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B6 BUG: intersphinx pages for ufuncs are under `:data:` · Issue #28734 · numpy/numpy · GitHub
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BUG: intersphinx pages for ufuncs are under :data: #28734

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crusaderky opened this issue Apr 16, 2025 · 2 comments
Open

BUG: intersphinx pages for ufuncs are under :data: #28734

crusaderky opened this issue Apr 16, 2025 · 2 comments
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00 - Bug 04 - Documentation

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@crusaderky
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Describe the issue:

I've been trying to point to :func:numpy.logaddexp and failing.
The issue is that the Intersphinx inventory incorrectly lists that and many other functions (all ufuncs?) under py:data instead of py:function.

Reproduce the code example:

$ python -m sphinx.ext.intersphinx https://numpy.org/doc/stable/objects.inv | grep -E '^[a-zA-Z]|logaddexp'
c:enum
c:enumerator
c:function
c:functionParam
c:macro
c:member
c:type
py:attribute
py:class
py:data
    numpy.logaddexp                                                                  : reference/generated/numpy.logaddexp.html#numpy.logaddexp
    numpy.logaddexp2                                                                 : reference/generated/numpy.logaddexp2.html#numpy.logaddexp2
py:exception
py:function
py:method
py:module
py:property
std:doc
    reference/generated/numpy.logaddexp      numpy.logaddexp                         : reference/generated/numpy.logaddexp.html
    reference/generated/numpy.logaddexp2     numpy.logaddexp2                        : reference/generated/numpy.logaddexp2.html
std:label
std:term

Error message:



Python and NumPy Versions:


    

  • stable (2.2) https://numpy.org/doc/stable/objects.inv
    • 

  • as well as dev (2.3) https://numpy.org/devdocs/objects.inv
    • 



Runtime Environment:


No response


Context for the issue:


No response

      		
    

      
  





        



            
            

              
            

        

      


      
    








      

    



      

  
            


    


  

  

    
  


  

      

    @crusaderky
crusaderky



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      Apr 16, 2025
    





  


  

      
  
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  @crusaderky





  


    

      

  

    

        
    
    

  


      
          
  
      
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            crusaderky
  

      

      

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        Apr 16, 2025


      
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This is particularly problematic after a round-trip through numpydoc.docscrape: numpy/numpydoc#618

      		
    

  





        


            

            
            

              
            

        

      


      

            
  
  

    
  
    
    

  

  

  


    












      

  
          

  

    
  


  

      

    @crusaderky
crusaderky



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      Apr 16, 2025
    





  


  

      
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  @melissawm





  


    

      

  

    

        
    
    

  


      
          
  
      
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I think I know how to fix this. Will follow up.

      		
    

  





        


            

            
            

              
            

        

      


      

            
  
  

    
  
    
    

  

  

  


    
















  
  

    

      

  





  




  
  

              

  
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      3 participants
    

    

        
          @melissawm 
        
          @jorenham 
        
          @crusaderky 
    

  






    

    




    






  

          

        



    



  





    

  


  


          



    



  

    

    

    





    


    

    

  
    






    
    

    
    

    
    

    
    

    
    

    
    

    
    

    
    


        
        
        
        
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