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9136c1d8878f67aac565d49773621f9f9117bb4b | 3,093 | py | Python | config/plantlist.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | config/plantlist.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | config/plantlist.py | DerekYJC/bmi_python | 7b9cf3f294a33688db24b0863c1035e9cc6999ea | [
"Apache-2.0"
] | null | null | null | '''
List of possible "plants" that a subject could control either during manual or brain control
'''
import numpy as np
from riglib import plants
pi = np.pi
RED = (1,0,0,.5)
## BMI Plants
cursor_14x14 = plants.CursorPlant(endpt_bounds=(-14, 14, 0., 0., -14, 14))
cursor_25x14 = plants.CursorPlant(endpt_bounds=(-25, 25,... | 47.584615 | 171 | 0.76172 |
5b689cce2c2cd13a4cc6e74e797cb2ed1137a3be | 12,779 | py | Python | Ner/bert/keras_bert_ner_bi_lstm.py | liruifeng-01/nlp_xiaojiang | 1bbc0209c58c13861157ce6d395f8995102708cd | [
"MIT"
] | 1,379 | 2019-04-09T08:25:49.000Z | 2022-03-30T07:42:07.000Z | Ner/bert/keras_bert_ner_bi_lstm.py | liruifeng-01/nlp_xiaojiang | 1bbc0209c58c13861157ce6d395f8995102708cd | [
"MIT"
] | 15 | 2019-05-18T08:33:03.000Z | 2022-03-04T11:40:22.000Z | Ner/bert/keras_bert_ner_bi_lstm.py | liruifeng-01/nlp_xiaojiang | 1bbc0209c58c13861157ce6d395f8995102708cd | [
"MIT"
] | 387 | 2019-04-15T11:09:51.000Z | 2022-03-28T06:53:29.000Z | # -*- coding: UTF-8 -*-
# !/usr/bin/python
# @time :2019/5/10 18:05
# @author :Mo
# @function :classify text of bert and bi-lstm
from __future__ import division, absolute_import
import logging as logger
import numpy as np
import pickle
import codecs
# bert embedding
from Ner.bert.keras_bert_layer... | 38.032738 | 160 | 0.634948 |
4864dc2d6078aecb013562e21318304932a5a169 | 894 | py | Python | backend/api/viewsets/FuelClass.py | amichard/tfrs | ed3973016cc5c2ae48999d550a23b41a5ddad807 | [
"Apache-2.0"
] | 18 | 2017-05-10T21:55:11.000Z | 2021-03-01T16:41:32.000Z | backend/api/viewsets/FuelClass.py | amichard/tfrs | ed3973016cc5c2ae48999d550a23b41a5ddad807 | [
"Apache-2.0"
] | 1,167 | 2017-03-04T00:18:43.000Z | 2022-03-03T22:31:51.000Z | backend/api/viewsets/FuelClass.py | amichard/tfrs | ed3973016cc5c2ae48999d550a23b41a5ddad807 | [
"Apache-2.0"
] | 48 | 2017-03-09T17:19:39.000Z | 2022-02-24T16:38:17.000Z | from rest_framework import viewsets, permissions, mixins
from api.models.FuelClass import FuelClass
from api.serializers.FuelClass import FuelClassSerializer
from auditable.views import AuditableMixin
class FuelClassViewSet(
AuditableMixin, mixins.ListModelMixin, viewsets.GenericViewSet):
"""
This vi... | 30.827586 | 72 | 0.732662 |
bd11881ad4aadbdeca21d10dda9d91d97a09f6ff | 7,241 | py | Python | tests/sentry/integrations/github_enterprise/test_integration.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/integrations/github_enterprise/test_integration.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/integrations/github_enterprise/test_integration.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
import responses
import six
from sentry.utils.compat.mock import patch
from six.moves.urllib.parse import parse_qs, urlencode, urlparse
from sentry.integrations.github_enterprise import GitHubEnterpriseIntegrationProvider
from sentry.models import (
Identity,
IdentityPro... | 38.312169 | 99 | 0.604336 |
673075b02e9ea211590118b74adfc64b1cee6b77 | 6,823 | py | Python | zeekofile/util.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | 1 | 2022-02-20T08:02:00.000Z | 2022-02-20T08:02:00.000Z | zeekofile/util.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | 1 | 2021-07-23T19:45:58.000Z | 2021-07-23T19:45:58.000Z | zeekofile/util.py | cdarlint/zeekofile | e5c999f0adfa1837c255b856eb030fb6838b0ea1 | [
"MIT"
] | null | null | null | import re
import os
import sys
from urllib.parse import urlparse
import logging
from .cache import zf
zf.util = sys.modules['zeekofile.util']
logger = logging.getLogger("zeekofile.util")
html_escape_table = {
"&": "&",
'"': """,
"'": "'",
">": ">",
"<": "<",
}
def html_es... | 29.925439 | 79 | 0.57526 |
b46737dfafc3305af41f6ee7aa61157d291d7b6a | 154 | py | Python | python/cell_states.py | carterbancroft/game-of-life | e9dfb0cbd2d6ceb2cb94a91db0de899ff9e45fa4 | [
"Unlicense"
] | null | null | null | python/cell_states.py | carterbancroft/game-of-life | e9dfb0cbd2d6ceb2cb94a91db0de899ff9e45fa4 | [
"Unlicense"
] | null | null | null | python/cell_states.py | carterbancroft/game-of-life | e9dfb0cbd2d6ceb2cb94a91db0de899ff9e45fa4 | [
"Unlicense"
] | null | null | null | # All the possible states for a cell.
alive = 'a'
dead = '.'
# These states are intermediate. They happen during the turn.
dying = 'd'
being_born = 'b'
| 17.111111 | 61 | 0.675325 |
32aa3815ad3c93b1b77c5fe8b51e0e23fc7b55fc | 14,827 | py | Python | IRIS_data_download/IRIS_download_support/obspy/io/ndk/tests/test_ndk.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-03-05T01:03:01.000Z | 2020-12-17T05:04:07.000Z | IRIS_data_download/IRIS_download_support/obspy/io/ndk/tests/test_ndk.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 4 | 2021-03-31T19:25:55.000Z | 2021-12-13T20:32:46.000Z | IRIS_data_download/IRIS_download_support/obspy/io/ndk/tests/test_ndk.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-09-08T19:33:40.000Z | 2021-04-05T09:47:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA @UnusedWildImport
import inspect
import io
import os
import unittest
import warnings
from obspy import UTCDateTime, read_even... | 37.441919 | 78 | 0.590679 |
046c69543ead0846525e0051fd5a6aaf484751a5 | 6,865 | py | Python | ddtrace/contrib/flask/middleware.py | pelotoncycle/dd-trace-py | b5254016dc42185eebfadce8dc634003408439d7 | [
"BSD-3-Clause"
] | null | null | null | ddtrace/contrib/flask/middleware.py | pelotoncycle/dd-trace-py | b5254016dc42185eebfadce8dc634003408439d7 | [
"BSD-3-Clause"
] | null | null | null | ddtrace/contrib/flask/middleware.py | pelotoncycle/dd-trace-py | b5254016dc42185eebfadce8dc634003408439d7 | [
"BSD-3-Clause"
] | 2 | 2017-05-27T05:58:36.000Z | 2019-02-07T13:38:53.000Z | """
Datadog trace code for flask.
Requires a modern version of flask and the `blinker` library (which is a
dependency of flask signals).
"""
# stdlib
import logging
# project
from ... import compat
from ...ext import http, errors, AppTypes
# 3p
import flask.templating
from flask import g, request, signals
log = l... | 33.487805 | 81 | 0.612236 |
02264b16dd6493df6d3b41cb876a02b408c47890 | 1,732 | py | Python | obonet/io.py | dpavot/obonet | d7307d7151e21553cd8df3d7d07d26571e9c3fbe | [
"CC0-1.0"
] | null | null | null | obonet/io.py | dpavot/obonet | d7307d7151e21553cd8df3d7d07d26571e9c3fbe | [
"CC0-1.0"
] | null | null | null | obonet/io.py | dpavot/obonet | d7307d7151e21553cd8df3d7d07d26571e9c3fbe | [
"CC0-1.0"
] | 1 | 2019-07-10T09:48:00.000Z | 2019-07-10T09:48:00.000Z | import importlib
import io
import mimetypes
import pathlib
import re
from urllib.request import urlopen
def open_read_file(path):
"""
Return a file object from the path. Automatically detects and supports
URLs and compression. If path is pathlike, it's converted to a string.
If path is not a string no... | 27.492063 | 76 | 0.645497 |
624d75f1b76a1ce67206667613695e728a808ed6 | 11,984 | py | Python | tests/tests_data/data_for_functional_bot_test.py | Kvm99/Pressure-Bot- | 4dc5c850f12265dd89150891c2e383c9c32d421f | [
"BSD-3-Clause"
] | null | null | null | tests/tests_data/data_for_functional_bot_test.py | Kvm99/Pressure-Bot- | 4dc5c850f12265dd89150891c2e383c9c32d421f | [
"BSD-3-Clause"
] | 208 | 2019-12-06T12:48:58.000Z | 2022-03-28T21:10:35.000Z | tests/tests_data/data_for_functional_bot_test.py | Kvm99/Telegram-Pressurebot | 4dc5c850f12265dd89150891c2e383c9c32d421f | [
"BSD-3-Clause"
] | null | null | null | import datetime
import psycopg2
pressure_list = [
(108, 'Mary2z', '130', '80',
datetime.datetime(
2019, 4, 20, 12, 26, 45, 826178,
tzinfo=psycopg2.tz.FixedOffsetTimezone(
offset=180, name=None
)
),
'Left', '80'),
(109, 'Mary2z... | 32.476965 | 59 | 0.385097 |
df453d8525173482602fc77f8ddacce22abb6124 | 27,438 | py | Python | random_output_trees/ensemble/forest.py | arjoly/random-output-trees | 4251a3ab99cf7b893b7dcb47b62be94ed74c1ab9 | [
"Unlicense"
] | 22 | 2015-01-13T23:01:35.000Z | 2021-03-01T07:34:56.000Z | random_output_trees/ensemble/forest.py | arjoly/random-output-trees | 4251a3ab99cf7b893b7dcb47b62be94ed74c1ab9 | [
"Unlicense"
] | null | null | null | random_output_trees/ensemble/forest.py | arjoly/random-output-trees | 4251a3ab99cf7b893b7dcb47b62be94ed74c1ab9 | [
"Unlicense"
] | 4 | 2015-01-26T05:22:44.000Z | 2019-12-02T15:16:17.000Z | # Authors: Arnaud Joly <arnaud.v.joly@gmail.com>
#
# License: BSD 3 clause
# This file is adapted from scikit-learn to handle randomized output space
from ._sklearn_forest import ForestClassifier
from ._sklearn_forest import ForestRegressor
from ..tree import DecisionTreeClassifier
from ..tree import DecisionTreeRe... | 41.198198 | 79 | 0.655842 |
d45c25349a0756dd204b8ddca456faf47ef0fd28 | 5,930 | py | Python | resources/lib/services/playback/progress_manager.py | aapks/plugin.video.netflix-1 | f74bfff29cb76da04ce40cbe5597deac5911d82e | [
"MIT"
] | null | null | null | resources/lib/services/playback/progress_manager.py | aapks/plugin.video.netflix-1 | f74bfff29cb76da04ce40cbe5597deac5911d82e | [
"MIT"
] | null | null | null | resources/lib/services/playback/progress_manager.py | aapks/plugin.video.netflix-1 | f74bfff29cb76da04ce40cbe5597deac5911d82e | [
"MIT"
] | 1 | 2020-04-04T08:00:04.000Z | 2020-04-04T08:00:04.000Z | # -*- coding: utf-8 -*-
"""
Copyright (C) 2017 Sebastian Golasch (plugin.video.netflix)
Copyright (C) 2019 Stefano Gottardo - @CastagnaIT (original implementation module)
Manages events to send to the netflix service for the progress of the played video
SPDX-License-Identifier: MIT
See LICENSES/MIT... | 47.822581 | 120 | 0.685329 |
de7229e3e67f343719f30c802589f49ec82371d0 | 30,608 | py | Python | main_original.py | alffore/translatedemo | fd18d0d8268203fd6f97ca3270c02bd5dbee47cc | [
"Apache-2.0"
] | null | null | null | main_original.py | alffore/translatedemo | fd18d0d8268203fd6f97ca3270c02bd5dbee47cc | [
"Apache-2.0"
] | null | null | null | main_original.py | alffore/translatedemo | fd18d0d8268203fd6f97ca3270c02bd5dbee47cc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
NLP From Scratch: Translation with a Sequence to Sequence Network and Attention
*******************************************************************************
**Author**: `Sean Robertson <https://github.com/spro/practical-pytorch>`_
This is the third and final tutorial on doing "NLP From S... | 35.06071 | 117 | 0.652117 |
6f6da488de2bf1bba00d143de962df433947805d | 1,258 | py | Python | var/spack/repos/builtin/packages/xqilla/package.py | whitfin/spack | aabd2be31a511d0e00c1017f7311a421659319d9 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 3 | 2019-06-27T13:26:50.000Z | 2019-07-01T16:24:54.000Z | var/spack/repos/builtin/packages/xqilla/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 75 | 2016-07-27T11:43:00.000Z | 2020-12-08T15:56:53.000Z | var/spack/repos/builtin/packages/xqilla/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 8 | 2015-10-16T13:51:49.000Z | 2021-10-18T13:58:03.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Xqilla(AutotoolsPackage):
"""XQilla is an XQuery and XPath 2 library and command line util... | 33.105263 | 85 | 0.620827 |
b73adee38188ce53b867e6464f2e6194d6d7a3b8 | 5,940 | py | Python | source/operators/mediaconvert/start_media_convert.py | InfrastructureHQ/MediaIQ | 1c50c5a796a34895951acf74bf88836d39406da6 | [
"Apache-2.0"
] | null | null | null | source/operators/mediaconvert/start_media_convert.py | InfrastructureHQ/MediaIQ | 1c50c5a796a34895951acf74bf88836d39406da6 | [
"Apache-2.0"
] | null | null | null | source/operators/mediaconvert/start_media_convert.py | InfrastructureHQ/MediaIQ | 1c50c5a796a34895951acf74bf88836d39406da6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import os
import boto3
import json
from botocore import config
from aws_xray_sdk.core import xray_recorder
from aws_xray_sdk.core import patch_all
from MediaInsightsEngineLambdaHelper import MediaInsightsOp... | 40.965517 | 123 | 0.574579 |
648cee5c2c96219ef68cfd37a9a0c6b75f5cf347 | 1,812 | py | Python | src/python/zensols/db/dataclass.py | plandes/dbutil | 5ed1c99dcf9ced105d502d3c58d52e8d2726834d | [
"MIT"
] | null | null | null | src/python/zensols/db/dataclass.py | plandes/dbutil | 5ed1c99dcf9ced105d502d3c58d52e8d2726834d | [
"MIT"
] | null | null | null | src/python/zensols/db/dataclass.py | plandes/dbutil | 5ed1c99dcf9ced105d502d3c58d52e8d2726834d | [
"MIT"
] | null | null | null | """Contains utility classes to persist :class:`dataclasses.dataclass`.
"""
__author__ = 'Paul Landes'
from typing import Type, List
from dataclasses import dataclass, field
import dataclasses
import logging
from string import Template
from pathlib import Path
from . import DynamicDataParser, BeanDbPersister
logger =... | 31.789474 | 76 | 0.698124 |
477ebbc7b73815bcd0a24291f33fb44f4494cf34 | 240 | py | Python | jupyterlabpymolpysnips/SaveFlleWithTimestamp/sccp4.py | MooersLab/pymolpysnips | 50a89c85adf8006d85c1d6cd3f8aad7e440a0b92 | [
"MIT"
] | null | null | null | jupyterlabpymolpysnips/SaveFlleWithTimestamp/sccp4.py | MooersLab/pymolpysnips | 50a89c85adf8006d85c1d6cd3f8aad7e440a0b92 | [
"MIT"
] | null | null | null | jupyterlabpymolpysnips/SaveFlleWithTimestamp/sccp4.py | MooersLab/pymolpysnips | 50a89c85adf8006d85c1d6cd3f8aad7e440a0b92 | [
"MIT"
] | null | null | null | cmd.do('python;')
cmd.do('import datetime;')
cmd.do('from pymol import cmd; ')
cmd.do('DT =datetime.datetime.now().strftime("yr%Ymo%mday%dhr%Hmin%M");')
cmd.do('s = str(DT); ')
cmd.do('cmd.save(stemName+s+".ccp4"); ')
cmd.do('end python;')
| 30 | 73 | 0.641667 |
00fd4c15423d7903a81a6858571b1d9bfc7611c9 | 1,721 | py | Python | lite/tests/unittest_py/op/backends/host/test_one_hot_v2_op.py | xiebaiyuan/PaddleLite | 6f7280a91741d1c63fcb0296ac5c08c4e81c2a90 | [
"Apache-2.0"
] | null | null | null | lite/tests/unittest_py/op/backends/host/test_one_hot_v2_op.py | xiebaiyuan/PaddleLite | 6f7280a91741d1c63fcb0296ac5c08c4e81c2a90 | [
"Apache-2.0"
] | null | null | null | lite/tests/unittest_py/op/backends/host/test_one_hot_v2_op.py | xiebaiyuan/PaddleLite | 6f7280a91741d1c63fcb0296ac5c08c4e81c2a90 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 35.854167 | 125 | 0.743754 |
88b5598977f019ba5f3c0a80a39ce1a2a1559ad3 | 375 | py | Python | apps/qcat/tests/test_views.py | SCiO-systems/qcat | 8c2b8e07650bc2049420fa6de758fba7e50c2f28 | [
"Apache-2.0"
] | null | null | null | apps/qcat/tests/test_views.py | SCiO-systems/qcat | 8c2b8e07650bc2049420fa6de758fba7e50c2f28 | [
"Apache-2.0"
] | null | null | null | apps/qcat/tests/test_views.py | SCiO-systems/qcat | 8c2b8e07650bc2049420fa6de758fba7e50c2f28 | [
"Apache-2.0"
] | null | null | null | from apps.qcat.tests import TestCase
# class HomePageTest(TestCase):
#
# def test_home_page_renders_correct_template(self):
# res = self.client.get('/')
# # Expect redirect to /en/, which at the moment returns a redirect as
# # well.
# self.assertRedirects(
# res, 'http... | 28.846154 | 78 | 0.621333 |
1ebd66f4c9122fc99b63e2a1dbf1c9b285fd06dd | 1,635 | py | Python | parser.py | jkhoel/py-json-to-csv | 24ef2b6a8ba73c04553a01103b6ce0abc4f34051 | [
"MIT"
] | null | null | null | parser.py | jkhoel/py-json-to-csv | 24ef2b6a8ba73c04553a01103b6ce0abc4f34051 | [
"MIT"
] | null | null | null | parser.py | jkhoel/py-json-to-csv | 24ef2b6a8ba73c04553a01103b6ce0abc4f34051 | [
"MIT"
] | null | null | null | import csv
import os
import json
# GLOBAL CONSTANTS
DATA_DIR = './json/'
OUTPUT_FILENAME = 'output.csv'
DELIMITER = ';'
# Define the header of each column
TABLE_HEADERS = ['File Name', 'Color', 'Description']
# List of key-names for the key-value pairs to pull from each file to populate the rows. Note that these hav... | 32.7 | 153 | 0.706422 |
ac4fc4031d3ab98626b91c58c220de7b97e834ba | 17,624 | py | Python | util/misc.py | sYANGunique1111/transtrack_origin | 7a462173224fabe4d82ec9dc4327cd2b0c2b8987 | [
"MIT"
] | null | null | null | util/misc.py | sYANGunique1111/transtrack_origin | 7a462173224fabe4d82ec9dc4327cd2b0c2b8987 | [
"MIT"
] | null | null | null | util/misc.py | sYANGunique1111/transtrack_origin | 7a462173224fabe4d82ec9dc4327cd2b0c2b8987 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import os
import subprocess
import time
from collections import defaultdict, deque
import datetime
import pickle
from typing import Op... | 34.624754 | 114 | 0.588856 |
42185a38af5b501f92ea702f2680c2f9b6f62bb7 | 24,645 | py | Python | azkaban_cli/azkaban.py | jcsekar/azkaban-cli | c9a537bbc9d47df31f0888bdc725975681e04c26 | [
"MIT"
] | null | null | null | azkaban_cli/azkaban.py | jcsekar/azkaban-cli | c9a537bbc9d47df31f0888bdc725975681e04c26 | [
"MIT"
] | null | null | null | azkaban_cli/azkaban.py | jcsekar/azkaban-cli | c9a537bbc9d47df31f0888bdc725975681e04c26 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from azkaban_cli.exceptions import (
NotLoggedOnError,
SessionError,
LoginError,
UploadError,
ScheduleError,
FetchFlowsError,
FetchJobsFromFlowError,
FetchScheduleError,
FetchSLAError,
UnscheduleError,
ExecuteErr... | 34.324513 | 180 | 0.655589 |
240dc2c5a423dcfe31c2852f9999e1ba7fcf2e37 | 800 | py | Python | agent/tests/__init__.py | aeolusproject/audrey | 2933aae3a4023074b44880f7b878f576fa9d8b60 | [
"Apache-2.0"
] | 1 | 2018-01-26T05:26:10.000Z | 2018-01-26T05:26:10.000Z | agent/tests/__init__.py | aeolusproject/audrey | 2933aae3a4023074b44880f7b878f576fa9d8b60 | [
"Apache-2.0"
] | null | null | null | agent/tests/__init__.py | aeolusproject/audrey | 2933aae3a4023074b44880f7b878f576fa9d8b60 | [
"Apache-2.0"
] | 2 | 2015-10-19T08:41:29.000Z | 2018-08-21T21:25:06.000Z | '''
*
* Copyright [2011] [Red Hat, 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 ag... | 27.586207 | 76 | 0.7025 |
78d121da0794cc4457d006ab0d18ed9aeb4f52c2 | 7,071 | py | Python | alsa/nets/resnet.py | QasimWani/alls | 13c44ea8f0f4ee7b5bae419813713742a03a5742 | [
"Unlicense",
"MIT"
] | 2 | 2021-08-10T20:20:38.000Z | 2021-09-01T14:40:19.000Z | alsa/nets/resnet.py | QasimWani/alls | 13c44ea8f0f4ee7b5bae419813713742a03a5742 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-03T09:53:05.000Z | 2021-08-20T00:36:23.000Z | alsa/nets/resnet.py | QasimWani/alls | 13c44ea8f0f4ee7b5bae419813713742a03a5742 | [
"Unlicense",
"MIT"
] | 2 | 2021-12-14T02:16:27.000Z | 2022-01-25T23:08:49.000Z | """resnet in pytorch
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun.
Deep Residual Learning for Image Recognition
https://arxiv.org/abs/1512.03385v1
"""
import torch.nn as nn
class BasicBlock(nn.Module):
"""Basic Block for resnet 18 and resnet 34
"""
# BasicBlock and BottleNeck block
... | 34.661765 | 78 | 0.577146 |
fdbf3fe1dccb0ea66a7a76de8ce9c1d58c0bed1d | 1,943 | py | Python | fattie/belly/indents.py | EdgardoAcosta/Fattie | ff877cda0cd5351ba9ea6ecbac5aab34a149bbf2 | [
"MIT"
] | null | null | null | fattie/belly/indents.py | EdgardoAcosta/Fattie | ff877cda0cd5351ba9ea6ecbac5aab34a149bbf2 | [
"MIT"
] | 1 | 2018-11-13T05:31:48.000Z | 2018-11-26T16:39:29.000Z | fattie/belly/indents.py | EdgardoAcosta/Fattie | ff877cda0cd5351ba9ea6ecbac5aab34a149bbf2 | [
"MIT"
] | null | null | null | import sys
from collections import namedtuple
IndentToken = namedtuple('IndentToken', 'type value lexer lineno lexpos')
class Indents(object):
def __init__(self, lexer):
self.lexer = lexer
self.indent_stack = [0]
self.token_queue = []
self.eof = False
@property
def input(... | 27.757143 | 96 | 0.560988 |
3fd3e19d45384ad9599b0eb5da2861f8525ff4f4 | 1,031 | py | Python | djangocms_internalsearch/apps.py | FidelityInternational/djangocms-internalsearch | 8483fccd7cc6eeb24413babae0b2eb84ab187bc6 | [
"BSD-3-Clause"
] | null | null | null | djangocms_internalsearch/apps.py | FidelityInternational/djangocms-internalsearch | 8483fccd7cc6eeb24413babae0b2eb84ab187bc6 | [
"BSD-3-Clause"
] | null | null | null | djangocms_internalsearch/apps.py | FidelityInternational/djangocms-internalsearch | 8483fccd7cc6eeb24413babae0b2eb84ab187bc6 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
from .helpers import (
content_object_delete_receiver,
content_object_state_change_receiver,
remove_from_index,
save_to_index,
)
class InternalsearchConfig(AppConfig):
... | 31.242424 | 81 | 0.753637 |
c8710f25c0827f9f64f4a9b39c314d7fbc524953 | 3,634 | py | Python | networks/capsulenet/helper_function.py | carlospolop-forks/one-pixel-attack-keras | f1a8ecef33d30bd7ba2d30490348c9997be6d316 | [
"MIT"
] | null | null | null | networks/capsulenet/helper_function.py | carlospolop-forks/one-pixel-attack-keras | f1a8ecef33d30bd7ba2d30490348c9997be6d316 | [
"MIT"
] | null | null | null | networks/capsulenet/helper_function.py | carlospolop-forks/one-pixel-attack-keras | f1a8ecef33d30bd7ba2d30490348c9997be6d316 | [
"MIT"
] | null | null | null | import os, math, csv
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.utils import to_categorical
from pandas import read_csv
def load_cifar_10():
from keras.datasets import cifar10
num_classes = 10
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
x_train = x_train.ast... | 36.34 | 94 | 0.667034 |
1c3fe4ea951aef122728a7aed7fc4ecaf8e7607e | 4,082 | py | Python | tests/compare_results.py | an1018/PaddleOCR | 0a8ca67a0c4a4ed468e82a575cc64ce73f21e068 | [
"Apache-2.0"
] | 1 | 2022-01-21T07:48:15.000Z | 2022-01-21T07:48:15.000Z | tests/compare_results.py | an1018/PaddleOCR | 0a8ca67a0c4a4ed468e82a575cc64ce73f21e068 | [
"Apache-2.0"
] | null | null | null | tests/compare_results.py | an1018/PaddleOCR | 0a8ca67a0c4a4ed468e82a575cc64ce73f21e068 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import os
import subprocess
import json
import argparse
import glob
def init_args():
parser = argparse.ArgumentParser()
# params for testing assert allclose
parser.add_argument("--atol", type=float, default=1e-3)
parser.add_argument("--rtol", type=float, default=1e-3)
parser.add... | 30.462687 | 111 | 0.628613 |
e2ffc81d52b0f5b3e4ba34c68d3ca20608477787 | 966 | py | Python | examples/block_bots.py | lukasz00500/instabot | 542a35d5ef510183999e5aa825d2f1a0b113a0f1 | [
"Apache-2.0"
] | 4 | 2019-08-17T01:20:52.000Z | 2020-01-08T11:59:43.000Z | examples/block_bots.py | lukasz00500/instabot | 542a35d5ef510183999e5aa825d2f1a0b113a0f1 | [
"Apache-2.0"
] | 4 | 2019-02-25T08:48:07.000Z | 2019-03-07T17:06:15.000Z | examples/block_bots.py | lukasz00500/instabot | 542a35d5ef510183999e5aa825d2f1a0b113a0f1 | [
"Apache-2.0"
] | 5 | 2019-04-10T04:53:14.000Z | 2020-05-17T09:10:06.000Z | """
instabot example
Workflow:
Block bots. That makes them unfollow you -> You have clear account.
"""
import argparse
import os
import sys
sys.path.append(os.path.join(sys.path[0], '../'))
from instabot import Bot
parser = argparse.ArgumentParser(add_help=True)
parser.add_argument('-u', type=str, h... | 28.411765 | 82 | 0.638716 |
491903578a1ef50a75c51cd048d48cf7fd92b366 | 1,005 | py | Python | userbot/__main__.py | Randi356/up | a8d7548e8dd687a25150f0187932ca626e76d668 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/__main__.py | Randi356/up | a8d7548e8dd687a25150f0187932ca626e76d668 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 44 | 2021-11-02T22:24:23.000Z | 2022-03-28T22:27:09.000Z | userbot/__main__.py | Randi356/up | a8d7548e8dd687a25150f0187932ca626e76d668 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 3 | 2021-11-05T18:23:31.000Z | 2021-12-17T06:30:58.000Z | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.c (the "License");
# you may not use this file except in compliance with the License.
#
""" Userbot start point """
from importlib import import_module
from sys import argv
from telethon.errors.rpcerrorlis... | 27.162162 | 78 | 0.724378 |
f6016b6641a857bcbe56a2833bb1e405264fde9f | 5,680 | py | Python | example/image-classification/symbols/peleenet.py | sanallen/incubator-mxnet | 56f6e77ae505d742c004fd875a0d9612dd9a7434 | [
"Apache-2.0"
] | null | null | null | example/image-classification/symbols/peleenet.py | sanallen/incubator-mxnet | 56f6e77ae505d742c004fd875a0d9612dd9a7434 | [
"Apache-2.0"
] | null | null | null | example/image-classification/symbols/peleenet.py | sanallen/incubator-mxnet | 56f6e77ae505d742c004fd875a0d9612dd9a7434 | [
"Apache-2.0"
] | null | null | null | import mxnet as mx
import numpy as np
def Conv(data, num_filter = 1, kernel=(1, 1), stride = (1, 1), pad = (0, 0),
no_bias = True, layout = 'NCHW', name_conv = 'conv', axis = 1, eps = 0.001, momentum = 0.0, fix_gamma = False,
use_global_stats = False, act_type = 'relu'):
conv = mx.sym.Convolution(data =... | 44.375 | 142 | 0.640669 |
3dc6aadd0b7a2f0ce6914768e70f511615cc8346 | 4,782 | py | Python | venv/Lib/site-packages/celery/tests/backends/test_couchbase.py | Verckolf/MyInterfaceTest | e05674bd673a6a43cfb33f7cb4318886ba92a05c | [
"MIT"
] | 39 | 2016-12-05T14:36:37.000Z | 2021-07-29T18:22:34.000Z | microblog/flask/venv/lib/python2.7/site-packages/celery/tests/backends/test_couchbase.py | johankaito/fufuka | 32a96ecf98ce305c2206c38443e58fdec88c788d | [
"Apache-2.0"
] | 68 | 2016-12-12T20:38:47.000Z | 2020-07-26T18:28:49.000Z | microblog/flask/venv/lib/python2.7/site-packages/celery/tests/backends/test_couchbase.py | johankaito/fufuka | 32a96ecf98ce305c2206c38443e58fdec88c788d | [
"Apache-2.0"
] | 120 | 2016-08-18T14:53:03.000Z | 2020-06-16T13:27:20.000Z | from __future__ import absolute_import
from celery.backends import couchbase as module
from celery.backends.couchbase import CouchBaseBackend
from celery.exceptions import ImproperlyConfigured
from celery import backends
from celery.tests.case import (
AppCase, MagicMock, Mock, SkipTest, patch, sentinel,
)
try:
... | 34.905109 | 73 | 0.656211 |
f4f0ca9bb3dde4be2d1dd23906e4e811f902a94b | 1,807 | py | Python | compression/toy_example/toy_model.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | 12 | 2021-11-02T00:38:47.000Z | 2022-03-15T12:57:03.000Z | compression/toy_example/toy_model.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | null | null | null | compression/toy_example/toy_model.py | yoshitomo-matsubara/supervised-compression | 6df52222c6407e8fac7d34d5e25b218910f686cf | [
"Apache-2.0"
] | 1 | 2022-02-22T06:53:35.000Z | 2022-02-22T06:53:35.000Z | import torch
import torch.nn as nn
import torch.optim as optim
from compressai.models import CompressionModel, MeanScaleHyperprior
from compressai.entropy_models import EntropyBottleneck
from compressai.layers import GDN1 as GDN
class ImgModel(CompressionModel):
"""Simple autoencoder with a factorized prior """
... | 34.09434 | 96 | 0.574986 |
3a1f24a38659df20b13f3e13cc5015037dc7ac74 | 473 | py | Python | packages/api-server/api_server/models/ros_pydantic/rmf_fleet_msgs/FleetState.py | Sald-for-Communication-and-IT/rmf-web | ec5996ab0b06440d7147170f3030b14c73d26116 | [
"Apache-2.0"
] | 23 | 2021-04-13T23:01:12.000Z | 2022-03-21T02:15:24.000Z | packages/api-server/api_server/models/ros_pydantic/rmf_fleet_msgs/FleetState.py | Sald-for-Communication-and-IT/rmf-web | ec5996ab0b06440d7147170f3030b14c73d26116 | [
"Apache-2.0"
] | 326 | 2021-03-10T17:32:17.000Z | 2022-03-30T04:42:14.000Z | packages/api-server/api_server/models/ros_pydantic/rmf_fleet_msgs/FleetState.py | Sald-for-Communication-and-IT/rmf-web | ec5996ab0b06440d7147170f3030b14c73d26116 | [
"Apache-2.0"
] | 13 | 2021-04-10T10:33:36.000Z | 2022-02-22T15:39:58.000Z | # This is a generated file, do not edit
from typing import List
import pydantic
from ..rmf_fleet_msgs.RobotState import RobotState
class FleetState(pydantic.BaseModel):
name: str = "" # string
robots: List[RobotState] = [] # rmf_fleet_msgs/RobotState
class Config:
orm_mode = True
sch... | 18.192308 | 62 | 0.581395 |
850617b6b80ca0c35ba0837ea218d94b16765fc0 | 2,452 | py | Python | tests/test_timestamp.py | willingc/devicely | 2b0cef8cd5ab45e9a7eaa70ff13ff1ef3397ca60 | [
"MIT"
] | 13 | 2020-07-13T22:26:25.000Z | 2022-03-18T17:40:56.000Z | tests/test_timestamp.py | willingc/devicely | 2b0cef8cd5ab45e9a7eaa70ff13ff1ef3397ca60 | [
"MIT"
] | 26 | 2020-11-29T11:11:09.000Z | 2022-01-12T11:34:19.000Z | tests/test_timestamp.py | willingc/devicely | 2b0cef8cd5ab45e9a7eaa70ff13ff1ef3397ca60 | [
"MIT"
] | 5 | 2021-07-26T11:01:38.000Z | 2022-02-22T18:23:57.000Z | """
Tests for the TimeStamp module
"""
import os
import unittest
import pandas as pd
import devicely
class TimeStampTestCase(unittest.TestCase):
READ_PATH = os.path.join(os.getcwd(), 'tests/Timestamp_test_data/tags.csv')
WRITE_PATH = os.path.join(os.getcwd(), 'tests/Timestamp_test_data/tags_written.csv')
... | 40.866667 | 111 | 0.581974 |
18cc461af99c506e17f9b635e4f2fc65498b924c | 2,940 | py | Python | Homework 1.py | sashaolin/levelup | b127c4aa62f6a375f9e73f57963d4706eb8dfa5f | [
"Apache-2.0"
] | null | null | null | Homework 1.py | sashaolin/levelup | b127c4aa62f6a375f9e73f57963d4706eb8dfa5f | [
"Apache-2.0"
] | null | null | null | Homework 1.py | sashaolin/levelup | b127c4aa62f6a375f9e73f57963d4706eb8dfa5f | [
"Apache-2.0"
] | null | null | null | # 1. Напишите программу, которая просит пользователя что-нибудь ввести с клавиатуры.
# Если он вводит какие-нибудь данные, то на экране должно выводиться сообщение "ОК".
# Если он не вводит данные, а просто нажимает Enter, то программа ничего не выводит на экран.
str_1 = input('Введите символ:')
list_1 = list(str_1)
i... | 30 | 105 | 0.685714 |
421124da19c7c01e22dda2cd6b9bfc6e263b4c2e | 4,648 | py | Python | examples/loader.py | GuanzhouSong/GoogLeNet-Inception | 8dbd87975ebe7b14fd922f396edea339b0311953 | [
"MIT"
] | 209 | 2019-01-11T03:07:55.000Z | 2022-03-22T12:31:00.000Z | examples/loader.py | GuanzhouSong/GoogLeNet-Inception | 8dbd87975ebe7b14fd922f396edea339b0311953 | [
"MIT"
] | 8 | 2019-01-17T17:54:57.000Z | 2021-03-09T08:01:03.000Z | examples/loader.py | GuanzhouSong/GoogLeNet-Inception | 8dbd87975ebe7b14fd922f396edea339b0311953 | [
"MIT"
] | 88 | 2019-01-26T11:55:23.000Z | 2022-03-13T17:12:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: loader.py
# Author: Qian Ge <geqian1001@gmail.com>
import sys
import numpy as np
import tensorflow as tf
import skimage.transform
sys.path.append('../')
from src.dataflow.images import Image
from src.dataflow.cifar import CIFAR
def load_label_dict(dataset='image... | 31.194631 | 95 | 0.601549 |
00acd1a8f502d0282905adda58ef695666cd4854 | 1,075 | py | Python | blogs/inference/flights/compose_shards.py | laurenzberger/training-data-analyst | 3e2ef4668c5088ab50ad50a4f29673c88fb1bcd3 | [
"Apache-2.0"
] | 6,140 | 2016-05-23T16:09:35.000Z | 2022-03-30T19:00:46.000Z | blogs/inference/flights/compose_shards.py | laurenzberger/training-data-analyst | 3e2ef4668c5088ab50ad50a4f29673c88fb1bcd3 | [
"Apache-2.0"
] | 1,384 | 2016-07-08T22:26:41.000Z | 2022-03-24T16:39:43.000Z | blogs/inference/flights/compose_shards.py | laurenzberger/training-data-analyst | 3e2ef4668c5088ab50ad50a4f29673c88fb1bcd3 | [
"Apache-2.0"
] | 5,110 | 2016-05-27T13:45:18.000Z | 2022-03-31T18:40:42.000Z | import google.cloud.storage.client as gcs
import logging
def compose_shards(data, context):
print(data)
num_shards = 10
prefix = 'flights/json/sharded/output'
outfile = 'flights/json/flights.json'
# trigger on the last file only
filename = data['name']
last_shard = '-%05d-of-%05d' % (num_shards - 1, nu... | 31.617647 | 65 | 0.660465 |
a895f88e844035277f4df78626467871e3e0b5ca | 2,835 | py | Python | .history/Missions_to_Mars/scrape_mars_20200808212423.py | ermiasgelaye/web-scraping-challenge | f99c3436dfb0169595c46dae7733d90e21385cc6 | [
"ADSL"
] | null | null | null | .history/Missions_to_Mars/scrape_mars_20200808212423.py | ermiasgelaye/web-scraping-challenge | f99c3436dfb0169595c46dae7733d90e21385cc6 | [
"ADSL"
] | null | null | null | .history/Missions_to_Mars/scrape_mars_20200808212423.py | ermiasgelaye/web-scraping-challenge | f99c3436dfb0169595c46dae7733d90e21385cc6 | [
"ADSL"
] | 2 | 2020-11-02T08:12:16.000Z | 2021-05-17T21:45:42.000Z | # Dependencies
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup as bs
import requests
from splinter import Browser
# Initialize browser
def init_browser():
executable_path = {"executable_path": "/usr/local/bin/chromedriver"}
#executable_path = {'executable_path': 'chromedriver.exe'}
r... | 31.5 | 96 | 0.640917 |
2f59a0daf70484f605e4dc2fb5de8b7af4c85151 | 1,121 | py | Python | python_web/models/schemas.py | LouisYZK/Frodo | a51156772604457cea06c4e65282675c49e853c8 | [
"Apache-2.0"
] | 123 | 2020-05-28T08:15:03.000Z | 2022-03-24T09:07:52.000Z | python_web/models/schemas.py | LouisYZK/Frodo | a51156772604457cea06c4e65282675c49e853c8 | [
"Apache-2.0"
] | 6 | 2020-11-19T08:58:53.000Z | 2022-02-27T23:51:21.000Z | python_web/models/schemas.py | LouisYZK/Frodo | a51156772604457cea06c4e65282675c49e853c8 | [
"Apache-2.0"
] | 32 | 2020-06-04T10:49:32.000Z | 2022-03-23T13:33:56.000Z | from typing import List, Any
from pydantic import BaseModel
class UserBase(BaseModel):
name: str
class UserAuth(UserBase):
password: str
class UserLogin(BaseModel):
username: str
password: str
class UserCreate(UserAuth):
email: str = None
avatar: str = None
class UserDelete(BaseModel):
... | 16.014286 | 32 | 0.627119 |
632b32046e9a1be3f4916bfc1d30af9ce86524ce | 2,887 | py | Python | Resources/SystemOutputs/Analyse-all/system_stats.py | evanmiltenburg/AnalysePeopleDescriptions | bdb586e56716d54662edd0316e722d2c7fec706b | [
"Apache-2.0"
] | 2 | 2020-10-09T10:31:07.000Z | 2021-01-20T12:40:21.000Z | Resources/SystemOutputs/Analyse-all/system_stats.py | evanmiltenburg/AnalysePeopleDescriptions | bdb586e56716d54662edd0316e722d2c7fec706b | [
"Apache-2.0"
] | null | null | null | Resources/SystemOutputs/Analyse-all/system_stats.py | evanmiltenburg/AnalysePeopleDescriptions | bdb586e56716d54662edd0316e722d2c7fec706b | [
"Apache-2.0"
] | null | null | null | import json
import re
from collections import Counter
from tabulate import tabulate
def load_json(filename):
"Load a JSON file."
with open(filename) as f:
return json.load(f)
def dump_json(data, filename):
"Write a JSON file."
with open(filename, 'w') as f:
json.dump(data, f, indent=2... | 34.783133 | 131 | 0.656044 |
46bbba3f55e6ccc3fbab909c0161b9cacfbe8e2e | 505 | py | Python | Pythonexer/ExerPython/aprendendopython/ex099.py | felipemcm3/ExerPython | d66c891eb82c0f7fd9c15203fe85a06e96d916b5 | [
"MIT"
] | null | null | null | Pythonexer/ExerPython/aprendendopython/ex099.py | felipemcm3/ExerPython | d66c891eb82c0f7fd9c15203fe85a06e96d916b5 | [
"MIT"
] | null | null | null | Pythonexer/ExerPython/aprendendopython/ex099.py | felipemcm3/ExerPython | d66c891eb82c0f7fd9c15203fe85a06e96d916b5 | [
"MIT"
] | null | null | null | from random import sample
from time import sleep
def maior(num, x):
print(f'Foi sorteado {x} numeros sendo o maior {max(num)}')
sleep(1)
marcador = 40 * '\033[31m#\033[m'
print(marcador)
lista = list()
i = int(input('Informe quantas vezes quer sortear os números'))
for y in range(i, 0, -1):
lista = sample(... | 26.578947 | 63 | 0.631683 |
381ea4da8e57d809bd0d1f796775e9de4bebc6a3 | 1,169 | py | Python | File_Transfer_Protocol/ftp_send_receive.py | srivama/Python | 809d4c077c179feb077f09a3cd2501f9724366a2 | [
"MIT"
] | null | null | null | File_Transfer_Protocol/ftp_send_receive.py | srivama/Python | 809d4c077c179feb077f09a3cd2501f9724366a2 | [
"MIT"
] | null | null | null | File_Transfer_Protocol/ftp_send_receive.py | srivama/Python | 809d4c077c179feb077f09a3cd2501f9724366a2 | [
"MIT"
] | null | null | null | """
File transfer protocol used to send and receive files using FTP server.
Use credentials to provide access to the FTP client
Note: Do not use root user name & password for security reasons
Create a separate user and provide access to a home directory of the user
Use logic id and password of the user created ca... | 33.4 | 92 | 0.711719 |
52298524b3835910c72dfb080e224648b9ae2ade | 3,045 | py | Python | heppy/RabbitMQ.py | bladeroot/heppy | b597916ff80890ca057b17cdd156e90bbbd9a87a | [
"BSD-3-Clause"
] | 20 | 2016-06-02T20:29:29.000Z | 2022-01-31T07:47:02.000Z | heppy/RabbitMQ.py | bladeroot/heppy | b597916ff80890ca057b17cdd156e90bbbd9a87a | [
"BSD-3-Clause"
] | 1 | 2018-10-09T16:09:24.000Z | 2018-10-10T08:17:42.000Z | heppy/RabbitMQ.py | bladeroot/heppy | b597916ff80890ca057b17cdd156e90bbbd9a87a | [
"BSD-3-Clause"
] | 7 | 2018-04-11T16:05:06.000Z | 2020-01-28T16:30:40.000Z | #!/usr/bin/env python
import pika
import uuid
from pika.connection import Parameters
from pika.connection import ConnectionParameters
class RPCServer:
def __init__(self, config):
self.config = config
self.queue = config.get('queue')
self.connection = pika.BlockingConnection(connection_pa... | 32.741935 | 102 | 0.633498 |
523186daee86abe22701e01cb51cb9a20da1a9ff | 5,860 | py | Python | nvtabular/ops/join_external.py | deepyaman/NVTabular | b814b5ed9866be29d3c13fd00154965a3fec7fc0 | [
"Apache-2.0"
] | null | null | null | nvtabular/ops/join_external.py | deepyaman/NVTabular | b814b5ed9866be29d3c13fd00154965a3fec7fc0 | [
"Apache-2.0"
] | null | null | null | nvtabular/ops/join_external.py | deepyaman/NVTabular | b814b5ed9866be29d3c13fd00154965a3fec7fc0 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2020, NVIDIA CORPORATION.
#
# 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 ... | 34.470588 | 91 | 0.613993 |
4ca843a8a1e2edc0859fd33c1c69f13ca9cc7a69 | 10,519 | py | Python | gradcam-overlay-tcia.py | ashish-code/MI-DQA | 1d4d5c2fa148aa7229cc9089adc982ab0d33e631 | [
"MIT"
] | null | null | null | gradcam-overlay-tcia.py | ashish-code/MI-DQA | 1d4d5c2fa148aa7229cc9089adc982ab0d33e631 | [
"MIT"
] | null | null | null | gradcam-overlay-tcia.py | ashish-code/MI-DQA | 1d4d5c2fa148aa7229cc9089adc982ab0d33e631 | [
"MIT"
] | null | null | null | """
Class Activation Map for ResNet-18 with 2D Tensor of MRI slices
"""
import torch
from torch import nn
import matplotlib.pyplot as plt
from matplotlib.pyplot import imshow
from torchvision import models
from torch import optim
from torch.optim import lr_scheduler
from torchvision import transforms
from torch.autogra... | 33.932258 | 107 | 0.62639 |
af7466ced8260b8a7a7a5bfcfd2516ca758082f5 | 4,918 | bzl | Python | databazel.bzl | danielhfrank/databazel | 52ba5d3aca4eea1cf8326c37dfe12b454ce0ee2c | [
"MIT"
] | 22 | 2019-06-25T07:00:29.000Z | 2022-02-01T03:13:08.000Z | databazel.bzl | danielhfrank/databazel | 52ba5d3aca4eea1cf8326c37dfe12b454ce0ee2c | [
"MIT"
] | 7 | 2019-06-26T08:20:46.000Z | 2022-02-10T00:24:41.000Z | databazel.bzl | danielhfrank/databazel | 52ba5d3aca4eea1cf8326c37dfe12b454ce0ee2c | [
"MIT"
] | 2 | 2019-06-03T23:14:15.000Z | 2019-06-26T08:19:56.000Z |
# Utility functions
def mk_param_summary(hyperparams):
return '__'.join([hpname + '_' + val for hpname, val in hyperparams.items()])
def insert_param_summary(filename, param_summary):
basename, extn = filename.rsplit('.', 1)
return basename + '__' + param_summary + '.' + extn
def combinations(ll):
... | 29.987805 | 89 | 0.611427 |
4926c614e3650c9256c47da23276c31049bf00f5 | 2,298 | py | Python | pythonlib/tests/integration_tests/test_utils.py | mialiu149/aml-real-time-ai | 52bded7018df732932d0b9f20f0bf96470166d54 | [
"MIT"
] | 1 | 2018-07-01T18:49:09.000Z | 2018-07-01T18:49:09.000Z | pythonlib/tests/integration_tests/test_utils.py | rawnc/aml-real-time-ai | 52bded7018df732932d0b9f20f0bf96470166d54 | [
"MIT"
] | null | null | null | pythonlib/tests/integration_tests/test_utils.py | rawnc/aml-real-time-ai | 52bded7018df732932d0b9f20f0bf96470166d54 | [
"MIT"
] | 5 | 2018-07-11T21:35:46.000Z | 2019-07-11T19:41:55.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License
import os
import json
import glob
import requests
import zipfile
from collections import namedtuple
from datetime import datetime, timezone
from dateutil.parser import parse
from amlrealtimeai import deployment_client
def cl... | 35.353846 | 100 | 0.669713 |
7208e20eeb8a0b002aa5bd4736ac752a17ea073c | 1,948 | py | Python | pyglare/math/geometry.py | keyvank/pyglare | 9e26ae444ff4481f0f50d7344d2a5a881d04fe64 | [
"MIT"
] | 6 | 2017-01-13T22:32:55.000Z | 2022-03-27T22:19:49.000Z | pyglare/math/geometry.py | keyvank/pyglare | 9e26ae444ff4481f0f50d7344d2a5a881d04fe64 | [
"MIT"
] | 1 | 2016-09-13T17:59:41.000Z | 2016-09-13T18:05:20.000Z | pyglare/math/geometry.py | keyvank/pyglare | 9e26ae444ff4481f0f50d7344d2a5a881d04fe64 | [
"MIT"
] | null | null | null | import math
class Vector:
def __init__(self,x,y,z):
self.x = x
self.y = y
self.z = z
def length(self):
return math.sqrt(self.x * self.x + self.y * self.y + self.z * self.z)
def normalize(self):
return self / self.length()
def __add__(self,vec):
return Vector(self.x + vec.x,self.y + vec.y,self.z... | 20.505263 | 78 | 0.649384 |
1fd9658c482813818ead6571da6b1fa35e921767 | 3,292 | py | Python | economic_dispatch/simulation/dataclasses.py | simcesplatform/economic-dispatch | 83bda518eea9ed140fa0a8f0ee6964ff0a23746e | [
"MIT"
] | null | null | null | economic_dispatch/simulation/dataclasses.py | simcesplatform/economic-dispatch | 83bda518eea9ed140fa0a8f0ee6964ff0a23746e | [
"MIT"
] | null | null | null | economic_dispatch/simulation/dataclasses.py | simcesplatform/economic-dispatch | 83bda518eea9ed140fa0a8f0ee6964ff0a23746e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2021 Tampere University and VTT Technical Research Centre of Finland
# This software was developed as a part of the ProCemPlus project: https://www.senecc.fi/projects/procemplus
# This source code is licensed under the MIT license. See LICENSE in the repository root directory.
# Aut... | 27.663866 | 108 | 0.647631 |
00eb2e176df1b531bb5d9a1228057936241c23ec | 1,740 | bzl | Python | objc/objc_proto_library.bzl | purkhusid/rules_proto_grpc | 943656d049d2932a32d8f882bbb05c024b499020 | [
"Apache-2.0"
] | null | null | null | objc/objc_proto_library.bzl | purkhusid/rules_proto_grpc | 943656d049d2932a32d8f882bbb05c024b499020 | [
"Apache-2.0"
] | null | null | null | objc/objc_proto_library.bzl | purkhusid/rules_proto_grpc | 943656d049d2932a32d8f882bbb05c024b499020 | [
"Apache-2.0"
] | null | null | null | """Generated definition of objc_proto_library."""
load("//objc:objc_proto_compile.bzl", "objc_proto_compile")
load("//internal:compile.bzl", "proto_compile_attrs")
load("//internal:filter_files.bzl", "filter_files")
load("@rules_cc//cc:defs.bzl", "objc_library")
def objc_proto_library(name, **kwargs): # buildifier: ... | 31.071429 | 93 | 0.592529 |
9390cd0decc5bb3cdc7df8a96b30a05473a0d3b8 | 599 | py | Python | src/SgFactory/sizegrip.py | WDonegan/psg-factories | 5a6e362d9159a0d5c82960d9e2e7d446f1ab013d | [
"MIT"
] | null | null | null | src/SgFactory/sizegrip.py | WDonegan/psg-factories | 5a6e362d9159a0d5c82960d9e2e7d446f1ab013d | [
"MIT"
] | null | null | null | src/SgFactory/sizegrip.py | WDonegan/psg-factories | 5a6e362d9159a0d5c82960d9e2e7d446f1ab013d | [
"MIT"
] | null | null | null | import PySimpleGUI as sg
from .base import GeneratorBase
class Sizegrip(GeneratorBase):
BACKGROUND_COLOR = 'background_color'
PAD = 'pad'
KEY = 'key'
def reset_params(self):
self.__parameters__ = {
self.BACKGROUND_COLOR: (False, None),
self.PAD: (False, ... | 28.52381 | 60 | 0.590985 |
30115e08c32a5e3c9fd516b4f447af2218bb952f | 3,916 | py | Python | fetch_stock_data.py | guan4015/Deep-Learning-Methods-in-Predicting-the-Movements-of-Stock-Prices. | db6a601592fbf3c5b254a5f9d2ca571296e8b055 | [
"MIT"
] | null | null | null | fetch_stock_data.py | guan4015/Deep-Learning-Methods-in-Predicting-the-Movements-of-Stock-Prices. | db6a601592fbf3c5b254a5f9d2ca571296e8b055 | [
"MIT"
] | null | null | null | fetch_stock_data.py | guan4015/Deep-Learning-Methods-in-Predicting-the-Movements-of-Stock-Prices. | db6a601592fbf3c5b254a5f9d2ca571296e8b055 | [
"MIT"
] | null | null | null |
import datetime
import sys
import urllib2
import re
import os
import time
import urllib
import urllib2
import pandas_datareader.data as web
import random
import json
from math import log
# output file name: input/stockPrices_raw.json
# json structure: crawl daily price data from yahoo finance
# ticker
# ... | 36.259259 | 154 | 0.639173 |
8b3bfd4cda361e55bb5628a953bce5251a8a00e0 | 2,719 | py | Python | gym_connect_four/envs/render.py | nicolas-chan-42/COMP-3359-Project-Deep-Q-RL | 6e9098e6d55b8a813b27efc871f179ffeb2cfa9c | [
"MIT"
] | null | null | null | gym_connect_four/envs/render.py | nicolas-chan-42/COMP-3359-Project-Deep-Q-RL | 6e9098e6d55b8a813b27efc871f179ffeb2cfa9c | [
"MIT"
] | 1 | 2020-05-02T15:24:23.000Z | 2020-05-02T15:24:23.000Z | gym_connect_four/envs/render.py | nicolas-chan-42/COMP-3359-Project-Deep-Q-RL | 6e9098e6d55b8a813b27efc871f179ffeb2cfa9c | [
"MIT"
] | null | null | null | import gym
import numpy as np
from PIL import Image, ImageDraw
class Color(object):
WHITE = (255, 255, 255)
RED = (255, 0, 0)
BLUE = (0, 0, 255)
YELLOW = (255, 255, 0)
def render_board(board,
image_width=512,
image_height=512,
board_percent_x=0.8,
... | 32.759036 | 85 | 0.616035 |
fc05d26835ad9353c5d756bf79fffcd49c64ca01 | 225 | py | Python | brainly/49532933/2.py | Guaxinim5573/programming-questions | 447c6f326d8a216b24847964ca3402f7a40d458c | [
"MIT"
] | null | null | null | brainly/49532933/2.py | Guaxinim5573/programming-questions | 447c6f326d8a216b24847964ca3402f7a40d458c | [
"MIT"
] | null | null | null | brainly/49532933/2.py | Guaxinim5573/programming-questions | 447c6f326d8a216b24847964ca3402f7a40d458c | [
"MIT"
] | null | null | null |
while True:
try:
numero = int(input("Digite um número: "))
print("Tabuada de " + str(numero))
for i in range(1,11):
print(str(i) + ": " + str(numero * i))
except ValueError:
print("Número inválido.")
continue
| 20.454545 | 43 | 0.617778 |
d6b70ae096ff6321233ca2c03e6ecaf775051939 | 1,553 | py | Python | configs/fsaf/fsaf_r50_fpn_1x_coco.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | null | null | null | configs/fsaf/fsaf_r50_fpn_1x_coco.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | 1 | 2021-12-01T04:15:47.000Z | 2021-12-01T04:15:47.000Z | configs/fsaf/fsaf_r50_fpn_1x_coco.py | clintonjwang/mmdetection | f0d1aebdc162ab7e3748d7ac050b523476639818 | [
"Apache-2.0"
] | null | null | null | _base_ = '../retinanet/retinanet_r50_fpn_1x_coco.py'
# model settings
model = dict(
type='FSAF',
bbox_head=dict(
type='FSAFHead',
num_classes=80,
in_channels=256,
stacked_convs=4,
feat_channels=256,
reg_decoded_bbox=True,
# Only anchor-free branch is imple... | 32.354167 | 77 | 0.563426 |
9c72ed353fb9b011bfd50da744577708d464fd4c | 1,216 | py | Python | setup.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | setup.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | setup.py | haesleinhuepf/beetle-safari | a6c90d10b6b4d67c153f87c83c02bd23f2b13843 | [
"BSD-3-Clause"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="beetlesafari",
version="0.3.2",
author="Robert Haase",
author_email="robert.haase@tu-dresden.de",
description="A napari plugin for loading and working with light sheet imaging data of deve... | 35.764706 | 172 | 0.658717 |
2107a4179bde1d349c3a607466093d340a4bc1cf | 259 | py | Python | setup.py | coecms/era5 | 0c280ba93f74c21c8276e6e646ad8bdd74ca3eff | [
"Apache-2.0"
] | 22 | 2019-03-20T06:10:59.000Z | 2021-11-22T14:38:56.000Z | setup.py | coecms/era5 | 0c280ba93f74c21c8276e6e646ad8bdd74ca3eff | [
"Apache-2.0"
] | null | null | null | setup.py | coecms/era5 | 0c280ba93f74c21c8276e6e646ad8bdd74ca3eff | [
"Apache-2.0"
] | 5 | 2019-03-24T23:54:57.000Z | 2021-11-29T16:20:07.000Z | #!/usr/bin/env python
#
# Uses Python Build Reasonableness https://docs.openstack.org/developer/pbr/
# Add configuration to `setup.cfg`
from setuptools import setup
setup(
setup_requires=['pbr>=1.9', 'setuptools>=17.1'],
pbr=True,
)
| 21.583333 | 76 | 0.664093 |
d0d25d14ed6f582b782d144f6a1b09731c84a93e | 8,742 | py | Python | scripts/plot_results.py | SudeepDasari/video_prediction-1 | ef0953b514aa1b7a1f5e96fd30aebef01334fb2d | [
"MIT"
] | 5 | 2018-05-23T02:15:45.000Z | 2020-09-04T00:52:48.000Z | scripts/plot_results.py | SudeepDasari/video_prediction-1 | ef0953b514aa1b7a1f5e96fd30aebef01334fb2d | [
"MIT"
] | null | null | null | scripts/plot_results.py | SudeepDasari/video_prediction-1 | ef0953b514aa1b7a1f5e96fd30aebef01334fb2d | [
"MIT"
] | 3 | 2018-10-19T23:13:15.000Z | 2020-01-10T15:09:54.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import glob
import os
import numpy as np
def load_metrics(prefix_fname):
import csv
with open('%s.csv' % prefix_fname, newline='') as csvfile:
reader = csv.reader(csvfile, del... | 39.556561 | 136 | 0.626401 |
84b1b920db5b37bf9bfa8d39379b8cb5d065ed1f | 2,433 | py | Python | log_casp_act/run_model_232.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_casp_act/run_model_232.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_casp_act/run_model_232.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null |
import numpy as np
from math import *
import pymultinest
import sys
sys.path.insert(0, '/home/kochenma/pysb')
from pysb.integrate import Solver
import csv
import datetime
import time as tm
from model_232 import model
from pysb.pathfinder import set_path
set_path('bng', '/home/kochenma/BioNetGen')
data_object = []
wi... | 25.610526 | 237 | 0.671599 |
cd0cdd8048f64e9be8d812846fecf7e8d4ff5ea7 | 2,548 | py | Python | var/spack/repos/builtin/packages/py-prompt-toolkit/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 11 | 2015-10-04T02:17:46.000Z | 2018-02-07T18:23:00.000Z | var/spack/repos/builtin/packages/py-prompt-toolkit/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 22 | 2017-08-01T22:45:10.000Z | 2022-03-10T07:46:31.000Z | var/spack/repos/builtin/packages/py-prompt-toolkit/package.py | QianJianhua1/spack | 363536fd929d2aee280e07780ff6c98498d7be46 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2016-06-10T17:57:39.000Z | 2018-09-11T04:59:38.000Z | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyPromptToolkit(PythonPackage):
"""Library for building powerful interactive command lines... | 56.622222 | 96 | 0.742151 |
db35abd17b63058c353dde5acc3d30dc18ec054a | 104 | py | Python | 04_Day_Strings/25.py | diegofregolente/30-Days-Of-Python | e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267 | [
"Apache-2.0"
] | null | null | null | 04_Day_Strings/25.py | diegofregolente/30-Days-Of-Python | e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267 | [
"Apache-2.0"
] | null | null | null | 04_Day_Strings/25.py | diegofregolente/30-Days-Of-Python | e0cad31f6d5ab1384ad6fa5a5d24a84771d6c267 | [
"Apache-2.0"
] | null | null | null | phrase = 'You can not end a setence with because because because is a conjunction'
print(phrase[31:54])
| 34.666667 | 82 | 0.769231 |
51d1bf2a5a1e0e7f221d2673beeb4c167505ff8d | 1,075 | py | Python | apps/news/handlers/update.py | hiraq/testcoil | f136ca6b3e9d0ce5da9f868ab63d9c7dda0f859e | [
"MIT"
] | null | null | null | apps/news/handlers/update.py | hiraq/testcoil | f136ca6b3e9d0ce5da9f868ab63d9c7dda0f859e | [
"MIT"
] | null | null | null | apps/news/handlers/update.py | hiraq/testcoil | f136ca6b3e9d0ce5da9f868ab63d9c7dda0f859e | [
"MIT"
] | null | null | null | import datetime
from http import HTTPStatus
from sanic.response import json
from core.helpers import jsonapi
from apps.commons.errors import DataNotFoundError
from apps.news.models import News
from apps.news.repository import NewsRepo
from apps.news.services import UpdateService
async def update(request, id):
r... | 28.289474 | 91 | 0.609302 |
2d0aea3a4b6fe21ddf21dabca0cbe541f5fc99a9 | 4,087 | py | Python | gollyx_python/stats.py | golly-splorts/gollyx-python | 4914ab4cb6792b62209a90500e9d7a5a4763ca8f | [
"MIT"
] | null | null | null | gollyx_python/stats.py | golly-splorts/gollyx-python | 4914ab4cb6792b62209a90500e9d7a5a4763ca8f | [
"MIT"
] | null | null | null | gollyx_python/stats.py | golly-splorts/gollyx-python | 4914ab4cb6792b62209a90500e9d7a5a4763ca8f | [
"MIT"
] | null | null | null | from .constants import SMOL, MAXDIM, EQUALTOL
from .utils import approx_equal
from .movingavglist import MovingAvgList
class LifeStats(object):
"""
Object to hold statistical information about a Life object.
This abstraction is messy, since the Life object creates LifeStats,
but LifeStats still requir... | 39.298077 | 93 | 0.565941 |
5c4ec5be62c707be44d8bc8abbd050a343a65ff5 | 31,377 | py | Python | pylearn2/datasets/new_norb.py | capybaralet/pylearn2 | 78d78a99bc6114616a22a4d798c7fedfe4489c58 | [
"BSD-3-Clause"
] | null | null | null | pylearn2/datasets/new_norb.py | capybaralet/pylearn2 | 78d78a99bc6114616a22a4d798c7fedfe4489c58 | [
"BSD-3-Clause"
] | null | null | null | pylearn2/datasets/new_norb.py | capybaralet/pylearn2 | 78d78a99bc6114616a22a4d798c7fedfe4489c58 | [
"BSD-3-Clause"
] | null | null | null | """An interface to the NORB and Small NORB datasets.
Unlike ./norb_small.py, this reads the original NORB file format, not the
LISA lab's .npy version.
Download the datasets from:
Small NORB: http://www.cs.nyu.edu/~ylclab/data/norb-v1.0-small/
(big) NORB: http://www.cs.nyu.edu/~ylclab/data/norb-v1.0/
NORB and Small ... | 36.698246 | 79 | 0.524014 |
bb43cab366a137d38d0e417e7433044ef0a76457 | 9,621 | py | Python | tools/sim/op_script/draw_num_of_errors.py | FusionFuzz/openpilot | ee9a74d9842808f2af3cb6e2173d75483443f31e | [
"MIT"
] | null | null | null | tools/sim/op_script/draw_num_of_errors.py | FusionFuzz/openpilot | ee9a74d9842808f2af3cb6e2173d75483443f31e | [
"MIT"
] | null | null | null | tools/sim/op_script/draw_num_of_errors.py | FusionFuzz/openpilot | ee9a74d9842808f2af3cb6e2173d75483443f31e | [
"MIT"
] | null | null | null | import sys
import argparse
import os
import numpy as np
import pickle
import seaborn as sns
sns.set_theme()
sns.set_style("white")
from matplotlib import pyplot as plt
from tools.sim.op_script.utils_multiple import append_relevant_paths
if __name__ == "__main__":
append_relevant_paths()
from tools.sim.op_scrip... | 41.115385 | 213 | 0.639746 |
3d7d9b9d4b715a79ee74a598a4fd3354714af95d | 21,508 | py | Python | supervisor/tests/test_supervisord.py | blueyed/supervisor | 0bfed5f2a7442a88103da7e9a92dcd018e8e15fc | [
"ZPL-2.1"
] | 2 | 2017-09-17T21:24:44.000Z | 2019-08-26T03:02:43.000Z | supervisor/tests/test_supervisord.py | blueyed/supervisor | 0bfed5f2a7442a88103da7e9a92dcd018e8e15fc | [
"ZPL-2.1"
] | null | null | null | supervisor/tests/test_supervisord.py | blueyed/supervisor | 0bfed5f2a7442a88103da7e9a92dcd018e8e15fc | [
"ZPL-2.1"
] | 3 | 2021-02-23T08:36:03.000Z | 2021-02-23T08:36:54.000Z | import unittest
import time
import signal
import sys
import os
import tempfile
import shutil
from supervisor.tests.base import DummyOptions
from supervisor.tests.base import DummyPConfig
from supervisor.tests.base import DummyPGroupConfig
from supervisor.tests.base import DummyProcess
from supervisor.tests.base import... | 40.35272 | 85 | 0.644783 |
5b4c239ab953f71a5526198e932bf90534372279 | 19,829 | py | Python | cirq-core/cirq/ops/clifford_gate_test.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/ops/clifford_gate_test.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/ops/clifford_gate_test.py | melonwater211/Cirq | e9ec70d3ed7e7e4dbc36418743faba170e488364 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 36.856877 | 100 | 0.701649 |
a8beec77384f5afd9e7f4d26eec71848958bb416 | 980 | py | Python | setup.py | psuresh21/real-time_weather_status | 7891222a17a8cdb3c530d31c08be1e5d00c7eb4d | [
"MIT"
] | null | null | null | setup.py | psuresh21/real-time_weather_status | 7891222a17a8cdb3c530d31c08be1e5d00c7eb4d | [
"MIT"
] | null | null | null | setup.py | psuresh21/real-time_weather_status | 7891222a17a8cdb3c530d31c08be1e5d00c7eb4d | [
"MIT"
] | null | null | null | from intro_ques import *
from read_the_urls import read_the_url
from extract_txt import ext_txt
from weather_report import print_weather
from bytostr import bytes_to_str
import urllib.request, re
urls = f"https://www.google.com/search?channel=fs&client=ubuntu&q={mycountry}+weather" # read the urls
read_the_url(urls)... | 31.612903 | 143 | 0.742857 |
70c89618629c546e3998564d6b69f968abcb6398 | 849 | py | Python | atom/nucleus/python/test/test_page_client.py | sumit4-ttn/SDK | b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff | [
"Apache-2.0"
] | null | null | null | atom/nucleus/python/test/test_page_client.py | sumit4-ttn/SDK | b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff | [
"Apache-2.0"
] | null | null | null | atom/nucleus/python/test/test_page_client.py | sumit4-ttn/SDK | b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Hydrogen Atom API
The Hydrogen Atom API # noqa: E501
OpenAPI spec version: 1.7.0
Contact: info@hydrogenplatform.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import nucleus_api
from nucleus_... | 20.707317 | 79 | 0.690224 |
16c6aa25464f90f34b0e2a761ecbf9f07650c6e2 | 10,644 | py | Python | archinfo/arch_x86.py | 0mp/archinfo | 2f510c03d49858e1d1a6c7a2ce89cc528cfe68dc | [
"BSD-2-Clause"
] | 1 | 2019-06-05T21:34:28.000Z | 2019-06-05T21:34:28.000Z | archinfo/arch_x86.py | mephi42/archinfo | 2371aac5c162907e722d70de5607297a5c3fb62e | [
"BSD-2-Clause"
] | null | null | null | archinfo/arch_x86.py | mephi42/archinfo | 2371aac5c162907e722d70de5607297a5c3fb62e | [
"BSD-2-Clause"
] | null | null | null | import logging
l = logging.getLogger("archinfo.arch_x86")
try:
import capstone as _capstone
except ImportError:
_capstone = None
try:
import keystone as _keystone
except ImportError:
_keystone = None
try:
import unicorn as _unicorn
except ImportError:
_unicorn = None
from .arch import Arch,... | 44.165975 | 121 | 0.547163 |
f0fa740f5d5c04827fa7c1860ed8f621cb01015a | 3,460 | bzl | Python | tensorflow/core/platform/build_config.bzl | sisp/tensorflow | eb1aab2c5accecfa8d9400619367049cd3a33156 | [
"Apache-2.0"
] | 2 | 2019-12-10T11:03:50.000Z | 2020-07-22T22:04:14.000Z | tensorflow/core/platform/build_config.bzl | Maplesotrys/tensorflow | bd02ab2727d4f21a332efdc453f95d8c3b52cbe0 | [
"Apache-2.0"
] | 2 | 2021-08-25T15:53:30.000Z | 2022-02-10T01:40:41.000Z | tensorflow/core/platform/build_config.bzl | Maplesotrys/tensorflow | bd02ab2727d4f21a332efdc453f95d8c3b52cbe0 | [
"Apache-2.0"
] | 1 | 2021-10-05T02:42:58.000Z | 2021-10-05T02:42:58.000Z | """Provides a redirection point for platform specific implementations of starlark utilities."""
load(
"//tensorflow/core/platform/default:build_config.bzl",
_pyx_library = "pyx_library",
_tf_additional_all_protos = "tf_additional_all_protos",
_tf_additional_binary_deps = "tf_additional_binary_deps",
... | 50.144928 | 95 | 0.854335 |
80f0e67cbb55a58c3890703a875d4bab6b13cb83 | 385 | py | Python | setup.py | jmstevens/cordel-bot | d52dc12978064c3dc109720cdcd11524e45b5b78 | [
"MIT"
] | null | null | null | setup.py | jmstevens/cordel-bot | d52dc12978064c3dc109720cdcd11524e45b5b78 | [
"MIT"
] | null | null | null | setup.py | jmstevens/cordel-bot | d52dc12978064c3dc109720cdcd11524e45b5b78 | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='src',
packages=find_packages(),
version='0.1.0',
description='Discord conversational chatbot sandbox project. All code is written following Matthew Inkawhich's pytorch tutorial on developing chatbots https://pytorch.org/tutorials/beginner/chatbot... | 35 | 217 | 0.753247 |
718e236178bcd6b5158791936bf91e0db1ba5392 | 5,817 | py | Python | bin/disco_ssh.py | amplifylitco/asiaq | a1a292f6e9cbf32a30242405e4947b17910e5369 | [
"BSD-2-Clause"
] | 27 | 2016-03-08T16:50:22.000Z | 2018-11-26T06:33:25.000Z | bin/disco_ssh.py | amplifylitco/asiaq | a1a292f6e9cbf32a30242405e4947b17910e5369 | [
"BSD-2-Clause"
] | 202 | 2016-03-08T17:13:08.000Z | 2019-02-01T00:49:06.000Z | bin/disco_ssh.py | amplify-education/asiaq | fb6004bc4da0acef40e7bc18b148db4f72fa2f32 | [
"BSD-2-Clause"
] | 2 | 2016-03-17T18:52:37.000Z | 2016-10-06T20:36:37.000Z | #!/usr/bin/env python
"""
Asiaq SSH utility. Starts an ssh session to a host by automatically determining whether to use its
private ip, public ip, or to tunnel through a jump host.
Usage:
disco_ssh.py [options] <host>
Variables:
<host> A hostname/hostclass/instance substring
Options:
-... | 36.584906 | 108 | 0.620079 |
05e8a96a0bb6cfcd9e64d36b4cc6eb60932a21ca | 3,922 | py | Python | scripts/shrink_fasttext.py | zeeshansayyed/multiparser | f77e7c688ec51bc09f52441900fbe27c5c62f6bc | [
"MIT"
] | null | null | null | scripts/shrink_fasttext.py | zeeshansayyed/multiparser | f77e7c688ec51bc09f52441900fbe27c5c62f6bc | [
"MIT"
] | null | null | null | scripts/shrink_fasttext.py | zeeshansayyed/multiparser | f77e7c688ec51bc09f52441900fbe27c5c62f6bc | [
"MIT"
] | 1 | 2021-09-10T14:58:02.000Z | 2021-09-10T14:58:02.000Z | from pathlib import Path
from torch._C import dtype
from supar.utils.data import Dataset
from supar.utils.field import Field
from supar.utils.common import bos, pad, unk
from supar.utils.transform import CoNLL
from collections import defaultdict
import argparse
import numpy as np
import pudb
data_dir = Path('data')
e... | 41.723404 | 114 | 0.616267 |
456018c3a2d8c93e7b1944cde8e82b67e7bb9827 | 210 | py | Python | blog/forms.py | bane138/nonhumanuser | 23db4f1544e5fc000618d56aa88d43f555e48034 | [
"MIT"
] | null | null | null | blog/forms.py | bane138/nonhumanuser | 23db4f1544e5fc000618d56aa88d43f555e48034 | [
"MIT"
] | 8 | 2020-02-12T00:37:14.000Z | 2021-09-22T17:41:18.000Z | blog/forms.py | bane138/nonhumanuser | 23db4f1544e5fc000618d56aa88d43f555e48034 | [
"MIT"
] | null | null | null | from django.forms import ModelForm
from .models import Entry, EntryComment
class EntryCommentForm(ModelForm):
class Meta:
model = EntryComment
exclude = ('entry', 'created_date', 'approved', 'user') | 26.25 | 59 | 0.738095 |
b9d5fb5137c1f0827884d672cb9aad1e22ae1fb1 | 1,488 | py | Python | mealbot.py | boghison/ksamealbot | 8a95d8e17e87908ee05eb4282a371f83997b9c78 | [
"MIT"
] | null | null | null | mealbot.py | boghison/ksamealbot | 8a95d8e17e87908ee05eb4282a371f83997b9c78 | [
"MIT"
] | 1 | 2018-03-10T13:49:34.000Z | 2018-03-11T04:24:58.000Z | mealbot.py | boghison/ksamealbot | 8a95d8e17e87908ee05eb4282a371f83997b9c78 | [
"MIT"
] | null | null | null | import urllib2, ssl, os
import xml.etree.ElementTree as ET
from datetime import datetime
from threading import Timer
meal = ['*☀ 조식 ☀*️', '*🕐 중식 🕐*', '*🌙 석식 🌙*']
bot_token = os.environ['TELEGRAM_BOT_TOKEN']
context = ssl._create_unverified_context()
def create_timer():
today = datetime.today()
... | 31.659574 | 140 | 0.580645 |
fb88e8146b890a140f1c2b35a2dae1cdfbdcb937 | 1,857 | py | Python | bin/dbtest.py | citruscoin/Sentinel | 85470f79ce0f49a05794df6ad7528dbf6825dc26 | [
"MIT"
] | null | null | null | bin/dbtest.py | citruscoin/Sentinel | 85470f79ce0f49a05794df6ad7528dbf6825dc26 | [
"MIT"
] | null | null | null | bin/dbtest.py | citruscoin/Sentinel | 85470f79ce0f49a05794df6ad7528dbf6825dc26 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pdb
from pprint import pprint
import re
import sys
import os
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../lib')))
import config
from models import Superblock, Proposal, GovernanceObject, Setting, Signal, Vote, Outcome, Watchdog
from models import VoteSignal... | 29.47619 | 99 | 0.686053 |
4025d811a754477c62c92c4753dc47a5ff576779 | 269 | py | Python | docs/fix_readme.py | 5yutan5/qt-material | 63caf6755d1d00ea66c37d6583077c376a764435 | [
"BSD-2-Clause"
] | 692 | 2020-12-06T17:30:05.000Z | 2022-03-31T14:12:40.000Z | docs/fix_readme.py | 5yutan5/qt-material | 63caf6755d1d00ea66c37d6583077c376a764435 | [
"BSD-2-Clause"
] | 43 | 2020-12-06T04:19:02.000Z | 2022-03-16T15:20:34.000Z | docs/fix_readme.py | 5yutan5/qt-material | 63caf6755d1d00ea66c37d6583077c376a764435 | [
"BSD-2-Clause"
] | 93 | 2020-12-10T08:26:25.000Z | 2022-03-29T08:46:46.000Z | import os
with open('../README.md', 'r') as file:
content = file.read()
content = content.replace(
'_images/', 'https://github.com/UN-GCPDS/qt-material/raw/master/docs/source/notebooks/_images/')
with open('../README.md', 'w') as file:
file.write(content)
| 29.888889 | 100 | 0.665428 |
a3ad55d25d6b2e17842278a8f4cb26972bf89b2c | 8,464 | py | Python | utils/infomin_base_options.py | frank-xwang/CLD | 0852e5c3d0f0c28e85668b87b4fff20bd67e3efd | [
"MIT"
] | 70 | 2020-12-04T06:44:57.000Z | 2022-03-30T03:38:55.000Z | utils/infomin_base_options.py | frank-xwang/CLD-UnsupervisedLearning | 5c5a5ac87b848a8f2b826455a5af04add7ad4cf9 | [
"MIT"
] | 18 | 2020-12-31T03:57:35.000Z | 2021-10-21T06:41:41.000Z | utils/infomin_base_options.py | frank-xwang/CLD | 0852e5c3d0f0c28e85668b87b4fff20bd67e3efd | [
"MIT"
] | 6 | 2021-04-13T18:09:14.000Z | 2021-12-14T11:18:23.000Z | import os
import argparse
class BaseOptions(object):
def __init__(self):
self.initialized = False
self.parser = None
self.opt = None
# config for predefined method
self.override_dict = {
'InsDis': ['RGB', False, 'bank', 'A', 'linear', 0.07],
'CMC':... | 50.08284 | 92 | 0.521148 |
a961f92c7dbb391ad0a39052108d09515f037fc0 | 14,825 | py | Python | floris/simulation/wake_velocity/multizone.py | paulf81/FLORIS | ef4934ec7feb7afd2615772d364a1eaa28db93e9 | [
"Apache-2.0"
] | 91 | 2019-06-04T08:56:29.000Z | 2022-03-13T17:39:22.000Z | floris/simulation/wake_velocity/multizone.py | paulf81/FLORIS | ef4934ec7feb7afd2615772d364a1eaa28db93e9 | [
"Apache-2.0"
] | 224 | 2019-04-08T22:03:45.000Z | 2022-03-31T17:56:09.000Z | floris/simulation/wake_velocity/multizone.py | paulf81/FLORIS | ef4934ec7feb7afd2615772d364a1eaa28db93e9 | [
"Apache-2.0"
] | 97 | 2019-04-23T20:48:20.000Z | 2022-03-29T08:17:02.000Z | # Copyright 2021 NREL
# 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
# distri... | 36.7866 | 88 | 0.549477 |
b72c89dd39ea0f117411eba9c76fdc52c7e392cc | 2,659 | py | Python | refreshtoken/views.py | karisal-anders/djangorestframework-jwt-refresh-token | a7a211a4e9bb37052776b310b67ef4b1fae78fcd | [
"MIT"
] | null | null | null | refreshtoken/views.py | karisal-anders/djangorestframework-jwt-refresh-token | a7a211a4e9bb37052776b310b67ef4b1fae78fcd | [
"MIT"
] | null | null | null | refreshtoken/views.py | karisal-anders/djangorestframework-jwt-refresh-token | a7a211a4e9bb37052776b310b67ef4b1fae78fcd | [
"MIT"
] | 1 | 2022-02-17T08:17:41.000Z | 2022-02-17T08:17:41.000Z | from calendar import timegm
from datetime import datetime
from django.utils.translation import ugettext as _
from rest_framework import exceptions, generics, status, viewsets
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from rest_framework_jwt.settings import api_setting... | 34.986842 | 79 | 0.735615 |
ff77ae89e0f542fca59afdb42020d2f2c7e14dc1 | 2,301 | py | Python | tools/project-creator/Python2.6.6/Lib/test/test_fork1.py | gohopo/nineck.ca | 9601f5ae4c20f8a3ea27b06551556fa5e1eecce3 | [
"MIT"
] | 81 | 2017-03-13T08:24:01.000Z | 2021-04-02T09:48:38.000Z | tools/project-creator/Python2.6.6/Lib/test/test_fork1.py | gohopo/nineck.ca | 9601f5ae4c20f8a3ea27b06551556fa5e1eecce3 | [
"MIT"
] | 6 | 2017-04-30T08:36:55.000Z | 2017-09-22T01:37:28.000Z | tools/project-creator/Python2.6.6/Lib/test/test_fork1.py | gohopo/nineck.ca | 9601f5ae4c20f8a3ea27b06551556fa5e1eecce3 | [
"MIT"
] | 41 | 2017-03-18T14:11:58.000Z | 2021-04-14T05:06:09.000Z | """This test checks for correct fork() behavior.
"""
import errno
import imp
import os
import signal
import sys
import time
import threading
from test.fork_wait import ForkWait
from test.test_support import TestSkipped, run_unittest, reap_children
try:
os.fork
except AttributeError:
raise Te... | 31.094595 | 88 | 0.55628 |
1687b406c73c5bcacdca0a1482e97da70606b732 | 9,119 | py | Python | main.py | BongSangKim/UGRP-in-progress | c8ed53d57f24a50dda441a4db9bd250e1124e9dd | [
"MIT"
] | 1 | 2019-08-06T03:06:41.000Z | 2019-08-06T03:06:41.000Z | main.py | BongSangKim/UGRP-in-progress | c8ed53d57f24a50dda441a4db9bd250e1124e9dd | [
"MIT"
] | null | null | null | main.py | BongSangKim/UGRP-in-progress | c8ed53d57f24a50dda441a4db9bd250e1124e9dd | [
"MIT"
] | null | null | null | #https://github.com/seungeunrho/minimalRL/blob/52aaa800e7bad30920a21a62f04a17d25663245c/dqn.py
import gym
import gym_UDN
import collections #replay buffer에서 쓰일 deque를 import하기 위함 double ended que?
import random
import numpy as np
from matplotlib import pyplot as plt
import torch #pytorch
import torch.nn as nn
im... | 43.631579 | 159 | 0.608839 |
39f0d20a97299465313d187da35c5439c13516be | 2,094 | py | Python | kuryr_kubernetes/cmd/gather_openstack_data.py | openshift-bot/kuryr-kubernetes | 9577bf398b19c1305468dda749edac31d76d46ee | [
"Apache-2.0"
] | null | null | null | kuryr_kubernetes/cmd/gather_openstack_data.py | openshift-bot/kuryr-kubernetes | 9577bf398b19c1305468dda749edac31d76d46ee | [
"Apache-2.0"
] | 1 | 2021-04-16T11:12:00.000Z | 2021-04-16T11:12:00.000Z | kuryr_kubernetes/cmd/gather_openstack_data.py | isabella232/kuryr-kubernetes | e682f20208f4f7b16f36e58b86abe62d5d0425e3 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 Red Hat, 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 require... | 29.492958 | 78 | 0.696275 |
19cdc4bf75c4e5d929eafd790340b9db5cc1f9e1 | 656 | py | Python | odmantic/__init__.py | vd2org/odmantic | 8bbc9f72dce74425238dab5c091261a1c548384e | [
"0BSD"
] | null | null | null | odmantic/__init__.py | vd2org/odmantic | 8bbc9f72dce74425238dab5c091261a1c548384e | [
"0BSD"
] | null | null | null | odmantic/__init__.py | vd2org/odmantic | 8bbc9f72dce74425238dab5c091261a1c548384e | [
"0BSD"
] | null | null | null | from .engine import AIOEngine
from .field import Field
from .model import EmbeddedModel, Model
from .reference import Reference
from .tools.bson import ObjectId
__all__ = ["AIOEngine", "Model", "EmbeddedModel", "Field", "Reference", "ObjectId"]
# Cleanest way to handle version changes with poetry while not hardcoding... | 32.8 | 85 | 0.786585 |
839169fc3611439db4226ef7010aff1763e9058b | 157 | py | Python | python/14-ImageCrop.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null | python/14-ImageCrop.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null | python/14-ImageCrop.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null | # 100 -> 200 x
# 100 -> 300 y
import cv2
img = cv2.imread('../Assets/Images/lena.jpg', 1)
dst = img[100:200, 100:300]
cv2.imshow('dst', dst)
cv2.waitKey(0) | 17.444444 | 48 | 0.630573 |
4c3cb5b8a6aa253d02612532e472e65459fedb3d | 7,260 | py | Python | mvpa_itab/script/carlo/sherlock/prepro/sherlock_glm.py | robbisg/mvpa_itab_wu | e3cdb198a21349672f601cd34381e0895fa6484c | [
"MIT"
] | 1 | 2022-01-12T08:59:22.000Z | 2022-01-12T08:59:22.000Z | mvpa_itab/script/carlo/sherlock/prepro/sherlock_glm.py | robbisg/mvpa_itab_wu | e3cdb198a21349672f601cd34381e0895fa6484c | [
"MIT"
] | 46 | 2016-08-04T14:49:37.000Z | 2022-03-09T08:47:48.000Z | mvpa_itab/script/carlo/sherlock/prepro/sherlock_glm.py | robbisg/mvpa_itab_wu | e3cdb198a21349672f601cd34381e0895fa6484c | [
"MIT"
] | null | null | null |
#!/usr/bin/env python
from bids import BIDSLayout
import os
import numpy as np
import pandas as pd
import click
import itertools
@click.command()
@click.option("--path", default='.', help="Path where data is stored")
@click.option("--pipeline", default='afniglm')
@click.option("--task", default='rest')
@click.option... | 32.850679 | 145 | 0.586364 |
fc712ec3347e5b527245416d7c938e71c3ea2b45 | 3,047 | py | Python | constants.py | rslayer/bhulan | a5fc3dc1c3d76005fe5dd076f39f8b41f98dbd7c | [
"MIT"
] | 2 | 2015-06-15T17:59:56.000Z | 2015-07-14T16:58:27.000Z | constants.py | rslayer/bhulan | a5fc3dc1c3d76005fe5dd076f39f8b41f98dbd7c | [
"MIT"
] | null | null | null | constants.py | rslayer/bhulan | a5fc3dc1c3d76005fe5dd076f39f8b41f98dbd7c | [
"MIT"
] | null | null | null | LAT_KEY = "lat"
LON_KEY = "lon"
PATENT_KEY = "patent"
TIMESTAMP_KEY = "timestamp"
TEMPERATURE_KEY = "temperature"
DRIVER_KEY = "driver"
COMMUNE_KEY = "commune"
CAPACITY_KEY = "capacity"
M_LAT_KEY = "mLat"
M_LON_KEY = "mLon"
VELOCITY_KEY = "velocity"
TRUCK_ID_KEY = "truckId"
TIME_KEY = "time"
TIME_START_KEY = "timeStart... | 22.404412 | 42 | 0.76042 |
2d48e5efff5e9a7c63ee5ca970a49998b746ffa7 | 6,116 | py | Python | super_collections/dashboard_views/views.py | 722C/saleor-super-collections | 0f0e79156043f96091cb1f949fbf616363919a16 | [
"MIT"
] | null | null | null | super_collections/dashboard_views/views.py | 722C/saleor-super-collections | 0f0e79156043f96091cb1f949fbf616363919a16 | [
"MIT"
] | null | null | null | super_collections/dashboard_views/views.py | 722C/saleor-super-collections | 0f0e79156043f96091cb1f949fbf616363919a16 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import permission_required
from django.http import JsonResponse
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.utils.translation import pge... | 42.17931 | 87 | 0.715664 |
64426e9fbf93970e6c0a9fe75038d2b010d6730e | 544 | py | Python | tests/r/test_med_expenses.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 199 | 2017-07-24T01:34:27.000Z | 2022-01-29T00:50:55.000Z | tests/r/test_med_expenses.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 46 | 2017-09-05T19:27:20.000Z | 2019-01-07T09:47:26.000Z | tests/r/test_med_expenses.py | hajime9652/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | [
"Apache-2.0"
] | 45 | 2017-07-26T00:10:44.000Z | 2022-03-16T20:44:59.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.med_expenses import med_expenses
def test_med_expenses():
"""Test module med_expenses.py by downloading
med_expenses.csv and testing shape of... | 22.666667 | 52 | 0.766544 |
3bbbe221fcff21af8c8da575b243b3d085ca5a6c | 16,787 | py | Python | homeassistant/components/sensor/__init__.py | andersop91/core | 0e0ef0aa17073609eae7c974cf4c73306b7c414b | [
"Apache-2.0"
] | 22,481 | 2020-03-02T13:09:59.000Z | 2022-03-31T23:34:28.000Z | homeassistant/components/sensor/__init__.py | andersop91/core | 0e0ef0aa17073609eae7c974cf4c73306b7c414b | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/sensor/__init__.py | andersop91/core | 0e0ef0aa17073609eae7c974cf4c73306b7c414b | [
"Apache-2.0"
] | 11,411 | 2020-03-02T14:19:20.000Z | 2022-03-31T22:46:07.000Z | """Component to interface with various sensors that can be monitored."""
from __future__ import annotations
from collections.abc import Mapping
from contextlib import suppress
from dataclasses import dataclass
from datetime import date, datetime, timedelta, timezone
import inspect
import logging
from typing import Any... | 34.470226 | 91 | 0.636921 |
209c53b687981989638e481f7d95d23c3559a355 | 5,378 | py | Python | harps/harpsutils.py | afeinstein20/ceres | e55150c587782cbecfd45c21ba0ce0023e54c3a9 | [
"MIT"
] | 35 | 2016-09-09T04:08:45.000Z | 2022-02-16T20:25:49.000Z | harps/harpsutils.py | afeinstein20/ceres | e55150c587782cbecfd45c21ba0ce0023e54c3a9 | [
"MIT"
] | 29 | 2016-09-10T15:30:29.000Z | 2021-06-02T14:55:53.000Z | harps/harpsutils.py | afeinstein20/ceres | e55150c587782cbecfd45c21ba0ce0023e54c3a9 | [
"MIT"
] | 26 | 2016-09-09T23:58:15.000Z | 2022-02-20T17:50:35.000Z | import matplotlib
matplotlib.use("Agg")
from astropy.io import fits as pyfits
from pylab import *
import scipy
import glob
import os
import sys
base = '../'
sys.path.append(base+"utils/GLOBALutils")
import GLOBALutils
def getObName(h):
"""
Get name of object under consideration
"""
obname = h[0].heade... | 29.549451 | 179 | 0.588695 |
47daa099d175e6495b1edc3770cf832b2dd222f6 | 11,246 | py | Python | tests/classification/test_stat_scores.py | alanhdu/metrics | b168272eaf1ff08b9447e75338753f9c2abf0859 | [
"Apache-2.0"
] | null | null | null | tests/classification/test_stat_scores.py | alanhdu/metrics | b168272eaf1ff08b9447e75338753f9c2abf0859 | [
"Apache-2.0"
] | null | null | null | tests/classification/test_stat_scores.py | alanhdu/metrics | b168272eaf1ff08b9447e75338753f9c2abf0859 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning 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 to i... | 41.498155 | 120 | 0.646541 |
22abae119f8fd316275d24ac01344352d9692aa4 | 1,544 | py | Python | aliyun/api/rest/Ess20140828AttachInstancesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 14 | 2015-11-30T02:35:18.000Z | 2019-05-14T11:49:24.000Z | aliyun/api/rest/Ess20140828AttachInstancesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 2 | 2015-11-30T02:51:40.000Z | 2017-03-16T01:51:45.000Z | aliyun/api/rest/Ess20140828AttachInstancesRequest.py | francisar/rds_manager | 458298669bf7d1990a85648b466b88f905256690 | [
"MIT"
] | 12 | 2016-01-04T06:48:17.000Z | 2020-11-07T14:08:25.000Z | '''
Created by auto_sdk on 2015.06.23
'''
from aliyun.api.base import RestApi
class Ess20140828AttachInstancesRequest(RestApi):
def __init__(self,domain='ess.aliyuncs.com',port=80):
RestApi.__init__(self,domain, port)
self.InstanceId_1 = None
self.InstanceId_10 = None
self.InstanceId_11 = None
self.InstanceI... | 44.114286 | 632 | 0.762306 |
71e4a7f2716e7a0b039edcc5a32aca7551247d11 | 1,968 | py | Python | Codes/Project1/HandIn/luv_lscl.py | SCGTall/CS6384ComputerVision | f9b911d4230d65336555291a9d72f07f6aadcfe9 | [
"MIT"
] | null | null | null | Codes/Project1/HandIn/luv_lscl.py | SCGTall/CS6384ComputerVision | f9b911d4230d65336555291a9d72f07f6aadcfe9 | [
"MIT"
] | null | null | null | Codes/Project1/HandIn/luv_lscl.py | SCGTall/CS6384ComputerVision | f9b911d4230d65336555291a9d72f07f6aadcfe9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import cv2
import numpy as np
import sys
from myModules import linear_stretching
from myModules import check_range
# read arguments
if(len(sys.argv) != 7) :
print(sys.argv[0], ": takes 6 arguments. Not ", len(sys.argv)-1)
print("Expecting arguments: w1 h1 w2 h2 ImageIn ImageOut.")
p... | 29.818182 | 87 | 0.67937 |
90ca0253ed0ffcf91a885546b3815558edf47fb7 | 578 | py | Python | foxtrot/ui/components/debug.py | narfman0/foxtrot | ffcf9c4c0e01cda5ca65c4a3dd978a18cf762860 | [
"MIT"
] | null | null | null | foxtrot/ui/components/debug.py | narfman0/foxtrot | ffcf9c4c0e01cda5ca65c4a3dd978a18cf762860 | [
"MIT"
] | 14 | 2018-08-16T20:37:13.000Z | 2018-09-13T17:07:40.000Z | foxtrot/ui/components/debug.py | narfman0/foxtrot | ffcf9c4c0e01cda5ca65c4a3dd978a18cf762860 | [
"MIT"
] | null | null | null | import pyxel
def draw(screen):
draw_chunk_locations(screen)
draw_player_location(screen)
def draw_player_location(screen):
text = "%d,%d" % (screen.world.player.x, screen.world.player.y)
pyxel.text(4, pyxel.height - 12, text, 13)
def draw_chunk_locations(screen):
index = 0
for chunk in scr... | 25.130435 | 79 | 0.619377 |
1617181030fc454b3256421f893fac40b527eb65 | 5,246 | py | Python | sdk/resources/azure-mgmt-msi/azure/mgmt/msi/v2021_09_30_preview/operations/_system_assigned_identities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-01-24T08:54:57.000Z | 2022-01-24T08:54:57.000Z | sdk/resources/azure-mgmt-msi/azure/mgmt/msi/v2021_09_30_preview/operations/_system_assigned_identities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/resources/azure-mgmt-msi/azure/mgmt/msi/v2021_09_30_preview/operations/_system_assigned_identities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # pylint: disable=too-many-lines
# 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) AutoRe... | 39.149254 | 133 | 0.685856 |
e9f5d88afe099fb189fd46a72e613346623e89da | 2,390 | py | Python | src/cordial_gui/test/test_cordial_gui_pubs_and_subs.py | mayankpgupta/cordial | 4a0914b71cac017b94f282489383c9457bd083e3 | [
"MIT"
] | null | null | null | src/cordial_gui/test/test_cordial_gui_pubs_and_subs.py | mayankpgupta/cordial | 4a0914b71cac017b94f282489383c9457bd083e3 | [
"MIT"
] | 47 | 2020-07-15T00:10:18.000Z | 2021-06-09T02:49:51.000Z | src/cordial_gui/test/test_cordial_gui_pubs_and_subs.py | mayankpgupta/cordial | 4a0914b71cac017b94f282489383c9457bd083e3 | [
"MIT"
] | 5 | 2020-07-05T19:19:12.000Z | 2020-12-20T22:46:41.000Z | #!/usr/bin/env python
import rospy
import rostest
import rosunit
import time
import unittest
from cordial_msgs.msg import Display
from std_msgs.msg import Empty
PKG = "cordial_manager"
NAME = "test_cordial_gui_pubs_and_subs"
_GUI_NODE = "gui_controller"
_MOUSE_EVENT_TOPIC = rospy.get_param("cordial_gui/event/mouse_... | 27.790698 | 79 | 0.711297 |
5ffffa10f15bb1eae3c47cbdd2273231b62bc5d2 | 213 | py | Python | Darlington/phase2/LIST/day 39 solution/qtn3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Darlington/phase2/LIST/day 39 solution/qtn3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Darlington/phase2/LIST/day 39 solution/qtn3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | # program to get the largest number from a list.
def max_num_in_list( list ):
max = list[ 0 ]
for a in list:
if a > max:
max = a
return max
print(max_num_in_list([1, 2, -8, 0]))
| 23.666667 | 51 | 0.56338 |
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