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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
19423963567 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 23 19:44:34 2018
@author: whockei1
"""
import numpy as np, matplotlib.pyplot as plt, random, json, pickle, datetime, copy, socket, math
from scipy.stats import sem
import matplotlib.colors as colors
from scipy.ndimage import gaussian_filter as gauss # for smoothing ratem... | whock3/ratterdam | Beltway_Project/ratterdam_PermutationTests.py | ratterdam_PermutationTests.py | py | 16,496 | python | en | code | 0 | github-code | 36 |
35603667971 | import pika
import ssl
import json
class Dev:
def __init__(self):
ssl_context = ssl.SSLContext(ssl.PROTOCOL_TLSv1_2)
ssl_context.set_ciphers('ECDHE+AESGCM:!ECDSA')
url = f"amqps://ryanl:842684265santos@b-b86d75fd-5111-4c3c-b62c-b999e666760a.mq.us-east-1.amazonaws.com:5671"
paramet... | ryanbsdeveloper/opensource-chat | modules/chat/dev.py | dev.py | py | 993 | python | en | code | 2 | github-code | 36 |
26771615241 | #!/usr/bin/python3
""" Display the id of a Github user using Github's API """
import requests
import sys
def get_hub():
""" Get the id of the user using their personal access token password """
req = requests.get("https://api.github.com/user",
auth=(sys.argv[1], sys.argv[2]))
print(... | Alouie412/holbertonschool-higher_level_programming | 0x11-python-network_1/10-my_github.py | 10-my_github.py | py | 385 | python | en | code | 0 | github-code | 36 |
18832494510 | from collections import defaultdict
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
history = defaultdict(int)
for c in s:
history[c] += 1
for c in t:
history[c] -= 1
for v in history.values():
if v != 0:
return Fal... | parkjuida/leetcode | python/valid_anagram.py | valid_anagram.py | py | 434 | python | en | code | 0 | github-code | 36 |
6383195963 | def process_basic_information(model, data):
data["MinCoeff"] = model.MinCoeff
data["MaxCoeff"] = model.MaxCoeff
data["MinBound"] = model.MinBound
data["MaxBound"] = model.MaxBound
data["MinRHS"] = model.MinRHS
data["MaxRHS"] = model.MaxRHS
data["MaxQCCoeff"] = model.MaxQCCoeff
data["Min... | Gurobi/gurobi-modelanalyzer | src/gurobi_modelanalyzer/basic_analyzer.py | basic_analyzer.py | py | 1,218 | python | en | code | 11 | github-code | 36 |
39151761897 | import io
import json
import logging
from fdk import response
def handler(ctx, data: io.BytesIO = None):
name = "World"
try:
body = json.loads(data.getvalue())
name = body.get("name")
except (Exception, ValueError) as ex:
logging.getLogger().info('error parsing json payload: ' + s... | wlloyduw/SAAF | jupyter_workspace/platforms/oracle/hello_world/func.py | func.py | py | 576 | python | en | code | 25 | github-code | 36 |
22460147801 | import zipper
import arcpy
try:
# Inputs
dir = arcpy.GetParameterAsText(0)
zipfile = arcpy.GetParameterAsText(1)
mode = arcpy.GetParameterAsText(2)
shape_zipper = zipper.ShapefileZipper() # Create Class Instance
result = shape_zipper.zip_shapefile_directory(input_dir=dir, output_zipfile=zipfi... | igrasshoff/zip-shapefiles | ScriptToolZipDirShapefiles.py | ScriptToolZipDirShapefiles.py | py | 613 | python | en | code | 3 | github-code | 36 |
11360707561 | import sys
sys.stdin = open('단조.txt')
T = int(input())
for tc in range(1, T+1):
N = int(input())
data = list(map(int, input().split()))
tmp = []
lis = []
a = 2
result = -1
for i in range(len(data)):
for j in range(1+i, len(data)):
tmp.append(data[i]*data[j])
for ... | Jade-KR/TIL | 04_algo/수업/0903/단조.py | 단조.py | py | 582 | python | en | code | 0 | github-code | 36 |
75001876582 | # Given a list of student grades in the format:
# records - "[name]: [grade]"
# find the student with the highest avg grade
# all students have different avgs
# no spaces in names
# each grade is an int
# output = "John"
def solution(records):
# init gradebook dict {"student_name": {total: num, entries: num, "... | stkirk/algorithm-practice | assessments/db2_gradebook.py | db2_gradebook.py | py | 2,002 | python | en | code | 0 | github-code | 36 |
10222533594 | '''
Created on Nov 04, 2015 5:49:26 PM
@author: cx
what I do:
i parse the freebase dump lines readed by FreebaseDumpReader
what's my input:
what's my output:
'''
import json
class FreebaseDumpParserC(object):
def __init__(self):
self.TypeEdge = "<http://rdf.freebase.com/ns/type.... | xiaozhuyfk/AMA | query_processor/FreebaseDumpParser.py | FreebaseDumpParser.py | py | 6,212 | python | en | code | 0 | github-code | 36 |
39416108196 | #genral tree implementation
class Tree:
Root=None
toSearch=None
locy=0
def __init__(self):
self.Root=Node(int(input("enter the value of root node")))
def insert(self,value,i):
if self.Root==None:
self.Root=Node(value)
return
while True:
p... | USAMAWIZARD/datastructure | Python/Tree/Linked List implementation/Binnary Tree/Binnary Search Tree/Binnary search Tree.py | Binnary search Tree.py | py | 1,727 | python | en | code | 1 | github-code | 36 |
21491336327 |
import tensorflow as tf
import random
from tensorflow.contrib import rnn
from tensorflow.examples.tutorials.mnist import input_data
#from cell import ConvLSTMCell
timesteps=28
batch_size=128
total_step=10000
class Minist(object):
def __init__(self, timesteps=0, batch_size=0,total_step=0, learning_rate=1):
... | amaltarifa100/AutoNew | prepareNetwork.py | prepareNetwork.py | py | 6,693 | python | en | code | 0 | github-code | 36 |
9411931518 | # Primary game file
import sys, pygame
from pygame.locals import *
display_surf = pygame.display.set_mode((800, 600))
pygame.display.set_caption('Hello Pygame World!')
def run():
"""This allows for the running of the game from outside the package"""
print("Started trying to run")
# main game loop
whil... | mlansari/ShellShockClone | ShellShockClone/game.py | game.py | py | 460 | python | en | code | 0 | github-code | 36 |
12369223367 | """Add viewed column to batch_job
Revision ID: b23863a37642
Revises: 72a8672de06b
Create Date: 2018-12-31 17:13:54.564192
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b23863a37642'
down_revision = '72a8672de06b'
branch_labels = None
depends_on = None
def ... | golharam/NGS360-FlaskApp | migrations/versions/b23863a37642_add_viewed_column_to_batch_job.py | b23863a37642_add_viewed_column_to_batch_job.py | py | 802 | python | en | code | 3 | github-code | 36 |
39112326593 | import torch
from torch.utils.data import TensorDataset, DataLoader, RandomSampler
from transformers import AutoTokenizer
from sklearn.model_selection import train_test_split
'''
Read the data from a pre-processed CADEC dataset and process them into a format compatible with BERT
'''
class DataProcessor():
"""
... | allepalma/Text-mining-project | bert_data_creation.py | bert_data_creation.py | py | 10,521 | python | en | code | 0 | github-code | 36 |
3146953868 | from setuptools import setup, find_packages
from os import path
DIR = path.abspath(path.dirname(__file__))
description = """SharePy will handle authentication for your SharePoint Online/O365 site, allowing
you to make straightforward HTTP requests from Python. It extends the commonly used Requests module,
meaning tha... | JonathanHolvey/sharepy | setup.py | setup.py | py | 1,452 | python | en | code | 165 | github-code | 36 |
30695862500 |
def solve(feet):
# 1 foot = 12 inch
inch = feet * 12
# 1 mile = 5280 feet
mile = feet / 5280
# 1 mile = 3 yard
yard = mile * 3
print(inch)
print(mile)
print(yard)
solve(int(input("Enter foot to convert to inch, yard and mile: "))) | nooruddin-rahmani/python-tasks | 15-Distance_Units.py | 15-Distance_Units.py | py | 276 | python | en | code | 1 | github-code | 36 |
27768921922 | import pandas as pd
from bs4 import BeautifulSoup
import requests
import random
import time
url='https://www.tianyancha.com/search?base=bj'
headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36'}
response = requests.get(url,headers=heade... | kshsky/PycharmProjects | case/crawler/TianYanCha.py | TianYanCha.py | py | 3,711 | python | en | code | 0 | github-code | 36 |
2791422043 | import numpy as np
GRAV = -9.8
R_COEF_TABLE = np.array([0.73, 0.73, -0.92]) # restitution coefficient of table
class Tracker:
prediction = None
def __init__(self, dt):
raise NotImplementedError()
def update(self, z_measured, dt):
raise NotImplementedError()
def get_state(self, dt=... | carlos-cardoso/robot-skills | kalman_tracker/src/python_tracker.py | python_tracker.py | py | 7,735 | python | en | code | 23 | github-code | 36 |
39430381428 | import unittest
from helpers import FakeReader, a_wait
import grole
class TestEncoding(unittest.TestCase):
def setUp(self):
self.req = grole.Request()
self.req.data = b'{"foo": "bar"}'
def test_body(self):
self.assertEqual(self.req.body(), '{"foo": "bar"}')
def test_json(self):
... | witchard/grole | test/test_request.py | test_request.py | py | 2,226 | python | en | code | 5 | github-code | 36 |
6817402374 | from keras.applications.vgg16 import preprocess_input
from keras.preprocessing.image import ImageDataGenerator
# models
from keras.applications.vgg16 import VGG16
from keras.models import Model
# clustering and dimension reduction
# from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
... | AnmolGarg98/KNN_image-classification | KNN_VGG16_pretrained_features.py | KNN_VGG16_pretrained_features.py | py | 6,453 | python | en | code | 0 | github-code | 36 |
73349078504 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | IlyaSergeev/taxi_service | TaxiService/migrations/0001_initial.py | 0001_initial.py | py | 1,872 | python | en | code | 0 | github-code | 36 |
18050194084 | # food restaurant delivery
order ={
"client": "John Doe",
"item": "Salad",
"quantity":8,
"price":15.00
}
order["total"]=order["price"]*order["quantity"]
if order["quantity"]>7:
order["price"]*=0.8 #offer 20% discount for orders from 8 pcs
order["total"]=order["price"]*order["quantity"]
print ... | jvasea1990/dictionaries | food restaurant delivery.py | food restaurant delivery.py | py | 895 | python | en | code | 0 | github-code | 36 |
9360337388 | import fire
from flask import Flask, jsonify, request
from flask_cors import CORS
from flask_restful import Resource, Api
from graph_knn import load_entity_knn, load_multi_knn
class Knn(Resource):
def __init__(self, **kwargs):
self.knn = kwargs['knn']
def post(self):
json_data = request.get_... | graph-embeddings/pbg-helper | knn-graph-viewer/back/api.py | api.py | py | 4,457 | python | en | code | 21 | github-code | 36 |
36656977883 | def read_polynomial(num_variables, degree):
"""
Reads a multilinear polynomial from the user.
Args:
num_variables (int): The number of variables in the polynomial.
degree (int): The degree of the polynomial.
Returns:
A list containing the coefficients of the monomials in the po... | shivamsinoliyainfinity/Polynomial_restrictor | trial2.py | trial2.py | py | 2,771 | python | en | code | 0 | github-code | 36 |
10579988765 | #a = 4678678678
#b = 4678678678
#import numpy as np
#a = np.int64(a)
#b = np.int64(b)
#c = a + b
#print(2**32 - 1)
def shuffle_seed(array):
import numpy as np
a = np.random.randint(0,4294967296, dtype=np.int64)
np.random.seed(a)
shuffle_seed = np.random.permutation(array)
return shuffle_seed, a
ar... | lightarum/my_first_project | project_0/test.py | test.py | py | 467 | python | en | code | 4 | github-code | 36 |
16490037129 | #!/usr/bin/env python
# coding: utf-8
# In[7]:
import pandas as pd
body_df = pd.read_csv('./body.csv')
# In[8]:
# Q1. 전체데이터의 수축기혈압(최고) - 이완기혈압(최저)의 평균을 구해보세요.
# In[24]:
result = (body_df['수축기혈압(최고) : mmHg']-body_df['이완기혈압(최저) : mmHg']).mean()
print(result)
# In[9]:
# Q2. 50~59세의 신장평균을 구해보세요
# In[32]... | polkmn222/Statistic-Python | 0622/대한민국 체력장 데이터.py | 대한민국 체력장 데이터.py | py | 3,145 | python | ko | code | 0 | github-code | 36 |
73118844584 | import socket
my_dict = {"python": "питон", "very": "очень", "like": "нравится"}
class TcpServer:
def __init__(self, host, port):
self.host = host
self.port = port
self._socket = None
self._runnning = False
def run(self):
self._socket = socket.socket(socket.AF_INET, ... | IlyaOrlov/PythonCourse2.0_September23 | Practice/achernov/module_13/task_1_server.py | task_1_server.py | py | 1,395 | python | en | code | 2 | github-code | 36 |
10256295781 | import ast
import json
import cv2
from deepface import DeepFace
from django.contrib.auth import login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import UserPassesTestMixin
from django.db import connections
from django.db.utils import ProgrammingError
from django.h... | lekarus/SQLQueries | web_app/app/views.py | views.py | py | 12,185 | python | en | code | 0 | github-code | 36 |
21414967137 | from colour import Color
import cv2 as cv2
import numpy as np
a= input('enter a color=')
b = Color(a)
c = b.hsl
d = tuple(255*x for x in c)
print(d)
print(list(d))
img = cv2.imread('color.png')
hsl1 = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
green = np.uint8([[list(d)]])
hsv_green = cv2.cvtColor(green,cv2.COLOR_BGR2HSV)
... | DESK-webdev/team_webdev | img_pros/star_4.py | star_4.py | py | 657 | python | en | code | 0 | github-code | 36 |
12982777466 | import h5py
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter1d
from scipy.ndimage.morphology import distance_transform_edt
from scipy.stats import linregress
from skimage.future import graph
from skimage.measure import regionprops
from sklearn.linear_model... | kreshuklab/drosophila_embryo_cells | scripts/predict_fate.py | predict_fate.py | py | 8,815 | python | en | code | 0 | github-code | 36 |
25715720301 | from functools import partial
from typing import Dict, Callable
from squirrel.driver.msgpack import MessagepackDriver
from squirrel.serialization import MessagepackSerializer
from squirrel.store import SquirrelStore
from squirrel.iterstream import IterableSource, Composable
import numpy as np
N_SAMPLES = 2500
MAX_VA... | merantix-momentum/gnn-bvp-solver | gnn_bvp_solver/preprocessing/split_and_normalize.py | split_and_normalize.py | py | 7,373 | python | en | code | 12 | github-code | 36 |
43362574911 | from collections import deque
def bfs_shortest_path(adj_matrix, src, dest):
dist = [float('inf')] * n
dist[src] = 0
q = deque()
q.append(src)
while q:
curr = q.popleft()
if curr == dest:
return dist[dest]
for neighbor in range(n):
if adj_matrix[c... | slayzerg01/yandex-training-3.0 | 36/task36.py | task36.py | py | 635 | python | en | code | 0 | github-code | 36 |
22356028668 | import pickle
import json
import sys
from sklearn.feature_extraction.text import CountVectorizer
# Loading the saved model
loaded_model = pickle.load(open('C:/Users/abhis/OneDrive/Desktop/UsingSpawn/logreg_model.pkl', 'rb'))
# Loading the CountVectorizer vocabulary
loaded_vec = CountVectorizer(vocabulary=pickle.loa... | abtyagi15/Automatic-Ticket-Classification | classify.py | classify.py | py | 1,499 | python | en | code | 0 | github-code | 36 |
37012746527 | from collections import deque
from typing import List
class Solution:
@staticmethod
def maxSlidingWindow(nums: List[int], k: int) -> List[int]:
if not nums or len(nums) < k:
raise ValueError()
window = deque()
res = []
for i in range(len(nums)):
while w... | Manu87DS/Solutions-To-Problems | LeetCode/Python Solutions/Sliding Window Maximum/sliding.py | sliding.py | py | 1,559 | python | en | code | null | github-code | 36 |
22292471973 | '''
동빈나 럭키 스트레이트
입력예제 123402 답 LUCKY
7755 답 READY
'''
s=input()
n=len(s)
left=s[:n//2]
right=s[n//2:]
left_sum=sum([int(i) for i in left])
right_sum=sum([int(i) for i in right])
if left_sum==right_sum:
print('LUCKY')
else:
print('READY')
# 답
n=input()
x=len(n)
summary=0
for i in range(x//2):
summary... | 98hyun/algorithm | implement/b_20.py | b_20.py | py | 472 | python | en | code | 0 | github-code | 36 |
17952993717 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 14 13:57:29 2019
@author: Witold Klimczyk
# ICEM
foil = Airfoil(filein = r'E:\propeller\mh_airofils\mh117/mh117.txt', t = 0.001, chord = 0.2)
foil.runFluent(15,.2,1)#
# XFOIL
foil2 = Airfoil(ftype = 'XFOIL', filein = r'E:\AIRFOIL\airfoils/naca0012.txt', t = 0.001, chord ... | Witekklim/propellerDesign | airfoil.py | airfoil.py | py | 30,685 | python | en | code | 1 | github-code | 36 |
41068970621 | import matplotlib.pyplot as plt
import random
import matplotlib
from matplotlib import font_manager
import numpy as np
# 设置图片大小及像素
plt.figure(figsize=(20, 8), dpi=80)
# 设置中文
my_font = font_manager.FontProperties(
fname='/System/Library/Fonts/Hiragino Sans GB.ttc')
# 生成数据
x = range(0, 120)
random.seed(10) # 生成随机种子... | XiongZhouR/python-of-learning | matplotlib/plot_1.py | plot_1.py | py | 1,047 | python | zh | code | 1 | github-code | 36 |
72221051305 | '''
Problem :- Vaccine Production
Platform :- Codechef
Link :- https://www.codechef.com/DEC20B/problems/VACCINE1
Problem statement :- Increasing COVID cases have created panic amongst the people of Chefland,
so the government is starting to push for production of a vaccine.
It has to report to the media abou... | ELLIPSIS009/100-Days-Coding-Challenge | Day_4/Vaccine Production/vaccine.py | vaccine.py | py | 1,216 | python | en | code | 0 | github-code | 36 |
10993947420 | import sys, os, argparse, yaml
from datasets.config.config import data_analysis_parameters
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cbook as cbook
def analysis_kitti(args):
# Load the data
flow_volume = []
masks = []
height,... | sushlokshah/new_approach | general_file/analysis.py | analysis.py | py | 2,885 | python | en | code | 0 | github-code | 36 |
11352712717 | import json
import requests
import random
def filmes_assistidos_json():
with open('../DadosJSON/filmesAssistidos.json', 'r') as json_file:
dados = json.load(json_file)
return dados
def preferencias_json():
with open('../DadosJSON/preferencias.json', 'r') as json_file:
dados = json.load(... | CassioFig/Sistema-Recomendacao | backend/recomendacao.py | recomendacao.py | py | 4,167 | python | pt | code | 1 | github-code | 36 |
72835791463 | import sqlite3
import click
from flask import current_app, g
from flask.cli import with_appcontext
def get_db():
if 'db' not in g:
g.db = sqlite3.connect(
current_app.config['DATABASE'],
detect_types=sqlite3.PARSE_DECLTYPES
)
g.db.row_factory = sqlite3.Row
... | yukoga/flask_sample_001 | flaskr/db.py | db.py | py | 794 | python | en | code | 0 | github-code | 36 |
70562902825 | import configparser
import os
class AWSAnmeldung():
def __init__(self,benutzer,account):
self.benutzer = benutzer
self.account = account
configName = "credentials"
configPfad = os.path.join("/","home",self.benutzer,".aws",configName)
self.config = configparser.ConfigParser(... | charlenebertz/fhb-ws1516-sysint | target/dist/fhb-ws1516-sysint-1.0.dev0/build/lib/config.py | config.py | py | 911 | python | de | code | 0 | github-code | 36 |
32752270722 | import tempfile
import unittest
import pytest
from os import environ
from os.path import join, isdir, getmtime
from time import time
from selenium.webdriver.common.timeouts import Timeouts
from selenium.common.exceptions import TimeoutException
from tbselenium import common as cm
from tbselenium.test import TBB_PATH
f... | webfp/tor-browser-selenium | tbselenium/test/test_tbdriver.py | test_tbdriver.py | py | 5,565 | python | en | code | 483 | github-code | 36 |
29739664502 | from random import randrange
class Game:
def init(self):
self.distance = 230
self.shots = 0
self.running = True
self.club = False
self.choice = False
def set_username(self):
self.username = input('welcome to niggaboy golf. Enter your username: ')
return s... | Syncxv/golf-uni-assignment | golf-game.py | golf-game.py | py | 2,933 | python | en | code | 0 | github-code | 36 |
2999426198 | '''
deleteLater() # 在代码执行完之后删除对象
'''
################################
# PyQt5中文网 - PyQt5全套视频教程 #
# https://www.PyQt5.cn/ #
# 主讲: 村长 #
################################
from PyQt5.Qt import *
import sys
class Window(QWidget):
def __init__(self):
super().__init__()
... | litteprience/pyqt5-210401 | first/1.4对象删除.py | 1.4对象删除.py | py | 1,893 | python | zh | code | 0 | github-code | 36 |
37635067200 | # Given the coordinates of two rectilinear rectangles in a 2D plane, return the total area covered by the two rectangles.
# The first rectangle is defined by its bottom-left corner (ax1, ay1) and its top-right corner (ax2, ay2).
# The second rectangle is defined by its bottom-left corner (bx1, by1) and its top-right ... | sunnyyeti/Leetcode-solutions | 223. Rectangle Area.py | 223. Rectangle Area.py | py | 1,093 | python | en | code | 0 | github-code | 36 |
41924896443 | import sys
import sqlite3
from orders_management import*
#menu for managing customer
class order_menu():
def __init__(self):
self.running = None
self.active_detail = orders_manage()
def run_menu(self,choice):
if choice == 1:
order_date = input("please enter th... | henrymlongroad/computing-coursework.exe | Implementation/order_menu.py | order_menu.py | py | 3,649 | python | en | code | 0 | github-code | 36 |
7677909103 | from controller import Robot, Motor, DistanceSensor
import numpy as np
from collections import deque
# import opencv
import cv2 as cv
MAX_SPEED = 47.6
WHEEL_RADIUS = 21
INF = float('inf')
class ChaseFoodState:
def __init__(self, r):
self.r=r
def check_transition(self):
if self.r.has_bum... | Polifack/Subsummed-Architecture-Webots | controllers/khepera4_controller/khepera4_controller.py | khepera4_controller.py | py | 13,750 | python | en | code | 0 | github-code | 36 |
19389873266 | import sqlite3
insert()
def insert(cur,name,adress,phone,email):
try:
cur.execute(''' INSERT INTO Contact (name,adress,phone,email)
VALUES (?,?,?,?)
''',(name,adress,phone,email))
print('Sucess: The contact:',(name,adress,phone,email),'has been added to the database')
except:
... | Mysticboi/Contact_Database | test.py | test.py | py | 1,625 | python | en | code | 0 | github-code | 36 |
28066573272 | n = int(input())
data = list(map(int, input().split()))
data.sort()
rest = 0
sum = 0
if n == 1:
print(data[0])
else:
for i in range(n):
sum += data[i] + rest
rest += data[i]
print(sum) | hwanginbeom/algorithm_study | 1.algorithm_question/1.greedy/1. ATM_Seonyeong.py | 1. ATM_Seonyeong.py | py | 198 | python | en | code | 3 | github-code | 36 |
43041165646 | import logging
import os
import snyk
# Set up logger
logger = logging.getLogger(__name__)
logger.setLevel(os.getenv("LOG_LEVEL", default="INFO"))
def get_org_admins(org):
"""
Returns a list of org admins
:param org: the org object
:return: a list of org admins
"""
logger.debug("Getting list ... | snyk-playground/snyk-org-slackbot | snyk_slackbot/api.py | api.py | py | 4,589 | python | en | code | 0 | github-code | 36 |
16046372668 | """Pakcage Metadata."""
import pathlib
from setuptools import setup
# The directory containing this file
HERE = pathlib.Path(__file__).parent
# The text of the README file
README = (HERE / "README.md").read_text()
# This call to setup() does all the work
setup(
name="bank-of-england",
version="0.0.1",
de... | ronaldocpontes/bank-of-england | setup.py | setup.py | py | 1,019 | python | en | code | 2 | github-code | 36 |
11602597643 | import streamlit as st
import time
import re
import chardet
import pandas as pd
import numpy as np
import geopandas as gpd
import matplotlib.pyplot as plt
from matplotlib.patches import ConnectionPatch
from functools import wraps
from shapely.geometry import Point
def main():
if 'run' not in st.session_state:
... | spiritdncyer/region-divsion-streamlit | demo-regionDiv.py | demo-regionDiv.py | py | 21,686 | python | en | code | 0 | github-code | 36 |
74928155943 | from tkinter import *
master = Tk()
cv_width = 300
cv_height = 300
def diagonal_square(i, a): # i = represents the squares position on a diagonal line; a = size of the square
canvas.create_rectangle(i*a, i*a, a+i*a, a+i*a, fill = "purple")
canvas = Canvas(width=cv_width, height=cv_height)
canvas.pack()
def di... | greenfox-zerda-lasers/tamasc | week-04/day-3/litte_squares.py | litte_squares.py | py | 486 | python | en | code | 0 | github-code | 36 |
73087528423 | # -*- coding: utf-8 -*-
# @Author: ahmedkammorah
# @Date: 2019-04-04 15:54:42
# @Last Modified by: Ahmed kammorah
# @Last Modified time: 2019-04-08 22:58:45
from enum import Enum
import json
from MainService.main.email_provider_connector import RESPONSE_STATE
from MainService.main.ak_ep_services import AKEmailSe... | AhmedKammorah/AKEmailService | MainService/main/ak_main_email_service.py | ak_main_email_service.py | py | 5,942 | python | en | code | 0 | github-code | 36 |
955800912 | pkgname = "python-snowballstemmer"
pkgver = "2.2.0"
pkgrel = 0
build_style = "python_module"
hostmakedepends = ["python-setuptools"]
depends = ["python"]
pkgdesc = "Snowball stemming library collection for Python"
maintainer = "q66 <q66@chimera-linux.org>"
license = "BSD-3-Clause"
url = "https://github.com/shibukawa/sn... | chimera-linux/cports | main/python-snowballstemmer/template.py | template.py | py | 544 | python | en | code | 119 | github-code | 36 |
24938208176 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# filename: tietuku.py
# modified: 2019-03-30
"""
贴图库 api 类
"""
__all__ = [
"TietukuClient",
]
import os
import time
from io import BytesIO
from .base import BaseClient
from .utils import get_links_cache_json, save_links_cache_json
from ..utils.log import cout... | pkuyouth/pkuyouth-html-coder | htmlcoder/core/client/tietuku.py | tietuku.py | py | 4,184 | python | en | code | 5 | github-code | 36 |
7870451227 | from datetime import datetime
import requests
from bs4 import BeautifulSoup
from uk_bin_collection.uk_bin_collection.common import *
from uk_bin_collection.uk_bin_collection.get_bin_data import \
AbstractGetBinDataClass
# import the wonderful Beautiful Soup and the URL grabber
class CouncilClass(AbstractGetBinDa... | robbrad/UKBinCollectionData | uk_bin_collection/uk_bin_collection/councils/WiganBoroughCouncil.py | WiganBoroughCouncil.py | py | 3,612 | python | en | code | 51 | github-code | 36 |
16442806200 | # from utils.txt_file_ops import *
from utils.Database_conn import *
from object.base_class import *
from loguru import logger
from tabulate import tabulate
from datetime import datetime
class Subject:
def __init__(self, sub_id='', sub_name=''):
self.__sub_id = sub_id
self.__sub_name = sub_name
... | thanhtugn/python_core_thanhtugn | Lesson_14/object/subject.py | subject.py | py | 5,166 | python | en | code | 1 | github-code | 36 |
5877766545 | # -*- coding:utf-8 -*-
"""
说明:
这里实现了单篇文章和专栏的爬取。
article 根据article_id发起网络请求,返回的json文件中包含文章的基本信息和文章主体内容,解析文章的基本信息生成一个msg
字典对象,再将文章主体解析成BeautifulSoup对象,连同msg字典一起交给document模块下的Article解析并保存成markdown文件。
根据专栏id获得专栏下的文章所有文章id后,逐一看成是单一的文章,由article爬取。
"""
from zhihu_spider.util import net, document
from zhihu_spider.... | Arlenelalala/ArxivPaper | zhihu_spider/article/__init__.py | __init__.py | py | 4,672 | python | en | code | 7 | github-code | 36 |
70571115625 | import unittest
import logging
import pdb
import random
def binary_search_recursive(l, value, low=0, high=None):
"""Return True if value is in sorted list l."""
if high is None:
high = len(l) - 1
if high < low:
return False
middle = (low + high) / 2
#logging.warning("Searching fo... | charlax/IntroductionToAlgorithms | Chapter2/exercise-2.3-4.py | exercise-2.3-4.py | py | 1,869 | python | en | code | 4 | github-code | 36 |
74289510182 | import re # regex
from animius.Utils import sentence_to_index
class Parse:
@staticmethod
def cornell_cleanup(sentence):
# clean up html tags
sentence = re.sub(r'<.*?>', '', sentence.lower())
# clean up \n and \r
return sentence.replace('\n', '').replace('\r', '')
@stati... | gundamMC/animius | animius/Chatbot/ParseData.py | ParseData.py | py | 4,106 | python | en | code | 16 | github-code | 36 |
43051538216 | import numpy as np
import networkx as nx
import random as pr
import matplotlib.pyplot as pl
import pp
import time
import copy
import sys
import os
import PIL
from Tkinter import *
import tkFileDialog
import tkSimpleDialog
import tkMessageBox
from fomite_ABM import *
from math import *
from PIL import Image
from PIL imp... | malhayashi/childcarefomites | fomite_ABM_GUI.py | fomite_ABM_GUI.py | py | 23,870 | python | en | code | 0 | github-code | 36 |
19715634890 | import networkx as nx
from networkx.algorithms import isomorphism
import argparse
import pickle
from tqdm import tqdm
"""get nx graphs from remapped_fp_file"""
def get_single_subgraph_nx(frequent_subgraph_lines):
'''
create graph from gSpan data format
'''
graph_id = frequent_subgraph_lines[0].stri... | MikeWangWZHL/Schema_Composition | gSpan_official/gSpan6/filter_mined_graph.py | filter_mined_graph.py | py | 4,396 | python | en | code | 1 | github-code | 36 |
2723556029 | #!/usr/bin/python3
import images
import os
import time
import random
# Replace RPG starter project with this code when new instructions are live
images.title()
time.sleep(5)
os.system("clear")
steel_count = 0
iron_count = 0
tin_count = 0
pewter_count = 0
def showInstructions():
# print a main menu and the comma... | chadkellum/mycode | project2rpg.py | project2rpg.py | py | 18,358 | python | en | code | 0 | github-code | 36 |
952551392 | pkgname = "libice"
pkgver = "1.1.1"
pkgrel = 0
build_style = "gnu_configure"
hostmakedepends = [
"pkgconf",
"automake",
"libtool",
"xorg-util-macros",
"xtrans",
]
makedepends = ["xorgproto", "xtrans"]
pkgdesc = "Inter Client Exchange (ICE) library for X"
maintainer = "q66 <q66@chimera-linux.org>"
li... | chimera-linux/cports | main/libice/template.py | template.py | py | 641 | python | en | code | 119 | github-code | 36 |
15452563301 | from base import VisBase
from helper import get_heat_map
import os
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import torch
import torch.nn.functional as F
import math
import numpy as np
import matplotlib as mpl
from mpl_toolkits.axes_grid1 import make_axes_locatable
from mpl_toolkits.axes_... | hackerekcah/ESRelation | vis_proj/vis_proj.py | vis_proj.py | py | 13,438 | python | en | code | 0 | github-code | 36 |
11045304899 | from datetime import datetime, timedelta
from functools import reduce
from django import db
from django.conf import settings
from django.db import models
from django.db.models import Sum
from django.contrib.auth import get_user_model
from jalali_date import date2jalali
from dmo.models import DmoDay, Dmo
User = get_us... | mohsen-hassani-org/teamche | todo_list/models.py | models.py | py | 6,959 | python | en | code | 0 | github-code | 36 |
35048984657 | import os
# Directory containing the captured video files
video_directory = "captured_video"
# Function to rename files with sequential names
def rename_files(directory):
if not os.path.exists(directory):
print(f"Directory '{directory}' does not exist.")
return
file_list = os.listdir(director... | LandonDoyle7599/CS5510-Assignment2 | renameFiles.py | renameFiles.py | py | 1,064 | python | en | code | 0 | github-code | 36 |
37738454658 | __docformat__ = 'restructuredtext en'
from collections import OrderedDict
import six
from six import string_types
from geoid.util import isimplify
from geoid.civick import GVid
from geoid import parse_to_gvid
from dateutil import parser
from sqlalchemy import event
from sqlalchemy import Column as SAColumn, Integer, U... | CivicSpleen/ambry | ambry/orm/partition.py | partition.py | py | 48,749 | python | en | code | 5 | github-code | 36 |
10261032869 | # from multiprocessing import Process, Queue
from queue import Queue
import threading
from crawler.reviewCrawler import ReviewCrawler
from crawler.userCrawler import UserCrawler
import json
from GameListCrawler import getGameList
import time
from utils.redisUtis import RedisUtil
from utils.sqlUtils import dbconnector
... | Alex1997222/dataming-on-steam | SteamCrawler/main.py | main.py | py | 4,442 | python | en | code | 2 | github-code | 36 |
31187142575 | def reverse(L, a):
n = len(L)
if a < n//2:
L[a], L[-1-a] = L[-1-a], L[a]
reverse(L, a+1)
L = list(input()) # 문자열을 입력받아 리스트로 변환
reverse(L, 0)
print(''.join(str(x) for x in L))
#재귀적으로 리스트 뒤집기를 한다면 양끝단 -> 그다음 -> 그다음 -> ... -> 가운데 순으로
#reverse를 호출하고, 결과값은 역순으로 나온다.
#재귀적 리스트 뒤집기의 바닥 조건은 a < n//2 이다. a가 n//2보다 크거나 같... | Ha3To/2022_2nd | python_workspace/Reverse_Str_Recursion.py | Reverse_Str_Recursion.py | py | 543 | python | ko | code | 0 | github-code | 36 |
12485539130 | num = int(input())
odd_sum = 0
max_odd = -999999999999999
min_odd = 999999999999999
even_sum = 0
max_even = -999999999999999
min_even = 999999999999999
for i in range(1, num + 1):
in_num = float(input())
if i % 2 != 0:
odd_sum += in_num
if in_num > max_odd:
max_odd ... | SimeonTsvetanov/Coding-Lessons | SoftUni Lessons/Python Development/Python Basics April 2019/Lessons and Problems/11 - For Loop Exercise/03. Odd Even Position .py | 03. Odd Even Position .py | py | 1,054 | python | en | code | 9 | github-code | 36 |
25947439528 | import os
import sqlite3
from datetime import datetime, timedelta
import telebot
bot = telebot.TeleBot(os.getenv("BOT_TOKEN"))
memes_chat_id = int(os.getenv("MEMES_CHAT_ID"))
flood_thread_id = int(os.getenv("FLOOD_THREAD_ID", 1))
memes_thread_id = int(os.getenv("MEMES_THREAD_ID", 1))
conn = sqlite3.connect("memes.db... | dzaytsev91/tachanbot | cron_job_memes_count.py | cron_job_memes_count.py | py | 1,239 | python | en | code | 2 | github-code | 36 |
6084390921 | # is unique: Implement an algorithm to determine
# if a string has all unique characters. What if you
# cannot use additional data structures?
# since we check if characters in a string are not duplicated
# we can use a boolean hash map to check if that character
# already exists
def is_unique(string):
# ASCII -... | phuclinh9802/data_structures_algorithms | chapter 1/1_1.py | 1_1.py | py | 1,011 | python | en | code | 0 | github-code | 36 |
12573577450 | def based(n, b, k):
a = [0] * k
if n < 0:
return 0
if b <= 1:
return 1
x = n
counter = 0
while n >= b:
q = n / b
t = n - q * b
a[counter] = t
n = q
counter += 1
a[counter] = n
final_num = ""
for i in range(counter):
h = ... | AG-Systems/programming-problems | google-foobar/hey_i_already_did_that.py | hey_i_already_did_that.py | py | 1,896 | python | en | code | 10 | github-code | 36 |
18903357112 | from abc import ABCMeta
from json import dumps
from logging import getLogger
from uchicagoldrtoolsuite import log_aware
from ..materialsuite import MaterialSuite
__author__ = "Brian Balsamo, Tyler Danstrom"
__email__ = "balsamo@uchicago.edu, tdanstrom@uchicago.edu"
__company__ = "The University of Chicago ... | uchicago-library/uchicagoldr-toolsuite | uchicagoldrtoolsuite/bit_level/lib/structures/abc/accessioncontainer.py | accessioncontainer.py | py | 7,200 | python | en | code | 0 | github-code | 36 |
8757599845 | # -*- coding: utf-8 -*-
from odoo import models, fields, api, _
from odoo.exceptions import AccessError
class OFSaleConfiguration(models.TransientModel):
_inherit = 'sale.config.settings'
of_deposit_product_categ_id_setting = fields.Many2one(
'product.category',
string=u"(OF) Catégorie des a... | odof/openfire | of_sale/models/sale_config_settings.py | sale_config_settings.py | py | 10,803 | python | en | code | 3 | github-code | 36 |
24801071982 | import numpy as np
from scipy import spatial
import matplotlib.pyplot as plt
def fft_smoothing(coords):
#TODO: More relevant procedure required
signal = coords[:,0] + 1j*coords[:,1]
# FFT and frequencies
fft = np.fft.fft(signal)
freq = np.fft.fftfreq(signal.shape[-1])
# filter
cu... | aron0093/cytopath | cytopath/plotting_functions/plot_alignment.py | plot_alignment.py | py | 5,486 | python | en | code | 10 | github-code | 36 |
22365841878 | from django import forms
from .models import UserProfile
class UserProfileForm(forms.ModelForm):
class Meta:
model = UserProfile
exclude = ['user']
def __init__(self, *args, **kwargs):
"""
Add placeholders and classes, remove auto-generated
labels and set autofocus on ... | folarin-ogungbemi/Gosip-Bookstore | profiles/forms.py | forms.py | py | 1,120 | python | en | code | 1 | github-code | 36 |
23713128222 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import yaml
from yaml.loader import SafeLoader
import subprocess
import netifaces
import argparse
import os
import time
import fcntl
'''yaml
if_list:
- ipaddr: 10.90.3.37
prefix: 24
mac: 52:54:84:11:00:00
gateway: 10.90.3.1
- ipaddr: 192.168.100.254
... | adamxiao/adamxiao.github.io | openstack/asserts/kylin-vr.py | kylin-vr.py | py | 7,510 | python | en | code | 0 | github-code | 36 |
15136620120 | import time
import warnings
import mmcv
import torch
from mmcv.runner import RUNNERS, IterBasedRunner, IterLoader, get_host_info
@RUNNERS.register_module()
class MultiTaskIterBasedRunner(IterBasedRunner):
def train(self, data_loader, **kwargs):
self.model.train()
self.mode = 'train'
sel... | CVIU-CSU/PSSNet | mmseg/core/runners/multi_task_iterbased_runner.py | multi_task_iterbased_runner.py | py | 3,324 | python | en | code | 1 | github-code | 36 |
43951125487 | test_cases = int(input())
all_times = []
displayed_time = 0
for test in range(test_cases):
current_time = int(input())
all_times.append(current_time)
# even number of presses means watch is still running
if test_cases % 2 != 0:
print("still running")
# odd number means we have to add up all the times
# ... | EthanCloin/kattis_solutions | Stopwatch/stopwatch.py | stopwatch.py | py | 648 | python | en | code | 0 | github-code | 36 |
26590188131 | import imp
from ecs import World, Entity
from coolClasses import *
def entityAtPos(world : World, x, y, *Components) -> list[Entity]:
testPos = Posistion(x,y)
entitys = []
for i in world.getView(Posistion, *Components):
pos = i.getComponent(Posistion)
if pos == testPos:
entitys.... | FisherSTA/BrokenSeal | helpers.py | helpers.py | py | 348 | python | en | code | 0 | github-code | 36 |
6061528518 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 16:12:53 2020
@author: Monik
"""
import os, tifffile
import numpy as np
import matplotlib.pyplot as plt
import SOFI2_0_fromMatlab as sofi2
#%% helper functions
def where_max(a):
print(a.shape)
return np.unravel_index(np.argmax(a, axis=None), a.shape)
#%% rea... | pawlowska/SOFI2-Python-Warsaw | SOFI2_demo.py | SOFI2_demo.py | py | 1,760 | python | en | code | 0 | github-code | 36 |
37977450402 | import unittest
import sys
sys.path.insert(1, '..')
import easy_gui
class GUI(easy_gui.EasyGUI):
def __init__(self):
self.geometry('300x300')
self.date = self.add_widget('date')
self.add_widget(type='button', text='Print Date', command_func=self.print_date)
def print_date(sel... | zachbateman/easy_gui | tests/test_datepicker.py | test_datepicker.py | py | 519 | python | en | code | 1 | github-code | 36 |
37463181641 | import Dataset as datos
import matplotlib.pyplot as plt
import numpy as np
import os
df_ventas = datos.get_df_ventas()
resample_meses = datos.get_resample_meses()
facturacion_por_juego = datos.get_facturacion_por_juego()
cantidad_ventas_por_juego = datos.get_cantidad_ventas_por_juego()
#--------------------... | matinoseda/CPT-datos-ventas | Estadísticas Juegos.py | Estadísticas Juegos.py | py | 5,685 | python | es | code | 0 | github-code | 36 |
25796455279 | import itertools
import numpy as np
import collections
import tensorflow as tf
from PIL import Image
from keras.models import Model, load_model
from keras import backend as K
from integrations.diagnosis_nn.diagnosisNN import DiagnosisNN
from neural_network.models import NeuralNetwork
from neural_network.nn_manager.G... | AkaG/inz_retina | integrations/diagnosis_nn/DiagnosisQuery.py | DiagnosisQuery.py | py | 1,527 | python | en | code | 0 | github-code | 36 |
75097728425 | import h5py
import numpy as np
import os
import matplotlib.pyplot as plt
from imblearn.over_sampling import SMOTE
import random
# A simple example of what SMOTE data generation might look like...
# Grab the data
path=os.path.join(os.getcwd() , 'batch_train_223.h5')
file = h5py.File(path, 'r')
keys = file.keys()
sampl... | emilyjcosta5/datachallenge2 | train/testSMOTE.py | testSMOTE.py | py | 2,466 | python | en | code | 1 | github-code | 36 |
34684043114 | #!/usr/bin/env python3
from collections import deque
def search(lines, pattern, history=5):
previous_lines = deque(maxlen=history)
for i in lines:
if pattern in i:
yield i, previous_lines
previous_lines.append(i)
if __name__ == '__main__':
with open(r'somefile.txt') as f:
... | kelify/WorkProgram | CookBook-python3/c01/01.py | 01.py | py | 468 | python | en | code | 0 | github-code | 36 |
14061601965 | import binascii
import json
import logging
import cv2
import numpy as np
import requests
VIDEO_UPLOAD_URL = 'http://video-fs.like.video/upload_video.php'
IMAGE_UPLOAD_URL = 'http://img-fs.like.video/FileuploadDownload/upload_img.php'
logger = logging.getLogger(__name__)
def upload_video(video_bytes):
files = {... | ThreeBucks/model-deploy | src/utils/cdn_utils.py | cdn_utils.py | py | 3,379 | python | en | code | 0 | github-code | 36 |
37943750143 | import signal
import sys
import math
import time
class _Getch:
"""Gets a single character from standard input. Does not echo to the
screen."""
def __init__(self):
try:
self.impl = _GetchWindows()
except ImportError:
self.impl = _GetchUnix()
def __call__(self):
... | spectechular/RaspberryPi_16x2_write_message | lcd_test.py | lcd_test.py | py | 1,636 | python | en | code | 0 | github-code | 36 |
6811793818 | from random import random
import numpy as np
import time
from math import *
import os
import sys
sys.setrecursionlimit(10**6)
clusters = []
visible_cells = []
class Cluster:
def __init__(self,m,n):
# Get the dimensions of the grid
self.rows = m
self.cols = n
self.visited_map = np.z... | Luckykantnayak/uav-project-2 | performance_check.py | performance_check.py | py | 8,208 | python | en | code | 0 | github-code | 36 |
20940437621 | from collections import OrderedDict
import torch
def anchor_offset_to_midpoint_offset(anchor_offset: torch.Tensor, anchors: torch.Tensor):
b, n, h, w = anchors.shape
num_anchors = int(n/4)
# prediction has 6 * num_anchors in dim=1 (they are concatenated) we reshape
# for easier handling (same for anch... | Simon128/pytorch-ml-models | models/oriented_rcnn/encodings.py | encodings.py | py | 5,317 | python | en | code | 0 | github-code | 36 |
37099800243 | import pandas as pd
import pickle
from data import DATA_FILENAME, to_days_since_1998, datetime
def parse_date(string_value: str) -> int:
try:
return datetime.datetime.strptime(string_value.strip(), '%d/%m/%Y').date()
except ValueError:
return None
COLUMNS = ['ibovespa']
df = pd.read_csv(DATA... | fernando7jr/py-ibov-regression | ibov.py | ibov.py | py | 1,795 | python | pt | code | 0 | github-code | 36 |
34274019963 | import time
import multiprocessing as mp
def show_current_time():
while True:
t = time.strftime("%H:%M:%S")
print("Текущее время:", t)
time.sleep(1)
def show_message():
while True:
print("(* ^ ω ^)")
time.sleep(3)
if __name__ == "__main__":
p1 = mp.Process(target=s... | Surikat226/Python-grade | async_run.py | async_run.py | py | 645 | python | ru | code | 0 | github-code | 36 |
11892380680 | # Uses python3
import sys
import random
def partition3(a, l, r):
#Whole idea is to compare if the ith element is larger than the last element.
#If yes, then we swap it. This will automatically make sure that equal elements as the first one will be in the middle.
x = a[l]
j = l
end = r
... | bandiatindra/DataStructures-and-Algorithms | Week 4/Improving Quick Sort.py | Improving Quick Sort.py | py | 1,430 | python | en | code | 3 | github-code | 36 |
8444325228 | # class s_(object):
import functools
import numbers
import operator
import numpy
import cupy
from cupy._creation import from_data
from cupy._manipulation import join
class AxisConcatenator(object):
"""Translates slice objects to concatenation along an axis.
For detailed documentation on usage, see :func:`... | cupy/cupy | cupy/_indexing/generate.py | generate.py | py | 18,125 | python | en | code | 7,341 | github-code | 36 |
6108135387 | from django.db import models
from django.utils.translation import gettext_lazy as _
from solo.models import SingletonModel
class Configuration(SingletonModel):
tenant = models.CharField(max_length=255, help_text="Welkin organization name.")
instance = models.CharField(
max_length=255, help_text="The e... | Lightmatter/django-welkin | django_welkin/models/configuration.py | configuration.py | py | 1,152 | python | en | code | 1 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.