Drop bytes
Category: Data format
Status: Registered and callable in the CyberChef 11.3.0 compatibility inventory.
Input / output: ArrayBuffer → ArrayBuffer
What it does
Cuts a slice of the specified number of bytes out of the data. Negative values are allowed.
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 |
|---|---|---|---|---|
|
Start |
|
|
A Python integer or floating-point value |
|
Length |
|
|
A Python integer or floating-point value |
|
Apply to each line |
|
|
|
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, 5, False]
result = bake(input_value, [{"op": 'Drop bytes', "args": args}])
print(result)
Pipeline example
from pychef import Pipeline
args = [0, 5, False]
transform = Pipeline().then('Drop bytes', *args)
result = transform(b"example")
Dedicated operation module
The registered entry point lives in
pychef.operations.by_operation.drop_bytes. Direct calls
receive the input value and a positional argument tuple:
from pychef.operations.by_operation.drop_bytes import run
result = run(b"example", tuple([0, 5, False]))
- pychef.operations.by_operation.drop_bytes.run(value, args)
Run this operation using its shared internal implementation.
- Parameters:
value (str | bytes)
args (Sequence[Any])
- Return type:
str | bytes