content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!/bin/env python
# Automatically translated python version of
# OpenSceneGraph example program "osgcallback"
# !!! This program will need manual tuning before it will work. !!!
import sys
from osgpypp import osg
from osgpypp import osgDB
from osgpypp import osgGA
from osgpypp import osgUtil
from osgpypp import osg... | [
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#!/usr/bin/env python
#-*- coding: UTF-8 -*-
import sys
import uuid
import logging; logger = logging.getLogger("underworlds.model_loader")
try:
from pyassimp import core as pyassimp
from pyassimp.postprocess import *
except BaseException as ae:
logger.error("pyassimp could not be loaded: %s" % ae)
pa... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : tql-Python.
# @File : XGBOptimizer
# @Time : 2019-09-16 11:58
# @Author : yuanjie
# @Email : yuanjie@xiaomi.com
# @Software : PyCharm
# @Description :
import numpy as np
import catboost
from catboost import CatBoostClassi... | [
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### Biggest 2 digit palindrome is 9009
### Just brute force
### palidrome is when a string is the same both ways
# checks if the number is a palidrome
# Computers are fast, so we can implement this solution directly without any clever math.
ans = efficient_answer()
print(ans) | [
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from django.db import models
from django.utils.text import slugify
from mptt.models import MPTTModel, TreeForeignKey
class Skill(MPTTModel):
"""Skill terms tree model, eg. Categories"""
name = models.CharField(max_length=200)
slug = models.SlugField(unique=True)
parent = TreeForeignKey(
"self... | [
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import fs.s3fs
import os, ast
if db._dbname=='sqlite':
sqlite_tf=True
else:
sqlite_tf=False
# try:
## see if you can acces the heroku environment variables
myfs = fs.s3fs.S3FS('threemusesglass','site_images',os.environ['AWS_ACCESS_KEY_ID'], os.environ['AWS_SECRET_ACCESS_KEY'])
# ## what exception exactly?
# exce... | [
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#!/usr/bin/env python
"""Testing seq_tools.py"""
########################################################################
# File: seq_tools_test.py
# executable: seq_tools_test.py
#
# Author: Andrew Bailey
# History: 02/15/18 Created
########################################################################
import os
i... | [
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"""
services.tasks
==============
This is the main runner of the background application.
Celery Tasks - this handles all the required tether tasks - (check triggers -> applies action where necessary)
"""
from __future__ import absolute_import
from celery import shared_task
@shared_task
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import ply.lex as lex
from grease.core.indents import Indents
reserved = {
'var': 'VAR',
'if': 'IF',
'else': 'ELSE',
'scan': 'SCAN',
'print': 'PRINT',
'and': 'AND',
'or': 'OR',
'Bool': 'BOOL',
'Int': 'INT',
'Float': 'FLOAT',
'Char': 'CHAR',
'fn': 'FN',
'interface': '... | [
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""" Test Utilities
* :py:class:`FileSystemTestCase`: Integration test with a temp directory
"""
# Imports
import unittest
import tempfile
import pathlib
# Test Helpers
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from aws_cdk import (
core,
aws_lambda as _lambda,
aws_iam as iam,
aws_elasticloadbalancingv2 as elb,
aws_elasticloadbalancingv2_targets as _targets,
aws_ec2 as ec2,
)
import time | [
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"""Kata url: https://www.codewars.com/kata/5388f0e00b24c5635e000fc6."""
from typing import List
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from __future__ import with_statement
import os
import pytz
import subprocess
import sys
_cache_tz = None
if sys.version_info[0] == 2:
else:
from subprocess import Popen
def get_localzone():
"""Get the computers configured local timezone, if any."""
global _cache_tz
if _cache_tz is None:
_... | [
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FOOD_CONSUMPTION = 'food_consumption_indicators'
| [
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# Copyright 2008-2018 Univa Corporation
#
# 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 required by applicable law or agreed to in... | [
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import KratosMultiphysics
import KratosMultiphysics.HDF5Application as KratosHDF5
from KratosMultiphysics.HDF5Application import core
from KratosMultiphysics.HDF5Application.core import operations, file_io
import KratosMultiphysics.KratosUnittest as KratosUnittest
from KratosMultiphysics.HDF5Application.core.utils impo... | [
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"""bla"""
# pylint: disable=no-absolute-import
from ..n.non import non_init_parent_called
__revision__ = 'yo'
class Aaaa(non_init_parent_called.AAAA): # [too-few-public-methods]
"""test dotted name in ancestors"""
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Envía un mail en texto plano desde la línea de comandos o desde un script de
python. Usa un archivo de configuración para tomar un usuario y password
defaults, pero pueden pasarse como argumentos a la función.
Example:
python send_email.py "Hola mundo!" other_email... | [
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39... | 2.502475 | 404 |
from flask_restful import Api
from App.api.user_login import LoginModel
api = Api()
# 例子
api.add_resource(LoginModel, '/user/')
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... | 2.588235 | 51 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
if True:
print("True")
else:
print("False")
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import sys
import numpy as np
import pandas as pd
import sqlite3
import pickle
# NLTKs
import nltk
nltk.download(['punkt', 'wordnet', 'stopwords', 'averaged_perceptron_tagger'])
import re
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
# Scikit... | [
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# encoding=utf-8
import os
import unittest
import tempfile
from pyparsing import ParseException
from jsgf import *
from jsgf.parser import parse_expansion_string, parse_rule_string
class ValidGrammarTests(unittest.TestCase):
"""
Tests for valid_grammar function.
"""
def test_no_header(self):
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6... | 2.072848 | 1,208 |
#!/usr/bin/env python3
from goalee import Target, RedisMiddleware
from goalee.area_goals import RectangleAreaGoal, CircularAreaGoal
from goalee.types import Point
if __name__ == '__main__':
middleware = RedisMiddleware()
t = Target(middleware)
g1 = RectangleAreaGoal(topic='robot.pose',
... | [
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from django.urls import path, include
from . import api
apipatterns = [
path(r'', api.index, name='ara-unsecret-api'),
path(r'rununsecretquery', api.runara, name='ara-unsecret-runquery')
]
urlpatterns = [
path(r'api/', include(apipatterns)),
]
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import textract
from textract.exceptions import ExtensionNotSupported
from image_classify import classify_image
from pathutils import is_img | [
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# Podemos tener diferentes tipos de datos
# El primer tipo de datos es booleano
# Que toma valores entre True y False
boleano = True
print(f'El valor de mi variable boleano es {boleano}')
# Los numeros se pueden representar como int o float
entero = 10
print(f'El valor de mi variable "entero" es {entero}')
flotante ... | [
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... | 2.428571 | 658 |
import datetime
from django.contrib.auth.models import User
from django.db import models
from mentoring.util import generate_confirmation_token
genders = (
('a', 'Agender'),
('c', 'Cisgender'),
('m', 'Male'),
('n', 'Non-binary'),
('t', 'Transgender'),
('f', 'Female'),
('l', 'Another gende... | [
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... | 2.239645 | 676 |
import pyxel
BORDER_OFFSETS = [(-1, 0), (1, 0), (0, -1), (0, 1)]
BG_COLOR = 5
pyxel.init(223, 92, title="Offscreen Rendering")
pyxel.load("assets/offscreen.pyxres")
blt_figure = make_blt_figure()
bltm_figure = make_bltm_figure()
while True:
if pyxel.btnp(pyxel.KEY_Q):
pyxel.quit()
figure = blt_... | [
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628... | 2.143519 | 216 |
import logging
from unittest import TestCase
import pytest
from foxylib.tools.log.foxylib_logger import FoxylibLogger
| [
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] | 3.102564 | 39 |
from flask import (
Flask,
render_template,
redirect,
flash,
url_for,
session
)
from datetime import timedelta
from sqlalchemy.exc import (
IntegrityError,
DataError,
DatabaseError,
InterfaceError,
InvalidRequestError,
)
from werkzeug.routing import BuildError
from flask_b... | [
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... | 2.740642 | 374 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
__author__ = 'maxim'
import numpy as np
import gensim
import string
from keras.callbacks import LambdaCallback
from keras.layers.recurrent import LSTM
from keras.layers.embeddings import Embedding
from keras.layers import Dense, Act... | [
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# -*- coding: utf-8 -*-
#
# michael a.g. aïvázis
# orthologue
# (c) 1998-2021 all rights reserved
#
# the framework
import pyre
# externals
import sys
import subprocess
# my superclass
from pyre.shells.Script import Script
# declaration
class Launcher(Script, family="mpi.shells.mpirun"):
"""
Encapsulation o... | [
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2,
... | 2.455465 | 2,077 |
import os
import logging
import ast
# log_level = os.getenv("LOG_LEVEL", "INFO")
log_level = "INFO"
logging.basicConfig(format='%(asctime)s - %(levelname)s: %(message)s', level=log_level)
URL_BLACKLIST = ast.literal_eval(os.getenv("URL_BLACKLIST", ""))
logging.info("URL_BLACKLIST: {}".format(URL_BLACKLIST))
SLACK_TO... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license, see LICENSE.
"""
Tests for the skhep.math.geometry module.
"""
# -----------------------------------------------------------------------------
# Import statements
# -------------------------------------------------------------... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# File : mmbt.py
# Author : Pranava Madhyastha <pranava@imperial.ac.uk>
# Date : 01.11.2020
# Last Modified Date: 09.11.2021
# Last Modified By : Pranava Madhyastha <pranava@imperial.ac.uk>
#
# Copyright (c) 2020, Imperial College, Lon... | [
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... | 3.201878 | 639 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# 程序入口文件，通过entry_point函数作为程序入口，接入程序主逻辑
# 然后通过命令行接口解析命令行参数，形成不同的入口分支
import os
import six
import click
from importlib import import_module
from bwtougu.utils.click_helper import Date
from bwtougu.utils.config import parse_config, dump_config
CONTEXT_SETTINGS={
'defa... | [
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... | 2.190279 | 1,687 |
import pyqtgraph as pg
from software.thunderscope.field.field_layer import FieldLayer
class Field(pg.PlotWidget):
"""Wrapper to handle Field Layers"""
def keyPressEvent(self, event):
"""Propagate keypress event to all field layers
:param event: The event
"""
... | [
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2848... | 2.311579 | 475 |
import logging
from http import HTTPStatus
from starlette.requests import Request
from starlette.exceptions import HTTPException
from .conf import TemplateResponse
logger = logging.getLogger("app_server")
_http_error_status = tuple(e for e in HTTPStatus if e.value >= 400)
| [
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189... | 3.693333 | 75 |
# Programação Orientada a Objetos
# AC01 ADS-EaD - Números especiais
#
# Email Impacta: bianca.yabiku@aluno.faculdadeimpacta.com.br
def lista_armstrong(n):
"""Função que lista os números e Armstrong até n
Recebe um número natural n e retorna uma lista com todos o
números de Armstrong estrit... | [
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2,
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64,
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13,
8... | 2.059686 | 955 |
from vema import Page
| [
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1330,
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201,
198,
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198
] | 2.777778 | 9 |
"""
===============================
qprof.file_formats.preprocessor
===============================
This module provides an interface class to read GPROF preprocessor files.
"""
import logging
from datetime import datetime
import re
import numpy as np
import xarray
from qprof.file_formats import retrieval
from pathl... | [
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... | 2.104059 | 5,814 |
# import numpy as np
# import pandas as pd
# from footings.model import model, step
#
# from ..assumptions.stat_gaap.interest import get_interest_rate
# from ..shared import param_n_simulations, param_seed
# from .disabled_deterministic_base import DValBasePMD
#
# OUTPUT_COLS = [
# "MODEL_VERSION",
# "LAST_COMM... | [
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944... | 1.90874 | 2,071 |
from dragonfly import Key,MappingRule, Dictation, Choice,Text
from castervoice.lib.merge.state.short import R
from castervoice.lib.merge.additions import IntegerRef
from castervoice.lib.ctrl.mgr.rule_details import RuleDetails
| [
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'''input
1000000000 1000000000 1000000000
999999664
2 3 4
24
'''
# -*- coding: utf-8 -*-
# AtCoder Beginner Contest
# Problem B
if __name__ == '__main__':
a, b, c = list(map(int, input().split()))
print((a * b * c) % (10 ** 9 + 7))
| [
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... | 2.096 | 125 |
# SPDX-License-Identifier: Apache-2.0
# -----------------------------------------------------------------------------
# Copyright 2020 Arm Limited
#
# 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... | [
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345... | 3.559459 | 370 |
import logging
import time
from jiminy import pyprofile, vectorized
logger = logging.getLogger(__name__)
class Timer(vectorized.Wrapper):
"""
Calculate how much time was spent actually doing work. Display result
via pyprofile.
"""
| [
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"""Ce fichier permet la transformation en html dans le style du site\
des données de synthese chantier dans le but de laisser\
a l'utilisateur la possibilité de rentrer les restes a dépenser."""
# from .postes_chantier import *
# from pandas import Index
from .date import get_month_name
HTML_HEAD = (
... | [
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8591... | 2.363071 | 482 |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2020 Fetch.AI Limited
#
# 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 ... | [
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3... | 2.474608 | 2,166 |
def get_training_data():
"""get training data from train.csv
"""
with open('../data/train.csv') as train_file:
return train_file.read()
| [
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... | 2.644068 | 59 |
import unittest
from Cython import StringIOTree as stringtree
code = """
cdef int spam # line 1
cdef ham():
a = 1
b = 2
c = 3
d = 4
def eggs():
pass
cpdef bacon():
print spam
print 'scotch'
print 'tea?'
print 'or coffee?' # line 16
"""
linemap = dict(... | [
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... | 2.127273 | 165 |
from django.utils import timezone
from django.db.models import Q
from datetime import datetime, date
from core.general.appinit import app_init
from core.general.exceptions import SIDException
from core.general import settings
import ast
def extract_csv():
"""
main function
"""
app_init()
fr... | [
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... | 2.367263 | 727 |
from functools import wraps
from webserver import bgecko
from flask import redirect, flash
| [
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198
] | 4.136364 | 22 |
import requests
import json
import re
import ast
import adal
from utilities.models import ConnectionInfo
from infrastructure.models import CustomField
'''
From Azure AD, grant application API access to Microsoft graph - Application permission ->
Grant DirectoryReadAll and DirectoryReadWriteAll
'''
CI = ConnectionInfo... | [
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# -*- coding: utf-8 -*-
import sys
import pytest
from textdata.eval import evaluation
_PY2 = sys.version_info[0] == 2
_PY26 = sys.version_info[:2] == (2, 6)
| [
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... | 2.319444 | 72 |
import sys
from getpass import getpass
import keyring
from coinbase_api.api import CoinbaseApi
from mint.api import MintApi
from robinhood.api import RobinhoodApi
# don't mind me, stupid utility function here to make it look like my code is a little cleaner below
main()
| [
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2894... | 3.531646 | 79 |
import random
print("===== FRETBOARD TRAINER =====")
print("\nIf you can complete level 2, 3, and 4 at 100bpm, you're done.\n")
notes = ["A", "A#/Bb", "B", "C", "C#/Db", "D", "D#/Eb", "E", "F", "F#/Gb", "G", "G#/Ab"]
#Level select
print("0. Exit\n1. One note\n2. One note + metronome\n3. Two notes + metronome\n4. R... | [
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7203,
59,
77,
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460,
1844,
1241,
362,
11,
513,
11,
290,
604,
379,
1802,
65,
4426,
11,
345,
821,
1760,
13,
... | 2.5 | 686 |
import asyncio
import platform
from typing import List
from pathlib import Path
from aiohttp.connector import TCPConnector
from aiohttp import ClientSession, ClientResponse
from aiohttp_socks import ProxyConnector
from tools.XstreamDL_CLI.cmdargs import CmdArgs
from tools.XstreamDL_CLI.models.stream import Stream
from ... | [
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6... | 1.96129 | 1,705 |
# -*- coding:utf-8 -*-
#!/usr/bin/env python
from .package_utility import *
__all__ = [
"cov_to_safer_package_name", 'cov_to_safer_package_version',
'cov_to_app_name', 'cov_to_program_name', 'cov_program_name_to_module_name',
'write_installer',
'walk_requirements'
] | [
2,
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685,
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220,
220,
366,
66,
... | 2.209302 | 129 |
# GAME: PEDRA, PAPEL E TESOURA — Crie um programa que faça o computador jogar Jokenpô com você.
from random import randint
print('-=-' * 8)
print('{: ^24}'.format('\033[32mPedra, Papel e Tesoura\033[m'))
print('-=-' * 8, end='\n')
escolha = str(input('Escolha um dos três:\n— Pedra\n— Papel\n— Tesoura\n\nDigite aqui a... | [
2,
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13,
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198,
6738,
4738,
1330,... | 2.163701 | 562 |
# coding: utf-8
# In[4]:
import tensorflow as tf
# Generate the filename queue, and read the gif files contents
filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once("data/test.gif"))
reader = tf.WholeFileReader()
key, value = reader.read(filename_queue)
image = tf.image.decode_gif(value)
#... | [
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1... | 2.441224 | 621 |
"""
## Module src.formula
### Contents
- class Formula
- class Assignment
### Side Effects
- if python version < 3.6, a simple version of random.choices
is added to module random
"""
import random
import platform
import os
import re
import multiprocessing as mp
from collections.abc import Sequenc... | [
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198,
220,
220,
220,
532,
611,
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2196,
1279,
513,
13... | 2.041457 | 7,357 |
import datetime
import types
import json
# ENCODING
def jsonify(model):
"""
Serialization of an object class, dict or list into JSON format
Arguments:
model {class object, dict or list} -- The model to be serialized
Returns:
[string] -- JSON Formatted string of the model
"""
... | [
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1634,
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281,
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... | 2.216332 | 698 |
from queue import PriorityQueue
from typing import List
if __name__ == "__main__":
example_graph = {
"U": {"V": 2, "W": 5, "X": 1},
"V": {"U": 2, "X": 2, "W": 3},
"W": {"V": 3, "U": 5, "X": 3, "Y": 1, "Z": 5},
"X": {"U": 1, "V": 2, "W": 3, "Y": 1},
"Y": {"X": 1, "W": 1, "Z... | [
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796,
1391,
198,
220,
220,
220,
220,
220,
220,
220,
366,
52,
... | 1.815385 | 260 |
a = "Địt con mẹ WeeBoo!"
print(a)
| [
64,
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238,
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119,
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83,
369,
285,
157,
118,
117,
48643,
46120,
2474,
198,
198,
4798,
7,
64,
8,
628
] | 1.5 | 24 |
import os
from google.cloud import storage, exceptions
import google.auth
import logging
from datetime import datetime
from modules.common import extract_date_from_file
logger = logging.getLogger(__name__)
| [
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13,
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1330,
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62,
4475,
62,
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62,
7753,
198,
198,... | 3.781818 | 55 |
from math import sqrt
from scipy.stats import t
from numpy import mean
def degrees_of_freedom(s1, s2, n1, n2):
"""
Compute the number of degrees of freedom using the Satterhwaite Formula
@param s1 The unbiased sample variance of the first sample
@param s2 The unbiased sample variance of the secon... | [
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198,
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62,
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7,
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16,
11,
264,
17,
11,
299,
16,
11,
299,
17,
2599,
198,
220,
... | 2.711207 | 464 |
import datetime as dt
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import time
import multiprocessing
from ._base import term, show_header
def rssi_to_colour_str(rssi):
"""
returns colorcoded rssi value based on range
"""
try:
rssi = int(rssi)
except TypeError:
... | [
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1330,
... | 2.246228 | 1,856 |
# -*- encoding: utf8 -*-
from setuptools import setup, find_packages
import os
setup(
name = "nose-timelimit",
version = "0.1.2",
url = 'https://github.com/ionelmc/nose-timelimit',
download_url = '',
license = 'BSD',
description = "Nose module that reorders tests so the quickest are run first.... | [
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7,
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220,
220,
220,
1438,
796,
366,
77,
577,
12,
16514,
417,
320,
270... | 2.436364 | 550 |
#!/usr/bin/env python
"""
verifies ssh key loaded in ssh-agent by fingerprint
and loads passwords_db encrypted with the ssh key
important:
* DB is encrypted using absolute bytes of an SSH-KEY,
therefore if you move the DB, you have to move the key
you used in first run as well
* ..
to... | [
2,
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14,
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198,
392,
15989,
21442,
62,
9945,
19365,
351,
262,
26678,
1994,
201,
198,
201,
198... | 2.260644 | 2,701 |
# Copyright 2012 OpenStack Foundation
# All Rights Reserved.
#
# 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 requ... | [
2,
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743,
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2,
220,
220,
220,
407,
779,
428,
... | 2.517272 | 3,358 |
# This is the main Python code
| [
2,
770,
318,
262,
1388,
11361,
2438,
198
] | 3.875 | 8 |
# TODO edit the code
# param
n = int(input())
# solve
ans = n
# answer
print(ans)
| [
2,
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299,
201,
198,
201,
198,
2,
3280,
201,
198,
4798,
7,
504,
8,
201,
198
] | 2.111111 | 45 |
import torch
import matplotlib.pyplot as plt
import numpy as np
device = torch.device("cuda")
rays = torch.tensor([[[x,y,4,1],[0,0,-0.5,0]] for x in np.linspace(-0.9,0.9,20) for y in np.linspace(-0.1,0.1,3)],dtype=torch.float, device=device)
mirror=torch.tensor( [
[ 0.2, 0 , 0 , 0 ],
[ 0 , 0.2,... | [
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198,
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13,
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66,
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4943,
628,
628,
198,
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796,
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13,
83,
22854,
26933,
30109... | 1.973635 | 531 |
# !/usr/bin/env python
# -*- coding: UTF-8 -*-
from base import BaseObject
from datagit.graph.dmo.util import GraphNodeDefGenerator
from datagit.graph.dmo.util import GraphNodeIdGenerator
from datagit.graph.dmo.util import GraphTextSplitter
from datamongo import CendantRecordParser
class CommitNodeBuilder(BaseObjec... | [
2,
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14,
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14,
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14,
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21015,
198,
2,
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9,
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12,
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270,
13,
34960,
13,
67,
5908,
13,
22602,
1330,
29681,
19667,
... | 1.980603 | 1,856 |
from flask import json
init_product = {
'name': 'Product 1',
'rating': 9.0,
'brand_id': 5,
'items_in_stock': 9,
'categories': [1, 5, 16]
}
| [
6738,
42903,
1330,
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860,
13,
15,
11,
198,
220,
220,
220,
705,
17938,
62,
312,
10354,
642... | 2.126582 | 79 |
import unittest
import atomic
if __name__ == '__main__':
unittest.main()
| [
11748,
555,
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198,
11748,
17226,
198,
198,
361,
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12417,
834,
10354,
198,
220,
220,
220,
555,
715,
395,
13,
12417,
3419,
198
] | 2.6 | 30 |
from .enumerations import Enumerations
| [
6738,
764,
268,
6975,
602,
1330,
2039,
6975,
602,
198
] | 3.9 | 10 |
import sys
if len(sys.stdin.readline()) >= len(sys.stdin.readline()):
print "go"
else:
print "no"
| [
11748,
25064,
198,
198,
361,
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7,
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13,
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220,
3601,
366,
2188,
1,
198,
17772,
25,
198,
220,
220,
220,
3601,... | 2.276596 | 47 |
from absl import flags
from collections import deque
import erdos
import time
from pylot.utils import time_epoch_ms
flags.DEFINE_bool('visualize_tracker_output', False,
'True to enable visualization of tracker output')
| [
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62,
538,
5374,
62,
907,
198,
198,
33152,
13,
7206,
29940,
62,
30388,
10786,... | 3 | 80 |
import itertools
import logging
import operator
import os
from typing import Mapping, Sequence
import orjson
from peewee import (
CharField,
DateTimeField,
FixedCharField,
ForeignKeyField,
IntegerField,
IPField,
Model,
ModelSelect,
ModelUpdate,
SqliteDatabase,
)
from playhouse.s... | [
11748,
340,
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198,
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18931,
198,
11748,
10088,
198,
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11,
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6738,
613,
413,
1453,
1330,
357,
198,
220,
220,
220,
3178,
15878,
11,
198,
... | 2.897561 | 205 |
import datetime
import pytz
import discord.ext.commands
from typing import Optional, Tuple
from stalkbroker import models, errors
ONE_DAY: datetime.timedelta = datetime.timedelta(days=1)
SUNDAY = 6
def validate_price_period(
date: datetime.date, time_of_day: Optional[models.TimeOfDay]
) -> None:
"""
Va... | [
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198,
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4981,
11,
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628,
198,
11651,
62,
26442,
25,
4818,
8079... | 2.674717 | 3,354 |
import os
from math import prod
INPUT_FILE = os.path.join(os.path.dirname(__file__), "input")
if __name__ == "__main__":
result = part1()
print(result)
result = part2()
print(result)
| [
11748,
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366,
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4943,
628,
628,
198,
198,
361,
11593,
3672,
834,
... | 2.481928 | 83 |
import numpy as np
from scipy.optimize import check_grad
## logistic regression
| [
11748,
299,
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355,
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629,
541,
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2235,
2604,
2569,
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220,
628,
198,
220,
220,
220,
220,
628
] | 2.903226 | 31 |
import pysam
import sys
fn=sys.argv[1]
rfh=open(sys.argv[1]+'_multi_split_aligned_temp.txt','w')
IDs=[]
align=[]
splits=['1','1-1','1-2','1-3','2-3','2-2','2-1','2']
count=0
rfh.write('temp_ID\tID\t'+'\t'.join(splits)+'\n')
dfh=pysam.AlignmentFile(fn, "rb")
pre_ID=''
count=0
locs=[]
for i in splits:
locs.append('... | [
11748,
279,
893,
321,
198,
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198,
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28,
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13,
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71,
28,
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7,
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13,
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85,
58,
16,
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6,
62,
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62,
35312,
62,
41634,
62,
29510,
13,
14116,
41707,
86,
11537,
... | 1.88151 | 768 |
"""
The Azure ML pipeline for running a basic experiment for which the graph is dynamically generated based on a parameter value.
to execute:
> python pipelines/experiments/demo_dynamic_graph.py --config-dir pipelines/config --config-name experiments/demo_dynamic_graph run.submit=True
"""
# pylint: disable=no-member
#... | [
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318,
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319,
257,
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25,
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29,
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31108,
14,
23100,
6800,
14,
9536,
78,
62,
67,
28995,
... | 2.859568 | 1,296 |
# Copyright (c) 2021-2022, InterDigital Communications, Inc
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted (subject to the limitations in the disclaimer
# below) provided that the following conditions are met:
# * Redistributions of source cod... | [
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... | 3.084795 | 1,026 |
database = {"name": "eccubevtt", "host": "localhost", "user_name": "root", "password": "root"}
schema_folder = "schemas"
model_folder = "models"
list_tables = []
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... | 2.745763 | 59 |
from keras.applications.inception_resnet_v2 import InceptionResNetV2
from keras import *
from keras.preprocessing import image
from keras.applications.inception_resnet_v2 import preprocess_input, decode_predictions
import numpy as np
model = InceptionResNetV2(include_top=True, weights='imagenet', input_tensor=None, i... | [
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... | 2.726154 | 325 |
import pygame
from utils import Colors
| [
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] | 4 | 10 |
# -*- coding: utf-8 -*-
"""strategy inialization.
"""
_name2startegy_cls = {}
def get_names():
"""get strategy names
"""
return list(_name2startegy_cls.keys())
def get_strategy_cls(name):
"""name 2 strategy cls
"""
return _name2startegy_cls[name]
def init_strategy(name, args):
"""init... | [
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... | 2.457045 | 291 |
# pylint: disable=no-self-use,invalid-name
from allennlp.common.util import ensure_list
from allennlp.data import Vocabulary
from qasper_baselines.dataset_reader import QasperReader
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6738,... | 3.118644 | 59 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
from ..cle.cle_image import CLEImageExplainer
from ..explainer import Explainer
from ..exceptions import XDeepError
plt.rcParams.update({'font.size': 12})
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... | 3.246914 | 81 |
from sklearn.linear_model.base import BaseEstimator, LinearClassifierMixin
import sklearn
import numpy as np
from copy import deepcopy
from utils import roc_auc_score_reversed
import tt
import logging
class TTRegression(BaseEstimator, LinearClassifierMixin):
"""This class alows to optimize functions of the foll... | [
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... | 2.043626 | 6,166 |
# -*- coding: utf-8 -*-
# © 2017-2019, ETH Zurich, Institut für Theoretische Physik
# Author: Dominik Gresch <greschd@gmx.ch>
"""
Implements line evaluation with the shortest path method.
"""
import networkx as nx
from ..._cluster import _DISTANCE_KEY
from ..._logging import IDENTIFY_LOGGER
_WEIGHT_KEY = '_weight'
... | [
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... | 1.979798 | 2,772 |
from selenium import webdriver
# def open_login_user_menu(self):
# self.driver.get("https://demo23.opencart.pro/index.php?route=account/login")
# def select_login(self):
# self.driver.find_element_by_css_selector("//*[@id='input-email"]").click()
| [
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... | 2.490909 | 110 |
# ===============================================================================
# Copyright 2017 ross
#
# 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/LICE... | [
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13... | 4.469298 | 228 |
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy.stats import rv_discrete, entropy
from copy import deepcopy
class ToyWorldAction(object):
'''
Up, down, left, right
'''
class ToyWorldState(object):
'''
Belief is just the curre... | [
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... | 2.669231 | 130 |
import mayavi.mlab
import numpy as np
import argparse
import os
parser = argparse.ArgumentParser(description='Generate Libar')
parser.add_argument('--image', type=str,
default='0')
args = parser.parse_args()
dirname = os.path.dirname(__file__)
pointcloud = np.fromfile(os.path.join(dirname, args.i... | [
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2... | 2.115318 | 581 |
# encoding=utf-8
import matplotlib.pyplot as plt
from search import *
import datetime
import numpy as np
'''The running time for n=3 '''
Graph=nPuzzleGraph(3)
initialState=get_random(Graph,3)
time=[]
table={0:BFS(Graph,initialState),1:DFS(Graph,initialState),2:DLS(Graph,initialState,1000),\
3:IDS(Graph,initialState)}
... | [
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18,... | 2.463542 | 576 |