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23 statements  

1# engine/processors.py 

2# Copyright (C) 2010-2025 the SQLAlchemy authors and contributors 

3# <see AUTHORS file> 

4# Copyright (C) 2010 Gaetan de Menten gdementen@gmail.com 

5# 

6# This module is part of SQLAlchemy and is released under 

7# the MIT License: https://www.opensource.org/licenses/mit-license.php 

8 

9"""defines generic type conversion functions, as used in bind and result 

10processors. 

11 

12They all share one common characteristic: None is passed through unchanged. 

13 

14""" 

15from __future__ import annotations 

16 

17import typing 

18 

19from ._py_processors import str_to_datetime_processor_factory # noqa 

20from ..util._has_cy import HAS_CYEXTENSION 

21 

22if typing.TYPE_CHECKING or not HAS_CYEXTENSION: 

23 from ._py_processors import int_to_boolean as int_to_boolean 

24 from ._py_processors import str_to_date as str_to_date 

25 from ._py_processors import str_to_datetime as str_to_datetime 

26 from ._py_processors import str_to_time as str_to_time 

27 from ._py_processors import ( 

28 to_decimal_processor_factory as to_decimal_processor_factory, 

29 ) 

30 from ._py_processors import to_float as to_float 

31 from ._py_processors import to_str as to_str 

32else: 

33 from sqlalchemy.cyextension.processors import ( 

34 DecimalResultProcessor, 

35 ) 

36 from sqlalchemy.cyextension.processors import ( # noqa: F401 

37 int_to_boolean as int_to_boolean, 

38 ) 

39 from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 

40 str_to_date as str_to_date, 

41 ) 

42 from sqlalchemy.cyextension.processors import ( # noqa: F401 

43 str_to_datetime as str_to_datetime, 

44 ) 

45 from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 

46 str_to_time as str_to_time, 

47 ) 

48 from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 

49 to_float as to_float, 

50 ) 

51 from sqlalchemy.cyextension.processors import ( # noqa: F401,E501 

52 to_str as to_str, 

53 ) 

54 

55 def to_decimal_processor_factory(target_class, scale): 

56 # Note that the scale argument is not taken into account for integer 

57 # values in the C implementation while it is in the Python one. 

58 # For example, the Python implementation might return 

59 # Decimal('5.00000') whereas the C implementation will 

60 # return Decimal('5'). These are equivalent of course. 

61 return DecimalResultProcessor(target_class, "%%.%df" % scale).process