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csv.cpython-310.pyc
o }5h> @ s d Z ddlZddlmZmZmZmZmZmZm Z m Z m Z m Z m Z mZmZm Z ddlmZ ddlmZ g dZG dd dZG d d d eZed e G d d d eZed e G dd deZede G dd dZG dd dZze W n ey e ZY nw G dd dZ dS )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)StringIO)r r r r r r r excel excel_tabr r r r r r Snifferr r DictReader DictWriter unix_dialectc @ sD e Zd ZdZdZdZdZdZdZdZ dZ dZ dZ dd Z dd ZdS ) 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 tkrd| _| d S )NT) __class__r _valid _validateself r /usr/lib/python3.10/csv.py__init__* s zDialect.__init__c C s4 zt | W d S ty } ztt|d }~ww N)_Dialect TypeErrorr str)r er r r r / s zDialect._validate)__name__ __module__ __qualname__r _namer delimiter quotechar escapechar doublequoteskipinitialspacelineterminatorquotingr r r r r r r s r c @ ( e Zd ZdZdZdZdZdZdZe Z dS )r z;Describe the usual properties of Excel-generated CSV files.,"TF N) r& r' r( r r* r+ r- r. r/ r r0 r r r r r 6 r c @ s e Zd ZdZdZdS )r zEDescribe the usual properties of Excel-generated TAB-delimited files. N)r& r' r( r r* r r r r r @ s r z excel-tabc @ r1 )r z:Describe the usual properties of Unix-generated CSV files.r2 r3 TF N) r& r' r( r r* r+ r- r. r/ r r0 r r r r r E r5 r unixc @ sD e Zd Z d ddZdd Zedd Zejd d Zd d ZdS ) r Nr c O s< || _ || _|| _t||g|R i || _|| _d| _d S Nr ) _fieldnamesrestkeyrestvalr dialectline_num)r f fieldnamesr; r< r= argskwdsr r r r Q s zDictReader.__init__c C s | S r! r r r r r __iter__Z s zDictReader.__iter__c C s> | j d u rzt| j| _ W n ty Y nw | jj| _| j S r! )r: nextr StopIterationr> r r r r r@ ] s zDictReader.fieldnamesc C s || _ d S r! )r: )r valuer r r r@ g s c C s | j dkr| j t| j}| jj | _ |g kr t| j}|g kstt| j|}t| j}t|}||k r?||d || j< |S ||krR| j|d D ]}| j||< qJ|S r9 ) r> r@ rD r dictziplenr; r< )r rowdlflrkeyr r r __next__k s" zDictReader.__next__)NNNr ) r& r' r( r rC propertyr@ setterrO r r r r r P s r c @ s: e Zd Z dddZdd Zdd Zd d Zd d ZdS )r r raiser c O sH || _ || _| dvrtd| || _t||g|R i || _d S )N)rR ignorez-extrasaction (%s) must be 'raise' or 'ignore')r@ r< lower ValueError extrasactionr )r r? r@ r< rV r= rA rB r r r r s zDictWriter.__init__c C s t t| j| j}| |S r! )rG rH r@ writerow)r headerr r r writeheader s zDictWriter.writeheaderc sN j dkr j }|r tdddd |D fddjD S )NrR z(dict contains fields not in fieldnames: z, c S g | ]}t |qS r )repr).0xr r r <listcomp> z,DictWriter._dict_to_list.<locals>.<listcomp>c 3 s | ] } |jV qd S r! )getr< )r\ rN rowdictr r r <genexpr> s z+DictWriter._dict_to_list.<locals>.<genexpr>)rV keysr@ rU join)r rb wrong_fieldsr ra r _dict_to_list s zDictWriter._dict_to_listc C s | j | |S r! )r rW rg )r rb r r r rW s zDictWriter.writerowc C s | j t| j|S r! )r writerowsmaprg )r rowdictsr r r rh s zDictWriter.writerowsN)r rR r )r& r' r( r rY rg rW rh r r r r r s r c @ s: e Zd ZdZdd Zd ddZdd Zd d Zd d ZdS )r ze "Sniffs" the format of a CSV file (i.e. delimiter, quotechar) Returns a Dialect object. c C s g d| _ d S )N)r2 r6 ; :) preferredr r r r r s zSniffer.__init__Nc C sd | ||\}}}}|s| ||\}}|stdG dd dt}||_||_|p+d|_||_|S )zI Returns a dialect (or None) corresponding to the sample z Could not determine delimiterc @ s e Zd ZdZdZeZdS )z Sniffer.sniff.<locals>.dialectsniffedr4 N)r& r' r( r) r/ r r0 r r r r r= s r= r3 )_guess_quote_and_delimiter_guess_delimiterr r r- r* r+ r. )r sample delimitersr+ r- r* r. r= r r r sniff s z Sniffer.sniffc C s g }dD ]}t |t jt jB }||}|r nq|s dS i }i }d}|j} |D ]\} | d d } | | } | rA|| dd || < z | d d } | | } W n tyV Y q)w | rk|du sa| |v rk|| dd || < z| d d } W n ty| Y q)w | | r|d7 }q)t||jd } |rt||jd }|| |k}|d krd }nd }d}t d t || d t j}| |rd}nd}| |||fS )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. )zI(?P<delim>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?P=delim)zG(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?P<delim>[^\w\n"\'])(?P<space> ?)zG(?P<delim>[^\w\n"\'])(?P<space> ?)(?P<quote>["\']).*?(?P=quote)(?:$|\n)z-(?:^|\n)(?P<quote>["\']).*?(?P=quote)(?:$|\n))r FNr r quote delimNspacerN r7 r z]((%(delim)s)|^)\W*%(quote)s[^%(delim)s\n]*%(quote)s[^%(delim)s\n]*%(quote)s\W*((%(delim)s)|$))rw ru TF) recompileDOTALL MULTILINEfindall groupindexr` KeyErrormaxescapesearch)r datars matchesrestrregexpquotesdelimsspacesr mnrN r+ rw r. dq_regexpr- r r r rp sj z"Sniffer._guess_quote_and_delimiterc C s t td|d}dd tdD }tdt|}d}i }i }i }d|} } | t|k r-|d7 }|| | D ] } |D ]} || i } | | }| |dd | |< | || < q<q8| D ]N} t || }t|dkrv|d d dkrvq]t|dkrt |d d d || < | || || d || d t d d |D f|| < q]|d || < q]| }t t|| t|}d}d}t|dkr||kr|D ]$\}}|d dkr|d dkr|d | |kr|du s||v r|||< q|d8 }t|dkr||kst|dkr!t | d }|d ||d d| k}||fS | } | |7 } | t|k s.|s2dS t|dkr]| jD ] }|| v r[|d ||d d| k}||f S q<dd | D }| |d d }|d ||d d| k}||fS )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. Nr7 c S rZ r )chr)r\ cr r r r^ - r_ z,Sniffer._guess_delimiter.<locals>.<listcomp> r rv c S s | d S )Nrv r )r] r r r <lambda>G s z*Sniffer._guess_delimiter.<locals>.<lambda>ry c s s | ]}|d V qdS )rv Nr )r\ itemr r r rc L s z+Sniffer._guess_delimiter.<locals>.<genexpr>g ?g?g{Gz?z%c )r r c S s g | ]\}}||fqS r r )r\ kvr r r r^ v s )listfiltersplitrangeminrI r` countrd itemsr removesumfloatrn sort)r r rs ascii chunkLength iteration charFrequencymodesr startendlinechar metaFrequencyfreqr modeListtotal consistency thresholdr r rw r. rK r r r rq s 3 zSniffer._guess_delimiterc C sj t t|| |}t|}t|}i }t|D ]}d ||< qd}|D ]L}|dkr+ nE|d7 }t||kr6q#t| D ]2} t} z| || W n t t fyY t|| } Y nw | || krn|| d u rk| || < q<|| = q<q#d} | D ]:\} } t | t dkrt|| | kr| d7 } qv| d8 } qvz| || W n t t fy | d7 } Y qvw | d8 } qv| dkS )Nr rv )r r rt rD rI r r rd complexrU OverflowErrorr typer# ) r rr rdrrX columns columnTypesicheckedrJ colthisType hasHeadercolTyper r r has_header sL zSniffer.has_headerr! ) r& r' r( r r rt rp rq r r r r r r s L gr ) r rz _csvr r r r r r r r r r r r r r r" ior __all__r r r r r r NameErrorr r r r r r <module> s* @ 2