Commit f8e3da3c authored by nlaanait's avatar nlaanait
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*.py[cod]
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*.so
# Distribution / packaging
.Python
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parts/
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var/
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*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
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MIT License
Copyright (c) 2016 Suhas Somnath, Christopher R. Smith, Stephen Jesse and Nouamane Laanait.
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, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
include README.rst
include LICENSE
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PyCroscopy
==========
"They don't think we're microscopists... Let's become pycroscopists then!"
S.J, 2016
0. The What and Why?
--------------------
A python package for image processing and scientific analysis of imaging modalities such as multi-frequency scanning probe microscopy,
scanning tunneling spectroscopy, x-ray diffraction microscopy, and transmission electron microscopy.
Classes implemented here are ported to a high performance computing platform at Oak Ridge National Laboratory (ORNL).
1. The Who?
-----------
This project begun largely as the effort of materials scientists and physicists at the Center for Nanophase Materials Sciences (ORNL)
to implement a python library for their own use and the benefit of CNMS users and hopefully the wider community of scientists that
do imaging and advanced characterization of materials.
2. The Structure?
-----------------
The package structure is quite simple, with 4 modules: io, processing, analysis, viz.
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#!/usr/bin/env/ python
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from unittest import TestCase
class Test(TestCase):
def test_this_module(self):
pass
[bdist_wheel]
# This flag says that the code is written to work on both Python 2 and Python
# 3. If at all possible, it is good practice to do this. If you cannot, you
# will need to generate wheels for each Python version that you support.
# Uncomment after checking compatibility with python 3
#universal=1
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from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md')) as f:
long_description=f.read()
setup(
name='pyCroscopy',
version='0.0a1',
description='A suite of Python libraries for high performance scientific computing of microscopy data.',
long_description= long_description,
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Cython',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: Implementation :: CPython',
'Topic :: Scientific/Engineering :: Chemistry',
'Topic :: Scientific / Engineering :: Information Analysis',
'Topic :: Scientific/Engineering :: Physics',
],
packages=find_packages(exclude='tests'),
url='http://github.com/pycroscopy/pyCroscopy',
license='MIT',
author='S. Somnath, C. Ryan, N. Laanait',
author_email='pycroscopy@gmail.com',
dependency='',
dependency_links=[''],
install_requires=[''],
test_suite='nose.collector',
tests_require='Nose',
include_package_data=True,
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
# package_data={
# 'sample': ['package_data.dat'],
# },
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
# entry_points={
# 'console_scripts': [
# 'sample=sample:main',
# ],
# },
)
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