void cacheCapacityAndRetrievalOrder() {
        BufferCacheImpl impl = new BufferCacheImpl(2, 3);
        byte[] a = new byte[1];
        byte[] c = new byte[2];
        byte[] d = new byte[4];

        impl.releaseBuffer(a); // goes to slot 0
        impl.releaseBuffer(c); // goes to slot 1
        impl.releaseBuffer(d); // dropped (cache full)

 */
@SuppressSignatureCheck
class YubikeyClientAuth {
  fun run() {
    // The typical PKCS11 slot, may vary with different hardware.
    val slot = 0

    val config = "--name=OpenSC\nlibrary=/Library/OpenSC/lib/opensc-pkcs11.so\nslot=$slot\n"

    // May fail with ProviderException with root cause like
    // sun.security.pkcs11.wrapper.PKCS11Exception: CKR_SLOT_ID_INVALID

import configurations.applyDefaults
import configurations.applyTestDefaults
import io.mockk.every
import io.mockk.impl.annotations.MockK
import io.mockk.junit5.MockKExtension
import io.mockk.mockk
import io.mockk.slot
import jetbrains.buildServer.configs.kotlin.BuildStep
import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.DslContext
import model.CIBuildModel

//     higher task limit).
//
//     <S3ConcurrentTaskLimit>
//
//   - Defines how many S3 operations are executed parallel within one Repository Task Slot (and within one backup object
//     that gets offloaded). The same registry key setting overwrites the storage-defined setting.
//     Optional value, default 64, range: 1-unlimited
//
//   - <S3MultiObjectDeleteLimit>

        url = uri("https://repo.gradle.org/gradle/public")
        content {
            includeGroup("net.rubygrapefruit")
            includeGroup("org.gradle.fileevents")
            includeModule("flot", "flot")
            includeModule("org.gradle", "gradle-tooling-api")
            includeModule("org.gradle.buildtool.internal", "configuration-cache-report")

            ivy("[organization]/[revision]/[module].xml")
        }
        metadataSources {
            artifact()
        }
        content {
            includeGroup("jquery")
            includeGroup("flot")
        }
    }

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of **flexibility**. You can return any data type, override any data declaration or validation, etc.

It also gives you a lot of **responsibility**. You have to make sure that the data you return is correct, in the correct format, that it can be serialized, etc.

    assertThrows(IndexOutOfBoundsException.class, () -> sink.putBytes(new byte[8], 0, -1));
  }

  /**
   * This test creates a long random sequence of inputs, then a lot of differently configured sinks
   * process it; all should produce the same answer, the only difference should be the number of
   * process()/processRemaining() invocations, due to alignment.
   */

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

GitHub Repository: [Full Stack FastAPI Template](https://github.com/tiangolo/full-stack-fastapi-template)