# Copyright 2023 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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
import numpy as np
from mindspore import Tensor, jit, context

context.set_context(mode=context.GRAPH_MODE)


@pytest.mark.skip(reason="No support yet.")
@pytest.mark.level0
@pytest.mark.platform_x86_gpu_training
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_onecard
def test_enumerate_asnumpy():
    """
    Feature: JIT Fallback
    Description: Test dict() in fallback runtime
    Expectation:No exception
    """
    @jit
    def foo():
        index_sum = 0
        value_sum = 0
        value = Tensor(np.array([11, 22, 33, 44])).asnumpy()
        for i, j in enumerate(value):
            index_sum += i
            value_sum += j
        return index_sum, value_sum

    ret = foo()
    assert ret == (6, 110)
