o Ne@sdZddlZddlZddlZddlmZddlmZddlm Z e Z ej e _ e dddZe d d d Ze d d dZdddZddZddZdS)zUtilities related to disk I/O.N)logging) keras_logging) keras_exportz&keras.utils.enable_interactive_loggingcC dt_dS)zTurn on interactive logging. When interactive logging is enabled, Keras displays logs via stdout. This provides the best experience when using Keras in an interactive environment such as a shell or a notebook. TNINTERACTIVE_LOGGINGenabler r DD:\Projects\ConvertPro\env\Lib\site-packages\keras/utils/io_utils.pyenable_interactive_logging! r z'keras.utils.disable_interactive_loggingcCr)zTurn off interactive logging. When interactive logging is disabled, Keras sends logs to `absl.logging`. This is the best option when using Keras in a non-interactive way, such as running a training or inference job on a server. FNrr r r r disable_interactive_logging,r r z*keras.utils.is_interactive_logging_enabledcCsttdtjS)a8Check if interactive logging is enabled. To switch between writing logs to stdout and `absl.logging`, you may use `keras.utils.enable_interactive_logging()` and `keras.utils.disable_interactie_logging()`. Returns: Boolean (True if interactive logging is enabled and False otherwise). r)getattrrrINTERACTIVE_LOGGING_DEFAULTr r r r is_interactive_logging_enabled7s rTcCsDtr|rtj|dntj|tjdSt|dS)z,Print the message to absl logging or stdout. N)rsysstdoutwriteflushrinfo)messageZ line_breakr r r print_msgIs  rcCst|tjr t|S|S)aConvert `PathLike` objects to their string representation. If given a non-string typed path object, converts it to its string representation. If the object passed to `path` is not among the above, then it is returned unchanged. This allows e.g. passthrough of file objects through this function. Args: path: `PathLike` object that represents a path Returns: A string representation of the path argument, if Python support exists. ) isinstanceosPathLikefspath)pathr r r path_to_stringUs  rcCsPtd|d}|dvrtd}|dvs|dkr"dStddS) zProduces a prompt asking about overwriting a file. Args: filepath: the path to the file to be overwritten. Returns: True if we can proceed with overwrite, False otherwise. z [WARNING] z" already exists - overwrite? [y/n])ynz&Enter "y" (overwrite) or "n" (cancel).r Fz'[TIP] Next time specify overwrite=True!T)inputstriplowerr)filepath overwriter r r ask_to_proceed_with_overwritejs r&)T)__doc__rr threadingZabslrZ keras.utilsrZ tensorflow.python.util.tf_exportrlocalrrrr r rrrr&r r r r s$