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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
15973370719 | from dataclasses import dataclass
import glob
import json
from multiprocessing import Pool, cpu_count
import os
from config_manager.config import Config
import commits
import variability
class MetricsConfig(Config):
repos_folder: str
output_json: str
@dataclass
class RepoMetrics:
variability: variabil... | evjeny/code_main_sequence_analysis | calculate_metrics.py | calculate_metrics.py | py | 2,663 | python | en | code | 0 | github-code | 1 |
30880145691 | import numpy as np
import cv2
import requests
cap = cv2.VideoCapture(0)
ret, frame = cap.read()
cv2.imwrite('pic.png',frame)
url = "http://localhost:8000/meter/piupload/"
fin = open('pic.png', 'rb')
files = {'file': fin}
try:
r = requests.post(url, files=files)
print(r.text)
finally:
fin.close() | SothanaV/smartmeter | pi/capup.py | capup.py | py | 305 | python | en | code | 0 | github-code | 1 |
40003845498 | from ortools.linear_solver import pywraplp
from collections import namedtuple
Item = namedtuple("Item", ['index', 'value', 'weight'])
DEBUG = 0
def solve_it(input_data):
# parse the input
lines = input_data.split('\n')
firstLine = lines[0].split()
item_count = int(firstLine[0])
capaci... | thiagoaraujocampos/Knapsack-Problem | solver.py | solver.py | py | 3,161 | python | en | code | 0 | github-code | 1 |
6044731535 | """
Michael Neilson <github: nichael-meilson>
2022-06-30
"""
import pytest
from httpx import AsyncClient
from fastapi import FastAPI
from starlette.status import (
HTTP_201_CREATED,
HTTP_404_NOT_FOUND,
HTTP_422_UNPROCESSABLE_ENTITY,
HTTP_200_OK,
)
from app.models.articles import CreateArticle, Article... | nichael-meilson/camel2 | src/tests/test_articles.py | test_articles.py | py | 4,126 | python | en | code | 0 | github-code | 1 |
27188793196 | from Quote import Quote
from csv import reader
from pyfiglet import Figlet
from termcolor import colored
from random import randint
end = 1
book_of_quote = []
with open("qoute.csv" , newline='') as plik:
csvv = reader(plik)
csvv.__next__()
for q in csvv:
book_of_quote.append(Quote(q[0],q[1],q[2]))... | Swiatomil/scrap-qoute-game | game.py | game.py | py | 1,490 | python | en | code | 0 | github-code | 1 |
15219909785 | import os
from pathlib import Path
import coloredlogs, logging
class FileObserver:
"""Searches in the time interval of search_interval for files in the Input folder and saves the filename, filetype
and tablename in a list of list in the object atribute input_files.
For instance: [{filename: 'file1... | kteppris/dwh | scripts/file_observer.py | file_observer.py | py | 3,847 | python | en | code | 0 | github-code | 1 |
72370542435 | # Calculating the factorial of a number
# # Program prompts the user for the number
# if number is smaller than zero, print error
#else set fact to 1 and i to one
#while number is greater than or equal to i
#fact times i and increment by one
#print out result
number = int(input('Enter the number for which you wish to... | chowsychoch/Programming-1- | p11/p11p1.py | p11p1.py | py | 586 | python | en | code | 0 | github-code | 1 |
43518145068 | from optimize import snopta, SNOPT_options
import numpy as np
from scipy.spatial import Delaunay
import scipy.io as io
import os
import inspect
from dogs import Utils
from dogs import interpolation
from dogs ... | kimukook/SDOGS | dogs/adaptive_snopt_min.py | adaptive_snopt_min.py | py | 18,534 | python | en | code | 0 | github-code | 1 |
14905298243 | import pygame
from pygame.sprite import Sprite
class Bullet(Sprite):
"""A class to manage bullets fired from the ship.
Attributes
----------
rect: pygame.Rect
Rectangular coordinates of the bullet
Methods
-------
update()
Move the bullet up the screen
draw_bullet()
... | DeepWalter/python-projects | alien_invasion/bullet.py | bullet.py | py | 1,622 | python | en | code | 0 | github-code | 1 |
14386200871 | """
## 14-10. 이진 탐색 트리를 더 큰 수 합계 트리로
BST의 각 노드를 현재값보다 더 큰 값을 가진 모든 노드의 합으로 만들어라.
"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def __init__(self):
s... | hyo-eun-kim/algorithm-study | ch14/saeyoon/ch14_10_saeyoon.py | ch14_10_saeyoon.py | py | 1,026 | python | ko | code | 0 | github-code | 1 |
25452018907 | import pygame, sys
from grid import Grid
from ai import AI
#Get the number of rows and cols from the user.
rows = cols = int(input('Enter the number of rows and cols: '))
screen = pygame.display.set_mode((600,600))
pygame.display.set_caption('Maze Solver')
#Calculating res of each cell
res = screen.get_height()//row... | pratripat/Maze-solving-AI | visualizer.py | visualizer.py | py | 1,057 | python | en | code | 1 | github-code | 1 |
28567878265 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Task controller.
The controller stores:
- lists of tasks (ProcessorController.model),
- their associated processors and cache (ProcessorController.data).
It can add/delete/update tasks, emitting the corresponding events
"""
from typing import Union, Type, Di... | depixusgenome/trackanalysis | src/taskmodel/processors.py | processors.py | py | 4,081 | python | en | code | 0 | github-code | 1 |
22106003302 | import os
import csv
# CSV FILE LOCATION
csv_file = os.path.join("Resources", "election_data.csv")
# LIST TO STORE DATA
Total_votes = 0
candidates = {}
# OPEN AND READ THE CSV_FILE
with open(csv_file, newline="") as csvfile:
csv_reader = csv.reader(csvfile, delimiter=",")
# SKIP THE HEADER
csv_header =... | ruddysimon/Python_bank_analysis | ByPoll/main.py | main.py | py | 2,310 | python | en | code | 0 | github-code | 1 |
37659351964 | import numpy as np
class Actor:
def __init__(self, output_size):
self.output_size = output_size
# take action with epsilon-greedy
def get_action(self, observation, episode, model):
epsilon = 0.01 + 0.99 / (1.0+episode)
if np.random.rand() > epsilon:
action_... | runno0331/dqn-from-scratch | actor.py | actor.py | py | 558 | python | en | code | 0 | github-code | 1 |
15413522535 | """
양의 정수 n이 주어집니다. 이 숫자를 k진수로 바꿨을 때,
변환된 수 안에 아래 조건에 맞는 소수(Prime number)가 몇 개인지 알아보려 합니다.
0P0처럼 소수 양쪽에 0이 있는 경우
P0처럼 소수 오른쪽에만 0이 있고 왼쪽에는 아무것도 없는 경우
0P처럼 소수 왼쪽에만 0이 있고 오른쪽에는 아무것도 없는 경우
P처럼 소수 양쪽에 아무것도 없는 경우
단, P는 각 자릿수에 0을 포함하지 않는 소수입니다.
예를 들어, 101은 P가 될 수 없습니다.
예를 들어, 437674을 3진수로 바꾸면 211020101011입니다. 여기서 찾을 수 있는 조건에... | high-skyy/test_practice | Solutions/k진수에서_소수_개수_구하기_2022.py | k진수에서_소수_개수_구하기_2022.py | py | 2,767 | python | ko | code | 0 | github-code | 1 |
71509366755 | import sys
import os
import glob
import csv
import logging
from collections import OrderedDict
from util import *
def trade_dates(file):
"""Analyzes a trades csv file and returns a list of the corresponding dates
that are covered in the file.
"""
dates = []
# Open the trades file and get each dat... | gnu-user/finance-research | scripts/align_quotes.py | align_quotes.py | py | 11,709 | python | en | code | 1 | github-code | 1 |
25602454467 | # text = input()
# symbol = text[1]
# print(symbol * 2)
text = ""
while text != "End":
text = input()
if text == "SoftUni":
continue
elif text == "End":
break
for symbol in range(len(text)):
print(text[symbol] * 2, end="")
print()
| IvanRadunchev/Programming-Fundamentals-with-Python---September-2022 | phyton_fundamentals_september_2022_exercises/16_september_exercise/07_double_char.py | 07_double_char.py | py | 275 | python | en | code | 0 | github-code | 1 |
15074079513 | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 1 09:00:01 2023
@author: Cathe
"""
import matplotlib.pyplot as plt
import os
import numpy as np
import scipy.io
import re
from matplotlib import rc
from scipy.stats import pearsonr
def is_float(string):
try:
float(string)
return Tr... | qiyaozhu/CyclicPeptide | Clustercenters_15res/Pnear_Modified/Pnear_15res.py | Pnear_15res.py | py | 4,511 | python | en | code | 0 | github-code | 1 |
7499822304 | import numpy as np
import sympy
from sympy.abc import alpha
from funx import fun,gfun
from armijo import armijo
def line_search(xk,dk): # 精确线搜索
alphak = None
eq = np.dot(gfun(xk+alpha*dk).T,dk)[0]
alpha0 = sympy.solve(eq,[alpha])
if len(alpha0) > 1:
for a in alpha0:
a = a[0]
... | LMC20020909/HUST-SSE-Curriculum-Design | 数学建模与最优化/最优化方法-源代码/梯度下降法.py | 梯度下降法.py | py | 1,730 | python | en | code | 0 | github-code | 1 |
38425972289 | #!/usr/bin/env python3
# coding: utf-8
# add to crontab
import json, time
import time, datetime
import yaml
import argparse
import os
from influxdb import InfluxDBClient
MEASUREMENT_OUT = 'holtwinters'
MEASUREMENTS= [
{
'measurement_in': 'elasticsearch_jvm',
'value_in': 'mem_heap_used_percent',
... | markuskont/influx-holtwinters | main.py | main.py | py | 4,227 | python | en | code | 1 | github-code | 1 |
44190566884 | from flask import Flask
from flask import redirect
from flask import render_template
from flask import url_for
from flask.ext.script import Manager
from flask.ext.sqlalchemy import SQLAlchemy
from getpass import getuser
from json ... | dark-ritual/cs373-idb | app/app.py | app.py | py | 24,898 | python | en | code | 0 | github-code | 1 |
24602385004 | from pydoc import text
from flask import Flask, jsonify
import socket
import flask
import netifaces
import subprocess
from flask.globals import request
from uuid import getnode as get_mac
from threading import Thread
import os, sys, json, struct, socket, fcntl, time
import subprocess
from os import listdir
from os.path... | khayalghosh/data | app.py | app.py | py | 8,797 | python | en | code | 0 | github-code | 1 |
40585445114 | import sys
sys.path.insert(0, "../..")
import ply.lex as lex
# Reserved words
reserved = (
'RENDERER', 'INTEGRATOR', 'TRANSFORM', 'SAMPLER', 'FILTER', 'FILM', 'CAMERA',
'WORLDBEGIN', 'WORLDEND', 'ATTRIBUTEBEGIN', 'ATTRIBUTEEND', 'TRANSFORMBEGIN', 'TRANSFORMEND',
'MAKENAMEDMATERIAL', 'NAMEDMATERIAL', 'MATE... | lahagemann/pbr_scene_converter | src/core/LuxLex.py | LuxLex.py | py | 2,530 | python | en | code | 18 | github-code | 1 |
3617920960 | from re import X
import torch
import torch.nn as nn
from torchvision.transforms import functional as F
from PIL import Image
from models.MIMOUNet import build_net
from models.unet import DeblurUNet
from models.face_model.face_gan import FaceGAN
from skimage.metrics import peak_signal_noise_ratio
import cv2
import os... | ckirchhoff2021/ImageSynthesis | MMU-DDP/gen2.py | gen2.py | py | 4,212 | python | en | code | 2 | github-code | 1 |
9788724565 | from app import app
from flask import render_template, redirect, url_for, current_app
from app import db
from app.models import Car
from app.forms import AddForm, SearchForm
import sqlalchemy as sa
import sys
@app.route('/init')
def initialize_db():
connection_uri = app.config['SQLALCHEMY_DATABASE_URI']
engin... | NormanBenedict/hwk2 | hw2-cse-321/app/routes.py | routes.py | py | 2,798 | python | en | code | 0 | github-code | 1 |
3527241237 | # -*- coding: utf-8 -*-
import pytest
import requests
from jsonschema import validate
url_parts = ["", "/8094", "/search?query=Brewing",
"/autocomplete?query=dog"]
@pytest.mark.parametrize("params", url_parts)
def test_status_code(base_url, params):
"""Проверка кода состояния HTTP"""
target = ... | Eliseev-Max/API_testing | open_brewery_db/test_open_brewery.py | test_open_brewery.py | py | 3,271 | python | en | code | 0 | github-code | 1 |
22406110387 | #22. Escrever um algoritmo que leia os dados de “N” pessoas (nome, sexo, idade e saúde) e informe se está apta ou não para cumprir o serviço militar obrigatório. Informe os totais.
contro = "n"
contador = 0
while contro != "s":
nome = input("informe seu nome: ")
sex = input("informe seu sexo: ")
idad = in... | caiocosta01/Atividades-Python | lista de exercícios-22.py | lista de exercícios-22.py | py | 757 | python | pt | code | 0 | github-code | 1 |
44469912793 | import gtk
class PyApp(gtk.Window):
def __init__(self):
super(PyApp,self).__init__()
self.set_title("Alignment demo")
self.set_size_request(400,200)
self.set_position(gtk.WIN_POS_CENTER)
vbox=gtk.VBox(False,5)
vb=gtk.VBox()
hbox=gtk.HBox(True,3)
valign=gtk.Alignment(0.5,0.25,0,0)
... | rong11417/PyGTK_demo | alignment.py | alignment.py | py | 850 | python | en | code | 2 | github-code | 1 |
1145617455 | import sys
sys.setrecursionlimit(10**5)
input = sys.stdin.readline
N = int(input())
edge = [ [] for _ in range(N+1)]
for _ in range(N-1):
u,v,w=map(int,input().split())
edge[u].append((v,w))
edge[v].append((u,w))
def dfs(curr,dist):
global max_dist, max_index
if max_dist < dist:
... | seoljeongwoo/learn | algorithm/BOJ_1964.py | BOJ_1964.py | py | 708 | python | en | code | 0 | github-code | 1 |
21173035808 | from typing import Dict, List
from app.utils import preprocessor_slot_description_to_value
import torch
from transformers import AutoTokenizer
from app.model.pretrained_models import get_pretrained_model, get_tokenizer
class FlanT5Sacc:
def __init__(self, size: str, device) -> None:
self.name = f"flan-t... | janpawlowskiof/template-based-response-generation-in-tod | app/rankers/flan_t5_ranker.py | flan_t5_ranker.py | py | 2,949 | python | en | code | 0 | github-code | 1 |
71103588835 | import os
import ycm_core
project_dir = os.path.dirname(os.path.abspath(__file__))
compilation_database_folder = os.path.join(project_dir, "code/build/")
database = ycm_core.CompilationDatabase( compilation_database_folder )
additional_flags = [
'-isystem', '/usr/local/include',
'-isystem', '/usr/include',
... | poutipie/yage | .ycm_extra_conf.py | .ycm_extra_conf.py | py | 1,867 | python | en | code | 0 | github-code | 1 |
8692692038 | import datetime
import itertools
from .models import Period
# https://www.womenshealth.gov/a-z-topics/menstruation-and-menstrual-cycle
AVERAGE_MENSTRUAL_CYCLE = datetime.timedelta(days=28)
def avg(lst):
length = 0
total = 0
for item in lst:
total += item
length += 1
return total / le... | rockymeza/ymrj | periods/utils.py | utils.py | py | 1,161 | python | en | code | 0 | github-code | 1 |
71904125153 |
#Imports
from torch.utils.data import Dataset
import pandas as pd
import numpy as np
import librosa
import torch
class AudioLocationDataset(Dataset):
def __init__(self, root="./../data_clip/", csv="./data_clip_label/label.csv", transform=None, use_subset=None, num_bin = 2):
self.root = root
self... | zacharyyamaoka/DE3-Audio | nn_utils/nn_util.py | nn_util.py | py | 6,075 | python | en | code | 0 | github-code | 1 |
72921016995 | import os
from fabric.api import cd, run, env, task, get
from fabric.contrib.files import exists
from ..repositories import get_repo_name
from fabric.context_managers import prefix
@task
def pip_download_cache(keep_dir=None):
"""Downloads pip packages into deployment pip dir.
"""
if not exists(env.deplo... | botswana-harvard/edc-fabric | edc_fabric/fabfile/pip/tasks.py | tasks.py | py | 3,218 | python | en | code | 0 | github-code | 1 |
4489182542 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.applications import ResNet101
from tensorflow.keras.models import Model
from tensorflow.... | Taerimmm/ML | Lotte/06_1_ResNet101.py | 06_1_ResNet101.py | py | 2,392 | python | en | code | 3 | github-code | 1 |
4644928169 | import base64
import glob
import os
import os.path as op
import posixpath as pp
from urllib.parse import urlencode, urljoin
import pandas as pd
import requests
class EncodeClient:
BASE_URL = "http://www.encodeproject.org/"
# 2020-05-15 compatible with ENCODE Metadata at:
METADATA_URL = "https://www.enc... | open2c/bioframe | bioframe/sandbox/clients.py | clients.py | py | 5,776 | python | en | code | 127 | github-code | 1 |
42977750791 | # coding=utf-8
def triplet_sum_close_to_target(arr, target_sum):
arr.sort()
smallest_diff = target_sum - arr[0] - arr[1] - arr[2]
for left in range(len(arr) - 2):
middle = left + 1
right = len(arr)-1
while middle < right:
current_sum = arr[left] + arr[midd... | dzy176/KnowledgeMapping | Code/grokking/python/two_pointers/5_triplet_sum_close_to_target.py | 5_triplet_sum_close_to_target.py | py | 1,041 | python | en | code | 0 | github-code | 1 |
72301275554 | #!/usr/bin/python3
from lxml import html
import requests
import hashlib
import base64
import re
session = "7uvlvl1ci3tho8pdl2pgrp7ag0"
# NOT GETTING THE RIGHT CHALLENGE
def process(data):
print("="*35 + " Input " + "="*35)
print(data)
# can_decode = True
# i = 0
# while can_decode:
# i += 1
# try:
# temp = ... | 0xchase/ctfs | ring0/coding/7-littlelf/solve.py | solve.py | py | 1,345 | python | en | code | 0 | github-code | 1 |
22091923760 | n = int(input())
lista = []
for i in range(n):
num = int(input())
lista.append(num)
for x in lista:
if x > 0 and x % 2 == 0:
print('EVEN POSITIVE')
elif x < 0 and x % 2 == 0:
print('EVEN NEGATIVE')
elif x > 0 and x % 2 != 0:
print('ODD POSITIVE')
elif x < 0 and x % 2 != ... | JoaoAssalim/Beecrowd-Solution | Python/1074.py | 1074.py | py | 384 | python | en | code | 5 | github-code | 1 |
36571798337 | from flask import jsonify, request
from flask_restful import Resource
from Model import db, VistorChainsTotal, VistorLevel, Vistor, States
from Model import VisitorChainTotalSchema, VistorLevelSchema, VisitorSchema, QuerySchema, StatesSchema, Names
from webargs import fields, validate
from webargs.flaskparser import... | donc310/WidgetApi | resources/Query.py | Query.py | py | 9,773 | python | en | code | 0 | github-code | 1 |
14573968338 | # import library and abbreviate pyplot for easier use
import matplotlib.pyplot as plt
# list of data we'll be plotting
inputValues = [1, 2, 3, 4, 5]
squares = [1, 4, 9, 16, 25]
# using a built-in style
# note: this needs to go BEFORE running subplots() and plot()
plt.style.use('dark_background')
# fig... | jamesastephenson/python-2022 | matplotlib 1 (8-13-22)/mpl_squares.py | mpl_squares.py | py | 1,027 | python | en | code | 0 | github-code | 1 |
19874279600 | import cv2
import numpy as np
#Fill the screen with digits
def fill_digits_motion(num_array , coor_array , indexes , tos):
cap=cv2.VideoCapture(0)
if cap.isOpened() : ret,frame = cap.read()
else:
ret = False
ret,frame1 = cap.read()
ret,frame2 = cap.read()
diff = ... | YashIndane/AR-Sudoku-Solver | python_files/motion_digits2.py | motion_digits2.py | py | 1,761 | python | en | code | 26 | github-code | 1 |
8007887981 | # App de Medição de Indice de Descarte
# Imports
import pickle
import numpy as np
import pandas as pd
import logging, io, os, sys
from sklearn.ensemble import GradientBoostingClassifier
from flask import Flask, render_template, flash, request, jsonify
# pip install flask_httpauth
from flask_httpauth import HTTPBasic... | machadodecastro/animal_death_risk_prediction | app/app.py | app.py | py | 3,775 | python | pt | code | 0 | github-code | 1 |
21447706332 | import torch
import torchvision
import torchvision.transforms as transforms
DATA_PATH = './data'
def get_transform():
transform = transforms.Compose(
[transforms.ToTensor(),
transforms.Normalize((0.5,), (0.5,))])
return transform
def get_dataset(transform, download=True):
train_set = to... | nmd-2000/torchserve-demo | model/utils.py | utils.py | py | 809 | python | en | code | 0 | github-code | 1 |
22386365690 | import random
import torch
import cv2
import json
import os
from typing import List, Tuple
import asset
from torch.utils.data import Dataset, DataLoader, SubsetRandomSampler
from asset.utils import dmsg,getIfAugmentData
import imgaug.augmenters as iaa
import numpy as np
from tqdm import tqdm
import random as rand
from ... | AIS-Bonn/Local_Freq_Transformer_Net | lfdtn/dataloaders.py | dataloaders.py | py | 22,110 | python | en | code | 14 | github-code | 1 |
72995391073 | import pandas as pd
import numpy as np
import sys
sys.path.append(
'/groups/umcg-lifelines/tmp01/projects/ov20_0554/umcg-aewijk/covid19-qol-modelling/src/python')
from config import get_config
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import warnings
warnings.filterwarnings('ignore')
def add_we... | molgenis/covid19-qol-modelling | src/python/make_dataframe_for_correlation.py | make_dataframe_for_correlation.py | py | 7,731 | python | en | code | 0 | github-code | 1 |
17447453062 | from typing import Callable, Dict
from starlette import status
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
from starlette.responses import RedirectResponse, Response
from starlette.types import ASGIApp, Receive, Scope, Send
class LegacyRedirectMiddleware(BaseHTTPMi... | florimondmanca/www | server/web/legacy.py | legacy.py | py | 2,045 | python | en | code | 31 | github-code | 1 |
11468156208 | class SIGTools(object):
"""
This class collects all the sig functions to use in TileVect, GeomConfig
"""
@classmethod
def get_extent_of_layer(cls, layer):
"""
Outputs length of the smaller size of the features' bbox
Returns 0 if the bbox is a Point
"""
min_... | Terralego/django-geostore | geostore/tiles/sigtools.py | sigtools.py | py | 827 | python | en | code | 21 | github-code | 1 |
6003789556 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def docclass_test():
cl = fisherclassifier(getwords)
cl.setdb('test1.db')
sampletrain(cl)
cl2 = naivebayes(getwords)
cl2.setdb('test1.db')
cl2.classify('quick money')
if __name__ == '__main__':
import nose
nose.main()
| cametan001/document_filtering | docclass_test.py | docclass_test.py | py | 300 | python | en | code | 1 | github-code | 1 |
15345500601 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
print("Hello World!")
# In[2]:
import librosa
import numpy as np
import matplotlib.pyplot as plt
import IPython.display as ipd
import librosa.display
from IPython.display import Audio
from scipy import stats
# In[3]:
y, sr = librosa.load("yours.mp3")
# In[4]:
... | kirtisubs06/AI-Music-Research-Code | MusicAIJupyterNotebook.py | MusicAIJupyterNotebook.py | py | 13,649 | python | en | code | 1 | github-code | 1 |
7521363992 | # 탐색과 정렬_순차 탐색
# first trial: error:
# a[0]과 x가 같지 않다면 무조건 -1만 출력
# return -1이 if절에 속해, for 문의 반복이 이뤄지지 않았기 때문
def find_loc_err(a, x):
n = len(a)
for i in range(0, n):
if a[i] == x:
return i
else:
return -1
c = [44, 20, 47, 14, 22, 99, 63, 86]
print(find_loc_err(c, 20))
print(find_loc_err... | kyueunQ/Python | algorithms/day07.py | day07.py | py | 1,319 | python | ko | code | 0 | github-code | 1 |
20613432599 | import maya.cmds as cmds
from math import *
psphere = cmds.sphere(r=5)
pcube = cmds.polyCube()
pcone = cmds.polyCone()
closestToSurface = cmds.createNode("closestPointOnSurface")
cmds.connectAttr(closestToSurface+'.position', pcube[0]+'.translate')
cmds.connectAttr(pcone[0]+'.translate', closestToSurface+'.inPosition'... | ameliacode/BestTextbookforTechnicalArtists | Chapter 2. Procedure/object_movement.py | object_movement.py | py | 401 | python | en | code | 0 | github-code | 1 |
27429545506 | #REQUIREMENTS
# ffmpeg
# vosk
# youtube-dl
##
import vosk
import os
import sys
import getopt
from traceback import print_exc
from subprocess import Popen, PIPE
import shlex
import json
from vosk import Model, KaldiRecognizer, SetLogLevel
def main(*argv):
try:
#argv = argv[0]
argv = sys.argv[1:] ... | giraycoskun/vosk-ASR-app | app/commandline_tool.py | commandline_tool.py | py | 3,878 | python | en | code | 0 | github-code | 1 |
42472504231 | import json
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views import View
from django.views.generic import FormView
from django.views.generic import ... | ivn-svn/pionergallery | pionergallery/pioner_gallery/views.py | views.py | py | 13,406 | python | en | code | 0 | github-code | 1 |
22735484746 | import cv2
import sys
import os
# 解析gpfpd消息
def parse_gpfpd(gpfpdfile):
with open(gpfpdfile, 'r') as f:
dic1 = []
dic1.append(-1)
dic2 = []
dic2.append([0,0,0,0,-0.202,0,0,0,0,0,0,0,0,0,0,0])
for line in f.readlines():
line = line.strip('\n')
... | guoxxiong/Lane-Image-Stitching-Based-on-Integrated-Inertial-Navigation | rotate.py | rotate.py | py | 2,299 | python | en | code | 1 | github-code | 1 |
41034040354 | from __future__ import annotations
from typing import Any
from typing import Optional
from . import ext
from .._typing import _OnConflictConstraintT
from .._typing import _OnConflictIndexElementsT
from .._typing import _OnConflictIndexWhereT
from .._typing import _OnConflictSetT
from .._typing import _OnConflictWhere... | sqlalchemy/sqlalchemy | lib/sqlalchemy/dialects/postgresql/dml.py | dml.py | py | 10,965 | python | en | code | 8,024 | github-code | 1 |
15621341184 | import urllib
from bs4 import BeautifulSoup
import re
import csv
url = "http://stats.footballpredictions.net/england/premier/1995-1996/results.html"
htmlfile = urllib.urlopen(url)
soup = BeautifulSoup(htmlfile)
#home team names
hometeam = soup.find_all("td", class_="hometeam")
ht = []
for element in hometeam:
ht.ap... | dviera/replications | Lee/get_data.py | get_data.py | py | 1,233 | python | en | code | 0 | github-code | 1 |
10488495780 | # 784. Letter Case Permutation
# https://leetcode.com/problems/letter-case-permutation/
class Solution:
def letterCasePermutation(self, s: str) -> List[str]:
queue = []
queue.append(s)
for i in range(len(s)):
if s[i].isalpha():
for _ in range(len(queue)):
... | pablomdd/Algoritmia | Leetcode/BFS-DFS/letterCasePermutation.py | letterCasePermutation.py | py | 583 | python | en | code | 2 | github-code | 1 |
11420247228 | """
A script that compares image histograms quantitively. The user must specify either a single image or a directory (jpg/png).
"""
# system tools
import os
import argparse
import sys
# image and data tools
import cv2
import numpy as np
import glob
import pandas as pd
# plotting tools
import matplotlib.pyplot as plt... | sarah-hvid/Vis_assignment1 | src/hist_comparison.py | hist_comparison.py | py | 5,910 | python | en | code | 0 | github-code | 1 |
33559442185 | from django.contrib.auth.models import User
from django.db import models
from django.db.models import Index
class EquipmentType(models.Model):
"""
Тип оборудования
"""
name = models.CharField(max_length=255, verbose_name='Type name')
serial_number_mask = models.CharField(max_length=50, verbose... | KotelnikovKP/equipment | backend/models.py | models.py | py | 2,379 | python | en | code | 0 | github-code | 1 |
23033725045 | ##diagonalize
import numpy as np
from qe.ReadDynMat import *
import cmath
def Get_Eval_Evec_dDdV ( Darray):
Deq = [] ## equilibrium dyn matrices
Dn = [] ## non-equilibrium dyn matrices
dD = [] ## what will be returned (dD/dV)
eval = [] ## eigenvalues (omega^2)
evec = [] ## eigenvectors that diagona... | alex-miller-0/grupy | Versions/1.0/grupy/GruCalc.py | GruCalc.py | py | 7,629 | python | en | code | 5 | github-code | 1 |
4327026652 | import ipaddress
import re
import glob
def Return_IP_adr(str):
if re.match("^ ip address ([0-9.]+) ([0-9.]+)$", str):
r = re.match("^ ip address ([0-9.]+) ([0-9.]+)$", str)
return ipaddress.IPv4Network((r.group(1), r.group(2)),strict = False)
else:
return "None"
list_files = glob.glo... | shpinatashan/p4ne | Lab1.6/Lab.py | Lab.py | py | 827 | python | en | code | 0 | github-code | 1 |
20485270061 | import requests
from bs4 import BeautifulSoup
import pandas as pd
def extract(page):
url = f'https://in.indeed.com/jobs?q=python+developer&l=India&start={page}'
res = requests.get(url)
# return res.status_code
soup = BeautifulSoup(res.content, 'html.parser')
return soup
job_list = [... | ashish-ash303/Indeed-Scraping | indeed.py | indeed.py | py | 1,067 | python | en | code | 0 | github-code | 1 |
25169636157 | import time
import datetime
from grooveshark import Grooveshark
################################################################################
TITLE = 'Grooveshark'
ART = 'art-default.jpg'
ICON = 'icon-default.png'
SEARCH_ICON = 'icon-search.png'
PREFS_ICON = 'icon-prefs.png'
PRE... | manfer/Grooveshark.bundle | Contents/Code/__init__.py | __init__.py | py | 13,545 | python | en | code | 0 | github-code | 1 |
21237918702 | import os
import queue
import json
from jsonschema import validate
import collections
class TestCase():
"""Attributes of a single test.
Args:
test_data (dict): data for a single test, parsed from JSON
test declaration.
"""
__test__ = False #: Ignored by Pytest
... | MaxenceCaronLasne/unitbench | unitbench/testdeclaration.py | testdeclaration.py | py | 4,307 | python | en | code | 1 | github-code | 1 |
751666782 | import argparse
import re
import os
import pickle
'''--------------------Parsing argumnts--------------------'''
parser = argparse.ArgumentParser(description="Этот код создаёт модель, обученную на текстах песен")
parser.add_argument(
'--input_dir',
type=str,
help="Путь к папке с песнями"
)
pars... | DommeUse/Text-Generator | train.py | train.py | py | 1,508 | python | ru | code | 0 | github-code | 1 |
2299118867 | import os
import xml.etree.ElementTree as ET
import json
def append_barcode(results, barcode):
result = {}
result["attrib"] = barcode.attrib
Values = get_elements(barcode, "Value")
for Value in Values:
result["text"] = Value.text
result["value_attrib"] = Value.attrib
resu... | xulihang/Barcode-Reading-Performance-Test | utils/create_ground_truth_from_xml.py | create_ground_truth_from_xml.py | py | 1,176 | python | en | code | 11 | github-code | 1 |
72551570275 | from enum import IntEnum, auto
from typing import Tuple, Sequence
from unsserv.common.utils import parse_node
from unsserv.common.structs import Node
from unsserv.common.rpc.structs import Message
from unsserv.common.rpc.protocol import AProtocol, ITranscoder, Command, Data, Handler
from unsserv.extreme.searching.stru... | aratz-lasa/py-unsserv | unsserv/extreme/searching/protocol.py | protocol.py | py | 3,158 | python | en | code | 5 | github-code | 1 |
1093253833 | import sys
import os
sys.path.insert(0, os.getcwd() + '/../keggimporter')
import logging
import logging.handlers
from Config import *
from Importer import *
config = Config()
config.loadConfiguration()
conf = config.getConfigurations()
logFile = conf.get( 'log', 'info' )
log = logging.getLogger('')
log.setLevel(lo... | alexanderfranca/keggimporter | bin/execute-importer.py | execute-importer.py | py | 1,573 | python | en | code | 0 | github-code | 1 |
11602311705 | import pandas as pd
import functest as ft
# 함수화 규칙
# 입력 데이터는 괄호안에 작성
# 데이터의 출력은 return
# 출력 관련 함수 사용금지
def getSortData(data,groupList):
data1 = data.set_index(groupList).sort_index()
return data1.reset_index(inplace=False)
data=pd.read_csv("ymd.csv",sep="\t|,",names=['year','month','day','data'])
groupList... | zhtmr/pythoncode | test4-1.py | test4-1.py | py | 849 | python | ko | code | 0 | github-code | 1 |
38547541466 | import math
#Obtenção de Dados
matriz = [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]
sub1 = sub2 = sub3 = sub4 = sub5 = sub6 = sub7 = sub8 = sub9 = sub10 = sub11 = sub12 = 0
linha1 = linha2 = linha3 = linha4 = linha5 = linha6 = 0
mid1 = mid2 = mid3 = mid4 = mid5 = mid6 = 0
histeres... | PoshWizard376/Certificado-de-Calibracao | Incertezas.py | Incertezas.py | py | 5,472 | python | pt | code | 0 | github-code | 1 |
34666592380 | """
Useful functions for processing SMBL Data
"""
import requests
import sys
import re
import libsbml
import xmltodict
import json
def delete_doubles(arr):
"""
:param arr: list()
:return: Given list, without duplicated entries
"""
arr2 = []
for element in arr:
if not arr2.__contains__(... | JosuaCarl/Script_Assisted_Modeling | helper_functions.py | helper_functions.py | py | 9,195 | python | en | code | 1 | github-code | 1 |
1914061684 | """
NOTE:
You will have to install the Haskell program find-clumpiness on your machine before running this script.
For more info, see: https://github.com/GregorySchwartz/find-clumpiness
Also, this script calls the find-clumpiness program using the terminal via linux commands. The commands may not work if y... | DrexelSystemsImmunologyLab/Pediatric_gut_homeostatsis_paper | Supplemental/preprocessing/get_clumpiness_by_POD.py | get_clumpiness_by_POD.py | py | 27,497 | python | en | code | 0 | github-code | 1 |
7946558670 | import warnings
import argparse
import mlflow
from mlflow.tracking.client import MlflowClient
warnings.filterwarnings("ignore", category=FutureWarning)
from custom_preproc_classes.config.core import config
def parse_bool(to_production: str):
if to_production == "T":
return True
elif to_production ==... | afanzott/Data_Science_Best_Practice | register_mlflow_model.py | register_mlflow_model.py | py | 1,955 | python | en | code | 0 | github-code | 1 |
8620148120 | from django.core.management.base import BaseCommand
from home2_app.models import Client
class Command(BaseCommand):
help = "edit client name "
def add_arguments(self, parser):
parser.add_argument('name', type=str, help="Client_name")
parser.add_argument('new_name', type=str, help="New_Client... | vit21513/django_homework | home_project/home2_app/management/commands/edit_client_name.py | edit_client_name.py | py | 698 | python | en | code | 0 | github-code | 1 |
75257613153 | # goal
# 실패율이 높은 스테이지부터 내림차순으로 스테이지의 번호가 담겨있는 배열을 return 하도록 solution 함수
# description
# 실패율 - 스테이지에 도달했으나 아직 클리어하지 못한 플레이어의 수 / 스테이지에 도달한 플레이어 수
# 전체 스테이지의 개수 N, 게임을 이용하는 사용자가 현재 멈춰있는 스테이지의 번호가 담긴 배열 stages가 매개변수
# condition
# 스테이지의 개수 N은 1 이상 500 이하의 자연수이다.
# stages의 길이는 1 이상 200,000 이하이다.
# stages에는 1 이상 N + 1 이하의... | jum0/ProblemSolvingPython | Programmers/42889.py | 42889.py | py | 1,713 | python | ko | code | 0 | github-code | 1 |
34121568699 | import time
import PySimpleGUI as sg
from classes.logger import Logger
from classes.microscope_mover import MicroscopeMover, mover
from classes.scanner import Scanner
from classes.solis import Automatization
from gui.helpers import disable_element, enable_element, get_load_path, str_to_int
from gui.scanner_gui import... | LZP-2020-1-0200/Solis-XY | scanner.py | scanner.py | py | 4,903 | python | en | code | 0 | github-code | 1 |
74633942113 | """
Django command to wait for DB to be available
"""
import time
# Shows error but the psycopg2 is successfully installed on docker
from psycopg2 import OperationalError as Psycopg2Error
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
class Command(BaseCommand):
... | Uchiha-Itachi0/django-recipe-api | app/core/management/commands/wait_for_db.py | wait_for_db.py | py | 898 | python | en | code | 0 | github-code | 1 |
7695455337 | from .interpretpicklist import Interpretpicklist
from . import dateutils
from datetime import datetime
from . import xmlutilities
from synthesis.exceptions import DataFormatError#, SoftwareCompatibilityError
from . import logger
#from sys import version
from . import dbobjects
from .writer import Writer
from zope.inter... | 211tbc/synthesis | src/svcpointxml5writer.py | svcpointxml5writer.py | py | 26,257 | python | en | code | 0 | github-code | 1 |
30151381555 | import numpy as np
import cv2
import matplotlib.pyplot as plt
def getScoreImg():
nums = cv2.imread("numbers.png")
ret, nums = cv2.threshold(nums,127,255,cv2.THRESH_BINARY_INV)
nums = cv2.cvtColor(nums, cv2.COLOR_BGR2GRAY)
top = np.zeros((1,530))
nums = np.concatenate((top,top,top,top, nums, top,top... | fancent/CSC420 | Project/digitRecognition/numberSlicing.py | numberSlicing.py | py | 2,270 | python | en | code | 0 | github-code | 1 |
8500981124 | #!/usr/bin/env python
# coding: utf-8
# # COEN 140 Final Project - Music Genre Classifer
# In[241]:
import os
import json
import numpy as np
import scipy
import pandas as pd
import librosa as lb
import warnings
from sklearn.model_selection import train_test_split
from sklearn.discriminant_analysis import LinearDis... | amiller5233/COEN140-genre-classifier | final_project.py | final_project.py | py | 10,097 | python | en | code | 0 | github-code | 1 |
17381459463 | import pyautogui as pag
from collections import namedtuple,Counter
import random
"""
https://asyncfor.com/posts/doc-pyautogui.html
screenWidth, screenHeight = pyautogui.size()
currentMouseX, currentMouseY = pyautogui.position()
pyautogui.moveTo(100, 150)
pyautogui.click()
# 鼠标向下移动10像素
pyautogui.moveRel(None, 10)
pyau... | dkluffy/Gamescripts | liverbot/devicebind.py | devicebind.py | py | 1,283 | python | en | code | 1 | github-code | 1 |
40856341647 | from api.repository.organization_repository import OrganizationRepository
from api.services.formatter import FormatterService
class OrganizationService:
@staticmethod
def get_all_organization_with_total_amount_paid():
organizations_with_total_amount_paid = []
organizations = OrganizationReposi... | NicolleLouis/theolex | back/api/services/organization/organization_service.py | organization_service.py | py | 863 | python | en | code | 0 | github-code | 1 |
5081835274 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from tkinter import *
class KitchenTable():
def __init__(self, root):
self.tk=Frame(root)
self.tk.pack(expand=True,fill="both")
self.tk.configure(bg="white")
self.order_ready=False
self.food_placed=False
# Set custom c... | tolas92/py_tree | src/waiter_tree/waiter_tree/table_page.py | table_page.py | py | 3,330 | python | en | code | 0 | github-code | 1 |
14069660411 | def eval(tokens):
stack = [None]
opstack = [None]
for token in tokens:
pending = None
if token == '(':
stack.append(None)
opstack.append(None)
elif token == ')':
pending = stack.pop()
opstack.pop()
elif token == '+':
... | funkyt/AoC | 2020/18/p18.py | p18.py | py | 884 | python | en | code | 1 | github-code | 1 |
72227373155 | from math import sqrt
# ref = set((long, lat, val))
parsed_data = {}
def fn(lat, lon, ref):
ret = [0.0, 0.0]
d_tot = 0.0
for data in ref:
d_lat, d_lon, _, _ = data
d_tot += 1.0/getDist(lon, lat, d_lon, d_lat)
for data in ref:
d_lat, d_lon, air, ground = data
dist = getDist(lon, lat, d_lon, d_lat)
ret[0]... | bagelSeed/FB_ML-Hack | PruneData.py | PruneData.py | py | 1,756 | python | en | code | 0 | github-code | 1 |
20085148878 | """
Test the rendering mechanism to see if inquirer works
"""
from unittest.mock import Mock, create_autospec, patch
import inquirer
from pytest import fixture
from hacenada import render, session
@fixture
def renderer():
rr = render.InquirerRender()
return rr
def test_inquirer_type(renderer):
"""
... | corydodt/Hacenada | src/hacenada/test/test_render.py | test_render.py | py | 1,612 | python | en | code | 1 | github-code | 1 |
30473794377 | from django import forms
from django.contrib.contenttypes.models import ContentType
from django.db import transaction
from .fields import TaxiField, TaxiSingleField
from .models import TermTaxonomy, TermTaxonomyItem
class TaxiModelMixin(forms.ModelForm):
"""
Mixin used on model forms where a TaxiField is set... | nibon/django-taxi | django_taxi/mixins.py | mixins.py | py | 3,745 | python | en | code | 0 | github-code | 1 |
26890455961 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 4 14:23:45 2022
@author: Audi Aulia
"""
print ("Menentukan bilangan prima.")
def prima():
num = int(input("Masukan angka : "))
for i in range(2, num):
if num % i == 0:
return False
return True
x = prima()
print(x) | audliaaasss/Modul-7 | Menentukan bilangan Prima.py | Menentukan bilangan Prima.py | py | 320 | python | en | code | 0 | github-code | 1 |
40076125976 | carte_chance = {
0:["Amende pour excès de vitesse", -15],
1:["La banque vous verse un dividende de € 50",50],
2:["Vous êtes imposé pour les réparations de voirie a raison de : € 40 par house et € 115 par hotel",""],
3:["Avancez jusqu'à la case Départ",0],
4:["Payez les frais de scolarité : € 150",-1... | JBretaud/monopoly_python | src/__init__.py | __init__.py | py | 17,947 | python | fr | code | 0 | github-code | 1 |
28462169332 | import pygame
import Config
import tile_map
import light_handling
win = pygame.display.set_mode(Config.WINDOW_SIZE)
clock = pygame.time.Clock()
map = tile_map.Tile_map()
light = light_handling.light_handling(map.walls, map.points)
flag = True
while flag:
clock.tick(Config.FPS)
for event in pygame.event.get(... | XT60/Dynamic-lights-2D | Loop.py | Loop.py | py | 672 | python | en | code | 10 | github-code | 1 |
73205778914 | import sys
from collections import deque
n, w, L = map(int, input().split())
weight = deque(map(int, sys.stdin.readline().split())) # 트럭 무게 리스트 (=> 대기)
bridge = deque() # 다리 위
for i in range(w-1): # w-1만큼 0으로 채우고
bridge.append(0... | eunjng5474/Study | week04/B_13335.py | B_13335.py | py | 1,902 | python | ko | code | 2 | github-code | 1 |
71904121953 | import serial
import time
import numpy as np
class DummyHead():
def __init__(self, port):
"""Will work in deg in this class"""
self.ino = serial.Serial('/dev/cu.usbmodem'+str(port), 115200, timeout=1)
time.sleep(2)
self.theta = 0
#need big range here
self.max_left ... | zacharyyamaoka/DE3-Audio | dummy_head.py | dummy_head.py | py | 2,099 | python | en | code | 0 | github-code | 1 |
27781889678 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 28 20:19:55 2019
@author: mjkiqce3
"""
import numpy as np
import multiprocessing
from multiprocessing import Pool
def computeerr(n,regressor,cc,inputtest):
for i in range(n): # We can parallelise here
datause=cc[:,:,i]
X=datause[:,0:10]
... | clementetienam/Machine-Learning-for-Model-Reduction-to-Fustion-Simulation-data_2 | Clement_Codes/clementpara.py | clementpara.py | py | 899 | python | en | code | 1 | github-code | 1 |
74473377953 | from django import forms
from .models import *
class StockCreateForm(forms.ModelForm):
class Meta:
model=Stock
fields=['category','item_name','quantity']
#prevent saving form with blank details
def clean_category(self):
category=self.cleaned_data.get('category')
if not category:
raise forms.ValidationErr... | graham218/Django-simple-stock-mgmt | stock_management_system/stockmgmt/forms.py | forms.py | py | 3,448 | python | en | code | 1 | github-code | 1 |
72243973154 | from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import urlfetch
from django.utils import simplejson as json
base = 'https://github.com/login/oauth/access_token'
client_id = '?client_id='
redirect_url = '&redirect_uri=https://githubanywhere.appspot.com/call... | abraham/github-anywhere | appengine/main.py | main.py | py | 2,176 | python | en | code | 40 | github-code | 1 |
7668299866 | from __future__ import print_function
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sys
dropOutColumn = ['MakeId', 'Url', 'FrontImagePath', 'PhotoCount', 'Price', 'Km', 'ModelName', 'VersionName', 'AdditionalFuel',
'VideoCount', 'OfferStartDate', 'OfferEndDate', 'LastUp... | liuxuhan/dataAnalysis | dataCleanNew.py | dataCleanNew.py | py | 2,442 | python | en | code | 0 | github-code | 1 |
29461251296 | from __future__ import division
import numpy
import matplotlib.cm as cm
import matplotlib.pyplot as plt
#import imp
import os,sys
import numpy as np
#importlibutil
#from scipy.optimize import minimize
from scipy.optimize import basinhopping
import random
import math
micron=1e-6
sys.path.append("/opt/... | jobayer07/integrated_photonics_design_optimization | optimize_polarization_rotator_step2.py | optimize_polarization_rotator_step2.py | py | 3,159 | python | en | code | 0 | github-code | 1 |
73088426594 | import asyncio
import logging
import signal
import session
log = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
class MyClientSession(session.ClientSession):
async def on_connected(self):
self.update_sock.subscribe('test.topic')
self.client_state = session.ClientSessionStat... | hippysurfer/pyqtzmq | test_client.py | test_client.py | py | 1,856 | python | en | code | 0 | github-code | 1 |
74826946272 | from setuptools import setup, find_packages
with open('README.rst', encoding='utf-8') as f:
long_description = f.read()
setup(
name='mycroft-ekylibre-utils',
version='0.9',
packages=find_packages(),
url='http://github.com/ekylibre',
author='Ekylibre',
author_email='rdechazelles@ekylibre.co... | ekylibre/mycroft-ekylibre-utils | setup.py | setup.py | py | 732 | python | en | code | 0 | github-code | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.