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Regular Expression Engine Comparison Chart

Many different applications claim to support regular expressions. But what does that even mean?

Well there are lots of different regular expression engines, and they all have different feature sets and different time-space efficiencies.

The information here is just copied from: http://regular-expressions.mobi/refflavors.html

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#!/bin/bash

# Tom Hale, 2016. MIT Licence.
# Print out 256 colours, with each number printed in its corresponding colour
# See http://askubuntu.com/questions/821157/print-a-256-color-test-pattern-in-the-terminal/821163#821163

set -eu # Fail on errors or undeclared variables

printable_colours=256

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GitHub Flavored Asciidoc (GFA)

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Asciidoc cheatsheet for GitHub

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/**
 Generate a random date sometime between now and n days before day.
 
 Also, generate a random time to go with the day while we are at it.

 @param days date range between today and minimum date to generate
 @return random date
 @see http://stackoverflow.com/questions/10092468/how-do-you-generate-a-random-date-in-objective-c
 */

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import re

from sqlalchemy.ext.compiler import compiles
from sqlalchemy.schema import CreateTable, DropTable, \
         CreateSequence, DropSequence, CreateIndex, DropIndex
from sqlalchemy.dialects.postgresql import DropEnumType

patches = (
    (CreateTable, 'visit_create_table', "^\s*CREATE TABLE", "CREATE TABLE IF NOT EXISTS"),
    (CreateIndex, 'visit_create_index', "^\s*CREATE INDEX", "CREATE INDEX IF NOT EXISTS"),

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from sqlalchemy_dump import dump_sql


def create_all_sql(metadata):
    return dump_sql(metadata.create_all, bind=True)()
    
def drop_all_sql(metadata):
    return dumpsql(metadata.drop_all, bind=True)()

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# based on: https://gist.github.com/exhuma/5935162#file-representable_base-py

class RepresentableBase(object):
    """ Add automatic __repr__ and __str__ to SQLAlchemy ORM models
    """
    def _repr_worker(self, attribute):
        mapper = object_mapper(self)
        items = [(p.key, getattr(self, p.key))
            for p in (
                mapper.get_property_by_column(c)