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from selenium.common.exceptions import NoSuchElementException, ElementClickInterceptedException
from selenium import webdriver
import time
import pandas as pd

def get_jobs(keyword, num_jobs, verbose):
    
    '''Gathers jobs as a dataframe, scraped from Glassdoor'''
    
    # Initializing the webdriver

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[TOC]

Preliminaries/Import

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import DataFrame, Series

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TL;DR

• Create 10GB FreeBSD image using QEMU.
• Run the VM using xhyve.
• Mount host directory.
• Resize the image.

Requisites

• OSX
• Homebrew

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"""
Single Responsibility Principle
“…You had one job” — Loki to Skurge in Thor: Ragnarok
A class should have only one job. 
If a class has more than one responsibility, it becomes coupled. 
A change to one responsibility results to modification of the other responsibility.
"""

class Animal:
    def __init__(self, name: str):

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How to get an estimate of the impact of writing Postgres logs with log_min_duration_statement = 0:

1. Do select pg_stat_statements_reset(); and wait N seconds (where N >> 60 – say 1-24 hours, covering typical busy hours). Remember when it was, and write down somewhere – this timestamp will be needed!

2. Check if select count(*) from pg_stat_statements is lower than pg_stat_statements.max. If it's equal to it, then raise pg_stat_statements.max and restart with the step 1.

3. Get the estimate:

\set TS_PGSS_RESET 'XXXX-XX-XX XX:XX:XX';

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--
-- ** setting up example tables and data **
-- 
-- 

CREATE TABLE task (
  id BIGSERIAL ,
  name TEXT,
  parent_id BIGINT REFERENCES task(id),
  PRIMARY KEY (id)

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[pytest]
log_cli = true
log_cli_date_format = %H:%M:%S
log_cli_format = %(asctime)s.%(msecs)03d %(levelname)-8s %(name)-32s %(threadName)-12s %(message)s
addopts = --quiet --showlocals --tb=short

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#Code from http://fmota.eu/, great!
class Monoid:
	def __init__(self, null, lift, op):
		self.null = null
		self.lift = lift
		self.op   = op

	def fold(self, xs):
		if hasattr(xs, "__fold__"):
			return xs.__fold__(self)

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from rasa_nlu.training_data import load_data

# This re-uses the Rasa NLU converters code to turn a JSON Rasa NLU training
# file into MD format and save it

# Assumes you have Rasa NLU installed :-)

# If you want other options, look at the NLU code to work out how to handle them

# USE AT YOUR OWN RISK

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Using ssh Command:

# sudo only necessary to bind to protected port such as 80 or 443
sudo gcloud compute ssh <instance_name> -- -N -L 80:localhost:80

Using start-iap-tunnel Command

# sudo only necessary to bind to protected port such as 80 or 443
sudo gcloud compute start-iap-tunnel  80 --local-host-port=localhost:80