Commenting on BossArray for list-like Yahoo search results

You are writing a comment about BossArray for list-like Yahoo search results, here is a quick summary:

I recently put together BossArray, which is a simple wrapper around the Yahoo BOSS search results (relying on the Yahoo BOSS Mashup Framework for the heavy lifting). It provides a dirt simple interface mimicking a normal Python list for most interaction.

You are responding to this comment written by Amaç Herdağdelen on November 15th 2008, 00:30.

Hi Will,

First of all thanks for the wrapper. It really made my life easier.

I think I may have found a small bug. When there are only two results and I want to access all of them the 64th line executes (there is one cached and one uncached result):

downloaded = [(index,self._download(index,1),)]

As far as I can see, _download itself returns a list. So in the end you get something like [(1, [here there is a single result])]. But it looks like you expect to get something like [(1, aSingleResult)]. To correct the issue, I modified the same line as follows:

downloaded = [(index,self._download(index,1)[0],)]

Now it seems to be working ok but I'm not sure if I broke something else or not. I'd really appreciate if you can confirm this.

Secondly, I have a question/suggestion: I want to group the result elements in sets. Whenever I index a particular result all of its set will be downloaded and cached. I.e: sets will be 0:50, 50:100, 100:150, ... Whenever I access a result like x[143] it should automatically download x[100:150] because 143 in in the range 100:150. That functionality would allow me to write a simple loop like:

from boss_array import BossArray
x = BossArray("Python")
["%s\n" % (r[abstract]) for r in x]

You may consider this as either a suggestion, or a question of where to start implementing it for myself.

Thanks again!

Amaç

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You are writing a comment about BossArray for list-like Yahoo search results, here is a quick summary:

You are responding to this comment written by Amaç Herdağdelen on November 15th 2008, 00:30.

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