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%global _empty_manifest_terminate_build 0
Name: python-cirrocumulus
Version: 1.1.51
Release: 1
Summary: Bring your single-cell data to life
License: BSD 3-Clause License Copyright (c) 2022, klarman-cell-observatory All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
URL: https://pypi.org/project/cirrocumulus/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bd/a7/f031dd313089ab0461da1c75fdf2d28383579ae926adc31b7011b628c3c1/cirrocumulus-1.1.51.tar.gz
BuildArch: noarch
Requires: python3-anndata
Requires: python3-cachecontrol
Requires: python3-flask
Requires: python3-flask-compress
Requires: python3-fsspec
Requires: python3-gunicorn
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-pymongo
Requires: python3-requests
Requires: python3-scipy
Requires: python3-zarr
Requires: python3-pyarrow
Requires: python3-mongomock
Requires: python3-pytest
Requires: python3-scanpy
%description
Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:
* Easily deploy on a laptop, on-premise server, cloud VM, or Google App Engine
* View spatial transcriptomics data overlaid on an image
* Share the current visualization state in a URL
* Share datasets securely with collaborators
* Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression
* Generate composition plots to inspect cluster makeup
* Explore complete differential expression results generated by `Scanpy`_ or `Pegasus`_/`Cumulus`_
* Interactively create and share “AND” or “OR” filters
* Collaboratively annotate cell types in real time (optionally using a controlled vocabulary)
* Quickly load multiple features from predefined lists (`see example`_)
* Explore multiple features and embeddings simultaneously
* Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools
* Save publication quality images
* Visualize datasets in h5ad_, loom_, Seurat_, TileDB_, zarr_, or `STAR-Fusion`_ formats
* Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points
%package -n python3-cirrocumulus
Summary: Bring your single-cell data to life
Provides: python-cirrocumulus
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cirrocumulus
Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:
* Easily deploy on a laptop, on-premise server, cloud VM, or Google App Engine
* View spatial transcriptomics data overlaid on an image
* Share the current visualization state in a URL
* Share datasets securely with collaborators
* Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression
* Generate composition plots to inspect cluster makeup
* Explore complete differential expression results generated by `Scanpy`_ or `Pegasus`_/`Cumulus`_
* Interactively create and share “AND” or “OR” filters
* Collaboratively annotate cell types in real time (optionally using a controlled vocabulary)
* Quickly load multiple features from predefined lists (`see example`_)
* Explore multiple features and embeddings simultaneously
* Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools
* Save publication quality images
* Visualize datasets in h5ad_, loom_, Seurat_, TileDB_, zarr_, or `STAR-Fusion`_ formats
* Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points
%package help
Summary: Development documents and examples for cirrocumulus
Provides: python3-cirrocumulus-doc
%description help
Cirrocumulus is an interactive visualization tool for large-scale single-cell genomics data, with the following features:
* Easily deploy on a laptop, on-premise server, cloud VM, or Google App Engine
* View spatial transcriptomics data overlaid on an image
* Share the current visualization state in a URL
* Share datasets securely with collaborators
* Create dotplots, heatmaps, and violin plots to explore relationships between categorical variables and expression
* Generate composition plots to inspect cluster makeup
* Explore complete differential expression results generated by `Scanpy`_ or `Pegasus`_/`Cumulus`_
* Interactively create and share “AND” or “OR” filters
* Collaboratively annotate cell types in real time (optionally using a controlled vocabulary)
* Quickly load multiple features from predefined lists (`see example`_)
* Explore multiple features and embeddings simultaneously
* Fast interactive exploration of 2 and 3-d embeddings of millions of cells, including zoom, pan, rotate (3-d), and lasso tools
* Save publication quality images
* Visualize datasets in h5ad_, loom_, Seurat_, TileDB_, zarr_, or `STAR-Fusion`_ formats
* Highly customizable - for example, set the color map, point size, or whether to use fog for 3-d embeddings to fade distant points
%prep
%autosetup -n cirrocumulus-1.1.51
%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-cirrocumulus -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.51-1
- Package Spec generated
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