Operator-based soruce
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@ -170,18 +170,25 @@ def compute_source(E: field_t,
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src_order = numpy.roll(range(3), -axis)
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src_order = numpy.roll(range(3), -axis)
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exp_iphi = numpy.exp(1j * polarity * wavenumber * dxes[1][axis][slices[axis]])
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exp_iphi = numpy.exp(1j * polarity * wavenumber * dxes[1][axis][slices[axis]])
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J[src_order[1]] = +exp_iphi * H[src_order[2]] * polarity
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J[src_order[2]] = -exp_iphi * H[src_order[1]] * polarity
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rollby = -1 if polarity > 0 else 0
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rollby = -1 if polarity > 0 else 0
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M[src_order[1]] = +numpy.roll(E[src_order[2]], rollby, axis=axis)
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# J[src_order[1]] = +exp_iphi * H[src_order[2]] * polarity / dxes[1][axis][slices[axis]]
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M[src_order[2]] = -numpy.roll(E[src_order[1]], rollby, axis=axis)
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# J[src_order[2]] = -exp_iphi * H[src_order[1]] * polarity / dxes[1][axis][slices[axis]]
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# M[src_order[1]] = +numpy.roll(E[src_order[2]], rollby, axis=axis) / dxes[0][axis][slices[axis]]
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# M[src_order[2]] = -numpy.roll(E[src_order[1]], rollby, axis=axis) / dxes[0][axis][slices[axis]]
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s2 = [slice(None), slice(None), slice(None)]
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s2[axis] = slice(slices[axis].start, slices[axis].stop)
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s2 = (src_order, *s2)
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J[s2] = numpy.roll(functional.curl_h(dxes=dxes)(H), rollby, axis=axis+1)[s2] * polarity * exp_iphi
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M[s2] = numpy.roll(functional.curl_e(dxes=dxes)(E), -rollby, axis=axis+1)[s2]
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m2j = functional.m2j(omega, dxes, mu)
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m2j = functional.m2j(omega, dxes, mu)
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Jm = m2j(M)
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Jm = m2j(M)
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Jtot = J + Jm
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Jtot = J + Jm
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return Jtot
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return Jtot.conj()
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def compute_overlap_e(E: field_t,
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def compute_overlap_e(E: field_t,
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@ -332,7 +339,6 @@ def compute_source_q(E: field_t,
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Jm = m2j(M)
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Jm = m2j(M)
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Jtot = J + Jm
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Jtot = J + Jm
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return Jtot, J, M
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return Jtot, J, M
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