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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9c98b5419ef51d74e2d7e47ae36323002d369066 | 7,617 | py | Python | competitions/avito-demand-prediction/base_xgb_tune_mthread.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | 19 | 2015-06-24T00:04:11.000Z | 2021-02-28T16:55:44.000Z | competitions/avito-demand-prediction/base_xgb_tune_mthread.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | null | null | null | competitions/avito-demand-prediction/base_xgb_tune_mthread.py | gtesei/fast-furious | b974e6b71be92ad8892864794af57631291ebac1 | [
"MIT"
] | 4 | 2016-10-11T17:36:44.000Z | 2019-08-16T10:03:04.000Z | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelEncoder
import re
from sklearn.feature_extraction import DictVectorizer
from sklearn.model_selection import train_test_split
import pandas as pd
from pandas.tseries.holiday import USFederalHolidayCalendar a... | 35.593458 | 112 | 0.495339 |
9c98d51c1433c4a39642bc8ab3e23a7db335e475 | 1,456 | py | Python | tests/program_test.py | stanfortonski/Perlin-Noise-3D-Voxel-Generator | f06b0329c948848b22b5e3c04978e95ce71f5ab0 | [
"MIT"
] | 27 | 2020-05-15T23:24:17.000Z | 2021-11-22T01:23:27.000Z | tests/program_test.py | stanfortonski/Perlin-Noise-3D-Voxel-Generator | f06b0329c948848b22b5e3c04978e95ce71f5ab0 | [
"MIT"
] | null | null | null | tests/program_test.py | stanfortonski/Perlin-Noise-3D-Voxel-Generator | f06b0329c948848b22b5e3c04978e95ce71f5ab0 | [
"MIT"
] | null | null | null | import sys, unittest, glfw
sys.path.insert(0, '..')
from OpenGL.GL import *
from engine.base.shader import Shader
from engine.base.program import *
import helper
if __name__ == '__main__':
unittest.main() | 32.355556 | 106 | 0.644231 |
9c9a7452e9e547327aec4a9da8b0f126d46152b2 | 1,253 | py | Python | movie_night/genrecollector.py | MattDrouin/movie_night | 4445b5fc66e7f7a5b2829142101d05dcf87a3227 | [
"MIT"
] | null | null | null | movie_night/genrecollector.py | MattDrouin/movie_night | 4445b5fc66e7f7a5b2829142101d05dcf87a3227 | [
"MIT"
] | null | null | null | movie_night/genrecollector.py | MattDrouin/movie_night | 4445b5fc66e7f7a5b2829142101d05dcf87a3227 | [
"MIT"
] | null | null | null | import aiohttp
import asyncio
# Grab the movie genre in a slightly painful way
| 26.104167 | 67 | 0.497207 |
9c9b489e028cbf9b38f6936d0fc0e18d8c7399d9 | 2,623 | py | Python | ML/WhatsApp/radar_chart.py | PepSalehi/algorithms | 1c20f57185e6324aa840ccff98e69764b4213131 | [
"MIT"
] | null | null | null | ML/WhatsApp/radar_chart.py | PepSalehi/algorithms | 1c20f57185e6324aa840ccff98e69764b4213131 | [
"MIT"
] | null | null | null | ML/WhatsApp/radar_chart.py | PepSalehi/algorithms | 1c20f57185e6324aa840ccff98e69764b4213131 | [
"MIT"
] | 1 | 2019-12-09T21:40:46.000Z | 2019-12-09T21:40:46.000Z | # core modules
from math import pi
# 3rd party modules
import matplotlib.pyplot as plt
import pandas as pd
# internal modules
import analysis
def create_radar_chart(df, cat_names=None):
"""
Parameters
----------
df : pandas.DataFrame
Has a column 'date'
"""
values = df['date'].to... | 27.904255 | 157 | 0.559283 |
9c9c644c1666b0d5fa37d62234243dadbc44f8cf | 1,894 | py | Python | LoggedSensor.py | majorpeter/puha-manager | fd51b560a7e1dad99204ae3c9c7369d17cbcfd32 | [
"MIT"
] | null | null | null | LoggedSensor.py | majorpeter/puha-manager | fd51b560a7e1dad99204ae3c9c7369d17cbcfd32 | [
"MIT"
] | 5 | 2018-07-29T19:55:27.000Z | 2018-09-08T17:39:48.000Z | LoggedSensor.py | majorpeter/puha-manager | fd51b560a7e1dad99204ae3c9c7369d17cbcfd32 | [
"MIT"
] | null | null | null | from datetime import datetime
from threading import Lock
from Database import Database
| 32.101695 | 104 | 0.586589 |
9c9dc2b48466cf77d6827d16eafaafb0b544703d | 1,046 | py | Python | tests/algorithms/sets/test_cartesian.py | maurobaraldi/python-algorithms | 94fe5e46737d6ea2f7ff62b5b61b7b9cca3fbd14 | [
"MIT"
] | 2 | 2018-11-05T17:12:40.000Z | 2019-09-05T17:10:01.000Z | tests/algorithms/sets/test_cartesian.py | maurobaraldi/python-algorithms | 94fe5e46737d6ea2f7ff62b5b61b7b9cca3fbd14 | [
"MIT"
] | null | null | null | tests/algorithms/sets/test_cartesian.py | maurobaraldi/python-algorithms | 94fe5e46737d6ea2f7ff62b5b61b7b9cca3fbd14 | [
"MIT"
] | 1 | 2019-01-02T19:07:51.000Z | 2019-01-02T19:07:51.000Z | #!/usr/bin/env python
import unittest
from algorithms.sets.cartesian_product import cartesian
if __name__ == '__main__':
unittest.main()
| 34.866667 | 122 | 0.630975 |
9c9e72363186eee33893fff1aebbb6657c6b8082 | 14,501 | py | Python | libs/sdc_etl_libs/aws_helpers/S3Data.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | null | null | null | libs/sdc_etl_libs/aws_helpers/S3Data.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | 3 | 2021-03-31T19:26:57.000Z | 2021-12-13T20:33:01.000Z | libs/sdc_etl_libs/aws_helpers/S3Data.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | null | null | null | import boto3
from botocore.exceptions import ClientError
import gzip
import io
import os
import csv
import re
def save_to_s3(self, data_string_):
"""
Saves data as a file in S3 bucket
:param data_string_: data to be saved
return: target_path
"""
encoded_data=data... | 40.058011 | 122 | 0.579064 |
9c9e9f62b13ea8939d24495e7e75ae788410b53b | 5,520 | py | Python | tests/test_models.py | thmslmr/timebomb-client | a57fdbb8bfc0157d2c3d713496ab4819fb33f1fd | [
"MIT"
] | 1 | 2020-03-31T17:17:40.000Z | 2020-03-31T17:17:40.000Z | tests/test_models.py | thmslmr/timebomb-client | a57fdbb8bfc0157d2c3d713496ab4819fb33f1fd | [
"MIT"
] | 2 | 2020-03-31T17:18:38.000Z | 2020-03-31T17:21:13.000Z | tests/test_models.py | thmslmr/timebomb-client | a57fdbb8bfc0157d2c3d713496ab4819fb33f1fd | [
"MIT"
] | null | null | null | from datetime import datetime
import timebomb.models as models
| 32.470588 | 87 | 0.661051 |
9ca0a611b163641ccd9e67b37966344da7a5eac2 | 1,801 | py | Python | words_in_sentences/admin.py | FatliTalk/learnenglish | f0393346f2e696b2af542c05e5005d2495f00e37 | [
"MIT"
] | 1 | 2021-10-06T12:40:28.000Z | 2021-10-06T12:40:28.000Z | words_in_sentences/admin.py | FatliTalk/learnenglish | f0393346f2e696b2af542c05e5005d2495f00e37 | [
"MIT"
] | null | null | null | words_in_sentences/admin.py | FatliTalk/learnenglish | f0393346f2e696b2af542c05e5005d2495f00e37 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Tag, Sentence, Review
admin.site.register(Tag)
admin.site.register(Sentence, SentenceAdmin)
| 23.38961 | 97 | 0.541921 |
9ca288ba9259937c8aeaac578a1dd9eb50715c34 | 1,930 | py | Python | scheduled_bots/scripts/add_ECO_evidence_code.py | turoger/scheduled-bots | 23fd30ccc242391151af3a1727f9fbf9dc95d433 | [
"MIT"
] | 6 | 2017-05-04T01:04:26.000Z | 2022-03-04T12:22:17.000Z | scheduled_bots/scripts/add_ECO_evidence_code.py | turoger/scheduled-bots | 23fd30ccc242391151af3a1727f9fbf9dc95d433 | [
"MIT"
] | 55 | 2017-03-14T21:16:44.000Z | 2022-03-02T12:39:14.000Z | scheduled_bots/scripts/add_ECO_evidence_code.py | turoger/scheduled-bots | 23fd30ccc242391151af3a1727f9fbf9dc95d433 | [
"MIT"
] | 13 | 2017-02-10T21:40:06.000Z | 2022-01-18T01:27:52.000Z | """
One off script to Map evidence codes between ECO and GO
https://github.com/evidenceontology/evidenceontology/blob/master/gaf-eco-mapping.txt
"""
import datetime
from wikidataintegrator import wdi_core, wdi_login
from scheduled_bots.local import WDPASS, WDUSER
login = wdi_login.WDLogin(WDUSER, WDPASS)
go_evidenc... | 58.484848 | 120 | 0.615544 |
9ca3e6cc572151c426dc39e7c0ad47e0d772a12a | 315 | py | Python | emenu/conftest.py | Ryszyy/emenu | 735e1e36580e26ba9b22609e461f06aab281aea7 | [
"MIT"
] | null | null | null | emenu/conftest.py | Ryszyy/emenu | 735e1e36580e26ba9b22609e461f06aab281aea7 | [
"MIT"
] | null | null | null | emenu/conftest.py | Ryszyy/emenu | 735e1e36580e26ba9b22609e461f06aab281aea7 | [
"MIT"
] | null | null | null | import pytest
from django.contrib.auth import get_user_model
from emenu.users.tests.factories import UserFactory
| 21 | 51 | 0.774603 |
9ca412a5e4887117f87a070c4624fcb1569c592d | 6,322 | py | Python | pychemia/population/_population.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | 1 | 2021-03-26T12:34:45.000Z | 2021-03-26T12:34:45.000Z | pychemia/population/_population.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | null | null | null | pychemia/population/_population.py | quanshengwu/PyChemia | 98e9f7a1118b694dbda3ee75411ff8f8d7b9688b | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import json
import numpy as np
from builtins import str
from abc import ABCMeta, abstractmethod
from pychemia import HAS_PYMONGO
from pychemia.utils.computing import deep_unicode
if HAS_PYMONGO:
from pychemia.db import PyChemiaDB
| 27.72807 | 107 | 0.607403 |
9ca437236746459609c5690cd68a04412ca8726f | 2,034 | py | Python | python/tests/test_nessie_cli.py | ryantse/nessie | c347d61ec7358fdc5759147cc6207143927246f3 | [
"Apache-2.0"
] | null | null | null | python/tests/test_nessie_cli.py | ryantse/nessie | c347d61ec7358fdc5759147cc6207143927246f3 | [
"Apache-2.0"
] | null | null | null | python/tests/test_nessie_cli.py | ryantse/nessie | c347d61ec7358fdc5759147cc6207143927246f3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `pynessie` package."""
import pytest
import requests_mock
import simplejson as json
from click.testing import CliRunner
from pynessie import __version__
from pynessie import cli
from pynessie.model import ReferenceSchema
def test_command_line_interface(reque... | 35.684211 | 90 | 0.69174 |
9ca439ec225fe16010ea11790d66c7004a6e42da | 129 | py | Python | dongtai_agent_python/context/__init__.py | luzhongyang/DongTai-agent-python-1 | f4e14afb136946809c5e84b7b163a8c32267a27a | [
"Apache-2.0"
] | 17 | 2021-11-13T11:57:10.000Z | 2022-03-26T12:45:30.000Z | dongtai_agent_python/context/__init__.py | luzhongyang/DongTai-agent-python-1 | f4e14afb136946809c5e84b7b163a8c32267a27a | [
"Apache-2.0"
] | 2 | 2021-11-08T07:43:38.000Z | 2021-12-09T02:23:46.000Z | dongtai_agent_python/context/__init__.py | luzhongyang/DongTai-agent-python-1 | f4e14afb136946809c5e84b7b163a8c32267a27a | [
"Apache-2.0"
] | 17 | 2021-11-02T08:21:57.000Z | 2022-02-19T13:24:36.000Z | from .request_context import RequestContext
from .tracker import ContextTracker
from .request import DjangoRequest, FlaskRequest
| 32.25 | 48 | 0.868217 |
9ca92489a95d5d6f10768832e66cdc6a00655f55 | 8,183 | py | Python | iaso/api/org_unit_search.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | 29 | 2020-12-26T07:22:19.000Z | 2022-03-07T13:40:09.000Z | iaso/api/org_unit_search.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | 150 | 2020-11-09T15:03:27.000Z | 2022-03-07T15:36:07.000Z | iaso/api/org_unit_search.py | BLSQ/iaso | 95c8087c0182bdd576598eb8cd39c440e58e15d7 | [
"MIT"
] | 4 | 2020-11-09T10:38:13.000Z | 2021-10-04T09:42:47.000Z | import re
from django.db.models import Q, Count, Sum, Case, When, IntegerField, Value
from iaso.models import OrgUnit, Instance, DataSource
| 37.365297 | 117 | 0.633142 |
9cab8a834e9e682c0ee397c003bc6bb100756a66 | 7,551 | py | Python | deep_NLP.py | AI-tist/NlpDeeplearning | 6d8b5b9d244fc49df00858023118318a2d4125d4 | [
"MIT"
] | null | null | null | deep_NLP.py | AI-tist/NlpDeeplearning | 6d8b5b9d244fc49df00858023118318a2d4125d4 | [
"MIT"
] | null | null | null | deep_NLP.py | AI-tist/NlpDeeplearning | 6d8b5b9d244fc49df00858023118318a2d4125d4 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import xgboost as xgb
from tqdm import tqdm
from sklearn.svm import SVC
from keras.models import Sequential
from keras.layers.recurrent import LSTM, GRU
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.embeddings import Embedding
from keras.layers.normali... | 33.411504 | 107 | 0.713283 |
9cac0ad4d3324c47506f3d542aa657ca67da7b25 | 81 | py | Python | cbt/apps.py | belloshehu/multiple-choice-questions | abfb7ac8cc24bc3f9ee34e9505bc6c6944786ac0 | [
"MIT"
] | null | null | null | cbt/apps.py | belloshehu/multiple-choice-questions | abfb7ac8cc24bc3f9ee34e9505bc6c6944786ac0 | [
"MIT"
] | 2 | 2020-09-03T21:48:33.000Z | 2020-09-22T08:51:14.000Z | cbt/apps.py | belloshehu/multiple-choice-questions | abfb7ac8cc24bc3f9ee34e9505bc6c6944786ac0 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 13.5 | 33 | 0.728395 |
9cac9b27985bf5baf54eb0058ab26de0a6a723b5 | 176 | py | Python | examples/python/src/authors/models.py | ShivamSarodia/sqlc | 194065e223a53d19219efb290a53b45fcd036a6b | [
"MIT"
] | 5,153 | 2019-08-19T19:24:06.000Z | 2022-03-31T22:26:53.000Z | examples/python/src/authors/models.py | ShivamSarodia/sqlc | 194065e223a53d19219efb290a53b45fcd036a6b | [
"MIT"
] | 871 | 2019-08-19T02:20:57.000Z | 2022-03-31T21:03:04.000Z | examples/python/src/authors/models.py | ShivamSarodia/sqlc | 194065e223a53d19219efb290a53b45fcd036a6b | [
"MIT"
] | 377 | 2019-09-04T07:27:09.000Z | 2022-03-31T21:54:45.000Z | # Code generated by sqlc. DO NOT EDIT.
import dataclasses
from typing import Optional
| 16 | 38 | 0.715909 |
9cacd9c2da031e3221ef68c08b555dad87d95e00 | 108 | py | Python | src/wagtail_site_inheritance/__init__.py | labd/wagtail-site-inheritance | 2d13de198a5b6354c49073dacb3964eef8e71647 | [
"MIT"
] | 5 | 2020-03-09T18:53:08.000Z | 2022-02-08T12:38:07.000Z | src/wagtail_site_inheritance/__init__.py | labd/wagtail-site-inheritance | 2d13de198a5b6354c49073dacb3964eef8e71647 | [
"MIT"
] | null | null | null | src/wagtail_site_inheritance/__init__.py | labd/wagtail-site-inheritance | 2d13de198a5b6354c49073dacb3964eef8e71647 | [
"MIT"
] | null | null | null | __version__ = "0.0.1"
default_app_config = "wagtail_site_inheritance.apps.WagtailSiteInheritanceAppConfig"
| 27 | 84 | 0.842593 |
9cadce2a65716efbbbaef6fb365b1a19a14d1464 | 779 | py | Python | code/mod.py | aragilar/python-testing | 312496a9016975d99230744e262799999740720b | [
"CC-BY-4.0"
] | null | null | null | code/mod.py | aragilar/python-testing | 312496a9016975d99230744e262799999740720b | [
"CC-BY-4.0"
] | null | null | null | code/mod.py | aragilar/python-testing | 312496a9016975d99230744e262799999740720b | [
"CC-BY-4.0"
] | null | null | null | import os.path
import numpy as np
| 18.116279 | 62 | 0.499358 |
9cade016723908e48e753e2ca24979b97411963e | 1,970 | py | Python | chooks/commands/add.py | thegedge/chooks | 1a5115d16f67d716206da456ee405a562a6df042 | [
"MIT"
] | null | null | null | chooks/commands/add.py | thegedge/chooks | 1a5115d16f67d716206da456ee405a562a6df042 | [
"MIT"
] | 1 | 2015-05-11T18:25:49.000Z | 2015-05-11T18:29:11.000Z | chooks/commands/add.py | thegedge/chooks | 1a5115d16f67d716206da456ee405a562a6df042 | [
"MIT"
] | null | null | null | """Adds a chook to a git repository.
Usage:
chooks add [--stdin | --argument] [--once | --filter=FILTER...] [--global]
[--fatal] [--hook=NAME...] [--name=NAME] [--disabled]
[--] <command> [<args>...]
Options:
--stdin Supply input files to this chook via stdin.
--filter=<filt... | 38.627451 | 79 | 0.601015 |
9cade33f66ce27c884971c2cb87a60d28b5e287f | 1,095 | py | Python | dwave/inspector/utils.py | hotmess47/dwave-inspector | b958ab0c2c943c8d55d610b5903cffd4b88a2dff | [
"Apache-2.0"
] | 3 | 2020-02-27T18:55:39.000Z | 2021-09-16T14:37:46.000Z | dwave/inspector/utils.py | hotmess47/dwave-inspector | b958ab0c2c943c8d55d610b5903cffd4b88a2dff | [
"Apache-2.0"
] | 46 | 2020-02-25T10:12:45.000Z | 2022-02-23T22:03:52.000Z | dwave/inspector/utils.py | hotmess47/dwave-inspector | b958ab0c2c943c8d55d610b5903cffd4b88a2dff | [
"Apache-2.0"
] | 11 | 2020-02-27T17:14:26.000Z | 2022-03-11T10:14:36.000Z | # Copyright 2020 D-Wave Systems 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 wri... | 27.375 | 79 | 0.702283 |
9caf4f6433bdc8722933884a9170248eea827c22 | 3,432 | py | Python | MakeConects.py | Gimba/AmberUtils | f10ccc474a4fa4ea3aa2d93f85b99e2bb8b5d3b0 | [
"MIT"
] | null | null | null | MakeConects.py | Gimba/AmberUtils | f10ccc474a4fa4ea3aa2d93f85b99e2bb8b5d3b0 | [
"MIT"
] | null | null | null | MakeConects.py | Gimba/AmberUtils | f10ccc474a4fa4ea3aa2d93f85b99e2bb8b5d3b0 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# Copyright (c) 2015 William Lees
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, m... | 41.349398 | 128 | 0.592657 |
9cb06ce3367f1f618bf6ef97ee8c9a3b4e22a068 | 481 | py | Python | supersalon/professionals/models.py | dogukantufekci/supersalon | 6ce552712d9d91fb493043030a09386544ed8b81 | [
"BSD-3-Clause"
] | null | null | null | supersalon/professionals/models.py | dogukantufekci/supersalon | 6ce552712d9d91fb493043030a09386544ed8b81 | [
"BSD-3-Clause"
] | null | null | null | supersalon/professionals/models.py | dogukantufekci/supersalon | 6ce552712d9d91fb493043030a09386544ed8b81 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
| 30.0625 | 116 | 0.704782 |
9cb27a0b9ec9facd3f25dae465a1a3f58269e3b3 | 1,882 | py | Python | test.py | imjacksonchen/weightTracker | 9dfdd9a943cfdc5148a5a15876df2f159b0623cf | [
"MIT"
] | null | null | null | test.py | imjacksonchen/weightTracker | 9dfdd9a943cfdc5148a5a15876df2f159b0623cf | [
"MIT"
] | null | null | null | test.py | imjacksonchen/weightTracker | 9dfdd9a943cfdc5148a5a15876df2f159b0623cf | [
"MIT"
] | null | null | null | import unittest
import datetime
from weightTrack import WeightNote
# main
if __name__ == "__main__":
unittest.main()
| 32.448276 | 70 | 0.600956 |
9cb339f88a19712fdd5c854216d9d0e7bc780ed9 | 22 | py | Python | networking_infoblox/neutron/cmd/eventlet/__init__.py | rav28/networking-infoblox | fce27ca1c2bafb9b0a90aa22388bbc2dbec68294 | [
"Apache-2.0"
] | null | null | null | networking_infoblox/neutron/cmd/eventlet/__init__.py | rav28/networking-infoblox | fce27ca1c2bafb9b0a90aa22388bbc2dbec68294 | [
"Apache-2.0"
] | 1 | 2021-11-20T19:39:58.000Z | 2021-11-20T19:39:58.000Z | networking_infoblox/neutron/cmd/eventlet/__init__.py | rav28/networking-infoblox | fce27ca1c2bafb9b0a90aa22388bbc2dbec68294 | [
"Apache-2.0"
] | 1 | 2021-11-20T19:37:55.000Z | 2021-11-20T19:37:55.000Z | __author__ = 'hhwang'
| 11 | 21 | 0.727273 |
9cb3f5cf51b8b20433b3b320d11d55ba5d9140d5 | 243 | py | Python | debauto/utils.py | flaviomilan/python-debauto-br | c776c9094b0fc380797360231d9d1574813b2852 | [
"MIT"
] | 5 | 2019-05-02T01:05:28.000Z | 2021-12-30T05:30:02.000Z | debauto/utils.py | flaviomilan/python-debauto-br | c776c9094b0fc380797360231d9d1574813b2852 | [
"MIT"
] | null | null | null | debauto/utils.py | flaviomilan/python-debauto-br | c776c9094b0fc380797360231d9d1574813b2852 | [
"MIT"
] | 2 | 2021-01-01T22:28:32.000Z | 2021-01-01T22:33:04.000Z | # -*- encoding: utf-8 -*-
import datetime
| 18.692308 | 62 | 0.613169 |
9cb50604a1507becdac54fdbcfd2fefb61cc2c48 | 1,105 | py | Python | docker-images/pysyft-worker/worker-server.py | linamnt/PySyft | 4b60a86c003acbe1967d6c3d611df3d5f2d377ee | [
"Apache-2.0"
] | 3 | 2020-11-24T05:15:57.000Z | 2020-12-07T09:52:45.000Z | docker-images/pysyft-worker/worker-server.py | linamnt/PySyft | 4b60a86c003acbe1967d6c3d611df3d5f2d377ee | [
"Apache-2.0"
] | 2 | 2020-03-09T09:17:06.000Z | 2020-04-09T13:33:12.000Z | docker-images/pysyft-worker/worker-server.py | linamnt/PySyft | 4b60a86c003acbe1967d6c3d611df3d5f2d377ee | [
"Apache-2.0"
] | 1 | 2022-03-06T06:22:21.000Z | 2022-03-06T06:22:21.000Z | import argparse
import torch
import syft as sy
from syft import WebsocketServerWorker
if __name__ == "__main__":
hook = sy.TorchHook(torch)
args = get_args()
kwargs = {
"id": args.id,
"host": args.host,
"port": args.port,
"hook": hook,
"verbose": args.verbose,
... | 25.113636 | 94 | 0.59819 |
9cb7bc1d4808741ef60b11b2ef895ca36d1c2b75 | 7,687 | py | Python | datageneration/dbmake_h264hits.py | utlive/VIDMAP | 60656d532ac497c1070f1c94c06807b2d57e2af4 | [
"Unlicense"
] | 1 | 2022-02-21T02:45:25.000Z | 2022-02-21T02:45:25.000Z | datageneration/dbmake_h264hits.py | utlive/VIDMAP | 60656d532ac497c1070f1c94c06807b2d57e2af4 | [
"Unlicense"
] | null | null | null | datageneration/dbmake_h264hits.py | utlive/VIDMAP | 60656d532ac497c1070f1c94c06807b2d57e2af4 | [
"Unlicense"
] | null | null | null | import skimage.io
import skvideo.io
import os
import h5py
from sklearn.externals import joblib
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import f1_score
import scipy.misc
import scipy.signal
import numpy as np
from sporco import util
import... | 34.013274 | 162 | 0.655392 |
9cb7df62cf935affe51b3c5e32536d465e8754d7 | 1,126 | py | Python | mopidy_mqtt/utils.py | odiroot/mopidy-mq | 7cefe3cbc3e3d8f741d887b8370e92ab47c0d493 | [
"Apache-2.0"
] | null | null | null | mopidy_mqtt/utils.py | odiroot/mopidy-mq | 7cefe3cbc3e3d8f741d887b8370e92ab47c0d493 | [
"Apache-2.0"
] | null | null | null | mopidy_mqtt/utils.py | odiroot/mopidy-mq | 7cefe3cbc3e3d8f741d887b8370e92ab47c0d493 | [
"Apache-2.0"
] | null | null | null | UNKNOWN = u''
def describe_track(track):
"""
Prepare a short human-readable Track description.
track (mopidy.models.Track): Track to source song data from.
"""
title = track.name or UNKNOWN
# Simple/regular case: normal song (e.g. from Spotify).
if track.artists:
artist = next(it... | 24.478261 | 72 | 0.617229 |
9cb959cded414dc66d1ee592c294e6008ab6b58b | 11,162 | py | Python | SimModel_Python_API/simmodel_swig/Release/SimInternalLoad_Lights_Default.py | EnEff-BIM/EnEffBIM-Framework | 6328d39b498dc4065a60b5cc9370b8c2a9a1cddf | [
"MIT"
] | 3 | 2016-05-30T15:12:16.000Z | 2022-03-22T08:11:13.000Z | SimModel_Python_API/simmodel_swig/Release/SimInternalLoad_Lights_Default.py | EnEff-BIM/EnEffBIM-Framework | 6328d39b498dc4065a60b5cc9370b8c2a9a1cddf | [
"MIT"
] | 21 | 2016-06-13T11:33:45.000Z | 2017-05-23T09:46:52.000Z | SimModel_Python_API/simmodel_swig/Release/SimInternalLoad_Lights_Default.py | EnEff-BIM/EnEffBIM-Framework | 6328d39b498dc4065a60b5cc9370b8c2a9a1cddf | [
"MIT"
] | null | null | null | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.7
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (2, 6, 0):
_SimInternalLoad_Lights_Default = swig_import_help... | 41.805243 | 139 | 0.760796 |
9cb99a5d200c09e89fd5f801960f8cb0d1f949ca | 1,925 | py | Python | ggpy/cruft/autocode/Test_CanonicalJSON.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | 1 | 2015-01-26T19:07:45.000Z | 2015-01-26T19:07:45.000Z | ggpy/cruft/autocode/Test_CanonicalJSON.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | null | null | null | ggpy/cruft/autocode/Test_CanonicalJSON.py | hobson/ggpy | 4e6e6e876c3a4294cd711647051da2d9c1836b60 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
""" generated source for module Test_CanonicalJSON """
# package: org.ggp.base.util.crypto
import junit.framework.TestCase
import org.ggp.base.util.crypto.CanonicalJSON.CanonicalizationStrategy
#
# * Unit tests for the CanonicalJSON class, which provides a
# * standard way for GGP systems t... | 56.617647 | 105 | 0.656623 |
9cbb4a2a9efa65411f4aa36bd270da45be788b3e | 3,217 | py | Python | python_app/tenhou-bot/mahjong/tile.py | 0xsuu/Project-Mahjong | e82edc67651ff93c8ec158b590cd728f28504be9 | [
"Apache-2.0"
] | 9 | 2018-06-08T00:09:08.000Z | 2021-11-17T11:05:11.000Z | python_app/tenhou-bot/mahjong/tile.py | 0xsuu/Project-Mahjong | e82edc67651ff93c8ec158b590cd728f28504be9 | [
"Apache-2.0"
] | 1 | 2020-04-25T12:43:26.000Z | 2020-04-25T12:43:26.000Z | python_app/tenhou-bot/mahjong/tile.py | 0xsuu/Project-Mahjong | e82edc67651ff93c8ec158b590cd728f28504be9 | [
"Apache-2.0"
] | 2 | 2019-05-30T07:18:45.000Z | 2019-11-05T09:15:13.000Z | # -*- coding: utf-8 -*-
| 27.973913 | 84 | 0.537146 |
9cbdcc9bd41342ec729fa4605f8c43d39b4c42ad | 461 | py | Python | python/chrysophylax/buy_and_hold.py | dichodaemon/chrysophylax | 834214e7d021643084be910d2b99bd7d18497faa | [
"MIT"
] | null | null | null | python/chrysophylax/buy_and_hold.py | dichodaemon/chrysophylax | 834214e7d021643084be910d2b99bd7d18497faa | [
"MIT"
] | null | null | null | python/chrysophylax/buy_and_hold.py | dichodaemon/chrysophylax | 834214e7d021643084be910d2b99bd7d18497faa | [
"MIT"
] | null | null | null | import garm.indicators as gari
import ham.time_utils as hamt
import ohlcv
import luigi
import strategies as chs
from luigi.util import inherits
| 24.263158 | 61 | 0.683297 |
9cbe11d37a19426b463bd6c4dcaa771e00215206 | 4,866 | py | Python | py2api/output_trans.py | andeaseme/py2api | 6d7a051543e9a63dbc14c43d83de643a61022e9e | [
"Apache-2.0"
] | 2 | 2019-08-29T01:35:09.000Z | 2020-03-31T18:49:50.000Z | py2api/output_trans.py | andeaseme/py2api | 6d7a051543e9a63dbc14c43d83de643a61022e9e | [
"Apache-2.0"
] | 1 | 2019-11-14T00:05:54.000Z | 2019-11-14T00:05:54.000Z | py2api/output_trans.py | andeaseme/py2api | 6d7a051543e9a63dbc14c43d83de643a61022e9e | [
"Apache-2.0"
] | 4 | 2018-07-19T16:50:11.000Z | 2020-06-08T15:27:44.000Z | from py2api.constants import TRANS_NOT_FOUND, _OUTPUT_TRANS, _ATTR, _VALTYPE, _ELSE
| 41.589744 | 109 | 0.480682 |
9cbf34bd2e80e0ed154936e5a0e7dad3b9986416 | 1,778 | py | Python | imageApi.py | draJiang/Figma-To-Eagle | f003f3fff664a6f3fe64c19462339d66d1129c29 | [
"MIT"
] | null | null | null | imageApi.py | draJiang/Figma-To-Eagle | f003f3fff664a6f3fe64c19462339d66d1129c29 | [
"MIT"
] | null | null | null | imageApi.py | draJiang/Figma-To-Eagle | f003f3fff664a6f3fe64c19462339d66d1129c29 | [
"MIT"
] | null | null | null | import pytesseract
import os
import time
import requests
import json
from PIL import Image,ImageFont,ImageDraw
#
with open('config.json') as json_file:
config = json.load(json_file)
#
MAIN_PATH = './imageApi/image/'
# FONT
FONT = config['font']
def strToImg(text,mainPath):
'''
'''
if(mainPath... | 23.090909 | 153 | 0.614736 |
9cbf5a147625facf6148e000945ed5b866447e87 | 804 | py | Python | level_11.py | ceafdc/PythonChallenge | fe4f64aabf1d6e672a06785538391dd16a03ad04 | [
"MIT"
] | 1 | 2018-01-20T17:58:10.000Z | 2018-01-20T17:58:10.000Z | level_11.py | ceafdc/PythonChallenge | fe4f64aabf1d6e672a06785538391dd16a03ad04 | [
"MIT"
] | null | null | null | level_11.py | ceafdc/PythonChallenge | fe4f64aabf1d6e672a06785538391dd16a03ad04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# url: http://www.pythonchallenge.com/pc/return/5808.html
import requests
import io
import PIL.Image
url = 'http://www.pythonchallenge.com/pc/return/cave.jpg'
un = 'huge'
pw = 'file'
auth = un, pw
req = requests.get(url, auth=auth)
img_io = io.BytesIO(req.content)
img = PIL.Image.open(img_io)
... | 21.157895 | 58 | 0.615672 |
9cc0a99af59fe409930941e63a1459a695a01a4f | 2,258 | py | Python | scripts/spark.py | Sapphirine/Reducing_Manufacturing_Failures | ee6fd6dba345997431cae30380150e3513cab58e | [
"Apache-2.0"
] | 4 | 2019-04-02T21:20:19.000Z | 2021-09-01T06:08:47.000Z | scripts/spark.py | Sapphirine/Reducing_Manufacturing_Failures | ee6fd6dba345997431cae30380150e3513cab58e | [
"Apache-2.0"
] | null | null | null | scripts/spark.py | Sapphirine/Reducing_Manufacturing_Failures | ee6fd6dba345997431cae30380150e3513cab58e | [
"Apache-2.0"
] | 3 | 2019-08-02T12:13:04.000Z | 2020-03-24T12:16:33.000Z |
# coding: utf-8
# ### Open using Databricks Platform/Py-spark. It holds the code for developing the RandomForest Classifier on the chosen subset of important features.
# In[1]:
import os, sys
import pandas as pd
import numpy as np
from sklearn.metrics import matthews_corrcoef
import pyspark
from numpy import array... | 27.876543 | 152 | 0.767493 |
9cc2352b704dd6477ce3defdff442d1b06e25a8f | 4,997 | py | Python | scripts/merge_map_blocks.py | ptrebert/reference-data | 7bca069b8995660252d4f601976f9f7abaaf063b | [
"MIT"
] | null | null | null | scripts/merge_map_blocks.py | ptrebert/reference-data | 7bca069b8995660252d4f601976f9f7abaaf063b | [
"MIT"
] | null | null | null | scripts/merge_map_blocks.py | ptrebert/reference-data | 7bca069b8995660252d4f601976f9f7abaaf063b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding=utf-8
import os as os
import sys as sys
import io as io
import traceback as trb
import argparse as argp
import gzip as gz
import operator as op
import functools as fnt
def parse_command_line():
"""
:return:
"""
parser = argp.ArgumentParser()
parser.add_argument('--... | 41.641667 | 118 | 0.454673 |
9cc4b83e0e4850879d9d17a7f64c101491943cb0 | 4,219 | py | Python | stockMarket/getData/models.py | seba-1511/stockMarket | cd571a89bca71f7c821d2b57328123e58e07347e | [
"MIT"
] | 10 | 2016-02-20T04:17:37.000Z | 2021-06-26T12:14:01.000Z | stockMarket/getData/models.py | seba-1511/stockMarket | cd571a89bca71f7c821d2b57328123e58e07347e | [
"MIT"
] | null | null | null | stockMarket/getData/models.py | seba-1511/stockMarket | cd571a89bca71f7c821d2b57328123e58e07347e | [
"MIT"
] | 4 | 2017-05-25T06:16:48.000Z | 2021-12-03T07:45:44.000Z | #-*- coding: utf-8 -*-
from django.db import models
# Create your models here.
| 26.534591 | 81 | 0.651813 |
9cc815b9d439805f37f2bd58858a3f7458d191de | 8,155 | py | Python | main.py | boxanm/CityRunHeatMaps | 8df90b86edab7e530c463000067f569f8e657ccf | [
"MIT"
] | 1 | 2019-09-14T06:58:36.000Z | 2019-09-14T06:58:36.000Z | main.py | boxanm/CityRunHeatMaps | 8df90b86edab7e530c463000067f569f8e657ccf | [
"MIT"
] | null | null | null | main.py | boxanm/CityRunHeatMaps | 8df90b86edab7e530c463000067f569f8e657ccf | [
"MIT"
] | null | null | null | import os.path
import datetime
import gpxpy
import osmnx
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import functions as functions
from collections import Counter, OrderedDict
import time
import math
import argparse
from customClasses import Cell
parser = argparse.ArgumentParser()
pa... | 36.900452 | 225 | 0.643164 |
9cc8a27b231af691d3fbf8c4702b4f91f01e88a2 | 6,728 | py | Python | scripts/ftp_mar_data.py | SmithB/SMBcorr | 7c35cf8383058986fd82b28beab3c5580f9f8667 | [
"MIT"
] | null | null | null | scripts/ftp_mar_data.py | SmithB/SMBcorr | 7c35cf8383058986fd82b28beab3c5580f9f8667 | [
"MIT"
] | null | null | null | scripts/ftp_mar_data.py | SmithB/SMBcorr | 7c35cf8383058986fd82b28beab3c5580f9f8667 | [
"MIT"
] | 1 | 2020-08-06T19:48:52.000Z | 2020-08-06T19:48:52.000Z | #!/usr/bin/env python
u"""
ftp_mar_data.py
Written by Tyler Sutterley (05/2020)
Syncs MAR regional climate outputs for a given ftp url
ftp://ftp.climato.be/fettweis
CALLING SEQUENCE:
python ftp_mar_data.py --directory=<path> <ftp://url>
INPUTS:
full ftp url
COMMAND LINE OPTIONS:
--help: list the com... | 36.765027 | 80 | 0.640012 |
9ccb29cee770a8f04a2031d1320f314942e54690 | 13,400 | py | Python | sondages/sondages_wiki_scrap.py | verycourt/Elections | b954c2bb23422e85d10074d41f7d2adc537a1766 | [
"MIT"
] | null | null | null | sondages/sondages_wiki_scrap.py | verycourt/Elections | b954c2bb23422e85d10074d41f7d2adc537a1766 | [
"MIT"
] | null | null | null | sondages/sondages_wiki_scrap.py | verycourt/Elections | b954c2bb23422e85d10074d41f7d2adc537a1766 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# encoding=utf8
import sys
reload(sys)
sys.setdefaultencoding('utf8')
import requests
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
import warnings
import dateparser
import datetime
import time
import json
from json import encoder
encoder.FLOAT_REPR = lambda o: format(o, '.1f'... | 35.356201 | 175 | 0.589552 |
9ccc9caa284546838f6e690c84b3287d39799b8f | 7,645 | py | Python | RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | # The following comments couldn't be translated into the new config version:
#
# keep only muon-related info here
#
import FWCore.ParameterSet.Config as cms
process = cms.Process("MISO")
process.load("Configuration.EventContent.EventContent_cff")
# service = MessageLogger {
# untracked vstring destination... | 71.448598 | 147 | 0.780379 |
9cce74ca65c4a70248a44251c279dedff70a0c3a | 220 | py | Python | app/egg/__init__.py | MultyXu/Islandr | 5f965638d0cda68e76f63b0625b2411029e90c2d | [
"MIT"
] | 2 | 2019-06-05T01:36:53.000Z | 2019-06-05T01:37:12.000Z | app/egg/__init__.py | dingding0606/Islandr | dd2277a8a7ceb002af3b28045133797fa9ffed9d | [
"MIT"
] | null | null | null | app/egg/__init__.py | dingding0606/Islandr | dd2277a8a7ceb002af3b28045133797fa9ffed9d | [
"MIT"
] | 1 | 2019-08-28T20:49:22.000Z | 2019-08-28T20:49:22.000Z | '''
@Description: Easter Egg
@Author: Tianyi Lu
@Date: 2019-08-10 10:30:29
@LastEditors: Tianyi Lu
@LastEditTime: 2019-08-10 10:36:24
'''
from flask import Blueprint
egg = Blueprint('egg', __name__)
from . import views | 18.333333 | 34 | 0.722727 |
9ccf4e8bda92837d4e656009c423fc5151a4c436 | 1,024 | py | Python | database/repositories/ModelBlobRepository.py | roblkenn/EECS441-Backend | 96fa0ca6775c13426dacdcbe1da02a8fa6e887ed | [
"RSA-MD"
] | null | null | null | database/repositories/ModelBlobRepository.py | roblkenn/EECS441-Backend | 96fa0ca6775c13426dacdcbe1da02a8fa6e887ed | [
"RSA-MD"
] | null | null | null | database/repositories/ModelBlobRepository.py | roblkenn/EECS441-Backend | 96fa0ca6775c13426dacdcbe1da02a8fa6e887ed | [
"RSA-MD"
] | null | null | null | from azure.storage.blob.baseblobservice import BaseBlobService
from azure.storage.blob.blockblobservice import BlockBlobService
from database.models.Blob import Blob
| 48.761905 | 186 | 0.783203 |
9cd03be08a58b5db01aa5e339f8033f2b9c3bad6 | 1,229 | py | Python | day03/puzzle2b.py | techrabbit58/AdventOfCode2020 | 9e0f4a633f50f5dd48186d38fe58ad8d40dff387 | [
"Unlicense"
] | 1 | 2020-12-15T22:27:38.000Z | 2020-12-15T22:27:38.000Z | day03/puzzle2b.py | techrabbit58/AdventOfCode2020 | 9e0f4a633f50f5dd48186d38fe58ad8d40dff387 | [
"Unlicense"
] | null | null | null | day03/puzzle2b.py | techrabbit58/AdventOfCode2020 | 9e0f4a633f50f5dd48186d38fe58ad8d40dff387 | [
"Unlicense"
] | null | null | null | """
Advent Of Code 2020. Day 03. Puzzle 2.
2nd approach, just to see if this may be faster.
It turns out, the first approach had been at least 3 times faster.
This second approach is slower. Hummm!
"""
import time
input_file = 'day03.txt'
TREE = '#'
SLOPES = [(1, 1), (3, 1), (5, 1), (7, 1), (1, 2)]
if __name__ ... | 25.081633 | 76 | 0.598047 |
9cd0d98d0b63b4259d4d0c7661566ba636ce4420 | 20,644 | py | Python | src/mvdef/import_util.py | lmmx/mvdef | c1e5002fbbcb3382025f2c6410767fee3ffe2500 | [
"MIT"
] | null | null | null | src/mvdef/import_util.py | lmmx/mvdef | c1e5002fbbcb3382025f2c6410767fee3ffe2500 | [
"MIT"
] | 42 | 2019-12-31T12:22:10.000Z | 2021-07-11T10:57:06.000Z | src/mvdef/import_util.py | lmmx/mvdef | c1e5002fbbcb3382025f2c6410767fee3ffe2500 | [
"MIT"
] | null | null | null | import ast
from ast import Import as IType, ImportFrom as IFType
from astor import to_source
from asttokens import ASTTokens
from .colours import colour_str as colour
from os import linesep as nl
from sys import stderr
__all__ = [
"get_import_stmt_str",
"multilinify_import_stmt_str",
"colour_imp_stmt",
... | 50.722359 | 87 | 0.653749 |
9cd18766a6cefc07e6ae4aced26c08d612cd472e | 384 | py | Python | tests/bench/test_yahoo_nyse_VRS.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/bench/test_yahoo_nyse_VRS.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/bench/test_yahoo_nyse_VRS.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import pyaf.Bench.TS_datasets as tsds
import pyaf.Bench.YahooStocks as ys
import warnings
symbol_lists = tsds.get_yahoo_symbol_lists();
y_keys = sorted(symbol_lists.keys())
print(y_keys)
k = "nysecomp"
tester = ys.cYahoo_Tester(tsds.load_yahoo_stock_prices(k) , "YAHOO_STOCKS_" + k);
with warnings.catch_warnings():
... | 29.538462 | 81 | 0.770833 |
9cd50d98408fbc789fcaead7d9f721fe9a6e105c | 1,376 | py | Python | fabric_utils/ci.py | selfpub-org/fabric-utils | ee5793d242a9525df8fca45a67f0042002f4a6ab | [
"BSD-3-Clause"
] | null | null | null | fabric_utils/ci.py | selfpub-org/fabric-utils | ee5793d242a9525df8fca45a67f0042002f4a6ab | [
"BSD-3-Clause"
] | 1 | 2018-05-31T13:41:38.000Z | 2018-05-31T13:41:38.000Z | fabric_utils/ci.py | selfpub-org/fabric-utils | ee5793d242a9525df8fca45a67f0042002f4a6ab | [
"BSD-3-Clause"
] | 1 | 2020-11-10T16:20:06.000Z | 2020-11-10T16:20:06.000Z | import os
from functools import wraps
from fabric.api import settings, warn
| 30.577778 | 85 | 0.62282 |
9cd79b368d2d4cdb843e42b4dcffedf36436d6a1 | 2,331 | py | Python | sandy/sections/mf35.py | AitorBengoechea/sandy | c55e4ee7b593389947a52e1adb85282dcb73dda3 | [
"MIT"
] | null | null | null | sandy/sections/mf35.py | AitorBengoechea/sandy | c55e4ee7b593389947a52e1adb85282dcb73dda3 | [
"MIT"
] | null | null | null | sandy/sections/mf35.py | AitorBengoechea/sandy | c55e4ee7b593389947a52e1adb85282dcb73dda3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This module contains a single public function:
* `read_mf35`
Function `read_mf35` reads a MF35/MT section from a string and produces a
content object with a dictionary-like structure.
The content object can be accessed using most of the keywords specified in
the ENDF6 manual for this s... | 34.279412 | 108 | 0.592879 |
9cd80afed190fb3c356c200fcfd34546c3bed147 | 29,748 | py | Python | src/pycropml/transpiler/antlr_py/parse.py | brichet/PyCrop2ML | 7177996f72a8d95fdbabb772a16f1fd87b1d033e | [
"MIT"
] | 5 | 2020-06-21T18:58:04.000Z | 2022-01-29T21:32:28.000Z | src/pycropml/transpiler/antlr_py/parse.py | brichet/PyCrop2ML | 7177996f72a8d95fdbabb772a16f1fd87b1d033e | [
"MIT"
] | 27 | 2018-12-04T15:35:44.000Z | 2022-03-11T08:25:03.000Z | src/pycropml/transpiler/antlr_py/parse.py | brichet/PyCrop2ML | 7177996f72a8d95fdbabb772a16f1fd87b1d033e | [
"MIT"
] | 7 | 2019-04-20T02:25:22.000Z | 2021-11-04T07:52:35.000Z | import pycropml.transpiler.antlr_py.grammars
from pycropml.transpiler.antlr_py.grammars.CSharpLexer import CSharpLexer
from pycropml.transpiler.antlr_py.grammars.CSharpParser import CSharpParser
from pycropml.transpiler.antlr_py.grammars.Fortran90Lexer import Fortran90Lexer
from pycropml.transpiler.antlr_py.grammars.F... | 35.797834 | 128 | 0.624849 |
9cd8ab1b3376a9a6e91e80aece04a51923c049ca | 10,351 | py | Python | nrgpy/convert/convert_rld.py | kyarazhan/nrgpy | 6a81af79ee4f666892d99a5f0713495bff89214b | [
"MIT"
] | null | null | null | nrgpy/convert/convert_rld.py | kyarazhan/nrgpy | 6a81af79ee4f666892d99a5f0713495bff89214b | [
"MIT"
] | null | null | null | nrgpy/convert/convert_rld.py | kyarazhan/nrgpy | 6a81af79ee4f666892d99a5f0713495bff89214b | [
"MIT"
] | null | null | null | try:
from nrgpy import logger
except ImportError:
pass
from datetime import datetime
import os
import subprocess
import time
import traceback
from nrgpy.api.convert import nrg_api_convert
from nrgpy.utils.utilities import check_platform, windows_folder_path, affirm_directory, count_files
nrg_convert_api = nr... | 35.088136 | 180 | 0.562651 |
9cd8b09c53d8ecf1b2984937b2ed05ef619c8318 | 23,127 | py | Python | gitea_api/models/timeline_comment.py | r7l/python-gitea-api | 31d3dba27ea7e551e2048a1230c4ab4d73365006 | [
"MIT"
] | 1 | 2022-02-09T23:43:26.000Z | 2022-02-09T23:43:26.000Z | gitea_api/models/timeline_comment.py | r7l/python-gitea-api | 31d3dba27ea7e551e2048a1230c4ab4d73365006 | [
"MIT"
] | null | null | null | gitea_api/models/timeline_comment.py | r7l/python-gitea-api | 31d3dba27ea7e551e2048a1230c4ab4d73365006 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Gitea API.
This documentation describes the Gitea API. # noqa: E501
OpenAPI spec version: 1.16.7
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
def to_str(self):
"""Returns the string repre... | 27.434164 | 519 | 0.598564 |
9cd8b67231efc3277946220bc2baea81f196997d | 686 | py | Python | Blasting/Start.py | Erosion2020/SpaceCore | ba81bf1913461a200f9e88acb7d0d91d7deda8e8 | [
"MIT"
] | 4 | 2022-03-22T08:21:52.000Z | 2022-03-23T12:58:17.000Z | Blasting/Start.py | Erosion2020/SpaceCore | ba81bf1913461a200f9e88acb7d0d91d7deda8e8 | [
"MIT"
] | null | null | null | Blasting/Start.py | Erosion2020/SpaceCore | ba81bf1913461a200f9e88acb7d0d91d7deda8e8 | [
"MIT"
] | null | null | null | import Blasting
name = "Blasting"
input_message = f"[{name} #]"
| 23.655172 | 86 | 0.41691 |
9cd8dd0d174f6ca548c62ed627de0eb3a16baa55 | 379 | py | Python | events/migrations/0040_event_team_size.py | horacexd/clist | 9759dfea97b86514bec9825d2430abc36decacf0 | [
"Apache-2.0"
] | 166 | 2019-05-16T23:46:08.000Z | 2022-03-31T05:20:23.000Z | events/migrations/0040_event_team_size.py | horacexd/clist | 9759dfea97b86514bec9825d2430abc36decacf0 | [
"Apache-2.0"
] | 92 | 2020-01-18T22:51:53.000Z | 2022-03-12T01:23:57.000Z | events/migrations/0040_event_team_size.py | VadVergasov/clist | 4afcdfe88250d224043b28efa511749347cec71c | [
"Apache-2.0"
] | 23 | 2020-02-09T17:38:43.000Z | 2021-12-09T14:39:07.000Z | # Generated by Django 2.2.10 on 2020-04-03 19:10
from django.db import migrations, models
| 19.947368 | 49 | 0.591029 |
9cd9c5db682a634d72e6f3ad900937179bb19d00 | 1,303 | py | Python | src/origin_ledger_sdk/batch.py | project-origin/ledger-sdk-python | 46212e17e19f1d534c1717d3f3714f791731adea | [
"MIT"
] | null | null | null | src/origin_ledger_sdk/batch.py | project-origin/ledger-sdk-python | 46212e17e19f1d534c1717d3f3714f791731adea | [
"MIT"
] | null | null | null | src/origin_ledger_sdk/batch.py | project-origin/ledger-sdk-python | 46212e17e19f1d534c1717d3f3714f791731adea | [
"MIT"
] | null | null | null | from enum import Enum
from typing import List
from sawtooth_sdk.protobuf.batch_pb2 import BatchHeader
from sawtooth_sdk.protobuf.batch_pb2 import Batch as SignedBatch
from .requests import AbstractRequest
from .requests.helpers import get_signer
| 30.302326 | 101 | 0.707598 |
9cda6fa4db3a1a7b7de2d18f55af0184ab0c8ffc | 1,290 | py | Python | pybud/tests/search_algos.py | Tantan4321/PyBud | 7f9ac026f0b04296ffaa7fad9f905c1374ba7008 | [
"MIT"
] | 11 | 2020-01-23T08:30:15.000Z | 2022-02-11T04:12:30.000Z | pybud/tests/search_algos.py | Tantan4321/PyBud | 7f9ac026f0b04296ffaa7fad9f905c1374ba7008 | [
"MIT"
] | 5 | 2020-02-15T16:44:24.000Z | 2022-01-13T02:07:48.000Z | pybud/tests/search_algos.py | Tantan4321/PyBud | 7f9ac026f0b04296ffaa7fad9f905c1374ba7008 | [
"MIT"
] | 3 | 2020-02-15T16:30:02.000Z | 2020-08-19T06:58:35.000Z | # Implemented from: https://stackoverflow.com/questions/9501337/binary-search-algorithm-in-python
# Implemented from: https://pythoninwonderland.wordpress.com/2017/03/18/how-to-implement-breadth-first-search-in-python/
| 30 | 120 | 0.599225 |
9cdaf7e31350059d27162184ea87fbd63d36f82d | 409 | py | Python | dust/exe.py | tanico-rikudo/raspi4 | ead6064ee5eaf0fb3459487047903aeb031189b7 | [
"MIT"
] | null | null | null | dust/exe.py | tanico-rikudo/raspi4 | ead6064ee5eaf0fb3459487047903aeb031189b7 | [
"MIT"
] | null | null | null | dust/exe.py | tanico-rikudo/raspi4 | ead6064ee5eaf0fb3459487047903aeb031189b7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import RPi.GPIO as GPIO
import time
from datetime import datetime as dt
import logging
import json
import sys
from particle_counter import ParticleCounter
# Make instance
device001 = ParticleCounter(30)
# Set signal pin
device001.set_pin_number(PIN=14)
# Excute
devic... | 16.36 | 45 | 0.753056 |
9cdb60e1aaf4a83afb78be721e50868f4655f336 | 7,548 | py | Python | localization/pipeline/InstLoc.py | cameronwp/MMGIS | 5e6277bd4f0c8ff77cd12dce51d41abffe0ac394 | [
"Apache-2.0",
"Unlicense"
] | 63 | 2019-03-28T18:46:55.000Z | 2022-03-25T02:49:24.000Z | localization/pipeline/InstLoc.py | cameronwp/MMGIS | 5e6277bd4f0c8ff77cd12dce51d41abffe0ac394 | [
"Apache-2.0",
"Unlicense"
] | 75 | 2019-10-14T08:54:18.000Z | 2022-03-30T02:33:29.000Z | localization/pipeline/InstLoc.py | cameronwp/MMGIS | 5e6277bd4f0c8ff77cd12dce51d41abffe0ac394 | [
"Apache-2.0",
"Unlicense"
] | 15 | 2019-12-15T11:26:01.000Z | 2022-03-25T02:49:27.000Z | #! /usr/local/msl/bin/python
#******************************************************************************
# InstLoc.py <image.IMG/VIC>
#
# Project: Instrument Loco String for a given file
# Purpose: Localizations stored in python dictionary
#
# Author: Hallie Gengl
#
# Updated: 8/24/1... | 36.640777 | 96 | 0.631028 |
9cdba0c221d3aaee83d43e1867607d88a6d826b5 | 4,758 | py | Python | bdpy/fig/fig.py | kencan7749/bdpy | 75b909742aa4767f09823cc98a588c41848292a9 | [
"MIT"
] | null | null | null | bdpy/fig/fig.py | kencan7749/bdpy | 75b909742aa4767f09823cc98a588c41848292a9 | [
"MIT"
] | null | null | null | bdpy/fig/fig.py | kencan7749/bdpy | 75b909742aa4767f09823cc98a588c41848292a9 | [
"MIT"
] | null | null | null | '''Figure module
This file is a part of BdPy.
Functions
---------
makefigure
Create a figure
box_off
Remove upper and right axes
draw_footnote
Draw footnote on a figure
'''
__all__ = [
'box_off',
'draw_footnote',
'make_violinplots',
'makefigure',
]
import matplotlib.pyplot as plt
impo... | 29.924528 | 170 | 0.579235 |
9cdd5ffeb6cda836bfae0ca4a1ca1728228423f7 | 6,875 | py | Python | brain/mastermind.py | pabvald/chatbot | 17cdbce4c51eebb27dd0aa090fb9634868eb3e64 | [
"MIT"
] | null | null | null | brain/mastermind.py | pabvald/chatbot | 17cdbce4c51eebb27dd0aa090fb9634868eb3e64 | [
"MIT"
] | null | null | null | brain/mastermind.py | pabvald/chatbot | 17cdbce4c51eebb27dd0aa090fb9634868eb3e64 | [
"MIT"
] | 1 | 2020-10-29T13:38:26.000Z | 2020-10-29T13:38:26.000Z | from app import app, nlp
from brain import ACTIONS, LANGUAGES
from dateparser import parse
from datetime import datetime, date
from services import UserService, IntentService, AppointmentService
from utils import get_content
| 39.285714 | 112 | 0.620945 |
9cdd6d64010e9c068a5d368c4a2af2b0acb6a55f | 628 | py | Python | isValidParentheses.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | isValidParentheses.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | isValidParentheses.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null |
test = Solution()
print test.isValidParentheses("(A)[]{}") | 33.052632 | 65 | 0.488854 |
9cde9f8cf5534efc1b5cec7d28cf00865e25ee25 | 113 | py | Python | fpakman/core/resource.py | vinifmor/fpakman | a719991b8f7ecf366d44fdf074f5950767bdf121 | [
"Zlib"
] | 39 | 2019-06-15T08:27:12.000Z | 2021-11-08T03:33:01.000Z | fpakman/core/resource.py | vinifmor/fpakman | a719991b8f7ecf366d44fdf074f5950767bdf121 | [
"Zlib"
] | 10 | 2019-06-16T12:16:19.000Z | 2020-06-21T18:49:05.000Z | fpakman/core/resource.py | vinifmor/fpakman | a719991b8f7ecf366d44fdf074f5950767bdf121 | [
"Zlib"
] | 3 | 2019-08-01T12:38:46.000Z | 2020-04-30T20:40:23.000Z |
from fpakman import ROOT_DIR
| 16.142857 | 51 | 0.752212 |
9ce11bf87b067840337b0d13348e056b624caea2 | 602 | py | Python | studygroups/migrations/0122_auto_20190710_0605.py | p2pu/learning-circles | ccd94208ec18082f8fda6d7f21eacdd71bad6023 | [
"MIT"
] | 10 | 2016-05-03T20:41:25.000Z | 2021-09-17T18:42:01.000Z | studygroups/migrations/0122_auto_20190710_0605.py | p2pu/learning-circles | ccd94208ec18082f8fda6d7f21eacdd71bad6023 | [
"MIT"
] | 655 | 2016-05-04T19:00:35.000Z | 2022-03-28T13:09:20.000Z | studygroups/migrations/0122_auto_20190710_0605.py | p2pu/learning-circles | ccd94208ec18082f8fda6d7f21eacdd71bad6023 | [
"MIT"
] | 8 | 2016-05-06T10:24:27.000Z | 2020-10-21T00:56:59.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2019-07-10 06:05
from __future__ import unicode_literals
from django.db import migrations, models
| 24.08 | 52 | 0.619601 |
9ce1c5f0534fa4d2972cf58a4d700be2541a140d | 244 | py | Python | rllib/contrib/bandits/envs/__init__.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 21,382 | 2016-09-26T23:12:52.000Z | 2022-03-31T21:47:45.000Z | rllib/contrib/bandits/envs/__init__.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 19,689 | 2016-09-17T08:21:25.000Z | 2022-03-31T23:59:30.000Z | rllib/contrib/bandits/envs/__init__.py | firebolt55439/ray | 215300b070628c06f0106906fc6c03bd70ebf140 | [
"Apache-2.0"
] | 4,114 | 2016-09-23T18:54:01.000Z | 2022-03-31T15:07:32.000Z | from ray.rllib.contrib.bandits.envs.discrete import LinearDiscreteEnv, \
WheelBanditEnv
from ray.rllib.contrib.bandits.envs.parametric import ParametricItemRecoEnv
__all__ = ["LinearDiscreteEnv", "WheelBanditEnv", "ParametricItemRecoEnv"]
| 40.666667 | 75 | 0.82377 |
9ce27cc5df514eb99788d3adf40ed089c2be01cc | 3,770 | py | Python | cell.py | reachtarunhere/S-LSTM-PyTorch | 72d5ffd0e0b3ac4670d1fd766232253f34b4afa3 | [
"MIT"
] | 5 | 2018-06-18T17:27:54.000Z | 2020-06-15T15:24:06.000Z | cell.py | reachtarunhere/S-LSTM-PyTorch | 72d5ffd0e0b3ac4670d1fd766232253f34b4afa3 | [
"MIT"
] | null | null | null | cell.py | reachtarunhere/S-LSTM-PyTorch | 72d5ffd0e0b3ac4670d1fd766232253f34b4afa3 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
| 33.362832 | 78 | 0.644032 |
9ce50f572810c32e69e17aa3bf4ed997493d6ef2 | 94 | py | Python | python/comparatist/gcm/jlloop.py | tkf/comparatist | 44f30077857fc96cb77539f3fe0a7e8112f86c82 | [
"MIT"
] | null | null | null | python/comparatist/gcm/jlloop.py | tkf/comparatist | 44f30077857fc96cb77539f3fe0a7e8112f86c82 | [
"MIT"
] | null | null | null | python/comparatist/gcm/jlloop.py | tkf/comparatist | 44f30077857fc96cb77539f3fe0a7e8112f86c82 | [
"MIT"
] | null | null | null | from ..utils.jl import make_prepare
prepare = make_prepare("Comparatist.Simulators.gcm.loop")
| 31.333333 | 57 | 0.808511 |
9ce55c50d74882644904a8b52bbb361eba5b3fff | 1,268 | py | Python | 016_3Sum_Closest.py | adwardlee/leetcode_solutions | f386869161181e153e29165d8fff06492bb192f3 | [
"MIT"
] | null | null | null | 016_3Sum_Closest.py | adwardlee/leetcode_solutions | f386869161181e153e29165d8fff06492bb192f3 | [
"MIT"
] | null | null | null | 016_3Sum_Closest.py | adwardlee/leetcode_solutions | f386869161181e153e29165d8fff06492bb192f3 | [
"MIT"
] | null | null | null | '''
Given an array nums of n integers and an integer target, find three integers in nums such that the sum is closest to target. Return the sum of the three integers. You may assume that each input would have exactly one solution.
Example:
Given array nums = [-1, 2, 1, -4], and target = 1.
The sum that is closest to... | 34.27027 | 226 | 0.479495 |
9ce645cd6acd7ce6fe1f285499eaccb37cd50da8 | 7,279 | py | Python | generated-libraries/python/netapp/flexcache/flexcache_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | 2 | 2017-03-28T15:31:26.000Z | 2018-08-16T22:15:18.000Z | generated-libraries/python/netapp/flexcache/flexcache_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | generated-libraries/python/netapp/flexcache/flexcache_info.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | from netapp.netapp_object import NetAppObject
| 31.647826 | 99 | 0.583322 |
9ce68b411a96e5e2c7a762c40c8ad6b8d2a605b8 | 5,974 | py | Python | corpus2graph/word_processor.py | zzcoolj/corpus2graph | 0d39f5f845b70a0f42000e3afc507eb7b4b5679c | [
"MIT"
] | 27 | 2018-06-06T16:30:45.000Z | 2022-02-10T15:28:47.000Z | corpus2graph/word_processor.py | zzcoolj/corpus2graph | 0d39f5f845b70a0f42000e3afc507eb7b4b5679c | [
"MIT"
] | 2 | 2019-05-01T15:24:12.000Z | 2019-08-20T20:17:19.000Z | corpus2graph/word_processor.py | zzcoolj/corpus2graph | 0d39f5f845b70a0f42000e3afc507eb7b4b5679c | [
"MIT"
] | 3 | 2019-11-10T15:39:11.000Z | 2020-10-16T12:40:06.000Z | import string
import warnings
import re
from . import util
import spacy
| 38.541935 | 133 | 0.600603 |
9ce7bfb4241f59939bdcb06aabfa03be7b8bc555 | 4,688 | py | Python | gaussian/__init__.py | mattaustin/gaussian | c22ab36fd83e5f0b24587861ef34b872e268c97e | [
"Apache-2.0"
] | 1 | 2017-06-04T23:56:54.000Z | 2017-06-04T23:56:54.000Z | gaussian/__init__.py | mattaustin/gaussian | c22ab36fd83e5f0b24587861ef34b872e268c97e | [
"Apache-2.0"
] | null | null | null | gaussian/__init__.py | mattaustin/gaussian | c22ab36fd83e5f0b24587861ef34b872e268c97e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2014 Matt Austin
# 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 ... | 32.331034 | 79 | 0.62884 |
9ce7d60aa1fddaa6c915b248970c026594e52b7a | 614 | py | Python | Exercise_07_RGB_LED.py | NaimFuad/hibiscus-sense-micropython-1 | 7475b6099315b4a12ab00f7ae5d62a2eb8ce5e0c | [
"MIT"
] | 3 | 2021-03-04T08:20:24.000Z | 2022-02-11T10:04:03.000Z | Exercise_07_RGB_LED.py | NaimFuad/hibiscus-sense-micropython-1 | 7475b6099315b4a12ab00f7ae5d62a2eb8ce5e0c | [
"MIT"
] | null | null | null | Exercise_07_RGB_LED.py | NaimFuad/hibiscus-sense-micropython-1 | 7475b6099315b4a12ab00f7ae5d62a2eb8ce5e0c | [
"MIT"
] | 2 | 2021-02-26T10:15:57.000Z | 2021-03-04T08:20:36.000Z | # Hibiscus Sense - Exercise 07 RGB LED
#
# There is 1x RGB LED.
# This RGB LED is connected to GPIO16 and integrated with WS2812.
# WS2812 is an LED controller, which use single-wire control protocol to control the LEDs.
from machine import Pin
from neopixel import NeoPixel
from time import sleep
p... | 27.909091 | 93 | 0.664495 |
9cea6c24623ad5445462ff6b79263e46ed1d41ac | 4,082 | py | Python | tests/k8s/k8s_test_utilities.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 132 | 2016-10-19T12:34:44.000Z | 2022-03-16T09:00:39.000Z | tests/k8s/k8s_test_utilities.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 3,152 | 2016-09-21T23:05:58.000Z | 2022-03-31T23:29:08.000Z | tests/k8s/k8s_test_utilities.py | shubav/sonic-mgmt | 0ff71b907a55489bb4ed7d17b1682380fd459bf2 | [
"Apache-2.0"
] | 563 | 2016-09-20T01:00:15.000Z | 2022-03-31T22:43:54.000Z | import logging
import time
from tests.common.helpers.assertions import pytest_assert
logger = logging.getLogger(__name__)
def join_master(duthost, master_vip):
"""
Joins DUT to Kubernetes master
Args:
duthost: DUT host object
master_vip: VIP of high availability Kubernetes master
If... | 37.449541 | 133 | 0.706516 |
9cea6c5884c806c3032a4309da7131c515de5453 | 2,467 | py | Python | registryServer/apps/account/api.py | HumanDynamics/openPDS-RegistryServer | fe88f513a93c116f6bd4e2d81b29376a45f16249 | [
"MIT"
] | 7 | 2015-01-05T17:25:15.000Z | 2019-06-07T05:19:53.000Z | registryServer/apps/account/api.py | HumanDynamics/openPDS-RegistryServer | fe88f513a93c116f6bd4e2d81b29376a45f16249 | [
"MIT"
] | 1 | 2015-11-10T17:16:01.000Z | 2015-11-18T16:09:43.000Z | registryServer/apps/account/api.py | HumanDynamics/openPDS-RegistryServer | fe88f513a93c116f6bd4e2d81b29376a45f16249 | [
"MIT"
] | 13 | 2015-01-05T17:25:20.000Z | 2021-12-16T12:43:52.000Z | from django.contrib.auth.models import User
from apps.account.models import Profile, Group
from tastypie import fields
from tastypie.authorization import DjangoAuthorization, Authorization
from tastypie.resources import ModelResource, ALL, ALL_WITH_RELATIONS
from tastypie.exceptions import BadRequest
from django.db imp... | 39.15873 | 91 | 0.691934 |
9ceb3e1ccabd70fddbc1a71f663a553a5c834729 | 6,253 | bzl | Python | rules/workspace/def.bzl | viovanov/kubecf | a8e1a1c4775b9cab072c286a99ec6140bc867eff | [
"Apache-2.0"
] | null | null | null | rules/workspace/def.bzl | viovanov/kubecf | a8e1a1c4775b9cab072c286a99ec6140bc867eff | [
"Apache-2.0"
] | null | null | null | rules/workspace/def.bzl | viovanov/kubecf | a8e1a1c4775b9cab072c286a99ec6140bc867eff | [
"Apache-2.0"
] | 1 | 2020-08-18T09:10:43.000Z | 2020-08-18T09:10:43.000Z | """An extension for workspace rules."""
load("@bazel_skylib//lib:paths.bzl", "paths")
load("//:dependencies.bzl", "dependencies")
_workspace_dependencies = repository_rule(_workspace_dependencies_impl)
_WORKSPACE_DEPENDENCIES_REPOSITORY_NAME = "workspace_dependencies"
def workspace_dependencies():
"""A macro fo... | 34.932961 | 98 | 0.621142 |
9ceb4adfae2836973eb415f54317fb6036b876ab | 2,010 | py | Python | tests/surftrace_test.py | aliyun/surftrace | c3e7856d69c1f73cec5bb2b0f4d41a35b2ff63b1 | [
"MIT"
] | 32 | 2021-12-27T11:54:37.000Z | 2022-03-25T05:14:51.000Z | tests/surftrace_test.py | aliyun/surftrace | c3e7856d69c1f73cec5bb2b0f4d41a35b2ff63b1 | [
"MIT"
] | 8 | 2022-01-07T02:29:05.000Z | 2022-03-02T08:16:09.000Z | tests/surftrace_test.py | aliyun/surftrace | c3e7856d69c1f73cec5bb2b0f4d41a35b2ff63b1 | [
"MIT"
] | 10 | 2022-01-05T11:41:14.000Z | 2022-03-22T08:46:00.000Z | # -*- coding: utf-8 -*-
"""
-------------------------------------------------
File Name surftrace_test.py
Description :
Author : liaozhaoyan
date 2022/2/27
-------------------------------------------------
Change Activity:
2022/2/27:
---------------------------------... | 28.714286 | 225 | 0.571144 |
9ced7b3c51ed7b3bb5bdd6b331b57b879e9a8dab | 834 | py | Python | backend/secure_backend/models.py | CS-twop/Secure-django-reacthook | 3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17 | [
"MIT"
] | null | null | null | backend/secure_backend/models.py | CS-twop/Secure-django-reacthook | 3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17 | [
"MIT"
] | null | null | null | backend/secure_backend/models.py | CS-twop/Secure-django-reacthook | 3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
| 36.26087 | 88 | 0.721823 |
9ceda4c07b42ed0db1090dd1d2bfcc6805e799d2 | 560 | py | Python | tests/test_database.py | horsewithnoname1985/packit-app | afe83472f092ff1447ae8ae56c99d78792d5bc59 | [
"MIT"
] | null | null | null | tests/test_database.py | horsewithnoname1985/packit-app | afe83472f092ff1447ae8ae56c99d78792d5bc59 | [
"MIT"
] | null | null | null | tests/test_database.py | horsewithnoname1985/packit-app | afe83472f092ff1447ae8ae56c99d78792d5bc59 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `database` module."""
import pytest
import os
import sqlite3
from packit_app.database import Database
| 23.333333 | 60 | 0.725 |
9ceeadf5aa7e878adeab42926d0d1a41ef275e04 | 3,943 | py | Python | SS-GCNs/gnns/gin_net.py | TAMU-VITA/SS-GCNs | 644f8a5f3b507be6d59be02747be406fabd8b8f9 | [
"MIT"
] | 1 | 2021-06-07T15:18:10.000Z | 2021-06-07T15:18:10.000Z | SS-GCNs/gnns/gin_net.py | TAMU-VITA/SS-GCNs | 644f8a5f3b507be6d59be02747be406fabd8b8f9 | [
"MIT"
] | null | null | null | SS-GCNs/gnns/gin_net.py | TAMU-VITA/SS-GCNs | 644f8a5f3b507be6d59be02747be406fabd8b8f9 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from dgl.nn.pytorch.glob import SumPooling, AvgPooling, MaxPooling
"""
GIN: Graph Isomorphism Networks
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (Keyulu Xu, Weihua Hu, Jure Leskovec and Stefanie Jegelka, ICLR 2019)
https://arxiv.o... | 33.700855 | 113 | 0.584834 |
9cef8673569c093f97353e11647a929d7f02a79c | 96 | py | Python | venv/lib/python3.8/site-packages/clikit/api/command/command_collection.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/clikit/api/command/command_collection.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/clikit/api/command/command_collection.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/0e/03/a2/8516ce170f58c40a340c994a5cb76273f276d7ad1ea824422b51c9e45c | 96 | 96 | 0.895833 |
9cf04e104c24bd87afecb5f1f99c9dd473ed1508 | 5,080 | py | Python | common/py_vulcanize/third_party/rjsmin/_setup/py2/data.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | common/py_vulcanize/third_party/rjsmin/_setup/py2/data.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 4,640 | 2015-07-08T16:19:08.000Z | 2019-12-02T15:01:27.000Z | common/py_vulcanize/third_party/rjsmin/_setup/py2/data.py | tingshao/catapult | a8fe19e0c492472a8ed5710be9077e24cc517c5c | [
"BSD-3-Clause"
] | 698 | 2015-06-02T19:18:35.000Z | 2022-03-29T16:57:15.000Z | # -*- coding: ascii -*-
#
# Copyright 2007, 2008, 2009, 2010, 2011
# Andr\xe9 Malo or his licensors, as applicable
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.or... | 30.60241 | 75 | 0.598622 |
9cf45647d9d8c0126932e004da932d00ac6a9682 | 189 | py | Python | payments/urls.py | caocmai/maker | bec025c3301a21e75638aca28576c724b44e259f | [
"MIT"
] | null | null | null | payments/urls.py | caocmai/maker | bec025c3301a21e75638aca28576c724b44e259f | [
"MIT"
] | 8 | 2020-06-06T01:12:07.000Z | 2021-06-10T19:38:47.000Z | payments/urls.py | caocmai/Maker | bec025c3301a21e75638aca28576c724b44e259f | [
"MIT"
] | 1 | 2020-03-05T08:11:39.000Z | 2020-03-05T08:11:39.000Z | from django.urls import path
from . import views
urlpatterns = [
path('charge/', views.charge, name='charge'),
path('payment/', views.HomePageView.as_view(), name='payment'),
]
| 17.181818 | 67 | 0.671958 |
9cf644b1b80793072b365bad95258387b0ed2c8b | 122 | py | Python | cdc/src/__init__.py | ZebinKang/cdc | a32fe41892021d29a1d9c534728a92b67f9b6cea | [
"MIT"
] | null | null | null | cdc/src/__init__.py | ZebinKang/cdc | a32fe41892021d29a1d9c534728a92b67f9b6cea | [
"MIT"
] | null | null | null | cdc/src/__init__.py | ZebinKang/cdc | a32fe41892021d29a1d9c534728a92b67f9b6cea | [
"MIT"
] | null | null | null | from NoteDeid import *
from NoteConceptParser import *
from Converter import *
from D2v import *
from MLPipeline import *
| 20.333333 | 31 | 0.795082 |
9cf660cb297e4f4275f9be8ec5a0164060234d14 | 1,207 | py | Python | src/education/urls.py | compressore/moc | 8e05e3e60d2d2c7534e0c659b6ed0743e9189f6b | [
"MIT"
] | 4 | 2020-10-14T15:35:07.000Z | 2022-01-13T15:31:16.000Z | src/education/urls.py | compressore/moc | 8e05e3e60d2d2c7534e0c659b6ed0743e9189f6b | [
"MIT"
] | null | null | null | src/education/urls.py | compressore/moc | 8e05e3e60d2d2c7534e0c659b6ed0743e9189f6b | [
"MIT"
] | 2 | 2021-01-07T14:39:05.000Z | 2022-01-18T12:31:50.000Z | from django.urls import path
from . import views
from core import views as core
from community import views as community
from library import views as library
from ie.urls_baseline import baseline_urlpatterns
from ie.urls_education_baseline import baseline_education_urlpatterns
app_name = "education"
urlpatterns = bas... | 52.478261 | 128 | 0.785418 |
9cf6c6a73f439ca6c05d3204935a74fc4fd76abd | 7,138 | py | Python | flowsa/data_source_scripts/StatCan_IWS_MI.py | JohnAndrewTaylor/flowsa | 21b14b19f08370db574bdd59219a2773983c6f95 | [
"CC0-1.0"
] | null | null | null | flowsa/data_source_scripts/StatCan_IWS_MI.py | JohnAndrewTaylor/flowsa | 21b14b19f08370db574bdd59219a2773983c6f95 | [
"CC0-1.0"
] | null | null | null | flowsa/data_source_scripts/StatCan_IWS_MI.py | JohnAndrewTaylor/flowsa | 21b14b19f08370db574bdd59219a2773983c6f95 | [
"CC0-1.0"
] | null | null | null | # Stat_Canada.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
'''
Pulls Statistics Canada data on water intake and discharge for 3 digit NAICS from 2005 - 2015
'''
import pandas as pd
import io
import zipfile
import pycountry
from flowsa.common import *
def sc_call(url, sc_response, args):
"""
Convert res... | 41.260116 | 118 | 0.64738 |
9cf6cf2875b70b62f98a1356560f801938cbd27e | 3,952 | py | Python | extra_foam/pipeline/f_zmq.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | extra_foam/pipeline/f_zmq.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | extra_foam/pipeline/f_zmq.py | scottwedge/EXtra-foam | 9a170e3097987bf8abf30abb64a52439624367b8 | [
"BSD-3-Clause"
] | null | null | null | """
Distributed under the terms of the BSD 3-Clause License.
The full license is in the file LICENSE, distributed with this software.
Author: Jun Zhu <jun.zhu@xfel.eu>
Copyright (C) European X-Ray Free-Electron Laser Facility GmbH.
All rights reserved.
"""
from collections import deque
from threading import Event
im... | 30.167939 | 73 | 0.607034 |
9cf85aaa6823aec72d799dfb11b9d01b66e08e59 | 1,017 | py | Python | src/supervisor/supervisor_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 6 | 2018-08-07T14:57:58.000Z | 2020-02-13T18:43:49.000Z | src/supervisor/supervisor_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 2 | 2018-08-08T12:12:28.000Z | 2018-08-23T12:46:25.000Z | src/supervisor/supervisor_loader.py | Telsanyr/Johnny_VI | db9f54457c33b1f70616671611e6bc4fc4c44d1b | [
"WTFPL"
] | 1 | 2018-08-07T14:51:15.000Z | 2018-08-07T14:51:15.000Z | #!/usr/bin/env python
# -*- coding: utf8 -*-
# coding: utf8
# This is a module loader. It will reload all the files dedicated to the module
# each time it is reloaded. Therefore, any code modification will be taken into
# account.
# Moreover, because all files are loaded in the same module. All classes and
# global va... | 46.227273 | 100 | 0.771878 |
9cf88f9c3c66dc987145112c9d9843d8bd9f0a49 | 849 | py | Python | todolist/todos/migrations/0002_sharetodolist.py | abdu1aziz/todo-list-app | 698cc046ea4cf9259f8e9830a33166dc6d222abe | [
"MIT"
] | null | null | null | todolist/todos/migrations/0002_sharetodolist.py | abdu1aziz/todo-list-app | 698cc046ea4cf9259f8e9830a33166dc6d222abe | [
"MIT"
] | null | null | null | todolist/todos/migrations/0002_sharetodolist.py | abdu1aziz/todo-list-app | 698cc046ea4cf9259f8e9830a33166dc6d222abe | [
"MIT"
] | null | null | null | # Generated by Django 3.1 on 2020-09-23 06:48
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 32.653846 | 125 | 0.640754 |
9cfa1227d896963056de524d0c2b24fd87570c59 | 4,350 | py | Python | keyboard/mechanical-button/single-button/keyboard.py | ELE-Clouds/mpy-lib | 76a45072357fed3fc8dde75260585622057896da | [
"MIT"
] | 116 | 2018-07-16T14:48:44.000Z | 2022-03-16T15:24:54.000Z | keyboard/mechanical-button/single-button/keyboard.py | ELE-Clouds/mpy-lib | 76a45072357fed3fc8dde75260585622057896da | [
"MIT"
] | 8 | 2018-07-11T14:00:30.000Z | 2022-01-20T01:30:09.000Z | keyboard/mechanical-button/single-button/keyboard.py | ELE-Clouds/mpy-lib | 76a45072357fed3fc8dde75260585622057896da | [
"MIT"
] | 66 | 2018-07-11T08:50:00.000Z | 2022-03-28T15:36:00.000Z | # -*- coding:UTF-8 -*-
'''
MIT License
Copyright (c) 2018 Robin Chen
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, co... | 46.276596 | 163 | 0.554713 |
9cfa728536bee61e0fd7a0cb5ca6747960450394 | 869 | py | Python | dataanalysis/mopitt_data_analysis.py | s-ai-kia/nasa_stf | cc60cf7f74c77a78dc8fa1140d787614fc4cca7b | [
"MIT"
] | 1 | 2020-10-05T04:11:45.000Z | 2020-10-05T04:11:45.000Z | dataanalysis/mopitt_data_analysis.py | s-ai-kia/nasa_stf | cc60cf7f74c77a78dc8fa1140d787614fc4cca7b | [
"MIT"
] | null | null | null | dataanalysis/mopitt_data_analysis.py | s-ai-kia/nasa_stf | cc60cf7f74c77a78dc8fa1140d787614fc4cca7b | [
"MIT"
] | 3 | 2020-12-13T19:36:09.000Z | 2021-11-25T19:01:51.000Z | # -*- coding: utf-8 -*-
"""mopitt_data_analysis.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1bb_9kuO0Suo5761xgJioS84TrEdR5ojj
"""
import pandas as pd
df = pd.read_csv('MOP02J-20200101-L2V18.0.3.csv')
df.head()
df
tx = df[0:5000]
tx
import... | 21.195122 | 95 | 0.715765 |
9cfa74671b912301e99e5c7c844894769aef765f | 5,413 | py | Python | main.py | dkendrick/starterbot | 2b8d14ddf4c18583e8c5656f8268478c07089d41 | [
"BSD-2-Clause"
] | 2 | 2021-11-30T06:33:17.000Z | 2021-12-05T22:50:15.000Z | main.py | dkendrick/starterbot | 2b8d14ddf4c18583e8c5656f8268478c07089d41 | [
"BSD-2-Clause"
] | null | null | null | main.py | dkendrick/starterbot | 2b8d14ddf4c18583e8c5656f8268478c07089d41 | [
"BSD-2-Clause"
] | null | null | null | import bybit
import math
import pandas as pd
import time
from datetime import datetime
from dateutil.relativedelta import relativedelta
# settings
num_orders = 3
order_size = 1
order_distance = 10
sl_risk = 0.03
tp_distance = 5
api_key = "YOUR_KEY"
api_secret = "YOUR_SECRET"
client = bybit.bybit(test=False, api_key=... | 31.841176 | 78 | 0.661001 |
9cfab5f5e7ac823ca82f349ba7f74d5b096b4a5a | 177 | py | Python | Chapter 11/Chapter 06/app1.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | 2 | 2021-05-08T23:10:12.000Z | 2021-05-10T14:33:27.000Z | Chapter 11/Chapter 06/app1.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | null | null | null | Chapter 11/Chapter 06/app1.py | bpbpublications/Building-Web-Apps-with-Python-and-Flask | 4fbbe75fad9629f16ff5bf8bd603aa09dd04f9eb | [
"MIT"
] | 1 | 2021-07-08T19:17:53.000Z | 2021-07-08T19:17:53.000Z | from flask import Flask, render_template
print (__name__)
app = Flask(__name__)
| 22.125 | 50 | 0.700565 |
9cfafb2073c9a3aff02273b967553d1d40af2ae0 | 936 | py | Python | app/models/Article.py | ngedev/hypexblog | 9e4b93ed119ff52afb6b67d00df2b26fe09f7e05 | [
"MIT"
] | null | null | null | app/models/Article.py | ngedev/hypexblog | 9e4b93ed119ff52afb6b67d00df2b26fe09f7e05 | [
"MIT"
] | 5 | 2021-03-08T05:07:37.000Z | 2021-03-12T08:00:41.000Z | app/models/Article.py | ngedev/hypexblog | 9e4b93ed119ff52afb6b67d00df2b26fe09f7e05 | [
"MIT"
] | null | null | null | from datetime import datetime
from sqlalchemy import (
Boolean,
Column,
DateTime,
ForeignKey,
Integer,
String,
UnicodeText,
)
from sqlalchemy.orm import relationship
from zemfrog.globals import db
| 28.363636 | 69 | 0.708333 |
9cfb46ed6b05cd0d4c7a16a81985cf1b4466d0db | 7,079 | py | Python | apps/combine-api/tests/run/test_run_get_simulators.py | freiburgermsu/biosimulations | 1c4f604f67c0924b58e1a3a45378c86bab7ace5b | [
"MIT"
] | 20 | 2021-09-05T02:47:07.000Z | 2022-01-25T10:46:47.000Z | apps/combine-api/tests/run/test_run_get_simulators.py | freiburgermsu/biosimulations | 1c4f604f67c0924b58e1a3a45378c86bab7ace5b | [
"MIT"
] | 1,884 | 2020-08-23T17:40:26.000Z | 2021-09-01T16:29:20.000Z | apps/combine-api/tests/run/test_run_get_simulators.py | freiburgermsu/biosimulations | 1c4f604f67c0924b58e1a3a45378c86bab7ace5b | [
"MIT"
] | 2 | 2019-11-04T15:08:05.000Z | 2020-01-02T21:17:51.000Z | from biosimulators_utils.config import get_config
from src import app
from src.handlers.run.utils import get_simulator_api, get_simulators, exec_in_subprocess
from unittest import mock
import os
import parameterized
import pytest
import requests
import shutil
import tempfile
import unittest
SIMULATORS = os.environ.g... | 42.136905 | 137 | 0.621133 |
9cfc5d4e4bd363a9f3917be257e6f8a8b0661722 | 2,372 | py | Python | simulator/flow_change_gen.py | faywh/read_ez | d26a14aed473291b896664faf284ef3027c8be90 | [
"Apache-2.0"
] | 7 | 2017-05-28T21:00:09.000Z | 2021-04-05T16:14:07.000Z | simulator/flow_change_gen.py | faywh/read_ez | d26a14aed473291b896664faf284ef3027c8be90 | [
"Apache-2.0"
] | null | null | null | simulator/flow_change_gen.py | faywh/read_ez | d26a14aed473291b896664faf284ef3027c8be90 | [
"Apache-2.0"
] | 3 | 2018-12-27T07:59:30.000Z | 2021-05-02T07:47:42.000Z | import argparse
import os
import random
from random import Random
from misc import logger
from domain.network_premitives import *
from flow_gen.link_failure_change_generator import LinkFailureChangeGenerator
from flow_gen.random_change_generator import RandomChangeGenerator
if __name__ == '__main__':
parser = arg... | 43.127273 | 89 | 0.637437 |
9cfcd175b4c5f0ab48925d1924fe24b3bfba9048 | 6,020 | py | Python | pyccel/codegen/python_wrapper.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | null | null | null | pyccel/codegen/python_wrapper.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | null | null | null | pyccel/codegen/python_wrapper.py | noushi/pyccel | f20846897ba2418dc0f432e293bcf8b4ddb24915 | [
"MIT"
] | 1 | 2021-01-08T12:32:51.000Z | 2021-01-08T12:32:51.000Z | # coding: utf-8
#------------------------------------------------------------------------------------------#
# This file is part of Pyccel which is released under MIT License. See the LICENSE file or #
# go to https://github.com/pyccel/pyccel/blob/master/LICENSE for full license details. #
#------------------------... | 36.932515 | 106 | 0.563123 |
1400bb84d2be3b7726e6ee57bf54f265059abc0e | 8,471 | py | Python | xds_plot_integrate.py | keitaroyam/yam_scripts | aa1346be02050032a96f3ea89e5fc836d05c71ea | [
"BSD-3-Clause"
] | 2 | 2018-04-13T21:35:15.000Z | 2020-04-01T07:59:10.000Z | xds_plot_integrate.py | keitaroyam/yam_scripts | aa1346be02050032a96f3ea89e5fc836d05c71ea | [
"BSD-3-Clause"
] | null | null | null | xds_plot_integrate.py | keitaroyam/yam_scripts | aa1346be02050032a96f3ea89e5fc836d05c71ea | [
"BSD-3-Clause"
] | 1 | 2021-12-20T11:04:01.000Z | 2021-12-20T11:04:01.000Z | #!/usr/bin/env cctbx.python
from __future__ import print_function
"""
xds_plot_integrate.py
(c) RIKEN 2015. All rights reserved.
Author: Keitaro Yamashita
This software is released under the new BSD License; see LICENSE.
"""
"""
TODO: plot differences in direct beam and rotation axis
"""
import sys
import re
import... | 36.830435 | 229 | 0.557785 |
14069f69e286ba7e7815086e118f09ac462708fd | 823 | py | Python | sionna/channel/tr38901/__init__.py | NVlabs/sionna | 488e6c3ff6ff2b3313d0ca0f94e4247b8dd6ff35 | [
"Apache-2.0"
] | 163 | 2022-03-22T19:47:47.000Z | 2022-03-31T23:56:45.000Z | sionna/channel/tr38901/__init__.py | Maryammhsnv/sionna | 527d0f7866b379afffad34a6bef7ed3bf6f33ad2 | [
"Apache-2.0"
] | 2 | 2022-03-24T12:43:07.000Z | 2022-03-29T07:17:16.000Z | sionna/channel/tr38901/__init__.py | Maryammhsnv/sionna | 527d0f7866b379afffad34a6bef7ed3bf6f33ad2 | [
"Apache-2.0"
] | 19 | 2022-03-23T02:31:22.000Z | 2022-03-30T06:35:12.000Z | #
# SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
"""
Channel sub-package of the Sionna library implementing 3GPP TR39.801 models.
"""
# pylint: disable=line-too-long
from .antenna import AntennaElement, AntennaPanel, Pane... | 32.92 | 103 | 0.818955 |
14093ba2d1d6dad0f8503fb3ff80ec728afb186e | 85 | wsgi | Python | katty.wsgi | gabeg805/KattyWebApplication | 16ecd9715f4da9fd4e82a840969e7edfa259d14c | [
"MIT"
] | null | null | null | katty.wsgi | gabeg805/KattyWebApplication | 16ecd9715f4da9fd4e82a840969e7edfa259d14c | [
"MIT"
] | null | null | null | katty.wsgi | gabeg805/KattyWebApplication | 16ecd9715f4da9fd4e82a840969e7edfa259d14c | [
"MIT"
] | null | null | null | import sys
sys.path.insert(0, '/var/www/katty')
from index import app as application
| 21.25 | 36 | 0.764706 |