# Copyright Amazon.com Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.

import asyncio
import json
import threading
import time
import warnings
from unittest.mock import MagicMock, Mock, patch

import pytest
from botocore.exceptions import ClientError

from common_test_utils import MockS3
from jsonschema import validate

from braket.ahs.analog_hamiltonian_simulation import AnalogHamiltonianSimulation
from braket.annealing.problem import Problem, ProblemType
from braket.aws import AwsQuantumTask
from braket.aws.aws_quantum_task import _create_annealing_device_params
from braket.aws.aws_session import AwsSession
from braket.aws.queue_information import QuantumTaskQueueInfo, QueueType
from braket.circuits import Circuit
from braket.circuits.gates import PulseGate
from braket.circuits.serialization import (
    IRType,
    OpenQASMSerializationProperties,
    QubitReferenceType,
    SerializableProgram,
)
from braket.device_schema import GateModelParameters, error_mitigation
from braket.device_schema.dwave import (
    Dwave2000QDeviceParameters,
    DwaveAdvantageDeviceParameters,
    DwaveDeviceParameters,
)
from braket.device_schema.ionq import IonqDeviceParameters
from braket.device_schema.oqc import OqcDeviceParameters
from braket.device_schema.rigetti import RigettiDeviceParameters
from braket.device_schema.simulators import GateModelSimulatorDeviceParameters
from braket.error_mitigation.debias import Debias
from braket.ir.blackbird import Program as BlackbirdProgram
from braket.ir.openqasm import Program as OpenQASMProgram
from braket.parametric import FreeParameter
from braket.program_sets import CircuitBinding, ProgramSet
from braket.pulse import Frame, Port, PulseSequence
from braket.schema_common import BraketSchemaBase
from braket.tasks import (
    AnalogHamiltonianSimulationQuantumTaskResult,
    AnnealingQuantumTaskResult,
    GateModelQuantumTaskResult,
    PhotonicModelQuantumTaskResult,
    ProgramSetQuantumTaskResult,
)

S3_TARGET = AwsSession.S3DestinationFolder("foo", "bar")

IONQ_ARN = "device/qpu/ionq"
IQM_ARN = "device/qpu/iqm"
RIGETTI_ARN = "device/qpu/rigetti"
OQC_ARN = "device/qpu/oqc"
SIMULATOR_ARN = "device/quantum-simulator"
XANADU_ARN = "device/qpu/xanadu"

DEVICE_PARAMETERS = [
    (IONQ_ARN, IonqDeviceParameters),
    (RIGETTI_ARN, RigettiDeviceParameters),
    (OQC_ARN, OqcDeviceParameters),
    (SIMULATOR_ARN, GateModelSimulatorDeviceParameters),
]


@pytest.fixture
def aws_session():
    mock = Mock()
    _mock_metadata(mock, "RUNNING")
    return mock


@pytest.fixture
def quantum_task(aws_session):
    return AwsQuantumTask("foo:bar:arn", aws_session, poll_timeout_seconds=2)


@pytest.fixture
def quantum_task_quiet(aws_session):
    return AwsQuantumTask("foo:bar:arn", aws_session, poll_timeout_seconds=2, quiet=True)


@pytest.fixture
def circuit_task(aws_session):
    return AwsQuantumTask("foo:bar:arn", aws_session, poll_timeout_seconds=4)


@pytest.fixture
def annealing_task(aws_session):
    return AwsQuantumTask("foo:bar:arn", aws_session, poll_timeout_seconds=2)


@pytest.fixture
def photonic_model_task(aws_session):
    return AwsQuantumTask("foo:bar:arn", aws_session, poll_timeout_seconds=2)


@pytest.fixture
def arn():
    return "foo:bar:arn"


@pytest.fixture
def circuit():
    return Circuit().h(0).cnot(0, 1)


@pytest.fixture
def problem():
    return Problem(ProblemType.ISING, linear={1: 3.14}, quadratic={(1, 2): 10.08})


@pytest.fixture
def openqasm_program():
    return OpenQASMProgram(source="OPENQASM 3.0; h $0;")


class DummySerializableProgram(SerializableProgram):
    def __init__(self, source: str):
        self.source = source

    def to_ir(self, ir_type: IRType = IRType.OPENQASM) -> str:
        return self.source


@pytest.fixture
def serializable_program():
    return DummySerializableProgram(source="OPENQASM 3.0; h $0;")


@pytest.fixture
def blackbird_program():
    return BlackbirdProgram(source="Vac | q[0]")


@pytest.fixture
def pulse_sequence():
    return PulseSequence().set_frequency(
        Frame(
            frame_id="predefined_frame_1",
            frequency=2e9,
            port=Port(port_id="device_port_x0", dt=1e-9, properties={}),
            phase=0,
            is_predefined=True,
        ),
        6e6,
    )


@pytest.fixture
def pulse_gate(pulse_sequence):
    return PulseGate(pulse_sequence, 1, "my_PG")


@pytest.fixture
def em():
    return Debias()


@pytest.fixture
def ahs_problem():
    mock = Mock(spec=AnalogHamiltonianSimulation)
    mock.to_ir.return_value.json.return_value = "Test AHS Problem"
    return mock


def test_equality(arn, aws_session):
    quantum_task_1 = AwsQuantumTask(arn, aws_session)
    quantum_task_2 = AwsQuantumTask(arn, aws_session)
    other_quantum_task = AwsQuantumTask("different:arn", aws_session)
    non_quantum_task = quantum_task_1.id

    assert quantum_task_1 == quantum_task_2
    assert quantum_task_1 is not quantum_task_2
    assert quantum_task_1 != other_quantum_task
    assert quantum_task_1 != non_quantum_task


def test_str(quantum_task):
    expected = f"AwsQuantumTask('id/taskArn':'{quantum_task.id}')"
    assert str(quantum_task) == expected


def test_hash(quantum_task):
    assert hash(quantum_task) == hash(quantum_task.id)


def test_id_getter(arn, aws_session):
    quantum_task = AwsQuantumTask(arn, aws_session)
    assert quantum_task.id == arn


@pytest.mark.xfail(raises=AttributeError)
def test_no_id_setter(quantum_task):
    quantum_task.id = 123


def test_no_unknown_kwargs_no_warnings(arn, aws_session):
    with warnings.catch_warnings():
        warnings.simplefilter("error")
        AwsQuantumTask(arn, aws_session)


def test_unknown_kwarg_warning(arn, aws_session):
    with pytest.warns(UserWarning):
        AwsQuantumTask(arn, aws_session, unknown_kwarg=123)


def test_metadata(quantum_task):
    metadata_1 = {"status": "RUNNING"}
    quantum_task._aws_session.get_quantum_task.return_value = metadata_1
    assert quantum_task.metadata() == metadata_1
    quantum_task._aws_session.get_quantum_task.assert_called_with(quantum_task.id)

    metadata_2 = {"status": "COMPLETED"}
    quantum_task._aws_session.get_quantum_task.return_value = metadata_2
    assert quantum_task.metadata(use_cached_value=True) == metadata_1


def test_metadata_call_if_none(quantum_task):
    metadata_1 = {"status": "RUNNING"}
    quantum_task._aws_session.get_quantum_task.return_value = metadata_1
    assert quantum_task.metadata(use_cached_value=True) == metadata_1
    quantum_task._aws_session.get_quantum_task.assert_called_with(quantum_task.id)


def test_has_reservation_arn_from_metadata(quantum_task):
    metadata_true = {
        "associations": [
            {
                "arn": "123",
                "type": "RESERVATION_TIME_WINDOW_ARN",
            }
        ]
    }
    assert quantum_task._has_reservation_arn_from_metadata(metadata_true)

    metadata_false = {
        "status": "RUNNING",
        "associations": [
            {
                "arn": "123",
                "type": "other",
            }
        ],
    }
    assert not quantum_task._has_reservation_arn_from_metadata(metadata_false)


def test_queue_position(quantum_task):
    state_1 = "QUEUED"
    _mock_metadata(quantum_task._aws_session, state_1)
    assert quantum_task.queue_position() == QuantumTaskQueueInfo(
        queue_type=QueueType.NORMAL, queue_position="2", message=None
    )

    state_2 = "COMPLETED"
    message = (
        f"'Task is in {state_2} status. AmazonBraket does not show queue position for this status.'"
    )
    _mock_metadata(quantum_task._aws_session, state_2)
    assert quantum_task.queue_position() == QuantumTaskQueueInfo(
        queue_type=QueueType.NORMAL, queue_position=None, message=message
    )


def test_queued_quiet(quantum_task_quiet):
    state_1 = "QUEUED"
    _mock_metadata(quantum_task_quiet._aws_session, state_1)
    assert quantum_task_quiet.queue_position() == QuantumTaskQueueInfo(
        queue_type=QueueType.NORMAL, queue_position="2", message=None
    )

    state_2 = "COMPLETED"
    message = (
        f"'Task is in {state_2} status. AmazonBraket does not show queue position for this status.'"
    )
    _mock_metadata(quantum_task_quiet._aws_session, state_2)
    assert quantum_task_quiet.queue_position() == QuantumTaskQueueInfo(
        queue_type=QueueType.NORMAL, queue_position=None, message=message
    )


def test_state(quantum_task):
    state_1 = "RUNNING"
    _mock_metadata(quantum_task._aws_session, state_1)
    assert quantum_task.state() == state_1
    quantum_task._aws_session.get_quantum_task.assert_called_with(quantum_task.id)

    state_2 = "COMPLETED"
    _mock_metadata(quantum_task._aws_session, state_2)
    assert quantum_task.state(use_cached_value=True) == state_1

    state_3 = "FAILED"
    _mock_metadata(quantum_task._aws_session, state_3)
    assert quantum_task.state() == state_3

    state_4 = "CANCELLED"
    _mock_metadata(quantum_task._aws_session, state_4)
    assert quantum_task.state() == state_4

    state_5 = "FAILED"
    quantum_task._aws_session.get_quantum_task.return_value = {
        "status": state_5,
        "outputS3Bucket": S3_TARGET.bucket,
        "outputS3Directory": S3_TARGET.key,
        "queueInfo": {
            "queue": "QUANTUM_TASKS_QUEUE",
            "position": "2",
            "queuePriority": "Normal",
        },
        "actionMetadata": {"actionType": "braket.ir.openqasm.program_set"},
    }
    assert quantum_task.state() == state_5


def test_cancel(quantum_task):
    future = quantum_task.async_result()

    assert not future.done()
    quantum_task.cancel()

    assert quantum_task.result() is None
    assert future.cancelled()
    quantum_task._aws_session.cancel_quantum_task.assert_called_with(quantum_task.id)


def test_cancel_without_fetching_result(quantum_task):
    quantum_task.cancel()

    assert quantum_task.result() is None
    assert quantum_task._future.cancelled()
    quantum_task._aws_session.cancel_quantum_task.assert_called_with(quantum_task.id)


def asyncio_get_event_loop_side_effect(*args, **kwargs):
    yield ValueError("unit-test-exception")
    mock = MagicMock()
    while True:
        yield mock


@patch("braket.aws.aws_quantum_task.asyncio")
def test_initialize_asyncio_event_loop_if_required(mock_asyncio, quantum_task):
    mock_asyncio.get_event_loop.side_effect = asyncio_get_event_loop_side_effect()
    mock_asyncio.set_event_loop.return_value = MagicMock()
    mock_asyncio.new_event_loop.return_value = MagicMock()

    quantum_task._get_future()

    assert mock_asyncio.get_event_loop.call_count == 2
    assert mock_asyncio.set_event_loop.call_count == 1
    assert mock_asyncio.new_event_loop.call_count == 1


def test_result_circuit(circuit_task):
    _mock_metadata(circuit_task._aws_session, "COMPLETED")
    _mock_s3(circuit_task._aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)

    expected = GateModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_GATE_MODEL)
    assert circuit_task.result() == expected

    s3_bucket = circuit_task.metadata()["outputS3Bucket"]
    s3_object_key = circuit_task.metadata()["outputS3Directory"]
    circuit_task._aws_session.retrieve_s3_object_body.assert_called_with(
        s3_bucket, f"{s3_object_key}/results.json"
    )


def test_result_program_set(circuit_task):
    _mock_metadata(circuit_task._aws_session, "COMPLETED")
    _mock_s3(circuit_task._aws_session, MockS3.MOCK_S3_RESULT_PROGRAM_SET)

    expected = ProgramSetQuantumTaskResult.from_object(
        BraketSchemaBase.parse_raw_schema(MockS3.MOCK_S3_RESULT_PROGRAM_SET)
    )
    actual = circuit_task.result()
    assert expected.task_metadata == actual.task_metadata
    assert expected.programs == actual.programs
    assert expected.num_executables == actual.num_executables

    s3_bucket = circuit_task.metadata()["outputS3Bucket"]
    s3_object_key = circuit_task.metadata()["outputS3Directory"]
    circuit_task._aws_session.retrieve_s3_object_body.assert_called_with(
        s3_bucket, f"{s3_object_key}/results.json"
    )


def test_result_annealing(annealing_task):
    _mock_metadata(annealing_task._aws_session, "COMPLETED")
    _mock_s3(annealing_task._aws_session, MockS3.MOCK_S3_RESULT_ANNEALING)

    expected = AnnealingQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_ANNEALING)
    assert annealing_task.result() == expected

    s3_bucket = annealing_task.metadata()["outputS3Bucket"]
    s3_object_key = annealing_task.metadata()["outputS3Directory"]
    annealing_task._aws_session.retrieve_s3_object_body.assert_called_with(
        s3_bucket, f"{s3_object_key}/results.json"
    )


def test_result_photonic_model(photonic_model_task):
    _mock_metadata(photonic_model_task._aws_session, "COMPLETED")
    _mock_s3(photonic_model_task._aws_session, MockS3.MOCK_S3_RESULT_PHOTONIC_MODEL)

    expected = PhotonicModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_PHOTONIC_MODEL)
    assert photonic_model_task.result() == expected

    s3_bucket = photonic_model_task.metadata()["outputS3Bucket"]
    s3_object_key = photonic_model_task.metadata()["outputS3Directory"]
    photonic_model_task._aws_session.retrieve_s3_object_body.assert_called_with(
        s3_bucket, f"{s3_object_key}/results.json"
    )


def test_result_analog_hamiltonian_simulation(quantum_task):
    _mock_metadata(quantum_task._aws_session, "COMPLETED")
    _mock_s3(quantum_task._aws_session, MockS3.MOCK_S3_RESULT_ANALOG_HAMILTONIAN_SIMULTION)

    expected = AnalogHamiltonianSimulationQuantumTaskResult.from_string(
        MockS3.MOCK_S3_RESULT_ANALOG_HAMILTONIAN_SIMULTION
    )
    assert quantum_task.result() == expected

    s3_bucket = quantum_task.metadata()["outputS3Bucket"]
    s3_object_key = quantum_task.metadata()["outputS3Directory"]
    quantum_task._aws_session.retrieve_s3_object_body.assert_called_with(
        s3_bucket, f"{s3_object_key}/results.json"
    )


@pytest.mark.xfail(raises=TypeError)
def test_result_invalid_type(circuit_task):
    _mock_metadata(circuit_task._aws_session, "COMPLETED")
    _mock_s3(circuit_task._aws_session, json.dumps(MockS3.MOCK_TASK_METADATA))
    circuit_task.result()


def test_result_circuit_cached(circuit_task):
    _mock_metadata(circuit_task._aws_session, "COMPLETED")
    expected = GateModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_GATE_MODEL)
    circuit_task._result = expected
    assert circuit_task.result() == expected
    assert not circuit_task._aws_session.retrieve_s3_object_body.called


def test_no_result(circuit_task):
    _mock_metadata(circuit_task._aws_session, "FAILED")
    circuit_task._result = None
    assert circuit_task.result() is None
    assert not circuit_task._aws_session.retrieve_s3_object_body.called


@pytest.mark.parametrize(
    "result_string",
    [MockS3.MOCK_S3_RESULT_GATE_MODEL, MockS3.MOCK_S3_RESULT_GATE_MODEL_WITH_RESULT_TYPES],
)
def test_result_cached_future(circuit_task, result_string):
    _mock_metadata(circuit_task._aws_session, "COMPLETED")
    _mock_s3(circuit_task._aws_session, result_string)
    circuit_task.result()

    _mock_s3(circuit_task._aws_session, "")
    expected = GateModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_GATE_MODEL)
    assert circuit_task.result() == expected


@pytest.mark.parametrize(
    "status, result",
    [
        ("COMPLETED", GateModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_GATE_MODEL)),
        ("FAILED", None),
    ],
)
def test_async_result(circuit_task, status, result):
    def set_result_from_callback(future):
        # Set the result_from_callback variable in the enclosing functions scope
        nonlocal result_from_callback
        result_from_callback = future.result()

    _mock_metadata(circuit_task._aws_session, "RUNNING")
    _mock_s3(circuit_task._aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)

    future = circuit_task.async_result()

    # test the different ways to get the result from async

    # via callback
    result_from_callback = None
    future.add_done_callback(set_result_from_callback)

    # via asyncio waiting for result
    _mock_metadata(circuit_task._aws_session, status)
    event_loop = asyncio.get_event_loop()
    result_from_waiting = event_loop.run_until_complete(future)

    # via future.result(). Note that this would fail if the future is not complete.
    result_from_future = future.result()

    assert result_from_callback == result
    assert result_from_waiting == result
    assert result_from_future == result


@pytest.mark.parametrize(
    "status, result",
    [
        ("COMPLETED", GateModelQuantumTaskResult.from_string(MockS3.MOCK_S3_RESULT_GATE_MODEL)),
        ("FAILED", None),
    ],
)
def test_async_result_queued(circuit_task, status, result):
    def set_result_from_callback(future):
        # Set the result_from_callback variable in the enclosing functions scope
        nonlocal result_from_callback
        result_from_callback = future.result()

    _mock_metadata(circuit_task._aws_session, "QUEUED")
    _mock_s3(circuit_task._aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)

    future = circuit_task.async_result()

    # test the different ways to get the result from async

    # via callback
    result_from_callback = None
    future.add_done_callback(set_result_from_callback)

    # via asyncio waiting for result
    _mock_metadata(circuit_task._aws_session, status)
    event_loop = asyncio.get_event_loop()
    result_from_waiting = event_loop.run_until_complete(future)

    # via future.result(). Note that this would fail if the future is not complete.
    result_from_future = future.result()

    assert result_from_callback == result
    assert result_from_waiting == result
    assert result_from_future == result


def test_failed_task(quantum_task):
    _mock_metadata(quantum_task._aws_session, "FAILED")
    _mock_s3(quantum_task._aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)
    result = quantum_task.result()
    assert result is None


def test_timeout_completed(aws_session):
    _mock_metadata(aws_session, "RUNNING")
    _mock_s3(aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)

    # Setup the poll timing such that the timeout will occur after one API poll
    quantum_task = AwsQuantumTask(
        "foo:bar:arn",
        aws_session,
        poll_timeout_seconds=0.5,
        poll_interval_seconds=1,
    )
    assert quantum_task.result() is None
    _mock_metadata(aws_session, "COMPLETED")
    assert quantum_task.state() == "COMPLETED"
    assert quantum_task.result() == GateModelQuantumTaskResult.from_string(
        MockS3.MOCK_S3_RESULT_GATE_MODEL
    )
    # Cached status is still COMPLETED, so result should be fetched
    _mock_metadata(aws_session, "RUNNING")
    quantum_task._result = None
    assert quantum_task.result() == GateModelQuantumTaskResult.from_string(
        MockS3.MOCK_S3_RESULT_GATE_MODEL
    )


def test_timeout_no_result_terminal_state(aws_session):
    _mock_metadata(aws_session, "RUNNING")
    _mock_s3(aws_session, MockS3.MOCK_S3_RESULT_GATE_MODEL)

    # Setup the poll timing such that the timeout will occur after one API poll
    quantum_task = AwsQuantumTask(
        "foo:bar:arn",
        aws_session,
        poll_timeout_seconds=0.5,
        poll_interval_seconds=1,
    )
    assert quantum_task.result() is None

    _mock_metadata(aws_session, "FAILED")
    assert quantum_task.result() is None


@pytest.mark.xfail(raises=ValueError)
def test_create_invalid_s3_folder(aws_session, arn, circuit):
    AwsQuantumTask.create(aws_session, arn, circuit, ("bucket",), 1000)


@pytest.mark.xfail(raises=TypeError)
def test_create_invalid_task_specification(aws_session, arn):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    AwsQuantumTask.create(aws_session, arn, "foo", S3_TARGET, 1000)


def test_create_openqasm_program(aws_session, arn, openqasm_program):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(aws_session, SIMULATOR_ARN, openqasm_program, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        SIMULATOR_ARN,
        openqasm_program.json(),
        S3_TARGET,
        shots,
    )


def test_create_openqasm_program_em(aws_session, arn, openqasm_program, em):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(
        aws_session,
        IONQ_ARN,
        openqasm_program,
        S3_TARGET,
        shots,
        device_parameters={"errorMitigation": em},
    )
    _assert_create_quantum_task_called_with(
        aws_session,
        IONQ_ARN,
        openqasm_program.json(),
        S3_TARGET,
        shots,
        device_parameters=IonqDeviceParameters(
            paradigmParameters=GateModelParameters(qubitCount=0),
            errorMitigation=[error_mitigation.Debias()],
        ),
    )


def test_create_openqasm_program_em_serialized(aws_session, arn, openqasm_program, em):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(
        aws_session,
        IONQ_ARN,
        openqasm_program,
        S3_TARGET,
        shots,
        device_parameters={"errorMitigation": em.serialize()},
    )
    _assert_create_quantum_task_called_with(
        aws_session,
        IONQ_ARN,
        openqasm_program.json(),
        S3_TARGET,
        shots,
        device_parameters=IonqDeviceParameters(
            paradigmParameters=GateModelParameters(qubitCount=0),
            errorMitigation=[error_mitigation.Debias()],
        ),
    )


def test_create_serializable_program(aws_session, arn, serializable_program):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(aws_session, SIMULATOR_ARN, serializable_program, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        SIMULATOR_ARN,
        OpenQASMProgram(source=serializable_program.to_ir()).json(),
        S3_TARGET,
        shots,
    )


def test_create_blackbird_program(aws_session, arn, blackbird_program):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(aws_session, XANADU_ARN, blackbird_program, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        XANADU_ARN,
        blackbird_program.json(),
        S3_TARGET,
        shots,
    )


def test_create_ahs_problem(aws_session, arn, ahs_problem):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    AwsQuantumTask.create(aws_session, SIMULATOR_ARN, ahs_problem, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        SIMULATOR_ARN,
        ahs_problem.to_ir().json(),
        S3_TARGET,
        shots,
    )


def test_create_task_with_reservation_arn(aws_session, arn, ahs_problem):
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    reservation_arn = (
        "arn:aws:braket:us-west-2:123456789123:reservation/a1b123cd-45e6-789f-gh01-i234567jk8l9"
    )
    AwsQuantumTask.create(
        aws_session,
        SIMULATOR_ARN,
        ahs_problem,
        S3_TARGET,
        shots,
        reservation_arn=reservation_arn,
    )

    _assert_create_quantum_task_called_with(
        aws_session,
        SIMULATOR_ARN,
        ahs_problem.to_ir().json(),
        S3_TARGET,
        shots,
        reservation_arn=reservation_arn,
    )


def test_create_pulse_sequence(aws_session, arn, pulse_sequence):
    expected_openqasm = "\n".join([
        "OPENQASM 3.0;",
        "cal {",
        "    set_frequency(predefined_frame_1, 6000000.0);",
        "}",
    ])
    expected_program = OpenQASMProgram(source=expected_openqasm, inputs={})

    aws_session.create_quantum_task.return_value = arn
    AwsQuantumTask.create(aws_session, SIMULATOR_ARN, pulse_sequence, S3_TARGET, 10)

    _assert_create_quantum_task_called_with(
        aws_session,
        SIMULATOR_ARN,
        expected_program.json(),
        S3_TARGET,
        10,
    )


@pytest.mark.parametrize("device_arn,device_parameters_class", DEVICE_PARAMETERS)
def test_create_pulse_gate_circuit(
    aws_session, arn, pulse_sequence, device_arn, device_parameters_class
):
    pulse_gate_circuit = Circuit().pulse_gate([0, 1], pulse_sequence, "my_PG")
    expected_openqasm = "\n".join((
        "OPENQASM 3.0;",
        "bit[2] b;",
        "cal {",
        "    set_frequency(predefined_frame_1, 6000000.0);",
        "}",
        "b[0] = measure $0;",
        "b[1] = measure $1;",
    ))

    expected_program = OpenQASMProgram(source=expected_openqasm, inputs={})

    aws_session.create_quantum_task.return_value = arn
    AwsQuantumTask.create(aws_session, device_arn, pulse_gate_circuit, S3_TARGET, 10)

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        expected_program.json(),
        S3_TARGET,
        10,
        device_parameters_class(
            paradigmParameters=GateModelParameters(
                qubitCount=pulse_gate_circuit.qubit_count, disableQubitRewiring=False
            )
        ),
    )


@pytest.mark.parametrize("device_arn,device_parameters_class", DEVICE_PARAMETERS)
def test_create_circuit_with_shots(device_arn, device_parameters_class, aws_session, circuit):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 53

    task = AwsQuantumTask.create(aws_session, device_arn, circuit, S3_TARGET, shots)
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)
    program = circuit.to_ir(ir_type=IRType.OPENQASM)
    assert program.inputs == {}

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        program.json(),
        S3_TARGET,
        shots,
        device_parameters_class(
            paradigmParameters=GateModelParameters(
                qubitCount=circuit.qubit_count, disableQubitRewiring=False
            )
        ),
    )


def test_create_circuit_em(aws_session, circuit, em):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 53

    task = AwsQuantumTask.create(
        aws_session, IONQ_ARN, circuit, S3_TARGET, shots, device_parameters={"errorMitigation": em}
    )
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)
    program = circuit.to_ir(ir_type=IRType.OPENQASM)
    assert program.inputs == {}

    _assert_create_quantum_task_called_with(
        aws_session,
        IONQ_ARN,
        program.json(),
        S3_TARGET,
        shots,
        IonqDeviceParameters(
            paradigmParameters=GateModelParameters(qubitCount=circuit.qubit_count),
            errorMitigation=[error_mitigation.Debias()],
        ),
    )


@pytest.mark.parametrize("device_arn,device_parameters_class", DEVICE_PARAMETERS)
def test_create_circuit_with_input_params(
    device_arn, device_parameters_class, aws_session, circuit
):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 53
    inputs = {"beta": 3}

    task = AwsQuantumTask.create(aws_session, device_arn, circuit, S3_TARGET, shots, inputs=inputs)
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)
    program = circuit.to_ir(ir_type=IRType.OPENQASM)
    assert program.inputs == {}
    program.inputs.update(inputs)

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        program.json(),
        S3_TARGET,
        shots,
        device_parameters_class(
            paradigmParameters=GateModelParameters(
                qubitCount=circuit.qubit_count, disableQubitRewiring=False
            )
        ),
    )


@pytest.mark.parametrize(
    "device_arn,device_parameters_class", [(RIGETTI_ARN, RigettiDeviceParameters)]
)
def test_create_circuit_with_disabled_rewiring(
    device_arn, device_parameters_class, aws_session, circuit
):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 53

    task = AwsQuantumTask.create(
        aws_session, device_arn, circuit, S3_TARGET, shots, disable_qubit_rewiring=True
    )
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        circuit.to_ir(
            ir_type=IRType.OPENQASM,
            serialization_properties=OpenQASMSerializationProperties(QubitReferenceType.PHYSICAL),
        ).json(),
        S3_TARGET,
        shots,
        device_parameters_class(
            paradigmParameters=GateModelParameters(
                qubitCount=circuit.qubit_count, disableQubitRewiring=True
            )
        ),
    )


@pytest.mark.parametrize(
    "device_arn,device_parameters_class, disable_qubit_rewiring",
    [(RIGETTI_ARN, RigettiDeviceParameters, True), (RIGETTI_ARN, RigettiDeviceParameters, False)],
)
def test_create_circuit_with_verbatim(
    device_arn, device_parameters_class, disable_qubit_rewiring, aws_session
):
    circ = Circuit().add_verbatim_box(Circuit().h(0))
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 1337

    task = AwsQuantumTask.create(
        aws_session,
        device_arn,
        circ,
        S3_TARGET,
        shots,
        disable_qubit_rewiring=disable_qubit_rewiring,
    )
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)

    serialization_properties = OpenQASMSerializationProperties(
        qubit_reference_type=QubitReferenceType.PHYSICAL
    )

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        circ.to_ir(
            ir_type=IRType.OPENQASM,
            serialization_properties=serialization_properties,
        ).json(),
        S3_TARGET,
        shots,
        device_parameters_class(
            paradigmParameters=GateModelParameters(
                qubitCount=circ.qubit_count, disableQubitRewiring=disable_qubit_rewiring
            )
        ),
    )


@pytest.mark.xfail(raises=ValueError)
def test_create_circuit_with_shots_value_error(aws_session, arn, circuit):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    AwsQuantumTask.create(aws_session, arn, circuit, S3_TARGET, 0)


def test_create_program_set(aws_session, arn):
    circ1 = Circuit().h(0).cnot(0, 1)
    circ2 = Circuit().rx(0, FreeParameter("theta"))
    program_set = ProgramSet([circ1]) + ProgramSet(
        CircuitBinding(circ2, input_sets=[{"theta": 1.23}, {"theta": 3.21}])
    )
    aws_session.create_quantum_task.return_value = arn
    shots = 300
    AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        IQM_ARN,
        program_set.to_ir().json(),
        S3_TARGET,
        shots,
    )


def test_create_program_set_shots(aws_session, arn):
    circ1 = Circuit().h(0).cnot(0, 1)
    circ2 = Circuit().rx(0, FreeParameter("theta"))
    program_set = ProgramSet([circ1], 100) + ProgramSet(
        CircuitBinding(circ2, input_sets=[{"theta": 1.23}, {"theta": 3.21}])
    )
    aws_session.create_quantum_task.return_value = arn
    AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, -1)

    _assert_create_quantum_task_called_with(
        aws_session,
        IQM_ARN,
        program_set.to_ir().json(),
        S3_TARGET,
        program_set.total_shots,
    )


def test_create_program_set_invalid_shots(aws_session, arn):
    circ1 = Circuit().h(0).cnot(0, 1)
    circ2 = Circuit().rx(0, FreeParameter("theta"))
    program_set = ProgramSet([circ1]) + ProgramSet(
        CircuitBinding(circ2, input_sets=[{"theta": 1.23}, {"theta": 3.21}])
    )
    with pytest.raises(ValueError):
        AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, -1)


def test_create_program_set_client_error(aws_session, arn):
    program_set = ProgramSet([Circuit().h(0).cnot(0, 1)], 100)
    aws_session.create_quantum_task.side_effect = ClientError(
        {
            "Error": {"Code": "ValidationException", "Message": "bar"},
            "message": "baz",
            "programSetValidationFailures": [{"programIndex": 0, "errors": ["qux"]}],
        },
        "foo",
    )
    with pytest.raises(
        ClientError, match="Rerun the task and catch the exception for more details"
    ):
        AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, -1)


def test_create_program_set_client_error_no_program_set_validation_failures(aws_session, arn):
    program_set = ProgramSet([Circuit().h(0).cnot(0, 1)], 100)
    aws_session.create_quantum_task.side_effect = ClientError(
        {
            "Error": {"Code": "ValidationException", "Message": "bar"},
            "message": "baz",
        },
        "foo",
    )
    try:
        AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, -1)
    except ClientError as e:
        assert "Rerun the task" not in e.response["message"]


def test_create_ir_program_set(aws_session, arn):
    circ1 = Circuit().h(0).cnot(0, 1)
    circ2 = Circuit().rx(0, FreeParameter("theta"))
    program_set = (
        ProgramSet([circ1], 100)
        + ProgramSet(CircuitBinding(circ2, input_sets=[{"theta": 1.23}, {"theta": 3.21}]))
    ).to_ir()
    aws_session.create_quantum_task.return_value = arn
    shots = 30
    AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, shots)

    _assert_create_quantum_task_called_with(
        aws_session,
        IQM_ARN,
        program_set.json(),
        S3_TARGET,
        shots,
    )


def test_create_ir_program_set_invalid_shots(aws_session, arn):
    circ1 = Circuit().h(0).cnot(0, 1)
    circ2 = Circuit().rx(0, FreeParameter("theta"))
    program_set = (
        ProgramSet([circ1], 100)
        + ProgramSet(CircuitBinding(circ2, input_sets=[{"theta": 1.23}, {"theta": 3.21}]))
    ).to_ir()
    with pytest.raises(ValueError):
        AwsQuantumTask.create(aws_session, IQM_ARN, program_set, S3_TARGET, -1)


@pytest.mark.parametrize(
    "device_parameters,arn",
    [
        (
            {
                "providerLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "beta": 0.2,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            },
            "arn:aws:braket:::device/qpu/d-wave/Advantage_system1",
        ),
        (
            {
                "deviceLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "beta": 0.2,
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            },
            "arn:aws:braket:::device/qpu/d-wave/DW_2000Q_6",
        ),
        pytest.param(
            {
                "deviceLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "beta": 0.2,
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            },
            "arn:aws:braket:::device/qpu/d-wave/Advantage_system1",
            # this doesn't fail... yet
            # marks=pytest.mark.xfail(reason='beta not a valid parameter for Advantage device'),
        ),
        pytest.param(
            {
                "deviceLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "beta": 0.2,
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            },
            "arn:aws:braket:::device/qpu/d-wave/fake_arn",
            marks=pytest.mark.xfail(reason="Bad ARN"),
        ),
        (
            {
                "deviceLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "beta": 0.2,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            },
            "arn:aws:braket:::device/qpu/d-wave/DW_2000Q_6",
        ),
        (
            DwaveDeviceParameters.parse_obj({
                "providerLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "beta": 0.2,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            }),
            "arn:aws:braket:::device/qpu/d-wave/Advantage_system1",
        ),
        (
            DwaveDeviceParameters.parse_obj(
                {
                    "deviceLevelParameters": {
                        "postprocessingType": "OPTIMIZATION",
                        "annealingOffsets": [3.67, 6.123],
                        "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                        "annealingDuration": 1,
                        "autoScale": False,
                        "beta": 0.2,
                        "chains": [[0, 1, 5], [6]],
                        "compensateFluxDrift": False,
                        "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                        "initialState": [1, 3, 0, 1],
                        "maxResults": 1,
                        "programmingThermalizationDuration": 625,
                        "readoutThermalizationDuration": 256,
                        "reduceIntersampleCorrelation": False,
                        "reinitializeState": True,
                        "resultFormat": "RAW",
                        "spinReversalTransformCount": 100,
                    }
                },
            ),
            "arn:aws:braket:::device/qpu/d-wave/Advantage_system1",
        ),
        (
            DwaveAdvantageDeviceParameters.parse_obj(
                {
                    "deviceLevelParameters": {
                        "annealingOffsets": [3.67, 6.123],
                        "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                        "annealingDuration": 1,
                        "autoScale": False,
                        "beta": 0.2,
                        "chains": [[0, 1, 5], [6]],
                        "compensateFluxDrift": False,
                        "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                        "initialState": [1, 3, 0, 1],
                        "maxResults": 1,
                        "programmingThermalizationDuration": 625,
                        "readoutThermalizationDuration": 256,
                        "reduceIntersampleCorrelation": False,
                        "reinitializeState": True,
                        "resultFormat": "RAW",
                        "spinReversalTransformCount": 100,
                    }
                },
            ),
            "arn:aws:braket:::device/qpu/d-wave/Advantage_system1",
        ),
        (
            Dwave2000QDeviceParameters.parse_obj({
                "deviceLevelParameters": {
                    "postprocessingType": "OPTIMIZATION",
                    "annealingOffsets": [3.67, 6.123],
                    "annealingSchedule": [[13.37, 10.08], [3.14, 1.618]],
                    "annealingDuration": 1,
                    "autoScale": False,
                    "beta": 0.2,
                    "chains": [[0, 1, 5], [6]],
                    "compensateFluxDrift": False,
                    "fluxBiases": [1.1, 2.2, 3.3, 4.4],
                    "initialState": [1, 3, 0, 1],
                    "maxResults": 1,
                    "programmingThermalizationDuration": 625,
                    "readoutThermalizationDuration": 256,
                    "reduceIntersampleCorrelation": False,
                    "reinitializeState": True,
                    "resultFormat": "RAW",
                    "spinReversalTransformCount": 100,
                }
            }),
            "arn:aws:braket:::device/qpu/d-wave/DW_2000Q_6",
        ),
        (
            Dwave2000QDeviceParameters.parse_obj({"deviceLevelParameters": {}}),
            "arn:aws:braket:::device/qpu/d-wave/DW_2000Q_6",
        ),
        pytest.param(
            {},
            "arn:aws:braket:::device/qpu/d-wave/DW_2000Q_6",
        ),
    ],
)
def test_from_annealing(device_parameters, aws_session, arn, problem):
    mocked_task_arn = "task-arn-1"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    task = AwsQuantumTask.create(
        aws_session,
        arn,
        problem,
        S3_TARGET,
        1000,
        device_parameters=device_parameters,
    )
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)
    annealing_parameters = _create_annealing_device_params(device_parameters, device_arn=arn)
    validate(
        json.loads(annealing_parameters.json(exclude_none=True)), annealing_parameters.schema()
    )
    _assert_create_quantum_task_called_with(
        aws_session,
        arn,
        problem.to_ir().json(),
        S3_TARGET,
        1000,
        annealing_parameters,
    )


@pytest.mark.parametrize("device_arn,device_parameters_class", DEVICE_PARAMETERS)
def test_create_with_tags(device_arn, device_parameters_class, aws_session, circuit):
    mocked_task_arn = "task-arn-tags"
    aws_session.create_quantum_task.return_value = mocked_task_arn
    shots = 53
    tags = {"state": "washington"}

    task = AwsQuantumTask.create(aws_session, device_arn, circuit, S3_TARGET, shots, tags=tags)
    assert task == AwsQuantumTask(mocked_task_arn, aws_session)
    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        circuit.to_ir(ir_type=IRType.OPENQASM).json(),
        S3_TARGET,
        shots,
        device_parameters_class(
            paradigmParameters=GateModelParameters(qubitCount=circuit.qubit_count)
        ),
        tags,
    )


def test_init_new_thread(aws_session, arn):
    tasks_list = []
    threading.Thread(target=_init_and_add_to_list, args=(aws_session, arn, tasks_list)).start()
    time.sleep(0.1)
    assert len(tasks_list) == 1


@patch("braket.aws.aws_quantum_task.boto3.Session")
def test_aws_session_for_task_arn(mock_session):
    region = "us-west-2"
    arn = f"arn:aws:aqx:{region}:account_id:quantum-task:task_id"
    mock_boto_session = Mock()
    mock_session.return_value = mock_boto_session
    mock_boto_session.region_name = region
    aws_session = AwsQuantumTask._aws_session_for_task_arn(arn)
    mock_session.assert_called_with(region_name=region)
    assert aws_session.boto_session == mock_boto_session


def _init_and_add_to_list(aws_session, arn, task_list):
    task_list.append(AwsQuantumTask(arn, aws_session))


def _assert_create_quantum_task_called_with(
    aws_session,
    arn,
    task_description,
    s3_results_prefix,
    shots,
    device_parameters=None,
    tags=None,
    reservation_arn=None,
):
    test_kwargs = {
        "deviceArn": arn,
        "outputS3Bucket": s3_results_prefix[0],
        "outputS3KeyPrefix": s3_results_prefix[1],
        "action": task_description,
        "shots": shots,
    }

    if device_parameters is not None:
        test_kwargs["deviceParameters"] = device_parameters.json(exclude_none=True)
    if tags is not None:
        test_kwargs["tags"] = tags
    if reservation_arn:
        test_kwargs["associations"] = [
            {
                "arn": reservation_arn,
                "type": "RESERVATION_TIME_WINDOW_ARN",
            }
        ]
    aws_session.create_quantum_task.assert_called_with(**test_kwargs)


def _mock_metadata(aws_session, state):
    message = (
        f"'Task is in {state} status. AmazonBraket does not show queue position for this status.'"
    )
    if state in AwsQuantumTask.TERMINAL_STATES or state in ["RUNNING", "CANCELLING"]:
        aws_session.get_quantum_task.return_value = {
            "status": state,
            "outputS3Bucket": S3_TARGET.bucket,
            "outputS3Directory": S3_TARGET.key,
            "queueInfo": {
                "queue": "QUANTUM_TASKS_QUEUE",
                "position": "None",
                "queuePriority": "Normal",
                "message": message,
            },
            "actionMetadata": {"actionType": "braket.ir.openqasm.program"},
        }
    else:
        aws_session.get_quantum_task.return_value = {
            "status": state,
            "outputS3Bucket": S3_TARGET.bucket,
            "outputS3Directory": S3_TARGET.key,
            "queueInfo": {
                "queue": "QUANTUM_TASKS_QUEUE",
                "position": "2",
                "queuePriority": "Normal",
            },
            "actionMetadata": {"actionType": "braket.ir.openqasm.program"},
        }


def _mock_s3(aws_session, result):
    aws_session.retrieve_s3_object_body.return_value = result


@pytest.mark.parametrize("source_input", [{}, {"gamma": 0.15}, None])
@pytest.mark.parametrize("device_arn", DEVICE_PARAMETERS[0])
def test_program_inputs(aws_session, device_arn, source_input):
    bell_qasm = """
    OPENQASM 3;
    input float theta;
    qubit[2] q;
    bit[2] c;
    h q[0];
    cnot q[0], q[1];
    c = measure q;
    """
    openqasm_program = OpenQASMProgram(source=bell_qasm, inputs=source_input)
    aws_session.create_quantum_task.return_value = arn
    shots = 21
    inputs = {"theta": 0.2}
    AwsQuantumTask.create(
        aws_session, device_arn, openqasm_program, S3_TARGET, shots, inputs=inputs
    )

    assert openqasm_program.inputs == source_input
    inputs_copy = openqasm_program.inputs.copy() if openqasm_program.inputs is not None else {}
    inputs_copy.update(inputs)
    openqasm_program = OpenQASMProgram(source=openqasm_program.source, inputs=inputs_copy)

    _assert_create_quantum_task_called_with(
        aws_session,
        device_arn,
        openqasm_program.json(),
        S3_TARGET,
        shots,
    )
