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    ¢�DjO  ã                   óê   — d dl mZmZ d dlZd dlZ eej                  «      Ze ed«      k  Ze Z	e ed«      k  Z
e ed«      k  Ze ed«      k  Zd„ Zej                  dfd„Ze
rd	d
lmZ yd d
lmZ y)é    )ÚVersionÚparseNz1.4.99z1.5.99z1.6.99z1.8.99c                 ó  — | dk  r| S | | dz
  z  s| S t        d«      }d}|| k  rb|}|| k  rB|  |z   }d|dz
  j                  «       z  }||z  }|| k(  r|S ||k  r|}|dz  }|| k(  r|S || k  rŒB||k  r|}|dz  }|| k(  r|S || k  rŒb||k  r|}|S )a!  
    Find the next regular number greater than or equal to target.
    Regular numbers are composites of the prime factors 2, 3, and 5.
    Also known as 5-smooth numbers or Hamming numbers, these are the optimal
    size for inputs to FFTPACK.

    Target must be a positive integer.
    é   é   Úinfé   é   é   )ÚfloatÚ
bit_length)ÚtargetÚmatchÚp5Úp35ÚquotientÚp2ÚNs          ú\C:\Crop_Prediction\Backend\crop-ai-system\venv\Lib\site-packages\statsmodels/compat/scipy.pyÚ_next_regularr      sé   € ð �‚{Øˆð �f˜q‘jÒ!Øˆä�%‹L€EØ	
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ˆvŠ+ØˆØ�FŠlð !˜ C™Ð(ˆHà˜ 1™×0Ñ0Ó2Ñ3ˆBà�S‘ˆAØ�FŠ{Ø�Ø�U’Ø�Ø�1‰HˆCØ�fŠ}Ø�
ð �F‹lð �Š;ØˆEØ
ˆa‰ˆØ�Š<ØˆIð+ ˆv‹+ð, 
ˆE‚zØˆØ€Ló    c                 óÆ   — t        j                  | t        ¬«      |z  }|�|j                  |«      }t	        |t         j
                  «      st        j                  |«      }|S )zReturn an array of all value.)Údtype)ÚnpÚonesÚboolÚastypeÚ
isinstanceÚndarrayÚasarray)ÚshapeÚvalueÚtypecodeÚouts       r   Ú	_valarrayr%   ;   sM   € ô �'‰'�%œtÔ
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,€CØÐØ�j‰j˜Ó"ˆÜ�cœ2Ÿ:™:Ô&Ü�j‰j˜‹oˆØ€Jr   r   )Úmultivariate_t)Úpackaging.versionr   r   Únumpyr   ÚscipyÚ__version__Ú
SP_VERSIONÚSP_LT_15ÚSCIPY_GT_14ÚSP_LT_16ÚSP_LT_17ÚSP_LT_19r   Únanr%   Ú_scipy_multivariate_tr&   Úscipy.stats© r   r   ú<module>r5      s‚   ðß ,ã Û á�5×$Ñ$Ó%€
Ø™ Ó)Ñ)€Øˆl€Ø™ Ó)Ñ)€Ø™ Ó)Ñ)€Ø™ Ó)Ñ)€ò*ðZ Ÿ6™6¨Dó ñ æ5æ*r   