"xyz.rogfam:littleproxy",
            setOf("barchart-udt-bundle", "guava", "commons-cli")
        )

        // TODO: Gradle profiler should use the bundled tooling API.
        //   This should actually be handled by conflict resolution, though it doesn't seem to work.
        //   See https://github.com/gradle/gradle/issues/12002.
        applyRule<DependencyRemovalByNameRule>(
            "org.gradle.profiler:gradle-profiler",

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

```Python
from unicorn import UnicornMiddleware

app = SomeASGIApp()

new_app = UnicornMiddleware(app, some_config="rainbow")
```

But FastAPI (actually Starlette) provides a simpler way to do it that makes sure that the internal middlewares handle server errors and custom exception handlers work properly.

For that, you use `app.add_middleware()` (as in the example for CORS).

                Arguments.of("name length exceeds remaining", (java.util.function.Supplier<byte[]>) () -> {
                    byte[] buf = buildBuffer(der, nameBytes);
                    // Corrupt NAME_LEN to be larger than actual by +5
                    int i = 2 + 2 + der.length; // index where NAME_LEN starts
                    int fakeLen = nameBytes.length + 5;
                    buf[i] = (byte) ((fakeLen >>> 24) & 0xFF);

        }
    }

    /**
     * Processes an S3 request with timeout management.
     * @param uri the URI to process
     * @param includeContent whether to include the actual content in the response
     * @return the response data for the request
     * @throws CrawlingAccessException if an error occurs while processing the request
     */

        // Clear changes to test next scenario
        entry.markComplete();
        assertFalse(entry.hasChanges());

        // Update with same values - should not mark as changed (no actual change)
        entry.updateChild(childName, 1024L, 1000L, false, 0x20, 500L, 800L);
        assertFalse(entry.hasChanges());

        // Update with different values - should mark as changed

		removeRoots(disks)
		t.Fatal(err)
	}
	defer removeRoots(disks)
	z := objLayer.(*erasureServerPools)
	testShuffleDisks(t, z)
}

// Test shuffleDisks which returns shuffled slice of disks for their actual distribution.
func testShuffleDisks(t *testing.T, z *erasureServerPools) {
	disks := z.serverPools[0].GetDisks(0)()
	distribution := []int{16, 14, 12, 10, 8, 6, 4, 2, 1, 3, 5, 7, 9, 11, 13, 15}

	return true, fmt.Errorf("unknown compression scheme: %s", scheme)
}

// GetActualSize - returns the actual size of the stored object
func (o ObjectInfo) GetActualSize() (int64, error) {
	if o.ActualSize != nil {
		return *o.ActualSize, nil
	}
	if o.IsCompressed() {
		sizeStr := o.UserDefined[ReservedMetadataPrefix+"actual-size"]
		if sizeStr != "" {
			size, err := strconv.ParseInt(sizeStr, 10, 64)
			if err != nil {

alias(
    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(

#### Fix it with `secrets.compare_digest()` { #fix-it-with-secrets-compare-digest }

But in our code we are actually using `secrets.compare_digest()`.

In short, it will take the same time to compare `stanleyjobsox` to `stanleyjobson` than it takes to compare `johndoe` to `stanleyjobson`. And the same for the password.