seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | 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 โ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
39455791168 | def even_odd(data, redata):
if len(data) == 0:
return redata
else:
if data[0] % 2 == 0:
redata.insert(0, data[0])
return even_odd(data[1:], redata)
else:
redata.append(data[0])
return even_odd(data[1:], redata)
if __name__ == '__main__':
... | huyuan95/Learn-Python | data structure/ch04/C4_19.py | C4_19.py | py | 401 | python | en | code | 0 | github-code | 36 |
38567808559 | adjList = {
'a' : ['b','c','d'],
'b' : ['a','c'],
'c' : ['a','b','d','e'],
'd' : ['a','c','e'],
'e' : ['c','d','f'],
'f' : ['e']
}
'''
visited = {a:1}
# parent = {}
dfsTraversal = []
for node in adjList.keys():
visited[node] = 0
# # parent[node] = None
def dfs(source):
vis... | archanakalburgi/Algorithms | Graphs/depthFirstSeaarch.py | depthFirstSeaarch.py | py | 863 | python | en | code | 1 | github-code | 36 |
34338800542 | # https://leetcode.com/problems/n-ary-tree-level-order-traversal/
from typing import List
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
class Solution:
def levelOrder(self, root: 'Node') -> List[List[int]]:
rs... | 0x0400/LeetCode | p429.py | p429.py | py | 714 | python | en | code | 0 | github-code | 36 |
34734577549 | import numpy as np
import time
pi = np.pi
naxis = np.newaxis
F_2D = lambda x: np.fft.fft2(x, axes=(0, 1))
IF_2D = lambda x: np.fft.ifft2(x, axes=(0, 1))
F_3D = lambda x: np.fft.fftn(x, axes=(0, 1, 2))
IF_3D = lambda x: np.fft.ifftn(x, axes=(0, 1, 2))
def pupilGen(fxlin, fylin, wavelength, na, na_in=0.0):
'''
pu... | Waller-Lab/3DQuantitativeDPC | python_code/algorithm_3ddpc.py | algorithm_3ddpc.py | py | 16,007 | python | en | code | 11 | github-code | 36 |
35000621242 | import os
import torch
import pandas as pd
import torchaudio
import cv2
import torchaudio.transforms as T
from torch.utils.data import Dataset
import numpy as np
from .utils_dataset import get_transform
class BatvisionV2Dataset(Dataset):
def __init__(self, cfg, annotation_file, location_blacklist=None):
... | AmandineBtto/Batvision-Dataset | UNetSoundOnly/dataloader/BatvisionV2_Dataset.py | BatvisionV2_Dataset.py | py | 3,853 | python | en | code | 6 | github-code | 36 |
44033939735 | import sys
import heapq
n = int(sys.stdin.readline())
heap = []
computers = [0 for _ in range(n)]
count = [0 for _ in range(n)]
su = 0
for _ in range(n):
p,q = map(int, sys.stdin.readline().split())
heapq.heappush(heap, [p,q])
while heap:
temp = heapq.heappop(heap)
for i in range(l... | GluteusStrength/Algorithm | ๋ฐฑ์ค/Gold/12764.โ
์ธ์ง๋ฐฉ์โ
๊ฐโ
์คํ/์ธ์ง๋ฐฉ์โ
๊ฐโ
์คํ.py | ์ธ์ง๋ฐฉ์โ
๊ฐโ
์คํ.py | py | 615 | python | en | code | 0 | github-code | 36 |
40776965677 | def minimumSwaps(arr):
count = 0
for i in range(len(arr)):
while arr[i] != i+1:
temp = arr[i];
arr[i] = arr[temp-1];
arr[temp-1] = temp;
count +=1;
return count;
n=int(input())
a=list(map(int,input().split()))
print(minimumSwaps(a)) | keshavsingh4522/Python | HackerRank/Interview Preparation Kit/Arrays/Minimum-Swaps-2.py | Minimum-Swaps-2.py | py | 302 | python | en | code | 67 | github-code | 36 |
72489930665 | import numpy as np
import itertools
import argparse
cards = ['A', 'K', 'Q', 'J', '10', '9', '8', '7', '6', '5', '4', '3', '2']
suits = ['S', 'H', 'C', 'D']
class Card:
def __init__(self, val, suit):
self.val = val
self.suit = suit
def __str__(self):
return f'{self.val} {self.suit}'
c... | arpit-1110/Poker | poker_odds.py | poker_odds.py | py | 7,581 | python | en | code | 0 | github-code | 36 |
3642645644 | #!/usr/bin/python
import json
import sys
out_file = sys.argv[1]
document_entities_file = sys.argv[2]
query_file = sys.argv[3]
query_docs = {}
docs = set()
with open(out_file) as f:
for line in f:
query, _, document, rank, _, _ = line.split()
rank = int(rank)
if rank > 10:
continue
if query not in query_... | gtsherman/entities-experiments | src/query_entities.py | query_entities.py | py | 992 | python | en | code | 0 | github-code | 36 |
74105621545 | from django.shortcuts import render
# se importan los modelos
from .models import Author, Genre, Book, BookInstance
# se crea la funcion index
def index (request) :
# se optiene el numero de libros
num_books = Book.objects.all().count()
# se optiene el numero de instancias
num_inctances = Book... | MallicTesla/Mis_primeros_pasos | Programacion/002 ejemplos/002 - 13 django catalogo/catalog/views.py | views.py | py | 1,201 | python | es | code | 1 | github-code | 36 |
31508455076 | import asyncio
import json
from aiogram import Bot, Dispatcher, executor, types
from aiogram.utils.markdown import hbold, hunderline, hcode, hlink
from aiogram.dispatcher.filters import Text
from config import token
from test import morph
from main import check_news_update
bot = Bot(token=token, parse_mode=types.Par... | KondratevProgi/news | tg_bot.py | tg_bot.py | py | 2,254 | python | en | code | 0 | github-code | 36 |
6568975593 | #6588
from sys import stdin
array = [True for i in range(1000001)] # ์ ์ฒด ์ ๋งํผ True์ ๋ฆฌ์คํธ ์์ฑ
for i in range(2, 1001): # 1001 = int(math.sqrt(1000000)) + 1, ์๋ผํ ์คํ
๋ค์ค ์ฒด -> 1000^2 = 1000000: ์ ๊ณฑ๊ทผ๊น์ง๋ง ๊ฒ์ฆํด ์ฝ๋ ๊ฐ๋ค.
if array[i]:
for k in range(i + i, 1000001, i): #range(์์ ์ซ์, ์ข
๋ฃ์ซ์, step)
array[k] = False... | jjun-ho/Baekjoon | ์๊ณ ๋ฆฌ์ฆ ๊ธฐ์ด 1/2-1. ์ํ 1/6_๊ณจ๋๋ฐํ์_์ถ์ธก.py | 6_๊ณจ๋๋ฐํ์_์ถ์ธก.py | py | 2,100 | python | ko | code | 0 | github-code | 36 |
33939924493 | import unittest
import random
from sortedkeycollections import AVLTree, SortedKeyList, SortedArrayList
class TestSortedKeyList(unittest.TestCase):
def setUp(self):
self.test_class = SortedKeyList
def test_insert(self):
values_integer = [(21, '113'), (71, 'wcwf'), (-6, (121, 32, 'x')), (11, 23... | i1red/oop-3rd-sem | lab1/tests/test_sortedkeycollections.py | test_sortedkeycollections.py | py | 2,935 | python | en | code | 0 | github-code | 36 |
71578942183 | import vtk
def main():
colors = vtk.vtkNamedColors()
# Set the background color.
colors.SetColor("bkg", [0.2, 0.3, 0.4, 1.0])
# Create a sphere to deform
sphere = vtk.vtkSphereSource()
sphere.SetThetaResolution(51)
sphere.SetPhiResolution(17)
sphere.Update()
bounds = sphere.G... | lorensen/VTKExamples | src/Python/Meshes/DeformPointSet.py | DeformPointSet.py | py | 3,526 | python | en | code | 319 | github-code | 36 |
45556966628 | """Calcula el precio de la energรญa diario a partir de los precio horarios"""
import pathlib
from utils import read_format_hourly_prices, resample_hourly_prices
base_path = pathlib.Path.cwd()
cleansed_path = base_path.joinpath("data_lake/cleansed")
business_path = base_path.joinpath("data_lake/business")
def compute... | productos-de-datos/proyecto-albetancurqu42 | src/data/compute_daily_prices.py | compute_daily_prices.py | py | 1,216 | python | es | code | 0 | github-code | 36 |
71119081063 | def minigame():
import pygame
import sys
import pictures
import random
status = 'alive'
zombie_size = [50,100,150,200,250,300]
obstacle_list = []
bg_pos = 0
move= 0
side = 0
score = 0
game_screen = pygame.display.set_mode((608,342)) #creates a screen 1024 pixels wide and 576 pixels long
clock = pygame... | jadeyujinlee/Smithpocalypse-v.1 | minigame.py | minigame.py | py | 3,488 | python | en | code | 0 | github-code | 36 |
37677063476 | #!/usr/bin/env python3
import os
import sys
import urllib.request
from flask import (
Flask,
flash,
jsonify,
make_response,
redirect,
render_template,
request,
)
from werkzeug.utils import secure_filename
from scripts import predict_model
from scripts import mongodb
from scripts import tr... | projectasteria/PlaceholderAPI | app.py | app.py | py | 6,137 | python | en | code | 0 | github-code | 36 |
74267310505 | # -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | line/line-bot-sdk-python | linebot/models/actions.py | actions.py | py | 9,405 | python | en | code | 1,739 | github-code | 36 |
30788452362 | import sys
input = sys.stdin.readline
from queue import PriorityQueue
queue = PriorityQueue() # ์ฐ์ ์์ ํ
N = int(input())
for i in range(N):
a = int(input())
if a == 0:
if queue.empty():
print(0)
else:
print(-queue.get()) # ๊ฐ์ฅ ํฐ ๊ฐ ์ ๊ฑฐํ๊ณ - ๋ถ์ฌ์ ์ถ๋ ฅํ๊ธฐ (๋ฃ์ ๋ ์์๋ก ... | sojungpp/Algorithm | ๋ฐฑ์ค/Silver/11279.โ
์ต๋โ
ํ/์ต๋โ
ํ.py | ์ต๋โ
ํ.py | py | 480 | python | ko | code | 0 | github-code | 36 |
17789850439 | class SLList():
class node():
def __init__(self,data):
self.element=data
self.next = None #declares and intializes to NONE
#NODE class is visible to every method in SLLIST class
def __init__(self):#happens at every obj creation for SLList class
self.head = se... | abi2189/DBMS-Electricity-Bill-Payment-System | AP-WORK/python/linkedList.py | linkedList.py | py | 2,831 | python | en | code | 0 | github-code | 36 |
24788364259 | import collections
import heapq
class Solution:
def networkDelayTime(self, times: list[list[int]], n: int, k: int) -> int:
graph = collections.defaultdict(list)
for u, v, w in times:
graph[u].append((w, v))
hq = [(0, k)]
dist = collections.defaultdict(int)
while h... | inhyeokJeon/AALGGO | Python/LeetCode/shortest_path/743_network_delay_time.py | 743_network_delay_time.py | py | 772 | python | en | code | 0 | github-code | 36 |
70943557223 | from pyspark.sql import SparkSession
spark = SparkSession.builder.appName('test_rdd').getOrCreate()
sc = spark.sparkContext
class TestRDD():
# Creations
def test_create_from_dataframe(self):
df = spark.range(10).toDF('id')
rdd = df.rdd
rows = rdd.collect()
assert len(rows) == ... | bablookr/big-data-experiments | pyspark-experiments/test/test_rdd.py | test_rdd.py | py | 4,725 | python | en | code | 0 | github-code | 36 |
71578941543 | #!/usr/bin/env python
import os.path
import vtk
def get_program_parameters():
import argparse
description = 'Decimate polydata.'
epilogue = '''
This is an example using vtkDecimatePro to decimate input polydata, if provided, or a sphere otherwise.
'''
parser = argparse.ArgumentParser(descrip... | lorensen/VTKExamples | src/Python/Meshes/Decimation.py | Decimation.py | py | 5,683 | python | en | code | 319 | github-code | 36 |
43034357184 | import datetime
import os
import time
import xarray as xr
from app.dataprocessing.benchmark import Timer
from app.dataprocessing.datasource_interface import IDatasource
from app.dataprocessing.local.local_reader import LocalReader
from app.dataprocessing.remote.opendap_access_cas import OpendapAccessCAS
from app.datas... | oyjoh/adaptive-data-retrieval | app/dataprocessing/data_handler.py | data_handler.py | py | 5,439 | python | en | code | 0 | github-code | 36 |
16173071673 | """
Count the number of occurrences of each character and return it as a (list of tuples) in order of appearance.
For empty output return (an empty list).
Consult the solution set-up for the exact data structure implementation depending on your language.
Example:
ordered_count("abracadabra") == [('a', 5), ('b', 2), ... | genievy/codewars | tasks_from_codewars/7kyu/Ordered Count of Characters.py | Ordered Count of Characters.py | py | 752 | python | en | code | 0 | github-code | 36 |
9108378468 | from setuptools import setup, find_packages
from os import path
from io import open
here = path.abspath(path.dirname(__file__))
reqs = []
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
with open(path.join(here, "requirements.txt"), encoding="utf-8") as f:
read_lin... | kirankotari/decimaljs | setup.py | setup.py | py | 1,323 | python | en | code | 1 | github-code | 36 |
451086909 | #!/usr/bin/python3
from .config_utils import get_base_config
from .crypto_utils import hash_file
from .file_utils import profile_url_file, clean_up
from .filter_utils import filter_url_list
from .log_utils import get_module_logger
from .plugin_utils import load_plugins
from .viper_utils import upload_to_viper
from .vi... | phage-nz/ph0neutria | core/malware_utils.py | malware_utils.py | py | 5,478 | python | en | code | 299 | github-code | 36 |
30714122215 | import math
from re import L
import cv2
import mediapipe as mp
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from moviepy.editor import VideoFileClip
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_pose = mp.solutions.pose
subjectpath = '/Volumes/Transcend... | wenxxi/LESS-video-slicing | s_ankle_slicing.py | s_ankle_slicing.py | py | 6,489 | python | en | code | 0 | github-code | 36 |
74050760424 | import unittest
import parlai.utils.testing as testing_utils
class TestAlice(unittest.TestCase):
def test_alice_runs(self):
"""
Test that the ALICE agent is stable over time.
"""
valid, test = testing_utils.eval_model(dict(task='convai2', model='alice'))
self.assertEqual(va... | facebookresearch/ParlAI | tests/nightly/cpu/test_alice.py | test_alice.py | py | 389 | python | en | code | 10,365 | github-code | 36 |
13038148522 | import fresh_tomatoes
import media
import requests
import json
import config
youtube_suffix = config.youtube_key
youtube_prefix = 'https://www.youtube.com/watch?v='
# Movie list -- Here you can add and subtract movies as your tastes change
movie_list = ["There Will Be Blood", "The Life Aquatic", "Unforgiven",
... | aaronbjohnson/movie-trailer-website | entertainment_center.py | entertainment_center.py | py | 1,862 | python | en | code | 0 | github-code | 36 |
43612785268 | # -*- coding: utf-8 -*-
from odoo import api, fields, models
class reader(models.Model):
_name = 'rfid.reader'
_description = 'RFID Reader'
name = fields.Char(string="Reader Name")
alias = fields.Char(string="Reader Alias")
mac_address = fields.Char(string="MAC Address")
tag_reads = fields.... | Maralai/fx-connect | models/models.py | models.py | py | 2,276 | python | en | code | 0 | github-code | 36 |
23420997070 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('ventas', '0075_auto_20161016_1522'),
]
operations = [
migrations.RenameField(
model_name='comanda',
... | pmmrpy/SIGB | ventas/migrations/0076_auto_20161016_1554.py | 0076_auto_20161016_1554.py | py | 1,288 | python | en | code | 0 | github-code | 36 |
40885362078 | import numpy as np
# Things that were changed from the original:
# - Reformatted code and variable names to conform with PEP8
# - Added legal header
# This file contains routines from Lisbon Machine Learning summer school.
# The code is freely distributed under a MIT license. https://github.com/LxMLS/lxmls-toolkit/... | IntelLabs/nlp-architect | nlp_architect/models/bist/decoder.py | decoder.py | py | 4,909 | python | en | code | 2,921 | github-code | 36 |
40067300798 | import pandas as pd
import numpy as np
from sklearn import preprocessing
i = 5
train_mice = '../data/five_imps/train_mice_%d.csv' % i
all_mice = '../data/five_imps/all_mice_%d.csv' % i
train_hot = '../data/five_imps/train_mice_hot_%d.csv' % i
test_hot = '../data/five_imps/test_mice_hot_%d.csv' % i
# Read dataframe... | Pold87/ml-final-ass | Python/onehot.py | onehot.py | py | 915 | python | en | code | 0 | github-code | 36 |
6798346511 | import celery
import logging
import requests
from django.conf import settings
from ..models import Job
from ..helper import data_job_for_applicant
JOB_URL_CREATE = 'api/admin/'
JOB_URL_DETAIL = 'api/admin/{}/'
logger = logging.getLogger('celery-task')
class ApplicantJobMixin:
host = settings.EXOLEVER_HOST + ... | tomasgarzon/exo-services | service-exo-opportunities/jobs/tasks/applicant.py | applicant.py | py | 2,899 | python | en | code | 0 | github-code | 36 |
28692702951 | # Demander ร l'utilisateur de saisir une phrase
phrase_utilisateur = input("Veuillez saisir une phrase : ")
# Initialiser le compteur de mots
nombre_mots = 0
mot = False
# Parcourir chaque caractรจre de la phrase
for caractere in phrase_utilisateur:
if caractere != ' ':
# Si le caractรจre n'est pas un espac... | felixgetaccess/dc5-freyss-felix-baignoire-data | ex1-b.py | ex1-b.py | py | 1,386 | python | fr | code | 0 | github-code | 36 |
20360966046 | from tkinter import *
from tkinter import ttk
from tkinter.filedialog import askdirectory
from tkinter.filedialog import askopenfilename
from PIL import Image
# =================================================================================
def convertion():
u_path = str(t1.get())
d_path = str(t2.... | sagnik403/Image-Converter-Tkinter | main.py | main.py | py | 2,752 | python | en | code | 1 | github-code | 36 |
39366415760 | from data_preparation import Preprocessing
import pickle
import tensorflow as tf
import os
from tensorflow.python.framework import ops
from sklearn.metrics.classification import accuracy_score
from sklearn.metrics import precision_recall_fscore_support
import warnings
warnings.filterwarnings("ignore")
os.environ['TF_... | PacktPublishing/Deep-Learning-with-TensorFlow-Second-Edition | Chapter06/LSTM_Sentiment/predict.py | predict.py | py | 3,018 | python | en | code | 48 | github-code | 36 |
15138075498 | """
test cli module
"""
import subprocess
from typing import List, Tuple
def capture(command: List[str]) -> Tuple[bytes, bytes, int]:
proc = subprocess.Popen(
command,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
out, err = proc.communicate()
return out, err, proc.returnco... | entelecheia/super-duper-waddle | tests/sdwaddle/test_cli.py | test_cli.py | py | 469 | python | en | code | 19 | github-code | 36 |
18515803588 | class Solution(object):
def removeComments(self, source):
"""
:type source: List[str]
:rtype: List[str]
"""
inblock = False
result = []
remain = []
for line in source:
blockStart = -2
blockEnd = -2
for i,c in enumer... | jimmy623/LeetCode | Solutions/Remove Comments.py | Remove Comments.py | py | 1,081 | python | en | code | 0 | github-code | 36 |
16645056447 | import re
import pandas as pd
pd.set_option('display.max_rows', None)
from pathlib import Path
file_path = Path('texts/wf_anthology.txt')
# Read in the text file as a string
with open(file_path, 'r') as f:
text = f.read()
# define the regular expression pattern to match the section title, author's name, and intr... | kspicer80/weird_fiction_experiments | author_story_similarity.py | author_story_similarity.py | py | 1,727 | python | en | code | 0 | github-code | 36 |
25546091528 | # def sum_of_intervals(intervals):
# sum_of_length = []
# for char in intervals:
# length_of_intervals = char[1]-char[0]
# print(sum_of_length)
# def sum_of_intervals(intervals):
# # Sort the intervals
# sorted_intervals = sorted(intervals)
# # Initialize variables to keep track of ... | LeaBani/algo-training | python/sumIntervals.py | sumIntervals.py | py | 2,076 | python | en | code | 0 | github-code | 36 |
18767587589 | # ะะฐะดะฐัะฐ 26: ะะฐะฟะธัะธัะต ะฟัะพะณัะฐะผะผั, ะบะพัะพัะฐั ะฝะฐ ะฒั
ะพะด ะฟัะธะฝะธะผะฐะตั ะดะฒะฐ ัะธัะปะฐ A ะธ B,
# ะธ ะฒะพะทะฒะพะดะธั ัะธัะปะพ ะ ะฒ ัะตะปัั ััะตะฟะตะฝั B ั ะฟะพะผะพััั ัะตะบัััะธะธ.
import my_functions
my_functions.show_header("ะัะพะณัะฐะผะผะฐ ะฒะพะทะฒะพะดะธั ะฒะฒะตะดะตะฝะฝะพะต ัะธัะปะพ ะฒ ะฒะฒะตะดะตะฝัั ััะตะฟะตะฝั")
num = my_functions.get_number("ะะฒะตะดะธัะต ัะธัะปะพ:")
degree = my_functions.get_num... | AntonkinAnton/Python_HomeWork | task026.py | task026.py | py | 639 | python | ru | code | 0 | github-code | 36 |
72170366505 | import pandas as pd
import numpy as np
import joblib
import pickle
import warnings
import os
from data.make_dataset import preprocess_train_df
warnings.filterwarnings("ignore")
def make_categorical_dataset(processed_dfs, proteins_df):
"""
Turns the train_updrs.csv into a categorical dataset
based on the ... | dagartga/Boosted-Models-for-Parkinsons-Prediction | src/pred_pipeline.py | pred_pipeline.py | py | 9,293 | python | en | code | 0 | github-code | 36 |
17585289452 | import requests
from starwhale import Link, Image, Point, dataset, Polygon, MIMEType # noqa: F401
from starwhale.utils.retry import http_retry
PATH_ROOT = "https://starwhale-examples.oss-cn-beijing.aliyuncs.com/dataset/cityscapes"
ANNO_PATH = "disparity/train"
DATA_PATH_LEFT = "leftImg8bit/train"
DATA_PATH_RIGHT = "... | star-whale/starwhale | example/datasets/cityscapes/disparity/dataset.py | dataset.py | py | 2,278 | python | en | code | 171 | github-code | 36 |
17883497405 | import time
t_start_script = time.time()
print(__name__)
import matplotlib.pyplot as plt
import numpy as np
a = np.random.randn(1000 * 100* 100)
print('start_time and prepare data:', time.time() - t_start_script)
print(a.shape)
print(sys.argv)
# >>>
#print('11123',a)
if __name__ == '__main__':
t0 = time.time()... | pyminer/pyminer | pyminer/packages/applications_toolbar/apps/cftool/test1.py | test1.py | py | 542 | python | en | code | 77 | github-code | 36 |
15442911590 | import argparse
from . import completion_helpers
class ArgumentParser(argparse.ArgumentParser):
def enable_print_header(self):
self.add_argument(
'-q', action='store_true',
help="Suppresses printing of headers when multiple tasks are " +
"being examined"
... | mesosphere-backup/mesos-cli | mesos/cli/parser.py | parser.py | py | 1,067 | python | en | code | 116 | github-code | 36 |
15948222705 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import OneHotEncoder
def get_data_splits(X, Y, train_size=0.8):
"""This function splits the whole dataset into train, test and validation sets.
Args:
X (pd.DataFrame): DataFrame containing feature valu... | rahbararman/AnoShiftIDS | IDSAnoShift/data.py | data.py | py | 5,408 | python | en | code | 0 | github-code | 36 |
15009189438 | import pathlib
from typing import Optional
import essentia.standard as es
import numpy as np
import pyrubberband as pyrb
from madmom.features.downbeats import DBNDownBeatTrackingProcessor, RNNDownBeatProcessor
from mixer.logger import logger
SAMPLE_RATE = 44100 # Sample rate fixed for essentia
class TrackProcesso... | joekitsmith/mixer | mixer/processors/track.py | track.py | py | 5,050 | python | en | code | 0 | github-code | 36 |
22163777058 | #!/usr/bin/env python
import csv
import gzip
import os
import re
import sys
from pyproj import Transformer
csv.field_size_limit(sys.maxsize)
AMOUNT_REGEX = re.compile('Both Installment[\s\S]+?\$([\d,\.]+)')
# California Zone 3
# https://epsg.io/2227
transformer = Transformer.from_crs(2227, 4326)
def get_val(row, ... | typpo/ca-property-tax | scrapers/santa_cruz/parse.py | parse.py | py | 2,041 | python | en | code | 89 | github-code | 36 |
15514519322 | import json
import os
import shutil
import sys
import tempfile
import unittest
from compare_perf_tests import LogParser
from compare_perf_tests import PerformanceTestResult
from compare_perf_tests import ReportFormatter
from compare_perf_tests import ResultComparison
from compare_perf_tests import TestComparator
from ... | apple/swift | benchmark/scripts/test_compare_perf_tests.py | test_compare_perf_tests.py | py | 38,114 | python | en | code | 64,554 | github-code | 36 |
6198215490 | def check(want, ten):
flag = 1
for one in want:
if one not in ten or ten[one] < want[one]:
flag = 0
break
return flag
# ๊ทธ๋ฌ๋ฉด discount์ ์๋ ๊ฐ์ด 100000 ๊น์ง ์กด์ฌํ ์ ์๋๋ฐ ์ด๊ฑธ 10๊ฐ์ฉ ๋ฏธ๋ฃจ๋ฉด์ ๋์
๋๋ฆฌ ๋ง๋ค๋ฉด..
#
def solution(want, number, discount):
dic = {}
want_dic = {}
answer = 0
f... | byeong-chang/Baekjoon-programmers | ํ๋ก๊ทธ๋๋จธ์ค/lv2/131127.โ
ํ ์ธโ
ํ์ฌ/ํ ์ธโ
ํ์ฌ.py | ํ ์ธโ
ํ์ฌ.py | py | 854 | python | en | code | 2 | github-code | 36 |
41551247368 | from importlib.resources import path
from kubernetes import client as kclient
from kubernetes import config
config.load_incluster_config()
v1 = kclient.CoreV1Api()
# Trainer Pod deletes itself
try:
api_response = v1.delete_namespaced_pod(
name='trainer', namespace='mlbuffet')
except Exception as e:
p... | zylklab/mlbuffet | modules/trainer/apoptosis.py | apoptosis.py | py | 408 | python | en | code | 6 | github-code | 36 |
22783063408 | #
# @lc app=leetcode id=347 lang=python3
#
# [347] Top K Frequent Elements
#
# https://leetcode.com/problems/top-k-frequent-elements/description/
#
# algorithms
# Medium (62.25%)
# Likes: 4564
# Dislikes: 260
# Total Accepted: 550.4K
# Total Submissions: 881.4K
# Testcase Example: '[1,1,1,2,2,3]\n2'
#
# Given a ... | Zhenye-Na/leetcode | python/347.top-k-frequent-elements.py | 347.top-k-frequent-elements.py | py | 2,170 | python | en | code | 17 | github-code | 36 |
73744186345 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lexicon', '0112_auto_20160929_1340'),
]
operations = [
migrations.AlterModelOptions(
name='meaning',
... | lingdb/CoBL-public | ielex/lexicon/migrations/0113_auto_20161004_1315.py | 0113_auto_20161004_1315.py | py | 682 | python | en | code | 3 | github-code | 36 |
19340358372 | import json
import logging
import math
from django.db import IntegrityError
from django.db.models import F
from datetime import datetime, timedelta
from django.template.loader import render_to_string
from anodyne import settings
from api.models import Reading, Station, StationInfo, StationParameter, \
Exceedance,... | anodyneweb/aw_backend | anodyne/anodyne/connectors/to_database.py | to_database.py | py | 6,957 | python | en | code | 0 | github-code | 36 |
42026376598 | # -*- coding: utf-8 -*-
from django.conf.urls import url
from .views import HomeView, ArchivesView, AboutView, PhotoView, MusicView, ArticleDetailView, CategoryView, TagListView, TagsView, CategoryListView, search
urlpatterns = [
url(r'^$', HomeView.as_view(), name='home'),
url(r'^archives/(?P<year>[0-... | JustBreaking/myblog | apps/myblog/urls.py | urls.py | py | 1,101 | python | en | code | 0 | github-code | 36 |
43911017589 | import datetime
import zadanie2lista6
import zadanie22lista6
plik = 'plik_do_szyfrowania.txt.txt'
openplik = open(plik,"r").read()
a = int(input("Podaj liczbe od 1-10: "))
date_today = datetime.date.today()
month = date_today.month
year = date_today.year
day = date_today.day
g = ['plik_zaszyfrowany','_',a,year,'-'... | AWyszynska/JSP2022 | lista8/zadanie1i2.py | zadanie1i2.py | py | 898 | python | pl | code | 0 | github-code | 36 |
72498628583 | import os
import sys
import zipfile
import urllib.request
import filecmp
import shutil
import errno
import typing
import orjson
VERSIONS_JSON = "https://launchermeta.mojang.com/mc/game/version_manifest.json"
RELEASE_TYPES = typing.Literal["release", "snapshot"]
def fetch_json(url: str):
response = urllib.request... | AstreaTSS/mc-texture-changes | compare.py | compare.py | py | 3,236 | python | en | code | 1 | github-code | 36 |
71001076263 | #!/usr/bin/env python
#
# This script downloads a game from OGS and produces a .game file
# that can be used by our test estimator.
#
import requests
import sys
def fetch_game(game_id):
res = requests.get('https://online-go.com/termination-api/game/%d/state' % game_id)
if res.status_code != 200:
sys.s... | online-go/score-estimator | tools/fetch_ogs_game.py | fetch_ogs_game.py | py | 1,827 | python | en | code | 51 | github-code | 36 |
28780254481 | """
Python Crash Course, Third Edition https://ehmatthes.github.io/pcc_3e/
My notes: https://github.com/egalli64/pythonesque/pcc3
Chapter 15 - Generating Data - Plotting a Simple Line Graph - Plotting a Series of Points with scatter()
"""
import matplotlib.pyplot as plt
plt.style.use('seaborn')
fig, ax = plt.subplots... | egalli64/pythonesque | pcc3/ch15/e1f_scatter_points.py | e1f_scatter_points.py | py | 587 | python | en | code | 17 | github-code | 36 |
11032901468 | import sys
# Bottom-up implementation of the classic rod-cut problem
def bottom_up_rod(p, n):
r = [-1] * (n + 1)
r[0] = 0
for j in range(1, n+1):
q = -sys.maxsize + 1
for i in range(1, j+1):
q = max(q, p[i] + r[j -i])
r[j] = q
return r[n]
prices = {1:1, 2:5, 3:8, 4... | tonydelanuez/python-ds-algos | probs/bottom-up-rod.py | bottom-up-rod.py | py | 433 | python | en | code | 0 | github-code | 36 |
70376331945 | import XInput
from pynput import keyboard
from pygame import mixer
mixer.init()
import time
class XinputHandler(XInput.EventHandler):
def __init__(self, keyMan):
super().__init__(0, 1, 2, 3)
self.keyMan = keyMan
def process_button_event(self, event):
if event.type == XInput.EVENT_BUTTO... | tsoushi/SimpleRealtimeTJAEditor | taiko_nothread.py | taiko_nothread.py | py | 2,738 | python | en | code | 0 | github-code | 36 |
72426420905 | from rest_framework.test import APITestCase
from restapi.models import Companies, Countries
class FilterTest(APITestCase):
@classmethod
def setUpTestData(cls):
companies = 10
Countries.objects.create(name="c", continent="c", population=1, capital="c", surface=1)
country = Countries.ob... | UBB-SDI-23/lab-5x-andrei-crisan27 | backend-project/tests/test_filter.py | test_filter.py | py | 939 | python | en | code | 0 | github-code | 36 |
7004144868 | # define a function that take list of words as argument and
# return list with reverse of every element in that list
# example :
# ['abc','xyz','tuv'] ---> ['cba', 'zyx', 'vut']
def reverse_item(l):
r_list = []
for i in l:
r_list.append(i[::-1])
return r_list
l = ['abc','xyz','tuv']
print(revers... | salmansaifi04/python | chapter5(list)/14_exercise_03.py | 14_exercise_03.py | py | 330 | python | en | code | 0 | github-code | 36 |
17811935337 | import numpy as np
import logo
import words
print('\n')
print(logo.h_logo)
random_word = np.random.choice(words.words).lower()
print('\n')
print("Randomly chosen word for sample game: ", random_word)
display = []
for i in range(len(random_word)):
display += '_'
game = True
life = 5
while game == True:
prin... | SachinSaj/Python-Course-Projects | Hangman/hangman.py | hangman.py | py | 928 | python | en | code | 0 | github-code | 36 |
1137077324 | import json
# things we need for NLP
import nltk
from nltk.stem.lancaster import LancasterStemmer
nltk.download('punkt')
stemmer = LancasterStemmer()
# things we need for Tensorflow
import numpy as np
import tflearn
import tensorflow as tf
import random
import pickle
class ModelBuilder(object):
def __init__(self):... | nlokare/chatbot | chat_model.py | chat_model.py | py | 4,023 | python | en | code | 0 | github-code | 36 |
22430840352 | # Import SQLite3
import sqlite3
#create a database connection called "cars"
conn = sqlite3.connect("cars.db")
#Create the cursor to execute commands
cursor = conn.cursor()
#create a table/query called inventory that includes "make, model and quantity"
#use the cursor to execute this!
cursor.execute("""CREATE TABLE i... | JackM15/sql | car_sql.py | car_sql.py | py | 438 | python | en | code | 0 | github-code | 36 |
74430232105 | from django.urls import path
from . import views
urlpatterns = [
path(
'',
views.all_products,
name='products'),
path(
'ranked/',
views.products_ranking,
name='products_ranking'),
path(
'<int:product_id>/',
views.product_detail,
name='... | neil314159/portfolio-project-5 | products/urls.py | urls.py | py | 1,650 | python | en | code | 0 | github-code | 36 |
8400219894 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 24 13:08:39 2022
@author: luisdsaco
(C) 2017-2022 Luis Dรญaz Saco
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundat... | luisdsaco/sacagents | sample.py | sample.py | py | 3,298 | python | en | code | 0 | github-code | 36 |
2721632683 | class Solution(object):
# Time:O(N^2) Space: O(N)
def ThreeSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
nums.sort()
res = []
for i in range(len(nums)-2):
l = i + 1
r = len(nums)... | ZhengLiangliang1996/Leetcode_ML_Daily | Array/3Sum.py | 3Sum.py | py | 739 | python | en | code | 1 | github-code | 36 |
10793744334 | import copy
def polygonal(s, n):
if s == 3: # Triangle
return n * (n + 1) // 2
elif s == 4: # Square
return n * n
elif s == 5: # Pentagonal
return n * (3 * n - 1) // 2
elif s == 6: # Hexagonal
return n * (2 * n - 1)
elif s == 7: # Heptagonal
return n * (5 * n ... | WilliamLP/solvegpt | project_euler/gpt-4/61.py | 61.py | py | 1,597 | python | en | code | 0 | github-code | 36 |
39350644450 | import copy
import numpy as np
import cv2
import time
import random
import argparse
def draw_obstacles(canvas,clr=5,unknown=False, map_flag=1):
"""
@brief: This function goes through each node in the canvas image and checks for the
obstacle space using the half plane equations.
If the node is in obsta... | okritvik/MOD-RRT-Star-Implementation-Point-Robot | mod_rrt_star.py | mod_rrt_star.py | py | 22,275 | python | en | code | 4 | github-code | 36 |
71326379303 | import numpy as np
import sympy as sp
import math
from matplotlib import pyplot as plt
#BEGIN EXERCISE 1
def left_endpoint_sum(f,a,b,n):
d = (b-a) / n
sum = 0
for i in range(0,n):
sum += f(a + i*d)
return d*sum
def right_endpoint_sum(f,a,b,n):
d = (b-a) / n
sum = 0
for i in range(1,n+1):
sum +=... | Drew-Morris/Real-Analysis-PY | Integration/Integration-Vim.py | Integration-Vim.py | py | 6,124 | python | en | code | 0 | github-code | 36 |
37372176191 | import pyconll
from configuration import (
UD_PATH,
UD_STDCH_PATH, UD_CANTO_PATH,
UD_STDCH_CONLLU, UD_CANTO_CONLLU
)
import os
if not os.path.exists(UD_CANTO_CONLLU):
raise IOError("You need to download yue_hk-ud-test.conllu from\n"
" https://github.com/UniversalDependencies/UD_Canton... | kiking0501/Cantonese-Chinese-Translation | code/v2/dao_UD.py | dao_UD.py | py | 2,441 | python | en | code | 6 | github-code | 36 |
14416840611 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# ไปๆฐๆฎๅบ้้ขๅฏผๅบไธๅฎๆถ้ดๅ็่ฟๆๆไปฝ้ข็ไบบๅๅไบงๅๆฐๆฎ๏ผๆฏไธชไบงๅๆฏไธไธชExcel
import pymysql
from openpyxl import *
import os
#ๆฃ็ดขๆฏไธ่ก็็ฌฌไธไธชไบงๅไปฃ็ ๅญๆฎต๏ผๅฆๆๆฏๅไธไธชไปฃ็ ๏ผ่ฆไฟๅญๅจไธไธชExcel้๏ผไธๅไบงๅ็ๆฐๆฎ๏ผ็จไธๅ็Excelไฟๅญ
#fieldsๆฏๅๅ๏ผdataๆฏๆฐๆฎ้๏ผpathๆฏไฟๅญ็่ทฏๅพ๏ผๅฆๆ็ฉบ๏ผๅไฟๅญๅจๅฝๅ็ฎๅฝไธ
def SaveData2Excel(fields, data, path = ''):
if path == '':
path = os.getcw... | matthew59gs/Projects | python/market/export_fund_share2.py | export_fund_share2.py | py | 2,544 | python | en | code | 0 | github-code | 36 |
28031460700 | import pickle
import numpy as np
import sklearn.base
from matplotlib.figure import figaspect
from sklearn.linear_model import LogisticRegression
from dataclasses import dataclass
from sklearn.preprocessing import StandardScaler
from . import network
from tqdm import tqdm
from sklearn.decomposition import PCA
import m... | pni-lab/connattractor | connattractor/analysis.py | analysis.py | py | 16,176 | python | en | code | 2 | github-code | 36 |
7405277670 | import numpy as np
import math
import re
import feedparser as fp
def loadDataSet():
postingList = [['my', 'dog', 'has', 'flea', 'problems', 'help', 'please'],
['maybe', 'not', 'take', 'him', 'to', 'dog', 'park', 'stupid'],
['my', 'dalmation', 'is', 'so', 'cute', 'I', 'love', 'h... | GuoBayern/MachineLearning | bayes.py | bayes.py | py | 5,884 | python | en | code | 0 | github-code | 36 |
70553069544 | import os, datetime, time
import torch
import torch.optim as optim
import numpy as np
import math
import cv2
import tqdm
import config
import constants
from utils.trainer_utils import (
AverageMeter,
get_HHMMSS_from_second,
save_checkpoint,
save_all_img,
save_joints3d_img,
save_mesh,
save... | JunukCha/SSPSE | trainer.py | trainer.py | py | 45,916 | python | en | code | 6 | github-code | 36 |
17170052915 | import logging
from flask import Flask, request
from picstitch import load_review_stars, load_amazon_prime, load_fonts, \
PicStitch
from gcloud import storage
import boto
import io
import time
import os
# # ---- Logging prefs -----
log_format = "[%(asctime)s] [%(process)d] [%(levelname)-1s] %(message)s"
d... | Interface-Foundry/IF-root | src/image_processing/server.py | server.py | py | 3,767 | python | en | code | 1 | github-code | 36 |
74131826985 | import pytest
from framework.base_case import BaseCase
from framework.my_requests import MyRequests
from tests.assertions import Assertions
from tests.data_list_for_test import DataForCommon
id_req = '123-abc-321'
name = 'Jack'
surname = 'Lee'
age = 50
method = 'select'
filter_phone = '1234567890'
class TestCommon(B... | Bozmanok/qa-test | tests/test_common.py | test_common.py | py | 1,229 | python | en | code | 0 | github-code | 36 |
5114570440 | # settings.py
import json, os, yaml
appName = "logunittest"
cmdsUt = ["pipenv", "run", "python", "-m", "unittest"]
# cmds_pt = ["pipenv", "run", "pytest", "--capture=sys"]
cmdsPt = ["pipenv", "run", "pytest", "--capture=sys", "-v", "-s"]
packageDir = os.path.dirname(__file__)
projectDir = os.path.dirname(packageDir)
... | lmielke/logunittest | logunittest/settings.py | settings.py | py | 2,631 | python | en | code | 0 | github-code | 36 |
21527384857 | # -*- coding: utf-8 -*-
"""Document directory_store here."""
import codecs
import logging
import os
import platform
from six import string_types
from six.moves.urllib import parse as urllib
from oaiharvest.record import Record
class DirectoryRecordStore(object):
def __init__(self, directory, createSubDirs=False... | bloomonkey/oai-harvest | oaiharvest/stores/directory_store.py | directory_store.py | py | 2,189 | python | en | code | 62 | github-code | 36 |
20603617401 | from selenium import webdriver
page_type = -1 # set default
driver = webdriver.Firefox(executable_path="./geckodriver")
driver.fullscreen_window()
driver.implicitly_wait(30)
# for signal
import signal
'''
driver.window_handles[0] : Happy face (default)
driver.window_handles[1] : Map
driver.window_handles[2] : Sad ... | INYEONGKIM/tony-and-naeyo | ref/display-switching/selenium-ver/firefoxOpener.py | firefoxOpener.py | py | 2,350 | python | en | code | 0 | github-code | 36 |
42097295687 | # Date Printer
# Converting date from one format to another
# Anatoli Penev
# 11.01.2018
def main():
date = input('Enter a date in the form mm/dd/yyyy: ')
print_date(date)
def print_date(date):
month, day, year = date.split("/")
try:
print("The date is: {} {} {}".format(get_mon... | tolipenev/pythonassignments | date_print.py | date_print.py | py | 837 | python | en | code | 0 | github-code | 36 |
43914132518 | # ์๊ฐ
import sys
input = sys.stdin.readline
n = int(input())
result = 0
for h in range(n + 1):
for m in range(60):
for s in range(60):
if "3" in str(h)+str(m)+str(s):
result += 1
print(result)
| yesjuhee/study-ps | 2023_study/02_implementation/2.py | 2.py | py | 241 | python | en | code | 0 | github-code | 36 |
31835774368 | import math
d = listFontVariations("MutatorMathTest")
print(list(d.keys()))
for fontName in installedFonts():
variations = listFontVariations(fontName)
if variations:
print(fontName)
for axis_name, dimensions in variations.items():
print (axis_name, dimensions)
print ()
w... | LettError/mutatorSans | drawbot/animateMutatorSans.py | animateMutatorSans.py | py | 1,320 | python | en | code | 112 | github-code | 36 |
40403373260 | from dash import Dash, html, dcc
import plotly.express as px
import pandas as pd
import numpy as np
import statsmodels as sm
from scipy.stats import ttest_1samp
from statsmodels.stats.power import TTestPower
import plotly.express as px
import plotly.offline as pyo
import plotly.io as pio
from jupyter_dash import Jupyte... | ashton77/statistical-simulations | simulation_app.py | simulation_app.py | py | 3,106 | python | en | code | 0 | github-code | 36 |
38971244001 | from django.db import models
from datetime import datetime
from multiselectfield import MultiSelectField
from realtors.models import Realtor
from areaprops.models import Area
# Create your models here
# Choices for amenities
amenities_choices = (
('security','security'),
('gymnasium','gymnasium'),
('waste... | Saxena611/bp_real_estate | listings/models.py | models.py | py | 2,835 | python | en | code | 0 | github-code | 36 |
72907254504 | #Zadanie: Utwรณrz metodฤ, ktรณra pobierze liczbฤ i wypisze kaลผdy znak w osobnej
#linii zaczynajฤ
c od ostatniej cyfry (np. dla liczby 123 bฤdฤ
to trzy
#linie z 3, 2 i 1).
# Utworzenie funkcji showReverseWord
def showReverseWord():
# Zapisanie do zmiennej userInput liczby pobranej od uลผytkownika
userInput = input(... | szymon7890/python-1TP | 1 TP programowanie semestr 2/python3 09.06.2021 zadanie2.py | python3 09.06.2021 zadanie2.py | py | 663 | python | pl | code | 0 | github-code | 36 |
74516968424 | #!/usr/bin/env python
import score
from ctypes import *
class PenMLScore(score.Score):
def __init__(self, data, scoref,
do_cache=True, do_storage=True, cachefile=None):
self.scoref = scoref
self.scoref.restype = c_double
self.scoref.argtypes = [c_void_p, c_int, c_int, POINT... | tomisilander/bn | bn/learn/pen_ml_score.py | pen_ml_score.py | py | 562 | python | en | code | 1 | github-code | 36 |
8097925766 | import vk_api
from secret import secret
from vk_api.utils import get_random_id
class Vk:
def __init__(self):
vk_session = vk_api.VkApi(token=secret.vk_token2)
self.vk = vk_session.get_api()
def send_group_message(self, cht_id, msg):
self.vk.messages.send(
key=secret.key,
... | vgtstptlk/question_bot | api_vk.py | api_vk.py | py | 464 | python | en | code | 0 | github-code | 36 |
32322430246 | import random
import sys
MAX_SIZE = sys.maxsize
MIN_SIZE = 0
# Call program as python3 create_test_inputs.py $NUM_PAIRS
def get_random_pair(min_size, max_size):
x = random.randint(min_size, max_size)
y = random.randint(min_size, max_size)
return (x, y)
def write_pairs(pairs):
with open(f'testinput... | jemisonf/closest_pair_of_points | create_test_inputs.py | create_test_inputs.py | py | 668 | python | en | code | 2 | github-code | 36 |
15131224068 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def getMinimumDifference(self, root: TreeNode) -> int:
# ํ์ด์ ๋ด์ ๋น๊ณต๊ฐ
self.stack = []
# ํ์ด์ stack์ ์ค๋ฆ์ฐจ์์ผ๋ก ์ ๋ฆฌ
... | EnteLee/practice_algorithm | leetcode/530_minimum_absolute_difference_in_bst/minimum_absolute_difference_in_bst_LJS.py | minimum_absolute_difference_in_bst_LJS.py | py | 798 | python | en | code | 0 | github-code | 36 |
21577690614 | import yaml
import torch
import torch.nn as nn
from . import layers
class Model(nn.Module):
def __init__(self, yaml_file):
super(Model, self).__init__()
with open(yaml_file, 'r') as file:
try:
model_cfg = yaml.load(file.read(), Loader=yaml.FullLoader)
excep... | IMath123/imath | Model/__init__.py | __init__.py | py | 2,826 | python | en | code | 0 | github-code | 36 |
19452353827 | # Two sum O(N) O(N)
# Check 1497. Check If Array Pairs Are Divisible by k
# The difference in 1497 is once used need to delete it from lookup table
class Solution:
def numPairsDivisibleBy60(self, time: List[int]) -> int:
lookup = collections.defaultdict(int)
count = 0
for time in time:
... | whocaresustc/Leetcode-Summary | 1010. Pairs of Songs With Total Durations Divisible by 60.py | 1010. Pairs of Songs With Total Durations Divisible by 60.py | py | 439 | python | en | code | 0 | github-code | 36 |
22889044030 | import sys
from PyQt5 import QtCore, QtWidgets, uic
import mysql.connector as mc
from PyQt5.QtWidgets import QTableWidgetItem
from PyQt5.QtWidgets import QMessageBox
from FrmMatakuliah import WindowMatakuliah
qtcreator_file = "dashboard_admin.ui" # Enter file here.
Ui_MainWindow, QtBaseClass = uic.loadUiType(... | freddywicaksono/python_login_multiuser | DashboardAdmin.py | DashboardAdmin.py | py | 1,432 | python | en | code | 2 | github-code | 36 |
32998879166 |
def exec_op(instructions):
x = 1
for inst in instructions:
yield x
if inst[0] == 'addx':
yield x
x += int(inst[1])
def main() -> None:
"""
Day Ten Advent of Code problem
:return: None
"""
file = open('./input/dayTen.txt', 'r')
instructions = [l... | smenon18/AdventOfCode2022 | day_ten.py | day_ten.py | py | 701 | python | en | code | 0 | github-code | 36 |
30239035937 | """
This module provides functions for justifying Unicode text in a monospaced
display such as a terminal.
We used to have our own implementation here, but now we mostly rely on
the 'wcwidth' library.
"""
from unicodedata import normalize
from wcwidth import wcswidth, wcwidth
from ftfy.fixes import remove_terminal_es... | rspeer/python-ftfy | ftfy/formatting.py | formatting.py | py | 5,798 | python | en | code | 3,623 | github-code | 36 |
37635874200 | # Given an integer array with no duplicates. A maximum tree building on this array is defined as follow:
# The root is the maximum number in the array.
# The left subtree is the maximum tree constructed from left part subarray divided by the maximum number.
# The right subtree is the maximum tree constructed from righ... | sunnyyeti/Leetcode-solutions | 654_Maximum_Binary_tree.py | 654_Maximum_Binary_tree.py | py | 2,946 | python | en | code | 0 | github-code | 36 |
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