[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;

  // For LLVM style RTTI.
  static bool classof(const AbstractContext* ptr) {
    return ptr->getKind() == kGraph || ptr->getKind() == kMlir;
  }
};

typedef TracingContext* (*FactoryFunction)(const char* fn_name, TF_Status*);
absl::Status SetDefaultTracingEngine(const char* name);
void RegisterTracingEngineFactory(const ::tensorflow::string& name,
                                  FactoryFunction factory);

        << "Mismatch in expected values at (zero-based) index " << i;
  }
}

void CheckRemoteMatMulExecutesOK(TFE_Context* ctx,
                                 const char* remote_device_name,
                                 const char* local_device_name) {
  TF_Status* status = TF_NewStatus();
  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);

  TFE_Op* matmul = MatMulOp(ctx, h0_task0, h0_task0);

  // Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.
  virtual const char* BackingDeviceName(absl::Status* status) const = 0;
  // Returns the device type which created the handle.
  virtual const char* DeviceType(absl::Status* status) const = 0;

    // Special header names defined in HTTP/2 spec.
    @JvmField val PSEUDO_PREFIX: ByteString = ":".encodeUtf8()

    const val RESPONSE_STATUS_UTF8 = ":status"
    const val TARGET_METHOD_UTF8 = ":method"
    const val TARGET_PATH_UTF8 = ":path"
    const val TARGET_SCHEME_UTF8 = ":scheme"
    const val TARGET_AUTHORITY_UTF8 = ":authority"

    @JvmField val RESPONSE_STATUS: ByteString = RESPONSE_STATUS_UTF8.encodeUtf8()

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

     */
    async progress(line) {
        const progressLength = line.getAttribute(`${this.pfx}-progressLength`)
            || this.progressLength;
        const progressChar = line.getAttribute(`${this.pfx}-progressChar`)
            || this.progressChar;
        const chars = progressChar.repeat(progressLength);
		const progressPercent = line.getAttribute(`${this.pfx}-progressPercent`)

pkg testing, type InternalFuzzTarget struct, Fn func(*F)
pkg testing, type InternalFuzzTarget struct, Name string
pkg text/template/parse, const NodeBreak = 21
pkg text/template/parse, const NodeBreak NodeType
pkg text/template/parse, const NodeContinue = 22
pkg text/template/parse, const NodeContinue NodeType
pkg text/template/parse, method (*BreakNode) Copy() Node
pkg text/template/parse, method (*BreakNode) String() string

  AbstractOpAttrsKind getKind() const { return kind_; }
  virtual ~AbstractOpAttrs() = default;

  // Returns the AbstractFunction as a FunctionDef.
  virtual void GetNameAttrList(
      tensorflow::NameAttrList* name_and_attrs) const = 0;

  virtual bool GetInt(absl::string_view, int64_t* result) const = 0;
  virtual bool GetFloat(absl::string_view attr_name, float* result) const = 0;