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@@ -20,7 +20,7 @@ from tests.integration_tests.model_runtime.__mock.openai import setup_openai_moc
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from tests.integration_tests.model_runtime.__mock.xinference import setup_xinference_mock
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
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def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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@@ -45,7 +45,7 @@ def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference
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)
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
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def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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@@ -75,7 +75,7 @@ def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock):
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assert response.usage.total_tokens > 0
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
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def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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@@ -236,7 +236,7 @@ def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock):
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# assert response.message.tool_calls[0].function.name == 'get_current_weather'
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
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def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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@@ -261,7 +261,7 @@ def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinf
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)
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
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def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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@@ -286,7 +286,7 @@ def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock):
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assert response.usage.total_tokens > 0
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-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
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+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
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def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock):
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model = XinferenceAILargeLanguageModel()
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