tebeka

>>> for c in ['a', 'c', 'c']:
	print(c)

	
a
c
c
>>> for c in 'abc':
	print c

tebeka

(test) ERROR [dimension-etl-copy-dims-to-local-and-load-fdm thread-6] (ExecutionModelImpl.java:159) : No workflow model exists with id: 1
(test) ERROR [dimension-etl-copy-dims-to-local-and-load-fdm thread-6] (ExecutionModelImpl.java:159) : No workflow model exists with id: 1
cwd=target/workflow-test/jobs
(test) ERROR [dimension-etl-copy-dims-to-local-and-load-fdm thread-6] (LoggingJob.java:115) : Fatal error occurred while running job 'dimension-etl-copy-dims-to-local-and-load-fdm':
java.lang.RuntimeException: Processes ended with exit code 1.
	at azkaban.jobs.builtin.ProcessJob.run(ProcessJob.java:103)
	at azkaban.app.LoggingJob.run(LoggingJob.java:106)
	at azkaban.flow.IndividualJobExecutableFlow$1.run(IndividualJobExecutableFlow.java:180)
	at java.lang.Thread.run(Thread.java:619)
(test) ERROR [dimension-etl-copy-dims-to-local-and-load-fdm thread-6] (ExecutionModelImpl.java:178) : No workflow model exists with id: 1

tebeka

from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from threading import Thread

class Handler(BaseHTTPRequestHandler):
    data = None # Data got from the request
    status = 200 # Status to return
    reply = 'wassup?' # Reply to return

    def do_POST(self):
        length = int(self.headers.get('Content-length'))

tebeka

import re

def parse_cell(cell):
    '''Parse a cell, return row, column.
    Note that we convert rows to 0 based indexing.
    
    >>> prase_cell('A2')
    (1, 0)
    '''
    column = re.match('[A-Z]+', cell).group()

tebeka

import "fmt"

func main() {
    fmt.Println("Hello Go!")
}

tebeka

#!/usr/bin/env python

from urllib import urlopen

def get_metrics(url):
    metrics = {}
    for line in urlopen(url):
        key, value = line.split(':', 1)
        try:
            value = float(value)

tebeka

package main

import (
	"fmt"
)

func main() {
	answers := make(map[int]bool)
	answers[10] = true

tebeka

#!/usr/bin/env python

import json
from collections import OrderedDict

def make_repr(*fields):
    def repr(self):
        return json.dumps(OrderedDict((f, getattr(self, f)) for f in fields),
                          indent=4)
    return repr

tebeka

package main

import (
	"fmt"
)

type Event interface {
	Equals(other Event) bool
}

tebeka

from itertools import chain

def istail(it):
    '''Check if iterator has one more element. Return True/False and
    iterator.'''
    try:
        i = next(it)
    except StopIteration:
        return False, it