def initialize(self):
self._headers = self._preread_headers()
self._files_sorted = list(
sorted(self._files(),
key=lambda f: f.fields['sequence_first_image']))
try:
first_file = self._files_sorted[0]
except IndexError:
raise DataSetException("no files found")
shape = Shape(self._scan_size + first_file.fields['image_size'],
sig_dims=self._sig_dims)
raw_shape = shape.flatten_nav()
dtype = first_file.fields['dtype']
meta = DataSetMeta(shape=shape, raw_shape=raw_shape, dtype=dtype)
self._meta = meta
return self
def test_shape_flatten_nav():
s = Shape((16, 16, 128, 128), sig_dims=2)
assert tuple(s.flatten_nav()) == (16 * 16, 128, 128)
