Cover Image
Category: Image
Status: Registered and callable in the CyberChef 11.3.0 compatibility inventory.
Input / output: ArrayBuffer → ArrayBuffer
What it does
Scales the image to the given width and height, keeping the aspect ratio. The image may be clipped.
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 |
|---|---|---|---|---|
|
Width |
|
|
A Python integer or floating-point value |
|
Height |
|
|
A Python integer or floating-point value |
|
Horizontal align |
|
|
|
|
Vertical align |
|
|
|
|
Resizing algorithm |
|
|
|
|
Background |
|
|
Any value supported by this argument type |
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 = [100, 100, 'Center', 'Middle', 'Nearest Neighbour', True]
result = bake(input_value, [{"op": 'Cover Image', "args": args}])
print(result)
Pipeline example
from pychef import Pipeline
args = [100, 100, 'Center', 'Middle', 'Nearest Neighbour', True]
transform = Pipeline().then('Cover Image', *args)
result = transform(b"example")
Dedicated operation module
The registered entry point lives in
pychef.operations.by_operation.cover_image. Direct calls
receive the input value and a positional argument tuple:
from pychef.operations.by_operation.cover_image import run
result = run(b"example", tuple([100, 100, 'Center', 'Middle', 'Nearest Neighbour', True]))
- pychef.operations.by_operation.cover_image.run(value, args)
Run this operation using its shared internal implementation.
- Parameters:
value (str | bytes)
args (Sequence[Any])
- Return type:
str | bytes