docs: def hist(sample, options={}, **kwargs):
      """Draw a histogram in the current context figure.
  
      Parameters
      ----------
      sample: numpy.ndarray, 1d
          The sample for which the histogram must be generated.
      options: dict (default: {})
          Options for the scales to be created. If a scale labeled 'counts'
          is required for that mark, options['counts'] contains optional keyword
          arguments for the constructor of the corresponding scale type.
      axes_options: dict (default: {})
          Options for the axes to be created. If an axis labeled 'counts' is
          required for that mark, axes_options['counts'] contains optional
          keyword arguments for the constructor of the corresponding axis type.
      """
      kwargs['sample'] = sample
      scales = kwargs.pop('scales', {})
      if 'count' not in scales:
          dimension = _get_attribute_dimension('count', Hist)
          if dimension in _context['scales']:
              scales['count'] = _context['scales'][dimension]
          else:
              scales['count'] = LinearScale(**options.get('count', {}))
              _context['scales'][dimension] = scales['count']
      kwargs['scales'] = scales
      return _draw_mark(Hist, options=options, **kwargs)