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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
18105972879 | def bubble_sort(A):
swap_cnt = 0
for i in range(len(A)):
for j in range(len(A) - 1, i, -1):
if A[j] < A[j - 1]:
A[j], A[j - 1] = A[j - 1], A[j]
swap_cnt += 1
return A, swap_cnt
n = int(input())
A = list(map(int, input().split()))
A, swap_cnt = bubble_sor... | Aasthaengg/IBMdataset | Python_codes/p02259/s690490414.py | s690490414.py | py | 371 | python | en | code | 0 | github-code | 90 |
13173298201 | import pandas as pd
import pickle
import time
import sys
from datetime import timedelta
from math import isnan
class StatCruncher:
def __init__(self, df_path, roster, teamStats, setType):
self._df = pd.read_csv(df_path, compression='gzip', dtype=setType)
self._roster = roster
self._teamStat... | aleko-/nbacruncher | cruncher.py | cruncher.py | py | 11,213 | python | en | code | 0 | github-code | 90 |
72014988138 | from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from starlette.middleware.cors import CORSMiddleware # 追加
import pandas as pd
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True, # 追記により追加
allow_methods=["*"], # 追記により追加
al... | nobusugahara-japan/fastapi-hpml | sample/main.py | main.py | py | 2,531 | python | en | code | 0 | github-code | 90 |
17848451032 | from flask import Blueprint, Flask, send_file, abort, jsonify, Response
from flaskr import service
from pathlib import Path
import os
IMG_PATH = Path("./flaskr")
IMG = IMG_PATH / "data.png"
bp = Blueprint("controller", __name__, url_prefix="/data")
app = Flask(__name__)
@bp.route("/get-sum", methods=["GET"])
def ge... | ethan-tauriainen/aeris_project | flaskr/controller.py | controller.py | py | 1,228 | python | en | code | 0 | github-code | 90 |
73778754535 | #!/usr/bin/python3
import json
import time
import requests
import urllib.parse
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import ... | Bora2k3/Writing_a_Web_Crawler_Using_Python | Week1/7_instagram/insta.py | insta.py | py | 2,366 | python | en | code | 0 | github-code | 90 |
20850854182 | class Solution:
def smallerNumbersThanCurrent(self, nums):
result = []
for element in range(len(nums)):
j = 0
count = 0
while j < len(nums):
if nums[element] > nums[j]:
count += 1
j += 1
print("elemen... | Harishkumar18/data_structures | coding_problems/nos_smaller_current.py | nos_smaller_current.py | py | 472 | python | en | code | 1 | github-code | 90 |
72367680938 | from conexao.conexaoBD import ConexaoBD
class AvisosDao:
_conexaoBD = ConexaoBD()
_conexao = _conexaoBD.criarConexao()
def __int__(self):
pass
def adicionarAviso(self, vetorAtributos):
cursor = self._conexao.cursor()
sql = "INSERT INTO avisos (avi_id, avi_titulo, avi_descricao... | ArthurOliveira173/Repositorio-Estagio | dao/avisosDao.py | avisosDao.py | py | 1,449 | python | en | code | 0 | github-code | 90 |
27388821095 | import os
import pandas as pd
from sqlalchemy import create_engine
from statsmodels.tsa.arima.model import ARIMA
import matplotlib.pyplot as plt
from dotenv import load_dotenv
load_dotenv()
def get_games_from_db():
engine = create_engine(f'postgresql://{os.getenv("DB_USER")}:{os.getenv("DB_PASSWORD")}@localhost/{... | kahlstorf1/pawnalytics | regression/arima.py | arima.py | py | 1,093 | python | en | code | 0 | github-code | 90 |
43699407442 | import pytest
import urllib3
import deal
def test_pure_silent():
@deal.pure
def func(msg):
if msg:
print(msg)
func(None)
with pytest.raises(deal.SilentContractError):
func('bad')
def test_pure_safe():
func = deal.pure(lambda x: 1 / x)
func(2)
with pytest.rai... | life4/deal | tests/test_runtime/test_pure.py | test_pure.py | py | 635 | python | en | code | 637 | github-code | 90 |
39250386924 | from flask import Flask, request, render_template
app = Flask(__name__)
@app.route("/", methods=["GET", "POST"])
def zip_code():
if request.method == "GET":
return render_template('task_2.html')
elif request.method == "POST":
code = request.form['code']
try:
if isinstance(... | EwaJakub/Podstawy_Pythona | 08_Dzien_4_-_praca_domowa/task_2.py | task_2.py | py | 696 | python | en | code | 0 | github-code | 90 |
18388358319 | P,Q,R=[int(s) for s in input().split(" ")]
List=[P,Q,R,P]
Ans=[]
SUM=0
for i in range(3):
SUM=List[i]+List[i+1]
Ans.append(SUM)
print(min(Ans)) | Aasthaengg/IBMdataset | Python_codes/p03011/s653356569.py | s653356569.py | py | 158 | python | en | code | 0 | github-code | 90 |
7514000881 | """
Ziwei Zhu
Computer Science and Engineering Department, Texas A&M University
zhuziwei@tamu.edu
"""
from data_preprocessor import *
import tensorflow as tf
import time
import argparse
import os
from JCA import JCA
if __name__ == '__main__':
neg_sample_rate = 1
date = time.strftime('%y-%m-%d', time.localtime... | Zziwei/Joint-Collaborative-Autoencoder | test.py | test.py | py | 1,971 | python | en | code | 14 | github-code | 90 |
4107613692 | from oauth2client.contrib.appengine import OAuth2Decorator
OAUTH_DECORATOR = OAuth2Decorator(
client_id='405427916132-5973brd7egkdsptqdck52992lvspvv0s.apps.googleusercontent.com',
client_secret='sBgVwvA6caPGsb4vJY9mwROM',
scope=[
'https://www.googleapis.com/auth/userinfo.email',
],
callbac... | atishn/hackathon-in-between | meetapp/handlers/oauth2callback.py | oauth2callback.py | py | 347 | python | en | code | 0 | github-code | 90 |
18380449633 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import time
import threading
import datetime
class Snow(object):
def __init__(self, idx=None):
init_date = time.strptime('2020-04-01 00:00:00', "%Y-%m-%d %H:%M:%S")
self.start = int(time.mktime(init_date) * 1000)
self.last = int(time.time... | lyt0527/Snowflakes | Snowflakes.py | Snowflakes.py | py | 1,308 | python | en | code | 0 | github-code | 90 |
18927412801 | import torch
import torch.nn as nn
import torch.nn.functional as F
from options import opt
class CapsuleNet_EM(nn.Module):
def __init__(self, input_size, relation_vocab):
super(CapsuleNet_EM, self).__init__()
self.primary_caps = PrimaryCaps(16, 16)
self.class_capsule = ClassCaps(16, relat... | foxlf823/ADExtractor | capsule_em.py | capsule_em.py | py | 6,566 | python | en | code | 1 | github-code | 90 |
71052210537 | #!/usr/bin/env python3
import os
from cryptography.fernet import Fernet
files = []
#add files to files array if file is a file
for file in os.listdir():
if file == "encrypt.py" or file == "encryption.key" or file == "decrypt.py":
continue
if os.path.isfile(file):
files.append(file)
print(files)
#read encrpy... | therealhalonen/PhishSticks | notes/rajala/Contents/decrypt.py | decrypt.py | py | 723 | python | en | code | 4 | github-code | 90 |
25512653693 | # Реверси клон Отелло
import random as r
import pygame as pg
from settings import *
import engine
def draw_text(text, text_font, surface, x, y):
text_obj = text_font.render(text, 1, TEXT_COLOR)
text_rect = text_obj.get_rect()
text_rect.topleft = (int(x), int(y))
surface.blit(text_obj, text_rect)
de... | mysterioagent/Reversi | game.py | game.py | py | 8,124 | python | en | code | 0 | github-code | 90 |
37011015727 | import zmq
import argparse
import csv
import random
import time
# Parse arguments
parser = argparse.ArgumentParser('ZMQ Publisher')
parser.add_argument('-port', default=random.randint(10000, 40000), help='The port to bind your process to', type=int)
parser.add_argument('-topic', help='The topic to publish', required=T... | SKShah36/Design_Patterns | publisher.py | publisher.py | py | 1,268 | python | en | code | 0 | github-code | 90 |
3044756946 | import os, sys
from ..cache import alembic
from ....version.folder import Version
from ....version.import_version import animation_film
from .. import envrionment
class ImportVersion(animation_film.ImportAnimationVersion):
def __init__(self):
"""
Child of the version.export_version.Version
... | Djangotron/versionMaker | application/houdini/import_hou/animation.py | animation.py | py | 7,165 | python | en | code | 0 | github-code | 90 |
40849183130 | import scipy.io
import numpy as np
import matplotlib.pyplot as plt
import os
import logging
from BasicTools import get_file_path, nd_index, wav_tools
class Directivity(object):
direct_dir = f'{os.path.dirname(__file__)}/SENSOR/Types'
direct_type_all = [
'bidirectional', 'cardoid', 'dipole', 'hemispher... | bingo-todd/RoomSimulator | RoomSimulator/Directivity.py | Directivity.py | py | 6,339 | python | en | code | 2 | github-code | 90 |
18393291779 | def main():
s = input()
s = s.replace("BC", "D")
ans = 0
cnt = 0
for i in range(len(s)):
if s[i] == "A":
cnt += 1
elif s[i]=="D":
ans += cnt
else:
cnt=0
print(ans)
main() | Aasthaengg/IBMdataset | Python_codes/p03018/s770402340.py | s770402340.py | py | 254 | python | en | code | 0 | github-code | 90 |
12497266238 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 2 17:52:23 2022
@author: guilherme
"""
import pandas as pd
from helper import load_normalized_data_classification
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification
from sklearn.model_selection imp... | guilherme9718/SI_Trab3_Regredir_Classificar | random_forest_classification.py | random_forest_classification.py | py | 1,900 | python | en | code | 0 | github-code | 90 |
19018732915 | from typing import List
class Solution:
def maxEqualSum(self, n1: int, n2: int, n3: int, s1: List[int], s2: List[int], s3: List[int]) -> int:
tot1, tot2, tot3 = sum(s1), sum(s2), sum(s3)
i, j, k = 0, 0, 0
while ((i < n1) and (j < n2) and (k < n3)):
if (tot1 == tot2 == tot3): retu... | Tejas07PSK/lb_dsa_cracker | Greedy/Find maximum sum possible equal sum of three stacks/solution.py | solution.py | py | 564 | python | en | code | 2 | github-code | 90 |
75038006376 | #!/usr/bin/env python3
import yaml
import argparse
import sys
parser = argparse.ArgumentParser(
description='Release utility for the Graylog Docker image.')
parser.add_argument('--get-graylog-version',
help="Get Graylog image version.", action='store_true')
parser.add_argument('--get-forwarder... | Graylog2/graylog-docker | release.py | release.py | py | 1,676 | python | en | code | 320 | github-code | 90 |
39017292978 | from django.http import HttpResponse
from lazysignup.decorators import allow_lazy_user, require_lazy_user, require_nonlazy_user
def view(request):
r = HttpResponse()
try:
if request.user.is_authenticated():
r.status_code = 500
except TypeError:
if request.user.is_authenticated:... | danfairs/django-lazysignup | lazysignup/tests/views.py | views.py | py | 762 | python | en | code | 406 | github-code | 90 |
17999287320 | from kivymd.app import MDApp
from kivymd.uix.list import (TwoLineIconListItem,
IconLeftWidget, ImageLeftWidget)
from helpers import list_helper3
from kivy.lang.builder import Builder
class DemoApp(MDApp):
def build(self):
screen = Builder.load_string(list_helper3)
ret... | LivioAlvarenga/Tutoriais_Kivy_KivyMD | Tutorial_Geral/kivymd_Creating_List4.py | kivymd_Creating_List4.py | py | 1,639 | python | en | code | 1 | github-code | 90 |
13627321783 | # Halloween Candy
# You go trick or treating with a friend. All, but three houses are giving away candy. One house
# is giving away toothbrushes and two are giving out $1 bills. Given the total number of houses
# visited, what is the chance of pulling a dollar bill from your bag?
import math
houses = int(input("... | HerBunny/LagomorphaLearning | Python for Beginners/HalloweenCandy.py | HalloweenCandy.py | py | 476 | python | en | code | 1 | github-code | 90 |
41379750657 | # -*- coding: utf-8 -*-
import json
import logging
from kombu import Connection
from celery.task import task
from django.conf import settings
log = logging.getLogger(__name__)
USE_CELERYD = getattr(settings, "PYPO_USE_CELERYD", False)
PLAYOUT_BROKER_URL = getattr(settings, "PLAYOUT_BROKER_URL", False)
BROKER_QUEUE =... | digris/openbroadcast.org | website/base/pypo/gateway.py | gateway.py | py | 1,064 | python | en | code | 9 | github-code | 90 |
18130927924 | class Solution(object):
def convert(self, s, numRows):
"""
:type s: str
:type numRows: int
:rtype: str
"""
sList = list(s)
res = [[] for n in range(numRows)]
length = len(s)
if length < numRows:
return s
gap = numRows - 1 ... | sstrac/leetcode | zigzagConversion.py | zigzagConversion.py | py | 988 | python | en | code | 0 | github-code | 90 |
20711735376 | x = (input())
if not x.isdigit():
print(f"{x} 是一個不合法的輸入，無法運算。")
else:
factorial = 1
for i in range(int(x)+1):
if i == 0:
continue
factorial = i*factorial
print(factorial)
| ice4869/python | Task07-02.py | Task07-02.py | py | 226 | python | en | code | 0 | github-code | 90 |
33658347757 | # https://leetcode-cn.com/problems/binary-tree-preorder-traversal/
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def preorderTraversal(self, root: TreeNode) -> List[int]:
res = []
def helper(root):
if n... | algorithm004-04/algorithm004-04 | Week 02/id_049/LeetCode_144_049.py | LeetCode_144_049.py | py | 853 | python | en | code | 66 | github-code | 90 |
11873288610 | import pandas as pd
import warnings
warnings.simplefilter("ignore")
import re
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
from nltk.tokenize import word_tokenize
from sklearn.metrics.pairwise import cosine_similarity
import tkinter ... | Abdelrhman-Sadek/My-Anime-GUI | Code/GUI/MAL_GUI.py | MAL_GUI.py | py | 15,759 | python | en | code | 0 | github-code | 90 |
32452425979 | from sys import stdin
stdin = open("input.txt", "r")
size = int(stdin.readline())
index = int(stdin.readline())
left = 1
right = size ** 2
while True :
center = (left + right) // 2
limit = size if size < center else center
cnt = 0
for num in range(1, limit + 1) :
tmp = center ... | choekko/algorithm | Python/inHome/1300(k번째수).py | 1300(k번째수).py | py | 550 | python | en | code | 0 | github-code | 90 |
16866297058 | # -*- coding: utf-8 -*-
import os
import sys
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
# 'python setup.py build' shortcut
if sys.argv[-1] == "build":
os.system("python setup.py sdist bdist_wheel")
sys.exit()
# 'python setup.py check' shortcut
if sys.argv[... | joshschmelzle/lscom | setup.py | setup.py | py | 1,750 | python | en | code | 0 | github-code | 90 |
24907640487 | import os
import re
import sys
import gzip
import glob
import json
import torch
import logging
import transformers
import numpy as np
import pandas as pd
import seaborn as sns
from typing import Optional
from metrics import compute_metrics as run_metrics # workaround since hf already defines a function with this name... | TristesseBlue/seq2seq-agreement-attraction | core/run_seq2seq.py | run_seq2seq.py | py | 30,014 | python | en | code | 0 | github-code | 90 |
29526669081 | import sys
import os # noqa
sys.path.insert(0, ".") # noqa
from utils.styled_plot import plt
from utils.dataset import Dataset
from classifiers.mlp import MLP
import numpy as np
import re
from anchor import anchor_tabular
from tests.config import WORKING_DIR
module = __import__(f"{WORKING_DIR}.custom_lime",
... | automl-classroom/iML-ws21-ex04 | tasks/anchors.py | anchors.py | py | 3,750 | python | en | code | 0 | github-code | 90 |
29878136335 | import json
from numpy import (
integer,
int64,
floating,
ndarray
)
class NpEncoder(json.JSONEncoder):
"""
npEncoder.
Numpy number encoder for json
"""
def default(self, o):
if isinstance(o, (integer, int64)):
return int(o)
elif isinstance(o, floatin... | phenobarbital/asyncdb | asyncdb/utils/encoders/numpy.py | numpy.py | py | 486 | python | en | code | 23 | github-code | 90 |
14205150079 | from pathlib import Path
import json
import random
from ..xiuxian2_handle import XiuxianDateManage
from .bossconfig import get_config
config = get_config()
DATEPATH = Path() / "data" / "xiuxian"
jingjie = ['练气境', '筑基境', '结丹境', '元婴境', '化神境', '炼虚境', '合体境', '大乘境', '渡劫境','真仙境','金仙境','太乙境']
sql_message = XiuxianDateManage(... | xipesoy/nonebot_plugin_xiuxian | nonebot_plugin_xiuxian/xiuxian_boss/makeboss.py | makeboss.py | py | 1,235 | python | en | code | null | github-code | 90 |
42883785994 | # -*- coding: utf-8 -*-
import os
import re
import sys
sys.path.append("/home/lishiyu/talib_test/bin_tools/")
from common import *
from datetime import datetime
import xlsxwriter
from collections import OrderedDict
from cluster import hcl_mean
from importlib import reload
from bins import *
from ent import db_ent
imp... | lsy83971/talib_test | bin_tools/logit.py | logit.py | py | 19,865 | python | en | code | 0 | github-code | 90 |
17438295970 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
import tensorflow as tf
def patches_1d(images, patch_width):
"""Extract patches along the last dimension of `images`.
Thin wrapper around `tf.extract_image_patches` that only takes horizontal
... | tensorflow/moonlight | moonlight/util/patches.py | patches.py | py | 2,218 | python | en | code | 321 | github-code | 90 |
18171875190 | """
CNN_utils
Author: Tim Burt
This library holds backend functions for the ResNet class, z-slice channel preprocessing, and validation methods
Parts of code based on package from https://github.com/taki0112/ResNet-Tensorflow
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # or any {'0', '1', '2'}
import wa... | tab10/Med3DResNet | ACVProject/CNN_utils.py | CNN_utils.py | py | 7,232 | python | en | code | 3 | github-code | 90 |
39639374301 | from models.sync_batchnorm import DataParallelWithCallback
import models.generator as generators
import models.discriminator as discriminators
import os
import copy
import torch
import torch.nn as nn
from torch.nn import init
import models.losses as losses
from utils.diff_aug import DiffAugment
class OASIS_model(nn.... | cvpr-1915/code_1915 | models/models.py | models.py | py | 7,784 | python | en | code | 0 | github-code | 90 |
24483836449 | import asyncio
import time
from contextlib import suppress
from datetime import datetime
from functools import partial
from textwrap import dedent
import discord
from async_timeout import timeout
from discord.ext import commands
from discord.ext.menus.views import ViewMenuPages
from humanize import intcomma
from youtu... | Buster-2002/Brankobot | brankobot/cogs/music.py | music.py | py | 15,396 | python | en | code | 0 | github-code | 90 |
37789022990 | import json
import logging
import simplejson
from django.conf import settings
from django.http import HttpResponse
from django.utils import timezone
from rest_framework import mixins, status
from astrobin_apps_images.api import constants, signals
from astrobin_apps_images.api.mixins import TusCacheMixin
from astrobin... | astrobin/astrobin | astrobin_apps_images/api/mixins/tus_create_mixin.py | tus_create_mixin.py | py | 5,938 | python | en | code | 100 | github-code | 90 |
2604145630 | from collections import Counter
from string import punctuation
import nltk;
def content_text(text):
stopwords = set(nltk.corpus.stopwords.words('english')) # 0(1) lookups
with_stp = Counter()
without_stp = Counter()
with open(text) as f: #change encoding to UTF 8 if reading from charName2
... | SaishRedkar/DataMining_IMDb | mostOccurringWords_filterStopWordsNLTK.py | mostOccurringWords_filterStopWordsNLTK.py | py | 1,289 | python | en | code | 3 | github-code | 90 |
37854548621 | from tkinter import *
import random
root = Tk()
root.title("Dictionary")
root.geometry("600x400")
Dictionary = {"color":["red","orange","yellow","green","blue","purple","pink"]}
def colorchange():
random_no = random.randint(0,6)
print(Dictionary["color"][random_no])
root.configure(background = Di... | oakunicycle4399/colors | 155.py | 155.py | py | 485 | python | en | code | 0 | github-code | 90 |
8217626875 | from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http.response import HttpResponseRedirect
from django.shortcuts import redirect, render
from django.urls import reverse_lazy
from django.views.generic import DeleteView, UpdateView
from .forms import Clien... | tunsmm/fitness_guide | fitness_guide/menu/views.py | views.py | py | 13,680 | python | en | code | 1 | github-code | 90 |
36441303398 | from queue import PriorityQueue
import curses
import time
class Board(object):
"""
- Esta classe define um tabuleiro para o 8-Puzzle.
- As telhas são denotadas usando 1-8, 0 denota uma peça em branco.
"""
def __init__(self, board=None, moves=0, previous=None):
"""
placa: array r... | marcelofilhogit/8-Puzzle | main.py | main.py | py | 8,247 | python | pt | code | 0 | github-code | 90 |
22292511254 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Module: Plotting
# Author: Paul David Harris
# Created; 29 Jun 2022
# Modified: 21 July 2022
# Purpose: plotting functions for burstH2MM
"""
.. _plotting:
Plotting
========
This section provides all the plotting functions for burstH2MM.
Most functions take a H2MM_resul... | harripd/burstH2MM | burstH2MM/Plotting.py | Plotting.py | py | 120,374 | python | en | code | 2 | github-code | 90 |
30003673255 | from flask import Flask, redirect, request, render_template, flash, jsonify, Response, url_for
from flask_debugtoolbar import DebugToolbarExtension
from handlers import form_validate
from forex import get_rate, validate_code
app = Flask(__name__)
app.config['SECRET_KEY'] = '1579'
debug = DebugToolbarExtension(app)
ap... | HeyImMatt/springboard-currency-conversion | app.py | app.py | py | 1,541 | python | en | code | 0 | github-code | 90 |
18757111591 | import torch.nn as nn
import torch.nn.functional as F
class Seq2Seq(nn.Module):
def __init__(self, encoder, decoder, decode_function=F.log_softmax):
super(Seq2Seq, self).__init__()
self.encoder = encoder
self.decoder = decoder
self.decode_function = decode_function
def flatten... | clovaai/ClovaCall | las.pytorch/models/Seq2Seq.py | Seq2Seq.py | py | 1,324 | python | en | code | 213 | github-code | 90 |
36586011794 | import time
import torch
from models import TransformerLayer
from vanilla_model import TransformerSeqLayer as SeqLayer
device=1
torch.cuda.set_device(device)
torch.manual_seed(42)
torch.cuda.manual_seed_all(42)
iter=64
N=12
V=1000
def std_layer(B,M,H,K,V):
emb = torch.nn.Embedding(V, H).cuda()
X = torch.a... | berbuf/asct | test/test_speed.py | test_speed.py | py | 1,567 | python | en | code | 1 | github-code | 90 |
18184741459 | MOD = 10**9 + 7
def main():
N, K = map(int , input().split())
A = list(map(int, input().split()))
if max(A) < 0 and K % 2 == 1:
A.sort(reverse = True)
ans = 1
for i in range(K):
ans = ans*A[i]%MOD
print(ans%MOD)
elif K == N:
ans = 1
for i in A:
ans = ans*i%MOD
print(an... | Aasthaengg/IBMdataset | Python_codes/p02616/s258207374.py | s258207374.py | py | 1,904 | python | en | code | 0 | github-code | 90 |
70019620137 | List8 = {
"Acting Properly OR Misbehave(opposite)": [
"Decorous",
"Demure",
"Prim",
"Propriety",
"Seemly",
"Execrable(Opposite)",
"Flagrant(Opposite)",
"Malfeasance(Opposite)",
"Unbecoming(Opposite)",
],
"Chaos OR Confusion": [
... | ujjawalpoudel/jamboreeGREwordList | word_list/list8.py | list8.py | py | 3,385 | python | en | code | 2 | github-code | 90 |
23475223488 | import logging
from django.http import HttpResponseRedirect
from data_research.forms import ConferenceRegistrationForm
from v1.handlers import Handler
logger = logging.getLogger(__name__)
class ConferenceRegistrationHandler(Handler):
SUCCESS_QUERY_STRING_PARAMETER = 'success'
"""Query string parameter tha... | KonstantinNovizky/Financial-System | python/consumerfinance.gov/cfgov/data_research/handlers.py | handlers.py | py | 2,577 | python | en | code | 1 | github-code | 90 |
25150488389 | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
# Sadece bu kismin alti degistirilecek
list1 = "https://open.spotify.com/playlist/60Xe5cJDpcbiHbWwsayOsj?si=3b247bf0ece24ede"
list2 = "https://open.spotify.com/playlist/4rEP2SYmsoGWRvXIc7W6qd?si=45ca9bff1d1c4794"
# Sadece bu kismi... | mustafakendiguzel/Pyhton-Spotify-finding-same-music-with-playlist-Web-Scraping- | selen.py | selen.py | py | 1,624 | python | en | code | 0 | github-code | 90 |
2630709381 | import numpy as np
import sys
sys.path.append('python_agent/src')
from game import Connect4State
from my_model import Connect4Model
from mcts import MCTS, MCTSNode
from parallel_mcts import ParallelMCTS, ParallelMCTSNode
def play_game(model, starting_player=1):
state = Connect4State()
state.current_player = st... | Ryuichi-Student/Connect4 | python_agent/main.py | main.py | py | 1,732 | python | en | code | 0 | github-code | 90 |
14023919397 | import os
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.postgres.search import SearchVectorField
from django.contrib.postgres.indexes import GinIndex
from django.db import models
from django.utils.html import format_html
class BuyerListing(models.Model):
website... | VikasNeha/CustomSupplierSolutions_Backend | opportunity/models.py | models.py | py | 18,753 | python | en | code | 0 | github-code | 90 |
18146661819 | import fileinput
W = input()
cnt = 0
for T in fileinput.input():
if T.rstrip() =='END_OF_TEXT':
break
T = T.lower().split()
cnt += T.count(W)
# print(T, cnt)
print(cnt)
| Aasthaengg/IBMdataset | Python_codes/p02419/s132495260.py | s132495260.py | py | 195 | python | en | code | 0 | github-code | 90 |
210871616 | def process_text(t):
t = t.replace('\n', '')
return t
def process_compname(t):
try:
i2 = t.index('公司')
i2 = i2 + 2
except ValueError:
i2 = 20
compname = t[0:i2]
for d in '关于对 ':
compname = compname.replace(d, '')
return compname
| rchopinw/Financial-News-Scraping | text_tools.py | text_tools.py | py | 318 | python | en | code | 1 | github-code | 90 |
1303242803 | import theano
import theano.tensor as T
import numpy as np
from Initializations import glorot_uniform,zero,alloc_zeros_matrix,glorot_normal,numpy_floatX,orthogonal,one,uniform
import theano.typed_list
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
from Activations import relu,LeakyReLU,tanh,sigmo... | chuckgu/Alphabeta | theano/library/Layers.py | Layers.py | py | 8,306 | python | en | code | 0 | github-code | 90 |
18275184639 | n = input()
k = int(input())
digit = len(n)
dp0 = [[0 for i in range(k+1)] for j in range(digit+1)]
dp1 = [[0 for i in range(k+1)] for j in range(digit+1)]
dp1[1][1] = 1
dp0[1][1] = int(n[0])-1
for i in range(1, digit+1):
dp0[i][0] = 1
for i in range(2, digit+1):
for j in range(1, k+1):
num = int(n[i-... | Aasthaengg/IBMdataset | Python_codes/p02781/s398657764.py | s398657764.py | py | 619 | python | en | code | 0 | github-code | 90 |
18450483869 | import sys
input = sys.stdin.buffer.readline
import numpy as np
def main():
N,K = map(int,input().split())
a = list(map(int,input().split()))
l = max(max(a),K).bit_length()
a = np.array(a)
num,ans = 0,0
for i in reversed(range(l)):
base = 2**i
bit = (a>>i)&1
cnt = np.cou... | Aasthaengg/IBMdataset | Python_codes/p03138/s623106157.py | s623106157.py | py | 618 | python | en | code | 0 | github-code | 90 |
18039102169 | s = input()[::-1]
ls = ['dream', 'dreamer', 'erase', 'eraser']
ls = [ls[i][::-1] for i in range(4)]
ans = 'YES'
i = 0
while i < len(s):
ng = 1
for j in range(4):
if s[i:i+len(ls[j])] == ls[j]:
i += len(ls[j])
ng = 0
if ng:
ans = 'NO'
break
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03854/s999295898.py | s999295898.py | py | 310 | python | en | code | 0 | github-code | 90 |
10678129527 | import datetime
from secrets import token_urlsafe
from fastapi import APIRouter, Depends, HTTPException
from pydantic import parse_obj_as
from typing import List
from sqlalchemy.sql import select
from sqlalchemy.orm import Session
from models.model import t_Course, t_Seat,t_Student
from config.db import getDBSession
f... | Nahemah1022/Seat-Reservation-System | web-backend/routes/course.py | course.py | py | 2,896 | python | en | code | 0 | github-code | 90 |
18305960929 | import sys
input = sys.stdin.readline
def main():
# 証言が矛盾していないかチェックする
def check(bit):
for i in range(n):
if not bit & (1 << i):
continue
for human, is_honest in a[i]:
if is_honest == 1 and (bit & (1 << human)):
continue
... | Aasthaengg/IBMdataset | Python_codes/p02837/s537587163.py | s537587163.py | py | 1,039 | python | en | code | 0 | github-code | 90 |
19117792087 | # -*- coding: utf-8 -*-
import torch
from torch import nn,optim,tensor
from torch.nn import functional as F
from ..config.config import (PRICE_MODEL_PARAMS as pmp,DEVICE)
class EncoderRNN(nn.Module):
max_length = pmp.batch_size
def __init__(self, input_size, hidden_size=128):
super().__init__()
... | DRACOsource/biddinggame | biddinggame/solutions/attention.py | attention.py | py | 6,280 | python | en | code | 5 | github-code | 90 |
14875035316 | import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
@st.cache(allow_output_mutation=True)
def load_data():
df = pd.read_csv('crunchbase.csv', encoding='utf-8', delimiter=',')
return df
st.title('Companies that got acquired or issued Ipo')
df = l... | jhapranav98/Startup_Success_prediction | Target_value_visualization.py | Target_value_visualization.py | py | 1,125 | python | en | code | 0 | github-code | 90 |
70401249256 | # Import necessary libraries
import psycopg2
from pymongo import MongoClient
from decimal import Decimal
import datetime
import threading
import logging
import json
import os
from time import sleep
# Load configuration from JSON file
with open("config.json", "r") as f:
config = json.load(f)
# Initialize logging f... | Tvkoushik/postgres-mongo-migrator | migration.py | migration.py | py | 5,272 | python | en | code | 0 | github-code | 90 |
43020263140 | from nonebot import on_command
from nonebot.params import CommandArg
from nonebot.plugin import PluginMetadata
from nonebot.adapters.onebot.v11 import MessageEvent, Message
from .data_source import check_text, random_text
__plugin_meta__ = PluginMetadata(
name="枝网查重",
description="查询发病小作文重复率",
usage="1、查... | noneplugin/nonebot-plugin-asoulcnki | nonebot_plugin_asoulcnki/__init__.py | __init__.py | py | 1,796 | python | en | code | 13 | github-code | 90 |
15972767905 | # for data preprocessing
import os
import json
import sqlite3
import pandas as pd
import numpy as np
from collections import defaultdict
import datetime
import time
from datetime import date, timedelta
import sys
sys.path.append('../src/features')
from build_features import feats
# for LSTM/RNN
from sklearn.model_... | miloncl/System-Usage-Analysis | src/models/lstm_model.py | lstm_model.py | py | 6,484 | python | en | code | 0 | github-code | 90 |
25770153943 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
author: Ewen Wang
email: EwenWangSH@cn.ibm.com
company: IBM
"""
import warnings
warnings.filterwarnings('ignore')
import random
random.seed(0)
import time
import json
import pickle
import pandas as pd
import matplotlib.pyplot as plt
im... | Ewen2015/DataScienceNotes | xgb/DevXGB.py | DevXGB.py | py | 10,942 | python | en | code | 0 | github-code | 90 |
44876782856 | #!python
def linear_search(array, item):
"""return the first index of item in array or None if item is not found"""
# implement linear_search_iterative and linear_search_recursive below, then
# change this to call your implementation to verify it passes all tests
#return linear_search_iterative(array, ... | mediassumani/CS-1.3 | source/search.py | search.py | py | 3,309 | python | en | code | 0 | github-code | 90 |
3870578877 | import numpy as np
import pandas as pd
import json
import pickle
#import cPickle
from DsaPAML import MetaFeaturesCalculation_copy as MFC
import torch
from DsaPAML.DualAutoEncoder4_norm import DualAutoEncoder
#from sklearn.preprocessing import MinMaxScaler
import heapq
import torch.utils.data as Data
# from torchviz i... | JACKLPJ/DsaPAML | GetModels_sub.py | GetModels_sub.py | py | 8,640 | python | en | code | 0 | github-code | 90 |
20239468369 | #!/usr/bin/env python
import rospy
from slam_msgs.msg import StateWithCovariance
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.patches import Ellipse
import threading
from Error_Function import ErrorFunction
class PltPoint():
def __init__(self,x,y,covx,covy,color,label,ax):
self.... | Nolando/experimental_ass3 | Lab3_SLAM/PlotSLAM.py | PlotSLAM.py | py | 5,071 | python | en | code | 0 | github-code | 90 |
16622787576 | # https://adventofcode.com/2021/day/12
import pathlib
import time
from collections import defaultdict
from collections import deque
script_path = pathlib.Path(__file__).parent
input = script_path / 'input.txt' # Right answers: 5178 / 130094 (~but test 2 gives wrong answer!) LUCK? WHY?
input_test = script_path / ... | TragicMayhem/advent_of_code | aoc_2021/day12/aoc2021d12.py | aoc2021d12.py | py | 4,741 | python | en | code | 0 | github-code | 90 |
4296771722 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# Create some random data
x = np.linspace(0, 10, 100)
y = np.sin(x)
# Create a figure and axes
fig, ax = plt.subplots()
# Create an empty line object
line, = ax.plot([], [])
# Set the axis limits
ax.set_xlim(0, 10)
ax.... | ss555/deepFish | servo-experiment/results/t.py | t.py | py | 724 | python | en | code | 0 | github-code | 90 |
35183198391 | # Напишите функцию, которая проверяет является ли число степенью двойки.
# Если истинно выведите True, иначе False.
def is_pow2(n):
if n == 1:
return True
elif n > 1:
return is_pow2(n / 2)
else:
return False
if __name__ == "__main__":
n = int(input("Enter the number: "))
... | amina-wq/python-step-academy | List,dict comprehension/task10.py | task10.py | py | 452 | python | ru | code | 0 | github-code | 90 |
74197046376 | '''
Created on Jul 8, 2019
@author: Mahamat Oumar
'''
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
@login_required
def medical_professional_directory(request):
'''This view gets all the available organizations.'''
context_dict = {}
# Check whe... | hamoody-omar/Coorganate | medical_professional/views/medical_professional_directory.py | medical_professional_directory.py | py | 609 | python | en | code | 1 | github-code | 90 |
17944777319 | n,k,*L=map(int,open(0).read().split())
X=[];Y=[]
for x,y in sorted((x,y) for x,y in zip(*[iter(L)]*2)):
X.append(x)
Y.append(y)
ans=float("inf")
for i in range(n-k+1):
for j in range(i+k-1,n):
w=X[j]-X[i]
l=sorted(Y[i:j+1])
h=min(My-my for my,My in zip(l,l[k-1:]))
ans=min(ans,w*h)
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03576/s136121584.py | s136121584.py | py | 303 | python | en | code | 0 | github-code | 90 |
18421781569 | short = 10
ans = 0
for i in range(5):
n = int(input())
if short > n%10 and n%10 > 0:
short = n%10
ans += (n//10)*10
if n%10 > 0:
ans += 10
ans -= 10 if short > 0 else 0
print(ans+short)
| Aasthaengg/IBMdataset | Python_codes/p03076/s060577901.py | s060577901.py | py | 218 | python | en | code | 0 | github-code | 90 |
73139563818 | import torch
import torch.nn as nn
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
import matplotlib.pyplot as plt
import torch.nn.init as init
import functools
import torchvision
from dbpn import Net as DBPN
try:
from dcn.deform_conv import ModulatedDeformConvPack as DCN
exc... | lovepiano/SMFN_For_360VSR | modules.py | modules.py | py | 15,022 | python | en | code | 28 | github-code | 90 |
18387182789 | n=int(input())
a=list(map(int,input().split()))
a.sort()
hu=0
for b in a:
if b<0:
hu+=1
else:
break
if hu==0:
hu=1
if hu==n:
hu=n-1
ansl=[]
nowl=a[0]
for i in range(hu,n-1):
ansl.append((nowl,a[i]))
nowl-=a[i]
nowr=a[n-1]
for i in range(1,hu):
ansl.append((nowr,a[i]))
no... | Aasthaengg/IBMdataset | Python_codes/p03007/s164934991.py | s164934991.py | py | 424 | python | en | code | 0 | github-code | 90 |
20572576294 | import json
from tqdm import tqdm
class BoundingBoxProcessor:
def __init__(self, input_path, iou_threshold=0.9, validation=True):
self.input_path = input_path
self.iou_threshold = iou_threshold
self.validation = validation
self.read_data()
def read_data(self):
with ope... | AleksandrSim/strong_sort_yolox | src/strong_sort/scripts/get_moving_objects.py | get_moving_objects.py | py | 2,798 | python | en | code | 0 | github-code | 90 |
22556916736 | from pici.helpers import create_co_contributor_graph, create_commenter_graph
import pandas as pd
import scrapy
from scrapyscript import Job, Processor
import logging
import numpy as np
import json
from urllib.parse import urlparse
from pici.community import Community, CommunityFactory
class PPCommunity(Community):
... | phihes/pici | pici/communities/preciousplastic.py | preciousplastic.py | py | 3,069 | python | en | code | 1 | github-code | 90 |
41896677114 | from Xlib import X, XK
# import text
# import styles
from clipboard import copy
from constants import TARGET
from editor import open_editor, commands
pressed = set()
events = []
def event_to_string(self, event):
mods = []
if event.state & X.ShiftMask:
mods.append('Shift')
if event.state & X.... | SingularisArt/inkscape-mappings | normal.py | normal.py | py | 5,950 | python | en | code | 8 | github-code | 90 |
21065400509 | from base.selenium_driver import SeleniumDriver
from base.locators import Locators
from base.common import Common
class Candidate(SeleniumDriver):
def __init__(self, driver):
self.driver = driver
self.locators = Locators
self.common = Common(driver)
self.select_recruitment_by_id = ... | adityaTask/HRM | Pages/Recruitment/candidate.py | candidate.py | py | 1,517 | python | en | code | 0 | github-code | 90 |
41983787384 | import sys
import uproot4
import awkward1 as ak
import numpy
import math
import time
def geteta(mupx, mupy,mupz):
mup = numpy.sqrt(mupx**2 + mupy**2 + mupz**2)
mueta = numpy.log((mup + mupz)/(mup - mupz))/2
return (mueta)
def getphi(mupx, mupy):
muphi = numpy.arctan2(mupy, mupx)
return (mu... | ramankhurana/test | test.py | test.py | py | 7,153 | python | en | code | 0 | github-code | 90 |
34271307147 | import os
import requests
import random
from flask import Flask, jsonify, request
from flask_cors import CORS
from backend.blockchain.blockchain import Blockchain
from backend.wallet.wallet import Wallet
from backend.wallet.transaction import Transaction
from backend.wallet.transaction_pool import TransactionPool
fro... | jabhax/blockchain-app | python-blockchain/backend/app/__init__.py | __init__.py | py | 3,933 | python | en | code | 0 | github-code | 90 |
25336224821 | from django import forms
from django.utils.translation import gettext as _
from initialarticle.models import InitialArticle
from articlecategory.models import ArticleCategoryManager
class InitialArticleCreateForm(forms.Form):
def __init__(self, *args, **kwargs):
request = kwargs.pop('request')
s... | hayk-manukyan-dev/online-newspaper | initialarticle/forms.py | forms.py | py | 1,761 | python | en | code | 0 | github-code | 90 |
23858833620 | import torch.nn as nn
from torchvision import models
class Resnet18(nn.Module):
'''simple resnet classifier'''
def __init__(self, output_num=31):
super(Resnet18, self).__init__()
model = models.resnet18(pretrained=False)
self.conv1 = model.conv1
self.bn1 = model.bn1
se... | agil27/TCAV_PyTorch | tcav/models.py | models.py | py | 1,150 | python | en | code | 9 | github-code | 90 |
8181785472 | from django.shortcuts import render, redirect
import random
import os
import hashlib
from datetime import datetime
from django.http import HttpResponse,HttpResponseRedirect
from django.views import View
# from .models import people
from django.db import connection
def credit_check(request):
email = None
try:
... | Lyteyagami12/Django-With-Custom-SQL | daraz/checkout/checkout.py | checkout.py | py | 6,917 | python | en | code | 0 | github-code | 90 |
25292654890 | # Django settings for annotator project.
import os
PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__))
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
('Mark Wilding', 'mark.wilding@ed.ac.uk'),
)
MANAGERS = ADMINS
DATABASE_ENGINE = 'sqlite3'
DATABASE_NAME = os.path.join(PROJECT_ROOT, "sequences.db")
# Lo... | markgw/jazzparser | annotator/annotator/settings.py | settings.py | py | 2,773 | python | en | code | 5 | github-code | 90 |
15523322709 | # Python Imports
from typing import Optional, Union
# Third Party Imports
from fastapi import Depends
from sqlalchemy import func
from sqlmodel import Session, column, select
# Local Imports
from app.core import get_logger
from app.definitions.general import EmissionType, FuelType
from app.infrastructure import get_d... | Arkemix30/hack-the-future-api | app/repositories/fuel_repo.py | fuel_repo.py | py | 10,028 | python | en | code | 0 | github-code | 90 |
27087907008 | import re
import llnl.util.tty as tty
import llnl.util.multiproc as mp
from spack.architecture import OperatingSystem
from spack.util.module_cmd import get_module_cmd
class Cnl(OperatingSystem):
""" Compute Node Linux (CNL) is the operating system used for the Cray XC
series super computers. It is a very st... | matzke1/spack | lib/spack/spack/operating_systems/cnl.py | cnl.py | py | 2,542 | python | en | code | 2 | github-code | 90 |
39101627239 | class Solution:
def removeDuplicateLetters(self, s: str) -> str:
counts = collections.Counter(s)
stack = []
_set = set()
for ss in s:
counts[ss] -= 1
if ss in _set:
continue
while stack and ss < stack[-1] and counts[stack[-1]] > 0 :... | HANITZ/Algorithm | LeetCode/Medium/0316-remove-duplicate-letters/0316-remove-duplicate-letters.py | 0316-remove-duplicate-letters.py | py | 455 | python | en | code | 0 | github-code | 90 |
31711193871 | from sklearn import svm
from sklearn.model_selection import StratifiedKFold, cross_val_score
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_selection import RFECV, RFE
from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler
import matplotlib.pyplot as plt
from openpyxl imp... | sidharthgurbani/RCC_Proj | featureSelectAndClassify.py | featureSelectAndClassify.py | py | 2,870 | python | en | code | 0 | github-code | 90 |
18043424999 | import sys
input=sys.stdin.readline
h,w=map(int,input().split())
a=[]
for i in range(h):
sub=input().rstrip()
a.append(sub)
check=True
for i in range(h):
for j in range(w):
if a[i][j]=='#':
for k in range(h):
for l in range(w):
if (i>k and j<l) or (i<k... | Aasthaengg/IBMdataset | Python_codes/p03937/s325945685.py | s325945685.py | py | 475 | python | en | code | 0 | github-code | 90 |
7566856767 | import json
import time
import datetime
from utils.by_selector import Selector, standard_app_sign
def check_frontend_sign():
sign = Selector().get_frontend_sign()
if sign['sign'] == standard_app_sign['sign']:
print('MD5 检测通过，API 在掌握中')
else:
print('Warning: MD5 检测未通过，API 可能已被修改')
p... | Toby-Shi-cloud/BUAAInsignificantUtils | by_select.py | by_select.py | py | 5,542 | python | en | code | 0 | github-code | 90 |
36234189382 | import tensorflow as tf
## we will see how to declare variables and use them.
## usage of get_variable
## we will also see how declaring and initialization of variables are separate operations
## type of v1 - tensorflow.python.ops.variables.RefVariable
v1 = tf.get_variable(name = 'v1', dtype=tf.int32, shape =1)
v2... | in-tandem/deep_learning | tensorflow_learnings/tf_variables.py | tf_variables.py | py | 2,122 | python | en | code | 1 | github-code | 90 |
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