Ug!dZddlZddlZddlZddlmZddlmZddlm Z ddl Z ddl Z ddl mZddl mZddlZddlmZddlmZdd lmZdd lmZdd lmZdd lmZmZdd lm Z ddl!m"Z"ddl#m$Z$ddl%m&Z&ddl'm(Z(ddl)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/ddl0m1Z1m2Z2ddl3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;mm?Z?ddl@mAZAmBZBmCZCmDZDmEZEmFZFddlGmHZHmIZImJZJmKZKmLZLmMZMmNZNmOZOmPZPmQZQmRZRmSZSmTZTmUZUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`dZadZbe jcdde jeedejfddggdZhdZid Zjd!Zke jcdd"e jld#fe jmd$fe jmd#fge jcdd%e jnejogd&Zpe jcdd'e jld(d)d*fe jldd)d+fe jld,d)d-fe jldd$d+fe jmd(d)d.fe jmdd)d/fe jmd0d)d1fe jmd(d2d3fe jmd(d4d.fg e jcdd%e jnejogd5Zqe jcdd6gd7e jcdd%e jnejogd8Zrd9Zse jcdd:e jtd4e jmggd;fe jtd4e jmggd;fe jtd4e jlggdfge jcdd?d)d#gd@ZvdAZwe|t }t |d}|jtj ksJtjdtj}t |d|usJtj|}tjt |dsJt'jtjdt-ddd g}|D]J}t |d}tj|d <tj|rJKdS) N) dtyperWFcopyT)rV皙?)densityrr)rIonesint32arangerrYfloat32astypeint64float64boolint8int16uint8uint16uint32objectasfortranarray isfortransp csc_matrixtoarrayrnanisnanany)XX2 tested_dtypesrYmatricesMNs rStest_as_float_arrayr}msY rx(((A BIb ) ) ))A  & & &B 8rz ! ! ! ! A  % % %B !% ( ( ( 1 1 1 1 8rz ! ! ! !27BHbh")RYWM&& HHUOO A  x2:%%%%% A  % % %B 8rz ! ! ! ! bj)))A !% ( ( (A - - - - !A <qt444 5 5555 bill##++--b"d333;;==H%% 14 ( ( (&$8A;;??$$$$$$%%rwrWr\rWr\ctj|d<tj|d<t|d}t||dS)N)r]r) allow-nanforce_all_finite)rIrtrr)rw X_converteds rStest_as_float_array_nanrs@fAdGfAdG [AAAK a00000r~ctjddd}tt |tjrJtt t j|tjrJdS)N rV)rIrcreshape isinstancermatrixrqrrrws rStest_np_matrixrso " a##A.++RY77777.q)9)9::BIFFFFFFFr~cxd}td5}tj|dtj}d|dd<ttj|fD]O}||}d|dd<t ||d|dd<P ddddS#1swxYwYdS)Nc$t|dS)NFrZ)r)xs rSztest_memmap..snQU333r~z sklearn-test)prefixrWrW)shaperYrr)rrImemmaprdrasarrayr ravel)asflttmpr{frws rS test_memmaprs  4 3E > 2 2 2c Ic < < <!!!rz51  A!AAaaaD qwwyy!'')) 4 4 4AaaaDD   sB B//B36B3c^tjd}||jfD]Q}dD]L}t|d|}|jdsJt|d|}|jdsJ|r||usJMRt j|}|jddd|_|jjdrJdS) N)rWr])TFC)orderr[ C_CONTIGUOUSF F_CONTIGUOUS)rIraTrflagsrq csr_matrixdata)rwAr[Bs rS test_orderingrs A V""! " "DASt444A7>* * * *ASt444A7>* * * * "zzzz  " aA VDDbD\AFv|N++++++r~zvalue, force_all_finiteFrretypec|tjdddt}||d<t ||d}t ||dS)Nrr\r`T)r accept_sparse)rIrcrrefloatrr)valuerrrw X_checkeds rS'test_check_array_force_all_finite_validrsn ry||##Aq))007788AAdGA0@PTUUUI I.....r~z.value, input_name, force_all_finite, match_msgTzInput contains infinityzInput X contains infinity sample_weightz%Input sample_weight contains infinityInput contains NaNzInput X contains NaNyzInput y contains NaNz allow-infz0force_all_finite should be a bool or "allow-nan"rc:|tjdddtj}||d<t jt|5t|||dddddS#1swxYwYdS)Nrr\r`matchT) input_namerr) rIrcrrergrOrPrQr)rrr match_msgrrws rS(test_check_array_force_all_finiteinvalidrs. ry||##Aq))00<<==AAdG z 3 3 3   !-                       s/BBBr)rwrrc|tjdddtj}tj|d<t }d|jjd}tj td|d5}t|||d dddn #1swxYwY|d kr||j jd vsJn||j jd vsJ|d krtj td|d5}t |tj|jd dddn #1swxYwY||j jd vsJdSdS) Nrr\r` aX does not accept missing values encoded as NaN natively. For supervised learning, you might want to consider sklearn.ensemble.HistGradientBoostingClassifier and Regressor which accept missing values encoded as NaNs natively. Alternatively, it is possible to preprocess the data, for instance by using an imputer transformer in a pipeline or drop samples with missing values. See https://scikit-learn.org/stable/modules/impute.html You can find a list of all estimators that handle NaN values at the following page: https://scikit-learn.org/stable/modules/impute.html#estimators-that-handle-nan-valueszInput z contains NaNrT) estimatorrrrwr)rIrcrrergrtr __class____name__rOrPrQrrargsfitrar)rrrr extended_msgctxs rS0test_check_array_links_to_imputer_doc_only_for_Xrs  6")A,,&&q!,,33BJ?? @ @DDJI -Y ) - - - z)K*)K)K)K L L L PS !                    Ssy~a00000039>!#44444S]:-Oj-O-O-O P P P 4TW EEIIdBGDJqM22 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4sy~a00000  10s%B;;B?B?AE**E.1E.cNtjddtjggtj}t |dd}||usJt |dd}||usJt jtd5t |dd ddddS#1swxYwYdS) NabrXrrYrFrrT) rIarrayrtrnrrrOrPrQ)rwrs rS(test_check_array_force_all_finite_objectr!s 3RV$%V4446AATKHHHI >>>>ATEBBBI >>>> z)= > > >::ATD9999::::::::::::::::::s:BB!Bz X, err_msgInput contains NaN.z5Input contains infinity or a value too large for.*intrXz#cannot convert float NaN to integerrctjt|5t|t|ddddS#1swxYwYdS)Nrr)rOrPrQrint)rwerr_msgrs rS7test_check_array_force_all_finite_object_unsafe_castingr.s0 z 1 1 1EEAS3CDDDDEEEEEEEEEEEEEEEEEEsAAAc tjd}|gd}dt|d}tjt |5t |dddddS#1swxYwYdS) z Check that we raise a proper error message when passing a Series and we expect a 2-dimensional container. 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CCA sV]]7 # #AcFA 5IIIIIt$$$ ?n , , , ,AUCCCIIt$$$ ?n , , , , C z - - -..A----..................s2EEEc(tjd}|dd|jgd}d}tjt |5t |dd d d d n #1swxYwYt |d d }t|ddtj g|j tj ksJt |d d tj }t|ddtj g|j tj ksJd S) z4Check check_array is correct with pd.NA in a series.rrr\Int64rXrrTF)rrN)rrrY) rOrrNArPrQrrrIrtrYrgrd)rX_int64rX_outs rS*test_check_array_panadas_na_support_seriesr. s[  X & &BiiAru Wi55G C z - - -EEGdeDDDDEEEEEEEEEEEEEEE %5 I I IEEAq"&>*** ;"* $ $ $ $ %5    EEAq"&>*** ;"* $ $ $ $ $ $sA00A47A4c&tjd}tjgdgdgdgtj}||}t |jtjksJt |tjtjksJ| dtj i}t|j tj tjtjft |jtjksJt |tjtjksJ| dtj i}t |jtjksJt |tjtjksJ| dtj i}t |jtjksJt |tjtjksJ| tj }t |jtj ksJt |tjtjksJ|d|gdi}t |jtjksJt |tjtjksJdS) Nrrrr]rr rXrr\cat_col)rOrrIrrdr%rrYr,refloat16r rrjrg Categoricalrf)rrwX_dfcat_dfs rS%test_check_array_pandas_dtype_castingr9"sw  X & &B )))YYY 2"*EEEA <<??D t   "bj 0 0 0 0 t< 0 0 0 6"* D D D D ;;2: ' 'Dt{RZRZ$HIII t   "bj 0 0 0 0 t< 0 0 0 6"* D D D D ;;28} % %D t   "bj 0 0 0 0 t< 0 0 0 6"* D D D D ;;2: ' 'D t   "bj 0 0 0 0 t< 0 0 0 6"* D D D D ;;rx D t   "bh . . . . t< 0 0 0 6"* D D D D \\9bnnYYY&?&?@ A AF v   $ 0 0 0 0 v\ 2 2 2 8BJ F F F F F Fr~c.tjddgddgddgddgg}t|}t|}|j|jksJt|tj}|jtjtjksJdS)Ng?gffffff?g333333?g?g?r^rX)rIrrrrYrd)arrmock_df checked_arrs rS"test_check_array_on_mock_dataframer>Gs (S#Jc S#Jc C D DCC  Gg&&K   ) ) ) )gRZ888K   4 4 4 4 4 4 4 4r~cgdgdgdg}t|jjdksJt|djjdksJdS)Nrr0r1iFr)rrYkindrs rS test_check_array_dtype_stabilityrBPsa IIIyyy)A q>>  $ + + + + qE * * * 0 5 < < < < < |j d|_ |j d|_ |VdS)NrW)rrcoordsc3@K|]}|dVdS)rfN)re)rvs rS zX_64bit..s.AA1QXXg..AAAAAAr~rf) rqrandparamrtuplerWrowrecolindicesindptr)requestrws rSX_64bitrcs Bw}---A} 1h   * AAAAAAAAHHELL))AEELL))AEEI$$W-- 8??7++ GGGGGr~c*t|dddS)NT)accept_large_sparser)r)rcs rS1test_check_array_accept_large_sparse_no_exceptionrfsTFFFFFFr~cd}tjt|5t|ddddddS#1swxYwYdS)NzbOnly sparse matrices with 32-bit integer indices are accepted. Got int64 indices. Please do reportrTF)rrer)rcrs rS4test_check_array_accept_large_sparse_raise_exceptionrhs < z - - -LLG4UKKKKLLLLLLLLLLLLLLLLLLs>AAc8d}tjt|5tggdddn #1swxYwYd}tjt|5tgddddn #1swxYwYd}tjt|5tdddddn #1swxYwYt jd}t jd }d }tjt|5t||d dddn #1swxYwYtjt|5t||d d dddn #1swxYwYt jd}t jd }d}tjt|5t||ddddn #1swxYwYtjt|5t||dddddn #1swxYwYt jd dd}t jd}d}tjt|5t||dddn #1swxYwYt jd}t jd}t||d\}}t||t||dS)NzC0 feature\(s\) \(shape=\(1, 0\)\) while a minimum of 1 is required.rz@0 sample\(s\) \(shape=\(0,\)\) while a minimum of 1 is required.FrzDSingleton array array\(42\) cannot be considered a valid collection.rF)rrWrzC1 sample\(s\) \(shape=\(1, 10\)\) while a minimum of 2 is required.r\)ensure_min_samples)rjrrzD2 feature\(s\) \(shape=\(10, 2\)\) while a minimum of 3 is required.rV)ensure_min_featuresT)rkrrrWzD0 feature\(s\) \(shape=\(10, 0\)\) while a minimum of 1 is required.)rWrrlr) rOrPrQrrrIraremptyrr )rrwrr y_checkeds rS2test_check_array_min_samples_and_features_messagesros SC z - - -RD NC z - - -))B%(((())))))))))))))) UC y , , ,))B%(((())))))))))))))) A  A SC z - - -..!Q1----............... z - - -??!Q1>>>>??????????????? A  A TC z - - -//!QA..../////////////// z - - ->>!QA====>>>>>>>>>>>>>>>  B""A  A TC z - - -!Q   A  A$QD999Iyq)$$$q)$$$$$s;??#BBB)CC C D66D:=D:E<<FF G++G/2G/H11H58H5J22J69J6ctjgdgdg}tjtd5t |dddn #1swxYwYgdgdg}tjtd5t |dddn #1swxYwYd}tjtd5t |dddn #1swxYwYtjgdtjgdg}tjtd5t |dddn #1swxYwYtjgdtjgdf}tjtd5t |dddn #1swxYwYt tjgdgdg}tjtd5t |dddn #1swxYwYtjddgddgg}tjtd5t |dddn #1swxYwYtjgd}tjtd5t|ddddS#1swxYwYdS) N?@@@@@@@@@@@zComplex data not supportedr)rqrurrr)rrrsrtrvrwrx) rIrrOrPrQrrrq coo_matrixr3)rwrs rS#test_check_array_complex_data_errorrz s ***,D,D,DEFFA z)E F F FA " ! !#;#;#;.TestClassWithDeprecatedFitMethodz7Deprecated for the purpose of testing has_fit_parameterNcdSNr)selfrwrrs rSrzDtest_has_fit_parameter..TestClassWithDeprecatedFitMethod.fit= Dr~r)r __module__ __qualname__rrrr~rS TestClassWithDeprecatedFitMethodr}<s? M N N    O N   r~rz=has_fit_parameter fails for class with deprecated fit method.)rDrr r)rs rStest_has_fit_parameterr6s !5GGGGG 2O D DDDD S/ 2 2222 SUUO 4 4444 (/  GGFGGGGGr~c tjddgddgg}tjd}tjddgddgg}|tj|tj|tj|tj|tj|tj |d}tj t5t|dddn #1swxYwY|D]\}}tjt 5t|dddn #1swxYwYtj t5t|ddddn #1swxYwYt|d}tj|r0|j|ksJt'||t'||dS) Nrrr\)denserrrRrlilrST)raise_exceptionF) raise_warning)rIrrarq dok_matrixrrrry lil_matrix bsr_matrixrOrPrQritemswarns UserWarningissparserr rs)arr_symarr_badarr_asym test_arrays arr_formatr;outputs rStest_check_symmetricrFshAA'((GgajjGx!Q!Q())H}X&&}X&&}X&&}X&&}X&&}X&&K z " "!!   !!!!!!!!!!!!!!!',,.. 0 0 C \+ & & ! ! C  ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ]: & & 7 7 C 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7!E::: ;v   0=J.... v~~// 9 9 9 9 vw / / / / 0 0s6C44C8;C81E  E E 1FF F cGddt}tjt5t |dddn #1swxYwYt |dS)NceZdZdZdZdS)6test_check_is_fitted_with_is_fitted..Estimatorcd|_|S)NT)r6)rkwargss rSrz:test_check_is_fitted_with_is_fitted..Estimator.fitks"DOKr~c0t|do|jS)Nr6)rr6rs rS__sklearn_is_fitted__zLtest_check_is_fitted_with_is_fitted..Estimator.__sklearn_is_fitted__os4..B4? Br~N)rrrrrrr~rS Estimatorrjs7    C C C C Cr~r)r rOrPr r>r)rs rS#test_check_is_fitted_with_is_fittedrisCCCCCMCCC ~ & &%% $$$%%%%%%%%%%%%%%%IIKKOO%%&&&&&sAAAc8tjt5ttdddn #1swxYwYtjt5tddddn #1swxYwYt }t } tjt 5t|dddn #1swxYwYtjt 5t|dddn #1swxYwYn#t$r JdwxYwd}d}tjt|5t||dddn #1swxYwYd}d }tjt|5t||dddn #1swxYwY|j t|j tt|Jt|JdS) NrFz&check_is_fitted failed with ValueErrorz!Random message %(name)s, %(name)sz+Random message ARDRegression, ARDRegressionr)rz"Another message %(name)s, %(name)szAnother message SVR, SVR) rOrPrr>rrr rQAttributeErrorrr )ardsvrrrs rStest_check_is_fittedrwsz y ! !'' &&&''''''''''''''' y ! ! //C %%C? ]> * * ! ! C  ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ]> * * ! ! C  ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ???>>>>>? .C 9E z / / /&&%%%%&&&&&&&&&&&&&&& /C &E ~U 3 3 3&&%%%%&&&&&&&&&&&&&&& CGZ\\ CGZ\\ 3   ' ' ' 3   ' ' ' ' 's;??A;;A?A?#D$<C D$CD$C D$<D D$DD$D D$$D9E99E=E=#GGGcGdd}d}|}t|ddgrJtjt|5t |ddgdddn #1swxYwYt|ddgt rJtjt|5t |ddgt dddn #1swxYwYt|ddgt rJtjt|5t |ddgt dddn #1swxYwYd |_t|ddgrJtjt|5t |ddgdddn #1swxYwYt|ddgt rJtjt|5t |ddgt dddn #1swxYwYt|ddgt sJt |ddgt d |_t|ddgsJt |ddgt|ddgt sJt |ddgt t|ddgt sJt |ddgt dS) NceZdZdZdS)4test_check_is_fitted_attributes..MyEstimatorc|Srrrrwrs rSrz8test_check_is_fitted_attributes..MyEstimator.fitsKr~N)rrrrrr~rS MyEstimatorrs#     r~rz not fitteda_b_) attributesr)r all_or_anyrr) r6rOrPr r>allrvrr)rrests rStest_check_is_fitted_attributesrs C +--C#4,777777 ~S 1 1 166t 5555666666666666666#4,3GGGGGG ~S 1 1 1FFt EEEEFFFFFFFFFFFFFFF#4,3GGGGGG ~S 1 1 1FFt EEEEFFFFFFFFFFFFFFFCF#4,777777 ~S 1 1 166t 5555666666666666666#4,3GGGGGG ~S 1 1 1FFt EEEEFFFFFFFFFFFFFFF ctTls C C CCCCCT4LSAAAA CF ctTl 3 3 3333CT4L1111 ctTls C C CCCCCT4LSAAAA ctTls C C CCCCCT4LSAAAAAAsZ A**A.1A.+CCCD88D<?D<:FF!FHHHwrap)singlelistr])idsct}tjtd5t ||dgdddn #1swxYwY|jt t ||dgtjtd5t ||dgddddS#1swxYwYdS)Nzis not fitted yetrcoef_ coef_bad_)rrOrPr r>rr )rrs rS$test_check_is_fitted_with_attributesrs[ //C ~-@ A A A..TT7)__---............... CGZ\\Cwi))) ~-@ A A A22TT;-00111222222222222222222s#AAA'CCCctdgdgdgdgdgtddgddgggddgddgtdgdtjdgtjd t jtd 5tddgdgdddn #1swxYwYt jtd 5tddgddddn #1swxYwYt jtd 5tddgtdddn #1swxYwYt jt5tddgtjddddn #1swxYwYt jtd 5tddgtddddS#1swxYwYdS)Nrr\rVrr]rr)r\rr\zinconsistent numbers of samplesrzgot <\w+ 'int'>zgot <\w+ 'object'>Expected sequence or array-like) r=rIrrqrrOrPrQrrnr rr~rStest_check_consistent_lengthrs&QC!qcA3444aVq!fX.Ac CCCQCrx}}bmF6K6KLLL z)J K K K--A,,,--------------- y(: ; ; ;++A***+++++++++++++++ y(= > > >22A111222222222222222 y ! !55A 444555555555555555 y(I J J JAAA(=(?(?@@@AAAAAAAAAAAAAAAAAAsZB((B,/B,C--C14C1D>>EE"%FFF9G%%G),G)c ddl}tjgdgdgdg}||gd}t |dS#t $rt dwxYw)Nrrr0r1)rrrr$zPandas not found)rrIrr%r= ImportErrorr)rrwr7s rS"test_check_dataframe_fit_attributers+ HiiiIII6 7 7||A'8'8'8|99%%%%% +++)***+s A A A'ctjdtjg}tjt 5t |dddn #1swxYwYtjdt |tjdtjt 5t |ddddS#1swxYwYdS)NrT) assume_finiteF) rIrinfrOrPrQr<sklearn set_configrs rStest_suppress_validationrsB !RVA z " "! 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