Update documentation

_sources/moddoc_core.rst.txt

@@ -2238,7 +2238,7 @@ Collection of timestreams indexed by logical detector ID
 
 	``G3TimestreamMap( (G3TimestreamMap)arg2)``
 
-	``G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start=<spt3g.core.G3Time object at 0x7ff4a92a9510> [, (G3Time)stop=<spt3g.core.G3Time object at 0x7ff4a92a9580> [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]])`` :
+	``G3TimestreamMap( (StringVector)keys, (object)data [, (G3Time)start=<spt3g.core.G3Time object at 0x7f38367c3510> [, (G3Time)stop=<spt3g.core.G3Time object at 0x7f38367c3580> [, (G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None [, (int)compression_level=0 [, (bool)copy_data=True]]]]])`` :
 	    Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of <keys>. If <copy_data> is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array.
 
 	``G3TimestreamMap( (list)arg2)`` :

_sources/moddoc_dfmux.rst.txt

@@ -878,13 +878,14 @@ data at fixed intervals.
 
 Also emits a Wiring frame from the housekeeping data.  This requires a
 recent (as of November 2018) version of pydfmux in order to read mapped
-channel names from each board.
+channel names from each board.  If ignore_wiring=False, assumes that
+the wiring map is handled by a separate process.
 
 If collecting real-time data, you may want to set subprocess=True when
 adding this module.
 
 *Constructor:*
-	``HousekeepingConsumer(self)``
+	``HousekeepingConsumer(self, ignore_wiring=False)``
 
 
 

moddoc_core.html

@@ -1547,7 +1547,7 @@ <h2>Frame Objects in spt3g.core<a class="headerlink" href="#frame-objects-in-spt
 <dt><em>Constructors:</em></dt><dd><p><code class="docutils literal notranslate"><span class="pre">G3TimestreamMap()</span></code></p>
 <p><code class="docutils literal notranslate"><span class="pre">G3TimestreamMap(</span> <span class="pre">(G3TimestreamMap)arg2)</span></code></p>
 <dl class="simple">
-<dt><code class="docutils literal notranslate"><span class="pre">G3TimestreamMap(</span> <span class="pre">(StringVector)keys,</span> <span class="pre">(object)data</span> <span class="pre">[,</span> <span class="pre">(G3Time)start=&lt;spt3g.core.G3Time</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7ff4a92a9510&gt;</span> <span class="pre">[,</span> <span class="pre">(G3Time)stop=&lt;spt3g.core.G3Time</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7ff4a92a9580&gt;</span> <span class="pre">[,</span> <span class="pre">(G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None</span> <span class="pre">[,</span> <span class="pre">(int)compression_level=0</span> <span class="pre">[,</span> <span class="pre">(bool)copy_data=True]]]]])</span></code> :</dt><dd><p>Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of &lt;keys&gt;. If &lt;copy_data&gt; is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array.</p>
+<dt><code class="docutils literal notranslate"><span class="pre">G3TimestreamMap(</span> <span class="pre">(StringVector)keys,</span> <span class="pre">(object)data</span> <span class="pre">[,</span> <span class="pre">(G3Time)start=&lt;spt3g.core.G3Time</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7f38367c3510&gt;</span> <span class="pre">[,</span> <span class="pre">(G3Time)stop=&lt;spt3g.core.G3Time</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7f38367c3580&gt;</span> <span class="pre">[,</span> <span class="pre">(G3TimestreamUnits)units=spt3g.core.G3TimestreamUnits.None</span> <span class="pre">[,</span> <span class="pre">(int)compression_level=0</span> <span class="pre">[,</span> <span class="pre">(bool)copy_data=True]]]]])</span></code> :</dt><dd><p>Create a timestream map from a numpy array or other numeric python iterable. Each row of the 2D input array will correspond to a single timestream, with the key set to the correspondingly-indexed entry of &lt;keys&gt;. If &lt;copy_data&gt; is True (default), the data will be copied into the output data structure. If False, the timestream map will provide a view into the given numpy array.</p>
 </dd>
 <dt><code class="docutils literal notranslate"><span class="pre">G3TimestreamMap(</span> <span class="pre">(list)arg2)</span></code> :</dt><dd><p>Initialize with keys and values from a Python dictionary: {‘key’:’value’}</p>
 </dd>

moddoc_dfmux.html

@@ -599,11 +599,12 @@ <h2>Modules in spt3g.dfmux<a class="headerlink" href="#modules-in-spt3g-dfmux" t
 data at fixed intervals.</p>
 <p>Also emits a Wiring frame from the housekeeping data.  This requires a
 recent (as of November 2018) version of pydfmux in order to read mapped
-channel names from each board.</p>
+channel names from each board.  If ignore_wiring=False, assumes that
+the wiring map is handled by a separate process.</p>
 <p>If collecting real-time data, you may want to set subprocess=True when
 adding this module.</p>
 <dl class="simple">
-<dt><em>Constructor:</em></dt><dd><p><code class="docutils literal notranslate"><span class="pre">HousekeepingConsumer(self)</span></code></p>
+<dt><em>Constructor:</em></dt><dd><p><code class="docutils literal notranslate"><span class="pre">HousekeepingConsumer(self,</span> <span class="pre">ignore_wiring=False)</span></code></p>
 </dd>
 </dl>
 <p id="spt3g-dfmux-housekeeping-periodichousekeepingcollector"><strong>spt3g.dfmux.Housekeeping.PeriodicHousekeepingCollector</strong></p>