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+/cerebralcortex-kernel-3.3.16.tar.gz
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+%global _empty_manifest_terminate_build 0
+Name:		python-cerebralcortex-kernel
+Version:	3.3.16
+Release:	1
+Summary:	Backend data analytics platform for MD2K software
+License:	BSD2
+URL:		https://github.com/MD2Korg/CerebralCortex-Kernel/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d2/72/8fa1db2c4c77656891d481a43b665dafa4099e758b4158269f83ecb507d3/cerebralcortex-kernel-3.3.16.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-wheel
+Requires:	python3-pytz
+Requires:	python3-PyYAML
+Requires:	python3-SQLAlchemy-Utils
+Requires:	python3-influxdb
+Requires:	python3-pyarrow
+Requires:	python3-hdfs3
+Requires:	python3-pyspark
+Requires:	python3-msgpack
+Requires:	python3-PyJWT
+Requires:	python3-pandas
+Requires:	python3-plotly
+Requires:	python3-datascience
+Requires:	python3-matplotlib
+Requires:	python3-cufflinks
+Requires:	python3-sqlalchemy
+Requires:	python3-pennprov
+Requires:	python3-shapely
+Requires:	python3-numpy
+Requires:	python3-geopy
+Requires:	python3-py-ecg-detectors
+Requires:	python3-scikit-learn
+Requires:	python3-scipy
+
+%description
+# CerebralCortex Kernel
+Cerebral Cortex is the big data cloud companion of mCerebrum designed to support population-scale 
+data analysis, visualization, model development, and intervention design for mobile sensor data.
+
+You can find more information about MD2K software on our 
+[software website](https://md2k.org/software) or the MD2K organization on our 
+[MD2K website](https://md2k.org/).
+
+CerebralCortex Kernel is part of our 
+[CerebralCortex cloud platform](https://github.com/MD2Korg/CerebralCortex).
+CerebralCortex-Kernel is capable of parallelizing tasks and scale a job to n-number of cores/machines. CerebralCortex Kernel offers some builtin features as follows:
+
+## Installation
+### Dependencies
+CerebralCortex Kernel requires `java 8` to run. Java 8 prior to version 8u92 support is deprecated as of CerebralCortex-Kernel 3.3.0.
+- check java version - `java -version` 
+- set ``JAVA_HOME`` to `java 8`
+- OR start python shell with ``JAVA_HOME=/path/to/java/Home python3``
+
+
+### Install using pip
+CerebralCortex-Kernel requires minimum [Python3.6](https://www.python.org/downloads/release/python-360/). To install CerebralCortex-Kernel as an API:
+
+`pip3 install cerebralcortex-kernel`
+
+- Note: please use appropriate pip (e.g., pip, pip3, pip3.6 etc.) installed on your machine 
+
+### Install from source code
+- Clone repo - 
+` git clone https://github.com/MD2Korg/CerebralCortex-Kernel.git`
+- `cd CerebralCortex-Kernel`
+- `python3 setup.py install`
+
+## Usage
+
+    from cerebralcortex.kernel import Kernel
+    CC = Kernel(cc_configs="default")
+
+    # to view default configs
+    print(CC.config)
+
+    # default data storage path is
+    # /user/home/folder/cc_data
+
+
+By default Kernel will load default configs. Please have a look at all available [configurations](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/conf) for CerebralCortex-Kernel. 
+You may also load config files as:
+
+`CC = Kernel(configs_dir_path="dir/path/to/configs/", new_study=True)`
+
+### How to use builtin algorithms
+Using builtin algorithms are as easy as loading data, passing it to algorithm and get the results. 
+Below is an example on how to compute CGM Glucose Variability Metrics.
+
+- [Download Glucose Data](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/test_suite/sample_data/cgm_glucose_variability_metrics/sample.csv). The device used to collect glucose was the [Dexcom G6 Continuous Glucose Monitor](https://www.dexcom.com/g6-cgm-system)
+- Install Cerebral Cortex Kernel `pip install cerebralcortex-kernel`
+- Open terminal and start python3 shell
+
+### Python Code
+    # import packages
+    from cerebralcortex.kernel import Kernel
+    from cerebralcortex.algorithms.glucose.glucose_variability_metrics import glucose_var
+
+    # Create Kernel object
+    CC = Kernel(cc_configs="default", new_study=True)
+
+    # Read sample CSV data
+    ds = CC.read_csv("/path/of/the/downloaded/file/sample.csv", stream_name="cgm_glucose_variability_metrics", header=True)
+
+    # view sample data
+    ds.show(2)
+
+    # Apply glucose_variability_metrics algorithm on the data
+    results = glucose_var(ds)
+
+    # view results
+    results.show(2)
+
+    # save computed data 
+    CC.save_stream(results)
+
+Please have a look at [jupyter notebook](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/datastream_operation.ipynb) for basic operation that could be perform on DataStream object.
+
+### Algorithms to  Analyze Sensor Data
+External CerebralCortex-Kernel offers following builtin algorithms to analyze sensor data.
+
+- ECG sensor data quality
+- ECG RR Interval Computation
+- Heart Rate Variability Feature Computation
+- CGM Glucose Variability Metrics
+- [GPS Data Clustering](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- Sensor Data Interpolation
+- Statistical Features Computation
+- [List of all available algorithms](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/algorithms)
+
+### Markers with ML Models
+- [Stress Detection using ECG data](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/ecg_stress)
+- [mContain Social Crowding](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/mcontain)
+- Brushing Detection using Accelerometer and Gyro Data (TODO)
+
+### Visualization
+- [Basic Plots for Timeseries Data](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+- [Plot GPS Clusters on Map](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- [Stress Visualization](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+
+### Import and Document Data
+- [Import CSV Data in CerebralCortex-Kernel Format](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+- [Document imported Data using MetaData Module](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+
+### External CerebralCortex-Kernel Supported Platforms
+- mProv 
+- mFlow 
+
+
+## Examples
+- [Jupyter Notebooks](https://github.com/MD2Korg/CerebralCortex/tree/master/jupyter_demo)
+
+## Documentation
+
+- [Source code documentation](https://cerebralcortex-kernel.readthedocs.io/en/latest/)
+
+## Deploy on Cloud
+CerebralCortex-Kernel is a part of CerebralCortex cloud platform. To test the complete cloud platform, please visit [CerebralCortex](https://github.com/MD2Korg/CerebralCortex).
+
+
+## FAQ
+**1 - Do I need whole CerebralCortex cloud platform to use CerebralCortex-Kernal?**
+
+No! If you want to use CerebralCortex-Kernel independently.
+
+
+**2 - How can I change NoSQL backend storage layer?**
+
+CerebralCortex-Kernel follows component based structure. This makes it easier to add/remove features. 
+* Add a new class in [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/). 
+* New class must have read/write methods. Here is a sample [skeleton class](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/storage_blueprint.py) with mandatory methods required in the new class.
+* Create an object of new class in [Data-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in (NoSQL Storage)[https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml#L8] section.
+
+**3 - How can I replace MySQL with another SQL storage system?** 
+
+* Add a new class in [Data manager-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/core/data_manager/sql). 
+* New class must implement all of the methods available in [stream_handler.py](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/stream_handler.py) class.
+* Create an object of new class in [Data-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in [Relational Storage](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) section.
+
+**4 - Where are all the backend storage related classes/methods?**    
+
+In [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/). You can add/change any backend storage.
+
+
+## Contributing
+Please read our [Contributing Guidelines](https://md2k.org/contributing/contributing-guidelines.html) for details on the process for submitting pull requests to us.
+
+We use the [Python PEP 8 Style Guide](https://www.python.org/dev/peps/pep-0008/).
+
+Our [Code of Conduct](https://md2k.org/contributing/code-of-conduct.html) is the [Contributor Covenant](https://www.contributor-covenant.org/).
+
+Bug reports can be submitted through [JIRA](https://md2korg.atlassian.net/secure/Dashboard.jspa).
+
+Our discussion forum can be found [here](https://discuss.md2k.org/).
+
+## Versioning
+
+We use [Semantic Versioning](https://semver.org/) for versioning the software which is based on the following guidelines.
+
+MAJOR.MINOR.PATCH (example: 3.0.12)
+
+  1. MAJOR version when incompatible API changes are made,
+  2. MINOR version when functionality is added in a backwards-compatible manner, and
+  3. PATCH version when backwards-compatible bug fixes are introduced.
+
+For the versions available, see [this repository's tags](https://github.com/MD2Korg/CerebralCortex/tags).
+
+## Contributors
+
+Link to the [list of contributors](https://github.com/MD2Korg/CerebralCortex-Kernel/graphs/contributors) who participated in this project.
+
+## License
+
+This project is licensed under the BSD 2-Clause - see the [license](https://md2k.org/software-under-the-hood/software-uth-license) file for details.
+
+## Acknowledgments
+
+* [National Institutes of Health](https://www.nih.gov/) - [Big Data to Knowledge Initiative](https://datascience.nih.gov/bd2k)
+  * Grants: R01MD010362, 1UG1DA04030901, 1U54EB020404, 1R01CA190329, 1R01DE02524, R00MD010468, 3UH2DA041713, 10555SC
+* [National Science Foundation](https://www.nsf.gov/)
+  * Grants: 1640813, 1722646
+* [Intelligence Advanced Research Projects Activity](https://www.iarpa.gov/)
+  * Contract: 2017-17042800006
+
+
+
+%package -n python3-cerebralcortex-kernel
+Summary:	Backend data analytics platform for MD2K software
+Provides:	python-cerebralcortex-kernel
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-cerebralcortex-kernel
+# CerebralCortex Kernel
+Cerebral Cortex is the big data cloud companion of mCerebrum designed to support population-scale 
+data analysis, visualization, model development, and intervention design for mobile sensor data.
+
+You can find more information about MD2K software on our 
+[software website](https://md2k.org/software) or the MD2K organization on our 
+[MD2K website](https://md2k.org/).
+
+CerebralCortex Kernel is part of our 
+[CerebralCortex cloud platform](https://github.com/MD2Korg/CerebralCortex).
+CerebralCortex-Kernel is capable of parallelizing tasks and scale a job to n-number of cores/machines. CerebralCortex Kernel offers some builtin features as follows:
+
+## Installation
+### Dependencies
+CerebralCortex Kernel requires `java 8` to run. Java 8 prior to version 8u92 support is deprecated as of CerebralCortex-Kernel 3.3.0.
+- check java version - `java -version` 
+- set ``JAVA_HOME`` to `java 8`
+- OR start python shell with ``JAVA_HOME=/path/to/java/Home python3``
+
+
+### Install using pip
+CerebralCortex-Kernel requires minimum [Python3.6](https://www.python.org/downloads/release/python-360/). To install CerebralCortex-Kernel as an API:
+
+`pip3 install cerebralcortex-kernel`
+
+- Note: please use appropriate pip (e.g., pip, pip3, pip3.6 etc.) installed on your machine 
+
+### Install from source code
+- Clone repo - 
+` git clone https://github.com/MD2Korg/CerebralCortex-Kernel.git`
+- `cd CerebralCortex-Kernel`
+- `python3 setup.py install`
+
+## Usage
+
+    from cerebralcortex.kernel import Kernel
+    CC = Kernel(cc_configs="default")
+
+    # to view default configs
+    print(CC.config)
+
+    # default data storage path is
+    # /user/home/folder/cc_data
+
+
+By default Kernel will load default configs. Please have a look at all available [configurations](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/conf) for CerebralCortex-Kernel. 
+You may also load config files as:
+
+`CC = Kernel(configs_dir_path="dir/path/to/configs/", new_study=True)`
+
+### How to use builtin algorithms
+Using builtin algorithms are as easy as loading data, passing it to algorithm and get the results. 
+Below is an example on how to compute CGM Glucose Variability Metrics.
+
+- [Download Glucose Data](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/test_suite/sample_data/cgm_glucose_variability_metrics/sample.csv). The device used to collect glucose was the [Dexcom G6 Continuous Glucose Monitor](https://www.dexcom.com/g6-cgm-system)
+- Install Cerebral Cortex Kernel `pip install cerebralcortex-kernel`
+- Open terminal and start python3 shell
+
+### Python Code
+    # import packages
+    from cerebralcortex.kernel import Kernel
+    from cerebralcortex.algorithms.glucose.glucose_variability_metrics import glucose_var
+
+    # Create Kernel object
+    CC = Kernel(cc_configs="default", new_study=True)
+
+    # Read sample CSV data
+    ds = CC.read_csv("/path/of/the/downloaded/file/sample.csv", stream_name="cgm_glucose_variability_metrics", header=True)
+
+    # view sample data
+    ds.show(2)
+
+    # Apply glucose_variability_metrics algorithm on the data
+    results = glucose_var(ds)
+
+    # view results
+    results.show(2)
+
+    # save computed data 
+    CC.save_stream(results)
+
+Please have a look at [jupyter notebook](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/datastream_operation.ipynb) for basic operation that could be perform on DataStream object.
+
+### Algorithms to  Analyze Sensor Data
+External CerebralCortex-Kernel offers following builtin algorithms to analyze sensor data.
+
+- ECG sensor data quality
+- ECG RR Interval Computation
+- Heart Rate Variability Feature Computation
+- CGM Glucose Variability Metrics
+- [GPS Data Clustering](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- Sensor Data Interpolation
+- Statistical Features Computation
+- [List of all available algorithms](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/algorithms)
+
+### Markers with ML Models
+- [Stress Detection using ECG data](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/ecg_stress)
+- [mContain Social Crowding](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/mcontain)
+- Brushing Detection using Accelerometer and Gyro Data (TODO)
+
+### Visualization
+- [Basic Plots for Timeseries Data](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+- [Plot GPS Clusters on Map](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- [Stress Visualization](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+
+### Import and Document Data
+- [Import CSV Data in CerebralCortex-Kernel Format](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+- [Document imported Data using MetaData Module](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+
+### External CerebralCortex-Kernel Supported Platforms
+- mProv 
+- mFlow 
+
+
+## Examples
+- [Jupyter Notebooks](https://github.com/MD2Korg/CerebralCortex/tree/master/jupyter_demo)
+
+## Documentation
+
+- [Source code documentation](https://cerebralcortex-kernel.readthedocs.io/en/latest/)
+
+## Deploy on Cloud
+CerebralCortex-Kernel is a part of CerebralCortex cloud platform. To test the complete cloud platform, please visit [CerebralCortex](https://github.com/MD2Korg/CerebralCortex).
+
+
+## FAQ
+**1 - Do I need whole CerebralCortex cloud platform to use CerebralCortex-Kernal?**
+
+No! If you want to use CerebralCortex-Kernel independently.
+
+
+**2 - How can I change NoSQL backend storage layer?**
+
+CerebralCortex-Kernel follows component based structure. This makes it easier to add/remove features. 
+* Add a new class in [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/). 
+* New class must have read/write methods. Here is a sample [skeleton class](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/storage_blueprint.py) with mandatory methods required in the new class.
+* Create an object of new class in [Data-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in (NoSQL Storage)[https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml#L8] section.
+
+**3 - How can I replace MySQL with another SQL storage system?** 
+
+* Add a new class in [Data manager-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/core/data_manager/sql). 
+* New class must implement all of the methods available in [stream_handler.py](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/stream_handler.py) class.
+* Create an object of new class in [Data-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in [Relational Storage](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) section.
+
+**4 - Where are all the backend storage related classes/methods?**    
+
+In [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/). You can add/change any backend storage.
+
+
+## Contributing
+Please read our [Contributing Guidelines](https://md2k.org/contributing/contributing-guidelines.html) for details on the process for submitting pull requests to us.
+
+We use the [Python PEP 8 Style Guide](https://www.python.org/dev/peps/pep-0008/).
+
+Our [Code of Conduct](https://md2k.org/contributing/code-of-conduct.html) is the [Contributor Covenant](https://www.contributor-covenant.org/).
+
+Bug reports can be submitted through [JIRA](https://md2korg.atlassian.net/secure/Dashboard.jspa).
+
+Our discussion forum can be found [here](https://discuss.md2k.org/).
+
+## Versioning
+
+We use [Semantic Versioning](https://semver.org/) for versioning the software which is based on the following guidelines.
+
+MAJOR.MINOR.PATCH (example: 3.0.12)
+
+  1. MAJOR version when incompatible API changes are made,
+  2. MINOR version when functionality is added in a backwards-compatible manner, and
+  3. PATCH version when backwards-compatible bug fixes are introduced.
+
+For the versions available, see [this repository's tags](https://github.com/MD2Korg/CerebralCortex/tags).
+
+## Contributors
+
+Link to the [list of contributors](https://github.com/MD2Korg/CerebralCortex-Kernel/graphs/contributors) who participated in this project.
+
+## License
+
+This project is licensed under the BSD 2-Clause - see the [license](https://md2k.org/software-under-the-hood/software-uth-license) file for details.
+
+## Acknowledgments
+
+* [National Institutes of Health](https://www.nih.gov/) - [Big Data to Knowledge Initiative](https://datascience.nih.gov/bd2k)
+  * Grants: R01MD010362, 1UG1DA04030901, 1U54EB020404, 1R01CA190329, 1R01DE02524, R00MD010468, 3UH2DA041713, 10555SC
+* [National Science Foundation](https://www.nsf.gov/)
+  * Grants: 1640813, 1722646
+* [Intelligence Advanced Research Projects Activity](https://www.iarpa.gov/)
+  * Contract: 2017-17042800006
+
+
+
+%package help
+Summary:	Development documents and examples for cerebralcortex-kernel
+Provides:	python3-cerebralcortex-kernel-doc
+%description help
+# CerebralCortex Kernel
+Cerebral Cortex is the big data cloud companion of mCerebrum designed to support population-scale 
+data analysis, visualization, model development, and intervention design for mobile sensor data.
+
+You can find more information about MD2K software on our 
+[software website](https://md2k.org/software) or the MD2K organization on our 
+[MD2K website](https://md2k.org/).
+
+CerebralCortex Kernel is part of our 
+[CerebralCortex cloud platform](https://github.com/MD2Korg/CerebralCortex).
+CerebralCortex-Kernel is capable of parallelizing tasks and scale a job to n-number of cores/machines. CerebralCortex Kernel offers some builtin features as follows:
+
+## Installation
+### Dependencies
+CerebralCortex Kernel requires `java 8` to run. Java 8 prior to version 8u92 support is deprecated as of CerebralCortex-Kernel 3.3.0.
+- check java version - `java -version` 
+- set ``JAVA_HOME`` to `java 8`
+- OR start python shell with ``JAVA_HOME=/path/to/java/Home python3``
+
+
+### Install using pip
+CerebralCortex-Kernel requires minimum [Python3.6](https://www.python.org/downloads/release/python-360/). To install CerebralCortex-Kernel as an API:
+
+`pip3 install cerebralcortex-kernel`
+
+- Note: please use appropriate pip (e.g., pip, pip3, pip3.6 etc.) installed on your machine 
+
+### Install from source code
+- Clone repo - 
+` git clone https://github.com/MD2Korg/CerebralCortex-Kernel.git`
+- `cd CerebralCortex-Kernel`
+- `python3 setup.py install`
+
+## Usage
+
+    from cerebralcortex.kernel import Kernel
+    CC = Kernel(cc_configs="default")
+
+    # to view default configs
+    print(CC.config)
+
+    # default data storage path is
+    # /user/home/folder/cc_data
+
+
+By default Kernel will load default configs. Please have a look at all available [configurations](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/conf) for CerebralCortex-Kernel. 
+You may also load config files as:
+
+`CC = Kernel(configs_dir_path="dir/path/to/configs/", new_study=True)`
+
+### How to use builtin algorithms
+Using builtin algorithms are as easy as loading data, passing it to algorithm and get the results. 
+Below is an example on how to compute CGM Glucose Variability Metrics.
+
+- [Download Glucose Data](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/test_suite/sample_data/cgm_glucose_variability_metrics/sample.csv). The device used to collect glucose was the [Dexcom G6 Continuous Glucose Monitor](https://www.dexcom.com/g6-cgm-system)
+- Install Cerebral Cortex Kernel `pip install cerebralcortex-kernel`
+- Open terminal and start python3 shell
+
+### Python Code
+    # import packages
+    from cerebralcortex.kernel import Kernel
+    from cerebralcortex.algorithms.glucose.glucose_variability_metrics import glucose_var
+
+    # Create Kernel object
+    CC = Kernel(cc_configs="default", new_study=True)
+
+    # Read sample CSV data
+    ds = CC.read_csv("/path/of/the/downloaded/file/sample.csv", stream_name="cgm_glucose_variability_metrics", header=True)
+
+    # view sample data
+    ds.show(2)
+
+    # Apply glucose_variability_metrics algorithm on the data
+    results = glucose_var(ds)
+
+    # view results
+    results.show(2)
+
+    # save computed data 
+    CC.save_stream(results)
+
+Please have a look at [jupyter notebook](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/datastream_operation.ipynb) for basic operation that could be perform on DataStream object.
+
+### Algorithms to  Analyze Sensor Data
+External CerebralCortex-Kernel offers following builtin algorithms to analyze sensor data.
+
+- ECG sensor data quality
+- ECG RR Interval Computation
+- Heart Rate Variability Feature Computation
+- CGM Glucose Variability Metrics
+- [GPS Data Clustering](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- Sensor Data Interpolation
+- Statistical Features Computation
+- [List of all available algorithms](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/algorithms)
+
+### Markers with ML Models
+- [Stress Detection using ECG data](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/ecg_stress)
+- [mContain Social Crowding](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/markers/mcontain)
+- Brushing Detection using Accelerometer and Gyro Data (TODO)
+
+### Visualization
+- [Basic Plots for Timeseries Data](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+- [Plot GPS Clusters on Map](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/cc_algorithms.ipynb)
+- [Stress Visualization](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/plotting_demo.ipynb)
+
+### Import and Document Data
+- [Import CSV Data in CerebralCortex-Kernel Format](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+- [Document imported Data using MetaData Module](https://github.com/MD2Korg/CerebralCortex/blob/master/jupyter_demo/import_and_analyse_data.ipynb)
+
+### External CerebralCortex-Kernel Supported Platforms
+- mProv 
+- mFlow 
+
+
+## Examples
+- [Jupyter Notebooks](https://github.com/MD2Korg/CerebralCortex/tree/master/jupyter_demo)
+
+## Documentation
+
+- [Source code documentation](https://cerebralcortex-kernel.readthedocs.io/en/latest/)
+
+## Deploy on Cloud
+CerebralCortex-Kernel is a part of CerebralCortex cloud platform. To test the complete cloud platform, please visit [CerebralCortex](https://github.com/MD2Korg/CerebralCortex).
+
+
+## FAQ
+**1 - Do I need whole CerebralCortex cloud platform to use CerebralCortex-Kernal?**
+
+No! If you want to use CerebralCortex-Kernel independently.
+
+
+**2 - How can I change NoSQL backend storage layer?**
+
+CerebralCortex-Kernel follows component based structure. This makes it easier to add/remove features. 
+* Add a new class in [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/). 
+* New class must have read/write methods. Here is a sample [skeleton class](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/storage_blueprint.py) with mandatory methods required in the new class.
+* Create an object of new class in [Data-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/raw/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in (NoSQL Storage)[https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml#L8] section.
+
+**3 - How can I replace MySQL with another SQL storage system?** 
+
+* Add a new class in [Data manager-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/tree/master/cerebralcortex/core/data_manager/sql). 
+* New class must implement all of the methods available in [stream_handler.py](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/stream_handler.py) class.
+* Create an object of new class in [Data-SQL](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/sql/data.py) with appropriate parameters.
+* Add appropriate configurations in [cerebralcortex.yml](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) in [Relational Storage](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/conf/cerebralcortex.yml) section.
+
+**4 - Where are all the backend storage related classes/methods?**    
+
+In [Data manager-Raw](https://github.com/MD2Korg/CerebralCortex-Kernel/blob/master/cerebralcortex/core/data_manager/). You can add/change any backend storage.
+
+
+## Contributing
+Please read our [Contributing Guidelines](https://md2k.org/contributing/contributing-guidelines.html) for details on the process for submitting pull requests to us.
+
+We use the [Python PEP 8 Style Guide](https://www.python.org/dev/peps/pep-0008/).
+
+Our [Code of Conduct](https://md2k.org/contributing/code-of-conduct.html) is the [Contributor Covenant](https://www.contributor-covenant.org/).
+
+Bug reports can be submitted through [JIRA](https://md2korg.atlassian.net/secure/Dashboard.jspa).
+
+Our discussion forum can be found [here](https://discuss.md2k.org/).
+
+## Versioning
+
+We use [Semantic Versioning](https://semver.org/) for versioning the software which is based on the following guidelines.
+
+MAJOR.MINOR.PATCH (example: 3.0.12)
+
+  1. MAJOR version when incompatible API changes are made,
+  2. MINOR version when functionality is added in a backwards-compatible manner, and
+  3. PATCH version when backwards-compatible bug fixes are introduced.
+
+For the versions available, see [this repository's tags](https://github.com/MD2Korg/CerebralCortex/tags).
+
+## Contributors
+
+Link to the [list of contributors](https://github.com/MD2Korg/CerebralCortex-Kernel/graphs/contributors) who participated in this project.
+
+## License
+
+This project is licensed under the BSD 2-Clause - see the [license](https://md2k.org/software-under-the-hood/software-uth-license) file for details.
+
+## Acknowledgments
+
+* [National Institutes of Health](https://www.nih.gov/) - [Big Data to Knowledge Initiative](https://datascience.nih.gov/bd2k)
+  * Grants: R01MD010362, 1UG1DA04030901, 1U54EB020404, 1R01CA190329, 1R01DE02524, R00MD010468, 3UH2DA041713, 10555SC
+* [National Science Foundation](https://www.nsf.gov/)
+  * Grants: 1640813, 1722646
+* [Intelligence Advanced Research Projects Activity](https://www.iarpa.gov/)
+  * Contract: 2017-17042800006
+
+
+
+%prep
+%autosetup -n cerebralcortex-kernel-3.3.16
+
+%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-cerebralcortex-kernel -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.3.16-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..1b7feea
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d145de0f9fbe2208cff26f17da1aaa5f  cerebralcortex-kernel-3.3.16.tar.gz