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@@ -62,22 +62,22 @@ class array2d_like[T]:
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# algorithms
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def count(self, value: T) -> int:
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- """Counts the number of cells with the given value."""
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+ """Count the number of cells with the given value."""
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def count_neighbors(self, value: T, neighborhood: Neighborhood) -> array2d[int]:
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- """Counts the number of neighbors with the given value for each cell."""
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+ """Count the number of neighbors with the given value for each cell."""
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def get_bounding_rect(self, value: T) -> tuple[int, int, int, int]:
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- """Gets the bounding rectangle of the given value.
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+ """Get the bounding rectangle of the given value.
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Returns a tuple `(x, y, width, height)` or raise `ValueError` if the value is not found.
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"""
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def convolve(self: array2d_like[int], kernel: array2d_like[int], padding: int) -> array2d[int]:
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- """Convolves the array with the given kernel."""
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+ """Convolve the array with the given kernel."""
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def get_connected_components(self, value: T, neighborhood: Neighborhood) -> tuple[array2d[int], int]:
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- """Gets connected components of the grid.
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+ """Get connected components of the grid.
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Returns the `visited` array and the number of connected components,
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where `0` means unvisited, and non-zero means the index of the connected component.
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@@ -119,7 +119,9 @@ class chunked_array2d[T, TContext]:
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def clear(self) -> None: ...
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- def world_to_chunk(self, world_pos: vec2i) -> tuple[vec2i, vec2i]: ...
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+ def world_to_chunk(self, world_pos: vec2i) -> tuple[vec2i, vec2i]:
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+ """Convert world position to chunk position and local position."""
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+
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def add_chunk(self, chunk_pos: vec2i) -> TContext: ...
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def remove_chunk(self, chunk_pos: vec2i) -> bool: ...
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def get_context(self, chunk_pos: vec2i) -> TContext | None: ...
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