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"""use get_logger:
from this_logging import get_logger; logger = get_logger(__name__)
# then you can:
logger.debug("foo")
# and if you want to change the logging level:
import logging
logger.parent.setLevel(logging.DEBUG)
"""
from os.path import dirname, join, exists
import logging

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from paste.httpserver import ThreadPool
pool = ThreadPool(5)

import random
import time

def do_work(t):
    print 'about to sleep for %s sec' %  (t,)
    time.sleep(t)
    print 'slept for %s' %(t)

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#!/bin/bash

# tested on osx, mostly
# tested on ubuntu
#
# to use:  /bin/bash -xc "$( curl -fsSL 'https://raw.github.com/gist/1146774' )"
#
# 

set -o errexit

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class RoleHostsGenerator(object):
    """ generator for the env.hosts dictionary"""
    def __init__(self,hostfile=HOSTS_FILE):
        self.hostfile=HOSTS_FILE
    
    def __getitem__(self,key):
        print self.hostfile
        print key
        l = list(_gethosts(key,open(self.hostfile)))
        print l

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class RoleHostsGenerator(object):
    """ generator for the env.hosts dictionary"""
    def __init__(self,hostfile=HOSTS_FILE):
        self.hostfile=HOSTS_FILE
    
    def __getitem__(self,key):
        print self.hostfile
        print key
        l = list(_gethosts(key,open(self.hostfile)))
        print l

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"""
$ fab -f blah.py -H web03 somefun
[web03] Executing task 'somefun'
[web03] sudo: uname -a

Fatal error: Name lookup failed for web03

Aborting.
would have aborted, but env.ignore_abort 1

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#!/usr/bin/env python

"""
Example fabfile for PyMNtos September 2011 meeting.

some examples of usage:

$ fab -H somehost -- uname -a
$ fab -H somehost run:'uname -a'
$ fab -d example

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Guidelines for Efficient Moderated Meetings

Purpose

• have short, efficient meetings that honor the contributions of all members

• prevent many failure modes that derail meetings, including:

  • going too long

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# from discussion of bring the block to the iterator at
# http://mettadore.com/ruby/ruby-blocks-seeking-closure/

## Ruby Version
'''
class Kids < Array
  def each_one
    self.each_with_index do |n, i|
      yield(n)

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"""
Sketch of proposed behaviour... make 'list of dicts'
create a (potentially) 'ragged' array, with autoguessed column names,
and sensible default values, where the keys don't match.

Current behaviour

In [215]: pandas.DataFrame([dict(a=1),dict(a=2)],columns=['a'])
Out[215]: 
   a