return &TypeWithQualifiers{Base: &ArrayType{Dimension: dim, Element: q.Base}, Qualifiers: q.Qualifiers}
	}

	return arr
}

// vectorType parses:
//
//	<vector-type> ::= Dv <number> _ <type>
//	              ::= Dv _ <expression> _ <type>
func (st *state) vectorType(isCast bool) AST {
	if len(st.str) == 0 {
		st.fail("expected vector dimension")
	}

	var dim AST
	if st.str[0] == '_' {

      CreateI32SplatTensor(loc, rewriter, item_rank, 0);
  Value scalar_zero = CreateI32SplatConst(loc, rewriter, {}, 0);
  RankedTensorType vector_type =
      tensorflow::GetTypeFromTFTensorShape({1}, shape_dtype);
  auto expanded_start_index = rewriter->create<TF::ExpandDimsOp>(
      loc, vector_type, start_index, scalar_zero);
  auto start_position = rewriter->create<TF::ConcatOp>(
      loc, position_type, scalar_zero,