class_docstr: Class for reading from native FASTQ files.
  
  Most users will want to use FastqReader instead, because it dynamically
  dispatches between reading native FASTQ files and TFRecord files based on the
  filename's extension.
class_docstr_tok: ["Class","for","reading","from","native","FASTQ","files",".","Most","users","will","want","to","use","FastqReader","instead",",","because","it","dynamically","dispatches","between","reading","native","FASTQ","files","and","TFRecord","files","based","on","the","filename","'s","extension","."]
docstr: Initializes a NativeFastqReader.
  
  Args:
    input_path: str. A path to a resource containing FASTQ records.
docstr_tok: ["Initializes","a","NativeFastqReader",".","Args",":","input_path",":","str",".","A","path","to","a","resource","containing","FASTQ","records","."]
code: def __init__(self, input_path):
      """Initializes a NativeFastqReader.
  
      Args:
        input_path: str. A path to a resource containing FASTQ records.
      """
      super(NativeFastqReader, self).__init__()
  
      fastq_path = input_path.encode("utf8")
      options = fastq_pb2.FastqReaderOptions()
      self._reader = fastq_reader.FastqReader.from_file(
          fastq_path, options
      )
      self.header = None
  
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 fastq_reader
  from third_party.nucleus.io.python import fastq_writer
  from third_party.nucleus.protos import fastq_pb2
label_desc: Use image node_id 1 to create a new NativeFastqReader object from inherited base classes: genomics_reader with example: obj = NativeFastqReader(input_path)