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

  ([#33684](https://github.com/kubernetes/kubernetes/pull/33684),
  [@fraenkel](https://github.com/fraenkel))
* Flag gate faster evictions based on node memory pressure using kernel memcg
  notifications - `--experimental-kernel-memcg-notification`.
  ([#38258](https://github.com/kubernetes/kubernetes/pull/38258),
  [@derekwaynecarr](https://github.com/derekwaynecarr))

- Kubelet's deprecated `--experimental-kernel-memcg-notification` flag is now removed.  Use `--kernel-memcg-notification` instead. ([#109388](https://github.com/kubernetes/kubernetes/pull/109388), [@ialidzhikov](https://github.com/ialidzhikov))

  - [alpha] Kubelet launches container in a per pod cgroup hierarchy based on quality of service tier ([kubernetes/features#126](https://github.com/kubernetes/enhancements/issues/126))
  - [beta] Kubelet integrates with memcg notification API to detect when a hard eviction threshold is crossed ([kubernetes/features#125](https://github.com/kubernetes/enhancements/issues/125))

d,\d+/],["HHmmss",/\d\d\d\d\d\d/],["HHmm",/\d\d\d\d/],["HH",/\d\d/]],ya=/^\/?Date\((-?\d+)/i,fa=/^(?:(Mon|Tue|Wed|Thu|Fri|Sat|Sun),?\s)?(\d{1,2})\s(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\s(\d{2,4})\s(\d\d):(\d\d)(?::(\d\d))?\s(?:(UT|GMT|[ECMP][SD]T)|([Zz])|([+-]\d{4}))$/,pa={UT:0,GMT:0,EDT:-240,EST:-300,CDT:-300,CST:-360,MDT:-360,MST:-420,PDT:-420,PST:-480};function ka(e){var a,t,s,n,r,d,i=e._i,_=Ma.exec(i)||ha.exec(i);if(_){for(L(e).iso=!0,a=0,t=La.length;a<t;a++)if(La[a][1].exec(_[1]...

- The Kubelet's `--kernel-memcg-notification` option is now available via the Kubelet config file field kernelMemcgNotification ([#91863](https://github.com/kubernetes/kubernetes/pull/91863), [@knabben](https://github.com/knabben)) [SIG Cloud Provider, Node and Testing]