return (floorEntry != null && floorEntry.getValue().encloses(range))
        ? floorEntry.getValue()
        : null;
  }

  @Override
  public Range<C> span() {
    Entry<Cut<C>, Range<C>> firstEntry = rangesByLowerBound.firstEntry();
    Entry<Cut<C>, Range<C>> lastEntry = rangesByLowerBound.lastEntry();
    if (firstEntry == null || lastEntry == null) {
      /*

              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;
      status->status = custom_device_handle->device()->Pack(
          absl::Span<tensorflow::ImmediateExecutionTensorHandle*>(
              tensorflow::unwrap(handles), *num_handles),
          &result);
      return tensorflow::wrap(result);
    }
    tensor_handles.push_back(

is the name <code>foo</code> as an address in memory.
This form is used to name global functions and data.
Adding <code>&lt;&gt;</code> to the name, as in <span style="white-space: nowrap"><code>foo&lt;&gt;(SB)</code></span>, makes the name
visible only in the current source file, like a top-level <code>static</code> declaration in a C file.
Adding an offset to the name refers to that offset from the symbol's address, so

        retvals[i] = tensorflow::unwrap(outputs[i]);
        retvals[i]->Ref();
        TFE_DeleteTensorHandle(outputs[i]);
      }
    }
    return status.status;
  }

  absl::Status Pack(absl::Span<ImmediateExecutionTensorHandle*> handles,
                    ImmediateExecutionTensorHandle** result) override {
    TF_Status status;
    *result = tensorflow::unwrap(device_.pack(context_,

content: '.card-body',\n  loadInContent: true,\n  loadOnInit: true,\n  loadErrorTemplate: true,\n  responseType: '',\n  overlayTemplate: '<div class=\"overlay\"><i class=\"fas fa-2x fa-sync-alt fa-spin\"></i></div>',\n  errorTemplate: '<span class=\"text-danger\"></span>',\n  onLoadStart() {},\n  onLoadDone(response) {\n    return response\n  },\n  onLoadFail(_jqXHR, _textStatus, _errorThrown) {}\n}\n\nclass CardRefresh {\n  constructor(element, settings) {\n    this._element = element\n    this._parent...

void TF_SetAttrShape(TF_OperationDescription* desc, const char* attr_name,
                     const int64_t* dims, int num_dims) {
  PartialTensorShape shape;
  if (num_dims >= 0) {
    shape = PartialTensorShape(absl::Span<const int64_t>(
        reinterpret_cast<const int64_t*>(dims), num_dims));
  }
  desc->node_builder.Attr(attr_name, shape);
}

void TF_SetAttrShapeList(TF_OperationDescription* desc, const char* attr_name,

aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a
service will be automatically spread across zones, enabling applications to
tolerate zone failure.
     * Simplified way to run a container on every node (DaemonSet API (Beta) in the

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)[\\s\\S]+?</\\1> *(?:\\n{2,}|\\s*$)|<tag(?:"[^"]*"|'[^']*'|\\s[^'"/>\\s]*)*?/?> *(?:\\n{2,}|\\s*$))`).replace("comment",U).replace(/tag/g,"(?!(?:a|em|strong|small|s|cite|q|dfn|abbr|data|time|code|var|samp|kbd|sub|sup|i|b|u|mark|ruby|rt|rp|bdi|bdo|span|br|wbr|ins|del|img)\\b)\\w+(?!:|[^\\w\\s@]*@)\\b").getRegex(),def:/^ *\[([^\]]+)\]: *<?([^\s>]+)>?(?: +(["(][^\n]+[")]))? *(?:\n+|$)/,heading:/^(#{1,6})(.*)(?:\n+|$)/,fences:L,lheading:/^(.+?)\n {0,3}(=+|-+) *(?:\n+|$)/,paragraph:k(j).replace("hr"...

Ryan M. Lefever, Sachin M, Sagun Bajra, Sai Ganesh Muthuraman, Saksham Singh Rathore, Sannidhya Chauhan, Sayan Saha, Sean Talts, Seher Ellis, Sergei Lebedev, Sergey Kozub, Sevin Fide Varoglu, Shahriar Rouf, Shanbin Ke, Shaogang Wang, Sharad Vikram, Shawn Lu, Siddhartha Menon, Siqiao Wu, skill, Smit Hinsu, snadampal, Sohaib Iftikhar, Soowon Jeong, spiao, Srijan Upadhyay, stevemcgregory, Subham Soni, Subhankar Shah, Swachhand Lokhande, Tai Ly, TensorFlower Gardener, Terry Heo, Terry Sun, Terry Tao, Theotime...