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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d99a1e98eccb58cbc0c0cef6e9e6702f33461b0e | 5,886 | py | Python | public_data/serializers.py | MTES-MCT/sparte | 3b8ae6d21da81ca761d64ae9dfe2c8f54487211c | [
"MIT"
] | null | null | null | public_data/serializers.py | MTES-MCT/sparte | 3b8ae6d21da81ca761d64ae9dfe2c8f54487211c | [
"MIT"
] | 3 | 2022-02-10T11:47:58.000Z | 2022-02-23T18:50:24.000Z | public_data/serializers.py | MTES-MCT/sparte | 3b8ae6d21da81ca761d64ae9dfe2c8f54487211c | [
"MIT"
] | null | null | null | from rest_framework_gis import serializers
from rest_framework import serializers as s
from .models import (
Artificialisee2015to2018,
Artificielle2018,
CommunesSybarval,
CouvertureSol,
EnveloppeUrbaine2018,
Ocsge,
Renaturee2018to2015,
Sybarval,
Voirie2018,
ZonesBaties2018,
... | 25.37069 | 80 | 0.613829 |
d99a20277c32bb1e28312f42ab6d732f38323169 | 241 | py | Python | quick_search/admin.py | naman1901/django-quick-search | 7b93554ed9fa4721e52372f9fd1a395d94cc04a7 | [
"MIT"
] | null | null | null | quick_search/admin.py | naman1901/django-quick-search | 7b93554ed9fa4721e52372f9fd1a395d94cc04a7 | [
"MIT"
] | 2 | 2020-02-11T23:28:22.000Z | 2020-06-05T19:27:40.000Z | quick_search/admin.py | HereWithoutPermission/django-quick-search | 7b93554ed9fa4721e52372f9fd1a395d94cc04a7 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import SearchResult
# Register your models here.
admin.site.register(SearchResult, SearchResultAdmin) | 30.125 | 52 | 0.771784 |
d99b5ab0ec594ac30b1d197b23a5cda7c48151d5 | 18,065 | py | Python | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | import asyncio
import os
import tempfile
from contextlib import ExitStack
from typing import Text, Optional, List, Union, Dict
from rasa.importers.importer import TrainingDataImporter
from rasa import model
from rasa.model import FingerprintComparisonResult
from rasa.core.domain import Domain
from rasa.utils.common im... | 34.673704 | 128 | 0.654027 |
d99ed7256245422c7c5dd3c60b0661e4f78183ea | 35,585 | py | Python | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | # ============================================================================
# FILE: default.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
import re
import typing
from denite.util import echo, error, c... | 37.816153 | 79 | 0.54863 |
d99f875863138f11af1d76f0c753c198ad6d96bd | 1,329 | py | Python | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | # -*- coding: utf-8 -*-
"""Context managers implemented for (mostly) internal use"""
import contextlib
import functools
from io import UnsupportedOperation
import os
import sys
__all__ = ["RedirectStdout", "RedirectStderr"]
RedirectStdout = functools.partial(_stdchannel_redirected, sys.stdout)
RedirectStderr = f... | 28.891304 | 109 | 0.68924 |
d99ff34b5f61cee604590c456f40398d7da18182 | 3,215 | py | Python | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | 1 | 2022-03-05T11:42:36.000Z | 2022-03-05T11:42:36.000Z | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | null | null | null | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | 1 | 2022-03-05T11:42:37.000Z | 2022-03-05T11:42:37.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from . import __version__ as app_version
app_name = "pos_kiosk"
app_title = "Pos Kiosk"
app_publisher = "9t9it"
app_description = "Kiosk App"
app_icon = "octicon octicon-file-directory"
app_color = "grey"
app_email = "info@9t9it.com"
app_license = "MIT"
... | 22.964286 | 101 | 0.631415 |
d9a00b2c6f1a0e88ad5b4a7def2a45bd074f417f | 3,880 | py | Python | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | 1 | 2018-07-24T18:53:26.000Z | 2018-07-24T18:53:26.000Z | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | 7 | 2020-01-28T21:45:14.000Z | 2022-03-11T23:20:53.000Z | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | null | null | null | from keras import Model, Input
from keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten
from keras.optimizers import Adam
from pypagai.models.base import KerasModel
| 33.162393 | 114 | 0.650773 |
d9a09cb6f497e8ccdf9de40f4b8ebd6b96a1c43a | 113 | py | Python | lib/variables/latent_variables/__init__.py | joelouismarino/variational_rl | 11dc14bfb56f3ebbfccd5de206b78712a8039a9a | [
"MIT"
] | 15 | 2020-10-20T22:09:36.000Z | 2021-12-24T13:40:36.000Z | lib/variables/latent_variables/__init__.py | joelouismarino/variational_rl | 11dc14bfb56f3ebbfccd5de206b78712a8039a9a | [
"MIT"
] | null | null | null | lib/variables/latent_variables/__init__.py | joelouismarino/variational_rl | 11dc14bfb56f3ebbfccd5de206b78712a8039a9a | [
"MIT"
] | 1 | 2020-10-23T19:48:06.000Z | 2020-10-23T19:48:06.000Z | from .fully_connected import FullyConnectedLatentVariable
from .convolutional import ConvolutionalLatentVariable
| 37.666667 | 57 | 0.911504 |
d9a0c8935f1da040f76922b94d20a857d8b8cd7d | 3,338 | py | Python | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 1 | 2020-09-05T09:18:56.000Z | 2020-09-05T09:18:56.000Z | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 8 | 2020-04-20T02:18:55.000Z | 2022-03-12T00:24:50.000Z | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:
''' PNASNet in PyTorch.
Paper: Progressive Neural Architecture Search
'''
from easyai.base_name.block_name import NormalizationType, ActivationType
from easyai.base_name.backbone_name import BackboneName
from easyai.model.backbone.utility.base_backbone import *
fr... | 35.892473 | 95 | 0.612942 |
d9a0daeef5f3a3455af5c2983af478cd08c74a7b | 11,247 | py | Python | map_download/cmd/TerrainDownloader.py | cugxy/map_download | 02142b33edb2bc163f7ae971f443efe84c13e029 | [
"MIT"
] | 27 | 2019-04-02T08:34:16.000Z | 2022-01-11T01:48:50.000Z | map_download/cmd/TerrainDownloader.py | cugxy/map_download | 02142b33edb2bc163f7ae971f443efe84c13e029 | [
"MIT"
] | 8 | 2019-10-10T03:03:51.000Z | 2021-11-14T11:01:47.000Z | map_download/cmd/TerrainDownloader.py | cugxy/map_download | 02142b33edb2bc163f7ae971f443efe84c13e029 | [
"MIT"
] | 7 | 2019-04-02T08:43:04.000Z | 2020-08-11T02:14:24.000Z | # -*- coding: utf-8 -*-
# coding=utf-8
import json
import os
import math
import logging
import requests
import time
from map_download.cmd.BaseDownloader import DownloadEngine, BaseDownloaderThread, latlng2tile_terrain, BoundBox
if __name__ == '__main__':
if 1:
logger = logging.getLogger('down')
... | 35.479495 | 117 | 0.384992 |
d9a1f3b0cf83d1115ed19f3acdb5e35f75ece5c0 | 252,781 | py | Python | kubernetes_asyncio/client/api/rbac_authorization_v1_api.py | dineshsonachalam/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | 1 | 2021-02-25T04:36:18.000Z | 2021-02-25T04:36:18.000Z | kubernetes_asyncio/client/api/rbac_authorization_v1_api.py | hubo1016/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/client/api/rbac_authorization_v1_api.py | hubo1016/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: v1.12.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import r... | 66.661656 | 1,390 | 0.685004 |
d9a268f19adc7700cf1335eb9dfc2c8d74c5a4dc | 2,208 | py | Python | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 16 | 2018-01-22T02:03:09.000Z | 2022-02-24T07:16:47.000Z | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 2 | 2019-02-01T02:48:17.000Z | 2020-09-06T06:09:35.000Z | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 8 | 2018-01-22T06:48:07.000Z | 2021-08-08T16:26:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 10 23:28:58 2017
@author: dhingratul
"""
import urllib.request
import os
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from bs4 import BeautifulSoup
import ssl
import requests
import wget
from PyPDF2 import PdfFileR... | 25.976471 | 100 | 0.646286 |
d9a3883f0ea5d080d5d4d2e05df6fadcaeb5c36e | 1,956 | py | Python | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | """
Experiment summary
------------------
Treat each province/state in a country cases over time
as a vector, do a simple K-Nearest Neighbor between
countries. What country has the most similar trajectory
to a given country?
Plots similar countries
"""
import sys
sys.path.insert(0, '..')
from utils import data
impor... | 26.432432 | 74 | 0.658487 |
d9a428c026d2352f281b2b7ddd8ec8a286d37297 | 5,290 | py | Python | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | """
Rational Activation Functions for MXNET
=======================================
This module allows you to create Rational Neural Networks using Learnable
Rational activation functions with MXNET networks.
"""
import mxnet as mx
from mxnet import initializer
from mxnet.gluon import HybridBlock
from rational.utils.... | 42.66129 | 99 | 0.56276 |
d9a6621d903359b14c87695eb4a1ac8dcea18138 | 844 | py | Python | torchflare/criterion/utils.py | Neklaustares-tPtwP/torchflare | 7af6b01ef7c26f0277a041619081f6df4eb1e42c | [
"Apache-2.0"
] | 1 | 2021-09-14T08:38:05.000Z | 2021-09-14T08:38:05.000Z | torchflare/criterion/utils.py | weidao-Shi/torchflare | 3c55b5a0761f2e85dd6da95767c6ec03f0f5baad | [
"Apache-2.0"
] | null | null | null | torchflare/criterion/utils.py | weidao-Shi/torchflare | 3c55b5a0761f2e85dd6da95767c6ec03f0f5baad | [
"Apache-2.0"
] | 1 | 2021-08-06T19:24:43.000Z | 2021-08-06T19:24:43.000Z | """Utils for criterion."""
import torch
import torch.nn.functional as F
def normalize(x, axis=-1):
"""Performs L2-Norm."""
num = x
denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12
return num / denom
# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master... | 26.375 | 107 | 0.613744 |
d9a714b3484177f5fee5427d98c53a86bf48daf3 | 134 | py | Python | tests/__init__.py | eloo/sensor.sbahn_munich | 05e05a845178ab529dc4c80e924035fe1d072b55 | [
"MIT"
] | null | null | null | tests/__init__.py | eloo/sensor.sbahn_munich | 05e05a845178ab529dc4c80e924035fe1d072b55 | [
"MIT"
] | null | null | null | tests/__init__.py | eloo/sensor.sbahn_munich | 05e05a845178ab529dc4c80e924035fe1d072b55 | [
"MIT"
] | null | null | null | """Tests for the sbahn_munich integration"""
line_dict = {
"name": "S3",
"color": "#333333",
"text_color": "#444444",
}
| 14.888889 | 44 | 0.567164 |
d9a88e74a4ac032ae6e8218d9ec1ed42e6092d32 | 375 | py | Python | app/views/web/homestack.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | app/views/web/homestack.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | app/views/web/homestack.py | geudrik/hautomation | 0baae29e85cd68658a0f8578de2e36e42945053f | [
"MIT"
] | null | null | null | #! /usr/bin/env python2.7
# -*- coding: latin-1 -*-
from flask import Blueprint
from flask import current_app
from flask import render_template
from flask_login import login_required
homestack = Blueprint("homestack", __name__, url_prefix="/homestack")
| 22.058824 | 69 | 0.749333 |
d9a90a5af3f207f1020cbf41f94830b75e23fbc9 | 4,411 | py | Python | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | """Forms for RTD donations"""
import logging
from django import forms
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from readthedocs.payments.forms import StripeModelForm, StripeResourceMixin
from readthedocs.payments.utils import stripe
from .models import Supporter
log ... | 33.416667 | 97 | 0.594423 |
d9ad95f0461bd02e44c310b1381567e8524c288c | 6,258 | py | Python | pandas_datareaders_unofficial/datareaders/google_finance_options.py | movermeyer/pandas_datareaders_unofficial | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 18 | 2015-02-05T01:42:51.000Z | 2020-12-27T19:24:25.000Z | pandas_datareaders_unofficial/datareaders/google_finance_options.py | movermeyer/pandas_datareaders_unofficial | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 1 | 2015-01-12T11:08:02.000Z | 2015-01-13T09:14:47.000Z | pandas_datareaders_unofficial/datareaders/google_finance_options.py | femtotrader/pandas_datareaders | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 13 | 2015-09-10T19:39:51.000Z | 2022-01-06T17:08:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .base import DataReaderBase
from ..tools import COL, _get_dates, to_float, to_int
import pandas as pd
#from pandas.tseries.frequencies import to_offset
from six.moves import cStringIO as StringIO
import logging
import traceback
import datetime
import json
import tok... | 29.942584 | 115 | 0.527964 |
d9adb9ef68a4c2ce5de1ed13aea3230964400996 | 5,039 | py | Python | keras_textclassification/data_preprocess/generator_preprocess.py | Vail-qin/Keras-TextClassification | 8acda5ae37db2647c8ecaa70027ffc6003d2abca | [
"MIT"
] | 1 | 2019-12-27T16:59:16.000Z | 2019-12-27T16:59:16.000Z | keras_textclassification/data_preprocess/generator_preprocess.py | Yolo-Cultivate/Keras-TextClassification | 183cf7b3483588bfe10d19b65124e52df5b338f8 | [
"MIT"
] | null | null | null | keras_textclassification/data_preprocess/generator_preprocess.py | Yolo-Cultivate/Keras-TextClassification | 183cf7b3483588bfe10d19b65124e52df5b338f8 | [
"MIT"
] | 1 | 2022-01-11T06:37:54.000Z | 2022-01-11T06:37:54.000Z | # !/usr/bin/python
# -*- coding: utf-8 -*-
# @time : 2019/11/2 21:08
# @author : Mo
# @function:
from keras_textclassification.data_preprocess.text_preprocess import load_json, save_json
from keras_textclassification.conf.path_config import path_model_dir
path_fast_text_model_vocab2index = path_model_dir + 'vocab... | 36.781022 | 92 | 0.523318 |
d9aeee22298fa03239ef3d63fdcaa4984d37ba63 | 3,030 | py | Python | content/test/gpu/gpu_tests/pixel_expectations.py | metux/chromium-deb | 3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | content/test/gpu/gpu_tests/pixel_expectations.py | metux/chromium-deb | 3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | content/test/gpu/gpu_tests/pixel_expectations.py | metux/chromium-deb | 3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from gpu_tests.gpu_test_expectations import GpuTestExpectations
# See the GpuTestExpectations class for documentation.
| 42.083333 | 78 | 0.706931 |
d9afca45a6adc9c41c0b981032c729d59e9db234 | 2,801 | py | Python | examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py | 18F/data-federation-ingest | a896ef2da1faf3966f018366b26a338bb66cc717 | [
"CC0-1.0"
] | 18 | 2019-07-26T13:43:01.000Z | 2022-01-15T14:57:52.000Z | examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py | 18F/data-federation-ingest | a896ef2da1faf3966f018366b26a338bb66cc717 | [
"CC0-1.0"
] | 96 | 2019-06-14T18:30:54.000Z | 2021-08-03T09:25:02.000Z | examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py | 18F/data-federation-ingest | a896ef2da1faf3966f018366b26a338bb66cc717 | [
"CC0-1.0"
] | 3 | 2020-01-23T04:48:18.000Z | 2021-01-12T09:31:20.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-06-08 22:54
from __future__ import unicode_literals
from django.conf import settings
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
| 47.474576 | 209 | 0.611567 |
d9b0c3d32e07c56a0732f0fca454740538a940fe | 451 | py | Python | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | 2 | 2021-09-25T01:00:37.000Z | 2021-09-27T12:13:24.000Z | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | 1 | 2021-09-17T12:08:14.000Z | 2021-09-17T12:08:14.000Z | setup.py | Kaslanarian/PythonSVM | 715eeef2a245736167addf45a6aee8b40b54d0c7 | [
"MIT"
] | null | null | null | import setuptools #enables develop
setuptools.setup(
name='pysvm',
version='0.1',
description='PySVM : A NumPy implementation of SVM based on SMO algorithm',
author_email="191300064@smail.nju.edu.cn",
packages=['pysvm'],
license='MIT License',
long_description=open('README.md', encoding='u... | 28.1875 | 79 | 0.660754 |
d9b0df7f5ef294a68858d836af143c289d120187 | 4,375 | py | Python | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | 1 | 2021-06-09T22:17:57.000Z | 2021-06-09T22:17:57.000Z | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | null | null | null | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | null | null | null | ######## Image Object Detection Using Tensorflow-trained Classifier #########
#
# Author: Evan Juras
# Date: 1/15/18
# Description:
# This program uses a TensorFlow-trained classifier to perform object detection.
# It loads the classifier uses it to perform object detection on an image.
# It draws boxes and scores aro... | 36.458333 | 122 | 0.779886 |
d9b2e0c418fbf0ff7ba59e80c34fb2974714b1c9 | 398 | py | Python | polling_stations/apps/data_collection/management/commands/import_torbay.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/data_collection/management/commands/import_torbay.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/data_collection/management/commands/import_torbay.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | from data_collection.management.commands import BaseXpressDemocracyClubCsvImporter
| 44.222222 | 86 | 0.788945 |
d9b38469f6b00b7a441fff875e4ecd7bcc272b7e | 1,832 | py | Python | Backend/product/views.py | Bhavya0020/Readopolis | a0053e4fae97dc8291b50c746f3dc3e6b454ad95 | [
"MIT"
] | null | null | null | Backend/product/views.py | Bhavya0020/Readopolis | a0053e4fae97dc8291b50c746f3dc3e6b454ad95 | [
"MIT"
] | null | null | null | Backend/product/views.py | Bhavya0020/Readopolis | a0053e4fae97dc8291b50c746f3dc3e6b454ad95 | [
"MIT"
] | null | null | null | from django.db.models import Q
from django.shortcuts import render
from django.http import Http404
# Create your views here.
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.decorators import api_view
from .models import Product, Category
from .serializers imp... | 34.566038 | 101 | 0.715611 |
d9b42bca24804913cf6908775c04bc29a0bec6df | 1,469 | py | Python | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | from sys import maxsize
| 30.604167 | 135 | 0.571137 |
d9b4cabd9071c90b544409b5b87e3302450b1278 | 11,342 | py | Python | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 386 | 2015-01-02T11:10:43.000Z | 2022-03-10T15:12:20.000Z | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 484 | 2015-01-09T18:28:06.000Z | 2022-03-31T16:02:04.000Z | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 99 | 2015-01-28T23:18:04.000Z | 2022-03-27T00:59:39.000Z | ##########################################################################
#
# Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redis... | 33.655786 | 107 | 0.677923 |
d9b4da54ad6bdf7efb1efb5b210a443bc83b0db4 | 12,492 | py | Python | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | 1 | 2019-12-07T13:47:43.000Z | 2019-12-07T13:47:43.000Z | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | null | null | null | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | null | null | null | """Pacman game domain."""
from rlpy.Tools import __rlpy_location__
from .Domain import Domain
from .PacmanPackage import layout, pacman, game, ghostAgents
from .PacmanPackage import graphicsDisplay
import numpy as np
from copy import deepcopy
import os
import time
__copyright__ = "Copyright 2013, RLPy http://acl.mit.e... | 38.795031 | 159 | 0.616394 |
d9b4dfc1ad39620d7b5b2d1c39ad7fd8f6cec36b | 819 | py | Python | core/src/zeit/cms/settings/interfaces.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 5 | 2019-05-16T09:51:29.000Z | 2021-05-31T09:30:03.000Z | core/src/zeit/cms/settings/interfaces.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 107 | 2019-05-24T12:19:02.000Z | 2022-03-23T15:05:56.000Z | core/src/zeit/cms/settings/interfaces.py | rickdg/vivi | 16134ac954bf8425646d4ad47bdd1f372e089355 | [
"BSD-3-Clause"
] | 3 | 2020-08-14T11:01:17.000Z | 2022-01-08T17:32:19.000Z | from zeit.cms.i18n import MessageFactory as _
import zope.interface
import zope.schema
| 26.419355 | 78 | 0.636142 |
d9b55a7ee025f94a0ef3f125fa9c30f974dd7d6e | 211 | py | Python | abc/abc165/abc165e.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | 1 | 2019-08-21T00:49:34.000Z | 2019-08-21T00:49:34.000Z | abc/abc165/abc165e.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | null | null | null | abc/abc165/abc165e.py | c-yan/atcoder | 940e49d576e6a2d734288fadaf368e486480a948 | [
"MIT"
] | null | null | null | N, M = map(int, input().split())
for i in range(1, M + 1):
if i % 2 == 1:
j = (i - 1) // 2
print(1 + j, M + 1 - j)
else:
j = (i - 2) // 2
print(M + 2 + j, 2 * M + 1 - j)
| 21.1 | 39 | 0.336493 |
d9b62ab258f0b51ef25d431f8fa66de9acd438a7 | 1,895 | py | Python | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 23 | 2019-03-05T08:33:34.000Z | 2021-12-13T01:52:47.000Z | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | null | null | null | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 6 | 2019-03-07T07:58:02.000Z | 2020-12-18T10:08:47.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 30.079365 | 76 | 0.663852 |
d9b76c6f6bd2bcb1986a9d9701e4ee097a1ff3bf | 18,905 | py | Python | src/transformers/models/mmbt/modeling_mmbt.py | MaximovaIrina/transformers | 033c3ed95a14b58f5a657f5124bc5988e4109c9f | [
"Apache-2.0"
] | 1 | 2022-01-12T11:39:47.000Z | 2022-01-12T11:39:47.000Z | src/transformers/models/mmbt/modeling_mmbt.py | AugustVIII/transformers | 185876392c0dcd4c4bb02f2750822144a3bee545 | [
"Apache-2.0"
] | null | null | null | src/transformers/models/mmbt/modeling_mmbt.py | AugustVIII/transformers | 185876392c0dcd4c4bb02f2750822144a3bee545 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. 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... | 46.794554 | 209 | 0.685533 |
d9b79f86fa592dbe24c72c454192af966a916a5a | 12,444 | py | Python | eth2/beacon/chains/base.py | mhchia/trinity | e40e475064ca4605887706e9b0e4f8e2349b10cd | [
"MIT"
] | null | null | null | eth2/beacon/chains/base.py | mhchia/trinity | e40e475064ca4605887706e9b0e4f8e2349b10cd | [
"MIT"
] | null | null | null | eth2/beacon/chains/base.py | mhchia/trinity | e40e475064ca4605887706e9b0e4f8e2349b10cd | [
"MIT"
] | null | null | null | from abc import (
ABC,
abstractmethod,
)
import logging
from typing import (
TYPE_CHECKING,
Tuple,
Type,
)
from eth._utils.datatypes import (
Configurable,
)
from eth.db.backends.base import (
BaseAtomicDB,
)
from eth.exceptions import (
BlockNotFound,
)
from eth.validation import (
... | 30.955224 | 99 | 0.634201 |
d9b8347698a1fe18b6d9ec66f6bfbfa77f2567be | 1,566 | py | Python | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | #!/usr/local/bin/python3
import paramiko,time
#using as SSH Client
client = paramiko.SSHClient()
# check dir(client) to find available options.
# auto adjust host key verification with yes or no
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# time for connecting to remote Cisco IOS
"""
Manually taki... | 23.727273 | 89 | 0.691571 |
d9b86cc42aaff67200ff3f4f5f6d27121835fd8c | 733 | py | Python | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | # for n in range(400,500):
# i = n // 100
# j = n // 10 % 10
# k = n % 10
# if n == i ** 3 + j ** 3 + k ** 3:
# print(n)
# (16)
# input("():")
# s1 = input("():")
# l1 = s1.split(' ')
# l2 = []
# for i in l1:
# if i.isdigit():
# l2.append(int(i))
# for i in l2:
# if not (i % ... | 13.089286 | 39 | 0.452933 |
d9b8d42e905cba910e6a30f7d6f38e82d05ab46c | 2,110 | py | Python | graphdb/transformer.py | muggat0n/graphdb | 56dfd5ef8a3321abc6a919faee47494bbe059080 | [
"MIT"
] | 2 | 2020-08-28T13:42:38.000Z | 2020-09-05T03:13:45.000Z | graphdb/transformer.py | muggat0n/graphdb | 56dfd5ef8a3321abc6a919faee47494bbe059080 | [
"MIT"
] | null | null | null | graphdb/transformer.py | muggat0n/graphdb | 56dfd5ef8a3321abc6a919faee47494bbe059080 | [
"MIT"
] | null | null | null | """
A query transformer is a function that accepts a program and returns a program, plus a priority level.
Higher priority transformers are placed closer to the front of the list. Were ensuring is a function,
because were going to evaluate it later 31 .
Well assume there wont be an enormous number of transformer additi... | 30.57971 | 120 | 0.627962 |
d9b92da15285253454115ccfc5647355f3c2b100 | 345 | py | Python | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | 6 | 2021-01-26T10:27:04.000Z | 2022-03-19T16:13:12.000Z | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | null | null | null | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | 2 | 2021-07-27T04:11:51.000Z | 2022-01-06T09:36:06.000Z | #!/usr/bin/python3.6.8+
# -*- coding:utf-8 -*-
"""
@auth: cml
@date: 2020-12-2
@desc: ...
"""
| 15 | 28 | 0.53913 |
d9b95364464c7d47db46ee15f7524a804b79ea1b | 10,311 | py | Python | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | null | null | null | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | null | null | null | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | 1 | 2019-03-20T01:01:00.000Z | 2019-03-20T01:01:00.000Z | # -*- coding: utf-8 -*-
"""
pyboleto.html
~~~~~~~~~~~~~
Classe Responsvel por fazer o output do boleto em html.
:copyright: 2012 by Artur Felipe de Sousa
:license: BSD, see LICENSE for more details.
"""
import os
import string
import sys
import codecs
import base64
from itertools import chain
i... | 35.926829 | 77 | 0.617011 |
d9b9563b7aae9c46b0fbd98073d96eeedfaec4aa | 91 | py | Python | Courses/1 month/2 week/day 6/Formula.py | emir-naiz/first_git_lesson | 1fecf712290f6da3ef03deff518870d91638eb69 | [
"MIT"
] | null | null | null | Courses/1 month/2 week/day 6/Formula.py | emir-naiz/first_git_lesson | 1fecf712290f6da3ef03deff518870d91638eb69 | [
"MIT"
] | null | null | null | Courses/1 month/2 week/day 6/Formula.py | emir-naiz/first_git_lesson | 1fecf712290f6da3ef03deff518870d91638eb69 | [
"MIT"
] | null | null | null | summary = 0
i = 0
while i < 5:
summary = summary + i
print(summary)
i = i + 1
| 11.375 | 25 | 0.516484 |
d9b9af3bd25b0d2f9357446b0ff43e3ab614b141 | 243 | py | Python | tests/image_saver/image_saver_7.py | Vicken-Ghoubiguian/Imtreat | 1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0 | [
"MIT"
] | null | null | null | tests/image_saver/image_saver_7.py | Vicken-Ghoubiguian/Imtreat | 1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0 | [
"MIT"
] | null | null | null | tests/image_saver/image_saver_7.py | Vicken-Ghoubiguian/Imtreat | 1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0 | [
"MIT"
] | null | null | null | import imtreat
img = imtreat.imageManagerClass.openImageFunction("../images/soleil.png", 0)
img = imtreat.definedModesClass.detailEnhanceFunction(img)
imtreat.imageManagerClass.saveImageFunction("/Tlchargements/", "image_1", ".png", img)
| 30.375 | 88 | 0.794239 |
d9ba3c5b12232bbc811a9ad606f2570ac2481108 | 10,492 | py | Python | nova/conf/hyperv.py | raubvogel/nova | b78be4e83cdc191e20a4a61b6aae72cb2b37f62b | [
"Apache-2.0"
] | null | null | null | nova/conf/hyperv.py | raubvogel/nova | b78be4e83cdc191e20a4a61b6aae72cb2b37f62b | [
"Apache-2.0"
] | null | null | null | nova/conf/hyperv.py | raubvogel/nova | b78be4e83cdc191e20a4a61b6aae72cb2b37f62b | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 TUBITAK BILGEM
# 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 requir... | 31.04142 | 79 | 0.735989 |
d9ba3e40007f306c4c070fefef8a9b0aa2387204 | 363 | py | Python | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | null | null | null | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | 2 | 2022-01-20T16:36:33.000Z | 2022-03-31T14:16:01.000Z | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | 1 | 2022-01-28T12:14:14.000Z | 2022-01-28T12:14:14.000Z | import requests
words_list = requests.get("https://raw.githubusercontent.com/atebits/Words/master/Words/fr.txt").text
words_list = filter(lambda x: len(x) > 4, words_list.split('\n'))
path = input("Chemin d'criture ? (words.txt) ")
if path == "":
path = "./words.txt"
with open(path, "w", encoding="utf-8") as f... | 27.923077 | 101 | 0.672176 |
d9ba8bca5b7327bbb7e6554d0a3849c186cc4ba9 | 1,623 | py | Python | inspiration/simplegallery/test/upload/variants/test_aws_uploader.py | Zenahr/simple-music-gallery | 2cf6e81208b721a91dcbf77e047c7f77182dd194 | [
"MIT"
] | 1 | 2020-07-03T17:21:01.000Z | 2020-07-03T17:21:01.000Z | simplegallery/test/upload/variants/test_aws_uploader.py | theemack/simple-photo-gallery | f5db98bca7a7443ea7a9172317811f446eff760c | [
"MIT"
] | 1 | 2020-06-20T12:13:00.000Z | 2020-06-20T15:32:03.000Z | inspiration/simplegallery/test/upload/variants/test_aws_uploader.py | Zenahr/simple-music-gallery | 2cf6e81208b721a91dcbf77e047c7f77182dd194 | [
"MIT"
] | null | null | null | import unittest
from unittest import mock
import os
import subprocess
from testfixtures import TempDirectory
from simplegallery.upload.uploader_factory import get_uploader
if __name__ == '__main__':
unittest.main()
| 37.744186 | 103 | 0.646334 |
d9bd741cd9ad9e20eeb1069fce4709781f43edd4 | 6,476 | py | Python | Qt_interface/add_subject.py | kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool | b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0 | [
"MIT"
] | 1 | 2019-07-17T09:08:41.000Z | 2019-07-17T09:08:41.000Z | Qt_interface/add_subject.py | kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool | b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0 | [
"MIT"
] | null | null | null | Qt_interface/add_subject.py | kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool | b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'add_subject.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
try:... | 48.691729 | 137 | 0.694719 |
d9be3b65d403b8ba23a315dd5e1dcfb9fd542171 | 2,553 | py | Python | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | 1 | 2017-02-08T15:13:43.000Z | 2017-02-08T15:13:43.000Z | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | null | null | null | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | null | null | null | from django.db.models import signals
from django.test import TestCase
from django.core import management
from django.utils import six
from shared_models import models
PRE_SYNCDB_ARGS = ['app', 'create_models', 'verbosity', 'interactive', 'db']
SYNCDB_DATABASE = 'default'
SYNCDB_VERBOSITY = 1
SYNCDB_INTERACTIVE = Fal... | 34.04 | 77 | 0.703486 |
d9be5eda54c6b03914f01c88d3b8d97dd5add586 | 3,625 | py | Python | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"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... | 33.878505 | 114 | 0.622345 |
d9be639438e84e867c9e53c267b847b31292fe23 | 928 | py | Python | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 22 | 2019-04-19T11:13:16.000Z | 2022-03-04T15:04:43.000Z | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 7 | 2019-06-17T13:48:41.000Z | 2022-02-07T14:24:00.000Z | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 6 | 2019-04-24T00:58:29.000Z | 2022-01-26T15:39:10.000Z | #!/usr/bin/env python
import time
import os
import math
from trackball import TrackBall
print("""Trackball: Mouse
Use the trackball as a mouse in Raspbian, with right-click
when the switch is pressed.
Press Ctrl+C to exit!
""")
trackball = TrackBall(interrupt_pin=4)
trackball.set_rgbw(0, 0, 0, 0)
# Check for xte (... | 23.2 | 78 | 0.635776 |
d9be866c44b7b03225042353a7fcf648c1ce10ab | 11,294 | py | Python | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | 7 | 2022-02-01T03:02:24.000Z | 2022-02-10T12:54:05.000Z | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | null | null | null | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | 2 | 2022-02-03T03:33:25.000Z | 2022-02-10T12:54:07.000Z | """GaussianMLPRegressorModel."""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
| 44.81746 | 79 | 0.611741 |
d9becf802ca0765623e481aef0b8fd051c0096e5 | 3,594 | py | Python | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import os
import argparse
from torch.autograd import Variable
from e... | 28.983871 | 115 | 0.645242 |
d9c028ee1a5ced657b4755383e247cbb2fed35a8 | 416 | py | Python | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 9 | 2019-11-06T10:39:15.000Z | 2022-01-09T11:08:52.000Z | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 10 | 2019-11-06T17:33:51.000Z | 2020-12-28T07:46:23.000Z | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 5 | 2020-08-13T15:00:57.000Z | 2022-03-24T14:29:07.000Z | """Model Parameters Module."""
import torch.optim as optim
from .search import SamplingSearch, GreedySearch, BeamSearch
SEARCH_FACTORY = {
'sampling': SamplingSearch,
'greedy': GreedySearch,
'beam': BeamSearch,
}
OPTIMIZER_FACTORY = {
'adadelta': optim.Adadelta,
'adagrad': optim.Adagrad,
'adam... | 21.894737 | 60 | 0.675481 |
d9c1c1059c5b91f27882844cb4c3becda27ebd7c | 6,417 | py | Python | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 100 | 2021-04-13T07:54:49.000Z | 2022-03-21T16:25:45.000Z | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 17 | 2021-04-13T03:13:11.000Z | 2022-02-28T07:36:55.000Z | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 13 | 2021-04-12T19:12:17.000Z | 2022-03-10T00:41:44.000Z | #
# Copyright (c) 2021 The GPflux Contributors.
#
# 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 agr... | 32.573604 | 99 | 0.717781 |
d9c21d6803d82661080e36eb0e94a3b82f8b2f7c | 18,041 | py | Python | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
from actingweb import actor
from actingweb import config
from actingweb import trust
from actingweb import auth
import webapp2
import os
from google.appengine.ext.webapp import template
import json
import logging
import datetime
import time
# /trust handlers
#
# GET /trust with query paramet... | 41.955814 | 152 | 0.558228 |
d9c3024853794c19d2ce2400c8d47311441430b2 | 8,513 | py | Python | src/main/python/rlbot/version.py | IamEld3st/RLBot | 36195ffd3a836ed910ce63aed8ba103b98b7b361 | [
"MIT"
] | null | null | null | src/main/python/rlbot/version.py | IamEld3st/RLBot | 36195ffd3a836ed910ce63aed8ba103b98b7b361 | [
"MIT"
] | null | null | null | src/main/python/rlbot/version.py | IamEld3st/RLBot | 36195ffd3a836ed910ce63aed8ba103b98b7b361 | [
"MIT"
] | null | null | null | # Store the version here so:
# 1) we don't load dependencies by storing it in __init__.py
# 2) we can import it in setup.py for the same reason
# 3) we can import it into your module module
# https://stackoverflow.com/questions/458550/standard-way-to-embed-version-into-python-package
__version__ = '1.6.1'
release_note... | 45.768817 | 118 | 0.677787 |
d9c310055166d8d1507c05ad91c6bc47af7f5743 | 32,544 | py | Python | dungeoncog/enemy_skills_pb2.py | muffin-rice/pad-cogs | 820ecf08f9569a3d7cf3264d0eb9567264b42edf | [
"MIT"
] | 3 | 2021-04-16T23:47:59.000Z | 2021-09-10T06:00:18.000Z | dungeoncog/enemy_skills_pb2.py | muffin-rice/pad-cogs | 820ecf08f9569a3d7cf3264d0eb9567264b42edf | [
"MIT"
] | 708 | 2020-10-31T08:02:40.000Z | 2022-03-31T09:39:25.000Z | dungeoncog/enemy_skills_pb2.py | muffin-rice/pad-cogs | 820ecf08f9569a3d7cf3264d0eb9567264b42edf | [
"MIT"
] | 20 | 2020-11-01T23:11:29.000Z | 2022-02-07T07:04:15.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: enemy_skills.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.pr... | 51.169811 | 2,854 | 0.703386 |
d9c32f78fb7ce24035473595e0a40c4945453a5b | 2,465 | py | Python | classy_vision/heads/fully_connected_head.py | dlegor/ClassyVision | 9c82d533b66b0a5fbb11f8ab3567a9c70aa4e013 | [
"MIT"
] | 1 | 2021-04-11T19:01:10.000Z | 2021-04-11T19:01:10.000Z | classy_vision/heads/fully_connected_head.py | prigoyal/ClassyVision | db87bb87068ee8d2c7b21849ddd0548082e20a87 | [
"MIT"
] | null | null | null | classy_vision/heads/fully_connected_head.py | prigoyal/ClassyVision | db87bb87068ee8d2c7b21849ddd0548082e20a87 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict
import torch.nn as nn
from classy_vision.generic.util import is_pos_int
from classy_visio... | 31.602564 | 83 | 0.628398 |
d9c387f6c561372e064bfe33f0566d9f2a1cdd50 | 399 | py | Python | Task2C.py | StanleyHou117/group66_LentTermProject | 0255310cb202f21cada8cf7c0f45a045a9b72c1f | [
"MIT"
] | null | null | null | Task2C.py | StanleyHou117/group66_LentTermProject | 0255310cb202f21cada8cf7c0f45a045a9b72c1f | [
"MIT"
] | null | null | null | Task2C.py | StanleyHou117/group66_LentTermProject | 0255310cb202f21cada8cf7c0f45a045a9b72c1f | [
"MIT"
] | null | null | null | from floodsystem.stationdata import build_station_list
from floodsystem.flood import stations_highest_rel_level
if __name__ == "__main__":
print("*** Task 2C: CUED Part IA Flood Warning System ***")
run() | 28.5 | 63 | 0.734336 |
d9c389b63a2c9720abef56190237f31a2306da19 | 1,972 | py | Python | src/biotite/copyable.py | danijoo/biotite | 22072e64676e4e917236eac8493eed4c6a22cc33 | [
"BSD-3-Clause"
] | 208 | 2018-04-20T15:59:42.000Z | 2022-03-22T07:47:12.000Z | src/biotite/copyable.py | danielmuthama/biotite | cb238a8d8d7dc82b3bcea274d7d91d5c876badcd | [
"BSD-3-Clause"
] | 121 | 2017-11-15T14:52:07.000Z | 2022-03-30T16:31:41.000Z | src/biotite/copyable.py | danielmuthama/biotite | cb238a8d8d7dc82b3bcea274d7d91d5c876badcd | [
"BSD-3-Clause"
] | 49 | 2018-07-19T09:06:24.000Z | 2022-03-23T17:21:34.000Z | # This source code is part of the Biotite package and is distributed
# under the 3-Clause BSD License. Please see 'LICENSE.rst' for further
# information.
__name__ = "biotite"
__author__ = "Patrick Kunzmann"
__all__ = ["Copyable"]
import abc
| 27.774648 | 70 | 0.59432 |
d9c3ac1232aa677a1999a869a726247c9e688214 | 3,400 | py | Python | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | import logging
import time
from datetime import timedelta
from typing import List
from homeassistant.components.binary_sensor import (
BinarySensorEntity,
DEVICE_CLASS_MOTION
)
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import ATTR_ATTRIBUTION
from homeassistant.core import H... | 29.059829 | 109 | 0.645 |
d9c3b05c7fcf1f87eb65a4b552deef9342032f24 | 6,520 | py | Python | src/Components/missions/GEMS/mcd43c.py | GEOS-ESM/AeroApps | 874dad6f34420c014d98eccbe81a061bdc0110cf | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-12-02T14:23:30.000Z | 2021-12-31T15:39:30.000Z | src/Components/missions/GEMS/mcd43c.py | GEOS-ESM/AeroApps | 874dad6f34420c014d98eccbe81a061bdc0110cf | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | 9 | 2020-04-15T16:22:14.000Z | 2022-03-24T13:59:25.000Z | src/Components/missions/SENTINEL-4/mcd43c.py | GEOS-ESM/AeroApps | 874dad6f34420c014d98eccbe81a061bdc0110cf | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | null | null | null | """
Reads climate modeling grid 0.05 degree MCD43 BRDF files.
"""
import os
import sys
from numpy import loadtxt, array, tile, where, concatenate, flipud
from numpy import ones
from datetime import date, datetime, timedelta
from glob import glob
from pyhdf.SD import SD, HDF4Error
MISSING = 32.767
SDS = dict... | 36.222222 | 103 | 0.533282 |
d9c4481e6f2e6c4d81a9ed81d21838df61cf431f | 26,272 | py | Python | tests/keras/layers/wrappers_test.py | kalyc/keras-apache-mxnet | 5497ebd50a45ccc446b8944ebbe11fb7721a5533 | [
"MIT"
] | 300 | 2018-04-04T05:01:21.000Z | 2022-02-25T18:56:04.000Z | tests/keras/layers/wrappers_test.py | kalyc/keras-apache-mxnet | 5497ebd50a45ccc446b8944ebbe11fb7721a5533 | [
"MIT"
] | 163 | 2018-04-03T17:41:22.000Z | 2021-09-03T16:44:04.000Z | tests/keras/layers/wrappers_test.py | kalyc/keras-apache-mxnet | 5497ebd50a45ccc446b8944ebbe11fb7721a5533 | [
"MIT"
] | 72 | 2018-04-21T06:42:30.000Z | 2021-12-26T06:02:42.000Z | import pytest
import numpy as np
import copy
from numpy.testing import assert_allclose
from keras.utils import CustomObjectScope
from keras.layers import wrappers, Input, Layer
from keras.layers import RNN
from keras import layers
from keras.models import Sequential, Model, model_from_json
from keras import backend as ... | 40.418462 | 95 | 0.629225 |
d9c4cf9fb1ad31300587d3e24030d9670ed150d3 | 3,342 | py | Python | src/tornado-3.2.2/tornado/platform/common.py | code-annotator/tornado-annotated | 78fa3ab3b87a559c1db9ec11d86d79f6bf47853c | [
"MIT"
] | 645 | 2015-01-03T02:03:59.000Z | 2021-12-03T08:43:16.000Z | filenv/lib/python2.7/site-packages/tornado/platform/common.py | betoesquivel/fil2014 | 4c2e9188769096391bb206b76ed1ab8bd2ff66a1 | [
"MIT"
] | 2 | 2021-04-30T20:29:40.000Z | 2022-02-11T03:38:04.000Z | filenv/lib/python2.7/site-packages/tornado/platform/common.py | betoesquivel/fil2014 | 4c2e9188769096391bb206b76ed1ab8bd2ff66a1 | [
"MIT"
] | 222 | 2015-01-07T05:00:52.000Z | 2021-12-06T09:54:26.000Z | """Lowest-common-denominator implementations of platform functionality."""
from __future__ import absolute_import, division, print_function, with_statement
import errno
import socket
from tornado.platform import interface
| 36.326087 | 86 | 0.55775 |
d9c69927875c451378bcb7d50069e903036beefa | 5,490 | py | Python | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 26 | 2015-02-14T11:37:21.000Z | 2021-05-10T17:24:16.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 8 | 2015-02-14T17:33:24.000Z | 2021-10-05T20:32:19.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 15 | 2015-01-24T23:36:54.000Z | 2021-10-02T23:40:08.000Z | """
This script will modulate the blinky lights using the following algorithm:
1) uses user-provided location to obtain row of pixel data from bathy image
2) samples a 'number of LEDs' number of pixels from that row
3) shifts the sampled row data to center it at the location specified by user
4) displays resulting pix... | 36.845638 | 230 | 0.654098 |
d9c6ca6076e88b29cf949f6ea50aa8a721054e5d | 5,118 | py | Python | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | null | null | null | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | 4 | 2020-08-28T17:21:06.000Z | 2021-06-02T01:52:16.000Z | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | null | null | null | """ Export Submissions Transform module """
#pylint: disable=too-few-public-methods
import pandas as pd
from .transform import TransformBase
from ..resources.field_configs import FieldConfigs
from ..resources.field_maps import FieldMaps
| 44.12069 | 112 | 0.520125 |
d9c723ccb8662448fc572ef43b245239e373eaa3 | 2,877 | py | Python | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 22 | 2018-05-08T05:52:34.000Z | 2020-04-01T10:09:55.000Z | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 73 | 2021-09-25T07:11:39.000Z | 2022-03-26T07:10:59.000Z | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 10 | 2018-04-27T10:50:59.000Z | 2020-02-24T02:41:43.000Z | import pytest
import torch
import ray
from ray.ml.predictors.integrations.torch import TorchPredictor
from ray.ml.train.integrations.torch import TorchTrainer
from ray import train
from ray.ml.examples.pytorch.torch_linear_example import train_func as linear_train_func
def test_torch_e2e(ray_start_4_cpus):
sc... | 28.77 | 88 | 0.681265 |
d9c7946fa7c34a185ec10fc47b862efa2f519a9d | 19,770 | py | Python | uhd_restpy/testplatform/sessions/ixnetwork/quicktest/learnframes_58e01d83db5d99bcabff902f5cf6ec51.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | uhd_restpy/testplatform/sessions/ixnetwork/quicktest/learnframes_58e01d83db5d99bcabff902f5cf6ec51.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | uhd_restpy/testplatform/sessions/ixnetwork/quicktest/learnframes_58e01d83db5d99bcabff902f5cf6ec51.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# 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,... | 44.728507 | 304 | 0.644917 |
d9c7f3fdaa6dbe4abf7e68c6052896f817807b98 | 190 | py | Python | core/serializers.py | telminov/sonm-cdn-cms | e51107e3baed9e633e54db6cd7f784178f531b4a | [
"MIT"
] | 1 | 2018-08-31T17:40:14.000Z | 2018-08-31T17:40:14.000Z | core/serializers.py | telminov/sonm-cdn-cms | e51107e3baed9e633e54db6cd7f784178f531b4a | [
"MIT"
] | null | null | null | core/serializers.py | telminov/sonm-cdn-cms | e51107e3baed9e633e54db6cd7f784178f531b4a | [
"MIT"
] | null | null | null | from rest_framework import serializers
from core import models
| 19 | 51 | 0.731579 |
d9c7f680a10afbb210d6a7c50f3b0ac7716821e0 | 190 | py | Python | tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 19 | 2015-12-03T08:53:45.000Z | 2022-03-31T02:09:43.000Z | tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 80 | 2017-11-25T07:57:32.000Z | 2018-06-10T19:03:30.000Z | tests/wasp1/AllAnswerSets/aggregates_count_boundvariables_1.test.py | bernardocuteri/wasp | 05c8f961776dbdbf7afbf905ee00fc262eba51ad | [
"Apache-2.0"
] | 6 | 2015-01-15T07:51:48.000Z | 2020-06-18T14:47:48.000Z | input = """
c(2).
p(1).
a(2).
d(2,2,1).
okay(X):- c(X), #count{V:a(V),d(V,X,1)} = 1.
ouch(X):- p(X), #count{V:a(V),d(V,X,1)} = 1.
"""
output = """
{a(2), c(2), d(2,2,1), okay(2), p(1)}
"""
| 14.615385 | 44 | 0.4 |
d9c9b89785f6cfc7757c2e1d1d401d256c20d14f | 2,567 | py | Python | Pzzzzz/plugins/wm.py | Pzzzzz5142/animal-forest-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | 5 | 2020-05-28T06:29:33.000Z | 2020-09-30T12:14:46.000Z | Pzzzzz/plugins/wm.py | Pzzzzz5142/xjbx-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | null | null | null | Pzzzzz/plugins/wm.py | Pzzzzz5142/xjbx-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | null | null | null | from nonebot import CommandSession, on_command
from langdetect import detect, detect_langs
from aiohttp import ClientSession
from nonebot import get_bot
from nonebot.argparse import ArgumentParser
import time
import hmac
import random, sys
import hashlib
import binascii
import urllib
bot = get_bot()
# API,ttstranslate... | 27.021053 | 75 | 0.592131 |
d9ca7d1ad949a33a39144490cd6ec4bc4a1910a2 | 5,375 | py | Python | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | 1 | 2019-01-08T08:41:22.000Z | 2019-01-08T08:41:22.000Z | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | null | null | null | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | null | null | null | """
LpSolve wrapper.
Copyright (C) 2018, Guillaume Gonnet
License MIT
"""
from ctypes import *
import sys
import os.path as path
import platform
# Import the DLL
ver = ("x86", "x64")[sys.maxsize > 2**32]
here = path.dirname(__file__)
if sys.platform == "win32":
lib = windll.LoadLibrary(path.abspath(path.join... | 25.116822 | 92 | 0.630884 |
d9ca842cbdc63c54359e746c423beca4af1124b3 | 118,727 | py | Python | octavia/tests/unit/controller/worker/v2/tasks/test_database_tasks.py | mauroseb/octavia | 8f032d884e0f89ac69d5b6e5f5b77d19ee6eb1d7 | [
"Apache-2.0"
] | null | null | null | octavia/tests/unit/controller/worker/v2/tasks/test_database_tasks.py | mauroseb/octavia | 8f032d884e0f89ac69d5b6e5f5b77d19ee6eb1d7 | [
"Apache-2.0"
] | null | null | null | octavia/tests/unit/controller/worker/v2/tasks/test_database_tasks.py | mauroseb/octavia | 8f032d884e0f89ac69d5b6e5f5b77d19ee6eb1d7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Hewlett-Packard Development Company, L.P.
#
# 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... | 42.191542 | 79 | 0.568691 |
d9caf13b41f36d2f1d5f56fee8cc8d3745513f23 | 18,402 | py | Python | Yellow_Pages_Lithuania/unit_tests.py | Jay4C/Web-Scraping | 187679bee035dad661d983b5a8382240f820c337 | [
"MIT"
] | 1 | 2022-02-28T05:05:06.000Z | 2022-02-28T05:05:06.000Z | Yellow_Pages_Lithuania/unit_tests.py | Jay4C/Web-Scraping | 187679bee035dad661d983b5a8382240f820c337 | [
"MIT"
] | 23 | 2020-03-04T22:17:32.000Z | 2021-01-21T09:35:33.000Z | Yellow_Pages_Lithuania/unit_tests.py | Jay4C/Web-Scraping | 187679bee035dad661d983b5a8382240f820c337 | [
"MIT"
] | null | null | null | import time
from bs4 import BeautifulSoup
import requests
import pymysql.cursors
import unittest
if __name__ == '__main__':
unittest.main()
| 53.0317 | 119 | 0.395392 |
d9cb561a08fd3aac17d5adf4c0665d1418e60e6a | 3,262 | py | Python | python_modules/dagster/dagster_tests/compat_tests/test_back_compat.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 3 | 2020-04-28T16:27:33.000Z | 2020-07-22T07:43:30.000Z | python_modules/dagster/dagster_tests/compat_tests/test_back_compat.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster_tests/compat_tests/test_back_compat.py | vatervonacht/dagster | 595d78c883ef20618052ac1575fe46cde51fd541 | [
"Apache-2.0"
] | 1 | 2021-02-21T12:16:47.000Z | 2021-02-21T12:16:47.000Z | # pylint: disable=protected-access
import os
import re
import pytest
from dagster import file_relative_path
from dagster.core.errors import DagsterInstanceMigrationRequired
from dagster.core.instance import DagsterInstance, InstanceRef
from dagster.utils.test import restore_directory
# test that we can load runs an... | 42.363636 | 100 | 0.698038 |
d9cb7d0cdfc5b919d86c41747507b434bce2ff4e | 2,595 | py | Python | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | null | null | null | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | 1 | 2020-02-01T04:53:43.000Z | 2020-02-01T04:53:43.000Z | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import pandas as pd
if __name__ == '__main__':
df = pd.read_csv('../data/crimes_dataset_processed_incomplete.csv')
group_by_territory(df)
group_by_year(df)
group_by_month(df)
group_by_time_of_day(df)
group_by_day_of_the_week(df)
group_by_category(df)
| 38.161765 | 91 | 0.668208 |
d9cc56ba272dad2f5e9b82b388ad10350a722906 | 15,349 | py | Python | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | # Unit tests
import unittest
if __name__ == '__main__':
unittest.main()
| 42.167582 | 79 | 0.410906 |
d9cc99c89bae7a8c33f8aa618bc77a5eebb78e7c | 7,638 | py | Python | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import jdatetime
pd.options.mode.chained_assignment = None
# Read Bourseview data for market cap
# Concat all 75 tickers' data
me_list = []
for file_number in range(1, 76):
print(file_number)
me_path = f'E:/Thesis/New Sampling/Daily Data - Bourseview/'\
... | 38.38191 | 77 | 0.612857 |
d9cdaf9a83cf7f7590823c87b5b4ab6e714294e0 | 4,632 | py | Python | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 92 | 2021-09-14T06:41:06.000Z | 2022-03-31T09:52:07.000Z | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 74 | 2021-09-18T01:46:47.000Z | 2022-03-28T10:46:59.000Z | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 42 | 2021-09-16T23:00:00.000Z | 2022-03-29T15:11:43.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
__copyright__ = ('Copyright Amazon.com, Inc. or its affiliates. '
'All Rights Reserved.')
__version__ = '2.7.1'
__license__ = 'MIT-0'
__author__ = 'Akihiro Nakajima'
__url__ = 'https://github.com/aws-s... | 34.827068 | 122 | 0.633636 |
d9cdbec7cf44be7c5e8dcf70bed770879dcd7e21 | 16,679 | py | Python | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-10-06T12:21:02.000Z | 2019-10-06T12:21:02.000Z | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-06-24T20:20:18.000Z | 2021-06-24T20:32:23.000Z | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Copyright 2010 California Institute of Technology. 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 th... | 39.523697 | 202 | 0.655495 |
d9cf50080cfd2da35179773577dfa101c0a0615b | 1,106 | py | Python | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | null | null | null | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | 1 | 2020-05-09T20:27:33.000Z | 2020-05-09T20:27:33.000Z | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | null | null | null | from random import shuffle as rshuffle
from .card import Card
| 25.136364 | 79 | 0.605787 |
d9cfb448c497219965f4d51af8838d801a58ed41 | 21,000 | py | Python | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 6 | 2017-03-16T13:32:11.000Z | 2021-06-21T19:12:21.000Z | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 5 | 2017-03-23T19:50:36.000Z | 2022-01-25T04:45:27.000Z | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 4 | 2017-03-21T17:34:28.000Z | 2022-01-24T06:16:19.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016, 2017 Red Hat, Inc.
# Red Hat Author: Patrick Uiterwijk <puiterwijk@redhat.com>
#
# 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 restri... | 40.384615 | 87 | 0.617 |
d9cfea74cbe1fffe3e3d0849bdd6679785142bf0 | 7,159 | py | Python | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | 1 | 2017-11-21T22:23:30.000Z | 2017-11-21T22:23:30.000Z | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | null | null | null | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | null | null | null | #-------------------------------------------------------------------------------
#
# WPS 1.0 parameters' XML encoders
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
# Martin Paces <martin.paces@eox.at>
#
#-----------------------------------------------------... | 38.283422 | 80 | 0.621875 |
d9d317f8ac0c3d87ca7347265d7a9836b41ed098 | 2,481 | py | Python | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 1 | 2021-09-17T20:39:07.000Z | 2021-09-17T20:39:07.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 133 | 2021-08-29T17:24:26.000Z | 2022-03-25T17:24:31.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | null | null | null | import datetime
import uuid
import simplejson as json
from src.db.s3_client import Client as S3Client
from decimal import Decimal
def get_from_archive(archive_key):
''' Download a VP Save from S3.
:param str archive_key: The vp_save data's location (S3 bucket and file path). This value is required.
'''
if ... | 27.263736 | 104 | 0.699315 |
d9d321dead6bc8e55098581c550215a3e969a2f1 | 464 | py | Python | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 362 | 2017-05-01T10:20:56.000Z | 2022-03-29T21:39:09.000Z | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 73 | 2017-04-20T18:54:39.000Z | 2021-12-02T08:04:21.000Z | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 52 | 2017-05-04T13:03:25.000Z | 2022-03-29T21:39:20.000Z | """
Basic usage
===========
This example presents the basic usage of brokenaxes
"""
import matplotlib.pyplot as plt
from brokenaxes import brokenaxes
import numpy as np
fig = plt.figure(figsize=(5,2))
bax = brokenaxes(xlims=((0, .1), (.4, .7)), ylims=((-1, .7), (.79, 1)), hspace=.05)
x = np.linspace(0, 1, 100)
bax... | 21.090909 | 83 | 0.644397 |
d9d368d362ab070d71b3363fe0fb20728ec9660d | 5,985 | py | Python | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | 1 | 2021-02-28T15:38:37.000Z | 2021-02-28T15:38:37.000Z | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | import shutil
import os
import json
import glob
import yaml
import sys
import urllib
import ssl
import csv
import time
import requests
import json
import csv
from rdflib import URIRef, BNode, Literal, Graph
from rdflib.namespace import RDF, RDFS, FOAF, XSD
from rdflib import Namespace
all = Graph()
with open("data/... | 29.338235 | 129 | 0.513116 |
d9d4e94302ccb3b8bcc4d40fbc60872ee3780872 | 2,107 | py | Python | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | import unittest
try:
from unittest.mock import *
except ImportError:
from mock import *
from msgpack import *
import bootloader_read_config
from commands import *
import sys
import json
| 30.985294 | 78 | 0.596108 |
d9d51a8133c12a74117e8b569f8ace23d5fb49e6 | 5,499 | py | Python | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | 1 | 2021-03-14T20:01:53.000Z | 2021-03-14T20:01:53.000Z | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | null | null | null | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | null | null | null | import logging
from asyncio import sleep
import discord
from discord.ext import commands
from config import SETTINGS
from crew import crew_embed
from diary import diary_embed
from film import film_embed
from helpers import LetterboxdError
from list_ import list_embed
from review import review_embed
from user import us... | 28.640625 | 78 | 0.651755 |
d9d59aa9c4853e8590f823a63f53768b8aecbce1 | 6,899 | py | Python | python/ray/experimental/workflow/execution.py | wgifford/ray | 8acb469b047cd9b327c9477a13b030eb7357860e | [
"Apache-2.0"
] | null | null | null | python/ray/experimental/workflow/execution.py | wgifford/ray | 8acb469b047cd9b327c9477a13b030eb7357860e | [
"Apache-2.0"
] | 32 | 2021-09-04T07:08:45.000Z | 2022-02-19T08:08:11.000Z | python/ray/experimental/workflow/execution.py | wgifford/ray | 8acb469b047cd9b327c9477a13b030eb7357860e | [
"Apache-2.0"
] | null | null | null | import asyncio
import logging
import time
from typing import Set, List, Tuple, Optional, TYPE_CHECKING
import uuid
import ray
from ray.experimental.workflow import workflow_context
from ray.experimental.workflow import workflow_storage
from ray.experimental.workflow.common import (Workflow, WorkflowStatus,
... | 40.345029 | 79 | 0.681258 |
d9d5b48647e38ebb7586e30d71d263a91ce8bc1b | 156 | py | Python | src/zeep/wsse/__init__.py | bertonha/python-zeep | 748f4e028db2ef498bc6dd1e60d3555b7688f08c | [
"MIT"
] | null | null | null | src/zeep/wsse/__init__.py | bertonha/python-zeep | 748f4e028db2ef498bc6dd1e60d3555b7688f08c | [
"MIT"
] | null | null | null | src/zeep/wsse/__init__.py | bertonha/python-zeep | 748f4e028db2ef498bc6dd1e60d3555b7688f08c | [
"MIT"
] | null | null | null | from .compose import Compose # noqa
from .signature import BinarySignature, Signature, MemorySignature # noqa
from .username import UsernameToken # noqa
| 39 | 74 | 0.801282 |
d9d5cc7533855c3c985b9ccbdc0f7d78d12441b1 | 746 | py | Python | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
dt=0.1
t = np.arange(0,10,dt)
y0=np.array([10, 0.0, 10, 10])
sol_rk4=RK4_int(orbit,y0,t)
x,y,v_x,v_y = sol_rk4.T
plt.grid()
plt.plot(x,y)
plt.show()
| 19.128205 | 51 | 0.518767 |
d9d5e8ec4bcf85e917876d27f935eeb707d35bc9 | 675 | py | Python | factory_generator/management/commands/generate_factories.py | gamabounty/django-factory-generator | 284184b22f3564a7a915ac3f3363e588d3721158 | [
"MIT"
] | 10 | 2019-04-19T03:00:09.000Z | 2022-02-23T16:17:43.000Z | factory_generator/management/commands/generate_factories.py | charlesthk/django-factory-generator | cd0f7aa5b4ecc2bbe8f30a081238056c653d7265 | [
"MIT"
] | 2 | 2020-05-10T00:40:51.000Z | 2021-02-28T11:31:26.000Z | factory_generator/management/commands/generate_factories.py | charlesthk/django-factory-generator | cd0f7aa5b4ecc2bbe8f30a081238056c653d7265 | [
"MIT"
] | 6 | 2019-12-19T16:26:00.000Z | 2021-05-13T23:42:35.000Z | import os
from django.apps import apps
from django.core.management.base import BaseCommand
from factory_generator.generator import FactoryAppGenerator
| 33.75 | 80 | 0.715556 |
d9d66c8e24ecdddf4d2ecdc3b422d09645a2f485 | 3,021 | py | Python | mro/stages/analyzer/run_differential_expression/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | 1 | 2019-03-29T04:05:58.000Z | 2019-03-29T04:05:58.000Z | mro/stages/analyzer/run_differential_expression/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | null | null | null | mro/stages/analyzer/run_differential_expression/__init__.py | qiangli/cellranger | 046e24c3275cfbd4516a6ebc064594513a5c45b7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 2017 10X Genomics, Inc. All rights reserved.
#
import cellranger.analysis.diffexp as cr_diffexp
import cellranger.analysis.io as analysis_io
from cellranger.analysis.singlegenome import SingleGenomeAnalysis
import cellranger.h5_constants as h5_constants
import cellranger.analysi... | 35.541176 | 125 | 0.735849 |
d9d80db949c5d5f415b809076411a2404da55e53 | 10,912 | py | Python | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 2 | 2019-05-18T22:36:49.000Z | 2019-05-24T05:56:16.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 1 | 2020-04-22T12:45:26.000Z | 2020-04-22T12:45:26.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 3 | 2021-02-16T16:40:49.000Z | 2022-03-07T18:28:41.000Z | from sympy.combinatorics import Permutation
from sympy.combinatorics.util import _distribute_gens_by_base
rmul = Permutation.rmul
def _cmp_perm_lists(first, second):
"""
Compare two lists of permutations as sets.
This is used for testing purposes. Since the array form of a
permutation is currently a... | 32.47619 | 98 | 0.641679 |
d9d95781d1bacab44253ba285649d7b99ee1e33d | 542 | py | Python | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | src/vatic_checker/config.py | jonkeane/vatic-checker | fa8aec6946dcfd3f466b62f9c00d81bc43514b22 | [
"MIT"
] | null | null | null | localhost = "http://localhost/" # your local host
database = "mysql://root@localhost/vaticChecker" # server://user:pass@localhost/dbname
min_training = 2 # the minimum number of training videos to be considered
recaptcha_secret = "" # recaptcha secret for verification
duplicate_annotations = False #... | 38.714286 | 94 | 0.745387 |
d9d96360237e53141cd11d1271cee29b6140650f | 8,233 | py | Python | django/utils/timezone.py | graingert/django | 784d0c261c76535dc760bc8d76793d92f35c1513 | [
"BSD-3-Clause"
] | 1 | 2015-11-11T12:20:45.000Z | 2015-11-11T12:20:45.000Z | django/utils/timezone.py | graingert/django | 784d0c261c76535dc760bc8d76793d92f35c1513 | [
"BSD-3-Clause"
] | null | null | null | django/utils/timezone.py | graingert/django | 784d0c261c76535dc760bc8d76793d92f35c1513 | [
"BSD-3-Clause"
] | null | null | null | """Timezone helper functions.
This module uses pytz when it's available and fallbacks when it isn't.
"""
from datetime import datetime, timedelta, tzinfo
from threading import local
import time as _time
try:
import pytz
except ImportError:
pytz = None
from django.conf import settings
__all__ = [
'utc',... | 28.195205 | 81 | 0.66197 |
d9da1ced032a66e58537bdeecea30c322d1a2f01 | 644 | py | Python | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | null | null | null | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | 4 | 2017-09-21T17:14:45.000Z | 2020-11-11T03:20:42.000Z | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | null | null | null | import pytest
from pywps import Service
from pywps.tests import assert_response_success
from .common import client_for
from malleefowl.processes import processes
| 28 | 80 | 0.608696 |
d9dd8d48aa39f42683555f052c81e9f33f26c3cd | 1,835 | py | Python | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | from setuptools import setup
__author__ = "Alex Laird"
__copyright__ = "Copyright 2019, Alex Laird"
__version__ = "1.4.0"
with open("README.md", "r") as f:
long_description = f.read()
setup(
name="pyngrok",
version=__version__,
packages=["pyngrok"],
python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2... | 34.622642 | 95 | 0.611444 |
d9ddd794f7ce3da3377a0064524099ee9b8e1fd8 | 1,377 | py | Python | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | 4 | 2019-06-06T20:10:08.000Z | 2021-02-19T11:59:39.000Z | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | null | null | null | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | 1 | 2019-10-13T03:51:16.000Z | 2019-10-13T03:51:16.000Z | #!/usr/bin/env python3
import kfp.dsl as dsl
import kfp.gcp as gcp
# Pipeline input variables.
KUBECTL_IMAGE = "gcr.io/mcas-195423/trackml_master_kfp_kubectl"
KUBECTL_IMAGE_VERSION = "1"
TRACKML_IMAGE = "gcr.io/mcas-195423/trackml_master_trackml"
TRACKML_IMAGE_VERSION = "1"
if __name__ == '__main__':
import kfp.co... | 24.157895 | 63 | 0.688453 |
d9de866f5c692eb5d2ae261f2a1854febddba480 | 2,211 | py | Python | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import puka
import argparse
import logging
from infcommon import utils
from infrabbitmq import factory as infrabbitmq_factory
from infrabbitmq.rabbitmq import RabbitMQError
from infrabbitmq.events_names import (
TICK_1_SECOND,
TICK_1_MINUTE,
TICK_2_MINUTES,
TICK_5_... | 29.878378 | 114 | 0.622795 |
d9df003e9cd20fdfdd89b5aaebba29cdc7e644c5 | 16,137 | py | Python | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | null | null | null | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | 3 | 2021-06-02T00:41:41.000Z | 2022-02-10T01:07:59.000Z | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | 1 | 2020-01-27T03:02:19.000Z | 2020-01-27T03:02:19.000Z | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. 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 a... | 51.88746 | 473 | 0.656008 |
d9e182705452fe461a2142c0afa4786d47f19c46 | 2,131 | py | Python | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator, BranchPythonOperator
from datetime import datetime, timedelta
import pandas as pd
import random
# Default args definition
default_args = {
'owner': 'Rafael',
'depends_o... | 25.987805 | 147 | 0.697325 |