<?xml version="1.0" encoding="UTF-8"?>

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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
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with the License.  You may obtain a copy of the License at

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stands for one item (parameter or result) of the specified type and
all non-<a href="#Blank_identifier">blank</a> names in the signature
must be <a href="#Uniqueness_of_identifiers">unique</a>.
If absent, each type stands for one item of that type.
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one unnamed result it may be written as an unparenthesized type.

     provided that You also comply with the requirements of this License for the
     Covered Software. If the Larger Work is a combination of Covered Software
     with a work governed by one or more Secondary Licenses, and the Covered
     Software is not Incompatible With Secondary Licenses, this License permits
     You to additionally distribute such Covered Software under the terms of

                if ( ( getContext().getConfig().getCapabilities() & SmbConstants.CAP_NT_SMBS ) == 0 ) {
                    // only have second precision
                    // there seems to be some random factor (adding one second)
                    int diff = Math.abs((int) ( ( time / 1000 ) - ( f.lastModified() / 1000 ) ));
                    Assert.assertTrue("Have set time correctly", diff < 2);
                }
                else {

     */
    @CanIgnoreReturnValue
    public Builder<N> addNode(N node) {
      mutableGraph.addNode(node);
      return this;
    }

    /**
     * Adds an edge connecting {@code nodeU} to {@code nodeV} if one is not already present.
     *
     * <p>If the graph is directed, the resultant edge will be directed; otherwise, it will be
     * undirected.
     *

		} else {
			// not collecting per-cpu stats, so there will be only one element
			if len(cm) == 1 {
				m.Aggregated.CPU.TimesStat = &cm[0]
			} else {
				m.Errors = append(m.Errors, fmt.Sprintf("%s: Expected one CPU stat, got %d", byHostName, len(cm)))
			}
		}
		cpuCount, err := c.Counts(true)
		if err != nil {

	closing int32
	wg      sync.WaitGroup
}

func newMRFState() mrfState {
	return mrfState{
		opCh: make(chan PartialOperation, mrfOpsQueueSize),
	}
}

// Add a partial S3 operation (put/delete) when one or more disks are offline.
func (m *mrfState) addPartialOp(op PartialOperation) {
	if m == nil {
		return
	}

	if atomic.LoadInt32(&m.closed) == 1 {
		return
	}

	m.wg.Add(1)
	defer m.wg.Done()

  // watched inputs.
  void Watch(const AbstractTensorHandle*);
  // Records an operation with given inputs and outputs
  // on the tape and marks all its outputs as watched if at
  // least one input of the op is watched and has a trainable dtype.
  // op_name is optional and is used for debugging only.
  void RecordOperation(absl::Span<AbstractTensorHandle* const> inputs,

  // Other drivers can leave pod info disabled and/or ignore this field.
  // As Kubernetes 1.15 doesn't support this field, drivers can only support one mode when
  // deployed on such a cluster and the deployment determines which mode that is, for example
  // via a command line parameter of the driver.
  //
  // This field is immutable.
  //
  // +optional