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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
27199421294 | from selenium.common.exceptions import NoSuchElementException, ElementClickInterceptedException
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.su... | Johanlai/ds_salary_project | glassdoor_scraper.py | glassdoor_scraper.py | py | 8,794 | python | en | code | 0 | github-code | 1 |
2598497133 | from typing import Any, List, Optional
import discord
from discord.components import SelectOption
from discord.ext import commands
import logging
import logging.handlers
from discord.interactions import Interaction
from discord.utils import MISSING
logger = logging.getLogger('discord')
logger.setLevel(logging.INFO)
h... | Tobydog0501/XiaoYueDCBot | core/core.py | core.py | py | 2,071 | python | en | code | 0 | github-code | 1 |
24278186293 | #!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
AUTHOR = "Caio Carrara"
AUTHOR_EMAIL = "eu@caiocarrara.com.br"
SITENAME = "cC Log"
SITEURL = "http://localhost:8000"
TAGLINE = "Caio Carrara, Programação, Python, Software, Liberdade e Autonomia"
PATH = "content"
TIMEZONE = "Ame... | caiocarrara/cclogging | pelicanconf.py | pelicanconf.py | py | 1,479 | python | en | code | 0 | github-code | 1 |
37086718038 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import sqlite3
from contextlib import closing
import scrapy
import json
class MsbrPipeline(object):
def open_spider(self... | kmkirov/msbr | msbr/msbr/pipelines.py | pipelines.py | py | 1,641 | python | en | code | 0 | github-code | 1 |
39510862648 | import sys
input = sys.stdin.readline
N = int(input())
# sys.maxsize 사용할 경우 python 에서 낼 수 있는 최대값을 불러올 수 있다고 한다.
min_value = sys.maxsize
max_value = -sys.maxsize
# 모든 값들을 더해줄 변수
total = 0
# 들어온 숫자 딕셔너리로 몇개 들어왔는지 카운트
num_dict = {}
# 들어온 숫자들 리스트
check_list = []
# 최빈값 구하기 위한 리스트
num_list = []
for _ in range(N):
num... | choikeunyoung/algorithm | 백준/Silver 3/2108.py | 2108.py | py | 2,447 | python | ko | code | 1 | github-code | 1 |
25467629055 | __author__ = 'rafek@google.com (Rafe Kaplan)'
import appengine_config
from protorpc.webapp import service_handlers
import tunes_db
def main():
service_handlers.run_services(
[('/music', tunes_db.MusicLibraryService),
])
if __name__ == '__main__':
main()
| hanpfei/chromium-net | third_party/catapult/third_party/gsutil/third_party/protorpc/demos/tunes_db/server/services.py | services.py | py | 273 | python | en | code | 289 | github-code | 1 |
70000416355 | import cv2 as cv
from yolov7.utils.plots import plot_one_box
import torch
import numpy as np
from pathlib import Path
def plot_boxes(bboxes, img, color=None, labels=None, line_thickness=2):
if type(bboxes) == torch.Tensor:
bboxes = bboxes.cpu().numpy()
if labels is None:
for bbox in bboxes:
... | Sean053047/Smog-Car-Detection | lib/utils/video_inference.py | video_inference.py | py | 2,312 | python | en | code | 0 | github-code | 1 |
37919249005 | from collections import namedtuple
from nightwatch import c_dsl
from nightwatch.parser import parse_requires
default_annotations = dict(
depends_on=set(),
object_depends_on=set(),
object_record=False,
object_explicit_state_replace=c_dsl.Expr("NULL"),
object_explicit_state_extract=c_dsl.Expr("NULL"... | utcs-scea/DGSF-AvA | cava/nightwatch/annotation_set.py | annotation_set.py | py | 4,709 | python | en | code | 1 | github-code | 1 |
25615912618 | # from django.shortcuts import render
from django.contrib.auth.models import User
from room import models
import requests
from rest_framework import status
from rest_framework.utils import json
from rest_framework.views import APIView
from rest_framework.response import Response
# from rest_framework_simplejwt.tokens ... | LinYi-Taiwan/borrow_sys_backend | room/views.py | views.py | py | 6,101 | python | en | code | 0 | github-code | 1 |
32365101016 | class Pupil:
lastName = ''
score = 0
def sortByScore(c):
return (c.score)
n = int(input())
l = []
for i in range(n):
temp = input().split()
q = Pupil()
q.lastName = temp[0]
q.score = int(temp[1])
l.append(q)
l.sort(key=sortByScore, reverse=True)
for item in l:
print(item.lastName... | GNicoDev/My_Python_programs | Courcera/Основы программирования на Python/Неделя 6/12_OlympiadResults.py | 12_OlympiadResults.py | py | 322 | python | en | code | 1 | github-code | 1 |
28393657639 | import numpy as np
import cv2
import json
import os.path as osp
import xml.etree.ElementTree as ET
import copy
import datetime
from collections import defaultdict
from coco_annotation import CocoAnnotationClass
def recursively_get_all_subchild_ids(e_id, element_ids_dict):
if e_id not in element_ids_dict:
return ... | mrlooi/labelme_scripts | labelme_to_coco.py | labelme_to_coco.py | py | 4,494 | python | en | code | 1 | github-code | 1 |
19103804423 | import os
import unittest
import numpy as np
import pydrake
from pydrake.attic.multibody import shapes
from pydrake.common.eigen_geometry import Isometry3
class TestShapes(unittest.TestCase):
def test_api(self):
box_size = [1., 2., 3.]
radius = 0.1
length = 0.2
box = shapes.Box(... | GTLIDAR/safe-nav-locomotion | motion_planner/drake/bindings/pydrake/attic/multibody/test/shapes_test.py | shapes_test.py | py | 2,312 | python | en | code | 21 | github-code | 1 |
40390256101 | fname = input("Enter a file name: ")
try:
handle = open(fname)
except:
print("Invalid file name.")
quit()
domains = dict()
for line in handle:
if not line.startswith("From "):
continue
words = line.split()
domain = words[1].split("@")
domains[domain[1]] = domains.get(domain[1], 0) ... | Raphaelmt/py4e | ex_09_05.py | ex_09_05.py | py | 341 | python | en | code | 0 | github-code | 1 |
32200663906 | from tkinter import *
import pygame as py
import os
window = Tk()
window.title("Ton Player")
window.geometry("650x260")
window.config(bg="black")
py.init()
playstate = 0
mainb = PhotoImage(file="Icons/play.png")
pauseimage = PhotoImage(file="Icons/stop.png")
playimage = PhotoImage(file="Icons/play.png")
def playsto... | capsaicin01/Mp3-Player | main.py | main.py | py | 2,442 | python | en | code | 0 | github-code | 1 |
33876079295 | #Purpose: Decode a steganographically coded image
#Author: Dewar P.
from PIL import Image
def hidden_num(pixel):
r,g,b = pixel
lsdr = r%10 *100
lsdg = g%10 *10
lsdb = b%10 *1
return(lsdr+lsdg+lsdb)
def hidden_char(X):
return(chr(X))
def decode(original_pic, N):
pic... | pdewar/Python | Steganography/stegdecode.py | stegdecode.py | py | 1,411 | python | en | code | 0 | github-code | 1 |
11324927158 | # This example requires the 'members' privileged intent to use the Member converter.
# This example also requires the 'message_content' privileged intent to function.
import traceback
import typing
import discord
from discord.ext import commands
intents = discord.Intents.default()
intents.members = True
intents.mess... | Rapptz/discord.py | examples/converters.py | converters.py | py | 5,355 | python | en | code | 13,719 | github-code | 1 |
69860707874 | import tkinter as tk
from tkinter import filedialog
from tkinter.ttk import Combobox
import pyperclip
from summarizetext import Summarizer
from languagedropdown import dropdown
# Create an instance of the Summarizer class
summarizer = Summarizer()
# Function to browse for a file
def browse_file():
filename = file... | tokyographer/text-summarizer-python | text_summarizer_gui.py | text_summarizer_gui.py | py | 3,008 | python | en | code | 0 | github-code | 1 |
6918515986 | from django.urls import path
from . import views
app_name = 'math_chart'
urlpatterns = [
path('', views.home, name='home'),
path('my_chart_10/', views.my_chart_10, name='my_chart_10'),
path('my_chart_20/', views.my_chart_20, name='my_chart_20'),
path('b6_b6', views.b6_b6, name='b6_b6'),
path('my_sq... | DispersionemScientia/Math_Charts | math_chart/urls.py | urls.py | py | 579 | python | en | code | 0 | github-code | 1 |
41407487592 |
# 212. Word Search II
# https://leetcode.com/problems/word-search-ii/
# https://leetcode.com/problems/word-search-ii/discuss/59780/Java-15ms-Easiest-Solution-(100.00)
# https://leetcode.com/problems/word-search-ii/discuss/59790/Python-dfs-solution-(directly-use-Trie-implemented).
class TrieNode:
def __init__(se... | aszx4510/LeetCode | python/0212-word_search_ii.py | 0212-word_search_ii.py | py | 1,576 | python | en | code | 0 | github-code | 1 |
9350440170 | # -*- coding: utf-8 -*-
"""
Programme utilsant la version 2.7 de Python
Solution au pydefis : https://callicode.fr/pydefis/BoitesSucres/txt
Dans ce programme on donne la liste des nombres de sucres qui imposent une taille
de boite unique
252 sucres disposés en 4 couches de 7x9 sucres.
7x9x4
contenant 3 couches d... | nikokks/Answers-Of-Python-Programming-Challenges | Le probleme des boites a sucres/Le problème des boîtes à sucres.py | Le problème des boîtes à sucres.py | py | 1,483 | python | fr | code | 0 | github-code | 1 |
13211216847 | xp = 100 # start money
p = 5 # [%] interest rate
N = 4 # [years]
int_counter = 0 # counter for while loop
outfile = open('growth.dat','w') # saving new file growth.dat
outfile.write('Interest rate = %.2f percent\n' % p) # file heading
outfile.write('year ... | simehaa/University | inf1100/growth_years_efficient.py | growth_years_efficient.py | py | 612 | python | en | code | 0 | github-code | 1 |
5928162899 | import torch
import torch.nn.functional as F
class Act(torch.nn.Module):
def __init__(self, act: str, slope: float = 0.05) -> None:
super(Act, self).__init__()
self.act = act
self.slope = slope
self.shift = torch.log(torch.tensor(2.0)).item()
def forward(self, input: torch.Ten... | Open-Catalyst-Project/ocp | ocpmodels/models/utils/activations.py | activations.py | py | 1,471 | python | en | code | 518 | github-code | 1 |
74474929633 | # Test script for 3-ch RPi Relay Board
import RPi.GPIO as GPIO
from time import sleep
# Relay channel definitions
relay1 = 26
relay2 = 20
relay3 = 21
# Initialise GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(relay1,GPIO.OUT)
GPIO.setup(relay2,GPIO.OUT)
GPIO.setup(relay3,GPIO.OUT)
# Relays are active-low
GPIO.output(relay1,T... | graham-mitchell-vcs/scripts | relayTest.py | relayTest.py | py | 548 | python | en | code | 0 | github-code | 1 |
11560175645 | # Importing libraries
import RPi.IO as IO
import time
# NOTEs:
# IO.LOW = Zero = False
# IO.HIGH = Non-Zero Value = True
# Garbage Collector
IO.cleanup()
# Setting pins numbering mode (BCM or BOARD)
IO.setmode(IO.BOARD)
# Global Data
ledPin = 12
ldrPin = 11
morningState = False
# Configuring pins
IO.setup(ledPin, ... | makaram99/embedded-linux | projects/03_ldr_and_led.py | 03_ldr_and_led.py | py | 725 | python | en | code | 0 | github-code | 1 |
12009131168 | ## Import Packages
import pandas as pd #importing all the important packages
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import json
from ast import literal_eval
## Define dataset
df = pd.read_csv('movies_metadata.csv', encoding = 'UTF-8', low_memory=False)
df2 = pd.read_csv('c... | yashkp1234/Movie-Recommendation-Engine | Python Scripts/Actor Analysis.py | Actor Analysis.py | py | 2,799 | python | en | code | 0 | github-code | 1 |
25623285728 | import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import matplotlib.pyplot as plt
(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()
# Normalize pixel values to be between 0 and 1, like we did in testproj 6
train_images, test_images = train_i... | Ihsan101/tensorflow-test-projects | Convolutional Neural Network Models/testproj 7- CNN Model, Image Class.py | testproj 7- CNN Model, Image Class.py | py | 3,651 | python | en | code | 0 | github-code | 1 |
313912497 | import sys
if sys.version_info[0] == 3:
from builtins import str
import json
from ._loader import ClassLoader
from ._codec_utils import parseMoClassName, getParentDn, listWithTotalCount
def parseJSONError(rspText, errorClass, httpCode=None):
try:
rspDict = json.loads(rspText)
data = rspDict.g... | datacenter/cobra | cobra/mit/jsoncodec.py | jsoncodec.py | py | 3,897 | python | en | code | 89 | github-code | 1 |
36076367490 | import re
from difflib import ndiff
import smtplib
from datetime import date, datetime
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders
import os
import io
import re
import time
import openpyxl
import asyncio... | bairisachin/PIC-Data-Audit-Tool | Scraper.py | Scraper.py | py | 73,539 | python | en | code | 0 | github-code | 1 |
41746279645 | import pandas as pd
import numpy as np
df = pd.read_csv('WA_Fn-UseC_-Telco-Customer-Churn.csv')
df.head()
# Convert categorical variables into numerical variables
from sklearn.preprocessing import LabelEncoder, StandardScaler
categorical_features = ['gender', 'Partner', 'Dependents', 'PhoneService', 'MultipleLines', ... | aniketwdubey/Customer-Churn-Prediction | churn.py | churn.py | py | 3,769 | python | en | code | 1 | github-code | 1 |
25207102553 | import sys as System;
if(len(System.argv) > 1):
#get file
File = open(System.argv[1], 'r')
FileOut = open("no_com_" + System.argv[1], 'w')
output = ""
foundMultiLine = False
for line in File:
Line = line.split("\r")[0].split("\n")[0]
print(Line)
foundMultiLineLine=1
... | JCollins0/BashScripts | nocomment.py | nocomment.py | py | 1,350 | python | en | code | 0 | github-code | 1 |
14339755416 | from django.contrib.auth import get_user_model
from django.test import Client, TestCase
from django.urls import reverse
from posts.models import Group, Post
User = get_user_model()
class PostPagesTests(TestCase):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.user = User.objects... | alexandr-shinko96/hw04_tests | yatube/posts/tests/test_views.py | test_views.py | py | 3,719 | python | ru | code | 0 | github-code | 1 |
4451022121 | from qdrant_client import models, QdrantClient
import numpy as np
import torch
import pandas as pd
from sentence_transformers import SentenceTransformer
from transformers import ViTImageProcessor, ViTModel
import cv2
import numpy as np
import time
import os
qdrant = QdrantClient(":memory:")
def upload_qdrant(embeddin... | MuhammadBilal848/Vector-DB-Qdrant | qdrant_module for image.py | qdrant_module for image.py | py | 2,088 | python | en | code | 1 | github-code | 1 |
5059451700 | from __future__ import annotations
from vstools import core, vs
__all__ = [
'telecine_patterns',
]
def telecine_patterns(clipa: vs.VideoNode, clipb: vs.VideoNode, length: int = 5) -> list[vs.VideoNode]:
a_select = [clipa.std.SelectEvery(length, i) for i in range(length)]
b_select = [clipb.std.SelectEver... | jiaolovekt/HPCENC | deps/vs-plugins/vsdeinterlace/utils.py | utils.py | py | 514 | python | en | code | 11 | github-code | 1 |
1586067119 | """Tests for ``highcharts.no_data``."""
import pytest
from json.decoder import JSONDecodeError
from highcharts_core.global_options.language import Language as cls
from highcharts_core import errors
from tests.fixtures import input_files, check_input_file, to_camelCase, to_js_dict, \
Class__init__, Class__to_untr... | highcharts-for-python/highcharts-core | tests/global_options/language/test_language.py | test_language.py | py | 3,946 | python | en | code | 40 | github-code | 1 |
4225885261 | from otree.api import (
models,
widgets,
BaseConstants,
BaseSubsession,
BaseGroup,
BasePlayer,
Currency as c,
currency_range,
)
import numpy as np
import random
import json
from otree.models import subsession
author = 'Cesar Mantilla & Ferley Rincon'
doc = """
Adult children gender an... | ferleyrincon/transfers | home/models.py | models.py | py | 4,301 | python | en | code | 0 | github-code | 1 |
18023591978 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch import optim
import warnings
from .training import WGAN
def make_GANbalancer(dataset, generator_input, generator_layers, critic_layers,
emb_sizes, no_aux,learning_rate,critic_iteration... | johaupt/GANbalanced | DEPRECATED/wgan/models_cat.py | models_cat.py | py | 9,506 | python | en | code | 14 | github-code | 1 |
133399967 | import numpy as np
import random
import matplotlib.pyplot as plt
from matplotlib import animation
################################
# 修改这个alpha玩！其他代码不需要动！
# 这个示意的例子跟真实ML不一样，alpha通常在0.001到0.1之间
alpha = 0.9
################################
x = np.arange(-5,5,0.1)
y = x**2
fig, ax = plt.subplots()
ax.grid()
ax.plot(x,... | zxupstar/TensorFlow-Tools | Learn_rating.py | Learn_rating.py | py | 1,356 | python | en | code | 1 | github-code | 1 |
18080046914 | #Daniel Ferreira
def absoluto(n:int) -> int:
"""Essa função verifica primeiramente se o número é positivo. Caso não seja, converte ele para positivo e o retorna. Se a pessoa não escrever um núemro, aparecerá um TypeError e um ValueError, informando o erro."""
try:
if n < 0:
n * -1
... | Danib0y97/Comp2_listas | lab5.py/lab5.py | lab5.py | py | 1,568 | python | pt | code | 0 | github-code | 1 |
35915478681 | # Python > Sets > Set .union() Operation
# Use the .union() operator to determine the number of students.
#
# https://www.hackerrank.com/challenges/py-set-union/problem
#
n = int(input())
english = set(map(int, input().split()))
n = int(input())
french = set(map(int, input().split()))
print(len(english | french))
| rene-d/hackerrank | python/py-sets/py-set-union.py | py-set-union.py | py | 318 | python | en | code | 72 | github-code | 1 |
18286028278 | import os, sOE
import matplotlib.pyplot as plt
from Request import module
from cassiopeia import riotapi
from cassiopeia.type.core.common import LoadPolicy
import pprint
def main():
name = "Céll"
region = "NA"
key = os.environ["DEV_KEY"]
riotapi.set_api_key(key)
riotapi.set_load_policy(LoadPolicy... | plyte/Creep-My-Score | Driver.py | Driver.py | py | 1,405 | python | en | code | 1 | github-code | 1 |
7742861202 | import numpy as np
import matplotlib.pyplot as plot
import math
def sigmoid(u):
return 1 / (1 + math.exp(-u))
sigmoid_matrix = np.vectorize(sigmoid)
def digitize(x, y):
return 1 if (x >= y) else 0
digitize_matrix = np.vectorize(digitize)
class Layer(object):
def __init__(self, name, learning_rate, we... | otaviocx/disciplina-tarp | boltzmann.py | boltzmann.py | py | 3,907 | python | en | code | 1 | github-code | 1 |
38950075756 | # Imports
from flask import Flask, send_from_directory, jsonify, render_template, request, make_response, redirect, url_for, escape, send_file
import json
from flask_cors import CORS
from werkzeug.utils import secure_filename
import os
import sys
import hashlib
import secrets
import base64
# Adding all files for impor... | ahanabhattchrya/eSlay | backend/app/app.py | app.py | py | 9,922 | python | en | code | 3 | github-code | 1 |
23051427840 | #AnáliseDeDadosDoGrupo
tot18 = 0
totH = 0
totM20 = 0
while True:
print('-'*27)
print(' CADASTRE UMA PESSOA ')
print('-'*27)
idade = int(input('Idade: '))
sexo = ' '
while sexo not in 'MF':
sexo = str(input("Informe seu sexo: [M/f]: ")).strip().upper()[0]
if idade >= 18:
tot18 += 1
if sexo == 'M':
to... | ruirodriguessjr/Python | EstruturaRepetição/ex23AnáliseDeDadosDoGrupo.py | ex23AnáliseDeDadosDoGrupo.py | py | 671 | python | pt | code | 0 | github-code | 1 |
34370342764 | from master.importer.axis_subset import AxisSubset
from master.provider.metadata.coverage_axis import CoverageAxis
from master.importer.interval import Interval
from master.provider.metadata.axis import Axis
from master.provider.metadata.grid_axis import GridAxis
from master.provider.metadata.regular_axis import Regula... | kalxas/rasdaman | applications/wcst_import/master/helper/gdal_axis_filler.py | gdal_axis_filler.py | py | 4,210 | python | en | code | 4 | github-code | 1 |
22727159189 | import os
import cv2
import time
name = 'trial'
file_format = '.mp4'
fps = 24.0
res = '480p'
duration = 30
# Standard Video Dimensions
STD_DIMENSIONS = {
"480p": (640, 480),
"720p": (1280, 720),
"1080p": (1920, 1080),
"4k": (3840, 2160),
}
# Set resolution for the video capture
def change_res(cap, w... | farhanfuadabir/video-recorder | main.py | main.py | py | 1,670 | python | en | code | 0 | github-code | 1 |
22689523314 | #-*-coding:utf-8-*-
__author__ = 'shenshen'
from node import Node
class Stack(object):
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def push(self, item):
self.items.append(item)
def pop(self):
return self.items.pop()
def peek(s... | dslwz2008/pythoncodes | algorithms/stack.py | stack.py | py | 5,930 | python | en | code | 3 | github-code | 1 |
17923722935 | # Someone in Dreadsbury Mansion killed Aunt Agatha. Agatha, the butler, and
# Charles live in Dreadsbury Mansion, and are the only ones to live there. A
# killer always hates, and is no richer than his victim. Charles hates noone
# that Agatha hates. Agatha hates everybody except the butler. The butler hates
# everyone... | xoolive/facile | examples/who_killed_agatha.py | who_killed_agatha.py | py | 2,564 | python | en | code | 21 | github-code | 1 |
71317077794 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torch.optim import Adam
import numpy as np
import datasets, networks, utils, loss, kernels, options
import os
import sys
import time
import tqdm
def train(loader, model, optimizer, criterion, epoch, d1, ... | teboli/CPCR | train_lchqs.py | train_lchqs.py | py | 7,650 | python | en | code | 25 | github-code | 1 |
12092731167 | #!/bin/python3
import math
import os
import random
import re
import sys
def compareTriplets(a, b):
score=[0,0]
for i in range(len(a)):
if a[i]>b[i]:
score[0]+=1
if a[i]<b[i]:
score[1]+=1
return score
if __name__ == '__main__':
a = list(map(int, input().rstrip()... | mariangelabonghi/HackerRank-Practice-Python | ProblemSolving/compare_triplets.py | compare_triplets.py | py | 433 | python | en | code | 0 | github-code | 1 |
72116078755 | import os
import pickle
import shutil
import tempfile
import unittest
from rnn_prof import run_rnn as undertest
from rnn_prof.data.constants import ASSISTMENTS
from rnn_prof.data.splitting_utils import split_data
from rnn_prof.data.wrapper import load_data, DEFAULT_DATA_OPTS
ASSISTMENTS_TESTDATA_FILENAME = os.path.jo... | Knewton/edm2016 | rnn_prof/tests/test_run_rnn.py | test_run_rnn.py | py | 2,499 | python | en | code | 58 | github-code | 1 |
35916248021 | # Tutorials > 30 Days of Code > Day 22: Binary Search Trees
# Given a binary tree, print its height.
#
# https://www.hackerrank.com/challenges/30-binary-search-trees/problem
#
class Node:
def __init__(self,data):
self.right=self.left=None
self.data = data
class Solution:
def insert(self,root,da... | rene-d/hackerrank | tutorials/30-days-of-code/30-binary-search-trees.py | 30-binary-search-trees.py | py | 1,262 | python | en | code | 72 | github-code | 1 |
72492188833 | """Temporary utility for visualising the data contained
in the weather files.
This file is now being kept solely as a record of
the development process."""
from scraper.scraping_tools import get_files, get_xml
from datetime import datetime
import plotly.graph_objects as go
class WeatherEntry:
# make a method that... | Dalia-21/weather-forecast | deprecated/xml_display.py | xml_display.py | py | 4,913 | python | en | code | 0 | github-code | 1 |
6788616069 | from flask import Flask, jsonify
import requests
import csv
from io import StringIO
import datetime
from lib.countries import countries
from lib.date import getDate
app = Flask(__name__)
url = "https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_daily_reports/"
def get_data(b_url... | kojo-shark/pase-python | app.py | app.py | py | 2,058 | python | en | code | 0 | github-code | 1 |
24680179890 | class Solution:
def pivotIndex(self, nums: List[int]) -> int:
prefix = list(accumulate(nums))
for i,num in enumerate(nums):
if prefix[i] - nums[i] == prefix[-1] - prefix[i]:
return i
return -1
| YosefAyele/Leetcode-and-Codeforces-Problems | 0724-find-pivot-index/0724-find-pivot-index.py | 0724-find-pivot-index.py | py | 297 | python | en | code | 2 | github-code | 1 |
73811145954 | import requests
from bs4 import BeautifulSoup
import pandas as pd
shop_name = 'allactive'
def get_href(ctgr_list, gender, type_):
df = pd.DataFrame()
for ctgr in ctgr_list:
print(f'<<<<<<<<<<<<<<<<<<<<<<<<{ctgr}>>>>>>>>>>>>>>>>>>>>>>>')
page = 1
while True:
print(f'---------... | limjun92/team8_project | ssy/크롤링코드및데이터/2차/allactive/allactive.py | allactive.py | py | 1,604 | python | en | code | 0 | github-code | 1 |
34086039184 | """
This file computes the mutual information between every pair of variables in the specificed Bayes net
"""
import pandas as pd
import numpy as np
import pickle
from itertools import product
from argparse import ArgumentParser
from tqdm import tqdm
import sys
sys.path.extend(["../core", "./code/core"])
from pyprojroo... | benpry/why-think-step-by-step | code/evaluate/mutual_informations.py | mutual_informations.py | py | 2,310 | python | en | code | 7 | github-code | 1 |
6604463868 | import os
# os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
# os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import torch
import torch.nn as nn
from torch import optim
from torch.autograd import Variable
import torch.nn.functional as F
from src.python.digo_utils import *
from pymongo import MongoClient
from tqdm import tq... | yotamfr/prot2vec | src/python/digo_prot2vec.py | digo_prot2vec.py | py | 9,477 | python | en | code | 10 | github-code | 1 |
7029268671 | #!/usr/bin/python3
import asyncio
import evdev
from evdev import *
import dbus_next
from dbus_next.aio import MessageBus
import time
import logging
from hid_scanner import HidScanner
from usb_hid_decoder import UsbHidDecoder
class KvmMouse(object):
def __init__(self):
self.event_mice = dict()
async ... | BLeeEZ/rpi-kvm | rpi_kvm/mouse.py | mouse.py | py | 7,617 | python | en | code | 27 | github-code | 1 |
41407353092 |
# 139. Word Break
# https://leetcode.com/problems/word-break/
# https://leetcode.com/problems/word-break/discuss/43788/4-lines-in-Python/142456
class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> bool:
ok = [True]
max_len = max(map(len, wordDict + ['']))
for i in range(1... | aszx4510/LeetCode | python/0139-word_break.py | 0139-word_break.py | py | 1,327 | python | en | code | 0 | github-code | 1 |
13562130219 | user_input = input('Enter a phrase or press "q" to exit: ')
#phrase = (user_input.replace('of','')).split()
phrase = user_input.split()
_phrase = ''
for word in phrase:
if user_input.lower() == 'q':
break
if word.lower() == 'of':
continue
for s in word:
if s == word... | Chephos/beginner-tasks | acronym_generator.py | acronym_generator.py | py | 416 | python | en | code | 0 | github-code | 1 |
24260789969 | # -*- encoding: utf-8 -*-
import ovh
# create a client using configuration
client = ovh.Client()
ck = client.new_consumer_key_request()
ck.add_recursive_rules(ovh.API_READ_WRITE, "/domain")
ck.add_recursive_rules(ovh.API_READ_WRITE, "/ip")
# Request token
validation = ck.request()
print("Please visit %s to authent... | danielfdickinson/ivc-in-the-wtg-experiments | experiments/Set-001/X-003/get-domain-ip-consumer-key.py | get-domain-ip-consumer-key.py | py | 497 | python | en | code | 0 | github-code | 1 |
70706180514 | import paho.mqtt.client as mqtt
import time
#import PWM
#import grovepi
import grove_rgb_lcd
from grove_rgb_lcd import *
import statistics
# GrovePi + Grove Buzzer
import time
import grovepi
# Connect the Grove Buzzer to digital port D8
# SIG,NC,VCC,GND
buzzer = 3
button = 4
grovepi.pinMode(button,"INPUT")
#note_prod... | usc-ee250-spring2021/lab05-the-duo | ee250/lab05/lcd_tuner2.py | lcd_tuner2.py | py | 3,181 | python | en | code | 0 | github-code | 1 |
6878332946 | import os
def main():
if os.path.exists("./data.txt") is False:
print("data file not exists")
return
if os.path.exists("./thai_data.txt") is False:
print("thai data file not exists")
return
# Read data
f = open("./data.txt")
row = f.readlines()
ja_animal_list =... | HuaSheng2000/onomatopoeia-thai-ja | main.py | main.py | py | 2,379 | python | en | code | 0 | github-code | 1 |
32886057082 | from settings.common import get_vocabulary, word_frequency
import numpy as np
from nltk.corpus import stopwords
def count_stopwords(d, stopwords):
c = 0
for w in d:
if w in stopwords:
c += 1
return c
def get_data_stats(dataset):
dataset_size = len(dataset)
vocab_size = len(get... | GU-DataLab/topic-modeling-textPrep | evaluation_metrics/dataset_stats.py | dataset_stats.py | py | 872 | python | en | code | 5 | github-code | 1 |
14386219701 | """
## 14-4. 이진 트리 반전
이진 트리를 좌우 반전 시켜라.
"""
from typing import *
import collections
# 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 invertTree(self, root: Tre... | hyo-eun-kim/algorithm-study | ch14/saeyoon/ch14_4_saeyoon.py | ch14_4_saeyoon.py | py | 1,732 | python | en | code | 0 | github-code | 1 |
22575948997 | import sys
input= sys.stdin.readline
n = int(input())
n_list = list(map(int,input().split()))
stack=[]
result = [0]*n
for i in range(n):
v= n_list[i]
while stack and n_list[stack[-1]]<v:
stack.pop()
if stack:
result[i]=stack[-1]+1
stack.append(i)
print(*result)
| dydwkd486/coding_test | baekjoon/python/baekjoon2493.py | baekjoon2493.py | py | 298 | python | en | code | 0 | github-code | 1 |
31828763438 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 30 13:01:43 2021
@author: MI2
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tia.bbg.datamgr as dm
from datetime import date as dt
from pandas.tseries.offsets import BDay
startDate = dt(1980,1,1)
endDate = dt(2020,12,31)
... | tommyoneil/Market-Models | Extras/VWAP.py | VWAP.py | py | 1,962 | python | en | code | 0 | github-code | 1 |
5586775092 | def pthFactor(n, p):
from functools import reduce
factors = reduce(list.__add__, ([i, n//i] for i in range(1, int(n**0.5) + 1) if n % i == 0 ))
factors.sort()
if p > len(factors):
return 0
return factors[p - 1]
import time
t1 = time.time()
print(pthFactor(10**15, 5))
print(f"finished in {ti... | tejas-adg/Code_of_Codswallop | Python_Programs/ATA_Prob/p2_sol.py | p2_sol.py | py | 342 | python | en | code | 0 | github-code | 1 |
28909376277 | import random
import datetime
import torch
from tqdm import tqdm
from src.utils.load_data import load_tables
from src.utils.reproducibility import set_random_seed
from src.model.pretrain import PretrainMatching
from src.graph_construction.tabular_graph import TabularGraph
tables = None
def pretrain(config):
set... | FeiWang96/GTR | src/train/run_pretraining.py | run_pretraining.py | py | 3,289 | python | en | code | 34 | github-code | 1 |
26017357281 | #####################################################################
# cloudsync is a simple python script using NetApp Cloud Rest API
# Jerome.Blanchet@NetApp.com
#####################################################################
import netapp_api_cloud
import argparse
import getpass
import sys
import configparser... | jbnetapp/demo-netapp-cloud-api | cloudsync.py | cloudsync.py | py | 12,812 | python | en | code | 1 | github-code | 1 |
4752275130 | import os
import openai
openai.api_key = ""
def get_completion(prompt, model="gpt-3.5-turbo"):
messages = [{"role": "user", "content": prompt}]
response = openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=0,
)
return response.choices[0].message["content... | yeonieheoo/MemoryCompanion | ML4H_LLM/case57.py | case57.py | py | 2,807 | python | en | code | 0 | github-code | 1 |
71732253793 | #######################################################################################################
# LICENSE
# Copyright (C) 2021 - INPE - NATIONAL INSTITUTE FOR SPACE RESEARCH - BRAZIL
# This program is free software: you can redistribute it and/or modify it under the terms of the GNU
# General Public Licens... | diegormsouza/SHOWCast-2.3.0_a | html_update.py | html_update.py | py | 4,684 | python | en | code | 3 | github-code | 1 |
75256462113 | class Solution(object):
def matrixReshape(self, nums, r, c):
"""
:type nums: List[List[int]]
:type r: int
:type c: int
:rtype: List[List[int]]
"""
if len(nums) * len(nums[0]) != r * c:
return(nums)
l = []
new = []
for i in r... | HawkinYap/Leetcode | leetcode566.py | leetcode566.py | py | 603 | python | en | code | 0 | github-code | 1 |
8502662374 | from app import app
from flask import Blueprint, request, make_response, redirect, render_template, url_for, flash, json, jsonify, send_file
import requests
import re
import os
from .ortools import *
from .st_classes import *
GMAPS_KEY = os.getenv('GMAPS_API')
DEPOT = 'Sacramento, CA, USA'
def flash_errors(form):
f... | amiller5233/truck-routing-application | app/views.py | views.py | py | 3,358 | python | en | code | 0 | github-code | 1 |
29700790419 | #!/usr/bin/env python
import os
def split(sdf_path, dirname=""):
"""split the molecules in one sdf into individual files
Keyword Arguments:
sdf_path -- file path
dirname -- output directory, the same directory as the input file by default
"""
section = []
if dirname == "":
dirnam... | GeauxEric/GPUdock | GeauxBind/script/split_sdf.py | split_sdf.py | py | 935 | python | en | code | 1 | github-code | 1 |
17514977530 | import argparse
import yaml
from src.processed import PROCESSED
parser = argparse.ArgumentParser()
parser.add_argument("--config", type=str, required=True, help="path to yaml config")
args = parser.parse_args()
with open(args.config, mode="r") as stream:
config = yaml.safe_load(stream)
if __name__ == "__main_... | EDJINEDJA/foot-ml | app.py | app.py | py | 382 | python | en | code | 0 | github-code | 1 |
31445927920 | import math
import torch
from timm.scheduler import CosineLRScheduler
from torch.optim.lr_scheduler import LambdaLR
class FlatAnnealLR(torch.optim.lr_scheduler.LambdaLR):
"""
Schedule LR linear anneal from 1.0 to `eta_min` after `T_max * flat_ratio` steps.
"""
def __init__(
self,
opt... | Stardust87/VIP | src/utils/scheduler.py | scheduler.py | py | 2,339 | python | en | code | 0 | github-code | 1 |
43044435979 | from fenics_concrete.experimental_setups.experiment import Experiment
from fenics_concrete.helpers import Parameters
import dolfin as df
import numpy as np
import gmsh
import os
import meshio
import warnings
from ffc.quadrature.deprecation import QuadratureRepresentationDeprecationWarning
warnings.simplefilter("ignore... | BAMresearch/FenicsConcrete | fenics_concrete/experimental_setups/concrete_cylinder.py | concrete_cylinder.py | py | 10,324 | python | en | code | 0 | github-code | 1 |
35703348051 | #!/usr/bin/python3
import math
HALF_LIFE = 6 * 3600 # seconds
A0 = 1000.0
LAMBDA = math.log(2) / HALF_LIFE
TIME_MAX = 25 * 3600 # seconds
def main():
# for each hour
for seconds in range(0, TIME_MAX, 3600):
A = A0 * math.exp(-seconds * LAMBDA)
print(f"Relative quantity remaining after the ... | NikosDelijohn/CS-polito | lab04/ex2-2.py | ex2-2.py | py | 400 | python | en | code | 30 | github-code | 1 |
35325919453 | import numpy as np
# Writing equations in matrix form
matrix = np.array([[0, 2, 0, 1, 0],
[2, 2, 3, 2, -2],
[4, -3, 0, 1, -7],
[6, 1, -6, -5, 6]], float)
mat_len = len(matrix[:, 0])
# Iterations:
for i in range(mat_len):
where = np.where(abs(matrix[i:, i])... | neerajkambojin/ch481 | Assignment6/Program_c.py | Program_c.py | py | 1,080 | python | en | code | 0 | github-code | 1 |
42108724860 | """Apple.py: File that handle the apple display and collision"""
import pygame
import random
__author__ = "Magalie Vandenbriele"
__credits__ = ["Magalie Vandenbriele", "Pierre Ghyzel", "Irama Chaouch"]
__license__ = "GPL"
__version__ = "1.0"
__maintainer__ = ["Magalie Vandenbriele", "Irama Chaouch"]
__email__ = "maga... | magalieV/SW_Project_Snake | game_module/gameplay/Apple.py | Apple.py | py | 2,398 | python | en | code | 0 | github-code | 1 |
73509776035 | """
Set up the plot figures, axes, and items to be done for each frame.
This module is imported by the plotting routines and then the
function setplot is called to set the plot parameters.
"""
from __future__ import absolute_import
import numpy
#--------------------------
def setplot(plotdata=None):
#---------... | cheginit/SI_2019_Coastal | models/GeoClaw/mobile_bay/setplot.py | setplot.py | py | 4,928 | python | en | code | 2 | github-code | 1 |
31900707389 | # -*- coding: utf-8 -*-
"""
@File : complexNumberMultiply.py
@Author : wenhao
@Time : 2023/3/14 11:09
@LC : 537
"""
class Solution:
def complexNumberMultiply(self, num1: str, num2: str) -> str:
num1 = num1.split('+')
x1, y1 = int(num1[0]), int(num1[1][:-1])
num2 = num2.split(... | callmewenhao/leetcode | 官方/字符串/complexNumberMultiply.py | complexNumberMultiply.py | py | 479 | python | en | code | 0 | github-code | 1 |
384341994 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('school', '0014_auto_20161012_0659'),
]
operations = [
migrations.AlterField(
model_name='student',
n... | suryakumar1024/schoolcms | school/migrations/0015_auto_20161013_1126.py | 0015_auto_20161013_1126.py | py | 461 | python | en | code | 0 | github-code | 1 |
2819717353 | from app import app, db, load_user
from app.models import User, Order, Admin, Reseller, Product, Item
from app.forms import SignUpForm, SignInForm, CreateOrderForm, ProductForm
from flask import render_template, redirect, url_for, request, flash, session
from flask_login import login_required, login_user, logout_user, ... | simaomansur/project-1-windoors | app/routes.py | routes.py | py | 10,950 | python | en | code | 1 | github-code | 1 |
3211690613 | from keras.models import Sequential, Model
import numpy as np
from keras.layers import Input, Dense, Activation, concatenate
from keras.optimizers import Adam
import math
import csv
main_input = Input(shape=(2,), dtype="float32", name='main_input')
x = Dense(64, activation='tanh')(main_input)
x = Dense(64, activation... | Lucianobianchi/locomovil-api | net_late_input.py | net_late_input.py | py | 2,757 | python | en | code | 0 | github-code | 1 |
72072560995 | from transformers import GPTNeoXForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained('gpt2')
model = AutoModelForCausalLM.from_pretrained("gpt2")
message = '<|prompter|> hello<|endoftext|><|assistant|>'
inputs = inputs = tokenizer(message, retur... | ElHaban3ro/RetroAssistant | test.py | test.py | py | 481 | python | en | code | 0 | github-code | 1 |
12644162333 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 4 20:51:47 2023
@author: erica
"""
import random
class Agent():
def __init__(self, i):
"""
The constructor method.
Parameters
----------
i : Integer
To be unique to each instance.
Retur... | ericaanderson/Module3 | src/abm4/agentframework.py | agentframework.py | py | 942 | python | en | code | 0 | github-code | 1 |
29761062732 | from td.oauth import TdAmeritradeOauth
from configparser import ConfigParser
# Initialize the Parser.
config = ConfigParser()
# Read the file.
config.read('config/config.ini')
# Get the specified credentials.
client_id = config.get('main', 'client_id')
redirect_uri = config.get('main', 'redirect_uri')
# Initialize ... | Gaukhar-ai/td-ameritrade-api | samples/use_oauth.py | use_oauth.py | py | 464 | python | en | code | null | github-code | 1 |
71015825635 | # Title: 3Sum
# Link: https://leetcode.com/problems/3sum/
from itertools import combinations
from collections import defaultdict
class Solution:
def threeSum(self, nums: list) -> list:
ans = []
nums = sorted(nums)
prev_num = None
for i, num in enumerate(nums):
if num ... | yskang/AlgorithmPractice | leetCode/3_sum_3.py | 3_sum_3.py | py | 1,242 | python | en | code | 1 | github-code | 1 |
72149002593 | # we need pyaudio to get sound from microphone
import pyaudio
import speech_recognition as sr
import webbrowser
import os
r = sr.Recognizer()
# TODO: null deger donunce hata veriyor try except kur
# TODO: key value değeri olarak komutları txt de tut, program üzerinden key value ekle
# TODO:3 4 tane yeni özellik ekle... | tburakg/bitirme_projesi | main.py | main.py | py | 2,965 | python | tr | code | 0 | github-code | 1 |
18905086139 | #coding:utf-8
import time
import ipdb
import argparse
import tensorflow as tf
from agent import Agent
from deep_q_network import FRLDQN
from environment import Environment
from replay_memory import ReplayMemory
from utils import get_time, str2bool
def args_init():
parser = argparse.ArgumentParser()
envarg ... | FRL2019/FRL | gridworld/main.py | main.py | py | 16,146 | python | en | code | 35 | github-code | 1 |
30655390894 | # 获取系统信息的模块
import psutil
import time
# m每隔一秒绘制CPU的占有率; 如何持久化保存? 如何将时间和对应的cpu占有率匹配;
while True:
# 获取当前时间和cpu占有率
t = time.localtime()
cur_time = '%d:%d:%d' %(t.tm_hour, t.tm_min, t.tm_sec)
cpu_res = psutil.cpu_percent()
# print(cpu_res)
# 保存到文件中;
with open('cpu.txt', 'a+') as f:
... | lvah/201903python | day12/code/17_获取系统信息.py | 17_获取系统信息.py | py | 491 | python | en | code | 5 | github-code | 1 |
12452588524 | # selection screen for the PicoGameBoy by David Monninger, written for SPE Karlsruhe
import os
from PicoGameBoy import PicoGameBoy
import time
TEXT_DISTANCE = 10
BLACK = PicoGameBoy.color(0, 0, 0)
WHITE = PicoGameBoy.color(255, 255, 255)
games = [f for f in os.listdir("/") if f.startswith("g_")] # collect all possib... | spe-khe/PicoG | main.py | main.py | py | 2,126 | python | en | code | 0 | github-code | 1 |
43796258612 | # Write a Python program to convert a list of tuples into a dictionary
t=[("akash", 10), ("gaurav", 12), ("anand", 14),("suraj", 20), ("akhil", 25), ("ashish", 30)]
# First My way
d1={}
for a,b in t:
d1[a]=b
print(d1)
# predefined dict() method in dictionaries
d2={}
d2=dict(t)
print(d2)
# predefined setdefault(k... | Diptiman1999/264725_DailyPractice_Python | 22_04_2021_Assignment/list_tuple_into_dictionary.py | list_tuple_into_dictionary.py | py | 398 | python | en | code | 0 | github-code | 1 |
23114807108 | from models.PersonsModel import PersonsModel
from core.Controller import Controller
from views.LoginFrame import LoginFrame
from pubsub import pub
import wx
class LoginController(Controller):
def __init__(self, session=None, parent=None):
super().__init__(session)
self.model: PersonsModel = Person... | hifra01/aplikasi-wisata | src/controllers/auth/LoginController.py | LoginController.py | py | 2,156 | python | en | code | 0 | github-code | 1 |
21840933315 | import sys
input = sys.stdin.readline
def recur(cur, protein, fat, carbo, vita, cost):
global ans, ans_ls
if cur == n:
if protein >= min_val[0] and fat >= min_val[1] and carbo >= min_val[2] and vita >= min_val[3]:
if cost < ans:
ans = cost
ans_ls = [... | pearl313/BOJ | 백준/Gold/19942. 다이어트/다이어트.py | 다이어트.py | py | 1,005 | python | en | code | 0 | github-code | 1 |
5163812852 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import copy
import argparse
import cv2 as cv
import numpy as np
import tensorflow as tf
from utils import CvFpsCalc
from mlsd.utils import pred_lines, pred_squares
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--device", type=int, defa... | Kazuhito00/M-LSD-warpPerspective-Example | example.py | example.py | py | 5,989 | python | en | code | 10 | github-code | 1 |
22512034598 | '''
Created on 25/04/2013
@author: 8620016
'''
# Conectando `a um banco de dados sqllite tempor´ario,
# na memoria do computador.
from sqlalchemy import create_engine
from sqlalchemy import Table, Column, Integer
from sqlalchemy import String, MetaData, ForeignKey
from sqlalchemy.orm import mapper
from sqlalchemy.orm ... | fredsilva/Pgdasd | SqlAlchemy/Conexao.py | Conexao.py | py | 1,257 | python | en | code | 0 | github-code | 1 |
35312536605 | # una lista enlazada o anidada es una colección lineal de elementos de datos cuyo orden no esta dado por su ubicación fisica en la memoria, sino que cada elemento apunta al siguiente.
# Es una estructura de datos que consiste en una colección de nodos que juntos representan una secuencia en su forma mas basica , cada n... | leafarJS/Algorithms-_basic_with_Python | 08_linked_lists.py | 08_linked_lists.py | py | 2,121 | python | es | code | 0 | github-code | 1 |
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