tensorflow_quantum/datasets/spin_system.py [265:300]:
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    resolved_circuits = []
    hamiltonians = []
    order_parameters = []
    additional_info = []
    labels = []
    # Load the data and append to the lists.
    for i, directory in enumerate(x for x in os.listdir(data_path)):
        # The folders are named according to the order value data they contain.
        g = float(directory)
        with open(os.path.join(data_path, directory, "stats.txt"), "r") as file:
            lines = file.readlines()
            res_e = float(lines[0].split("=")[1].strip("\n"))
            fidelity = float(lines[2].split("=")[1].strip("\n"))
        order_parameters.append(g)
        params = np.load(os.path.join(data_path, directory, "params.npy")) \
                 / np.pi
        # Parameters are stored as np.float32, but cirq expects np.float64
        # See https://github.com/quantumlib/Cirq/issues/3359
        params = params.astype(np.float)
        additional_info.append(
            SpinSystemInfo(g=g,
                           gs=np.load(
                               os.path.join(data_path, directory,
                                            "groundstate.npy"))[:, 0],
                           gs_energy=np.load(
                               os.path.join(data_path, directory,
                                            "energy.npy"))[0],
                           res_energy=res_e,
                           fidelity=fidelity,
                           params=dict(zip(symbol_names, params.flatten())),
                           var_circuit=circuit))

        # Resolve the circuit parameters.
        resolved_circuit = cirq.resolve_parameters(circuit,
                                                   additional_info[i].params)
        resolved_circuits.append(resolved_circuit)
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tensorflow_quantum/datasets/spin_system.py [502:536]:
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    resolved_circuits = []
    hamiltonians = []
    order_parameters = []
    additional_info = []
    labels = []
    # Load the data and append to the lists.
    for i, directory in enumerate(x for x in os.listdir(data_path)):
        # The folders are named according to the order value data they contain.
        g = float(directory)
        with open(os.path.join(data_path, directory, "stats.txt"), "r") as file:
            lines = file.readlines()
            res_e = float(lines[0].split("=")[1].strip("\n"))
            fidelity = float(lines[2].split("=")[1].strip("\n"))
        order_parameters.append(g)
        params = np.load(os.path.join(data_path, directory, "params.npy")) \
                 / np.pi
        # Parameters are stored as np.float32, but cirq expects np.float64
        # See https://github.com/quantumlib/Cirq/issues/3359
        params = params.astype(np.float)
        additional_info.append(
            SpinSystemInfo(g=g,
                           gs=np.load(
                               os.path.join(data_path, directory,
                                            "groundstate.npy"))[:, 0],
                           gs_energy=np.load(
                               os.path.join(data_path, directory,
                                            "energy.npy"))[0],
                           res_energy=res_e,
                           fidelity=fidelity,
                           params=dict(zip(symbol_names, params.flatten())),
                           var_circuit=circuit))
        # Resolve the circuit parameters.
        resolved_circuit = cirq.resolve_parameters(circuit,
                                                   additional_info[i].params)
        resolved_circuits.append(resolved_circuit)
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