ortools.math_opt.elemental.python.enums
DO NOT EDIT: This file is autogenerated.
1'''DO NOT EDIT: This file is autogenerated.''' 2 3import enum 4from typing import Generic, TypeVar, Union 5 6import numpy as np 7class ElementType(enum.Enum): 8 VARIABLE = 0 9 LINEAR_CONSTRAINT = 1 10 AUXILIARY_OBJECTIVE = 2 11 QUADRATIC_CONSTRAINT = 3 12 INDICATOR_CONSTRAINT = 4 13 14 15AttrValueType = TypeVar('AttrValueType', np.bool_, np.float64, np.int64) 16 17AttrPyValueType = TypeVar('AttrPyValueType', bool, float, int) 18 19class Attr(Generic[AttrValueType]): 20 pass 21 22class PyAttr(Generic[AttrPyValueType]): 23 pass 24 25class BoolAttr0(Attr[np.bool_], PyAttr[bool], int, enum.Enum): 26 MAXIMIZE = 0 27 28 29class BoolAttr1(Attr[np.bool_], PyAttr[bool], int, enum.Enum): 30 VARIABLE_INTEGER = 0 31 AUXILIARY_OBJECTIVE_MAXIMIZE = 1 32 INDICATOR_CONSTRAINT_ACTIVATE_ON_ZERO = 2 33 34 35class IntAttr0(Attr[np.int64], PyAttr[int], int, enum.Enum): 36 OBJECTIVE_PRIORITY = 0 37 38 39class IntAttr1(Attr[np.int64], PyAttr[int], int, enum.Enum): 40 AUXILIARY_OBJECTIVE_PRIORITY = 0 41 42 43class DoubleAttr0(Attr[np.float64], PyAttr[float], int, enum.Enum): 44 OBJECTIVE_OFFSET = 0 45 46 47class DoubleAttr1(Attr[np.float64], PyAttr[float], int, enum.Enum): 48 VARIABLE_LOWER_BOUND = 0 49 VARIABLE_UPPER_BOUND = 1 50 OBJECTIVE_LINEAR_COEFFICIENT = 2 51 LINEAR_CONSTRAINT_LOWER_BOUND = 3 52 LINEAR_CONSTRAINT_UPPER_BOUND = 4 53 AUXILIARY_OBJECTIVE_OFFSET = 5 54 QUADRATIC_CONSTRAINT_LOWER_BOUND = 6 55 QUADRATIC_CONSTRAINT_UPPER_BOUND = 7 56 INDICATOR_CONSTRAINT_LOWER_BOUND = 8 57 INDICATOR_CONSTRAINT_UPPER_BOUND = 9 58 59 60class DoubleAttr2(Attr[np.float64], PyAttr[float], int, enum.Enum): 61 LINEAR_CONSTRAINT_COEFFICIENT = 0 62 AUXILIARY_OBJECTIVE_LINEAR_COEFFICIENT = 1 63 QUADRATIC_CONSTRAINT_LINEAR_COEFFICIENT = 2 64 INDICATOR_CONSTRAINT_LINEAR_COEFFICIENT = 3 65 66 67class SymmetricDoubleAttr2(Attr[np.float64], PyAttr[float], int, enum.Enum): 68 OBJECTIVE_QUADRATIC_COEFFICIENT = 0 69 70 71class SymmetricDoubleAttr3(Attr[np.float64], PyAttr[float], int, enum.Enum): 72 QUADRATIC_CONSTRAINT_QUADRATIC_COEFFICIENT = 0 73 74 75class VariableAttr1(Attr[np.int64], PyAttr[int], int, enum.Enum): 76 INDICATOR_CONSTRAINT_INDICATOR = 0 77 78AnyAttr = Union[BoolAttr0, BoolAttr1, IntAttr0, IntAttr1, DoubleAttr0, DoubleAttr1, DoubleAttr2, SymmetricDoubleAttr2, SymmetricDoubleAttr3, VariableAttr1]
9class ElementType(enum.Enum): 10 VARIABLE = 0 11 LINEAR_CONSTRAINT = 1 12 AUXILIARY_OBJECTIVE = 2 13 QUADRATIC_CONSTRAINT = 3 14 INDICATOR_CONSTRAINT = 4
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
31class BoolAttr1(Attr[np.bool_], PyAttr[bool], int, enum.Enum): 32 VARIABLE_INTEGER = 0 33 AUXILIARY_OBJECTIVE_MAXIMIZE = 1 34 INDICATOR_CONSTRAINT_ACTIVATE_ON_ZERO = 2
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
49class DoubleAttr1(Attr[np.float64], PyAttr[float], int, enum.Enum): 50 VARIABLE_LOWER_BOUND = 0 51 VARIABLE_UPPER_BOUND = 1 52 OBJECTIVE_LINEAR_COEFFICIENT = 2 53 LINEAR_CONSTRAINT_LOWER_BOUND = 3 54 LINEAR_CONSTRAINT_UPPER_BOUND = 4 55 AUXILIARY_OBJECTIVE_OFFSET = 5 56 QUADRATIC_CONSTRAINT_LOWER_BOUND = 6 57 QUADRATIC_CONSTRAINT_UPPER_BOUND = 7 58 INDICATOR_CONSTRAINT_LOWER_BOUND = 8 59 INDICATOR_CONSTRAINT_UPPER_BOUND = 9
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
62class DoubleAttr2(Attr[np.float64], PyAttr[float], int, enum.Enum): 63 LINEAR_CONSTRAINT_COEFFICIENT = 0 64 AUXILIARY_OBJECTIVE_LINEAR_COEFFICIENT = 1 65 QUADRATIC_CONSTRAINT_LINEAR_COEFFICIENT = 2 66 INDICATOR_CONSTRAINT_LINEAR_COEFFICIENT = 3
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
69class SymmetricDoubleAttr2(Attr[np.float64], PyAttr[float], int, enum.Enum): 70 OBJECTIVE_QUADRATIC_COEFFICIENT = 0
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
73class SymmetricDoubleAttr3(Attr[np.float64], PyAttr[float], int, enum.Enum): 74 QUADRATIC_CONSTRAINT_QUADRATIC_COEFFICIENT = 0
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default
77class VariableAttr1(Attr[np.int64], PyAttr[int], int, enum.Enum): 78 INDICATOR_CONSTRAINT_INDICATOR = 0
Abstract base class for generic types.
On Python 3.12 and newer, generic classes implicitly inherit from Generic when they declare a parameter list after the class's name::
class Mapping[KT, VT]:
def __getitem__(self, key: KT) -> VT:
...
# Etc.
On older versions of Python, however, generic classes have to explicitly inherit from Generic.
After a class has been declared to be generic, it can then be used as follows::
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:
try:
return mapping[key]
except KeyError:
return default