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    This class will allow you to stub out requests so you don't have to hit
    an endpoint to write tests. Responses are returned first in, first out.
    If operations are called out of order, or are called with no remaining
    queued responses, an error will be raised.

    **Example:**
    ::
        import datetime
        import botocore.session
        from botocore.stub import Stubber


        s3 = botocore.session.get_session().create_client('s3')
        stubber = Stubber(s3)

        response = {
            'IsTruncated': False,
            'Name': 'test-bucket',
            'MaxKeys': 1000, 'Prefix': '',
            'Contents': [{
                'Key': 'test.txt',
                'ETag': '"abc123"',
                'StorageClass': 'STANDARD',
                'LastModified': datetime.datetime(2016, 1, 20, 22, 9),
                'Owner': {'ID': 'abc123', 'DisplayName': 'myname'},
                'Size': 14814
            }],
            'EncodingType': 'url',
            'ResponseMetadata': {
                'RequestId': 'abc123',
                'HTTPStatusCode': 200,
                'HostId': 'abc123'
            },
            'Marker': ''
        }

        expected_params = {'Bucket': 'test-bucket'}

        stubber.add_response('list_objects', response, expected_params)
        stubber.activate()

        service_response = s3.list_objects(Bucket='test-bucket')
        assert service_response == response


    This class can also be called as a context manager, which will handle
    activation / deactivation for you.

    **Example:**
    ::
        import datetime
        import botocore.session
        from botocore.stub import Stubber


        s3 = botocore.session.get_session().create_client('s3')

        response = {
            "Owner": {
                "ID": "foo",
                "DisplayName": "bar"
            },
            "Buckets": [{
                "CreationDate": datetime.datetime(2016, 1, 20, 22, 9),
                "Name": "baz"
            }]
        }


        with Stubber(s3) as stubber:
            stubber.add_response('list_buckets', response, {})
            service_response = s3.list_buckets()

        assert service_response == response


    If you have an input parameter that is a randomly generated value, or you
    otherwise don't care about its value, you can use ``stub.ANY`` to ignore
    it in validation.

    **Example:**
    ::
        import datetime
        import botocore.session
        from botocore.stub import Stubber, ANY


        s3 = botocore.session.get_session().create_client('s3')
        stubber = Stubber(s3)

        response = {
            'IsTruncated': False,
            'Name': 'test-bucket',
            'MaxKeys': 1000, 'Prefix': '',
            'Contents': [{
                'Key': 'test.txt',
                'ETag': '"abc123"',
                'StorageClass': 'STANDARD',
                'LastModified': datetime.datetime(2016, 1, 20, 22, 9),
                'Owner': {'ID': 'abc123', 'DisplayName': 'myname'},
                'Size': 14814
            }],
            'EncodingType': 'url',
            'ResponseMetadata': {
                'RequestId': 'abc123',
                'HTTPStatusCode': 200,
                'HostId': 'abc123'
            },
            'Marker': ''
        }

        expected_params = {'Bucket': ANY}
        stubber.add_response('list_objects', response, expected_params)

        with stubber:
            service_response = s3.list_objects(Bucket='test-bucket')

        assert service_response == response
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        :param method: The name of the client method to stub.
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        :type service_error_code: str

        :param service_message: The service message to return, e.g.
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        :type service_message: str

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        :param response_meta: Additional keys to be added to the
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        :type response_meta: dict

        :param modeled_fields: Additional keys to be added to the response
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