%4 = "tf.LayerNorm"(%a1, %a2, %a3, %a4) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
   "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
  }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>

        newStartedThread(
            new CheckedRunnable() {
              @Override
              public void realRun() {
                while (!at.compareAndSet(2.0, 3.0)) {
                  Thread.yield();
                }
              }
            });

    assertTrue(at.compareAndSet(1.0, 2.0));
    awaitTermination(t);
    assertBitEquals(3.0, at.get());
  }

}

/**
 * Returns true if the response headers and status indicate that this response has a (possibly
 * 0-length) body. See RFC 7231.
 */
fun Response.promisesBody(): Boolean {
  // HEAD requests never yield a body regardless of the response headers.
  if (request.method == "HEAD") {
    return false
  }

  val responseCode = code
  if ((responseCode < HTTP_CONTINUE || responseCode >= 200) &&

    from docs_src.sql_databases.sql_app import alt_main

    # Ensure import side effects are re-executed
    importlib.reload(alt_main)

    with TestClient(alt_main.app) as c:
        yield c
    if test_db.is_file():  # pragma: nocover
        test_db.unlink()


# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):

            "This behavior has been deprecated. This will fail with an error in Gradle 9.0. " +
            "Resolving relative file paths might yield unexpected results, there is no single clear location it would make sense to resolve against. " +
            "Configure an absolute path to a Java executable instead. " +

limitations under the License.
==============================================================================*/

// This pass hoists replicate invariant ops, or ops that yield the same
// result(s) regardless of replication, out of their respective replicate.

#include <memory>
#include <optional>

#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"

}

// Verifies that tf.Yield op which has no result and is not side effecting is
// preserved.
//
// CHECK-LABEL: func @yieldOp
func.func @yieldOp(%arg0: tensor<f32>, %arg1: tensor<f32>, %arg2: tensor<i1>) -> (tensor<f32>) {
  // CHECK-COUNT-2: tf.Yield
  %0 = "tf.IfRegion"(%arg2) ({
      "tf.Yield"(%arg0) : (tensor<f32>) -> ()
    }, {
      "tf.Yield"(%arg1) : (tensor<f32>) -> ()

  // Allow either the "yield cond" or "yield cond, arg1, ... argN" form,
  // for the yield in the condition block.
  if (cond_yield->getNumOperands() != 1 &&
      cond_yield->getNumOperands() != op.getCond().getArguments().size() + 1)
    return op.emitOpError()
           << "condition should yield a tensor<i1> and forward the arguments";

  auto cond_type =

    from docs_src.sql_databases.sql_app import main

    # Ensure import side effects are re-executed
    importlib.reload(main)
    with TestClient(main.app) as c:
        yield c
    if test_db.is_file():  # pragma: nocover
        test_db.unlink()
    os.chdir(cwd)


# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):

    from docs_src.sql_databases.sql_app_py310 import alt_main

    # Ensure import side effects are re-executed
    importlib.reload(alt_main)

    with TestClient(alt_main.app) as c:
        yield c
    if test_db.is_file():  # pragma: nocover
        test_db.unlink()
    os.chdir(cwd)


@needs_py310
# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):