hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
417b57d9a12833b40b6e93faf3fe1e15baea9076 | 143 | py | Python | dcm_anon/__main__.py | LilMit/pl-dcm_anon | 084d3f902f8dae32c4ba3a1ec979ef278186062f | [
"MIT"
] | null | null | null | dcm_anon/__main__.py | LilMit/pl-dcm_anon | 084d3f902f8dae32c4ba3a1ec979ef278186062f | [
"MIT"
] | null | null | null | dcm_anon/__main__.py | LilMit/pl-dcm_anon | 084d3f902f8dae32c4ba3a1ec979ef278186062f | [
"MIT"
] | null | null | null | from dcm_anon.dcm_anon import dcm_anon
if __name__ == "__main__":
main()
| 13 | 38 | 0.664336 |
417e4e14a59f787a0882eb60937548a0683d9e66 | 299 | py | Python | app/resources/users/resources/__init__.py | admiralobvious/falcon-boilerplate | eb076ff9e1d6fb1e537b18f86d2228afbf123e19 | [
"MIT"
] | 34 | 2016-10-26T17:19:23.000Z | 2020-04-30T09:12:34.000Z | app/resources/users/resources/__init__.py | admiralobvious/falcon-boilerplate | eb076ff9e1d6fb1e537b18f86d2228afbf123e19 | [
"MIT"
] | 2 | 2019-04-09T11:50:38.000Z | 2019-07-05T03:31:57.000Z | app/resources/users/resources/__init__.py | admiralobvious/falcon-boilerplate | eb076ff9e1d6fb1e537b18f86d2228afbf123e19 | [
"MIT"
] | 12 | 2017-01-14T09:40:24.000Z | 2020-04-16T07:40:56.000Z | import falcon
from app.data.db import setup
from .user import User, UserSchema
from .users import Users
| 19.933333 | 52 | 0.688963 |
417fb5c50105e5ee2c309bd500ecc1c0f5906c48 | 509 | py | Python | Menu.py | Irish-Gambit73/Python-Project | 194c6d6e7c7aa4a9be14ff4f92056b34f893475d | [
"Unlicense"
] | null | null | null | Menu.py | Irish-Gambit73/Python-Project | 194c6d6e7c7aa4a9be14ff4f92056b34f893475d | [
"Unlicense"
] | null | null | null | Menu.py | Irish-Gambit73/Python-Project | 194c6d6e7c7aa4a9be14ff4f92056b34f893475d | [
"Unlicense"
] | null | null | null | from direct.showbase.ShowBase import ShowBase
from panda3d.core import CardMaker, NodePath, loadPrcFileData
from panda3d.core import *
import sys
configVars = """
win-size 1920 1080
show-frame-rate-meter 0
"""
loadPrcFileData("", configVars)
menu = mymenu()
menu.run() | 20.36 | 62 | 0.667976 |
4180c010d94ce77b0775ae90c79802a1245aa772 | 1,999 | py | Python | src/tmdb/api_testing.py | kierrez/movie-website | 74f4ed018aba545dec190b70d62abe0ac6085462 | [
"MIT"
] | 1 | 2019-03-02T20:06:16.000Z | 2019-03-02T20:06:16.000Z | src/tmdb/api_testing.py | kierrez/movie-website | 74f4ed018aba545dec190b70d62abe0ac6085462 | [
"MIT"
] | 1 | 2022-01-07T22:57:41.000Z | 2022-01-07T22:57:41.000Z | src/tmdb/api_testing.py | kierrez/movie-website | 74f4ed018aba545dec190b70d62abe0ac6085462 | [
"MIT"
] | null | null | null | import django
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "mysite.settings")
django.setup()
from django.contrib.auth import get_user_model
from importer.utils import import_ratings_from_csv
from titles.models import Title
from tmdb.api import TmdbWrapper, TitleDetailsGetter
User = get_user_model()
#... | 25.303797 | 100 | 0.72036 |
41822935cee498ccc19d60043c872f0d93b47183 | 1,016 | py | Python | cuhk01/constants.py | hashknot/person-reid | 64a8c441388ea53555669986338af0b40bd854de | [
"MIT"
] | null | null | null | cuhk01/constants.py | hashknot/person-reid | 64a8c441388ea53555669986338af0b40bd854de | [
"MIT"
] | null | null | null | cuhk01/constants.py | hashknot/person-reid | 64a8c441388ea53555669986338af0b40bd854de | [
"MIT"
] | null | null | null | BATCH_SIZE = 100
# Constants describing the training process.
MOVING_AVERAGE_DECAY = 0.9999 # The decay to use for the moving average.
NUM_EPOCHS_PER_DECAY = 50 # Epochs after which learning rate decays.
LEARNING_RATE_DECAY_FACTOR = 0.1 # Learning rate decay factor.
INITIAL_LEARNING_RATE = 0.001 # Ini... | 25.4 | 76 | 0.761811 |
4185a8a08540921d3dabaeb5390caa5b7a13a571 | 9,226 | py | Python | music.py | konsou/autsball | 9252a104c0f107098352ec1857f4ff5bb71931ab | [
"MIT"
] | null | null | null | music.py | konsou/autsball | 9252a104c0f107098352ec1857f4ff5bb71931ab | [
"MIT"
] | 3 | 2017-06-27T13:39:30.000Z | 2017-07-10T10:24:53.000Z | music.py | konsou/autsball | 9252a104c0f107098352ec1857f4ff5bb71931ab | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pygame
import random
import tinytag
import groups
from constants import *
"""
Pit sislln seuraavaa:
class MusicPlayer(pygame.sprite.Sprite): taustamusiikin soittajaclass, osaa nytt infoblurbin biisist
class MusicFile(object): lukee tiedoston tagit ja tallettaa tiedon siit, miss ruuduis... | 36.904 | 136 | 0.638196 |
41862d17d86e2df373c597564852dbddf775109e | 1,567 | py | Python | tensorflow/python/data/experimental/ops/take_while_ops.py | ashutom/tensorflow-upstream | c16069c19de9e286dd664abb78d0ea421e9f32d4 | [
"Apache-2.0"
] | 8 | 2021-08-03T03:57:10.000Z | 2021-12-13T01:19:02.000Z | tensorflow/python/data/experimental/ops/take_while_ops.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 17 | 2021-08-12T19:38:42.000Z | 2022-01-27T14:39:35.000Z | tensorflow/python/data/experimental/ops/take_while_ops.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 4 | 2022-01-13T11:23:44.000Z | 2022-03-02T11:11:42.000Z | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.44186 | 80 | 0.724952 |
418640943981b4a1c0fe6e9418aadaf087804487 | 3,822 | py | Python | tests/e2e/dags/__init__.py | meaningfy-ws/ted-xml-2-rdf | ac26a19f3761b7cf79d79a46be6323b658f067eb | [
"Apache-2.0"
] | null | null | null | tests/e2e/dags/__init__.py | meaningfy-ws/ted-xml-2-rdf | ac26a19f3761b7cf79d79a46be6323b658f067eb | [
"Apache-2.0"
] | null | null | null | tests/e2e/dags/__init__.py | meaningfy-ws/ted-xml-2-rdf | ac26a19f3761b7cf79d79a46be6323b658f067eb | [
"Apache-2.0"
] | null | null | null | from datetime import timezone
from airflow.models import DagRun, TaskInstance
from airflow.utils.types import DagRunType
NORMALISE_NOTICE_METADATA_TASK_ID = "normalise_notice_metadata"
CHECK_ELIGIBILITY_FOR_TRANSFORMATION_TASK_ID = "check_eligibility_for_transformation"
PREPROCESS_XML_MANIFESTATION_TASK_ID = "preproc... | 47.775 | 138 | 0.837781 |
4187de5950df159828a7772938f462e9332f2e53 | 526 | py | Python | ustack_etl/mongo.py | ustudio/ustack-etl | ae0c3104178109cd12ca395122ab12aae72e365a | [
"MIT"
] | 1 | 2019-06-28T16:09:09.000Z | 2019-06-28T16:09:09.000Z | ustack_etl/mongo.py | ustudio/ustack-etl | ae0c3104178109cd12ca395122ab12aae72e365a | [
"MIT"
] | null | null | null | ustack_etl/mongo.py | ustudio/ustack-etl | ae0c3104178109cd12ca395122ab12aae72e365a | [
"MIT"
] | null | null | null | import logging
| 27.684211 | 58 | 0.619772 |
41882a3f1711e24147a99f68566e391ca017719c | 4,794 | py | Python | tiler.py | arancaytar/mcmap-web | 6ce1172c4e785048922cdda98fa88814a48ac2ca | [
"MIT"
] | 5 | 2018-06-01T17:54:10.000Z | 2022-01-06T08:48:26.000Z | tiler.py | arancaytar/mcmap-web | 6ce1172c4e785048922cdda98fa88814a48ac2ca | [
"MIT"
] | null | null | null | tiler.py | arancaytar/mcmap-web | 6ce1172c4e785048922cdda98fa88814a48ac2ca | [
"MIT"
] | null | null | null | import os
import re
import math
import subprocess
import argparse
from wand.image import Image
main()
| 38.352 | 138 | 0.532541 |
4188b579ad1181892d567d0767ea95ba676c48c9 | 6,732 | py | Python | axonius_api_client/api/system/users.py | rwils83/axonius_api_client | 1990ed4d1287482a4648dc51edcaa5eb08255f5b | [
"MIT"
] | null | null | null | axonius_api_client/api/system/users.py | rwils83/axonius_api_client | 1990ed4d1287482a4648dc51edcaa5eb08255f5b | [
"MIT"
] | 3 | 2021-05-18T14:28:30.000Z | 2021-09-06T20:01:56.000Z | axonius_api_client/api/system/users.py | rwils83/axonius_api_client | 1990ed4d1287482a4648dc51edcaa5eb08255f5b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""API model for working with system configuration."""
from typing import List, Optional
from ...exceptions import ApiError, NotFoundError
from ..mixins import ChildMixins
from ..parsers import parse_unchanged
| 33.162562 | 98 | 0.58066 |
4189511087d85647283dbbe71f1c8222d29d8cec | 6,667 | py | Python | comparisontool/tests/test_views.py | mikiec84/django-college-costs-comparison | 319adfe7d4c48332ce08608c57a88555384a8e14 | [
"CC0-1.0"
] | null | null | null | comparisontool/tests/test_views.py | mikiec84/django-college-costs-comparison | 319adfe7d4c48332ce08608c57a88555384a8e14 | [
"CC0-1.0"
] | null | null | null | comparisontool/tests/test_views.py | mikiec84/django-college-costs-comparison | 319adfe7d4c48332ce08608c57a88555384a8e14 | [
"CC0-1.0"
] | null | null | null | import json
import uuid
from django.core import mail
from django.core.urlresolvers import reverse
from django.test import RequestFactory, TestCase
from comparisontool.models import BAHRate, School, Worksheet
from comparisontool.views import (
DataStorageView, WorksheetJsonValidationError, bah_lookup_api,
scho... | 32.842365 | 78 | 0.621119 |
418a47545dba7c6d93ab6c76878963058167ca2f | 6,292 | py | Python | Employee_Retention_Prediction-main/apps/tuning/model_tuner.py | jrderek/Deployment- | eff84d3141136138154d26567d04d61dd76ee842 | [
"MIT"
] | null | null | null | Employee_Retention_Prediction-main/apps/tuning/model_tuner.py | jrderek/Deployment- | eff84d3141136138154d26567d04d61dd76ee842 | [
"MIT"
] | null | null | null | Employee_Retention_Prediction-main/apps/tuning/model_tuner.py | jrderek/Deployment- | eff84d3141136138154d26567d04d61dd76ee842 | [
"MIT"
] | null | null | null |
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from xgboost import XGBClassifier
from sklearn.metrics import roc_auc_score,accuracy_score
from apps.core.logger import Logger
from sklearn.metrics import r2_score
| 39.572327 | 148 | 0.695486 |
418abad5cdf933df3ff6588608512e91ba155c71 | 7,501 | py | Python | CSCA48 - Introduction to CS 2/ex5.py | zaind6/University-CS-Exercises | 2c48a35f2b9e8b96cfc1384e225ced94ae00badc | [
"MIT"
] | 1 | 2020-11-03T01:35:35.000Z | 2020-11-03T01:35:35.000Z | CSCA48 - Introduction to CS 2/ex5.py | zain-zafar/University-CS-Exercises | 2c48a35f2b9e8b96cfc1384e225ced94ae00badc | [
"MIT"
] | null | null | null | CSCA48 - Introduction to CS 2/ex5.py | zain-zafar/University-CS-Exercises | 2c48a35f2b9e8b96cfc1384e225ced94ae00badc | [
"MIT"
] | null | null | null | def rsum(any_list):
'''(list of int) -> int
REQ: Length of the list must be greater than 0
This function will add up all the integers in the given list of integers
>>>rsum([9,1000,-1000,57,78,0])
144
>>>rsum([1])
1
'''
# Base case for one element
if len(any_list) == 1:
# ... | 35.215962 | 79 | 0.592988 |
418bde481cd9a862ca6b0f7d948b2cb9c4751dc4 | 5,165 | py | Python | src/data/dataloader.py | TencentYoutuResearch/SelfSupervisedLearning-DSM | 655a0a23a47bf2559f3d435384ae59a8871a5ff5 | [
"Apache-2.0"
] | 27 | 2021-01-07T11:09:33.000Z | 2021-08-31T02:46:23.000Z | src/data/dataloader.py | TencentYoutuResearch/SelfSupervisedLearning-DSM | 655a0a23a47bf2559f3d435384ae59a8871a5ff5 | [
"Apache-2.0"
] | null | null | null | src/data/dataloader.py | TencentYoutuResearch/SelfSupervisedLearning-DSM | 655a0a23a47bf2559f3d435384ae59a8871a5ff5 | [
"Apache-2.0"
] | 3 | 2021-01-08T08:31:06.000Z | 2021-11-26T04:10:23.000Z | import torch
| 80.703125 | 135 | 0.66544 |
418f86a801fe05cec1886299103a277fc6c78c68 | 30,694 | py | Python | plot_results.py | freedmanlab/Context-Dependent-Gating | 14c6ba0f9ab840a43e236e6a7ca536cc97240ffc | [
"Apache-2.0"
] | null | null | null | plot_results.py | freedmanlab/Context-Dependent-Gating | 14c6ba0f9ab840a43e236e6a7ca536cc97240ffc | [
"Apache-2.0"
] | null | null | null | plot_results.py | freedmanlab/Context-Dependent-Gating | 14c6ba0f9ab840a43e236e6a7ca536cc97240ffc | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pickle
import os
import matplotlib
from itertools import product
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.f... | 35.159221 | 178 | 0.607904 |
418f93f4679d95c3aaf22751edd8bf534824d9d6 | 3,103 | py | Python | code/lib/warn/constants/api_constants.py | JaspervanRooijen/covid-apps-observer | 59f6049a493c80797d83fd24e4a4789a14f3110e | [
"MIT"
] | 2 | 2022-01-21T01:47:03.000Z | 2022-01-22T14:43:40.000Z | ml_src/warn/constants/api_constants.py | li0926/ThorDroid | 1250241181cce2db76877df56a9acceae34461c6 | [
"MIT"
] | null | null | null | ml_src/warn/constants/api_constants.py | li0926/ThorDroid | 1250241181cce2db76877df56a9acceae34461c6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of Androwarn.
#
# Copyright (C) 2012, 2019, Thomas Debize <tdebize at mail.com>
# All rights reserved.
#
# Androwarn is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
#... | 49.253968 | 87 | 0.447631 |
419150dfed5608e1cdb33c4b0424f56f1d20f1e2 | 2,217 | py | Python | pudzu/sandbox/tinytim.py | Udzu/pudzu | 5a0302830b052fc54feba891eb7bf634957a9d90 | [
"MIT"
] | 119 | 2017-07-22T15:02:30.000Z | 2021-08-02T10:42:59.000Z | pudzu/sandbox/tinytim.py | Udzu/pudzu | 5a0302830b052fc54feba891eb7bf634957a9d90 | [
"MIT"
] | null | null | null | pudzu/sandbox/tinytim.py | Udzu/pudzu | 5a0302830b052fc54feba891eb7bf634957a9d90 | [
"MIT"
] | 28 | 2017-08-04T14:28:41.000Z | 2019-11-27T23:46:14.000Z | from collections import namedtuple
from turtle import fd, heading, lt, pd, position, pu, rt, setheading, setposition # pylint: disable=no-name-in-module
from pudzu.utils import weighted_choice
Koch = LSystem("F--F--F", [("F", "F+F--F+F")], 6)
Dragon = LSystem("FX", [("F", ""), ("Y", "+FX--FY+"), ("X", "-FX++FY-")]... | 36.344262 | 130 | 0.47226 |
41925e4d846420538e48424da9d010efc9d36382 | 2,135 | py | Python | modules/nyc_taxi/cleanse.py | likebupt/aml-modules | fcf6c9863cfd56cfca1990de2fcae6269caf1bcf | [
"MIT"
] | null | null | null | modules/nyc_taxi/cleanse.py | likebupt/aml-modules | fcf6c9863cfd56cfca1990de2fcae6269caf1bcf | [
"MIT"
] | null | null | null | modules/nyc_taxi/cleanse.py | likebupt/aml-modules | fcf6c9863cfd56cfca1990de2fcae6269caf1bcf | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license.
import sys
import os
import subprocess
import pandas as pd
from azureml.pipeline.wrapper import dsl
from azureml.pipeline.wrapper.dsl.module import ModuleExecutor, InputDirectory, OutputDirectory, StringParameter
if __name__ == '__ma... | 35.583333 | 117 | 0.690867 |
419270c6a2e0d4e0cffe5ae48720cc87aa15fbca | 1,016 | py | Python | 1301-1400/1363-Largest Multiple of Three/1363-Largest Multiple of Three.py | jiadaizhao/LeetCode | 4ddea0a532fe7c5d053ffbd6870174ec99fc2d60 | [
"MIT"
] | 49 | 2018-05-05T02:53:10.000Z | 2022-03-30T12:08:09.000Z | 1301-1400/1363-Largest Multiple of Three/1363-Largest Multiple of Three.py | jolly-fellow/LeetCode | ab20b3ec137ed05fad1edda1c30db04ab355486f | [
"MIT"
] | 11 | 2017-12-15T22:31:44.000Z | 2020-10-02T12:42:49.000Z | 1301-1400/1363-Largest Multiple of Three/1363-Largest Multiple of Three.py | jolly-fellow/LeetCode | ab20b3ec137ed05fad1edda1c30db04ab355486f | [
"MIT"
] | 28 | 2017-12-05T10:56:51.000Z | 2022-01-26T18:18:27.000Z | import collections
| 33.866667 | 71 | 0.464567 |
4192f33d43a6d4fe88ccb5f98e5c5019eb11c003 | 334 | py | Python | Megatron-LM-v1.1.5-3D_parallelism/megatron/configs/realm.py | Ezra-H/DeepSpeedExamples | 1d96125f4b08e998da108e800f29fa7e322d4914 | [
"MIT"
] | null | null | null | Megatron-LM-v1.1.5-3D_parallelism/megatron/configs/realm.py | Ezra-H/DeepSpeedExamples | 1d96125f4b08e998da108e800f29fa7e322d4914 | [
"MIT"
] | null | null | null | Megatron-LM-v1.1.5-3D_parallelism/megatron/configs/realm.py | Ezra-H/DeepSpeedExamples | 1d96125f4b08e998da108e800f29fa7e322d4914 | [
"MIT"
] | null | null | null |
# network size
ict_head_size = None
# checkpointing
ict_load = None
bert_load = None
# data
titles_data_path = None
query_in_block_prob = 0.1
use_one_sent_docs = False
# training
report_topk_accuracies = []
# faiss index
faiss_use_gpu = False
block_data_path = None
# indexer
indexer_batch_size = 128
indexer_log_i... | 14.521739 | 27 | 0.784431 |
419342be8f3825c855a7713b7897a292adb70455 | 2,779 | py | Python | nao_dcm_apps/nao_dcm_rqt_dashboard/src/nao_dcm_rqt_dashboard/stiffness.py | HeeroYui/nao_dcm | ec8f53cfcc3c7d5c90de444886de09f88cd1972f | [
"BSD-3-Clause"
] | null | null | null | nao_dcm_apps/nao_dcm_rqt_dashboard/src/nao_dcm_rqt_dashboard/stiffness.py | HeeroYui/nao_dcm | ec8f53cfcc3c7d5c90de444886de09f88cd1972f | [
"BSD-3-Clause"
] | null | null | null | nao_dcm_apps/nao_dcm_rqt_dashboard/src/nao_dcm_rqt_dashboard/stiffness.py | HeeroYui/nao_dcm | ec8f53cfcc3c7d5c90de444886de09f88cd1972f | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2014, Konstantinos Chatzilygeroudis
# All rights reserved.
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this list of condition... | 48.754386 | 144 | 0.729399 |
4193bbbe179ececf98d9b6a579f1c5fc14ed6728 | 107 | py | Python | testdemo/pytest_project/run.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 13 | 2020-01-04T07:37:38.000Z | 2021-08-31T05:19:58.000Z | testdemo/pytest_project/run.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 3 | 2020-06-05T22:42:53.000Z | 2020-08-24T07:18:54.000Z | testdemo/pytest_project/run.py | gottaegbert/penter | 8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d | [
"MIT"
] | 9 | 2020-10-19T04:53:06.000Z | 2021-08-31T05:20:01.000Z | import pytest
if __name__ == '__main__':
pytest.main(["-s", "../pytest_project/"])
# | 21.4 | 45 | 0.616822 |
41948c0e96fc3d09b93fb9d28d7bdd77963f1301 | 6,747 | py | Python | layers/hsm.py | ryanai3/TooMuchData | 67028d8b2ba92954f27a53cfad6e433d611eb373 | [
"MIT"
] | null | null | null | layers/hsm.py | ryanai3/TooMuchData | 67028d8b2ba92954f27a53cfad6e433d611eb373 | [
"MIT"
] | null | null | null | layers/hsm.py | ryanai3/TooMuchData | 67028d8b2ba92954f27a53cfad6e433d611eb373 | [
"MIT"
] | null | null | null | import torch
from torch import nn
import torch.nn.functional as nf
from torch.nn import init
from torch.autograd import Variable
import numpy as np
from chainer.links.loss.hierarchical_softmax import TreeParser
#class HSM(nn.Module):
# def __init__(self, input_size, vocab_size):
| 38.335227 | 111 | 0.655106 |
41984c93c4fccdecd96f83c0f4a9f8a26809e9ad | 5,524 | py | Python | trypython/advanced/generator/yield01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 4 | 2019-10-21T11:42:11.000Z | 2020-03-12T16:35:51.000Z | trypython/advanced/generator/yield01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 80 | 2017-02-08T07:55:37.000Z | 2021-10-06T06:30:30.000Z | trypython/advanced/generator/yield01.py | devlights/try-python | 67d1d26476794da81c8c76662486108ce03f8fb4 | [
"MIT"
] | 1 | 2020-03-12T04:37:17.000Z | 2020-03-12T04:37:17.000Z | # coding: utf-8
"""yield
stackoverflow
https://stackoverflow.com/questions/231767/what-does-the-yield-keyword-do-in-python/231855#231855
"""
import time
from datetime import datetime
from trypython.common.commoncls import SampleBase
from trypython.common.commonfunc import pr
| 32.880952 | 107 | 0.453114 |
4198aca2cc9532210c23f611bb17d55ef7abde24 | 2,056 | py | Python | rqalpha/model/benchmark_portfolio.py | HaidongHe/rqalpha | bb824178425909e051c456f6062a6c5bdc816421 | [
"Apache-2.0"
] | 1 | 2020-11-10T05:44:39.000Z | 2020-11-10T05:44:39.000Z | rqalpha/model/benchmark_portfolio.py | HaidongHe/rqalpha | bb824178425909e051c456f6062a6c5bdc816421 | [
"Apache-2.0"
] | null | null | null | rqalpha/model/benchmark_portfolio.py | HaidongHe/rqalpha | bb824178425909e051c456f6062a6c5bdc816421 | [
"Apache-2.0"
] | 1 | 2020-03-05T05:06:45.000Z | 2020-03-05T05:06:45.000Z | # -*- coding: utf-8 -*-
# 2019
#
#
#
# *
# Apache License 2.0Apache 2.0 Apache 2.0 http://www.apache.org/licenses/LICENSE-2.0
#
#
# *
#
# Apache 2.0 Apache 2.0
# public@ricequant.com
from rqalpha.environment import Environment
from rqalpha.const import DAYS_... | 29.371429 | 144 | 0.697471 |
4198c7985f42857aa78326c2c1649445641a52c4 | 1,897 | py | Python | diagnostics/GHIplot.py | amcmahon01/SolarForecasting | 4781f10772178eac0cc7c456c3fa03f68bfb9167 | [
"MIT"
] | 2 | 2020-02-04T22:30:00.000Z | 2020-07-26T13:07:55.000Z | diagnostics/GHIplot.py | amcmahon01/SolarForecasting | 4781f10772178eac0cc7c456c3fa03f68bfb9167 | [
"MIT"
] | 8 | 2020-03-12T15:55:23.000Z | 2021-02-12T23:41:11.000Z | diagnostics/GHIplot.py | amcmahon01/SolarForecasting | 4781f10772178eac0cc7c456c3fa03f68bfb9167 | [
"MIT"
] | 1 | 2021-01-25T15:30:11.000Z | 2021-01-25T15:30:11.000Z | # plot daily box-whisker graphs of GHI data
# Use standard config_handler with .yaml config to parse arguments
from config_handler import handle_config
from datetime import datetime,timezone,date
import pandas as pd
import matplotlib.pyplot as plt
import pysolar.solar as ps
import sys
import time
# note: pathlibs Path ... | 37.94 | 119 | 0.634159 |
4199f294a2e28e1458f5bcf7a7ab4d59791be55e | 497 | py | Python | back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py | gustavocamalionti/cursos-e-linguagens | 615db91aff13db5678a783aac69df11231c925e8 | [
"MIT"
] | null | null | null | back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py | gustavocamalionti/cursos-e-linguagens | 615db91aff13db5678a783aac69df11231c925e8 | [
"MIT"
] | null | null | null | back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py | gustavocamalionti/cursos-e-linguagens | 615db91aff13db5678a783aac69df11231c925e8 | [
"MIT"
] | null | null | null | #Desafio 015: escreva um programa que pergunte a quantidade de km percorridos por um carro alugado e a quantidade de dias pelos quais ele foi alugado. Calcule o preo a pagar, sabendo que o carro custa R$60 por dia e R$0.15 por km rodado.
from math import ceil
n1 = float(input('Quantos dias voc ficou com o carro? '))
n... | 71 | 238 | 0.732394 |
4199fd000a6eeaed645e325824d9e5358133f869 | 4,422 | py | Python | starling_sim/basemodel/output/kpi_output.py | tellae/starling | 56121c728eb5de3dfc77cdf08da89548f3315c87 | [
"CECILL-B"
] | 19 | 2021-02-16T12:32:22.000Z | 2022-01-06T11:16:44.000Z | starling_sim/basemodel/output/kpi_output.py | tellae/starling | 56121c728eb5de3dfc77cdf08da89548f3315c87 | [
"CECILL-B"
] | 20 | 2021-01-13T20:58:07.000Z | 2022-03-21T15:53:07.000Z | starling_sim/basemodel/output/kpi_output.py | tellae/starling | 56121c728eb5de3dfc77cdf08da89548f3315c87 | [
"CECILL-B"
] | null | null | null | from starling_sim.basemodel.output.kpis import KPI
import logging
import pandas as pd
| 30.081633 | 93 | 0.601312 |
419b810a097b707c486896ea644d7ea06d891f98 | 499 | py | Python | examples/pytorch/diffpool/model/tensorized_layers/assignment.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | 9,516 | 2018-12-08T22:11:31.000Z | 2022-03-31T13:04:33.000Z | examples/pytorch/diffpool/model/tensorized_layers/assignment.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | 2,494 | 2018-12-08T22:43:00.000Z | 2022-03-31T21:16:27.000Z | examples/pytorch/diffpool/model/tensorized_layers/assignment.py | ketyi/dgl | a1b859c29b63a673c148d13231a49504740e0e01 | [
"Apache-2.0"
] | 2,529 | 2018-12-08T22:56:14.000Z | 2022-03-31T13:07:41.000Z | import torch
from torch import nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
from model.tensorized_layers.graphsage import BatchedGraphSAGE
| 26.263158 | 69 | 0.707415 |
419c065e166767452e2177fccdab49035d96b6a9 | 1,315 | py | Python | openpype/hosts/webpublisher/plugins/publish/integrate_context_to_log.py | yosuperdope/OpenPype | 0c90df97ddb8cda291a4f66d35da58b3deb94a71 | [
"MIT"
] | 44 | 2019-03-19T04:56:35.000Z | 2021-04-23T12:05:08.000Z | openpype/hosts/webpublisher/plugins/publish/integrate_context_to_log.py | jrsndl/pype | f9d80ef2c0663921291c5f47d24bea51fc43bac7 | [
"MIT"
] | 655 | 2020-03-17T15:10:21.000Z | 2021-04-23T18:22:52.000Z | openpype/hosts/webpublisher/plugins/publish/integrate_context_to_log.py | jrsndl/pype | f9d80ef2c0663921291c5f47d24bea51fc43bac7 | [
"MIT"
] | 21 | 2019-03-19T04:56:38.000Z | 2021-04-23T09:10:59.000Z | import os
import pyblish.api
from openpype.lib import OpenPypeMongoConnection
| 33.717949 | 79 | 0.558175 |
41a1a62b31efa7a1a933f7dd1b0d88b413af3645 | 6,756 | py | Python | demo/myKNN-2.py | wei1224hf/photo-MES | 3cca55cf438bd1917c1fc8d84e655777d92c3298 | [
"BSD-3-Clause"
] | 2 | 2021-05-09T10:43:06.000Z | 2021-05-11T14:24:51.000Z | demo/myKNN-2.py | wei1224hf/photo-MES | 3cca55cf438bd1917c1fc8d84e655777d92c3298 | [
"BSD-3-Clause"
] | null | null | null | demo/myKNN-2.py | wei1224hf/photo-MES | 3cca55cf438bd1917c1fc8d84e655777d92c3298 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
import glob
from imutils import contours
import imutils
arr = [[154,1855,180,1381 ,"box"],[260,343,374,777 ,"t"]]
ab = arr[0]
pt1 = arr[1]
ct = [ int((ab[3]+ab[2])/2), int((ab[1]+ab[0])/2) ]
area1 = [ pt1[0]-ct[1],pt1[1]-ct[1],pt1[2]-ct[0],pt1[3... | 36.322581 | 109 | 0.51495 |
41a1a65579b9b9fb4619e6879a5263fb65b7ed83 | 1,206 | py | Python | gameball/exceptions/gameball_exception.py | aaelfiky/gameball-python | bd7aead60ac53c6539f10a41d9c47e87569ce8c3 | [
"MIT"
] | 1 | 2022-03-15T14:08:06.000Z | 2022-03-15T14:08:06.000Z | gameball/exceptions/gameball_exception.py | aaelfiky/gameball-python | bd7aead60ac53c6539f10a41d9c47e87569ce8c3 | [
"MIT"
] | null | null | null | gameball/exceptions/gameball_exception.py | aaelfiky/gameball-python | bd7aead60ac53c6539f10a41d9c47e87569ce8c3 | [
"MIT"
] | 1 | 2022-01-17T00:38:18.000Z | 2022-01-17T00:38:18.000Z | from __future__ import absolute_import, division, print_function
| 26.8 | 80 | 0.611111 |
41a269ef01a1b76a3d4233ac5822329857bc357f | 968 | py | Python | priority.py | donkirkby/domiculture | eb4258474055846eabd14ec791309354bdfba944 | [
"MIT"
] | 4 | 2017-02-19T03:08:50.000Z | 2021-11-08T12:04:00.000Z | priority.py | donkirkby/donimoes | 100e83e1d8701015e1a06f850935a3f3a52a0f5e | [
"MIT"
] | 68 | 2016-10-07T05:56:40.000Z | 2022-02-14T03:48:53.000Z | priority.py | donkirkby/domiculture | eb4258474055846eabd14ec791309354bdfba944 | [
"MIT"
] | 3 | 2019-07-23T15:40:12.000Z | 2022-03-29T18:25:47.000Z | from heapq import heappush, heappop
| 26.888889 | 66 | 0.553719 |
41a560b70e557b523aecae7aa979cc3792b481c5 | 2,321 | py | Python | speed_friending_matcher/exporter/cliqueexporter.py | machinekoder/speed-friending-matcher | c1d63c44e198497662c561342b64f597cb8623e9 | [
"MIT"
] | 4 | 2018-05-04T15:44:09.000Z | 2019-03-17T04:54:20.000Z | speed_friending_matcher/exporter/cliqueexporter.py | machinekoder/speed-friending-and-dating-matcher | c1d63c44e198497662c561342b64f597cb8623e9 | [
"MIT"
] | 12 | 2017-10-21T10:42:28.000Z | 2019-02-27T10:33:04.000Z | speed_friending_matcher/exporter/cliqueexporter.py | machinekoder/speed-friending-matcher | c1d63c44e198497662c561342b64f597cb8623e9 | [
"MIT"
] | 8 | 2018-01-02T10:14:19.000Z | 2022-01-11T03:17:04.000Z | # -*- coding: utf-8 -*-
from .exporter import Exporter
from .export_tools import create_person_simple_string
HEADER = '''\
Following cliques have been found:
'''
GROUP_TEMPLATE = '''\
TEAM {number}: {count} friends
{friends}
'''
exporter = CliqueExporter
| 31.364865 | 97 | 0.627316 |
41a5b6b38108b4168c957b2862040c55b1835d9d | 360 | py | Python | plugins/avro-java/register.py | arron-green/pants-avro | fda2605cace481e79a8a5027219776af6d896d33 | [
"Apache-2.0"
] | null | null | null | plugins/avro-java/register.py | arron-green/pants-avro | fda2605cace481e79a8a5027219776af6d896d33 | [
"Apache-2.0"
] | null | null | null | plugins/avro-java/register.py | arron-green/pants-avro | fda2605cace481e79a8a5027219776af6d896d33 | [
"Apache-2.0"
] | null | null | null | from pants.build_graph.build_file_aliases import BuildFileAliases
from .targets import AvroJava
from .gen import AvroJavaGen
from pants.goal.task_registrar import TaskRegistrar as task
| 27.692308 | 65 | 0.8 |
41a7633ddffb30cf6b1f5142c98eefc976d7f329 | 1,264 | py | Python | comments/models.py | chench53/jquery-comments-server | 15f4b3dead770846bbb7c0d6aec889c64df6387c | [
"MIT"
] | 2 | 2020-06-02T05:08:30.000Z | 2020-06-02T05:08:33.000Z | comments/models.py | chench53/jquery-comments-server | 15f4b3dead770846bbb7c0d6aec889c64df6387c | [
"MIT"
] | null | null | null | comments/models.py | chench53/jquery-comments-server | 15f4b3dead770846bbb7c0d6aec889c64df6387c | [
"MIT"
] | null | null | null | from django.db import models
from django.utils import timezone
# Create your models here.
| 28.088889 | 96 | 0.711234 |
41a7bf570de5af2196396f6db7d2f68a8abdfe45 | 5,984 | py | Python | ana/fresnel.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 11 | 2020-07-05T02:39:32.000Z | 2022-03-20T18:52:44.000Z | ana/fresnel.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | null | null | null | ana/fresnel.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 4 | 2020-09-03T20:36:32.000Z | 2022-01-19T07:42:21.000Z | #!/usr/bin/env python
#
# Copyright (c) 2019 Opticks Team. All Rights Reserved.
#
# This file is part of Opticks
# (see https://bitbucket.org/simoncblyth/opticks).
#
# 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... | 24.42449 | 92 | 0.546123 |
41a80a7bb2ea9f3edd7fce0c895966513940b18c | 17,695 | py | Python | examples/api-samples/inc_samples/sample31.py | groupdocs-legacy-sdk/python | 80e5ef5a9a14ac4a7815c6cf933b5b2997381455 | [
"Apache-2.0"
] | null | null | null | examples/api-samples/inc_samples/sample31.py | groupdocs-legacy-sdk/python | 80e5ef5a9a14ac4a7815c6cf933b5b2997381455 | [
"Apache-2.0"
] | null | null | null | examples/api-samples/inc_samples/sample31.py | groupdocs-legacy-sdk/python | 80e5ef5a9a14ac4a7815c6cf933b5b2997381455 | [
"Apache-2.0"
] | null | null | null | ### This sample will show how to Create and Upload Envelop to GroupDocs account using Python SDK
# Import of classes from libraries
import os, time, random
from pyramid.renderers import render_to_response
from groupdocs.ApiClient import ApiClient
from groupdocs.StorageApi import StorageApi
from groupdocs.SignatureAp... | 64.345455 | 289 | 0.441989 |
41a8ad6c52784414d3afc665096b267a843b65be | 678 | py | Python | tests/test_data.py | hhsecond/stockroom | d1335773e33493df07cc95f9bb48fbc351313dd6 | [
"Apache-2.0"
] | null | null | null | tests/test_data.py | hhsecond/stockroom | d1335773e33493df07cc95f9bb48fbc351313dd6 | [
"Apache-2.0"
] | null | null | null | tests/test_data.py | hhsecond/stockroom | d1335773e33493df07cc95f9bb48fbc351313dd6 | [
"Apache-2.0"
] | null | null | null | import pytest
import numpy as np
| 24.214286 | 54 | 0.675516 |
41a8d342baf300c3e7063c86b9c63dcb4a0417e4 | 515 | py | Python | pandas_market_calendars/holidays_jp.py | mgellman-radix/pandas_market_calendars | 2de80686267cdbb0b3b6878521fd2aebc6dca3bb | [
"MIT"
] | null | null | null | pandas_market_calendars/holidays_jp.py | mgellman-radix/pandas_market_calendars | 2de80686267cdbb0b3b6878521fd2aebc6dca3bb | [
"MIT"
] | null | null | null | pandas_market_calendars/holidays_jp.py | mgellman-radix/pandas_market_calendars | 2de80686267cdbb0b3b6878521fd2aebc6dca3bb | [
"MIT"
] | null | null | null | from pandas import (
Timestamp
)
# Apr. 30 (Tue.) Abdication Day
# May 1 (Wed.) Accession Day
# May 2 (Thu.) National Holiday
# May 3 (Fri.) Constitution Memorial Day
# May 4 (Sat.) Greenery Day
# May 6 (Mon.) Children's Day (May 5) observed
AscensionDays = [
Timestamp('2019-04-30', tz='Asia/... | 28.611111 | 49 | 0.619417 |
41a8f82ae00ac2a6ba6585edd33f5b6ec99755b6 | 5,226 | py | Python | data/dataframes.py | MichaelVerdegaal/hotel-reviews-sentiment-analysis | a5a66efd09f16830f7d20cb48f6e062890d0a0f0 | [
"MIT"
] | null | null | null | data/dataframes.py | MichaelVerdegaal/hotel-reviews-sentiment-analysis | a5a66efd09f16830f7d20cb48f6e062890d0a0f0 | [
"MIT"
] | null | null | null | data/dataframes.py | MichaelVerdegaal/hotel-reviews-sentiment-analysis | a5a66efd09f16830f7d20cb48f6e062890d0a0f0 | [
"MIT"
] | null | null | null | import os
import re
import nltk
import pandas as pd
from langdetect import detect
from textblob import TextBlob
from config import ROOT_DIR
from data.file_util import (read_scraped_reviews, read_kaggle_reviews, read_manual_reviews, file_exists,
read_pickled_dataframe, pickle_dataframe)
usa... | 30.034483 | 112 | 0.661883 |
41ab43a6c50dd2eb444bcff693eb194504df2b1c | 5,018 | py | Python | starter_bundle/ch20-out_of_the_box/imagenet_pretrained.py | romanroson/pis_code | 1221c39c23bec62ba419f9a324f88b0d8e5e4b5b | [
"MIT"
] | 1 | 2020-06-07T04:02:16.000Z | 2020-06-07T04:02:16.000Z | starter_bundle/ch20-out_of_the_box/imagenet_pretrained.py | romanroson/pis_code | 1221c39c23bec62ba419f9a324f88b0d8e5e4b5b | [
"MIT"
] | null | null | null | starter_bundle/ch20-out_of_the_box/imagenet_pretrained.py | romanroson/pis_code | 1221c39c23bec62ba419f9a324f88b0d8e5e4b5b | [
"MIT"
] | 2 | 2020-03-25T10:51:54.000Z | 2020-09-18T09:36:44.000Z | # -*- coding: utf-8 -*-
"""Classifying Images with Pre-trained ImageNet CNNs.
Lets learn how to classify images with pre-trained Convolutional Neural Networks
using the Keras library.
Example:
$ python imagenet_pretrained.py --image example_images/example_01.jpg --model vgg16
$ python imagenet_pretrained.py -... | 46.462963 | 112 | 0.709247 |
41ad9906c1085415e4a69dffa99b0120b61435c1 | 103 | py | Python | Programmieren_in_Python_2/NumPy_matplotlib/plot_random_numbers.py | ThomasGrafCode/EF_WF_Informatik | d875189bfdb56b5989e2aa567b8e5cf8f009585e | [
"MIT"
] | null | null | null | Programmieren_in_Python_2/NumPy_matplotlib/plot_random_numbers.py | ThomasGrafCode/EF_WF_Informatik | d875189bfdb56b5989e2aa567b8e5cf8f009585e | [
"MIT"
] | null | null | null | Programmieren_in_Python_2/NumPy_matplotlib/plot_random_numbers.py | ThomasGrafCode/EF_WF_Informatik | d875189bfdb56b5989e2aa567b8e5cf8f009585e | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as plt
N = 30
y = np.random.rand(N)
plt.plot(y,'bo') | 14.714286 | 36 | 0.708738 |
41b028aa3880d819cacddc876ce5774ff3b88727 | 1,240 | py | Python | Algo and DSA/LeetCode-Solutions-master/Python/insert-delete-getrandom-o1.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 3,269 | 2018-10-12T01:29:40.000Z | 2022-03-31T17:58:41.000Z | Algo and DSA/LeetCode-Solutions-master/Python/insert-delete-getrandom-o1.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 53 | 2018-12-16T22:54:20.000Z | 2022-02-25T08:31:20.000Z | Algo and DSA/LeetCode-Solutions-master/Python/insert-delete-getrandom-o1.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 1,236 | 2018-10-12T02:51:40.000Z | 2022-03-30T13:30:37.000Z | # Time: O(1)
# Space: O(n)
from random import randint
| 21.754386 | 106 | 0.542742 |
41b065470fffdf9eae5d6c19c821f5e6d4ce2c57 | 3,733 | py | Python | lingvo/jax/layers/__init__.py | drpngx/lingvo | adb50163814fd5dd2f07ac186adaedfe57ba4b2a | [
"Apache-2.0"
] | null | null | null | lingvo/jax/layers/__init__.py | drpngx/lingvo | adb50163814fd5dd2f07ac186adaedfe57ba4b2a | [
"Apache-2.0"
] | null | null | null | lingvo/jax/layers/__init__.py | drpngx/lingvo | adb50163814fd5dd2f07ac186adaedfe57ba4b2a | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | 43.917647 | 82 | 0.835253 |
41b21c34afb4da8fd062144fa479a531bb699708 | 1,763 | py | Python | iter2/utils.py | ramon93i7/iter2 | 7893d78af77cbb3e66e3e0795a3f08e7c162b07e | [
"Apache-2.0"
] | 1 | 2020-11-07T06:04:33.000Z | 2020-11-07T06:04:33.000Z | iter2/utils.py | ramon93i7/iter2 | 7893d78af77cbb3e66e3e0795a3f08e7c162b07e | [
"Apache-2.0"
] | null | null | null | iter2/utils.py | ramon93i7/iter2 | 7893d78af77cbb3e66e3e0795a3f08e7c162b07e | [
"Apache-2.0"
] | null | null | null | import functools
import types
| 25.550725 | 104 | 0.598979 |
41b2f9e9a99ef44dae2779b7bbd38f6de8ad7e95 | 4,523 | py | Python | hp4controller/virtualdevice/archive/hp4loader.py | MNCHr/Hyper4-Controller | 3da4956d29af805d933937e545cbb33fecc4c082 | [
"MIT"
] | null | null | null | hp4controller/virtualdevice/archive/hp4loader.py | MNCHr/Hyper4-Controller | 3da4956d29af805d933937e545cbb33fecc4c082 | [
"MIT"
] | null | null | null | hp4controller/virtualdevice/archive/hp4loader.py | MNCHr/Hyper4-Controller | 3da4956d29af805d933937e545cbb33fecc4c082 | [
"MIT"
] | null | null | null | from virtualdevice import VirtualDevice
import hp4compiler
from hp4translator import InterpretationGuide
def produce_vdev(args):
vdf = VirtualDeviceFactory()
vdf.load(args.output, args.vdevID, args.input)
vdf.writefile(args.input, args.output)
def parse_args(args):
parser = argparse.ArgumentParser(description... | 29.562092 | 87 | 0.589432 |
41b3ecce4c4cf457c5be4734b8ecfb7923dee70c | 3,787 | py | Python | autotweet/twitter.py | Kjwon15/autotweet | c35b68ee1814916fbe9e5a5bd6ea6e75b3cc596e | [
"MIT"
] | 5 | 2015-01-04T16:10:31.000Z | 2020-08-25T06:49:30.000Z | autotweet/twitter.py | Kjwon15/autotweet | c35b68ee1814916fbe9e5a5bd6ea6e75b3cc596e | [
"MIT"
] | null | null | null | autotweet/twitter.py | Kjwon15/autotweet | c35b68ee1814916fbe9e5a5bd6ea6e75b3cc596e | [
"MIT"
] | null | null | null | """:mod:`autotweet.twitter` --- Twitter utilities
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This module contains Twitter API key and some useful methods.
"""
from __future__ import unicode_literals
import cgi
import re
import tweepy
import webbrowser
try:
from HTMLParser import HTMLParser
except ImportErr... | 25.246667 | 73 | 0.659097 |
41b4c165cee002912774e614a621bf94ec4370ae | 951 | py | Python | main.py | Clemson-Esports/ReactionBot | 148934f96c940728072dc8de9cc73f0164679554 | [
"MIT"
] | null | null | null | main.py | Clemson-Esports/ReactionBot | 148934f96c940728072dc8de9cc73f0164679554 | [
"MIT"
] | 7 | 2022-02-06T15:05:18.000Z | 2022-02-28T01:25:17.000Z | main.py | Clemson-Esports/Reaction-Bot | 148934f96c940728072dc8de9cc73f0164679554 | [
"MIT"
] | null | null | null | import json
import discord
import os
from discord.ext import commands
import discord_components
import ErrorHandling
import Reactions
import Help
with open('Bot_Secrets.json', 'r') as botSecrets:
settings = json.load(botSecrets)
TOKEN = settings['BotToken']
intents = discord.Intents.default()
intents.members ... | 27.171429 | 82 | 0.754995 |
41b54267490971fa18558b1ff581557f6e72fe91 | 491 | py | Python | test/integration/test_attributename.py | immijimmi/managedState | cb24aaa288f7ddb12a5042d104f6f0d6ab79828c | [
"MIT"
] | null | null | null | test/integration/test_attributename.py | immijimmi/managedState | cb24aaa288f7ddb12a5042d104f6f0d6ab79828c | [
"MIT"
] | null | null | null | test/integration/test_attributename.py | immijimmi/managedState | cb24aaa288f7ddb12a5042d104f6f0d6ab79828c | [
"MIT"
] | null | null | null | from managedstate import State, AttributeName
| 30.6875 | 79 | 0.688391 |
41b57894f84cea820873a10a935510ce5d26741e | 2,445 | py | Python | restdf/utils/exceptions.py | Mukhopadhyay/restdf | adeb6c188a20ecd9ee7eeafc12111e260072777e | [
"MIT"
] | 3 | 2021-11-07T10:12:48.000Z | 2021-11-11T07:06:25.000Z | restdf/utils/exceptions.py | Mukhopadhyay/restdf | adeb6c188a20ecd9ee7eeafc12111e260072777e | [
"MIT"
] | null | null | null | restdf/utils/exceptions.py | Mukhopadhyay/restdf | adeb6c188a20ecd9ee7eeafc12111e260072777e | [
"MIT"
] | null | null | null | """
Exceptions for RestDF
"""
from typing import Union, List
| 30.5625 | 90 | 0.611043 |
41b57a8acaa54b8ec6e98947784fbd39ad2dadcd | 15,100 | py | Python | pysnmp-with-texts/TFTIF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/TFTIF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/TFTIF-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module TFTIF-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TFTIF-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:16:16 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23... | 160.638298 | 1,207 | 0.753444 |
41b57c0d33d477d09b1dd88ceeff4ea07dbdc75c | 3,585 | py | Python | tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | # -------------------------------
# UFSC - CTC - INE - INE5663
# Exerccio da Matriz de Inteiros
# -------------------------------
# Classe que representa uma matriz de nmeros inteiros.
#
| 33.504673 | 103 | 0.590237 |
41b6767e1bcfb6a72ecdcfb98423ab0320c75e52 | 1,614 | py | Python | alpyro_msgs/trajectory_msgs/multidofjointtrajectory.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | 1 | 2020-12-13T13:07:10.000Z | 2020-12-13T13:07:10.000Z | alpyro_msgs/trajectory_msgs/multidofjointtrajectory.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | null | null | null | alpyro_msgs/trajectory_msgs/multidofjointtrajectory.py | rho2/alpyro_msgs | b5a680976c40c83df70d61bb2db1de32a1cde8d3 | [
"MIT"
] | null | null | null | from typing import List
from typing_extensions import Annotated
from alpyro_msgs import RosMessage, string
from alpyro_msgs.std_msgs.header import Header
from alpyro_msgs.trajectory_msgs.multidofjointtrajectorypoint import MultiDOFJointTrajectoryPoint
| 100.875 | 1,082 | 0.942999 |
41b6954c963fd1c40212d6e6d3a76f68cc1f9063 | 777 | py | Python | Python/python_logging/aula/app.py | wendrewdevelop/Estudos | f75d62574a0455ff35b97d404329e43f12f419fb | [
"MIT"
] | null | null | null | Python/python_logging/aula/app.py | wendrewdevelop/Estudos | f75d62574a0455ff35b97d404329e43f12f419fb | [
"MIT"
] | null | null | null | Python/python_logging/aula/app.py | wendrewdevelop/Estudos | f75d62574a0455ff35b97d404329e43f12f419fb | [
"MIT"
] | null | null | null | '''
Etapas do logger
'''
import logging
# Instancia do objeto getLogger()
logger = logging.getLogger()
# Definindo o level do logger
logger.setLevel(logging.DEBUG)
# formatador do log
formatter = logging.Formatter(
'Data/Hora: %(asctime)s | level: %(levelname)s | file: %(filename)s | mensagem: %(message)s',
... | 21.583333 | 97 | 0.682111 |
41b85e761dcd5f61aa3476d5fcfccf282a2d830b | 675 | py | Python | submissions/joi2009yo/d.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 1 | 2021-05-10T01:16:28.000Z | 2021-05-10T01:16:28.000Z | submissions/joi2009yo/d.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | 3 | 2021-05-11T06:14:15.000Z | 2021-06-19T08:18:36.000Z | submissions/joi2009yo/d.py | m-star18/atcoder | 08e475810516602fa088f87daf1eba590b4e07cc | [
"Unlicense"
] | null | null | null | import sys
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
sys.setrecursionlimit(10 ** 7)
m = int(readline())
n = int(readline())
a = [list(map(int, readline().split())) for _ in range(n)]
ans = 0
for i, aa in enumerate(a):
for j, check in enumerate(aa):
... | 22.5 | 58 | 0.518519 |
41b8fe61ea30cea12c5965b50e3135e870aa3f8f | 1,637 | py | Python | BuildSimHubAPI/measures/hvac_template.py | ruijis/buildsimhub_python_api | 67a88a421a5970b9134a97faf3d52a5a8a6c6258 | [
"MIT"
] | 19 | 2018-02-27T22:58:04.000Z | 2022-02-21T15:03:59.000Z | BuildSimHubAPI/measures/hvac_template.py | ruijis/buildsimhub_python_api | 67a88a421a5970b9134a97faf3d52a5a8a6c6258 | [
"MIT"
] | 11 | 2018-02-15T16:47:53.000Z | 2018-12-19T18:33:20.000Z | BuildSimHubAPI/measures/hvac_template.py | ruijis/buildsimhub_python_api | 67a88a421a5970b9134a97faf3d52a5a8a6c6258 | [
"MIT"
] | 11 | 2018-01-26T02:12:38.000Z | 2019-09-29T12:05:31.000Z | from .model_action import ModelAction
| 34.104167 | 79 | 0.60843 |
41baba6d45efb33b6b1668aec3423b969a4f4ce4 | 1,633 | py | Python | test/mc_init_test.py | lechat/multiconf | c41cbe9ab3fb768a7d4dbd7b9f5d983b1306bde3 | [
"BSD-3-Clause"
] | null | null | null | test/mc_init_test.py | lechat/multiconf | c41cbe9ab3fb768a7d4dbd7b9f5d983b1306bde3 | [
"BSD-3-Clause"
] | null | null | null | test/mc_init_test.py | lechat/multiconf | c41cbe9ab3fb768a7d4dbd7b9f5d983b1306bde3 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2012 Lars Hupfeldt Nielsen, Hupfeldt IT
# All rights reserved. This work is under a BSD license, see LICENSE.TXT.
# pylint: disable=E0611
from pytest import xfail
from .. import ConfigRoot, ConfigItem
from ..envs import EnvFactory
ef = EnvFactory()
dev1 = ef.Env('dev1')
dev2 = ef.Env('dev2')
g_dev ... | 23.666667 | 73 | 0.63319 |
41bc4086c207a194260d052ce2feddf7d01e228c | 3,620 | py | Python | app.py | wisemuffin/San_Francisco_Police_Reports | 450c94bf98fd9fae8e6add76f39fde8ea31c8734 | [
"MIT"
] | 1 | 2020-01-19T00:25:15.000Z | 2020-01-19T00:25:15.000Z | app.py | wisemuffin/San_Francisco_Police_Reports | 450c94bf98fd9fae8e6add76f39fde8ea31c8734 | [
"MIT"
] | null | null | null | app.py | wisemuffin/San_Francisco_Police_Reports | 450c94bf98fd9fae8e6add76f39fde8ea31c8734 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
# from dash.dependencies import Input, Output
#
# import plotly.plotly as py
# import plotly.graph_objs as go
#
# import pandas as pd
# import numpy as np
# from datetime import datetime
# import pandas_datareader... | 36.938776 | 216 | 0.616298 |
41bcd47b1c2d7f3f6218c6526b4655140b0b69e7 | 8,773 | py | Python | pythonSublib/visao_comp/classificacao.py | leohmcs/AVANTLink | 106dfc144ce882f700d69d9b77956577f8cd8422 | [
"Apache-2.0"
] | 5 | 2019-10-07T01:23:37.000Z | 2021-06-21T03:00:11.000Z | pythonSublib/visao_comp/classificacao.py | leohmcs/AVANTLink | 106dfc144ce882f700d69d9b77956577f8cd8422 | [
"Apache-2.0"
] | 5 | 2019-02-27T21:48:13.000Z | 2020-12-20T00:54:39.000Z | pythonSublib/visao_comp/classificacao.py | leohmcs/AVANTLink | 106dfc144ce882f700d69d9b77956577f8cd8422 | [
"Apache-2.0"
] | 9 | 2018-07-19T19:57:39.000Z | 2020-10-16T20:26:37.000Z | import cv2
import numpy as np
import math
import matplotlib.pyplot as plt
from PIL import Image
nome = "triangulo"
img_original = cv2.imread("entradas/" + nome + ".png")
#cv2.imshow('Imagem Original',img_original)
imagem_cinza = cv2.cvtColor(img_original, cv2.COLOR_BGR2GRAY)
#cv2.imshow('Imagem Original',imagem_cinz... | 34.952191 | 203 | 0.70375 |
41be66da2fbff0a708f7b07a6028fd3e0aa7d6ba | 2,179 | py | Python | test/observer/index_file_test.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 9 | 2017-05-24T09:55:34.000Z | 2020-06-22T03:55:51.000Z | test/observer/index_file_test.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 97 | 2016-11-17T16:30:35.000Z | 2021-10-09T00:27:56.000Z | test/observer/index_file_test.py | SpotlightKid/PluginsManager | 2dcc9f6a79b48e9c9be82efffd855352fa15c5c7 | [
"Apache-2.0"
] | 3 | 2017-05-21T19:20:38.000Z | 2019-11-04T23:53:59.000Z | # Copyright 2017 SrMouraSilva
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 31.128571 | 74 | 0.650298 |
41be8ad9b87e428d6c9fb93063564080df1a6f56 | 1,650 | py | Python | plotly/run_funcs.py | NREL/MetMastVis | 0c3dd87540471c061eb491c871fdb32e6dabd31b | [
"Apache-2.0"
] | 1 | 2018-05-25T20:03:48.000Z | 2018-05-25T20:03:48.000Z | plotly/run_funcs.py | nhamilto/MetMast | 38475682adb21081c86c58e9008a278971306c23 | [
"Apache-2.0"
] | null | null | null | plotly/run_funcs.py | nhamilto/MetMast | 38475682adb21081c86c58e9008a278971306c23 | [
"Apache-2.0"
] | 2 | 2018-06-07T20:00:03.000Z | 2020-11-26T21:52:04.000Z | import vis
import utils
import met_funcs
import plotly_vis
import MetMastData
import pandas as pd
import matplotlib.pyplot as plt
from colour import Color
import plotly
from plotly import tools
#import plotly.tools as tls
import plotly.plotly as py
import plotly.graph_objs as go
# Place input files here
#inputfiles_he... | 34.375 | 238 | 0.807273 |
41bfa761ab7c701386be39692e26aaad84e7ea20 | 11,074 | py | Python | Tools/imgfunc/convert_img.py | ka10ryu1/jpegcomp2 | 1cf0e12140ea093725da8959b0ecfd27e2b08c59 | [
"MIT"
] | 1 | 2018-09-28T07:02:22.000Z | 2018-09-28T07:02:22.000Z | Tools/imgfunc/convert_img.py | ka10ryu1/jpegcomp2 | 1cf0e12140ea093725da8959b0ecfd27e2b08c59 | [
"MIT"
] | null | null | null | Tools/imgfunc/convert_img.py | ka10ryu1/jpegcomp2 | 1cf0e12140ea093725da8959b0ecfd27e2b08c59 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*-coding: utf-8 -*-
#
help = '[imgfunc] '
#
import os
import sys
import cv2
import numpy as np
from logging import getLogger
logger = getLogger(__name__)
[sys.path.append(d) for d in ['./Tools/', '../Tools/'] if os.path.isdir(d)]
from func import fileFuncLine
from imgfunc.read_write import g... | 25.399083 | 84 | 0.570435 |
41c1f7279ddbf9791bbaa8022fac20b30c80a639 | 7,268 | py | Python | c15/p449_httplib2_test2.py | HiAwesome/dive-into-python3-practice | e57504cb0683ebca9c80b20ff0cb3878bdcc3f87 | [
"Apache-2.0"
] | null | null | null | c15/p449_httplib2_test2.py | HiAwesome/dive-into-python3-practice | e57504cb0683ebca9c80b20ff0cb3878bdcc3f87 | [
"Apache-2.0"
] | null | null | null | c15/p449_httplib2_test2.py | HiAwesome/dive-into-python3-practice | e57504cb0683ebca9c80b20ff0cb3878bdcc3f87 | [
"Apache-2.0"
] | null | null | null | from pprint import pprint
import httplib2
from file_path_collect import output_cache_path_dir as cache
httplib2.debuglevel = 1
h = httplib2.Http(cache)
#
jianshu = 'https://www.jianshu.com/'
# cache
response0, content0 = h.request(jianshu)
print()
response, content = h.request(jianshu)
print()
print(len(conten... | 49.108108 | 603 | 0.718079 |
41c45ed05c4758d4e2d6a787be613269792fe8b5 | 354 | py | Python | spikey/snn/readout/__init__.py | SpikeyCNS/spikey | 03a49073491974eff01bc017fd8eadb822e13f0d | [
"MIT"
] | 4 | 2021-02-25T20:53:41.000Z | 2022-01-18T15:27:07.000Z | spikey/snn/readout/__init__.py | SpikeyCNS/spikey | 03a49073491974eff01bc017fd8eadb822e13f0d | [
"MIT"
] | 5 | 2021-03-06T05:35:10.000Z | 2021-03-31T09:27:57.000Z | spikey/snn/readout/__init__.py | SpikeyCNS/spikey | 03a49073491974eff01bc017fd8eadb822e13f0d | [
"MIT"
] | null | null | null | """
Readout __init__.
"""
try:
from spikey.snn.readout.threshold import Threshold
from spikey.snn.readout.neuron_rates import NeuronRates
from spikey.snn.readout.population_vector import PopulationVector
from spikey.snn.readout.topaction import TopAction
except ImportError as e:
raise ImportError(f"... | 32.181818 | 69 | 0.776836 |
41c4a4c7f8fa7bfdd7d61a41f1278a69f5304239 | 678 | py | Python | robust_offline_contextual_bandits/test/named_results_test.py | dmorrill10/research2018 | 3604e3fb774f6d882e41cc217ceb85038d3775e5 | [
"MIT"
] | null | null | null | robust_offline_contextual_bandits/test/named_results_test.py | dmorrill10/research2018 | 3604e3fb774f6d882e41cc217ceb85038d3775e5 | [
"MIT"
] | null | null | null | robust_offline_contextual_bandits/test/named_results_test.py | dmorrill10/research2018 | 3604e3fb774f6d882e41cc217ceb85038d3775e5 | [
"MIT"
] | null | null | null | import tensorflow as tf
from robust_offline_contextual_bandits.named_results import NamedResults
import numpy as np
if __name__ == '__main__':
tf.test.main()
| 29.478261 | 72 | 0.648968 |
41c58dfd1e2400f8d789ceb0424c0287fdc36060 | 1,622 | py | Python | examples/pubsub_broadcaster_server_example.py | sondrelg/fastapi_websocket_pubsub | 6aaa0a90d736620b7229d7af06acb40e60716ce7 | [
"MIT"
] | 125 | 2021-02-08T11:16:12.000Z | 2022-03-31T18:42:21.000Z | examples/pubsub_broadcaster_server_example.py | sondrelg/fastapi_websocket_pubsub | 6aaa0a90d736620b7229d7af06acb40e60716ce7 | [
"MIT"
] | 11 | 2021-03-10T07:47:15.000Z | 2021-11-23T09:00:43.000Z | examples/pubsub_broadcaster_server_example.py | sondrelg/fastapi_websocket_pubsub | 6aaa0a90d736620b7229d7af06acb40e60716ce7 | [
"MIT"
] | 11 | 2021-02-25T21:01:25.000Z | 2022-03-24T20:52:50.000Z | """
Multiple Servers linked via broadcaster example.
To run this example.
- 0. Setup a broadcast medium and pass its configuration to the endpoint (e.g. postgres on 'postgres://localhost:5432/' )
- 1. run this script for the servers (as many instances as you'd like) - use the PORT env-variable to run them on differ... | 30.037037 | 139 | 0.741677 |
41c671a28baa4a3f74bfc396e33c985bddd2a406 | 1,977 | py | Python | tests/test_utils_sizing.py | lcsgrlch/oap | b1e2e15118d5b73edf5d1848ccbc207921ecbf91 | [
"MIT"
] | null | null | null | tests/test_utils_sizing.py | lcsgrlch/oap | b1e2e15118d5b73edf5d1848ccbc207921ecbf91 | [
"MIT"
] | null | null | null | tests/test_utils_sizing.py | lcsgrlch/oap | b1e2e15118d5b73edf5d1848ccbc207921ecbf91 | [
"MIT"
] | null | null | null | """
Testing all methods from oap.utils.sizing
"""
import unittest
import oap
from tests.data import array01_original as array
| 38.019231 | 101 | 0.706626 |
41c6b25db97ed211a457a3a156e943c7769ba1da | 4,009 | py | Python | advent_of_code/day_04/solution.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | advent_of_code/day_04/solution.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | advent_of_code/day_04/solution.py | novotl/advent_of_code | 07e14d2107efcdecce8355b718d93cd1ac9edd4a | [
"MIT"
] | null | null | null | from typing import Iterable
from copy import deepcopy
from advent_of_code.runner import PuzzleTemplate
from dataclasses import dataclass, field
| 32.860656 | 98 | 0.572462 |
41c78c68d065b859c2c2e5291510d5c31db6e4ea | 3,166 | py | Python | pandaserver/test/testSimulReco14.py | rybkine/panda-server | 30fdeaa658a38fe2049849446c300c1e1f5b5231 | [
"Apache-2.0"
] | 1 | 2019-08-30T13:47:51.000Z | 2019-08-30T13:47:51.000Z | pandaserver/test/testSimulReco14.py | mkycanopus/panda-server | 0f7c36800c033fada8bbde53dceaab98770b6df2 | [
"Apache-2.0"
] | null | null | null | pandaserver/test/testSimulReco14.py | mkycanopus/panda-server | 0f7c36800c033fada8bbde53dceaab98770b6df2 | [
"Apache-2.0"
] | null | null | null | import sys
import time
import random
import commands
import userinterface.Client as Client
from taskbuffer.JobSpec import JobSpec
from taskbuffer.FileSpec import FileSpec
if len(sys.argv)>1:
site = sys.argv[1]
cloud = None
else:
site = None
cloud = 'US'
#cloud = 'TW'
#Recent changes (BNL migrati... | 31.039216 | 259 | 0.669299 |
41c7bcd341ef6d9db7278e79f57fd4a8cff03453 | 8,012 | py | Python | TweakApi/models/billing_source_sofort.py | tweak-com-public/tweak-api-client-python | 019f86da11fdb12683d516f8f37db5d717380bcc | [
"Apache-2.0"
] | null | null | null | TweakApi/models/billing_source_sofort.py | tweak-com-public/tweak-api-client-python | 019f86da11fdb12683d516f8f37db5d717380bcc | [
"Apache-2.0"
] | null | null | null | TweakApi/models/billing_source_sofort.py | tweak-com-public/tweak-api-client-python | 019f86da11fdb12683d516f8f37db5d717380bcc | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
tweak-api
Tweak API to integrate with all the Tweak services. You can find out more about Tweak at <a href='https://www.tweak.com'>https://www.tweak.com</a>, #tweak.
OpenAPI spec version: 1.0.8-beta.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
... | 25.928803 | 165 | 0.585122 |
41c7dd5c53f3f8717ce8a20c270e0535db91de86 | 3,889 | py | Python | mnt/airflow/dags/product_lookup_pipeline.py | dataength/automating-your-data-pipeline-with-apache-airflow | 19b7fe4a41874708c5927b7c32f9840f4285090c | [
"MIT"
] | 30 | 2020-07-09T17:37:47.000Z | 2022-01-19T04:17:02.000Z | mnt/airflow/dags/product_lookup_pipeline.py | mizzony/automating-your-data-pipeline-with-apache-airflow | 90a1351de6de78c0f0a6fb2e778e2ba3b7c78f5e | [
"MIT"
] | 38 | 2021-08-12T08:01:47.000Z | 2022-03-29T22:29:27.000Z | mnt/airflow/dags/product_lookup_pipeline.py | mizzony/automating-your-data-pipeline-with-apache-airflow | 90a1351de6de78c0f0a6fb2e778e2ba3b7c78f5e | [
"MIT"
] | 22 | 2020-07-10T02:41:39.000Z | 2022-03-23T22:08:52.000Z | import csv
import logging
from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.dummy import DummyOperator
from airflow.providers.apache.hive.operators.hive import HiveOperator
from airflow.operators.python import PythonOperator
from airflow.providers.postgres.hooks.postgres im... | 31.112 | 197 | 0.665981 |
41c9182645d673acce1bb52cd27576b1ae48e413 | 2,564 | py | Python | clovars/bio/treatment.py | jfaccioni/clovars | 64e24286a2dc185490384aeb08027d88eb9462c4 | [
"MIT"
] | null | null | null | clovars/bio/treatment.py | jfaccioni/clovars | 64e24286a2dc185490384aeb08027d88eb9462c4 | [
"MIT"
] | null | null | null | clovars/bio/treatment.py | jfaccioni/clovars | 64e24286a2dc185490384aeb08027d88eb9462c4 | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import TYPE_CHECKING, Any
from clovars.scientific import Gaussian, get_curve
if TYPE_CHECKING:
from clovars.scientific import Curve
def get_treatment(
name: str = '',
division_curve: dict[str, Any] | None = None,
death_curve: dict[str, Any... | 32.05 | 75 | 0.613105 |
41caa407faa0f887428504d5f4adbe6e39ba8215 | 1,550 | py | Python | lookup_api_v1/api_handler/types.py | markspolakovs/coronavirus-dashboard-api-v1 | 5f9a7a62f5b361f7d2805bcd35ea0ccc5aa0bd4c | [
"MIT"
] | null | null | null | lookup_api_v1/api_handler/types.py | markspolakovs/coronavirus-dashboard-api-v1 | 5f9a7a62f5b361f7d2805bcd35ea0ccc5aa0bd4c | [
"MIT"
] | 65 | 2020-12-03T20:15:58.000Z | 2022-03-17T09:06:52.000Z | lookup_api_v1/api_handler/types.py | markspolakovs/coronavirus-dashboard-api-v1 | 5f9a7a62f5b361f7d2805bcd35ea0ccc5aa0bd4c | [
"MIT"
] | 1 | 2020-12-07T13:45:20.000Z | 2020-12-07T13:45:20.000Z | #!/usr/bin python3
"""
Type definitions
----------------
Custom type hint definitions used across the API service.
Author: Pouria Hadjibagheri <pouria.hadjibagheri@phe.gov.uk>
Created: 23 May 2020
License: MIT
Contributors: Pouria Hadjibagheri
"""
# Imports
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... | 21.527778 | 90 | 0.568387 |
41cb6174b0eb3f32fce935cceb7087df91f7622f | 595 | py | Python | src/help/text/chsh.py | Hamzah-z/user-scripts | b345c812d45f1bd872c771809ecd3c0330ca236e | [
"Apache-2.0"
] | 1 | 2019-12-18T19:49:45.000Z | 2019-12-18T19:49:45.000Z | src/help/text/chsh.py | Hamzah-z/user-scripts | b345c812d45f1bd872c771809ecd3c0330ca236e | [
"Apache-2.0"
] | null | null | null | src/help/text/chsh.py | Hamzah-z/user-scripts | b345c812d45f1bd872c771809ecd3c0330ca236e | [
"Apache-2.0"
] | 1 | 2021-06-13T00:08:02.000Z | 2021-06-13T00:08:02.000Z | """chfn help text"""
CHSH = dict(
text="""chsh changes your "shell" on Redbrick.
** WARNING - Do not use this command if you are unsure
** of what you are doing! :-)
A "Shell" is the style of command line environment on RedBrick.
It is essentially, the 'prompt' and set of commands that you get
when you log in.
... | 27.045455 | 64 | 0.736134 |
41cc6ae2442a70cc296bd15389db7a02e9f370af | 1,996 | py | Python | Cluster/k-means_tutorial.py | MarkWh1te/MLAlgorithms | 1a3ba3adcbfe379a78a4508ae9433c78270d77f5 | [
"MIT"
] | null | null | null | Cluster/k-means_tutorial.py | MarkWh1te/MLAlgorithms | 1a3ba3adcbfe379a78a4508ae9433c78270d77f5 | [
"MIT"
] | null | null | null | Cluster/k-means_tutorial.py | MarkWh1te/MLAlgorithms | 1a3ba3adcbfe379a78a4508ae9433c78270d77f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
np.random.seed(0)
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
def initialize_clusters(points, k):
"""Initializes clusters as k randomly selected points from points."""
return points[np.random.randint(points.shape[0], size=k)]
# Function ... | 29.791045 | 96 | 0.698397 |
41cccc5396748efdf0684e52b6a1992b167b0dcf | 3,612 | py | Python | test/test_server.py | gomezportillo/apolo | 8811fd805086d22ac15243eef43fc9be77be5484 | [
"MIT"
] | 1 | 2018-10-08T09:45:53.000Z | 2018-10-08T09:45:53.000Z | test/test_server.py | gomezportillo/cloud-computing | 8811fd805086d22ac15243eef43fc9be77be5484 | [
"MIT"
] | 30 | 2018-10-26T15:48:37.000Z | 2019-01-22T18:52:42.000Z | test/test_server.py | gomezportillo/cloud-computing | 8811fd805086d22ac15243eef43fc9be77be5484 | [
"MIT"
] | 3 | 2018-11-30T14:40:29.000Z | 2019-01-01T23:07:32.000Z | import unittest
import requests
import json
if __name__ == '__main__':
unittest.main()
| 31.964602 | 85 | 0.629014 |
41cde944efb368315e222c2b9157667041eb8d7e | 921 | py | Python | modulo_7/src/4_diferencia_antipodas.py | SRendonn/analisis-diseno-algoritmos | 16afc95f7a473c067a6bade5b70e458da53f70f7 | [
"MIT"
] | null | null | null | modulo_7/src/4_diferencia_antipodas.py | SRendonn/analisis-diseno-algoritmos | 16afc95f7a473c067a6bade5b70e458da53f70f7 | [
"MIT"
] | null | null | null | modulo_7/src/4_diferencia_antipodas.py | SRendonn/analisis-diseno-algoritmos | 16afc95f7a473c067a6bade5b70e458da53f70f7 | [
"MIT"
] | null | null | null |
N, i = [int(x) for x in input().split()]
lista = []
for j in range(N):
lista.append(int(input()))
print(abs(find_k(lista, 0, len(lista) - 1, N - i) -
find_k(lista, 0, len(lista) - 1, i - 1)))
| 26.314286 | 65 | 0.522258 |
41ce532a4040ebb98f597bfd44d50c48154e9a75 | 171 | py | Python | avx512-cnnopt/TileLoopGenerator/solver/main.py | Mastli/ASPLOS_artifact | 1a592f7cfb0592f0a786e156a249087b56a4e647 | [
"BSD-4-Clause"
] | 7 | 2021-05-21T02:01:50.000Z | 2021-11-22T05:51:22.000Z | avx512-cnnopt/TileLoopGenerator/solver/main.py | Mastli/ASPLOS_artifact | 1a592f7cfb0592f0a786e156a249087b56a4e647 | [
"BSD-4-Clause"
] | null | null | null | avx512-cnnopt/TileLoopGenerator/solver/main.py | Mastli/ASPLOS_artifact | 1a592f7cfb0592f0a786e156a249087b56a4e647 | [
"BSD-4-Clause"
] | 3 | 2021-03-27T13:11:21.000Z | 2021-11-01T15:40:35.000Z | from SymbolPool import *
from Tensor import *
from LoopStacker import *
from Test import *
if __name__ == "__main__":
main() | 13.153846 | 26 | 0.649123 |
68b72f9cf752c76a687108c02d9066d2f68554b7 | 908 | py | Python | step3_upload_to_s3.py | OpenKBC/deg-pipeline-batch-image | 0b640d1b3209ad216eed0909fa577451cbe323d4 | [
"MIT"
] | null | null | null | step3_upload_to_s3.py | OpenKBC/deg-pipeline-batch-image | 0b640d1b3209ad216eed0909fa577451cbe323d4 | [
"MIT"
] | null | null | null | step3_upload_to_s3.py | OpenKBC/deg-pipeline-batch-image | 0b640d1b3209ad216eed0909fa577451cbe323d4 | [
"MIT"
] | null | null | null | __author__ = "Junhee Yoon"
__version__ = "1.0.0"
__maintainer__ = "Junhee Yoon"
__email__ = "swiri021@gmail.com"
"""
Description: This is batch job for uploading result file to S3.
"""
import os
import argparse
from libraries.botoClass import botoHandler
## argparse setting
parser = argparse.ArgumentParser(prog='step... | 31.310345 | 81 | 0.712555 |
68bb9912ef13f9b892f27cca3983560845ebbab2 | 1,926 | py | Python | algorithms/2.1_add_two_numbers.py | ycpeng7/leetcode_challenges | 1a55e2af08f8b5c5d204c16cc161721ffe7d6647 | [
"MIT"
] | null | null | null | algorithms/2.1_add_two_numbers.py | ycpeng7/leetcode_challenges | 1a55e2af08f8b5c5d204c16cc161721ffe7d6647 | [
"MIT"
] | null | null | null | algorithms/2.1_add_two_numbers.py | ycpeng7/leetcode_challenges | 1a55e2af08f8b5c5d204c16cc161721ffe7d6647 | [
"MIT"
] | null | null | null | #-------------------------------------------------------------------------------
# Add Two Numbers
#-------------------------------------------------------------------------------
# By Ying Peng
# https://leetcode.com/problems/add-two-numbers/
# Completed 12/3/20
#----------------------------------------------------... | 27.514286 | 80 | 0.330737 |
68bd3511181a0ce3a2e7e28973f1e99a98020c70 | 3,953 | py | Python | backend/api/viewsets/vehicle.py | amichard/zeva | 19ba22b07946674cc31a48c632aceca594a53e1a | [
"Apache-2.0"
] | null | null | null | backend/api/viewsets/vehicle.py | amichard/zeva | 19ba22b07946674cc31a48c632aceca594a53e1a | [
"Apache-2.0"
] | null | null | null | backend/api/viewsets/vehicle.py | amichard/zeva | 19ba22b07946674cc31a48c632aceca594a53e1a | [
"Apache-2.0"
] | null | null | null | from rest_framework import mixins, viewsets
from rest_framework.decorators import action
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from api.models.model_year import ModelYear
from api.models.vehicle import Vehicle, VehicleDefinitionStatuses
from api.models.vehicle_cla... | 31.879032 | 102 | 0.663294 |
68bd8231126ef0d9ff6ee74b1940ca4d28ca1498 | 5,074 | py | Python | timelight_ai_python_api_client/models/__init__.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | timelight_ai_python_api_client/models/__init__.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | timelight_ai_python_api_client/models/__init__.py | timelight-ai/python-api-client | 7e14341a89e8b7e1b4b0730416f6ddd3ef66ef39 | [
"MIT"
] | null | null | null | # coding: utf-8
# flake8: noqa
"""
timelight
This is the timelight api. # noqa: E501
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# import models into model package
from timelight_ai_python_api_client.mo... | 69.506849 | 123 | 0.917422 |
68be90104be80974dc3c67a611df81f62dbaabc1 | 1,620 | py | Python | Chapter03/plot_convolution.py | arifmudi/Advanced-Deep-Learning-with-Python | 180cae0ec62857670bfc2a4d566857030adc4905 | [
"MIT"
] | 107 | 2019-12-09T13:49:33.000Z | 2021-08-31T03:23:39.000Z | Chapter03/plot_convolution.py | bwantan/Advanced-Deep-Learning-with-Python | 083f63dfc0c5f404143552ea20d560b06ec303f5 | [
"MIT"
] | null | null | null | Chapter03/plot_convolution.py | bwantan/Advanced-Deep-Learning-with-Python | 083f63dfc0c5f404143552ea20d560b06ec303f5 | [
"MIT"
] | 48 | 2019-12-05T05:30:51.000Z | 2022-03-22T02:03:00.000Z | import matplotlib.pyplot as plt
import numpy as np
signal = np.zeros(30000)
signal[10000:20000] = 1
kernel = np.zeros(30000)
kernel[10000:20000] = np.linspace(1, 0, 10000)
plot_convolution(signal, kernel)
plot_convolution_step_by_step(signal, kernel)
| 25.3125 | 56 | 0.62284 |
68bf0b03006f00f183ed52d981b3c274ac0142ec | 700 | py | Python | materialist/commonconstants.py | srungta/i-materialist | 0899593e0de0f311ff2dd4e76900ee4bd07895d7 | [
"MIT"
] | null | null | null | materialist/commonconstants.py | srungta/i-materialist | 0899593e0de0f311ff2dd4e76900ee4bd07895d7 | [
"MIT"
] | null | null | null | materialist/commonconstants.py | srungta/i-materialist | 0899593e0de0f311ff2dd4e76900ee4bd07895d7 | [
"MIT"
] | null | null | null | DATA_FOLDER = './materialist/data'
TEST_FOLDER = './materialist/data/test'
TRAIN_FOLDER = './materialist/data/train'
VALIDATION_FOLDER = './materialist/data/validation'
TEST_FILE = './materialist/data/test.json'
TRAIN_FILE = './materialist/data/train.json'
VALIDATION_FILE = './materialist/data/validation.json'
TEST_... | 35 | 70 | 0.78 |
68bf99c7dad36ea5c5f85c9c40a52a0873cbd213 | 7,202 | py | Python | vision/src/VisionROS/dialogConfigROS.py | victoriapc/HockusPockus | 2130b462b0038a527061744ab7faf20c2996c04f | [
"BSD-3-Clause"
] | null | null | null | vision/src/VisionROS/dialogConfigROS.py | victoriapc/HockusPockus | 2130b462b0038a527061744ab7faf20c2996c04f | [
"BSD-3-Clause"
] | 52 | 2020-01-15T16:45:32.000Z | 2020-04-19T12:00:01.000Z | vision/src/VisionROS/dialogConfigROS.py | victoriapc/HockusPockus | 2130b462b0038a527061744ab7faf20c2996c04f | [
"BSD-3-Clause"
] | 4 | 2020-01-15T15:11:08.000Z | 2021-01-11T17:41:07.000Z | import threading
import copy
import time
from VisionROS.ROS_CONSTANTS import *
from VisionUtils.TableDimensions import TableDimensions
try:
import rospy
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
from geometry_msgs.msg import Point
from std_msgs.msg import Int32... | 41.390805 | 144 | 0.713968 |
68c3b0e3c32c4d0937107143623d703a7f6d4cba | 2,279 | py | Python | todo/bucketlist/tests/test_models.py | NdagiStanley/not-by-might | 5216c066c0869056e47259b33e42f375366f022c | [
"MIT"
] | 1 | 2019-01-15T20:18:50.000Z | 2019-01-15T20:18:50.000Z | todo/bucketlist/tests/test_models.py | NdagiStanley/not-by-might | 5216c066c0869056e47259b33e42f375366f022c | [
"MIT"
] | 17 | 2018-09-24T16:46:30.000Z | 2019-01-21T17:19:26.000Z | todo/bucketlist/tests/test_models.py | NdagiStanley/not-by-might | 5216c066c0869056e47259b33e42f375366f022c | [
"MIT"
] | 1 | 2016-04-13T11:16:27.000Z | 2016-04-13T11:16:27.000Z | import datetime
from django.test import TestCase
from django.core.urlresolvers import reverse
from ..models import Bucketlist, BucketlistItem, User
| 39.982456 | 94 | 0.678806 |
68c3f71371da194345e2c06a2e4bb2bc19f623aa | 126 | py | Python | skyportal/facility_apis/__init__.py | steveschulze/skyportal | 47e334d71e34e82ff41bd0e32326e4107741e8e6 | [
"BSD-3-Clause"
] | null | null | null | skyportal/facility_apis/__init__.py | steveschulze/skyportal | 47e334d71e34e82ff41bd0e32326e4107741e8e6 | [
"BSD-3-Clause"
] | null | null | null | skyportal/facility_apis/__init__.py | steveschulze/skyportal | 47e334d71e34e82ff41bd0e32326e4107741e8e6 | [
"BSD-3-Clause"
] | null | null | null | from .interface import FollowUpAPI, Listener
from .sedm import SEDMAPI, SEDMListener
from .lt import IOOAPI, IOIAPI, SPRATAPI
| 31.5 | 44 | 0.81746 |
68c41f425ed9a900c2ffb53250f96b3e217dd617 | 507 | py | Python | etsy_convos/convos/filters.py | jessehon/etsy-convos | 34631f49ec745fa11611af6122a7522adc16d241 | [
"BSD-3-Clause"
] | 2 | 2018-12-17T15:47:43.000Z | 2020-02-29T19:47:30.000Z | etsy_convos/convos/filters.py | jessehon/etsy-convos | 34631f49ec745fa11611af6122a7522adc16d241 | [
"BSD-3-Clause"
] | 2 | 2017-07-12T02:45:33.000Z | 2017-11-02T00:37:59.000Z | etsy_convos/convos/filters.py | jessehon/etsy-convos | 34631f49ec745fa11611af6122a7522adc16d241 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from rest_framework import filters
| 36.214286 | 64 | 0.719921 |
68c4d4265afe5b1a41c37f73f622f02a4950d729 | 7,797 | py | Python | rocAL/rocAL_pybind/example/tf_mnistTrainingExample/tf_mnist_classification_rali.py | asalmanp/MIVisionX | a964774944331827c8d6e9bb1ffbb2578f335056 | [
"MIT"
] | 153 | 2018-12-20T19:33:15.000Z | 2022-03-30T03:51:14.000Z | rocAL/rocAL_pybind/example/tf_mnistTrainingExample/tf_mnist_classification_rali.py | asalmanp/MIVisionX | a964774944331827c8d6e9bb1ffbb2578f335056 | [
"MIT"
] | 484 | 2019-01-02T23:51:58.000Z | 2022-03-31T15:52:43.000Z | rocAL/rocAL_pybind/example/tf_mnistTrainingExample/tf_mnist_classification_rali.py | asalmanp/MIVisionX | a964774944331827c8d6e9bb1ffbb2578f335056 | [
"MIT"
] | 105 | 2018-12-21T00:02:38.000Z | 2022-03-25T15:44:02.000Z |
from __future__ import print_function
from amd.rali.plugin.tf import RALIIterator
from amd.rali.pipeline import Pipeline
import amd.rali.ops as ops
import amd.rali.types as types
import sys
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import numpy as np
############################### HYPER PARAMETERS F... | 42.375 | 258 | 0.702193 |
68c576960ed4b14647e54e0f97d34c5fc34587e3 | 22 | py | Python | src/cnpj/seek/__init__.py | pedromxavier/cnpj | 0b0f4914a49866990e484a03111f3b2c80d83aaa | [
"MIT"
] | 1 | 2021-03-13T13:47:40.000Z | 2021-03-13T13:47:40.000Z | src/cnpj/seek/__init__.py | pedromxavier/cnpj | 0b0f4914a49866990e484a03111f3b2c80d83aaa | [
"MIT"
] | null | null | null | src/cnpj/seek/__init__.py | pedromxavier/cnpj | 0b0f4914a49866990e484a03111f3b2c80d83aaa | [
"MIT"
] | null | null | null | from .seek import seek | 22 | 22 | 0.818182 |
68c69cdec506eb8316038799ca2554afbcc61e60 | 513 | py | Python | youtube_mp3/main.py | ewenchou/youtube-mp3 | 58aabceb199d09f95c4a877638c2202a9506ec79 | [
"MIT"
] | null | null | null | youtube_mp3/main.py | ewenchou/youtube-mp3 | 58aabceb199d09f95c4a877638c2202a9506ec79 | [
"MIT"
] | null | null | null | youtube_mp3/main.py | ewenchou/youtube-mp3 | 58aabceb199d09f95c4a877638c2202a9506ec79 | [
"MIT"
] | null | null | null | # coding=utf8
# Main executable for download
import sys, traceback
import pprint
from youtube_mp3 import YouTubeMP3
if __name__ == '__main__':
if len(sys.argv) != 2:
raise ValueError("Missing URL argument")
yt = YouTubeMP3()
url = sys.argv[1]
data_list = yt.download(url)
print(data_list)
... | 23.318182 | 48 | 0.637427 |
68c8c49a947bfb4e3cdee097d291390bb5c31758 | 1,726 | py | Python | tests/test_backup.py | RSabet/rolling-backup | 9dcc9ca350d1e5d4d1ee031c36487253c60eafa0 | [
"MIT"
] | null | null | null | tests/test_backup.py | RSabet/rolling-backup | 9dcc9ca350d1e5d4d1ee031c36487253c60eafa0 | [
"MIT"
] | null | null | null | tests/test_backup.py | RSabet/rolling-backup | 9dcc9ca350d1e5d4d1ee031c36487253c60eafa0 | [
"MIT"
] | null | null | null | import random
import pytest
from rolling_backup import backup
CONTENT = "Hello"
| 28.295082 | 95 | 0.616454 |
68caf27fb5451631df049d1573b4235a1bdc14a4 | 7,705 | py | Python | post/views.py | agiledesign2/drf-blog-post | a0dc7457e9e85e6b1a1f3aa81036b81f7054734f | [
"MIT"
] | null | null | null | post/views.py | agiledesign2/drf-blog-post | a0dc7457e9e85e6b1a1f3aa81036b81f7054734f | [
"MIT"
] | 1 | 2020-05-16T09:44:57.000Z | 2020-05-16T09:44:57.000Z | posts/views.py | agiledesign2/django-blog-post | 318636682b9d4993b5ef7c3e8ead8bb5460aba01 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect, get_object_or_404
from django.utils import timezone
from .models import Post, Category
from taggit.models import Tag
from .forms import AddPostForm
#from .validator import group_required
# complex lookups (for searching)
from django.db.models import Q
from django.urls ... | 29.185606 | 94 | 0.662297 |
68cbb45a7e83cc2362b7fb123c4deb4d27e5b29e | 9,466 | py | Python | examples/classifier_compression/main.py | wanshanhsieh/distiller | 2ae998c066b975bcb38b8ecc2927bf1015f634b9 | [
"Apache-2.0"
] | null | null | null | examples/classifier_compression/main.py | wanshanhsieh/distiller | 2ae998c066b975bcb38b8ecc2927bf1015f634b9 | [
"Apache-2.0"
] | null | null | null | examples/classifier_compression/main.py | wanshanhsieh/distiller | 2ae998c066b975bcb38b8ecc2927bf1015f634b9 | [
"Apache-2.0"
] | null | null | null | '''Train CIFAR10 with PyTorch.'''
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
from torch.autograd import Variable
import torchvision
import torchvision.transforms as transforms
import sys
import os
import argparse
import numpy as ... | 38.323887 | 153 | 0.649905 |
68cbe97d31e3324032f88dccfed54fc66b602a89 | 19,079 | py | Python | src/python/tests/unittests/test_controller/test_scan/test_remote_scanner.py | annihilatethee/seedsync | 7a0ba915cc570bc12916088baa6eb6bee6f291c9 | [
"Apache-2.0"
] | null | null | null | src/python/tests/unittests/test_controller/test_scan/test_remote_scanner.py | annihilatethee/seedsync | 7a0ba915cc570bc12916088baa6eb6bee6f291c9 | [
"Apache-2.0"
] | null | null | null | src/python/tests/unittests/test_controller/test_scan/test_remote_scanner.py | annihilatethee/seedsync | 7a0ba915cc570bc12916088baa6eb6bee6f291c9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017, Inderpreet Singh, All rights reserved.
import unittest
import logging
import sys
from unittest.mock import patch, call, ANY
import tempfile
import os
import pickle
import shutil
from controller.scan import RemoteScanner
from ssh import SshcpError
from common import AppError
from common import Locali... | 37.780198 | 108 | 0.62498 |
68cbf12bc70184cee6d43fa3ffcdca46bedc9617 | 9,137 | py | Python | python/snippet_utils.py | emory-irlab/Mouse2Gaze | 3280c905d76fb85b8a7b9803ec56a719730392d7 | [
"MIT"
] | null | null | null | python/snippet_utils.py | emory-irlab/Mouse2Gaze | 3280c905d76fb85b8a7b9803ec56a719730392d7 | [
"MIT"
] | null | null | null | python/snippet_utils.py | emory-irlab/Mouse2Gaze | 3280c905d76fb85b8a7b9803ec56a719730392d7 | [
"MIT"
] | null | null | null | # -- Writtenb by dsavenk
import psycopg2
from os import path
import re
import urllib2
#import emu_load_snippets
from BeautifulSoup import BeautifulSoup
#from html_resource_save import resource_extractor
import urllib
import httplib
import socket
#prefix = emu_load_snippets.prefix
prefix = 'dg21'
socket.setdefaulttimeo... | 39.214592 | 150 | 0.572398 |
68cc80fa7c076c3048e70f3b89a43ad88f5c90bb | 4,597 | py | Python | nertivia/bot.py | Nertivia-PY/Nertivia.py | f4511d9fe4e4cb5ca59c7e8a2167cc587dcd5c75 | [
"MIT"
] | 2 | 2021-08-28T21:19:17.000Z | 2022-02-10T19:43:45.000Z | nertivia/bot.py | Nertivia-PY/Nertivia.py | f4511d9fe4e4cb5ca59c7e8a2167cc587dcd5c75 | [
"MIT"
] | 5 | 2021-08-28T23:06:26.000Z | 2022-02-11T17:41:15.000Z | nertivia/bot.py | Nertivia-PY/Nertivia.py | f4511d9fe4e4cb5ca59c7e8a2167cc587dcd5c75 | [
"MIT"
] | 3 | 2021-08-28T21:19:32.000Z | 2021-09-12T12:45:47.000Z | import json
import logging
import nertivia.events
import websockets
import asyncio
| 34.56391 | 109 | 0.568197 |
68cd259631984c9943cb64ba2e8d9ad5b8e4a938 | 2,339 | py | Python | vedastr_cstr/vedastr/models/heads/transformer_head.py | bsm8734/formula-image-latex-recognition | 86d5070e8f907571a47967d64facaee246d92a35 | [
"MIT"
] | 13 | 2021-06-20T18:11:23.000Z | 2021-12-07T18:06:42.000Z | vedastr_cstr/vedastr/models/heads/transformer_head.py | bsm8734/formula-image-latex-recognition | 86d5070e8f907571a47967d64facaee246d92a35 | [
"MIT"
] | 9 | 2021-06-16T14:55:07.000Z | 2021-06-23T14:45:36.000Z | vedastr_cstr/vedastr/models/heads/transformer_head.py | bsm8734/formula-image-latex-recognition | 86d5070e8f907571a47967d64facaee246d92a35 | [
"MIT"
] | 6 | 2021-06-17T15:16:50.000Z | 2021-07-05T20:41:26.000Z | import logging
import math
import torch
import torch.nn as nn
from vedastr.models.bodies import build_sequence_decoder
from vedastr.models.utils import build_torch_nn
from vedastr.models.weight_init import init_weights
from .registry import HEADS
logger = logging.getLogger()
| 27.197674 | 70 | 0.604959 |