本文整理汇总了Python中neurokernel.pattern.Pattern类的典型用法代码示例。如果您正苦于以下问题：Python Pattern类的具体用法？Python Pattern怎么用？Python Pattern使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了Pattern类的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: test_dest_idx_dest_type
def test_dest_idx_dest_type(self):
p = Pattern('/[aaa,bbb][0:3]', '/[xxx,yyy][0:3]')
p['/aaa[0]', '/yyy[0]'] = 1
p['/aaa[0]', '/yyy[1]'] = 1
p['/aaa[0]', '/yyy[2]'] = 1
p['/xxx[0]', '/bbb[0]'] = 1
p['/xxx[1]', '/bbb[1]'] = 1
p['/xxx[2]', '/bbb[2]'] = 1
p.interface['/aaa[0:3]', 'type'] = 'spike'
p.interface['/yyy[0:3]', 'type'] = 'spike'
self.assertItemsEqual(p.dest_idx(0, 1, dest_type='spike'),
[('yyy', 0),
('yyy', 1),
('yyy', 2)])
self.assertItemsEqual(p.dest_idx(0, 1, dest_type='gpot'), [])
q = Pattern('/[aaa,bbb,ccc]', '/[www,xxx,yyy,zzz]')
q['/aaa','/www'] = 1
q['/aaa','/xxx'] = 1
q['/yyy','/bbb'] = 1
q['/zzz','/ccc'] = 1
q.interface['/aaa'] = [0, 'in', 'spike']
q.interface['/[www,xxx]'] = [1, 'out', 'spike']
self.assertItemsEqual(q.dest_idx(0, 1, dest_type='spike'),
[('www',),
('xxx',)])
self.assertItemsEqual(q.dest_idx(0, 1, dest_type='gpot'), [])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:27，代码来源:test_pattern.py
示例2: test_clear
def test_clear(self):
p = Pattern('/aaa[0:3]', '/bbb[0:3]')
p['/aaa[0]', '/bbb[0]'] = 1
p['/aaa[1]', '/bbb[1]'] = 1
p['/aaa[2]', '/bbb[2]'] = 1
p.clear()
assert len(p) == 0
assert len(p.interface) == 0
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:8，代码来源:test_pattern.py
示例3: create_pattern
def create_pattern(lpu1, lpu2):
lpu1_sel = ','.join(['/'+'/'.join([str(i) for i in sel]) for sel in lpu1.interface.index.tolist()])
lpu2_sel = ','.join(['/'+'/'.join([str(i) for i in sel]) for sel in lpu2.interface.index.tolist()])
pat = Pattern(lpu1_sel, lpu2_sel)
lpu1_sel_in_gpot = str(','.join( lpu1.interface.in_ports().gpot_ports().to_selectors() ))
lpu1_sel_out_gpot = str(','.join( lpu1.interface.out_ports().gpot_ports().to_selectors() ))
lpu2_sel_in_gpot = str(','.join( lpu2.interface.in_ports().gpot_ports().to_selectors() ))
lpu2_sel_out_gpot = str(','.join( lpu2.interface.out_ports().gpot_ports().to_selectors() ))
lpu1_sel_in_spike = str(','.join( lpu1.interface.in_ports().spike_ports().to_selectors() ))
lpu1_sel_out_spike = str(','.join( lpu1.interface.out_ports().spike_ports().to_selectors() ))
lpu2_sel_in_spike = str(','.join( lpu2.interface.in_ports().spike_ports().to_selectors() ))
lpu2_sel_out_spike = str(','.join( lpu2.interface.out_ports().spike_ports().to_selectors() ))
pat.interface[lpu1_sel_in_gpot, 'io', 'type'] = ['in', 'gpot']
pat.interface[lpu1_sel_out_gpot, 'io', 'type'] = ['out', 'gpot']
pat.interface[lpu2_sel_in_gpot, 'io', 'type'] = ['in', 'gpot']
pat.interface[lpu2_sel_out_gpot, 'io', 'type'] = ['out', 'gpot']
pat.interface[lpu1_sel_in_spike, 'io', 'type'] = ['in', 'spike']
pat.interface[lpu1_sel_out_spike, 'io', 'type'] = ['out', 'spike']
pat.interface[lpu2_sel_in_spike, 'io', 'type'] = ['in', 'spike']
pat.interface[lpu2_sel_out_spike, 'io', 'type'] = ['out', 'spike']
Neuron_list_12 = ['L1', 'L2', 'L3', 'L4', 'L5', 'T1']
Neuron_list_21 = ['C2', 'C3']
for i in range(768):
for neuron in Neuron_list_12:
pat['/lamina/cart'+str(i)+'/'+neuron, '/medulla/cart'+str(i)+'/'+neuron] = 1
for neuron in Neuron_list_21:
pat['/medulla/cart'+str(i)+'/'+neuron, '/lamina/cart'+str(i)+'/'+neuron] = 1
with open('lam_med_pattern', 'wb') as pat_file:
pickle.dump(pat, pat_file)
return pat
开发者ID:MariyaS，项目名称:neurokernel，代码行数:35，代码来源:vision_configuration.py
示例4: test_connected_port_pairs
def test_connected_port_pairs(self):
p = Pattern('/aaa[0:3]', '/bbb[0:3]')
p['/aaa[0]', '/bbb[2]'] = 1
p['/aaa[1]', '/bbb[0]'] = 1
p['/aaa[2]', '/bbb[1]'] = 1
self.assertSequenceEqual(p.connected_port_pairs(),
[(('aaa', 0), ('bbb', 2)),
(('aaa', 1), ('bbb', 0)),
(('aaa', 2), ('bbb', 1))])
self.assertSequenceEqual(p.connected_port_pairs(True),
[('/aaa/0', '/bbb/2'),
('/aaa/1', '/bbb/0'),
('/aaa/2', '/bbb/1')])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:13，代码来源:test_pattern.py
示例5: test_from_concat
def test_from_concat(self):
# Need to specify selectors for both interfaces in pattern:
self.assertRaises(ValueError, Pattern.from_concat, '', '/[baz,qux]',
from_sel='', to_sel='/[baz,qux]', data=1)
# Patterns with interfaces using selectors with 1 level:
p = Pattern.from_concat('/[foo,bar]', '/[baz,qux]',
from_sel='/[foo,bar]', to_sel='/[baz,qux]',
data=1)
df = pd.DataFrame(data=[1, 1],
index=pd.MultiIndex(levels=[['bar', 'foo'], ['baz', 'qux']],
labels=[[1, 0], [0, 1]],
names=['from_0', 'to_0'], dtype=object),
columns=['conn'], dtype=object)
assert_frame_equal(p.data, df)
# Patterns with interfaces using selectors with more than 1 level:
p = Pattern.from_concat('/foo[0:2]', '/bar[0:2]',
from_sel='/foo[0:2]', to_sel='/bar[0:2]',
data=1)
df = pd.DataFrame(data=[1, 1],
index=pd.MultiIndex(levels=[['foo'], [0, 1], ['bar'], [0, 1]],
labels=[[0, 0], [0, 1], [0, 0], [0, 1]],
names=['from_0', 'from_1', 'to_0', 'to_1'],
dtype=object),
columns=['conn'], dtype=object)
assert_frame_equal(p.data, df)
# Patterns where port types are specified:
p = Pattern.from_concat('/foo[0:2]', '/bar[0:2]',
from_sel='/foo[0:2]', to_sel='/bar[0:2]',
gpot_sel='/foo[0],/bar[0]',
spike_sel='/foo[1:2],/bar/[1:2]',
data=1)
df_int = pd.DataFrame({'interface': [0, 0, 1, 1],
'io': ['in', 'in', 'out', 'out'],
'type': ['gpot', 'spike', 'gpot', 'spike']},
index=pd.MultiIndex(levels=[['bar', 'foo'], [0, 1]],
labels=[[1, 1, 0, 0], [0, 1, 0, 1]],
names=[u'0', u'1'],
dtype=object),
dtype=object)
df = pd.DataFrame(data=[1, 1],
index=pd.MultiIndex(levels=[['foo'], [0, 1], ['bar'], [0, 1]],
labels=[[0, 0], [0, 1], [0, 0], [0, 1]],
names=['from_0', 'from_1', 'to_0', 'to_1'],
dtype=object),
columns=['conn'],
dtype=object)
assert_frame_equal(p.data, df)
assert_frame_equal(p.interface.data, df_int)
开发者ID:CEPBEP，项目名称:neurokernel，代码行数:51，代码来源:test_pattern.py
示例6: test_create
def test_create(self):
p = Pattern('/foo[0:5]', '/bar[0:5]')
p['/foo[0]', '/bar[0]'] = 1
p['/foo[1]', '/bar[1]'] = 1
p['/foo[1]', '/bar[2]'] = 1
p['/bar[3]', '/foo[2]'] = 1
p['/bar[3]', '/foo[3]'] = 1
p['/bar[4]', '/foo[4]'] = 1
assert_frame_equal(p.data, self.df_p)
p.interface['/foo[0:2]', 'type'] = 'spike'
p.interface['/bar[0:2]', 'type'] = 'spike'
p.interface['/foo[2:5]', 'type'] = 'gpot'
p.interface['/bar[3:5]', 'type'] = 'gpot'
assert_frame_equal(p.interface.data, self.df_i)
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:14，代码来源:test_pattern.py
示例7: test_connected_ports
def test_connected_ports(self):
p = Pattern('/foo[0:3]', '/bar[0:3]')
p['/foo[0]', '/bar[0]'] = 1
p['/foo[1]', '/bar[1]'] = 1
self.assertItemsEqual(p.connected_ports(tuples=True),
[('bar', 0),
('bar', 1),
('foo', 0),
('foo', 1)])
self.assertItemsEqual(p.connected_ports(0, True),
[('foo', 0),
('foo', 1)])
self.assertItemsEqual(p.connected_ports(1, True),
[('bar', 0),
('bar', 1)])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:15，代码来源:test_pattern.py
示例8: test_from_graph
def test_from_graph(self):
p = Pattern('/foo[0:4]', '/bar[0:4]')
p['/foo[0]', '/bar[0]'] = 1
p['/foo[0]', '/bar[1]'] = 1
p['/foo[1]', '/bar[2]'] = 1
p['/bar[3]', '/foo[2]'] = 1
p['/bar[3]', '/foo[3]'] = 1
g = nx.DiGraph()
g.add_node('/bar[0]', interface=1, io='out')
g.add_node('/bar[1]', interface=1, io='out')
g.add_node('/bar[2]', interface=1, io='out')
g.add_node('/bar[3]', interface=1, io='in')
g.add_node('/foo[0]', interface=0, io='in')
g.add_node('/foo[1]', interface=0, io='in')
g.add_node('/foo[2]', interface=0, io='out')
g.add_node('/foo[3]', interface=0, io='out')
g.add_edge('/foo[0]', '/bar[0]')
g.add_edge('/foo[0]', '/bar[1]')
g.add_edge('/foo[1]', '/bar[2]')
g.add_edge('/bar[3]', '/foo[2]')
g.add_edge('/bar[3]', '/foo[3]')
pg = Pattern.from_graph(g)
assert_frame_equal(pg.data.sort(), p.data.sort())
assert_frame_equal(pg.interface.data.sort(), p.interface.data.sort())
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:26，代码来源:test_pattern.py
示例9: update_pattern_master_worker
def update_pattern_master_worker(self, j, worker_num):
indexes = self.get_worker_nodes(j, worker_num)
master_selectors = self.get_master_selectors()
worker_selectors = self.get_worker_selectors(j, worker_num)
from_list = []
to_list = []
for i, ind in enumerate(indexes):
col_m = ind // 6
ind_m = 1 + (ind % 6)
src = '/master/{}/buf{}'.format(col_m, ind_m)
dest = '/ret/{}/in{}'.format(col_m, ind_m)
from_list.append(src)
to_list.append(dest)
src = '/ret/{}/R{}'.format(col_m, ind_m)
dest = '/master/{}/R{}'.format(col_m, ind_m)
from_list.append(src)
to_list.append(dest)
pattern = Pattern.from_concat(','.join(master_selectors),
','.join(worker_selectors),
from_sel = ','.join(from_list),
to_sel = ','.join(to_list),
gpot_sel = ','.join(from_list+to_list))
return pattern
开发者ID:neurokernel，项目名称:retina，代码行数:29，代码来源:retina.py
示例10: test_src_idx_dest_ports
def test_src_idx_dest_ports(self):
p = Pattern('/[aaa,bbb][0:3]', '/[xxx,yyy][0:3]')
p['/aaa[0]', '/yyy[0]'] = 1
p['/aaa[0]', '/yyy[1]'] = 1
p['/aaa[0]', '/yyy[2]'] = 1
p['/xxx[0]', '/bbb[0]'] = 1
p['/xxx[1]', '/bbb[1]'] = 1
p['/xxx[2]', '/bbb[2]'] = 1
self.assertItemsEqual(p.src_idx(0, 1, dest_ports='/yyy[0]'),
[('aaa', 0)])
q = Pattern('/[aaa,bbb]', '/[www,xxx,yyy]')
q['/aaa','/www'] = 1
q['/aaa','/xxx'] = 1
q['/bbb','/yyy'] = 1
self.assertItemsEqual(q.src_idx(0, 1, dest_ports='/[www,xxx]'),
[('aaa',)])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:17，代码来源:test_pattern.py
示例11: test_split_multiindex
def test_split_multiindex(self):
idx = pd.MultiIndex(levels=[['a'], ['b', 'c'], ['d', 'e'], [0, 1, 2]],
labels=[[0, 0, 0, 0], [0, 0, 1, 1], [0, 1, 0, 1], [0, 1, 1, 2]])
idx0, idx1 = Pattern.split_multiindex(idx, slice(0, 2), slice(2, 4))
assert_index_equal(idx0,
pd.MultiIndex(levels=[['a'], ['b', 'c']],
labels=[[0, 0, 0, 0], [0, 0, 1, 1]]))
assert_index_equal(idx1,
pd.MultiIndex(levels=[['d', 'e'], [0, 1, 2]],
labels=[[0, 1, 0, 1], [0, 1, 1, 2]]))
idx0, idx1 = Pattern.split_multiindex(idx, slice(0, 1), slice(1, 4))
assert_index_equal(idx0,
pd.Index(['a', 'a', 'a', 'a']))
assert_index_equal(idx1,
pd.MultiIndex(levels=[['b', 'c'], ['d', 'e'], [0, 1, 2]],
labels=[[0, 0, 1, 1], [0, 1, 0, 1],
[0, 1, 1, 2]]))
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:18，代码来源:test_pattern.py
示例12: test_dest_idx_src_ports
def test_dest_idx_src_ports(self):
p = Pattern('/[aaa,bbb][0:3]', '/[xxx,yyy][0:3]')
p['/aaa[0]', '/yyy[0]'] = 1
p['/aaa[0]', '/yyy[1]'] = 1
p['/aaa[0]', '/yyy[2]'] = 1
p['/xxx[0]', '/bbb[0]'] = 1
p['/xxx[1]', '/bbb[1]'] = 1
p['/xxx[2]', '/bbb[2]'] = 1
self.assertItemsEqual(p.dest_idx(0, 1, src_ports='/aaa[0]'),
[('yyy', 0),
('yyy', 1),
('yyy', 2)])
q = Pattern('/[aaa,bbb]', '/[www,xxx,yyy]')
q['/aaa','/www'] = 1
q['/aaa','/xxx'] = 1
q['/bbb','/yyy'] = 1
self.assertItemsEqual(q.dest_idx(0, 1, src_ports='/aaa'),
[('www',),
('xxx',)])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:20，代码来源:test_pattern.py
示例13: create_pattern
def create_pattern(n_dict_1, n_dict_2, save_as=None):
"""
If `save_as` is not None, save the pattern as the specified file name.
"""
lpu1_sel_in_gpot = plsel.Selector(LPU.extract_in_gpot(n_dict_1))
lpu1_sel_out_gpot = plsel.Selector(LPU.extract_out_gpot(n_dict_1))
lpu2_sel_in_gpot = plsel.Selector(LPU.extract_in_gpot(n_dict_2))
lpu2_sel_out_gpot = plsel.Selector(LPU.extract_out_gpot(n_dict_2))
lpu1_sel_in_spike = plsel.Selector(LPU.extract_in_spk(n_dict_1))
lpu1_sel_out_spike = plsel.Selector(LPU.extract_out_spk(n_dict_1))
lpu2_sel_in_spike = plsel.Selector(LPU.extract_in_spk(n_dict_2))
lpu2_sel_out_spike = plsel.Selector(LPU.extract_out_spk(n_dict_2))
lpu1_sel_out = plsel.Selector.union(lpu1_sel_out_gpot, lpu1_sel_out_spike)
lpu2_sel_out = plsel.Selector.union(lpu2_sel_out_gpot, lpu2_sel_out_spike)
lpu1_sel_in = plsel.Selector.union(lpu1_sel_in_gpot, lpu1_sel_in_spike)
lpu2_sel_in = plsel.Selector.union(lpu2_sel_in_gpot, lpu2_sel_in_spike)
lpu1_sel = plsel.Selector.union(lpu1_sel_out, lpu1_sel_in)
lpu2_sel = plsel.Selector.union(lpu2_sel_out, lpu2_sel_in)
pat = Pattern(lpu1_sel, lpu2_sel)
pat.interface[lpu1_sel_in_gpot, 'io', 'type'] = ['in', 'gpot']
pat.interface[lpu1_sel_out_gpot, 'io', 'type'] = ['out', 'gpot']
pat.interface[lpu2_sel_in_gpot, 'io', 'type'] = ['in', 'gpot']
pat.interface[lpu2_sel_out_gpot, 'io', 'type'] = ['out', 'gpot']
pat.interface[lpu1_sel_in_spike, 'io', 'type'] = ['in', 'spike']
pat.interface[lpu1_sel_out_spike, 'io', 'type'] = ['out', 'spike']
pat.interface[lpu2_sel_in_spike, 'io', 'type'] = ['in', 'spike']
pat.interface[lpu2_sel_out_spike, 'io', 'type'] = ['out', 'spike']
Neuron_list_12 = ['L1', 'L2', 'L3', 'L4', 'L5', 'T1']
Neuron_list_21 = ['C2', 'C3']
for i in range(768):
for neuron in Neuron_list_12:
pat['/lamina/cart'+str(i)+'/'+neuron, '/medulla/cart'+str(i)+'/'+neuron] = 1
for neuron in Neuron_list_21:
pat['/medulla/cart'+str(i)+'/'+neuron, '/lamina/cart'+str(i)+'/'+neuron] = 1
if save_as:
with open(save_as, 'wb') as pat_file:
pickle.dump(pat, pat_file)
return pat
开发者ID:neurokernel，项目名称:sensory_int，代码行数:46，代码来源:vision_configuration.py
示例14: test_is_in_interfaces
def test_is_in_interfaces(self):
# Selectors with multiple levels:
p = Pattern('/aaa/bbb', '/ccc/ddd')
assert p.is_in_interfaces('/aaa/bbb') == True
assert p.is_in_interfaces('/aaa') == False
# Selectors with a single level:
p = Pattern('/aaa', '/bbb')
assert p.is_in_interfaces('/aaa') == True
assert p.is_in_interfaces('/ccc') == False
# Selectors comprising identifiers with different numbers of levels::
p = Pattern('/aaa,/bbb[0]', '/ccc,/ddd[0]')
assert p.is_in_interfaces('/aaa') == True
assert p.is_in_interfaces('/ccc') == True
assert p.is_in_interfaces('/ddd') == False
assert p.is_in_interfaces('/ddd[0]') == True
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:17，代码来源:test_pattern.py
示例15: test_from_concat
def test_from_concat(self):
p = Pattern.from_concat('/[foo,bar]', '/[baz,qux]',
from_sel='/[foo,bar]', to_sel='/[baz,qux]',
data=1)
df = pd.DataFrame(data=[1, 1],
index=pd.MultiIndex(levels=[['bar', 'foo'], ['baz', 'qux']],
labels=[[1, 0], [0, 1]],
names=['from_0', 'to_0'], dtype=object),
columns=['conn'])
assert_frame_equal(p.data, df)
p = Pattern.from_concat('/foo[0:2]', '/bar[0:2]',
from_sel='/foo[0:2]', to_sel='/bar[0:2]',
data=1)
df = pd.DataFrame(data=[1, 1],
index=pd.MultiIndex(levels=[['foo'], [0, 1], ['bar'], [0, 1]],
labels=[[0, 0], [0, 1], [0, 0], [0, 1]],
names=['from_0', 'from_1', 'to_0', 'to_1'],
dtype=object),
columns=['conn'])
assert_frame_equal(p.data, df)
开发者ID:MariyaS，项目名称:neurokernel，代码行数:21，代码来源:test_pattern.py
示例16: test_in_ports
def test_in_ports(self):
p = Pattern('/foo[0:3]', '/bar[0:3]')
p.interface['/foo[0]', 'io', 'type'] = ['in', 'spike']
p.interface['/foo[1:3]', 'io', 'type'] = ['out', 'gpot']
p.interface['/bar[0:2]', 'io', 'type'] = ['out', 'spike']
p.interface['/bar[2]', 'io', 'type'] = ['in', 'gpot']
self.assertItemsEqual(p.in_ports(0).to_tuples(),
[('foo', 0)])
self.assertItemsEqual(p.in_ports(1).to_tuples(),
[('bar', 2)])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:10，代码来源:test_pattern.py
示例17: test_to_graph
def test_to_graph(self):
p = Pattern('/foo[0:4]', '/bar[0:4]')
p['/foo[0]', '/bar[0]'] = 1
p['/foo[0]', '/bar[1]'] = 1
p['/foo[1]', '/bar[2]'] = 1
p['/bar[3]', '/foo[2]'] = 1
p['/bar[3]', '/foo[3]'] = 1
g = p.to_graph()
self.assertItemsEqual(g.nodes(data=True),
[('/bar/0', {'interface': 1, 'io': 'out', 'type': ''}),
('/bar/1', {'interface': 1, 'io': 'out', 'type': ''}),
('/bar/2', {'interface': 1, 'io': 'out', 'type': ''}),
('/bar/3', {'interface': 1, 'io': 'in', 'type': ''}),
('/foo/0', {'interface': 0, 'io': 'in', 'type': ''}),
('/foo/1', {'interface': 0, 'io': 'in', 'type': ''}),
('/foo/2', {'interface': 0, 'io': 'out', 'type': ''}),
('/foo/3', {'interface': 0, 'io': 'out', 'type': ''})])
self.assertItemsEqual(g.edges(data=True),
[('/foo/0', '/bar/0', {}),
('/foo/0', '/bar/1', {}),
('/foo/1', '/bar/2', {}),
('/bar/3', '/foo/2', {}),
('/bar/3', '/foo/3', {})])
开发者ID:Taaccoo-beta，项目名称:neurokernel，代码行数:24，代码来源:test_pattern.py
示例18: connect_retina_lamina
def connect_retina_lamina(self, manager, ret_lpu, lam_lpu):
#.values or .tolist()
print('Initializing selectors')
# some workarounds
ret_sel = ','.join(['/retout/'+ str(sel[-1]) for sel in ret_lpu.interface.index.tolist()])
lam_sel = ','.join(['/' + str(sel[0]) + '/' + str(sel[1]) for sel in lam_lpu.interface.index.tolist()])
print('Initializing pattern with selectors')
pat = Pattern(ret_sel, lam_sel)
ret_sel = ','.join(['/retout/'+ str(sel[-1]) for sel in ret_lpu.interface.index.tolist()])
lam_sel_in = ','.join(['/retin/' + str(sel[-1]) for sel in lam_lpu.interface.index.tolist() if sel[0] == 'retin'])
lam_sel_out = ','.join(['/lamout/' + str(sel[-1]) for sel in lam_lpu.interface.index.tolist() if not sel[0] == 'retin'])
print('Setting selector attributes in pattern')
pat.interface[ret_sel] = [0, 'in', 'gpot']
pat.interface[lam_sel_in] = [1, 'out', 'gpot']
pat.interface[lam_sel_out] = [1, 'in', 'gpot']
for sel in lam_sel_in.split(','):
pat[sel.replace('in', 'out'), sel] = 1
print('Connecting LPUs with the pattern')
manager.connect(ret_lpu, lam_lpu, pat, 0, 1)
开发者ID:Hanyu-Li，项目名称:neurokernel，代码行数:24，代码来源:eyeimpl.py
示例19: connect_retina_lamina
def connect_retina_lamina(config, i, retina, lamina, manager):
'''
The connections between Retina and Lamina follow
the neural superposition rule of the fly's compound eye.
See more information in NeurokernelRFC#2.
Retina provides an interface to make this connection easier.
--
config: configuration dictionary like object
i: identifier of eye in case more than one is used
retina: retina array object
lamina: lamina array object
manager: manager object to which connection pattern will be added
'''
retina_id = get_retina_id(i)
lamina_id = get_lamina_id(i)
print('Connecting {} and {}'.format(retina_id, lamina_id))
retina_selectors = retina.get_all_selectors()
lamina_selectors = lamina.get_all_selectors()
with Timer('creation of Pattern object'):
from_list = []
to_list = []
# accounts neural superposition
rulemap = retina.rulemap
for ret_sel in retina_selectors:
# format should be '/ret/<ommid>/<neuronname>'
_, lpu, ommid, n_name = ret_sel.split('/')
# find neighbor of neural superposition
neighborid = rulemap.neighbor_for_photor(int(ommid), n_name)
# format should be '/lam/<cartid>/<neuronname>'
lam_sel = lamina.get_selector(neighborid, n_name)
# setup connection from retina to lamina
from_list.append(ret_sel)
to_list.append(lam_sel)
pattern = Pattern.from_concat(','.join(retina_selectors),
','.join(lamina_selectors),
from_sel=','.join(from_list),
to_sel=','.join(to_list),
gpot_sel=','.join(from_list+to_list))
nx.write_gexf(pattern.to_graph(), retina_id+'_'+lamina_id+'.gexf.gz',
prettyprint=True)
with Timer('update of connections in Manager'):
manager.connect(retina_id, lamina_id, pattern)
开发者ID:neurokernel，项目名称:retina-lamina，代码行数:48，代码来源:retlam_demo.py
示例20: create_pattern
def create_pattern(n_dict_1, n_dict_2, save_as=None):
"""
If `save_as` is not None, save the pattern in GEXF format as the specified file name.
"""
lpu1_sel_in_gpot = plsel.Selector(LPU.extract_in_gpot(n_dict_1))
lpu1_sel_out_gpot = plsel.Selector(LPU.extract_out_gpot(n_dict_1))
lpu2_sel_in_gpot = plsel.Selector(LPU.extract_in_gpot(n_dict_2))
lpu2_sel_out_gpot = plsel.Selector(LPU.extract_out_gpot(n_dict_2))
lpu1_sel_in_spike = plsel.Selector(LPU.extract_in_spk(n_dict_1))
lpu1_sel_out_spike = plsel.Selector(LPU.extract_out_spk(n_dict_1))
lpu2_sel_in_spike = plsel.Selector(LPU.extract_in_spk(n_dict_2))
lpu2_sel_out_spike = plsel.Selector(LPU.extract_out_spk(n_dict_2))
lpu1_sel_out = plsel.Selector.union(lpu1_sel_out_gpot, lpu1_sel_out_spike)
lpu2_sel_out = plsel.Selector.union(lpu2_sel_out_gpot, lpu2_sel_out_spike)
lpu1_sel_in = plsel.Selector.union(lpu1_sel_in_gpot, lpu1_sel_in_spike)
lpu2_sel_in = plsel.Selector.union(lpu2_sel_in_gpot, lpu2_sel_in_spike)
lpu1_sel = plsel.Selector.union(lpu1_sel_out, lpu1_sel_in)
lpu2_sel = plsel.Selector.union(lpu2_sel_out, lpu2_sel_in)
Neuron_list_12 = ["L1", "L2", "L3", "L4", "L5", "T1"]
Neuron_list_21 = ["C2", "C3"]
gpot_sel = plsel.Selector.union(lpu1_sel_out_gpot, lpu1_sel_in_gpot, lpu2_sel_out_gpot, lpu2_sel_in_gpot)
spike_sel = plsel.Selector.union(lpu1_sel_out_spike, lpu1_sel_in_spike, lpu2_sel_out_spike, lpu2_sel_in_spike)
Neuron_str_12 = "[" + ",".join(Neuron_list_12) + "]"
Neuron_str_21 = "[" + ",".join(Neuron_list_21) + "]"
cart_str = "[" + ",".join(["cart%i" % i for i in range(768)]) + "]"
from_sel_12 = "/lamina" + cart_str + Neuron_str_12
to_sel_12 = "/medulla" + cart_str + Neuron_str_12
from_sel_21 = "/medulla" + cart_str + Neuron_str_21
to_sel_21 = "/lamina" + cart_str + Neuron_str_21
from_sel = from_sel_12 + "," + from_sel_21
to_sel = to_sel_12 + "," + to_sel_21
pat = Pattern.from_concat(
lpu1_sel, lpu2_sel, from_sel=from_sel, to_sel=to_sel, gpot_sel=gpot_sel, spike_sel=spike_sel, data=1
)
if save_as:
nx.write_gexf(pat.to_graph(), save_as, prettyprint=True)
return pat
开发者ID:neurokernel，项目名称:vision，代码行数:48，代码来源:vision_configuration.py
注：本文中的neurokernel.pattern.Pattern类示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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