consideRatio

{{/*
    Returns given number of random Hex characters.

    In practice, it generates up to 100 randAlphaNum strings
    that are filtered from non-hex characters and augmented
    to the resulting string that is finally trimmed down.
*/}}
{{- define "jupyterhub.randHex" -}}
    {{- $result := "" }}
    {{- range $i := until 100 }}

consideRatio

start_over='true'
while start_over == 'true':
    print('Mata in')
    principle=int(input('Startsumma:'))
    rate=float(input('Förmodad ränta per år:'))
    time=int(input('Sparhorisont (antal år):'))
    real_rate = rate * 0.01

    a = 0

consideRatio

"""
This is a basic script that prints shares of CPU/Memory for machines of
different size. The script reads a list of nodes specifications, then prints
node share choices based on how much memory is required.

The mem_guarantee specification is calculated for each node by first subtracting
4 GB of memory for each node. This is to ensure that all nodes retain ~4 GB of
memory.
"""

consideRatio

"""
Check for orphan single-user pods

Compares JupyterHub API list of running servers
to list of running pods in kubernetes
in order to identify discrepancies

see https://github.com/jupyterhub/kubespawner/pull/742
"""

consideRatio

# This is a JupyterHub Helm chart (z2jh) configuration file that:
#
# - injects a Python script to /tmp/cleanup-orphaned-pods.py via hub.extraFiles
# - defines a managed JupyterHub service to run the Python script with
#   permissions ask the JupyterHub REST API about what users' servers are active
#
# It was developed to help cleanup user server pods that could end up orphaned
# by JupyterHub using KubeSpawner 5.0-6.0 or the z2jh versioned 3.0. For more
# information, visit this forum post:
# https://discourse.jupyter.org/t/how-to-cleanup-orphaned-user-pods-after-bug-in-z2jh-3-0-and-kubespawner-6-0/21677