29%
21.01.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
29%
17.06.2017
integer :: allocate_status
08 !
09 n = 10
10 allocate( array(n, n), stat = allocate_status )
11 if (allocate_status /= 0) stop "Could not allocate array"
12 !
13 subarray => array(3:7,3:7)
14
29%
09.04.2019
unexplained delays of a few seconds while renaming some gigabyte-sized files [2] on a fast cloud instance [3]. I was able to reproduce his result in an AWS EC2 m5d.large instance running Ubuntu Server 18
29%
23.03.2022
Inodes IUsed IFree IUse% Mounted on
udev 32968052 916 32967136 1% /dev
tmpfs 32983590 1409 32982181 1% /run
/dev/nvme0n1p2 31227904 814030 30413874 3% /
tmpfs 32983590
29%
07.02.2019
exiting the data region, the data from the accelerator is copied back to the host. Table 3 shows a simple example of using the copy
clause.
Table 3: The copy
Clause
Fortran
C
!$acc
29%
20.06.2022
-latest/rancher --namespace cattle-system --set hostname=Host --set replicas=3 --set ingress.tls.source=letsEncrypt --set letsEncrypt.email=E-Mail --set letsEncrypt.ingress.class=nginx
# kubectl -n cattle
29%
12.09.2013
, events=POLLIN|POLLERR}], 1, -1) = 1 ([{fd=3, revents=POLLIN}])
recvfrom(3, "2\0\0\0\4T\0\0\0!\0\1pg_sleep\0"..., 16384, 0, NULL, NULL) = 143
write(2, "<<< at -e line 1.\n", 18<<< at -e line 1.
) = 18
29%
20.03.2014
.
The most important data structure in NumPy is the N
-dimensional array, ndarray. In a one-dimensional case, ndarrays are vectors. Unlike Python lists, the size of NumPy arrays is immutable; its elements
29%
20.10.2016
integer :: allocate_status
!
n = 10
allocate( array(n, n), stat = allocate_status )
if (allocate_status /= 0) stop "Could not allocate array"
!
subarray => array(3:7,3
29%
12.03.2014
]})
An optional index
list determines the indices, as for a Series.
In: DataFrame({'a': [1, 2], 'b': [3, 4]}, columns=['a', 'c'], index=['top', 'bottom'])
Out:
a c
top 1 NaN
bottom 2 NaN
