h>rSrSSKJr SSKrSSKrSSKJr SSKJr SSK J r SSK J r SSK JrJr \(a SS KJr SS KJr SS jr\R*"S S 55r\\r"SS5r\R*"SS55rSSjrSSjrSSSjjrSSjrg)z Results of coverage measurement.) annotationsN)Iterable) TYPE_CHECKING) ConfigError) nice_pair)TArcTLineNo) CoverageData) FileReporterAnalysisc UR5nUR5nUR5nURURU5=(d /5nU(Ga1UR 5nUR U5=(d /n UR U 5n [ R"[5n UHupXRU 5 M U R5V V s0sH%up[U 5S:XdMU [U 5S_M' nn n [5nU H:upX:waURX45 MX;dM%URXU 45 M< UR U5nUR5nUR5nO [5n[5n0n[5n[UUUUUUUUUUS9 $s sn n f)z'Create an Analysis from a FileReporter.r precisionfilenamehas_arcs statementsexcludedexecutedarc_possibilities_setarcs_executed_set exit_counts no_branch)rlinesexcluded_linestranslate_linesarcstranslate_arcs collections defaultdictsetadditemslenlistrno_branch_linesr )datar file_reporterrrrrrrrdestsfromnotonotonos single_destsnew_arcsrrrs n/root/racknerd_01/codex-conversation/amazon-q-terraform/.venv/lib/python3.13/site-packages/coverage/results.pyanalysis_from_file_reporterr0s}}H$$&J++-H,,TZZ-A-GRHH - 2 2 4#yy28b++D1'',1LF M  d #29>  8E}vUWX "FDKN "   5 LF~ f^,)LL&v*>!?@ !*88B#//1 !113 #E E 3+  ) s (GGc\rSrSr%SrS\S'S\S'S\S'S \S 'S \S 'S \S 'S \S'S \S'S\S'S \S'SSjrSSSjjrS SjrS!Sjr S"Sjr S#Sjr S#Sjr S$Sjr Srg)%r Mz(The results of analyzing a FileReporter.intrstrrboolr set[TLineNo]rrr set[TArc]rrzdict[TLineNo, int]rrc N^[TR5Tl[TR5TlTR TR - TlTR(adTR5nTR5n[U4SjUR555n[SUR555nOS=n=p4[TRS[TR 5[TR 5[TR5UUUS9Tlg)Nc3b># UH$upUTR;dM[U5v M& g7fN)missingr$).0kvselfs r/ )Analysis.__post_init__..ds)$] qPTP\P\G\VSVV s//c3<# UHup[U5v M g7fr:)r$)r<r=r>s r/r@rAes$D SVV srr)rn_files n_statements n_excluded n_missing n_branchesn_partial_branchesn_missing_branches)sortedrarc_possibilitiesr arcs_executedrrr;r_total_branchesmissing_branch_arcssumr#Numbersrr$rnumbers)r?rGmbarHrIs` r/ __post_init__Analysis.__post_init__\s!'(B(B!C#D$:$:;6 ==--/J**,C!$$] $]!] !$$D $D!D CD DJ D+nnT__-4==)$,,'!11   cU(a0UR(aUR5R5nOSn[URUR US9$)zThe missing line numbers, formatted nicely. Returns a string like "1-2, 5-11, 13-14". If `branches` is true, includes the missing branch arcs also. N)r)rrNr# format_linesrr;)r?branchesrs r/missing_formattedAnalysis.missing_formattedts@  ++-335DDDOOT\\EErUcF^U4SjTR5n[U5$)z:Returns a sorted list of the un-executed arcs in the code.c3># UHCnUTR;dMUSTR;dM*USTR;dM?Uv ME g7f)rrN)rrr)r<pr?s r/r@(Analysis.arcs_missing..sV +... !DNN* !DMM) A+sAAA A)rKrJ)r?r;s` r/ arcs_missingAnalysis.arcs_missings$ ++ grUc|URR5VVs/sHupUS:dM UPM snn$s snnf)z.sM&?U1955&?s  )rOrvaluesr?s r/rMAnalysis._total_branchess"Md&6&6&=&=&?MMMrUcUR5n[UR55n[R"[ 5nUH>upEXE:wdSUR SUSU35eXB;dM+X4RU5 M@ U$)zWReturn arcs that weren't executed from branch lines. Returns {l1:[l2a,l2b,...], ...} zIn z, didn't expect z == )r_r!rdrr r%rappend)r?r; branch_linesrRrbl2s r/rNAnalysis.missing_branch_arcss ##%4--/0 %%d+FB8 Ns4==/1A"T"N N8!r" rUc[UR55n[R"[5nUR HFup4X4:wdSU<SU<35eX44UR ;aM,X1;dM3X#RU5 MH U$)zReturn arcs that were executed from branch lines. Only include ones that we considered possible. Returns {l1:[l2a,l2b,...], ...} z+Oops: Didn't think this could happen: l1 = z, l2 = )r!rdrr r%rLrrn)r?roebarbrps r/executed_branch_arcsAnalysis.executed_branch_arcss4--/0 %%d+((FB8 VKbWHrgV V8xt999!r" )  rUcUR5n0nUR5H'nURUn[X5nXDU- 4X#'M) U$)zhGet stats about branches. Returns a dict mapping line numbers to a tuple: (total_exits, taken_exits). )rNrdrr$)r? missing_arcsstatslnumexitsr;s r/ branch_statsAnalysis.branch_statss\//1 &&(D$$T*E,,-G '/2EK) rU)rKrLr;rQN)returnNone)F)rXr5r}r4)r}z list[TArc])r}z list[TLineNo]r}r3)r}zdict[TLineNo, list[TLineNo]])r}zdict[TLineNo, tuple[int, int]])__name__ __module__ __qualname____firstlineno____doc____annotations__rSrYr_rdrMrNrtr{__static_attributes__rhrUr/r r Msi2NMN$$  ## 0 F KN $rUc6\rSrSrSrSSjrS SjrS SjrSrg) AnalysisNarrowera For reducing an `Analysis` to a subset of its lines. Originally this was a simpler method on Analysis, but that led to quadratic behavior. This class does the bulk of the work up-front to provide the same results in linear time. Create an AnalysisNarrower from an Analysis, bulk-add region lines to it with `add_regions`, then individually request new narrowed Analysis objects for each region with `narrow`. Doing most of the work in limited calls to `add_regions` lets us avoid poor performance. cXl[R"[5Ul[R"[5Ul[R"[ 5Ulgr:)analysisrr r!region2arc_possibilitiesregion2arc_executeddictregion2exit_counts)r?rs r/__init__AnalysisNarrower.__init__sF GRG^G^_bGc%BMBYBYZ]B^ JUJaJa K rUc^ URR(a0m UHn[U5nUHnUT U'M M SU 4SjjnU"URRUR5 U"URR UR 5 URRR5H0upgT RU5=n(dMXpRUU'M2 gg)z Pre-process a number of sets of line numbers. Later calls to `narrow` with one of these sets will provide a narrowed Analysis. c>UH_up#TRU5=n(aXRX#45 TRU5=n(dMKXRX#45 Ma gr:)getr")arc_set region2arcsabr line2regions r/ collect_arcs2AnalysisNarrower.add_regions..collect_arcss]$DA'OOA..q.#**A62'OOA..q.#**A62 $rUN)rr7rzdict[TRegionLines, set[TArc]]r}r~) rr frozensetrrrrrr#rr) r?linessrfzlineslinerlnonumrrs @r/ add_regionsAnalysisNarrower.add_regionss == ! !79K#E*!D(/K%"  3" 3: 3 3 <[>[ \ 88$:R:R S MM55;;=#,,1,69++A.s3>+ "rUc NURRU-nURRU-nURRU-nURR(aR[ U5nUR UnURUnURUnURRU-n O [5n[5n0n[5n [URRURRURRUUUUUUU S9 $)zxCreate a narrowed Analysis. The current analysis is copied to make a new one that only considers the lines in `lines`. r)rrrrrrrrrrr!r rr) r?rrrrrrrrrs r/narrowAnalysisNarrower.narrows]]--5 ==))E1==))E1 == ! !&G$($A$A'$J ! $ 8 8 A 11':K //%7I$'E ! # KImm--]]++]]++!"7/#  rU)rrrrN)rr r}r~)rzIterable[set[TLineNo]]r}r~)rr6r}r ) rrrrrrrrrrhrUr/rrs  :<& rUrc\rSrSr%SrSrS\S'SrS\S'SrS\S'Sr S\S'Sr S\S 'Sr S\S 'Sr S\S 'Sr S\S '\SS j5r\SSj5r\SSj5r\SSj5r\SSj5rSSjrSSjrSrg)rPi*zThe numerical results of measuring coverage. This holds the basic statistics from `Analysis`, and is used to roll up statistics across files. rr3rrCrDrErFrGrHrIc4URUR- $)z*Returns the number of executed statements.)rDrFrks r/ n_executedNumbers.n_executed<s  4>>11rUc4URUR- $)z(Returns the number of executed branches.)rGrIrks r/n_executed_branchesNumbers.n_executed_branchesAs!8!888rUcZURS:aURupSU-U- nU$SnU$)z/Returns a single percentage value for coverage.rY@)rD ratio_covered)r? numerator denominatorpc_covs r/ pc_coveredNumbers.pc_coveredFsB   q %)%7%7 "Ii';6F F rUcB[URUR5$)zReturns the percent covered, as a string, without a percent sign. Note that "0" is only returned when the value is truly zero, and "100" is only returned when the value is truly 100. Rounding can never result in either "0" or "100". )display_coveredrrrks r/pc_covered_strNumbers.pc_covered_strPst??rUclURUR-nURUR-nX4$)z:Return a numerator and denominator for the coverage ratio.)rrrDrG)r?rrs r/rNumbers.ratio_covered[s5OOd&>&>> ''$//9 %%rUc |[URURUR-URUR-URUR-UR UR -UR UR -URUR-URUR-5$r:) rPrrCrDrErFrGrHrIr?others r/__add__Numbers.__add__bs NN LL5== (    2 2 2 OOe.. . NNU__ , OOe.. .  # #e&>&> >  # #e&>&> >  rUcUS:XdeU$)Nrrhrs r/__radd__Numbers.__radd__nszz rUrhNr)r}float)r}r4)r}ztuple[int, int])rrPr}rP)rr3r}rP)rrrrrrrrCrDrErFrGrHrIpropertyrrrrrrrrrhrUr/rPrP*sIsGSL#JIsJ 2299@@&&  rUrPcSSU-- nSUs=:aU:aO OUnO$SU- Us=:aS:a O OSU- nO [X5nUSUS3$)zReturn a displayable total percentage, as a string. Note that "0" is only returned when the value is truly zero, and "100" is only returned when the value is truly 100. Rounding can never result in either "0" or "100". g? rrd.f)round)pcrnear0s r/rrtsY "i- E2~~  %-2 # # U] 2 !9+Q  rUc[U5n[U5n/nSnSnUHLnU[U5:a Oz, c3*# UH oSv M g7f)Nrh)r<ts r/r@format_lines..s6#5abE#5s)rrrJrnjoin) rrrpair line_items line_exitsrrzexdestrets r/rWrWs,:Fj9XY9X7IdO,9XJY D\ %KDUm$!#a2VD%%tvRv->&?@$& ))66*#56 6C JZsB&cxSUs=::aS::dO SUS3n[U5eUS:XaUS:wag[X5U:$)aDetermine if a total should fail due to fail-under. `total` is a float, the coverage measurement total. `fail_under` is the fail_under setting to compare with. `precision` is the number of digits to consider after the decimal point. Returns True if the total should fail. rrz fail_under=z' is invalid. Must be between 0 and 100.T)rr)total fail_underrmsgs r/should_fail_underrsN  $u $J<'NO#Uu~  "Z //rU) r'r rr3r(r rr4r}r )rrrr3r}r4)rIterable[TLineNo]rrr}zlist[tuple[TLineNo, TLineNo]]r:)rrrrrz.Iterable[tuple[TLineNo, list[TLineNo]]] | Noner}r4)rrrrrr3r}r5)r __future__rr dataclassescollections.abcrtypingrcoverage.exceptionsr coverage.miscrcoverage.typesrr coverage.datar coverage.pluginr r0 dataclassr r TRegionLinesrrPrrrWrrhrUr/rs'"$ +#(*,4 44 4 4  4n wwwt! \ \ ~ FFFR!$! #<<@ !    9  F0rU