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"""
This module provides a simple WSGI profiler middleware for finding 
bottlenecks in web application. It uses the profile or cProfile 
module to do the profiling and writes the stats to the stream provided

To use, run `flask_profiler.py` instead of `app.py`

see: http://werkzeug.pocoo.org/docs/0.9/contrib/profiler/
and: http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-xvi-debugging-testing-and-profiling
"""

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from flask import Flask, render_template
from flask.ext.wtf import Form, widgets, SelectMultipleField

SECRET_KEY = 'development'

app = Flask(__name__)
app.config.from_object(__name__)

class MultiCheckboxField(SelectMultipleField):
    widget = widgets.ListWidget(prefix_label=False)

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import mock
def mock_object(data=None):
    result = mock.MagicMock()
    for key, value in data.iteritems():
        if isinstance(value, dict):
            result.configure_mock(**{
                key: mock_object(value),
            })
        else:
            result.configure_mock(**{

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// Includes functions for exporting active sheet or all sheets as JSON object (also Python object syntax compatible).
// Tweak the makePrettyJSON_ function to customize what kind of JSON to export.

var FORMAT_ONELINE   = 'One-line';
var FORMAT_MULTILINE = 'Multi-line';
var FORMAT_PRETTY    = 'Pretty';

var LANGUAGE_JS      = 'JavaScript';
var LANGUAGE_PYTHON  = 'Python';

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Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.