revise doc comment for resample
We can now do high-quality reduce for any scale factor, though it'll be slow for very large reductions. Thanks homm, see https://github.com/libvips/pyvips/issues/148
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*
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* vips_reduce() is like vips_affine(), but it can only shrink images, it can't
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* vips_reduce() is like vips_affine(), but it can only shrink images, it can't
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* enlarge, rotate, or skew. It's very fast and uses an adaptive kernel for
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* enlarge, rotate, or skew. It's very fast and uses an adaptive kernel for
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* interpolation. Again, it will give poor results for large size reductions.
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* interpolation.
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*
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*
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* vips_shrink() is a fast block shrinker. It can quickly reduce images by
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* vips_shrink() is a fast block shrinker. It can quickly reduce images by
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* large integer factors. It will give poor results for small size reductions:
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* large integer factors. It will give poor results for small size reductions:
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