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csv.cpython-35.pyc
|g ? @ s d Z d d l Z d d l m Z m Z m Z m Z m Z m Z m Z m Z m Z m Z m Z m Z m Z m Z d d l m Z d d l m Z d d d d d d d d d d d d d d d d d d d d g Z Gd d d Z Gd d d e Z e d e Gd d d e Z e d e Gd d d e Z e d e Gd! d d Z Gd" d d Z y e Wn e k re Z Yn XGd# d d Z d S)$z+ csv.py - read/write/investigate CSV files N)Error __version__writerreaderregister_dialectunregister_dialect get_dialect list_dialectsfield_size_limit QUOTE_MINIMAL QUOTE_ALLQUOTE_NONNUMERIC QUOTE_NONE__doc__)Dialect)StringIOr r r r r r r excel excel_tabr r r r r r Snifferr r DictReader DictWriterc @ sd e Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d Z d d Z d d Z d S) r zDescribe a CSV dialect. This must be subclassed (see csv.excel). Valid attributes are: delimiter, quotechar, escapechar, doublequote, skipinitialspace, lineterminator, quoting. FNc C s& | j t k r d | _ | j d S)NT) __class__r _valid _validate)self r /usr/lib/python3.5/csv.py__init__) s zDialect.__init__c C sL y t | Wn7 t k rG } z t t | WYd d } ~ Xn Xd S)N)_Dialect TypeErrorr str)r er r r r . s zDialect._validate)__name__ __module__ __qualname__r _namer delimiter quotecharZ escapechar doublequoteskipinitialspacelineterminatorquotingr r r r r r r s c @ s: e Z d Z d Z d Z d Z d Z d Z d Z e Z d S)r z;Describe the usual properties of Excel-generated CSV files.,"TFz N) r# r$ r% r r' r( r) r* r+ r r, r r r r r 5 s c @ s e Z d Z d Z d Z d S)r zEDescribe the usual properties of Excel-generated TAB-delimited files. N)r# r$ r% r r' r r r r r ? s z excel-tabc @ s: e Z d Z d Z d Z d Z d Z d Z d Z e Z d S) unix_dialectz:Describe the usual properties of Unix-generated CSV files.r- r. TF N) r# r$ r% r r' r( r) r* r+ r r, r r r r r0 D s r0 Zunixc @ sg e Z d Z d d d d d d Z d d Z e d d Z e j d d Z d d Z d S) r Nr c O sI | | _ | | _ | | _ t | | | | | _ | | _ d | _ d S)Nr ) _fieldnamesrestkeyrestvalr dialectline_num)r f fieldnamesr3 r4 r5 argskwdsr r r r P s zDictReader.__init__c C s | S)Nr )r r r r __iter__Y s zDictReader.__iter__c C sP | j d k r: y t | j | _ Wn t k r9 Yn X| j j | _ | j S)N)r2 nextr StopIterationr6 )r r r r r8 \ s zDictReader.fieldnamesc C s | | _ d S)N)r2 )r valuer r r r8 f s c C s | j d k r | j t | j } | j j | _ x | g k rU t | j } q7 Wt t | j | } t | j } t | } | | k r | | d | | j <n7 | | k r x( | j | d D] } | j | | <q W| S)Nr ) r6 r8 r< r dictziplenr3 r4 )r rowdZlfZlrkeyr r r __next__j s zDictReader.__next__) r# r$ r% r r; propertyr8 setterrE r r r r r O s c @ sU e Z d Z d d d d d Z d d Z d d Z d d Z d d Z d S)r r raiser c O sY | | _ | | _ | j d k r4 t d | | | _ t | | | | | _ d S)NrH ignorez-extrasaction (%s) must be 'raise' or 'ignore')zraisezignore)r8 r4 lower ValueError extrasactionr )r r7 r8 r4 rL r5 r9 r: r r r r s zDictWriter.__init__c C s, t t | j | j } | j | d S)N)r? r@ r8 writerow)r headerr r r writeheader s zDictWriter.writeheaderc sq j d k rT f d d D } | rT t d d j d d | D f d d j D S) NrH c s% g | ] } | j k r | q Sr )r8 ).0k)r r r <listcomp> s z,DictWriter._dict_to_list.<locals>.<listcomp>z(dict contains fields not in fieldnames: z, c S s g | ] } t | q Sr )repr)rP xr r r rR s c 3 s$ | ] } j | j Vq d S)N)getr4 )rP rD )rowdictr r r <genexpr> s z+DictWriter._dict_to_list.<locals>.<genexpr>)rL rK joinr8 )r rV Z wrong_fieldsr )rV r r _dict_to_list s zDictWriter._dict_to_listc C s | j j | j | S)N)r rM rY )r rV r r r rM s zDictWriter.writerowc C s | j j t | j | S)N)r writerowsmaprY )r Zrowdictsr r r rZ s zDictWriter.writerowsN)r# r$ r% r rO rY rM rZ r r r r r s c @ sU e Z d Z d Z d d Z d d d Z d d Z d d Z d d Z d S) r ze "Sniffs" the format of a CSV file (i.e. delimiter, quotechar) Returns a Dialect object. c C s d d d d d g | _ d S)Nr- r/ ; :) preferred)r r r r r s zSniffer.__init__Nc C s | j | | \ } } } } | s< | j | | \ } } | sN t d Gd d d t } | | _ | | _ | p d | _ | | _ | S)zI Returns a dialect (or None) corresponding to the sample z Could not determine delimiterc @ s" e Z d Z d Z d Z e Z d S)z Sniffer.sniff.<locals>.dialectZsniffedz N)r# r$ r% r& r+ r r, r r r r r5 s r5 r. )_guess_quote_and_delimiter_guess_delimiterr r r) r' r( r* )r sample delimitersr( r) r' r* r5 r r r sniff s z Sniffer.sniffc C s g } x@ d D]8 } t j | t j t j B } | j | } | r Pq W| sS d Si } i } d } | j } x | D] } | d d } | | } | r | j | d d | | <y | d d } | | } Wn t k r wu Yn X| r | d k s| | k r | j | d d | | <y | d d } Wn t k rHwu Yn X| | ru | d 7} qu Wt | d | j } | rt | d | j } | | | k } | d k rd } n d } d } t j d d t j | d | i t j } | j | rd } n d } | | | | f S)a Looks for text enclosed between two identical quotes (the probable quotechar) which are preceded and followed by the same character (the probable delimiter). 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. F(?P<delim>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?P=delim)C(?:^| )(?P<quote>["']).*?(?P=quote)(?P<delim>[^\w "'])(?P<space> ?)D(?P<delim>>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?:$| )*(?:^| )(?P<quote>["']).*?(?P=quote)(?:$| )r FNr Zquote delimZspacerD r1 z]((%(delim)s)|^)\W*%(quote)s[^%(delim)s\n]*%(quote)s[^%(delim)s\n]*%(quote)s\W*((%(delim)s)|$)T)re rf rg rh )r FNr ) recompileDOTALL MULTILINEfindall groupindexrU KeyErrormaxescapesearch)r datarc ZmatchesZrestrZregexpZquotesdelimsZspacesrp mnrD r( rj r* Z dq_regexpr) r r r r` s` % z"Sniffer._guess_quote_and_delimiterc C s t t d | j d } d d t d D } t d t | } d } i } i } i } d t | t | } } x| t | k r | d 7} xn | | | D]\ } xS | D]K } | j | i } | j | } | j | d d | | <| | | <q Wq Wx | j D] } t | | j } t | d k rb| d d d k rbq t | d k rt | d d d | | <| j | | | | d | | d t d d | D f | | <q | d | | <q W| j } t | | } d } d } x t | d k r| | k rxj | D]b \ } } | d d k r=| d d k r=| d | | k r=| d k s| | k r=| | | <q=W| d 8} qWt | d k r t | j d } | d j | | d j d | k } | | f S| } | | 7} q W| s+d St | d k rxW | j D]L } | | j k rG| d j | | d j d | k } | | f SqGWd d | j D } | j | d d } | d j | | d j d | k } | | f S)a 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. Nr1 c S s g | ] } t | q Sr )chr)rP cr r r rR , s z,Sniffer._guess_delimiter.<locals>.<listcomp> r ri rD c S s | d S)Nri r )rT r r r <lambda>F s z*Sniffer._guess_delimiter.<locals>.<lambda>c s s | ] } | d Vq d S)ri Nr )rP itemr r r rW K s z+Sniffer._guess_delimiter.<locals>.<genexpr>g ?g?g{Gz?z%c r c S s" g | ] \ } } | | f q Sr r )rP rQ vr r r rR u s )r r )listfiltersplitrangeminrA rU countkeysitemsrr removesumfloatr_ sort)r ru rc asciiZ chunkLengthZ iterationZ charFrequencyZmodesrv startendlinecharZ metaFrequencyZfreqr ZmodeListZtotalZ consistencyZ thresholdrQ r rj r* rC r r r ra st & $ ! zSniffer._guess_delimiterc C s t t | | j | } t | } t | } i } x t | D] } d | | <qI Wd } x | D] } | d k r} P| d 7} t | | k r qj x t | j D] } xU t t t g D]4 } y | | | PWq t t f k r Yq Xq Wt | | } | | | k r | | d k r:| | | <q | | =q Wqj Wd } x | j D] \ } } t | t d k rt | | | k r| d 7} q| d 8} q\y | | | Wn" t t f k r| d 7} Yq\X| d 8} q\W| d k S)Nr ri )r r rd r< rA r r r intr complexrK OverflowErrorr typer ) r rb ZrdrrN columnsZ columnTypesiZcheckedrB colZthisTypeZ hasHeaderZcolTyper r r has_header~ sJ zSniffer.has_header) r# r$ r% r r rd r` ra r r r r r r s L g) r rk Z_csvr r r r r r r r r r r r r r r ior __all__r r r0 r r r NameErrorr r r r r r <module> s. ^ 2