kagesenshi

import cmd
import argparse
from sqlalchemy import create_engine, text
from sqlalchemy.exc import ProgrammingError
from tabulate import tabulate

class SQLShell(cmd.Cmd):
    intro = ("Welcome to SQLAlchemy REPL Shell. Type 'exit' to quit. \n"
             "This shell does not execute queries immediately. Press CTRL+D or type 'EOF' to execute. \n")
    _default_prompt = "SQL> "

kagesenshi

FROM centos:stream8

RUN dnf install epel-release -y && \
    dnf groupinstall "Development Tools" -y --enablerepo powertools && \
    dnf install --enablerepo powertools \
    R-core-devel pandoc \
    python3-devel git \
    openblas \
    java-1.8.0-openjdk-devel gcc gcc-c++ -y && \
    dnf clean all -y

kagesenshi

mysqlSetupJob:
  enabled: false

postgresqlSetupJob:
  enabled: true

elasticsearchSetupJob:
  extraEnvs:
    - name: USE_AWS_ELASTICSEARCH

kagesenshi

#!/bin/bash

PARSED=$(getopt -a -n setup-node -o :n:i: --long name:,ip: -- "$@")
VALID_ARGS=$?
GATEWAY=10.210.14.1
DNS=10.210.14.2

usage() {
   echo "Usage: $0 -n [NAME] -i [IP]"
   exit 1

kagesenshi

#!/usr/bin/python3

from subprocess import Popen, PIPE

def start_monitor(domain, interval: int = 10):
    proc = Popen(['virsh','dommemstat', domain, '--period', str(interval)], 
                 stdout=PIPE)
    proc.wait()
    

kagesenshi

import openai

class SentimentAnalyzer(object):

    def __init__(self, language):
        self._language = language

    def _prompt(self):
        prompt = """
            The following sentence is in %s language. 

kagesenshi

Computer Information:
    Manufacturer:  Unknown
    Model:  Unknown
    Form Factor: Desktop
    No Touch Input Detected

Processor Information:
    CPU Vendor:  GenuineIntel
    CPU Brand:  Intel(R) Core(TM) i5-4460  CPU @ 3.20GHz
    CPU Family:  0x6

kagesenshi

# Data cleansing helper functions
from pyspark.sql import functions as F
from pyspark.sql import Window, DataFrame
from IPython.display import HTML, Markdown
from pyspark.ml.feature import VectorAssembler
import pandas as pd
import matplotlib.pyplot as plt

def transform(self, function, *args, **kwargs):
    return function(self, *args, **kwargs)

kagesenshi

# to use this, set REALM to your KRB realm, and create keytabs for each user in
# /etc/security/keystabs/<username>.jupyter.keytab
# 
# Save this file in your site-packages directory as krbspawner.py
# 
# then in /etc/jupyterhub_config.py, set:
#
#    c.JupyterHub.spawner_class = 'krbspawner.KerberosSpawner'

kagesenshi

from __future__ import print_function
import sys
from multiprocessing import Process, Pool, cpu_count

def transform(*args):
    # -- do something here -- 
    return []

def process_line(line):
    line = line.strip().split('\t')