def METHOD_NAME() -> None:
    """Test `DataWarehouseInferenceContext` initialization.
    This test case asserts that the conversion from the `table_props` argument
    (which is a list) to `self.tables` and `self.columns` (which are dicts)
    implemented by `DataWarehouseInferenceContext.__post_init__` works as intended.
    """
    t1 = SqlTable.from_string("db.schema1.table1")
    t2 = SqlTable.from_string("db.schema2.table1")
    t1_cols = [
        ColumnProperties(
            column=SqlColumn(table=t1, column_name="column1"),
            type=InferenceColumnType.INTEGER,
            row_count=1000,
            distinct_row_count=1000,
            is_nullable=False,
            null_count=0,
            min_value=0,
            max_value=999,
        ),
        ColumnProperties(
            column=SqlColumn(table=t1, column_name="column2"),
            type=InferenceColumnType.FLOAT,
            row_count=2000,
            distinct_row_count=1000,
            is_nullable=True,
            null_count=10,
            min_value=0,
            max_value=1000,
        ),
    ]
    t1_props = TableProperties(table=t1, column_props=t1_cols)
    t2_cols = [
        ColumnProperties(
            column=SqlColumn(table=t2, column_name="column_a"),
            type=InferenceColumnType.FLOAT,
            row_count=1000,
            distinct_row_count=1000,
            is_nullable=False,
            null_count=0,
            min_value=0,
            max_value=999,
        ),
    ]
    t2_props = TableProperties(table=t2, column_props=t2_cols)
    ctx = DataWarehouseInferenceContext(table_props=[t1_props, t2_props])
    assert ctx.tables == {t1: t1_props, t2: t2_props}
    assert ctx.columns == {
        t1_cols[0].column: t1_cols[0],
        t1_cols[1].column: t1_cols[1],
        t2_cols[0].column: t2_cols[0],
    }