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%%k?rc.VP\P\P4VP\P\P4VP\P\P 4VP\P\P4VP\P\P 4VP\P\P 4R#r)r r"halfsingledouble longdoublers&rtest_precisionTestHistogram.test_precisionzs "''299- "''299- "''2==1 "))RYY/ "))R]]3 "))R]]3rc4\.RO^^.4wr\.RO^^.4p\W24\P!.RO4p\V^RR7wr\V^RR7p\W24\VRRR7wr\VRRR7p\W24R#)r.rrNr3rrr)rrr r"r8)rr9r<r:rs& rtest_histogram_bin_edges&TestHistogram.test_histogram_bin_edgessL1a&1#L1a&95$hhCDCb :#Cb B5$CfF;#CfFC5$rc\P!^R.^ ,4p\P!\RR7;_uu_4\ V^ R7RRR4R# +'giR#;i)r.zToo many bins for data ranger{r/Ng?)r"r8r~raisesr7r)rrs& rtest_small_value_range$TestHistogram.test_small_value_rangesEhh9~*+ ]]:-K L L c #M L L Ls A A- z,Bad memory reports lead to OOM in ci testing)reasonc\P!R^.4pRpRp\P!R4p\P!WW43R7p\ \ V4\ R44R#)iii>)sampler0N)r.r4)r"rrKrr type)rrxbinsybinszbinsr9s& rtest_big_arraysTestHistogram.test_big_arrayssQ9a.) % ~~V%2GHT$Zf.rc\P!\P!R.RR7^RR7wr\P!^^.4p\W4R#)g$xz>f8rorNg$x)gx0gel )r"rr8r )rr9r< expected_hists& r test_gh_23110TestHistogram.test_gh_23110sC,,rxx 5A$%%79!Q( 4/rc Rp^^^^^^WWW^. p\P!VRR7wr4\V4^ 8gQhV^,V^,8XgQhVR,VR,8XgQhR#)r.rr/Ng?r[)r"rlen)rr<ZrNr:s& r test_gh_28400TestHistogram.test_gh_28400sq  1aAqQ1 3 QV4 6{RQx1Q4RyAbE!!!rrN),__name__ __module__ __qualname____firstlineno__rrr+r=rPr]r`rkrxrrrrrrrrrrrrrrrrrrr r rrrr~markskipr$r(r-__static_attributes____classdictcell__ __classdict__s@rrrs   "/'@!0G 5, 13:@<;0 7 I2 " *7 @%0'2#4 // @4 %$ [[KL/M/0""rrca]tRtRtoRtRtRtRtRtRt Rt R t R t R t ]PP!R .RO4R 4t]PP!R .RO4R4tRtRtRtVtR#)TestHistogramOptimBinNumsizQ Provide test coverage when using provided estimators for optimal number of bins c.ROpVFUp\.VR7wr4\V\P!^.44\V\P!^^.44KW R#)fdr/N)r<scottricesturgesdoanesqrtrstoner)restimator_list estimatorr)r*s& rr$TestHistogramOptimBinNums.test_emptysN<(IRi0DA q"((A3- 0 q"((Aq6"2 3(rc ^2R^R^R^R^R^R^R^R^/R R^R^R^R^ R^ R^R^ R^ /R R^R^R^#R^R^R^GR^R^//pVP4Fwr#\P!RRV^,^,4p\P!^^ V^,^,4p\P!WE34pVP4F:wrx\P!Wg4wr\ \ V 4VR V R V 2R 7K< K R#)z Straightforward testing with a mixture of linspace data (for consistency). All test values have been precomputed and the values shouldn't change r<r=r>r?r@rArrBFor the  estimator with datasize of err_msgNrr[)itemsr"r&rrr r+) r basic_testtestlenexpectedResultsx1x2rsrDnumbinsr)r*s & rr+%TestHistogramOptimBinNums.test_simples6T1wFA 1$aFAwKT1wFB 2$b&"fb'1NT2wFB 2$b&"fb'2O P )3(8(8(: $GS"glQ&67BQGqL1$45Bx(A&5&;&;&=" ||A1SVW L118 7;<'> );rc ^R^R^R^R^R^R^R^/^R^R^R^R^R^R^R^/^R^R^R^R^R^R^R^//pVP4F|wr#\P!V4P\4pVP4F:wrV\P !WE4wrx\ \V4VRV R V 2R 7K< K~ R #) z Smaller datasets have the potential to cause issues with the data adaptive methods, especially the FD method. All bin numbers have been precalculated. r<r=r>r?r@rArBrIrJrKN)rMr"rKrrjrr r+) r small_datrOrPtestdatrDexpbinsr)r*s & r test_small$TestHistogramOptimBinNums.test_smalls q'1faA !VQ<q'1faA !VQ<q'1faA !VQ< = )2(9 $Gii(//6G&5&;&;&=" ||G7SVW L118 7;<'>):rc P.ROpVFp\\\.ROV4K R#)zC Check a Value Error is thrown when an unknown string is passed in N)madfreeman histogramsIQRr.r4r5)r r7r)r check_listrDs& rtest_incorrect_methods0TestHistogramOptimBinNums.test_incorrect_methodss!= #I *iI F$rc \P!^d4pR^R^R^R^R^R^R^R^/pVP4F7wr4\P!W4wrV\ \ V4VV R 2R 7K9 R #) zt Check that methods handle no variance in data Primarily for Scott and FD as the SD and IQR are both 0 in this case r<r=r>r?r@rArrBz estimator, No Variance testrKN)r"rhrMrr r+)r novar_datasetnovar_resultdictrDrSr)r*s& rtest_novariance)TestHistogramOptimBinNums.test_novariances   !WaIq#Q61gqJ#3"8"8": I<< 9DA Q$-;.J!K M#;rc \P!R4p^VR&^dVRR%\VR4p\V^,^4\VR ,R4\ V4^d8gQh\VR4p\V\P !^^d.44\VR4p\V\P !^^d^ 44R#) zI Check when IQR is 0, but variance exists, we return a reasonable value. :Nr5NNrgY@r<r?r[)r"rhrr r+r8r&)r lim_var_data edges_autoedges_fd edges_sturgess& rtest_limited_variance/TestHistogramOptimBinNums.test_limited_varianceswwt}  R RS(v> Z]A&Z^T*:$$$&|T:XrxxC12+L)D ]BKK3$;.nbins_ratio.sh))''-C q 5Ar||Aw/23Sa9QRS9T5UqA; r)startstoprr rCrVN)g333333?g ףp= ?g{Gz?gQ?) r" geomspaceroundrrirTabsmeanr)rr geom_spacerr~llavgs& rtest_scott_vs_stone-TestHistogramOptimBinNums.test_scott_vs_stone*s  \\!<BBDKKCP KPQS9 U94:>:4{4&:>9 U"''"1%+,C!91E ? 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