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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
20484377775 | from collections import Counter
# initializing string
test_str = "aabbbccde"
# using collections.Counter() to get
# count of each element in string
res = Counter(test_str)
# valuesList = list(res.values())
# # printing result
# str1 = str(res)
print(res)
keysList = list(res.keys())
print(keysList)
# pri... | prathammodi333/python-programs | pr1.py | pr1.py | py | 407 | python | en | code | 0 | github-code | 36 |
34987945802 | import sqlite3
import re
from gcpTalent import create_company
def sanitize_company_name(input_string):
# Replace spaces with underscores
sanitized_string = input_string.replace(' ', '_')
# Remove special characters using regular expression
sanitized_string = re.sub(r'[^a-zA-Z0-9_]', '', sanitized... | LoganOneal/job-scraper | gcp-talent/createCompanies.py | createCompanies.py | py | 1,099 | python | en | code | 0 | github-code | 36 |
22840825846 | import cv2
from skimage.measure import ransac
from skimage.transform import ProjectiveTransform, AffineTransform
import numpy as np
class FeatureExtractor(object):
def __init__(self, orbParam):
self.kpData = []
self.orb = cv2.ORB_create(orbParam)
def computeKpData(self, img):
kp, des ... | naurunnahansa/SLAM_implementation | featureExtractor.py | featureExtractor.py | py | 1,856 | python | en | code | 1 | github-code | 36 |
5728382872 | from actions._base import BaseAction, Action
import os
from actions._base import ActionBase
import asyncio
class ExploitAction(ActionBase):
async def __call__(self, *args, **kwargs):
# await asyncio.sleep(0)
rpc = await self.connect()
for exploit in kwargs["service_info"]["exploits"]:
... | PoteeDev/scenario-manager | manager/actions/exploit/main.py | main.py | py | 1,103 | python | en | code | 0 | github-code | 36 |
70807032423 | import sys
from collections import deque
sys.stdin = open('input.txt')
def bfs(start):
global answer
q = deque(start)
while q:
node = q.popleft()
answer += visited[node[0]][node[1]]
for k in range(4):
y = node[0] + dr[k]
x = node[1] + dc[k]
i... | unho-lee/TIL | CodeTest/Python/SWEA/10966.py | 10966.py | py | 1,161 | python | en | code | 0 | github-code | 36 |
20715607582 | # HAPPY NEW YEAR... or something.
import re
from collections import defaultdict
from itertools import repeat
DIRECTIONS = {
'se': (.5, 1),
'sw': (-.5, 1),
'nw': (-.5, -1),
'ne': (.5, -1),
'e': (1, 0),
'w': (-1, 0),
}
def find_tile(reference):
reference = re.findall('se|sw|nw|ne|e|w', refer... | jonassjoh/AdventOfCode | 2020/24/day24.py | day24.py | py | 1,682 | python | en | code | 0 | github-code | 36 |
32001984091 | class Solution:
def __init__(self) -> None:
self.memo={}
def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]:
self.memo = {len(graph)-1:[[len(graph)-1]]}
def calc(N):
if N in self.memo:
return self.memo[N]
a = []
f... | plan-bug/LeetCode-Challenge | microcephalus7/medium/797.1.py | 797.1.py | py | 484 | python | en | code | 2 | github-code | 36 |
20112154408 | import argparse
import tflearn
import numpy as np
from processsing import Processing
from training import Training
class Prediction():
def __init__(self):
# Construct the Neural Network classifier and start the learning phase
training = Training()
net = training.buildNN()
self.mod... | Pierre-Assemat/DeepPoseIdentification | predictions/WorkInProgress/prediction_tflearn.py | prediction_tflearn.py | py | 1,534 | python | en | code | 0 | github-code | 36 |
6163296593 | '''
Classe wordCloudGenerator que a partir de um conjunto de token gera uma nuvem de palavra
Argumentos:
text: lista de token (preferencilmente geradas pela classe pdfReader) (OBRIGATORIO)
max_font_size: tamanho maximo das palavras na nuvem
max_words: numero maximo de palavras na nuvem
background_color: color de fundo... | InfoEduc/Automatizando-Pesquisas-Bibliometricas | wordCloudGenerator.py | wordCloudGenerator.py | py | 1,515 | python | pt | code | 1 | github-code | 36 |
21818093229 | import pickle
from os import path
import os
import sys
# obter o cominho do arquivo
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# ir para parent_dir
sys.path.append(parent_dir)
def historic_process(id_user, mensagem_from_bot):
historic = []
file_name = f"{parent_dir}/historic/{id_... | lucashahnndev/Assistant-OS | src/historic.py | historic.py | py | 990 | python | en | code | 2 | github-code | 36 |
20233976437 | class Solution:
def findMedianSortedArrays(self, nums1, nums2):
nums = []
len1 = len(nums1)
len2 = len(nums2)
i = 0
j = 0
while i < len1 and j < len2:
if nums1[i] < nums2[j]:
nums.append(nums1[i])
i += 1
else:
... | geroge-gao/Algorithm | LeetCode/python/4_ๅฏปๆพไธคไธชๆญฃๅบๆฐไธญ็ไธญไฝๆฐ.py | 4_ๅฏปๆพไธคไธชๆญฃๅบๆฐไธญ็ไธญไฝๆฐ.py | py | 914 | python | en | code | 26 | github-code | 36 |
483065631 |
def headerForRequests():
header = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:96.0) Gecko/20100101 Firefox/96.0",
"Accept": "application/json, text/plain, */*",
"Accept-Language": "zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2",
... | wengyuanpei/pandaInterfaceTest | parameter/locustParameter.py | locustParameter.py | py | 1,076 | python | en | code | 0 | github-code | 36 |
19288984909 | import tensorflow as tf
import numpy as np
from dataset import get_dataset, get_rotation_augmentor, get_translation_augmentor
from model import build_model
AUTOTUNE = tf.data.experimental.AUTOTUNE
dataset, num_classes = get_dataset()
model = build_model(num_classes)
model.load_weights('./saved_weights/weights')
rn... | wdecay/ShapeClassification | test_model.py | test_model.py | py | 640 | python | en | code | 0 | github-code | 36 |
42245347977 | #!/usr/bin/python
# noinspection PyUnresolvedReferences
import json
import requests
from yoctopuce.yocto_api import *
from yoctopuce.yocto_display import *
from yoctopuce.yocto_anbutton import *
display_list = []
class SimpleXMBC(object):
def __init__(self, host, port, user, password):
self._password = ... | yoctopuce-examples/xbmc_remote | xbmc_remote.py | xbmc_remote.py | py | 6,386 | python | en | code | 0 | github-code | 36 |
30722703381 | #ํ์ด์ฌ ์ ๊ทํ ์ฐ์ต
import re
def RepresentObject(obj):
if obj:
print("Match found : ", obj.group()); #group์ด๋? -> ์ ๊ท ํํ์์ ์ฌ๋ฌ๊ฐ์ง ๊ทธ๋ฃน์ผ๋ก ๋๋ ์ ์์. ์ด๋ group(number) ๋งค๊ฐ๋ณ์ number์ ๋ฐ๋ผ ํด๋น ๊ทธ๋ฃน๋ง ํํ๋๊ฒ ํ ์ ์์. ์๋ฅผ ๋ค์ด group(1)์ด๋ผ๊ณ ํ๋ฉด ์ฒซ๋ฒ์งธ ๊ทธ๋ฃน์ ํด๋น๋๋ ๊ฐ์ฒด๋ค๋ง ๋ฐํ๋๊ฒ ๋จ.
else:
print("Not match");
#match - ๋ฌธ์์ด์ ์ฒ์๋ถํฐ ์ ๊ท์๊ณผ ๋งค์น๋๋ ... | Hoony0321/Algorithm | 2022_02/11/์ ๊ทํํ์๊ณต๋ถ.py | ์ ๊ทํํ์๊ณต๋ถ.py | py | 3,814 | python | ko | code | 0 | github-code | 36 |
7034071052 | def equalStacks(h1, h2, h3):
heights = [sum(h1), sum(h2), sum(h3)]
while heights[0] != heights[1] or heights[1] != heights[2]:
max_height = max(heights)
max_index = heights.index(max_height)
if max_index == 0:
heights[0] -= h1.pop(0)
elif max_index == 1:
h... | TheArchons/Leetcode | hackerrank/Datastructures/Stacks/EqualStacks.py | EqualStacks.py | py | 419 | python | en | code | 1 | github-code | 36 |
5511991110 |
import os
from re import M, search
from unicodedata import category
import requests
import json
import psycopg2
import itertools
from flask import Flask, render_template, request, flash, redirect, session, g, jsonify,url_for,abort
from sqlalchemy.exc import IntegrityError
from forms import LoginForm, UserAddForm, P... | MITHIRI1/Capstone-Project-1 | app.py | app.py | py | 8,123 | python | en | code | 0 | github-code | 36 |
24300694321 | from pyspark import SparkContext, SparkConf
from pyspark.sql import SQLContext, DataFrame
from pyspark.sql.functions import lit
from pyspark.sql.functions import split, explode, monotonically_increasing_id
import numpy as np
from numpy import linalg as LA
from scipy.sparse import csr_matrix
import json
import datetim... | SebasAndres/Recomendadores | src/sar/models/sar.py | sar.py | py | 8,299 | python | en | code | 0 | github-code | 36 |
6301592120 | # !/user/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/5/12 21:11
# @Author : chineseluo
# @Email : 848257135@qq.com
# @File : run.py
# @Software: PyCharm
import os
from Common.publicMethod import PubMethod
import logging
from selenium.webdriver.common.by import By
from Base.baseBy import BaseBy
pub_... | chineseluo/app_auto_frame_v1 | ActivityObject/elemParams.py | elemParams.py | py | 5,248 | python | en | code | 11 | github-code | 36 |
39585567433 | #0<xt<1
#0<r<4
r1=float(input("0 ila 4 arasฤฑnda bir r deฤeri girin."))
xรถ=0.1
for i in range(0,100):
print(i,xรถ)
a=1-xรถ
xs=(r1*xรถ)*a
xรถ=xs
| Yasemnerdogan/Kodluyoruz-71.AnkaraFullStack-Python-Angular | รถdevler/3)Python-hafta2-bireysel/dรถngรผler/d.5)Lojistik fonksiyon ve kaos.py.py | d.5)Lojistik fonksiyon ve kaos.py.py | py | 174 | python | tr | code | 0 | github-code | 36 |
18518883640 | import random
from multiprocessing import Pool
from ai_player import Ai_player
from deck import Deck
class Population:
"""
blackjack Ai player population
"""
POPULATION_SIZE = 400
BJ_ROUNDS = 50000
PARENT_SIZE = 5
MAX_THREADS = 40 # most efficient
def __init__(self):
def... | BenPVandenberg/blackjack-ai | Dustin_Marks/population.py | population.py | py | 2,112 | python | en | code | 1 | github-code | 36 |
20087427863 | from argparse import ArgumentParser
from copy import deepcopy
from pathlib import Path
def build_parser():
parser = ArgumentParser()
parser.add_argument(
'-i', '--input-filename', type=Path,
required=True
)
return parser
def string_to_integer_list(string):
return list(map(int, s... | reynoldscem/aoc2022 | day_08/part2.py | part2.py | py | 2,023 | python | en | code | 0 | github-code | 36 |
36808206999 | import os
import copy
from typing import Dict, Union
from torch.utils.data import Dataset
import torchio as tio
from .subject_loaders import SubjectLoader
from .subject_filters import SubjectFilter, ComposeFilters
class SubjectFolder(Dataset):
""" A PyTorch Dataset for 3D medical data.
Args:
root: ... | efirdc/Segmentation-Pipeline | segmentation_pipeline/data_processing/subject_folder.py | subject_folder.py | py | 9,208 | python | en | code | 1 | github-code | 36 |
14391422801 | import json
import os
from collections import OrderedDict
TRAIN_CATEGORY_TYPE_SPECS = {"optim": True, "batch_size": True}
TRAIN_RANGE_SPECS = {
"batch_size": {
"categories": [512, 1024]
},
# TODO: make learning rate sample range dependent on optimizer type.
"learning_rate": {
"low": -4.... | jiaqima/SODEN | range_specs.py | range_specs.py | py | 4,483 | python | en | code | 13 | github-code | 36 |
38608858024 | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 11 22:34:18 2018
@author: Roshan Zameer Syed
ID : 99999-2920
Description : Multivariate linear regression and backward elimination
"""
# Reading the dataset
import pandas as pd
data = pd.read_csv('Advertising.csv')
# Feature and response matrix
X = data.iloc[:,[1,2,3]].... | syedroshanzameer/Machine-Learning | Multi-variate Linear Regression/multiRegression.py | multiRegression.py | py | 1,600 | python | en | code | 0 | github-code | 36 |
2360857851 | """
ใ้ฎ้ขๆ่ฟฐใไธไธช็พไธๅฏ็ฟ็ขฐๅฐไธไธช้็ไบบ,้็ไบบๆพไป่ฐไบไธไธชๆข้ฑ็่ฎกๅ.่ฏฅ่ฎกๅๅฆไธ:ๆๆฏๅคฉ็ปไฝ 10ไธ,่ไฝ ็ฌฌไธๅคฉ็ปๆไธๅ
้ฑ,็ฌฌไบๅคฉๆไป็ปไฝ ๅไธ,ไฝ ็ปๆไบๅ
้ฑ,็ฌฌไธๅคฉๆไป็ปไฝ ๅไธ,ไฝ ็ปๆๅๅ
้ฑ......ไฝ ๆฏๅคฉ็ปๆ็้ฑๆฏๅไธๅคฉ็ไธคๅ,็ดๅฐๆปกn(0<=n<=30)ๅคฉ.็พไธๅฏ็ฟ้ๅธธ้ซๅ
ด,ๆฌฃ็ถๆฅๅไบ่ฟไธชๅฅ็บฆ.่ฏท็ผๅไธไธช็จๅบ,่ฎก็ฎ่ฟnๅคฉไธญ,้็ไบบ็ปไบๅฏ็ฟๅคๅฐ้ฑ,ๅฏ็ฟ็ปไบ้็ไบบๅคๅฐ้ฑ.
ใ่พๅ
ฅๅฝขๅผใ่พๅ
ฅๅคฉๆฐn(0<=n<=30)
ใ่พๅบๅฝขๅผใๆงๅถๅฐ่พๅบ.ๅ่ก็ปๅบ่ฟnๅคฉไธญ๏ผ้็ไบบๆไปๅบ็้ฑๅๅฏ็ฟๆไปๅบ็้ฑ.่พๅบ่ๅผๅฐๆฐ้จๅ,ๅๆด.
ใๆ ทไพ่พๅ
ฅใ30
ใๆ ทไพ่พๅบใ3000000
1073741823
ใๆ ทไพ่ฏดๆใไธคไบบไบคๆไบ30ๅคฉ๏ผ้็ไบบ็ปไบ... | xzl995/Python | CourseGrading/4.2.7ๆข้ฑ็ไบคๆ.py | 4.2.7ๆข้ฑ็ไบคๆ.py | py | 1,028 | python | zh | code | 3 | github-code | 36 |
238708718 | from scipy.misc import imsave, imresize
import numpy as np
from tqdm import tqdm
from LoadLightField import *
from LightFieldFunctions import *
from SaveLightField import *
from DepthFunctions import *
from scipy.interpolate import RectBivariateSpline
from tqdm import tqdm, trange
from time import time
from LightField... | davidmhart/LightFieldStyleTransfer | LightFieldStyleTransfer.py | LightFieldStyleTransfer.py | py | 2,551 | python | en | code | 4 | github-code | 36 |
40264918799 | num = (float(input()))
number = int(100 * num)
total = 0
while number != 0:
if number >= 200:
number -= 200
elif number >= 100:
number -= 100
elif number >= 50:
number -= 50
elif number >= 20:
number -= 20
elif number >= 10:
number -= 10
elif number >= 5:... | ivoivanov0830006/1.1.Python_BASIC | 5.While_loops/*05.Vending_coins.py | *05.Vending_coins.py | py | 1,197 | python | bg | code | 1 | github-code | 36 |
10115576337 | # coding: utf-8
import pickle
import argparse
if __name__ == '__main__':
with open('unsp_target_path_id.dump', 'rb') as f:
target_path_id = pickle.load(f)
with open('work/glove_index.dump', 'rb') as f:
glove_index = pickle.load(f)
with open('corpus/id_to_term.dump', 'rb') as f:
... | kwashio/filling_missing_path | unsp_data_making.py | unsp_data_making.py | py | 958 | python | en | code | 0 | github-code | 36 |
5339917183 | import numpy as np
from SMP.motion_planner.node import PriorityNode
from SMP.motion_planner.plot_config import DefaultPlotConfig
from SMP.motion_planner.search_algorithms.best_first_search import GreedyBestFirstSearch
from commonroad_route_planner.route_planner import RoutePlanner
class StudentMotionPlanner(GreedyB... | HNYao/CR | student.py | student.py | py | 4,403 | python | en | code | 0 | github-code | 36 |
10167749049 | from socket_webserver import Socketserver
import json
# Creating server instance
server = Socketserver()
# Configuring host and port
server.host = '127.0.0.1'
server.port = 8080
""" Two example functions to return response. Upper one returns simple json response and lower one returns html response
You could cre... | miikalehtonen/pywebserver | main.py | main.py | py | 963 | python | en | code | 0 | github-code | 36 |
22460150491 | import zipper
import arcpy
try:
# Inputs
shapefile = arcpy.GetParameterAsText(0)
zipfile = arcpy.GetParameterAsText(1)
mode = arcpy.GetParameterAsText(2)
shape_zipper = zipper.ShapefileZipper() # Create Class Instance
result = shape_zipper.zip_shapefile(input_shapefile=shapefile, output_zipfi... | igrasshoff/zip-shapefiles | ScriptToolZipSingleShapefile.py | ScriptToolZipSingleShapefile.py | py | 657 | python | en | code | 3 | github-code | 36 |
33513804346 | # -*- coding: utf-8 -*-
from collective.documentgenerator.helper.base import DisplayProxyObject
from collective.documentgenerator.helper.base import DocumentGenerationHelperView
from collective.eeafaceted.dashboard.testing import IntegrationTestCase
from DateTime import DateTime
from eea.facetednavigation.interfaces i... | collective/collective.eeafaceted.dashboard | src/collective/eeafaceted/dashboard/tests/test_documentgeneration.py | test_documentgeneration.py | py | 7,963 | python | en | code | 2 | github-code | 36 |
70447240745 | import os
import shutil
import subprocess
import random
import string
from cdifflib import CSequenceMatcher
from pathlib import Path
from typing import Any
from urllib.request import urlopen
import numpy as np
from rich import print as print
from shapely.geometry import MultiPolygon
from sqlalchemy import text
from sr... | goat-community/data_preparation | src/utils/utils.py | utils.py | py | 23,625 | python | en | code | 0 | github-code | 36 |
38406688388 | import pandas as pd
import matplotlib.pyplot as plt
import re # regular expression
df = pd.read_csv('./csv/Travel details dataset.csv')
# drop the rows with missing values
df = df.dropna()
# [OPTIONAL] pick country name only after the comma
df['Destination'] = df['Destination'].apply(lambda x: x.split(', ')[1] if ',... | mbenkzz/pyt11kelompok13 | functions.py | functions.py | py | 4,955 | python | en | code | 0 | github-code | 36 |
19150508999 | import tensorflow as tf
from .util.datasetUtil import dataset , filelength
from tensorflow.keras.applications import VGG16,VGG19 ,InceptionV3
from .util.Callbacks import CustomCallback
import datetime
class inference_load():
def __init__(self,params,csvPath):
print(params)
self.csvPath = './dataset... | kococo-code/Tensorflow_Automatic_Training | server/api/inference/model.py | model.py | py | 4,512 | python | en | code | 1 | github-code | 36 |
36219196616 | class Interruptor:
'''
Clase que representa un interruptor.
'''
def __init__(self,coords,tipoInterruptor,pon,quita):
'''
Constructor interruptor.
'''
self.coords = coords
self.tipoInterruptor = tipoInterruptor
self.pon = pon
self.quita = quita
... | SergioBarbero/bloxorz | ModeloMueve.py | ModeloMueve.py | py | 10,080 | python | es | code | 0 | github-code | 36 |
22439203560 | import ttkbootstrap as ttk
from ttkbootstrap.constants import *
from ttkbootstrap.dialogs import Dialog
from gui.realtime_graph import RealTimeGraph
import matplotlib.animation as animation
from gui.animation import Animation, network_traffic_in_filler, network_traffic_out_filler
from models.agents import Agent
from ... | MatheusWoeffel/TeutoMonitor | src/gui/window.py | window.py | py | 6,033 | python | en | code | 1 | github-code | 36 |
31137840419 | # ะะพั ััั ะผะพะถะฝะพ ะฟะพัะผะพััะตัั ัะตะพัะธั: https://youtu.be/vMD6-jzgDvI?t=693
# - ะะฐะฟัััะธัั ัะธะบะป ะพั 11 ะดะพ 20 ะธัะฟะพะปัะทัั for ะธ ััะฝะบัะธั range
# - ะัะฒะตััะธ ะฝะฐ ัะบัะฐะฝ ัะธัะปะฐ ะพั 14 ะดะพ 18. ะัะฟะพะปัะทะพะฒะฐัั if ะฒ ัะธะบะปะต
for i in range(14, 19):
if i >= 14 and i <= 18:
print(i)
# ะะพะด ะฝะธะถะต
# - ะัะฒะตััะธ ะฝะฐ ัะบัะฐะฝ ะฒัะต ะฑัะบะฒั ะดะพ y ะฒ ั... | vadimduzh/python-core | for-5.task.py | for-5.task.py | py | 633 | python | ru | code | 0 | github-code | 36 |
31141721992 | '''
Analyse observation basket
'''
import argparse
import joblib
import pandas as pd
import apriori
import helpers
from rules import RuleGenerator
parser = argparse.ArgumentParser(description='Convert Halias RDF dataset for data mining')
parser.add_argument('minsup', help='Minimum support', nargs='?', type=float, de... | razz0/DataMiningProject | src/observation_basket_analysis.py | observation_basket_analysis.py | py | 1,225 | python | en | code | 0 | github-code | 36 |
5066258041 | import math
import numpy as np
from queue import Queue, PriorityQueue
import time
import networkx as nx
import pymysql
def read_file(edges, degree, g_dict, connected_fields):
w = []
edge = {}
visit = {}
cnt = 1
sum = 0
n = 0
m = 0
for item in edges:
a = ite... | ryy980622/Hi-PART | src/graph_augmentation.py | graph_augmentation.py | py | 22,560 | python | en | code | 0 | github-code | 36 |
41270728697 | #!/usr/bin/env python
# encoding: utf-8
# 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:
"""
use queue to implement BFS, needs to record level(ๅนฟๅบฆไผ... | HugoNgai/Leetcode | Code/binary_tree_level_order_traversal_II.py | binary_tree_level_order_traversal_II.py | py | 1,890 | python | en | code | 0 | github-code | 36 |
7256329607 | import random
import sys
from tkinter.messagebox import QUESTION
import inquirer
words = open("words.txt", "r")
words_two = words.read()
word_bank = words_two.split()
hell = []
str = ' '
WRONG = []
past_guesses = []
difficulty = [
inquirer.List('mode',
message = "Choose Your Difficulty",
choices = ['Hell',... | Momentum-Team-13/python-mystery-word-samrespass | mystery_word.py | mystery_word.py | py | 3,941 | python | en | code | 0 | github-code | 36 |
39877228092 | import datetime
import os
import win32com.client
###### O Path nao pode conter acentuacao ou cedilha
path = ''
###### Caso queira salvar em uma das pastas do usuario logado como desktop, documentos etc...
# path = os.path.expanduser('~/Desktop/arquivos')
################################
outlook = win32com.client.... | guimedeiross/move-attachments-outlook | mover.py | mover.py | py | 1,220 | python | en | code | 0 | github-code | 36 |
9315048543 | import os
import sys
from math import exp, log, sqrt
from iris_validation import clipper
from iris_validation.utils import ATOMIC_NUMBERS, MC_ATOM_NAMES, norm_cdf
class ReflectionsHandler(object):
def __init__(self, f_reflections=None, xmap=None, minimol=None):
self.f_reflections = f_reflections
... | wrochira/iris-validation | iris_validation/metrics/reflections.py | reflections.py | py | 6,726 | python | en | code | 1 | github-code | 36 |
34228583172 | # -*- coding: utf-8 -*-
""" Application Factory
This is the entry point to the entire application.
"""
import os
import json
from flask import Flask, render_template, jsonify, flash, redirect, url_for
def create_app(test_config=None):
"""Create an instance of Wallowa Wildlife Checklists"""
app = Flask(__nam... | wicker/Wallowa-Wildlife-Checklist-App | wallowawildlife/__init__.py | __init__.py | py | 4,136 | python | en | code | 1 | github-code | 36 |
16921327452 | #!/usr/bin/env python3
"""
Advent of Code 2022 - Elf Rucksack Reorganization
A given rucksack always has the same number of items in each of its two compartments
Lowercase item types a through z have priorities 1 through 26.
Uppercase item types A through Z have priorities 27 through 52.
Find the item type that appe... | CristiGuijarro/NN-aoc-2022 | scripts/elf_rucksack_priorities.py | elf_rucksack_priorities.py | py | 3,390 | python | en | code | 0 | github-code | 36 |
4822893898 | import base64
import sys
from github import Github
ACCESS_TOKEN = ''
REPO_NAME = ''
ACCESS_TOKEN = sys.argv[1]
REPO_NAME = sys.argv[2]
g = Github(ACCESS_TOKEN)
repo = g.get_repo(REPO_NAME)
contents = repo.get_contents("/README.md")
contents_bkp = repo.get_contents("/docs/README.md")
base = contents.content
base = b... | BobAnkh/LinuxBeginner | scripts/sync.py | sync.py | py | 697 | python | en | code | 6 | github-code | 36 |
19852300497 | import sys
from faucetpay import faucetpay
sys.path.append("./dbfolder")
from mysqlfunc import mysqldb
faucet=faucetpay()
class payuser:
def sendreward(campaignid,userid):
get_user_email=mysqldb().get_user_Wallet(userid)
ref=mysqldb().get_user_ref(userid)
get_user_referral=mysqldb().get_u... | developermano/clickbot | payment/pay.py | pay.py | py | 1,086 | python | en | code | 0 | github-code | 36 |
8403757246 | from math import sqrt
import sys
def Input(line):
is_error = True
while is_error:
is_error = False
try:
coeff = int(line)
except ValueError:
try:
coeff = float(line)
except ValueError:
is_error = True
li... | MEHT9IPA/Labs_web | Lab_1/Lab_1.py | Lab_1.py | py | 3,397 | python | ru | code | 0 | github-code | 36 |
73604408105 | import sys
import os
import re
from dijkstra import calculate_path
# MAPA:
'''
Consiste de dos conjuntos <E,C>. E es un conjunto de esquinas {e1,e2,e3, โฆ.} y C las calles que conectan dichas esquinas.
C es un conjunto de ternas ordenadas {<e1,e2,c>,<e3,e4,c>, <e2,e1,c>} que expresa la direcciรณn y el largo de las calle... | gabriags/project_AyEDII | code-uber/service.py | service.py | py | 13,703 | python | en | code | 0 | github-code | 36 |
26409439119 |
class Solution:
def topKFrequent(self, words: List[str], k: int) -> List[str]:
dict = {}
res = []
lista = []
#ๅๅ๏ผ่ฟไธชๆฏๆ่ชๅทฑๅ็hash table่ฎก็ฎๅ่ฏๅบ็ฐ็้ข็ ็้ผๅง
#ไฝๆฏๆง่ฝๆฒกไธ้ข็ๅฅฝๅปๅป
'''
for i in words:
dict[i]=len([x for x in words if x == i])
'''
... | lpjjj1222/leetcode-notebook | 692. Top K Frequent Words.py | 692. Top K Frequent Words.py | py | 1,460 | python | zh | code | 0 | github-code | 36 |
41571056432 | import lightgbm as lgb
from sklearn.linear_model import LogisticRegression
import pandas as pd
import numpy as np
#่ฏปๅๆฐๆฎ
file_dir='E:\\GDBT_LR\\loan\\'
train_data='gbdt_train.csv'
test_data='gdbt_test.csv'
train=pd.read_csv(file_dir+train_data)
test=pd.read_csv(file_dir+test_data)
#ๅ ้คๆ ็จๅๆฐ
del train['Unnamed: 0']
del te... | hu-minghao/my_program | ่ดทๆฌพ่ฟ็บฆ้ขๆต/LGB_LR.py | LGB_LR.py | py | 3,631 | python | en | code | 0 | github-code | 36 |
70806964903 | import sys
from math import log2, ceil
sys.stdin = open('input.txt')
def make_linked(node, left, right): # ๋ฐฐ์ด์ ์ซ์๊ฐ ์ธ๊ทธ๋จผํธ ํธ๋ฆฌ์ ์ด๋ ์ธ๋ฑ์ค์ ์ ์ฅ๋์๋์ง ์๊ธฐ ์ํจ
if left >= right:
linked[left] = node # ๋ฆฌํ๋
ธ๋์ธ ๊ฒฝ์ฐ ๋ฐฐ์ด์ ์ ์ฅ
return
make_linked(node*2, left, (left+right)... | unho-lee/TIL | CodeTest/Python/BaekJoon/2268.py | 2268.py | py | 2,569 | python | ko | code | 0 | github-code | 36 |
34627321771 | from pathlib import Path
import os
import datetime
import json
import h5py
import numpy as np
import pandas as pd
import click
import tensorflow as tf
from src.data.tf_data_hdf5 import get_tf_data, RandomStandardization
from src.models.models import unet_model, unetclassif_model
from src.models.losses import CustomLo... | voreille/plc_segmentation | src/models/train_model.py | train_model.py | py | 9,009 | python | en | code | 0 | github-code | 36 |
37039563232 | from django.contrib.gis.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.encoding import smart_str
from django.utils.translation import gettext_lazy as _
# Create your models here.
class Country(models.Model):
"""Class for country info"""
name = models.CharField(max_leng... | EUROMAMMALS/website | core/models.py | models.py | py | 4,541 | python | en | code | 0 | github-code | 36 |
24454040368 | import time
from tqdm.auto import tqdm
def show_info_me():
""" ะะพะบะฐะทัะฒะฐะตั ะธะฝัะพ ะพ ะบะพะปะปะตะณะต """
about_me = {
'ะคะะ': 'ะะตะฒัะตะฝะบะพ ะะปะตะบัะตะน',
'ะะพะปะถะฝะพััั': 'ะะตะดััะธะน ะธััะปะตะดะพะฒะฐัะตะปั ะดะฐะฝะฝัั
',
'ะะปะพะบ': 'ะขะตั
ะฝะพะปะพะณะธะธ',
'ะะตะปะฐั': 'ัะตะบะพะผะตะฝะดะฐัะตะปัะฝัะต ัะธััะตะผั ะฒ HR',
}
for k, v in about_me.ite... | kcundel/python_da_course | Lesson1/about.py | about.py | py | 5,203 | python | ru | code | 0 | github-code | 36 |
27006538329 | """Pytest fixtures for huesensors tests."""
from copy import deepcopy
from unittest.mock import MagicMock, patch
import pytest
from aiohue import Bridge
from aiohue.sensors import GenericSensor
from homeassistant.components.hue import DOMAIN as HUE_DOMAIN
from homeassistant.components.hue import HueBridge
from homeass... | robmarkcole/Hue-sensors-HASS | tests/conftest.py | conftest.py | py | 3,842 | python | en | code | 346 | github-code | 36 |
8540293674 | import sys
result = {'C':0,'H':0,'O':0}
eachCnt = []
chemical = sys.stdin.readline().rstrip()
M = chemical.replace('+', ' ').replace('=',' ').split(' ') # ์ผ๋จ ๋ถํดํ๊ณ ๋ณด์
def solve():
global eachCnt
word = ['C','H','O']
for i in range(1,11):
for j in range(1,11):
for k in range(1,11):
... | namhyo01/algo_python | 1907.py | 1907.py | py | 1,212 | python | en | code | 0 | github-code | 36 |
28919190196 | from PIL import Image
import glob
import random
import os
from collections import defaultdict
#################################
test_percentage = 0.20
def partitionRankings(rawRatings, testPercent):
# https://stackoverflow.com/questions/23299099/trying-to-split-list-by-percentage
howManyNumbers = int(round(t... | melissadale/YouTubeTutorials | TF-Records/DivideData.py | DivideData.py | py | 2,165 | python | en | code | 1 | github-code | 36 |
21120525047 | # coding: utf-8
import torch
import sys
from torch import nn
from TTS.utils.text.symbols import symbols
from TTS.layers.tacotron import Prenet, Encoder, Decoder, PostCBHG
class Tacotron(nn.Module):
def __init__(self,
embedding_dim=256,
linear_dim=1025,
mel_dim=80... | JRC1995/Chatbot | TTS/models/tacotron.py | tacotron.py | py | 1,644 | python | en | code | 79 | github-code | 36 |
26620703554 | import matplotlib.pyplot as plt
from matplotlib import style
import matplotlib.dates as mdates
import mpl_finance as mpl
from tkinter import *
from yahoo_fin.stock_info import get_data
import pandas as pd
import plotly.graph_objects as go
class AutoPlot:
def __init__(self):
master = Tk()
Label(mas... | MihaiGroza/Automated-Candlestick-Chart-Plot | CandleStick_Chart_Building.py | CandleStick_Chart_Building.py | py | 1,397 | python | en | code | 0 | github-code | 36 |
24842877273 | # -*- coding: utf-8 -*-
from os import path
import os
from wordcloud import WordCloud, STOPWORDS
import requests
import matplotlib.pyplot as plt
# from scipy.misc import imread
import numpy as np
from PIL import Image
import jieba
import jieba.posseg as pseg
import jieba.analyse
def makeCiyun(file_name):
d = path... | Montage-LSM/ciyun | index_jieba.py | index_jieba.py | py | 2,267 | python | en | code | 0 | github-code | 36 |
5657068183 | import json
import os
import requests
from utils import is_snapshot_week, get_dependency_version, get_latest_tag, get_snapshot_branch, \
get_dependency_version_from_tags
github_token = os.getenv("GITHUB_TOKEN")
headers = {"Authorization": "Bearer " + github_token}
def build_message():
message = '@navigatio... | mapbox/mapbox-navigation-ios | scripts/snapshot/pre-snapshot-check.py | pre-snapshot-check.py | py | 2,170 | python | en | code | 821 | github-code | 36 |
39127008451 | # the question link https://codingcompetitions.withgoogle.com/kickstart/round/000000000019ffc8/00000000002d82e6
T = int(input())#input of number of test cases
for x in range(1, T + 1):
n=int(input())#no of entries
s = str(input())#input of entries
c=0
tnop = list(s.split(" "))#conversion of entries to ... | NIKHILDUGAR/googlekickstartpy | 2020bBikeTour.py | 2020bBikeTour.py | py | 548 | python | en | code | 4 | github-code | 36 |
12087063894 | import os
import json
import argparse
from multiprocessing import Pool
import string
import shutil
# external libraries
from numpy import argmax
from rouge import Rouge
from tqdm import tqdm
def ROUGE(hypsumm, refsumm):
rouge = Rouge()
rouge.metrics = ['rouge-2']
rouge.stats = ['r']
... | Law-AI/summarization | extractive/abs_to_ext/extractive_labels.py | extractive_labels.py | py | 9,688 | python | en | code | 139 | github-code | 36 |
43300686084 |
# XXX there is much grot here.
# some of this comes from trying to present a reasonably intuitive and
# useful interface, which implies a certain amount of DWIMmery.
# things surely still could be more transparent.
class FormException(Exception):
pass
class Instruction(object):
def __init__(self, fields):
... | mozillazg/pypy | rpython/jit/backend/ppc/form.py | form.py | py | 6,650 | python | en | code | 430 | github-code | 36 |
74791355622 | import constant
from loguru import logger
from managers import AudioManager
from threading import Event, Thread
class Autonomous(object):
def __init__(self, audio_manager: AudioManager):
self.audio_manager = audio_manager
self.event: Event = Event()
self.event.set()
self.thread: ... | dezil/R2 | autonomous.py | autonomous.py | py | 1,035 | python | en | code | 1 | github-code | 36 |
8522405005 | import unittest
from BaseTestCases.BaseTestCase import BaseTestCase, os
from Pages.Deployment_Group import DG_Create
from Pages.LoginPage import LoginPage
from DataSource.read_excel import read_excel
from time import sleep
from ddt import ddt,data,unpack
@ddt
class test_DG_Create (BaseTestCase):
@data(*read_exce... | EFarag/ACE_Project | TestCases/test_DG_Valid_create.py | test_DG_Valid_create.py | py | 1,130 | python | en | code | 0 | github-code | 36 |
34341861666 |
#m7homework7b-SetsDictionaries_2
# Pickled Vegetables
import pickle
def pickled_vege():
pickvege = {'tomato' : '5.00', 'squash' : '2.34'}
print(pickvege)
c = pickvege['tomato'] # print value
print(c)
pickvege['lemon'] = '.25' # add
print(pickvege)
del pickvege['toma... | chnldnh/CMPR114_Python | Module7/Module7_HW/m7hw7b_setsDictionaries_2.py | m7hw7b_setsDictionaries_2.py | py | 773 | python | en | code | 0 | github-code | 36 |
70774463784 | from artist_data import ArtistData
import numpy as np
import igraph
class Network:
def __init__(self, data):
self._data = data
self._graph = igraph.Graph()
def graph(self):
return self._graph
def init(self):
self._graph.add_vertices(list(self._data.artists.keys()))
... | jakubsob/SpotifyArtistsNetwork | network.py | network.py | py | 2,904 | python | en | code | 0 | github-code | 36 |
33646432106 | import asyncio
import threading
import time
import speech_recognition as sr
r = sr.Recognizer()
# def do(audio):
def srcVoice(n, audio):
for i in range(n, 0, -1):
print('sssssss')
# threading.Thread(target=r.recognize_google, args=(audio))
words = r.recognize_google(audio)
print(... | giribabu22/assistant-Nikki-python | thread_voice_src/script.py | script.py | py | 770 | python | en | code | 4 | github-code | 36 |
10625869502 | from typing import List
from eth_vertigo.incremental.store import MutationRecord, IncrementalMutationStore
from eth_vertigo.core import Mutation
class IncrementalRecorder:
def record(self, mutations: List[Mutation]) -> IncrementalMutationStore:
store = IncrementalMutationStore()
store.known_mutat... | JoranHonig/vertigo | eth_vertigo/incremental/record.py | record.py | py | 958 | python | en | code | 180 | github-code | 36 |
2671254266 | from typing import TypeAlias, Union
from const import MAX_SLOT_NUM, DiffusionSVCInferenceType, EnumInferenceTypes, EmbedderType, VoiceChangerType
from dataclasses import dataclass, asdict, field
import os
import json
@dataclass
class ModelSlot:
slotIndex: int = -1
voiceChangerType: VoiceChangerType | None =... | w-okada/voice-changer | server/data/ModelSlot.py | ModelSlot.py | py | 6,366 | python | en | code | 12,673 | github-code | 36 |
24844526241 | from django.contrib import admin
from .models import PrivateChat, Message
# Register your models here.
@admin.register(PrivateChat)
class PrivateChatAdmin(admin.ModelAdmin):
"""Filters, displays and search for django admin"""
list_filter = ('user1', 'user2', )
list_display = ('user1', 'user2')
search_f... | lexach91/DateLoc | chat/admin.py | admin.py | py | 605 | python | en | code | 1 | github-code | 36 |
2280932575 | """
ะะพะผะฐัะฝะตะต ะทะฐะดะฐะฝะธะต.
ะะฒะพะด ั ะบะปะฐะฒะธะฐัััั. ะัะปะธ ัััะพะบะฐ ะฒะฒะตะดัะฝะฝะฐั ั ะบะปะฐะฒะธะฐัััั - ััะพ ัะธัะปะพ, ัะพ ะฟะพะดะตะปะธัั ะฟะตัะฒะพะต ะฝะฐ ะฒัะพัะพะต.
ะะฑัะฐะฑะพัะฐัั ะพัะธะฑะบั ะดะตะปะตะฝะธั ะฝะฐ ะฝะพะปั.
ะัะปะธ ะฒัะพัะพะต ัะธัะปะพ 0, ัะพ ะฟัะพะณัะฐะผะผะฐ ะทะฐะฟัะฐัะธะฒะฐะตั ะฒะฒะพะด ัะธัะตะป ะทะฐะฝะพะฒะพ.
ะขะฐะบะถะต ะตัะปะธ ะฑัะปะธ ะฒะฒะตะดะตะฝั ะฑัะบะฒั, ัะพ ะพะฑัะฐะฑะพัะฐัั ะธัะบะปััะตะฝะธะต.
"""
def input_number(): # ะะฑััะฒะปัะตะผ ัั... | OlegPodg/Python_lesson | Podgornyj_104_lesson14.py | Podgornyj_104_lesson14.py | py | 1,827 | python | ru | code | 0 | github-code | 36 |
19868628701 | from ducktape.services.background_thread import BackgroundThreadService
from ducktape.utils.util import wait_until
import os
import subprocess
def is_int(msg):
"""Default method used to check whether text pulled from console consumer is a message.
return int or None
"""
try:
return int(msg)
... | sundapeng/kafka | tests/kafkatest/services/console_consumer.py | console_consumer.py | py | 8,250 | python | en | code | 0 | github-code | 36 |
27653577571 | from pages.courses.register_courses_page import Register_courses_page
import unittest
import pytest
from utilities.teststatus import StatusVerify
@pytest.mark.usefixtures("oneTimeSetUp", "setUp")
class Register_course_tests(unittest.TestCase):
@pytest.fixture(autouse=True)
def classSetup(self, oneTimeSetUp):
... | akanksha2306/selenium_python_practice | tests/courses/test_register_courses.py | test_register_courses.py | py | 1,073 | python | en | code | 0 | github-code | 36 |
71591819304 | from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.permissions import IsAuthenticated
from rest_framework.authentication import TokenAuthenti... | Gabospa/Rest_Framework_API | catalog/views.py | views.py | py | 2,419 | python | en | code | 0 | github-code | 36 |
10204405519 | from flask import Flask,request,jsonify
from flask_mysqldb import MySQL
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = ''
app.config['MYSQL_DB'] = 'library'
mysql = MySQL(app)
def getQuery(sql):
cursor = mysql.connection.cursor()
... | EdgarPozas/APILibraryInFlask | app.py | app.py | py | 1,832 | python | en | code | 0 | github-code | 36 |
70913641705 | import cv2
import numpy as np
import os
import path
import face_recognition
import getopt, sys
def getOriginalData(file):
count_vertices = 0
count_faces = 0
original_coordinates = []
faces_indices = []
texture_coordinates = []
texture_indices = []
oc_file = open("Original_Vertices.txt", "w"... | liyanxiangable/3DFaceAlignment | FaceAlignment.py | FaceAlignment.py | py | 20,504 | python | en | code | 3 | github-code | 36 |
18967680389 | import tensorlayer as tl
from tensorlayer.layers import *
def vox_res_module(x, prefix, is_train=True, reuse=False):
w_init = tf.truncated_normal_initializer(stddev=0.01)
bn1 = BatchNormLayer(x, act=tf.nn.relu, is_train=is_train, name=prefix + "bn1")
conv1 = Conv3dLayer(bn1, shape=[1, 3, 3, 64, 64]... | txin96/VoxResNet | model.py | model.py | py | 4,063 | python | en | code | 16 | github-code | 36 |
37360525865 | import argparse
import glob
import json
import logging
import os
import platform
import re
import traceback
from pathlib import Path
import fitz
if platform.system() == "Windows":
logdir = Path(os.environ['USERPROFILE']) / ".pdf_guru"
else:
logdir = Path(os.environ['HOME']) / ".pdf_guru"
logdir.mkdir(parents=... | kevin2li/PDF-Guru | thirdparty/convert_external.py | convert_external.py | py | 5,838 | python | en | code | 941 | github-code | 36 |
8439340663 | # Given an array of numbers which is sorted in ascending order and is rotated โkโ times around a pivot, find โkโ.
#
# You can assume that the array does not have any duplicates.
# Input: [10, 15, 1, 3, 8]
# Output: 2
# Explanation: The array has been rotated 2 times.
def count_rotations(arr):
l, r = 0, len(arr) ... | kashyapa/coding-problems | educative.io/easy-binary-search/10_rotation_count.py | 10_rotation_count.py | py | 788 | python | en | code | 0 | github-code | 36 |
22771811138 | # -*- coding: utf-8 -*-
# This file is part of CFVVDS.
#
# CFVVDS is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# ... | swak/cardfight-vanguard-vds | printer.py | printer.py | py | 3,420 | python | en | code | 0 | github-code | 36 |
35319837996 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: mcxiaoke
# @Date: 2015-08-18 20:14:05
from __future__ import unicode_literals, division, absolute_import, print_function
import requests
import shutil
import sys
import signal
import os
import traceback
import time
import logging
import bs4
from lxml import html
... | mcxiaoke/python-labs | lib/commons.py | commons.py | py | 5,317 | python | en | code | 7 | github-code | 36 |
70858172905 | from functools import reduce, wraps
import tensorflow as tf
from tensorflow.keras.layers import Add, BatchNormalization, LeakyReLU, Conv2D, ZeroPadding2D, UpSampling2D
from tensorflow.keras.layers import Concatenate
from keras.layers.merge import add
from tensorflow.keras.regularizers import l2
L2_FACTOR = 1e-5
def ... | jmajumde/MyMScProj | jmod/onestage/yolov3/models/layers.py | layers.py | py | 6,268 | python | en | code | 2 | github-code | 36 |
7880901877 | import json
from enum import Enum
from typing import Union
from pyspark.sql import Column
import pyspark.sql.functions as F
class ModelType(Enum):
CLASSIFICATION = 1
REGRESSION = 2
class _Singleton(type):
""" A metaclass that creates a Singleton base class when called. """
_instances = {}
def ... | maxpumperla/elephas | elephas/utils/model_utils.py | model_utils.py | py | 2,344 | python | en | code | 1,568 | github-code | 36 |
28408907957 | from source.hh_api.headhunter_api import HHApi
from source.jsonhandler.jsonhandler import JSONHandler
from source.sj_api.superjob_api import SJApi
from source.vacancies.vacancy import Vacancy
def search_vacancies():
keywords = input('ะะฒะตะดะธัะต ะฟะพะธัะบะพะฒะพะน ะทะฐะฟัะพั: \n')
hh = HHApi(keywords)
sj = SJApi(keywords)... | Memorizu/Job_Parser_upd | main.py | main.py | py | 1,778 | python | en | code | 0 | github-code | 36 |
30111928056 | def ex1(n):
return [[el for el in range(1, n + 1)]] * n
def ex2(matrix):
return [el[::-1] for el in matrix]
def ex3(m1, m2):
try:
return [[min(m1[i][j], m2[i][j]) for j in range(max(len(m1[i]), len(m2[i])))] for i in range(max(len(m1), len(m2)))]
except IndexError:
raise IndexError("... | daneel95/Master_Homework | FirstYear/NLP/Lab2/Tema/ex9.py | ex9.py | py | 1,268 | python | en | code | 0 | github-code | 36 |
27574816900 | n = int(input())
a = [int(i) for i in input().split()]
a.sort()
res = 1
for i in a:
if i > res:
break
elif i == res:
res += 1
print(res)
| Kinhs/Python-PTIT | PY02018 - Sแป nhแป nhแบฅt cรฒn thiแบฟu.py | PY02018 - Sแป nhแป nhแบฅt cรฒn thiแบฟu.py | py | 161 | python | en | code | 0 | github-code | 36 |
37339853215 | from collections import deque
infinity = float("inf")
def make_graph():
# identical graph as the YouTube video: https://youtu.be/Tl90tNtKvxs
return [
[0, 10, 0, 10, 0, 0],
[0, 0, 4, 2, 8, 0],
[0, 0, 0, 0, 0, 10],
[0, 0, 0, 0, 9, 0],
[0, 0, 6, 0, 0, 1... | msambol/dsa | maximum_flow/ford_fulkerson.py | ford_fulkerson.py | py | 1,683 | python | en | code | 211 | github-code | 36 |
10829429705 | #!/usr/bin/env python
import os, sys, pkg_resources
import json
from collections import namedtuple
from functools import partial
import html5lib
from ..vendor.pluginbase.pluginbase import PluginBase
Key = namedtuple("Key", ["name","version"])
__all__ = ['plugins_get_mgr', 'plugins_load',
'plugins_show', '... | pingali/dgit | dgitcore/plugins/common.py | common.py | py | 7,921 | python | en | code | 15 | github-code | 36 |
11712750390 | import pyautogui
import pyperclip
import time
import schedule
# ์นด์นด์คํก์ ๋ฉ์์ง๋ฅผ ๋ณด๋ด๋ ์ฝ๋๋ฅผ send_message ํจ์๋ก ์์ฑ
def send_message():
threading.Timer(10, send_message).start()
# KakaoPicture1.png ํ์ผ๊ณผ ๋์ผํ ๊ทธ๋ฆผ์ ์ฐพ์ ์ขํ ์ถ๋ ฅ
picPosition = pyautogui.locateOnScreen(r'11. PC_Kakao_Talk_Automation_Using_Automouse\KakaoPictu... | WoojinJeonkr/Python-and-40-works-to-learn-while-making | 11. PC_Kakao_Talk_Automation_Using_Automouse/ScheduleRunAutomationKakaoTalk.py | ScheduleRunAutomationKakaoTalk.py | py | 1,883 | python | ko | code | 1 | github-code | 36 |
74579426342 | #generali
from django.views.generic import ListView
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponse
from django.template import loader
from django.db.models import Count
from django.contrib import messages
from django.contrib.auth import get_user_model
from dj... | gitsh1t/vetrina_test | landing_page/views.py | views.py | py | 12,116 | python | en | code | 0 | github-code | 36 |
72000657063 | # -*- coding: utf-8 -*-
# French language sounds configuration
from tts import filename, NO_ALTERNATE, PROMPT_SYSTEM_BASE, PROMPT_CUSTOM_BASE
systemSounds = []
sounds = []
for i in range(100):
systemSounds.append((str(i), filename(PROMPT_SYSTEM_BASE + i)))
for i in range(10):
systemSounds.append((str(100 *... | Ingwie/NextStepRc-2.18 | radio/util/tts_fr.py | tts_fr.py | py | 4,215 | python | en | code | 14 | github-code | 36 |
497207117 | import abc
import six
from dagster_spark.configs_spark import spark_config
from dagster_spark.utils import flatten_dict
from pyspark.sql import SparkSession
from dagster import Field, check, resource
def spark_session_from_config(spark_conf=None):
spark_conf = check.opt_dict_param(spark_conf, 'spark_conf')
... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-pyspark/dagster_pyspark/resources.py | resources.py | py | 1,647 | python | en | code | 2 | github-code | 36 |
34447008316 | """
TITLE: Set.add()
INPUT:
7
UK
China
USA
France
New Zealand
UK
France
OUTPUT:
5
"""
n = int(input())
myset = set()
for _ in range(n):
myset.add(input())
print(len(myset))
| bakliwalvaibhav1/Python-HackerRank | 04) Sets/set_add.py | set_add.py | py | 182 | python | en | code | 1 | github-code | 36 |
4738433123 | from operator import attrgetter
from django.contrib.auth import get_user_model
from django.db.models import (
CASCADE, SET_NULL, BooleanField, CharField, CheckConstraint, DateTimeField,
F, ForeignKey, IntegerChoices, IntegerField, JSONField, ManyToManyField,
Model, Q, SlugField, TextField, UniqueConstraint... | x-yzt/mixtures | drugcombinator/models.py | models.py | py | 12,000 | python | en | code | 7 | github-code | 36 |
20884673923 | #Start with an empty list and add in each new input (check if the data is valid)
my_list = []
total = 0
for i in range(7):
while True:
day_sales = input(f"Sales for day {i+1}: ")
if day_sales.isdigit():
days_sales = int(day_sales)
if days_sales >= 0:
my_list.a... | Chenxinnnn/Chenxin-Undergrad-CS002 | HW 8/GuChenxin_assign8_part0.py | GuChenxin_assign8_part0.py | py | 803 | python | en | code | 0 | github-code | 36 |
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