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- from sympy.tensor.functions import TensorProduct
- from sympy.matrices.dense import Matrix
- from sympy.matrices.expressions.matexpr import MatrixSymbol
- from sympy.tensor.array import Array
- from sympy.abc import x, y, z
- from sympy.abc import i, j, k, l
- A = MatrixSymbol("A", 3, 3)
- B = MatrixSymbol("B", 3, 3)
- C = MatrixSymbol("C", 3, 3)
- def test_TensorProduct_construction():
- assert TensorProduct(3, 4) == 12
- assert isinstance(TensorProduct(A, A), TensorProduct)
- expr = TensorProduct(TensorProduct(x, y), z)
- assert expr == x*y*z
- expr = TensorProduct(TensorProduct(A, B), C)
- assert expr == TensorProduct(A, B, C)
- expr = TensorProduct(Matrix.eye(2), Array([[0, -1], [1, 0]]))
- assert expr == Array([
- [
- [[0, -1], [1, 0]],
- [[0, 0], [0, 0]]
- ],
- [
- [[0, 0], [0, 0]],
- [[0, -1], [1, 0]]
- ]
- ])
- def test_TensorProduct_shape():
- expr = TensorProduct(3, 4, evaluate=False)
- assert expr.shape == ()
- assert expr.rank() == 0
- expr = TensorProduct(Array([1, 2]), Array([x, y]), evaluate=False)
- assert expr.shape == (2, 2)
- assert expr.rank() == 2
- expr = TensorProduct(expr, expr, evaluate=False)
- assert expr.shape == (2, 2, 2, 2)
- assert expr.rank() == 4
- expr = TensorProduct(Matrix.eye(2), Array([[0, -1], [1, 0]]), evaluate=False)
- assert expr.shape == (2, 2, 2, 2)
- assert expr.rank() == 4
- def test_TensorProduct_getitem():
- expr = TensorProduct(A, B)
- assert expr[i, j, k, l] == A[i, j]*B[k, l]
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