B x\ @s*dZddlmZddlmZdddZdS) z# Read SAS sas7bdat or xport files. )compat)_stringify_pathNFc Cs|dkrXd}t|}t|tjs(t||}|dr@d}n|drPd}ntd|dkrdd lm}|||||d } n2|dkrdd l m } | ||||d } ntd |s|r| S| } | | S) a Read SAS files stored as either XPORT or SAS7BDAT format files. Parameters ---------- filepath_or_buffer : string or file-like object Path to the SAS file. format : string {'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 : string, 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. Returns ------- DataFrame if iterator=False and chunksize=None, else SAS7BDATReader or XportReader NzVIf this is a buffer object rather than a string name, you must specify a format stringz.xptZxportz .sas7bdatZsas7bdatz"unable to infer format of SAS filer) XportReader)indexencoding chunksize)SAS7BDATReaderzunknown SAS format) r isinstancerZ string_types ValueErrorlowerendswithZpandas.io.sas.sas_xportrZpandas.io.sas.sas7bdatrreadclose) Zfilepath_or_bufferformatrrriteratorZbuffer_error_msgfnamerreaderrdatar6lib/python3.7/site-packages/pandas/io/sas/sasreader.pyread_sas s6         r)NNNNF)__doc__ZpandasrZpandas.io.commonrrrrrrs