On Wed, Jan 07, 2026 at 03:30:56PM +0100, Theo Buehler wrote:
> Fix the build of piglit with numpy 2.4.0 which removed newshape
> and the compat glue assigning it to shape. The build fails with:
> 
>   File 
> "/work/pobj/piglit-20250507/piglit-20250507/generated_tests/builtin_function.py",
>  line 296
> , in column_major_values
>     return list(np.reshape(value, newshape=-1, order='F'))
>                 ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> TypeError: reshape() got an unexpected keyword argument 'newshape'
> 
> Fix this and a similar problem in the fp64 variant. This also
> builds with in-tree py3-numpy-2.2.6p2.
> 
> Since upstream piglit pinned numpy to 1, they don't have such a fix
> (and they would probably need to drop the 'shape=' part of the diffs)

There is an open merge request with the same diff
https://gitlab.freedesktop.org/mesa/piglit/-/merge_requests/1063

ok jsg@

> 
> Index: Makefile
> ===================================================================
> RCS file: /cvs/ports/graphics/piglit/Makefile,v
> diff -u -p -r1.27 Makefile
> --- Makefile  20 May 2025 12:10:50 -0000      1.27
> +++ Makefile  7 Jan 2026 14:18:50 -0000
> @@ -2,7 +2,7 @@ COMMENT =     automated OpenGL and OpenCL te
>  ONLY_FOR_ARCHS =     amd64 i386
>  
>  DISTNAME =   piglit-20250507
> -REVISION =   0
> +REVISION =   1
>  
>  DIST_TUPLE = fdo mesa piglit 1767af745ed96f77b16c0c205015366d1fbbdb22 
> ${WRKDIST}/
>  
> Index: patches/patch-generated_tests_builtin_function_fp64_py
> ===================================================================
> RCS file: patches/patch-generated_tests_builtin_function_fp64_py
> diff -N patches/patch-generated_tests_builtin_function_fp64_py
> --- /dev/null 1 Jan 1970 00:00:00 -0000
> +++ patches/patch-generated_tests_builtin_function_fp64_py    7 Jan 2026 
> 13:39:21 -0000
> @@ -0,0 +1,26 @@
> +TypeError: reshape() got an unexpected keyword argument 'newshape'
> +
> +The newshape parameter was deprecated in NumPy 2.1.0 and has been removed 
> from
> +numpy.reshape. Pass it positionally or use shape= on newer NumPy versions.
> +
> +Index: generated_tests/builtin_function_fp64.py
> +--- generated_tests/builtin_function_fp64.py.orig
> ++++ generated_tests/builtin_function_fp64.py
> +@@ -254,7 +254,7 @@ def column_major_values(value):
> +     """Given a native numpy value, return a list of the scalar values
> +     comprising it, in column-major order."""
> +     if isinstance(value, np.ndarray):
> +-        return list(np.reshape(value, newshape=-1, order='F'))
> ++        return list(np.reshape(value, shape=-1, order='F'))
> +     else:
> +         return [value]
> + 
> +@@ -262,7 +262,7 @@ def column_major_values(value):
> + def glsl_constant(value):
> +     """Given a native numpy value, return GLSL code that constructs
> +     it."""
> +-    column_major = np.reshape(np.array(value), newshape=-1, order='F')
> ++    column_major = np.reshape(np.array(value), shape=-1, order='F')
> +     if column_major.dtype == bool:
> +         values = ['true' if x else 'false' for x in column_major]
> +     else:
> Index: patches/patch-generated_tests_builtin_function_py
> ===================================================================
> RCS file: patches/patch-generated_tests_builtin_function_py
> diff -N patches/patch-generated_tests_builtin_function_py
> --- /dev/null 1 Jan 1970 00:00:00 -0000
> +++ patches/patch-generated_tests_builtin_function_py 7 Jan 2026 13:39:21 
> -0000
> @@ -0,0 +1,26 @@
> +TypeError: reshape() got an unexpected keyword argument 'newshape'
> +
> +The newshape parameter was deprecated in NumPy 2.1.0 and has been removed 
> from
> +numpy.reshape. Pass it positionally or use shape= on newer NumPy versions.
> +
> +Index: generated_tests/builtin_function.py
> +--- generated_tests/builtin_function.py.orig
> ++++ generated_tests/builtin_function.py
> +@@ -293,7 +293,7 @@ def column_major_values(value):
> +     """Given a native numpy value, return a list of the scalar values
> +     comprising it, in column-major order."""
> +     if isinstance(value, np.ndarray):
> +-        return list(np.reshape(value, newshape=-1, order='F'))
> ++        return list(np.reshape(value, shape=-1, order='F'))
> +     else:
> +         return [value]
> + 
> +@@ -301,7 +301,7 @@ def column_major_values(value):
> + def glsl_constant(value):
> +     """Given a native numpy value, return GLSL code that constructs
> +     it."""
> +-    column_major = np.reshape(np.array(value), newshape=-1, order='F')
> ++    column_major = np.reshape(np.array(value), shape=-1, order='F')
> +     if column_major.dtype == bool:
> +         values = ['true' if x else 'false' for x in column_major]
> +     elif column_major.dtype == np.int64:
> 
> 

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