class_docstr: Class for reading from native BED files.
  
  Most users will want to use BedReader instead, because it dynamically
  dispatches between reading native BED files and TFRecord files based on the
  filename's extension.
class_docstr_tok: ["Class","for","reading","from","native","BED","files",".","Most","users","will","want","to","use","BedReader","instead",",","because","it","dynamically","dispatches","between","reading","native","BED","files","and","TFRecord","files","based","on","the","filename","'s","extension","."]
docstr: Returns an iterator for going through the records in the region.
  
  NOTE: This function is not currently implemented by NativeBedReader though
  it could be implemented for sorted, tabix-indexed BED files.
docstr_tok: ["Returns","an","iterator","for","going","through","the","records","in","the","region",".","NOTE",":","This","function","is","not","currently","implemented","by","NativeBedReader","though","it","could","be","implemented","for","sorted",",","tabix-indexed","BED","files","."]
code: def query(self):
      """Returns an iterator for going through the records in the region.
  
      NOTE: This function is not currently implemented by NativeBedReader though
      it could be implemented for sorted, tabix-indexed BED files.
      """
      raise NotImplementedError("Can not currently query a BED file")
  
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 bed_reader
  from third_party.nucleus.io.python import bed_writer
  from third_party.nucleus.protos import bed_pb2
label_desc: Use image node_id 2 for calling the NativeBedReader obj's underlying member method code with example usage: obj.query() without return types