text stringlengths 3.07k 12.6k |
|---|
"""
Translate an element, which is described by the YAML method file
and a descriptor file, into a target function.
Procedure:
1. When analyzing a YAML file, parse the call to the method-element, to get:
- list of inputs,
- list of outputs
2. Parse the YAML of that element, to know the name of the inputs and outputs... |
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import time
import cv2
from real.camera import Camera
from robot import Robot
from subprocess import Popen, PIPE
def get_camera_to_robot_transformation(camera):
color_img, depth_img = camera.get_data()
cv2.imwrite("real/temp.jpg", color... |
# Header starts here.
from sympy.physics.units import *
from sympy import *
# Rounding:
import decimal
from decimal import Decimal as DX
from copy import deepcopy
def iso_round(obj, pv, rounding=decimal.ROUND_HALF_EVEN):
import sympy
"""
Rounding acc. to DIN EN ISO 80000-1:2013-08
place value = Rundest... |
import importlib.metadata
import logging
import os
import shutil
from typing import Dict, Any, List
import click
from sqlalchemy import text
from dbd.log.dbd_exception import DbdException
from dbd.config.dbd_profile import DbdProfile
from dbd.config.dbd_project import DbdProject
from dbd.executors.model_executor impo... |
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Conv2D, Flatten, Dense, Dropout
import tensorflow.keras as keras
import os
import cv2
import numpy as np
from sklearn.model_selection import train_test_split
def data_prep(path, img_rows, img_cols, color):
"""
A function to preprocess ... |
from collections import namedtuple
from dagster import check
from dagster.config.config_type import ConfigType, ConfigTypeKind
from dagster.config.field import Field
from dagster.core.serdes import whitelist_for_serdes
@whitelist_for_serdes
class NonGenericTypeRefMeta(namedtuple('_NonGenericTypeRefMeta', 'key')):
... |
import torch
import torch.nn.functional as F
import os.path as osp
import json
from torch_geometric.utils import precision, recall
from torch_geometric.utils import f1_score, accuracy
from torch.utils.tensorboard import SummaryWriter
def train_epoch_classifier(model, train_loader, len_train, optimizer, device):
m... |
"""
NODE model definition and experiment setup.
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
https://arxiv.org/abs/1909.06312
Model details:
https://pytorch-tabular.readthedocs.io/en/latest/models/#nodemodel
"""
import logging
import os.path
import shutil
from sklearn.metrics import classif... |
import re
import argparse
import os
import sys
import logging
import traceback
import pysatl
class EtsiTs101955(object):
COMMENT_MARKER = "REM"
COMMAND_MARKER = "CMD"
RESET_MARKER = "RST"
INIT_MARKER = "INI"
OFF_MARKER = "OFF"
def __init__(self, cmdHandler):
self._cmdHandler = cmdHandl... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import functools
import torch.nn as nn
from torch.nn import init
import torch.functional as F
from torch.autograd import Variable
print('ok')
def weights_init_normal(m):
classname = m.__class__.... |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
# Copyright 2014 The Chromium 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 mojo_lexer
import unittest
# Try to load the ply module, if not, then assume it is in the third_party
# directory.
try:
# Disable lint check which ... |
"""
This is the script containing the calibration module, basically calculating homography matrix.
This code and data is released under the Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC.) In a nutshell:
# The license is only for non-commercial use (commercial licenses can be obtain... |
from tkinter import *
from tax_profiler import TaxProfile
from tkinter import messagebox as mb
class Example(Frame, TaxProfile):
def __init__(self, parent):
TaxProfile.__init__(self)
Frame.__init__(self, parent, background="lightblue")
parent.minsize(width=500, height=200)
parent.m... |
from __future__ import print_function
import numpy as np
import pandas as pd
from sklearn import metrics
class Options(object):
"""Options used by the model."""
def __init__(self):
# Model options.
# Embedding dimension.
self.embedding_size = 32
# The initial learning rate.
... |
# 2022 eCTF
# Bootloader Interface Emulator
# <NAME>
#
# (c) 2022 The MITRE Corporation
#
# This source file is part of an example system for MITRE's 2022 Embedded System
# CTF (eCTF). This code is being provided only for educational purposes for the
# 2022 MITRE eCTF competition, and may not meet MITRE standards for q... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import os
import sys
import shutil
import onnx
import onnxruntime
import json
from google.protobuf.json_format import MessageToJson
import predict_pb2
import onnx_ml_pb2
# Current models only have one input and one output... |
import json
from datetime import datetime
import time
from functools import reduce
import boto3
from celery import shared_task
from celery.bin.control import inspect
from django.conf import settings
from comic.container_exec.backends.k8s import K8sJob
from comic.eyra.models import Job, Submission, DataFile, JobInput
... |
from . import scrip as t
class misc():
'''
The class misc has miscellaneous methods
of termuxa-pi available.
Available methods are :
battery,
brightness,
vibrate,
contactlist,
torch,
downloadFile
'''
def __init__(self):
pass
def battery(self):
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# .---. .-----------
# / \ __ / ------
# / / \( )/ ----- (`-') _ _(`-') <-. (`-')_
# ////// '\/ ` --- ( OO).-/( (OO ).-> .-> \( OO) ) .->
# //// / // : : --- (,------.... |
from __future__ import print_function
import numpy as np
import argparse
import glob
import os
import errno
import math
import cv2
from random import shuffle
from shutil import copyfile
parser = argparse.ArgumentParser(
description="create training/test/validation sets from video list"
)
parser.add_argument("--vi... |
# Built-in
import os
from glob import glob
# Libs
import numpy as np
from tqdm import tqdm
from natsort import natsorted
# Own modules
from data import data_utils
from mrs_utils import misc_utils, process_block
# Settings
DS_NAME = 'spca'
def get_images(data_dir, valid_percent=0.5, split=False):
rgb_files = na... |
"""Solution of the exercises of Optimization of compute bound Python code"""
import math
import cmath
import numpy as np
import numexpr as ne
import numba as nb
# Needed here since it is used as global variables
# Maximum strain at surface
e0 = 0.01
# Width of the strain profile below the surface
w = 5.0
# Python: C... |
from typing import Optional
import napari
import napari.layers
import numpy as np
from napari.utils.geometry import project_point_onto_plane
def point_in_bounding_box(point: np.ndarray, bounding_box: np.ndarray) -> bool:
"""Determine whether an nD point is inside an nD bounding box.
Parameters
---------... |
import ipywidgets as widgets
from traitlets import Unicode, Int, validate
import os
import json
from datetime import datetime,timedelta
from IPython.display import Javascript
from IPython.display import HTML
from cognipy.ontology import Ontology
from IPython.display import clear_output
_JS_initialized = False
def _In... |
# -*- coding: utf-8 -*-
import sys
import numpy as np
import torch
from torch.autograd import Variable
from pytorch2keras.converter import pytorch_to_keras
import torchvision
import os.path as osp
import os
os.environ['KERAS_BACKEND'] = 'tensorflow'
from keras import backend as K
K.clear_session()
K.set_image_dim_or... |
# -*- coding: utf-8 -*-
""".. moduleauthor:: <NAME>"""
import abc
from copy import copy
from dataclasses import dataclass
from multiprocessing.managers import SharedMemoryManager
from multiprocessing.shared_memory import SharedMemory
from typing import Tuple, List, Optional, final, TypeVar, Generic
from torch.utils.da... |
import unittest
from kleat.hexamer.search import plus_search, minus_search, search
from kleat.hexamer.hexamer import extract_seq
class TestSearchHexamer(unittest.TestCase):
def test_plus_search(self):
self.assertEqual(plus_search('GGGAATAAAG', 9), ('AATAAA', 16, 3))
self.assertEqual(plus_search('... |
# Lint as: python3
# Copyright 2020 Google LLC. 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 ... |
from typing import Dict
from numba import njit
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['image.cmap'] = 'binary'
def read_parameters(filename: str) -> Dict[str, float]:
"""Read parameters from a file to a dictionary and return it."""
parameters = {}
with open(filename, "r") as file:... |
from typing import List, Tuple
import numpy as np
import pymeshfix
import trimesh.voxel.creation
from skimage.measure import marching_cubes
from trimesh import Trimesh
from trimesh.smoothing import filter_taubin
from ..types import BinaryImage, LabelImage
def _round_to_pitch(coordinate: np.ndarray, pitch: float) ->... |
from random import randint
from typing import Callable, List, Optional
class Coin:
"""Simulates a coin."""
def __init__(self) -> None:
self.__head = False
self.__toss_count = 0
self.__head_count = 0
def toss(self) -> None:
"""Toss a coin."""
r = randint(1, 2)
... |
## @file
# This file is used to define the FMMT dependent external tool management class.
#
# Copyright (c) 2021-, Intel Corporation. All rights reserved.<BR>
# SPDX-License-Identifier: BSD-2-Clause-Patent
##
import glob
import logging
import os
import shutil
import sys
import tempfile
import uuid
from edk2basetools.FM... |
import logging
from http import cookiejar as http_cookiejar
from http.cookiejar import http2time # type: ignore
from typing import Any # noqa
from typing import Dict # noqa
from urllib.parse import parse_qs
from urllib.parse import urlsplit
from urllib.parse import urlunsplit
from oic.exception import UnSupported
f... |
import decimal
import hashlib
import json
import requests
import tempfile
import uuid
import os
from tqdm import tqdm
from requests_toolbelt import MultipartEncoder, MultipartEncoderMonitor
def sha256_for_file(f, buf_size=65536):
pos = f.tell()
dgst = hashlib.sha256()
while True:
data = f.read(bu... |
import os
from argparse import ArgumentParser
from pathlib import Path
from general_utils import split_hparams_string, split_int_set_str
# from tacotron.app.eval_checkpoints import eval_checkpoints
from tacotron.app import (DEFAULT_MAX_DECODER_STEPS, continue_train, infer,
plot_embeddings, t... |
# coding=<utf-8>
import requests
import re
import socket
import base64
import psutil
import pywifi
from pywifi import const
import subprocess
import os
import time
def get_host_ip():
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(('8.8.8.8', 80))
ip = s.getsockname()[0... |
"""
2018 (c) piteren
some little methods (but frequently used) for Python
"""
from collections import OrderedDict
import csv
import inspect
import json
import os
import pickle
import random
import shutil
import string
import time
from typing import List, Callable, Any, Optional
# prepares function parameters... |
# Copyright 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, publish, distribute... |
from graph_peak_caller.multiplegraphscallpeaks import MultipleGraphsCallpeaks
from graph_peak_caller.intervals import Intervals
from graph_peak_caller import Configuration
from graph_peak_caller.reporter import Reporter
from offsetbasedgraph import GraphWithReversals as Graph, \
DirectedInterval, IntervalCollection... |
import json
import time
import datetime
import string
import calendar
from helpers import get_cpu_temp, check_login, password_hash
import web
import gv # Gain access to ospi's settings
from urls import urls # Gain access to ospi's URL list
from webpages import ProtectedPage, WebPage
##############
## N... |
#!/usr/bin/env python3
"""Simulation of Shor's algorithm for integer factorization."""
import cmath
import math
import numpy as np
import random
class QuMem:
"""Representation of the memory of the quantum computer."""
def __init__(self, t, n):
"""Initialize the memory. For Shor's algorithm we have t... |
import os
import shutil
import tensorflow as tf
from tensorflow import keras
from logs import logDecorator as lD
import jsonref
import numpy as np
import pickle
import warnings
from tqdm import tqdm
from modules.data import getData
config = jsonref.load(open('../config/config.json'))
logBase = config['logg... |
import json
from configserver import ConfigServer, get_postgres_db
from configserver.errors import InvalidRouteUUIDError
from flask.testing import FlaskClient
import pytest
from peewee import SqliteDatabase
import logging
from uuid import uuid4
import functools
from typing import Iterable
@pytest.fixture(autouse=True... |
#!/usr/bin/python3
# coding=utf-8
# 环境准备：pip install opencv_contrib_python
# 输入话题：tianbot_mini/image_raw/compressed
# 输出话题：roi
import sys
import os
import rospy
import sensor_msgs.msg
from cv_bridge import CvBridge
import cv2
import numpy as np
from sensor_msgs.msg import RegionOfInterest as ROI
from sensor_msgs.msg ... |
def _doxygen_archive_impl(ctx):
"""Generate a .tar.gz archive containing documentation using Doxygen.
Args:
name: label for the generated rule. The archive will be "%{name}.tar.gz".
doxyfile: configuration file for Doxygen, @@OUTPUT_DIRECTORY@@ will be replaced with the actual output dir
... |
# Fichier main de gestion des ressources du robot
from micropython import const
from machine import *
from DRV8833 import *
from BME280 import *
import pycom
import time
import os
# Variables globales pour moteurs et pont en H
DRV8833_Sleep_pin = "P20" # Pin SLEEP
DRV8833_AIN1 = "P22" # Entrée PWM moteu... |
import random
from collections import deque
import networkx as nx
from lib import puzzle
def draw_grid(grid):
min_y, max_y = 0, 0
min_x, max_x = 0, 0
for y, x in grid:
if y < min_y:
min_y = y
if y > max_y:
max_y = y
if x < min_x:
min_x = x
... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import logging
from dataclasses import dataclass
from pants.backend.codegen.thrift.apache.subsystem import ApacheThriftSubsystem
from pants.backend.code... |
###############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) Crossbar.io Technologies GmbH
#
# 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 ... |
# -*- coding:utf-8 -*-
import random
import time
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from app.api.util.web_request import WebRequest, USER_AGENT_PC, USER_AGENT_MOBILE
class SpiderWebDriver(object):
def __init__(sel... |
import boto3
from datetime import datetime, date
import re
import string
import pandas as pd
from spellchecker import SpellChecker
import uuid
import psycopg2
from psycopg2 import sql
import sys
sys.path.append('.')
from rule_processing import postgresql
def queryTable(conn, table):
cmd = """
SELECT * FROM ... |
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import IncrementalPCA as _IncrementalPCA
from ..count_matrix.zarr import dataset_to_array
def _normalize_per_cell(matrix, cell_sum):
print('normalize per cell to CPM')
if cell_sum is None:
... |
import os
from argparse import ArgumentParser
from glob import glob
import cv2
import numpy as np
import torch
import torchvision
import matplotlib as mpl
import matplotlib.pyplot as plt
from PIL import Image
from fiery.trainer import TrainingModule
from fiery.utils.network import NormalizeInverse
from fiery.utils.in... |
import asyncio
import discord
from discord.ext import commands, tasks
import os
import random
import dotenv
import difflib
import configparser
###
version = '4.0.0'
###
bot = commands.Bot(command_prefix = '!', owner_id = 272446903940153345, intents = discord.Intents.all())
bot.remove_command('help')
co... |
"""
Base classes and utilities for all Xena Manager (Xena) objects.
:author: <EMAIL>
"""
import time
import re
import logging
from collections import OrderedDict
from trafficgenerator.tgn_utils import TgnError
from trafficgenerator.tgn_object import TgnObject, TgnObjectsDict
logger = logging.getLogger(__name__)
c... |
# -*- coding: utf-8 -*-
import click
import logging
from pathlib import Path
import pandas as pd
import re
import string
from nltk.corpus import stopwords
def brand_preprocess(row, trim_len=2):
""" This function creates a brand name column by parsing out the product column of data. It trims the words based on tri... |
# coding=utf-8
# Author: <NAME> <<EMAIL>>
import numpy as np
import re
class KeelAttribute:
"""
A class that represent an attribute of keel dataset format.
"""
TYPE_REAL, TYPE_INTEGER, TYPE_NOMINAL = ("real", "integer", "nominal")
def __init__(self, attribute_name, attribute_type, attribute_rang... |
import sys
import os
import json
import csv
from time import strftime
from datetime import timedelta, date, datetime
from flask import Blueprint, render_template, redirect, request, url_for, flash
import server.configuration as cfg
from server.postalservice import checkTemp
from server.helpers import LoginRequired, p... |
# $Filename$
# $Authors$
# Last Changed: $Date$ $Committer$ $Revision-Id$
#
# Copyright (c) 2003-2011, German Aerospace Center (DLR)
#
# All rights reserved.
#Redistribution and use in source and binary forms, with or without
#modification, are permitted provided that the following conditions are
#
#met:
#
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import xml.etree.ElementTree as ET
tree = ET.parse(sys.argv[1])
old_doc = tree.getroot()
tree = ET.parse(sys.argv[2])
new_doc = tree.getroot()
f = file(sys.argv[3], "wb")
tab = 0
old_classes = {}
def write_string(_f, text, newline=True):
for t in rang... |
###
#Various nose tests. If you want to adapt this for your own use, be aware that the start/end block list has a very specific formatting.
###
import get_freebusy
import arrow
from operator import itemgetter
from pymongo import MongoClient
import secrets.admin_secrets
import secrets.client_secrets
MONGO_CLI... |
import stomasimulator.geom.geom_utils as geom
class AttributeCalculator(object):
""" Abstraction for calculations performed on XPLT state data """
def __init__(self, prefix, reference_data, dimensionality, lambda_fn=None):
self.prefix = '' if prefix is None else prefix
self.reference_data = r... |
import docker, os, platform, requests, shutil, subprocess, sys
from .infrastructure import *
# Runs a command without displaying its output and returns the exit code
def _runSilent(command):
result = SubprocessUtils.capture(command, check=False)
return result.returncode
# Performs setup for Linux hosts
def _setupLi... |
import sys
import time
from tia.trad.tools.io.follow import followMonitor
import tia.configuration as conf
from tia.trad.tools.errf import eReport
import ujson as json
import matplotlib.pyplot as plt
import math
import collections
import logging
from tia.trad.tools.ipc.processLogger import PROCESS_NAME
LOGGER_NAME = P... |
#!/usr/bin/env python3
# do not hesitate to debug
import pdb
# python computation modules and visualization
import numpy as np
import sympy as sy
import scipy as sp
import matplotlib.pyplot as plt
from sympy import Q as syQ
sy.init_printing(use_latex=True,forecolor="White")
def Lyapunov_stability_test_linear(ev):
... |
from __future__ import print_function
import time
import sys
import os
import shutil
import csv
import boto3
from awsglue.utils import getResolvedOptions
import pyspark
from pyspark.sql import SparkSession
from pyspark.ml import Pipeline
from pyspark.ml.feature import StringIndexer, VectorIndexer, OneHotEncoder, Vec... |
from dataclasses import dataclass
from datetime import datetime, timedelta
import json
import os.path
from dateutil.parser import parse
import pytz
import redis
from redis.lock import LockError
import requests
from . import settings
from .logger import logger
UNCACHED_HEADERS = (
'Age',
'Cache-Control',
... |
"""Author: Trinity Core Team
MIT License
Copyright (c) 2018 Trinity
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,... |
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pathlib import Path
import pytest
from pants.option.custom_types import (
DictValueComponent,
ListValueComponent,
UnsetBool,
dict_with_files_option,
dir_option,
... |
from turtle import Turtle, Screen
from random import choice
from time import sleep
from queue import SimpleQueue
w: int
w, h = (853, 480)
wn = Screen()
wn.screensize(w, h)
wn.bgcolor("#d3d3d3")
Room_state = {"Clean": "#FFFFFF",
"Dirty": "#b5651d"}
cleaned = 0
def filler(t, color, delay=0, vacclean = ... |
import asyncio
import pytest
import re
import uuid
from aiohttp.test_utils import teardown_test_loop
from aioredis import create_redis
from arq import ArqRedis, Worker
from atoolbox.db import prepare_database
from atoolbox.db.helpers import DummyPgPool
from atoolbox.test_utils import DummyServer, create_dummy_server
fr... |
"""
imutils/big/make_shards.py
Generate one or more webdataset-compatible tar archive shards from an image classification dataset.
Based on script: https://github.com/tmbdev-archive/webdataset-examples/blob/7f56e9a8b978254c06aa0a98572a1331968b0eb3/makeshards.py
Added on: Sunday March 6th, 2022
Example usage:
pytho... |
#!/usr/bin/python3
#### A tool for blocking all verified users on Twitter.
## You may want to create a (public or private) Twitter list named 'exceptions' and add verified users to it.
## This 'exceptions' list that you create on Twitter is for verified accounts that you like and do not want to block.
#### Import dep... |
### Data Preprocessing
## 1. Json to Transcript
## 2. Aligner
## 3. Text Replace
from jamo import h2j
import json
import os, re, tqdm
import unicodedata
from tqdm import tqdm
import hparams as hp
name = hp.dataset
first_dir = os.getcwd()
transcript = name + '_transcript.txt'
dict_name = name + '_k... |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
from abc import ABCMeta, abstractmethod, abstractproperty
from datetime import datetime, date
class Item(metaclass=ABCMeta):
def __init__(self, code, name, quantity, cost, offer):
self.item_code=code
self.item_name=name
self.quantity_on_hand=quantity
self.cost_price=cost
sel... |
# -*- coding: utf-8 -*-
#
# Copyright 2017 - Swiss Data Science Center (SDSC)
# A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and
# Eidgenössische Technische Hochschule Zürich (ETHZ).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compli... |
__all__ = [
'Terminated',
'Unavailable',
'client',
'server',
]
import logging
import time
import curio
import nanomsg as nn
from garage import asyncs
from garage.assertions import ASSERT
from garage.asyncs import futures
from garage.asyncs import queues
LOG = logging.getLogger(__name__)
class Te... |
# Based on spec_tests.py from
# https://github.com/commonmark/commonmark-spec/blob/master/test/spec_tests.py
# and
# https://github.com/github/cmark-gfm/blob/master/test/spec_tests.py
import sys
import os
import os.path
import re
import md4c
import md4c.domparser
import pytest
from normalize import normalize_html
ex... |
"""Assimp-based analyzer."""
from __future__ import absolute_import
import os
import logging
import subprocess
import pyassimp
from damn_at import (
mimetypes,
MetaDataType,
MetaDataValue,
FileId,
FileDescription,
AssetDescription,
AssetId
)
from damn_at.pluginmanager import IAnalyzer
from... |
'''
File: ebook_fix.py
Created: 2021-03-06 15:46:09
Modified: 2021-03-06 15:46:14
Author: mcxiaoke (<EMAIL>)
License: Apache License 2.0
'''
import sys
import os
from pprint import pprint
from types import new_class
from mobi import Mobi
from ebooklib import epub
import argparse
from multiprocessing.dummy import Pool
f... |
# Copyright 2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... |
import numpy as np
from copy import copy
from .utils.thresholdcurator import ThresholdCurator
from .quality_metric import QualityMetric
import spiketoolkit as st
import spikemetrics.metrics as metrics
from spikemetrics.utils import printProgressBar
from collections import OrderedDict
from sklearn.neighbors import Neare... |
from __future__ import print_function
import numpy as np
from copy import copy
import torch
import torch.nn.functional as F
from torch.autograd import Variable
import torch.nn as nn
def apply_var(v, k):
if isinstance(v, Variable) and v.requires_grad:
v.register_hook(inves(k))
def apply_dict(dic):
fo... |
# Code apapted from https://github.com/mseitzer/pytorch-fid
"""Calculates the Frechet Inception Distance (FID) to evalulate GANs
The FID metric calculates the distance between two distributions of images.
Typically, we have summary statistics (mean & covariance matrix) of one
of these distributions, while the 2nd dist... |
# Copyright 2020 Toyota Research Institute. All rights reserved.
# Adapted from Pytorch-Lightning
# https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pytorch_lightning/loggers/wandb.py
from argparse import Namespace
from collections import OrderedDict
import numpy as np
import torch.nn as nn
import w... |
import sys
import numpy as np
import torch
from monai import transforms, data
from ..data import DataModule, ReadImaged, Renamed, Inferer
###################################
# Transform
###################################
def wmh_train_transform(
spacing=(1.0, 1.0, 1.0), spatial_size=(128, 128, 128), num_patc... |
from math import log2
import torch
from torch import nn, einsum
import torch.nn.functional as F
from einops import rearrange
from x_transformers import Encoder, Decoder
# helpers
def exists(val):
return val is not None
def masked_mean(t, mask, dim = 1):
t = t.masked_fill(~mask[:, :, None], 0.)
return t.... |
"""
Climate Platform Device for Wiser Smart
https://github.com/tomtomfx/wiserSmartForHA
<EMAIL>
"""
import asyncio
import logging
import voluptuous as vol
from functools import partial
from ruamel.yaml import YAML as yaml
from homeassistant.components.climate import ClimateEntity
from homeassistant.core import cal... |
import os
from functools import partial
from multiprocessing import Pool
from typing import Any, Callable, Dict, List, Optional
import numpy as np
import pandas as pd
from tqdm import tqdm
from src.dataset.utils.waveform_preprocessings import preprocess_strain
def id_2_path(
image_id: str,
is_train: bool = ... |
#!/usr/bin/env python3
import os
import boto3
import botocore.exceptions
import argparse
import yaml
from nephele2 import NepheleError
mand_vars = ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY']
perm_error = """\n\nIt seems you have not set up your AWS correctly.
Should you be running this with Awssume? Or have profile... |
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 27 18:16:24 2015
@author: <NAME>
A raíz del cambio previsto:
DESCONEXIÓN DE LA WEB PÚBLICA CLÁSICA DE E·SIOS
La Web pública clásica de e·sios (http://www.esios.ree.es) será desconectada el día 29 de marzo de 2016.
Continuaremos ofreciendo servicio en la nueva Web del Op... |
"""
Defines models
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import pad_packed_sequence
def init_weights(m):
if type(m) == nn.Linear or ... |
#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project: GDAL/OGR Test Suite
# Purpose: Test some MITAB specific translation issues.
# Author: <NAME>, <even dot rouault at mines dash paris dot org>
#
###################################################... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2016 <NAME> <<EMAIL>>
# Copyright (C) 2016 Rackspace US, Inc.
#
# 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 3 of the License... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# -*- test-case-name: vumi.tests.test_worker -*-
"""Basic tools for workers that handle TransportMessages."""
import time
import os
import socket
from twisted.internet.defer import (
inlineCallbacks, succeed, maybeDeferred, gatherResults)
from twisted.python import log
from vumi.service import Worker
from vumi.... |
#!/usr/bin/env python3
"""
Copyright 2018 Couchbase, Inc
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed ... |
import os
import sys
import shutil
import glob
import time
import multiprocessing as mp
if len(sys.argv)!=4:
print("Usage: ")
print("python extract_features_WORLD.py <path_to_wav_dir> <path_to_feat_dir> <sampling rate>")
sys.exit(1)
# top currently directory
current_dir = os.getcwd()
# input audio direct... |
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