def _register_item(self, item, name):
"adds item to experiment and returns unique id"
# check name
test = name.format(i=0, c='x', p='x')
test_attr_name(test)
# format name
if '{c}' in name:
name = name.format(i='{i}', c=item.__class__.__name__)
if '{i}' in name:
i = 0
while hasattr(self, name.format(i=i)):
i += 1
name = name.format(i=i)
else:
if hasattr(self, name):
raise ValueError("Experiment already has attribute named %r"
% name)
setattr(self, name, item)
# get ID
ID = max(set([-1]).union(self._itemIDs)) + 1
self._itemIDs.add(ID)
self._item_names[ID] = name
return ID, name
def rename_item(self, item, name):
"rename an ExperimentItem"
if hasattr(self, name):
raise ValueError("Experiment already has an attribute named %r" % name)
else:
test_attr_name(name)
delattr(self, item.name)
setattr(self, name, item)
setattr(item, 'name', name)
def __setitem__(self, chan, value):
chan = self._key_from_index(chan)
# fill tuple
if isinstance(value, basestring):
value = (value, 'uts')
while len(value) < 4:
value = value + (None,)
# check properties
name, conversion, arg1, arg2 = value
test_attr_name(name)
assert conversion in ['uts', 'evt', 'topo']
if conversion == 'evt':
if arg1 is not None:
assert np.isscalar(arg1)
if arg2 is not None:
assert np.iterable(arg2)
elif conversion =='topo':
assert isinstance(chan, tuple)
if arg1 is not None:
n_s = arg1.n
start, stop = chan
if start == None:
start = 0
if stop == None:
stop = self._n
n_chan = stop - start
if n_chan != n_s:
raise ValueError("Number of Channels mismatch between "
"Channel selection (%i) and sensor Net "
"(%i)" % (n_chan, n_s))
# set new value
self._value[chan] = value
self._changed()
