[fdfd.bloch] drop unnecessary noqas
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@ -238,7 +238,7 @@ def maxwell_operator(
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# cross product and transform into xyz basis
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# cross product and transform into xyz basis
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d_xyz = (n * hin_m
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d_xyz = (n * hin_m
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- m * hin_n) * k_mag # noqa: E128
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- m * hin_n) * k_mag
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# divide by epsilon
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# divide by epsilon
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temp = ifftn(d_xyz, axes=range(3)) # reuses d_xyz if using pyfftw
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temp = ifftn(d_xyz, axes=range(3)) # reuses d_xyz if using pyfftw
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@ -254,7 +254,7 @@ def maxwell_operator(
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else:
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else:
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# transform from mn to xyz
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# transform from mn to xyz
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b_xyz = (m * b_m[:, :, :, None]
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b_xyz = (m * b_m[:, :, :, None]
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+ n * b_n[:, :, :, None]) # noqa: E128
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+ n * b_n[:, :, :, None])
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# divide by mu
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# divide by mu
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temp = ifftn(b_xyz, axes=range(3))
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temp = ifftn(b_xyz, axes=range(3))
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@ -305,7 +305,7 @@ def hmn_2_exyz(
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def operator(h: NDArray[numpy.complex128]) -> cfdfield_t:
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def operator(h: NDArray[numpy.complex128]) -> cfdfield_t:
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hin_m, hin_n = (hi.reshape(shape) for hi in numpy.split(h, 2))
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hin_m, hin_n = (hi.reshape(shape) for hi in numpy.split(h, 2))
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d_xyz = (n * hin_m
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d_xyz = (n * hin_m
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- m * hin_n) * k_mag # noqa: E128
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- m * hin_n) * k_mag
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# divide by epsilon
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# divide by epsilon
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return numpy.moveaxis(ifftn(d_xyz, axes=range(3)) / epsilon, 3, 0)
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return numpy.moveaxis(ifftn(d_xyz, axes=range(3)) / epsilon, 3, 0)
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@ -403,7 +403,7 @@ def inverse_maxwell_operator_approx(
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else:
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else:
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# transform from mn to xyz
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# transform from mn to xyz
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h_xyz = (m * hin_m[:, :, :, None]
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h_xyz = (m * hin_m[:, :, :, None]
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+ n * hin_n[:, :, :, None]) # noqa: E128
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+ n * hin_n[:, :, :, None])
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# multiply by mu
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# multiply by mu
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temp = ifftn(h_xyz, axes=range(3))
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temp = ifftn(h_xyz, axes=range(3))
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@ -416,7 +416,7 @@ def inverse_maxwell_operator_approx(
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# cross product and transform into xyz basis
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# cross product and transform into xyz basis
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e_xyz = (n * b_m
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e_xyz = (n * b_m
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- m * b_n) / k_mag # noqa: E128
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- m * b_n) / k_mag
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# multiply by epsilon
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# multiply by epsilon
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temp = ifftn(e_xyz, axes=range(3))
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temp = ifftn(e_xyz, axes=range(3))
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