`Generators` get as input the `Proxy` (a representation of the current client), the current `PushContext` snapshot, and a list of config updates that caused the change.

    inputs.property('acceptedViolations', acceptedViolations.toAcceptedChangesMap())
    inputs.property("baseline.version", compatibilityBaselineVersion)
    inputs.property("currentVersion", baseVersion)
    def apiSourceFolders = configurations.currentSources.incoming.artifactView { lenient(true) }.files
    inputs.files("apiSourceFolders", apiSourceFolders)
    inputs.files(currentClasspath)

        "//tensorflow/core/grappler:grappler_item",
        "//tensorflow/core/grappler/clusters:single_machine",
        "//tensorflow/core/grappler/costs:graph_properties",
        "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder",
        "//tensorflow/core/protobuf:error_codes_proto_impl_cc",
    ],

wrapperUpdateTask("nightly", "nightly")
wrapperUpdateTask("rc", "release-candidate")
wrapperUpdateTask("current", "current")

tasks.withType<Wrapper>().configureEach {
    val jvmOpts = "-Dfile.encoding=UTF-8"
    inputs.property("jvmOpts", jvmOpts)
    doLast {
        val optsEnvVar = "DEFAULT_JVM_OPTS"
        scriptFile.writeText(scriptFile.readText().replace("$optsEnvVar='", "$optsEnvVar='$jvmOpts "))

Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate

        }
    }
}

fun Test.addOsAsInputs() {
    // Add OS as inputs since tests on different OS may behave differently https://github.com/gradle/gradle-private/issues/2831
    // the version currently differs between our dev infrastructure, so we only track the name and the architecture
    inputs.property("operatingSystem", "${OperatingSystem.current().name} ${System.getProperty("os.arch")}")
}

    val generatorRoot = "$projectDir/analysis/analysis-api-fir/analysis-api-fir-generator/src/"

    val generatorConfigurationFiles = fileTree(generatorRoot) {
        include("**/*.kt")
    }

    inputs.files(generatorConfigurationFiles)

    workingDir = rootDir
    classpath = generatorClasspath
    mainClass.set("org.jetbrains.kotlin.analysis.api.fir.generator.MainKt")
    systemProperties["line.separator"] = "\n"

/**
 * Tests that check the end-to-end behavior of a Gradle distribution.
 * They can have a locally built Gradle distribution on their runtime classpath
 * and distributions as well as local repositories as additional test inputs
 * to test functionality that requires rea distributions (like the wrapper)
 * or separately published libraries (like the Tooling API Jar).
 */

        daemonRegistry = repoRoot().dir("build/daemon")
        gradleSnippetsDir = repoRoot().dir("platforms/documentation/docs/src/snippets") // TODO use dependency management
    }

    // Wire the different inputs for local distributions and repos that are declared by dependencies in the build scripts
    normalizedDistributionZip.distributionZip = configurations["${prefix}TestNormalizedDistributionPath"]

                    }

                    tasks.register<JapicmpTask>("checkBinaryCompatibility") {

                        dependsOn(":v1:jar", ":v2:jar")
                        inputs.files(extractGradleApiInfo)

                        oldArchives.from(v1Jar)
                        oldClasspath.from(v1.configurations.named("runtimeClasspath"), v1Jar)

                        newArchives.from(v2Jar)