writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		}
		return
	}
	defer s3Select.Close()

	if err = s3Select.Open(objectRSC); err != nil {
		if serr, ok := err.(s3select.SelectError); ok {
			encodedErrorResponse := encodeResponse(APIErrorResponse{
				Code:       serr.ErrorCode(),
				Message:    serr.ErrorMessage(),
				BucketName: bucket,
				Key:        object,
				Resource:   r.URL.Path,

				// TODO(bradfitz): rather than this best effort select, we
				// should probably start a goroutine to read from req. This best
				// effort select existed before the change to check 'deleted'.
				// But if we know for sure it wasn't deleted and a sender is
				// outstanding, we should probably block on req (in a new
				// goroutine) to get the connection back.
				select {
				default:
				case ret, ok := <-req:

		ctx := r.Context()
		select {
		case <-ctx.Done():
			t.Error("should not be Done in ServeHTTP")
		default:
		}
		ctxc <- ctx
	}))
	res, err := cst.c.Get(cst.ts.URL)
	if err != nil {
		t.Fatal(err)
	}
	res.Body.Close()
	ctx := <-ctxc
	select {
	case <-ctx.Done():
	default:

//===--------------------------------------------------------------------===//
//  tf.Select
//===--------------------------------------------------------------------===//

// Test valid tf.Select
// CHECK-LABEL: func @testSelect
func.func @testSelect(%arg0: tensor<3xi1>, %arg1: tensor<3x2xf16>, %arg2: tensor<3x2xf16>) -> tensor<3x2xf16> {
  %0 = "tf.Select"(%arg0, %arg1, %arg2) : (tensor<3xi1>, tensor<3x2xf16>, tensor<3x2xf16>) -> tensor<3x2xf16>

	Cyrillic               = _Cyrillic               // Cyrillic is the set of Unicode characters in script Cyrillic.
	Deseret                = _Deseret                // Deseret is the set of Unicode characters in script Deseret.
	Devanagari             = _Devanagari             // Devanagari is the set of Unicode characters in script Devanagari.

    %0 = "tf.XlaSelectAndScatter"(%arg0, %cst_1, %cst_0, %cst, %arg1, %arg2) {scatter = @add_scatter, select = @ge_select} : (tensor<4x5x1x1xbf16>, tensor<4xi32>, tensor<4xi32>, tensor<4x2xi32>, tensor<2x2x1x1xbf16>, tensor<bf16>) ->...

t(e){n.call(this,e)}var n=e.wrappers.HTMLElement,r=e.mixin,o=e.registerWrapper,i=window.HTMLContentElement;t.prototype=Object.create(n.prototype),r(t.prototype,{constructor:t,get select(){return this.getAttribute("select")},set select(e){this.setAttribute("select",e)},setAttribute:function(e,t){n.prototype.setAttribute.call(this,e,t),"select"===String(e).toLowerCase()&&this.invalidateShadowRenderer(!0)}}),i&&o(i,t),e.wrappers.HTMLContentElement=t}(window.ShadowDOMPolyfill),function(e){"use strict";function...

    TFL_TCresVTEtIsSameAsOp<0, 1>>]> {
  let summary = "Select operator";

  let description = [{
    Select values of 'x' if the corresponding value of 'condition' is true or
    the value of 'y' if false. There are valid condition input sizes:

    1. Either the same shape (in which case the select is elementwise), or
    2. condition must be Rank 1 and match over the first dimension.
  }];

}

// -----

// test select
// CHECK-LABEL: testSelect
func.func @testSelect(%cond : tensor<?xi1>, %arg0 : tensor<?xi32>, %arg1 : tensor<?xi32>) -> tensor<?xi32> {
  %0 = "tfl.select"(%cond, %arg0, %arg1): (tensor<?xi1>,tensor<?xi32>,tensor<?xi32>) -> tensor<?xi32>
  func.return %0 : tensor<?xi32>
}

// -----

// test select with multi-dim inputs
// CHECK-LABEL: testSelectMultiDim

    }
    if (auto xla_select_and_scatter_op =
            dyn_cast<TF::XlaSelectAndScatterOp>(op)) {
      return propagate_shape_to(xla_select_and_scatter_op.getSelect())
                 .value() &&
             propagate_shape_to(xla_select_and_scatter_op.getScatter()).value();
    } else if (auto xla_variadic_reduce_v2_op =