class_docstr: Provides access to read and write statistics proto to record files.
class_docstr_tok: ["Provides","access","to","read","and","write","statistics","proto","to","record","files","."]
docstr: Get a file-backed iterator over sharded statistics protos.
  
  Args:
    paths: A list of file paths containing statistics records.
docstr_tok: ["Get","a","file-backed","iterator","over","sharded","statistics","protos",".","Args",":","paths",":","A","list","of","file","paths","containing","statistics","records","."]
code: def record_iterator_impl(
      self,
      paths: Optional[Iterable[str]] = None,
  ) -> Iterator[statistics_pb2.DatasetFeatureStatisticsList]:
      """Get a file-backed iterator over sharded statistics protos.
  
      Args:
        paths: A list of file paths containing statistics records.
      """
      raise NotImplementedError
  
imports: from typing import Callable, Iterable, Iterator, Optional, Type, TypeVar
  import apache_beam
  import tensorflow
  from google.protobuf import message
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 2 for calling the StatisticsIOProvider obj's underlying member method code with example usage: obj.record_iterator_impl(paths) without return types