code: def convertion_map() -> list:
      types = {
          "boolean": ["Categorical", "Unsupported"],
          "numeric": ["Categorical", "Boolean", "Unsupported"],
          "categorical": [
              "Numeric",
              "Boolean",
              "TimeSeries",
              "Unsupported",
          ],
          "timeseries": [
              "Numeric",
              "Boolean",
              "Categorical",
              "Unsupported",
          ],
      }
      return [(k, {k: i}) for k, v in types.items() for i in v]
  
file_path: ydata-profiling/tests/unit/test_typeset_default.py
imports: import os
  from typing import Dict
  import numpy
  import pandas
  import pytest
  from visions.test.utils import contains, convert, get_contains_cases, get_convert_cases, get_inference_cases, infers
  from tests.unit.test_utils import patch_arg
  from ydata_profiling.config import Settings
  from ydata_profiling.model.typeset import ProfilingTypeSet
  from ydata_profiling.profile_report import ProfileReport
label_desc: Use image node_id 6 for calling a global function with example usage: convertion_map() and returns: unknown