# 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 pytest
from pydantic import ValidationError

from braket.ir.jaqcd.shared_models import (
    DampingSingleProbability,
    SingleProbability,
    SingleProbability_34,
    SingleProbability_1516,
)


@pytest.mark.xfail(raises=ValidationError)
def test_missing_probability():
    SingleProbability()


@pytest.mark.xfail(raises=ValidationError)
def test_missing_probability_34():
    SingleProbability_34()


@pytest.mark.xfail(raises=ValidationError)
def test_missing_probability_1516():
    SingleProbability_1516()


@pytest.mark.xfail(raises=ValidationError)
def test_missing_probability_damping():
    DampingSingleProbability()


@pytest.mark.xfail(raises=ValidationError)
def test_non_float():
    SingleProbability(probability="foo")


@pytest.mark.xfail(raises=ValidationError)
def test_non_float_34():
    SingleProbability_34(probability="foo")


@pytest.mark.xfail(raises=ValidationError)
def test_non_float_1516():
    SingleProbability_1516(probability="foo")


@pytest.mark.xfail(raises=ValidationError)
def test_non_float_damping():
    DampingSingleProbability(probability="foo")


@pytest.mark.xfail(raises=ValidationError)
def test_nan_float():
    SingleProbability(probability=float("nan"))


@pytest.mark.xfail(raises=ValidationError)
def test_nan_float_34():
    SingleProbability_34(probability=float("nan"))


@pytest.mark.xfail(raises=ValidationError)
def test_nan_float_1516():
    SingleProbability_1516(probability=float("nan"))


@pytest.mark.xfail(raises=ValidationError)
def test_nan_float_damping():
    DampingSingleProbability(probability=float("nan"))


@pytest.mark.xfail(raises=ValidationError)
def test_inf_float():
    SingleProbability(probability=float("inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_inf_float_34():
    SingleProbability_34(probability=float("inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_inf_float_1516():
    SingleProbability_1516(probability=float("inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_inf_float_damping():
    DampingSingleProbability(probability=float("inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_inf_float():
    SingleProbability(probability=float("-inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_inf_float_34():
    SingleProbability_34(probability=float("-inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_inf_float_1516():
    SingleProbability_1516(probability=float("-inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_inf_float_damping():
    DampingSingleProbability(probability=float("-inf"))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_float():
    SingleProbability(probability=float(-1.5))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_float_34():
    SingleProbability_34(probability=float(-1.5))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_float_1516():
    SingleProbability_1516(probability=float(-1.5))


@pytest.mark.xfail(raises=ValidationError)
def test_negative_float_damping():
    DampingSingleProbability(probability=float(-1.5))


@pytest.mark.xfail(raises=ValidationError)
def test_greater_than_one_float():
    SingleProbability(probability=float(2.1))


@pytest.mark.xfail(raises=ValidationError)
def test_greater_than_one_float_34():
    SingleProbability_34(probability=float(2.1))


@pytest.mark.xfail(raises=ValidationError)
def test_greater_than_one_float_1516():
    SingleProbability_1516(probability=float(2.1))


@pytest.mark.xfail(raises=ValidationError)
def test_greater_than_one_float_damping():
    DampingSingleProbability(probability=float(2.1))


def test_float():
    probability = 0.15
    obj = SingleProbability(probability=probability)
    assert obj.probability == probability


def test_float_34():
    probability = 0.15
    obj = SingleProbability_34(probability=probability)
    assert obj.probability == probability


def test_float_1516():
    probability = 0.15
    obj = SingleProbability_1516(probability=probability)
    assert obj.probability == probability


def test_float_damping():
    probability = 0.15
    obj = DampingSingleProbability(probability=probability)
    assert obj.probability == probability


def test_extra_params():
    SingleProbability(probability=0, foo="bar")


def test_extra_params_34():
    SingleProbability_34(probability=0, foo="bar")


def test_extra_params_1516():
    SingleProbability_1516(probability=0, foo="bar")


def test_extra_params_damping():
    DampingSingleProbability(probability=0, foo="bar")