Raw Inflate

Category: Compression

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

Input / output: ArrayBuffer → ArrayBuffer

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

What it does

Decompresses data which has been compressed using the deflate algorithm with no headers.

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`	Start index	`number`	`0`	A Python integer or floating-point value
`1`	Initial output buffer size	`number`	`0`	A Python integer or floating-point value
`2`	Buffer expansion type	`option`	`'Adaptive'`	`'Adaptive'`, `'Block'`
`3`	Resize buffer after decompression	`boolean`	`False`	`True` or `False`
`4`	Verify result	`boolean`	`False`	`True` or `False`

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 = [0, 0, 'Adaptive', False, False]
result = bake(input_value, [{"op": 'Raw Inflate', "args": args}])
print(result)

Pipeline example

from pychef import Pipeline

args = [0, 0, 'Adaptive', False, False]
transform = Pipeline().then('Raw Inflate', *args)
result = transform(b"example")

Direct call

pychef.ops.run_operation runs any registered operation as a plain function, under the active ExecutionPolicy (safe defaults, no network):

from pychef.ops import run_operation

args = [0, 0, 'Adaptive', False, False]
result = run_operation('Raw Inflate', b"example", args=args)

Common operations also have typed helpers in Direct operations.

Low-level operation module

Warning

The module below is an internal implementation detail. It applies no execution policy, resource limits, or error sanitization; prefer bake(), Pipeline, or pychef.ops for application code.

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

from pychef.operations.by_operation.raw_inflate import run

result = run(b"example", tuple([0, 0, 'Adaptive', False, False]))

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

Run this operation using its shared internal implementation.

Parameters:

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

Return type:

str | bytes