def test_add_argparse_options():
import argparse
parser = argparse.ArgumentParser()
add_argparse_options(parser)
# Test default values
args = parser.parse_args([])
get_downscaler(args.downscaling_method, vars(args))
# Test correct parsing
args = parser.parse_args(["--downscaling-method", "average"])
assert args.downscaling_method == "average"
assert args.outside_value is None
args = parser.parse_args(
["--downscaling-method", "average", "--outside-value", "255"])
assert args.downscaling_method == "average"
assert args.outside_value == 255.
args = parser.parse_args(["--downscaling-method", "majority"])
assert args.downscaling_method == "majority"
args = parser.parse_args(["--downscaling-method", "stride"])
assert args.downscaling_method == "stride"
def test_get_downscaler_auto_segmentation():
d = get_downscaler("auto", info={"type": "segmentation"})
assert isinstance(d, StridingDownscaler)
def test_get_downscaler(method, options):
d = get_downscaler(method, options)
assert isinstance(d, Downscaler)
def test_get_downscaler_auto_image():
d = get_downscaler("auto", info={"type": "image"})
assert isinstance(d, AveragingDownscaler)