{!> ../../docs_src/query_params/tutorial004.py!}
```

////

## Required query parameters

When you declare a default value for non-path parameters (for now, we have only seen query parameters), then it is not required.

If you don't want to add a specific value but just make it optional, set the default as `None`.

But when you want to make a query parameter required, you can just not declare any default value:

                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"limit_value": 0},
                    "loc": ["body", "item", "price"],

                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"limit_value": 0},
                    "loc": ["body", "item", "price"],

                        "msg": "Field required",
                        "input": {},
                    }
                ]
            }
        )
        | IsDict(
            # TODO: remove when deprecating Pydantic v1
            {
                "detail": [
                    {
                        "type": "value_error.missing",
                        "loc": ["cookie", "session_id"],

                "input": "modelX",
                "ctx": {"error": HasRepr("ValueError('name must end in A')")},
            }
        )
        | IsDict(
            # TODO remove when deprecating Pydantic v1
            {
                "loc": ("response", "name"),
                "msg": "name must end in A",
                "type": "value_error",
            }
        )
    ]

     * @throws ConfigPropertyNotFoundException When the property is not found.
     */
    String get(String propertyKey);

    /**
     * Is the property true?
     * @param propertyKey The key of the property which is boolean type. (NotNull)
     * @return The determination, true or false. (if not found, exception)
     * @throws ConfigPropertyNotFoundException When the property is not found.
     */

    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.

## Install the Server Program

        given:
        jsonFile << existingAcceptedApiChanges()

        when:
        jsonFileManager.emptyAcceptedApiChanges(jsonFile)

        then:
        jsonFile.text == nonExistentAcceptedApiChanges()
    }

    def "can clean non-existing API changes"() {
        given:
        jsonFile << nonExistentAcceptedApiChanges()

        when:
        jsonFileManager.emptyAcceptedApiChanges(jsonFile)

        then:

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o classificationUndefinedHandlingType: (NotRequired - Default LOGGING)
    #  The handling type when undefined classification is found.
    #
    #   EXCEPTION - throws exception when found
    #   LOGGING   - logging only when found (exception if ReplaceSchema)
    #   ALLOWED   - no action
    #
    #; classificationUndefinedHandlingType = LOGGING
    # - - - - - - - - - -/