piel.tools.sax.netlist
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This module aims to extend sax from standard netlist operations to include more complex operations that enable connectivity.
Module Contents#
Functions#
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This function converts an address of an instance with particular parameter values in the form: |
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This function returns the recursive location of any matching |
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Returns a dictionary of all instances of a given component in a recursive netlist. |
Returns a list of all instances with a given prefix in a recursive netlist. |
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This function returns an active component list with a tuple mapping of the location of the active component within the recursive netlist and corresponding model. It will recursively look within a netlist to locate what models use a particular component model. At each stage of recursion, it will compose a list of the elements that implement this matching model in order to relate the model to the instance, and hence the netlist address of the component that needs to be updated in order to functionally implement the model. |
- address_value_dictionary_to_function_parameter_dictionary(address_value_dictionary: dict, parameter_key: str)[source]#
This function converts an address of an instance with particular parameter values in the form:
{(‘component_lattice_gener_fb8c4da8’, ‘mzi_1’, ‘sxt’): 0, (‘component_lattice_gener_fb8c4da8’, ‘mzi_5’, ‘sxt’): 0}
to
{‘mzi_1’: {‘sxt’: {parameter_key: 0}}, (‘mzi_5’, {‘sxt’: {parameter_key: 0}}}
- compose_recursive_instance_location(recursive_netlist: dict, top_level_instance_name: str, required_models: list, target_component_prefix: str, models: dict)[source]#
This function returns the recursive location of any matching
target_component_prefix
instances within therecursive_netlist
. A function that returns the mapping of thematched_component
in the corresponding netlist at any particular level of recursion. This function iterates over a particular level of recursion of a netlist. It returns a list of the missing required components, and updates a dictionary of models that contains a particular matching component. It returns the corresponding list of instances of a particular component at that level of recursion, so that it can be appended upon in order to construct the location of the corresponding matching elements.If
required_models
is an empty list, it means no recursion is required and the function is complete. If arequired_model_i
inrequired_models
matchestarget_component_prefix
, then no more recursion is required down the component function.The
recursive_netlist
should contain all the missing composed models that are not provided in the main models dictionary. If not, then we need to require the user to input the missing model that cannot be extracted from the composed netlist.We know when a model is composed, and when it is already provided at every level of recursion based on the
models
dictionary that gets updated at each level of recursion with the corresponding models of that level, and therequired_models
down itself.However, a main question appears on how to do the recursion. There needs to be a flag that determines that the recursion is complete. However, this is only valid for every particular component in the
required_models
list. Every component might have missing component. This means that this recursion begins component by component, updating therequired_models
list until all of them have been composed from the recursion or it is determined that is it missing fully.It would be ideal to access the particular component that needs to be implemented.
Returns a tuple of
model_composition_mapping, instance_composition_mapping, target_component_mapping
in the form of- ({‘mzi_214beef3’: [‘straight_heater_metal_s_ad3c1693’]},
- {‘mzi_214beef3’: [‘mzi_1’, ‘mzi_5’],
‘mzi_d46c281f’: [‘mzi_2’, ‘mzi_3’, ‘mzi_4’]})
- get_component_instances(recursive_netlist: dict, top_level_prefix: str, component_name_prefix: str)[source]#
Returns a dictionary of all instances of a given component in a recursive netlist.
- Parameters:
recursive_netlist – The recursive netlist to search.
top_level_prefix – The prefix of the top level instance.
component_name_prefix – The name of the component to search for.
- Returns:
A dictionary of all instances of the given component.
- get_netlist_instances_by_prefix(recursive_netlist: dict, instance_prefix: str) str [source]#
Returns a list of all instances with a given prefix in a recursive netlist.
- Parameters:
recursive_netlist – The recursive netlist to search.
instance_prefix – The prefix to search for.
- Returns:
A list of all instances with the given prefix.
- get_matched_model_recursive_netlist_instances(recursive_netlist: dict, top_level_instance_prefix: str, target_component_prefix: str, models: dict | None = None) list[tuple] [source]#
This function returns an active component list with a tuple mapping of the location of the active component within the recursive netlist and corresponding model. It will recursively look within a netlist to locate what models use a particular component model. At each stage of recursion, it will compose a list of the elements that implement this matching model in order to relate the model to the instance, and hence the netlist address of the component that needs to be updated in order to functionally implement the model.
It takes in as a set of parameters the recursive_netlist generated by a
gdsfactory
netlist implementation.Returns a list of tuples, that correspond to the phases applied with the corresponding component paths at multiple levels of recursion. eg. [(“component_lattice_gener_fb8c4da8”, “mzi_1”, “sxt”), (“component_lattice_gener_fb8c4da8”, “mzi_5”, “sxt”)] and these are our keys to our sax circuit decomposition.