content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from work_materials.globals import moscow_tz
import datetime
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"""
Module implements Constraint class and DPQuery class.
Constraint is a querybase query with sign and answer to that query.
DPQuery is a querybase query with noisy answer and information about DP mechanism used to get that answer (budget, variance, mechanism name)
Also StackedConstraint and StackedDPQuery classes ar... | [
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3... | 2.573428 | 7,218 |
# encoding: UTF-8
__author__ = 'CHENXY'
from string import join
from xspeed_struct import structDict
#----------------------------------------------------------------------
def createWrap(cbName):
"""在Python封装段代码中进行处理"""
# 生成.h文件中的on部分
if 'OnRspError' in cbName:
on_line = 'v... | [
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# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# The code is based on deep-high-resolution-net.pytorch.
# (https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)
# Modified by Zigang Geng (zigang@mail.ustc.edu.cn).
# ... | [
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7... | 2.629296 | 1,222 |
import random
import numpy as np
import pandas as pd
import seaborn as sns
from pyod.models.knn import KNN as knn
from pyod.models.abod import ABOD
from pyod.models.cblof import CBLOF
from pyod.models.feature_bagging import FeatureBagging
from pyod.models.hbos import HBOS
from pyod.models.mcd import MCD
from pyod.mode... | [
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... | 2.418159 | 1,564 |
"""
Code generation and import tests.
"""
import sys
from hamcrest import (
assert_that,
calling,
equal_to,
has_properties,
instance_of,
is_,
raises,
)
from jsonschema import ValidationError
from jsonschematypes.registry import Registry
from jsonschematypes.tests.fixtures import NAME, NAME... | [
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... | 2.243342 | 2,741 |
# Copyright European Organization for Nuclear Research (CERN)
#
# 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
#
# Authors:
# - Jaroslav Guenther, ... | [
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13... | 2.67551 | 490 |
import Qt.QtWidgets as QtWidgets
import nomenclate.settings as settings
MODULE_LOGGER_LEVEL_OVERRIDE = settings.INFO
| [
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# Copyright 2016 The TensorFlow Authors. 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 required by applica... | [
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... | 2.666931 | 5,041 |
from src.scripts.executors.base import BaseExecutor
from src.scripts.test_data.select_5 import populate
| [
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] | 3.5 | 30 |
from setuptools import setup
from distutils.core import setup, Extension
from numpy.distutils import misc_util
setup(
name='pyfhog',
version='0.1.0',
description='Python wrapper for the fhog implementation of Piotr Dollars Matlab toolbox',
url='https://github.com/JBamberger/pyfhog',
author='Jannik ... | [
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7,
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220,
220,
220,
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69,
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3256,
... | 2.657143 | 385 |
from apmserver import AccessTest
import requests
| [
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198,
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7007,
628
] | 4.25 | 12 |
import pandas as pd
| [
11748,
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355,
279,
67,
198
] | 2.857143 | 7 |
""" Reverting HALF NUMBER"""
inp = int(input())
sol = Solution()
is_palindrome = sol.is_palindrome(inp)
if is_palindrome:
print("true", end="")
else:
print("false", end="")
# lazy solution ::
# my solution with python3
# s = str(x)
# rs = "".join(list(reversed(s)))
# if rs != s:
# return False
# return... | [
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7,
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... | 2.469697 | 132 |
from numpy import *
import numpy as np
from NumpyRegressions import *
def get_risk_adjusted_portfolio_returns(returns,factors,constant=True,robust_type='HC0'):
'This function adjusts the portfolio returns by risk factors'
dims = list(returns.shape)
adjusted_returns = full(dims, nan)
if len(dims)==4:
... | [
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7,
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28,... | 1.786571 | 2,919 |
import pandas as pd
import numpy as np
from util import timeclass,get_logger
from speed_up import sparse_dot
import networkx as nx
VERBOSITY_LEVEL = 'INFO'
LOGGER = get_logger(VERBOSITY_LEVEL, __file__)
# @timeclass('Feat')
# def graph_embedding2(self,table):
# x = torch.tensor(table.df['node_in... | [
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3... | 1.948238 | 908 |
import pytest
import datetime
import os
import sys
from gcp import GCSBucket
now = datetime.datetime.now()
# this hook function needs to run before pytest-html pytest_configure,
# which creates the HTMLReport
@pytest.hookimpl(tryfirst=True)
| [
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2... | 3.192308 | 78 |
from django.db import models
from .validators import validate_upload_file_extension
| [
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] | 3.863636 | 22 |
# Copyright: 2005 Brian Harring <ferringb@gmail.com>
# License: GPL2/BSD
# "More than one statement on a single line"
# pylint: disable-msg=C0321
"""
atom exceptions
"""
__all__ = ("MalformedAtom", "InvalidVersion", "InvalidCPV", "ParseError")
from pkgcore.package import errors
class InvalidCPV(errors.InvalidPa... | [
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257,
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1,
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2,
279,
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25,
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12,... | 2.993789 | 161 |
import time
import os
import argparse
from multiprocessing import Process
import sys
from ray.rllib.env.policy_client import PolicyClient
SERVER_ADDRESS = os.environ.get('VC_LEARNER_HOSTS', "127.0.0.1") # "127.0.0.1"
SERVER_PORT = 9999
parser = argparse.ArgumentParser()
parser.add_argument("--inference-... | [
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#!python
def merge(items1, items2):
"""Merge given lists of items, each assumed to already be in sorted order,
and return a new list containing all items in sorted order.
TODO: Running time: ??? Why and under what conditions?
TODO: Memory usage: ??? Why and under what conditions?"""
merge_list = ... | [
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135... | 2.949755 | 1,632 |
from django import forms | [
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] | 4.8 | 5 |
from aleph.index.entities import index_entity # noqa
from aleph.index.documents import index_document # noqa
| [
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'''
Additional Customizations
100xp
If you have another look at the script, under # Additional Customizations,
you'll see that there are two plt.text() functions now. They add the words
"India" and "China" in the plot.
Instructions
Add plt.grid(True) after the plt.text() calls so that gridlines are drawn on the plot.
... | [
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... | 2.780919 | 283 |
from django.contrib import admin
from .models import Todos, ForTestOnly
admin.site.register(Todos)
admin.site.register(ForTestOnly)
| [
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10... | 2.977778 | 45 |
import time
import json
import datetime
import os
import tensorflow.compat.v1 as tf
import math
import glob
import numpy as np
import itertools
import setproctitle
import argparse
from pathlib import Path
tf.enable_eager_execution()
from waymo_open_dataset.utils import range_image_utils
from waymo_open_dataset.utils i... | [
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8... | 2.028607 | 2,377 |
# -*- coding: utf-8 -*-
"""
simplewiki.database
~~~~~~~~~~~~~~~~~~~
The database.
:copyright: 2007 Pallets
:license: BSD-3-Clause
"""
from datetime import datetime
from sqlalchemy import Column
from sqlalchemy import DateTime
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from s... | [
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... | 3.081325 | 996 |
import numpy as np
import Dataset3 as Ds
ActualTarget = 3
model_output_0 = predict_with_network(Ds.input_data, Ds.weights)
error_0 = (model_output_0 - ActualTarget)
model_output_1 = predict_with_network(Ds.input_data, Ds.NewWeights)
error_1 = (model_output_1 - ActualTarget)
print("Model0 output:%d and Model1 outp... | [
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62,
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7,
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13,
15414,
62,
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11,
360,
82,
13... | 2.631902 | 163 |
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import dash
import dash_bootstrap_components as dbc
from jupyter_dash import JupyterDash
# from app import app
from .apps import local_explanation
| [
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198,
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1876... | 3.45 | 80 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from sqlalchemy.engine import Engine
from sqlalchemy.event import listens_for
from sqlalchemy.orm import sessionmaker
from schema import Base, City, Sex, User, friendship
from dom import FacebookCity, FacebookUser
Session = sessionmaker()
"""
# Enforce foreign keys in s... | [
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19... | 3.1 | 180 |
'''
哦，不！你不小心把一个长篇文章中的空格、标点都删掉了，并且大写也弄成了小写。像句子"I reset the computer. It still didn’t boot!"已经变成了"iresetthecomputeritstilldidntboot"。在处理标点符号和大小写之前，你得先把它断成词语。当然了，你有一本厚厚的词典dictionary，不过，有些词没在词典里。假设文章用sentence表示，设计一个算法，把文章断开，要求未识别的字符最少，返回未识别的字符数。
注意：本题相对原题稍作改动，只需返回未识别的字符数
示例：
输入：
dictionary = ["looked","just","like","her","... | [
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123,
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107,
229,
23877,
229,
44165,
254,
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163,
102,
118,
43718,
... | 1.194888 | 626 |
import datetime as dt
import lxml.html
import re
from .utils import get_short_codes
from urlparse import urlparse
from billy.scrape.bills import BillScraper, Bill
from billy.scrape.votes import Vote
HI_URL_BASE = "http://capitol.hawaii.gov"
SHORT_CODES = "%s/committees/committees.aspx?chamber=all" % (HI_URL_BASE)
| [
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1... | 2.765217 | 115 |
from monerorpc.authproxy import AuthServiceProxy, JSONRPCException
import logging
logging.basicConfig()
logging.getLogger("MoneroRPC").setLevel(logging.DEBUG)
log = logging.getLogger("wallet-rpc-lib")
rpc = AuthServiceProxy("http://test:test@127.0.0.1:38083/json_rpc")
# rpc = AuthServiceProxy('http://127.0.0.1:38083/... | [
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# Generated by Django 3.1.2 on 2020-10-18 14:14
from django.db import migrations
| [
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] | 2.766667 | 30 |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'c:\Users\marce\Documents\GitHub\fdbpm-python\interface.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what ... | [
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13,... | 2.985507 | 138 |
"""
pyFF statistics module
"""
import time
import logging
__author__ = 'leifj'
# Initialize the repository
if not hasattr(logging, 'statistics'):
logging.statistics = {}
# Initialize my namespace
stats = logging.statistics.setdefault('pyFF Statistics', {})
# Initialize my namespaces scalars and collections
sta... | [
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... | 3.027273 | 220 |
"""ThreatConnect API Case Management Module."""
# flake8: noqa
| [
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# -*- coding: utf-8 -*-
"""
Copyright (C) 2021 Stefano Gottardo (script.appcast)
Functions for starting the script service
SPDX-License-Identifier: MIT
See LICENSES/MIT.md for more information.
"""
import threading
import xbmc
import resources.lib.servers.dial_server as dial_server
import resources.l... | [
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6... | 3.006803 | 147 |
from django.db import models
from django.utils.timezone import localdate
# Create your models here. | [
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# Generated by Django 3.1.2 on 2020-10-04 14:01
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
import math
import torch
import torch.nn as nn
from torch.nn import init
import torch.nn.functional as F
import numpy as np
import const
class GELU(nn.Module):
"""
different from 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3))))
"""
if __name__ == "__main__":... | [
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628... | 2.447504 | 581 |
from openni import openni2, nite2
from openni import _openni2 as c_api_openni2
from openni import _nite2 as c_api_nite2
import commandrobot as cr
MIN_MOVE_VALIDATION=50
| [
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... | 2.485714 | 70 |
# -*- coding: utf-8 -*-
import random
from src import actor
from src import config
'''
This modules manages a simulation instance. It creates the actors, handle the
main loop and send messages to the calling application.
'''
| [
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# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from ... | [
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... | 3.392765 | 387 |
import pytest
from thenewboston.third_party.factory.utils import build_json
from ..factories.bank import BankFactory
@pytest.fixture
@pytest.fixture
| [
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... | 3.08 | 50 |
from panoramic.cli.husky.service.utils.taxon_slug_expression import TaxonExpressionStr
HUSKY_QUERY_DATA_SOURCE_COLUMN_NAME = '__data_source'
"""
Column on final Single Husky query with respective data source.
"""
| [
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import gym
env = gym.make('CartPole-v0')
print env.action_space
print env.observation_space
print env.observation_space.high
print env.observation_space.low
| [
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... | 2.821429 | 56 |
#!/usr/bin/env python3
"""This module provides the SlurmDebManager."""
import logging
import shlex
import subprocess
from pathlib import Path
from slurm_ops_manager.slurm_ops_base import SlurmOpsManagerBase
logger = logging.getLogger()
class SlurmDebManager(SlurmOpsManagerBase):
"""Slurm debian operations mana... | [
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from data import extract_feature
from model import ClfModel
from config import CLF_CONFIG, categories, PROJECT_ROOT
import os
import torch
import numpy as np
from torch import autograd
model = ClfModel(**CLF_CONFIG).cuda()
model.load_state_dict(torch.load('../weights/model.pkl'))
model.eval()
text = [
open(os.path.... | [
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#!/usr/bin/python
# -*- coding: utf-8 -*-
import math
import random
import time
import traceback
import requests
from bs4 import BeautifulSoup
# 这里覆盖你的百度文库商店ID
SHOP_ID = "f3b219e8b8f67c1cfad6b85c"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/8... | [
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import os, shutil
_FOLDER = "/Users/kerem/Downloads"
for current_item in os.listdir(_FOLDER):
current_path = os.path.join(_FOLDER, current_item)
try:
if os.path.isfile(current_path):
os.unlink(current_path)
elif os.path.isdir(current_path):
shutil.rmtree(current_path)
... | [
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motifs2Find = ("A", "T", "G", "C", "Cg", "cG", "[tc]Tt", "aA[ag]")
findTitles = ("A", "T", "G", "C", "Cg", "cG", "yTt", "aAr")
motifs2Count = ("a", "t", "g", "c", "cg", "[tc]tt", "aa[ag]")
countTitles = ("a", "t", "g", "c", "cg", "ytt", "aar",)
countTitles = tuple([x+"_counts" for x in countTitles])
| [
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5855,... | 1.893082 | 159 |
from transformers import AutoModelForSequenceClassification, Trainer, TrainingArguments
from sklearn.metrics import accuracy_score, precision_recall_fscore_support
from datasets import load_from_disk
import random
import logging
import sys
import argparse
import os
sys.stdout = Unbuffered(sys.stdout)
if __name__ == ... | [
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... | 2.471652 | 1,217 |
import math
intInput = int(input("Enter prime search limit: "))
a = [True] * intInput
ieCounter = 0
for x in range(2, int(math.sqrt(intInput))):
if a[x] is True:
for j in range(x**2, intInput-1, x):
ieCounter = ieCounter + 1
a[j] = False
print("Primes found: ")
fo... | [
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... | 2 | 194 |
######################################################
#
# BioSignalML Management in Python
#
# Copyright (c) 2010-2013 David Brooks
#
# 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
#
# ... | [
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362... | 2.889986 | 709 |
#!/usr/bin/env python3
import os
import time
import json
import subprocess
import logging
from influxdb import InfluxDBClient
HOST = os.getenv("INFLUXDB_HOST")
PORT = os.getenv("INFLUXDB_PORT")
DATABASE = os.getenv("INFLUXDB_DATABASE")
SPEEDTEST_SERVER = os.getenv("SPEEDTEST_SERVER")
TEST_INTERVAL = int(os.getenv("TES... | [
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... | 2.312883 | 326 |
'''
--- Day 9: Sensor Boost ---
You've just said goodbye to the rebooted rover and left Mars when you receive a faint distress signal coming from the asteroid belt. It must be the Ceres monitoring station!
In order to lock on to the signal, you'll need to boost your sensors. The Elves send up the latest BOOST program ... | [
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37... | 4.218947 | 950 |
from flask_login import UserMixin
from datetime import datetime
from mealme_pg import db, login_manager
@login_manager.user_loader | [
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] | 3.540541 | 37 |
import os
import re
import glob
import socket
import os.path
from EventWriter import EventWriter
| [
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] | 3.655172 | 29 |
from math import sqrt
users3 = {"David": {"Imagine Dragons": 3, "Daft Punk": 5,
"Lorde": 4, "Fall Out Boy": 1},
"Matt": {"Imagine Dragons": 3, "Daft Punk": 4,
"Lorde": 4, "Fall Out Boy": 1},
"Ben": {"Kacey Musgraves": 4, "Imagine Dragons": 3,
... | [
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220,
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220,
... | 1.944118 | 340 |
#!/usr/bin/env python
# coding: utf-8
# # Create a binary tree
# 
# ## Task 01: build a node
#
# * on a piece of paper, draw a tree.
# * Define a node, what are the three things you'd expect in a node?
# * Define class called `Node`, and define a constructor that takes no arg... | [
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from abc import ABC, abstractmethod
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from prive.utils.data import encode_data, get_num_features
class SetClassifier(ABC):
"""
Abstract base class for set classifiers
"""
@abstra... | [
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1... | 2.8175 | 400 |
import anndata as ad
import pandas as pd
def _select_first(df: pd.DataFrame, col_pattern: str) -> pd.Series:
"""\
Selects first non-empty value from columns matching ``col_pattern``
Parameters
----------
df
Pandas data frame
col_pattern
Pattern to match columns
Returns
... | [
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2... | 2.430727 | 729 |
track = dict(
author_username='residentmario',
course_name='Pandas',
course_url='https://www.kaggle.com/learn/pandas'
)
lessons = []
notebooks = []
SLUGS = """creating-reading-and-writing-reference
creating-reading-and-writing-workbook
indexing-selecting-assigning-reference
indexing-selecting-assigning
su... | [
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from os import X_OK
import torch
import torchvision
from net.cvt_offical import get_cvt13_pretrained, BiseCvt_same_params,Base_cvt_cifar,BiseCvt_same_flops
from utils import train_transform, test_transform,initialize,smooth_crossentropy
from config import device
from ptflops import get_model_complexity_info
import t... | [
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import numpy as np
from torch.utils.data import DataLoader
from lib.datasets.frustum_dataset import FrustumDataset
from lib.datasets.patch_dataset import PatchDataset
# Init datasets and dataloaders
| [
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"""Helper tools common to all notebooks.
"""
import os
import numpy as np
import re
from toast.tod import hex_pol_angles_radial, hex_pol_angles_qu, hex_layout
def check_nersc(reservation=None, repo=None):
"""Check if we are running at NERSC.
If we are at NERSC, select the account to use for batch jobs.... | [
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6... | 1.862658 | 2,694 |
from bs4 import BeautifulSoup
import requests
html = getListHTML(getBPMRange(80))
artists = getArtistsInArray(html)
songs = getSongsInArray(html)
for artist, song in zip(artists, songs):
print(artist, song)
| [
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#!/usr/bin/env python2
from pwn import *
p = process("./times-up")
p.recvuntil("Challenge: ")
sol = eval(p.recvline())
p.sendline(str(sol))
p.interactive() | [
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import os
from unittest import expectedFailure
from django.db.models import Q
from django.test import TestCase
from rest_framework import generics, serializers, status
from rest_framework.test import APIRequestFactory
from advanced_filters.filters import AdvancedFilter, ParseError
from api.models import User
| [
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'''
我们在导入一个包时，实际上是导入了它的__init__.py文件
这样我们可以在__init__.py文件中批量导入我们所需要的模块，而不再需要一个一个的导入
__init__.py的第一个作用就是package的标识.如果没有该文件，该目录就不会认为是package
Root目录->Pack1目录(->Pack1Class.py),Pack2目录(->Pack2Class.py)
Python中的包和模块有两种导入方式：精确导入和模糊导入：
精确导入：
from Root.Pack1 import Pack1Class
import Root.Pack1.Pack1Class
模糊导入：
from Root.P... | [
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import pandas as pd
diary = pd.read_csv("../data/NationalFoodSurvey/NFS_1974/1974 diary data.txt",
sep="\t")
hhold = pd.read_csv("../data/NationalFoodSurvey/NFS_1974/1974 household data.txt",
sep="\t")
dta = diary.merge(hhold)
| [
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import cv2
import numpy as np
import imutils
# img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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import functools
import tensorflow as tf
from composite_layers.utils import wrap
@functools.wraps(tf.SparseTensor)
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import sys
from kanshin.com.keyword import DetailPage as KeywordPage, ListPage as KeywordListPage
import json
import re
if __name__ == '__main__':
main(*sys.argv[1:])
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# This file is imported from __init__.py and exec'd from setup.py
VERSION = (0, 10, 1, None)
| [
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#
# Copyright (c) 2017 Intel 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... | [
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# -*- coding: utf-8 -*-
from DataSource import DataSource
import re
| [
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""" Set runtime options and job submission strings for
electronic structure package calculations.
The options will be determined by the user input and
will correspond to the default otherwise.
Constructs `kwargs` dictionaries that are passed
to elstruct package functions to write electronic struct... | [
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'''
Simple Convolutional Neural Network (CNN) example in Keras (Python)
The program performs classification of input images into two groups: hand-drawn circles and hand-drawn lines
Author: Goran Trlin
Find more tutorials and code samples on:
https://playandlearntocode.com
'''
import os
# os.environ['CUDA_VISIBLE_DEVIC... | [
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# Generated by Django 2.1.6 on 2019-02-14 06:47
from django.db import migrations
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"""Test date handling and filtering for claims."""
import datetime
from claims_to_quality.analyzer.models.claim import Claim
from claims_to_quality.analyzer.models.claim_line import ClaimLine
from claims_to_quality.analyzer.models.measures.eligibility_option import EligibilityOption
from claims_to_quality.analyzer.mod... | [
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from os import path
from setuptools import setup, find_packages
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'readme.md'), encoding='utf-8') as f:
long_description = f.read()
with open('adasher_requirements.txt') as f:
required = f.read().splitlines()
setup(name... | [
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# Adapted from subplemental materical of 'Marginally Calibrated Deep
# Distributional Regression'. Paper and MATLAB code can be found at
# https://www.tandfonline.com/doi/abs/10.1080/10618600.2020.1807996
# Author of corresponding MATLAB code: Nadja Klein
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'''
Created on Oct 24, 2014
@author: jiao
'''
import urllib2
from bs4 import BeautifulSoup
import sys
import os
import time
from lxml import etree
from io import StringIO
sys.path.append('/home/jiao/QTL')
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'QTL.settings')
from qtl.models import Gene,Marker,LOD,Experime... | [
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'''
Created on Nov 16, 2016
@author: cstras
'''
import socket
import struct
import logging
import locale
from evtgen.datasources.datasourceinterface import DataGenerator, DataElement, DataStore, LabelFile
from evtgen.datasources import PCAP
from scapy.all import *
class PacketStore(DataStore):
'''
Represents ... | [
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"""
Path tracking simulation with iterative linear model predictive control for speed and steer control
author: Atsushi Sakai (@Atsushi_twi)
"""
import matplotlib.pyplot as plt
import cvxpy
import math
import numpy as np
import sys
import csv
import pandas as pd
sys.path.append("../../PathPlanning/CubicSpline/")
tr... | [
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#!/usr/bin/env python3
# --------------------( LICENSE )--------------------
# Copyright (c) 2014-2021 Beartype authors.
# See "LICENSE" for further details.
'''
Project-wide **PEP-compliant type hint sign sets** (i.e., frozen set globals
aggregating instances of the
:class:`beartype._util.da... | [
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import os, sys, pygame, random, array, gamemode
import direction, bounds, timeout, menu
from pygame.locals import *
#Import game modules.
from loader import load_image
import player, maps, traffic, camera, tracks
CENTER_W = -1
CENTER_H = -1
#Menu function
#initialization
pygame.init()
screen = pygam... | [
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98... | 2.353093 | 388 |
import pytest
from django_fahrenheit import settings as fahrenheit_settings
@pytest.mark.parametrize(
argnames='auth_installed, use_added_by, expected_value',
argvalues=[
(True, True, True),
(True, False, False),
(False, True, False),
(False, False, False)
],
)
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... | 2.395349 | 129 |
import torch
import torch.nn.functional as F
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def Ejemplo():
"""Función sin parametros ni retorno"""
print("Hola mundo!")
s = 5+7
print(s)
def EjemploParam(n1, n2):
"""Función con parametros sin retorno"""
s = n1 + n2
print(s)
def EjemploRetorno():
"""Función sin parametros con retorno"""
s = 5 + 6
return s
def Ejemplo... | [
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"""
Duplicate POSTS in settings.
Should not read each post twice, which causes conflicts.
"""
import pytest
from nikola import __main__
from .helper import append_config, cd
from .test_demo_build import prepare_demo_site
from .test_empty_build import ( # NOQA
test_archive_exists,
test_avoid_double_slash_in... | [
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1... | 2.464516 | 310 |
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import env
import gym
import pygame
#0:space, 1: counter 2: agent, 3: tomato, 4: lettuce, 5: plate, 6: knife, 7: delivery
# grid_dim = [7, 7]
# map = [[1, 1, 1, 1, 1, 3, 1],
# [6, 0, 2, 0, 2, 0, 4],
# ... | [
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... | 1.739206 | 1,158 |
'''
author: meng-zha
data: 2020/05/26
'''
from torch.utils.data import Dataset
import h5py
import numpy as np
import os | [
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1... | 2.586957 | 46 |
#Implements the multiple choice model described in Aravena et al. -WL
import pdb
import pyomo.environ as pe
import json
import numpy as np
from PWL_Approx_Functions import *
import egret.model_library.transmission.tx_utils as tx_utils
import egret.model_library.transmission.tx_calc as tx_calc
import egret.model_lib... | [
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45... | 2.711599 | 638 |
from array import array
from itertools import chain
import time
from kivy.app import App
from kivy.clock import Clock
from kivy.core.window import Window
from kivy.graphics import Rectangle
from kivy.graphics.texture import Texture
from kivy.properties import NumericProperty, ListProperty
from kivy.uix.widget import ... | [
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# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/callback.simpleprofiler.ipynb (unless otherwise specified).
__all__ = ['SimpleProfilerPostCallback', 'SimpleProfilerCallback']
# Cell
import time
import pandas as pd
import numpy as np
from pathlib import Path
from packaging.version import parse
from fastcore.foundatio... | [
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6... | 2.870326 | 1,658 |
"""
Mixin for returning capture information.
"""
class CaptureMixin:
"""
Mixin for returning capture information.
"""
def get_video_length(self):
"""
Get the total length of the video.
"""
return self.frame_count / self.fps
| [
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"""
This module contains all constants representing the text directions of a :class:`~cms.models.languages.language.Language`:
* ``LTR``: Text is left to right, e.g. in English
* ``RTL``: Text is right to left, e.g. in Arabic
"""
from django.utils.translation import ugettext_lazy as _
LTR = "LTR"
RTL = "RTL"
CHO... | [
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