Displaying 3 results from an estimated 3 matches for "good1".
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2017 Aug 08
1
[PATCH] drm/virtio: make drm_fb_helper_funcs const
...structures const as they are only passed to the function
drm_fb_helper_prepare and the corresponding argument is of type const.
Done using Coccinelle
@match disable optional_qualifier@
identifier s;
@@
static struct drm_fb_helper_funcs s = {...};
@ref@
position p;
identifier match.s;
@@
s at p
@good1@
identifier match.s;
expression e1,e2;
position ref.p;
@@
drm_fb_helper_prepare(e1,e2,&s at p,...)
@bad depends on !good1@
position ref.p;
identifier match.s;
@@
s at p
@depends on forall !bad disable optional_qualifier@
identifier match.s;
@@
static
+ const
struct drm_fb_helper_funcs s;
Si...
2017 Aug 08
1
[PATCH] drm/virtio: make drm_fb_helper_funcs const
...structures const as they are only passed to the function
drm_fb_helper_prepare and the corresponding argument is of type const.
Done using Coccinelle
@match disable optional_qualifier@
identifier s;
@@
static struct drm_fb_helper_funcs s = {...};
@ref@
position p;
identifier match.s;
@@
s at p
@good1@
identifier match.s;
expression e1,e2;
position ref.p;
@@
drm_fb_helper_prepare(e1,e2,&s at p,...)
@bad depends on !good1@
position ref.p;
identifier match.s;
@@
s at p
@depends on forall !bad disable optional_qualifier@
identifier match.s;
@@
static
+ const
struct drm_fb_helper_funcs s;
Si...
2012 Nov 20
1
Removing columns that are na or constant
I have a dataset that has many columns which are NA or constant, and so I remove them like so:
same <- sapply(dataset, function(.col){
all(is.na(.col)) || all(.col[1L] == .col)
})
dataset <- dataset[!same]
This works GREAT (thanks to the r-users list archive I found this)
however, then when I do my data sampling like so:
testSize <- floor(nrow(x) * 10/100)
test <-