seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | 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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39956836499 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 19 14:11:57 2022
@author: Saskia Hustinx
"""
import re
import gpt_2_simple as gpt2
import tensorflow as tf
import json
import tweepy
import random
import time
### NLP SECTION ###
def words_in_string(word_list, a_string):
return set(word_list).intersection(a_string.s... | sHustinx/nlp-fortune-cookie-bot | respond-dms.py | respond-dms.py | py | 2,664 | python | en | code | 0 | github-code | 6 |
21098037404 | # -*- coding: utf-8 -*-
from flask import Blueprint, g, request, redirect, url_for, current_app
import os
from invenio.ext.template.context_processor import \
register_template_context_processor, template_args
from invenio.base.decorators import templated
from invenio.modules.formatter import format_record
from... | cjhak/b2share | invenio/b2share/modules/main/views.py | views.py | py | 2,867 | python | en | code | null | github-code | 6 |
39735748017 | class BankAccount:
# Class attributes
number = 1
all_accounts = []
# Constructor
def __init__(self, int_rate=0.05, balance=0, acc_id=number):
self.int_rate = int_rate
self.balance = balance
self.id = acc_id
BankAccount.all_accounts.append(self)
BankAccount.nu... | r-lutrick/Coding-Dojo | Python/Fundamentals/OOP/Users_with_Bank_Accounts/users_with_bank_accounts.py | users_with_bank_accounts.py | py | 3,006 | python | en | code | 1 | github-code | 6 |
33626981361 | from flask import Flask, request
import requests
import tkinter as tk
from tkinter import simpledialog
import pdfrw
import json
from flask_cors import CORS
import io
import base64
app = Flask(__name__)
CORS(app)
@app.route("/")
def hello_world():
ROOT = tk.Tk()
ROOT.withdraw()
# the input dialog
# USE... | MHSiles/yoloco-be | other/main-2.py | main-2.py | py | 4,824 | python | en | code | 0 | github-code | 6 |
16907993758 | import numpy as np
from .sigmoid import sigmoid
def predict(Theta1, Theta2, X):
'''้่ๅฑ'''
m = X.shape[0]
num_labels = Theta2.shape[0]
a1 = np.vstack((np.ones(m), X.T)).T
a2 = sigmoid(np.dot(a1, Theta1.T))
a2 = np.vstack((np.ones(m), a2.T)).T
a3 = sigmoid(np.dot(a2, Theta2.T))
return ... | 2332256766/python_test | MachineL_The_4_week_practise/predict.py | predict.py | py | 348 | python | en | code | 0 | github-code | 6 |
73268001788 | # Uncomment the next two lines to enable the admin:
from django.conf.urls import patterns, include, url
from productes import views
urlpatterns = patterns('',
url(r'^$', views.llistarProductes, name='llistarProductes'),
url(r'^llistarCategories/$', views.llistarCategories, name='llistarCategories'),
url(r'... | kimpa2007/restoGestio | tpv/productes/urls.py | urls.py | py | 938 | python | en | code | 0 | github-code | 6 |
2088985509 | #!/usr/bin/env python
"""@namespace IMP.pmi.tools
Miscellaneous utilities.
"""
from __future__ import print_function, division
import IMP
import IMP.algebra
import IMP.isd
import IMP.pmi
import IMP.pmi.topology
try:
from collections.abc import MutableSet # needs Python 3.3 or later
except ImportError:
fro... | salilab/pmi | pyext/src/tools.py | tools.py | py | 60,875 | python | en | code | 12 | github-code | 6 |
43970042116 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
AUTHOR
Pedro Cerqueira
github: @pedrorvc
DESCRIPTION
This script serves to create xml files contaning the information necessary
for the execution of BRIG (Blast Ring Image Generator), reducing the time
performing the tedious task of setting u... | TAMU-CPT/galaxy-tools | tools/genome_viz/brigaid.py | brigaid.py | py | 36,126 | python | en | code | 5 | github-code | 6 |
28895134213 | apuntador = None
class Nodo(object):
def __init__(self, data):
self.data = data
self.next = None
def push(self):
global apuntador
apuntador.next = self
apuntador = self
print("Se ha ingresado: "+self.data)
opcion = 0
raiz = Nodo("raiz")
apuntador ... | RamirezNOD/EstructurasNOD | Practica17-ListasPush.py | Practica17-ListasPush.py | py | 896 | python | es | code | 0 | github-code | 6 |
5592159173 | from .http import *
from .abc import User, Channel
from .channels import DMChannel
import asyncio as aio
class Client:
"""
Base class for interacting with discord
"""
def __init__(self, token: str):
self.http = HTTPClient(token)
self.event_loop = aio.new_event_loop()
aio.set_... | ledanne/descapede | diswrap/client.py | client.py | py | 2,060 | python | en | code | 1 | github-code | 6 |
27627859074 | #!/usr/bin/python3
def add_tuple(tuple_a=(), tuple_b=()):
# use slice to get the first two element
a = tuple_a[:2]
b = tuple_b[:2]
# fill the missing element with 0
while len(a) < 2:
a += (0,)
while len(b) < 2:
b += (0,)
# get the sum of the tuple
sum_tuple = (a[0] + b[0... | Hovixen/alx-higher_level_programming | 0x03-python-data_structures/7-add_tuple.py | 7-add_tuple.py | py | 357 | python | en | code | 0 | github-code | 6 |
39400883437 | import boto3
import pickle
from typing import Any, Tuple
import logging
from re import sub
import pandas as pd
import numpy as np
from sklearn.metrics import average_precision_score
from sklearn.model_selection import StratifiedShuffleSplit
import xgboost as xgb
# ----- Class for uploading and downloading Python ob... | YangWu1227/python-for-machine-learning | tree_based/projects/telco_churn_sagemaker/src/custom_utils.py | custom_utils.py | py | 4,461 | python | en | code | 0 | github-code | 6 |
33627877063 | #Exercice 2 Mascaro Matteo
import math
limit = 100
limit = str(limit)
print('Welcome palindromiques numbers put any multipliation with 2 numbers in each side :')
print("Rentrez la multiplication ex : (91 * 99) ")
A = input("Rentrez la valeur A = ")
B = input("Rentrez la valeur B = ")
"""
print(A)
J'arrive pas ร faire... | m4skro/programmation-securisee | TP1/Palindromiques.py | Palindromiques.py | py | 542 | python | fr | code | null | github-code | 6 |
70126940349 | def build_profile(first_name: str, last_name: str, **user_info: str) -> dict:
"""Build a dictionary containing everything we know about a user"""
user_info["first_name"] = first_name
user_info["last_name"] = last_name
return user_info
user_profile = build_profile(
"albert", "einstein", location="p... | paulr909/python-snippets | python-various/functions/build_dict_with_function.py | build_dict_with_function.py | py | 369 | python | en | code | 0 | github-code | 6 |
28427006920 | list1 = [1, 3, 5, 7, 100]
# ้่ฟๅพช็ฏ็จไธๆ ้ๅๅ่กจๅ
็ด
for a in range(len(list1)): # range() ๆนๆณ
print(a, list1[a], " ", end='')
print()
# ้่ฟforๅพช็ฏ้ๅๅ่กจๅ
็ด
for elem in list1:
print(elem, " ", end="")
print()
# ้่ฟenumerateๅฝๆฐๅค็ๅ่กจไนๅๅ้ๅๅฏไปฅๅๆถ่ทๅพๅ
็ด ็ดขๅผๅๅผ
for index, elem in enumerate(list1): # enumerate๏ผ๏ผๅๆถๅๅบๆฐๆฎๅๆฐๆฎไธๆ ๏ผ
print(index, el... | sunhuimoon/Python100Days | day07/day0704.py | day0704.py | py | 776 | python | zh | code | 0 | github-code | 6 |
21929473251 | import re
from sys import argv
#Steven A
#THE "CORRECT" REGEX:
#([^,]*),"(.*)",([^,]*),\[(.*)\],\[(.*)\],"(.*)",\[(.*)\],\[(.*)\],\[(.*)\],"(.*)"
#id ,"name",release_year,[developers],[publishers],"image",[src],[genres],[consoles],"description"
#this program merges entries based of GID
#please do not use this to ove... | schoolfromage/RetroSounding | backend/scrapers/csv_limited_merger.py | csv_limited_merger.py | py | 2,464 | python | en | code | 1 | github-code | 6 |
32108920209 | import json
from typing import List
import mlflow
import pandas
from pandas import DataFrame
class SpambugInference(mlflow.pyfunc.PythonModel):
"""
Inference code copied from MLFlow bugs.py
"""
def __init__(self, extraction_pipeline, clf, le):
self.extraction_pipeline = extraction_pipeline
... | mozilla/mlops-platform-spike-library | bugbug/mlflow/bugbug/trackers/spambug_inference.py | spambug_inference.py | py | 1,839 | python | en | code | 0 | github-code | 6 |
35383876896 | import json
from random import randint
import discord
from discord.ext import tasks, commands
def getData():
with open("data.json", "r") as levelsFile:
return json.loads(levelsFile.read())
def setData(_dict):
with open("data.json", "w") as levelsFile:
levelsFile.write(json.dumps(_dict))
l... | JONKKKK/Codes | 2MS2A/dnd.py | dnd.py | py | 7,250 | python | en | code | 0 | github-code | 6 |
69952730427 | #!/usr/bin/env python3
import rospy
from sebot_service.srv import GetImage, SetGoal
class Sebot:
def __init__(self):
rospy.init_node('sebot_server')
self.image_msg = None
self.img_srv = rospy.Service("get_image", GetImage, self.get_image)
while not rospy.is_shutdown():
... | JiHwonChoi/TEAM_B | sebot_service/src/sebot_server.py | sebot_server.py | py | 465 | python | en | code | 3 | github-code | 6 |
28156207354 | import torch
from projects.thre3ingan.singans.networks import Thre3dGenerator
from torch.backends import cudnn
cudnn.benchmark = True
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def test_thre3d_generator() -> None:
batch_size = 1
random_input = torch.randn(batch_size, 128, 64, 64,... | akanimax/3inGAN | projects/thre3ingan/singans/tests/test_networks.py | test_networks.py | py | 491 | python | en | code | 3 | github-code | 6 |
27259802510 | """We are the captains of our ships, and we stay 'till the end. We see our stories through.
"""
"""513. Find Bottom Left Tree Value [Two Passes]
"""
from collections import deque
class TreeNode:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class Solution:
... | asperaa/back_to_grind | Trees/bottom_left_tree.py | bottom_left_tree.py | py | 890 | python | en | code | 1 | github-code | 6 |
7983714433 | import random
random.seed(2023)
# Dividir los datos de test en oraciones en espaรฑol e inglรฉs
data_es = []
data_en = []
with open('Bicleaner AI/Full/Paracrawl.AIFull.shortPhrases.threshold05_shuffled.txt', 'r', encoding='utf-8') as file:
for line in file:
columns = line.strip().split('\t')
... | jairosg/TFM | scripts/genTest.py | genTest.py | py | 1,515 | python | en | code | 0 | github-code | 6 |
1008711212 | '''Problem 22: Names scores'''
import time
t1 = time.time()
#first get "alphabetical value" of each letter
ALPHA = 'abcdefghijklmnopqrstuvwxyz'.upper()
ALPHA = {c:i+1 for i,c in enumerate(ALPHA)}
def alphaValue(name):
'''adds up alpha values for letters'''
sum1= 0
for letter in name:
... | hackingmath/Project-Euler | euler22.py | euler22.py | py | 913 | python | en | code | 0 | github-code | 6 |
6153769301 | from django.shortcuts import render
from . models import Department, Employee, User, Phone, Book, Store
from django.http import HttpResponse
# Create your views here.
def index(request):
# without relationship:
user = User.objects.get(pk=1)
phone = Phone.objects.get(user_id=user)
#... | oruchkin/biteofpithon | django relationships/relation/core/views.py | views.py | py | 3,072 | python | en | code | 0 | github-code | 6 |
31127201950 | # to run, execute this command in the command line:
# python create_plots.py pagecounts-20160802-150000.txt pagecounts-20160803-150000.txt
import sys
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
filename1 = sys.argv[1]
filename2 = sys.argv[2]
data1 = pd.read_table(filename1, sep=' ',... | tomliangg/Plotting_Wikipedia_Page_Views | create_plots.py | create_plots.py | py | 1,324 | python | en | code | 0 | github-code | 6 |
28114724866 | import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']
# ๆฐๆฎ
sizes = ["0.5x0.5", "2x2", "5x5", "7x7"]
postgres = [2, 10, 94, 153]
accumulo = [8, 15, 22, 41]
# ็ปๅพ
plt.plot(sizes, postgres, label="PostgreSQL")
plt.plot(sizes, accumulo, label="Accumulo")
plt.xlabel("Extent(kmยฒ)")
plt.ylabe... | KiktMa/gdal_tiff | shange/paintsd.py | paintsd.py | py | 386 | python | en | code | 0 | github-code | 6 |
3981685761 | from django.test import TestCase
from django import forms
from parameterized import parameterized
from MDM.forms import ItemGroupForm
from MDM.bootstrap import INPUT
class ItemGroupFormTest(TestCase):
@parameterized.expand([
('description', 'Descriรงรฃo do Grupo de Item'),
])
def test_form_labels(... | tiagomend/flow_erp | MDM/tests/test_item_group_form.py | test_item_group_form.py | py | 1,264 | python | en | code | 0 | github-code | 6 |
27742958751 | """
POO
* Elaborar un Programa el cual calcule el costo de produccion, nesecitaras conocer:
- Costo de la materia prima.
- Costo de la mano de obra.
- Cantidad de unidades producidas.
* Mostrar el:
- Costo de produccion total.
- Precio de produccion por unidad.
- El precio del producto al mercado(El doble del ... | proyecto3erpacial/proyecto3erpacial | eje4.py | eje4.py | py | 1,340 | python | es | code | 0 | github-code | 6 |
70111562109 | import requests
def run():
api_key = 'f258ca5a16d84339a5f6cdb4c7700756'
query_map = {}
url = 'http://api.weatherbit.io/v2.0/current'
query_map['lat'] = 39.757
query_map['lon'] = -75.742
query_map['key'] = api_key
query_map['lang'] = 'en'
response = requests.get(url,params=query_map).js... | cthacker-udel/Raspberry-Pi-Scripts | py/getcurrweather.py | getcurrweather.py | py | 441 | python | en | code | 7 | github-code | 6 |
38386704949 | import connections
import time
import ubinascii
import struct
import math
def byte_to_info(uuid):
gas_res_d = 0
name = uuid[0:3]
name_text = ''.join(chr(t) for t in name)
if name_text == "PyN":
sensor_id = uuid[7]
mac = ubinascii.hexlify(uuid[10:16])
press = ubinasc... | MatiasRaya/IoT-PS | Proyecto/EXPOTRONICA/PYTRACK/airq.py | airq.py | py | 1,275 | python | en | code | 1 | github-code | 6 |
38997636297 | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
from getpass import getpass
from utility_classes import (
check_version,
get_coin_selection,
get_user_choice,
get_user_number,
UATOM,
UKUJI,
ULUNA,
UOSMO,
UserConfig,
UUSD,
Wallets,
Wallet,
WETH,
)
from utility_constan... | geoffmunn/utility-scripts | swap.py | swap.py | py | 12,915 | python | en | code | 1 | github-code | 6 |
18964566006 | #coding: utf-8
#Crispiniano
#Unidade 6: Quanto Tempo
def quanto_tempo(horario1,horario2):
h1 = int(horario1[0] + horario1[1])
m1 = int(horario1[3] + horario1[4])
minutos_totais_1 = h1 * 60 + m1
h2 = int(horario2[0] + horario2[1])
m2 = int(horario2[3] + horario2[4])
minutos_totais_2 = h2 * 60 + m2
diferenca ... | almirgon/LabP1 | Unidade-6/tempo.py | tempo.py | py | 532 | python | pt | code | 0 | github-code | 6 |
42433734628 | import pytest
import random
from torchrl.envs import make_gym_env, TransitionMonitor
@pytest.mark.parametrize('spec_id', [
'Acrobot-v1',
'CartPole-v1',
'MountainCar-v0',
'MountainCarContinuous-v0',
'Pendulum-v0',
])
def test_transition_monitor(spec_id: str):
env = TransitionMonitor(make_gym_env... | activatedgeek/torchrl | torchrl/envs/test_wrappers.py | test_wrappers.py | py | 968 | python | en | code | 110 | github-code | 6 |
811926906 | '''Find Leaves of Binary Tree - https://leetcode.com/problems/find-leaves-of-binary-tree/
Given the root of a binary tree, collect a tree's nodes as if you were doing this:
Collect all the leaf nodes.
Remove all the leaf nodes.
Repeat until the tree is empty.
Example 1:
Input: root = [1,2,3,4,5]
Output: [[4,5,3],[2... | Saima-Chaity/Leetcode | Tree/Find Leaves of Binary Tree.py | Find Leaves of Binary Tree.py | py | 1,265 | python | en | code | 0 | github-code | 6 |
70384349309 | import numpy as np
import scipy
import cv2
import matplotlib.pyplot as plt
from matplotlib.colors import LightSource
def rotate_and_crop(arr, ang):
"""Array arr to be rotated by ang degrees and cropped afterwards"""
arr_rot = scipy.ndimage.rotate(arr, ang, reshape=True, order=0)
shift_up = np.ceil(np.arcs... | openearth/vcl | vcl/data.py | data.py | py | 6,478 | python | en | code | 2 | github-code | 6 |
29476131174 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""Fine tune CTC network (CSJ corpus, for dialog)."""
import os
import sys
import time
import tensorflow as tf
from setproctitle import setproctitle
import yaml
import shutil
import tensorflow.contrib.slim as slim
sys.path.append('../')
sys.path.append('../../')
sys.pat... | hirofumi0810/tensorflow_end2end_speech_recognition | examples/csj/fine_tuning/finetune_ctc_dialog.py | finetune_ctc_dialog.py | py | 20,860 | python | en | code | 312 | github-code | 6 |
34294677016 | from django.contrib import admin
from django.urls import path
from final import views
urlpatterns = [
path("", views.index, name="root"),
path("about/", views.about, name="about"),
path("signup/", views.signup, name="signup"),
path("login/", views.loginUser, name="login"),
path("contact/", views.co... | supratim531/useless-django-app | final/urls.py | urls.py | py | 455 | python | en | code | 0 | github-code | 6 |
18467755288 | import random
import pandas as pd
#This is where the wagon class will be.
class Wagon():
#One weird variable here may be wagonStructure. This variable is a boolean variable which will if set to
#true means the wagon can move. If it is set to false the wagon cannot move.
def __init__(self, ration, health, w... | ravenusmc/trail | wagon.py | wagon.py | py | 4,906 | python | en | code | 0 | github-code | 6 |
8516167540 | import numpy as np
import matplotlib.pyplot as plt
import h5py
path_Lf3D = "/mn/stornext/d19/RoCS/alma/emissa_sim/linfor3D/outhdf/"
f = {"500nm" : h5py.File(path_Lf3D + "d3t57g44c_v000G_n019_it000_05000_mu1_00_linfor_3D_2.hdf", "r"),
"1mm" : h5py.File(path_Lf3D + "d3t57g44c_v000G_n019_it000_01mm_mu1_00_linfor_... | jonasrth/MSc-plots | mean_CF.py | mean_CF.py | py | 1,183 | python | en | code | 0 | github-code | 6 |
17559223931 | import unittest
from sudoku import Sudoku
class TestUtilities(unittest.TestCase):
def setUp(self):
"""
Init a completed sudoku for testing
"""
self.grid = [[1, 3, 9, 5, 7, 6, 8, 4, 2],
[2, 5, 8, 4, 9, 3, 1, 6, 7],
[7, 4, 6, 2, 8, 1, 9, 5,... | ArttuLe/ot-harjoitustyo | src/tests/utilities_test.py | utilities_test.py | py | 2,040 | python | en | code | 0 | github-code | 6 |
38137944576 | import dash
from dash import html, dcc
from dash.dependencies import Input, Output
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import pandas as pd
# Load data
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
# Create subplots
fig = make... | TIIIIIIW/SOFTWARE-DEVELOPMENT-2 | ML/Data/TestDash.py | TestDash.py | py | 2,975 | python | en | code | 1 | github-code | 6 |
6951725407 | import turtle
import time
import random
delay = 0.1
#Score
score =0
highScore=0
#Setting up the screen
window = turtle.Screen()
window.title("Snake Game by Lexiang Pan and Ryan Shen")
window.bgcolor("green")
window.setup(width=600, height = 600)
window.tracer(0)
#Head of the snake:
head = turtle.Turtle()
head.speed... | RyanSh3n/ICS3U1 | CPT/SnakeGame.py | SnakeGame.py | py | 3,567 | python | en | code | 0 | github-code | 6 |
43133597312 | # This script is developed by Team 11 CIS 3760
# Parser - to parse the plain text file into json file
import sys
import re
import json
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import course_util
uOCourseCodeIsolatedPat = re.compile(r'^\w{3}[ ]?\d{4}$')
uOCourseCodePat = re.compile(r'... | jessendasilva1/UniveristySearch | graphing/util/parser/ottawaCourseParser.py | ottawaCourseParser.py | py | 11,463 | python | en | code | 0 | github-code | 6 |
22168670744 | from odoo import models, api
from odoo.addons.l10n_ar.models.account_fiscal_position import AccountFiscalPosition
@api.model
def _get_fiscal_position(self, partner, delivery=None):
company = self.env.company
if company.country_id.code == "AR":
self = self.with_context(
company_code='AR',
... | ingadhoc/odoo-argentina | l10n_ar_ux/models/account_fiscal_position.py | account_fiscal_position.py | py | 2,196 | python | en | code | 89 | github-code | 6 |
36011166018 | # encoding: utf8
# Import local files:
import rois as ROIS
import gui_functions as GUIF
import structure_set_functions as SSF
from tkinter import messagebox
# Clinical Goal class
class ClinicalGoal(object):
def __init__(self, name, criteria, type, tolerance, value, priority):
self.name = name
self.criter... | dicom/raystation-scripts | rt_classes/clinical_goal.py | clinical_goal.py | py | 4,341 | python | en | code | 40 | github-code | 6 |
25911867612 | from Solution import Solution
class P004(Solution):
def is_palindromic(self, number):
number_as_string = str(number)
reverse = number_as_string[::-1]
if reverse == number_as_string:
return True
else:
return False
def solve(self):
self.problem_num... | TalaatHarb/project-euler-100 | python-project-euler-100/p004.py | p004.py | py | 783 | python | en | code | 2 | github-code | 6 |
2768054561 | # add is O(1) because it appends which doesnt take any time.
# Remove is O(1) because if stack_1 is empty, returns empty queue
# It appends popped values from stack_1 to stack_2 and returns popped value of stack_2
class QueueStack:
def __init__(self):
self.stack_1 = []
self.stack_2 = []
def a... | CarlBorillo/CECS-274 | CECS 274 PROJ 1/CECS 274 PROJ 1/1_5_queue.py | 1_5_queue.py | py | 1,148 | python | en | code | 0 | github-code | 6 |
34398796086 | from typing import List
import docx
from .IngestorInterface import IngestorInterface
from .QuoteModel import QuoteModel
class DocxIngestor(IngestorInterface):
allowed_extensions = ['docx']
@classmethod
def parse(cls, path: str) -> List[QuoteModel]:
if not cls.can_ingest(path):
raise ... | KosziDrimi/Meme-Generator-project | QuoteEngine/DocxIngestor.py | DocxIngestor.py | py | 800 | python | en | code | 0 | github-code | 6 |
12138793296 | from dataclasses import fields
from pyexpat import model
import django
from django import forms
from django.db.models import fields
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
from django.forms import ModelForm
from .models import *
class CustomUserCreationForm(UserCreationForm):
clas... | baadhira/shopify-ecommerce | adminapp/forms.py | forms.py | py | 4,635 | python | en | code | 0 | github-code | 6 |
27615702847 | """
Get 10 titles of the most popular movies/series etc. by each genre.
ะะพะปััะธัะต 10 ะฝะฐะธะผะตะฝะพะฒะฐะฝะธะน ัะฐะผัั
ะฟะพะฟัะปััะฝัั
ัะธะปัะผะพะฒ/ัะตัะธะฐะปะพะฒ ะธ ั. ะด. ะฒ ะบะฐะถะดะพะผ ะถะฐะฝัะต.
title.basics.tsv.gz title.ratings.tsv.gz
"""
from pyspark import SparkConf
from pyspark.sql import SparkSession
import pyspark.sql.types as t
import pyspark.sql.func... | Tetyana83/spark | task8.py | task8.py | py | 2,591 | python | en | code | 0 | github-code | 6 |
42242066819 | from random import Random
from torch.utils.data import DataLoader
from torchvision import transforms, datasets
class Partition:
def __init__(self, data, index):
self.data = data
self.index = index
def __len__(self):
return len(self.index)
def __getitem__(self, idx):
data_... | DragonChen-TW/torch_DDP | data_partition.py | data_partition.py | py | 1,832 | python | en | code | 1 | github-code | 6 |
36551632681 | import matplotlib.pyplot as plt
from DataHandler import DataHandler
from LinearClassifier import LinearClassifier
if __name__ == '__main__':
#generating a normal distributed data (1000 samples per class)
data_handler = DataHandler()
class0Dataset = data_handler.get2DGaussian(1000, [-2, -2])
cla... | Mustapha-Belkacim/Linear-classifier | main.py | main.py | py | 1,623 | python | en | code | 0 | github-code | 6 |
40113246551 | import os
import sys
import ruamel.yaml as yaml
import llnl.util.tty as tty
import llnl.util.lang
import spack.repo
import spack.cmd.common.arguments as arguments
from spack.cmd import display_specs
from spack.filesystem_view import filter_exclude
from spack.build_systems.python import PythonPackage
import spack.ut... | tomdele/spack | lib/spack/spack/cmd/export.py | export.py | py | 5,533 | python | en | code | null | github-code | 6 |
9378129688 | import operator
import pandas as pd
def segmentation(dataset: pd.DataFrame, rfm: list, d: int):
"""
Sort RFM Segmentation function
:param dataset: given dataset
:param rfm: a list of three column name R, F, M
:param d: number of delimiters to divide data based on each factor
:return: dataset w... | smh997/Audiobook-Customer-Segmentation-and-Purchase-Prediction | Customer Segmentation/RFM/sort_segmentation.py | sort_segmentation.py | py | 1,371 | python | en | code | 1 | github-code | 6 |
72650143867 | cod1,num1,valor1 = input().split()
cod1,num1,valor1 = int(cod1),int(num1),float(valor1)
cod2,num2,valor2 = input().split()
cod2,num2,valor2 = int(cod2),int(num2),float(valor2)
peca1 = num1*valor1
peca2 = num2*valor2
total = peca1 + peca2
print(f'VALOR A PAGAR: R$ {total:.2f}') | hpalermoemerick/Exercicios-do-Beecrowd | 1010_Calculo_Simples.py | 1010_Calculo_Simples.py | py | 279 | python | pt | code | 0 | github-code | 6 |
26536074156 | def regresiva(n):
while n > 0:
yield n
n -= 1
for x in regresiva(10):
print(x, end=" ")
list(regresiva(10))
#%%
def filematch(filename, substr):
with open(filename, 'r') as f:
for line in f:
if substr in line:
yield line
for line in open('Data/cam... | francosbenitez/unsam | 10-generadores-e-iteradores/tests.py | tests.py | py | 442 | python | en | code | 0 | github-code | 6 |
75137098747 | from django.contrib.auth.backends import ModelBackend
from django.contrib.auth.models import Permission
from .models import Organization, OrganizationUser
class OrganizationBackend(ModelBackend):
supports_object_permissions = True
def authenticate(self, organization=None, username=None, password=None):
... | avidal/django-organizations | organizations/backends.py | backends.py | py | 6,718 | python | en | code | 1 | github-code | 6 |
12091024325 | from typing import List, Iterator
import torch
from torch.utils.data.sampler import Sampler
from nltk import Tree
from nltk.tokenize.treebank import TreebankWordTokenizer
class TokenizedLengthSampler(Sampler[List[int]]):
"""
PyTorch DataLoader - compatible sampler class that batchify sentences with the most ... | jinulee-v/bert_diora | bert_diora/utils.py | utils.py | py | 1,470 | python | en | code | 0 | github-code | 6 |
21929427517 | # Trial project - Number guessing
import time
import random
random_number = random.randint(1,100)
player_point = 0
attempt_counter = 0
print("Welcome to number guessing challenge. You will get 10 chance to guess the correct number!\n")
while attempt_counter <=10:
print(f"Currect time : {time.asctime()}")
use... | MahbinAhmed/Learning | Python/Python Practice/number_guessing.py | number_guessing.py | py | 941 | python | en | code | 0 | github-code | 6 |
41211802240 | #import cv2
from keras.applications.vgg16 import VGG16
from keras.preprocessing import image
from keras.applications.vgg16 import preprocess_input, decode_predictions
import numpy as np
import os
import sys
import json
from PIL import Image
# import Image
import requests
from io import BytesIO
import urllib3
import h5p... | ming19956/PFE | information-retrival-search-engine/informationRetrival/vgg16_p/newvgg.py | newvgg.py | py | 9,112 | python | en | code | 2 | github-code | 6 |
71839302589 | import unittest, os
from pre_requirements import BASE_FOLDER
from budget_system import PurchaseList
from budget_system.settings.Config import ConfigBudget
from pandas.core.frame import DataFrame
from numpy import float64
class PurchaseListTest(unittest.TestCase):
def setUp(self) -> None:
os.... | carlosmperilla/budget-system | tests/test_purchaselist.py | test_purchaselist.py | py | 1,997 | python | en | code | 2 | github-code | 6 |
22218524626 | ''' Convienence methods on VTK routines only '''
import director.vtkAll as vtk
import director.vtkNumpy as vnp
from director.shallowCopy import shallowCopy
import numpy as np
def thresholdPoints(polyData, arrayName, thresholdRange):
assert(polyData.GetPointData().GetArray(arrayName))
f = vtk.vtkThresholdPoin... | RobotLocomotion/director | src/python/director/filterUtils.py | filterUtils.py | py | 4,630 | python | en | code | 176 | github-code | 6 |
22781339759 | import IMP
import IMP.pmi
import IMP.pmi.macros
import RMF
import matplotlib.pyplot as plt
import seaborn as sns
import sys
import numpy as np
import argparse
#########
# PARSER
#########
p = argparse.ArgumentParser(
description="Align selected RMF files. \n"
"Example of usage: alig... | Altairch95/ExocystDYN | scripts/align_rmf.py | align_rmf.py | py | 5,528 | python | en | code | 0 | github-code | 6 |
12028632350 | import tkinter
from tkinter import messagebox
from src.game.minesweeper import Minesweeper
from src.game.minesweeper import CellStatus
from src.game.minesweeper import GameStatus
from datetime import datetime
import platform
class MineweeperUI:
def __init__(self, root):
self.ui_window = root
self.ui_window.t... | PriscillaRoy/MinesweeperGame | src/gui/minesweeper_ui.py | minesweeper_ui.py | py | 3,636 | python | en | code | 0 | github-code | 6 |
13530263096 | n, m = map(int, input().split())
S = []
strings = []
for _ in range(n):
S.append(input())
for _ in range(m):
strings.append(input())
answer = 0
for i in strings:
if i in S:
answer += 1
print(answer) | zooonsp/Baekjoon_zooonsp | ๋ฐฑ์ค/Silver/14425.โ
๋ฌธ์์ดโ
์งํฉ/๋ฌธ์์ดโ
์งํฉ.py | ๋ฌธ์์ดโ
์งํฉ.py | py | 243 | python | en | code | 0 | github-code | 6 |
25390435322 | import logging
import requests
import pandas as pd
import time
from .sqlite import Orders
from .sqlite import Balances
class BitMex():
def pull_bitmex_orderbooks(symbol, limit, mode='live'):
# Tracking execution time
start_ts = time.time() * 1000
# Get request
request = requests.get('https://www.b... | noqcks/bmex-algo | src/bitmex.py | bitmex.py | py | 8,025 | python | en | code | 0 | github-code | 6 |
30821160760 |
import pandas
data = pandas.read_csv("Squirrel_Data.csv")
#the begining and the end of the first and last lines
#gray_squirrels = data[data["Primary Fur Color"] == "Gray"]
#print(gray_squirrels)
gray_squirrels_count = len(data[data["Primary Fur Color"] == "Gray"])
red_squirrels_count = len(data[data["Primary Fur Color... | d3cod3d/notes | pandas_cheat_sheet.py | pandas_cheat_sheet.py | py | 1,312 | python | en | code | 0 | github-code | 6 |
22837983090 | import pandas as pd
import networkx as nx
# def splitDataFrameList(df,target_column,separator):
# ''' df = dataframe to split,
# target_column = the column containing the values to split
# separator = the symbol used to perform the split
# returns: a dataframe with each entry for the target column separated, with... | brooksjaredc/podcast_network_analysis | analyzing_functions/set_node_attr.py | set_node_attr.py | py | 2,988 | python | en | code | 1 | github-code | 6 |
23142628393 | # Neuon AI - PlantCLEF 2020
import tensorflow as tf
from preprocessing import inception_preprocessing
slim = tf.contrib.slim
import numpy as np
import cv2
from nets.inception_v4 import inception_v4
from nets import inception_utils
from PIL import Image
from six.moves import cPickle
import pandas as pd
from sklearn.met... | NeuonAI/plantclef2020_challenge | validate_image.py | validate_image.py | py | 9,376 | python | en | code | 1 | github-code | 6 |
32509221733 | import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as sc
import csv
def myAnova(Matrice, pvalue_crit):
# Initialisation :
H = 0
F = 0
var_intra = 0
var_inter = 0
obs_moy = 0
eff_tot = 0
# Moyenne des classes :
for i in range(len(Matrice)):
obs_moy = sum(Ma... | Varelafv/TD6.py | TD2-EXO2.py | TD2-EXO2.py | py | 5,319 | python | fr | code | 0 | github-code | 6 |
7874070036 | import random
r,p,s = "Rock", "Paper","Scissor"
words = ("Rock", "Paper","Scissor")
cpu = random.choice(words)
me = input("Rock, Paper or Scissor: \n\n")
print(f"{cpu} \n")
if me == cpu:
print("Game Draw!!")
elif me == "Rock":
if cpu == "Scissor":
print("You Won!!")
elif cpu == "Paper":
pri... | Sheham30/Python | RockPaperScissor/01.py | 01.py | py | 586 | python | en | code | 0 | github-code | 6 |
35226848142 | import torch
import torch.nn.functional
from .calculate_ssim import ssim
from .utils import fspecial_gauss
def ms_ssim(image1: torch.Tensor, image2: torch.Tensor, filter_weight: torch.Tensor) -> float:
""" Multi scale structural similarity
Args:
image1 (np.array): Original tensor picture.
im... | avacaondata/SpainAI_Hackaton_ComputerVision | ESRGAN-PyTorch/esrgan_pytorch/utils/image_quality_assessment/calculate_mssim.py | calculate_mssim.py | py | 1,882 | python | en | code | 1 | github-code | 6 |
2018426878 | import unittest
import sys
import os
import tempfile
import shutil
from appliapps.flow.branch import Branch
from appliapps.flow.collate import Collate
from appliapps.flow.merge import Merge
from appliapps.flow.split import Split
class Test(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.tdi... | lcb/applicake | tests/test_flow.py | test_flow.py | py | 1,454 | python | en | code | 1 | github-code | 6 |
74077927228 | from PyQt5.QtCore import QFile, QTextStream, QIODevice
class StyleLoader:
def __init__(self, variables_path: str = None):
self._variables = {}
self._stylesheets = {}
self._init_variables(variables_path)
def get_merged_stylesheets(self, names: list):
return self._merge_stylesh... | lennertsoffers/KeyCursor | key_cursor_config/model/StyleLoader.py | StyleLoader.py | py | 1,926 | python | en | code | 1 | github-code | 6 |
19459348473 | import os
import csv
def find_duration(indexlist, index, f):
index = index + 1
if 'LOG:' in f[index].split():
indexlist.append(index)
else:
find_duration(indexlist, index, f)
location = '/Users/karinstaring/thesis/script/finally/Karin_Staring_Geomatics_Thesis/results/queries/quer... | kjstaring/scripts | results/queries/log_file_analysis.py | log_file_analysis.py | py | 1,810 | python | en | code | 0 | github-code | 6 |
2248378771 | import random
Kaarten = ("2","3","4","5","6","7","8","9","10","boer","vrouw","heer","aas")
Kleur = ("harten ","klaveren ","schoppen ","ruiten ")
Deck = []
teller = 0
for x in Kleur[0:4]:
for i in Kaarten[0:13]:
Deck.append (x + i)
Deck.append ("Joker1")
Deck.append ("Joker2")
for y in range(7):
RandomKa... | MaxQutimu/leren-programmeren | Leren Programmeren/M-04-Lijstjes en Samenstellingen/Deck.py | Deck.py | py | 420 | python | en | code | 0 | github-code | 6 |
32463868402 | import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch
import torchvision
import torchvision.transforms as transforms
class DataLoader:
def __init__(self, batch_size = 4):
'''
num_workers should be 0... | jindeok/XAI_torch_captum | XAI_torch/utils.py | utils.py | py | 2,051 | python | en | code | 0 | github-code | 6 |
32562155548 | from django.conf.urls.defaults import *
from django.conf import settings
from gallery.feeds import Photos, Videos, Tags, TagContents, Comments
try:
import django_openidconsumer
except ImportError:
django_openidconsumer = None
feeds = {
'comments': Comments,
'photos': Photos,
'videos': Videos,
... | ginking/Gallery-1 | urls.py | urls.py | py | 2,422 | python | en | code | 0 | github-code | 6 |
8915382368 | from datetime import datetime
from astral import Astral
from pyHS100 import Discover, SmartPlug, SmartBulb
import time, socket, requests, pytz, simplejson
#Used to determine daylight status, occupancy status, and does the things
#if the things are needed based on prior info
class SmartSwitchControl():
a = Astr... | bradyjibanez/Voyager | occupantInference/smartSwitchControl.py | smartSwitchControl.py | py | 2,417 | python | en | code | 0 | github-code | 6 |
24604094520 | # Packages
import time
import selenium
from selenium import webdriver
import NameExtractor
app_names = []
element_web = []
k = 0
count = 1
def decompiler(path, file_path):
global app_names, driver
driver = webdriver.Chrome(path)
driver.maximize_window()
app_names = NameExtractor.n... | Neilnarnaware/Privacy-Detection-of-Android-Application | Decompiler.py | Decompiler.py | py | 2,296 | python | en | code | 0 | github-code | 6 |
16106180145 | #!/usr/bin/env python3
if __name__ == "__main__":
import argparse
import os
import benj
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", dest="h5ad", required=True)
ap.add_argument("-o", "--output", required=True)
ap.add_argument("--labels", requir... | KellisLab/benj | scripts/integrate_and_train.py | integrate_and_train.py | py | 1,676 | python | en | code | 2 | github-code | 6 |
11735575748 | """Add File table
Revision ID: 3822d04489a0
Revises:
Create Date: 2021-06-26 16:18:52.167545
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3822d04489a0'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gen... | retroherna/rhinventory | alembic/versions/3822d04489a0_add_file_table.py | 3822d04489a0_add_file_table.py | py | 1,531 | python | en | code | 1 | github-code | 6 |
33696612007 | from __future__ import print_function
from seq import *
from parentSeq import *
from ore_algebra import *
import time
def test1():
R,n = ZZ['n'].objgen()
A,Sn = OreAlgebra(R, 'Sn').objgen()
a1 = Sn**2 - Sn - 1
init1 = [0,1]
range_ = 1000
sum_ = 0
for _ in range (range_):
begin ... | Kiskuit/SuitesPRecursives | src/test.py | test.py | py | 1,087 | python | en | code | 0 | github-code | 6 |
26822225482 | import hashlib
import base64
import os
import sys
from Crypto.Cipher import AES
from hashlib import md5
from PyQt4 import QtGui, QtCore
import collections
from eclib import EC
from eclib import DiffieHellman
class MainWindow(QtGui.QWidget):
def __init__(self):
QtGui.QWidget.__init__(self)
global ... | iCHAIT/Elliptical-Curve-Cryptography | gui.py | gui.py | py | 6,704 | python | en | code | 24 | github-code | 6 |
21158960410 | #!/usr/bin/env python
# Remove bootstrap solutions from a list of mss
from __future__ import print_function
import sys
import pyrap.tables as pt
def remove_columns(mslist_name,colnames=['SCALED_DATA']):
if mslist_name.endswith('.ms'):
mslist=[mslist_name]
else:
mslist=[s.strip() for s in open... | mhardcastle/ddf-pipeline | utils/remove_bootstrap.py | remove_bootstrap.py | py | 955 | python | en | code | 22 | github-code | 6 |
5145788640 | import enum
from ocrdgen.font.font import FontManager
from ocrdgen.image.background import BgManager
from pathlib import Path
import numpy as np
from PIL import ImageDraw, Image
from ocrdgen.ops import boxes_ops
import cv2 as cv
from collections import OrderedDict
from .base import BaseDrawer
from ocrdgen import model... | nunenuh/ocrdgen | ocrdgen/drawer/word.py | word.py | py | 3,432 | python | en | code | 0 | github-code | 6 |
13842222350 | import cv2
import numpy as np
import math
from numpy import random as nr
import sys
def lines(code=None, step=12):
l = np.zeros((h, w, 3), np.uint8)
l[:] = 255
if code == 0: # - horizontal
for i in range(0, h, step):
l = cv2.line(l, (0, i), (w, i), black)
elif code == 1: # | hor... | ZZ76/filters | crosshatching.py | crosshatching.py | py | 3,968 | python | en | code | 4 | github-code | 6 |
25145519000 | from dataclasses import dataclass
from typing import Any
from msg.serializers import BaseExpenseCreationSerializer, BaseExpensePropertySerializer
@dataclass
class ExpenseCreationHelper:
data: dict
def __call__(self, *args: Any, **kwds: Any) -> Any:
if not self._parse_data():
return
... | enamsaraev/tg_api | msg/helpers.py | helpers.py | py | 1,000 | python | en | code | 0 | github-code | 6 |
38081298604 | import asyncio
import threading
from sqlalchemy.orm import Query
from ConsumerService.consumer.persistence import db
from ConsumerService.consumer.business import manage_event_data
from aio_pika import connect, ExchangeType
from flask import Flask, request, jsonify, Response
app = Flask(__name__)
@app.route('/getPa... | oran1980/clewMedical | application-assignment/ConsumerService/consumer/main.py | main.py | py | 3,890 | python | en | code | 1 | github-code | 6 |
26113020545 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "03/04/2017"
# TODO
# keep aspect ratio managed here?
# smarter dirty flag handling?
import datetime as dt
import math
import weakref
import logging
import numbers
from typing import Optional, Union
from collections import namedtuple
import numpy
from ...... | silx-kit/silx | src/silx/gui/plot/backends/glutils/GLPlotFrame.py | GLPlotFrame.py | py | 42,835 | python | en | code | 106 | github-code | 6 |
5589205557 | import re
import plac
import ujson as json
from utils import load_jsonl_file, dumps_jsonl
regex_ws = re.compile(r'\s+')
def load_corpus(path):
documents = json.load(open(path, 'r'))
return documents
def hydrate(parses, relation):
doc = parses.get(relation['DocID'])
text = doc.get('text', '') if d... | rknaebel/bbc-discourse | hydrate.py | hydrate.py | py | 1,089 | python | en | code | 1 | github-code | 6 |
1059675909 | """
This module defines the interface for the Server.
.. autoclass:: Server
:members:
:undoc-members:
:show-inheritance:
"""
import atexit
import base64
import logging
import os
import threading
from functools import partial, wraps
import pluginbase
import tornado.httpserver
import tornado.web
from flask im... | OPSORO/OS | src/opsoro/server/__init__.py | __init__.py | py | 7,251 | python | en | code | 9 | github-code | 6 |
73831952826 | from odoo import api, models, fields, _
from odoo.exceptions import UserError
import logging
_logger = logging.getLogger(__name__)
class LgpsPartner(models.Model):
_inherit = 'res.partner'
client_type = fields.Selection(
[
('new', _('New')),
('aftersales', _('After Sales')),
... | intralix/odoo-addons | lgps/models/custom_partner.py | custom_partner.py | py | 2,580 | python | en | code | 0 | github-code | 6 |
2721867306 | """
api.py
~~~~~~
This file define simple REST APi for a Machine Learning Model
"""
from os import environ as env
from joblib import load
from flask import abort, Flask, jsonify, make_response, request
from pandas import DataFrame
service_name = env['SERVICE_NAME']
version = env['API_VERSION']
model = load('data/m... | repodevs/flask-machine-learning-service | api.py | api.py | py | 846 | python | en | code | 0 | github-code | 6 |
10806067701 | from itertools import count
from random import choice
chance = ['h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 'h', 't']
works = 0
for i in range(100000):
outcomes = []
for x in range(10):
outcomes.append(choice(chance))
if outcomes.count('h') >= 3:
works += 1
print(works) | Theeran-SK/Miscellaneous | bmc.py | bmc.py | py | 297 | python | en | code | 0 | github-code | 6 |
32500164614 | """
ืืชืื ืชืืื ืืช ืืืงืืืช 10 ืืกืคืจืื ืืืืฉืชืืฉ ืืืืคืืกื ืืช ืืืืื ืืืืชืจ.
"""
def age_in_month(user_age):
while True:
age = user_age * 12
print(f"your AGE in month is {age}")
break
while True:
try:
age_in_month(int(input("Hello user,Please enter your AGE\n")))
except Va... | eehud738/python- | Section 2/HW2.py | HW2.py | py | 500 | python | he | code | 0 | github-code | 6 |
1419172936 | """scene.py module"""
# Michael Gresham
# CPSC 386-01
# 2021-11-29
# greshammichael@csu.fullerton.edu
# @Michael-Gresham
#
# Lab 03-00
#
# My scene class
# Holds all the scenes that are present in snek game.
import pygame
from pygame.constants import SCRAP_SELECTION
from random import randint
import os
import pickle
fr... | Michael-Gresham/Portfolio | cpsc-386-04-snake-Michael-Gresham-main/scene.py | scene.py | py | 19,048 | python | en | code | 0 | github-code | 6 |
35023516423 | import cv2
import time
from base_camera import BaseCamera
from Process import Process
global sess
class Camera(BaseCamera):
video_source = 0
process = Process()
@staticmethod
def set_video_source(source):
Camera.video_source = source
# @staticmethod
def frames(self):
camera =... | Micbetter/ISense-flow | camera_opencv.py | camera_opencv.py | py | 3,981 | python | en | code | 0 | github-code | 6 |
41728763711 | import os
import datetime
import time
# requires import of opencv through pip
# pip install opencv-python
import cv2
# requires import of PIL pillow through pip
# python -m pip install pillow
from PIL import Image, ImageTk
import sys
import tkinter
def my_VidFunction(vid_name):
cap = cv2.VideoCapture(vid_name)
#c... | icommonscrc/Looney-Toon | OpenVideoAtTimeV8.py | OpenVideoAtTimeV8.py | py | 2,716 | python | en | code | 0 | github-code | 6 |
23225332326 | import copy
import six
from lxml import etree
from ems.exceptions import SchemaException
from ems.exceptions import ValidationException
from ems.exceptions import XMLException
from ems.schema import fields
def parse_meta(name, bases, dct):
"""
Parse the _META_ attribute from a schema definition.
"""
... | ceramyq/python-ems | ems/schema/base.py | base.py | py | 7,670 | python | en | code | 0 | github-code | 6 |
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