arm2arm

[root@clei36 ~]# lsblk 
NAME                                                                                  MAJ:MIN RM  SIZE RO TYPE  MOUNTPOINT
sda                                                                                     8:0    0  1.8T  0 disk  
├─sda1                                                                                  8:1    0  500M  0 part  /boot
└─sda2                                                                                  8:2    0  1.8T  0 part  
  ├─centos_clei36-swap                                                                253:0    0 31.5G  0 lvm   [SWAP]
  ├─centos_clei36-root                                                                253:1    0   50G  0 lvm   /
  └─centos_clei36-home                                                                253:2    0  1.8T  0 lvm   /home
sdb                                                                                     8:16   0   14T  0 disk  
└─360014054d5aa7f25ddc40eba440f2275                                  

arm2arm

license: mit

arm2arm

Install

conda create -y -n streamlit python=3.6
conda activate streamlit
pip install streamlit

Usage

in the x11 terminal:

streamlit hello 

arm2arm

# HPC MPI enviroment for python jobs

```
conda create -n mpi
conda activate mpi
conda install openmpi openmpi-mpicc mpi4py matplotlib astropy scikit-learn pandas pytables 
```

# testing

arm2arm

# If you change some settings in the zfs dataset you should rebalance it in order to store data with this current settings.
# Usage:
# zfs set recordsize=1M data/archive
# sh ./rebalance_zfs.sh /data/archive| parallel -P 16 --eta
mypath=$1

find $mypath   -type f  | xargs -d '\n' -I{}  echo "rsync  -a --inplace  \"{}\" \"{}.abcdef\";unlink \"{}\";mv \"{}.abcdef\" \"{}\" "

arm2arm

# Usage:
# sh ./fs_hist.sh /data/archive
mypath=$1
find   $mypath   -type f | wc -l 
find   $mypath   -type f -print0 | xargs -0 ls -l | awk '{ n=int(log($5)/log(2)); if (n<10) { n=10; } size[n]++ } END { for (i in size) printf("%d %d\n", 2^i, size[i]) }' | sort -n | awk 'function human(x) { x[1]/=1024; if (x[1]>=1024) { x[2]++; human(x) } } { a[1]=$1; a[2]=0; human(a); printf("%3d%s: %6d\n", a[1],substr("kMGTEPYZ",a[2]+1,1),$2) }'

arm2arm

#!/bin/bash
echo "
# HELP node_ipmi_get_power_watts Power sensor reading from ipmitool
# TYPE node_ipmi_get_power_watts gauge
" > /var/lib/node_exporter/textfile_collector/ipmitool_get_power.prom.$$
/usr/bin/ipmitool  dcmi power reading| grep Instantaneous| awk '{printf"node_ipmi_get_power_watts{sensor=\"PW Consumption\"} %d\n",$4}' >>  /var/lib/node_exporter/textfile_collector/ipmitool_power.prom.$$
/usr/bin/mv /var/lib/node_exporter/textfile_collector/ipmitool_power.prom.$$ /var/lib/node_exporter/textfile_collector/ipmitool_get_power.prom

arm2arm

Enviroment:

• gtilab runner working on the debian 10.x VM
• runner requre dind to compile docker images and push them to the local registry

Error:

• All is working only
• Containers with the CentOS 5,6 or debian 8 are failing
• message: ERROR: Job failed: exit code 139
• any operation with syscalls are stopping workers docker container

arm2arm

""" Sample TensorFlow XML-to-TFRecord converter

usage: generate_tfrecord.py [-h] [-x XML_DIR] [-l LABELS_PATH] [-o OUTPUT_PATH] [-i IMAGE_DIR] [-c CSV_PATH]

optional arguments:
  -h, --help            show this help message and exit
  -x XML_DIR, --xml_dir XML_DIR
                        Path to the folder where the input .xml files are stored.
  -l LABELS_PATH, --labels_path LABELS_PATH
                        Path to the labels (.pbtxt) file.

arm2arm

apiVersion: kind.x-k8s.io/v1alpha4
kind: Cluster
nodes:
  - extraPortMappings:
      - containerPort: 30443
        hostPort: 30443
        protocol: TCP
     # START
      - containerPort: 30080
        hostPort: 30080