MhOV%SrSSKJr SSKrSSKJr SSKrSSKrSSK J r SSK J r SSK Jr SSKJr \(aSSKr\(aSS KJr SqS \S '/qS \S '\qSqS\S'SqS\S'1Sk1SkS.rSrS3S4SjjrS5S6SjjrSrS7Sjr Sr!0\RDS_\RFS_\RHS_\RJS_\RLS_\RNS_\RPS_\RRS_\RTS_\RVS_\RXS_\RZS_\R\S_\R^S_\R`S_\R$S _\RbS!_\RdS"\RfS#\RhS$\RjS%\RlS%\RnS&\RpS&\RrS'\RtS'\;S\RxS0 Er=S(r>S)r?\"\ "S*55 S+r@S&S%S'S,.rAS7S-jrBS3S8S.jjrCS3S8S/jjrDS3S4S0jjrES9S1jrFS:S2jrGg);zL Expressions ----------- Offer fast expression evaluation through numexpr ) annotationsN) TYPE_CHECKING) get_option)find_stack_level) roperator)NUMEXPR_INSTALLED)FuncTypez bool | None _TEST_MODE list[bool] _TEST_RESULTzFuncType | None _evaluate_where>boolint32int64float32float64>rrr)evaluatewherei@Bc|[(aUq[(a[O[q[(a[ qg[ qgN)r USE_NUMEXPR_evaluate_numexpr_evaluate_standardr _where_numexpr_where_standardrvs U/var/www/html/env/lib/python3.13/site-packages/pandas/core/computation/expressions.pyset_use_numexprr -s+ &1[!6HI*{^FFc[(a;[(a/Uc[R"5n[R"U5 gggr)rrnedetect_number_of_coresset_num_threads)ns rset_numexpr_threadsr':s7[[ 9))+A 1)r!c>[(a [S5 U"X#5$)z Standard evaluation. F)r _store_test_result)opop_strabs rrrCsz5! a8Or!cUbrUR[:a^[5nX#4H/n[US5(dMXVRR 1-nM1 [ U5(a [UU:agg)z,return a boolean if we WILL be using numexprdtypeTF)size _MIN_ELEMENTSsethasattrr/namelen_ALLOWED_DTYPES)r*r+r,r- dtype_checkdtypesos r_can_use_numexprr:Lsc  66M !"uFV1g&&ww||n,F v;;/+">&"H r!cSn[XX#S5(a]URRS5RS5nU(aX2p2UnUn[R "SUS3XgS.SS9nU(aX2p2[(a [USL5 Uc [XX#5nU$![ a N>[a [XU5(aNZef=f) Nr_rza_value z b_value)a_valueb_valuesafe local_dictcasting) r:__name__strip startswithr#r TypeErrorNotImplementedError_bool_arith_fallbackr r)r)r*r+r,r-result is_reversedr>r?s rrr_s FA*55kk'',77< q [[6((+'.CF qz6-. ~#B5 M)  " #Fq11  s B C'CC+*-/z**z==z!=z<==>&|^c0[R"XU5$r)npr)condr,r-s rrrs 88DQ r!cSn[SSXS5(a[R"SXUS.SS9nUc [XU5nU$)Nrz#where(cond_value, a_value, b_value)) cond_valuer>r?r@rA)r:r#rr)rWr,r-rJs rrrsL FgqW55 1&*QG  ~ !, Mr!zcompute.use_numexprcUR[:H$![a# [U[[R 45s$f=fr)r/rAttributeError isinstancerVbool_)xs r_has_bool_dtyper_s:/ww$ /!dBHH-../s*AA)rLrMrNc [U5(aX[U5(aHU[;a>[R"S[ U5S[ [U5S3[ 5S9 gg)z Check if we should fallback to the python `_evaluate_standard` in case of an unsupported operation by numexpr, which is the case for some boolean ops. z'evaluating in Python space because the z> operator is not supported by numexpr for the bool dtype, use z instead.) stacklevelTF)r__BOOL_OP_UNSUPPORTEDwarningswarnreprr)r+r,r-s rrIrIsh qoa00 ) ) MM9$v,H089:)E,-    r!cX[UnUbU(a [XX5$[XX5$)z Evaluate and return the expression of the op on a and b. Parameters ---------- op : the actual operand a : left operand b : right operand use_numexpr : bool, default True Whether to try to use numexpr. )_op_str_mappingr r)r*r,r- use_numexprr+s rrrs1R F  R. . b! //r!cR[ceU(a [XU5$[XU5$)z Evaluate the where condition cond on a and b. Parameters ---------- cond : np.ndarray[bool] a : return if cond is True b : return if cond is False use_numexpr : bool, default True Whether to try to use numexpr. )rr)rWr,r-rhs rrrs+   !,6$1 M/$12MMr!c Uq/qg)z Keeps track of whether numexpr was used. Stores an additional ``True`` for every successful use of evaluate with numexpr since the last ``get_test_result``. N)r r rs r set_test_moderksJLr!c>U(a[RU5 ggr)r append) used_numexprs rr)r)sL)r!c[n/qU$)z) Get test result and reset test_results. )r )ress rget_test_resultrqs CL Jr!)T)rrreturnNoner)rrrs)rrr)rhr)rnrrrrs)rrr )H__doc__ __future__roperatortypingrrcnumpyrVpandas._configrpandas.util._exceptionsr pandas.corerpandas.core.computation.checkrnumexprr#pandas._typingr r __annotations__r rr rr6r1r r'rr:raddraddmulrmulsubrsubtruedivrtruedivfloordiv rfloordivmodrmodpowrpoweqleltgegtand_rand_or_ror_xorrxordivmodrdivmodrgrrr_rbrIrrrkr)rqr!rrsd# %4!;' K j ! ?!A )   @&&R! LL#! NNC! LL#!NNC !  LL# ! NNC ! c!! t!! LL$! NND!!" LL$#!$NND%!& KK'!( KK)!* KK+!, KK KK KK MM3 OOS LL# NNC LL# NNC D tA!H $ 012/!s5$0( N * r!