// to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {

        // Instead, we verify the interaction with the DcerpcHandle and the return value.
        // The fact that the constructor completes without exception and sets 'opened' to true
        // implies the correct parameters were used internally.
    }

    @Test
    void constructor_shouldThrowSmbExceptionOnOpenFailure() throws IOException {
        // Arrange
        int access = 1;
        int rid = 100;

        int written = close.writeParameterWordsWireFormat(buffer, 0);
        assertEquals(6, written, "writeParameterWordsWireFormat should return 6");
        // Only compare the first 6 bytes that were actually written
        byte[] actualWritten = new byte[6];
        System.arraycopy(buffer, 0, actualWritten, 0, 6);
        assertArrayEquals(expected, actualWritten, "wire format should match expectation");
    }

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

////

## Recap { #recap }

Apart from all the fancy words used here, the **Dependency Injection** system is quite simple.

Just functions that look the same as the *path operation functions*.

 * shared state without additional synchronization necessary for visibility to later executions of
 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;

How to contribute
=================

Thank you so much for wanting to contribute to Guava! Here are a few important
things you should know about contributing:

1.  API changes require discussion, use cases, etc. Code comes later.
2.  Pull requests are great for small fixes for bugs, documentation, etc.
3.  Pull requests are not merged directly into the master branch.
4.  Code contributions require signing a Google CLA.

API changes
-----------

    subprojectName: String,
): Boolean =
    if (testCoverage.os == Os.MACOS && testCoverage.arch == Arch.AMD64) {
        subprojectName.contains("native") ||
            // Include precondition-tester here so we understand that tests do run on macOS intel as well
            subprojectName in listOf("file-watching", "snapshots", "workers", "logging", "precondition-tester")
    } else {
        true

          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install docs extras
        run: uv pip install -r requirements-docs.txt
      # Install MkDocs Material Insiders here just to put it in the cache for the rest of the steps
      - name: Install Material for MkDocs Insiders
        if: ( github.event_name != 'pull_request' || github.secret_source == 'Actions' )

## Development Workflow

Start by forking the MinIO GitHub repository, make changes in a branch and then send a pull request. We encourage pull requests to discuss code changes. Here are the steps in details:

### Setup your MinIO GitHub Repository

  CollectionSize(int numElements) {
    this.implied = emptySet();
    this.numElements = numElements;
  }

  CollectionSize(Feature<? super Collection>... implied) {
    // Keep the order here, so that PerCollectionSizeTestSuiteBuilder
    // gives a predictable order of test suites.
    this.implied = copyToSet(implied);
    this.numElements = null;
  }

  @Override