# coding: utf-8

"""
    Arthur GenAI Engine

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 2.1.294
    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


import unittest

from arthur_observability_sdk._generated.models.test_case import TestCase

class TestTestCase(unittest.TestCase):
    """TestCase unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> TestCase:
        """Test TestCase
            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 `TestCase`
        """
        model = TestCase()
        if include_optional:
            return TestCase(
                status = 'queued',
                dataset_row_id = '',
                total_cost = '',
                prompt_input_variables = [
                    arthur_observability_sdk._generated.models.input_variable.InputVariable(
                        variable_name = '', 
                        value = '', )
                    ],
                prompt_results = [
                    arthur_observability_sdk._generated.models.prompt_result.PromptResult(
                        evals = [
                            arthur_observability_sdk._generated.models.eval_execution.EvalExecution(
                                eval_name = '', 
                                eval_version = '', 
                                eval_input_variables = [
                                    arthur_observability_sdk._generated.models.input_variable.InputVariable(
                                        variable_name = '', 
                                        value = '', )
                                    ], 
                                eval_results = arthur_observability_sdk._generated.models.eval_execution_result.EvalExecutionResult(
                                    score = 1.337, 
                                    explanation = '', 
                                    cost = '', ), )
                            ], 
                        prompt_key = '', 
                        prompt_type = '', 
                        name = '', 
                        version = '', 
                        rendered_prompt = '', 
                        output = arthur_observability_sdk._generated.models.prompt_output.PromptOutput(
                            content = '', 
                            tool_calls = [
                                null
                                ], 
                            cost = '', ), )
                    ]
            )
        else:
            return TestCase(
                status = 'queued',
                dataset_row_id = '',
                prompt_input_variables = [
                    arthur_observability_sdk._generated.models.input_variable.InputVariable(
                        variable_name = '', 
                        value = '', )
                    ],
                prompt_results = [
                    arthur_observability_sdk._generated.models.prompt_result.PromptResult(
                        evals = [
                            arthur_observability_sdk._generated.models.eval_execution.EvalExecution(
                                eval_name = '', 
                                eval_version = '', 
                                eval_input_variables = [
                                    arthur_observability_sdk._generated.models.input_variable.InputVariable(
                                        variable_name = '', 
                                        value = '', )
                                    ], 
                                eval_results = arthur_observability_sdk._generated.models.eval_execution_result.EvalExecutionResult(
                                    score = 1.337, 
                                    explanation = '', 
                                    cost = '', ), )
                            ], 
                        prompt_key = '', 
                        prompt_type = '', 
                        name = '', 
                        version = '', 
                        rendered_prompt = '', 
                        output = arthur_observability_sdk._generated.models.prompt_output.PromptOutput(
                            content = '', 
                            tool_calls = [
                                null
                                ], 
                            cost = '', ), )
                    ],
        )
        """

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

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