[IPython-dev] problem with publish_display_data?

[Jonathan Taylor]

Sorry, in looking over my other code I had called publish_display_data
twice but thought it was only once. So, I haven't found a bug.

On Wed, Jun 13, 2012 at 6:56 PM, MinRK <benjaminrk at gmail.com> wrote:

>
>
> On Wed, Jun 13, 2012 at 6:51 PM, Jonathan Taylor <
> jonathan.taylor at stanford.edu> wrote:
>
>> I was a little confused because sometimes it displays several things.
>
>
> When have you seen multiple displays from one display call?  This would be
> a bug.
>
>
>> The idea with having several values in the dict is that they might be
>> different representations of the same output?
>
>
> Precisely. One call == one thing to display.
>
>
>>
>>
>> On Wed, Jun 13, 2012 at 4:08 PM, MinRK <benjaminrk at gmail.com> wrote:
>>
>>>
>>>
>>> On Wed, Jun 13, 2012 at 3:52 PM, Jonathan Taylor <
>>> jonathan.taylor at stanford.edu> wrote:
>>>
>>>> On the master branch, I am getting some unexpected behaviour when I try
>>>> the following
>>>>
>>>> import numpy as np
>>>> from IPython.core.displaypub import publish_display_data
>>>>
>>>> class NormalMean(object):
>>>>     """
>>>>     Sample from N(mean, sd) independently n times
>>>>     """
>>>>     tol = 5.e-2
>>>>     checkable = True
>>>>
>>>>     def __init__(self, mean, sd, n, identifier):
>>>>         self.mean = mean
>>>>         self.identifier = identifier
>>>>         self.sd = sd
>>>>         self.n = n
>>>>         self.sequence = self.generate()
>>>>         self.correct_answer = np.mean(self.sequence)
>>>>
>>>>     def generate(self):
>>>>         return np.round(np.random.standard_normal(self.n), 1) * self.sd+ self.mean
>>>>
>>>>     @property
>>>>     def answer(self):
>>>>         return np.mean(self.sequence)
>>>>
>>>>     def publish(self, return_data=False):
>>>>
>>>>         data = {'text/latex': r"What is the sample mean, $\bar{X}$ of
>>>> this sequence: %s ?" % `["%0.1f" % s for s in self.sequence]`,
>>>>                 'text/html': ''}
>>>>
>>>>         data['text/html'] += '<form method="post" name=%s ><p><input
>>>> type="text" ></p></form>' % self.identifier
>>>>         data['application/json'] = {'constructor_info': ('normal_mean',
>>>> [self.mean, self.sd, self.n], {})}
>>>>         publish_display_data("NormalMean", data)
>>>>         if return_data:
>>>>             return data
>>>>
>>>>     def check_answer(self, answer):
>>>>         if np.fabs(answer - self.correct_answer) /
>>>> np.std(self.sequence) < self.tol:
>>>>             data = self.publish(return_data=True)
>>>>             data['text/html'] += '\n<p><h2>Good job!</h2></p>\n'
>>>>         else:
>>>>             self.sequence = self.generate()
>>>>             data = self.publish(return_data=True)
>>>>             data['text/html'] += '\n<p><h2>Try Again!</h2></p>\n'
>>>>
>>>>
>>>> NormalMean(10, 3, 6, 'mean_10_sd_3_n_6').publish()
>>>>
>>>>
>>>> I expect to see a latex rendering of the question with a textbox below
>>>> it but I am only getting a text box.
>>>>
>>>> By the way, if I want to see these things in order, I suppose it is
>>>> best to use several calls to publish_display_data? Is that right, if so the
>>>> outputs are in the order I want them to be rather than
>>>> the order of the dict keys (which I cannot control).
>>>>
>>>
>>> Right - one call to "publish_display_data" should always result in
>>> exactly one thing being displayed.  The idea being "I have a thing I want
>>> to display, and I can display in all these different ways". It is up to the
>>> frontends to pick their favorite (HTML in the notebook).  If you want to
>>> display multiple things, then you should use multiple calls.
>>>
>>> -MinRK
>>>
>>>
>>>>
>>>> Thanks,
>>>>
>>>> Jonathan
>>>>
>>>>
>>>> --
>>>> Jonathan Taylor
>>>> Dept. of Statistics
>>>> Sequoia Hall, 137
>>>> 390 Serra Mall
>>>> Stanford, CA 94305
>>>> Tel:   650.723.9230
>>>> Fax:   650.725.8977
>>>> Web: http://www-stat.stanford.edu/~jtaylo
>>>>
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>>>>
>>>>
>>>
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>>>
>>
>>
>> --
>> Jonathan Taylor
>> Dept. of Statistics
>> Sequoia Hall, 137
>> 390 Serra Mall
>> Stanford, CA 94305
>> Tel:   650.723.9230
>> Fax:   650.725.8977
>> Web: http://www-stat.stanford.edu/~jtaylo
>>
>> _______________________________________________
>> IPython-dev mailing list
>> IPython-dev at scipy.org
>> http://mail.scipy.org/mailman/listinfo/ipython-dev
>>
>>
>
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>
>


-- 
Jonathan Taylor
Dept. of Statistics
Sequoia Hall, 137
390 Serra Mall
Stanford, CA 94305
Tel:   650.723.9230
Fax:   650.725.8977
Web: http://www-stat.stanford.edu/~jtaylo
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