Popular Python recipes tagged "yaml"http://code.activestate.com/recipes/langs/python/tags/yaml/2012-06-20T08:09:13-07:00ActiveState Code RecipesSharing-aware tree transformations (Python)
2012-05-07T08:20:58-07:00Sander Evershttp://code.activestate.com/recipes/users/4173111/http://code.activestate.com/recipes/578117-sharing-aware-tree-transformations/
<p style="color: grey">
Python
recipe 578117
by <a href="/recipes/users/4173111/">Sander Evers</a>
(<a href="/recipes/tags/fold/">fold</a>, <a href="/recipes/tags/reduce/">reduce</a>, <a href="/recipes/tags/sharing/">sharing</a>, <a href="/recipes/tags/tree/">tree</a>, <a href="/recipes/tags/yaml/">yaml</a>).
Revision 2.
</p>
<p>The function <code>foldsh</code> in this recipe is a general purpose tool for transforming tree-like recursive data structures while keeping track of shared subtrees.</p>
<pre class="prettyprint"><code># By default, a branch is encoded as a list of subtrees; each subtree can be a
# branch or a leaf (=anything non-iterable). Subtrees can be shared:
>>> subtree = [42,44]
>>> tree = [subtree,[subtree]]
# We can apply a function to all leaves:
>>> foldsh(tree, leaf= lambda x: x+1)
[[43, 45], [[43, 45]]]
# Or apply a function to the branches:
>>> foldsh(tree, branch= lambda t,c: list(reversed(c)))
[[[44, 42]], [44, 42]]
# The sharing is preserved:
>>> _[0][0] is _[1]
True
# Summing up the leaves without double counting of shared subtrees:
>>> foldsh(tree, branch= lambda t,c: sum(c), shared= lambda x: 0)
86
</code></pre>
<p>In particular, it is useful for transforming YAML documents. An example of this is given below.</p>
Cycle-aware tree transformations (Python)
2012-06-20T08:09:13-07:00Sander Evershttp://code.activestate.com/recipes/users/4173111/http://code.activestate.com/recipes/578118-cycle-aware-tree-transformations/
<p style="color: grey">
Python
recipe 578118
by <a href="/recipes/users/4173111/">Sander Evers</a>
(<a href="/recipes/tags/cyclic/">cyclic</a>, <a href="/recipes/tags/fold/">fold</a>, <a href="/recipes/tags/reduce/">reduce</a>, <a href="/recipes/tags/yaml/">yaml</a>).
</p>
<p>A variation on <a href="http://code.activestate.com/recipes/578117/">Recipe 578117</a> that can deal with cycles. A cycle means that a tree has itself as a subtree somewhere. A fold over such a data structure has a chicken-and-egg-problem: it needs its own result in order to construct its own result. To solve this problem, we let <code>branch</code> construct a <em>part</em> of its result before going into recursion. After the recursion, <code>branch</code> gets a chance to complete its result using its children's results. Python's support for coroutines (using <code>yield</code>) provides a nice way to define such a two-stage <code>branch</code> function.</p>
Twitter incremental backup in YAML format - by HTML get and parse (Python)
2011-09-24T18:09:00-07:00Robert Lujohttp://code.activestate.com/recipes/users/4044016/http://code.activestate.com/recipes/577877-twitter-incremental-backup-in-yaml-format-by-html-/
<p style="color: grey">
Python
recipe 577877
by <a href="/recipes/users/4044016/">Robert Lujo</a>
(<a href="/recipes/tags/backup/">backup</a>, <a href="/recipes/tags/twitter/">twitter</a>, <a href="/recipes/tags/yaml/">yaml</a>).
</p>
<p>Yet another script for backing up Twitter posts (statuses). More information can be found <a href="http://robert-lujo.com/post/10603896621/twitter-backup">here</a>.</p>
<p>The script is based on <a href="http://code.activestate.com/recipes/576594/" rel="nofollow">http://code.activestate.com/recipes/576594/</a>,
<a href="http://movingtofreedom.org/2009/03/18/python-script-for-backing-up-twitter-statuses/." rel="nofollow">http://movingtofreedom.org/2009/03/18/python-script-for-backing-up-twitter-statuses/.</a></p>
YAML include support (Python)
2011-03-17T22:18:30-07:00Michael Grünewaldhttp://code.activestate.com/recipes/users/4172244/http://code.activestate.com/recipes/577613-yaml-include-support/
<p style="color: grey">
Python
recipe 577613
by <a href="/recipes/users/4172244/">Michael Grünewald</a>
(<a href="/recipes/tags/yaml/">yaml</a>).
</p>
<p>This recipe shows how one can add <em>include</em> support to applications that use PyYAML.</p>