code: def compare(
      reports: Union[List[ProfileReport], List[BaseDescription]],
      config: Optional[Settings] = None,
      compute: bool = False,
  ) -> ProfileReport:
      """
      Compare Profile reports
  
      Args:
          reports: two reports to compare
                   input may either be a ProfileReport, or the summary obtained from report.get_description()
          config: the settings object for the merged ProfileReport
          compute: recompute the profile report using config or the left report config
                   recommended in cases where the reports were created using different settings
  
      """
      if len(reports) == 0:
          raise ValueError("No reports available for comparison.")
  
      report_dtypes = [type(r) for r in reports]
      if len(set(report_dtypes)) > 1:
          raise TypeError(
              "The input must have the same data type for all reports. Comparing ProfileReport objects to summaries obtained from the get_description() method is not supported."
          )
  
      if isinstance(reports[0], ProfileReport):
          all_configs = [r.config for r in reports]  # type: ignore
      else:
          configs_str = [
              json.loads(r.package["ydata_profiling_config"]) for r in reports  # type: ignore
          ]
          all_configs = []
          for c_str in configs_str:
              c_setting = Settings()
              c_setting = c_setting.update(c_str)
              all_configs.append(c_setting)
  
      validate_reports(reports=reports, configs=all_configs)
  
      if isinstance(reports[0], ProfileReport):
          base_features = reports[0].df.columns  # type: ignore
          for report in reports[1:]:
              cols_2_compare = [col for col in base_features if col in report.df.columns]  # type: ignore
              report.df = report.df.loc[:, cols_2_compare]  # type: ignore
          reports = [r for r in reports if not r.df.empty]  # type: ignore
          if len(reports) == 1:
              return reports[0]  # type: ignore
      else:
          base_features = list(reports[0].variables.keys())
          non_empty_reports = 0
          for report in reports[1:]:
              cols_2_compare = [
                  col for col in base_features if col in list(report.variables.keys())  # type: ignore
              ]
              if len(cols_2_compare) > 0:
                  non_empty_reports += 1
          if non_empty_reports == 0:
              profile = ProfileReport(None, config=all_configs[0])
              profile._description_set = reports[0]
              return profile
  
      _config = None
      if config is None:
          _config = all_configs[0].copy()
      else:
          _config = config.copy()
          if isinstance(reports[0], ProfileReport):
              for report in reports:
                  tsmode = report.config.vars.timeseries.active  # type: ignore
                  title = report.config.title  # type: ignore
                  report.config = config.copy()  # type: ignore
                  report.config.title = title  # type: ignore
                  report.config.vars.timeseries.active = tsmode  # type: ignore
                  if compute:
                      report._description_set = None  # type: ignore
  
      if all(isinstance(report, ProfileReport) for report in reports):
          # Type ignore is needed as mypy does not pick up on the type narrowing
          # Consider using TypeGuard (3.10): https://docs.python.org/3/library/typing.html#typing.TypeGuard
          _update_titles(reports)  # type: ignore
          labels, descriptions = _compare_profile_report_preprocess(reports, _config)  # type: ignore
      elif all(
          isinstance(report, BaseDescription) for report in reports
      ):
          labels, descriptions = _compare_dataset_description_preprocess(reports)  # type: ignore
      else:
          raise TypeError(
              "The input must have the same data type for all reports. Comparing ProfileReport objects to summaries obtained from the get_description() method is not supported."
          )
  
      _config.html.style._labels = labels
  
      _placeholders(descriptions)
  
      descriptions_dict = [
          asdict(_apply_config(d, _config)) for d in descriptions
      ]
  
      res: dict = _update_merge(None, descriptions_dict[0])
      for r in descriptions_dict[1:]:
          res = _update_merge(res, r)
  
      res["analysis"]["title"] = _compare_title(
          res["analysis"]["title"]
      )
      res["alerts"] = _create_placehoder_alerts(res["alerts"])
      if not any(res["time_index_analysis"]):
          res["time_index_analysis"] = None
      profile = ProfileReport(None, config=_config)
      profile._description_set = from_dict(
          data_class=BaseDescription, data=res
      )
      return profile
  
imports: import json
  import warnings
  from dataclasses import asdict
  from typing import Any, List, Optional, Tuple, Union
  import pandas
  from dacite import from_dict
  from ydata_profiling.config import Correlation, Settings
  from ydata_profiling.model import BaseDescription
  from ydata_profiling.model.alerts import Alert
  from ydata_profiling.profile_report import ProfileReport
label_desc: Use image node_id 15 for calling a global function with example usage: compare(reports, config, compute) and returns: profile, reports, profile