def _getSmartIndenter(indenterName, qpart, indenter):
    """Get indenter by name.
    Available indenters are none, normal, cstyle, haskell, lilypond, lisp, python, ruby, xml
    Indenter name is not case sensitive
    Raise KeyError if not found
    indentText is indentation, which shall be used. i.e. '\t' for tabs, '    ' for 4 space symbols
    """
    indenterName = indenterName.lower()

    if indenterName in ('haskell', 'lilypond'):  # not supported yet
        logger.warning('Smart indentation for %s not supported yet. But you could be a hero who implemented it' % indenterName)
        from qutepart.indenter.base import IndentAlgNormal as indenterClass
    elif 'none' == indenterName:
        from qutepart.indenter.base import IndentAlgBase as indenterClass
    elif 'normal' == indenterName:
        from qutepart.indenter.base import IndentAlgNormal as indenterClass
    elif 'cstyle' == indenterName:
        from qutepart.indenter.cstyle import IndentAlgCStyle as indenterClass
    elif 'python' == indenterName:
        from qutepart.indenter.python import IndentAlgPython as indenterClass
    elif 'ruby' == indenterName:
        from qutepart.indenter.ruby import IndentAlgRuby as indenterClass
    elif 'xml' == indenterName:
        from qutepart.indenter.xmlindent import IndentAlgXml as indenterClass
    elif 'haskell' == indenterName:
        from qutepart.indenter.haskell import IndenterHaskell as indenterClass
    elif 'lilypond' == indenterName:
        from qutepart.indenter.lilypond import IndenterLilypond as indenterClass
    elif 'lisp' == indenterName:
        from qutepart.indenter.lisp import IndentAlgLisp as indenterClass
    elif 'scheme' == indenterName:
        from qutepart.indenter.scheme import IndentAlgScheme as indenterClass
    else:
        raise KeyError("Indenter %s not found" % indenterName)

    return indenterClass(qpart, indenter)
def _compare_metadata(netcdf_dataset, example_dict):
    """Compares metadata between existing NetCDF file and new batch of examples.

    This method contains a large number of `assert` statements.  If any of the
    `assert` statements fails, this method will error out.

    :param netcdf_dataset: Instance of `netCDF4.Dataset`.
    :param example_dict: See doc for `write_examples_with_3d_radar`.
    :raises: ValueError: if the two sets have different metadata.
    """

    include_soundings = SOUNDING_MATRIX_KEY in example_dict

    orig_example_dict = {
        TARGET_NAMES_KEY: [
            str(s) for s in
            netCDF4.chartostring(netcdf_dataset.variables[TARGET_NAMES_KEY][:])
        ],
        ROTATED_GRIDS_KEY: bool(getattr(netcdf_dataset, ROTATED_GRIDS_KEY)),
        RADAR_FIELDS_KEY: [
            str(s) for s in netCDF4.chartostring(
                netcdf_dataset.variables[RADAR_FIELDS_KEY][:])
        ],
        RADAR_HEIGHTS_KEY: numpy.array(
            netcdf_dataset.variables[RADAR_HEIGHTS_KEY][:], dtype=int
        )
    }

    if example_dict[ROTATED_GRIDS_KEY]:
        orig_example_dict[ROTATED_GRID_SPACING_KEY] = int(
            getattr(netcdf_dataset, ROTATED_GRID_SPACING_KEY)
        )

    if include_soundings:
        orig_example_dict[SOUNDING_FIELDS_KEY] = [
            str(s) for s in netCDF4.chartostring(
                netcdf_dataset.variables[SOUNDING_FIELDS_KEY][:])
        ]
        orig_example_dict[SOUNDING_HEIGHTS_KEY] = numpy.array(
            netcdf_dataset.variables[SOUNDING_HEIGHTS_KEY][:], dtype=int
        )

    for this_key in orig_example_dict:
        if isinstance(example_dict[this_key], numpy.ndarray):
            if numpy.array_equal(example_dict[this_key],
                                 orig_example_dict[this_key]):
                continue
        else:
            if example_dict[this_key] == orig_example_dict[this_key]:
                continue

        error_string = (
            '\n"{0:s}" in existing NetCDF file:\n{1:s}\n\n"{0:s}" in new batch '
            'of examples:\n{2:s}\n\n'
        ).format(
            this_key, str(orig_example_dict[this_key]),
            str(example_dict[this_key])
        )

        raise ValueError(error_string)