def before_run(self, run_namespace=None, level=0):
# execute code to initalize the spike queue
if self._initialise_queue_codeobj is None:
self._initialise_queue_codeobj = create_runner_codeobj(self,
'', # no code,
'synapses_initialise_queue',
name=self.name+'_initialise_queue',
check_units=False,
additional_variables=self.variables,
run_namespace=run_namespace,
level=level+1)
self._initialise_queue_codeobj()
CodeRunner.before_run(self, run_namespace, level=level+1)
# we insert rather than replace because CodeRunner puts a CodeObject in updaters already
if self._pushspikes_codeobj is None:
self._pushspikes_codeobj = create_runner_codeobj(self,
'', # no code
'synapses_push_spikes',
name=self.name+'_push_spikes',
check_units=False,
additional_variables=self.variables,
run_namespace=run_namespace,
level=level+1)
self._code_objects.insert(0, weakref.proxy(self._pushspikes_codeobj))
def before_run(self, run_namespace=None, level=0):
# execute code to initalize the spike queue
if self._initialise_queue_codeobj is None:
self._initialise_queue_codeobj = create_runner_codeobj(
self,
'', # no code,
'synapses_initialise_queue',
name=self.name + '_initialise_queue',
check_units=False,
additional_variables=self.variables,
run_namespace=run_namespace,
level=level + 1)
self._initialise_queue_codeobj()
CodeRunner.before_run(self, run_namespace, level=level + 1)
# we insert rather than replace because CodeRunner puts a CodeObject in updaters already
if self._pushspikes_codeobj is None:
self._pushspikes_codeobj = create_runner_codeobj(
self,
'', # no code
'synapses_push_spikes',
name=self.name + '_push_spikes',
check_units=False,
additional_variables=self.variables,
run_namespace=run_namespace,
level=level + 1)
self._code_objects.insert(0, weakref.proxy(self._pushspikes_codeobj))
def before_run(self, namespace):
# Some dummy code so that code generation takes care of the indexing
# and subexpressions
code = ['_to_record_%s = %s' % (v, v)
for v in self.record_variables]
code = '\n'.join(code)
for varname in self.record_variables:
var = self.source.variables[varname]
self.variables.add_auxiliary_variable('_to_record_' + varname,
unit=var.unit,
dtype=var.dtype,
scalar=var.scalar,
is_bool=var.is_bool)
recorded_variables = dict([(name,
self.variables['_recorded_'+name])
for name in self.record_variables])
recorded_names = ['_recorded_'+name for name in self.record_variables]
self.codeobj = create_runner_codeobj(self.source,
code,
'statemonitor',
name=self.name+'_codeobject*',
needed_variables=recorded_names,
additional_variables=self.variables,
additional_namespace=namespace,
template_kwds={'_recorded_variables':
recorded_variables},
check_units=False)
self._code_objects[:] = [weakref.proxy(self.codeobj)]
def __getitem__(self, item):
if isinstance(item, basestring):
variables = Variables(None)
variables.add_auxiliary_variable('_indices',
unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_cond',
unit=Unit(1),
dtype=np.bool)
abstract_code = '_cond = ' + item
check_code_units(abstract_code,
self.group,
additional_variables=variables,
level=1)
from brian2.devices.device import get_default_codeobject_class
codeobj = create_runner_codeobj(
self.group,
abstract_code,
'group_get_indices',
additional_variables=variables,
level=1,
codeobj_class=get_default_codeobject_class(
'codegen.string_expression_target'))
return codeobj()
else:
return self.indices(item)
def create_default_code_object(self, run_namespace):
self.update_abstract_code(run_namespace=run_namespace)
# If the CodeRunner has variables, add them
if hasattr(self, 'variables'):
additional_variables = self.variables
else:
additional_variables = None
if not self.generate_empty_code and len(self.abstract_code) == 0:
self.codeobj = None
else:
self.codeobj = create_runner_codeobj(group=self.group,
code=self.abstract_code,
user_code=self.user_code,
template_name=self.template,
name=f"{self.name}_codeobject*",
check_units=self.check_units,
additional_variables=additional_variables,
needed_variables=self.needed_variables,
run_namespace=run_namespace,
template_kwds=self.template_kwds,
override_conditional_write=self.override_conditional_write,
codeobj_class=self.codeobj_class
)
return self.codeobj
def before_run(self, run_namespace):
self.update_abstract_code(run_namespace=run_namespace)
# If the CodeRunner has variables, add them
if hasattr(self, 'variables'):
additional_variables = self.variables
else:
additional_variables = None
if not self.generate_empty_code and len(self.abstract_code) == 0:
self.codeobj = None
self.code_objects[:] = []
else:
self.codeobj = create_runner_codeobj(group=self.group,
code=self.abstract_code,
user_code=self.user_code,
template_name=self.template,
name=self.name+'_codeobject*',
check_units=self.check_units,
additional_variables=additional_variables,
needed_variables=self.needed_variables,
run_namespace=run_namespace,
template_kwds=self.template_kwds,
override_conditional_write=self.override_conditional_write,
codeobj_class=self.codeobj_class
)
self.code_objects[:] = [weakref.proxy(self.codeobj)]
def before_run(self, run_namespace):
self.update_abstract_code(run_namespace=run_namespace)
# If the CodeRunner has variables, add them
if hasattr(self, 'variables'):
additional_variables = self.variables
else:
additional_variables = None
if not self.generate_empty_code and len(self.abstract_code) == 0:
self.codeobj = None
self.code_objects[:] = []
else:
self.codeobj = create_runner_codeobj(
group=self.group,
code=self.abstract_code,
user_code=self.user_code,
template_name=self.template,
name=self.name + '_codeobject*',
check_units=self.check_units,
additional_variables=additional_variables,
needed_variables=self.needed_variables,
run_namespace=run_namespace,
template_kwds=self.template_kwds,
override_conditional_write=self.override_conditional_write,
codeobj_class=self.codeobj_class)
self.code_objects[:] = [weakref.proxy(self.codeobj)]
def get_with_expression(self, variable_name, variable, code,
level=0, run_namespace=None):
'''
Gets a variable using a string expression. Is called by
`VariableView.get_item` for statements such as
``print G.v['g_syn > 0']``.
Parameters
----------
variable_name : str
The name of the variable in its context (e.g. ``'g_post'`` for a
variable with name ``'g'``)
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set
code : str
An expression that states a condition for elements that should be
selected. Can contain references to indices, such as ``i`` or ``j``
and to state variables. For example: ``'i>3 and v>0*mV'``.
level : int, optional
How much farther to go up in the stack to find the implicit
namespace (if used, see `run_namespace`).
run_namespace : dict-like, optional
An additional namespace that is used for variable lookup (if not
defined, the implicit namespace of local variables is used).
'''
if variable.scalar:
raise IndexError(('Cannot access the variable %s with a '
'string expression, it is a scalar '
'variable.') % variable_name)
# Add the recorded variable under a known name to the variables
# dictionary. Important to deal correctly with
# the type of the variable in C++
variables = Variables(None)
variables.add_auxiliary_variable('_variable', unit=variable.unit,
dtype=variable.dtype,
scalar=variable.scalar)
variables.add_auxiliary_variable('_cond', unit=Unit(1), dtype=np.bool)
abstract_code = '_variable = ' + variable_name + '\n'
abstract_code += '_cond = ' + code
check_code_units(abstract_code, self,
additional_variables=variables,
level=level+2,
run_namespace=run_namespace)
codeobj = create_runner_codeobj(self,
abstract_code,
'group_variable_get_conditional',
additional_variables=variables,
level=level+2,
run_namespace=run_namespace,
)
return codeobj()
def set_with_expression_conditional(self, varname, variable, cond,
code, check_units=True, level=0,
run_namespace=None):
'''
Sets a variable using a string expression and string condition. Is
called by `VariableView.set_item` for statements such as
``S.var['i!=j'] = 'exp(-abs(i-j)/space_constant)*nS'``
Parameters
----------
varname : str
The name of the variable to be set.
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set.
cond : str
The string condition for which the variables should be set.
code : str
The code that should be executed to set the variable values.
check_units : bool, optional
Whether to check the units of the expression.
level : int, optional
How much farther to go up in the stack to find the implicit
namespace (if used, see `run_namespace`).
run_namespace : dict-like, optional
An additional namespace that is used for variable lookup (if not
defined, the implicit namespace of local variables is used).
'''
if variable.scalar and cond != 'True':
raise IndexError(('Cannot conditionally set the scalar variable '
'%s.') % varname)
abstract_code_cond = '_cond = '+cond
abstract_code = varname + ' = ' + code
variables = Variables(None)
variables.add_auxiliary_variable('_cond', unit=Unit(1), dtype=np.bool)
check_code_units(abstract_code_cond, self,
additional_variables=variables,
level=level+2,
run_namespace=run_namespace)
# TODO: Have an additional argument to avoid going through the index
# array for situations where iterate_all could be used
codeobj = create_runner_codeobj(self,
{'condition': abstract_code_cond,
'statement': abstract_code},
'group_variable_set_conditional',
additional_variables=variables,
check_units=check_units,
level=level+2,
run_namespace=run_namespace)
codeobj()
def get_with_expression(self, group, variable_name, variable, code, level=0):
'''
Gets a variable using a string expression. Is called by
`VariableView.get_item` for statements such as
``print G.v['g_syn > 0']``.
Parameters
----------
group : `Group`
The group providing the context for the indexing.
variable_name : str
The name of the variable in its context (e.g. ``'g_post'`` for a
variable with name ``'g'``)
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set
code : str
An expression that states a condition for elements that should be
selected. Can contain references to indices, such as ``i`` or ``j``
and to state variables. For example: ``'i>3 and v>0*mV'``.
level : int, optional
How much farther to go up in the stack to find the namespace.
'''
# interpret the string expression
namespace = get_local_namespace(level+1)
additional_namespace = ('implicit-namespace', namespace)
# Add the recorded variable under a known name to the variables
# dictionary. Important to deal correctly with
# the type of the variable in C++
variables = Variables(None)
variables.add_auxiliary_variable('_variable', unit=variable.unit,
dtype=variable.dtype,
scalar=variable.scalar,
is_bool=variable.is_bool)
variables.add_auxiliary_variable('_cond', unit=Unit(1), dtype=np.bool,
is_bool=True)
abstract_code = '_variable = ' + variable_name + '\n'
abstract_code += '_cond = ' + code
check_code_units(abstract_code, group,
additional_namespace=additional_namespace,
additional_variables=variables)
codeobj = create_runner_codeobj(group,
abstract_code,
'group_variable_get_conditional',
additional_variables=variables,
additional_namespace=additional_namespace,
)
return codeobj()
def get_with_index_array(self, variable_name, variable, item):
if variable.scalar:
if not (isinstance(item, slice) and item == slice(None)):
raise IndexError(('Illegal index for variable %s, it is a '
'scalar variable.') % variable_name)
indices = np.array(0)
else:
indices = self.calc_indices(item)
# For "normal" variables, we can directly access the underlying data
# and use the usual slicing syntax. For subexpressions, however, we
# have to evaluate code for the given indices
if isinstance(variable, Subexpression):
variables = Variables(None)
variables.add_auxiliary_variable('_variable', unit=variable.unit,
dtype=variable.dtype,
scalar=variable.scalar)
if indices.shape == ():
single_index = True
indices = np.array([indices])
else:
single_index = False
variables.add_array('_group_idx', unit=Unit(1),
size=len(indices), dtype=np.int32)
variables['_group_idx'].set_value(indices)
abstract_code = '_variable = ' + variable_name + '\n'
codeobj = create_runner_codeobj(self,
abstract_code,
'group_variable_get',
additional_variables=variables
)
result = codeobj()
if single_index and not variable.scalar:
return result[0]
else:
return result
else:
if variable.scalar:
return variable.get_value()[0]
else:
# We are not going via code generation so we have to take care
# of correct indexing (in particular for subgroups) explicitly
var_index = self.variables.indices[variable_name]
if var_index != '_idx':
indices = self.variables[var_index].get_value()[indices]
return variable.get_value()[indices]
def set_with_expression_conditional(self, group, varname, variable, cond,
code, check_units=True, level=0):
'''
Sets a variable using a string expression and string condition. Is
called by `VariableView.set_item` for statements such as
``S.var['i!=j'] = 'exp(-abs(i-j)/space_constant)*nS'``
Parameters
----------
group : `Group`
The group providing the context for the indexing.
varname : str
The name of the variable to be set.
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set.
cond : str
The string condition for which the variables should be set.
code : str
The code that should be executed to set the variable values.
check_units : bool, optional
Whether to check the units of the expression.
level : int, optional
How much farther to go up in the stack to find the namespace.
'''
abstract_code_cond = '_cond = '+cond
abstract_code = varname + ' = ' + code
namespace = get_local_namespace(level + 1)
additional_namespace = ('implicit-namespace', namespace)
variables = Variables(None)
variables.add_auxiliary_variable('_cond', unit=Unit(1), dtype=np.bool,
is_bool=True)
check_code_units(abstract_code_cond, group,
additional_variables=variables,
additional_namespace=additional_namespace)
# TODO: Have an additional argument to avoid going through the index
# array for situations where iterate_all could be used
codeobj = create_runner_codeobj(group,
{'condition': abstract_code_cond,
'statement': abstract_code},
'group_variable_set_conditional',
additional_variables=variables,
additional_namespace=additional_namespace,
check_units=check_units)
codeobj()
def set_with_expression(self, varname, variable, item, code,
check_units=True, level=0, run_namespace=None):
'''
Sets a variable using a string expression. Is called by
`VariableView.set_item` for statements such as
``S.var[:, :] = 'exp(-abs(i-j)/space_constant)*nS'``
Parameters
----------
varname : str
The name of the variable to be set
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set.
item : `ndarray`
The indices for the variable (in the context of this `group`).
code : str
The code that should be executed to set the variable values.
Can contain references to indices, such as `i` or `j`
check_units : bool, optional
Whether to check the units of the expression.
level : int, optional
How much farther to go up in the stack to find the implicit
namespace (if used, see `run_namespace`).
run_namespace : dict-like, optional
An additional namespace that is used for variable lookup (if not
defined, the implicit namespace of local variables is used).
'''
indices = self.calc_indices(item)
abstract_code = varname + ' = ' + code
variables = Variables(None)
variables.add_array('_group_idx', unit=Unit(1),
size=len(indices), dtype=np.int32)
variables['_group_idx'].set_value(indices)
# TODO: Have an additional argument to avoid going through the index
# array for situations where iterate_all could be used
codeobj = create_runner_codeobj(self,
abstract_code,
'group_variable_set',
additional_variables=variables,
check_units=check_units,
level=level+2,
run_namespace=run_namespace)
codeobj()
def set_with_expression(self, group, varname, variable, item, code,
check_units=True, level=0):
'''
Sets a variable using a string expression. Is called by
`VariableView.set_item` for statements such as
``S.var[:, :] = 'exp(-abs(i-j)/space_constant)*nS'``
Parameters
----------
group : `Group`
The group providing the context for the indexing.
varname : str
The name of the variable to be set
variable : `ArrayVariable`
The `ArrayVariable` object for the variable to be set.
item : `ndarray`
The indices for the variable (in the context of this `group`).
code : str
The code that should be executed to set the variable values.
Can contain references to indices, such as `i` or `j`
check_units : bool, optional
Whether to check the units of the expression.
level : int, optional
How much farther to go up in the stack to find the namespace.
'''
indices = group.calc_indices(item)
abstract_code = varname + ' = ' + code
namespace = get_local_namespace(level + 1)
additional_namespace = ('implicit-namespace', namespace)
variables = Variables(None)
variables.add_array('_group_idx', unit=Unit(1),
size=len(indices), dtype=np.int32)
variables['_group_idx'].set_value(indices)
# TODO: Have an additional argument to avoid going through the index
# array for situations where iterate_all could be used
codeobj = create_runner_codeobj(group,
abstract_code,
'group_variable_set',
additional_variables=variables,
additional_namespace=additional_namespace,
check_units=check_units)
codeobj()
def __getitem__(self, item):
if isinstance(item, basestring):
variables = Variables(None)
variables.add_auxiliary_variable('_indices', unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_cond', unit=Unit(1),
dtype=np.bool)
abstract_code = '_cond = ' + item
from brian2.devices.device import get_default_codeobject_class
codeobj = create_runner_codeobj(self.group,
abstract_code,
'group_get_indices',
additional_variables=variables,
level=1,
codeobj_class=get_default_codeobject_class('codegen.string_expression_target')
)
return codeobj()
else:
return self.indices(item)
def before_run(self, namespace):
self.update_abstract_code()
# If the GroupCodeRunner has variables, add them
if hasattr(self, 'variables'):
additional_variables = self.variables
else:
additional_variables = None
if self.check_units:
check_code_units(self.abstract_code, self.group,
additional_variables, namespace)
self.codeobj = create_runner_codeobj(group=self.group,
code=self.abstract_code,
template_name=self.template,
name=self.name+'_codeobject*',
check_units=self.check_units,
additional_variables=additional_variables,
additional_namespace=namespace,
needed_variables=self.needed_variables,
template_kwds=self.template_kwds)
self.code_objects[:] = [weakref.proxy(self.codeobj)]
def __getitem__(self, item):
if isinstance(item, str):
variables = Variables(None)
variables.add_auxiliary_variable('_indices', dtype=np.int32)
variables.add_auxiliary_variable('_cond', dtype=bool)
abstract_code = '_cond = ' + item
namespace = get_local_namespace(level=1)
from brian2.devices.device import get_device
device = get_device()
codeobj = create_runner_codeobj(self.group,
abstract_code,
'group_get_indices',
run_namespace=namespace,
additional_variables=variables,
codeobj_class=device.code_object_class(fallback_pref='codegen.string_expression_target')
)
return codeobj()
else:
return self.indices(item)
def __getitem__(self, item):
if isinstance(item, basestring):
variables = Variables(None)
variables.add_auxiliary_variable('_indices', dtype=np.int32)
variables.add_auxiliary_variable('_cond', dtype=np.bool)
abstract_code = '_cond = ' + item
namespace = get_local_namespace(level=1)
from brian2.devices.device import get_device
device = get_device()
codeobj = create_runner_codeobj(self.group,
abstract_code,
'group_get_indices',
run_namespace=namespace,
additional_variables=variables,
codeobj_class=device.code_object_class(fallback_pref='codegen.string_expression_target')
)
return codeobj()
else:
return self.indices(item)
def __getitem__(self, item):
if isinstance(item, basestring):
variables = Variables(None)
variables.add_auxiliary_variable("_indices", unit=Unit(1), dtype=np.int32)
variables.add_auxiliary_variable("_cond", unit=Unit(1), dtype=np.bool)
abstract_code = "_cond = " + item
check_code_units(abstract_code, self.group, additional_variables=variables, level=1)
from brian2.devices.device import get_default_codeobject_class
codeobj = create_runner_codeobj(
self.group,
abstract_code,
"group_get_indices",
additional_variables=variables,
level=1,
codeobj_class=get_default_codeobject_class("codegen.string_expression_target"),
)
return codeobj()
else:
return self.indices(item)
def before_run(self, run_namespace=None, level=0):
self.update_abstract_code(run_namespace=run_namespace, level=level+1)
# If the CodeRunner has variables, add them
if hasattr(self, 'variables'):
additional_variables = self.variables
else:
additional_variables = None
self.codeobj = create_runner_codeobj(group=self.group,
code=self.abstract_code,
template_name=self.template,
name=self.name+'_codeobject*',
check_units=self.check_units,
additional_variables=additional_variables,
needed_variables=self.needed_variables,
run_namespace=run_namespace,
level=level+1,
template_kwds=self.template_kwds,
override_conditional_write=self.override_conditional_write,
)
self.code_objects[:] = [weakref.proxy(self.codeobj)]
def __getitem__(self, item):
if isinstance(item, basestring):
variables = Variables(None)
variables.add_auxiliary_variable('_indices', unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_cond', unit=Unit(1),
dtype=np.bool)
abstract_code = '_cond = ' + item
check_code_units(abstract_code, self.group,
additional_variables=variables,
level=1)
codeobj = create_runner_codeobj(self.group,
abstract_code,
'group_get_indices',
additional_variables=variables,
level=1
)
return codeobj()
else:
return self.group.calc_indices(item)
def get_with_index_array(self, group, variable_name, variable, item):
if variable.scalar:
if not ((isinstance(item, slice) and item == slice(None)) or item == 0 or (hasattr(item, '__len__')
and len(item) == 0)):
raise IndexError('Variable is a scalar variable.')
indices = np.array([0])
else:
indices = group.calc_indices(item)
# For "normal" variables, we can directly access the underlying data
# and use the usual slicing syntax. For subexpressions, however, we
# have to evaluate code for the given indices
if isinstance(variable, Subexpression):
variables = Variables(None)
variables.add_auxiliary_variable('_variable', unit=variable.unit,
dtype=variable.dtype,
scalar=variable.scalar,
is_bool=variable.is_bool)
variables.add_array('_group_idx', unit=Unit(1),
size=len(indices), dtype=np.int32)
variables['_group_idx'].set_value(indices)
abstract_code = '_variable = ' + variable_name + '\n'
codeobj = create_runner_codeobj(group,
abstract_code,
'group_variable_get',
additional_variables=variables
)
return codeobj()
else:
# We are not going via code generation so we have to take care
# of correct indexing (in particular for subgroups) explicitly
var_index = group.variables.indices[variable_name]
if var_index != '_idx':
indices = group.variables[var_index].get_value()[indices]
return variable.get_value()[indices]
def __getitem__(self, item):
if isinstance(item, basestring):
namespace = get_local_namespace(1)
additional_namespace = ('implicit-namespace', namespace)
variables = Variables(None)
variables.add_auxiliary_variable('_indices', unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_cond', unit=Unit(1),
dtype=np.bool,
is_bool=True)
abstract_code = '_cond = ' + item
check_code_units(abstract_code, self.group,
additional_namespace=additional_namespace,
additional_variables=variables)
codeobj = create_runner_codeobj(self.group,
abstract_code,
'group_get_indices',
additional_variables=variables,
additional_namespace=additional_namespace,
)
return codeobj()
else:
return self.group.calc_indices(item)
def _add_synapses(self, sources, targets, n, p, condition=None,
level=0):
if condition is None:
sources = np.atleast_1d(sources).astype(np.int32)
targets = np.atleast_1d(targets).astype(np.int32)
n = np.atleast_1d(n)
p = np.atleast_1d(p)
if not len(p) == 1 or p != 1:
use_connections = np.random.rand(len(sources)) < p
sources = sources[use_connections]
targets = targets[use_connections]
n = n[use_connections]
sources = sources.repeat(n)
targets = targets.repeat(n)
new_synapses = len(sources)
old_N = len(self)
new_N = old_N + new_synapses
self._resize(new_N)
# Deal with subgroups
if '_sub_idx' in self.source.variables:
real_sources = self.source.variables['_sub_idx'].get_value()[sources]
else:
real_sources = sources
if '_sub_idx' in self.target.variables:
real_targets = self.target.variables['_sub_idx'].get_value()[targets]
else:
real_targets = targets
self.variables['_synaptic_pre'].get_value()[old_N:new_N] = real_sources
self.variables['_synaptic_post'].get_value()[old_N:new_N] = real_targets
else:
abstract_code = '_pre_idx = _all_pre \n'
abstract_code += '_post_idx = _all_post \n'
abstract_code += '_cond = ' + condition + '\n'
abstract_code += '_n = ' + str(n) + '\n'
abstract_code += '_p = ' + str(p)
namespace = get_local_namespace(level + 1)
additional_namespace = ('implicit-namespace', namespace)
# This overwrites 'i' and 'j' in the synapses' variables dictionary
# This is necessary because in the context of synapse creation, i
# and j do not correspond to the sources/targets of the existing
# synapses but to all the possible sources/targets
variables = Variables(None)
# Will be set in the template
variables.add_auxiliary_variable('i', unit=Unit(1))
variables.add_auxiliary_variable('j', unit=Unit(1))
if '_sub_idx' in self.source.variables:
variables.add_reference('_all_pre', self.source.variables['_sub_idx'])
else:
variables.add_reference('_all_pre', self.source.variables['i'])
if '_sub_idx' in self.target.variables:
variables.add_reference('_all_post', self.target.variables['_sub_idx'])
else:
variables.add_reference('_all_post', self.target.variables['i'])
variable_indices = defaultdict(lambda: '_idx')
for varname in self.variables:
if self.variables.indices[varname] == '_presynaptic_idx':
variable_indices[varname] = '_all_pre'
elif self.variables.indices[varname] == '_postsynaptic_idx':
variable_indices[varname] = '_all_post'
variable_indices['_all_pre'] = 'i'
variable_indices['_all_post'] = 'j'
codeobj = create_runner_codeobj(self,
abstract_code,
'synapses_create',
variable_indices=variable_indices,
additional_variables=variables,
additional_namespace=additional_namespace,
check_units=False
)
codeobj()
def _add_synapses(self,
sources,
targets,
n,
p,
condition=None,
namespace=None,
level=0):
if condition is None:
sources = np.atleast_1d(sources).astype(np.int32)
targets = np.atleast_1d(targets).astype(np.int32)
n = np.atleast_1d(n)
p = np.atleast_1d(p)
if not len(p) == 1 or p != 1:
use_connections = np.random.rand(len(sources)) < p
sources = sources[use_connections]
targets = targets[use_connections]
n = n[use_connections]
sources = sources.repeat(n)
targets = targets.repeat(n)
new_synapses = len(sources)
old_N = len(self)
new_N = old_N + new_synapses
self._resize(new_N)
# Deal with subgroups
if '_sub_idx' in self.source.variables:
real_sources = self.source.variables['_sub_idx'].get_value(
)[sources]
else:
real_sources = sources
if '_sub_idx' in self.target.variables:
real_targets = self.target.variables['_sub_idx'].get_value(
)[targets]
else:
real_targets = targets
self.variables['_synaptic_pre'].get_value(
)[old_N:new_N] = real_sources
self.variables['_synaptic_post'].get_value(
)[old_N:new_N] = real_targets
self.variables['N_outgoing'].get_value()[:] += np.bincount(
real_sources, minlength=self.variables['N_outgoing'].size)
self.variables['N_incoming'].get_value()[:] += np.bincount(
real_targets, minlength=self.variables['N_incoming'].size)
else:
abstract_code = '_pre_idx = _all_pre \n'
abstract_code += '_post_idx = _all_post \n'
abstract_code += '_cond = ' + condition + '\n'
abstract_code += '_n = ' + str(n) + '\n'
abstract_code += '_p = ' + str(p)
# This overwrites 'i' and 'j' in the synapses' variables dictionary
# This is necessary because in the context of synapse creation, i
# and j do not correspond to the sources/targets of the existing
# synapses but to all the possible sources/targets
variables = Variables(None)
# Will be set in the template
variables.add_auxiliary_variable('_i', unit=Unit(1))
variables.add_auxiliary_variable('_j', unit=Unit(1))
# Make sure that variables have the correct type in the code
variables.add_auxiliary_variable('_pre_idx',
unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_post_idx',
unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_cond',
unit=Unit(1),
dtype=np.bool)
variables.add_auxiliary_variable('_n',
unit=Unit(1),
dtype=np.int32)
variables.add_auxiliary_variable('_p', unit=Unit(1))
if '_sub_idx' in self.source.variables:
variables.add_reference('_all_pre',
self.source.variables['_sub_idx'])
else:
variables.add_reference('_all_pre', self.source.variables['i'])
if '_sub_idx' in self.target.variables:
variables.add_reference('_all_post',
self.target.variables['_sub_idx'])
else:
variables.add_reference('_all_post',
self.target.variables['i'])
variable_indices = defaultdict(lambda: '_idx')
for varname in self.variables:
if self.variables.indices[varname] == '_presynaptic_idx':
variable_indices[varname] = '_all_pre'
elif self.variables.indices[varname] == '_postsynaptic_idx':
variable_indices[varname] = '_all_post'
variable_indices['_all_pre'] = '_i'
variable_indices['_all_post'] = '_j'
codeobj = create_runner_codeobj(self,
abstract_code,
'synapses_create',
variable_indices=variable_indices,
additional_variables=variables,
check_units=False,
run_namespace=namespace,
level=level + 1)
codeobj()
def _add_synapses(self, sources, targets, n, p, condition=None,
namespace=None, level=0):
if condition is None:
variables = Variables(self)
sources = np.atleast_1d(sources).astype(np.int32)
targets = np.atleast_1d(targets).astype(np.int32)
n = np.atleast_1d(n)
p = np.atleast_1d(p)
if not len(p) == 1 or p != 1:
use_connections = np.random.rand(len(sources)) < p
sources = sources[use_connections]
targets = targets[use_connections]
n = n[use_connections]
sources = sources.repeat(n)
targets = targets.repeat(n)
variables.add_array('sources', Unit(1), len(sources), dtype=np.int32,
values=sources)
variables.add_array('targets', Unit(1), len(targets), dtype=np.int32,
values=targets)
# These definitions are important to get the types right in C++
variables.add_auxiliary_variable('_real_sources', Unit(1), dtype=np.int32)
variables.add_auxiliary_variable('_real_targets', Unit(1), dtype=np.int32)
abstract_code = ''
if '_offset' in self.source.variables:
variables.add_reference('_source_offset', self.source, '_offset')
abstract_code += '_real_sources = sources + _source_offset\n'
else:
abstract_code += '_real_sources = sources\n'
if '_offset' in self.target.variables:
variables.add_reference('_target_offset', self.target, '_offset')
abstract_code += '_real_targets = targets + _target_offset\n'
else:
abstract_code += '_real_targets = targets'
codeobj = create_runner_codeobj(self,
abstract_code,
'synapses_create_array',
additional_variables=variables,
check_units=False,
run_namespace=namespace,
level=level+1)
codeobj()
else:
abstract_code = '_pre_idx = _all_pre \n'
abstract_code += '_post_idx = _all_post \n'
abstract_code += '_cond = ' + condition + '\n'
abstract_code += '_n = ' + str(n) + '\n'
abstract_code += '_p = ' + str(p)
# This overwrites 'i' and 'j' in the synapses' variables dictionary
# This is necessary because in the context of synapse creation, i
# and j do not correspond to the sources/targets of the existing
# synapses but to all the possible sources/targets
variables = Variables(None)
# Will be set in the template
variables.add_auxiliary_variable('_i', unit=Unit(1))
variables.add_auxiliary_variable('_j', unit=Unit(1))
# Make sure that variables have the correct type in the code
variables.add_auxiliary_variable('_pre_idx', unit=Unit(1), dtype=np.int32)
variables.add_auxiliary_variable('_post_idx', unit=Unit(1), dtype=np.int32)
variables.add_auxiliary_variable('_cond', unit=Unit(1), dtype=np.bool)
variables.add_auxiliary_variable('_n', unit=Unit(1), dtype=np.int32)
variables.add_auxiliary_variable('_p', unit=Unit(1))
if '_sub_idx' in self.source.variables:
variables.add_reference('_all_pre', self.source, '_sub_idx')
else:
variables.add_reference('_all_pre', self.source, 'i')
if '_sub_idx' in self.target.variables:
variables.add_reference('_all_post', self.target, '_sub_idx')
else:
variables.add_reference('_all_post', self.target, 'i')
variable_indices = defaultdict(lambda: '_idx')
for varname in self.variables:
if self.variables.indices[varname] == '_presynaptic_idx':
variable_indices[varname] = '_all_pre'
elif self.variables.indices[varname] == '_postsynaptic_idx':
variable_indices[varname] = '_all_post'
variable_indices['_all_pre'] = '_i'
variable_indices['_all_post'] = '_j'
codeobj = create_runner_codeobj(self,
abstract_code,
'synapses_create',
variable_indices=variable_indices,
additional_variables=variables,
check_units=False,
run_namespace=namespace,
level=level+1)
codeobj()
