def connect_from_file(self, filename):
"""
Builds a connection pattern using data saved using the Projection.save_connectivity() method (not save()!).
*Parameters*:
* **filename**: file where the data was saved.
.. note::
Only the ranks, weights and delays are loaded, not the other variables.
"""
# Create an empty CSR object
csr = Connector.CSR()
# Load the data
from ANNarchy.core.IO import _load_data
try:
data = _load_data(filename)
except Exception as e:
Global._print(e)
Global._error('connect_from_file(): Unable to load the data', filename,
'into the projection.')
exit(0)
# Load the CSR object
try:
csr.post_rank = data['post_ranks']
csr.pre_rank = data['pre_ranks']
if isinstance(data['w'], (int, float)):
self._single_constant_weight = True
csr.w = [[data['w']]]
else:
csr.w = data['w']
csr.size = data['size']
csr.nb_synapses = data['nb_synapses']
if data['delay']:
csr.delay = data['delay']
csr.max_delay = data['max_delay']
csr.uniform_delay = data['uniform_delay']
except Exception as e:
Global._print(e)
Global._error('Unable to load the data', filename,
'into the projection.')
exit(0)
# Store the synapses
self.connector_name = "From File"
self.connector_description = "From File"
self._store_connectivity(
self._load_from_csr, (csr, ),
csr.max_delay if csr.uniform_delay > -1 else csr.delay)
return self
def connect_from_file(self, filename):
"""
Builds a connection pattern using data saved using the Projection.save_connectivity() method (not save()!).
*Parameters*:
* **filename**: file where the data was saved.
.. note::
Only the ranks, weights and delays are loaded, not the other variables.
"""
# Create an empty CSR object
csr = Connector.CSR()
# Load the data
from ANNarchy.core.IO import _load_data
try:
data = _load_data(filename)
except Exception as e:
Global._print(e)
Global._error('connect_from_file(): Unable to load the data', filename, 'into the projection.')
exit(0)
# Load the CSR object
try:
csr.post_rank = data['post_ranks']
csr.pre_rank = data['pre_ranks']
if isinstance(data['w'], (int, float)):
self._single_constant_weight = True
csr.w = [[data['w']]]
else:
csr.w = data['w']
csr.size = data['size']
csr.nb_synapses = data['nb_synapses']
if data['delay']:
csr.delay = data['delay']
csr.max_delay = data['max_delay']
csr.uniform_delay = data['uniform_delay']
except Exception as e:
Global._print(e)
Global._error('Unable to load the data', filename, 'into the projection.')
exit(0)
# Store the synapses
self.connector_name = "From File"
self.connector_description = "From File"
self._store_connectivity(self._load_from_csr, (csr,), csr.max_delay if csr.uniform_delay > -1 else csr.delay)
return self
def load(self, filename):
"""
Loads the saved state of the projection.
Warning: Matlab data can not be loaded.
*Parameters*:
* **filename**: the filename with relative or absolute path.
Example::
proj.load('pop1.txt')
"""
from ANNarchy.core.IO import _load_data, _load_proj_data
_load_proj_data(self, _load_data(filename))
def load(self, filename):
"""
Load the saved state of the population.
Warning: Matlab data can not be loaded.
*Parameters*:
* **filename**: the filename with relative or absolute path.
Example::
pop.load('pop1.txt')
"""
from ANNarchy.core.IO import _load_data, _load_pop_data
_load_pop_data(self, _load_data(filename))
def load(self, filename):
"""
Load the saved state of the population by `Population.save()`.
Warning: Matlab data can not be loaded.
Example:
```python
pop.load('pop1.npz')
pop.load('pop1.txt')
pop.load('pop1.txt.gz')
```
:param filename: the filename with relative or absolute path.
"""
from ANNarchy.core.IO import _load_data
self._load_pop_data(_load_data(filename))
def load(self, filename):
"""
Loads the saved state of the projection by `Projection.save()`.
Warning: Matlab data can not be loaded.
*Parameters*:
* **filename**: the file name with relative or absolute path.
Example::
proj.load('proj1.npz')
proj.load('proj1.txt')
proj.load('proj1.txt.gz')
"""
from ANNarchy.core.IO import _load_data
self._load_proj_data(_load_data(filename))
def connect_from_file(self, filename):
"""
Builds the connectivity matrix using data saved using the Projection.save_connectivity() method (not save()!).
Admissible file formats are compressed Numpy files (.npz), gunzipped binary text files (.gz) or binary text files.
*Parameters*:
* **filename**: file where the connections were saved.
.. note::
Only the ranks, weights and delays are loaded, not the other variables.
"""
# Create an empty LIL object
lil = LILConnectivity()
# Load the data
from ANNarchy.core.IO import _load_data
try:
data = _load_data(filename)
except Exception as e:
Global._print(e)
Global._error('connect_from_file(): Unable to load the data', filename, 'into the projection.')
# Load the LIL object
try:
# Size
lil.size = data['size']
lil.nb_synapses = data['nb_synapses']
# Ranks
lil.post_rank = list(data['post_ranks'])
lil.pre_rank = list(data['pre_ranks'])
# Weights
if isinstance(data['w'], (int, float)):
self._single_constant_weight = True
lil.w = [[float(data['w'])]]
elif isinstance(data['w'], (np.ndarray,)) and data['w'].size == 1:
self._single_constant_weight = True
lil.w = [[float(data['w'])]]
else:
lil.w = data['w']
# Delays
if data['delay']:
lil.delay = data['delay']
lil.max_delay = data['max_delay']
lil.uniform_delay = data['uniform_delay']
except Exception as e:
Global._print(e)
Global._error('Unable to load the data', filename, 'into the projection.')
# Store the synapses
self.connector_name = "From File"
self.connector_description = "From File"
self._store_connectivity(self._load_from_lil, (lil,), lil.max_delay if lil.uniform_delay > 0 else lil.delay)
return self