A serializer that aims for efficiency and performance.
Reason this release was yanked:
setup error
Project description
Compaqt
A serializer that aims for efficiency and performance.
Installation
To install this module for Python, simply run this:
pip install compaqt
About this serializer
Compaqt
is a serializer designed to strike a balance between compact data representation and performance. According to benchmarks compared to other existing serialization methods, this one performs well in both compactness and (de-)serialization speed.
In an attempt to keep the memory usage low, Compaqt attempts to predict how much memory to allocate before serializing data, by dynamically learning based on previously received data. This is to avoid over-allocating memory by large amounts, while also reducing re-allocations. This - besides the lower memory footprint - also enhances performance due to the ease of upfront allocation and minimal re-allocations during the process.
The serializer currently supports the following datatypes:
- bytes
- str
- int
- float
- complex
- bool
- NoneType
- list
- dict
This is besides custom datatype extensions (not yet supported, in development).
Usage
Encoding (serializing):
# The value we want to encode
value = {
'Hello,': 'world!',
'this is a': ['test', 'value']
}
# Call the `encode` method to encode the value
encoded = compaqt.encode(value)
# Now, `encoded` contains the value serialized to bytes
Decoding (de-serializing):
# Our encoded value (generated from the value from 'Encoding' above)
encoded = b'!cHello,cworld!\x93this is a CtestSvalue'
# call the `decode` method to decode the value
value = compaqt.decode(encoded)
# Now, `value` contains the original value
Compaqt is still in development and will receive more methods and optional arguments in the future.
License
This project is licensed under the BSD-3-Clause License. See the LICENSE file for details.
Contact
Feel free to reach out via the GitHub repository of this module (github) or reach out by mail (Sven Boertjens).
Project details
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