# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 0.81.1
    Contact: info@mixpeek.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


import unittest

from mixpeek.models.describe_collection_features_response import DescribeCollectionFeaturesResponse

class TestDescribeCollectionFeaturesResponse(unittest.TestCase):
    """DescribeCollectionFeaturesResponse unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> DescribeCollectionFeaturesResponse:
        """Test DescribeCollectionFeaturesResponse
            include_optional is a boolean, when False only required
            params are included, when True both required and
            optional params are included """
        # uncomment below to create an instance of `DescribeCollectionFeaturesResponse`
        """
        model = DescribeCollectionFeaturesResponse()
        if include_optional:
            return DescribeCollectionFeaturesResponse(
                features = [
                    mixpeek.models.collection_feature_descriptor.CollectionFeatureDescriptor(
                        feature_address = '', 
                        feature_extractor_name = '', 
                        version = '', 
                        vector_index = mixpeek.models.vector_index.VectorIndex(
                            name = '', 
                            description = '0123456789', 
                            dimensions = 1, 
                            type = 'dense', 
                            distance = 'cosine', 
                            datatype = 'float32', 
                            on_disk = True, 
                            supported_inputs = [
                                'string'
                                ], 
                            inference_name = '', 
                            inference_service_id = '', 
                            purpose = 'text', 
                            vector_name_override = '', ), 
                        primary = True, )
                    ]
            )
        else:
            return DescribeCollectionFeaturesResponse(
                features = [
                    mixpeek.models.collection_feature_descriptor.CollectionFeatureDescriptor(
                        feature_address = '', 
                        feature_extractor_name = '', 
                        version = '', 
                        vector_index = mixpeek.models.vector_index.VectorIndex(
                            name = '', 
                            description = '0123456789', 
                            dimensions = 1, 
                            type = 'dense', 
                            distance = 'cosine', 
                            datatype = 'float32', 
                            on_disk = True, 
                            supported_inputs = [
                                'string'
                                ], 
                            inference_name = '', 
                            inference_service_id = '', 
                            purpose = 'text', 
                            vector_name_override = '', ), 
                        primary = True, )
                    ],
        )
        """

    def testDescribeCollectionFeaturesResponse(self):
        """Test DescribeCollectionFeaturesResponse"""
        # inst_req_only = self.make_instance(include_optional=False)
        # inst_req_and_optional = self.make_instance(include_optional=True)

if __name__ == '__main__':
    unittest.main()
