Poly

class Poly

Methods

__init__	__init__
as_dict	as_dict
as_variable	as_variable
asdict	alias of as_dict()
decode	decode
degree	degree
evaluate	evaluate
is_linear	is_linear
is_number	is_number
is_quadratic	is_quadratic
is_variable	is_variable
substitute	substitute

Attributes

id	id property
lower_bound	lower_bound property
name	name property
type	type property
upper_bound	upper_bound property
variables	variables property

class Iterator

__init__(*args, **kwargs)

__iter__(self) → Iterator

__iter__

Return type:

Iterator

__next__(self) → tuple[tuple[Poly, ...], float]

__next__

Return type:

tuple[tuple[Poly, …], float]

__add__(self, arg: Poly | float, /) → Poly

__add__(self, arg: ndarray, /) → PolyArray

__add__(self, arg: Constraint | ConstraintList, /) → Model

__add__

Overloading:

1. __add__(self, arg: Union[amplify.Poly, float], /) -> amplify.Poly

Args:

• arg (amplify.Poly | float):

Returns:

amplify.Poly:

2. __add__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

3. __add__(self, arg: Union[amplify.Constraint, amplify.ConstraintList], /) -> amplify.Model

Args:

• arg (amplify.Constraint | amplify.ConstraintList):

Returns:

amplify.Model:

__and__(self, arg: Poly | bool, /) → Poly

__and__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__and__

Overloading:

1. __and__(self, arg: Union[amplify.Poly, bool], /) -> amplify.Poly

Args:

• arg (amplify.Poly | bool):

Returns:

amplify.Poly:

2. __and__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__bool__(self) → bool

__bool__

Return type:

bool

__eq__(self, arg: Poly | float, /) → bool

__eq__

Parameters:

arg (Poly | float) –

Return type:

bool

__float__(self) → float

__float__

Return type:

float

__iadd__(self, arg: Poly | float, /) → Poly

__iadd__

Parameters:

arg (Poly | float) –

Return type:

Poly

__iand__(self, arg: Poly | bool, /) → Poly

__iand__

Parameters:

arg (Poly | bool) –

Return type:

Poly

__imul__(self, arg: Poly | float, /) → Poly

__imul__

Parameters:

arg (Poly | float) –

Return type:

Poly

__index__(self) → int

__index__

Return type:

int

__init__(self) → None

__init__(self, arg: float, /) → None

__init__

Parameters:

arg (float) –

__int__(self) → int

__int__

Return type:

int

__invert__(self) → Poly

__invert__

Return type:

Poly

__ior__(self, arg: Poly | bool, /) → Poly

__ior__

Parameters:

arg (Poly | bool) –

Return type:

Poly

__ipow__(self, arg: int, /) → Poly

__ipow__

Parameters:

arg (int) –

Return type:

Poly

__isub__(self, arg: Poly | float, /) → Poly

__isub__

Parameters:

arg (Poly | float) –

Return type:

Poly

__iter__(self) → Iterator

__iter__

Return type:

Iterator

__itruediv__(self, arg: float, /) → Poly

__itruediv__

Parameters:

arg (float) –

Return type:

Poly

__ixor__(self, arg: Poly | bool, /) → Poly

__ixor__

Parameters:

arg (Poly | bool) –

Return type:

Poly

__len__(self) → int

__len__

Return type:

int

__mul__(self, arg: Poly | float, /) → Poly

__mul__(self, arg: ndarray, /) → PolyArray

__mul__

Overloading:

1. __mul__(self, arg: Union[amplify.Poly, float], /) -> amplify.Poly

Args:

• arg (amplify.Poly | float):

Returns:

amplify.Poly:

2. __mul__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__ne__(self, arg: Poly | float, /) → bool

__ne__

Parameters:

arg (Poly | float) –

Return type:

bool

__neg__(self) → Poly

__neg__

Return type:

Poly

__or__(self, arg: Poly | bool, /) → Poly

__or__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__or__

Overloading:

1. __or__(self, arg: Union[amplify.Poly, bool], /) -> amplify.Poly

Args:

• arg (amplify.Poly | bool):

Returns:

amplify.Poly:

2. __or__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__pos__(self) → Poly

__pos__

Return type:

Poly

__pow__(self, arg: int, /) → Poly

__pow__

Parameters:

arg (int) –

Return type:

Poly

__radd__(self, arg: float, /) → Poly

__radd__(self, arg: ndarray, /) → PolyArray

__radd__(self, arg: Constraint | ConstraintList, /) → Model

__radd__

Overloading:

1. __radd__(self, arg: float, /) -> amplify.Poly

Args:

• arg (float):

Returns:

amplify.Poly:

2. __radd__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

3. __radd__(self, arg: Union[amplify.Constraint, amplify.ConstraintList], /) -> amplify.Model

Args:

• arg (amplify.Constraint | amplify.ConstraintList):

Returns:

amplify.Model:

__rand__(self, arg: bool, /) → Poly

__rand__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__rand__

Overloading:

1. __rand__(self, arg: bool, /) -> amplify.Poly

Args:

• arg (bool):

Returns:

amplify.Poly:

2. __rand__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__repr__(self) → str

__repr__

Return type:

str

__rmul__(self, arg: float, /) → Poly

__rmul__(self, arg: ndarray, /) → PolyArray

__rmul__

Overloading:

1. __rmul__(self, arg: float, /) -> amplify.Poly

Args:

• arg (float):

Returns:

amplify.Poly:

2. __rmul__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__ror__(self, arg: bool, /) → Poly

__ror__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__ror__

Overloading:

1. __ror__(self, arg: bool, /) -> amplify.Poly

Args:

• arg (bool):

Returns:

amplify.Poly:

2. __ror__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__rsub__(self, arg: float, /) → Poly

__rsub__(self, arg: ndarray, /) → PolyArray

__rsub__

Overloading:

1. __rsub__(self, arg: float, /) -> amplify.Poly

Args:

• arg (float):

Returns:

amplify.Poly:

2. __rsub__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__rxor__(self, arg: bool, /) → Poly

__rxor__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__rxor__

Overloading:

1. __rxor__(self, arg: bool, /) -> amplify.Poly

Args:

• arg (bool):

Returns:

amplify.Poly:

2. __rxor__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__str__(self) → str

__str__

Return type:

str

__sub__(self, arg: Poly | float, /) → Poly

__sub__(self, arg: ndarray, /) → PolyArray

__sub__

Overloading:

1. __sub__(self, arg: Union[amplify.Poly, float], /) -> amplify.Poly

Args:

• arg (amplify.Poly | float):

Returns:

amplify.Poly:

2. __sub__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__truediv__(self, arg: float, /) → Poly

__truediv__(self, arg: ndarray, /) → PolyArray

__truediv__

Overloading:

1. __truediv__(self, arg: float, /) -> amplify.Poly

Args:

• arg (float):

Returns:

amplify.Poly:

2. __truediv__(self, arg: numpy.ndarray, /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

__xor__(self, arg: Poly | bool, /) → Poly

__xor__(self, arg: ndarray[Any, dtype[numpy.bool_]], /) → PolyArray

__xor__

Overloading:

1. __xor__(self, arg: Union[amplify.Poly, bool], /) -> amplify.Poly

Args:

• arg (amplify.Poly | bool):

Returns:

amplify.Poly:

2. __xor__(self, arg: numpy.ndarray[Any, numpy.dtype[numpy.bool_]], /) -> amplify.PolyArray

Args:

• arg (numpy.ndarray):

Returns:

amplify.PolyArray:

as_dict(self) → dict[tuple[int, ...], float]

as_dict

Return type:

dict[tuple[int, …], float]

as_variable(self) → Variable

as_variable

Return type:

Variable

asdict(self) → dict[tuple[int, ...], float]

alias of as_dict()

Return type:

dict[tuple[int, …], float]

decode(self, values: Values) → float

decode(self, values: Values, default: float) → float

decode(self, values: Values, default: None | None) → Poly

decode

Overloading:

1. decode(self, values: amplify.Values) -> float

Args:

• values (amplify.Values):

Returns:

float:

2. decode(self, values: amplify.Values, default: float) -> float

Args:

• values (amplify.Values):

• default (float):

Returns:

float:

3. decode(self, values: amplify.Values, default: Optional[None]) -> amplify.Poly

Args:

• values (amplify.Values):

• default (None | None):

Returns:

amplify.Poly:

degree(self) → int

degree

Return type:

int

evaluate(self, values: Values) → float

evaluate(self, values: Values, default: float) → float

evaluate(self, values: Values, default: None | None) → Poly

evaluate

Overloading:

1. evaluate(self, values: amplify.Values) -> float

Args:

• values (amplify.Values):

Returns:

float:

2. evaluate(self, values: amplify.Values, default: float) -> float

Args:

• values (amplify.Values):

• default (float):

Returns:

float:

3. evaluate(self, values: amplify.Values, default: Optional[None]) -> amplify.Poly

Args:

• values (amplify.Values):

• default (None | None):

Returns:

amplify.Poly:

is_linear(self) → bool

is_linear

Return type:

bool

is_number(self) → bool

is_number

Return type:

bool

is_quadratic(self) → bool

is_quadratic

Return type:

bool

is_variable(self) → bool

is_variable

Return type:

bool

substitute(self, mapping: dict[Poly, Poly | float | int]) → Poly

substitute

Parameters:

mapping (dict[Poly, Union[Poly, float, int]]) –

Return type:

Poly

property id

id property

Return type:

int

property lower_bound

lower_bound property

Return type:

float | None

property name

name property

Return type:

str

property type

type property

Return type:

VariableType

property upper_bound

upper_bound property

Return type:

float | None

property variables

variables property

Return type:

list[Variable]