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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cae99fd12f2f7241fbe77f8b4256fe9f446d8815 | 753 | py | Python | teams/team_snapback/basic_video_stream.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 19 | 2017-10-08T03:18:38.000Z | 2020-07-07T02:34:18.000Z | teams/team_snapback/basic_video_stream.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 2 | 2017-10-08T03:15:10.000Z | 2017-10-10T16:10:32.000Z | teams/team_snapback/basic_video_stream.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 28 | 2017-10-07T23:24:36.000Z | 2022-03-29T08:03:40.000Z | #!/usr/bin/python3.6
from pynq.overlays.base import BaseOverlay
from pynq.lib.video import *
import numpy as np
import cv2
base = BaseOverlay("base.bit")
frame_w = 640
frame_h = 480
Mode = VideoMode(frame_w, frame_h, 24)
hdmi_out = base.video.hdmi_out
hdmi_out.configure(Mode, PIXEL_BGR)
hdmi_out.start()
cap = cv... | 20.916667 | 61 | 0.706507 |
1b5ce490513b6ad709cda2efbb2a72baec05bfe0 | 5,003 | py | Python | 0-newbooks/bitcoin_prediction/future_virtual_trading.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | 0-newbooks/bitcoin_prediction/future_virtual_trading.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | 0-newbooks/bitcoin_prediction/future_virtual_trading.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | from math import sqrt
from numpy import concatenate
from matplotlib import pyplot
import pandas as pd
from datetime import datetime
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import mean_squared_error
from keras.models import Sequential
from keras.... | 32.699346 | 199 | 0.694183 |
1b78b8e99c31cbd7f48a4d4ddd5f5165be98c892 | 1,502 | py | Python | meerkat_consul/authenticate.py | meerkat-code/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | null | null | null | meerkat_consul/authenticate.py | meerkat-code/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | 1 | 2018-07-18T16:36:12.000Z | 2018-07-18T16:36:12.000Z | meerkat_consul/authenticate.py | fjelltopp/meerkat_consul | 983851b360f330ad258e15d45d98251e0fe21100 | [
"MIT"
] | null | null | null | import os
import backoff
import requests
from meerkat_consul import app, logger
from meerkat_libs import authenticate
filename = os.environ.get('MEERKAT_AUTH_SETTINGS')
exec(compile(open(filename, "rb").read(), filename, 'exec'))
CONSUL_AUTH_USERNAME = os.environ.get('CONSUL_AUTH_USERNAME', 'consul-dev-user')
CONSU... | 32.652174 | 80 | 0.630493 |
1b7d38fed7d61eaf9907654f0cbaba82acc50b36 | 2,630 | py | Python | code/01_phenotype_engineering/CCU013_00_helper_functions.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | code/01_phenotype_engineering/CCU013_00_helper_functions.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | code/01_phenotype_engineering/CCU013_00_helper_functions.py | BHFDSC/CCU013_01_ENG-COVID-19_event_phenotyping | 83afef23f96c7b31fef64c6f735737d1afa3082d | [
"Apache-2.0"
] | null | null | null | # Databricks notebook source
### 1. Sam Hollings
# Functions to create and drop (separate) a table from a pyspark data frame
# Builds delta tables to allow for optimisation
# Modifies owner to allow tables to be dropped
def create_table(table_name:str, database_name:str='dars_nic_391419_j3w9t_collab', select_sql_script... | 38.676471 | 139 | 0.741065 |
1ba16624c2ee7e4f383a1ed5eba621e8b3676aae | 9,390 | py | Python | thwin2icalendar.py | real-or-random/thwin2icalendar | 6760943302e103c5b559d7dd05b5aa9a31425124 | [
"CC0-1.0"
] | 1 | 2021-04-05T19:45:19.000Z | 2021-04-05T19:45:19.000Z | thwin2icalendar.py | real-or-random/thwin2icalendar | 6760943302e103c5b559d7dd05b5aa9a31425124 | [
"CC0-1.0"
] | 1 | 2016-04-06T11:52:27.000Z | 2016-04-12T20:10:12.000Z | thwin2icalendar.py | real-or-random/thwin2icalendar | 6760943302e103c5b559d7dd05b5aa9a31425124 | [
"CC0-1.0"
] | 1 | 2021-09-10T13:53:39.000Z | 2021-09-10T13:53:39.000Z | #!/usr/bin/env python
"""
THWin2iCalendar - Converts CSV output from THWin to an iCalendar
Written in 2015-2019 by Tim Ruffing <tim@timruffing.de>
To the extent possible under law, the author(s) have dedicated all copyright and related and neighboring rights to this software to the public domain worldwide. This soft... | 30.290323 | 211 | 0.646432 |
84cc37221bfb6199768d4d7d4f353c5cc3e51543 | 623 | py | Python | 数据结构/NowCode/LeetCode/189_rotate.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | null | null | null | 数据结构/NowCode/LeetCode/189_rotate.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | 3 | 2020-08-14T07:50:27.000Z | 2020-08-14T08:51:06.000Z | 数据结构/NowCode/LeetCode/189_rotate.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | 2 | 2021-03-14T05:58:45.000Z | 2021-08-29T17:25:52.000Z | class Solution(object):
# def rotate(self, nums, k):
# arrLen = len(nums)
# if k == arrLen:
# return nums
# arr=[0 for i in range(arrLen)]
# for index in range(arrLen):
# newIndex = (index + k) % arrLen
# arr[newIndex] = nums[index]
# retur... | 27.086957 | 48 | 0.492777 |
ca481256ede734ddf7645f71b7c600edf0370d79 | 1,519 | py | Python | 128/tuwulisu_128_unionFind.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | 128/tuwulisu_128_unionFind.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | 128/tuwulisu_128_unionFind.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | class Solution:
def find(self, node):
if node[0]!=node[3]:
group_node = self.find(self.nodes[node[0]])
node[0] = group_node[0]
return group_node
else:
return node
def merge(self, node1, node2):
node1 = self.find(node1)
node2 = ... | 29.784314 | 72 | 0.459513 |
048aba89c057a5ed68533f53fd735807f8c9650f | 558 | py | Python | Tutorials/30_days_of_code/Let's Review.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/30_days_of_code/Let's Review.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Tutorials/30_days_of_code/Let's Review.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUT
# https://www.hackerrank.com/challenges/30-review-loop/problem?h_r=internal-search
# user input
n = int(input())
arr = [input() for i in range(n)]
out = []
e = ''
o = ''
inp = ''
for i in arr:
for ind, val in enumerate(i):
if ind % 2 == ... | 16.411765 | 82 | 0.508961 |
6d2356010bd511dd60d29320fc34a4192f2959de | 1,938 | py | Python | transformer/Transformer.py | DragonYong/Sklearn | b604c4bc41ecfa5c10613f713d6ca5c73214c07c | [
"Apache-2.0"
] | null | null | null | transformer/Transformer.py | DragonYong/Sklearn | b604c4bc41ecfa5c10613f713d6ca5c73214c07c | [
"Apache-2.0"
] | null | null | null | transformer/Transformer.py | DragonYong/Sklearn | b604c4bc41ecfa5c10613f713d6ca5c73214c07c | [
"Apache-2.0"
] | 1 | 2021-02-03T07:35:20.000Z | 2021-02-03T07:35:20.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2020-06-20-22:14
# @Author : TuringEmmy
# @Email : yonglonggeng@163.com
# @WeChat : csy_lgy
# @File : Transformer.py
# @Project : PaperProject
from tensorflow import keras
import tensorflow as tf
from Model import EncoderModel, DecoderModel
from ... | 37.269231 | 119 | 0.69453 |
6116826a323a4cc6658f12082fa605153bdaf8b5 | 1,141 | py | Python | rawio/grouping/wavelet.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | rawio/grouping/wavelet.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | rawio/grouping/wavelet.py | hdkai/Raw-IO | f0fa928d7ef59a363c6f4c876d642af6dede6ae4 | [
"Apache-2.0"
] | null | null | null | #
# RawIO
# Copyright (c) 2021 Yusuf Olokoba.
#
from imagehash import whash
from PIL import Image
from typing import Callable
def wavelet_similarity (hamming_threshold: float=0.15) -> Callable[[str, str], bool]:
"""
Create a similarity function which compares Wavelet-domain hashes between images.
Pa... | 33.558824 | 139 | 0.669588 |
b6a3cf42fb86eb129a6e9f8337355043f701502e | 3,646 | py | Python | tools/postprocess.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | tools/postprocess.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | tools/postprocess.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from PIL import Image
import os
import matplotlib.pyplot as plt
import cv2
from dataloader.skmt import SkmtDataSet
dataset_root = '../data/SKMT/Seg'
images_path = os.path.join(dataset_root, 'SegmentationClass')
def find_pic(img,ii):
img1 = np.zeros(img.shape, np.uint8)
... | 32.846847 | 94 | 0.623423 |
fce7d979a53e9f49c720a2a0a6f4b1f3941b4ad0 | 1,738 | py | Python | Ws2812Painter.py | BogyMitutoyoCTL/Riesen-Tetris-3 | 349d7b6f12c2ddf0b66683c904406a5e8596228d | [
"MIT"
] | 1 | 2019-10-22T14:02:34.000Z | 2019-10-22T14:02:34.000Z | Ws2812Painter.py | BogyMitutoyoCTL/Riesen-Tetris-3 | 349d7b6f12c2ddf0b66683c904406a5e8596228d | [
"MIT"
] | null | null | null | Ws2812Painter.py | BogyMitutoyoCTL/Riesen-Tetris-3 | 349d7b6f12c2ddf0b66683c904406a5e8596228d | [
"MIT"
] | null | null | null | from luma.led_matrix.device import neopixel
from luma.core.render import canvas
# Ws2812 Matrix
# ----------> X
# | 0/0 9/0
# |
# |
# |
# v
#
# Y
#
#
#
# 0/19 9/19
class Ws2812Painter:
def __init__(self):
self.device = neopixel(width=10, height=20, ro... | 33.423077 | 95 | 0.488493 |
a2095b09a49e621b51b04b52cfde4dabfe3d8b5d | 2,138 | py | Python | app/main.py | allure-ai/mattermost-gas-button | a7c605b7d5861c422938a31dbd7a96940f442078 | [
"MIT"
] | null | null | null | app/main.py | allure-ai/mattermost-gas-button | a7c605b7d5861c422938a31dbd7a96940f442078 | [
"MIT"
] | null | null | null | app/main.py | allure-ai/mattermost-gas-button | a7c605b7d5861c422938a31dbd7a96940f442078 | [
"MIT"
] | null | null | null | import os
from flask import Flask, request
import random
import requests
app = Flask(__name__)
BASE_URL = os.getenv('BASE_URL', 'http://localhost')
@app.route('/gas/mattermost', methods=['POST'])
def prompt_gas():
prompt = request.form.get('text')
return {
"response_type": "in_channel",
"us... | 28.891892 | 81 | 0.36623 |
bf5b375c0cda58c68e7c706f404d1dfddb84b02f | 229 | py | Python | LINE/2021/web/YourNote/web/src/database.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | LINE/2021/web/YourNote/web/src/database.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | LINE/2021/web/YourNote/web/src/database.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | from flask_sqlalchemy import SQLAlchemy
from retrying import retry
db = SQLAlchemy()
@retry(wait_fixed=2000, stop_max_attempt_number=10)
def init_db(app):
db.init_app(app)
with app.app_context():
db.create_all() | 22.9 | 51 | 0.746725 |
bf87ea0d189c093c8932af49c0adc82c0e317adb | 1,985 | py | Python | ahecalendar.py | owagner/ahecalendar | f1ae7a37130b54a20de4692fdd65761f6caa86c4 | [
"MIT"
] | null | null | null | ahecalendar.py | owagner/ahecalendar | f1ae7a37130b54a20de4692fdd65761f6caa86c4 | [
"MIT"
] | null | null | null | ahecalendar.py | owagner/ahecalendar | f1ae7a37130b54a20de4692fdd65761f6caa86c4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Download des AHE-Abfallkalenders im JSON-Forma
#
# Gibt entweder die Rohdaten aus, oder mit der Option --next
# die jeweils nächsten Abfuhrtermine pro Containertyp, oder mit
# --todayornext auch am Tag des Aufrufs stattfindende
# Abfuhren
#
from __future__ import print_function
import argp... | 34.824561 | 105 | 0.746599 |
44d5d2dd1d7c0791f1f4aa891b5719b760c48de0 | 259 | py | Python | Hero/2021/crypto/h4XOR/xor.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | Hero/2021/crypto/h4XOR/xor.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | Hero/2021/crypto/h4XOR/xor.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | #!/usr/bin/env python3
from os import urandom
from random import randint
from pwn import xor
input_img = open("flag.png", "rb").read()
outpout_img = open("flag.png.enc", "wb")
key = urandom(8) + bytes([randint(0, 9)])
outpout_img.write(xor(input_img, key))
| 23.545455 | 41 | 0.706564 |
788c8b93c5ee4f8695a3c129b2b2c8f3e6e1bc52 | 733 | py | Python | components/py_engine/tests/haas/HaaSEdu/python-apps/driver/i2c/test_qmc5883.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | components/py_engine/tests/haas/HaaSEdu/python-apps/driver/i2c/test_qmc5883.py | ekmixon/AliOS-Things | 00334295af8aa474d818724149726ca93da4645d | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | components/py_engine/tests/haas/HaaSEdu/python-apps/driver/i2c/test_qmc5883.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | """
Testing qmc5883 python driver
The below i2c configuration is needed in your board.json.
"qmc5883": {
"type": "I2C",
"port": 1,
"addrWidth": 7,
"freq": 400000,
"mode": "master",
"devAddr": 13
}
"""
from qmc5883 import QMC5883
print("Testing qmc5883 ...")
qmc5883Dev = QMC5883()
qmc5883Dev.open("qmc5883... | 20.942857 | 57 | 0.709413 |
78b89e2df3388513347bf06be34291bffc3231dd | 2,283 | py | Python | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryParse/InvestigationSummaryParse_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryParse/InvestigationSummaryParse_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/MalwareInvestigationAndResponse/Scripts/InvestigationSummaryParse/InvestigationSummaryParse_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import json
from pathlib import Path
import pytest
from CommonServerPython import CommandResults
from InvestigationSummaryParse import parse_command, KillChain, Result, Source
TEST_DATA_DIR = Path(__file__).parent / 'test_data'
def _list_to_context(command_results: list[CommandResults]):
return [result.to_cont... | 36.238095 | 119 | 0.621989 |
415b596c00445f725046365cbfbd626a2305a46b | 582 | py | Python | packages/watchmen-cli/src/watchmen_cli/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-cli/src/watchmen_cli/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-cli/src/watchmen_cli/settings.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from logging import getLogger
from pydantic import BaseSettings
from watchmen_cli.common.constants import REPLACE
logger = getLogger(__name__)
class CliSettings(BaseSettings):
META_CLI_HOST: str = 'http://localhost'
META_CLI_USERNAME: str = None
META_CLI_PASSWORD: str = None
META_CLI_PAT: str = None
META_CLI_... | 21.555556 | 49 | 0.756014 |
ec0c847ed596205f78dd9b7e7e830f3bb9ebe445 | 3,558 | py | Python | classify/test_classify.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | classify/test_classify.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | 2 | 2021-03-31T18:54:16.000Z | 2021-12-13T19:49:08.000Z | classify/test_classify.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | import os
import re
import time
from datetime import datetime
from tqdm import tqdm
import codecs
import numpy as np
import subprocess
import multiprocessing
#from multiprocessing import Pool
from multiprocessing.dummy import Pool
from pprint import pprint
import pymongo
from pymongo import InsertOne, DeleteMany, Rep... | 30.672414 | 122 | 0.657392 |
ec39e159e6871f14e697b07910f401fd1e5e1fd5 | 4,572 | py | Python | research/nlp/ktnet/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/nlp/ktnet/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/nlp/ktnet/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 41.189189 | 103 | 0.665792 |
2e24afd0d4765d44cb35a555f2c14c6b3b4cf848 | 479 | py | Python | m5-101/content/solutions/web-crawler/section5.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:15:38.000Z | 2021-11-10T12:29:19.000Z | m5-101/content/solutions/web-crawler/section5.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | null | null | null | m5-101/content/solutions/web-crawler/section5.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:18:10.000Z | 2021-04-08T13:44:48.000Z | import pickle
import json
import re
# Read pickle File
pkl_file = 'programs.pkl'
f = open(pkl_file, 'rb')
infos = pickle.load(f, encoding='bytes')
print(len(infos))
# Search
programs = []
keyword = input('What ru looking for : ')
for key in infos:
d = json.loads(infos[key])
if re.search(keyword, d['program_d... | 23.95 | 83 | 0.663883 |
2e7973ec20d345fb31ddd96c73f2d0c5893563d4 | 7,545 | py | Python | checkmate.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | checkmate.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | checkmate.py | eaydin/checkmate | 6a9cad7599c8c3e2087cb83b544368fdf69f6147 | [
"MIT"
] | null | null | null | import signal
import datetime
from CheckMate.webcheck import run_curl_checker
from CheckMate.mate import run_mate_service
from CheckMate.webcheck import run_mate_check
from CheckMate.tcp_check import run_tcp_check
from CheckMate.sendmail import run_mail_success
import CheckMate.log
import CheckMate.mate
import argparse... | 52.034483 | 121 | 0.655931 |
512ed22249f4d4eccac9ab797e94b4e96fd630ea | 1,610 | py | Python | python/sql_alchemy/managing_relationship/many_to_many.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/sql_alchemy/managing_relationship/many_to_many.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/sql_alchemy/managing_relationship/many_to_many.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | from sqlalchemy import Column, Integer, String, ForeignKey, Table
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
association_table = Table('association', Base.metadata,
Column('team_id', Integer, ForeignKey('example.sqlalchemy_tutorial_pla... | 30.961538 | 90 | 0.627329 |
7a444036342572a7a810f9a096652055bc574a1c | 386 | py | Python | 01.DataStructure/Tree/NY/P42576_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 01.DataStructure/Tree/NY/P42576_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 01.DataStructure/Tree/NY/P42576_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | #프로그래머스 - 해시 42576 해시로 안 함... ㅠㅠ
def solution(participant, completion):
answer = ''
participant.sort()
completion.sort()
for i in range(len(participant)) :
try :
if participant[i] != completion[i] :
answer = participant[i]
break
except(In... | 24.125 | 48 | 0.541451 |
710a4c8e450d3de28dadddb1bb6c60dfa22c5774 | 1,211 | py | Python | hystreet/hystreet_to_s3/main.py | tho-wa/virushack | 2bb057b4557969d4bf8899b78fe9fc2d5ef5ae13 | [
"Apache-2.0"
] | null | null | null | hystreet/hystreet_to_s3/main.py | tho-wa/virushack | 2bb057b4557969d4bf8899b78fe9fc2d5ef5ae13 | [
"Apache-2.0"
] | null | null | null | hystreet/hystreet_to_s3/main.py | tho-wa/virushack | 2bb057b4557969d4bf8899b78fe9fc2d5ef5ae13 | [
"Apache-2.0"
] | null | null | null | import requests
import pandas as pd
import os
import json
df = pd.DataFrame(columns=['timestamp', 'station_id', 'pedestrians_count',
'unverified', 'weather_condition', 'temperature', 'min_temperature'])
headers = {'Content-Type': 'application/json',
'X-API-Token': os.getenv('HYST... | 44.851852 | 125 | 0.666391 |
f133ee3811cc26920c66a98d5236ae4a52c79f1d | 816 | py | Python | backend/migrations/versions/16080f1821df_.py | davidoesch/platform | 1eb6f98568cab82e28bd5350beab2042b22d99ed | [
"MIT"
] | null | null | null | backend/migrations/versions/16080f1821df_.py | davidoesch/platform | 1eb6f98568cab82e28bd5350beab2042b22d99ed | [
"MIT"
] | null | null | null | backend/migrations/versions/16080f1821df_.py | davidoesch/platform | 1eb6f98568cab82e28bd5350beab2042b22d99ed | [
"MIT"
] | null | null | null | """empty message
Revision ID: 16080f1821df
Revises: 37a8cc7186ff
Create Date: 2019-04-05 11:47:04.800261
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '16080f1821df'
down_revision = '37a8cc7186ff'
branch_labels = None
depends_on = None
def upgrade():
# ... | 26.322581 | 86 | 0.697304 |
f14ce0ca42b78cc8583798f0c1de14e303252336 | 1,285 | py | Python | SoSe-21/Code-Vorlesungen/VL-5/Einstieg-Funktionen-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | SoSe-21/Code-Vorlesungen/VL-5/Einstieg-Funktionen-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | SoSe-21/Code-Vorlesungen/VL-5/Einstieg-Funktionen-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Definieren meiner Funktion
# # Als erstes: def
# # Als zweites: Name der Funktion
# # Gefolgt von ():
def trenner(anzahl_sterne):
for i in range(anzahl_sterne):
print("*", end="")
print()
# Diese Funktion berechnet die größte Zahl aus drei eingegebenen Zahlen
def berechnung_maximum(zahl1, zahl2, zahl... | 41.451613 | 136 | 0.727626 |
74900602bf429967225e9c327249ac049f8ba0fb | 83 | py | Python | examples/nowcoder/SQL2/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 5 | 2020-07-14T07:48:10.000Z | 2021-12-20T21:20:10.000Z | examples/nowcoder/SQL2/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 7 | 2021-03-26T03:13:38.000Z | 2022-03-12T00:42:03.000Z | examples/nowcoder/SQL2/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 1 | 2021-02-16T07:04:25.000Z | 2021-02-16T07:04:25.000Z | from django.apps import AppConfig
class Sql2Config(AppConfig):
name = 'SQL2'
| 13.833333 | 33 | 0.73494 |
248045c935d70715767d75e10f9fc66daa85a349 | 419 | py | Python | publ/__init__.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 6 | 2018-03-29T02:07:44.000Z | 2018-09-26T00:17:31.000Z | publ/__init__.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | 82 | 2018-04-01T08:53:59.000Z | 2018-09-28T23:45:05.000Z | publ/__init__.py | fluffy-critter/Publ | 868c5a17c605707dde4d1a95d79405301bd12f05 | [
"MIT"
] | null | null | null | """ Publ: A Flask-based site management system.
Like a static publishing system, but dynamic! See http://publ.beesbuzz.biz
for more information. """
import logging
from .flask_wrapper import Publ
LOGGER = logging.getLogger(__name__)
def publ(name, cfg):
""" Legacy function that originally did a lot more """
... | 24.647059 | 74 | 0.732697 |
3b663f39569be51788df7f877f779f2323ca1bbf | 3,513 | py | Python | run_tests.py | clemensschiffer/openmcx | 1c8a53857cd2d62349de3627be3b7bea68e4ecbf | [
"Apache-2.0"
] | 22 | 2021-04-09T16:25:16.000Z | 2022-03-29T19:31:16.000Z | run_tests.py | clemensschiffer/openmcx | 1c8a53857cd2d62349de3627be3b7bea68e4ecbf | [
"Apache-2.0"
] | null | null | null | run_tests.py | clemensschiffer/openmcx | 1c8a53857cd2d62349de3627be3b7bea68e4ecbf | [
"Apache-2.0"
] | 3 | 2021-09-24T11:46:42.000Z | 2021-11-09T07:05:41.000Z | ################################################################################
# Copyright (c) 2021 AVL List GmbH and others
#
# This program and the accompanying materials are made available under the
# terms of the Apache Software License 2.0 which is available at
# https://www.apache.org/licenses/LICENSE-2.0.
#
... | 28.560976 | 147 | 0.586393 |
8e8d2255604b8a056060da7dab643554dd98804d | 5,553 | py | Python | the_platform/settings.py | Thames1990/BadBatBets | 8dffb69561668b8991bf4103919e4b254d4ca56a | [
"MIT"
] | null | null | null | the_platform/settings.py | Thames1990/BadBatBets | 8dffb69561668b8991bf4103919e4b254d4ca56a | [
"MIT"
] | null | null | null | the_platform/settings.py | Thames1990/BadBatBets | 8dffb69561668b8991bf4103919e4b254d4ca56a | [
"MIT"
] | null | null | null | """
Django settings for the_platform project.
Generated by 'django-admin startproject' using Django 1.9.5.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
import ... | 27.765 | 99 | 0.591212 |
d96634ddeae13fbc9bb5deb3efffa73f07eadb50 | 72 | py | Python | nz_crawl_demo/day8/autohome/autohome/start.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day8/autohome/autohome/start.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day8/autohome/autohome/start.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from scrapy import cmdline
cmdline.execute('scrapy crawl bmw8'.split()) | 24 | 44 | 0.791667 |
692be2ea7fef94bef6bb8d2063351dc8b2dc35ce | 358 | py | Python | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P08_GraduationPt.2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P08_GraduationPt.2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P08_GraduationPt.2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | year = 1
name = input()
skasan = 0
total = 0
while year <= 12:
grade = float(input())
if grade < 4:
if skasan > 0:
break
skasan += 1
continue
total += grade
year += 1
if year > 12:
print(f"{name} graduated. Average grade: {total / 12:.2f}")
else:
print(f"{nam... | 19.888889 | 63 | 0.539106 |
692f4a4a8274acc3d5b2f638c4ca77cb27054cbd | 4,803 | py | Python | resources/mechanics_lib/utils/display.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 7 | 2016-01-20T02:33:00.000Z | 2021-02-04T04:06:57.000Z | resources/mechanics_lib/utils/display.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | null | null | null | resources/mechanics_lib/utils/display.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 3 | 2016-10-05T07:20:30.000Z | 2017-11-20T10:36:50.000Z | try:
from api.drawing import *
from api.edge import *
except:
from ..api.drawing import *
from ..api.edge import *
from Tkinter import *
import math
#def displayTkinter(dwg, height = 500, width = 700, showFlats = True):
class DisplayApp:
def __init__(self, dwg, height = 500, width = 700, showFlats = True... | 35.843284 | 128 | 0.57131 |
ba421ed53ad2906a31ce024824a9c39c4b9af301 | 6,633 | py | Python | cbm/ipycbm/utils/settings.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 17 | 2021-01-18T07:27:01.000Z | 2022-03-10T12:26:21.000Z | cbm/ipycbm/utils/settings.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 4 | 2021-04-29T11:20:44.000Z | 2021-12-06T10:19:17.000Z | cbm/ipycbm/utils/settings.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 47 | 2021-01-21T08:25:22.000Z | 2022-03-21T14:28:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Konstantinos Anastasakis
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import os
from os.path import join, normpath
from ipywidge... | 27.6375 | 98 | 0.591437 |
ba94e5b3cc52a867541980710bdefad3e1a7ce9c | 401 | py | Python | ebenezer/atencion/migrations/0013_level_code.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | ebenezer/atencion/migrations/0013_level_code.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | 3 | 2020-02-11T23:15:00.000Z | 2021-06-10T20:52:17.000Z | ebenezer/atencion/migrations/0013_level_code.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.2 on 2018-10-05 17:37
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('atencion', '0012_level_taxonomy'),
]
operations = [
migrations.AddField(
model_name='level',
name='code',
... | 21.105263 | 73 | 0.598504 |
2469bacfb8e7eb2079df1e628df73b494874c675 | 751 | py | Python | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_035.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | 209 | 2020-10-06T08:34:45.000Z | 2022-03-08T08:35:15.000Z | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_035.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | null | null | null | 一、工程基础/软件工程/算法与数据结构/力扣题目/leetcode_035.py | ethan-sui/AI-algorithm-engineer-knowledge | 24795b23a4cbeb6e6839e0cae65f7745be666da6 | [
"Apache-2.0"
] | 8 | 2020-10-09T09:07:18.000Z | 2021-05-18T10:30:46.000Z | # 35、搜索插入位置
# 一、暴力法，遍历所有的可能，寻找位置，时间复杂度O(n)，空间复杂度O(1)
def searchInsert0(nums, target):
if target == nums[-1]:
return len(nums)-1
if target > nums[-1]:
return len(nums)
if target < nums[0]:
return 0
for i in range(len(nums)-1):
if target == nums[i]:
return i
... | 25.896552 | 40 | 0.549933 |
300e0caf17d861bc69e7285a8d25fef5e5b42175 | 1,776 | py | Python | scripts/MovieDataset.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null | scripts/MovieDataset.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null | scripts/MovieDataset.py | walty19950301/MovieRecommend | b86e773b4c27159d8819c5bae1c87192ce47953a | [
"MIT"
] | null | null | null | import WQUtil as util
class LoadData(object):
def __init__(self,filename):
self.file = open(filename,'r',encoding='UTF-8')
def __del__(self):
self.file.close()
del self.file
class Movies(LoadData):
def __init__(self, filename):
util.log('Movies init','start')
Loa... | 28.190476 | 90 | 0.583896 |
cc4dabbb93db741d56b8630e0163bd63fcb6746f | 3,575 | py | Python | agents/hetero_agents.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 2 | 2022-02-24T08:21:49.000Z | 2022-03-10T08:57:35.000Z | agents/hetero_agents.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 1 | 2022-02-24T08:40:21.000Z | 2022-02-24T12:01:58.000Z | agents/hetero_agents.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from agents.dqn import DQNAgent
from modules.hgn import HGNNetwork
from utils.numba_utils import *
from utils.torch_utils import *
from utils.class_utils import get_cls_from_path
from utils.hparams import hparams
from copy import de... | 45.833333 | 113 | 0.653986 |
9dd16ae8fce8c87b0964328a3dc11cb235239fc3 | 121 | py | Python | tests/server/middleware/test_api.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 156 | 2021-11-19T18:50:14.000Z | 2022-03-31T19:48:59.000Z | tests/server/middleware/test_api.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 30 | 2021-12-27T19:30:56.000Z | 2022-03-30T17:49:00.000Z | tests/server/middleware/test_api.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 14 | 2022-01-17T23:24:34.000Z | 2022-03-29T09:27:47.000Z | import pytest
import server.middleware.api
def test_init_api():
pass
def test_api_version_and_prefix():
pass
| 11 | 34 | 0.752066 |
8835b0f0df7e99a5bc44cdccf7bab6738c80a3f6 | 163 | py | Python | scripts/hello_world_christianheinrichs.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_christianheinrichs.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | null | null | null | scripts/hello_world_christianheinrichs.py | breezage/Hacktoberfest-1 | 6f6d52248c79c0e72fd13b599500318fce3f9ab0 | [
"MIT"
] | 1 | 2019-10-24T06:45:21.000Z | 2019-10-24T06:45:21.000Z | #!/usr/bin/env python3
## LANGUAGE: Python
## ENV: Native
## AUTHOR: Christian Heinrichs
## GITHUB: https://github.com/christianheinrichs
print("Hello, world!")
| 18.111111 | 48 | 0.711656 |
a0031c10bca990efb57a3dd935ae74b3a68082a8 | 2,173 | py | Python | site/public/courses/DS-2.2/Notebooks/Image_data_prep/fire_image_classification.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | 1 | 2021-08-24T20:22:19.000Z | 2021-08-24T20:22:19.000Z | site/public/courses/DS-2.2/Notebooks/Image_data_prep/fire_image_classification.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | site/public/courses/DS-2.2/Notebooks/Image_data_prep/fire_image_classification.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | import glob
import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
import keras
from PIL import Image
from keras.preprocessing.image import img_to_array
files = glob.glob("Fire images/*.*")
l... | 32.924242 | 189 | 0.590428 |
4ec4bf93829679e15ae5f188b6b12cc9661cd643 | 22 | py | Python | RDS/circle3_central_services/token_storage/src/lib/__init__.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 10 | 2020-06-24T08:22:24.000Z | 2022-01-13T16:17:36.000Z | RDS/circle3_central_services/token_storage/src/lib/__init__.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 78 | 2020-01-23T14:32:06.000Z | 2022-03-07T14:11:16.000Z | RDS/circle3_central_services/token_storage/src/lib/__init__.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 1 | 2020-06-24T08:33:48.000Z | 2020-06-24T08:33:48.000Z | from . import Storage
| 11 | 21 | 0.772727 |
094b26e3ef4e93c0d3b6033be149ab7621c30eb9 | 85,427 | py | Python | tests/onegov/swissvotes/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/swissvotes/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/swissvotes/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from csv import DictReader
from datetime import date
from datetime import datetime
from decimal import Decimal
from freezegun import freeze_time
from io import BytesIO
from io import StringIO
from onegov.core.orm.abstract import MoveDirection
from onegov.swissvotes.collections import SwissVoteCollection
from onegov.swi... | 30.651956 | 78 | 0.507439 |
116ff4f800af92e993a9f003eb8881f3185ebf3a | 1,944 | py | Python | marsyas-vamp/marsyas/scripts/Python/icme2011_distance_matrix_resampled.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/Python/icme2011_distance_matrix_resampled.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/Python/icme2011_distance_matrix_resampled.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Calculate the stats of a pitch contour txt file
#
# Stats include median, mean, min, max, std dev.
#
import sys
import os
import datetime
import commands
import re
import numpy as np
import math
if len(sys.argv) != 4:
print "Usage: icme2011_distance_matrix_resampled.py pitch_contours.mf o... | 23.421687 | 102 | 0.687243 |
eec8f7fb96307af508554e529e4538ca92574545 | 223 | py | Python | _dev/license-retrival-mock-server/src/main.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | _dev/license-retrival-mock-server/src/main.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | _dev/license-retrival-mock-server/src/main.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | from fastapi import FastAPI
import routers.auth
import routers.licenses
router_modules = [routers.auth, routers.licenses]
app = FastAPI()
for router_module in router_modules:
app.include_router(router_module.router)
| 20.272727 | 49 | 0.807175 |
eee6178996e62d414f78a1d00335baf4476f7123 | 269 | py | Python | exercises/es/exc_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/exc_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/exc_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("es_core_news_sm")
doc = nlp("Yo tengo un gato")
# Busca el hash para la palabra "gato"
gato_hash = ____.____.____[____]
print(gato_hash)
# Busca el gato_hash para obtener el string
gato_string = ____.____.____[____]
print(gato_string)
| 20.692308 | 43 | 0.750929 |
e9334f2ffcd52a98ae38216bf9eb8c345c03ac7a | 137 | py | Python | python/python_backup/PRAC_PYTHON/7_continue.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/7_continue.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/7_continue.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | for num in range(2,10):
if(num%2==0):
print("found an even number : ",num)
continue
else:
print("found an odd number :",num) | 22.833333 | 39 | 0.613139 |
3aa00fc83d722c9744b6420f6f3994dc7ae0750a | 342 | py | Python | Project Euler Questions 21 - 30/Project Euler Question 30.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | 1 | 2020-02-11T02:03:02.000Z | 2020-02-11T02:03:02.000Z | Project Euler Questions 21 - 30/Project Euler Question 30.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | Project Euler Questions 21 - 30/Project Euler Question 30.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | #Project Euler Question 30
#Digit Fifth Powers
def power_sum_list(x):
power_list = []
for num in range(2, (10**(x+1))):
digit_sum = sum(list([(int(digit)**x) for digit in str(num)]))
if digit_sum == num:
power_list.append(num)
#print (power_list)
return sum(power_list)
pri... | 24.428571 | 70 | 0.619883 |
6ede89b9c4391a991926b25f2ad0ffaeea1227aa | 4,961 | py | Python | tensorflow/basic-rl/tutorial5/tests/grid.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/basic-rl/tutorial5/tests/grid.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/basic-rl/tutorial5/tests/grid.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | """
Grid world example
fetched from http://outlace.com/Reinforcement-Learning-Part-3/
"""
import numpy as np
def randPair(s,e):
return np.random.randint(s,e), np.random.randint(s,e)
#finds an array in the "depth" dimension of the grid
def findLoc(state, obj):
for i in range(0,4):
for j in range(0,... | 29.885542 | 91 | 0.557952 |
959d3106a701744df69e68ad13fd4aceb6aa6dba | 198 | py | Python | Regex/Introduction/matching_anything_but_a_newline.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Regex/Introduction/matching_anything_but_a_newline.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Regex/Introduction/matching_anything_but_a_newline.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import re
regex_pattern = r'^.{3}\..{3}\..{3}\..{3}$'
test_string = input()
match = re.match(regex_pattern, test_string) is not None
print(str(match).lower())
| 15.230769 | 56 | 0.656566 |
c2b77ab3264fc4e04e1b3fcd5f34c111842bd766 | 2,695 | py | Python | ppyt/rules/entry_rules/price_entry_rules.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/rules/entry_rules/price_entry_rules.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/rules/entry_rules/price_entry_rules.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import logging
from ppyt import const
from ppyt.rules.entry_rules import EntryBase
from ppyt.indicators.basic_indicators import (
RecentHighPriceIndicator, RecentLowPriceIndicator,
)
logger = logging.getLogger(__name__)
class BreakoutEntry(EntryBase):
"""価格のブレイクアウトを見て仕掛けるクラスです。"""
_findk... | 30.977011 | 99 | 0.630056 |
c2bc2ac6982782327017c8c5fe9eed9f9a35fca8 | 839 | py | Python | saku/auction/serializers.py | Mehdi-MosTafavi/Saku-Backend | 348a1a676ffc8ddd9077f8c94733c5f6dce98fbd | [
"MIT"
] | null | null | null | saku/auction/serializers.py | Mehdi-MosTafavi/Saku-Backend | 348a1a676ffc8ddd9077f8c94733c5f6dce98fbd | [
"MIT"
] | null | null | null | saku/auction/serializers.py | Mehdi-MosTafavi/Saku-Backend | 348a1a676ffc8ddd9077f8c94733c5f6dce98fbd | [
"MIT"
] | null | null | null | import random
import string
from rest_framework import serializers
from auction.models import Auction
def get_random_token():
return ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(8))
class CreateAuctionRequestSerializer(serializers.ModelSerializer):
class Meta:
model = A... | 31.074074 | 100 | 0.690107 |
b0bb8c217d31d7225d573b06ffbfded15194cc25 | 1,923 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex06_quick_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex06_quick_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch09_search_and_sort/solutions/ex06_quick_sort.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def swap_positions(list, pos1, pos2):
list[pos1], list[pos2] = list[pos2], list[pos1]
def quick_sort_inplace(values):
quick_sort_in_range(values, 0, len(values) - 1)
def quick_sort_in_range(values, left, right):
# r... | 26.708333 | 80 | 0.669267 |
c6735c4b5f50879016adfe7d93ad91897bbe7d7e | 183 | py | Python | exercises/fr/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/fr/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | # Importe spaCy
import spacy
# Crée l'objet nlp français
nlp = spacy.blank("fr")
# Traite un texte
doc = nlp("Ceci est une phrase.")
# Affiche le texte du document
print(doc.text)
| 15.25 | 33 | 0.710383 |
059cb7838c9c4c0c23a150131d2d37d3d80b82a5 | 302 | py | Python | Programming Languages/Python/Theory/100_Python_Exercises/Exercises/Exercise 46/46.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | 50-Python-Exercises/Exercises/Exercise 46/46.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | 50-Python-Exercises/Exercises/Exercise 46/46.py | kuwarkapur/Hacktoberfest-2022 | efaafeba5ce51d8d2e2d94c6326cc20bff946f17 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | #Write a script that extracts letters from the 26 text files and put the letters in a list
import glob
letters = []
file_list = glob.glob("letters/*.txt")
print(file_list)
for filename in file_list:
with open(filename, "r") as file:
letters.append(file.read().strip("\n"))
print(letters)
| 25.166667 | 90 | 0.708609 |
05dcfae1884b1795bd4cc2661fa6edc132260739 | 3,973 | py | Python | benwaonline/query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | benwaonline/query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | 16 | 2017-09-13T10:21:40.000Z | 2020-06-01T04:32:22.000Z | benwaonline/query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | from benwaonline.mappers import nonempty_fields, relationships
class Query(object):
def __init__(self, criteria):
self.criteria = criteria
def __repr__(self):
return '<Query {}>'.format(self.criteria)
def to_filter(self):
try:
return [c.to_filter() for c in self.criter... | 29 | 111 | 0.617418 |
a586b6ba227ded8f42f8e740902131839b235f99 | 4,687 | py | Python | marsyas-vamp/marsyas/src/marsyas_python/plot_spectrogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/plot_spectrogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/plot_spectrogram.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# This utility will plot beautiful spectrograms of your sound files. You will have to specify a lot of parameters,
# but the good news is, the defaults will be set so that it will fit most people's needs.
#
# The parameters you have to set are:
# - Input file name
# - Frame step / Frame length (i... | 50.945652 | 216 | 0.713036 |
a5aa996f8633b0def95ebf00b9fb21767c0b5f86 | 166 | py | Python | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/08.11-Recursion.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/08.11-Recursion.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/08.11-Recursion.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | import sys
print(sys.getrecursionlimit())
sys.setrecursionlimit(2000)
print(sys.getrecursionlimit())
# def great():
# print("Hello")
# great()
# great()
| 11.857143 | 30 | 0.668675 |
3c7d6ea80f0a8caf632e67b37a0e9b99b11a745a | 92 | py | Python | 2014/09/table-poverty-families-2013/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/09/table-poverty-families-2013/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/09/table-poverty-families-2013/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1_eHJqegdRDdt--azNQxNly5aRr3zRG2BLdoKix9wikA'
| 23 | 68 | 0.826087 |
b1f5a04a69a5e308071e31703111446df443911c | 29,373 | py | Python | imbiss_ML.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | imbiss_ML.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | imbiss_ML.py | Steinheilig/Imbiss | 49f6ae865cef05b4999569cecaf5931db0fb2113 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Machine Learning applied to defeat a 30 years old DOS game...
Game mechanics
"Imbiss" v. 5.4 by T. Bauer for IBM PC, 1991, Public Domain
Applying machine learning to find optimal sales prices, i.e. the sales prices optimizing the profit given the current temperature and day of t... | 36.808271 | 152 | 0.547101 |
b1fe63abb9323f4aab50edeee02f5b9b0fcbc529 | 1,640 | py | Python | controller/main.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | 1 | 2021-06-15T08:59:02.000Z | 2021-06-15T08:59:02.000Z | controller/main.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null | controller/main.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null |
import conf
import atexit
import controller
import time
import logging
import mpipc_srv
import led3c
import db
import signal
import output
# https://docs.python.org/3/howto/logging-cookbook.html
# levels: NOTSET, DEBUG, INFO, WARNING, ERROR, CRITICAL
logger = logging.getLogger(conf.TSGRAIN_LOGGER)
logger.setLevel(l... | 24.117647 | 85 | 0.702439 |
3ccca3dc076c6a4afc649b86901b4a592e6265f1 | 530 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex08_rotation_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex08_rotation_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex08_rotation_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import pytest
from ch04_strings.solutions.ex08_rotation import contains_rotation
@pytest.mark.parametrize("str1, str2, expected",
[("ABCD", "ABC", True),
("ABCDEF", "EFAB", True)... | 31.176471 | 66 | 0.586792 |
3ccd7baa6cc7b1ec212123d7f1913d6a86b74df5 | 5,643 | py | Python | abfahrt/Result.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | 1 | 2022-01-30T14:30:02.000Z | 2022-01-30T14:30:02.000Z | abfahrt/Result.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | abfahrt/Result.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | """
This is Result for registering, saving and printing the output
"""
from typing import List
# This module provides runtime support for type hints. The most fundamental support consists of the types Any, Union, Callable, TypeVar, and Generic. For a full specification, please see PEP 484. For a simplified introduc... | 34.619632 | 483 | 0.615807 |
ab7c7dc1036b67eb2cdce2c0eea96c546bc7b804 | 1,550 | py | Python | analysis/scripts/project_functions.py | data301-2021-summer2/project-group52-project | ecca18dc94ae0283af954466cd6f2434d369732f | [
"MIT"
] | null | null | null | analysis/scripts/project_functions.py | data301-2021-summer2/project-group52-project | ecca18dc94ae0283af954466cd6f2434d369732f | [
"MIT"
] | 2 | 2021-08-14T22:20:20.000Z | 2021-08-16T07:59:06.000Z | analysis/scripts/project_functions.py | data301-2021-summer2/project-group52-project | ecca18dc94ae0283af954466cd6f2434d369732f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
## Task 2. Method Chaining and writing Python programs (10%)¶
import pandas as pd
import numpy as np
def load_and_process(url_or_path_to_csv_file):
# Method Chain 1 (Load data and deal with missing data)
df1 = (
pd.read_csv(url_or_p... | 32.291667 | 113 | 0.605806 |
05824bcddb177424fee41f8deb88182599e0714f | 556 | py | Python | day05/fizzBuzz.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | day05/fizzBuzz.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | day05/fizzBuzz.py | nurmatthias/100DaysOfCode | 22002e4b31d13e6b52e6b9222d2e91c2070c5744 | [
"Apache-2.0"
] | null | null | null | #Write your code below this row 👇
# Erster Versuch
for number in range(1, 101):
output = ""
if number % 3 == 0:
output += "Fizz"
if number % 5 == 0:
output += "Buzz"
if output == "":
output = number
print(output)
print("--------------------------------------")
# Zweite... | 19.172414 | 47 | 0.476619 |
fd1ef9180c0398f1fe200617e4f7a3e87c1963b4 | 2,105 | py | Python | zer0pts/2021/crypto/janken_vs_yoshiking/server.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | zer0pts/2021/crypto/janken_vs_yoshiking/server.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | zer0pts/2021/crypto/janken_vs_yoshiking/server.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | import random
import signal
from flag import flag
from Crypto.Util.number import getStrongPrime, inverse
HANDNAMES = {
1: "Rock",
2: "Scissors",
3: "Paper"
}
def commit(m, key):
(g, p), (x, _) = key
r = random.randint(2, p-1)
c1 = pow(g, r, p)
c2 = m * pow(g, r*x, p) % p
return (c1, c2... | 24.764706 | 77 | 0.560095 |
1ff6f5cc518f7f39c66b63b2ec25ac4989e2e7d3 | 2,307 | py | Python | sun_dataset/sun_dataset.py | JugendForscht-CoLoS/SunDetection-NeuralNetwork | 139bcc314cf6b5b84a82b08fda8b1e4455f7cf93 | [
"MIT"
] | 4 | 2021-02-26T15:47:28.000Z | 2021-03-04T16:46:00.000Z | sun_dataset/sun_dataset.py | JugendForscht-CoLoS/SunDetection-NeuralNetwork | 139bcc314cf6b5b84a82b08fda8b1e4455f7cf93 | [
"MIT"
] | null | null | null | sun_dataset/sun_dataset.py | JugendForscht-CoLoS/SunDetection-NeuralNetwork | 139bcc314cf6b5b84a82b08fda8b1e4455f7cf93 | [
"MIT"
] | 1 | 2021-02-24T13:01:21.000Z | 2021-02-24T13:01:21.000Z |
import tensorflow_datasets as tfds
import os
# TODO(sun_dataset): Markdown description that will appear on the catalog page.
_DESCRIPTION = """
Description is **formatted** as markdown.
It should also contain any processing which has been applied (if any),
(e.g. corrupted example skipped, images cropped,..... | 33.434783 | 101 | 0.620286 |
2f723f7d3dffe72fcfaff59a1d363903bbf503cd | 938 | py | Python | ETL/etl-framework-master (5)/etl-framework-master/Python ETL Scripts/QueryDatabaseAndWriteFile.py | DIBASSI/ZEUS | e5cc995dc232813636850e961e2a7bb8d1443a45 | [
"MIT"
] | null | null | null | ETL/etl-framework-master (5)/etl-framework-master/Python ETL Scripts/QueryDatabaseAndWriteFile.py | DIBASSI/ZEUS | e5cc995dc232813636850e961e2a7bb8d1443a45 | [
"MIT"
] | null | null | null | ETL/etl-framework-master (5)/etl-framework-master/Python ETL Scripts/QueryDatabaseAndWriteFile.py | DIBASSI/ZEUS | e5cc995dc232813636850e961e2a7bb8d1443a45 | [
"MIT"
] | null | null | null | ##Author: Bob Wakefield
##Contact: bob@MassStreet.net
##Date Created: 1May19
##Description: Queries database and writes file
##Modification log:
import sys
import pandas as pd
import pyodbc as db
#Constants used to process data files
#Exsiting paths are examples only!
kFileDestination = 'C:/InterfaceAndExtractFiles... | 22.878049 | 100 | 0.720682 |
f19ab9cc4fab06090fccbfa03d8a52ff9996070e | 4,798 | py | Python | cogs/mc.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | 1 | 2021-04-21T09:01:26.000Z | 2021-04-21T09:01:26.000Z | cogs/mc.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | null | null | null | cogs/mc.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | null | null | null | from discord.ext import commands
import discord
import requests
class Mc(commands.Cog):
def __init__(self, client):
self.client = client
self.base_url = "https://api.mcsrvstat.us/2/"
@commands.command(name="mc")
async def mc_command(self, ctx, option=None, arg1=None):
if option i... | 45.695238 | 121 | 0.491038 |
9e9481ffdd7cc29307362762e04d8b9ef8312ba1 | 663 | py | Python | Packs/Jask/Integrations/Jask/Jask_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Jask/Integrations/Jask/Jask_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Jask/Integrations/Jask/Jask_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
DATE_WITHOUT_MS = '2019-05-03T03:01:54'
DATE_WITH_MS = '2019-05-03T03:02:54.123'
def init_integration(mocker):
mocker.patch.object(demisto, 'params', return_value={
'URL': 'mock.com'
})
def test_fetch_incidents(mocker):
init_integration(mocker)
import Jask
... | 22.862069 | 57 | 0.595777 |
c8aa697d1d3047901bf26195b01aed483eafa372 | 215 | py | Python | system calls/system_call.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | 1 | 2019-04-07T23:14:29.000Z | 2019-04-07T23:14:29.000Z | system calls/system_call.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | system calls/system_call.py | karinakozarova/Learning-Python | 217dfc8ca6931a238445daf0b84e188c02916c52 | [
"MIT"
] | null | null | null | import os
from subprocess import call
if __name__ == "__main__":
user_input = input("Which system function should I call? ")
os.system(user_input) # first way
print("")
call(user_input) # second way | 26.875 | 63 | 0.693023 |
574792b07404045ae95a6015ffb3abd185cbd925 | 591 | py | Python | flaskblog/app/models.py | john526/Flask | 02e48871bc8a48b6de8eca95f88967fe9349f058 | [
"MIT"
] | null | null | null | flaskblog/app/models.py | john526/Flask | 02e48871bc8a48b6de8eca95f88967fe9349f058 | [
"MIT"
] | null | null | null | flaskblog/app/models.py | john526/Flask | 02e48871bc8a48b6de8eca95f88967fe9349f058 | [
"MIT"
] | null | null | null | from app import db
class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(64), index=True,unique=True)
email = db.Column(db.String(120), index=True, unique=True)
password_hash = db.Column(db.String(128))
def __repr__(self):
return "<User {} > :... | 21.888889 | 88 | 0.705584 |
199dbba6ec49ec1ea710916af0cba3ec4be997b3 | 1,662 | py | Python | AP_SS16/402/python/old/table.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 3 | 2016-04-27T17:07:00.000Z | 2022-02-02T15:43:15.000Z | AP_SS16/402/python/old/table.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 5 | 2016-04-27T17:10:03.000Z | 2017-06-20T14:54:20.000Z | AP_SS16/402/python/old/table.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | null | null | null | import itertools
import numpy as np
import uncertainties.unumpy as unp
from uncertainties.unumpy import (
nominal_values as noms,
std_devs as stds,
)
def make_table(columns, filename, figures=None):
assert hasattr(columns[0], '__iter__'), "Wenn nur eine Zeile von Daten vorliegt, funktioniert zip nicht me... | 31.961538 | 211 | 0.580024 |
e321298034c4b8dcb3b40971797a88c7cc8e3521 | 458 | py | Python | stphohapp/urls.py | itechtian/stphoh | 5a778deece3a690e0ec92c799b0b87ba26f1892c | [
"MIT"
] | null | null | null | stphohapp/urls.py | itechtian/stphoh | 5a778deece3a690e0ec92c799b0b87ba26f1892c | [
"MIT"
] | null | null | null | stphohapp/urls.py | itechtian/stphoh | 5a778deece3a690e0ec92c799b0b87ba26f1892c | [
"MIT"
] | null | null | null | from django.urls import path
from .views import admin_view, hiv_test, add_result, delete, patientinfo
urlpatterns = [
path('admin_view', admin_view, name="adminview"),
path('delete/<int:patient_id>', delete, name="delete"),
path('hiv_test', hiv_test, name="hiv_test"),
path('<int:patient_id>/patien... | 38.166667 | 93 | 0.703057 |
ef00331a79087361c8bb0de6f96a459d87c73a14 | 63 | py | Python | source/pkgsrc/emulators/dynagen/files/__init__.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/emulators/dynagen/files/__init__.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/emulators/dynagen/files/__init__.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | __all__ = ['configobj', 'console', 'dynamips_lib', 'validate']
| 31.5 | 62 | 0.68254 |
324ec81ee0bf31f4550f15bb036ef9c45a1470c6 | 573 | py | Python | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_LinReg.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_LinReg.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 4_DeepLearning-Advanced/Verbesserung der Netzwerke/TaxiFahrten/Taxi_LinReg.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from Taxi_Data import TAXIROUTING
excel_file_path = os.path.abspath("../DeepLearning/data/Taxi/TaxiData.xlsx")
taxi_data = TAXIROUTING(excel_file_path=excel_file_path)
x_train, y_train = taxi_data.x_train,... | 30.157895 | 76 | 0.818499 |
329386faeb78d479dff18532bb6f280ebbf18ab7 | 881 | py | Python | src/server/middleware/ui.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 156 | 2021-11-19T18:50:14.000Z | 2022-03-31T19:48:59.000Z | src/server/middleware/ui.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 30 | 2021-12-27T19:30:56.000Z | 2022-03-30T17:49:00.000Z | src/server/middleware/ui.py | monosidev/monosi | a88b689fc74010b10dbabb32f4b2bdeae865f4d5 | [
"Apache-2.0"
] | 14 | 2022-01-17T23:24:34.000Z | 2022-03-29T09:27:47.000Z | import os
import sys
from flask import send_from_directory
curr_path = os.path.dirname(os.path.abspath(__file__))
src_path = os.path.abspath(os.path.join(curr_path, "../"))
def _build_path():
build_path = os.path.join(src_path, 'ui/build/')
if not os.path.exists(build_path):
raise Exception("Client U... | 27.53125 | 88 | 0.696935 |
f5c08b2d98799636c3ce99a4c7c326dbdb944129 | 2,214 | py | Python | Liter_Server/Massage.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/Massage.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/Massage.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | from PIL import Image
from io import BytesIO
import threading
import requests
import sqlite3
import time
import os
import re
new_url = {}
def download(url: str, pos: int):
response = requests.get(url) # 请求图片
image = Image.open(BytesIO(response.content)) # 读取网络图片
new_url[pos] = url+'@{}x{}'.format(imag... | 29.131579 | 134 | 0.599368 |
f5dfb90af7f0a8dfb85a001bfba6f9fe0c7daab6 | 360 | py | Python | benwaonline/schemas/image_schema.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | benwaonline/schemas/image_schema.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | 16 | 2017-09-13T10:21:40.000Z | 2020-06-01T04:32:22.000Z | benwaonline/schemas/image_schema.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | from marshmallow_jsonapi import fields
from benwaonline.schemas import BaseSchema
class ImageSchema(BaseSchema):
id = fields.String()
filepath = fields.Str()
created_on = fields.DateTime()
class Meta:
type_ = 'images'
self_url = '/api/images/{id}'
self_url_kwargs = {'id': '<id>... | 27.692308 | 42 | 0.65 |
deb89da94ebb7ceeab4826aab091b3b5ededdf3b | 17,210 | py | Python | Templates/Integrations/AnalyticsAndSIEM/AnalyticsAndSIEM.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Templates/Integrations/AnalyticsAndSIEM/AnalyticsAndSIEM.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Templates/Integrations/AnalyticsAndSIEM/AnalyticsAndSIEM.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
''' IMPORTS '''
from typing import Dict, Tuple, List, Optional, Union, AnyStr
import urllib3
"""Example for Analytics and SIEM integration
"""
# Disable insecure warnings
urllib3.disable_warnings()
"""GLOBALS/PARAMS
A... | 35.411523 | 115 | 0.646078 |
19f51336043a9cc6886518ead789c85223a20496 | 48 | py | Python | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/06.3.Input-char-2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/06.3.Input-char-2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/00.Fundamentals/06.3.Input-char-2.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | ch = input("Enter a character: ")[0]
print(ch)
| 12 | 36 | 0.625 |
26f8c12508fb49b6dfb739985c6a7aaa88194876 | 2,369 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumo.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2020-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 35.358209 | 77 | 0.656395 |
3e8af260d7d2fbfd287e121dd3aad3ccafd7e9c1 | 822 | py | Python | elements/python/10/13/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/10/13/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/10/13/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | class Node(object):
def __init__(self, v, l=None, r=None):
self.value = v
self.left = l
self.right = r
def __str__(self):
return '({} {} {})'.format(
self.left, self.value, self.right,
).replace('None', '')
def reconstruct(preorder):
stack =... | 22.833333 | 66 | 0.482968 |
39d46863fb721338899095e20779a19ebfd65c2f | 343 | py | Python | Packs/AttachmentsPreProcessing/Scripts/CreateFileFromPathObject/CreateFileFromPathObject.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/AttachmentsPreProcessing/Scripts/CreateFileFromPathObject/CreateFileFromPathObject.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/AttachmentsPreProcessing/Scripts/CreateFileFromPathObject/CreateFileFromPathObject.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
obj = json.loads(demisto.args()["object"])
for attachment in obj:
filePath = demisto.getFilePath(attachment["path"])["path"]
with open(filePath, 'rb') as f:
data = f.read()
demisto.results(fileResult(atta... | 34.3 | 62 | 0.6793 |
f2a13ea8ef9297e6862edca314d73f0ecc0eee7c | 554 | py | Python | practices/practice_2/motor_specs.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | practices/practice_2/motor_specs.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | practices/practice_2/motor_specs.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | import numpy as np
# 35 turns motor
milli = 10**(-3)
centi = 10**(-2)
motor_properties = {
"J_m, rotor inertia (g*cm^2)": 268 * milli * centi**2,
"K_m, torque constant (N*M/A)": 0.23,
"B_m, nominal friction": 0.3,
"t_l, torque load (N*M)": 0
}
J = motor_properties['J_m, rotor inertia (g*cm^2)']
K_m =... | 23.083333 | 59 | 0.592058 |
8a20389cb3665b4905d205ddff3f29a1070bbf15 | 2,524 | py | Python | hardware/chip/espressif_esp32/esp-idf/components/esptool_py/esptool/flasher_stub/compare_stubs.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 40 | 2019-06-04T23:28:40.000Z | 2022-03-28T06:12:35.000Z | hardware/chip/espressif_esp32/esp-idf/components/esptool_py/esptool/flasher_stub/compare_stubs.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 139 | 2019-08-19T22:18:22.000Z | 2022-03-28T20:17:53.000Z | hardware/chip/espressif_esp32/esp-idf/components/esptool_py/esptool/flasher_stub/compare_stubs.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 5 | 2020-10-08T17:39:57.000Z | 2022-01-24T22:54:48.000Z | #!/usr/bin/env python
from __future__ import division, print_function
import sys
# Compare the esptool stub loaders to freshly built ones
# in the build directory
#
# (Used by CI to verify the stubs are up to date.)
def verbose_diff(new, old):
for k in ["data_start", "text_start"]:
if new[k] != old[k]:
... | 38.242424 | 105 | 0.645404 |
8a641ce37600618010ef1bf62cc6b14760033be0 | 16,431 | py | Python | etl/clarity2dw/planner.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | etl/clarity2dw/planner.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | etl/clarity2dw/planner.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import asyncio
import logging
import time
import os
import json
import functools
import asyncpg
import sys
from etl.core.engine import Engine
from etl.core.task import Task
from etl.core.plan import Plan
from etl.clarity2dw.extractor import Extractor
from etl.load.pipelines.derive_main import get_derive_seq, get_depen... | 40.670792 | 138 | 0.656625 |
6ae0ff18cd29df273b7a4b5a51cb7ce7f3aa6192 | 2,178 | bzl | Python | tools/build_rules/build_event_stream/repo.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 1,168 | 2015-01-27T10:19:25.000Z | 2018-10-30T15:07:11.000Z | tools/build_rules/build_event_stream/repo.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 2,811 | 2015-01-29T16:19:04.000Z | 2018-11-01T19:48:06.000Z | tools/build_rules/build_event_stream/repo.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 165 | 2015-01-27T19:06:27.000Z | 2018-10-30T17:31:10.000Z | """An external repository for fetching build_event_stream protobufs."""
load("@bazel_skylib//lib:paths.bzl", "paths")
_FILES = [
"src/main/java/com/google/devtools/build/lib/buildeventstream/proto/build_event_stream.proto",
"src/main/protobuf/command_line.proto",
"src/main/protobuf/failure_details.proto",... | 28.657895 | 98 | 0.624426 |
0adf86ca0d92857a78a6eb72df93ebb383c13119 | 9,721 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/slxos_vlan.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/slxos_vlan.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/slxos_vlan.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# (c) 2018 Extreme Networks Inc.
#
# This file is part of Ansible
#
# Ansible 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, either version 3 of the License, or
# (at your option) any late... | 31.358065 | 133 | 0.584096 |
86418d7c96c9556e1cf4b321787cb7dc7fc238bc | 610 | py | Python | 02.Sort/SY/p42839_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 02.Sort/SY/p42839_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 02.Sort/SY/p42839_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | # p42839_SY
import itertools
import math
def is_prime_number(x):
for i in range(2, int(math.sqrt(x)) + 1):
if x % i == 0: return False # 소수 X
return True # 소수 O
def solution(numbers):
answer = 0
nums = []
tmp = []
parts = list(numbers)
length = len(parts)
for i in range(1, le... | 24.4 | 46 | 0.52623 |
813ad07e10dfaa0618959a6fb8c486376e0f6e63 | 1,407 | py | Python | runners/great_expectations/tests/test_job_config.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | runners/great_expectations/tests/test_job_config.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | runners/great_expectations/tests/test_job_config.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | import unittest
import os
import json
from marshmallow import ValidationError
from expectations import ExpectationType
from job_config import JobConfigSchema, JobConfig, DatasetType
RESOURCES_PATH = os.path.join(os.path.dirname(__file__), 'resources', 'job_input')
class JobConfigTest(unittest.TestCase):
def t... | 37.026316 | 96 | 0.719261 |
07b890e477b50c2cc63ac84b93f4b4543bf50d8b | 229 | py | Python | Theories/Algorithms/Recursion1/KthSymbolInGrammar/k_symbol_grammar.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/Algorithms/Recursion1/KthSymbolInGrammar/k_symbol_grammar.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/Algorithms/Recursion1/KthSymbolInGrammar/k_symbol_grammar.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | def kthGrammar(n: int, k: int) -> int:
if k == 1:
return 0
if n == 1:
return 0
if n == 2 and k == 2:
return 1
s = kthGrammar(n - 1, (k + 1) // 2)
return (1 - s) if k % 2 == 0 else s | 17.615385 | 39 | 0.419214 |
9c3972f72de439c3900c60d835a5ea76afa4b902 | 2,957 | py | Python | ladon-server/software/src/python/kafka-file-wrapper/BucketSupervisor.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | 1 | 2018-04-29T22:33:42.000Z | 2018-04-29T22:33:42.000Z | ladon-server/software/src/python/kafka-file-wrapper/BucketSupervisor.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | null | null | null | ladon-server/software/src/python/kafka-file-wrapper/BucketSupervisor.py | LucasRGoes/ladon-io | ab55219b461e918cc0ba45e6cdc9bcdfbce8c0d6 | [
"MIT"
] | null | null | null | ## IMPORTS ##
import logging # Logging: provides a set of convenience functions for simple logging usage
import os # OS: this module provides a portable way of using operating system dependent functionality
import time # Time: provides various time-related functions
from threading import Lock, Th... | 27.37963 | 145 | 0.700372 |
92eb3c610eee7dce608ff266e2ae3b5c5a5c2676 | 11,049 | py | Python | packages/watchmen-storage-mongodb/src/watchmen_storage_mongodb/topic_document_generate.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-storage-mongodb/src/watchmen_storage_mongodb/topic_document_generate.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-storage-mongodb/src/watchmen_storage_mongodb/topic_document_generate.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import List # noqa
from watchmen_model.admin import Factor, FactorType, is_aggregation_topic, is_raw_topic, Topic
from watchmen_model.common import DataModel
from watchmen_model.pipeline_kernel import TopicDataColumnNames
from watchmen_storage import as_table_name, ask_decimal_fraction_digits, ask_decimal... | 49.77027 | 107 | 0.826229 |
13bcac319067f5103c20d623d69cfdc27397120f | 545 | py | Python | ANN/e04/e04.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | ANN/e04/e04.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | ANN/e04/e04.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | from pprint import pprint
from numpy import array, diag, diagflat, dot, linalg
def jacobi(A, b, N, x):
D_ = diagflat(diag(A))
L_U = A - D_
D_ = linalg.inv(D_)
for i in range(N):
x = dot(dot(-D_, L_U), x) + dot(D_, b)
print("X(%d) = " % (i + 1), end="")
print(x)
return x
... | 17.03125 | 52 | 0.495413 |
b9353dc39b27b5ee989b3efb6604bf32d07c5907 | 11,946 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/gcp_compute_instance_group_manager_info.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/gcp_compute_instance_group_manager_info.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/gcp_compute_instance_group_manager_info.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Google
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# ----------------------------------------------------------------------------
#
# *** AUTO GENERATED CODE *** AUTO GENERATED CODE ***
#
... | 35.032258 | 133 | 0.629081 |
6a0fba21a79036d5873079cff6e83cb9f17ae9aa | 1,948 | py | Python | tests/onegov/winterthur/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/winterthur/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/winterthur/conftest.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import pytest
import transaction
from onegov.core.csv import CSVFile
from onegov.core.utils import module_path
from onegov.user import User
from onegov.winterthur import WinterthurApp
from onegov.winterthur.initial_content import create_new_organisation
from pathlib import Path
from sqlalchemy.orm.session import close... | 26.324324 | 75 | 0.723819 |
6a1ee2d7a5253981c03602dcca7f357739f8b4af | 15,201 | py | Python | python-bildungslogin/ucs-test/97_bildungslogin_python/31_cli_metadata_import.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | python-bildungslogin/ucs-test/97_bildungslogin_python/31_cli_metadata_import.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | python-bildungslogin/ucs-test/97_bildungslogin_python/31_cli_metadata_import.py | univention/bildungslogin | 29bebe858a5445dd5566aad594b33b9dd716eca4 | [
"MIT"
] | null | null | null | #!/usr/share/ucs-test/runner /usr/bin/py.test -slvv --cov --cov-config=.coveragerc --cov-append --cov-report=
# -*- coding: utf-8 -*-
#
# Copyright 2021 Univention GmbH
#
# https://www.univention.de/
#
# All rights reserved.
#
# The source code of this program is made available
# under the terms of the GNU Affero Gener... | 37.440887 | 109 | 0.692718 |
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