code: def histogram_basic_checks(plots=None):
      if plots is None or len(plots) == 0:
          return
  
      for plot in plots:
          if len(plot["hist_names"]) == 0:
              plot["hist_names"] = [
                  f"hist{i}" for i in range(len(plot["hists"]))
              ]
          if plot["hist_names"] and len(plot["hists"]) != len(
              plot["hist_names"]
          ):
              raise ValueError(
                  "length of hist and hist_names are different"
              )
  
          for hist in plot["hists"]:
              try:
                  hist_values, hist_bins = hist
              except BaseException as e:
                  raise ValueError(
                      "Cannot extract binning and values from input histogram"
                  ) from e
  
              assert hist_values is not None and len(
                  hist_values
              ), "Histogram bin values have not been set."
              assert hist_bins is not None and len(
                  hist_bins
              ), "Histogram binning has not been set."
  
              if plot["is_ts"]:
                  plot["is_num"] = True
  
              if plot["is_num"]:
                  bin_edges = hist_bins
                  bin_values = hist_values
                  assert (
                      len(bin_edges) == len(bin_values) + 1
                  ), "bin edges (+ upper edge) and bin values have inconsistent lengths: {:d} vs {:d}. {}".format(
                      len(bin_edges), len(bin_values), plot["feature"]
                  )
              else:
                  labels = hist_bins
                  values = hist_values
                  assert len(labels) == len(
                      values
                  ), f'labels and values have different array lengths: {len(labels):d} vs {len(values):d}. {plot["feature"]}'
  
imports: from __future__ import annotations
  import datetime
  import json
  import logging
  import math
  import warnings
  from collections import defaultdict
  import numpy
  import pandas
  import plotly.express
  import plotly.graph_objects
  from popmon.resources import templates_env
label_desc: Use image node_id 9 for calling a global function with example usage: histogram_basic_checks(plots) without return types