class_docstr: Abstract implementation that other SQL clients are based on.
code: def drop_schema(
      self, schema_name: str, cascade: bool = True
  ) -> None:  # noqa: D
      self.execute(
          f"DROP SCHEMA IF EXISTS {schema_name}{' CASCADE' if cascade else ''}"
      )
  
imports: from __future__ import annotations
  import logging
  import time
  from abc import ABC, abstractmethod
  from typing import Optional
  import pandas
  from dbt_semantic_interfaces.pretty_print import pformat_big_objects
  from metricflow.dataflow.sql_table import SqlTable
  from metricflow.mf_logging.formatting import indent
  from metricflow.protocols.sql_client import SqlClient
  from metricflow.random_id import random_id
  from metricflow.sql.sql_bind_parameters import SqlBindParameters
  from metricflow.sql_request.sql_request_attributes import SqlJsonTag, SqlRequestId, SqlRequestTagSet
  from metricflow.sql_request.sql_statement_metadata import CombinedSqlTags, SqlStatementCommentMetadata
label_desc: Use image node_id 10 for calling the BaseSqlClientImplementation obj's underlying member method code with example usage: obj.drop_schema(schema_name, cascade) without return types