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"""!
@brief Attentive SuDO-RM-RF model
@author <NAME> {<EMAIL>}
@copyright University of Illinois at Urbana-Champaign
"""
import torch
import torch.nn as nn
import math
class _LayerNorm(nn.Module):
"""Layer Normalization base class."""
def __init__(self, channel_size):
super(_LayerNorm, self).__ini... |
#!/usr/bin/env python3
"""
Reconciliation functionality live here.
"""
import asyncio
from typing import Dict, List
from httpx import ConnectError
from lm_agent.backend_utils import (
backend_client,
get_bookings_from_backend,
get_config_from_backend,
get_config_id_from_backend,
)
from lm_agent.except... |
#!/usr/bin/env python3
import requests
import argparse
import sys
import os
import re
import time
import socket
import threading
from colors import *
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
#psmall = ["80", "81", "443", "591", "2082", "2087", "2095", "2096", "3000", "8000"... |
from __future__ import division
from __future__ import print_function
import argparse
import os
import sys
import time
import chainer
import matplotlib.pyplot as plt
import matplotlib.ticker as tick
import numpy as np
from PIL import Image
import six
sys.path.append('..')
from lib import iproc # NOQA
from lib import... |
import pandas as pd
from PIL import Image
import numpy as np
import keras
from math import floor
import random
from random import shuffle
from sklearn.model_selection import train_test_split
from keras import regularizers
from keras.callbacks import ModelCheckpoint
from keras.models import Sequential
from keras.mode... |
"""
Contains potential usage examples of the library.
"""
import os
import sys
import json
import requests
import krdict
try:
# try to load environment variables from .env file
from dotenv import load_dotenv
load_dotenv()
except ImportError:
pass
krdict.set_key(os.getenv('KRDICT_KEY'))
def _display... |
import os
from datetime import datetime, timedelta, timezone
import tempfile
from django.db import transaction
import boto3
import pytz
from google.transit import gtfs_realtime_pb2
from busshaming.models import Trip, TripDate, TripStop, RealtimeEntry, Route, Stop
from busshaming.enums import ScheduleRelationship
S3... |
import datetime
import json
from itertools import groupby
from pprint import pprint
from .shared import financial_statement_iterator, partition_consolidated
from sqlalchemy import Table, Column, ForeignKey, MetaData
from sqlalchemy import DateTime, String, Text
from sqlalchemy import Sequence, UniqueConstraint
from ... |
from __future__ import print_function
import argparse
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data.distributed
import byteps.torch as bps
import timeit
import numpy as np
import os, sys
from torch.profiler import profile, ProfilerActivity
from... |
from __future__ import print_function, division, absolute_import
import json
from collections import OrderedDict
from functools import partial
from os.path import basename
from future import standard_library
from littleutils import DecentJSONEncoder, withattrs, group_by_attr
standard_library.install_aliases()
impor... |
"""
Define an abstract solver and a greedy, a random, a simulated annealing solvers
considering an uncertainty grid.
"""
import numpy as np
import copy
import operator
import random
import math
from sys import path
from simanneal import Annealer
import matplotlib.pyplot as plt
from matplotlib import colors
from matplo... |
"""
size tupes are always (height, width) so that image.shape == (height, width, :)
coordinates are always (row, column) so that `image[row, column]` where `0 < row < height`
"""
import warnings
import time
from skimage import img_as_float, io, transform
# Plotting
import matplotlib.pyplot as plt
from mpl_toolkits.m... |
import cv2
import numpy as np
from matplotlib import pyplot as plt
# https://docs.google.com/document/d/111AoZXtdh8aA2yi4HzprencKoS-pNsMQ4IZL3wqHZtw/edit?usp=sharing
# 0. CV_CAP_PROP_POS_MSEC Current position of the video file in milliseconds.
# 1. CV_CAP_PROP_POS_FRAMES 0-based index of the frame to be decoded/cap... |
# -*- coding: utf-8 -*-
import copy
from django.core.exceptions import ImproperlyConfigured
from django.db.models.base import ModelBase
from django.db import models
from django.utils import six
from django.utils.functional import LazyObject, empty
from polymorphic.models import PolymorphicModelBase
from shop.conf impo... |
import asyncio
import logging
import socket
import time
__version__ = "1.1.6"
from .data import LIP_PROTOCOL_MODE_TO_LIPMODE, LIPMessage, LIPMode
from .exceptions import LIPConnectionStateError, LIPProtocolError
from .protocol import (
CONNECT_TIMEOUT,
LIP_ACTION_CHAR,
LIP_EMPTY_RE,
LIP_ERROR_RE,
... |
from __future__ import division
import math
import six
import theano
import theano.tensor as T
import numpy as np
import progressbar
from neupy.core.config import Configurable
from neupy.core.properties import Property, BoundedProperty
from neupy.utils import as_tuple
from neupy.algorithms.constructor import Constru... |
#!/usr/bin/env python3
# noinspection PyPackageRequirements
import re
import netaddr
import pan.xapi
import yaml
class Config:
def __init__(self, filename):
with open(filename, 'r') as stream:
config = yaml.safe_load(stream)
self.top_domain = config['top_domain']
self.firewa... |
import os
import re
import time
from itertools import chain
from errbot import BotPlugin, re_botcmd
from errbot.core import ErrBot
from slack_sdk.errors import SlackApiError
import config_template
from lib import ApproveHelper, create_sdm_service, MSTeamsPlatform, PollerHelper, \
ShowResourcesHelper, ShowRolesHelp... |
# (c) 2018, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
''' unit tests ONTAP Ansible module: na_ontap_cifs_server '''
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import json
import pytest
from ansible_collections... |
import ast
import glob
import xnet
import numpy as np
import matplotlib.pyplot as plt
from igraph import *
from textwrap import wrap
from sklearn.cluster import KMeans
from util import get_attr_pacs, get_pac_list
from sklearn.cluster import AgglomerativeClustering
from sklearn.feature_extraction.text import CountVecto... |
# -*- coding: utf-8 -*-
import httplib
import logging
from django.db import transaction, connection
from django_bulk_update.helper import bulk_update
from django.contrib.contenttypes.models import ContentType
from framework.auth import get_or_create_user
from framework.exceptions import HTTPError
from framework.flas... |
#-------------------------------------------------------------------------------
# Name: rwfile.py
# Purpose: テキストファイル入出力モジュール
#
# Author: shikano.takeki
#
# Created: 08/12/2017
# Copyright: (c) shikano.takeki 2017
# Licence: <your licence>
#----------------------------------------------------... |
'''
This file include some functions for STED distance computation
'''
import numpy as np
import pickle
import math
import time
import openmesh as om
with open('edgelist.pkl', 'rb') as f:
edge_list = pickle.load(f)
with open('velist.pkl', 'rb') as f:
vertex_edge_list = pickle.load(f)
def sted_compute(src_point_arra... |
import os.path
import logging
import typing
from d3m import container, utils
from d3m.container import DataFrame as d3m_DataFrame
from d3m.metadata import hyperparams, params, base as metadata_base
from d3m.exceptions import PrimitiveNotFittedError
from d3m.primitive_interfaces.base import CallResult
from d3m.primitiv... |
"""
GUI for Morse Code Trainer
"""
import threading
import gettext
import datetime
import time
import wx
import wx.grid
from morsecodetrainer.trainer import Trainer
from morsecodetrainer import config
from morsecodelib.config import config as morseConfig
myEVT_NEWWORD = wx.NewEventType()
EVT_NEWWORD = wx.PyEventBin... |
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponse, Http404
from django.template import TemplateDoesNotExist
from django.template.loader import get_template
from django.contrib.auth.views import LoginView, LogoutView, PasswordChangeView
from django.contrib.auth.de... |
from __future__ import absolute_import, division, print_function
import itertools
import math
import pytest
import torch
from torch.autograd import Variable
import pyro
import pyro.distributions as dist
import pyro.optim
from pyro.infer import SVI
from pyro.infer.enum import iter_discrete_traces
from pyro.infer.trac... |
from __future__ import print_function, division
from hscom import __common__
(print, print_, print_on, print_off, rrr, profile,
printDBG) = __common__.init(__name__, '[encounter]', DEBUG=False)
# Python
from itertools import izip
# Science
import networkx as netx
import numpy as np
from scipy.cluster.hierarchy import ... |
# 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... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function
import os
import re
from astropy.table import Table
from astropy.tests.helper import pytest
import astropy.coordinates as coord
import astropy.units as u
from ...utils.testing_tools import MockResponse
from ... imp... |
import os
import argparse
import requests
import cv2
import numpy as np
import tldextract
import pytube
import hashlib
import tldextract
import pytube
import time
import base64
from PIL import Image
from flask import Flask, request, render_template, redirect, make_response, jsonify
from pathlib import Path
from werkze... |
# Copyright (c) 2021 elParaguayo
#
# 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, distrib... |
import ast
import hashlib
import hmac
import os
import re
import six
import time
from base64 import b64decode, b64encode
from binascii import hexlify
from six.moves.urllib import parse as urlparse
from enum import Enum
# ujson is not installable with pypy
try: # pragma: no cover
import ujson as json # NOQA
... |
# GPLv3 License
#
# Copyright (C) 2020 Ubisoft
#
# This program 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 2 of the License, or
# (at your option) any later version.
#
# This program is dis... |
# -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-用户管理(Bk-User) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the Lic... |
# flake8: noqa
# @TODO: code formatting issue for 20.07 release
from typing import Any, Dict, List, Optional, Tuple
import configparser
import logging
import os
from catalyst.tools.frozen_class import FrozenClass
logger = logging.getLogger(__name__)
class Settings(FrozenClass):
def __init__(
self,
... |
from colorfield.fields import ColorField
from multiselectfield import MultiSelectField
from django.conf import settings
from django.contrib.gis.db import models
from django.db.models import Q
from django.utils.html import escape
from django.utils.translation import gettext_lazy as _
from geotrek.authent.models import S... |
# -*- coding: utf-8 -*-
"""
The MIT License (MIT)
Copyright (c) 2015-2019 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 u... |
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import logging
import numpy as np
import tensorflow as tf
from tensorflow.python.ops import array_ops
from tensorflow.python.ops.rnn import dynamic_rnn as _drnn, _rnn_step as _rnn_step, bidirectional_dynamic_rnn as _brnn, _infer_s... |
# _*_coding: utf-8_*_
import datetime
import json
import os
import sys
from train import *
import argparse
def make_html_safe(s):
s = s.replace("<", "<")
s = s.replace(">", ">")
return s
def write_for_rouge(reference_sents, decoded_words, ex_index, _rouge_ref_dir, _rouge_dec_dir):
decoded_se... |
# (C) Copyright 2021 Hewlett Packard Enterprise Development LP.
from flask import current_app, Blueprint, json, request
afc = Blueprint('afc', __name__)
from datetime import datetime
from flask import render_template
import uuid
import classes.classes as classes
@afc.route("/afcfabrics", methods=['GET','POST'])
de... |
# -*- coding:utf-8 -*-
# !/usr/bin/env python
import argparse
import json, os
import matplotlib.pyplot as plt
import skimage.io as io
# import cv2, random
import random
from labelme import utils
import numpy as np
import glob
from tqdm import tqdm
import PIL.Image
class MyEncoder(json.JSONEncoder):
def default(s... |
#!/usr/bin/env python2
# -*- coding: utf8 -*-
from __future__ import print_function
import os
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt
try:
from scipy.misc import imsave
except:
from imageio import imsave
from PIL import Image
from scipy import ndimage
import cv2
from ... |
# -*- coding: utf-8 -*-
"""
Project: Psychophysics_exps
Creator: Miao
Create time: 2021-02-01 15:03
IDE: PyCharm
Introduction: exp1 ms Calculate partial corr between deviation score and number of discs' into others crowding zones.
Plot the parr corr results
Plot partical corrs against increasing ellipse sizes - invert... |
# As this program takes a while to load - print a warning to the user
print("Please be patient while the program loads......")
# Section 1 - Import the required libraries for the project
import time
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Section 2 - Define the 5 Sorting Algo... |
import numpy as np
from scipy.special import gammaln, psi
# TODO: define distribution base class
class Discrete(object):
def __init__(self, p=0.5*np.ones(2)):
assert np.all(p >= 0) and p.ndim == 1 and np.allclose(p.sum(), 1.0), \
"p must be a probability vector that sums to 1.0"
self.p... |
"""
Interfaces with ``keyboard`` to provide mid-level input emulation routines
"""
import multiprocessing
import time
import keyboard
import mouse
# Python 3 compatibility
try:
basestring
except NameError:
basestring = str
class Mouse(object):
""" Mid-level mouse routines. """
def __init__(self):
... |
#!/usr/bin/env python
# Filename: rasterize_polygons
"""
introduction: rasterize polgyons into raster using rasterio
difference from get_sub_label in "get_subImages.py", this script rasterizes the entire scene, not only the surrounding of a polygon
A similar scrip is ../../DeeplabforRS/prepare_raster.py with gdal_r... |
"""
Arcade program that uses the classes in universe.py
Inspired by the One Lone Coder's video on Procedurally Generated Universes
"""
# Imports
import arcade
from copy import deepcopy
from universe import StarSystem
from constants import SCREEN_HEIGHT, SCREEN_WIDTH
# Constants
SECTOR_SIZE = 50
SECTORS_X = SCREEN_WID... |
"""
Utility functions for the benchmarks
==========================================
"""
import importlib
import os
import time
import matplotlib as mpl
from matplotlib import pyplot as plt
from si_prefix import si_format
import numpy as np
import torch
import jax
use_cuda = torch.cuda.is_available()
#############... |
import praw
import datetime
import re
from collections import OrderedDict
from WriteDatabase import write_databases
# TODO: Keep refactoring. Use more descriptive variable names
# Function which completely rebuilds the database
def build_database(reddit, youtube):
sub_dates = get_sub_threads(reddit)
res_dates... |
import torch
import numpy as np
from torch import Tensor
_MEL_BREAK_FREQUENCY_HERTZ = 700.0
_MEL_HIGH_FREQUENCY_Q = 1127.0
def mel_to_hertz(mel_values):
"""Converts frequencies in `mel_values` from the mel scale to linear scale."""
return _MEL_BREAK_FREQUENCY_HERTZ * (
np.exp(np.array(mel_values) / _MEL_HI... |
import typing
import urllib.parse
import requests
import bs4
import princeton_scraper_seas_faculty.campus_directory
import princeton_scraper_seas_faculty.constants
import princeton_scraper_seas_faculty.helpers
__author__ = "<NAME> <<EMAIL>>"
__all__ = [
"SeasFacultyInformation",
"fetch_seas_faculty_direct... |
# Haybaler
# <NAME>, Nov 2020 - April 2021
# Combine your Wochenende .bam.txt or reporting output from multiple samples into one matrix per stat.
# Usage: bash run_haybaler.sh
import pandas as pd
import click
import os
import re
version = "0.30 - April 2021"
# changelog
# 0.30 read all samples in one call. Filter... |
from os import environ
from flask import Flask, g, request, abort, jsonify, url_for, make_response
from werkzeug.exceptions import HTTPException
from uservice.core.users import User, auth, db
from uservice.views.basic_views import (
ListProjects, CountJobs, FetchNextJob, BasicView, FetchJobPrio,
AnalyzeFailed... |
import json
import math
import os
import shutil
import torch
from . import Callback
__all__ = ['ModelCheckpoint']
class ModelCheckpoint(Callback):
"""
Model Checkpoint to save model weights during training. 'Best' is determined by minimizing (or maximizing) the value found under monitored_log_key in the l... |
import time
import json
import config
import logging
import log
import logging.config
import services
import sys
from service_ha import ServiceHa
from service_ovpn import ServiceOvpn
import socket
import ipaddress
import hashlib
import base64
import re
import dns.resolver
def timefmt(tme):
return(time.strftime("%Y... |
#!/usr/bin/env python3
import argparse
import json
import uuid
import re
import os
import subprocess
NAMESPACE = uuid.UUID('c6591d1d-27bc-4c94-bd54-1b51f8a2456c')
def get_uuid5(value_to_hash):
return str(uuid.uuid5(NAMESPACE, value_to_hash))
def get_analysis_workflow_id(analysis_output_path):
"""Parse the... |
from datetime import datetime, timedelta
from pdb import set_trace
from django.test import TestCase
from django.db import models
from django.dispatch import Signal
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse, NoReverseMatch
from django.template import Context
from django.te... |
"""
主要包括去燥, 计算特征信号等
"""
from preprocessOfApneaECG.fileIO import get_database
from preprocessOfApneaECG.denoising import denoise_ecg
from preprocessOfApneaECG.list2mat import list2mat
import os
import numpy as np
import matlab.engine
import scipy.io as sio
from scipy import interpolate
from preprocessOfApneaECG.mit2Seg... |
"""Platform for Miele integration."""
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import Any, Callable, Final
from homeassistant.components.climate import (
ClimateEntity,
ClimateEntityDescription,
ClimateEntityFeature,
)
from homeassistant.components.cl... |
# Copyright 2017 Canonical Ltd.
# Licensed under the LGPLv3, see LICENCE file for details.
from collections import namedtuple
from threading import Lock
from ._authorizer import ClosedAuthorizer
from ._identity import NoIdentities
from ._error import (
AuthInitError,
VerificationError,
IdentityError,
D... |
"""Tests for metabolomics.py using pytest."""
from pathlib import Path
import pymongo
import pytest
from pymongo.errors import ServerSelectionTimeoutError
from minedatabase.metabolomics import (
MetabolomicsDataset,
Peak,
dot_product,
jaccard,
read_mgf,
read_msp,
read_mzxml,
spectra_d... |
#!/usr/bin/python
'''Get details about installed methods
<NAME> 3/15/2020
'''
import configparser
from os.path import expanduser, join, isfile, isdir
from os import mkdir
import time
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 `importlib_resources`.
impo... |
"""Main Controller"""
import tg
from tg import expose, redirect, config, validate, override_template, response, render_template, tmpl_context
from tg import cache, i18n, request
from tg.decorators import paginate, use_custom_format, with_trailing_slash, Decoration, before_render
from tg.controllers import TGController
... |
import bpy
from bpy_extras.io_utils import ExportHelper, ImportHelper
import math
from . import data
from . import calc
from . import create
from . import delete
from . import io
from . import update
from . test_camera_generator import test_main
from typing import Any, List, Dict, Tuple
# ---------------------------... |
import re
import MeCab
TAGGER = None
def get_word_and_tags_list(raw):
global TAGGER
if TAGGER is None:
TAGGER = MeCab.Tagger()
postags = list()
for item in TAGGER.parse(raw).rstrip().split('\n')[:-1]:
sp1 = item.split('\t')
word = sp1[0]
info = sp1[1].split(',')
... |
#!/usr/bin/env python3
import argparse
import requests
import urllib3
import sys
import json
import re
import time
# The purpose of this script is to facilitate backup/restore of settings in RP4VMs
# The script exclusively uses the new RESTful API in RP4VMs 5.3
# Author(s) - <NAME> <<EMAIL>>
# Version 1 ... |
import re
import numpy as np
from utensor_cgen.backend.utensor.snippets._base import Snippet, SnippetBase
from utensor_cgen.backend.utensor.snippets._types import (NP_TYPES_MAP,
UTENSOR_TYPES_MAP)
__all__ = [
"OpConstructSnippet",
"DeclareRomTensorSnippet... |
#!/usr/bin/env python
import os
import sys
import time
import argparse
import logging
from dae.gpf_instance.gpf_instance import GPFInstance
from dae.backends.impala.import_commons import (
construct_import_annotation_pipeline,
save_study_config,
)
from dae.backends.dae.loader import DenovoLoader, DaeTransmi... |
import os
import pytest
import numpy as np
from datetime import datetime
import ezomero
from ezomero import rois
from omero.cli import CLI
from omero.gateway import BlitzGateway
from omero.gateway import ScreenWrapper, PlateWrapper
from omero.model import ScreenI, PlateI, WellI, WellSampleI, ImageI
from omero.model imp... |
# coding:utf-8
# fork from https://github.com/adilmoujahid/deeplearning-cats-dogs-tutorial
# alse ref: https://www.cnblogs.com/zhonghuasong/p/7469750.html
# to python 3.6
# -----------------------------------
# 2018-2-28 test result:
# Too many images, instance was killed due to low memroy.
# need to divide the im... |
import filecmp
import os
import pathlib
import shutil
import yaml
import numpy as np
import mc2client as mc2
import pytest
from envyaml import EnvYAML
# Note: to run this test, you'll need to start a gRPC orchestrator and an enclave running Secure XGBoost
# Follow the demo here to do so: https://secure-xgboost.readt... |
# -*- coding: utf-8 -*-
"""
pyvisa.resources.resource
~~~~~~~~~~~~~~~~~~~~~~~~~
High level wrapper for a Resource.
This file is part of PyVISA.
:copyright: 2014 by PyVISA Authors, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from __future__ import division, ... |
# -*- coding: utf-8 -*-
# @Time 2021/8/19 14:19
import cv2
from PIL import Image
import numpy
from . import ImageCommonProcess
# code from：https://blog.csdn.net/weixin_42194239/article/details/91975662
# erode process
def erode_img(img, kernel_args=(2, 2), iterations=1):
kernel = numpy.ones(kernel_args, numpy.ui... |
# Copyright (c) OpenMMLab. All rights reserved.
from copy import deepcopy
from typing import Sequence
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN
from mmcv.runner.base_module import BaseModule, M... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © Her Majesty the Queen in Right of Canada, as represented
# by the Minister of Statistics Canada, 2019.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... |
######################################################################################################################
# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
import torch
from fline.models.models.research.connected_components import ConnectedComponents
class SelfAttention(torch.nn.Module):
""" Self attention Layer"""
def __init__(self, in_dim):
super(SelfAttention, self).__init__()
self.chanel_in = in_dim
self.query_conv = torch.nn.Conv2... |
import random
import datetime
import glog as log
import json
from multivitamin.data.response import config
# from multivitamin.data.response.dtypes import Point
def read_json(file_path):
"""Convenience method for reading jsons"""
return json.load(open(file_path))
def write_json(json_str, file_path, indent... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
""" Dynamic Variabes a.k.a. dependencies and dynamic objects garbage collection.
"""
from __future__ import print_function
import time
import threading
import sys
import json
import multiprocessing
from multiprocessing.dummy import Pool as Thread... |
"""
Bayesian Block implementation
=============================
Dynamic programming algorithm for finding the optimal adaptive-width histogram.
Based on Scargle et al 2012 [1]_
References
----------
.. [1] http://adsabs.harvard.edu/abs/2012arXiv1207.5578S
"""
import numpy as np
from astroML.utils import deprecated
f... |
import torch
import torch.nn as nn
import dlutil as dl
class MultiHeadAttention(nn.Module):
def __init__(self, q_in_features, k_in_features, v_in_features, num_heads, d_model):
super(MultiHeadAttention, self).__init__()
self.num_heads = num_heads
self.d_model = d_model
assert d_mod... |
# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from typing import Iterable
import cv2
import mmcv
import numpy as np
import torch
from mmcv.parallel import collate
from mmcv.tensorrt import is_tensorrt_plugin_loaded, onnx2trt, save_trt_engine
from mmdet.datasets import ... |
#!/usr/bin/env python3
from netCDF4 import Dataset
from scipy.spatial import cKDTree
from PIL import Image
import copy
import matplotlib
matplotlib.use('TkAgg')
import numpy
import pyart.graph.cm # Just for the NWSRef colormap
import pygrib
import scipy.ndimage
# Basically a singleton that all GriddedFields can use t... |
from typing import Any, Union
from boa3.builtin import NeoMetadata, metadata, public
from boa3.builtin.contract import Nep17TransferEvent, abort
from boa3.builtin.interop.blockchain import get_contract
from boa3.builtin.interop.contract import GAS, NEO, call_contract
from boa3.builtin.interop.runtime import calling_sc... |
import sqlite3
import pandas as pd
import pyarrow as pa
import pyarrow.plasma as plasma
import numpy as np
import pickle
start_project_time = 1541498400
# Init
tz = "Europe/Oslo"
date_format = "%Y-%m-%d %H:%M:%S"
depth_tags = tuple(
*[
list(range(10, 90, 2))
+ list(range(97, 107))
+ list(r... |
import networkx as nx
from utils import files,statistics
import json
# 将线的label数据进行处理，最后得到{'label':数值}
def get_data_from_label_edge(network):
# source target 其他label
labels = files.get_labels_from_db(network, False)
G = files.read_network_with_type(network)
edges = G.edges()
data = []
temp =... |
# Copyright 2018 Red Hat, 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 ... |
# Copyright 2022 The Balsa 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 applicable law or agreed to in wr... |
import operator
import numpy as np
import torch
from torch.nn import DataParallel
from torchvision.utils import make_grid
from trainer.trainer import Trainer
from utils import map_fn, operator_on_dict
# inherit from Trainer
class MonoRecTrainer(Trainer):
def __init__(self, model, loss, metrics, optimizer, confi... |
import os
from datetime import datetime
import gym, copy
import numpy as np
import torch
import torch.nn as nn
import xlwt
from torch.distributions import Categorical, MultivariateNormal
def initial_excel():
global worksheet, workbook
# xlwt 库将数据导入Excel并设置默认字符编码为ascii
workbook = xlwt.Workbook(encoding='as... |
import numpy as np
import os
import re
from dataprocess.data_settings import DATADIR, RAWDATA_2014MEHTA, RAWDATA_2018SCMCA, PIPELINES_VALID
"""
Standardize: convert different formats of scRNA expression data into local standard
- store row labels (genes), column labels (cell ID), and data (expression levels) in o... |
#!/usr/bin/env python3
import base64
import errno
import http.client
import json
import logging
import os
import pickle # nosec
import socket
import ssl
import sys
import threading
from typing import Any, Type
import ctf_gameserver.lib.flag
from ctf_gameserver.lib.checkresult import CheckResult
_TIMEOUT_SECONDS ... |
# ------------------------------------------------------------
# Copyright (c) 2017-present, SeetaTech, Co.,Ltd.
#
# Licensed under the BSD 2-Clause License.
# You should have received a copy of the BSD 2-Clause License
# along with the software. If not, See,
#
# <https://opensource.org/licenses/BSD-2-Clause>
#
# ... |
import sys
from pretty_midi.utilities import program_to_instrument_class
sys.path.append('./models')
sys.path.append('../accomontage code/models')
from model import DisentangleVAE
from ptvae import PtvaeDecoder
from EC2model import VAE
sys.path.append('./util_tools')
from format_converter import melody_matrix2data, ... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import random
from torch.distributions import Normal
from torch.optim import lr_scheduler
import os
class Actor(nn.Module):
def __init__(self, input_size, hidden_size=400, output_size=1,seed=1):
super(Actor, self).__init... |
import logging
import subprocess
import uuid
import boto3
import os
import json
import sys
import time
from botocore.exceptions import ClientError, DataNotFoundError
s3 = boto3.client('s3')
rek = boto3.client('rekognition')
sqs = boto3.client('sqs')
event = boto3.client('events')
dynamodb = boto3.resource('dynamodb'... |
import os
import csv
import shutil
import requests
import datetime
import dateutil
import traceback
def obterUFEstadoPorNome(estado):
"""
Retorna o codigo UF do estado a partir do nome do estado
:param estado: Nome do estado
:return codigoDoEstado: Código UF do estado
"""
try:
with ope... |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from ast import literal_eval
from builtins import *
from future.utils import iteritems
import os
import json
import logging
from brave.palettes import *
from brave.notebook_display import *
ipython = try_imp... |
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