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Mini Shell
Mini Shell
from sympy.tensor.functions import TensorProduct
from sympy import MatrixSymbol, Matrix, 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), [[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([1, 2], [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), [[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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