text: import numpy
  import time
  import os
  from .log import log
  import pickle
  import torch
  import tensorboard.backend.event_processing.event_accumulator
  
  
  class SummaryWriter:
      """
      Summary dummy or interface to work like the Tensorboard SummaryWriter.
      """
  
      def __init__(self, log_dir='', **kwargs):
          """
          Constructor.
  
          :param log_dir: summary directory
          :type log_dir: str
          """
  
          pass
  
      def add_scalar(self, tag, value, global_step=None, walltime=None):
          """
          Add scalar value.
  
          :param tag: tag for scalar
          :type tag: str
          :param value: value
          :type value: mixed
          :param global_step: global step
          :type global_step: int
          :param walltime: time
          :type walltime: int
          """
  
          pass
  
      def add_scalars(self, tag, tag_scalar_dict, global_step=None, walltime=None):
          """
          Add scalar values.
  
          :param tag: tag for scalar
          :type tag: str
          :param tag_scalar_dict: values
          :type tag_scalar_dict: dict
          :param global_step: global step
          :type global_step: int
          :param walltime: time
          :type walltime: int
          """
  
          pass
  
      def add_histogram(self, tag, values, global_step=None, bins='auto', walltime=None, max_bins=None):
          """
          Add histogram data.
  
          :param tag: tag
          :type tag: str
          :param values: values
          :type values: torch.Tensor or numpy.ndarray
          :param global_step: global step
          :type global_step: int
          :param bins: binning method
          :type bins: str
          :param walltime: time
          :type walltime: int
          :param max_bins: maximum number of bins
          :type max_bins: int
          """
  
          pass
  
      def add_image(self, tag, img_tensor, global_step=None, walltime=None, dataformats='CHW'):
          """
          Add image.
  
          :param tag: tag
          :type tag: str
          :param img_tensor: image
          :type img_tensor: torch.Tensor or numpy.ndarray
          :param global_step: global step
          :type global_step: int
          :param walltime: time
          :type walltime: int
          :param dataformats: format of image
          :type dataformats: str
          """
  
          pass
  
      def add_images(self, tag, img_tensor, global_step=None, walltime=None, dataformats='NCHW'):
          """
          Add images.
  
          :param tag: tag
          :type tag: str
          :param img_tensor: images
          :type img_tensor: torch.Tensor or numpy.ndarray
          :param global_step: global step
          :type global_step: int
          :param walltime: time
          :type walltime: int
          :param dataformats: format of image
          :type dataformats: str
          """
  
          pass
  
      def add_figure(self, tag, figure, global_step=None, close=True, walltime=None):
          """
          Add figure.
  
          :param tag: tag
          :type tag: str
          :param figure: test
          :type figure: matplotlib.pyplot.figure
          :param global_step: global step
          :type global_step: int
          :param close: whether to automatically close figure
          :type close: bool
          :param walltime: time
          :type walltime: int
          """
  
          pass
  
      def add_text(self, tag, text_string, global_step=None, walltime=None):
          """
          Add images.
  
          :param tag: tag
          :type tag: str
          :param text_string: test
          :type text_string: str
          :param global_step: global step
          :type global_step: int
          :param walltime: time
          :type walltime: int
          """
  
          pass
  
      def flush(self):
          """
          Flush.
          """
  
          pass
  