docstr: Returns the environment for the code to be executed.
  
  Returns (dict): A dictionary of environment variables
docstr_tok: ["Returns","the","environment","for","the","code","to","be","executed",".","Returns","(","dict",")",":","A","dictionary","of","environment","variables"]
code: def _get_environment(self) -> dict:
      """
      Returns the environment for the code to be executed.
  
      Returns (dict): A dictionary of environment variables
      """
      return {
          "pd": pd,
          **{
              lib["alias"]: getattr(
                  import_dependency(lib["module"]), lib["name"]
              )
              if hasattr(import_dependency(lib["module"]), lib["name"])
              else import_dependency(lib["module"])
              for lib in self._additional_dependencies
          },
          "__builtins__": {
              **{
                  builtin: __builtins__[builtin]
                  for builtin in WHITELISTED_BUILTINS
              },
              "__build_class__": __build_class__,
              "__name__": "__main__",
          },
      }
  
imports: import re
  import ast
  import uuid
  from collections import defaultdict
  import astor
  import pandas
  from pandasai.helpers.path import find_project_root
  from pandasai.helpers.skills_manager import SkillsManager
  from pandasai.helpers.sql import extract_table_names
  from .node_visitors import AssignmentVisitor, CallVisitor
  from .save_chart import add_save_chart
  from .optional import import_dependency
  from ..exceptions import BadImportError, MaliciousQueryError, NoResultFoundError, InvalidConfigError
  from ..constants import WHITELISTED_BUILTINS, WHITELISTED_LIBRARIES
  from typing import Union, List, Generator, Any
  from ..helpers.logger import Logger
  from ..schemas.df_config import Config
  import logging
  import traceback
label_desc: Use image node_id 7 for calling the CodeManager obj's underlying member method code with example usage: obj._get_environment() and returns: dict