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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
40639476449 | from pygame.locals import *
import numpy as np
import os
import pygame
import sys
import time
from source.core.game_objects.bomb.Bomb import Bomb
from source.core.game_objects.bomb.Fire import Fire
from source.core.game_objects.character.Cpu import Cpu
from source.core.ui.GameOver import GameOver
from source.core.ui.M... | asilvaigor/bomberboy | source/core/engine/Match.py | Match.py | py | 10,719 | python | en | code | 1 | github-code | 1 |
39906386971 | from sklearn.model_selection import train_test_split
import tensorflow as tf
import keras
import os
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
from os import listdir
from matplotlib import image
import random
from keras.utils import np_utils
from keras import callbacks
# batch_size = high... | jansowa/pneumonia-model | load_data.py | load_data.py | py | 4,145 | python | en | code | 0 | github-code | 1 |
72827279715 | import sys
from collections import deque
dx = [1,-1,0,0]
dy = [0,0,1,-1]
n,m = map(int,sys.stdin.readline().split())
arr = []
for _ in range(m):
arr.append(list(sys.stdin.readline().strip()))
visit = [[int(1e9)]*n for _ in range(m)]
queue = deque([[0,0]])
visit[0][0] = 0
while queue:
x,y = queue.popleft()
... | clapans/Algorithm_Study | 박수근/all_code/1261.py | 1261.py | py | 767 | python | en | code | 0 | github-code | 1 |
36172478589 | class Solution:
def merge(self, intervals: List[List[int]]) -> List[List[int]]:
intervals.sort(key=lambda x: x[0])
noIntervals = [intervals[0]]
for idx in range(1, len(intervals)):
left = noIntervals[-1]
right = intervals[idx]
if(left[1] < right[0... | HyeokminFrancis/LeetCode | 0056-merge-intervals/0056-merge-intervals.py | 0056-merge-intervals.py | py | 603 | python | en | code | 0 | github-code | 1 |
33711265867 | import pandas as pd
from dateutil import parser
import numpy as np
def load_data(_file, pct_split):
"""Load test and train data into a DataFrame
:return pd.DataFrame with ['test'/'train', features]"""
# load train and test data
data = pd.read_csv(_file)
# split into train and test using pct_spli... | braddeutsch/example_pipeline | btc_battle/data/make_dataset.py | make_dataset.py | py | 1,960 | python | en | code | 0 | github-code | 1 |
30603734654 | from question_model import Question
from question_data import quiz_questions_list
from quiz_brain import QuizBrain
question_bank = []
for question in quiz_questions_list:
question_name = question['ask_question']
answer = question['the_answer']
new_question = Question(question_name, answer)
question_b... | chanmyaemaung/quiz-python-question | main.py | main.py | py | 552 | python | en | code | 3 | github-code | 1 |
41629028008 | from jira import JIRA
import pandas as pd
from datetime import datetime
import plotly
import plotly.graph_objs as go
import numpy as np
from ast import literal_eval
from IPython.display import display, HTML
pd.set_option('display.max_columns', 999)
plotly.offline.init_notebook_mode()
def product_closed_time(version)... | matthewjwall/youi-product-flow-metrics | scripts/metrics_okrs.py | metrics_okrs.py | py | 8,557 | python | en | code | 0 | github-code | 1 |
33524555484 | from tkinter import *
from tkinter.ttk import *
from tkinter import scrolledtext
import os
import tkinter.filedialog as filedialog
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
# Implement the default Matplotlib key bindings.
from matplotlib.backend_bases import key_press_handler... | JonathanCauchon/LunaUtils | GUI.py | GUI.py | py | 11,420 | python | en | code | 1 | github-code | 1 |
12622362396 | import face_recognition
from PIL import Image, ImageDraw
# This is an example of running face recognition on a single image
# and drawing a box around each person that was identified.
# Load a sample picture and learn how to recognize it.
neutral_image = face_recognition.load_image_file("neutral.jpg")
neutral_face_en... | VishalPatnaik/Facial-Emotion-Detection | expressions.py | expressions.py | py | 3,370 | python | en | code | 4 | github-code | 1 |
1270621755 | import requests
import pandas as pd
from alpha_vantage.timeseries import TimeSeries
import numpy as np
def sharpe_sortino_beta(ticker='TSLA', market_returns='SPY'):
try:
ts = TimeSeries(key='SWKZ23Y8HKIF4N4A', output_format='pandas')
data, meta_data = ts.get_daily_adjusted(ticker)
... | HudsonHurtig/TamuHack2023 | StockData.py | StockData.py | py | 1,756 | python | en | code | 0 | github-code | 1 |
30328424004 | # 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 rightSideView(self, root: Optional[TreeNode]) -> List[int]:
self.d = {}
def inorder(node... | simratsingh14/algorithmns | 199-binary-tree-right-side-view/199-binary-tree-right-side-view.py | 199-binary-tree-right-side-view.py | py | 734 | python | en | code | 0 | github-code | 1 |
11451378496 | """Handle operations with files and directories"""
import os
import sys
class FileDirectory:
"""Handle common operations with files and directories"""
def __init__(self):
pass
@staticmethod
def check_directory(directory: str, exit_operation: bool = False) -> None:
"""
Check i... | LEO-Satellites/satellite-tracking | leosTrack/utils/filedir.py | filedir.py | py | 1,318 | python | en | code | 3 | github-code | 1 |
7045820241 | #!/usr/bin/env python3
import re
import unicodedata
import gzip
import sys
class TokenStats:
def __init__(self, tid, count):
self.tid = tid
self.count = count
def transform(token):
return unicodedata.normalize("NFKD", token).encode("ascii", "ignore").decode("ascii").lower()
def process(infil... | burtgulash/diplomka | code/system/index.py | index.py | py | 2,598 | python | en | code | 0 | github-code | 1 |
24551404115 | from test09 import animal
# 부모클래스 base class, super, parent
# 자식클래스 derived class, child
# self: 자기 자신 / super: 부모
class Rabbit(animal):
def __init__(self,foots):
super().__init__(foots) ###부모의 init을 불러온다!!!###
print("토끼 초기화")
# self.eyes=2
# self.mouth=1
# self.ears=2
... | soli1101/python_workspace | d20200729/test04.py | test04.py | py | 719 | python | en | code | 0 | github-code | 1 |
26112150368 | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/custom-actions
# This is a simple example for a custom action which utters "Hello World!"
from typing import Any, Text, Dict, List
#
from rasa_sdk... | RupakBiswas-2304/covid-bot | actions/actions.py | actions.py | py | 2,360 | python | en | code | 1 | github-code | 1 |
1369223624 | import os, sys
from contextlib import contextmanager
# yay -Sa --noprovides --answerdiff=None --answerclean=None vim-plug
@contextmanager
def cd(path):
cwd = os.getcwd()
os.chdir(path)
yield
os.chdir(cwd)
def build(name):
print('build', name)
if not os.path.exists(name):
if os.system(... | pawnhearts/aur | build.py | build.py | py | 1,534 | python | en | code | 0 | github-code | 1 |
42654133120 | #!/usr/bin/env python3
# Written by Telekrex
import pygame
import sys
import os
os.environ['SDL_VIDEO_CENTERED'] = '1'
tps = 30
pygame.init()
pygame.display.set_caption('Color Calibrator')
monitor = (pygame.display.Info().current_w, pygame.display.Info().current_h)
clock = pygame.time.Clock()
void = pygame.display.set_... | telekrex/colorbase | source/colorbase.py | colorbase.py | py | 1,018 | python | en | code | 1 | github-code | 1 |
19388016465 | from audioop import ratecv
from pathlib import Path
import tkinter as tk
from tkinter import ttk
from tkinter.filedialog import askopenfilename
import PIL.Image
import PIL.ImageTk
# Defining of global variables...
_MODULE_DIR = Path(__file__).resolve().parent
class GifAnimationWin(tk.Tk):
def __init__(
... | megacodist/a-bit-more-of-an-interest | Image/gif-animation.pyw | gif-animation.pyw | pyw | 4,641 | python | en | code | 0 | github-code | 1 |
5103258436 | from datetime import date
atual = date.today().year
totalmenor = 0
totalmaior = 0
for ano in range(1, 8):
pessoa = int(input('Em que ano a {}ª nasceu? '.format(ano)))
idade = atual - pessoa
print('Essa pessoa tem {} anos.'.format(idade))
if idade < 21:
totalmenor += + 1
else:
totalma... | RaphaelHenriqueOS/Exercicios_Guanabara | Desafio054.py | Desafio054.py | py | 446 | python | pt | code | 0 | github-code | 1 |
39619159455 | # This string is using the backslash t (\t) to create a tab in
# the string when printing.
tabby_cat = "\tI'm tabbed in."
# the "\n" is creating a new line, splitting the text where inserted.
persian_cat = "I'm split\non a line"
# The backslash is saying to "escape" with the backslash?
backslash_cat = "I'm \\ a \\ cat"... | MichealGarcia/code | py3hardway/ex10.py | ex10.py | py | 674 | python | en | code | 0 | github-code | 1 |
13806395486 | """
Yo que se ya
"""
import argparse
import mido
import logging
from timeit import default_timer as timer
from video import Video
# from moviepy.editor import *
DEBUG = True
def print_d(msg):
if DEBUG:
print(msg)
def maxSymNotes(notes):
curr = max = 0
for note in notes:
if note[2] == 0... | nestor98/pymidi2vid | editor.py | editor.py | py | 12,213 | python | en | code | 1 | github-code | 1 |
13223932657 | from reference_model.Lactose.LactoseCrystallizer import LactoseCrystallizer
from data.Data import Data, Batch
from domain.Domain import Domain
import numpy as np
import seaborn as sns
from data.Illustration import Illustration
import matplotlib.pyplot as plt
sns.set()
# Construct discretized domain object for hybrid m... | rfjoni/ParticleModel | reference_model/Lactose/demo.py | demo.py | py | 1,694 | python | en | code | 7 | github-code | 1 |
36584247654 | import subprocess
def run_script_1():
subprocess.call(["bash", "gke-db-demo.sh"])
def run_script_2():
subprocess.call(["bash", "gke-hol.sh"])
def run_script_3():
subprocess.call(["bash", "k3s-db-demo.sh"])
def run_script_4():
subprocess.call(["bash", "se-demo-eks.sh"])
def main():
print("_____... | jdtate101/jdtate101 | picker.py | picker.py | py | 1,392 | python | en | code | 1 | github-code | 1 |
15279915711 | '''
APPROACH 1: FOLLOW THE RULES
We can simply check if the string follows all the rules, and we can break the rules into groups.
1. Digits (one of ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"])
Both decimal numbers and integers must contain at least one digit.
2. A sign ("+" or "-")
Sign characters ar... | onyxolu/DSA | TunmiseFB/TopHardQuestions/validNumber.py | validNumber.py | py | 3,233 | python | en | code | 0 | github-code | 1 |
10461388653 | """
Модуль для работы с базой данных sqlite3.
"""
import sqlite3
from typing import Dict
import os
PATH = 'db'
DATABASE = 'db.sqlite3'
connect = sqlite3.connect(os.path.join(PATH, DATABASE))
cursor = connect.cursor()
def create_db() -> None:
"""
Создает базу данных и таблицы в ней,
если база и таблицы ... | darkus007/FlatScrapper | database/db_sqlite.py | db_sqlite.py | py | 2,466 | python | ru | code | 0 | github-code | 1 |
26276689512 | import pandas as pd
import json
import dash
from dash import dcc,html, callback
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import plotly.express as px
import dash_bootstrap_components as dbc
import numpy as np
import pathlib
dash.register_page(__name__, path = '/', name="Accueil")
## D... | louislat/deployer | pages/pg0.py | pg0.py | py | 2,800 | python | fr | code | 0 | github-code | 1 |
75108634913 | #!/usr/bin/python3
"""
Author: cg
Date: 2020/7/11 14:49
"""
from db.mapping.basemap import BaseMap
from db.mapping.jiangxi_river.jiangxi_river_item import JiangxiRiverItem
class JiangxiRiver(BaseMap):
@staticmethod
def is_instance(data):
return isinstance(data, JiangxiRiverItem)
@staticmeth... | 0827cg/cgspiders | db/mapping/jiangxi_river/jiangxi_river.py | jiangxi_river.py | py | 744 | python | en | code | 0 | github-code | 1 |
16625738937 | """ GLPointCloudPlotItem.py - extension of pyqtgraph for plotting pointclouds
This file implements an extension of pyqtgraph for visualizing PointClouds.
Last update: 04/10/2013, Tadewos Somano(tadewos85@gmail.com)
"""
from OpenGL.GL import *
from pyqtgraph.opengl.GLGraphicsItem import GLGraphicsItem
__all__ =... | GeoDTN/Communication-Technologies-Multimedia | GLPointCloudPlotItem.py | GLPointCloudPlotItem.py | py | 2,544 | python | en | code | 0 | github-code | 1 |
7426054522 | f=open('two_cities_ascii.txt','r')
lines=f.read()
f.close()
#convert words to binary form of length 7
import math
def toBinary (a):
k,n=[],[]
for i in a :
k.append(ord(i))
for i in k:
n.append(int(bin(i)[2:]))
return n
binary=toBinary(lines)
binarystr = [str(x) for x in bina... | glykeriak/ex35710 | erg10.py | erg10.py | py | 1,212 | python | en | code | 0 | github-code | 1 |
31589162522 | import itertools
from osgeo import ogr,osr
import shapely.geometry
# Convert Shapely type to OGR type
shapely_to_ogr_type = {
shapely.geometry.linestring.LineString: ogr.wkbLineString,
shapely.geometry.polygon.Polygon: ogr.wkbPolygon,
}
def to_datasource(shape):
"""Converts an in-memory Shapely object t... | pism/uafgi | uafgi/util/shapelyutil.py | shapelyutil.py | py | 1,095 | python | en | code | 1 | github-code | 1 |
2248926257 | from cmp.automata import State
from cmp.utils import Token
from cmp.tools.my_regex import regex_automaton
class Lexer:
def __init__(self, table, eof):
self.eof = eof
self.regexs = self._build_regexs(table)
self.automaton = self._build_automaton()
def _build_regexs(self, table):
... | mavaldivie/Grammar-Analyser | Grammar Analyzer MIO/cmp/tools/Lexer.py | Lexer.py | py | 2,324 | python | en | code | 3 | github-code | 1 |
15218879692 | def calculate_frequencies(file_contents):
# Here is a list of punctuations and uninteresting words you can use to process your text
punctuations = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
uninteresting_words = ["the", "a", "to", "if", "is", "it", "of", "and", "or", "an", "as", "i", "me", "my", \
"we", "our", ... | noodels12/noodels12 | final.py | final.py | py | 1,368 | python | en | code | 0 | github-code | 1 |
18042327734 | # -*- coding: utf-8 -*-
from django import forms
from ..models import Programacao
class ProgramacaoForm(forms.ModelForm):
class Meta:
model = Programacao
fields = (
'programa', 'data_inicio', 'data_fim'
)
def clean(self):
cleaned_data = super(ProgramacaoForm, self... | rbiassusi/grade_programacao | grade_programacao/radio/forms/programacaoform.py | programacaoform.py | py | 549 | python | pt | code | 0 | github-code | 1 |
17166477183 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 3 15:50:28 2021
@author: mozhenling
"""
import copy
import numpy as np
import scipy.io as scio
import matplotlib.pyplot as plt
from dbtpy.filters.afilter import filter_fun
from dbtpy.findexes.afindex import findex_fun
from dbtpy.findexes.sigto import sig_real_to_env
#--... | mozhenling/dbtree | dbtpy/funs/fun_diag.py | fun_diag.py | py | 18,106 | python | en | code | 4 | github-code | 1 |
30500879987 | from naulang.compiler.context import FunctionCompilerContext
from naulang.compiler import ast
from naulang.compiler.error import CompilerException
from naulang.interpreter.bytecode import Bytecode
from naulang.interpreter.objectspace.primitives.builtin_definitions import builtin_functions
_builtin_functions = builtin... | samgiles/naulang | naulang/compiler/translator.py | translator.py | py | 13,563 | python | en | code | 9 | github-code | 1 |
37714246796 | from building import *
Import('rtconfig')
src = []
cwd = GetCurrentDir()
# add mb85rs16 src files.
if GetDepend('PKG_USING_MB85RS16'):
src += Glob('src/mb85rs16.c')
if GetDepend('PKG_USING_MB85RS16_SAMPLE'):
src += Glob('examples/mb85rs16_sample.c')
# add mb85rs16 include path.
path = [cwd + '/inc']
# a... | XiaojieFan/mb85rs16 | SConscript | SConscript | 454 | python | en | code | 3 | github-code | 1 | |
185545694 | import pickle
import struct
from pathlib import Path
from interact import interact as io
from utils import Path_utils
import samplelib.SampleHost
from samplelib import Sample
packed_faceset_filename = 'faceset.pak'
class PackedFaceset():
VERSION = 1
@staticmethod
def pack(samples_path):
sample... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITLAB_REPOS/bytehackr@DeepFaceLab/samplelib/PackedFaceset.py | PackedFaceset.py | py | 3,627 | python | en | code | 2 | github-code | 1 |
31379366652 | from bs4 import BeautifulSoup as bs
import csv
import requests
URL = 'https://kaktus.media/?lable=8&date=2022-10-15&order=time'
dict_with_news = {}
def get_html(url):
response = requests.get(url)
return response.text
def get_soup(html):
soup = bs(html, 'lxml')
return soup
def get_list_news():
... | 31nkmu/hackathon_bot_kaktus_media | parsing.py | parsing.py | py | 1,183 | python | en | code | 1 | github-code | 1 |
24557090775 | # Server Side #
import socket
import threading
# 접속 정보
host = "127.0.0.1"
port = 5000
# 서버 시작
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind((host,port))
server.listen()
# 여러 사용자의 접속 허용
clients = []
nicknames = []
# 접속중인 모든 사용자에게 메세지 전달
def broadcast(msg):
for client in clients:
... | soli1101/python_workspace | d20200805/network09.py | network09.py | py | 2,111 | python | ko | code | 0 | github-code | 1 |
26661499475 | # -*- coding: utf-8 -*-
from scrapy import Spider, Request, FormRequest
from MobaiSpider.items import MobaispiderItem
import numpy as np
import json
import time
class MobaiSpider(Spider):
name = 'mobai'
# allowed_domains = ['mobike.com']
# start_urls = ['http://mobike.com/']
url = "https://mwx.mobike.... | jllan/spiders_mess | MobaiSpider/MobaiSpider/spiders/mobai.py | mobai.py | py | 2,846 | python | en | code | 0 | github-code | 1 |
72361933154 | import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
def barplotter(df, ax, period='Q'):
subdf = df[['time','predicted_sentiment']]
subdf['y1'] = subdf['predicted_sentiment'].replace({-1:0})
subdf['y2'] = subdf['predicted_sentiment'].replace({1:0,-1:1})
subd... | kylejcaron/Text_Summarization | Dashboard/static/src/util.py | util.py | py | 1,993 | python | en | code | 0 | github-code | 1 |
43687469628 | # -*- coding: utf-8 -*-
import os,sys,inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0,parentdir)
from PyQt4 import QtGui
from PyQt4 import QtCore
import os
import modules.filter as tableWidgetFilters
import modules.... | Doberm4n/POEStashJsonViewer | ui/main_layout.py | main_layout.py | py | 8,943 | python | en | code | 0 | github-code | 1 |
10361363697 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
## 1d example
# camera is at origin and looks right
# objects have position, importance, transparency
## Formulas
# extinction \mu(x) = \alpha_x
# optical_depth \tau(d_i) = \sum_j^i - \ln(1-\alpha... | BETuncay/demo-doo | example1d.py | example1d.py | py | 6,164 | python | en | code | 0 | github-code | 1 |
40010406506 | def minRemoveToMakeValid(s: str) -> str:
s = list(s)
stack = []
for i in range(len(s)):
if s[i] == '(':
stack.append(i)
elif s[i] == ')':
if stack:
stack.pop()
else:
s[i] = ''... | wyy1234567/leetcode_problems | string.py | string.py | py | 10,276 | python | en | code | 0 | github-code | 1 |
24383408411 | """Script to gather IMDB keywords from 2013's top grossing movies."""
import sys
from os import path
import time
from business_logic.compare_prices import ComparePrices
import logging
from business_logic.logic import Logic
logger = logging.getLogger('ftpuploader')
hdlr = logging.FileHandler('ftplog.log')
formatter = lo... | life-of-pi-thon/crypto_carluccio | lukrative.py | lukrative.py | py | 1,077 | python | en | code | 0 | github-code | 1 |
32437306078 | # Continuous cart pole using policy gradients (PG)
# Running this script does the trick!
import gym
import numpy as np
from gym import wrappers
# env = gym.make('InvertedPendulum-v1')
env = gym.make('Pendulum-v0')
# env = wrappers.Monitor(env, '/home/sid/ccp_pg', force=True)
def simulate(policy, steps, graphics=Fal... | geyang/reinforcement_learning_learning_notes | gym-sessions/ge-baselines/simple_vpg.py | simple_vpg.py | py | 3,296 | python | en | code | 3 | github-code | 1 |
30327998982 | from time import sleep
print('')
print('-='*18)
print('''Olá
Seja Bem-Vindo ao código do Brayan''')
print('-='*18)
print('{:^35}'.format('Maior Que Menor Que'))
print('')
sleep(2)
maior = 0
menor = 0
for c in range(1, 4):
n = int(input('Digite o {}º número: '.format(c)))
if c == 1:
maior = n
... | BigBraim/exercicio-28-08 | MaiorQueMenorQue.py | MaiorQueMenorQue.py | py | 540 | python | pt | code | 0 | github-code | 1 |
2749664456 | #!/usr/bin/env python
import sys
import ast
last_pair = None
cnt = 0
for line in sys.stdin:
line = line.strip()
pair1, sim, pair2, followee_list = line.split('\t')
followee_list = ast.literal_eval(followee_list)
if pair1 == last_pair:
if cnt < 3:
if pair1[-3:] =="531":
... | guswns00123/Community-Detection-in-SNS | topk.py | topk.py | py | 848 | python | en | code | 0 | github-code | 1 |
27272075496 | # 실버 5
# 7785. 회사에 있는 사람
import sys
input = sys.stdin.readline
dic = {}
for _ in range(int(input())):
s = input().split()
dic[s[0]] = s[1]
for k in sorted(dic.keys(), reverse=True):
if dic[k] == 'enter':
print(k) | honggom/TIL | problem-solving/baekjoon/hash/7785.py | 7785.py | py | 253 | python | ko | code | 0 | github-code | 1 |
1747709397 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import numpy as np
# input
N=100
returns_input = np.array([0.04,0.06])
volas_input = np.array([0.06,0.10])
corr_input=0
def covariance(corr_c... | investeer-io/markowitz_bokeh | dashEfficientFrontierSlider.py | dashEfficientFrontierSlider.py | py | 2,474 | python | en | code | 0 | github-code | 1 |
1101552482 | import torch
import torch.optim as optim
from torch.autograd import Variable
from torchvision import datasets, transforms
import os
import matplotlib.pyplot as plt
from autoencoder import Autoencoder
from gmmn import *
from constants import *
if not os.path.exists(root):
os.mkdir(root)
if not os.path.exists(mod... | Abhipanda4/GMMN-Pytorch | train.py | train.py | py | 3,369 | python | en | code | 13 | github-code | 1 |
1911298880 | import pandas as pd
import numpy as np
df = pd.read_csv('H:\GiantFrame.csv', error_bad_lines=False)
x = df['vtti.left_marker_probability']
x = list(x.values)
bins = [0, 1, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1024]
hist, bins = np.histogram(x, bins=bins)
| cschwarz68/DROW | utilities/OneSecondProbabilityHisto.py | OneSecondProbabilityHisto.py | py | 266 | python | en | code | 0 | github-code | 1 |
1040586228 | def factorial_recursive(n):
if n==0 or n==1:
return 1
else:
return n * factorial_recursive(n-1)
def factorial_iterative(n):
fac = 1
for i in range(n):
fac = fac * (i+1)
return fac
def fibonacci(n):
if n==1:
return 0
elif n==2:
return 1
else:
... | salman-naheed/python | programs/factorial-fibonacci.py | factorial-fibonacci.py | py | 615 | python | en | code | 0 | github-code | 1 |
5227372260 | # 移动止盈止损策略 赢损比自定义 默认1.5：1
import pymysql as sql
import pandas as pd
import requests as req
db = sql.connect(host="localhost", user="root", password="74110", database="quant-trade", port=3307,
autocommit=True)
sina_url = 'http://hq.sinajs.cn/list='
# 获取新浪财经的指定股票实时数据返回dateframe类型
#参考链接 https://www.jia... | ZHAOHUHU/quant-trade | com/quant/trade/zhao/tralling_stop.py | tralling_stop.py | py | 1,024 | python | en | code | 0 | github-code | 1 |
21313047711 | from sys import stdin
import sys
class treeNode:
def __init__(self, data):
self.data = data
self.children = []
def __str__(self):
return str(self.data)
#main
sys.setrecursionlimit(10**6)
## Read input as specified in the question.
## Print output as specified in the questi... | piyushkashyap07/Generic-Tree | height.py | height.py | py | 1,109 | python | en | code | 0 | github-code | 1 |
29598602871 | import numpy as np
import keras
# from keras.models import Sequential
from keras.models import *
from keras.layers import *
import random
from sklearn.model_selection import train_test_split
#this one will be used for normalization and standardization
from sklearn import preprocessing
import scipy.io as sio
# We us... | ell-hol/mpc-DL-controller | simulate_DL_controller.py | simulate_DL_controller.py | py | 16,307 | python | en | code | 61 | github-code | 1 |
29062292111 | from question_model import Question
from data import question_data
from quiz_brain import QuizBrain
question_bank = []
for question in question_data:
question_bank.append(Question(question["text"], question["answer"]))
brain = QuizBrain(question_bank)
while brain.stillHasQuestions():
brain.next_question()
... | miklealex/PythonProjects | TrueFalseQuiz/main.py | main.py | py | 429 | python | en | code | 0 | github-code | 1 |
24402276077 | import os
import numpy as np
import pandas as pd
from catboost import CatBoost, Pool
import matplotlib.pylab as plt
from model import Model
from util import Util
class ModelCatBoost(Model):
def train(self, tr_x, tr_y, va_x=None, va_y=None):
# ハイパーパラメータの設定
params = dict(self.params)
cat_... | riron1206/lgb_tuning | src/model_catboost.py | model_catboost.py | py | 2,770 | python | ja | code | 0 | github-code | 1 |
15238963233 | import json
import pickle
def getNumToTagsMap():
with open("./metadata/all_tags.cls") as fi:
taglist = map(lambda x: x[:-1], fi.readlines())
with open("./metadata/mappings.json") as fi:
mapping = json.loads(fi.read())
finalTag = list(map(lambda x: mapping[x], taglist))
return finalTa... | kyuyeonpooh/objects-that-sound | utils/util.py | util.py | py | 1,765 | python | en | code | 31 | github-code | 1 |
27172359979 | from django import forms
from .models import Tag, Post
from django.core.exceptions import ValidationError
class PostForm(forms.ModelForm):
class Meta:
model = Post
fields = ['title', 'slug', 'body', 'tags']
widgets = {
'title': forms.TextInput(attrs={'class': 'form-con... | HolidayMan/pinkerblog | blog/engine/forms.py | forms.py | py | 2,745 | python | en | code | 0 | github-code | 1 |
7409145188 | import pandas as pd
import numpy as np
import loaders as ld
import analytics as an
def cooc(opens,closes,costs=0.0001,cutoff=1,strength=10000,prec=2,ret=0,sw=0,inv=0):
k = opens.shape[1]-opens.isnull().sum(axis=1)
CO_ret = np.log(opens/closes.shift(1))
OC_ret = closes/opens-1
#OO_ret = np.log(opens/ope... | mlabedzki/Fortuna | strategies.py | strategies.py | py | 6,008 | python | en | code | 0 | github-code | 1 |
916042016 | from urllib import request
from urllib import parse
import json
requestUrl = "http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule"
# http://fanyi.youdao.com/translate_o?smartresult=dict&smartresult=rule # 去掉_o
Form_data = {}
Form_data["i"] = 'Hello'
Form_data["from"] = "... | NotMyYida/AndroidBookNote | pycharmWS/webcrawler/JackCui_2.py | JackCui_2.py | py | 844 | python | en | code | 0 | github-code | 1 |
22039745744 | query_variables = {
"wallet": "tz1NqA15BLrMFZNsGWBwrq8XkcXfGyCpapU1",
"timestart": "2021-07-01",
"timeend": "2022-06-30"
}
buys_start = "2019-01-01"
currency = "AUD"
import json
import os
import datetime
import csv
import requests
# Prepare conversion rates
# Using the RBA exchange rates spreadsheet cleaned up... | mattebb/tezos-nft-tax-report | report.py | report.py | py | 8,757 | python | en | code | 2 | github-code | 1 |
70766232034 | from stable_baselines3 import A2C
from algos.PlaNet.planet import PlaNet
from algos.PlaNet.policies import DiscreteMPCPlanner
from algos.PlaNet.world_model import DreamerModel
import os
from buffers.chunk_buffer import ChunkReplayBuffer
from buffers.introspective_buffer import IntrospectiveChunkReplayBuffer
from algos... | GittiHab/mbrl-thesis-code | algos/setup.py | setup.py | py | 3,496 | python | en | code | 1 | github-code | 1 |
15278137621 |
# Hashmap + list
from collections import Counter
class FindSumPairs:
def __init__(self, nums1, nums2):
self.n1, self.n2 = Counter(nums1), Counter(nums2)
self.n = [i for i in nums2]
def add(self, index: int, val: int) -> None:
self.n2[self.n[index]] -= 1 # Remove the element from the ... | onyxolu/DSA | Bloomberg/Top 100/FindingPairsWithACertainSum.py | FindingPairsWithACertainSum.py | py | 827 | python | en | code | 0 | github-code | 1 |
16556960935 | # https://www.acmicpc.net/problem/10820
# Solving Date: 20.03.28.
# strip()은 공백도 지우기 때문에 명시적으로 '\n'만 지우도록 만든다.
# sys.stdin.readline은 input과 다르게 EOF가 입력되면 빈 string으로 인지한다.
# 이는 sys.stdin이 file과 유사한 객체라고 한다.
# https://cnpnote.tistory.com/에서 [PYTHON]-결말이없는-파이프에서-어떻게-파이썬으로-stdin을-읽는가?를 참고한다.
import sys
def string_count(... | imn00133/algorithm | BaekJoonOnlineJudge/CodePlus/200DataStructure/Appendix/baekjoon_10820.py | baekjoon_10820.py | py | 1,510 | python | ko | code | 0 | github-code | 1 |
70335860194 | class Node():
def __init__(self, data):
self.data = data
self.next = None
self.prev = None
class DoublyLinkedList():
def __init__(self):
self.head = None
self.tail = None
self.size = 0
def insert_from_head(self,data):
new_node = Node(dat... | JayashBhandary/DS | doublell.py | doublell.py | py | 2,784 | python | en | code | 0 | github-code | 1 |
39496586821 | from sys import stdin
def dfs(x,y,n,m,maps):
if x == n-1 and y == m-1:
return 1
else:
if dp[y][x] == -1:
dp[y][x] = 0
for ni,nj in [[0,1],[1,0],[0,-1],[-1,0]]:
dx = x + ni
dy = y + nj
... | yundaehyuck/Python_Algorithm_Note | problem_code/dynamic_programming/1520.py | 1520.py | py | 758 | python | en | code | 0 | github-code | 1 |
38933917008 | #!/usr/bin/env python
# encoding: utf-8
"""
@author: zzz_jq
@contact: zhuangjq@stu.xmu.edu.cn
@software: PyCharm
@file: data_process.py
@create: 2020/11/30 16:06
"""
import re
import os
from pathlib import Path
from tqdm import tqdm
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text imp... | TsinghuaDatabaseGroup/AI4DBCode | Spark-Tuning/prediction_ml/spark_tuning/by_stage/ml_baselines/data_process_one_line.py | data_process_one_line.py | py | 3,683 | python | en | code | 56 | github-code | 1 |
11665650445 | from __future__ import print_function
'''Procedure'''
a = 3
# 1-5 N/A
'''Part 1: Conditionals'''
# 6a Prediction
assert((a**2 >= 9 and not a>3) == True)
# 6b Prediction
assert((a+2 == 5 or a-1 != 3) == True)
# 7 Condition
x, y = (90, 115)
assert(40 < x and x < 130 and 100 <= y and y <= 120)
'''Part 2: if-else S... | kabir-shah/cloud9-python | 1.3.3/Shah_1.3.3.py | Shah_1.3.3.py | py | 3,550 | python | en | code | 0 | github-code | 1 |
22652070617 | #
# Author: Tim Burns
# License: Apache 2.0
#
# A Testing Class to Validate Scraping the KEXP Playlist for the blog
# https://www.owlmountain.net/
# If you like this, donate to KEXP: https://www.kexp.org/donate/
import unittest
import os
import fnmatch
import reporting.layers.awslayer
import spark_catalog
class Spar... | timowlmtn/bigdataplatforms | src/kexp/pytest/test_kexp_1_api_raw_to_bronze_playlist.py | test_kexp_1_api_raw_to_bronze_playlist.py | py | 1,965 | python | en | code | 3 | github-code | 1 |
37413122640 | import torch
import torch.nn as nn
import torch.nn.functional as F
from model.octconv import *
import model.venconv as venconv
from model.median_pooling import median_pool_2d
class SNRom(nn.Module):
def __init__(self, in_channels=1, hide_channels=64, out_channels=1, kernel_size=3, alpha_in=0.5,
... | StephenYang190/SpeckleNoisePytorch | model/SNRom.py | SNRom.py | py | 4,128 | python | en | code | 0 | github-code | 1 |
74407308832 | from fastapi import Depends, FastAPI
app = FastAPI()
"""
# Dependency injection: a function that abstracts logic and can be provided to
# other functions as dependency.
Whenever a new request arrives to a function that includes a dependency, fastAPI
runs the dependency function with the corresponding parameters, an... | jcaguirre89/learning-fastapi | another_app/dependency.py | dependency.py | py | 1,980 | python | en | code | 0 | github-code | 1 |
70107487715 | from django.urls import path
from . import views
urlpatterns = [
path('list_plants/', views.all_plants, name='list_plants'),
path('add_plant/', views.add_plant, name='add_plant'),
path('edit_plant/<int:plant_id>/', views.edit_plant, name='edit_plant'),
path('plant_detail/<int:location_id>/<int:pk>/... | Stephen-J-Whitaker/wild-carbon | plants/urls.py | urls.py | py | 1,029 | python | en | code | 0 | github-code | 1 |
27651236552 | '''
This code is based on https://github.com/ekwebb/fNRI which in turn is based on https://github.com/ethanfetaya/NRI
(MIT licence)
'''
from synthetic_sim_comperrors import *
import time
import numpy as np
import argparse
import os
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
parser = argpar... | vassilis-karavias/fNRIsigma-master | data/generate_dataset_comperrors.py | generate_dataset_comperrors.py | py | 5,643 | python | en | code | 2 | github-code | 1 |
569319840 | from rest_framework import serializers
# from departamentos.api.serializers import DepartamentoSerializer
# from municipios.api.serializers import MunicipioSerializer
from usuarios.models import Usuario
class UsuarioSerializer(serializers.ModelSerializer):
# municipio = MunicipioSerializer()
# departamento =... | OscarRuiz15/BackendTG | usuarios/api/serializers.py | serializers.py | py | 727 | python | es | code | 0 | github-code | 1 |
15850354420 | import pandas as pd
from typing import Union, List, Optional, Tuple
from bokeh.io import output_notebook
from bokeh.resources import INLINE
from bokeh.plotting import figure, gridplot
from bokeh.plotting import show as _show
from pandas.api.types import is_string_dtype
from bokeh.palettes import Set1
output_notebook(I... | idiotekk/unknownlib | lib/unknownlib/plt/bk.py | bk.py | py | 2,990 | python | en | code | 0 | github-code | 1 |
24154817598 | #!/usr/bin/env python
'''
Mizoo rename all your photos with a description of what is in them.
It uses Microsoft Computer Vision API's to describe what it sees on
the image and rename the file to that description.
By naming your photos with a description of the content you will
never have to dig up an old photo from y... | albertoqa/mizoo | mizoo/mizoo.py | mizoo.py | py | 3,866 | python | en | code | 1 | github-code | 1 |
39278591910 | import cv2
import numpy as np
import imutils
PATH_TEMPLATE_MSLOGO = r"C:\Users\ASUS\Desktop\Working\PROJECT\Mybotic Product\mySejahtera Scan\images\template images\mslogo.png"
PATH_TEMPLATE_TICKMARK = r"C:\Users\ASUS\Desktop\Working\PROJECT\Mybotic Product\mySejahtera Scan\images\template images\tickmark.png"
SIMILAR... | Awexander/mySejahtera-scanner | mysejahtera_scan_v1.py | mysejahtera_scan_v1.py | py | 3,056 | python | en | code | 0 | github-code | 1 |
16673975835 | class Trie:
def __init__(self):
self.children = [None] * 26
self.w = ''
def insert(self, w):
node = self
for c in w:
idx = ord(c) - ord('a')
if node.children[idx] is None:
node.children[idx] = Trie()
node = node.children[idx]
... | QinHongZhe/hongzhe-leetcode | solution/0200-0299/0212.Word Search II/Solution.py | Solution.py | py | 1,207 | python | en | code | 1 | github-code | 1 |
72185345314 | QUANT_MASK = 0xf
SEG_SHIFT = 4
seg_aend = [
0x1F, 0x3F, 0x7F, 0xFF,
0x1FF, 0x3FF, 0x7FF, 0xFFF
]
def find_aend(data, size=8):
for i in range(size):
if data <= seg_aend[i]:
return i
return size
def linear_to_alaw(data):
data = data >> 3
... | alecwu44743/r-dap_pre-exam | testing_lab/convert.py | convert.py | py | 935 | python | en | code | 0 | github-code | 1 |
27981377485 | import requests
import json
import numpy as np
import time
import pandas as pd
from pymysql import connect
import csv
from custom_send_email import sendEmail
# 获取订单簿数据
class GetData(object):
'''
获取对应api bitmax数据，计算固定比例的数据，监控变化，发送邮件
'''
def __init__(self,url):
self.url = url
# self.da... | jackendoff/bilian_bitmax_data | BITMAX_jackendoff.py | BITMAX_jackendoff.py | py | 10,355 | python | en | code | 1 | github-code | 1 |
17219238836 | n = int(input())
input_str = input()
rows = [input_str[n*i:n*(i+1)] for i in range(n)]
# "IXIXX", "XXCXA", "XSXXP", ...
goal = "ICPCASIASG"
moves = ((1,2), (2, 1), (-1,2), (-2, 1), (1,-2), (2, -1), (-1,-2), (-2, -1))
def isvalid(x,y):
return 0 <= x < n and 0 <= y < n
def dfs(x,y, index_in_goal):
if index_in_goal ... | MatthewFreestone/Kattis | knightsearch/knightsearch.py | knightsearch.py | py | 649 | python | en | code | 0 | github-code | 1 |
36030957599 | #Zadání cvičení: Využijte příklady z výkladu. Upravte je tak, aby
#- se program zeptal uživatele i na věk, a ověřil, že má alespoň 13 let. Pokud nemá alespoň 13 let, nezeptá se už na počet lístků a skončí (tj. nákup neproběhne).
#-bonus pro netrpělivé :slightly_smiling_face: viz výše + místo slevy 10% uplatní akci "při... | FSebestova/python-kurz-2023 | procviceni1.py | procviceni1.py | py | 877 | python | cs | code | 0 | github-code | 1 |
73320662115 | import struct
import numpy as np
# Convert Blender identifiers to Photoshop ones
dict_color_mode = {'BW': 1, 'RGB': 3, 'RGBA': 3}
dict_blend_mode = {'REGULAR': b'norm',
'HARDLIGHT': b'hLit',
'ADD': b'lite',
'SUBTRACT': b'fsub',
'MULTIPLY': b'm... | chsh2/nijiGPen | file_formats.py | file_formats.py | py | 14,262 | python | en | code | 157 | github-code | 1 |
19586982312 | import os, pathlib
from pydo import *
this_dir = pathlib.Path(__file__).parent
try:
from . import config
except ImportError:
log.error('Error: Project is not configured.')
exit(-1)
try:
jobs = int(os.environ['PYDOJOBS'], 10)
except Exception:
import multiprocessing
jobs = multiprocessing.cpu... | ali1234/rpi-ramdisk | __init__.py | __init__.py | py | 1,348 | python | en | code | 79 | github-code | 1 |
25561714496 | """
File: algorithms.py
Project 10.10
Updates to profile heap sort. The heap now needs a reference
to the profiler so it can record comparisons and exchanges.
Algorithms configured for profiling.
"""
from profiler import Profiler
from arrayheap import ArrayHeap
def heapSort(lyst, profiler):
heap = ArrayHeap(... | hieugomeister/ASU | CST100/Chapter_10/Chapter_10/Ch_10_Solutions/Ch_10_Projects/10.10/algorithms.py | algorithms.py | py | 447 | python | en | code | 0 | github-code | 1 |
8707312288 | #----------------------------------------------------------------------
# Package Management
#----------------------------------------------------------------------
import os
import os.path as op
import textwrap
import argparse
import pandas as pd
import re
import zipfile
from tqdm import tqdm, trange
import hashlib
... | muscbridge/comprssr | comprssr.py | comprssr.py | py | 7,544 | python | en | code | 0 | github-code | 1 |
43751970541 | #!/usr/bin/env python3
"""
Scraper for the 'The Flavor Bible'.
Created by Jon.
"""
import json
import os
import re
import sqlite3
import sys
import ebooklib
from ebooklib import epub
from bs4 import BeautifulSoup
latest_id = 0
def createTables(c):
c.execute('''CREATE TABLE ingredients(
id int... | tristanchu/FlavorFinder | dev/scraper.py | scraper.py | py | 11,938 | python | en | code | 2 | github-code | 1 |
9293506322 | #this model aim to reduce number of rounds but will continue to use random method
import random
from datetime import datetime
start_time = datetime.now()
final_state = [1,2,3,4,5,6,7,8]
initial_state = [0,0,0,0,0,0,0,0]
#random initail state with different position of number
while 0 in initial_state:
rand = rand... | Tanisa124/AI-Practice | heuristic_lessRound.py | heuristic_lessRound.py | py | 2,058 | python | en | code | 0 | github-code | 1 |
31223430043 | '''______________________________________________________________________________________________________
Crie um pg que simule o funcionamento de um caixa eletrônico. no início pergunte ao usuário qual o valor a ser sacado
e o pg vai informar quantas cédulas de cada valor serão entregues.
Obs.: cedulas de 1, 10, 20 e ... | FrancisPaull/CursoemvideoPython | exercicios/ex071 interropendo rep while caixa eletronico.py | ex071 interropendo rep while caixa eletronico.py | py | 1,314 | python | pt | code | 0 | github-code | 1 |
41495665790 | import torch
import torch.nn as nn
class MASRModel(nn.Module):
def __init__(self, **config):
super().__init__()
self.config = config
@classmethod
def load(cls, path):
package = torch.load(path)
state_dict = package["state_dict"]
config = package["config"]
m... | nobody132/masr | models/base.py | base.py | py | 1,176 | python | en | code | 1,754 | github-code | 1 |
35465861402 | import itertools
import torch.nn as nn
import decoder
import encoder
import modules
from utils import MergeDict
class Model(nn.Module):
def __init__(self, sample_rate, vocab_size):
super().__init__()
self.spectra = modules.Spectrogram(sample_rate)
# self.encoder = encoder.Conv2dRNNEnco... | vshmyhlo/listen-attend-and-speell-pytorch | model.py | model.py | py | 2,131 | python | en | code | 11 | github-code | 1 |
6648609464 | import logging
import math
import numpy as np
import util.annotation
import util.metadata_service
import util.provenance_metadata_store
from util.annotation import AnnotationStore
from engine import app
from ooi_data.postgres.model import Parameter, Stream, NominalDepth
from util.asset_management import AssetManagemen... | oceanobservatories/stream_engine | util/stream_request.py | stream_request.py | py | 36,193 | python | en | code | 1 | github-code | 1 |
16239780344 | import os
import sys
import PIL
import time
import random
import logging
import datetime
import os.path as osp
import torch
import torch.backends
import torch.nn as nn
import torch.backends.cudnn
import torch.distributed as dist
from utils.loss import OhemCELoss
from utils.utils import prepare_seed
from utils.utils i... | NoamRosenberg/autodeeplab | train_distributed.py | train_distributed.py | py | 8,976 | python | en | code | 306 | github-code | 1 |
30296294545 | import serial
import sys
import time
def out_gpio(value):
f_val = open('/sys/class/gpio/gpio18/value', 'w')
f_val.write(value)
f_val.close()
# первый байт req - ожидаемая длина ответа
def make_request(req):
out_gpio('1')
port.write(req[1:])
time.sleep(0.004)
out_gpio('0')
while(port.inWaiting() == 0):
time.... | almarkov/quest | test.py | test.py | py | 651 | python | ru | code | 0 | github-code | 1 |
18455156740 | #import libraries
from sklearn.model_selection import train_test_split
import numpy as np
from imblearn.over_sampling import SMOTE
from svm_constructdata import constructdata
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import RandomizedSearchCV
#generate data
features,labels = cons... | kksuresh25/Cancer-AI | Random Forest/rf_tunehyperparameters.py | rf_tunehyperparameters.py | py | 2,420 | python | en | code | 1 | github-code | 1 |
14621398412 | import os
import tornado.web
from .Util import *
from .Core import *
class IndexHandler(tornado.web.RequestHandler):
def get(self):
self.render("index.html", people="skipper")
class LogIndexHandler(tornado.web.RequestHandler):
def get(self):
self.render("log/log_index.html")
class LogList... | daddvted/arch1ve | python_code/log2chart_tornado/engine/Handler.py | Handler.py | py | 3,264 | python | en | code | 0 | github-code | 1 |
39002643737 | import sqlite3
DbName = "./db/timing_plan.db"
class Cdb:
def __init__(self,dbName):
self.dbName = dbName #数据库名称
self.conn = None #文件与数据库的连接
self.cursor = None #文件与数据库的交互
self.__connect()
def __connect(self): #将数据库与文件连接
try:
self.conn = sqlite... | lx-dtbs/UI-base | sumo_liveUpdate_ui/DbBase.py | DbBase.py | py | 2,777 | python | en | code | 1 | github-code | 1 |
19767607746 | """CSV操作
aws cliの初期設定
aws configure
設定の確認
~/.aws/
boto3 Client APIとResource API
Client API・・・リソースを操作する場合も参照系と同様に、対象のリソースIDを引数に加えてメソッドを実行する。
ex)
s3 = boto3.client('s3')
# バケット一覧を取得
s3.list_buckets()
obj = client.get_object(Bucket='test_bucket', Key='test.text')
print(obj['body'].read())
Resource API・・・リソースを操作する場合には対象の... | yoshikikasama/data_analytics | coding/boto3/tutorials/csv_from_s3.py | csv_from_s3.py | py | 6,116 | python | ja | 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.