o ?e) @sdZddlZddlZddlZddlZddlZ ddl Z ddlm Z ddlm Z ddlmZddlmZddlmZddlZddlmZdaeZe fd d ZdXd d Zejjd kreejjdkredYddZnejjd krwejjdkrwdZddZnddZedddZedgdddZedgdddZedgdd d!Z ed"gdd#d$Z!ed%gdd&d'Z"ed(gdd)d*Z#ed+gdd,d-Z$ed.e d/ed0ed1e d2ia%dej&dZ'dZ(ia)ed3gdd4d5Z*ed6gdd7d8Z+ed9gdd:d;Z,dgdd?d@Z.edAgddBdCZ/edDgddEdFZ0dGdHZ1d[dIdJZ2edKgddLdMZ3edNgddOdPZ4dQdRZ5e2Z(edSgd6e7d2edTgd6e7d/edUgd6e7d.edVgd6e7d1edWgd6e7d0dS)\zLogging utilities.N)DEBUG)ERROR)FATAL)INFO)WARN) tf_exportcCs~~dS)zEmpty helper method.N) error_msglevelrrf/home/www/facesmatcher.com/pyenv/lib/python3.10/site-packages/tensorflow/python/platform/tf_logging.py error_log(sr cCsBt|}|jj}|j}|r|j}|j|kr||fS|j}|sdS)zGReturns a code and frame object for the lowest non-logging stack frame.NN)_sys _getframef_code co_filenamef_back)offsetfZour_filecoderrr _get_caller-s  rFcCsDtd\}}d}|rdt}|r|j|j|j|fSddd|fSN (unknown file)r(unknown function)rjoin _traceback format_stackrf_linenoco_name) stack_info stacklevelrframesinforrr _logger_find_caller@  r)cCsDtd\}}d}|rdt}|r|j|j|j|fSddd|fSrr)r%rr'r(rrr r)Kr*cCs$td\}}|r|j|j|jfSdS)Nr)rrr)rrr#r$)rr'rrr r)Us  get_loggercCstrtStzXtrtWtStd}t|_tjsXd}zt j r'd}Wn t y5t j j }Ynw|rA|tt j}nt j}t|}|ttjd|||atWtStw)aReturn TF logger instance. Returns: An instance of the Python logging library Logger. See Python documentation (https://docs.python.org/3/library/logging.html) for detailed API. Below is only a summary. The logger has 5 levels of logging from the most serious to the least: 1. FATAL 2. ERROR 3. WARN 4. INFO 5. DEBUG The logger has the following methods, based on these logging levels: 1. fatal(msg, *args, **kwargs) 2. error(msg, *args, **kwargs) 3. warn(msg, *args, **kwargs) 4. info(msg, *args, **kwargs) 5. debug(msg, *args, **kwargs) The `msg` can contain string formatting. An example of logging at the `ERROR` level using string formating is: >>> tf.get_logger().error("The value %d is invalid.", 3) You can also specify the logging verbosity. In this case, the WARN level log will not be emitted: >>> tf.get_logger().setLevel(ERROR) >>> tf.get_logger().warn("This is a warning.") Z tensorflowFTN)_logger _logger_lockacquirerelease_logging getLoggerr) findCallerhandlersrps1AttributeErrorflags interactivesetLevelrstdoutstderr StreamHandler setFormatter Formatter BASIC_FORMAT addHandler)loggerZ _interactiveZ_logging_targetZ_handlerrrr r,]s8) &       z logging.log)v1cO tj||g|Ri|dSNr,logr msgargskwargsrrr rF rFz logging.debugcOtj|g|Ri|dSrD)r,debugrHrIrJrrr rMrMz logging.errorcOrLrD)r,errorrNrrr rPrOrPz logging.fatalcOrLrD)r,fatalrNrrr rQrOrQz logging.infocOrLrD)r,inforNrrr rRrOrRz logging.warncOrLrDr,warningrNrrr warnrOrUzlogging.warningcOrLrDrSrNrrr rTrOrTrrrrrzlogging.TaskLevelStatusMessagecCs t|dSrD)rP)rHrrr TaskLevelStatusMessages rVz logging.flushcCstrD)NotImplementedErrorrrrr flushsrXz logging.vlogcOrCrDrErGrrr vlogrKrYcCsdt|dt|<t|S)zWrapper for _log_counter_per_token. Args: token: The token for which to look up the count. Returns: The number of times this function has been called with *token* as an argument (starting at 0) r)_log_counter_per_tokenget)tokenrrr _GetNextLogCountPerTokens r^zlogging.log_every_ncGs(tt}t|||| g|RdS)aOLog 'msg % args' at level 'level' once per 'n' times. Logs the 1st call, (N+1)st call, (2N+1)st call, etc. Not threadsafe. Args: level: The level at which to log. msg: The message to be logged. n: The number of times this should be called before it is logged. *args: The args to be substituted into the msg. Nr^_GetFileAndLinelog_ifr rHnrIcountrrr log_every_n s rezlogging.log_first_ncGs&tt}t||||kg|RdS)aLog 'msg % args' at level 'level' only first 'n' times. Not threadsafe. Args: level: The level at which to log. msg: The message to be logged. n: The number of times this should be called before it is logged. *args: The args to be substituted into the msg. Nr_rbrrr log_first_ns rfzlogging.log_ifcGs|r t||g|RdSdS)zALog 'msg % args' at level 'level' only if condition is fulfilled.N)rY)r rH conditionrIrrr ra+sracCst\}}|s dS|j|jfS)z3Returns (filename, linenumber) for the stack frame.)z r)rrr#)rrrrr r`2s  r`c Cs|pt}t|}td|d}|pt\}}tj|}d} |tvr,t|d} d| |d|d|d|d |d |t ||f } | S) z3Assemble a logline prefix using the google2 format.g.Ag?Irz*%c%02d%02d %02d:%02d:%02d.%06d %5d %s:%d] rr+r r) _timetime localtimeintr`_ospathbasename _level_names_get_thread_id) r timestampZ file_and_linenowZ now_tupleZnow_microsecondfilenamelinerpZseveritysrrr google2_log_prefix:s*     rxzlogging.get_verbositycCs tS)z0Return how much logging output will be produced.)r,getEffectiveLevelrrrr get_verbosity\s rzzlogging.set_verbositycCst|dS)z4Sets the threshold for what messages will be logged.N)r,r9)vrrr set_verbositybsr|cCst}|t@S)zGGet id of current thread, suitable for logging as an unsigned quantity.)_thread get_ident_THREAD_ID_MASK) thread_idrrr rrhsrrz logging.DEBUGz logging.ERRORz logging.FATALz logging.INFOz logging.WARN)r )Fr)Fr)8__doc__loggingr1osrnsysrr}rkrj tracebackr!rrrrr threadingZ tensorflow.python.util.tf_exportrr-Lockr.r r version_infomajorminorr)r,rFrMrPrQrRrUrTrqmaxsizerZ _log_prefixr[rVrXrYr^rerfrar`rxrzr|rrZexport_constant__name__rrrr s             X                            "