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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9579e725a92b212adbfbee1f939f56455d5e30da | 22 | py | Python | nextfeed/settings/__init__.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | 1 | 2015-08-09T10:42:04.000Z | 2015-08-09T10:42:04.000Z | nextfeed/settings/__init__.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | null | null | null | nextfeed/settings/__init__.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | null | null | null | __author__ = 'Rachum'
| 11 | 21 | 0.727273 |
957ac7e6d29caaecedbbbd4e6c92497096862e51 | 10,072 | py | Python | croisee/croisee/models.py | fiee/croisee | 922a163b627855468aac84e0c56ea51082424732 | [
"BSD-3-Clause"
] | 6 | 2017-09-06T02:03:36.000Z | 2021-07-11T15:06:29.000Z | croisee/croisee/models.py | fiee/croisee | 922a163b627855468aac84e0c56ea51082424732 | [
"BSD-3-Clause"
] | null | null | null | croisee/croisee/models.py | fiee/croisee | 922a163b627855468aac84e0c56ea51082424732 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
import unicodedata
import re, os
import logging
from django.utils.translation import ugettext_lazy as _
from django.db import models
from django.template.loader import render_to_string
from djang... | 43.601732 | 196 | 0.642276 |
957b9b53b7b5837fb4e6e2e80f7b80d9f1347ef1 | 5,372 | py | Python | tests/views/userprofile/forms_test.py | BMeu/Aerarium | 119946cead727ef68b5ecea339990d982c006391 | [
"MIT"
] | null | null | null | tests/views/userprofile/forms_test.py | BMeu/Aerarium | 119946cead727ef68b5ecea339990d982c006391 | [
"MIT"
] | 139 | 2018-12-26T07:54:31.000Z | 2021-06-01T23:14:45.000Z | tests/views/userprofile/forms_test.py | BMeu/Aerarium | 119946cead727ef68b5ecea339990d982c006391 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from unittest import TestCase
from flask_login import login_user
from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms import ValidationError
from app import create_app
from app import db
from app.configuration import TestConfiguration
from app.localization import get_l... | 27.690722 | 92 | 0.625838 |
957d235d1750094b4270c5454f14c28d2e8173f1 | 769 | py | Python | Post/migrations/0002_auto_20201110_0901.py | singh-sushil/minorproject | 02fe8c1dce41109447d5f394bb37e10cb34d9316 | [
"MIT"
] | 2 | 2020-12-27T11:28:02.000Z | 2021-01-04T07:52:38.000Z | Post/migrations/0002_auto_20201110_0901.py | singh-sushil/minorproject | 02fe8c1dce41109447d5f394bb37e10cb34d9316 | [
"MIT"
] | 1 | 2020-12-26T13:36:12.000Z | 2020-12-26T13:36:12.000Z | Post/migrations/0002_auto_20201110_0901.py | singh-sushil/minorproject | 02fe8c1dce41109447d5f394bb37e10cb34d9316 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-11-10 03:16
import django.core.validators
from django.db import migrations, models
| 30.76 | 224 | 0.594278 |
957e510be8f3a2b81dab14d254545719454d7bb3 | 2,714 | py | Python | About.py | pm-str/CountDown-More | 90eed19b3d5e417d474f1d79e07c6740f5a9a53d | [
"MIT"
] | null | null | null | About.py | pm-str/CountDown-More | 90eed19b3d5e417d474f1d79e07c6740f5a9a53d | [
"MIT"
] | null | null | null | About.py | pm-str/CountDown-More | 90eed19b3d5e417d474f1d79e07c6740f5a9a53d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'About.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
| 49.345455 | 140 | 0.70339 |
957eae3da3f74babe3abba60f328832ad8f0ef04 | 948 | py | Python | userprofile/migrations/0001_initial.py | jmickela/stalkexchange | 2182fcdfb716dbe3c227c83ac52c567331cc9e73 | [
"Apache-2.0"
] | null | null | null | userprofile/migrations/0001_initial.py | jmickela/stalkexchange | 2182fcdfb716dbe3c227c83ac52c567331cc9e73 | [
"Apache-2.0"
] | 10 | 2020-06-05T17:05:48.000Z | 2022-03-11T23:13:08.000Z | userprofile/migrations/0001_initial.py | jmickela/stalkexchange | 2182fcdfb716dbe3c227c83ac52c567331cc9e73 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
| 36.461538 | 157 | 0.635021 |
957f17448a40b5f7a9697897e18e53b84546771d | 1,244 | py | Python | DML.py | WellingtonFSouza1/SGI | 89746bc1d9745931fd9b451e575b92c8197fcc65 | [
"Apache-2.0"
] | null | null | null | DML.py | WellingtonFSouza1/SGI | 89746bc1d9745931fd9b451e575b92c8197fcc65 | [
"Apache-2.0"
] | null | null | null | DML.py | WellingtonFSouza1/SGI | 89746bc1d9745931fd9b451e575b92c8197fcc65 | [
"Apache-2.0"
] | null | null | null | import pymysql
conexao = pymysql.connect(
host='localhost',
user='root',
password='admin1234',
db='ex_01')
cursor = conexao.cursor(pymysql.cursors.DictCursor)
| 18.848485 | 90 | 0.568328 |
9581ac185297ca50496beb710a3edddd006be6af | 6,792 | py | Python | misc_scripts/downsample.py | rajesh-ibm-power/MITObim | 5d617054975a0e30e0f6c6fb88d21862eaae238f | [
"MIT"
] | 81 | 2015-01-21T21:48:20.000Z | 2022-03-22T12:43:50.000Z | misc_scripts/downsample.py | rajesh-ibm-power/MITObim | 5d617054975a0e30e0f6c6fb88d21862eaae238f | [
"MIT"
] | 47 | 2015-02-16T22:53:00.000Z | 2021-12-16T20:38:17.000Z | misc_scripts/downsample.py | rajesh-ibm-power/MITObim | 5d617054975a0e30e0f6c6fb88d21862eaae238f | [
"MIT"
] | 37 | 2015-01-29T07:34:32.000Z | 2022-03-17T07:20:00.000Z | #!/usr/bin/python
"""downsample
Author: Christoph Hahn (christoph.hahn@uni-graz.at)
February 2017
Extract a random subsample of ~ x % reads from fastq data.
The choice is based on a random number generator. For each fastq read, a random number between 1-100 will be generated. If the random number is smaller than t... | 36.12766 | 383 | 0.6197 |
9581c71bce4ce0b38517044c9d5a2c496d783a78 | 585 | py | Python | find_nb.py | DemetriusStorm/100daysofcode | ce87a596b565c5740ae3c48adac91cba779b3833 | [
"MIT"
] | null | null | null | find_nb.py | DemetriusStorm/100daysofcode | ce87a596b565c5740ae3c48adac91cba779b3833 | [
"MIT"
] | null | null | null | find_nb.py | DemetriusStorm/100daysofcode | ce87a596b565c5740ae3c48adac91cba779b3833 | [
"MIT"
] | null | null | null | """
Your task is to construct a building which will be a pile of n cubes.
The cube at the bottom will have a volume of n^3, the cube above will have volume of (n-1)^3 and so on until the top
which will have a volume of 1^3.
You are given the total volume m of the building. Being given m can you find the number n of cub... | 45 | 119 | 0.711111 |
9582a4c6372ffccedd8c93f53707273fd3fe596d | 4,597 | py | Python | src/__main__.py | BennyWestsyde/FakeNewsDetection | 8b171f2c93d0849e13c9ea6d94b784caf037a3bb | [
"BSD-3-Clause"
] | null | null | null | src/__main__.py | BennyWestsyde/FakeNewsDetection | 8b171f2c93d0849e13c9ea6d94b784caf037a3bb | [
"BSD-3-Clause"
] | 16 | 2021-04-29T14:22:46.000Z | 2021-05-21T04:02:02.000Z | src/__main__.py | BennyWestsyde/FakeNewsDetection | 8b171f2c93d0849e13c9ea6d94b784caf037a3bb | [
"BSD-3-Clause"
] | 2 | 2021-04-09T16:39:45.000Z | 2021-05-02T19:39:32.000Z | """Class to handle iterating through tweets in real time."""
import json
import os
import pandas as pd
# Said this was unused.
# from bluebird import BlueBird
from bluebird.scraper import BlueBird
from sentiment import PoliticalClassification
from train import TrainingML
col_names32 = "created_at,id,id_str,full_tex... | 32.146853 | 450 | 0.591255 |
9583bb525f9a10680502ac52b441c849a250aefe | 2,107 | py | Python | cdk-cross-stack-references/app.py | MauriceBrg/aws-blog.de-projects | ce0e86ccdd845c68c41d9190239926756e09c998 | [
"MIT"
] | 36 | 2019-10-01T12:19:49.000Z | 2021-09-11T00:55:43.000Z | cdk-cross-stack-references/app.py | MauriceBrg/aws-blog.de-projects | ce0e86ccdd845c68c41d9190239926756e09c998 | [
"MIT"
] | 2 | 2021-06-02T00:19:43.000Z | 2021-06-02T00:51:48.000Z | cdk-cross-stack-references/app.py | MauriceBrg/aws-blog.de-projects | ce0e86ccdd845c68c41d9190239926756e09c998 | [
"MIT"
] | 29 | 2019-07-23T04:05:15.000Z | 2021-08-12T14:36:57.000Z | #!/usr/bin/env python3
import aws_cdk.aws_iam as iam
import aws_cdk.aws_s3 as s3
from aws_cdk import core
app = core.App()
export = ExportingStack(app, "export")
ImportingStack(
app,
"import",
role_a=export.exported_role_a,
role_b=export.exported_role_b
)
app.synth()
| 25.385542 | 106 | 0.570954 |
9583cbd4d2fe5cf7c96a5c027ce0ed71ff87cf28 | 6,344 | py | Python | test_trustpaylib.py | beezz/trustpaylib | a56d12d6ff97ad02034d85940ec09abbfe9eba76 | [
"BSD-3-Clause"
] | null | null | null | test_trustpaylib.py | beezz/trustpaylib | a56d12d6ff97ad02034d85940ec09abbfe9eba76 | [
"BSD-3-Clause"
] | null | null | null | test_trustpaylib.py | beezz/trustpaylib | a56d12d6ff97ad02034d85940ec09abbfe9eba76 | [
"BSD-3-Clause"
] | 1 | 2016-05-27T07:12:47.000Z | 2016-05-27T07:12:47.000Z | # -*- coding: utf-8 -*-
# vim:fenc=utf-8
import pytest
import trustpaylib
try:
unicode
py3 = False
except NameError:
py3 = True
unicode = lambda s: s
| 29.784038 | 75 | 0.576135 |
9584860203f1962d57d77ed27e2fa1c1d418bbe7 | 606 | py | Python | Day 01/AdventOfCode01.py | KelvinFurtado/Advent-of-Code-2020 | 7aab4d542507222ef6aaef699d16cc1e2936e1d5 | [
"MIT"
] | null | null | null | Day 01/AdventOfCode01.py | KelvinFurtado/Advent-of-Code-2020 | 7aab4d542507222ef6aaef699d16cc1e2936e1d5 | [
"MIT"
] | null | null | null | Day 01/AdventOfCode01.py | KelvinFurtado/Advent-of-Code-2020 | 7aab4d542507222ef6aaef699d16cc1e2936e1d5 | [
"MIT"
] | null | null | null | inputfile = open('inputDay01.txt', 'r')
values = [int(i) for i in inputfile.readlines()]
#PART1
#PART2
print("Part1:",aoc01(values,2020))
print("Part2:",aoc02(values,2020))
inputfile.close() | 25.25 | 48 | 0.531353 |
9584cb7682c9b757f9f395cf4af9a536e43da394 | 1,686 | py | Python | src/backend/api/views/auth_views.py | zackramjan/motuz | 892252eb50acbd8135bf9df9872df5e4cfe6277b | [
"MIT"
] | 84 | 2019-05-10T14:56:48.000Z | 2022-03-19T17:07:24.000Z | src/backend/api/views/auth_views.py | zackramjan/motuz | 892252eb50acbd8135bf9df9872df5e4cfe6277b | [
"MIT"
] | 226 | 2019-05-28T21:59:22.000Z | 2022-03-09T10:58:24.000Z | src/backend/api/views/auth_views.py | zackramjan/motuz | 892252eb50acbd8135bf9df9872df5e4cfe6277b | [
"MIT"
] | 16 | 2019-09-27T01:35:49.000Z | 2022-03-08T16:18:50.000Z | import logging
from flask import request
from flask_restplus import Resource, Namespace, fields
from ..managers import auth_manager
from ..managers.auth_manager import token_required
from ..exceptions import HTTP_EXCEPTION
api = Namespace('auth', description='Authentication related operations')
dto = api.model('au... | 29.068966 | 81 | 0.641163 |
95850f5ad82092788d3a213273d93bc24cd594e7 | 4,079 | py | Python | src/api/algorithm/abstract.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | src/api/algorithm/abstract.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | src/api/algorithm/abstract.py | moevm/nosql1h19-text-graph | 410f156ad4f232f8aa060d43692ab020610ddfd4 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod, abstractproperty
from typing import Dict
__all__ = ["AbstractAlgorithm"]
def analyze_comparison(self, res1: Dict, res2: Dict,
comp_res: Dict, acc):
""" .
.
:param res1: AbstractAlgorithm.preprocess
:type re... | 31.620155 | 79 | 0.61314 |
95851ced698edaf85c4890ce3e5ba9ddb348e00d | 304 | py | Python | buidl/libsec_build.py | jamesob/buidl-python | 84ef0284c2bff8bb09cb804c6a02f99e78e59dbe | [
"MIT"
] | 45 | 2020-10-23T13:03:41.000Z | 2022-03-27T17:32:43.000Z | buidl/libsec_build.py | jamesob/buidl-python | 84ef0284c2bff8bb09cb804c6a02f99e78e59dbe | [
"MIT"
] | 87 | 2020-10-23T19:59:36.000Z | 2022-03-03T18:05:58.000Z | buidl/libsec_build.py | jamesob/buidl-python | 84ef0284c2bff8bb09cb804c6a02f99e78e59dbe | [
"MIT"
] | 8 | 2020-11-26T14:29:32.000Z | 2022-03-01T23:00:44.000Z | #!/usr/bin/python3
from cffi import FFI
source = open("libsec.h", "r").read()
header = """
#include <secp256k1.h>
#include <secp256k1_extrakeys.h>
#include <secp256k1_schnorrsig.h>
"""
ffi = FFI()
ffi.cdef(source)
ffi.set_source("_libsec", header, libraries=["secp256k1"])
ffi.compile(verbose=True)
| 16.888889 | 58 | 0.703947 |
9587650c0783fa597913cbb4c287026be8eb0512 | 938 | py | Python | src/crud-redmine/client/kafka_client.py | LeoNog96/IntegradorRedmine | bb5477caa9088665b3d18e26530609ba831517d9 | [
"MIT"
] | null | null | null | src/crud-redmine/client/kafka_client.py | LeoNog96/IntegradorRedmine | bb5477caa9088665b3d18e26530609ba831517d9 | [
"MIT"
] | null | null | null | src/crud-redmine/client/kafka_client.py | LeoNog96/IntegradorRedmine | bb5477caa9088665b3d18e26530609ba831517d9 | [
"MIT"
] | null | null | null | from kafka import KafkaConsumer, KafkaProducer
import json | 24.684211 | 88 | 0.60661 |
958794f84d8fee2575a58b5c2e83f3a77dc04ee4 | 2,038 | py | Python | remove_empty_csv's.py | asadrazaa1/emails-extraction | bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde | [
"Unlicense"
] | null | null | null | remove_empty_csv's.py | asadrazaa1/emails-extraction | bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde | [
"Unlicense"
] | null | null | null | remove_empty_csv's.py | asadrazaa1/emails-extraction | bb2b7b9f4caa9f62a81e6d9588c1c652d074dfde | [
"Unlicense"
] | null | null | null | import psycopg2
import sys
from nltk.tokenize import sent_tokenize
import re
import csv
import os
# pmid {16300001 - 16400000}
try:
# starting_pmid = 16300001
# intermediate_pmid = 16400000
starting_pmid = 100001
intermediate_pmid = 200000
ending_pmid = 32078260
while 1:
if interme... | 33.966667 | 112 | 0.552993 |
9587f1170fd14bbc3fde52488cf4748e36a462f2 | 439 | py | Python | src/core.py | unior-nlp-research-group/Ghigliottina | d78cf54cb7412301dd35ef3f3d6419a0350fe3af | [
"Apache-2.0"
] | 2 | 2021-01-21T11:20:57.000Z | 2021-01-21T17:51:07.000Z | src/core.py | unior-nlp-research-group/Ghigliottina | d78cf54cb7412301dd35ef3f3d6419a0350fe3af | [
"Apache-2.0"
] | null | null | null | src/core.py | unior-nlp-research-group/Ghigliottina | d78cf54cb7412301dd35ef3f3d6419a0350fe3af | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import utility
###################
## main
###################
if __name__=='__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-m", "--model", help="the path to the model file")
args = parser.parse_args()
p... | 23.105263 | 79 | 0.603645 |
958823c46f3203892c3a9a7227ee987c3b6cf53a | 3,412 | py | Python | volcengine_ml_platform/datasets/image_dataset.py | volc-mlplatform/ml-platform-sdk-python | 2d85e23c10a1f3c008da0f1a8ea59c277c750233 | [
"MIT"
] | 11 | 2021-09-08T09:20:54.000Z | 2022-02-18T06:45:47.000Z | volcengine_ml_platform/datasets/image_dataset.py | volc-mlplatform/ml-platform-sdk-python | 2d85e23c10a1f3c008da0f1a8ea59c277c750233 | [
"MIT"
] | 1 | 2021-09-24T03:21:07.000Z | 2021-09-24T06:32:26.000Z | volcengine_ml_platform/datasets/image_dataset.py | volc-mlplatform/ml-platform-sdk-python | 2d85e23c10a1f3c008da0f1a8ea59c277c750233 | [
"MIT"
] | 4 | 2021-09-23T07:54:06.000Z | 2021-11-27T09:40:55.000Z | import json
from collections.abc import Callable
from typing import Optional
import numpy as np
from PIL import Image
from volcengine_ml_platform.datasets.dataset import _Dataset
from volcengine_ml_platform.io.tos_dataset import TorchTOSDataset
| 32.188679 | 84 | 0.586166 |
95887e566eb9b0860bede603c8c4d3bf2e059af1 | 5,634 | py | Python | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | 3 | 2021-02-05T09:33:39.000Z | 2021-07-25T18:39:43.000Z | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | null | null | null | main.py | TrueMLGPro/MultiDownloader | 8ef6cdccbe253fe79cf3cec9ed83fd40c3f834bc | [
"Apache-2.0"
] | 1 | 2022-02-28T21:41:12.000Z | 2022-02-28T21:41:12.000Z | # Copyright 2020 TrueMLGPro
# 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, soft... | 39.398601 | 149 | 0.671814 |
958a38d4edf87c352270fdf92a3b1727c3d068e0 | 1,129 | py | Python | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | 1 | 2017-11-15T15:04:44.000Z | 2017-11-15T15:04:44.000Z | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | 2 | 2021-03-20T05:32:38.000Z | 2021-03-26T00:39:11.000Z | forge/kubernetes.py | Acidburn0zzz/forge | c53d99f49abe61a2657a1a41232211bb48ee182d | [
"Apache-2.0"
] | null | null | null | import os, glob
from tasks import task, TaskError, get, sh, SHResult
| 29.710526 | 75 | 0.558902 |
958ba96c16c5793bb5abfd2bf23b7c56685312b0 | 615 | py | Python | src/models.py | mchuck/tiny-ssg | 52998288daea9fe592b8e6ce769eca782db591cd | [
"MIT"
] | null | null | null | src/models.py | mchuck/tiny-ssg | 52998288daea9fe592b8e6ce769eca782db591cd | [
"MIT"
] | null | null | null | src/models.py | mchuck/tiny-ssg | 52998288daea9fe592b8e6ce769eca782db591cd | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import List, Dict, Any
| 16.184211 | 45 | 0.689431 |
958c59599470ad36c300e0c6dec5381bb27923b6 | 1,952 | py | Python | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | 1 | 2022-02-14T05:52:53.000Z | 2022-02-14T05:52:53.000Z | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | null | null | null | demucs/ema.py | sparshpriyadarshi/demucs | 7c7f65401db654d750df2b6f4d5b82a0101500b1 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# Inspired from https://github.com/rwightman/pytorch-image-models
from contextlib import contextmanager
import torch
from... | 29.134328 | 73 | 0.585553 |
958d20eb83026863f5c7fe7f0d9e55731a14596b | 250 | py | Python | tests/test_all.py | dpineo/gadann | ff5dce9a8fc6192ba1efd854672f593872116beb | [
"MIT"
] | null | null | null | tests/test_all.py | dpineo/gadann | ff5dce9a8fc6192ba1efd854672f593872116beb | [
"MIT"
] | null | null | null | tests/test_all.py | dpineo/gadann | ff5dce9a8fc6192ba1efd854672f593872116beb | [
"MIT"
] | null | null | null | import os
import fnmatch
import deep_learning
tests = [file for file in os.listdir(os.getcwd()) if fnmatch.fnmatch(file, 'test_*.py')]
tests.remove('test_all.py')
for test in tests:
print '---------- '+test+' ----------'
execfile(test)
| 22.727273 | 89 | 0.632 |
958e7f740b7a101b6adbafb3854a0ff8c7e6558c | 12,328 | py | Python | gws.py | intelligence-csd-auth-gr/greek-words-evolution | ab1ee717f7567ffa8171e64f835932af7502955d | [
"MIT"
] | 9 | 2020-07-12T13:45:24.000Z | 2021-12-05T16:08:58.000Z | word_embeddings/we.py | emiltj/NLP_exam_2021 | 9342e8dc9ad684927bbfa5eb6c125dd53c14cccb | [
"MIT"
] | 2 | 2021-03-30T14:35:26.000Z | 2022-03-12T00:40:17.000Z | word_embeddings/we.py | emiltj/NLP_exam_2021 | 9342e8dc9ad684927bbfa5eb6c125dd53c14cccb | [
"MIT"
] | 2 | 2021-04-23T13:07:55.000Z | 2021-12-16T14:06:51.000Z | import warnings
import argparse
import os
import logging
import lib.metadata as metadata
import lib.model as model
import lib.text as text
import lib.website as website
warnings.filterwarnings('ignore')
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
####################################... | 56.036364 | 120 | 0.455224 |
958e9155b3239d72fa5b7b6e836c3597e9e664a8 | 3,887 | py | Python | OP3/op3/messages.py | gvx/op3 | 888ab5975a3f911fc9ed9afea983928de3110033 | [
"MIT"
] | null | null | null | OP3/op3/messages.py | gvx/op3 | 888ab5975a3f911fc9ed9afea983928de3110033 | [
"MIT"
] | null | null | null | OP3/op3/messages.py | gvx/op3 | 888ab5975a3f911fc9ed9afea983928de3110033 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from collections.abc import MutableSequence
from datetime import datetime
from typing import NamedTuple, Any, Optional, Iterator
from .encoders import ENCODERS, string_encode, default_encoder, datetime_encode, blob_encode
| 30.849206 | 92 | 0.637252 |
958ef26cd63d83883ded41820724c2716c93e70b | 2,716 | py | Python | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | ssepaperless/Organizer/views.py | michaelkressaty/ssepaperless | d536f9106fd499e664d3c03fb6331b4feb1cc4ca | [
"BSD-3-Clause"
] | null | null | null | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponse
from django.template import RequestContext, loader
from Organizer.models import Department
from Organizer.models import Advisor
from Organizer.models import Student
from Organizer.models import Course
from Organizer.models impor... | 48.5 | 111 | 0.796024 |
95908c4c021ce144e1c7f298836a5c4a2cc424d8 | 462 | py | Python | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | project/3/cal.py | Aries-Dawn/Cpp-Program-Design | 9d4fc9a902fff2f76e41314f5d6c52871d30a511 | [
"MIT"
] | null | null | null | import numpy as np
matrixA = np.loadtxt('./mat-A-32.txt')
matrixB = np.loadtxt('./mat-B-32.txt')
checking = np.loadtxt('./out32.txt')
result = np.dot(matrixA, matrixB)
diff = result - checking
print(checking)
print(result)
print(diff)
np.absolute(diff)
print(np.max(diff))
[rows, cols] = diff.shape
with open ('./out20... | 23.1 | 42 | 0.623377 |
959230e7e9d9994cf553883c73d07ce0fe30741d | 16,749 | py | Python | 2020/src/day24.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | 1 | 2020-12-05T06:14:37.000Z | 2020-12-05T06:14:37.000Z | 2020/src/day24.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | null | null | null | 2020/src/day24.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | null | null | null | import re
from collections import defaultdict
from util import *
input1="""sesenwnenenewseeswwswswwnenewsewsw
neeenesenwnwwswnenewnwwsewnenwseswesw
seswneswswsenwwnwse
nwnwneseeswswnenewneswwnewseswneseene
swweswneswnenwsewnwneneseenw
eesenwseswswnenwswnwnwsewwnwsene
sewnenenenesenwsewnenwwwse
wenwwweseeeweswwwnwwe
ws... | 31.661626 | 81 | 0.920294 |
9594993f4525fce4f5b648804a7994f70f4ed262 | 4,773 | py | Python | ci/check-documentation.py | FredrikBlomgren/aff3ct | fa616bd923b2dcf03a4cf119cceca51cf810d483 | [
"MIT"
] | 315 | 2016-06-21T13:32:14.000Z | 2022-03-28T09:33:59.000Z | ci/check-documentation.py | a-panella/aff3ct | 61509eb756ae3725b8a67c2d26a5af5ba95186fb | [
"MIT"
] | 153 | 2017-01-17T03:51:06.000Z | 2022-03-24T15:39:26.000Z | ci/check-documentation.py | a-panella/aff3ct | 61509eb756ae3725b8a67c2d26a5af5ba95186fb | [
"MIT"
] | 119 | 2017-01-04T14:31:58.000Z | 2022-03-21T08:34:16.000Z | #!/usr/bin/env python3
import argparse
import sys
import re
import subprocess
import os
import glob
import copy
import aff3ct_help_parser as ahp
# read all the lines from the given file and set them in a list of string lines with striped \n \r
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.a... | 27.431034 | 128 | 0.707521 |
9595a509a88acc24d2199e14d5a84b03b3fb5415 | 677 | py | Python | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 5 | 2020-08-05T21:02:35.000Z | 2021-11-11T14:31:35.000Z | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 1 | 2020-09-24T04:41:20.000Z | 2020-09-28T04:37:50.000Z | todoster/list_projects.py | SophieAu/todoster | 6f69f7b254683d63f60f934eafa8971e78df7eb2 | [
"MIT"
] | 1 | 2021-08-09T19:23:24.000Z | 2021-08-09T19:23:24.000Z | from todoster.file_operations import load_projects
from todoster.output_formatter import format_string
| 33.85 | 85 | 0.669129 |
95988a5a0c747ad5cc792f45a029f70fc328bc8e | 621 | py | Python | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | src/game_test.py | TomNo/tictactoe-mcts | 5d5db97f54fe5a3bf7c9afaaa4d74984fdb30ec4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = 'Tomas Novacik'
import unittest2
from game import Game
from board import Board, PlayerType, Move
# eof
| 18.264706 | 75 | 0.613527 |
95993548b5a77661a71dcd96b3ee1f6f35d686ce | 1,911 | py | Python | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 3 | 2021-11-21T17:21:12.000Z | 2021-12-10T21:19:57.000Z | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 16 | 2021-10-06T11:20:35.000Z | 2022-02-02T11:44:28.000Z | skills_taxonomy_v2/pipeline/skills_extraction/get_sentence_embeddings_utils.py | india-kerle/skills-taxonomy-v2 | a71366dfea3c35580dbafddba9470f83795805ae | [
"MIT"
] | 1 | 2021-10-04T12:27:20.000Z | 2021-10-04T12:27:20.000Z | """
Functions to mask sentences of undesirable words (stopwords, punctuation etc).
Used in get_sentence_embeddings.py to process sentences before finding embeddings.
"""
import re
from skills_taxonomy_v2.pipeline.skills_extraction.cleaning_sentences import (
separate_camel_case,
)
def is_token_word(token, token_... | 29.4 | 85 | 0.553114 |
959a854d76fcee93383a4561465ab39d08da02e1 | 1,000 | py | Python | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 11 | 2017-08-23T17:41:43.000Z | 2018-10-24T03:00:38.000Z | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 480 | 2017-07-14T00:29:11.000Z | 2020-01-06T19:04:51.000Z | migrations/versions/033809bcaf32_destinations.py | RagtagOpen/carpools | 56b8f6491a2d347b637b345fbad7bc744130ec7f | [
"Apache-2.0"
] | 22 | 2017-07-07T00:07:32.000Z | 2020-02-27T19:43:14.000Z | """destinations
Revision ID: 033809bcaf32
Revises: 4a77b8fb792a
Create Date: 2017-08-24 05:56:45.166590
"""
from alembic import op
import sqlalchemy as sa
import geoalchemy2
# revision identifiers, used by Alembic.
revision = '033809bcaf32'
down_revision = '4a77b8fb792a'
branch_labels = None
depends_on = None
| 27.027027 | 89 | 0.698 |
959ac1baff7cea9daabf593760b72f74cd08cb19 | 778 | py | Python | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | porcupine/plugins/gotoline.py | rscales02/porcupine | 91b3c90d19d2291c0a60ddb9dffac931147cde3c | [
"MIT"
] | null | null | null | from tkinter import simpledialog
from porcupine import actions, get_tab_manager, tabs
| 31.12 | 79 | 0.638817 |
959aea6673bc315fd2a49870629b49b87e1b393a | 4,634 | py | Python | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | 7 | 2020-01-22T03:23:39.000Z | 2021-12-26T05:02:10.000Z | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | null | null | null | preprocessing.py | JackAndCole/Detection-of-sleep-apnea-from-single-lead-ECG-signal-using-a-time-window-artificial-neural-network | 692bb7d969b7eb4a0ad9b221660901a863bc76e2 | [
"Apache-2.0"
] | 1 | 2020-05-29T06:32:24.000Z | 2020-05-29T06:32:24.000Z | import os
import pickle
import sys
import warnings
from collections import OrderedDict
import biosppy.signals.tools as st
import numpy as np
import wfdb
from biosppy.signals.ecg import correct_rpeaks, hamilton_segmenter
from hrv.classical import frequency_domain, time_domain
from scipy.signal import medfilt... | 44.990291 | 120 | 0.579197 |
959b3935838082e9b39f90f0dbe7ce84722264d7 | 3,904 | py | Python | tiddlywebplugins/tiddlyspace/openid.py | FND/tiddlyspace | 7b26e5b4e0b0a817b3ea0a357613c59705d016d4 | [
"BSD-3-Clause"
] | 2 | 2015-12-15T00:40:36.000Z | 2019-04-22T16:54:41.000Z | tiddlywebplugins/tiddlyspace/openid.py | jdlrobson/tiddlyspace | 70f500687fcd26e3fa4ef144297a05203ccf0f35 | [
"BSD-3-Clause"
] | null | null | null | tiddlywebplugins/tiddlyspace/openid.py | jdlrobson/tiddlyspace | 70f500687fcd26e3fa4ef144297a05203ccf0f35 | [
"BSD-3-Clause"
] | null | null | null | """
Subclass of tiddlywebplugins.openid2 to support
tiddlyweb_secondary_user cookie.
"""
import urlparse
from tiddlyweb.web.util import server_host_url, make_cookie
from tiddlywebplugins.openid2 import Challenger as OpenID
FRAGMENT_PREFIX = 'auth:OpenID:'
| 36.148148 | 72 | 0.615523 |
959b55108828b137a9e2c7ce659d11e247c56fff | 226 | py | Python | tests/__init__.py | tltx/iommi | a0ca5e261040cc0452d7452e9320a88af5222b30 | [
"BSD-3-Clause"
] | 192 | 2020-01-30T14:29:56.000Z | 2022-03-28T19:55:30.000Z | tests/__init__.py | tltx/iommi | a0ca5e261040cc0452d7452e9320a88af5222b30 | [
"BSD-3-Clause"
] | 105 | 2020-03-29T21:59:01.000Z | 2022-03-24T12:29:09.000Z | tests/__init__.py | tltx/iommi | a0ca5e261040cc0452d7452e9320a88af5222b30 | [
"BSD-3-Clause"
] | 28 | 2020-02-02T20:51:09.000Z | 2022-03-08T16:23:42.000Z | from datetime import datetime
import freezegun
# Initialize freezegun to avoid freezegun being reinitialized which is expensive
initialize_freezegun = freezegun.freeze_time(datetime(2021, 1, 1))
initialize_freezegun.start()
| 28.25 | 80 | 0.836283 |
959bcca51833c2423f463ff10fb943bd7f71b93f | 9,047 | py | Python | pyacoustics/morph/intensity_morph.py | UNIST-Interactions/pyAcoustics | f22d19d258b4e359fec365b30f11af261dee1b5c | [
"MIT"
] | 72 | 2015-12-10T20:00:04.000Z | 2022-03-31T05:42:17.000Z | pyacoustics/morph/intensity_morph.py | alivalehi/pyAcoustics | ab446681d7a2267063afb6a386334dcaefd0d93b | [
"MIT"
] | 5 | 2017-08-08T05:13:15.000Z | 2020-11-26T00:58:04.000Z | pyacoustics/morph/intensity_morph.py | alivalehi/pyAcoustics | ab446681d7a2267063afb6a386334dcaefd0d93b | [
"MIT"
] | 16 | 2016-05-09T07:36:15.000Z | 2021-08-30T14:23:25.000Z | '''
Created on Apr 2, 2015
@author: tmahrt
'''
import os
from os.path import join
import math
import copy
from pyacoustics.morph.morph_utils import common
from pyacoustics.morph.morph_utils import plot_morphed_data
from pyacoustics.utilities import utils
from pyacoustics.utilities import sequences
from pyacoustics.... | 36.776423 | 79 | 0.606831 |
959ca1652d25eeda188d0626465d82a0647c2777 | 1,886 | py | Python | algorithms/library/metricscontroller.py | heitor57/poi-rss | 12990af118f19595be01bf80e26a7ee93f9d05d8 | [
"MIT"
] | 1 | 2021-09-01T23:55:27.000Z | 2021-09-01T23:55:27.000Z | algorithms/library/metricscontroller.py | heitor57/poi-rss | 12990af118f19595be01bf80e26a7ee93f9d05d8 | [
"MIT"
] | 1 | 2021-09-09T06:21:48.000Z | 2021-09-14T02:08:33.000Z | algorithms/library/metricscontroller.py | heitor57/poi-rss | 12990af118f19595be01bf80e26a7ee93f9d05d8 | [
"MIT"
] | null | null | null | import numpy as np | 37.72 | 158 | 0.559915 |
959cbddc7a775bd66392c574ba57d0e444a033d9 | 736 | py | Python | backend-service/users-service/app/app/models/user.py | abhishek70/python-petclinic-microservices | e15a41a668958f35f1b962487cd2360c5c150f0b | [
"MIT"
] | 2 | 2021-05-19T07:21:59.000Z | 2021-09-15T17:30:08.000Z | backend-service/users-service/app/app/models/user.py | abhishek70/python-petclinic-microservices | e15a41a668958f35f1b962487cd2360c5c150f0b | [
"MIT"
] | null | null | null | backend-service/users-service/app/app/models/user.py | abhishek70/python-petclinic-microservices | e15a41a668958f35f1b962487cd2360c5c150f0b | [
"MIT"
] | null | null | null | from typing import TYPE_CHECKING
from sqlalchemy import Boolean, Column, Integer, String
from sqlalchemy.orm import relationship
from app.db.base_class import Base
if TYPE_CHECKING:
from .pet import Pet # noqa: F401
| 38.736842 | 90 | 0.744565 |
959f88de24a529a6005e19e9f3a68842519cdb55 | 930 | py | Python | slackbot/admin.py | surface-security/django-slackbot | 8d22fb922cf5365284d7a4836bb095eeeb8c7e90 | [
"MIT"
] | 1 | 2022-01-24T10:29:09.000Z | 2022-01-24T10:29:09.000Z | slackbot/admin.py | surface-security/django-slack-processor | 8d22fb922cf5365284d7a4836bb095eeeb8c7e90 | [
"MIT"
] | 4 | 2022-02-21T15:59:08.000Z | 2022-03-26T00:33:13.000Z | slackbot/admin.py | surface-security/django-slack-processor | 8d22fb922cf5365284d7a4836bb095eeeb8c7e90 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.utils.html import format_html
from . import get_user_model
| 34.444444 | 119 | 0.634409 |
95a0896392ae42746732acf467a7a7dc9ad52617 | 1,476 | py | Python | touroute/tourouteapp/migrations/0001_initial.py | oscarlamasrios/toroute | 5b00c0f606f438229e7857f25a23c4d51ff34293 | [
"Apache-2.0"
] | null | null | null | touroute/tourouteapp/migrations/0001_initial.py | oscarlamasrios/toroute | 5b00c0f606f438229e7857f25a23c4d51ff34293 | [
"Apache-2.0"
] | null | null | null | touroute/tourouteapp/migrations/0001_initial.py | oscarlamasrios/toroute | 5b00c0f606f438229e7857f25a23c4d51ff34293 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2019-04-24 14:53
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 34.325581 | 117 | 0.571816 |
95a1633d9ce1bb6f212d67d9111c6397f243ba02 | 19,691 | py | Python | catalog/application.py | gevannmullins/catalog-category-items | 850c77e17d5123511c954e3705f522228c6574ea | [
"MIT"
] | null | null | null | catalog/application.py | gevannmullins/catalog-category-items | 850c77e17d5123511c954e3705f522228c6574ea | [
"MIT"
] | null | null | null | catalog/application.py | gevannmullins/catalog-category-items | 850c77e17d5123511c954e3705f522228c6574ea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from flask import Flask, render_template, request, redirect, jsonify, url_for, flash
from sqlalchemy import create_engine, asc
from sqlalchemy.orm import sessionmaker
from database_setup import Base, Category, Item, User
from flask import session as login_session
import random
import string
impor... | 35.867031 | 174 | 0.632218 |
95a2f6f31ddcda8bf982507b3035c6d82bfe1d80 | 723 | py | Python | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | 4 | 2019-05-29T19:44:56.000Z | 2021-09-10T18:36:57.000Z | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | null | null | null | selfdrive/visiond/tensorflow_autodetect.py | jeroenbbb/openpilot | 4a2ff784f85ac87a4aa9ba8a345c2403102f960a | [
"MIT"
] | 5 | 2019-08-09T07:49:28.000Z | 2020-10-11T03:19:04.000Z | import os
from setuptools import setup
version = os.getenv('VERSION', '1.10.1')
setup(
name='tensorflow-autodetect',
version=version,
url='https://github.com/commaai/tensorflow-autodetect',
author='comma.ai',
author_email='',
license='MIT',
long_description='Auto-detect tensorflow or tenso... | 30.125 | 111 | 0.656985 |
95a308d03af24087015385e9c1aa146e859dc63c | 1,639 | py | Python | intask_api/projects/permissions.py | KirovVerst/intask | 4bdec6f49fa2873cca1354d7d3967973f5bcadc3 | [
"MIT"
] | null | null | null | intask_api/projects/permissions.py | KirovVerst/intask | 4bdec6f49fa2873cca1354d7d3967973f5bcadc3 | [
"MIT"
] | 7 | 2016-08-17T23:08:31.000Z | 2022-03-02T02:23:08.000Z | intask_api/projects/permissions.py | KirovVerst/intask | 4bdec6f49fa2873cca1354d7d3967973f5bcadc3 | [
"MIT"
] | null | null | null | from rest_framework import permissions
from django.shortcuts import get_object_or_404
from django.contrib.auth.models import User
from intask_api.projects.models import Project
| 34.87234 | 74 | 0.748627 |
95a3853b501cce7a1c286e558ccff9a6692b3e3f | 171 | py | Python | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task3.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | '''3. Write a Python program to split a list into different variables. '''
universalList = [(1, 2, 3), ('w', 'e', 's')]
lst1, lst2 = universalList
print(lst1)
print(lst2) | 28.5 | 74 | 0.654971 |
95a3fd394b5e1d1a390370d7caef0aefa5912c98 | 576 | py | Python | Codefights/arcade/python-arcade/level-9/62.Check-Participants/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codefights/arcade/python-arcade/level-9/62.Check-Participants/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codefights/arcade/python-arcade/level-9/62.Check-Participants/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python3
from solution1 import checkParticipants as f
qa = [
([0, 1, 1, 5, 4, 8],
[2]),
([0, 1, 2, 3, 4, 5],
[]),
([6],
[]),
([3, 3, 3, 3, 3, 3, 3, 3],
[4, 5, 6, 7]),
([0, 0, 1, 5, 5, 4, 5, 4, 10, 8],
[1, 2, 5, 6, 7, 9])
]
for *q, a in qa:
for i, e in enumerate(q):
... | 19.2 | 47 | 0.378472 |
95a45f4832007319ba41671ba4a21dd2a62ab0fc | 202 | py | Python | models/__init__.py | mikuh/bert-tf2-keras | e361a0e7dc9fa0d64c48ac41320d302599dba025 | [
"MIT"
] | 4 | 2020-06-21T15:48:40.000Z | 2022-01-24T05:10:59.000Z | models/__init__.py | mikuh/bert-tf2-keras | e361a0e7dc9fa0d64c48ac41320d302599dba025 | [
"MIT"
] | null | null | null | models/__init__.py | mikuh/bert-tf2-keras | e361a0e7dc9fa0d64c48ac41320d302599dba025 | [
"MIT"
] | 3 | 2020-07-20T07:11:27.000Z | 2022-01-24T05:11:21.000Z | from models.base_model import BaseModel
from models.classifier import BertClassifier
from models.sequence_labeling import BertSequenceLabeling
from models.sequence_embedding import BertSequenceEmbedding | 50.5 | 59 | 0.905941 |
95a49255a761f17a3cc35cbf97bc73b1442eaf32 | 7,563 | py | Python | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | plex_import_watched_history.py | chazlarson/plex-watched-tools | ef3e34e733ec9555353d695ced582395bdc73480 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# python3 -m pip install --force -U --user PlexAPI
import json
import time
import logging
import plexapi
import plexapi.video
import plexapi.myplex
import plexapi.server
import plexapi.library
import plexapi.exceptions
PLEX_URL = ""
PLEX_TOKEN = ""
WATCHED_HISTORY =... | 36.713592 | 114 | 0.672352 |
95a5e5403994144db82f320da6b9ae78fdfacc78 | 3,556 | py | Python | django_thermostat/pypelib/Rule.py | jpardobl/django-thermostat | 184e398134f289eb0337ec2af33c650f9ee26a13 | [
"BSD-3-Clause"
] | null | null | null | django_thermostat/pypelib/Rule.py | jpardobl/django-thermostat | 184e398134f289eb0337ec2af33c650f9ee26a13 | [
"BSD-3-Clause"
] | null | null | null | django_thermostat/pypelib/Rule.py | jpardobl/django-thermostat | 184e398134f289eb0337ec2af33c650f9ee26a13 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
import time
import exceptions
import uuid
import logging
'''
@author: msune,lbergesio,omoya,CarolinaFernandez
@organization: i2CAT, OFELIA FP7
PolicyEngine Rule class
Encapsulates logic of a simple Rule
'''
from django_thermostat.pypelib.Condition import Condition
from django_thermo... | 27.353846 | 105 | 0.719629 |
95aa9b2ab7c302c981b157247e84659b7c3d8105 | 709 | py | Python | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | 17 | 2021-06-02T12:26:30.000Z | 2022-03-27T18:35:02.000Z | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | null | null | null | test/test_integration.py | gaborfodor/wave-bird-recognition | 6feafdbae82746e3e7b0f6588a9158aa8336309a | [
"MIT"
] | 3 | 2021-06-02T12:26:51.000Z | 2021-06-06T05:56:45.000Z | from birds.display_utils import geo_plot
from birds.pann import load_pretrained_model, read_audio_fast, get_model_predictions_for_clip, BIRDS
| 27.269231 | 100 | 0.71086 |
95abecff3908d6331f655cf91a24b321277dc4f4 | 12,306 | py | Python | For_Cluster/letshpc_folder_backtracking_2/main_script_without_perf.py | yatin2410/HPC_N_QUEENS | df629ac4ebc678815953370c8ae97c6d276819ff | [
"MIT"
] | 2 | 2019-05-10T09:09:07.000Z | 2022-02-07T05:46:57.000Z | For_Cluster/letshpc_folder_bitmasking/main_script_without_perf.py | yatin2410/HPC_N_QUEENS | df629ac4ebc678815953370c8ae97c6d276819ff | [
"MIT"
] | null | null | null | For_Cluster/letshpc_folder_bitmasking/main_script_without_perf.py | yatin2410/HPC_N_QUEENS | df629ac4ebc678815953370c8ae97c6d276819ff | [
"MIT"
] | null | null | null | #!/bin/python
import subprocess
import os
import sys
import maps
import time
import logging
logging.basicConfig(filename = "LetsHPC_Team_CodeRunner.log", level = logging.INFO)
logger = logging.getLogger(__name__)
####################################################################################################... | 34.664789 | 138 | 0.491549 |
95ae2e3a04b5bb9553c2d275221aaaba3d17f40e | 1,236 | py | Python | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0205.Isomorphic Strings/solution.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
*****************************************
Author: zhlinh
Email: zhlinhng@gmail.com
Version: 0.0.1
Created Time: 2016-03-24
Last_modify: 2016-03-24
******************************************
'''
'''
Given two strings s and t, determine if th... | 24.235294 | 75 | 0.536408 |
95b11eb96aa3d734016e0fceb804be347a3066c5 | 1,860 | py | Python | testModules/migration.py | mannamman/newsCrawl | 8779c1ee06ef51d2affbd9b8a80e688c6ed056e7 | [
"MIT"
] | null | null | null | testModules/migration.py | mannamman/newsCrawl | 8779c1ee06ef51d2affbd9b8a80e688c6ed056e7 | [
"MIT"
] | 14 | 2021-12-20T03:44:08.000Z | 2022-02-24T06:04:06.000Z | testModules/migration.py | mannamman/newsCrawl | 8779c1ee06ef51d2affbd9b8a80e688c6ed056e7 | [
"MIT"
] | null | null | null | import pymongo
## local ##
from dotenv import load_dotenv
import os
import pytz
import datetime
import itertools
from uuid import uuid4
from collections import defaultdict
# ObjectId
from bson.objectid import ObjectId
"""
RDBMS Mongo DB
Database Database
Table Collection
Row Document
Index Index... | 28.181818 | 111 | 0.638172 |
95b233e62bad224b765ef9f8b1c2e67cce2b24ad | 1,659 | py | Python | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | YOLOv2.py | scain40/OpenCVCVImageComparisson | 368d901233111606fb2f0ecbce4447dd9c149fd0 | [
"MIT"
] | null | null | null | import numpy as np
import cv2 as cv
import os
import sys
| 36.866667 | 112 | 0.722122 |
95b3747c398cbe76bc2e8c76655c81e2a5cd82bc | 115 | py | Python | closuredag/apps.py | farmlab/django-closuredag | 19bacabea5e922613a18d21048866dceb44d0afe | [
"MIT"
] | null | null | null | closuredag/apps.py | farmlab/django-closuredag | 19bacabea5e922613a18d21048866dceb44d0afe | [
"MIT"
] | 93 | 2017-11-16T13:58:45.000Z | 2022-03-27T22:01:19.000Z | closuredag/apps.py | farmlab/django-closuredag | 19bacabea5e922613a18d21048866dceb44d0afe | [
"MIT"
] | null | null | null | # -*- coding: utf-8
from django.apps import AppConfig
| 16.428571 | 34 | 0.721739 |
95b3dfb14ba48f34faa00abbd1780bd7ac43862d | 499 | py | Python | experiments/reversed_string_stack.py | shruti-bt/data-structure-python | 0729f486f516ce05acdd92b28b108f43b67f656f | [
"MIT"
] | 1 | 2022-01-10T17:17:35.000Z | 2022-01-10T17:17:35.000Z | experiments/reversed_string_stack.py | shruti-bt/data-structure-python | 0729f486f516ce05acdd92b28b108f43b67f656f | [
"MIT"
] | null | null | null | experiments/reversed_string_stack.py | shruti-bt/data-structure-python | 0729f486f516ce05acdd92b28b108f43b67f656f | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
str_ = input()
stack = Stack()
for i in str_:
stack.push(i)
for j in range(len(stack)):
print(stack.pop(), end='')
print()
| 19.192308 | 35 | 0.519038 |
95b40e4094e935db9b4e39bc3de9c67b55114bbe | 484 | py | Python | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | app/run.py | dudikbender/geocoder | af8c0839d3d73c7825a0488763d053b5e6bc8257 | [
"Unlicense"
] | null | null | null | from utils.db import connection, print_version
import pandas as pd
table = 'data/tables/postcode_coordinates.csv'
add_table(table, 'Postcode_coordinates', connection)
cur = connection.cursor()
cur.execute('''SELECT *
FROM Postcode_coordinates''')
data = cur.fetchmany(5)
print(data) | 25.473684 | 76 | 0.727273 |
95b525d705b0f34eba83af30d5fc61bd4affc2f0 | 48 | pyw | Python | seemee.pyw | gaming32/SeeMee | a99655efdd9e1aea218474bcdbd1370954a366d2 | [
"MIT"
] | null | null | null | seemee.pyw | gaming32/SeeMee | a99655efdd9e1aea218474bcdbd1370954a366d2 | [
"MIT"
] | null | null | null | seemee.pyw | gaming32/SeeMee | a99655efdd9e1aea218474bcdbd1370954a366d2 | [
"MIT"
] | null | null | null | import runpy
runpy._run_module_as_main('SeeMee') | 24 | 35 | 0.854167 |
95b591115eff8da9eaed281f3f62bddae8faefca | 755 | py | Python | model/param_const.py | tototo617/Biomodel-Raia2011 | a06d531e3d9f18ddee1d85a19d8c57363be3da8e | [
"MIT"
] | null | null | null | model/param_const.py | tototo617/Biomodel-Raia2011 | a06d531e3d9f18ddee1d85a19d8c57363be3da8e | [
"MIT"
] | null | null | null | model/param_const.py | tototo617/Biomodel-Raia2011 | a06d531e3d9f18ddee1d85a19d8c57363be3da8e | [
"MIT"
] | null | null | null | from .name2idx import parameters as C | 31.458333 | 46 | 0.682119 |
95b6aab732ea16915f09231a8049e60f6f242ea6 | 593 | py | Python | flaskr/commands.py | aicioara-old/flask_tutorial2 | acb5c6fa2743f2f060ad6a3a26cc7eef56b6490b | [
"MIT"
] | null | null | null | flaskr/commands.py | aicioara-old/flask_tutorial2 | acb5c6fa2743f2f060ad6a3a26cc7eef56b6490b | [
"MIT"
] | null | null | null | flaskr/commands.py | aicioara-old/flask_tutorial2 | acb5c6fa2743f2f060ad6a3a26cc7eef56b6490b | [
"MIT"
] | null | null | null | import os
import datetime
import click
from flask.cli import with_appcontext
from werkzeug.security import generate_password_hash
| 20.448276 | 82 | 0.735245 |
95b6e78900559f4f960f26e452c446bb79f637e4 | 191 | py | Python | intel_bot_sentenca_rj_civel/test.py | slarda/Web-Scrapping-Bots-For-Crawling-Docs | aa8ce3c72bfbe2111d16655ffc3a6759a825946e | [
"Apache-2.0"
] | 1 | 2020-12-17T11:21:01.000Z | 2020-12-17T11:21:01.000Z | intel_bot_sentenca_rj_civel/test.py | soft-super/Web-Scrapping-Bots-For-Crawling-Docs | aa8ce3c72bfbe2111d16655ffc3a6759a825946e | [
"Apache-2.0"
] | 5 | 2021-03-19T01:48:07.000Z | 2021-06-09T18:26:31.000Z | intel_bot_sentenca_rj_civel/test.py | tiny-1996/Web-Scrapping-Bots-For-Crawling-Docs | aa8ce3c72bfbe2111d16655ffc3a6759a825946e | [
"Apache-2.0"
] | null | null | null | with open('./logs/test.log', 'r') as f1:
data = f1.readlines()
formatted = [x.replace('.pdf', '') for x in data]
with open('./logs/test2.log', 'r') as f1:
f1.writelines(formatted)
| 21.222222 | 49 | 0.602094 |
95b771302ac3436f68366f36390ccc4ddba021fd | 2,206 | py | Python | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 1 | 2020-04-11T16:46:56.000Z | 2020-04-11T16:46:56.000Z | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 3 | 2020-04-13T10:42:59.000Z | 2020-07-10T06:26:23.000Z | validator_rewards/validator_rewards.py | harmony-one/monitor-ops | 0a379655ff26bff5821cd7cb6f619a15a308441b | [
"MIT"
] | 2 | 2020-04-22T10:36:25.000Z | 2020-05-20T15:58:02.000Z | import argparse
import json
from pyhmy import (
get_all_validator_addresses,
get_validator_information
)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("--start", required=True, type=int, help="First block")
parser.add_argument("--end", required=True, type=int, h... | 31.514286 | 96 | 0.609248 |
95b980c29bfb10b077998e38727075e9d4e823a6 | 2,271 | py | Python | day4/day4.py | UncleTed/adventOfCode2020 | 382560f7aee89f6b04b2ee60882d3801425ea46c | [
"MIT"
] | null | null | null | day4/day4.py | UncleTed/adventOfCode2020 | 382560f7aee89f6b04b2ee60882d3801425ea46c | [
"MIT"
] | null | null | null | day4/day4.py | UncleTed/adventOfCode2020 | 382560f7aee89f6b04b2ee60882d3801425ea46c | [
"MIT"
] | null | null | null | import re
valid = ['hcl', 'iyr', 'pid', 'ecl', 'hgt','eyr', 'byr' ]
#part1()
part2() | 27.695122 | 66 | 0.483928 |
95bb338ca37179ca6d20e80795bb6cc5417559db | 535 | py | Python | app/shared/models.py | prapeller/blackemployer_api | ae9232773e6e164b22ffccf0b39dd9a4c2a036cf | [
"MIT"
] | null | null | null | app/shared/models.py | prapeller/blackemployer_api | ae9232773e6e164b22ffccf0b39dd9a4c2a036cf | [
"MIT"
] | null | null | null | app/shared/models.py | prapeller/blackemployer_api | ae9232773e6e164b22ffccf0b39dd9a4c2a036cf | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import ArrayField
from utils.model_utils import default_1d_array_of_strings
| 35.666667 | 96 | 0.773832 |
95bbb3583a2750d5735e9244fe93a6a446fb803f | 8,314 | py | Python | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 76 | 2020-02-08T03:15:54.000Z | 2022-03-04T16:14:52.000Z | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 5 | 2020-02-07T14:00:58.000Z | 2021-05-31T01:37:55.000Z | dataset/data_load.py | clovaai/symmetrical-synthesis | 207953b1ae3d2e0a96fb676db3669bdc88cc18e8 | [
"MIT"
] | 13 | 2020-02-10T02:56:51.000Z | 2021-05-28T06:56:30.000Z | '''
symmetrical-synthesis
Copyright (c) 2020-present NAVER Corp.
MIT license
'''
import os
import time
import glob
import cv2
import random
import numpy as np
import tensorflow as tf
import random
try:
import data_util
except ImportError:
from dataset import data_util
tf.app.flags.DEFINE_boolean('random_resize... | 35.228814 | 170 | 0.615227 |
95bc1cbdca2faf1169e04427ea20b03a36f4f201 | 1,678 | py | Python | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | python_parikshith21/Day39.py | 01coders/50-Days-Of-Code | 98928cf0e186ee295bc90a4da0aa9554e2918659 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 17 20:55:53 2019
@author: Parikshith.H
"""
import sqlite3
conn=sqlite3.connect('music.sqlite')
cur=conn.cursor()
cur.execute('DROP TABLE IF EXISTS Tracks')
cur.execute('CREATE TABLE Tracks(title TEXT,plays INTEGER)')
cur.execute('''INSERT INTO Tracks(title,plays) VALUES... | 28.440678 | 80 | 0.544696 |
95bd0c7bd55d7d49e38f428fd858ef62fbc90459 | 269 | py | Python | tests/ansible/lib/modules/custom_python_external_pkg.py | webcoast-dk/mitogen | a5fe4a9fac5561511b676fe61ed127b732be5b12 | [
"BSD-3-Clause"
] | 1,526 | 2017-09-15T18:49:40.000Z | 2021-01-17T16:04:12.000Z | tests/ansible/lib/modules/custom_python_external_pkg.py | webcoast-dk/mitogen | a5fe4a9fac5561511b676fe61ed127b732be5b12 | [
"BSD-3-Clause"
] | 682 | 2017-09-11T17:43:12.000Z | 2021-01-17T05:26:26.000Z | tests/ansible/lib/modules/custom_python_external_pkg.py | webcoast-dk/mitogen | a5fe4a9fac5561511b676fe61ed127b732be5b12 | [
"BSD-3-Clause"
] | 111 | 2017-09-15T23:21:37.000Z | 2021-01-01T14:45:35.000Z | #!/usr/bin/python
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.externalpkg import extmod
if __name__ == '__main__':
main()
| 22.416667 | 52 | 0.750929 |
95bd18d246cfb63e62a2a8d0384166889102ed92 | 1,869 | py | Python | mlangpy/metalanguages/EBNF.py | rium9/mlangpy | 75821306b15d72278220d2a1a403daa36f60cc4a | [
"MIT"
] | 1 | 2020-04-20T20:23:31.000Z | 2020-04-20T20:23:31.000Z | mlangpy/metalanguages/EBNF.py | rium9/mlangpy | 75821306b15d72278220d2a1a403daa36f60cc4a | [
"MIT"
] | null | null | null | mlangpy/metalanguages/EBNF.py | rium9/mlangpy | 75821306b15d72278220d2a1a403daa36f60cc4a | [
"MIT"
] | null | null | null | from ..grammar import *
from .Metalanguage import Metalanguage
| 29.203125 | 83 | 0.652755 |
95bd8914d357d073cde74eb4ec195a84ebfe2b04 | 560 | py | Python | app/tests/test_db/test_jobs_crud.py | JvitorS23/jobboard_fastAPI | 5abcc69f19417ad99352c0434db96407e2d7da76 | [
"MIT"
] | 1 | 2021-10-01T16:40:33.000Z | 2021-10-01T16:40:33.000Z | app/tests/test_db/test_jobs_crud.py | JvitorS23/jobboard_fastAPI | 5abcc69f19417ad99352c0434db96407e2d7da76 | [
"MIT"
] | null | null | null | app/tests/test_db/test_jobs_crud.py | JvitorS23/jobboard_fastAPI | 5abcc69f19417ad99352c0434db96407e2d7da76 | [
"MIT"
] | null | null | null | from sqlalchemy.orm import Session
from db.crud.jobs import create_new_job, retrieve_job
from schemas.jobs import JobCreate
from tests.utils.users import create_random_owner
from tests.utils.jobs import create_sample_job
def test_retrieve_job_by_id(db_session: Session):
"""Test retrieving job from db"""
owner... | 37.333333 | 67 | 0.792857 |
95c0ec3bbf5dfcbc14218087f1c41fdd10c1b36f | 5,135 | py | Python | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | spacy/tests/website/test_home.py | moyogo/spacy | ddf5c5bb61864320189ebc70dac3bc10e4ecde82 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
import pytest
import spacy
import os
try:
xrange
except NameError:
xrange = range
def test_get_and_set_string_views_and_flags(nlp, token):
assert token.shape_ == 'Xxxxx'
for lexeme in nlp.vocab:
if lexeme.is_alpha:
lexeme.shape_ = 'W'
... | 28.370166 | 78 | 0.631353 |
95c1052429e03206d9d42e4ca673e5f48a3f3906 | 35,774 | py | Python | bridge_sim/internal/make/ps_question.py | jerbaroo/bridge-sim | c4ec1c18a07a78462ccf3b970a99a1bd7efcc2af | [
"MIT"
] | 2 | 2020-05-12T11:41:49.000Z | 2020-08-10T15:00:58.000Z | bridge_sim/internal/make/ps_question.py | barischrooneyj/bridge-sim | c4ec1c18a07a78462ccf3b970a99a1bd7efcc2af | [
"MIT"
] | 48 | 2020-05-11T23:58:22.000Z | 2020-09-18T20:28:52.000Z | bridge_sim/internal/make/ps_question.py | jerbaroo/bridge-sim | c4ec1c18a07a78462ccf3b970a99a1bd7efcc2af | [
"MIT"
] | 1 | 2020-05-27T12:43:37.000Z | 2020-05-27T12:43:37.000Z | import os
from copy import deepcopy
import matplotlib.pyplot as plt
import numpy as np
from bridge_sim import model, sim, temperature, traffic, plot, util
from bridge_sim.model import Config, Point, Bridge
from bridge_sim.plot.util import equal_lims
from bridge_sim.sim.responses import without
from bridge_sim.util im... | 38.138593 | 148 | 0.587494 |
95c1db49e8979342f440e2ee5e1a48186d51308c | 936 | py | Python | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | parsers/download_data.py | bioinf-mcb/polish-microbiome-project | 0fc15b1a5afe4edf63b6be6b945ac4053e3a24f9 | [
"BSD-3-Clause"
] | null | null | null | #%%
import json
import requests
from io import StringIO
import pandas as pd
# %%
with open("../db_pass", "r") as f:
token = json.load(f)['token']
# %%
data = {
'token': token,
'content': 'record',
'format': 'csv',
'type': 'flat',
'csvDelimiter': '',
'rawOrLabel': 'raw',
'rawOrLabelHead... | 23.4 | 113 | 0.63141 |
95c256321ed64a1e2f22ab370936dbb097ea26b8 | 2,622 | py | Python | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 599 | 2020-04-14T19:28:58.000Z | 2022-03-26T11:29:37.000Z | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 157 | 2020-04-14T21:13:43.000Z | 2022-02-07T06:30:16.000Z | preprocess/sequence_stats.py | ashish-roopan/fsgan | 1582e112d0f59cd32920ac5953baec783e088cad | [
"CC0-1.0"
] | 150 | 2020-04-14T20:40:41.000Z | 2022-03-30T10:50:21.000Z | """
Sequence statistics: Count, length, bounding boxes size.
"""
import os
from glob import glob
import pickle
from tqdm import tqdm
if __name__ == "__main__":
# Parse program arguments
import argparse
parser = argparse.ArgumentParser('detections2sequences')
parser.add_argument('input', metavar='DIR... | 35.432432 | 114 | 0.622426 |
95c285b58cd596c463e5846360384f8f0b80a4d5 | 352 | py | Python | app/migrations/0004_auto_20200704_0405.py | duorah/GRanDpa-Family-Tree | 613df3fb61a8dd5eba7416ad6f8fda80e350bbe1 | [
"MIT"
] | 1 | 2020-07-13T21:03:17.000Z | 2020-07-13T21:03:17.000Z | app/migrations/0004_auto_20200704_0405.py | duorah/grandpa-family-tree | 613df3fb61a8dd5eba7416ad6f8fda80e350bbe1 | [
"MIT"
] | null | null | null | app/migrations/0004_auto_20200704_0405.py | duorah/grandpa-family-tree | 613df3fb61a8dd5eba7416ad6f8fda80e350bbe1 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-04 04:05
from django.db import migrations
| 19.555556 | 54 | 0.602273 |
95c5e262b4da5f7adb2dec6d61c74e3194680b9a | 7,735 | py | Python | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 9 | 2017-11-16T12:39:11.000Z | 2021-10-16T19:30:52.000Z | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 1 | 2017-11-16T14:20:20.000Z | 2017-11-20T18:49:14.000Z | tests/test_dossier.py | openkamer/tk-api-python | 907b98ccc7602ad7e3e74f1e06f9544fbe66aba3 | [
"MIT"
] | 3 | 2018-09-10T18:57:39.000Z | 2020-06-09T14:13:10.000Z | import datetime
from tkapi.util import queries
from tkapi.zaak import Zaak, ZaakSoort
from tkapi.dossier import Dossier, DossierWetsvoorstel
from tkapi.document import Document
from .core import TKApiTestCase
| 39.065657 | 118 | 0.648869 |
95c7b536f4cc90da867d02e9f53e889cad554b21 | 27,649 | py | Python | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | 3 | 2021-06-16T12:27:22.000Z | 2022-01-04T11:21:35.000Z | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | null | null | null | Manuscript files/modflow_reference/auxfile_hexaplot.py | MaxRamgraber/Simple-AEM-Toolbox | 27751103f5e504dd675ba6225f2aee9f85d7c85d | [
"MIT"
] | 3 | 2021-06-17T11:20:20.000Z | 2022-01-12T09:56:56.000Z | """
This library contains several functions designed to help with the illustration of hexagonal grids
Functions:
plot_hexagaons : plots a specified data vector over a 2-D hexagon grid.
create_alpha_mask : creates an alpha shape (a concave hull), which is required for plotting contou... | 42.66821 | 240 | 0.537054 |
95c8f1ad4e81caf4b83710c865b7efb620f7466e | 58,889 | py | Python | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 14 | 2020-07-21T21:09:25.000Z | 2022-01-30T11:00:35.000Z | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 2 | 2020-07-28T14:46:11.000Z | 2020-07-28T14:52:23.000Z | tests/python/self_concepts_test.py | JulianAL-01/self-concepts | d4a5ebfdadc472535777349602c775a67aaa3823 | [
"MIT"
] | 5 | 2020-07-28T13:50:20.000Z | 2021-07-12T22:56:11.000Z | '''
self_concepts_test
This module serves as the unit test for self_concepts
'''
import argparse, sys
sys.path.append('../../source/python')
from self_concepts import Concept
from self_concepts import Property
from self_concepts import Relationship
from self_concepts import Ontology
from self_concepts import Blackb... | 40.252221 | 120 | 0.69558 |
95c9bf8a576fcba5f592caf1b205652fbf6c6df7 | 1,042 | py | Python | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 990 | 2018-06-05T11:49:22.000Z | 2022-03-31T08:59:17.000Z | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 1 | 2021-11-01T01:29:38.000Z | 2021-11-01T01:29:38.000Z | 100-200q/123.py | rampup01/Leetcode | 8450a95a966ef83b24ffe6450f06ce8de92b3efb | [
"MIT"
] | 482 | 2018-06-12T22:16:53.000Z | 2022-03-29T00:23:29.000Z | '''
Say you have an array for which the ith element is the price of a given stock on day i.
Design an algorithm to find the maximum profit. You may complete at most two transactions.
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
Example 1... | 30.647059 | 121 | 0.579655 |
95ca4ff47bbf69d356929cfddbfe83070e5ea793 | 2,077 | py | Python | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 9 | 2019-12-30T16:32:22.000Z | 2020-03-03T20:14:47.000Z | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 283 | 2020-02-03T15:16:03.000Z | 2020-05-05T03:18:59.000Z | lambdas/verify_admin.py | charvi-a/320-S20-Track1 | ac97504fc1fdedb1c311773b015570eeea8a8663 | [
"BSD-3-Clause"
] | 3 | 2020-04-16T15:23:29.000Z | 2020-05-12T00:38:41.000Z | import json
from package.query_db import query
from package.dictionary_to_list import dictionary_to_list
from package.lambda_exception import LambdaException
from boto3 import client as boto3_client
| 42.387755 | 148 | 0.639384 |
95cadfb3b8d6c3a18abd5334655fd77acc7c9759 | 4,821 | py | Python | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | run.py | Galaxy-SynBioCAD/rp2paths | f87ea0f64556be44af1ae717cd4246159253d029 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Created on September 21 2019
@author: Melchior du Lac
@description: Wrap rp2paths into a docker
"""
import argparse
import tempfile
import os
import logging
import shutil
import docker
import glob
def main(rp_pathways, rp2paths_pathways, rp2paths_compounds, timeout=30, max_steps=0, max_pa... | 43.827273 | 158 | 0.611077 |
95cae2c1de14d040a592e9ed57f23f978ae86e71 | 150 | py | Python | test_cases/conftest.py | majdukovic/pybooker | b9a373d556be0481c93a528f731407ca7a47b11f | [
"MIT"
] | null | null | null | test_cases/conftest.py | majdukovic/pybooker | b9a373d556be0481c93a528f731407ca7a47b11f | [
"MIT"
] | null | null | null | test_cases/conftest.py | majdukovic/pybooker | b9a373d556be0481c93a528f731407ca7a47b11f | [
"MIT"
] | null | null | null | import pytest
from framework.services.booker_client import BookerClient
booker_client = BookerClient()
| 15 | 57 | 0.786667 |
95cb8a34cde724ada03c12bdaeb21669317ed997 | 402 | py | Python | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | 44 | 2018-11-19T16:49:10.000Z | 2021-12-05T10:16:24.000Z | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | null | null | null | verilator/scripts/concat_up5k.py | micro-FPGA/engine-V | 00a8f924e10fc69874d9c179f788bf037fe9c407 | [
"Apache-2.0"
] | 5 | 2018-12-05T23:43:21.000Z | 2020-09-03T04:36:34.000Z |
spiFile = open('spiflash.bin','wb')
# 128KB is reserved for bitstream
bitFile = open('../bitstream/mf8a18_rv32i.bin','rb')
bitData = bitFile.read(0x20000)
riscvFile = open('riscv.bin','rb')
riscvData = riscvFile.read(32768)
spiFile.write(bitData)
spiFile.seek(0x20000)
spiFile.write(riscvData)
nullData = bytearray... | 17.478261 | 52 | 0.748756 |
95cda288d497faae566e114db4bdc1e1b83b2b52 | 753 | py | Python | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | 6 | 2019-11-20T20:08:42.000Z | 2022-02-24T12:24:20.000Z | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | 6 | 2020-01-27T16:15:11.000Z | 2021-04-12T11:42:11.000Z | pyvista_gui/options.py | akaszynski/pyvista-gui | 4ed7e3a52026dfeab4e82a300b92a92f43060dda | [
"MIT"
] | null | null | null | """Options for saving user prefences, etc.
"""
import json
import os
import pyvista
# The options
rcParams = RcParams(
dark_mode=False,
)
# Load user prefences from last session if none exist, save defaults
try:
rcParams.load()
except:
rcParams.save()
| 19.815789 | 68 | 0.629482 |
95cdaf4dfa1b6e4f1d482661c80dff3aa859d8b1 | 11,978 | py | Python | validatearcgisenterprisedeployment.py | pheede/ArcGIS-Server-Stuff | 9b491d2f4edebec3f613182981f4e50dcc7641a3 | [
"Apache-2.0"
] | 6 | 2017-05-31T10:44:09.000Z | 2020-12-18T18:12:15.000Z | validatearcgisenterprisedeployment.py | pheede/ArcGIS-Server-Stuff | 9b491d2f4edebec3f613182981f4e50dcc7641a3 | [
"Apache-2.0"
] | 1 | 2021-09-30T21:20:59.000Z | 2021-09-30T23:55:48.000Z | validatearcgisenterprisedeployment.py | pheede/ArcGIS-Server-Stuff | 9b491d2f4edebec3f613182981f4e50dcc7641a3 | [
"Apache-2.0"
] | 2 | 2017-12-28T19:30:23.000Z | 2019-10-04T20:34:27.000Z | """This script validates an ArcGIS Enterprise deployment to ensure it is
configured properly with all the required components such as Portal for ArcGIS,
ArcGIS Server, ArcGIS Data Store and the associated configuration.
Designed for ArcGIS Enterprise 10.5 and higher."""
# Author: Philip Heede <pheede@esri.com>
# Last... | 46.972549 | 153 | 0.655034 |
95ce4cab43e2034234aed87a60cc3f00447f9524 | 4,445 | py | Python | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | 1 | 2019-12-27T22:36:30.000Z | 2019-12-27T22:36:30.000Z | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | null | null | null | 2020/aoc/__init__.py | amochtar/adventofcode | 292e7f00a1e19d2149d00246b0a77fedfcd3bd08 | [
"MIT"
] | null | null | null | import itertools
import re
import math
from typing import List, Tuple
def ints(text: str) -> Tuple[int, ...]:
"Return a tuple of all ints in a string"
return tuple(map(int, re.findall(r'-?\b\d+\b', text)))
def powerset(iterable):
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
s ... | 26.939394 | 109 | 0.526659 |
95ce971f5a305cd3a19578c204fef92020757f3c | 4,431 | py | Python | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | pi_source_code.py | cjkuhlmann/CCHack2019 | fb6eb505ac350c2dda0c36e1f33254fbeef049bf | [
"MIT"
] | null | null | null | import math
import time
from max30105 import MAX30105, HeartRate
import smbus
from bme280 import BME280
import socket
#from matplotlib import pyplot as plt
dev = Device()
dev.setup_sensors()
dev.setup_network()
for i in range(2):
dev.update()
while True:
try:
dev.update()
dev.uplo... | 28.403846 | 83 | 0.558565 |
95cead6bce011703374b48a18d5379f241d0c282 | 1,417 | py | Python | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | 2 | 2019-08-22T08:57:42.000Z | 2019-11-28T14:01:49.000Z | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | null | null | null | butter/mas/clients/client_factory.py | bennymeg/Butter.MAS.PythonAPI | 9641293436d989ae9c5324c2b8129f232822b248 | [
"Apache-2.0"
] | null | null | null | from .client_http import HttpClient
from .client_tcp import TcpClient
from .client_udp import UdpClient
from .client import Client
| 30.148936 | 81 | 0.56669 |
95ceaebae16674be2fef2960c47326152d1eb461 | 1,569 | py | Python | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | scrapytest/spiders/ScrapyDemo5.py | liang1024/Scrapy | bfa7ea5b2174bf91c49f4da9dadc5471acc43092 | [
"Apache-2.0"
] | null | null | null | import scrapy
'''
<ul class="pager">
<li class="next">
<a href="/page/2/">Next <span aria-hidden="true">→</span></a>
</li>
</ul>
shell
>>> response.css('li.next a').extract_first()
'<a href="/page/2/">Next <span aria-hidden="true"></span></a>'
hrefScrapyCSS
>>> response.css('li.next a::attr(... | 24.138462 | 116 | 0.66348 |
95cf45edd5e367889b2e72c5aaae8636bfca5ddc | 909 | py | Python | tests/test_objectives.py | theislab/AutoGeneS | 22bde0d5eba013e90edb85341e0bd9c28b82e7fd | [
"MIT"
] | 46 | 2020-02-25T14:09:21.000Z | 2022-01-20T16:42:40.000Z | tests/test_objectives.py | theislab/AutoGeneS | 22bde0d5eba013e90edb85341e0bd9c28b82e7fd | [
"MIT"
] | 16 | 2020-03-18T15:08:42.000Z | 2022-01-29T20:00:10.000Z | tests/test_objectives.py | theislab/AutoGeneS | 22bde0d5eba013e90edb85341e0bd9c28b82e7fd | [
"MIT"
] | 6 | 2020-02-13T14:23:46.000Z | 2021-12-28T16:50:50.000Z | import pytest
import numpy as np
import pandas as pd
from scipy.special import binom
import os
import sys
sys.path.insert(0, "..")
from autogenes import objectives as ga_objectives
| 23.307692 | 84 | 0.630363 |
95cf9c3a1a9e3db6fb75803b4f3891c4c503d528 | 15,563 | py | Python | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | digits/model/forms.py | Linda-liugongzi/DIGITS-digits-py3 | 6df5eb6972574a628b9544934518ec8dfa9c7439 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014-2017, NVIDIA CORPORATION. All rights reserved.
import os
import flask
from flask_wtf import FlaskForm
import wtforms
from wtforms import validators
from digits.config import config_value
from digits.device_query import get_device, get_nvml_info
from digits import utils
f... | 36.791962 | 122 | 0.556512 |
95d02019dda244ece2c09a15f8673c55536ad4de | 1,155 | py | Python | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | null | null | null | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | 4 | 2020-06-09T19:10:04.000Z | 2020-06-17T18:23:47.000Z | 004 Sons/afinacao.py | yamadathamine/300ideiasparaprogramarPython | 331a063bbf8bcd117ae5a34324b8176a6014fc98 | [
"MIT"
] | null | null | null | # encoding: utf-8
# usando python 3
# Afinao - Alberto toca violo e programador.
# Precisando afinar o violo e sem diapaso por perto,
# resolveu fazer um programa para ajud-lo.
# O que ele queria era a nota L soando sem parar at que ele conseguisse afinar a
# respectiva corda do violo; as demais cordas ele poderi... | 35 | 88 | 0.735931 |
95d0529ff78fe4e15217221008da8dabb874d847 | 138 | py | Python | python/flask-app/data.py | zkan/100DaysOfCode | 3c713ead94a9928e2d0f8d794e49ec202dc64ba3 | [
"MIT"
] | 2 | 2019-05-01T00:32:30.000Z | 2019-11-20T05:23:05.000Z | python/flask-app/data.py | zkan/100DaysOfCode | 3c713ead94a9928e2d0f8d794e49ec202dc64ba3 | [
"MIT"
] | 15 | 2020-09-05T18:35:04.000Z | 2022-03-11T23:44:47.000Z | python/flask-app/data.py | zkan/100DaysOfCode | 3c713ead94a9928e2d0f8d794e49ec202dc64ba3 | [
"MIT"
] | null | null | null | fav_beer = {'Julian': 'White Rabbit Dark Ale',
'Bob': 'Some sort of light beer I assume',
'Mike': 'Oregano Beer'}
| 34.5 | 54 | 0.550725 |
95d185b829b29c3736cdbb9908672dc12ffef154 | 548 | py | Python | appengine/chrome_infra_packages/apps.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | 1 | 2018-01-02T05:47:07.000Z | 2018-01-02T05:47:07.000Z | appengine/chrome_infra_packages/apps.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | appengine/chrome_infra_packages/apps.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"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.
"""Actual WSGI app instantiations used from app.yaml.
Extracted to a separate module to avoid calling 'initialize' in unit tests
during module loading time.... | 28.842105 | 74 | 0.810219 |
95d4bf219897990197feea13feb7cf1258d214c8 | 6,298 | py | Python | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | """Layer classes."""
from __future__ import absolute_import
import abc
import six
import tensorflow as tf
| 28.497738 | 77 | 0.563671 |
95d7f54672f221417081565b033268249f18412b | 835 | py | Python | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | tests/test_modules/test_builtin/test_grouppart.py | MattTaylorDLS/pymalcolm | 995a8e4729bd745f8f617969111cc5a34ce1ac14 | [
"Apache-2.0"
] | null | null | null | import unittest
from malcolm.core import call_with_params
from malcolm.modules.builtin.parts import GroupPart
| 32.115385 | 70 | 0.653892 |
95d8eae1e421c5a5d85e31ca5953813a5295d371 | 512 | py | Python | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 1 | 2020-02-10T17:53:58.000Z | 2020-02-10T17:53:58.000Z | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 6 | 2020-01-06T19:37:12.000Z | 2021-09-22T18:03:31.000Z | ok2_backend/common/utils.py | Mipsters/ok2-backend | 50ddbb44262749d731f4e923add205541254223d | [
"MIT"
] | 5 | 2019-11-18T17:39:29.000Z | 2020-07-31T16:00:21.000Z | import os
from jose import jwt
from datetime import datetime, timedelta
JWT_SECRET = 'secret'
JWT_ALGORITHM = 'HS256'
JWT_EXP_DELTA_SECONDS = 31556952 # year
| 23.272727 | 85 | 0.722656 |
95da8c78112cb6f44e754d89ffd5c8e26c67e104 | 1,238 | py | Python | backend/ai4all_api/models.py | kevromster/ai4all | 39da1a95c4e06780f5712bb6e6ecb1f570e5d639 | [
"Apache-2.0"
] | null | null | null | backend/ai4all_api/models.py | kevromster/ai4all | 39da1a95c4e06780f5712bb6e6ecb1f570e5d639 | [
"Apache-2.0"
] | null | null | null | backend/ai4all_api/models.py | kevromster/ai4all | 39da1a95c4e06780f5712bb6e6ecb1f570e5d639 | [
"Apache-2.0"
] | null | null | null | import os
from django.db import models
from ai4all_api.detection_items import DETECTION_ITEMS
from ai4all_api.notification_types import NOTIFICATION_TYPES
| 35.371429 | 86 | 0.757674 |