from __future__ import annotations
import itertools
import uuid
from typing import TYPE_CHECKING, Any, Sequence
import gams.transfer as gt
import pandas as pd
from gams.core.gdx import GMS_DT_PAR
import gamspy as gp
import gamspy._algebra.condition as condition
import gamspy._algebra.expression as expression
import gamspy._algebra.operable as operable
import gamspy._algebra.operation as operation
import gamspy._symbols.implicits as implicits
import gamspy._validation as validation
import gamspy.utils as utils
from gamspy._symbols.symbol import Symbol
from gamspy.exceptions import ValidationError
if TYPE_CHECKING:
from gamspy import Alias, Container, Set
from gamspy._algebra.expression import Expression
[docs]
class Parameter(gt.Parameter, operable.Operable, Symbol):
"""
Represents a parameter symbol in GAMS.
https://www.gams.com/latest/docs/UG_DataEntry.html#UG_DataEntry_Parameters
Parameters
----------
container : Container
Container of the parameter.
name : str, optional
Name of the parameter. Name is autogenerated by default.
domain : list[Set | Alias | str] | Set | Alias | str, optional
Domain of the parameter.
records : int | float | pd.DataFrame | np.ndarray | list, optional
Records of the parameter.
domain_forwarding : bool, optional
Whether the parameter forwards the domain. See: https://gams.com/latest/docs/UG_SetDefinition.html#UG_SetDefinition_ImplicitSetDefinition
description : str, optional
Description of the parameter.
uels_on_axes : bool
Assume that symbol domain information is contained in the axes of the given records.
is_miro_input : bool
Whether the symbol is a GAMS MIRO input symbol. See: https://gams.com/miro/tutorial.html
is_miro_output : bool
Whether the symbol is a GAMS MIRO output symbol. See: https://gams.com/miro/tutorial.html
Examples
--------
>>> import gamspy as gp
>>> m = gp.Container()
>>> i = gp.Set(m, "i", records=['i1','i2'])
>>> a = gp.Parameter(m, "a", [i], records=[['i1',1],['i2',2]])
"""
@classmethod
def _constructor_bypass(
cls,
container: Container,
name: str,
domain: list[Set | Alias | str] | Set | Alias | str = [],
records: Any | None = None,
description: str = "",
):
obj = Parameter.__new__(
cls, container, name, domain, records, description=description
)
# set private properties directly
obj._requires_state_check = False
obj._container = container
container._requires_state_check = True
obj._name = name
obj._domain = domain
obj._domain_forwarding = False
obj._description = description
obj._records = records
obj._modified = True
# typing
obj._gams_type = GMS_DT_PAR
obj._gams_subtype = 0
# add to container
container.data.update({name: obj})
# gamspy attributes
obj._synchronize = True
obj.where = condition.Condition(obj)
obj.container._add_statement(obj)
# miro support
obj._is_miro_input = False
obj._is_miro_output = False
obj._is_miro_table = False
return obj
def __new__(
cls,
container: Container,
name: str | None = None,
domain: list[Set | Alias | str] | Set | Alias | str | None = None,
records: Any | None = None,
domain_forwarding: bool = False,
description: str = "",
uels_on_axes: bool = False,
is_miro_input: bool = False,
is_miro_output: bool = False,
is_miro_table: bool = False,
):
if not isinstance(container, gp.Container):
raise TypeError(
"Container must of type `Container` but found"
f" {type(container)}"
)
if name is None:
return object.__new__(cls)
else:
if not isinstance(name, str):
raise TypeError(
f"Name must of type `str` but found {type(name)}"
)
try:
symbol = container[name]
if isinstance(symbol, cls):
return symbol
raise TypeError(
f"Cannot overwrite symbol `{name}` in container"
" because it is not a Parameter object"
)
except KeyError:
return object.__new__(cls)
def __init__(
self,
container: Container,
name: str | None = None,
domain: list[Set | Alias | str] | Set | Alias | str | None = None,
records: Any | None = None,
domain_forwarding: bool = False,
description: str = "",
uels_on_axes: bool = False,
is_miro_input: bool = False,
is_miro_output: bool = False,
is_miro_table: bool = False,
):
# miro support
self._is_miro_input = is_miro_input
self._is_miro_output = is_miro_output
self._is_miro_table = is_miro_table
self._synchronize = True
# domain handling
if domain is None:
domain = []
if isinstance(domain, (gp.Set, gp.Alias, str)):
domain = [domain]
if isinstance(domain, gp.math.Dim):
domain = gp.math._generate_dims(container, domain.dims)
# does symbol exist
has_symbol = False
if isinstance(getattr(self, "container", None), gp.Container):
has_symbol = True
if has_symbol:
if any(
d1 != d2
for d1, d2 in itertools.zip_longest(self.domain, domain)
):
raise ValueError(
"Cannot overwrite symbol in container unless symbol"
" domains are equal"
)
if self.domain_forwarding != domain_forwarding:
raise ValueError(
"Cannot overwrite symbol in container unless"
" 'domain_forwarding' is left unchanged"
)
# reset some properties
self._requires_state_check = True
self.container._requires_state_check = True
if description != "":
self.description = description
previous_state = self.container.miro_protect
self.container.miro_protect = False
self.records = None
self.modified = True
# only set records if records are provided
if records is not None:
self.setRecords(records, uels_on_axes=uels_on_axes)
self.container.miro_protect = previous_state
else:
if name is not None:
name = validation.validate_name(name)
if is_miro_input or is_miro_output:
name = name.lower() # type: ignore
else:
name = "p" + str(uuid.uuid4()).replace("-", "_")
previous_state = container.miro_protect
container.miro_protect = False
super().__init__(
container,
name,
domain,
domain_forwarding=domain_forwarding,
description=description,
uels_on_axes=uels_on_axes,
)
if is_miro_input:
self._already_loaded = False
container._miro_input_symbols.append(self.name)
if is_miro_output:
container._miro_output_symbols.append(self.name)
validation.validate_container(self, self.domain)
self.where = condition.Condition(self)
self.container._add_statement(self)
if records is not None:
self.setRecords(records, uels_on_axes=uels_on_axes)
else:
self.container._synch_with_gams()
container.miro_protect = previous_state
def __getitem__(
self, indices: Sequence | str
) -> implicits.ImplicitParameter:
domain = validation.validate_domain(self, indices)
return implicits.ImplicitParameter(self, name=self.name, domain=domain)
def __setitem__(
self,
indices: tuple | str | implicits.ImplicitSet,
rhs: Expression | float | int,
):
# self[domain] = rhs
domain = validation.validate_domain(self, indices)
if self._is_miro_input and self.container.miro_protect:
raise ValidationError(
f"Cannot assign to protected miro input symbol {self.name}. `miro_protect`"
" attribute of the container can be set to False to allow"
" assigning to MIRO input symbols"
)
if isinstance(rhs, float):
rhs = utils._map_special_values(rhs) # type: ignore
statement = expression.Expression(
implicits.ImplicitParameter(self, name=self.name, domain=domain),
"=",
rhs,
)
statement._validate_definition(utils._unpack(domain))
self.container._add_statement(statement)
self._assignment = statement
if self.synchronize:
self.container._synch_with_gams()
def __eq__(self, other): # type: ignore
op = "eq"
if isinstance(
other,
(
implicits.ImplicitVariable,
expression.Expression,
operation.Operation,
),
):
op = "=e="
return expression.Expression(self, op, other)
def __neg__(self):
return expression.Expression(None, "-", self)
def __repr__(self) -> str:
return f"Parameter(name={self.name}, domain={self.domain})"
@property
def T(self) -> implicits.ImplicitParameter:
"""See gamspy.Parameter.t"""
return self.t()
def t(self) -> implicits.ImplicitParameter:
"""Returns an ImplicitParameter derived from this
parameter by swapping its last two indices. This operation
does not generate a new parameter in GAMS.
Examples
--------
>>> import gamspy as gp
>>> m = gp.Container()
>>> i = gp.Set(m, "i", records=['i1','i2'])
>>> j = gp.Set(m, "j", records=['j1','j2'])
>>> v = gp.Parameter(m, "v", domain=[i, j])
>>> v_t = v.t()
>>> v_t.domain
[Set(name=j, domain=['*']), Set(name=i, domain=['*'])]
>>> v_t[i, j] # doctest: +IGNORE_EXCEPTION_DETAIL
Traceback (most recent call last):
gamspy.exceptions.ValidationError:
>>> v_t["j1", "i1"].gamsRepr()
'v("i1","j1")'
"""
from gamspy.math.matrix import permute
dims = [x for x in range(len(self.domain))]
if len(dims) < 2:
raise ValidationError(
"Parameter must contain at least 2 dimensions to transpose"
)
x = dims[-1]
dims[-1] = dims[-2]
dims[-2] = x
return permute(self, dims)
@property
def records(self):
"""
Records of the Parameter
Returns
-------
DataFrame
Examples
--------
>>> import gamspy as gp
>>> import numpy as np
>>> m = gp.Container()
>>> i = gp.Set(m, name="i", records=["seattle", "san-diego"])
>>> d = gp.Parameter(m, name="d", domain=[i])
>>> d.setRecords(np.array([10, 25]))
>>> d.records.values.tolist()
[['seattle', 10.0], ['san-diego', 25.0]]
"""
return self._records
@records.setter
def records(self, records):
if (
hasattr(self, "_is_miro_input")
and self._is_miro_input
and self.container.miro_protect
):
raise ValidationError(
"Cannot assign to protected miro input symbols. `miro_protect`"
" attribute of the container can be set to False to allow"
" assigning to MIRO input symbols"
)
if records is not None and not isinstance(records, pd.DataFrame):
raise TypeError("Symbol 'records' must be type DataFrame")
# set records
self._records = records
self._requires_state_check = True
self.modified = True
self.container._requires_state_check = True
self.container.modified = True
if self._records is not None and self.domain_forwarding:
self._domainForwarding()
self._mark_forwarded_domain_sets(self.domain_forwarding)
# reset state check flags for all symbols in the container
for symbol in self.container.data.values():
symbol._requires_state_check = True
[docs]
def setRecords(self, records: Any, uels_on_axes: bool = False) -> None:
"""
Main convenience method to set standard pandas.DataFrame formatted
records. If uels_on_axes=True setRecords will assume that all domain
information is contained in the axes of the pandas object – data will be
flattened (if necessary).
Parameters
----------
records : Any
uels_on_axes : bool, optional
Examples
--------
>>> import gamspy as gp
>>> import numpy as np
>>> m = gp.Container()
>>> i = gp.Set(m, name="i")
>>> i.setRecords(["seattle", "san-diego"])
>>> i.records.values.tolist()
[['seattle', ''], ['san-diego', '']]
"""
super().setRecords(records, uels_on_axes)
if self.synchronize:
self.container._synch_with_gams()
[docs]
def gamsRepr(self) -> str:
"""
Representation of this Parameter in GAMS language.
Returns
-------
str
Examples
--------
>>> import gamspy as gp
>>> m = gp.Container()
>>> i = gp.Set(m, "i", records=['i1','i2'])
>>> d = gp.Parameter(m, "d", domain=i)
>>> d.gamsRepr()
'd(i)'
"""
representation = self.name
if self.domain:
representation += self._get_domain_str()
return representation
[docs]
def getDeclaration(self) -> str:
"""
Declaration of the Parameter in GAMS
Returns
-------
str
Examples
--------
>>> import gamspy as gp
>>> m = gp.Container()
>>> i = gp.Set(m, "i", records=['i1','i2'])
>>> a = gp.Parameter(m, "a", [i], records=[['i1',1],['i2',2]])
>>> a.getDeclaration()
'Parameter a(i);'
"""
statement_name = self.name
if self.domain:
statement_name += self._get_domain_str()
output = f"Parameter {statement_name}"
if self.description:
output += ' "' + self.description + '"'
output += ";"
return output
def getAssignment(self) -> str:
"""
Latest assignment to the Parameter in GAMS
Returns
-------
str
Examples
--------
>>> import gamspy as gp
>>> m = gp.Container()
>>> i = gp.Set(m, "i", records=['i1','i2'])
>>> a = gp.Parameter(m, "a", [i], records=[['i1',1],['i2',2]])
>>> a[i] = a[i] * 5
>>> a.getAssignment()
'a(i) = (a(i) * 5);'
"""
if not hasattr(self, "_assignment"):
raise ValidationError("Parameter is not defined!")
return self._assignment.getDeclaration()
