search for: c1

..._0_FMT_##sz, U_##u \ > } > > #define C4A(p, n, r, g, b, a, t, s, u, br) \ > @@ -308,6 +304,10 @@ const struct nv50_format > nv50_format_table[PIPE_FORMAT_COUNT] = > I3B(R32G32B32X32_SINT, RGBX32_SINT, C0, C1, C2, xx, SINT, 32_32_32_32, > TR), > I3B(R32G32B32X32_UINT, RGBX32_UINT, C0, C1, C2, xx, UINT, 32_32_32_32, > TR), > > + F3A(R32G32B32_FLOAT, NONE, C0, C1, C2, xx, FLOAT, 32_32_32, tV), > + I3A(R32G32B32_SINT, NONE, C0, C1, C2, xx, SINT, 32_32_32, tV), > + I3A(R32G32B...

...2D_12X12 0x46 + #if NOUVEAU_DRIVER == 0xc0 # define NVXX_3D_VAF_SIZE(s) NVC0_3D_VERTEX_ATTRIB_FORMAT_SIZE_##s # define NVXX_3D_VAF_TYPE(t) NVC0_3D_VERTEX_ATTRIB_FORMAT_TYPE_##t @@ -296,6 +319,47 @@ const struct nv50_format nv50_format_table[PIPE_FORMAT_COUNT] = F3B(BPTC_RGB_FLOAT, NONE, C0, C1, C2, xx, FLOAT, BPTC_FLOAT, t), F3B(BPTC_RGB_UFLOAT, NONE, C0, C1, C2, xx, FLOAT, BPTC_UFLOAT, t), + F3B(ETC2_RGB8, NONE, C0, C1, C2, xx, UNORM, ETC2_RGB, t), + F3B(ETC2_SRGB8, NONE, C0, C1, C2, xx, UNORM, ETC2_RGB, t), + C4B(ETC2_RGB8A1, NONE, C0, C1, C2, C3, UNORM,...

...\ + NV50_TIC_0_FMT_##sz, U_##u \ } #define C4A(p, n, r, g, b, a, t, s, u, br) \ @@ -308,6 +304,10 @@ const struct nv50_format nv50_format_table[PIPE_FORMAT_COUNT] = I3B(R32G32B32X32_SINT, RGBX32_SINT, C0, C1, C2, xx, SINT, 32_32_32_32, TR), I3B(R32G32B32X32_UINT, RGBX32_UINT, C0, C1, C2, xx, UINT, 32_32_32_32, TR), + F3A(R32G32B32_FLOAT, NONE, C0, C1, C2, xx, FLOAT, 32_32_32, tV), + I3A(R32G32B32_SINT, NONE, C0, C1, C2, xx, SINT, 32_32_32, tV), + I3A(R32G32B32_UINT, NONE, C0, C1, C2, xx, UI...

...00 nterpris es 1996. [060] 0A D1 2C 01 2C 01 F8 89 C0 00 F8 86 C0 03 F8 8F ..,.,... ........ [070] 41 C0 00 F8 88 C0 01 F8 82 48 C0 00 F8 28 C0 02 A....... .H...(.. [080] F8 25 C0 01 F8 26 43 D1 00 00 00 00 F8 4C 6B C0 .%...&C. .....Lk. [090] 01 F8 03 C0 02 F8 02 C8 C0 02 FF 00 F8 06 6A C1 ........ ......j. [0A0] AF 09 F8 6C C1 B4 0D F8 6B D1 AF 09 B4 0D F8 67 ...l.... k......g [0B0] C0 01 F8 64 C0 00 F8 62 B0 C1 00 00 F8 6D C1 01 ...d...b .....m.. [0C0] 00 F8 63 C0 01 F8 65 B1 FB 0B 82 FF 82 FF CB FF ..c...e. ........ [0D0] 03 FF FE 00 00 C1 01 00 F8 6D C1 01 00 F8 63 C0 .....

I have two dataframes C and C1. Each has three columns viz. state, psu and weight. The dataframes are of unequal size i.e. C1 could be 2/25/50 rows and C has 42000 rows. C1 is the master table i.e. C1$state, C1$psu and C1$weight are never the same. ThisA. P., Urban, 0 is not so for C. For example C state, psu,weight A. P., Urb...

...from another vector? I'd like to call a pre-existing function for this, but one which can also handle an arbitrarily large number of categories. Any ideas? Cat=c('a','a','a','b','b','b','a','a','b') # Categorical variable C1=vector(length=length(Cat)) # New vector for numeric values # Cycle through each column and set C1 to corresponding value of Cat. for(i in 1:length(C1)){ if(Cat[i]=='a') C1[i]=-1 else C1[i]=1 } C1 [1] -1 -1 -1 1 1 1 -1 -1 1 Cat [1] "a" "a" "a" "b&quo...

...NOUVEAU_DRIVER == 0xc0 > # define NVXX_3D_VAF_SIZE(s) NVC0_3D_VERTEX_ATTRIB_FORMAT_SIZE_##s > # define NVXX_3D_VAF_TYPE(t) NVC0_3D_VERTEX_ATTRIB_FORMAT_TYPE_##t > @@ -296,6 +319,47 @@ const struct nv50_format nv50_format_table[PIPE_FORMAT_COUNT] = > F3B(BPTC_RGB_FLOAT, NONE, C0, C1, C2, xx, FLOAT, BPTC_FLOAT, t), > F3B(BPTC_RGB_UFLOAT, NONE, C0, C1, C2, xx, FLOAT, BPTC_UFLOAT, t), > > + F3B(ETC2_RGB8, NONE, C0, C1, C2, xx, UNORM, ETC2_RGB, t), > + F3B(ETC2_SRGB8, NONE, C0, C1, C2, xx, UNORM, ETC2_RGB, t), > + C4B(ETC2_RGB8A1, NONE,...

Hi, I observed below behavior with Instruction combiner (visitMul Canonicalization) It tries to convert "(X+C1)*C2" to "X*C2+C1*C2" While transforming if operation is guaranteed to not overflow it does not reflect same property to transformed instructions. Consider following scenarios: 1) If input is ((X+C1)*C2)<nsw> Then post canonicalization output should be (X*C2+C1*C2) <nsw>...

...+#define G80_TIC_TYPE_UNORM_FORCE_FP16 0x00000006 +#define G80_TIC_TYPE_FLOAT 0x00000007 +#define G80_SURFACE_FORMAT_BITMAP 0x0000001c +#define G80_SURFACE_FORMAT_UNK1D 0x0000001d +#define G80_SURFACE_FORMAT_RGBA32_FLOAT 0x000000c0 +#define G80_SURFACE_FORMAT_RGBA32_SINT 0x000000c1 +#define G80_SURFACE_FORMAT_RGBA32_UINT 0x000000c2 +#define G80_SURFACE_FORMAT_RGBX32_FLOAT 0x000000c3 +#define G80_SURFACE_FORMAT_RGBX32_SINT 0x000000c4 +#define G80_SURFACE_FORMAT_RGBX32_UINT 0x000000c5 +#define G80_SURFACE_FORMAT_RGBA16_UNORM 0x000000c6 +#define G80_SURFACE_FORMAT...

I'm getting errors like so on initial build of libtheora - 1>c1 : fatal error C1083: Cannot open source file: '..\lib\dec\x86_vc\x86stat.c': No such file or directory 1> mmxstate.c (TaskId:16) 1>c1 : fatal error C1083: Cannot open source file: '..\lib\dec\x86_vc\mmxstate.c': No such file or directory 1> mmxloopfilter.c (TaskId:16) 1...

can list names attributes be preserved through S4 class containment? seems to be so but only if the containment relationship is direct ... see below. > setClass("c1", contains="list") [1] "c1" > l1 = list(a=1, b=2) > o1 = new("c1", l1) > names(o1) # pleasant surprise [1] "a" "b" > setClass("c2", contains="c1") [1] "c2" > o2 = new("c2", l1) > nam...

...Ctrl_FDR 22 Ctrl_FDR 23 Ctrl 24 Ctrl 25 T1D i am converting it to define the groups more uniformly using this code: for( i in 1:dim(c1)[1]) { num_comp<-0 for (j in 1:dim(c1)[2]) if (c1[i,j]==2) num_comp=num_comp+1 #"Y"=2 for (j in 1:dim(c1)[2]) if(num_comp>0) { if (data$t1d_ptype[i] == "T1D" && c1[i ,j] == 2) c2[i,j]<-"T1D_w" if (data$t1d_ptype[i] ==...

...p of the lists in that column and be able to 'denormalise' the data frame so that a row is duplicated for each of its list elements. Example code follows: # The data is read in in this form with the c2 list values in single strings which I then split to give lists: > f1 <- data.frame(c1=0:2, c2=c("A,B,C", "A,E", "F,G,H")) > f1$Split <- strsplit(as.character(f1$c2), ",") > f1 c1 c2 Split 1 0 A,B,C A, B, C 2 1 A,E A, E 3 2 F,G,H F, G, H # So f1$Split is the list of lists column I want to denormalise or use as the subje...

Hi, I'm Wellington from Brazil and I have the following issue: I've been working on a project a for a while, and I'm having trouble in using the loop (for) I need to read a column (c1), and for each value of this column, I need to check if it's within the control limits So, I was trying to do this: For (k in 1: c1) If (c1< lcl1 | c1 > ucl1) {here I need to store the values outside the limits) I have 5 columns, need to do the same process in each one of...

...a map (loop -> expr) on a given scev. This is the apply function on a multi-variate polynomial. So here is an overview of how I would like the scev code generator to work on an example: supposing that we have a Stmt_1 that gets code generated by either CLooG or ISL-codegen like this: Stmt_1(c1, c1+4, c1+c2); we will construct a map that maps the old iteration domain with 3 dimensions (there are 3 arguments in Stmt_1 representing the original loop nest in which Stmt_1 was located, let's call the original loop nest loop_1, loop_2, loop_3) to the new expressions generated by cloog that...

...FieldNo); } static Constant *GetNeg(Constant *C) { return ConstantExpr::getNeg(C); } static Constant *GetFNeg(Constant *C) { return ConstantExpr::getFNeg(C); } static Constant *GetNot(Constant *C) { return ConstantExpr::getNot(C); } static Constant *GetAdd(Constant *C1, Constant *C2) { return ConstantExpr::getAdd(C1, C2); } static Constant *GetFAdd(Constant *C1, Constant *C2) { return ConstantExpr::getFAdd(C1, C2); } static Constant *GetSub(Constant *C1, Constant *C2) { return ConstantExpr::getSub(C1, C2); } static Constant *GetFSub(Con...

salutations! i am doing some longitudinal modeling with sem and thought calculating some "simple variables" would make my model more readable. this is the smallest subset of my model that illustrates the resulting problem. i have 2 observed exogenous variables (c1, d2) and 4 observed endogenous variables (dc1, dd1, dc2, dd2). c1 is the observed state at time 1, dc1 is the change in c from time 1 to time 2 and dc2 is the change in c from time 2 to time 3. i want to predict dc1 and dd1 from both c1 and d1. similarly i want to predict dc2 and dd2 from c2 and...

...this in with an old version, but it's in latest version as well. The fix is simple. In the summary.table function, the parameter is calculated incorrectly for a test of independence among all cells when the table is more than 2-way table. Example: Consider X: > X a b c 1 A1 B2 C1 2 A3 BA3 C2 3 A2 B1 C4 4 A1 B2 C3 5 A3 BA3 C2 6 A1 BA3 C1 7 A2 BA3 C2 8 A1 BA3 C3 9 A1 B2 C1 10 A1 BA3 C2 11 A2 B1 C2 12 A1 B2 C3 13 A3 BA3 C4 14 A2 B1 C3 15 A2 B1 C2 16 A2 BA3 C4 17 A3 BA3 C3 18 A3 BA3 C4 19 A2 BA3 C4 20 A1 B2 C3 21 A1 BA3 C1 22 A2 B1 C2 23 A...

...y ideas/suggestions are welcome? Victor Medina ************** Some relevant steps i did to set it up ************** smbpasswd -w 12345678 net idmap secret DEFAULT 12345678 net idmap secret alloc 12345678 rcwinbind restart net sam provision smbpasswd administrator net rpc rights grant "c1.ve\administrator" SeMachineAccountPrivilege SePrintOperatorPrivilege SeAddUsersPrivilege SeRemoteShutdownPrivilege SeDiskOperatorPrivilege SeTakeOwnershipPrivilege -U administrator rcsmb start && rcnmb start && rcwinbind start *********************************** SMB.conf...

...he try function with boot? I would to do the bootstraping with a nonlinear model(it works well when R < 1000). But it does not work very well (when R is large) thus I try to use "try" to resolve. I put the try function in two cases: case1: put the try in front of the boot > c1.try<-try(boot(c1data, statistic = c1.fun, R=3999),silent=T) > c1.try [1] "Error in nls(formula = density ~ nmf(time, alpha, delta, psi, tau, gamma), : \n Convergence failure: false convergence (8)\n" attr(,"class") [1] "try-error" case2: put the try in front...