search for: if_any

Hi Avi, As D?nes T?th has rightly diagnosed, you are building an "all or nothing" filter. However, you do not need to explicitly spell out all columns that you want to filter for; the "tidy" way would be to use a helper function like `if_all()` or `if_any()`. Consider this example (I hope I understand your intentions correctly): ``` library(dplyr) data <- tribble( ? ~first.a, ~first.b, ~first.c, ? 1L,????? ? 1L,?????? 0L, ? NA,?????? 1L,?????? 0L, ? 1L,??????? 0L,?????? NA, ? NA,?????? NA,?????? 1L ) ``` Let's say we only want to...

Base R has generic functions called any() and all() that I am having trouble using. It works fine when I play with it in a base R context as in: > all(any(TRUE, TRUE), any(TRUE, FALSE)) [1] TRUE > all(any(TRUE, TRUE), any(FALSE, FALSE)) [1] FALSE But in a tidyverse/dplyr environment, it returns wrong answers. Consider this example. I have data I have joined together with pairs of

v2: removed definitions we won't need anymore v3: rename IF_NOT_ALL to IF_ANY Signed-off-by: Karol Herbst <karolherbst at gmail.com> Reviewed-by: Martin Peres <martin.peres at free.fr> --- drm/nouveau/nvkm/subdev/pmu/fuc/macros.fuc | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/drm/nouveau/nvkm/subdev/pmu/fuc/macros.fuc b/drm/nouveau/nvkm/subdev/pm...

I think I am done reworking the series and getting to a point where I think it is basically finished. The configuration of the slots could be improved later on when working on dynamic reclocking, but for now it's good enough to report the current GPU utilization to userspace. Patches 1-4 imeplement PMU commands to setup and readout the counters. Patches 5-6 lets Nouveau make use of 1-4. Patch