}

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,
      const absl::optional<std::vector<int64_t>>& expected_shape) {
    // Create input_shapes.
    TF_ShapeAndTypeList* input_shapes =

    const val BUILD_RC_NUMBER = "rcNumber"
    const val BUILD_TIMESTAMP = "buildTimestamp"
    const val BUILD_VCS_NUMBER = "BUILD_VCS_NUMBER"
    const val BUILD_VERSION_QUALIFIER = "versionQualifier"
    const val CI_ENVIRONMENT_VARIABLE = "CI"
    const val DEFAULT_RFN_PERFORMANCE_BASELINES = "defaultRfnPerformanceBaselines"
    const val DEFAULT_RFR_PERFORMANCE_BASELINES = "defaultRfrPerformanceBaselines"

                          const char* name) {
  unique_tensor_ptr tensor(BoolTensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

TF_Operation* ScalarConst(int32_t v, TF_Graph* graph, TF_Status* s,
                          const char* name) {
  unique_tensor_ptr tensor(Int32Tensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

 */

package promotion

import common.VersionedSettingsBranch
import jetbrains.buildServer.configs.kotlin.ParameterDisplay

const val FINAL_RELEASE_BUILD_CONFIGURATION_ID = "Promotion_FinalRelease"
const val RELEASE_CANDIDATE_BUILD_CONFIGURATION_ID = "Promotion_ReleaseCandidate"
const val MILESTONE_BUILD_CONFIGURATION_ID = "Promotion_Milestone"

abstract class PublishRelease(
    prepTask: String,
    promoteTask: String,

	// Multiple HTTP request handlers updating stats concurrently,
	// while background processes are reading the stats for persistence.
	const numWriters = 100 // Simulate many HTTP request handlers.
	const numReaders = 50  // Simulate background stats readers.
	const opsPerGoroutine = 100

	var wg sync.WaitGroup
	for i := range numWriters {
		wg.Add(1)
		go func(writerID int) {
			defer wg.Done()

pkg go/types, const FieldVar = 6 #70250
pkg go/types, const FieldVar VarKind #70250
pkg go/types, const LocalVar = 2 #70250
pkg go/types, const LocalVar VarKind #70250
pkg go/types, const PackageVar = 1 #70250
pkg go/types, const PackageVar VarKind #70250
pkg go/types, const ParamVar = 4 #70250
pkg go/types, const ParamVar VarKind #70250
pkg go/types, const RecvVar = 3 #70250

pkg debug/elf, const R_LARCH_CFA R_LARCH #63725
pkg debug/elf, const R_LARCH_DELETE = 101 #63725
pkg debug/elf, const R_LARCH_DELETE R_LARCH #63725
pkg debug/elf, const R_LARCH_PCREL20_S2 = 103 #63725
pkg debug/elf, const R_LARCH_PCREL20_S2 R_LARCH #63725
pkg debug/elf, const R_LARCH_SUB6 = 106 #63725
pkg debug/elf, const R_LARCH_SUB6 R_LARCH #63725
pkg debug/elf, const R_LARCH_SUB_ULEB128 = 108 #63725

import org.jetbrains.gradle.ext.RunConfigurationContainer

plugins {
    id("org.jetbrains.gradle.plugin.idea-ext")
}

object GradleCopyright {
    const val profileName = "ASL2"
    const val keyword = "Copyright"
    const val notice =
        """Copyright ${"$"}{today.year} the original author or authors.

Licensed under the Apache License, Version 2.0 (the "License");

	V2     = ptwo.G()
)

// Variables with conversions:
var (
	StrConv  = string("foo")
	ByteConv = []byte("foo")
)

var ChecksumError = ptwo.NewError("gzip checksum error")

const B0 = 2
const StrConst = "foo"
const FloatConst = 1.5

type myInt int

type MyInt int

type Time struct{}

type S struct {
	// Deprecated: use PublicTime.
	Public     *int
	private    *int
	PublicTime Time
}

class CheckpointReader {
 public:
  CheckpointReader(const string& filename, TF_Status* status);

  bool HasTensor(const string& name) const;
  const string DebugString() const;

  // Returns a map from variable names to their shapes.  Slices of a partitioned
  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;