class_docstr: Cache class for caching queries. It is used to cache queries
  to save time and money.
  
  Args:
      filename (str): filename to store the cache.
docstr: Delete a key value pair from the cache.
  
  Args:
      key (str): key to delete the value from the cache.
docstr_tok: ["Delete","a","key","value","pair","from","the","cache",".","Args",":","key","(","str",")",":","key","to","delete","the","value","from","the","cache","."]
code: def delete(self, key: str) -> None:
      """Delete a key value pair from the cache.
  
      Args:
          key (str): key to delete the value from the cache.
      """
      self.connection.execute(
          "DELETE FROM cache WHERE key=?", [self.versioned_key(key)]
      )
  
file_path: pandas-ai/pandasai/helpers/cache.py
imports: import os
  import glob
  from typing import Any
  import duckdb
  from .path import find_project_root
  from ..constants import DEFAULT_FILE_PERMISSIONS, CACHE_TOKEN
label_desc: Use image node_id 5 for calling the Cache obj's underlying member method code with example usage: obj.delete(key) without return types