z-euDdZddlmZddlmZmZmZddlmZddl m Z ddl m Z erddl mZddlmZdd lmZmZmZdd lmZGd d eZed d d d d d dd(dZed d d d d d dd)d Zee d!dz"d#d#d#d#d$d%dd*d'Zd#S)+z# Read SAS sas7bdat or xport files. ) annotations) TYPE_CHECKINGProtocoloverload)doc) _shared_docs)stringify_path)Hashable) TracebackType)CompressionOptionsFilePath ReadBuffer) DataFramec4eZdZdZdddZdd Zdd ZddZdS) ReaderBasez> Protocol for XportReader and SAS7BDATReader classes. Nnrows int | NonereturnrcdSN)selfrs 7lib/python3.11/site-packages/pandas/io/sas/sasreader.pyreadzReaderBase.read$ NonecdSrrrs rclosezReaderBase.close'rrc|Srrrs r __enter__zReaderBase.__enter__*s rexc_typetype[BaseException] | None exc_valueBaseException | None tracebackTracebackType | Nonec.|dSr)r )rr#r%r's r__exit__zReaderBase.__exit__-s rr)rrrr)rr)rr)r#r$r%r&r'r(rr)__name__ __module__ __qualname____doc__rr r"r*rrrrrss         rr.)formatindexencoding chunksizeiterator compressionfilepath_or_bufferFilePath | ReadBuffer[bytes]r/ str | Noner0Hashable | Noner1r2intr3boolr4r rcdSrrr5r/r0r1r2r3r4s rread_sasr=6 CrrDataFrame | ReaderBasecdSrrr<s rr=r=Dr>rdecompression_options)rANFinferrc8|vd}t|}t|tst||}d|vrd}n&d|vrd}ntdt ||dkrdd lm} | ||||| } n>|dkrdd lm } | ||||| } ntd |s|r| S| 5| cdddS#1swxYwYdS) a Read SAS files stored as either XPORT or SAS7BDAT format files. 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 ``read()`` function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: ``file://localhost/path/to/table.sas7bdat``. format : str {{'xport', 'sas7bdat'}} or None If None, file format is inferred from file extension. If 'xport' or 'sas7bdat', uses the corresponding format. index : identifier of index column, defaults to None Identifier of column that should be used as index of the DataFrame. encoding : str, default is None Encoding for text data. If None, text data are stored as raw bytes. chunksize : int Read file `chunksize` lines at a time, returns iterator. .. versionchanged:: 1.2 ``TextFileReader`` is a context manager. iterator : bool, defaults to False If True, returns an iterator for reading the file incrementally. .. versionchanged:: 1.2 ``TextFileReader`` is a context manager. {decompression_options} Returns ------- DataFrame if iterator=False and chunksize=None, else SAS7BDATReader or XportReader Examples -------- >>> df = pd.read_sas("sas_data.sas7bdat") # doctest: +SKIP NzVIf this is a buffer object rather than a string name, you must specify a format stringz.xptxportz .sas7bdatsas7bdatz2unable to infer format of SAS file from filename: r) XportReader)r0r1r2r4)SAS7BDATReaderzunknown SAS format) r isinstancestr ValueErrorlowerreprpandas.io.sas.sas_xportrFpandas.io.sas.sas7bdatrGr) r5r/r0r1r2r3r4buffer_error_msgfnamerFreaderrGs rr=r=Rsh~ C ,,>??,c22 /-.. ."((** U??FF E ! !FFRT%[[RR  ||~~  777777 #     : % %999999 #    -...9 {{}}s.DDD)r5r6r/r7r0r8r1r7r2r9r3r:r4r rr)r5r6r/r7r0r8r1r7r2rr3r:r4r rr?)r5r6r/r7r0r8r1r7r2rr3r:r4r rr?)r. __future__rtypingrrrpandas.util._decoratorsrpandas.core.shared_docsrpandas.io.commonr collections.abcr typesr pandas._typingr r rpandasrrr=rrrr[s#""""" ('''''000000++++++ !((((((###### !     .  &)         &)       <(?@CWWXXX! &-aaaaaYXaaar