}

  @Benchmark
  int collections(int reps) {
    int dummy = 0;
    // Yes, this could be done more elegantly
    if (mutable) {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);
        Collections.sort(copy);
        dummy += copy.get(0);
      }
    } else {
      for (int i = 0; i < reps; i++) {
        List<Integer> copy = new ArrayList<>(input);

        "tools/op_quant_spec_getters_gen.cc",
    ],
    deps = [
        "@llvm-project//llvm:Support",
        "@llvm-project//llvm:TableGen",
        "@llvm-project//mlir:TableGen",
    ],
)

tf_native_cc_binary(
    name = "tflite_op_coverage_spec_getters_gen",
    srcs = [
        "tools/tflite_op_coverage_spec_getters_gen.cc",
    ],
    deps = [
        "@com_google_absl//absl/strings",

    ],
    licenses = ["notice"],
)

cc_library(
    name = "restore_ops",
    srcs = [
        "restore_ops.cc",
    ],
    hdrs = [
        "restore_ops.h",
    ],
    deps = [
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c/eager:abstract_tensor_handle",
        "//tensorflow/c/eager:immediate_execution_context",
        "//tensorflow/c/eager:immediate_execution_operation",

    }
  }

  @Benchmark
  long log2(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += Double.doubleToRawLongBits(DoubleMath.log2(positiveDoubles[j]));
    }
    return tmp;
  }

  @Benchmark
  long factorial(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

      longs[i] = RANDOM_SOURCE.nextLong();
    }
  }

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.log2(positive[j], mode);
    }
    return tmp;
  }

  @Benchmark
  int log10(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.log10(positive[j], mode);

  RoundingMode mode;

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.log2(positive[j], mode);
    }
    return tmp;
  }

  @Benchmark
  int log10(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.log10(positive[j], mode);

! stdout ^error
stdout 'incomplete'
stdout 'bad dep: .*example.com[/\\]notfound'

# Listing with -deps should also fail.
! go list -deps example.com/direct
stderr example.com[/\\]notfound

# But -e -deps should succeed.
go list -e -deps example.com/direct
stdout example.com/notfound


# Listing an otherwise-valid package that imports some *other* package with an

    hdrs = ["op_or_arg_name_mapper.h"],
    deps = [
        "//tensorflow/compiler/mlir/utils:name_utils",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "tf_mlir_opt_main",
    testonly = True,
    srcs = ["tf_mlir_opt_main.cc"],
    deps = [
        ":init_mlir",
        ":passes",

    ],
    licenses = ["notice"],
)

cc_library(
    name = "mlir_dump",
    srcs = ["mlir_dump.cc"],
    hdrs = ["mlir_dump.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/memory",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/status:statusor",
        "@com_google_absl//absl/strings",

    licenses = ["notice"],
)

cc_library(
    name = "dialect_detection_utils",
    srcs = [
        "dialect_detection_utils.cc",
    ],
    hdrs = [
        "dialect_detection_utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:framework",
        "//tensorflow/core/transforms/toposort:Pass",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",