automatic import of python-lyft-dataset-sdkopeneuler20.03

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+/lyft_dataset_sdk-0.0.8.tar.gz
diff --git a/python-lyft-dataset-sdk.spec b/python-lyft-dataset-sdk.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-lyft-dataset-sdk
+Version:	0.0.8
+Release:	1
+Summary:	SDK for Lyft dataset.
+License:	Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
+URL:		https://github.com/lyft/nuscenes-devkit
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/ae/89/4713e7e8dbdf91ddf25276ccd3781b7558f06cfdc1c6b0e6ec7a614083de/lyft_dataset_sdk-0.0.8.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-flake8
+Requires:	python3-numpy
+Requires:	python3-opencv-python
+Requires:	python3-Pillow
+Requires:	python3-pyquaternion
+Requires:	python3-scikit-learn
+Requires:	python3-tqdm
+Requires:	python3-scipy
+Requires:	python3-cachetools
+Requires:	python3-Shapely
+Requires:	python3-fire
+Requires:	python3-pytest
+Requires:	python3-black
+Requires:	python3-matplotlib
+Requires:	python3-pandas
+Requires:	python3-plotly
+Requires:	python3-pytest
+
+%description
+# Lyft Dataset SDK
+
+Welcome to the devkit for the [Lyft Level 5 AV dataset](https://level5.lyft.com/dataset/)! This devkit shall help you to visualise and explore our dataset.
+
+
+## Release Notes
+This devkit is based on a version of the [nuScenes devkit](https://www.nuscenes.org).
+
+## Getting Started
+
+### Installation
+
+You can use pip to install [lyft-dataset-sdk](https://pypi.org/project/lyft-dataset-sdk/):
+```bash
+pip install -U lyft_dataset_sdk
+```
+
+If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:
+
+```bash
+pip install -U git+https://github.com/lyft/nuscenes-devkit
+```
+
+### Dataset Download
+Go to <https://level5.lyft.com/dataset/> to download the Lyft Level 5 AV Dataset.
+
+
+The dataset is also availible as a part of the [Lyft 3D Object Detection for Autonomous Vehicles Challenge](https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles).
+
+### Tutorial and Reference Model
+Check out the [tutorial and reference model README](notebooks/README.md).
+
+![](notebooks/media/001.gif)
+
+
+# Dataset structure
+
+The dataset contains of json files:
+
+1. `scene.json` - 25-45 seconds snippet of a car's journey.
+2. `sample.json` - An annotated snapshot of a scene at a particular timestamp.
+3. `sample_data.json` - Data collected from a particular sensor.
+4. `sample_annotation.json` - An annotated instance of an object within our interest.
+5. `instance.json` - Enumeration of all object instance we observed.
+6. `category.json` - Taxonomy of object categories (e.g. vehicle, human).
+7. `attribute.json` - Property of an instance that can change while the category remains the same.
+8. `visibility.json` - (currently not used)
+9. `sensor.json` - A specific sensor type.
+10. `calibrated_sensor.json` - Definition of a particular sensor as calibrated on a particular vehicle.
+11. `ego_pose.json` - Ego vehicle poses at a particular timestamp.
+12. `log.json` - Log information from which the data was extracted.
+13. `map.json` - Map data that is stored as binary semantic masks from a top-down view.
+
+
+With [the schema](schema.md).
+
+# Data Exploration Tutorial
+
+To get started with the Lyft Dataset SDK, run the tutorial using [Jupyter Notebook](notebooks/tutorial_lyft.ipynb).
+
+# Contributing
+We would be happy to accept issue reports and pull requests from the community.
+
+For creating pull requests follow our [contributing guide](docs/CONTRIBUTING.md). 
+
+
+
+%package -n python3-lyft-dataset-sdk
+Summary:	SDK for Lyft dataset.
+Provides:	python-lyft-dataset-sdk
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-lyft-dataset-sdk
+# Lyft Dataset SDK
+
+Welcome to the devkit for the [Lyft Level 5 AV dataset](https://level5.lyft.com/dataset/)! This devkit shall help you to visualise and explore our dataset.
+
+
+## Release Notes
+This devkit is based on a version of the [nuScenes devkit](https://www.nuscenes.org).
+
+## Getting Started
+
+### Installation
+
+You can use pip to install [lyft-dataset-sdk](https://pypi.org/project/lyft-dataset-sdk/):
+```bash
+pip install -U lyft_dataset_sdk
+```
+
+If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:
+
+```bash
+pip install -U git+https://github.com/lyft/nuscenes-devkit
+```
+
+### Dataset Download
+Go to <https://level5.lyft.com/dataset/> to download the Lyft Level 5 AV Dataset.
+
+
+The dataset is also availible as a part of the [Lyft 3D Object Detection for Autonomous Vehicles Challenge](https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles).
+
+### Tutorial and Reference Model
+Check out the [tutorial and reference model README](notebooks/README.md).
+
+![](notebooks/media/001.gif)
+
+
+# Dataset structure
+
+The dataset contains of json files:
+
+1. `scene.json` - 25-45 seconds snippet of a car's journey.
+2. `sample.json` - An annotated snapshot of a scene at a particular timestamp.
+3. `sample_data.json` - Data collected from a particular sensor.
+4. `sample_annotation.json` - An annotated instance of an object within our interest.
+5. `instance.json` - Enumeration of all object instance we observed.
+6. `category.json` - Taxonomy of object categories (e.g. vehicle, human).
+7. `attribute.json` - Property of an instance that can change while the category remains the same.
+8. `visibility.json` - (currently not used)
+9. `sensor.json` - A specific sensor type.
+10. `calibrated_sensor.json` - Definition of a particular sensor as calibrated on a particular vehicle.
+11. `ego_pose.json` - Ego vehicle poses at a particular timestamp.
+12. `log.json` - Log information from which the data was extracted.
+13. `map.json` - Map data that is stored as binary semantic masks from a top-down view.
+
+
+With [the schema](schema.md).
+
+# Data Exploration Tutorial
+
+To get started with the Lyft Dataset SDK, run the tutorial using [Jupyter Notebook](notebooks/tutorial_lyft.ipynb).
+
+# Contributing
+We would be happy to accept issue reports and pull requests from the community.
+
+For creating pull requests follow our [contributing guide](docs/CONTRIBUTING.md). 
+
+
+
+%package help
+Summary:	Development documents and examples for lyft-dataset-sdk
+Provides:	python3-lyft-dataset-sdk-doc
+%description help
+# Lyft Dataset SDK
+
+Welcome to the devkit for the [Lyft Level 5 AV dataset](https://level5.lyft.com/dataset/)! This devkit shall help you to visualise and explore our dataset.
+
+
+## Release Notes
+This devkit is based on a version of the [nuScenes devkit](https://www.nuscenes.org).
+
+## Getting Started
+
+### Installation
+
+You can use pip to install [lyft-dataset-sdk](https://pypi.org/project/lyft-dataset-sdk/):
+```bash
+pip install -U lyft_dataset_sdk
+```
+
+If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:
+
+```bash
+pip install -U git+https://github.com/lyft/nuscenes-devkit
+```
+
+### Dataset Download
+Go to <https://level5.lyft.com/dataset/> to download the Lyft Level 5 AV Dataset.
+
+
+The dataset is also availible as a part of the [Lyft 3D Object Detection for Autonomous Vehicles Challenge](https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles).
+
+### Tutorial and Reference Model
+Check out the [tutorial and reference model README](notebooks/README.md).
+
+![](notebooks/media/001.gif)
+
+
+# Dataset structure
+
+The dataset contains of json files:
+
+1. `scene.json` - 25-45 seconds snippet of a car's journey.
+2. `sample.json` - An annotated snapshot of a scene at a particular timestamp.
+3. `sample_data.json` - Data collected from a particular sensor.
+4. `sample_annotation.json` - An annotated instance of an object within our interest.
+5. `instance.json` - Enumeration of all object instance we observed.
+6. `category.json` - Taxonomy of object categories (e.g. vehicle, human).
+7. `attribute.json` - Property of an instance that can change while the category remains the same.
+8. `visibility.json` - (currently not used)
+9. `sensor.json` - A specific sensor type.
+10. `calibrated_sensor.json` - Definition of a particular sensor as calibrated on a particular vehicle.
+11. `ego_pose.json` - Ego vehicle poses at a particular timestamp.
+12. `log.json` - Log information from which the data was extracted.
+13. `map.json` - Map data that is stored as binary semantic masks from a top-down view.
+
+
+With [the schema](schema.md).
+
+# Data Exploration Tutorial
+
+To get started with the Lyft Dataset SDK, run the tutorial using [Jupyter Notebook](notebooks/tutorial_lyft.ipynb).
+
+# Contributing
+We would be happy to accept issue reports and pull requests from the community.
+
+For creating pull requests follow our [contributing guide](docs/CONTRIBUTING.md). 
+
+
+
+%prep
+%autosetup -n lyft-dataset-sdk-0.0.8
+
+%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-lyft-dataset-sdk -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.8-1
+- Package Spec generated
diff --git a/sources b/sources
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@@ -0,0 +1 @@
+3eff5fb32a0dd9061077b7b88580a2a0  lyft_dataset_sdk-0.0.8.tar.gz