# Enable configuration cache
org.gradle.configuration-cache=true
org.gradle.configuration-cache.problems=fail
org.gradle.configuration-cache.parallel=true

# Only configure projects reachable from the requested tasks, skipping unrelated subprojects
org.gradle.isolated-projects=true

android.useAndroidX=true
kotlin.mpp.applyDefaultHierarchyTemplate=false

androidBuild=false
graalBuild=false
loomBuild=false
containerTests=false

     */
    protected
    fun setupPluginRequirements() {
        projectDir.resolve("version.txt").writeText("9999999.0") // All released versions should be lower than this
        projectDir.resolve("released-versions.json").writeText(
            """
                {
                  "latestReleaseSnapshot": {
                    "version": "7.6-20220831090819+0000",

developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and demonstrate the compelling performance that TensorFlow achieves for several real-world applications....

import java.nio.file.*;
import java.util.*;
import java.util.concurrent.*;
import java.util.regex.*;
import java.util.stream.*;

/**
 * TeamCity helper script to validate that each commit in a PR uses only released Gradle versions in the wrapper.
 *
 * Usage (Java 11+ single-file source execution):
 *   java .teamcity/scripts/CheckWrapper.java < commits.txt
 *
 * Reads commit SHAs from stdin (one per line), checks wrapper per commit.

	go func() {
		time.Sleep(2 * testDrwMutexAcquireTimeout)
		drwm1.RUnlock(t.Context())
		// fmt.Println("1st read lock released, waiting...")
	}()

	go func() {
		time.Sleep(3 * testDrwMutexAcquireTimeout)
		drwm2.RUnlock(t.Context())
		// fmt.Println("2nd read lock released, waiting...")
	}()

	drwm3 := NewDRWMutex(ds, "simplelock")
	// fmt.Println("Trying to acquire write lock, waiting...")

	// fmt.Println("2nd read lock acquired, waiting...")

	go func() {
		time.Sleep(2 * time.Second)
		lrwm.RUnlock()
		// fmt.Println("1st read lock released, waiting...")
	}()

	go func() {
		time.Sleep(3 * time.Second)
		lrwm.RUnlock()
		// fmt.Println("2nd read lock released, waiting...")
	}()

	// fmt.Println("Trying to acquire write lock, waiting...")
	locked = lrwm.GetLock(ctx, "", "", duration)
	if locked {

        assertSame(creds, unwrapped, "unwrap returns the same object instance");

        // unwrap to unrelated type should return null (use another Credentials implementation)
        assertNull(creds.unwrap(NtlmPasswordAuthenticator.class), "unwrap to unrelated type returns null");

        // domain and flags are surfaced as given
        assertEquals("DOMAIN", creds.getUserDomain());

 * one or more streams, and then released. An allocated connection won't be stolen by other calls
 * while a redirect or authorization challenge is being handled.
 *
 * When the maximum concurrent streams limit is reduced, some allocations will be rescinded.
 * Attempting to create new streams on these allocations will fail.
 *
 * Note that an allocation may be released before its stream is completed. This is intended to make

		time.Sleep(5 * testDrwMutexAcquireTimeout)
		// fmt.Println("Unlocking dm1")

		dm1st.Unlock(t.Context())
	}()

	dm2nd.Lock(id, source)

	// fmt.Printf("2nd lock obtained after 1st lock is released\n")
	time.Sleep(testDrwMutexRefreshCallTimeout * 2)

	dm2nd.Unlock(t.Context())
}

// Test three locks for same resource, one succeeds, one fails (after timeout)

            <p>
            We check the binary compatibility by comparing the current code’s binary interfaces
            against THE LATEST VERSION WHICH IS RELEASED FROM RELEASE BRANCH (from `released-version.json` on this branch)
            AND LOWER THAN CURRENT BASE VERSION (from `version.txt` on this branch).