|
| | test_matrix.bool_t = np.dtype(np.bool_) |
| |
| | test_matrix.complex128_t = np.dtype(np.complex128) |
| |
| | test_matrix.complex256_t = np.dtype(np.clongdouble) |
| |
| | test_matrix.complex64_t = np.dtype(np.complex64) |
| |
| | test_matrix.float32_t = np.dtype(np.float32) |
| |
| | test_matrix.float64_t = np.dtype(np.float64) |
| |
| | test_matrix.int16_t = np.dtype(np.int16) |
| |
| | test_matrix.int32_t = np.dtype(np.int32) |
| |
| | test_matrix.int64_t = np.dtype(np.int64) |
| |
| | test_matrix.int8_t = np.dtype(np.int8) |
| |
| | test_matrix.long_t = np.dtype(np.int32 if platform.system() == "Windows" else np.int64) |
| |
| | test_matrix.longlong_t = np.dtype(np.longlong) |
| |
| | test_matrix.M = eigenpy.emptyMatrix() |
| |
| | test_matrix.M33 = eigenpy.naturals33(verbose) |
| |
| | test_matrix.mat = np.arange(0, 10).reshape(2, 5) |
| |
| | test_matrix.mat1x1 = eigenpy.matrix1x1(value) |
| |
| | test_matrix.mat6 = eigenpy.matrix6(0.0) |
| |
| | test_matrix.Mcheck = np.reshape(np.array(range(9), np.double), [3, 3]) |
| |
| | test_matrix.Mref = np.reshape(np.array(range(64), np.double), [8, 8]) |
| |
| | test_matrix.Mref_from_base = eigenpy.base(Mref) |
| |
| | test_matrix.Mref_from_plain = eigenpy.plain(Mref) |
| |
| | test_matrix.uint16_t = np.dtype(np.uint16) |
| |
| | test_matrix.uint32_t = np.dtype(np.uint32) |
| |
| | test_matrix.uint64_t = np.dtype(np.uint64) |
| |
| | test_matrix.uint8_t = np.dtype(np.uint8) |
| |
| | test_matrix.ulong_t = np.dtype(np.uint32 if platform.system() == "Windows" else np.uint64) |
| |
| | test_matrix.ulonglong_t = np.dtype(np.ulonglong) |
| |
| | test_matrix.v = eigenpy.emptyVector() |
| |
| float | test_matrix.value = 2.0 |
| |
| | test_matrix.vcheck = np.array(range(3), np.double).T |
| |
| | test_matrix.vec = np.arange(0, 10) |
| |
| | test_matrix.vec1x1 = eigenpy.vector1x1(value) |
| |
| bool | test_matrix.verbose = True |
| |