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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
37407108595 | from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.ensemble import RandomForestClassifier
import xgboost as xgb
from sklearn.linear_model import LinearRegression
# dummy data
X, y = make_classificatio... | HyperionDevBootcamps/C4_DS_lecture_examples | Lecture code/Machine Learning/Decision Trees/Ensemble.py | Ensemble.py | py | 1,443 | python | en | code | 37 | github-code | 36 |
4419668118 | #服务器
import socket
import time
SERVER_IP = "127.0.0.1"
SERVER_PORT = 8000
server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server.bind((SERVER_IP,SERVER_PORT))
print("Waiting...")
players = []
while len(players) < 4:
message, address = server.recvfrom(1024)
message = message.decode()... | Julia1976/python-project | Network/3.13网络爬虫/3.27work/server play.py | server play.py | py | 818 | python | en | code | 0 | github-code | 36 |
5762295604 | import os
import sys
from datetime import datetime, timedelta
from airflow.models import DAG
from airflow.operators.python import PythonOperator
from airflow.utils.dates import days_ago
PARENT_DIR = os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
)
sys.path.append(PARENT_DIR)
from c... | bhuiyanmobasshir94/Apache-Airflow-Starter | airflow/dags/aflow_dag.py | aflow_dag.py | py | 823 | python | en | code | 0 | github-code | 36 |
30722724901 | #programmers_단어 변환
#=== import module ===#
from collections import deque
#=== variable declare ===#
#=== Function define ===#
def solution(begin, target, words):
if target not in words: return 0; #불가능한 경우
queue = deque();
queue.append([begin,0]); #current, visited
level = 0;
succeed = False;
while qu... | Hoony0321/Algorithm | 2022_02/26/programmers_단어 변환.py | programmers_단어 변환.py | py | 1,080 | python | en | code | 0 | github-code | 36 |
4035544255 | #User function Template for python3
class Solution:
def maxDiamonds(self, A, N, K):
import heapq
l = []
heapq.heapify(l)
for i in A:
heapq.heappush(l,-1*i)
ans = 0
while(K!=0):
x = -1*heapq.heappop(l)
ans = ans +x
... | 20A31A0563/LeetCode | Maximum Diamonds - GFG/maximum-diamonds.py | maximum-diamonds.py | py | 739 | python | en | code | 0 | github-code | 36 |
71960799785 | import gluonbook as gb
from mxnet.gluon import data as gdata
import sys
import time
import matplotlib.pyplot as plt
mnist_train = gdata.vision.FashionMNIST(train=True)
mnist_test = gdata.vision.FashionMNIST(train=False)
# 训练集和测试集中每个类别的图像分别为6000, 1000, 因此len(mnist_train)=60000, len(mnist_test) = 10000
print(len(mnist... | fulinli/DeepLearning_MXNet | Fashion-MNIST.py | Fashion-MNIST.py | py | 3,590 | python | zh | code | 0 | github-code | 36 |
13536005652 | from lib import setter, getter, io_tools
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--config", type = str, help = "path to campaigns config json file")
parser.add_argument("--PU", type = str, help = "name of the pileup sample to set sitewhitelist for")
parser.add_argument("--sites", type ... | tyjyang/CampaignManager | scripts/set-sitewhitelist-for-PU.py | set-sitewhitelist-for-PU.py | py | 712 | python | en | code | 0 | github-code | 36 |
4013502332 | # 문제 출처 : https://programmers.co.kr/learn/courses/30/lessons/12982
def solution(d, budget):
answer = 0
d = sorted(d)
for cost in d:
if budget < cost:
break
else:
budget -= cost
answer += 1
print(answer)
return answer
| ThreeFive85/Algorithm | Programmers/level1/budget/budget.py | budget.py | py | 298 | python | en | code | 1 | github-code | 36 |
951612582 | pkgname = "less"
pkgver = "643"
pkgrel = 0
build_style = "gnu_configure"
configure_args = ["--with-regex=posix"]
make_cmd = "gmake"
hostmakedepends = ["gmake"]
makedepends = ["ncurses-devel"]
checkdepends = ["perl"]
pkgdesc = "Pager program similar to more(1)"
maintainer = "q66 <q66@chimera-linux.org>"
license = "custo... | chimera-linux/cports | main/less/template.py | template.py | py | 1,187 | python | en | code | 119 | github-code | 36 |
70110044584 | from django.contrib.auth import get_user_model
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from django.utils.translation import gettext_lazy as _
from library_test_project.users.models import ScoreAbs
User = get_user_model()
class Author(models.Model):
na... | Bakdolot/library_test_project | library_test_project/library/models.py | models.py | py | 1,968 | python | en | code | 0 | github-code | 36 |
8139333027 | '''
Æfingarverkefni 7 recursion
Hrólfur Gylfason
31/10/2018
'''
def finnaHeildarsummu(tala, summa = 0):
if tala > 0:
summa += tala
return finnaHeildarsummu(tala-1, summa)
else:
return summa
def finnaHeildarsummuOdda(tala, summa = 0):
if tala > 0 and tala % 2 == 1:
summa += t... | hrolfurgylfa/Forritun | Python/FORR2HF05CU/Æfingarverkefni/14. Æfingarverkefni 7 recursion/Æfingarverkefni_7.py | Æfingarverkefni_7.py | py | 1,693 | python | is | code | 0 | github-code | 36 |
21694318257 | import os
import numpy as np
import matplotlib.pyplot as plt
import re
from io import StringIO
from skimage.external.tifffile import imsave
from scipy.interpolate import griddata
from scipy.signal import medfilt
def GetChunkFromTextFile(FileName, StartStr, StopStr, skip_header=0, skip_footer=0, LastHit=True, DataType... | ZGainsforth/QEScripts | Wannier/ReadXSFVolume.py | ReadXSFVolume.py | py | 6,099 | python | en | code | 4 | github-code | 36 |
23591319702 | from imdb import IMDb
import pickle
import os
DIR = 'movies/'
movie_files = os.listdir('movies')
actors_list = list()
# for file in movie_files:
# with open(DIR + file, 'rb') as file:
# movie = pickle.loads(file.read())
# with open(DIR + movie.movieID + "_actors.txt", "w", encoding='... | 7tg/networkx | actors.py | actors.py | py | 908 | python | en | code | 1 | github-code | 36 |
36950841559 | import sys
sys.path.append("/mnt/data0/ravi/work/wiredtiger/bench/workgen/runner")
from runner import *
from wiredtiger import *
from workgen import *
''' The original wtperf input file follows:
# This workload uses several tens of thousands of tables and the workload is evenly distributed
# among them. The workload ... | mongodb/mongo | src/third_party/wiredtiger/bench/workgen/runner/many-dhandle-stress.py | many-dhandle-stress.py | py | 3,579 | python | en | code | 24,670 | github-code | 36 |
34866939002 | import math
from src.getTickers import *
from src.importData import *
from backtrader.indicators import ema
import datetime
GOINGDOWN_DAYS = 60
def hasNotIncreaseTooMuch(datahigh,datalow):
heighest=0
lowest=10000
for i in range(-5, 0):
heighest = max(heighest, datahigh[i])
lowest = min(low... | lumeng3/luluquant | src/strategy/goingDown.py | goingDown.py | py | 2,672 | python | en | code | 1 | github-code | 36 |
30820901838 | #Extracts second-column values from .dat files and prints them out, comma-separated, so they can be used as a colormap in VARNA
#It'll do this for all .dat files you have in your directory. If you don't want this feature just comment out everything with read_files in it
#and unindent as needed.
#I also plot out the va... | gwlilabmit/Ram_Y_complex | paired_prob/plot_dat.py | plot_dat.py | py | 7,427 | python | en | code | 0 | github-code | 36 |
22782858968 | #
# @lc app=leetcode id=240 lang=python3
#
# [240] Search a 2D Matrix II
#
# https://leetcode.com/problems/search-a-2d-matrix-ii/description/
#
# algorithms
# Medium (41.66%)
# Likes: 1941
# Dislikes: 57
# Total Accepted: 218.3K
# Total Submissions: 523.9K
# Testcase Example: '[[1,4,7,11,15],[2,5,8,12,19],[3,6,9... | Zhenye-Na/leetcode | python/240.search-a-2-d-matrix-ii.py | 240.search-a-2-d-matrix-ii.py | py | 1,876 | python | en | code | 17 | github-code | 36 |
33167135913 | from collections import Counter
from contextlib import contextmanager, asynccontextmanager
import logging
import time
logger = logging.getLogger(__name__)
class TimingStats(Counter):
def __init__(self, verbose: bool = False):
super().__init__()
self.verbose = verbose
@contextmanager
def ... | andrew-landers-by/luman-1584-blob-timeout | luman_1584/timing.py | timing.py | py | 915 | python | en | code | 0 | github-code | 36 |
14722446132 | from pycorenlp import StanfordCoreNLP
import os, json, sys
#os.chdir("C:/Program Files/stanford-corenlp-4.2.2")
#os.system("java -mx5g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -timeout 10000")
nlp = StanfordCoreNLP('http://localhost:9000')
annotators = "ssplit,ner,depparse"
ner_keys = ["PERSO... | gaelix98/progetto-fdsml | codici aggiunti/bio_nlp.py | bio_nlp.py | py | 4,109 | python | en | code | 1 | github-code | 36 |
30998043719 | import copy
import utils
from Handler import Handler
MAX_LEN = 4000
THE_ANSWER_IS_LONG = "The answer is long, type /cont to continue"
class DefaultValueHandler(Handler):
def __init__(self, base_handler, default_query):
self.base_handler = base_handler
self.default_query = default_query
... | petr-kalinin/progrobot | DefaultValueHandler.py | DefaultValueHandler.py | py | 516 | python | en | code | 14 | github-code | 36 |
22772365443 | from tkinter import*
from tkinter import ttk, messagebox
import datetime as dt
import openpyxl
import pandas as pd
import os
import csv
class dataEntry:
def __init__(self,root):
self.root = root
self.root.title("Quality tracker")
self.root.geometry("1000x800+0+0")
self.ro... | muttas/my-projects | BusinessReviews_audit_form.py | BusinessReviews_audit_form.py | py | 8,340 | python | en | code | 0 | github-code | 36 |
9744073954 | import sys
import os
import logging
import urllib
from datetime import datetime, timedelta
from google.appengine.ext import ndb
from google.appengine.api import users
from google.appengine.ext import blobstore
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from common.arguments import *
from common.... | AegisTools/aegis-appengine | modules/assets/assets_private.py | assets_private.py | py | 5,339 | python | en | code | 0 | github-code | 36 |
4728646967 | import time
from io import BytesIO
from typing import List
import pandas as pd
from matplotlib import pyplot as plt
from pandas import DataFrame
from svglib.svglib import svg2rlg
from evaluate.EvaluateCore import PartAngle
import seaborn as sns
plt.rcParams['font.sans-serif'] = ['SimHei'] # 中文字体设置-黑体
plt.rcParams['... | spianmo/GaitStudio | evaluate/ReportModuleBuilder.py | ReportModuleBuilder.py | py | 8,394 | python | en | code | 8 | github-code | 36 |
8754880255 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
from odoo.exceptions import UserError
class OfDatastoreCrmAllocateWizard(models.TransientModel):
_name = 'of.datastore.crm.sender.allocate.wizard'
_description = u"Wizard d'affectation de partenaire"
lead_id = fields.Many2one('crm.lead', u"Opp... | odof/openfire | of_datastore_crm_sender/wizards/of_datastore_crm_sender_allocate_wizard.py | of_datastore_crm_sender_allocate_wizard.py | py | 5,884 | python | fr | code | 3 | github-code | 36 |
30380624251 | import os
from datetime import timedelta
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/4.1/howto/deployment/checklist/
... | Lord-sarcastic/quiz | backend/settings.py | settings.py | py | 4,013 | python | en | code | 0 | github-code | 36 |
6241769210 | """A simple simulation of wave packet.
Refer the details to the journal paper: PRA 45, 4734 (1992).
"""
from importlib.resources import path
import numpy as np
import pandas as pd
import xarray as xr
from . import rsc
from .electricfield import ElectricField
__all__ = ["predefined_target", "WavePacket"]
def prede... | DaehyunPY/FERMI_20149100 | Packages/simul2/wavepacket.py | wavepacket.py | py | 1,648 | python | en | code | 0 | github-code | 36 |
44395034513 |
class Solution:
def minimumSwap(self, s1: str, s2: str) -> int:
# X_Y : x in s1, y in s2, with same index
# Y_X : y in s1, x in s2, with same index
X_Y, Y_X, res = 0, 0, 0
for i in range(len(s1)):
if s1[i] == s2[i]:
continue
if s1[i] == "x" an... | Liuys614/LeetCode | 1247_Minimum Swaps to Make Strings Equal_ref.py | 1247_Minimum Swaps to Make Strings Equal_ref.py | py | 721 | python | en | code | 0 | github-code | 36 |
3272420780 | import json
import re
import requests
from django.contrib.auth import login
from django.contrib.auth.decorators import login_required
from django.core import serializers
from django.db import IntegrityError
from django.http import HttpResponse
from django.shortcuts import render, redirect
from . import models
OW_API_... | ysyesilyurt/WeatherApp | WeatherApp/views.py | views.py | py | 9,163 | python | en | code | 1 | github-code | 36 |
24680745592 | import base64
def e5(m): # base64
s = base64.b64decode(m)
s = s.decode()
return s
def e4(m, k=13): # Caesar shift cipher
m = m.lower()
s = ""
for i in range(len(m)):
s += chr((ord(m[i]) - k - 97) % 26 + 97)
return s
def e2(m, k): # Vigenere cipher
m = m... | SudeshGowda/Systems-recruitment-task | Decoder.py | Decoder.py | py | 2,373 | python | en | code | 0 | github-code | 36 |
25049652193 | import numpy as np
import torch
from skimage.metrics import peak_signal_noise_ratio,structural_similarity
import natsort
import cv2
import os
from tqdm import tqdm
def tensor2im(input_image, imtype=np.uint8):
if isinstance(input_image, torch.Tensor):
image_tensor = input_image.data
else:
return... | Jintopia/Hint-based-Colorization | utils.py | utils.py | py | 1,302 | python | en | code | 1 | github-code | 36 |
28524161009 | import socket
import pickle
SERVER_ADDR = "192.168.1.100"
PORT = 6000
ADDR = (SERVER_ADDR, PORT)
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
replys = []
def send(reply):
try:
client.send(pickle.dumps(reply))
return pickle.loads(client.recv(4096))
except sock... | TSC-MSTF/QuizApp | client.py | client.py | py | 2,308 | python | en | code | 0 | github-code | 36 |
7148043819 | a = list(["test.email+alex@leetcode.com","test.e.mail+bob.cathy@leetcode.com","testemail+david@lee.tcode.com"])
res = []
for temp in a:
temp1 = temp.split("@")[0]
temp2 = temp.split("@")[1]
temp1 = "".join(temp1.split("."))
temp1 = temp1[0:temp1.rfind('+',1)]
if temp1+'@'+temp2 not in res:
r... | ljdongysu/LeetCode | 929/Unique_Email_Addresses.py | Unique_Email_Addresses.py | py | 363 | python | en | code | 0 | github-code | 36 |
228322789 | """
练习2. 定义函数,在列表中找出所有数字
[43,"悟空",True,56,"八戒",87.5,98]
"""
# 适用性
# 函数有一个结果使用return
# 函数有多个结果使用yield
def get_number1(list_number):
result = []
for item in list_number:
if type(item) in (int, float):
result.append(item)
return result
def get_number2(list_number):
for item ... | testcg/python | code_all/day17/exercise02.py | exercise02.py | py | 635 | python | en | code | 0 | github-code | 36 |
39056231859 | from numpy import genfromtxt,where,zeros,nan,ones
from glob import glob
from obspy.core.util.geodetics import gps2DistAzimuth
from matplotlib import pyplot as plt
from obspy import read
from obspy.core import UTCDateTime
from datetime import timedelta
lonepi=-122.3174
latepi=38.2118
time_epi=UTCDateTime('2014-08-24T10... | Ogweno/mylife | Napa_stuff/plot_PGD.py | plot_PGD.py | py | 2,500 | python | en | code | 0 | github-code | 36 |
15013232508 | ### JORDAN VICENTE-LACHAPELLE /-/ 10-26-23 /-/CTI-110 - P3HW2 - Salary ###
import os
os.system('cls')
# Get employee name from user
Name = input("Enter employee's name: \n ")
# Get number of hours from user
Hours = int(input("Enter number of hours worked: \n "))
# Get pay rate per hour from user
PayRa... | JordanVL1234/CTI-110 | Python/P3HW2_JordanVicenteLachapelle.py | P3HW2_JordanVicenteLachapelle.py | py | 1,239 | python | en | code | 0 | github-code | 36 |
3349395198 |
import paho.mqtt.client as mqtt
import paho.mqtt.publish as publish
import time,os
import datetime
while True:
try:
# The callback for when the client receives a CONNACK response from the server.
def on_connect(client, userdata, flags, rc):
# Subscribing ... | PraveerT/RPI_MDX | Shutdown/shutdown.py | shutdown.py | py | 1,117 | python | en | code | 0 | github-code | 36 |
29656137310 | import time
import tweepy
auth = tweepy.OAuthHandler('KINHgXqoSTS5ReyTnjXSYAA6w', 'ehCnMc37yfAf6PPdmzQMJM7pkUb5HYsnPfZw0vf5m9rxPNEbVm')
auth.set_access_token('1488729367346040833-mQJ2oNZDK0Rj49uLojV9WAYL4oURe0', '8zzRNCJ9sGxcnxJxgVEQkfNC7kWL12Akgpd2gdUt6REo3')
api = tweepy.API(auth)
user = api.me()
# public_tweets =... | giochoa/pythontest | twitterbot/tweety.py | tweety.py | py | 978 | python | en | code | 0 | github-code | 36 |
6554339298 | from __future__ import annotations
# IMPORTS
# =======>
# noinspection PyUnresolvedReferences
import typing
import pegen.parser as pegen
# EXPORTS
# =======>
__all__ = [
'memoize',
'memoize_left_rec',
]
# MAIN CONTENT
# ============>
if typing.TYPE_CHECKING:
from pegen.parser import Parser
F = typing.... | ButterSus/KiwiPreview | frontend/parser/memoizetools.py | memoizetools.py | py | 1,460 | python | en | code | 0 | github-code | 36 |
3738842637 | import pandas as pd
from bs4 import BeautifulSoup as bs
from splinter import Browser
def init_browser():
executable_path = {"executable_path": "chromedriver.exe"}
return Browser("chrome", **executable_path)
mars_dict = {}
#NASA Mars News
def scrape_mars_news():
try:
browser = init_browser()
... | williamsit/Homework | Mission_To_Mars/scrape_mars.py | scrape_mars.py | py | 4,587 | python | en | code | 0 | github-code | 36 |
37489105113 | import struct
import utils
from random import randint
from binascii import hexlify
from abci import ABCIServer
from abci import BaseApplication
from abci import ResponseInfo
from abci import ResponseQuery
from abci import ResponseInitChain
from abci import ResponseCheckTx
from abci import ResponseDeliverTx
from abci... | SoftblocksCo/Simple_coin | application.py | application.py | py | 3,914 | python | en | code | 9 | github-code | 36 |
14059339607 | from utils import WordEmbeddingUtil, TextUtil
from config import Config
import numpy as np
import torch
word2vec_util = None
text_cnn_model = torch.load('../pretrained/text_cnn_static.h5')
def static_text_cnn_word2vec_predict(sentence):
global word2vec_util, text_cnn_model
if word2vec_util is None:
w... | miyazawatomoka/QIQC | script/predict.py | predict.py | py | 1,148 | python | en | code | 0 | github-code | 36 |
7822082403 | # 풀이 중도 포기 (2/1 이어서 시도)
from collections import deque
from sys import stdin
input = stdin.readline
def dfs(h, w):
queue = deque([h, w])
visited[h, w] = True
for i, j in li[h]:
if not visited[j]:
pass
h, w = map(int, input().split())
li = []
res = 0
max = 0
# 육지 바다 정보 입력
for _ in r... | Drizzle03/baekjoon_coding | 20230131/2589_Backtracking.py | 2589_Backtracking.py | py | 646 | python | ko | code | 0 | github-code | 36 |
22123090899 | from conf import * # Это для моего пользованяи можете удалить
import os
TOKEN = TOKEN # Токен бота
WEBHOOK_HOST = WEBHOOK_HOST #Хостинг для вебхуков
WEBHOOK_PATH = f'/webhook/{TOKEN}'
WEBHOOK_URL = f'{WEBHOOK_HOST}{WEBHOOK_PATH}'
WEBAPP_HOST = '0.0.0.0'
WEBAPP_PORT = 5000
pat_home = os.getcwd()
| Colobok2002/Profkom-bot | CONFIG.py | CONFIG.py | py | 366 | python | ru | code | 0 | github-code | 36 |
18694607794 | # -*- coding: utf-8 -*-
"""
Functions to interact with the realsense recordings for HPPD project
"""
#%% imports
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import cv2
import pyrealsense2 as rs
import mediapipe
import sys
import keyboard
import os
import csv
import datetime
import time
... | mmtlab/wheelchair_contact_detection | hppdWC/bagRS.py | bagRS.py | py | 43,231 | python | en | code | 0 | github-code | 36 |
32523088106 | import os
from flask import Flask, jsonify, request, send_from_directory, Blueprint
from flask_restful import Api
from werkzeug.utils import secure_filename
from resources.invoice import InvoicesResource, InvoiceResource, MarkDigitizedInvoice
# from config import UPLOAD_FOLDER
UPLOAD_FOLDER = "./uploads/"
ALLOWED_EXT... | KetanSingh11/Python_Assignment_-_Plate_IQ | plateiq_app/app.py | app.py | py | 2,447 | python | en | code | 0 | github-code | 36 |
16103607796 | import imp
from multiprocessing.spawn import import_main_path
from django.shortcuts import render
from student.models.students import Student
def index(request):
if request.method == "POST":
name = request.POST.get("name")
adm = request.POST.get("adm")
print(name)
print(adm)
... | Python-Guruz/CRUD-DEMO | student/views/students.py | students.py | py | 612 | python | en | code | 0 | github-code | 36 |
2722590323 | class Solution:
def groupThePeople(self, groupSizes: List[int]) -> List[List[int]]:
d = collections.defaultdict(list)
res = []
for i, g in enumerate(groupSizes):
if g == 1:
res.append([i])
elif (g not in d) or (g in d and len(d[g]) < g-1):
... | ZhengLiangliang1996/Leetcode_ML_Daily | contest/weekcontest166/groupPeople.py | groupPeople.py | py | 521 | python | en | code | 1 | github-code | 36 |
42243134200 | import sys, time, itertools
import dill as pickle
import numpy as np
import matplotlib.pyplot as plt
import scipy.interpolate as interp
import scipy.stats as stats
import scipy.optimize as opti
import bead_util as bu
import calib_util as cal
import transfer_func_util as tf
import configuration as config
import war... | charlesblakemore/opt_lev_analysis | scripts/mod_grav/old/alpha_lambda_from_timedomain_fit.py | alpha_lambda_from_timedomain_fit.py | py | 30,732 | python | en | code | 1 | github-code | 36 |
73495581544 | def czy_wszystkie(napis):
alfabet = "abcdefghijklmnopqrstuwvxyz"
bledy = 0
for i in alfabet:
if i not in napis:
bledy = 1
if bledy == 0:
return True
else:
return False
napis = input("Podaj slowo do sprawdzenia:")
if czy_wszystkie(napis):
print(... | GracjanKoscinski/Programowanie | Petle for/funkcje/zadanie 6.py | zadanie 6.py | py | 353 | python | pl | code | 0 | github-code | 36 |
4435033563 |
import requests
from currency_codes import CURRENCIES
API_KEY = '82e68121413a404dc85fd537'
def get_rate(currency):
url = f"https://v6.exchangerate-api.com/v6/{API_KEY}/pair/{currency}/UZS"
try:
response = requests.get(url)
rate = response.json()['conversion_rate']
except:
rate = False
return rate
de... | otabek-usmonov/uzs-exchangerate-bot | currency_rate_info.py | currency_rate_info.py | py | 921 | python | en | code | 0 | github-code | 36 |
1478139833 | import sys
import os
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QLineEdit, QLabel, QPushButton, QListView
from PyQt5.QtWidgets import QSizePolicy, QScrollArea, QCompleter, QHBoxLayout, QDialog
from PyQt5.QtCore import Qt, pyqtSlot, QModelIndex
from PyQt5.QtCore import QStandardPaths
import ... | Vivx701/Nighandu | nighandu_gui.py | nighandu_gui.py | py | 15,836 | python | en | code | 1 | github-code | 36 |
21271931699 | from pulp import *
def solve_sudoku(input_form):
# A list for indexing
indices_seq = ["1", "2", "3", "4", "5", "6", "7", "8", "9"]
values = indices_seq
rows = indices_seq
columns = indices_seq
squares_list = []
for i in range(3):
for j in range(3):
squares_list += [[(... | nrebel/sudoku-web-app | sudoku.py | sudoku.py | py | 3,199 | python | en | code | 0 | github-code | 36 |
25161970451 | import json
import logging
import requests
from dacite import from_dict
from typing import Any
from adyen_gift_card.api.adyen_notifications.request import NotificationRequestItem
from adyen_gift_card.infrastructure.newstore_client.client_response import NewStoreError
from newstore_common.json.multi_encoder import Mu... | NewStore/int-cinori | integrations/adyen_gift_card/adyen_gift_card/infrastructure/newstore_client/client.py | client.py | py | 1,368 | python | en | code | 0 | github-code | 36 |
27115300498 | from django.shortcuts import render, redirect
from application.models import *
# Create your views here.
def index(request):
context= {
'Users': User.objects.all()
}
return render(request, 'index.html', context)
def submit_user(request):
User.objects.create(
first_name=request.POST['fn... | beattietrey/Coding-Dojo | python_stack/django/django_fullstack/assignments/users_with_templates/application/views.py | views.py | py | 468 | python | en | code | 0 | github-code | 36 |
74114165863 | import frappe
import os
import json
import sys
# bench execute mfi_customization.mfi.patch.migrate_patch.get_custom_role_permission
def get_custom_role_permission(site=None):
if sys.argv[2]=='--site':
os.system("bench --site {0} export-fixtures".format(sys.argv[3]))
else:
os.system("bench ex... | Bizmap-Technologies-Pvt-Ltd/mfi_customization- | mfi_customization/mfi/patch/migrate_patch.py | migrate_patch.py | py | 848 | python | en | code | 0 | github-code | 36 |
36384166089 | """
Author: Kevin Owens
Date: 12 May 2014
Class: LongCalc
Problem description summary (from TopCoder Tournament Inv 2001 Semi C+D 1000): Do big-int math with two integer
operands and a an operator identifier for add, subtract, multiply, and integer divide. Operands are given as strings;
operator is given as a numeri... | knaught/TopCoder | LongCalc.py | LongCalc.py | py | 1,318 | python | en | code | 0 | github-code | 36 |
417596476 | from socket import*
import socket
import sys
try:
sock=socket.socket(family=AF_INET,type=SOCK_STREAM)
except socket.error as err:
print("Failed to create a socket")
print("Reason: %s" %str(err))
sys.exit()
print("Socekt created")
target_host=input("Enter the target_host name to connect: ")
target_por... | Rakibuz/Robotics_HCI | Python Socket Programming/Pro_Knw_tcpsockets.py | Pro_Knw_tcpsockets.py | py | 633 | python | en | code | 0 | github-code | 36 |
73857321062 | import numpy as np
from munch import DefaultMunch
from sklearn.model_selection import train_test_split
from tests import config_params, compas_dataset_class, compas_without_sensitive_attrs_dataset_class
from virny.utils.common_helpers import validate_config, confusion_matrix_metrics
def test_validate_config_true1(co... | DataResponsibly/Virny | tests/utils/test_common_helpers.py | test_common_helpers.py | py | 2,369 | python | en | code | 7 | github-code | 36 |
27698172299 | # -*- coding: utf-8 -*-#
'''
# Name: NormalizePredicateData
# Description: 将测试数据也进行归一化操作
# Author: super
# Date: 2020/5/13
'''
import numpy as np
from HelperClass.NeuralNet_1_1 import *
file_name = "../data/ch05.npz"
if __name__ == '__main__':
# data
reader = DataReader_1_1(file_name)... | Knowledge-Precipitation-Tribe/Neural-network | code/MultiVariableLinearRegression/NormalizePredicateData.py | NormalizePredicateData.py | py | 727 | python | en | code | 3 | github-code | 36 |
100754923 | from linkedin import (LinkedInAuthentication, LinkedInApplication,
PERMISSIONS)
if __name__ == '__main__':
API_KEY = '77se22zag9iejz'
API_SECRET = 'kBpqQgsjTrWXu4wB'
RETURN_URL = 'http://68.183.125.29:5000'
authentication = LinkedInAuthentication(API_KEY, API_SECRET, RETU... | fernando-carvalho/digital_info | teste2.py | teste2.py | py | 495 | python | en | code | 0 | github-code | 36 |
35398028388 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
from contextlib import contextmanager
import os
import pytest
from textwrap import dedent
from pants.base.address import SyntheticAddress, BuildFileAddress
from pants... | fakeNetflix/square-repo-pants | tests/python/pants_test/graph/test_build_graph.py | test_build_graph.py | py | 13,188 | python | en | code | 0 | github-code | 36 |
19056751666 | from model.Player import Player
from model.PropertySquare import PropertySquare
from model.Square import Square
class SquareView:
def __init__(self):
return
def render(self, square: Square):
if(type(square) is PropertySquare):
owner_obj: Player = square.get_owner()
own... | louisZYC/monopoly | view/SquareView.py | SquareView.py | py | 1,081 | python | en | code | 1 | github-code | 36 |
25719962431 | import nmap
import main
import xlsxwriter
nmScan = nmap.PortScanner()
def scan_ip(host):
nombre = main.checkoutput()
if nombre == "print":
print('Host : %s (%s)' % (host, nmScan[host].hostname()))
print('State : %s' % nmScan[host].state())
for proto in nmScan[host].all_protocols():
print('-------... | mepiadmw/PIA-Ciberseguridad | scan_ip.py | scan_ip.py | py | 1,175 | python | en | code | 0 | github-code | 36 |
30326229759 | import pandas as pd
import numpy as np
from statsmodels.stats.outliers_influence import variance_inflation_factor
def forward_delete_corr(data):
# 计算相关系数矩阵
corr = data.corr().abs()
# 选取相关系数矩阵的上三角部分
upper = corr.where(np.triu(np.ones(corr.shape), k=1).astype(bool))
# 找出相关系数大于0.7的变量并添加到待删除列表中
to... | Whale-lyi/simple-predict | filter.py | filter.py | py | 1,753 | python | en | code | 0 | github-code | 36 |
5940263315 | from functools import reduce
import math
import numpy as np
import torch
from torch import nn
from tqdm import tqdm
import torch.nn.functional as F
from model.layers import *
from model.losses import *
class GraphRecommender(nn.Module):
def __init__(self, opt, num_node, adj, len_session, n_train_sessions):
... | dbis-uibk/SPARE | model/recommender.py | recommender.py | py | 4,257 | python | en | code | 3 | github-code | 36 |
29725189606 | import pandas as pd
import numpy as np
def iat_get_dscore_each_stim(df,subject,rt,block,condition,stimulus,cond1,cond2,blocks,weighted):
'''
Take all relevant columns and produce a D score for each stimulus (i.e. word).
08-2017
Alexander Millner <alexmillner@gmail.com
'''
idx=pd.IndexSli... | amillner/pyiat | pyiat/pyiat.py | pyiat.py | py | 32,040 | python | en | code | 1 | github-code | 36 |
33147673762 | #!/usr/bin/env python3
from . base_instruction import BaseInstruction
from error_handler import ErrorHandler
class INS_Defvar(BaseInstruction):
def __init__(self, instruction, programMemory):
self.instruction = instruction
self.programMemory = programMemory
def eval(self):
if len(self.instruction['args']) !=... | hondem/FIT | ipp_proj_1/instructions/ins_defvar.py | ins_defvar.py | py | 724 | python | en | code | 0 | github-code | 36 |
44682923693 | from flask import Flask, render_template, request, session, url_for, redirect
from flask_sqlalchemy import SQLAlchemy
import wikipedia as wk
import random
import re
from retry import retry
from nltk.tokenize import sent_tokenize
import nltk
nltk.download('all')
#TODO - BETTER TEXT REPLACE HE/HER - WIKIPEDIA BETTER SEA... | Freskoko/WikipediaQuizFlask | app.py | app.py | py | 3,771 | python | en | code | 0 | github-code | 36 |
36622911721 | #"""Build and train for the AI Models."""
#imports
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import datetime
import os
from data_load import DataLoader
import numpy as np
import tensorflow as tf
model_name = ""
def reshape_function(d... | leahimJarun/SensoGripProjectAiModel | train.py | train.py | py | 18,429 | python | en | code | 0 | github-code | 36 |
17754409752 | import tornado.ioloop
import tornado.web
import tornado.httpserver
import io
import os
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from sqlalchemy import inspect
from sqla... | gbif/gbif-basemaps | polar-water-tiles/polar-water-preview/server_3575.py | server_3575.py | py | 6,778 | python | en | code | 1 | github-code | 36 |
11577553681 | # 10798
words = []
for _ in range(5):
words.append(list(input()))
word = ''
for i in range(15):
for j in range(5):
try:
word += words[j][i]
except IndexError:
continue
print(word) | starcat37/Algorithm | BOJ/Bronze/10798.py | 10798.py | py | 212 | python | en | code | 0 | github-code | 36 |
73683828585 | from typing import Optional, Tuple
import numpy as np
import torch
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader, Dataset
from src.datamodules.components.diarization_dataset import (
DiarizationDataset,
DiarizationDatasetforInfer,
)
def collate_fn(batch):
ys, ... | DaseiNaN/Speech-Diarization | src/datamodules/diarization_datamodule.py | diarization_datamodule.py | py | 4,687 | python | en | code | 1 | github-code | 36 |
23495813882 | import datetime
import tkinter.messagebox as tm
from tkinter import *
import tkinter.ttk as ttk
import sqlite3
from PIL import ImageTk,Image
path="logo1.png"
sum=0
def myfunction(event):
canvas.configure(scrollregion=canvas.bbox("all"), width=1328, height=455)
def Numberonly1(event):
glob... | Adrish1999/Python-GUI | Reg_Form_Without_Login.py | Reg_Form_Without_Login.py | py | 54,535 | python | en | code | 0 | github-code | 36 |
74307505383 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 18 10:23:50 2017
@author: lcp5y3
"""
#----------------------------------------------------------------------------
# file of function which allow to decode data from uart protocole
# CRUBS_ll
#-------------------------------------------------------------------------... | lcp5y3/tenchWichSpeak | pyqt/CRUBS_ll_decode.py | CRUBS_ll_decode.py | py | 7,281 | python | en | code | 0 | github-code | 36 |
22778807898 | import copy
import numpy as np
import random
from collections import defaultdict
from torch.utils.data.sampler import Sampler
class RandomClassSampler(Sampler):
"""Randomly samples N classes each with K instances to
form a minibatch of size N*K.
Modified from https://github.com/KaiyangZhou/deep-person-rei... | MaXuSun/domainext | domainext/data/samplers/random_class.py | random_class.py | py | 2,346 | python | en | code | 8 | github-code | 36 |
29326071622 | # coding=utf-8
import matplotlib.pyplot as plt
from gensim.models import Word2Vec
from sklearn.linear_model import SGDClassifier
from sklearn.metrics import roc_curve, auc
import data_processing
import globe
import word2vec_gensim_train
# 读入数据
# pos_file_path = '/home/zhangxin/work/workplace_python/DeepNaturalLanguag... | STHSF/DeepNaturalLanguageProcessing | TextClassification/sentiment_analysis/sentiment_analysis_zh/word2vec_classify_run.py | word2vec_classify_run.py | py | 1,700 | python | en | code | 16 | github-code | 36 |
30466599177 | class Solution:
def read(self, buf, n):
temp = [''] * 4 ##新开一个空间，让buf4往里面读数
index = 0
while True:
count = read4(temp)
size = min(count, n - index) # 看还够不够都放进buf里取的
for i in range(size): #对于读进来的数把buf里存入buf4里的数
buf[index] = temp[i]
... | dundunmao/LeetCode2019 | 157 Read N Characters Given Read4.py | 157 Read N Characters Given Read4.py | py | 609 | python | zh | code | 0 | github-code | 36 |
1406747066 | #Your task is to complete this function
#Your should return the required output
class Solution:
def maxLen(self, n, arr):
#Code here
curr_sum, max_sum = 0, 0
prefix_sum = {}
for (i, curr) in enumerate(arr):
curr_sum += curr
if not curr_sum:
... | anishgupta675/Striver_SDE_Sheet | Arrays_Part_IV/Largest_Subarray_with_K_sum/Solution.py | Solution.py | py | 863 | python | en | code | 0 | github-code | 36 |
34972782273 |
from .helpers import flattenToSet, console
from .nodes import Nodes
from .locality import Locality
from .nodefeature import NodeFeatures
from .edgefeature import EdgeFeatures
from .computed import Computeds
from .text import Text
from ..search.search import Search
API_REFS = dict(
AllComputeds=("Computed", "compu... | aarek-eng/txtpy | txtpy/core/api.py | api.py | py | 5,762 | python | en | code | 1 | github-code | 36 |
201309717 | #name introduction
"""
Topic: Programming Logic and Design
Author: Viernes, Michael
Submitted to: Mr. Madrigalejos
"""
"""
# Getter functions (NOT USED FOR THE MOMENT FOR HOMEWORK 04).
def getName():
name = input("Your name: ")
return name
def getAge():
age = input("Your age: ")
ret... | MichaelViernes271/PLD-Homework-04 | name-intro.py | name-intro.py | py | 1,869 | python | en | code | 1 | github-code | 36 |
19226676283 | import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import dash_bootstrap_components as dbc
from app import app
from apps import general_functions as gf
#from apps_igf import func_gral
main_layo... | jGarciaGz/bocetos | gral2.py | gral2.py | py | 3,189 | python | en | code | 0 | github-code | 36 |
35396901278 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
from twitter.common.collections import OrderedSet
from twitter.common.dirutil.fileset import Fileset
from twitter.common.lang import Compatibility
def assert_list(obj... | fakeNetflix/square-repo-pants | src/python/pants/base/validation.py | validation.py | py | 1,754 | python | en | code | 0 | github-code | 36 |
3511362879 | import re
def name_score(name):
total = 0
for x in name:
total += ord(x)-ord('A')+1
return total
name_list = []
for name in open("p022_names.txt").read().split(","):
name = re.findall("\"(.*)\"",name)[0]
name_list.append(name)
name_list = sorted(name_list)
i=1
total = 0
for name i... | PetraVidnerova/euler | 22.py | 22.py | py | 396 | python | en | code | 0 | github-code | 36 |
27698021659 | # -*- coding: utf-8 -*-#
'''
# Name: dnn_regression-keras
# Description:
# Author: super
# Date: 2020/6/2
'''
from HelperClass2.MnistImageDataReader import *
from keras.models import Sequential
from keras.layers import Dense
import matplotlib.pyplot as plt
import os
os.environ['KMP_DUPLICATE... | Knowledge-Precipitation-Tribe/Neural-network | code/DNN/dnn_regression-keras.py | dnn_regression-keras.py | py | 1,937 | python | en | code | 3 | github-code | 36 |
74031939303 | import json
import sys
import aes_functions
import rsa_functions
from exceptions.Exceptions import IncorrectData
from socket_class import SOCKET_SIMPLE_TCP
def receiveAESMessage(s):
return s.receive(), s.receive(), s.receive()
def checkMessageGCM(key, iv, cif, mac):
res = aes_functions.decipherAES_GCM(key,... | makrron/simplified-kerberos-protocol | p-b.py | p-b.py | py | 4,633 | python | en | code | 0 | github-code | 36 |
71903311144 | import torch.nn as nn
import torch
import torch.optim as optim
import numpy as np
from torch.utils.data import DataLoader
from prior_learning.toy_env.toyloader import toyenv_Dataset
size = 8
seq_len = 32
categories = 16
batch_size = 128
feature_dim = 16
features = np.random.random((categories, feature_dim))
train_load... | buoyancy99/sap | prior_learning/toy_env/train_toy.py | train_toy.py | py | 1,633 | python | en | code | 1 | github-code | 36 |
28924241951 | #11238. Fibo
"""
피보나치 수와 최대공약수와 유사한 문제.
gcd(a,b)%M= gcd(a%M, b%M)이 성립하는진 사실 잘 모르겠지만..
그러지 않고선 메모리 초과가 날 것 같다.
gcd(Fib(m),Fib(n))=Fib(gcd(m,n))이라고 한다.
이에 대한 증명은 구글링을 통해 공부해보자. (재밌어보인다)
"""
big_num=1000000007
#행렬 a,b가 주어졌을때 그 행렬곱을 구하는 함수
def matmul(a,b):
row=len(a); common=len(b); column=len(b[0])
c=[[... | GuSangmo/BOJ_practice | PS/DP/matrix_DP/11238.py | 11238.py | py | 1,587 | python | ko | code | 0 | github-code | 36 |
42850936844 | from django.urls import path
from . import views
urlpatterns = [
path('register/', views.registerPage, name='register'),
path('login/', views.loginPage, name='login'),
path('logout/', views.logoutUser, name='logout'),
path('event_create/', views.event_create, name='event_create'),
path('event_manag... | Barnacle322/esoapp | eventsmanager/eventcreation/urls.py | urls.py | py | 525 | python | en | code | 0 | github-code | 36 |
31061019305 |
from ..utils import Object
class CancelUploadFile(Object):
"""
Stops the uploading of a file. Supported only for files uploaded by using uploadFile. For other files the behavior is undefined
Attributes:
ID (:obj:`str`): ``CancelUploadFile``
Args:
file_id (:obj:`int`):
... | iTeam-co/pytglib | pytglib/api/functions/cancel_upload_file.py | cancel_upload_file.py | py | 735 | python | en | code | 20 | github-code | 36 |
27977418436 | #!/usr/bin/env python
import config
import json
import requests
import sys
"""
Copyright (c) 2020, Cisco Systems, Inc. and/or its affiliates
Creates webhooks in a repo upon release using
GitHub API v3 POST /repos/:owner/:repo/hooks
Requires a file with repo names, one per line,
and a personal access token with access... | justwriteclick/gh-webhooks | create_webhook.py | create_webhook.py | py | 3,009 | python | en | code | 2 | github-code | 36 |
32694277113 | import forecast
import send_sms
from datetime import datetime
# Since the api call is made at 6:00 AM, hourly_forecast[0] is 6 AM
def main():
startTimes = [8, 8, 8, 8, 8]
endTimes = [18, 16, 18, 18, 10]
date = datetime.today()
dayOfWeek = date.weekday()
message = ""
phone_number = "+19257877379... | kailashbaas/Weather-SMS | main.py | main.py | py | 1,681 | python | en | code | 0 | github-code | 36 |
4579701597 | from django.http import JsonResponse
from django.views.generic import View
from .models import Scraper
from .validators import currency_serializer, get_valid_data
class ScraperAPI(View):
def get(self, *args, **kwargs):
currencies = Scraper.objects.all()
data = {"scrapers": list(map(currency_seri... | chvilches/rg-corp | api/views.py | views.py | py | 2,052 | python | en | code | 0 | github-code | 36 |
4108394927 | from sys import stdin
input = stdin.readline
moves = [[1, 0], [0, 1], [1, 1], [-1, 1]]
alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
for _ in range(5):
r, c = [int(x) for x in input().split()]
grid = [input()[:-1] for _ in range(r)]
words = set()
for _ in range(int(input())):
before = input()[:-1]
... | AAZZAZRON/DMOJ-Solutions | ecoo14r1p3.py | ecoo14r1p3.py | py | 1,243 | python | en | code | 1 | github-code | 36 |
32967623992 | from django import forms
from django.core.exceptions import ValidationError
from arcana_app.models import Driver, Truck, Trailer, Insurance, Freight
class DateInput(forms.DateInput):
input_type = 'date'
class TimeInput(forms.TimeInput):
input_type = 'time'
# class CheckboxInput(forms.CheckboxInput):
# ... | KamilNurzynski/Arcana | arcana_app/forms.py | forms.py | py | 2,848 | python | en | code | 1 | github-code | 36 |
29788143583 | import os
from extension.constants import ENV_OPTION_PREFIX
from extension.interface import ExtensionModules
class MockExtensionModules(ExtensionModules):
def inputs(self):
return []
def outputs(self):
return []
def generate_inputs(self, data):
pass
def generate_outputs(sel... | ofek/extensionlib | tests/test_interface.py | test_interface.py | py | 1,371 | python | en | code | 19 | github-code | 36 |
70212652263 | import keras
import keras_cv
import keras_core as keras
import tensorflow as tf
images = tf.ones(shape=(1, 512, 512, 3))
labels = {
"boxes": [
[
[0, 0, 100, 100],
[100, 100, 200, 200],
[300, 300, 100, 100],
]
],
"classes": [[1, 1, 1]],
}
model = keras_cv.... | kevinmccall/cs4 | finalproject/kerastest.py | kerastest.py | py | 804 | python | en | code | 0 | github-code | 36 |
9491434540 | import tests.hakoblog # noqa: F401
from hakoblog.db import DB
from hakoblog.loader.user import UserLoader
from hakoblog.action.blog import BlogAction
from hakoblog.loader.blog import BlogLoader
from tests.util import random_string, create_user, global_user
def test_create():
db = DB()
user = create_user()... | hakobe/hakoblog-python | tests/action/test_blog.py | test_blog.py | py | 1,116 | python | en | code | 10 | github-code | 36 |
36558187570 | import heapq
from typing import List
def topKFrequent(nums: List[int], k: int) -> List[int]: # Verified on Leetcode
frequencies = {}
for num in nums:
if num not in frequencies:
frequencies[num] = 1
else:
frequencies[num] += 1
temp = []
for num, f in frequencies... | InderdeepSync/grokking-coding-interview | top_k_elements/top_k_frequent_elements.py | top_k_frequent_elements.py | py | 646 | python | en | code | 1 | github-code | 36 |
25651671407 |
from typing import Iterable, Tuple, TypeVar, Callable, Any, List, Dict, Union
import math
import numpy as np
import os.path
import torch
import torchaudio
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
import warnings
import pandas as pd
import plots
from utils import validate_audio
# Useful ... | rfalcon100/seld_dcase2022_ric | dataset/dcase_dataset.py | dcase_dataset.py | py | 51,279 | python | en | code | 6 | github-code | 36 |
31429204981 | #2021.06.22
#소수 구하기
import math
def isprime(num) :
if num == 1 : return False
n = int(math.sqrt(num))
for i in range(2,n+1):
if num % i == 0:
return False
return True
s,e = map(int,input().split())
for k in range(s,e+1):
if isprime(k) :
print(k) | Minkeyyyy/OJ | BaekJoon/Step/기본수학2/_1929.py | _1929.py | py | 286 | python | en | code | 0 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.