%global _empty_manifest_terminate_build 0
Name: python-yt
Version: 4.1.4
Release: 1
Summary: An analysis and visualization toolkit for volumetric data
License: BSD 3-Clause
URL: https://yt-project.org/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4e/4a/c21cf26bd7f51ec7b2d4445bb60fd667c2fe28faa76cb996e7dca2e42deb/yt-4.1.4.tar.gz
Requires: python3-cmyt
Requires: python3-ipywidgets
Requires: python3-matplotlib
Requires: python3-more-itertools
Requires: python3-numpy
Requires: python3-packaging
Requires: python3-pillow
Requires: python3-pyparsing
Requires: python3-tomli-w
Requires: python3-tqdm
Requires: python3-unyt
Requires: python3-tomli
Requires: python3-importlib-metadata
Requires: python3-typing-extensions
Requires: python3-alabaster
Requires: python3-bottle
Requires: python3-jinja2
Requires: python3-jupyter-client
Requires: python3-nbconvert
Requires: python3-pyregion
Requires: python3-pyx
Requires: python3-runnotebook
Requires: python3-scipy
Requires: python3-sphinx
Requires: python3-sphinx-bootstrap-theme
Requires: python3-sphinx-rtd-theme
Requires: python3-arm-pyart
Requires: python3-astropy
Requires: python3-f90nml
Requires: python3-firefly
Requires: python3-glueviz
Requires: python3-h5py
Requires: python3-ipython
Requires: python3-libconf
Requires: python3-miniballcpp
Requires: python3-mpi4py
Requires: python3-netCDF4
Requires: python3-pandas
Requires: python3-pooch
Requires: python3-pyaml
Requires: python3-pykdtree
Requires: python3-pyqt5
Requires: python3-pyx
Requires: python3-requests
Requires: python3-scipy
Requires: python3-xarray
Requires: python3-ratarmount
Requires: python3-glue-core
Requires: python3-bottle
Requires: python3-cmyt
Requires: python3-ipywidgets
Requires: python3-matplotlib
Requires: python3-more-itertools
Requires: python3-numpy
Requires: python3-pillow
Requires: python3-pyparsing
Requires: python3-tomli-w
Requires: python3-unyt
Requires: python3-tomli
Requires: python3-importlib-metadata
Requires: python3-nose
Requires: python3-nose-exclude
Requires: python3-nose-timer
Requires: python3-pyaml
Requires: python3-pytest
Requires: python3-sympy
Requires: python3-mypy
Requires: python3-types-PyYAML
Requires: python3-types-chardet
Requires: python3-types-requests
Requires: python3-types-setuptools
%description
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%package -n python3-yt
Summary: An analysis and visualization toolkit for volumetric data
Provides: python-yt
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-yt
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%package help
Summary: Development documents and examples for yt
Provides: python3-yt-doc
%description help
# The yt Project
[](https://pypi.org/project/yt)
[](https://pypi.org/project/yt/)
[](http://yt-project.org/docs/dev/)
[](https://mail.python.org/archives/list/yt-users@python.org//)
[](https://mail.python.org/archives/list/yt-dev@python.org//)
[](https://hub.yt/)
[](http://numfocus.org)
[](https://numfocus.salsalabs.org/donate-to-yt/index.html)
[](https://github.com/yt-project/yt/actions/workflows/build-test.yaml)
[](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml)
[](https://results.pre-commit.ci/latest/github/yt-project/yt/main)
[](https://github.com/psf/black)
[](https://pycqa.github.io/isort/)
yt is an open-source, permissively-licensed Python library for analyzing and
visualizing volumetric data.
yt supports structured, variable-resolution meshes, unstructured meshes, and
discrete or sampled data such as particles. Focused on driving
physically-meaningful inquiry, yt has been applied in domains such as
astrophysics, seismology, nuclear engineering, molecular dynamics, and
oceanography. Composed of a friendly community of users and developers, we want
to make it easy to use and develop - we'd love it if you got involved!
We've written a [method
paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested
in; if you use yt in the preparation of a publication, please consider citing
it.
## Code of Conduct
yt abides by a code of conduct partially modified from the PSF code of conduct,
and is found [in our contributing
guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct).
## Installation
You can install the most recent stable version of yt either with conda from
[conda-forge](https://conda-forge.org/):
```shell
conda install -c conda-forge yt
```
or with pip:
```shell
python -m pip install yt
```
More information on the various ways to install yt, and in particular to install from source,
can be found on [the project's website](https://yt-project.org/docs/dev/installing.html).
## Getting Started
yt is designed to provide meaningful analysis of data. We have some Quickstart
example notebooks in the repository:
* [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb)
* [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb)
* [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb)
* [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb)
* [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/5\)_Derived_Fields_and_Profiles.ipynb)
* [Volume Rendering](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/6\)_Volume_Rendering.ipynb)
If you'd like to try these online, you can visit our [yt Hub](https://hub.yt/)
and run a notebook next to some of our example data.
## Contributing
We love contributions! yt is open source, built on open source, and we'd love
to have you hang out in our community.
We have developed some [guidelines](CONTRIBUTING.rst) for contributing to yt.
**Imposter syndrome disclaimer**: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not
ready to be an open source contributor; that your skills aren't nearly good
enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at
all, you can contribute code to open source. Contributing to open source
projects is a fantastic way to advance one's coding skills. Writing perfect code
isn't the measure of a good developer (that would disqualify all of us!); it's
trying to create something, making mistakes, and learning from those
mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can
help out by writing documentation, tests, or even giving feedback about the
project (and yes - that includes giving feedback about the contribution
process). Some of these contributions may be the most valuable to the project as
a whole, because you're coming to the project with fresh eyes, so you can see
the errors and assumptions that seasoned contributors have glossed over.
(This disclaimer was originally written by
[Adrienne Lowe](https://github.com/adriennefriend) for a
[PyCon talk](https://www.youtube.com/watch?v=6Uj746j9Heo), and was adapted by yt
based on its use in the README file for the
[MetPy project](https://github.com/Unidata/MetPy))
## Resources
We have some community and documentation resources available.
* Our latest documentation is always at http://yt-project.org/docs/dev/ and it
includes recipes, tutorials, and API documentation
* The [discussion mailing
list](https://mail.python.org/archives/list/yt-users@python.org//)
should be your first stop for general questions
* The [development mailing
list](https://mail.python.org/archives/list/yt-dev@python.org//) is
better suited for more development issues
* You can also join us on Slack at yt-project.slack.com ([request an
invite](https://yt-project.org/slack.html))
Is your code compatible with yt ? Great ! Please consider giving us a shoutout as a shiny badge in your README
- markdown
```markdown
[![yt-project](https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet")](https://yt-project.org)
```
- rst
```reStructuredText
|yt-project|
.. |yt-project| image:: https://img.shields.io/static/v1?label="works%20with"&message="yt"&color="blueviolet"
:target: https://yt-project.org
```
## Powered by NumFOCUS
yt is a fiscally sponsored project of [NumFOCUS](https://numfocus.org/).
If you're interested in
supporting the active maintenance and development of this project, consider
[donating to the project](https://numfocus.salsalabs.org/donate-to-yt/index.html).
%prep
%autosetup -n yt-4.1.4
%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-yt -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot - 4.1.4-1
- Package Spec generated