Python Varint Implementation
The `varint` library provides a simple Python implementation for variable-length encoding and decoding of integers. This encoding scheme is primarily useful for creating more compact representations, particularly for sequences or arrays of frequently small integers, to save memory. While Python's native integer objects have overhead, varint encoding can be advantageous when storing many small numbers in a bytearray.
Common errors
-
ImportError: No module named 'varint'
cause The `varint` library has not been installed or is not accessible in the current Python environment.fixInstall the library using pip: `pip install varint` -
TypeError: argument must be a bytes-like object, not 'int' or TypeError: expected a bytes-like object, not int
cause Attempting to pass an integer directly to `decode_bytes` or `decode_stream` instead of a bytes object or a stream.fixEnsure that you are passing a `bytes` object (e.g., `b'\xc2\x02'`) to `decode_bytes` or a `BytesIO` stream to `decode_stream`, not the raw integer value. -
EOFError: Read from empty stream
cause The `decode_stream` function attempted to read beyond the end of the provided stream, indicating incomplete or malformed varint data.fixVerify that the byte stream contains valid and complete varint-encoded data. This often happens if the stream is consumed or positioned incorrectly before decoding.
Warnings
- gotcha Using varint encoding for individual integers in Python can *increase* memory usage due to Python's object and `bytearray` overhead, rather than reducing it. The memory benefit is primarily realized when encoding and storing *arrays or lists* of many small integers.
- deprecated The `varint` library has not seen updates since its last release on February 24, 2016. While functional, this means it may not incorporate newer Python features, performance optimizations, or receive bug fixes.
- gotcha There is a processing overhead associated with encoding and decoding integers using varint. This library is not a drop-in replacement for native integer storage if raw performance and direct random access are paramount.
Install
-
pip install varint
Imports
- encode
from varint import encode
- decode_bytes
from varint import decode_bytes
- decode_stream
from varint import decode_stream
Quickstart
from varint import encode, decode_bytes, decode_stream
from io import BytesIO
# Encode an integer
number_to_encode = 300
encoded_bytes = encode(number_to_encode)
print(f"Encoded {number_to_encode}: {encoded_bytes.hex()}")
# Decode from bytes
decoded_number_from_bytes = decode_bytes(encoded_bytes)
print(f"Decoded from bytes: {decoded_number_from_bytes}")
# Decode from a stream
stream = BytesIO(encoded_bytes)
decoded_number_from_stream = decode_stream(stream)
print(f"Decoded from stream: {decoded_number_from_stream}")
# Example with a larger number
large_number = 123456789
encoded_large = encode(large_number)
print(f"\nEncoded {large_number}: {encoded_large.hex()}")
decoded_large = decode_bytes(encoded_large)
print(f"Decoded large number: {decoded_large}")