]j.SrSSKJr SSKJrJr SSKJr SSKJ r J r J r SSK J r SSKJr \ (aSSKJr SS KJr SS KJrJrJr SS KJr \ "S 5"S S\S\55r\ SSSSSSS.SSjj5r\ SSSSSSS.SSjj5r\ "S5SSSSSSS.SSjj5rg)z# Read SAS sas7bdat or xport files. ) annotations)ABCabstractmethod)Iterator) TYPE_CHECKINGSelfoverload) set_module)stringify_path)Hashable) TracebackType)CompressionOptionsFilePath ReadBuffer) DataFramezpandas.api.typingch\rSrSrSr\S S Sjj5r\S Sj5rS SjrS Sjr Sr g) SASReader#z4 Abstract class for XportReader and SAS7BDATReader. NcgN)selfnrowss T/home/mande/repo/quber/.venv/lib/python3.13/site-packages/pandas/io/sas/sasreader.pyreadSASReader.read)s;>cgrrrs rcloseSASReader.close,s rcU$rrrs r __enter__SASReader.__enter__/s rc$UR5 gr)r )rexc_type exc_value tracebacks r__exit__SASReader.__exit__2s rrr)r int | Nonereturnr)r,None)r,r)r&ztype[BaseException] | Noner'zBaseException | Noner(zTracebackType | Noner,r-) __name__ __module__ __qualname____firstlineno____doc__rrr r#r)__static_attributes__rrrrr#sU>>  ,((   rrr.)formatindexencoding chunksizeiterator compressioncgrrfilepath_or_bufferr4r5r6r7r8r9s rread_sasr=;srcgrrr;s rr=r=Hs rpandasNFinfercUc^Sn[U5n[U[5(d [U5eUR 5nSU;aSnOSU;aSnO[SU<35eUR 5S:XaSS KJn U "UUUUUS 9n O0UR 5S:XaSS KJn U "UUUUUS 9n O [S 5eU(dU(aU $U  U R5sSSS5 $!,(df  g=f) 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. iterator : bool, defaults to False If True, returns an iterator for reading the file incrementally. compression : str or dict, default 'infer' For on-the-fly decompression of on-disk data. If 'infer' and 'filepath_or_buffer' is path-like, then detect compression from the following extensions: '.gz', '.bz2', '.zip', '.xz', '.zst', '.tar', '.tar.gz', '.tar.xz' or '.tar.bz2' (otherwise no compression). Set to ``None`` for no decompression. Can also be a dict with key ``'method'`` set to one of {``'zip'``, ``'gzip'``, ``'bz2'``, ``'zstd'``, ``'xz'``, ``'tar'``} and other key-value pairs are forwarded to ``zipfile.ZipFile``, ``gzip.GzipFile``, ``bz2.BZ2File``, ``zstandard.ZstdCompressor``, ``lzma.LZMAFile`` or ``tarfile.TarFile``, respectively. As an example, the following could be passed for faster compression and to create a reproducible gzip archive: ``compression={'method': 'gzip', 'compresslevel': 1, 'mtime': 1}``. Returns ------- DataFrame, SAS7BDATReader, or XportReader DataFrame if iterator=False and chunksize=None, else SAS7BDATReader or XportReader, file format is inferred from file extension. See Also -------- read_csv : Read a comma-separated values (csv) file into a DataFrame. read_excel : Read an Excel file into a pandas DataFrame. read_spss : Read an SPSS file into a pandas DataFrame. read_orc : Load an ORC object into a pandas DataFrame. read_feather : Load a feather-format object into a pandas DataFrame. 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)r5r6r7r9)SAS7BDATReaderzunknown SAS format) r isinstancestr ValueErrorlowerpandas.io.sas.sas_xportrDpandas.io.sas.sas7bdatrEr) r<r4r5r6r7r8r9buffer_error_msgfnamerDreaderrEs rr=r=UsD~ C ,,>?,c22-. ."((* U?F E !FDUIN  ||~ 7 #   : %9 #  -..9 {{} s C## C1)r<FilePath | ReadBuffer[bytes]r4 str | Noner5Hashable | Noner6rPr7intr8boolr9rr,r)r<rOr4rPr5rQr6rPr7r-r8rSr9rr,DataFrame | SASReader)r<rOr4rPr5rQr6rPr7r+r8rSr9rr,rT)r2 __future__rabcrrcollections.abcrtypingrrr pandas.util._decoratorsr pandas.io.commonr r typesr pandas._typingrrrr?rrr=rrrr]s#% /+(# !  %s!.  &) 4          $      &)  4              $        H! &-o4o o  o  o  oo$ooor