// 	switch op {
	// 	case OpAdd16:
	//		res.val = newConst(argLt1.val.AuxInt16() + argLt2.val.AuxInt16())
	// 	case OpAdd32:
	// 		res.val = newConst(argLt1.val.AuxInt32() + argLt2.val.AuxInt32())
	//	case OpDiv8:
	//		if !isDivideByZero(argLt2.val.AuxInt8()) {
	//			res.val = newConst(argLt1.val.AuxInt8() / argLt2.val.AuxInt8())
	//		}
	//  ...
	// 	}
	//

        for (Object argument : arguments) {
            String argStr = argument.toString();

            if (argStr.equals("-ea") || argStr.equals("-enableassertions")) {
                assertionsEnabled = true;
            } else if (argStr.equals("-da") || argStr.equals("-disableassertions")) {
                assertionsEnabled = false;
            } else if (argStr.startsWith(XMS_PREFIX)) {

Ian Lance Taylor <******@****.***> 1681508172 -0700

			}
		})
	}
}

func TestParse(t *testing.T) {
	type args struct {
		arnStr string
	}
	tests := []struct {
		name    string
		args    args
		wantArn ARN
		wantErr bool
	}{
		{
			name: "valid ARN must succeed",
			args: args{
				arnStr: "arn:minio:iam:us-east-1::role/my-role",
			},
			wantArn: ARN{
				Partition:    "minio",
				Service:      "iam",

    }

    void runPrevious() {
        previousExecuter.withArguments(argFor(previous.version), 'help').run()
    }

    void runCurrent() {
        currentExecuter.withArguments(argFor(current.version), 'help').run()
    }

    private static String argFor(GradleVersion version) {
        version.baseVersion < GradleVersion.version("6.6")
            ? "--${LONG_OPTION}=on"

					val = fmt.Sprintf("%#v", out)
				} else {
					val = fmt.Sprintf("%T(%v)", out, out)
				}
				fmt.Fprintf(&buf, "\t%s, // %s(%s)\n", val, m.Name, argstr)
			} else if p >= len(regressGolden) {
				t.Errorf("r.%s(%s) = %v, missing golden value", m.Name, argstr, out)
			} else {
				want := regressGolden[p]
				if m.Name == "Int" {
					want = int64(int(uint(want.(int64)) << 1 >> 1))
				}
				if m.Name == "Uint" {

    return nullptr;
  tensorflow::Var* var_ptr = nullptr;
  const auto& container = var_handle_op.getContainer().str();
  auto status = device->resource_manager()->Lookup(
      (container.empty() ? device->resource_manager()->default_container()
                         : container),
      var_handle_op.getSharedName().str(), &var_ptr);
  if (!device || !status.ok()) return nullptr;
  return var_ptr;
}

  tensorflow::AbstractTensorHandlePtr var;
  {
    AbstractTensorHandle* var_ptr = nullptr;
    PartialTensorShape scalar_shape;
    TF_EXPECT_OK(
        PartialTensorShape::MakePartialShape<int32_t>({}, 0, &scalar_shape));
    TF_EXPECT_OK(tensorflow::ops::VarHandleOp(ctx_.get(), &var_ptr, DT_FLOAT,
                                              scalar_shape));
    var.reset(var_ptr);
  }
  // Assign a value.

		bz2.c[b]++
		bufIndex++
	}

	if origPtr >= uint(bufIndex) {
		return StructuralError("origPtr out of bounds")
	}

	// We have completed the entropy decoding. Now we can perform the
	// inverse BWT and setup the RLE buffer.
	bz2.preRLE = bz2.tt[:bufIndex]
	bz2.preRLEUsed = 0
	bz2.tPos = inverseBWT(bz2.preRLE, origPtr, bz2.c[:])
	bz2.lastByte = -1
	bz2.byteRepeats = 0
	bz2.repeats = 0

// different.

var bad = false

var allptr = make([]*int, 0, 100)

func noalias(p, q *int, s string) {
	n := len(allptr)
	*p = -(n + 1)
	*q = -(n + 2)
	allptr = allptr[0 : n+2]
	allptr[n] = p
	allptr[n+1] = q
	n += 2
	for i := 0; i < n; i++ {
		if allptr[i] != nil && *allptr[i] != -(i+1) {
			println("aliased pointers", -(i + 1), *allptr[i], "after", s)
			allptr[i] = nil
			bad = true
		}
	}
}