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Ugh. Management lobotomy kicked in. Need to RTFC better. On Thu, Feb 25, 2010 at 6:18 PM, Scott Michel <scooter.phd at gmail.com> wrote: > There's an assert at line 192, lib/CodeGen/RegisterScavenging.cpp that > appears to get tripped on targets that don't have subregisters defined: > > bool SubUsed = false; &g...

There's an assert at line 192, lib/CodeGen/RegisterScavenging.cpp that appears to get tripped on targets that don't have subregisters defined: bool SubUsed = false; for (const unsigned *SubRegs = TRI->getSubRegisters(Reg); unsigned SubReg = *SubRegs; ++SubRegs) if (isUsed(SubReg)) { SubUsed = true; break; }

The documentation of as.data.frame is not explicit about how it generates column names for the simple vector case, but it seems to use the character form of the quoted argument, e.g. names(as.data.frame(1:3)) [1] "1:3" But there is a strange case: names(as.data.frame(c("a"))) [1] "if (stringsAsFactors) factor(x) else x" I feel fairly comfortable calling this a

...sert gets tripped. Ok, back to the original question: What was the original intent in this code (lines 186-193 in lib/CodeGen/RegisterScavenging.cpp)? -scooter On Thu, Feb 25, 2010 at 7:00 PM, Scott Michel <scooter.phd at gmail.com> wrote: > Ugh. Management lobotomy kicked in. Need to RTFC better. > > > On Thu, Feb 25, 2010 at 6:18 PM, Scott Michel <scooter.phd at gmail.com>wrote: > >> There's an assert at line 192, lib/CodeGen/RegisterScavenging.cpp that >> appears to get tripped on targets that don't have subregisters defined: >> >>...

Hi, I just encountered a problem in R that may easily be fixed: If one uses attach for a data.frame e.g. 10000 times and forgets detach, then R gets incredibly slow (less then 10% of the original speed). My system: platform powerpc-apple-darwin6.0 arch powerpc os darwin6.0 system powerpc, darwin6.0 status major 1 minor 6.1 year 2002

I need read a table in a string with special format. I used read.csv and textConnection function. But i am confuse about textConnection by follow code. case A: It is OK£¡ str0 <- '{"abc",{"def","X,1&Y,2&Z,3"}}' str1 <- strsplit(str0,'"')[[1]][6] str2 <- gsub("&","\n", str1) con <-