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from functools import reduce from os import listdir from os.path import join, splitext from re import M from re import search as re_search from typing import Any, Union from docopt import docopt from snakypy.helpers.ansi import FG, NONE from snakypy.helpers.logging import Log from snakypy.zshpower import __info__ fro...
"""Test all functions related to the basic accessory implementation. This includes tests for all mock object types. """ from unittest.mock import patch # pylint: disable=unused-import from pyhap.loader import get_serv_loader, get_char_loader # noqa F401 from homeassistant.components.homekit.accessories import ( ...
from wk import web import wk from wk.web import join_path from wk.web.modules.login import LoginManager from wk.web.modules.apis.aliyun import AliyunSmsService from wk.web.modules.apis.qq import get_openid, get_user_info from wk.web.modules.email import EmailSender from wk import PointDict, Pather from flask_restful im...
from collections import OrderedDict import torch.nn as nn import torch __all__ = ['resnet50'] class Bottleneck(nn.Module): """ Base class for Bottlenecks. 'forward()' method has been implemented. """ expansion = 4 def __init__(self, inplanes, planes, groups, reduction, stride=1, downsample...
"""Runtime API.""" import abc from typing import NamedTuple, Any, Dict, List, Tuple, Awaitable import http import json # import os import tornado.concurrent import tornado.ioloop import tornado.web import tornado.platform.asyncio import tornado.httpclient from tornado.escape import json_encode, json_decode from ...
# -*- coding: utf-8 -*- import click import logging from pathlib import WindowsPath from pathlib import Path from dotenv import find_dotenv, load_dotenv from kaggle.api.kaggle_api_extended import KaggleApi from zipfile import ZipFile from typing import Tuple, List import pandas as pd from joblib import load @click.co...
# Unit 6: Fun with Words """ A portmanteau word is a blend of two or more words, like 'mathelete', which comes from 'math' and 'athelete'. You will write a function to find the 'best' portmanteau word from a list of dictionary words. Because 'portmanteau' is so easy to misspell, we will call our function 'natalie' in...
''' Created on Feb 15, 2015 @author: <NAME> <<EMAIL>> ''' from __future__ import division import select import subprocess as sp import os import threading import six class WorkerThread(object): """ class that launches a worker thread as a daemon that applies a given function """ def __init__(sel...
import math import numpy as np from scipy import stats def _memoize(f): # custom memoization decorator for _makeA, which works around the # fact that a numpy array is not inherently hashable class memodict(dict): def __init__(self, f): self.f = f def __call__(self, sig): ...
# tasks.py -- task to remove old and uploaded packages from Debexpo # # This file is part of debexpo - # https://salsa.debian.org/mentors.debian.net-team/debexpo # # Copyright © 2011 <NAME> <<EMAIL>> # Copyright © 2020 <NAME> <<EMAIL>> # # Permission is hereby granted, free of charge, to any person # obta...
#!/usr/bin/env python import Tkinter, Pmw import math, whrandom, Numeric, copy, time from scitools.CanvasCoords import CanvasCoords C = CanvasCoords() # transformation object # default values C.set_coordinate_system(400,800,200,200) from vtk import * import vtkTkRenderWidget from model1 import * class Plane...
'''After escaping the pirate's cave without drowning, you stumble upon a field where it's rumored a lot of gold can be found. You even have a map that shows where all of the biggest hauls are located! Unfortunately, the sun is going down, so you don't have a ton of time to search. You decide to take one quick pass thr...
# Copyright (c) 2020 UAVCAN Consortium # This software is distributed under the terms of the MIT License. # Author: <NAME> <<EMAIL>> import typing import asyncio import logging import pathlib import pytest import pyuavcan from pyuavcan.transport.can import CANTransport from pyuavcan.presentation import Presentation fr...
# -*- coding: UTF-8 -* ''' Created on 2018-06-15 @author: trb ''' from pymongo import ASCENDING, DESCENDING import six class Manager(object): def __init__(self, db=None, model=None): self.db = db self.model = model def find(self, *args, **kwargs): query = QuerySet(self) if a...
import os import builtins from io import BytesIO from pathlib import Path from json import load from warnings import warn from unittest import mock import pytest from PIL import Image, ImageCms, UnidentifiedImageError from pillow_heif import ( register_heif_opener, options, HeifBrand, ) register_heif_ope...
from brainiak.eventseg.event import EventSegment from scipy.special import comb import numpy as np import pytest from sklearn.exceptions import NotFittedError def test_create_event_segmentation(): es = EventSegment(5) assert es, "Invalid EventSegment instance" def test_fit_shapes(): K = 5 V = 3 ...
"""wrap.py - wrapper classes for mongoengine Documents.""" from .doc import Doc from .game_factory import GolfGameFactory class DCourse(Doc): def setStats(self): """Par totals.""" self.out_tot = sum([hole.par for hole in self.holes[:9]]) self.in_tot = sum([hole.par for hole in self.holes[9:]]) self....
import argparse from collections import defaultdict import pathlib import re from defusedxml import ElementTree xml = """<?xml version="1.0"?> <package> <name>ros_tutorials</name> <version>0.10.2</version> <description> ros_tutorials contains packages that demonstrate various features of ROS, as well a...
# math AAT (Alternative Assessment Tool) # python math project - chapter 2 - numerical methods # Newton's Backward Interpolation Formula # 18th October, 2015 import time diff_file = open('NewtonBIF.txt', 'w') diff_file.close() def factorialfunc(n): ''' Returns the factorial of a positive integer. ''' ...
# <NAME> - I.D 316113422, <NAME> - I.D 206197816 import numpy as np import ast import torch import os from my_detectron2 import * # def run1(myAnnFileName, buses): # # annFileNameGT = os.path.join(os.getcwd(),'annotationsTrain.txt') # writtenAnnsLines = {} # annFileEstimations = open(myAnnFileName, 'w+') #...
# Copyright (c) 2019 <NAME> UCSB # Licensed under BSD 2-Clause [see LICENSE for details] # Written by <NAME> #This file contains functions used with ABRS import numpy as np import scipy from scipy import ndimage from scipy import misc import time import matplotlib.pyplot as plt import os from ABRS_modules import eth...
import fitbit import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import numpy as np from ast import literal_eval # 更新時間管理など import datetime import time # Ctrl+Cで終了時の処理のため import signal import sys # モジュール変数の定義 import config # OSC関係のため import argparse from pythonosc import osc_message_builder ...
""" Unit and regression test for the mapsci package. """ # Import package, test suite, and other packages as needed import mapsci import pytest import sys import os import logging import random logger = logging.getLogger(__name__) temperature = 273 # [K] bead_library = { "CO2": {'epsilon': 353.55, 'sigma': 3.741...
import json import torch import shutil import os import logging import numpy as np import matplotlib.pyplot as plt from datetime import datetime as dt # %% class Report(): def __init__(self, filename='report', file_format='md') -> None: self.file = filename self.format = file_format self.f...
from flask import Flask, jsonify, request, send_from_directory import requests from threading import Thread import os import shutil app = Flask(__name__) app.config['UPLOAD_FOLDER']='usersContent' def verifyJson(dadosNext): tempHTML = '' if (len(list(dadosNext)) > 0): for dado in dadosNext: ...
from django.shortcuts import render,redirect,get_object_or_404 from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseForbidden, Http404, HttpResponseNotFound,QueryDict from .models import Order,Comments,Transaction from bike.models import Bike,Photo from participator.models import Participator from ...
from __future__ import print_function import sys import xlrd exporter_path = '/usr/src/app/' sys.path.append( exporter_path ) from exporter import objects from tweaker import DatabaseTweaker debugging = True logger = None def main( fileposition, config, log ) : global logger logger = log data, object_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/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # d...
import unittest class DictNested(dict): """ Naive dictionary extension to work with deeply nested keys. Class provides methods to get values and dictionaries from deeply nested dictionary and set/reset/delete values in nested dictionary. """ def check_input(self, path): if isinstance(s...
import gensim.downloader import numpy as np from gensim.corpora import Dictionary from gensim.models import TfidfModel from argparse import ArgumentParser from logging import Logger from pathlib import Path from typing import List from speechless.edit_context.common import TimelineChange from speechless.processing.an...
# experiments run for FPDGD import itertools import numpy as np from multiprocessing import Pool from tqdm import tqdm from data.LetorDataset import LetorDataset from clickModel.click_simulate import CcmClickModel from client.federated_optimize import train_uniform from ranker.PDGDLinearRanker import PDGDLinearRanker...
import torch from torch import nn from torch.autograd import Variable from torch.nn import functional as F import torch.utils.data from torchvision.models.inception import inception_v3 import numpy as np from scipy.stats import entropy # DCGAN class generator(nn.Module): def __init__(self): super(generat...
#!/usr/bin/env python ########################################################################## # Copyright 2019 Kata.ai # # 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.ap...
#!/usr/bin/env python # -*- coding: utf-8 -*- # File: GAN.py # Author: <NAME> <<EMAIL>> import tensorflow as tf import numpy as np import time from tensorpack import (FeedfreeTrainerBase, QueueInput, ModelDesc, DataFlow, StagingInputWrapper, MultiGPUTrainerBase, LeastLoa...
import csv import datetime import io import logging import re import tablib from dateutil.parser import parse as dateparse from import_export.fields import Field from import_export.resources import ModelResource from import_export.instance_loaders import CachedInstanceLoader from import_export.results import Error, Re...
#!/usr/bin/env python # coding=utf-8 # aeneas is a Python/C library and a set of tools # to automagically synchronize audio and text (aka forced alignment) # # Copyright (C) 2012-2013, <NAME> (www.albertopettarin.it) # Copyright (C) 2013-2015, ReadBeyond Srl (www.readbeyond.it) # Copyright (C) 2015-2017, <NAME> (www...
__author__="<NAME>, <NAME>" __copyright__="January 31, 2016" __version__= 2 import queue import threading import socket from utility import * from constants import * # from lidar_servo_driver import turnTo ############################## # PROGRAM MAIN ENTRY POINT # ############################## def main(): lt...
import os, os.path import csv import math import numpy import gzip from isodist.Isochrone import Isochrone, FEH2Z, Z2FEH, dict2recarray from isodist.PadovaIsochrone import _DATADIR _ANZSOLAR= 0.0176 _ZS= [-0.1,-0.2,-0.3,-0.5,-1.,-1.5,-2.,-3.,0.,0.1,0.2,0.4] class AnIsochrone (Isochrone): """Class that represents a ...
# -*- coding: utf-8 -*- # from contextlib import contextmanager from datetime import datetime, timedelta import requests from kivy.properties import ObjectProperty from kivy.uix.boxlayout import BoxLayout from kivy.uix.screenmanager import Screen from kivy.weakproxy import WeakProxy from kivymd.uix.bottomsheet import...
import logging from dataclasses import dataclass import csv @dataclass class Analogy: q_1_type: str q_1_id: str q_2_type: str q_2_id: str p_type: str p_id: str q_1_source: str q_1_source_id: str q_1_source_context: str q_1_target: str q_1_target_id: str q_1_target_conte...
import sys import time import re import os import configparser from datetime import datetime, date from influxdb import InfluxDBClient from pyunifi import controller # Logging Related import logging logging.basicConfig(format='%(asctime)s %(levelname)-8s %(message)s', stream=sys.stderr, level=logg...
from contextlib import contextmanager from copy import deepcopy import math from .util import Geometry class Leaf: def __init__(self, level, data): self.value = data self.level = level if self.level < 0: raise ValueError(self.level) def clone(self, level): return...
""" Code to visualize Gaussian processes. """ import numpy as np import matplotlib.pyplot as plt def visualize_gp(gp, domain, data=None, n_grid=500, n_gen=20000, n_samp_plot=10, std_mult=3, show_sp=True, ylim=[-4, 4], save_str=None, exact_post=True): """ Visualize gp posteri...
import os import frappe from PIL import Image from frappe.utils import cint def is_image_path(path): if not path: return exts = ["jpg", "jpeg", "png"] path = path.lower() for e in exts: if e in path: return True return False def get_extension(filename): s = filename.rsplit('.', 1) retur...
from typing import Callable, Optional import pp from pp.add_tapers import add_tapers from pp.component import Component from pp.components.grating_coupler.elliptical_trenches import ( grating_coupler_te, grating_coupler_tm, ) from pp.components.taper import taper from pp.container import container from pp.rout...
from CHECLabPy.core.io import TIOReader import numpy as np from numba import njit, prange, float32, float64, guvectorize from scipy.ndimage import correlate1d from scipy import interpolate path = "/Users/Jason/Software/CHECLabPy/refdata/Run17473_r1.tio" r = TIOReader(path) ref_path = r.reference_pulse_path wf = r[0] ...
# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may n...
import gym import time from balboa.a_star import AStar import numpy as np from balboa.BalboaRPiSlaveDemo.lsm6 import LSM6 """ Instructions Gyro calibration The /balboa/__init__.py should be customized with the gyro calibration coefficients To obtain them, run the calibrate_gyro script: python3 -m balboa.characterizati...
from locale import DAY_2 import streamlit as st import numpy as np import pandas as pd import sqlalchemy as sa import classes import config from sqlalchemy import orm import pydeck as pdk @st.experimental_singleton def getSqlEngine(): return sa.create_engine(config.SQL_ADDRESS, echo=False, future=True) @st.expe...
from django.contrib import admin from django.contrib.admin.templatetags.admin_urls import add_preserved_filters from django.conf.urls import url from django.urls import reverse from django.http import HttpResponseRedirect from django.conf import settings from django.utils import timezone from django.utils.translation i...
import math from math import pi import numpy as np from gym.spaces import Box, Discrete from ray.rllib.utils import merge_dicts from ray.rllib.env.multi_agent_env import MultiAgentEnv def direction_to_coord(direction): """takes x \in [0,1), returns 2d coords on unit circle""" return tuple([math.cos(2*pi*direc...
"""Handle multiple samples present on a single flowcell Merges samples located in multiple lanes on a flowcell. Unique sample names identify items to combine within a group. """ import os import shutil import subprocess from bcbio import bam, utils from bcbio.distributed.transaction import file_transaction, tx_tmpdir...
import math import sys import typing import numpy as np from analysis import plot_common from analysis import video_analysis from analysis import video_data from analysis import video_utils def gnuplot_acceleration(stream: typing.TextIO=sys.stdout) -> typing.List[str]: timebase = video_analysis.ground_speed_tim...
# -*- coding: utf-8 -*- import os import glob # define sone struct ROOT_PATH = 'I:/Documents/Database/' # root path FOLDER_NAME_FORMAT = '%04d/' RAW_DATA_FOLDER = 'frames_cleanpass/TRAIN/%s/' LABLE_FOLDER = 'disparity/TRAIN/%s/' LEFT_FOLDER = 'left/' RIGHT_FOLDER = 'right/' FILE_NAME = '%s%04d' RAW_DATA_TYPE = '.png...
from keras.layers.core import Activation, Dropout from keras.layers.convolutional import Conv2D from keras.layers.merge import Concatenate from keras.layers.normalization import BatchNormalization from keras.regularizers import l2 from keras.models import Model from ..encoder import build_encoder, scope_table from ..u...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # protocon/conversion.py # # 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 lis...
# Copyright 2018/2019 The RLgraph 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...
from __future__ import print_function import sys import argparse import os from collections import namedtuple from statsmodels.stats.proportion import proportion_confint # Appending current working directory to sys.path # So that user can run randomtester from the directory where sut.py is located current_working_dir...
import logging import openpyxl from ExcelRobot.reader import ExcelReader from ExcelRobot.utils import (BoolFormat, DataType, DateFormat, NumberFormat, copy_file, del_file, excel_name2coord, get_file_path, is_file, random_temp_file) from six import PY2 from xl...
""" .. ma.py Moving averages. """ ## Inheritance import base ## Math import math inf = float('inf') class EMA(base.Mover): """ A fast exponential moving average with typical period of size *n*. This is practically O(m) where m is the data size, regardless of the size of *n*. If *mstd*, moving standard ...
import mongoengine import datetime from Alert import Alert from Connection import Connection from Mails import Mail from Status import Status from Subject import Subject from Event import Event import sys class Data: INIT = False mongoip = "NotYetDeclared" def global_init(): if not Data.INIT: if D...
import re from collections import defaultdict from typing import Any, List, Tuple from daily_solutions.base import BaseDailySolution """ You come across a field of hydrothermal vents on the ocean floor! These vents constantly produce large, opaque clouds, so it would be best to avoid them if possible. They tend to f...
# coding=utf-8 from __future__ import division, absolute_import, print_function from base64 import b64encode from fractions import gcd from random import randrange from collections import namedtuple from math import log from binascii import hexlify, unhexlify import sys PY3 = sys.version_info[0] == 3 if PY3: bina...
from datetime import datetime from bson import ObjectId from lib.mongo import ( negotiation_collection, details_collection, bids_collection, members_collection, ) NEGOTIATION_ASCENDING = "ascending" NEGOTIATION_DESCENDING = "descending" def get_negotiation(negotiation_id): negotiation_id = Obje...
""" Copyright (C) 2012-2013 <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, publish, distribute, su...
import os import glob import time import random from PIL import Image import numpy as np import trimesh from src.data.core import Field from pdb import set_trace as st from src.data.add_sensor import * class IndexField(Field): ''' Basic index field.''' def load(self, model_path, idx, category): ''' Lo...
import asyncio import discord from discord.ext import commands from clam.utils import db, emojis from clam.utils.errors import PrivateCog class ArchivedChannels(db.Table, table_name="archived_channels"): id = db.PrimaryKeyColumn() channel_id = db.Column(db.Integer(big=True)) category_id = db.Column(db....
# Aces, Twos, Threes, Fours, fives and Sixes def get_number_of_eyes_for_number(roll, number): return get_number_of_hits_for_number(roll, number) * number def get_number_of_hits_for_number(roll, number): return [roll[key] for key in roll].count(number) def get_aces(roll): """ This function returns ...
# Copyright 2018- Onai (Onu Technology, Inc., San Jose, California) # # 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, co...
import argparse import time import config from data_operations.dataset_feed import create_dataset from data_operations.data_preprocessing import import_cbisddsm_training_dataset, import_minimias_dataset, \ dataset_stratified_split, generate_image_transforms, import_cbisddsm_testing_dataset from data_visualisation....
from __future__ import absolute_import from __future__ import division from __future__ import print_function from PIL import Image import random import math import torch from torchvision.transforms import * class Random2DTranslation(object): """ With a probability, first increase image size to (...
r""" Produces a plot of the densities of infall, star formation, and gas as a function of simulation time for all models. """ from .. import env from .utils import (named_colors, mpl_loc, yticklabel_formatter, dummy_background_axes) from ..._globals import ZONE_WIDTH import matplotlib.pyplot as plt import math as m i...
# -*- coding: utf-8 -*- import numpy as np from scipy import linalg from scipy.special import logsumexp from emgpb2.states import Gaussian, GMM from emgpb2.utils import Utility class KalmanFilter: """ """ @staticmethod def filter(state, measurement, model, initial=False, shape=None): # Transitio...
import sys from typing import * import requests import json from urllib.parse import urlparse from gravsdk import gravcrud class GravError(Exception): """ # Exception Class: `GravError` Exception raised for general SDK errors |Attribute|Description| |-|-| |`responsetext`|Descriptive text of the...
import asyncio from collections import defaultdict from datetime import date from datetime import datetime import json import itertools as itt import pandas as pd from pathlib import Path import re class UserInteractionCollector: def __init__(self, client): self.client = client self.reset_users() ...
""" Process launcher for run an ad-hoc job """ import yaml import json import datetime import tempfile import time import sys import os from msbase.utils import getenv, datetime_str from msbase.logging import logger from common import get_jobs_config from model import DB from resource import Resource from notif impor...
import json from types import MethodType from typing import Sequence, List, Dict, Any from pytest import fixture, raises from tenark.common import ( QueryParser, TenantRetrievalError) from tenark.models import Tenant from tenark.cataloguer import SchemaCataloguer @fixture def connection(): class MockConnectio...
import json from avatar.templatetags.avatar_tags import avatar_url from django.contrib.auth import get_user_model from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin from django.db import transaction, DatabaseError from django.http import HttpResponseForbidden, JsonResponse, HttpResponseBadR...
import numpy as np from networkx.algorithms.centrality import current_flow_betweenness_centrality from networkx.algorithms.centrality import degree_centrality, betweenness_centrality, eigenvector_centrality from numba import njit from numba import types from numba.typed import Dict from scipy.ndimage import distance_tr...
# Importando as bibliotecas relevantes import matplotlib.pyplot as plt import pandas as pd import seaborn as sns import datetime as dt # Passos iniciais df = pd.read_csv('CRDS_Jaragua_G2301_hour_LT.txt') # dataframe de trabalho df = df.set_index('DATE_TIME') # definição da coluna 'DATE-TIME' como index df.index = pd....
from . import Plot from data import DAILY, TimeSeries from keras.callbacks import ModelCheckpoint, EarlyStopping from keras.layers import Conv1D, Dropout, LeakyReLU, LSTM from keras.models import Sequential, load_model import numpy import os import random os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" # disable the verbose...
"""Calulate zonal statistics and return a json or a geojson.""" import logging from collections import defaultdict from datetime import datetime from json import dump, load from urllib.parse import urlencode from app.caching import cache_file, get_json_file from app.timer import timed import rasterio from rasterstat...
# network create wireguard interface from .ip_wrapper import ip_wrapper, Ip_Wrapper_Command_Error from .network_create_namespace import netns_setdns import wgconfig from pprint import pprint def wireguard_config_load(interface_name): """Load config from file.""" wc = wgconfig.WGConfig(interface_name) try...
""" .. module stratumgs.game.runner Classes and helpers in this module create and manage engine runners, which manage the game engines which run as background processes. """ import json import multiprocessing import os import tornado.ioloop import tornado.iostream import stratumgs.client.proxy import stratumgs.gam...
import os, sys import time import argparse import configparser import numpy as np import warnings warnings.filterwarnings("ignore", category=RuntimeWarning) from keras.models import load_model sys.path.append('../src/') from python import helper as hp from python import fixed_parameters as FP from python import da...
from firebase_admin import credentials from firebase_admin import firestore from bs4 import BeautifulSoup from utilities import sms import firebase_admin import requests import sys import re import os # Initializing Firebase Database called covid19 cred = credentials.Certificate(os.path.join(sys.path[0], 'fbapp.json')...
from lxml import html from json import dump,loads from requests import get import json from re import sub from dateutil import parser as dateparser from time import sleep def ParseReviews(asin): amazon_url = 'http://www.amazon.in/dp/'+asin headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/5...
from nltk.tree import Tree def left_branching(tree): t = Tree('NAN', [tree.leaves()[0]]) for i, l in enumerate(tree.leaves()[1:]): t = Tree('NAN', [t, Tree('NAN', [l])]) return t def right_branching(tree): t = Tree('NAN', [tree.leaves()[-1]]) for i, l in enumerate(reversed(tree.leaves()[:-...
import numpy as np import os.path from . import download _folder_path = os.path.abspath("./TE_process/") """Setup names of data sets""" _training_sets = [] _test_sets = [] for i in range(22): _training_sets.append("d" + str(i).zfill(2) + ".dat") _test_sets.append("d" + str(i).zfill(2) + "_te.dat") def data_...
from util.decorators import * def test_background(): # Make a "result" object that gets a specific result from the # parent function. Make that object callable and give it good help # documentation. # Define a function that can take a little while. @background def sleep(time): from tim...
import boto3 from botocore.exceptions import ClientError import logging import os import time logger = logging.getLogger(__name__) logger.setLevel(os.getenv('LOG_LEVEL', 'INFO')) # Collect environment variables APPLICATION_NAME = os.getenv('APPLICATION_NAME') ARTIFACT_BUCKET_ARN = os.getenv('ARTIFACT_BUCKET_ARN') ART...
import torch import torch.nn as nn from einops import rearrange, repeat from ...common.base_model import BaseClassificationModel from ...decoder.mlp import MLPDecoder from ...encoder.embedding import LinearVideoEmbedding, PosEmbedding, TubeletEmbedding from ...encoder.vanilla import VanillaEncoder from ...encoder.vivi...
#!/usr/bin/python3 from tornado.web import url,RequestHandler from tornado.web import Application, RequestHandler from tornado.ioloop import IOLoop from tornado.httpserver import HTTPServer import tornado.autoreload from tornado.concurrent import run_on_executor from concurrent.futures import ThreadPoolExecutor import ...
#!/usr/bin/python # Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agre...
# The Expat 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...
# -*- coding: utf-8 -*- # @Time : 2019/8/23 11:49 # @Author : chensi # @File : main_attack_baseline.py # @Software : PyCharm # @Desciption : None import sys, argparse sys.path.append("../") from utils.load_data.load_data import * from utils.load_data.load_attack_info import * from model.attack_model...
#coding=utf-8 ''' order /docs/* ''' import os import re from functools import singledispatch current_chap='chap5' path_of_this_to_cata_dir='docs/' def get_fnames(pattern:'re r-string')->'filenames_list': ''' get filenames list cwd : in files dir ''' allfiles_lst = list(os.popen('ls -1 '...
# coding: utf-8 import numpy as np import matplotlib.pyplot as plt from numpy import fft import cv2 from temp_004 import psf2otf def motion_blur(gray, degree=7, angle=60): gray = np.array(gray) M = cv2.getRotationMatrix2D((round(degree / 2), round(degree / 2)), angle, 1) motion_blur_kernel = np.diag(np.on...
import time import glob import struct import curses import binascii from multiprocessing import Process, Manager from .utils import * DWELL_TIME = 60 T = Manager().dict() def parse_frame(data: Frame.data, signals: dict) -> dict: message = {} b = "".join("{0:08b}".format(i) for i in data) for name, sign...
import os import sys import time import numpy as np import configparser import json et = 1e-8 def load_json(path): with open(path,'r') as load_f: load_dict = json.load(load_f) return load_dict def save_json(path, data): with open(path,'w') as f: json.dump(data,f) def print_dict(x): for key in x: print(k...