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diff --git a/venv/lib/python3.11/site-packages/sqlalchemy/dialects/sqlite/pysqlite.py b/venv/lib/python3.11/site-packages/sqlalchemy/dialects/sqlite/pysqlite.py new file mode 100644 index 0000000..f39baf3 --- /dev/null +++ b/venv/lib/python3.11/site-packages/sqlalchemy/dialects/sqlite/pysqlite.py @@ -0,0 +1,756 @@ +# dialects/sqlite/pysqlite.py +# Copyright (C) 2005-2024 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:: sqlite+pysqlite + :name: pysqlite + :dbapi: sqlite3 + :connectstring: sqlite+pysqlite:///file_path + :url: https://docs.python.org/library/sqlite3.html + + Note that ``pysqlite`` is the same driver as the ``sqlite3`` + module included with the Python distribution. + +Driver +------ + +The ``sqlite3`` Python DBAPI is standard on all modern Python versions; +for cPython and Pypy, no additional installation is necessary. + + +Connect Strings +--------------- + +The file specification for the SQLite database is taken as the "database" +portion of the URL. Note that the format of a SQLAlchemy url is:: + + driver://user:pass@host/database + +This means that the actual filename to be used starts with the characters to +the **right** of the third slash. So connecting to a relative filepath +looks like:: + + # relative path + e = create_engine('sqlite:///path/to/database.db') + +An absolute path, which is denoted by starting with a slash, means you +need **four** slashes:: + + # absolute path + e = create_engine('sqlite:////path/to/database.db') + +To use a Windows path, regular drive specifications and backslashes can be +used. Double backslashes are probably needed:: + + # absolute path on Windows + e = create_engine('sqlite:///C:\\path\\to\\database.db') + +To use sqlite ``:memory:`` database specify it as the filename using +``sqlite://:memory:``. It's also the default if no filepath is +present, specifying only ``sqlite://`` and nothing else:: + + # in-memory database + e = create_engine('sqlite://:memory:') + # also in-memory database + e2 = create_engine('sqlite://') + +.. _pysqlite_uri_connections: + +URI Connections +^^^^^^^^^^^^^^^ + +Modern versions of SQLite support an alternative system of connecting using a +`driver level URI <https://www.sqlite.org/uri.html>`_, which has the advantage +that additional driver-level arguments can be passed including options such as +"read only". The Python sqlite3 driver supports this mode under modern Python +3 versions. The SQLAlchemy pysqlite driver supports this mode of use by +specifying "uri=true" in the URL query string. The SQLite-level "URI" is kept +as the "database" portion of the SQLAlchemy url (that is, following a slash):: + + e = create_engine("sqlite:///file:path/to/database?mode=ro&uri=true") + +.. note:: The "uri=true" parameter must appear in the **query string** + of the URL. It will not currently work as expected if it is only + present in the :paramref:`_sa.create_engine.connect_args` + parameter dictionary. + +The logic reconciles the simultaneous presence of SQLAlchemy's query string and +SQLite's query string by separating out the parameters that belong to the +Python sqlite3 driver vs. those that belong to the SQLite URI. This is +achieved through the use of a fixed list of parameters known to be accepted by +the Python side of the driver. For example, to include a URL that indicates +the Python sqlite3 "timeout" and "check_same_thread" parameters, along with the +SQLite "mode" and "nolock" parameters, they can all be passed together on the +query string:: + + e = create_engine( + "sqlite:///file:path/to/database?" + "check_same_thread=true&timeout=10&mode=ro&nolock=1&uri=true" + ) + +Above, the pysqlite / sqlite3 DBAPI would be passed arguments as:: + + sqlite3.connect( + "file:path/to/database?mode=ro&nolock=1", + check_same_thread=True, timeout=10, uri=True + ) + +Regarding future parameters added to either the Python or native drivers. new +parameter names added to the SQLite URI scheme should be automatically +accommodated by this scheme. New parameter names added to the Python driver +side can be accommodated by specifying them in the +:paramref:`_sa.create_engine.connect_args` dictionary, +until dialect support is +added by SQLAlchemy. For the less likely case that the native SQLite driver +adds a new parameter name that overlaps with one of the existing, known Python +driver parameters (such as "timeout" perhaps), SQLAlchemy's dialect would +require adjustment for the URL scheme to continue to support this. + +As is always the case for all SQLAlchemy dialects, the entire "URL" process +can be bypassed in :func:`_sa.create_engine` through the use of the +:paramref:`_sa.create_engine.creator` +parameter which allows for a custom callable +that creates a Python sqlite3 driver level connection directly. + +.. versionadded:: 1.3.9 + +.. seealso:: + + `Uniform Resource Identifiers <https://www.sqlite.org/uri.html>`_ - in + the SQLite documentation + +.. _pysqlite_regexp: + +Regular Expression Support +--------------------------- + +.. versionadded:: 1.4 + +Support for the :meth:`_sql.ColumnOperators.regexp_match` operator is provided +using Python's re.search_ function. SQLite itself does not include a working +regular expression operator; instead, it includes a non-implemented placeholder +operator ``REGEXP`` that calls a user-defined function that must be provided. + +SQLAlchemy's implementation makes use of the pysqlite create_function_ hook +as follows:: + + + def regexp(a, b): + return re.search(a, b) is not None + + sqlite_connection.create_function( + "regexp", 2, regexp, + ) + +There is currently no support for regular expression flags as a separate +argument, as these are not supported by SQLite's REGEXP operator, however these +may be included inline within the regular expression string. See `Python regular expressions`_ for +details. + +.. seealso:: + + `Python regular expressions`_: Documentation for Python's regular expression syntax. + +.. _create_function: https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.create_function + +.. _re.search: https://docs.python.org/3/library/re.html#re.search + +.. _Python regular expressions: https://docs.python.org/3/library/re.html#re.search + + + +Compatibility with sqlite3 "native" date and datetime types +----------------------------------------------------------- + +The pysqlite driver includes the sqlite3.PARSE_DECLTYPES and +sqlite3.PARSE_COLNAMES options, which have the effect of any column +or expression explicitly cast as "date" or "timestamp" will be converted +to a Python date or datetime object. The date and datetime types provided +with the pysqlite dialect are not currently compatible with these options, +since they render the ISO date/datetime including microseconds, which +pysqlite's driver does not. Additionally, SQLAlchemy does not at +this time automatically render the "cast" syntax required for the +freestanding functions "current_timestamp" and "current_date" to return +datetime/date types natively. Unfortunately, pysqlite +does not provide the standard DBAPI types in ``cursor.description``, +leaving SQLAlchemy with no way to detect these types on the fly +without expensive per-row type checks. + +Keeping in mind that pysqlite's parsing option is not recommended, +nor should be necessary, for use with SQLAlchemy, usage of PARSE_DECLTYPES +can be forced if one configures "native_datetime=True" on create_engine():: + + engine = create_engine('sqlite://', + connect_args={'detect_types': + sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES}, + native_datetime=True + ) + +With this flag enabled, the DATE and TIMESTAMP types (but note - not the +DATETIME or TIME types...confused yet ?) will not perform any bind parameter +or result processing. Execution of "func.current_date()" will return a string. +"func.current_timestamp()" is registered as returning a DATETIME type in +SQLAlchemy, so this function still receives SQLAlchemy-level result +processing. + +.. _pysqlite_threading_pooling: + +Threading/Pooling Behavior +--------------------------- + +The ``sqlite3`` DBAPI by default prohibits the use of a particular connection +in a thread which is not the one in which it was created. As SQLite has +matured, it's behavior under multiple threads has improved, and even includes +options for memory only databases to be used in multiple threads. + +The thread prohibition is known as "check same thread" and may be controlled +using the ``sqlite3`` parameter ``check_same_thread``, which will disable or +enable this check. SQLAlchemy's default behavior here is to set +``check_same_thread`` to ``False`` automatically whenever a file-based database +is in use, to establish compatibility with the default pool class +:class:`.QueuePool`. + +The SQLAlchemy ``pysqlite`` DBAPI establishes the connection pool differently +based on the kind of SQLite database that's requested: + +* When a ``:memory:`` SQLite database is specified, the dialect by default + will use :class:`.SingletonThreadPool`. This pool maintains a single + connection per thread, so that all access to the engine within the current + thread use the same ``:memory:`` database - other threads would access a + different ``:memory:`` database. The ``check_same_thread`` parameter + defaults to ``True``. +* When a file-based database is specified, the dialect will use + :class:`.QueuePool` as the source of connections. at the same time, + the ``check_same_thread`` flag is set to False by default unless overridden. + + .. versionchanged:: 2.0 + + SQLite file database engines now use :class:`.QueuePool` by default. + Previously, :class:`.NullPool` were used. The :class:`.NullPool` class + may be used by specifying it via the + :paramref:`_sa.create_engine.poolclass` parameter. + +Disabling Connection Pooling for File Databases +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Pooling may be disabled for a file based database by specifying the +:class:`.NullPool` implementation for the :func:`_sa.create_engine.poolclass` +parameter:: + + from sqlalchemy import NullPool + engine = create_engine("sqlite:///myfile.db", poolclass=NullPool) + +It's been observed that the :class:`.NullPool` implementation incurs an +extremely small performance overhead for repeated checkouts due to the lack of +connection re-use implemented by :class:`.QueuePool`. However, it still +may be beneficial to use this class if the application is experiencing +issues with files being locked. + +Using a Memory Database in Multiple Threads +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +To use a ``:memory:`` database in a multithreaded scenario, the same +connection object must be shared among threads, since the database exists +only within the scope of that connection. The +:class:`.StaticPool` implementation will maintain a single connection +globally, and the ``check_same_thread`` flag can be passed to Pysqlite +as ``False``:: + + from sqlalchemy.pool import StaticPool + engine = create_engine('sqlite://', + connect_args={'check_same_thread':False}, + poolclass=StaticPool) + +Note that using a ``:memory:`` database in multiple threads requires a recent +version of SQLite. + +Using Temporary Tables with SQLite +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +Due to the way SQLite deals with temporary tables, if you wish to use a +temporary table in a file-based SQLite database across multiple checkouts +from the connection pool, such as when using an ORM :class:`.Session` where +the temporary table should continue to remain after :meth:`.Session.commit` or +:meth:`.Session.rollback` is called, a pool which maintains a single +connection must be used. Use :class:`.SingletonThreadPool` if the scope is +only needed within the current thread, or :class:`.StaticPool` is scope is +needed within multiple threads for this case:: + + # maintain the same connection per thread + from sqlalchemy.pool import SingletonThreadPool + engine = create_engine('sqlite:///mydb.db', + poolclass=SingletonThreadPool) + + + # maintain the same connection across all threads + from sqlalchemy.pool import StaticPool + engine = create_engine('sqlite:///mydb.db', + poolclass=StaticPool) + +Note that :class:`.SingletonThreadPool` should be configured for the number +of threads that are to be used; beyond that number, connections will be +closed out in a non deterministic way. + + +Dealing with Mixed String / Binary Columns +------------------------------------------------------ + +The SQLite database is weakly typed, and as such it is possible when using +binary values, which in Python are represented as ``b'some string'``, that a +particular SQLite database can have data values within different rows where +some of them will be returned as a ``b''`` value by the Pysqlite driver, and +others will be returned as Python strings, e.g. ``''`` values. This situation +is not known to occur if the SQLAlchemy :class:`.LargeBinary` datatype is used +consistently, however if a particular SQLite database has data that was +inserted using the Pysqlite driver directly, or when using the SQLAlchemy +:class:`.String` type which was later changed to :class:`.LargeBinary`, the +table will not be consistently readable because SQLAlchemy's +:class:`.LargeBinary` datatype does not handle strings so it has no way of +"encoding" a value that is in string format. + +To deal with a SQLite table that has mixed string / binary data in the +same column, use a custom type that will check each row individually:: + + from sqlalchemy import String + from sqlalchemy import TypeDecorator + + class MixedBinary(TypeDecorator): + impl = String + cache_ok = True + + def process_result_value(self, value, dialect): + if isinstance(value, str): + value = bytes(value, 'utf-8') + elif value is not None: + value = bytes(value) + + return value + +Then use the above ``MixedBinary`` datatype in the place where +:class:`.LargeBinary` would normally be used. + +.. _pysqlite_serializable: + +Serializable isolation / Savepoints / Transactional DDL +------------------------------------------------------- + +In the section :ref:`sqlite_concurrency`, we refer to the pysqlite +driver's assortment of issues that prevent several features of SQLite +from working correctly. The pysqlite DBAPI driver has several +long-standing bugs which impact the correctness of its transactional +behavior. In its default mode of operation, SQLite features such as +SERIALIZABLE isolation, transactional DDL, and SAVEPOINT support are +non-functional, and in order to use these features, workarounds must +be taken. + +The issue is essentially that the driver attempts to second-guess the user's +intent, failing to start transactions and sometimes ending them prematurely, in +an effort to minimize the SQLite databases's file locking behavior, even +though SQLite itself uses "shared" locks for read-only activities. + +SQLAlchemy chooses to not alter this behavior by default, as it is the +long-expected behavior of the pysqlite driver; if and when the pysqlite +driver attempts to repair these issues, that will be more of a driver towards +defaults for SQLAlchemy. + +The good news is that with a few events, we can implement transactional +support fully, by disabling pysqlite's feature entirely and emitting BEGIN +ourselves. This is achieved using two event listeners:: + + from sqlalchemy import create_engine, event + + engine = create_engine("sqlite:///myfile.db") + + @event.listens_for(engine, "connect") + def do_connect(dbapi_connection, connection_record): + # disable pysqlite's emitting of the BEGIN statement entirely. + # also stops it from emitting COMMIT before any DDL. + dbapi_connection.isolation_level = None + + @event.listens_for(engine, "begin") + def do_begin(conn): + # emit our own BEGIN + conn.exec_driver_sql("BEGIN") + +.. warning:: When using the above recipe, it is advised to not use the + :paramref:`.Connection.execution_options.isolation_level` setting on + :class:`_engine.Connection` and :func:`_sa.create_engine` + with the SQLite driver, + as this function necessarily will also alter the ".isolation_level" setting. + + +Above, we intercept a new pysqlite connection and disable any transactional +integration. Then, at the point at which SQLAlchemy knows that transaction +scope is to begin, we emit ``"BEGIN"`` ourselves. + +When we take control of ``"BEGIN"``, we can also control directly SQLite's +locking modes, introduced at +`BEGIN TRANSACTION <https://sqlite.org/lang_transaction.html>`_, +by adding the desired locking mode to our ``"BEGIN"``:: + + @event.listens_for(engine, "begin") + def do_begin(conn): + conn.exec_driver_sql("BEGIN EXCLUSIVE") + +.. seealso:: + + `BEGIN TRANSACTION <https://sqlite.org/lang_transaction.html>`_ - + on the SQLite site + + `sqlite3 SELECT does not BEGIN a transaction <https://bugs.python.org/issue9924>`_ - + on the Python bug tracker + + `sqlite3 module breaks transactions and potentially corrupts data <https://bugs.python.org/issue10740>`_ - + on the Python bug tracker + +.. _pysqlite_udfs: + +User-Defined Functions +---------------------- + +pysqlite supports a `create_function() <https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.create_function>`_ +method that allows us to create our own user-defined functions (UDFs) in Python and use them directly in SQLite queries. +These functions are registered with a specific DBAPI Connection. + +SQLAlchemy uses connection pooling with file-based SQLite databases, so we need to ensure that the UDF is attached to the +connection when it is created. That is accomplished with an event listener:: + + from sqlalchemy import create_engine + from sqlalchemy import event + from sqlalchemy import text + + + def udf(): + return "udf-ok" + + + engine = create_engine("sqlite:///./db_file") + + + @event.listens_for(engine, "connect") + def connect(conn, rec): + conn.create_function("udf", 0, udf) + + + for i in range(5): + with engine.connect() as conn: + print(conn.scalar(text("SELECT UDF()"))) + + +""" # noqa + +import math +import os +import re + +from .base import DATE +from .base import DATETIME +from .base import SQLiteDialect +from ... import exc +from ... import pool +from ... import types as sqltypes +from ... import util + + +class _SQLite_pysqliteTimeStamp(DATETIME): + def bind_processor(self, dialect): + if dialect.native_datetime: + return None + else: + return DATETIME.bind_processor(self, dialect) + + def result_processor(self, dialect, coltype): + if dialect.native_datetime: + return None + else: + return DATETIME.result_processor(self, dialect, coltype) + + +class _SQLite_pysqliteDate(DATE): + def bind_processor(self, dialect): + if dialect.native_datetime: + return None + else: + return DATE.bind_processor(self, dialect) + + def result_processor(self, dialect, coltype): + if dialect.native_datetime: + return None + else: + return DATE.result_processor(self, dialect, coltype) + + +class SQLiteDialect_pysqlite(SQLiteDialect): + default_paramstyle = "qmark" + supports_statement_cache = True + returns_native_bytes = True + + colspecs = util.update_copy( + SQLiteDialect.colspecs, + { + sqltypes.Date: _SQLite_pysqliteDate, + sqltypes.TIMESTAMP: _SQLite_pysqliteTimeStamp, + }, + ) + + description_encoding = None + + driver = "pysqlite" + + @classmethod + def import_dbapi(cls): + from sqlite3 import dbapi2 as sqlite + + return sqlite + + @classmethod + def _is_url_file_db(cls, url): + if (url.database and url.database != ":memory:") and ( + url.query.get("mode", None) != "memory" + ): + return True + else: + return False + + @classmethod + def get_pool_class(cls, url): + if cls._is_url_file_db(url): + return pool.QueuePool + else: + return pool.SingletonThreadPool + + def _get_server_version_info(self, connection): + return self.dbapi.sqlite_version_info + + _isolation_lookup = SQLiteDialect._isolation_lookup.union( + { + "AUTOCOMMIT": None, + } + ) + + def set_isolation_level(self, dbapi_connection, level): + if level == "AUTOCOMMIT": + dbapi_connection.isolation_level = None + else: + dbapi_connection.isolation_level = "" + return super().set_isolation_level(dbapi_connection, level) + + def on_connect(self): + def regexp(a, b): + if b is None: + return None + return re.search(a, b) is not None + + if util.py38 and self._get_server_version_info(None) >= (3, 9): + # sqlite must be greater than 3.8.3 for deterministic=True + # https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.create_function + # the check is more conservative since there were still issues + # with following 3.8 sqlite versions + create_func_kw = {"deterministic": True} + else: + create_func_kw = {} + + def set_regexp(dbapi_connection): + dbapi_connection.create_function( + "regexp", 2, regexp, **create_func_kw + ) + + def floor_func(dbapi_connection): + # NOTE: floor is optionally present in sqlite 3.35+ , however + # as it is normally non-present we deliver floor() unconditionally + # for now. + # https://www.sqlite.org/lang_mathfunc.html + dbapi_connection.create_function( + "floor", 1, math.floor, **create_func_kw + ) + + fns = [set_regexp, floor_func] + + def connect(conn): + for fn in fns: + fn(conn) + + return connect + + def create_connect_args(self, url): + if url.username or url.password or url.host or url.port: + raise exc.ArgumentError( + "Invalid SQLite URL: %s\n" + "Valid SQLite URL forms are:\n" + " sqlite:///:memory: (or, sqlite://)\n" + " sqlite:///relative/path/to/file.db\n" + " sqlite:////absolute/path/to/file.db" % (url,) + ) + + # theoretically, this list can be augmented, at least as far as + # parameter names accepted by sqlite3/pysqlite, using + # inspect.getfullargspec(). for the moment this seems like overkill + # as these parameters don't change very often, and as always, + # parameters passed to connect_args will always go to the + # sqlite3/pysqlite driver. + pysqlite_args = [ + ("uri", bool), + ("timeout", float), + ("isolation_level", str), + ("detect_types", int), + ("check_same_thread", bool), + ("cached_statements", int), + ] + opts = url.query + pysqlite_opts = {} + for key, type_ in pysqlite_args: + util.coerce_kw_type(opts, key, type_, dest=pysqlite_opts) + + if pysqlite_opts.get("uri", False): + uri_opts = dict(opts) + # here, we are actually separating the parameters that go to + # sqlite3/pysqlite vs. those that go the SQLite URI. What if + # two names conflict? again, this seems to be not the case right + # now, and in the case that new names are added to + # either side which overlap, again the sqlite3/pysqlite parameters + # can be passed through connect_args instead of in the URL. + # If SQLite native URIs add a parameter like "timeout" that + # we already have listed here for the python driver, then we need + # to adjust for that here. + for key, type_ in pysqlite_args: + uri_opts.pop(key, None) + filename = url.database + if uri_opts: + # sorting of keys is for unit test support + filename += "?" + ( + "&".join( + "%s=%s" % (key, uri_opts[key]) + for key in sorted(uri_opts) + ) + ) + else: + filename = url.database or ":memory:" + if filename != ":memory:": + filename = os.path.abspath(filename) + + pysqlite_opts.setdefault( + "check_same_thread", not self._is_url_file_db(url) + ) + + return ([filename], pysqlite_opts) + + def is_disconnect(self, e, connection, cursor): + return isinstance( + e, self.dbapi.ProgrammingError + ) and "Cannot operate on a closed database." in str(e) + + +dialect = SQLiteDialect_pysqlite + + +class _SQLiteDialect_pysqlite_numeric(SQLiteDialect_pysqlite): + """numeric dialect for testing only + + internal use only. This dialect is **NOT** supported by SQLAlchemy + and may change at any time. + + """ + + supports_statement_cache = True + default_paramstyle = "numeric" + driver = "pysqlite_numeric" + + _first_bind = ":1" + _not_in_statement_regexp = None + + def __init__(self, *arg, **kw): + kw.setdefault("paramstyle", "numeric") + super().__init__(*arg, **kw) + + def create_connect_args(self, url): + arg, opts = super().create_connect_args(url) + opts["factory"] = self._fix_sqlite_issue_99953() + return arg, opts + + def _fix_sqlite_issue_99953(self): + import sqlite3 + + first_bind = self._first_bind + if self._not_in_statement_regexp: + nis = self._not_in_statement_regexp + + def _test_sql(sql): + m = nis.search(sql) + assert not m, f"Found {nis.pattern!r} in {sql!r}" + + else: + + def _test_sql(sql): + pass + + def _numeric_param_as_dict(parameters): + if parameters: + assert isinstance(parameters, tuple) + return { + str(idx): value for idx, value in enumerate(parameters, 1) + } + else: + return () + + class SQLiteFix99953Cursor(sqlite3.Cursor): + def execute(self, sql, parameters=()): + _test_sql(sql) + if first_bind in sql: + parameters = _numeric_param_as_dict(parameters) + return super().execute(sql, parameters) + + def executemany(self, sql, parameters): + _test_sql(sql) + if first_bind in sql: + parameters = [ + _numeric_param_as_dict(p) for p in parameters + ] + return super().executemany(sql, parameters) + + class SQLiteFix99953Connection(sqlite3.Connection): + def cursor(self, factory=None): + if factory is None: + factory = SQLiteFix99953Cursor + return super().cursor(factory=factory) + + def execute(self, sql, parameters=()): + _test_sql(sql) + if first_bind in sql: + parameters = _numeric_param_as_dict(parameters) + return super().execute(sql, parameters) + + def executemany(self, sql, parameters): + _test_sql(sql) + if first_bind in sql: + parameters = [ + _numeric_param_as_dict(p) for p in parameters + ] + return super().executemany(sql, parameters) + + return SQLiteFix99953Connection + + +class _SQLiteDialect_pysqlite_dollar(_SQLiteDialect_pysqlite_numeric): + """numeric dialect that uses $ for testing only + + internal use only. This dialect is **NOT** supported by SQLAlchemy + and may change at any time. + + """ + + supports_statement_cache = True + default_paramstyle = "numeric_dollar" + driver = "pysqlite_dollar" + + _first_bind = "$1" + _not_in_statement_regexp = re.compile(r"[^\d]:\d+") + + def __init__(self, *arg, **kw): + kw.setdefault("paramstyle", "numeric_dollar") + super().__init__(*arg, **kw) |