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%global _empty_manifest_terminate_build 0
Name:		python-napatrackmater
Version:	3.5.4
Release:	1
Summary:	Import Trackmate XML files for Track Visualization and analysis in Napari.
License:	MIT License
URL:		https://github.com/kapoorlab/NapaTrackMater/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/14/91/848e4bd2bf71766c7a51f45a2c9ad8cff42f9349b27024ec4f37e476df42/napatrackmater-3.5.4.tar.gz
BuildArch:	noarch

Requires:	python3-lxml
Requires:	python3-vollseg
Requires:	python3-napari
Requires:	python3-natsort
Requires:	python3-seaborn

%description
# NapaTrackMater
Napari Visualization tool for Trackmate > 6.0 and bTrackmate XML files for 3D + time tracks.

This repository is the bridge between the Fiji and Napari world for exporting and viewing the track XML files using [Napari track layer](https://napari.org/tutorials/fundamentals/tracks.html).

[![Build Status](https://travis-ci.com/kapoorlab/napatrackmater.svg?branch=master)](https://travis-ci.com/github/kapoorlab/napatrackmater)
[![PyPI version](https://img.shields.io/pypi/v/napatrackmater.svg?maxAge=2591000)](https://pypi.org/project/napatrackmater/)

## Installation
This package can be installed with:

`pip install --user napatrackmater`

If you are building this from the source, clone the repository and install via

```bash
git clone https://github.com/kapoorlab/NapaTrackMater/

cd NapaTrackMater

pip install --user -e .

# or, to install in editable mode AND grab all of the developer tools
# (this is required if you want to contribute code back to NapaTrackMater)
pip install --user -r requirements.txt
```

### Pipenv install

Pipenv allows you to install dependencies in a virtual environment.

```bash
# install pipenv if you don't already have it installed
pip install --user pipenv

# clone the repository and sync the dependencies
git clone https://github.com/kapoorlab/NapaTrackMater/
cd NapaTrackMater
pipenv sync

# make the current package available
pipenv run python setup.py develop

# you can run the example notebooks by starting the jupyter notebook inside the virtual env
pipenv run jupyter notebook
```


## Docker

A Docker image can be used to run the code in a container. Once inside the project's directory, build the image with:

~~~bash
docker build -t kapoorlab/NapaTrackMater .
~~~

Now to run the `track` command:

~~~bash
# show help
docker run --rm -it kapoorlab/NapaTrackMater
# run it with example data
docker run --rm -it -v $(pwd)/examples/data:/input kapoorlab/NapaTrackMater track -f /input -r /input/Raw.tif -s /input/Seg.tif -s /input/Mask.tif -n test
~~~

## Requirements

- Python 3.9 and above.


## License

Under MIT license. See [LICENSE](LICENSE).

## Authors

- Varun Kapoor <randomaccessiblekapoor@gmail.com>
- Mari Tolonen


%package -n python3-napatrackmater
Summary:	Import Trackmate XML files for Track Visualization and analysis in Napari.
Provides:	python-napatrackmater
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-napatrackmater
# NapaTrackMater
Napari Visualization tool for Trackmate > 6.0 and bTrackmate XML files for 3D + time tracks.

This repository is the bridge between the Fiji and Napari world for exporting and viewing the track XML files using [Napari track layer](https://napari.org/tutorials/fundamentals/tracks.html).

[![Build Status](https://travis-ci.com/kapoorlab/napatrackmater.svg?branch=master)](https://travis-ci.com/github/kapoorlab/napatrackmater)
[![PyPI version](https://img.shields.io/pypi/v/napatrackmater.svg?maxAge=2591000)](https://pypi.org/project/napatrackmater/)

## Installation
This package can be installed with:

`pip install --user napatrackmater`

If you are building this from the source, clone the repository and install via

```bash
git clone https://github.com/kapoorlab/NapaTrackMater/

cd NapaTrackMater

pip install --user -e .

# or, to install in editable mode AND grab all of the developer tools
# (this is required if you want to contribute code back to NapaTrackMater)
pip install --user -r requirements.txt
```

### Pipenv install

Pipenv allows you to install dependencies in a virtual environment.

```bash
# install pipenv if you don't already have it installed
pip install --user pipenv

# clone the repository and sync the dependencies
git clone https://github.com/kapoorlab/NapaTrackMater/
cd NapaTrackMater
pipenv sync

# make the current package available
pipenv run python setup.py develop

# you can run the example notebooks by starting the jupyter notebook inside the virtual env
pipenv run jupyter notebook
```


## Docker

A Docker image can be used to run the code in a container. Once inside the project's directory, build the image with:

~~~bash
docker build -t kapoorlab/NapaTrackMater .
~~~

Now to run the `track` command:

~~~bash
# show help
docker run --rm -it kapoorlab/NapaTrackMater
# run it with example data
docker run --rm -it -v $(pwd)/examples/data:/input kapoorlab/NapaTrackMater track -f /input -r /input/Raw.tif -s /input/Seg.tif -s /input/Mask.tif -n test
~~~

## Requirements

- Python 3.9 and above.


## License

Under MIT license. See [LICENSE](LICENSE).

## Authors

- Varun Kapoor <randomaccessiblekapoor@gmail.com>
- Mari Tolonen


%package help
Summary:	Development documents and examples for napatrackmater
Provides:	python3-napatrackmater-doc
%description help
# NapaTrackMater
Napari Visualization tool for Trackmate > 6.0 and bTrackmate XML files for 3D + time tracks.

This repository is the bridge between the Fiji and Napari world for exporting and viewing the track XML files using [Napari track layer](https://napari.org/tutorials/fundamentals/tracks.html).

[![Build Status](https://travis-ci.com/kapoorlab/napatrackmater.svg?branch=master)](https://travis-ci.com/github/kapoorlab/napatrackmater)
[![PyPI version](https://img.shields.io/pypi/v/napatrackmater.svg?maxAge=2591000)](https://pypi.org/project/napatrackmater/)

## Installation
This package can be installed with:

`pip install --user napatrackmater`

If you are building this from the source, clone the repository and install via

```bash
git clone https://github.com/kapoorlab/NapaTrackMater/

cd NapaTrackMater

pip install --user -e .

# or, to install in editable mode AND grab all of the developer tools
# (this is required if you want to contribute code back to NapaTrackMater)
pip install --user -r requirements.txt
```

### Pipenv install

Pipenv allows you to install dependencies in a virtual environment.

```bash
# install pipenv if you don't already have it installed
pip install --user pipenv

# clone the repository and sync the dependencies
git clone https://github.com/kapoorlab/NapaTrackMater/
cd NapaTrackMater
pipenv sync

# make the current package available
pipenv run python setup.py develop

# you can run the example notebooks by starting the jupyter notebook inside the virtual env
pipenv run jupyter notebook
```


## Docker

A Docker image can be used to run the code in a container. Once inside the project's directory, build the image with:

~~~bash
docker build -t kapoorlab/NapaTrackMater .
~~~

Now to run the `track` command:

~~~bash
# show help
docker run --rm -it kapoorlab/NapaTrackMater
# run it with example data
docker run --rm -it -v $(pwd)/examples/data:/input kapoorlab/NapaTrackMater track -f /input -r /input/Raw.tif -s /input/Seg.tif -s /input/Mask.tif -n test
~~~

## Requirements

- Python 3.9 and above.


## License

Under MIT license. See [LICENSE](LICENSE).

## Authors

- Varun Kapoor <randomaccessiblekapoor@gmail.com>
- Mari Tolonen


%prep
%autosetup -n napatrackmater-3.5.4

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-napatrackmater -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 3.5.4-1
- Package Spec generated