hexsha stringlengths 40 40 | size int64 2 1.05M | ext stringclasses 9
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 193 | max_stars_repo_name stringlengths 6 109 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 36.6k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 193 | max_issues_repo_name stringlengths 6 109 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 29.8k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 193 | max_forks_repo_name stringlengths 6 109 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 11.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.05M | avg_line_length float64 1 404k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
93ef50dc82c1a8fc0034e94f208e2c997a490725 | 3,194 | py | Python | data_loader.py | 1048727525/fnm_pytorch | 21511f3272b4a49fa5ca5bce126dd03fd559bb50 | [
"MIT"
] | 2 | 2020-11-09T02:26:35.000Z | 2021-04-27T17:39:34.000Z | data_loader.py | 1048727525/fnm_pytorch | 21511f3272b4a49fa5ca5bce126dd03fd559bb50 | [
"MIT"
] | null | null | null | data_loader.py | 1048727525/fnm_pytorch | 21511f3272b4a49fa5ca5bce126dd03fd559bb50 | [
"MIT"
] | null | null | null | import os
import scipy
import numpy as np
from util import *
from PIL import Image
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
class sample_dataset(Dataset):
def __init__(self, list_path, img_root_path, crop_size, image_size, mode="train"):
self.img_name_list = read_... | 42.586667 | 132 | 0.685034 |
93ef8012dea8d5a3dff60ad580297deff45be19d | 217 | py | Python | utils/tests/browser/test_safari.py | letam/web-test-template | 79b3b45925bbb4fe243f02085c0f92fa805ef03c | [
"MIT"
] | null | null | null | utils/tests/browser/test_safari.py | letam/web-test-template | 79b3b45925bbb4fe243f02085c0f92fa805ef03c | [
"MIT"
] | null | null | null | utils/tests/browser/test_safari.py | letam/web-test-template | 79b3b45925bbb4fe243f02085c0f92fa805ef03c | [
"MIT"
] | null | null | null | from pytest import fixture
from utils.browser import Browser
driver_name = "safari"
@fixture(scope="module")
def browser():
with Browser(driver_name) as browser:
yield browser
from ._tests import *
| 13.5625 | 41 | 0.718894 |
93efaec5a1c71de95300a25845bc3f5a9ad326d7 | 2,743 | py | Python | src/tools/data/DataManualExamples/Simulations/writeback.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/tools/data/DataManualExamples/Simulations/writeback.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/tools/data/DataManualExamples/Simulations/writeback.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | ###############################################################################
#
# Program: writeback.py
#
# Purpose: Connects to a running "writeback" simulation program and uses its
# data to create a plot, modify the plot, save the modified data
# back to the simulation, and plot that modified dat... | 31.528736 | 79 | 0.66132 |
93efcdc6a71ee8eb1db907aa116dfd1c7b70c424 | 4,994 | py | Python | examples/registry-read.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | examples/registry-read.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | examples/registry-read.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | 1 | 2022-01-28T00:53:41.000Z | 2022-01-28T00:53:41.000Z | #!/usr/bin/python
# Copyright (c) 2003-2015 CORE Security Technologies)
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# Author: Alberto Solino (@agsolino)
#
# Description: A Windows Registry Reader Exam... | 29.72619 | 141 | 0.651982 |
93efdc7d04b42128af7ce4b7ef12f81620f8dfd1 | 13,396 | py | Python | haproxy/tests/test_unit.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2020-08-08T02:01:01.000Z | 2020-08-08T02:01:01.000Z | haproxy/tests/test_unit.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2018-08-15T05:50:17.000Z | 2018-08-15T05:50:17.000Z | haproxy/tests/test_unit.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2018-08-15T05:45:42.000Z | 2018-08-15T05:45:42.000Z | import os
import copy
import common
from datadog_checks.haproxy import HAProxy
from collections import defaultdict
BASE_CONFIG = {
'url': 'http://localhost/admin?stats',
'collect_status_metrics': True,
}
def _assert_agg_statuses(aggregator, count_status_by_service=True, collate_status_tags_per_host=False):... | 51.32567 | 112 | 0.710212 |
93efeb28c3ae351833e438427a750fe2f8bfddcb | 4,150 | py | Python | forager_backend/forager_backend_api/models.py | forager-research/forager-server | 7557076f9114391cf3a6953d4312883a9de5ce27 | [
"MIT"
] | 4 | 2021-09-21T01:58:21.000Z | 2022-03-02T21:28:32.000Z | forager_backend/forager_backend_api/models.py | forager-research/forager-server | 7557076f9114391cf3a6953d4312883a9de5ce27 | [
"MIT"
] | 2 | 2021-10-19T19:39:52.000Z | 2021-11-18T23:53:26.000Z | forager_backend/forager_backend_api/models.py | forager-research/forager-server | 7557076f9114391cf3a6953d4312883a9de5ce27 | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models import Q
MEDIUM_STRING_LENGTH = 300
LONG_STRING_LENGTH = 600
class Dataset(models.Model):
name = models.SlugField(unique=True)
train_directory = models.CharField(max_length=LONG_STRING_LENGTH)
val_directory = models.CharField(max_length=LONG_STRING_LENGT... | 32.677165 | 86 | 0.68988 |
93eff39e7a1f5a2f5ecdc9162e6e5421359917a1 | 2,349 | py | Python | sdk/search/azure-search-documents/samples/sample_semantic_search.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/search/azure-search-documents/samples/sample_semantic_search.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/search/azure-search-documents/samples/sample_semantic_search.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # 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.
# --------------------------------------------------------------------... | 36.138462 | 104 | 0.658152 |
93f0497365943dd9a295b95669c21b257b9253b4 | 6,769 | py | Python | tests/scripts/thread-cert/border_router/test_publish_meshcop_service.py | sarah-iot/openthread | 8210a02400c145eb862b65e32040ed0415ba36c2 | [
"BSD-3-Clause"
] | 69 | 2021-12-16T01:34:09.000Z | 2022-03-31T08:27:39.000Z | tests/scripts/thread-cert/border_router/test_publish_meshcop_service.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | tests/scripts/thread-cert/border_router/test_publish_meshcop_service.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 21 | 2021-12-20T09:05:45.000Z | 2022-03-28T02:52:28.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2021, The OpenThread Authors.
# 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
# ... | 38.460227 | 119 | 0.641749 |
93f0546b5f830b6ddd3b4e2b82318f2da2f74b2a | 30,872 | py | Python | dags/itp_audit_dag.py | danieldjewell/starthinker | 3327d5874f01d7563603b8a82c1ecd6615b9768d | [
"Apache-2.0"
] | null | null | null | dags/itp_audit_dag.py | danieldjewell/starthinker | 3327d5874f01d7563603b8a82c1ecd6615b9768d | [
"Apache-2.0"
] | null | null | null | dags/itp_audit_dag.py | danieldjewell/starthinker | 3327d5874f01d7563603b8a82c1ecd6615b9768d | [
"Apache-2.0"
] | null | null | null | ###########################################################################
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/l... | 30.385827 | 173 | 0.394046 |
93f062655d9a4a854b55c3a9813620d1ec63b5db | 2,110 | py | Python | mco2/level_1/agents.py | AFAgarap/csc613m-dlsu | d05c23c5af705a6bd8da82b96290fa053386b3c1 | [
"Apache-2.0"
] | null | null | null | mco2/level_1/agents.py | AFAgarap/csc613m-dlsu | d05c23c5af705a6bd8da82b96290fa053386b3c1 | [
"Apache-2.0"
] | null | null | null | mco2/level_1/agents.py | AFAgarap/csc613m-dlsu | d05c23c5af705a6bd8da82b96290fa053386b3c1 | [
"Apache-2.0"
] | null | null | null | from environment import after_action_state
from environment import check_game_status
from environment import tomark
import random
class BaseAgent(object):
def __init__(self, mark):
self.mark = mark
def act(self, board, state, available_actions):
for action in available_actions:
ne... | 33.492063 | 63 | 0.515166 |
93f075ffa6462e724d0fc123f08e2d725235124a | 11,942 | py | Python | tests/test_abstract.py | strint/myia | 3d00d3fb3df80ab7a264a724226c5f56c6ff1a8a | [
"MIT"
] | 222 | 2019-02-13T07:56:28.000Z | 2022-03-28T07:07:54.000Z | tests/test_abstract.py | strint/myia | 3d00d3fb3df80ab7a264a724226c5f56c6ff1a8a | [
"MIT"
] | 107 | 2019-02-12T21:56:39.000Z | 2022-03-12T01:08:03.000Z | tests/test_abstract.py | strint/myia | 3d00d3fb3df80ab7a264a724226c5f56c6ff1a8a | [
"MIT"
] | 27 | 2017-11-14T17:58:15.000Z | 2019-01-14T01:36:09.000Z | import asyncio
import typing
import numpy as np
import pytest
from myia import xtype as ty
from myia.abstract import (
ALIASID,
ANYTHING,
DEAD,
TYPE,
VALUE,
AbstractADT,
AbstractBottom,
AbstractClass,
AbstractError,
AbstractFunction,
AbstractFunctionUnique,
AbstractHand... | 27.901869 | 80 | 0.647044 |
93f085e62a96f03c99c51e7e21d59b798d1f98b1 | 15,615 | py | Python | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/__init__.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # 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 ... | 61.476378 | 172 | 0.884534 |
93f0a5f958369eb4430a00c36a168b1783fda002 | 735 | py | Python | portal/middleware.py | cds-snc/covid-alert-portal | e7d56fa9fa4a2ad2d60f056eae063713661bd260 | [
"MIT"
] | 43 | 2020-07-31T14:38:06.000Z | 2022-03-07T11:28:28.000Z | portal/middleware.py | cds-snc/covid-alert-portal | e7d56fa9fa4a2ad2d60f056eae063713661bd260 | [
"MIT"
] | 322 | 2020-07-23T19:38:26.000Z | 2022-03-31T19:15:45.000Z | portal/middleware.py | cds-snc/covid-alert-portal | e7d56fa9fa4a2ad2d60f056eae063713661bd260 | [
"MIT"
] | 6 | 2020-11-28T19:30:20.000Z | 2021-07-29T18:06:55.000Z | import pytz
from django.conf import settings
class TZMiddleware:
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
browser_tz = request.COOKIES.get("browserTimezone")
tz = None
if browser_tz:
try:
tz = p... | 27.222222 | 75 | 0.642177 |
93f0ad82672ba9c53f249ddf737dd6dc1f7c94e3 | 1,719 | py | Python | python/l0040.py | daidaifan/leetcode-problem-solver | 1793eada501a2a18d05f118a98ac52e2edd12ef8 | [
"MIT"
] | null | null | null | python/l0040.py | daidaifan/leetcode-problem-solver | 1793eada501a2a18d05f118a98ac52e2edd12ef8 | [
"MIT"
] | null | null | null | python/l0040.py | daidaifan/leetcode-problem-solver | 1793eada501a2a18d05f118a98ac52e2edd12ef8 | [
"MIT"
] | null | null | null | """
Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target.
Each number in candidates may only be used once in the combination.
Note:
All numbers (including target) will be positive integers.
The solutio... | 26.045455 | 169 | 0.593368 |
93f0b5bd522f3b5a76dcfea3bf36454df2d8fec9 | 10,217 | py | Python | test/test_MelfaRobot.py | rgaensler/gcode | c6a6b617a04490dedefb2bae7b596a2e12ab4ab1 | [
"MIT"
] | null | null | null | test/test_MelfaRobot.py | rgaensler/gcode | c6a6b617a04490dedefb2bae7b596a2e12ab4ab1 | [
"MIT"
] | 314 | 2020-02-26T12:37:17.000Z | 2021-08-02T00:32:32.000Z | test/test_MelfaRobot.py | rgaensler/gcode | c6a6b617a04490dedefb2bae7b596a2e12ab4ab1 | [
"MIT"
] | 2 | 2020-11-12T16:07:48.000Z | 2020-11-16T09:14:48.000Z | import unittest.mock as mock
from time import sleep
from unittest.mock import MagicMock
import pytest
from src.Coordinate import Coordinate
from src.clients.TcpClientR3 import TcpClientR3
from src.GCmd import GCmd
from src.printer_components.MelfaRobot import MelfaRobot
@pytest.fixture
def tcp():
a = MagicMock(... | 37.288321 | 118 | 0.633063 |
93f0bdb4dcefd0df72718515b9daa355af756e66 | 10,445 | py | Python | doc/source/conf.py | pbuslaev/freud | ed83bdc63ee8fddba78f070ce9ddf2a0021d67b8 | [
"BSD-3-Clause"
] | null | null | null | doc/source/conf.py | pbuslaev/freud | ed83bdc63ee8fddba78f070ce9ddf2a0021d67b8 | [
"BSD-3-Clause"
] | null | null | null | doc/source/conf.py | pbuslaev/freud | ed83bdc63ee8fddba78f070ce9ddf2a0021d67b8 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# freud documentation build configuration file, created by
# sphinx-quickstart on Fri Aug 28 11:39:18 2015.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# auto... | 32.538941 | 79 | 0.70359 |
93f0ca6444b5732d6294f2887bdbd72a4f004f0d | 2,570 | py | Python | program_synthesis/naps/examples/seq2seq/test_pointer_seq2seq.py | kavigupta/program_synthesis | 0b04b1d3b63954ba3d404a8d96c4da18667a1b02 | [
"Apache-2.0"
] | 123 | 2018-06-09T00:49:39.000Z | 2022-03-09T05:41:20.000Z | program_synthesis/naps/examples/seq2seq/test_pointer_seq2seq.py | kavigupta/program_synthesis | 0b04b1d3b63954ba3d404a8d96c4da18667a1b02 | [
"Apache-2.0"
] | 9 | 2018-06-12T01:01:17.000Z | 2022-03-18T09:06:39.000Z | program_synthesis/naps/examples/seq2seq/test_pointer_seq2seq.py | kavigupta/program_synthesis | 0b04b1d3b63954ba3d404a8d96c4da18667a1b02 | [
"Apache-2.0"
] | 24 | 2018-06-09T00:42:46.000Z | 2021-09-29T08:23:32.000Z | import unittest
import torch
import numpy as np
from program_synthesis.naps.examples.seq2seq import pointer_seq2seq
from torch.autograd import Variable
class TestPointerSeq2Seq(unittest.TestCase):
def test_pointer_seq2seq(self):
padded_texts = Variable(torch.LongTensor(
[[0, 4, 5, 4, 1, -1],... | 40.15625 | 98 | 0.372374 |
93f0de0948d018e50b1e0f98a702cea6ec20aca8 | 3,830 | py | Python | train.py | fareesa1/person_reid | 8e3a585373f001ad9e6e9b27a0fee517d7293a05 | [
"MIT"
] | 19 | 2018-06-27T17:28:22.000Z | 2022-01-11T06:10:53.000Z | train.py | fareesa1/person_reid | 8e3a585373f001ad9e6e9b27a0fee517d7293a05 | [
"MIT"
] | 12 | 2018-10-09T13:36:11.000Z | 2021-06-28T08:26:15.000Z | train.py | fareesa1/person_reid | 8e3a585373f001ad9e6e9b27a0fee517d7293a05 | [
"MIT"
] | 7 | 2018-10-09T08:20:05.000Z | 2021-06-28T01:37:47.000Z | import keras
import tensorflow as tf
print('keras:\t', keras.__version__)
print('tf:\t', tf.__version__)
import json
from pprint import pprint
Settings = json.load(open('settings.txt'))
pprint(Settings)
print('')
import matplotlib.pyplot as plt
import sys
sys.path.insert(0, '../')
from reid.data import DataSampler
fr... | 26.783217 | 76 | 0.649869 |
93f0f7e4890c50bc8bb3b3332b76415812a31dcb | 25,922 | py | Python | speech_dia_@/src/pyannote_xxx/core/segment.py | NgvTue/test2 | d475cb2fed16b46185adbe50b4179d5299c791cb | [
"MIT"
] | 1 | 2022-02-23T08:46:10.000Z | 2022-02-23T08:46:10.000Z | speech_dia_@/src/pyannote_xxx/core/segment.py | NgvTue/test2 | d475cb2fed16b46185adbe50b4179d5299c791cb | [
"MIT"
] | null | null | null | speech_dia_@/src/pyannote_xxx/core/segment.py | NgvTue/test2 | d475cb2fed16b46185adbe50b4179d5299c791cb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
# The MIT License (MIT)
# Copyright (c) 2014-2019 CNRS
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limita... | 29.625143 | 148 | 0.543554 |
93f11e3f19efb93845fd28506d43d7618293223b | 1,304 | py | Python | bridgekeeper/rule_attribute_tests.py | edly-io/bridgekeeper | ac2e57bb7716001e6816fc761315944311f8ea82 | [
"MIT"
] | null | null | null | bridgekeeper/rule_attribute_tests.py | edly-io/bridgekeeper | ac2e57bb7716001e6816fc761315944311f8ea82 | [
"MIT"
] | null | null | null | bridgekeeper/rule_attribute_tests.py | edly-io/bridgekeeper | ac2e57bb7716001e6816fc761315944311f8ea82 | [
"MIT"
] | 3 | 2021-03-19T10:01:06.000Z | 2021-04-08T08:08:48.000Z | import pytest
from shrubberies.factories import StoreFactory, UserFactory
from shrubberies.models import Store
from .rules import Attribute
@pytest.mark.django_db
def test_constant_attribute():
user = UserFactory()
s1 = StoreFactory(name='a')
s2 = StoreFactory(name='b')
p = Attribute('name', 'a')
... | 25.076923 | 59 | 0.670245 |
93f147f17708fd3254201d1e9b8810989728415a | 2,728 | py | Python | powerline/lib/monotonic.py | zhaocai/powerline | 8aae1145835b4b2a71f1ed71b81d490e2907bd39 | [
"MIT"
] | 19 | 2015-09-01T20:49:16.000Z | 2022-01-08T22:13:23.000Z | powerline/lib/monotonic.py | zhaocai/powerline | 8aae1145835b4b2a71f1ed71b81d490e2907bd39 | [
"MIT"
] | null | null | null | powerline/lib/monotonic.py | zhaocai/powerline | 8aae1145835b4b2a71f1ed71b81d490e2907bd39 | [
"MIT"
] | 6 | 2019-04-25T03:42:35.000Z | 2020-06-05T15:25:23.000Z | # vim:fileencoding=utf-8:noet
from __future__ import division, absolute_import
try:
try:
# >=python-3.3, Unix
from time import clock_gettime
try:
# >={kernel}-sources-2.6.28
from time import CLOCK_MONOTONIC_RAW as CLOCK_ID
except ImportError:
from time import CLOCK_MONOTONIC as CLOCK_ID # NOQA
m... | 26.230769 | 72 | 0.710411 |
93f17f1e37cb5a25854505028df6506ae03403f0 | 1,191 | py | Python | Chapter12/01-chapter-content/tensorflow/introduction_tensorflow/tensorflow_basic_ops_scope.py | ProgrammerWaterworth/Mastering-OpenCV-4-with-Python | c90305898f1413267404f1ac83075133299060bb | [
"MIT"
] | 2 | 2021-06-29T22:00:47.000Z | 2021-06-30T02:46:19.000Z | Chapter12/01-chapter-content/tensorflow/introduction_tensorflow/tensorflow_basic_ops_scope.py | araneto/Mastering-OpenCV-4-with-Python | c90305898f1413267404f1ac83075133299060bb | [
"MIT"
] | null | null | null | Chapter12/01-chapter-content/tensorflow/introduction_tensorflow/tensorflow_basic_ops_scope.py | araneto/Mastering-OpenCV-4-with-Python | c90305898f1413267404f1ac83075133299060bb | [
"MIT"
] | 1 | 2019-10-03T20:34:43.000Z | 2019-10-03T20:34:43.000Z | """
Basic Operations example using TensorFlow library creating scopes
"""
# Import required packages:
import tensorflow as tf
# Path to the folder that we want to save the logs for Tensorboard:
logs_path = "./logs"
# Define placeholders:
X_1 = tf.placeholder(tf.int16, name="X_1")
X_2 = tf.placeholder(tf.int16, name=... | 37.21875 | 98 | 0.684299 |
93f18fd34deaa17f8317de37a20d274fca165a02 | 27,888 | py | Python | impacket/dcerpc/v5/enum.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | impacket/dcerpc/v5/enum.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | null | null | null | impacket/dcerpc/v5/enum.py | black-security/impacket3 | 5b6145b3f511d4f7cddaba64cf150b109113afea | [
"Apache-1.1"
] | 1 | 2022-01-28T00:53:41.000Z | 2022-01-28T00:53:41.000Z | """Python Enumerations"""
import sys as _sys
__all__ = ['Enum', 'IntEnum', 'unique']
pyver = float('%s.%s' % _sys.version_info[:2])
try:
any
except NameError:
def any(iterable):
for element in iterable:
if element:
return True
return False
class _RouteClassAttri... | 36.3125 | 113 | 0.587493 |
93f19a9cd5cf6c8812083f82d7ec44c792960409 | 18,227 | py | Python | plugins/stickers+.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | 1 | 2020-10-29T15:44:57.000Z | 2020-10-29T15:44:57.000Z | plugins/stickers+.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | null | null | null | plugins/stickers+.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | 4 | 2020-10-28T09:02:35.000Z | 2020-12-27T22:45:57.000Z | """Make / Download Telegram Sticker Packs without installing Third Party applications
Available Commands:
.kangsticker [Optional Emoji]
.packinfo
.getsticker"""
import asyncio
import datetime
import math
import os
import zipfile
from collections import defaultdict
from io import BytesIO
from pikabot.utils import admin... | 40.147577 | 129 | 0.563011 |
93f1b1c388737390784832e7bab56b8f12644a0a | 45,565 | py | Python | napari/layers/labels/labels.py | pranathivemuri/napari | 7a7f824b686a276dc6cdc8013d8f437e3c3b03e1 | [
"BSD-3-Clause"
] | null | null | null | napari/layers/labels/labels.py | pranathivemuri/napari | 7a7f824b686a276dc6cdc8013d8f437e3c3b03e1 | [
"BSD-3-Clause"
] | null | null | null | napari/layers/labels/labels.py | pranathivemuri/napari | 7a7f824b686a276dc6cdc8013d8f437e3c3b03e1 | [
"BSD-3-Clause"
] | null | null | null | import warnings
from collections import deque
from typing import Dict, Tuple, Union
import numpy as np
from scipy import ndimage as ndi
from ...utils import config
from ...utils._dtype import normalize_dtype
from ...utils.colormaps import (
color_dict_to_colormap,
label_colormap,
low_discrepancy_image,
)
... | 35.625489 | 208 | 0.59436 |
93f1ca58b97bf6b9f8cbbe375dc7cd874fac8ed7 | 337 | py | Python | mhw_analysis/db/build_climate.py | profxj/mwh_analysis | bb3854ee9e6deee7be270967fe5a7e15a7636819 | [
"BSD-3-Clause"
] | 1 | 2020-06-22T21:19:41.000Z | 2020-06-22T21:19:41.000Z | mhw_analysis/db/build_climate.py | profxj/mwh_analysis | bb3854ee9e6deee7be270967fe5a7e15a7636819 | [
"BSD-3-Clause"
] | 9 | 2020-06-05T16:16:48.000Z | 2020-10-18T18:58:00.000Z | mhw_analysis/db/build_climate.py | profxj/mwh_analysis | bb3854ee9e6deee7be270967fe5a7e15a7636819 | [
"BSD-3-Clause"
] | null | null | null | """ Module to generate a *large* Cube of MHW events"""
import glob
import numpy as np
import pandas
import sqlalchemy
from datetime import date
from IPython import embed
from mhw_analysis.db import utils
from mhw import climate
from mhw import marineHeatWaves
from mhw import utils as mhw_utils
# MOVED BACK TO marin... | 18.722222 | 54 | 0.801187 |
93f1e29323f17af3bb372cf6c38427daa3680271 | 1,458 | py | Python | profiles/models.py | chandru-shane/django-forum-project | 061325ce0234c7e183df7bdb180907fc23acc11e | [
"MIT"
] | null | null | null | profiles/models.py | chandru-shane/django-forum-project | 061325ce0234c7e183df7bdb180907fc23acc11e | [
"MIT"
] | null | null | null | profiles/models.py | chandru-shane/django-forum-project | 061325ce0234c7e183df7bdb180907fc23acc11e | [
"MIT"
] | null | null | null | from django.db import models
from django.conf import settings
from django.contrib.auth import get_user_model
# Create your models here.
User = get_user_model()
class UserProfile(models.Model):
user = models.OneToOneField(settings.AUTH_USER_MODEL,
related_name='profile',
... | 41.657143 | 100 | 0.724966 |
93f1ea6a3f884d38956a0cef403031fd5484fe33 | 1,346 | py | Python | mlogpp/error.py | albi-c/mlogpp | 2f62922bbcb3e97e9fd861b453c0e7d9a7ce1d1b | [
"MIT"
] | null | null | null | mlogpp/error.py | albi-c/mlogpp | 2f62922bbcb3e97e9fd861b453c0e7d9a7ce1d1b | [
"MIT"
] | null | null | null | mlogpp/error.py | albi-c/mlogpp | 2f62922bbcb3e97e9fd861b453c0e7d9a7ce1d1b | [
"MIT"
] | null | null | null | import sys, inspect
from .formatting import Format
from .util import Position
class MlogError(Exception):
def __init__(self, msg: str, pos: Position = None):
self.message = f"{msg}: {pos}"
self.msg = msg
self.pos = pos
def print(self):
if self.pos is not None:
... | 23.614035 | 157 | 0.594354 |
93f200df442a6c5efab806b1e87ef9a784224bd0 | 2,857 | py | Python | pretraining.py | frezaeix/bayesian-yolov3 | 65d3213253f716b3322192297d3a350a0d9a0354 | [
"MIT"
] | 59 | 2019-05-27T01:37:32.000Z | 2022-03-23T05:41:40.000Z | pretraining.py | frezaeix/bayesian-yolov3 | 65d3213253f716b3322192297d3a350a0d9a0354 | [
"MIT"
] | 5 | 2019-05-27T04:15:27.000Z | 2022-03-07T13:50:32.000Z | pretraining.py | frezaeix/bayesian-yolov3 | 65d3213253f716b3322192297d3a350a0d9a0354 | [
"MIT"
] | 16 | 2019-05-28T04:20:38.000Z | 2022-03-22T06:43:09.000Z | import json
import logging
import os
from lib_yolo import yolov3, train, utils
def main():
config = {
'training': True, # edit: set to false for qualitative evaluation
'resume_training': False, # edit
'resume_checkpoint': 'last', # edit: either filename or 'last' the resume a training
... | 41.405797 | 106 | 0.610081 |
93f22d2bfe88b7758cc2c1e48c864ccb8dcb9af7 | 1,746 | py | Python | src/utils/objectives.py | imatge-upc/rvos-mots | 38dd9d552685e5e685903c2154097917444b2676 | [
"BSD-3-Clause"
] | 6 | 2020-09-29T12:35:34.000Z | 2021-11-24T02:56:22.000Z | src/utils/objectives.py | imatge-upc/rvos-mots | 38dd9d552685e5e685903c2154097917444b2676 | [
"BSD-3-Clause"
] | null | null | null | src/utils/objectives.py | imatge-upc/rvos-mots | 38dd9d552685e5e685903c2154097917444b2676 | [
"BSD-3-Clause"
] | 1 | 2020-11-16T06:24:34.000Z | 2020-11-16T06:24:34.000Z | import torch
from utils.hungarian import softIoU, MaskedNLL, StableBalancedMaskedBCE, FocalLoss
import torch.nn as nn
from torch.autograd import Variable
class MaskedNLLLoss(nn.Module):
def __init__(self, balance_weight=None):
super(MaskedNLLLoss,self).__init__()
self.balance_weight=balance_weigh... | 32.943396 | 85 | 0.652348 |
93f2473dd28460d65442eba9b3e4fa6ffc8055b5 | 251 | py | Python | manage.py | machinalis/inventor | 63732c77122364956a5df37c2df126e8781e49e5 | [
"BSD-3-Clause"
] | 2 | 2015-09-21T02:07:55.000Z | 2018-04-06T05:07:20.000Z | manage.py | machinalis/inventor | 63732c77122364956a5df37c2df126e8781e49e5 | [
"BSD-3-Clause"
] | null | null | null | manage.py | machinalis/inventor | 63732c77122364956a5df37c2df126e8781e49e5 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "inventor.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| 22.818182 | 72 | 0.772908 |
93f25a120614a1c4a163e5922b1f53662bc796a6 | 5,489 | py | Python | jina/drivers/search.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | null | null | null | jina/drivers/search.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | null | null | null | jina/drivers/search.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | null | null | null | __copyright__ = "Copyright (c) 2020 Jina AI Limited. All rights reserved."
__license__ = "Apache-2.0"
from typing import Iterable, Tuple, Optional
from . import (
BaseExecutableDriver,
QuerySetReader,
FlatRecursiveMixin,
ContextAwareRecursiveMixin,
)
from ..types.document import Document
from ..types.... | 36.111842 | 119 | 0.610129 |
93f25e724ddffb799f900b3243b4f30592c6ee68 | 512 | py | Python | ads/hpo/visualization/_optimization_history.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | 20 | 2022-02-22T19:07:09.000Z | 2022-03-16T17:21:42.000Z | ads/hpo/visualization/_optimization_history.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | null | null | null | ads/hpo/visualization/_optimization_history.py | oracle/accelerated-data-science | d594ed0c8c1365daf4cf9e860daebc760fa9a24b | [
"UPL-1.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*--
# Copyright (c) 2021, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
import matplotlib.pyplot as plt
from optuna.study import Study
from optuna.visualization.matplotlib import pl... | 25.6 | 104 | 0.740234 |
93f279b781557506688dc6d2e95abe47bbf28b43 | 1,422 | py | Python | config/settings/test.py | dark-codr/ebiangala | 0af3de29b2afa71df3e138cd16ecddc69fbd597d | [
"MIT"
] | 1 | 2021-03-25T14:06:23.000Z | 2021-03-25T14:06:23.000Z | config/settings/test.py | dark-codr/ebiangala | 0af3de29b2afa71df3e138cd16ecddc69fbd597d | [
"MIT"
] | 5 | 2021-09-08T03:08:46.000Z | 2022-03-12T00:56:35.000Z | config/settings/test.py | me-edavids/ebiangala | 0af3de29b2afa71df3e138cd16ecddc69fbd597d | [
"MIT"
] | null | null | null | """
With these settings, tests run faster.
"""
from .base import * # noqa
from .base import env
# GENERAL
# ------------------------------------------------------------------------------
# https://docs.djangoproject.com/en/dev/ref/settings/#secret-key
SECRET_KEY = env(
"DJANGO_SECRET_KEY",
default="XfVeOOcsT... | 33.857143 | 80 | 0.510549 |
93f27a04f5c53da26bcd07a124fade0b45da65d5 | 11,043 | py | Python | Pattern_Generator.py | CODEJIN/MLPSinger | 404af5bdd092fbf91f615043bd50457c0fd80c23 | [
"MIT"
] | 18 | 2021-06-27T18:01:18.000Z | 2022-03-26T08:48:46.000Z | Pattern_Generator.py | CODEJIN/MLPSinger | 404af5bdd092fbf91f615043bd50457c0fd80c23 | [
"MIT"
] | 1 | 2021-09-23T02:56:21.000Z | 2021-09-23T14:49:05.000Z | Pattern_Generator.py | CODEJIN/MLPSinger | 404af5bdd092fbf91f615043bd50457c0fd80c23 | [
"MIT"
] | 3 | 2021-08-11T03:31:11.000Z | 2022-02-06T18:33:32.000Z | from unicodedata import decimal
import numpy as np
import mido, os, pickle, yaml, argparse, math, librosa, hgtk
from tqdm import tqdm
from typing import List, Tuple
from argparse import Namespace # for type
import torch
from meldataset import mel_spectrogram, spectrogram
from Arg_Parser import Recursive_Parse
def CS... | 41.515038 | 168 | 0.615594 |
93f2a7e6ee28a25517b9e1da1b79980562795fcc | 3,999 | py | Python | tests/collections_tests/pagination_test.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 19 | 2016-08-06T20:06:21.000Z | 2020-10-22T08:31:49.000Z | tests/collections_tests/pagination_test.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 104 | 2016-07-31T19:45:00.000Z | 2021-09-15T08:13:36.000Z | tests/collections_tests/pagination_test.py | projectshift/shift-boiler | 5f1d236b97fc814ba72897fa8bc76c7518bd1919 | [
"MIT"
] | 1 | 2017-12-30T09:07:38.000Z | 2017-12-30T09:07:38.000Z | from unittest import mock
from nose.plugins.attrib import attr
from tests.base_testcase import BoilerTestCase
from boiler.collections.pagination import paginate
from pprint import pprint as pp
@attr('kernel', 'collections', 'pagination')
class PaginationTest(BoilerTestCase):
def test_first_doesnt_go_below_zero(s... | 31 | 73 | 0.6019 |
93f2b058deffd5b2b6b7bd3e8d8df5bb25e71570 | 2,506 | py | Python | airflow/api_connexion/endpoints/connection_endpoint.py | joshowen/airflow | d0cf232919839d0e338dcc38a5c7a1841077eaae | [
"Apache-2.0"
] | null | null | null | airflow/api_connexion/endpoints/connection_endpoint.py | joshowen/airflow | d0cf232919839d0e338dcc38a5c7a1841077eaae | [
"Apache-2.0"
] | null | null | null | airflow/api_connexion/endpoints/connection_endpoint.py | joshowen/airflow | d0cf232919839d0e338dcc38a5c7a1841077eaae | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 32.973684 | 100 | 0.739026 |
93f2e1aa111f7bedef0e424f8b0a62863dd1cf09 | 955 | py | Python | Data/timestamp_to_pitch.py | dchoff/GuiTabs | 975981359e6dc55d619023f00d7b75c416090bbf | [
"MIT"
] | null | null | null | Data/timestamp_to_pitch.py | dchoff/GuiTabs | 975981359e6dc55d619023f00d7b75c416090bbf | [
"MIT"
] | null | null | null | Data/timestamp_to_pitch.py | dchoff/GuiTabs | 975981359e6dc55d619023f00d7b75c416090bbf | [
"MIT"
] | null | null | null | from os import listdir
from os.path import isfile, join
import csv, numpy as np, librosa
## Turns timestamps from an audiofile into Pitches
# take filename and arr of timestamps
# returns: array of pitches at those timestamps
def timestamp_to_pitch(filename, beats):
pitches = []
print(beats)
with open('./2... | 34.107143 | 79 | 0.587435 |
93f308a1886fe8c18aafbf91bb1df4fd22efb58c | 6,747 | py | Python | tests/tests/common_update.py | spockfish/mender-integration | 09441e4ec88c837605aa12d70db4faa8f1a16b59 | [
"Apache-2.0"
] | null | null | null | tests/tests/common_update.py | spockfish/mender-integration | 09441e4ec88c837605aa12d70db4faa8f1a16b59 | [
"Apache-2.0"
] | null | null | null | tests/tests/common_update.py | spockfish/mender-integration | 09441e4ec88c837605aa12d70db4faa8f1a16b59 | [
"Apache-2.0"
] | 1 | 2020-08-18T15:39:46.000Z | 2020-08-18T15:39:46.000Z | #!/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... | 43.529032 | 138 | 0.635838 |
93f30e4a3b6d78c3ef524c4eb0ad823d88665a77 | 11,316 | py | Python | viadot/tasks/supermetrics.py | angelika233/viadot | 99a4c5b622ad099a44ab014a47ba932a747c0ae6 | [
"MIT"
] | null | null | null | viadot/tasks/supermetrics.py | angelika233/viadot | 99a4c5b622ad099a44ab014a47ba932a747c0ae6 | [
"MIT"
] | null | null | null | viadot/tasks/supermetrics.py | angelika233/viadot | 99a4c5b622ad099a44ab014a47ba932a747c0ae6 | [
"MIT"
] | null | null | null | from datetime import timedelta
from typing import Any, Dict, List, Union
import pandas as pd
from prefect import Task
from prefect.utilities.tasks import defaults_from_attrs
from ..sources import Supermetrics
class SupermetricsToCSV(Task):
"""
Task to downloading data from Supermetrics API to CSV file.
... | 39.291667 | 113 | 0.614351 |
93f34d81f767bd5d85bb045c2650db18e6f93019 | 2,187 | py | Python | development/scripts/prepro/split_dataset.py | atomicsulfate/meshcnn-4-cadseg | c0d91ec593293cb58eec422556d1322a3b4f6183 | [
"MIT"
] | 7 | 2021-04-07T06:31:58.000Z | 2022-01-27T09:49:51.000Z | development/scripts/prepro/split_dataset.py | atomicsulfate/meshcnn-4-cadseg | c0d91ec593293cb58eec422556d1322a3b4f6183 | [
"MIT"
] | null | null | null | development/scripts/prepro/split_dataset.py | atomicsulfate/meshcnn-4-cadseg | c0d91ec593293cb58eec422556d1322a3b4f6183 | [
"MIT"
] | 2 | 2021-05-19T03:39:04.000Z | 2021-08-12T08:20:19.000Z |
import os, sys, yaml
from pathlib import Path
import argparse
import math
import numpy as np
import random
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__),"../../..")))
def getObjLinks(datasetRoot):
objLinkPaths = []
for root, _, fnames in os.walk(datasetRoot):
for fname in fnam... | 30.802817 | 113 | 0.724737 |
93f35549571d3ddf05c9b8e77f1086117b8ef751 | 910 | py | Python | ria/GreyMatter/general_conversations.py | sjsucohort6/amigo-chatbot | ca4be6e0b90cd581b34f7414159dfc6a50eca969 | [
"MIT"
] | 5 | 2017-06-16T00:23:31.000Z | 2019-10-15T14:20:56.000Z | ria/GreyMatter/general_conversations.py | sjsucohort6/amigo-chatbot | ca4be6e0b90cd581b34f7414159dfc6a50eca969 | [
"MIT"
] | null | null | null | ria/GreyMatter/general_conversations.py | sjsucohort6/amigo-chatbot | ca4be6e0b90cd581b34f7414159dfc6a50eca969 | [
"MIT"
] | 3 | 2017-10-01T18:11:42.000Z | 2019-03-28T06:14:07.000Z | from SenseCells.tts import tts
import random
def who_are_you():
messages = ['I am Ria, your lovely personal assistant.',
'Ria, didnt I tell you before?',
'You ask that so many times! I am Ria.']
tts(random.choice(messages))
def how_am_i():
replies =['You are perfect!', 'My ... | 32.5 | 83 | 0.628571 |
93f379c5db3821fc5e9def059c3b97e39363cd91 | 4,959 | py | Python | advanced-lane-detection/advanced-lane-detection-algorithm/sliding_window.py | sieniven/self-driving-project | ae135319f0991a940241c71f498865822a4f5b80 | [
"Apache-2.0"
] | 1 | 2018-11-22T16:08:15.000Z | 2018-11-22T16:08:15.000Z | src/slidingwindow.py | theimgclist/SelfDrivingCarTerm1 | 4769975fae4d466990ac315f9650b6aaf416d239 | [
"MIT"
] | null | null | null | src/slidingwindow.py | theimgclist/SelfDrivingCarTerm1 | 4769975fae4d466990ac315f9650b6aaf416d239 | [
"MIT"
] | 1 | 2022-03-31T10:33:45.000Z | 2022-03-31T10:33:45.000Z | import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import cv2
# Load our image
binary_warped = mpimg.imread('warped_example.jpg')
def find_lane_pixels(binary_warped):
# Take a histogram of the bottom half of the image
histogram = np.sum(binary_warped[binary_warped.shape[0]//2:... | 39.991935 | 83 | 0.682799 |
93f37e5dce8f4137991659b123b96ecf4a4d0143 | 34,797 | py | Python | topo/tkgui/plotgrouppanel.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 40 | 2015-02-05T14:53:10.000Z | 2020-10-12T06:26:23.000Z | topo/tkgui/plotgrouppanel.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 95 | 2015-01-01T16:14:20.000Z | 2022-02-11T22:50:27.000Z | topo/tkgui/plotgrouppanel.py | ceball/topographica | ec0eea614409ceb7473e04bc2f6b6c888099160f | [
"BSD-3-Clause"
] | 22 | 2015-05-03T10:24:17.000Z | 2019-11-15T06:34:31.000Z | """
Classes providing GUI windows for PlotGroups, allowing sets of related plots
to be displayed.
"""
import copy
import ImageTk
import Tkinter
from Tkinter import Frame, TOP, YES, BOTH, X, LEFT, \
RIGHT, DISABLED, NORMAL, Canvas, Label, NSEW, \
NO, NONE,TclError
import param
# CEBALERT: here and elsewh... | 38.029508 | 181 | 0.613214 |
93f38d2075c2e67b951e7147908e28f4a162944e | 595 | py | Python | h2o-py/tests/testdir_apis/H2O_Module/pyunit_h2oload_dataset.py | My-Technical-Architect/h2o-3 | d383802fb7f9c3ec9c72b7869fe636059a333d88 | [
"Apache-2.0"
] | 1 | 2017-03-28T09:10:12.000Z | 2017-03-28T09:10:12.000Z | h2o-py/tests/testdir_apis/H2O_Module/pyunit_h2oload_dataset.py | My-Technical-Architect/h2o-3 | d383802fb7f9c3ec9c72b7869fe636059a333d88 | [
"Apache-2.0"
] | null | null | null | h2o-py/tests/testdir_apis/H2O_Module/pyunit_h2oload_dataset.py | My-Technical-Architect/h2o-3 | d383802fb7f9c3ec9c72b7869fe636059a333d88 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import sys
sys.path.insert(1,"../../../")
from tests import pyunit_utils
import h2o
from h2o.utils.typechecks import assert_is_type
from h2o.frame import H2OFrame
def h2oload_dataset():
"""
Python API test: h2o.load_dataset(relative_path)
"""
try:
prostate... | 24.791667 | 66 | 0.715966 |
93f406ae43982dfbb9e1c90039182e08d00adda1 | 1,493 | py | Python | tests/unit/plugins/resources/test_resource_directive.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | 2 | 2017-11-08T19:55:57.000Z | 2018-12-21T12:41:41.000Z | tests/unit/plugins/resources/test_resource_directive.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | null | null | null | tests/unit/plugins/resources/test_resource_directive.py | pauleveritt/kaybee | a00a718aaaa23b2d12db30dfacb6b2b6ec84459c | [
"Apache-2.0"
] | 1 | 2018-10-13T08:59:29.000Z | 2018-10-13T08:59:29.000Z | from kaybee import app
from kaybee.plugins.resources.directive import ResourceDirective
class TestResourceDirective:
def test_import(self):
assert 'ResourceDirective' == ResourceDirective.__name__
def test_construction(self, dummy_directive):
assert 'dummy_directive' == dummy_directive.name
... | 36.414634 | 64 | 0.636973 |
93f40c3ca71f7812208b64e11c39b183f3b7aa00 | 1,464 | py | Python | src/dewloosh/geom/extrude.py | dewloosh/dewloosh-geom | 5c97fbab4b68f4748bf4309184b9e0e877f94cd6 | [
"MIT"
] | 2 | 2021-12-11T17:25:51.000Z | 2022-01-06T15:36:27.000Z | src/dewloosh/geom/extrude.py | dewloosh/dewloosh-geom | 5c97fbab4b68f4748bf4309184b9e0e877f94cd6 | [
"MIT"
] | null | null | null | src/dewloosh/geom/extrude.py | dewloosh/dewloosh-geom | 5c97fbab4b68f4748bf4309184b9e0e877f94cd6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from numpy import ndarray
from numba import njit, prange
__cache = True
@njit(nogil=True, parallel=True, cache=__cache)
def extrude_T3_TET4(points: ndarray, triangles: ndarray,
h: float=1.0, zres: int=1):
nT = triangles.shape[0]
nP = points.shap... | 31.148936 | 67 | 0.465164 |
93f437c2b5f0986f5cb71120803ed465f8d83112 | 1,718 | py | Python | examples/BSTLD.py | YiweiLi4/tensorbay-python-sdk | 20fc8b37bad01c2d201a87b1436f1d4ff77d76df | [
"MIT"
] | null | null | null | examples/BSTLD.py | YiweiLi4/tensorbay-python-sdk | 20fc8b37bad01c2d201a87b1436f1d4ff77d76df | [
"MIT"
] | null | null | null | examples/BSTLD.py | YiweiLi4/tensorbay-python-sdk | 20fc8b37bad01c2d201a87b1436f1d4ff77d76df | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright 2021 Graviti. Licensed under MIT License.
#
# pylint: disable=wrong-import-position
# pylint: disable=wrong-import-order
# pylint: disable=not-callable
# pylint: disable=ungrouped-imports
# pylint: disable=import-error
# pylint: disable=pointless-string-statement
# pylint: disable=... | 22.025641 | 81 | 0.717695 |
93f43b418cac4d987c60fdaca87d63b2f7070a15 | 359 | py | Python | agents.py | sander-adam/four-in-a-row-competition | 6a35d0375ce079ba94662d9fc9d2d54669a5725c | [
"MIT"
] | null | null | null | agents.py | sander-adam/four-in-a-row-competition | 6a35d0375ce079ba94662d9fc9d2d54669a5725c | [
"MIT"
] | null | null | null | agents.py | sander-adam/four-in-a-row-competition | 6a35d0375ce079ba94662d9fc9d2d54669a5725c | [
"MIT"
] | null | null | null | import random
import numpy as np
class RandomMove:
def __init__(self):
self.name = 'Random Move'
def move(self, game):
return random.choice(game.legal_moves())
class AllLeft:
def __init__(self):
self.name = 'All to the Left'
def move(self, game):
arr = np.array(game.... | 19.944444 | 48 | 0.618384 |
93f446380eccd72724131b20868003b1272b6c26 | 1,620 | py | Python | tests/unit/test_cmdline.py | seddonym/python-layer-linter | ae27a29294999e58f3ce0acfc86e8ce7376c727a | [
"BSD-3-Clause"
] | 63 | 2018-06-21T10:39:54.000Z | 2021-06-04T14:28:44.000Z | tests/unit/test_cmdline.py | seddonym/python-layer-linter | ae27a29294999e58f3ce0acfc86e8ce7376c727a | [
"BSD-3-Clause"
] | 86 | 2018-06-20T13:30:30.000Z | 2019-06-04T12:47:28.000Z | tests/unit/test_cmdline.py | seddonym/python-layer-linter | ae27a29294999e58f3ce0acfc86e8ce7376c727a | [
"BSD-3-Clause"
] | 4 | 2018-08-14T08:49:55.000Z | 2019-02-16T09:24:47.000Z | from unittest.mock import patch
import pytest
from layer_linter import cmdline
from layer_linter.cmdline import _normalise_verbosity, _main
from layer_linter.report import VERBOSITY_HIGH, VERBOSITY_NORMAL, VERBOSITY_QUIET
@pytest.mark.parametrize(
'verbosity,is_quiet,expected_result', (
(0, True, VERBOS... | 34.468085 | 93 | 0.722222 |
93f44b235d55d5c1e81ab49d3021f0be8c913023 | 4,841 | py | Python | venv/Lib/site-packages/nbdime/patching.py | PeerHerholz/guideline_jupyter_book | ce445e4be0d53370b67708a22550565b90d71ac6 | [
"BSD-3-Clause"
] | 2 | 2021-02-16T16:17:07.000Z | 2021-11-08T20:27:13.000Z | venv/Lib/site-packages/nbdime/patching.py | PeerHerholz/guideline_jupyter_book | ce445e4be0d53370b67708a22550565b90d71ac6 | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/nbdime/patching.py | PeerHerholz/guideline_jupyter_book | ce445e4be0d53370b67708a22550565b90d71ac6 | [
"BSD-3-Clause"
] | 4 | 2020-11-14T17:05:36.000Z | 2020-11-16T18:44:54.000Z | # coding: utf-8
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import unicode_literals
import copy
from six import string_types
import nbformat
from nbformat import NotebookNode
from .diff_format import DiffOp, NBDiffFormatError
from .diff_utils ... | 33.618056 | 87 | 0.643462 |
93f471db22b46300b96aec50cd996c8e27eeecdc | 266 | py | Python | Common/StockType/Currencies/Crypto/CryptoCurrency.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 2 | 2020-03-04T11:18:38.000Z | 2020-05-10T15:36:42.000Z | Common/StockType/Currencies/Crypto/CryptoCurrency.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 6 | 2020-03-30T16:42:47.000Z | 2021-12-13T20:37:21.000Z | Common/StockType/Currencies/Crypto/CryptoCurrency.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 1 | 2020-04-14T11:26:16.000Z | 2020-04-14T11:26:16.000Z | from Common.StockType.Currencies.AbstractCurrency import AbstractCurrency
class CryptoCurrency(AbstractCurrency):
def __init__(self, c_name: str, t_name: str):
super().__init__(c_name.replace(' ', '').replace('-', ''))
self.__class = 'Crypto'
| 29.555556 | 73 | 0.695489 |
93f4739f74e245c691d0b91b8c21c10c3cbd5683 | 2,688 | py | Python | torchdata/datapipes/iter/util/bz2fileloader.py | jkulhanek/torchdata | 2e8b9f613a13c74b424651649f317c7b322131d6 | [
"BSD-3-Clause"
] | 611 | 2021-09-27T18:19:16.000Z | 2022-03-31T11:36:01.000Z | torchdata/datapipes/iter/util/bz2fileloader.py | jkulhanek/torchdata | 2e8b9f613a13c74b424651649f317c7b322131d6 | [
"BSD-3-Clause"
] | 271 | 2021-09-27T19:07:00.000Z | 2022-03-30T19:55:14.000Z | torchdata/datapipes/iter/util/bz2fileloader.py | jkulhanek/torchdata | 2e8b9f613a13c74b424651649f317c7b322131d6 | [
"BSD-3-Clause"
] | 36 | 2021-09-27T19:22:32.000Z | 2022-03-29T12:49:06.000Z | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import bz2
import warnings
from io import BufferedIOBase
from typing import Iterable, Iterator, Tuple
from tor... | 40.727273 | 116 | 0.685268 |
93f47a6304d11fa090193a369c5fa5cba338f03d | 5,821 | py | Python | flexget/plugins/urlrewrite_piratebay.py | BrainDamage/Flexget | 50f75bdad64ce023daaff334df8478319ddb9f64 | [
"MIT"
] | null | null | null | flexget/plugins/urlrewrite_piratebay.py | BrainDamage/Flexget | 50f75bdad64ce023daaff334df8478319ddb9f64 | [
"MIT"
] | 1 | 2018-06-09T18:03:35.000Z | 2018-06-09T18:03:35.000Z | flexget/plugins/urlrewrite_piratebay.py | sasese/Flexget | 8cca4a6a3cacc919c7a5b36f428176e170739de5 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals, division, absolute_import
import re
import urllib
import logging
from flexget import plugin
from flexget.entry import Entry
from flexget.event import event
from flexget.plugins.plugin_urlrewriting import UrlRewritingError
from flexget.utils import requests
from flexget.utils.so... | 36.841772 | 115 | 0.542347 |
93f48e9cdb8154e9fd55b1f8c25ccdb61ee83232 | 3,349 | py | Python | gpAux/extensions/gphdfs/regression/legacy/test_cdh_integration.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 9 | 2018-04-20T03:31:01.000Z | 2020-05-13T14:10:53.000Z | gpAux/extensions/gphdfs/regression/legacy/test_cdh_integration.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 36 | 2017-09-21T09:12:27.000Z | 2020-06-17T16:40:48.000Z | gpAux/extensions/gphdfs/regression/legacy/test_cdh_integration.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 32 | 2017-08-31T12:50:52.000Z | 2022-03-01T07:34:53.000Z | """
Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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
... | 41.345679 | 177 | 0.711556 |
93f4b0d49bd7720941bb6d26702f246266d2b6d5 | 18,114 | py | Python | workflows/migrations/0001_initial.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | 4 | 2017-12-13T10:59:42.000Z | 2019-11-03T17:26:19.000Z | workflows/migrations/0001_initial.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | 21 | 2017-04-05T08:03:54.000Z | 2022-03-11T23:16:03.000Z | workflows/migrations/0001_initial.py | xflows/clowdflows-backend | 9fae3a27d16035147bebac6efcd7617aec35e0f3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.8 on 2016-07-26 09:15
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import picklefield.fields
import workflows.thumbs
class Migration(migrations.Migration):
initial = True
dependencies = [
... | 64.924731 | 517 | 0.622723 |
93f4b2d91265ef6912cf72ea8d19884ad2f307bb | 4,233 | py | Python | src/pixel_ring_server.py | PTA84/vietbot | 681f63d9118bd9b5ef80d6c0736332a7cdeaf761 | [
"Apache-2.0"
] | 9 | 2021-02-01T08:07:05.000Z | 2021-08-25T15:22:46.000Z | src/pixel_ring_server.py | PTA84/vietbot | 681f63d9118bd9b5ef80d6c0736332a7cdeaf761 | [
"Apache-2.0"
] | null | null | null | src/pixel_ring_server.py | PTA84/vietbot | 681f63d9118bd9b5ef80d6c0736332a7cdeaf761 | [
"Apache-2.0"
] | 9 | 2021-02-03T13:34:19.000Z | 2021-12-27T13:28:24.000Z | #!/usr/bin/env python
#! -*- coding: utf-8 -*-
import os
import time
from pydbus import SystemBus
from gi.repository import GLib
from pixel_ring import pixel_ring
import mraa
import signal
def setup_signals(signals, handler):
"""
This is a workaround to signal.signal(signal, handler)
which does not work w... | 26.45625 | 91 | 0.568627 |
93f55ff0315d287f22c31a5011458da16ad10f21 | 34,826 | py | Python | common/middleware/tempauth.py | escudocloud/encswift_server | 90a5a999c06b40da89d5f785795f80bd9d990640 | [
"Apache-2.0"
] | null | null | null | common/middleware/tempauth.py | escudocloud/encswift_server | 90a5a999c06b40da89d5f785795f80bd9d990640 | [
"Apache-2.0"
] | null | null | null | common/middleware/tempauth.py | escudocloud/encswift_server | 90a5a999c06b40da89d5f785795f80bd9d990640 | [
"Apache-2.0"
] | 1 | 2016-09-27T09:08:24.000Z | 2016-09-27T09:08:24.000Z | # Copyright (c) 2011-2014 OpenStack Foundation
#
# 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 agree... | 44.821107 | 79 | 0.585367 |
93f5b1708f7b47a114b0990a9941be1aa6ac3ebe | 2,764 | py | Python | tests/test_wrappers.py | innotrade24/python-amazon-mws1 | 7e387b076bcab489cf024624fefaa0dd3b1bcb2a | [
"Unlicense"
] | 1 | 2018-06-29T06:13:02.000Z | 2018-06-29T06:13:02.000Z | tests/test_wrappers.py | innotrade24/python-amazon-mws1 | 7e387b076bcab489cf024624fefaa0dd3b1bcb2a | [
"Unlicense"
] | null | null | null | tests/test_wrappers.py | innotrade24/python-amazon-mws1 | 7e387b076bcab489cf024624fefaa0dd3b1bcb2a | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
import pytest
from mws.mws import validate_hash, DataWrapper, MWSError
class FakeResponse(object):
def __init__(self, content, hash=None, apparent_encoding=None):
self.status_code = 200
self.encoding = 'Cp1252' # we overwrite this flag
self.headers = {'content-md... | 37.351351 | 98 | 0.667511 |
93f5b9f8abc98ecc52864dda0fec7500be217abb | 5,859 | py | Python | Tools/resultsdbpy/resultsdbpy/controller/archive_controller.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 6 | 2021-07-05T16:09:39.000Z | 2022-03-06T22:44:42.000Z | Tools/resultsdbpy/resultsdbpy/controller/archive_controller.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | 7 | 2022-03-15T13:25:39.000Z | 2022-03-15T13:25:44.000Z | Tools/resultsdbpy/resultsdbpy/controller/archive_controller.py | jacadcaps/webkitty | 9aebd2081349f9a7b5d168673c6f676a1450a66d | [
"BSD-2-Clause"
] | null | null | null | # Copyright (C) 2019 Apple Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the f... | 45.418605 | 126 | 0.664107 |
93f5bff3227607da9a477161274a846833feb7d0 | 2,328 | py | Python | test_pymeteobridge.py | briis/pymeteobridgeio | 7a3f51d9d6bd29697b99ac088904ea7d289a0bb3 | [
"MIT"
] | null | null | null | test_pymeteobridge.py | briis/pymeteobridgeio | 7a3f51d9d6bd29697b99ac088904ea7d289a0bb3 | [
"MIT"
] | 5 | 2020-06-03T11:57:17.000Z | 2020-06-29T05:34:26.000Z | test_pymeteobridge.py | briis/pymeteobridgeio | 7a3f51d9d6bd29697b99ac088904ea7d289a0bb3 | [
"MIT"
] | 1 | 2020-06-07T12:44:10.000Z | 2020-06-07T12:44:10.000Z | """ The test for the API """
"""Run an example script to quickly test."""
import asyncio
from aiohttp import ClientSession
import time
import json
import logging
from pymeteobridgeio import (
Meteobridge,
RequestError,
ResultError,
InvalidCredentials,
DEVICE_TYPE_BINARY_SENSOR,
DEVICE_TYPE_SENS... | 30.233766 | 243 | 0.693299 |
93f5c904a083285c5cbe8828e1dffbb6dfd567fa | 73,523 | py | Python | sample_mods/bfb/bfb_abs_cons7momdt_ht.py | kuanhanl/cappresse | 31cd7d03414a930f7e2c21e1a3eb5e7dd25cc500 | [
"MIT"
] | 2 | 2019-09-26T20:56:06.000Z | 2019-11-18T21:03:27.000Z | sample_mods/bfb/bfb_abs_cons7momdt_ht.py | kuanhanl/cappresse | 31cd7d03414a930f7e2c21e1a3eb5e7dd25cc500 | [
"MIT"
] | 6 | 2018-03-19T20:36:49.000Z | 2018-04-13T15:27:29.000Z | sample_mods/bfb/bfb_abs_cons7momdt_ht.py | kuanhanl/cappresse | 31cd7d03414a930f7e2c21e1a3eb5e7dd25cc500 | [
"MIT"
] | 5 | 2018-10-04T18:51:02.000Z | 2020-07-02T15:31:35.000Z | from __future__ import division
from pyomo.core.base import Constraint, sqrt, exp, Expression, log
from nmpc_mhe.aux.cpoinsc import collptsgen
from nmpc_mhe.aux.lagrange_f import lgr, lgry, lgrdot, lgrydot
"""
Version note implemented momentum balance and diffusive terms for the bubble region (gas)
have pressure give... | 40.419461 | 461 | 0.489221 |
93f600cca917da8624cc8853627021ca4c238803 | 10,131 | py | Python | tests/graph/test_types.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | tests/graph/test_types.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | tests/graph/test_types.py | anirudhacharya/Theano-PyMC | 55f54243cf88397b032ebc7121d1090ee91aea7d | [
"BSD-3-Clause"
] | null | null | null | import os
import numpy as np
import pytest
import aesara
from aesara import scalar as aes
from aesara.graph.basic import Apply, Variable
from aesara.graph.op import COp
from aesara.graph.type import CDataType, CEnumType, EnumList, EnumType, Type
from aesara.tensor.type import TensorType, continuous_dtypes
class MyT... | 28.699717 | 88 | 0.549798 |
93f60d9de9d900120c27c77bc9305c8b967f16e7 | 1,085 | py | Python | classes/generalfunctions.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | null | null | null | classes/generalfunctions.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | null | null | null | classes/generalfunctions.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | 2 | 2020-12-15T11:53:41.000Z | 2021-01-07T01:09:33.000Z | '''
File for storing any general functions that get regularly reused
Code for conditional read/create found at
https://www.w3schools.com/python/ref_func_open.asp
'''
import os
import pygame
from operator import itemgetter
HIGH_SCORE_LOCATION = 'other_data/highscores.txt'
def quitGame():
'''
Function to qu... | 21.7 | 74 | 0.630415 |
93f60df86339b538e17b32ddb02fd1cf593314f1 | 41,891 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_11_01/_network_management_client.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_11_01/_network_management_client.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_11_01/_network_management_client.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # 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 ... | 83.9499 | 3,510 | 0.831539 |
93f620c105aeff55674e36c3e32df77df0cadf4d | 919 | py | Python | analysis/poisson.py | TheGreatCabbage/ParticlePy | 676d99cfa244b0365dbfb9693acaed1265910299 | [
"MIT"
] | null | null | null | analysis/poisson.py | TheGreatCabbage/ParticlePy | 676d99cfa244b0365dbfb9693acaed1265910299 | [
"MIT"
] | null | null | null | analysis/poisson.py | TheGreatCabbage/ParticlePy | 676d99cfa244b0365dbfb9693acaed1265910299 | [
"MIT"
] | null | null | null | import pi_muons as mu
import math
from matplotlib import pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
import scipy as sp
from scipy import stats
counts = mu.get_counts()
diffs = []
num_counts = len(counts)
for i in range(0, num_counts):
if i >= num_counts - 1: # Reached last value to fin... | 24.837838 | 82 | 0.698585 |
93f647173eab3fe9ce3a1f950284e77f5c7e1677 | 9,522 | py | Python | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2020_09_30/aio/operations/_disk_restore_point_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2020_09_30/aio/operations/_disk_restore_point_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2020_09_30/aio/operations/_disk_restore_point_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # 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 ... | 48.581633 | 269 | 0.690086 |
93f65b9bb0e6c652e1d94457f005feb32c42a4c5 | 5,016 | py | Python | seq_graph_retro/data/dataset.py | vsomnath/graphretro | 2a88730da980be59541780e790cdb0fbdc581828 | [
"MIT"
] | 5 | 2022-02-21T08:26:15.000Z | 2022-03-31T12:05:47.000Z | seq_graph_retro/data/dataset.py | vsomnath/graphretro | 2a88730da980be59541780e790cdb0fbdc581828 | [
"MIT"
] | null | null | null | seq_graph_retro/data/dataset.py | vsomnath/graphretro | 2a88730da980be59541780e790cdb0fbdc581828 | [
"MIT"
] | 2 | 2022-03-11T15:33:33.000Z | 2022-03-23T06:28:07.000Z | import torch
from typing import Any, Tuple, List
import os
import joblib
from seq_graph_retro.utils.parse import ReactionInfo
class BaseDataset(torch.utils.data.Dataset):
"""BaseDataset is an abstract class that loads the saved tensor batches and
passes them to the model for training."""
def __init__(sel... | 35.574468 | 121 | 0.590311 |
93f670573477c3b80c56b59260d00e5c4137de9f | 2,789 | py | Python | unet/plain_unet.py | baiyang1220/tensorflow1.x-basic | f35801a92a2a1b0e610b4eba0b292df215fe8e7e | [
"MIT"
] | null | null | null | unet/plain_unet.py | baiyang1220/tensorflow1.x-basic | f35801a92a2a1b0e610b4eba0b292df215fe8e7e | [
"MIT"
] | null | null | null | unet/plain_unet.py | baiyang1220/tensorflow1.x-basic | f35801a92a2a1b0e610b4eba0b292df215fe8e7e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from basic_layers.tensorflow import conv
from basic_layers.tensorflow import conv_bn_relu
from basic_layers.tensorflow import maxpool
from basic_layers.tensorflow import upsample
from basic_layers.tensorflow import concat
from basic_layers.tensorflow import softmax
class PlainUnet:
"""
... | 34.012195 | 78 | 0.576551 |
93f693278ce735e799a9f90bf56af19c607fed3d | 2,166 | py | Python | python/q015/q15.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q015/q15.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | python/q015/q15.py | MatthewTsan/Leetcode | b0705013eea8517ba7742730cd14ea8601b83c70 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def threeSum(self, nums: List[int]) -> List[List[int]]:
nums.sort()
result = []
for index, item in enumerate(nums[:-2]):
if item > 0:
break
if item == nums[index - 1] and index > 0:
continue
... | 30.507042 | 68 | 0.346722 |
93f6ac383ca57a9053c5c79963090f11183cc881 | 2,992 | py | Python | cosmogrb/instruments/gbm/gbm_lightcurve.py | grburgess/cosmogrb | 55182f2223a329f598bcbc43448f3b0ae9f45448 | [
"BSD-2-Clause"
] | 3 | 2020-03-08T18:20:32.000Z | 2022-03-10T17:27:26.000Z | cosmogrb/instruments/gbm/gbm_lightcurve.py | grburgess/cosmogrb | 55182f2223a329f598bcbc43448f3b0ae9f45448 | [
"BSD-2-Clause"
] | 11 | 2020-03-04T17:21:15.000Z | 2020-06-09T12:20:00.000Z | cosmogrb/instruments/gbm/gbm_lightcurve.py | grburgess/cosmogrb | 55182f2223a329f598bcbc43448f3b0ae9f45448 | [
"BSD-2-Clause"
] | 5 | 2020-03-18T18:05:05.000Z | 2022-03-21T16:06:38.000Z | import numba as nb
import numpy as np
from cosmogrb.lightcurve.lightcurve import LightCurve
from cosmogrb.utils.logging import setup_logger
from cosmogrb.utils.tte_file import TTEFile
logger = setup_logger(__name__)
class GBMLightCurve(LightCurve):
def __init__(self, source, background, response, name, grb_name... | 26.477876 | 99 | 0.601939 |
93f6c2c8e09e96767c42ba612128f092f0efbc86 | 2,270 | py | Python | run.py | thusithathilina/multiple-scheduling-2.0 | f3897e4ac05f22505220ba0856f356691bc96843 | [
"MIT"
] | null | null | null | run.py | thusithathilina/multiple-scheduling-2.0 | f3897e4ac05f22505220ba0856f356691bc96843 | [
"MIT"
] | null | null | null | run.py | thusithathilina/multiple-scheduling-2.0 | f3897e4ac05f22505220ba0856f356691bc96843 | [
"MIT"
] | null | null | null | from scripts.experiment import *
from scripts.output_results import write_batch_experiment_summary
from datetime import date, datetime
from scripts.data_mode import DataMode
repeat_num = 1
enable_fdia = False
injection_percentage = 1/100
# household_nums = [2000, 4000, 6000, 8000, 10000]
# household_nums = [20, 40, 60... | 40.535714 | 116 | 0.703524 |
93f6c2e7ced6e46cbc0014ecc67e352e0fd72a27 | 490 | py | Python | Practica2/N-Cube Sum/Iterativo/cubo.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | 1 | 2021-09-30T20:05:41.000Z | 2021-09-30T20:05:41.000Z | Practica2/N-Cube Sum/Iterativo/cubo.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | null | null | null | Practica2/N-Cube Sum/Iterativo/cubo.py | JosueHernandezR/An-lisis-de-Algoritmos | 9953f2d3fee6b4cfe842fdbbea83b46b62fa123f | [
"MIT"
] | null | null | null | #Análisis de Algoritmos 3CV2
# Alan Romero Lucero
# Josué David Hernández Ramírez
# Práctica 2 Suma de las primeras n cúbicas "Iterativo"
#Este es el algoritmo de las sumas de forma iterativa
def cubo ( n ):
_sum, count, cubelist = 0, 1, [ ]
# Rango: Desde 1 <= i <= n.
for i in range ( 1, n + 1 ):
... | 27.222222 | 55 | 0.585714 |
93f6f94fc56808f5e146d14870b3b5f05f7fb0e0 | 39 | py | Python | tests/__init__.py | WWU-AMM/pytimings | 0a1b2a84e2820e5d9b447099f76b1a735663820b | [
"BSD-3-Clause"
] | null | null | null | tests/__init__.py | WWU-AMM/pytimings | 0a1b2a84e2820e5d9b447099f76b1a735663820b | [
"BSD-3-Clause"
] | 14 | 2021-02-16T08:07:59.000Z | 2021-11-30T11:51:58.000Z | tests/__init__.py | WWU-AMM/pytimings | 0a1b2a84e2820e5d9b447099f76b1a735663820b | [
"BSD-3-Clause"
] | null | null | null | """Unit test package for pytimings."""
| 19.5 | 38 | 0.692308 |
93f715e9820eb3b26cb06f746b8559df30a5125b | 2,590 | py | Python | optimize_example.py | airalcorn2/pytorch_trilinear_interpolation | b59c4e79b25aa77fa955217686bb46432e3bf314 | [
"MIT"
] | 1 | 2020-10-10T16:29:02.000Z | 2020-10-10T16:29:02.000Z | optimize_example.py | airalcorn2/pytorch_volume_rotator | b59c4e79b25aa77fa955217686bb46432e3bf314 | [
"MIT"
] | null | null | null | optimize_example.py | airalcorn2/pytorch_volume_rotator | b59c4e79b25aa77fa955217686bb46432e3bf314 | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use("agg")
from example_utils import *
from torch import nn, optim
if __name__ == "__main__":
(feat_vol, colors, coord_map, inv_coord_map, vol_dim, r, g, b) = init_vol()
if torch.cuda.is_available():
device = "cuda:0"
else:
device = "cpu"
in_vol_img = p... | 32.78481 | 87 | 0.603475 |
93f722de263bbf363bbecd2fe01cba44d1c144b2 | 546 | py | Python | rlkit/torch/sac/policies/lvm_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1,662 | 2018-01-25T05:23:56.000Z | 2021-07-19T10:14:06.000Z | rlkit/torch/sac/policies/lvm_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 121 | 2018-05-07T22:09:09.000Z | 2021-07-08T16:33:37.000Z | rlkit/torch/sac/policies/lvm_policy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 443 | 2018-03-04T17:53:25.000Z | 2021-07-21T17:16:16.000Z | from rlkit.torch.networks.stochastic.distribution_generator import (
DistributionGenerator
)
from rlkit.torch.sac.policies.base import (
TorchStochasticPolicy,
PolicyFromDistributionGenerator,
MakeDeterministic,
)
from rlkit.torch.lvm.latent_variable_model import LatentVariableModel
class LVMPolicy(L... | 27.3 | 69 | 0.739927 |
93f7329215dc7c471ddd83d412484c85da102990 | 396 | py | Python | 04 - Structured Data, Mutability & High Level functions/02 - Functions like expressions/functions_like_expressions.py | MarquezLuis96/CompThink_Python | e8d3db42c5568c4fa1d6f4d6376a871b4bd3128e | [
"MIT"
] | null | null | null | 04 - Structured Data, Mutability & High Level functions/02 - Functions like expressions/functions_like_expressions.py | MarquezLuis96/CompThink_Python | e8d3db42c5568c4fa1d6f4d6376a871b4bd3128e | [
"MIT"
] | null | null | null | 04 - Structured Data, Mutability & High Level functions/02 - Functions like expressions/functions_like_expressions.py | MarquezLuis96/CompThink_Python | e8d3db42c5568c4fa1d6f4d6376a871b4bd3128e | [
"MIT"
] | null | null | null | # Date: 2020/11/17
# Author: Luis Marquez
# Description:
# This is a program to lear how to use functions like expressions
# #
#plus
plus = lambda x, y : x + y
#multiplication
mult = lambda x, y : x* y
#run: On this function we will run all the other functios written in our program
def run():
... | 17.217391 | 80 | 0.651515 |
93f767b17ba6b9b8edcdb90ca1251c3063e08da5 | 5,330 | py | Python | twirps/data_investigation.py | condnsdmatters/twirps | e2a15ae21129fedb400415ad1b70f6a931b046c4 | [
"MIT"
] | 3 | 2015-05-08T16:19:40.000Z | 2016-05-03T07:54:04.000Z | twirps/data_investigation.py | condnsdmatters/twirps | e2a15ae21129fedb400415ad1b70f6a931b046c4 | [
"MIT"
] | null | null | null | twirps/data_investigation.py | condnsdmatters/twirps | e2a15ae21129fedb400415ad1b70f6a931b046c4 | [
"MIT"
] | null | null | null | import numpy as np
import scipy as sp
from sklearn.feature_extraction import DictVectorizer
from sklearn.preprocessing import normalize
import json, sys , sets
import logging
LOGGER = logging.getLogger(__name__)
np.set_printoptions(threshold=1e9)
""" basic implementation of kmeans:
create MATRIX M: (370 x 30000)... | 30.988372 | 105 | 0.657223 |
93f7d67cc0603e537a515b3ff07cb1f9b9885d12 | 145 | py | Python | Python/String Split and join.py | shivendra90/HackerRank_Solutions | 0e6f9b907c5f8ca93b2945787cb1fe7ed172bed6 | [
"MIT"
] | null | null | null | Python/String Split and join.py | shivendra90/HackerRank_Solutions | 0e6f9b907c5f8ca93b2945787cb1fe7ed172bed6 | [
"MIT"
] | null | null | null | Python/String Split and join.py | shivendra90/HackerRank_Solutions | 0e6f9b907c5f8ca93b2945787cb1fe7ed172bed6 | [
"MIT"
] | null | null | null | def split_and_join(line):
# write your code here
line = str(line)
line = line.split(" ")
line = "-".join(line)
return line
| 16.111111 | 26 | 0.57931 |
93f7e5dcff249bea2746d415ae70a3405ad51214 | 197 | py | Python | hiicart/gateway/paypal/urls.py | kbourgoin/hiicart | 151d64be60ffa5e09b4abc21bf42fd235bf87eea | [
"MIT"
] | null | null | null | hiicart/gateway/paypal/urls.py | kbourgoin/hiicart | 151d64be60ffa5e09b4abc21bf42fd235bf87eea | [
"MIT"
] | 5 | 2020-10-29T01:05:05.000Z | 2020-10-29T01:05:19.000Z | hiicart/gateway/paypal/urls.py | kbourgoin/hiicart | 151d64be60ffa5e09b4abc21bf42fd235bf87eea | [
"MIT"
] | null | null | null | import hiicart.gateway.paypal.views
from django.conf.urls.defaults import *
urlpatterns = patterns('',
(r'ipn/?$', 'hiicart.gateway.paypal.views.ipn'),
)
| 24.625 | 87 | 0.57868 |
93f872bcf2614375df6553e19d36dc105686ea97 | 14,173 | py | Python | pywikibot/comms/eventstreams.py | ankitdobhal/pywikibot | d6328a486296c0e8452b9f5334d5467a2c77ec07 | [
"MIT"
] | null | null | null | pywikibot/comms/eventstreams.py | ankitdobhal/pywikibot | d6328a486296c0e8452b9f5334d5467a2c77ec07 | [
"MIT"
] | 6 | 2021-02-27T03:35:42.000Z | 2021-03-07T22:17:40.000Z | pywikibot/comms/eventstreams.py | ModelTemplate/WarframeWikiBot | 7685057f65d95551ccdb7e958aac3bb58ee8b5b3 | [
"MIT"
] | null | null | null | """
Server-Sent Events client.
This file is part of the Pywikibot framework.
This module requires sseclient to be installed::
pip install sseclient
"""
#
# (C) Pywikibot team, 2017-2020
#
# Distributed under the terms of the MIT license.
#
from distutils.version import LooseVersion
from functools import partial
... | 40.727011 | 79 | 0.595992 |
93f87485069a61245b52f89a7c9f18c843260c2f | 13,451 | py | Python | sdk/python/pulumi_kong/certificate.py | pulumi/pulumi-kong | 775c17e4eac38934252410ed3dcdc6fc3bd40c5c | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2020-02-23T10:05:20.000Z | 2020-05-15T14:22:10.000Z | sdk/python/pulumi_kong/certificate.py | pulumi/pulumi-kong | 775c17e4eac38934252410ed3dcdc6fc3bd40c5c | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2020-04-21T22:04:23.000Z | 2022-03-31T15:29:53.000Z | sdk/python/pulumi_kong/certificate.py | pulumi/pulumi-kong | 775c17e4eac38934252410ed3dcdc6fc3bd40c5c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** 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, overload
from . import ... | 40.884498 | 160 | 0.631254 |
93f87be6130f6e81adc8936bf050744eecaa9a53 | 58,452 | py | Python | salt/loader.py | cbosdo/salt-1 | 9084d662781f9c0944804ba087e652c2ddb730bf | [
"Apache-2.0"
] | null | null | null | salt/loader.py | cbosdo/salt-1 | 9084d662781f9c0944804ba087e652c2ddb730bf | [
"Apache-2.0"
] | null | null | null | salt/loader.py | cbosdo/salt-1 | 9084d662781f9c0944804ba087e652c2ddb730bf | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
The Salt loader is the core to Salt's plugin system, the loader scans
directories for python loadable code and organizes the code into the
plugin interfaces used by Salt.
'''
# Import python libs
from __future__ import absolute_import
import os
import imp
import sys
import salt
import time
... | 34.242531 | 131 | 0.556422 |
93f889bf34ff4b5e57c00a261785cedd907ecddd | 1,590 | py | Python | releasenotes/source/conf.py | kaptnemo/oslo.log | b97137fb8e418b08067b7ad49c176f4bfc45e916 | [
"Apache-2.0"
] | null | null | null | releasenotes/source/conf.py | kaptnemo/oslo.log | b97137fb8e418b08067b7ad49c176f4bfc45e916 | [
"Apache-2.0"
] | null | null | null | releasenotes/source/conf.py | kaptnemo/oslo.log | b97137fb8e418b08067b7ad49c176f4bfc45e916 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# 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... | 31.8 | 75 | 0.67673 |
93f89785b9e8d281d58b4823aff7afd0006c2021 | 3,791 | py | Python | prosper/datareader/robinhood/quotes.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | null | null | null | prosper/datareader/robinhood/quotes.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | 14 | 2017-08-14T02:25:42.000Z | 2018-11-16T19:15:52.000Z | prosper/datareader/robinhood/quotes.py | EVEprosper/ProsperDatareader | 31f0d77074c21222161774f4d653326925611167 | [
"MIT"
] | null | null | null | """datareader.robinhood.quotes: gather price quote data from Robinhood"""
from enum import Enum
from datetime import datetime, timezone
import dateutil.parser
import requests
from .. import config
class Interval(Enum):
"""/quotes/historical helper for `interval` notation"""
minute5 = '5minute'
minute10 ... | 24.616883 | 95 | 0.653917 |
93f8c5617c785a800c2b9fe53d41833e291f00aa | 10,566 | py | Python | qLearn/board.py | bckwalton/othello-rl | 02f277c6849ea07464815988c5b21ac9b621bd90 | [
"MIT"
] | 17 | 2017-02-20T01:44:12.000Z | 2021-01-12T06:57:27.000Z | qLearn/board.py | bckwalton/othello-rl | 02f277c6849ea07464815988c5b21ac9b621bd90 | [
"MIT"
] | null | null | null | qLearn/board.py | bckwalton/othello-rl | 02f277c6849ea07464815988c5b21ac9b621bd90 | [
"MIT"
] | 9 | 2017-07-07T11:38:17.000Z | 2020-10-31T22:45:09.000Z | import numpy as np
from reinforce import Player
from colorama import Fore, Back, Style
from colorama import init
init(autoreset=True)
board = None
def getRow(row):
ret = ""
for i in np.nditer(row):
ret += getItem(i)
return ret
def getItem(item):
if item == 1:
return Fore.WHITE + "|... | 30.626087 | 151 | 0.511925 |
93f9007b66b8e6e57db4b3c63f66e73516c3eff6 | 14,185 | py | Python | axolotl/utils/data_problem.py | tods-doc/axolotl | 6fc87bedb514677db09c039d492d1d3c7864913d | [
"Apache-2.0"
] | null | null | null | axolotl/utils/data_problem.py | tods-doc/axolotl | 6fc87bedb514677db09c039d492d1d3c7864913d | [
"Apache-2.0"
] | null | null | null | axolotl/utils/data_problem.py | tods-doc/axolotl | 6fc87bedb514677db09c039d492d1d3c7864913d | [
"Apache-2.0"
] | null | null | null | import uuid
import os
import pathlib
import numpy
import pandas as pd
from d3m.container import pandas as container_pandas
from d3m.container.dataset import Dataset
from d3m.metadata import base as metadata_base
from d3m.metadata.problem import Problem
from axolotl.utils.schemas import PROBLEM_DEFINITION
def make_un... | 37.927807 | 125 | 0.625943 |
93f906c3ce2fcf45d966cfc5f0ab9f99c963bd9c | 17,592 | py | Python | oscar/lib/python2.7/site-packages/IPython/utils/_tokenize_py2.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/IPython/utils/_tokenize_py2.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/IPython/utils/_tokenize_py2.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | """Patched version of standard library tokenize, to deal with various bugs.
Patches
- Relevant parts of Gareth Rees' patch for Python issue #12691 (untokenizing),
manually applied.
- Newlines in comments and blank lines should be either NL or NEWLINE, depending
on whether they are in a multi-line statement... | 39.981818 | 81 | 0.501478 |
93f908d8592cec4b281c33a8398a34c9addf5a84 | 13,352 | py | Python | apps/core/serializers/article.py | sparcs-kaist/new-ara-api | 63998da575cb148347708199fe1345c4e7ee3e1b | [
"MIT"
] | 19 | 2017-09-13T07:51:58.000Z | 2022-03-28T11:04:03.000Z | apps/core/serializers/article.py | sparcs-kaist/new-ara-api | 63998da575cb148347708199fe1345c4e7ee3e1b | [
"MIT"
] | 147 | 2017-09-14T13:45:30.000Z | 2022-03-14T15:54:09.000Z | apps/core/serializers/article.py | sparcs-kaist/new-ara-api | 63998da575cb148347708199fe1345c4e7ee3e1b | [
"MIT"
] | 5 | 2019-08-31T13:13:30.000Z | 2021-03-26T15:46:38.000Z | import typing
from django.db import models
from django.utils.translation import gettext
from rest_framework import serializers
from apps.core.documents import ArticleDocument
from apps.core.models import Article, ArticleReadLog, Board, Block, Scrap, ArticleHiddenReason
from apps.core.serializers.board import BoardSer... | 35.892473 | 121 | 0.652337 |
93f91353438855c74a500d4d42ab237f8f2f9328 | 2,280 | py | Python | examples/hyperparameters/optuna/td3_pendulum-v0.py | mehulrastogi/genrl | 589a3619497b38eaa376168c78b9f84d4ff434e5 | [
"MIT"
] | 390 | 2020-05-03T17:34:02.000Z | 2022-03-05T11:29:07.000Z | examples/hyperparameters/optuna/td3_pendulum-v0.py | mehulrastogi/genrl | 589a3619497b38eaa376168c78b9f84d4ff434e5 | [
"MIT"
] | 306 | 2020-05-03T05:53:53.000Z | 2022-03-12T00:27:28.000Z | examples/hyperparameters/optuna/td3_pendulum-v0.py | mehulrastogi/genrl | 589a3619497b38eaa376168c78b9f84d4ff434e5 | [
"MIT"
] | 64 | 2020-05-05T20:23:30.000Z | 2022-03-30T08:43:10.000Z | import numpy as np
import optuna
import torch
from genrl.agents.td3.td3 import TD3
from genrl.environments.suite import VectorEnv
from genrl.trainers.offpolicy import OffPolicyTrainer
env = VectorEnv("Pendulum-v0")
def objective(trial):
lr_value = trial.suggest_float("lr_value", 1e-6, 1e-1, log=True)
lr_pol... | 28.5 | 87 | 0.642982 |
93f91643af36623672a5b1ce7062e47ea171401a | 10,420 | py | Python | arcface/resnet.py | DerryHub/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | 4 | 2020-08-15T14:49:37.000Z | 2022-01-16T08:34:07.000Z | arcface/resnet.py | weilin-droid/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | null | null | null | arcface/resnet.py | weilin-droid/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | 2 | 2021-05-26T05:16:09.000Z | 2021-06-09T09:07:49.000Z | import torch
from torch import nn
from collections import namedtuple
from arcface.utils import l2_norm, Flatten, SentVec_TFIDF, IorV
class SEModule(nn.Module):
def __init__(self, channels, reduction):
super(SEModule, self).__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc1 = nn.Co... | 42.704918 | 111 | 0.596449 |
93f91d1e8ce47d37b4030e720d38c97ab3323e88 | 6,026 | py | Python | plugins/robothor_plugin/configs/nav_base.py | prithv1/allenact | ee736e6a3aeed29b3661ee18fa0dc0a68a40201e | [
"MIT"
] | 1 | 2020-09-10T13:09:14.000Z | 2020-09-10T13:09:14.000Z | plugins/robothor_plugin/configs/nav_base.py | andrlima/allenact | f29dd6f0ec62425b02ca07fee815b1a82627a28e | [
"MIT"
] | null | null | null | plugins/robothor_plugin/configs/nav_base.py | andrlima/allenact | f29dd6f0ec62425b02ca07fee815b1a82627a28e | [
"MIT"
] | null | null | null | from typing import Dict, Any, List, Optional
import abc
import torch
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR
from core.base_abstractions.experiment_config import ExperimentConfig
from utils.experiment_utils import Builder, PipelineStage, TrainingPipeline, LinearDecay
from core.algori... | 32.224599 | 88 | 0.579655 |
93f920177d5d0a91ee697e265a84e8db72315d36 | 3,078 | py | Python | HA_Addon/rvc2mqtt/plugin_support.py | ccirrinc/rvc2mqtt | 108328323357e55be6242887b964ca936ea7b3fc | [
"Apache-2.0"
] | 1 | 2022-01-30T18:02:13.000Z | 2022-01-30T18:02:13.000Z | rvc2mqtt/plugin_support.py | ccirrinc/rvc2mqtt | 108328323357e55be6242887b964ca936ea7b3fc | [
"Apache-2.0"
] | null | null | null | rvc2mqtt/plugin_support.py | ccirrinc/rvc2mqtt | 108328323357e55be6242887b964ca936ea7b3fc | [
"Apache-2.0"
] | null | null | null | """
Plugin Management for Entities
Copyright 2022 Sean Brogan
SPDX-License-Identifier: Apache-2.0
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless... | 35.790698 | 100 | 0.674464 |
93f93aebd3041a5867eef106f417b28a0cb26efd | 2,946 | py | Python | api/models/Multitask_CNN.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 74 | 2020-03-08T15:29:00.000Z | 2022-03-05T14:57:33.000Z | api/models/Multitask_CNN.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 19 | 2020-03-06T08:56:51.000Z | 2022-03-27T05:07:35.000Z | api/models/Multitask_CNN.py | wtomin/Multitask-Emotion-Recognition-with-Incomplete-Labels | e6df7ffc9b0318fdce405e40993c79785b47c785 | [
"MIT"
] | 23 | 2020-03-20T08:19:55.000Z | 2022-03-16T17:40:09.000Z | import torch.nn as nn
import sys
sys.path.append("..")
from config import OPT
import torch
from config import MODEL_DIR
from utils import Head,Model, BackBone
from torch.autograd import Variable
import torch.nn.functional as F
import copy
import numpy as np
################################################## Model: ResN... | 42.085714 | 159 | 0.587576 |
93f94b55b1db03f05efed4eb1a33973e0cf5063f | 4,187 | py | Python | tests/scripts/thread-cert/border_router/test_manual_maddress.py | sarah-iot/openthread | 8210a02400c145eb862b65e32040ed0415ba36c2 | [
"BSD-3-Clause"
] | 69 | 2021-12-16T01:34:09.000Z | 2022-03-31T08:27:39.000Z | tests/scripts/thread-cert/border_router/test_manual_maddress.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | tests/scripts/thread-cert/border_router/test_manual_maddress.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 21 | 2021-12-20T09:05:45.000Z | 2022-03-28T02:52:28.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2021, The OpenThread Authors.
# 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
# ... | 35.184874 | 112 | 0.653929 |
93f96235bac4260c9e7a3ed682c7a92d4184a22c | 4,727 | py | Python | tests/common/test_run/ascend/group_conv_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/common/test_run/ascend/group_conv_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/common/test_run/ascend/group_conv_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2019-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 41.831858 | 186 | 0.522107 |
93f9c8720fd892d24bbf422940c45ad29e91b1d7 | 2,144 | py | Python | dataset/corpora.py | s-mizuki-nlp/semantic_specialization | 4d00a461f18828ee8ebaccf7c737a32ccc11809f | [
"Apache-2.0"
] | null | null | null | dataset/corpora.py | s-mizuki-nlp/semantic_specialization | 4d00a461f18828ee8ebaccf7c737a32ccc11809f | [
"Apache-2.0"
] | null | null | null | dataset/corpora.py | s-mizuki-nlp/semantic_specialization | 4d00a461f18828ee8ebaccf7c737a32ccc11809f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import io, os, json
from typing import Union, Collection, Optional, Dict, Any, Iterable, Callable, List
from torch.utils.data import IterableDataset
from dataset_preprocessor import utils
from ._base import AbstractFormatDataset
class NDJSONDataset(AbstractFormatDataset, ... | 33.5 | 89 | 0.639459 |
93f9ca504d49ff873a2dd7fcc2dc0ebfda4d2457 | 4,991 | py | Python | stimuli/motion.py | DrugowitschLab/motion-structure-identification | 908f084b36c7387daf0cbfe75f16bab70cf96db9 | [
"MIT"
] | null | null | null | stimuli/motion.py | DrugowitschLab/motion-structure-identification | 908f084b36c7387daf0cbfe75f16bab70cf96db9 | [
"MIT"
] | null | null | null | stimuli/motion.py | DrugowitschLab/motion-structure-identification | 908f084b36c7387daf0cbfe75f16bab70cf96db9 | [
"MIT"
] | null | null | null | from config import fps, DisplayConfig, ExperimentConfig
from task import Task
from utils.time import Timer
from utils.lock import Lock
from utils.device_input import Devices
from utils.data import SimLogger
import numpy as np
from datetime import datetime
__authors__ = "Johannes Bill & Sichao Yang"
__contact__ = "sich... | 40.577236 | 107 | 0.598277 |
93fa02635e219b66f0c29ccd112b2301ab85875b | 2,040 | py | Python | core/utils.py | DobroAlex/laolab-nmap-test | d4421fea4b1e3de580b9ad6b1c5952675ca8d68f | [
"Unlicense"
] | null | null | null | core/utils.py | DobroAlex/laolab-nmap-test | d4421fea4b1e3de580b9ad6b1c5952675ca8d68f | [
"Unlicense"
] | null | null | null | core/utils.py | DobroAlex/laolab-nmap-test | d4421fea4b1e3de580b9ad6b1c5952675ca8d68f | [
"Unlicense"
] | null | null | null | import platform
import subprocess
from dataclasses import dataclass
from pathlib import Path
from typing import Union, Optional
import core.enums
def get_abs_path(path_: Union[str, Path]) -> Path:
return Path(str(path_)).expanduser().resolve().absolute()
@dataclass
class FinishedProcess:
command: str
w... | 27.2 | 81 | 0.628431 |
93fa54d1ea53dcf77b157e5f6b66aab0e79b256a | 10,329 | py | Python | stage/test_groovy_processors.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | 1 | 2020-04-14T03:01:51.000Z | 2020-04-14T03:01:51.000Z | stage/test_groovy_processors.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | null | null | null | stage/test_groovy_processors.py | streamsets/datacollector-tests-external | 6f255b5e7496deeef333b57a5e9df4911ba3ef00 | [
"Apache-2.0"
] | 1 | 2019-09-14T08:30:23.000Z | 2019-09-14T08:30:23.000Z | # Copyright 2017 StreamSets 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 writi... | 37.69708 | 119 | 0.689709 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.