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update type hints and formatting

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This commit is contained in:
Jan Petykiewicz 2022-11-20 19:56:45 -08:00
commit bec0137c99
6 changed files with 23 additions and 17 deletions
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10
meanas/fdfd/bloch.py
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@ -413,8 +413,8 @@ def find_k(
band: int = 0,
k_bounds: Tuple[float, float] = (0, 0.5),
k_guess: Optional[float] = None,
solve_callback: Optional[Callable[[...], None]] = None,
iter_callback: Optional[Callable[[...], None]] = None,
solve_callback: Optional[Callable[..., None]] = None,
iter_callback: Optional[Callable[..., None]] = None,
) -> Tuple[float, float, NDArray[numpy.complex128], NDArray[numpy.complex128]]:
"""
Search for a bloch vector that has a given frequency.
@ -440,7 +440,7 @@ def find_k(
"""
direction = numpy.array(direction) / norm(direction)
k_bounds = tuple(sorted(k_bounds))
k_bounds = tuple(sorted(k_bounds)) # type: ignore # we know the length already...
assert len(k_bounds) == 2
if k_guess is None:
@ -481,7 +481,7 @@ def eigsolve(
max_iters: int = 10000,
reset_iters: int = 100,
y0: Optional[ArrayLike] = None,
callback: Optional[Callable[[...], None]] = None,
callback: Optional[Callable[..., None]] = None,
) -> Tuple[NDArray[numpy.complex128], NDArray[numpy.complex128]]:
"""
Find the first (lowest-frequency) num_modes eigenmodes with Bloch wavevector
@ -531,7 +531,7 @@ def eigsolve(
if y0 is None:
Z = numpy.random.rand(*y_shape) + 1j * numpy.random.rand(*y_shape)
else:
Z = y0
Z = numpy.array(y0, copy=False)
while True:
Z *= num_modes / norm(Z)