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<doc-anchor-target id="array2d" class="break-words">
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<h1>
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<doc-anchor-trigger class="header-anchor-trigger" to="#array2d">#</doc-anchor-trigger>
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<span>array2d</span>
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</h1>
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<p>Efficient general-purpose 2D array.</p>
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<div class="codeblock-wrapper"><doc-codeblock>
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<pre translate="no" class="language-python"><code v-pre class="language-python">from typing import Callable, Literal, overload, Iterator, Self
|
||
from vmath import vec2i, color32
|
||
|
||
Neighborhood = Literal['Moore', 'von Neumann']
|
||
|
||
class array2d_like[T]:
|
||
@property
|
||
def n_cols(self) -> int: ...
|
||
@property
|
||
def n_rows(self) -> int: ...
|
||
@property
|
||
def width(self) -> int: ...
|
||
@property
|
||
def height(self) -> int: ...
|
||
@property
|
||
def shape(self) -> vec2i: ...
|
||
@property
|
||
def numel(self) -> int: ...
|
||
|
||
@overload
|
||
def is_valid(self, col: int, row: int) -> bool: ...
|
||
@overload
|
||
def is_valid(self, pos: vec2i) -> bool: ...
|
||
|
||
def get[R](self, col: int, row: int, default: R = None) -> T | R:
|
||
"""Get the value at the given position.
|
||
|
||
If the position is out of bounds, returns the default value.
|
||
"""
|
||
|
||
def index(self, value: T) -> vec2i:
|
||
"""Get the position of the first occurrence of the given value.
|
||
|
||
Raises `ValueError` if the value is not found.
|
||
"""
|
||
|
||
def render(self) -> str: ...
|
||
def render_with_color(self, fg: array2d_like[color32 | None], bg: array2d_like[color32 | None]) -> str: ...
|
||
|
||
def all(self: array2d_like[bool]) -> bool: ...
|
||
def any(self: array2d_like[bool]) -> bool: ...
|
||
|
||
def map[R](self, f: Callable[[T], R]) -> array2d[R]: ...
|
||
def apply(self, f: Callable[[T], T]) -> None: ...
|
||
def zip_with[R, U](self, other: array2d_like[U], f: Callable[[T, U], R]) -> array2d[R]: ...
|
||
def copy(self) -> 'array2d[T]': ...
|
||
def tolist(self) -> list[list[T]]: ...
|
||
|
||
def __le__(self, other: T | array2d_like[T]) -> array2d[bool]: ...
|
||
def __lt__(self, other: T | array2d_like[T]) -> array2d[bool]: ...
|
||
def __ge__(self, other: T | array2d_like[T]) -> array2d[bool]: ...
|
||
def __gt__(self, other: T | array2d_like[T]) -> array2d[bool]: ...
|
||
def __eq__(self, other: T | array2d_like[T]) -> array2d[bool]: ... # type: ignore
|
||
def __ne__(self, other: T | array2d_like[T]) -> array2d[bool]: ... # type: ignore
|
||
|
||
def __add__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __sub__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __mul__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __truediv__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __floordiv__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __mod__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __pow__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
|
||
def __and__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __or__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __xor__(self, other: T | array2d_like[T]) -> array2d[T]: ...
|
||
def __invert__(self) -> array2d[T]: ...
|
||
|
||
def __iter__(self) -> Iterator[tuple[vec2i, T]]: ...
|
||
def __repr__(self) -> str: ...
|
||
|
||
@overload
|
||
def __getitem__(self, index: vec2i) -> T: ...
|
||
@overload
|
||
def __getitem__(self, index: tuple[int, int]) -> T: ...
|
||
@overload
|
||
def __getitem__(self, index: tuple[slice, slice]) -> array2d_view[T]: ...
|
||
@overload
|
||
def __getitem__(self, index: tuple[slice, int] | tuple[int, slice]) -> array2d_view[T]: ...
|
||
@overload
|
||
def __getitem__(self, mask: array2d_like[bool]) -> list[T]: ...
|
||
@overload
|
||
def __setitem__(self, index: vec2i, value: T): ...
|
||
@overload
|
||
def __setitem__(self, index: tuple[int, int], value: T): ...
|
||
@overload
|
||
def __setitem__(self, index: tuple[slice, slice], value: T | 'array2d_like[T]'): ...
|
||
@overload
|
||
def __setitem__(self, index: tuple[slice, int] | tuple[int, slice], value: T | 'array2d_like[T]'): ...
|
||
@overload
|
||
def __setitem__(self, mask: array2d_like[bool], value: T): ...
|
||
|
||
# algorithms
|
||
def count(self, value: T) -> int:
|
||
"""Count the number of cells with the given value."""
|
||
|
||
def count_neighbors(self, value: T, neighborhood: Neighborhood) -> array2d[int]:
|
||
"""Count the number of neighbors with the given value for each cell."""
|
||
|
||
def get_bounding_rect(self, value: T) -> tuple[int, int, int, int]:
|
||
"""Get the bounding rectangle of the given value.
|
||
|
||
Returns a tuple `(x, y, width, height)` or raise `ValueError` if the value is not found.
|
||
"""
|
||
|
||
def convolve(self: array2d_like[int], kernel: array2d_like[int], padding: int) -> array2d[int]:
|
||
"""Convolve the array with the given kernel."""
|
||
|
||
def get_connected_components(self, value: T, neighborhood: Neighborhood) -> tuple[array2d[int], int]:
|
||
"""Get connected components of the grid via BFS algorithm.
|
||
|
||
Returns the `visited` array and the number of connected components,
|
||
where `0` means unvisited, and non-zero means the index of the connected component.
|
||
"""
|
||
|
||
|
||
class array2d_view[T](array2d_like[T]):
|
||
@property
|
||
def origin(self) -> vec2i: ...
|
||
|
||
|
||
class array2d[T](array2d_like[T]):
|
||
def __new__(
|
||
cls,
|
||
n_cols: int,
|
||
n_rows: int,
|
||
default: T | Callable[[vec2i], T] | None = None
|
||
): ...
|
||
|
||
@staticmethod
|
||
def fromlist(data: list[list[T]]) -> array2d[T]: ...
|
||
|
||
|
||
class chunked_array2d[T, TContext]:
|
||
def __new__(
|
||
cls,
|
||
chunk_size: int,
|
||
default: T | None = None,
|
||
context_builder: Callable[[vec2i], TContext] | None = None,
|
||
): ...
|
||
|
||
@property
|
||
def chunk_size(self) -> int: ...
|
||
@property
|
||
def default(self) -> T: ...
|
||
@property
|
||
def context_builder(self) -> Callable[[vec2i], TContext] | None: ...
|
||
|
||
def __getitem__(self, index: vec2i) -> T: ...
|
||
def __setitem__(self, index: vec2i, value: T): ...
|
||
def __delitem__(self, index: vec2i): ...
|
||
def __iter__(self) -> Iterator[tuple[vec2i, TContext]]: ...
|
||
def __len__(self) -> int: ...
|
||
|
||
def clear(self) -> None: ...
|
||
def copy(self) -> Self: ...
|
||
|
||
def world_to_chunk(self, world_pos: vec2i) -> tuple[vec2i, vec2i]:
|
||
"""Converts world position to chunk position and local position."""
|
||
|
||
def add_chunk(self, chunk_pos: vec2i) -> TContext: ...
|
||
def remove_chunk(self, chunk_pos: vec2i) -> bool: ...
|
||
def move_chunk(self, src_chunk_pos: vec2i, dst_chunk_pos: vec2i) -> bool: ...
|
||
def get_context(self, chunk_pos: vec2i) -> TContext | None: ...
|
||
|
||
def view(self) -> array2d_view[T]: ...
|
||
def view_rect(self, pos: vec2i, width: int, height: int) -> array2d_view[T]: ...
|
||
def view_chunk(self, chunk_pos: vec2i) -> array2d_view[T]: ...
|
||
def view_chunks(self, chunk_pos: vec2i, width: int, height: int) -> array2d_view[T]: ...</code></pre>
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