def as_list(value, size, ids=None):
if isinstance(value, RandomDistribution):
return value.next(n=size)
return RangedList.as_list(value, size, ids)
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from spinn_utilities.ranged.ranged_list import RangedList
import numpy
import pytest
@pytest.mark.parametrize(
"ranged_list, range_based",
[(RangedList(10, numpy.arange(10), use_list_as_value=True), True),
(RangedList(10, [numpy.arange(10) for _ in range(10)]), False)])
def test_list_of_numpy_list(ranged_list, range_based):
assert ranged_list.range_based() == range_based
assert numpy.array_equal(ranged_list,
[numpy.arange(10) for _ in range(10)])
assert numpy.array_equal(ranged_list.get_single_value_all(),
numpy.arange(10))
result_div = ranged_list / 2
assert result_div == [numpy.arange(10) / 2 for _ in range(10)]
ranged_list[5] = 5
assert ranged_list[5] == 5
ranged_list[7:9] = 10
def is_list(value, size):
if isinstance(value, RandomDistribution):
return True
return RangedList.is_list(value, size)
def is_list(value, size):
if globals_variables.get_simulator().is_a_pynn_random(value):
return True
return RangedList.is_list(value, size)
def as_list(value, size, ids=None):
if globals_variables.get_simulator().is_a_pynn_random(value):
return value.next(n=size)
return RangedList.as_list(value, size, ids)
def is_list(value, size):
if globals_variables.get_simulator().is_a_pynn_random(value):
return True
return RangedList.is_list(value, size)
def as_list(value, size, ids=None):
if globals_variables.get_simulator().is_a_pynn_random(value):
return value.next(n=size)
return RangedList.as_list(value, size, ids)