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ðŸ“ ..
ðŸ“„ __init__.py(3.8 KB)
ðŸ“ __pycache__
ðŸ“„ _psycopg_common.py(5.56 KB)
ðŸ“„ array.py(13.53 KB)
ðŸ“„ asyncpg.py(40.32 KB)
ðŸ“„ base.py(175.46 KB)
ðŸ“„ dml.py(11.84 KB)
ðŸ“„ ext.py(15.94 KB)
ðŸ“„ hstore.py(11.65 KB)
ðŸ“„ json.py(12.57 KB)
ðŸ“„ named_types.py(17.16 KB)
ðŸ“„ operators.py(2.74 KB)
ðŸ“„ pg8000.py(18.2 KB)
ðŸ“„ pg_catalog.py(9.04 KB)
ðŸ“„ provision.py(5.63 KB)
ðŸ“„ psycopg.py(22.78 KB)
ðŸ“„ psycopg2.py(31.28 KB)
ðŸ“„ psycopg2cffi.py(1.71 KB)
ðŸ“„ ranges.py(32.21 KB)
ðŸ“„ types.py(7.45 KB)

Editing: psycopg2cffi.py

# dialects/postgresql/psycopg2cffi.py
# Copyright (C) 2005-2025 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
# mypy: ignore-errors

r"""
.. dialect:: postgresql+psycopg2cffi
    :name: psycopg2cffi
    :dbapi: psycopg2cffi
    :connectstring: postgresql+psycopg2cffi://user:password@host:port/dbname[?key=value&key=value...]
    :url: https://pypi.org/project/psycopg2cffi/

``psycopg2cffi`` is an adaptation of ``psycopg2``, using CFFI for the C
layer. This makes it suitable for use in e.g. PyPy. Documentation
is as per ``psycopg2``.

.. seealso::

:mod:`sqlalchemy.dialects.postgresql.psycopg2`

"""  # noqa
from .psycopg2 import PGDialect_psycopg2
from ... import util

class PGDialect_psycopg2cffi(PGDialect_psycopg2):
    driver = "psycopg2cffi"
    supports_unicode_statements = True
    supports_statement_cache = True

# psycopg2cffi's first release is 2.5.0, but reports
    # __version__ as 2.4.4.  Subsequent releases seem to have
    # fixed this.

FEATURE_VERSION_MAP = dict(
        native_json=(2, 4, 4),
        native_jsonb=(2, 7, 1),
        sane_multi_rowcount=(2, 4, 4),
        array_oid=(2, 4, 4),
        hstore_adapter=(2, 4, 4),
    )

@classmethod
    def import_dbapi(cls):
        return __import__("psycopg2cffi")

@util.memoized_property
    def _psycopg2_extensions(cls):
        root = __import__("psycopg2cffi", fromlist=["extensions"])
        return root.extensions

@util.memoized_property
    def _psycopg2_extras(cls):
        root = __import__("psycopg2cffi", fromlist=["extras"])
        return root.extras

dialect = PGDialect_psycopg2cffi

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