From 00765ebc8f23f75393d34ad825d900b5ea058e58 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Fri, 5 May 2023 08:26:09 +0000 Subject: automatic import of python-scimap --- .gitignore | 1 + python-scimap.spec | 255 +++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 257 insertions(+) create mode 100644 python-scimap.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..d9f2a14 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/scimap-1.1.0.tar.gz diff --git a/python-scimap.spec b/python-scimap.spec new file mode 100644 index 0000000..666de3f --- /dev/null +++ b/python-scimap.spec @@ -0,0 +1,255 @@ +%global _empty_manifest_terminate_build 0 +Name: python-scimap +Version: 1.1.0 +Release: 1 +Summary: Spatial Single-Cell Analysis Toolkit +License: MIT +URL: https://pypi.org/project/scimap/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/dc/df/9fbc541d80ff9ced659aa755c8bc0107a29bb1e4d20f97928b3691bc64aa/scimap-1.1.0.tar.gz +BuildArch: noarch + +Requires: python3-pytest +Requires: python3-anndata +Requires: python3-pandas +Requires: python3-scipy +Requires: python3-seaborn +Requires: python3-tifffile +Requires: python3-numpy +Requires: python3-pytest-xvfb +Requires: python3-matplotlib +Requires: python3-PhenoGraph +Requires: python3-scanpy +Requires: python3-mkdocs +Requires: python3-plotly +Requires: python3-TiffFile +Requires: python3-dask[array] +Requires: python3-zarr +Requires: python3-napari +Requires: python3-numba +Requires: python3-shapely +Requires: python3-gensim +Requires: python3-mkdocs-material +Requires: python3-napari-ome-zarr +Requires: python3-llvmlite +Requires: python3-combat + +%description +# Single-Cell Image Analysis Package +
+ +[![build: Unix-Mac-Win](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml) +[![Docs](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml) +[![Downloads](https://pepy.tech/badge/scimap)](https://pepy.tech/project/scimap) +[![PyPI Version](https://img.shields.io/pypi/v/scimap.svg)](https://pypi.org/project/scimap) +[![PyPI License](https://img.shields.io/pypi/l/scimap.svg)](https://pypi.org/project/scimap) +[![Gitter chat](https://badges.gitter.im/scimap_io/community.png)](https://gitter.im/scimap_io/community) +[![DOI](https://zenodo.org/badge/271099296.svg)](https://zenodo.org/badge/latestdoi/271099296) + +
+ + + +
+ +Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the [anndata](https://anndata.readthedocs.io/en/stable/anndata.AnnData.html) framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with large datasets of millions of cells. + +## Installation + +We strongly recommend installing `scimap` in a fresh virtual environment. + +``` +# If you have conda installed +conda create --name scimap python=3.8 +conda activate scimap +``` + +Install `scimap` directly into an activated virtual environment: + +```python +$ pip install scimap +``` + +After installation, the package can be imported as: + +```python +$ python +>>> import scimap as sm +``` + + +## Get Started + + +#### Detailed documentation of `scimap` functions and tutorials are available [here](http://scimap.xyz/). + +*SCIMAP* development is led by [Ajit Johnson Nirmal](https://ajitjohnson.com/) at the Laboratory of Systems Pharmacology, Harvard Medical School. + +## Funding +This work is supported by the following NIH grant K99-CA256497 + + + +%package -n python3-scimap +Summary: Spatial Single-Cell Analysis Toolkit +Provides: python-scimap +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-scimap +# Single-Cell Image Analysis Package +
+ +[![build: Unix-Mac-Win](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml) +[![Docs](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml) +[![Downloads](https://pepy.tech/badge/scimap)](https://pepy.tech/project/scimap) +[![PyPI Version](https://img.shields.io/pypi/v/scimap.svg)](https://pypi.org/project/scimap) +[![PyPI License](https://img.shields.io/pypi/l/scimap.svg)](https://pypi.org/project/scimap) +[![Gitter chat](https://badges.gitter.im/scimap_io/community.png)](https://gitter.im/scimap_io/community) +[![DOI](https://zenodo.org/badge/271099296.svg)](https://zenodo.org/badge/latestdoi/271099296) + +
+ + + +
+ +Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the [anndata](https://anndata.readthedocs.io/en/stable/anndata.AnnData.html) framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with large datasets of millions of cells. + +## Installation + +We strongly recommend installing `scimap` in a fresh virtual environment. + +``` +# If you have conda installed +conda create --name scimap python=3.8 +conda activate scimap +``` + +Install `scimap` directly into an activated virtual environment: + +```python +$ pip install scimap +``` + +After installation, the package can be imported as: + +```python +$ python +>>> import scimap as sm +``` + + +## Get Started + + +#### Detailed documentation of `scimap` functions and tutorials are available [here](http://scimap.xyz/). + +*SCIMAP* development is led by [Ajit Johnson Nirmal](https://ajitjohnson.com/) at the Laboratory of Systems Pharmacology, Harvard Medical School. + +## Funding +This work is supported by the following NIH grant K99-CA256497 + + + +%package help +Summary: Development documents and examples for scimap +Provides: python3-scimap-doc +%description help +# Single-Cell Image Analysis Package +
+ +[![build: Unix-Mac-Win](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/build-unix-mac-win.yml) +[![Docs](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml/badge.svg)](https://github.com/ajitjohnson/scimap/actions/workflows/docs.yml) +[![Downloads](https://pepy.tech/badge/scimap)](https://pepy.tech/project/scimap) +[![PyPI Version](https://img.shields.io/pypi/v/scimap.svg)](https://pypi.org/project/scimap) +[![PyPI License](https://img.shields.io/pypi/l/scimap.svg)](https://pypi.org/project/scimap) +[![Gitter chat](https://badges.gitter.im/scimap_io/community.png)](https://gitter.im/scimap_io/community) +[![DOI](https://zenodo.org/badge/271099296.svg)](https://zenodo.org/badge/latestdoi/271099296) + +
+ + + +
+ +Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spatial datasets mapped to XY coordinates. The package uses the [anndata](https://anndata.readthedocs.io/en/stable/anndata.AnnData.html) framework making it easy to integrate with other popular single-cell analysis toolkits. It includes preprocessing, phenotyping, visualization, clustering, spatial analysis and differential spatial testing. The Python-based implementation efficiently deals with large datasets of millions of cells. + +## Installation + +We strongly recommend installing `scimap` in a fresh virtual environment. + +``` +# If you have conda installed +conda create --name scimap python=3.8 +conda activate scimap +``` + +Install `scimap` directly into an activated virtual environment: + +```python +$ pip install scimap +``` + +After installation, the package can be imported as: + +```python +$ python +>>> import scimap as sm +``` + + +## Get Started + + +#### Detailed documentation of `scimap` functions and tutorials are available [here](http://scimap.xyz/). + +*SCIMAP* development is led by [Ajit Johnson Nirmal](https://ajitjohnson.com/) at the Laboratory of Systems Pharmacology, Harvard Medical School. + +## Funding +This work is supported by the following NIH grant K99-CA256497 + + + +%prep +%autosetup -n scimap-1.1.0 + +%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-scimap -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot - 1.1.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..d209c70 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +c47ccdf5335273c8049302fa84c3ac92 scimap-1.1.0.tar.gz -- cgit v1.2.3