void operator=(const Iterator& other);

    const ParamGeneratorInterface<ParamType>* const base_;
    // begin[i]_ and end[i]_ define the i-th range that Iterator traverses.
    // current[i]_ is the actual traversing iterator.
    const typename ParamGenerator<T1>::iterator begin1_;
    const typename ParamGenerator<T1>::iterator end1_;
    typename ParamGenerator<T1>::iterator current1_;

k(t.detail)?i.apply(void 0,[t].concat(t.detail)):i(t)}),u&&u.self&&(n=h,h=function(t){if(t.target===t.currentTarget||t.target===t.current)return n.call(null,t)}),a&&(h=function(t,n,r){var o=this;return function(i){t.forEach(function(t){var e=">"===n[0]?It(n,t).reverse().filter(function(t){return Yt(i.target,t)})[0]:Dt(i.target,n);e&&(i.delegate=t,i.current=e,r.call(o,i))})}}(o,a,h)),u=Qt(u),s.split(" ").forEach(function(e){return o.forEach(function(t){return t.addEventListener(e,h,u)})}),function(){return Xt(o,s,h,u)}}function...

  }];

  let arguments = (
    ins TFL_TensorOf<[F32, I32, I64]>:$input,
    TFL_I32Tensor:$axis,
    DefaultValuedOptionalAttr<BoolAttr, "false">:$exclusive,
    DefaultValuedOptionalAttr<BoolAttr, "false">:$reverse
  );

  let results = (outs TFL_TensorOf<[F32, I32, I64]>:$output);

  let hasOptions = 1;
}

def TFL_DepthwiseConv2DOp :

				"example.org:80": {"example.org"},
			},
			expectedHTTPRoutes:    map[string]int{"example.org:80": 4},
			redirect:              true,
			expectStatefulSession: true,
		},
		{
			name:            "reverse merging of virtual services when tls redirect is set",
			virtualServices: []config.Config{virtualService, virtualServiceCopy},
			gateways:        []config.Config{httpGateway, httpRedirectGateway},

func.func @cumsum(%arg0: tensor<3x3xf32>, %arg1: tensor<i32>) -> tensor<3x3xf32> {
  %0 = "tf.Cumsum"(%arg0, %arg1) {exclusive = false, reverse = false} : (tensor<3x3xf32>, tensor<i32>) -> tensor<3x3xf32>
  func.return %0 : tensor<3x3xf32>
  // CHECK-LABEL: cumsum
  // CHECK: "tfl.cumsum"(%arg0, %arg1) <{exclusive = false, reverse = false}> : (tensor<3x3xf32>, tensor<i32>) -> tensor<3x3xf32>
}

	pods := []*v1.Pod{
		podWithUIDNameNsSpec("123456789", "newpod", "foo", spec),
		podWithUIDNameNsSpec("987654321", "oldpod", "foo", spec),
	}
	// Make sure the Pods are in the reverse order of creation time.
	pods[1].CreationTimestamp = metav1.NewTime(time.Now())
	pods[0].CreationTimestamp = metav1.NewTime(time.Now().Add(1 * time.Second))
	// The newer pod should be rejected.
	notfittingPod := pods[0]

          forwardCmp = (Comparator) Ordering.natural();
        }
        result = comparator = reverse(forwardCmp);
      }
      return result;
    }

    // If we inline this, we get a javac error.
    private static <T extends @Nullable Object> Ordering<T> reverse(Comparator<T> forward) {
      return Ordering.from(forward).reverse();
    }

    @Override
    @ParametricNullness
    public K firstKey() {

          forwardCmp = (Comparator) Ordering.natural();
        }
        result = comparator = reverse(forwardCmp);
      }
      return result;
    }

    // If we inline this, we get a javac error.
    private static <T extends @Nullable Object> Ordering<T> reverse(Comparator<T> forward) {
      return Ordering.from(forward).reverse();
    }

    @Override
    @ParametricNullness
    public K firstKey() {

                                    rewriter.getI64Type()),
              permutation));
      reverse_filter_in = filter_transposed;
    }

    // Lets hard-code the reverse indexes to be {0, 1} as the expectation is
    // that the kernel is always in HWOI format, with the above code.
    mhlo::ReverseOp filter = rewriter.create<mhlo::ReverseOp>(

	op_TRTO    uint32 = 0xB991 // FORMAT_RRF3       TRANSLATE TWO TO ONE
	op_TRTR    uint32 = 0xD000 // FORMAT_SS1        TRANSLATE AND TEST REVERSE
	op_TRTRE   uint32 = 0xB9BD // FORMAT_RRF3       TRANSLATE AND TEST REVERSE EXTENDED
	op_TRTT    uint32 = 0xB990 // FORMAT_RRF3       TRANSLATE TWO TO TWO
	op_TS      uint32 = 0x9300 // FORMAT_S          TEST AND SET