class_docstr: Encapsulates details of reading a list of Feather files.
  
  Parameters
  ----------
  path_or_paths : List[str]
      A list of file names
  validate_schema : bool, default True
      Check that individual file schemas are all the same / compatible
class_docstr_tok: ["Encapsulates","details","of","reading","a","list","of","Feather","files",".","Parameters","--","--","--","--","--","path_or_paths",":","List","[","str","]","A","list","of","file","names","validate_schema",":","bool",",","default","True","Check","that","individual","file","schemas","are","all","the","same","\/","compatible"]
code: def validate_schemas(self, piece, table):
      if not self.schema.equals(table.schema):
          raise ValueError(
              "Schema in {!s} was different. \n"
              "{!s}\n\nvs\n\n{!s}".format(
                  piece, self.schema, table.schema
              )
          )
  
file_path: arrow/python/pyarrow/feather.py
imports: import os
  from pyarrow.pandas_compat import _pandas_api
  from pyarrow.lib import Codec, Table, concat_tables, schema
  import pyarrow.lib
  from pyarrow import _feather
  from pyarrow._feather import FeatherError
label_desc: Use image node_id 3 for calling the FeatherDataset obj's underlying member method code with example usage: obj.validate_schemas(piece, table) without return types