def from_yaml(cls: Type[MultipathFading5GTDL], constructor: SafeConstructor, node: MappingNode) -> \
MultipathFading5GTDL:
"""Recall a new `MultipathFading5GTDL` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `MultipathFading5GTDL` serialization.
Returns:
Channel:
Newly created `MultipathFading5GTDL` instance.
The internal references to modems will be `None` and need to be
initialized by the `scenario` YAML constructor.
"""
# Handle empty yaml nodes
if isinstance(node, ScalarNode):
raise RuntimeError(
"5G TDL channel configurations require at least a model specification"
)
state = constructor.construct_mapping(node)
model_type = state.pop('type', None)
if model_type is None:
raise RuntimeError(
"5G TDL channel configurations require at least a model specification"
)
state['model_type'] = cls.TYPE[model_type]
return cls(**state)
def __construct_sequence(constructor: SafeConstructor,
node: SequenceNode) -> Sequence[Any]:
"""A custom sequence generator.
Hacks ruamel to accept node names as tags.
Args:
constructor (SafeConstructor): Handle to the constructor.
node (SequenceNode): A YAML sequence node.
Returns:
Sequence[Any]: A sequence of objects created from `node`.
"""
sequence = []
for node in node.value:
if node.tag in constructor.yaml_constructors:
sequence.append(constructor.yaml_constructors[node.tag](
constructor, node))
else:
sequence.append(
constructor.construct_non_recursive_object(node))
return sequence
def from_yaml(cls: Type[Modem], constructor: SafeConstructor, node: MappingNode) -> Modem:
"""Recall a new `Modem` class instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (MappingNode):
YAML node representing the `Modem` serialization.
Returns:
Modem:
Newly created serializable instance.
"""
state = constructor.construct_mapping(node, deep=True)
encoding: List[Encoder] = state.pop('Encoding', [])
precoding: List[SymbolPrecoder] = state.pop('Precoding', [])
waveform: Optional[WaveformGenerator] = state.pop('Waveform', None)
modem = cls.InitializationWrapper(state)
for encoder in encoding:
modem.encoder_manager.add_encoder(encoder)
for precoder_idx, precoder in enumerate(precoding):
modem.precoding[precoder_idx] = precoder
if waveform is not None:
modem.waveform_generator = waveform
return modem
def from_yaml(cls: Type[Simulation],
constructor: SafeConstructor,
node: MappingNode) -> Simulation:
"""Recall a new `Simulation` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `Simulation` serialization.
Returns:
Simulation:
Newly created `Simulation` instance.
"""
state = constructor.construct_mapping(node, deep=True)
# Launch a global quadriga instance
quadriga_interface: Optional[QuadrigaInterface] = state.pop(QuadrigaInterface.yaml_tag, None)
if quadriga_interface is not None:
QuadrigaInterface.SetGlobalInstance(quadriga_interface)
# Pop configuration sections for "special" treatment
devices: List[SimulatedDevice] = state.pop('Devices', [])
channels: List[Tuple[Channel, int]] = state.pop('Channels', [])
operators: List[Operator] = state.pop('Operators', [])
evaluators: List[Evaluator] = state.pop('Evaluators', [])
dimensions: Dict[str, Any] = state.pop('Dimensions', {})
# Initialize simulation
simulation = cls.InitializationWrapper(state)
# Add devices to the simulation
for device in devices:
simulation.scenario.add_device(device)
# Assign channel models
for channel, channel_position in channels:
output_device_idx = channel_position[0]
input_device_idx = channel_position[1]
simulation.scenario.set_channel(output_device_idx, input_device_idx, channel)
# Register operators
for operator in operators:
simulation.__operators.append(operator)
# Register evaluators
for evaluator in evaluators:
simulation.add_evaluator(evaluator)
# Add simulation dimensions
for dimension_key, dimension_values in dimensions.items():
simulation.new_dimension(dimension_key, dimension_values)
# Return simulation instance recovered from the serialization
return simulation
def from_yaml(cls: Type[SymbolPrecoding], constructor: SafeConstructor,
node: Node) -> SymbolPrecoding:
"""Recall a new `SymbolPrecoding` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `SymbolPrecoding` serialization.
Returns:
SymbolPrecoding:
Newly created `SymbolPrecoding` instance.
"""
state = constructor.construct_sequence(node, deep=True)
symbol_precoding = cls()
symbol_precoding.__symbol_precoders = state
for precoder in symbol_precoding.__symbol_precoders:
precoder.precoding = symbol_precoding
return symbol_precoding
def from_yaml(
cls: Type[AutomaticGainControl], constructor: SafeConstructor,
node: Union[ScalarNode, MappingNode]) -> AutomaticGainControl:
"""Recall a new `AnalogDigitalConverter` instance from YAML.
Args:
constructor (RoundTripConstructor):
A handle to the constructor extracting the YAML information.
node (Union[ScalarNode, MappingNode]):
YAML node representing the `AnalogDigitalConverter` serialization.
Returns:
AnalogDigitalConverter:
Newly created `AnalogDigitalConverter` instance.
"""
if isinstance(node, ScalarNode):
return cls()
state = SafeConstructor.construct_mapping(constructor,
node,
deep=False)
return cls.InitializationWrapper(state)
def from_yaml(cls, constructor, node): # pylint:disable=unused-argument
"""
A way to load the notetaker from a yaml object
"""
new_obj = cls()
new_obj.notes = dict()
yield new_obj
new_dict = SafeConstructor.construct_mapping(constructor,
node,
deep=True)
new_obj.notes.update(new_dict)
new_obj.current_id = max(new_dict.keys()) + 1
for note_id, note in new_dict.items():
for lab in note.labels:
new_obj.label_id_map.setdefault(lab, []).append(note_id)
def from_yaml(cls: Type[WaveformGenerator], constructor: SafeConstructor,
node: Node) -> WaveformGenerator:
"""Recall a new `WaveformGenerator` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `WaveformGenerator` serialization.
Returns:
WaveformGenerator:
Newly created `WaveformGenerator` instance.
"""
return cls.InitializationWrapper(constructor.construct_mapping(node))
def from_yaml(cls: Type[WaveformGeneratorChirpFsk], constructor: SafeConstructor, node: Node)\
-> WaveformGeneratorChirpFsk:
"""Recall a new `WaveformGeneratorChirpFsk` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `WaveformGeneratorChirpFsk` serialization.
Returns:
WaveformGenerator:
Newly created `WaveformGeneratorChirpFsk` instance.
"""
state = constructor.construct_mapping(node)
return cls(**state)
def from_yaml(cls: Type[ShapingFilter], constructor: SafeConstructor,
node: MappingNode) -> ShapingFilter:
"""Recall a new `ShapingFilter` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `ShapingFilter` serialization.
Returns:
ShapingFilter:
Newly created `ShapingFilter` instance.
"""
state = constructor.construct_mapping(node)
return cls(**state)
def from_yaml(cls: Type[QuadrigaInterface], constructor: SafeConstructor,
node: MappingNode) -> QuadrigaInterface:
"""Recall a new `QuadrigaInterface` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `QuadrigaInterface` serialization.
Returns:
QuadrigaInterface:
Newly created `QuadrigaInterface` instance. The internal references to modems will be `None` and need to be
initialized by the `scenario` YAML constructor.
"""
state = constructor.construct_mapping(node)
return cls(**state)
def from_yaml(cls: Type[MatchedFilterJcas], constructor: SafeConstructor,
node: MappingNode) -> MatchedFilterJcas:
"""Recall a new `MatchedFilterJcas` class instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (MappingNode):
YAML node representing the `MatchedFilterJcas` serialization.
Returns:
MatchedFilterJcas:
Newly created serializable instance.
"""
state = constructor.construct_mapping(node)
return cls.InitializationWrapper(state)
def from_yaml(cls: Type[Synchronization], constructor: SafeConstructor,
node: Node) -> Synchronization:
"""Recall a new `Synchronization` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `Synchronization` serialization.
Returns:
Synchronization:
Newly created `Synchronization` instance.
"""
# For scalar nodes, initialize the synchronization routine with default parameters
if isinstance(node, ScalarNode):
return cls()
return cls.InitializationWrapper(constructor.construct_mapping(node))
def from_yaml(cls: Type[SimulatedDevice], constructor: SafeConstructor, node: MappingNode) -> SimulatedDevice:
"""Recall a new `SimulatedDevice` class instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (MappingNode):
YAML node representing the `SimulatedDevice` serialization.
Returns:
SimulatedDevice:
Newly created serializable instance.
"""
if isinstance(node, ScalarNode):
return cls()
state = constructor.construct_mapping(node)
return cls.InitializationWrapper(state)
def from_yaml(cls: Type[BlockInterleaver], constructor: SafeConstructor,
node: MappingNode) -> BlockInterleaver:
"""Recall a new `Interleaver` encoder from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `Interleaver` serialization.
Returns:
BlockInterleaver:
Newly created `Interleaver` instance.
Note that the created instance is floating by default.
:meta private:
"""
state = constructor.construct_mapping(node)
return cls(**state)
def __construct_map(constructor: SafeConstructor,
node: MappingNode) -> Mapping[MappingNode, Any]:
"""A custom map generator.
Hacks ruamel to accept node names as tags.
Args:
constructor (SafeConstructor): Handle to the constructor.
node (MappingNode): A YAML map node.
Returns:
Mapping[MappingNode, Any]: A sequence of objects created from `node`.
"""
tag = node.value[0][0].value
if tag in constructor.yaml_constructors:
return constructor.yaml_constructors[tag](constructor,
node.value[0][1])
else:
return constructor.construct_mapping(node, deep=True)
def from_yaml(cls: Type[CyclicRedundancyCheck],
constructor: SafeConstructor,
node: MappingNode) -> CyclicRedundancyCheck:
"""Recall a new `CyclicRedundancyCheck` from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `CyclicRedundancyCheck` serialization.
Returns:
CyclicRedundancyCheck:
Newly created `CyclicRedundancyCheck` instance.
Note that the created instance is floating by default.
:meta private:
"""
state = constructor.construct_mapping(node)
return cls(**state)
def from_yaml(cls: Type[RandomNode], constructor: SafeConstructor,
node: Union[ScalarNode, MappingNode]) -> RandomNode:
"""Recall a new `RandomNode` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `RandomNode` serialization.
Returns:
RandomNode:
Newly created `RandomNode` instance.
"""
if isinstance(node, ScalarNode):
return cls()
state = constructor.construct_mapping(node)
# Just mask the seed state if provided
state['random_generator'] = state.pop('seed', None)
def from_yaml(cls: Type[Serializable], constructor: SafeConstructor,
node: Node) -> Serializable:
"""Recall a new serializable class instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `Channel` serialization.
Returns:
Serializable:
The de-serialized object.
"""
# Handle empty yaml nodes
if isinstance(node, ScalarNode):
return cls()
return cls.InitializationWrapper(constructor.construct_mapping(node))
def from_yaml(cls: Type[MultipathFadingExponential], constructor: SafeConstructor, node: MappingNode) -> \
MultipathFadingExponential:
"""Recall a new `MultipathFadingExponential` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `MultipathFadingExponential` serialization.
Returns:
Channel:
Newly created `MultipathFadingExponential` instance.
The internal references to modems will be `None` and need to be
initialized by the `scenario` YAML constructor.
"""
# Handle empty yaml nodes
if isinstance(node, ScalarNode):
return cls()
state = constructor.construct_mapping(node)
return cls(**state)
def from_yaml(cls: Type[WaveformGeneratorPskQam],
constructor: SafeConstructor,
node: MappingNode) -> WaveformGeneratorPskQam:
"""Recall a new `WaveformGeneratorPskQam` instance from YAML.
Args:
constructor (SafeConstructor):
A handle to the constructor extracting the YAML information.
node (Node):
YAML node representing the `WaveformGeneratorPskQam` serialization.
Returns:
WaveformGeneratorPskQam:
Newly created `WaveformGeneratorPskQam` instance.
"""
state = constructor.construct_mapping(node)
shaping_filter = state.pop('filter', None)
generator = cls.InitializationWrapper(state)
if shaping_filter is not None:
# TODO: Patch-through for sampling rate
samples_per_symbol = generator.oversampling_factor # int(1e3 / generator.symbol_rate)
shaping_filter = ShapingFilter(
**shaping_filter, samples_per_symbol=samples_per_symbol)
if shaping_filter.filter_type == ShapingFilter.FilterType.FMCW:
bandwidth_factor = generator.chirp_bandwidth / generator.symbol_rate
else:
bandwidth_factor = 1.
tx_filter = ShapingFilter(
shaping_filter.filter_type,
samples_per_symbol,
is_matched=False,
length_in_symbols=shaping_filter.length_in_symbols,
roll_off=shaping_filter.roll_off,
bandwidth_factor=bandwidth_factor)
# TODO: Check if chirp bandwidth is identical to full BW)
if shaping_filter.filter_type == ShapingFilter.FilterType.RAISED_COSINE:
# for raised cosine, receive filter is a low-pass filter with
# bandwidth Rs(1+roll-off)/2
rx_filter = ShapingFilter(
ShapingFilter.FilterType.RAISED_COSINE,
samples_per_symbol,
length_in_symbols=shaping_filter.length_in_symbols,
roll_off=0,
bandwidth_factor=1. + shaping_filter.roll_off)
else:
# for all other filter types, receive filter is a matched filter
rx_filter = ShapingFilter(
shaping_filter.filter_type,
samples_per_symbol,
is_matched=True,
length_in_symbols=shaping_filter.length_in_symbols,
roll_off=shaping_filter.roll_off,
bandwidth_factor=bandwidth_factor)
generator.tx_filter = tx_filter
generator.rx_filter = rx_filter
return generator
# noinspection PyMissingOrEmptyDocstring,PyMissingTypeHints,PyUnusedLocal
@yaml_object(yaml_parser)
class UID(UnsignedCType):
"""
This class represent an unsigned ID. Unsigned ID's are always unsigned integer constants.
They are always of the machine's `unsigned` size.
"""
yaml_tag = u'!u-id'
# noinspection PyMissingOrEmptyDocstring,PyMissingTypeHints,PyUnusedLocal
@yaml_object(yaml_parser)
class Unsigned(UnsignedCType):
"""
This class represent an unsigned value. Unsigned values are always unsigned integer constants.
They are always of the machine's `unsigned` size.
"""
yaml_tag = u'!unsigned'
# ===--------------------------------------------------------------------------------------------------------------=== #
SafeConstructor.add_constructor(u'tag:yaml.org,2002:seq',
CustomSafeConstructor.construct_yaml_seq)
SafeConstructor.add_constructor(u'tag:yaml.org,2002:str',
CustomSafeConstructor.construct_yaml_str)
# ===--------------------------------------------------------------------------------------------------------------=== #