// They can depend on nullaway-undefined, which any external dependency is going to be.
                producerValue == NullawayState.DISABLED && consumerValue == NullawayState.ENABLED -> incompatible()
                else -> compatible()
            }
        }
    }

plugins {
    id("gradlebuild.build-logic.kotlin-dsl-gradle-plugin")
    id("gradlebuild.build-logic.groovy-dsl-gradle-plugin")
}

description = "Provides a plugin for configuring japicmp-gradle-plugin to detect binary incompatible changes"

dependencies {
    api("me.champeau.gradle:japicmp-gradle-plugin")

    implementation(projects.dependencyModules)
    implementation("gradlebuild:basics")
    implementation("gradlebuild:module-identity")

     * requirement) for the preprocessor to resolve the value to a compatible value or a (string) value than can be
     * unmarshalled into that type. The preprocessor is not required to perform any type conversion but should rather
     * filter out incompatible values from its result.
     *
     * @param value The configuration value to preprocess, must not be {@code null}.

	ErrCustomerKeyMD5Mismatch = Errorf("The provided SSE-C key MD5 does not match the computed MD5 of the SSE-C key")
	// ErrIncompatibleEncryptionMethod indicates that both SSE-C headers and SSE-S3 headers were specified, and are incompatible
	// The client needs to remove the SSE-S3 header or the SSE-C headers
	ErrIncompatibleEncryptionMethod = Errorf("Server side encryption specified with both SSE-C and SSE-S3 headers")

        api("com.thoughtworks.qdox:qdox:2.0.3")
        api("com.uwyn:jhighlight:1.0")
        api("com.vladsch.flexmark:flexmark-all:0.34.60") {
            because("Higher versions tested are either incompatible (0.62.2) or bring additional unwanted dependencies (0.36.8)")
        }
        api("org.apache.pdfbox:pdfbox:2.0.24") {
            because("Flexmark 0.34.60 brings in a vulnerable version of pdfbox")
        }

#   public URL to share your build results with collaborators. However,
#   it is only available to a limited set of internal TensorFlow developers.
#
#   RBE is incompatible with local caching, so you must remove
#   disk_cache, public_cache, and public_cache_push from your $TFCI file.
#
# To use RBE, you must first run `gcloud auth application-default login`, then:

	// Current version being written.
	xlVersionCurrent [4]byte
)

const (
	// Breaking changes.
	// Newer versions cannot be read by older software.
	// This will prevent downgrades to incompatible versions.
	xlVersionMajor = 1

	// Non breaking changes.
	// Bumping this is informational, but should be done
	// if any change is made to the data stored, bumping this

        else -> false
    }

    gradle.lifecycle.beforeProject {
        tasks.configureEach {
            val task = this
            if (isIncompatible(task)) {
                task.notCompatibleWithConfigurationCache("Task is not compatible with the configuration cache")
            }
        }
    }

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }