TF_Buffer* value = TF_NewBuffer();
  TF_OperationGetAttrTensorShapeProto(oper, "v", value, s_);
  EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_EQ(bytes.length(), value->length);
  EXPECT_EQ(0, memcmp(bytes.data(), value->data, value->length));
  TF_DeleteBuffer(value);
}

TEST_F(CApiAttributesTest, TensorShapeProtoList) {
  string bytes1, bytes2;
  tensorflow::TensorShapeProto proto;

-      && (__s1_len = strlen (s1), __s2_len = strlen (s2),		      \
-	  (!__string2_1bptr_p (s1) || __s1_len >= 4)			      \
-	  && (!__string2_1bptr_p (s2) || __s2_len >= 4))		      \
-      ? memcmp ((const char *) (s1), (const char *) (s2),		      \
-		(__s1_len < __s2_len ? __s1_len : __s2_len) + 1)	      \
-      : (__builtin_constant_p (s1) && __string2_1bptr_p (s1)		      \

  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

        final boolean unicode = getFlag(NTLMSSP_NEGOTIATE_UNICODE);
        final String oemCp = unicode ? null : getOEMEncoding();

        final String domainName = getDomain();
        byte[] domainBytes = null;
        if (domainName != null && domainName.length() != 0) {
            domainBytes = unicode ? domainName.getBytes(UNI_ENCODING) : domainName.getBytes(oemCp);
            size += domainBytes.length;
        }

  status->status = s->session->PRunSetup(input_names, output_names,
                                         target_oper_names, &new_handle);
  if (status->status.ok()) {
    char* buf = new char[new_handle.size() + 1];
    memcpy(buf, new_handle.c_str(), new_handle.size() + 1);
    *handle = buf;
  }
}

void TF_PRun(TF_DeprecatedSession* s, const char* handle,
             // Input tensors

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