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9ffb3dda5f
Functions returning specialized Eigen matrices like Eigen::DiagonalMatrix and Eigen::SelfAdjointView--which inherit from EigenBase but not DenseBase--isn't currently allowed; such classes are explicitly copyable into a Matrix (by definition), and so we can support functions that return them by copying the value into a Matrix then casting that resulting dense Matrix into a numpy.ndarray. This commit does exactly that.
56 lines
1002 B
Plaintext
56 lines
1002 B
Plaintext
should_give_NOT_OK = NOT OK
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fixed_r = OK
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fixed_c = OK
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pt_r(fixed_r) = OK
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pt_c(fixed_c) = OK
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pt_r(fixed_c) = OK
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pt_c(fixed_r) = OK
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dense_r = OK
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dense_c = OK
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pt_r(dense_r) = OK
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pt_c(dense_c) = OK
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pt_r(dense_c) = OK
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pt_c(dense_r) = OK
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sparse_r = OK
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sparse_c = OK
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pt_r(sparse_r) = OK
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pt_c(sparse_c) = OK
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pt_r(sparse_c) = OK
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pt_c(sparse_r) = OK
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double_row(first_row) = OK
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double_col(first_row) = OK
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double_row(first_col) = OK
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double_col(first_col) = OK
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double_mat_cm(0) = OK
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double_mat_rm(0) = OK
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double_mat_cm(1) = OK
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double_mat_rm(1) = OK
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double_mat_cm(2) = OK
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double_mat_rm(2) = OK
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cholesky1 OK
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cholesky2 OK
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cholesky3 OK
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cholesky4 OK
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cholesky5 OK
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cholesky6 OK
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diagonal() OK
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diagonal_1() OK
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diagonal_n(-5) OK
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diagonal_n(-4) OK
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diagonal_n(-3) OK
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diagonal_n(-2) OK
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diagonal_n(-1) OK
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diagonal_n(0) OK
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diagonal_n(1) OK
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diagonal_n(2) OK
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diagonal_n(3) OK
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diagonal_n(4) OK
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diagonal_n(5) OK
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diagonal_n(6) OK
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block(2,1,3,3) OK
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block(1,4,4,2) OK
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block(1,4,3,2) OK
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incr_diag OK
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symmetric_lower OK
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symmetric_upper OK
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