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    md                     @   sl   d dl m  mZ d dlmZmZ d dlZi Z	G dd deZdddZ
dd	 Zd
d Zdd Zdd ZdS )    N)	dmatricesNAActionc                   @   s   e Zd Zdd ZdS )r   c                    sH   t j|d jd td}|D ]}||O }q|  || _ fdd|D S )Nr   )Zdtypec                    s   g | ]}| d f qS ). ).0vZ	good_maskr   Y/home/sam/Atlas/atlas_env/lib/python3.8/site-packages/statsmodels/formula/formulatools.py
<listcomp>   s     z,NAAction._handle_NA_drop.<locals>.<listcomp>)npZzerosshapeboolmissing_mask)selfvaluesZis_NAsZoriginsZ
total_maskZis_NAr   r   r   _handle_NA_drop   s    
zNAAction._handle_NA_dropN)__name__
__module____qualname__r   r   r   r   r   r      s   r   dropc           	      C   s   t |tt rtt| S t|d}|dk	rlt| |rTt|| |f|d|d}qt|| |f|d|d}n2t| drt|| |d|d}nt|| |d|d}t	|dd}t
|sd}t|dkr|d j}nd}|||fS )a;  
    Returns endog, exog, and the model specification from arrays and formula.

    Parameters
    ----------
    Y : array_like
        Either endog (the LHS) of a model specification or all of the data.
        Y must define __getitem__ for now.
    X : array_like
        Either exog or None. If all the data for the formula is provided in
        Y then you must explicitly set X to None.
    formula : str or patsy.model_desc
        You can pass a handler by import formula_handler and adding a
        key-value pair where the key is the formula object class and
        the value is a function that returns endog, exog, formula object.

    Returns
    -------
    endog : array_like
        Should preserve the input type of Y,X.
    exog : array_like
        Should preserve the input type of Y,X. Could be None.
    )Zon_NANZ	dataframe)return_typeZ	NA_actionr      )
isinstancetupleformula_handlerkeystyper   	data_utilZ_is_using_pandasr   getattrr
   anylendesign_info)	YXZformuladepthmissingZ	na_actionresultr   r    r   r   r   handle_formula_data   s6    
  


r&   c                 C   s"   ddl m} || kr| | | S )z,
    Remove intercept from Patsy terms.
    r   	INTERCEPT)
patsy.descr(   remove)termsr(   r   r   r   _remove_intercept_patsyQ   s    
r,   c                 C   s   ddl m} || jkS )Nr   r'   )r)   r(   r+   )r    r(   r   r   r   _has_intercept[   s    r-   c                    s0   ddl m  ddlm} | fdd| jD S )zR
    Returns boolean array index indicating which column holds the intercept.
    r   r'   )arrayc                    s   g | ]} |kqS r   r   )r   ir'   r   r   r	   f   s     z"_intercept_idx.<locals>.<listcomp>)r)   r(   numpyr.   r+   )r    r.   r   r'   r   _intercept_idx`   s    r1   c                 C   s"   ddl m} | jj}|||}|S )z
    r   )linear_constraint)Zpatsy.constraintr2   model
exog_names)Zmodel_resultsZtest_formular2   r4   ZLCr   r   r   make_hypotheses_matricesi   s    
r5   )r   r   )Zstatsmodels.tools.dataZtoolsdatar   Zpatsyr   r   r0   r
   r   r&   r,   r-   r1   r5   r   r   r   r   <module>   s   
9
	