code: def runs(*uuids: str):
      r"""
      This is used to analyze runs.
      It fetches all the log indicators.
  
      Arguments:
          uuids (str): UUIDs of the runs. You can
              get this from `labml.ai app <https://github.com/labmlai/labml/tree/master/app>`_
  
      Example:
          >>> from labml import analytics
          >>> indicators = analytics.runs('1d3f855874d811eabb9359457a24edc8')
      """
  
      indicators = None
      for r in uuids:
          run = _cache.get_run(r)
          indicators = indicators + run.indicators
  
      return indicators
  
imports: from typing import Tuple, Optional, List, overload, Union, TYPE_CHECKING
  import numpy
  from labml.internal.analytics import cache
  from labml.internal.analytics.altair import density
  from labml.internal.analytics.altair import histogram
  from labml.internal.analytics.altair import scatter
  from labml.internal.analytics.altair import binned_heatmap
  from labml.internal.analytics.indicators import IndicatorCollection
  from labml.internal.analytics.models import ModelProbe
  from labml.internal.analytics.models import ValueCollection
  from labml.internal.analytics.models import DeepValueCollection
  from labml.internal.analytics.viz import text_attention
  from labml.internal.analytics.viz import init_inline_viz
label_desc: Use image node_id 4 for calling a global function with example usage: runs() and returns: indicators