t.Error("errors.Is failed, wanted success")
	}
}

func macosMajorVersion(t *testing.T) (int, error) {
	cmd := testenv.Command(t, "sw_vers", "-productVersion")
	out, err := cmd.Output()
	if err != nil {
		if ee, ok := err.(*exec.ExitError); ok && len(ee.Stderr) > 0 {
			return 0, fmt.Errorf("%v: %v\n%s", cmd, err, ee.Stderr)
		}
		return 0, fmt.Errorf("%v: %v", cmd, err)
	}

	// If retention is necessary, copy their values before the next call to Scan.
	Scan(src any) error
}

// Out may be used to retrieve OUTPUT value parameters from stored procedures.
//
// Not all drivers and databases support OUTPUT value parameters.
//
// Example usage:
//
//	var outArg string
//	_, err := db.ExecContext(ctx, "ProcName", sql.Named("Arg1", sql.Out{Dest: &outArg}))

//
// chunkWriter also is responsible for finalizing the Header, including
// conditionally setting the Content-Type and setting a Content-Length
// in cases where the handler's final output is smaller than the buffer
// size. It also conditionally adds chunk headers, when in chunking mode.
//
// See the comment above (*response).Write for the entire write flow.
type chunkWriter struct {
	res *response

  // we don't know which one it is. TF shape inference turns unranked outputs
  // into ranked ones if it can statically evaluate the broadcast, see the shape
  // function of tf.Equal.
  auto ty = mlir::dyn_cast<RankedTensorType>(op.getType());
  if (!ty) {
    return rewriter.notifyMatchFailure(op, "requires a ranked output shape");
  }

    return op.emitError() << "output 'sparse_indices' should have same length "
                          << "as attribute 'sparse_types'";
  }
  if (op.getSparseShapes().size() != sparse_types_count) {
    return op.emitError() << "output 'sparse_shapes' should have same length "
                          << "as attribute 'sparse_types'";
  }

  // Validate ragged variadic output lengths.

	enclosingParams bool // whether to print enclosing parameters
	llvmStyle       bool
	max             int // maximum output length

	// The scopes field is used to avoid unnecessary parentheses
	// around expressions that use > (or >>). It is incremented if
	// we output a parenthesis or something else that means that >
	// or >> won't be treated as ending a template. It starts out

func.func private @dense_image_warp_invalid_flow_shape(%arg0: tensor<2x4x4x1xf32>, %arg1: tensor<2x4x4xf32>) -> tensor<2x4x4x1xf32> attributes {tf._implements = "addons:DenseImageWarp"}

// expected-warning @+1 {{Output should be a 4D float tensor}}
func.func private @dense_image_warp_invalid_output_shape(%arg0: tensor<2x4x4x1xf32>, %arg1: tensor<2x4x4x2xf32>) -> tensor<2x4x4xf32> attributes {tf._implements = "addons:DenseImageWarp"}

    /** The key of the message: lang */
    public static final String LABELS_LANG = "{labels.lang}";

    /** The key of the message: Target */
    public static final String LABELS_OUTPUTS = "{labels.outputs}";

    /** The key of the message: POS */
    public static final String LABELS_POS = "{labels.pos}";

    /** The key of the message: Purge Job Log Before */

		}
		if IsRO(vout1) {
			t.Errorf("self-conversion output %v is RO, should not be", vout1)
		}
		if IsRO(vout2) {
			t.Errorf("conversion output %v is RO, should not be", vout2)
		}
		if IsRO(vout3) {
			t.Errorf("set(conversion output) %v is RO, should not be", vout3)
		}
		if !IsRO(MakeRO(v1).Convert(t1)) {
			t.Errorf("RO self-conversion output %v is not RO, should be", v1)
		}

			}
			if p.From.Reg&1 != 0 {
				c.ctxt.Diag("input argument must be even register in %v", p)
			}
			if p.To.Reg == REG_R0 {
				c.ctxt.Diag("output argument must not be R0 in %v", p)
			}
			if p.To.Reg&1 != 0 {
				c.ctxt.Diag("output argument must be an even register in %v", p)
			}
			if p.Reg == REG_R0 {
				c.ctxt.Diag("third argument must not be R0 in %v", p)
			}
			if p.Reg&1 != 0 {