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Ë â{|jìBãóH—dZddlZddlZddlmZmZmZmZmZm Z m Z m Z m Z m Z mZmZmZmZmZmZddlmZddlmZgd¢ZGd„d«ZGd „d e«Zed e«Gd „d e«Zed e«Gd„de«Zede«Gd„d«ZGd„d«ZGd„d«Zy)z+ csv.py - read/write/investigate CSV files éN)ÚErrorÚ __version__ÚwriterÚreaderÚregister_dialectÚunregister_dialectÚ get_dialectÚ list_dialectsÚfield_size_limitÚ QUOTE_MINIMALÚ QUOTE_ALLÚQUOTE_NONNUMERICÚ QUOTE_NONEÚ QUOTE_STRINGSÚ QUOTE_NOTNULLÚ__doc__)ÚDialect)ÚStringIO)r r rrrrrrrÚexcelÚ excel_tabr rrrr r ÚSnifferrrÚ DictReaderÚ DictWriterÚ unix_dialectcó@—eZdZdZdZdZdZdZdZdZ dZ dZ dZ d„Z d„Zy)rzÄDescribe a CSV dialect. This must be subclassed (see csv.excel). Valid attributes are: delimiter, quotechar, escapechar, doublequote, skipinitialspace, lineterminator, quoting. 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For example: ,'some text', The quote with the most wins, same with the delimiter. If there is no quotechar the delimiter can't be determined this way. z#(?:(?P=quote){2}|(?!(?P=quote)).)*+)zH(?P[^\w\n"\'])(?P ?)(?P["\'])%s(?P=quote)(?P=delim)zF(?:^|\n)(?P["\'])%s(?P=quote)(?P[^\w\n"\'])(?P ?)zF(?P[^\w\n"\'])(?P ?)(?P["\'])%s(?P=quote)(?:$|\n)z,(?:^|\n)(?P["\'])%s(?P=quote)(?:$|\n))rFNrrÚquoteéÚdelimÚspace©r^r?rFzg(?:(?<=%(delim)s)|^)%(space)s%(quote)s((?:%(quote)s%(quote)s|[^%(quote)s]++)*+)%(quote)s(?:%(delim)s|$)r…z *+)r–r”r—éc3ó,•K—|] }‰|dv–—Œ y­w©r•Nr7)rtÚmÚ dquotechars €r#rvz5Sniffer._guess_quote_and_delimiter..#s#øèø€ðAÙ'? !ð)¨A¨a©DÔ0Ù'?ùsƒ) ÚreÚcompileÚDOTALLÚ MULTILINEÚfindallÚ groupindexrsÚKeyErrorÚmaxÚescapeÚanyÚfinditer)r"Údatar‘ÚbodyÚmatchesÚrestrÚregexpÚquotesÚdelimsÚspacesr£rœÚnr^r1r–r4r3Ú dq_regexpr�s @r#rŽz"Sniffer._guess_quote_and_delimiterÕs#ø€ð6ˆØˆóGˆEô—Z‘Z ¨¡ ¬b¯i©i¼"¿,¹,Ñ.FÓGˆFØ—n‘n TÓ*ˆGÚÙðGñà'؈؈؈Ø×&Ñ&ˆ ÛˆAؘ7Ñ# aÑ'ˆAØ�A‘$ˆCÙØ$Ÿj™j¨¨aÓ0°1Ñ4��s‘ ð Ø˜wÑ'¨!Ñ+�ؘ‘d�ñ˜ Ð*¨c°ZÑ.?Ø$Ÿj™j¨¨aÓ0°1Ñ4��s‘ ð Ø˜wÑ'¨!Ñ+�ð�‹tؘ!‘ ‘ð#ô&˜ F§J¡JÔ/ˆ á ܘ F§J¡JÔ/ˆEØ% e™}°Ñ6РؘŠ}Ø‘ðˆEØ Ð ð ˆ Ù ÜŸ ™ ð0ô!#§ ¡ ¨%Ó 0¸9à).°#ª¡¸2ñ?ñ?ô —L‘Ló"ˆIð# Q™ˆJÜóAØ'0×'9Ñ'9¸$Ô'?óAóAˆKð˜;¨Ð/?Ð@Ð@øôQò Úð ûô ò Úð ús$ Fà F*Æ F'Æ&F'Æ* F7Æ6F7có¸—ttd|jd«««}td«D�cgc] }t |«‘Œ}}t dt |««}d}i}i}i} d|} } | t |«k�r |dz }|| | D]I} |D]B} |j| i«}| j| «}|j|d«dz||<||| <ŒDŒK|j«D]š} t|| j««}t |«dk(r |dddk(rŒ9t |«dkDrLt|d„¬«|| <|j|| «|| d|| dtd „|D««z f|| <Œ“|d|| <Œœ|j«}tt ||zt |«««}d }d }t | «dk(rR||k\rM|D]/\}}|ddkDsŒ|ddkDsŒ|d|z |k\sŒ$|�||vsŒ+|| |<Œ1|d z}t | «dk(r||k\rŒMt | «dk(rLt| j««d}|dj|«|djd |z«k(}||fS| } | |z } | t |«kr�Œ | syt | «dkDrU|jD]F}|| j«vsŒ|dj|«|djd |z«k(}||fcS| j«D��cgc] \}}||f‘Œ }}}|j!«|dd}|dj|«|djd |z«k(}||fScc}wcc}}w)a½ The delimiter /should/ occur the same number of times on each row. However, due to malformed data, it may not. We don't want an all or nothing approach, so we allow for small variations in this number. 1) build a table of the frequency of each character on every line. 2) build a table of frequencies of this frequency (meta-frequency?), e.g. 'x occurred 5 times in 10 rows, 6 times in 1000 rows, 7 times in 2 rows' 3) use the mode of the meta-frequency to determine the /expected/ frequency for that character 4) find out how often the character actually meets that goal 5) the character that best meets its goal is the delimiter For performance reasons, the data is evaluated in chunks, so it can try and evaluate the smallest portion of the data possible, evaluating additional chunks as necessary. 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