content stringlengths 5 1.05M |
|---|
from sqlalchemy.orm import Session
import random
from . import models, schemas
def get_corpse(db: Session, corpse_name: str):
return (db.query(models.Corpse)
.filter(models.Corpse.corpse_name == corpse_name)
.first())
def create_corpse(db: Session, corpse_name: str, img: bytes):
db_c... |
#!python
# Author: Thomas Berg <merlin66b@gmail.com>
# License: BSD
import os
import shutil
# For this script to run, scons must be installed (http://www.scons.org),
# and Microsoft VS2008.
# Purpose of this program: Generate all files needed for a C++ build, compile
# it with scons, and demonstrate a crash... |
# -*- coding: utf-8 -*-
import time
def generate_sdp(self, ip, audio_port, rtp_profiles, session_description=" "):
sdp = ""
#Protocol Version ("v=") https://tools.ietf.org/html/rfc4566#section-5.1 (always 0 for us)
sdp += "v=0\r\n"
#Origin ("o=") https://tools.ietf.org/html/rfc4566#section-5... |
class CuboidParams():
def __init__(self):
# TODO: put all the relevant parameters at this single place here!
# PARAMS FOR THE APROACH PRIMITIVE
self.approach_grasp_xy = [0.1, 0.1, 0.09, 0.036195386201143265]
self.approach_grasp_h = [0.1, 0.0, 0.0, 0.0]
self.approach_duration... |
from collections import defaultdict
def profile(count_matrix: Dict) -> Dict:
"""Generate the profile matrix of the given count matrix
Arguments:
count_matrix {Dict} -- motif count matrix
Returns:
Dict -- profile matrix of the counts matrix
Example:
>>> count_matrix =... |
"""Models for ripper app."""
import urllib.parse
import urllib.request
from bs4 import BeautifulSoup
from bs4.dammit import EncodingDetector
import requests
import re
from dateutil.parser import parse
from dateutil.tz import gettz
from django.db import models
from django.urls import reverse as reverse_url
from djan... |
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... |
from enum import Enum
from random import choices
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
from mpl_toolkits.axes_grid1 import make_axes_locatable
class Direction(Enum):
Up = 1
Right = 2
Down = 3
Left = 4
class Position():
x = 0
y = 0
direction = ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 31 21:42:33 2019
@author: george
"""
import sys
import numpy as np
from sklearn.linear_model import LogisticRegressionCV
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_netwo... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import django.contrib.postgres.fields
import django.contrib.postgres.fields.hstore
from django import VERSION as django_version
from django.contrib.postgres.operations import HStoreExtension
from django.db import migrations, models
try:
from django.... |
"""Tests of session module"""
import pytest
try:
from unittest import mock
except ImportError:
import mock
from rasterio.session import DummySession, AWSSession, Session, OSSSession, GSSession, SwiftSession
def test_base_session_hascreds_notimpl():
"""Session.hascreds must be overridden"""
assert S... |
# coding=utf-8
# Copyright 2020 The TF-Agents Authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... |
# -*- coding: utf-8 -*-
import uuid
import domain_model
from domain_model import DomainModel
from domain_model import DomainModelWithUuid
from misc_test_utils import copy_dict_with_key_removed
from misc_test_utils import domain_model_validate_internals_test
from misc_test_utils import domain_model_validation_test
from... |
frase = str(input('Digite uma frase: ')).strip().upper()
cont = frase.count('A')
pos1 = (frase.find('A')+1)
print('A letra A aparece {} vezes na frase.'.format(cont))
print('A primeira letra A apareceu na posição {}.'.format(pos1))
print('A última letra A apareceu na posição {}.'.format(frase.rfind('A')+1))
|
import torch
class OTR():
def __init__(self):
self.name = "name"
class NormalisedRatio(OTR):
def __init__(self):
super(NormalisedRatio, self).__init__()
def __call__(self, y_1, y_0):
ratio = (y_1 - y_0) / y_0
return torch.sigmoid(ratio, 2)
|
#!/usr/bin/env python
"""
* *******************************************************
* Copyright (c) VMware, Inc. 2016-2018. All Rights Reserved.
* SPDX-License-Identifier: MIT
* *******************************************************
*
* DISCLAIMER. THIS PROGRAM IS PROVIDED TO YOU "AS IS" WITHOUT
* WARRANTIES OR CONDI... |
# cluster from AttentionXML
import os
import tqdm
import joblib
import numpy as np
from scipy.sparse import csr_matrix, csc_matrix
from sklearn.preprocessing import normalize
from sklearn.datasets import load_svmlight_file
from sklearn.preprocessing import MultiLabelBinarizer
def get_sparse_feature(feature... |
"""LogTools Log viewer application
By BigBird who like to Code
https://github.com/bigbirdcode/logtools
"""
import argparse
import io
import os
import pathlib
import sys
from textwrap import dedent
from typing import Any, NoReturn
import wx
# Python has 2 types of calls:
# - direct call, like: python main.py
# - ... |
import os
import shutil
from pathlib import Path
from pprint import pprint
import csv
import time
from PIL import Image
from datetime import datetime
import re
import numpy as np
from typing import List
import cv2
import torch
from pytube import YouTube
from facenet_pytorch import MTCNN
from utils import (
varian... |
from rest_framework import status
from lego.apps.notifications import constants
from lego.apps.notifications.models import Announcement
from lego.apps.users.models import AbakusGroup, User
from lego.utils.test_utils import BaseAPITestCase
class NotificationSettingsViewSetTestCase(BaseAPITestCase):
fixtures = [
... |
# This source code is licensed under the license found in the
# LICENSE file in the {root}/privgem/tabular/ppgm directory of this source tree.
#
# This code has been modified from the version at
# https://github.com/BorealisAI/private-data-generation/tree/master/models/Private_PGM/mbi
# Modifications copyright (C) 2021... |
# Demonstrate the use of acceleration test
import sys
import os
import numpy as np
from fastsim import simdrive, vehicle, cycle
def create_accel_cyc(length_in_seconds=300, spd_mph=89.48, grade=0.0, hz=10):
"""
Create a synthetic Drive Cycle for acceleration targeting.
Defaults to a 15 second acceleration... |
#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Aug 7 12:49:43 EDT 2019
from .accessor import LinearRegressAccessor
|
# -*- coding: utf-8 -*-
"""
Anki Add-on: HTML Cleaner
Entry point for the add-on into Anki
Please don't edit this if you don't know what you're doing.
Copyright: (c) Glutanimate 2017
License: GNU AGPL, version 3 or later; http://www.gnu.org/copyleft/gpl.html
"""
from .html_cleaner import editor, browser
|
import abc
import asyncio
import threading
__all__ = ()
class Wait(abc.ABC):
__slots__ = ()
@abc.abstractmethod
def _make_event(self):
raise NotImplementedError()
@abc.abstractmethod
def _make(self, event):
raise NotImplementedError()
def __call__(self, manage, event = ... |
import pytest
from vidispine.errors import NotFound
def test_delete(vidispine, cassette, collection):
vidispine.collection.delete(collection)
assert cassette.all_played
def test_non_existent_collection(vidispine, cassette):
with pytest.raises(NotFound) as err:
vidispine.collection.delete('VX-1... |
import torch
from torch_geometric.utils import contains_isolated_nodes
def test_contains_isolated_nodes():
row = torch.tensor([0, 1, 0])
col = torch.tensor([1, 0, 0])
assert not contains_isolated_nodes(torch.stack([row, col], dim=0))
assert contains_isolated_nodes(torch.stack([row, col], dim=0), num_... |
# -*- coding: utf-8 -*-
from twisted.internet import reactor, protocol, ssl
from twisted.mail import imap4
# from twisted.internet import defer
# from twisted.python import log
# log.startLogging(open("/tmp/twisted.log","w"))
# defer.setDebugging(True)
from . import debug #@UnresolvedImport # pylint: disable-msg=F0401... |
# subsystem mem
# memory layout:
# 0, value0, 0, value1, ..., value(N-1), 0, 0, 0, 0
# init imm
# initialize imm bytes of random-access memory. imm <= 256.
# memory should be cleared before loading.
# clean
# works only after init. clean random-access memory area.
# clean fast
# doesnt clear values. works on... |
"""
Plotting Data Module
Contains the general class definition and the subclasses of the Clawpack
data objects specific to plotting.
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import copy
import numpy as np
import re
import logging
import clawpack.clawutil.data as clawda... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf.urls import patterns, url
urlpatterns = patterns(
'pagseguro.views',
url(
r'^$', 'receive_notification', name='pagseguro_receive_notification'
),
)
|
from collections import abc
from pathlib import Path
import time
import re
from threading import Thread
from api import audio
from api import gui
from init_phase import init_phase
from viability_phase import viability_phase
from evaluation_phase import create_datetime_subdir, evaluation_phase
from evaluation_phase im... |
import cv2
import numpy as np
from matplotlib import pyplot as plt
I = cv2.imread('masoleh.jpg')
# notice that OpenCV uses BGR instead of RGB!
B = I.copy()
B[:, :, 1:] = 0
G = I.copy()
G[:, :, ::2] = 0
R = I.copy()
R[:, :, :2] = 0
cv2.imshow('win1', I)
while 1:
k = cv2.waitKey()
if k == ord('o'):
... |
# Standard libraries
import os
from datetime import datetime as dt
from datetime import timedelta
# External libraries
import pandas as pd
class LoadProfileData:
def __init__(self,settings, logger):
self.logger = logger
self.settings = settings
# Read all csv files
self.read_fil... |
from setuptools import setup, find_packages
from os.path import join, dirname
setup(
name='smartRM',
version='1.0',
author='Andrew Denisevich',
author_email='andrew.denisevich@gmail.com',
packages=find_packages(),
long_description=open(join(dirname(__file__), 'README')).read()
}
) |
import os
import time
from dataclasses import dataclass
from datetime import datetime
from typing import Annotated
from apischema import deserialize, serialize
from apischema.metadata import conversion
# Set UTC timezone for example
os.environ["TZ"] = "UTC"
time.tzset()
def datetime_from_timestamp(timestamp: int) -... |
'''
This file contains the important function that is imported within the module
'''
import numpy as np
import matplotlib.pyplot as plt
from time import time
import os
import glob
from astropy.io import fits
from functools import reduce
from scipy.interpolate import LSQUnivariateSpline as spline
from scipy.interpolat... |
# coding: utf-8
# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import absolute_import
import sys
import unittest
im... |
# -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import logging
from resilient_circuits import ResilientComponent, function, handler, StatusMessage, FunctionResult, FunctionError
from fn_ldap_multidomain_utilities.util.helper import LDAPUtilitiesHelper
from as... |
strIN = input("String to calculate the lenght: ")
print(f'Length: {len(strIN)}')
|
"""
<<<<<<<<<<Base Class Initializers>>>>>>>>>>>
-> Unlike C++ and Java, Python doesn't automatically call base class initializers.
-> __init__ is treated just like any other method.
-> If a subclass defines __init__, it must explicitly call the base class implementation for it to be run.
"""
"""
<<<<<<<<<Type Inspect... |
import re
import stanza
import deplacy
config = {
'processors': 'tokenize,pos,lemma,depparse',
'lang': 'en',
}
nlp = stanza.Pipeline(**config)
string = "The Old Kingdom is the period in the third millennium also known as the 'Age of the Pyramids' or 'Age of the Pyramid Builders' as it includes the great 4th D... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 10 18:05:15 2018
@author: LocalAdmin
"""
import numpy as np
import cv2
from matplotlib import pyplot as plt
def read_stereo_image(im="stereo_image_explorer.bmp"):
cv_im = cv2.imread(im);
imgL = cv_im[0:96, 126:252, :];
imgR = cv_im[0:96, 0:126, :];
retur... |
"""
Networks used in the main paper
"""
from mixmo.utils.logger import get_logger
from mixmo.networks import resnet, wrn
LOGGER = get_logger(__name__, level="DEBUG")
def get_network(config_network, config_args):
"""
Return a new instance of network
"""
# Available networks for tiny
if conf... |
"""
Application module does all REST API operations on application endpoint
"""
import random
import urllib
from common import assert_status_code, assert_content_type_json, \
load_json_schema, assert_valid_schema, assert_valid_schema_error
from httpstatus import HTTP_OK, HTTP_NOT_FOUND, HTTP_CREATED... |
import logging
import time as timer
import angr
lw = logging.getLogger("CustomSimProcedureWindows")
class GetTempFileNameA(angr.SimProcedure):
def decodeString(self, ptr):
fileName = self.state.mem[ptr].string.concrete
return fileName
def run(self, lpPathName, lpPrefixString, uUnique, lpTemp... |
#!/usr/bin/env python
import rospy
from std_msgs.msg import UInt16, String
from sensor_msgs.msg import Joy
from math import atan2
import numpy as np
import time
class RobotArmControl(object):
def __init__(self):
self.msg = Joy()
self.torso_pos = 90
self.shoulder_pos = 45
self.elbow_pos = ... |
import datetime
from docx.shared import Cm
from docxtpl import DocxTemplate, InlineImage
"""""
Работа с текстами
"""""
def get_context(company, result_sku_list): # возвращает словарь аргуменов
return {
'retailer': company,
'sku_list': result_sku_list,
}
def from_template(company, result_s... |
import os
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, generate_password_hash
import time
import datetime as dt
import secrets
import random
## TODO check in requirements
from flask import Flask, flash, jsonify, redirect, ren... |
# Copyright 2018 Luddite Labs 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 required by applicable law or agreed to in writing... |
#!/usr/bin/env python
"""
Load API client for a Tool Registry Service (TRS) endpoint based
either on the GA4GH specification or an existing client library.
"""
import logging
from bravado.requests_client import RequestsClient
from ga4ghtest.core.config import trs_config
from .client import TRSClient
logger = logging... |
# Copyright 2019 The PlaNet 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 applicable... |
from typing import List, Optional, Tuple
from pydantic import BaseModel
class DMInputParams(BaseModel):
scale: float
size: Tuple[int, int]
mean: Optional[Tuple[float, ...]]
swapRB: Optional[bool]
crop: Optional[bool]
class Config:
allow_population_by_field_name = True
fields ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_mldmp
----------------------------------
Tests for `maximum likelihood MDP` module.
"""
import random
import unittest2
from tests.test_learner import TestLearner
from rltools.learners import MLMDP
from rltools.strategies import Strategy
from rltools.domains imp... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : dimension.py
# Author : Honghua Dong
# Email : dhh19951@gmail.com
# Date : 04/20/2018
#
# This file is part of TextualReasoning-PyTorch.
# Distributed under terms of the MIT license.
import itertools
import torch
import torch.nn as nn
from jactorch.functi... |
import logging
import utils
import constants
logging.basicConfig(
level=logging.DEBUG,
format=constants.logfmt,
handlers=[logging.StreamHandler(), logging.FileHandler('../../data/logs/make_station_tree.log', 'w')],
)
logging.debug("started")
stations = utils.load_stations()
tree, node_station = utils.make_... |
# Copyright (C) 2020 NTT DATA
# 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 ... |
"""
This package contains support code to package Salt with PyInstaller.
"""
|
from django import http
from django.shortcuts import render
from django.views import View
from address.models import Area
from utils.response_code import RET
class Areas(View):
# get /api/v1.0/areas/
def get(self, request):
"""展示区域数据"""
try:
areas = Area.objects.all()... |
import os
import requests
with open('raw.csv') as f:
lis=[line.split(',') for line in f]
for i, person in enumerate(lis):
person[0] = person[0].replace(' ', '_')
person[1] = person[1].strip('\n')
print("Will create dir {0}, and store image from {1}".format(person[0], person[1]))
... |
from . import BaseHandler, apply_request_schema, apply_response_schema
from .exceptions import NotFoundError, ValidationError
from ..aliases import AliasNotFound, AliasStoreType
from ..aliases.manager import redact, reveal
from ..schemas.aliases import (
AliasResponseSchema,
AliasesResponseSchema,
RedactReq... |
#! /usr/bin/env python
# -*- coding: iso-8859-15 -*-
##############################################################################
# Copyright 2003 & onward LASMEA UMR 6602 CNRS/Univ. Clermont II
# Copyright 2009 & onward LRI UMR 8623 CNRS/Univ Paris Sud XI
#
# Distributed under the Boost ... |
# coding=utf-8
# Licensed Materials - Property of IBM
# Copyright IBM Corp. 2020
from streamsx.topology.schema import StreamSchema
#
# Defines Message types with default attribute names and types.
_SPL_SCHEMA_ACCESS_TOKEN = 'tuple<rstring access_token, rstring refresh_token, rstring scope, int64 expiration, rstring t... |
# Copyright 2013 Rackspace, 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 required by applicable law or agreed to in writing... |
from flask_sqlalchemy import SQLAlchemy
import json
db = SQLAlchemy()
class Interface(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String, unique=True)
url = db.Column(db.String)
query_string = db.Column(db.String)
active = db.Column(db.Boolean, index=True)
defa... |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 28 15:08:20 2014
@author: aitor
"""
import datetime
import json
import gzip
import time
import sys
import tweepy
from tweepy import StreamListener, Stream
credentials = json.load(open('credentials.json', 'r'))
CONSUMER_KEY = credentials['consumer_key']
CONSUMER_SECRET =... |
"""Copyright © 2020-present, Swisscom (Schweiz) AG.
All rights reserved.
AnalyticalSolver, used to solve the Quadratic
Constrained Optimization Problem for 2 gradients
analytically.
The AnalyticalSolver class contains the implementation of
the analytical QCOP Solver for 2 gradients.
"""
from copsolver.copsolver impor... |
# !/usr/bin/env python3
# -*-coding:utf-8-*-
# @file: attenStereoNet_embed_sga_11.py
# @brief:
# @author: Changjiang Cai, ccai1@stevens.edu, caicj5351@gmail.com
# @version: 0.0.1
# @creation date: 16-10-2019
# @last modified: Mon 11 May 2020 01:02:03 AM EDT
import torch
import torch.nn as nn
import torch.nn.functional... |
"""
Receives a command with search table results from search engine and calls filer
and utils modules to handle the command.
"""
class CommandHandler:
"""
Handles commands from searchengine.
"""
pass
|
from output.models.nist_data.atomic.non_negative_integer.schema_instance.nistschema_sv_iv_atomic_non_negative_integer_min_inclusive_2_xsd.nistschema_sv_iv_atomic_non_negative_integer_min_inclusive_2 import NistschemaSvIvAtomicNonNegativeIntegerMinInclusive2
__all__ = [
"NistschemaSvIvAtomicNonNegativeIntegerMinInc... |
"""
This packages implements tomography algorithms and utilities in
python. It is made of several modules, as follows:
- siddon: The core of the package, with a fast C/OpenMP
implementation of the Siddon algorithm.
See: http://adsabs.harvard.edu/abs/1985MedPh..12..252S
- simu: Implements some utilities to perform... |
"""Defines various distribution models."""
import numpy as np
import numpy.random as rnd
import scipy.stats as stats
from warnings import warn
import serums.enums as enums
class BaseSingleModel:
"""Generic base class for distribution models.
This defines the required functions and provides their recommended... |
import time
import usb.core, usb.util
# generateWords
from random import choice
from wordlist import wordlist
# detectHuman
import pygame
def generateWords():
return " ".join([choice(wordlist) for x in range(4)])
def detectHuman():
pygame.init()
pygame.event.set_grab(True)
screen = pygame.display.se... |
# Copyright 2020 Canonical Ltd
#
# 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 writing, s... |
import sys
import pytest
@pytest.mark.parametrize("mode", ["normal", "xdist"])
class TestFixture:
"""
Tests for ``subtests`` fixture.
"""
@pytest.fixture
def simple_script(self, testdir):
testdir.makepyfile(
"""
def test_foo(subtests):
for i in ran... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0084_auto_20151125_2051'),
]
operations = [
migrations.AddField(
model_name='activity',
name=... |
import glob
import os
import random
import re
import cv2
import numpy as np
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau
from .data_generator import DataGenerator
from .losses i... |
# -*- coding: utf-8 -*-
import mysql.connector
def store_mysql(filepath):
conn = mysql.connector.connect(user = 'root', password = '1207', database = 'ShowMeTheCode')
cursor = conn.cursor()
# 判断表是否已经存在
cursor.execute('show tables in ShowMeTheCode;')
tables = cursor.fetchall()
findtables = Fal... |
from api import app
from api import database
from flask import jsonify
from flask import request
@app.route('/companies', methods=['POST'])
def create_company():
company = request.get_json()
db = database()
db.update(company)
return jsonify(company), 201 |
import unittest
from Familytree.individual import Person
from Familytree.relations import Relations
from Familytree import variables
from unittest.mock import patch, Mock
from tests import mock_member_creation
class MyTestCase(unittest.TestCase):
def setUp(self):
self.member = Person(1, "Hubby", "Male")
... |
name = 'stemplar'
__version__ = '0.0.1' |
from __future__ import unicode_literals
from redis.exceptions import DataError, ResponseError
from limpyd import fields
from limpyd.exceptions import UniquenessError
from ..base import LimpydBaseTest
from ..model import TestRedisModel
class HMTest(LimpydBaseTest):
"""
Test behavior of hmset and hmget
"... |
'''
Faça um Programa que pergunte em que turno você estuda. Peça para digitar M-matutino ou V-Vespertino ou N- Noturno. Imprima a mensagem "Bom Dia!", "Boa Tarde!" ou "Boa Noite!" ou "Valor Inválido!", conforme o caso.
'''
print('Em que turno voce estuda:')
turno = str(input('''
M-matutino
V-vesperino
N-noturn... |
import socket
import struct
def quad2int(ip):
return struct.unpack("!L", socket.inet_aton(ip))[0]
def int2quad(ip):
return socket.inet_ntoa(struct.pack('!L', ip))
|
import logging
from bson.errors import InvalidId
from django.http import JsonResponse, HttpResponseNotFound, HttpResponseBadRequest, HttpResponse
from django.views.decorators.csrf import csrf_exempt
from api.models import db_model
from bson import ObjectId
from api.models.auth import RequireLogin
from api.models import... |
from .__about__ import __version__
from .riak_repl import RiakReplCheck
__all__ = ['__version__', 'RiakReplCheck']
|
"""
@Author: huuuuusy
@GitHub: https://github.com/huuuuusy
系统： Ubuntu 18.04
IDE: VS Code 1.36
工具： python == 3.7.3
"""
"""
思路:
类似斐波那契数列，动态规划
结果：
执行用时 : 48 ms, 在所有 Python3 提交中击败了68.02%的用户
内存消耗 : 13.8 MB, 在所有 Python3 提交中击败了5.22%的用户
"""
class Solution:
def climbStairs(self, n):
# 类似斐波那契数列的解法
... |
# The MIT License (MIT)
#
# Copyright (c) 2019 Scott Shawcroft for Adafruit Industries LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation ... |
import pandas as pd
import pytest
from pyspark.sql import DataFrame
from sparkypandy import Columny, DataFramy
from sparkypandy.testing import assert_series_equal
from tests.conftest import ALL_COLUMN_NAMES, NUMERIC_COLUMN_NAMES
class TestColumny:
@pytest.mark.parametrize("col_name", ALL_COLUMN_NAMES) # type: i... |
# Copyright (c) 2020 PaddlePaddle 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 appli... |
from __future__ import print_function
from __future__ import absolute_import
from argparse import ArgumentParser
import datetime
import os
import pkg_resources
import sphinx.cmd.quickstart as sphinx_quickstart
from sphinx.util.console import bold
from hieroglyph import version
def ask_user(d):
"""Wrap sphinx.c... |
#!/usr/bin/env python3
import os
from setuptools import setup
about = {} # type: ignore
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, "url_hostname", "__version__.py")) as f:
exec(f.read(), about)
setup(
name=about["__title__"],
description=about["__description__"],
... |
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import time
class Worker(QRunnable):
'''
Worker thread
'''
@pyqtSlot()
def run(self):
'''
Your code goes in this function
'''
print("Thread start")
time.sleep(5)
prin... |
from codewars.decode_morse_adv import decode_bits, decode_morse
def test_simple_messages() -> None:
assert decode_bits('111') == '.'
assert decode_bits('111000111') == '..'
assert decode_bits('111000111000111') == '...'
assert decode_bits('10001') == '. .'
assert decode_bits('111000000000111') == ... |
from django.contrib import admin
from profiles_api import models
## Models need to be defined to be later used for Admin.
admin.site.register(models.UserProfile)
admin.site.register(models.ProfileFeedItem)
|
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .views import (
UserRegisterAPIView, UserLoginAPIView, UserLogoutAPIView,
PasswordChangeAPIView, DepartamentViewSet, UserViewSet)
app_name = 'accounts'
router = DefaultRouter()
router.register(r'departaments', Departa... |
import twitter
import mysql.connector
import json
import os
def collect_data_about(name, twitter_api, cursor):
MAX_ENTRY_PER_PERSON = 1000
print(f'Quering twitter API for: {name}')
search_results = twitter_api.search.tweets(q=name, count=100, lang='en')
processStatusCounter = 0
while True:
try:
... |
from argparse import ArgumentParser
class ModelTrainingArgs(ArgumentParser):
def __init__(self):
super().__init__()
self.add_argument("-d", "--dataset", help="Dataset name")
self.add_argument("-c", "--config", help="Config file path")
self.add_argument(
"--debug", actio... |
from sklearn import tree
from dataset import TransDataset
import numpy as np
trans_dataset = TransDataset()
X, y = trans_dataset.get_x_y()
print(np.array(X).shape)
print(np.array(y).shape)
regressor = tree.DecisionTreeRegressor()
regressor = regressor.fit(X, y)
test_dataset = TransDataset("test")
test_x, test_y = t... |
URL = "https://www.omdbapi.com/"
|
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