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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
26677394683 |
from typing import Callable, Dict, List
from redis import StrictRedis
import time
from slackclient import SlackClient
from .data import Bot, Command, Event
class PyBot(SlackClient):
def __init__(self, token: str, bot: Bot, db: StrictRedis) -> None:
super().__init__(token)
if (not self.rtm_connec... | albertywu/pybot | slack_pybot/bot.py | bot.py | py | 3,378 | python | en | code | 1 | github-code | 1 |
28026329976 | import unittest
from unittest.mock import MagicMock
from maliput_sim.core.sim import (Behavior, SimulationConfig, SimulationState, AgentInitialState)
class TestSimulationConfig(unittest.TestCase):
def test_default_config(self):
config = SimulationConfig()
self.assertEqual(config.real_time_factor,... | maliput/maliput_sim | test/core/sim_test.py | sim_test.py | py | 2,750 | python | en | code | 0 | github-code | 1 |
23155170555 | import fnmatch
import os
import argparse
import uuid
# PARAMETERS
parser = argparse.ArgumentParser(description='Rearrange a Unity\'s project folder guids.')
parser.add_argument('-i, --input', metavar='FOLDER', type=str, nargs=1, required=True, dest='input_folder',
help='input folder')
args = parser.parse_args()
i... | fani-kiran/Unity-AssetDuplicator | DuplicateFolder.py | DuplicateFolder.py | py | 2,969 | python | en | code | 0 | github-code | 1 |
14385504161 | # 세수의 합
# 배열을 입력받아 합으로 0을 만들수 있는 3개의 엘리먼트를 출력하라
nums = [-1,0,1,2,-1,-4]
def threeSum(nums):
nums.sort() # [-4,-1,-1,0,1,2]
result = []
for i in range(len(nums)-2):
left , right = i+1 , len(nums)-1
if i>0 and nums[i] == nums[i-1]: # 중복을 방지하기 위함
continue
... | hyo-eun-kim/algorithm-study | ch07/misung/ch7_3_misung.py | ch7_3_misung.py | py | 1,077 | python | ko | code | 0 | github-code | 1 |
36549110878 | """Backend supported: tensorflow.compat.v1, tensorflow, pytorch, paddle"""
import os
os.environ["DDEBACKEND"] = "pytorch"
import numpy as np
import deepxde as dde
# For plotting
import matplotlib.pyplot as plt
x_lower = -5
x_upper = 5
t_lower = 0
t_upper = np.pi / 2
nx = 256
nt = 201
# Creation of the 2D domain (fo... | xusuyong/WTU-AI4S | src/PINN/标准非线性薛定谔方程/deepxde-非线性薛定谔-呼吸子.py | deepxde-非线性薛定谔-呼吸子.py | py | 5,053 | python | en | code | 0 | github-code | 1 |
70828987235 | import tensorflow.python.eager.context
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.datasets import mnist
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import confusion_ma... | CJW-MAPU/TIL | Python/First/mnist_deeplearning.py | mnist_deeplearning.py | py | 2,749 | python | en | code | 3 | github-code | 1 |
990625037 | class Player:
def __init__(self):
self.active_pokemon = ''
self.pokemon_list = []
self.money = 0
self.healing_items = []
self.pokeball_bag = []
def playerturn(self,enemy):
action = ''
print("\nWhat would you like to do?\n")
prin... | ljwenger99/Pokemon-P | Pokemon P/Player.py | Player.py | py | 2,402 | python | en | code | 0 | github-code | 1 |
73527997474 | import sqlite3
'''LETS KNOW THE DATA TYPES WE HAVE IN sqlite3
Null --> means doesnot exist
integers --> means real numbers
REAL --> means numbers with decimal
TEXT --> means just a Text
BLOB --> means kind of images mp3file or music file '''
'''STEPS IN CREATING A DATA IN THE DATABASE'''
# #STEP ONE:
# # creating... | Gentility01/new-python | data2.py | data2.py | py | 5,639 | python | en | code | 0 | github-code | 1 |
27701555522 | import json
from pathlib import Path
import numpy as np
import argparse
from typing import Text, Optional, List, Dict, Any, Set, BinaryIO
class Codebook:
def __init__(self, directoryname: Text):
codebook_filename = Path(directoryname) / "codebook.bin"
print(f"Reading codebook from {codebook_file... | RasaHQ/semantic-map-embedding | scripts/codebook_to_json.py | codebook_to_json.py | py | 4,328 | python | en | code | 0 | github-code | 1 |
40019937175 | import numpy as np
import matplotlib.pyplot as plt
def f(x):
if x < 0 or x > 1:
return 0
else:
return 1 - x
def g(x):
if x < 0 or x > 2:
return 0
else:
return 1 - x/2
def riemann(f, g, bounds = [-3, 4], delta_x = 0.001):
s = 0
for x in np.arange(bounds[0], bou... | wbernoudy/signal_processing | triangles.py | triangles.py | py | 621 | python | en | code | 0 | github-code | 1 |
25632547496 | from functools import reduce
from operator import concat
# ===================================================
# utils
# ===================================================
def select_keys(d: dict, ks: list) -> dict:
return {k: d[k] for k in ks if k in d}
# ===================================================
... | akotek/CDN | ex.py | ex.py | py | 1,271 | python | en | code | 0 | github-code | 1 |
25866765879 | import numpy as np
import random
import math
import copy
import matplotlib.pyplot as plt
import matplotlib.animation as animation
class RED_FOXES:
def __init__(self, maxx, minx, wymiar, fitness, alfa):
self.wymiar = wymiar
self.position = np.empty(wymiar)
self.mi = random.uniform(0, 1)
... | JakubPrzychodzki1G/in-ynierka-red-fox-algorytm | main.py | main.py | py | 8,628 | python | pl | code | 0 | github-code | 1 |
32635564454 | import os
import subprocess
import tkinter as tk
from tkinter import messagebox, filedialog
def scan_drive():
# Define the path to scan
path = "C:\\"
# Run the built-in Windows command to check for file system errors
result = subprocess.run(["chkdsk", path], stdout=subprocess.PIPE)
# ... | gravymix/supershiddydrivescanner | main.py | main.py | py | 1,662 | python | en | code | 1 | github-code | 1 |
30770286097 | import sqlite3
# from flask import jsonify
# from flask import request
conn = sqlite3.connect('cards.db')
c = conn.cursor()
# c.execute("""
# CREATE TABLE DominionGames (
# game_id integer PRIMARY KEY,
# Player1Name text NOT NULL,
# Player1Score text NOT NULL,
# Player2Name text NOT N... | jtstrunk/boardgameFlask | app/database.py | database.py | py | 716 | python | en | code | 0 | github-code | 1 |
29316897925 | import jax
import tensorflow as tf
import numpy as np
from transformers import GPT2TokenizerFast
import itertools
class TFRecordLoader:
def __init__(self, index_fname, batch_size, parse_fn, map_fn=None, restore_state=None):
if restore_state is not None:
self.file_idx = restore_state["file_idx"... | Lisennlp/mesh_easy_jax | tfrecord_loader.py | tfrecord_loader.py | py | 8,299 | python | en | code | 0 | github-code | 1 |
37676968693 | from ..helper import config, get_class_from_dot_string
from ..logging import logger
default_storage = config('DEFAULT_FILE_STORAGE')
class DefautStorageBackend:
default_backend = None
instance = None
def __init__(self):
if not default_storage:
raise Exception('Default storage backend... | goldnetonline/django-rest-api-test | support/storages/default_backend.py | default_backend.py | py | 874 | python | en | code | 0 | github-code | 1 |
30716496756 | import json
import unittest
from copy import deepcopy
from http import HTTPStatus
from typing import Union
from flask import Response
from team_picker.constants import (TEAMS_URL, TEAM_BY_ID_URL,
RESULT_ONE_ROLE, RESULT_LIST_TEAMS,
RESULT_CREATED_C... | ibuttimer/TeamPicker | test/test_teams.py | test_teams.py | py | 20,098 | python | en | code | 0 | github-code | 1 |
75267626593 | from fastapi import APIRouter, Response, HTTPException, status
from models import ProductSchema
from controllers import read_products, read_category, write_product, read_product, purge_product
from datetime import date
router = APIRouter()
@router.get('/', response_model=list[ProductSchema])
async def get_products... | bananichdev/fastApi-money-control | routers/products.py | products.py | py | 1,540 | python | en | code | 1 | github-code | 1 |
71660047394 | #스택/큐
#올바른 괄호
from collections import deque
def solution(s):
answer = 0
que = deque(s)
while que:
k = que.popleft()
if answer == -1:
return False
if k == '(':
answer += 1
else:
answer -= 1
if answer == 0:
return Tru... | yabooung/study | 프로그래머스/파이썬/레벨2/올바른 괄호.py | 올바른 괄호.py | py | 369 | python | en | code | 0 | github-code | 1 |
3261805310 | import logging
import time
from datetime import timedelta
import numpy as np
from tqdm import tqdm
import src.cfg as cfg
import src.data as data
import src.models as models
import src.processing as processing
import src.filters as fltr
"""
parameters = dict(years_train=list(range(2010, 2014)),
year... | idrigo/arctic_ddmodeling | scripts/predict_area.py | predict_area.py | py | 3,063 | python | en | code | 1 | github-code | 1 |
11424085756 | import json
import logging
from django.http import HttpResponse, JsonResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework import status
from rest_framework.response import Response
from .tasks import fetch_fastq
logger = logging.getLogger(__name__)
@csrf_exempt
def test(request):
r... | ufuktepe/DataCollectionService | data_collection/views.py | views.py | py | 1,308 | python | en | code | 0 | github-code | 1 |
26904333768 | from flask import *
import requests, subprocess, json, re
app = Flask(__name__)
@app.route("/")
async def start():
return """
<form action="/get">
<input name="username" id="username">
<label for="username">Username</label>
</form>
"""
@app.route("/get")
async def getRender():
id ... | TheTechRobo/plays.tv-finder | app.py | app.py | py | 1,527 | python | en | code | 0 | github-code | 1 |
24844251148 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 2 23:15:08 2020
@author: mfb
"""
# Tour de Hanoï
# Création d'une pile sans taille définie
def CreaStack():
P = [] # Création de la Pile en mémoire
return(P)
# Empilage par la méthode '.append()', sans contrôle de taille de ... | lucas-science/cours-prog | NSI/PILES_FILES_CORRIGER-20211009/StrDonLinListTourHanoi-CORRIGER.py | StrDonLinListTourHanoi-CORRIGER.py | py | 1,132 | python | fr | code | 0 | github-code | 1 |
15253117933 | r"""Preprocess code.org data into a form that we can handle."""
import os
import pickle
import getpass
import numpy as np
USER = getpass.getuser()
DATA_ROOT = '/mnt/fs5/{}/generative-grading/data/real/education/'.format(USER)
ZIPF_CLASS = {'head': 0, 'body': 1, 'tail': 2}
def load_data(problem_name):
problem_id... | malik-ali/generative-grading | src/rubricsampling/makeRawCodeOrgStudentData.py | makeRawCodeOrgStudentData.py | py | 3,221 | python | en | code | 5 | github-code | 1 |
40454649248 | # -*- coding: utf-8 -*-
import base64
import json
from odoo import fields, models, api
from ..utils.utils import make_signature
class PaymentAcquirer(models.Model):
_inherit = 'payment.acquirer'
provider = fields.Selection(selection_add=[('liqpay', 'Liqpay')])
liqpay_public_key = fields.Char(
... | i-vyshnevska/l10n_ukraine | liqpay_acquirer/models/payment_acquirer.py | payment_acquirer.py | py | 3,744 | python | en | code | 0 | github-code | 1 |
10990578984 | from typing import Dict
from tqdm import tqdm
from towhee.utils.log import engine_log
from towhee.runtime import ops, AcceleratorConf
from towhee.operator import NNOperator
from towhee.serve.triton import constant
from towhee.serve.triton.model_to_triton import ModelToTriton
from towhee.serve.triton.pipe_to_triton imp... | towhee-io/towhee | towhee/serve/triton/pipeline_builder.py | pipeline_builder.py | py | 3,691 | python | en | code | 2,843 | github-code | 1 |
43620730728 | #!/usr/bin/env python3
import RPi.GPIO as GPIO
import time
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BOARD)
ports = (31, 32, 35, 36)
for port in ports:
GPIO.setup(port, GPIO.OUT)
GPIO.output(port, GPIO.LOW)
time.sleep(0.2)
GPIO.cleanup() | Advaith3600/trash-detection-ros | motor/src/clear.py | clear.py | py | 253 | python | en | code | 1 | github-code | 1 |
28435115919 | import csv
import os
import re
import sys
def path_select():
pth = sys.argv[1]
return pth
# argv로 인자 받기, class에선 이 방법을 사용할 수 없다
def search_files(pth):
sep_path = []
path_group = {}
for (root_dirs, _, file_dirs) in os.walk(pth):
for fil in file_dirs:
# file_dirs는 root_dirs... | riflstoe/vains | python/classworks/file_csv_transfer.py | file_csv_transfer.py | py | 3,924 | python | ko | code | 0 | github-code | 1 |
74839939873 | import os
import glob
import re
from datetime import datetime, timedelta, time
import fitz
from openpyxl import Workbook
from dataclasses import dataclass
# ------ CHANGE ME ---------
folder_path = "C:\\Users\\majona\\GitHub\\iko-tools\\Python\\antwerpTimeConverter\\input"
save_path = f'C:\\Users\\majona\\GitHub\\ik... | jonathanmajh/iko-tools | Python/antwerpTimeConverter/main.py | main.py | py | 3,729 | python | en | code | 0 | github-code | 1 |
71079721954 | # two compartments per rucksack
# points for shared items
import string
def priority(letter: str) -> int:
return (
(26 if letter.isupper() else 0)
+ string.ascii_lowercase.index(letter.lower())
+ 1
)
score = 0
with open("input.txt") as f:
lines, i = [l.rstrip("\n") for l in f.... | m-wrzr/aoc-2022 | 3/main_b.py | main_b.py | py | 541 | python | en | code | 1 | github-code | 1 |
23382532043 | import random
import time
class Attack:
@staticmethod
def attack_target(person, target):
hit = random.choice(person.atk_chance)
if hit:
target.hp -= person.dmg
print(f'{person.name} hit the {target.name} and deal {person.dmg}, now {target.name} has {target.hp} hp')
... | CoolLikeGoose/PQ-WIP- | RPG.py | RPG.py | py | 1,210 | python | en | code | 0 | github-code | 1 |
12270965106 |
import numpy as np
import src.main.Downlink as Dl
import src.main.Analyzer as An
import src.main.IO as IO
from pandas import DataFrame
points = 10
min_power = -1
max_power = 2
dn = 0.5
b_line = 0.0
t_line = (-0.36, 0.37)
q_line = 0.0
s_line = (-0.5, 0.0, 0.5)
opt = True
def set_power(total_points=points, powe... | Nedhoven/SymbolDetection | WirelessChannel/src/main/Manager.py | Manager.py | py | 21,704 | python | en | code | 2 | github-code | 1 |
18468754601 | import os, time
import numpy as np
import tensorflow as tf # version 1.14
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense
from tensorflow.keras.datasets import mnist
from tensorflow.keras.callbacks import TensorBoard
(X_train, y_train), (X_test, y... | sum-coderepo/Optimization-Python | NeuralNetwork/CompareOptimizerAutoencoder.py | CompareOptimizerAutoencoder.py | py | 1,096 | python | en | code | 2 | github-code | 1 |
10267385852 | print("Введите размерность улитки: ")
dimension = input()
key = {True: 'x', False: ' '}
olist = list(range(int(dimension) // 2))
for ykey in (1, -1):
for y in olist[::ykey]:
slist = []
for xkey in (1, -1):
for x in olist[::xkey]:
d = -2 if (xkey, ykey) == (-1... | LucidPep/labs | projvscode_python/labDrawSnail.py | labDrawSnail.py | py | 481 | python | en | code | 0 | github-code | 1 |
40003735306 | class Employee:
def __init__(self, first_name: str, department: str, email: str):
self.first_name = first_name
self.department = department
self.email = email
class Task:
def __init__(self, name: str, description: str, duration: int):
self.name = name
self.descript... | fiaeb23/Islamovic | Python-T2/OOP/09_Hausi_Lsg.py | 09_Hausi_Lsg.py | py | 878 | python | en | code | 0 | github-code | 1 |
28850425103 | # -*- coding: utf-8 -*-
from node.test.base_test import BaseTestCase
from node.plugins.uptime import Plugin
from mock import Mock, patch
class UptimeTest(BaseTestCase):
def set_up_mock(self, filemock):
fs_mock = Mock()
filemock.return_value = fs_mock
fs_mock.readline.return_value = '344.12... | gperetin/seamon | node/test/plugins/uptime_test.py | uptime_test.py | py | 1,023 | python | en | code | 1 | github-code | 1 |
11810692657 | import logging
from django.core.exceptions import ObjectDoesNotExist
from django.test import Client, TestCase
from django.urls import reverse
from cms.contexts.tests import ContextUnitTest
from cms.medias.tests import MediaUnitTest
from cms.pages.models import PageMedia
from cms.pages.tests import PageUnitTest
lo... | UniversitaDellaCalabria/uniCMS | src/cms/api/tests/test_page_media.py | test_page_media.py | py | 5,322 | python | en | code | 5 | github-code | 1 |
20811139345 | file = open('file.txt')
f = file.readlines()
#print(f)
wrd_rp_d = {}
wrds_lst = []
for line in f:
#print(line,"$$$$$$$$$$$$$$$$$$$$$$$$$$$$")
if line.endswith('\n'):
l = line.rstrip('\n')
ls = l.split(' ')
else:
ls = line.split(' ')
for wrd in ls:
wrds_lst.appen... | chaitanya-j/python-learning | My_Projects/fun programs/repest_words_cnt.py | repest_words_cnt.py | py | 481 | python | en | code | 1 | github-code | 1 |
24000446479 | from datetime import date
from django.views import generic
from .models import Post, Event
from .forms import PostForm, EventForm
from django.contrib import messages
from django.shortcuts import render, redirect, reverse, get_object_or_404
from django.contrib.auth.decorators import login_required
from django.core.excep... | rocrill/velo_city | blog/views.py | views.py | py | 6,688 | python | en | code | 0 | github-code | 1 |
14386273501 | '''
50. 정렬된 배열의 이진 탐색 트리 변환
오름차순으로 정렬된 배열을 높이 균형 이진 탐색 트리로 변환하라.
Given the sorted array: [-10,-3,0,5,9],
One possible answer is: [0,-3,9,-10,null,5], which represents the following height balanced BST:
0
/ \
-3 9
/ /
-10 5
'''
# Definition for a binary tree node.
# class TreeNode:
# def ... | hyo-eun-kim/algorithm-study | ch14/taeuk/ch14_9_taeuk.py | ch14_9_taeuk.py | py | 877 | python | ko | code | 0 | github-code | 1 |
21615960545 | import os
import json
import datetime
from django.apps import apps
from django.core.management.base import BaseCommand, CommandError
from core.models import User, ActivityPeriod
class Command(BaseCommand):
help = "Insert a .json file containing user details and their activity periods."
def validate_date_fo... | Mangy007/full-throttle-labs-api | core/management/commands/populate_data.py | populate_data.py | py | 2,799 | python | en | code | 0 | github-code | 1 |
31109285277 | import argparse
from itertools import islice
import random
def run_martingale_simulation(initial_bankroll, initial_bet):
bankroll = initial_bankroll
bet = initial_bet
results = []
while bankroll > 0:
result = simulate_spin()
if result == 'win':
bankroll += bet
... | kevindowling/FreelancingExamples | RouletteSim/RouletteSimLocal/roulette.py | roulette.py | py | 7,100 | python | en | code | 0 | github-code | 1 |
17989289001 | from anytree import Node, RenderTree
from apted.helpers import Tree
node_id = 0
def parse_goal_ast(content):
"""
Brings the AST into an 'anytree' shape using recursion.
"""
global node_id
node_id = 0
po_id = str(content.get('id', -1))
ast_anytree_root_node = Node(
po_id, op_name="... | Flunzmas/gym-autokey | gym_autokey/envs/datastructures/po_anytree.py | po_anytree.py | py | 3,295 | python | en | code | 6 | github-code | 1 |
32061921957 | from datetime import datetime
import pytest
from pytest_mock import MockerFixture
from recipes.models import ProductListItem, ProductListWeek, Recipe, RecipePlan, RecipePlanWeek
from telegram_bot.services import utils, telegram_handlers
from recipes.tests.factories import (
ProductListItemFactory,
ProductList... | djangoner/RecipeBase | telegram_bot/tests/test_telegram.py | test_telegram.py | py | 4,762 | python | en | code | 0 | github-code | 1 |
30093159372 | #!/usr/bin/env python3
import math
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
distance = 99
def move(velocity_publisher):
DIST = 0.6
global distance
velocity_message = Twist()
loop_rate = rospy.Rate(10)
while distance > DIST:
linear_speed =... | mhered/ROS-notes | src/mhered/src/robot_student2.py | robot_student2.py | py | 2,261 | python | en | code | 6 | github-code | 1 |
11583024405 | import numpy as np
from annotation import load_state, OBS_DICT
from project_temp2 import initialization, forward, backward
def EM(states_filename, obs_filename):
# states are the true labels
# observations are the training data
# The variable observations is a string.
# The variable observations_index... | xinlingl/Gene-Structure-Prediction | EM.py | EM.py | py | 3,529 | python | en | code | 0 | github-code | 1 |
195482476 | """Main init module contains create_app function"""
import logging
import os
from logging.handlers import SMTPHandler, RotatingFileHandler
import telebot_router
from flask import Flask
from flask_bootstrap import Bootstrap
from flask_login import LoginManager, login_manager
from flask_migrate import Migrate
from flask... | Vadim-AM/Customer-service | app/__init__.py | __init__.py | py | 2,857 | python | en | code | 0 | github-code | 1 |
15161999466 | def insertionSort(alist):
countComparisons=0
countSwaps=0
for index in range(1,len(alist)):
currentvalue = alist[index]
position = index
countComparisons +=1
while position>0 and alist[position-1]>currentvalue:
countComparisons+=1
countSwaps+=1
... | Jacob-TylerThomas/CSC-231-Labs | lab8/insertionSort.py | insertionSort.py | py | 472 | python | en | code | 0 | github-code | 1 |
15155010943 | import time
from behave import *
from Wiz_Game_Feature_File.Utensils.CommonUtil import *
from Wiz_Game_Feature_File.Utensils.object_repo import objectdict
@given('I am on the Demo Login Page')
def launch_browser(context):
open_browser(context)
context.driver.get(objectdict['given_url'])
context.driver.sav... | Mohesh-mkp/Wizard_game | Wiz_Game_Feature_File/Steps/step_definitions.py | step_definitions.py | py | 5,397 | python | en | code | 0 | github-code | 1 |
37564289971 | import os
import warnings
import numpy as np
from scipy.signal import find_peaks
from scipy.interpolate import InterpolatedUnivariateSpline
import pandas as pd
from pyqcams import constants
def gaus(vp , vt, s=0.1):
''' Gaussian function used for Gaussian Binning of final vibrational states.
In... | Rkoost/PyQCAMS | pyqcams/util.py | util.py | py | 4,683 | python | en | code | 2 | github-code | 1 |
31173869561 | class ControlGame:
c=0
def __init__(self,turns):
# This initializes the game with an empty board, the current
# player set to 'Red' and the number of turns
# specified by the user (defaults to 64). turnsToPlay must
# be an even number in the range [2..64].
self.tu... | Exile404/Some-Paid-Works | Paid Project/ControlGame.py | ControlGame.py | py | 3,932 | python | en | code | 0 | github-code | 1 |
41433217351 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import urllib2
import requests
import codecs
import csv
import pprint as pp
import re
from collections import OrderedDict
url_standard = 'http://nocompulsoryvaccination.com'
url_next_page = '/page/'
#web request function
def make_reque... | rjshanahan/Vaccination-Social-Media | generic_forum_webscraper.py | generic_forum_webscraper.py | py | 3,517 | python | en | code | 3 | github-code | 1 |
27218942710 | import datetime
import json
import os
import shutil
import sys
import time
from threading import Thread
import PyQt5
import selenium
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import Qt, QThread
from PyQt5.QtGui import QFont
# from selenium import webdriver
import web
# Login: glog... | Skayloo/SS | Start.py | Start.py | py | 16,869 | python | en | code | 0 | github-code | 1 |
36975879377 | # -*- coding: utf-8 -*-
"""
script launched during summer with Patricia coming
"""
import cv2
import datetime
import mutex
import numpy as np
import os
import time
import threading
#~ from skimage.measure import structural_similarity as ssim # apt-get install python-skimage
#~ import paramiko
# Captures a single imag... | alexandre-mazel/electronoos | capture/capture.py | capture.py | py | 13,916 | python | en | code | 2 | github-code | 1 |
4997054465 | #!/usr/bin/env python3
import os
import random
import signal
import socket
import struct
import sys
import threading
import time
from datetime import datetime
from datetime import timedelta
Z = 2
W = 3
X = 3
T = 1
M = 3
# Packet_type
REG_REQ = 0xa0
REG_ACK = 0xa1
REG_NACK = 0xa2
REG_REJ = 0xa3
REG_INFO = 0xa4
INFO_A... | marioferro2002/XARXES-prac1 | server.py | server.py | py | 35,024 | python | en | code | 0 | github-code | 1 |
44071652739 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module to run a Nextflow pipeline and get output
"""
import os
import subprocess
ABSDIR = os.path.realpath(".")
# location for execution of pipeline
NXF_DIR = os.path.join(ABSDIR, "nxf")
# nextflow script to execute
NXF_SCRIPT = os.path.join(ABSDIR, "main.nf")
# mai... | stevekm/nextflow-ci | nextflow.py | nextflow.py | py | 2,365 | python | en | code | 0 | github-code | 1 |
20174125920 | a = input("Enter the name of the file: ")
def function(b):
"""
This is a function for taking input from the file
"""
f = open(b)
content = f.read()
f.close()
return content
c = function(a)
print(c)
| udaynarwal72/pythontutorial | practice/finding file.py | finding file.py | py | 226 | python | en | code | 0 | github-code | 1 |
3179744349 | from django.urls import path
from PrincipalApp import views
from django.contrib.auth.decorators import login_required
app_name = 'Merlin'
urlpatterns = [
path('', views.Index.as_view(), name='Index'),
path('ListCategoria/',views.ListCategoria.as_view(), name='ListCategoria'),
path('RegistrarCategoria/',views... | bsramosl/Merlin | PrincipalApp/urls.py | urls.py | py | 641 | python | es | code | 0 | github-code | 1 |
15690350442 | from celery.schedules import crontab
import djcelery
djcelery.setup_loader()
BROKER_URL = 'redis://localhost:6379/0'
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
CELERYBEAT_SCHEDULER = "djcelery.schedulers.DatabaseScheduler"
CELERY_DISABLE_RATE_LIMITS = False
CELERYBEAT_SCHEDULE = {
'delete-every-day': ... | lafaiDev/mini-blog | tweets/settings/celery_config.py | celery_config.py | py | 449 | python | en | code | 0 | github-code | 1 |
41782618855 | import numpy as np
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Path to the image")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow("Original", image)
lap = cv2.Laplacia... | heitorrapela/daily-studies | computer-vision/book_practical_python_and_opencv/chapter 10/10.1.py | 10.1.py | py | 417 | python | en | code | 4 | github-code | 1 |
17459832619 | from . import views
from django.urls import path
"""
Url paths extended from from django.urls
BUG: enabling app_name causes a django.urls.exceptions.NoReverseMatch error 500.
"""
app_name = 'blog'
urlpatterns = [
path('blog/', views.PostList.as_view(), name='blog'),
path("blog/<slug:slug>/", views.pos... | sgs22/needapc | blog/urls.py | urls.py | py | 351 | python | en | code | 0 | github-code | 1 |
33023755580 | class Node:
def __init__(self, data, reference=None):
self.data = data
self.reference = reference
node1 = Node(5)
print(node1.data)
node2 = Node(11)
node1.reference = node2
print(node1.reference)
class LinkedList:
def __init__(self, head=None):
self.head = head
def print_link... | JAMES-CERO/Python-linked-list | main.py | main.py | py | 1,342 | python | en | code | 0 | github-code | 1 |
72840974755 | import pandas as pd
# Завантажте XLSX файл
xlsx_file = '.xlsx' # Замініть на шлях до вашого XLSX файлу
# Зчитайте XLSX файл
data = pd.read_excel(xlsx_file)
# Збережіть дані у файл CSV
csv_file = '.csv' # Замініть на ім'я, під яким ви хочете зберегти файл CSV
data.to_csv(csv_file, index=False) | VAlduinV/KPI_tasks | HW_1/py_files/convert.py | convert.py | py | 409 | python | uk | code | 0 | github-code | 1 |
16312450690 | import ckan.plugins as plugins
import ckan.plugins.toolkit as toolkit
from helpers import *
class CdcmainlibPlugin(plugins.SingletonPlugin):
plugins.implements(plugins.IConfigurer)
plugins.implements(plugins.ITemplateHelpers)
# IConfigurer
def update_config(self, config_):
toolkit.add_templa... | jiankaiwang/ckanext-cdcmainlib | ckanext/cdcmainlib/plugin.py | plugin.py | py | 1,632 | python | en | code | 0 | github-code | 1 |
70072127074 | from node import Node
numbers = []
def setup():
with open("input.txt") as f:
global numbers
numbers = f.readlines()[0].strip().split(' ')
def main():
i = 0
while(i < len(numbers)):
rootNode = Node(numbers[i], numbers[i + 1])
i += 2
i = loopChildNodes(rootNode, i)
print('metadata sum', roo... | FredrikLastow/advent-of-code | 2018/day8/main.py | main.py | py | 998 | python | en | code | 0 | github-code | 1 |
33627617622 |
from math import fabs
from platform import platform
from tkinter.tix import Tree
import pygame
import os
import random
import time
class Setting:
window_width = 750
window_height = 900
frames = 60
path_file = os.path.dirname(os.path.abspath(__file__))
image_path = os.path.join(path_file, "Images"... | ElRashoMacuin/JumperGame | jump.py | jump.py | py | 22,760 | python | en | code | 0 | github-code | 1 |
72192651874 | # 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
class Solution:
def sortedArrayToBST(self, nums: list[int]) -> TreeNode:
# Helper function to construct a balanced BST from a... | iemgovind/LeetCode | Tree/108. Convert Sorted Array to Binary Search Tree.py | 108. Convert Sorted Array to Binary Search Tree.py | py | 1,864 | python | en | code | 0 | github-code | 1 |
10989798884 | import torch
from torch import nn
class CenterPivotConv4d(nn.Module):
"""
CenterPivot 4D conv
Args:
in_channels (`int`):
Number of input channels.
out_channels (`int`):
Number of output channels.
kernel_size (`list or tuple`):
Numbers for kernel... | towhee-io/towhee | towhee/models/layers/conv4d.py | conv4d.py | py | 3,550 | python | en | code | 2,843 | github-code | 1 |
71611531233 | #!/usr/bin/env python3
import operator
from functools import reduce
from pathlib import Path
def part1(contents):
visible_trees_counter = 0
grid = [[x for x in row] for row in contents.split("\n")]
n, m = len(grid), len(grid[0])
for i in range(n):
for j in range(m):
if i not in (0,... | delminskii/adventofcode2022 | day8/script.py | script.py | py | 2,664 | python | en | code | 0 | github-code | 1 |
31322951877 | # URL do Enunciado
# https://www.beecrowd.com.br/judge/pt/custom-problems/view/1759
anoatual = int(input())
anoinic = 2006
aument = 1.015
salinc = 1000
saltotal = aument*salinc
if anoatual>=anoinic:
while anoinic<anoatual:
saltotal = saltotal*(aument+0.01)
anoinic = anoinic+1
aument = aume... | lucaperes96/Algoritmos-e-Programacao | LucasPeres/Lista4/1759.py | 1759.py | py | 430 | python | pt | code | 1 | github-code | 1 |
4196190259 | # Ce programme permet de déterminer lequel de deux nombres flottants entrés
# par l’utilisatrice ou l’utilisateur est le plus petit
# akbarimehdi 20210926
_val1=int(input("Veuillez entrer le premier nombre: "));
_val2=int(input("Veuillez entrer le second nombre: "));
if(_val1>_val2):
print("Le plus petit nombre ... | akbarimehdi/Exercise | minimum.py | minimum.py | py | 448 | python | fr | code | 0 | github-code | 1 |
23152733329 | import os
replacement = "to 2 decimal places"
for dname, dirs, files in os.walk("/mnt/e/local git/astudio/maths/equations"):
for fname in files:
fpath = os.path.join(dname, fname)
with open(fpath) as f:
s = f.read()
s = s.replace("to 2 decimal places", replacement)
with o... | astudioapp/maths | equations/re.py | re.py | py | 364 | python | en | code | 0 | github-code | 1 |
16970298264 | #! encoding = utf-8
import unittest
from dictionary import conjug, conjug_all
class TestConjug(unittest.TestCase):
def test_present_indicatif(self):
answer = {
"aimer": ("j'aime", "tu aimes", "il aime", "elle aime",
"nous aimons", "vous aimez", "ils aiment", "elles ai... | luyaozou/conjugaison | test_conjug.py | test_conjug.py | py | 78,752 | python | fr | code | 1 | github-code | 1 |
70839157473 | n = int(input())
arr = [1] * n
temp = 0
for i in range(1,n):
arr[i] = arr[i-1] + i
if arr[i] > n:
temp = i
break
# print(temp)
# print(arr)
adj = []
for i in range(1,temp+1):
if i % 2 == 0:
adj.append([1, i])
else:
adj.append([i, 1])
# print(adj)
k = n - arr[temp-1]
# p... | ckdfh0917/Algorithm | 백준/단계별로 풀어보기/1193. 분수찾기.py | 1193. 분수찾기.py | py | 549 | python | en | code | 0 | github-code | 1 |
21233407475 | import requests
from lxml import etree
if __name__ == '__main__':
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36'
}
url = 'https://anqiu.58.com/ershoufang/'
page_text = requests.get(url = url,headers = hea... | xiaomaozhaocai/python | pachong/05.requests实战之爬取药监局.py | 05.requests实战之爬取药监局.py | py | 411 | python | en | code | 1 | github-code | 1 |
35650658942 | from collections import namedtuple
import numpy as np
Experience = namedtuple('Experience', 'state action reward new_state game_over')
'''
A more efficient implementation of replay memory
to optimize for space.
This implementation of ReplayMemory was inspired by the following
sources:
- devsisters/DQN-tensorflow: ... | prabhatnagarajan/repro_dqn | dqn/replaybuffer.py | replaybuffer.py | py | 3,689 | python | en | code | 6 | github-code | 1 |
35470028218 | import tkinter as tk
counter = 0 #counting every second
def counting(label: tk):
def count():
global counter
counter += 1
label.config(text=str(counter))
label.after(1000, count)
count()
root = tk.Tk()
root.title('Counting time (s)')
root.geometry('420x240')
label = tk.La... | coderkai03/Python-TKinter-Lab | partB.py | partB.py | py | 491 | python | en | code | 0 | github-code | 1 |
70882252515 | # -*- coding: utf-8 -*-
from environment import GraphicDisplay, Env
class Agent:
def __init__(self, env):
self.env = env
# 2-d list for the value function
self.value_table = [[0.0] * env.width for _ in range(env.height)]
self.discount_factor = 0.9
# get next value function tabl... | chopperkim/aicnu | value_iteration_dp/value_iteration_for_student.py | value_iteration_for_student.py | py | 2,046 | python | en | code | 0 | github-code | 1 |
70749879395 | from http.server import BaseHTTPRequestHandler
import json
import debugserver
def capitalize(string, lower_rest=False):
return string[:1].upper() + (string[1:].lower() if lower_rest else string[1:])
class handler(BaseHTTPRequestHandler):
def do_GET(self):
path = self.path
print('path is ', path)
... | johnayoung/test-zeit-now | capitalize.py | capitalize.py | py | 621 | python | en | code | 0 | github-code | 1 |
28146672506 | #################################################################################
# Capstone Project - Career Study Advisor
# By: Kevin Elliott (ellkev004), Ryan Wong (wngrya001) and Zena Kelz (klzzen001)
# 21/07/2014 - 22/09/2014
# This document is for navigation throught the website
################################... | ryanwongsa/CareerStudyAdvisor | csa/advisor/urls.py | urls.py | py | 2,718 | python | en | code | 0 | github-code | 1 |
4516725284 | # Волшебный шар. Напишите программу, которая моделирует волшебный шар, т. е.
# игрушку, предсказывающую будущее, которая дает случайный ответ на общий вопрос,
# требующий ответа "да" или "нет". Среди исходного кода главы 7, а также в подпапке
# data "Решений задач по программированию" соответствующей главы, вы найдете ... | su1gen/python-homework | lesson03HW/task18.py | task18.py | py | 1,681 | python | ru | code | 0 | github-code | 1 |
73004256993 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.conf.urls import url
from . import views
app_name = 'proyecto'
urlpatterns = [
# URL pattern for the UserListView
url(
regex=r'^$',
view=views.ProyectoListView.as_view(),
name='list'
),
... | danielstp/jaguares | proyecto/urls.py | urls.py | py | 883 | python | en | code | 1 | github-code | 1 |
43111521803 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2016/12/26 16:22
# @Author : Aries
# @Site :
# @File : 4-6_principal_component_analyze.py
# @Software: PyCharm
#主成分分析 降维
import pandas as pd
#参数初始化
inputfile = 'principal_component.xls'
outputfile = 'dimention_reducted.xls' #降维后的数据
data = pd.read_exc... | caijiahao/machineLearning | src/Python数据分析与挖掘实战/数据预处理/4-6_principal_component_analyze.py | 4-6_principal_component_analyze.py | py | 401 | python | en | code | 1 | github-code | 1 |
33593223112 | import numpy as np
from scipy.optimize import curve_fit
def logistic_model(t,r,K):
return K/(1+(K/p0-1)*np.exp(-r*t))
N=int(input().strip())
populations=list(map(int,input().strip().split()))
T=int(input().strip())
years_to_predict=[int(input().strip())for _ in range(T)]
p0=populations[0]
t=np.arange(0,N)
initial_g... | MicroPlusone/SDU_mathmodeling_program | 山东大学 数学模型 程序汇总/人口增长的logistic模型.py | 人口增长的logistic模型.py | py | 599 | python | en | code | 1 | github-code | 1 |
23910040963 | #!/user/bin/env python3
# Note that all the tests in this module require dataset (either network access or cached)
import os
import glob
import shutil
import torchtext.data as data
from torchtext.datasets import AG_NEWS
import torch
from ..common.torchtext_test_case import TorchtextTestCase
def conditional_remove(f):... | MauiDesign/PyTorchText | test/data/test_builtin_datasets.py | test_builtin_datasets.py | py | 14,783 | python | en | code | 0 | github-code | 1 |
37259020703 | from gpaw import *
from ase.io import read, write
from ase.eos import EquationOfState
from ase.optimize import BFGS
import numpy as np
import math as m
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# User inputs
#################################################################
kpoints = [4, 4... | venkkris/scripts | bo_nmc.py | bo_nmc.py | py | 3,609 | python | en | code | 0 | github-code | 1 |
11613445795 | import requests
import json
from bs4 import BeautifulSoup
import re
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
# Everthing in one file
stop_words = stopwords.words('english')
def scrap_content(url):
page=requests.get(url)
page_content= page.text
content = BeautifulSoup(p... | Abdelrahman-Abuhelal/free-GPT | main.py | main.py | py | 3,284 | python | en | code | 0 | github-code | 1 |
24125526099 | import os
from pathlib import Path
dir_ = os.path.abspath(os.curdir)
p = Path(f'{dir_}/text2/text3/text4/text5/text6')
p.mkdir(parents=True, exist_ok=True)
def rec():
for i in os.listdir():
if Path(i).is_file():
print('file-',i)
else:
print('dir-',i)
os.c... | RozhkovaDarya/Rozhkova_Darya_dz_7 | 2.py | 2.py | py | 544 | python | en | code | 0 | github-code | 1 |
71113924193 |
from django.urls import path, include
from my_plant_app.web.views import create_profile, show_index, details_profile, edit_profile, delete_profile, \
show_catalogue, create_plant, details_plant, edit_plant, delete_plant
urlpatterns = (
path('', show_index, name='show index'),
path('profile/', include([
... | GeorgiLukanov87/PythonWeb-Django-Framework | my_plant_app/my_plant_app/web/urls.py | urls.py | py | 883 | python | en | code | 4 | github-code | 1 |
24012699516 | import aiopg
class DbSession(object):
engine = None
connection = None
cursor = None
status = None
def __init__(self, engine, *, transactional=True):
self.transactional = transactional
self.engine = engine
self.connection = None
self.status = 'new'
@property
... | eteamin/buzzle | buzzle/database/session.py | session.py | py | 3,033 | python | en | code | 3 | github-code | 1 |
37690690285 | import numpy as np
from .vehicle_pose import VehiclePose
from .waypoint import Waypoint
from typing import List, Union
import sys
import math
import time
from queue import PriorityQueue
from io import StringIO
MAX_FLOAT = sys.float_info.max - 10
DIR_TOP = 0
DIR_TOP_LEFT = 1
DIR_TOP_RIGHT = 2
DIR_LEFT = 3
DIR_RIGHT =... | out0/crawler-poc | planner/astar.py | astar.py | py | 8,784 | python | en | code | 0 | github-code | 1 |
12578144176 | """
Created on Tue Feb 28 11:44:11 2023.
@author: Vishal Philip
This script consists of functions for plotting line charts,
bar charts and pie charts using matplotlib library.
It also reads data from excel files using pandas.
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
... | vishalphilip1/MScDataScience | Assignment1/Visualisation.py | Visualisation.py | py | 3,898 | python | en | code | 0 | github-code | 1 |
8092641902 | # Распознавание лиц с помощью нейронных сетей
# Необходимо установить следующие компоненты:
# pip install git+https://github.com/rcmalli/keras-vggface.git
# pip install mtcnn
# pip install keras-applications
# Заменить строку на from keras.utils.layer_utils import get_source_inputs
# В файле keras_vggface/models.py
fro... | eabuntov/poiist_lab | lab7.py | lab7.py | py | 2,763 | python | en | code | 0 | github-code | 1 |
31764970088 | def COOKEweights(SQ_array, TQ_array, realization, alpha, background_measure,
overshoot, cal_power):
"""Compute the weights with Cooke formulation
Parameters
----------
SQ_array : numpy array
Array with answers to seed questions
TQ_array : numpy array
Array with answ... | demichie/elicipy | COOKEweights.py | COOKEweights.py | py | 9,208 | python | en | code | 0 | github-code | 1 |
21380838489 | import pygame, sys, math, random, time, Object
pygame.init()
width = 1000
height = 1000
size = width, height
fps = 60
bgColor = (83,174,232)
screen = pygame.display.set_mode(size)
icon = pygame.image.load('icon.png')
pygame.display.set_caption("Ball Demo")
pygame.display.set_icon(icon)
clock = pygame.t... | jtcnh/BallDemo | main.py | main.py | py | 1,030 | python | en | code | 0 | github-code | 1 |
25053928496 | # Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
helper_pointer = main_pointer = head
prev = None
while helper_point... | snk95/Sarvesh-Code | Leetcode/Fundamental/Remove_k_from_end_linkedlist.py | Remove_k_from_end_linkedlist.py | py | 848 | python | en | code | 0 | github-code | 1 |
11912264448 | import os
import random
import shutil
from src.club.club import *
from src.club.player import Player
from src.club.training_report import TrainingReport
from src.club.training_venue import TrainingVenue
from src.match.fixture import MatchType, Venue
from src.match.match_report import MatchReport
from src.utilities.sav... | psibuck/Radnor | run_tests.py | run_tests.py | py | 6,268 | python | en | code | 0 | github-code | 1 |
15347359304 | import pickle
import torch
import os
from ood_samplefree.datasets import __DATASETS__, get_transform
from ood_samplefree.architectures import __ARCHITECTURES__, \
__ARCHITECTURES_224__
from ood_samplefree.experiments import OODStreamerWithSummaries
NUM_WORKER = 4
BATCH_SIZE = 256
def run(dataset, architecture, ... | jm-begon/ood_samplefree | experiments/main.py | main.py | py | 4,667 | python | en | code | 2 | github-code | 1 |
39761293672 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans, DBSCAN
from sklearn import metrics
from sklearn.datasets import make_blobs
from scipy.spatial import Voronoi
# Aquí tenemos definido el sistema X de 1000 elementos de dos estados
# construido a p... | peinadoginesd/clustering | clustering.py | clustering.py | py | 10,811 | python | es | code | 0 | github-code | 1 |
19115387739 | import getChannelInfo
from flask import Flask, request, url_for, redirect, render_template
app = Flask(__name__)
@app.route("/", methods=["POST","GET"])
def home():
if request.method == "POST":
return redirect(url_for("results", youtubeUrl = request.form["url"].split('.com/')[-1]))
else:
retur... | luantorrex/youtube-insights | main.py | main.py | py | 1,293 | python | en | code | 0 | github-code | 1 |
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