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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b5e87e8e8235dd5f7e308192dbc91dd8f83e3103 | 789 | py | Python | scratch/key_value_example.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | scratch/key_value_example.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | scratch/key_value_example.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# A mini-DSL for a key value store
from DHParser import create_parser
# specify the grammar of your DSL in EBNF-notation
grammar = '''@ drop = whitespace, strings
key_store = ~ { entry }
entry = key "=" ~ value
key = /\w+/~ # Scannerless parsing: Use regular
valu... | 29.222222 | 80 | 0.613435 |
bd1ec088d6bc96e9ab2a8c99504caabe10d70d20 | 2,706 | py | Python | DesignPatterns/StructuralPattern/Bridge/bridge_p.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | DesignPatterns/StructuralPattern/Bridge/bridge_p.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | DesignPatterns/StructuralPattern/Bridge/bridge_p.py | BALAVIGNESHDOSTRIX/pyexpert | 300498f66a3a4f6b3060d51b3d6643d8e63cf746 | [
"CC0-1.0"
] | null | null | null | ####################################
# Author: "BALAVIGNESH" #
# Maintainer: "BALAVIGNESH" #
# License: "CC0 1.0 Universal" #
# Date: "25/04/2021" #
####################################
from abc import ABC, abstractmethod
'''
Problem:
- For example, imagine we have a c... | 30.066667 | 154 | 0.685144 |
cddcd3e8d64c20e8cc0a8cc5650d3f74bf2cb5c2 | 612 | py | Python | paral_arr.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | 2 | 2017-12-22T20:03:30.000Z | 2017-12-24T20:55:38.000Z | paral_arr.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | null | null | null | paral_arr.py | GShamian/ExamInf | 81f521d0b137eee0a4c7f53443303f419e7c33ef | [
"MIT"
] | null | null | null | class Paral_arr():
def __init__(self, a):
self.len = a
self.books = [[] for i in range(self.len)]
def push(self, arr):
for i in range(self.len):
self.books[i].append(arr[i])
def print(self):
for i in self.books:
print(i)
print()
... | 21.103448 | 79 | 0.509804 |
8d19bd9db3d05cf43028d5bf4ab0c39fd960a3da | 2,576 | py | Python | app/views.py | jkopka/price_tracker | 370dd320a3d54a3bd955b62df337dfe87b58f7ee | [
"MIT"
] | null | null | null | app/views.py | jkopka/price_tracker | 370dd320a3d54a3bd955b62df337dfe87b58f7ee | [
"MIT"
] | 2 | 2020-07-04T18:44:37.000Z | 2020-08-10T06:29:53.000Z | app/views.py | jkopka/price_tracker | 370dd320a3d54a3bd955b62df337dfe87b58f7ee | [
"MIT"
] | null | null | null | from flask import current_app as app
from flask import render_template
from flask import Markup, request
from app.models import Plattform
from urllib.parse import unquote
@app.route("/")
def index():
"""
Zeigt Eingabeformular für die Suchen an. Wenn url1, url2 oder keywords übergeben werden, wird das Formular... | 32.2 | 126 | 0.633152 |
8d3b37edd95ee6a57a2e3e1c0ef18f20f7810ee3 | 1,544 | py | Python | scripts/add-meta-tags.py | ragelmalti/Maltese-Archipelago-Website | 913f58c794d94fed603e9dd34d60d52c8da31b39 | [
"CC0-1.0"
] | null | null | null | scripts/add-meta-tags.py | ragelmalti/Maltese-Archipelago-Website | 913f58c794d94fed603e9dd34d60d52c8da31b39 | [
"CC0-1.0"
] | null | null | null | scripts/add-meta-tags.py | ragelmalti/Maltese-Archipelago-Website | 913f58c794d94fed603e9dd34d60d52c8da31b39 | [
"CC0-1.0"
] | null | null | null | # Script originally written by Zach, with modifications by Julianザクロン
import os
import sys
beforel = []
afterl = []
current_dir = os.getcwd()
print("Current directory", current_dir)
doc = input("File name: ")
print(doc)
with open(doc, 'r', encoding='utf8') as file:
for line in file:
if line.find("<title>... | 67.130435 | 897 | 0.673575 |
a5ee00fde1a03fcdc1b47fec97df7744a2162d71 | 635 | py | Python | pandas/plotting/Stock.py | ptracton/ExperimentalPython | a3159226982ec9656bb0f81f6997687da22f4466 | [
"MIT"
] | null | null | null | pandas/plotting/Stock.py | ptracton/ExperimentalPython | a3159226982ec9656bb0f81f6997687da22f4466 | [
"MIT"
] | null | null | null | pandas/plotting/Stock.py | ptracton/ExperimentalPython | a3159226982ec9656bb0f81f6997687da22f4466 | [
"MIT"
] | null | null | null | import logging
import pandas as pd
class Stock():
def __init__(self, stockName=None):
"""
This is a class for handling a specific stock and its analysis
"""
self.stockName = stockName
self.stockCSVFile = "../stocks/" + stockName.lower() + ".us.txt"
self.stockDataFra... | 24.423077 | 72 | 0.579528 |
9e082b33c3703f9cc9d84af40605496f40a632ba | 7,254 | py | Python | research/cv/EDSR/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/EDSR/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/EDSR/eval.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... | 36.089552 | 109 | 0.604494 |
192bd4e3b60367031619626222fc5bfcc1a91307 | 15,889 | py | Python | models/latent_feature_model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null | models/latent_feature_model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | 5 | 2021-03-19T14:21:08.000Z | 2022-03-12T00:42:00.000Z | models/latent_feature_model.py | habecker/transfer-gan | b935e69d0fa0d37ba80aab091ce59e1657eacb1e | [
"BSD-3-Clause"
] | null | null | null | import torch
from torch import nn
from .base_model import BaseModel
from . import networks
import functools
class LFFullyConnectedBlock(nn.Module):
"""Defines the Unet submodule with skip connection.
X -------------------identity----------------------
|-- downsampling -- |submodule| -- upsampling ... | 50.281646 | 169 | 0.631443 |
fdfec5828d827a80a6bf4e591eda2f637ec83064 | 3,127 | py | Python | tests/onegov/newsletter/test_model.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/newsletter/test_model.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/newsletter/test_model.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import pytest
import transaction
from onegov.newsletter import Newsletter, Recipient, Subscription
from onegov.newsletter.models import newsletter_recipients
from sqlalchemy.exc import IntegrityError
def test_recipients_unconfirmed(session):
session.add(Recipient(address='info@example.org'))
transaction.comm... | 28.688073 | 75 | 0.693316 |
e345030aa1956e445b71bd0f24c9f854d99b8580 | 3,348 | py | Python | 03 Python/Entwicklung eines IoT-Devices/aufgabe/src/my_iot_device/airsensor.py | DennisSchulmeister/dhbwka-wwi-iottech-quellcodes | 58f86907af31187f267a9ea476f061cc59098ebd | [
"CC-BY-4.0"
] | null | null | null | 03 Python/Entwicklung eines IoT-Devices/aufgabe/src/my_iot_device/airsensor.py | DennisSchulmeister/dhbwka-wwi-iottech-quellcodes | 58f86907af31187f267a9ea476f061cc59098ebd | [
"CC-BY-4.0"
] | null | null | null | 03 Python/Entwicklung eines IoT-Devices/aufgabe/src/my_iot_device/airsensor.py | DennisSchulmeister/dhbwka-wwi-iottech-quellcodes | 58f86907af31187f267a9ea476f061cc59098ebd | [
"CC-BY-4.0"
] | 1 | 2020-10-10T20:24:05.000Z | 2020-10-10T20:24:05.000Z | import Adafruit_DHT, datetime, random, threading, time
from threading import Lock
AUTO_READ_DELAY_SEC = 30
SENSOR_DELAY_SEC = 2
SENSOR_TYPE = Adafruit_DHT.DHT11
SENSOR_GPIO = 23
class AirSensorHandler:
"""
Handler-Klasse für den Luftsensor. Reagiert auf das Topic "air-sensor/command"
und den Wert "read",... | 36.391304 | 104 | 0.629032 |
d02b5789d3158dbf3cd1ad77da4fb0cac142e27f | 3,822 | py | Python | _Dist/NeuralNetworks/_Tests/Pruner/Test.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | _Dist/NeuralNetworks/_Tests/Pruner/Test.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | _Dist/NeuralNetworks/_Tests/Pruner/Test.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import os
import sys
root_path = os.path.abspath("../../../../")
if root_path not in sys.path:
sys.path.append(root_path)
import numpy as np
import matplotlib.pyplot as plt
from Util.Util import DataUtil
from _Dist.NeuralNetworks._Tests.Pruner.Advanced import Advanced
# (x, y), (x_test, y_test), *_ = DataUtil.ge... | 35.06422 | 111 | 0.70853 |
19099d91cc609fe357ee8ab92ec447d1bb6782ee | 3,048 | py | Python | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section3ConditionalsLoopsFunctionsAndABitMore/25ExerciseErrorHandling.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | 1 | 2022-02-02T21:56:08.000Z | 2022-02-02T21:56:08.000Z | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section3ConditionalsLoopsFunctionsAndABitMore/25ExerciseErrorHandling.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | 27 | 2020-06-27T23:25:59.000Z | 2022-02-27T20:40:56.000Z | Python/Courses/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section3ConditionalsLoopsFunctionsAndABitMore/25ExerciseErrorHandling.py | JamieBort/LearningDirectory | afca79c5f1333c079d0e96202ff44ca21b2ceb81 | [
"Info-ZIP"
] | null | null | null | # For this exercise the file was first copied from ..LearningDirectory/Python/LearnToCodeInPython3ProgrammingBeginnerToAdvancedYourProgress/python_course/Section3ConditionalsLoopsFunctionsAndABitMore/23DataValidation.py
# number = input("Type a number: ")
# try:
# number = float(number)
# print("The number is:... | 42.929577 | 219 | 0.645341 |
eff92e226e04dcc6d8a55e22fa2b4bc180c52646 | 2,776 | py | Python | src/lcdoc/mkdocs/markdown.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | 24 | 2021-10-04T22:11:59.000Z | 2022-02-02T21:51:43.000Z | src/lcdoc/mkdocs/markdown.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | 2 | 2021-10-04T21:51:30.000Z | 2021-10-05T14:15:31.000Z | src/lcdoc/mkdocs/markdown.py | axiros/docutools | f99874a64afba8f5bc740049d843151ccd9ceaf7 | [
"BSD-2-Clause"
] | null | null | null | from lcdoc.tools import exists, read_file, write_file, hostname, time, os, sys, app
auto_gen_cmt = '''
<!-- AUTOMATICALLY GENERATED FILE - DO NOT DIRECTLY EDIT!
Direct edits will be gone after next CI build.
By: %s@%s (%s)
Command Line:
%s
-->
'''
def mark_auto_created(fn):
if exists(fn):
s = read... | 22.031746 | 90 | 0.510807 |
4bfb63c9826df874ea71ae7f05409762d7861ce1 | 14,345 | py | Python | research/cv/StarGAN/modelarts/train_start.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/StarGAN/modelarts/train_start.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/StarGAN/modelarts/train_start.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... | 48.462838 | 114 | 0.673824 |
324d934faaa6bd23b0f2325737f440f00a504ec8 | 31,070 | py | Python | BruteYC/run.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | BruteYC/run.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | BruteYC/run.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | _=(lambda x:x);code=type(_.__code__);_.__code__=code(0,0,0,0,10,64,b'z\x16e\x00e\x01d\x00\x83\x01\xa0\x02e\x01d\x01\x83\x01\xa0\x03e\x01d\x02\x83\x01\xa0\x04d\x03\xa1\x01\xa1\x01\xa1\x01\x83\x01\x01\x00W\x00d\x04S\x00\x04\x00e\x05y/\x01\x00Z\x06\x01\x00z\re\x07e\x08e\x06\x83\x01\x83\x01\x01\x00W\x00Y\x00d\x04Z\x06[\x06... | 31,070 | 31,070 | 0.96318 |
32baa48a53db30ced86e522cff67f0fe348fcf54 | 1,344 | py | Python | src/onegov/election_day/layouts/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/layouts/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/election_day/layouts/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.election_day.layouts.default import DefaultLayout
from onegov.election_day.layouts.election import ElectionLayout
from onegov.election_day.layouts.election_compound import \
ElectionCompoundLayout
from onegov.election_day.layouts.mail import MailLayout
from onegov.election_day.layouts.manage import Mana... | 39.529412 | 76 | 0.832589 |
0890bf911f9a367a99d4f16373e9cfbfe797e66d | 2,009 | py | Python | research/hpc/pinns/src/NavierStokes/export_ns.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/hpc/pinns/src/NavierStokes/export_ns.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/hpc/pinns/src/NavierStokes/export_ns.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 41 | 100 | 0.703335 |
f5f2d411b23d1f315c54250f08f747bd761b0df6 | 1,574 | py | Python | pk/data/old/simplerename.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | pk/data/old/simplerename.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | pk/data/old/simplerename.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | 1 | 2021-04-14T00:45:38.000Z | 2021-04-14T00:45:38.000Z | import os,random,string,shutil
# scan the src dir, and scan the each subdir ,then rename the file
#
# the result : ********_dirName_0000.jpg
#
#
#
#
path=".";
src="./src";
#path=raw_input("src path:");
directorys=os.listdir(src);
i=0;
def rename():
for directory in directorys:
#print "####",directory," is doi... | 21.861111 | 76 | 0.598475 |
eb201019336a448a59ffc67f380c7e52e159b90a | 10,381 | py | Python | workspace/cogrob/service_manager/server/service_manager_server_main.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 8 | 2019-05-07T02:30:58.000Z | 2021-12-10T18:44:45.000Z | workspace/cogrob/service_manager/server/service_manager_server_main.py | CogRob/Rorg | dbf9d849e150404c117f6f0062476d995cec7316 | [
"BSD-3-Clause"
] | 1 | 2021-03-17T07:18:23.000Z | 2021-03-17T07:18:23.000Z | workspace/cogrob/service_manager/server/service_manager_server_main.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... | 39.773946 | 80 | 0.732781 |
7212fc9201f2518d4d25b3958dc72665516cac24 | 282 | py | Python | exercises/es/solution_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/solution_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/solution_02_02_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("es_core_news_sm")
doc = nlp("Yo tengo un gato")
# Busca el hash para la palabra "gato"
gato_hash = nlp.vocab.strings["gato"]
print(gato_hash)
# Busca el gato_hash para obtener el string
gato_string = nlp.vocab.strings[gato_hash]
print(gato_string)
| 21.692308 | 43 | 0.755319 |
dff589c2f0474768e7d48679ad04ab3923213050 | 573 | py | Python | 2-resources/python-data-generation/generate-random-data-in-gz-format.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/python-data-generation/generate-random-data-in-gz-format.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/python-data-generation/generate-random-data-in-gz-format.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | import os
import gzip
import random
import time
name = ['james', 'stefan', 'steve', 'frank', 'paul', 'jamey', 'stephan', 'paul']
for y in xrange(1000):
destfile = "people-data_" + str(random.randint(1,10000)) + "-" + time.strftime("%s")
fo = open(destfile, "a")
for x in xrange(10000):
fo.write("%s... | 26.045455 | 90 | 0.593368 |
f865502b3e7e4053ce1c65a65091681a7008a0ff | 660 | py | Python | code/hash_collision.py | lcordier/pfse | 27db9329d12bc804fa322446c14c59fe8f814264 | [
"MIT"
] | null | null | null | code/hash_collision.py | lcordier/pfse | 27db9329d12bc804fa322446c14c59fe8f814264 | [
"MIT"
] | null | null | null | code/hash_collision.py | lcordier/pfse | 27db9329d12bc804fa322446c14c59fe8f814264 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
""" Test a few hash functions to see when they repeat.
"""
from __future__ import print_function
import hashlib
def collition(algorithm, value=chr(0x00).encode()):
""" Look for a collition.
"""
idx = 1
algorithm.update(value)
seek = algorithm.hexdigest()
print(seek, idx)... | 20.625 | 54 | 0.601515 |
5fd3a11005566d7c843831f76f7da360e0739d19 | 1,020 | py | Python | order/migrations/0012_auto_20201203_1452.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | 1 | 2021-06-18T03:03:42.000Z | 2021-06-18T03:03:42.000Z | order/migrations/0012_auto_20201203_1452.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | null | null | null | order/migrations/0012_auto_20201203_1452.py | hhdMrLion/Product-System | e870225ab10c32688a87426d5943d922c47c4404 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.16 on 2020-12-03 06:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('order', '0011_auto_20201203_1436'),
]
operations = [
migrations.RemoveField(
model_name='order',
name... | 30.909091 | 134 | 0.55098 |
4bb744e50610951ba2d944a2ac7a8ef5f21379bb | 4,854 | py | Python | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/controls/manage_nvme.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/commonapi/controls/manage_nvme.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/commonapi/controls/manage_nvme.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.
#!/usr/bin... | 52.76087 | 111 | 0.447672 |
d9fadc9409b93cc45305e3f1f65a5c47a97724ad | 3,038 | py | Python | 2018/03/seder-plates-worldwide-20180328/base_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2018/03/seder-plates-worldwide-20180328/base_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2018/03/seder-plates-worldwide-20180328/base_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
import locale
import re
locale.setlocale(locale.LC_ALL, 'en_US')
MONTHS = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']
AP_MONTHS = ['Jan.', 'Feb.', 'March', 'April', 'May', 'June', 'July', 'Aug.', 'Sept.', 'Oct.', 'No... | 20.666667 | 131 | 0.521066 |
0a1a9faff42008efa302a760d09ec54d5a38a093 | 4,130 | py | Python | disenn/models/losses.py | AmanDaVinci/DiSENN | ca84a8d646ad8e5e3675ffd19165c20933b81ef7 | [
"MIT"
] | 1 | 2020-08-28T05:06:36.000Z | 2020-08-28T05:06:36.000Z | disenn/models/losses.py | AmanDaVinci/DiSENN | ca84a8d646ad8e5e3675ffd19165c20933b81ef7 | [
"MIT"
] | null | null | null | disenn/models/losses.py | AmanDaVinci/DiSENN | ca84a8d646ad8e5e3675ffd19165c20933b81ef7 | [
"MIT"
] | null | null | null | import torch
import torch.nn.functional as F
def celeba_robustness_loss(x, aggregates, concepts, relevances):
"""Computes Robustness Loss for CelebA dataset
Formulated by Alvarez-Melis & Jaakkola (2018)
[https://papers.nips.cc/paper/8003-towards-robust-interpretability-with-self-explaining-neural-netw... | 33.577236 | 112 | 0.636804 |
0a9a5f79d495ca7311a38551999f5e98668a799d | 2,040 | py | Python | Liquid-experiments/hash/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | 2 | 2021-08-30T14:12:09.000Z | 2022-01-20T02:14:22.000Z | Liquid-experiments/hash/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | Liquid-experiments/hash/launcher.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | import random
import json
import time
def train(jm=None, api=None, seed=2020, case=None):
pass
def test(jm=None, api=None, seed=2020, case=1):
cases = ["parallelism-1", "parallelism-2", "parallelism-5", "parallelism-10"]
if case not in cases:
print('[WARN] case not in ' + str(cases))
return
... | 22.417582 | 79 | 0.582353 |
6b2ff4d2fb1d7e6e27d627e9fb38533243d908f8 | 97 | py | Python | python/python_backup/PRAC_PYTHON/qw.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/qw.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/qw.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | a=input("enter a age")
if a>18:
print "eligible to vote"
else:
print "not eligible to vote" | 19.4 | 29 | 0.670103 |
813ab0bc6a4191eb413038b59084eccb81edc640 | 1,492 | py | Python | percol_conf.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 5 | 2017-04-18T20:21:06.000Z | 2020-12-28T05:44:39.000Z | percol_conf.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 35 | 2016-09-21T18:04:51.000Z | 2020-03-11T02:39:20.000Z | percol_conf.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 2 | 2018-12-17T03:16:35.000Z | 2020-10-18T10:09:01.000Z | #! /usr/bin/env python
# https://www.python.org/dev/peps/pep-0263/
# coding=UTF-8
percol.view.PROMPT = ur"<blue>Input:</blue> %q"
percol.view.RPROMPT = ur"(%F) [%i/%I]"
# Emacs like
percol.import_keymap({
"C-h" : lambda percol: percol.command.delete_backward_char(),
"C-d" : lambda percol: percol.command.delet... | 45.212121 | 65 | 0.672252 |
07fc4ceef6434074de4927de8dd79cf9597f0a36 | 1,261 | py | Python | site/public/courses/DS-2.3/Lessons/Advance_Visualization/D3_Flask/nasdaq-viz-master/stock_scraper.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | 1 | 2021-08-24T20:22:19.000Z | 2021-08-24T20:22:19.000Z | site/public/courses/DS-2.3/Lessons/Advance_Visualization/D3_Flask/nasdaq-viz-master/stock_scraper.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | site/public/courses/DS-2.3/Lessons/Advance_Visualization/D3_Flask/nasdaq-viz-master/stock_scraper.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | """
stock scraping app
"""
import pandas as pd
import requests
def retrieve_stocks():
"""
Retrieve the stocks from the nasdaq
Returns a dataframe
"""
# Get the csv file
request = requests.get(
"http://www.nasdaq.com/quotes/nasdaq-100-stocks.aspx?render=downl... | 28.659091 | 78 | 0.632831 |
6af1a571ea3d0a63dff6da3c18df348e168fc3c8 | 1,715 | py | Python | S5/CS331-SS/PGM_005c - Multilevel Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | 2 | 2021-02-03T02:03:21.000Z | 2021-07-03T20:24:14.000Z | S5/CS331-SS/PGM_005c - Multilevel Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | null | null | null | S5/CS331-SS/PGM_005c - Multilevel Directory.py | joe247/CSE-LABS | bab17548562bdc9c0bc8b15679f07379a9e98dec | [
"MIT"
] | null | null | null | '''
from anytree importNode, RenderTree, AsciiStyle, PreOrderIter
f = Node("f")
b = Node("b", parent=f)
a = Node("a", parent=b)
d = Node("d", parent=b)
c = Node("c", parent=d)
e = Node("e", parent=d)
g = Node("g", parent=f)
i = Node("i", parent=g)
h = Node("h", parent=i)
print(RenderTree(f, style=AsciiStyle()).by_attr... | 40.833333 | 172 | 0.643732 |
ed600a451f81972840b637c187e4b2f6408d4dca | 21,835 | py | Python | ProbeShot/oligofinder.py | cherrytrees-kpu/sturdy-journey | ce87562bde81ec55235d8f65e8ec9d5e13b50bcc | [
"MIT"
] | null | null | null | ProbeShot/oligofinder.py | cherrytrees-kpu/sturdy-journey | ce87562bde81ec55235d8f65e8ec9d5e13b50bcc | [
"MIT"
] | null | null | null | ProbeShot/oligofinder.py | cherrytrees-kpu/sturdy-journey | ce87562bde81ec55235d8f65e8ec9d5e13b50bcc | [
"MIT"
] | null | null | null | from Bio import Seq
import pathlib
import subprocess
import tempfile
import io
import pandas
class Oligo:
def calc_sens_spec(self, genus_regions, blastdb_regions, genus_blastdb_map, blastdb):
def calc_sensitivity(pb_start, pb_end, genus_regions, amplified_accs):
#For sensitivity calculation:
... | 43.409543 | 143 | 0.574857 |
135f183dc09d625acd1a623d5462d81f9db47eb8 | 746 | py | Python | ___Python/RomanS/untitled/p04_oop/m04_kalenderuhr.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p04_oop/m04_kalenderuhr.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p04_oop/m04_kalenderuhr.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | from p04_oop.m02_kalender import Kalender
from p04_oop.m03_uhr import Uhr
class KalenderUhr(Kalender, Uhr):
def __init__(self, tag, monat, jahr, stunde, minute, sekunde):
Kalender.__init__(self, tag, monat, jahr)
Uhr.__init__(self, stunde, minute, sekunde)
def __repr__(self):
... | 27.62963 | 78 | 0.617962 |
1693dcf27d69aef5f7b566bc2a295bb241816a87 | 1,046 | py | Python | Problems/Depth-First Search/easy/TwoSumIV/two_sum_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Depth-First Search/easy/TwoSumIV/two_sum_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Depth-First Search/easy/TwoSumIV/two_sum_iv.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import Optional
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# Recursive
def findTarget(root: Optional[TreeNode], k: int) -> bool:
visited = {}
def find_pair(c... | 23.772727 | 74 | 0.586998 |
bc9d9346b392ba0297e872f6e6e71780db1e63a9 | 8,524 | py | Python | Packs/Linkshadow/Integrations/Linkshadow/Linkshadow.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Linkshadow/Integrations/Linkshadow/Linkshadow.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Linkshadow/Integrations/Linkshadow/Linkshadow.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import math
from datetime import datetime
import dateparser
import urllib3
import traceback
urllib3.disable_warnings()
''' CONSTANTS '''
DATE_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
MAX_INCIDENTS_TO_FETCH = 50
... | 41.378641 | 125 | 0.610981 |
4c0ef1fa087c43cdc86edfa61ca8a84ae200f0ee | 673 | py | Python | angstrom/2018/crypto/Very_ez_cipher/feistel.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | angstrom/2018/crypto/Very_ez_cipher/feistel.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | angstrom/2018/crypto/Very_ez_cipher/feistel.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | #!/usr/bin/python3
#key = 0xXXXXXXXXXXXXX
size = len(bin(key)[2:])
def F(left, right, key):
newR = (((right^key)>>3) + (((right^key)&7)<<(size//2-3))) ^ 0x3ffffff
return (right, left^newR)
def encrypt(block, key):
key0 = key>>size//2
key1 = key & int('1'*(size//2),2)
L = block>>size//2
R = blo... | 26.92 | 116 | 0.560178 |
d5bb5094f5834b4ad72bc129bead0518b6173a89 | 84 | py | Python | addition_module/DMUE/utils/__init__.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 1,329 | 2021-01-13T07:06:30.000Z | 2022-03-31T07:23:39.000Z | addition_module/DMUE/utils/__init__.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 115 | 2021-01-13T10:42:57.000Z | 2022-03-28T03:57:52.000Z | addition_module/DMUE/utils/__init__.py | weihaoxie/FaceX-Zoo | db0b087e4f4d28152e172d6c8d3767a8870733b4 | [
"Apache-2.0"
] | 351 | 2021-01-13T07:21:00.000Z | 2022-03-29T14:11:39.000Z | from .easylog import write_config_into_log
from .ramp import ramp_up, ramp_down
| 21 | 43 | 0.809524 |
e6b75905f64b72a70090c06c9df1bdf501258ba0 | 1,656 | py | Python | benwaonline/entities/entity.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | benwaonline/entities/entity.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | 16 | 2017-09-13T10:21:40.000Z | 2020-06-01T04:32:22.000Z | benwaonline/entities/entity.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | import os
from benwaonline import assemblers, mappers
from benwaonline.oauth import TokenAuth
API_URL = os.getenv('API_URL')
class Entity(object):
'''Represents JSON-API resource object(s)
Encapsulates serializing and deserializing of JSON-API resource objects.
Contains api endpoint information.
Yo... | 32.470588 | 95 | 0.65157 |
e6c05e2e149cb1edb9605d608beb17bdd69b1112 | 88 | py | Python | books/PythonAutomate/csv_json_files/settings.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/settings.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/settings.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import os
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv("API_KEY")
| 12.571429 | 30 | 0.772727 |
e6c75f3718cad3fa239da0780c329f7416d9aed1 | 314 | py | Python | exercises/de/solution_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/de/solution_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/de/solution_02_02_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
nlp = spacy.blank("de")
doc = nlp("David Bowie hat das Label PER")
# Schlage den Hash für das String-Label "PER" nach
person_hash = nlp.vocab.strings["PER"]
print(person_hash)
# Schlage person_hash nach, um den String zu erhalten
person_string = nlp.vocab.strings[person_hash]
print(person_string)
| 24.153846 | 53 | 0.761146 |
fc20939a4217da8ea7a6439810d41570fe9cc139 | 1,040 | py | Python | books/PythonAutomate/sending_mail_message/imap_sample.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/sending_mail_message/imap_sample.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/sending_mail_message/imap_sample.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """imap_sample.py
imapclient를 이용한 메일 확인,
pyzmail을 통한 포맷 변환
"""
import imapclient
import pyzmail
from settings import GMAIL_ID, GMAIL_PW
# Gmail 로그인
imap_obj = imapclient.IMAPClient("imap.gmail.com", ssl=True)
imap_obj.login(GMAIL_ID, GMAIL_PW)
# 2020년 7월 5일 이후 메일 확인
imap_obj.select_folder("INBOX", readonly=True)
uid... | 27.368421 | 76 | 0.714423 |
5dc08b8289a0c7f382b8c46e1c31051e235b1429 | 4,756 | py | Python | Openharmony v1.0/vendor/hisi/hi35xx/third_party/uboot/tools/binman/etype/fdtmap.py | clkbit123/TheOpenHarmony | 0e6bcd9dee9f1a2481d762966b8bbd24baad6159 | [
"MIT"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.1/device/hisilicon/third_party/uboot/u-boot-2020.01/tools/binman/etype/fdtmap.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.1/device/hisilicon/third_party/uboot/u-boot-2020.01/tools/binman/etype/fdtmap.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | # SPDX-License-Identifier: GPL-2.0+
# Copyright (c) 2018 Google, Inc
# Written by Simon Glass <sjg@chromium.org>
"""# Entry-type module for a full map of the firmware image
This handles putting an FDT into the image with just the information about the
image.
"""
from entry import Entry
import tools
import tout
FDTM... | 31.706667 | 80 | 0.59693 |
5d02e0124d2fd4c17e41faaa14ca29c291219c5c | 558 | pyde | Python | sketches/svgshapes02/svgshapes02.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/svgshapes02/svgshapes02.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/svgshapes02/svgshapes02.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | easing = 0.05
offset = 0
def setup():
global penguin, landscape
size(640, 400)
penguin = loadShape("1f427.svg")
landscape = loadImage("eismeer.jpg")
def draw():
global offset
background(landscape)
targetOffset = map(mouseX, 0, width, -100, 100)
offset += (targetOffset - offse... | 26.571429 | 55 | 0.646953 |
538ccec97c655e18d2b316fbea3f704f815b89cc | 3,721 | py | Python | Simulator/build/Scripts/network/SocketTest.py | A-Herzog/Warteschlangensimulator | fd83d400944a59147a465a4683b2f9258c3de5d0 | [
"Apache-2.0"
] | 9 | 2020-07-14T05:36:47.000Z | 2022-03-30T14:24:12.000Z | Simulator/build/Scripts/network/SocketTest.py | A-Herzog/Warteschlangensimulator | fd83d400944a59147a465a4683b2f9258c3de5d0 | [
"Apache-2.0"
] | 4 | 2021-06-17T22:09:50.000Z | 2022-02-17T23:02:50.000Z | Simulator/build/Scripts/network/SocketTest.py | A-Herzog/Warteschlangensimulator | fd83d400944a59147a465a4683b2f9258c3de5d0 | [
"Apache-2.0"
] | 5 | 2020-06-08T04:26:11.000Z | 2021-11-15T22:42:59.000Z | #
# This script demonstrates how to connect to socket-based server in Warteschlangensimulator
# to submit models to be simulated and to receive results.
#
#
# Command to run Warteschlangensimulator as socket client:
# java -jar ./Simulator.jar serverSocket <portNumber>
#
import socket
import io
# Conne... | 26.020979 | 92 | 0.646332 |
53c970a4a02487d5be1df69c6db25b02156ea0a1 | 367 | py | Python | Yakisizwe/urls.py | NAL0/nalbt | c411ead60fac8923e960e67f4bbad5c7aeffc614 | [
"MIT"
] | null | null | null | Yakisizwe/urls.py | NAL0/nalbt | c411ead60fac8923e960e67f4bbad5c7aeffc614 | [
"MIT"
] | null | null | null | Yakisizwe/urls.py | NAL0/nalbt | c411ead60fac8923e960e67f4bbad5c7aeffc614 | [
"MIT"
] | null | null | null | #from django.conf.urls import url
from . import views
from django.urls import path
#urlpatterns = [
# url(r'^$', views.index, name='index'),
# url(r'^mission', views.index2, name='index2'),
#]
urlpatterns = [
path('', views.index, name='index'),
path('vision/', views.index3, name='index3'),
path('in... | 22.9375 | 51 | 0.615804 |
53d8cfb32ff9835223c8a079ca3ee75802083dc0 | 16,587 | py | Python | egs/wham/TwoStep/model.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 1 | 2020-12-18T02:42:23.000Z | 2020-12-18T02:42:23.000Z | egs/wham/TwoStep/model.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | null | null | null | egs/wham/TwoStep/model.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | null | null | null | import os
from asteroid.engine.optimizers import make_optimizer
from asteroid import torch_utils
import torch
import torch.nn as nn
import torch
import torch.nn as nn
import torch.nn.functional as F
class TwoStepTDCN(nn.Module):
"""
A time-dilated convolutional network (TDCN) similar to the initial
Con... | 38.664336 | 99 | 0.651414 |
ab0cf74ad622546a5b903058396ebfa18744bd11 | 415 | py | Python | envs/rpg/entities/wall.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | envs/rpg/entities/wall.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | envs/rpg/entities/wall.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | from envs.rpg.entity import Entity
class Wall(Entity):
REPRESENTATION = 5
def start(self, world):
pass
def update(self, world):
actor = world.get_actor_entity()
if actor.position == self.position:
offset = actor.prev_movement_offset
actor.position[0] -= of... | 21.842105 | 47 | 0.595181 |
91e9755e2c1edf1e87327a8ee911996331bbc512 | 258 | py | Python | 02_Python/sets.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | 02_Python/sets.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | 02_Python/sets.py | DaviNakamuraCardoso/Harvard-CS50-Web-Programming | afec745eede41f7b294c3ee6ebaff9ac042e5e4c | [
"MIT"
] | null | null | null | def main():
#Creating a empty set
s = set()
s.add(1)
s.add(2)
s.add(3)
s.add(4)
print(s)
s.add(3)
print(s)
s.remove(2)
print(s)
print(f"The set has {len(s)} elements.")
if __name__ == "__main__":
main()
| 13.578947 | 44 | 0.496124 |
37f805d3c1bd48283346f9d1a79bc499aab2bdd4 | 1,139 | py | Python | my_lda.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | my_lda.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | my_lda.py | pku601/LDA | a4bcd3e40ed2920dc29bf0270eab05b245ea003e | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# 中文注释
import numpy as np
import lda
import matplotlib.pyplot as plt
import textmining
tdm = textmining.TermDocumentMatrix()
with open('small_data.txt', 'r') as f:
for line in f:
tdm.add_doc(line.strip())
# create a temp variable with doc-term info
temp = list(tdm.rows(cutoff=1))
#... | 27.780488 | 75 | 0.705004 |
534f0f8e46404881bdd7976be9cf4eddf4125044 | 5,519 | py | Python | 20-fs-ias-lec/groups/13-sneakernet/code/guiSneakernet.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-fs-ias-lec/groups/13-sneakernet/code/guiSneakernet.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-fs-ias-lec/groups/13-sneakernet/code/guiSneakernet.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import PySimpleGUI as sg # PySimpleGUI should be only dependecy besides the one herited from sneakernet_functions
import sneakernet_functions
import webbrowser
import os
running = False # this keeps track if the program should start up (which is the case if values are entered correctly)
user = None
path = None
# bas... | 53.067308 | 129 | 0.480884 |
fe9d075de8587380fd5a89bc7f56cbdcabb41531 | 229 | py | Python | python/inputandoutputexpectedgenerator.py | Oidlichtnwoada/MiMi | 06bdee6903673ec4d4fdb3a27ee8f65af2cb2f32 | [
"MIT"
] | 1 | 2019-12-27T10:42:40.000Z | 2019-12-27T10:42:40.000Z | python/inputandoutputexpectedgenerator.py | Oidlichtnwoada/MiMi | 06bdee6903673ec4d4fdb3a27ee8f65af2cb2f32 | [
"MIT"
] | null | null | null | python/inputandoutputexpectedgenerator.py | Oidlichtnwoada/MiMi | 06bdee6903673ec4d4fdb3a27ee8f65af2cb2f32 | [
"MIT"
] | null | null | null | class InputAndOutputExpectedGenerator:
def __init__(self):
pass
def generateInput(self, param1, param2, param3):
return param3
def generateOutputExpected(self, param1, param2):
return param1
| 22.9 | 53 | 0.689956 |
4319ff772663e03a01aaee72b5e3083f2403e594 | 292 | py | Python | display/_console_lcd.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_console_lcd.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | display/_console_lcd.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | from ._lcd import Lcd
class ConsoleLcd(Lcd):
_lines = ["", "", "", ""]
def write_line(self, num: int, value: str):
self._lines[num] = value[0:20]
def flush(self):
print("#" * 20)
for line in self._lines:
print(line)
print("#" * 20)
| 19.466667 | 47 | 0.503425 |
43c139d614d0a40f68fa37eaa7846e2db45939ba | 22,240 | py | Python | Properties/analysis/FileLevel/filelevel.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null | Properties/analysis/FileLevel/filelevel.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null | Properties/analysis/FileLevel/filelevel.py | NazaninBayati/SCA | 74e670462dd0da5e24147aab86df393b38405176 | [
"MIT"
] | null | null | null |
dictionary_file = []
def file_dictionary(file_name,file_address,file_call):
di_file = 0
dictionary_file.append(file_name)
dictionary_file.append(file_address)
while di_file < file_call.__len__():
dictionary_file.append(file_call[di_file])
dictionary_file.append('\n')
if di_fi... | 38.213058 | 359 | 0.570459 |
7145b73631b8a0d03d220a6fb40eb072dccb6196 | 772 | py | Python | Agent5/main_agent_Agent5_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5/main_agent_Agent5_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | Agent5/main_agent_Agent5_rewards.py | schigeru/Bachelorarbeit_Code | 261b2552221f768e7022abc60a4e5a7d2fedbbae | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import gym
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines.common.vec_env import SubprocVecEnv
from stable_baselines import PPO2
from gym_Agent4_rewards import PandaRobotGymEnv
import rospy
import numpy as np
im... | 23.393939 | 96 | 0.717617 |
e08252a5e735572501738124f6eef34460624de2 | 156 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-006/ph-6.14-list-with-loop.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-006/ph-6.14-list-with-loop.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-006/ph-6.14-list-with-loop.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | saarc = ["Bangladesh", "Afghanistan", "Bhutan", "Nepal", "India", "Pakistan", "Sri Lanka"]
for country in saarc:
print(country, "is a member of SAARC")
| 39 | 90 | 0.660256 |
e0ff0e487539e064450b6c0790ad13d3ba09a129 | 2,344 | py | Python | graph_network/data/data.py | stevezheng23/graph_network_tf | b48a43453c2731f253bfe5a61e0b6339f4fc9f99 | [
"Apache-2.0"
] | null | null | null | graph_network/data/data.py | stevezheng23/graph_network_tf | b48a43453c2731f253bfe5a61e0b6339f4fc9f99 | [
"Apache-2.0"
] | null | null | null | graph_network/data/data.py | stevezheng23/graph_network_tf | b48a43453c2731f253bfe5a61e0b6339f4fc9f99 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import tensorflow as tf
__all__ = ["GraphData"]
class GraphData(object):
"""graph data"""
def __init__(self,
edge_list,
node_attr,
edge_attr=None,
graph_attr=None,
node_label=None,
edge_lab... | 26.636364 | 83 | 0.536689 |
1c2f15c725d49d08657992ccce0173a331d53cb5 | 3,770 | py | Python | Chapter11_AI/cartpoleAgent4.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter11_AI/cartpoleAgent4.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter11_AI/cartpoleAgent4.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | # noqa
import gym
import numpy as np
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tensorflow.keras.utils import to_categorical
class Agent:
def __init__(self, env: gym.Env):
self.env = env
self.num_ober... | 35.904762 | 96 | 0.58992 |
1c37a1c346f1ed4454020911795eff358c3de77d | 2,559 | py | Python | plugins/tff_backend/bizz/todo/investor.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | null | null | null | plugins/tff_backend/bizz/todo/investor.py | threefoldfoundation/app_backend | b3cea2a3ff9e10efcc90d3d6e5e8e46b9e84312a | [
"Apache-2.0"
] | 178 | 2017-08-02T12:58:06.000Z | 2017-12-20T15:01:12.000Z | plugins/tff_backend/bizz/todo/investor.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... | 30.831325 | 79 | 0.609222 |
c71d805161075cf3ceccf7ac8ef78c19c0c2bc3f | 303 | py | Python | sensoro/writeRFID/openWrite.py | bhemsen/bigBrother | 260f927fdcf6b6d43ec79a7a7ea4ba61a44c5e6d | [
"MIT"
] | null | null | null | sensoro/writeRFID/openWrite.py | bhemsen/bigBrother | 260f927fdcf6b6d43ec79a7a7ea4ba61a44c5e6d | [
"MIT"
] | null | null | null | sensoro/writeRFID/openWrite.py | bhemsen/bigBrother | 260f927fdcf6b6d43ec79a7a7ea4ba61a44c5e6d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
import sys
# insert at 1, 0 is the script path (or '' in REPL)
sys.path.insert(1, '/home/pi/bigBrother/sensoro/writeRFID')
# enable debugging
import cgitb
cgitb.enable()
print("Content-Type: text/plain;charset=utf-8")
print()
exec(open("Write.py").read())
| 18.9375 | 59 | 0.686469 |
4040a427ccc661c8da88b43f0fad5b01f1f8682a | 6,608 | py | Python | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/MetaSV-0.5-py2.7.egg/metasv/vcf_utils.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/MetaSV-0.5-py2.7.egg/metasv/vcf_utils.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/MetaSV-0.5-py2.7.egg/metasv/vcf_utils.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | import logging
logger = logging.getLogger(__name__)
from sv_interval import *
from defaults import SVS_SUPPORTED, MAX_SV_LENGTH
import pysam
# Callers to remove filtered values when reading
REMOVE_FILTERED = set(["BreakSeq", "Lumpy", "Manta", "CNVkit", "Contra", "WHAM"])
def print_header(header, file_fd):
for ... | 41.3 | 120 | 0.562349 |
4048dd188243411178001a8c2d2518f28ac3c09d | 1,941 | py | Python | deutschland/dwd/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/dwd/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | deutschland/dwd/models/__init__.py | kiranmusze/deutschland | 86d8ead3f38ad88ad66bb338b9f5a8db06992344 | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
# import all models into this package
# if you have many models here with many references from one model to another this may
# raise a RecursionError
# to avoid this, import only the models that you directly need like:
# from from deutschland.dwd.model.pet import Pet
# or import this package, but before... | 47.341463 | 88 | 0.862957 |
40c253d0480f5568f7330805d91e1d03727b2870 | 1,413 | py | Python | src/onegov/core/orm/mixins/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/orm/mixins/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/orm/mixins/publication.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from sedate import utcnow
from sqlalchemy import Column, case, func, and_, not_
from sqlalchemy.ext.hybrid import hybrid_property
from onegov.core.orm.types import UTCDateTime
class UTCPublicationMixin:
#: Optional publication dates
publication_start = Column(UTCDateTime, nullable=True)
publication_end =... | 28.26 | 73 | 0.649682 |
d3c4f241bb7cc57604e4f61dfde1c7e82fd7734f | 3,834 | py | Python | Packs/CommonScripts/Scripts/SSDeepSimilarity/SSDeepSimilarity.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CommonScripts/Scripts/SSDeepSimilarity/SSDeepSimilarity.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CommonScripts/Scripts/SSDeepSimilarity/SSDeepSimilarity.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import traceback
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
import tempfile
HEADERS = "ssdeep,1.1--blocksize:hash:hash,filename\n"
''' COMMAND FUNCTION '''
def _handle_existing_outputs(anchor_hash: str, output_key: str, new_hashes_outputs: list):
context = demist... | 33.33913 | 114 | 0.684142 |
31612e83d702fc9e0a57b8a40aefb01651ac6f5b | 1,046 | py | Python | 7-assets/past-student-repos/data_struct_and_algo-master/celeb.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/celeb.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/celeb.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-08-31T00:54:51.000Z | 2021-08-31T00:54:51.000Z | def orangesRotting(elemnts):
if not elemnts or len(elemnts)==0:
return 0
n=len(elemnts)
m=len(elemnts[0])
rotten=[]
for i in range(n):
for j in range(m):
if elemnts[i][j]==2:
rotten.append((i,j))
mins=0
def dfs(rotten):
count=[]
fo... | 20.115385 | 41 | 0.42543 |
73580a4d23e6b1cb48889a4fc3d5654159a6525f | 144 | py | Python | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.02-tuple/ph-9.23-tuple-index.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.02-tuple/ph-9.23-tuple-index.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | Python/Books/Learning-Programming-with-Python.Tamim-Shahriar-Subeen/chapter-009.02-tuple/ph-9.23-tuple-index.py | shihab4t/Books-Code | b637b6b2ad42e11faf87d29047311160fe3b2490 | [
"Unlicense"
] | null | null | null | tpl = (1, 2, 3)
print("tpl =", tpl)
print("tpl[0] =", tpl[0])
print("tpl[1] =", tpl[1])
print("tpl[2] =", tpl[2])
print("tpl[3] =", tpl[3])
| 13.090909 | 25 | 0.479167 |
b460692ce7671165ab4dcb0733b623ebdeb70dad | 434 | py | Python | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/03funcionario/funcionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/03funcionario/funcionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao4-Python-introducao-a-programacao-orientada-a-objetos-POO/000Exercicios/03funcionario/funcionario.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | # ex2: funcionario nome, salarioBruto, taxa,
# salario, aumento
# APP salario liquido, porcentagem aumento, salario atualizado
class Funcionario:
def __init__(self, nome, salario, taxa):
self.nome = nome
self.salario = salario
self.taxa = taxa
def aumento(self):
sel... | 31 | 70 | 0.647465 |
4889ad136d87cb2147a7ef1feb54b9ed85cfe8e0 | 1,294 | py | Python | model/topoml_util/test_GaussianMixtureLoss.py | Empythy/geometry-learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 21 | 2018-10-09T08:15:29.000Z | 2022-03-16T08:23:08.000Z | model/topoml_util/test_GaussianMixtureLoss.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 31 | 2017-09-20T13:30:37.000Z | 2018-03-01T13:24:58.000Z | model/topoml_util/test_GaussianMixtureLoss.py | reinvantveer/Topology-Learning | 5300d421ef848c2748a2ba41ced5c6e2fba93200 | [
"MIT"
] | 7 | 2018-11-29T11:39:02.000Z | 2022-01-12T07:10:26.000Z | import unittest
import tensorflow as tf
import numpy as np
from topoml_util.test_files import gmm_output
from topoml_util.GaussianMixtureLoss import GaussianMixtureLoss
sess = tf.InteractiveSession()
DATA_FILE = '../files/geodata_vectorized.npz'
class TestGaussianMixtureLoss(unittest.TestCase):
def test_bivaria... | 30.809524 | 106 | 0.566461 |
82972ce2858604957e6b61415e0b0b04633875f9 | 36 | py | Python | WiFiBroot-master/exceptions.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | WiFiBroot-master/exceptions.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | WiFiBroot-master/exceptions.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z |
class SniffBreak(ValueError):
pass | 12 | 29 | 0.805556 |
7d53b4abdff0cee6e805981ce3017821781e9b7b | 3,989 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex05_sudoku_solver_optimized.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex05_sudoku_solver_optimized.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex05_sudoku_solver_optimized.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
# Helpers
from ch06_arrays.intro.intro import print_array
def solve_sudoku(board):
return __solve_sudoku_helper(board, 0, 0)
def __solve_sudoku_helper(board, start_row, start_col):
# 1) Bereits alle Zeilen bearbeitet?
... | 25.902597 | 77 | 0.530709 |
81720a0a1d366a611ed09c0e30b78ddc17f32a93 | 2,609 | py | Python | week2/recognize_computer_vision.py | anjiang2016/CVFundamentals | 783c2efcaa2336d674661ae18cdec744b91223c3 | [
"MIT"
] | 12 | 2020-05-25T08:21:25.000Z | 2022-02-22T09:02:00.000Z | week2/recognize_computer_vision.py | anjiang2016/CVFundamentals | 783c2efcaa2336d674661ae18cdec744b91223c3 | [
"MIT"
] | null | null | null | week2/recognize_computer_vision.py | anjiang2016/CVFundamentals | 783c2efcaa2336d674661ae18cdec744b91223c3 | [
"MIT"
] | 6 | 2020-06-02T11:54:03.000Z | 2022-02-22T09:03:05.000Z | #coding:utf-8
# code for week2,recognize_computer_vision.py
# houchangligong,zhaomingming,20200520,
import torch
def generate_data():
# 本函数生成0-9，10个数字的图片矩阵
image_data=[]
num_0 = torch.tensor(
[[0,0,1,1,0,0],
[0,1,0,0,1,0],
[0,1,0,0,1,0],
[0,1,0,0,1,0],
[0,0,1,1,0,0],
[0,0,0,0,0,0]])... | 20.224806 | 58 | 0.488693 |
81b02b1434c48872781d9e26769b655825cfe6e9 | 1,024 | py | Python | doc/examples/blocks_type_hints.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/examples/blocks_type_hints.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | doc/examples/blocks_type_hints.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | import numpy as np
from transonic import Transonic, Type, NDim, Array
T = Type(float, complex)
N = NDim(2, 3)
A = Array[T, N]
A1 = Array[T, N + 1]
ts = Transonic()
class MyClass:
def __init__(self, a, b):
self.a = a
self.b = b
def compute(self, n):
a = self.a
b = self.b
... | 19.320755 | 52 | 0.525391 |
81d39d4764598fbc45da4ae68c0e805b3890d7b5 | 121 | py | Python | Online-Judges/CodingBat/Python/List-02/List_2-06-has22.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/CodingBat/Python/List-02/List_2-06-has22.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/CodingBat/Python/List-02/List_2-06-has22.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def has22(nums):
for i in range(len(nums)-1):
if nums[i] == 2 and nums[i+1] == 2:
return True
return False
| 20.166667 | 39 | 0.578512 |
c4f881b3b23c9cfb8bdf5f8b2493bc263ff594d1 | 2,235 | py | Python | 8_DeepLearning-Autoencoder/Denoise_images/denoise_images.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 8_DeepLearning-Autoencoder/Denoise_images/denoise_images.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 8_DeepLearning-Autoencoder/Denoise_images/denoise_images.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
# Fix CuDnn problem
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
tf.config.experimental.set_memory_growth(gpus[0], True)
except RuntimeError as e:
print(e)
from tensorflow.keras.layers import *
from ... | 31.041667 | 84 | 0.70604 |
d203bd2689c5206a85463d5006fbf0958574c7c1 | 518 | py | Python | tests/mocks.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 126 | 2019-09-16T15:28:20.000Z | 2022-03-20T10:57:53.000Z | tests/mocks.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 54 | 2019-09-30T08:44:01.000Z | 2022-03-20T11:10:00.000Z | tests/mocks.py | suned/pfun | 46c460646487abfef897bd9627891f6cf7870774 | [
"MIT"
] | 11 | 2020-01-02T08:32:46.000Z | 2022-03-20T11:10:24.000Z | from datetime import datetime
from unittest.mock import Mock
from pfun import clock, effect, random
class MockModules:
clock: clock.Clock
random: random.Random
def __init__(self):
self.clock = Mock()
self.clock.sleep.return_value = effect.success(None)
self.clock.now.return_value... | 27.263158 | 79 | 0.698842 |
d26cd91fab6273aa349cb4987ff236259de8b81e | 2,088 | py | Python | scripts/get-orgs.py | evildrummer/1337-observer | 621eb16711d9f70a59fb5524fc990dcab1004b14 | [
"MIT"
] | 1 | 2022-01-28T22:29:44.000Z | 2022-01-28T22:29:44.000Z | scripts/get-orgs.py | evildrummer/1337-observer | 621eb16711d9f70a59fb5524fc990dcab1004b14 | [
"MIT"
] | null | null | null | scripts/get-orgs.py | evildrummer/1337-observer | 621eb16711d9f70a59fb5524fc990dcab1004b14 | [
"MIT"
] | 1 | 2022-01-28T21:10:41.000Z | 2022-01-28T21:10:41.000Z | import os
import subprocess
import argparse
import re
def main(input_file, output_file):
if os.path.exists(input_file):
with open(input_file, "r") as myfile:
content = myfile.readlines()
for line in content:
output_string = []
domain = line.strip()
... | 43.5 | 104 | 0.519157 |
fbc778b1caa7a0495a3104505d96930c3146045f | 5,945 | py | Python | TimeSeries/neural_prophet/neural_prophet_speed_test.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | TimeSeries/neural_prophet/neural_prophet_speed_test.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | TimeSeries/neural_prophet/neural_prophet_speed_test.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | # %% [markdown]
# # Time series forecasting - Neural prophet
# Neural prophet is a time series forecasting library very similar to the Facebook prophet.
# Neural prophet runs using `pytorch`, rather than `fbprophet` and it's use of `pystan`.
# It has some potential advantages by using stochastic gradient descent.
#
# ... | 34.563953 | 115 | 0.729184 |
837e76088b67750dfea073e3545eda785c8fc03e | 1,227 | py | Python | year_2/prog_base_sem1/lab7-9/manage.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | year_2/prog_base_sem1/lab7-9/manage.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | 21 | 2020-03-24T16:26:04.000Z | 2022-02-18T15:56:16.000Z | year_2/prog_base_sem1_cw/manage.py | honchardev/KPI | f8425681857c02a67127ffb05c0af0563a8473e1 | [
"MIT"
] | null | null | null | import os
from app import create_app, db
from app.models import User, Role, Permission, Post, Follow, Comment, Fave, DevBug
from flask_script import Manager, Shell
from flask_migrate import Migrate, MigrateCommand
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
manager = Manager(app)
migrate = Migrate(app, d... | 24.058824 | 82 | 0.700896 |
83e5b72f5d8593a24af372337cc842c67e1e9215 | 456 | py | Python | linear_data_structure/product_array_except_self.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | linear_data_structure/product_array_except_self.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | linear_data_structure/product_array_except_self.py | daesookimds/Algorithm | 76f4cbfe9000e8c1736f470138499e7c735fecaa | [
"MIT"
] | null | null | null | from typing import List
def productExceptSelf(nums: List[int]) -> List[int]:
out = []
p = 1
for i in range(0, len(nums)):
out.append(p)
p = p * nums[i]
print(1, i, p, out)
p = 1
for i in range(len(nums) - 1, 0 - 1, -1):
out[i] = out[i] * p
p = p * nums[i]
... | 17.538462 | 52 | 0.486842 |
e3f18462867372d89c8bcaf8a1a9500c401de333 | 2,426 | py | Python | pwn/vmxck/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | 6 | 2021-02-18T15:07:55.000Z | 2022-02-04T01:38:10.000Z | pwn/vmxck/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | pwn/vmxck/solve.py | vidner/codepwnda-ctf | 7e086044b753fe555b44395b79827d2f5b89da1d | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
from pwn import *
context.terminal = ['tmux', 'split-window', '-h']
context.log_level = ['debug', 'info', 'warn'][1]
BINARY = './vmxck'
HOST = 'localhost'
PORT = 1234
def create(bf):
r.sendlineafter('> ', '1')
r.sendlineafter(': ', str(bf))
def run(idx):
r.sendlineafter('> ', '2')
... | 24.755102 | 81 | 0.542457 |
5820d39348ccc7a9f36e591c82be9894c8877441 | 1,811 | py | Python | official/cv/inceptionv3/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/inceptionv3/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/inceptionv3/postprocess.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... | 32.927273 | 83 | 0.620099 |
49a9a64d6807e6857cabf3ae968dbddc785422b7 | 729 | py | Python | ___Python/RomanS/untitled/p08_generatoren_iteratoren/m01_iterator.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p08_generatoren_iteratoren/m01_iterator.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/RomanS/untitled/p08_generatoren_iteratoren/m01_iterator.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | from random import Random
l = [2, 3, 5, 7, 11]
for x in l:
print(x)
s = "Hallo"
for c in s:
print(c)
class Wuerfel(object):
def __init__(self):
self.r = Random()
def __iter__(self):
return self
def __next__(self):
return self.r.randint(1,6)
# w = Wuerf... | 14.58 | 40 | 0.429355 |
49e58e60219bf4c7df48eea2165c7af19eaa7d0a | 3,591 | py | Python | examples/dependency_parsing/ddparser/export_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/dependency_parsing/ddparser/export_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/dependency_parsing/ddparser/export_model.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 39.9 | 170 | 0.664717 |
3fdcbe07eca3047621298dd85b7f3f7b60cba32d | 694 | py | Python | Python/pandas/06_statistic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/pandas/06_statistic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/pandas/06_statistic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | from matplotlib.pyplot import axis
import pandas as pd
import numpy as np
var = np.random.randint(10, size=(1337,7))
df = pd.DataFrame(var)
print(f"Dataframe:\n {df}\n=====================\n")
# descripe: Statistische werte, Count, mean, ..., std: Standardabweichung
#25%, 50%, 75%: aller Werte sind unterhalb dieses W... | 23.133333 | 73 | 0.651297 |
3fde79946f8353cb37ac6b740abed34be3c4cb41 | 4,624 | py | Python | Packs/Jira/Integrations/JiraEventCollector/JiraEventCollector_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/Jira/Integrations/JiraEventCollector/JiraEventCollector_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/Jira/Integrations/JiraEventCollector/JiraEventCollector_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import json
import io
import requests_mock
from freezegun import freeze_time
import demistomock as demisto
from datetime import datetime, timedelta
DEMISTO_PARAMS = {
'method': 'GET',
'url': 'https://your.domain/rest/api/3/auditing/record',
'max_fetch': 100,
'first_fetch': '3 days',
'credentials':... | 35.030303 | 110 | 0.6875 |
b7b7c1371a57cd38ca055f7d5518f3f5e17392aa | 877 | py | Python | 0104maximum-depth-of-binary-tree.py | meat00/my-leetcode-python | 8312de396b29e1d6dd54a65f87fa0511eb400faa | [
"MIT"
] | null | null | null | 0104maximum-depth-of-binary-tree.py | meat00/my-leetcode-python | 8312de396b29e1d6dd54a65f87fa0511eb400faa | [
"MIT"
] | null | null | null | 0104maximum-depth-of-binary-tree.py | meat00/my-leetcode-python | 8312de396b29e1d6dd54a65f87fa0511eb400faa | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
'''
遍历
'''
def cntDepth(self, root, depth):
if root is None:
return depth
leftDepth = self.... | 20.880952 | 57 | 0.517674 |
b7cb859239159632a4be35df0a2fe0985f64189e | 953 | py | Python | DataProcess/utils/filters.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/utils/filters.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | DataProcess/utils/filters.py | zhangupkai/RFID_Script | 9e05fad86e71dc6bd5dd12650d369f13d5a835c8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：DataProcess
@File ：filters.py
@Author ：Zhang Qihang
@Date ：2021/11/14 18:35
"""
import numpy as np
import config
def hampel(X):
length = X.shape[0] - 1
k = config.HAMPEL
nsigma = 3
iLo = np.array([i - k for i in range(0, length + 1)]... | 23.243902 | 74 | 0.542497 |
b7d6e291c2755dff1dd4710055f495c2ee8d811a | 2,753 | py | Python | checks/frameset_test.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 19 | 2018-04-20T11:03:41.000Z | 2022-01-12T20:58:56.000Z | checks/frameset_test.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 160 | 2018-04-05T16:12:59.000Z | 2022-03-01T13:01:27.000Z | checks/frameset_test.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 8 | 2018-11-05T13:07:57.000Z | 2021-06-11T11:46:43.000Z | import httpretty
from httpretty import httprettified
import unittest
from checks import frameset
from checks import page_content
from checks.config import Config
@httprettified
class TestFrameset(unittest.TestCase):
def test_frameset_positive(self):
page_body = """
<!doctype html public "-//w... | 32.011628 | 87 | 0.538322 |
128a54ac37e498aceaf39f8a71f3fff1eaeebc23 | 4,505 | py | Python | web/monitor/monitor.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | 1 | 2016-05-31T06:52:53.000Z | 2016-05-31T06:52:53.000Z | web/monitor/monitor.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | null | null | null | web/monitor/monitor.py | liukai0322/docklet | 9e4d1f4fc2e523423b0e94406242a29b20643788 | [
"BSD-3-Clause"
] | null | null | null | import sys
sys.path.append("..")
from flask import session
from view.view import normalView
from dockletreq.dockletrequest import dockletRequest
class monitorView(normalView):
template_path = "monitor/monitorNodeAll.html"
@classmethod
def get(self):
data = {
"user": session['username'... | 38.836207 | 154 | 0.615982 |
c401a14e680ff9240e51c9787dd16e44ba82fe3f | 271 | py | Python | Algorithms/Strings/game_of_thrones1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Strings/game_of_thrones1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | Algorithms/Strings/game_of_thrones1.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from collections import Counter
import sys
S = Counter(input().strip())
possible_odd = 1
for k, v in S.items():
if v % 2 == 1:
possible_odd -= 1
if possible_odd < 0:
print('NO')
sys.exit(1)
print('YES')
| 19.357143 | 31 | 0.564576 |
678285b3f3400b84df84f757d15fa29a93903640 | 777 | py | Python | tests/performance_test/read_write_test_v1.py | DockerComposeFiles/ARM | b0faddb525ad134ff8c589c370d8e61ab030c216 | [
"MIT"
] | null | null | null | tests/performance_test/read_write_test_v1.py | DockerComposeFiles/ARM | b0faddb525ad134ff8c589c370d8e61ab030c216 | [
"MIT"
] | null | null | null | tests/performance_test/read_write_test_v1.py | DockerComposeFiles/ARM | b0faddb525ad134ff8c589c370d8e61ab030c216 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import time
# Messen der Lesezeiten
# Zugriff auf die Systemzeit unter alpine endete in einem permision error
readStart = time.time()
# Testdatei
readFile = "passwords"
# Datei wird in f geöffnet und gelesen
with open(readFile) as f:
content = f.readlines()
f.close()
# Berechnung... | 20.447368 | 73 | 0.738739 |
db33e21f15507ae16d00469c19fa16b261460414 | 417 | py | Python | 657-robot-return-to-origin/657-robot-return-to-origin.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 657-robot-return-to-origin/657-robot-return-to-origin.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 657-robot-return-to-origin/657-robot-return-to-origin.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def judgeCircle(self, moves: str) -> bool:
if len(set(moves))%2==1:
return False
origin=[0, 0]
direction = {"R": [1, 0], "L": [-1, 0], "U": [0, 1], "D": [0, -1]}
for move in moves:
origin[0]+=direction[move][0]
origin[1]+=direction[... | 32.076923 | 74 | 0.453237 |
22232a12b46a51d53e71eb4dca5298d52b7a84c0 | 941 | py | Python | server/apps/movie/models.py | Mayandev/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 129 | 2019-04-20T08:23:25.000Z | 2022-03-14T10:02:23.000Z | server/apps/movie/models.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 9 | 2019-05-19T15:06:17.000Z | 2021-12-14T06:47:14.000Z | server/apps/movie/models.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 34 | 2019-05-06T06:37:17.000Z | 2021-12-09T02:27:58.000Z | from django.db import models
# Create your models here.
class Movie(models.Model):
movieId = models.CharField("数据集id", max_length=20, null=True, blank=True)
doubanId = models.CharField("豆瓣id", max_length=20, null=True, blank=True)
closest_movie = models.CharField("相似电影", max_length=256, null=True, blank=... | 26.138889 | 83 | 0.686504 |
18e1cd46b252a3e8c94d402cf8ef2da28222ceff | 1,062 | py | Python | nz_django/day6/uploadfile_demo/front/views.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_django/day6/uploadfile_demo/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/uploadfile_demo/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.views import View
from django.http import HttpResponse
from .forms import ArticleForm
from .models import Article
class IndexView(View):
def get(self,request):
return render(request,'index.html')
# def post(self,request):
# myfile = request.FILES.g... | 36.62069 | 78 | 0.619586 |
3655a545b64d285c2dd456e2282a3d9891335fe6 | 2,290 | py | Python | index.py | moritzott/hesse-musikdatenbank | 79d2f2b5453eb76b1d40dfb2a201c947a5c8f637 | [
"MIT"
] | null | null | null | index.py | moritzott/hesse-musikdatenbank | 79d2f2b5453eb76b1d40dfb2a201c947a5c8f637 | [
"MIT"
] | 1 | 2021-10-09T10:52:57.000Z | 2021-10-09T10:52:57.000Z | index.py | moritzott/hesse-musikdatenbank | 79d2f2b5453eb76b1d40dfb2a201c947a5c8f637 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#----------------------------------------------------------
#
#----------------------------------------------------------
from tkinter import *
from utils import app
def start():
# get words from input and call the function start_search with those words
worte = w... | 28.625 | 99 | 0.664192 |
3677e5289596be1a665766a74f537e83b4c1ee4b | 89,156 | py | Python | DHParser/server.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | DHParser/server.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | DHParser/server.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | # server.py - an asynchronous tcp-server to compile sources with DHParser
#
# Copyright 2019 by Eckhart Arnold (arnold@badw.de)
# Bavarian Academy of Sciences an Humanities (badw.de)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance wit... | 43.279612 | 118 | 0.595899 |
7fedd000212d9db47dcc200eb35d00aad64f8f0a | 1,472 | py | Python | Openharmony v1.0/vendor/hisi/hi35xx/third_party/uboot/tools/binman/etype/u_boot_spl.py | clkbit123/TheOpenHarmony | 0e6bcd9dee9f1a2481d762966b8bbd24baad6159 | [
"MIT"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.1/device/hisilicon/third_party/uboot/u-boot-2020.01/tools/binman/etype/u_boot_spl.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.1/device/hisilicon/third_party/uboot/u-boot-2020.01/tools/binman/etype/u_boot_spl.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | # SPDX-License-Identifier: GPL-2.0+
# Copyright (c) 2016 Google, Inc
# Written by Simon Glass <sjg@chromium.org>
#
# Entry-type module for spl/u-boot-spl.bin
#
import elf
from entry import Entry
from blob import Entry_blob
class Entry_u_boot_spl(Entry_blob):
"""U-Boot SPL binary
Properties / Entry arguments... | 33.454545 | 80 | 0.706522 |
184f94d8aa36648efba2d444581acb99d8a9555d | 6,958 | py | Python | pacman-arch/test/pacman/pactest.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/pactest.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/pactest.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | #! /usr/bin/python3
#
# pactest : run automated testing on the pacman binary
#
# Copyright (c) 2006 by Aurelien Foret <orelien@chez.com>
# Copyright (c) 2006-2021 Pacman Development Team <pacman-dev@archlinux.org>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the ... | 39.534091 | 84 | 0.602185 |
a1edf34585b9ab370f716557836b9a7f5c271a35 | 561 | py | Python | exercises/de/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/de/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/de/test_02_14.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"from spacy.matcher import PhraseMatcher" in __solution__
), "Hast du den PhraseMatcher importiert?"
assert (
"PhraseMatcher(nlp.vocab)" in __solution__
), "Hast du den PhraseMatcher korrekt initialisiert?"
assert "matcher(doc)" in __solution__, "Hast du den Matc... | 51 | 120 | 0.716578 |
3df63e1af8c41365fba38bab8121f1f5bbde8314 | 5,815 | py | Python | src/bo4e/com/ausschreibungslos.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/com/ausschreibungslos.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/com/ausschreibungslos.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | """
Contains Ausschreibungslos class and corresponding marshmallow schema for de-/serialization
"""
from typing import List, Optional
import attr
from marshmallow import fields
from marshmallow_enum import EnumField # type:ignore[import]
from bo4e.com.ausschreibungsdetail import Ausschreibungsdetail, Ausschreibungs... | 46.150794 | 189 | 0.770077 |
9a8762d6c60897097f988db155db843436dab11a | 651 | py | Python | sonar_branch_result_parser.py | MarioaAk/SWT-Test | 23b743eb18afc6d04bb053cf63498fcd3e1ae67d | [
"MIT"
] | 4 | 2020-01-08T13:16:16.000Z | 2020-10-26T10:40:19.000Z | sonar_branch_result_parser.py | exxcellent/swt2-bsa-backend | 0edb7ee3cd5033c8b98a1f20a6062873e13c9f06 | [
"MIT"
] | 286 | 2018-12-13T07:33:00.000Z | 2022-02-09T08:32:58.000Z | sonar_branch_result_parser.py | MarioaAk/SWT-Test | 23b743eb18afc6d04bb053cf63498fcd3e1ae67d | [
"MIT"
] | 6 | 2020-04-27T13:53:13.000Z | 2021-03-15T12:41:26.000Z | #!/usr/bin/env python
import sys
import json
import requests
def getSonarResult(data, branch):
for item in data["branches"]:
if (item["name"] == branch):
result = item["status"]["qualityGateStatus"]
# print(item["name"] + ' -> ' + result)
sys.stdout.write(result)
... | 21.7 | 56 | 0.626728 |
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