BinaryPolyArray

class BinaryPolyArray

ベースクラス: PolyArray

Methods

__init__	__init__
copy	copy
decode	decode
diagonal	diagonal
evaluate	evaluate
fill	fill
flatten	flatten
nonzero	nonzero
ravel	ravel
repeat	repeat
reshape	reshape
roll	roll
substitute	substitute
sum	sum
swapaxes	swapaxes
take	take
to_list	to_list
to_numpy	to_numpy
tolist	alias of to_list()
tonumpy	alias of to_numpy()
transpose	transpose
view	view

Attributes

T	T property
flat	flat property
ndim	ndim property
shape	shape property
size	size property

class Iterator

__init__(*args, **kwargs)

__iter__(self) → Iterator

__iter__

戻り値の型:

Iterator

__next__(self) → PolyArray | Poly

__next__

戻り値の型:

PolyArray | Poly

__add__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__add__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__and__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__and__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__bool__(self) → bool

__bool__

戻り値の型:

bool

__copy__(self) → PolyArray

__copy__

戻り値の型:

PolyArray

__deepcopy__(self, arg: dict, /) → PolyArray

__deepcopy__

パラメータ:

arg (dict) --

戻り値の型:

PolyArray

__eq__(

self,

arg: PolyArray | Poly | float | int | list | ndarray,

/,

) → ndarray[Any, dtype[numpy.bool_]]

__eq__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

ndarray

__float__(self) → float

__float__

戻り値の型:

float

__getitem__(self, arg: tuple | slice | EllipsisType | int | None) → PolyArray | Poly

__getitem__

パラメータ:

arg (tuple | slice | EllipsisType | int | None) --

戻り値の型:

PolyArray | Poly

__iadd__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__iadd__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__iand__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__iand__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__imul__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__imul__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__index__(self) → int

__index__

戻り値の型:

int

__init__(self, object: ndarray | list | Poly) → None

__init__

パラメータ:

object (ndarray | list | Poly) --

__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__int__(self) → int

__int__

戻り値の型:

int

__invert__(self) → PolyArray

__invert__

戻り値の型:

PolyArray

__ior__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__ior__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__ipow__(self, arg: int, /) → PolyArray

__ipow__

パラメータ:

arg (int) --

戻り値の型:

PolyArray

__isub__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__isub__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__iter__(self) → Iterator

__iter__

戻り値の型:

Iterator

__itruediv__(self, arg: float | int | list | ndarray, /) → PolyArray

__itruediv__

パラメータ:

arg (float | int | list | ndarray) --

戻り値の型:

PolyArray

__ixor__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__ixor__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__len__(self) → int

__len__

戻り値の型:

int

__matmul__(self, arg: PolyArray | ndarray, /) → Poly | PolyArray

__matmul__

パラメータ:

arg (PolyArray | ndarray) --

戻り値の型:

Poly | PolyArray

__mul__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__mul__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__ne__(

self,

arg: PolyArray | Poly | float | int | list | ndarray,

/,

) → ndarray[Any, dtype[numpy.bool_]]

__ne__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

ndarray

__neg__(self) → PolyArray

__neg__

戻り値の型:

PolyArray

__or__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__or__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__pos__(self) → PolyArray

__pos__

戻り値の型:

PolyArray

__pow__(self, arg: int, /) → PolyArray

__pow__

パラメータ:

arg (int) --

戻り値の型:

PolyArray

__radd__(self, arg: Poly | float | int | list | ndarray, /) → PolyArray

__radd__

パラメータ:

arg (Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

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

__rand__

パラメータ:

arg (Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__repr__(self) → str

__repr__

戻り値の型:

str

__rmatmul__(self, arg: PolyArray | ndarray, /) → Poly | PolyArray

__rmatmul__

パラメータ:

arg (PolyArray | ndarray) --

戻り値の型:

Poly | PolyArray

__rmul__(self, arg: Poly | float | int | list | ndarray, /) → PolyArray

__rmul__

パラメータ:

arg (Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

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

__ror__

パラメータ:

arg (Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__rsub__(self, arg: Poly | float | int | list | ndarray, /) → PolyArray

__rsub__

パラメータ:

arg (Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

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

__rxor__

パラメータ:

arg (Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

__setitem__(

self,

arg: tuple | slice | EllipsisType | int | None,

value: Poly | float | int | list | ndarray | PolyArray,

) → None

__setitem__

パラメータ:

• arg (tuple | slice | EllipsisType | int | None) --

• value (Poly | float | int | list | ndarray | PolyArray) --

__str__(self) → str

__str__

戻り値の型:

str

__sub__(self, arg: PolyArray | Poly | float | int | list | ndarray, /) → PolyArray

__sub__

パラメータ:

arg (PolyArray | Poly | float | int | list | ndarray) --

戻り値の型:

PolyArray

__truediv__(self, arg: float | int | list | ndarray, /) → PolyArray

__truediv__

パラメータ:

arg (float | int | list | ndarray) --

戻り値の型:

PolyArray

__xor__(

self,

arg: PolyArray | Poly | bool | list | ndarray[Any, dtype[numpy.bool_]],

/,

) → PolyArray

__xor__

パラメータ:

arg (PolyArray | Poly | bool | list | ndarray) --

戻り値の型:

PolyArray

copy(self) → PolyArray

copy

戻り値の型:

PolyArray

decode(self, values: Values) → ndarray[Any, dtype[numpy.float64]]

decode(self, values: Values, default: float) → ndarray[Any, dtype[numpy.float64]]

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

decode

Overloading:

1. decode(self, values: amplify.Values) -> numpy.ndarray[Any, numpy.dtype[numpy.float64]]

Args:

• values (amplify.Values):

Returns:

numpy.ndarray:

2. decode(self, values: amplify.Values, default: float) -> numpy.ndarray[Any, numpy.dtype[numpy.float64]]

Args:

• values (amplify.Values):

• default (float):

Returns:

numpy.ndarray:

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

Args:

• values (amplify.Values):

• default (None | None):

Returns:

amplify.PolyArray:

diagonal(self, offset: int = 0, axis1: int = 0, axis2: int = 1) → PolyArray

diagonal

パラメータ:

• offset (int) -- Defaults to 0.

• axis1 (int) -- Defaults to 0.

• axis2 (int) -- Defaults to 1.

戻り値の型:

PolyArray

evaluate(self, values: Values) → ndarray[Any, dtype[numpy.float64]]

evaluate(self, values: Values, default: float) → ndarray[Any, dtype[numpy.float64]]

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

evaluate

Overloading:

1. evaluate(self, values: amplify.Values) -> numpy.ndarray[Any, numpy.dtype[numpy.float64]]

Args:

• values (amplify.Values):

Returns:

numpy.ndarray:

2. evaluate(self, values: amplify.Values, default: float) -> numpy.ndarray[Any, numpy.dtype[numpy.float64]]

Args:

• values (amplify.Values):

• default (float):

Returns:

numpy.ndarray:

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

Args:

• values (amplify.Values):

• default (None | None):

Returns:

amplify.PolyArray:

fill(self, value: Poly | float | int) → None

fill

パラメータ:

value (Poly | float | int) --

flatten(self) → PolyArray

flatten

戻り値の型:

PolyArray

nonzero(self) → tuple[ndarray[Any, dtype[numpy.uint64]], ...]

nonzero

戻り値の型:

tuple[ndarray[Any, dtype[numpy.uint64]], ...]

ravel(self) → PolyArray

ravel

戻り値の型:

PolyArray

repeat(self, repeats: int | list[int], axis: int | None = None) → PolyArray

repeat

パラメータ:

• repeats (int | list[int]) --

• axis (int | None) -- Defaults to None.

戻り値の型:

PolyArray

reshape(self, shape: int | tuple[int, ...]) → PolyArray

reshape(self, *shape: int) → PolyArray

reshape

Overloading:

1. reshape(self, shape: Union[int, tuple[int, ...]]) -> amplify.PolyArray

Args:

• shape (int | tuple[int, ...]):

Returns:

amplify.PolyArray:

2. reshape(self, *shape: int) -> amplify.PolyArray

Args:

• *shape (int):

Returns:

amplify.PolyArray:

roll(self, shift: int, axis: int | None = None) → PolyArray

roll

パラメータ:

• shift (int) --

• axis (int | None) -- Defaults to None.

戻り値の型:

PolyArray

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

substitute

パラメータ:

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

戻り値の型:

PolyArray

sum(self, axis: Literal[None] | None = None) → Poly

sum(self, axis: int | tuple[int, ...] | None) → Poly | PolyArray

sum

Overloading:

1. sum(self, axis: Optional[Literal[None]] = None) -> amplify.Poly

Args:

• axis (Literal[None] | None): Defaults to None.

Returns:

amplify.Poly:

2. sum(self, axis: Optional[Union[int, tuple[int, ...]]]) -> Union[amplify.Poly, amplify.PolyArray]

Args:

• axis (int | tuple[int, ...] | None):

Returns:

amplify.Poly | amplify.PolyArray:

swapaxes(self, axis1: int, axis2: int) → PolyArray

swapaxes

パラメータ:

• axis1 (int) --

• axis2 (int) --

戻り値の型:

PolyArray

take(self, indices: int | list[int], axis: int | None = None) → PolyArray | Poly

take

パラメータ:

• indices (int | list[int]) --

• axis (int | None) -- Defaults to None.

戻り値の型:

PolyArray | Poly

to_list(self) → Poly | list[Poly]

to_list

戻り値の型:

Poly | list[Poly]

to_numpy(self) → ndarray[Any, dtype[numpy.float64]]

to_numpy

戻り値の型:

ndarray

tolist(self) → Poly | list[Poly]

alias of to_list()

戻り値の型:

Poly | list[Poly]

tonumpy(self) → ndarray[Any, dtype[numpy.float64]]

alias of to_numpy()

戻り値の型:

ndarray

transpose(self, axes: tuple[int, ...] | None = None) → PolyArray

transpose(self, *axes: int) → PolyArray

transpose

Overloading:

1. transpose(self, axes: Optional[tuple[int, ...]] = None) -> amplify.PolyArray

Args:

• axes (tuple[int, ...] | None): Defaults to None.

Returns:

amplify.PolyArray:

2. transpose(self, *axes: int) -> amplify.PolyArray

Args:

• *axes (int):

Returns:

amplify.PolyArray:

view(self) → PolyArray

view

戻り値の型:

PolyArray

property T

T property

戻り値の型:

PolyArray

__deprecated__ = 'BinaryPolyArray is deprecated since amplify v1.0.0 and will no longer support in the near future.\nUse PolyArray instead. Please see the migration guide for details: https://amplify.fixstars.com/docs/amplify/v1/migration.html'

__dict__ = mappingproxy({'__module__': 'amplify._backward', '__dict__': <attribute '__dict__' of 'BinaryPolyArray' objects>, '__weakref__': <attribute '__weakref__' of 'BinaryPolyArray' objects>, '__doc__': None, '__new__': <staticmethod(<function PolyArray.__new__>)>, '__init_subclass__': <function BinaryPolyArray.__init_subclass__>, '__deprecated__': 'BinaryPolyArray is deprecated since amplify v1.0.0 and will no longer support in the near future.\nUse PolyArray instead. Please see the migration guide for details: https://amplify.fixstars.com/docs/amplify/v1/migration.html', '__annotations__': {}})

__weakref__

list of weak references to the object (if defined)

property flat

flat property

戻り値の型:

PolyArray

property ndim

ndim property

戻り値の型:

int

property shape

shape property

戻り値の型:

tuple[int, ...]

property size

size property

戻り値の型:

int