from __future__ import annotations
import json
import logging
import copy
import abc
from collections import OrderedDict
from typing import (
Any, Dict, Tuple,
Optional, Union, Callable,
Iterator, Generator,
TypeVar, TYPE_CHECKING,
)
from types import MappingProxyType
from cosapp.patterns import visitor
from cosapp.ports.enum import PortType, Scope, Validity
from cosapp.ports.exceptions import ScopeError
from cosapp.ports.variable import RangeValue, Types, BaseVariable, Variable
from cosapp.ports.mode_variable import ModeVariable
from cosapp.utils.distributions import Distribution
from cosapp.utils.helpers import check_arg
from cosapp.utils.naming import NameChecker
from cosapp.utils.json import jsonify
if TYPE_CHECKING:
from cosapp.systems import System
logger = logging.getLogger(__name__)
T = TypeVar("T")
[docs]
class BasePort(visitor.Component, metaclass=abc.ABCMeta):
"""Base class for ports, containers gathering variables.
Common users should not use this class directly.
Parameters
----------
name : str
Port name
direction : {PortType.IN, PortType.OUT}
Port direction
"""
_name_check = NameChecker()
def __init__(self, name: str, direction: PortType) -> None:
"""`BasePort` constructor.
Parameters
----------
name : str
Port name
direction : {PortType.IN, PortType.OUT}
Port direction
"""
if not isinstance(direction, PortType):
raise TypeError(f"Direction must be PortType; got {direction}.")
from cosapp.systems import System
self.__is_clean = False
self._variables: Dict[str, BaseVariable] = OrderedDict()
self._name: str = self._name_check(name)
self._desc: str = ""
self._direction: PortType = direction
self._owner: Optional[System] = None
self.__clearance: Scope = None
self.scope_clearance = Scope.PRIVATE
[docs]
def accept(self, visitor: visitor.Visitor) -> None:
"""Specifies course of action when visited by `visitor`"""
visitor.visit_port(self)
@property
def owner(self) -> System:
"""System : `System` owning the port."""
return self._owner
@owner.setter
def owner(self, new_owner: System):
from cosapp.systems import System
if not isinstance(new_owner, System):
raise TypeError(f"Port owner must be a `System`; got {new_owner!r}.")
self._owner = new_owner
self.__update_filter()
@property
def name(self) -> str:
"""str : Port name"""
return self._name
@property
def contextual_name(self) -> str:
"""str : Join port owner name and port name.
If the port has no owner, the port name is returned.
"""
owner = self._owner
return self._name if owner is None else f"{owner.name}.{self._name}"
[docs]
def full_name(self, trim_root=False) -> str:
"""Returns full name up to root owner.
Parameters
----------
trim_root : bool (optional, default False)
Exclude root owner name if True.
Returns
-------
str
The port full name
"""
owner = self.owner
path = []
if owner is not None:
path = owner.path_namelist()
if trim_root:
path = path[1:]
path.append(self.name)
return ".".join(path)
@property
def description(self) -> str:
"""str: Port description"""
return self._desc
@description.setter
def description(self, desc: str) -> None:
check_arg(desc, 'description', str)
self._desc = desc
@property
def direction(self) -> PortType:
""":obj:`PortType.IN` or :obj:`PortType.OUT` : Port direction"""
return self._direction
@property
def is_input(self) -> bool:
"""bool: True if port is an input, False otherwise."""
return self._direction == PortType.IN
@property
def is_output(self) -> bool:
"""bool: True if port is an output, False otherwise."""
return self._direction == PortType.OUT
@property
def is_clean(self) -> bool:
return self.__is_clean
[docs]
def set_clean(self) -> None:
"""Set port as 'clean'."""
self.__is_clean = True
[docs]
def touch(self) -> None:
"""Set port as 'dirty'."""
self.__is_clean = False
if self._owner and self.is_input:
self._owner.touch()
def __repr__(self) -> str:
return f"{type(self).__name__}: {self.serialize_data()!r}"
def _repr_markdown_(self) -> str:
"""Returns the representation of this port variables in Markdown format.
Returns
-------
str
Markdown formatted representation
"""
from cosapp.tools.views.markdown import port_to_md
return port_to_md(self)
def __json__(self) -> Dict[str, Any]:
"""Creates a JSONable dictionary representation of the object.
Break circular dependencies by not relying
on a `__getstate__` call.
Returns
-------
Dict[str, Any]
The dictionary
"""
return jsonify(dict((name, variable.__json__()) for name, variable in self._variables.items()))
def __reduce_ex__(self, _: Any) -> tuple[Callable, tuple, dict]:
"""Defines how to serialize/deserialize the object.
Parameters
----------
_ : Any
Protocol used
Returns
-------
tuple[Callable, tuple, dict]
A tuple of the reconstruction method, the arguments to pass to
this method, and the state of the object
"""
state = {"owner": self._owner}
state.update({key: (val, self._variables[key]) for (key, val) in self.items()})
return (
type(self),
(
self.name,
self.direction,
),
state,
)
def __setstate__(self, state: Dict[str, Any]) -> None:
"""Sets the object from a provided state.
Parameters
----------
state : Dict[str, Any]
State
"""
self._owner = state.pop("owner")
for name, (val, var) in state.items():
if isinstance(self, ExtensiblePort):
self.add_variable(name, val)
else:
self[name] = val
self._variables[name] = var
# print(var, var.distribution)
[docs]
def serialize_data(self) -> Dict[str, Any]:
"""Serialize the variable values in a dictionary.
Returns
-------
Dict[str, Any]
The dictionary (variable name, value)
"""
return dict(self.items())
[docs]
def add_variable(
self,
name: str,
value: Any = 1,
unit: str = "",
dtype: Types = None,
valid_range: RangeValue = None,
invalid_comment: str = "",
limits: RangeValue = None,
out_of_limits_comment: str = "",
desc: str = "",
distribution: Optional[Distribution] = None,
scope: Scope = Scope.PRIVATE,
) -> None:
"""Add a variable to the port.
The `valid_range` defines the range of value for which a model is known to behave correctly.
The `limits` are at least as large as the validity range.
Parameters
----------
name : str
Name of the variable
value : Any, optional
Value of the variable; default 1
unit : str, optional
Variable unit; default empty string (i.e. dimensionless)
dtype : type or iterable of type, optional
Variable type; default None (i.e. type of initial value)
valid_range : Tuple[Any, Any] or Tuple[Tuple], optional
Validity range of the variable; default None (i.e. all values are valid)
invalid_comment : str, optional
Comment to show in case the value is not valid; default ''
limits : Tuple[Any, Any] or Tuple[Tuple], optional
Limits over which the use of the model is wrong; default valid_range
out_of_limits_comment : str, optional
Comment to show in case the value is not valid; default ''
desc : str, optional
Variable description; default ''
distribution : Distribution, optional
Probability distribution of the variable; default None (no distribution)
scope : Scope {PRIVATE, PROTECTED, PUBLIC}, optional
Variable visibility; default PRIVATE
"""
if name in self:
logger.warning(
f"Variable {name} already exists in port {self.contextual_name}."
" It will be overwritten."
)
# Value must be set before creating variable as validation in Variable needs it
self._variables[name] = variable = Variable(
name,
self,
value,
unit,
dtype,
valid_range,
invalid_comment,
limits,
out_of_limits_comment,
desc,
distribution,
scope,
)
value = variable.filter_value(value)
# For efficiency reasons, values are stored as port attributes
setattr(self, name, value)
# TODO should we override __setattr__ to forward setting to the source port? and/or raise an
# error if it is not possible - for example if the source is an output variable
def __set_notype_checking(self, key, value):
super().__setattr__(key, value)
if self.__is_clean and key in self._variables:
self.touch()
[docs]
def validate(self, key: str, value: Any) -> None:
"""Check if a variable is in the scope of the user and the type is valid.
Parameters
----------
key : str
Name of the variable to test
value : Any
Value to validate
Raises
------
ScopeError
If the variable is not visible for the user
TypeError
If the value has an unauthorized type
"""
# Check scope
if self.__out_of_scope(key):
raise ScopeError(f"Cannot set out-of-scope variable {key!r}.")
if value is not None:
var_type = self._variables[key].dtype
ok = var_type is None or isinstance(value, var_type)
if not ok:
raise TypeError(
"Trying to set {}.{} of type {} with {}.".format(
self.contextual_name, key, var_type, type(value)
)
)
def __set_variable(self, key, value):
"""Set the variable `key` with `value`.
Parameters
----------
key : str
Name of the variable to be set
value : Any
Value to set
"""
if key.startswith("_"):
super().__setattr__(key, value)
elif key in self._variables:
self.validate(key, value)
self.__set_notype_checking(key, value)
elif hasattr(self, key):
super().__setattr__(key, value)
else:
raise AttributeError(
f"Port variable {self.contextual_name}.{key} can only be created using method 'add_variable'."
)
__setattr__ = __set_variable
[docs]
@staticmethod
def set_type_checking(activate: bool) -> None:
"""(Un)set type checking when affecting port variables.
By default type checking is activated.
Parameters
----------
activate : bool
True to activate type checking, False to deactivate
"""
if activate:
BasePort.__setattr__ = BasePort.__set_variable
else:
BasePort.__setattr__ = BasePort.__set_notype_checking
def __contains__(self, item: str) -> bool:
return item in self._variables
def __getitem__(self, item: str) -> Any:
try:
return getattr(self, item)
except AttributeError:
raise KeyError(f"Variable or property {item} does not exist in Port {self}.")
def __setitem__(self, key: str, value: Any) -> None:
if key in self._variables:
setattr(self, key, value)
else:
raise KeyError(f"Variable {key} does not exist in Port {self}.")
def __iter__(self) -> Iterator[str]:
return iter(self._variables)
def __len__(self) -> int:
return len(self._variables)
[docs]
def items(self) -> Generator[Tuple[str, Any], None, None]:
"""Dictionary-like item generator yielding (name, value) tuples
for all port variables."""
for name in self._variables:
yield (name, getattr(self, name))
[docs]
def set_values(self, **modifications) -> None:
"""Generic setter for port variable values, offering a
convenient way of modifying multiple variables at once.
Parameters:
-----------
**modifications:
Variable names and values given as keyword arguments.
Examples:
---------
>>> from cosapp.base import Port, System
>>>
>>> class DummyPort(Port):
>>> def setup(self):
>>> self.add_variable('a')
>>> self.add_variable('b')
>>>
>>> class DummySystem(System):
>>> def setup(self):
>>> self.add_input(DummyPort, 'p_in')
>>> self.add_output(DummyPort, 'p_out')
>>>
>>> def compute(self):
>>> p_in = self.p_in
>>> self.p_out.set_values(
>>> a = p_in.b,
>>> b = p_in.a - p_in.b,
>>> )
"""
for name, value in modifications.items():
setattr(self, name, value)
@property
def scope_clearance(self) -> Scope:
"""Scope: Current clearance level of the port.
Determines the set of read-only port variables."""
return self.__clearance
@scope_clearance.setter
def scope_clearance(self, user_scope: Scope) -> None:
check_arg(user_scope, "scope_clearance", Scope)
self.__clearance = user_scope
self.__update_filter()
def __update_filter(self) -> None:
"""Update the implementation of method `out_of_scope`
according to port's clearance level and owner."""
if self._owner is None:
criterion = lambda name: False
else:
read_only = [
name for (name, variable) in self._variables.items()
if variable.scope > self.__clearance
]
criterion = lambda name: not self._owner.is_running() and name in read_only
self.__out_of_scope = criterion
[docs]
def out_of_scope(self, name: str) -> bool:
"""
Asserts if current scope `scope_clearance` is high enough to
allow the modification of port variable `name`.
Parameters
----------
name : str
Variable name to test
Returns
-------
bool
Is modification forbidden?
The behavior of this function is set by method `scope_clearance()`.
By default, clearance level is set to `Scope.PUBLIC`.
Examples
--------
>>> port = Port("myPort", PortType.IN)
>>> port.add_variable("x", 1.5, scope=Scope.PUBLIC)
>>> port.add_variable("y", 0.2, scope=Scope.PROTECTED)
>>> port.add_variable("z", 0.3, scope=Scope.PRIVATE)
>>>
>>> port.scope_clearance(Scope.PROTECTED) # only `port.x` and `port.y` can be modified
>>> assert not port.out_of_scope("x")
>>> assert not port.out_of_scope("y")
>>> assert port.out_of_scope("z")
>>>
>>> port.scope_clearance(Scope.PUBLIC) # only `port.x` can be modified
>>> assert not port.out_of_scope("x")
>>> assert port.out_of_scope("y")
>>> assert port.out_of_scope("z")
"""
return self.__out_of_scope(name)
[docs]
def get_details(self, name: Optional[str] = None) -> Union[Dict[str, BaseVariable], BaseVariable]:
"""Return the variable(s).
Parameters
----------
name : str, optional
Name of the variable looked for; default None (all variable are returned).
Returns
-------
types.MappingProxyType[str, cosapp.ports.variable.Variable] or cosapp.ports.variable.Variable
The sought variable, or a read-only view on all port variables.
"""
if name is None:
return MappingProxyType(self._variables)
else:
return self._variables[name]
[docs]
def variables(self) -> Iterator[BaseVariable]:
"""Iterator over port `BaseVariable` instances."""
return self._variables.values()
[docs]
def check(self, name: Optional[str] = None) -> Union[Dict[str, Validity], Validity]:
"""Get the variable value validity.
If `name` is not provided, returns a dictionary with the validity of all variables. Else
only, the validity for the given variable will be returned.
Parameters
----------
name : str, optional
Variable name; default None = All variables will be tested
Returns
-------
Dict[str, Validity] or Validity
(Dictionary of) the variable(s) value validity
"""
if name is None:
return dict(
(name, variable.is_valid())
for name, variable in self._variables.items()
)
else:
return self._variables[name].is_valid()
[docs]
def get_validity_ground(self,
status: Validity,
name: Optional[str] = None,
) -> Union[Dict[str, str], str]:
# TODO unit tests
"""Get the ground arguments used to established the variable validity range.
The status `Validity.OK` has no ground arguments.
Parameters
----------
status : Validity.{OK, WARNING, ERROR}
Validity status for which the reasons are looked for.
name : str, optional
Variable name; default None = All variables will be tested
Returns
-------
Dict[str, str] or str
(Dictionary of) the variable(s) validity ground
"""
if name is None:
return dict(
(name, variable.get_validity_comment(status))
for name, variable in self._variables.items()
)
else:
return self._variables[name].get_validity_comment(status)
[docs]
def copy(
self,
name: Optional[str] = None,
direction: Optional[PortType] = None,
):
"""Duplicates the port.
Parameters
----------
name : str, optional
Name of the duplicated port; default original port name
direction : {PortType.IN, PortType.OUT}, optional
Direction of the duplicated port; default original direction
Returns
-------
Port
The copy of the current port
"""
cls = type(self)
port = cls(
name or self.name,
direction or self.direction,
)
for name in self._variables:
port.copy_variable_from(self, name)
return port
[docs]
def copy_variable_from(self, port: BasePort, name: str, alias: Optional[str]=None) -> None:
"""Copy variable `name` from another port into variable `alias`.
Parameters
----------
port : BasePort
Port from which variable is copied
name : str
Variable name from source port.
alias : str, optional
Variable name in current port (same as `name` if not specified).
"""
if alias is None:
alias = name
variable = port._variables[name]
value = getattr(port, name)
self._variables[alias] = variable.copy(self, alias)
setattr(self, alias, copy.copy(value))
[docs]
def morph_as(self, port: BasePort) -> None:
"""Morph this port into the provided port.
Morphing a port is useful when converting a `System` in something equivalent. The morphing
goal is to preserve connections and adapt the port content if needed.
Parameters
----------
port [BasePort]:
The port to morph into
"""
# TODO unit test for variable details when morphing
for varname in set(self) - set(port):
self.pop_variable(varname)
new_varnames = set(port) - set(self)
for varname in new_varnames:
variable = port._variables[varname]
self.add_variable(
varname,
getattr(port, varname),
unit=variable.unit,
dtype=variable.dtype,
desc=variable.description,
valid_range=variable.valid_range,
invalid_comment=variable.invalid_comment,
limits=variable.limits,
out_of_limits_comment=variable.out_of_limits_comment,
distribution=variable.distribution,
scope=variable.scope,
)
[docs]
def pop_variable(self, varname: str) -> BaseVariable:
"""Removes a variable from the port.
Parameters
----------
- varname [str]:
Name of the variable to be removed
Returns
-------
- variable [BaseVariable]:
The popped variable
Raises
------
`AttributeError` if the variable does not exist.
"""
try:
variable = self._variables.pop(varname)
except KeyError:
raise AttributeError(
f"Variable {varname!r} does not exist in port {self.contextual_name}"
)
delattr(self, varname)
return variable
[docs]
def to_dict(
self, *, with_types: bool, value_only: bool
) -> Dict[str, Union[str, Tuple[Dict[str, str], str]]]:
"""Convert this port in a dictionary.
Parameters
----------
with_types : bool
Flag to export also output ports and its class name (default: False).
Returns
-------
dict
The dictionary representing this port.
"""
state = {"name": self.name}
if with_types and self.name not in ["inwards", "outwards"]:
state["__class__"] = self.__class__.__qualname__
if value_only:
state["variables"] = {name: value for name, value in self.items()}
else:
state["variables"] = {name: var.to_dict() for name, var in self._variables.items()}
return state
[docs]
def to_json(self, indent=2, sort_keys=True) -> str:
"""Return a string in JSON format representing the `System`.
Parameters
----------
indent : int, optional
Indentation of the JSON string (default: 2)
sort_keys : bool, optional
Sort keys in alphabetic order (default: True)
Returns
-------
str
String in JSON format
"""
return json.dumps(self.__json__(), indent=indent, sort_keys=sort_keys)
[docs]
class ModeVarPort(BasePort):
"""Class used for the local storage of mode variables."""
# TODO: Forbid the use of add_variable
# TODO: Redefine exports/serializations
# TODO: Typing of _variables is ambiguous
[docs]
def add_mode_variable(
self,
name: str,
value: Optional[Any] = None,
unit: str = "",
dtype: Types = None,
desc: str = "",
init: Optional[Any] = None,
scope: Scope = Scope.PRIVATE,
) -> None:
"""Add a mode variable to the port.
Parameters
----------
name : str
Name of the variable
value : Any, optional
Value of the variable; default 1
unit : str, optional
Variable unit; default empty string (i.e. dimensionless)
dtype : type or iterable of type, optional
Variable type; default None (i.e. type of initial value)
desc : str, optional
Variable description; default ''
scope : Scope {PRIVATE, PROTECTED, PUBLIC}, optional
Variable visibility; default PRIVATE
"""
if name in self:
logger.warning(
f"Variable {name} already exists in multimode port {self.contextual_name}."
" It will be overwritten."
)
# Value must be set before creating variable as validation in Variable needs it
if init is not None and value is not None and self.is_input:
logger.warning(
f"Initial value {init} is discarded for input mode variable {name!r}"
)
init = None
self._variables[name] = variable = ModeVariable(
name = name,
port = self,
value = value,
unit = unit,
dtype = dtype,
desc = desc,
init = init,
scope = scope,
)
if value is None:
value = variable.init_value()
value = variable.filter_value(value)
# For efficiency reasons, variables are stored as port attributes
setattr(self, name, value)
[docs]
class ExtensiblePort(BasePort):
"""Class describing ports with a varying number of variables."""
pass
[docs]
class Port(BasePort):
"""A `Port` is a container gathering variables tightly linked.
An optional dictionary may be specified to overwrite variable value and some of their
metadata. Values of the dictionary may be of two kinds:
- Only the new value
- A dictionary with new value and/or new details
If the value or a metadata is set to `None`, the default value will be kept.
Parameters
----------
name : str
`Port` name
direction : {PortType.IN, PortType.OUT}
`Port` direction
variables : Dict[str, Any], optional
Dictionary of variables with their value and details; default: None = default value
Attributes
----------
_locked : bool
if True, `add_variable` is deactivated. This is the default behavior outside the `setup`
function.
Examples
--------
Use this class by subclassing it:
>>> class FlowPort(Port):
>>> def setup(self):
>>> self.add_variable('Pt', 101325., unit='Pa')
>>> self.add_variable('Tt', 273.15, unit='K')
>>> self.add_variable('W', 1.0, unit='kg/s')
>>>
>>> p = FlowPort('myPort', PortType.IN)
>>> # Overwrite value and some details
>>> f = FlowPort(
>>> 'myPort2',
>>> PortType.OUT,
>>> {
>>> 'Pt': 10e6,
>>> 'W': {
>>> 'value': 10., # New value
>>> 'unit': 'lbm/s', # New unit - should be compatible of the original one
>>> 'valid_range': (0., None), # Updated validated range
>>> 'invalid_comment': 'Flow should be positive', # Comment if out of validated range
>>> 'limits': None, # Limits
>>> 'out_of_limits_comment': '', # Comment if out of limits
>>> }
>>> }
>>> )
"""
def __init__(
self,
name: str,
direction: PortType,
variables: Optional[Dict[str, Any]] = None,
) -> None:
"""`Port` constructor.
An optional dictionary may be specified to overwrite variable value and some of their
metadata. Values of the dictionary may be of two kinds:
- Only the new value
- A dictionary with new value and/or new details
Parameters
----------
name : str
`Port` name
direction : {PortType.IN, PortType.OUT}
`Port` direction
variables : Dict[str, Any], optional
Dictionary of variables with their value and details; default: None = default value
"""
super().__init__(name, direction)
self.__locked = False # type: bool
self.setup()
if variables is not None:
check_arg(variables, "variables", dict)
for name, value in variables.items():
variable_value = value
if isinstance(value, dict):
variable_value = value.pop("value", None)
details = self.get_details(name)
try:
for field, param in value.items():
setattr(details, field, param)
except AttributeError: # Unexpected keyword for details
# If current variable is of type dict
if isinstance(self[name], dict):
if variable_value is not None:
value["value"] = variable_value
variable_value = value
else:
raise
if variable_value is not None:
self[name] = variable_value
self.__locked = True
[docs]
def setup(self) -> None:
"""`Port` variables are defined in this function by calling `add_variable`.
This function allows to populate a customized `Port` class. The `add_variable`
function is only callable in the frame of this function.
Examples
--------
Here is an example of `Port` subclassing:
>>> class FlowPort(Port):
>>> def setup(self):
>>> self.add_variable('Pt', 101325.)
>>> self.add_variable('Tt', 273.15)
>>> self.add_variable('W', 1.0)
"""
pass # pragma: no cover
[docs]
def add_variable(
self,
name: str,
value: Any = 1,
unit: str = "",
dtype: Types = None,
valid_range: RangeValue = None,
invalid_comment: str = "",
limits: RangeValue = None,
out_of_limits_comment: str = "",
desc: str = "",
distribution: Optional[Distribution] = None,
scope=Scope.PUBLIC,
) -> None:
"""Add a variable to the port.
The `valid_range` defines the range of value for which a model is known to behave correctly.
The `limits` are at least as large as the validity range.
Notes
-----
The default visibility of a `Port` variable is `Scope.PUBLIC`.
This is a difference compared to `BasePort`.
Parameters
----------
name : str
Name of the variable
value : Any, optional
Value of the variable; default 1
unit : str, optional
Variable unit; default empty string (i.e. dimensionless)
dtype : type or iterable of type, optional
Variable type; default None (i.e. type of initial value)
valid_range : Tuple[Any, Any] or Tuple[Tuple], optional
Validity range of the variable; default None (i.e. all values are valid)
invalid_comment : str, optional
Comment to show in case the value is not valid; default ''
limits : Tuple[Any, Any] or Tuple[Tuple], optional
Limits over which the use of the model is wrong; default valid_range
out_of_limits_comment : str, optional
Comment to show in case the value is not valid; default ''
desc : str, optional
Variable description; default ''
distribution : Distribution, optional
Probability distribution of the variable; default None (no distribution)
scope : Scope {PRIVATE, PROTECTED, PUBLIC}, optional
Variable visibility; default PUBLIC
"""
if self.__locked:
raise AttributeError("add_variable cannot be called outside `setup`.")
super().add_variable(
name,
value=value,
unit=unit,
dtype=dtype,
valid_range=valid_range,
invalid_comment=invalid_comment,
limits=limits,
out_of_limits_comment=out_of_limits_comment,
desc=desc,
distribution=distribution,
scope=scope,
)
[docs]
def copy(
self,
name: Optional[str] = None,
direction: Optional[PortType] = None,
):
"""Duplicates the port.
Parameters
----------
name : str, optional
Name of the duplicated port; default original port name
direction : {PortType.IN, PortType.OUT}, optional
Direction of the duplicated port; default original direction
Returns
-------
Port
The copy of the current port
"""
cls = type(self)
new_port = cls(
name or self.name,
direction or self.direction,
)
new_port.set_from(self, copy.copy)
return new_port
[docs]
def set_from(self,
source: BasePort,
transfer: Callable[[T], T] = lambda x: x,
check_names: bool = True,
) -> None:
"""Set values from another port.
Parameters:
-----------
- source [BasePort]:
Source port.
- transfer [Callable[[T], T], optional]:
Transfer function to pass values. By default, `transfer` is the identity
function, which corresponds to plain assignment target.var = source.var.
Copies can be performed by setting `transfer = copy.copy`, e.g.
- check_names [bool, optional]:
If `True` (default), figure out common variables before transfering values.
If current and source ports are of the same type, no check is performed.
Examples:
---------
>>> from cosapp.base import Port, System
>>> import copy
>>>
>>> class DummyPort(Port):
>>> def setup(self):
>>> self.add_variable('a')
>>> self.add_variable('b')
>>>
>>> class DummySystem(System):
>>> def setup(self):
>>> self.add_inward('a')
>>> self.add_inward('x')
>>> self.add_input(DummyPort, 'p_in')
>>> self.add_output(DummyPort, 'p_out')
>>>
>>> def compute(self):
>>> self.p_out.set_from(self.p_in) # peer-to-peer: no check
>>> self.p_out.set_from(self.inwards) # will transfer `self.a`
>>> # Peer-to-peer, with deepcopy:
>>> self.p_out.set_from(self.p_in, copy.deepcopy)
>>> # Transfer `inwards` into `p_out`, with no name check:
>>> # raises AttributeError, as `DummyPort` has no variable `x`
>>> self.p_out.set_from(
>>> self.inwards,
>>> check_names=False,
>>> )
"""
peers = type(source) is type(self) # most likely usage
if peers or not check_names: # faster
common = iter(source)
else:
common = set(source).intersection(self)
if not common:
logger.warning(
f"{self.contextual_name!r} and {source.contextual_name!r} have no common variables."
)
for name in common:
value = getattr(source, name)
setattr(self, name, transfer(value))
[docs]
def pop_variable(self, varname: str) -> None:
raise NotImplementedError(
f"cannot remove variables from fixed-size port {type(self).__name__}."
)
