Aluode/PerceptionLabPortable
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ZKW dS W dS eN�yX Y dS w )9z�Compatibility fixes for older version of python, numpy and scipy7 8If you add content to this file, please give the version of the package9at which the fix is no longer needed.10� N)�optimize� )�parse� )�_get_threadpool_controller� �P� )Zwasm32Zwasm64)�sparrayTFc C s | | kS �N� )�Xr r �}E:\DocsHouse\542 percep lab latest\PerceptionLab\PerceptionLab_Portable\python_embed\Lib\site-packages\sklearn/utils/fixes.py�_object_dtype_isnan6 s r c C sP t td�kr tjj| |dd�}t td�kr |d u r t�|�}|S tjj| |d�S )N�1.9.0T)�axisZkeepdimsz1.10.999�r )�11sp_version�
parse_version�scipy�stats�mode�np�ravel)�ar r r r r �_mode; s 12r z1.12.0c K s> d|v r |� d�|d< d|vrd|d< tjjj| |fi |��S )NZrtolZtolZatol�legacy)�popr �sparse�linalg�cg)�A�b�kwargsr r r �_sparse_linalg_cgL s13 r$ c C s6 d}t t|�k rtj| dd�S tjj|dd�\}}|S )a� Estimate the optimal Yeo-Johnson transformation parameter (lambda).14 15 This function provides a compatibility workaround for versions of SciPy16 older than 1.9.0, where `scipy.stats.yeojohnson` did not return17 the estimated lambda directly.18 19 Parameters20 ----------21 _neg_log_likelihood : callable22 A function that computes the negative log-likelihood of the Yeo-Johnson23 transformation for a given lambda. Used only for SciPy versions < 1.9.0.24 25 x : array-like26 Input data to estimate the Yeo-Johnson transformation parameter.27 28 Returns29 -------30 lmbda : float31 The estimated lambda parameter for the Yeo-Johnson transformation.32 r )�����r )ZbrackN)�lmbda)r r r Zbrentr r Z33yeojohnson)Z_neg_log_likelihood�xZmin_scipy_version�_r& r r r �_yeojohnson_lambdaU s34 r) z1.11.0c C �@ | j |d�}| j|d�}|d ur |�� �� }|�� �� }||fS �Nr )�min�max�toarrayr �r
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r r r r r0 � � �c C rO r )rN r ZfminZfmaxrR r r r r2 � rS z1.25.0)�ComplexWarning�VisibleDeprecationWarningc C s� t | j�j}t |�t d�k r|jtjd�}|S t |�t d�kr!i nddi}| �dd�� |jtjd�jdi |��}W d � |S 1 sDw Y |S ) Nz2.2)r: �3�copyFz future.no_silent_downcastingTr )r � __version__� base_versionZfillnar �nanZoption_contextZ
infer_objects)�pd�frameZ48pd_versionZinfer_objects_kwargsr r r � pd_fillna� s �� 49��r] c C s� |dkrN|dv rP|dkr2t | j| jft| j| jd �dd�}| jj|dd�| _| jj|dd�| _d50S t t| j�d �}| jj|dd�| _| jj|dd�| _d51S d52S d53S ) a� Preserve indices dtype for SciPy < 1.12 when converting from DIA to CSR/CSC.54 55 For SciPy < 1.12, DIA arrays indices are upcasted to `np.int64` that is56 inconsistent with DIA matrices. We downcast the indices dtype to `np.int32` to57 be consistent with DIA matrices.58 59 The converted indices arrays are affected back inplace to the sparse container.60 61 Parameters62 ----------63 sparse_container : sparse container64 Sparse container to be checked.65 requested_sparse_format : str or bool66 The type of format of `sparse_container`.67 68 Notes69 -----70 See https://github.com/scipy/scipy/issues/19245 for more details.71 � dia_array)�csrZcoor_ r T)�arrays�maxval�check_contentsF)rW )ra N) � _smallest_admissible_index_dtyper5 r8 r- rI r3 Zastype�row�col)Zsparse_containerZoriginal_container_formatZrequested_sparse_formatZ index_dtyper r r �_preserve_dia_indices_dtype� s& 72�� ���rf r c C s t �t �t j�j�}t �t �t j�j�}|dur0|t �t j�jkr)td|� d���||kr0t jS t| t j�r9| f} | D ]M}t|t j�sMt dt73|�� d���t � |j t j
�s^td|j � d���t �|j t j�s�|smt j S |jdkrsq;|�� }|�� }||k s�||kr�t j S q;t jS ) a} Based on input (integer) arrays `a`, determine a suitable index data74 type that can hold the data in the arrays.75 76 This function returns `np.int64` if it either required by `maxval` or based on the77 largest precision of the dtype of the arrays passed as argument, or by their78 contents (when `check_contents is True`). If none of the condition requires79 `np.int64` then this function returns `np.int32`.80 81 Parameters82 ----------83 arrays : ndarray or tuple of ndarrays, default=()84 Input arrays whose types/contents to check.85 86 maxval : float, default=None87 Maximum value needed.88 89 check_contents : bool, default=False90 Whether to check the values in the arrays and not just their types.91 By default, check only the types.92 93 Returns94 -------95 dtype : {np.int32, np.int64}96 Suitable index data type (int32 or int64).97 Nzmaxval=z+ is to large to be represented as np.int64.z)Arrays should be of type np.ndarray, got z instead.z Array dtype z= is not supported for index dtype. We expect integral values.r )r Zint32Ziinfor, r- Zint64r> �98isinstanceZndarray� TypeErrorr6 Z99issubdtyper= �integerZcan_cast�size)r` ra rb Zint32minZint32maxZarr�minvalr r r rc s> 100� � �101102103�rc z1.12)� laplacianc C s4 z104| j |dd� W d S ty | � |� Y d S w )Nr7 )�filter)�105extractallrh )�tarfile�pathr r r �tarfile_extractallm s106 �rq c C s� ddl } ddl}t� �� }tdd� |D ��}|sdS td�}|D ]+}|d dkr)q |�d �}|�d107�}|du s;|du r> d S |d krKt|�|k rK d S q dS )
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