class_docstr: precision metric 
code: def __init__(self, config):
      super().__init__(config)
  
imports: import os
  import abc
  from absl import logging
  import numpy
  from sklearn import metrics
  from seqeval.metrics import classification_report
  from delta.utils.register import registers
  from delta.utils.postprocess.postprocess_utils import ids_to_sentences
  from rouge import FilesRouge
  from sacrebleu import corpus_bleu
  from delta.utils.metrics import metric_utils
label_desc: Use image node_id 1 to create a new PrecisionCal object from inherited base classes: Metric with example: obj = PrecisionCal(config)