To Float

Category: Encoding

Status: Registered and callable in the CyberChef 11.3.0 compatibility inventory.

Input / output: byteArray → string

Background: https://wikipedia.org/wiki/IEEE_754

What it does

Convert to IEEE754 Floating Point Numbers

Note

Status here means the operation name is implemented and callable. It does not by itself promise byte-for-byte parity for every upstream option. See Compatibility and current status for the verified scope and known boundaries.

Arguments and options

Arguments are positional. Keep their order when using bake() or Pipeline.then().

Index	Name	UI type	PyChef default	Accepted values / format
`0`	Endianness	`option`	`'Big Endian'`	`'Big Endian'`, `'Little Endian'`
`1`	Size	`option`	`'Float (4 bytes)'`	`'Float (4 bytes)'`, `'Double (8 bytes)'`
`2`	Delimiter	`option`	`'Space'`	`'Space'`, `'Comma'`, `'Semi-colon'`, `'Colon'`, `'Line feed'`, `'CRLF'`

Recipe template

Important

This is a call template built from the documented defaults. Replace placeholder values such as empty keys, paths, patterns, or lookup data before running it.

from pychef import bake

input_value = b"example"
args = ['Big Endian', 'Float (4 bytes)', 'Space']
result = bake(input_value, [{"op": 'To Float', "args": args}])
print(result)

Pipeline example

from pychef import Pipeline

args = ['Big Endian', 'Float (4 bytes)', 'Space']
transform = Pipeline().then('To Float', *args)
result = transform(b"example")

Dedicated operation module

The registered entry point lives in pychef.operations.by_operation.to_float. Direct calls receive the input value and a positional argument tuple:

from pychef.operations.by_operation.to_float import run

result = run(b"example", tuple(['Big Endian', 'Float (4 bytes)', 'Space']))

pychef.operations.by_operation.to_float.run(value, args)

Run this operation using its shared internal implementation.

Parameters:

value (str | bytes)
args (Sequence[Any])

Return type:

str | bytes