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"""Marshmallow (sorry, no Pydantic) validation config schemas."""
from marshmallow import (
INCLUDE,
Schema,
fields as f,
validate as v,
validates_schema,
)
from hikcamerabot.config.schemas.validators import int_min_1, non_empty_str
from hikcamerabot.constants import (
CMD_CAM_ID_REGEX,
FF... |
from __future__ import annotations
import asyncio
import collections
from collections import defaultdict
from contextlib import suppress
from operator import attrgetter
from typing import TYPE_CHECKING, DefaultDict, Deque, List, NamedTuple, Optional, Union
import cachingutils.redis
from bs4 import BeautifulSoup
from... |
################################################################################
# COPYRIGHT(c) 2018 STMicroelectronics #
# #
# Redistribution and use in source and binary forms, with or without ... |
#! /usr/bin/env python3
"""
This module defines functions to generate content for the site.
It does not seem very elegant to generate the whole html "content" part
with functions, so I will try to re-implement these funcions as bottle
templates, and probably get rid of this file.
"""
import datetime
from urllib.parse ... |
import tensorflow as tf
from typing import List, Tuple, Generator
import logging
from abc import ABC, abstractmethod
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
WIDTH = 224
HEIGHT = 224
NUM_CHANNELS = 3
class BaseLoader(ABC):
def __init__(self, batch_size: int, prefetch_size: i... |
import os
import os.path as op
import sys
from typing import List
from watchdog.events import FileSystemEvent
from foremon.config import *
from foremon.display import *
from foremon.monitor import Monitor
from foremon.task import ForemonTask, ScriptTask
from foremon.util import guess_and_update_scripts, relative_if_c... |
# Seleinum script to scrape station address (gu, dong)
from urllib.request import urlopen
from lxml import etree
import urllib
from retrying import retry
import math
import pandas as pd
# Scrape station addresses from 나무위키 using lxml
def scrape_address():
def find_gu_dong(station):
base_url = 'https://na... |
"""
PDF Export logic for test reports via ReportLab.
"""
import os
import uuid
import warnings
try:
from urllib import pathname2url # Python 2.x
except:
from urllib.request import pathname2url # Python 3.x
from schema import Schema, Or
try:
from reportlab.platypus import SimpleDocTemplate
except Exc... |
import machine
import utime
import random
import _thread
import sh1106
import micropython
# Since there's multiple things that are logically grouped together, lets logically group them together.
class SimonIO:
def __init__(self, name, ledPin, buttonPin, buzzerFreq):
self.name = name
self.led = mach... |
import socket
import logging
import sys
import os
import numpy as np
import io
from PIL import Image
from termcolor import colored
from datetime import datetime
import shutil
import math
import tensorflow as tf
import torch
from torch.optim.lr_scheduler import _LRScheduler
class CosineDecayLR(_LRScheduler):
def __i... |
import sys
import time
from multiprocessing import TimeoutError
import pytest
from orion.executor.base import AsyncException, ExecutorClosed, executor_factory
from orion.executor.dask_backend import Dask
from orion.executor.multiprocess_backend import PoolExecutor
from orion.executor.single_backend import SingleExecu... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
# Reference: https://github.com/facebookresearch/music-translation/blob/master/src/wavenet.py
import torch
import torch.n... |
# noqa: D100
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------------------
# I... |
# Copyright 2018 The Feast 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 law or agreed to in wr... |
import re
from marshmallow import fields, Schema, validate
from marshmallow.utils import get_value, missing
from six import iteritems, itervalues
from .collection import ListDescriptor
from .deletion import CASCADE, CLEAR, PROTECT
from .exceptions import ImproperlyConfigured, ValidationError
from .relationships impor... |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.patches import Ellipse
from sklearn.decomposition import PCA
from sklearn.linear_model import LinearRegression
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']
def drop_constant_column(df):
return df.loc[:, (df != df.iloc... |
#!/usr/bin/env python3
"""Module containing the FixBackbone class and the command line interface."""
import argparse
from biobb_common.generic.biobb_object import BiobbObject
from biobb_common.configuration import settings
from biobb_common.tools import file_utils as fu
from biobb_common.tools.file_utils import launch... |
import numpy as np
import torch
import base64
import torch.nn as nn
from tqdm import tqdm
from sklearn.metrics import f1_score
from torch.utils.data import Dataset
if torch.cuda.is_available():
device = torch.device("cuda:0")
else:
device = torch.device("cpu")
class CdmcDataset(Dataset):
def __init__(se... |
import time
import datetime
import numpy as np
import pandas as pd
class elect_use_cost_tou:
def __init__(self, rates):
'''
'use' is a Pandas DataFrame object. Must use column names "datetime" and "Value"
rates is an instance of the class elect_rates
'''
self.rates... |
# Developed by <NAME>, <NAME>
#
# 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://github.com/jtwwang/hanabi/blob/master/LICENSE
#
# Unless required by applicable law or agre... |
from monopoly.consumers.message import build_roll_res_msg, build_game_end_msg, build_buy_land_msg, build_construct_msg, \
build_cancel_decision_msg, build_chat_msg
from monopoly.consumers.util import games, rooms, decisions, readys
from monopoly.core.game import Game
from monopoly.core.land import LandType, Land, B... |
#!/usr/bin/env python3
# encoding: utf-8
# @Time : 2018/9/28 下午12:13
# @Author : yuchangqian
# @Contact : <EMAIL>
# @File : init_func.py.py
import math
import torch
import torch.nn as nn
from seg_opr.conv_2_5d import Conv2_5D_depth, Conv2_5D_disp
def __init_weight(feature, conv_init, norm_layer, bn_eps, bn_mom... |
#!/usr/bin/python
#-----------------------------------------------------------------------------------------------------------------------------------------
# Script Description:
# Functions to correct a trace for shear wave splitting back to original signal, pre anisotropic effects.
# Input variables:
# tr_N - The... |
from .bounding_box import BoundingBox
from .utils import *
from typing import Callable, Iterator, Mapping, Sequence
from os import PathLike
from pathlib import Path
from rich.table import Table
from rich import print as rprint
class Annotation:
"""
Bounding box annotations for one image.
"""
def __... |
# standard library
import datetime
# 3rd party libraries
# project libraries
import core
import translation
class Policies(core.CoreDict):
def __init__(self, manager=None):
core.CoreDict.__init__(self)
self.manager = manager
self.log = self.manager.log if self.manager else None
def get(self):
""... |
import numpy as np
from cv2 import cv2
import random
import huffman
import collections
def zigzag(input):
horizontal = 0
vertical = 0
vertical_max = input.shape[0]
horizontal_max = input.shape[1]
i = 0
output = np.zeros((vertical_max * horizontal_max))
while ((vertical ... |
"""
The MIT License (MIT)
Copyright (c) 2015-present Rapptz
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
the rights to use, copy, modify, merg... |
import numpy as np
import os
import sys
import tensorflow as tf
import cv2
import imutils
import time
from sklearn.metrics import pairwise
from imutils.video import FPS
# sys.path.append('../../research')
from utils import ops as utils_ops
from utils import label_map_util
from utils import visualization_utils as vis... |
import math
import torch.nn as nn
__all__ = ['PreResNet', 'PreBasicBlock']
# ---------------------------Small Data Sets Like CIFAR-10 or CIFAR-100----------------------------
def conv1x1(in_plane, out_plane, stride=1):
"""
1x1 convolutional layer
"""
return nn.Conv2d(in_plane, out_plan... |
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from distutils.command.build_py import build_py
import glob
import os
import platform
import subprocess
from pathlib import Path
from shutil import copyfile
import sys
class FetchDependencies(build_py):
"""
A command... |
# Copyright (c) 2020-2021 The MMSegmentation Authors
# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
import random
import warnings
import numpy as np
import torch
from mmcv.runner import HOOKS, build_optimizer, build_runner
from mmcv.utils import ... |
import seaborn as sns
from matplotlib import pyplot as plt
import math
import warnings
def plotter(f):
def plotter_function(*args, figsize=(12, 12), title=None, title_y=1.03, tight_layout=True, **kwargs):
plt.figure(figsize=figsize, tight_layout=tight_layout)
f(*args, **kwargs)
figure = plt.gc... |
import os
from statistics import mean
import requests
from dotenv import load_dotenv
from terminaltables import AsciiTable
def predict_salary(salary_from, salary_to):
if salary_from and salary_to:
expected_salary = mean([salary_from, salary_to])
elif salary_from and not salary_to:
expected_sa... |
import numpy as np
from numpy.testing.utils import assert_equal
from nose import with_setup
from nose.plugins.attrib import attr
from brian2 import *
from brian2.devices.device import restore_device
@attr('codegen-independent')
def test_timedarray_direct_use():
ta = TimedArray(np.linspace(0, 10, 11), 1*ms)
as... |
from functools import partial
import numpy as np
import chainer
import chainer.functions as F
import chainer.links as L
import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from common.utils import backward_var_iter_nodup
def add(a,b):
return a+b
def named(name, var):
... |
# fat.py; ad-hoc fat16 reader
# by <NAME> <<EMAIL>>
#
# references:
# http://en.wikipedia.org/wiki/File_Allocation_Table
# http://www.ecma-international.org/publications/standards/Ecma-107.htm
#
# example:
# with open("/dev/sdc1") as file:
# fs = FatFs(file)
# for rootdir in fs:
# pr... |
"""Does object detection and segmentation on images."""
import os
import threading
import cv2
import numpy as np
import tensorflow.compat.v1 as tf
from google.protobuf import text_format
tf.disable_eager_execution()
import util_io
from object_detection.builders import image_resizer_builder
from object_detection.infe... |
#
# Copyright (C) 2008 The Android Open Source Project
#
# 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 la... |
import cv2
import numpy as np
import time
from threading import Thread
try:
import pygame
from pygame.locals import K_BACKSPACE
from pygame.locals import K_COMMA
from pygame.locals import K_DOWN
from pygame.locals import K_ESCAPE
from pygame.locals import K_F1
from pygame.locals import K_LE... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Script for plotting 1D DG FEM data stored in VTK files
"""
import glob
import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import argparse
from os.path import join as pjoin
import os
import sys
from glob import glob
from sfepy.discrete.dg.dg_1D... |
from abc import ABCMeta, abstractmethod, abstractproperty
from operator import itemgetter
from .experiment import Experiment, DefaultExperiment
from .ops.random import Sample, FastSample, RandomInteger
from .assignment import Assignment
# decorator for methods that assume assignments have been made
def requires_exp... |
import base64
from datetime import datetime
from datetime import timedelta
import json
import logging
import os
import random
import time
import urllib2
import creds
from models import Session
from models import User
from api.error import BTError
import api.error as error
import api.phone as phone
#import api.apple_a... |
import os
import uuid
import logging
import predix.admin.cf.api
import predix.admin.cf.orgs
import predix.admin.cf.apps
import predix.admin.cf.services
def create_temp_space():
"""
Create a new temporary cloud foundry space for
a project.
"""
# Truncating uuid to just take final 12 characters sin... |
# -*- coding: utf-8 -*-
"""
All possible ply lamination parameters
"""
__version__ = '1.0'
__author__ = '<NAME>'
import sys
import numpy as np
sys.path.append(r'C:\BELLA')
from src.CLA.lampam_functions import calc_delta_lampam_mp_3
from src.CLA.lampam_functions import calc_delta_lampam
def calc_delta_l... |
import hsm
class test_hsm(hsm.Statemachine):
'''
This is a sample Statemachine as in figure 6.2 on page 170
in 'Practical Statecharts in C/C++', ISBN 1-57820-110-1.
'''
def __init__(self):
super().__init__()
self.foo = False
def state_0(self, objSignal):
'This is State "0"!'
if objSign... |
# 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... |
# -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Natural language API.
.. info:
Acknowledgments go to `z0mbiehunt3r <https://twitter.com/z0mbiehunt3r>`_ for his ideas and help.
`Check out his blog <http://blog.alejandronolla.com/2013/05/15/detecting-text-language-with-python-and-nltk/>`_
to know where this modu... |
from email.message import EmailMessage
from django.conf.global_settings import DEFAULT_FROM_EMAIL
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import UserCreationForm
from django.db.models import Q
from django.http import Http404, HttpResponse
from django.shortcuts import re... |
# Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.c (the "License");
# you may not use this file except in compliance with the License.
""" Userbot module containing userid, chatid and log commands"""
from asyncio import sleep
from userbot import BOTLOG, ... |
import os
import json
from argparse import Namespace
import onmt
from onmt.utils.logging import init_logger
from onmt.utils.misc import split_corpus
from onmt.translate.translator import build_translator
from onmt.translate.translator import Translator
import onmt.opts as opts
from onmt.utils.parse import ArgumentPars... |
import json
from http import HTTPStatus
from logging import getLogger
from pyhap.accessory import Accessories
from pyhap.config import (
ControllerPermission,
HAPStatusCode,
)
from pyhap.http_server import (
Request,
Response,
encrypted,
)
from pyhap.pair import (
add_pairing,
exchange,
... |
import os
import argparse
import time
from multiprocessing import cpu_count, Pool
import gzip
import traceback
import chainer
import numpy as np
from scipy.misc import imresize
import gym
import imageio
from lib.utils import log, mkdir, pre_process_image_tensor, post_process_image_tensor
from lib.constants import DO... |
# Copyright 2015-2016 Yelp 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 writin... |
from __future__ import annotations
import datetime
import zoneinfo
from typing import Any, Generic, Optional, TYPE_CHECKING, TypeVar
import aiohttp
import parsedatetime
import discord
from discord.ext import commands
from jishaku.codeblocks import codeblock_converter, Codeblock
from jishaku.modules import Extensio... |
import time
import math
import torch.autograd
import torch.nn as nn
import dcp.utils as utils
class View(nn.Module):
"""
Reshape data from 4 dimension to 2 dimension
"""
def forward(self, x):
assert x.dim() == 2 or x.dim() == 4, "invalid dimension of input {:d}".format(x.dim(... |
import requests, requests.utils
import time, re
import pdb
class PyMsCognitiveException(Exception):
pass
class PyMsCognitiveSearch(object):
"""
Shell class for the individual searches
"""
def __init__(self, api_key, query, query_url, safe=False):
self.api_key = api_key
self.safe = ... |
# Copyright 2012 Nebula, Inc.
# Copyright 2013 IBM Corp.
#
# 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... |
"""Ground motion selection functionality for simulations based on the following papers:
- Bradley, <NAME>. "A generalized conditional intensity measure approach and holistic ground‐motion selection."
Earthquake Engineering & Structural Dynamics 39.12 (2010): 1321-1342.
- Bradley, <NAME>. "A ground motion selection algo... |
import os
import datetime
import numpy as np
import gym
import tensorflow as tf
from tensorflow.keras.models import Sequential, clone_model
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import Adam
from tensorflow.summary import create_file_writer
from cpprb import ReplayBuffer, Priori... |
# -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... |
import torch
import torch.nn as nn
import torchvision.transforms as T
from models import SequentialFlow, Flow, CouplingLayer, ActNormImage
from utils import get_mask
SCALE_L2_REG_COEFF = 5e-5
MAX_GRAD_NORM = 100.
class RealNVP():
def __init__(self, image_shape, hidden_channels, num_resnet, lr, device):
a... |
import hmac
import hashlib
import base64
import json
import jwt
import requests
import uuid
import datetime
import pkg_resources
from pkg_resources import DistributionNotFound
from types import ModuleType
from .constants import URL, HTTP_STATUS_CODE, ERROR_CODE
from . import resources
from .errors import ServerErr... |
"""
This package holds communication aspects
"""
import binascii
import json
import logging
import socket
import traceback
from abc import abstractmethod
from binascii import unhexlify
from threading import Thread
from pylgbst.messages import MsgHubAction
from pylgbst.utilities import str2hex
log = logging.getLogger(... |
import math
import torch
from torch.nn import Parameter
import torch.nn.functional as F
import torch.optim as optim
from sklearn.linear_model import LogisticRegression
from torch_geometric.nn import GCNConv
from deeprobust.graph import utils
from copy import deepcopy
def uniform(size, tensor):
if tensor is not... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import griddata
#from matplotlib.mlab import griddata
import scipy.special as spc
np.cosd = lambda x : np.cos( np.deg2rad(x) )
np.acosd = lambda x : np.arccos( np.deg2rad(x) )
np.sind = lambda x : np.sin( np.deg2rad(x) )
np.asind = lambda x : n... |
import time
import os
import re
import sys
import click
from examples.NIPS.ActivityDetection.prob_ec_testing import test
from examples.NIPS.MNIST.mnist import MNIST_Net, test_MNIST
from examples.NIPS.MNIST.mnist import neural_predicate as default_neural_predicate
sys.path.append('../../../')
from train import train... |
# Copyright (c) 2017 Cable Television Laboratories, Inc. ("CableLabs")
# and others. 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://w... |
import keras
import cv2
import numpy as np
import argparse
from glob import glob
import matplotlib.pyplot as plt
# GPU config
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
from keras import backend as K
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
config.gpu_options.vis... |
import configuration
import data
import discord
import re
intents = discord.Intents.default()
intents.members = True
client = discord.Client(intents=intents)
database = data.Client()
@client.event
async def on_ready():
print('We have logged in as {0.user}'.format(client))
@client.event
async def on_message(me... |
# -*- coding: utf-8 -*-
# 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, softw... |
#The MIT License (MIT)
#Copyright (c) 2014 Microsoft Corporation
#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 the rights
#to use, copy, modi... |
# Copyright (c) 2018, The Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, thi... |
import numpy as np
from joblib import Parallel, delayed
from .multi_sample_split import aggregate_medians, aggregate_quantiles
from .clustered_inference import clustered_inference
def _ensembling(list_beta_hat, list_pval, list_pval_corr, list_one_minus_pval,
list_one_minus_pval_corr, method='quantile... |
import os
import torch
from tqdm import tqdm
import matplotlib.pyplot as plt
import numpy as np
from sklearn.metrics import classification_report, confusion_matrix
import itertools
def plot_confusion_matrix(cm, classes, normalize=False, title='Confusion matrix', cmap=plt.cm.Blues):
if normalize:
cm = cm.... |
# -*- coding: utf-8 -*-
from time import time
from datetime import timedelta
import logging
from argparse import ArgumentParser
from struct import unpack
import zmq
from zmq.eventloop.ioloop import IOLoop
from zmq.eventloop.zmqstream import ZMQStream
from distributed_frontera.settings import Settings
from socket_con... |
#!/usr/bin/python
import gringo
import urwid
import sys
class Plan:
def __init__(self, field, stone, target, move):
mx = min([x for (x, y) in field])
my = min([y for (x, y) in field])
self.width = max([x for (x, y) in field]) - mx + 1
self.height = max([y for... |
# -*- coding: utf-8 -*-
#
from __future__ import print_function
import numpy
import pytest
import sympy
import orthopy
import quadpy
from quadpy.quadrilateral import Product
from helpers import check_degree_ortho
def _integrate_exact(f, quadrilateral):
xi = sympy.DeferredVector("xi")
pxi = (
quadri... |
import torchvision
import os
import utils.DataTools as dt
aug_train = torchvision.transforms.Compose([
torchvision.transforms.Resize(256),
torchvision.transforms.RandomCrop(224),
torchvision.transforms.RandomHorizontalFlip(),
torchvision.transforms.ToTensor(),
torchvision.transforms.Normal... |
from django import http
from django.contrib.auth import mixins
from django.contrib.auth import views as auth_views
from django.views import generic
from main import forms, error_codes, dal, models
from main import statics
from datetime import datetime
from django.urls import resolve
# Create your views here.
# 用户登录
c... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020-2021 Alibaba Group Holding 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 at
#
# http://www.apache.org/licenses/LI... |
# -*- coding: utf-8 -*-
# MIT license
#
# Copyright (c) 2020-2021 <NAME>
# Copyright (c) 2020-2021 Instituto Nacional de Tecnología Industrial
#
# 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 Softwa... |
from __future__ import unicode_literals
from datetime import datetime
from typing import Callable
from django.contrib.auth import get_user_model
from django.db import models
from django.db.models.manager import BaseManager
from django.urls import reverse, reverse_lazy
from django.utils import timezone
from positions ... |
# This implements the "diagnose-nsstring" command, usually installed in the debug session like
# command script import lldb.diagnose
# it is used when NSString summary formatter fails to replicate the logic that went into LLDB making the
# decisions it did and providing some useful context information that can
# be ... |
# -*- coding: utf-8 -*-
import bs #Created By MythB # http://github.com/MythB
from bsSpaz import *
import bsSpaz
import bsUtils
import random
import bsInternal
import MythBAdminList as mbal
class PermissionEffect(object):
def __init__(self,position = (0,1,0),owner = None,prefix ... |
# -*- coding: utf-8 -*-
"""BadgrLite module for automating Badr awards (assertions)"""
# pylint: disable=R1710
# pylint: disable=R1710
import json
import os
import requests
from requests.models import Response
from badgr_lite import exceptions
from .helpers import pythonic, to_datetime
class Badge:
"""Python... |
from typing import Optional, List, Union, Set, Dict, Sequence, Any, Tuple
from numbers import Real
import itertools
import numbers
import sympy
import numpy as np
from qupulse.utils.sympy import IndexedBroadcast
from qupulse.utils.types import ChannelID
from qupulse.expressions import Expression, ExpressionScalar
fro... |
from collections import OrderedDict
import numpy as np
import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedM... |
# Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
from google.appengine.ext import ndb
from gae_libs import dashboard_util
from gae_libs.handlers.base_handler import BaseHandler
from gae_libs.handlers.base_... |
from __future__ import print_function
import h5py
import sys
import numpy as np
class NanoporeModel(object):
def __init__(self, fast5File):
self.fastFive = h5py.File(fast5File, "r")
self.stay_prob = 0
self.skip_prob_bins = []
self.model_name = ''
self.model = None
def ... |
import tweepy
import pandas as pd
from langdetect import detect
from .sentiment import analyse_per_language
from .datahandler import DataHandler
import gc
class GlobalStreamListener(tweepy.StreamListener):
"""
Twitter listener. collects tweets and stores it to a data-handler
"""
def __init__(self, lan... |
#!/usr/bin/env python3
'''
Author: AGDC Services
Website: AGDCservices.com
Date: 20210501
This is a Command and Control(C2) server simulator for TCP traffic
Usage:
- Fill in the variables at the top of main
- write your custom C2 code in the "Start of C2 Simulation Code"
section in main a... |
# coding: utf8
# Author: <NAME>
# Date: 03/2013
from unittest import TestCase
TestCase.maxDiff = None
""" Base class for Nikola test cases """
__all__ = ["BaseTestCase", "cd", "LocaleSupportInTesting"]
import os
import sys
from contextlib import contextmanager
import locale
import unittest
import logbook
imp... |
#!/usr/bin/python3 -B
import platform
from collections import OrderedDict
from subprocess import Popen, PIPE, TimeoutExpired
# get OS related information
def platform_info():
distro = platform.linux_distribution()
return(distro)
# get DGX platform related information
def dgx_info():
dgx = {}
with ope... |
import numpy as np
import cv2
import torch
import torchvision.transforms as transforms
def skew(x):
return np.array([[0, -x[2], x[1]], [x[2], 0, -x[0]], [-x[1], x[0], 0]])
def compute_fundamental_from_poses(K_src, K_dst, T_src, T_dst):
T_src2dst = T_dst.dot(np.linalg.inv(T_src))
R = T_src2dst[:3, :3]
... |
import logging
import os
from typing import Any, Dict, List, Optional, Tuple
import joblib
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import scipy.sparse as ss
from gleams.feature import encoder, spectrum
from gleams.ms_io import ms_io
logger = logging.getLogger('gleams... |
# Module for caculate view and scene graph similarity scores \in (0,1)
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Wedge
from termcolor import colored
from matplotlib.collections import PatchCollection
from numpy import matlib as mb
from lib.params import *
# color map and setting... |
"""CAS login/logout replacement views"""
import sys
import types
from six.moves import urllib_parse
from django.conf import settings
from django.http import HttpResponseRedirect
from django.core.exceptions import PermissionDenied
from django.http import HttpResponse
from django.utils import timezone
from django.vi... |
from sumpy.annotators._annotator_base import _AnnotatorBase
from sumpy.annotators import SentenceTokenizerMixin, WordTokenizerMixin
from sumpy.document import Summary
from abc import ABCMeta, abstractmethod
import pandas as pd
import numpy as np
import networkx as nx
class _SystemBase(object):
"""Abstract base cla... |
#!/usr/bin/env python3
import zmq
import os
import subprocess
import time
import io
from numpy import * # genfromtxt, array
import sys
sys.path.append('../src/master')
import control_pb2
FMUS_DIR = '../build/umit-fmus' if not 'FMUS_DIR' in os.environ else os.environ['FMUS_DIR']
fmu = os.path.join(FMUS_DIR, 'tests/type... |
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