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# Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import argparse
import torch
import torch.nn as nn
from visdom import Visdom
import pyro
import pyro.distributions as dist
from pyro.contrib.examples.util import print_and_log
from pyro.infer import SVI, JitTrace_ELBO, JitTraceEn... |
"""
sentry.interfaces.exception
~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
__all__ = ('Exception', 'Mechanism', 'upgrade_legacy_mechanism')
import re
import six
from ... |
from dataclasses import dataclass
from typing import Dict, List, Union
from selfdrive.car import dbc_dict
from selfdrive.car.docs_definitions import CarInfo
from cereal import car
Ecu = car.CarParams.Ecu
class CarControllerParams:
def __init__(self, CP):
if CP.carFingerprint == CAR.IMPREZA_2020:
self.STEE... |
# Copyright (c) 2022 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... |
import pyttsx3
import datetime
import speech_recognition as sr
import smtplib
import requests
import wikipedia
import webbrowser as wb
import easygui
from youtube_search import YoutubeSearch
from tkinter import filedialog
from tkinter import messagebox as msg
import os
import pyautogui
import psutil
impor... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2013 Big Switch Networks, 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... |
#!/usr/bin/env python
#
# Copyright (c) 2013-2017 <NAME> <<EMAIL>>
#
# Permission to use, copy, modify, and distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" ... |
# Copyright (c) 2013 OpenStack Foundation.
# 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... |
# -*- coding: utf-8 -*-
"""Run dataset CLI."""
import itertools as itt
import json
import logging
import math
import pathlib
from textwrap import dedent
from typing import Iterable, List, Mapping, MutableMapping, Optional, Tuple, Union
import click
import docdata
import pandas as pd
import scipy.stats
from more_clic... |
# --------------------------------------------------------
# Swin Transformer
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME>
# --------------------------------------------------------
# Vision Transformer with Deformable Attention
# Modified by <NAME>
# --... |
import seaborn as sns
import pandas
import numpy
from ..workbench.analysis import feature_scoring
from ..viz import heatmap_table
from ..scope.box import Box
from ..util.arg_processing import design_check
def feature_scores(
scope,
design,
return_type='styled',
db=None,
random_state=None,
cmap='viridis',... |
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from openvino.inference_engine import IENetwork,IECore
from .constants import DEVICE_DURATION_IN_SECS, UNKNOWN_DEVICE_TYPE, \
CPU_DEVICE_NAME, GPU_DEVICE_NAME
from .logging import logger
import json
import re
import numpy as np
de... |
__author__ = 'mangalbhaskar'
__version__ = '2.0'
"""
## Description:
# --------------------------------------------------------
# Annotation Parser Interface for Annotation work flow.
# It uses the annotations created by VGG VIA tool v2.03 (not tested), v2.05 (tested).
# -----------------------------------------------... |
# orm/descriptor_props.py
# Copyright (C) 2005-2017 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Descriptor properties are more "auxiliary" properties
that exist as confi... |
import ctypes
from enum import Enum
import numpy as np
from PuzzleLib.Cuda.ThirdParty import libnpp
class InterpolationMode(Enum):
nn = libnpp.NppiInterpolationMode["NPPI_INTER_NN"]
linear = libnpp.NppiInterpolationMode["NPPI_INTER_LINEAR"]
cubic = libnpp.NppiInterpolationMode["NPPI_INTER_CUBIC"]
cubic2pbSpline ... |
# -*- coding: utf-8 -*-
# @Author: <NAME>
# @Email: <EMAIL>
# @Date: 2017-07-31 15:20:54
# @Last Modified by: <NAME>
# @Last Modified time: 2020-07-21 16:17:08
import numpy as np
from ..core import PointNeuron, addSonicFeatures
from ..constants import Z_Ca
class Thalamic(PointNeuron):
''' Generic thalamic ne... |
# Copyright 2020 ByteDance 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... |
# -*- coding: utf-8 -*-
# Copyright 2018 Telefonica S.A.
#
# 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 l... |
from sklearn.metrics import f1_score, precision_score, recall_score
from sklearn.metrics import confusion_matrix, classification_report, mean_squared_error
from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
from sklearn.base import is_classifier, is_regressor, clone
from sklearn.model_selection im... |
import os
import time
import threading
from mutagen.mp3 import MP3
from pygame import mixer
from tkinter import *
from tkinter import ttk
from tkinter.filedialog import askdirectory
import tkinter.messagebox
PlayerForm = Tk()
# dir
sounderdir = os.path.dirname(sys.executable)
userdir = os.path.expanduser('~... |
'''
Edits the sector backgrounds, view distance and fog effects.
In IEX, some sectors use a short fade distance even when not fogged,
which looks iffy.
Note: base files have fade distances all over the place, generally not
attached to fogging (probably considering fog more of a visual effect,
and using fade distan... |
# coding: utf-8
# pylint: disable=too-many-locals, too-many-arguments, invalid-name
# pylint: disable=too-many-branches
"""Training Library containing training routines."""
from __future__ import absolute_import
import sys
import re
import numpy as np
from .core import Booster, STRING_TYPES, XGBoostError
from .compat ... |
from tqdm import tqdm
from typing import Dict, Optional
import torch.nn.functional as F
import torch
# torch.autograd.set_detect_anomaly(True)
def volume_render(
rays_o: torch.Tensor,
rays_d: torch.Tensor,
near: float,
far: float,
network_fn,
network_fn_fine=None,
batched: bool = True,
... |
# Copyright (c) Microsoft Corporation and contributors.
# Licensed under the MIT License.
"""Threshold Optimization Post Processing algorithm.
This is based on <NAME>, <NAME>, <NAME>'s paper
"`Equality of Opportunity in Supervised Learning
<https://arxiv.org/pdf/1610.02413.pdf>`_" for binary
classification with one c... |
from __future__ import print_function
import FWCore.ParameterSet.Config as cms
class MassSearchReplaceAnyInputTagVisitor(object):
"""Visitor that travels within a cms.Sequence, looks for a parameter and replace its value
It will climb down within PSets, VPSets and VInputTags to find its target"""
def __... |
"""
Copyright (c) 2016-present, Facebook, Inc.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree. An additional grant
of patent rights can be found in the PATENTS file in the same directory.
"""
import ctypes
import ipaddr... |
import sys
import random
from tkinter import *
import time
import math, queue
from Init_map import *
import threading
import numpy as np
import array
import pyglet
map_dimension = 10
numberofaction = 4
spacedimension = 2
theta_leng = map_dimension*spacedimension*numberofaction
omega_leng = map_dimension*spacedimensi... |
import json
from tests import BaseTestCase
from redash import models
from redash.models import db
from redash.serializers import serialize_query
from redash.permissions import ACCESS_TYPE_MODIFY
class TestQueryResourceGet(BaseTestCase):
def test_get_query(self):
query = self.factory.create_query()
... |
#!/usr/bin/env python3
# -*- coding: latin-1 -*-
'''
Releasenator will no longer release files that are associated with files in the
experiment being released via controlled_by and supersedes relationship
Version 1.6
Releasenator changelog
Version 1.5
Store individual release logs instead of overwriting.
Versio... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import glob
import h5py
import copy
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from util import quat2mat
# Part of the code is referred from... |
#!/usr/bin/python
import sys
import io
from collections import OrderedDict
import datetime
from time import gmtime
import re
import numpy as np
from numpy.fft import fftfreq, fftshift
import numpy.dual as npfast
from . import TNTdtypes
def s(b):
"""Convert a bytes object to a str, decoding with latin1 if necess... |
"""
HoloViews can be used to build highly-nested data-structures
containing large amounts of raw data. As a result, it is difficult to
generate a readable representation that is both informative yet
concise.
As a result, HoloViews does not attempt to build representations that
can be evaluated with eval; such represen... |
bl_info = {
"name": "keLinearArray",
"author": "<NAME>",
"category": "Modeling",
"version": (2, 0, 2),
"blender": (2, 80, 0),
}
import bpy
import blf
from .ke_utils import get_selected, get_distance
from mathutils import Vector, Matrix
from bpy_extras.view3d_utils import region_2d_to_location_3d
... |
from Bio import SeqIO
from Bio.Seq import Seq, MutableSeq
from Bio.SeqRecord import SeqRecord
from Bio.Blast import NCBIWWW, NCBIXML
from Bio.Blast.Applications import NcbiblastnCommandline
import itertools
from collections import defaultdict
import re
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExe... |
import logging
from collections import OrderedDict
from typing import List, Dict
import itertools
import geopandas
import upsetplot
import pandas as pd
import plotly.express as px
import plotly.subplots as sbp
import plotly.graph_objects as go
from card_live_dashboard.model.CardLiveData import CardLiveData
logger = ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''macf.py - <NAME> (<EMAIL>) - Oct 2017
This contains the ACF period-finding algorithm from McQuillan+ 2013a and
McQuillan+ 2014.
'''
#############
## LOGGING ##
#############
import logging
from datetime import datetime
from traceback import format_exc
# setup a log... |
from operator import itemgetter
from .._abc.function import *
from os import getpid
from time import time as now
from itertools import compress
from util.numeral import base_to_binary2
from numpy.random.mtrand import RandomState
# seed: 42323
BENT_INDEXES_LIST = [
[[45, 63, 33, 2], [54, 18, 14, 21], [20, 16, 4, ... |
import sys
import os
import logging
import numpy as np
from tqdm import tqdm
import nltk
import pickle
import json
import random
from pathlib import Path
import multiprocessing as mp
from argparse import REMAINDER, ArgumentParser
from icebert.cid_mapping import fast_tokenize, encode_cID
from transformers import BertTo... |
# coding:utf-8
from typing import Optional, Tuple, Dict, Collection, Union
import enum
from inspect import Parameter
from argparse import ArgumentParser, OPTIONAL, ONE_OR_MORE, ZERO_OR_MORE
from functools import lru_cache
from bourbaki.introspection.types import (
get_generic_args,
deconstruct_generic,
is_n... |
# Software License Agreement (BSD License)
#
# Copyright (c) 2008, <NAME>, Inc.
# 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 copyri... |
"""Methods for plotting attributes diagram."""
import numpy
from descartes import PolygonPatch
import shapely.geometry
import matplotlib.colors
import matplotlib.pyplot as pyplot
DEFAULT_NUM_BINS = 20
RELIABILITY_LINE_COLOUR = numpy.array([228, 26, 28], dtype=float) / 255
RELIABILITY_LINE_WIDTH = 3
PERFECT_LINE_COLOU... |
import uuid
import json
import random
from ast import literal_eval
from django_filters.rest_framework import DjangoFilterBackend
from django.http import HttpResponse, JsonResponse
from django.db.models import Q
from django.utils.text import slugify
from rest_framework.mixins import CreateModelMixin, ListModelMixin, Ret... |
# _orienteer_data.py
#
# Provides a set of Python classes which roughly align with parts of the
# International Orienteering Federation (IOF) XML spec at
# http://orienteering.org/datastandard/IOF.xsd
#
# Provides a Reader Object which can read properly structured XML and CSV
# files and build the python classes with t... |
# coding=utf-8
# Copyright 2020 The Google Research 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
#Using a edited version of python-sc2
import sc2
from sc2 import run_game, maps, Race, Difficulty, position, Result
from sc2.player import Bot, Computer, Human
from sc2.constants import *
import random
import cv2
import numpy as np
import time
import multiprocessing
import os
HEADLESS = False
class ProtossBot(sc2.... |
# AoC Utils
import re
import math
import functools
import itertools
from collections import Counter, defaultdict, deque
from enum import IntEnum, auto
from typing import Any, Callable, DefaultDict, Deque, Dict, FrozenSet, Iterable, Iterator, List, Mapping, MutableMapping, Optional, Sequence, Set, Tuple, TypeVar, Unio... |
"""
Particle Swarm Optimizer (PSO)
======================================================================
Particles
----------------------------------------------------------------------
In PSO, a particle represents a set of parameters to be optimised.
Each parameter is therefore a degree of freedom of the particl... |
"""norm.py
Implementations of various normalization layers.
Alternate implementations are for compatability with
officially unofficial BigGAN release found here:
https://github.com/ajbrock/BigGAN-PyTorch
"""
from torch.nn import Parameter
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.n... |
"""
training.py
=================
Description:
Author:
Usage:
"""
import sklearn
import numpy
import os
import csv
import sys
import random
import ast
import SimpleITK as sitk
from sklearn.externals import joblib
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
import json
from .vesselness imp... |
# Copyright 2021 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, ... |
import argparse
import os
from datetime import datetime
import numpy as np
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import torch.nn as nn
from torch.utils.data import DataLoader, BatchSampler
from torch.utils.data.distributed import DistributedSampler
from tqdm import tqdm
impo... |
"""
Framework for general experiments
Copyright (C) 2014-2018 <NAME> <<EMAIL>>
"""
import copy
import logging
import multiprocessing as mproc
import os
import time
import types
import uuid
from functools import wraps
import tqdm
import yaml
from sklearn import metrics
#: total number of avalaible CPUs/treads
CPU_CO... |
# coding: utf-8
# # small dataset XRD classification using machine learning
# ## Introduction
# This is meant to be a (relatively) self-contained example of XRD classifcation on small dataset via physics based data agumentation
# The overall procedure is:
# 1. Load the experimental and theorectical XRD spectra wi... |
# MIT License
#
# Copyright (c) 2020, <NAME>.
#
# 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, merge, pub... |
#===============================================================================
# Copyright 2008 <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
#
# http://www.apache.org/license... |
#!/usr/bin/env python3
# This file is part of the Astrometry.net suite.
# Copyright 2009 <NAME>
# Licensed under a 3-clause BSD style license - see LICENSE
# https://github.com/dstndstn/astrometry.net
from __future__ import print_function
import os
import sys
import time
import base64
try:
# py3
from urllib.... |
from typing import List, Set
import numpy as np
import tensorflow as tf
from keras_preprocessing.sequence import pad_sequences
from tqdm import tqdm
from hotpot.data_handling.dataset import Dataset, QuestionAndParagraphs, QuestionAndParagraphsSpec, \
QuestionAndParagraphsDataset
from hotpot.data_handling.relevance... |
# coding=utf-8
# Copyright 2022 The Google Research 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... |
# Compares concept URIs in docs/resource_uri_to_oncocode_mapping.txt to the current concept URIs defined in TopBraid.
#
# ./validate_topbraid_uris.py --curated-file resource_uri_to_oncotree_mapping_file --properties-file application.properties
#
# Author: <NAME> and <NAME>
#
# -*- coding: utf-8 -*-
import optparse
imp... |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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... |
import datetime
import json
import math
import os
from typing import Any, Iterable, Union
import cv2
import matplotlib.pyplot as plt
import numpy as np
from core.base import BaseClass
from tensorflow.keras.utils import to_categorical
class BaseHelper(object):
"""Helper class for basic tasks
Can be used with... |
"""
Copyright 2010 <NAME> <<EMAIL>>
This file is part of PyCAM.
PyCAM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PyCAM is distributed... |
"""
Robust linear models with support for the M-estimators listed under
:ref:`norms <norms>`.
References
----------
<NAME>. 'Robust Statistics' John Wiley and Sons, Inc., New York. 1981.
<NAME>. 1973, 'The 1972 Wald Memorial Lectures: Robust Regression:
Asymptotics, Conjectures, and Monte Carlo.' The Annals... |
from ..kernel import core
from ..character import characterKernel as ck
from functools import partial
from ..status.ability import Ability_tool
from ..execution.rules import RuleSet, ConcurrentRunRule
from . import globalSkill
from .jobbranch import pirates
from .jobclass import nova
from . import jobutils
from math im... |
import os
os.environ['PYOPENGL_PLATFORM'] = 'osmesa'
# from mesh_to_sdf import sample_sdf_near_surface
import trimesh
# import pyrender
import numpy as np
import json
import numpy as np
import time
import skimage.measure
import subprocess
import random
import pandas as pd
from tqdm import tqdm_notebook
import matplo... |
#!/usr/bin/env python
# coding: utf-8
####### Import packages #########
import numpy as np
import pandas as pd
import pickle
import datetime
import time
import zipfile
import gensim
import gensim.corpora as corpora
from gensim.utils import simple_preprocess
from gensim.models import LdaMulticore
import os
import spac... |
# -*- coding: utf-8 -*-
"""
Adapted from `oemof.tabular's facades
<https://github.com/oemof/oemof-tabular/blob/master/src/oemof/tabular/facades.py>`_
Facade's are classes providing a simplified view on more complex classes.
More specifically, the :class:`Facade` s in this module inherit from `oemof.solph`'s generic
c... |
"""
File originally part of the Topographica project. Provides
SheetCoordinateSystem, allowing conversion between continuous 'sheet
coordinates' and integer matrix coordinates.
'Sheet coordinates' allow simulation parameters to be specified in
units that are density-independent, whereas 'matrix coordinates'
provide a ... |
# ================ AlphaZero algorithm for Connect 4 game =================== #
# Name: ResNet.py
# Description: Includes both a dense and a resnet.
# Almost identical/taken from https://pytorch.org/docs/0.4.0/_modules/torchvision/models/resnet.html
# Authors: <NAME> & <... |
# 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, ... |
import time
import asyncio
import websockets
import websockets.http
import websockets.exceptions
import telnetlib
import re
import traceback
import threading
from uao import register_uao
register_uao()
try:
from . import data_type
from . import i18n
from . import log
from . import screens
from . i... |
import gc
import xbmc
import xbmcgui
import kodigui
from lib import colors
from lib import util
from lib import metadata
from plexnet import playlist
import busy
import episodes
import tracks
import opener
import info
import musicplayer
import videoplayer
import dropdown
import windowutils
import search
from lib.u... |
import warnings
import random
import json
import jinja2
import numpy
import re
import os
from ._server import serve
from .utils import deprecated, get_id, write_ipynb_local_js
from .mpld3renderer import MPLD3Renderer
from . import urls
#import mplexporter
from mplexporter import Exporter
__all__ = ["fig_to_html", "fig... |
import pandas as pd
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
AVERAGE_SAMPLES = 25
def _acceptance_average(path,n=1):
path = '{}/acceptance'.format(path)
avg = 0
for i in range(n):
accpt = np.genfromtxt('{}_{}.csv'.format(path,i))[1:]
avg ... |
import numpy as np
from scipy import interpolate
import ezdxf
import h5py
from copy import copy
from Roadways import *
class SplineCurve:
def __init__(self,id=None,pts=None,keys=None,tck=None,u=None):
self.id = id
self.pts = pts
self.keys = keys
self.tck = tck # spline coefficients
... |
# coding: utf-8
import os
import time
import os.path
from importlib import import_module
import traceback
from datetime import datetime
import json
from sqlalchemy import or_, and_, func
from flask import Blueprint, request, session, url_for, g, send_file
from flask_login import LoginManager, login_user, logout_user, ... |
#<NAME>
import numpy as np
import math
#from matplotlib import pyplot as plt
def bar_MPa(pres):
pres=pres/10
return pres
def MPa_bar(pres):
pres=pres*10
return pres
def C_K(temp):
temp=temp+273
return temp
def K_C(temp):
temp=temp-273
return temp
def check_ove... |
import re
import os
import shutil
import sys
import json
from datetime import datetime, timedelta
import tabulate
import tempfile
import pytz
import kbr.args_utils as args_utils
import kbr.datetime_utils as datetime_utils
import kbr.file_utils as file_utils
import cromwell.api as cromwell_api
def group_args(args)... |
"""Convert a word from Greek orthography into its hypothesized
pronunciation in the International Phonetic Alphabet (IPA).
https://raw.githubusercontent.com/j-duff/cltk/ipa/
cltk/phonology/greek/transcription.py
"""
import re
import unicodedata
from nltk.tokenize import wordpunct_tokenize
from cltkv1.core.cltk_log... |
import argparse
import sys
import os
import shutil
import time
import math
import h5py
from random import randint
import torch
import torch.nn as nn
import torch.optim
import torchvision.transforms as transforms
import torch.nn.functional as F
import torch.nn.parallel
import torch.distributed as dist
from torch.nn.pa... |
"""
Convert from old gallery software to new gallery.
Take raw album files and DB info, and translate into new dir structure.
"""
import argparse
import os
from collections import Counter
import logging
from pathlib import Path
from pprint import pprint
import shutil
from html import unescape
import pymysql.cursors
... |
# coding: utf-8
import torch
from torch import nn
from .common_layers import Prenet
from .attentions import init_attn
class BatchNormConv1d(nn.Module):
r"""A wrapper for Conv1d with BatchNorm. It sets the activation
function between Conv and BatchNorm layers. BatchNorm layer
is initialized with the TF def... |
'''
# ambre.analyze.align_seg.py
#
# Copyright March 2013 by <NAME>
#
# This program is free software; you may redistribute it and/or modify its
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; either version 2 of the License or
# any later version.
#
# This pro... |
import errno
import os
import numpy as np
from PIL import Image
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch._six import string_classes
from torch.utils.data.dataloader import default_collate
from torch.nn import init
from torch.autograd import Variable
import re
import collections
im... |
from itertools import chain
from clang.cindex import CursorKind, TypeKind, AccessSpecifier
from path import Path
from .type_parser import parse_type
from .translation_unit import parse_tu
from .utils import current_platform
def paths_approximately_equal(p1,p2):
'''Approximate path equality. This is due to
''... |
'''
Author <NAME>
Date 5/17/2021
preprocess cropped images by shuffling, splitting (training, validation, and test sets) and standardizing
augment preprocessed images in-memory
'''
from data_processor import preprocess_input, preprocess_output, normalize_input, preprocess_per_input_image
from sklearn.model_sel... |
from pbxproj.pbxsections import *
from pbxproj import PBXList
class TreeType:
ABSOLUTE = '<absolute>'
GROUP = '<group>'
BUILT_PRODUCTS_DIR = 'BUILT_PRODUCTS_DIR'
DEVELOPER_DIR = 'DEVELOPER_DIR'
SDKROOT = 'SDKROOT'
SOURCE_ROOT = 'SOURCE_ROOT'
@classmethod
def options(cls):
retu... |
from __future__ import print_function
import argparse
import itertools
import os
import pickle
import sys
from datetime import datetime
import random
import matplotlib
import numpy as np
import torch
import faiss
import torch.nn as nn
from sklearn.metrics.cluster import normalized_mutual_info_score
matplotlib.use('A... |
"""
The code to deploy a service specified in a Dockerfile.
"""
import os
import time
import json
from urllib.parse import urlparse
from ..utils import dockercall
from ._auth import load_config
alphabet = "abcdefghijklmnopqrstuvwxyz"
identifier_chars = alphabet + alphabet.upper() + "0123456789" + "_"
# Cannot map ... |
# coding=utf-8
# Copyright 2020 The Compressive Visual Representations 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... |
# -*- coding: utf-8 -*-
import logging
import os
import pdb
import random
import shutil
import sys
import time
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn.parallel
import torch.optim
from opts import parser
# import torchvision
# from tensorboardX import SummaryWriter
from torc... |
# Copyright (c) 2015 SONATA-NFV, 5GTANGO, UBIWHERE, Paderborn University
# 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... |
"""
instance catalog reader
"""
from __future__ import division, print_function
import os
import gc
import gzip
import warnings
from functools import partial
import numpy as np
import pandas as pd
from astropy.cosmology import FlatLambdaCDM
from GCR import BaseGenericCatalog
__all__ = ['InstanceCatalog']
def _mag2fl... |
import ply.lex as lex
import ply.yacc as yacc
import os
import sys
LexerError=False
#Welcome='Tiger and Buti Compiler 2020 0.2.0\nCopyright (c) 2019: <NAME>, <NAME>'
#print(Welcome)
tokens=(
'class', 'else', 'false', 'if','fi', 'in', 'inherits', 'isvoid', 'let', 'loop', 'pool', 'then', 'while', 'cas... |
import typing
from numba import njit
import numpy as np
from ._lubrication_utils import tdma
from slippy.core import _NonDimensionalReynoldSolverABC
__all__ = ['UnifiedReynoldsSolver']
class UnifiedReynoldsSolver(_NonDimensionalReynoldSolverABC):
# noinspection SpellCheckingInspection
"""
The unifie... |
# -*- coding: utf-8 -*-
"""
File with auxiliary operations needed to handle the actions, namely:
functions to process request when receiving a "serve" action, cloning
operations when cloning conditions and actions, and sending messages.
"""
from __future__ import unicode_literals, print_function
import datetime
import... |
# ##############################################################################
# This file is part of df_config #
# #
# Copyright (C) 2020 <NAME> <<EMAIL>> #
# All Rights Res... |
# The MIT License (MIT)
#
# Copyright (c) 2016 Adafruit Industries
#
# 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, cop... |
# Copyright (c) 2008-2009 <NAME>, http://www.aryehleib.com
# All rights reserved.
#
# Modified from original contribution by <NAME>, which was
# released under the New BSD license.
import unittest
from django.contrib.gis.geos.mutable_list import ListMixin
class UserListA(ListMixin):
_mytype = tuple
... |
'''
Copyright (c) 2018 Doomhawk
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, merge, publish, distribute, subli... |
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