text stringlengths 3.07k 22.1k |
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# This tests Pmw option and component handling.
import tkinter
import Test
import Pmw
Test.initialise()
"""
Definitions:
initialisation option: an option that can be set in the call
to the constructor but not in configure()
configuration option: an option that can be set in the call... |
import argparse
import json
import logging
import os
from os import listdir
from os.path import isfile, join
from collections import Counter
from nlp.data import load_text_file
from nlp.preprocessing import prepareText, frequencies
from echr.utils.folders import make_build_folder
from echr.utils.logger import getlogg... |
'''
Diamond wing
'''
import numpy as np
from scipy.interpolate import interp1d
from cst_modeling.basic import BasicSection, BasicSurface, plot3d_to_igs
from cst_modeling.foil import dist_clustcos, cst_foil
def base_shape(x_ref: np.ndarray, x_LE: float, x_TE: float,
l_LE: float, l_TE: float, h: float... |
# import torch
import re
import os
import sys
import json
import nltk
import argparse
import numpy as np
from rouge import Rouge
from tqdm import tqdm
from collections import Counter
from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction
from nltk.translate.meteor_score import single_meteor_score
from u... |
# Copyright (c) <NAME>, 2007
__docformat__ = 'reStructuredText'
__all__ = ['GaussianProcess','GPEvaluation','GPSubmodel']
import pymc as pm
import copy
import numpy as np
from .Realization import Realization
__all__ = ['GaussianProcess', 'GPEvaluation', 'GPSubmodel']
def gp_logp(x, M, C, mesh, f_eval, M_obs, C_ob... |
# -*- coding: utf-8 -*
# 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
#
#... |
import sys
sys.path.insert(0, "../../python")
from log_util import LogUtil
import os.path
import mxnet as mx
import config_util
# from config_util import get_checkpoint_path, parse_contexts
from stt_metric import STTMetric
# tensorboard setting
from tensorboard import SummaryWriter
import socket
import json
import nu... |
# Copyright 2015 Cloudera 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, so... |
import traceback
from itertools import chain
import shutil, os, re
from hashlib import sha1
import psutil
import ctypes
ASTERISKS = r'**********'
user32 = ctypes.WinDLL('user32')
SW_MAXIMISE = 3
window_titles = []
GetWindowText = ctypes.windll.user32.GetWindowTextW
GetWindowTextLength = ctypes.windll.user32.GetWindow... |
import logging
import time
from modules.base_module import Module
from client import Client
import common
ACTIONS = ["danceBoy1", "danceBoy2", "danceBoy3", "danceBoy4",
"danceBoyKoreanStyle", "danceBoyIreland", "danceBoyDisco",
"danceBoyGrooveJam", "danceGirl1", "danceGirl2", "danceGirl3",
... |
import logging
import pymel.core as pymel
from omtk.core.classModule import Module
from omtk.libs import libPython
from omtk.libs import libPymel
from omtk.libs import libRigging
from omtk.modules import rigFK
from omtk.modules import rigFKAdditive
'''
class Finger(Module):
"""
Finger rig are similare to the A... |
#!/usr/bin/env python3
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__)), 'models/research/slim'))
import time
import datetime
import logging
from tqdm import tqdm
import numpy as np
import cv2
import simplejson as json
from sklearn.met... |
from flask import Flask, request, abort
import os
import noti_db
import noti_purchase.get_amazon_url
amazon = noti_purchase.get_amazon_url
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
CarouselColumn, CarouselTemplat... |
"""Control API."""
from flask import Blueprint, render_template, request
import json
from TopsidesGlobals import GLOBALS
control_api = Blueprint("control_api", __name__)
topsidesComms = None
rotateCam1 = 0
rotateCam2 = 0
def controlAPI(comms):
global topsidesComms
topsidesComms = comms
return control_a... |
# -*- encoding: utf-8 -*-
"""
keri.help.helping module
"""
import base64
import dataclasses
import datetime
from collections.abc import Iterable, Sequence, Mapping
import pysodium
from multidict import MultiDict # base class for mdict defined below
from orderedset import OrderedSet as oset
# Utilities
def isign(i)... |
#------------------------------------------------------------------------------
# Name: pychrono example
# Purpose:
#
# Author: <NAME>
#
# Created: 1/01/2019
# Copyright: (c) ProjectChrono 2019
#------------------------------------------------------------------------------
print ("Example: Load a STE... |
import torch
import torchaudio
import numpy as np
import torch.nn as nn
import torch.nn.functional as fu
import torchaudio.functional as func
torchaudio.set_audio_backend('sox_io')
def create_mel_filterbank(sample_rate, frame_len, num_bands, min_freq, max_freq):
"""
Taken from https://github.com/f0k/ismir2015... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""This module contains the knowledge of how to take the metadata produced
during construction of the SciPy conference proceedings and functions for
generating valid DOIs and produces an xml file containing all of the necessary
metadata to submit DOIs to CrossRef. The Xr... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from osgeo import gdal, ogr, osr
from pyhdf.SD import SD, SDC
import h5py
import pyproj
import os
import re
from geoedfframework.utils.GeoEDFError import GeoEDFError
""" Helper module implementing various processing operations
on HDF4 and HDF5 f... |
#
# create_tfrecords_format.py
#
# This script creates a tfrecords file from a dataset in VOTT format.
#%% Imports and environment
import os
from PIL import Image
from tqdm import tqdm
import glob
import numpy as np
import argparse
import sys
if sys.version_info.major >= 3:
from utils.create_tfrecords_py3 import ... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) Copyright 2018 SUSE 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 ... |
import datetime
import json
import lzma
import os
import os.path
import platform
import sys # for DataVisitor import ast, inspect
from collections import OrderedDict
from importlib import util
from lxml import etree
from pycsp3.dashboard import options
from pycsp3.problems.data import parsing
from pycsp3.tools.aggre... |
# coding=utf-8
import json
import os
from util import read_json
import copy
import sys
def opt_area_json(path):
json_data = json.load(open(path, 'r'))
new_json_data = []
for data in json_data:
if data['label'] == '':
new_data = data
new_data['id'] = data['id'] + 1
... |
"""Compute a grid of values for Wright's generalized Bessel function
and save the values to data files for use in tests. Using mpmath directly in
tests would take too long.
This takes about 10 minutes to run on a 2.7 GHz i7 Macbook Pro.
"""
from functools import lru_cache
import os
from time import time
import numpy ... |
from option import args
from model import Model
import utility
from dataloader import DATALOADER
from keras.utils import generic_utils
import os
import cv2
import numpy as np
import math
def train(args, model, log_manager, img_preprocessor, train_dataloader, val_dataloader) :
model_path_manager = utility.Model_p... |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
# from matplotlib.ticker import FormatStrFormatter
import librosa
import librosa.display
# original_sample = 'Real Test/full_train_test_true.wav'
# ds_sample = 'Real Test/full_train_test_ds.wav'
# reco_sample = 'Real Test/full_tr... |
# -*- coding: utf-8 -*-
import os
import sys
import re
from bs4 import BeautifulSoup
from ghostscript import Ghostscript
import PyPDF2
from PIL import Image, ImageDraw
import colorsys
import numpy as np
import shutil
sys.path.insert(1, os.path.realpath(os.path.join(sys.path[0], os.pardir, os.pardir)))
from measurement... |
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Tests for implementations of L{ITLSTransport}.
"""
from __future__ import division, absolute_import
__metaclass__ = type
from zope.interface import implementer
from twisted.python.compat import networkString
from twisted.python.filepath im... |
"""
Basic avalon integration
"""
import os
import contextlib
from collections import OrderedDict
from pyblish import api as pyblish
from openpype.api import Logger
from openpype.pipeline import (
schema,
register_loader_plugin_path,
register_creator_plugin_path,
deregister_loader_plugin_path,
dere... |
import gzip
import json
from pathlib import Path
import shutil
import branca.colormap as cm
import geopandas as gpd
from ipyleaflet import (
basemaps,
Choropleth,
GeoJSON,
Icon,
LayerGroup,
LayersControl,
LegendControl,
Map,
Marker,
Popup,
WidgetControl,
)
from ipywidgets im... |
# Copyright 2020 Xanadu Quantum Technologies 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 agre... |
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 15 00:38:55 2017
@author: soumi
"""
from random import *
from RectUtils.Rect import Rect
import copy
#import Utils.ImageUtil as ImageUtil
MAX_AREA_SCAN = 1000
class CColor:
White= (255,255,255)
Black = (0,0,0)
Gray = (190,190,190) ... |
from torch.nn.modules.loss import _Loss
import torch
import math
import numpy as np
from scipy.optimize import linear_sum_assignment
import torch.nn.functional as F
def loss_calculation( pred_cent, pred_ref,pred_foot_ref, pred_rot, pred_num, pred_mode,
target_s,points, w, target_mode):
bs = 1
... |
#!/usr/bin/env python3
"""
Dependencies required to run program.
- python3.6+
- argparse
- pandas >= 0.22.4
- pysam==0.15.2
"""
import sys
import pandas as pd
from primer_tk import constants
def add_tabix_subparser(subparser):
"""
Get commandline arguments
Args:
subparser (?): Subpar... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 15/08/18 22:14
# @Author : <NAME>
# @Site :
# @File : pythonCalculator.py
# @Software: PyCharm
"""
开发一个简单的python计算器
实现加减乘除及拓号优先级解析
用户输入 1 - 2 * ( (60-30 +(-40/5) * (9-2*5/3 + 7 /3*99/4*2998 +10 * 568/14 )) - (-4*3)/ (16-3*2) )等类似公式后，
必须自己解析里面的(),+,-,*,/... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" For Binance.com
Hand made client could be easy extend
"""
__author__ = 'Zagfai'
__date__ = '2020-12'
import time
import hmac
import logging
import hashlib
import requests
import socket
import websocket
import threading
import queue
from urllib.parse import urljoin
from... |
"""
Build all the conda recipes in the given directory sequentially if they do not
already exist on the given binstar channel.
Building is done in order of dependencies (circular dependencies are not supported).
Once a build is complete, the distribution will be uploaded (provided BINSTAR_TOKEN is
defined), and the nex... |
from __future__ import division
import numpy as np
import os
import cv2
import itertools as it
project_path = "redraw/"
data_path = os.path.join(project_path, "data/")
image_path = os.path.join(project_path, "images/")
image_width = 720
image_height = 720
BLANK_PROPORTION = 0.1
ORIGIN_IMGWIDTH = 960
ORIGIN_IMGHEIGHT... |
# -*- test-case-name: txdav.who.test.test_cache -*-
##
# Copyright (c) 2014-2015 Apple 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/lice... |
import matplotlib as mpl
mpl.use('Agg') # noqa
import argparse
import os
import json
import pickle
import yaml
import numpy
import hashlib
from jinja2 import Environment, FileSystemLoader
from ann_benchmarks import results
from ann_benchmarks.datasets import get_dataset
from ann_benchmarks.plotting.plot_variants impo... |
from __future__ import print_function, unicode_literals
import RPLCD.common as C
import sys
if sys.version_info < (3,):
text_type = unicode
binary_type = str
else:
text_type = str
binary_type = bytes
from .codec import hitachi_utf_map
class HwException(BaseException):
pass
def test(val, insn_m... |
#!/usr/bin/python
#
# Copyright (c) 2017 <NAME>, <<EMAIL>>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Support for host policies.
This contains the main unique functionality for this package.
.. $Id$
"""
from __future__ import print_function, unicode_literals, absolute_import, division
__docformat__ = "restructuredtext en"
logger = __import__('logging').getLogger(__n... |
from __future__ import print_function
from builtins import zip
import os
import numpy as np
from flarestack.shared import plot_output_dir, catalogue_dir
from flarestack.utils.catalogue_loader import load_catalogue
agncores_dir = os.path.abspath(os.path.dirname(__file__))
agncores_cat_dir = agncores_dir + "/catalogues/... |
# Copyright 2019 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... |
#!/usr/bin/env python
# -*- coding: latin-1 -*-
''' Prepare a summary for different datatypes for ENCODE3
'''
import os.path
import argparse
import encodedcc
from encodedcc import get_ENCODE
EPILOG = '''
The output of this program is for consumption by a googlesheet.
'''
def getArgs():
parser = argparse.Argument... |
# -*- coding: utf-8 -*-
""" Common JS/CSS includes
@copyright: (c) 2010-2021 Sahana Software Foundation
@license: MIT
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
... |
import time,os,re,csv,sys,uuid,joblib
from datetime import date
from collections import defaultdict
import numpy as np
import pandas as pd
from sklearn import svm
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor
from sklearn.metri... |
import pandas as pd
import warnings
import os
import sys
import codecs
import torch
from modules import BertNerData as NerData
from modules import NerLearner
from modules.models.bert_models import BertBiLSTMAttnNMT
from modules.data.bert_data import get_bert_data_loader_for_predict
from modules.train.train import valid... |
# encoding: utf-8
import py
from pypy.interpreter.error import OperationError
from pypy.interpreter.module import Module
class TestModule:
def test_name(self, space):
w = space.wrap
m = Module(space, space.wrap('m'))
w_m = w(m)
assert space.eq_w(space.getattr(w_m, w('__name__')), w(... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
# *****************************************************************
# ** PTS -- Python Toolkit for working with SKIRT **
# ** © Astronomical Observatory, Ghent University **
# *****************************************************************
##... |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from collections import defaultdict, deque
from time import perf_counter
from typing import List, Mapping, Optional, Tuple
impo... |
import os
import random
import decimal
import string
import hashlib
import sha3
import pyqrcode
from deprecated import deprecated
# Number of PIP in 1 BIP
PIP = 1000000000000000000
# Prefixes
PREFIX_ADDR = 'Mx'
PREFIX_PUBKEY = 'Mp'
PREFIX_CHECK = 'Mc'
PREFIX_TX = 'Mt'
@deprecated("Use 'to_bip... |
"""This module defines all possible functional forms of harmonization methods
and the default decision tree for choosing which method to use.
"""
import pandas as pd
import numpy as np
from bisect import bisect
import pyomo.environ as pyo
from aneris import utils
def harmonize_factors(df, hist, harmonize_year='201... |
import os
import tqdm
import cv2
import multiprocessing
import torch
import math
import argparse
import numpy as np
import utils
import shutil
from PIL import Image
TARGET_DIR = "data/fdf_new"
shutil.rmtree(TARGET_DIR)
IMAGE_TARGET_DIR = os.path.join(TARGET_DIR, "images")
os.makedirs(IMAGE_TARGET_DIR)
BBOX_TARGET_DIR... |
# Copyright 2016 Google 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,... |
import torch
import torch.nn as nn
from collections import namedtuple
Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')
OPS = {
'none': lambda C, stride, affine: Zero(stride),
'avg_pool_3x3': lambda C, stride, affine: nn.AvgPool2d(3, stride=stride, padding=1, count_include_pad=Fals... |
# Copyright 2020 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... |
#!/usr/bin/env python3
import sys
from os.path import join,exists,dirname
import random
from datetime import datetime
import time
import numpy as np
from numpy.random import randint
from sklearn.datasets import load_svmlight_file
from torch.autograd import Function, Variable
import torch.nn as nn
import torch.optim as... |
# Copyright 2019 California Institute of Technology
# ------------------------------------------------------------------
import numpy as np
from scipy.interpolate import interp1d
import math
import proper
from wfirst_phaseb_proper import trim
# wavefront: current wavefront structure
# polfile: rootname of file cont... |
"""Perform GPR Active Learning where Bayesian optimization is used to select a new
calculation as soon as one calculation completes"""
from funcx import FuncXClient
from colmena.task_server.funcx import FuncXTaskServer
from colmena.thinker import BaseThinker, agent
from colmena.redis.queue import ClientQueues, make_que... |
# encoding: utf-8
import os
import json
import random
from olipy.randomness import WanderingMonsterTable
from olipy import corpora
countries = [
country for country in corpora.geography.countries['countries']
if not ' ' in country
]
us_states = corpora.geography.us_states['states']
class Grammar(object):
... |
import errno
import signal
import time
from JumpScale import j
from .utils import printInDebugMode
from .server import MessageServer
class MessageServerConfig(object):
def __init__(self, name, address=None, forwardAddresses=None, storeLocally=True):
self._name = name
address = address or '127.0.... |
import asyncio
import concurrent.futures
import logging
import multiprocessing
import time
from enum import Enum, auto
import cv2
from .aruco_marker import ArucoMarker
MAX_READ_FAILURES_PER_INIT = 3
LOOPBACK_DEV_PATH = "/dev/video21"
class CapComm(Enum):
"""For communication between ArucoDetectionProcess and A... |
"""Sonarr Common Models."""
# pylint: disable=invalid-name, too-many-instance-attributes, too-few-public-methods
from __future__ import annotations
from dataclasses import dataclass
from .base import APIResponseType, BaseModel
from .common import _CommonAttrs
@dataclass(init=False)
class _SonarrCommon6(BaseModel):
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Compare all fitted models to each other using Bayes factors from admixture_graph
"""
__author__ = "<NAME>"
__copyright__ = "Copyright 2018"
__email__ = "<EMAIL>"
__license__ = "MIT"
import argparse
import glob
import itertools
import os
import re
import sys
from collec... |
#!/usr/bin/python
# Copyright 2015 Couchbase, 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 appl... |
import future
# -- Standard lib ------------------------------------------------------------
import http.client as httplib
# -- Project specific --------------------------------------------------------
from . import singleton
class ExceptionInfo:
"""
Exception information to show useful responses to user wh... |
import numpy as np
import openpyxl
import pandas as pd
from tkinter import *
from PIL import ImageTk, Image
from openpyxl.workbook import Workbook
from tkcalendar import *
from openpyxl import load_workbook
from tkinter.font import Font
from tkinter import ttk
from tkinter import messagebox
from tkinter.messagebox impo... |
# BSD-3-Clause License
#
# Copyright 2017 Orange
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the followi... |
# # # # # # # # # # # # # # # # #
# Self-Care Bot 0.3a #
# Designed by <NAME> #
# Programmed by <NAME> #
# # # # # # # # # # # # # # # # #
"""
TODO: Update code to reflect new Telegram API 2.0
Update code to reflect new version of telepot
Remove threading, replace with asynchronous calling
"""
import telepot
fr... |
import datetime
import json
import os
import re
import subprocess
from shutil import copyfile
import yaml
from buildtest.config import SiteConfiguration
from buildtest.defaults import console
from buildtest.exceptions import BuildTestError, ConfigurationError
from buildtest.schemas.defaults import custom_validator, sc... |
# segmentation then classification approach to ACE
# feature extraction: use librosa's cqt, chromagram (https://github.com/librosa/librosa)
# segmentation: use hmmlearn (http://hmmlearn.readthedocs.io/en/stable/), which has a sklean interface
# classification: use keras - theano/tensorflow backend (https://keras.io/)
... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
import logging
from typing import List, Tuple
import torch
import torch.nn as nn
class LayerInfo:
"""
A class to record the layer attributes.
"""
def __init__(self, name: str, layer: nn.Module, scale: float = 1.0, scale_layer: bool = False) -> None:
"""
layer_name: name of the layer ... |
import tensorflow as tf
# loss weight
LAMBDA = 10
class InstanceNormalization(tf.keras.layers.Layer):
"""Instance Normalization Layer (https://arxiv.org/abs/1607.08022)."""
def __init__(self, epsilon=1e-5):
super(InstanceNormalization, self).__init__()
self.epsilon = epsilon
def build(s... |
"""
Utils
-----
Functions to help read and write data to disk in a variety of formats.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import bz2
import gzip
import io
import itertools
import os
import re
import warnings
import zipfile
try: # Py3
import lzma
except ImportE... |
"""
Experiment:
1. Objective: Generate adversarial examples.
2. Context: zero-knowledge model and optimization-based white-box model.
3. Dataset: CIFAR100.
@author: <NAME> (y(dot)meng201011(at)gmail(dot)com)
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
import re, sys
import os, json
CURRENT_FOLDER = os.path.dirname(os.path.abspath(__file__))
import numpy as np
import random
UNKNOWN_TOKEN = '<unnown>'
PADDING_TOKEN = '<padding<PASSWORD>>'
def extract_text_from_line_numb(line):
match = re.search('\d+ your persona:', line)
if match is None:
match = re.s... |
import os
import shapely
from affine import Affine
import rasterio
from rasterio.warp import transform_bounds
from ..utils.geo import list_to_affine, _reduce_geom_precision
from ..utils.core import _check_gdf_load
from ..raster_image.image import get_geo_transform
from shapely.geometry import box, Polygon
import pandas... |
#!/usr/bin/env python
# Copyright 2016 Hewlett Packard Enterprise Development Company LP
#
# 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
#
# Unl... |
"""
Note:
- the move_to_dpp moves things .to(device)
"""
from argparse import Namespace
from typing import Optional, Any
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import _LRScheduler
from uutils.torch_uu.checkpointing_uu import resume_from_checkpoint
from u... |
import json
import copy
import torch
import numpy as np
import contextlib
from distutils.dir_util import mkpath
from tqdm import tqdm
def make_new_tensor_from_list(items, device_num, dtype=torch.float32):
if device_num is not None:
device = torch.device("cuda:{}".format(device_num))
else:
... |
"""
Shared utility functions
"""
import boto.s3
import os
import pyprind
from ..utils.exceptions import ETLInputError
from .s3_path import S3Path
CHUNK_SIZE = 5242880
PROGRESS_SECTIONS = 10
def get_s3_bucket(bucket_name):
"""Returns an S3 bucket object from boto
Args:
bucket_name(str): Name of the... |
#!/usr/bin/env python
from ansible.module_utils.hashivault import hashivault_argspec
from ansible.module_utils.hashivault import hashivault_auth_client
from ansible.module_utils.hashivault import hashivault_init
from ansible.module_utils.hashivault import hashiwrapper
ANSIBLE_METADATA = {'status': ['stableinterface'],... |
# Copyright 2020 Huawei Technologies Co., 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... |
from asteval import Interpreter
import multiprocessing as mp
from multiprocessing import Pool
import numpy as np
import astropy.units as u
from specutils.spectra import Spectrum1D
from specutils.fitting import fit_lines
__all__ = ['fit_model_to_spectrum']
def fit_model_to_spectrum(spectrum, component_list, expre... |
from inventory import Handler
import unittest
class FakeShopifyAPI:
@classmethod
def get_locations(cls):
return [{'active': True,
'address1': '1111 Spring Garden St.',
'address2': '',
'admin_graphql_api_id': 'gid://shopify/Location/48794762',
'city': 'Philadelphia',
'country': 'US',
'... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""The sncosmo registry is used to load and return instances in memory
based on string identifiers."""
from astropy.utils import OrderedDict
from astropy.extern import six
__all__ = ['register_loader', 'register', 'retrieve', 'get_loaders_metadata']
_lo... |
import decimal
from dataclasses import asdict, dataclass
from math import isclose
from typing import List, Optional, Union
import numpy as np
from lhotse.utils import Seconds
@dataclass
class Array:
"""
The Array manifest describes a numpy array that is stored somewhere: it might be
in an HDF5 file, a c... |
import lark
class NType:
def __init__(self, name):
self.name = name
def __hash__(self):
return hash(id(self))
def __eq__(self, other):
return self is other
class NGenericType(NType):
def __init__(self, name):
super(NGenericType, self).__init__(name)
def __repr_... |
# python3: CircuitPython 3.0
# Author: <NAME> (@gpshead) <<EMAIL>>
#
# Copyright 2018 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
#
# https://www.apache.org/licenses/LICEN... |
from copy import deepcopy
from django.conf import settings
from django.contrib.auth import get_user_model
from django.db import models
# from django.db.models.signals import post_save
from django.utils.translation import gettext as _
from spid_cie_oidc.entity.abstract_models import TimeStampedModel
from spid_cie_oid... |
# from data_utils.ModelNetDataLoader import ModelNetDataLoader
# from data_utils.OFFDataLoader import *
import argparse
import numpy as np
import os
import torch
import logging
from tqdm import tqdm
from sklearn.metrics import confusion_matrix
import sys
import importlib
from path import Path
from data_utils.PCDLoader ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
from tensorpack import *
import os
import tensorflow as tf
import numpy as np
from tensorpack.utils import logger
import tensorpack.tfutils.symbolic_functions as symbf
BATCH_SIZE = 32
NUM_POINTS = 1024
N_TRANSFORM = True
@layer_register()
def Transform... |
import argparse
from datetime import datetime
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
from torchvision import datasets, models, transforms
import matplotlib
matplotlib.use('agg')
import ... |
import cPickle as pickle
import os
import shutil
import sys
import warnings
import rope.base.fscommands
from rope.base import exceptions, taskhandle, prefs, history, pycore, utils
from rope.base.resourceobserver import *
from rope.base.resources import File, Folder, _ResourceMatcher
class _Project(object):
def ... |
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