seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
70082118504 |
import os, platform, subprocess
from tempfile import TemporaryDirectory
import zipfile
import tkinter as tk
import tkinter.ttk as ttk
import tkinter.scrolledtext as scrolledtext
from tkinter import filedialog
from pdfrw import PdfReader, PdfWriter, PdfDict, PdfName
basedir = os.path.dirname(__file__)
if platform.... | gradgrind/conjoin2pdf | conjoin2pdf.py | conjoin2pdf.py | py | 8,959 | python | en | code | 0 | github-code | 36 |
3922747105 | class Node:
def __init__(self, node) -> None:
self.node = node
self.next = None
def __str__(self) -> str:
data = self
output = ""
while data:
output += str(data.node) + " "
data = data.next
return output
class LinkedList:
def __init... | carls-rodrigues/algorithms-data-structure | data-structure/linked-list/linked-list.py | linked-list.py | py | 1,335 | python | en | code | 0 | github-code | 36 |
30545276303 | import math
from .vector_math import *
import numpy as np
from time import time
# from memory_profiler import profile
icosahedron_G = 0.5*(1.0+math.sqrt(5.0))
icosahedron_b = 1.0/math.sqrt(1.0+icosahedron_G*icosahedron_G)
icosahedron_a = icosahedron_b*icosahedron_G
icosahedron_corners = (
(icosahedron_a, -icos... | skybber/fchart3 | fchart3/geodesic_grid.py | geodesic_grid.py | py | 13,070 | python | en | code | 9 | github-code | 36 |
43296629564 | """
Plain Python definition of the builtin functions oriented towards
functional programming.
"""
import operator
from __pypy__ import resizelist_hint, newlist_hint
from __pypy__ import specialized_zip_2_lists
# ____________________________________________________________
def apply(function, args=(), kwds={}):
""... | mozillazg/pypy | pypy/module/__builtin__/app_functional.py | app_functional.py | py | 10,394 | python | en | code | 430 | github-code | 36 |
31065888205 | """
What is a loop?
A loop is a sequence of statements that is repeated until a certain condition is met.
An example is a loop that prints out the numbers from 1 to 10.
"""
# There are two types of loops in Python:
# 1. For loops
# 2. While loops
# 1. For loops
"""
A for loop is used to iterate over a sequence (e... | itcentralng/python-class-july-2022 | Loops/aug17.py | aug17.py | py | 1,743 | python | en | code | 0 | github-code | 36 |
35386151944 | #!/usr/bin/env python3
from sys import exit
from multilanguage import Env, Lang, TALcolors
from TALinputs import TALinput
import pirellone_lib as pl
# METADATA OF THIS TAL_SERVICE:
args_list = [
('coding',str),
]
ENV =Env(args_list)
TAc =TALcolors(ENV)
LANG=Lang(ENV, TAc, lambda fstring: eval(f"f'{fstring}'"))
... | romeorizzi/TALight | example_problems/tutorial/pirellone/services/check_sol_driver.py | check_sol_driver.py | py | 2,395 | python | en | code | 11 | github-code | 36 |
21737129701 | #!/usr/bin/env python3
from sys import stdin, stdout, exit
from hades import db
from hades.models.event import Events
def send_help():
print('Enter to continue, d to delete, e to edit, h for help, Ctrl C/D to exit')
tables = db.engine.table_names()
for i in range(len(tables)):
table = tables[i]
curren... | adamo-in-motion/Hades | manage_events.py | manage_events.py | py | 1,535 | python | en | code | null | github-code | 36 |
73188648103 | import time
import pyautogui as pg
import userlist
import pyperclip
def log():
while True:
time.sleep(1)
print(pg.position())
def goto_tribe_room():
pg.moveTo(1075,820, 1)
pg.click()
pg.moveTo(1680, 600, 1)
pg.click()
time.sleep(3)
def execute_lua(luadata):
pg.press("Ent... | MuhammetSonmez/Transformice-Game-Crusher | main.py | main.py | py | 2,381 | python | en | code | 0 | github-code | 36 |
18968000657 | from aws_cdk import (
aws_rds as rds,
aws_ec2 as ec2,
aws_kms as kms,
core
)
class RDSStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, vpc,sg,redissg, kmskey, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
rdskey = kms.Key.from_key_arn(self,"rdskey"... | miztiik/aws | cdk/msa/rds_stack.py | rds_stack.py | py | 1,504 | python | en | code | 1 | github-code | 36 |
74060660904 | import asyncio
import contextlib
from contextlib import closing
from unittest import mock
import pytest
from server import ServerContext
from server.core import Service
from server.lobbyconnection import LobbyConnection
from server.protocol import DisconnectedError, QDataStreamProtocol
from tests.utils import exhaust... | FAForever/server | tests/integration_tests/test_servercontext.py | test_servercontext.py | py | 4,597 | python | en | code | 64 | github-code | 36 |
43731215301 | # app.py
from flask import Flask, render_template
from urls import get_urls
app = Flask(__name__)
@app.route('/')
def index():
urls = get_urls()
return render_template('index.html', urls=urls)
if __name__ == '__main__':
app.run()
| VignanBaligari234/PythonSraper | app.py | app.py | py | 245 | python | en | code | 1 | github-code | 36 |
72607742505 | #!/usr/bin/env python3
import numpy
import opt_analy
import matplotlib
import matplotlib.pyplot as plt
def plot(az_list, el_list, dx_list, dy_list, file_list, raw=True):
if raw == True:
dx_avg, dy_avg, dx_std, dy_std, *_ = opt_analy.process_static(file_list, clip_sigma=(3.,3.))
else:
az = [e ... | nanten2/necst-ros | lib/plot.py | plot.py | py | 2,582 | python | en | code | 0 | github-code | 36 |
9671349740 | #Trim a Peptide Leaderboard
AminoAcid = ['G','A','S','P','V','T','C','I','L','N','D','K','Q','E','M','H','F','R','Y','W']
AminoAcidMass = [57,71,87,97,99,101,103,113, 113,114,115,128, 128,129, 131,137,147,156,163,186]
def LinearSpectrum(peptide):
prefixMass = [0]*len(peptide)
for i in range(len(p... | benigmatic/bioinformatics | Textbook Path/ba4l.py | ba4l.py | py | 2,254 | python | en | code | 0 | github-code | 36 |
25623525939 | # the simplest solution - simply run this script at startup
# - output will go to console and alert if there is a diff
# For first run will compare with specified html file
# or create new one if nonexistant
import time
import urllib.request as ur
import sys, getopt
import os.path
from datetime import datetime
import... | alexbudy/urlDiffCheck | checkURLNoTask.py | checkURLNoTask.py | py | 4,126 | python | en | code | 0 | github-code | 36 |
35883193942 | class Complex:
def __init__(self, a, b):
"""
:param a: real part of a complex number
:param b: imaginary part of a complex number
"""
if not isinstance(a, int):
raise ValueError("a must be an integer")
if not isinstance(b, int):
raise ValueErro... | Cibu-Clara/University-Projects | Semester1/FP/A5/domain/complex.py | complex.py | py | 1,495 | python | en | code | 2 | github-code | 36 |
9710177195 | import re
from dataclasses import dataclass
from pprint import pprint
import pygame
import pyscroll
import pytmx
from random import randint, seed
from src import player
from src.player import NPC, Player
from lib_dijkstra import Point
verbose = False
# seed(1)
def groups_in_list(lst, code='X', blank=' '):
"""Fi... | bermau/PW_19_pygamon | src/map.py | map.py | py | 10,396 | python | en | code | 0 | github-code | 36 |
40137644135 | # -*- coding: utf-8 -*-
from sentiment_analysis.native_bayes_sentiment_analyzer import SentimentAnalyzer
model_path = './data/goods_bayes.pkl'
userdict_path = './data/userdict.txt'
stopword_path = './data/stopwords.txt'
analyzer = SentimentAnalyzer(model_path=model_path, stopword_path=stopword_path, userdict_path=us... | NTDXYG/ProjectsForChineseGraduates | 机器学习_贝叶斯商品评论情感分类/run_test.py | run_test.py | py | 424 | python | en | code | 104 | github-code | 36 |
40265642473 | from flask import Flask, render_template
from post import Post
from api import data
postList = []
for post in data:
postItem = Post(post['id'],post['title'], post['body'])
postList.append(postItem)
app = Flask(__name__)
@app.route('/')
def home():
return render_template("index.html", posts=postList)
@app.... | nastyc0de/python100dias | dia57/blog-templating-start/main.py | main.py | py | 548 | python | en | code | 0 | github-code | 36 |
4705717498 | #!/usr/bin/env python3
"""
project: Pythonic Card Deck
created:2021-10-19
@author:seraph
email:seraph776@gmail.com
"""
from collections import namedtuple
from random import choice
# namedtuple used to construct a simple class to represent individual cards:
Card = namedtuple('Card', ['rank', 'suit'])
class CardDeck... | rishawsingh/Hacktoberfest_2021 | code/pythonic_card_deck/pythonic_card_deck.py | pythonic_card_deck.py | py | 1,188 | python | en | code | null | github-code | 36 |
10367895809 | import youtube_dl
import os
from sys import argv
from pydub import AudioSegment
# PROCESS OF CONVERSION
def process(f):
audioIN = AudioSegment.from_file(f)
print("Processing.... " + str(f))
audioIN.export(f[:-4] + "mp3", format="mp3")
os.remove(f)
# CONFIG OF DOWNLOAD
download_config =... | ayushmanbt/MyPythonStuff | MY OWN SOFTWARES/MUSIC APP/main.py | main.py | py | 956 | python | en | code | 0 | github-code | 36 |
26336658479 | import requests
from datetime import datetime
import api_keys
now = datetime.now()
formatted_now_date = now.strftime("%d/%m/%Y")
formatted_now_time = now.time().strftime("%H:%M:%S")
exercise_ep = "https://trackapi.nutritionix.com/v2/natural/exercise"
sheety_url = "https://api.sheety.co/dd81a891f83891fcffdab1... | Zoom30/100-python | Day 38/Day 38.py | Day 38.py | py | 1,365 | python | en | code | 0 | github-code | 36 |
14566461168 | from io import BytesIO
from .models import Book
from librarian import DocProvider
from django.http import HttpResponse
class RedakcjaDocProvider(DocProvider):
"""Used for getting books' children."""
def __init__(self, publishable):
self.publishable = publishable
def by_slug(self, slug):
... | fnp/redakcja | src/documents/ebook_utils.py | ebook_utils.py | py | 937 | python | en | code | 4 | github-code | 36 |
1418943597 | #!/usr/bin/env python
# coding=utf-8
'''
Author: Yuxiang Yang
Date: 2021-08-11 10:15:36
LastEditors: Yuxiang Yang
LastEditTime: 2021-08-11 10:28:24
FilePath: /leetcode/剑指 Offer 04. 二维数组中的查找.py
Description:
在一个 n * m 的二维数组中，每一行都按照从左到右递增的顺序排序，每一列都按照从上到下递增的顺序排序。请完成一个高效的函数，输入这样的一个二维数组和一个整数，判断数组中是否含有该整数。
'''
class Solution(... | yangyuxiang1996/leetcode | 剑指 Offer 04. 二维数组中的查找.py | 剑指 Offer 04. 二维数组中的查找.py | py | 2,266 | python | en | code | 0 | github-code | 36 |
8439432123 | def mergeSortedArrays(lists):
# Write your code here.
if len(lists) == 1:
return lists
def merge_lists(l1, l2):
i, j = 0, 0
res = []
while i < len(l1) and j < len(l2):
if l1[i] < l2[j]:
res.append(l1[i])
i += 1
else:
... | kashyapa/coding-problems | educative.io/heap-related/medium-k-way-merge/merge_k_sorted_arrays.py | merge_k_sorted_arrays.py | py | 765 | python | en | code | 0 | github-code | 36 |
30665616209 | # File: pastebin_view.py
#
# Copyright (c) 2019-2023 Splunk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | splunk-soar-connectors/pastebin | pastebin_view.py | pastebin_view.py | py | 1,302 | python | en | code | 2 | github-code | 36 |
26409221229 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
'''
class Solution:
def invertTree(self, root: Optional[TreeNode]) -> Optional[TreeNode]:
def invert(root):
... | lpjjj1222/leetcode-notebook | 226. Invert Binary Tree.py | 226. Invert Binary Tree.py | py | 1,488 | python | en | code | 0 | github-code | 36 |
73949661223 | # -*- encoding:utf-8 -*-
from __future__ import absolute_import
from random import randint
from api.manager.positon_manager import add_activity_location
from commercial.models import Club, CommercialActivity
from utilities.string_utils import random_str
def create_club():
return Club.objects.create(name=random_... | fabuloust/zongzong | commercial/testing/mock.py | mock.py | py | 1,454 | python | en | code | 0 | github-code | 36 |
70640513703 | import torch
import numpy as np
class CategoriesSampler():
def __init__(self, label, n_batch, n_cls, n_per):
self.n_batch = n_batch
self.n_cls = n_cls
self.n_per = n_per
label = np.array(label)
self.m_ind = []
for i in range(max(label) + 1):
ind = np.ar... | yaoyao-liu/e3bm | dataloader/samplers.py | samplers.py | py | 880 | python | en | code | 48 | github-code | 36 |
16305876969 | import matplotlib.pyplot as plt
import geopandas
# 3D Plot
def plot3Dtrajectory(name, desc, x, y, z):
fig = plt.figure(figsize=(6,6))
ax = fig.add_subplot(111, projection = '3d')
ax.plot(x, y, z, color = 'purple', label = 'GPS', marker = '')
plt.title(name + " " + desc)
ax.set_xlabel('|X] = km'... | d33pk3rn3l/Satellite-geodesy-Exercise-1 | plotter.py | plotter.py | py | 2,117 | python | en | code | 0 | github-code | 36 |
9409618118 | """Test cases for 'Mailgun' provider module."""
import pytest
import f451_comms.constants as const
import f451_comms.providers.mailgun as mailgun
from f451_comms.exceptions import MissingAttributeError
# =========================================================
# G L O B A L S & P Y T E S T F I X T U R E S... | mlanser/f451-comms | tests/providers/test_mailgun.py | test_mailgun.py | py | 8,844 | python | en | code | 2 | github-code | 36 |
74177779624 | from aiogram import types, Dispatcher
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
async def cmd_start(message: types.Message, state: FSMContext):
await state.finish()
await message.answer(
"Начните ваш заказ (/food)!",
reply_markup=types.ReplyKeyboardR... | ARSecret/arsPython | DZ/handlers/common.py | common.py | py | 839 | python | en | code | 0 | github-code | 36 |
24447934064 | import os
from multiprocessing import Process
from pathlib import Path
from shutil import rmtree
from time import sleep
import lmdb
import pytest
import rocksdb
from rocksdb.errors import RocksIOError
class TestDBPath:
rocksdb = "test_rocksdb"
lmdb = "test_lmdb"
def print_process_info(title):
print("\n... | iconloop/kona | tests/test_multi_process_db.py | test_multi_process_db.py | py | 2,444 | python | en | code | 1 | github-code | 36 |
12179384689 | import itertools
from unittest.mock import Mock
from sukoon.kernel import SukoonKernel
def test_all():
test_data = open("test/basic.py")
test = ''
expected = ''
for line in itertools.chain(test_data, ['']):
if line.startswith('##'):
expected += line[2:].lstrip()
elif line... | hyperparameter/sukoon | test/test_run.py | test_run.py | py | 735 | python | en | code | 0 | github-code | 36 |
6751040076 | import sys
import decimal
import re
from PyQt5.QtWidgets import QDialog
from PyQt5.QtCore import Qt
import user as userdetail
from lib.utils.evalenv import evalenv
from db.models import Selfdefinedformat, Forms
from product.controllers.productcontroller import ProductController
from stuff.controllers.stuffcontroller ... | zxcvbnmz0x/gmpsystem | lib/xmlwidget/xmlread.py | xmlread.py | py | 20,355 | python | en | code | 0 | github-code | 36 |
8491486153 | from rich.table import Table
from rich.console import Console
import os
import sqlite3
from sqlite3 import Error
from colorama import Fore
from colored import fg, attr
from datetime import date, datetime
# =============================================
con = sqlite3.connect("data.db")
os.system("cls")
# ================... | erfanbanaei/ManagerBuy | main.py | main.py | py | 6,303 | python | en | code | 1 | github-code | 36 |
40661236565 | from torch import nn
import torch
from torch.nn import CrossEntropyLoss
from transformers import BertPreTrainedModel, BertConfig, BertModel
from transformers.models.bert.modeling_bert import BertOnlyMLMHead
class BertForPTuning(BertPreTrainedModel):
def __init__(self, config: BertConfig, prompt_index):
su... | zhangzhiqiangccm/NLP-project | 小样本学习/few_shot/model.py | model.py | py | 3,124 | python | en | code | 120 | github-code | 36 |
15506053954 | from flask import Flask, render_template, request, Response
import random
test_app = Flask(__name__)
@test_app.route('/')
def getRandomData():
context = {"title": "Data table test"}
data = [{ 'id': i,
'name': "test_name_{0}".format(random.randint(0,1000)),
'phone': random.randint(2308,9... | hssaka7/flask_boilerplate | datatable/app.py | app.py | py | 567 | python | en | code | 0 | github-code | 36 |
8668254189 | import re
import json
import logging
class Object: # pylint: disable=too-many-instance-attributes
def __str__(self):
return json.dumps(self, default=lambda o: o.__dict__, indent=5)
class Device(Object):
def __init__(self, uid, version, firmware):
self.namespace = 'http://www.w3.org/2001/XM... | ctera/ctera-python-sdk | cterasdk/common/object.py | object.py | py | 3,495 | python | en | code | 6 | github-code | 36 |
74946408105 | import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix, accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn import ... | Eldoov/cs677-Data-Sci.-with-Python | Final Project/boston crime/prediction.py | prediction.py | py | 4,305 | python | en | code | 0 | github-code | 36 |
74050173864 | from parlai.core.teachers import FbDeprecatedDialogTeacher, MultiTaskTeacher
from .build import build
import copy
import os
def _path(task, opt):
# Build the data if it doesn't exist.
build(opt)
suffix = ''
dt = opt['datatype'].split(':')[0]
if dt == 'train':
suffix = 'train'
elif dt ... | facebookresearch/ParlAI | parlai/tasks/cbt/agents.py | agents.py | py | 1,587 | python | en | code | 10,365 | github-code | 36 |
31727216573 | #!/usr/bin/python3
import urllib.request
import re
CONTENT="http://download.opensuse.org/tumbleweed/repo/oss/media.1/media"
APPDATA="http://download.opensuse.org/tumbleweed/repo/oss/suse/setup/descr/appdata.html"
CNT = urllib.request.urlopen(CONTENT).read().decode('utf-8')
DISTRO = re.findall("openSUSE-(........)-x8... | openSUSE/gs-stats.o.o | appstream-trend/get-snapshot-version.py | get-snapshot-version.py | py | 421 | python | en | code | 2 | github-code | 36 |
17310591965 | import sys
import io
import os
import shutil
import base64
import hashlib
from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PrivateKey
from cryptography.hazmat.primitives.asymmetric.x25519 import X25519PublicKey
from Crypto.Cipher import AES
from Crypto.Util import Counter
RANSOM_EXT = '.INC'
ENC_M... | rivitna/Malware | Inc/inc_decrypt_file.py | inc_decrypt_file.py | py | 2,858 | python | en | code | 218 | github-code | 36 |
70862243305 | from flask import Blueprint, render_template, request, redirect, url_for
import pendulum
import requests
from .static.sc.schedule import date_schedule, get_date
from . import db
from .models import User, List, ListFields
views = Blueprint('views', __name__)
@views.route('/')
def main():
return render_template('in... | eternalme0w/dvs | website/views.py | views.py | py | 2,410 | python | en | code | 0 | github-code | 36 |
15560531772 | import os
import platform
import re
import shutil
import subprocess
import unittest
import bug_reducer.swift_tools as swift_tools
@unittest.skipUnless(platform.system() == 'Darwin',
'func_bug_reducer is only available on Darwin for now')
class FuncBugReducerTestCase(unittest.TestCase):
ver... | apple/swift | utils/bug_reducer/tests/test_funcbugreducer.py | test_funcbugreducer.py | py | 4,700 | python | en | code | 64,554 | github-code | 36 |
6788250941 | from .helpers import update_or_create_badge
def create_user_badge(code, category, project, user):
log_description = 'Migration for project {}'.format(project.pk)
item = {
'name': project.name,
'date': project.start.date(),
}
update_or_create_badge(
user_from=user,
user_... | tomasgarzon/exo-services | service-exo-core/badge/project_helpers.py | project_helpers.py | py | 1,023 | python | en | code | 0 | github-code | 36 |
951007332 | pkgname = "gtkmm"
pkgver = "4.12.0"
pkgrel = 0
build_style = "meson"
make_check_wrapper = ["weston-headless-run"]
hostmakedepends = ["meson", "pkgconf", "glib-devel"]
makedepends = [
"gtk4-devel",
"cairomm-devel",
"pangomm-devel",
"gdk-pixbuf-devel",
"libepoxy-devel",
]
checkdepends = ["weston"]
pkg... | chimera-linux/cports | main/gtkmm/template.py | template.py | py | 741 | python | en | code | 119 | github-code | 36 |
27470111335 | import os
import openai
from flask import Flask, render_template, request, jsonify
from openai.error import ServiceUnavailableError, InvalidRequestError, RateLimitError
openai.api_key = os.environ.get('OPENAI_API_KEY')
app = Flask(__name__, template_folder='templates', static_folder='static')
@app.route('/')
def in... | rudotcom/flask-bot | app.py | app.py | py | 1,687 | python | en | code | 0 | github-code | 36 |
74285278824 | import sys
from magma import *
from mantle import *
from rom import ROM
from mantle.lattice.mantle40.MUX import Mux4
from mantle.lattice.mantle40.register import _RegisterName, Register
from boards.icestick import IceStick
def DefineUART (n, init=0, ce=False, r=False, s=False):
class _UART(Circuit):
"""Constr... | bjmnbraun/icestick_fastio | workdir/printf/uart.py | uart.py | py | 2,205 | python | en | code | 0 | github-code | 36 |
74575810344 | import copy
import random
from constants import *
class Game:
def __init__(self):
self.num_games = 0
self.num_wins = 0
self.num_losses = 0
self.num_draws = 0
self.num_blackjacks = 0
self.amount_played = 0
self.profit = 0
self.max_profit = 0
s... | yuc016/BlackJack_Eval | game.py | game.py | py | 10,382 | python | en | code | 1 | github-code | 36 |
39430384118 | import unittest
import pathlib
from helpers import FakeWriter, a_wait
import grole
class TestHeader(unittest.TestCase):
def test_header(self):
res = grole.Response(None, 123, 'foo', {'foo': 'bar'}, 'bar')
writer = FakeWriter()
a_wait(res._write(writer))
for line in writer.data.spl... | witchard/grole | test/test_response.py | test_response.py | py | 4,504 | python | en | code | 5 | github-code | 36 |
72962033703 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 3 23:47:45 2019
@author: LEX
"""
import time
import math
import torch
import os
import torch.onnx
from model import Languagemodel
from utils.data_utils import Vocab, Txtfile, Data2tensor, SaveloadHP, seqPAD, PAD, EOS, SOS
from utils.core_nns import RNNModel
# Load tra... | k2lexus/nlp_course | nnlm/predict.py | predict.py | py | 2,413 | python | en | code | 0 | github-code | 36 |
8468882150 | from selenium import webdriver
options = webdriver.ChromeOptions()
options.add_argument('headless')
driver = webdriver.Chrome(options=options)
#driver.get("http://www.zhgc.com/dllt_wq1/arena.asp")
driver.get("http://www.zhgc.com/dllt_wq2/arena.asp")
file_name = 'write7.txt'
#for i in range(75,217):
for i in range(13... | BabyYang2049/demo | spider/Crawler.py | Crawler.py | py | 690 | python | en | code | 0 | github-code | 36 |
33011549163 | from __future__ import division
import scipy
import setupplots
setupplots.thesis_format()
import matplotlib.pyplot as plt
plt.ion()
import sys
sys.path.insert(0, '/Users/markchilenski/src/bayesimp')
import lines
lines.read_filter_file(
'/Users/markchilenski/src/bayesimp/spectral_modeling/Be_filter_50_um.dat',
... | markchil/thesiscode | plot_xtomo_filter.py | plot_xtomo_filter.py | py | 1,117 | python | en | code | 1 | github-code | 36 |
27621176523 | def unit5_count():
try:
with open('unit5.txt', 'w+') as unit5_file:
unit5_file.write(input("Введите числа через пробел: "))
count = map(int, unit5_file.read().split())
except:
print("К сожалению, неверно указан файл")
unit5_count()
sum_all = 0
with open('unit5.txt', '... | Igorchuvaev/Python | lesson5_hw/unit5.py | unit5.py | py | 713 | python | ru | code | 0 | github-code | 36 |
6723139328 |
# To get the input from the user and count the number of even and odd
lst_size=int(input("Enter the number of elements to be added in the list:"))
lst=[]
count=1
even_count=0
odd_count=0
for i in range(lst_size):
value=int(input("Enter the value: "))
lst.append(value)
count+=1
if value%2==... | DrMahaVasanth/Assignment | _1_assign_even_odd_count_2.py | _1_assign_even_odd_count_2.py | py | 462 | python | en | code | 0 | github-code | 36 |
18355097609 | #this is the server file
from flask import Flask, render_template, request, redirect, session
import random
from datetime import datetime
app = Flask(__name__)
app.secret_key = 'keep it secret, keep it safe' # set a secret key for security purposes
@app.route('/', methods=['get']) #per instructions: Have the root ... | full-time-april-irvine/kent_hervey | flask/flask_fundamentals/ninja-gold/ninja_gold.py | ninja_gold.py | py | 2,924 | python | en | code | 0 | github-code | 36 |
34082922202 | import sys
from api.hh_api import HeadHunterAPI
from config import EMPLOYEERS_VACANCY_ID
from database.db_manager import DBManager
from app.mixin_menu_app import MixinMenuAPP
from utils.сurrency_сonverter import get_currency_data
from app.job_search_meta import JobSearchAppMeta
from utils.loading_progress import show_... | AndreyAgeew/skypro-course_work_5 | app/job_search_app.py | job_search_app.py | py | 6,996 | python | ru | code | 0 | github-code | 36 |
3511368259 | import itertools
digits = [ x for x in range(10) ]
i = 0
for x in itertools.permutations(digits):
i += 1
if i == 1000000:
print(x)
break
for c in x:
print(c,end="")
| PetraVidnerova/euler | 24.py | 24.py | py | 200 | python | en | code | 0 | github-code | 36 |
40209432333 | import csv
import numpy as np
from pymc import Gamma, Normal, NoncentralT, Binomial, Uniform, invlogit, logit, deterministic, stochastic
### SETUP
# counts_pos, counts_total, batch_id, plate_id, row, col, treatment
rows = [tuple(row) for row in csv.reader(open('nephrine_fracs.csv'))]
pos_counts, total_counts, batch_id... | thouis/works-in-progress | hierscore/nephrine_frac.py | nephrine_frac.py | py | 3,924 | python | en | code | 0 | github-code | 36 |
36586957185 | n = int(input())
i = 2
while n != 1:
if n % i == 0:
n /= i
print(i)
else:
i += 1
# 시간초과
# import math
# n = int(input())
# a = []
# b = []
# # 소수 판별
# def prime(x):
# for i in range(2, int(math.sqrt(x)) + 1):
# if x % i == 0:
# return False
# return True
... | meatsby/algorithm | boj/11653.py | 11653.py | py | 471 | python | en | code | 0 | github-code | 36 |
14656210330 | from random import choice
from faker import Faker
bank_names_fr = [
"Banque CIBC",
"BMO Banque de Montréal",
"Banque Desjardins",
"Banque HSBC Canada",
"Banque Laurentienne du Canada",
"Banque Nationale du Canada",
"Banque Royale du Canada",
"Banque Scotia",
"Banque TD Canada Trust... | GRAAL-Research/risc | risc_generator/faker/contract_faker/financing_faker.py | financing_faker.py | py | 1,559 | python | en | code | 3 | github-code | 36 |
39978019698 | import argparse
import numpy as np
import pandas as pd
import io_tools
BASE_TIMESTEP = 10
MAX_TIMESTEP = 120
parser = argparse.ArgumentParser(description="Reduce displacement data for remote processing.")
parser.add_argument("disp_file", help="displacements file")
parser.add_argument("outfile", help="output file")
... | rohan-hitchcock/tcells-portfolio | track_analysis/reduce_data.py | reduce_data.py | py | 575 | python | en | code | 0 | github-code | 36 |
18824545650 | import weibull
# fail times include no censored data
fail_times = [
9402.7,
6082.4,
13367.2,
10644.6,
8632.0,
3043.4,
12860.2,
1034.5,
2550.9,
3637.1
]
# this is where the actual analysis and curve fitting occur
analysis = weibull.Analysis(fail_times, unit='hour')
analysis.fit... | slightlynybbled/weibull_orig | examples/weibull_fit.py | weibull_fit.py | py | 604 | python | en | code | null | github-code | 36 |
74222814823 | #!/usr/bin/env python3
import yaml
import rospy
import os
from uav_abstraction_layer.srv import TakeOff, GoToWaypoint, Land
from geometry_msgs.msg import PoseStamped
class WayPointTracker:
def __init__(self):
self.uav_namespace = rospy.get_param("~uav_namespace", "")
self.file_path = rospy.get_par... | AntoineRichard/sesame_ul_uavs | src/simple_mission.py | simple_mission.py | py | 4,141 | python | en | code | 0 | github-code | 36 |
74330818023 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from enigma import eInputDeviceManager, eTimer
from Screens.Screen import Screen
from Screens.Rc import Rc
from Components.Sources.List import List
from Components.ActionMap import ActionMap
from Components.config import config
from Components.Sources.Stat... | opendreambox/enigma2 | usr/lib/enigma2/python/Plugins/SystemPlugins/InputDeviceManager/InputDeviceIRProg.py | InputDeviceIRProg.py | py | 6,801 | python | en | code | 1 | github-code | 36 |
37208304076 | #!/usr/bin/env python3.6
import os, sys
import yaml
from lmfit import Model
from lmfit.models import GaussianModel
from lmfit.model import save_modelresult
from lmfit.model import load_modelresult
from reproject import reproject_exact
from astropy.io import ascii, fits
from astropy.table import Table, Column
import... | Fil8/GuFo | scavengers/momPlay.py | momPlay.py | py | 52,897 | python | en | code | 0 | github-code | 36 |
25046359532 | import numpy as np
def sensitivity_specificity():
output_matrix = np.loadtxt(open("Outcome/outcome_CT_clinical_BMD.csv", "rb"), delimiter=",", skiprows=0)
threshold = 0.5
TP = FN = TN = FP = 0
for i in range(output_matrix.shape[0]): # output_matrix: participant ID, fracture probability, label... | Saint-Luther-AI/Fracture-Discrimination | metrics.py | metrics.py | py | 2,543 | python | en | code | 0 | github-code | 36 |
70165426985 | """
Created by: Rafal Uzarowicz
Date of creation: 27.03.2020
Github: https://github.com/RafalUzarowicz
"""
import unittest
from src.path_search_algo import dijkstra, brute_force
from src.graph import Graph
class TestPathSearchAlgorithms(unittest.TestCase):
def test_dijkstra(self):
graph = Gr... | jsokolowska/ant-colony | unit-tests/path_search_algorithm_test.py | path_search_algorithm_test.py | py | 1,164 | python | en | code | 0 | github-code | 36 |
11162715396 | import threading
class KeyboardThread(threading.Thread):
def __init__(self, on_input, name = 'keyboard-input-thread'):
self._on_input = on_input
super(KeyboardThread, self).__init__(name=name)
self.setDaemon(True)
self.start()
def run(self):
while not self._on_input(input()):
True
| lophtware/UsbCPic32Breakout | src/examples/pong/python/keyboard.py | keyboard.py | py | 299 | python | en | code | 2 | github-code | 36 |
30329681031 | import scrapy
# TF-IDF
# import StemmerFactory class
from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
from math import log10
# create stemmer
factory = StemmerFactory()
stemmer = factory.create_stemmer()
class QuotesSpider(scrapy.Spider):
name = "tubes_novel5"
def start_requests(se... | VicinthiaVS/Tugas-Besar-Scrapy-2014321018-Pagi-Ubhara-Surabaya | soal3/tubes_novel/spiders/novel5.py | novel5.py | py | 3,112 | python | en | code | 0 | github-code | 36 |
34744522317 | #website compile
doctype = "html"
lang = "en-US"
author = "Angelo Carrabba"
self.keywords = []
spacing = 0
class webPage():
def __init__(self):
self.pageName = ""
self.title = ""
self.styleSheets = []
self.scripts = []
self.description = ""
self.menu = ""
def p... | acarrab/acarrab.github.io | OldWebsite/old/script.py | script.py | py | 802 | python | en | code | 0 | github-code | 36 |
12626648363 | # 1. Реализовать функцию, принимающую два числа (позиционные аргументы) и выполняющую их деление.
# Числа запрашивать у пользователя, предусмотреть обработку ситуации деления на ноль.
def division(a, b):
try:
a, b = float(a), float(b)
result = a / b
except ZeroDivisionError:
print("Знач... | AlexProsku/HW_Python | Lesson_3/task_1.py | task_1.py | py | 1,116 | python | ru | code | 0 | github-code | 36 |
11370141393 | import torch
import numpy as np
from ml.modules.losses.ordinal_regression_loss import OrdinalRegressionLoss
config_path = '../config/config_files/kitti_base.yaml'
ord_num = 90
gamma = -0.97
beta = 90
config = load_config(config_path)
config['model']['params']['discretization'] = "SID"
ordinal_regression_loss = Ordi... | gregiberri/DepthPrediction | measuring_scripts/min_error_with_dorn.py | min_error_with_dorn.py | py | 1,138 | python | en | code | 0 | github-code | 36 |
25622745933 | from sqlalchemy import Column, ForeignKey, String, DateTime, Boolean, Enum
from sqlalchemy import func, exc
from sqlalchemy.dialects.postgresql import UUID
from uuid import uuid4
from .. import db
from enum import Enum
from datetime import datetime
#? https://stackoverflow.com/questions/33612625/how-to-model-enums-bac... | SpiritDeveloper/multi-translados-backend | src/multi/model/extra_expenses.py | extra_expenses.py | py | 2,977 | python | en | code | 0 | github-code | 36 |
22868454772 | import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from datetime import datetime # Config file purpose
options = Options()
options.add_argument("--incognito")
options.add_argument("--window-size=1920x1080")
# Driver path
driver = webdriver.Chrome(opt... | chois11/7071CEM-R | resources/crawler/layer_three.py | layer_three.py | py | 4,885 | python | en | code | 0 | github-code | 36 |
36934201214 | import os
import sys
if sys.platform[:4] == "java": # Jython
import uk.ac.cam.ch.wwmm.opsin as opsin
else: # CPython
import jpype
if not jpype.isJVMStarted():
_jvm = os.environ['JPYPE_JVM']
if _jvm[0] == '"': # Handle trailing quotes
_jvm = _jvm[1:-1]
_cp = os.environ['C... | cinfony/cinfony | cinfony/opsin.py | opsin.py | py | 3,688 | python | en | code | 82 | github-code | 36 |
7061035673 | from microbit import *
power_on = False
while True:
if button_a.was_pressed():
power_on = True
if button_b.was_pressed():
display.clear()
power_on = False
if power_on:
x_accel = accelerometer.get_x()
if x_accel < 0:
display.show('-... | ceucomputing/olevel-microbit | pendulum_template.py | pendulum_template.py | py | 423 | python | en | code | 0 | github-code | 36 |
586835230 | # Residual block architecture
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
import pdb
class ConvLayer(nn.Module):
def __init__(self, in_channels, out_channels, sn, kernel_size, stride):
super(ConvLayer, self).__init__()
padding = (ke... | trainsn/TSR-TVD | model/basicblock.py | basicblock.py | py | 7,192 | python | en | code | 1 | github-code | 36 |
74647038823 | import os
import networkx as nx
from networkx.drawing.nx_agraph import write_dot
from tree_parser.parser import DependencyParser
_path = os.path.dirname(__file__)
_save_filename = os.path.join(_path, '../data/tree_parser.model')
_text = """
In nuclear physics, the island of stability is a predicted set of isotopes... | fractalego/tree_parser | tree_parser/predict.py | predict.py | py | 781 | python | en | code | 2 | github-code | 36 |
71920473385 | from pathlib import Path
import requests
import json
# user is the name of the user
# type is either "ANIME" or "MANGA"
def get_list(user, type = "ANIME", queries = None):
if queries is None: queries = load_queries()
variables = {
'name': user,
'type': type
}
url = 'https://graphql.anil... | em-ilia/anilist-sync | anilist.py | anilist.py | py | 1,062 | python | en | code | 0 | github-code | 36 |
74080161383 | from pwn import *
context.terminal=['tmux', 'splitw', '-h']
#r = process('./solo_test')
r = remote('115.68.235.72', 1337)
e = ELF('./solo_test')
puts_plt = e.plt['puts']
puts_got = e.got['puts']
read_plt = e.plt['read']
read_got = e.got['read']
pr = 0x400b83
ret = 0x4005f1
start = 0x4006a0
system_offset = 0x30cf0
bi... | e10dev/study | xmasctf/solo_test.py | solo_test.py | py | 1,391 | python | en | code | 0 | github-code | 36 |
70440969063 | def arrSum(a, sum):
start = 0
n = len(a)
curr_sum = a[0]
i = 1
count = 0
while i <= n:
while curr_sum > sum and start < i - 1:
curr_sum -= a[start]
start += 1
if curr_sum == sum:
print(start, i-1)
# Count number of continuous sub-ar... | CoderKn1ght/GeekforGeeksPractice | count_subarrays_with_sum.py | count_subarrays_with_sum.py | py | 500 | python | en | code | 0 | github-code | 36 |
23522576847 | """
Multilayer perceptron for cycloid and Lorenz attractor.
"Eugene Morozov"<Eugene ~at~ HiEugene.com>
"""
import matplotlib.pyplot as plt
import torch.nn
import torch.nn as nn
import torch.optim as optim
import scipy.linalg
from scipy.integrate import odeint
from util import *
v = 1
epoch_sec = 1 # int(time.time())... | eugegit/examples | nn_cycloid.py | nn_cycloid.py | py | 21,540 | python | en | code | 1 | github-code | 36 |
40745506193 | import json
import os
import torch
import torch.nn as nn
import pandas as pd
import argparse
from test import test
from src.dataset import create_dataloader
from src.utils import (
read_feature,
feature_extraction_pipeline,
read_features_files,
choose_model,
)
from src.data_augmentation import Mixup, Sp... | rafaelgreca/ser-wavelet | train.py | train.py | py | 16,934 | python | en | code | 0 | github-code | 36 |
24391185825 | from flask import Blueprint, request, jsonify
import pandas as pd
import requests
import mysql.connector as connection
db = connection.connect(host='database-midway.cnjonpzevrxo.us-east-1.rds.amazonaws.com',user='admin', password='root1234', database= 'midway')
search_bp = Blueprint('search', __name__)
@search_bp.... | KavindaDharmasiri/midway-backend | search.py | search.py | py | 2,244 | python | en | code | 0 | github-code | 36 |
37410651261 | def copy_file(file_name="", copy_name=None):
try:
input_file = open(file_name, "r")
except FileNotFoundError:
print("Не удалось открыть входной файл!")
return False
if copy_name is None:
file_number = 1
while True:
try:
list_directory = fi... | kbuhantsev/python_home_work | ДЗ/ДЗ_3/ДЗ3_2.py | ДЗ3_2.py | py | 1,277 | python | en | code | 0 | github-code | 36 |
42672390948 | import logging
class LoggingService:
def __init__(self, name) -> None:
self.logger = logging.getLogger(name)
self.handler = logging.StreamHandler()
self.formatter = logging.Formatter(
'%(asctime)s [%(name)-12s] %(levelname)-8s %(message)s')
self.handler.setFormat... | team-ananas-og-mango/SaxoStockService | saxo_stock_service/loggingservice.py | loggingservice.py | py | 429 | python | en | code | 1 | github-code | 36 |
37402893297 | from regression_tests import *
class Test(Test):
settings = TestSettings(
tool='fileinfo',
input=[
'87d55c52d358adb705d0b58f478a3e555acf76b7ba79f9eea6353d18cef558ca',
'db23546116825fe5fd43210e3f2595cd675eab72e2f900df4a2b6756737379c0'
],
args='--json'
)
... | avast/retdec-regression-tests | tools/fileinfo/detection/installers/astrum/test.py | test.py | py | 661 | python | en | code | 11 | github-code | 36 |
36693637201 | ### tree(union_find, trie 등)
# def BOJ1976(): # 여행가자 (https://www.acmicpc.net/submit/1976/28363407)
# import sys
# from collections import defaultdict
# n = int(input()) # 도시 개수
# m = int(input()) # 방문 도시 개수
# link = [list(map(int,sys.... | Incheol-Shine/daily_coding_test | tree.py | tree.py | py | 3,808 | python | ko | code | 0 | github-code | 36 |
7950602535 | import discord
from discord.ext import commands
try:
import cPickle as pickle
except ImportError:
import pickle
def loadPickle(file : str):
with open(file, 'rb') as f:
data = pickle.load(f)
return data
def dumpPickle(data, file : str):
with open(file, 'wb') as f:
pick... | nath1100/Kamikaze-Bot | cogs/utilities/tools.py | tools.py | py | 1,198 | python | en | code | 1 | github-code | 36 |
15296344179 | n = int(input())
numbers = [int(i) for i in input().split()]
sum1 = 0
sum2 = 0
turn = 0
last = n
for x in range(n):
if numbers[0] > numbers[last-1]:
max = numbers[0]
numbers.remove(numbers[0])
else:
max = numbers[last-1]
numbers.remove(numbers[last-1])
last-=1
if turn == ... | maci2233/Competitive_programming | CodeForces/A/381a.py | 381a.py | py | 439 | python | en | code | 1 | github-code | 36 |
70441939623 | '''
Summary - Attempt #1
Your own answer?: Yes
Time spent: 45m
Time Complexity: O(N) for all opeartions
Runtime: 170 ms, faster than 78.69% of Python3 online submissions for Implement Trie (Prefix Tree).
Space Complexity: O(N) for insert and O(1) for search and startsWith
Memory Usage: 27.8 MB, less than 91.49% of P... | cjy13753/algo-solutions | leetcode/solution_208.py | solution_208.py | py | 1,405 | python | en | code | 0 | github-code | 36 |
74698894504 | import hashlib
import datetime
from fastapi import UploadFile
from motor.motor_asyncio import AsyncIOMotorClient
from config import settings
from models import UploadPhoto, UploadUser, Photo
def Hash(string: str):
hash = hashlib.sha256(string.encode('utf-8')).digest().decode('utf-8')
return hash
class DB:
... | NIDILLIN/Kathrin | Microservices/Photos(1405)/db.py | db.py | py | 1,762 | python | en | code | 0 | github-code | 36 |
1075971281 | import segmentation_models as sm
import numpy as np
import visualize
from unet.config import Config
from tensorflow import keras
class Inference:
def __init__(self, config=None):
if config is None:
config = Config() # Use default configuration
self.model = sm.Unet(config.BACKBONE, cla... | Malandru/multiclass_segmentation | unet/inference.py | inference.py | py | 2,044 | python | en | code | 0 | github-code | 36 |
37458237517 | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
plt.rcParams['font.size'] = 14
M = 15
k = 2
c = 5
ν = c / M
ω = k / M
def f(u, t, ν, ω):
"""
u: [x,v]
δu/δt = f(u) = [δx/δt, δv/δt] = [v, a]
1) Ma + kv + cx = 0
2) Ma = -kv - cx
3) let ν = c/M; ω=k/m
... | lbrichards/asaka | mass_spring.py | mass_spring.py | py | 1,890 | python | en | code | 2 | github-code | 36 |
33780162767 | from flask import Flask, render_template, session
from flask_session import Session
from app.api.controllers import api
from logging.handlers import TimedRotatingFileHandler
import config, logging
app = Flask(__name__, static_folder="static")
app.config.from_object("config")
app.config['JSON_AS_ASCII'] = False
app.c... | pachecobeto95/IC | SensingBusV2/webapi/app/__init__.py | __init__.py | py | 712 | python | en | code | 0 | github-code | 36 |
9224374025 | import numpy as np
import random
import pandas as pd
distance = set()
while len(distance)< 100:
random_float = random.uniform(0,15)
distance.add(random_float)
distance_list = list(distance)
size = []
for i in range(100):
random_int = random.randint(45,150)
size.append(random_int)
distance_value ... | Cagla-CAGLAYAN/rentPredictor | prediction.py | prediction.py | py | 1,357 | python | en | code | 1 | github-code | 36 |
31062436935 |
from ..utils import Object
class BankCardInfo(Object):
"""
Information about a bank card
Attributes:
ID (:obj:`str`): ``BankCardInfo``
Args:
title (:obj:`str`):
Title of the bank card description
actions (List of :class:`telegram.api.types.bankCardActionOpenUr... | iTeam-co/pytglib | pytglib/api/types/bank_card_info.py | bank_card_info.py | py | 865 | python | en | code | 20 | github-code | 36 |
29398889822 | from robodk.robolink import * # RoboDK API
from robodk.robomath import *
RDK = Robolink()
def cleanup(objects, startswith="Part "):
"""Deletes all objects where the name starts with "startswith", from the provided list of objects."""
for item in objects:
if item.Name().startswith(startswith):
... | SistemasEmbebidos2020/Practica5_2022 | Eliminarobjetos.py | Eliminarobjetos.py | py | 593 | python | en | code | null | github-code | 36 |
4578609455 | from itertools import combinations
n,k = [int(x) for x in input().split()]
work = {} #work เก็บงานของอุปกรณ์
price = {} #price เก็บราคาของอุปกรณ์
for i in range(n):
data = [int(x) for x in input().split()]
work[i] =set([j-1 for j in range(1,k+1) if data[j] == 1])
price[i] = data[0]
check = set([i for i in... | naphattar/Betaprogramming | Chapter 1/1036.ver2.py | 1036.ver2.py | py | 860 | python | en | code | 0 | github-code | 36 |
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