Comments (1)
I've done some more research on this:
-
Sphinx offers docstring preprocessing that seemed promising, but it doesn't appear that it's possible to modify the type of each detected object.
-
I also looked into trying to spoof the type of
cached_property
, which isn't promising.
Unfortunately, I think the only way to do this is to use the property()
function definition for the class attributes that are currently defined as "cached properties". For Plane.phase
, it would look something like this:
class Plane:
def __init__(self, phase=0, ...):
self._phase = np.asarray(phase)
...
@property
def phase(self):
if self.cache.get('phase') is not None:
return self.cache.get('phase')
else:
return self._phase
@phase.setter
def phase(self, value):
self.cache.delete('phase')
if value is not None:
self._phase = np.asarray(value)
else:
self._phase = None
This will eliminate the use of the cached_property
decorator in the code, but it will still be useful when users subclass Plane
and define custom phase
attributes.
from lentil.
Related Issues (20)
- rescale() should accept 2-dimensional scale
- Add Plane.freeze() method
- Rethink plane transformations
- Allow in-place operations on Wavefront
- Python 3.9 breaks mat2ndarray.m HOT 2
- Update map_coordinates import
- Something in Numpy 1.22 causing test failure HOT 3
- Wavefront.insert function signature is inconsistent with what is actually happening
- Consider deprecating in-place operations
- ENH: propagate_dft should accept an optional mask HOT 3
- ENH: Clean up Plane.mask and Plane._slice HOT 1
- ENH: add propagate_fft() method
- Swap order of pixelscale and shape in propagate.propagate_dft
- ENH: build out infrastructure for working with tilted OPDs
- BUG: Inconsistent slice handling in Plane.multiply() HOT 1
- BUG: Unexpected behavior when Image.shape != Image.mask.shape
- NumPy alltrue deprecation
- Scipy simps deprecation
- BUG: Plane AttributeError: can't set attribute opd when redefining opd property in subclass
- DOC: readthedocs link 404s HOT 1
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from lentil.