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[PATCH 1/3] kms: Don't hardcode the output properties [PATCH 2/3] kms: Implement output->get_property when RandR1.3 is available. [PATCH 3/3] kms: Add TV-out support src/drmmode_display.c | 403 ++++++++++++++++++++++++++++++++----------------- 1 files changed, 261 insertions(+), 142 deletions(-)

...ut_private_ptr drmmode_output = output->driver_private; @@ -800,30 +827,17 @@ drmmode_output_create_resources(xf86OutputPtr output) value = drmmode_output->mode_output->prop_values[p->index]; if (drmmode_prop->flags & DRM_MODE_PROP_RANGE) { - INT32 range[2]; - p->num_atoms = 1; p->atoms = calloc(p->num_atoms, sizeof(Atom)); if (!p->atoms) continue; - p->atoms[0] = MakeAtom(drmmode_prop->name, strlen(drmmode_prop->name), TRUE); - range[0] = drmmode_prop->values[0]; - range[1] = drmmode_prop->values[1]; - err = RRConfigureO...

...Honeycutt > > I am working with data sets in which the number and order of columns > may vary, but each column is uniquely identified by its name. E.g., > one data set might have columns > MW logP Num_Rings Num_H_Donors > while another has columns > Num_Rings Num_Atoms Num_H_Donors logP MW > > I would like to be able to perform a principal component > analysis (PCA) > on one data set and save the PCA object to a file. In a > later R session, > I would like to load the object and then apply the loadings to a new > data set in order to c...

....som # write out results write.table(rdata.som$codes, file="c:/temp/A8F.tmp", sep=",", col.names=T, row.names=F, quote=F, append = FALSE) And here are the first few lines of the (large) data file A8A.tmp: ALogP,Molecular_Weight,Num_H_Donors,Num_H_Acceptors,Num_RotatableBonds,Num_Atoms,Num_Rings,Num_AromaticRings 4.216,322.35781,0,4,6,24,2,2 5.752,429.38372,2,4,9,26,2,2 4.425,341.48871,1,5,10,22,1,1 4.366,327.46213,1,5,11,21,1,1 0.261,254.16304,0,8,5,18,2,2 6.45,316.47912,0,0,2,24,5,2 If I compare the A8F.tmp output files produced by 1.9.1 and 2.0.1, they look very different....

I am working with data sets in which the number and order of columns may vary, but each column is uniquely identified by its name. E.g., one data set might have columns MW logP Num_Rings Num_H_Donors while another has columns Num_Rings Num_Atoms Num_H_Donors logP MW I would like to be able to perform a principal component analysis (PCA) on one data set and save the PCA object to a file. In a later R session, I would like to load the object and then apply the loadings to a new data set in order to compute the principal component (PC) v...