Displaying 20 results from an estimated 1376 matches for "1000000".
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0000000
2006 May 03
4
Aggregate?
...ing like this:
YEAR MONTH DAY CONTINUE SPL AREA COUNTY DEPTH
DEPUNIT GEAR GEAR2 TRAPS SOAKTIME UNITS FACTOR DISPOSIT
NUMSETS TRIPST TRIPID
1992 1 26 1 SP0073928 8
25 4 NA 1000000 NA NA
NA 161 1 NA NA
NA 0216 3399054 1992 1 26
1 SP0073928 8 25 4 NA
1000000 NA NA NA 8
1 NA NA...
2006 May 03
4
Aggregate?
...ing like this:
YEAR MONTH DAY CONTINUE SPL AREA COUNTY DEPTH
DEPUNIT GEAR GEAR2 TRAPS SOAKTIME UNITS FACTOR DISPOSIT
NUMSETS TRIPST TRIPID
1992 1 26 1 SP0073928 8
25 4 NA 1000000 NA NA
NA 161 1 NA NA
NA 0216 3399054 1992 1 26
1 SP0073928 8 25 4 NA
1000000 NA NA NA 8
1 NA NA...
2005 May 05
2
problem with plot() and R 2.1.0
...(1:100),y=c(1:100), type="l")
> plot(x=c(1:100),y=sin(c(1:100)), type="l")
> plot(x=c(1:1000),y=sin(c(1:1000)), type="l")
> plot(x=c(1:10000),y=sin(c(1:10000)), type="l")
> plot(x=c(1:100000),y=sin(c(1:100000)), type="l")
> plot(x=c(1:1000000),y=sin(c(1:1000000)), type="l")
> plot(x=c(1:10000000),y=sin(c(1:10000000)), type="l")
all plotted without problem (if you try the last one it might require some patience to plot)
R version 2.0.1
> plot(x=c(1:100),y=c(1:100), type="l")
> plot(x=c(1:100),y=si...
2000 Nov 08
3
Strange means of numbers drawn from rpois
Dear all,
I think I must be going crazy.... If I do
> mean(rpois(1000000, 14))
I get:
[1] 13.50420
and again:
> mean(rpois(1000000, 14))
[1] 13.49896
> mean(rpois(1000000, 14))
[1] 13.50161
> mean(rpois(1000000, 15))
[1] 14.49250
> mean(rpois(1000000, 15))
[1] 14.49897
> mean(rpois(1000000, 14.5))
[1] 13.99689
> mean(rpois(1000000, 14.5))
[1] 13.9963...
2006 May 10
3
Unique?
Hello,
I have sample data set that looks like:
YEAR MONTH DAY CONTINUE SPL TIMEFISH
TIMEUNIT AREA COUNTY DEPTH DEPUNIT GEAR TRIPID
CONVUNIT
1992 1 26 1 SP0073928 8
H 7 25 4 NA 1000000
02163399054 161
1992 1 26 1 SP0073928 8
H 7 25 4 NA 1000000
02163399054 8
1992 1 26 2 SP0004228 8
H 7 25 4 NA 1000000
02163399054 161
1992 1 26 2 SP0004228 8
H 7 25 4 NA 1000000
02163399054 8
1992 1 25 NA SP0052652 8
H 7 25 4 NA 1000000
02163399057 85
1992 1 26 NA SP0037940 8
H 7...
2006 Oct 01
2
array vs matrix vs dataframe?
What is the difference among an array, a dataframe and
a matrix?
Why is the size of a dataframe so much larger? (see
example below)
a<-c(rep(1:1000000,1))
b<-c(rep(1:1000000,1))
c1<-cbind(a,b)
cdf<-as.data.frame(cbind(a,b))
cm<-as.matrix(cbind(a,b))
object.size(a)/1000000
object.size(b)/1000000
object.size(c1)/1000000
object.size(cdf)/1000000
object.size(cm)/1000000
2010 Aug 23
1
Speeding up sum and prod
...oking for more ways to speed up R, I've found that large
improvements are possible in the speed of "sum" and "prod" for long
real vectors.
Here is a little test with R version 2.11.1 on an Intel Linux system
> a <- seq(0,1,length=1000)
> system.time({for (i in 1:1000000) b <- sum(a)})
user system elapsed
4.800 0.010 4.817
> system.time({for (i in 1:1000000) b <- sum(a,na.rm=TRUE)})
user system elapsed
8.240 0.030 8.269
and here is the same with "sum" and "prod" modified as described below:
> a <- seq(0,1,len...
2007 May 12
3
dbmail benchmarking
...QL backend could actually be. Skip to bottom for the
conclusions.
Originally I ran the tests with the databases being in XFS
filesystem. MySQL's performance was horrible. It went 3-7x faster
with ext3.
MySQL 5.0.30 backend (innodb):
./imaptest clients=1 - append=100 seed=1 secs=30 msgs=1000000 logout=0
Logi Sele Appe
100% 100% 100%
5%
1 291 303
So that's 10 messages/sec saved. Now how about with 5 concurrent
clients?
Logi Sele Appe
100% 100% 100%
5%
5 1259 1332
Pretty well. Then something more generic:
./imaptest clients=1 seed=1 secs=30 msgs...
2017 Mar 21
4
Clang -O0 performs optimizations that undermine dynamic bug-finding tools
...{
return count[7];
}
Note, that Clang printed a warning and then optimized the invalid access
away (which is legit since it is UB). However, note that that cases exist
where no warning is printed. For example, consider the following program:
#include <ctype.h>
int main() {
isalnum(1000000);
isalpha(1000000);
iscntrl(1000000);
isdigit(1000000);
isgraph(1000000);
islower(1000000);
isprint(1000000);
ispunct(1000000);
isspace(1000000);
isupper(1000000);
isxdigit(1000000);
}
The glibc (on my system) implements the macros by calling __ctype_b_loc()...
2005 Feb 21
4
rnorm??
I am wondering whether there is a bug in rnorm.
When generating rnorm(1000000) and counting
the cases > 4 and the cases < (-4) I get rather
unexpectedly low counts for the latter. The problem goes away
when using qnorm(runif(1000000)).
Fritz Scholz, PhD
Applied Statistics Group
Boeing Phantom Works
fritz.scholz at pss.boeing.com
425-865-3623
Tu/We 206-542-6545 (most...
2000 Apr 30
2
rpois hangs (PR#530)
Full_Name: Kjetil Kjernsmo
Version: Version 1.0.0
OS: osf1
Submission from: (NULL) (129.240.28.227)
Dear all,
I have come across another really strange bug in rpois.
If I do
> rpois(1, 1000000 * rpois(1, 10000))
sometimes it hangs, and hangs...
On my XP1000 alphaev6 workstation, it seems to happen more
frequently than on other machines. I started a session on an older
computer, and from the start, it looks like this:
> rpois(1, 1000000 * rpois(1, 10000))
[1] 1537190728
> ^[[A
Err...
2014 Aug 28
0
OT: problems with pam_mount
...older).
I think pam had a problem with the kerberos ticket? The error 126?
I tested it with debian/wheezy and Xubuntu 14.04 LTS.
The manual mount work,...
Bye
Gregor
(pam_mount.c:554): pam_mount 2.13: entering session stage
reenter password for pam_mount:
(misc.c:39): Session open: (ruid/rgid=0/1000000, e=0/1000000)
(mount.c:267): Mount info: globalconf, user=gburck <volume fstype="cifs"
server="edfs001.mvz.ffm" path="users\gburck"
mountpoint="/home/MVZ/gburck" cipher="(null)"
fskeypath="(null)" fskeycipher="(null)" fskey...
2012 Sep 21
0
Xen 4.2.0 - CPU Frequency Scaling
...: 0
affected_cpus : 0 2 3 4 5 6 7 8 9 10 11
cpuinfo frequency : max [2000000] min [800000] cur [800000]
scaling_driver :
scaling_avail_gov : userspace performance powersave ondemand
current_governor : ondemand
ondemand specific :
sampling_rate : max [10000000] min [10000] cur [20000]
up_threshold : 80
scaling_avail_freq : 2000000 1500000 1300000 1000000 *800000
scaling frequency : max [2000000] min [800000] cur [800000]
cpu id : 1
affected_cpus : 1
cpuinfo frequency : max [2000000] min [800000] cur [800000]
scalin...
2019 Feb 26
2
UID provided by rid idmap is out of the range imposed in smb.cof
Hello,
I had a problem with Samba winbind id-mapping on a system that is part
of an AD domain.
In the smb.conf I have the following setting:
idmap config <domain> : backend = rid
idmap config <domain> : range = 1000000-3000000
idmap config <domain> : schema_mode = rfc2307
winbindd was failing to convert some user SID to UID and in the idmap
logs I have the following error:
Requested id (7003151) out of range (1000000 - 3000000). Filtered!
I have fixed the issue by increasing the range to 1000000-1000000...
2018 Feb 13
1
dovecot: master: Panic: kevent() failed: Invalid argument
...list, but I didn't see a definitive fix.? If it's
been fixed, please ignore this post (sorry!).
I finally managed to observe the bug on a server that has the patch that
prints out the kevent() timespec values and got:
Nov 29 16:46:27 mail dovecot: master: Panic: kevent(events=74,
ts=59.1000000000) failed: Invalid argument
Looking through the code, the panic is triggered in
io_loop_handler_run_internal().? The timeout values for the kevent()
call are obtained by calling io_loop_get_wait_time(), which in turn
calls timeout_get_wait_time() (both in ioloop.c).
The timeout is computed by...
2007 Dec 06
3
HTB performance improvement
...ngle -A PREROUTING -i eth0.1 -p udp --dport 1003 -j MARK --set-mark 3
iptables -t mangle -A PREROUTING -i eth0.1 -p udp --dport 1003 -j RETURN
iptables -t mangle -A PREROUTING -j MARK --set-mark 4
tc qdisc add dev eth0.2 root handle 1: htb
tc class add dev eth0.2 parent 1: classid 1:1 htb rate 100000000 ceil 100000000 burst 1000000 quantum 1600
tc class add dev eth0.2 parent 1:1 classid 1:10 htb prio 1 rate 70000000 ceil 70000000 burst 1000000 quantum 1600
tc class add dev eth0.2 parent 1:1 classid 1:11 htb prio 2 rate 10000000 ceil 10000000 burst 1000000 quantum 1600
tc class add dev eth0.2...
2009 Sep 09
10
dtrace overhead and proper measuring technique
...self->vts = 0;
}
pid$target::nsMenuX??MenuConstruct*:entry
{
self->ts = timestamp;
self->vts = vtimestamp;
}
pid$target::nsMenuX??MenuConstruct*:return
/self->ts/
{
this->ts = timestamp - self->ts;
this->vts = vtimestamp - self->vts;
@tsint = sum(this->ts / 1000000);
@tsfrac = sum(this->ts % 1000000);
@vtsint = sum(this->vts / 1000000);
@vtsfrac = sum(this->vts % 1000000);
@n = count();
self->ts = 0;
self->vts = 0;
/*ustack();*/
}
END
{
t = timestamp;
printa("elapsed: %@u.%@06ums\n", @tsint, @tsfrac);
printa("...
2019 Dec 05
5
security = ads, backend = ad parameter not working in samba 4.10.10
...convert sid S-1-5-21-2685600491-4108878147-961307473-
> > 2662:
> > NT_STATUS_NO_SUCH_USER
> >
> >
> > [1]
> > idmap config CORP.LOCAL : backend = ad
> >
> > [2]
> > root at repo:~# getent passwd "vmjp01"
> > vmjp01:*:1000019:1000000::/srv/samba/users/vmjp01:/bin/false
> > root at repo:~# getent passwd "maa001"
> > maa001:*:1000020:1000000::/srv/samba/users/maa001:/bin/false
> > root at repo:~# getent passwd "tsdg01"
> > tsdg01:*:1000021:1000000::/srv/samba/users/tsdg01:/bin/false
>...
2019 Dec 05
2
security = ads, backend = ad parameter not working in samba 4.10.10
...sswd username' don't produce any new id .
and in /var/log/samba/winbindd.log I see
Could not convert sid S-1-5-21-2685600491-4108878147-961307473-2662:
NT_STATUS_NO_SUCH_USER
[1]
idmap config CORP.LOCAL : backend = ad
[2]
root at repo:~# getent passwd "vmjp01"
vmjp01:*:1000019:1000000::/srv/samba/users/vmjp01:/bin/false
root at repo:~# getent passwd "maa001"
maa001:*:1000020:1000000::/srv/samba/users/maa001:/bin/false
root at repo:~# getent passwd "tsdg01"
tsdg01:*:1000021:1000000::/srv/samba/users/tsdg01:/bin/false
root at repo:~# getent passwd "rmac01&...
2018 Sep 21
1
Bias in R's random integers?
...25 45 90 98 11 44 51
> set.seed(42)
> sample_int(6, 10, replace = TRUE)
[1] 6 6 2 5 4 4 5 1 4 5
> sample_int(100, 10)
[1] 46 72 92 25 45 90 98 11 44 51
But there is no bias with the alternative method:
> m <- ceiling((2/5)*2^32)
> set.seed(42)
> x <- sample.int(m, 1000000, replace = TRUE)
> table(x %% 2)
0 1
467768 532232
> set.seed(42)
> y <- sample_int(m, 1000000, replace = TRUE)
> table(y %% 2)
0 1
500586 499414
The differences are also visible when sampling only a few values from
'm' possible values:
> set.s...