Mh"SSKJr SSKrSSKrSSKJr SSKJrJr SSK J r "SS5r "SS\ 5r "S S \ 5r"S S \ 5r"S S\ 5r"SS\ 5r\R$S5r\R$S5r\r\r\r\r\/r\\/r\R6"\\R8R:S9/r/\Q\Q\QrS/r SS/r!S/r"/\!Q\ Q\"Qr#\R$"\\#S9S5r$\R$"\\!S9S5r%\R$"\\ S9S5r&\R$"\\"S9S5r'Sr(\R$"\("5S\("5SS9S 5r)/S!Qr*/S"Qr+S#S$/r,\+VVs/sHn\,H oUS%3PM M snnr-\R$"\*S&9S'5r.\R$"\-S&9S(5r/\R$"/S)QS&9S*5r0\R$S+5r1\R$S,5r2gs snnf)-) annotationsN)VERSIONS)read_csv read_tablec~\rSrSr%SrS\S'Sr/rS\S'SrS r SSS .SS jjr S r SS .SSjjr Sr g) BaseParserNz str | NoneengineTzlist[str | None]float_precision_choicescvUR5nURURURS.5 U$)N)r low_memory)copyupdater r )selfkwargss Q/var/www/html/env/lib/python3.13/site-packages/pandas/tests/io/parser/conftest.py update_kwargsBaseParser.update_kwargss+ DOOLM c:URU5n[U0UD6$N)rrrargsrs rrBaseParser.read_csvs"##F+(((r)raise_on_extra_warningscheck_stacklevelcURU5n[R"UUUUS9 [U0UD6sSSS5 $!,(df  g=f)N)matchrr)rtmassert_produces_warningr)r warn_typewarn_msgrrrrs rread_csv_check_warnings"BaseParser.read_csv_check_warningssM##F+  ' ' $;-  T,V,    s > A c:URU5n[U0UD6$r)rrrs rrBaseParser.read_table4s"##F+4*6**r)rcURU5n[R"XUS9 [U0UD6sSSS5 $!,(df  g=f)N)rr)rrr r)rr!r"rrrs rread_table_check_warnings$BaseParser.read_table_check_warnings8sG##F+  ' ' ?V t.v.   s < A )r! type[Warning]r"strrbool)r!r+r"r,)__name__ __module__ __qualname____firstlineno__r __annotations__r r rrr#rr(__static_attributes__r*rrrrsvFJJ02-2 )!%!% - --  -*+!% / ///rrc \rSrSrSr/SQrSrg)CParserJc)Nhigh round_tripr*Nr.r/r0r1r r r3r*rrr5r5Js F:rr5c\rSrSrSrSrg)CParserHighMemoryOFr*Nr.r/r0r1r r3r*rrr<r<OsJrr<c\rSrSrSrSrg)CParserLowMemorySTr*Nr>r*rrr@r@SsJrr@c\rSrSrSrS/rSrg) PythonParserWpythonNr*r:r*rrrCrCWs F#frrCc\rSrSrSrS/rSrg) PyArrowParser\pyarrowNr*r:r*rrrGrG\s F#frrGcU"SSS5$)z? The directory path to the data files needed for parser tests. ioparserdatar*datapaths r csv_dir_pathrPas D(F ++rcR[RRU"SSS5S5$)z@ The path to the data file "test1.csv" needed for parser tests. rKrMcsvz test1.csv)ospathjoinrNs rcsv1rVis" 77<<vu5{ CCrmarksrEc_highc_lowrIparamsidscUR5nURS:Xa3[R"S[S5 SSKnUR S5 U$)z! Fixture all of the CSV parsers. rIrN)paramr pytest importorskiprrI set_cpu_count)requestrLrIs r all_parsersresH ]]_F }} !Ix ':; a Mrc"UR5$)z4 Fixture all of the CSV parsers using the C engine. r`rds r c_parser_onlyri ==?rc"UR5$)z9 Fixture all of the CSV parsers using the Python engine. rgrhs rpython_parser_onlyrlrjrc"UR5$)z: Fixture all of the CSV parsers using the Pyarrow engine. rgrhs rpyarrow_parser_onlyrnrjrc/n/n[[[5Hup#[US5(aURSnUR HrnUR S:Xa[RROSn[R"U"5U4US9nURU5 URUSU35 Mt M XS.$)zU Return all allowable parser and float precision combinations and corresponding ids. valuesrrIr*rW-r[) zip _all_parsers_all_parser_idshasattrrpr r ramark single_cpur`append)r\r]rL parser_id precisionrvr`s r,_get_all_parser_float_precision_combinationsr{s F C ? 68 $ $]]1%F77I-3]]i-G6;;))RDLL&(I!6dCE MM% JJ)Ai[1 2 8 @ ))rr\r]cUR$)zF Fixture for all allowable combinations of parser and float precision rgrhs rall_parsers_all_precisionsr}s ==r)r )rq_utfUTFz{0})r\cUR$)z= Fixture for all possible integer values for a UTF encoding. rgrhs r utf_valuer ==rcUR$)z< Fixture for all possible string formats of a UTF encoding. rgrhs r encoding_fmtrrr)*)z-1,0)z-1,2e0g333333)z-1e0r)z+1e0?)z+1e+0r)z+1e-1皙?)z+,1e1r)z+1,e0r)z-,1e1r)z-1,e0r)z0,1r)z1,r)z,1r)z-,1g)z1_,r)z1_234,56 ףp=J@)z 1_234,56e0r)rr)-_r)-_1r)-_1e0r)_1r)_1,r)_1,_r)_1e0r)1,2e_1r)1,2e1_0r)1,_2r),1__2r),1er)-,1er) 1_000,000_000r)1,e1_2r)e11,2r)1e11,2r)1,2,2r)1,2_1r) 1,2e-10e1r)--1,2r)1a_2,1r)z1,2E-1gQ?)z1,2E1g(@cUR$)z Fixture for all numeric formats which should get recognized. The first entry represents the value to read while the second represents the expected result. rgrhs rnumeric_decimalrsh ==rcSUR;aURS5nO&SUR;aURS5SnOgURS:Xa/[RR SS9nUR U5 gg)z} Fixture that xfails a test if the engine is pyarrow. Use if failure is do to unsupported keywords or inconsistent results. rer}rNrIzpyarrow doesn't support this.reason) fixturenamesgetfixturevaluer rarvxfail applymarker)rdrLrvs r pyarrow_xfailrs,,,((7 %)=)= =(()EFqI }} !{{  (G HD!"rcSUR;aURS5nO&SUR;aURS5SnOgURS:Xa[R"SS9 gg)zw Fixture that skips a test if the engine is pyarrow. Use if failure is do a parsing failure from pyarrow.csv.read_csv rer}rNrIz,https://github.com/apache/arrow/issues/38676r)rrr raskip)rdrLs r pyarrow_skipr0sg,,,((7 %)=)= =(()EFqI }} ! IJ"r)3 __future__rrSrapandas.compat._optionalrpandasrrpandas._testing_testingrrr5r<r@rCrGfixturerPrV_cParserHighMemory_cParserLowMemory _pythonParser_pyarrowParser_py_parsers_only_c_parsers_onlyr`rvrw_pyarrow_parsers_onlyrs_py_parser_ids _c_parser_ids_pyarrow_parsers_idsrtrerirlrnr{r} _utf_values_encoding_seps_encoding_prefixes_encoding_fmtsrrrrr)sepprefixs00rrs" ,7/7/t;j; w%:% %J% ,,DD'$ !?%'89nFKK