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"sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] qinfo = ["cvxpy"] tensorflow = ["tensorflow"] +torch = ["torch"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.12" -content-hash = "f2af75884607f9e26cb077dadd7e49f4037056b0fc096cb37f389b01b0732f74" +content-hash = "b167edb192763e8c70eeef729e281f4ebbef8bdee41eb4d8692e3784babfe75e" diff --git a/pyproject.toml b/pyproject.toml index d0490b164e..2febb035ff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,7 +64,6 @@ cirq = "^1.1.0" cvxpy = "^1.3.1" ply = "^3.11" scikit-learn = "^1.2.1" -dill = "^0.3.6" pytest-cov = "^4.0.0" pylint = "^3.0.3" matplotlib = "^3.7.0" @@ -102,7 +101,8 @@ qibotn = { git = "https://github.com/qiboteam/qibotn.git" } [tool.poetry.extras] tensorflow = ["tensorflow"] -qinfo = ["cvxpy"] +torch = ["torch"] +qinfo = ["cvxpy", "stim"] [tool.pylint.reports] output-format = "colorized" diff --git a/tests/test_dill.py b/tests/test_dill.py deleted file mode 100644 index aaf312025f..0000000000 --- a/tests/test_dill.py +++ /dev/null @@ -1,127 +0,0 @@ -import pickle - -import dill -import numpy as np -import pytest - - -def test_pickle_backend(backend): - serial = pickle.dumps(backend) - new_backend = pickle.loads(serial) - assert type(new_backend) == type(backend) - if hasattr(backend, "np"): - assert new_backend.np is backend.np - - -def test_dill_backends(backend): - serial = dill.dumps(backend) - new_backend = dill.loads(serial) - assert type(new_backend) == type(backend) - assert new_backend.name == backend.name - assert new_backend.platform == backend.platform - assert type(new_backend.matrices) == type(backend.matrices) - - -def test_dill_global_backend(): - from qibo.backends import GlobalBackend - - backend = GlobalBackend() - serial = dill.dumps(backend) - new_backend = dill.loads(serial) - assert type(new_backend) == type(backend) - assert new_backend.name == backend.name - - -def test_dill_circuit(accelerators): - from qibo import Circuit, gates - - circuit = Circuit(5, accelerators=accelerators) - circuit.add(gates.H(i) for i in range(5)) - serial = dill.dumps(circuit) - new_circuit = dill.loads(serial) - assert type(new_circuit) == type(circuit) - assert new_circuit.nqubits == circuit.nqubits - assert new_circuit.to_qasm() == circuit.to_qasm() - - -def test_dill_circuit_result(backend): - from qibo.models import QFT - - circuit = QFT(4) - result = backend.execute_circuit(circuit) - serial = dill.dumps(result) - new_result = dill.loads(serial) - assert type(new_result) == type(result) - assert str(new_result) == str(result) - backend.assert_allclose(new_result, result) - - -def test_dill_symbols(): - from qibo.symbols import Symbol, X - - matrix = np.random.random((2, 2)) - s = Symbol(0, matrix) - x = X(1) - ns = dill.loads(dill.dumps(s)) - nx = dill.loads(dill.dumps(x)) - assert type(ns) == type(s) - assert type(nx) == type(x) - np.testing.assert_allclose(nx.matrix, x.matrix) - np.testing.assert_allclose(ns.matrix, s.matrix) - - -def test_dill_measurement_symbol(backend): - from qibo import Circuit, gates - - circuit = Circuit(1, density_matrix=True) - circuit.add(gates.H(0)) - cresult = circuit.add(gates.M(0, collapse=True)) - result = backend.execute_circuit(circuit, nshots=1) - symbol = cresult.symbols[0] - nsymbol = dill.loads(dill.dumps(symbol)) - assert type(nsymbol) == type(symbol) - backend.assert_allclose(nsymbol.outcome(), symbol.outcome()) - - -def test_dill_hamiltonian(backend): - from qibo.hamiltonians import XXZ, Hamiltonian - - matrix = np.random.random((4, 4)) - ham1 = Hamiltonian(2, matrix, backend=backend) - ham2 = XXZ(3, backend=backend) - serial1 = dill.dumps(ham1) - serial2 = dill.dumps(ham2) - nham1 = dill.loads(serial1) - nham2 = dill.loads(serial2) - assert type(nham1) == type(ham1) - assert type(nham2) == type(ham2) - backend.assert_allclose(nham1.matrix, nham1.matrix) - backend.assert_allclose(nham2.matrix, nham2.matrix) - - -def test_dill_symbolic_hamiltonian(backend): - from qibo.hamiltonians import SymbolicHamiltonian - from qibo.symbols import X, Y, Z - - form = X(0) * X(1) + Y(0) * Y(1) + Z(0) * Z(1) - ham = SymbolicHamiltonian(form, backend=backend) - serial = dill.dumps(ham) - nham = dill.loads(serial) - assert type(nham) == type(ham) - backend.assert_allclose(nham.matrix, ham.matrix) - - -def test_dill_variational_models(backend): - from qibo import gates - from qibo.hamiltonians import TFIM - from qibo.models import QAOA, VQE, Circuit - - ham = TFIM(4, backend=backend) - circuit = Circuit(4) - circuit.add(gates.RX(i, theta=0) for i in range(4)) - vqe = VQE(circuit, ham) - qaoa = QAOA(ham) - nvqe = dill.loads(dill.dumps(vqe)) - nqaoa = dill.loads(dill.dumps(qaoa)) - assert type(nvqe) == type(vqe) - assert type(nqaoa) == type(qaoa)