code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
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from abc import ABCMeta
from six import add_metaclass
from abc import abstractmethod
from pyNN.random import RandomDistribution
from pyNN.random import NumpyRNG
from spinn_front_end_common.utilities.utility_objs\
.provenance_data_item import ProvenanceDataItem
from spynnaker.pyNN.utilities import utility_calls
imp... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/abstract_connector.py | 0.88258 | 0.281634 | abstract_connector.py | pypi |
from pyNN.random import RandomDistribution
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import numpy
import logging
logger = logging.getLogger(__file__)
class FixedNumberPreConnector(AbstractConnector):
""" Connects a fixed number of pre-synaptic neur... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/fixed_number_pre_connector.py | 0.87903 | 0.277456 | fixed_number_pre_connector.py | pypi |
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
import logging
import numpy
logger = logging.getLogger(__name__)
class FromListConnector(AbstractConnector):
""" Make connections according to a list.
:param: conn_list:
a list of tuples, one t... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neural_projections/connectors/from_list_connector.py | 0.783906 | 0.232158 | from_list_connector.py | pypi |
from spynnaker.pyNN.utilities import conf
from spynnaker.pyNN.utilities import constants
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN import exceptions
from spynnaker.pyNN.models.neuron import master_pop_table_generators
from spynnaker.pyNN.utilities.running_stats import RunningStats
from spyn... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synaptic_manager.py | 0.580709 | 0.40439 | synaptic_manager.py | pypi |
from pacman.model.partitionable_graph.abstract_partitionable_vertex \
import AbstractPartitionableVertex
from pacman.model.constraints.key_allocator_constraints\
.key_allocator_contiguous_range_constraint \
import KeyAllocatorContiguousRangeContraint
# front end common imports
from spinn_front_end_common.a... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/abstract_population_vertex.py | 0.469034 | 0.32122 | abstract_population_vertex.py | pypi |
from pacman.model.partitioned_graph.partitioned_vertex import PartitionedVertex
# spinn front end common imports
from spinn_front_end_common.utilities.utility_objs\
.provenance_data_item import ProvenanceDataItem
from spinn_front_end_common.interface.provenance\
.provides_provenance_data_from_machine_impl \
... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/population_partitioned_vertex.py | 0.700895 | 0.252666 | population_partitioned_vertex.py | pypi |
from abc import ABCMeta
from six import add_metaclass
from abc import abstractmethod
import logging
logger = logging.getLogger(__name__)
@add_metaclass(ABCMeta)
class AbstractMasterPopTableFactory(object):
def __init__(self):
pass
@abstractmethod
def extract_synaptic_matrix_data_location(
... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/master_pop_table_generators/abstract_master_pop_table_factory.py | 0.898658 | 0.290364 | abstract_master_pop_table_factory.py | pypi |
from spynnaker.pyNN.models.neural_projections.projection_partitioned_edge import \
ProjectionPartitionedEdge
from spynnaker.pyNN.models.neuron.master_pop_table_generators\
.abstract_master_pop_table_factory import AbstractMasterPopTableFactory
import struct
from spynnaker.pyNN.models.neural_projections.projecti... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/master_pop_table_generators/master_pop_table_as_binary_search.py | 0.658308 | 0.459864 | master_pop_table_as_binary_search.py | pypi |
from spynnaker.pyNN.models.neuron.plasticity.stdp.common \
import plasticity_helpers
from spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence\
.abstract_timing_dependence import AbstractTimingDependence
from spynnaker.pyNN.models.neuron.plasticity.stdp.synapse_structure\
.synapse_structure_weight... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/plasticity/stdp/timing_dependence/timing_dependence_pfister_spike_triplet.py | 0.778818 | 0.320409 | timing_dependence_pfister_spike_triplet.py | pypi |
from spynnaker.pyNN.models.neuron.plasticity.stdp.common \
import plasticity_helpers
from spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence\
.abstract_timing_dependence import AbstractTimingDependence
from spynnaker.pyNN.models.neuron.plasticity.stdp.synapse_structure\
.synapse_structure_weight... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/plasticity/stdp/timing_dependence/timing_dependence_spike_pair.py | 0.848643 | 0.337122 | timing_dependence_spike_pair.py | pypi |
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.plasticity.stdp.weight_dependence\
.abstract_weight_dependence import AbstractWeightDependence
class WeightDependenceMultiplicative(AbstractWeightDependence):
def __init__(self, w_min=0.0, w_max=1.0, A_plus=0.01, A_minu... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/plasticity/stdp/weight_dependence/weight_dependence_multiplicative.py | 0.845974 | 0.427994 | weight_dependence_multiplicative.py | pypi |
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.plasticity.stdp.weight_dependence\
.abstract_weight_dependence import AbstractWeightDependence
class WeightDependenceAdditive(AbstractWeightDependence):
# noinspection PyPep8Naming
def __init__(
self, w_... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/plasticity/stdp/weight_dependence/weight_dependence_additive.py | 0.857037 | 0.411406 | weight_dependence_additive.py | pypi |
import numpy
import math
from spynnaker.pyNN.models.neuron.synapse_dynamics.abstract_synapse_dynamics \
import AbstractSynapseDynamics
from spynnaker.pyNN.models.neural_projections.connectors.abstract_connector \
import AbstractConnector
from spynnaker.pyNN.models.neuron.synapse_dynamics\
.abstract_static_... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_io/synapse_io_row_based.py | 0.782205 | 0.393997 | synapse_io_row_based.py | pypi |
from spynnaker.pyNN.models.neuron.neuron_models.neuron_model_izh \
import NeuronModelIzh
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
import SynapseTypeExponential
from spynnaker.pyNN.models.neuron.input_types.input_type_current \
import InputTypeCurrent
from spynnaker.pyNN.mod... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/builds/izk_curr_exp.py | 0.678859 | 0.424114 | izk_curr_exp.py | pypi |
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.input_types.input_type_conductance \
import InputTypeConductance
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/builds/if_cond_exp.py | 0.765418 | 0.499634 | if_cond_exp.py | pypi |
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
import SynapseTypeExponential
from spynnaker.pyNN.models.neuron.input_types.input_type_current \
im... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/builds/if_curr_exp.py | 0.769037 | 0.493103 | if_curr_exp.py | pypi |
from spynnaker.pyNN.models.neuron.input_types.input_type_conductance \
import InputTypeConductance
from spynnaker.pyNN.models.neuron.neuron_models.neuron_model_izh \
import NeuronModelIzh
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
import SynapseTypeExponential
from spynnaker.... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/builds/izk_cond_exp.py | 0.686265 | 0.422207 | izk_cond_exp.py | pypi |
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_dual_exponential \
import SynapseTypeDualExponential
from spynnaker.pyNN.models.neuron.input_types.input_type_current... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/builds/if_curr_dual_exp.py | 0.766468 | 0.535949 | if_curr_dual_exp.py | pypi |
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from spynnaker.pyNN.models.neuron.neuron_models.abstract_neuron_model \
import AbstractNeuronModel
from spynnaker.pyNN.utilities import utility_calls
from data_specification.enums.data_type import DataType
class NeuronMode... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/neuron_models/neuron_model_izh.py | 0.79799 | 0.466967 | neuron_model_izh.py | pypi |
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from spynnaker.pyNN.models.neuron.neuron_models.neuron_model_leaky_integrate \
import NeuronModelLeakyIntegrate
from spynnaker.pyNN.utilities import utility_calls
from data_specification.enums.data_type import DataType
impo... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/neuron_models/neuron_model_leaky_integrate_and_fire.py | 0.797596 | 0.482185 | neuron_model_leaky_integrate_and_fire.py | pypi |
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from spynnaker.pyNN.models.neuron.neuron_models.abstract_neuron_model \
import AbstractNeuronModel
from spynnaker.pyNN.utilities import utility_calls
from data_specification.enums.data_type import DataType
import numpy
cl... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/neuron_models/neuron_model_leaky_integrate.py | 0.825449 | 0.37165 | neuron_model_leaky_integrate.py | pypi |
from six import add_metaclass
from abc import ABCMeta
from abc import abstractmethod
import numpy
import math
@add_metaclass(ABCMeta)
class AbstractSynapseDynamics(object):
NUMPY_CONNECTORS_DTYPE = [("source", "uint32"), ("target", "uint32"),
("weight", "float64"), ("delay", "float... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_dynamics/abstract_synapse_dynamics.py | 0.914452 | 0.524334 | abstract_synapse_dynamics.py | pypi |
from spynnaker.pyNN.models.neuron.synapse_dynamics.abstract_synapse_dynamics \
import AbstractSynapseDynamics
from six import add_metaclass
from abc import ABCMeta
from abc import abstractmethod
@add_metaclass(ABCMeta)
class AbstractPlasticSynapseDynamics(AbstractSynapseDynamics):
"""
AbstractPlasticSyna... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_dynamics/abstract_plastic_synapse_dynamics.py | 0.772874 | 0.408159 | abstract_plastic_synapse_dynamics.py | pypi |
import numpy
import math
from spynnaker.pyNN.models.neuron.synapse_dynamics\
.abstract_static_synapse_dynamics import AbstractStaticSynapseDynamics
class SynapseDynamicsStatic(AbstractStaticSynapseDynamics):
def __init__(self):
AbstractStaticSynapseDynamics.__init__(self)
def is_same_as(self, s... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_dynamics/synapse_dynamics_static.py | 0.67694 | 0.286387 | synapse_dynamics_static.py | pypi |
import math
import numpy
from spynnaker.pyNN.models.neuron.synapse_dynamics\
.abstract_plastic_synapse_dynamics import AbstractPlasticSynapseDynamics
# How large are the time-stamps stored with each event
TIME_STAMP_BYTES = 4
# When not using the MAD scheme, how many pre-synaptic events are buffered
NUM_PRE_SYNA... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_dynamics/synapse_dynamics_stdp.py | 0.835852 | 0.333639 | synapse_dynamics_stdp.py | pypi |
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type \
import AbstractSynapseType
from data_specification.enums.data_type import DataType
import numpy
de... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_types/synapse_type_exponential.py | 0.803983 | 0.436262 | synapse_type_exponential.py | pypi |
from six import add_metaclass
from abc import ABCMeta
from abc import abstractmethod
import math
@add_metaclass(ABCMeta)
class AbstractSynapseType(object):
""" Represents the synapse types supported
"""
@abstractmethod
def get_n_synapse_types(self):
""" Get the number of synapse types support... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_types/abstract_synapse_type.py | 0.863651 | 0.429848 | abstract_synapse_type.py | pypi |
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
import get_exponential_decay_and_init
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type \
import AbstractSynapseType
from spy... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/neuron/synapse_types/synapse_type_dual_exponential.py | 0.778523 | 0.407392 | synapse_type_dual_exponential.py | pypi |
from spinn_machine.utilities.progress_bar import ProgressBar
from spinnman.messages.eieio.data_messages.eieio_data_header \
import EIEIODataHeader
import numpy
import logging
logger = logging.getLogger(__name__)
class EIEIOSpikeRecorder(object):
""" Records spikes using EIEIO format
"""
def __init... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/common/eieio_spike_recorder.py | 0.714728 | 0.296366 | eieio_spike_recorder.py | pypi |
from spinn_front_end_common.utilities import helpful_functions
from spynnaker.pyNN import exceptions
import struct
import logging
import numpy
logger = logging.getLogger(__name__)
_RECORDING_COUNT_SIZE = 4
def get_recording_region_size_in_bytes(
n_machine_time_steps, bytes_per_timestep):
""" Get the si... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/common/recording_utils.py | 0.771499 | 0.471527 | recording_utils.py | pypi |
from spynnaker.pyNN.utilities import constants
from spinn_front_end_common.abstract_models.abstract_changable_after_run \
import AbstractChangableAfterRun
from spynnaker.pyNN.models.common.simple_population_settable \
import SimplePopulationSettable
from spynnaker.pyNN.models.common.eieio_spike_recorder \
i... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/spike_source/spike_source_array.py | 0.633183 | 0.270173 | spike_source_array.py | pypi |
from spynnaker.pyNN.models.spike_source.spike_source_array import \
SpikeSourceArray
from spynnaker.pyNN import utility_calls
# general imports
import numpy
class SpikeSourceFromFile(SpikeSourceArray):
""" SpikeSourceArray that works from a file
"""
def __init__(
self, n_neurons, spike_t... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/models/spike_source/spike_source_from_file.py | 0.714628 | 0.457318 | spike_source_from_file.py | pypi |
from spynnaker.pyNN.utilities.random_stats.random_stats_scipy_impl \
import RandomStatsScipyImpl
from spynnaker.pyNN.utilities.random_stats.random_stats_uniform_impl \
import RandomStatsUniformImpl
from spynnaker.pyNN.models.neural_properties.randomDistributions \
import RandomDistribution
from spinn_front_... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/utilities/utility_calls.py | 0.747339 | 0.465205 | utility_calls.py | pypi |
from spynnaker.pyNN.exceptions import SpynnakerException
class MultiCastCommand(object):
""" A command to be sent to a vertex
"""
def __init__(self, time, key, mask=0xFFFFFFFF, payload=None, repeat=0,
delay_between_repeats=0):
"""
:param time: The time within the simulat... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/utilities/multi_cast_command.py | 0.882168 | 0.571109 | multi_cast_command.py | pypi |
import logging
import re
levels = {
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL,
}
class ConfiguredFilter(object):
def __init__(self, conf):
self._levels = ConfiguredFormatter.construct_logging_parents(... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/utilities/conf/log.py | 0.575827 | 0.152127 | log.py | pypi |
from spinn_machine.utilities.progress_bar import ProgressBar
from spinn_front_end_common.interface.interface_functions.\
front_end_common_partitionable_graph_data_specification_writer \
import FrontEndCommonPartitionableGraphDataSpecificationWriter
from spinn_front_end_common.utilities.utility_objs.executable_... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/overridden_pacman_functions/spynnaker_data_specification_writer.py | 0.651577 | 0.150309 | spynnaker_data_specification_writer.py | pypi |
from pacman.model.partitionable_graph.multi_cast_partitionable_edge \
import MultiCastPartitionableEdge
from pacman.model.partitioned_graph.partitioned_graph import PartitionedGraph
from pacman.model.graph_mapper.graph_mapper \
import GraphMapper
from spinn_machine.utilities.progress_bar import ProgressBar
# s... | /sPyNNaker-2016.001.001.zip/sPyNNaker-2016.001.001/spynnaker/pyNN/overridden_pacman_functions/graph_edge_filter.py | 0.660172 | 0.363393 | graph_edge_filter.py | pypi |
import inspect as __inspect
import logging as __logging
import os as __os
import numpy as __numpy
import spynnaker7
from pyNN.random import NumpyRNG, RandomDistribution
from pyNN.space import \
distance, Space, Line, Grid2D, Grid3D, Cuboid, Sphere, RandomStructure
from spinn_front_end_common.utilities.exceptions ... | /sPyNNaker7-1!4.0.0.tar.gz/sPyNNaker7-1!4.0.0/spynnaker7/pyNN/__init__.py | 0.642208 | 0.22173 | __init__.py | pypi |
from spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_static \
import SynapseDynamicsStatic
from spynnaker.pyNN.models.neuron.abstract_population_vertex \
import AbstractPopulationVertex
from spynnaker.pyNN.models.pynn_projection_common import PyNNProjectionCommon
from spinn_front_end_common.util... | /sPyNNaker7-1!4.0.0.tar.gz/sPyNNaker7-1!4.0.0/spynnaker7/pyNN/models/pynn_projection.py | 0.615203 | 0.397588 | pynn_projection.py | pypi |
from spynnaker.pyNN.models.neural_projections.connectors. \
distance_dependent_probability_connector import \
DistanceDependentProbabilityConnector as \
CommonDistanceDependentProbabilityConnector
from pyNN.space import Space
class DistanceDependentProbabilityConnector(
CommonDistanceDependentProb... | /sPyNNaker7-1!4.0.0.tar.gz/sPyNNaker7-1!4.0.0/spynnaker7/pyNN/models/connectors/distance_dependent_probability_connector.py | 0.924972 | 0.647645 | distance_dependent_probability_connector.py | pypi |
import logging
# fec imports
from spinn_front_end_common.abstract_models \
import AbstractSendMeMulticastCommandsVertex
from spinn_front_end_common.utilities import globals_variables
from spinn_front_end_common.utilities.notification_protocol \
import SocketAddress
from spinn_front_end_common.utility_models im... | /sPyNNaker7-1!4.0.0.tar.gz/sPyNNaker7-1!4.0.0/spynnaker7/pyNN/external_devices/__init__.py | 0.594904 | 0.151812 | __init__.py | pypi |
from pyNN.common import control as pynn_control
from pyNN.random import RandomDistribution, NumpyRNG
from pyNN import __version__ as pynn_version
from spinn_front_end_common.utilities import globals_variables
from spynnaker.pyNN.abstract_spinnaker_common import AbstractSpiNNakerCommon
from spynnaker8 import _version
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/spinnaker.py | 0.697094 | 0.202561 | spinnaker.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.external_devices_models import ExternalDeviceLifControl
class ExternalDeviceLifControlDataHolder(DataHolder):
""" Leaky integrate and fire neuron with an exponentially decaying \
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/external_device_models/external_device_lif_control.py | 0.737914 | 0.331066 | external_device_lif_control.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.external_devices_models.push_bot.push_bot_control_modules \
import PushBotLifEthernet
from spynnaker.pyNN.external_devices_models import ExternalDeviceLifControl
class PushBotLifEthern... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/external_device_models/push_bot/push_bot_control_models/push_bot_lif_ethernet.py | 0.725746 | 0.25139 | push_bot_lif_ethernet.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.external_devices_models.push_bot.push_bot_control_modules \
import PushBotLifSpinnakerLink
from spynnaker.pyNN.external_devices_models import ExternalDeviceLifControl
import logging
lo... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/external_device_models/push_bot/push_bot_control_models/push_bot_lif_spinnaker_link.py | 0.688678 | 0.19252 | push_bot_lif_spinnaker_link.py | pypi |
from datetime import datetime
from spynnaker8.models.variable_cache import VariableCache
class DataCache(object):
""" Storage object to hold all the data to (re)create a Neo Segment
Required because deepcopy does not work on neo Objects
Stores the Data shared by all variable types at the top level
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/data_cache.py | 0.90474 | 0.563078 | data_cache.py | pypi |
from spynnaker.pyNN.models.neural_projections.connectors \
import FixedProbabilityConnector as CommonFixedProbabilityConnector
from pyNN.connectors import FixedProbabilityConnector as \
PyNNFixedProbabilityConnector
class FixedProbabilityConnector(
CommonFixedProbabilityConnector, PyNNFixedProbability... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/connectors/fixed_probability_connector.py | 0.875015 | 0.510435 | fixed_probability_connector.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCurrDualExpBase
class IFCurrDualExpDataHolder(DataHolder):
def __init__(
self,
spikes_per_second=AbstractPopulationVertex.
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_curr_dual_exp_data_holder.py | 0.637934 | 0.41834 | if_curr_dual_exp_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IzkCondExpBase
class IzkCondExpDataHolder(DataHolder):
def __init__(
self,
spikes_per_second=AbstractPopulationVertex.
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/izk_cond_exp_data_holder.py | 0.634204 | 0.296552 | izk_cond_exp_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCurrDelta
class IfCurrDeltaDataHolder(DataHolder):
def __init__(
self, spikes_per_second=AbstractPopulationVertex.
none_pynn_defa... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_curr_delta_data_holder.py | 0.68595 | 0.366051 | if_curr_delta_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCurrExpBase
class IFCurrExpDataHolder(DataHolder):
def __init__(
self,
spikes_per_second=AbstractPopulationVertex.
no... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_curr_exp_data_holder.py | 0.669745 | 0.298683 | if_curr_exp_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCondExpBase
class IFCondExpDataHolder(DataHolder):
def __init__(
self,
spikes_per_second=AbstractPopulationVertex.
no... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_cond_exp_data_holder.py | 0.643777 | 0.304223 | if_cond_exp_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCurrExpCa2Adaptive
class IfCurrExpCa2AdaptiveDataHolder(DataHolder):
def __init__(
self, spikes_per_second=AbstractPopulationVertex.
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_curr_exp_ca2_adaptive_data_holder.py | 0.670824 | 0.395455 | if_curr_exp_ca2_adaptive_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IzkCurrExpBase
class IzkCurrExpDataHolder(DataHolder):
def __init__(
self,
spikes_per_second=AbstractPopulationVertex.
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/izk_curr_exp_data_holder.py | 0.66769 | 0.330958 | izk_curr_exp_data_holder.py | pypi |
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.spike_source import SpikeSourceArray
class SpikeSourceArrayDataHolder(DataHolder):
def __init__(
self,
spike_times=SpikeSourceArray.default_parameters['spike_times'],
port=SpikeSourceArray.none_pynn_default_... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/spike_source_array_data_holder.py | 0.623492 | 0.248888 | spike_source_array_data_holder.py | pypi |
from spynnaker.pyNN.models.neuron import AbstractPopulationVertex
from spynnaker8.utilities import DataHolder
from spynnaker.pyNN.models.neuron.builds import IFCondExpStoc
class IfCondExpStocDataHolder(DataHolder):
def __init__(
self, spikes_per_second=AbstractPopulationVertex.
none_pynn_... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/models/model_data_holders/if_cond_exp_stoc_data_holder.py | 0.652574 | 0.328745 | if_cond_exp_stoc_data_holder.py | pypi |
def compare_spiketrain(spiketrain1, spiketrain2):
"""
Checks two Spiketrains have the exact same data
:param spiketrain1: fgirst spiketrain
:type spiketrain1: SpikeTrain
:param spiketrain2:
:type spiketrain: SpikeTrain
:raises AssertionError
"""
id1 = spiketrain1.annotations['source... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/utilities/neo_compare.py | 0.662469 | 0.621053 | neo_compare.py | pypi |
from quantities import ms
import numpy as np
def convert_analog_signalarray(signal_array, time_unit=ms):
"""
Converts part of a NEO object into told spynakker7 format
:param signal_array: Extended Quantities object
:param time_unit: Data time unit for time index
:rtype ndarray
"""
ids = s... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/utilities/neo_convertor.py | 0.7874 | 0.715399 | neo_convertor.py | pypi |
from neo import Segment, SpikeTrain, AnalogSignalArray
import numpy
import quantities as pq
class SpynnakerNeoSegment(Segment):
""" spynnaker version of the neo segment holding the data elements as
needed
"""
def __init__(
self, name=None, description=None, file_origin=None,
... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/utilities/spynnaker8_neo_segment.py | 0.87232 | 0.54256 | spynnaker8_neo_segment.py | pypi |
import logging
import re
levels = {
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL,
}
class ConfiguredFilter(object):
def __init__(self, conf):
self._levels = ConfiguredFormatter.construct_logging_parents(... | /sPyNNaker8-1!4.0.0.tar.gz/sPyNNaker8-1!4.0.0/spynnaker8/utilities/log.py | 0.564699 | 0.156201 | log.py | pypi |
from pacman.model.partitionable_graph.multi_cast_partitionable_edge\
import MultiCastPartitionableEdge
from spinnman.messages.eieio.eieio_type import EIEIOType
from spynnaker.pyNN import get_spynnaker
from spinn_front_end_common.utility_models.live_packet_gather \
import LivePacketGather
PARTITION_ID = "SPIKE"... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/spynnaker_external_device_plugin_manager.py | 0.72952 | 0.221645 | spynnaker_external_device_plugin_manager.py | pypi |
import os
from spinnman.messages.eieio.eieio_type import EIEIOType
from spynnaker_external_devices_plugin.pyNN.external_devices_models.\
external_cochlea_device import ExternalCochleaDevice
from spynnaker_external_devices_plugin.pyNN.external_devices_models.\
external_fpga_retina_device import ExternalFPGAReti... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/__init__.py | 0.601125 | 0.227781 | __init__.py | pypi |
from spynnaker.pyNN.models.abstract_models\
.abstract_vertex_with_dependent_vertices import \
AbstractVertexWithEdgeToDependentVertices
from spynnaker.pyNN import exceptions
# pacman imports
from pacman.model.constraints.key_allocator_constraints\
.key_allocator_fixed_mask_constraint \
import KeyAlloca... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/external_devices_models/munich_motor_device.py | 0.860852 | 0.378172 | munich_motor_device.py | pypi |
import logging
from spinn_front_end_common.abstract_models.\
abstract_provides_outgoing_partition_constraints import \
AbstractProvidesOutgoingPartitionConstraints
from spynnaker.pyNN.models.abstract_models\
.abstract_send_me_multicast_commands_vertex \
import AbstractSendMeMulticastCommandsVertex
from... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/external_devices_models/external_fpga_retina_device.py | 0.663669 | 0.234505 | external_fpga_retina_device.py | pypi |
from spinn_front_end_common.abstract_models.\
abstract_provides_outgoing_partition_constraints import \
AbstractProvidesOutgoingPartitionConstraints
from spynnaker.pyNN.models.abstract_models\
.abstract_send_me_multicast_commands_vertex \
import AbstractSendMeMulticastCommandsVertex
from pacman.model.co... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/external_devices_models/munich_retina_device.py | 0.81571 | 0.22482 | munich_retina_device.py | pypi |
from collections import namedtuple
from enum import Enum, IntEnum
from spinn_front_end_common.abstract_models.\
abstract_provides_outgoing_partition_constraints import \
AbstractProvidesOutgoingPartitionConstraints
from spynnaker.pyNN.models.abstract_models\
.abstract_send_me_multicast_commands_vertex \
... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/external_devices_models/pushbot_retina_device.py | 0.856483 | 0.181372 | pushbot_retina_device.py | pypi |
from spinn_front_end_common.utilities.connections.live_event_connection \
import LiveEventConnection
# The maximum number of 32-bit keys that will fit in a packet
_MAX_FULL_KEYS_PER_PACKET = 63
# The maximum number of 16-bit keys that will fit in a packet
_MAX_HALF_KEYS_PER_PACKET = 127
class SpynnakerLiveSpik... | /sPyNNakerExternalDevicesPlugin-2016.001.zip/sPyNNakerExternalDevicesPlugin-2016.001/spynnaker_external_devices_plugin/pyNN/connections/spynnaker_live_spikes_connection.py | 0.925781 | 0.312757 | spynnaker_live_spikes_connection.py | pypi |
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.threshold_types.abstract_threshold_type \
import AbstractThresholdType
import numpy... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/threshold_types/threshold_type_maass_stochastic.py | 0.854536 | 0.404272 | threshold_type_maass_stochastic.py | pypi |
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence\
.abstract_timing_dependence import AbstractTimingDependence
from spynnaker.pyNN.models.neuron.plasticity.stdp.synapse_structure\
.synapse_structure_weight_only import SynapseStructureWei... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/plasticity/stdp/timing_dependence/timing_dependence_vogels_2011.py | 0.749729 | 0.463566 | timing_dependence_vogels_2011.py | pypi |
import math
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.plasticity.stdp.timing_dependence.\
abstract_timing_dependence import AbstractTimingDependence
from spynnaker_extra_pynn_models.neuron.plasticity.stdp\
.synapse_structure.synapse_structure_weight_accumulator ... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/plasticity/stdp/timing_dependence/timing_dependence_recurrent.py | 0.698946 | 0.465145 | timing_dependence_recurrent.py | pypi |
from spynnaker.pyNN.models.neuron.abstract_population_vertex import \
AbstractPopulationVertex
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
impo... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/builds/if_cond_exp_stoc.py | 0.749729 | 0.468912 | if_cond_exp_stoc.py | pypi |
from spynnaker.pyNN.models.neuron.abstract_population_vertex import \
AbstractPopulationVertex
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.input_types.input_type_current \
import Input... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/builds/if_curr_delta.py | 0.751283 | 0.52543 | if_curr_delta.py | pypi |
from spynnaker.pyNN.models.neuron.abstract_population_vertex import \
AbstractPopulationVertex
from spynnaker.pyNN.models.neuron.neuron_models\
.neuron_model_leaky_integrate_and_fire \
import NeuronModelLeakyIntegrateAndFire
from spynnaker.pyNN.models.neuron.synapse_types.synapse_type_exponential \
impo... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/builds/if_curr_exp_ca2_adaptive.py | 0.7797 | 0.563918 | if_curr_exp_ca2_adaptive.py | pypi |
from spynnaker.pyNN.utilities import utility_calls
from spynnaker.pyNN.models.neural_properties.neural_parameter \
import NeuronParameter
from data_specification.enums.data_type import DataType
from spynnaker.pyNN.models.neuron.additional_inputs.abstract_additional_input \
import AbstractAdditionalInput
import... | /sPyNNakerExtraModelsPlugin-2016.001.zip/sPyNNakerExtraModelsPlugin-2016.001/spynnaker_extra_pynn_models/neuron/additional_inputs/additional_input_ca2_adaptive.py | 0.781622 | 0.456531 | additional_input_ca2_adaptive.py | pypi |
from contextlib import contextmanager
try:
# this fails in <=2020 versions of Python on OS X 11.x
import OpenGL.GL # noqa: F401
except ImportError:
# Hack for macOS Big Sur
from ._bigsurhack import patch_ctypes
patch_ctypes()
import OpenGL.GL as GL
# pylint: disable=invalid-name
blend = GL.GL_BLEN... | /sPyNNaker_visualisers-1!6.0.0.tar.gz/sPyNNaker_visualisers-1!6.0.0/spynnaker_visualisers/opengl_support.py | 0.813794 | 0.477311 | opengl_support.py | pypi |
from datetime import datetime
import os
import traceback
import OpenGL.error
from spinn_utilities.abstract_base import AbstractBase, abstractmethod
from spynnaker_visualisers.opengl_support import (
viewport, save_matrix, enable, blend, line_smooth, disable, line_width,
blend_function, src_alpha, one_minus_src... | /sPyNNaker_visualisers-1!6.0.0.tar.gz/sPyNNaker_visualisers-1!6.0.0/spynnaker_visualisers/glut_framework.py | 0.802323 | 0.279624 | glut_framework.py | pypi |
# encoding: utf-8
""" A live plotter for the sPyNNaker Sudoku network.
"""
from argparse import ArgumentParser, REMAINDER
import sys
from threading import Condition, RLock
from spinn_utilities.overrides import overrides
from spinn_front_end_common.utilities.connections import LiveEventConnection
from spynnaker_visuali... | /sPyNNaker_visualisers-1!6.0.0.tar.gz/sPyNNaker_visualisers-1!6.0.0/spynnaker_visualisers/sudoku/sudoku_visualiser.py | 0.516108 | 0.233717 | sudoku_visualiser.py | pypi |
import socket
import struct
import sys
import threading
from numpy import dot, cross, array, zeros, cos, sin, uint8, uint32
from numpy.linalg import norm
import spynnaker_visualisers.opengl_support as gl
import spynnaker_visualisers.glut_framework as glut
class RaytraceDrawer(glut.GlutFramework):
__slots__ = (
... | /sPyNNaker_visualisers-1!6.0.0.tar.gz/sPyNNaker_visualisers-1!6.0.0/spynnaker_visualisers/raytrace/drawer.py | 0.479747 | 0.195786 | drawer.py | pypi |
import codecs
from six import PY3, text_type, binary_type
try:
codecs.lookup_error('surrogateescape')
HAS_SURROGATEESCAPE = True
except LookupError:
HAS_SURROGATEESCAPE = False
_COMPOSED_ERROR_HANDLERS = frozenset((None, 'surrogate_or_escape',
'surrogate_or_strict',... | /sa-ansible-container-0.9.3rc2.tar.gz/sa-ansible-container-0.9.3rc2/container/utils/_text.py | 0.766992 | 0.430207 | _text.py | pypi |
import os
from typing import Dict, List, Tuple
import pytorch_lightning as pl
import torch
import wandb
import yaml
from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint
from pytorch_lightning.loggers import WandbLogger
from sa_app.common.utils import init_model_loggers, parse_args
from sa_app.d... | /sa_app-0.0.2-py3-none-any.whl/sa_app/app.py | 0.806662 | 0.378344 | app.py | pypi |
from typing import Dict
import torch
import yaml
from sa_app.common.utils import load_mapping, parse_args
from sa_app.data.data import InitializeDataset
from sa_app.data.data_cleaner import StackedPreprocessor
from transformers import AutoModelForSequenceClassification, AutoTokenizer
class InferenceEngine:
def _... | /sa_app-0.0.2-py3-none-any.whl/sa_app/inference/inference.py | 0.886439 | 0.282354 | inference.py | pypi |
import os.path
from glob import glob
from typing import Dict, Generator, List, Optional, Tuple
import pandas as pd
import torch
import wandb
from sa_app.data.data_cleaner import StackedPreprocessor
from sa_app.data.kaggle_dataset import get_dataset_length, get_file_names, split_dataset
from torch.utils.data import Ite... | /sa_app-0.0.2-py3-none-any.whl/sa_app/data/data.py | 0.756403 | 0.273486 | data.py | pypi |
import re
from abc import ABC, abstractmethod
from typing import Dict, List, Optional
import spacy
from nltk import SnowballStemmer
class BasePreprocessor(ABC):
@abstractmethod
def __call__(self, text: str) -> str:
raise NotImplementedError
class WhitespaceRemovePreprocessor(BasePreprocessor):
... | /sa_app-0.0.2-py3-none-any.whl/sa_app/data/data_cleaner.py | 0.733929 | 0.184088 | data_cleaner.py | pypi |
from typing import Dict
import pandas as pd
from tqdm import tqdm
def get_label_counts(df: pd.DataFrame) -> Dict[str, int]:
label_count = {}
for i in df:
k, v = list(i[0].value_counts().to_dict().items())[0]
if k not in label_count:
label_count[k] = 0
label_count[k] += v
... | /sa_app-0.0.2-py3-none-any.whl/sa_app/data/kaggle_dataset.py | 0.58439 | 0.254497 | kaggle_dataset.py | pypi |
from enum import Enum
from pathlib import Path
from typing import Any, Dict, Optional, Union
import pytorch_lightning as pl
import torch
from sa_app.training.optmizer import LearningRateScheduler, Optimizer
from torch.nn import CrossEntropyLoss
from torchmetrics import Accuracy, MeanMetric, Metric
from transformers im... | /sa_app-0.0.2-py3-none-any.whl/sa_app/training/lightning_model_wrapper.py | 0.960897 | 0.344058 | lightning_model_wrapper.py | pypi |
import threading
import time
from casbin.enforcer import Enforcer
from casbin.util.rwlock import RWLockWrite
class AtomicBool:
def __init__(self, value):
self._lock = threading.Lock()
self._value = value
@property
def value(self):
with self._lock:
return self._value
... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/synced_enforcer.py | 0.833731 | 0.215681 | synced_enforcer.py | pypi |
from functools import partial
from casbin.management_enforcer import ManagementEnforcer
from casbin.util import join_slice, array_remove_duplicates, set_subtract
class Enforcer(ManagementEnforcer):
"""
Enforcer = ManagementEnforcer + RBAC_API + RBAC_WITH_DOMAIN_API
"""
"""creates an enforcer via fi... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/enforcer.py | 0.729616 | 0.161089 | enforcer.py | pypi |
from casbin.internal_enforcer import InternalEnforcer
from casbin.model.policy_op import PolicyOp
class ManagementEnforcer(InternalEnforcer):
"""
ManagementEnforcer = InternalEnforcer + Management API.
"""
def get_all_subjects(self):
"""gets the list of subjects that show up in the current p... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/management_enforcer.py | 0.804828 | 0.400398 | management_enforcer.py | pypi |
from io import StringIO
class Config:
"""represents an implementation of the ConfigInterface"""
# DEFAULT_SECTION specifies the name of a section if no name provided
DEFAULT_SECTION = "default"
# DEFAULT_COMMENT defines what character(s) indicate a comment `#`
DEFAULT_COMMENT = "#"
# DEFAULT... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/config/config.py | 0.88457 | 0.224767 | config.py | pypi |
from .effector import Effector
class AllowOverrideEffector(Effector):
def intermediate_effect(self, effects):
"""returns a intermediate effect based on the matched effects of the enforcer"""
if Effector.ALLOW in effects:
return Effector.ALLOW
return Effector.INDETERMINATE
... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/effect/default_effectors.py | 0.879088 | 0.669151 | default_effectors.py | pypi |
import ipaddress
import re
KEY_MATCH2_PATTERN = re.compile(r"(.*?):[^\/]+(.*?)")
KEY_MATCH3_PATTERN = re.compile(r"(.*?){[^\/]+?}(.*?)")
KEY_MATCH4_PATTERN = re.compile(r"{([^/]+)}")
def key_match(key1, key2):
"""determines whether key1 matches the pattern of key2 (similar to RESTful path), key2 can contain a *... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/util/builtin_operators.py | 0.523177 | 0.294215 | builtin_operators.py | pypi |
import logging
DEFAULT_SEP = ","
class Policy:
def __init__(self):
self.logger = logging.getLogger(__name__)
self.model = {}
def __getitem__(self, item):
return self.model.get(item)
def __setitem__(self, key, value):
self.model[key] = value
def keys(self):
... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/model/policy.py | 0.62395 | 0.282233 | policy.py | pypi |
from . import Assertion
from casbin import util, config
from .policy import Policy
DEFAULT_DOMAIN = ""
DEFAULT_SEPARATOR = "::"
class Model(Policy):
section_name_map = {
"r": "request_definition",
"p": "policy_definition",
"g": "role_definition",
"e": "policy_effect",
"m... | /sa_casbin-1.1.0-py3-none-any.whl/casbin/model/model.py | 0.479504 | 0.276862 | model.py | pypi |
from functools import wraps
from sa_decor import globals as G
class with_session:
def __init__(
self, *, commit: bool = None, force_commit: bool = None, session_maker=None
):
"""Decorate a function and declare it with a named only parameter `session`
`def foo(a, b, c=False, *, session... | /sa_decor-1.0.1.tar.gz/sa_decor-1.0.1/sa_decor/session.py | 0.775732 | 0.253887 | session.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /sa_distributions-0.1.tar.gz/sa_distributions-0.1/sa_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
from collections import namedtuple
from collections.abc import Iterable
from inspect import signature
from itertools import chain
from sqlalchemy import and_, or_, not_, func
from .exceptions import BadFilterFormat, BadSpec
from .models import Field, auto_join, get_model_from_spec, get_default_model, \
get_class_... | /sa-filters-1.3.0.tar.gz/sa-filters-1.3.0/sa_filters/filters.py | 0.838151 | 0.283 | filters.py | pypi |
from sqlalchemy.orm import Load
from .exceptions import BadLoadFormat
from .models import Field, auto_join, get_model_from_spec, get_default_model
class LoadOnly(object):
def __init__(self, load_spec):
self.load_spec = load_spec
try:
field_names = load_spec['fields']
except ... | /sa-filters-1.3.0.tar.gz/sa-filters-1.3.0/sa_filters/loads.py | 0.857619 | 0.284073 | loads.py | pypi |
import math
from collections import namedtuple
from sqlalchemy import select, func
from sqlalchemy.orm import Query
from .exceptions import InvalidPage
def apply_pagination(query, page_number=None, page_size=None, session=None):
"""Apply pagination to a SQLAlchemy query or Select object.
:param page_number... | /sa-filters-1.3.0.tar.gz/sa-filters-1.3.0/sa_filters/pagination.py | 0.804521 | 0.425128 | pagination.py | pypi |
from sqlalchemy.exc import InvalidRequestError
from sqlalchemy.inspection import inspect
from sqlalchemy.orm import mapperlib, Query
from sqlalchemy.sql.util import find_tables
from sqlalchemy import Table
from sqlalchemy.ext.hybrid import hybrid_property, hybrid_method
import types
from .exceptions import BadQuery, F... | /sa-filters-1.3.0.tar.gz/sa-filters-1.3.0/sa_filters/models.py | 0.771672 | 0.367554 | models.py | pypi |
from .exceptions import BadSortFormat
from .models import Field, auto_join, get_model_from_spec, get_default_model
SORT_ASCENDING = 'asc'
SORT_DESCENDING = 'desc'
class Sort(object):
def __init__(self, sort_spec):
self.sort_spec = sort_spec
try:
field_name = sort_spec['field']
... | /sa-filters-1.3.0.tar.gz/sa-filters-1.3.0/sa_filters/sorting.py | 0.796015 | 0.210259 | sorting.py | pypi |
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