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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17553a498d4907cf69fd13bc2a596ad111d2d7ca | 219 | py | Python | cupcake/config/__init__.py | billyeatcookies/cupcake | 2f2d1d5f8a1a454e50283547cf433cc82d1825d6 | [
"MIT"
] | 3 | 2022-03-29T12:55:24.000Z | 2022-03-30T17:06:11.000Z | cupcake/config/__init__.py | billyeatcookies/Cupcake | 2f2d1d5f8a1a454e50283547cf433cc82d1825d6 | [
"MIT"
] | null | null | null | cupcake/config/__init__.py | billyeatcookies/Cupcake | 2f2d1d5f8a1a454e50283547cf433cc82d1825d6 | [
"MIT"
] | null | null | null | from tkinter import font
class Config:
def __init__(self, master, *args, **kwargs):
self.master = master
self.font = font.Font(
family="Consolas",
size=11, weight="normal")
| 21.9 | 48 | 0.579909 | 191 | 0.872146 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.082192 |
175675d7610b11f7f5a72c44eb62e7eb639038db | 1,372 | py | Python | plugins/operators/vivareal_operator.py | lucaspfigueiredo/elt-pipeline | 71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f | [
"MIT"
] | 2 | 2022-03-29T23:48:35.000Z | 2022-03-30T02:10:34.000Z | plugins/operators/vivareal_operator.py | lucaspfigueiredo/elt-pipeline | 71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f | [
"MIT"
] | null | null | null | plugins/operators/vivareal_operator.py | lucaspfigueiredo/elt-pipeline | 71537f5c2bd2e6502ea44c8dab44cc4ba8919e7f | [
"MIT"
] | null | null | null | import json
import logging
from hooks.vivareal_hook import VivarealHook
from airflow.utils.decorators import apply_defaults
from airflow.models.baseoperator import BaseOperator
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
class... | 31.181818 | 80 | 0.625364 | 945 | 0.688776 | 0 | 0 | 212 | 0.154519 | 0 | 0 | 151 | 0.110058 |
1757cb3adbb9ba3e3de2859b8f9845a3c7c5f97a | 12,676 | py | Python | utils/yolo.py | Cuda-Chen/fish-yolo-grabcut | 359da92815d49a7d238fe8de7bd51e5de68f0d40 | [
"MIT"
] | 7 | 2020-01-20T00:33:29.000Z | 2022-01-01T04:36:06.000Z | utils/yolo.py | ZurMaD/fish-yolo-grabcut | c2570691143df36d528d2b3c115bf2bc29cddfd6 | [
"MIT"
] | 1 | 2020-01-09T09:18:29.000Z | 2020-01-16T13:22:43.000Z | utils/yolo.py | Cuda-Chen/fish-yolo-grabcut | 359da92815d49a7d238fe8de7bd51e5de68f0d40 | [
"MIT"
] | 5 | 2020-06-20T01:50:10.000Z | 2020-12-24T09:13:10.000Z | #!/usr/bin/python
import numpy as np
import argparse
import time
import cv2 as cv
import os
def runYOLODetection(args):
# load my fish class labels that my YOLO model was trained on
labelsPath = os.path.sep.join([args["yolo"], "fish.names"])
#labelsPath = os.path.sep.join([args["yolo"], "coco.names"])
... | 40.758842 | 77 | 0.620227 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,100 | 0.481224 |
1757edeb0108328d5bcd4183eaebb8af3d8998c6 | 1,619 | py | Python | Machine Learning A-Z/Part 1 - Data Preprocessing/data_preprocessing_template.py | SenonLi/LearnPython | 0d37ed625c623a79daa9c4407751050e683fa3ed | [
"Apache-2.0"
] | null | null | null | Machine Learning A-Z/Part 1 - Data Preprocessing/data_preprocessing_template.py | SenonLi/LearnPython | 0d37ed625c623a79daa9c4407751050e683fa3ed | [
"Apache-2.0"
] | null | null | null | Machine Learning A-Z/Part 1 - Data Preprocessing/data_preprocessing_template.py | SenonLi/LearnPython | 0d37ed625c623a79daa9c4407751050e683fa3ed | [
"Apache-2.0"
] | null | null | null | # Data Preprocessing
# Importing the libraries
import numpy as np # numpy is the library that contains mathematical tools
import matplotlib.pyplot as plt # help plot charts
import pandas as pd # import data sets and manage data sets
# 1. Importing the dataset
df = pd.read_csv('Dat... | 43.756757 | 118 | 0.732551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,210 | 0.7437 |
1758ea53434e4693152e9c5c19753c1eb492d79b | 13,073 | py | Python | Artie/internals/rl/environment.py | MaxStrange/ArtieInfant | 1edbb171a5405d2971227f2d2d83acb523c70034 | [
"MIT"
] | 1 | 2018-04-28T16:55:05.000Z | 2018-04-28T16:55:05.000Z | Artie/internals/rl/environment.py | MaxStrange/ArtieInfant | 1edbb171a5405d2971227f2d2d83acb523c70034 | [
"MIT"
] | null | null | null | Artie/internals/rl/environment.py | MaxStrange/ArtieInfant | 1edbb171a5405d2971227f2d2d83acb523c70034 | [
"MIT"
] | null | null | null | """
This module provides the observations and rewards for testing and
for training the RL agent to vocalize.
"""
import collections
import logging
import math
import numpy as np
import random
import output.voice.synthesizer as synth # pylint: disable=locally-disabled, import-error
import warnings
Step = collections.n... | 47.365942 | 146 | 0.599556 | 12,629 | 0.966037 | 0 | 0 | 1,121 | 0.085749 | 0 | 0 | 6,990 | 0.53469 |
175a3b4d2739554618c982905727d9731a509a3f | 934 | py | Python | boot.py | Ca11MeE/easy_frame | c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8 | [
"Apache-2.0"
] | null | null | null | boot.py | Ca11MeE/easy_frame | c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8 | [
"Apache-2.0"
] | null | null | null | boot.py | Ca11MeE/easy_frame | c3ec3069e3f61d1c01e5bd7ebbdf28e953a8ffa8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
from flask import Flask
import mysql,os,re
from mysql import Pool
import properties
# 定义WEB容器(同时防止json以ascii解码返回)
app=Flask(__name__)
app.config['JSON_AS_ASCII'] = False
# 处理各模块中的自动注入以及组装各蓝图
# dir_path中为蓝图模块路径,例如需要引入的蓝图都在routes文件夹中,则传入参数'/routes'
def map_apps(dir_path):
path=os.getcwd()+dir_path
... | 22.780488 | 96 | 0.639186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.369801 |
175af7185594f72ab16004503b17449a4a18cdad | 3,213 | py | Python | chemprop/train/evaluate.py | wangdingyan/hybridUQ | c141a4bec0e716a12444f7e9ab0d7c975df93184 | [
"MIT"
] | 6 | 2021-10-01T10:17:29.000Z | 2021-12-29T04:37:10.000Z | chemprop/train/evaluate.py | wangdingyan/hybridUQ | c141a4bec0e716a12444f7e9ab0d7c975df93184 | [
"MIT"
] | null | null | null | chemprop/train/evaluate.py | wangdingyan/hybridUQ | c141a4bec0e716a12444f7e9ab0d7c975df93184 | [
"MIT"
] | 1 | 2021-09-21T17:39:03.000Z | 2021-09-21T17:39:03.000Z | from collections import defaultdict
import logging
from typing import Dict, List
from .predict import predict
from chemprop.data import MoleculeDataLoader, StandardScaler
from chemprop.utils.metrics import get_metric_func
from chemprop.models import MoleculeModel, PB_MoleculeModel
def evaluate_predictions(preds ... | 37.360465 | 114 | 0.545907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 176 | 0.054777 |
175b67f79dbb7ac7d6310e3500fdb5ac9365371c | 1,326 | py | Python | packages/w3af/w3af/plugins/tests/infrastructure/test_detect_transparent_proxy.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | 3 | 2019-04-09T22:59:33.000Z | 2019-06-14T09:23:24.000Z | tools/w3af/w3af/plugins/tests/infrastructure/test_detect_transparent_proxy.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | tools/w3af/w3af/plugins/tests/infrastructure/test_detect_transparent_proxy.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | """
test_detect_transparent_proxy.py
Copyright 2012 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation version 2 of the License.
w3af is distribute... | 32.341463 | 86 | 0.717195 | 498 | 0.375566 | 0 | 0 | 239 | 0.180241 | 0 | 0 | 892 | 0.6727 |
175dc9a3ede195f91638565c928e9e3207f1f8ca | 1,026 | py | Python | python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py | samwhelp/demo-libchewing | 13ce445cf1b71e42e765d1500d63234f88700835 | [
"MIT"
] | null | null | null | python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py | samwhelp/demo-libchewing | 13ce445cf1b71e42e765d1500d63234f88700835 | [
"MIT"
] | null | null | null | python/prototype-python2/test-libchewing-contrib/userphrase_enumerate.py | samwhelp/demo-libchewing | 13ce445cf1b71e42e765d1500d63234f88700835 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import chewing
import ctypes
chewing._libchewing.chewing_userphrase_has_next.argtypes = [ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint), ctypes.POINTER(ctypes.c_uint)]
chewing._libchewing.chewing_userphrase_get.argtypes = [ctypes.c_void_p, ctypes.c_char_p, ctypes.c_uint, ... | 30.176471 | 138 | 0.770955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.274854 |
17609d169bbc79d752bdaa535b186028a8ee38c2 | 1,752 | py | Python | sports/excel.py | liliangbin/spider | 05080e862f204ce139249f07787de43781e39887 | [
"Apache-2.0"
] | null | null | null | sports/excel.py | liliangbin/spider | 05080e862f204ce139249f07787de43781e39887 | [
"Apache-2.0"
] | null | null | null | sports/excel.py | liliangbin/spider | 05080e862f204ce139249f07787de43781e39887 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import xlrd
import MySQLdb
import datetime
xlsfile = r'li.xlsx'
book = xlrd.open_workbook(xlsfile)
# 获取sheet的数量
count = len(book.sheets())
sheet = book.sheets()[0]
# 设置连接数据库
database = MySQLdb.connect(host="yb.upc.edu.cn", port=3306, user="yibantest", passwd="yibantest",
... | 23.675676 | 240 | 0.671233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 501 | 0.278333 |
1761cb53f94a10c32873088a40b0c2dc8567f7e7 | 18,276 | py | Python | lib/rule_engine/types.py | rwspielman/rule-engine | 1d84d5599fe5ab34bc8d6fc00bbe00f847352428 | [
"BSD-3-Clause"
] | 149 | 2018-04-04T12:47:38.000Z | 2022-03-25T07:25:55.000Z | lib/rule_engine/types.py | rwspielman/rule-engine | 1d84d5599fe5ab34bc8d6fc00bbe00f847352428 | [
"BSD-3-Clause"
] | 26 | 2020-01-06T17:29:26.000Z | 2022-03-25T07:01:49.000Z | lib/rule_engine/types.py | rwspielman/rule-engine | 1d84d5599fe5ab34bc8d6fc00bbe00f847352428 | [
"BSD-3-Clause"
] | 24 | 2020-02-15T22:58:30.000Z | 2022-03-22T02:15:26.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# rule_engine/types.py
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list ... | 35.695313 | 129 | 0.749343 | 11,787 | 0.644944 | 48 | 0.002626 | 4,992 | 0.273145 | 0 | 0 | 8,964 | 0.490479 |
17620bdfb4cf67a633f129cfa555700c6171ac09 | 125 | py | Python | number2text/main.py | rgreinho/number2text | 1c32c4e0268ea05baaa5e3b1a06431e006d16d21 | [
"MIT"
] | null | null | null | number2text/main.py | rgreinho/number2text | 1c32c4e0268ea05baaa5e3b1a06431e006d16d21 | [
"MIT"
] | null | null | null | number2text/main.py | rgreinho/number2text | 1c32c4e0268ea05baaa5e3b1a06431e006d16d21 | [
"MIT"
] | null | null | null | """Convert a number to its text representation."""
from number2text.cli.cli import cli
if __name__ == '__main__':
cli()
| 20.833333 | 50 | 0.704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.48 |
17623540444eb9269b6276c7ee4a47d541023c28 | 2,437 | py | Python | data_pr_downloader.py | froi/data-pr | 07b386457f1868573181928cc8caecc970e7b44f | [
"MIT"
] | 6 | 2018-01-09T14:58:42.000Z | 2019-09-17T19:52:03.000Z | data_pr_downloader.py | froi/data-pr | 07b386457f1868573181928cc8caecc970e7b44f | [
"MIT"
] | 40 | 2019-08-21T12:05:26.000Z | 2021-07-14T10:39:27.000Z | data_pr_downloader.py | froi/data-pr | 07b386457f1868573181928cc8caecc970e7b44f | [
"MIT"
] | 1 | 2018-01-09T21:23:53.000Z | 2018-01-09T21:23:53.000Z | from datetime import datetime
import json
import logging
from mimetypes import guess_extension
import os
import requests
from slugify import slugify
FORMAT = '%(asctime)-15s - %(message)s'
logging.basicConfig(format=FORMAT)
logger = logging.getLogger('data_pr')
BASE_DATA_DIR = 'data_files'
DATA_PR_CATALOG_PATH = f'{B... | 34.814286 | 87 | 0.685679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 704 | 0.28888 |
1764184768f6f8663aaf405c83cd769d6fb4865b | 1,735 | py | Python | CodeBERT/preprocess_data.py | code-backdoor/code-backdoor | 1eeb3d79aa8a54c8f08e8d0156b569de5edd974e | [
"MIT"
] | null | null | null | CodeBERT/preprocess_data.py | code-backdoor/code-backdoor | 1eeb3d79aa8a54c8f08e8d0156b569de5edd974e | [
"MIT"
] | null | null | null | CodeBERT/preprocess_data.py | code-backdoor/code-backdoor | 1eeb3d79aa8a54c8f08e8d0156b569de5edd974e | [
"MIT"
] | null | null | null | import gzip
import glob
import os
import json
import numpy as np
from more_itertools import chunked
DATA_DIR = '/mnt/wanyao/zsj/codesearchnet'
DEST_DIR = '/mnt/wanyao/zsj/CodeBERT/data/codesearch/train_valid'
def format_str(string):
for char in ['\r\n', '\r', '\n']:
string = string.replace(char, ' ')
... | 33.365385 | 110 | 0.616138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 348 | 0.200576 |
1767751b5d41cd4c05b86fd5734231e3fe189e78 | 201 | py | Python | code-pool/max-min2.py | ColorOfLight/kaist-musynth | 98bf12cfac0722e15db2e9a8e01275b002e7bdf3 | [
"MIT"
] | 1 | 2021-09-06T03:09:40.000Z | 2021-09-06T03:09:40.000Z | code-pool/max-min2.py | ColorOfLight/kaist-musynth | 98bf12cfac0722e15db2e9a8e01275b002e7bdf3 | [
"MIT"
] | null | null | null | code-pool/max-min2.py | ColorOfLight/kaist-musynth | 98bf12cfac0722e15db2e9a8e01275b002e7bdf3 | [
"MIT"
] | null | null | null | n=int(input())
k=int(input())
a=[]
m=0
for i in range(n):
a.append(int(input()))
a.sort(reverse=True)
m=a[0]-a[k-1]
for i in range(n-k+1):
if a[i]-a[i+k-1] < m:
m=a[i]-a[i+k-1]
print(m) | 16.75 | 26 | 0.527363 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17690a767660c008e60f5e5fe1a87037ce7c37c2 | 28,559 | py | Python | bruhat/huffman.py | punkdit/bruhat | 3231eacc49fd3464542f7eb72684751371d9876c | [
"MIT"
] | 3 | 2020-04-07T13:21:30.000Z | 2020-07-15T02:07:20.000Z | bruhat/huffman.py | punkdit/bruhat | 3231eacc49fd3464542f7eb72684751371d9876c | [
"MIT"
] | null | null | null | bruhat/huffman.py | punkdit/bruhat | 3231eacc49fd3464542f7eb72684751371d9876c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
https://golem.ph.utexas.edu/category/2019/03/how_much_work_can_it_be_to_add.html#c055688
see also entropy.py
"""
import sys
from functools import reduce
from operator import add
from math import log, log2
from random import shuffle, choice, randint, seed
#import numpy
#from matplotlib import... | 26.105119 | 101 | 0.482755 | 13,992 | 0.489933 | 2,254 | 0.078924 | 101 | 0.003537 | 0 | 0 | 3,281 | 0.114885 |
176cfc7beca4767a39789010087bddac4d12b45d | 1,759 | py | Python | p384_Shuffle_an_Array.py | bzhou26/leetcode_sol | 82506521e2cc412f96cd1dfc3c8c3ab635f67f73 | [
"MIT"
] | null | null | null | p384_Shuffle_an_Array.py | bzhou26/leetcode_sol | 82506521e2cc412f96cd1dfc3c8c3ab635f67f73 | [
"MIT"
] | null | null | null | p384_Shuffle_an_Array.py | bzhou26/leetcode_sol | 82506521e2cc412f96cd1dfc3c8c3ab635f67f73 | [
"MIT"
] | null | null | null | '''
- Leetcode problem: 384
- Difficulty: Medium
- Brief problem description:
Shuffle a set of numbers without duplicates.
Example:
// Init an array with set 1, 2, and 3.
int[] nums = {1,2,3};
Solution solution = new Solution(nums);
// Shuffle the array [1,2,3] and return its result. Any permutation of [1,2,3] mu... | 23.77027 | 114 | 0.533258 | 1,034 | 0.587834 | 0 | 0 | 0 | 0 | 0 | 0 | 866 | 0.492325 |
176fd12839e770c97951f5799e322a7e99606c06 | 10,613 | py | Python | github_update_dara.py | 9bstudios/mecco_dara | 9c460a10e6bf4c3485e602ecbacdeacefaa9154f | [
"MIT"
] | 10 | 2018-06-04T13:18:23.000Z | 2020-06-14T10:09:57.000Z | github_update_dara.py | 9bstudios/mecco_dara | 9c460a10e6bf4c3485e602ecbacdeacefaa9154f | [
"MIT"
] | null | null | null | github_update_dara.py | 9bstudios/mecco_dara | 9c460a10e6bf4c3485e602ecbacdeacefaa9154f | [
"MIT"
] | 1 | 2018-10-26T05:44:25.000Z | 2018-10-26T05:44:25.000Z | # python
import sys, traceback
import requests, pprint, os, zipfile, shutil, glob, xml.etree.ElementTree, getpass
import json
from os.path import expanduser
#from git import Repo
BASE_URL = "https://api.github.com/repos/pixelfondue/%s/releases/latest"
BASE_PATH = os.path.dirname(os.path.realpath(__file__))
print "bas... | 34.016026 | 95 | 0.647508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,027 | 0.190992 |
17710ad793bc93dd8874daa574ca41c7a810cdf1 | 1,210 | py | Python | nestor/datasets/base.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 16 | 2018-07-06T16:36:56.000Z | 2021-12-13T03:02:02.000Z | nestor/datasets/base.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 46 | 2018-08-06T15:51:35.000Z | 2021-08-02T21:00:51.000Z | nestor/datasets/base.py | usnistgov/nestor-tmp | 6cc35dcf4dac029f94c4bc92783b5dc37bc205ce | [
"RSA-MD"
] | 7 | 2020-04-27T18:56:24.000Z | 2021-08-14T02:44:40.000Z | from pathlib import Path
import pandas as pd
def load_excavators(cleaned=False):
"""
Helper function to load excavator toy dataset.
Hodkiewicz, M., and Ho, M. (2016)
"Cleaning historical maintenance work order data for reliability analysis"
in Journal of Quality in Maintenance Engineering, Vol 22... | 35.588235 | 175 | 0.676033 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 887 | 0.733058 |
177194c329dea268086e33e7d66d605e4b6732f1 | 2,094 | py | Python | server/test/test_server.py | byee123/battleships | 0cd527217c8727f7b3274d8a661cbf8d49aa4276 | [
"MIT"
] | 2 | 2020-11-02T08:04:06.000Z | 2020-11-25T12:20:45.000Z | server/test/test_server.py | byee123/battleships | 0cd527217c8727f7b3274d8a661cbf8d49aa4276 | [
"MIT"
] | 17 | 2020-11-02T04:30:17.000Z | 2020-12-07T00:35:34.000Z | server/test/test_server.py | byee123/battleships | 0cd527217c8727f7b3274d8a661cbf8d49aa4276 | [
"MIT"
] | 14 | 2020-10-05T08:15:59.000Z | 2020-11-28T10:31:40.000Z | import unittest
from game import Game
import server
REDIS_HOST = '192.168.20.50'
class TestServer(unittest.TestCase):
"""Please note that the tests in this suite only work if a Redis
host is available (see REDIS_HOST above).
"""
def test_redis_connection(self):
"""Test that the Battleship ser... | 33.238095 | 70 | 0.617479 | 2,009 | 0.959408 | 0 | 0 | 0 | 0 | 0 | 0 | 528 | 0.252149 |
1772a508f28a639e2e47a3e3c85f76e1e18b4977 | 12,643 | py | Python | src/tenants/management/commands/update_lastseen.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | 1 | 2016-01-18T08:19:22.000Z | 2016-01-18T08:19:22.000Z | src/tenants/management/commands/update_lastseen.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | src/tenants/management/commands/update_lastseen.py | litedesk/litedesk-webserver-provision | 1576b9d3e5e2e64d1136d276767c2710cfb1938f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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... | 45.315412 | 91 | 0.536423 | 11,582 | 0.91608 | 0 | 0 | 0 | 0 | 0 | 0 | 2,553 | 0.20193 |
17738680820320743984fa3e2770dfc03df31cc2 | 83 | py | Python | Chapter 05/Chap05_Example5.47.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | Chapter 05/Chap05_Example5.47.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | Chapter 05/Chap05_Example5.47.py | bpbpublications/Programming-Techniques-using-Python | 49b785f37e95a3aad1d36cef51e219ac56e5e9f0 | [
"MIT"
] | null | null | null | #games module
from Football.goalkeeper import name_goalkeeper
name_goalkeeper()
| 20.75 | 48 | 0.831325 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.168675 |
1773d93609383bcbb4fab691a8762940ea340e8e | 1,470 | py | Python | pset6/dna/dna.py | vipsum/cs50 | b3aa05ae470faea657343644a4073814825ceb83 | [
"MIT"
] | null | null | null | pset6/dna/dna.py | vipsum/cs50 | b3aa05ae470faea657343644a4073814825ceb83 | [
"MIT"
] | null | null | null | pset6/dna/dna.py | vipsum/cs50 | b3aa05ae470faea657343644a4073814825ceb83 | [
"MIT"
] | null | null | null | import csv
import sys
# error checking
if len(sys.argv) != 3:
print("ERROR. Usage: Usage: python dna.py data.csv sequence.txt")
sys.exit(1)
#opening csv file and sequence texts
csvFile = open(sys.argv[1])
DNAsequence = open(sys.argv[2]).read()
# reading csv file onto a dictionary
csvReader = csv.DictReader(csvF... | 34.186047 | 94 | 0.687075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 471 | 0.319973 |
1777e634f97948573907da1787803d38c27f6c8f | 311 | py | Python | script_utils/read_file.py | img-caption-mania/img_caption_dl_textAnalytic | 444385d928687673b5286ebb0a9b598de019916f | [
"Apache-2.0"
] | null | null | null | script_utils/read_file.py | img-caption-mania/img_caption_dl_textAnalytic | 444385d928687673b5286ebb0a9b598de019916f | [
"Apache-2.0"
] | null | null | null | script_utils/read_file.py | img-caption-mania/img_caption_dl_textAnalytic | 444385d928687673b5286ebb0a9b598de019916f | [
"Apache-2.0"
] | 2 | 2020-06-30T20:53:09.000Z | 2021-09-30T10:29:45.000Z | import os, sys, re, natsort
ls = [this for this in os.listdir(os.getcwd() + '/' + str(sys.argv[1]))]
# ls = ls.sort(key=lambda f: int(re.sub('\D', '', f)))
ls = natsort.natsorted(ls,reverse=False)
with open(os.getcwd() + '/' + str(sys.argv[2]), 'w') as f:
for item in ls:
f.write("%s\n" % item)
| 25.916667 | 72 | 0.569132 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.221865 |
177931d9295fee1cf93668dbfec3ca5bb4baf4e5 | 1,281 | py | Python | utils.py | sc2h6o/DT | d1cde39c778d827efeb89c1b1d4d54d13214b51f | [
"MIT"
] | null | null | null | utils.py | sc2h6o/DT | d1cde39c778d827efeb89c1b1d4d54d13214b51f | [
"MIT"
] | null | null | null | utils.py | sc2h6o/DT | d1cde39c778d827efeb89c1b1d4d54d13214b51f | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import random
def int_(x):
if x==int(x):
return int(x)
else:
return int(x+1)
def rdint(x):
return int(round(x))
def IoU(box1, box2):
x1 = max(box1[0], box2[0])
y1 = max(box1[1], box2[1])
x2 = min(box1[0]+box1[2], box2[0]+box2[2])
y2 = min(box1[1]+box1[3], box2[1]+box2[3])
i... | 20.333333 | 72 | 0.54879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
177a3ca237d5d4bf472566aa5ce8d9bf5f80f77a | 31 | py | Python | SSM/evaluations/__init__.py | taufikxu/FD-ScoreMatching | 9df0789bb98bb798b3de57072f63ee4b2f19947f | [
"MIT"
] | 12 | 2020-05-23T10:02:12.000Z | 2021-03-25T19:54:00.000Z | SSM/evaluations/__init__.py | taufikxu/FD-ScoreMatching | 9df0789bb98bb798b3de57072f63ee4b2f19947f | [
"MIT"
] | 6 | 2021-03-19T15:30:28.000Z | 2022-03-12T00:51:16.000Z | SSM/evaluations/__init__.py | taufikxu/FD-ScoreMatching | 9df0789bb98bb798b3de57072f63ee4b2f19947f | [
"MIT"
] | 4 | 2020-11-04T03:52:45.000Z | 2021-12-28T16:07:08.000Z | __all__ = ['ais', 'fid', 'hmc'] | 31 | 31 | 0.516129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.483871 |
177b2b2fc328442186cfa83ce8437c5a552fcc24 | 1,651 | py | Python | models/conv_lstm.py | i1idan/schizophrenia-diagnosis-eeg-signals | 50e51c16c6df0a61b5e62223c404039d659c9d48 | [
"MIT"
] | 5 | 2021-12-24T18:20:16.000Z | 2022-01-27T19:45:28.000Z | models/conv_lstm.py | i1idan/schizophrenia-diagnosis-eeg-signals | 50e51c16c6df0a61b5e62223c404039d659c9d48 | [
"MIT"
] | null | null | null | models/conv_lstm.py | i1idan/schizophrenia-diagnosis-eeg-signals | 50e51c16c6df0a61b5e62223c404039d659c9d48 | [
"MIT"
] | 1 | 2021-12-24T18:19:23.000Z | 2021-12-24T18:19:23.000Z | from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import LSTM, Conv1D, GRU
from tensorflow.keras.layers import TimeDistributed
from tensorflow.keras.layers import M... | 39.309524 | 89 | 0.643852 | 1,190 | 0.720775 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.048455 |
177c08e0f1aa8faf34025ae8c1b40c9f8d1f633f | 2,112 | py | Python | ST_DM/KDD2021-MSTPAC/code/MST-PAC/frame/core/gpu_predictor.py | zhangyimi/Research | 866f91d9774a38d205d6e9a3b1ee6293748261b3 | [
"Apache-2.0"
] | 1,319 | 2020-02-14T10:42:07.000Z | 2022-03-31T15:42:18.000Z | ST_DM/KDD2021-MSTPAC/code/MST-PAC/frame/core/gpu_predictor.py | green9989/Research | 94519a72e7936c77f62a31709634b72c09aabf74 | [
"Apache-2.0"
] | 192 | 2020-02-14T02:53:34.000Z | 2022-03-31T02:25:48.000Z | ST_DM/KDD2021-MSTPAC/code/MST-PAC/frame/core/gpu_predictor.py | green9989/Research | 94519a72e7936c77f62a31709634b72c09aabf74 | [
"Apache-2.0"
] | 720 | 2020-02-14T02:12:38.000Z | 2022-03-31T12:21:15.000Z | #############################################################################
#
# Copyright (c) 2019 Baidu.com, Inc. All Rights Reserved
#
############################################################################
"""
Specify the brief gpu_predictor.py
Author: map(wushilei@baidu.com)
Date: 2019/07/21 20:09:58... | 32 | 85 | 0.650095 | 1,020 | 0.482955 | 0 | 0 | 0 | 0 | 0 | 0 | 913 | 0.432292 |
177e76b8a5ad62be0cc716aa96929143804c2c31 | 77 | py | Python | src/fdk_organization_bff/sparql/__init__.py | Informasjonsforvaltning/organization-page-bffe | 473dc9606649f864618f4f8bfc4a6a2a035f06d7 | [
"Apache-2.0"
] | null | null | null | src/fdk_organization_bff/sparql/__init__.py | Informasjonsforvaltning/organization-page-bffe | 473dc9606649f864618f4f8bfc4a6a2a035f06d7 | [
"Apache-2.0"
] | 47 | 2020-05-14T07:54:48.000Z | 2022-03-29T22:17:08.000Z | src/fdk_organization_bff/sparql/__init__.py | Informasjonsforvaltning/organization-page-bffe | 473dc9606649f864618f4f8bfc4a6a2a035f06d7 | [
"Apache-2.0"
] | null | null | null | """SPARQL package.
Modules:
dataset_queries
dataservice_queries
"""
| 11 | 23 | 0.701299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.987013 |
177e8c1d5af7739ef2b33bcff39f04682a94721f | 2,368 | py | Python | Python/CoviDetect/covid_detect/sub_app/views.py | Idhant-6/HAcktoberfest-2021-With-Python | ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1 | [
"MIT"
] | 14 | 2021-10-01T16:53:27.000Z | 2021-10-17T13:15:44.000Z | Python/CoviDetect/covid_detect/sub_app/views.py | Idhant-6/HAcktoberfest-2021-With-Python | ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1 | [
"MIT"
] | 37 | 2021-10-01T17:14:52.000Z | 2021-10-21T17:26:14.000Z | Python/CoviDetect/covid_detect/sub_app/views.py | Idhant-6/Hacktoberfest-2021 | ae6f8b5aadeca5a7329fe8e8d7de3f5069e687a1 | [
"MIT"
] | 38 | 2021-10-01T16:59:16.000Z | 2021-10-30T16:05:31.000Z | from django.http import request
from django.shortcuts import render,HttpResponse
import cv2
import numpy as np
import base64
import joblib
from numpy.core.defchararray import join
import sklearn
import pywt
def w2d(img, mode='haar', level=1):
imArray = img
#Datatype conversions
#convert to grayscale
... | 27.858824 | 101 | 0.669341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.180743 |
17801b23c209f52e4859df74018bcf887604f24c | 5,060 | py | Python | tube_dl/formats.py | hahv/tube_dl | 4641c48d74c1881ddd6785784a3884bdea2ca674 | [
"MIT"
] | 17 | 2020-12-04T16:37:22.000Z | 2022-02-26T10:19:02.000Z | tube_dl/formats.py | hahv/tube_dl | 4641c48d74c1881ddd6785784a3884bdea2ca674 | [
"MIT"
] | 11 | 2020-12-13T01:41:33.000Z | 2022-02-19T12:58:50.000Z | tube_dl/formats.py | hahv/tube_dl | 4641c48d74c1881ddd6785784a3884bdea2ca674 | [
"MIT"
] | 10 | 2020-12-26T04:47:18.000Z | 2022-02-10T09:49:19.000Z | import string
import os
import requests
from tube_dl.extras import Output
headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'referer': 'https: //youtube.com'}
class Format:
def __init__(self, category, description, t... | 37.481481 | 254 | 0.562055 | 4,799 | 0.948419 | 0 | 0 | 0 | 0 | 0 | 0 | 1,336 | 0.264032 |
17810377c3837f4b8580799808c6d976e9b3f30b | 619 | py | Python | hopperpw/hopperpw/urls.py | teddywest32/hopper.pw | ff80ded3d34a5f33a5770d5e69405a66ff649a62 | [
"BSD-3-Clause"
] | 81 | 2015-01-03T20:35:52.000Z | 2021-01-05T22:33:15.000Z | hopperpw/hopperpw/urls.py | teddywest32/hopper.pw | ff80ded3d34a5f33a5770d5e69405a66ff649a62 | [
"BSD-3-Clause"
] | 9 | 2015-02-04T15:14:12.000Z | 2021-09-19T22:49:27.000Z | hopperpw/hopperpw/urls.py | teddywest32/hopper.pw | ff80ded3d34a5f33a5770d5e69405a66ff649a62 | [
"BSD-3-Clause"
] | 34 | 2015-01-01T06:19:23.000Z | 2021-11-23T11:35:26.000Z | # coding=utf-8
from django.conf import settings
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'',
url(r'^allauth/', include('allauth.urls')),
url(r'^accounts/', include('accounts.... | 28.136364 | 67 | 0.701131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.17609 |
1781e7376d613c7a6c0f2a03c05f305b2a11aef7 | 372 | py | Python | Utilidades/Constantes.py | SergioCMDev/Busines-Inteligence-applied-to-tourism | 61834a46fce22453e94b7bbdf8d4ecdcf128285a | [
"Apache-2.0"
] | null | null | null | Utilidades/Constantes.py | SergioCMDev/Busines-Inteligence-applied-to-tourism | 61834a46fce22453e94b7bbdf8d4ecdcf128285a | [
"Apache-2.0"
] | null | null | null | Utilidades/Constantes.py | SergioCMDev/Busines-Inteligence-applied-to-tourism | 61834a46fce22453e94b7bbdf8d4ecdcf128285a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 27 19:10:03 2017
@author: Sergio Cristauro Manzano
"""
class Constantes:
Meses = ['Enero', 'Febrero', 'Marzo', 'Abril', 'Mayo', 'Junio','Julio','Agosto','Septiembre','Octubre','Noviembre','Diciembre']
DB_Name = 'DatabaseTFG'
IP_BD = '127.0.0.1'
UsuarioBD =... | 28.615385 | 131 | 0.642473 | 269 | 0.723118 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.623656 |
17829f70617771fbf2d26fae550ff76307f210c4 | 1,520 | py | Python | tests/test_jwt_vc.py | BasileiosKal/py-verifier | 6614bdc515f823245762c0250de429a27c39e203 | [
"MIT"
] | null | null | null | tests/test_jwt_vc.py | BasileiosKal/py-verifier | 6614bdc515f823245762c0250de429a27c39e203 | [
"MIT"
] | null | null | null | tests/test_jwt_vc.py | BasileiosKal/py-verifier | 6614bdc515f823245762c0250de429a27c39e203 | [
"MIT"
] | 2 | 2022-01-17T11:08:27.000Z | 2022-01-28T09:50:10.000Z |
import pytest
import requests
import json
from issuer import Issuer
class TestJWT:
def test_valid_authorization_get(self):
token = Issuer().issue_valid_vc()
headers = {'Authorization':'Bearer ' + token, 'Accept': 'application/json'}
response = requests.get("http://localhost:9000/secure... | 40 | 119 | 0.657237 | 1,447 | 0.951974 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.252632 |
1782c1e0fd348b9a66a92236ad156329c06af117 | 695 | py | Python | exercicios/ex041.py | LucasLima337/CEV_Python_Exercicios | 7959fd2977a26ffca6a9adb13067d4727dc433fe | [
"MIT"
] | null | null | null | exercicios/ex041.py | LucasLima337/CEV_Python_Exercicios | 7959fd2977a26ffca6a9adb13067d4727dc433fe | [
"MIT"
] | null | null | null | exercicios/ex041.py | LucasLima337/CEV_Python_Exercicios | 7959fd2977a26ffca6a9adb13067d4727dc433fe | [
"MIT"
] | null | null | null | # Classificando Atletas
from datetime import date
from time import sleep
n = str(input('\033[1;30mDigite o seu nome completo: ')).strip().title()
a = int(input('Digite o seu ano de nascimento: '))
anoatual = date.today().year
i = anoatual - a
print('')
sleep(1.75)
print('ANALISANDO...')
sleep(2)
print('')
print('=-=' *... | 25.740741 | 72 | 0.638849 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 0.474138 |
178374b80192e344de3181d10c48f542eee0cc58 | 1,828 | py | Python | export_name_list.py | brandyn-gilbert/DAT-281-CAPSTONE | d86dd62eab164e6845dee63954cacc0324a449bc | [
"MIT"
] | null | null | null | export_name_list.py | brandyn-gilbert/DAT-281-CAPSTONE | d86dd62eab164e6845dee63954cacc0324a449bc | [
"MIT"
] | null | null | null | export_name_list.py | brandyn-gilbert/DAT-281-CAPSTONE | d86dd62eab164e6845dee63954cacc0324a449bc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 12, 2021
Developed for UIF to more easily handle the growing number of alumni they have,
and to track interactions with said alumni.
Final Project for CCAC DAT-281
@author: BKG
"""
import os
import sqlite3
from sqlite3 import Error
import pandas as pd
def main(locat... | 24.702703 | 83 | 0.609409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,198 | 0.655361 |
1786459a46918397c8fdf54d4d007c6b15470cab | 2,537 | py | Python | base_app/treasurehunt/models.py | aadityajo/ecell-oth-django | 8006cb0793bfdf084b78df5514852665adba5588 | [
"MIT"
] | 1 | 2021-07-07T19:44:49.000Z | 2021-07-07T19:44:49.000Z | base_app/treasurehunt/models.py | aadityajo/ecell-oth-django | 8006cb0793bfdf084b78df5514852665adba5588 | [
"MIT"
] | null | null | null | base_app/treasurehunt/models.py | aadityajo/ecell-oth-django | 8006cb0793bfdf084b78df5514852665adba5588 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser
from django.contrib.auth.models import PermissionsMixin
from django.contrib.auth.models import BaseUserManager
from django import forms
from django.core import validators
from datetime import date
# Create your models here.
class Us... | 28.505618 | 71 | 0.698069 | 2,186 | 0.861648 | 0 | 0 | 0 | 0 | 0 | 0 | 518 | 0.204178 |
178891f94229c492f6f9626a23fde3974ba0c8f5 | 2,071 | py | Python | old/Graph.py | csdevto/tradingbot | b024236f0d2801380e7f86aa1660c44060728eb1 | [
"MIT"
] | null | null | null | old/Graph.py | csdevto/tradingbot | b024236f0d2801380e7f86aa1660c44060728eb1 | [
"MIT"
] | null | null | null | old/Graph.py | csdevto/tradingbot | b024236f0d2801380e7f86aa1660c44060728eb1 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#Data Source
import yfinance as yf
import time, datetime, math
from datetime import datetime
import sqlite3
#Interval required 5 minutes
con = sqlite3.connect("DB/stocks.db")
#con.row_factory = sqlite3.Row
stock = 'UBER'
data = pd.read_sql_query("... | 31.861538 | 172 | 0.652342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,083 | 0.522936 |
1788e3eb4a66dc8651ec9cedf05fde603a74872c | 107 | py | Python | enthought/block_canvas/class_tools/search_package.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/block_canvas/class_tools/search_package.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/block_canvas/class_tools/search_package.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from __future__ import absolute_import
from blockcanvas.class_tools.search_package import *
| 26.75 | 52 | 0.859813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.130841 |
178b7dd958ef0de71b66b15ae19e8ed148d5bb53 | 216 | py | Python | meridian/acupoints/yuji24.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | 5 | 2015-12-14T15:14:23.000Z | 2022-02-09T10:15:33.000Z | meridian/acupoints/yuji24.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | null | null | null | meridian/acupoints/yuji24.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | 3 | 2015-11-27T05:23:49.000Z | 2020-11-28T09:01:56.000Z | #!/usr/bin/python
#coding=utf-8
'''
@author: sheng
@license:
'''
SPELL=u'yújì'
CN=u'鱼际'
NAME=u'yuji24'
CHANNEL='lung'
CHANNEL_FULLNAME='LungChannelofHand-Taiyin'
SEQ='LU10'
if __name__ == '__main__':
pass
| 10.285714 | 43 | 0.671296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.621622 |
178b8f7b8817c326e1125ab56cb91128e6dfcebb | 6,044 | py | Python | stable_baselines_model_based_rl/sampler/gym_sampler.py | micheltokic/stable_baselines_model_based_rl | 75bac906aeba69072878ceb15d9be459b1f436c3 | [
"Apache-2.0"
] | 1 | 2022-01-08T17:08:13.000Z | 2022-01-08T17:08:13.000Z | stable_baselines_model_based_rl/sampler/gym_sampler.py | micheltokic/stable_baselines_model_based_rl | 75bac906aeba69072878ceb15d9be459b1f436c3 | [
"Apache-2.0"
] | 5 | 2021-09-15T18:14:48.000Z | 2021-09-19T16:17:51.000Z | stable_baselines_model_based_rl/sampler/gym_sampler.py | micheltokic/stable_baselines_model_based_rl | 75bac906aeba69072878ceb15d9be459b1f436c3 | [
"Apache-2.0"
] | null | null | null | import csv
import datetime
import os
import gym
from gym.spaces import space
from gym.spaces.box import Box
from gym.spaces.discrete import Discrete
from gym.spaces.multi_discrete import MultiDiscrete
from definitions import ROOT_DIR
from stable_baselines_model_based_rl.utils.configuration import Configuration
from s... | 43.797101 | 99 | 0.695069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,081 | 0.344308 |
178e643cf3d9baf1cd9e7a3ac1ac162854128b03 | 3,590 | py | Python | sktime/transformations/panel/tests/test_shapelet_transform.py | Rubiel1/sktime | 2fd2290fb438224f11ddf202148917eaf9b73a87 | [
"BSD-3-Clause"
] | 1 | 2021-12-22T02:45:39.000Z | 2021-12-22T02:45:39.000Z | sktime/transformations/panel/tests/test_shapelet_transform.py | Rubiel1/sktime | 2fd2290fb438224f11ddf202148917eaf9b73a87 | [
"BSD-3-Clause"
] | null | null | null | sktime/transformations/panel/tests/test_shapelet_transform.py | Rubiel1/sktime | 2fd2290fb438224f11ddf202148917eaf9b73a87 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""ShapeletTransform test code."""
import numpy as np
from numpy import testing
from sktime.datasets import load_basic_motions, load_unit_test
from sktime.transformations.panel.shapelet_transform import RandomShapeletTransform
def test_st_on_unit_test():
"""Test of ShapeletTransform on un... | 28.267717 | 83 | 0.593593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.097772 |
178f229ede5ac1bd538446aa4396921d04e3540f | 2,830 | py | Python | geom.py | suke-blog/ogr2osm | 294a9f3205ad976f7884eeb0abc7bcb4ef5412df | [
"MIT"
] | null | null | null | geom.py | suke-blog/ogr2osm | 294a9f3205ad976f7884eeb0abc7bcb4ef5412df | [
"MIT"
] | null | null | null | geom.py | suke-blog/ogr2osm | 294a9f3205ad976f7884eeb0abc7bcb4ef5412df | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2012-2013 Paul Norman
# <penorman@mac.com>
# Released under the MIT license: http://opensource.org/licenses/mit-license.php
# Classes
class Geometry(object):
elementIdCounter = 0
elementIdCounterIncr = -1
geometries = []
def __init__(self):
#self.id = g... | 30.106383 | 80 | 0.613428 | 2,489 | 0.879505 | 0 | 0 | 0 | 0 | 0 | 0 | 341 | 0.120495 |
178f58c78858a2df3826b89f9dc2650177ddffc7 | 10,302 | py | Python | appCore/apps/replica/api/views/pulse.py | jadedgamer/alifewellplayed.com | b7b3dee8d3b9526c7cfe77078570a29394ef7e76 | [
"MIT"
] | 4 | 2017-04-22T11:03:01.000Z | 2018-01-16T22:28:15.000Z | appCore/apps/replica/api/views/pulse.py | alifewellplayed/alifewellplayed.com | b7b3dee8d3b9526c7cfe77078570a29394ef7e76 | [
"MIT"
] | 10 | 2017-04-06T19:54:42.000Z | 2017-11-07T06:53:10.000Z | appCore/apps/replica/api/views/pulse.py | alifewellplayed/alifewellplayed.com | b7b3dee8d3b9526c7cfe77078570a29394ef7e76 | [
"MIT"
] | 1 | 2017-12-14T12:49:40.000Z | 2017-12-14T12:49:40.000Z | import hashlib
from rest_framework import generics, permissions, mixins, status
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import *
from rest_framework.views import APIView
from rest_framework.response import Response
from django.shortcuts import render_to_response, rend... | 35.770833 | 96 | 0.66259 | 9,418 | 0.914191 | 0 | 0 | 0 | 0 | 0 | 0 | 687 | 0.066686 |
179047197bf91d3e14c6131b31ca97cf1748cbbb | 1,238 | py | Python | palaverapi/decorators.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 3 | 2016-07-03T21:19:18.000Z | 2021-07-10T18:32:16.000Z | palaverapi/decorators.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 66 | 2015-03-27T21:52:11.000Z | 2021-09-06T17:56:59.000Z | palaverapi/decorators.py | cocodelabs/api.palaverapp.com | cb517a2cd1dea12fadf4f72147fecf0105cbd717 | [
"BSD-3-Clause"
] | 1 | 2021-07-28T19:45:31.000Z | 2021-07-28T19:45:31.000Z | import json
from functools import wraps
from typing import Callable
from urllib.parse import parse_qsl
from rivr.http import Request, Response
from palaverapi.responses import ProblemResponse
def requires_body(func: Callable[..., Response]):
@wraps(func)
def wrapper(self, request: Request, *args, **kwargs) ... | 34.388889 | 73 | 0.588853 | 0 | 0 | 0 | 0 | 967 | 0.781099 | 0 | 0 | 116 | 0.0937 |
1790c8c518d20fe2e7697039e44e0d23b4a62c91 | 9,489 | py | Python | cli/medperf/utils.py | johnugeorge/medperf | 5bc3f643064df14e9476bd4d4c1a4c0cce5337d5 | [
"Apache-2.0"
] | 1 | 2021-09-24T18:09:53.000Z | 2021-09-24T18:09:53.000Z | cli/medperf/utils.py | johnugeorge/medperf | 5bc3f643064df14e9476bd4d4c1a4c0cce5337d5 | [
"Apache-2.0"
] | 2 | 2021-09-27T16:14:04.000Z | 2021-11-03T14:24:54.000Z | cli/medperf/utils.py | johnugeorge/medperf | 5bc3f643064df14e9476bd4d4c1a4c0cce5337d5 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
from pexpect import spawn
import logging
from typing import List, Tuple
from datetime import datetime
import hashlib
import os
from shutil import rmtree
import tarfile
import yaml
from pathlib import Path
from colorama import Fore, Style
import re
import medperf.config as config
from... | 30.316294 | 89 | 0.644957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,540 | 0.373064 |
1791323b17a576d78ae9d6ff260342ba69a97bc9 | 919 | py | Python | tests/test_half_wildcard.py | oqwa/gwh | 9399a9b0fd5815e81d68a4d52215c273f9c0d49b | [
"MIT"
] | null | null | null | tests/test_half_wildcard.py | oqwa/gwh | 9399a9b0fd5815e81d68a4d52215c273f9c0d49b | [
"MIT"
] | null | null | null | tests/test_half_wildcard.py | oqwa/gwh | 9399a9b0fd5815e81d68a4d52215c273f9c0d49b | [
"MIT"
] | null | null | null | from gwh import *
from tests.utils import *
app = GitWebhook()
app.add_handler(lambda: None, repository=KNOWN_REPO)
app.add_handler(lambda: None, type=KNOWN_TYPE)
def test_bitbucket():
check_bitbucket_webhook(app, KNOWN_TYPE, KNOWN_REPO, "master", hit_expected=True)
check_bitbucket_webhook(app, UNKNOWN_T... | 43.761905 | 90 | 0.771491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.069641 |
17935aaebc6842fbcfb1d8f850ae573d75c68bf6 | 1,873 | py | Python | analytics_pipeline-master/log_generator.py | danielvdao/etl_ideas | 18062c92e6441eae5b316e9cc8f0f2d085636a42 | [
"MIT"
] | null | null | null | analytics_pipeline-master/log_generator.py | danielvdao/etl_ideas | 18062c92e6441eae5b316e9cc8f0f2d085636a42 | [
"MIT"
] | 1 | 2017-10-17T02:58:33.000Z | 2017-10-17T02:58:33.000Z | analytics_pipeline-master/log_generator.py | danielvdao/etl_ideas | 18062c92e6441eae5b316e9cc8f0f2d085636a42 | [
"MIT"
] | null | null | null | from faker import Faker
from datetime import datetime
import random
import time
LINE = """\
{remote_addr} - - [{time_local} +0000] "{request_type} {request_path} HTTP/1.1" {status} {body_bytes_sent} "{http_referer}" "{http_user_agent}"\
"""
LOG_FILE_A = "log_a.txt"
LOG_FILE_B = "log_b.txt"
LOG_MAX = 100
def generate... | 24.973333 | 144 | 0.639616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 236 | 0.126001 |
17952b6df72029d76f72e43b7c53730bd3ee7420 | 150 | py | Python | vetores_matrizes/exemplo_bb.py | andersonmarques/programacao_2_ufra | 94a22559eed817a429309d8da338431416608c0c | [
"MIT"
] | null | null | null | vetores_matrizes/exemplo_bb.py | andersonmarques/programacao_2_ufra | 94a22559eed817a429309d8da338431416608c0c | [
"MIT"
] | null | null | null | vetores_matrizes/exemplo_bb.py | andersonmarques/programacao_2_ufra | 94a22559eed817a429309d8da338431416608c0c | [
"MIT"
] | null | null | null | import numpy as np
valor_aplicado = np.array([5000, 6000, 7000, 8000])
juros = np.array([1, 2, 3, 4])
saida = valor_aplicado * juros
print(saida)
| 15 | 51 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17952da6143d5a1227f4338f74ceef2025244a03 | 260 | py | Python | pyamg/classical/__init__.py | rsmedleystevenson/pyamg | 72c3b43e0d14223e3849cb7e5f0bc8817b342373 | [
"MIT"
] | null | null | null | pyamg/classical/__init__.py | rsmedleystevenson/pyamg | 72c3b43e0d14223e3849cb7e5f0bc8817b342373 | [
"MIT"
] | null | null | null | pyamg/classical/__init__.py | rsmedleystevenson/pyamg | 72c3b43e0d14223e3849cb7e5f0bc8817b342373 | [
"MIT"
] | null | null | null | """Classical AMG"""
from __future__ import absolute_import
from .classical import *
from .split import *
from .interpolate import *
from .cr import *
__all__ = [s for s in dir() if not s.startswith('_')]
from numpy.testing import Tester
test = Tester().test
| 21.666667 | 53 | 0.730769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.084615 |
17957d92994d6b6b24057eeb1c8fb73bd1d0a786 | 2,027 | py | Python | scripts/visualization/style.py | bo1929/basty | 3ef84578e0154509346fdc2c0c56261448d78276 | [
"MIT"
] | 5 | 2021-12-10T17:43:52.000Z | 2022-03-01T22:19:36.000Z | scripts/visualization/style.py | bo1929/basty | 3ef84578e0154509346fdc2c0c56261448d78276 | [
"MIT"
] | null | null | null | scripts/visualization/style.py | bo1929/basty | 3ef84578e0154509346fdc2c0c56261448d78276 | [
"MIT"
] | null | null | null | MAX_LIMIT = 9999
class StyleEmbedding:
colorscheme = "tableau20"
filled = True
sizeDefault = 7
sizeMin = 5
sizeMax = 25
opacityDefault = 0.05
opacityMin = 0.05
opacityMax = 0.5
tickMinStep = 5
def get_embedding_style():
return {
"config": {
... | 29.808824 | 78 | 0.391712 | 2,004 | 0.988653 | 0 | 0 | 0 | 0 | 0 | 0 | 609 | 0.300444 |
179a63e2713ef678248c5a0480244a33d8023a8f | 1,955 | py | Python | scripts/parse_aggregated_responses.py | cagnolone/openmic-2018 | 154dc425a4fac7ba45fb143ef75fa21189fc4d1c | [
"MIT"
] | 56 | 2018-08-27T15:48:37.000Z | 2021-12-25T11:01:23.000Z | scripts/parse_aggregated_responses.py | cagnolone/openmic-2018 | 154dc425a4fac7ba45fb143ef75fa21189fc4d1c | [
"MIT"
] | 37 | 2018-08-16T17:00:21.000Z | 2022-02-09T23:55:36.000Z | scripts/parse_aggregated_responses.py | cagnolone/openmic-2018 | 154dc425a4fac7ba45fb143ef75fa21189fc4d1c | [
"MIT"
] | 7 | 2018-10-09T14:48:01.000Z | 2020-06-06T12:03:15.000Z | #!/usr/bin/env python
# coding: utf8
'''Script to parse aggregated annotation responses into a CSV file of labels.
Example
-------
$ ./scripts/parse_aggregated_responses.py \
"path/to/dir/*.csv" \
openmic-2018-aggregated-labels.csv
'''
from __future__ import print_function
import argparse
import glob
import ... | 29.621212 | 88 | 0.703325 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 602 | 0.307928 |
179adee8737327e1461212148f441c448d335da8 | 5,303 | py | Python | tests/test_looseserver/client/test_abstract_client.py | KillAChicken/loose-server | 082402f1fec94faea20343142b0c306dc5f86026 | [
"MIT"
] | 3 | 2019-04-21T13:10:34.000Z | 2019-10-08T05:20:04.000Z | tests/test_looseserver/client/test_abstract_client.py | KillAChicken/loose-server | 082402f1fec94faea20343142b0c306dc5f86026 | [
"MIT"
] | null | null | null | tests/test_looseserver/client/test_abstract_client.py | KillAChicken/loose-server | 082402f1fec94faea20343142b0c306dc5f86026 | [
"MIT"
] | null | null | null | """Test cases for abstract looseserver client."""
import uuid
from urllib.parse import urljoin
from looseserver.client.abstract import AbstractClient
def test_create_rule(client_rule_factory, client_response_factory, registered_rule):
"""Check request data that client uses to create a rule.
1. Create a sub... | 36.321918 | 100 | 0.686027 | 1,891 | 0.356591 | 0 | 0 | 0 | 0 | 0 | 0 | 1,693 | 0.319253 |
179ae6f54ba09f051bfa483edda5d5eea6d22097 | 5,683 | py | Python | mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py | giuseppe-zappia/sagemaker-custom-project-templates | a160cf250dcabf8a9a14682e28d0a39df18e3a5c | [
"MIT-0"
] | 22 | 2021-08-24T13:43:55.000Z | 2022-03-25T06:18:19.000Z | mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py | giuseppe-zappia/sagemaker-custom-project-templates | a160cf250dcabf8a9a14682e28d0a39df18e3a5c | [
"MIT-0"
] | 3 | 2021-09-09T00:40:56.000Z | 2022-01-26T10:53:30.000Z | mlops-template-gitlab/lambda_functions/lambda-seedcode-checkin-gitlab/tests/functional/api/test_merge_requests.py | giuseppe-zappia/sagemaker-custom-project-templates | a160cf250dcabf8a9a14682e28d0a39df18e3a5c | [
"MIT-0"
] | 15 | 2021-08-19T23:53:24.000Z | 2022-03-28T22:26:04.000Z | import time
import pytest
import gitlab
import gitlab.v4.objects
def test_merge_requests(project):
project.files.create(
{
"file_path": "README.rst",
"branch": "master",
"content": "Initial content",
"commit_message": "Initial commit",
}
)
... | 28.70202 | 86 | 0.682562 | 0 | 0 | 0 | 0 | 313 | 0.055077 | 0 | 0 | 1,505 | 0.264825 |
179d043db725bce8f3b6948c83cd4e08552dd537 | 687 | py | Python | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2022-01-08T12:30:44.000Z | 2022-01-08T12:30:44.000Z | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/ndarray_shape_manipulation.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2021-04-26T22:41:56.000Z | 2021-04-26T22:41:56.000Z | import numpy as np
nd1 = np.array([[1, 2], [3, 4]])
# reshape
nd1.reshape(4)
nd1.reshape(2, 2)
nd1.reshape((2, 2))
nd1.reshape((2, 2), order="C")
nd1.reshape(4, order="C")
# resize
nd1.resize()
nd1.resize(4)
nd1.resize(2, 2)
nd1.resize((2, 2))
nd1.resize((2, 2), refcheck=True)
nd1.resize(4, refc... | 14.3125 | 34 | 0.576419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.11936 |
179d9ebc77da5b1737344a934257dda6f2f13fc3 | 3,128 | py | Python | survae/nn/layers/autoregressive/utils.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 262 | 2020-07-05T20:57:44.000Z | 2022-03-28T02:24:43.000Z | survae/nn/layers/autoregressive/utils.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 17 | 2020-08-15T05:43:34.000Z | 2022-01-31T12:24:21.000Z | survae/nn/layers/autoregressive/utils.py | alisiahkoohi/survae_flows | e1747b05524c7ab540a211ed360ab3e67bc3e96d | [
"MIT"
] | 35 | 2020-08-24T06:55:37.000Z | 2022-02-11T05:17:58.000Z | import torch
def mask_conv2d_spatial(mask_type, height, width):
"""
Creates a mask for Conv2d such that it becomes autoregressive in
the spatial dimensions.
Input:
mask_type: str
Either 'A' or 'B'. 'A' for first layer of network, 'B' for all others.
height: int
... | 34 | 108 | 0.611573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,990 | 0.636189 |
17a08dd6f2f3775ec7b362537d3a435fcbde0fb3 | 2,130 | py | Python | powerberry-app/src/services/config.py | Steckdoose4711/powerberry | 15c722ff66f0db5c00ddfb71ccc2c75d69b78d39 | [
"MIT"
] | null | null | null | powerberry-app/src/services/config.py | Steckdoose4711/powerberry | 15c722ff66f0db5c00ddfb71ccc2c75d69b78d39 | [
"MIT"
] | 20 | 2022-03-11T19:44:31.000Z | 2022-03-21T19:13:46.000Z | powerberry-app/src/services/config.py | Steckdoose4711/powerberry | 15c722ff66f0db5c00ddfb71ccc2c75d69b78d39 | [
"MIT"
] | null | null | null | import json
import os
import pathlib
import sys
from loguru import logger as log
class Config:
"""Retrieves configuration from environment variables or files or fails fast otherwise"""
def __init__(self):
self.keys = {}
# read configuration file first
self.from_env("CONFIG_PATH", ca... | 33.28125 | 93 | 0.622066 | 2,045 | 0.960094 | 0 | 0 | 0 | 0 | 0 | 0 | 564 | 0.264789 |
17a28a397f9005910dd939fda6263ae0e3d223e7 | 1,256 | py | Python | tests/unit/operator/test_operator_utils.py | jjmachan/bentoctl | 54ca1968a7197f658a7e9dc7ab0b46db1fc7439d | [
"Apache-2.0"
] | 19 | 2021-12-12T13:27:54.000Z | 2022-03-26T13:21:08.000Z | tests/unit/operator/test_operator_utils.py | jjmachan/bentoctl | 54ca1968a7197f658a7e9dc7ab0b46db1fc7439d | [
"Apache-2.0"
] | 22 | 2021-12-09T17:37:15.000Z | 2022-03-15T20:47:43.000Z | tests/unit/operator/test_operator_utils.py | jjmachan/bentoctl | 54ca1968a7197f658a7e9dc7ab0b46db1fc7439d | [
"Apache-2.0"
] | 7 | 2021-12-13T06:48:04.000Z | 2022-03-01T17:21:13.000Z | import os
from pathlib import Path
from types import SimpleNamespace
import pytest
import bentoctl.operator.utils as operator_utils
# import bentoctl.operator.utils.git
# from bentoctl.operator import utils as operator_utils
def test_get_bentoctl_home(tmp_path):
os.environ["BENTOCTL_HOME"] = str(tmp_path)
... | 27.911111 | 81 | 0.735669 | 339 | 0.269904 | 0 | 0 | 297 | 0.236465 | 0 | 0 | 213 | 0.169586 |
17a2dcce962acf6079243f734b05c4cedd810650 | 3,445 | py | Python | test/parser/test_tail_parser.py | BigDataBoutique/bogi | cc247df8d18ef00ebba7986a57fefbb2ad82a1e6 | [
"Apache-2.0"
] | null | null | null | test/parser/test_tail_parser.py | BigDataBoutique/bogi | cc247df8d18ef00ebba7986a57fefbb2ad82a1e6 | [
"Apache-2.0"
] | null | null | null | test/parser/test_tail_parser.py | BigDataBoutique/bogi | cc247df8d18ef00ebba7986a57fefbb2ad82a1e6 | [
"Apache-2.0"
] | null | null | null | import unittest
from test.utils import dedent
from bogi.parser.tail import TailParser
from bogi.parser.tail_transformer import MessageBody, ContentLine, InputFileRef, MultipartField, Header, ResponseHandler, ResponseReference
class TailParserTests(unittest.TestCase):
def test_content_lines(self):
body = ... | 31.898148 | 139 | 0.576488 | 3,215 | 0.933237 | 0 | 0 | 0 | 0 | 0 | 0 | 1,019 | 0.295791 |
17a30d472fcfbe0abfef5d81ffe2790797697496 | 3,830 | py | Python | openbox-tmux-pipe-menu.py | pawel-slowik/openbox-tmux-pipe-menu | cda64994a893c76ba1af1eb1de9fe72d1ec79c04 | [
"MIT"
] | null | null | null | openbox-tmux-pipe-menu.py | pawel-slowik/openbox-tmux-pipe-menu | cda64994a893c76ba1af1eb1de9fe72d1ec79c04 | [
"MIT"
] | null | null | null | openbox-tmux-pipe-menu.py | pawel-slowik/openbox-tmux-pipe-menu | cda64994a893c76ba1af1eb1de9fe72d1ec79c04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import subprocess
import re
import xml.etree.ElementTree as et
import datetime as dt
import pipes
import os
import configparser
import sys
from typing import Iterable, Optional, Dict
class TmuxError(Exception):
pass
class TmuxCommandError(TmuxError):
pass
class TmuxParseError(TmuxE... | 27.956204 | 81 | 0.637859 | 158 | 0.041253 | 0 | 0 | 0 | 0 | 0 | 0 | 771 | 0.201305 |
17a347bd5164cd6a7614cc6077d50a8c68cb0c7e | 1,109 | py | Python | test_lib.py | DrakenWan/deeplearninglibrary | 0fb7d76f9220d1479c6ddadc2e6165590ab000eb | [
"Apache-2.0"
] | null | null | null | test_lib.py | DrakenWan/deeplearninglibrary | 0fb7d76f9220d1479c6ddadc2e6165590ab000eb | [
"Apache-2.0"
] | null | null | null | test_lib.py | DrakenWan/deeplearninglibrary | 0fb7d76f9220d1479c6ddadc2e6165590ab000eb | [
"Apache-2.0"
] | null | null | null | """
Tutorial reference: https://www.kdnuggets.com/2020/09/implementing-deep-learning-library-scratch-python.html
Original Library: https://github.com/parmeet/dll_numpy
Author: DrakenWan 2020
"""
import core as DL
import utilities
import numpy as np
if __name__ == "__main__":
batch_size ... | 39.607143 | 113 | 0.67899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 241 | 0.217313 |
17a5d125164fb471bd39e2c070263178e5c5d91d | 13,454 | py | Python | spyne/decorator.py | DXist/spyne | f185e44c0cf3c71c99471133a44c17f4a47ab46e | [
"BSD-3-Clause"
] | 1 | 2021-06-07T16:19:41.000Z | 2021-06-07T16:19:41.000Z | spyne/decorator.py | lemanyk/spyne | 12bea0be357ceebec1cf877270ce240424357c7b | [
"BSD-3-Clause"
] | null | null | null | spyne/decorator.py | lemanyk/spyne | 12bea0be357ceebec1cf877270ce240424357c7b | [
"BSD-3-Clause"
] | null | null | null |
#
# spyne - Copyright (C) Spyne contributors.
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This libra... | 41.143731 | 99 | 0.634235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,160 | 0.457856 |
bd587bc3d2baa172c3072e8e32527093a3a9f149 | 2,547 | py | Python | src/routes/dataNetwork.py | spaezsuarez/view-data-app | 6482b73eb39048e5dbdf133d4ccf29cc357dcb6f | [
"MIT"
] | 1 | 2021-05-28T17:01:17.000Z | 2021-05-28T17:01:17.000Z | src/routes/dataNetwork.py | spaezsuarez/view-data-app | 6482b73eb39048e5dbdf133d4ccf29cc357dcb6f | [
"MIT"
] | null | null | null | src/routes/dataNetwork.py | spaezsuarez/view-data-app | 6482b73eb39048e5dbdf133d4ccf29cc357dcb6f | [
"MIT"
] | null | null | null | from . import dataRoute
from flask import render_template, request
from utils import dataManagment
import dateutil
import datetime
@dataRoute.route('/head', methods=['POST'])
def create_head():
number = request.form['number']
df = dataManagment.data_frame_head(number)
return render_template('data.html', t... | 39.796875 | 82 | 0.725167 | 0 | 0 | 0 | 0 | 2,397 | 0.941107 | 0 | 0 | 400 | 0.157048 |
bd594ed7d37726ea78538d30996e4d5ae12daca1 | 144 | py | Python | blackjack/cmake/storage/file/__init__.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | 1 | 2017-05-26T00:18:26.000Z | 2017-05-26T00:18:26.000Z | blackjack/cmake/storage/file/__init__.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | null | null | null | blackjack/cmake/storage/file/__init__.py | grbd/GBD.Build.BlackJack | 3e8d027625b7528af3674a373fd9931e3feaaab4 | [
"Apache-2.0"
] | null | null | null | # File Storage related class's
from .CacheFile import CacheFile
from .ScriptBlock import ScriptBlock
from .ToolchainFile import ToolchainFile
| 24 | 40 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.205479 |
bd59fe6a6c4d96a34287a8a86a0f7f63819a3a16 | 1,177 | py | Python | python/phonenumbers/shortdata/region_MY.py | rodgar-nvkz/python-phonenumbers | 4c7c4892211dbc9bc328bc3356b03853eaf993dc | [
"Apache-2.0"
] | 2,424 | 2015-01-05T05:34:45.000Z | 2022-03-28T22:37:53.000Z | python/phonenumbers/shortdata/region_MY.py | rodgar-nvkz/python-phonenumbers | 4c7c4892211dbc9bc328bc3356b03853eaf993dc | [
"Apache-2.0"
] | 166 | 2015-01-30T23:59:18.000Z | 2022-03-14T21:08:42.000Z | python/phonenumbers/shortdata/region_MY.py | rodgar-nvkz/python-phonenumbers | 4c7c4892211dbc9bc328bc3356b03853eaf993dc | [
"Apache-2.0"
] | 345 | 2015-01-02T00:33:27.000Z | 2022-03-26T13:06:57.000Z | """Auto-generated file, do not edit by hand. MY metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_MY = PhoneMetadata(id='MY', country_code=None, international_prefix=None,
general_desc=PhoneNumberDesc(national_number_pattern='[1369]\\d{2,4}', possible_length=(3, 4,... | 98.083333 | 358 | 0.705183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 416 | 0.353441 |
bd5a208ee269d3bfedf85a940f895d881be68074 | 1,151 | py | Python | Chapter 4/05 - Real-life example - lazily evaluated attributes/lazy_class_attribute.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | Chapter 4/05 - Real-life example - lazily evaluated attributes/lazy_class_attribute.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | Chapter 4/05 - Real-life example - lazily evaluated attributes/lazy_class_attribute.py | moseskim/Expert-Python-Programming-Fourth-Edition | 5160f974deb2365597b7be9cc032f24bfa13471a | [
"MIT"
] | null | null | null | import OpenGL.GL as gl
from OpenGL.GL import shaders
class lazy_class_attribute(object):
def __init__(self, function):
self.fget = function
def __get__(self, obj, cls):
value = self.fget(obj or cls)
# note: 인스턴스가 아닌 클래스 객체에 저장한다.
# 클래스-레벨 또는 인스턴스-레벨 접근과 관계없다.
set... | 26.767442 | 77 | 0.592528 | 1,226 | 0.954086 | 0 | 0 | 280 | 0.217899 | 0 | 0 | 601 | 0.467704 |
bd5a5f01afeebbef48ab0545bb48413999a63520 | 6,134 | py | Python | main.py | Lulzx/gittools | b4a1a4d7169a10af10079a3903b9108843e97385 | [
"MIT"
] | 4 | 2020-10-22T03:58:56.000Z | 2021-10-29T20:45:49.000Z | main.py | Lulzx/gittools | b4a1a4d7169a10af10079a3903b9108843e97385 | [
"MIT"
] | null | null | null | main.py | Lulzx/gittools | b4a1a4d7169a10af10079a3903b9108843e97385 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import os
import sys
import time
from itertools import islice
from uuid import uuid4
import emojis
from github import Github
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
from telegram import InlineQueryResultArticle, ParseMode
from teleg... | 31.45641 | 104 | 0.630747 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,228 | 0.198802 |
bd5a9dc0a73172358dd3bd333a0ffa43e3db9416 | 440 | py | Python | app/app.py | tsmit58/flask-celery-microservice | b961b9b8fdffc11b7b8f7eb8883ec635aabdfb44 | [
"MIT"
] | 41 | 2021-03-10T15:35:19.000Z | 2022-03-03T20:04:52.000Z | app/app.py | tsmit58/flask-celery-microservice | b961b9b8fdffc11b7b8f7eb8883ec635aabdfb44 | [
"MIT"
] | 1 | 2021-08-09T13:22:21.000Z | 2021-08-10T08:36:39.000Z | app/app.py | tsmit58/flask-celery-microservice | b961b9b8fdffc11b7b8f7eb8883ec635aabdfb44 | [
"MIT"
] | 16 | 2021-03-28T23:36:22.000Z | 2022-03-31T01:55:00.000Z | from flask import Flask
from celery import Celery
import os
app = Flask(__name__)
app.config['CELERY_BROKER_URL'] = os.getenv("CELERY_BROKER_URL")
app.config['RESULT_BACKEND'] = os.getenv("CELERY_RESULT_BACKEND")
app.config['SECRET_KEY'] = os.getenv("SECRET_KEY")
celery = Celery(app.import_name,
backe... | 31.428571 | 65 | 0.725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.309091 |
bd5b5440ec10bb3d894d2f6fb7dcd6426ce92c37 | 4,132 | py | Python | SnakeGame.py | captainpolar/snakegame | 018638875309f0b17a6dbbd5c3ff4f536058b844 | [
"MIT"
] | 1 | 2021-03-29T17:15:09.000Z | 2021-03-29T17:15:09.000Z | SnakeGame.py | captainpolar/snakegame | 018638875309f0b17a6dbbd5c3ff4f536058b844 | [
"MIT"
] | null | null | null | SnakeGame.py | captainpolar/snakegame | 018638875309f0b17a6dbbd5c3ff4f536058b844 | [
"MIT"
] | null | null | null | import pygame
import random
pygame.init()
white = (255, 255, 255)
black = (0, 0, 0)
yellow = (255, 255, 102)
red = (250, 0, 0) # Other nice red color: 213, 50, 80
green = (152, 251, 152)
blue = (30, 144, 255) # other nice combo: 50, 151, 213
dis_width = 800
dis_height = 600
dis = pygame.display.set... | 29.304965 | 104 | 0.526864 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.123427 |
bd5c8afbbd833cee9c288bc0007055dc079f69d8 | 3,335 | py | Python | MpSA-TRIP/BarcodeGenomeLibMain.py | wiw/pyMPFA | a72aa196859031b2194fb51f204a1ab938193aaa | [
"Unlicense"
] | null | null | null | MpSA-TRIP/BarcodeGenomeLibMain.py | wiw/pyMPFA | a72aa196859031b2194fb51f204a1ab938193aaa | [
"Unlicense"
] | null | null | null | MpSA-TRIP/BarcodeGenomeLibMain.py | wiw/pyMPFA | a72aa196859031b2194fb51f204a1ab938193aaa | [
"Unlicense"
] | null | null | null | #C:\Python27\python.exe
#!/usr/bin/env python
# encoding: utf-8
import os
# import subprocess
import SupportFunc as supp
import ReadIndexesFunc as rind
import CollectBcMutFunc as colb
import WriteFunc as wrt
import param
import picks
from TripMain_0_2 import Pdump
def main():
supp.setup_logging()
for name in ... | 60.636364 | 261 | 0.661469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,420 | 0.425787 |
bd5ce6155a750a874aeaeebfe810ee41acfd3156 | 589 | py | Python | udb_py/udb_storage.py | akaterra/udb.py | 3c04fa788e4b2fc8356c1210b9d81004aa932c0b | [
"MIT"
] | 2 | 2020-01-04T12:04:58.000Z | 2020-02-15T16:32:12.000Z | udb_py/udb_storage.py | akaterra/udb.py | 3c04fa788e4b2fc8356c1210b9d81004aa932c0b | [
"MIT"
] | null | null | null | udb_py/udb_storage.py | akaterra/udb.py | 3c04fa788e4b2fc8356c1210b9d81004aa932c0b | [
"MIT"
] | null | null | null | class UdbStorage(object):
def is_available(self):
raise NotImplementedError
def is_capture_events(self):
return False
def drop(self):
raise NotImplementedError
def load(self):
raise NotImplementedError
def save(self, indexes, revision, data):
raise NotImpl... | 21.035714 | 45 | 0.650255 | 588 | 0.998302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd5d9ea17d4a9ae541c6e6916ed6741c75882ac1 | 12,036 | py | Python | polyart/_input.py | IsaacTFM/pygrr-polyart | 7a8219cd93b5691ddca89b4fb46a4af7bc1e3456 | [
"Apache-2.0"
] | 4 | 2021-11-21T18:35:54.000Z | 2021-12-14T02:02:37.000Z | polyart/_input.py | IsaacTFM/pygrr-polyart | 7a8219cd93b5691ddca89b4fb46a4af7bc1e3456 | [
"Apache-2.0"
] | 3 | 2021-11-21T18:37:56.000Z | 2021-11-21T19:15:21.000Z | polyart/_input.py | IsaacTFM/pygrr-polyart | 7a8219cd93b5691ddca89b4fb46a4af7bc1e3456 | [
"Apache-2.0"
] | 1 | 2021-11-21T18:39:52.000Z | 2021-11-21T18:39:52.000Z | """
This file handles the input of PolyArt.
"""
# if this is the origin file (not imported)
if __name__ == "__main__":
# print the documentation
print(__doc__)
# add sysmessages module location to path
from sys import path
path.append('..')
# run sysmessages
import common.sysmessages
# im... | 27.990698 | 149 | 0.534064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,837 | 0.401878 |
bd5f550b799363cf152de68256f97f876bf2f1f2 | 1,486 | py | Python | biodada/alphabets.py | simomarsili/biodada | 642fb440d8a66a0413deb69c8623ea3b61d41678 | [
"BSD-3-Clause"
] | null | null | null | biodada/alphabets.py | simomarsili/biodada | 642fb440d8a66a0413deb69c8623ea3b61d41678 | [
"BSD-3-Clause"
] | null | null | null | biodada/alphabets.py | simomarsili/biodada | 642fb440d8a66a0413deb69c8623ea3b61d41678 | [
"BSD-3-Clause"
] | null | null | null | """Alphabet-related methods."""
import logging
import numpy
ALPHABETS = {
'protein': '-ACDEFGHIKLMNPQRSTVWY',
'dna': '-ACGT',
'rna': '-ACGU',
'protein_u': '-ACDEFGHIKLMNPQRSTVWYBZX',
'dna_u': '-ACGTRYMKWSBDHVN',
'rna_u': '-ACGURYMKWSBDHVN',
}
logger = logging.getLogger(__name__)
def check_al... | 28.576923 | 78 | 0.647376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 0.275908 |
bd62a6bcee335bdbb5aaa3e5bf955b75d241b748 | 1,813 | py | Python | server/app.py | osteele/tidal-memories | afcd3c8900814577374bfd847ba05c12ca88f397 | [
"MIT"
] | 1 | 2018-07-24T20:19:52.000Z | 2018-07-24T20:19:52.000Z | server/app.py | osteele/tidal-memories | afcd3c8900814577374bfd847ba05c12ca88f397 | [
"MIT"
] | 2 | 2021-03-09T09:59:44.000Z | 2021-05-09T17:29:22.000Z | server/app.py | osteele/tidal-memories | afcd3c8900814577374bfd847ba05c12ca88f397 | [
"MIT"
] | null | null | null | import os
import gevent
import redis
from flask import Flask, render_template, send_from_directory
from flask_cors import CORS
from flask_restplus import Api
from flask_sockets import Sockets
from geventwebsocket.exceptions import WebSocketError
from .image_resource import api as images_api
from .thumbnails import SM... | 26.661765 | 77 | 0.629344 | 0 | 0 | 0 | 0 | 1,028 | 0.567016 | 0 | 0 | 292 | 0.161059 |
bd63313f347912b5d918aa4c501b628907905f8a | 3,045 | py | Python | batch_rl/multi_head/atari_helpers.py | alhamzah/batch_rl | 7f8d9ea0ba330cc0642515dcc44c2ad687c3a927 | [
"Apache-2.0"
] | null | null | null | batch_rl/multi_head/atari_helpers.py | alhamzah/batch_rl | 7f8d9ea0ba330cc0642515dcc44c2ad687c3a927 | [
"Apache-2.0"
] | null | null | null | batch_rl/multi_head/atari_helpers.py | alhamzah/batch_rl | 7f8d9ea0ba330cc0642515dcc44c2ad687c3a927 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The Google Research Authors.
#
# 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 applicab... | 40.6 | 80 | 0.674877 | 2,369 | 0.777997 | 0 | 0 | 0 | 0 | 0 | 0 | 1,461 | 0.479803 |
bd63927a981ce679de4270308c480c8f49ea21fc | 2,358 | py | Python | data/gary/heart.py | isabellewei/deephealth | a226788561996e698b5f52b4b83683dcb3563ea5 | [
"MIT"
] | null | null | null | data/gary/heart.py | isabellewei/deephealth | a226788561996e698b5f52b4b83683dcb3563ea5 | [
"MIT"
] | null | null | null | data/gary/heart.py | isabellewei/deephealth | a226788561996e698b5f52b4b83683dcb3563ea5 | [
"MIT"
] | null | null | null | from time import time
from sklearn.preprocessing import StandardScaler
from sklearn import model_selection
from sklearn.model_selection import train_test_split, KFold, cross_val_score
from sklearn.metrics import classification_report,confusion_matrix,accuracy_score
from sklearn.tree import DecisionTreeClassifier
... | 34.173913 | 109 | 0.787956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.025869 |
bd65948e949b532e6c9472a99e61a788ccedd640 | 870 | py | Python | third_party/infra_libs/ts_mon/common/test/stubs.py | sglass68/chromite | fa56d880e5970e63b8372895c5d43fe6edd8324a | [
"BSD-3-Clause"
] | null | null | null | third_party/infra_libs/ts_mon/common/test/stubs.py | sglass68/chromite | fa56d880e5970e63b8372895c5d43fe6edd8324a | [
"BSD-3-Clause"
] | null | null | null | third_party/infra_libs/ts_mon/common/test/stubs.py | sglass68/chromite | fa56d880e5970e63b8372895c5d43fe6edd8324a | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2015 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.
import mock
from infra_libs.ts_mon.common import interface
from infra_libs.ts_mon.common import metric_store
from infra_libs.ts_mon.common import monitors
f... | 26.363636 | 72 | 0.754023 | 340 | 0.390805 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.244828 |
bd664ca13e3a2c2338580dff837587436ec24e4f | 3,925 | py | Python | fitsmap/utils.py | ryanhausen/fitsmap | 07c1fcd44e2d2efed24607f3e866611a1be395d8 | [
"MIT"
] | 19 | 2021-06-24T13:57:59.000Z | 2022-02-02T04:45:23.000Z | fitsmap/utils.py | ryanhausen/fitsmap | 07c1fcd44e2d2efed24607f3e866611a1be395d8 | [
"MIT"
] | 38 | 2019-12-17T18:21:43.000Z | 2022-03-12T00:16:38.000Z | fitsmap/utils.py | ryanhausen/fitsmap | 07c1fcd44e2d2efed24607f3e866611a1be395d8 | [
"MIT"
] | 1 | 2021-06-24T10:53:15.000Z | 2021-06-24T10:53:15.000Z | # MIT License
# Copyright 2021 Ryan Hausen and contributers
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modif... | 28.035714 | 87 | 0.654777 | 120 | 0.030573 | 0 | 0 | 0 | 0 | 0 | 0 | 1,924 | 0.490191 |
bd66ac3284bd0acf65bf00b9b9956f03b31e1d35 | 5,819 | py | Python | bibterm2dict/tresemo.py | madskinner/bibterm2dict | 93039125fb4eaf5640bf4c91d676607dd98bb974 | [
"MIT"
] | null | null | null | bibterm2dict/tresemo.py | madskinner/bibterm2dict | 93039125fb4eaf5640bf4c91d676607dd98bb974 | [
"MIT"
] | null | null | null | bibterm2dict/tresemo.py | madskinner/bibterm2dict | 93039125fb4eaf5640bf4c91d676607dd98bb974 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 29 10:49:22 2017
@author: marks
"""
# File: tree.py
# References:
# http://hg.python.org/cpython/file/4e32c450f438/Lib/tkinter/ttk.py
# http://www.tcl.tk/man/tcl8.5/TkCmd/ttk_treeview.htm#M79
# http://svn.python.org/projects/python/branches/pep-0384/Demo/tkinter... | 39.053691 | 98 | 0.554906 | 5,225 | 0.897921 | 0 | 0 | 0 | 0 | 0 | 0 | 2,016 | 0.346451 |
bd68af29a64b3d9ad5ee5bf60f1893c99d3b0c76 | 5,803 | py | Python | test/cnnl/op_test/test_multiline_views_graph.py | Cambricon/catch | 2625da389f25a67066d20fb6b0c38250ef98f8ab | [
"BSD-2-Clause"
] | 20 | 2022-03-01T11:40:51.000Z | 2022-03-30T08:17:47.000Z | test/cnnl/op_test/test_multiline_views_graph.py | Cambricon/catch | 2625da389f25a67066d20fb6b0c38250ef98f8ab | [
"BSD-2-Clause"
] | null | null | null | test/cnnl/op_test/test_multiline_views_graph.py | Cambricon/catch | 2625da389f25a67066d20fb6b0c38250ef98f8ab | [
"BSD-2-Clause"
] | null | null | null | from __future__ import print_function
import sys
import os
import copy
import unittest
import logging
import random
# from unittest.main import main
import torch
from torch import nn
import torch_mlu.core.mlu_model as ct
cur_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(cur_dir + "/../../")
from ... | 33.350575 | 75 | 0.507496 | 5,319 | 0.916279 | 0 | 0 | 1,321 | 0.227562 | 0 | 0 | 374 | 0.064427 |
bd6b7673d05c7f722ed130c0970699fe0e657a21 | 180 | py | Python | src/polls/polls/project/admin.py | Valeriu92/Shopping_list | 3614dfc6691c28cf88db8af77ba246a9c4943794 | [
"MIT"
] | null | null | null | src/polls/polls/project/admin.py | Valeriu92/Shopping_list | 3614dfc6691c28cf88db8af77ba246a9c4943794 | [
"MIT"
] | 6 | 2021-03-19T08:45:06.000Z | 2021-09-22T19:19:21.000Z | src/polls/polls/project/admin.py | Valeriu92/Shopping_list | 3614dfc6691c28cf88db8af77ba246a9c4943794 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Users)
admin.site.register(ShoppingList)
admin.site.register(ShoppingItem)
| 22.5 | 33 | 0.811111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.155556 |
bd6c528a553f5578be66448336398952d4309fa6 | 645 | py | Python | easy/53.Maximum_Subarray.py | Leesoar/leetcode | e566513fc0e7055155157798f06089299bd44fd2 | [
"Apache-2.0"
] | 2 | 2018-03-04T23:29:49.000Z | 2019-04-23T01:13:12.000Z | easy/53.Maximum_Subarray.py | Leesoar/leetcode | e566513fc0e7055155157798f06089299bd44fd2 | [
"Apache-2.0"
] | null | null | null | easy/53.Maximum_Subarray.py | Leesoar/leetcode | e566513fc0e7055155157798f06089299bd44fd2 | [
"Apache-2.0"
] | 1 | 2018-03-05T09:58:59.000Z | 2018-03-05T09:58:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Question:
Find the contiguous subarray within an array (containing at least one number) which has the largest sum.
Example:
given the array [-2,1,-3,4,-1,2,1,-5,4],
the contiguous subarray [4,-1,2,1] has the largest sum = 6.
'''
class Solution:
def maxSubArra... | 23.035714 | 105 | 0.56124 | 373 | 0.566009 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.562974 |
bd6d10559ed324300c492ea76a3b5dca3a2078f7 | 3,153 | py | Python | tests/test_docstring.py | cbillingham/docconvert | 2843f7446546ae90ba3f38e1246e69d208e0f053 | [
"BSD-3-Clause"
] | 8 | 2019-10-07T22:49:20.000Z | 2021-12-30T22:31:28.000Z | tests/test_docstring.py | cbillingham/docconvert | 2843f7446546ae90ba3f38e1246e69d208e0f053 | [
"BSD-3-Clause"
] | 5 | 2019-09-17T21:03:38.000Z | 2020-07-23T04:47:21.000Z | tests/test_docstring.py | cbillingham/docconvert | 2843f7446546ae90ba3f38e1246e69d208e0f053 | [
"BSD-3-Clause"
] | null | null | null | """Unit tests for Docstring."""
import docconvert
class TestDocstring(object):
def test_element_ordering(self):
docstring = docconvert.parser.Docstring()
docstring.add_element(("raw", "Docstring."))
docstring.add_return(kind="int")
docstring.add_raises(kind="ValueError")
d... | 43.791667 | 75 | 0.631779 | 3,099 | 0.982873 | 0 | 0 | 0 | 0 | 0 | 0 | 593 | 0.188075 |
bd6de39ebf958030d5c9ef03e542a73527be7547 | 4,890 | py | Python | preprocess.py | EMBEDDIA/morphological-comment-filtering | 450ecbdaf2672ea09a39476db91c210657ff9c6f | [
"MIT"
] | 1 | 2020-12-01T17:56:11.000Z | 2020-12-01T17:56:11.000Z | preprocess.py | matejklemen/morphological-comment-filtering | 450ecbdaf2672ea09a39476db91c210657ff9c6f | [
"MIT"
] | null | null | null | preprocess.py | matejklemen/morphological-comment-filtering | 450ecbdaf2672ea09a39476db91c210657ff9c6f | [
"MIT"
] | null | null | null | """ The following script is used to preprocess text once and cache it to a csv file. Currently, this means obtaining
the UPOS tags and universal features + renaming columns to a common format.
This is done because it's quite a long process and we do not want to do it every time we make a change. """
import pa... | 41.092437 | 160 | 0.660941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,822 | 0.372597 |
bd6ded5eb81a42427f646f06cfec5c9cfc641f63 | 4,685 | py | Python | util/callbacks.py | TobiasKoopmann/cobert | 279fc6ce938a81afa2b8f14e4cb20b13f842ff48 | [
"Apache-2.0"
] | null | null | null | util/callbacks.py | TobiasKoopmann/cobert | 279fc6ce938a81afa2b8f14e4cb20b13f842ff48 | [
"Apache-2.0"
] | null | null | null | util/callbacks.py | TobiasKoopmann/cobert | 279fc6ce938a81afa2b8f14e4cb20b13f842ff48 | [
"Apache-2.0"
] | null | null | null | import os
import abc
import json
import numpy as np
class Callback(abc.ABC):
def __init__(self):
pass
@abc.abstractmethod
def __call__(self, predictions, labels):
pass
class Evaluation(Callback):
def __init__(self, ks=(1, 5, 10), ignore_index: int = -100, n_samples_file: str = None)... | 40.387931 | 144 | 0.526147 | 4,624 | 0.98698 | 0 | 0 | 77 | 0.016435 | 0 | 0 | 398 | 0.084952 |
bd6e02dadbfb92bc2040067fe4f4629a0b88329a | 4,436 | py | Python | titanic.py | techwizAJ/Titanic-comepetition-kaggle | 39a3d8d97a4401b0e12eefd7fbb07dde92147328 | [
"Apache-2.0"
] | null | null | null | titanic.py | techwizAJ/Titanic-comepetition-kaggle | 39a3d8d97a4401b0e12eefd7fbb07dde92147328 | [
"Apache-2.0"
] | null | null | null | titanic.py | techwizAJ/Titanic-comepetition-kaggle | 39a3d8d97a4401b0e12eefd7fbb07dde92147328 | [
"Apache-2.0"
] | null | null | null | """
# -*- coding: utf-8 -*-
@author: techwiz
Created on Sun May 27 14:47:20 2018
"""
import pandas as pd
train_set = pd.read_csv("train.csv")
test_set = pd.read_csv("test.csv")
""" Exploratory Data Analysis """
train_set['Sex'].value_counts()
train_set['Age'].value_counts()
train_set['Embarked'].value_counts()
trai... | 31.685714 | 119 | 0.772543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,801 | 0.631425 |
bd70054eb143582225de2963fca43fb0a5b2f887 | 1,301 | py | Python | scripts/sort-files/sort_files.py | toddnguyen47/saved-games | ca30e369c72f819b2bd87f2ade450bd6aa058f41 | [
"MIT"
] | null | null | null | scripts/sort-files/sort_files.py | toddnguyen47/saved-games | ca30e369c72f819b2bd87f2ade450bd6aa058f41 | [
"MIT"
] | null | null | null | scripts/sort-files/sort_files.py | toddnguyen47/saved-games | ca30e369c72f819b2bd87f2ade450bd6aa058f41 | [
"MIT"
] | null | null | null | import os
import heapq
import json
class SortFiles:
def __init__(self):
self._spell_dir = self._read_json()
self._heap = []
def execute(self):
self._heap = []
with os.scandir(self._spell_dir) as iter:
for entry in iter:
if entry.is_dir():
... | 27.680851 | 79 | 0.487317 | 1,180 | 0.906995 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.173713 |
bd73565d0ceeda144968932421c907e81fac964f | 914 | py | Python | durak/migrations/0014_gamerequest_squashed_0015_auto_20200920_0353.py | maximpertsov/durak-server | 0b3b2edd94f4b180bcc242e2a9b5e1b0c2766b54 | [
"MIT"
] | null | null | null | durak/migrations/0014_gamerequest_squashed_0015_auto_20200920_0353.py | maximpertsov/durak-server | 0b3b2edd94f4b180bcc242e2a9b5e1b0c2766b54 | [
"MIT"
] | 4 | 2021-03-30T14:34:20.000Z | 2021-09-22T19:41:16.000Z | durak/migrations/0014_gamerequest_squashed_0015_auto_20200920_0353.py | maximpertsov/durak-server | 0b3b2edd94f4b180bcc242e2a9b5e1b0c2766b54 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-09-20 20:04
from django.conf import settings
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER... | 35.153846 | 116 | 0.655361 | 711 | 0.777899 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.16302 |
bd7412e497e9ca995fe87668255ac1e986b4ec36 | 4,585 | py | Python | rlo/src/ray_main.py | tomjaguarpaw/knossos-ksc | 8fa75e67c0db8f632b135379740051cd10ff31f2 | [
"MIT"
] | 31 | 2021-09-09T16:09:55.000Z | 2022-02-20T02:15:19.000Z | rlo/src/ray_main.py | tomjaguarpaw/knossos-ksc | 8fa75e67c0db8f632b135379740051cd10ff31f2 | [
"MIT"
] | 40 | 2021-08-06T14:30:08.000Z | 2022-01-19T08:49:52.000Z | rlo/src/ray_main.py | tomjaguarpaw/knossos-ksc | 8fa75e67c0db8f632b135379740051cd10ff31f2 | [
"MIT"
] | 5 | 2021-08-06T11:20:31.000Z | 2022-01-07T19:39:40.000Z | # fmt: off
import cProfile
import os
import ray
from rlo import analytics
from rlo.config_utils import config_for_repetition, kwargs_from_config
from rlo.factory import seed_from_config, simul_search_curriculum_from_config, get_train_and_eval_exprs
from rlo.flags import make_config_for_scenario, make_parser, check_sav... | 59.545455 | 143 | 0.721047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,987 | 0.43337 |
bd776a6674d87758862d2b05706f184ab21ca00d | 3,490 | py | Python | monero/wordlists/wordlist.py | massanchik/monero-python | 5699c26f6ba0a64f50ac065ebe0419daf01fd993 | [
"BSD-3-Clause"
] | 130 | 2019-03-22T01:50:38.000Z | 2022-03-30T11:34:12.000Z | monero/wordlists/wordlist.py | massanchik/monero-python | 5699c26f6ba0a64f50ac065ebe0419daf01fd993 | [
"BSD-3-Clause"
] | 64 | 2019-03-12T10:32:36.000Z | 2022-03-31T12:38:20.000Z | monero/wordlists/wordlist.py | massanchik/monero-python | 5699c26f6ba0a64f50ac065ebe0419daf01fd993 | [
"BSD-3-Clause"
] | 55 | 2019-03-22T01:50:50.000Z | 2022-03-28T02:38:04.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
from binascii import crc32
from six import with_metaclass
WORDLISTS = {}
_log = logging.getLogger(__name__)
class WordlistType(type):
def __new__(cls, name, bases, attrs):
if bases:
if 'language_name' not in attrs:
... | 31.160714 | 103 | 0.565616 | 2,962 | 0.848711 | 0 | 0 | 1,881 | 0.538968 | 0 | 0 | 792 | 0.226934 |
bd77eafe9931dd68ca30b83439707d22832787c1 | 11,174 | py | Python | aliexp.py | winsonluk/Alizon | 02ef84d0dbfb0e444257f57865de9a3c42af8229 | [
"MIT"
] | 24 | 2017-01-14T12:42:23.000Z | 2021-11-15T15:29:48.000Z | aliexp.py | winsonluk/Alizon | 02ef84d0dbfb0e444257f57865de9a3c42af8229 | [
"MIT"
] | null | null | null | aliexp.py | winsonluk/Alizon | 02ef84d0dbfb0e444257f57865de9a3c42af8229 | [
"MIT"
] | 7 | 2017-04-01T14:23:44.000Z | 2020-04-24T18:46:36.000Z | from aliexpress_api_client import AliExpress
import PIL
from PIL import Image, ImageChops
import urllib2 as urllib
import io
from itertools import izip
from libImgComp import comp_imgs
def comp_images(i1, i2):
maxsize = (500, 500)
i1.resize(maxsize)
i2.resize(maxsize)
i1 = i1.convert('RGB')
i2 =... | 27.387255 | 168 | 0.561929 | 0 | 0 | 1,476 | 0.132092 | 0 | 0 | 0 | 0 | 3,444 | 0.308216 |
bd785257d7f6edb7876cb221a65ea0464f85372a | 224 | py | Python | entreprise/views.py | Kgermando/es | d3175832604552c79eef96fabd8e1675d04cf4a1 | [
"Apache-2.0"
] | null | null | null | entreprise/views.py | Kgermando/es | d3175832604552c79eef96fabd8e1675d04cf4a1 | [
"Apache-2.0"
] | null | null | null | entreprise/views.py | Kgermando/es | d3175832604552c79eef96fabd8e1675d04cf4a1 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
# Create your views here.
def entreprise_home(request):
template_name = 'pages/entreprise/entreprise_home.html'
context = None
return render(request, template_name, context)
| 24.888889 | 59 | 0.767857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.285714 |
bd786333da1270439f5a0534168a3541f4ceff6c | 111 | py | Python | virtual/Lib/site-packages/pylint/test/input/func_noerror_yield_return_mix.py | JamesKimari/pitch-one | aac9007716bf2e3b6446588a06508fac068f3d20 | [
"MIT"
] | 35 | 2016-09-22T22:53:14.000Z | 2020-02-13T15:12:21.000Z | virtual/lib/python3.6/site-packages/pylint/test/input/func_noerror_yield_return_mix.py | evantoh/patient-management-system | 6637eb1344775633759165260ed99843581c0e72 | [
"Unlicense"
] | 32 | 2018-05-01T05:24:43.000Z | 2022-03-11T23:20:39.000Z | virtual/lib/python3.6/site-packages/pylint/test/input/func_noerror_yield_return_mix.py | evantoh/patient-management-system | 6637eb1344775633759165260ed99843581c0e72 | [
"Unlicense"
] | 88 | 2016-11-27T02:16:11.000Z | 2020-02-28T05:10:26.000Z | """ module doc """
__revision__ = None
def somegen():
"""this kind of mix is OK"""
yield 1
return
| 13.875 | 32 | 0.576577 | 0 | 0 | 70 | 0.630631 | 0 | 0 | 0 | 0 | 46 | 0.414414 |
bd78a71bbe18cc4f93cb82249b13ad78a464f21f | 3,165 | py | Python | BlenderScripts/process_mesh.py | razluta-unity/BlenderProcessUnity | d1d20f8b1910132c63cd73570c783a55c05fafe2 | [
"MIT"
] | 2 | 2020-11-24T06:10:44.000Z | 2021-09-13T11:57:22.000Z | BlenderScripts/process_mesh.py | razluta-unity/BlenderProcessUnity | d1d20f8b1910132c63cd73570c783a55c05fafe2 | [
"MIT"
] | null | null | null | BlenderScripts/process_mesh.py | razluta-unity/BlenderProcessUnity | d1d20f8b1910132c63cd73570c783a55c05fafe2 | [
"MIT"
] | 2 | 2020-12-03T07:48:48.000Z | 2021-06-09T20:18:26.000Z | import os
import argparse
import bpy
# Constants
FBX_EXTENSION = ".fbx"
BLENDER_ACTION_SELECT = "SELECT"
BLENDER_TYPE_MESH = "MESH"
BLENDER_MODIFIER_BEVEL = "BEVEL"
def get_args():
"""
A method to obtain the arguments that came with the triggered Python file - from the .bat file.
:rtype: object
:return: An objec... | 29.579439 | 101 | 0.766193 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.37188 |
bd7b119eee1a2e5fb5a816c1b163b600e074a836 | 55 | py | Python | django_inlinecss/tests/__init__.py | briefmnews/django-inlinecss | 2d4d3cfb543147debea502598bc1fadce5ec11b1 | [
"MIT"
] | null | null | null | django_inlinecss/tests/__init__.py | briefmnews/django-inlinecss | 2d4d3cfb543147debea502598bc1fadce5ec11b1 | [
"MIT"
] | null | null | null | django_inlinecss/tests/__init__.py | briefmnews/django-inlinecss | 2d4d3cfb543147debea502598bc1fadce5ec11b1 | [
"MIT"
] | null | null | null | from django_inlinecss.tests.test_templatetags import *
| 27.5 | 54 | 0.872727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd7ba5bd647118022f742f767d54083d1e57c29a | 12,562 | py | Python | experiment_launcher.py | alekdimi/arms | f83a32caa8283789c61b59f53832149410be765b | [
"MIT"
] | 2 | 2021-06-15T09:41:45.000Z | 2021-09-08T18:30:44.000Z | experiment_launcher.py | alekdimi/arms | f83a32caa8283789c61b59f53832149410be765b | [
"MIT"
] | null | null | null | experiment_launcher.py | alekdimi/arms | f83a32caa8283789c61b59f53832149410be765b | [
"MIT"
] | null | null | null | import os
from absl import app, flags
import dataset
import networks
import tensorflow as tf
import tensorflow_probability as tfp
tfd = tfp.distributions
layers = tf.keras.layers
flags.DEFINE_enum('dataset', 'static_mnist', ['static_mnist', 'dynamic_mnist', 'fashion_mnist', 'omniglot'], 'Dataset to use.')
flags.DEF... | 38.891641 | 134 | 0.729979 | 0 | 0 | 0 | 0 | 3,521 | 0.28029 | 0 | 0 | 1,828 | 0.145518 |
bd7bd354d1693ae42a8a899d55fa9d11d8bad927 | 1,916 | py | Python | tests/test_wikipron/test_languagecodes.py | Alireza-Sampour/wikipron | ac821c5d0a7d70e7e700f45f9d01b2dfb4ecae9d | [
"Apache-2.0"
] | null | null | null | tests/test_wikipron/test_languagecodes.py | Alireza-Sampour/wikipron | ac821c5d0a7d70e7e700f45f9d01b2dfb4ecae9d | [
"Apache-2.0"
] | null | null | null | tests/test_wikipron/test_languagecodes.py | Alireza-Sampour/wikipron | ac821c5d0a7d70e7e700f45f9d01b2dfb4ecae9d | [
"Apache-2.0"
] | null | null | null | import warnings
import iso639
import pytest
import wikipron
from data.src.codes import _get_language_categories, _get_language_sizes
from wikipron.languagecodes import LANGUAGE_CODES
from . import can_connect_to_wiktionary
# We handle languages with at least this number of pronunciation entries.
_MIN_LANGUAGE_SIZE ... | 35.481481 | 76 | 0.674322 | 0 | 0 | 0 | 0 | 1,405 | 0.733299 | 0 | 0 | 702 | 0.366388 |
bd7c730835fa8f5d468d87e8c955c89982fc78f9 | 59 | py | Python | python/test.py | mkanenobu/trashbox | c691dbf9a07991fd42304020c8aac58e1e4b9644 | [
"WTFPL"
] | 2 | 2020-05-11T13:43:27.000Z | 2020-07-31T11:57:19.000Z | python/test.py | mkanenobu/trashbox | c691dbf9a07991fd42304020c8aac58e1e4b9644 | [
"WTFPL"
] | 2 | 2020-09-27T02:35:38.000Z | 2021-03-08T08:33:02.000Z | python/test.py | mkanenobu/trashbox | c691dbf9a07991fd42304020c8aac58e1e4b9644 | [
"WTFPL"
] | 1 | 2020-05-11T13:44:04.000Z | 2020-05-11T13:44:04.000Z | import sys
def plen():
print(len(sys.argv))
plen()
| 6.555556 | 24 | 0.59322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd7ca3778c63b42f6055e223a59905b275b8c2fc | 1,281 | py | Python | ethosu/vela/test/test_model_reader.py | DemonGiggle/vela | 298e383d2dbab465ddd4995a6ebc6f8bc07c8719 | [
"Apache-2.0"
] | 1 | 2021-12-01T17:16:14.000Z | 2021-12-01T17:16:14.000Z | ethosu/vela/test/test_model_reader.py | DemonGiggle/vela | 298e383d2dbab465ddd4995a6ebc6f8bc07c8719 | [
"Apache-2.0"
] | null | null | null | ethosu/vela/test/test_model_reader.py | DemonGiggle/vela | 298e383d2dbab465ddd4995a6ebc6f8bc07c8719 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved.
#
# SPDX-License-Identifier: Apache-2.0
#
# 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
#
# www.apache.org/licenses/LICE... | 37.676471 | 89 | 0.779859 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 838 | 0.654176 |
bd7e89a9c152d6c5a11c4d9af7357acb6500801c | 2,947 | py | Python | libs/DegradationModels.py | prasunroy/cnn-on-degraded-images | 85bb4c62a024e3766da3c4d2556e01c6e12e416a | [
"MIT"
] | 15 | 2018-10-01T20:54:13.000Z | 2021-10-09T10:40:21.000Z | libs/DegradationModels.py | prasunroy/cnn-on-degraded-images | 85bb4c62a024e3766da3c4d2556e01c6e12e416a | [
"MIT"
] | 1 | 2020-04-13T23:58:23.000Z | 2020-05-15T11:54:16.000Z | libs/DegradationModels.py | prasunroy/cnn-on-degraded-images | 85bb4c62a024e3766da3c4d2556e01c6e12e416a | [
"MIT"
] | 4 | 2018-11-22T09:44:29.000Z | 2019-09-17T23:37:40.000Z | # -*- coding: utf-8 -*-
"""
Degradation models.
Created on Thu May 24 11:00:00 2018
Author: Prasun Roy | CVPRU-ISICAL (http://www.isical.ac.in/~cvpr)
GitHub: https://github.com/prasunroy/cnn-on-degraded-images
"""
# imports
import cv2
import numpy
import random
# apply a degradation model on an image
def imdegrade... | 30.697917 | 74 | 0.554462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 0.262979 |