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Additional handlers for the logging package for Python. The core package is
based on PEP 282 and comments thereto in comp.lang.python, and influenced by
Apache's log4j system.

Should work under Python versions >= 1.5.2, except that source line
information is not available unless 'sys._getframe()' is.

Copyright (C) 2001-2007 Vinay Sajip. All Rights Reserved.

To use, simply 'import logging' and log away!
iNi<#i=#i>#i?#iii<tBaseRotatingHandlercBs#eZdZddZdZRS(s
    Base class for handlers that rotate log files at a certain point.
    Not meant to be instantiated directly.  Instead, use RotatingFileHandler
    or TimedRotatingFileHandler.
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        Use the specified filename for streamed logging
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        Emit a record.

        Output the record to the file, catering for rollover as described
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    Handler for logging to a set of files, which switches from one file
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        Open the specified file and use it as the stream for logging.

        By default, the file grows indefinitely. You can specify particular
        values of maxBytes and backupCount to allow the file to rollover at
        a predetermined size.

        Rollover occurs whenever the current log file is nearly maxBytes in
        length. If backupCount is >= 1, the system will successively create
        new files with the same pathname as the base file, but with extensions
        ".1", ".2" etc. appended to it. For example, with a backupCount of 5
        and a base file name of "app.log", you would get "app.log",
        "app.log.1", "app.log.2", ... through to "app.log.5". The file being
        written to is always "app.log" - when it gets filled up, it is closed
        and renamed to "app.log.1", and if files "app.log.1", "app.log.2" etc.
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        If maxBytes is zero, rollover never occurs.
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        Do a rollover, as described in __init__().
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        Determine if rollover should occur.

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    Handler for logging to a file, rotating the log file at certain timed
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        Determine if rollover should occur

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        do a rollover; in this case, a date/time stamp is appended to the filename
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    A handler class which writes logging records, in pickle format, to
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        Try to create a socket, using an exponential backoff with
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        Send a pickled string to the socket.

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        Pickles the record in binary format with a length prefix, and
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        Handle an error during logging.

        An error has occurred during logging. Most likely cause -
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        Emit a record.

        Pickles the record and writes it to the socket in binary format.
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    A handler class which writes logging records, in pickle format, to
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        This function no longer allows for partial sends which can happen
        when the network is busy - UDP does not guarantee delivery and
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        N(RTRRbtsendtoRRRS(RRO((s,/usr/local/lib/python2.5/logging/handlers.pyRes(RRRRR^Re(((s,/usr/local/lib/python2.5/logging/handlers.pyRts
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        Initialize a handler.

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        Encode the facility and priority. You can pass in strings or
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        Closes the socket.
        N(RRZRRRQ(R((s,/usr/local/lib/python2.5/logging/handlers.pyRvs
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        mapping by lowercasing the logging level name because of locale-
        specific issues (see SF #1524081).
        R(tpriority_maptget(Rt	levelName((s,/usr/local/lib/python2.5/logging/handlers.pytmapPriority~scCs|i|}|i|i|i|i|i|f}yu|ioQy|ii|Wqti	j
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        Emit a record.

        The record is formatted, and then sent to the syslog server. If
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()RRRt	LOG_EMERGt	LOG_ALERTtLOG_CRITtLOG_ERRtLOG_WARNINGt
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        Initialize the handler.

        Initialize the instance with the from and to addresses and subject
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RRQRRRt	TupleTypetmailhosttmailportRtfromaddrRttoaddrstsubject(RRRRRRRRS((s,/usr/local/lib/python2.5/logging/handlers.pyRs	
			
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        Return the current date and time formatted for a MIME header.
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        Emit a record.

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Subject: %s
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RRRRRRRRRR(((s,/usr/local/lib/python2.5/logging/handlers.pyRs				tNTEventLogHandlercBsJeZdZdddZdZdZdZdZdZ	RS(	s
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        (RRtlevelnoR	(RR((s,/usr/local/lib/python2.5/logging/handlers.pytgetEventType/sc	Cs|ioyb|i|}|i|}|i|}|i|}|ii|i||||gWqttfj
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RRRRRRRRRR(((s,/usr/local/lib/python2.5/logging/handlers.pyRs		
			
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        Default implementation of mapping the log record into a dict
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RRRR RRR,RtdatatsepR#((s,/usr/local/lib/python2.5/logging/handlers.pyRvs8		

	 
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  A handler class which buffers logging records in memory. Whenever each
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        Append the record. If shouldFlush() tells us to, call flush() to process
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    A handler class which buffers logging records in memory, periodically
    flushing them to a target handler. Flushing occurs whenever the buffer
    is full, or when an event of a certain severity or greater is seen.
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        Initialize the handler with the buffer size, the level at which
        flushing should occur and an optional target.

        Note that without a target being set either here or via setTarget(),
        a MemoryHandler is no use to anyone!
        N(R+Rt
flushLevelttarget(RR,R2R3((s,/usr/local/lib/python2.5/logging/handlers.pyRs	cCs)t|i|ijp|i|ijS(sP
        Check for buffer full or a record at the flushLevel or higher.
        (R)R-R,RR2(RR((s,/usr/local/lib/python2.5/logging/handlers.pyR.scCs
||_dS(s:
        Set the target handler for this handler.
        N(R3(RR3((s,/usr/local/lib/python2.5/logging/handlers.pyt	setTargetscCs?|io1x!|iD]}|ii|qWg|_ndS(s
        For a MemoryHandler, flushing means just sending the buffered
        records to the target, if there is one. Override if you want
        different behaviour.
        N(R3R-thandle(RR((s,/usr/local/lib/python2.5/logging/handlers.pyR0s


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        Flush, set the target to None and lose the buffer.
        N(R0RR3R+R(R((s,/usr/local/lib/python2.5/logging/handlers.pyRs
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