var (
	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")
	memUsedMD      = NewGaugeMD(memUsed, "Used memory on the node")
	memUsedPercMD  = NewGaugeMD(memUsedPerc, "Used memory percentage on the node")
	memFreeMD      = NewGaugeMD(memFree, "Free memory on the node")
	memBuffersMD   = NewGaugeMD(memBuffers, "Buffers memory on the node")
	memCacheMD     = NewGaugeMD(memCache, "Cache memory on the node")

    if (file != null) {
      return new FileInputStream(file);
    } else {
      // requireNonNull is safe because we always have either `file` or `memory`.
      requireNonNull(memory);
      return new ByteArrayInputStream(memory.getBuffer(), 0, memory.getCount());
    }
  }

  /**
   * Calls {@link #close} if not already closed, and then resets this object back to its initial

  ops->read_only_memory_region_ops = static_cast<TF_ReadOnlyMemoryRegionOps*>(
      plugin_memory_allocate(TF_READ_ONLY_MEMORY_REGION_OPS_SIZE));
  ops->read_only_memory_region_ops->cleanup =
      tf_read_only_memory_region::Cleanup;
  ops->read_only_memory_region_ops->data = tf_read_only_memory_region::Data;
  ops->read_only_memory_region_ops->length = tf_read_only_memory_region::Length;

    info->plugin_memory_free(info->ops[i].scheme);
    info->plugin_memory_free(info->ops[i].filesystem_ops);
    info->plugin_memory_free(info->ops[i].random_access_file_ops);
    info->plugin_memory_free(info->ops[i].writable_file_ops);
    info->plugin_memory_free(info->ops[i].read_only_memory_region_ops);
  }
  info->plugin_memory_free(info->ops);
  return status;
}

global:
  proxy:
    resources:
      requests:
        cpu: 10m
        memory: 40Mi

pilot:
  autoscaleEnabled: false
  traceSampling: 100
  resources:
    requests:
      cpu: 10m
      memory: 100Mi

gateways:
  istio-egressgateway:
    autoscaleEnabled: false
    resources:
      requests:
        cpu: 10m
        memory: 40Mi
  istio-ingressgateway:
    autoscaleEnabled: false
    ports:

global:
  proxy:
    resources:
      requests:
        cpu: 10m
        memory: 40Mi

pilot:
  autoscaleEnabled: false
  traceSampling: 100
  resources:
    requests:
      cpu: 10m
      memory: 100Mi

gateways:
  istio-egressgateway:
    autoscaleEnabled: false
    resources:
      requests:
        cpu: 10m
        memory: 40Mi
  istio-ingressgateway:
    autoscaleEnabled: false
    ports:

  ops->scheme = strdup(uri);
}

void TF_InitPlugin(TF_FilesystemPluginInfo* info) {
  info->plugin_memory_allocate = plugin_memory_allocate;
  info->plugin_memory_free = plugin_memory_free;
  info->num_schemes = 2;
  info->ops = static_cast<TF_FilesystemPluginOps*>(
      plugin_memory_allocate(info->num_schemes * sizeof(info->ops[0])));
  ProvideFilesystemSupportFor(&info->ops[0], "");

        type: Utilization
        averageUtilization: {{ .Values.pilot.cpu.targetAverageUtilization }}
  {{- if .Values.pilot.memory.targetAverageUtilization }}
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: {{ .Values.pilot.memory.targetAverageUtilization }}
  {{- end }}
  {{- if .Values.pilot.autoscaleBehavior }}

<p>
Go approaches its memory model in much the same way as the rest of the language,
aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as

This functionality in this package is mostly captured in the Arena type.
Arenas allocate large chunks of memory for Go values, so they're likely to
be inefficient for allocating only small amounts of small Go values. They're
best used in bulk, on the order of MiB of memory allocated on each use.

Note that by allowing for this limited form of manual memory allocation
that use-after-free bugs are possible with regular Go values. This package