
    >[gbA                         d dl mZ d dlmZ d dlmZmZ d dlZd dlm	Z	m
Z
mZmZmZ d Zd Zg dZej"                  j%                  d	e      d
        Zg dZej"                  j%                  de      d        Zy)    )import_module)	signature)IntegralRealN)IntervalInvalidParameterErrorgenerate_invalid_param_valgenerate_valid_parammake_constraintc                    | j                  dd      \  }}t        |      }t        ||      }t        |      }|j                  j                         D cg c]2  }|j                  |j                  |j                  fvr|j                  4 }}|j                  j                         D cg c]J  }|j                  |j                  u r0|j                  |j                  |j                  fvr|j                  L }}||||fS c c}w c c}w )N.   )rsplitr   getattrr   
parametersvalueskindVAR_POSITIONALVAR_KEYWORDnamedefaultempty)	func_modulemodule_name	func_namemodulefuncfunc_sigpfunc_paramsrequired_paramss	            ^/var/www/html/bid-api/venv/lib/python3.12/site-packages/sklearn/tests/test_public_functions.py_get_func_infor#      s   (//Q7K;'F69%DH $$++--A66!**AMM:: 	
-   $$++--A99AFF13C3CQ]]2S$S 	
-   K88s   7D )ADc           
         i }|D ]-  }||   dk(  rd||<   t        t        ||   d               ||<   / |rh|j                         }t        |      t        |      z
  }t        |      t        |      z
  }	d| d| d|	 d}
t        |      t        |      k(  sJ |
        t	        dd	i              }|D ]  }||   }|dk(  rt        d
 |D              r$t        d |D              rt        d| d| d      d| d| d}| d| d}
t        j                  t        |      5   | d	i i |||i t        j                  |
       ddd       |D cg c]  }t        |       }}|D ]]  }	 t        |      }| d| d}
t        j                  t        |      5   | d	i i |||i t        j                  |
       ddd       _  y# 1 sw Y   xY wc c}w # t        $ r Y w xY w# 1 sw Y   xY w)z|Check that an informative error is raised when the value of a parameter does not
    have an appropriate type or value.
    no_validationr   r   z>Mismatch between _parameter_constraints and the parameters of z%.
Consider the unexpected parameters z% and expected but missing parameters 
BadType c              3   f   K   | ])  }t        |t              xr |j                  t        k(   + y wN)
isinstancer   typer   .0
constraints     r"   	<genexpr>z3_check_function_param_validation.<locals>.<genexpr>N   s0      
)
 z8,LH1LL)   /1c              3   f   K   | ])  }t        |t              xr |j                  t        k(   + y wr*   )r+   r   r,   r   r-   s     r"   r0   z3_check_function_param_validation.<locals>.<genexpr>Q   s0      
)
 z8,HD1HH)r1   zThe constraint for parameter z of zc can't have a mix of intervals of Integral and Real types. Use the type RealNotInt instead of Real.zThe 'z' parameter of z must be .* Got .* instead.z@ does not raise an informative error message when the parameter zc does not have a valid type. If any Python type is valid, the constraint should be 'no_validation'.)matchNa   does not have a valid value.
Constraints should be disjoint. For instance [StrOptions({'a_string'}), str] is not a acceptable set of constraint because generating an invalid string for the first constraint will always produce a valid string for the second constraint.)r
   r   keyssetr,   any
ValueErrorpytestraisesr   failr	   NotImplementedError)r   r   r    r!   parameter_constraintsvalid_required_params
param_namevalidation_paramsunexpected_paramsmissing_paramserr_msgparam_with_bad_typeconstraintsr3   r/   	bad_values                   r"    _check_function_param_validationrF   '   s    %
 ,?01!*-0D 5j A! DE1!*-	 & 1668 12S5EE[)C0A,BB{@AR@S T00>/?rC 	
 $%[)99B7B9 2$y"b13!
+J7/)  
)
 
  
)
 
 /
|4	{ K/ /  ZL	{:UV 	
 k # %BB 	 ]]0>NM+MZ9LMNKK  ? FQQ[zz2[Q%J6zB	
 + 'L )  4EBHG/GYGHG$ CB! &S "@ ?> R
 '  CBs0   $$GG.G$G.G		G+*G+.G7)z%sklearn.calibration.calibration_curvez%sklearn.cluster.cluster_optics_dbscanz$sklearn.cluster.compute_optics_graphz"sklearn.cluster.estimate_bandwidthzsklearn.cluster.kmeans_plusplusz!sklearn.cluster.cluster_optics_xizsklearn.cluster.ward_treez'sklearn.covariance.empirical_covariancez(sklearn.covariance.ledoit_wolf_shrinkagez!sklearn.covariance.log_likelihoodz$sklearn.covariance.shrunk_covariancez sklearn.datasets.clear_data_homez#sklearn.datasets.dump_svmlight_filez#sklearn.datasets.fetch_20newsgroupsz.sklearn.datasets.fetch_20newsgroups_vectorizedz)sklearn.datasets.fetch_california_housingzsklearn.datasets.fetch_covtypezsklearn.datasets.fetch_kddcup99z sklearn.datasets.fetch_lfw_pairsz!sklearn.datasets.fetch_lfw_peoplez%sklearn.datasets.fetch_olivetti_faceszsklearn.datasets.fetch_rcv1zsklearn.datasets.fetch_openmlz,sklearn.datasets.fetch_species_distributionszsklearn.datasets.get_data_homez#sklearn.datasets.load_breast_cancerzsklearn.datasets.load_diabeteszsklearn.datasets.load_digitszsklearn.datasets.load_fileszsklearn.datasets.load_iriszsklearn.datasets.load_linnerudz"sklearn.datasets.load_sample_imagez#sklearn.datasets.load_svmlight_filez$sklearn.datasets.load_svmlight_fileszsklearn.datasets.load_winez sklearn.datasets.make_biclusterszsklearn.datasets.make_blobsz"sklearn.datasets.make_checkerboardzsklearn.datasets.make_circlesz$sklearn.datasets.make_classificationzsklearn.datasets.make_friedman1zsklearn.datasets.make_friedman2zsklearn.datasets.make_friedman3z(sklearn.datasets.make_gaussian_quantilesz!sklearn.datasets.make_hastie_10_2z%sklearn.datasets.make_low_rank_matrixzsklearn.datasets.make_moonsz/sklearn.datasets.make_multilabel_classificationz sklearn.datasets.make_regressionzsklearn.datasets.make_s_curvez)sklearn.datasets.make_sparse_coded_signalz'sklearn.datasets.make_sparse_spd_matrixz)sklearn.datasets.make_sparse_uncorrelatedz sklearn.datasets.make_spd_matrixz sklearn.datasets.make_swiss_rollz#sklearn.decomposition.sparse_encodez(sklearn.feature_extraction.grid_to_graphz'sklearn.feature_extraction.img_to_graphz3sklearn.feature_extraction.image.extract_patches_2dz<sklearn.feature_extraction.image.reconstruct_from_patches_2dzsklearn.feature_selection.chi2z#sklearn.feature_selection.f_classifz&sklearn.feature_selection.f_regressionz-sklearn.feature_selection.mutual_info_classifz0sklearn.feature_selection.mutual_info_regressionz&sklearn.feature_selection.r_regressionz%sklearn.inspection.partial_dependencez)sklearn.inspection.permutation_importancez!sklearn.isotonic.check_increasingz$sklearn.isotonic.isotonic_regressionzsklearn.linear_model.enet_pathzsklearn.linear_model.lars_pathz#sklearn.linear_model.lars_path_gramzsklearn.linear_model.lasso_pathz"sklearn.linear_model.orthogonal_mpz'sklearn.linear_model.orthogonal_mp_gramz%sklearn.linear_model.ridge_regressionz)sklearn.manifold.locally_linear_embeddingzsklearn.manifold.smacofz#sklearn.manifold.spectral_embeddingz sklearn.manifold.trustworthinesszsklearn.metrics.accuracy_scorezsklearn.metrics.aucz'sklearn.metrics.average_precision_scorez'sklearn.metrics.balanced_accuracy_scorez sklearn.metrics.brier_score_lossz'sklearn.metrics.calinski_harabasz_scorezsklearn.metrics.check_scoringz"sklearn.metrics.completeness_scorez'sklearn.metrics.class_likelihood_ratiosz%sklearn.metrics.classification_reportz2sklearn.metrics.cluster.adjusted_mutual_info_scorez*sklearn.metrics.cluster.contingency_matrixzsklearn.metrics.cluster.entropyz-sklearn.metrics.cluster.fowlkes_mallows_scorez:sklearn.metrics.cluster.homogeneity_completeness_v_measurez4sklearn.metrics.cluster.normalized_mutual_info_scorez*sklearn.metrics.cluster.silhouette_samplesz(sklearn.metrics.cluster.silhouette_scorez!sklearn.metrics.cohen_kappa_scorez sklearn.metrics.confusion_matrixzsklearn.metrics.consensus_scorezsklearn.metrics.coverage_errorz'sklearn.metrics.d2_absolute_error_scorez!sklearn.metrics.d2_log_loss_scorez sklearn.metrics.d2_pinball_scorez sklearn.metrics.d2_tweedie_scorez$sklearn.metrics.davies_bouldin_scorezsklearn.metrics.dcg_scorezsklearn.metrics.det_curvez(sklearn.metrics.explained_variance_scorezsklearn.metrics.f1_scorezsklearn.metrics.fbeta_scorezsklearn.metrics.get_scorerzsklearn.metrics.hamming_losszsklearn.metrics.hinge_lossz!sklearn.metrics.homogeneity_scorezsklearn.metrics.jaccard_scorez5sklearn.metrics.label_ranking_average_precision_scorez"sklearn.metrics.label_ranking_losszsklearn.metrics.log_losszsklearn.metrics.make_scorerz!sklearn.metrics.matthews_corrcoefzsklearn.metrics.max_errorz#sklearn.metrics.mean_absolute_errorz.sklearn.metrics.mean_absolute_percentage_errorz#sklearn.metrics.mean_gamma_deviancez!sklearn.metrics.mean_pinball_lossz%sklearn.metrics.mean_poisson_deviancez"sklearn.metrics.mean_squared_errorz&sklearn.metrics.mean_squared_log_errorz%sklearn.metrics.mean_tweedie_deviancez%sklearn.metrics.median_absolute_errorz+sklearn.metrics.multilabel_confusion_matrixz!sklearn.metrics.mutual_info_scorezsklearn.metrics.ndcg_scorez%sklearn.metrics.pair_confusion_matrixz#sklearn.metrics.adjusted_rand_scorez-sklearn.metrics.pairwise.additive_chi2_kernelz$sklearn.metrics.pairwise.chi2_kernelz)sklearn.metrics.pairwise.cosine_distancesz*sklearn.metrics.pairwise.cosine_similarityz,sklearn.metrics.pairwise.euclidean_distancesz,sklearn.metrics.pairwise.haversine_distancesz)sklearn.metrics.pairwise.laplacian_kernelz&sklearn.metrics.pairwise.linear_kernelz,sklearn.metrics.pairwise.manhattan_distancesz0sklearn.metrics.pairwise.nan_euclidean_distancesz0sklearn.metrics.pairwise.paired_cosine_distancesz)sklearn.metrics.pairwise.paired_distancesz3sklearn.metrics.pairwise.paired_euclidean_distancesz3sklearn.metrics.pairwise.paired_manhattan_distancesz6sklearn.metrics.pairwise.pairwise_distances_argmin_minz)sklearn.metrics.pairwise.pairwise_kernelsz*sklearn.metrics.pairwise.polynomial_kernelz#sklearn.metrics.pairwise.rbf_kernelz'sklearn.metrics.pairwise.sigmoid_kernelz"sklearn.metrics.pairwise_distancesz)sklearn.metrics.pairwise_distances_argminz*sklearn.metrics.pairwise_distances_chunkedz&sklearn.metrics.precision_recall_curvez/sklearn.metrics.precision_recall_fscore_supportzsklearn.metrics.precision_scorezsklearn.metrics.r2_scorezsklearn.metrics.rand_scorezsklearn.metrics.recall_scorezsklearn.metrics.roc_auc_scorezsklearn.metrics.roc_curvez'sklearn.metrics.root_mean_squared_errorz+sklearn.metrics.root_mean_squared_log_errorz$sklearn.metrics.top_k_accuracy_scorezsklearn.metrics.v_measure_scorezsklearn.metrics.zero_one_lossz)sklearn.model_selection.cross_val_predictz'sklearn.model_selection.cross_val_scorez&sklearn.model_selection.cross_validatez&sklearn.model_selection.learning_curvez.sklearn.model_selection.permutation_test_scorez(sklearn.model_selection.train_test_splitz(sklearn.model_selection.validation_curvez"sklearn.neighbors.kneighbors_graphz(sklearn.neighbors.radius_neighbors_graphz*sklearn.neighbors.sort_graph_by_row_valuesz'sklearn.preprocessing.add_dummy_featurezsklearn.preprocessing.binarizez$sklearn.preprocessing.label_binarizezsklearn.preprocessing.normalizezsklearn.preprocessing.scalez7sklearn.random_projection.johnson_lindenstrauss_min_dimzsklearn.svm.l1_min_czsklearn.tree.export_graphvizzsklearn.tree.export_textzsklearn.tree.plot_treezsklearn.utils.gen_batcheszsklearn.utils.gen_even_sliceszsklearn.utils.resamplezsklearn.utils.safe_maskz$sklearn.utils.extmath.randomized_svdz/sklearn.utils.class_weight.compute_class_weightz0sklearn.utils.class_weight.compute_sample_weightz6sklearn.utils.graph.single_source_shortest_path_lengthr   c                 Z    t        |       \  }}}}t        |d      }t        |||||       y)z]Check param validation for public functions that are not wrappers around
    estimators.
    _skl_parameter_constraintsN)r#   r   rF   )r   r   r   r    r!   r<   s         r"   test_function_param_validationrI   Q  s:    
 5C;4O1D)[/#D*FG$io7L    ))z$sklearn.cluster.affinity_propagationz#sklearn.cluster.AffinityPropagation)zsklearn.cluster.dbscanzsklearn.cluster.DBSCAN)zsklearn.cluster.k_meanszsklearn.cluster.KMeans)zsklearn.cluster.mean_shiftzsklearn.cluster.MeanShift)z#sklearn.cluster.spectral_clusteringz"sklearn.cluster.SpectralClustering)z"sklearn.covariance.graphical_lassoz!sklearn.covariance.GraphicalLasso)zsklearn.covariance.ledoit_wolfzsklearn.covariance.LedoitWolf)zsklearn.covariance.oaszsklearn.covariance.OAS)z#sklearn.decomposition.dict_learningz(sklearn.decomposition.DictionaryLearning)z*sklearn.decomposition.dict_learning_onlinez1sklearn.decomposition.MiniBatchDictionaryLearning)zsklearn.decomposition.fasticazsklearn.decomposition.FastICA)z0sklearn.decomposition.non_negative_factorizationzsklearn.decomposition.NMF)z"sklearn.preprocessing.maxabs_scalez"sklearn.preprocessing.MaxAbsScaler)z"sklearn.preprocessing.minmax_scalez"sklearn.preprocessing.MinMaxScaler)z%sklearn.preprocessing.power_transformz&sklearn.preprocessing.PowerTransformer)z(sklearn.preprocessing.quantile_transformz)sklearn.preprocessing.QuantileTransformer)z"sklearn.preprocessing.robust_scalez"sklearn.preprocessing.RobustScalerzfunc_module, class_modulec                 2   t        |       \  }}}}|j                  dd      \  }}t        |      }t        ||      }	t        |d      }
t        |	d      }i ||
}|j	                         D ci c]  \  }}||v s|| }}}t        |||||       yc c}}w )zYCheck param validation for public functions that are wrappers around
    estimators.
    r   r   rH   _parameter_constraintsN)r#   r   r   r   itemsrF   )r   class_moduler   r   r    r!   r   
class_namer   klassparameter_constraints_funcparameter_constraints_classr<   kvs                  r"   #test_class_wrapper_param_validationrU   z  s     5C;4O1D)[/*11#q9K;'FFJ'E!(/K!L")%1I"J
%
$
 /4466A!{:J16   %io7L	s   .B;B)	importlibr   inspectr   numbersr   r   r8   sklearn.utils._param_validationr   r   r	   r
   r   r#   rF   PARAM_VALIDATION_FUNCTION_LISTmarkparametrizerI   #PARAM_VALIDATION_CLASS_WRAPPER_LISTrU   r(   rJ   r"   <module>r^      s    #  "  9.Z%zJ" Z (FG
 H
' #6 !DrJ   