class_docstr: Class for reading from native GFF files.
  
  Most users will want to use GffReader instead, because it dynamically
  dispatches between reading native GFF files and TFRecord files based on the
  filename's extension.
class_docstr_tok: ["Class","for","reading","from","native","GFF","files",".","Most","users","will","want","to","use","GffReader","instead",",","because","it","dynamically","dispatches","between","reading","native","GFF","files","and","TFRecord","files","based","on","the","filename","'s","extension","."]
docstr: Initializes a NativeGffReader.
  
  Args:
    input_path: string. A path to a resource containing GFF records.
docstr_tok: ["Initializes","a","NativeGffReader",".","Args",":","input_path",":","string",".","A","path","to","a","resource","containing","GFF","records","."]
code: def __init__(self, input_path):
      """Initializes a NativeGffReader.
  
      Args:
        input_path: string. A path to a resource containing GFF records.
      """
      super(NativeGffReader, self).__init__()
      gff_path = input_path.encode("utf8")
      reader_options = gff_pb2.GffReaderOptions()
      self._reader = gff_reader.GffReader.from_file(
          gff_path, reader_options
      )
      self.header = self._reader.header
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from third_party.nucleus.io import genomics_reader
  from third_party.nucleus.io import genomics_writer
  from third_party.nucleus.io.python import gff_reader
  from third_party.nucleus.io.python import gff_writer
  from third_party.nucleus.protos import gff_pb2
label_desc: Use image node_id 1 to create a new NativeGffReader object from inherited base classes: genomics_reader with example: obj = NativeGffReader(input_path)