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Files and Folders in: //opt/hc_python///lib/python3.12/site-packages/sqlalchemy/engine/

NameTypeSizeLast ModifiedActions
__pycache__ Directory - -
__init__.py File 2818 bytes April 04 2025 08:02:28.
_py_processors.py File 3744 bytes April 04 2025 08:02:28.
_py_row.py File 3787 bytes April 04 2025 08:02:28.
_py_util.py File 2484 bytes April 04 2025 08:02:28.
base.py File 122901 bytes April 04 2025 08:02:28.
characteristics.py File 4765 bytes April 04 2025 08:02:28.
create.py File 33217 bytes April 04 2025 08:02:28.
cursor.py File 76305 bytes April 04 2025 08:02:28.
default.py File 84705 bytes April 04 2025 08:02:28.
events.py File 37400 bytes April 04 2025 08:02:28.
interfaces.py File 113029 bytes April 04 2025 08:02:28.
mock.py File 4181 bytes April 04 2025 08:02:28.
processors.py File 2379 bytes April 04 2025 08:02:28.
reflection.py File 75383 bytes April 04 2025 08:02:28.
result.py File 77636 bytes April 04 2025 08:02:28.
row.py File 12031 bytes April 04 2025 08:02:28.
strategies.py File 442 bytes April 04 2025 08:02:28.
url.py File 31069 bytes April 04 2025 08:02:28.
util.py File 5682 bytes April 04 2025 08:02:28.

Reading 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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