automatic import of python-brailsopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/BRAILS-3.0.1.tar.gz
diff --git a/python-brails.spec b/python-brails.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-BRAILS
+Version:	3.0.1
+Release:	1
+Summary:	Building Recognition Using AI at Large-Scale
+License:	BSD 3-Clause
+URL:		https://github.com/NHERI-SimCenter/BRAILS
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f8/0c/9f3c76990a0ab965337435f2b2d57d202d880a5731b6f54eb477a28c5b87/BRAILS-3.0.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+
+
+## What is BRAILS?
+
+BRAILS (Building Recognition using AI at Large-Scale) provides a set of Python modules that utilize deep learning (DL), and computer vision (CV) techniques to extract information from satellite and street level images. The BRAILS framework also provides turn-key applications allowing users to put individual modules together to determine multiple attributes in a single pass or train general-purpose image classification, object detection, or semantic segmentation models.
+
+## Documentation
+
+Online documentation is available at <a href="https://nheri-simcenter.github.io/BRAILS-Documentation/index.html">https://nheri-simcenter.github.io/BRAILS-Documentation</a>.
+
+## Quickstart
+
+### Installation
+
+
+The easiest way to install the latest version of BRAILS is using ``pip``:
+```
+pip install git+https://github.com/NHERI-SimCenter/BRAILS
+```
+
+### Example: InventoryGenerator Workflow
+
+This example demonstrates how to use the ``InventoryGenerator`` method embedded in BRAILS to generate regional-level inventories. 
+
+The primary input to ``InventoryGenerator`` is location. ``InventoryGenerator`` accepts four different location input: 1) region name, 2) list of region names, 3) bounding box of a region, 4) A GeoJSON file containing building footprints.
+
+Please note that you will need a Google API Key to run ``InventoryGenerator``.
+
+```python
+#import InventoryGenerator:
+from brails.InventoryGenerator import InventoryGenerator
+
+# Initialize InventoryGenerator:
+invGenerator = InventoryGenerator(location='Berkeley, CA',
+                                  nbldgs=100, randomSelection=True,
+                                  GoogleAPIKey="")
+
+# Run InventoryGenerator to generate an inventory for the entered location:
+# To run InventoryGenerator for all enabled attributes set attributes='all':
+invGenerator.generate(attributes=['numstories','roofshape','buildingheight'])
+
+# View generated inventory:
+invGenerator.inventory
+
+```
+
+## Acknowledgements
+
+This work is based on material supported by the National Science Foundation under grants CMMI 1612843 and CMMI 2131111.
+
+
+## Contact
+
+NHERI-SimCenter nheri-simcenter@berkeley.edu
+
+## How to cite
+
+```
+@software{cetiner_2022_7132010,
+  author       = {Barbaros Cetiner and
+                  Charles Wang and
+                  Frank McKenna and
+                  Sascha Hornauer and
+                  Yunhui Guo},
+  title        = {BRAILS Release v3.0.0},
+  month        = sep,
+  year         = 2022,
+  note         = {{This work is based on material supported by the 
+                   National Science Foundation under grants CMMI
+                   1612843 and CMMI 2131111}},
+  publisher    = {Zenodo},
+  version      = {v3.0.0},
+  doi          = {10.5281/zenodo.7132010},
+  url          = {https://doi.org/10.5281/zenodo.7132010}
+}
+```
+
+
+
+
+%package -n python3-BRAILS
+Summary:	Building Recognition Using AI at Large-Scale
+Provides:	python-BRAILS
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-BRAILS
+
+
+## What is BRAILS?
+
+BRAILS (Building Recognition using AI at Large-Scale) provides a set of Python modules that utilize deep learning (DL), and computer vision (CV) techniques to extract information from satellite and street level images. The BRAILS framework also provides turn-key applications allowing users to put individual modules together to determine multiple attributes in a single pass or train general-purpose image classification, object detection, or semantic segmentation models.
+
+## Documentation
+
+Online documentation is available at <a href="https://nheri-simcenter.github.io/BRAILS-Documentation/index.html">https://nheri-simcenter.github.io/BRAILS-Documentation</a>.
+
+## Quickstart
+
+### Installation
+
+
+The easiest way to install the latest version of BRAILS is using ``pip``:
+```
+pip install git+https://github.com/NHERI-SimCenter/BRAILS
+```
+
+### Example: InventoryGenerator Workflow
+
+This example demonstrates how to use the ``InventoryGenerator`` method embedded in BRAILS to generate regional-level inventories. 
+
+The primary input to ``InventoryGenerator`` is location. ``InventoryGenerator`` accepts four different location input: 1) region name, 2) list of region names, 3) bounding box of a region, 4) A GeoJSON file containing building footprints.
+
+Please note that you will need a Google API Key to run ``InventoryGenerator``.
+
+```python
+#import InventoryGenerator:
+from brails.InventoryGenerator import InventoryGenerator
+
+# Initialize InventoryGenerator:
+invGenerator = InventoryGenerator(location='Berkeley, CA',
+                                  nbldgs=100, randomSelection=True,
+                                  GoogleAPIKey="")
+
+# Run InventoryGenerator to generate an inventory for the entered location:
+# To run InventoryGenerator for all enabled attributes set attributes='all':
+invGenerator.generate(attributes=['numstories','roofshape','buildingheight'])
+
+# View generated inventory:
+invGenerator.inventory
+
+```
+
+## Acknowledgements
+
+This work is based on material supported by the National Science Foundation under grants CMMI 1612843 and CMMI 2131111.
+
+
+## Contact
+
+NHERI-SimCenter nheri-simcenter@berkeley.edu
+
+## How to cite
+
+```
+@software{cetiner_2022_7132010,
+  author       = {Barbaros Cetiner and
+                  Charles Wang and
+                  Frank McKenna and
+                  Sascha Hornauer and
+                  Yunhui Guo},
+  title        = {BRAILS Release v3.0.0},
+  month        = sep,
+  year         = 2022,
+  note         = {{This work is based on material supported by the 
+                   National Science Foundation under grants CMMI
+                   1612843 and CMMI 2131111}},
+  publisher    = {Zenodo},
+  version      = {v3.0.0},
+  doi          = {10.5281/zenodo.7132010},
+  url          = {https://doi.org/10.5281/zenodo.7132010}
+}
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for BRAILS
+Provides:	python3-BRAILS-doc
+%description help
+
+
+## What is BRAILS?
+
+BRAILS (Building Recognition using AI at Large-Scale) provides a set of Python modules that utilize deep learning (DL), and computer vision (CV) techniques to extract information from satellite and street level images. The BRAILS framework also provides turn-key applications allowing users to put individual modules together to determine multiple attributes in a single pass or train general-purpose image classification, object detection, or semantic segmentation models.
+
+## Documentation
+
+Online documentation is available at <a href="https://nheri-simcenter.github.io/BRAILS-Documentation/index.html">https://nheri-simcenter.github.io/BRAILS-Documentation</a>.
+
+## Quickstart
+
+### Installation
+
+
+The easiest way to install the latest version of BRAILS is using ``pip``:
+```
+pip install git+https://github.com/NHERI-SimCenter/BRAILS
+```
+
+### Example: InventoryGenerator Workflow
+
+This example demonstrates how to use the ``InventoryGenerator`` method embedded in BRAILS to generate regional-level inventories. 
+
+The primary input to ``InventoryGenerator`` is location. ``InventoryGenerator`` accepts four different location input: 1) region name, 2) list of region names, 3) bounding box of a region, 4) A GeoJSON file containing building footprints.
+
+Please note that you will need a Google API Key to run ``InventoryGenerator``.
+
+```python
+#import InventoryGenerator:
+from brails.InventoryGenerator import InventoryGenerator
+
+# Initialize InventoryGenerator:
+invGenerator = InventoryGenerator(location='Berkeley, CA',
+                                  nbldgs=100, randomSelection=True,
+                                  GoogleAPIKey="")
+
+# Run InventoryGenerator to generate an inventory for the entered location:
+# To run InventoryGenerator for all enabled attributes set attributes='all':
+invGenerator.generate(attributes=['numstories','roofshape','buildingheight'])
+
+# View generated inventory:
+invGenerator.inventory
+
+```
+
+## Acknowledgements
+
+This work is based on material supported by the National Science Foundation under grants CMMI 1612843 and CMMI 2131111.
+
+
+## Contact
+
+NHERI-SimCenter nheri-simcenter@berkeley.edu
+
+## How to cite
+
+```
+@software{cetiner_2022_7132010,
+  author       = {Barbaros Cetiner and
+                  Charles Wang and
+                  Frank McKenna and
+                  Sascha Hornauer and
+                  Yunhui Guo},
+  title        = {BRAILS Release v3.0.0},
+  month        = sep,
+  year         = 2022,
+  note         = {{This work is based on material supported by the 
+                   National Science Foundation under grants CMMI
+                   1612843 and CMMI 2131111}},
+  publisher    = {Zenodo},
+  version      = {v3.0.0},
+  doi          = {10.5281/zenodo.7132010},
+  url          = {https://doi.org/10.5281/zenodo.7132010}
+}
+```
+
+
+
+
+%prep
+%autosetup -n BRAILS-3.0.1
+
+%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-BRAILS -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d1108f7
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+eca19e91ac39a5f61c889d8dab44ee3a  BRAILS-3.0.1.tar.gz