class_docstr: Pandas ExtensionArray to represent ragged arrays
  
  Methods not otherwise documented here are inherited from ExtensionArray;
  please see the corresponding method on that class for the docstring
class_docstr_tok: ["Pandas","ExtensionArray","to","represent","ragged","arrays","Methods","not","otherwise","documented","here","are","inherited","from","ExtensionArray",";","please","see","the","corresponding","method","on","that","class","for","the","docstring"]
code: def take(self, indices, allow_fill=False, fill_value=None):
      if allow_fill:
          invalid_inds = [i for i in indices if i < -1]
          if invalid_inds:
              raise ValueError(
                  """
  Invalid indices for take with allow_fill True: {inds}""".format(
                      inds=invalid_inds[:9]
                  )
              )
          sequence = [
              self[i] if i >= 0 else fill_value for i in indices
          ]
      else:
          if len(self) == 0 and len(indices) > 0:
              raise IndexError(
                  "cannot do a non-empty take from an empty axis|out of bounds"
              )
  
          sequence = [self[i] for i in indices]
  
      return RaggedArray(sequence, dtype=self.flat_array.dtype)
  
imports: from __future__ import annotations
  import re
  from functools import total_ordering
  from packaging.version import Version
  import numpy
  import pandas
  from numba import jit
  from pandas.api.extensions import ExtensionDtype, ExtensionArray, register_extension_dtype
  from numbers import Integral
  from pandas.api.types import pandas_dtype, is_extension_array_dtype
label_desc: Use image node_id 18 for calling the RaggedArray obj's underlying member method code with example usage: obj.take(indices, allow_fill, fill_value) and returns: RaggedArray