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确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
# Copyright (c) 2017 VisualDL Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =======================================================================
from __future__ import absolute_import
import os
import sys
from sys import platform
from distutils.spawn import find_executable
from distutils import log
import setuptools.command.build_py
import setuptools
from setuptools import setup
from setuptools import find_packages
from visualdl import __version__
import subprocess
TOP_DIR = os.path.realpath(os.path.dirname(__file__))
BUILD_DIR = os.path.join(TOP_DIR, 'build')
def read(name):
return open(os.path.join(TOP_DIR, name)).read()
def readlines(name):
return read(name).split('\n')
README = read('README.md')
LICENSE = readlines('LICENSE')[0].strip()
REQUIRED_PACKAGES = read('requirements.txt')
execute_requires = ['npm', 'node', 'powershell' if platform == 'win32' else 'bash']
for exe in execute_requires:
if not find_executable(exe):
log.error('%s should be installed.', exe)
sys.exit(1)
class build_py(setuptools.command.build_py.build_py):
def run(self):
cmd = ['powershell', '-NoProfile', './scripts/build.ps1'] if platform == 'win32' else ['bash',
'scripts/build.sh']
env = dict(os.environ)
subprocess.check_call(cmd, env=env)
return setuptools.command.build_py.build_py.run(self)
cmdclass = {
'build_py': build_py,
}
setup(
name="visualdl",
version=__version__,
author="PaddlePaddle and Echarts team",
description="Visualize Deep Learning",
license=LICENSE,
keywords="visualization deeplearning",
long_description=README,
long_description_content_type='text/markdown',
install_requires=REQUIRED_PACKAGES,
package_data={
'visualdl.server': [('dist' + ('/*' * n)) for n in range(1, 20)],
'visualdl.python': ['dog.jpg', 'testing.wav']
},
packages=find_packages(),
cmdclass=cmdclass,
entry_points={'console_scripts': ['visualdl=visualdl.server.app:main']})
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