B
    0dK=                 @   s   d Z dZddgZddlZddlZddlmZmZ ddl	m
Z
 dd	lmZmZmZmZmZmZmZmZmZ ydd
lmZ W n ek
r   dd ZY nX G dd dee
eZdd ZdS )zDictionary Of Keys based matrixzrestructuredtext en
dok_matrixisspmatrix_dok    N   )spmatrix
isspmatrix)
IndexMixin)	isdensegetdtypeisshape	isintlikeisscalarlikeupcastupcast_scalarget_index_dtypecheck_shape)isSequenceTypec             C   s   t | dpt | dpt | dS )N__len____next__next)hasattr)x r   B/var/www/html/venv/lib/python3.7/site-packages/scipy/sparse/dok.py_is_sequence   s    r   c               @   s  e Zd ZdZdZdQddZdd Zd	d
 Zdd Ze	e
jedZdRddZdd Ze
jje_e
jje_dd ZdSddZdd Zdd Zdd Zdd Zdd  Zd!d" Zd#d$ Zd%d& Zd'd( Zd)d* Zd+d, Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Z d7d8 Z!d9d: Z"d;d< Z#d=d> Z$d?d@ Z%dAdB Z&dTdCdDZ'e
j'je'_dEdF Z(dGdH Z)e
j)je)_dUdIdJZ*e
j*je*_dVdKdLZ+e
j+je+_dWdMdNZ,e
j,je,_dOdP Z-e
j-je-_dS )Xr   a  
    Dictionary Of Keys based sparse matrix.

    This is an efficient structure for constructing sparse
    matrices incrementally.

    This can be instantiated in several ways:
        dok_matrix(D)
            with a dense matrix, D

        dok_matrix(S)
            with a sparse matrix, S

        dok_matrix((M,N), [dtype])
            create the matrix with initial shape (M,N)
            dtype is optional, defaulting to dtype='d'

    Attributes
    ----------
    dtype : dtype
        Data type of the matrix
    shape : 2-tuple
        Shape of the matrix
    ndim : int
        Number of dimensions (this is always 2)
    nnz
        Number of nonzero elements

    Notes
    -----

    Sparse matrices can be used in arithmetic operations: they support
    addition, subtraction, multiplication, division, and matrix power.

    Allows for efficient O(1) access of individual elements.
    Duplicates are not allowed.
    Can be efficiently converted to a coo_matrix once constructed.

    Examples
    --------
    >>> import numpy as np
    >>> from scipy.sparse import dok_matrix
    >>> S = dok_matrix((5, 5), dtype=np.float32)
    >>> for i in range(5):
    ...     for j in range(5):
    ...         S[i, j] = i + j    # Update element

    ZdokNFc       
   
   C   s<  t |  t|  t|td| _t|trLt|rL|\}}t	||f| _
nt|rt|rj|rj| }n| }|d k	r|j|dd}t | | t	|j| _
|j| _nyt|}W n, tk
r } ztd|W d d }~X Y nX t|jdkrtdddlm} |||d	 }	t | |	 t	|j| _
|	j| _d S )
N)defaultF)copyzInvalid input format.   z(Expected rank <=2 dense array or matrix.r   )
coo_matrix)dtype)dict__init__r   r	   floatr   
isinstancetupler
   r   _shaper   r   r   todokZastypeupdateshapenpZasarray	Exception	TypeErrorlencoor   )
selfZarg1r'   r   r   MNer   dr   r   r   r    J   s4    



zdok_matrix.__init__c             C   s   t dd S )Nz9Direct modification to dok_matrix element is not allowed.)NotImplementedError)r-   valr   r   r   r&   m   s    zdok_matrix.updatec             C   s   t | |S )zAn update method for dict data defined for direct access to
        `dok_matrix` data. Main purpose is to be used for effcient conversion
        from other spmatrix classes. Has no checking if `data` is valid.)r   r&   )r-   datar   r   r   _updater   s    zdok_matrix._updatec             C   s8   | j |dd| j}|j| _t|  t| | d S )NF)r   )ZreshapeZasformatformat__dict__r   clearr&   )r-   r'   Z
new_matrixr   r   r   	set_shapex   s    
zdok_matrix.set_shape)fgetfsetc             C   s   |d k	rt dt| S )Nz6getnnz over an axis is not implemented for DOK format.)r2   r   r   )r-   Zaxisr   r   r   getnnz   s    zdok_matrix.getnnzc             C   s   t dd |  D S )Nc             s   s   | ]}|d kV  qdS )r   Nr   ).0r   r   r   r   	<genexpr>   s    z+dok_matrix.count_nonzero.<locals>.<genexpr>)sumvalues)r-   r   r   r   count_nonzero   s    zdok_matrix.count_nonzeroc             C   s
   t | S )N)r   r   )r-   r   r   r   r      s    zdok_matrix.__len__        c          
   C   s   y |\}}t |rt |stW n2 tttfk
rR } ztd|W dd}~X Y nX |dk s|| jd ks|dk s|| jd krtdt| ||S )ztThis overrides the dict.get method, providing type checking
        but otherwise equivalent functionality.
        z!Index must be a pair of integers.Nr   r   zIndex out of bounds.)r   AssertionErrorr*   
ValueError
IndexErrorr'   r   get)r-   keyr   ijr0   r   r   r   rF      s    ,zdok_matrix.getc             C   s   t | ||f| jdS )Nr   )r   rF   r   type)r-   rowcolr   r   r   _get_intXint   s    zdok_matrix._get_intXintc             C   s   |  t||d |S )Nr   )_get_sliceXsliceslice)r-   rK   rL   r   r   r   _get_intXslice   s    zdok_matrix._get_intXslicec             C   s   |  |t||d S )Nr   )rN   rO   )r-   rK   rL   r   r   r   _get_sliceXint   s    zdok_matrix._get_sliceXintc             C   s0  | | jd \}}}| | jd \}}}t|||}	t|||}
t|	t|
f}t| d|d  |d  kr|| |	|
S t|| jd}x|  D ]}tt	|d | |\}}|dks|dk s||d krqtt	|d | |\}}|dks|dk s||d kr
qt
| |}t
|||f| qW |S )Nr   r   r   )r   )indicesr'   ranger+   _get_columnXarrayr   r   keysdivmodintr   __getitem____setitem__)r-   rK   rL   Z	row_startZrow_stopZrow_stepZ	col_startZcol_stopZcol_stepZ	row_rangeZ	col_ranger'   newdokrG   rH   rirI   Zrjr   r   r   r   rN      s$    zdok_matrix._get_sliceXslicec             C   s   |  |g|S )N)rT   )r-   rK   rL   r   r   r   _get_intXarray   s    zdok_matrix._get_intXarrayc             C   s   |  ||gS )N)rT   )r-   rK   rL   r   r   r   _get_arrayXint   s    zdok_matrix._get_arrayXintc             C   s$   t t|| jd  }| ||S )Nr   )listrS   rR   r'   rT   )r-   rK   rL   r   r   r   _get_sliceXarray   s    zdok_matrix._get_sliceXarrayc             C   s$   t t|| jd  }| ||S )Nr   )r^   rS   rR   r'   rT   )r-   rK   rL   r   r   r   _get_arrayXslice   s    zdok_matrix._get_arrayXslicec       	      C   sr   t t|t|f| jd}xRt|D ]F\}}x<t|D ]0\}}t| ||fd}|r6t|||f| q6W q$W |S )N)r   r   )r   r+   r   	enumerater   rF   rY   )	r-   rK   rL   rZ   rH   rrI   cvr   r   r   rT      s    zdok_matrix._get_columnXarrayc             C   s   t tjt||\}}t|j| jd}xTtt	|jd t	|jd D ]0}t
| || || fd}|rJt
||| qJW |S )N)r   r   r   )mapr(   Z
atleast_2dZbroadcast_arraysr   r'   r   	itertoolsproductrS   r   rF   rY   )r-   rK   rL   rH   rI   rZ   rG   rd   r   r   r   _get_arrayXarray   s    &zdok_matrix._get_arrayXarrayc             C   s2   ||f}|rt | || nt | |r.| |= d S )N)r   rY   __contains__)r-   rK   rL   r   rG   r   r   r   _set_intXint   s
    zdok_matrix._set_intXintc             C   s   t tt| }t tt| }| }t| tt||| x@t|dkd D ]*}|| || f}t	| |dkrX| |= qXW d S )Nr   )
r^   re   rW   Zravelr   r&   zipr(   ZnonzerorX   )r-   rK   rL   r   rH   rG   r   r   r   _set_arrayXarray   s    zdok_matrix._set_arrayXarrayc          	      s$  t rjt| j}t| j|d | j\}}xtt|t|D ]"}t	| |d }|rB| |< qBW nt
rj| jkrtdt| jj}t| j|d t |  tjdd& t  fdd D  W d Q R X n8tr|  }|  ntr|    ntS  S )N)r   r   z Matrix dimensions are not equal.ignore)Zoverc             3   s"   | ]}| | |  fV  qd S )Nr   )r=   k)newotherr   r   r>   	  s    z%dok_matrix.__add__.<locals>.<genexpr>)r   r   r   r   r'   rf   rg   rS   r   rF   r   rD   r   r&   r(   ZerrstaterU   r   tocscr   todenseNotImplemented)r-   rp   	res_dtyper.   r/   rG   aijcscr   )ro   rp   r   __add__   s0    
&


zdok_matrix.__add__c                s   t  r`tjjd}j\}}xtt|t|D ]"}t|d  }|r8|||< q8W nt	 r jjkr|t
dtjjd}t| t| fdd  D  n4t rԈ }|  }nt r   }ntS |S )N)r   r   z Matrix dimensions are not equal.c             3   s"   | ]}||  |  fV  qd S )Nr   )r=   rn   )rp   r-   r   r   r>   !  s    z&dok_matrix.__radd__.<locals>.<genexpr>)r   r   r'   r   rf   rg   rS   r   rF   r   rD   r&   rU   r   rq   r   rr   rs   )r-   rp   ro   r.   r/   rG   ru   rv   r   )rp   r-   r   __radd__  s*    

zdok_matrix.__radd__c                sF    j jdkrtdt j j d}t| fdd  D  |S )Nbz2Negating a sparse boolean matrix is not supported.)r   c             3   s   | ]}| |  fV  qd S )Nr   )r=   rn   )r-   r   r   r>   0  s    z%dok_matrix.__neg__.<locals>.<genexpr>)r   kindr2   r   r'   r   r&   rU   )r-   ro   r   )r-   r   __neg__+  s
    zdok_matrix.__neg__c                s<   t | j }t| j|d}t| fdd|  D  |S )N)r   c             3   s   | ]\}}||  fV  qd S )Nr   )r=   rn   rd   )rp   r   r   r>   7  s    z)dok_matrix._mul_scalar.<locals>.<genexpr>)r   r   r   r'   r   r&   items)r-   rp   rt   ro   r   )rp   r   _mul_scalar3  s    zdok_matrix._mul_scalarc             C   sT   t j| jd t| j|jd}x0|  D ]$\\}}}||  |||  7  < q(W |S )Nr   )r   )r(   zerosr'   r   r   r|   )r-   rp   resultrH   rI   rd   r   r   r   _mul_vector:  s    zdok_matrix._mul_vectorc          	   C   sv   | j d |j d f}t| j|j}tj||d}x@|  D ]4\\}}}||d d f  |||d d f  7  < q:W |S )Nr   r   )r   )r'   r   r   r(   r~   r|   )r-   rp   Zresult_shapeZresult_dtyper   rH   rI   rd   r   r   r   _mul_multivectorA  s    ,zdok_matrix._mul_multivectorc                s.   t  r*t|  fdd|  D  | S tS )Nc             3   s   | ]\}}||  fV  qd S )Nr   )r=   rn   rd   )rp   r   r   r>   L  s    z&dok_matrix.__imul__.<locals>.<genexpr>)r   r   r&   r|   rs   )r-   rp   r   )rp   r   __imul__J  s    zdok_matrix.__imul__c                sP   t  rDt| j }t| j|d}t| fdd|  D  |S |    S )N)r   c             3   s   | ]\}}||  fV  qd S )Nr   )r=   rn   rd   )rp   r   r   r>   T  s    z)dok_matrix.__truediv__.<locals>.<genexpr>)	r   r   r   r   r'   r   r&   r|   Ztocsr)r-   rp   rt   ro   r   )rp   r   __truediv__P  s    zdok_matrix.__truediv__c                s.   t  r*t|  fdd|  D  | S tS )Nc             3   s   | ]\}}||  fV  qd S )Nr   )r=   rn   rd   )rp   r   r   r>   Z  s    z*dok_matrix.__itruediv__.<locals>.<genexpr>)r   r   r&   r|   rs   )r-   rp   r   )rp   r   __itruediv__X  s    zdok_matrix.__itruediv__c             C   s
   t | S )N)r   
__reduce__)r-   r   r   r   r   ^  s    zdok_matrix.__reduce__c             C   sL   |d k	rt d| j\}}t||f| j|d}t|dd |  D  |S )NzoSparse matrices do not support an 'axes' parameter because swapping dimensions is the only logical permutation.)r   r   c             s   s"   | ]\\}}}||f|fV  qd S )Nr   )r=   leftrightr3   r   r   r   r>   p  s   z'dok_matrix.transpose.<locals>.<genexpr>)rD   r'   r   r   r   r&   r|   )r-   Zaxesr   r.   r/   ro   r   r   r   	transposeh  s    
zdok_matrix.transposec             C   s:   | j \}}t||f| jd}t|dd |  D  |S )zReturn the conjugate transpose.)r   c             s   s(   | ] \\}}}||ft |fV  qd S )N)r(   Zconj)r=   r   r   r3   r   r   r   r>   z  s   z(dok_matrix.conjtransp.<locals>.<genexpr>)r'   r   r   r   r&   r|   )r-   r.   r/   ro   r   r   r   
conjtranspv  s
    
zdok_matrix.conjtranspc             C   s    t | j| jd}t||  |S )N)r   )r   r'   r   r   r&   )r-   ro   r   r   r   r   ~  s    zdok_matrix.copyc             C   s   ddl m} | jdkr&|| j| jdS tt| jd}tj| 	 | j| jd}tjdd | 
 D || jd}tjd	d | 
 D || jd}||||ff| j| jd
}d|_|S )Nr   )r   r   )r   )maxval)r   countc             s   s   | ]\}}|V  qd S )Nr   )r=   rH   _r   r   r   r>     s    z#dok_matrix.tocoo.<locals>.<genexpr>c             s   s   | ]\}}|V  qd S )Nr   )r=   r   rI   r   r   r   r>     s    )r'   r   T)r,   r   Znnzr'   r   r   maxr(   Zfromiterr@   rU   Zhas_canonical_format)r-   r   r   Z	idx_dtyper4   rK   rL   Ar   r   r   tocoo  s    
  zdok_matrix.tocooc             C   s   |r|   S | S )N)r   )r-   r   r   r   r   r%     s    zdok_matrix.todokc             C   s   | j ddj|dS )NF)r   )r   rq   )r-   r   r   r   r   rq     s    zdok_matrix.tocscc             G   sh   t |}|\}}| j\}}||k s*||k r^x2t|  D ]"\}}||ksP||kr8| ||f= q8W || _d S )N)r   r'   r^   rU   r$   )r-   r'   ZnewMZnewNr.   r/   rH   rI   r   r   r   resize  s    
zdok_matrix.resize)NNF)N)rB   )NF)F)F)F).__name__
__module____qualname____doc__r6   r    r&   r5   r9   propertyr   	get_shaper'   r<   rA   r   rF   rM   rP   rQ   rN   r\   r]   r_   r`   rT   rh   rj   rl   rw   rx   r{   r}   r   r   r   r   r   r   r   r   r   r   r%   rq   r   r   r   r   r   r      s`   0
#



	









c             C   s
   t | tS )a  Is x of dok_matrix type?

    Parameters
    ----------
    x
        object to check for being a dok matrix

    Returns
    -------
    bool
        True if x is a dok matrix, False otherwise

    Examples
    --------
    >>> from scipy.sparse import dok_matrix, isspmatrix_dok
    >>> isspmatrix_dok(dok_matrix([[5]]))
    True

    >>> from scipy.sparse import dok_matrix, csr_matrix, isspmatrix_dok
    >>> isspmatrix_dok(csr_matrix([[5]]))
    False
    )r"   r   )r   r   r   r   r     s    )r   __docformat____all__rf   numpyr(   baser   r   _indexr   Zsputilsr   r	   r
   r   r   r   r   r   r   operatorr   r   ImportErrorr   r   r   r   r   r   r   <module>   s    ,   