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//proc/self/root/proc/self/root/usr/lib/python2.4/csv.pyo
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�t�d�‚�q�q�Wn�g��}�|��i�D]�}�|�|�i �|�|��i �ƒ�qV�~�S(���NR?���s&���dict contains fields not in fieldnames(���R���RA���t���rowdictt���keyst���kR/���RC���t���_[1]R>���t���getR1���(���R���RD���RG���R>���RF���(����(����R���t ���_dict_to_list‹���s���� �c���������C���s���|��i�i�|��i�|�ƒ�ƒ�S(���N(���R���R ���t���writerowRI���RD���(���R���RD���(����(����R���RJ���’���s����c���������C���s=���g��}�x$�|�D]�}�|�i�|��i�|�ƒ�ƒ�q �W|��i�i�|�ƒ�S(���N(���t���rowst���rowdictsRD���R���R���RI���R ���t ���writerows(���R���RL���RK���RD���(����(����R���RM���•���s �����(���R*���R+���R���RI���RJ���RM���(����(����(����R���R������s��� c�����������B���s>���t��Z�d��Z�d�„��Z�e�d�„�Z�d�„��Z�d�„��Z�d�„��Z�RS(���se��� "Sniffs" the format of a CSV file (i.e. delimiter, quotechar) Returns a Dialect object. c���������C���s���d�d�d�d�d�g�|��_�d��S(���NR-���s��� t���;t��� t���:(���R���t ���preferred(���R���(����(����R���R���¦���s����c���������C���s€���|��i�|�|�ƒ�\�}�}�}�|�d�j�o�|��i�|�|�ƒ�\�}�}�n�d�t �f�d�„��ƒ��Y}�|�|�_�|�p�d�|�_�|�|�_�|�S(���sI��� Returns a dialect (or None) corresponding to the sample R3���c�����������B���s ���t��Z�d�Z�d�Z�e�Z�e�Z�RS(���Nt���sniffeds��� (���R*���R+���R,���R$���R����R#���R&���R%���(����(����(����R���R3���¶���s���R.���N(���R���t���_guess_quote_and_delimitert���samplet ���delimitersR"���R���R'���R���t���_guess_delimiterR���R3���(���R���RT���RU���R3���R'���R���R"���(����(����R���t���sniff«���s����� c���������C���sÿ��g��}�xE�d�D]=�}�t�i�|�t�i�t�i�Bƒ�} �| �i�|�ƒ�}�|�o�Pq �q �W|�p�d�Sn�h��} �h��}�d�} �x|�D]}�| �i�d�d�}�|�|�}�|�o�| �i�|�d�ƒ�d�| �|�<n�y�| �i�d �d�}�|�|�}�Wn�t�j �o �qv�n�X|�o8�|�d�j�p �|�|�j�o�|�i�|�d�ƒ�d�|�|�<n�y�| �i�d �d�}�Wn�t�j �o �qv�n�X|�|�o�| �d�7} �qv�qv�Wt�| �d�„�| �i�ƒ��ƒ�}�|�oF�t�|�d�„�|�i�ƒ��ƒ�}�|�|�| �j�}�|�d �j�o �d�}�qòn �d�}�d�}�|�|�|�f�S(���s�� 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. sF���(?P<delim>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?P=delim)sC���(?:^| )(?P<quote>["']).*?(?P=quote)(?P<delim>[^\w "'])(?P<space> ?)sD���(?P<delim>>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?:$| )s*���(?:^| )(?P<quote>["']).*?(?P=quote)(?:$| )R���i����t���quotei���t���delimt���spacec���������C���s ���|�|��|�|�j�o�|��p�|�S(���N(���t���quotest���at���b(���R\���R]���R[���(����(����R���t���<lambda>ô���s����c���������C���s ���|�|��|�|�j�o�|��p�|�S(���N(���t���delimsR\���R]���(���R\���R]���R_���(����(����R���R^���ø���s����s��� N(���sF���(?P<delim>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?P=delim)sC���(?:^| )(?P<quote>["']).*?(?P=quote)(?P<delim>[^\w "'])(?P<space> ?)sD���(?P<delim>>[^\w "'])(?P<space> ?)(?P<quote>["']).*?(?P=quote)(?:$| )s*���(?:^| )(?P<quote>["']).*?(?P=quote)(?:$| )(���R���Ni����(���t���matchest���restrt���ret���compilet���DOTALLt ���MULTILINEt���regexpt���findallt���dataR���R[���R_���t���spacest���mt ���groupindext���nR>���RH���t���KeyErrorRU���t���reduceRE���R"���RY���R'���(���R���Rh���RU���Ra���R'���Rj���R_���Rl���R`���Ri���R[���R>���R"���Rf���RY���(����(����R���RS���Å���sV���� �� � ! c���������C���sÿ��t��d �|�i�d�ƒ�ƒ�}�g��}�t�d�ƒ�D]�}�|�t�|�ƒ�q)�~�}�t �d�t �|�ƒ�ƒ�}�d�}�h��}�h��}�h��} �d�t �|�t �|�ƒ�ƒ�}�} �x¥|�t �|�ƒ�j��o‘|�d�7}�xk�|�|�| �!D]\�}�xS�|�D]K�}�|�i�|�h��ƒ�}�|�i�|�ƒ�}�|�i�|�d�ƒ�d�|�|�<|�|�|�<qÉ�Wq¼�WxÓ�|�i�ƒ��D]Å�}�|�|�i�ƒ��}�t �|�ƒ�d�j�o�|�d�d�d�j�o�q)n�t �|�ƒ�d�j�o_�t�d�„��|�ƒ�|�|�<|�i�|�|�ƒ�|�|�d�|�|�d�t�d�„��|�ƒ�d�f�|�|�<q)|�d�|�|�<q)W|�i�ƒ��}�t�|�|�ƒ�}�d�}�d �}�x©�t �| �ƒ�d�j�o•�|�|�j�oˆ�xw�|�D]o�\�}�}�|�d�d�j�oR�|�d�d�j�oA�|�d�|�|�j�o(�|�d �j�p �|�|�j�o�|�| �|�<q³qDqDW|�d �8}�qWt �| �ƒ�d�j�oH�| �i�ƒ��d�} �|�d�i�| �ƒ�|�d�i�d�| �ƒ�j�}�| �|�f�Sn�| �}�| �|�7} �q‘�W| �p�d�Sn�t �| �ƒ�d�j�oc�x`�|��i'�D]Q�}�|�| �i�ƒ��j�o8�|�d�i�|�ƒ�|�d�i�d�|�ƒ�j�}�|�|�f�SqbqbWn�| �i�ƒ��d�} �|�d�i�| �ƒ�|�d�i�d�| �ƒ�j�}�| �|�f�S(���s¼�� 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 freqencies 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. s��� i���i ���i����i���c���������C���s ���|��d�|�d�j�o�|��p�|�S(���Ni���(���R\���R]���(���R\���R]���(����(����R���R^���4��s����c���������C���s���d�|��d�|�d�f�S(���Ni����i���(���R\���R]���(���R\���R]���(����(����R���R^���:��s����f1.0f0.90000000000000002f0.01s���%c R���N(���R���i����()���t���filterR���Rh���t���splitRG���t���ranget���ct���chrt���asciit���minR!���t���chunkLengtht ���iterationt ���charFrequencyt���modesR_���t���startt���endt���linet���charRH���t ���metaFrequencyt���countt���freqRE���t���itemsRn���t���removet���modeListt���floatt���totalt���consistencyt ���thresholdRF���t���vRU���RY���R'���R���RQ���R;���(���R���Rh���RU���R~���R}���R‡���R…���Rt���R€���R{���R_���Rz���Rv���RY���Rˆ���Rx���R|���R;���Rr���Ry���R'���R���RF���Rw���RG���Rƒ���R†���(����(����R���RV�����sz�����-� �� �( � �"/* �**c��� ��� ���C���s*��t��t�|�ƒ�|��i�|�ƒ�ƒ�} �| �i�ƒ��}�t�|�ƒ�}�h��}�x�t�|�ƒ�D]�}�d��|�|�<qI�Wd�}�x | �D]}�|�d�j�o�Pn�|�d�7}�t�|�ƒ�|�j�o�qj�n�xÂ�|�i�ƒ��D]´�}�xY�t�t�t�t�g�D]5�} �y�| �|�|�ƒ�PWqÌ�t�t�f�j �o�qÌ�XqÌ�Wt�|�|�ƒ�} �| �t�j�o �t�} �n�| �|�|�j�o*�|�|�d��j�o�| �|�|�<qg|�|�=q³�q³�Wqj�Wd�}�x¨�|�i�ƒ��D]š�\�}�}�t�|�ƒ�t�d�ƒ�j�o3�t�|�|�ƒ�|�j�o�|�d�7}�q|�d�8}�q‚y�|�|�|�ƒ�Wn#�t�t�f�j �o�|�d�7}�q‚X|�d�8}�q‚W|�d�j�S(���Ni����i���i���(���R���t���StringIORT���R���RW���t���rdrR7���t���headerR!���t���columnst���columnTypesRq���t���iR���t���checkedR8���RE���t���colt���intt���longR„���t���complext���thisTypeRC���t ���OverflowErrort ���hasHeaderR���t���colTypet���typet ���TypeError( ���R���RT���R‹���R—���R8���R���R���RŒ���RŽ���RŠ���R”���R���R–���(����(����R���t ���has_headerj��sX���� ��� �� �( ���R*���R+���t���__doc__R���R���RW���RS���RV���Rš���(����(����(����R���R ���¡���s���� @ e(���R›���Rb���t���_csvR���R���R ���R���R ���R���R���R���R����R���R���R���t ���cStringIOR‰���t���ImportErrort���__all__R���R���R���R���R���R“���t ���NameErrorR„���R ���(���R���R���R���R‰���R���RŸ���R���R ���R���R���R���R“���R ���R���R���R›���R���R���Rb���R ���R����R���R���(����(����R���t���?���s&��� U<: !