# Source code for qci_client.optimization.enum

    # Copyright 2023-2024, Quantum Computing Incorporated
    """Enumerations."""

    from enum import Enum

    class JobType(Enum):
        """Enumeration of all job types, which are specific to qci-client."""

        SAMPLE_QUBO = "sample-qubo"
        """"""
        GRAPH_PARTITIONING = "graph-partitioning"
        """"""
        SAMPLE_CONTRAINT = "sample-constraint"
        """"""
        SAMPLE_HAMILTONIAN = "sample-hamiltonian"
        """"""
        SAMPLE_HAMILTONIAN_ISING = "sample-hamiltonian-ising"
        """"""

    JOB_TYPES = frozenset(type for type in JobType)

    class ProblemType(Enum):
        """Enumeration of all problem types, where values match jobs API values."""

        GP = "graph_partitioning"
        """"""
        IHO = "ising_hamiltonian_optimization"
        """"""
        NQHO = "normalized_qudit_hamiltonian_optimization"
        """"""
        NQHO_CONTINUOUS = "normalized_qudit_hamiltonian_optimization_continuous"
        """"""
        NQHO_INTEGER = "normalized_qudit_hamiltonian_optimization_integer"
        """"""
        QLCBO = "quadratic_linearly_constrained_binary_optimization"
        """"""
        QUBO = "quadratic_unconstrained_binary_optimization"
        """"""

    PROBLEM_TYPES = frozenset(type for type in ProblemType)

    class DeviceType(Enum):
        """Enumeration of all device types, where values match jobs API values."""

        DIRAC1 = "dirac-1"
        """"""
        DIRAC2 = "dirac-2"
        """"""
        DIRAC3 = "dirac-3"
        """"""

    DEVICE_TYPES = frozenset(type for type in DeviceType)
    DEVICE_TYPES_QUBIT = frozenset((DeviceType.DIRAC1,))
    DEVICE_TYPES_QUDIT = frozenset((DeviceType.DIRAC2, DeviceType.DIRAC3))

    DEVICE_TYPES_SORTED = [type.value for type in DEVICE_TYPES]
    DEVICE_TYPES_SORTED.sort()
    DEVICE_TYPES_SORTED = tuple(DEVICE_TYPES_SORTED)

    class JobStatus(Enum):
        """Enumeration of all jobs statuses, where values match jobs API values."""

        SUBMITTED = "SUBMITTED"
        """"""
        QUEUED = "QUEUED"
        """"""
        RUNNING = "RUNNING"
        """"""
        COMPLETED = "COMPLETED"
        """"""
        ERRORED = "ERRORED"
        """"""
        CANCELLED = "CANCELLED"
        """"""

    JOB_STATUSES = frozenset(status for status in JobStatus)
    JOB_STATUSES_FINAL = frozenset(
        (JobStatus.COMPLETED, JobStatus.ERRORED, JobStatus.CANCELLED)
    )

    class FileType(Enum):
        """Enumeration of all file types, where values match files API values."""

        CONSTRAINTS = "constraints"
        """"""
        GRAPH = "graph"
        """"""
        HAMILTONIAN = "hamiltonian"
        """"""
        OBJECTIVE = "objective"
        """"""
        POLYNOMIAL = "polynomial"
        """"""
        QUBO = "qubo"
        """"""
        GP_RESULTS = "graph_partitioning_results"
        """"""
        IHO_RESULTS = "ising_hamiltonian_optimization_results"
        """"""
        NQHO_CONTINUOUS_RESULTS = (
            "normalized_qudit_hamiltonian_optimization_continuous_results"
        )
        """"""
        NQHO_INTEGER_RESULTS = "normalized_qudit_hamiltonian_optimization_integer_results"
        """"""
        NQHO_RESULTS = "normalized_qudit_hamiltonian_optimization_results"
        """"""
        QLCBO_RESULTS = "quadratic_linearly_constrained_binary_optimization_results"
        """"""
        QUBO_RESULTS = "quadratic_unconstrained_binary_optimization_results"
        """"""

    FILE_TYPES = frozenset(type for type in FileType)
    FILE_TYPES_JOB_INPUTS = frozenset(
        type for type in FileType if "results" not in type.value
    )
    FILE_TYPES_JOB_INPUTS_MATRIX = FILE_TYPES_JOB_INPUTS - frozenset(
        [FileType.GRAPH, FileType.POLYNOMIAL]
    )
    FILE_TYPES_JOB_INPUTS_NON_GRAPH = FILE_TYPES_JOB_INPUTS - frozenset([FileType.GRAPH])
    FILE_TYPES_JOB_RESULTS = frozenset(type for type in FileType if "results" in type.value)

    def get_file_type(*, file: dict) -> FileType:
        """Get file type from a file."""
        file_config_keys = list(file["file_config"].keys())

        if len(file_config_keys) != 1:
            raise ValueError(
                "improper number of files specified in file_config (should be exactly one)"
            )

        return FileType(file_config_keys[0])