WhN.dZddlmZddlZddlmZddlZddlmZm Z m Z m Z m Z ddl mZddlmZddlmZdd lmZeed ed d z dejdfddZeed edd z dd dZdS)!z pickle compat ) annotationsN)Any)CompressionOptionsFilePathReadPickleBufferStorageOptions WriteBuffer) pickle_compat)doc) _shared_docs) get_handlestorage_optionscompression_optionsfilepath_or_buffer)rrinferobjrFilePath | WriteBuffer[bytes] compressionrprotocolintrreturnNonecD|dkr tj}t|d|d|5}|jddvr5|dkr/|jtj||ntj||j|d d d d S#1swxYwYd S) az Pickle (serialize) object to file. Parameters ---------- obj : any object Any python object. filepath_or_buffer : str, path object, or file-like object String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a binary ``write()`` function. .. versionchanged:: 1.0.0 Accept URL. URL has to be of S3 or GCS. {compression_options} .. versionchanged:: 1.4.0 Zstandard support. protocol : int Int which indicates which protocol should be used by the pickler, default HIGHEST_PROTOCOL (see [1], paragraph 12.1.2). The possible values for this parameter depend on the version of Python. For Python 2.x, possible values are 0, 1, 2. For Python>=3.0, 3 is a valid value. For Python >= 3.4, 4 is a valid value. A negative value for the protocol parameter is equivalent to setting its value to HIGHEST_PROTOCOL. {storage_options} .. versionadded:: 1.2.0 .. [1] https://docs.python.org/3/library/pickle.html See Also -------- read_pickle : Load pickled pandas object (or any object) from file. DataFrame.to_hdf : Write DataFrame to an HDF5 file. DataFrame.to_sql : Write DataFrame to a SQL database. DataFrame.to_parquet : Write a DataFrame to the binary parquet format. Examples -------- >>> original_df = pd.DataFrame({{"foo": range(5), "bar": range(5, 10)}}) # doctest: +SKIP >>> original_df # doctest: +SKIP foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9 >>> pd.to_pickle(original_df, "./dummy.pkl") # doctest: +SKIP >>> unpickled_df = pd.read_pickle("./dummy.pkl") # doctest: +SKIP >>> unpickled_df # doctest: +SKIP foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9 rwbFris_textrmethod)bz2xz)rN)pickleHIGHEST_PROTOCOLr rhandlewritedumpsdump)rrrrrhandless V/var/www/html/movieo_spanner_bot/venv/lib/python3.11/site-packages/pandas/io/pickle.py to_pickler)sN!||*  '    @   x (M 9 9h!mm N cH!E!E!E F F F F KW^h ? ? ? ?@@@@@@@@@@@@@@@@@@sA!BBBdecompression_options)rr*FilePath | ReadPickleBuffercHttttf}t |d|d|5} t jd5t jdttj |j cdddcdddS#1swxYwYn2#|$r*tj |j dcYcdddSwxYwn7#t$r*tj |j d cYcdddSwxYw ddddS#1swxYwYdS) a Load pickled pandas object (or any object) from file. .. warning:: Loading pickled data received from untrusted sources can be unsafe. See `here `__. Parameters ---------- filepath_or_buffer : str, path object, or file-like object String, path object (implementing ``os.PathLike[str]``), or file-like object implementing a binary ``readlines()`` function. .. versionchanged:: 1.0.0 Accept URL. URL is not limited to S3 and GCS. {decompression_options} .. versionchanged:: 1.4.0 Zstandard support. {storage_options} .. versionadded:: 1.2.0 Returns ------- unpickled : same type as object stored in file See Also -------- DataFrame.to_pickle : Pickle (serialize) DataFrame object to file. Series.to_pickle : Pickle (serialize) Series object to file. read_hdf : Read HDF5 file into a DataFrame. read_sql : Read SQL query or database table into a DataFrame. read_parquet : Load a parquet object, returning a DataFrame. Notes ----- read_pickle is only guaranteed to be backwards compatible to pandas 0.20.3 provided the object was serialized with to_pickle. Examples -------- >>> original_df = pd.DataFrame( ... {{"foo": range(5), "bar": range(5, 10)}} ... ) # doctest: +SKIP >>> original_df # doctest: +SKIP foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9 >>> pd.to_pickle(original_df, "./dummy.pkl") # doctest: +SKIP >>> unpickled_df = pd.read_pickle("./dummy.pkl") # doctest: +SKIP >>> unpickled_df # doctest: +SKIP foo bar 0 0 5 1 1 6 2 2 7 3 3 8 4 4 9 rbFrT)recordignoreN)encodingzlatin-1)AttributeError ImportErrorModuleNotFoundError TypeErrorr warningscatch_warnings simplefilterWarningr!loadr#pcUnicodeDecodeError)rrr excs_to_catchr's r( read_pickler=ss(T$[2EyQM  '    ?   ? >,D99977)(G<<<!;w~667777777????????777777777! > > >ww~=====/????????& > 7" ? ? ?77>I>>> > >5????????0 ?7??????????????????svDB3B: BB BB BC C?C CCD%D7DDDDD) rrrrrrrrrrrr)rN)rr+rrrr)__doc__ __future__rr!typingrr5pandas._typingrrrrr pandas.compatr r:pandas.util._decoratorsr pandas.core.shared_docsr pandas.io.commonr r"r)r=r(rHs"""""" .-----''''''000000'''''' !23$%:;>RR'.+&* U@U@U@U@ U@p !23&'>?BVV '.&*a?a?a?a? a?a?a?rG