text: from typing import TYPE_CHECKING
  
  if TYPE_CHECKING:
      from pydantic import BaseModel
  
  
  def skip_fields_in_pydantic_model(
          base_model: type['BaseModel'],
          new_model_name: str,
          skip_fields: set[str]
  ) -> type['BaseModel']:
      """Create serializer (Pydantic model) and skips specific fields.
  
      Args:
          base_model (type['BaseModel']): Pydantic model
          new_model_name (str): Name of new class
          skip_fields (set[str]): Which fields are skipped (names)
  
      Returns:
          type['BaseModel']: Pydantic serializer.
      """
      # Create a deep copy of serializer class dictionary
      new_dict = {_k: _v for _k, _v in base_model.__dict__.items()}
      new_dict['__fields__'] = {
          _k: _v for _k, _v in base_model.__fields__.items()
          if _k not in skip_fields
      }
      # Return new type
      return type(new_model_name,
                  base_model.__bases__,
                  new_dict)
  
  
  def skip_primary_keys_in_model(
          base_model: type['BaseModel'],
          new_model_name: str,
          pk_fields_names: set[str] = ("id", )
  ) -> type['BaseModel']:
      """Create serializer (Pydantic model) and skips primary keys.
  
      Args:
          base_model (type['BaseModel']): Pydantic model
          new_model_name (str): Name of new class
          pk_fields_names (set[str]): Name of primary key fields
  
      Returns:
          type['BaseModel']: Pydantic serializer.
      """
      return skip_fields_in_pydantic_model(
          base_model,
          new_model_name,
          set(pk_fields_names)
      )
  