Test that numpy array shares memory with SimpleITK image

Test the paste filter

Test functionality of PathType object wrapping

Test the custom pickling and un-pickling interface

Test the custom pickling and un-pickling interface

Test the custom Resample procedure.

Benchmark conversion performance between SimpleITK and NumPy Compares performance between: 1. GetArrayFromImage (copy operation) 2. GetAr

Test reading and writing images with different types and formats

Test keyword arguments in ReadImage method

Test reading and writing transforms

Test ImageBuffer creation and memoryview for all scalar types

Test methods for setting and getting pixel

testing __setitem__ with pasting to roi

Test the __setitem__ with a string to access meta-data dictionary

Test basic image showing functionality This test verifies that: 1. The Show command executes successfully 2. The viewer command is proper

Test that Show command uses initial environment setting This test verifies that: 1. Show command works even after changing SITK_SHOW_COMMAND

Test thread concurrent reading of images in various formats.

Test converting an image to numpy and back

Test converting an image to NumPy array view and back This test verifies that: 1. An image can be converted to a NumPy array view 2. The

Test conversion from all SimpleITK pixel types to numpy types

Test conversion of all SimpleITK pixel types to NumPy array view

Test converting vector images between SimpleITK and numpy

Test converting vector images between NumPy array view and SimpleITK Tests both 2D and 3D vector images, verifying: 1. Array shape is correct

Test ImageBuffer creation and memoryview for vector types

Test writing images using pathlib.Path objects

Test basic functionality of ImageRead and ImageWrite procedures

Fixture setting up the dummy viewer command

Destructor