*Binary Plugins* are full-fledged plugins written in Java, Groovy, or Kotlin, compiled into JAR files, and published to a repository.
They offer the best performance, maintainability, and reusability.
They are suitable for complex build logic that needs to be shared across projects, builds, and teams.
You can also write them in Scala or Groovy but that is not recommended.

Here is a breakdown of all options for implementing Gradle plugins:

[cols="~,~,~,~,~"]

            name().toLowerCase().replace('_', ' ')
        }
    }

    static final String ORIGINAL_GREETING = 'Hello!'
    static final String CHANGED_GREETING = "G'day!"

    public final String pluginId = 'build-logic'
    public final String task = 'greet'
    public final TestFile projectDir
    public final Language language
    public final Kind kind
    public final TestFile buildFile

}

// GenerateKey generates a new decapsulation key, drawing random bytes from
// crypto/rand. The decapsulation key must be kept secret.
func GenerateKey() (*DecapsulationKey, error) {
	// The actual logic is in a separate function to outline this allocation.
	dk := &DecapsulationKey{}
	return generateKey(dk)
}

func generateKey(dk *DecapsulationKey) (*DecapsulationKey, error) {
	var d [32]byte

		if err != nil {
			t.Fatalf("Test %d: %s: Failed to create HTTP request for Head Object: <ERROR> %v", i+1, instanceType, err)
		}
		// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.
		// Call the ServeHTTP to execute the handler,`func (api objectAPIHandlers) GetObjectHandler`  handles the request.
		apiRouter.ServeHTTP(rec, req)

		// Assert the response code with the expected status.

    return failure();
  }

  Attribute activation_quantization_axis = rewriter.getI64IntegerAttr(-1);
  Attribute output_quantization_axis = rewriter.getI64IntegerAttr(-1);
  // TODO(b/296916785): Revisit axis assignment logic.
  if (enable_per_channel_quantization) {
    activation_quantization_axis =
        GetQuantizationAxis(rewriter, op, /*operand_index=*/0);

    auto output_scale_type =

	// Overall timeout value to dial a Unix domain socket, including retries
	socketDialTimeout = 4 * time.Second
)

// IsUnixDomainSocket returns whether a given file is a AF_UNIX socket file
// Note that due to the retry logic inside, it could take up to 4 seconds
// to determine whether or not the file path supplied is a Unix domain socket
func IsUnixDomainSocket(filePath string) (bool, error) {

        // which results in an exception since we don't have a decompiler for them. See KT-64898, KT-64899, and KT-64900. If not for these
        // issues, we would be able to use `analyze` instead of custom session logic.
        val session = LLFirSessionCache.getInstance(project).getSession(ktModule, preferBinary = true)
        return session.symbolProvider.getClassLikeSymbolByClassId(classId)
    }

  }
};

// Inserts a "quant.qcast" and "quant.dcast" op pair (QDQs) in place of the
// tf.FakeQyantWithMinMax{Vars|VarsPerChannel|Args}Op
// before the op being constant folded. Since the constant
// folding logic will use a "arith.constant" op to replace the
// "tf.FakeQuantWithMinMaxVarsOp", the "quant.qcast" op is used to preserve
// the quantization parameters as a TypeAttr and "quant.dcast" op used to

plugins {
    id("gradlebuild.distribution.implementation-java")
}

description = """This project contains most of the dependency management logic of Gradle:
    |* the resolution engine,
    |* how to retrieve and process dependencies and their metadata,
    |* the dependency locking and verification implementations.
    |
    |DSL facing APIs are to be found in 'core-api'""".trimMargin()

errorprone {
    disabledChecks.addAll(

			injectionCMName = util.GetInjectorConfigMapName(nsRevision)
		} else {
			return true
		}

		// If the pod has been annotated with a custom sidecar, then ignore as
		// it always overrides the injector logic.
		if r.Metadata.Annotations["sidecar.istio.io/proxyImage"] != "" {
			return true
		}

		variant := resolver.ImageType(r)