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𝗖𝗨𝗥𝗥𝗘𝗡𝗧 𝗙𝗜𝗟𝗘 : /opt/hc_python/lib/python3.12/site-packages/sqlalchemy/engine//processors.py
# engine/processors.py
# Copyright (C) 2010-2025 the SQLAlchemy authors and contributors
# <see AUTHORS file>
# Copyright (C) 2010 Gaetan de Menten gdementen@gmail.com
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php

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

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

"""
from __future__ import annotations

import typing

from ._py_processors import str_to_datetime_processor_factory  # noqa
from ..util._has_cy import HAS_CYEXTENSION

if typing.TYPE_CHECKING or not HAS_CYEXTENSION:
    from ._py_processors import int_to_boolean as int_to_boolean
    from ._py_processors import str_to_date as str_to_date
    from ._py_processors import str_to_datetime as str_to_datetime
    from ._py_processors import str_to_time as str_to_time
    from ._py_processors import (
        to_decimal_processor_factory as to_decimal_processor_factory,
    )
    from ._py_processors import to_float as to_float
    from ._py_processors import to_str as to_str
else:
    from sqlalchemy.cyextension.processors import (
        DecimalResultProcessor,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401
        int_to_boolean as int_to_boolean,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
        str_to_date as str_to_date,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401
        str_to_datetime as str_to_datetime,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
        str_to_time as str_to_time,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
        to_float as to_float,
    )
    from sqlalchemy.cyextension.processors import (  # noqa: F401,E501
        to_str as to_str,
    )

    def to_decimal_processor_factory(target_class, scale):
        # Note that the scale argument is not taken into account for integer
        # values in the C implementation while it is in the Python one.
        # For example, the Python implementation might return
        # Decimal('5.00000') whereas the C implementation will
        # return Decimal('5'). These are equivalent of course.
        return DecimalResultProcessor(target_class, "%%.%df" % scale).process


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__pycache__
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__init__.py
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_py_processors.py
3.656 KB
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_py_row.py
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_py_util.py
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base.py
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characteristics.py
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create.py
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cursor.py
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default.py
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events.py
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interfaces.py
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mock.py
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processors.py
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reflection.py
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result.py
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row.py
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strategies.py
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url.py
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util.py
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