Source code for gamspy._symbols.variable

#
# GAMS - General Algebraic Modeling System Python API
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from __future__ import annotations

from enum import Enum
from typing import Any
from typing import TYPE_CHECKING

import gams.transfer as gt
import pandas as pd

import gamspy as gp
import gamspy._algebra.condition as condition
import gamspy._algebra.expression as expression
import gamspy._algebra.operable as operable
import gamspy._symbols.implicits as implicits
import gamspy._validation as validation
from gamspy._symbols.symbol import Symbol

if TYPE_CHECKING:
    from gamspy import Set, Container


[docs]class VariableType(Enum): BINARY = "binary" INTEGER = "integer" POSITIVE = "positive" NEGATIVE = "negative" FREE = "free" SOS1 = "sos1" SOS2 = "sos2" SEMICONT = "semicont" SEMIINT = "semiint" @classmethod def values(cls): return list(cls._value2member_map_.keys()) def __str__(self) -> str: return self.value
[docs]class Variable(gt.Variable, operable.Operable, Symbol): """ Represents a variable symbol in GAMS. https://www.gams.com/latest/docs/UG_Variables.html Parameters ---------- container : Container name : str type : str, optional domain : list, optional records : DataFrame, optional domain_forwarding : bool, optional description : str, optional Examples -------- >>> import gamspy as gp >>> m = gp.Container() >>> i = gp.Set(m, "i", records=['i1','i2']) >>> v = gp.Variable(m, "a", domain=[i]) """ def __new__( cls, container: Container, name: str, type: str = "free", domain: list[str | Set] | None = None, records: Any | None = None, domain_forwarding: bool = False, description: str = "", uels_on_axes: bool = False, ): if not isinstance(container, gp.Container): raise TypeError( f"Container must of type `Container` but found {container}" ) 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 else: raise TypeError( f"Cannot overwrite symbol `{symbol.name}` in container" " because it is not a Variable object)" ) except KeyError: return object.__new__(cls) def __init__( self, container: Container, name: str, type: str = "free", domain: list[str | Set] | None = None, records: Any | None = None, domain_forwarding: bool = False, description: str = "", uels_on_axes: bool = False, ): type = cast_type(type) self._is_dirty = False self._is_frozen = False name = validation.validate_name(name) super().__init__( container, name, type, domain, records, domain_forwarding, description, uels_on_axes, ) validation.validate_container(self, self.domain) self.where = condition.Condition(self) self.container._add_statement(self) # create attributes self._l, self._m, self._lo, self._up, self._s = self._init_attributes() self._fx = self._create_attr("fx") self._prior = self._create_attr("prior") self._stage = self._create_attr("stage") def __getitem__(self, indices: tuple | str) -> implicits.ImplicitVariable: domain = validation._transform_given_indices(self.domain, indices) validation.validate_domain(self, domain) return implicits.ImplicitVariable(self, name=self.name, domain=domain) def __neg__(self): return implicits.ImplicitVariable( self, name=f"-{self.name}", domain=self.domain ) def __eq__(self, other): # type: ignore return expression.Expression(self, "=e=", other) def _init_attributes(self): level = self._create_attr("l") marginal = self._create_attr("m") lower = self._create_attr("lo") upper = self._create_attr("up") scale = self._create_attr("scale") return level, marginal, lower, upper, scale def _create_attr(self, attr_name): domain = self.domain return implicits.ImplicitParameter( self, name=f"{self.name}.{attr_name}", records=self.records, domain=domain, ) @property def l(self): # noqa: E741,E743 """ Level Returns ------- ImplicitParameter """ return self._l @property def m(self): """ Marginal Returns ------- ImplicitParameter """ return self._m @property def lo(self): """ Lower bound Returns ------- ImplicitParameter """ return self._lo @property def up(self): """ Upper bound Returns ------- ImplicitParameter """ return self._up @property def scale(self): """ Scale Returns ------- ImplicitParameter """ return self._s @property def fx(self): """ Fx Returns ------- ImplicitParameter """ return self._fx @property def prior(self): """ Prior Returns ------- ImplicitParameter """ return self._prior @property def stage(self): """ Stage Returns ------- ImplicitParameter """ return self._stage @property def records(self): """ Records of the Variable Returns ------- DataFrame """ if not self._is_dirty: return self._records self.container._run() return self._records @records.setter def records(self, records): if records is not None: if 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: if self.domain_forwarding: # pragma: no cover self._domainForwarding() # reset state check flags for all symbols in the container for _, symbol in self.container.data.items(): symbol._requires_state_check = True
[docs] def gamsRepr(self) -> str: """ Representation of this Variable in GAMS language. Returns ------- str """ return self.name
[docs] def getStatement(self) -> str: """ Statement of the Variable definition Returns ------- str """ output = self.type + " " statement_name = self.name if self.domain: statement_name += self._get_domain_str() output += f"Variable {statement_name}" if self.description: output += ' "' + self.description + '"' output += ";" return output
def cast_type(type: str | VariableType) -> str: if isinstance(type, str) and type.lower() not in VariableType.values(): raise ValueError( f"Allowed variable types: {VariableType.values()} but" f" found {type}." ) if isinstance(type, VariableType): type = type.value return type.lower()