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23 statements  

1# engine/processors.py 

2# Copyright (C) 2010-2026 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""" 

15 

16from __future__ import annotations 

17 

18import typing 

19 

20from ._py_processors import str_to_datetime_processor_factory # noqa 

21from ..util._has_cy import HAS_CYEXTENSION 

22 

23if typing.TYPE_CHECKING or not HAS_CYEXTENSION: 

24 from ._py_processors import int_to_boolean as int_to_boolean 

25 from ._py_processors import str_to_date as str_to_date 

26 from ._py_processors import str_to_datetime as str_to_datetime 

27 from ._py_processors import str_to_time as str_to_time 

28 from ._py_processors import ( 

29 to_decimal_processor_factory as to_decimal_processor_factory, 

30 ) 

31 from ._py_processors import to_float as to_float 

32 from ._py_processors import to_str as to_str 

33else: 

34 from sqlalchemy.cyextension.processors import ( 

35 DecimalResultProcessor, 

36 ) 

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

38 int_to_boolean as int_to_boolean, 

39 ) 

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

41 str_to_date as str_to_date, 

42 ) 

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

44 str_to_datetime as str_to_datetime, 

45 ) 

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

47 str_to_time as str_to_time, 

48 ) 

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

50 to_float as to_float, 

51 ) 

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

53 to_str as to_str, 

54 ) 

55 

56 def to_decimal_processor_factory(target_class, scale): 

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

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

59 # For example, the Python implementation might return 

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

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

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