'Neural Networks and Deep Learning lab, MIPT'
__description__ = 'An open source library for building end-to-end dialog systems and training chatbots.'
__keywords__ = ['NLP', 'NER', 'SQUAD', 'Intents', 'Chatbot']
__license__ = 'Apache License, Version 2.0'
__email__ = 'info@deeppavlov... | 46.428571 | 104 | 0.741538 |
789131f6cb66fd1536a52290d841d16d51e6fb35 | 1,280 | py | Python | lightautoml/tasks/utils.py | PhySci/LightAutoML | e860991ba36361629fe9e11e034c5e976fe4219b | [
"Apache-2.0"
] | 1 | 2021-10-02T05:28:16.000Z | 2021-10-02T05:28:16.000Z | lightautoml/tasks/utils.py | DESimakov/LightAutoML | 2eaa05b27c63c613965d50cdb7d52da5d245d9af | [
"Apache-2.0"
] | null | null | null | lightautoml/tasks/utils.py | DESimakov/LightAutoML | 2eaa05b27c63c613965d50cdb7d52da5d245d9af | [
"Apache-2.0"
] | null | null | null | """."""
from typing import Callable
import numpy as np
def infer_gib(metric: Callable) -> bool:
"""Infer greater is better from metric.
Args:
metric: Score or loss function.
Returns:
```True``` if grater is better.
Raises:
AssertionError: If there is no way to order the pr... | 21.694915 | 80 | 0.590625 |
463ece0f7be59780e121719edd7c6b09d8a810d7 | 6,639 | py | Python | pygks/reg_gng.py | sbxzy/pygks_package | 9e2c4910ee0eb83e6fa710f97aa39dde285bc761 | [
"BSD-3-Clause"
] | null | null | null | pygks/reg_gng.py | sbxzy/pygks_package | 9e2c4910ee0eb83e6fa710f97aa39dde285bc761 | [
"BSD-3-Clause"
] | null | null | null | pygks/reg_gng.py | sbxzy/pygks_package | 9e2c4910ee0eb83e6fa710f97aa39dde285bc761 | [
"BSD-3-Clause"
] | null | null | null | """GNG regressor"""
from . import gng2
from .kde import density
from .__gaussian_custom import norm_pdf_multivariate
from numpy import array,diag,matrix
import time
from pygraph.classes.graph import graph
from pygraph.algorithms.accessibility import connected_components
import itertools
from .gks import GKS
from copy i... | 42.832258 | 205 | 0.595421 |
63826b89c4d07d4a48754b219322427c80da2fe5 | 430 | py | Python | real-world-examples/turtle-examples/square-circle-loop-turtle.py | sumanchary86/learning-python | 99ae9c31d62a07d1363b67f22f93173730346d76 | [
"MIT"
] | 19 | 2019-08-30T06:51:52.000Z | 2022-03-11T18:44:29.000Z | real-world-examples/turtle-examples/square-circle-loop-turtle.py | jassics/learning-python | b8865126e96ae79c45759186573e84d4eb11bde9 | [
"MIT"
] | 9 | 2020-02-14T09:21:20.000Z | 2022-03-08T09:38:09.000Z | real-world-examples/turtle-examples/square-circle-loop-turtle.py | sumanchary86/learning-python | 99ae9c31d62a07d1363b67f22f93173730346d76 | [
"MIT"
] | 12 | 2020-07-20T18:49:45.000Z | 2021-12-18T11:20:03.000Z | import turtle
def draw_square(some_turtle_name):
for i in range(1,5):
some_turtle_name.forward(100)
some_turtle_name.right(90)
def draw_art():
window = turtle.Screen()
window.bgcolor('red')
brad = turtle.Turtle()
brad.shape('turtle')
brad.color('yellow')
brad.speed(2)
... | 17.916667 | 37 | 0.627907 |
9629a08d978eae11d011f36573f5fd9244635535 | 183,901 | py | Python | src/azure-cli/azure/cli/command_modules/acs/custom.py | istavrinides/azure-cli | fd310add0dfe78ae568d38ba85748c51fd83556c | [
"MIT"
] | 1 | 2021-05-03T21:33:51.000Z | 2021-05-03T21:33:51.000Z | src/azure-cli/azure/cli/command_modules/acs/custom.py | istavrinides/azure-cli | fd310add0dfe78ae568d38ba85748c51fd83556c | [
"MIT"
] | null | null | null | src/azure-cli/azure/cli/command_modules/acs/custom.py | istavrinides/azure-cli | fd310add0dfe78ae568d38ba85748c51fd83556c | [
"MIT"
] | 1 | 2021-03-02T09:26:15.000Z | 2021-03-02T09:26:15.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 45.860599 | 222 | 0.650339 |
6fcb4244480f24d2f1e653715e0c74f7642ab8c1 | 1,159 | py | Python | data/p2DJ/New/R2/benchmark/startPyquil189.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/R2/benchmark/startPyquil189.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/R2/benchmark/startPyquil189.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=2
# total number=12
import pyquil
from pyquil.api import local_forest_runtime, QVMConnection
from pyquil import Program, get_qc
from pyquil.gates import *
import numpy as np
conn = QVMConnection()
def make_circuit()-> Program:
prog = Program() # circuit begin
prog += H(0) # number=1
p... | 22.288462 | 64 | 0.603969 |
95a8324d4aa05cf260cdf71829cd9f559f201db5 | 2,619 | py | Python | SarvLibrary/ErrorCorrection/bloocoo/test/bloocootest/libs/TestExec.py | cwright7101/llvm_sarvavid | 7567d617a7be78fecfde71ab04ebd8e9506a64e4 | [
"MIT"
] | null | null | null | SarvLibrary/ErrorCorrection/bloocoo/test/bloocootest/libs/TestExec.py | cwright7101/llvm_sarvavid | 7567d617a7be78fecfde71ab04ebd8e9506a64e4 | [
"MIT"
] | null | null | null | SarvLibrary/ErrorCorrection/bloocoo/test/bloocootest/libs/TestExec.py | cwright7101/llvm_sarvavid | 7567d617a7be78fecfde71ab04ebd8e9506a64e4 | [
"MIT"
] | null | null | null |
import os
from os import listdir
from os.path import exists, isfile, join, basename, splitext, getsize
import shutil
from math import ceil
from TestReadCorrection import *
#-------------------------------------------------------------
# * setup_test
#
#Prepare the tests for a new genome
#Currently this method:
# - d... | 34.92 | 127 | 0.589156 |
8b8f948a83bdde3179cb1b92e1ec2d43efd480cc | 10,236 | py | Python | bootstrap/p1.5.0/src/operations/tenant_validator.py | apurwaj2/df-on-k8s | 1aecb0bc293d008c5a2384df32ad434bfcc51caa | [
"Apache-2.0"
] | null | null | null | bootstrap/p1.5.0/src/operations/tenant_validator.py | apurwaj2/df-on-k8s | 1aecb0bc293d008c5a2384df32ad434bfcc51caa | [
"Apache-2.0"
] | null | null | null | bootstrap/p1.5.0/src/operations/tenant_validator.py | apurwaj2/df-on-k8s | 1aecb0bc293d008c5a2384df32ad434bfcc51caa | [
"Apache-2.0"
] | null | null | null | import os
import subprocess
import base64
import time
from common.mapr_exceptions.ex import NotFoundException
from common.mapr_logger.log import Log
from common.const import Constants
from operations.operationsbase import OperationsBase
from operations.yamlfile import YamlFile
# Purpose:
# functions in this class h... | 52.762887 | 118 | 0.644295 |
a7c5bb4f3f5a06488252b6c7ae19b079455557d0 | 2,492 | py | Python | scripts/hiddenapi/signature_patterns.py | t-head-aosp/platform-build-soong | 582fc2d1dde6c70687e6a0bea192f2a2ef67bbd5 | [
"Apache-2.0"
] | null | null | null | scripts/hiddenapi/signature_patterns.py | t-head-aosp/platform-build-soong | 582fc2d1dde6c70687e6a0bea192f2a2ef67bbd5 | [
"Apache-2.0"
] | null | null | null | scripts/hiddenapi/signature_patterns.py | t-head-aosp/platform-build-soong | 582fc2d1dde6c70687e6a0bea192f2a2ef67bbd5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (C) 2021 The Android Open Source Project
#
# 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 req... | 37.19403 | 146 | 0.713483 |
5ba66e2cdd66ae27f4d45c3e4665dc515a693dff | 715 | py | Python | mergify_engine/tests/__init__.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/tests/__init__.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/tests/__init__.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Copyright © 2019 Mehdi Abaakouk <sileht@sileht.net>
#
# 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
#
# Unles... | 29.791667 | 75 | 0.746853 |
9d188c7738bdd426cadea81ee82b27e3c5f2b676 | 371 | py | Python | openprescribing/frontend/migrations/0008_auto_20161121_1236.py | annapowellsmith/openpresc | cfa9fb07d6fc2ee304159c04fcc132cefcf78745 | [
"MIT"
] | 91 | 2015-10-14T09:10:32.000Z | 2022-03-10T22:09:21.000Z | openprescribing/frontend/migrations/0008_auto_20161121_1236.py | annapowellsmith/openpresc | cfa9fb07d6fc2ee304159c04fcc132cefcf78745 | [
"MIT"
] | 1,828 | 2015-12-04T14:52:27.000Z | 2022-03-31T08:51:14.000Z | openprescribing/frontend/migrations/0008_auto_20161121_1236.py | HDRUK/openprescribing | 510e8c07e841cd42284c109774d1730b6463f376 | [
"MIT"
] | 27 | 2015-12-03T18:26:56.000Z | 2021-01-09T21:58:53.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.1 on 2016-11-21 12:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('frontend', '0007_add_cost_per_fields'),
]
operations = [
migrations.RemoveField(
model_name='prescripti... | 18.55 | 49 | 0.592992 |
d55d0b76ae528252498e5b6855900fd8d7f1c19d | 875 | py | Python | RAT.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 375 | 2020-03-17T06:20:50.000Z | 2022-03-29T22:27:23.000Z | RAT.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 44 | 2020-04-06T22:37:59.000Z | 2020-11-15T15:53:39.000Z | RAT.py | HugoMskn/Telegram-RAT | 53989b2509b1c844c6a33f670aece5f8dbf15305 | [
"MIT"
] | 173 | 2020-04-01T17:17:26.000Z | 2022-03-24T13:28:15.000Z | from API import *
# Token/ID
TelegramToken = 'TOKEN'
TelegramChatID = 'ID'
# Run the script as administrator
AdminRightsRequired = False
# Disable Task Manager at first start
DisableTaskManager = False
# Disable Registry Editor at first start
DisableRegistryTools = False
# Process protection from ... | 23.026316 | 51 | 0.740571 |
da1a5a9cb5d31889229861bd19300a36b4dbc317 | 1,122 | py | Python | datacombine/datacombine/migrations/0004_auto_20170828_0145.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | null | null | null | datacombine/datacombine/migrations/0004_auto_20170828_0145.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | 3 | 2020-02-11T23:14:53.000Z | 2021-06-10T18:32:57.000Z | datacombine/datacombine/migrations/0004_auto_20170828_0145.py | Crimson-Star-Software/data-combine | 3209ae2316afc38417e51c3261494d6e7d2e4e2a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-28 01:45
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('datacombine', '0003_auto_20170826_1452'),
]
operations = [
migrations.Alter... | 27.365854 | 63 | 0.57041 |
5baecd15c357cc3e7d4057cf878fddcdbf32eb36 | 2,591 | py | Python | rasa/core/channels/callback.py | Tao2301230/rasa_learn | 50093cbc696ee72fec81ab69d74a80399c6277ca | [
"Apache-2.0"
] | 1 | 2020-09-23T11:04:38.000Z | 2020-09-23T11:04:38.000Z | rasa/core/channels/callback.py | Tao2301230/rasa_learn | 50093cbc696ee72fec81ab69d74a80399c6277ca | [
"Apache-2.0"
] | null | null | null | rasa/core/channels/callback.py | Tao2301230/rasa_learn | 50093cbc696ee72fec81ab69d74a80399c6277ca | [
"Apache-2.0"
] | null | null | null | import logging
from typing import Text, Dict, Optional, Callable, Awaitable, Any
from sanic import Blueprint, response
from sanic.request import Request
from rasa.core.channels.channel import (
CollectingOutputChannel,
UserMessage,
InputChannel,
)
from rasa.core.channels.rest import RestInput
from rasa.ut... | 34.546667 | 122 | 0.702817 |
30f73567e8bbdd640429b343ab1bd599c603702f | 3,058 | py | Python | noise_histo.py | mazpar/G305-paper-2 | 5afcd372de9819fc6a9b816f13c6b14bfc50d3d7 | [
"MIT"
] | null | null | null | noise_histo.py | mazpar/G305-paper-2 | 5afcd372de9819fc6a9b816f13c6b14bfc50d3d7 | [
"MIT"
] | null | null | null | noise_histo.py | mazpar/G305-paper-2 | 5afcd372de9819fc6a9b816f13c6b14bfc50d3d7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 22 12:09:31 2021
Draw histogram of noise distribution in fits map
@author: pmazumdar
"""
from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import aplpy
import seaborn as sns
import scipy.stats as sst
#filepath = "/home... | 29.12381 | 79 | 0.631785 |
df304545ff21a101acf704dcc71075628e6c719e | 4,646 | py | Python | training.py | aprams/small-data-classification | 5f6c3042fc792d31756168a2c88251ee6de1d7e0 | [
"MIT"
] | 1 | 2018-07-02T20:20:04.000Z | 2018-07-02T20:20:04.000Z | training.py | aprams/small-data-classification | 5f6c3042fc792d31756168a2c88251ee6de1d7e0 | [
"MIT"
] | null | null | null | training.py | aprams/small-data-classification | 5f6c3042fc792d31756168a2c88251ee6de1d7e0 | [
"MIT"
] | null | null | null | import data_augment
import nail_model
import argparse
import os
import glob
import numpy as np
import keras
import json
import matplotlib.pyplot as plt
import scipy.misc
from keras.preprocessing.image import ImageDataGenerator
from sklearn.model_selection import train_test_split
from keras.applications.mobilenetv2 impo... | 39.042017 | 163 | 0.716315 |
e3d2395607346936b80fe9dbecc816288a5db6f5 | 13,314 | py | Python | sites/sandbox/settings.py | Idematica/django-oscar | 242a0654210d63ba75f798788916c8b2f7abb7fb | [
"BSD-3-Clause"
] | null | null | null | sites/sandbox/settings.py | Idematica/django-oscar | 242a0654210d63ba75f798788916c8b2f7abb7fb | [
"BSD-3-Clause"
] | null | null | null | sites/sandbox/settings.py | Idematica/django-oscar | 242a0654210d63ba75f798788916c8b2f7abb7fb | [
"BSD-3-Clause"
] | null | null | null | import os
# Path helper
PROJECT_DIR = os.path.dirname(__file__)
location = lambda x: os.path.join(
os.path.dirname(os.path.realpath(__file__)), x)
USE_TZ = True
DEBUG = True
TEMPLATE_DEBUG = True
SQL_DEBUG = True
SEND_BROKEN_LINK_EMAILS = False
ALLOWED_HOSTS = ['latest.oscarcommerce.com',
'sand... | 30.054176 | 83 | 0.648941 |
1c2d1fc8a2b5942f018d1861c44ee51d2467d88e | 1,886 | py | Python | src/extended_webdrivers/frame.py | dillonm197/extended-webdrivers | 9cb4cdb75f37c66ee1ac7fa13b947ae3bcb17863 | [
"MIT"
] | null | null | null | src/extended_webdrivers/frame.py | dillonm197/extended-webdrivers | 9cb4cdb75f37c66ee1ac7fa13b947ae3bcb17863 | [
"MIT"
] | null | null | null | src/extended_webdrivers/frame.py | dillonm197/extended-webdrivers | 9cb4cdb75f37c66ee1ac7fa13b947ae3bcb17863 | [
"MIT"
] | 1 | 2019-08-07T01:48:36.000Z | 2019-08-07T01:48:36.000Z | class Frame:
""" Base class for handling switching to and from iframes using context managers. """
def __init__(self, child_frame):
self.driver = child_frame.parent
assert child_frame.tag_name.lower() == 'iframe'
self.child_frame = child_frame
def _switch_to(self):
""" Swit... | 35.584906 | 89 | 0.662248 |
5e7ce3dc184cb55630a63d0518ec34c899e72db3 | 765 | py | Python | training_data/parse_data.py | Occupyig-Mars/alter-nlu | d689b0a589216e85f59a0073f8415c5d22b679f8 | [
"Apache-2.0"
] | 21 | 2019-02-25T21:47:15.000Z | 2019-12-26T08:59:44.000Z | training_data/parse_data.py | Occupyig-Mars/alter-nlu | d689b0a589216e85f59a0073f8415c5d22b679f8 | [
"Apache-2.0"
] | null | null | null | training_data/parse_data.py | Occupyig-Mars/alter-nlu | d689b0a589216e85f59a0073f8415c5d22b679f8 | [
"Apache-2.0"
] | 9 | 2020-02-26T06:31:31.000Z | 2022-01-24T10:22:35.000Z | import pandas as pd
# get structured data
def get_data(val):
botName = val['botName']
entity = pd.io.json.json_normalize(val['entity_data'], record_path='data', meta='name')
train = pd.io.json.json_normalize(val['intent_data']).drop(['entities'], axis=1).drop_duplicates()
intent_entity = list(set(pd.i... | 40.263158 | 134 | 0.657516 |
d3ba290d1e91e7982a52c613557280665ee81de3 | 1,567 | py | Python | examples/split_data_for_unbiased_estimation.py | PGBI/Surprise | 76e47037675afc6c0fb017490a88d1b2b2dff0f7 | [
"BSD-3-Clause"
] | 5,572 | 2016-11-24T08:21:53.000Z | 2022-03-31T20:35:00.000Z | examples/split_data_for_unbiased_estimation.py | daihui-lu/Surprise | 46b9914995e6c8c7d227b46f2eaeef2d4600580f | [
"BSD-3-Clause"
] | 393 | 2016-11-22T12:48:00.000Z | 2022-03-26T15:09:53.000Z | examples/split_data_for_unbiased_estimation.py | daihui-lu/Surprise | 46b9914995e6c8c7d227b46f2eaeef2d4600580f | [
"BSD-3-Clause"
] | 1,096 | 2016-12-08T22:01:57.000Z | 2022-03-29T03:55:54.000Z | """
This module descibes how to split a dataset into two parts A and B: A is for
tuning the algorithm parameters, and B is for having an unbiased estimation of
its performances. The tuning is done by Grid Search.
"""
from __future__ import (absolute_import, division, print_function,
unicode_lit... | 29.018519 | 78 | 0.749202 |
6c295380242cd79dd3f66866d3d86b80e81f20cf | 2,523 | py | Python | tests/integration/enforcementlevel/policy-pack-python/__main__.py | rsclarke-vgw/pulumi-policy | 053a5d3608432ff945bafbd7c8d5a8ffde0d3498 | [
"Apache-2.0"
] | 19 | 2019-11-23T16:12:20.000Z | 2022-01-19T19:34:57.000Z | tests/integration/enforcementlevel/policy-pack-python/__main__.py | rsclarke-vgw/pulumi-policy | 053a5d3608432ff945bafbd7c8d5a8ffde0d3498 | [
"Apache-2.0"
] | 160 | 2019-08-21T21:40:01.000Z | 2022-02-13T10:52:35.000Z | tests/integration/enforcementlevel/policy-pack-python/__main__.py | rsclarke-vgw/pulumi-policy | 053a5d3608432ff945bafbd7c8d5a8ffde0d3498 | [
"Apache-2.0"
] | 5 | 2019-09-03T17:14:06.000Z | 2021-07-13T04:25:05.000Z | # Copyright 2016-2020, Pulumi Corporation. All rights reserved.
from typing import List, NamedTuple, Optional
from pulumi import Config
from pulumi_policy import (
EnforcementLevel,
PolicyPack,
ResourceValidationPolicy,
StackValidationPolicy,
)
class Scenario(NamedTuple):
pack: Optional[Enforc... | 30.39759 | 109 | 0.731272 |
ab9623ddf8cd6b9cfd10039b659a558a409067ba | 2,635 | py | Python | tests/extmod/vfs_fat_fileio2.py | MakeItZone/circuitpython | 7f803c0b51c333210ed267502422ed7bb28b9be7 | [
"Unlicense",
"BSD-3-Clause",
"MIT-0",
"MIT"
] | 36 | 2017-05-20T21:11:49.000Z | 2022-01-30T18:36:45.000Z | tests/extmod/vfs_fat_fileio2.py | MakeItZone/circuitpython | 7f803c0b51c333210ed267502422ed7bb28b9be7 | [
"Unlicense",
"BSD-3-Clause",
"MIT-0",
"MIT"
] | 6 | 2018-06-01T15:12:52.000Z | 2022-01-11T00:10:28.000Z | tests/extmod/vfs_fat_fileio2.py | MakeItZone/circuitpython | 7f803c0b51c333210ed267502422ed7bb28b9be7 | [
"Unlicense",
"BSD-3-Clause",
"MIT-0",
"MIT"
] | 6 | 2021-05-12T20:45:46.000Z | 2021-12-27T04:51:56.000Z | try:
import uerrno
import uos
except ImportError:
print("SKIP")
raise SystemExit
try:
uos.VfsFat
except AttributeError:
print("SKIP")
raise SystemExit
class RAMFS:
SEC_SIZE = 512
def __init__(self, blocks):
self.data = bytearray(blocks * self.SEC_SIZE)
def readblock... | 22.521368 | 65 | 0.614801 |
7b8c944f1f73294a1464583e8d1285afbc1dbaac | 4,043 | py | Python | mypy/scope.py | Affirm/mypy | bc0b551d8df2baadc44f0c3b0b801fcc12119658 | [
"PSF-2.0"
] | 4 | 2018-10-19T04:36:20.000Z | 2020-02-13T16:14:09.000Z | mypy/scope.py | Affirm/mypy | bc0b551d8df2baadc44f0c3b0b801fcc12119658 | [
"PSF-2.0"
] | null | null | null | mypy/scope.py | Affirm/mypy | bc0b551d8df2baadc44f0c3b0b801fcc12119658 | [
"PSF-2.0"
] | 1 | 2019-02-13T04:45:01.000Z | 2019-02-13T04:45:01.000Z | """Track current scope to easily calculate the corresponding fine-grained target.
TODO: Use everywhere where we track targets, including in mypy.errors.
"""
from contextlib import contextmanager
from typing import List, Optional, Iterator, Tuple
from mypy.nodes import TypeInfo, FuncBase
class Scope:
"""Track w... | 32.869919 | 89 | 0.610438 |
e17aef8c65d113c1e58dfc72460ad4322a264b34 | 4,324 | py | Python | WebRequest/Handlers.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | 8 | 2018-06-04T09:34:28.000Z | 2021-09-16T15:21:24.000Z | WebRequest/Handlers.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | 4 | 2018-03-03T07:45:27.000Z | 2019-12-26T20:38:18.000Z | WebRequest/Handlers.py | ImportTaste/WebRequest | 0cc385622624de16ec980e0c12d9080d593cab74 | [
"WTFPL"
] | 1 | 2019-12-26T20:36:32.000Z | 2019-12-26T20:36:32.000Z | #!/usr/bin/python3
import sys
import codecs
import http.client
import email.parser
import urllib.request
import urllib.parse
import urllib.error
import os.path
import time
import http.cookiejar
import traceback
import logging
import zlib
import bs4
import re
import string
import gzip
import io
import socket
impor... | 29.216216 | 95 | 0.725717 |
e4700e15c8c8bb413ed08d0468170cae2f3db626 | 5,135 | py | Python | main.py | ddeeddii/mod-diagnosis-tool | 652ec02ebd395387504dd06f8c86ca3a1ef57cdf | [
"MIT"
] | null | null | null | main.py | ddeeddii/mod-diagnosis-tool | 652ec02ebd395387504dd06f8c86ca3a1ef57cdf | [
"MIT"
] | null | null | null | main.py | ddeeddii/mod-diagnosis-tool | 652ec02ebd395387504dd06f8c86ca3a1ef57cdf | [
"MIT"
] | null | null | null | import tkinter as tk
import tkinter.filedialog as fd
from xml.dom import minidom
import os
from math import floor
from datetime import datetime
# https://stackoverflow.com/questions/287871/how-to-print-colored-text-to-the-terminal
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
... | 30.02924 | 140 | 0.615385 |
d5eb441d2eaaeccd5e928fa5055d65885b949820 | 47,887 | py | Python | pygemfxns_output.py | Wang518hongyu/PyGEMwangtest | f6ff507681b45599d0ecce5be2e5292e94fd09f7 | [
"MIT"
] | null | null | null | pygemfxns_output.py | Wang518hongyu/PyGEMwangtest | f6ff507681b45599d0ecce5be2e5292e94fd09f7 | [
"MIT"
] | null | null | null | pygemfxns_output.py | Wang518hongyu/PyGEMwangtest | f6ff507681b45599d0ecce5be2e5292e94fd09f7 | [
"MIT"
] | null | null | null | """ Functions that pertain to creating and writing output for the model results."""
# External Libraries
import numpy as np
import netCDF4 as nc
from time import strftime
import matplotlib.pyplot as plt
# Local Libraries
import pygem_input as input
def netcdfcreate(filename, main_glac_rgi, main_glac_hyps,... | 61.551414 | 122 | 0.6654 |
b791bbc812e882200d65cfc37d7668bef69c2742 | 4,203 | py | Python | online/migrations/0001_initial.py | neosergio/hackatrix-api | 27f0180415efa97bd7345d100b314d8807486b67 | [
"Apache-2.0"
] | 1 | 2021-02-12T10:25:28.000Z | 2021-02-12T10:25:28.000Z | online/migrations/0001_initial.py | neosergio/hackatrix-api | 27f0180415efa97bd7345d100b314d8807486b67 | [
"Apache-2.0"
] | 7 | 2020-02-21T00:53:38.000Z | 2022-02-10T12:22:53.000Z | online/migrations/0001_initial.py | neosergio/hackatrix-api | 27f0180415efa97bd7345d100b314d8807486b67 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.10 on 2020-04-28 15:53
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
op... | 46.7 | 161 | 0.583155 |
a0e6c5fe18251081a220967a19c7569cd676c1b8 | 3,397 | py | Python | nemo/collections/nlp/data/text_normalization/constants.py | Vishaal-MK/NeMo | e842e2730b02539aba0860d20e7d6771d7dd07d2 | [
"Apache-2.0"
] | null | null | null | nemo/collections/nlp/data/text_normalization/constants.py | Vishaal-MK/NeMo | e842e2730b02539aba0860d20e7d6771d7dd07d2 | [
"Apache-2.0"
] | null | null | null | nemo/collections/nlp/data/text_normalization/constants.py | Vishaal-MK/NeMo | e842e2730b02539aba0860d20e7d6771d7dd07d2 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, NVIDIA CORPORATION. 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... | 27.617886 | 133 | 0.663527 |
ef5a761a3fa409ad1f4cf5160883d55714198729 | 1,064 | py | Python | scripts/addons/animation_nodes/nodes/matrix/transform_matrix.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/animation_nodes/nodes/matrix/transform_matrix.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/animation_nodes/nodes/matrix/transform_matrix.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | import bpy
from ... base_types import AnimationNode, VectorizedSocket
from . c_utils import multiplyMatrixWithList
class TransformMatrixNode(bpy.types.Node, AnimationNode):
bl_idname = "an_TransformMatrixNode"
bl_label = "Transform Matrix"
useMatrixList: VectorizedSocket.newProperty()
def create(self... | 34.322581 | 81 | 0.695489 |
94130d4cabe324f7da8b263102457c8b4c245b99 | 339 | py | Python | osf/migrations/0099_merge_20180426_0930.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | osf/migrations/0099_merge_20180426_0930.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | osf/migrations/0099_merge_20180426_0930.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-04-26 14:30
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('osf', '0098_merge_20180416_1807'),
('osf', '0096_add_provider_doi_prefixes'),
]
op... | 19.941176 | 50 | 0.663717 |
d2fa0cdff4e905d8ede65c3a590886400be92b88 | 759 | py | Python | usaspending_api/common/zip.py | g4brielvs/usaspending-api | bae7da2c204937ec1cdf75c052405b13145728d5 | [
"CC0-1.0"
] | 1 | 2020-08-14T04:14:32.000Z | 2020-08-14T04:14:32.000Z | usaspending_api/common/zip.py | g4brielvs/usaspending-api | bae7da2c204937ec1cdf75c052405b13145728d5 | [
"CC0-1.0"
] | null | null | null | usaspending_api/common/zip.py | g4brielvs/usaspending-api | bae7da2c204937ec1cdf75c052405b13145728d5 | [
"CC0-1.0"
] | null | null | null | from zipfile import ZipFile
def extract_single_file_zip(zip_file_path, destination_directory_path):
"""
Accepts a zip file path and destination directory path then extracts a single file from zip file
into the desintation directory. ZIP archive must contain one and only one file.
Returns the file pa... | 39.947368 | 100 | 0.711462 |
aa42e1d37a97d9b06309b795e6be2fb88203111c | 2,221 | py | Python | nnrl/nn/init.py | 0xangelo/nnrl | 559d36b6d17425d9d657c1dffbcf070955f73afb | [
"MIT"
] | null | null | null | nnrl/nn/init.py | 0xangelo/nnrl | 559d36b6d17425d9d657c1dffbcf070955f73afb | [
"MIT"
] | 7 | 2021-11-01T12:03:41.000Z | 2022-01-08T14:55:49.000Z | nnrl/nn/init.py | angelolovatto/nnrl | c925af1c6ecc6e2e999b782935f7e2c7dee1ba81 | [
"MIT"
] | null | null | null | """Utilities for module initialization."""
import functools
import inspect
from typing import Callable, Optional, Union
from torch import Tensor, nn
def get_initializer(name: Optional[str]) -> Callable[[Tensor], None]:
"""Return initializer function given its name.
Arguments:
name: The initializer f... | 29.223684 | 83 | 0.649707 |
05c9f3fb21bb4334040e88b84df62a7aca97026a | 1,121 | py | Python | blog/code/sl01.py | rodluger/rodluger.github.io | 1639d1d299901855a56415cce056b3640093ccb0 | [
"MIT"
] | 2 | 2020-06-30T14:32:02.000Z | 2021-03-01T07:10:28.000Z | blog/code/sl01.py | rodluger/rodluger.github.io | 1639d1d299901855a56415cce056b3640093ccb0 | [
"MIT"
] | 2 | 2017-09-07T20:12:55.000Z | 2020-09-18T19:03:16.000Z | blog/code/sl01.py | rodluger/rodluger.github.io | 1639d1d299901855a56415cce056b3640093ccb0 | [
"MIT"
] | 4 | 2018-11-28T12:19:51.000Z | 2022-03-08T20:03:43.000Z | import matplotlib.pyplot as plt
# True values
alpha_true = 2.0
beta_true = 0.33
# Array of alpha values to test
alpha_arr = np.linspace(1.5, 2.5, 1000)
# Let's simulate 50 different `y` datasets, each with k=1000 points
np.random.seed(0)
for k in range(50):
# Draw our data: this is what we observe
y = Beta.... | 32.028571 | 79 | 0.681534 |
a22039d76982005643bb6c34a53658b65e9595b7 | 354 | py | Python | rllib/agents/dreamer/__init__.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 1 | 2019-06-19T02:23:43.000Z | 2019-06-19T02:23:43.000Z | rllib/agents/dreamer/__init__.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 73 | 2021-09-25T07:11:39.000Z | 2022-03-26T07:10:59.000Z | rllib/agents/dreamer/__init__.py | willfrey/ray | 288a81b42ef0186ab4db33b30191614a7bdb69f6 | [
"Apache-2.0"
] | 1 | 2019-09-24T16:24:49.000Z | 2019-09-24T16:24:49.000Z | from ray.rllib.algorithms.dreamer.dreamer import (
DREAMERConfig,
DREAMERTrainer,
DEFAULT_CONFIG,
)
__all__ = [
"DREAMERConfig",
"DREAMERTrainer",
"DEFAULT_CONFIG",
]
from ray.rllib.utils.deprecation import deprecation_warning
deprecation_warning(
"ray.rllib.agents.dreamer", "ray.rllib.a... | 18.631579 | 75 | 0.731638 |
66f169c05924909072ffed20a5a4bb3117615e1a | 1,494 | py | Python | uavcan_gui_tool/thirdparty/pyqtgraph/widgets/PathButton.py | PonomarevDA/inno_uavcan_VTOL_interface | 76bea66096f1eff72ccc8302b15b6844a66edb2d | [
"MIT"
] | null | null | null | uavcan_gui_tool/thirdparty/pyqtgraph/widgets/PathButton.py | PonomarevDA/inno_uavcan_VTOL_interface | 76bea66096f1eff72ccc8302b15b6844a66edb2d | [
"MIT"
] | null | null | null | uavcan_gui_tool/thirdparty/pyqtgraph/widgets/PathButton.py | PonomarevDA/inno_uavcan_VTOL_interface | 76bea66096f1eff72ccc8302b15b6844a66edb2d | [
"MIT"
] | null | null | null | from .. import functions as fn
from ..Qt import QtGui, QtCore
__all__ = ['PathButton']
class PathButton(QtGui.QPushButton):
"""Simple PushButton extension which paints a QPainterPath on its face"""
def __init__(self, parent=None, path=None, pen='default', brush=None, size=(30, 30)):
QtGui.QPushButton... | 31.125 | 106 | 0.592369 |
d219aec9c6c6b46d61cf5c219d90755dd4dae112 | 386 | py | Python | users/migrations/0004_profile_status.py | dizzyplay/djangoboard | 99eb7cedca2772d78577974051b78dd522b90bd3 | [
"MIT"
] | null | null | null | users/migrations/0004_profile_status.py | dizzyplay/djangoboard | 99eb7cedca2772d78577974051b78dd522b90bd3 | [
"MIT"
] | 6 | 2020-02-11T23:38:07.000Z | 2021-09-08T00:42:36.000Z | users/migrations/0004_profile_status.py | dizzyplay/djangoboard | 99eb7cedca2772d78577974051b78dd522b90bd3 | [
"MIT"
] | 1 | 2019-03-21T17:43:42.000Z | 2019-03-21T17:43:42.000Z | # Generated by Django 2.1.2 on 2018-11-13 14:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0003_auto_20181113_2112'),
]
operations = [
migrations.AddField(
model_name='profile',
name='status',
... | 20.315789 | 53 | 0.598446 |
4cd714fe71c8a4a589db895b747713b2d2d444a0 | 115 | py | Python | compressible_sr/problems/__init__.py | zooechiu/pyro2 | 51874476e9c3c3c412c66850ab819ca70af0b20c | [
"BSD-3-Clause"
] | 151 | 2018-08-14T12:52:22.000Z | 2022-03-29T07:57:01.000Z | compressible_sr/problems/__init__.py | gfjykldd/pyro2 | b0ca4aa7b1b0f0d445c6a8d0ab63fcc0bc8a431c | [
"BSD-3-Clause"
] | 40 | 2015-03-25T15:45:44.000Z | 2018-07-30T18:48:47.000Z | compressible_sr/problems/__init__.py | gfjykldd/pyro2 | b0ca4aa7b1b0f0d445c6a8d0ab63fcc0bc8a431c | [
"BSD-3-Clause"
] | 56 | 2018-10-10T16:54:59.000Z | 2022-02-06T08:48:52.000Z | __all__ = ['acoustic_pulse', 'advect', 'bubble', 'hse', 'kh', 'logo', 'quad', 'rt', 'rt2', 'sedov', 'sod', 'test']
| 57.5 | 114 | 0.547826 |
898bbf833b6abc7181ce6173fac8c1816a50d18d | 7,696 | py | Python | tests/common/checks/test_base_check_registry.py | antonblr/checkov | 9415c6593c537945c08f7a19f28bdd8b96966f67 | [
"Apache-2.0"
] | 3 | 2021-04-19T17:17:21.000Z | 2021-09-06T06:31:09.000Z | tests/common/checks/test_base_check_registry.py | antonblr/checkov | 9415c6593c537945c08f7a19f28bdd8b96966f67 | [
"Apache-2.0"
] | 16 | 2021-03-09T07:38:38.000Z | 2021-06-09T03:53:55.000Z | tests/common/checks/test_base_check_registry.py | antonblr/checkov | 9415c6593c537945c08f7a19f28bdd8b96966f67 | [
"Apache-2.0"
] | 1 | 2021-03-07T07:23:39.000Z | 2021-03-07T07:23:39.000Z | import unittest
from checkov.common.checks.base_check import BaseCheck
from checkov.common.checks.base_check_registry import BaseCheckRegistry
class TestCheck(BaseCheck):
def __init__(self, *supported_entities, id="CKV_T_1"):
name = "Example check"
categories = []
supported_entities = li... | 42.755556 | 104 | 0.706861 |
ad1ad77bbbdde292239d8235d09157585fff37b8 | 1,580 | py | Python | SDK/tld-0.7.1/setup.py | Gr1ph00n/staticwebanalyzer | 8bf6337a77192b85913d75778830ccbb9006081f | [
"MIT"
] | null | null | null | SDK/tld-0.7.1/setup.py | Gr1ph00n/staticwebanalyzer | 8bf6337a77192b85913d75778830ccbb9006081f | [
"MIT"
] | null | null | null | SDK/tld-0.7.1/setup.py | Gr1ph00n/staticwebanalyzer | 8bf6337a77192b85913d75778830ccbb9006081f | [
"MIT"
] | null | null | null | import os
from setuptools import setup, find_packages
try:
readme = open(os.path.join(os.path.dirname(__file__), 'README.rst')).read()
except:
readme = ''
version = '0.7.1'
data_dir = "src/tld/res"
data = [os.path.join(data_dir, f) for f in os.listdir(data_dir)]
setup(
name = 'tld',
version = versio... | 33.617021 | 93 | 0.614557 |
726f4c856319c949e18456be548d9ffd015cc6a6 | 7,861 | py | Python | problems/euler013.py | branning/euler | b9f53cdca4b246fab45a8ea4a19f432e7f733594 | [
"MIT"
] | null | null | null | problems/euler013.py | branning/euler | b9f53cdca4b246fab45a8ea4a19f432e7f733594 | [
"MIT"
] | null | null | null | problems/euler013.py | branning/euler | b9f53cdca4b246fab45a8ea4a19f432e7f733594 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
numbers_str = ["37107287533902102798797998220837590246510135740250",
"46376937677490009712648124896970078050417018260538",
"74324986199524741059474233309513058123726617309629",
"91942213363574161572522430563301811072406154908250",
... | 60.007634 | 75 | 0.691897 |
0805d729a4459aaf1a4406e550463a0fea734ab2 | 2,711 | py | Python | preprocessing_tools/smarteye_gaze.py | tkerwin/pydre | a100779801ffdc9855f09328bd28bf79ab6e679b | [
"Apache-2.0"
] | null | null | null | preprocessing_tools/smarteye_gaze.py | tkerwin/pydre | a100779801ffdc9855f09328bd28bf79ab6e679b | [
"Apache-2.0"
] | null | null | null | preprocessing_tools/smarteye_gaze.py | tkerwin/pydre | a100779801ffdc9855f09328bd28bf79ab6e679b | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import sys
import glob
import numpy as np
import re
import pandas
from pandas.api.types import CategoricalDtype
def summarizeGazeBlock(block, timeColName="VidTime", gazeColName="ESTIMATED_CLOSEST_WORLD_INTERSECTION"):
# find the gaze sequence in block, which has a vidTime column and a ... | 38.183099 | 107 | 0.673552 |
8b71b0fbe20166a8e0b0be028bffff240e40a3fa | 14,371 | py | Python | assignments/2020/assignment2_colab/assignment2/cs231n/classifiers/fc_net.py | benkmoore/cs231n.github.io | 143e8864aed5ebe6b1ffaa407faf58d60de0adb9 | [
"MIT"
] | 10 | 2020-09-14T09:54:05.000Z | 2022-02-27T17:46:24.000Z | assignments/2020/assignment2_colab/assignment2/cs231n/classifiers/fc_net.py | benkmoore/cs231n.github.io | 143e8864aed5ebe6b1ffaa407faf58d60de0adb9 | [
"MIT"
] | 32 | 2020-09-17T19:43:53.000Z | 2022-03-12T00:55:26.000Z | assignments/2020/assignment2_colab/assignment2/cs231n/classifiers/fc_net.py | benkmoore/cs231n.github.io | 143e8864aed5ebe6b1ffaa407faf58d60de0adb9 | [
"MIT"
] | 4 | 2020-11-26T14:59:58.000Z | 2022-01-31T08:23:13.000Z | from builtins import range
from builtins import object
import numpy as np
from ..layers import *
from ..layer_utils import *
class TwoLayerNet(object):
"""
A two-layer fully-connected neural network with ReLU nonlinearity and
softmax loss that uses a modular layer design. We assume an input dimension
... | 49.215753 | 90 | 0.486953 |
5addefdd61797b0e9f2765e756ecdfdfee43590c | 2,139 | py | Python | examples/data_grid.py | edublancas/sklearn-model-evaluation | 1f35d5bcc689a5f4d54c14fde60abf09af9fc374 | [
"MIT"
] | 351 | 2016-01-27T19:15:27.000Z | 2022-03-09T15:40:56.000Z | examples/data_grid.py | edublancas/sklearn-model-evaluation | 1f35d5bcc689a5f4d54c14fde60abf09af9fc374 | [
"MIT"
] | 37 | 2016-03-16T03:57:59.000Z | 2021-06-26T14:02:33.000Z | examples/data_grid.py | edublancas/sklearn-model-evaluation | 1f35d5bcc689a5f4d54c14fde60abf09af9fc374 | [
"MIT"
] | 30 | 2016-01-27T19:27:08.000Z | 2022-03-31T06:09:59.000Z | """
%load_ext autoreload
%autoreload 2
"""
import matplotlib.pyplot as plt
from sklearn_evaluation.plot.matplotlib.bar import bar_groups
from sklearn_evaluation.plot.matplotlib.data_grid import DataGrid
records = [
{
'a': 1,
'b': 10,
'c': 1,
'data': 0.9
},
{
'a': 1,
... | 15.278571 | 65 | 0.325386 |
a47c7a473e57a0037ae0bb3b3aae9e241f9d49e2 | 475 | py | Python | sgce/accounts/models.py | patokrenzok/sgce-1 | 814b485970290727fee025798e508af107febffb | [
"MIT"
] | 1 | 2020-12-16T17:21:47.000Z | 2020-12-16T17:21:47.000Z | sgce/accounts/models.py | FcoGabrielSL/sgce | aba719895c8516bf38342fb8bdeca5c3394ddffd | [
"MIT"
] | null | null | null | sgce/accounts/models.py | FcoGabrielSL/sgce | aba719895c8516bf38342fb8bdeca5c3394ddffd | [
"MIT"
] | 1 | 2020-12-15T16:41:35.000Z | 2020-12-15T16:41:35.000Z | from django.db import models
from django.conf import settings
class Profile(models.Model):
user = models.OneToOneField(
settings.AUTH_USER_MODEL,
verbose_name='usuário',
on_delete=models.CASCADE
)
phone = models.CharField('telefone', max_length=16, blank=True)
class Meta:
... | 25 | 67 | 0.669474 |
565982178ecaad14519f3fa956f2d60c846ad876 | 186 | py | Python | wargame/designpatterns/pythonic_dwarfmagiclocket.py | jeantardelli/wargameRepo | 1e11ae40281f7eafa65ea6e40e045304b20e3824 | [
"MIT"
] | 1 | 2020-12-01T20:30:27.000Z | 2020-12-01T20:30:27.000Z | wargame/designpatterns/pythonic_dwarfmagiclocket.py | jeantardelli/wargameRepo | 1e11ae40281f7eafa65ea6e40e045304b20e3824 | [
"MIT"
] | null | null | null | wargame/designpatterns/pythonic_dwarfmagiclocket.py | jeantardelli/wargameRepo | 1e11ae40281f7eafa65ea6e40e045304b20e3824 | [
"MIT"
] | null | null | null | """pythonic_dwarfmagiclocket
This module represents a dwarf magic locket object.
"""
class DwarfMagicLocket:
"""Represents an accessory for the attack of the orcs game"""
pass
| 20.666667 | 65 | 0.747312 |
c6f1adced9dddff776e216dae8c4363bd7d29d88 | 3,581 | py | Python | robotframework-ls/src/robotframework_debug_adapter/prerun_modifiers.py | mrdimfox/robotframework-lsp | b864e25447d7035b9b8a5d72419e30c5c4510fc6 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | robotframework-ls/src/robotframework_debug_adapter/prerun_modifiers.py | mrdimfox/robotframework-lsp | b864e25447d7035b9b8a5d72419e30c5c4510fc6 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | robotframework-ls/src/robotframework_debug_adapter/prerun_modifiers.py | mrdimfox/robotframework-lsp | b864e25447d7035b9b8a5d72419e30c5c4510fc6 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from robot.api import SuiteVisitor
import os
import json
from typing import Set, Dict, Optional
from robocorp_ls_core.robotframework_log import get_logger
log = get_logger(__name__)
class FilteringTestsSuiteVisitor(SuiteVisitor):
def __init__(
self, tests_filtering: Optional[Dict[str, Dict[str, Set[str]... | 32.554545 | 80 | 0.553756 |
6b398c7b7bca5ef650b470a8a59fc036b4f4712a | 261 | py | Python | stubs/ev3_pybricks_v1_0_0/ssl.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | stubs/ev3_pybricks_v1_0_0/ssl.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | stubs/ev3_pybricks_v1_0_0/ssl.py | mattytrentini/micropython-stubs | 4d596273823b69e9e5bcf5fa67f249c374ee0bbc | [
"MIT"
] | null | null | null | """
Module: 'ssl' on LEGO EV3 v1.0.0
"""
# MCU: sysname=ev3, nodename=ev3, release=('v1.0.0',), version=('0.0.0',), machine=ev3
# Stubber: 1.3.2 - updated
from typing import Any
CERT_NONE = None
_ussl = None
sym = "CERT_REQUIRED"
def wrap_socket():
pass
| 17.4 | 86 | 0.64751 |
b248f394c23e130b3dfe5441e8a53e820b64efbc | 1,649 | py | Python | utils/constants.py | paulaWesselmann/testing_pydial | bf4fd0c99242e49d67895d92c6cfc3dc31084182 | [
"Apache-2.0"
] | 3 | 2019-09-27T06:07:12.000Z | 2020-01-06T19:00:34.000Z | utils/constants.py | paulaWesselmann/testing_pydial | bf4fd0c99242e49d67895d92c6cfc3dc31084182 | [
"Apache-2.0"
] | null | null | null | utils/constants.py | paulaWesselmann/testing_pydial | bf4fd0c99242e49d67895d92c6cfc3dc31084182 | [
"Apache-2.0"
] | 1 | 2019-11-27T09:28:10.000Z | 2019-11-27T09:28:10.000Z | # copied from Pathak 2017
constants = {
'GAMMA': 0.99, # discount factor for rewards
'LAMBDA': 1.0, # lambda of Generalized Advantage Estimation: https://arxiv.org/abs/1506.02438
'ENTROPY_BETA': 0.0005, # entropy regurarlization constant. ... 0.01 for doom/0.0005 for mario
'ROLLOUT_MAXLEN': 20, # 20 represents the... | 65.96 | 127 | 0.659794 |
17809252025934281de61c90488d95525f0f632a | 9,308 | py | Python | pandas/tests/window/conftest.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | 1 | 2021-01-06T00:28:03.000Z | 2021-01-06T00:28:03.000Z | pandas/tests/window/conftest.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/window/conftest.py | Japanuspus/pandas | e38e987160c792f315685dc74fc1fc33d9389a71 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime, timedelta
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import DataFrame, Series, bdate_range, notna
@pytest.fixture(params=[True, False])
def raw(request):
return request.param
@pytest.fixture(
params=[
"triang",
"bl... | 24.559367 | 87 | 0.45015 |
9b3cc1f6523e1a2ab8af6151f8d387ed20705954 | 11,017 | py | Python | services/ingest-file/ingestors/support/cellebrite.py | fastbone/aleph | 82fea8b1eba21462b74bdf4dd9eabe0574b234b9 | [
"MIT"
] | null | null | null | services/ingest-file/ingestors/support/cellebrite.py | fastbone/aleph | 82fea8b1eba21462b74bdf4dd9eabe0574b234b9 | [
"MIT"
] | null | null | null | services/ingest-file/ingestors/support/cellebrite.py | fastbone/aleph | 82fea8b1eba21462b74bdf4dd9eabe0574b234b9 | [
"MIT"
] | null | null | null | import logging
import lxml.etree as ET
from banal import ensure_list
from normality import stringify
from ingestors.support.timestamp import TimestampSupport
log = logging.getLogger(__name__)
OUTGOING = 'Outgoing'
class CellebriteSupport(TimestampSupport):
NS = "http://pa.cellebrite.com/report/2.0"
NSMAP =... | 43.374016 | 115 | 0.5703 |
1ca4f0d92fe7d5c6c22af3c59043613851165148 | 351 | py | Python | Python/overload-example.py | saneravi/ML_Stuff | 74e1ed7ba9f4dccb555792315a14ba6071150304 | [
"MIT"
] | 209 | 2015-01-02T03:47:12.000Z | 2022-03-06T16:54:47.000Z | Python/overload-example.py | Kerwin-Xie/algorithms | 4347a9b7bf54ef378d16d26ef9e357ddc710664b | [
"MIT"
] | 3 | 2015-12-06T14:40:34.000Z | 2021-03-22T17:40:24.000Z | Python/overload-example.py | Kerwin-Xie/algorithms | 4347a9b7bf54ef378d16d26ef9e357ddc710664b | [
"MIT"
] | 114 | 2015-01-31T08:37:10.000Z | 2022-02-23T04:42:28.000Z | from typing import overload
@overload
def upcase(s: str) -> str:
...
@overload
def upcase(s: bytes) -> bytes:
...
def upcase(s):
if isinstance(s, str):
return s.upper()
elif isinstance(s, bytes):
return bytes(x - 0x20 if 0x61 <= x <= 0x7A else x for x in s)
else:
raise ... | 16.714286 | 69 | 0.584046 |
b674bd6528d39fc2f26844cae88de7b91e1d3ef0 | 103 | py | Python | looking_for_group/world/apps.py | andrlik/looking-for-group | 0b1cecb37ef0f6d75692fd188130e2c60d09b7d2 | [
"BSD-3-Clause"
] | null | null | null | looking_for_group/world/apps.py | andrlik/looking-for-group | 0b1cecb37ef0f6d75692fd188130e2c60d09b7d2 | [
"BSD-3-Clause"
] | null | null | null | looking_for_group/world/apps.py | andrlik/looking-for-group | 0b1cecb37ef0f6d75692fd188130e2c60d09b7d2 | [
"BSD-3-Clause"
] | null | null | null | from django.apps import AppConfig
class WorldConfig(AppConfig):
name = "looking_for_group.world"
| 17.166667 | 36 | 0.776699 |
3003f8f00b5829d758ecff0359035a285c42f6a5 | 11,985 | py | Python | components/esptool_py/esptool/ecdsa/six.py | dereklitao/ESP8266_RTOS_SDK | 8680849684f17ebc1a71df5be7f9547d9ecbecc5 | [
"Apache-2.0"
] | 2,701 | 2015-10-28T08:28:16.000Z | 2022-03-31T16:51:13.000Z | components/esptool_py/esptool/ecdsa/six.py | dereklitao/ESP8266_RTOS_SDK | 8680849684f17ebc1a71df5be7f9547d9ecbecc5 | [
"Apache-2.0"
] | 1,136 | 2015-11-09T02:40:55.000Z | 2022-03-30T21:28:00.000Z | components/esptool_py/esptool/ecdsa/six.py | pheki/ESP8266_RTOS_SDK | 89a3f254b63819035f65d9c5dcdae8864f1a6a8a | [
"Apache-2.0"
] | 1,577 | 2015-10-27T15:29:27.000Z | 2022-03-31T07:11:49.000Z | """Utilities for writing code that runs on Python 2 and 3"""
# Copyright (c) 2010-2012 Benjamin Peterson
#
# 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 with... | 30.341772 | 87 | 0.624698 |
99aaa0b0fea1e7e1c4d6765a6e6beef6c2929775 | 9,416 | py | Python | tensorflow_tts/utils/korean.py | Joovvhan/TensorFlowTTS | 1303ab8db8830afa64af7e9f2e4a038fd52f7355 | [
"Apache-2.0"
] | null | null | null | tensorflow_tts/utils/korean.py | Joovvhan/TensorFlowTTS | 1303ab8db8830afa64af7e9f2e4a038fd52f7355 | [
"Apache-2.0"
] | null | null | null | tensorflow_tts/utils/korean.py | Joovvhan/TensorFlowTTS | 1303ab8db8830afa64af7e9f2e4a038fd52f7355 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Code based on https://github.com/carpedm20/multi-speaker-tacotron-tensorflow
import re
import os
import ast
import json
from jamo import hangul_to_jamo, h2j, j2h, jamo_to_hcj
from .ko_dictionary import english_dictionary, etc_dictionary
"""
초성과 종성은 같아보이지만, 다른 character이다.
'_-!'(),-.... | 26.083102 | 90 | 0.514019 |
002d6336d70435ce3f181682a33f626aa6c7772d | 56 | py | Python | daemons/message/__init__.py | alexdelorenzo/daemons | 1fe2c9886f76f51e1e459fe97f2ac360869deb19 | [
"Apache-2.0"
] | 50 | 2015-06-18T18:25:27.000Z | 2022-02-08T22:29:09.000Z | daemons/message/__init__.py | alexdelorenzo/daemons | 1fe2c9886f76f51e1e459fe97f2ac360869deb19 | [
"Apache-2.0"
] | 9 | 2015-11-27T14:39:58.000Z | 2021-05-21T19:18:16.000Z | daemons/message/__init__.py | alexdelorenzo/daemons | 1fe2c9886f76f51e1e459fe97f2ac360869deb19 | [
"Apache-2.0"
] | 16 | 2015-10-17T19:10:55.000Z | 2021-05-20T05:48:51.000Z | """Implementations of the message manager interface."""
| 28 | 55 | 0.767857 |
5ae7f2aadb60e6b18f69fc536e6e77c48f1563a6 | 34,493 | py | Python | dafne/modeling/dafne/dafne_outputs.py | qilei123/DAFNe | 6ae6c17ecef6b88e21843969e456fc83b34da0fe | [
"MIT"
] | 35 | 2021-09-14T03:09:34.000Z | 2022-03-30T21:29:59.000Z | dafne/modeling/dafne/dafne_outputs.py | qilei123/DAFNe | 6ae6c17ecef6b88e21843969e456fc83b34da0fe | [
"MIT"
] | 5 | 2021-11-28T07:49:36.000Z | 2022-03-25T10:40:46.000Z | dafne/modeling/dafne/dafne_outputs.py | qilei123/DAFNe | 6ae6c17ecef6b88e21843969e456fc83b34da0fe | [
"MIT"
] | 10 | 2021-09-15T12:59:56.000Z | 2022-03-30T10:15:33.000Z | import logging
import torch
import torch.nn.functional as F
from fvcore.nn import sigmoid_focal_loss_jit
from torch import distributed as dist
from torch import nn
from detectron2.layers import cat
from detectron2.structures import Instances
from detectron2.structures.boxes import Boxes
from detectron2.utils.comm imp... | 37.24946 | 111 | 0.578146 |
eb3df10882b8834c9ebc8627bce6c2adff47c387 | 9,665 | py | Python | pimdm/rwlock/RWLock.py | leoplo/pim_dm | e097fb8e247b14f142b6aa97d8ee34440aeba806 | [
"MIT"
] | 6 | 2020-02-04T20:59:59.000Z | 2021-11-24T09:56:07.000Z | pimdm/rwlock/RWLock.py | leoplo/pim_dm | e097fb8e247b14f142b6aa97d8ee34440aeba806 | [
"MIT"
] | 4 | 2020-04-10T14:51:39.000Z | 2022-02-14T00:59:21.000Z | pimdm/rwlock/RWLock.py | leoplo/pim_dm | e097fb8e247b14f142b6aa97d8ee34440aeba806 | [
"MIT"
] | 3 | 2020-08-13T17:56:35.000Z | 2021-11-24T11:03:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Read Write Lock
"""
import threading
import time
class RWLockRead(object):
"""
A Read/Write lock giving preference to Reader
"""
def __init__(self):
self.V_ReadCount = 0
self.A_Resource = threading.Lock()
self.A_LockReadCount = threading.Lock()
class _aRe... | 36.198502 | 133 | 0.720848 |
48bf7dec1a9ee833e16512885e02cea51f8dd891 | 172 | py | Python | AtCoder/ABC/000-159/ABC135_B.py | sireline/PyCode | 8578467710c3c1faa89499f5d732507f5d9a584c | [
"MIT"
] | null | null | null | AtCoder/ABC/000-159/ABC135_B.py | sireline/PyCode | 8578467710c3c1faa89499f5d732507f5d9a584c | [
"MIT"
] | null | null | null | AtCoder/ABC/000-159/ABC135_B.py | sireline/PyCode | 8578467710c3c1faa89499f5d732507f5d9a584c | [
"MIT"
] | null | null | null | N = int(input())
P = [int(n) for n in input().split()]
X = [n for n in range(1, N+1)]
ans = sum([0 if p==x else 1 for p,x in zip(P, X)])
print('YES' if ans <= 2 else 'NO')
| 28.666667 | 50 | 0.546512 |
8bcdaa745ff3b0c1886791f4fe795e270a4e85c7 | 96 | py | Python | venv/lib/python3.8/site-packages/poetry/console/logging/io_formatter.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/poetry/console/logging/io_formatter.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/poetry/console/logging/io_formatter.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/6d/22/53/c55351916bc6e330317cf82fa911c4318c64258321ebbccd05d85f5c26 | 96 | 96 | 0.895833 |
dab4b043f209fe9a3a7aed1c8587d39d176641b7 | 1,887 | py | Python | redbot/syntax/rfc7234.py | Malvoz/redbot | 0edef8d4efefddde49d36cd97e471fc187837169 | [
"MIT"
] | 167 | 2015-01-07T16:34:56.000Z | 2022-02-20T15:20:06.000Z | redbot/syntax/rfc7234.py | Malvoz/redbot | 0edef8d4efefddde49d36cd97e471fc187837169 | [
"MIT"
] | 180 | 2015-02-01T01:37:53.000Z | 2022-02-17T04:32:01.000Z | redbot/syntax/rfc7234.py | Malvoz/redbot | 0edef8d4efefddde49d36cd97e471fc187837169 | [
"MIT"
] | 32 | 2015-05-20T21:00:13.000Z | 2022-02-16T10:14:15.000Z | # pylint: disable=line-too-long, unused-import
"""
Regex for RFC7234
These regex are directly derived from the collected ABNF in RFC7234.
<http://httpwg.org/specs/rfc7234.html#collected.abnf>
They should be processed with re.VERBOSE.
"""
from .rfc3986 import port, host as uri_host
from .rfc5234 import DIGIT, DQU... | 23.012195 | 103 | 0.665077 |
91d05572d93d3711fdaf1f014ff4e4c4739f0d19 | 2,962 | py | Python | vega/networks/pytorch/losses/sum_loss.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 724 | 2020-06-22T12:05:30.000Z | 2022-03-31T07:10:54.000Z | vega/networks/pytorch/losses/sum_loss.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 147 | 2020-06-30T13:34:46.000Z | 2022-03-29T11:30:17.000Z | vega/networks/pytorch/losses/sum_loss.py | jie311/vega | 1bba6100ead802697e691403b951e6652a99ccae | [
"MIT"
] | 160 | 2020-06-29T18:27:58.000Z | 2022-03-23T08:42:21.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the... | 35.686747 | 116 | 0.618501 |
eee0da47127801d1004a8e8f8752711f7492fb55 | 512 | py | Python | quick_time/time.py | keegang6705/instant-time | 56fbd61ccd01ddebfb545289adb1b7dc4e52ae6f | [
"MIT"
] | null | null | null | quick_time/time.py | keegang6705/instant-time | 56fbd61ccd01ddebfb545289adb1b7dc4e52ae6f | [
"MIT"
] | null | null | null | quick_time/time.py | keegang6705/instant-time | 56fbd61ccd01ddebfb545289adb1b7dc4e52ae6f | [
"MIT"
] | null | null | null | import time
from datetime import datetime
import pytz
def timestamp(timezone: pytz.timezone,integer: bool =False):
tme = datetime.now(pytz.timezone(f"{timezone}"))
tmstamp = datetime.timestamp(tme)
if integer == True:
return int(tmstamp)
elif integer == False:
return tmstamp
... | 32 | 61 | 0.634766 |
32d50f1134f355d05c8ff793ff37bc03f44053b2 | 7,859 | py | Python | netapp/santricity/models/v2/storage_pool_create_request.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 5 | 2016-08-23T17:52:22.000Z | 2019-05-16T08:45:30.000Z | netapp/santricity/models/v2/storage_pool_create_request.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 2 | 2016-11-10T05:30:21.000Z | 2019-04-05T15:03:37.000Z | netapp/santricity/models/v2/storage_pool_create_request.py | NetApp/santricity-webapi-pythonsdk | 1d3df4a00561192f4cdcdd1890f4d27547ed2de2 | [
"BSD-3-Clause-Clear"
] | 7 | 2016-08-25T16:11:44.000Z | 2021-02-22T05:31:25.000Z | # coding: utf-8
"""
StoragePoolCreateRequest.py
The Clear BSD License
Copyright (c) – 2016, NetApp, Inc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions ... | 37.42381 | 844 | 0.640158 |
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