Improve his shining tail,
            And pour the waters of the Nile
              On every golden scale!

            `How cheerfully he seems to grin,
              How neatly spread his claws,
            And welcome little fishes in
              With gently smiling jaws!'

  `I'm sure those are not the right words,' said poor Alice, and

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

              Improve his shining tail,
            And pour the waters of the Nile
              On every golden scale!

            `How cheerfully he seems to grin,
              How neatly spread his claws,
            And welcome little fishes in
              With gently smiling jaws!'

  `I'm sure those are not the right words,' said poor Alice, and

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

el.nodeName.toLowerCase()\n\n    if (whitelistKeys.indexOf(el.nodeName.toLowerCase()) === -1) {\n      el.parentNode.removeChild(el)\n\n      continue\n    }\n\n    const attributeList = [].slice.call(el.attributes)\n    // eslint-disable-next-line unicorn/prefer-spread\n    const whitelistedAttributes = [].concat(whiteList['*'] || [], whiteList[elName] || [])\n\n    attributeList.forEach(attr => {\n      if (!allowedAttribute(attr, whitelistedAttributes)) {\n        el.removeAttribute(attr.nodeName)\n      }\n ...