qml.assert_equal¶
-
assert_equal
(op1, op2, check_interface=True, check_trainability=True, rtol=1e-05, atol=1e-09)[source]¶ Function to assert that two operators, measurements, or tapes are equal
- Parameters
op1 (Operator or MeasurementProcess or QuantumTape) – First object to compare
op2 (Operator or MeasurementProcess or QuantumTape) – Second object to compare
check_interface (bool, optional) – Whether to compare interfaces. Default:
True
.check_trainability (bool, optional) – Whether to compare trainability status. Default:
True
.rtol (float, optional) – Relative tolerance for parameters.
atol (float, optional) – Absolute tolerance for parameters.
- Returns
None
- Raises
AssertionError – An
AssertionError
is raised if the two operators are not equal.
See also
Example
>>> op1 = qml.RX(np.array(0.12), wires=0) >>> op2 = qml.RX(np.array(1.23), wires=0) >>> qml.assert_equal(op1, op2) AssertionError: op1 and op2 have different data. Got (array(0.12),) and (array(1.23),)
>>> h1 = qml.Hamiltonian([1, 2], [qml.PauliX(0), qml.PauliY(1)]) >>> h2 = qml.Hamiltonian([1, 1], [qml.PauliX(0), qml.PauliY(1)]) >>> qml.assert_equal(h1, h2) AssertionError: op1 and op2 have different operands because op1 and op2 have different scalars. Got 2 and 1
code/api/pennylane.assert_equal
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