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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0134094227f2caeed1ede6d6ea96245294f645b1 | 13,843 | py | Python | contrib/0.挖宝行动/youzidata-机坪跑道航空器识别/src/train_yolov3_moxing.py | huaweicloud/ModelArts-Lab | 75d06fb70d81469cc23cd422200877ce443866be | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | contrib/0.挖宝行动/youzidata-机坪跑道航空器识别/src/train_yolov3_moxing.py | huaweicloud/ModelArts-Lab | 75d06fb70d81469cc23cd422200877ce443866be | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | contrib/0.挖宝行动/youzidata-机坪跑道航空器识别/src/train_yolov3_moxing.py | huaweicloud/ModelArts-Lab | 75d06fb70d81469cc23cd422200877ce443866be | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | # Copyright 2018 Deep Learning Service of Huawei Cloud. 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... | 41.821752 | 105 | 0.600448 |
0997e0b3ad9fd1026fc9cfc10dc24d86f85cabfe | 1,194 | py | Python | books/PythonAutomate/excel_spreadsheets/read_census_excel.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/excel_spreadsheets/read_census_excel.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/excel_spreadsheets/read_census_excel.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """read_census_excel.py
스프레드시트에서 데이터 읽기
"""
import openpyxl
import pprint
print("Opening workbook...")
wb = openpyxl.load_workbook("censuspopdata.xlsx")
sheet = wb["Population by Census Tract"]
country_data = {}
# Fill in country_data with each country's population and tracts
print("Reading rows...")
for row in range... | 33.166667 | 68 | 0.70603 |
28f5759df8720ec4a9248b6a89caefd95394286b | 2,509 | py | Python | Packs/McAfee_ESM-v10/Integrations/McAfee_ESM-v10/McAfee_ESM-v10_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/McAfee_ESM-v10/Integrations/McAfee_ESM-v10/McAfee_ESM-v10_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/McAfee_ESM-v10/Integrations/McAfee_ESM-v10/McAfee_ESM-v10_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
import demistomock as demisto
import importlib
integration_params = {
'insecure': 'False',
'version': '10.2',
'credentials': {
'identifier': 'Test',
'password': 'my_password'
},
'time_format': 'auto-discovery',
'timezone': 0,
'ip': '0.0.0.0',
'port': '0000'... | 34.369863 | 115 | 0.545636 |
c90e1331a706819f3bdc3ad28d450f6b7d93afac | 948 | py | Python | Zh3r0/2021/pwn/javascript_for_dummies_part_2/build/release/connect.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | Zh3r0/2021/pwn/javascript_for_dummies_part_2/build/release/connect.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | Zh3r0/2021/pwn/javascript_for_dummies_part_2/build/release/connect.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
import os
import binascii
import re
import subprocess
import signal
def handler(x, y):
sys.exit(-1)
signal.signal(signal.SIGALRM, handler)
signal.alarm(30)
def gen_filename():
return '/tmp/' + binascii.hexlify(os.urandom(16)).decode('utf-8')
EOF = 'zh3r0-CTF'
MAX_SIZE = 10000
... | 20.170213 | 78 | 0.554852 |
c90f5ceb0c4e1e538a14e7ff025cd4882c6d783a | 4,916 | py | Python | plugins/tff_backend/dal/investment_agreements.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | null | null | null | plugins/tff_backend/dal/investment_agreements.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 178 | 2017-08-02T12:58:06.000Z | 2017-12-20T15:01:12.000Z | plugins/tff_backend/dal/investment_agreements.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... | 45.100917 | 118 | 0.748373 |
c92d0ded8504ea1101fcf580bb7628513590124d | 3,395 | py | Python | src/bo4e/bo/zaehler.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/bo/zaehler.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/bo/zaehler.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains Zaehler class
and corresponding marshmallow schema for de-/serialization
"""
from datetime import datetime
from decimal import Decimal
from typing import List, Optional
import attr
from marshmallow import fields
from marshmallow_enum import EnumField # type:ignore[import]
from bo4e.bo.geschaeftsobjekt i... | 39.476744 | 168 | 0.761414 |
6e7ff51a265d3af8113ad2447b152eb07b8f270b | 3,114 | py | Python | src/test/tests/databases/GDAL.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/databases/GDAL.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/databases/GDAL.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: GDAL.py
#
# Tests: mesh - 2D structured, 3D unstructured
# plots - Contour, Pseudocolor
#
# Programmer: Brad Whitlock
# Date: Thu Sep 8 16:35:17 PST 2005
#
# Modificat... | 29.102804 | 78 | 0.625883 |
6e01426a91242e8143e90445ddbb0add09b1b3ce | 1,031 | pyde | Python | sketches/sidescroller1/sidescroller1.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/sidescroller1/sidescroller1.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/sidescroller1/sidescroller1.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | # Side Scroller 1
from backgrounds import Hill, Cloud
from sprites import Alien
FPS = 60
clouds = []
bighills = []
smallhills = []
sprites = []
def setup():
size(800, 450)
this.surface.setTitle("Side Scroller 1")
clouds.append(Cloud(400, -1))
for i in range(3):
bighills.append(Hill(i*400, 200... | 22.911111 | 58 | 0.590689 |
256d329cc93625c20a4d63565c5551199d2b01fa | 2,523 | py | Python | research/cv/SRGAN/src/dataset/testdataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/SRGAN/src/dataset/testdataset.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/SRGAN/src/dataset/testdataset.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... | 37.656716 | 113 | 0.620293 |
6c52365b5c50ddc800191e752776e3e63c18e871 | 522 | py | Python | libs/common.py | tschitschable/surelock | a93c7e9eae73d9534edc23d86ccca888f8435c46 | [
"MIT"
] | null | null | null | libs/common.py | tschitschable/surelock | a93c7e9eae73d9534edc23d86ccca888f8435c46 | [
"MIT"
] | 2 | 2019-10-15T19:07:33.000Z | 2019-10-30T14:05:10.000Z | libs/common.py | tschitschable/surelock | a93c7e9eae73d9534edc23d86ccca888f8435c46 | [
"MIT"
] | 1 | 2019-10-14T16:28:07.000Z | 2019-10-14T16:28:07.000Z | #!/usr/bin/env python
import getpass
def get_master_pass(text="Type your passphrase: "):
# text: The default text to show the user while asking for password
secret = getpass.getpass("{}".format(text))
secret_validate = getpass.getpass("Retype your passphrase: ")
if secret != secret_validate:
p... | 30.705882 | 71 | 0.687739 |
c6f266ec02f306c808a682980a37fc72ef57828b | 1,619 | py | Python | test/test_npu/test_network_ops/test_copy_repoint.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_copy_repoint.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_copy_repoint.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... | 36.795455 | 82 | 0.675726 |
3cad7f89805cdf113a553e3ecb2d53dd50350255 | 4,731 | py | Python | aas_chronik_scraper.py | WZBSocialScienceCenter/aas-chronik-scraper | ed18ca22149616185825c7f38b4317ce20323be7 | [
"Apache-2.0"
] | null | null | null | aas_chronik_scraper.py | WZBSocialScienceCenter/aas-chronik-scraper | ed18ca22149616185825c7f38b4317ce20323be7 | [
"Apache-2.0"
] | null | null | null | aas_chronik_scraper.py | WZBSocialScienceCenter/aas-chronik-scraper | ed18ca22149616185825c7f38b4317ce20323be7 | [
"Apache-2.0"
] | null | null | null | """
Web-Scraper für Chronik von antisemitischen Vorfällen erstellt von der Amadeu Antonio Stiftung und publiziert unter
https://www.amadeu-antonio-stiftung.de/chronik/.
Autor: Markus Konrad <markus.konrad@wzb.eu>
Datum: 2. Sept. 2020
"""
from time import sleep
import os
import json
import requests
from bs4 import Be... | 29.385093 | 115 | 0.632213 |
a702261dd0b4a0b72733e26dc71bfc6dd9cd4f80 | 765 | py | Python | writeRfid.py | machigattan/Wortschatz | 171ba76bebdfd5feaa41e3aa0d07d73988c72c9a | [
"MIT"
] | null | null | null | writeRfid.py | machigattan/Wortschatz | 171ba76bebdfd5feaa41e3aa0d07d73988c72c9a | [
"MIT"
] | null | null | null | writeRfid.py | machigattan/Wortschatz | 171ba76bebdfd5feaa41e3aa0d07d73988c72c9a | [
"MIT"
] | null | null | null |
import sys
import RPi.GPIO as GPIO
#https://github.com/pimylifeup/MFRC522-python A python library to read/write RFID tags via the budget MFRC522 RFID module.
from mfrc522 import SimpleMFRC522
# sys.argv[0] is reserved for the filepath!!! 1 is an array of the things u pass on!! remeeeeember
new_word = sys.argv[1]
r... | 21.25 | 122 | 0.696732 |
596bc93a85f028286775f20f0cec02086c4c2614 | 648 | py | Python | sysopt.py | WhiteMoscou/Adm3 | 24cbccafd31b2cec1d355b6e8714da88a0a4cc6e | [
"Unlicense"
] | null | null | null | sysopt.py | WhiteMoscou/Adm3 | 24cbccafd31b2cec1d355b6e8714da88a0a4cc6e | [
"Unlicense"
] | null | null | null | sysopt.py | WhiteMoscou/Adm3 | 24cbccafd31b2cec1d355b6e8714da88a0a4cc6e | [
"Unlicense"
] | null | null | null | from tkinter import *
from tkinter import messagebox
win_sysopt = Tk()
win_sysopt.title("Adm3 V.1.0.0 - Opções do sistema")
largura_screen = win_sysopt.winfo_screenwidth()
altura_screen = win_sysopt.winfo_screenheight()
largura = 1500
altura = 800
posx = largura_screen/2 - largura/2
posy = altura_screen/2 - altura/... | 21.6 | 72 | 0.712963 |
05584c3df95d5dc0efa96f7e7b8d58805a853550 | 92 | py | Python | Algorithms/Implementation/utopian_tree.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Algorithms/Implementation/utopian_tree.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Algorithms/Implementation/utopian_tree.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | for i in range(int(input())):
n = int(input())
print( ~ ( ~ 1 << (n >> 1)) << n % 2) | 30.666667 | 41 | 0.413043 |
55326dd22d886bc08885ea74c658148ed713cb79 | 81 | py | Python | dataset/utils/config.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | dataset/utils/config.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | dataset/utils/config.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | """ 训练时数据加载的配置文件
@Author: Bao Wenjie
@Email: bwj_678@qq.com
@Date: 2020/10/30
""" | 16.2 | 22 | 0.691358 |
348ce86305c4fe4ca4a718f8e82098bfa2ce8bd8 | 924 | py | Python | tests/re_slow_testcase.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | tests/re_slow_testcase.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | tests/re_slow_testcase.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""This testcase exposes a performance bug in the `re`-module of
the python standard-library:
>>> import re, timeit
>>> rx = re.compile('(\\s*(#.*)?\\s*)*X')
>>> print(timeit.timeit("rx.match(' # ')", number=1, globals=globals()))
24.814577618999465
>>> print(timeit.timeit("rx.match... | 25.666667 | 86 | 0.561688 |
1fd411b39a0165a5fe1edc84f51c6f36e0f8d48a | 73 | py | Python | Online-Judges/CodingBat/Python/Warmup-01/07-near_hundred.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/CodingBat/Python/Warmup-01/07-near_hundred.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/CodingBat/Python/Warmup-01/07-near_hundred.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def near_hundred(n):
return (abs(100-n) <= 10) or (abs(200-n) <= 10)
| 24.333333 | 51 | 0.575342 |
c07c59ff5151b1aa862deaacf6191745b931f6d9 | 10,903 | py | Python | rtm.py | Alpacow/Reverse-TM | 43f4a226454471093abcedf638f0d27457810c3c | [
"MIT"
] | null | null | null | rtm.py | Alpacow/Reverse-TM | 43f4a226454471093abcedf638f0d27457810c3c | [
"MIT"
] | null | null | null | rtm.py | Alpacow/Reverse-TM | 43f4a226454471093abcedf638f0d27457810c3c | [
"MIT"
] | null | null | null | class Rtm:
nStates = 0
nInput = 0
nTape = 0
nTransitions = 0
states = []
alphaInput = []
alphaTape = []
transitions = []
moveT = [] # guarda apenas transições de escrita
writeT = []
input = []
inputTape = []
historyTape = []
outputTape = []
head = 0 # posica... | 44.502041 | 142 | 0.578006 |
23fadf139c492021a68eccf36e4f212991f3fe9d | 806 | py | Python | PMIa/2014/danilov_d_a/task_4_6.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/danilov_d_a/task_4_6.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/danilov_d_a/task_4_6.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача 4. Вариант 6.
#Напишите программу, которая выводит имя, под которым скрывается София Шиколоне. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хранения всех необходимы... | 50.375 | 435 | 0.775434 |
f1986b440277a791b19e72e1ad22104ab8123543 | 1,008 | py | Python | ___Python/RomanS/untitled/p02_listen/m02_woerterbuecher.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p02_listen/m02_woerterbuecher.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p02_listen/m02_woerterbuecher.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | # Wörterbuch, Dictionary
d= {"Tisch": "table",
"Stuhl": "chair",
"Schreibtisch": "desk"}
# Aus einem Wörterbuch einen Wert anhand eines Schlüssels ermitteln:
#print(d["Stuhl"])
deutsch = input("Deutsches Wort?")
print("Du hast eingegeben:" + deutsch)
# Ansatz 1: LBYL (Look Before You Leap)
if... | 22.909091 | 81 | 0.666667 |
c8cf8b5f27d9b259f8366b9afc05788edd11a130 | 1,951 | py | Python | solutions/im2recipe/src/recipe2embed.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-01-11T18:40:22.000Z | 2021-01-11T18:40:22.000Z | solutions/im2recipe/src/recipe2embed.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/im2recipe/src/recipe2embed.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | import time
import torch
import torch.nn as nn
import torch.nn.parallel
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import torchvision.models as models
import torch.backends.cudnn as cudnn
from src.data_loader import RecipeLoader
import numpy as np
from src.trijoint... | 25.337662 | 92 | 0.661199 |
b5a557c954f7ffcfac3e95e53e6b6c6056754ee5 | 486 | py | Python | my_lda2.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | my_lda2.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | my_lda2.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# 中文注释
import lda
import matplotlib.pyplot as plt
X = lda.datasets.load_reuters()
titles = lda.datasets.load_reuters_titles()
X_train = X[10:]
X_test = X[:10]
titles_test = titles[:10]
model = lda.LDA(n_topics=20, n_iter=1500, random_state=1)
model.fit(X_train)
doc_topic_test = model.transform... | 24.3 | 62 | 0.718107 |
8d767f25e57b01481ab11e35426ede8a33888eed | 5,891 | py | Python | LibMS/libapp/migrations/0002_auto_20210418_2156.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | 2 | 2021-05-31T13:11:50.000Z | 2021-06-05T04:37:51.000Z | LibMS/libapp/migrations/0002_auto_20210418_2156.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | null | null | null | LibMS/libapp/migrations/0002_auto_20210418_2156.py | StephenWayen/LibMS | df6078a8171f77b75f2ad3ac91e9747ef753d2a6 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2021-04-18 21:56
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('libapp', '0001_initial'),
]
operations = [
migrations.AddField(
mo... | 36.590062 | 152 | 0.558649 |
5706dad740564e57ae8f4db236542fa4a5a33aec | 467 | py | Python | 011-C107-DataAnalysis/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | 2 | 2021-09-28T13:55:20.000Z | 2021-11-15T10:08:49.000Z | 011-C107-DataAnalysis/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | null | null | null | 011-C107-DataAnalysis/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | 1 | 2022-01-20T03:02:20.000Z | 2022-01-20T03:02:20.000Z | # 011-C107-DataAnalysis
# This is a python script made by @somePythonProgrammer
# for a WhiteHat Junior project.
import pandas as pd
import plotly.express as px
df = pd.read_csv('011-C107-DataAnalysis/csv/data.csv')
mean_attempts = df.groupby(["student_id", "level"], as_index=False)["attempt"].mean()
plot = px.scatte... | 38.916667 | 94 | 0.751606 |
572585c43dc9a765903d8438ca9123331e76d20e | 12,670 | py | Python | AP_SS16/US1/PythonSkript.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 3 | 2016-04-27T17:07:00.000Z | 2022-02-02T15:43:15.000Z | AP_SS16/US1/PythonSkript.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | 5 | 2016-04-27T17:10:03.000Z | 2017-06-20T14:54:20.000Z | AP_SS16/US1/PythonSkript.py | DimensionalScoop/kautschuk | 90403f97cd60b9716cb6a06668196891d5d96578 | [
"MIT"
] | null | null | null | ##################################################### Import system libraries ######################################################
import matplotlib as mpl
mpl.rcdefaults()
mpl.rcParams.update(mpl.rc_params_from_file('meine-matplotlibrc'))
import matplotlib.pyplot as plt
import numpy as np
import scipy.constants as c... | 41.677632 | 154 | 0.603788 |
9e022327700f0a3932f033c3f587f907a5068b3b | 356 | py | Python | MazeSolving/Solver/Maze.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 5 | 2018-02-06T22:48:34.000Z | 2020-01-07T20:19:05.000Z | MazeSolving/Solver/Maze.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 11 | 2018-01-31T21:47:49.000Z | 2018-04-21T16:42:52.000Z | MazeSolving/Solver/Maze.py | Thukor/MazeSolver | c953e193ce27a7348e8ec9c5592144426dfce193 | [
"MIT"
] | 2 | 2020-06-18T05:40:03.000Z | 2022-02-02T03:46:30.000Z | import networkx as nx
class Maze:
def __init__(self):
self.graph = nx.DiGraph()
def add_cell(self, cell):
coordinate = (cell.row, cell.column)
self.graph.add_node(coordinate)
def add_edge(self, cell1, cell2):
coordinate1 = (cell1.row, cell1.column)
coordinate2 = (cell2.row, cell2.column)
self.grap... | 20.941176 | 47 | 0.72191 |
7e1194462fcc9124799e9a70278b768c8bbfbcae | 618 | py | Python | dash/forms.py | bdioui/DashboardFeder | 455737c828f1c04651af495f60d6637131b911f5 | [
"MIT"
] | null | null | null | dash/forms.py | bdioui/DashboardFeder | 455737c828f1c04651af495f60d6637131b911f5 | [
"MIT"
] | null | null | null | dash/forms.py | bdioui/DashboardFeder | 455737c828f1c04651af495f60d6637131b911f5 | [
"MIT"
] | null | null | null | from django.forms import ModelForm
from django.contrib.auth.forms import UserCreationForm
from django import forms
from django.contrib.auth.models import User
from .models import Profile, Enveloppe
class CreateUserForm(UserCreationForm):
class Meta:
model = User
fields = ['username', 'email', 'password1', 'pass... | 22.888889 | 58 | 0.754045 |
8b6f75dd30e7c0074f4ebef6fccc693db3cb6126 | 1,381 | py | Python | AutosClasificados/core/migrations/0001_initial.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | AutosClasificados/core/migrations/0001_initial.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | AutosClasificados/core/migrations/0001_initial.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-10-10 20:42
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Articu... | 41.848485 | 182 | 0.604634 |
8baffaf0abc0c3d806c174dc7eb3e048d1766185 | 457 | py | Python | 49-group-anagrams/49-group-anagrams.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 49-group-anagrams/49-group-anagrams.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 49-group-anagrams/49-group-anagrams.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
anagram=dict()
for word in strs:
wordkey=""
for c in sorted(set(word)):
wordkey+=c+str(word.count(c))
if wordkey in anagram:
anagram[wordkey].append(word)
... | 35.153846 | 64 | 0.485777 |
47e5a49005a32476fb2698659579416a708fe42f | 5,126 | py | Python | official/cv/MCNN/src/mcnn.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/MCNN/src/mcnn.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/MCNN/src/mcnn.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... | 42.716667 | 114 | 0.542918 |
d0dff5230d92a827ef3bc901188436c343bb503f | 1,151 | py | Python | opencv_tutorial/opencv3_youtube/prog09.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv3_youtube/prog09.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv3_youtube/prog09.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 25 16:02:19 2019
@author: jone
"""
import cv2
import numpy as np
def main():
# 0 : 검은색 이미지(512 x 512)
img1 = np.zeros((512, 512, 3), np.uint8)
# 원그리기
# params : 원본, 점1, 점2, 선색, 두께
cv2.line(img1, (0, 99), (99, 0), (255, 0, 0), 2)
# 사각형
... | 25.577778 | 87 | 0.509123 |
4bec821202132fac67b4716a7c014731e7dea8a3 | 942 | py | Python | oldp/apps/laws/management/commands/set_law_book_order.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/laws/management/commands/set_law_book_order.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/laws/management/commands/set_law_book_order.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | import logging
from django.core.management import BaseCommand
from oldp.apps.laws.models import LawBook
LAW_BOOK_ORDER = {
'bgb': 10,
'agg': 9,
'bafog': 9,
}
# Get an instance of a logger
logger = logging.getLogger(__name__)
class Command(BaseCommand):
help = 'Assign predefined order values to la... | 22.428571 | 70 | 0.600849 |
327dda3c373a16b16b5485ed2a765b634fce92fb | 273 | py | Python | Algorithms/Sorting/InsertionSort1.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Sorting/InsertionSort1.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | Algorithms/Sorting/InsertionSort1.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
size = int(raw_input())
arr = raw_input().split()
e = arr[-1]
for i in xrange(size-1, -1, -1):
if i == 0 or arr[i-1] <= e:
arr[i] = e
print ' '.join(arr)
break
else:
arr[i] = arr[i-1]
print ' '.join(arr)
| 17.0625 | 32 | 0.461538 |
de19625236a537e6e1a6be78188953ecf5529b60 | 2,178 | py | Python | gemtown/gems/migrations/0001_initial.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | gemtown/gems/migrations/0001_initial.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | 5 | 2020-09-04T20:13:39.000Z | 2022-02-17T22:03:33.000Z | gemtown/gems/migrations/0001_initial.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.13 on 2019-04-20 06:10
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='BonusGem',
fields=[
('id', models.AutoFiel... | 35.129032 | 114 | 0.522957 |
deb0dbe1b5b65728de2063ce38c6a60bfe61b1b0 | 711 | py | Python | seperate_abstracts_clean2/seperate_file.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | seperate_abstracts_clean2/seperate_file.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | seperate_abstracts_clean2/seperate_file.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null |
fout_name = open('file_name.txt', 'wb')
fout_abstracts = open('abstracts.txt', 'wb')
with open('../abstracts_clean2.txt', 'r') as f:
count = 0
file_name_record = f.readline()
abstract_record = f.readline()
while file_name_record.strip() != '':
count += 1
print count
if abstract... | 29.625 | 53 | 0.651195 |
e4569c79cabf8988134014d9f2ddcba283e4808d | 203 | py | Python | DataStructures/LinkedList/ReverseDoubly.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/ReverseDoubly.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/LinkedList/ReverseDoubly.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
import copy
def Reverse(head):
cur = head
prev = None
while cur:
cur.next, cur.prev = cur.prev, cur.next
prev = cur
cur = cur.prev
return prev
| 15.615385 | 47 | 0.551724 |
4b8ba0f1c5fa8f4f0cb58e5c0a032409511c2338 | 135 | py | Python | src/onegov/translator_directory/models/voucher.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/models/voucher.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/models/voucher.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.file import File
class TranslatorVoucherFile(File):
__mapper_args__ = {'polymorphic_identity': 'translator_voucher'}
| 22.5 | 68 | 0.792593 |
4b951573d0ccf72a738505682b6876615cc48961 | 1,016 | py | Python | src/onegov/pay/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/pay/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/pay/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger('onegov.pay') # noqa
log.addHandler(logging.NullHandler()) # noqa
from onegov.pay.errors import CARD_ERRORS
from onegov.pay.models import ManualPayment
from onegov.pay.models import Payable
from onegov.pay.models import PayableManyTimes
from onegov.pay.models import Payment
fro... | 29.028571 | 71 | 0.775591 |
4bbc7067b140942d933892ba88879236913e0632 | 1,416 | py | Python | extender/darkstar.proxy/impl/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 2 | 2020-03-18T18:23:27.000Z | 2020-08-02T15:59:16.000Z | extender/darkstar.proxy/impl/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 5 | 2019-07-07T16:47:47.000Z | 2020-08-10T16:20:00.000Z | extender/darkstar.proxy/impl/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 1 | 2020-03-18T18:23:30.000Z | 2020-03-18T18:23:30.000Z | import os
from conans import ConanFile, CMake, MSBuild, tools
# conan install . --profile ./local-profile.ini
gcc = "https://github.com/brechtsanders/winlibs_mingw/releases/download/10.3.0-12.0.0-9.0.0-r2/winlibs-i686-posix-dwarf-gcc-10.3.0-llvm-12.0.0-mingw-w64-9.0.0-r2.7z"
filename = "mingw.7z"
class DarkstarHookC... | 41.647059 | 165 | 0.638418 |
29ee0680db7f17730237f656bfdb3d0d9c8de3e3 | 1,741 | py | Python | jumeaux/addons/log2reqs/csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | jumeaux/addons/log2reqs/csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | jumeaux/addons/log2reqs/csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | # -*- coding:utf-8 -*-
import csv
import urllib.parse as urlparser
from typing import Iterable
from owlmixin import OwlMixin
from owlmixin.owlcollections import TList
from jumeaux.addons.log2reqs import Log2ReqsExecutor
from jumeaux.models import Request, Log2ReqsAddOnPayload
class Config(OwlMixin):
encoding: ... | 31.654545 | 95 | 0.571511 |
8aa1b47f2a8a9e6abb062a5ec66facfc3353ba88 | 1,144 | py | Python | kicker/model_human_forward.py | GeorgJohn/2D_Kicker_git | 8a451f2d573d703ceac1c2011f26e6ff953d2090 | [
"MIT"
] | null | null | null | kicker/model_human_forward.py | GeorgJohn/2D_Kicker_git | 8a451f2d573d703ceac1c2011f26e6ff953d2090 | [
"MIT"
] | null | null | null | kicker/model_human_forward.py | GeorgJohn/2D_Kicker_git | 8a451f2d573d703ceac1c2011f26e6ff953d2090 | [
"MIT"
] | 1 | 2018-08-24T17:53:41.000Z | 2018-08-24T17:53:41.000Z | import math
from kicker.model_game_bar import GameBar
from kicker.CONST_GAME_FIGURES import *
from kicker.CONST_BALL import Coordinate
from kicker.CONST_SIMULATION import SIMULATION_TIME_STEP
from kicker.CONST_SIMULATION import SHOOT_SPEED
from kicker.CONST_SIMULATION import BAR_SPEED
from kicker.CONST_KICKER import C... | 39.448276 | 93 | 0.802448 |
8ac808a1b26ec197c773cea036bcf514f7cb71e3 | 6,216 | py | Python | crawler.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | crawler.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | crawler.py | ipussy/ipussy.github.io | 95d19a74e38bb54303cf18057a99a57c783e76bf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import ssl
import json
import time
import schedule
import shutil
from datetime import datetime
from datetime import date
import os
import os.path
from os import path
from pages import report
from pages.reddit import SubReddit
from pages.reddit import Post
ssl._create_default_https_context = s... | 23.280899 | 109 | 0.592664 |
6a5a3f082e0e4c77df535b42d7850f419fb3ff64 | 897 | py | Python | api/test/test_prometheus_client.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | api/test/test_prometheus_client.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | api/test/test_prometheus_client.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | from prometheus_client import start_http_server, Summary
from prometheus_client import CollectorRegistry, Gauge, push_to_gateway
import random
import time
# Create a metric to track time spent and requests made.
REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request')
# Decorate function ... | 32.035714 | 104 | 0.761427 |
0aff5315950f8b3ddc99b52778538b6dd8405527 | 14,209 | py | Python | robolib/networks/erianet.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 2 | 2017-11-30T21:12:11.000Z | 2017-12-01T07:52:43.000Z | robolib/networks/erianet.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 14 | 2017-11-14T18:12:53.000Z | 2018-06-03T16:07:57.000Z | robolib/networks/erianet.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 3 | 2018-02-05T10:40:03.000Z | 2018-02-09T09:29:19.000Z | # coding=utf-8
import os
import time
from enum import Enum
from os import path
from typing import Tuple, List
import numpy as np
from keras.layers import Input, Lambda
from keras.models import Model
from robolib.images.pgmtools import read_pgm, RAW_IMAGE_EXTENSION
from robolib.networks.common import contrastive_loss,... | 40.138418 | 118 | 0.613203 |
e405444e5893c0c7171aaa0787a1a51106b30ff4 | 4,278 | py | Python | source-code/ESP8266/m_Webserver.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | 3 | 2020-12-30T18:37:13.000Z | 2021-10-02T07:43:10.000Z | source-code/ESP8266/m_Webserver.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | null | null | null | source-code/ESP8266/m_Webserver.py | ZakkyMas/Audio_Mixer_Wireless | 7f7a002fdf8eebe6891c06b803f1a3bd0c2da7ca | [
"MIT"
] | 1 | 2021-10-02T07:47:53.000Z | 2021-10-02T07:47:53.000Z | import gc
import usocket as socket, ujson as json, ure as re
class WebServer:
def __init__(self, system):
self._call = system
self.s = socket.socket()
self.s.bind(('', 80))
self.s.listen(3)
def readFile(self, name):
data = ""
with open(name, 'r') as f:
... | 32.165414 | 117 | 0.508649 |
6b0c692447ec3858c4590b97ac47d9a4af832728 | 2,282 | py | Python | Theories/DataStructures/QueueAndStack/StackDFS/NumberofIslands/number_islands.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/DataStructures/QueueAndStack/StackDFS/NumberofIslands/number_islands.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/DataStructures/QueueAndStack/StackDFS/NumberofIslands/number_islands.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
# DFS
# def numIslands(self, grid: List[List[str]]) -> int:
# if not grid:
# return 0
#
# num_islands = 0
#
# for row in range(len(grid)):
# for col in range(len(grid[row])):
# if grid[row][col] == '1':
# self.find_land_island(grid, row,... | 30.026316 | 109 | 0.554777 |
6b24c163dbc65170179bd467e6b1fc8c2598217b | 1,229 | py | Python | slcyCamera.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyCamera.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyCamera.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | import picamera
import time
import cv2
import numpy
import matplotlib.pyplot as plt
class Camera(picamera.PiCamera):
def __init__(self) -> None:
pass
print('starting camera...')
cam = picamera.PiCamera()
ipath = '/home/pi/apple/imgn.jpg'
cam.resolution = (256,256) # (64,64) to (2592,1944)
cam.b... | 24.58 | 54 | 0.719284 |
86b650a50d5ce34fe4b4348158b6ffd4d79630f9 | 854 | py | Python | 2015/09/college-scorecard-carnevale-20150916/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/09/college-scorecard-carnevale-20150916/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/09/college-scorecard-carnevale-20150916/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
import base_filters
from math import trunc
COPY_GOOGLE_DOC_KEY = '1PPybEiEiSRdwKzF5rPMXJNnf4erdw1DT4ow8bhUjStc'
USE_ASSETS = False
# Use these variables to override the default cache timeouts for this graphic
# DEFAULT_MAX_AGE = 20
# ASSETS_MAX_AGE = 300
def breaks(n):
n = float(n)
i... | 20.829268 | 98 | 0.666276 |
d48ea18b3ea2abd8abd48b8a6bd5556d616b011d | 10,500 | py | Python | vorabpauschale.py | MStrecke/vorabpauschale | 20ca6a9eba6b224477478257b900b20361ad5134 | [
"MIT"
] | null | null | null | vorabpauschale.py | MStrecke/vorabpauschale | 20ca6a9eba6b224477478257b900b20361ad5134 | [
"MIT"
] | null | null | null | vorabpauschale.py | MStrecke/vorabpauschale | 20ca6a9eba6b224477478257b900b20361ad5134 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import configparser
import sys
import re
import datetime
import argparse
from vorabutil import *
# Dateiname des auszuwertenden Datei
BASISINFO = "basis.ini"
# Datei mit Testdaten
TESTDATEN = "test.ini"
# Abschnitts- und Schlüsselnamen
BASISZINS_SECTION = "basiszins"... | 30.08596 | 199 | 0.590381 |
d4acaa39c0afd2eb271ae1f7d2be19dba050da6d | 649 | py | Python | pocketthrone/managers/inputmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | 4 | 2016-06-05T16:48:04.000Z | 2020-03-23T20:06:06.000Z | pocketthrone/managers/inputmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | pocketthrone/managers/inputmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | from kivy.core.window import Window
from pocketthrone.entities.event import *
from pocketthrone.managers.eventmanager import EventManager
class InputManager:
_last_mousepos = None
def __init__(self):
EventManager.register(self)
def on_event(self, event):
if isinstance(event, TickEvent):
kivy_mousepos = Win... | 29.5 | 59 | 0.770416 |
d4d1b462c0130c89650030a2dfcc5439c480063a | 16,986 | py | Python | 20-hs-redez-sem/groups/03-doubleRatchet/src/chat_over_rsync.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-hs-redez-sem/groups/03-doubleRatchet/src/chat_over_rsync.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-hs-redez-sem/groups/03-doubleRatchet/src/chat_over_rsync.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | from helper_functions.helpers import encapsulate_message_tcp, expose_message_tcp
from helper_functions.helpers import FOLDERNAME_KEYS
from helper_functions.helpers_rsync import setup
from helper_functions.helpers_rsync import send_rsync, recv_rsync
from helper_functions.alice import Alice
from helper_functions.bob im... | 44.005181 | 228 | 0.537384 |
58025879f9782714990bef9d244d26449cd7fbcb | 167 | py | Python | WiSe-2122/Wiederholung/Gruppe-C/funktionen-global-lokal.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | WiSe-2122/Wiederholung/Gruppe-C/funktionen-global-lokal.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | WiSe-2122/Wiederholung/Gruppe-C/funktionen-global-lokal.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Funktionsdefinition
def addition(a,b):
result = a+b
result_pot = result**2
return result, result_pot
# Funktionsaufruf
print(addition(3,4))
result = 530 | 18.555556 | 29 | 0.706587 |
b9211b74ef9c5da5320686da758c9c029b8ab43c | 486 | py | Python | INBa/2015/Primov_G_S/task_6_19.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Primov_G_S/task_6_19.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/Primov_G_S/task_6_19.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача 6. Вариант 19
#Создайте игру, в которой компьютер загадывает название одной из шести шахматных фигур, а игрок должен его угадать.
#Primov G. S.
#30.03.2016
print('Угадайте шахматную фигуру, которую загадал компьютер')
import random
a = random.choice(['пешка', 'слон', 'конь', 'ферзь', 'ладья', 'король'])
b = in... | 28.588235 | 115 | 0.67284 |
b94cd50b901993485737eaf47d36e83b240477fa | 5,129 | py | Python | research/cv/renas/src/nasnet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/renas/src/nasnet.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/renas/src/nasnet.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... | 32.05625 | 101 | 0.629557 |
e02aedcaac03262e13938599b96090fb2bd02c69 | 389 | py | Python | Cracking_the_Coding_Interview/trees_is_this_a_binary_search_tree.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Cracking_the_Coding_Interview/trees_is_this_a_binary_search_tree.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Cracking_the_Coding_Interview/trees_is_this_a_binary_search_tree.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
def check_in_BST(root, min_val, max_val):
if root is None:
return True
if root.data < min_val or root.data > max_val:
return False
return (check_in_BST(root.left, min_val, root.data -1) and
check_in_BST(root.right, root.data + 1, max_val))
def checkBST(... | 25.933333 | 62 | 0.647815 |
e03d6351fc5cb69bb0b17c4e67d96d8da03914df | 3,328 | py | Python | classifier.py | Shubh0501/RH | 3093ef1fe9f3285cc274af522e69b80d48fd94cd | [
"MIT"
] | 1 | 2018-03-20T05:24:58.000Z | 2018-03-20T05:24:58.000Z | classifier.py | Shubh0501/RH | 3093ef1fe9f3285cc274af522e69b80d48fd94cd | [
"MIT"
] | null | null | null | classifier.py | Shubh0501/RH | 3093ef1fe9f3285cc274af522e69b80d48fd94cd | [
"MIT"
] | 2 | 2018-03-18T13:19:49.000Z | 2018-03-20T04:56:09.000Z | def classifier(diseases, symptoms):
if len(symptoms) == 0:
print("Empty symptoms list. Try again.")
return []
if(len(diseases) == 0):
print("No matching disease found")
return []
max_match_count = 0
min_match_count = 500
for disease in diseases:
symp = dise... | 35.784946 | 128 | 0.605769 |
16a55ff7ca0de7cf128428897dda17d5f5451326 | 962 | py | Python | Python_source/led_matrix.py | yunuishung/MIT | e423808c162a43b15e7d0b212aa1c4b370b9c12f | [
"MIT"
] | null | null | null | Python_source/led_matrix.py | yunuishung/MIT | e423808c162a43b15e7d0b212aa1c4b370b9c12f | [
"MIT"
] | null | null | null | Python_source/led_matrix.py | yunuishung/MIT | e423808c162a43b15e7d0b212aa1c4b370b9c12f | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
from time import sleep, strftime
from datetime import datetime
from luma.core.interface.serial import spi, noop
from luma.core.render import canvas
from luma.core.virtual import viewport
from luma.led_matrix.device import max7219
from luma.core.legacy import text, show_message
from luma.core.le... | 35.62963 | 110 | 0.739085 |
4c4a9605e00f4f210c4004a7983f00c973352f2a | 1,477 | py | Python | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_array_basics.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_array_basics.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/_numpy/python_numpy_tutorial/python_numpy_tutorial-numpy_array_basics.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/
￣
python_numpy_tutorial-numpy_array_basics.py
2019-07-02 (Tue)
"""
# Python Numpy Tutorial > Numpy > Arrays
# Nu... | 20.513889 | 107 | 0.661476 |
e6aff8b04241f143409b92704c069175599caf85 | 4,622 | py | Python | tensorflow/tensorflow-tutorial-3/lab3_RNN/data_generator.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/tensorflow-tutorial-3/lab3_RNN/data_generator.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/tensorflow-tutorial-3/lab3_RNN/data_generator.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:17:28.000Z | 2019-05-10T09:17:28.000Z | from __future__ import print_function
import numpy as np
target_to_text = {
'0':'zero',
'1':'one',
'2':'two',
'3':'three',
'4':'four',
'5':'five',
'6':'six',
'7':'seven',
'8':'eight',
'9':'nine',
}
stop_character = start_character = '#'
input_characters = " ".join(target_to_te... | 37.885246 | 119 | 0.647988 |
dbc6acd6b8c9c62eab892e050993e933194227b2 | 3,164 | py | Python | files/methodAndKnottiness/reliabilityPyV2.py | scrasmussen/ProsaicOeuvre | e7a5fa61f60acf9a02171235b0855d10341cdefc | [
"MIT"
] | null | null | null | files/methodAndKnottiness/reliabilityPyV2.py | scrasmussen/ProsaicOeuvre | e7a5fa61f60acf9a02171235b0855d10341cdefc | [
"MIT"
] | 1 | 2021-07-02T23:08:16.000Z | 2021-07-02T23:10:42.000Z | files/methodAndKnottiness/reliabilityPyV2.py | scrasmussen/ProsaicOeuvre | e7a5fa61f60acf9a02171235b0855d10341cdefc | [
"MIT"
] | null | null | null | import sys, math, time
import numpy as np
np.set_printoptions(precision=4)
count = 0
cost=np.array([666])
reliability=np.array([666])
# Read input. Budget, number of machines, cost and reliability
for line in sys.stdin:
if count == 0:
B = int(line)
elif count == 1:
N = int(line)
else:
... | 22.76259 | 66 | 0.520228 |
7264e1c288dce770b5db13273c97f06eab2a0745 | 262 | py | Python | src/using_tips/self.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/self.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | src/using_tips/self.py | HuangHuaBingZiGe/GitHub-Demo | f3710f73b0828ef500343932d46c61d3b1e04ba9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
self 相当于类的实例，用于返回实例的一些属性，用于类的方法的参数当中，在属性前加self也可以理解为全局变量，变量不会在类的方法结束后销毁。
self 名称可以自定义，但最好按习惯来。
self 需要在定义时指定，但在实例化调用传参时不必显式传递。
ps：顺便说一下，python2 和 python3在定义类时有所区别， 在用一些高级特性时，python2最好指定参数 object，而python3则不用。
'''
| 20.153846 | 80 | 0.778626 |
72c79ab51d13d545517a1ef09c4485b8671a45be | 4,083 | py | Python | phypidaq/TCS34725Config.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 7 | 2018-11-30T13:38:27.000Z | 2021-03-10T15:37:56.000Z | phypidaq/TCS34725Config.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 5 | 2020-11-11T09:19:00.000Z | 2022-02-06T09:04:55.000Z | phypidaq/TCS34725Config.py | RMGrau/PhyPiDAQ | e7ea08a0d5de9772a1a5e32ccd0ab1bfddf9ff54 | [
"BSD-2-Clause"
] | 16 | 2019-04-16T10:15:45.000Z | 2021-12-15T14:59:31.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, division, unicode_literals
from __future__ import absolute_import
import numpy as np, time, sys
# import relevant pieces for TCS34725 RGB (color) sensor
import Adafruit_TCS34725 as TCS34725
class TCS34725Config(object):
''' TC34725 configuration and i... | 35.198276 | 102 | 0.642175 |
f4561ddea73483396ce4349bbb3f8c41d720c5cd | 6,936 | py | Python | src/lcdoc/lprunner.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | 24 | 2021-10-04T22:11:59.000Z | 2022-02-02T21:51:43.000Z | src/lcdoc/lprunner.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | 2 | 2021-10-04T21:51:30.000Z | 2021-10-05T14:15:31.000Z | src/lcdoc/lprunner.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | null | null | null | """
Runs the literate programming blocks within a markdown document.
We open tmux (requirement) and show in one pane the markdown plus the commands to run.
If the commands open a session themselves, we attach in split panes, so that you can
follow the output.
"""
import os
import sys
import time
import traceback
imp... | 24.251748 | 86 | 0.570069 |
f48abbd948dfbecb8508578d0b00fa7d394de1d0 | 7,524 | py | Python | iotsamstag/esp32/libraries/thirdparty/arduino-esp32/tools/platformio-build.py | philippAuinger/ha_visualisierung | 46838de7edd421b3341a0a9a9b389e152758ffd5 | [
"MIT"
] | 3 | 2019-02-07T15:13:23.000Z | 2020-02-08T08:13:27.000Z | esp32/libraries/thirdparty/arduino-esp32/tools/platformio-build.py | DigitalDoorSignage/DigitalDoorSignageClient | f397b4a3c8ca264bec1d22dd9acc7be2b11d1083 | [
"MIT"
] | 1 | 2020-07-07T19:43:11.000Z | 2020-07-07T19:43:11.000Z | esp32/libraries/thirdparty/arduino-esp32/tools/platformio-build.py | DigitalDoorSignage/DigitalDoorSignageClient | f397b4a3c8ca264bec1d22dd9acc7be2b11d1083 | [
"MIT"
] | 1 | 2019-01-15T13:42:37.000Z | 2019-01-15T13:42:37.000Z | # Copyright 2014-present PlatformIO <contact@platformio.org>
#
# 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 applicabl... | 42.03352 | 629 | 0.625199 |
be4e7615f2d9696bb164ca619f33c8803a569121 | 279 | py | Python | Chapter2_Basics/Exercise1.py | franneck94/UdemyPythonIntro | 4895a91a04eedce7d59b61bf12e5aa209fe60f85 | [
"MIT"
] | 2 | 2021-02-13T19:18:00.000Z | 2021-11-10T09:54:49.000Z | Chapter2_Basics/Exercise1.py | franneck94/UdemyPythonIntro | 4895a91a04eedce7d59b61bf12e5aa209fe60f85 | [
"MIT"
] | null | null | null | Chapter2_Basics/Exercise1.py | franneck94/UdemyPythonIntro | 4895a91a04eedce7d59b61bf12e5aa209fe60f85 | [
"MIT"
] | null | null | null | """Exercise 1:
1.)
Write code that takes an integer number and prints True if:
- The number is greater than 10 or less than 0
Else: print False
2.)
Write code that takes two floats (x, y) and computes:
- x^2 + x*y + y^2
"""
# exercise1
number = 8
# exercise2
x = 3.0
y = 2.0
| 14.684211 | 59 | 0.663082 |
fe574ed5dec5f112034824cd9206e16b26135a85 | 92 | py | Python | 2014/09/table-playground-stats/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/09/table-playground-stats/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/09/table-playground-stats/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 = '1QmTPrMFrSMnsVtSvALioYgtt2H3bsqfgGjqduIxCz2o'
| 23 | 68 | 0.847826 |
433157d5e9d06510904155e6f900d2054cfd92c6 | 184 | py | Python | crack/hashing/passwdformats.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | crack/hashing/passwdformats.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | crack/hashing/passwdformats.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | FILE_FORMAT = {}
FILE_FORMAT['smbpasswd'] = ['name', 'uid', 'LM_hash', 'NTLM_hash', 'Account Flags', 'Last Change Time']
FILE_FORMAT['custom'] = ['name', 'uid', 'hash', 'salt', 'pwd']
| 46 | 103 | 0.625 |
43953b5e61bc984dd452ced5c7c874565041cd67 | 1,679 | py | Python | test/test_npu/test_network_ops/test_dropoutv2.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_dropoutv2.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_dropoutv2.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... | 39.046512 | 111 | 0.703395 |
78efecb3872ec0e24d80e8dd80936df88ceb4f9e | 567 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v8_3/update_company_total_sales.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/v8_3/update_company_total_sales.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v8_3/update_company_total_sales.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2017, Frappe and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from erpnext.setup.doctype.company.company import update_company_current_month_sales, update_company_monthly_sales
def execute():
'''Update company monthly sal... | 35.4375 | 114 | 0.811287 |
78f892b9900b3042e00543919bb8f0143ed7023b | 13,230 | py | Python | frappe-bench/apps/erpnext/erpnext/selling/doctype/customer/customer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/selling/doctype/customer/customer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/selling/doctype/customer/customer.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.naming import set_name_by_naming_series
from frappe import _, msgprint, throw
import frappe.defaults
from frappe.utils i... | 39.142012 | 161 | 0.732653 |
78f8abb4e90ea1a523804b7b3bc697cff765f1d3 | 1,130 | py | Python | dcapy/dca/timeconverter.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | 4 | 2021-05-21T13:26:10.000Z | 2021-11-15T17:17:01.000Z | dcapy/dca/timeconverter.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | null | null | null | dcapy/dca/timeconverter.py | scuervo91/dcapy | 46c9277e607baff437e5707167476d5f7e2cf80c | [
"MIT"
] | null | null | null | import pandas as pd
from scipy import stats
import numpy as np
from enum import Enum
list_freq = ['A','M','D']
class FreqEnum(str, Enum):
A = 'A'
M = 'M'
D = 'D'
di = {
'to':['A','A','A','M','M','M','D','D','D'],
'from':['A','M','D','A','M','D','A','M','D'],
'value':[1,12,365,1/12,1,30,1/365... | 24.042553 | 97 | 0.615929 |
604934c7b5024c41a7cf99a68b172c7040b049e7 | 4,664 | py | Python | listings/chapter05/salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter05/salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter05/salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | from random import randint, shuffle
from copy import deepcopy
from genetic import Chromosome, Genetic
# Entfernungen auch in Gegenrichtung erzeugen
def generate_distances():
source_distances = {
("Berlin", "Kopenhagen"): 355, ("Berlin", "Warschau"): 517,
("Berlin", "Prag"): 280, ("Berlin", "Wien"):... | 41.274336 | 120 | 0.59777 |
1cce968e81665090ee47c11cca5577d5ca7a0c85 | 784 | py | Python | 7-assets/past-student-repos/data_struct_and_algo-master/linked_list.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 4 | 2021-08-31T00:56:40.000Z | 2021-11-29T03:08:55.000Z | 7-assets/past-student-repos/data_struct_and_algo-master/linked_list.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 3 | 2022-02-14T18:48:11.000Z | 2022-03-30T05:26:26.000Z | 7-assets/past-student-repos/data_struct_and_algo-master/linked_list.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-08-31T00:54:51.000Z | 2021-08-31T00:54:51.000Z | #linked list creation
#singly linked list
class Node:
def __init__(self,data):
self.data=data
self.next=None
class LinkedList:
def __init__(self):
self.head=None
def PrintList(self):
if self.head is not None:
itr=self.head
while itr:
... | 14.254545 | 53 | 0.600765 |
98ceaef7d5723e85f5882834950aae5400260403 | 2,735 | py | Python | cs/lambda_cs/06_graphs/notes/islands/island_dave.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/06_graphs/notes/islands/island_dave.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/06_graphs/notes/islands/island_dave.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | # Write a function that takes a 2D binary array and returns the number of 1 islands. An island consists of 1s that are connected to the north, south, east or west. For example:
# islands = [[0, 1, 0, 1, 0],
# [1, 1, 0, 1, 1],
# [0, 0, 1, 0, 0],
# [1, 0, 1, 0, 0],
# [1, 1, 0,... | 31.436782 | 176 | 0.551005 |
c72ca5bc49aced12301476c1f4d09852a882d699 | 3,796 | py | Python | Packs/ApiModules/Scripts/ServiceNowApiModule/ServiceNowApiModule_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ApiModules/Scripts/ServiceNowApiModule/ServiceNowApiModule_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/ApiModules/Scripts/ServiceNowApiModule/ServiceNowApiModule_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | from ServiceNowApiModule import *
import demistomock as demisto
PARAMS = {
'insecure': False,
'credentials': {
'identifier': 'user1',
'password:': '12345'
},
'proxy': False,
'client_id': 'client_id',
'client_secret': 'client_secret',
'use_oauth': True
}
# Unit tests for OA... | 43.632184 | 120 | 0.675975 |
1be051b6f897669c56231148f64a21daa13fc5ec | 5,528 | py | Python | pynanz/indicators.py | salemileandro/pynanz | 5e22f4c4a0914714d1df668d3d0be54c90a8ff6d | [
"MIT"
] | null | null | null | pynanz/indicators.py | salemileandro/pynanz | 5e22f4c4a0914714d1df668d3d0be54c90a8ff6d | [
"MIT"
] | null | null | null | pynanz/indicators.py | salemileandro/pynanz | 5e22f4c4a0914714d1df668d3d0be54c90a8ff6d | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
def ema(x: pd.Series,
span: int = 10):
"""
Compute the exponential moving average (ema) of a pd.Series data.
:param x: Target data to compute the ema.
:type x: pd.Series.
:param span: Span to compute the data. The decay alpha=2/(span+1).
:typ... | 33.707317 | 123 | 0.637844 |
40bf3f3f0e7efb43f4d081806d772efc8505f34f | 150 | py | Python | Online-Judges/CodingBat/Python/Logic-01/Logic_1-01-cigar_party.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/CodingBat/Python/Logic-01/Logic_1-01-cigar_party.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/CodingBat/Python/Logic-01/Logic_1-01-cigar_party.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def cigar_party(cigars, is_weekend):
if cigars >= 40 and cigars <= 60 or is_weekend == True and cigars > 60:
return True
return False
| 30 | 75 | 0.66 |
291fafb21d729797f4f9c47d5575e2f1dd590ba2 | 1,362 | py | Python | HW3/SiameseNetworkContrastive.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | HW3/SiameseNetworkContrastive.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | HW3/SiameseNetworkContrastive.py | kvswim/kv_jhu_cv | 2ddf7a9d497aef116a7c043157b8631cea45000d | [
"MIT"
] | null | null | null | #Kyle Verdeyen
#Computer Vision EN.600.461 HW3
#SiameseNetworkContrastive.py
#siamese network class abstraction, without concat for BCE (used for p1b/contrastive)
import torch
import torch.nn as nn
class SiameseNetworkContrastive(nn.Module):
def __init__(self):
super(SiameseNetworkContrastive, self).__init__()
#st... | 30.266667 | 85 | 0.688693 |
4645aaf07cfbf4878fbb57df420e178af7998be5 | 558 | py | Python | INBa/2014/Mamedov_R_A/Mamedov 2_12.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Mamedov_R_A/Mamedov 2_12.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2014/Mamedov_R_A/Mamedov 2_12.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 2, Вариант 12
# Напишите программу, которая будет выводить на экран наиболее понравившееся вам высказывание, автором которого является Анвари. Не забудьте о том, что автор должен быть упомянут на отдельной строке.
# Мамедов Р.А.
# 02.03.2016
print (''' Для человека мысль - венец всего живого.
А чистота душ... | 39.857143 | 199 | 0.758065 |
4667a2a86c97dca087ddc1e31d49b0fc79f62768 | 1,214 | py | Python | Packs/CrowdStrikeFalconStreamingV2/Scripts/CrowdStrikeStreamingPreProcessing/CrowdStrikeStreamingPreProcessing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CrowdStrikeFalconStreamingV2/Scripts/CrowdStrikeStreamingPreProcessing/CrowdStrikeStreamingPreProcessing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CrowdStrikeFalconStreamingV2/Scripts/CrowdStrikeStreamingPreProcessing/CrowdStrikeStreamingPreProcessing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
res = True
for inc in demisto.incidents():
host = ''
if inc['labels']:
for t in inc['labels']:
if t['type'] == 'System':
host = t['value']
if len(host) > 0:
sameIncidents =... | 44.962963 | 114 | 0.557661 |
46ac40706186b1344a04a7afd57f19a7916e7db0 | 3,625 | py | Python | Implementierung/ResearchEnvironment/AuthorizationManagement/models.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | Implementierung/ResearchEnvironment/AuthorizationManagement/models.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | Implementierung/ResearchEnvironment/AuthorizationManagement/models.py | Sashks/PSE | ae2d8133a85563c33583f15b9ba76a3a2bf0c762 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
from django.core.exceptions import ObjectDoesNotExist
from django.core.mail.message import EmailMessage
import logging
from django.template.loader import render_to_string
from django.core.mail import send_mail
# Cre... | 32.657658 | 130 | 0.688 |
311242c021e0c87fde1e1f185dc7a04677e8e5ad | 1,909 | py | Python | src/onegov/election_day/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/forms/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.election_day.forms.archive import ArchiveSearchForm
from onegov.election_day.forms.common import EmptyForm
from onegov.election_day.forms.data_source import DataSourceForm
from onegov.election_day.forms.data_source import DataSourceItemForm
from onegov.election_day.forms.election import ElectionForm
from on... | 41.5 | 76 | 0.833944 |
7353e359a058fc6a048217f1def82aa861e8752f | 3,667 | py | Python | examples/tensorflow-mnist-mlp/train_minimal.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 23 | 2018-09-19T13:34:27.000Z | 2022-02-14T09:49:35.000Z | examples/tensorflow-mnist-mlp/train_minimal.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 33 | 2018-10-18T07:58:05.000Z | 2019-05-16T08:24:12.000Z | examples/tensorflow-mnist-mlp/train_minimal.py | pcrete/skil-python | 672a1aa9e8af020c960ab9ee280cbb6b194afc3f | [
"Apache-2.0"
] | 11 | 2018-10-21T18:58:57.000Z | 2022-02-14T09:49:36.000Z | import tensorflow as tf
import numpy as np
import os
from tensorflow.python.tools import freeze_graph
from tensorflow.python.training import saver as saver_lib
from tensorflow.python.framework import graph_io
epochs = 100
batch_size = 32
work_directory = os.path.abspath('')
saver_write_version = 2
mnist = tf.kera... | 30.057377 | 82 | 0.676029 |
5b09e4088aa2147e65b59737381248e593bc7f2b | 13,918 | py | Python | app/util.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | app/util.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | app/util.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
License: MIT
Copyright (c) 2019 - present AppSeed.us
"""
from __future__ import print_function
import base64
import mimetypes
import smtplib
from datetime import date
from email.mime.audio import MIMEAudio
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipa... | 35.414758 | 122 | 0.668343 |
5b1da071f31604857cda582e9f9b7b34cadb4087 | 761 | py | Python | python_project/python/PythonProj/test_1.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | 1 | 2018-12-30T14:07:42.000Z | 2018-12-30T14:07:42.000Z | python_project/python/PythonProj/test_1.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | python_project/python/PythonProj/test_1.py | sinomiko/project | 00fadb0033645f103692f5b06c861939a9d4aa0e | [
"BSD-3-Clause"
] | null | null | null | import random
num = random.randint(1,100)
while num != 0:
inNum = int(raw_input("please input number:"))
print type(inNum)
print type(num)
if num > inNum:
print "{} is bigger than {}".format(num, inNum)
elif num == inNum:
print "{} is equal {}".format(num, inNum)
brea... | 27.178571 | 57 | 0.53088 |
d28a558917aab54dc49a5978e6bd3f87562496be | 1,001 | py | Python | analyze/municipalities.py | no-ora/solitadds | 18c5868af00441a8e67311679a0b848c836975d2 | [
"MIT"
] | null | null | null | analyze/municipalities.py | no-ora/solitadds | 18c5868af00441a8e67311679a0b848c836975d2 | [
"MIT"
] | null | null | null | analyze/municipalities.py | no-ora/solitadds | 18c5868af00441a8e67311679a0b848c836975d2 | [
"MIT"
] | null | null | null | import sys, math, pdb
from datetime import timedelta
import pandas as pd
import logging
import numpy as np
def combine_municipalities_data(municipality_id_df, municipality_data):
municipality_ids = municipality_id_df['municipalityId'].unique()
summary = None
for municipality_id in municipality_ids:
... | 34.517241 | 186 | 0.648352 |
81e586b6dce8e6d0aaeec3344024e8fdf268402b | 257 | py | Python | Project Euler/Problem_6/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 26 | 2019-07-17T11:05:43.000Z | 2022-02-06T08:31:40.000Z | Project Euler/Problem_6/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 7 | 2019-07-16T19:52:25.000Z | 2022-01-08T08:03:44.000Z | Project Euler/Problem_6/solution.py | Nidita/Data-Structures-Algorithms | 7b5198c8d37e9a70dd0885c6eef6dddd9d85d74a | [
"MIT"
] | 19 | 2020-01-14T02:44:28.000Z | 2021-12-27T17:31:59.000Z | def main():
sum_of_squares = 0
square_of_sum = 0
for i in range(1, 101):
sum_of_squares = sum_of_squares + i**2
square_of_sum = square_of_sum + i
print(square_of_sum**2 - sum_of_squares)
if __name__ == '__main__':
main() | 25.7 | 46 | 0.634241 |
486d68e2d8e581c2ba6a69c0740f83f2ed34ea36 | 2,294 | py | Python | experimental/mimo/layers.py | krasserm/edward2 | 311d3ad6946b543e70af1495eab9a0a9b4f69854 | [
"Apache-2.0"
] | null | null | null | experimental/mimo/layers.py | krasserm/edward2 | 311d3ad6946b543e70af1495eab9a0a9b4f69854 | [
"Apache-2.0"
] | null | null | null | experimental/mimo/layers.py | krasserm/edward2 | 311d3ad6946b543e70af1495eab9a0a9b4f69854 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2020 The Edward2 Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 33.735294 | 79 | 0.650392 |
738d20d7291590508ff590e85aa578dff8480c89 | 3,033 | py | Python | StateTracing/read_split_data.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | null | null | null | StateTracing/read_split_data.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | null | null | null | StateTracing/read_split_data.py | junchenfeng/diagnosis_tracing | 4e26e2ad0c7abc547f22774b6c9c299999a152c3 | [
"MIT"
] | 1 | 2020-09-08T13:42:16.000Z | 2020-09-08T13:42:16.000Z | # -*- coding: utf-8 -*-
import os
from sklearn.model_selection import KFold
#def get_init(file_name):
#
# result = {}
# for line in open(file_name,'r',encoding='utf8'):
# itm,init_state = line.strip().split()
## init_state = list(map(int,init_state))
# result[itm] = init_... | 27.572727 | 75 | 0.496208 |
fb900b6bbba24f2a2f1a02d74fe3e96d118027c6 | 4,920 | py | Python | runServerWithSwagger.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | runServerWithSwagger.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | runServerWithSwagger.py | wchming1987/Tumbler | e309771779c8eb44e685adbb691a428d29009e05 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding=utf-8 -*-
import ConfigParser
import os
import signal
import time
import tornado.httpserver
import tornado.ioloop
from tornado_swagger import swagger
from lib import log
from handler.Book import BooksHandler
from handler.Reminder import RemindersHandler
import pymongo
MAX_WAIT_SECO... | 29.461078 | 108 | 0.593496 |
839dfdeacc0013991e9a021e2748a7b88f563eab | 1,794 | py | Python | src/heatmaps/heatmaps.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/heatmaps/heatmaps.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/heatmaps/heatmaps.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.cm as cmp
import matplotlib.colors as cl
import matplotlib.pyplot as plt
import warnings
import squarify
# matplotlib
cmap_ages = cmp.get_cmap('YlOrBr')
fig, ax = plt.subplots(figsize=(10,60))
im = ax.imshow(age_values, cmap = cmap_ages)
ax.set_xticks(np.arange... | 36.612245 | 120 | 0.72854 |
7921469af624db52d2096ae72ca743b49d950e8b | 390 | py | Python | schemas.py | bjoernh/immunsicht_backend | dae264a01da775bc99edf89afabf0b9759682d1b | [
"MIT"
] | 1 | 2020-04-06T23:17:55.000Z | 2020-04-06T23:17:55.000Z | schemas.py | bjoernh/immunsicht_backend | dae264a01da775bc99edf89afabf0b9759682d1b | [
"MIT"
] | null | null | null | schemas.py | bjoernh/immunsicht_backend | dae264a01da775bc99edf89afabf0b9759682d1b | [
"MIT"
] | null | null | null | from typing import List
from pydantic import BaseModel
class Test(BaseModel):
case_code : str
citizen_id : int
insurance_company : InsuranceCompany
first_name : str
last_name : str
street : str
postcode : str
city : str
birthday : date
date_of_test : date
result_positve : ... | 18.571429 | 40 | 0.694872 |
f7758ff0807ab6ee28017ce80a30a4d130ad7f03 | 768 | py | Python | hystreet/hystreet_to_s3/compute_station_means.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 29 | 2020-03-21T00:47:51.000Z | 2021-07-17T15:50:33.000Z | hystreet/hystreet_to_s3/compute_station_means.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 7 | 2020-03-21T14:04:26.000Z | 2022-03-02T08:05:40.000Z | hystreet/hystreet_to_s3/compute_station_means.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | 13 | 2020-03-21T01:08:08.000Z | 2020-04-08T17:21:11.000Z | import pandas as pd
from datetime import datetime, date
def compute_weekday(timestamp):
date_str = timestamp.split('+')[0]
date = datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S.%f')
return date.weekday()
data = pd.read_csv('data.temp.csv')
data['weekday'] = float("NaN")
for index, row in data.iterrows(... | 36.571429 | 209 | 0.72526 |
4d08ee85283b5d4bb990b68287b0335a357aecec | 491 | py | Python | python/generator_tricks_for_systemprogrammer/msgtest.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/msgtest.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/msgtest.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # msgtest.py
#
# A program that sends a message to the sample server in genmessages.py
import socket
def send_msg_udp(msg):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.sendto(msg, ("127.0.0.1", 10000))
def send_msg_tcp(msg):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
... | 21.347826 | 72 | 0.643585 |
4dea4afaa317804e693ea74a150b5585205896fe | 5,119 | py | Python | chord_rec/utils.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/utils.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/utils.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | from fractions import Fraction
import re
def define_beat_from_meter(meter):
'''
Return lists of strong and weak beat given meter
Output:
strong - list[int]
weak - list[int]
'''
strong, weak = [], []
if meter == '2/4':
strong, weak = [1... | 27.521505 | 102 | 0.496191 |
4216e7187797fbad6ed75f277c14bcea914f1275 | 774 | py | Python | Algorithms/2_Implementation/59.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | 1 | 2021-11-25T13:39:30.000Z | 2021-11-25T13:39:30.000Z | Algorithms/2_Implementation/59.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | Algorithms/2_Implementation/59.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/manasa-and-stones/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'stones' function below.
#
# The function is expected to return an INTEGER_ARRAY.
# The function accepts following parameters:
# 1. INTEGER n
# 2. INTEGER a
# ... | 18.878049 | 65 | 0.608527 |
427f969b5f5f3a60e154d07399bbc529f650a163 | 12,602 | py | Python | echelon/echelon.py | sking8484/echelon | 9f2ef06507e712f1daa6fd47c7eb894e0cb47e06 | [
"MIT"
] | null | null | null | echelon/echelon.py | sking8484/echelon | 9f2ef06507e712f1daa6fd47c7eb894e0cb47e06 | [
"MIT"
] | null | null | null | echelon/echelon.py | sking8484/echelon | 9f2ef06507e712f1daa6fd47c7eb894e0cb47e06 | [
"MIT"
] | null | null | null | import plotly.graph_objs as go
import dash_html_components as html
import dash_core_components as dcc
import dash
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.api as sm
import datetime
import seaborn as sns
sns.set_style("darkgrid")
class EchelonBT():
def __init__(sel... | 35.59887 | 205 | 0.51587 |
67224476cd99f8ff0e3feb41b7d015f4faec8b05 | 2,335 | py | Python | sort_algorithm/03_binary_tree.py | Jeson1g/Dawson | b65f2347110cf56d13e9fcf8f08a3b38af53af77 | [
"MIT"
] | 2 | 2018-06-19T08:46:10.000Z | 2018-11-05T02:15:34.000Z | sort_algorithm/03_binary_tree.py | Jeson1g/Dawson | b65f2347110cf56d13e9fcf8f08a3b38af53af77 | [
"MIT"
] | null | null | null | sort_algorithm/03_binary_tree.py | Jeson1g/Dawson | b65f2347110cf56d13e9fcf8f08a3b38af53af77 | [
"MIT"
] | null | null | null | class Node(object):
"""结点类"""
def __init__(self, item):
self.item = item
self.lchild = None
self.rchild = None
class BinaryTree(object):
"""二叉树"""
def __init__(self, node=None):
self.root = node
def add(self, item):
"""
广度优先遍历方式添加结点
:param... | 24.072165 | 46 | 0.48651 |
c02a13c98a11489bd73c71c364c64a3bfd394f69 | 15,109 | py | Python | postprocessing/evaluate_line_by_line.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | postprocessing/evaluate_line_by_line.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | postprocessing/evaluate_line_by_line.py | dainst/chronoi-corpus-processing | 7f508a7572e1022c4c88d1477db029e6619a1f0c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import annotations
import argparse
import csv
import enum
import glob
import os.path
from corpus_reading import TagInContext, Document, DocumentLine
class TaskType(enum.Enum):
TAG_STRICT = 0
TAG_RELAXED = 1
ATTRIBUTE = 2
class ResultType(... | 39.449086 | 130 | 0.643259 |
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