Adler-32 Checksum

Category: Hashing

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

Input / output: ArrayBuffer → string

Background: https://wikipedia.org/wiki/Adler-32

What it does

Adler-32 is a checksum algorithm which was invented by Mark Adler in 1995, and is a modification of the Fletcher checksum. Compared to a cyclic redundancy check of the same length, it trades reliability for speed (preferring the latter). Adler-32 is more reliable than Fletcher-16, and slightly less reliable than Fletcher-32.

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

This operation takes no positional recipe arguments.

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 = []
result = bake(input_value, ['Adler-32 Checksum'])
print(result)

Pipeline example

from pychef import Pipeline

args = []
transform = Pipeline().then('Adler-32 Checksum')
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 = []
result = run_operation('Adler-32 Checksum', 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.adler_32_checksum. Direct calls receive the input value and a positional argument tuple:

from pychef.operations.by_operation.adler_32_checksum import run

result = run(b"example", tuple([]))

pychef.operations.by_operation.adler_32_checksum.run(value, args)

Run this operation using its shared internal implementation.

Parameters:

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

Return type:

str | bytes