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from stdnet.exceptions import * from structures import pipelines, Structure novalue = object() try: import cPickle as pickle except ImportError: import pickle #default_pickler = jsonPickler() default_pickler = pickle class NoPickle(object): def loads(self, s): return s ...
__doc__ = """ Script to use jellyfish to get kmer information Input: fasta/fastq file Output: kmer information, one of: 1. hash: binary hash of counts 2. stats: summary stats 3. dump: profile (kmer seq - count) 4. histo: histogram (count - abundance) 5. histo ranked: count, abundance, count*abundance, reverse...
# coding=utf-8 from django import test from django.shortcuts import resolve_url from django.test import TestCase from django.test.utils import override_settings from mock import patch from django_opt_out.models import OptOut from django_opt_out.plugins.sparkpost import send_email, signals from .test_views import Captu...
import dataiku import pandas as pd import numpy as np import logging from dku_model_accessor import get_model_handler, ModelAccessor from dku_model_fairness_report import ModelFairnessMetricReport, ModelFairnessMetric from dku_model_fairness_report.constants import DkuFairnessConstants from dku_webapp.constants import ...
from typing import List, Optional, Union import pyinflect # noqa: F401 import spacy from nltk.tokenize.treebank import TreebankWordDetokenizer from spacy.symbols import AUX, NOUN, PRON, PROPN, VERB, aux, cc, nsubj from spacy.tokens import Span, Token from spacy.tokens.doc import Doc from initialize import spacy_nlp ...
import curses import os from multiprocessing import Process from typing import Any from initload import initialize from play_sounds import play_file as playsound from utils.palettes import palettes # Curses setup screen = curses.initscr() curses.noecho() # curses.cbreak() curses.start_color() curses.can_change_color(...
import numpy import math import sys import numpy from scipy import signal from scipy import ndimage from skimage import io import sys import re import math import sys import numpy from scipy import signal from scipy import ndimage # import gauss import matplotlib.pyplot as plt #!/usr/bin/env python """Module providin...
from .models import MovieNightEvent, Movie, UserAttendence, LocationPermission from rest_framework import serializers from django.utils import timezone from django.contrib.auth.models import User from .utils import badgify import pytz def strfdelta(tdelta, fmt): d = {"days": abs(tdelta.days)} d["hours"], re...
import os, csv, json, shutil from data_tools.coco_tools import read_json from PIL import Image def reduce_data(oidata, catmid2name, keep_classes=[]): """ Reduce the amount of data by only keeping images that are in the classes we want. :param oidata: oidata, as outputted by parse_open_images :param ca...
from htm.bindings.algorithms import TemporalMemory from htm.bindings.sdr import SDR from htm.encoders.rdse import RDSE, RDSE_Parameters import argparse import itertools import numpy as np import random import time default_parameters = { 'num_cells': 2000, 'local_sparsity': .02, 'apical_denrites': { ...
#!/usr/bin/python # -*- coding: utf-8 -*- import getpass import os import pwd import pipeline_io class Environment: PROJECT_ENV = 'MEDIA_PROJECT_DIR' PIPELINE_FILENAME = '.project' PROJECT_NAME = 'name' PRODUCTION_DIR = 'production_dir' ASSETS_DIR = 'assets_dir' SHOTS_DIR = 'shots_dir' T...
from analyzer import StockAnalyzer from stock import Stock from bs4 import BeautifulSoup import pandas as panda import yfinance as yf import requests import re import datetime import os import openpyxl import argparse class StockScanner: def __init__(self): self.winner_stock_list = list() self....
import numpy as np import os from annoy import AnnoyIndex import trimesh as trm from scipy.spatial import distance from scipy.stats import wasserstein_distance from shape import Shape from utils import flatten_features_array, read_off from settings import Settings # from src.utils import flatten_features_array, read_o...
import pytest import time import random from endpoints.stores import ReadStoreError from services import service_factories from tools import tools from endpoints.tests.emulators import ( DSMR_Emulator, Fronius_Emulator ) from services.strategies.basic import Log_Strategy from services.events import Periodic...
# -*- coding: utf-8 -*- """ Author: <NAME> created within the scope of Lifewatch - INBO """ import sys import argparse import requests # urllib is used to escape spaces, ampersands. # for strings, use: urllib.parse.quote_plus(string) # for tuples of parameters, use: urllib.parse.urlencode(parameters) import urllib.p...
# -*- coding: utf-8 -*- from gluon import current from s3 import * from s3layouts import * try: from .layouts import * except ImportError: pass import s3menus as default # ============================================================================= class S3MainMenu(default.S3MainMenu): """ Custom Applica...
#!/usr/bin/env python3 ''' Created on Monday, May 15 2017 Last Updated Friday, Oct 20 2017 Computes molecule size and stdev (for error bounds of molecule size) Columns: Rname Start End Size BX MI Reads Mapq_median AS_median NM_median Version 0.0.1 @author: cjustin ''' from optparse import OptionParser import pysam...
import scipy.signal as s import numpy as np import matplotlib.pyplot as plt import pyabf from patch_clamp import database as db QUERY = """SELECT metadata.fname, metadata.cell_side, metadata.cell_n, metadata.mouse_id, metadata.treatment_group AS treatment, peaks...
"""ImportChains.""" from collections import defaultdict from typing import Callable import attr import toolz from bs4 import BeautifulSoup from kivy.factory import Factory from kivy.lang import Builder from kivymd.app import MDApp from kivymd.uix.filemanager import MDFileManager from pony.orm import db_session from ....
# Copyright 2012 VPAC, http://www.vpac.org # Copyright 2013-2016 <NAME> <<EMAIL>> # # This file is part of Patchman. # # Patchman 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, version 3 only. # # Patchman is...
# -*- coding:utf-8 -*- import os import random import cv2 import argparse def mkdir_if_not_exist(path): if not os.path.exists(os.path.join(*path)): os.makedirs(os.path.join(*path)) class CasiaSurf(object): def __init__(self): self.color_list = [] self.depth_list = [] self.ir_...
import numpy from oasys.util.oasys_util import get_fwhm from wofry.propagator.wavefront1D.generic_wavefront import GenericWavefront1D from srxraylib.plot.gol import set_qt, plot_table, plot, plot_image from score import Score # see also https://people.inf.ethz.ch/gander/papers/qrneu.pdf def get_coherent_fraction_exa...
import re from itertools import chain from typing import TYPE_CHECKING, Dict, List, Optional, Tuple from buildpg import Empty, Func, V, funcs from em2.utils.core import message_simplify from em2.utils.db import Connections if TYPE_CHECKING: # pragma: no cover from .core import Action, File # noqa: F401 __all_...
import requests import re import random import configparser from bs4 import BeautifulSoup from flask import Flask, request, abort from imgurpython import ImgurClient from linebot import ( LineBotApi, WebhookHandler ) from linebot.exceptions import ( InvalidSignatureError ) from linebot.models import * app = F...
from abc import abstractmethod from io import StringIO from typing import * import numpy as np import torch from torch.utils.data import DataLoader # The Protocol type does not exist until Python 3.7. # TODO: Remove the try-except when Python 3.6 support is dropped. try: from typing import Protocol except Impor...
from __future__ import print_function import os import sys import multiprocessing import time import json import uuid import functools import gzip import vcr import vcr.cassette import vcr.errors import vcr.serialize import vcr.request from flowy import restart from flowy import wait from flowy import TaskError from ...
# class placeholders class Container: pass class NativeArray: pass class NativeVariable: pass class Array: pass class Variable: pass class Framework: pass class Device: pass class Node: pass class Dtype: pass # global constants _MIN_DENOMINATOR = 1e-12 _MIN_BASE = ...
""" Copyright 2019 Secure, Reliable, and Intelligent Systems Lab, ETH Zurich 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...
""" Auxiliary functionality used by other modules of the pymetacode package. To avoid circular dependencies, this module does *not* depend on any other modules of the pymetacode package, but it can be imported into every other module. As naturally, a utils module tends to be a bit messy, the different tools available...
import os import sys import pwd import getopt, sys import pkg_resources import time import trio import client as cli from client import close, error, bpwait, bpresume, sent, stop, rmv udb = {} def get_udb (keys): return cli.get_db(udb, keys) def update_udb (keys, val): cli.update_db(udb, keys, val) dsdict ...
import logging from realmusicbot.keyboards import keyboards from realmusicbot.get import get from threading import Thread from random import choice from time import sleep import mpd from realmusicbot.settings import * import telebot telebot.apihelper.READ_TIMEOUT = TIMEOUT if RADIO_ON: from .get_radio import get_...
import torch import os from utils import * import numpy as np def prune(model, compress_rate, criterion, optimizer, train_loader, test_loader, arch, save_dir, epochs, layer_begin, layer_end, layer_inter, skip_downsample, learning_rate, lr_adjust, print_freq): best_prec1 = 0 filename = os.path.join(save_dir, 'c...
import pytest import numpy as np from paminco.net.network import Network from paminco.algo.efa import EFA from paminco.net._data_examples import (NET_ELECTRICAL_BRAESS, NET_ELECTRICAL_PIECEWISE, NET_DISCONTINUOUS_COST) from paminco.callback ...
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Interpolation of Amplitude and Phase using the interpolant derived by <NAME>. For details see - https://doi.org/10.1007/s10236-017-1122-8 TODO: * Add a wrapper class * Add type and error check * Add case for missing value Author: khan """ import numpy as n...
"""The main abstractions in the project.""" import logging import random from enum import Enum from typing import (Any, Dict, Iterable, Iterator, List, Optional, Sequence, Set, Tuple, Union) import numpy as np import torch from torch import device as t_device from torch import set_num_threads from ...
""" Parse public_api.h and generates various stubs around """ import attr import re import py from copy import deepcopy import pycparser from pycparser import c_ast from pycparser.c_generator import CGenerator from packaging import version if version.parse(pycparser.__version__) < version.parse('2.20'): raise Impo...
''' BSD 3-Clause License Copyright (c) 2019, <NAME> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of condition...
import numpy as np import tvm from tvm import relay from tvm.relay.testing import annotate_exact_matches, check_compiler_call def relay_lstm_cell(batch_size, input_size, hidden_size): state_tensor_type = relay.TensorType((batch_size, hidden_size)) state_tuple_type = relay.TupleType([state_tensor_type, state_te...
from collections import OrderedDict from onegov.ballot.constants import election_day_i18n_used_locales from onegov.ballot.models.election.candidate import Candidate from onegov.ballot.models.election.candidate_result import CandidateResult from onegov.ballot.models.election.election import Election from onegov.ballot.m...
import tensorflow as tf def get_matched_features(features_a, features_b, sinkhorn_lambda, nr_sinkhorn_iter): n = features_a.get_shape().as_list()[1] fa_batch1, fa_batch2 = tf.split(features_a, 2, axis=0) fb_batch1, fb_batch2 = tf.split(features_b, 2, axis=0) # calculate all distances dist_a1_a2 ...
""" This file implements following paper: Video Segmentation by Non-Local Consensus Voting """ from __future__ import absolute_import from __future__ import division from __future__ import print_function # from __future__ import unicode_literals import sys import time from PIL import Image import numpy as np from scip...
# Copyright (c) 2020 Cognitive & Perceptual Developmental Lab # Washington University School of Medicine # 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 restrictio...
#!/usr/bin/env python # @formatter:off # # ,, # db # \ # _\,, `7MM `7MM `7MMpMMMb. `7MM ,p6"bo ,pW"Wq.`7Mb,od8 `7MMpMMMb. # "-=\~ _ MM MM MM MM MM 6M' OO 6W' `Wb MM' "' MM MM #...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Aug 31 16:46:12 2020 @author: skyjones """ import os import re import shutil import sys import pandas as pd from glob import glob import nibabel as nib import numpy as np import matplotlib.pyplot as plt from scipy import stats from sklearn.ensemble im...
import torch import numpy as np class TorchKNN(): def __init__(self, n_classes, dimension=512, cells_allocate=5_000, verbose=0): """ This instantiates a TorchKNN object and allocates the index/labels arrays for future use. It also determines the device if cuda is available. Inputs...
import numpy as np from sirius import inner, l2norm, CoefficientArray, Logger, diag import h5py from copy import deepcopy from scipy.constants import physical_constants from mpi4py import MPI from .free_energy import FreeEnergy, s logger = Logger() def _constraint34(u, tau, T, pe, vkw): """ Keywoard Argumen...
from os.path import basename from pathlib import Path, PurePath from typing import Optional, List VERBOSE = 'VERBOSE' DEBUG = 'DEBUG' WARN = 'WARN' ERROR = 'ERROR' LEVELS = { VERBOSE: { 'level': 0, 'marker': 'V' }, DEBUG: { 'level': 1, 'marker': 'D' }, WARN: { ...
from revelation.isa import decode from revelation.instruction import Instruction import opcode_factory import pytest @pytest.mark.parametrize('name,instr', [('add32', opcode_factory.add32(rd=0, rn=0, rm=0)), ('add16', opcode_factory.add16(rd=0, rn=0, rm=...
# Copyright (c) 2018-2020 ISciences, LLC. # All rights reserved. # # WSIM is 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 app...
#!/usr/bin/python3 #--------------------------------------------------------------------------# # Made by Harvey298 # # Simple AUR Helper | 25 Jan 2021 # # ...
from collections import namedtuple import tensorflow as tf import numpy as np from mvc.action_output import ActionOutput from mvc.models.networks.base_network import BaseNetwork from mvc.models.networks.ddpg import initializer, build_target_update from mvc.models.networks.ddpg import build_optim from mvc.parametric_f...
# Libreria per ML import numpy as np import geopandas as gpd import pandas as pd # funzioni di sk-learn from sklearn.pipeline import Pipeline from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor from sklearn.neighbors import KNeighborsRegressor from sklearn.linear_model import LogisticRegression ...
''' Database Unit used to create database and calendar. Model Operations Processing System. Copyright <NAME> 2009-2010. Licenced under the EUPL. You may not use this work except in compliance with the Licence. You may obtain a copy of the Licence at http://ec.europa.eu/idabc/eupl or as attached with this a...
# 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 # # Unless required by appli...
import csv from argparse import ArgumentParser from collections import defaultdict from itertools import product from pathlib import Path from typing import Set, Optional, Sequence import librosa.display import matplotlib.ticker as tckr import matplotlib.pyplot as plt import mir_eval import numpy as np from numpy impo...
r""" Prototype for object model backend for the libNeuroML project """ import numpy as np import neuroml class ArrayMorphology(neuroml.Morphology): """Core of the array-based object model backend. Provides the core arrays - vertices,connectivity etc. node_types. The connectivity array is a list of ...
# Copyright 2016-2022 The FEAGI 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 applic...
from console.routes.utils import * from console.db import Database import logging from flask import Flask, render_template, request, flash, redirect, session, url_for import datetime import calendar import sys ############################################################################################################...
import numpy as np import numpy.linalg as linalg import cv2 as cv import scipy.optimize as opt import functools import json import math from .common.camera import Camera, Permutation from .common.linear import solve_dlt from .common.math import euclidean, homogeneous from .common.matrix import matrix_intrinsic, matr...
import sys from math import log import subprocess as sp import random import time from statistics import median from random import randint import argparse import os from functools import partial import signal from decomposeIter import Decomposer from MSSdecompose import MSSDecomposer from pysat.card import * import glo...
import os import torch import torch.nn.functional as F import numpy as np from PIL import Image from skimage import io import cv2 def create_anchors_3d_stride(grid_size, voxel_size=[0.16, 0.16, 0.5], coordinates_offsets=[0, -19.84, -2.5], ...
import asyncio import secrets import math import datetime import discord from discord.ext import commands, pages from discord.commands import slash_command, Option from apscheduler.schedulers.asyncio import AsyncIOScheduler from apscheduler.triggers.cron import CronTrigger from database import DatabasePersonality, Da...
import torch import torch.nn as nn import torch.nn.functional as F import torch_geometric from torch.nn import Sequential as Seq, Linear as Lin, ReLU from torch_scatter import scatter_mean class GNNLSTMRecgnition(nn.Module): def __init__(self, hidden_size=16, latent_size=2): super().__init__() ## G...
from tectle.db import get_connection_non_flask from tectle.config import load_config_non_flask import requests def upgrade(conn, cur, config): version = get_version(cur) new_version = version try: if version < 1: query = """ CREATE TABLE db_version ( ...
from copy import copy import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np import brewer2mpl as b2mpl from tqdm import tqdm import seaborn.apionly as sns from .FS_colorLUT import get_lut from seaborn.utils import set_hls_values def electrode_grid(gridx=16, gridy=16, elects_to_plot=None, anatomy...
import datetime import logging import os import time import torch import torch.distributed as dist from torch.nn.parallel import DistributedDataParallel import cv2 from PIL import Image from ssd.engine.inference import do_evaluation from ssd.utils import distributed_util def reduce_loss_dict(loss_dict): """ R...
# -*- coding: utf-8 -*- from PIL import Image import os import shutil import urllib import random global g_iconWidth g_iconWidth = 36 #======================================================== # @brief 计算一小块区域的平均颜色值 # @params dataList 正张图的数据 # col, row 起始位置,多少列,多少行 # width,height 整张图的宽...
# -*- coding: utf-8 -*- import numpy class Dummy(): def __init__(self): '''nothing to do here''' def calc_pm1(self, exp_vars): return self.__sum_exp_vars(exp_vars) def calc_pm2(self, exp_vars): return self.__sum_exp_vars(exp_vars) * 2 def calc_pm10(self, exp_vars): ...
import logging import os from abc import ABC from dataclasses import dataclass from typing import List import numpy as np import onnx import pyeddl.eddl as eddl import stringcase from pyeddl.tensor import Tensor from slaid.commons.base import ImageInfo from slaid.models import Factory as BaseFactory from slaid.models...
#!/usr/bin/env python import json import argparse import logging import sys from datetime import date from datetime import time from datetime import datetime import pprint import pyowm class CalDB(argparse.Namespace): def default_day_record(self, msg = '', wth = {}): return { 'msg': msg, ...
from flask import request, render_template, jsonify from flask_jwt_extended import jwt_required, create_access_token, get_jwt_identity, get_raw_jwt from app import app, db, jwt from app.models import User, Asset from sqlalchemy.exc import IntegrityError from assets import stocks, cryptocurrency, fiat, stocks_options, c...
"""Module providing custom image handling classes implementations to GUI.""" import logging from typing import Optional, Tuple from wiki_music.gui_lib.qt_importer import ( QBuffer, QByteArray, QEvent, QImage, QIODevice, QLabel, QPixmap, QPoint, QRect, QRubberBand, QSize, QSizePolicy, QStyleFactory, Qt, Signal...
#!/home/apollo/anaconda3/bin/python3 #-*- coding: utf-8 -*- #****************************************************************************** # Author : jtx # Last modified: 2020-04-29 16:09 # Filename : patent_clean.py # Description : res_kb_patent企业专利信息清洗,主要是值的清洗和字段按新schema数据格式组织重新插入 #***********************...
"""Implementation of sample attack.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import time from cleverhans.attacks import MultiModelIterativeMethod import numpy as np from PIL import Image import tensorflow as tf from tensorflow.contrib....
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap, BoundaryNorm from collections import OrderedDict from matplotlib.animation import FuncAnimation from gym import utils import sys from six import StringIO, b from IPython.display import HTML COLORS = OrderedDict([ (b"W...
# !/usr/bin/env python3 # -×- coding: utf-8 -*- import requests from lxml import etree import re import os import multiprocessing import asyncio from concurrent import futures import argparse import configparser import shlex import time HEADERS = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/...
from flask import request from flask_wtf import FlaskForm from wtforms import StringField, BooleanField, RadioField, SubmitField, RadioField, SelectField, TextAreaField, DecimalField from wtforms.validators import ValidationError, DataRequired, Length from flask_babel import _, lazy_gettext as _l from app.models import...
import urllib.request from urllib.error import HTTPError from bs4 import BeautifulSoup import requests import csv import math import re from threading import Thread cook='ant_stream_59df58828c697=1521631012/3280484770; bow_stream_59df58828c697=13; _gscu_1601713973=21602093xhf89o98; _gscbrs_1601713973=1; _gscs...
# -*- coding:utf-8 -*- from django.shortcuts import render, redirect, reverse, get_object_or_404 from django.urls import reverse_lazy from django.http import HttpResponse from django.views.generic import View from django.views.generic import TemplateView from django.views.generic import ListView from django.views.gen...
# # Copyright (c) 2017, Intel Corporation. # # This program is free software; you can redistribute it and/or modify it # under the terms and conditions of the GNU General Public License, # version 2, as published by the Free Software Foundation. # # This program is distributed in the hope it will be useful, but WITHOUT...
# #******************************************************************************* # Copyright 2014-2020 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.a...
""" Functions that setup and run the modified DDASAC solver. This is the ODE solver used by the Pfaendtner group to solve this model - users from other institutions may need to configure their own solvers (or use ODE solvers in python, for example from scipy.integrate). All the paths and files referenced in this modu...
import asyncio import inspect import logging import random import sys import weakref from abc import ABC, abstractmethod, abstractproperty from contextlib import suppress import dask from ..metrics import time from ..protocol import pickle from ..protocol.compression import get_default_compression from ..utils import...
import torch, pdb, os, json from shared import _cat_ import numpy as np from model import OptionInfer, Scorer from collections import defaultdict def get_model(path, cuda=True): opt = OptionInfer(cuda) if path.endswith('.yaml') or path.endswith('.yml'): from model import JointScorer model = Jo...
from bootstrapvz.base import Task from bootstrapvz.common import phases from bootstrapvz.common.tasks import workspace from bootstrapvz.common.tools import rel_path import os import shutil import json assets = rel_path(__file__, 'assets') class CheckBoxPath(Task): description = 'Checking if the vagrant box file ...
import logging from babel import Locale from functools import lru_cache from flask import Blueprint, request, current_app from flask_babel import gettext, get_locale from elasticsearch import TransportError from followthemoney import model from followthemoney.exc import InvalidData from jwt import ExpiredSignatureError...
#!/usr/bin/env python3 #=============================================================================== # smsExtractor.py | Version 1.3 | FreeBSD License | 2022-06-21 # <NAME> | <EMAIL> # # Description: # Simple script that extracts SMS and MMS messages from previously # generate...
import argparse import serrant def main(): # Parse command line args args = parse_args() print("Loading resources...") # Load Errant annotator = serrant.load("en") # Open output M2 file out_m2 = open(args.out, "w") print("Processing M2 file...") # Open the m2 file and ...
import json import logging import inspect from .decorators import pipeline_functions, register_pipeline from indra.statements import get_statement_by_name, Statement logger = logging.getLogger(__name__) class AssemblyPipeline(): """An assembly pipeline that runs the specified steps on a given set of statem...
# 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, software # d...
# -*- coding: utf-8 -*- # # Copyright © Spyder Project Contributors # Licensed under the terms of the MIT License # (see spyder/__init__.py for details) """ Spyder API toolbar widgets. """ # Standard library imports from collections import OrderedDict import os import sys from typing import Union, Optional, Tuple, Li...
# This code is modified from https://github.com/facebookresearch/low-shot-shrink-hallucinate import torch from PIL import Image import numpy as np import pandas as pd import torchvision.transforms as transforms import datasets.additional_transforms as add_transforms from torch.utils.data import Dataset, DataLoader fro...
import asyncio from tt_web import postgresql as db from . import objects def impact_from_row(row): return objects.Impact(transaction=row['transaction'], actor=objects.Object(row['actor_type'], row['actor']), target=objects.Object(row['target_type'], row['targ...
#!/usr/bin/env python3 # Copyright 2021 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import argparse import functools import json import os import random import subprocess import sys from multiprocessing import Pool ...
# encoding: utf-8 from functools import partial from collections import OrderedDict import torch import torch.nn as nn import torch.nn.functional as F from config import config from base_model import resnet50 from seg_opr.seg_oprs import ConvBnRelu from seg_opr.loss_opr import AntimagnetLoss class CPNet(nn.Module):...
""" Basic uniform mesh refinement functions. """ import numpy as nm from sfepy.discrete.fem import Mesh def refine_2_3(mesh_in): """ Refines mesh out of triangles by cutting cutting each edge in half and making 4 new finer triangles out of one coarser one. """ cmesh = mesh_in.cmesh # Unique e...
import os from cStringIO \ import \ StringIO from bento.core \ import \ PackageDescription, PackageOptions from bento.core.pkg_objects \ import \ Extension, CompiledLibrary from bento.core.package \ import \ raw_parse, raw_to_pkg_kw, build_ast_from_raw_dict, PackageDesc...
from typing import Callable, Dict, Optional, Sequence, Tuple from functools import partial import numpy as np import torch from torch import Tensor from torch.nn import functional as F # @TODO: # after full classification metrics re-implementation, make a reference to # https://github.com/scikit-learn/scikit-learn/b...
""" SFU CMPT 756 Sample application---database service. """ # Standard library modules import base64 import logging import os import sys import urllib.parse import uuid # Installed packages import boto3 from boto3.dynamodb.conditions import Key from flask import Blueprint from flask import Flask from flask import r...
# ================================================================================================== # Copyright 2011 Twitter, Inc. # -------------------------------------------------------------------------------------------------- # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use thi...