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        Gets the connection context's timeout in seconds for each attempt
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        this option to None, which would signal the connector to wait indefinitely
        till the read operation is completed or stopped abruptly.

        Args:
            timeout: Accepts a non-negative integer which is the timeout to be set
                     in seconds or None.
        Raises:
            InterfaceError: If a positive integer or None is not passed via the
                            timeout parameter.
        Examples:
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        to None, which would signal the connector to wait indefinitely till the write
        operation is completed or stopped abruptly.

        Args:
            timeout: Accepts a non-negative integer which is the timeout to be set in
                     seconds or None.
        Raises:
            InterfaceError: If a positive integer or None is not passed via the
                            timeout parameter.
        Examples:
            The following will set the write_timeout of the current
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Disconnects from the MySQL server.

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        Examples:
            ```
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        you expect the MySQL server to be down for maintenance or when you
        expect the network to be temporary unavailable.

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Reports whether the connection to MySQL Server is available or not.

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��y
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        When the connection is not available, an InterfaceError is raised.

        Args:
            reconnect: If True, one or more `attempts` are made to try to reconnect
                       to the MySQL server, and these options are forwarded to the
                       `reconnect()` method.
            attempts: Number of attempts to make when reconnecting.
            delay: Use it (defined in seconds) if you want to wait between each retry.

        Raises:
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        It is important to call this method after every transaction that modifies
        data for tables that use transactional storage engines.

        Examples:
            ```
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            >>> cnx.commit()
            ```
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��y
)a^	Instantiates and returns a cursor.

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        a dictionary or a tuple.

        Dictionary based cursors are available with buffered output
        but not raw.

        It is possible to also give a custom cursor through the `cursor_class`
        parameter, but it needs to be a subclass of `mysql.connector.cursor.MySQLCursor`
        or `mysql.connector.cursor_cext.CMySQLCursor` according to the type of
        connection that's being used.

        **NOTE: The parameters read and write timeouts in cursors are unsupported for
        C-Extension.**

        Args:
            buffered: If `True`, the cursor fetches all rows from the server after an
                      operation is executed. This is useful when queries return small
                      result sets.
            raw: If `True`, the cursor skips the conversion from MySQL data types to
                 Python types when fetching rows. A raw cursor is usually used to get
                 better performance or when you want to do the conversion yourself.
            prepared: If `True`, the cursor is used for executing prepared statements.
            cursor_class: It can be used to pass a class to use for instantiating a
                          new cursor. It must be a subclass of `cursor.MySQLCursor`
                          or `cursor_cext.CMySQLCursor` according to the type of
                          connection that's being used.
            dictionary: If `True`, the cursor returns rows as dictionaries.
            read_timeout: A positive integer representing timeout in seconds for each
                          attempt to read any data from the server.
            write_timeout: A positive integer representing timeout in seconds for each
                           attempt to send any data to the server.

        Returns:
            cursor: A cursor object.

        Raises:
            ProgrammingError: When `cursor_class` is not a subclass of
                              `MySQLCursorAbstract`.
            ValueError: When cursor is not available.
            InterfaceError: When read_timeout or write_timeout is not a positive integer.
        NrQ)r��buffered�raw�prepared�cursor_class�
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        transactional storage engines such as `InnoDB`.

        Examples:
            ```
            >>> stmt = "INSERT INTO employees (first_name) VALUES (%s), (%s)"
            >>> cursor.execute(stmt, ('Jane', 'Mary'))
            >>> cnx.rollback()
            ```
        NrQr�s
 rS�rollbackz MySQLConnectionAbstract.rollbackr
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        READ WRITE.

        Args:
            consistent_snapshot: If `True`, Connector/Python sends WITH CONSISTENT
                                 SNAPSHOT with the statement. MySQL ignores this for
                                 isolation levels for which that option does not apply.
            isolation_level: Permitted values are 'READ UNCOMMITTED', 'READ COMMITTED',
                             'REPEATABLE READ', and 'SERIALIZABLE'. If the value is
                             `None`, no isolation level is sent, so the default level
                             applies.
            readonly: Can be `True` to start the transaction in READ ONLY mode or
                      `False` to start it in READ WRITE mode. If readonly is omitted,
                      the server's default access mode is used.

        Raises:
            ProgrammingError: When a transaction is already in progress
                              and when `ValueError` when `isolation_level`
                              specifies an Unknown level.

        Examples:
            For example, to start a transaction with isolation level `SERIALIZABLE`,
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            ```
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            >>> cnx.start_transaction(isolation_level='SERIALIZABLE')
            ```
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        It is possible to provide a sequence of variables and their values to
        be set after clearing the session. This is possible for both user
        defined variables and session variables.

        Args:
            user_variables: User variables map.
            session_variables: System variables map.

        Raises:
            OperationalError: If not connected.
            InternalError: If there are unread results and InterfaceError on errors.

        Examples:
            ```
            >>> user_variables = {'var1': '1', 'var2': '10'}
            >>> session_variables = {'wait_timeout': 100000, 'sql_mode': 'TRADITIONAL'}
            >>> cnx.reset_session(user_variables, session_variables)
            ```
        NrQ)r��user_variables�session_variabless   rS�
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                     `binary=True`).
            raw: If `True`, the converter class does not convert the parsed values.
            prep_stmt: Prepared statement object (only meaningful for
                       C-ext connections).

        Returns:
            tuple: The row as a tuple (RowType) containing byte objects, or `None` when
                   no more rows are available. (at position 0). EOF packet
                   information as a dictionary containing `status_flag` and
                   `warning_count` (at position 1).

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                    connections).
            columns: Field types (only meaningful for pure Python connections and when
                     `binary=True`).
            raw: If `True`, the converter class does not convert the parsed values.
            prep_stmt: Prepared statement object (only meaningful for
                       C-ext connections).

        Returns:
            tuple: A list of tuples (RowType) containing the row data as byte objects,
                   or an empty list when no rows are available (at position 0).
                   EOF packet information as a dictionary containing `status_flag`
                   and `warning_count` (at position 1).

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Changes the current database.

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            database: Database to become the default (current) database.

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        was executed. If the query is a `SELECT` statement, the result contains
        information about columns. Other statements return a dictionary containing
        OK or EOF packet information.

        Errors received from the MySQL server are raised as exceptions.

        **Arguments `raw`, `buffered` and `raw_as_string` are only meaningful
        for `C-ext` connections**.

        Args:
            query: Statement to be executed.
            raw: If `True`, the cursor skips the conversion from MySQL data types to
                 Python types when fetching rows. A raw cursor is usually used to get
                 better performance or when you want to do the conversion yourself. If
                 not provided, take its value from the MySQL instance.
            buffered: If `True`, the cursor fetches all rows from the server after an
                      operation is executed. This is useful when queries return small
                      result sets.
            raw_as_string: Is a special argument for Python v2 and returns `str`
                           instead of `bytearray`.

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        the statements with semicolons.

        Args:
            statements: Statements to be executed separated with semicolons.

        Returns:
            generator: Generator object with `Result` or `OK packet` information.

        Examples:
            The following example shows how to iterate through the results after
            sending multiple statements:
            ```
            >>> statement = 'SELECT 1; INSERT INTO t1 VALUES (); SELECT 2'
            >>> for result in cnx.cmd_query_iter(statement):
            >>> if 'columns' in result:
            >>>     columns = result['columns']
            >>>     rows = cnx.get_rows()
            >>> else:
            >>>     # do something useful with INSERT result
            ```
        NrQ)r��
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        Typical usage example:
            ```
           RefreshOption = mysql.connector.RefreshOption
           refresh = RefreshOption.LOG | RefreshOption.INFO
           cnx.cmd_refresh(refresh)
           ```

        Args:
            options: Bitmask value constructed using constants from
                     the `constants.RefreshOption` class.

        Returns:
            A dictionary representing the OK packet got as response when executing
            the command.

        Raises:
            ValueError: If an invalid command `refresh options` is provided.
            DeprecationWarning: If one of the options is deprecated for the server you
                                are connecting to.
        NrQ)r��optionss  rS�cmd_refreshz#MySQLConnectionAbstract.cmd_refreshCr
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Closes the current connection with the server.

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        the packet that was sent is returned.

        Returns:
            packet_sent: `None` when using a C-ext connection,
                         else the actual packet that was sent.
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        NrQ)r��
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Sends the statistics command to the MySQL Server.

        Returns:
            dict: Stats packet information about the MySQL server including uptime
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        Args:
            mysql_pid: Process ID to be killed.

        Returns:
            ok_packet: Dictionary containing the OK packet information.

        Examples:
            ```
            >>> cnx.cmd_process_kill(123)  # using cmd_process_kill()
            >>> cnx.cmd_query('KILL 123')  # alternatively (recommended)
            ```
        NrQ)r��	mysql_pids  rS�cmd_process_killz(MySQLConnectionAbstract.cmd_process_kill�r
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        Args:
            username: New account's username.
            password: New account's password.
            database: Database to become the default (current) database.
            charset: Client charset (see [1]), only the lower 8-bits.
            password1: New account's password factor 1 - it's used instead
                       of `password` if set (higher precedence).
            password2: New account's password factor 2.
            password3: New account's password factor 3.
            oci_config_file: OCI configuration file location (path-like string).
            oci_config_profile: OCI configuration profile location (path-like string).
            openid_token_file: OpenID Connect token file location (path-like string).

        Returns:
            ok_packet: Dictionary containing the OK packet information.

        Examples:
            ```
            >>> cnx.cmd_change_user(username='', password='', database='', charset=33)
            ```

        References:
            [1]: https://dev.mysql.com/doc/dev/mysql-server/latest/                page_protocol_basic_character_set.html#a_protocol_character_set
        NrQ)r�r
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                           is returned when using a pure Python connection, and a
                           `_mysql_connector.MySQLPrepStmt` object is returned when
                           using a C-ext connection.

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            [1]: https://dev.mysql.com/doc/dev/mysql-server/latest/
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        NrQ)r��	statementrU
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                          connection, or a `_mysql_connector.MySQLPrepStmt` instance
                          as returned by `CMySQLConnection.cmd_stmt_prepare` when
                          using a C-ext connection.
            data: Data sequence against which the prepared statement will be executed.
            parameters: Currently unused!
            flags: see [1].

        Returns:
            dictionary or tuple: `OK packet` or `Result` information.

        Notes:
            The previous method's signature applies to pure Python, the C-ext has
            the following signature:

            ```
            def cmd_stmt_execute(
                self, statement_id: CMySQLPrepStmt, *args: Any
            ) -> Optional[Union[Dict[str, Any], Tuple]]:
            ```

            You should expect a similar returned value type, however, the input
            is different. In this case `data` must be provided as positional
            arguments instead of a sequence.

        References:
            [1]: https://dev.mysql.com/doc/dev/mysql-server/latest/                page_protocol_com_stmt_execute.html
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                          as returned by `CMySQLConnection.cmd_stmt_prepare` when
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                          connection, or a `_mysql_connector.MySQLPrepStmt` instance
                          as returned by `CMySQLConnection.cmd_stmt_prepare` when
                          using a C-ext connection.
            param_id: The parameter to supply data to [1].
            data: The actual payload to send [1].

        Returns:
            total_sent: The total number of bytes that were sent is returned.

        References:
            [1]: https://dev.mysql.com/doc/dev/mysql-server/latest/                page_protocol_com_stmt_send_long_data.html
        NrQ)r�rS�param_idrTrU
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                          connection, or a `_mysql_connector.MySQLPrepStmt` instance
                          as returned by `CMySQLConnection.cmd_stmt_prepare` when
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        NrQrWs   rS�cmd_stmt_resetz&MySQLConnectionAbstract.cmd_stmt_resetU	r
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��y
)aNResets the session state without re-authenticating.

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        , the `reset_session()` method can be used instead - that method resets the
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        till the read operation is completed or stopped abruptly.
        r�
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        for the server to reply back before raising an ReadTimeoutError. We can set
        this option to None, which would signal the connector to wait indefinitely
        till the read operation is completed or stopped abruptly.

        Args:
            timeout: Accepts a non-negative integer which is the timeout to be set
                     in seconds or None.
        Raises:
            InterfaceError: If a positive integer or None is not passed via the
                            timeout parameter.
        Examples:
            The following will set the read_timeout of the current session to
            5 seconds:
            ```
            >>> cnx = mysql.connector.connect(user='scott')
            >>> cur = cnx.cursor()
            >>> cur.read_timeout = 5
            ```
        Nrr�
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        Sets or updates the connection context's timeout in seconds for each attempt
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        write to the server before raising an WriteTimeoutError. We can set this option
        to None, which would signal the connector to wait indefinitely till the write
        operation is completed or stopped abruptly.

        Args:
            timeout: Accepts a non-negative integer which is the timeout to be set in
                     seconds or None.
        Raises:
            InterfaceError: If a positive integer or None is not passed via the
                            timeout parameter.
        Examples:
            The following will set the write_timeout of the current
            session to 5 seconds:
            ```
            >>> cnx = mysql.connector.connect(user='scott')
            >>> cur = cnx.cursor()
            >>> cur.write_timeout = 5
            ```
        Nrr�
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��y
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        Args:
            procname: The stored procedure name.
            args: Sequence of parameters - it must contain one entry for each argument
                  that the procedure expects.

        Returns:
            Does not return a value, but a result set will be available when the
            CALL-statement executes successfully.

            `callproc()` returns a modified copy of the input sequence. `Input`
            parameters are left untouched. `Output` and `input/output` parameters may
            be replaced with new values.

            Result sets produced by the stored procedure are automatically fetched and
            stored as `MySQLCursorBuffered` instances.

            The value returned (if any) is a `Dict` when cursor's subclass is
            `MySQLCursorDict`, else a `Tuple` (RowType).

        Raises:
            InterfaceError: When something is wrong

        Examples:
            1) Defining the Stored Routine in MySQL:
            ```
            CREATE PROCEDURE multiply(IN pFac1 INT, IN pFac2 INT, OUT pProd INT)
            BEGIN
            SET pProd := pFac1 * pFac2;
            END;
            ```

            2) Executing in Python:
            ```
            >>> args = (5, 6, 0) # 0 is to hold value of the OUT parameter pProd
            >>> cursor.callproc('multiply', args)
            ('5', '6', 30L)
            ```

        References:
            [1]: https://dev.mysql.com/doc/connector-python/en/                connector-python-api-mysqlcursor-callproc.html
        NrQ)r��procname�argss   rS�callproczMySQLCursorAbstract.callproc
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��y
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Close the cursor.

        Use close() when you are done using a cursor. This method closes the cursor,
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        original connection object.

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        NrQr�s
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��y
)a>Executes the given operation (a MySQL script) substituting any markers
        with the given parameters.

        For example, getting all rows where id is 5:
        ```
        cursor.execute("SELECT * FROM t1 WHERE id = %s", (5,))
        ```

        If you want each single statement in the script to be related
        to its corresponding result set, you should enable the `map_results`
        switch - see workflow example below.

        If the given script uses `DELIMITER` statements (which are not recognized
        by MySQL Server), the connector will parse such statements to remove them
        from the script and substitute delimiters as needed. This pre-processing
        may cause a performance hit when using long scripts. Note that when enabling
        `map_results`, the script is expected to use `DELIMITER` statements in order
        to split the script into multiple query strings.

        The following characters are currently not supported by the connector in
        `DELIMITER` statements: `"`, `'`, #`, `/*` and `*/`.

        If warnings were generated, and `connection.get_warnings` is
        `True`, then `self.warnings` will be a list containing these
        warnings.

        Args:
            operation: Operation to be executed - it can be a single or a
                       multi statement.
            params: The parameters found in the tuple or dictionary params are bound
                    to the variables in the operation. Specify variables using `%s` or
                    `%(name)s` parameter style (that is, using format or pyformat style).
            map_results: It is `False` by default. If `True`, it allows you to know what
                        statement caused what result set - see workflow example below.
                        Only relevant when working with multi statements.

        Returns:
            `None`.

        Example (basic usage):
            The following example runs many single statements in a
            single go and loads the corresponding result sets
            sequentially:

            ```
            sql_operation = '''
            SET @a=1, @b='2024-02-01';
            SELECT @a, LENGTH('hello'), @b;
            SELECT @@version;
            '''
            with cnx.cursor() as cur:
                cur.execute(sql_operation)

                result_set = cur.fetchall()
                # do something with result set
                ...

                while cur.nextset():
                    result_set = cur.fetchall()
                    # do something with result set
                    ...
            ```

            In case the operation is a single statement, you may skip the
            looping section as no more result sets are to be expected.

        Example (statement-result mapping):
            The following example runs many single statements in a
            single go and loads the corresponding result sets
            sequentially. Additionally, each result set gets related
            to the statement that caused it:

            ```
            sql_operation = '''
            SET @a=1, @b='2024-02-01';
            SELECT @a, LENGTH('hello'), @b;
            SELECT @@version;
            '''
            with cnx.cursor() as cur:
                cur.execute(sql_operation, map_results=True)

                # statement 1 is `SET @a=1, @b='2024-02-01'`,
                # result set from statement 1 is `[]` - aka, an empty set.
                result_set, statement = cur.fetchall(), cur.statement
                # do something with result set
                ...

                # 1st call to `nextset()` will laod the result set from statement 2,
                # statement 2 is `SELECT @a, LENGTH('hello'), @b`,
                # result set from statement 2 is `[(1, 5, '2024-02-01')]`.
                #
                # 2nd call to `nextset()` will laod the result set from statement 3,
                # statement 3 is `SELECT @@version`,
                # result set from statement 3 is `[('9.0.0-labs-mrs-8',)]`.
                #
                # 3rd call to `nextset()` will return `None` as there are no more sets,
                # leading to the end of the consumption process of result sets.
                while cur.nextset():
                    result_set, statement = cur.fetchall(), cur.statement
                    # do something with result set
                    ...
            ```

            In case the mapping is disabled (`map_results=False`), all result
            sets get related to the same statement, which is the one provided
            when calling `execute()`. In other words, the property `statement`
            will not change as result sets are consumed, which contrasts with
            the case in which the mapping is enabled. Note that we offer a
            new fetch-related API command which can be leveraged as a shortcut
            for consuming result sets - it is equivalent to the previous
            workflow.

            ```
            sql_operation = '''
            SET @a=1, @b='2024-02-01';
            SELECT @a, LENGTH('hello'), @b;
            SELECT @@version;
            '''
            with cnx.cursor() as cur:
                cur.execute(sql_operation, map_results=True)
                for statement, result_set in cur.fetchsets():
                    # do something with result set
            ```
        NrQ)r��	operation�params�map_resultss    rS�executezMySQLCursorAbstract.executeM
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)a�Executes the given operation multiple times.

        The `executemany()` method will execute the operation iterating
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        `INSERT` statements are optimized by batching the data, that is
        using the MySQL multiple rows syntax.

        Args:
            operation: Operation to be executed.
            seq_params: Parameters to be used when executing the operation.

        Returns:
            Results are discarded. If they are needed, consider looping over data
            using the `execute()` method.

        Examples:
            An optimization is applied for inserts: The data values given by the
            parameter sequences are batched using multiple-row syntax. The following
            example inserts three records:

            ```
            >>> data = [
            >>> ('Jane', date(2005, 2, 12)),
            >>> ('Joe', date(2006, 5, 23)),
            >>> ('John', date(2010, 10, 3)),
            >>> ]
            >>> stmt = "INSERT INTO employees (first_name, hire_date) VALUES (%s, %s)"
            >>> cursor.executemany(stmt, data)
            ```

            For the preceding example, the INSERT statement sent to MySQL is:
            ```
            >>> INSERT INTO employees (first_name, hire_date)
            >>> VALUES ('Jane', '2005-02-12'), ('Joe', '2006-05-23'), ('John', '2010-10-03')
            ```
        NrQ)r�r��
seq_paramss   rS�executemanyzMySQLCursorAbstract.executemany�
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        Examples:
            ```
            >>> cursor.execute("SELECT * FROM employees")
            >>> row = cursor.fetchone()
            >>> while row is not None:
            >>>     print(row)
            >>>     row = cursor.fetchone()
            ```
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 rS�fetchonezMySQLCursorAbstract.fetchone
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Fetches the next set of rows of a query result.

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        NrQ)r��sizes  rS�	fetchmanyzMySQLCursorAbstract.fetchmanyr
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Fetches all (or all remaining) rows of a query result set.

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        Examples:
            ```
            >>> cursor.execute("SELECT * FROM employees ORDER BY emp_no")
            >>> head_rows = cursor.fetchmany(size=2)
            >>> remaining_rows = cursor.fetchall()
            ```
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            execution workflow - see example below.

        Example:
            Consider the following example where multiple statements are executed in one
            go:

            ```
                sql_operation = '''
                SET @a=1, @b='2024-02-01';
                SELECT @a, LENGTH('hello'), @b;
                SELECT @@version;
                '''
                with cnx.cursor() as cur:
                    cur.execute(sql_operation, map_results=True)

                    result_set, statement = cur.fetchall(), cur.statement
                    # do something with result set
                    ...

                    while cur.nextset():
                        result_set, statement = cur.fetchall(), cur.statement
                        # do something with result set
                        ...
            ```

            In this case, as an alternative to loading the result sets with `nextset()`
            in combination with a `while` loop, you can use `fetchsets()` which is
            equivalent to the previous approach:

            ```
                sql_operation = '''
                SET @a=1, @b='2024-02-01';
                SELECT @a, LENGTH('hello'), @b;
                SELECT @@version;
                '''
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result_sets   rS�	fetchsetszMySQLCursorAbstract.fetchsets2s�����r
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            ```
            >>> cursor.callproc('myproc')
            ()
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            ...
            [(1,)]
            [(2,)]
            ```
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            `True` and subsequent calls to the `fetch*()` methods will return
            rows from the next result set.

        Example:
            The following example runs many single statements in a
            single go and loads the corresponding result sets
            sequentially:

            ```
            sql_operation = '''
            SET @a=1, @b='2024-02-01';
            SELECT @a, LENGTH('hello'), @b;
            SELECT @@version;
            '''
            with cnx.cursor() as cur:
                cur.execute(sql_operation)

                result_set = cur.fetchall()
                # do something with result set
                ...

                while cur.nextset():
                    result_set = cur.fetchall()
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            ```

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            None,
            None,
            null_ok,
            column_flags)  # Addition to PEP-249 specs
        ```

        See [1] for more details and examples.

        Returns:
            A list of tuples.

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            ```
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 rS�warningszMySQLCursorAbstract.warnings�r�rRc


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