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#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2017 <NAME> <<EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as pub... |
import os
import json
import datasets
import collections
from tflearn.data_utils import to_categorical
class TwitterEmotion(object):
def __init__(self, train_validation_split=None, test_split=None,
use_defaults=True):
if train_validation_split is not None or test_split is not None or \
... |
"""Base Class for Strategies"""
import importlib
import traceback
from datetime import datetime
from enum import Enum
from typing import Dict, List, Optional, Tuple
import alpaca_trade_api as tradeapi
from pandas import DataFrame as df
from liualgotrader.common import config
from liualgotrader.common.data_loader impo... |
# __author__ = 'max'
# modified by michihiro
import logging
import sys
import numpy as np
import lasagne
from gensim.models.word2vec import Word2Vec
import gzip
import theano
import pickle
def get_logger(name, level=logging.INFO, handler=sys.stdout,
formatter='%(asctime)s - %(name)s - %(levelname)s - ... |
from IPython.display import clear_output
import random
def display_board(board):
clear_output()
print(board[1]+'|'+board[2]+'|'+board[3])
print("-----")
print(board[4]+'|'+board[5]+'|'+board[6])
print("-----")
print(board[7]+'|'+board[8]+'|'+board[9])
print("-----")
def pla... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
''' This module contains functions to convert between
Cartesian and prolate spheroid coordinates.
Prolate spheroid coordinates defines intersecting
prolate spheroids and hyperboloids.
Prolate spheroid coordinates
----------------------------
| x = a sinh mu cosh nu cos ... |
import torch.nn as nn
class Generator(nn.Module):
"""Full convolution generator"""
def __init__(self, channels_noise, channels_img, features_gen):
"""
:param channels_noise: ``int``, input latent space dimension
:param channels_img: ``int``, 3 for RGB image or 1 for GrayScale
... |
import datetime
import os
import numpy as np
import yaml
from constants.statistics import ModelDescriptor
CV_DATA_FILE = "cv_data.csv"
class Config:
def __init__(self, user_config_file: str):
with open(user_config_file, 'r') as user_config:
config = yaml.safe_load(user_config)
self.... |
import operator
import logging
import pyfastaq
from cluster_vcf_records import vcf_record
class Error (Exception): pass
def vcf_file_to_dict(infile, sort=True, homozygous_only=False, remove_asterisk_alts=False, max_REF_len=None, remove_useless_start_nucleotides=False, min_SNP_qual=None, min_dp4=None, min_GT_conf=No... |
from collections import namedtuple
from random import randrange
from flask import abort, flash, redirect, render_template, session, url_for
from num2words import num2words
from requests.exceptions import HTTPError
from src.blueprints import root
from src.core import api
from src.core.filters import date as date_forma... |
# -*- coding: utf-8 -*-
import base64
import cv2
from flask import Flask, render_template
from flask_socketio import SocketIO, emit
import multiprocessing
import os
import threading
import types
# logging
from logging import getLogger, NullHandler, CRITICAL
logger = getLogger(__name__)
logger.addHandler(NullHandler()... |
"""Sora no Aosa wo Shiru Hito yo script"""
__author__ = 'Vardë'
import sys
from typing import NamedTuple
from vsutil import core, vs, depth, get_y, join
from cooldegrain import CoolDegrain
from vsTAAmbk import TAAmbk
import vardefunc as vdf
import kagefunc as kgf
import havsfunc as hvf
import debandshit as dbs
impor... |
import tensorflow as tf
import numpy as np
from tensorflow.compat.v1.train import AdamOptimizer
#### Create tf model for Client ####
def AlexNet(input_shape, num_classes, learning_rate, graph):
"""
Construct the AlexNet model.
input_shape: The shape of input (`list` like)
num_classes: The ... |
# Based on code from https://github.com/tensorflow/cleverhans
#
# This is the code for the paper
#
# Certifying Some Distributional Robustness with Principled Adversarial Training
# Link: https://openreview.net/forum?id=Hk6kPgZA-
#
# Authors: <NAME>, <NAME>, <NAME>
from __future__ import absolute_import
from __future_... |
import tensorflow as tf
import numpy as np
from typing import Tuple
from modules.utils import PostNet, CBHGLayer, PreNet, PositionalEncoding
from modules.attention import BahdanauAttention, CrossAttentionBLK
class BasePosterior(tf.keras.layers.Layer):
"""Encode the target sequence into latent distribu... |
#################################################################################
# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditio... |
#!/usr/bin/env python
# coding: utf-8
r"""Conversion procedure of a FreeCAD file."""
from __future__ import print_function, absolute_import
import logging
from os import remove
from os.path import basename, join, splitext
from shutil import rmtree
import zipfile
import xml.etree.ElementTree
from aocxchange.brep imp... |
from lxml import etree as et
from copy import copy
from utils import is_empty_string, SafeString
from node_factory import get_ns, create_bold_hi_node, create_normal_hi_node, create_italic_hi_node
def fix_morph_numbers(contents):
def number_one_is_in_c0(content0):
return len(content0.strip()) > 2 and cont... |
import pytest
from plenum.common.constants import LEDGER_STATUS
from plenum.common.messages.node_messages import Checkpoint, LedgerStatus
from plenum.common.startable import Mode
from plenum.server.node import Node
from plenum.server.replica import Replica
from plenum.server.replica_validator_enums import STASH_CATCH_... |
"""
Basic tools for Bertran index manipulation.
"""
import functools
import itertools
import numpy
from scipy.special import comb
import chaospy.bertran
_ADD_CACHE = {}
_MULTI_INDEX_CACHE = {}
def add(idxi, idxj, dim):
"""
Bertran addition.
Args:
idxi (Tuple):
Index in integer nota... |
#!/usr/bin/env python
# Copyright 2014-2018 The PySCF Developers. 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
#
# U... |
import os
import time
import argparse
import torch
from collections import defaultdict
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from .utils import get_idf_dict, bert_cos_score_idf,\
get_bert_emb... |
import itertools
import time
import cv2
import imutils as imutils
import numpy as np
from skimage.filters import threshold_local
def order_points(pts):
# initialzie a list of coordinates that will be ordered
# such that the first entry in the list is the top-left,
# the second entry is the top-right, the... |
"""
Module for manageing crontabs interface
"""
import datetime
import time
import traceback
import daiquiri
from dateutil.parser import parse
from dateutil.relativedelta import relativedelta
from fleming import fleming
from .processes import ProcessMonitor
import logging
class Cron:
def __init__(self):
... |
#!/usr/bin/env python
import sys
import os
import subprocess
#import multiprocessing
if sys.version_info[:2] < (2, 7) or sys.version_info[0:2] >= (3, 0):
raise RuntimeError("Python version 2.7+ is required.")
if sys.version_info[0] < 3:
import __builtin__ as builtins
else:
import builtins
from setuptools ... |
# Copyright 2018 The TensorFlow Hub 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 app... |
#!/usr/bin/env python
# Copyright (c) 2018, 2019, 2020 Pure Storage, Inc.
#
# * Overview
#
# This short Nagios/Icinga plugin code shows how to build a simple plugin to monitor Pure Storage FlashBlade systems.
# The Pure Storage Python REST Client is used to query the FlashBlade performance counters.
# Plugin leverages... |
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
import math
import torch
def conv3x1(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=(3, 1), stride=(stride, 1),
padding=(1, 0), bias=False)
def co... |
# -*- coding: iso-8859-1 -*-
#
"""
@ 2009 by <NAME> <<EMAIL>>
This file is part of the open source Akara project,
provided under the Apache 2.0 license.
See the files LICENSE and NOTICE for details.
Project home, documentation, distributions: http://wiki.xml3k.org/Akara
Module name:: collection
= Defined REST entr... |
# DCGAN-like generator and discriminator
import numpy as np
import torch
from torch import nn
import torch.nn.functional as F
from torch.autograd import Variable
from spectral_normalization import SpectralNorm
channels = 6
leak = 0.1
class Generator(nn.Module):
def __init__(self, z_dim):
super(Generator... |
# -*- coding: utf-8 -*-
#
# Copyright 2012 <NAME> <<EMAIL>>
#
# 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 ... |
import torch
import numpy as np
import scipy as sp
import pandas as pd
import scanpy as sc
from sklearn.model_selection import train_test_split
#from sklearn.preprocessing import scale
class GeneCountData(torch.utils.data.Dataset):
"""Dataset of GeneCounts for DCA"""
def __init__(self, path='data/francescon... |
import numpy as np
import pandas as pd
import itertools
from sklearn.model_selection import StratifiedKFold
def get_dat_from_df(df, time_norm, jol_norm):
#train
l_seconds = np.array(df[['lag1', 'lag2', 'lag3', 'lag4', 'study_test_lag']])
l = l_seconds/time_norm
T = l.shape[0]
N = len(df['participan... |
import json
from elasticsearch_dsl import mapping, Text, Keyword, Nested, analysis
def test_mapping_can_has_fields():
m = mapping.Mapping('article')
m.field('name', 'text').field('tags', 'keyword')
assert {
'article': {
'properties': {
'name': {'type': 'text'},
... |
# 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 ... |
"""Instruments which receive probe events."""
import datetime
import sys
import six
try:
from statsd import statsd
except ImportError:
statsd = None
import diagnose
from diagnose import probes
omitted = object()
class Instrument(object):
"""An instrument which receives FunctionProbe events.
Attr... |
# -*- coding: utf-8 -*-
#########################################################################
#
# Copyright (C) 2016 OSGeo
#
# 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 ... |
import datetime
import logging
import numpy as np
import os.path
from PIL import Image
from scipy import ndimage
from lxml import etree
import time
from mengenali.io import read_image
def classify_number(input_file, order, layers):
cv_image = read_image(input_file)
classify_number_in_memory(cv_image, order,... |
from .common import Benchmark
import numpy as np
avx_ufuncs = ['sin',
'cos',
'exp',
'log',
'sqrt',
'absolute',
'reciprocal',
'square',
'rint',
'floor',
'ceil' ,
'tr... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Video models."""
from functools import partial
import slowfast.utils.weight_init_helper as init_helper
import torch
import torch.nn as nn
from slowfast.models.batchnorm_helper import get_norm
from timm.models.layers imp... |
def chars_to_bools(chars):
# assert all([c == "0" or c == "1" for c in chars])
return [c == "1" for c in chars] + [False]* (6-len(chars))
def bools_to_chars(bools):
return ["1" if b else "0" for b in bools]
def draw_outline(term, start_coords, end_coords, title=None, color=None):
if color == None:
... |
import re
from enum import unique
from pycsp3.classes.auxiliary.ptypes import auto, AbstractType, TypeXML
from pycsp3.classes.main.constraints import ConstraintUnmergeable
from pycsp3.classes.main.variables import Variable
from pycsp3.tools.inspector import checkType
from pycsp3.tools.utilities import flatten
@uniqu... |
import numpy as np
import torch as to
import pyrado
from pyrado.algorithms.parameter_exploring import ParameterExploring
from pyrado.environments.base import Env
from pyrado.policies.base import Policy
from pyrado.utils.input_output import print_cbt
from pyrado.sampling.parameter_exploration_sampler import ParameterSa... |
"""
Copyright 2015 <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... |
# for data input and output:
import numpy as np
import os
import tensorflow as tf
# for deep learning:
import keras
from keras.models import Sequential, Model
from keras.layers import Input, Dense, Conv2D, BatchNormalization, Dropout, Flatten
from keras.layers import Activation, Reshape, Conv2DTranspose, UpSampling2D ... |
#!/usr/bin/env python3
# SDFParse - a test utility for SDF documents
# Released under the terms of the MIT license
# ©2019-2020 <NAME> <<EMAIL>>
import re
global_tag_list = [
'align',
'attachments',
'b',
'body',
'cell',
'code',
'document',
'fontinfo',
'h1','h2','h3','h4','h5','h6',
'head',
'header',
'hr... |
# Copyright 2017 Google 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 to in writing, ... |
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
##########################################################################
# NSAp - Copyright (C) CEA, 2013
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for details.
##########... |
"""
A Kik bot that just logs every event that it gets (new message, message read, etc.),
and echos back whatever chat messages it receives.
"""
import os
import socket
from .kik_unofficial.datatypes.xmpp import chatting as chatting
from .kik_unofficial.client import KikClient
from .kik_unofficial.callbacks impo... |
import os
import osmnx as ox
import geopandas as gpd
import pandas as pd
import networkx as nx
import time
from multiprocessing import Pool
useful_tags = ox.settings.useful_tags_path + ['cycleway']
ox.config(data_folder='../Data', logs_folder='../logs',
imgs_folder='../imgs', cache_folder='../cache',
... |
import numpy as np
from sklearn.metrics import mutual_info_score
from typing import Union
def get_fisher_score(X: np.ndarray, y: np.ndarray, negative_class: Union[int, float, str],
positive_class: Union[int, float, str], epsilon: Union[int, float] = 1e-5) -> np.ndarray:
"""
Computes the F... |
from operator import attrgetter
class Solver:
def checkvalidpuzzle(self, arr):
subsquarestartingpoints = [[0, 0], [0, 3], [0, 6], [3, 0], [3, 3], [3, 6], [6, 0], [6, 3], [6, 6]]
# Checking row validity of every row
for row in range(9):
has = set()
for col in range(9... |
# This file is part of the NUS M2 scorer.
# The NUS M2 scorer 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, or
# (at your option) any later version.
# The NUS M2 scorer is d... |
import torch
import argparse
import cv2
import numpy as np
import os
from skimage import transform as trans
import torch.multiprocessing as mp
def parse_args():
parser = argparse.ArgumentParser(
description="fake add headband img generation tool")
parser.add_argument('--input', dest='input_file',
... |
from nt.kaldi import helper
import re
import os
from nt.io import mkdir_p
from collections import defaultdict
import warnings
import pandas
import pickle
import logging
import glob
import numpy as np
def _build_rescale_lattice_cmd(decode_dir, hclg_dir, lmwt,
word_insertion_penalty=0):
... |
#!/usr/bin/env python3
import os
import time
import random
from multiprocessing import Process, Queue
# libs
from warc import WARCReader
import boto3
from botocore.handlers import disable_signing
from common_crawl.tech_queue_in import TechResultsOutputFile
from common_crawl.tech_worker import WorkerTechnologies
fro... |
import argparse
import json
import os
import xml.etree.ElementTree as xml
from xml.dom import minidom
from PIL import Image
from cvat2coco import cvat2coco
from metrics_eval import print_metrics
from correct_detections import correct_detections
# def build_parser():
# parser = argparse.ArgumentParser()
# pars... |
# initialization experiments
import numpy as np
import matplotlib.pyplot as plt
import sklearn
import sklearn.datasets
from init_utils import sigmoid, relu, compute_loss, forward_propagation, backward_propagation
from init_utils import update_parameters, predict, load_dataset, plot_decision_boundary, predict_dec
plt... |
import numpy as np
import scipy.spatial as spacial
from math import sqrt
class TspEnv:
"""
A Travelling Salesman Environment.
Any environment needs:
* An initialise (reset) method that returns the initial observations,
reward, whether state is terminal, additional information.
* A reset
... |
"""
FOREST command line application
"""
from pathlib import Path
import typer
import subprocess
from typing import List, Optional
import forest.db.main
import forest.tutorial.main
APP_NAME = "forest"
BOKEH_APP_PATH = Path(__file__).resolve().parent.parent
app = typer.Typer(help="Command line interface for FOREST web... |
from . import ctng
from . import scalarField
import numpy
from .surfaces import chunkify
from . import surfaces
from numpy.linalg import norm
_max_chunks = 10000000
#TODO: should we expand this to also compute the area between neighboring nodes?
def voxelize2(source, dx=0.25, xlo=None, xhi=None, ylo=None, yhi=None, ... |
import numpy as np
from Bio import SeqIO, Seq
import cPickle as pickle
import pandas as pd
from util import *
fs=16
alpha="ACGT-N"
save_as='.fasta.gz'
def hypermutation_statistics():
'''
use pre-calculated files on mutation prevalence in different reads types to
produce analysis figures
'''
mut_fi... |
'''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py 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, or
(at your option) any late... |
from copy import deepcopy
import numpy as np
from inspect import signature, getfullargspec
from dcptree.data import get_variable_indices, check_data_required_fields
SUPPORTED_METHOD_NAMES = {'svm_linear', 'logreg'}
DEFAULT_TRAINING_SETTINGS = {
'svm_linear': {
'fit_intercept': True,
'intercept_sc... |
import os
from copy import copy, deepcopy
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from funcy import first
from dvc.exceptions import DvcException
from dvc.render.base import (
INDEX_FIELD,
REVISION_FIELD,
BadTemplateError,
Renderer,
)
from dvc.render.utils import get_files
if TY... |
#!/usr/bin/env python
# coding=utf-8
# Stan 2007-08-02
from __future__ import (division, absolute_import,
print_function, unicode_literals)
import logging
from inspect import ismethod
from xml.sax.saxutils import escape, prepare_input_source
from .backwardcompat import *
""" Отладочный выво... |
"""
View the status of mining and machine-payable purchases
"""
# standard python imports
import urllib.parse
import collections
import logging
# 3rd party imports
import click
# two1 imports
import two1.channels as channels
from two1.channels.cli import format_expiration_time
from two1.commands.util import decorator... |
#!/usr/bin/env python2
# coding: utf-8
from __future__ import print_function
import os
import shutil
COV = None
if os.getenv('FLASK_COVERAGE'):
import coverage
COV = coverage.coverage(branch=True, include='app/*') # branch分支覆盖分析
COV.start()
# 从 .env 导入环境变量
if os.path.exists('.env'):
print('Importing e... |
# -*- coding: utf-8 -*-
"""
AK Client
AK Protocol
"""
import json
import toml
import socket
import struct
import traceback
#import aklib
import gevent
from multi_logging import get_logger
#from conf import Conf
#config_file = "config/ak_client.toml"
#conf = Conf(config_file)
#conf_fn = os.sep.join(
# [o... |
# vim: set ts=4 sw=4 et: coding=UTF-8
import re
from subprocess import check_output
from typing import Dict, List
from .fileutils import open_datafile, open_stringio_spec
from .rpmexception import RpmException
from .rpmrequirestoken import RpmRequiresToken
LICENSES_CHANGES = 'licenses_changes.txt'
TEX_CONVERSIONS = ... |
import ast, os, json
from pprint import pprint
import matplotlib.pyplot as plt
import seaborn as sns
def transform_str2list(file):
str_contents = []
with open(file, "r") as f:
for line in f:
str_contents.append(line.strip('\n'))
results = []
str_contents[0] = str_contents[0] + "]"
... |
def main():
# pyPrint()
# pyDataType() #TODO: crud on data type - https://www.programiz.com/python-programming/list
pyIterator()
# pyFunction()
# pyClass()
# pyModule()
# pyPackage()
# PRINT
def pyPrint():
a = 10
print('hi', a, "hello")
print('hi', a, "hello", sep='#', end='@\n')
print('hi {} hello'.form... |
#
# 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 not... |
import six
from django.shortcuts import render, resolve_url
from django.utils.functional import Promise
from rest_framework.renderers import BaseRenderer, JSONRenderer, TemplateHTMLRenderer
from rest_framework.utils import json
from .app_settings import redoc_settings, swagger_settings
from .codecs import VALIDATORS,... |
#!/usr/bin/env python3
import argparse
from os.path import expanduser
import glob
import json
import os
import re
import shutil
import subprocess
import tempfile
from termcolor import cprint, colored
class TestRunner:
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
def __init__(self, options):
... |
import datetime
import json
import multiprocessing
import os
import random
import re
import time
import discum
version = 'v0.01'
config_path = 'data/config.json'
logo = f'''
###### ### ### ## ####### ### ## ## ###
## ## ## ## ## ## ## ## ## ## ## ## ## ##
## ## ## ... |
# ********************************************************************************** #
# #
# Project: FastClassAI workbecnch #
# ... |
import json
class _PayloadAlert:
def __init__(self, title=None, body=None):
super().__init__()
self.title = title
self.body = body
def to_dict(self, alert_body=None):
if alert_body is None:
alert_body = self.body
d = {}
if self.title:
... |
import sys
import os
import ast
import jsonpickle
import datetime
# PyQt5
from PyQt5.QtWidgets import QApplication, QMainWindow
from PyQt5.QtWidgets import QTabWidget, QTabBar
from PyQt5 import uic
from PyQt5 import QtCore
# Own Modules
from NodeManager import NodeManager
from ViewManager import ViewManager
from View... |
# Copyright (C) 2012 Nippon Telegraph and Telephone Corporation.
# Copyright (C) 2012 <NAME> <yamahata at private email ne jp>
#
# 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://ww... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from typing import Generator, List, Optional, Tuple
import argparse
import json
import os
import re
import subprocess
import sys
# Internal
PACKAGE_PATH = os.path.realpath(os.path.join(os.path.join(os.path.dirname(__file__), '..')))
MESSAGE_DIR = 'messages'
MESSAGE_PATH ... |
# coding:utf-8
# code for week3
import torch
from torch.autograd import Variable as V
def generate_data():
# 本函数生成0-9，10个数字的图片矩阵
image_data = []
num_0 = torch.tensor(
[[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 1, 0, 0, 1, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 1, 0... |
#!/usr/bin/env python
# Stock Python modules
import copy
import datetime
# Third-party modules
import numpy
# cdf extension modules
from . import internal
class epoch(datetime.datetime):
def __new__(cls, value = None):
if isinstance(value, datetime.datetime):
year = value.year
mo... |
"""Collection of tests for unified dtype functions."""
# global
import pytest
from numbers import Number
import ivy_tests.test_ivy.helpers as helpers
# local
import ivy
import ivy.functional.backends.numpy
import ivy.functional.backends.jax
import ivy.functional.backends.tensorflow
import ivy.functional.backends.torc... |
from itertools import combinations
import numpy as np
from ..._utils._utils import _cost
# from skroute._utils._utils import _cost
import random as rd
prueba = [1,2,3,4]
def create_combinations(rnd_sol_1, start_id):
"""
Create pair combinations from one route
Parameters
-----------
rnd_sol_1: list
A list of ... |
# Copyright 2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at http://aws.amazon.com/apache2.0/
# or in the "LICENSE.txt" file accompanyin... |
import cv2
import numpy as np
import sys
import os
import glob
import json
def delete_file(image_path, annotations):
file_name = ''.join(os.path.splitext(os.path.basename(image_path)))
file_size = int(os.path.getsize(image_path))
key = file_name + str(file_size)
isExist = key in annotations.keys()
... |
#!/usr/bin/env python
# encoding: utf-8
import base64
import logging
import paramiko
import pipes
import random
import scp
import tempfile
import time
import winrm
logging.basicConfig(level=logging.DEBUG)
logging.getLogger("paramiko").setLevel(logging.INFO)
class VMComms(object):
sep = "/"
@classmethod
... |
import uuid
from unittest import mock
import pytest
from botocore import exceptions
from dagster import DagsterResourceFunctionError, In, Out, build_op_context, configured, job, op
from dagster_aws.s3 import S3FileHandle, S3FileManager, s3_file_manager, s3_resource
def test_s3_file_manager_write(mock_s3_resource, mo... |
from dj_rest_auth.jwt_auth import unset_jwt_cookies
from django.http.response import HttpResponseRedirect
from rest_framework_simplejwt.views import TokenRefreshView, TokenObtainPairView
from allauth.account.models import EmailAddress
from dj_rest_auth.views import LoginView
from django.contrib import messages
from res... |
from multirunnable.persistence.file.files import File, CSVFormatter, XLSXFormatter, JSONFormatter, Checking
from .._data import Test_Data_List, Test_Error_Data_List, Test_JSON_Data
from pathlib import Path
from typing import List, Dict
from openpyxl import Workbook, load_workbook
import pytest
import json
import csv
... |
# Copyright 2019 The Wallaroo Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
"""UserAssist parser leveraging the YARP library."""
import struct
import sys
import logging
from helper import utility
from yarp import Registry
"""
MIT License
Copyright (c) 2018 <NAME>, <NAME>
Please share comments and questions at:
https://github.com/PythonForensics/Learning-Python-for-Forensics
or email <EM... |
##############################################################################
#
# Copyright (c) 2003 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... |
import os
import functools
import ell_helper
import ell
def GetName(node): return node.GetId()
def GetNodeIndex(index, node): return index[GetName(node)]
def GetNodes(model):
'''Return an array holding all the Node objects of the model.
The output will we of the form [node_1, node_2, ..., node_v]'''
retur... |
# Xlib.ext.dpms -- X Display Power Management Signaling
#
# Copyright (C) 2020 <NAME> <<EMAIL>>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation; either version 2.1
# of the License, o... |
import numpy as np
import time
from agents.common import *
from agents.agent_minimax.minimax import get_valid_columns
def generate_move_montecarlo(
board: np.ndarray, player: BoardPiece, saved_state: Optional[SavedState]
) -> Tuple[PlayerAction, Optional[SavedState]]:
"""
generate move function employ... |
"""Sphinx extension to link to source code on GitHub.
This links to source code for modules, classes, etc. to the correct line on
GitHub. This prevents having to bundle the source code along with the
documentation, and better ties everything together.
Setup
=====
To use this, you'll need to import the module and de... |
#!/usr/bin/env python3
import qutip as qt
import numpy as np
import itertools
from math import factorial
from scipy.special import binom
N = 3
op_cap = 3
I2 = qt.qeye(2)
sz = qt.sigmaz()/2
sp = qt.sigmap()
sm = qt.sigmam()
II = qt.tensor([ I2 ] * N)
def partition_1D(indices, partition_sizes):
return [ indices[... |
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