code: def get_profiling_series():
      data = {
          "empty": pd.Series([], dtype=object),
          # Boolean
          "booleans_type": [False, True, True],
          "booleans_type_nan": [False, True, np.nan],
          "str_yes_no": ["Y", "N", "Y"],
          "str_yes_no_mixed": ["Y", "n", "y"],
          "str_yes_no_nan": ["Y", "N", np.nan],
          "str_true_false": ["True", "False", "False"],
          "str_true_false_nan": ["True", "False", np.nan],
          "str_true_false_none": ["True", "False", None],
          # Numeric
          "num_with_inf": [1, 2, 3, 6, np.inf],
          "integers": [1, 0, 0, 0],
          "inf_only": [np.inf],
          "integers_nan": [1, 0, 1, 0, np.nan],
          # test Describe
          "id": [chr(97 + c) for c in range(1, 9)] + ["d"],
          "catnum": [str(c) for c in range(1, 100)],
          "x": [50, 50, -10, 0, 0, 5, 15, -3, np.nan],
          "y": [
              0.000001,
              654.152,
              np.nan,
              15.984512,
              3122,
              -3.1415926535,
              111,
              15.9,
              13.5,
          ],
          "str": [
              "a",
              "long text value",
              "Élysée",
              "",
              None,
              "some <b> B.s </div> </div> HTML stuff",
              "c",
              "c",
              "c",
          ],
          "str_cat": pd.Series(
              ["male", "male", None, "female", "female", "male", "male"]
          ),
          "str_num": ["1", "10", "3.14", "566"],
          "str_date": [
              "2000/01/01",
              "2001/07/24",
              "2011/12/24",
              "1980/03/10",
          ],
          "str_date2": [
              "2000-01-01",
              "2001-07-24",
              "2011-12-24",
              "1980-03-10",
          ],
          "s1": np.ones(9),
          "s2": [
              "some constant text $ % value {obj} "
              for _ in range(1, 10)
          ],
          "cat": pd.Series(
              [
                  "male",
                  "male",
                  None,
                  "female",
                  "female",
                  "male",
                  "male",
              ],
              dtype="category",
          ),
          "somedate": [
              datetime.date(2011, 7, 4),
              datetime.datetime(2022, 1, 1, 13, 57),
              datetime.datetime(1990, 12, 9),
              np.nan,
              datetime.datetime(1990, 12, 9),
              datetime.datetime(1950, 12, 9),
              datetime.datetime(1898, 1, 2),
              datetime.datetime(1950, 12, 9),
              datetime.datetime(1950, 12, 9),
          ],
          "bool_tf": [
              True,
              True,
              False,
              True,
              False,
              True,
              True,
              False,
              True,
          ],
          "bool_tf_with_nan": [
              True,
              False,
              False,
              False,
              False,
              True,
              True,
              False,
              np.nan,
          ],
          "bool_01": [1, 1, 0, 1, 1, 0, 0, 0, 1],
          "bool_01_with_nan": [1, 0, 1, 0, 0, 1, 1, 0, np.nan],
          "list": [
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
              [1, 2],
          ],
          "mixed": [1, 2, "a", 4, 5, 6, 7, 8, 9],
          "dict": [
              {"a": "a"},
              {"b": "b"},
              {"c": "c"},
              {"d": "d"},
              {"e": "e"},
              {"f": "f"},
              {"g": "g"},
              {"h": "h"},
              {"i": "i"},
          ],
          "tuple": [
              (1, 2),
              (3, 4),
              (5, 6),
              (7, 8),
              (9, 10),
              (11, 12),
              (13, 14),
              (15, 16),
              (17, 18),
          ],
          "date_str": ["2018-01-01", "2017-02-01", "2018-04-07"],
          "nullable_int": pd.Series([1, None], dtype="Int64"),
      }
  
      return {
          key: pd.Series(values, name=key)
          for key, values in data.items()
      }
  
file_path: ydata-profiling/tests/unit/test_typeset_custom.py
imports: import datetime
  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
label_desc: Use image node_id 1 for calling a global function with example usage: get_profiling_series() and returns: unknown