scisave 1.2.0

SciSave - Python Data Loader/Dumper for Science

SciSave - Python Data Loader/Dumper for Science

• Repository: github.com/otvam/scisave
• Package: pypi.org/project/scisave

Summary

SciSave is a Python serialization/deserialization module:

• Specially targeted for scientific applications.
• Load JSON/YAML configuration files.
• Load and write JSON/Pickle data files.

For YAML files, the following custom extensions are used:

• !path - parse relative paths (with respect to the YAML file).
• !include - include other YAML files (recursion possible).
• !env - include YAML string from environment variables.
• !merge_dict - merge a list of dicts.
• !merge_list - merge a list of lists.

For JSON files, the following custom extensions are used:

• Allows the serialization/deserialization of complex numbers (__complex__).
• Allows the serialization/deserialization of NumPy arrays (__numpy__).
• Allows the serialization/deserialization as/from text and gzip files

The following file extensions are used:

• .yaml, .yml - for YAML files
• .json, .js - for JSON text files
• .gz, .gzip - for JSON gzip files
• .pck, .pkl, .pickle - for Pickle files

The JSON/YAML files with the custom extensions are still valid JSON/YAML files.

SciSave is written in Python (NumPy and PyYAML are the only dependencies).

Warning

• Pickling data is not secure.
• Only load pickle files that you trust.

Example

An example is located in the example folder of the repository:

• run_data.py contains an example file for the loader/dumper
• config_main.yaml YAML configuration file with custom extensions
• config_include.yaml YAML configuration file for include extension
• dump.json JSON plain text file for testing data dumping/loading
• dump.gz JSON plain gzip file for testing data dumping/loading
• dump.pickle Pickle file for testing data dumping/loading

Project Links

• Repository: https://github.com/otvam/scisave
• Releases: https://github.com/otvam/scisave/releases
• Tags: https://github.com/otvam/scisave/tags
• Issues: https://github.com/otvam/scisave/issues
• PyPi: https://pypi.org/project/scisave

Author

• Thomas Guillod
• Email: [e-mail]
• Website: https://otvam.ch

Copyright

(c) 2023 - Thomas Guillod

BSD 2-Clause "Simplified" License