text
stringlengths
3.07k
12.6k
from IMLearn.utils import split_train_test from IMLearn.learners.regressors import LinearRegression from typing import NoReturn import numpy as np import pandas as pd import plotly.graph_objects as go import plotly.express as px import plotly.io as pio pio.templates.default = "simple_white" def load_data(filename: ...
""" Criado em 28/03/2022 por <NAME> Soluções e Serviços v1.0.2 => Correção para novo formato de extração do mongocsv v1.1.0 => Nova funcionalidade de análise de baterias das estações """ import os import sys import time import getopt import pathlib import xlsxwriter import pandas as pd from dask import dataframe ...
#!/bin/env python3 """The same model as Ipopt/examples/hs071 You can set Ipopt options by calling ipyopt.Problem.set(). For instance, to set the tolarance, use nlp = ipyopt.Problem(...) nlp.set(tol=1e-8) For a complete list of Ipopt options, use print(ipyopt.get_ipopt_options()) """ from numpy import o...
# Defines the tilt mode. Expects asset_list.yaml entries for: # sounds: 'tilt warning' and 'tilt' # fonts: tilt_small and tilt_big import logging import procgame from ..game import Mode from ..game.advancedmode import AdvancedMode from .. import dmd import time import os class Tilted(AdvancedMode): """docstring...
# -*- coding: utf-8 -*- """ MNISTデータセットを畳み込みニューラルネットで学習します """ import os import numpy as np from cntk import Trainer from cntk.io import MinibatchSource, CTFDeserializer, StreamDef, StreamDefs, \ INFINITELY_REPEAT, FULL_DATA_SWEEP from cntk.ops import input_variable, constant, element_times, cross_e...
###################################################################################################################### # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # # ...
# # This file is part of LUNA. # # Copyright (c) 2020 <NAME> <<EMAIL>> # SPDX-License-Identifier: BSD-3-Clause """ Boilerplate for LUNA unit tests. """ import os import math import unittest from functools import wraps from nmigen import Signal from nmigen.sim import Simulator def sync_test_case(process_function, ...
# # Copyright 2020 Intellivoid Technologies # # 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 a...
import re import warnings from .. import options as opts from .. import file_types, path, shell from ..iterutils import first, iterate, listify, slice_dict _modes = { 'shared_library': 'EXPORTS', 'static_library': 'STATIC', } _macro_ex = re.compile(r'([^A-Za-z0-9_]|^(?=[0-9]))') _macro_ex2 = re.compile(r'^_'...
#!/usr/bin/python3 import sys import kdb base_key = "/sw/org/kdbdummy/#0/current" spec_base_key = "spec" + base_key spec = kdb.KeySet(10, kdb.Key(spec_base_key, kdb.KEY_META, "command", ""), kdb.Key(spec_base_key + "/printversion", kdb.KEY_META, "description", "print version information and exit (ignoring a...
# coding=utf-8 # Copyright 2020 The TF-Agents Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...
import logging import queue import random import threading import time import uuid import boto3 from kombu.utils import json logger = logging.getLogger("zentral.core.queues.backends.aws_sns_sqs.sqs") class SQSReceiveThread(threading.Thread): attribute_names = ['All'] message_attribute_names = ['All'] ma...
#!/usr/bin/env python3 """ Kenzie assignment: Strings! """ # Copyright 2010 Google Inc. # Licensed under the Apache License, Version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # Instructions: # Complete each function below by writing the code for it. main() is already # set up to test all the functions with a fe...
#!/usr/bin/env python3 # # Copyright 2016 Spotify AB. # # 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 applicabl...
# coding: utf8 from ...symbols import ( ADJ, ADV, NOUN, NUM, PRON, ADP, PUNCT, VERB, POS, X, CCONJ, INTJ, SCONJ ) from ...lemmatizer import Lemmatizer class PolishLemmatizer(Lemmatizer): _morph = None def __init__(self): super(PolishLemmatizer, self).__init__() try: from morfeusz2 import Morfeusz ...
import pandas as pd import numpy as np import yfinance as yf #Yahoo Finance API from datetime import datetime as dt, date import time df = pd.DataFrame() tickers = ["^KS11", "^GSPC", "^N225", "^HSI", "^N100", "^FTSE", "^DJI"] start_day = dt(2019, 12, 1) today = str(date.today()) kospi = yf.download('^KS11', start=dt(...
from lstm_architecture import one_hot, run_with_config import numpy as np import os #-------------------------------------------- # Neural net's config. #-------------------------------------------- class Config(object): """ define a class to store parameters, the input should be feature mat of traini...
""" Trilinear attention This code is written by <NAME>. """ import torch import torch.nn as nn from torch.nn.utils.weight_norm import weight_norm from src.fc import FCNet from src.bc import BCNet from src.tc import TCNet import time class BiAttention(nn.Module): def __init__(self, x_dim, y_dim, z_dim, glimpse, dr...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
from tabpy.tabpy_server.handlers import BaseHandler import logging import time from tabpy.tabpy_server.common.messages import ( Query, QuerySuccessful, QueryError, UnknownURI, ) from hashlib import md5 import uuid import json from tabpy.tabpy_server.common.util import format_exception import urllib from...
# -*- coding: utf-8 -*- """Main routines which will be used in simulations.""" import numpy as np from tqdm import tqdm import scipy.integrate as integrate import matplotlib.pyplot as plt from celluloid import Camera from .operations import ( schrodinger_propagate, get_vibrational_positions, get_q_from_st...
import pprint # Get the html end. def get_html_begin(): return "<!DOCTYPE html> \n" + " <html> \n" # Get the html end. def get_html_end(): return "\n </html>" def writeErrorMessageHtml(error_message): html_code = "" html_code = html_code + get_html_begin() html_code = html_code + "<body>" ...
from __future__ import ( annotations, ) from functools import ( lru_cache, ) from typing import ( TYPE_CHECKING, Any, Iterable, NamedTuple, Optional, Type, Union, ) from ...exceptions import ( MinosImportException, ) from ...importlib import ( import_module, ) from .generic...
from datetime import datetime import pytz from django.core.mail import EmailMultiAlternatives from saleor.plugins.allegro.enums import AllegroErrors from saleor.plugins.allegro import ProductPublishState from saleor.plugins.manager import get_plugins_manager from saleor.product.models import Product, ProductVariant, ...
import sys sys.path.insert(0, 'build/shared_model/bindings') import iroha import block_pb2 import endpoint_pb2 import endpoint_pb2_grpc import queries_pb2 import grpc import time tx_builder = iroha.ModelTransactionBuilder() query_builder = iroha.ModelQueryBuilder() crypto = iroha.ModelCrypto() proto_tx_helper = iroh...
#!/usr/bin/python3 """ MIT License Copyright (c) 2017 <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, mer...
# Copyright (c) 2015-2019, Activision Publishing, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, # are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of ...
""" # Standard preprocessing for VGG on ImageNet taken from here: # https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/vgg_preprocessing.py # Also see the VGG paper for more details: https://arxiv.org/pdf/1409.1556.pdf """ import os import tensorflow as tf VGG_MEAN = [123.68, 116.78, 103.94] ...
#!/usr/bin/env python # # Installs gcam v4.3 on Windows, Mac OS X, and Linux # # Author: <NAME> (<EMAIL>) # Created: 10 Nov 2016 # from __future__ import print_function import os import sys import argparse import subprocess import platform import urllib from urlparse import urlparse import tarfile PlatformName = platf...
import json import logging import os import camelot import jsonpickle import pandas as pd from src.coinverscrapy.model.formatting_handlers.CompetenceNewlineHandler import CompetenceNewlineHandler from src.coinverscrapy.model.formatting_handlers.ExcessNewlineHandler import ExcessNewlineHandler from src.coinverscrapy.m...
# import lib import gym import tensorflow as tf import numpy as np # Create the Cart-Pole game environment env = gym.make('CartPole-v0') # Q-network class QNetwork: def __init__(self, learning_rate=0.01, state_size=4, action_size=2, hidden_size=10, name='QNetwork'): # sta...
#!/usr/bin/env python3 import sys from aiohttp import web, ClientSession import asyncio async def http_root_handler(request): with open('resources/index.html') as f: return web.Response(text=f.read(), content_type='text/html') async def forward(request, url): #print('>', url) headers = {'Accept': 'ap...
import os from os import listdir from os.path import isfile, join import numpy as np import pandas as pd from datetime import timedelta from flask import Flask, make_response, request, current_app from functools import update_wrapper import persist as pt import torch from torch.autograd import Variable import tor...
import os, sys, time, logging from random import choice from functools import wraps import pyric import pyric.pyw as pyw from pyric.lib import libnl as nl from scapy.all import * from scapy.contrib.wpa_eapol import WPA_key MGMT_ASSOC_REQ = (0, 0) MGMT_ASSOC_RESP = (0, 1) MGMT_REASSOC_REQ = (0, 2) MGMT_REASSO...
#! /usr/local/bin/stackless2.6 # by <EMAIL> at Sat May 8 18:47:38 CEST 2010 """Demo for hosting a gevent application within a Syncless process.""" __author__ = '<EMAIL> (<NAME>)' import sys # Import best_greenlet before gevent to add greenlet emulation for Stackless # if necessary. from syncless.best_greenlet.gree...
import os import pathlib import pytest from geolib.models.dsettlement.dsettlement_parserprovider import * from geolib.models.dsettlement.internal import ( Boundaries, Curves, Layers, PiezoLine, PiezoLines, Points, ) from tests.utils import TestUtils class Test_DSettlementInputParser: @py...
# pragma: no cover import logging import warnings from esteid_certificates import get_certificate_file_name from esteid import settings from esteid.util import parse_legacy_dn, parse_rfc_dn from .ocsp import OCSPVerifier try: from django.utils.deprecation import MiddlewareMixin except ImportError: # Django < ...
import argparse import sys from index import create_document_list, reindex from prepare import load_features, init_default_store from search import ltr_query from train import save_model, train_model, collect_train_data from utils import Logger, elastic_connection, FEATURE_SET_FILE, JUDGMENTS_FILE, QUERIES_FILE, \ ...
import json import os import urllib.request import arrow from pdf2image import convert_from_path import pytesseract from PIL import Image class Case: def __init__(self, filename): with open(filename, 'r') as f: self.__data = json.load(f) self.entries = [] for entry_data in sel...
####################################################### # ---------- Network Propagation Functions ---------- # ####################################################### import networkx as nx import time import numpy as np import pandas as pd # Normalize network (or network subgraph) for random walk propagation # If sy...
""" Post-deploy script to create resources and automatically create a deployment step for the Greengrass Group """ import json import sys import logging from pathlib import Path from urllib import request import boto3 from botocore.exceptions import ClientError logger = logging.getLogger() logger.setLevel(logging.I...
from tkinter import Toplevel from tkinter import Label from tkinter import Frame from tkinter import Button from tkinter import GROOVE from tkinter import NSEW from tkinter import PhotoImage from tkinter import Tk import util.funcoes as funcoes class SetLanguage(): def __init__(self, master, design, idioma, inter...
# ADC DMA web server using MicroPython on Pico # # For detailed description, see https://iosoft.blog # # Copyright (c) 2021 <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...
import os import logging import shutil import tempfile import six from . import process from . import runtime from . import path yatest_logger = logging.getLogger("ya.test") def _copy(src, dst, universal_lines=False): if universal_lines: with open(dst, "wb") as f: for line in open(src, "rbU...
import pandas as pd import numpy as np def full_data(dataframe): return dataframe.drop(['DATETIME', 'ATT_T1', 'ATT_T2', 'ATT_T3', 'ATT_T4', 'ATT_T5', 'ATT_T6', 'ATT_T7','ATT_PU1', 'ATT_PU2', 'ATT_PU3', 'ATT_PU4', 'ATT_PU5','ATT_PU6', 'ATT_PU7', 'ATT_PU8', 'AT...
from typing import AnyStr, Dict, List, Optional, Type from django import forms from django.contrib import messages from django.contrib.auth import get_user_model from django.contrib.auth.mixins import LoginRequiredMixin from django.db import models from django.http import Http404 from django.shortcuts import get_objec...
import numpy as np import segyio from pyvds.accessors import VdsReader VDS_FILE = 'test_data/small.vds' SGY_FILE = 'test_data/small.sgy' def test_read_ilines_list(): reader = VdsReader(VDS_FILE) with segyio.open(SGY_FILE) as sgyfile: assert np.all(reader.ilines == sgyfile.ilines) def test_read_xline...
import logging import os from typing import Dict, Tuple, Union import torch import random import numpy as np from torch import Tensor from torch.nn import Module, Softmax from torch.optim import Optimizer from torchmetrics.functional import confusion_matrix from config.default import CfgNode, get_cfg_from_file log...
import json import logging import pickle import collections from datetime import datetime, timedelta from django.http import HttpResponse from django.views.decorators.cache import never_cache from core.monitor.modelsMonitor import AtlasDBA from core.libs.cache import getCacheEntry, setCacheEntry from core.views impor...
import pyautogui import numpy as np import time import datetime import pkg_resources import serial import re from res.settings import DEV, MOCK PORT_GAUSS = 'COM7' # Nobody else is going to use this library anyway! PORT_PSU = 'COMX' # IMG_XPLUS = 'res/x+.png' IMG_XPLUS = pkg_resources.resource_filename(__name__, 'res...
# 预处理部分 # # import re from nltk import word_tokenize, pos_tag from nltk.corpus import stopwords, wordnet from nltk.stem import WordNetLemmatizer """ 从文本到文本,使用正则去除标点、缩写、html符号 """ def regUse(text): text = re.sub(r"[,.?!\":]", '', text) # 去标点 text = re.sub(r"'\w*\s", ' ', text) # 去缩写 text = re.sub(r"#?&.{1,3}...
from __future__ import print_function, division import dicom import numpy as np import glob import os,sys import cv2 import json from natsort import natsorted import multiprocessing from joblib import Parallel, delayed import SimpleITK as sitk import scipy.ndimage from tqdm import tqdm np.random.seed(17) # do NOT cha...
import os from osgeo import gdal from ..helper import generate_output_file_tif, create_zip_shapefiles from ..constant import CM_NAME import pandas as pd import time import numpy as np , pandas as pd from .my_calculation_module_directory.dispatch import run from .my_calculation_module_directory.preprocessing import p...
from model import * from flask import request, jsonify from flasgger.utils import swag_from from flasgger import Swagger import json app.config["SWAGGER"] = {"title": "ANIME-TV-API", "universion": 1} swagger_config = { "headers": [], "specs": [{ "title": "anime-tv-api", "description": ...
import pystan import os import pickle as pkl import numpy as np import pandas as pd from .utils import do_ols __dir__ = os.path.abspath(os.path.dirname(__file__)) class HierarchicalModel(object): def __init__(self, X, subject_ids, subjectwise_errors=False, cauchy_priors=False): self.X = pd.DataFrame(X)...
import numpy as np from typing import Tuple from keras.models import Sequential from keras.layers import Dense from keras.optimizers import Adam # # This is the environment that returns rewards. The reward profile is -x2 where the state is # x between -1 and 1 on 0.05 step intervals. This means the optimal action to ...
# Copyright 2020 The SODA Authors. # Copyright 2016 Red Hat, Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LI...
""" Project Euler Problem 68: https://projecteuler.net/problem=68 Magic 5-gon ring Problem Statement: Consider the following "magic" 3-gon ring, filled with the numbers 1 to 6, and each line adding to nine. 4 \ 3 / \ 1 - 2 - 6 / 5 Working clockwise, and starting from the group of three with th...
#!/usr/bin/env python # -*- coding: utf-8 -*- # TAKEN FROM: https://github.com/i3/i3status/blob/master/contrib/wrapper.py # MUTILATED BY: Architector #4 # This script is a simple wrapper which prefixes each i3status line with custom # information. It is a python reimplementation of: # http://code.stapelberg.de/git/i3s...
import json import pathlib import random import re from collections import defaultdict, namedtuple from itertools import zip_longest import discord from discord.ext import commands Result = namedtuple('Result', 'cmp name image') class RockPaperScissors: @staticmethod def pick(choice, elements): beats...
import os import argparse import logging import time import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import DataLoader import torchvision.datasets as datasets import torchvision.transforms as transforms from torchdiffeq import odeint_adjoint as odeint_adjoint...
import sys import os from pathlib import Path, WindowsPath import importlib from functools import wraps, reduce import base64 import shutil import inspect from collections.abc import Iterable from contextlib import contextmanager from ploomber.exceptions import (CallbackSignatureError, CallbackCheckAborted, ...
# =============================================================================== # Copyright 2013 <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/...
import os import time import spacy import platform import functools import operator import CordisKG.config from suffix_trees import STree from string import punctuation from difflib import get_close_matches from keybert import KeyBERT from collections import OrderedDict from stempel import StempelStemmer from nltk.stem...
'''Infrastructure layer for representing agent observations Maintains a synchronized + serialized representation of agent observations in flat tensors. This allows for fast observation processing as a set of tensor slices instead of a lengthy traversal over hundreds of game properties. Synchronization bugs are notori...
__all__ = ['console', 'EProg', 'ESpark', 'SpkMap', 'Stats', 'colors', 'colors2'] import time,random from collections import defaultdict from typing import List from collections import deque, OrderedDict, namedtuple from .all_rich import (Console, Color, FixedPanel, box, Segments, Live, g...
import io import xlsxwriter from fastapi import APIRouter, Depends from fastapi.responses import UJSONResponse from starlette.responses import StreamingResponse from starlette.status import HTTP_409_CONFLICT from tortoise import Model from tortoise.contrib.pydantic import pydantic_model_creator from tortoise.exception...
""" Use imagemagick to convert all pfds to a sequence of thumbnail images requires: sudo apt-get install imagemagick """ import datetime import os, sys import threading import time import shutil from subprocess import Popen from utils import Config, get_left_time_str def create_thumbnail(thread_number, pdf_path, thu...
import numpy as np from .base import ConfigFrame import wx from . import gTurbSim_wdr as gts_wdr class cho_windtype_turbclass(object): def __init__(self, cho_type, cho_class): self.windtype = cho_type self.turbclass = cho_class def Disable(self,): self.windtype.Disable() self...
# Examples of smileys on a LED matrix display. # This example and library is meant to work with Adafruit CircuitPython API. # 2017-0522 PePo - MicroPython, SDA/SCL pins are different for NodeMCU and LoLin32 # source: https://learn.adafruit.com/micropython-hardware-led-backpacks-and-featherwings?view=all # 2017-0520 PeP...
# -*- coding: utf-8 -*- # cython: language_level=3 # Copyright (c) 2021-present VincentRPS # 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 t...
"""Sparse matrix norms. """ from __future__ import division, print_function, absolute_import import numpy as np from scipy.sparse import issparse from numpy.core import Inf, sqrt, abs __all__ = ['norm'] def _sparse_frobenius_norm(x): if np.issubdtype(x.dtype, np.complexfloating): sqnorm = abs(x).power...
from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf slim = tf.contrib.slim import tensorflow as tf import tensorflow.contrib.layers as layers import tensorflow.contrib.framework as ops def get_inception_layer(inputs, conv11_size, conv3...
import time import copy import pandas as pd from more_itertools import split_at from sqlalchemy import create_engine from sqlalchemy.engine.url import URL from transformers import BatchEncoding def add_insep_token(tokenizer): special_tokens_dict = {'sep_token': str('<|insep|>')} tokenizer.add_special_tokens(s...
#!/usr/bin/env python # -*- coding: utf-8; py-indent-offset: 4 -*- # # Author: Linuxfabrik GmbH, Zurich, Switzerland # Contact: info (at) linuxfabrik (dot) ch # https://www.linuxfabrik.ch/ # License: The Unlicense, see LICENSE file. # Make coding more python3-ish from __future__ import (absolute_import, divi...
import bpy from bpy.props import * from ...nodes.BASE.node_tree import RenderStackNode def update_node(self, context): self.update_parms() class RSNodeOctaneRenderSettingsNode(RenderStackNode): """A simple input node""" bl_idname = 'RSNodeOctaneRenderSettingsNode' bl_label = 'Octane Settings' #...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import glob import os import inwx.inwx import inwx.configuration import dns.zone NS = ['ns.inwx.de', 'ns2.inwx.de', 'ns3.inwx.eu', 'ns4.inwx.com', 'ns5.inwx.net'] def dns_name_to_text(name, dnsorigin): return name.derelativize(origin=dnsorigin).to_text().rstrip('.') ...
from collections import defaultdict from pathlib import Path import re import tempfile from typing import Any, Dict, List, NamedTuple, Tuple, Union import zipfile import edn_format Path_T = Union[Path, str] class Card(NamedTuple): """ Represents a single card to be put into Mochi Assumes that the card is ...
""" Deploys have the same name as in ``grammar.yml``, are stored as python modules in the ``deploy`` package. These need to contain a ``deploy()`` function that returns a list of commands - either python functions (remember to use fabric!) - or strings that need to be executed, as well as a list of dependencies. Depen...
""" Utility functions for WPS processes. """ from netCDF4 import Dataset import os from malleefowl import config import logging LOGGER = logging.getLogger("PYWPS") def esgf_archive_path(url): from os.path import join, isfile archive_path = None if 'thredds/fileServer/' in url: url_path = url....
# Copyright 2020 DeepMind Technologies Limited. # # # 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...
from __future__ import absolute_import, unicode_literals import sys import logging import inspect class EagerFormattingAdapter(logging.LoggerAdapter): """ A `logging.LoggerAdapter` that add unterpolation support but performs the evaluation immediately if the appropriate loglevel is set. """ def _...
""" ankisync.py - sync TiddlyWiki notes to Anki After finding all notes in a user's TiddlyWikis, we need to sync with Anki. This is a unidirectional, destructive sync -- all TiddlyWiki notes found are compared with all Anki notes in the collection, and the Anki collection is updated to match, by adding and updating no...
from os.path import join, dirname import pandas as pd #from bokeh.application import Application #from bokeh.application.handlers import FunctionHandler from bokeh.io import output_notebook, show, curdoc # output_notebook() from bokeh.layouts import widgetbox, row, column, layout from bokeh.plotting import figure from...
# coding=utf-8 # Copyright 2021 The TensorFlow Datasets Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...
from os import set_blocking import sys import math import csv #if __name__ == "__main__": # # print(f"Arguments count: {len(sys.argv)}") # for i, arg in enumerate(sys.argv): # print(f"Argument {i:>6}: {arg}") # # parameters: # # 1 - Design coefficient of lift (real, 0.05 to 1) # 2 - Camber position & refex (inte...
import yaml from fibertree import Tensor import sys import time from fibertree import Codec # matrix market converter def mm_to_hfa_yaml(infilename, tensor_name, rank_ids, outfilename): # read mm into csr shape_m = 0 shape_n = 0 nnz = 0 csr = None m_coords = list() with open(infilename, 'r'...
import os import os.path as osp from config import cfg, get_data_dir import random import argparse import numpy as np import scipy.io as sio import h5py from sklearn.preprocessing import MinMaxScaler from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer def make_reuters_data(path, N): did...
# Copyright 2020 NVIDIA. 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 applicable law or agree...
# Author: <NAME> <<EMAIL>> import numpy as np import tensorflow as tf from tensorpack.utils import logger import six,copy from tensorpack.tfutils.common import get_op_tensor_name from tensorpack.tfutils.varmanip import (SessionUpdate, get_savename_from_varname, is_training_name, get_checkpoint_pa...
from flask import Flask, render_template, request, redirect, session, url_for from flask_paginate import Pagination, get_page_args from functools import wraps from rank_dic import rank_dic from game_dic import game_dic from game2_dic import game2_dic #from views.api_player import edubot from api.api_school import edub...
import uuid import graphene from django.utils import timezone from django.utils.translation import override from django.utils.translation import ugettext_lazy as _ from django_ilmoitin.utils import send_notification from graphene_django.types import DjangoObjectType from graphql import GraphQLError from graphql_jwt.de...
import multiprocessing import os import logging import Queue from fs.errors import ParentDirectoryMissingError, ResourceNotFoundError from apn_storage.utils import copy_file, walk_files def sync_fs(source_fs, target_fs, delete_missing=False, processes=0, verbosity=0): """ Synchronize two filesystems, so tha...
# Copyright (c) 2016-present, Facebook, 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...
#!/usr/bin/env python3 # ************************************************************************ # # SYCL Conformance Test Suite # # Copyright: (c) 2018 by Codeplay Software LTD. All Rights Reserved. # # ************************************************************************ import sys import argparse from strin...
import os import arrow import logging import argparse import numpy as np import torch import torch as th import torch.nn as nn from pathlib import Path from leibniz.unet.base import UNet from leibniz.unet.warpped_hyperbolic2d import HyperBottleneck from leibniz.nn.activation import CappingRelu from blks.direct impor...
# -*- coding: utf-8 -*- """ Created on Mon Dec 12 16:39:19 2016 @author: dendrondal """ import glob import os import re from pathlib import Path import click import matplotlib.pyplot as plt import pandas as pd from cycler import cycler from matplotlib import ticker def csv_extraction(path, save=False): """Takes...
import graphics from graphics import Drawable from constants import * from state import tempState, permState from pygame import Rect UNIQUE_ITEM = 1 NORMAL_ITEM = 2 class ItemType: def __init__ (self, id, type, cost, duration, effect): self.id, self.type, self.cost, self.duration, self.effect = id, type,...
#!/usr/bin/env python # # BrainBrowser: Web-based Neurological Visualization Tools # (https://brainbrowser.cbrain.mcgill.ca) # # Copyright (C) 2011 McGill University # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by t...
import torch import numpy as np from cscPy.Const.const import * from progress.bar import Bar from termcolor import colored, cprint from torch.utils.tensorboard import SummaryWriter def meanEuclideanLoss(pred, gt, scale, jointNr=21): pred = pred.view([-1, jointNr, 3]) gt = gt.reshape([-1, jointNr, 3]) eu...