+ xȇiz^RIHt^RIHtHt^RIt^RIHt^RIt^RI H t H t H t H t HtHtHt^RIt^RIt^RIHt^RIHt^RIHtHtHt^R IHt^R IHt^R I H!t!^R I"H#t#H$t$H%t%H&t&H't'H(t(H)t)^R I*H+t+H,t,^RI-H.t.^RI/H0t0^RI1H2t2H3t3^RI4H5t5^RI6H7t7^RI8H9t9H:t:^RI;Ht>H?t?H@t@] 'd!^RIAHBtBHCtCHDtDHEtE^RIHFtFHGtGHHtHHItI^RIJHKtKHLtLRtM!RR]<4tN!RR]P4tO!RR]N4tPRR ltQR#)!) annotations)abc defaultdictN)StringIO)IO TYPE_CHECKINGAny DefaultDictLiteralcastfinal)lib)Scalar)EmptyDataError ParserError ParserWarning)cache_readonly)find_stack_level) astype_array) is_bool_dtypeis_extension_array_dtype is_integeris_numeric_dtypeis_object_dtypeis_string_dtype pandas_dtype)CategoricalDtypeExtensionDtype) is_dict_like) algorithms) CategoricalExtensionArray) BooleanDtype)Index) dedup_namesis_potential_multi_index) ParserBaseevaluate_callable_usecols get_na_valuesparser_defaultsvalidate_parse_dates_presence)HashableIteratorMappingSequence) ArrayLikeDtypeObj ReadCsvBufferT) MultiIndexSeriesuca]tRt^`t$R]R&RV3Rllt]RRl4tRRltR=R R llt R R lt R=R Rllt RRlt ] R>RRll4t] RRl4t]RRl4tRRlt]R4tRRltRRltRRltR R!ltR"R#ltR$R%ltR&R'ltR(R)ltR*R+ltR,R-ltR.R/ltR0R1ltR2R3ltR4R5lt R=R6R7llt!R8R9lt"R:R;lt#R Workhorse function for processing nested list into DataFrame skiprowsc"<VSP9#N)rF)xselfs&rA'PythonParser.__init__..ssa4==&8rD skipfooter delimiter quotechar escapechar doublequoteskipinitialspacelineterminatorquotingskip_blank_lineshas_index_namesF thousandsdecimalcommentreadlineNz'Only length-1 decimal markers supported),super__init__databufposline_posrFcallableskipfunc_validate_skipfooter_argrMrNrO isinstancestrrPrQrRrSrTrUgetrVrWrXrYlisthasattr _make_reader _col_indices_infer_columnsnum_original_columns unnamed_cols_extract_multi_indexer_columns index_namescolumns col_names orig_names_get_index_namerangelen_set_no_thousand_columnsr9 ValueError)rJr<kwdsrp_ro __class__sf&, rAr\PythonParser.__init__cs_ >@  Z( DMM " " MMDM8DM24 3EFk*k* dnnc * * 0DN|, . $%7 8"#34I $%7 8 $xx(95Ak*I I  a  DI1j)) ))))!,DI/3    !    %    / /      L   N +/t||*<595I5I5K2 T_dl    #*D     $ $U3t||+<%= >D %)%B%B%D" t||  !FG G "rDcV^8dQhRR/#)r;r=z re.Patternr?)r@s"rArBrCs ! !Z !rDc \P!VP4pVPfRV R2pM)\P!VP4pRV RV R2p\P!V4#)Nz^[\-\+]?[0-9]*(z [0-9]*)?([0-9]?(E|e)\-?[0-9]+)?$z^[\-\+]?([0-9]+z |[0-9])*()reescaperXrWcompile)rJrXregexrWs& rAnumPythonParser.numsm))DLL) >> !&wi/OPE $..1I"9+Ywi@,- zz%  rDc V^8dQhRRRR/#)r;r<IO[str] | ReadCsvBuffer[str]r=zIterator[list[str]]r?)r@s"rArBrCs FF:F?RFrDc aaa SPo S e\S 4^8XEd0SP'd \R4h!V3RlR\P 4pTpS enS VnSP eWSPSP4'd6SP4pV'gEMS;P^, unKVEMhSP4pSPV..4^,pSPSP4'g V'gFS;P^, unSP4pSPV..4^,pKn\\\,V4pV^,pS;P^, unS;P^, un\P!4P!V4pVPVn\P"!\%V4VR7pSP&P)\V44\P"!SVRR7p V #VV 3Rlp V !4p V #)Nz.MyDialect r?N) __name__ __module__ __qualname____firstlineno__rNrOrPrQrRrTrS__static_attributes__rJsrA MyDialectrsC NN  NN !__ ".. #'#8#8 ,,!%rDr)dialectT)rstrictc3<"SP4p\P!S4pVPVP 44xSF$pVPVP 44xK& R#5irH)rZr~rsplitstrip)linepatr<seps rA_read(PythonParser._make_reader.._readsRzz|jjoii --D))DJJL11sA4A7)rNrurSrwcsvDialectrFrbr_rZ_check_commentsr rgrer`Sniffersniffreaderrr^extend) rJr<rdiarlines lines_strsniffedline_rdrrrrs ff @rAriPythonParser._make_readersnn ;#c(a-""" R &CKK &C # ==,--11 zz|#!A zz|,,tfX6q9mmDHH--UHHMH::$PythonParser.read..7s+( /9!CR$$19 % %zs))NN) _get_lines StopIteration _first_chunkclosergrrr%r& index_col_get_empty_metadtype_maybe_make_multi_index_columnsrqrVsumru _rows_to_cols_exclude_implicit_index _convert_data_do_date_conversions _make_index) rJrcontentrpnamesindexcol_dict conv_columns indexnamerowalldatar] conv_dataresult_columnss && rAreadPythonParser.readsy ood+G"'+4??&; (OONNE(,';'; ( $EH ??XL0 0    C( /6qz( % \%#1:LbkG$$W-44W= &&t, --gA $ 0 0< Pi//[       sEF1F6Fc V^8dQhRRRR/#)r;rlist[np.ndarray]r=z8tuple[Mapping[Hashable, np.ndarray], Sequence[Hashable]]r?)r@s"rArBrCGs! BrDc l\VP\VPVP44p^pVP'd\ VP4p\ V4pVP W!4\V4UUu/uFwrVWT8gK WaWS,,bK uppV3#uuppi)r)r%rrr&r_implicit_indexru_check_data_length enumerate)rJrroffset len_alldatainames&& rAr$PythonParser._exclude_implicit_indexGs  OO $      (F'l  /6?u5E 5E'! %D!*% %5E   s  B0B0c V^8dQhRRRR/#)r;sizerr=rr?)r@s"rArBrC`s $ $ $  $rDc FVf VPpVPVR7#)N)r) chunksizer)rJrs&&rA get_chunkPythonParser.get_chunk`s# <>>Dyydy##rDc V^8dQhRRRR/#)r;r]zMapping[Hashable, np.ndarray]r=zMapping[Hashable, ArrayLike]r?)r@s"rArBrCls! ! +!  &! rDc VPVP4pVPVP4p/p/p\VP\ 4'dVPFppVfK VPV,pVP V,p\V\4'd$W`P9dVPV,pWtV&WV&Kr MVPpVP pVPVVVVV4#rH) _clean_mapping convertersrrd na_valuesdict na_fvaluesrrr_convert_to_ndarrays) rJr] clean_conv clean_dtypesclean_na_valuesclean_na_fvaluescolna_value na_fvalues && rArPythonParser._convert_datals ((9 **4::6  dnnd + +~~?#~~c2H $ 4I!#s++??0J"ooc2+3C(,5S)&#nnO# ((        rDc V^8dQhRRRR/#)r;dctr.r=zdict[Any, np.ndarray]r?)r@s"rArBrCs"RR R RrDc /p\VPVP4pVP4EF wrVfRMVP VR4p \ V\ 4'dVP VR4p MTp VP'd\WW0P4wrM\4\4rW9dS\P!V \V 4V ,4p\P!W\P4WV&KV epV e*\ P"!RV R2\$\'4R7\(P*!W4p VP7V \V 4V ,V RJRR7wppM\9V 4pT;'g \;V 4pT ;'dT'*pVP7V \V 4V ,V RJV4wppV e \=V 4p V 'dZVP>V 8wg V'dAV'g'V^8d \AV 4'd\-RV 24hVPCWV4pWV&EK# V# \,dY\P!T \/T44P1\P24p\(P4!YT4p ELbi;i)Nz5Both a converter and dtype were specified for column z# - only the converter will be used. stacklevelF) try_num_boolz$Bool column has NA values in column )"r+ parse_datesrpitemsrfrdr na_filterr)keep_default_nasetr isinnpputmasknanwarningswarnrrr map_inferrwrgviewuint8map_infer_mask _infer_typesrrrrr _cast_types)rJrrrrdtypesresultparse_date_colscvaluesconv_f cast_type col_na_valuescol_na_fvaluesmaskcvalsna_countis_eais_str_or_ea_dtypers&&&&&& rAr!PythonParser._convert_to_ndarraysss78H8H$,,WIA'/TZ^^At5LF&$''"JJq$/ # ~~~0=*.B.B1- ~14su~#"vs=/AN/RS 60"q !(MM**+,OQ#5 F ]]6:F #'"3"3 &7%!& #4#x1;%*%H%Hoi.H"%.$D$D2DE #'"3"3 &7% #x( ,Y 7I%++":e X\(33",/STUSV-W"XX ,,UqAE1IO%P G"F%??64 ?CHHRD //EFFsIAJ=<J=c$V^8dQhRRRRRR/#)r;r r0r r1r=r?)r@s"rArBrCs&GG)GGYGrDc :\V\4'dVPRJp\VP4'g"V'g\ P !VRRR7p\VRR7P4P4p\P!WUPV4W PR7pV#\V\4'dVP4p\V\ 4'dOVUu.uFp\#V4NK ppVP%VVVPVP&VP(R7#VP%WR7#\V\,4'dVP/VRR7pV#\1VP2\"4'd\ P !VR RR7pV#\5WR R7pV#uupi \*dp \+RT R 24T hRp ? ii;i \6dp \7R T R T 24T hRp ? ii;i) a Cast values to specified type Parameters ---------- values : ndarray or ExtensionArray cast_type : np.dtype or ExtensionDtype dtype to cast values to column : string column name - used only for error reporting Returns ------- converted : ndarray or ExtensionArray NF)skipnaconvert_na_value)copy) true_values)rr false_values none_valuesrzExtension Array: zO must implement _from_sequence_of_strings in order to be used in parser methodsTzUnable to convert column z to type )rdr categoriesrrrensure_string_arrayr$uniquedropnar!_from_inferred_categories get_indexerrrconstruct_array_typer#re_from_sequence_of_stringsrrNotImplementedErrorr"astype issubclasstyperrw) rJr r column known_catscats array_typeval values_strerrs &&&& rArPythonParser._cast_typess" i!1 2 2"--T9J"6<<000055e,335<<>D ::&&v. GWGWFV M > 2 2"779J i667=!=fs#c(fJ!=%??"'$($4$4%)%6%6$(NN @&???XX / /]]95]9F   , ,,,teF  %fdC  A">' )' |4VV $  /xy L sH$G>G5GG G8G G5 G00G58 HHHcV^8dQhRR/#)r;r=boolr?)r@s"rArBrC/s$rDc VPfR#VPp\V\\\P 34'd\ V4^8#R#)NF)headerrdrgtuplerndarrayru)rJr6s& rA_have_mi_columnsPythonParser._have_mi_columns.sA ;;  ftUBJJ7 8 8v;? "rDcV^8dQhRR/#)r;r=z9tuple[list[list[Scalar | None]], int, set[Scalar | None]]r?)r@s"rArBrC9su;u; Bu;rDc  RVPp^pRp\4pVPEeVPpVPp\ V\ \ \P34'd'V'd.\ V4OVR,^,NpMV.p.p\V4EFwrVP4p VPV 8:dVP4p K#.p.p\V 4FXwppVR 8Xd;V'd R V RV 2pMR V 2pVP+V4VP+V4KGVP+V4KZ V'EgL\/\04p\3\#V44Uu.uFpVV9gK VNK upV,pVEFpVV,pTpVV,pV^8dV^8d1V^,VV&V RV 2pVV9d V^, pK,VV,pK7VP4e\7VP44'dqVP4P9V4eTVP4P9V4f7VP4P;VVP4P9V4/4VVV&V^,VV&EK MV'dWR,8Xdu\#V4pVP<pVe \#V4M^p\#V4pVV8wdVV, V8gV^8Xd&RpR.V,pVP&R,.VnVP+V4TP;VUu0uF pVV,kK up4\#V4^8XgEK\#V4pEK V'dVP&P)4VEe VP4pVf^M \#V4p\#V4\#V^,48d\#V4V8d \%R4h\#V4^8d \?R4hVP@eVPCWqV4M \#V4pVPDeS\#V4\#VPD48wd0\GVPD4Uu.uF pVV,NK up.pEMV.pEM VPCWw^,V4pM\#VPH4pTpV'g0\ \3V44.pVPCWw^,V4pMVP@e\#V4V8d!VPCV.VV4p\#V4pMe\KVP@4'g/\#V4\#VP@48wd \%R4hV.pVPCWw^,V4WrV3# \Ed7p ^TPu;8dT 8:d}MMyT'dYR,8wde\ \\T'dTRRMT44p RRP!T 4 R\#T 4 R2p \%RT RTP R 24T hT'd^T ^8dWT'dTP&P)4TP+R.\#TR,4,4YrT3uRp ? u#TP'g \-R 4T hTPR ,p Rp ? EL Rp ? ii;iuupiuupi \dRpELfi;iuupi)rTN[,z ], len of z, zPassed header=z but only z lines in fileNo columns to parse from fileNNNrz Unnamed: _level_.FzHNumber of passed names did not match number of header fields in the filez*Cannot pass names with multi-index columns)&rrr6r9rdrgr7rr8r_buffered_liner` _next_linermaprejoinrurwr^clearappendrrrrtrrrfupdater TypeErrorusecols_handle_usecolsrjsorted _header_linera)rJrrl clear_bufferrmr6have_mi_columnsrplevelhrrr1joimsg this_columnsthis_unnamed_colsrr col_namecountscol_loop_orderrold_col cur_countlcsicic unnamed_count first_linelen_first_data_rowncolss& rArkPythonParser._infer_columns9sI   +.5 ;; "[[F"33O&4 ";<<" -/BGm4KPRVWPW+0L,06B;L(, ~DH|,##>O$P>O\!__>O$PQw<1$+.|+<(M/P  &!%!2J+5*wO0O 0 !'$$Waj%@l::u%)4==.B.+rBZ/?#3s?F3BKPV#WX !#((3- 3s8*BG(,SE4==/X"#'26' HHNN,vGBK0@'@A&lJJ:::,-LMSVV::a=D1)Z&^%Q%&!%J&, Msh*3W7 \\\ *\\$ \ #[>1A8[>*[>9A[>?\[>[>>\ \! \!c VPeR#VP4pV# \d=pTP'g \ R4ThTPR,pRp?T#Rp?ii;i)Nr?r@)r6rDrrr)rJrr1s& rArOPythonParser._header_linesf ;; " !&&(D   !:::$%DE3N::a=D  !s$ A+1A&&A+c(V^8dQhRRRRRRRR/#)r;rpzlist[list[Scalar | None]] usecols_keyzlist[Scalar | None]rlrr=r?)r@s"rArBrCs2..*.)." . # .rDc  VPEe\VP4'd\VPV4pEM\;QJd&RVP4F 'gK RM RM!RVP44'd|\ V4^8d \ R4h.pVPFMp\ V\4'd$VPVPV44K<VPV4KO MFVPUu.uF qUV8gK VNK ppV'd\RV R24hVPpVUUU u.uF*p\V4UU u.uFwrW9gK V NK up pNK, pppp \V4VnV# \ d"TPTPT4EKi;iuupiuup piuup ppi)zJ Sets self._col_indices usecols_key is used if there are string usecols. c3B"TFp\V\4xK R#5irH)rdre)rus& rAr/PythonParser._handle_usecols..s>AZ3''sTFz4If using multiple headers, usecols must be integers.z>>>>>w@#ll &%F )0E0tqA4D0E% !'{ 3D ) *T 88{SST #Fs< FG 'G G+ G:GG'G  G GcV^8dQhRR/#r;r= list[Scalar]r?)r@s"rArBrC/s%% %rDc |\VP4^8dVP^,#VP4#)z8 Return a line from buffer, filling buffer if required. )rur^rErs&rArDPythonParser._buffered_line/s/ txx=1 88A; ??$ $rDc V^8dQhRRRR/#)r; first_rowrur=r?)r@s"rArBrC8s3,3, 3,3,rDc V'gV#\V^,\4'gV#V^,'gV#V^,^,pV\8wdV#V^,p\V4^8dqV^,VP8XdY^pV^,pVR,P V4^,pW4Vp\V4V^,8dWsV^,R, pM VR,pV.pWR,,#)z Checks whether the file begins with the BOM character. If it does, remove it. In addition, if there is quoting in the field subsequent to the BOM, remove it as well because it technically takes place at the beginning of the name, not the middle of it. :r;NNNr)rdre_BOMrurOr) rJry first_elt first_row_bomstartquoteendnew_row new_row_lists && rA_check_for_bomPythonParser._check_for_bom8s  )A,,, || aLO   !!  }  !mA&6$..&HE!!$E#))%014C$#.G=!C!G+q33$B'G&-Y m++rDc V^8dQhRRRR/#)r;rzSequence[Scalar]r=r4r?)r@s"rArBrCms 4 4#3 4 4rDc V'*;'g5\;QJdRV4F 'dK R# R#!RV44#)z Check if a line is empty or not. Parameters ---------- line : str, array-like The line of data to check. Returns ------- boolean : Whether or not the line is empty. c3."TF q'*xK R#5irHr?)rrIs& rAr.PythonParser._is_line_empty..zs3duudsFT)all)rJrs&&rA_is_line_emptyPythonParser._is_line_emptyms7x33333d33333333d333rDcV^8dQhRR/#rtr?)r@s"rArBrC|s44L4rDc \VP\4'EdAVPVP4'dAVP\ VP48dMV;P^, unKaVP VPVP,.4^,pV;P^, unVP'gDVPVPVP^, ,4'g V'dEMBVP'd(VPV.4pV'd V^,pEM KKVPVP4'd1V;P^, un\VP4KQVPVP^,R7pV;P^, unVfKCVP V.4^,pVP'd'VPV.4pV'd V^,pM$KVPV4'g V'gKVP^8XdVPV4pV;P^, unVP P#V4V# \d p\ThRp?ii;i)rNrow_num)rdr]rgrbr_rurrUr_remove_empty_lines IndexErrorrnext_next_iter_linerr`r^rI)rJrretr1 orig_lines& rArEPythonParser._next_line|s  dii & &--))88s499~-A 1//4881D0EFqIDHHMH000++DIIdhhl,CDD,,,"66v>#&q6D!---))A TYY 00A0F A (// #&q6D!,,Y7744 88q=&&t,D    ?"1'S01s7AK$8KK'K9K K K KKc$V^8dQhRRRRRR/#)r;rUrerrr=r>r?)r@s"rArBrCs!C#$rDc BVPVPP8Xd \V4hVPVPP8Xg\ VP4'd/\ P!RV RV R2\\4R7R#R#)a Alert a user about a malformed row, depending on value of `self.on_bad_lines` enum. If `self.on_bad_lines` is ERROR, the alert will be `ParserError`. If `self.on_bad_lines` is WARN, the alert will be printed out. Parameters ---------- msg: str The error message to display. row_num: int The row number where the parsing error occurred. Because this row number is displayed, we 1-index, even though we 0-index internally. zSkipping line z: rrN) on_bad_linesBadLineHandleMethodERRORrWARNrarrrr)rJrUrs&&&rA_alert_malformedPythonParser._alert_malformeds"    8 8 > > >c" "    8 8 = = =   B B  MM  C53+- B rDc V^8dQhRRRR/#)r;rrr=zlist[Scalar] | Noner?)r@s"rArBrCs,,s,/B,rDc \VP\4'dQh\VP4pV# \P dpTP TPPTPP39dP\T4pRT9gRT9dRpTP^8dRpTRT,, pTPYA4Rp?R#Rp?ii;i)a Wrapper around iterating through `self.data` (CSV source). When a CSV error is raised, we check for specific error messages that allow us to customize the error message displayed to the user. Parameters ---------- row_num: int The row number of the line being parsed. z NULL bytezline contains NULzNULL byte detected. This byte cannot be processed in Python's native csv library at the moment, so please pass in engine='c' insteadzError could possibly be due to parsing errors in the skipped footer rows (the skipfooter keyword is only applied after Python's csv library has parsed all rows).. N) rdr]rgrrErrorrrrrrerMr)rJrrerUreasons&& rArPythonParser._next_iter_lines !$))T22 22 ?DKyy   ((..((--%!f#%)<)C???Q&%4&=(C%%c35 s8;C%B C  C%c V^8dQhRRRR/#r;rlist[list[Scalar]]r=r?)r@s"rArBrCs%7> !L//0  rDc(V^8dQhRRRRRRRR/#)r;rrrrerr=r?)r@s"rArBrC5s,'14?B rDc .pVFp.p\V4Fwrx\V\4'dFW(9g@WpP9g0VPP VP 44'gVPV4KsVPVPW#44K VPV4K V#rH) rrdrer9rrrrIr) rJrrrrrrrrIs &&&& rAr(PythonParser._search_replace_num_columns5sDB!$"1c**66688??177955IIaLIIaii89( JJrN rDc V^8dQhRRRR/#rr?)r@s"rArBrCHs  $6 ;M rDc xVP\R,8XdV#VPWPRR7#)rXrBr)rXr*rrs&&rA_check_decimalPythonParser._check_decimalHs9 <SY1J1J%JJ%)%D *:%;DN#xx|DH%d^q!,,"&gJ03G D-W44  "#'D ~~%!%e,?&@!AJ/3.E.E/ +ZDNw..g!    I s#F2G2 GG GGc V^8dQhRRRR/#)r;rrr=rr?)r@s"rArBrCs SS%7S.s2'3c#hh'sFNranormalz Expected z fields in line z, saw z from bad_lines callablezXError could possibly be due to quotes being ignored when a multi-char delimiter is used.r) min_width)rlrrurmaxrLrMrrarr rgrr_rIrrrrNrTr QUOTE_NONErrto_object_arrayr3rj)rJrcol_lenmax_lenfooters bad_lines iter_content content_lenr_content actual_lennew_lrsourcerUrzipped_contentroas&& rArPythonParser._rows_to_colssN++     s4>>* *G2'22  u!<AU)-dooaGI$W-Lg,KG+  ] ' 1 122 $ 1 1( ; ,$(fu$=E"5zG3*.((ko6O*P ) 0 0'3u:z1R S(-hw#NN51 -**00660055/#'((ko.G"H!(('x)HI,,0H0H0N0NN!O NN8,- ,009+Vy(81 VJ<XZ'55CNNNDNN+a/ 6G4&=(C%%cQ;7%09*c11'MOOP <<<$$0 00++K###!*. 9" 91C//s4>>22kA A 9"#,N";"";$!QqK?OAA";"""sAO O% O6Oc V^8dQhRRRR/#)r;rrr=rr?)r@s"rArBrCsL*L*zL*5GL*rDc VPpRpVe[\VP4V8d%VPRVVPVRuq0nMV\VP4,pVEf\VP\4'dVP \VP48d\ hVf0VPVP Rp\VP4pM=VPVP VP V,pVP V,pVPV4pVPV4W@nEM.pVe^p^pVP e VP M^pWa8dX\VP4pVPWu,4'g V^, pV^, pVPV4K]\V4p VPV4pVPV4MO^pVPVP V,^,R7p V^, pV fK:VPV 4KMV;P V , un.VnMTpVP'dVRVP)pVPV4pVP'dVP!V4pVP#V4pVP%V4# \ dB\T4p TPT4pTPT4\T4^8XdhLi;i)Nr)r^rurdr]rgr_r_remove_skipped_rowsrrrbrIrrMrrUrrr) rJrrnew_rowsnew_pos row_indexrow_ctrr len_new_rowsnext_rows && rArPythonParser._get_liness  488}$%)XXet_dhhtuo"(DHH %  $))T**88c$))n,''<#yy4H!$))nG#yyDHHtODH"hhoG44X> X&"'$% !"-1XX-Aq$m&*499oG#'==1C#D#D &! %NI$OOG4'*8} #'#<#=L>c V^8dQhRRRR/#)r;rrr=r?)r@s"rArBrC@s-?DVrDc VP'dI\V4UUu.uF0wr#VPW P,4'dK.VNK2 upp#V#uuppirH)rFrrbr_)rJrrrs&& rAr!PythonParser._remove_skipped_rows@sN ==="+H"5"5T]]1xx<=X"5 s +AAcV^8dQhRR/#)r;r=r8r?)r@s"rArBrCGs$$($rDc >\4pVP'dIVP'd7VPfQhVP VPVP4pVP'Ed&VP 'EdVPfQh\ VPVPRR7Fwr#\VP \4'g-\VP 4'gVPV4\VP \4'gKsW0P 9gK\VP V,4'd%\VP V,4'gKVPV4K V#)NTr) rrprrj_set_noconvert_dtype_columnsrziprdrraddr)rJno_thousands_columnsrrs& rArv%PythonParser._set_no_thousand_columnsGs#), <<r?)r@s"rArBFixedWidthReader.__annotate__fsP$$ '$;$ $  $ " $$ $rDc  WnRVnV'd RV,MRVnW@nVR8XdVP WeR7VnMW n\ VP \\34'g"\R\V4P 24hVP Fp\ V\\34'd\V4^8Xdq\ V^,\\P\R434'd:\ V^,\\P\R434'dK\R4h R#)Nz z infer)rrFz;column specifications must be a list or tuple, input was a zEEach column specification must be 2 element tuple or list of integers)r<bufferrNrYdetect_colspecsrrdr7rgrKr*rrurrinteger)rJr<rrNrYrFrcolspecs&&&&&&& rAr\FixedWidthReader.__init__fs '+ /8)+i w  00'1DM%M$--%77#H~6679  }}G7UDM22LA%wqzCT$Z+HIIwqzCT$Z+HII:%rDc$V^8dQhRRRRRR/#)r;rrrFrr= list[str]r?)r@s"rArBrs!$$C$?$i$rDc Vf \4p.p.p\VP4F?wrVWR9dVPV4VPV4\ V4V8gK?M \ V4VnV#)a1 Read rows from self.f, skipping as specified. We distinguish buffer_rows (the first <= infer_nrows lines) from the rows returned to detect_colspecs because it's simpler to leave the other locations with skiprows logic alone than to modify them to deal with the fact we skipped some rows here as well. Parameters ---------- infer_nrows : int Number of rows to read from self.f, not counting rows that are skipped. skiprows: set, optional Indices of rows to skip. Returns ------- detect_rows : list of str A list containing the rows to read. )rrr<rIruiterr)rJrrF buffer_rows detect_rowsrrs&&& rAget_rowsFixedWidthReader.get_rowssv2  uH  'FA ""3'   s #;;. ( ;' rDc$V^8dQhRRRRRR/#)r;rrrFrr=zlist[tuple[int, int]]r?)r@s"rArBrs$0? rDc 6RPVPUu.uFpRV 2NK up4p\P!RV R24pVP W4pV'g \ R4h\ \\V44p\P!V^,\R7pVPe1VU u.uF$qPVP4^,NK& pp VF;p VPV 4F#p ^WP4V P!4%K% K= \P"!V^4p ^V ^&\P$!W, ^8H4^,p \'\)V R,V R,RR 74p V #uupiuup i) r\z([^z]+)z(No rows from which to infer column widthr:NNr;:rNr;Tr)rGrNr~rr rrrFrurzerosrrY partitionfinditerr~rrollwherergr)rJrrFrI delimiterspatternrrrrmshiftededges edge_pairss&&& rAr FixedWidthReader.detect_colspecssKWW?11#h?@ **s:,c23}}[3 !KL Lc#tn%xx! 3/ << #>BCdsMM$,,/22dDCC%%c*,-WWY)+''$" $.Q./2#eCj%+dCD !@Ds F;*FcV^8dQhRR/#)r;r=rr?)r@s"rArBrs W W) WrDc RVPe\VP4pM\VP4pVPUUu.uF"wr#WVP VP 4NK$ upp# \d RTn\TP4pLdi;iuuppirH)rrrr<rrrN)rJrfrom_tos& rA__next__FixedWidthReader.__next__s ;; " $DKK( ]tRtRtRtRRltRRltRRltR tR #) FixedWidthFieldParseriz` Specialization that Converts fixed-width fields into DataFrames. See PythonParser for details. c V^8dQhRRRR/#)r;r<zReadCsvBuffer[str]r=r>r?)r@s"rArB"FixedWidthFieldParser.__annotate__s//,//rDc VPR4VnVPR4Vn\P!W3/VBR#)rrN)poprrr7r\)rJr<rxs&&,rAr\FixedWidthFieldParser.__init__s6, 88M2d..rDc V^8dQhRRRR/#)r;r<rr=rr?)r@s"rArBr(s  : ?O rDc \VVPVPVPVPVP 4#rH)rrrNrYrFr)rJr<s&&rAri"FixedWidthFieldParser._make_readers7 MM NN LL MM      rDc V^8dQhRRRR/#rr?)r@s"rArBr(s     =  rDc VUu.uFAp\;QJdRV4F 'gK RM RM !RV44'gK?VNKC up#uupi)z Returns the list of lines without the empty ones. With fixed-width fields, empty lines become arrays of empty strings. See PythonParser._remove_empty_lines. c3|"TF2p\V\4'*;'gVP4xK4 R#5irH)rdrer)rrs& rAr.s+E1z!S))66QWWY6s <<TF)rm)rJrrs&& rAr)FixedWidthFieldParser._remove_empty_linessI sEEsssEEE D   sAAAA)rrN) rrrrr$r\rirrr?rDrAr&r&s /     rDr&c V^8dQhRRRR/#)r;rMrr=r?)r@s"rArBrBsrDcb\V4'g \R4hV^8d \R4hV#)a Validate the 'skipfooter' parameter. Checks whether 'skipfooter' is a non-negative integer. Raises a ValueError if that is not the case. Parameters ---------- skipfooter : non-negative integer The number of rows to skip at the end of the file. Returns ------- validated_skipfooter : non-negative integer The original input if the validation succeeds. Raises ------ ValueError : 'skipfooter' was not a non-negative integer. zskipfooter must be an integerzskipfooter cannot be negative)rrw)rMs&rArcrcs6* j ! !899A~899 rD)R __future__r collectionsrrriorr~typingrrr r r r r rnumpyr pandas._libsrpandas._typingr pandas.errorsrrrpandas.util._decoratorsrpandas.util._exceptionsrpandas.core.dtypes.astyperpandas.core.dtypes.commonrrrrrrrpandas.core.dtypes.dtypesrrpandas.core.dtypes.inferencer pandas.corer pandas.core.arraysr!r"pandas.core.arrays.booleanr#pandas.core.indexes.apir$pandas.io.commonr%r&pandas.io.parsers.base_parserr'r(r)r*r+collections.abcr,r-r.r/r0r1r2r3pandasr4r5r{r7rr&rcr?rDrArLs"  ! 3426"4)~$:~$B(qWs||qWh! L! HrD