Eliminate iterations over lists (assume ndarray instead of list of ndarrays)
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@ -71,9 +71,7 @@ def maxwell_e(dt: float, dxes: dx_lists_t = None) -> functional_matrix:
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curl_h_fun = curl_h(dxes)
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def me_fun(e: field_t, h: field_t, epsilon: field_t):
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ch = curl_h_fun(h)
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for ei, ci, epsi in zip(e, ch, epsilon):
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ei += dt * ci / epsi
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e += dt * curl_h_fun(h)/ epsilon
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return e
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return me_fun
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@ -83,9 +81,7 @@ def maxwell_h(dt: float, dxes: dx_lists_t = None) -> functional_matrix:
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curl_e_fun = curl_e(dxes)
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def mh_fun(e: field_t, h: field_t):
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ce = curl_e_fun(e)
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for hi, ci in zip(h, ce):
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hi -= dt * ci
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h -= dt * curl_e_fun(e)
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return h
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return mh_fun
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