seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
23511005935 | class Node:
def __init__(self, data):
self.data = data
self.next_node = None
def __str__(self):
return self.data.__str__() if self.data is not None else 'None'
class LinkedList:
def __init__(self):
self.head = None
def add(self, data):
if self.head is None:
... | YunTaoYoung/AlgorithmPractise | Python/LinkedList/linked_list.py | linked_list.py | py | 6,323 | python | en | code | 0 | github-code | 90 |
73792445095 | from django.db import models
from django.dispatch import receiver
from django.db.models.signals import post_save
from home.models import User
class ReaderTicket(models.Model):
"""Модель читательского билета."""
user = models.OneToOneField(User, on_delete=models.CASCADE)
@receiver(post_save, sender=User)... | alexmon1989/libraries_portal | reader_cabinet/models.py | models.py | py | 855 | python | en | code | 0 | github-code | 90 |
24397256030 | import tensorflow as tf
from networks.backbone.ConvNeXt.convnext import create_model
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.cifar10.load_data()
x_train = x_train.astype('float32') / 255
x_test = x_test.astype('float32') / 255
model = create_model(model_name='convnext_tiny_224', input_shape=(32, 32)... | Yuri-Su/Baseline | models/backbone/ConvNeXt/test.py | test.py | py | 653 | python | en | code | 1 | github-code | 90 |
14705347428 | import jax
from jax import numpy as jnp, random
import flax.linen as nn
import gymnasium as gym
from typing import Any
from typing_extensions import TypedDict
from .types import Metrics
Params = TypedDict("Params", {
'discount': float,
'actor_learning_rate': float,
'critic_learning_rate': float,
'actor... | gabe00122/custom-rl-practice | custom_rl_jax/policy_gradient/actor_critic.py | actor_critic.py | py | 3,966 | python | en | code | 0 | github-code | 90 |
25754081192 | import argparse
import os
import pickle
from collections import namedtuple
import numpy as np
import scipy.io as sio
import torch
import torchvision.transforms.functional as F
from PIL import Image
from torch.utils.data import DataLoader
from torchvision import transforms
from tqdm import tqdm
from dataset import get... | IGLICT/TM-NET | python/extract_latents_geo_only_all_parts.py | extract_latents_geo_only_all_parts.py | py | 4,156 | python | en | code | 33 | github-code | 90 |
18452740779 | N = int(input())
l = []
for i in range(N):
A, B = [int(_c) for _c in input().split(" ")]
l.append({"A": A, "B": B, "sum": A + B})
l = sorted(l, key=lambda x: x["sum"], reverse=True)
a_total = 0
b_total = 0
for i, _l in enumerate(l):
if i % 2 == 0:
a_total += _l["A"]
else:
b_total += _l... | Aasthaengg/IBMdataset | Python_codes/p03141/s392520330.py | s392520330.py | py | 351 | python | en | code | 0 | github-code | 90 |
40326666770 | from selenium import webdriver
from selenium.webdriver.common.by import By
import time
import math
try:
link = 'http://suninjuly.github.io/execute_script.html'
browser = webdriver.Chrome()
browser.get(link)
def calc(x):
return str(math.log(abs(12*math.sin(int(x)))))
x_element = browser.f... | Lastti/stepik-auto-tests-course | lesson 2/lesson2_2step_6.py | lesson2_2step_6.py | py | 981 | python | en | code | 0 | github-code | 90 |
73120664296 | # -*-coding:gbk-*-
import urlparse
import re
from bs4 import BeautifulSoup
__author__ = 'yzh'
class parse1(object):
def __init__(self):
pass
def _get_new_urls(self,page_url,soup):
new_urls=set()
links=soup.find_all('a',href=re.compile(r'/view/\d+\.htm'))
for link in links:
... | yzhihao/python_spier | parser_.py | parser_.py | py | 1,294 | python | en | code | 0 | github-code | 90 |
74690463016 | # -*- coding:utf-8 -*-
"""
在pyctp2的父目录中, 执行
python red.py pyctp2.sbin.md2 md_exec
"""
import logging
import threading
import asyncio
import json
from pydispatch import dispatcher
from autobahn.asyncio.websocket import WebSocketServerProtocol, WebSocketServerFactory
from pyctp2.common.base import INFO_PATH,D... | danielscai/pyctp2 | run.py | run.py | py | 3,815 | python | en | code | 2 | github-code | 90 |
28857894731 | from flask import Flask, request, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import *
import src.TextCommands.joke as joke
import src.TextCommands.ping as ping
import src.TextCommands.greeting as greeting
impor... | William0506/Hual_Bot | app.py | app.py | py | 4,467 | python | en | code | 1 | github-code | 90 |
18576039619 | import sys
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
in_n = lambda: int(readline())
in_nn = lambda: map(int, readline().split())
in_s = lambda: readline().rstrip().decode('utf-8')
in_nl = lambda: list(map(int, readline().split()))
in_nl2 = lambda H: [in_n... | Aasthaengg/IBMdataset | Python_codes/p03464/s231541662.py | s231541662.py | py | 941 | python | en | code | 0 | github-code | 90 |
15597564016 |
import numpy as np
import os
import pandas as pd
import math
import itertools
import shutil
class SpecCense_Construction:
def __init__(self,ordered_dicton_parameters,list_sensor_name, \
width,margin,saving_location_dict,option_remove):
self.__ordered_dicton... | Ranim-94/Stage_Cense_2020 | Code/Classes_and_Functions/Class_Data_Building.py | Class_Data_Building.py | py | 13,394 | python | en | code | 1 | github-code | 90 |
17999922319 | A, B, C = map(int, input().split())
N = A % B
M, i = 0, 2
while M != N:
M = i * N % B
if M == C:
print("YES")
break
i += 1
else:
print("NO") | Aasthaengg/IBMdataset | Python_codes/p03730/s424999004.py | s424999004.py | py | 172 | python | en | code | 0 | github-code | 90 |
31746551226 | import os, sys
import numpy as np
import torch
from torchvision import datasets, transforms
from sklearn.utils import shuffle
def get(seed=0, fixed_order=False, pc_valid=0, tasknum = 5):
if tasknum>5:
tasknum = 5
data = {}
taskcla = []
size = [1, 28, 28]
# Pre-load
# MNIST
mea... | csm9493/UCL | dataloaders/split_mnist.py | split_mnist.py | py | 2,893 | python | en | code | 32 | github-code | 90 |
21156941205 | #
# @lc app=leetcode.cn id=82 lang=python
#
# [82] 删除排序链表中的重复元素 II
#
# @lc code=start
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution(object):
def deleteDuplicates(self, head):
"""
... | paterlisia/leetcode-solution | src/Python/Linked-List/82.删除排序链表中的重复元素-ii.py | 82.删除排序链表中的重复元素-ii.py | py | 774 | python | en | code | 9 | github-code | 90 |
44112736859 | import cProfile
import io
from multiprocessing import Process
import pstats
import time
from aiokafka import AIOKafkaProducer
import asyncio
async def send_many():
text = b"1234567891" * 1000
producer = AIOKafkaProducer(
bootstrap_servers="localhost:29092",
max_batch_size=65535,
ling... | dream2333/fastspider | bench/confluent.py | confluent.py | py | 805 | python | en | code | 0 | github-code | 90 |
14159796599 | # Importing Modules
# -All Python programs can call a basic set of functions, called built-in functions
# -incl. print(), input(), len(), etc.
# -Python also comes with a set of modules called the 'standard library'
# -Each module is a Python program that contains a related group of functions that can be embedded ... | SkyCHarris/automate_python | flow_control2/importing_modules_ending_programs4.py | importing_modules_ending_programs4.py | py | 1,369 | python | en | code | 0 | github-code | 90 |
31607510585 | import datetime
from celery import shared_task
from django.conf import settings
from django.utils import timezone
from core.utils import send_html_email
from transcriber.exceptions import TranscriptionFailureException
from transcriber.models import AudioFile
from transcriber.services import AudioFileS3TranscriptionSe... | planeks/files-transcription-api | src/transcriber/tasks.py | tasks.py | py | 1,558 | python | en | code | 0 | github-code | 90 |
39407318759 |
# coding: utf-8
#
# Version info
# >>conda -V
# conda 4.3.21
# >>python --version
# Python 3.5.2 :: Anaconda custom (x86_64)
###########################
# imports
###########################
import matplotlib.pyplot as plt
import numpy as np
import sys
import pylab
# Make sure you link to these in your working direc... | wsdhrqqc/classcode | fall_2018/poleward_transport_fall2017_skeleton.py | poleward_transport_fall2017_skeleton.py | py | 3,473 | python | en | code | null | github-code | 90 |
28151301591 | import numpy, os
from typing import Tuple, List
from .c_core import CppVoxelGrid, CppMapper, AABB3, CppMeshDynTri2D
from .c_core import cppSVG_Polyline
from .c_core import TRI, QUAD, HEX, TET, LINE
from .c_core import \
meshquad3d_voxelgrid, \
meshquad3d_subdiv, \
meshhex3d_voxelgrid, \
meshhex3d_subdiv,\
m... | nobuyuki83/pydelfem2 | PyDelFEM2/msh.py | msh.py | py | 9,735 | python | en | code | 10 | github-code | 90 |
1180318027 | from .extensions import Options
from .helpers import *
from .layouts import sg, ButtonsAndStatus
def scale_frames_layout():
return [
[sg.Text('Scale an image by percent. Scale step is additive and\n'+
'is increment which each frame. If duplicate is checked,\n'+
'then... | gorenje/pclxtool | gui/func_scale_frames.py | func_scale_frames.py | py | 3,787 | python | en | code | 0 | github-code | 90 |
23815893307 | from __future__ import annotations
import sys
import typing as t
import uuid
import click
from globus_cli.parsing import ParsedIdentity
if t.TYPE_CHECKING:
import globus_sdk
from globus_cli.services.auth import CustomAuthClient
if sys.version_info >= (3, 8):
from typing import Literal
else:
from t... | globus/globus-cli | src/globus_cli/commands/group/invite/_common.py | _common.py | py | 1,847 | python | en | code | 67 | github-code | 90 |
10746452985 | import torch
from utils.iou import *
import torch.multiprocessing as mp
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
from itertools import product
import time
def eval_single_image_recall(this_true_labels,this_det_labels,true_box,true_difficultie,det_box,det_score):
#print(true_boxes[num].... | eric612/Mobilenet-YOLO-Pytorch | utils/eval_mAP.py | eval_mAP.py | py | 11,002 | python | en | code | 30 | github-code | 90 |
40953264609 | def solution(input_string):
loners = [] # 외톨이 알파벳들을 저장할 리스트
# 각 알파벳별로 등장한 부분을 기록할 딕셔너리를 초기화합니다.
positions = {}
for char in input_string:
positions[char] = []
# 문자열을 순서대로 탐색하면서, 각 알파벳이 등장한 위치를 기록합니다.
for i in range(len(input_string)):
char = input_string[i]
posit... | jino1023/Algorithm-Test | programmers/외톨이알파벳.py | 외톨이알파벳.py | py | 1,855 | python | ko | code | 0 | github-code | 90 |
41662848867 | from flask import Flask, render_template, request, jsonify
import pandas as pd
app = Flask(__name__)
# Load your recipes data
recipes_data = pd.read_csv("dataset_recipe.csv")
# Load unique ingredients from unique_incredients.csv
unique_ingredients = pd.read_csv("unique_ingredients.csv")["ingredient"].tolist()
# Rep... | G-Robocraze/cooking | app.py | app.py | py | 1,325 | python | en | code | 0 | github-code | 90 |
24369102488 | from datetime import datetime
from ncg.preprocess import build_and_save_sentence_vectors
import torch
import os
if __name__ == "__main__":
dir_in = os.path.join('data', 'flickr30k', 'captions', 'en')
fnames = [
'test_2016.1.en', 'test_2016.2.en', 'test_2016.3.en', 'test_2016.4.en', 'test_2016.5.en'
... | maartje/ImageCaptionGeneration | preprocess_test.py | preprocess_test.py | py | 704 | python | en | code | 0 | github-code | 90 |
32282894117 | import os
from typing import Dict
from typing import List
from typing import Tuple
import torch
import yaml
from torch import Tensor
import utils.constants as constants
def process_label_file(input_yaml_path: str, data_folder, train_data: bool, riib: bool = False, clip: bool = True) -> \
List[Dict]:
"""
... | Marcelo00/traffic_light_detection | utils/utils.py | utils.py | py | 7,388 | python | en | code | 0 | github-code | 90 |
71873603178 | #!/usr/bin/env python3
# Python 3.9.5
# 02_read_with_multiple_worksheets.py
# Dependencies
import os
import pandas
path = 'C:\\Users\\user\\spreadsheets' # Spreadsheets are stored within this directory
os.chdir(path)
# ============================================================================================
# A... | fenceMeshwire/python_excel | 02_read_with_multiple_worksheets.py | 02_read_with_multiple_worksheets.py | py | 1,058 | python | en | code | 1 | github-code | 90 |
71026282857 | import argparse
import logging
import os
import shlex
import subprocess
from build_migrator.builders._log_providers.console import ConsoleLogProvider
from build_migrator.builders._log_providers.strace import StraceLogProvider
from build_migrator.modules import Builder, EntryPoint
logger = logging.getLogger(__name__)... | KasperskyLab/BuildMigrator | build_migrator/builders/generic_builder.py | generic_builder.py | py | 6,441 | python | en | code | 30 | github-code | 90 |
17358693414 | from bs4 import BeautifulSoup
from common import *
res = [HEADER] # ["bridge","srcchain","srctoken","dstchain","dsttoken","srctoken_contract","dsttoken_contract","srcholder","dstholder","isopen","fee_fixed","fee_percent","fee_minfee","fee_maxfee","minamount", "liquidity", "extra"]
FOLDER = os.path.dirname(os.path.rea... | DeFiEye/BridgeEye | crosschain/layerswap.py | layerswap.py | py | 2,540 | python | en | code | 45 | github-code | 90 |
6171661372 | from typing import Optional
from pydantic import BaseModel, Field
from fastapi import FastAPI, HTTPException
import numpy as np
import re
import os
import mlflow
import pandas as pd
from mlflow.tracking import MlflowClient
from sqlalchemy import create_engine
import psycopg2
from psycopg2 import sql
app = FastAPI()
o... | yemoncada/mlops_diabetes | inference/inference.py | inference.py | py | 10,290 | python | en | code | 0 | github-code | 90 |
18315365169 | from collections import Counter,defaultdict,deque
from heapq import heappop,heappush,heapify
import sys,bisect,math,itertools,fractions,pprint
sys.setrecursionlimit(10**8)
mod = 10**9+7
INF = float('inf')
def inp(): return int(sys.stdin.readline())
def inpl(): return list(map(int, sys.stdin.readline().split()))
n,m = ... | Aasthaengg/IBMdataset | Python_codes/p02852/s188093940.py | s188093940.py | py | 570 | python | en | code | 0 | github-code | 90 |
5781062610 | class QuizBrain:
def __init__(self,q_list):
self.question_number = 0
self.question_list = q_list
self.correct_answers = 0
self.wrong_answers = 0
def next_question(self):
current_question = self.question_list[self.question_number]
self.question_number... | jcamilovallejos/bootcamp_python | intermidate_quiz_game_start/quiz_brain.py | quiz_brain.py | py | 1,027 | python | en | code | 0 | github-code | 90 |
33547828952 | from typing import cast
from pathlib import Path
from constructs import Construct
from aws_cdk import (
Stack,
CfnOutput,
Duration,
aws_lambda as _lambda,
aws_lambda_python_alpha as pylambda,
aws_apigatewayv2_alpha as apigw2,
aws_apigatewayv2_integrations_alpha as integrations,
aws_apiga... | m3sh32/pillow | service/lib/api_stack.py | api_stack.py | py | 2,154 | python | en | code | 1 | github-code | 90 |
32304118209 | #This code is taking from a specific range of columns their values, delete all n/a and null values
#and then add it to a user specify columns in excel
#But as con, the code doesnt save the formulaes in a new file
#so this should be used as a endway editing
import openpyxl
from openpyxl import Workbook
from open... | Aleksandrengineer/python_practice | xlsmodif.py | xlsmodif.py | py | 1,319 | python | en | code | 0 | github-code | 90 |
20382775351 | import pyaudio
import wave
from scipy.io import wavfile
p = pyaudio.PyAudio()
info = p.get_host_api_info_by_index(0)
numdevices = info.get('deviceCount')
for i in range(0, numdevices):
if (p.get_device_info_by_host_api_device_index(0, i).get('maxInputChannels')) > 0:
if "Umik" in p.get_device_inf... | DanielQu1108/forJaime | Scripts/record.py | record.py | py | 1,329 | python | en | code | 0 | github-code | 90 |
43125611767 | from cmath import isnan
import numpy as np
import inc.Helpers.tools as tls
import inc.coloring as clr
import inc.Helpers.display as dsp
def render_smooth(verts2d, vcolors, img):
"""Renders the image, using interpolate colors to achieve smooth color transitioning
Parameters
----------
vert... | kpetridis24/image-rendering | inc/triangle_filling.py | triangle_filling.py | py | 6,816 | python | en | code | 0 | github-code | 90 |
34356101480 | # invoer
v_stijn = int(input("snelheid van stijn: "))
v_kaat = int(input("snelheid van kaat: "))
afstand = int(input("afstand: "))
tot_afstand = 0
tijd = 0
#berekenen
while tot_afstand < afstand:
tijd += 1
tot_afstand = tot_afstand + v_kaat + v_stijn
#uitvoer
uitvoer = "Na {} s hebben Stijn en Kaat elkaar ont... | ArthurCallewaert/5WWIPython | 07b_iteraties/Fietsen.py | Fietsen.py | py | 355 | python | nl | code | 0 | github-code | 90 |
18480200299 | n, m = map(int,input().split())
numbers = [{} for _ in range(n)]
for i in range(m):
p, y = map(int,input().split())
numbers[p-1][i] = y #pで県を指定して、iで順番の情報を保つ
answers = {}
for i in range(n):
number = numbers[i]
if len(number) == 0:
continue
new_number = sorted(number.items(), key = lambda x... | Aasthaengg/IBMdataset | Python_codes/p03221/s463530649.py | s463530649.py | py | 636 | python | en | code | 0 | github-code | 90 |
70667384616 | def knapnapSacknap(W, wt, val, n):
knap = [[0 for x in range(W + 1)] for x in range(n + 1)]
for i in range(n + 1):
for w in range(W + 1):
if i == 0 or w == 0:
knap[i][w] = 0
elif wt[i-1] <= w:
knap[i][w] = max(val[i-1] + knap[i-1][w-wt[i-1... | projeto-de-algoritmos/PD_Dupla10A | list5.py | list5.py | py | 887 | python | pt | code | 0 | github-code | 90 |
1769339104 | import matplotlib.pyplot as plt, numpy as np
x = range(1, 11)
y = range(1, 11)
plt.scatter(x, y)
x1 = np.arange(-1000, 1000, 1)
plt.plot(x1, x1**2)
plt.show()
| rodrigoargondizo/SEII-RodrigoFariaArgondizo | Semana04/Exercicio03/plot0x.py | plot0x.py | py | 163 | python | en | code | 0 | github-code | 90 |
22890619304 | import os
from _operator import and_
from datetime import datetime
from fdfs_client.client import Fdfs_client
from flask import Blueprint, render_template, request, session, jsonify
# from sqlalchemy import all_
from App.models import Area, Facility, House, HouseImage
from utils import status_code
from utils.settings i... | htengteng/Ihome | ihome/App/house_views.py | house_views.py | py | 6,540 | python | en | code | 0 | github-code | 90 |
13225317498 | #!/usr/bin/env python3
#
# Bank Server application
# Jimmy da Geek
import socket
import threading
import signal
import sys
HOST = "127.0.0.1" # Standard loopback interface address (localhost)
PORT = 65432 # Port to listen on (non-privileged ports are > 1023)
ALL_ACCOUNTS = dict() # initialize an emp... | maggiehollis/ATM-Banking-Server | bank_server.py | bank_server.py | py | 10,521 | python | en | code | 0 | github-code | 90 |
38090717167 | import streamlit as st
import pandas as pd
import numpy as np
import gensim
st.title('映画レコメンド')
# 映画情報の読み込み
movies = pd.read_csv("data/movies.tsv", sep="\t")
# 学習済みのitem2vecモデルの読み込み
model = gensim.models.word2vec.Word2Vec.load("data/item2vec.model")
# 映画IDとタイトルを辞書型に変換
movie_titles = movies["title"].tolist()
movie_i... | yamazakihironori/movie_recommender_hy | app.py | app.py | py | 3,832 | python | en | code | 0 | github-code | 90 |
18399059139 | import sys
import math
from collections import defaultdict
sys.setrecursionlimit(10**7)
def input():
return sys.stdin.readline()[:-1]
mod = 10**9 + 7
def I(): return int(input())
def II(): return map(int, input().split())
def III(): return list(map(int, input().split()))
def Line(N,num):
if N<=0:
for... | Aasthaengg/IBMdataset | Python_codes/p03033/s882967802.py | s882967802.py | py | 1,083 | python | en | code | 0 | github-code | 90 |
11961762706 | #!/usr/bin/python
import time
import RPi.GPIO as io
io.setmode(io.BCM)
led = 19
lane1 = 24
lane2 = 25
lane3 = 26
io.setup(led, io.OUT)
io.setup(lane1, io.IN, pull_up_down=io.PUD_UP)
io.setup(lane2, io.IN, pull_up_down=io.PUD_UP)
io.setup(lane3, io.IN, pull_up_down=io.PUD_UP)
io.output(led, io.LOW)
while True:
... | wcameronbowen/pinewood-derby | sensor-test.py | sensor-test.py | py | 561 | python | en | code | 0 | github-code | 90 |
24039564042 | # caesar cipher program
# enter messag and step and receive encoded or decoded message
uppercases = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q',
'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
lowercases = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', '... | floor3d/software-projects | caesar-cipher/caesar.py | caesar.py | py | 1,091 | python | en | code | 0 | github-code | 90 |
17650268045 | from cgitb import reset
import sys
import tkinter as tk
from tkinter import *
from tkinter.font import Font
from traceback import print_tb
from board import Board, read_board_from_file, popupmsg
from boat import Boat
import numpy as np
import graphics
from setuptools import Command
def rules():
text = """Battle... | IviIvanova18/Battleship | Graphics/graphics.py | graphics.py | py | 7,014 | python | en | code | 2 | github-code | 90 |
73551176615 | print('---Welcom to Babs Calculator---')
while True:
print('''
~press 1 for addition
~press 2 for substraction
~press 3 for multiplication
~press 4 for division
~press 0 for quit''')
choice=int(input('Choose your option: '))
if choice==1:
num1=input('Enter first number: ')
num2=input('Enter sec... | bhavanatheruvath/Babs-Calculator | mycalcu.py | mycalcu.py | py | 1,369 | python | en | code | 0 | github-code | 90 |
3485725884 | g = lambda x : 2 * x + 1
print (g(5))
h = lambda x , y : x + y
print (h(5,6))
list(filter(None, [1, 0, False, True])) #过滤False的数
def odd(x):
return x % 2
temp = range(10)
show=filter(odd, temp)
print (list(show))
show=list(filter(lambda x: x % 2 ,range(10))) #将range里的值带入前边的函数，并筛选出结果为True的range
print (show)
show=li... | MuYi0420/newstudy | python/lambda.py | lambda.py | py | 457 | python | zh | code | 0 | github-code | 90 |
23467691482 | from tltk import nlp
import tltk
import codecs
def run(sen):
test=sen#ประโยคที่ใช้ทดสอบ
test=tltk.nlp.word_segment(test)#ตัดคำ
test=test.replace("<s/>","")#เอา</s>ออกจากประโยค
result = sentolist(test)
return result
#ทำให้ประโยคจากการตัดคำกลายเป็นlist
def sentolist(test):
stat=0
end=... | darthice/thainer | ngram.py | ngram.py | py | 2,950 | python | th | code | 0 | github-code | 90 |
18261204709 | import numpy as np
a = [list(map(int, input().split())) for _ in range(3)]
n = int(input())
b = [int(input()) for i in range(n)]
for i in range(3):
for j in range(3):
for k in range(n):
if a[i][j] == b[k]:
a[i][j] = 0
c = []
c.append(np.sum(a,axis = 0))
c.append(np.sum(a,axis = ... | Aasthaengg/IBMdataset | Python_codes/p02760/s062510441.py | s062510441.py | py | 519 | python | en | code | 0 | github-code | 90 |
73276530855 | """
AWS DeepRacer reward function
"""
import math
# Constants
DEBUG_LOG_ENABLED = True
# Action space constants
MAX_SPEED = 8.0
MAX_STEERING_ANGLE = 30.0
# TUNING: Adjust these to find tune factors affect on reward
#
# Reward weights, always 0..1. These are relative to one another
SPEED_FACTOR_WEIGHT = 1.0
WHEEL_FA... | cdthompson/deepracer-training-2019 | models/sep/iota/reward.py | reward.py | py | 9,929 | python | en | code | 42 | github-code | 90 |
4346485533 | import numpy as np
from keras import optimizers
import vggmodel
from tensorflow.keras.preprocessing import image as image_utils
from tensorflow.keras.models import load_model
import h5py
from keras.models import load_model
import cv2
# 15 is Next
# 16 is Previous
# 17 is start
# 18 is stop
# class_names=["Stop navigat... | bismabatool/Visual-Speaker | lipreading/predict.py | predict.py | py | 2,228 | python | en | code | 0 | github-code | 90 |
13590358498 | import torch
from torch_geometric.transforms import Distance
from torch_geometric.data import Data
def test_distance():
assert Distance().__repr__() == 'Distance(norm=True, max_value=None)'
pos = torch.tensor([[-1, 0], [0, 0], [2, 0]], dtype=torch.float)
edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2,... | Cyanogenoid/fspool | graphs/test/transforms/test_distance.py | test_distance.py | py | 867 | python | en | code | 44 | github-code | 90 |
8417668797 | from threading import Thread, Lock
from simplespider.utils import singleton
from time import ctime, sleep
def lock(lock_obj):
def decorator(f):
def inner(*args, **kwargs):
try:
lock_obj.acquire()
return f(*args, **kwargs)
finally:
loc... | lingweimin/SimpleSpider | simplespider/threadpool.py | threadpool.py | py | 3,900 | python | en | code | 0 | github-code | 90 |
70458448938 | import json
import os
import requests
import unittest
import core
import extensions.mangadex.account as account
import extensions.mangadex.ext as mangadexExt
from models import Chapter, Manga, Tag, SearchResult, ParseResult
# testing methods defined in Mangadex class
class TestExtension(unittest.TestCase):
# va... | Benjababe/GenericMangoDownloader | tests/test_mangadex.py | test_mangadex.py | py | 7,265 | python | en | code | 2 | github-code | 90 |
4175385469 | class Solution(object):
def maxProfit(self, k, prices):
"""
:type k: int
:type prices: List[int]
:rtype: int
"""
if k == 0 or len(prices) < 2:
return 0
if k >= len(prices) // 2:
result = 0
for i in range(1, len(pric... | HopeCheung/Programing-materials | leetcode/leetcode188(sell stock).py | leetcode188(sell stock).py | py | 1,022 | python | en | code | 0 | github-code | 90 |
35960767100 | from Service import Service
from CommonStrings import ApacheProjectsData, ClusterSise
from Log.Logger import LoggerInstance
def handle_page_repositories(repositories_list, s, log):
r"""This function get a list of repositories data, save it, and extract and save the topics and contributors of each
:param repos... | shaharkr/DevelopersBugsMatching | main.py | main.py | py | 2,280 | python | en | code | 0 | github-code | 90 |
18254466259 | from collections import deque
D1 = {i:chr(i+96) for i in range(1,27)}
D2 = {val:key for key,val in D1.items()}
N = int(input())
que = deque([("a",1)])
A = []
while que:
x,n = que.popleft()
if n<N:
imax = 0
for i in range(len(x)):
imax = max(imax,D2[x[i]])
for j in range(1,min... | Aasthaengg/IBMdataset | Python_codes/p02744/s764691633.py | s764691633.py | py | 468 | python | en | code | 0 | github-code | 90 |
27007893037 | # -*- coding: utf-8 -*-
from plone.app.robotframework.testing import REMOTE_LIBRARY_BUNDLE_FIXTURE
from plone.app.testing import applyProfile
from plone.app.testing import FunctionalTesting
from plone.app.testing import IntegrationTesting
from plone.app.testing import PLONE_FIXTURE
from plone.app.testing import PloneSa... | IMIO/urban.vocabulary | src/urban/vocabulary/testing.py | testing.py | py | 1,940 | python | en | code | 0 | github-code | 90 |
9001724211 | from aws_cdk import (
core,
aws_codecommit as codecommit,
aws_codebuild as codebuild,
aws_events_targets as targets,
aws_events as events,
aws_lambda as _lambda
)
from aws_cdk.aws_events import EventField
class PRConstruct(core.Construct):
def __init__(self, scope: core.Const... | quixoticmonk/PRworkflow-CDK | lib/pr_construct.py | pr_construct.py | py | 5,120 | python | en | code | 0 | github-code | 90 |
23055271595 | import os
import time
import threading
from PIL import ImageTk, Image
import tkinter as tk
from tkinter import Label, Entry, Frame
from pyPS4Controller.controller import Controller
import mount
#Global variables
USER_DIR = "/home/" + os.popen("whoami").readlines()[0].split("\n")[0] + "/" #dinamic user
ROMS_DIR = USE... | RogelioHK/equipo2-proyecto-consolaRetro-Pi | filesystem/emu.py | emu.py | py | 14,974 | python | en | code | 0 | github-code | 90 |
74213760937 | from django import forms
from .models import Testimonial
class testimonialForm(forms.ModelForm):
"""
Form to add testimonial.
"""
class Meta:
"""
Form has all required fields from Testimonial model
"""
model = Testimonial
fields = ('client_name', 'client_testimo... | Louibens/PP5-Avenue_Louise | testimonials/forms.py | forms.py | py | 354 | python | en | code | 0 | github-code | 90 |
36518062549 | def prime(x):
count=0
for i in range(1,x+1):
if x%i==0:
count+= 1
return count
t=int(input())
for i in range(t):
n=int(input())
x=m=n
while prime(n)!=2:
n += 1
y=n-m
while prime(x)!=2:
x -= 1
z=m-x
if y>z:
print(x)
elif y<z:
... | 20A91A0210/codemind-python | Nearest_Prime.py | Nearest_Prime.py | py | 416 | python | en | code | 0 | github-code | 90 |
10390595582 | from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("--source", type=str, required=True, help="where is the data scraped from, to decide which core to insert it in")
args = parser.parse_args()
if args.source == "Twitter":
import tweepy
import pandas as pd
import time
con... | rbose99/CZ4034-Information-Retrieval | data/scrape_gui.py | scrape_gui.py | py | 2,841 | python | en | code | 1 | github-code | 90 |
10402436956 | import pandas as pd
import numpy as np
import sys
cluster_file, cdc_file, hivtrace_file, patient_file, seq_file, sierra_file, recency_file, pvl_file, out_file = sys.argv[1:]
clusters = pd.read_csv(cluster_file, sep="\t", index_col="StudyID")
cdc = pd.read_csv(cdc_file, index_col="StudyID")
hivtrace = pd.read_csv... | kantorlab/hiv-real-time-phylogeny | template-phylo/reports/individual/individuals.py | individuals.py | py | 1,778 | python | en | code | 0 | github-code | 90 |
17728033101 | #! /usr/bin/python3
__author__ = "Xinyue Tan <xt2215"
__date__ = "$Sep 17, 2018"
def classify_infrequent_word_rare(word, word_set):
if word in word_set:
return word;
else:
return "_RARE_";
def classify_infrequent_word_customized(word, word_set):
if word in word_set:
return word;... | Christine-Tan/4705NLP | hw1/classify_infrequent_word.py | classify_infrequent_word.py | py | 1,997 | python | en | code | 1 | github-code | 90 |
17263723120 | from .ContentWarningTable import ContentWarningTable
from ..movies.MovieStub import MovieStub
from ..cw.ContentWarning import ContentWarning
import boto3
import os
from typing import List, Dict, Union
class MovieTable:
DYNAMO_DB_CLIENT = boto3.client("dynamodb")
MOVIES_TABLE = os.environ["MOVIES_TABLE"]
... | ContentWarnings/Backend | src/databases/MovieTable.py | MovieTable.py | py | 3,570 | python | en | code | 1 | github-code | 90 |
33466843885 | # import the finance screener
import ScreenMachine as sm
from ScreenerPath import *
# import database and parsing library
import mysql.connector
import json
# loading json MySQL configurations and database
with open("/home/richpaulyim/Documents/configs/configyf.json") as json_data:
data = json.load(json_data)
sq... | richpaulyim/Web-Briareus | Stock-Hits/ExtractInsertFinance.py | ExtractInsertFinance.py | py | 2,051 | python | en | code | 1 | github-code | 90 |
38134303240 | import pygame
from View.GameStateENUM import GameState as gs, ButtonType as bt
class AbstractUIDropdownButton():
def __init__(self, gameWindow, buttonColor, buttonText, buttonWidth, buttonHeight, displayX, displayY, viewManager):
#button properties
self.gameWindow = gameWindow
self.buttonColor = button... | Miko3o/maze_solver | part_3_b/View/UIDropdownButtons/AbstractUIDropdownButton.py | AbstractUIDropdownButton.py | py | 3,643 | python | en | code | 0 | github-code | 90 |
15653096378 | from app import app
from flask import Flask, session, redirect, render_template, flash, url_for, request
from app.forms import LoginForm
from app.models import Users
from tools import login_require
@login_require.login_message_req
@app.route("/login/", methods=['GET', 'POST'])
def login():
form = LoginForm()
... | liwg1995/NiceCatMonitor | app/views.py | views.py | py | 1,120 | python | en | code | 0 | github-code | 90 |
1869259227 | import cashPayment
import cardPayment
class OrderCtrl:
def __init__(self):
self.card = cardPayment.CardPayment()
self.cash = cashPayment.CashPayment()
self.amount = 0
def order(self, price):
print(price, "원의 결제를 진행하겠습니다")
self.amount = price
ch = int(inp... | yong4980/KMU_Shopping_Mall | orderCtrl.py | orderCtrl.py | py | 621 | python | en | code | 0 | github-code | 90 |
18461120129 | from sys import stdin
def main():
n = int(input())
h = list(map(int, input().split()))
#print(n, h)
L = [0 for _ in range(n)]
L[0] = 0
L[1] = abs(h[1] - h[0])
for ind in range(2, n):
L[ind] = min(L[ind - 1] + abs(h[ind] - h[ind - 1]), L[ind - 2] +
abs(h[ind] - h[ind - 2]))
print(L[-1])
if __... | Aasthaengg/IBMdataset | Python_codes/p03160/s843039729.py | s843039729.py | py | 369 | python | en | code | 0 | github-code | 90 |
30779057834 | from django.core.cache import cache
import urllib.request
import urllib.error
import xml.dom.minidom
import hashlib
import requests
import json
from urllib.parse import quote
def smsseng(mobile,msg,code):
url = "http://cf.51welink.com/submitdata/Service.asmx/g_Submit"
ontent = "'尊敬的用户您好，您的{}验证码为{}，三分钟内有效！'"... | lxb0323/township_bsckstage | utils/yanzheng/duanxin.py | duanxin.py | py | 3,312 | python | en | code | 0 | github-code | 90 |
74397364456 | from selenium import webdriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from time import sleep
import random
# 要搜索的网址，如百度、谷歌...shiyixia
url = 'https://www.baidu.com/'
# 要搜索的关键字，以数组的形式填入
keyword_... | Jarthong/seo | atuo_search_random.py | atuo_search_random.py | py | 1,379 | python | en | code | 0 | github-code | 90 |
1166157718 | import sys
import hellopython
def testFunc():
name = "LiuXing"
gender = 'male'
arr = [1, 2, 3, 4]
dic = {'x': 1, 'y': 2, 'z': 3}
arr.pop()
print(name, gender, arr, dic)
testFunc()
filename = "test.txt"
filepath = "C:/Users/Administrator/Desktop/"
with open(filepath + filename) as testFile:
print(testFile.read()... | MiataXing/Freestyle | src/py/180424.py | 180424.py | py | 421 | python | en | code | 1 | github-code | 90 |
73070401896 | from marshmallow import Schema, fields, post_load
from folker.module.file.action import (
FileMethod,
FileStageAction,
FileStageReadAction,
FileStageWriteAction,
FileStageDeleteAction,
)
class FileActionSchema(Schema):
type = fields.String()
method = fields.String()
file = fields.Str... | felipehernandez/folker-test | folker/module/file/schema.py | schema.py | py | 658 | python | en | code | 2 | github-code | 90 |
13456237855 | import os
ventMap = {} # x: [y's]
with open(os.path.join(os.path.dirname(__file__), "input2.txt")) as f:
for line in f:
processedLine = line.replace(' -> ', ',')
numbers = [(int)(val) for val in processedLine.split(',')]
if numbers[0] != numbers[2] and numbers[1] != numbers[3]:
... | JDaniel41/advent-of-code-2021 | day05/main.py | main.py | py | 2,369 | python | en | code | 0 | github-code | 90 |
26272473934 | k = int(input())
inputStr = str(input())
maxLen = 0
prevStateLen = 0
state = "N"
stateLen = 0
for i in range(0, k):
part = inputStr[i]
if not state == part:
prevStateLen = stateLen
state = part
stateLen = 0
stateLen += 1
maxLen = max(maxLen, min(prevStateLen, stateLen) * 2)
print(maxLen)
| spotky1004/Coding-Problem-Solving | Baek/contest/end/4th UNIST Algorithm Programming Contest Uni-CODE 2022 Open Contest/A.py | A.py | py | 311 | python | en | code | 2 | github-code | 90 |
70099952938 | import boto3
s3 = boto3.client('s3')
Bucket = '<your bucket>'
Key = '<s3 bucket prefix>/pagecounts-20100212-050000.gz'
SQLstr = "select s._1,s._4 from s3object s where CAST(s._4 as INTEGER)>50000 limit 20"
"""
S3 SELECT command SQL refer to:
https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-referen... | hawkey999/BigData-ImmersionDay | Lab1-S3Select/S3SelectDemo-csv.py | S3SelectDemo-csv.py | py | 1,859 | python | en | code | 4 | github-code | 90 |
70611673258 | """
@Author: Rossi
Created At: 2021-02-21
"""
import json
import time
from mako.template import Template
from Broca.faq_engine.index import ESIndex, VectorIndex
from Broca.message import BotMessage
class FAQAgent:
def __init__(self, agent_name, es_index, vector_index, threshold, topk, prompt_threshold,
... | lawRossi/Broca | Broca/faq_engine/agent.py | agent.py | py | 2,897 | python | en | code | 4 | github-code | 90 |
8711155948 | '''
Created on Oct 18, 2010
@author: guillaume.aubert@gmail.com
'''
import sys
import os
import binascii
from bitstring import BitString
def dirwalk(dir):
"""
Walk a directory tree, using a generator.
This implementation returns only the files in all the subdirectories.
Beware, this is a generator... | gaubert/rodd | src/eumetsat/tools/lrit_grib_extractor.py | lrit_grib_extractor.py | py | 4,355 | python | en | code | 3 | github-code | 90 |
9164856725 | import time
start_time = time.time()
# 2
# / \
# 1---3
# | X |
# 0---4
neighbours = [{1, 3, 4}, {0, 2, 3, 4}, {1, 3}, {0, 1, 2, 4}, {0, 1, 3}]
def run(before, current):
if len(before) == 8:
print("Done all: " + str(before))
return [before]
if len({tuple(sorted([i, current])) for i in neigh... | rrickfox/AdventOfCode | haus_nikolaus.py | haus_nikolaus.py | py | 1,043 | python | en | code | 0 | github-code | 90 |
33485103606 | '''Computing ASSIGNMENT-3'''
# Question 1 - Python program to count the number of occurrences of each word or character in the string entered by the user as follows:
from subprocess import list2cmdline
print("\nQuestion-1\n")
str = input("Type Your String: ")
str_set1 = set(str)
str_list = str.split()
s... | vipinbansal179/Pec-Computing | Assignment3.py | Assignment3.py | py | 6,016 | python | en | code | 0 | github-code | 90 |
34872756170 | import pytest
from pandas import (
Interval,
Timedelta,
Timestamp,
)
class TestContains:
def test_contains(self):
interval = Interval(0, 1)
assert 0.5 in interval
assert 1 in interval
assert 0 not in interval
interval_both = Interval(0, 1, "both")
asse... | pandas-dev/pandas | pandas/tests/scalar/interval/test_contains.py | test_contains.py | py | 2,354 | python | en | code | 40,398 | github-code | 90 |
1789142955 | # https://leetcode.com/problems/binary-tree-right-side-view/
# Recursive Approach: TC - O(N), SC - Auxillary O(N)
# 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 Solut... | danish-faisal/Striver-s-SDE-Sheet | Binary Tree - Day 17/left-view-of-binary-tree.py | left-view-of-binary-tree.py | py | 968 | python | en | code | 0 | github-code | 90 |
424982169 | '''
May 2017
@author: Burkhard
'''
import tkinter as tk
from tkinter import ttk
from tkinter import scrolledtext
from tkinter import Menu
from tkinter import Spinbox
from tkinter.messagebox import showinfo
#-----------------------------------------------------------
# Callback functions
#-----------------------------... | PacktPublishing/Python-GUI-Programming-Cookbook-Second-Edition | Chapter11/Ch11_Code/GUI_Complexity_end_tab3_multiple_notebooks.py | GUI_Complexity_end_tab3_multiple_notebooks.py | py | 8,126 | python | en | code | 311 | github-code | 90 |
39736052903 | import sys
input = sys.stdin.readline
for i in range(int(input())):
n = int(input())
N = []
d = 2
while n != 1:
if n % d != 0:
d += 1
else:
n //= d
N.append(d)
set_N = list(set(N))
set_N.sort()
for i in set_N:
print(i, N.count(... | lyong4432/BOJ.practice | #2312.py | #2312.py | py | 324 | python | en | code | 0 | github-code | 90 |
5859161460 | from revChatGPT.V1 import Chatbot
from os import getenv
from threading import Thread
from uuid import uuid4
from func import okreturn, jsonerror
chatbot = Chatbot(config={
'session_token': getenv('CHATGPT_TOKEN')
})
dic = {}
def get(uu):
try:
a = dic[uu]
if (a['finish']):
dic.pop... | simsum929/webchatgpt | chat.py | chat.py | py | 787 | python | en | code | null | github-code | 90 |
70971501097 | """
Windows Defender
"""
import os
import re
import subprocess
from common.interface_scanner import IScanner
from common.response import Response
from common.enum_returncode import Returncodes
class WindowsDefender(IScanner):
"""
Scanner as Windows Denfer
"""
def __init__(self) -> None:
self.... | JSXRED/rvp | common/scanner/windowsdefender.py | windowsdefender.py | py | 1,848 | python | en | code | 3 | github-code | 90 |
70213367656 | import matplotlib.pyplot as plt
import numpy as np
import scipy.signal as spsig
from cebl import util
from . import bandpass
from . import windows
def downsample(s, factor):
"""Downsample a discrete signal by a given factor.
Args:
s: Numpy array containing the discrete signal to downsample.
... | idfah/cebl | cebl/sig/resamp.py | resamp.py | py | 10,883 | python | en | code | 10 | github-code | 90 |
27706203505 | from codeinterpreterapi import CodeInterpreterSession
from codeinterpreterapi import File
class CodeInterpreter:
def __init__(self, db_manager):
self.db_manager = db_manager
async def process(self, prompt, uploaded_files):
files = []
for uploaded_file in uploaded_files:
fi... | mahm/codeinterpreter-streamlit | code_interpreter.py | code_interpreter.py | py | 718 | python | en | code | 33 | github-code | 90 |
40509118705 | from qparser import *
import json
import requests
class TestRequestParser:
"""The class test each method from class RequestParser from
qparser.py"""
REQUESTPARSER = RequestParser()
REQUESTPARSERTWO = RequestParser()
REQUESTPARSERTHREE = RequestParser()
REQUESTPARSERFOUR = RequestParser()
... | elmasta/GPBot | test_qparser.py | test_qparser.py | py | 9,307 | python | en | code | 0 | github-code | 90 |
29394966755 |
operators=[] #operatörlerin olduğu stack
final=[] #son stack
includes=False #gelen operatörün kendisinden önce parantez içerip içermediğini belirler, içeriyorsa true içermiyorsa false
index=0 #her karakter atlanıldığında index değerinin artışı burada tutulur, özellikle birden fazla basamaklı sayılar olduğunda kullanış... | lullabytuls/calculator-design-with-python-using-stack- | main.py | main.py | py | 6,225 | python | tr | code | 0 | github-code | 90 |
72779923818 | from rest_framework import serializers
from invitesys.models import InviteContractSign
class ContractInfoSerializer(serializers.ModelSerializer):
class Meta:
model = InviteContractSign
fields = ('id', 'ctid', 'generate_date', 'sign_status_A', 'sign_status_B', 'content')
extra_kwargs = {
... | fhydralisk/walibackend | invitesys/serializers/contract.py | contract.py | py | 406 | python | en | code | 1 | github-code | 90 |
3460975198 | import json
from copy import deepcopy
from enum import Enum
from os import environ
import httpx
from lib.durak.exceptions import ActionNotDefined, IllegalAction
from lib.durak.game import AI, Game
def noop(*, from_state):
return Game.deserialize(from_state).serialize()
def attack(*, from_state, user, payload):... | maximpertsov/durak-sockets | lib/durak/__init__.py | __init__.py | py | 4,104 | python | en | code | 0 | github-code | 90 |
29542456617 | # -*- coding: utf-8 -*-
# @Time : 2021/9/30 15:40
# @Github : https://github.com/monijuan
# @CSDN : https://blog.csdn.net/qq_34451909
# @File : 700. 二叉搜索树中的搜索.py
# @Software: PyCharm
# ===================================
"""给定二叉搜索树（BST）的根节点和一个值。 你需要在BST中找到节点值等于给定值的节点。 返回以该节点为根的子树。 如果节点不存在，则返回 NULL。
例如，
给定二叉... | monijuan/leetcode_python | code/AC1_easy/700. 二叉搜索树中的搜索.py | 700. 二叉搜索树中的搜索.py | py | 1,901 | python | zh | code | 0 | github-code | 90 |
5544452822 | # 안전 영역
import sys
si = sys.stdin.readline
N = int(si())
# 상하좌우
dirs = [(-1, 0), (1, 0), (0, -1), (0, 1)]
# 1. 2차원 그래프 생성하기
graph = [[] for i in range(N)]
answer = -1
maxi = -1
for i in range(N):
tmp = list(map(int, si().split()))
graph[i] = tmp
# 2차원 그래프의 최댓값 체크하기
for i in graph:
a = max(i)
maxi = m... | SteadyKim/Algorism | language_PYTHON/백준/BJ2468.py | BJ2468.py | py | 1,547 | python | ko | code | 0 | github-code | 90 |
2234268098 | class Node:
def __init__(self, found=False, nodes={}):
self.found = found
self.nodes = nodes
def addWord(self, word):
if word == "":
self.found = True
else:
c = word[0]
if c not in self.nodes:
self.nodes[c] = Node(nodes={})
... | vyshor/LeetCode | Word Break II.py | Word Break II.py | py | 1,451 | python | en | code | 0 | github-code | 90 |
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