      const code = Array.isArray(children) ? children.join('') : children || ''
      const [rawText, meta] = code.split(/(?= \(.+\)$)/)
      const rawStr = rawText.replace('.', TMP_DOT)
      const rawHtml = lang === 'none' || !code ? code : highlightCode(lang, rawStr)
      const html = rawHtml.replace(TMP_DOT, '.').replace(/\n/g, ' ')
      const result = htmlToReact(html)
      const elements = Array.isArray(result) ? result : [result]
      const annotClassNames = classNames(
          'type-annotation',
          `language-${lang}`,
 
</s> remove     model_path = ensure_path(path)
    if not model_path.exists():
        raise IOError(Errors.E052.format(path=model_path))
    meta_path = model_path / "meta.json"
    if not meta_path.is_file():
        raise IOError(Errors.E053.format(path=meta_path, name="meta.json"))
    meta = srsly.read_json(meta_path)
 </s> add     path = ensure_path(path)
    if not path.parent.exists():
        raise IOError(Errors.E052.format(path=path.parent))
    if not path.exists() or not path.is_file():
        raise IOError(Errors.E053.format(path=path, name="meta.json"))
    meta = srsly.read_json(path) </s> remove     """Load a model from an installed package."""
 </s> add     """Load a model from an installed package.

    name (str): The package name.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Iterable[str]): Names of pipeline components to disable.
    config (Dict[str, Any] / Config): Config overrides as nested dict or dict
        keyed by section values in dot notation.
    RETURNS (Language): The loaded nlp object.
    """ </s> remove     pipeline from config.cfg and then calls from_disk() with path."""
 </s> add     pipeline from config.cfg and then calls from_disk() with path.

    name (str): Package name or model path.
    meta (Dict[str, Any]): Optional model meta.
    vocab (Vocab / True): Optional vocab to pass in on initialization. If True,
        a new Vocab object will be created.
    disable (Iterable[str]): Names of pipeline components to disable.
    config (Dict[str, Any] / Config): Config overrides as nested dict or dict
        keyed by section values in dot notation.
    RETURNS (Language): The loaded nlp object.
    """ </s> remove     """Load a config file. Takes care of path validation and section order."""
 </s> add     """Load a config file. Takes care of path validation and section order.

    path (Union[str, Path]): Path to the config file.
    overrides: (Dict[str, Any]): Config overrides as nested dict or
        dict keyed by section values in dot notation.
    interpolate (bool): Whether to interpolate and resolve variables.
    RETURNS (Config): The loaded config.
    """
    const html = rawHtml.replace(new RegExp(TMP_DOT, 'g'), '.').replace(/\n/g, ' ')
      const code = Array.isArray(children) ? children.join('') : children || ''
      const [rawText, meta] = code.split(/(?= \(.+\)$)/)
      const rawStr = rawText.replace('.', TMP_DOT)
      const rawHtml = lang === 'none' || !code ? code : highlightCode(lang, rawStr)
    const html = rawHtml.replace(new RegExp(TMP_DOT, 'g'), '.').replace(/\n/g, ' ')
      const result = htmlToReact(html)
      const elements = Array.isArray(result) ? result : [result]
      const annotClassNames = classNames(
          'type-annotation',
          `language-${lang}`,
keep keep keep keep replace keep keep keep keep keep
 Update docs and util consistency 
website/src/components/code.js