type SockaddrInet6 struct {
	Port   int
	ZoneId uint32
	Addr   [16]byte
	raw    RawSockaddrInet6
}

// SockaddrUnix implements the Sockaddr interface for AF_UNIX type sockets.
type SockaddrUnix struct {
	Name string
	raw  RawSockaddrUnix
}

func Bind(fd int, sa Sockaddr) (err error) {
	ptr, n, err := sa.sockaddr()
	if err != nil {

	if e1 != 0 {
		err = errnoErr(e1)
	}
	return
}

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

func Waitid(idType int, id int, info *Siginfo, options int, rusage *Rusage) (err error) {
	_, _, e1 := Syscall6(SYS_WAITID, uintptr(idType), uintptr(id), uintptr(unsafe.Pointer(info)), uintptr(options), uintptr(unsafe.Pointer(rusage)), 0)
	if e1 != 0 {
		err = errnoErr(e1)
	}
	return
}

//
// Keep the type:. prefix, which parts of the linker (like the
// DWARF generator) know means the symbol is not decodable.
// Leave type:runtime. symbols alone, because other parts of
// the linker manipulates them.
func typeSymbolMangle(name string) string {
	isType := strings.HasPrefix(name, "type:")
	if !isType && !strings.Contains(name, "@") {

    save.save(
        model,
        self._input_saved_model_path,
        signatures=model.matmul.get_concrete_function(
            tensor_spec.TensorSpec(
                shape=input_shape, dtype=dtypes.float32, name='input_tensor'
            )
        ),
    )

    def data_gen() -> repr_dataset.RepresentativeDataset:
      for _ in range(50):

// Test cluster with bad `num_cores_per_replica` attribute.
!rtype = tensor<!tf_type.resource<tensor<10x3xf32>>>
func.func @replication_with_model_parallelism(%arg0: !rtype, %arg1: !rtype, %arg2: !rtype, %arg3: !rtype) -> (tensor<10x3xf32>) {
  %2 = "tf.TPUReplicatedInput"(%arg0, %arg2) : (!rtype, !rtype) -> !rtype
  %3 = "tf.TPUReplicatedInput"(%arg1, %arg3) : (!rtype, !rtype) -> !rtype

		err = errnoErr2(e1, e2)
	}
	return
}

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

func waitid(idType int, id int, info *Siginfo, options int) (err error) {
	runtime.EnterSyscall()
	r0, e2, e1 := CallLeFuncWithErr(GetZosLibVec()+SYS_WAITID<<4, uintptr(idType), uintptr(id), uintptr(unsafe.Pointer(info)), uintptr(options))
	runtime.ExitSyscall()
	if int64(r0) == -1 {
		err = errnoErr2(e1, e2)
	}

#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.
// DataType value of DT_INVALID signifies that we don't want to
// check the data type.
typedef std::pair<string, DataType> IOSpec;

const char* kFeedStackToString = "File \"feed.cc\", line 10, in alpha";

static const char id[] = "\n@(#)$Id: testregex (AT&T Research) 2010-06-10 $\0\n";

#if _PACKAGE_ast
#include <ast.h>
#else
#include <sys/types.h>
#endif

#include <stdio.h>
#include <regex.h>
#include <ctype.h>
#include <setjmp.h>
#include <signal.h>
#include <string.h>
#include <unistd.h>

#ifdef	__STDC__
#include <stdlib.h>
#include <locale.h>
#endif

#ifndef RE_DUP_MAX
#define RE_DUP_MAX	32767

    if attr_val.HasField('s'):
      return '"{}"'.format(attr_val.s.decode())
    # type
    if attr_val.HasField('type'):
      if attr_val.type == types_pb2.DT_FLOAT:
        return 'f32'
      elif attr_val.type == types_pb2.DT_INT32:
        return 'i32'
      elif attr_val.type == types_pb2.DT_INT64:
        return 'i64'
      elif attr_val.type == types_pb2.DT_BOOL:
        return 'i1'
    # list

}

// demangleType parses:
//
//	<type> ::= <builtin-type>
//	       ::= <function-type>
//	       ::= <class-enum-type>
//	       ::= <array-type>
//	       ::= <pointer-to-member-type>
//	       ::= <template-param>
//	       ::= <template-template-param> <template-args>
//	       ::= <substitution>
//	       ::= <CV-qualifiers> <type>
//	       ::= P <type>
//	       ::= R <type>