class_docstr: Writes diagnostic information about the assembler.
class_docstr_tok: ["Writes","diagnostic","information","about","the","assembler","."]
code: def __init__(
      self,
      config,
      graph_filename="graph.dot",
      metrics_filename="realigner_metrics.csv",
      realigned_reads_filename="realigned_reads.bam",
  ):
      self.config = config
      self.graph_filename = graph_filename
      self.metrics_filename = metrics_filename
      self.realigned_reads_filename = realigned_reads_filename
  
      # Setup diagnostics outputs if requested.
      if self.enabled:
          self._csv_file = open(
              self._root_join(self.metrics_filename), "w"
          )
          self._csv_writer = csv.writer(self._csv_file)
          self._write_csv_line("window", "k", "n_haplotypes", "time")
      else:
          self._csv_file = None
          self._csv_writer = None
  
imports: import csv
  import os
  import os.path
  from absl import flags
  from etils import epath
  from deepvariant.protos import realigner_pb2
  from deepvariant.realigner import window_selector
  from deepvariant.realigner.python import debruijn_graph
  from deepvariant.realigner.python import fast_pass_aligner
  from deepvariant.vendor import timer
  from google.protobuf import text_format
  from third_party.nucleus.io import sam
  from third_party.nucleus.protos import cigar_pb2
  from third_party.nucleus.protos import reads_pb2
  from third_party.nucleus.util import cigar
  from third_party.nucleus.util import ranges
  from third_party.nucleus.util import utils
  from third_party.nucleus.util.cigar import READ_ADVANCING_OPS
  from third_party.nucleus.util.cigar import REF_ADVANCING_OPS
label_desc: Use image node_id 1 to create a new DiagnosticLogger object from inherited base classes: object with example: obj = DiagnosticLogger(config, graph_filename, metrics_filename, realigned_reads_filename)