httpStats := newHTTPStats()
	// Simulate the concurrent scenario from the original race condition:
	// Multiple HTTP request handlers updating stats concurrently,
	// while background processes are reading the stats for persistence.
	const numWriters = 100 // Simulate many HTTP request handlers.
	const numReaders = 50  // Simulate background stats readers.
	const opsPerGoroutine = 100

	var wg sync.WaitGroup

            assertEquals(expectedCause, e.getCause());
        }
    }

    @Test
    public void test_multipleExceptions_differentStatusCodes() {
        // Test creating multiple exceptions with different status codes
        WebApiException exception1 = new WebApiException(400, "Bad Request");
        WebApiException exception2 = new WebApiException(401, "Unauthorized");

        // Create reconnect context
        DurableHandleReconnect reconnectCtx = new DurableHandleReconnect(info.getFileId());

        // This would typically involve:
        // 1. Creating a new Smb2CreateRequest with reconnect context
        // 2. Adding lease context if needed
        // 3. Sending the request through the appropriate transport
        // 4. Processing the response

You can also use `response_model=None` to disable creating a response model for that *path operation*, you might need to do it if you are adding type annotations for things that are not valid Pydantic fields, you will see an example of that in one of the sections below.

   *
   * <p>Note that even when you do need the ability to add or remove, this method provides only a
   * tiny bit of syntactic sugar for {@code new ArrayList<>(}{@link Arrays#asList asList}{@code
   * (...))}, or for creating an empty list then calling {@link Collections#addAll}. This method is
   * not actually very useful.
   */
  @SafeVarargs
  @SuppressWarnings("NonApiType") // acts as a direct substitute for a constructor call

	jsonfmt "github.com/minio/minio/internal/s3select/json"
	"github.com/minio/minio/internal/s3select/jstream"
	"github.com/minio/minio/internal/s3select/sql"
)

// Reader implements reading records from parquet input.
type Reader struct {
	io.Closer
	r *parquetgo.FileReader
}

// NewParquetReader creates a Reader2 from a io.ReadSeekCloser.

import java.nio.ByteBuffer;
import java.nio.charset.Charset;
import org.jspecify.annotations.Nullable;

/**
 * A {@link PrimitiveSink} that can compute a hash code after reading the input. Each hasher should
 * translate all multibyte values ({@link #putInt(int)}, {@link #putLong(long)}, etc) to bytes in
 * little-endian order.
 *

But normally you won't have to worry about it, it's done automatically, continue reading. 🤓

///

## Use Cases { #use-cases }

You could use this to stream data from an **AI LLM** service, from **logs** or **telemetry**, or from other types of data that can be structured in **JSON** items.

/// tip

	resp := rw.Result()
	if resp.StatusCode != 123 {
		t.Fatalf("unexpected status: %v", resp.StatusCode)
	}
	body, err := io.ReadAll(resp.Body)
	if err != nil {
		t.Fatalf("reading response body failed: %v", err)
	}
	if string(body) != "hello" {
		t.Fatalf("response body incorrect: %v", string(body))
	}

	// Check that Unwrap works
	if trw.Unwrap() != rw {

This is a general-purpose automation platform which takes care of the efficient definition and execution of work, such as tasks.
This platform is agnostic to what exactly the purpose of the work is.
It might be creating an application, setting up development environments, orchestrating deployments, running simulations, etc.