o
    i                  
   @   s.  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 d dl	m
Z
mZmZmZ ddlmZ ddlmZmZ ejd	d
 Zdd Zdd Zejjddeedddddd Zejjddeedddddd Zejjddeddeedddddd Zejjddeeddddedddd Zejjddeeddddd d! Zejjddeeddddd"d# Zejd$d% Zd&d' Z d(d) Z!ej"d*e j#d+d+gd,d-d+d+gfe j#d.d+gd,d-d.d+gfe j#d+d.gd,d-d+d.gfe j#d.d.gd,d-d.d.gfgd/d0 Z$d1d2 Z%dS )3    N)givensettings)	MagicMock)assert_allclose)SGDDropoutLinearchain   )arrays_OI_O_BI)	get_model	get_shapec                  C   s
   t  } | S N)r   model r   R/home/ubuntu/.local/lib/python3.10/site-packages/thinc/tests/layers/test_linear.pyr      s   r   c                 C   s   | j dksJ d S )Nlinear)namer   r   r   r   test_linear_default_name   s   r   c                  C   sn   t dtjd} d| _d| _t dtjd}d|_d|_t  |_t }|| | |dd us0J |j	  d S )N)   
   )shapespecr
   float32)   nI)
r   numpyndarrayndimdtypemaxr   
initializeget_dimassert_called_with)Xyr   r   r   r   test_linear_dimensions_on_data   s   r'   zFlaky, skip temporarily)reasonr   )	max_batchmax_outmax_inc                 C   sF   t | }t| \}}}| \}}}||\}}	||}
t||
 d S r   )r   r   begin_updatepredictr   )	W_b_inputr   nr_batchnr_outnr_inWbinput_fwd_via_begin_updatefinish_updatefwd_via_predict_batchr   r   r   !test_begin_update_matches_predict%   s   

r8   c                    s   t | }t| \}}}| \}}}||\}}	t   fdd}
tj||fdd}|	|}||
 |jD ]}|j|f v s@J q5d S )Nc                    s"     |  |j|jksJ ||fS r   )addr   )keydatagradientkwargs	seen_keysr   r   sgd:   s   
z<test_finish_update_calls_optimizer_with_weights.<locals>.sgdfr    )	r   r   r,   setr   onesr6   param_namesid)r.   r   r/   r0   r1   r2   r3   r4   outputr6   r@   grad_BOgrad_BIr   r   r>   r   /test_finish_update_calls_optimizer_with_weights0   s   


rJ   d   )max_examplesc           
      C   s   | \}}}|j \}}t||}|d| |d| tjdtj|ddtj|dddd}|| }||}	t|	|ddd	 d S )
Nr2   r3   z	oi,bi->bofloat64rB   Foptimizeg{Gz?rtolatolr   r   	set_paramr   einsumasarrayr-   r   
r.   r2   r3   r4   r0   r1   r   	einsummedexpected_outputpredicted_outputr   r   r   test_predict_smallF      



r[         )deadlinec           
      C   s   | \}}}|j \}}t||}|d| |d| tjdtj|ddtj|dddd}|| }||}	t|	|ddd	 d S )
Nr2   r3   z	bi,oi->bor   rB   FrN   g-C6?rP   rS   rW   r   r   r   test_predict_extensive]   r\   r`   c           
      C   sV   t t| td}t| \}}}| \}}}||\}}	tdd | D s)J d S )N      ?c                 s       | ]}|d kV  qdS         Nr   .0valr   r   r   	<genexpr>{       z6test_dropout_gives_zero_activations.<locals>.<genexpr>)r	   r   r   r   r,   allflatten)
r.   r   r/   r0   r1   r2   r3   r4   fwd_dropped_r   r   r   #test_dropout_gives_zero_activationst   s
   
rn   c                 C   s   t t| td}t| \}}}| \}}}| D ]}|jdkr%d|jd< q||\}	}
tj	||fdd}|
|}t
dd | D sGJ d S )Nra   dropoutdropout_raterA   rB   c                 s   rb   rc   r   re   r   r   r   rh      ri   z4test_dropout_gives_zero_gradients.<locals>.<genexpr>)r	   r   r   r   walkr   attrsr,   r   rD   rj   rk   )r.   r   r/   r0   r1   r2   r3   r4   noderl   r6   rH   rI   r   r   r   !test_dropout_gives_zero_gradients~   s   


rt   c                  C   s   t dd } | S )Nr
   )r   r"   r   r   r   r   model2   s   ru   c                 C   sL   |  ddks	J |  ddksJ | dd usJ | dd us$J d S )NnOr
   r   r2   r3   )r#   	get_param)ru   r   r   r   	test_init   s   rx   c                 C   s   | j d| d}| j d| d}| |}t|d |d  d| dd< d|d< | |}t|| d| dd< d|d< | |}t|| d S )	N   r   r   g       @r3   r   r   g      @r   ry   )opsalloc2fr#   r-   r   rw   )ru   r4   target_scoresscoresr   r   r   test_predict_bias   s   



r   z
X,expectedrd   rA   rB   ra   c                 C   sz   t jg dddd}t jddgdd}t|jd |jd }|d| |d	| || d
}t| | d S )Nra   rd   rd   ra   rA   rB   r
   r
   rd   r   ry   r2   r3   )ry   )	r   rV   reshaper   r   rT   r-   r   ravel)r%   expectedr2   biasr   r   r   r   r   test_predict_weights   s   
r   c                  C   s~  t jg dddd} t jddgdd}tdd}|d|  |d| td	ddd
}d |_t jddggdd}t jd	dggdd}t jdd	ggdd}t jd	d	ggdd}||\}}	t|d |d  t jddggdd}
|	|
 |	 
 D ]\}\}}||||\}}||d | ||d | q||d}|d} |d d	ksJ |d dksJ | d d	ksJ | d dksJ | d dksJ | d d	ksJ ||\}}t jddggdd}
||
 |	 
 D ]\}\} }||| | q|d}|d} |d d	ksJ |d d	ksJ | d d	ks"J | d dks+J | d d	ks4J | d d	ks=J d S )Nr   rA   rB   r   rd   r
   r2   r3   ra   )L2	grad_cliprz   r{   g      ry   r   )ry   r   )ry   ry   )r   rV   r   r   rT   r   averagesr,   r   get_gradientsitemsset_gradrw   )r2   r   r   r@   fftfftttr   backpropr<   r:   paramd_paramr3   r6   dWr   r   r   test_update   sP   




r   )&r   pytest
hypothesisr   r   mockr   numpy.testingr   	thinc.apir   r   r   r	   
strategiesr   utilr   r   fixturer   r   r'   markskipr8   rJ   r[   r`   rn   rt   ru   rx   r   parametrizerV   r   r   r   r   r   r   <module>   s\    
	

	