%hgbSrSSKrSSKJr SSKJr SSKJrJr SSK J r "SS5r S S jr g) z SQL LexerN)Lock) TextIOBase)tokenskeywords)consumecb\rSrSrSrSr\"5r\S5r Sr Sr Sr Sr S rS S jrS rg) LexerznThe Lexer supports configurable syntax. To add support for additional keywords, use the `add_keywords` method.NcUR URc&U"5UlURR5 SSS5 UR$!,(df  UR$=f)zJReturns the lexer instance used internally by the sqlparse core functions.N)_lock_default_instancedefault_initialization)clss @/var/www/html/env/lib/python3.13/site-packages/sqlparse/lexer.pyget_default_instanceLexer.get_default_instance0s\YY$$,(+%%%<<>$$$ Y$$$s 4A A.cUR5 UR[R5 UR [R 5 UR [R 5 UR [R5 UR [R5 UR [R5 UR [R5 UR [R5 UR [R5 UR [R5 g)zdInitialize the lexer with default dictionaries. Useful if you need to revert custom syntax settings.N)clear set_SQL_REGEXr SQL_REGEX add_keywordsKEYWORDS_COMMONKEYWORDS_ORACLEKEYWORDS_MYSQLKEYWORDS_PLPGSQL KEYWORDS_HQLKEYWORDS_MSACCESSKEYWORDS_SNOWFLAKEKEYWORDS_BIGQUERYKEYWORDSselfs rrLexer.default_initialization:s  8--. (223 (223 (112 (334 (//0 (445 (556 (445 (++,c /Ul/Ulg)zClear all syntax configurations. Useful if you want to load a reduced set of syntax configurations. After this call, regexps and keyword dictionaries need to be loaded to make the lexer functional again.N _SQL_REGEX _keywordsr!s rr Lexer.clearIs r$c[R[R-nUVVs/sH'up4[R"X25RU4PM) snnUlgs snnf)z.Set the list of regex that will parse the SQL.N)re IGNORECASEUNICODEcompilematchr')r"rFLAGSrxtts rrLexer.set_SQL_REGEXQsP  *$ #ZZ " ( (" -#  s.Ac:URRU5 g)z`Add keyword dictionaries. Keywords are looked up in the same order that dictionaries were added.N)r(append)r"rs rrLexer.add_keywordsYs h'r$cUR5nURHnX#;dM X2U4s $ [RU4$)zChecks for a keyword. If the given value is in one of the KEYWORDS_* dictionary it's considered a keyword. Otherwise, tokens.Name is returned. )upperr(rName)r"valuevalkwdicts r is_keywordLexer.is_keyword^s@ kkmnnF}{E))%;;% %r$c#:# [U[5(aUR5n[U[5(aOd[U[5(a,U(aUR U5nO6UR S5nO#[SR[U555e[U5nUHupEURHupgU"X5nU(dM[U[R5(aXxR54v O4U[R La!UR#UR55v [%X8R'5U- S- 5 M [R(U4v M g![ a UR S5nNf=f7f)as Return an iterable of (tokentype, value) pairs generated from `text`. If `unfiltered` is set to `True`, the filtering mechanism is bypassed even if filters are defined. Also preprocess the text, i.e. expand tabs and strip it if wanted and applies registered filters. Split ``text`` into (tokentype, text) pairs. ``stack`` is the initial stack (default: ``['root']``) zutf-8zunicode-escapez+Expected text or file-like object, got {!r}N) isinstancerreadstrbytesdecodeUnicodeDecodeError TypeErrorformattype enumerater'r _TokenTypegrouprPROCESS_AS_KEYWORDr=rendError) r"textencodingiterableposcharrexmatchactionms r get_tokensLexer.get_tokensksG dJ ' '99;D dC  e $ ${{8,9;;w/DI"F4:.0 0T?!IC$(OO T'(9(9:: '')++x::://!'')44%%'C-!"34%4llD(("*9;;'78D9s+A*F-E:>Crjs. %"A)A)HBr$