rtjA ddlZddlZddlZddlmZddlmZmZddl m Z m Z m Z ddl mZddlmZmZddlmZddlmZdd lmZmZdd lmZmZdd lmZe d \ZZeedZeddeddcZ Z!ej"#dedfeddgfeddfedddgfedfedfeddgfgdZ$ej"#dedfedddfedddfeddddgfeddfeddfedddgfgej"#dd dgdZ%ej"#dgddZ&ej"#ddd gd!Z'ej"#dd dgd"Z(ej"#dd dgej"#ddd gd#Z)ej"#d$ee e!d%dd&ifee e!d'd&d(d)feeed*ddifgd+Z*ej"#dd dgd,Z+ej"#dd dgd-Z,ej"#dedd.dfedd.d fedfgd/Z-d0Z.ej"#dgd1d2Z/d3Z0ej"#d4edd5d6fedd5d6fedd5d6fedd7d6fedd7d8fedd7d8feedd9d:feedd9d:feedd9d:fedd5d6fedd7d6fedd5d6fedd7d6feddd5d6fed;dd7d6fgd<Z1dS)=N)clone)DBSCANKMeans) load_irismake_classificationmake_multilabel_classification)IsolationForest)LinearRegressionLogisticRegression)ClassifierChain)scale)DecisionTreeClassifierDecisionTreeRegressor)_get_response_values_get_response_values_binary)assert_allcloseT) return_X_yF)copydzestimator, response_method predict_probadecision_function) n_clusterspredictscorecttjdddtjddgdz}}t |||}d}tjt|5t|||d d d d S#1swxYwYd S) z;Check the error message with not supported response method.r rz%has none of the following attributes:matchresponse_methodN) nprandom RandomStaterandnarrayrfitpytestraisesAttributeErrorr) estimatorr#Xyerr_msgs _/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/sklearn/utils/tests/test_response.py#test_estimator_unsupported_responser2s 9  # # ) )"a 0 0"(Aq6A:2F2FqAi  $$Q**I5G ~W 5 5 5    +                      s B--B14B1)r random_stater3return_response_method_usedctjdddtjddgdz}}t |||}t||||}t|tr|dn|}t||}t|d|||dJ|r|d|ksJdSdS)z.Check the behaviour of `_get_response_values`.rrrrrr#r5N) r$r%r&r'r(rr)r isinstancelistgetattrr)r-r#r5r.r/resultschosen_response_methodprediction_methods r1"test_estimator_get_response_valuesr>4s" 9  # # ) )"a 0 0"(Aq6A:2F2FqAi  $$Q**I" '$? G)$??T_ +ABBGAJ 1 1! 4 4555 1:   "4qz333334433r#)rrrpredict_log_probactddd\}}t||}d}tjt |5t |||dd d d d S#1swxYwYd S) zVCheck that `_get_response_values` raises the proper error message with classifier.rrr n_samples n_classesr3zDpos_label=whatever is not a valid label: It should be one of \[0 1\]r whateverr# pos_labelN)rr r)r*r+ ValueErrorr)r#r.r/ classifierr0s r15test_get_response_values_classifier_unknown_pos_labelrJWs qq I I IDAq#%%))!Q//JVG z 1 1 1    +                       sA66A:=A:r@c,tddd\}}tj|}t||}d}t jt|5t|||ddddS#1swxYwYdS) zpCheck that `_get_response_values` will raise an error when `y_pred` has a single class with `predict_proba`.rrrrBzJGot predict_proba of shape \(10, 1\), but need classifier with two classesr r"N) rr$ zeros_likerr)r*r+rHr)r#r. y_two_classy_single_classrIr0s r1Htest_get_response_values_classifier_inconsistent_y_pred_for_binary_probarOls )2QRSSSNA{];//N'))--a@@J   z 1 1 1MMZOLLLLMMMMMMMMMMMMMMMMMMs)B  B B c tddddgd\}}t||}d}t|||d| }t |d|||d d ksJ|r|ddksJt||||jd| }t |d||d z|d dksJ|r|ddksJdSdS) zaCheck the behaviour of `_get_response_values` with `decision_function` and binary classifier.rr333333?ffffff?rrCrDweightsr3rNr#rGr5r)rr r)rrrclasses_)r5r.r/rIr#r;s r1>>>>>r?z estimator, X, y, err_msg, paramsz.Expected 'estimator' to be a binary classifierautozCpos_label=unknown is not a valid label: It should be one of \[0 1\]unknownrFz.be a binary classifier. Got 3 classes instead.ct|||}tjt|5t ||fi|ddddS#1swxYwYdS)zMCheck that we raise the proper error messages in _get_response_values_binary.r N)rr)r*r+rHr)r-r.r/r0paramss r1test_get_response_errorrcs:i  $$Q**I z 1 1 1<<#Iq;;F;;;<<<<<<<<<<<<<<<<<(*=>$( ***&FI FJ44X>>qqq!tDEEE >>>> o - - - -*>,o>$( ***&FI FJ88BBCCC >>>> 1 1 1 1 1 1 1r?)rrrc<td\}}tt||}t |||\}}|J|j|jksJ|dkr3t j|dk|dksJdS|dkr>|dk dksJ|dk dksJdSt j |dk|dksJdS)Nrr4r"rrr) rr r r)rrmr$rnrosum logical_or)r#r.Yr-r\rGs r1-test_get_response_values_multilabel_indicatorrxasB *q 9 9 9DAq 2 4 45599!Q??I,1oFI     <17 " " " "/))~fk6Q;77;;======= / / / !!A%%%% !!A%%%%%%}Vq[&A+66::<<<<<< 50% of samples" warning should not be raised when calling `type_of_target(classes_)`. Non-regression test for issue #31583. rxrZerrorrr"N) r$r%r&r'repeataranger r)warningscatch_warnings simplefilter UserWarningr)r.r/clfs r19test_response_values_type_of_target_on_classes_no_warningrxs  a  &&sA..A ")B--##A    " "1a ( (C  " "FFg{333S!_EEEEFFFFFFFFFFFFFFFFFFs-C  CCz7estimator, response_method, target_type, expected_shapebinary)r multiclass)rr| multilabel)rrr|ctjddd}|dkrtjddgdz}n(|dkrgd}ntjddgddggdz}t |||}t||| \}}|j|ksJd S) a Check that output shape corresponds to docstring description - for binary classification, it is a 1d array of shape `(n_samples,)`; - for multiclass classification - with response_method="predict", it is a 1d array of shape `(n_samples,)`; - otherwise, it is a 2d array of shape `(n_samples, n_classes)`; - for multilabel classification, it is a 2d array of shape `(n_samples, n_outputs)`; - for outlier detection, regression and clustering, it is a 1d array of shape `(n_samples,)`. rrrrrrr) rrrrZrrrrZrZrr"N) r$r%r&r'r(rr)rrm)r-r# target_typeexpected_shaper.r/r\r]s r1"test_response_values_output_shape_rsN a  &&r1--Ah HaVaZ   $ $ * * * Hq!fq!f%) * *i  $$Q**I$Y?SSSIFA <> ) ) ) ) ) )r?)2rnumpyr$r* sklearn.basersklearn.clusterrrsklearn.datasetsrrrsklearn.ensembler sklearn.linear_modelr r sklearn.multioutputr sklearn.preprocessingr sklearn.treerrsklearn.utils._responserrsklearn.utils._testingrr.r/rerfmark parametrizer2r>rJrOrXr^rcrhrjrqrsrxrrr?r1rs ******** -,,,,,EEEEEEEE//////''''''FFFFFFFFUUUUUUUU222222yD!!!1 E!%ttWag(   /2   ?4G"HI 1   / 1   1DEF 9   O,   _g67             Y' 11 - - -y9 11 - - -w7 11 - - - 7/CD a ( ( ()4 a ( ( (*=> a ( ( (+> *JK  6u FF44GF  4,JJJ   "*_>Q,RSSMMTSM"6u FF&1&1GF&1R6u FF*_>Q,RSS&&TSGF&R& " ! # #   <  '   # " $ $   R &Y ? ?   # " $ $ <  0  4<<54<6u FF--GF-66u FF11GF16  !! < < QR    23***"2226HHH===(FFF*=    y(E:    %@    2HeD    y,>     gF    2L'J ++-- . . <Q ++-- . .wW O..00 1 1       Ix7   I|U;   )Xu=   )\5A 1   y(E: 1   y,>)2**32***r?