byteforge 0.0.5

Encode and decode numbers as unsigned integer bit patterns

Byteforge

Encode and decode numbers as unsigned integer bit patterns using NumPy arrays.

Requires Python >= 3.9 and NumPy >= 2.0.

Installation

pip install byteforge

Usage

Every encoding exposes the same interface: encode() converts physical values to bit patterns, decode() converts back.

import numpy as np
from byteforge import TwosComplement, IEEE754, Unsigned

# Integer encodings
tc = TwosComplement(16)
dns = tc.encode(np.array([-1, 0, 127]))   # array([65535, 0, 127], dtype=uint16)
tc.decode(dns)                              # array([-1, 0, 127], dtype=int16)

# Floating-point encodings
ieee = IEEE754(32)
dns = ieee.encode(np.array([3.14]))         # uint32 bit pattern
ieee.decode(dns)                            # array([3.14], dtype=float32)

# Unsigned with automatic bit width
u = Unsigned.from_range(max_value=1000)     # Unsigned(10)

Registry factory

Create encodings by name using the registry:

from byteforge import create_encoding

enc = create_encoding("twos_complement", 8)
enc = create_encoding("ieee32")            # aliases have default bit widths
enc = create_encoding("linear_scaled", 16, scale_factor=0.1, offset=10.0)

Byte serialization

Convert encoded bit patterns to/from raw bytes:

enc = Unsigned(16)
dns = enc.encode(np.array([256, 512]))
raw = enc.to_bytes(dns, byteorder="big")    # uint8 array, shape (2, 2)
enc.decode(enc.from_bytes(raw, byteorder="big"))  # roundtrip

For non-byte-aligned widths (e.g. 12-bit), values are zero-padded in the most significant bits to fill whole bytes (2 bytes for 12-bit).

Encodings

Encoding	Registry names	Bit widths
Unsigned	unsigned, u	1-64
TwosComplement	twos_complement, 2c	2-64
OnesComplement	ones_complement, 1c	2-64
OffsetBinary	offset_binary	1-64
GrayCode	gray_code, gray	1-64
BCD	bcd	4-64 (multiples of 4)
Boolean	boolean	1
IEEE754	ieee754, ieee16, ieee32, ieee64	16, 32, 64
LinearScaled	linear_scaled	1-64
MilStd1750A	mil_std_1750a, 1750a32, 1750a48	32, 48
TIFloat	ti_float, ti32, ti40	32, 40
IBMFloat	ibm_float, ibm32, ibm64	32, 64
DECFloat	dec_float, dec32, dec64	32, 64
DECFloatG	dec_float_g, dec64g	64

C Extension

Optional NumPy C ufuncs accelerate encodings that would otherwise require per-element loops or multi-pass numpy operations. The C extension is compiled automatically during install and falls back to pure Python when unavailable. Set BYTEFORGE_NO_C=1 to force the pure-Python path.

Encodings with C ufuncs: BCD, GrayCode (decode), MilStd1750A, TIFloat, IBMFloat, DECFloat, and DECFloatG.

Development

uv run pytest tests/ -v       # tests
uv run ruff check src/ tests/ # lint
uv run mypy                   # type check