}
  std::unordered_set<string> control_input_a;
  std::unordered_set<string> control_input_b;
  for (int i = 0; i < a.input_size(); ++i) {
    if (absl::StartsWith(a.input(i), "^")) {
      if (!absl::StartsWith(b.input(i), "^")) {
        if (diff) {
          *diff = absl::StrCat(diff_preamble, " mismatch for node ", a.name(),
                               " input ", i, ", expected control input ",

#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/base/thread_annotations.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/container/inlined_vector.h"
#include "absl/strings/escaping.h"
#include "absl/strings/numbers.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_join.h"
#include "absl/strings/string_view.h"

  string then_branch_host_func_name =
             absl::StrCat("oc_then_branch_host_if_", then_branch.name()),
         else_branch_host_func_name =
             absl::StrCat("oc_else_branch_host_if_", else_branch.name());
  string then_branch_xla_func_name = absl::StrCat(then_branch.name(), "_oc"),
         else_branch_xla_func_name = absl::StrCat(else_branch.name(), "_oc");

#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/base/attributes.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/status/status.h"
#include "absl/strings/cord.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_format.h"
#include "absl/strings/str_join.h"
#include "absl/strings/string_view.h"

                   tensor_interface->ByteSize()))) {
      return InvalidArgument(
          "Malformed TF_RESOURCE tensor: unable to parse resource handle");
    }
    return absl::OkStatus();
  }
  return absl::OkStatus();
}

static bool TF_Run_Inputs(TF_Tensor* const* c_inputs,
                          std::vector<std::pair<string, Tensor>>* input_pairs,
                          TF_Status* status) {

  // Refer to the implementation in
  // tensorflow/lite/kernels/range.cc.
  return std::is_integral<FloatOrInt>::value
             ? ((std::abs(limit - start) + std::abs(delta) - 1) /
                std::abs(delta))
             : std::ceil(std::abs((limit - start) / delta));
}

// Builds a constant range tensor of `result_elem_type` elements.
// Template parameter `FloatOrIntAtrr` must be mlir::IntegerAttr or

#include <iterator>
#include <memory>
#include <optional>
#include <queue>
#include <stack>
#include <string>
#include <utility>
#include <vector>

#include "absl/container/flat_hash_set.h"
#include "absl/log/log.h"
#include "absl/status/status.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/Hashing.h"
#include "llvm/ADT/PointerUnion.h"

  // TODO(b/229028654) Remove string conversion once implicit conversion between
  // llvm::StringRef and absl::string_view works.
  absl::string_view device_str(device_attr.data(), device_attr.size());
  // Concatenate full device string and device ordinal.
  return absl::StrCat(device_str, ":", device_ordinal_str);
}

std::optional<std::string>

cument,pt,function(t){if(i&&i(),ne(t)){var s=re(t),a="tagName"in t.target?t.target:t.target.parentNode;i=Gt(document,mt+" "+bt,function(t){var e=re(t),r=e.x,o=e.y;(a&&r&&100<Math.abs(s.x-r)||o&&100<Math.abs(s.y-o))&&setTimeout(function(){var t,e,i,n;Kt(a,"swipe"),Kt(a,"swipe"+(t=s.x,e=s.y,i=r,n=o,Math.abs(t-i)>=Math.abs(e-n)?0<t-i?"Left":"Right":0<e-n?"Up":"Down"))})}),"touchstart"==pt&&(Ve(document.body,"cursor","pointer"),Gt(document,mt+" "+bt,function(){return setTimeout(function(){return Ve(...

	// UMULH <Xd>, <Xn>, <Xm>
	{0xffe08000, 0x9bc00000, UMULH, instArgs{arg_Xd, arg_Xn, arg_Xm}, nil},
	// ABS <V><d>, <V><n>
	{0xff3ffc00, 0x5e20b800, ABS, instArgs{arg_Vd_22_2__D_3, arg_Vn_22_2__D_3}, nil},
	// ABS <Vd>.<t>, <Vn>.<t>