本文整理匯總了Python中brian2.core.network.Network.__instances__方法的典型用法代碼示例。如果您正苦於以下問題：Python Network.__instances__方法的具體用法？Python Network.__instances__怎麽用？Python Network.__instances__使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類brian2.core.network.Network的用法示例。
在下文中一共展示了Network.__instances__方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: find_synapses
# 需要導入模塊: from brian2.core.network import Network [as 別名]
# 或者: from brian2.core.network.Network import __instances__ [as 別名]
def find_synapses(self):
# Write the global objects
networks = [net() for net in Network.__instances__() if net().name != "_fake_network"]
synapses = []
for net in networks:
net_synapses = [s for s in net.objects if isinstance(s, Synapses)]
synapses.extend(net_synapses)
self.networks = networks
self.net_synapses = synapses示例2: find_synapses
# 需要導入模塊: from brian2.core.network import Network [as 別名]
# 或者: from brian2.core.network.Network import __instances__ [as 別名]
def find_synapses(self):
# Write the global objects
networks = [net() for net in Network.__instances__()
if net().name != '_fake_network']
synapses = []
for net in networks:
net_synapses = [s for s in net.objects if isinstance(s, Synapses)]
synapses.extend(net_synapses)
# We don't currently support pathways with scalar delays
for synapse_obj in net_synapses:
for pathway in synapse_obj._pathways:
if not isinstance(pathway.variables['delay'],
DynamicArrayVariable):
error_msg = ('The "%s" pathway uses a scalar '
'delay (instead of a delay per synapse). '
'This is not yet supported. Do not '
'specify a delay in the Synapses(...) '
'call but instead set its delay attribute '
'afterwards.') % (pathway.name)
raise NotImplementedError(error_msg)
self.networks = networks
self.net_synapses = synapses示例3: build
# 需要導入模塊: from brian2.core.network import Network [as 別名]
# 或者: from brian2.core.network.Network import __instances__ [as 別名]
def build(self, project_dir='output', compile_project=True, run_project=False, debug=True,
with_output=True, native=True,
additional_source_files=None, additional_header_files=None,
main_includes=None, run_includes=None,
run_args=None,
):
'''
Build the project
TODO: more details
Parameters
----------
project_dir : str
The output directory to write the project to, any existing files will be overwritten.
compile_project : bool
Whether or not to attempt to compile the project using GNU make.
run_project : bool
Whether or not to attempt to run the built project if it successfully builds.
debug : bool
Whether to compile in debug mode.
with_output : bool
Whether or not to show the ``stdout`` of the built program when run.
native : bool
Whether or not to compile natively using the ``--march=native`` gcc option.
additional_source_files : list of str
A list of additional ``.cpp`` files to include in the build.
additional_header_files : list of str
A list of additional ``.h`` files to include in the build.
main_includes : list of str
A list of additional header files to include in ``main.cpp``.
run_includes : list of str
A list of additional header files to include in ``run.cpp``.
'''
if additional_source_files is None:
additional_source_files = []
if additional_header_files is None:
additional_header_files = []
if main_includes is None:
main_includes = []
if run_includes is None:
run_includes = []
if run_args is None:
run_args = []
self.project_dir = project_dir
ensure_directory(project_dir)
for d in ['code_objects', 'results', 'static_arrays']:
ensure_directory(os.path.join(project_dir, d))
writer = CPPWriter(project_dir)
logger.debug("Writing C++ standalone project to directory "+os.path.normpath(project_dir))
arange_arrays = sorted([(var, start)
for var, start in self.arange_arrays.iteritems()],
key=lambda (var, start): var.name)
# # Find np arrays in the namespaces and convert them into static
# # arrays. Hopefully they are correctly used in the code: For example,
# # this works for the namespaces for functions with C++ (e.g. TimedArray
# # treats it as a C array) but does not work in places that are
# # implicitly vectorized (state updaters, resets, etc.). But arrays
# # shouldn't be used there anyway.
for code_object in self.code_objects.itervalues():
for name, value in code_object.variables.iteritems():
if isinstance(value, np.ndarray):
self.static_arrays[name] = value
# write the static arrays
logger.debug("static arrays: "+str(sorted(self.static_arrays.keys())))
static_array_specs = []
for name, arr in sorted(self.static_arrays.items()):
arr.tofile(os.path.join(project_dir, 'static_arrays', name))
static_array_specs.append((name, c_data_type(arr.dtype), arr.size, name))
# Write the global objects
networks = [net() for net in Network.__instances__() if net().name!='_fake_network']
synapses = [S() for S in Synapses.__instances__()]
arr_tmp = CPPStandaloneCodeObject.templater.objects(
None, None,
array_specs=self.arrays,
dynamic_array_specs=self.dynamic_arrays,
dynamic_array_2d_specs=self.dynamic_arrays_2d,
zero_arrays=self.zero_arrays,
arange_arrays=arange_arrays,
synapses=synapses,
clocks=self.clocks,
static_array_specs=static_array_specs,
networks=networks,
)
writer.write('objects.*', arr_tmp)
main_lines = []
procedures = [('', main_lines)]
runfuncs = {}
for func, args in self.main_queue:
if func=='run_code_object':
codeobj, = args
main_lines.append('_run_%s();' % codeobj.name)
#.........這裏部分代碼省略.........
示例4: build
# 需要導入模塊: from brian2.core.network import Network [as 別名]
# 或者: from brian2.core.network.Network import __instances__ [as 別名]
def build(self, project_dir='output', compile_project=True, run_project=False, debug=True,
with_output=True):
ensure_directory(project_dir)
for d in ['code_objects', 'results', 'static_arrays']:
ensure_directory(os.path.join(project_dir, d))
logger.debug("Writing C++ standalone project to directory "+os.path.normpath(project_dir))
# # Find numpy arrays in the namespaces and convert them into static
# # arrays. Hopefully they are correctly used in the code: For example,
# # this works for the namespaces for functions with C++ (e.g. TimedArray
# # treats it as a C array) but does not work in places that are
# # implicitly vectorized (state updaters, resets, etc.). But arrays
# # shouldn't be used there anyway.
for code_object in self.code_objects.itervalues():
for name, value in code_object.variables.iteritems():
if isinstance(value, numpy.ndarray):
self.static_arrays[name] = value
# write the static arrays
logger.debug("static arrays: "+str(sorted(self.static_arrays.keys())))
static_array_specs = []
for name, arr in self.static_arrays.iteritems():
arr.tofile(os.path.join(project_dir, 'static_arrays', name))
static_array_specs.append((name, c_data_type(arr.dtype), arr.size, name))
# Write the global objects
networks = [net() for net in Network.__instances__() if net().name!='_fake_network']
synapses = [S() for S in Synapses.__instances__()]
arr_tmp = CPPStandaloneCodeObject.templater.objects(None,
array_specs=self.arrays,
dynamic_array_specs=self.dynamic_arrays,
dynamic_array_2d_specs=self.dynamic_arrays_2d,
zero_arrays=self.zero_arrays,
arange_arrays=self.arange_arrays,
synapses=synapses,
clocks=self.clocks,
static_array_specs=static_array_specs,
networks=networks,
)
logger.debug("objects: "+str(arr_tmp))
open(os.path.join(project_dir, 'objects.cpp'), 'w').write(arr_tmp.cpp_file)
open(os.path.join(project_dir, 'objects.h'), 'w').write(arr_tmp.h_file)
main_lines = []
for func, args in self.main_queue:
if func=='run_code_object':
codeobj, = args
main_lines.append('_run_%s(t);' % codeobj.name)
elif func=='run_network':
net, netcode = args
main_lines.extend(netcode)
elif func=='set_by_array':
arrayname, staticarrayname = args
code = '''
for(int i=0; i<_num_{staticarrayname}; i++)
{{
{arrayname}[i] = {staticarrayname}[i];
}}
'''.format(arrayname=arrayname, staticarrayname=staticarrayname)
main_lines.extend(code.split('\n'))
elif func=='set_array_by_array':
arrayname, staticarrayname_index, staticarrayname_value = args
code = '''
for(int i=0; i<_num_{staticarrayname_index}; i++)
{{
{arrayname}[{staticarrayname_index}[i]] = {staticarrayname_value}[i];
}}
'''.format(arrayname=arrayname, staticarrayname_index=staticarrayname_index,
staticarrayname_value=staticarrayname_value)
main_lines.extend(code.split('\n'))
elif func=='insert_code':
main_lines.append(args)
else:
raise NotImplementedError("Unknown main queue function type "+func)
# generate the finalisations
for codeobj in self.code_objects.itervalues():
if hasattr(codeobj.code, 'main_finalise'):
main_lines.append(codeobj.code.main_finalise)
# Generate data for non-constant values
handled_arrays = defaultdict(set)
code_object_defs = defaultdict(list)
for codeobj in self.code_objects.itervalues():
for k, v in codeobj.variables.iteritems():
if k=='t':
pass
elif isinstance(v, Subexpression):
pass
elif isinstance(v, AttributeVariable):
c_type = c_data_type(v.dtype)
# TODO: Handle dt in the correct way
if v.attribute == 'dt_':
code = ('const {c_type} {k} = '
'{value};').format(c_type=c_type,
k=k,
value=v.get_value())
else:
code = ('const {c_type} {k} = '
#.........這裏部分代碼省略.........
示例5: build
# 需要導入模塊: from brian2.core.network import Network [as 別名]
# 或者: from brian2.core.network.Network import __instances__ [as 別名]
#.........這裏部分代碼省略.........
logger.debug("Writing C++ standalone project to directory "+os.path.normpath(directory))
if nb_threads > 0:
logger.warn("OpenMP code is not yet well tested, and may be inaccurate.", "openmp", once=True)
logger.debug("Using OpenMP with %d threads " % nb_threads)
for codeobj in self.code_objects.itervalues():
if not 'IS_OPENMP_COMPATIBLE' in codeobj.template_source:
raise RuntimeError(("Code object '%s' uses the template %s "
"which is not compatible with "
"OpenMP.") % (codeobj.name,
codeobj.template_name))
arange_arrays = sorted([(var, start)
for var, start in self.arange_arrays.iteritems()],
key=lambda (var, start): var.name)
# # Find np arrays in the namespaces and convert them into static
# # arrays. Hopefully they are correctly used in the code: For example,
# # this works for the namespaces for functions with C++ (e.g. TimedArray
# # treats it as a C array) but does not work in places that are
# # implicitly vectorized (state updaters, resets, etc.). But arrays
# # shouldn't be used there anyway.
for code_object in self.code_objects.itervalues():
for name, value in code_object.variables.iteritems():
if isinstance(value, np.ndarray):
self.static_arrays[name] = value
# write the static arrays
logger.debug("static arrays: "+str(sorted(self.static_arrays.keys())))
static_array_specs = []
for name, arr in sorted(self.static_arrays.items()):
arr.tofile(os.path.join(directory, 'static_arrays', name))
static_array_specs.append((name, c_data_type(arr.dtype), arr.size, name))
# Write the global objects
networks = [net() for net in Network.__instances__()
if net().name != '_fake_network']
synapses = []
for net in networks:
net_synapses = [s for s in net.objects if isinstance(s, Synapses)]
synapses.extend(net_synapses)
# We don't currently support pathways with scalar delays
for synapse_obj in net_synapses:
for pathway in synapse_obj._pathways:
if not isinstance(pathway.variables['delay'],
DynamicArrayVariable):
error_msg = ('The "%s" pathway uses a scalar '
'delay (instead of a delay per synapse). '
'This is not yet supported. Do not '
'specify a delay in the Synapses(...) '
'call but instead set its delay attribute '
'afterwards.') % (pathway.name)
raise NotImplementedError(error_msg)
# Not sure what the best place is to call Network.after_run -- at the
# moment the only important thing it does is to clear the objects stored
# in magic_network. If this is not done, this might lead to problems
# for repeated runs of standalone (e.g. in the test suite).
for net in networks:
net.after_run()
arr_tmp = CPPStandaloneCodeObject.templater.objects(
None, None,
array_specs=self.arrays,
dynamic_array_specs=self.dynamic_arrays,
dynamic_array_2d_specs=self.dynamic_arrays_2d,
zero_arrays=self.zero_arrays,
arange_arrays=arange_arrays,