import java.util.concurrent.TimeUnit;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/**
 * An unbounded {@linkplain BlockingQueue blocking queue} that uses the same ordering rules as class
 * {@link PriorityQueue} and supplies blocking retrieval operations. While this queue is logically
 * unbounded, attempted additions may fail due to resource exhaustion (causing {@code

      HashFunction hasher = Hashing.goodFastHash(i);
      assertTrue(hasher.bits() >= i);
      HashTestUtils.assertInvariants(hasher);
    }
  }

  // goodFastHash(32) uses Murmur3_32. Use the same epsilon bounds.
  public void testGoodFastHash32() {
    HashTestUtils.check2BitAvalanche(Hashing.goodFastHash(32), 250, 0.20);
    HashTestUtils.checkAvalanche(Hashing.goodFastHash(32), 250, 0.17);

These examples are intentionally simple, but show how it all works.

In the chapters about security, there are utility functions that are implemented in this same way.

If you understood all this, you already know how those utility tools for security work underneath.

if "%FESS_MAX_MEM%" == "" (
set FESS_MAX_MEM=1g
)

if NOT "%FESS_HEAP_SIZE%" == "" (
set FESS_MIN_MEM=%FESS_HEAP_SIZE%
set FESS_MAX_MEM=%FESS_HEAP_SIZE%
)

REM min and max heap sizes should be set to the same value to avoid
REM stop-the-world GC pauses during resize, and so that we can lock the
REM heap in memory on startup to prevent any of it from being swapped
REM out.

-->
<super-source path="super"/>

<inherits name="com.google.common.annotations.Annotations" />
<inherits name="com.google.common.base.Base" />
<inherits name="com.google.common.collect.Collect" />
<inherits name="com.google.common.math.Math" />
<inherits name="com.google.common.util.concurrent.Concurrent" />
<inherits name="com.google.gwt.core.Core" />
<inherits name="com.google.gwt.user.User" />

        SmbAuthException thrown =
                assertThrows(SmbAuthException.class, () -> SmbCopyUtil.openCopyTargetFile(dest, SmbConstants.ATTR_NORMAL, false));
        assertSame(authEx, thrown, "Should rethrow the same SmbAuthException instance");
        verify(dest, times(1)).getAttributes();
        verify(dest, never()).setPathInformation(anyInt(), anyLong(), anyLong(), anyLong());
    }

    @Test

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

When you PUT an object in a versioning-enabled bucket, the noncurrent version is not overwritten. The following figure shows that when a new version of `spark.csv` is PUT into a bucket that already contains an object with the same name, the original object (ID = `ede336f2`) remains in the bucket, MinIO generates a new version (ID = `fae684da`), and adds the newer version to the bucket.

(A SQL separator is semicolon ";")

take-finally-*.sql:
SQL statements for check loaded data (or DDL after data loading)
You should write your own SQL statements in this file.
(basically same specifications as replace-schema.sql)

The "data" directory is for data loading like this:
/- - - - - - - - - - - - - - - - - - - -
playsql
  |-data
     |-common
     |  |-xls
     |     |-10-master.xls

The first `"/static"` refers to the sub-path this "sub-application" will be "mounted" on. So, any path that starts with `"/static"` will be handled by it.

The `directory="static"` refers to the name of the directory that contains your static files.

The `name="static"` gives it a name that can be used internally by **FastAPI**.

All these parameters can be different than "`static`", adjust them with the needs and specific details of your own application.