seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
20246347128 | #A
'''import sys
import math
N,M,a,K=map(int, sys.stdin.readline().split())
print(min(N-1,a-K)+1, math.ceil((a-K)/M)+1)'''
#B
'''import sys
N=int(sys.stdin.readline())
a=[]
answer=0
for _ in range(N):
aa,bb=map(int, sys.stdin.readline().split())
a.append(aa)
answer+=bb
a.sort()
for i in range(1,N+1):
... | jhan-04/Test | baekjoon/Untitled-1.py | Untitled-1.py | py | 886 | python | en | code | 0 | github-code | 1 |
20741454900 | import json
import re
import logging
from __init__ import app
def extract_dispatch_content(text):
pattern = r'R9\.redux\.dispatch\((\{.+?\})\)'
matches = re.findall(pattern, text, flags=re.DOTALL)
return matches
def add_quotes(json_str):
# Agregar comillas a las claves de primer nivel
regex_keys =... | danielurrutxua/easyflight | scrapi/app/search/service/sources/utils/kayak_parser.py | kayak_parser.py | py | 1,665 | python | es | code | 1 | github-code | 1 |
34623651816 | # -*- coding: utf-8 -*-
# +
import argparse
import datetime
import random
import time
import pandas as pd
from pathlib import Path
import torch
import torchvision.transforms as standard_transforms
import numpy as np
from PIL import Image
import cv2
from crowd_datasets import build_dataset
from engine import *
from mo... | kookmin-sw/capstone-2023-26 | headcount/CrowdCounting_P2PNet/run_test_stream.py | run_test_stream.py | py | 4,511 | python | en | code | 7 | github-code | 1 |
29640416232 | import datatable as dt
import pytest
import random
import re
from datatable import stype, f
from datatable.internal import frame_integrity_check
from tests import noop, random_string, assert_equals
def test_issue_1912():
# Check that the expression `A==None` works if A is a string column
DT = dt.Frame(A=["dfv... | h2oai/datatable | tests/munging/test-str.py | test-str.py | py | 6,248 | python | en | code | 1,763 | github-code | 1 |
11196328840 | import numpy as np
from scipy import interpolate
class SkeletonASCIIPhraser(object):
def __init__(self, export_path):
self.__export_path = export_path
def save(self, beams):
file = open(self.__export_path, 'w')
self.__plot_analytical_skeleton_beams(file, beams)
file... | Foxelmanian/ParametrizationSkeleton | SkeletonASCIIPhraser.py | SkeletonASCIIPhraser.py | py | 11,419 | python | en | code | 0 | github-code | 1 |
26904524656 | h, w = map(int, input().split())
n_guards = 0
lst = []
for k in range(h):
lst.append(list(input()))
ww = 0
for i in range(h):
checka = True
checkb = True
for j in range(w):
if lst[i][j] == 'X':
checka = False
if lst[j][i] == 'X':
checkb = False
if (checka and... | habaekk/Algorithm | boj/xx_1236.py | xx_1236.py | py | 699 | python | en | code | 0 | github-code | 1 |
16616864622 | from simpleimage import SimpleImage
"""
This program highlights fires in an image by identifying pixels
whose red intensity is more than INTENSITY_THRESHOLD times the
average of the red, green, and blue values at a pixel. Those
"sufficiently red" pixels are then highlighted in the image
and other pixels are tur... | gxgarciat/Playground-CiP-py | 1_Assigments/3_Q2_ForestFlames.py | 3_Q2_ForestFlames.py | py | 3,579 | python | en | code | 0 | github-code | 1 |
2715638565 | import os,glob
from Bio import SeqIO
import statistics
import numpy as np
from Bio.Seq import Seq
import re
vcf_folder = '/scratch/users/anniz44/genomes/donor_species/vcf_round2/merge/details/'
output_folder = '/scratch/users/anniz44/genomes/donor_species/vcf_round2/BS/'
target_TF = '%s/target.TF.faa'%(output_folder)
... | caozhichongchong/snp_finder | snp_finder/scripts/compareBS_coassembly.py | compareBS_coassembly.py | py | 28,977 | python | en | code | 2 | github-code | 1 |
32184257693 | import sys
import asyncio
from aioconsole import ainput
async def input_loop(loop):
while True:
input_ = await ainput(loop=loop)
if input_ == "@end":
sys.exit(0)
print(f"Echo: {input_}")
if __name__ == "__main__":
loop = asyncio.get_event_loop()
loop.run_until_complete(... | metamarcdw/async-interface | test.py | test.py | py | 338 | python | en | code | 0 | github-code | 1 |
44344599062 | import unittest
from libs.model import MonthClosings
class MyTestCase(unittest.TestCase):
def test_closing_performance(self):
#given:
closings = MonthClosings()
closings.closings = [100, 100, 105]
#when:
performance = closings.calculate_performance()
#then:
... | dhering/stock-scoring | tests/model/test_MonthClosings.py | test_MonthClosings.py | py | 503 | python | en | code | 4 | github-code | 1 |
24893300426 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from lxml import etree
from WaiBaoSpider.utils.csvWriter import CSVDumper
from WaiBaoSpider.utils.base import unicode_body, deal_ntr
import os
class LuAnSpider(scrapy.Spider):
name = "luan"
# base_url = "http://www.luan.gov.cn/nocache/supervisio... | jamesfyp/WaiBaoSpider | WaiBaoSpider/spiders/liuan.py | liuan.py | py | 7,327 | python | en | code | 1 | github-code | 1 |
29341535711 | import cv2
import numpy as np
img = cv2.imread('/home/kanish/Documents/ICR advanced forms/Advanced handwritting samples/athul_scanned/525/525_2.png', 0)
kernel = np.ones((5, 1), np.uint8)
erosion = cv2.erode(img, kernel, iterations=1)
cv2.imwrite('morphex.png', erosion)
cv2.imshow('gray', erosion)
cv2.waitKey(0)
| kanishmathew777/image_processing | backend/image_processing_backend/scipy_width_path_finder/image_preprocessing/denosing.py | denosing.py | py | 318 | python | en | code | 0 | github-code | 1 |
32601137836 | #!/usr/bin/python3
from typing import List
import json
from bplib.butil import TreeNode, arr2TreeNode, btreeconnect
class Solution:
def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]:
st = {}
for n in nums1:
if n not in st:
st[n] = 0
st[n]... | negibokken/sandbox | leetcode/350_intersection_of_two_arrays_II/main.py | main.py | py | 588 | python | en | code | 0 | github-code | 1 |
29455061606 | import pygame
import field_and_pointer as fp
import argparser as ap
# Stack, field, pointer and the 2-input operators
stackstack = [[]]
the_field = fp.Field(fp.load_code())
pointer = fp.Pointer((0, 0), (1, 0))
operators = {
"+": lambda x1, x2: stackstack[-1].append(x1 + x2),
"-": lambda x1, x2: stackstack[-1].... | johanasplund/befunge-98 | lib/initialize.py | initialize.py | py | 2,188 | python | en | code | 1 | github-code | 1 |
8202759653 | import requests
from bs4 import BeautifulSoup as soup
def requesting_ip():
HEADERS = {
'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#'Accept-Encoding':'gzip, deflate, br',
'Accept-Language':'en-US,en;q=0.5',
'Connection':'keep-alive',
'Upgrad... | DemolitionLovers/PythonCode | Requests-DDG.py | Requests-DDG.py | py | 1,134 | python | en | code | 0 | github-code | 1 |
8595088170 | import hashlib
import zlib
from PyQt5 import QtCore, QtGui, QtWidgets
from file_browse import *
data=[
{'Check':'','More':'','Details':'','@timestamp':'2023/03/12 12:00:00','Rule':'Enumeration of users or Groups','Severity':'low','Risk Score':'21','Reason':'process event with process dsmemberutil, parent proce... | marioara-biblioteca/IOC | file_scan.py | file_scan.py | py | 5,566 | python | en | code | 0 | github-code | 1 |
28418620847 | import nibabel as nib
import matplotlib.pyplot as plt
#import cv2
import os
# https://www.kaggle.com/kmader/show-3d-nifti-images
import numpy as np
import tqdm as tqdm
data_path = '../dataset/wonjun_processing/imagesTr'
label_path = '../dataset/wonjun_processing/labelsTr'
data_file_list = sorted(os.listdir(data_path))... | WonJunPark/unetr_custom_code | data_preprocessing2.py | data_preprocessing2.py | py | 1,292 | python | en | code | 2 | github-code | 1 |
26021338569 | from django.conf.urls.defaults import *
from django.conf import settings
from django.contrib import admin
from seishinkan.website.feeds import NewsFeed, TerminFeed
admin.autodiscover()
feeds = {
'termine': TerminFeed,
'news': NewsFeed,
}
urlpatterns = patterns('',
(r'^i18n/', include('django.conf.urls.i18n')... | marcusti/seishinkan | urls.py | urls.py | py | 2,423 | python | en | code | 0 | github-code | 1 |
7807302748 | # importing Numpy package
import numpy as np
# To declare symbol variables x and y
from sympy import symbols
# You can't use numpy arrays for symbolical calculations with sympy. Instead, use a sympy Matrix
# (https://stackoverflow.com/questions/68589864/matrix-determinant-symbolic-in-python)
import sympy as sp... | Sergio-Ibarra-1795/Python-self-1 | Primer_semestre/Mate/Determinant.py | Determinant.py | py | 1,173 | python | en | code | 0 | github-code | 1 |
191560534 | import numpy
from chainer import cuda
from chainer import optimizer
class RMSpropGraves(optimizer.Optimizer):
"""Alex Graves's RMSprop.
See http://arxiv.org/abs/1308.0850
"""
def __init__(self, lr=1e-4, alpha=0.95, momentum=0.9, eps=1e-4):
# Default parameter values are the ones in the ori... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITLAB_REPOS/jamieoglindsey0@chainer/chainer/optimizers/rmsprop_graves.py | rmsprop_graves.py | py | 1,771 | python | en | code | 2 | github-code | 1 |
38901553531 | import os
import traceback
from prefect import flow
from conf.config import DATA_DIR, DATASET_EXCEL_LINKS
from src.utils import write_local_to_parquet
from src.flows.pipeline_components import ingest_data_from_list_files, load_csv_dataset, save_dataset_to_csv, upload_to_gcs_bucket, write_data_google_bq
@flow(name="en... | lironesamoun/data-engineering-capstone-project | src/flows/parameterized_flow_http_pipeline.py | parameterized_flow_http_pipeline.py | py | 2,406 | python | en | code | 0 | github-code | 1 |
74356016992 | # importint the necessary lirbraries
# import tensorflow.keras as kerasfrom __future__ import print_function
from __future__ import print_function
import keras
from keras.layers import Convolution2D
from keras.layers import Flatten
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers impo... | Tobenna-KA/mimeai-api | api/src/capsule_net.py | capsule_net.py | py | 15,008 | python | en | code | 0 | github-code | 1 |
35601265161 | from extract_words import extract_words
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('WebKit', '3.0')
from gi.repository import Gtk, Gdk, WebKit
class MainWindow(Gtk.Window):
def __init__(self):
Gtk.Window.__init__(self, title='My Window Title')
self.AUTHEN_CODE = None # authent... | qzhqzh/EnglishReadingCompanion | src-python/GUI.py | GUI.py | py | 10,726 | python | en | code | 0 | github-code | 1 |
1490074469 | import re
data = input()
pattern = r"^>{2}(?P<product>\w+)<<(?P<price>\d+(\.\d+)?)\!(?P<quantity>\d+)($|\s)"
product = []
total_price = 0
while not data == "Purchase":
match = re.match(pattern, data)
if match:
obj = match.groupdict()
product.append(obj["product"])
total_price += floa... | DavidStoilkovski/python-fundamentals | regular-expressions-fundamentals/furniture.py | furniture.py | py | 488 | python | en | code | 0 | github-code | 1 |
20962583832 | from pyspark.sql import SparkSession
from pyspark.sql import S
Logger.getLogger("org").setLevel(Level.ERROR)
sparkConf = newSparkConf()
sparkConf.set("spark.app.name", "My Application 1")
sparkConf.set("spark.master", "local[2]")
spark = SparkSession.builder()\
.config(sparkConf)\
.getOrCreate()
DDLString =... | Nishant-001/BigData_PySpark | week11assignment.py | week11assignment.py | py | 750 | python | en | code | 0 | github-code | 1 |
22377846455 | from django import http
from django.http.response import Http404, HttpResponseForbidden
from rest_framework import viewsets, mixins, status
from rest_framework.response import Response
from rest_framework.decorators import action, api_view, permission_classes
from django.shortcuts import get_object_or_404
from .model... | insper-education/devlife-support-api | core/views.py | views.py | py | 8,481 | python | en | code | 0 | github-code | 1 |
36287026868 | import tkinter
import time
from AlgorithmSimulator.config import general_setting
from AlgorithmSimulator.model import sort
class View():
def __init__(self, master):
'UI関連のオブジェクト生成'
# 各種設定
self.drawn_obj = []
# キャンバスのサイズを決定
self.canvas_width = general_setting.CANVAS_WIDTH
... | cayk326/AlgorithmSimulator | view/main_view.py | main_view.py | py | 7,337 | python | ja | code | 0 | github-code | 1 |
34523979340 | # Line requirements:
# Apply Google CLI Syntax for required and optional args
# https://developers.google.com/style/code-syntax
import os
import re
current_dir = os.path.dirname(os.path.realpath(__file__))
# os.chdir(current_dir)
IGNORE_VARIABLES = ["flags"] # [flags]
def _replace_array(line: str):
'''
Con... | notional-labs/chain-chores | Conversion.py | Conversion.py | py | 1,895 | python | en | code | 4 | github-code | 1 |
23051368660 | #Faça um programa para a leitura de duas notas parciais de um aluno. O programa deve calcular a média alcançada por aluno e apresentar:
#A mensagem "Aprovado", se a média alcançada for maior ou igual a sete;
#A mensagem "Reprovado", se a média for menor do que sete;
#A mensagem "Aprovado com Distinção", se a média for ... | ruirodriguessjr/Python | EstruturaDecisão/ex5AprovadoReprovado.py | ex5AprovadoReprovado.py | py | 725 | python | pt | code | 0 | github-code | 1 |
32942262031 | import datetime
import json
import os
import random
import string
import sys
import time
import urllib.request
os.system("title WARP-PLUS-CLOUDFLARE By Tran Thai Tuan Anh")
os.system('cls' if os.name == 'nt' else 'clear')
print ("[+] About script: With this script, you can getting unlimited GB on Warp+")
print ("[+] T... | tranthaituananh/mini_projects | buffKey_1111.py | buffKey_1111.py | py | 2,770 | python | en | code | 1 | github-code | 1 |
20599371961 | from flask import Flask, request
app = Flask(__name__)
@app.route('/02-server')
def server01_views():
return "This is my first response by Ajax"
@app.route('/03-server')
def server03_views():
uname = request.args['uname']
return "欢迎" + uname
if __name__ == '__main__':
app.run(debug=True)
| demo112/1809 | PythonWeb/Ajax/1809/Day01/1809self/run01.py | run01.py | py | 316 | python | en | code | 0 | github-code | 1 |
24946960553 | from selenium import webdriver
from time import sleep
from selenium.webdriver import Keys
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
chrome_options = Options()
chrome_options.add_argument("--headless") # Chạy trình duyệt ẩn danh
browser = webdriver.Chrome()
bro... | Namgiangvt12/Upwork | 50.0478-multithread.py | 50.0478-multithread.py | py | 911 | python | en | code | 0 | github-code | 1 |
29430526212 | #Import Libs
import time
import click
import mouse
import keyboard
import pyautogui
def inicialize():
print('''
=========================================================================
|| Configure according to screen size: ||
|| Configurar de acordo com o tamanh... | Alissonfersoa/bombcrypto-bot | bot.py | bot.py | py | 3,666 | python | en | code | 0 | github-code | 1 |
14282958757 | import serial
import numpy as np
import matplotlib.pyplot as plt
# シリアルポートの設定（必要に応じて変更）
ser = serial.Serial('/dev/ttyACM0', 115200)
# グラフの初期化
fig, ax = plt.subplots()
x_data, y_data = [], []
line, = ax.plot(x_data, y_data, 'o', markersize=6)
# 3秒間のデータを保持するためのリングバッファ
max_data_points = 300 # 1秒あたり100データ点... | Altairu/raspberrypi | python/PCaruduino2.py | PCaruduino2.py | py | 1,149 | python | ja | code | 0 | github-code | 1 |
21642185259 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pickle
# In[2]:
train=pd.read_csv('sales_train.csv')
items=pd.read_csv('items.csv')
shops=pd.read_csv('shops.csv')
cats=pd.read_csv('item_categories.csv')
# In[3]:... | rishabhagarwal8979/Predicting-Future-Sales-Web-API | model.py | model.py | py | 7,422 | python | en | code | 0 | github-code | 1 |
40420378554 | from pathlib import Path
import numpy as np
from collections import Counter
from itertools import product
DIRECTIONS = ("up", "down", "left", "right")
ROTATIONS = (0, 90, 180, 270)
def get_tile_borders(tile, dir="all"):
borders = []
border = None
for d in DIRECTIONS:
if dir in [d, "all"]:
... | eirikhoe/advent-of-code | 2020/20/sol.py | sol.py | py | 8,548 | python | en | code | 0 | github-code | 1 |
31539109692 | def min_max():
print("Ingresa los numeros que quieras, cuando termines escribe 'fin'")
lista = []
while True:
numero = input("Ingresa un numero: ")
if numero == "fin":
break
else:
lista.append(int(numero))
print("valores introducidos")
print(lista)
... | borolasgamer/ProyectoParcial2 | MinMaxValor.py | MinMaxValor.py | py | 410 | python | es | code | 0 | github-code | 1 |
40938120333 | # This defines the model
import torch.nn as nn
from torchvision import models
import torch.nn as nn
import torch
class MyEnsemble(nn.Module):
def __init__(self, modelA, modelB, input):
super(MyEnsemble, self).__init__()
self.modelA = modelA
self.modelB = modelB
self.fc1 = nn.Li... | agossouema2011/WCEBleedGenChallenge_Colorlab_Team | Classification/model.py | model.py | py | 1,124 | python | en | code | 0 | github-code | 1 |
40880454626 | # -*- coding: utf-8 -*-
n = int(input())
emails = set()
for i in range(n):
email = input()
user, provider = email.split('@')
if('+' in user):
user, dump = email.split('+')
user = user.replace('.', '')
email = user + '@' + provider
emails.add(email)
print(len(emails)) | andrefakhoury/competitive-programming | problems/solutions/Brazilian Summer School/Summer School 2019/Dia 1/D.py | D.py | py | 287 | python | en | code | 7 | github-code | 1 |
25449310072 | from django.shortcuts import render
from .models import AreaOfExpertise, Expert
def browser(request):
aoe = AreaOfExpertise.objects.all().order_by('field')
experts = Expert.objects.all()
institutes = set()
for expert in experts:
institutes.add(expert.institute) if expert.institute is not No... | ztimson/OACPL | expert_witnesses/views.py | views.py | py | 1,066 | python | en | code | 0 | github-code | 1 |
3121199006 | import math
print("Enter the time of year you were born")
year_time = input(">>> ")
print("Enter x")
x = int(input(">>> "))
year_time = year_time.lower()
if year_time == "winter":
y = ((math.sin(x) + 23 * x) ** 4) / (math.sqrt(abs(x) ** x - 3))
y = round(y, 2)
print(y)
elif year_time == "spring":
y = (... | Weit1sh/math | src/01_math.py | 01_math.py | py | 752 | python | en | code | 0 | github-code | 1 |
25607810331 | ms="the quick brown fox over lazy dog.the dog slept over a varandah"
ss="over"
i=0
k=" "
s=ms.split()
while i<len(s):
if s[i]==ss:
k=k+" on"
else:
k=k+" "+s[i]
i+=1
print(k) | Subhkirti/PYTHON | LISTS/remove substring.py | remove substring.py | py | 201 | python | en | code | 0 | github-code | 1 |
29640359742 | import math
import pytest
from datatable import f, dt, update
from tests import assert_equals
stypes_int = dt.ltype.int.stypes
stypes_float = dt.ltype.real.stypes
stypes_str = dt.ltype.str.stypes
stypes_all = [dt.bool8, dt.obj64] + stypes_int + stypes_float + stypes_str
#--------------------------------------------... | h2oai/datatable | tests/ijby/test-assign-scalar.py | test-assign-scalar.py | py | 9,236 | python | en | code | 1,763 | github-code | 1 |
72537165153 | """
Created on 03.12.2020
:author: Ilya Krasnokutskiy
converting codewords to Newick format
:functions:
add_brackets
add_commas
codewords_conversion
"""
def add_brackets(code_words: list, code_chars: list) -> str:
'''
Перевод кодовых слов в скобочную последовательность (The Newick format).
Д... | IDeltaT/ShannonCoding | ShannonСoding/codewordsconv.py | codewordsconv.py | py | 4,146 | python | ru | code | 0 | github-code | 1 |
19494187982 | #=================================================================================================
# Assignment: 1 Long assignment 2
# Author: Feiran Yang
#
# Course: CSc 120
# Instructor: Saumya Debray
#
# Description: This program will read two user input as grid size and random number see... | moyuwangP/CSc120 | 1/long/word-grid.py | word-grid.py | py | 2,459 | python | en | code | 0 | github-code | 1 |
2997714658 | # -*- coding: utf-8 -*-
import requests
import os
# 6000 is a large number to make sure we get all the components of a collection. Please do note that RISE also has a pagination feature,
# which can be implemented by clients if they wish.
per_page = 6000
# getting the list of collections that the user has access to:
... | RISE-MPIWG/hylg | FetchTextFromRISE.py | FetchTextFromRISE.py | py | 2,253 | python | en | code | 1 | github-code | 1 |
23244688379 | # import cv2
# import glob
# import numpy as np
def bbox_for_deepsort(*x1y1x2y2):
'''
return bbox info for deep_sort
:param x1y1x2y2: (tensor(), tensor(), tensor(), tensor())
:return: (center_x, center_y, bbox_width, bbox_height)
'''
x1, y1, x2, y2 = \
x1y1x2y2[0].item(), x1y1x2y2[1].... | unique-chan/Pedestrian-Counting | util.py | util.py | py | 4,027 | python | en | code | 1 | github-code | 1 |
37683131562 | # Python Project 1: Sudoku Solver
# Started 8/8/2021
# Finished 8/11/2021
# Status: Completed
# -----------------------------------------------------
# Purpose of Project/Learning Goals:
# -Understand Recursion
# -Understand Backtracking
# -Python Syntax (transitioning from C++)
# -----------------------... | arabellesarreal/SudokuAutoSolver | sudokuSolver.py | sudokuSolver.py | py | 2,676 | python | en | code | 0 | github-code | 1 |
44587979411 | """Control module for the Vapourtec R4 heater."""
from __future__ import annotations
from collections import namedtuple
from collections.abc import Iterable
import aioserial
import pint
from loguru import logger
from flowchem import ureg
from flowchem.components.device_info import DeviceInfo
from flowchem.components... | cambiegroup/flowchem | src/flowchem/devices/vapourtec/r4_heater.py | r4_heater.py | py | 6,914 | python | en | code | 11 | github-code | 1 |
43652346391 | from os import name
from django.urls import path
#from .views import HomePageView
from . import views
urlpatterns = [
path('',views.teacher_index,name='teacher'), # Homepag
path('<slug:teacher_id>/<int:choice>/Classes/', views.teacher_home, name="teacher_home"), #Student Batches
path('<slug:classid>/Students... | abidgulshahid/Department-Managment-System | teacher/urls.py | urls.py | py | 1,885 | python | en | code | 1 | github-code | 1 |
20418665838 | import tensorflow as tf
# Softmax Regression Model
# Multilayer Convolutional Network
# batch_size=128
def convolutional(image_holder):
def variable_with_weight_loss(shape, stddev):
var = tf.Variable(tf.truncated_normal(shape, stddev=stddev))
return var
weight1 = variable_with_weight_loss(shap... | WilliamWang1994/car-recognition | model.py | model.py | py | 2,279 | python | en | code | 0 | github-code | 1 |
25500941930 | from fastapi import HTTPException, status
from odmantic.bson import ObjectId
from typing import List
# Import helpers
from helpers.database import db
# Import Models
from models.currency import Currency
async def currency_exists(cid: ObjectId, loc=None):
if loc is None:
loc = []
loc = ['body'] + loc... | arif-sajal/mondol-int-accounts-backend | validators/form/currencyExists.py | currencyExists.py | py | 1,453 | python | en | code | 0 | github-code | 1 |
38773818788 | from os import path
from tIGAr.timeIntegration import *
from PENGoLINS.occ_preprocessing import *
from PENGoLINS.nonmatching_coupling import *
parameters["std_out_all_processes"] = False
SAVE_PATH = "./"
class SplineBC(object):
"""
Setting Dirichlet boundary condition to tIGAr spline generator.
"""
d... | hanzhao2020/PENGoLINS | demos/bicuspid-valve/bicuspid_structural_dynamic.py | bicuspid_structural_dynamic.py | py | 8,478 | python | en | code | 15 | github-code | 1 |
3275424876 | from typing import List
from PyQt5 import QtGui
import networkx as nx
from commandbar.api import cmdutils
from commandbar.commands.cmdexc import PrerequisitesError
from commandbar.utils import objreg
from mainwindow.graph_view import GraphView
from mainwindow.mainwindow import MainWindow
from tree_covers.pygraph.metric... | yairmol/graphui | commands/stretch.py | stretch.py | py | 3,000 | python | en | code | 0 | github-code | 1 |
7735829542 | #!/usr/bin/env python
# vim: set expandtab tabstop=4 shiftwidth=4:
import struct
from ftexplorer.data import Data
data = Data('BL2')
#bpd = data.get_struct_by_full_object('GD_ButtStallion_Proto.Character.AIDef_ButtStallion_Proto:AIBehaviorProviderDefinition_1')
bpd = data.get_struct_by_full_object('gd_slotmachine.Sl... | apocalyptech/ft-explorer | sandbox/linkids.py | linkids.py | py | 1,556 | python | en | code | 4 | github-code | 1 |
28013600994 | import citations as cit
import json
from flask import Flask, request
from flask_cors import CORS
app = Flask(__name__)
cors = CORS(app, resources={r"/api/*": {"origins": "*"}})
years = [ 2015, 2016, 2017, 2018, 2019 ]
class_names = [
"-",
"A",
"B",
"C",
"D",
"E",
]
sectors = [
"MAT01",
... | robol/citation-count | citationserver.py | citationserver.py | py | 2,855 | python | en | code | 0 | github-code | 1 |
26385311712 |
import numpy as np
# from sklearn.metrics import accuracy_score
from sortedcontainers import SortedList
import math
import matplotlib.pyplot as plt
class ml_model(object):
"""
Parameters
------------
method : str
which ML lib
learning_rate : float (default: 0.01)
Learning rate (be... | u8913557/myDataScience | Model/ml_model.py | ml_model.py | py | 21,075 | python | en | code | 0 | github-code | 1 |
24925249732 | # -*- coding: utf-8 -*-
import json
import os
from locale import getdefaultlocale
from .internationalization import SUPPORTED_LANGUAGES
_lang = getdefaultlocale()[0]
for _supported_lang in SUPPORTED_LANGUAGES.keys():
if _lang in _supported_lang or _supported_lang in _lang:
_lang = _supported_lang
... | Sa-RSt/WordByWord | wordbyword/settings.py | settings.py | py | 1,265 | python | en | code | 0 | github-code | 1 |
3874579333 | #! py -2
from krldriver import *
def take():
PTP(POS,"","",-857)
GRIPPER_CLOSE()
PTP(POS,"","",-757)
def drop():
PTP(POS,"","",-857)
GRIPPER_OPEN()
PTP(POS,"","",-757)
def p(n):
if n == 1: PTP(POS,-80,-125,-757)
if n == 2: PTP(POS,-80,50,-757)
if n == 3: PTP(POS,90,50,-757)
if n == 4: PTP(POS,90,-125,-757)... | mnourgwad/zuka | codes/krl-driver/example.py | example.py | py | 2,377 | python | en | code | 9 | github-code | 1 |
6853539137 | """
Wrapper for accessing AWS credentials.
NOTE: DO NOT CHECK PASSWORD INFO INTO ANY GITHUB REPOS.
All credential information must be stored in a secure location.
CREDENTIAL FILE FORMAT: key = value
"""
import os
CREDENTIAL_DIR = "keys"
def read(credential_name: str, directory: str = CREDENTIAL_DIR) -> dict:
... | akikoiwamizu/ai-exercise | utils/credential_manager_utils.py | credential_manager_utils.py | py | 1,372 | python | en | code | 1 | github-code | 1 |
17885667606 | import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
import pdb
from src import config
from src.domain import model
from src.services_layer import unit_of_work
from src.adapters import repository
@pytest.fixture
def tear_down():
session_factory = postgres_db_session... | yellowBunnyy/audio_teka | tests/test_uow.py | test_uow.py | py | 2,066 | python | en | code | 1 | github-code | 1 |
70337406114 | class Solution:
def maximumWealth(self, accounts: List[List[int]]) -> int:
max = 0
for man_accounts in accounts:
sum = 0
for acc in man_accounts:
sum += acc
if sum > max: max = sum
del sum
return max
| exsky/leetcode | easy/1672_Richest_Customer_Wealth/__init__.py | __init__.py | py | 292 | python | en | code | 1 | github-code | 1 |
27537495283 | import torch
import torch.nn as nn
import torch.nn.functional as F
class CNN(nn.Module):
def __init__(self, args, data, vectors):
super(CNN, self).__init__()
self.args = args
self.word_emb = nn.Embedding(args.embed_num, args.embed_dim, padding_idx=1)
# initialize word embedding with pretrained word2vec
... | UVa-NLP/HEDGE | cnn/cnn_model.py | cnn_model.py | py | 1,848 | python | en | code | 30 | github-code | 1 |
42895748829 | import torch
import pandas as pd
import numpy as np
from tqdm.notebook import tqdm
from joblib import Parallel, delayed #conda install -c anaconda joblib
class DatasetHandler:
def __init__(self, dataframes, config_dict):
"""
cols_input, cols_target, dataframes_descriptions,
keep_na=Fa... | DoriNiss/dust_prediction_using_deep_learning | packages/data_handlers/DatasetHandler.py | DatasetHandler.py | py | 12,765 | python | en | code | 0 | github-code | 1 |
11742668018 | import eval7
from tqdm import tqdm
import traceback
import sys
from pprint import pprint
sys.path.insert(0, "../")
sys.path.insert(0, "../.libs")
from pokereval import PokerEval
pokereval = PokerEval()
from pprint import pprint
import numpy as np
import operator
from tqdm import tqdm
import datetime
import re
rank = ... | jinyiabc/holdem_board_analyzer | hr/fictious_raise.py | fictious_raise.py | py | 7,896 | python | en | code | 0 | github-code | 1 |
30262906364 | import time
from logging import getLogger
from typing import Any, Dict, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.metrics import confusion_matrix, f1_score
from torch.utils.data import DataLoader
from .meter import AverageMeter, ProgressMeter
from .... | yiskw713/pytorch_template | src/libs/helper.py | helper.py | py | 4,370 | python | en | code | 22 | github-code | 1 |
73551408992 | def addition(a, b):
x = a + b
return x
def subtraction(a, b):
x = a - b
return x
def multiplication(a, b):
x = a * b
return x
def division(a, b):
x = a / b
return x
def power(a, b):
x = a**b
return x
operations = {
"+": addition,
"-": subtraction,
"*": multiplic... | tasnimxpress/100DaysOfPython | Day-10 Calculator/Calculator.py | Calculator.py | py | 1,080 | python | en | code | 0 | github-code | 1 |
2759222029 | # -*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Author: chenhao
# Date: 2020-09-13
# Description:
#-------------------------------------------------------------------------------
import torch
import torch.nn as nn
from torch.nn import functional as F
clas... | chenhaoenen/FCTest | nlp/ChnSentiCorp_htl_all/src/model/textcnn.py | textcnn.py | py | 2,010 | python | en | code | 0 | github-code | 1 |
12815370075 | fp = open("C:\\Users\\kartick kolachala\\Desktop\\kartick\\data\\trans1\\transaction201906\\Transactions1.txt", 'rt').read().splitlines()
fETH = open("C:\\Users\\kartick kolachala\\Desktop\\experiments\\outETH.txt", 'w')
paymentList = []
for i, line in enumerate(fp):
paymentList=line.split(" ")
if ... | kartick-bot/ripple | All_ETH.py | All_ETH.py | py | 456 | python | en | code | 0 | github-code | 1 |
9726738798 | from flask import Response, Flask
from time import sleep
import random
import prometheus_client
from prometheus_client import Counter, Histogram
app = Flask('prometheus-app')
REQUESTS = Counter(
'requests', 'Application Request Count',
['endpoint']
)
TIMER = Histogram(
'slow', 'Slow Requests',
['endp... | leonekwolfik/python_devops | python-dla-devops-naucz-sie-bezlitosnie-skutecznej-automatyzacji-noah-gift-kennedy-behrman-alfredo-deza-grig-ghe/src/roz07-Monitoring/web.py | web.py | py | 847 | python | pl | code | 0 | github-code | 1 |
25643939545 | def dfs(root, board, path):
# print(root)
i,j = root
copy = board
copy[i][j] = None
# print(path, end=',')
if len(path) == 0:
return True
entry = path[0]
# print(path)
if len(path) == 0:
return True
found = False
for neighbour in [(i-1, j), (i,j-1), (i,j+1), (i+1,j)]:
x, y = neighbour
if x < 0 or y <... | chenchals/interview_prep | sort/string_dfs.py | string_dfs.py | py | 1,318 | python | en | code | 0 | github-code | 1 |
22418570468 | #!/usr/bin/env python3
import argparse
import requests
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--url", type=str, default="http://0.0.0.0:8000/model")
parser.add_argument("--host", type=str)
parser.add_argument("--port", type=str)
parser.add_argument("-n", "--name... | ktro2828/DenseMatching-API | example/load_model.py | load_model.py | py | 1,046 | python | en | code | 0 | github-code | 1 |
16196933934 | import time
import random
import zmq
context = zmq.Context()
zmq_socket = context.socket(zmq.PUSH)
zmq_socket.connect("tcp://127.0.0.1:5557")
# Start your result manager and workers before you start your producers
consumer_id = random.randrange(1,10005)
print("I am consumer #%s" % (consumer_id))
for num in range(200... | telminov/my_notes_for_various-_programlanguages | python/сокеты/ZMQ с очередями/Zmq/messaging_pattern/3.5/push_pull_(many_pushed)/push_.py | push_.py | py | 423 | python | en | code | 0 | github-code | 1 |
16600501275 | from funciones import *
comandos = {
"pwd": lambda: print(os.getcwd()),
"date": lambda: print(datetime.date.today()),
"time": lambda: print(datetime.datetime.now().time()),
"exit": exit,
"clear": lambda: os.system('cls' if os.name == 'nt' else 'clear'),
"man": mostrar_ayuda,
"uname... | Andres-Paz/proyecto1_compi | main.py | main.py | py | 692 | python | es | code | 0 | github-code | 1 |
11548576270 | import string
def binarySearch(arr: list, num: int):
low = 0
high = len(arr)
mid = (high + low) // 2
while(low <= high):
if arr[mid] == num:
print ("FOUND")
break
elif arr[mid] < num:
low = mid + 1
mid = (high + low) // 2
pri... | maykhid/study | binary_search/binary_search_iterative.py | binary_search_iterative.py | py | 595 | python | en | code | 0 | github-code | 1 |
27666235820 | # -*- coding: utf-8 -*-
import logging
from .utils import parse_date
from .config import Config
import xmltodict
logger = logging.getLogger()
class XMLParser(object):
def __init__(self, xml, config=None):
self.xml = xml
self.errors = None
if config is None:
config = Config()... | Japle/python-pagseguro | pagseguro/parsers.py | parsers.py | py | 6,801 | python | en | code | 173 | github-code | 1 |
16662772162 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
# In[3]:
df=pd.read_csv(r'C:\Users\msid4\OneDrive\Desktop\cc\music.tsv',sep='\t',encoding='utf-8',error_bad_lines=False)
# In[3]:
df.head()
# In[90]:
df.shape
# In[4]:
import findspark
# In[5]:
findspark.init('C:\spark')
# In[6]... | msid4459/Cloud-Computing-Spark_ML_MapReduce-project | stage2.py | stage2.py | py | 2,337 | python | en | code | 0 | github-code | 1 |
75168964833 | """This module includes dependencies."""
from fastapi import Header, status, HTTPException
from settings import INTERNAL_CONFIGS
def verify_api_key(
x_auth: str = Header(description="API key"),
x_from_name: str = Header(description="Name of services from where request is came"),
):
"""Check if user is l... | Monoboard/monoboard.api.auth | src/dependencies.py | dependencies.py | py | 707 | python | en | code | 0 | github-code | 1 |
35872126644 | """\
Reference Directive for L.E.A.R.N
=================================
Author: Akshay Mestry <xa@mes3.dev>
Created on: Friday, July 28 2023
Last updated on: Monday, July 31 2023
This module provides a custom directive for L.E.A.R.N's custom theme,
that allows authors and contributors to add a dedicated references
s... | xames3/learn | docs/source/_extensions/sphinx/ext/learn/references.py | references.py | py | 5,586 | python | en | code | 8 | github-code | 1 |
33082316879 | import re
from googletrans import Translator
# Dòng chứa thông tin sinh viên
student_info = "Full name: BUI HUY HOANG\nDoB\n11/12/2003\nGender: Male\nIntake\n2021-2024\nCourse: Bachelor\nMajor\nInformation and Communication Technology\nBI12-170\nValidity: 30/10/2024"
# Tìm và ghép các phần của đối tượng lại với nhau... | Huyen165/ML2 | Src/Identify_info.py | Identify_info.py | py | 1,705 | python | vi | code | 0 | github-code | 1 |
19118236265 | import pandas as pd
import matplotlib.pyplot as plt
# Load the CSV data into a DataFrame
df = pd.read_csv("suicide_reates.csv")
# Menu for user's choice
print("Select a graph to display:")
print("1. Bar Graph")
print("2. Histogram")
print("3. Scatter Plot")
print("4. Line Graph") # Add Line Graph option
choice = in... | praveenkumar-byte/ml | visualize.py | visualize.py | py | 1,709 | python | en | code | 0 | github-code | 1 |
17036383575 | # explanation: max-heapify each row, pop n-1 times, put these into row max-heap of size m
# add the root (largest of deleted) into a sum
# repeat until no columns left
import heapq
def deleteGreatestValue(grid):
sum = 0
# turn each row into a heap and put those heaps into a list
row_heaps = []
for r... | rwang2022/Leetcode | heap/2500.py | 2500.py | py | 937 | python | en | code | 0 | github-code | 1 |
31772141626 | # coding=utf-8
import json
import telegram
import logging
from telegram.error import NetworkError, Unauthorized
from time import sleep
TOKEN = '206483377:AAHnQ_ohMuvDhI5mfbDMrHKTnTGIi7YhT6A' # Ponemos nuestro Token generado con el @BotFather
#bot.setWebhook('https://api.tekegram.org/bot/'+TOKEN+'/')
def main():
... | LucasHG94/VallaBot | vallaBotOld.py | vallaBotOld.py | py | 1,480 | python | en | code | 0 | github-code | 1 |
10389850703 | import matplotlib.pyplot as plt
import numpy as np
from math import factorial, sqrt
from scipy.misc import derivative
def f(x, l):
return (x ** 2 - 1) ** l
def der_f(x, l, m):
order = l + abs(m)
return derivative(f, x0=x, n=order, args=[l], order=2 * order + 1)
def calculate_func(theta, phi, l, m):
... | Mihinator3000/Group-Projects | Physics/Modeling5/main.py | main.py | py | 2,850 | python | en | code | 0 | github-code | 1 |
7900094304 |
from django.urls import path
from . import views
urlpatterns = [
path("", views.index, name="index"),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("register", views.register, name="register"),
path("allPosts",views.allPosts,name="allPosts")... | keshavanand/Network | network/urls.py | urls.py | py | 702 | python | en | code | 0 | github-code | 1 |
15405581753 | #!/usr/bin/env python3
"""
https://adventofcode.com/2016/day/18
"""
import aoc
PUZZLE = aoc.Puzzle(day=18, year=2016)
def solve(part='a'):
"""Solve puzzle"""
rows = 40 if part == 'a' else 400000
prev = PUZZLE.input
tiles_per_row = len(prev)
safe_tiles = prev.count('.')
for _ in range(1, rows)... | trosine/advent-of-code | 2016/day18.py | day18.py | py | 722 | python | en | code | 0 | github-code | 1 |
71632700195 | import logging
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def do_add_remove_maglev(test, table, add, remove, exp_table, exp_prev_ele_map):
logger.info("===Add/Remove Maglev test===")
if add:
logger.info("Adding {} to the table.".format(add))
table.add(add... | futurewei-cloud/zeta | test/helper.py | helper.py | py | 803 | python | en | code | 16 | github-code | 1 |
34002248465 | N, K = map(int, input().split(" "))
V = list(map(int, input().split(" ")))
max_score = 0
for i in range(N+1):
# print(list(range(i, N+1)))
for j in range(i, N+1):
# print(i, j)
p = V[:i] + V[j:]
# print(p)
if len(p) > K:
continue
p.sort(reverse=True)
... | yojiyama7/python_competitive_programming | atcoder/abc/abc128/d_equeue.py | d_equeue.py | py | 542 | python | en | code | 0 | github-code | 1 |
226116276 | class Argument:
# self.command - the command string for this argument
# self.value - the actual value of this argument
# self.branchable - the true/false state of the branchable flag
# self.is_flag - whether or not this argument is a flag
command = None
value = None
branchable = True
is_... | acgt-tax-consultants/orchard | orchard/module/_argument.py | _argument.py | py | 2,745 | python | en | code | 1 | github-code | 1 |
2548449685 | """Finetune 3D CNN."""
import os
import argparse
import itertools
import time
import math
import random
import builtins
import warnings
import string
import numpy as np
import pandas as pd
from PIL import ImageFilter
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import... | guoshengcv/CACL | train_finetune.py | train_finetune.py | py | 23,057 | python | en | code | 22 | github-code | 1 |
5823107738 | from PythonPrograms.Oblig2_A_star.Vertex import Vertex
from PythonPrograms.Oblig2_A_star.Edge import Edge
from PythonPrograms.Oblig2_A_star.Graph import Graph
import pygame as pg
'''
The AStar class inherits the Graph class
'''
class AStar(Graph):
"""
#
# delay: seconds between each iteration when visu... | HalilIbrahimKeser/AStarAndKalmanPython | PythonPrograms/Oblig2_A_star/AStar.py | AStar.py | py | 18,462 | python | en | code | 0 | github-code | 1 |
11347730200 | import numpy as np
# Coordinates of the Anchor points (Sensors)
X = np.linspace(12,200-12,np.sqrt(16))
Y = np.linspace(12,200-12,np.sqrt(16))
sensors = np.zeros( (16,2) )
i=0
for x1 in X :
for y1 in Y :
sensors[i] = np.array( (x1,y1) )
i += 1
# okumura hata rssi simulation
def get_rssi( pos , sensor = sensor... | abdullahalsaidi16/wsn_localization_tracking | Random Fourier Features/Lib/rssi_gen.py | rssi_gen.py | py | 573 | python | en | code | 12 | github-code | 1 |
32746010298 | import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
class clusteredData():
def __init__(self,dataSet)-> None:
self.__dataSet = dataSet
self.__centriods,self.__belongsTo = elbowMethod(dataSet,8)
#self.__centriods,self.__belongsTo = kmeans(3,dataSet)
#self.plot()
... | danieljimenez1337/tlds-parser | kmeans_util.py | kmeans_util.py | py | 4,685 | python | en | code | 1 | github-code | 1 |
29443739493 | ############################################################################################
#
# Cálculo do desvio padrão para as idades dos personagens dos Simpsons
#
# Cálculo do desvio padrão populacional e amostral para as idades dos personagens dos Simpsons:
# As regras básicas para os cálculos de desvios padrã... | Grinduim/Bosch-2022.2 | Bosch/InnoHub/Treinamento de IA/materiais/Exemplos_1/SIMPSONS_EXAMPLE/SIMPSONS_STANDARD_DEVIATION.py | SIMPSONS_STANDARD_DEVIATION.py | py | 2,853 | python | pt | code | 0 | github-code | 1 |
21843642223 | class Solution:
def maxArea(self, h: int, w: int,
horizontalCuts: List[int], verticalCuts: List[int]) -> int:
horizontalCuts.extend([0, h])
horizontalCuts.sort()
verticalCuts.extend([0, w])
verticalCuts.sort()
# print(horizontalCuts, vertica... | uditmanav17/leetcode | 1465-maximum-area-of-a-piece-of-cake-after-horizontal-and-vertical-cuts/1465-maximum-area-of-a-piece-of-cake-after-horizontal-and-vertical-cuts.py | 1465-maximum-area-of-a-piece-of-cake-after-horizontal-and-vertical-cuts.py | py | 713 | python | en | code | 0 | github-code | 1 |
21941953653 | import tkinter as tk
class App:
def __init__(self, root):
frame = tk.Frame(root)
frame.pack()
self.hi_three = tk.Button(frame,text="say hello",bg="white",fg="red", command=self.say_hi)
self.hi_three.pack(side=tk.LEFT)
def say_hi(self):
print("hello ,welcome to the real ... | helloword1314/caowei_pythion3 | cwpack/tktinte/02_按钮.py | 02_按钮.py | py | 377 | python | en | code | 0 | github-code | 1 |
35010952644 | # 스포츠 기사 크롤링
import requests
from bs4 import BeautifulSoup as bs
from apps.resources.models import Article
def crawling_entertain_news():
entertain_url = "https://entertain.naver.com"
entertain_url_home = entertain_url + "/home"
response = requests.get(entertain_url_home)
soup = bs(response.text, ... | Billionaire-Project/four_hours_service | scheduler/news_crawling_entertain.py | news_crawling_entertain.py | py | 1,835 | python | en | code | 0 | github-code | 1 |
41304347612 | import torch
print(torch.__version__)
torch.get_default_dtype()
torch.get_num_threads()
torch.set_default_dtype(torch.float64)
torch.get_default_dtype()
tensor_arr = torch.Tensor([[1, 2, 3], [4, 5, 6]])
torch.is_tensor(tensor_arr)
torch.numel(tensor_arr) #Gives the number of elements in the tensor
tensor_unin... | subhankar453/ExploringPyTorch | models/ExploringPyTorch.py | ExploringPyTorch.py | py | 3,807 | python | en | code | 0 | github-code | 1 |
4851382797 | from scout.build.disease import build_disease_term
def test_build_disease_term(adapter):
## GIVEN some disease info and a adapter with a gene
disease_info = {
'mim_number': 615349,
'description': "EHLERS-DANLOS SYNDROME, PROGEROID TYPE, 2",
'hgnc_symbols': set(['B3GALT6']),
'inh... | gitter-badger/scout | tests/build/test_build_disease.py | test_build_disease.py | py | 803 | python | en | code | null | github-code | 1 |
33970522684 | import logging
from typing import Any, Callable, Dict, Iterable, Iterator, Optional, Tuple, Union
from swh.core.db import BaseDb
from swh.model.model import (
BaseModel,
Directory,
DirectoryEntry,
ExtID,
RawExtrinsicMetadata,
Release,
Revision,
Snapshot,
SnapshotBranch,
TargetTy... | SoftwareHeritage/swh-storage | swh/storage/backfill.py | backfill.py | py | 20,163 | python | en | code | 6 | github-code | 1 |
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