a.Name = obj.NAME_PARAM
	} else {
		a.Name = obj.NAME_AUTO
	}
}

// Call returns a new CALL instruction for the SSA value v.
// It uses PrepareCall to prepare the call.
func (s *State) Call(v *ssa.Value) *obj.Prog {
	pPosIsStmt := s.pp.Pos.IsStmt() // The statement-ness fo the call comes from ssaGenState
	s.PrepareCall(v)

	p := s.Prog(obj.ACALL)

// RUN: tf-opt -tfl-prepare-composite-funcs-tf="fuse-tftext=true" %s | FileCheck %s

func.func private @whitespace_tokenizer_rank1(%arg0: tensor<1x!tf_type.string> {tf._user_specified_name = "input"}) -> (tensor<?x!tf_type.string>, tensor<?xi64>) attributes {tf._input_shapes = [#tf_type.shape<1>], tf._implements = #tf_type.func<@"tftext:WhitespaceTokenizer", {}>, tf.signature.is_stateful} {
  %0 = "tf.Const"() {value = dense<[0, 1]> : tensor<2xi64>} : () -> tensor<2xi64>

* ✅ Refactor 2 tests, for consistency and simplification. PR [#9504](https://github.com/tiangolo/fastapi/pull/9504) by [@tiangolo](https://github.com/tiangolo).
* ✅ Refactor OpenAPI tests, prepare for Pydantic v2. PR [#9503](https://github.com/tiangolo/fastapi/pull/9503) by [@tiangolo](https://github.com/tiangolo).