code: def demo_axis_style() -> hip.Experiment:
      data: t.List[t.Dict[str, t.Any]] = []
      for _ in range(100):
          data.append(
              {
                  **{
                      f"param{i}": random.uniform(0, 1)
                      for i in range(6)
                  },
                  "loss": random.uniform(0, 100),
                  "metric": 10 ** random.uniform(0, 10),
              }
          )
      xp = hip.Experiment.from_iterable(data)
      for i in range(6):
          xp.parameters_definition[
              f"param{i}"
          ].label_css = "badge badge-pill badge-secondary"
      xp.parameters_definition[
          "loss"
      ].label_css = "badge badge-pill badge-primary"
      xp.parameters_definition[
          "metric"
      ].label_css = "badge badge-pill badge-info"
      return xp
  
imports: import uuid
  import random
  import math
  import time
  import typing
  from .None import experiment
label_desc: Use image node_id 14 for calling a global function with example usage: demo_axis_style() and returns: xp