code: def test_apply_post_process_verbose_map(session: Session):
      from superset.connectors.sqla.models import SqlaTable, SqlMetric
      from superset.models.core import Database
  
      engine = session.get_bind()
      SqlaTable.metadata.create_all(engine)  # pylint: disable=no-member
      db = Database(
          database_name="my_database", sqlalchemy_uri="sqlite://"
      )
      sqla_table = SqlaTable(
          table_name="my_sqla_table",
          columns=[],
          metrics=[
              SqlMetric(
                  metric_name="count",
                  verbose_name="COUNT(*)",
                  metric_type="count",
                  expression="COUNT(*)",
              )
          ],
          database=db,
      )
  
      result = {
          "queries": [
              {
                  "result_format": ChartDataResultFormat.JSON,
                  "data": [{"count": 4725}],
              }
          ]
      }
      form_data = {
          "datasource": "19__table",
          "viz_type": "pivot_table_v2",
          "slice_id": 69,
          "url_params": {},
          "granularity_sqla": "time_start",
          "time_grain_sqla": "P1D",
          "time_range": "No filter",
          "groupbyColumns": [],
          "groupbyRows": [],
          "metrics": ["COUNT(*)"],
          "metricsLayout": "COLUMNS",
          "row_limit": 10000,
          "order_desc": True,
          "valueFormat": "SMART_NUMBER",
          "date_format": "smart_date",
          "rowOrder": "key_a_to_z",
          "colOrder": "key_a_to_z",
          "extra_form_data": {},
          "force": False,
          "result_format": "json",
          "result_type": "results",
      }
  
      assert apply_post_process(
          result, form_data, datasource=sqla_table
      ) == {
          "queries": [
              {
                  "result_format": ChartDataResultFormat.JSON,
                  "data": {"COUNT(*)": {"Total (Sum)": 4725}},
                  "colnames": [("COUNT(*)",)],
                  "indexnames": [("Total (Sum)",)],
                  "coltypes": [GenericDataType.NUMERIC],
                  "rowcount": 1,
              }
          ]
      }
  
imports: import pandas
  import pytest
  from flask_babel import lazy_gettext
  from numpy import True_
  from sqlalchemy.orm.session import Session
  from superset.charts.post_processing import apply_post_process, pivot_df, table
  from superset.common.chart_data import ChartDataResultFormat
  from superset.utils.core import GenericDataType
label_desc: Use image node_id 17 for calling a global function with example usage: test_apply_post_process_verbose_map(session) without return types