
    tKg|                         d dl Z d dlZd dlmZmZ d dlmZmZ d dl	m
Z
 d Z e j                  d      d        Z G d	 d
      Zy)    N)assert_equalassert_allcloselog_ndtr	ndtri_exp)assert_func_equalc                 *    t        t        |             S Nr   ys    f/home/alanp/www/video.onchill/myenv/lib/python3.12/site-packages/scipy/special/tests/test_ndtri_exp.pylog_ndtr_ndtri_expr      s    IaL!!    class)scopec                  f    t         j                  j                  d      } | j                  d      }|S )Ni  i  )nprandomRandomStaterandom_sample)random_statepointss     r   uniform_random_pointsr      s+    99((.L''-FMr   c            
           e Zd ZdZej
                  j                  ddddd ej                  e	      j                   g      d        Zej
                  j                  dg d	      d
        Zd Zd Zd Zy)TestNdtriExpa  Tests that ndtri_exp is sufficiently close to an inverse of log_ndtr.

    We have separate tests for the five intervals (-inf, -10),
    [-10, -2), [-2, -0.14542), [-0.14542, -1e-6), and [-1e-6, 0).
    ndtri_exp(y) is computed in three different ways depending on if y
    is in (-inf, -2), [-2, log(1 - exp(-2))], or [log(1 - exp(-2), 0).
    Each of these intervals is given its own test with two additional tests
    for handling very small values and values very close to zero.
    
test_inputg      $g      Yg    _g@xc                 H    |}|d|z  dz   z  }t        t        d |dd       y )Ng      ?c                     | S r
    r   s    r   <lambda>z2TestNdtriExp.test_very_small_arg.<locals>.<lambda>&       ar   +=Trtolnan_okr   r   )selfr   r   scaler   s        r   test_very_small_argz TestNdtriExp.test_very_small_arg   s4     # 55;<		
r   zinterval,expected_rtol)))ir"   ))r*   ̗`¿-q=))r+   ưg|=))r-   r   gư>c                 N    |\  }}||z
  |z  |z   }t        t        d ||d       y )Nc                     | S r
   r   r   s    r   r    z/TestNdtriExp.test_in_interval.<locals>.<lambda>9   r!   r   Tr#   r&   )r'   intervalexpected_rtolr   leftrightr   s          r   test_in_intervalzTestNdtriExp.test_in_interval+   s7     e$,"77$>		
r   c                 6   t         j                  j                  t        j                  t              j
                  ddddg      }t        j                  t              j                   }t        j                  ||g      }t        |      }t        ||d       y )Nr   r,   )r$   )
r   	nextafterreducefinfofloatmintinyarrayr   r   )r'   bignegtinynegxresults        r   test_extremezTestNdtriExp.test_extreme>   sp    * $$bhhuo&9&91aA%FG88E?'''HHgv&'#A&.r   c                     t        t        t        j                   dg      t        j                   t        j                  g       y )Ng        )r   r   r   infr'   s    r   test_asymptoteszTestNdtriExp.test_asymptotesZ   s*    Y~."&&"&&0ABr   c                 D    t        j                  t        d            sJ y )Ng      ?)r   isnanr   rD   s    r   test_outside_domainz TestNdtriExp.test_outside_domain]   s    xx	#'''r   N)__name__
__module____qualname____doc__pytestmarkparametrizer   r8   r9   maxr)   r4   rA   rE   rH   r   r   r   r   r      s     [[tT5%("((5/2E2E1EF

 [[ 	


/8C(r   r   )rM   numpyr   numpy.testingr   r   scipy.specialr   r   scipy.special._testutilsr   r   fixturer   r   r   r   r   <module>rV      sD      7 - 6" g K( K(r   