<< absl::StrJoin(vexcludelist, " ");
  }
  return excludelist;
}

absl::flat_hash_set<string> GetOrCreateAllowlist() {
  absl::flat_hash_map<string, std::vector<string>>* allowlist_table =
      tensorflow::GetAllowlistTable();
  MarkForCompilationPassFlags* flags = GetMarkForCompilationPassFlags();
  absl::flat_hash_set<string> allowlist;

        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/base",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/container:inlined_vector",
        "@com_google_absl//absl/memory",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/types:optional",

#include <functional>
#include <memory>
#include <numeric>
#include <string>
#include <vector>

#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "absl/types/optional.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/mark_for_compilation_pass.h"

        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/base:core_headers",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/strings:cord",
        "@com_google_absl//absl/strings:str_format",

#include <memory>
#include <optional>
#include <string>
#include <utility>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/strings/str_format.h"
#include "absl/strings/str_join.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/Sequence.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/Twine.h"

	// +3     +2      +1        0        -1     -2       -3
	// the offset to Thursday
	abs := t.abs()
	d := Thursday - absWeekday(abs)
	// handle Sunday
	if d == 4 {
		d = -3
	}
	// find the Thursday of the calendar week
	abs += uint64(d) * secondsPerDay
	year, _, _, yday := absDate(abs, false)
	return year, yday/7 + 1
}

  for (int i : {0, 1}) {
    Output init_enter = ops::internal::Enter(
        root.WithOpName(absl::StrCat("init_enter_frame_", i)), init,
        absl::StrCat("frame_", i),
        ops::internal::Enter::Attrs().IsConstant(true));
    Output step_enter = ops::internal::Enter(
        root.WithOpName(absl::StrCat("step_enter_frame_", i)), step,
        absl::StrCat("frame_", i),
        ops::internal::Enter::Attrs().IsConstant(true));

	"fmt"
	"internal/testenv"
	"math"
	"math/rand"
	"strconv"
	"strings"
	"testing"
	"testing/quick"
)

func isNormalized(x *Int) bool {
	if len(x.abs) == 0 {
		return !x.neg
	}
	// len(x.abs) > 0
	return x.abs[len(x.abs)-1] != 0
}

type funZZ func(z, x, y *Int) *Int
type argZZ struct {
	z, x, y *Int
}

var sumZZ = []argZZ{
	{NewInt(0), NewInt(0), NewInt(0)},

    //
    // We don't have a frac(x) primitive in XLA and computing it is tricky, but
    // because abs(sin(pi * x)) = abs(sin(pi * abs(x))), it's good enough for
    // our purposes to use abs(frac(x)) = abs(x) - floor(abs(x)).
    //
    // Furthermore, pi * abs(frac(x)) loses precision when abs(frac(x)) is close
    // to 1.  To remedy this, we can use the fact that sin(pi * x) in the domain

    const bool allow_float, const std::unordered_set<string>& operator_names,
    const TensorType& activations_type, std::string& output_buffer,
    const bool disable_per_channel = false,
    const absl::flat_hash_set<std::string>& blocked_ops = {},
    const absl::flat_hash_set<std::string>& blocked_nodes = {},
    const bool disable_per_channel_for_dense_layers = false) {
  TensorType inference_tensor_type = activations_type;