// Go string to C string
	// The C string is allocated in the C heap using malloc.
	// It is the caller's responsibility to arrange for it to be
	// freed, such as by calling C.free (be sure to include stdlib.h
	// if C.free is needed).
	func C.CString(string) *C.char

	// Go []byte slice to C array
	// The C array is allocated in the C heap using malloc.

using tensorflow::PartialTensorShape;
using tensorflow::RunMetadata;
using tensorflow::RunOptions;
using tensorflow::Session;
using tensorflow::Status;
using tensorflow::string;
using tensorflow::Tensor;
using tensorflow::TensorId;
using tensorflow::TensorShapeProto;
using tensorflow::VersionDef;
using tensorflow::errors::FailedPrecondition;
using tensorflow::errors::InvalidArgument;
using tensorflow::errors::OutOfRange;

    val call = client.newCall(request)
    val response1 = call.execute()
    val cloned = call.clone()
    val response2 = cloned.execute()
    assertThat("abc").isEqualTo(response1.body.string())
    assertThat("def").isEqualTo(response2.body.string())
  }

  @Test
  fun legalToExecuteTwiceCloning_Async() {
    server.enqueue(MockResponse(body = "abc"))
    server.enqueue(MockResponse(body = "def"))

    gzipSink.close()
    return result
  }

  private fun assertContent(
    expected: String,
    response: Response,
    limit: Int = Int.MAX_VALUE,
  ) {
    assertThat(readAscii(response.body.byteStream(), limit)).isEqualTo(expected)
  }

  private fun newSet(vararg elements: String): Set<String> {
    return setOf(*elements)
  }

  internal enum class TransferKind {
    CHUNKED {

Sebastián Ramírez <******@****.***> 1728247014 +0200

# Using the Request Directly

Up to now, you have been declaring the parts of the request that you need with their types.

Taking data from:

* The path as parameters.
* Headers.
* Cookies.
* etc.

And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.

But there are situations where you might need to access the `Request` object directly.

Sebastián Ramírez <******@****.***> 1728247014 +0200

Sebastián Ramírez <******@****.***> 1728247014 +0200

Sebastián Ramírez <******@****.***> 1728247014 +0200

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.