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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d26e68a58b0367baae7be4ea2424ff76571c7233 | 438 | py | Python | miniconda/download_prerequisites.py | MahdiFarnaghi/gtm | adbec372786262607291f901a444a0ebe9e98b48 | [
"Apache-2.0"
] | null | null | null | miniconda/download_prerequisites.py | MahdiFarnaghi/gtm | adbec372786262607291f901a444a0ebe9e98b48 | [
"Apache-2.0"
] | null | null | null | miniconda/download_prerequisites.py | MahdiFarnaghi/gtm | adbec372786262607291f901a444a0ebe9e98b48 | [
"Apache-2.0"
] | null | null | null | import nltk
import fasttext.util
languages = "en, pt"
if languages != '':
languages = str(languages).split(',')
print('FASTTEXT LANGUAGE MODELS.')
for lang in languages:
print(f"\tDownloading {lang}")
fasttext.util.download_model(str.strip(lang), if_exists='ignore')
print('LOADING FASTTEXT LANGUAGE MO... | 27.375 | 73 | 0.714612 |
96b0eb449ff0bd92c72b2ec25928d42d4aee0541 | 196 | py | Python | Lecture5/lecture5.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | Lecture5/lecture5.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | Lecture5/lecture5.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | # Using all 14 functions
import math
integer = -20.11
print('Absolute value of {0} is: {1}'.format(integer, abs(integer)))
print('Ceil value of {0} is: {1}'.format(integer, math.ceil(integer)))
| 24.5 | 70 | 0.688776 |
7392329feaf98e1d1cf0d12a5419870e92d9aecc | 12,057 | py | Python | src/regard_prediction/inference.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/regard_prediction/inference.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/regard_prediction/inference.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | import os
from pprint import pprint
import json
import hydra.utils
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
import torch
from torch.nn import functional as F
from sklearn.metrics import classification_report
from sentence_transformers import SentenceTransformer
from... | 34.252841 | 88 | 0.616654 |
73aaae3b60e590112a97522b3158a1c721f92831 | 13,615 | py | Python | Practice-2019-05-11/scripts/baseline_logisticregression.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | 3 | 2019-11-25T09:56:48.000Z | 2021-01-18T13:18:17.000Z | Practice-2019-05-11/scripts/baseline_logisticregression.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | null | null | null | Practice-2019-05-11/scripts/baseline_logisticregression.py | serge-sotnyk/nlp-practice | e38400590a3fcf140a73d6871a778b3c2115a2fe | [
"MIT"
] | 2 | 2020-05-17T17:22:14.000Z | 2020-09-23T08:31:46.000Z | # ============== SemEval-2015 Task 1 ==============
# Paraphrase and Semantic Similarity in Twitter
# ===================================================
#
# Author: Wei Xu (UPenn xwe@cis.upenn.edu)
#
# Implementation of a baseline system that uses logistic
# regression model with simple n-gram features, which
# i... | 33.207317 | 120 | 0.603526 |
83f19bd5820a4beabf2ec2d5547cc2c6a3227a8c | 5,288 | py | Python | 21-fs-ias-lec/03-BACnetCore/src/core/security/crypto.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/security/crypto.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/security/crypto.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import hashlib
import secrets
import nacl.encoding
import nacl.exceptions
import nacl.signing
"""
Crypto to Secure the BACNet:
-----------------------------
In general the hash of the previous event is just the hash of its metadata. This allows for the Events to be imported
in a database without its content (ex whe... | 31.105882 | 119 | 0.669062 |
f7fa3ea0d3d0549f395e122654ded5814882e7f6 | 4,658 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/packaging/language/test_gem.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/packaging/language/test_gem.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/packaging/language/test_gem.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # Copyright (c) 2018 Antoine Catton
# MIT License (see licenses/MIT-license.txt or https://opensource.org/licenses/MIT)
import copy
import pytest
from ansible_collections.community.general.plugins.modules.packaging.language import gem
from ansible_collections.community.general.tests.unit.modules.utils import AnsibleE... | 33.271429 | 140 | 0.647059 |
b773430612bf5d0f461420afca2abfc7e3d4d9b6 | 774 | py | Python | Interview Preparation Kits/Interview Preparation Kit/Dynamic Programming/Max Array Sum/max_array_sum.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Interview Preparation Kits/Interview Preparation Kit/Dynamic Programming/Max Array Sum/max_array_sum.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Interview Preparation Kits/Interview Preparation Kit/Dynamic Programming/Max Array Sum/max_array_sum.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
# Complete the maxSubsetSum function below.
def maxSubsetSum(arr):
n = len(arr)
if n == 1:
return arr[0]
elif n == 2:
return max(arr[0], arr[1])
else:
max_sum1 = max(arr[0], arr[1])
max_sum2 = arr[0... | 19.35 | 65 | 0.555556 |
4d61e64a3bae8fae68693acb229013ab9bcd213d | 67 | py | Python | python_lessons/MtMk_Test_Files/Install_modules.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/Install_modules.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/Install_modules.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | import pandas_datareader as pdr
print(pdr.get_data_fred('GS10'))
| 22.333333 | 33 | 0.791045 |
4287599570a33ad90cc46d969e9170f28f22e080 | 1,641 | py | Python | solutions/pic_search/webserver/src/preprocessor/vggnet.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | 1 | 2021-04-06T06:13:20.000Z | 2021-04-06T06:13:20.000Z | solutions/pic_search/webserver/src/preprocessor/vggnet.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | solutions/pic_search/webserver/src/preprocessor/vggnet.py | naetimus/bootcamp | 0182992df7c54012944b51fe9b70532ab6a0059b | [
"Apache-2.0"
] | null | null | null | import numpy as np
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input as preprocess_input_vgg
from keras.preprocessing import image
from numpy import linalg as LA
from common.const import input_shape
class VGGNet:
def __init__(self):
self.input_shape = (224, 22... | 40.02439 | 107 | 0.621572 |
35f478e63f62f2eb63e36f39dd141eff543b279c | 177 | py | Python | Shivani/marks.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/marks.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/marks.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | x = int(input("enter percentage\n"))
if(x>=65):
print("Excellent")
elif(x>=55 and x<65):
print("Good")
elif(x>=40 and x<55):
print("Fair")
else:
print("Failed")
| 17.7 | 36 | 0.581921 |
675e268f66545e94c7ba44b1bff8b2bc055b3946 | 5,660 | py | Python | listings/chapter08/neural_network.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter08/neural_network.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter08/neural_network.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | import math
import csv
import numpy as np
from random import shuffle
# Sigmoidfunktion als Aktivierungsfunktion
def sigmoid(x):
try:
return 1 / (1 + math.exp(-x))
except OverflowError:
return 0
# Künstliches neuronales Netzwerk
class NeuralNetwork:
# Attribute:
# - Anzahl Neuronen der... | 36.993464 | 77 | 0.616784 |
6774699c5f28eee003c3e01f15f9fa923f3ece7e | 511 | py | Python | oldp/apps/courts/admin.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/courts/admin.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/courts/admin.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import *
# admin.site.register(Court)
admin.site.register(Country)
admin.site.register(State)
admin.site.register(City)
@admin.register(Court)
class CourtAdmin(admin.ModelAdmin):
date_hierarchy = 'updated'
list_display = ('name', 'slug', 'court_type', 'city', 'c... | 24.333333 | 76 | 0.692759 |
67e354d20217acd242d0ad510fa3ae92f24da737 | 92 | py | Python | 2015/03/gdp-women-20140312/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/03/gdp-women-20140312/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/03/gdp-women-20140312/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 = '1HPBT1kHoP0NbDhRpNMXsQrgcrmcPqXg-gu66ImF6OBc'
| 23 | 68 | 0.836957 |
e1f0e4d7f8278a3c087ee558e40d978eb8d20136 | 15,233 | py | Python | minicps/devices.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | minicps/devices.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | 2 | 2020-06-24T13:01:22.000Z | 2020-06-24T13:10:07.000Z | minicps/devices.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | """
``devices`` module contains:
- ``get`` and ``set`` physical process's API methods
- ``send`` and ``receive`` network layer's API methods
- the user input validation code
Any device can be initialized with any couple of ``state`` and
``protocol`` dictionaries.
List of supported protocols and identifie... | 28.472897 | 90 | 0.556817 |
e1781c4f541ecc8b0baffdda94024aa328257b27 | 28,022 | py | Python | FB-Cracker-master/fbcracker.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | FB-Cracker-master/fbcracker.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | FB-Cracker-master/fbcracker.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import os, sys, time, datetime, random, hashlib, re, threading, json, getpass, urllib
from multiprocessing.pool import ThreadPool
try:
import requests
except ImportError:
os.system("pip2 install requests")
from requests.exceptions import ConnectionError
from mechanize import Browser
try:
import mechanize
... | 37.362667 | 427 | 0.485119 |
360bb1885652138297084ec8d089c22a4b1a579d | 781 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex02_edit_distance_timing_memo.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex02_edit_distance_timing_memo.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex02_edit_distance_timing_memo.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import time
from ch07_recursion_advanced.solutions.ex02_edit_distance import edit_distance_optimized
def main():
inputs_tuples = [["Micha", "Michael"],
["Ananas", "Banane"],
["sunday... | 26.033333 | 88 | 0.612036 |
36e53bc6cba83a02182daac0ce0b7271b29a6f65 | 1,600 | py | Python | dev/Main.py | betaros/traffic_sign | 6f5ef4afb7093c929cc2e94c7f72daebbd149b7e | [
"MIT"
] | null | null | null | dev/Main.py | betaros/traffic_sign | 6f5ef4afb7093c929cc2e94c7f72daebbd149b7e | [
"MIT"
] | null | null | null | dev/Main.py | betaros/traffic_sign | 6f5ef4afb7093c929cc2e94c7f72daebbd149b7e | [
"MIT"
] | null | null | null | """
This project trains an AI to detect german traffic signs and sends the recognized signs to ros
TODO:
- interpolate ROI from CSV to new dimensions
- integrate ROS platform
Authors: Jan Fuesting
Last edited: 10.09.2018
"""
import os
from Misc import Misc
from Recognition import Recognition
from Training ... | 26.229508 | 94 | 0.6625 |
3d5730922653f73050d5a2f1034fef8c52da424a | 36,010 | py | Python | Contrib-Microsoft/Olympus_rack_manager/python-ocs/ocscli/ocs_help.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/ocscli/ocs_help.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/ocscli/ocs_help.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | # Copyright (C) Microsoft Corporation. All rights reserved.
# 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 2
# of the License, or (at your option) any later version.
# -*- codi... | 37.549531 | 117 | 0.468148 |
a14126dee8fc2cc2efd0dbc94b59b341f938d3ef | 6,268 | py | Python | src/onegov/election_day/import_export/mappings.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/import_export/mappings.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/import_export/mappings.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """
Following mappings should be used to map csv headers and database columns
for import and export.
Keys are the columns from the CSV Files, values are col names returned by
database query.
For complex queries, it is much better to write them in pure sql. Return
the table as named tuples and work with that and this... | 22.14841 | 73 | 0.650766 |
a1c7272e54f7d623c71ac1264cc2f213a4e257cf | 1,367 | py | Python | PYTHON/Regex_and_Parsing/validating_roman_numerals.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Regex_and_Parsing/validating_roman_numerals.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Regex_and_Parsing/validating_roman_numerals.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import re
romanNumeralMap = (('M', 1000),
('CM', 900),
('D', 500),
('CD', 400),
('C', 100),
('XC', 90),
('L', 50),
('XL', 40),
('X', 10),
... | 34.175 | 76 | 0.374543 |
3dd29ab89e3c8e03e7b24a187f4319d598092a16 | 11,209 | py | Python | azext_keyvault/keyvault/custom/key_vault_authentication.py | jdmartinez36/azure-keyvault-cli-extension | 4dc674b9c30cac13e27347782c49b3ed7dca2e2f | [
"MIT"
] | 2 | 2019-06-12T13:44:34.000Z | 2020-06-01T13:24:04.000Z | azext_keyvault/keyvault/custom/key_vault_authentication.py | jdmartinez36/azure-keyvault-cli-extension | 4dc674b9c30cac13e27347782c49b3ed7dca2e2f | [
"MIT"
] | 5 | 2018-04-26T01:14:29.000Z | 2021-01-05T00:45:39.000Z | azext_keyvault/keyvault/custom/key_vault_authentication.py | jdmartinez36/azure-keyvault-cli-extension | 4dc674b9c30cac13e27347782c49b3ed7dca2e2f | [
"MIT"
] | 8 | 2018-04-24T22:52:48.000Z | 2021-11-16T06:29:28.000Z | #---------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
#---------------------------------------------------------------------... | 45.938525 | 137 | 0.65385 |
b17998560eadde2b617f54f4f8c38b012fd4d717 | 205 | py | Python | crypto/crypto-srsa/src/script.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | 2 | 2021-08-09T17:08:12.000Z | 2021-08-09T17:08:17.000Z | crypto/crypto-srsa/src/script.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | crypto/crypto-srsa/src/script.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | 1 | 2021-10-09T16:51:56.000Z | 2021-10-09T16:51:56.000Z | from Crypto.Util.number import *
p = getPrime(256)
q = getPrime(256)
n = p * q
e = 0x69420
flag = bytes_to_long(open("flag.txt", "rb").read())
print("n =",n)
print("e =", e)
print("ct =",(flag * e) % n)
| 17.083333 | 51 | 0.595122 |
77381c0d769d2eab87ed55e88da57e456eef7dfd | 4,593 | py | Python | torch/testing/_internal/opinfo_helper.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 183 | 2018-04-06T21:10:36.000Z | 2022-03-30T15:05:24.000Z | torch/testing/_internal/opinfo_helper.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 818 | 2020-02-07T02:36:44.000Z | 2022-03-31T23:49:44.000Z | torch/testing/_internal/opinfo_helper.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 58 | 2018-06-05T16:40:18.000Z | 2022-03-16T15:37:29.000Z | import collections
import warnings
from functools import partial
import torch
from torch.testing._internal.common_cuda import (TEST_CUDA)
from torch.testing._internal.common_dtype import (
all_types_and_complex_and,
all_types_and_complex,
all_types_and_half,
all_types,
complex_types,
floating_a... | 32.807143 | 118 | 0.680819 |
ce0717d21a57e8c90d118dcbaf646efe132c19e2 | 1,396 | py | Python | ___Python/Angela/PyKurs/p05_random/m01_wuerfel.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Angela/PyKurs/p05_random/m01_wuerfel.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Angela/PyKurs/p05_random/m01_wuerfel.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | import random
r = random.Random() #Modul random mit Klasse Random, r=Wuerfel
def wuerfeln():
return r.randint(1, 6)
def lotto():
return r.randint(1, 49)
def muenzwurf():
return r.randint(0, 1) # 0 = Kopf, 1 = Zahl
def wuerfeln2():
return muenzwurf()
print(wuerfeln())
# Test... | 19.388889 | 73 | 0.600287 |
022558bdb423fa46e181a551757ee457d161c7dd | 6,608 | py | Python | src/pepper_ddpg_online_trainer.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/pepper_ddpg_online_trainer.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/pepper_ddpg_online_trainer.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
"""
import tensorflow as tf
import numpy as np
import tflearn
from ddpg.ddpg import build_summaries, ActorNetwork, CriticNetwork, OrnsteinUhlenbeckActionNoise, ReplayBuffer, \
getReward
from src.BallTracker import ballTracker
from src.Pepper import Pepper
from src.Pepper.Pepper import... | 34.778947 | 113 | 0.533596 |
0cbd80680fb701cb2cd5aab04995f4cfe4bef510 | 3,133 | py | Python | workspace/cogrob/service_manager/model/fake_docker_py.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 8 | 2019-05-07T02:30:58.000Z | 2021-12-10T18:44:45.000Z | workspace/cogrob/service_manager/model/fake_docker_py.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 1 | 2021-03-17T07:18:23.000Z | 2021-03-17T07:18:23.000Z | workspace/cogrob/service_manager/model/fake_docker_py.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 2 | 2019-05-21T14:15:24.000Z | 2022-02-09T12:50:24.000Z | # Copyright (c) 2019, The Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, thi... | 40.166667 | 79 | 0.737312 |
0b6962b42ca999113262e875d058129ce24dc95c | 661 | py | Python | src/onegov/user/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/user/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger('onegov.user') # noqa
log.addHandler(logging.NullHandler()) # noqa
from translationstring import TranslationStringFactory
_ = TranslationStringFactory('onegov.user') # noqa
from onegov.user.auth import Auth
from onegov.user.collections import UserCollection
from onegov.user.c... | 26.44 | 55 | 0.770045 |
f03003f73c20fa73fd1b16b23e13a11eac685cce | 2,876 | py | Python | pytest/devices/test_rfid_keyboard.py | andino-systems/andinopy | 28fc09fbdd67dd690b9b3f80f03a05c342c777e1 | [
"Apache-2.0"
] | null | null | null | pytest/devices/test_rfid_keyboard.py | andino-systems/andinopy | 28fc09fbdd67dd690b9b3f80f03a05c342c777e1 | [
"Apache-2.0"
] | null | null | null | pytest/devices/test_rfid_keyboard.py | andino-systems/andinopy | 28fc09fbdd67dd690b9b3f80f03a05c342c777e1 | [
"Apache-2.0"
] | null | null | null | # _ _ _
# / \ _ __ __| (_)_ __ ___ _ __ _ _
# / _ \ | '_ \ / _` | | '_ \ / _ \| '_ \| | | |
# / ___ \| | | | (_| | | | | | (_) | |_) | |_| |
# /_/ \_\_| |_|\__,_|_|_| |_|\___/| .__/ \__, |
# |_| |___/
# by Jakob Groß
import sys
import t... | 31.955556 | 97 | 0.565369 |
b2e2c67c8d981f61d760b64ca4de2d070c3d9efd | 839 | py | Python | BITs/2014/Shmireychik_S_V/task_7_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Shmireychik_S_V/task_7_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/Shmireychik_S_V/task_7_17.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №7. Вариант 17
#Программа в которой компьютер загадывает название одного из пяти космических челноков проекта Спейс шаттл, а игрок должен его угадать.
#Если он угадывает,то получает баллы. Если не угадывает,то отномаются.
#Шмирейчик С.В.
#01.04.2016
import random
SpaceShuttles=('Колумбия','Челленджер... | 33.56 | 136 | 0.735399 |
0453d24f5ad24d7fddb6040a6a4969a1cc8dcdfc | 307 | py | Python | exercises/zh/exc_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/exc_01_08_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/exc_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("zh_core_web_sm")
text = "写入历史了：苹果是美国第一家市值超过一万亿美元的上市公司。"
# 处理文本
doc = ____
for token in doc:
# 获取词符文本、词性标注及依存关系标签
token_text = ____.____
token_pos = ____.____
token_dep = ____.____
# 规范化打印的格式
print(f"{token_text:<12}{token_pos:<10}{token_dep:<10}")
| 18.058824 | 60 | 0.680782 |
acb840d0a0fb5fd2a00b2203e4c42ce13fda0033 | 10,579 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/edgesInDistricts.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/edgesInDistricts.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/edgesInDistricts.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) 2007-2020 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... | 50.617225 | 116 | 0.556291 |
7663425b68b7527889b4ebdf44ca5be51741c84a | 6,953 | py | Python | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/data_entity_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/data_entity_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-data-kernel/src/watchmen_data_kernel/storage/data_entity_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from abc import abstractmethod
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
from watchmen_auth import PrincipalService
from watchmen_data_kernel.topic_schema import TopicSchema
from watchmen_model.admin import Topic
from watchmen_model.common import Pageable, TenantId
from watchmen... | 32.643192 | 114 | 0.773048 |
76820d15e20b67d348882395aa318736b0fbc3da | 2,218 | py | Python | sketches/pandemie_simulation/human.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/pandemie_simulation/human.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/pandemie_simulation/human.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | from random import randint
class Human:
def __init__(self, x, y):
self.x = x
self.y = y
self.radius = 5
self.state = 0 # State: 0 = normal, 1 = infected, 2 = recovered, 3 = dead
self.time_to_cure = 2000
self.chance_to_die = 0.25
self.movement_ra... | 41.074074 | 90 | 0.512173 |
4fcd0e7c5afdccc5ec247a388e26e5450b2b6d5c | 1,399 | py | Python | start.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | start.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | start.py | dreaming-coder/RadarSet | c912298d0d6058c6647986524e5d95a205b51c1d | [
"MIT"
] | null | null | null | from service.DatasetService import create_dataset_with_rainy_days, create_extrapolation_dataset
from service.MeteorologyService import extract_meteorology, compute_rain_6_min
from src.log import logger
from service import filter_sequence
from service.RadarService import extract_background_noise, extract_systematic_mask... | 34.975 | 95 | 0.664761 |
4ffb8914a43e1d6f36a4efd62e11b5de38374063 | 1,209 | py | Python | Theories/Algorithms/Recursion2/NQueensII/n_queen_ii.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/Algorithms/Recursion2/NQueensII/n_queen_ii.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/Algorithms/Recursion2/NQueensII/n_queen_ii.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | # Backtracking
# def totalNQueens(self, n: int) -> int:
# diag1 = set()
# diag2 = set()
# used_cols = set()
#
# return self.helper(n, diag1, diag2, used_cols, 0)
#
#
# def helper(self, n, diag1, diag2, used_cols, row):
# if row == n:
# return 1
#
# solutions = 0
#
# for col in range(... | 22.811321 | 74 | 0.529363 |
d739efad8d4d3a11ccbfdc0f0f99510f5635612c | 2,558 | py | Python | hxpctf2020/nanothorpe/octothorpe.py | TalaatHarb/ctf-writeups | afeeb640e04834ecb91b8562d3bb44e693b36eb0 | [
"Apache-2.0"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | HXP/2020/crypto/octothorpe/octothorpe.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | HXP/2020/crypto/octothorpe/octothorpe.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 math
class octothorpe:
digest_size = 16
block_size = 64
name = "octothorpe"
state_size = 16
shift_count = 64
round_count = 20
initial_state = bytearray.fromhex('00112233445566778899aabbccddeeff')
function = lambda i: math.cos(i ** 3)
sbox = sorted(ra... | 43.355932 | 143 | 0.60516 |
ad59ac01bbffbc37f6e707f41f1443be06e4b1ac | 1,187 | py | Python | Prototype/test.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 4 | 2019-12-03T16:13:09.000Z | 2019-12-11T23:22:58.000Z | Prototype/test.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 65 | 2019-12-08T17:43:59.000Z | 2020-08-14T15:26:21.000Z | Prototype/test.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | null | null | null | from PyQt5 import QtCore, QtGui,QtWidgets
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import sys
class PicButton(QtWidgets.QAbstractButton):
def __init__(self, pixmap, pixmap_hover, pixmap_pressed, parent=None):
super(PicButton, self).__init__(parent)
self.pixmap = pixmap
self.pixm... | 28.261905 | 111 | 0.687447 |
0f5e6f591d81661afd9fad581050ae92d94bbd2e | 1,046 | py | Python | 2imageclassify/ml.py | anjiang2016/rcnn-xilie | d68ead1504732bd92cde59f8246f9bb2ebc6fe5c | [
"MIT"
] | null | null | null | 2imageclassify/ml.py | anjiang2016/rcnn-xilie | d68ead1504732bd92cde59f8246f9bb2ebc6fe5c | [
"MIT"
] | null | null | null | 2imageclassify/ml.py | anjiang2016/rcnn-xilie | d68ead1504732bd92cde59f8246f9bb2ebc6fe5c | [
"MIT"
] | null | null | null | from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score
import pdb
pdb.set_trace()
# Load dataset
data = load_breast_cancer()
# Organize our data
label_names = data['target_names']
labels... | 25.512195 | 74 | 0.654876 |
7e1f03280acd726bd3ebe2c693966ddd427d05bb | 6,218 | py | Python | 21-fs-ias-lec/03-BACnetCore/src/core/security/verification.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/security/verification.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/security/verification.py | cn-uofbasel/BCN | 2d0852e00f2e7f3c4f7cf30f60c6765f2761f80a | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | from ..storage.database_handler import DatabaseHandler, UnknownFeedError
from .crypto import check_signature, check_in_order, check_content_integrity
from ..interface.event import Event
from ...log import create_logger
logger = create_logger('Verification')
class Verification:
"""
This class is used by the s... | 40.376623 | 132 | 0.635252 |
0e41be2711888ce53a421b2c3efcf58864ce7194 | 8,933 | py | Python | MainWindow.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | MainWindow.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | MainWindow.py | siej88/FuzzyACO | 989a58049c8417cd023cfc312fb99d2649333ca7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
UNIVERSIDAD DE CONCEPCION
Departamento de Ingenieria Informatica y
Ciencias de la Computacion
Memoria de Titulo Ingenieria Civil Informatica
DETECCION DE BORDES EN IMAGENES DGGE USANDO UN
SISTEMA HIBRIDO ACO CON LOGICA DIFUSA
Autor: Sebastian Ignacio Espinoza Jimenez
Patrocinant... | 40.604545 | 150 | 0.622411 |
0e9fb181ad75d8dffaac52fad7d12c958be0b975 | 864 | py | Python | rating/resolvable.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 19 | 2018-04-20T11:03:41.000Z | 2022-01-12T20:58:56.000Z | rating/resolvable.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 160 | 2018-04-05T16:12:59.000Z | 2022-03-01T13:01:27.000Z | rating/resolvable.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 8 | 2018-11-05T13:07:57.000Z | 2021-06-11T11:46:43.000Z | """
This gives a score if one of the input URL's hostnames was resolvable
"""
from rating.abstract_rater import AbstractRater
class Rater(AbstractRater):
rating_type = 'boolean'
default_value = False
depends_on_checks = ['dns_resolution']
max_score = 1
def __init__(self, check_results):
... | 24 | 76 | 0.574074 |
add1ea8b55214591c4e163ad791eba3da2af07fb | 403 | py | Python | hvliotyamls/domocup.py | feykmeelyahoo/k8siot | 51cb8924602ec405ceff4b4627da7e52a84ca10c | [
"Apache-2.0"
] | 1 | 2019-06-21T21:17:36.000Z | 2019-06-21T21:17:36.000Z | hvliotyamls/domocup.py | feykmeelyahoo/k8siot | 51cb8924602ec405ceff4b4627da7e52a84ca10c | [
"Apache-2.0"
] | null | null | null | hvliotyamls/domocup.py | feykmeelyahoo/k8siot | 51cb8924602ec405ceff4b4627da7e52a84ca10c | [
"Apache-2.0"
] | null | null | null |
import paho.mqtt.client as mqtt
from time import sleep
import random
broker="test.mosquitto.org"
topic_pub='v1/devices/me/telemetry'
client = mqtt.Client()
client.username_pw_set("C1_TEST_TOKEN")
client.connect('104.248.38.58', 31629, 1)
for i in range(50000):
x = random.randrange(20, 100)
print x
msg... | 19.190476 | 41 | 0.687345 |
70c636e22f18c48ebe676cb13bcb75038e11020f | 523 | py | Python | leetcode/311-Sparse-Matrix-Multiplication/SparseMatMul_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-04-07T15:08:53.000Z | 2016-04-07T15:08:53.000Z | leetcode/311-Sparse-Matrix-Multiplication/SparseMatMul_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/311-Sparse-Matrix-Multiplication/SparseMatMul_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def multiply(self, A, B):
"""
:type A: List[List[int]]
:type B: List[List[int]]
:rtype: List[List[int]]
"""
m, q, n = len(A), len(B), len(B[0])
# C = [[0] * n] * m
C = [[0] * n for _ in range(m)]
for i in range(m):
... | 29.055556 | 56 | 0.34608 |
aae24d481b1bb2589f4a8018c9cac83485043b24 | 812 | py | Python | pocketthrone/tools/imagetomap.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | 4 | 2016-06-05T16:48:04.000Z | 2020-03-23T20:06:06.000Z | pocketthrone/tools/imagetomap.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | pocketthrone/tools/imagetomap.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | image_path = "../../westeros.tif"
mod_name= "westeros"
map_name = "westeros_full"
WATER = (0, 138, 255)
GRASS = (0, 198, 16)
FOREST = (16, 138, 25)
MOUNTAINS = (123, 125, 123)
DIRT = (165, 125, 82)
from PIL import Image
image = Image.open(image_path)
width = image.size[0]
height = image.size[1]
lines = []
pix = im... | 19.333333 | 77 | 0.597291 |
2ad7db7e11492e61be2b4349fa43d2a74235c663 | 721 | py | Python | display/_information_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_information_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_information_menu_view.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | from ._button_lights import ButtonLights
from ._view import View
from ._display import Display
from information import get_ip_address
information_menu_view_name = "information_menu_view"
class InformationMenuView(View):
def __init__(self, button_lights: ButtonLights):
super().__init__(button_lights)
... | 25.75 | 61 | 0.693481 |
2dc50c05bb3437d4ca9383ffff609a09e691c741 | 1,075 | py | Python | books/PythonAutomate/csv_json_files/csv_remove_header.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/csv_remove_header.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/csv_remove_header.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """csv_remove_header.py
removeCsvHeader 디렉터리에 있는
CSV 파일들의 헤더 없애고
header_removed 디렉터리에 생성
"""
import os
import csv
os.makedirs("header_removed", exist_ok=True)
# Loop through every file in the current working directory
dir_name = "removeCsvHeader"
for folder, sub_folder, file_names in os.walk(dir_name):
for file_n... | 29.861111 | 87 | 0.647442 |
930775f639dde6a3ebe5fb36f838e916ab74d25d | 2,258 | py | Python | src/user/views.py | oguzhanakan0/covidlab-server | 68ea4e6cd3b1244117ae43275335896b911a9b2a | [
"MIT"
] | null | null | null | src/user/views.py | oguzhanakan0/covidlab-server | 68ea4e6cd3b1244117ae43275335896b911a9b2a | [
"MIT"
] | 1 | 2022-03-25T05:33:19.000Z | 2022-03-25T05:33:19.000Z | src/user/views.py | oguzhanakan0/covidlab-server | 68ea4e6cd3b1244117ae43275335896b911a9b2a | [
"MIT"
] | null | null | null | import json
import firebase_admin
from firebase_admin import credentials
from firebase_admin import auth
from django.http import JsonResponse
from .models import User
from django.forms.models import model_to_dict
import datetime
from django.utils import timezone
# cred = credentials.Certificate("/Users/oguzhanakan/Des... | 33.205882 | 134 | 0.615146 |
9318698c7ccd2eb4c0aea1440b8fad256f8cbb98 | 318 | py | Python | python/coursera_python/WESLEYAN/week4/t_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/WESLEYAN/week4/t_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/WESLEYAN/week4/t_1.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | def problem4_1(wordlist):
print(wordlist)
wordlist.sort(key=str.lower)
print(wordlist)
#firstline = ["Happy", "families", "are", "all", "alike;", "every", \
# "unhappy", "family", "is", "unhappy", "in", "its", "own", \
# "way.", "Leo Tolstoy", "Anna Karenina"]
#problem4_1(firstline)
| 26.5 | 74 | 0.572327 |
35e6dbcd2288a59185fde172b48ed1238fd92372 | 715 | py | Python | Raspberry-Pi/flask_socketio_motion/app.py | AravindVasudev/code-dump | 9b67c3cd1e8673b5ce4a90e5b17d69c82ad55298 | [
"MIT"
] | null | null | null | Raspberry-Pi/flask_socketio_motion/app.py | AravindVasudev/code-dump | 9b67c3cd1e8673b5ce4a90e5b17d69c82ad55298 | [
"MIT"
] | 1 | 2021-06-01T21:51:54.000Z | 2021-06-01T21:51:54.000Z | Raspberry-Pi/flask_socketio_motion/app.py | AravindVasudev/code-dump | 9b67c3cd1e8673b5ce4a90e5b17d69c82ad55298 | [
"MIT"
] | null | null | null | from flask import Flask, render_template
from flask_socketio import SocketIO
import RPi.GPIO as GPIO
import threading
import time
# RPi GPIO init
MOTION_SENSOR = 18
GPIO.setmode(GPIO.BCM)
GPIO.setup(MOTION_SENSOR, GPIO.IN)
# App Instance
app = Flask(__name__)
app.config['SECRET_KEY'] = 'shamballa'
# SocketIO init
so... | 19.324324 | 58 | 0.714685 |
17a9d7f41076d1586bd7efd430cb6a446a70fc4e | 1,957 | py | Python | cs/lambda_cs/08_interview_prep/notes/merge_point_of_two_linked_lists.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/08_interview_prep/notes/merge_point_of_two_linked_lists.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/08_interview_prep/notes/merge_point_of_two_linked_lists.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | # SinglyLinkedListNode:
# int data
# SinglyLinkedListNode next
#
#
def findMergeNode(head1, head2):
# the data on the linked list nodes might not be unique
# we can't rely on just checking the data in each node
# as with any node-based data structure, each node is a unique
# region in memory ... | 32.616667 | 76 | 0.625447 |
aa05631a42f72d4c0233c244c13b2a0dbd784244 | 3,419 | py | Python | ryu/app/otherApp/topo/four_con_topo.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | ryu/app/otherApp/topo/four_con_topo.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | ryu/app/otherApp/topo/four_con_topo.py | yuesir137/SDN-CLB | 58b12a9412cffdf2945440528b1885c8899edd08 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import time
import math
from mininet.net import Mininet
from mininet.node import Controller, OVSKernelSwitch, RemoteController,OVSSwitch
from mininet.cli import CLI
from mininet.log import setLogLevel, info
from mininet.link import TCLink,Link
from mininet.topo import Topo
class MyTopo(Topo):
"... | 31.953271 | 87 | 0.537877 |
d8364e4d2924d5a322c6a06f1820af4fc79d8116 | 226 | py | Python | monitoring/prometheus/aliyun-exporter/aliyun_exporter/utils.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 264 | 2018-12-09T13:41:45.000Z | 2022-02-08T07:10:02.000Z | monitoring/prometheus/aliyun-exporter/aliyun_exporter/utils.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 42 | 2018-12-11T10:20:57.000Z | 2019-10-25T09:56:22.000Z | monitoring/prometheus/aliyun-exporter/aliyun_exporter/utils.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 154 | 2018-12-11T02:12:01.000Z | 2022-03-25T03:45:54.000Z | def format_metric(text: str):
return text.replace('.', '_')
def format_period(text: str):
return text.split(',', 1)[0]
def try_or_else(op, default):
try:
return op()
except:
return default
| 15.066667 | 33 | 0.59292 |
dca0873ee77bf96a58b34a24592907bde7d7015f | 49 | py | Python | docker-desktop/vnc/docker-ubuntu-vnc-desktop/image/usr/local/lib/web/backend/vnc/log.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 2,917 | 2015-01-20T15:26:36.000Z | 2022-03-31T18:15:11.000Z | docker-desktop/vnc/docker-ubuntu-vnc-desktop/image/usr/local/lib/web/backend/vnc/log.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 232 | 2015-03-02T18:15:32.000Z | 2022-03-25T17:32:20.000Z | docker-desktop/vnc/docker-ubuntu-vnc-desktop/image/usr/local/lib/web/backend/vnc/log.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 1,232 | 2015-01-07T21:55:35.000Z | 2022-03-29T15:51:18.000Z | import logging
log = logging.getLogger('novnc2')
| 16.333333 | 33 | 0.77551 |
762cbea4315072d4f6d8097ec6dfd0bcecf842e8 | 3,231 | py | Python | pba.py | vasmedvedev/automation | 98cdf5c577fc4dd57b2d9b7ccfd96e849394cc95 | [
"MIT"
] | null | null | null | pba.py | vasmedvedev/automation | 98cdf5c577fc4dd57b2d9b7ccfd96e849394cc95 | [
"MIT"
] | null | null | null | pba.py | vasmedvedev/automation | 98cdf5c577fc4dd57b2d9b7ccfd96e849394cc95 | [
"MIT"
] | null | null | null | import re
import hashlib
from abstract import Proxy
class PBAProxy(Proxy):
def get_order_status(self, order_id):
response = self.proxy.Execute({
'methodName': 'Execute',
'Server': 'BM',
'Method': 'GetOrder_API',
'Params': [order_id]
})
retu... | 31.990099 | 125 | 0.557722 |
522c5209ff988d2d907955873048cc48c4ffc959 | 810 | py | Python | Datastructures/BinarySearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | Datastructures/BinarySearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | Datastructures/BinarySearch.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | #binary search
class BinarySearch:
def __init__(self):
self.elements = [10,12,15,18,19,22,27,32,38]
def SearchElm(self,elem):
start = 0
stop = len(self.elements)-1
while start <= stop:
mid_point = start + (stop - start)
if self.elements[mid_point] == ... | 22.5 | 71 | 0.550617 |
5ec618baaa19cdb2c7b27b33ac1bfb9f081b82c6 | 318 | py | Python | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C10SortingSearching/questions/10.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Sparse Search
# Given a sorted array of strings that is interspersed with empty strings,
# write a method to find the location of a given string.
# EXAMPLE: INPUT: ball, {"at", "", "", "", "ball", "", "", "car", "", "", "dad", "", ""}
# OUTPUT: 4
# time complexity: O()
# space complexity: O()
| 28.909091 | 90 | 0.569182 |
0da51da16a4897ea63ca337d5623314681897ad9 | 22,301 | py | Python | src/Sephrasto/CharakterAssistent/CharakterMerger.py | Ilaris-Tools/Sephrasto | 8574a5b45da8ebfa5f69a775066fd3136da1c718 | [
"MIT"
] | 1 | 2022-02-02T16:15:59.000Z | 2022-02-02T16:15:59.000Z | src/Sephrasto/CharakterAssistent/CharakterMerger.py | Ilaris-Tools/Sephrasto | 8574a5b45da8ebfa5f69a775066fd3136da1c718 | [
"MIT"
] | 1 | 2022-01-14T11:04:19.000Z | 2022-01-14T11:04:19.000Z | src/Sephrasto/CharakterAssistent/CharakterMerger.py | lukruh/Sephrasto | 8574a5b45da8ebfa5f69a775066fd3136da1c718 | [
"MIT"
] | null | null | null | from Charakter import VariableKosten
from CharakterAssistent import ChoicePopupWrapper
from CharakterAssistent import VariantPopupWrapper
from CharakterAssistent import Choice
import Fertigkeiten
import Objekte
import Definitionen
from Wolke import Wolke
import lxml.etree as etree
import logging
from Hilfsmethoden impo... | 42.804223 | 148 | 0.561724 |
219656bac307d20f56a5991c512e626b33734287 | 6,390 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/output/stopOrder.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/output/stopOrder.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/output/stopOrder.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) 2012-2020 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... | 39.9375 | 108 | 0.582786 |
df39fdf12ff148cc0beb60caa1acb7ae05fea6ac | 179 | py | Python | aemter/apps.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | src/aemter/apps.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | src/aemter/apps.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.apps import AppConfig
class AemterConfig(AppConfig):
name = 'aemter'
verbose_name = "Funktionen"
def ready(self):
import aemter.signals.handlers | 19.888889 | 38 | 0.703911 |
10c772285aaeb0d6677c7749b86ae04d825ae700 | 961 | py | Python | django/eventlr/urls.py | cyberjacob/Eventlr | a1474ab73d50b08d4bd21ec83830105b2632ecfa | [
"MIT"
] | null | null | null | django/eventlr/urls.py | cyberjacob/Eventlr | a1474ab73d50b08d4bd21ec83830105b2632ecfa | [
"MIT"
] | null | null | null | django/eventlr/urls.py | cyberjacob/Eventlr | a1474ab73d50b08d4bd21ec83830105b2632ecfa | [
"MIT"
] | null | null | null | from django.conf.urls import patterns, include, url
from django.views.generic.simple import direct_to_template
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
url(r'^$', 'web.pages.index', name='home'),
#url(r... | 36.961538 | 84 | 0.686785 |
10da973171bb37f5d0352fc2be41145f34d9fa45 | 711 | py | Python | weibo/test/testNoneString.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testNoneString.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | weibo/test/testNoneString.py | haiboz/weiboSpider | 517cae2ef3e7bccd9e1d328a40965406707f5362 | [
"Apache-2.0"
] | null | null | null | #coding:utf8
'''
Created on 2016年4月21日
@author: wb-zhaohaibo
'''
import re
import time
tt1 = time.time()
ss = ""
if ss == "":
print "tyee"
else:
print "ss"
s1 = "dasddfghasd"
aa = s1.find("asgg")
print aa
data = {}
if data is None:
print "None"
else:
print "not None "
... | 12.927273 | 50 | 0.537271 |
985466718ea19d727090d945721c5cf8efabcc11 | 946 | py | Python | .circleci/cimodel/data/simple/util/docker_constants.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 2 | 2020-03-13T06:57:49.000Z | 2020-05-17T04:18:14.000Z | .circleci/cimodel/data/simple/util/docker_constants.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 14 | 2021-10-14T06:58:50.000Z | 2021-12-17T11:51:07.000Z | .circleci/cimodel/data/simple/util/docker_constants.py | vuanvin/pytorch | 9267fd8d7395074001ad7cf2a8f28082dbff6b0b | [
"Intel"
] | 2 | 2019-07-23T14:37:31.000Z | 2019-07-23T14:47:13.000Z | AWS_DOCKER_HOST = "308535385114.dkr.ecr.us-east-1.amazonaws.com"
def gen_docker_image(container_type):
return (
"/".join([AWS_DOCKER_HOST, "pytorch", container_type]),
f"docker-{container_type}",
)
def gen_docker_image_requires(image_name):
return [f"docker-{image_name}"]
DOCKER_IMAGE_BA... | 27.823529 | 80 | 0.769556 |
89f68980f41017691cda4f97e512738b4488d211 | 459 | py | Python | doc/examples/issues/issue29_blocks_classes.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/examples/issues/issue29_blocks_classes.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | tmp/analyses/examples/7_issue29_blocks_classes.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | """
See https://foss.heptapod.net/fluiddyn/transonic/issues/6
"""
from transonic import boost, with_blocks, block
def non_pythranizable(arg):
"""represent a function that can not be compiled by Pythran"""
return arg
@boost
class MyClass:
attr0: int
@with_blocks
def func(self, arg: int):
... | 17 | 66 | 0.647059 |
c398da15ba7665d863d31a8d3826753bba2c5235 | 3,128 | py | Python | modules/short_url_generator.py | NETMVAS/feecc-agent-geoscan | 93fc5766a4a2f588aaa173779bb6bd0928682e58 | [
"Apache-2.0"
] | 1 | 2021-05-13T09:03:51.000Z | 2021-05-13T09:03:51.000Z | modules/short_url_generator.py | arseniiarsenii/robonomics_qa_geoscan | 93fc5766a4a2f588aaa173779bb6bd0928682e58 | [
"Apache-2.0"
] | null | null | null | modules/short_url_generator.py | arseniiarsenii/robonomics_qa_geoscan | 93fc5766a4a2f588aaa173779bb6bd0928682e58 | [
"Apache-2.0"
] | 1 | 2021-05-24T15:45:01.000Z | 2021-05-24T15:45:01.000Z | import ast
import logging
import requests
import typing as tp
# set up logging
logging.basicConfig(
level=logging.INFO,
filename="agent.log",
format="%(asctime)s %(levelname)s: %(message)s"
)
def generate_short_url(config: tp.Dict[str, tp.Dict[str, tp.Any]]) -> tp.Tuple[tp.Any, tp.Any]:
"""
:para... | 42.27027 | 119 | 0.632673 |
c3d578834a8ee00ecd0800a3c4c8bc938b73638b | 1,695 | py | Python | sketches/aquarium/fish.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/aquarium/fish.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/aquarium/fish.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | from random import randint
class Fish():
def __init__(self):
no = str(randint(1, 7))
self.imr0 = loadImage("fish" + no + "_r0.png")
self.iml0 = loadImage("fish" + no + "_l0.png")
self.imr1 = loadImage("fish" + no + "_r1.png")
self.iml1 = loadImage("fish" + no + "_l1.png... | 33.235294 | 78 | 0.484366 |
1454a8fd107a8bd82cabb097a6d126b7fac51b52 | 1,607 | py | Python | labeldcm/module/config.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | 1 | 2021-12-20T11:06:42.000Z | 2021-12-20T11:06:42.000Z | labeldcm/module/config.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | labeldcm/module/config.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | class Config(object):
def __init__(self):
# Font Size
# 1. Index, Distance, Degree
self.fontSize = 10
# Font Family
# 1. Index, Distance, Degree
self.fontFamily = 'Consolas'
# Shifting
# 1. Index
self.indexShifting = 3
# 2. Distance
... | 22.633803 | 80 | 0.476042 |
b4bf1339ca61d039037c787506fd86004616c463 | 5,316 | py | Python | pocketthrone/managers/mapmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | 4 | 2016-06-05T16:48:04.000Z | 2020-03-23T20:06:06.000Z | pocketthrone/managers/mapmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | pocketthrone/managers/mapmanager.py | herrschr/pocket-throne | 819ebae250f45b0a4b15a8320e2836c0b5113528 | [
"BSD-2-Clause"
] | null | null | null | __all__ = ('MapManager')
from pocketthrone.tools.maploader import MapLoader
from pocketthrone.managers.pipe import L
from pocketthrone.managers.filemanager import FileManager
from pocketthrone.managers.eventmanager import EventManager
from pocketthrone.entities.event import *
from pocketthrone.entities.enum import Til... | 31.832335 | 86 | 0.727803 |
d332a2f8234c0d7acb92e4b0a6de624d5d3cdcb7 | 681 | py | Python | runners/great_expectations/expectations.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | runners/great_expectations/expectations.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | runners/great_expectations/expectations.py | omio-labs/richterin | c4165fe4910a556f5bba3c7224fed6d35c3fea57 | [
"MIT"
] | null | null | null | from enum import Enum
from functools import partial
from typing import Dict, Any
from great_expectations.dataset import SqlAlchemyDataset
def not_null(dataset: SqlAlchemyDataset, options: Dict[str, Any]):
return dataset.expect_column_values_to_not_be_null(**options)
def is_null(dataset: SqlAlchemyDataset, opti... | 28.375 | 72 | 0.792952 |
d35ac025aec40d554b97a04656ddcfe76d32578c | 3,379 | py | Python | parkhaeuser/city_template.py | socialdistancingdashboard/virushack | 6ef69d26c5719d0bf257f4594ed2488dd73cdc40 | [
"Apache-2.0"
] | 29 | 2020-03-21T00:47:51.000Z | 2021-07-17T15:50:33.000Z | parkhaeuser/city_template.py | socialdistancingdashboard/virushack | 6ef69d26c5719d0bf257f4594ed2488dd73cdc40 | [
"Apache-2.0"
] | 7 | 2020-03-21T14:04:26.000Z | 2022-03-02T08:05:40.000Z | parkhaeuser/city_template.py | socialdistancingdashboard/virushack | 6ef69d26c5719d0bf257f4594ed2488dd73cdc40 | [
"Apache-2.0"
] | 13 | 2020-03-21T01:08:08.000Z | 2020-04-08T17:21:11.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 31 11:33:53 2020
@author: Peter
"""
import time
from bs4 import BeautifulSoup
from selenium import webdriver
"""Template für das Scrapen der Parkhausauslastung eines Landkreises von einer Website.
An den durch Kommentare gekennzeichneten Stellen im Code müss... | 32.490385 | 106 | 0.534478 |
9f495cb328605ae2af8b6c7294fd0eb84e099243 | 1,342 | py | Python | PizzaTime/main.py | MolarFox/PizzaTime | d2a6d134164c1f633a25015380cb912b50da5960 | [
"MIT"
] | null | null | null | PizzaTime/main.py | MolarFox/PizzaTime | d2a6d134164c1f633a25015380cb912b50da5960 | [
"MIT"
] | null | null | null | PizzaTime/main.py | MolarFox/PizzaTime | d2a6d134164c1f633a25015380cb912b50da5960 | [
"MIT"
] | null | null | null | import json
import math
# Store input numbers
total_lexis = int(input('How many lexis: '))
# Display the sum
print(f"Wait while we do some quik maffs for {total_lexis} lexis")
minimum_lexis = 15
extra_lexis = total_lexis - minimum_lexis
bonus_garlic = math.ceil(extra_lexis/5)
bonus_wildcards = math.floor(extra_lexis/... | 23.54386 | 66 | 0.640089 |
9f4e9fb247e5fc4cf3a6bf2eb38c2f887605e8a8 | 588 | py | Python | contrib/dns-seeder/test.py | dmitriy79/IDC-CORE | 211f7a7470cd341aa322166619bfca57d75260b8 | [
"MIT"
] | 4 | 2019-07-07T13:28:08.000Z | 2020-06-04T18:02:27.000Z | contrib/dns-seeder/test.py | dmitriy79/IDC-CORE | 211f7a7470cd341aa322166619bfca57d75260b8 | [
"MIT"
] | null | null | null | contrib/dns-seeder/test.py | dmitriy79/IDC-CORE | 211f7a7470cd341aa322166619bfca57d75260b8 | [
"MIT"
] | 2 | 2020-03-07T02:25:32.000Z | 2020-03-18T22:31:40.000Z | import socket
seeders = [
'dseed1.id-chain.org',
'dseed2.id-chain.org',
'dseed3.id-chain.org',
'dseed4.id-chain.org',
'dseed5.id-chain.org',
'dseed6.id-chain.org'
]
for seeder in seeders:
try:
ais = socket.getaddrinfo(seeder, 0)
except socket.gaierror:
ais = []
... | 21.777778 | 49 | 0.561224 |
4cac1262231b22f73aa9690e0c55844686fa3281 | 347 | py | Python | platform/mcu/haas1000/prebuild/data/python-apps/driver/spi/main.py | NEXTLEO/AliOS-Things | 117ca103144a7bf6a394455bcc59698b7e1dd79d | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | platform/mcu/haas1000/prebuild/data/python-apps/driver/spi/main.py | NEXTLEO/AliOS-Things | 117ca103144a7bf6a394455bcc59698b7e1dd79d | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | components/py_engine/tests/haas/HaaSEdu/python-apps/driver/spi/main.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z |
from driver import SPI
print("-------------------spi test--------------------")
spi = SPI()
spi.open("SPI0")
readBuf = bytearray(3)
writeBuf = bytearray([0x9f])
print(writeBuf)
print(readBuf)
value = spi.sendRecv(writeBuf, readBuf)
print(value)
print(writeBuf)
print(readBuf)
spi.close()
print("-------------------spi ... | 20.411765 | 56 | 0.567723 |
4cf5afdead66cdb72223f52344a4682c5cd3fbb5 | 3,176 | py | Python | cloud/aws/stage3/jobs/dev/session-loader/jhapi_io.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 6 | 2018-06-27T00:09:55.000Z | 2019-03-07T14:06:53.000Z | cloud/aws/stage3/jobs/dev/session-loader/jhapi_io.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2021-03-31T18:37:46.000Z | 2021-06-01T21:49:41.000Z | cloud/aws/stage3/jobs/dev/session-loader/jhapi_io.py | cloud-cds/cds-stack | d68a1654d4f604369a071f784cdb5c42fc855d6e | [
"Apache-2.0"
] | 3 | 2020-01-24T16:40:49.000Z | 2021-09-30T02:28:55.000Z | import grequests
import json
import datetime as dt
import logging
import pytz
SERVERS = {
'test': 'https://api-test.jh.edu/internal/v2/clinical',
'stage': 'https://api-stage.jh.edu/internal/v2/clinical',
'prod': 'https://api.jh.edu/internal/v2/clinical',
# POST-only internal servers
'internal-test... | 44.732394 | 166 | 0.600441 |
392215c0171723645da1b1a478d791ca51b97442 | 418 | py | Python | longest-palindrome/longest-palindrome.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | longest-palindrome/longest-palindrome.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | longest-palindrome/longest-palindrome.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def longestPalindrome(self, s: str) -> int:
str_dict={}
for each in s:
if each not in str_dict:
str_dict[each]=0
str_dict[each]+=1
result=0
odd=0
for k, v in str_dict.items():
if v%2==0:
resul... | 26.125 | 47 | 0.433014 |
1a56cea58fb740fcf1e8fbb537fc140ffc58ad82 | 261 | py | Python | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P05_AccountBalance.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P05_AccountBalance.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Lab/Solutions/P05_AccountBalance.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | total = 0
line = input()
while line != "NoMoreMoney":
current = float(line)
if current < 0:
print("Invalid operation!")
break
total += current
print(f"Increase: {current:.2f}")
line = input()
print(f"Total: {total:.2f}")
| 16.3125 | 37 | 0.570881 |
20347a1d9b2d8647baf65b270ab29304caae7483 | 3,296 | py | Python | nowcast_viz_de/prepare_forecast_data.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | nowcast_viz_de/prepare_forecast_data.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | nowcast_viz_de/prepare_forecast_data.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from pathlib import Path
def process_forecasts(df):
df.loc[df.type == 'quantile', 'quantile'] = 'q' + df.loc[df.type == 'quantile', 'quantile'].astype(str)
df.loc[df.type == 'mean', 'quantile'] = 'mean'
df = df.pivot(index = ['location', 'age_group', 'forecast_date'... | 40.195122 | 131 | 0.632585 |
808ae77129fa40da302f8269d77898d8b75826d7 | 236 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v10_0/update_hub_connector_domain.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v10_0/update_hub_connector_domain.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v10_0/update_hub_connector_domain.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | import frappe
def execute():
if frappe.db.table_exists("Data Migration Connector"):
frappe.db.sql("""
UPDATE `tabData Migration Connector`
SET hostname = 'https://hubmarket.org'
WHERE connector_name = 'Hub Connector'
""") | 26.222222 | 55 | 0.707627 |
ff09f722e3d22b9ea1606eae876d72ea94e22b07 | 437 | py | Python | pacman-arch/test/pacman/tests/upgrade030.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/upgrade030.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/upgrade030.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Upgrade packages with various reasons"
lp1 = pmpkg("pkg1")
lp1.reason = 0
lp2 = pmpkg("pkg2")
lp2.reason = 1
for p in lp1, lp2:
self.addpkg2db("local", p)
p1 = pmpkg("pkg1", "1.0-2")
p2 = pmpkg("pkg2", "1.0-2")
for p in p1, p2:
self.addpkg(p)
self.args = "-U %s" % " ".join([p.filename() for p... | 19.863636 | 64 | 0.647597 |
ff0e3f7dce231bd43a86c057f900a05736af297e | 8,752 | py | Python | Packs/ApiModules/Scripts/IAMApiModule/IAMApiModule_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/ApiModules/Scripts/IAMApiModule/IAMApiModule_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/ApiModules/Scripts/IAMApiModule/IAMApiModule_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from IAMApiModule import *
APP_USER_OUTPUT = {
"user_id": "mock_id",
"user_name": "mock_user_name",
"first_name": "mock_first_name",
"last_name": "mock_last_name",
"active": "true",
"email": "testdemisto2@paloaltonetworks.com"
}
USER_APP_DATA = IAMUserAppData("mock_id", "mock_user_name", is_ac... | 36.016461 | 120 | 0.695727 |
454bec157dda567b20fa093a912cf2ca2019b964 | 496 | py | Python | source/pkgsrc/chat/gajim/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-11-20T22:46:39.000Z | 2021-11-20T22:46:39.000Z | source/pkgsrc/chat/gajim/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | source/pkgsrc/chat/gajim/patches/patch-setup.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | null | null | null | $NetBSD: patch-setup.py,v 1.4 2021/08/10 12:03:37 nia Exp $
Fix man page install location.
--- setup.py.orig 2021-04-24 11:27:40.000000000 +0000
+++ setup.py
@@ -109,7 +109,7 @@ def build_man(build_cmd):
def install_man(install_cmd):
data_files = install_cmd.distribution.data_files
man_dir = build_dir / 'm... | 31 | 59 | 0.657258 |
4555854adf944a13de410ac6276911ac6d1dd55c | 662 | py | Python | Algorithms/2_Implementation/22.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | 1 | 2021-11-25T13:39:30.000Z | 2021-11-25T13:39:30.000Z | Algorithms/2_Implementation/22.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | Algorithms/2_Implementation/22.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/designer-pdf-viewer/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'designerPdfViewer' function below.
#
# The function is expected to return an INTEGER.
# The function accepts following parameters:
# 1. INTEGER_ARRAY h
# 2. ... | 19.470588 | 67 | 0.681269 |
b337abc868321e8eead65370e433751da76b70c6 | 222 | py | Python | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/16.05-Abstract-Class-and-Abstract-Method.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/16.05-Abstract-Class-and-Abstract-Method.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Courses/Python-Tutorials.Telusko/01.Object-Oriented-Programming/16.05-Abstract-Class-and-Abstract-Method.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | from abc import ABC, abstractmethod
class Computer(ABC):
@abstractmethod
def process(self):
pass
class Laptop(Computer):
def process(self):
print("Running")
com1 = Laptop()
com1.process()
| 13.058824 | 35 | 0.648649 |
6406f08c525fc808fca0e1c94a4641520796deea | 8,040 | py | Python | src/onegov/election_day/utils/d3_renderer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/utils/d3_renderer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/utils/d3_renderer.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from base64 import b64decode
from io import BytesIO
from io import StringIO
from onegov.ballot import Ballot
from onegov.ballot import Election
from onegov.ballot import ElectionCompound
from onegov.core.custom import json
from onegov.core.utils import module_path
from onegov.election_day import _
from onegov.election_... | 36.712329 | 77 | 0.572264 |
ff9c50cdd86b3b2cf2d21f790f029bd04d23b67c | 660 | py | Python | Liter_Server/Mybase58.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/Mybase58.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | Liter_Server/Mybase58.py | Drelf2018/Liter | e12ffdd22ee7b2724722c38e852fc9c1b2f180ad | [
"MIT"
] | null | null | null | MAGIC = [20210318223204031831, 1145141919810]
BASE58 = '123456789abcdefghijkmnopqrstuvwxyzABCDEFGHJKLMNPQRSTUVWXYZ'
def encode(msg: str) -> str:
temp = 0
for m in msg:
temp = temp * 256 + ord(m)
temp = (temp ^ MAGIC[0]) + MAGIC[1]
msg = ''
while temp:
msg = BASE58[temp % 58] + msg
... | 21.290323 | 69 | 0.562121 |
443a75f8c75650e7b7aa08d3c49743431fe279f0 | 3,697 | py | Python | haas_lib_bundles/python/docs/examples/broadcast_speaker/haaseduk1/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/broadcast_speaker/haaseduk1/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/broadcast_speaker/haaseduk1/code/main.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : main.py
@Description: 播报音箱案例（本案例符合HaaS Python 2.0 API标准，请务必按照“HaaS EDU K1快速开始”（https://haas.iot.aliyun.com/haasapi/#/Python/docs/zh-CN/startup/HaaS_EDU_K1_startup）文章的说明烧录固件
@Date : 2022年02月11日
@Author : ethan.lcz
@version : v2... | 27.796992 | 167 | 0.620233 |
2bc19506802792dbfe68fddcf0e33163e5f51cce | 1,022 | py | Python | research/cv/LightCNN/src/lr_generator.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/LightCNN/src/lr_generator.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/LightCNN/src/lr_generator.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... | 37.851852 | 82 | 0.671233 |
2bdb1ec0c3034154ad2da148e24ea19056a8ffda | 148 | py | Python | server/apps/recommendation/apps.py | Mayandev/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 129 | 2019-04-20T08:23:25.000Z | 2022-03-14T10:02:23.000Z | server/apps/recommendation/apps.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 9 | 2019-05-19T15:06:17.000Z | 2021-12-14T06:47:14.000Z | server/apps/recommendation/apps.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 34 | 2019-05-06T06:37:17.000Z | 2021-12-09T02:27:58.000Z | from django.apps import AppConfig
class RecommendationConfig(AppConfig):
name = 'recommendation'
# app名字后台显示中文
verbose_name = "推荐管理"
| 16.444444 | 38 | 0.72973 |
5bba03a6322bf928e1dbf4c602258960e41492ee | 2,056 | py | Python | PSA/ModuleLoader.py | SECURED-FP7/secured-psa-nsm | 20c8f790ebc2d2aa8c33bda1e047f8f29275a0be | [
"Apache-2.0"
] | null | null | null | PSA/ModuleLoader.py | SECURED-FP7/secured-psa-nsm | 20c8f790ebc2d2aa8c33bda1e047f8f29275a0be | [
"Apache-2.0"
] | null | null | null | PSA/ModuleLoader.py | SECURED-FP7/secured-psa-nsm | 20c8f790ebc2d2aa8c33bda1e047f8f29275a0be | [
"Apache-2.0"
] | null | null | null | # -*- Mode:Python;indent-tabs-mode:nil; -*-
#
# ModuleLoader.py
#
# Loads python modules.
#
# Author: jju / VTT Technical Research Centre of Finland Ltd., 2016
#
import os
import json
import logging
# Modules filename
moduleFile = None
def init( filename ):
global moduleFile
moduleFile = filename
def _loadM... | 29.371429 | 69 | 0.571012 |
754b71a80ece816849280a5acd5b4bcf04082713 | 1,366 | py | Python | python/tutlibs/utils.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-11-22T10:32:49.000Z | 2021-11-22T10:32:49.000Z | python/tutlibs/utils.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-12-09T14:39:51.000Z | 2021-12-09T14:39:51.000Z | python/tutlibs/utils.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | null | null | null | import time
import numpy as np
import torch
def single_color(color, num_points:int):
"""
Args:
color: RGB (3) or color code
num_points: number of points
Return:
color poinsts: (num_points, 3)
"""
if type(color) == str:
color = np.array([int(color[1:3],16), int(color... | 26.784314 | 76 | 0.625183 |
f33367408b20eaa6e98db157ed79724dd83ccb32 | 7,140 | py | Python | Windows-Python-RAT-mater/Setup.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | Windows-Python-RAT-mater/Setup.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | Windows-Python-RAT-mater/Setup.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #########################################################
# Windows-Python-RAT Setup #
# [R]emote [A]dministrator [T]ool #
# GitHub: https://github.com/Windows-Python-RAT #
# ##################################################### #
# Coded By Sir.4m1R (Amir Hossein... | 35 | 245 | 0.57381 |
f355fd5f79afcf7fb8f12d84de6e2db45aaa9888 | 1,066 | py | Python | SleekSecurity/layers/plugins/fingerprint/cms/magento.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/fingerprint/cms/magento.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | SleekSecurity/layers/plugins/fingerprint/cms/magento.py | GitInitDev/ZohoUniv | 966704837e65f58b52492b56d08e7958df3d220a | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# @name: Wascan - Web Application Scanner
# @repo: https://github.com/m4ll0k/Wascan
# @author: Momo Outaadi (M4ll0k)
# @license: See the file 'LICENSE.txt'
from re import search,I
def magento(headers,content):
_ = False
if 'set-cookie' in headers.keys():
_ ... | 53.3 | 166 | 0.636961 |
34081112ff37fad32ae043f090c935ffcb417ffb | 2,125 | py | Python | recommend.py | Bharat23/medium-tags | d92292852eb8b5abbc0dca40fb692308ba985c02 | [
"MIT"
] | null | null | null | recommend.py | Bharat23/medium-tags | d92292852eb8b5abbc0dca40fb692308ba985c02 | [
"MIT"
] | null | null | null | recommend.py | Bharat23/medium-tags | d92292852eb8b5abbc0dca40fb692308ba985c02 | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# Return the top recommendations for an article
def get_recommendations(d... | 41.666667 | 94 | 0.745882 |
340f3bb7cae002dea84bd4a30469a974f0f8461a | 329 | py | Python | Online-Judges/DimikOJ/Python/50-left-right.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/50-left-right.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/50-left-right.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | for _ in range(int(input())):
string = input()
new_str= ""
new_str += string[0]
for i in range(1, len(string)):
if string[i] == "L":
on = string[i-1]
elif string[i] == "R":
on = string[i+1]
else:
on = string[i]
new_str += on
print(... | 23.5 | 35 | 0.449848 |
caff5da55fd6e9c21687b102bb648a220c24a1a4 | 932 | py | Python | src/BallTracker/reward.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/BallTracker/reward.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | src/BallTracker/reward.py | Cibah/Pepper_RL | a105aead34c74ac8c49fa058ee1613f578bcde41 | [
"MIT"
] | null | null | null | # reward.py:
# Klasse, um Reward-Daten zu erfassen und weiterzugeben
# wird importiert von der Main-Appliukation und der rewardTracker Class
#
#
import threading # required for lock
class Reward:
def __init__(self):
self._lock = threading.Lock()
self.isNew = False # True, iff new Value is writte... | 27.411765 | 72 | 0.604077 |
1b3ae12d49142ebf99ca574df7d857b13684ea3e | 5,456 | py | Python | autojail/commands/extract.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/commands/extract.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/commands/extract.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | import os
import subprocess
import sys
import tempfile
from pathlib import Path
from shutil import rmtree
from typing import Union
import ruamel.yaml
from fabric.connection import Connection
from ..extract import BoardInfoExtractor, ClockInfoExtractor
from ..model import (
ByteSize,
ExpressionInt,
HexInt,... | 33.268293 | 101 | 0.53629 |
8481dab66f9e2cfb5f4a862bbb515bf2add60cfe | 15,837 | py | Python | rbac/common/protobuf/task_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | rbac/common/protobuf/task_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | rbac/common/protobuf/task_transaction_pb2.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # 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 ... | 40.607692 | 1,242 | 0.744522 |
84855b06edbce47be8be019a1c35ca3de52b1118 | 4,773 | py | Python | tests/onegov/election_day/views/test_views_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/views/test_views_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/election_day/views/test_views_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import pytest
from freezegun import freeze_time
from tests.onegov.election_day.common import login
from tests.onegov.election_day.common import upload_complex_vote
from tests.onegov.election_day.common import upload_vote
from webtest import TestApp as Client
def test_view_vote_redirect(election_day_app):
client =... | 31.196078 | 79 | 0.655982 |
04d162a965363ad1f9b1f69b2924edb8d9d1c0f1 | 283 | py | Python | pages/themes/beginners/OOP/examples/simple_Person_class.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/OOP/examples/simple_Person_class.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | pages/themes/beginners/OOP/examples/simple_Person_class.py | ProgressBG-Python-Course/ProgressBG-Python | 6429833696c2c50d9f902f62cc3a65ca62659c69 | [
"MIT"
] | null | null | null | class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def greet(self):
print("Hi there! I'm {}, {} years old!".format(self.name, self.age))
maria = Person("Maria Popova", 25)
pesho = Person("Pesho", 27)
print(maria)
# name = Maria Popova
# age = 25 | 18.866667 | 70 | 0.64311 |
b6f04046105866524e6719bf5bc6e1a8bd60e864 | 1,703 | py | Python | nz_django/day6/form_demo2/front/views.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_django/day6/form_demo2/front/views.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_django/day6/form_demo2/front/views.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from django.shortcuts import render
from django.http import HttpResponse
from django.views import View
from .forms import Myform,RegisterForm
from .models import User
class IndexView(View):
def get(self,request):
form = Myform()
return render(request,'index.html',context={'form':form})
def post... | 43.666667 | 232 | 0.613623 |
f3eb9e0918ed5ee8a6b0396f20b35e80d396d9e4 | 54 | py | Python | DataProcess/utils/test.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/utils/test.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/utils/test.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | import numpy as np
a = [1, 2, 3, 4, 5]
print(a[-3:])
| 10.8 | 19 | 0.518519 |
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