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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
32961592369 | import base64
import json
import re
from datetime import datetime, timezone, timedelta
from typing import Optional, Any
from .log import Log
def lowercase(string): return str(string).lower()
def uppercase(string): return str(string).upper()
def snakecase(string):
string = re.sub(r"[\-\.\s]", '_', str(string)... | ServiceStack/servicestack-python | servicestack/utils.py | utils.py | py | 7,623 | python | en | code | 3 | github-code | 1 |
9269156525 | import os
import json
import requests
class app_info_mode():
def __init__(self):
self.path = os.path.abspath(os.path.dirname(__file__))
self.mode = "translate"
self.print_format = "t_mode"
self.version = "v2.0"
self.fromlang = 'en'
self.tolang = 'zh'
#get th... | ZZP-DMU/tub | init.py | init.py | py | 3,115 | python | en | code | 1 | github-code | 1 |
2440120696 | # Polinomial Linear Regression
# 1) Importing Libraries
import numpy as np # Mathematics fucntopns
import matplotlib.pyplot as plt # Plot and Charts
import pandas as pd #Data Set management and import them
import seaborn as sns # Covariance Matrix
# 2) importing Datas... | awaisajaz1/Machine-Learning-Learning-Path | Machine Learning A-Z/Part 2 - Regression/Section 6 - Polynomial Regression/POLINOMIAL_LINEAR_REGRESSION.py | POLINOMIAL_LINEAR_REGRESSION.py | py | 4,396 | python | en | code | 0 | github-code | 1 |
11190749780 | from __future__ import annotations
import contextlib
import difflib
import hashlib
import os
import pathlib
import random
import string
from typing import Callable, Protocol
from xml.dom import minidom
from xml.etree import ElementTree
import numpy as np
import pytest
from click.testing import CliRunner
from PIL impo... | abey79/vpype | tests/conftest.py | conftest.py | py | 8,656 | python | en | code | 618 | github-code | 1 |
41543948505 | from flask import Blueprint, request, jsonify, json
from db import db, app, ma
from flask import Flask, redirect, request, jsonify, json, session, render_template
from model.turnos import turnos, turnosSchema
routes_turnos = Blueprint("routes_turnos", __name__)
turno_schema = turnosSchema()
turnos_schema = turnosSc... | winsignares/lavadocarro | CARW/api/turno.py | turno.py | py | 1,332 | python | en | code | 0 | github-code | 1 |
72153324834 | """Tests for pydent.base.py."""
import copy
import pytest
from pydent import AqSession
from pydent import ModelBase
from pydent import ModelRegistry
from pydent.exceptions import NoSessionError
from pydent.marshaller import add_schema
from pydent.marshaller import exceptions
from pydent.marshaller import fields
from ... | aquariumbio/pydent | tests/test_pydent/test_base.py | test_base.py | py | 8,013 | python | en | code | 6 | github-code | 1 |
10451723483 | import os
import maya.cmds as cmds
from functools import partial
import Core
reload(Core)
class UIContainer():
frozen = False
def build(parent,
imagesPath,
iconSize=25,
height=20,
marginSize=5):
"""
build widget
@param parent : parent layout in maya
@image... | darkuress/animBuddy | animBuddy/ViewportRefresh/Widget.py | Widget.py | py | 1,205 | python | en | code | 1 | github-code | 1 |
14990079057 | from datetime import datetime
import cv2 as cv
import matplotlib.pyplot as plt
def perform_sift_performant(query, train):
start = datetime.now()
img1 = cv.imread(query, cv.IMREAD_GRAYSCALE) # queryImage
img2 = cv.imread(train, cv.IMREAD_GRAYSCALE) # trainImage
# Initiate SIFT detector
sift = c... | Mini-Sylar/Fingerprint-Matching-System | Algorithms/SIFT/Performant_SIFT.py | Performant_SIFT.py | py | 1,399 | python | en | code | 7 | github-code | 1 |
14386114791 | '''
47. 이진 트리 직렬화 & 역직렬화
이진트리를 배열로 직렬화하고, 반대로 역직렬화하는 기능을 구현하라.
https://leetcode.com/problems/serialize-and-deserialize-binary-tree/
'''
from collections import deque
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right ... | hyo-eun-kim/algorithm-study | ch14/hyoeun/ch14_6_hyoeun.py | ch14_6_hyoeun.py | py | 1,870 | python | en | code | 0 | github-code | 1 |
34523987410 | from Utils import *
from webbrowser import open as open_url
def _main():
from main import main
GithubPanel().panel(main)
class GithubPanel():
def __init__(self) -> None:
from main import VALIDATING_CHAINS
self.VALIDATING_CHAINS = VALIDATING_CHAINS
def panel(self, main_panel_... | notional-labs/chain-chores | Panel_Github.py | Panel_Github.py | py | 5,667 | python | en | code | 4 | github-code | 1 |
4622716657 | import os
from shutil import copyfile
from typing import List, TYPE_CHECKING
import jinja2
from ..checks.issues import Issues
from ..checks.file_size import FileSizeCheck
from .utils import create_parent_directory
from ..checks.base import Check
if TYPE_CHECKING:
from combine.core import ContentDirectory
class ... | dropseed/combine | combine/files/core.py | core.py | py | 2,317 | python | en | code | 10 | github-code | 1 |
26714113006 | import os
import sys
import math
import argparse
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import matplotlib
matplotlib.use('Agg')
import numpy as np
from models import *
import datasets as dsets
from datasets import PairwiseDataset
models = {
'cyclegan': CycleGAN,
'unit': UNIT
}
def load_data(data_type):
... | tatsy/keras-generative | train_im2im.py | train_im2im.py | py | 2,392 | python | en | code | 123 | github-code | 1 |
25346439097 | from sys import exit
from kojak import cli
from kojak.exceptions import KojakException
from kojak.models import Analyze
from kojak.reports import Report
from pbr.version import VersionInfo
def main():
args = cli.argparser().parse_args()
version = VersionInfo("kojak")
if args.version:
print("koja... | openuado/kojak | kojak/__main__.py | __main__.py | py | 845 | python | en | code | 1 | github-code | 1 |
27358429875 | from views import ViewsInterface
from .checkers import check_menu
from .simulations import Simulations
def main_menu(view: ViewsInterface):
options = [
(
'Effectuer une simulation',
Simulations.run,
{
'view': view
}
),
(
... | Nemesix493/Projet-7-AlgoInvest-Trade | controllers/__init__.py | __init__.py | py | 620 | python | en | code | 0 | github-code | 1 |
10428105366 | import errno
import linecache
import mimetypes
import os
import signal
import sys
from datetime import datetime
from functools import wraps
from urllib.parse import urlparse
import pandas as pd
import requests
from bs4 import BeautifulSoup
from validator_collection import checkers
EN_KEY_WORDS = ["debt", "statistical... | dmatekenya/UNSIAP-Python-Oct-2019 | src/python-for-data-science/case_study_web_scraping.py | case_study_web_scraping.py | py | 11,265 | python | en | code | 0 | github-code | 1 |
4970143606 | def game_core_v3(number) -> int:
"""Угадываем число с наименьшим количеством попыток, на каждой итерации делим диапазон значений на 2.
Args:
number (int, optional): Загаданное число.
Returns:
int: Число попыток
"""
min = 0
max = 100
count = 0
while True:
predict = round((min... | Alexey-919/guess-the-number-game | project_1/game.py | game.py | py | 689 | python | ru | code | 0 | github-code | 1 |
29847234118 |
import server
from pico2d import *
class FixedBackground:
def __init__(self):
self.image = load_image('SAYBAB_background.png')
self.canvas_width = get_canvas_width()
self.canvas_height = get_canvas_height()
self.w = self.image.w
self.h = self.image.h
self.bgm = l... | TaeRimUm/SAYBAB_PROJECT_1 | background.py | background.py | py | 1,192 | python | en | code | 1 | github-code | 1 |
191431414 | import numpy
from chainer import cuda
from chainer import function
from chainer.utils import type_check
class BatchNormalization(function.Function):
"""Batch normalization on outputs of linear or convolution functions.
Args:
size (int or tuple of ints): Size (or shape) of channel
dimens... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITLAB_REPOS/jamieoglindsey0@chainer/chainer/functions/batch_normalization.py | batch_normalization.py | py | 5,086 | python | en | code | 2 | github-code | 1 |
5558903910 | import os, re, json
import xml.etree.ElementTree as ET
FACULTIES = {"Факультет інформатики", "Факультет економічних наук"}
# these are hardcoded, but idk how to figure them out from the file
DOCSPECS = {"Факультет економічних наук": {
"ек": "Економіка",
"мар": "Маркетинг",
"мен": "Менеджмент",
"фін": ... | Doodlinka/FidoTask | scheduleParser.py | scheduleParser.py | py | 8,036 | python | en | code | 0 | github-code | 1 |
17517600280 | class Solution:
def splitString(self, s: str) -> bool:
n = len(s)
def backtrack(cur_idx, prev_idx):
if cur_idx == n:
return True
for j in range(cur_idx, n):
val = int(s[cur_idx:j+1])
if val + 1 == prev_idx and back... | Eben-Success/A2SVOnboarding | A2SV_Education/Backtracking/1849. Splitting a String Into Descending Consecutive Values.py | 1849. Splitting a String Into Descending Consecutive Values.py | py | 542 | python | en | code | 0 | github-code | 1 |
31982254831 | from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .models import (
Persona,
CallesIndependencia,
)
from .forms import (
PersonaForm,
PersonaVerificacionForm
)
# AUTOCOMPLETADO CALLES
from django.http import ... | independencia-datalake/datalake | datalake/core/views.py | views.py | py | 3,396 | python | es | code | 0 | github-code | 1 |
13342642180 | import sys
import os
from basic.constant import ROOT_PATH
from basic.common import checkToSkip, printStatus
INFO = __file__
def process(options, collection):
rootpath = options.rootpath
tpp = options.tpp
tagfile = os.path.join(rootpath, collection, "TextData", "id.userid.%stags.txt" % tpp)
resultfi... | li-xirong/jingwei | preprocess/count_tags.py | count_tags.py | py | 2,257 | python | en | code | 48 | github-code | 1 |
40898316325 | # 백준 13단계 집합과 맵
# 10815번 숫자 카드
import sys
sys.stdin = open('input.txt')
input = sys.stdin.readline
# 여기부터 제출해야 한다.
N = int(input())
list_N = list(map(int, input().split()))
M = int(input())
list_M = list(map(int, input().split()))
list_N.sort()
# 이진탐색
def binary_search(array, target, start, end):
while start ... | boogleboogle/baekjoon | step/13/1_10872.py | 1_10872.py | py | 1,024 | python | en | code | 0 | github-code | 1 |
4199197855 | N = int(input())
peopleList = list(map(int, input().split()))
resultList = [0 for _ in range(len(peopleList))]
for i in range(N):
count = 0
tall = i + 1
leftNum = peopleList[i]
for j in range(N):
if resultList[j] == 0 and count == leftNum:
resultList[j] = tall
break
... | hyeonwook98/Algorithm | Baekjoon/1138.py | 1138.py | py | 394 | python | en | code | 0 | github-code | 1 |
27281990840 | """
"""
from __future__ import annotations
import sys
import xml.etree.ElementTree as ET
# iter - any depth
# find - just direct children
def main(args: list[str]):
""""""
path = "eagle-files/CAN-Test-Board"
schPath = path + ".sch"
brdPath = path + "brd"
print(brdPath)
if(__name__ == "__main... | grantg012/EagleEyeSight | tests/test1.py | test1.py | py | 349 | python | en | code | 0 | github-code | 1 |
21030594928 | import time
import random
import datetime
import sys
import numpy as np
from utils.parameters import parse_command_line
from utils.bayesian_optimization import *
from utils.default_params import *
np.set_printoptions(precision = 4, suppress = True)
np.set_printoptions(threshold=sys.maxsize)
###### TRAIN PARAMETERS #... | simonetibaldi/BATQuO | src/main_pulser.py | main_pulser.py | py | 1,272 | python | en | code | 0 | github-code | 1 |
73034166753 | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Jayesh Kariya <jayeshk@saltstack.com>`
'''
# Import Python Libs
from __future__ import absolute_import
# Import Salt Testing Libs
from salttesting import TestCase, skipIf
from salttesting.mock import (
NO_MOCK,
NO_MOCK_REASON
)
from salttesting.helpers imp... | shineforever/ops | salt/tests/unit/modules/win_disk_test.py | win_disk_test.py | py | 1,683 | python | en | code | 9 | github-code | 1 |
18918186348 | '''
LEGB
Local Enclosed Global Built-in
'''
x = 'global X'
def outer():
#global x
x = 'outer X'
def inner():
#nonlocal x
x = 'inner X'
print(x)
inner()
print(x)
outer()
print(x)
| srawla3010/py-training | _practice/MS_corey/LEGB.py | LEGB.py | py | 194 | python | en | code | 0 | github-code | 1 |
8804112016 | ############################################
# MATHEMATICS #
############################################
# #
# COUTRET-ROZET Corentin #
# #
# Project : 302separation #
# ... | sheiiva/302separation | sources/ArgumentManager.py | ArgumentManager.py | py | 1,643 | python | en | code | 0 | github-code | 1 |
34139484273 | class Solution:
def minSetSize(self, arr: List[int]) -> int:
len_arr = len(arr)
dic = {}
res = 0
for num in arr:
dic[num] = dic.get(num, 0) + 1
sorted_values = sorted(dic.values())
while len_arr > len(arr)/2:
len_arr -= sorted_values.pop()
... | rawanelbanaa/ProblemSolving_LeetCode | 1338-reduce-array-size-to-the-half/1338-reduce-array-size-to-the-half.py | 1338-reduce-array-size-to-the-half.py | py | 354 | python | en | code | 0 | github-code | 1 |
26723797186 | import EventOperation
import unittest
from unittest.mock import Mock, patch
import CallbackHandler
class TestEventOperation(unittest.TestCase):
@patch("ResponseCreator.createJsonResponse")
def testThatChallengeInRequestIsReturnedInResponseIfSet(self, createJsonResponseMock):
challengeRequest = moc... | MarkusTillman/ScanishTranslator | EventOperation_Test.py | EventOperation_Test.py | py | 1,993 | python | en | code | 1 | github-code | 1 |
275881198 | from git import Repo
import datetime
import time
from datetime import date, timedelta
import json
import requests
now = datetime.datetime.now()
clean_now = now.strftime("%Y-%b-%d, %A %I:%M:%S")
message = "Commit made on: "
full = message + clean_now
working_tree_dir = '/home/ec2-user/crontGit/ltserge.github.io'
file... | LtSerge/ltserge.github.io | ltserge.py | ltserge.py | py | 2,098 | python | en | code | 0 | github-code | 1 |
44848288194 | import tkinter as tk
import sys
class Aplicacion:
def __init__(self):
self.ventana1=tk.Tk()
self.ventana1.title("titulo de la ventana")
self.label1=tk.Label(self.ventana1, text="etiqueta n 1")
self.label1.grid(column=0, row=0)
self.label2=tk.Label(self.ventana1, text="etique... | Drako01/Trabajo-Practico---Python | Marcelo/0000 ejercicios/tkinkerpoo/00003tklabelyboton.py | 00003tklabelyboton.py | py | 657 | python | es | code | 2 | github-code | 1 |
32794252932 |
class Publication:
def __init__(self, title, price):
self.title = title
self.price = price
class Periodical(Publication):
def __init__(self, title, price, period, publisher):
super().__init__(title, price)
self.period = period
self.publisher = publisher
class Book(Pu... | MichalJagielo/Python_examples | python_oop/04_python_oop.py | 04_python_oop.py | py | 1,339 | python | en | code | 0 | github-code | 1 |
70735088674 | import os
import traceback
from functools import partial
from typing import Union, Any
import h5pyd
from Prop3D.common.featurizer import ProteinFeaturizer
from Prop3D.util import safe_remove
from Prop3D.generate_data.data_stores import data_stores
from toil.job import Job
from toil.realtimeLogger import RealtimeLogg... | bouralab/Prop3D | Prop3D/generate_data/calculate_features_hsds.py | calculate_features_hsds.py | py | 8,865 | python | en | code | 16 | github-code | 1 |
18169707301 | file = open("input.txt", "r")
input = [int(line) for line in file]
def part1():
maximum = max(input) + 3
sorted_input = sorted(input + [0, maximum])
diffs = [
sorted_input[i + 1] - sorted_input[i]
for i in range(len(sorted_input) - 1)
]
return diffs.count(1) * diffs.count(3)
def part2():
def coun... | pedroclobo/advent-of-code | 2020/10/solution.py | solution.py | py | 774 | python | en | code | 0 | github-code | 1 |
70352172194 | from lii3ra.ordertype import OrderType
from lii3ra.exit_strategy.exit_strategy import ExitStrategyFactory
from lii3ra.exit_strategy.exit_strategy import ExitStrategy
class ProfitProtectorFactory(ExitStrategyFactory):
params = {
# long_profit_floor, long_pp_ratio, short_profit_floor, short_pp_ratio
... | tranducquy/lii3ra | lii3ra/exit_strategy/profit_protector.py | profit_protector.py | py | 6,736 | python | en | code | 0 | github-code | 1 |
27439167711 | from __future__ import absolute_import
from threading import Thread, Lock, Event, Condition
import ctypes
import os
import sys
import traceback
import shutil
from time import time
import hashlib
from tempfile import mkstemp
from functools import wraps, partial
from six.moves import xrange
from past.builtins import exec... | thiagoralves/OpenPLC_Editor | editor/runtime/PLCObject.py | PLCObject.py | py | 28,013 | python | en | code | 307 | github-code | 1 |
28144934766 | from ignite.metrics import Metric
from ignite.metrics.metric import sync_all_reduce, reinit__is_reduced
import torch
EPSILON_FP16 = 1e-5
class MultiClassAccuracy(Metric):
def __init__(self, threshold=0.5, num_classes=1000, output_transform=lambda x: x):
self.correct = None
self.total = None
... | ryanwongsa/ECCV22_Chalearn-MSSL | metrics/multiclassaccuracy.py | multiclassaccuracy.py | py | 1,276 | python | en | code | 4 | github-code | 1 |
32029297558 | from PIL import Image
import numpy as np
from tqdm import tqdm
import pickle
def load_data(file):
try:
with open(file, 'rb') as fo:
data = pickle.load(fo)
return data
except:
with open(file, 'rb') as f:
u = pickle._Unpickler(f)
u.encoding = 'latin1'
... | OscarcarLi/meta-analysis-classification | datasets/filelists/FC100/process.py | process.py | py | 974 | python | en | code | 1 | github-code | 1 |
43679695528 | initial_file = open('numbers.txt', 'r')
result_list = [result.rstrip() for result in initial_file]
summ = 0
for result in result_list:
summ += int(result)
print(summ)
final_file = open('results.txt', 'w')
final_file.write(str(summ))
initial_file.close()
final_file.close() | Dober616/work | 22/22.4/1. Сумма чисел.py | 1. Сумма чисел.py | py | 276 | python | en | code | 0 | github-code | 1 |
27155993930 | import ast
import json
from http.server import BaseHTTPRequestHandler
from it.inspector import Inspector
from it.session import Session
from it.utils import Group, logger
class InspectorServer(BaseHTTPRequestHandler):
def do_GET(self, *args, **kwargs):
self.respond(200, message="use post method")
de... | three-headed-giant/it | it/server/handler.py | handler.py | py | 2,035 | python | en | code | 79 | github-code | 1 |
72153323874 | from uuid import uuid4
import pytest
from pydent.marshaller.base import add_schema
from pydent.marshaller.base import ModelRegistry
from pydent.marshaller.fields import Alias
from pydent.marshaller.fields import Callback
from pydent.marshaller.fields import Field
from pydent.marshaller.fields import Nested
from pyden... | aquariumbio/pydent | tests/test_marshaller/test_fields/test_marshalling.py | test_marshalling.py | py | 19,065 | python | en | code | 6 | github-code | 1 |
32918003515 | import glob
import io
import logging
import re
import textwrap
import traceback
from contextlib import redirect_stdout
import discord
from discord.ext import commands
from discord.ext.commands import Cog, Bot, Context
from cogs.commands import settings
from utils import embeds
from utils.record import record_usage
#... | richtan/chiya | cogs/commands/moderation/administration.py | administration.py | py | 13,552 | python | en | code | null | github-code | 1 |
31518888968 | import os
import gzip
import shutil
from inspect import isawaitable
from typing import Optional, Union, Dict, Tuple, Iterable, Iterator, List, Coroutine, NamedTuple, Callable, Generator
from logging import Logger
from pandas import read_csv, DataFrame, isna, Series, concat
import numpy as np
from pathlib import Path
fr... | NatureGeorge/pdb-profiling | pdb_profiling/utils.py | utils.py | py | 34,681 | python | en | code | 9 | github-code | 1 |
25597986377 |
# coding: utf-8
# In[2]:
import argparse
import pandas as pd
import numpy as np
def main():
# Parse arguments from command line
parser = argparse.ArgumentParser()
# Set up required arguments this script
parser.add_argument('function', type=str, help='function to call')
parser.add_argument('start... | jayacl5/bigdatafed | getCommodityPrice.py | getCommodityPrice.py | py | 1,201 | python | en | code | 0 | github-code | 1 |
14935617233 | #!/usr/bin/env python3
import sys
import curses
import argparse
import debugoutput
import keyinput
import mapgenfuncs
from gameworld import GameWorld, GameMap
from screenpanels import MessagePanel, ListMenu
def draw_screen(stdscr, gameworld, gamewindow, panellist, show_debug_text=False):
"""Display the current g... | DeepwaterCreations/rockslike | rockslike.py | rockslike.py | py | 3,731 | python | en | code | 0 | github-code | 1 |
37306582499 | # -*- coding: utf-8 -*-
#
### PATHS DATASETS
#
PATH_DATA = 'data/'
PATH_DATA_RAW = PATH_DATA+'raw/'
# cognitive
PATH_DATA_COGNITIVE = PATH_DATA+'cognitive/'
PATH_DATA_FEATURES01_COGNITIVE = PATH_DATA+'features01_cognitive/'
PATH_FEATURES01_COGNITIVE_CSV = PATH_DATA_FEATURES01_COGNITIVE+'features.csv'
# dlib
PATH_DL... | next-samuelmunoz/hci-eye_tracking | eye_tracking/config.py | config.py | py | 1,256 | python | en | code | 1 | github-code | 1 |
33159388072 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import os
import fitz
import img2pdf
class WqxtPipeline(object):
def process_item(self, item, spider):
return ... | ithomia/wenquan_scrapy | wqxt/pipelines.py | pipelines.py | py | 1,713 | python | en | code | 3 | github-code | 1 |
3505597412 | import os
import socket
import json
import requests
import datetime
import threading
from urllib import parse
from flask import Flask,request,redirect,url_for,render_template
from Core import Request
from Classifier import Classifier
from Configuration import Configuration
from Log import LogController
class Transpare... | Scentedtea0210/Web-Application-Firewall | WAF/TransparentProxy.py | TransparentProxy.py | py | 8,066 | python | en | code | 0 | github-code | 1 |
5407069729 | # coding: utf-8
"""
This module contains all data objects getted from forum and wiki API. These API provides JSON data, and this module enhances data model by mirroring data attributes to data model. Here is an exemple :
.. code-block:: python
from campbot import CampBot
bot = CampBot(use_demo=True)
... | c2corg/CampBot | campbot/objects.py | objects.py | py | 11,732 | python | en | code | 2 | github-code | 1 |
5603964278 | #!/usr/bin/env python3
from itertools import product, permutations, combinations, combinations_with_replacement
import heapq
from collections import deque, defaultdict, Counter
from bisect import bisect
import sys
def input(): return sys.stdin.readline().rstrip()
def list_int(): return list(map(int, input().split())... | yuu246/Atcoder_ABC | practice/recommendation/ABC218_D.py | ABC218_D.py | py | 1,194 | python | en | code | 0 | github-code | 1 |
35042213128 | from django.contrib import admin
from .forms import CustomUserCreationForm, AdminUserChangeForm
from .models import CustomUser
from django.contrib.auth.admin import UserAdmin
# Register your models here.
class CustomUserAdmin(UserAdmin):
add_form = CustomUserCreationForm
form = AdminUserChangeForm
model ... | kjaymiller/diversity-orgs-django | accounts/admin.py | admin.py | py | 716 | python | en | code | 7 | github-code | 1 |
6874365117 | nombre = "Carlos"
apellido = "Juan Perez"
edad = 37
direccionDeCorreo = "CarlosJuanPerez@hotmail.com"
telefono = 342105832
casado = False
hijos = True
listaAmigos = ["Marco", "Daniel", "Hernesto"]
peliculasFav = {"1": "Pulp Fiction", "2": "Anaconda", "3": "El Club De La Pelea"}
datosDeCarlos = [nombre, apellido, edad,... | Guido564/open-bootcamp-fullstack | Python/Modulo 3/Tarea1.py | Tarea1.py | py | 413 | python | es | code | 0 | github-code | 1 |
33630670598 | # -*- coding: utf-8 -*-
'''
Created on 13th may 2016
@author: Daniel Durrenberger
daniel.durrenberger@amaris.com
Python 2.7.12
Pandas 0.18.1
Numpy 1.11.1
Scipy 0.18.0
'''
import numpy as np
import preprocessing as pp
def window_idx(time_ref, seconds_before, seconds_after, fs):
start = int(time_ref - seconds_befo... | hugueschips/taf | processing.py | processing.py | py | 3,263 | python | en | code | 0 | github-code | 1 |
28420576380 | # -*- coding: utf-8 -*-
'''
作业2
'''
# @Time : 2021/4/5 18:40
# @Author : LINYANZHEN
# @File : pytorch2_2.py
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import datetime
import time
#... | AWSDJIKL/Artificial-Intelligence-and-Neural-Network | pytorch2/pytorch2_2.py | pytorch2_2.py | py | 3,039 | python | en | code | 0 | github-code | 1 |
20426891679 | from typing import Iterable, Any
def is_present(substring: str, iterable: Iterable[str]):
for string in iterable:
if string is not None and substring in string:
return True
return False
def set_to_empty(iterable: list[Any]) -> list[Any]:
if iterable == ['']:
iterable = []
... | BilakshanP/SketchX | Main/core/helpers/misc_helper.py | misc_helper.py | py | 340 | python | en | code | 0 | github-code | 1 |
7960570876 | #1929 concatenation of arrays
"""
---given an array of ints nums, of length n, create an array ans
---of length 2n, where ans[i]=nums[i] and ans[i+n]=nums[i]
---ans is the concatenation of 2 nums arrays
"""
class Solution(object):
def getConcatenation(self,nums):
ans=[]
for i in range(2):... | npicciano79/leetcode_problems | python/lc_1929concatArray.py | lc_1929concatArray.py | py | 477 | python | en | code | 0 | github-code | 1 |
8364525664 | """
:Author: Daniel Mohr
:Email: daniel.mohr@dlr.de
:Date: 2021-02-19
:License: GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007.
tests the script: pydabu check_nasa_ames_format
"""
import subprocess
try:
from .data_path_class import DataPathClass
except (ModuleNotFoundError, ImportError):
from data_path_... | dlr-pa/pydabu | tests/mixin_check_nasa_ames_format.py | mixin_check_nasa_ames_format.py | py | 1,366 | python | en | code | 4 | github-code | 1 |
23724759222 | import pathlib
import pygubu
PROJECT_PATH = pathlib.Path(__file__).parent
PROJECT_UI = PROJECT_PATH / "snakegame.ui"
import tkinter as tk
from tkinter import *
from PIL import ImageTk, Image
import random, os
import numpy as np
from operator import itemgetter
import pickle
# - GAMEPLAN DATA SETUP
GAMEPLAN_SIZE =... | mwsse/raw_nn | snakeAI.py | snakeAI.py | py | 12,755 | python | en | code | 0 | github-code | 1 |
72895055393 | # 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 in writing, software
# distributed under t... | CiscoSystems/avos | openstack_dashboard/dashboards/project/data_processing/data_plugins/tests.py | tests.py | py | 1,916 | python | en | code | 47 | github-code | 1 |
74732864354 | import tkinter as tk
from tkinter import ttk
import datetime as dt
import mysql.connector
from tkinter import messagebox
import configparser
class NuovoLottoCucina(tk.Toplevel):
def __init__(self):
super(NuovoLottoCucina, self).__init__()
self.title("Nuovo Lotto Cucina")
self.geometry("+0+... | AleLuzzi/GestioneLaboratorio | Laboratorio/nuovo_lotto_cucina.py | nuovo_lotto_cucina.py | py | 12,794 | python | it | code | 1 | github-code | 1 |
25858534397 | import numpy as np
from scrrpy import Cusp
def test_g(tol=1e-3):
j = np.logspace(-2, 0, 1000)[:-1]
# gamma = 2
cusp = Cusp(gamma=2)
g = cusp._g(j)
g2 = j / (1 + j)
assert abs(1 - g / g2).max() < tol
# gamma = 1
cusp = Cusp(gamma=1)
g = cusp._g(j)
g2 = j
assert abs(1 - g ... | benbaror/scrrpy | tests/test_cusp.py | test_cusp.py | py | 1,144 | python | en | code | 0 | github-code | 1 |
34916818954 |
class node:
def __init__(self, name, x = None, y = None):
self.name = name
self.edges = []
self.x = x
self.y = y
def connect(self, node):
key = (self.name, node.name)
self.edges.append(key)
class edge:
def __init__(self, left, right, weight = 1):
se... | HenokMekuanint/KNAPSACK_AND_TSP | graph.py | graph.py | py | 5,793 | python | en | code | 1 | github-code | 1 |
70723099874 | import os
import shutil
def organizer():
# os.chdir("/Users/Jay/Desktop/Dogs/DogsBreedClassifier/")
original_dataset_dir = 'static'
base_dir = 'train/data'
os.mkdir(base_dir)
train_dir = os.path.join(base_dir, 'train')
validation_dir = os.path.join(base_dir, 'validation')
test_dir = os... | jay-babu/dogs-breed-classifier | app/dogs_file_organizer.py | dogs_file_organizer.py | py | 7,166 | python | en | code | 0 | github-code | 1 |
2328687448 | '''
Given a linked list, determine if it has a cycle in it.
Follow up:
Can you solve it without using extra space?
Approach: Space - O(1) and Time: O(n)
Check inline comments.
Link: https://leetcode.com/problems/linked-list-cycle/
'''
# Definition for singly-linked list.
# class ListNode(object):
# def __init__... | yagamiram/Leetcode_problems_in_python | linked_list_cycle.py | linked_list_cycle.py | py | 1,965 | python | en | code | 0 | github-code | 1 |
8650838427 | import nltk
import numpy as np
import pandas as pd
df = pd.DataFrame(columns=['Original_Name','Fixed_Name','UniqueID','SourceID',
'Type','Text','SentimentScore','EffectScore','SourceType','Text','Stemmed_Text',
'Lowercased','WithoutStopwords', 'WordNgrams','trigram... | OmarMeriwani/Fake-Financial-News-Detection | Sentiments/preproc.py | preproc.py | py | 936 | python | en | code | 4 | github-code | 1 |
5498440877 | from struct import unpack
import json
import hid
from math import cos, atan
USB_VID = 0x04d8
USB_PID = 0xef7e
def hid_multiread(dev):
data = dev.read(128, timeout_ms=10)
res = data
while len(data) > 0:
data = dev.read(128, timeout_ms=10)
res.extend(data)
return res
def hid_query(d... | murez/looking_glass_py | get_cal.py | get_cal.py | py | 2,837 | python | en | code | 2 | github-code | 1 |
24877168673 | """Submit proposal content."""
import os
from typing import Optional
import httpx
from starlette.datastructures import UploadFile
from saltapi.auth.token import create_token
from saltapi.repository.user_repository import User
import logging
logger = logging.getLogger(__name__)
proposal_submission_url = f"{os.enviro... | saltastroops/salt-api-old | saltapi/submission/submit.py | submit.py | py | 2,842 | python | en | code | 0 | github-code | 1 |
20126426839 | # P : A수도, 1리터당 요금
# Q : B수도, 기본 요금
# R : B수도, 기본 요금 한계(<=R)
# S : B수도, 1리터 당 초과 요금(>R)
# W : 종민이 사용 수도 양
T = int(input())
for test_case in range(1, T+1):
p,q,r,s,w = map(int, input().split())
wTaxA = p * w
wTaxB = 0
if w <= r: wTaxB = q
else: wTaxB = q + s*(w-r)
if wTaxA < wTaxB:
prin... | hso8706/Algorithm | SWEA/D2/1284. 수도 요금 경쟁 D2 Attack/수도 요금 경쟁 D2 Attack.py | 수도 요금 경쟁 D2 Attack.py | py | 470 | python | ko | code | 0 | github-code | 1 |
8785486459 | import csv
import sys
from backend.KoalbyHumanoid.Kinematics.TrajectoryPlanning import TrajPlanner
from backend.KoalbyHumanoid.Robot import SimRobot, RealRobot
from backend.Primitives.MovementManager import play_motion_kinematics
from backend.Simulation import sim as vrep
class Walker:
def __init__(self):
... | KoalbyMQP22-23/flask-project | backend/Testing/runToTestWalk.py | runToTestWalk.py | py | 4,371 | python | en | code | 0 | github-code | 1 |
24543006030 | import h5py
import json
import numpy as np
from os.path import splitext, basename, join as pjoin
from pipeline_utils import print_and_call
from pipeline_config import MAPPING_PATH
from graphslam_config import GRAPHSLAM_EVAL_DIR, GRAPHSLAM_MAPS_DIR, MATCH_JSON_DATA
from sklearn.neighbors import NearestNeighbors
import m... | sameeptandon/sail-car-log | mapping/sandbox/graphslam/scripts/eval_maps.py | eval_maps.py | py | 4,146 | python | en | code | 2 | github-code | 1 |
74771536672 | from typing import List
from RLEnv.EnvLayer.PCBRoutingEnv import PCBRoutingEnv
from scipy.spatial.distance import cityblock
import numpy as np
class rl_env(PCBRoutingEnv):
def __init__(
self,
resolution: float,
pcb_folder: str,
pcb_names: List[str],
connect_coef: float=2... | PCBench/PCBench | Baselines/RL/rl_env.py | rl_env.py | py | 871 | python | en | code | 1 | github-code | 1 |
38105066131 | import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
def marginal_distribution(mu, sigma2, indeces):
mu_U = mu[indeces]
sigma2_U = sigma2[indeces][:,indeces].reshape(-1,len(indeces))
return mu_U, sigma2_U
def conditional_distribution(X, mu, sigma2, indeces):
mu_U, sigma2_U = marginal_d... | hongxin-y/EECS545-Homeworks | HW4/prob5.py | prob5.py | py | 2,419 | python | en | code | 2 | github-code | 1 |
72143448995 | import datetime
from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from dateutil.parser import isoparse
from ..types import UNSET, Unset
T = TypeVar("T", bound="PatchedPipelineInvocation")
@attr.s(auto_attribs=True)
class PatchedPipelineInvocation:
"""Dynamically removes fields from serialize... | caltechads/brigid-api-client | brigid_api_client/models/patched_pipeline_invocation.py | patched_pipeline_invocation.py | py | 2,948 | python | en | code | 0 | github-code | 1 |
4474715554 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 2 13:44:25 2021
@author: Scott T. Small
This module demonstrates documentation as specified by the `NumPy
Documentation HOWTO`_. Docstrings may extend over multiple lines. Sections
are created with a section header followed by an underline of equal... | stsmall/abc_scripts2 | project/stat_modules/popstats.py | popstats.py | py | 6,127 | python | en | code | 3 | github-code | 1 |
74415935072 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sponsorships', '0003_sponsorship_event'),
]
operations = [
migrations.CreateModel(
name='SponsorshipLevel',
... | dco5/tendenci-sponsorships | sponsorships/migrations/0004_auto_20180110_2357.py | 0004_auto_20180110_2357.py | py | 1,169 | python | en | code | 1 | github-code | 1 |
36043447445 | import threading
from queue import Queue
def jop1():
global lock
a=0
lock.acquire()
for i in range(10):
a+=i
print('a=',a)
lock.release()
def jop2():
b=0
lock.acquire()
for i in range(100):
b+=i
print('b=',b)
lock.release()
if __name__ == '__main__':
... | ByronGe/Python-base-Learning | PythonLearning/LearningThread/TestThread4.py | TestThread4.py | py | 470 | python | en | code | 0 | github-code | 1 |
1211038178 | import socket
import threading
import struct
ip_addr = "0.0.0.0"
tcp_port = 7777
def process_client_stats(client_socket,address):
print(f'Accepted connection from {address[0]}:{address[1]}')
logFile = open(f"{address[0]}_{address[1]}.txt", 'w')
try:
while True:
request =... | joaojomoura/UA | 3_ano/RC1/Projeto-RC1/Sockets/server.py | server.py | py | 1,073 | python | en | code | 0 | github-code | 1 |
73767637792 | from __future__ import print_function
import logging
import sys
from argh import *
from vcloudtools.api import VCloudAPIClient
log = logging.getLogger(__name__)
parser = ArghParser()
@arg('path', help='Path to fetch', default='/')
def browse(args):
"""
Browse the vCloud API using the built-in hypermedia lin... | alphagov/vcloudtools | vcloudtools/command/browse.py | browse.py | py | 648 | python | en | code | 4 | github-code | 1 |
30693236327 | import json
with open ("city.json") as file:
data = json.load(file)
list_data = []
for i in data:
#print (i['name'])
list_data.append({"id":i['id'], "text":i["name"]})
data = {"results":list_data}
with open("city_name.json", "w") as f:
json.dump(list_data, f)
| pbrlionocde/mini_weather_portal | app/static/json/j.py | j.py | py | 271 | python | en | code | 0 | github-code | 1 |
39497017221 | #DFS를 이용한 bipartite matching
#Kuhn's Algorithm
def bpm(s):
#방문 체크한 s번에서 또 연결을 체크한다면...
if visited[s] == 1:
return False
#최초로 s번에서 연결을 시도한다면.. 방문체크를 해주고
visited[s] = 1
#s와 연결된 모든 v에 대하여...
for v in graph[s]:
#v가 매칭되어 있지 않거나
#v가 매칭되어 있다면, 해당... | yundaehyuck/Python_Algorithm_Note | theory_source_code/bipartite/bipartite_matching(+random_opt).py | bipartite_matching(+random_opt).py | py | 2,003 | python | ko | code | 0 | github-code | 1 |
18276850000 | from datetime import datetime
import schedule
from telebot import types
from rf_bank_api import get_banks_currency
from keyboards import kb_banks, kb_currencies, kb_configure
from database_work import add_banks, add_currencies, get_currencies, get_banks, form_gist
from data import banks, currencies, rus_to_en_banks, ... | SuDarina/currency_bot | controller.py | controller.py | py | 6,195 | python | ru | code | 0 | github-code | 1 |
75045505952 | import time
import os, json
import wiotp.sdk.application
client = None
def commandCallback(event):
if event.eventId == "doorStatus":
# Received event 'doorStatus'
payload = json.loads(event.payload)
# Get the status and time
status = payload['status']
time = payload['time'... | iSagnik/Intro-to-IOT | hw4/laptop/laptop.py | laptop.py | py | 975 | python | en | code | 0 | github-code | 1 |
22129992552 | import discord, asyncio, requests, datetime
# -- INIT --
POST_TIME_H = 6
POST_TIME_M = 0
POST_TIME_S = 0
BOT_EMAIL = ''
BOT_PASS = ''
KEY = ''
CHAN_ID = ''
# Connect to client
client = discord.Client()
def apiGet(url):
response = requests.get(url)
return response.json()
def randomWord():
url = "ht... | resloved/word-of-the-day-discord | wotd.py | wotd.py | py | 2,554 | python | en | code | 0 | github-code | 1 |
37969632625 | info_student = [
"João", "Wagner", "Andre", "Victor", "Odilon", "Maycon", "Marlon", "Alan", "Patrick", "Guilherme Reis", "Brecailo", "Eduarda", "Eduardo", "Erick", "Fabricio", "Giselle", "Gui Felicio", "Júlio", "Kauany", "Kazulle", "Lucas", "Rafael", "Rhuan", "Sasah"
]
user_logat = input("Digite Seu Usuario: ")
us... | Vavatrewq/FAP_SI | works/python-practice/files/fapStudent.py | fapStudent.py | py | 500 | python | is | code | 1 | github-code | 1 |
71704829473 | from __future__ import print_function
import sys
import re
import argparse
p = argparse.ArgumentParser( description="Read ascii index "
"and output a list of registers and descriptions." )
p.add_argument("-i",required=True, help="input file",dest='inxfile')
p.add_argument("-o", help="output file name", dest='outf'... | ashima/embedded-STM32F-lib | readDocs/scripts/regsOfindex.py | regsOfindex.py | py | 1,939 | python | en | code | 13 | github-code | 1 |
8647085877 | # -*- encoding:utf-8 -*-
import numpy as np
from basic.specturm import _spectrogram
from basic.pitch import estimate_tuning
import util.utils as utils
import filters
def chroma_stft(y=None, sr=22050, S=None, norm=np.inf, n_fft=2048,
hop_length=512, tuning=None, **kwargs):
S, n_fft = _spectrogram... | rumourcy/MIR | feature/spectral.py | spectral.py | py | 785 | python | en | code | 0 | github-code | 1 |
39690492775 | # 4.2 바이트에 대한 기본 지식
# bytes 와 bytearray
# bytes는 불변형이고, bytearray는 가변형
cafe = bytes('café',encoding='utf_8')
print(cafe)
print(cafe[0])
print(cafe[:1])
cafe_arr = bytearray(cafe)
print(cafe_arr)
print(cafe_arr[:-1])
import array
numbers = array.array('h',[-2,-1,0,1,2]) #h명령어는 short int 형의 배열을 생성한다.
print(numbers)
oc... | wiesunggue/python_study | ch04_textbyte/chapter04_02.py | chapter04_02.py | py | 1,085 | python | ko | code | 0 | github-code | 1 |
13356202645 | # 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 recoverTree(self, root: Optional[TreeNode]) -> None:
"""
Do not return anything, modify ... | Biruk-Tassew/Competitive_programming | 99_Recover_Binary_Search_Tree/99_Recover_Binary_Search_Tree.py | 99_Recover_Binary_Search_Tree.py | py | 966 | python | en | code | 0 | github-code | 1 |
39184132558 | from django.db import models
from django.core.validators import MinValueValidator, MaxValueValidator
from users.models import User
class BaseModel(models.Model):
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Meta:
abstract = True
cl... | MrBerserk/semestrovka | web/models.py | models.py | py | 3,801 | python | en | code | 0 | github-code | 1 |
6386175748 | from statistics import median_low as mdl, median_high as mdh, median as md
from copy import deepcopy as dc
num = int(input())
floors = list(map(int, input().split()))
newfloor = dc(floors)
newfloor.sort()
if len(floors)%2==0:
medl = mdl(newfloor)
medh = mdh(newfloor)
midmed = md(newfloor)
ind = min([fl... | oneku16/CompetitiveProgramming | ICPC/ICPC2021/warmup/k.py | k.py | py | 544 | python | en | code | 0 | github-code | 1 |
9391357764 | import os
def readname():
# filePath = './div2k'
# filePath = './pristine_images'
# filePath = './BSD432_color'
filePath = './flower_2000'
name = os.listdir(filePath)
return name, filePath
if __name__ == "__main__":
name, filePath = readname()
print(name)
txt = ope... | FightingSrain/ColorfulRL | read_file.py | read_file.py | py | 456 | python | en | code | 5 | github-code | 1 |
34636894694 | from enum import Enum
class Level(Enum):
SMALL = 0
MEDIUM = 1
LARGE = 2
class Fuzz():
def __init__(self):
pass
class Fuzzifier():
@staticmethod
def to_level(s, m, l):
return Level([s, m, l].index(max([s, m, l])))
@staticmethod
def fl(input_):
f = Fuzzifier(... | ysam12345/ci_hw1 | src/fuzz.py | fuzz.py | py | 2,344 | python | en | code | 0 | github-code | 1 |
8946929415 | # -*- coding: utf-8 -*-
import numpy as np
from scipy.stats import linregress
def _area_of_triangles(this_bin, pre_point, next_point):
"""Area of a triangle from duples of vertex coordinates
Uses implicit numpy boradcasting along first axis of this_bin"""
bin_pre = this_bin - pre_point
pre_bin = pre_p... | FarisYang/LTTB-LTD-py | down_sample/ltd.py | ltd.py | py | 5,287 | python | en | code | 3 | github-code | 1 |
31336183986 | import sys
import bilby
import pandas as pd
from bilby.core.prior import PriorDict, Uniform
from gwpopulation.hyperpe import HyperparameterLikelihood
from gwpopulation.models.spin import agn_spin
from agn_utils.data_formetter import dl_to_ld
from agn_utils.pe_postprocessing.jsons_to_numpy import load_posteriors_and_t... | avivajpeyi/agn_phenomenological_model | agn_utils/pop_inf/spin_orientation_pop_inf.py | spin_orientation_pop_inf.py | py | 2,925 | python | en | code | 0 | github-code | 1 |
9943778853 | import argparse
import torchvision.transforms as transforms
import torchvision
import torch
import torch.nn as nn
import torch.optim as optim
from torchvision import datasets
from cutout import Cutout
from models.resnet import *
from models.resnet import Bottleneck
from utils import CrossEntropy
device = torch.device... | leejeongho3214/KD | train.py | train.py | py | 6,804 | python | en | code | 0 | github-code | 1 |
20059168851 | """
Gridsearch implementation
"""
from hops import hdfs, tensorboard, devices
from hops.experiment_impl.util import experiment_utils
from hops.experiment import Direction
import threading
import six
import time
import os
def _run(sc, train_fn, run_id, args_dict, direction=Direction.MAX, local_logdir=False, name="no... | logicalclocks/hops-util-py | hops/experiment_impl/parallel/grid_search.py | grid_search.py | py | 4,463 | python | en | code | 26 | github-code | 1 |
42557553956 | from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
class Line(BaseModel):
matter: str
teacher: str
coef: float
ects: float
cc1: float
cc2: float
exam: float
app = FastAPI()
@app.get("/grades")
def grades():
with open("exportFIles/note.txt", "r", encoding="utf... | Alex061998/ScrapperPython | api.py | api.py | py | 2,717 | python | en | code | 0 | github-code | 1 |
75201405152 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Created on 2017/12/1
__author__ = "Sky Jin "
"""
Description:
练习 1 ： 去掉页面动态窗： 这里举一个新世界教育官网首页的例子
由于alert弹窗不美观，现在大多数网站都会使用自定义弹窗，
使用Selenium自带的方法就驾驭不了了，此时就要搬出JS大法
driver.execute_script(js_monitor
"""
from selenium import webdriver... | skyaiolos/SeleniumWithPython | demomore/training_JS_find/training1_dis_alertdlg.py | training1_dis_alertdlg.py | py | 977 | python | zh | code | 1 | github-code | 1 |
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