old_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  import logging
  from copy import deepcopy
  from typing import Any, Callable, Dict, Optional, Type
  
  from pyathena.converter import (
      Converter,
      _to_binary,
      _to_boolean,
      _to_decimal,
      _to_default,
      _to_json,
  )
  
  _logger = logging.getLogger(__name__)  # type: ignore
  
  
  _DEFAULT_PANDAS_CONVERTERS: Dict[str, Callable[[Optional[str]], Optional[Any]]] = {
      "boolean": _to_boolean,
      "decimal": _to_decimal,
      "varbinary": _to_binary,
      "json": _to_json,
  }
  
  
  class DefaultPandasTypeConverter(Converter):
      def __init__(self) -> None:
          super(DefaultPandasTypeConverter, self).__init__(
              mappings=deepcopy(_DEFAULT_PANDAS_CONVERTERS),
              default=_to_default,
              types=self._dtypes,
          )
  
      @property
      def _dtypes(self) -> Dict[str, Type[Any]]:
          if not hasattr(self, "__dtypes"):
              import pandas as pd
  
              self.__dtypes = {
                  "tinyint": pd.Int64Dtype(),
                  "smallint": pd.Int64Dtype(),
                  "integer": pd.Int64Dtype(),
                  "bigint": pd.Int64Dtype(),
                  "float": float,
                  "real": float,
                  "double": float,
                  "char": str,
                  "varchar": str,
                  "string": str,
                  "array": str,
                  "map": str,
                  "row": str,
              }
          return self.__dtypes
  
      def convert(self, type_: str, value: Optional[str]) -> Optional[Any]:
          pass
  
new_contents: # -*- coding: utf-8 -*-
  import logging
  from copy import deepcopy
  from typing import Any, Callable, Dict, Optional, Type
  
  from pyathena.converter import (
      Converter,
      _to_binary,
      _to_boolean,
      _to_decimal,
      _to_default,
      _to_json,
  )
  
  _logger = logging.getLogger(__name__)  # type: ignore
  
  
  _DEFAULT_PANDAS_CONVERTERS: Dict[str, Callable[[Optional[str]], Optional[Any]]] = {
      "boolean": _to_boolean,
      "decimal": _to_decimal,
      "varbinary": _to_binary,
      "json": _to_json,
  }
  
  
  class DefaultPandasTypeConverter(Converter):
      def __init__(self) -> None:
          super(DefaultPandasTypeConverter, self).__init__(
              mappings=deepcopy(_DEFAULT_PANDAS_CONVERTERS),
              default=_to_default,
              types=self._dtypes,
          )
  
      @property
      def _dtypes(self) -> Dict[str, Type[Any]]:
          if not hasattr(self, "__dtypes"):
              import pandas as pd
  
              self.__dtypes = {
                  "tinyint": pd.Int64Dtype(),
                  "smallint": pd.Int64Dtype(),
                  "integer": pd.Int64Dtype(),
                  "bigint": pd.Int64Dtype(),
                  "float": float,
                  "real": float,
                  "double": float,
                  "char": str,
                  "varchar": str,
                  "string": str,
                  "array": str,
                  "map": str,
                  "row": str,
              }
          return self.__dtypes
  
      def convert(self, type_: str, value: Optional[str]) -> Optional[Any]:
          pass
  
subject: Remove shebang