content stringlengths 5 1.05M |
|---|
import socket
from typing import Any
import orjson
from fastapi.responses import ORJSONResponse as O
from pydantic import BaseModel
def default_encode(obj):
if isinstance(obj, BaseModel):
return obj.dict()
raise NotImplementedError
class ORJSONResponse(O):
def render(self, content: Any) -> byte... |
# Copyright 2018 the Deno authors. All rights reserved. MIT license.
"""
Computes the SHA256 hash and formats the result.
"""
import argparse
from hashlib import sha256
import os
import sys
def main():
parser = argparse.ArgumentParser(description=__doc__)
# Arguments specifying where input comes from.
#... |
import bs4 as bs
import urllib.request
def get_article(site='https://www.brainpickings.org/2016/08/16/friendship/'):
# Scraping data using urllib and then parsing using beautifulsoup (by paragraph)
scraped_data = urllib.request.urlopen(site)
article = scraped_data.read()
parsed_artic... |
"""Contains all exposed elements from the handlers.
"""
# Run an OS scrape of the handlers folder and return
# the read_x and write_x for each handler.
__all__ = [] |
import tensorflow as tf
import numpy as np
n_inputs = 3
n_neuros = 5
n_steps = 2
seq_length = tf.placeholder(tf.int32, [None])
X = tf.placeholder(tf.float32, [None, n_steps, n_inputs])
X_seqs = tf.unstack(tf.transpose(X, perm=[1, 0, 2]))
basic_cell = tf.contrib.rnn.BasicRNNCell(num_units=n_neuros)
output_seqs, ... |
# -*- coding: utf-8 -*-
import click
from rich.console import Console
from .add import add
from .mklib import mklib
CONSOLE = Console()
@click.group()
def main():
pass
mklib = main.command(help="Create new empty library.")(mklib)
add = main.command(help="Add model to existing library.")(add)
|
from mongoengine.errors import (DoesNotExist, MultipleObjectsReturned,
InvalidQueryError, OperationError,
NotUniqueError)
from mongoengine.queryset.field_list import *
from mongoengine.queryset.manager import *
from mongoengine.queryset.queryset import *
f... |
from com.xhaus.jyson import JysonCodec as json
from ij.plugin.frame import RoiManager
from ij.io import OpenDialog
from ij.gui import Roi, PolygonRoi
import sys
def get_roi(data):
if data['type'] == 'polygon':
return PolygonRoi(data['x'], data['y'], data['count'], Roi.POLYGON)
elif data['type'] == 'co... |
# RC4
# https://en.wikipedia.org/wiki/RC4
# Key-scheduling algorithm (KSA)
def ksa(key):
s = []
for i in range(0, 256):
s.append(i)
j = 0
for i in range(0, 256):
j = (j + s[i] + ord(key[i % len(key)])) % 256
s[i], s[j] = s[j], s[i]
return s
# Pseudo-random generation algor... |
# -*- coding: utf-8 -*-
# The above encoding declaration is required and the file must be saved as UTF-8
import random
class LotoTron:
pass
def __init__(self, min_num=1, max_num=90):
self._min_num = min_num
self._max_num = max_num
self._src_list = list(range(self._min_num, self._max_... |
import pytest
from texthooks.fix_ligatures import parse_args as fix_ligatures_parse_args
from texthooks.fix_smartquotes import (
DEFAULT_DOUBLE_QUOTE_CODEPOINTS,
DEFAULT_SINGLE_QUOTE_CODEPOINTS,
)
from texthooks.fix_smartquotes import parse_args as fix_smartquotes_parse_args
def test_fix_ligatures_arg_parsin... |
#!/usr/bin/env python
""" Calculate the number of increases in a list of subsequent measurements which are smoothed
in a sliding window. Measurements are read from file
"""
import fileinput
import sys
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: day1_sonar_sweep_part2.py <measurements... |
import sys
from inference_model import InferenceModel
from shared_latent_space import SharedLatentSpace
from decoder_train import DecoderTrain
from training import Training
from testing import Testing
from reconstructor import Reconstructor
from visualizer import Visualizer
import warnings
warnings.filterwarnings("igno... |
import numpy as np
from scipy.stats import multivariate_normal
from to.probabilistic_model import ProbabilisticModel
class MixtureModel(object):
def __init__(self, allModels, alpha=False):
self.model_list = allModels.copy()
self.nModels = len(allModels)
if alpha is False:
self.a... |
from collections import namedtuple
DetectedObjectTuple = namedtuple('DetectedObject', 'id label x y w h score frame timestamp')
class DetectedObject(DetectedObjectTuple):
@property
def cx(self):
return self.x + self.w / 2
@property
def cy(self):
return self.y + self.h / 2
@staticmethod
def fro... |
from abc import ABCMeta, abstractmethod
import logging
import time
import pause
logging.basicConfig()
class Timer(object):
""" Timer abstract base class represents interface for a periodic timer. """
__metaclass__=ABCMeta
@abstractmethod
def wait(self):
pass
@abstractmethod
def ... |
# Create a block storage
from oneandone.client import OneAndOneService, BlockStorage
client = OneAndOneService('<API-TOKEN>')
block_storage = BlockStorage(name='My new block storage',
description='My block storage description',
size=20,
... |
import chainer
from chainer.dataset import convert
from chainer.training import StandardUpdater
def fetch(iterators, converter, device=None):
return converter(iterators['main'].next(), device)
class TrainingStep(StandardUpdater):
def __init__(self, iterator, optimizer, metrics_func,
conve... |
# -*- coding: utf-8 -*- #
# Copyright 2017 Google LLC. 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 requir... |
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: root.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf i... |
# Copyright 2019 Google LLC
#
# 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, ... |
# coding: utf-8
from keras.applications.imagenet_utils import preprocess_input
from keras.preprocessing import image
from scipy.misc import imread
import tensorflow as tf
from keras import backend as K
import time
from plot_util import *
from flow_util import *
from ssd_v2 import SSD300v2
from ssd_conv4_3... |
"""
.. module:: PickleWrapper
:synopsis: Wrapper for cPickle object saving package
.. moduleauthor:: Ambra Demontis <ambra.demontis@unica.it>
.. moduleauthor:: Marco Melis <marco.melis@unica.it>
"""
import pickle
import gzip
from secml.utils import fm
# Remember to add any new method to following list
__all__ = ... |
#!/usr/bin/env python3
import argparse
import pygamer
import numpy as np
import pyvista as pv
import pyacvd
import vtk
from pathlib import Path
from lightdock.pdbutil.PDBIO import create_pdb_from_points
def parse_command_line():
"""Parses command line arguments"""
parser = argparse.ArgumentParser(prog='surfa... |
import numpy as np
from .contrib import transformations
from . import math_utils
def translation_matrix(offset):
mat = np.eye(4, dtype=offset.dtype)
mat[:3, 3] = offset
return mat
def apply_translation(mat, offset):
offset_mat = translation_matrix(offset)
print(offset, offset_mat)
mat[...] =... |
import os
import numpy as np
import json
from PIL import Image
from model import *
kernels = buildKernels()
def detect_red_light(I):
'''
This function takes a numpy array <I> and returns a list <bounding_boxes>.
The list <bounding_boxes> should have one element for each red light in the
image. Each el... |
import warnings
from functools import partial
from typing import Any, List, Optional, Type, Union
from ...models.resnet import BasicBlock, Bottleneck, ResNet
from ..transforms.presets import ImageNetEval
from ._api import Weights, WeightEntry
from ._meta import _IMAGENET_CATEGORIES
__all__ = ["ResNet", "ResNet50Weig... |
import os
import gzip
import torch
from torch.utils.data import Dataset
import numpy as np
import cv2
from .utils import IMAGE_CHANNELS, IMAGE_HEIGHT, IMAGE_WIDTH, cache_path, ImageDataset, one_hot, file_md5, download_file
from vaetc.utils import debug_print
from struct import unpack
def read_binary_matrix(file_pat... |
from django.db import models
from Category.models import Category
class City(models.Model):
name = models.CharField(max_length=20, unique=True)
categories = models.ManyToManyField(Category)
def __str__(self):
return self.name
# class Area(models.Model):
# name = models.CharField(max_length... |
"""
dlam trying to make this old 'shorturls' package compatible with 2.0!
"""
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
try:
from importlib import import_module
except:
from django.utils.importlib import import_module
from shorturls import baseconv
default_conver... |
from thenewboston_node.business_logic.models import (
NodeDeclarationSignedChangeRequestMessage, SignedChangeRequestMessage
)
def test_can_deserialize_from_base_class():
instance = SignedChangeRequestMessage.deserialize_from_dict({
'signed_change_request_type': 'nd',
'node': {
'net... |
import random
# TODO: Get this outta here!
spinner_choice = random.choice(['aesthetic', 'arc', 'arrow3', 'betaWave', 'balloon',
'bounce', 'bouncingBar', 'circle', 'dots', 'line', 'squish', 'toggle10', 'pong'])
# TODO: Replace these removed soundtracks
soundtrack_files = [
"talc_soundtrack.mp3",
"talc_soundtrac... |
from lime.lime_image import *
import pandas as pd
import yaml
import os
import datetime
import dill
import cv2
import numpy as np
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from src.visualization.visualize import visualize_explanation
from src.pred... |
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class Libslirp(MesonPackage):
"""General purpose TCP-IP emulator"""
homepage = '... |
from libya_elections.admin_models import LibyaAdminModel
from libya_elections.admin_site import admin_site
from .models import Subscription
class SubscriptionAdmin(LibyaAdminModel):
list_display = ['__str__', 'get_subscription_type_display']
list_filter = ['subscription_type']
raw_id_fields = ['user']
a... |
"""The expected interface for all learner implementations."""
from abc import ABC, abstractmethod
from typing import Any, Sequence, Dict, Union, Tuple, Optional
from coba.simulations import Context, Action, Key
class Learner(ABC):
"""The interface for Learner implementations."""
@property
@abstractmetho... |
try:
from unittest import mock
except ImportError:
import mock
from rest_framework import status
from rest_framework.reverse import reverse
url = reverse("rest-email-auth:password-reset")
@mock.patch(
"rest_email_auth.views.serializers.PasswordResetSerializer.save",
autospec=True,
)
def test_reques... |
from .capeval.cider import Cider |
import asyncio
import logging
import types
import typing
import enum
from dataclasses import dataclass
from ..types import ASGIApp, Message
from ..exceptions import LifespanUnsupported, LifespanFailure, UnexpectedMessage
class LifespanCycleState(enum.Enum):
"""
The state of the ASGI `lifespan` connection.
... |
from gii.core import *
from gii.moai.MOAIEditCanvas import MOAIEditCanvas
from gii.AssetEditor import AssetPreviewer
from gii.qt.helpers import addWidgetWithLayout
from PyQt4 import uic
from PyQt4 import QtGui
def _getModulePath( path ):
import os.path
return os.path.dirname( __f... |
# Build Single Element
#
# Create an OpenMC model of just a single lonely fuel element
import numpy
import openmc
import sys; sys.path.append('../..')
import treat
class SingleFuelElementBuilder(treat.CoreBuilder):
def __init__(self, material_lib, name="Single Fuel Element"):
super().__init__(material_lib, 1, nam... |
import unittest
from context import src
from context import config
class TestEnvironment(unittest.TestCase):
def setUp(self):
self.env = src.simulation.environment.Environment(config)
def test_instance(self):
self.assertIsNotNone(self.env)
def test_add_patch(self):
... |
#
# Copyright (C) 2020 IBM. All Rights Reserved.
#
# See LICENSE.txt file in the root directory
# of this source tree for licensing information.
#
import json
import os
from clai.emulator.emulator_docker_bridge import EmulatorDockerBridge
# pylint: disable=too-many-instance-attributes
from clai.server.command_runner.c... |
import functools
import re
from unittest import mock
import numpy
import pytest
try:
import scipy.sparse
scipy_available = True
except ImportError:
scipy_available = False
import cupy
from cupy import testing
from cupy.cuda import runtime
from cupyx.scipy import sparse
from cupyx.scipy.sparse import _cons... |
from datetime import datetime
from flask import Flask, render_template
import json
import requests
from spotify_api.api import SpotifyApi
app = Flask(__name__)
s_api = SpotifyApi()
LASTFM_API_KEY = "b9ba81a4f80bbff4fa3fcf7df609947e"
LASTFM_API_SECRET = "65f9cf1308e52e3369c5eeb992fa846a"
def getRecentTracks(user):
... |
# coding: utf-8
"""
syntropy-controller
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
imp... |
from IProcess import IProcess, EDataType
from PIL import Image
import numpy as np
import math
import cv2
class CropImageByClass(IProcess):
def __init__(self):
IProcess.__init__(self)
self.cropped = True
def getType(self):
return EDataType.CroppedPic
def toId(self):
return str(__class__.__name__)
def d... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'GeneratorControl.ui'
#
# Created by: PyQt5 UI code generator 5.9.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_GeneratorControlMain(object):
def setupUi(self, GeneratorCo... |
import logging
import requests
logger = logging.getLogger(__name__)
URLS = {
"get_message_from_sqs_queue": "/api/jobs/challenge/queues/{}/",
"delete_message_from_sqs_queue": "/api/jobs/queues/{}/",
"get_submission_by_pk": "/api/jobs/submission/{}",
"get_challenge_phases_by_challenge_pk": "/api/challe... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import torchvision
import torchvision.transforms as transforms
import numpy as np
import math
import matplotlib.pyplot as plt
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from sklearn.... |
# -*- coding: utf-8 -*-
'''
Tests for the Git state
'''
# Import python libs
from __future__ import absolute_import, print_function, unicode_literals
import functools
import inspect
import os
import shutil
import socket
import string
import tempfile
# Import Salt Testing libs
from tests.support.case import ModuleCase... |
from sqlalchemy.sql import sqltypes
from georef_ar_etl.utils import ValidateTableSizeStep
from georef_ar_etl.exceptions import ProcessException
from . import ETLTestCase
class TestValidateTableSizeStep(ETLTestCase):
def test_eq(self):
"""El validador debería retornar la tabla de entrada si su tamaño es el... |
# -*- coding: utf-8 -*-
# @Time : 2022/02/10 16:39:46
# @Author : ddvv
# @Site : https://ddvvmmzz.github.io
# @File : json2tree.py
# @Software : Visual Studio Code
# @WeChat : NextB
from io import StringIO
_branch_extend = '│ '
_branch_mid = '├─ '
_branch_last = '└─ '
_spacing = ' '
lan... |
#
# Tests for LG M50 parameter set loads
#
import pybamm
import unittest
class TestChen(unittest.TestCase):
def test_load_params(self):
anode = pybamm.ParameterValues({}).read_parameters_csv(
pybamm.get_parameters_filepath(
"input/parameters/lithium-ion/anodes/graphite_Chen2020... |
# By manish.17, contest: ITMO Academy. Дерево отрезков часть 1. 1, problem: (A) Segment Tree for the Sum
# https://codeforces.com/profile/manish.17
from math import inf, log2
class SegmentTree:
def __init__(self, array, func=max):
self.n = len(array)
self.size = 2**(int(log2(self.n-1))+1) if self... |
# https://www.codewars.com/kata/517abf86da9663f1d2000003/train/python
# Complete the method/function so that it converts dash/underscore delimited
# words into camel casing. The first word within the output should be capitalized
# only if the original word was capitalized (known as Upper Camel Case, also
# often... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from chainlibpy import CROCoin, GrpcClient, Transaction, Wallet
from chainlibpy.generated.cosmos.bank.v1beta1.tx_pb2 import MsgSend
from chainlibpy.grpc_client import NetworkConfig
# Recommend to use [pystarport](https://pypi.org/project/pystarport/) to setup a testnet ... |
#
# Copyright (c) 2020, NVIDIA 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 ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 7 11:51:53 2019
@author: carsault
"""
#%%
import pickle
import torch
from utilities import chordUtil
from utilities.chordUtil import *
from utilities import testFunc
from utilities.testFunc import *
from utilities import distance
from utilities.di... |
import pytest
from antidote import config, is_compiled
config.auto_detect_type_hints_locals = True
def pytest_runtest_setup(item):
if any(mark.name == "compiled_only" for mark in item.iter_markers()):
if not is_compiled():
pytest.skip("Compiled only test.")
|
from collections import deque
from featuretools.variable_types.variable import Discrete
import warnings
import numpy as np
import string
import pandas
import re
import math
from datetime import datetime, timedelta
from pyzipcode import ZipCodeDatabase
from pandas import Series
from scipy.signal import savgol_filter
... |
import time
import pvl
import pytest
import docker
import numpy as np
from aiohttp.test_utils import loop_context
from web import redis_cache, pdsimage
TEST_REDIS_PORT = 6380
@pytest.fixture(scope='function', autouse=True)
def turn_off_sentry(mocker):
mocker.patch('web.constants.DSN', '')
m... |
from typing import Optional, Callable, Mapping, Any, List
import abc
import torch as tc
from drl.agents.architectures.abstract import Architecture
class StatelessArchitecture(Architecture, metaclass=abc.ABCMeta):
"""
Abstract class for stateless (i.e., memoryless) architectures.
"""
def __init__(
... |
import cocotb
from cocotb.clock import Clock
import cocotb.triggers as triggers
from cocotb.triggers import Timer
import hashes
import bit_handle as bh
report = open('report.txt','w')
@cocotb.test()
async def test(dut):
"""Try accessing the design."""
dut._log.info("Running test...")
cocotb.fork(Clock(du... |
import tempfile
from unittest import mock
from unittest.mock import call
import pytest
from click.testing import CliRunner
from zhinst.labber.cli_script import main
from zhinst.labber import generate_labber_files
def test_cli_script_main():
runner = CliRunner()
result = runner.invoke(main, ["--help"])
as... |
#!MF_PYTHONBIN
# Copyright (C) 2010 The MITRE Corporation. See the toplevel
# file LICENSE for license terms.
import os, sys
MAT_PKG_PYLIB = "MF_MAT_PKG_PYLIB"
sys.path.insert(0, MAT_PKG_PYLIB)
# Must import MAT so that sys.path is enhanced.
import MAT
PLUGIN_DIR = MAT.PluginMgr.LoadPlugins()
#
# Toplevel
#
fro... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 VMware, Inc.
# 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/lic... |
import importlib
import os
class EnvSettings:
def __init__(self):
pytracking_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
self.results_path = '{}/tracking_results/'.format(pytracking_path)
self.segmentation_path = '{}/segmentation_results/'.format(pytracking_path)... |
import logging
import unittest
import numpy as np
from bokeh.models.widgets import DataTable
from pandas import DataFrame
from cave.utils.bokeh_routines import array_to_bokeh_table
class TestCSV2RH(unittest.TestCase):
def setUp(self):
self.rng = np.random.RandomState(42)
def test_array_to_bokeh_ta... |
from scraper import *
s = Scraper(start=112266, end=114047, max_iter=30, scraper_instance=63)
s.scrape_letterboxd() |
import pandas as pd
from ms_mint.Resampler import Resampler
def test__Resampler_50ms_minutes_dt():
chrom = pd.Series([0, 10, 5], index=[0, 0.9, 1])
result = Resampler(smooth=False, tau="50ms", unit="minutes").resample(chrom)
tau_in_seconds = result.index[1] * 60
assert tau_in_seconds == 0.05
def tes... |
import requests
# Vuln Base Info
def info():
return {
"author": "cckuailong",
"name": '''Rusty Joomla RCE - Unauthenticated PHP Object Injection in Joomla CMS''',
"description": '''Unauthenticated PHP Object Injection in Joomla CMS from the release 3.0.0 to the 3.4.6 (releases from 2012 to... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Style:
Google Python Style Guide:
http://google.github.io/styleguide/pyguide.html
@version 1.0.00
@author-name Wayne Schmidt
@author-email wayne.kirk.schmidt@gmail.com
@license-name APACHE 2.0
@license-url http://www.apache... |
# ============================================================================ #
# #
# This is part of the "GrainSizeTools Script" #
# A Python script for characterizing grain size from thin sections ... |
"""
Tools to draw a chord diagram in python
"""
from collections.abc import Sequence
import matplotlib.patches as patches
from matplotlib.colors import ColorConverter
from matplotlib.path import Path
import numpy as np
import scipy.sparse as ssp
from .gradient import gradient
from .utilities import _get_normed_lin... |
import sys
from kapacitor.udf.agent import Agent, Handler, Server
from kapacitor.udf import udf_pb2
import logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s:%(name)s: %(message)s')
logger = logging.getLogger()
class GroupBuffer(object):
def __init__(self):
self._points =... |
from rest_framework import status
from rest_framework.exceptions import ValidationError
from rest_framework.views import exception_handler
def custom_exception_handler(exc, context):
if isinstance(exc, ValidationError) and any(
'unique' in err_codes for err_codes in exc.get_codes().values()):
exc.... |
# -*- coding: utf-8 -*-
"""Logistic_Regression ML.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1lMtFkIGC4EIQ5UNVEs1ob-zUOBImv7fs
"""
import pandas as pd
df = pd.read_csv("/content/drive/MyDrive/Social_Network_Ads.csv")
df
x = df.iloc[:,2:4]... |
test = {
'name': 'Question',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> list2
[7, 14, 21, 28, 35, 42, 49]
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> list_divisible(5, 19... |
def trigger_breakpoint(owner=None):
pass
|
#coding=gb18030
'''
Copyright(c) Funova
FileName : UIOptimizeChecker.py
Creator : pengpeng
Date : 2014-12-25 11:11
Comment :
ModifyHistory :
'''
__version__ = '1.0.0.0'
__author__ = 'pengpeng'
import os
import sys
import re
import string
import csv
import argparse
# import yaml... |
# Python practice exercises
# Course: Automate the Boring Stuff with Python
# Developer: Valeriy B.
# Intro
# Password check
def password():
passwordFile = open('practice/secretPasswordFile.txt')
secretPassword = passwordFile.read()
yourPassword = input("Type the pasword: ")
if yourPassword == secret... |
"""
@author - Anirudh Sharma
"""
def romanToInt(s: str) -> int:
# Dictionary of roman numerals
roman_map = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
# Length of the given string
n = len(s)
# This variable will store result
num = roman_map[s[n - 1]]
# Loop for each c... |
class Solution:
def XXX(self, head: ListNode) -> ListNode:
if head == None or head.next== None: # 考虑空链表或者有头空链表
return head
p = head # 定义一个指针，指向头结点
while True:
if p.val == p.next.val: # 找到重复结点元素
p.next = p.next.next # 直接改变指向，删除该元... |
from PIL import Image
import pickle
from torch.utils.data import Dataset, DataLoader
import torch
from torchvision import transforms
import os
class shirtDataset_train(Dataset):
def __init__(self, path, transform=None):
# read the h5 file
self.full_data = None
with open(path, 'rb') as f:
... |
config.load_autoconfig(False)
config.source("gruvbox.py")
c.content.default_encoding = "utf-8"
c.colors.webpage.prefers_color_scheme_dark = True
c.content.images = False
c.content.javascript.enabled = False
c.content.cookies.accept = "never"
c.content.webrtc_ip_handling_policy = "disable-non-proxied-udp"
c.tabs.last_c... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: Ampel-core/ampel/template/ChannelWithProcsTemplate.py
# License: BSD-3-Clause
# Author: valery brinnel <firstname.lastname@gmail.com>
# Date: 16.10.2019
# Last Modified Date: 05.01.2022
# Last Modified By: v... |
# Longest Increasing Subsequence
class Solution(object):
def lengthOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
# tails[i] = the smallest tail of all increasing subseq with length i+1
# for example given [4, 5, 6, 3],
# tails[1] = 5 (from [4, 5... |
"""
Tests for application package.
"""
|
from .generator_discriminator_v1 import (StyleGAN1Discriminator,
StyleGANv1Generator)
from .generator_discriminator_v2 import (StyleGAN2Discriminator,
StyleGANv2Generator)
from .mspie import MSStyleGAN2Discriminator, MSStyleGANv2Generator... |
'''
Store the references to the dependent data information for a given dataProxy
'''
class DataHistory(object):
def __init__(self, proxy):
self.proxy = proxy
self.history = dict()
self.updateDataRef()
def updateDataRef(self):
self.history[self.proxy.type] = self.proxy.getData(... |
# Generated by Django 3.2 on 2021-05-10 19:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('network', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='account',
name='account_type',
... |
from typing import List, NoReturn
from _thread import start_new_thread
import time
import tempfile
import os
import base64
from .stargate_listen_loop import StargateListenLoop
from .stargate_send_loop import StargateSendLoop
from .helpers import *
from .event_hook import EventHook
class StargateNetwork():
"""Clas... |
# -*- coding: utf-8 -*-
"""
@author: mwahdan
"""
from dialognlu import BertNLU
from dialognlu.readers.goo_format_reader import Reader
train_path = "../data/snips/train"
val_path = "../data/snips/valid"
train_dataset = Reader.read(train_path)
val_dataset = Reader.read(val_path)
save_path = "../saved_models/joint_be... |
class Capture(object):
def __init__(self, client):
self.client = client
def create_capture(self, payment_id, **kwargs):
headers = self.client._get_private_headers()
payload = dict()
payload.update(kwargs)
endpoint = '/payments/{}/captures'.format(payment_id)
ret... |
number1 = 10
number2 = 20
number3 = 30
number4 = 40
number = 50
number = 505050505050
for i in range(5):
print(i)
gaoshenghedahaoren
w s ni d laoban
|
#############################################################################
#
# VFRAME Synthetic Data Generator
# MIT License
# Copyright (c) 2019 Adam Harvey and VFRAME
# https://vframe.io
#
#############################################################################
import click
from vframe.settings import app... |
#!/bin/python3
# Complete the separateNumbers function below.
def separateNumbers(s):
n = len(s)
i = 1
while i <= n // 2:
j = i
a = int(s[:i])
flag = 1
while j < n:
b = str(a + 1)
if s[j:j + len(b)] != b:
flag = 0
brea... |
# coding=utf-8
# Copyright 2022 The HuggingFace Datasets Authors and DataLab 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
#
# Unless required by applicable law or agreed to in wri... |
#!/usr/bin/env python3
#-*- coding: iso-8859-1 -*-
###############################################################################
#
# This module implements the performance graph displaying HTTP interface.
# If the "performance" interface has been started in config_interfaces.py,
# this module is called to process HTT... |
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