%global _empty_manifest_terminate_build 0 Name: python-webknossos Version: 0.12.5 Release: 1 Summary: Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interaction. License: AGPL-3.0 URL: https://docs.webknossos.org/webknossos-py Source0: https://mirrors.aliyun.com/pypi/web/packages/59/50/a20646236f3a67fb8d30300508a78b64019be0c042856980405cff91476d/webknossos-0.12.5.tar.gz BuildArch: noarch Requires: python3-aiohttp Requires: python3-attrs Requires: python3-boltons Requires: python3-cattrs Requires: python3-cluster_tools Requires: python3-fsspec Requires: python3-httpx Requires: python3-loxun Requires: python3-natsort Requires: python3-networkx Requires: python3-numcodecs Requires: python3-numpy Requires: python3-psutil Requires: python3-dateutil Requires: python3-dotenv Requires: python3-rich Requires: python3-scikit-image Requires: python3-scipy Requires: python3-typing-extensions Requires: python3-universal-pathlib Requires: python3-wkw Requires: python3-zarr Requires: python3-zipp Requires: python3-imagecodecs Requires: python3-JPype1 Requires: python3-pims Requires: python3-tifffile Requires: python3-pylibCZIrw %description # WEBKNOSSOS Python Library [![PyPI version](https://img.shields.io/pypi/v/webknossos)](https://pypi.python.org/pypi/webknossos) [![Supported Python Versions](https://img.shields.io/pypi/pyversions/webknossos.svg)](https://pypi.python.org/pypi/webknossos) [![Build Status](https://img.shields.io/github/actions/workflow/status/scalableminds/webknossos-libs/.github/workflows/ci.yml?branch=master)](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22) [![Documentation](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://docs.webknossos.org/webknossos-py) [![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction. For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos. ## Features - easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format - add/remove layers - update metadata (`datasource-properties.json`) - up/downsample layers - compress layers - add/remove magnifications - execute any of the `wkCuber` operations from your code - manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects - access to nodes, comments, trees, bounding boxes, metadata, etc. - create new skeleton annotation from Graph structures or Python objects - interaction, connection & scripting with your WEBKNOSSOS instance over the REST API - up- & downloading annotations and datasets Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py). ## Installation The `webknossos` package requires at least Python 3.8. You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip: ```bash pip install webknossos ``` ## Examples See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py). ## Contributions & Development Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html). ## License [AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html) Copyright [scalable minds](https://scalableminds.com) ## Test Data Credits Excerpts for testing purposes have been sampled from: * Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988) * Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) * Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6) %package -n python3-webknossos Summary: Python API for working with WEBKNOSSOS datasets, annotations, and for WEBKNOSSOS server interaction. Provides: python-webknossos BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-webknossos # WEBKNOSSOS Python Library [![PyPI version](https://img.shields.io/pypi/v/webknossos)](https://pypi.python.org/pypi/webknossos) [![Supported Python Versions](https://img.shields.io/pypi/pyversions/webknossos.svg)](https://pypi.python.org/pypi/webknossos) [![Build Status](https://img.shields.io/github/actions/workflow/status/scalableminds/webknossos-libs/.github/workflows/ci.yml?branch=master)](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22) [![Documentation](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://docs.webknossos.org/webknossos-py) [![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction. For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos. ## Features - easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format - add/remove layers - update metadata (`datasource-properties.json`) - up/downsample layers - compress layers - add/remove magnifications - execute any of the `wkCuber` operations from your code - manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects - access to nodes, comments, trees, bounding boxes, metadata, etc. - create new skeleton annotation from Graph structures or Python objects - interaction, connection & scripting with your WEBKNOSSOS instance over the REST API - up- & downloading annotations and datasets Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py). ## Installation The `webknossos` package requires at least Python 3.8. You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip: ```bash pip install webknossos ``` ## Examples See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py). ## Contributions & Development Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html). ## License [AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html) Copyright [scalable minds](https://scalableminds.com) ## Test Data Credits Excerpts for testing purposes have been sampled from: * Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988) * Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) * Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6) %package help Summary: Development documents and examples for webknossos Provides: python3-webknossos-doc %description help # WEBKNOSSOS Python Library [![PyPI version](https://img.shields.io/pypi/v/webknossos)](https://pypi.python.org/pypi/webknossos) [![Supported Python Versions](https://img.shields.io/pypi/pyversions/webknossos.svg)](https://pypi.python.org/pypi/webknossos) [![Build Status](https://img.shields.io/github/actions/workflow/status/scalableminds/webknossos-libs/.github/workflows/ci.yml?branch=master)](https://github.com/scalableminds/webknossos-libs/actions?query=workflow%3A%22CI%22) [![Documentation](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://docs.webknossos.org/webknossos-py) [![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) Python API for working with [WEBKNOSSOS](https://webknossos.org) datasets, annotations, and for WEBKNOSSOS server interaction. For the WEBKNOSSOS server, please refer to https://github.com/scalableminds/webknossos. ## Features - easy-to-use dataset API for reading/writing/editing raw 2D/3D image data and volume annotations/segmentation in WEBKNOSSOS wrap (*.wkw) format - add/remove layers - update metadata (`datasource-properties.json`) - up/downsample layers - compress layers - add/remove magnifications - execute any of the `wkCuber` operations from your code - manipulation of WEBKNOSSOS skeleton annotations (*.nml) as Python objects - access to nodes, comments, trees, bounding boxes, metadata, etc. - create new skeleton annotation from Graph structures or Python objects - interaction, connection & scripting with your WEBKNOSSOS instance over the REST API - up- & downloading annotations and datasets Please refer to [the documentation for further instructions](https://docs.webknossos.org/webknossos-py). ## Installation The `webknossos` package requires at least Python 3.8. You can install it from [pypi](https://pypi.org/project/webknossos/), e.g. via pip: ```bash pip install webknossos ``` ## Examples See the [examples folder](examples) or the [the documentation](https://docs.webknossos.org/webknossos-py). ## Contributions & Development Please see the [respective documentation page](https://docs.webknossos.org/webknossos-py/development.html). ## License [AGPLv3](https://www.gnu.org/licenses/agpl-3.0.html) Copyright [scalable minds](https://scalableminds.com) ## Test Data Credits Excerpts for testing purposes have been sampled from: * Dow Jacobo Hossain Siletti Hudspeth (2018). **Connectomics of the zebrafish's lateral-line neuromast reveals wiring and miswiring in a simple microcircuit.** eLife. [DOI:10.7554/eLife.33988](https://elifesciences.org/articles/33988) * Zheng Lauritzen Perlman Robinson Nichols Milkie Torrens Price Fisher Sharifi Calle-Schuler Kmecova Ali Karsh Trautman Bogovic Hanslovsky Jefferis Kazhdan Khairy Saalfeld Fetter Bock (2018). **A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.** Cell. [DOI:10.1016/j.cell.2018.06.019](https://www.cell.com/cell/fulltext/S0092-8674(18)30787-6). License: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) * Bosch Ackels Pacureanu et al (2022). **Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.** Nature Communications. [DOI:10.1038/s41467-022-30199-6](https://www.nature.com/articles/s41467-022-30199-6) %prep %autosetup -n webknossos-0.12.5 %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-webknossos -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 0.12.5-1 - Package Spec generated