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Make tests in test_noisy_density_matrix.py use the BranchSelector feature #425

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Make tests in test_noisy_density_matrix.py use the BranchSelector feature #425

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3179b93
Make tests use the BranchSelector feature
tibisabau Feb 5, 2026
977e290
Update tests/test_noisy_density_matrix.py
tibisabau Feb 6, 2026
9dc02ac
Update tests/test_noisy_density_matrix.py
tibisabau Feb 6, 2026
ecde9b2
Update tests/test_noisy_density_matrix.py
tibisabau Feb 6, 2026
70ab21e
Update tests/test_noisy_density_matrix.py
tibisabau Feb 6, 2026
aa0e14f
Fix ruff and mypy
tibisabau Feb 6, 2026
a36cea4
fix: Remove loops and cast
tibisabau Feb 6, 2026
737d36d
Update test_noisy_density_matrix.py based on issue 428 fix
tibisabau Feb 14, 2026
fff9592
Fix mypy errors
tibisabau Feb 19, 2026
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2 changes: 1 addition & 1 deletion graphix/flow/_find_gpflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -258,7 +258,7 @@ def to_correction_function(self) -> dict[int, frozenset[int]]:
correction_function: dict[int, frozenset[int]] = {}
for node in col_tags:
i = col_tags.index(node)
correction_set = {row_tags[j] for j in np.flatnonzero(self.c_matrix[:, i])}
correction_set = {row_tags[int(j)] for j in np.flatnonzero(self.c_matrix[:, i])}
correction_function[node] = frozenset(correction_set)
return correction_function

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12 changes: 6 additions & 6 deletions tests/test_density_matrix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -302,7 +302,7 @@ def test_cnot_success(self, fx_rng: Generator) -> None:
edge = (0, 1)
dm.cnot(edge)
psi = psi.reshape((2, 2))
psi = np.tensordot(CNOT_TENSOR, psi, ((2, 3), edge)) # type: ignore[assignment]
psi = np.tensordot(CNOT_TENSOR, psi, ((2, 3), edge))
psi = np.moveaxis(psi, (0, 1), edge)
expected_matrix2 = np.outer(psi, psi.conj())
assert np.allclose(dm.rho, expected_matrix2)
Expand All @@ -320,7 +320,7 @@ def test_cnot_success(self, fx_rng: Generator) -> None:
edge = (u, v)
dm.cnot(edge)
psi = psi.reshape((2,) * n)
psi = np.tensordot(CNOT_TENSOR, psi, ((2, 3), edge)) # type: ignore[assignment]
psi = np.tensordot(CNOT_TENSOR, psi, ((2, 3), edge))
psi = np.moveaxis(psi, (0, 1), edge)
expected_matrix3 = np.outer(psi, psi.conj())
assert np.allclose(dm.rho, expected_matrix3)
Expand Down Expand Up @@ -354,7 +354,7 @@ def test_swap_success(self, fx_rng: Generator) -> None:
dm.swap(edge)
rho = dm.rho
psi = psi.reshape((2, 2))
psi = np.tensordot(SWAP_TENSOR, psi, ((2, 3), edge)) # type: ignore[assignment]
psi = np.tensordot(SWAP_TENSOR, psi, ((2, 3), edge))
psi = np.moveaxis(psi, (0, 1), edge)
expected_matrix2 = np.outer(psi, psi.conj())
assert np.allclose(rho, expected_matrix2)
Expand Down Expand Up @@ -392,7 +392,7 @@ def test_entangle_success(self, fx_rng: Generator) -> None:
dm.entangle(edge)
rho = dm.rho
psi = psi.reshape((2, 2))
psi = np.tensordot(CZ_TENSOR, psi, ((2, 3), edge)) # type: ignore[assignment]
psi = np.tensordot(CZ_TENSOR, psi, ((2, 3), edge))
psi = np.moveaxis(psi, (0, 1), edge)
expected_matrix2 = np.outer(psi, psi.conj())
assert np.allclose(rho, expected_matrix2)
Expand Down Expand Up @@ -443,7 +443,7 @@ def test_evolve_success(self, fx_rng: Generator) -> None:
rho = dm.rho

psi = psi.reshape((2,) * nqubits)
psi = np.tensordot(op.reshape((2,) * 2 * nqubits_op), psi, ((2, 3), edge)) # type: ignore[assignment]
psi = np.tensordot(op.reshape((2,) * 2 * nqubits_op), psi, ((2, 3), edge))
psi = np.moveaxis(psi, (0, 1), edge)
expected_matrix = np.outer(psi, psi.conj())
assert np.allclose(rho, expected_matrix)
Expand All @@ -468,7 +468,7 @@ def test_evolve_success(self, fx_rng: Generator) -> None:
rho = dm.rho

psi = psi.reshape((2,) * nqubits)
psi = np.tensordot(op.reshape((2,) * 2 * nqubits_op), psi, ((3, 4, 5), targets)) # type: ignore[assignment]
psi = np.tensordot(op.reshape((2,) * 2 * nqubits_op), psi, ((3, 4, 5), targets))
psi = np.moveaxis(psi, (0, 1, 2), targets)
expected_matrix = np.outer(psi, psi.conj())
assert np.allclose(rho, expected_matrix)
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