29%
07.11.2011
compute(istart, iend):
06 isum = 0
07 for i in xrange(istart, iend+1):
08 isum += i**3 + 123456789*i**10 + i*23456789
09
10 return isum
11
12 if '__main__' == __name__:
13
14
29%
14.11.2013
use strict;
04 use Exporter;
05 use vars qw($VERSION @ISA @EXPORT @EXPORT_OK %EXPORT_TAGS);
06
07 $VERSION = 1.0;
08 @ISA = qw(Exporter);
09 @EXPORT = ();
10 @EXPORT_OK = qw
29%
17.02.2015
168
(gdb) p j
$3 = 144
(gdb) c
Breakpoint 2, Calc_vacf () at MD.o.c:671
671 vacf[j-i]=0;
(gdb) p &j
$6 = (int *) 0xffffc168
(gdb) p j
$7 = 144
On the other hand, when dealing with the ELF
29%
05.02.2023
are especially popular. A simple call to create a MySQL database would be:
gcloud sql instances create myinstance --database -version=MYSQL_8_0 --cpu=2 --memory=7680MB --region=europe-west3
The corresponding
29%
14.08.2017
-Agent: curl/7.51.0
08 > Accept: */*
09 >
10 < HTTP/1.1 200 OK
11 < Content-Type: application/json
12 < Content-Length: 382
13 < X-Content-Type-Options: nosniff
14 < Server: WEBrick/1.3.1 (Ruby/2.3.3
29%
14.03.2018
risks, quantifying possible data loss and responding to attacks. Apache Spot [3] uses big data and modern ML components to improve the detection and analysis of security problems. Apache Spot 1.0 has been
29%
03.08.2023
= 'The Catcher in the Rye';
UPDATE books SET price = price * 0.8 WHERE title = 'To Kill a Mockingbird';
COMMIT;
CockroachDB ensures that either both price updates are applied or neither of them are
29%
07.06.2019
--retry 3 --retry-delay 0 --retry-max-time 60 ${JENKINS_UC}/jenkins.war -o ${JENKINS_HOME}/jenkins.war
30 RUN for P in ${PLUGINS}; do curl -sSfL --connect-timeout 20 --retry 2 --retry-delay 0 --retry
29%
16.01.2013
$ starcluster help
StarCluster - (http://web.mit.edu/starcluster) (v. 0.93.3)
Software Tools for Academics and Researchers (STAR)
Please submit bug reports to starcluster@mit.edu
!!! ERROR - config file
29%
26.01.2025
Flow, Microsoft Cognitive Toolkit (commonly referred to as CNTK), Theano, and PlaidML. By version 2.4, Keras only supported TensorFlow. In version 3.0 and subsequent versions, Keras once again supported multiple
