Prevent the ArrayLike type from expanding into a mess in the documentation.

This type will need to be quoted until future annotations are enabled.

Author: HexDecimal

tcod/noise.py

@@ -287,7 +287,7 @@ def __getitem__(self, indexes: Any) -> "np.ndarray[Any, np.dtype[np.float32]]":
 
         return out
 
-    def sample_mgrid(self, mgrid: ArrayLike) -> "np.ndarray[Any, np.dtype[np.float32]]":
+    def sample_mgrid(self, mgrid: "ArrayLike") -> "np.ndarray[Any, np.dtype[np.float32]]":
         """Sample a mesh-grid array and return the result.
 
         The :any:`sample_ogrid` method performs better as there is a lot of
@@ -319,7 +319,7 @@ def sample_mgrid(self, mgrid: ArrayLike) -> "np.ndarray[Any, np.dtype[np.float32
         )
         return out
 
-    def sample_ogrid(self, ogrid: Sequence[ArrayLike]) -> "np.ndarray[Any, np.dtype[np.float32]]":
+    def sample_ogrid(self, ogrid: "Sequence[ArrayLike]") -> "np.ndarray[Any, np.dtype[np.float32]]":
         """Sample an open mesh-grid array and return the result.
 
         Args

tcod/path.py

@@ -135,7 +135,7 @@ class NodeCostArray(np.ndarray):  # type: ignore
         np.uint32: ("uint32_t*", _get_pathcost_func("PathCostArrayUInt32")),
     }
 
-    def __new__(cls, array: ArrayLike) -> "NodeCostArray":
+    def __new__(cls, array: "ArrayLike") -> "NodeCostArray":
         """Validate a numpy array and setup a C callback."""
         self = np.asarray(array).view(cls)
         return self
@@ -353,8 +353,8 @@ def _compile_cost_edges(edge_map: Any) -> Tuple[Any, int]:
 
 
 def dijkstra2d(
-    distance: ArrayLike,
-    cost: ArrayLike,
+    distance: "ArrayLike",
+    cost: "ArrayLike",
     cardinal: Optional[int] = None,
     diagonal: Optional[int] = None,
     *,
@@ -512,7 +512,7 @@ def dijkstra2d(
     return out
 
 
-def _compile_bool_edges(edge_map: ArrayLike) -> Tuple[Any, int]:
+def _compile_bool_edges(edge_map: "ArrayLike") -> Tuple[Any, int]:
     """Return an edge array using a boolean map."""
     edge_map = np.array(edge_map, copy=True)
     edge_center = edge_map.shape[0] // 2, edge_map.shape[1] // 2
@@ -523,7 +523,7 @@ def _compile_bool_edges(edge_map: ArrayLike) -> Tuple[Any, int]:
 
 
 def hillclimb2d(
-    distance: ArrayLike,
+    distance: "ArrayLike",
     start: Tuple[int, int],
     cardinal: Optional[bool] = None,
     diagonal: Optional[bool] = None,
@@ -781,7 +781,7 @@ def add_edge(
     def add_edges(
         self,
         *,
-        edge_map: ArrayLike,
+        edge_map: "ArrayLike",
         cost: "np.ndarray[Any, Any]",
         condition: "Optional[np.ndarray[Any, Any]]" = None,
     ) -> None:
@@ -1024,7 +1024,7 @@ class SimpleGraph:
     .. versionadded:: 11.15
     """
 
-    def __init__(self, *, cost: ArrayLike, cardinal: int, diagonal: int, greed: int = 1):
+    def __init__(self, *, cost: "ArrayLike", cardinal: int, diagonal: int, greed: int = 1):
         cost = np.asarray(cost)
         if cost.ndim != 2:
             raise TypeError("The cost array must e 2 dimensional, array of shape %r given." % (cost.shape,))

tcod/tileset.py

@@ -84,7 +84,7 @@ def get_tile(self, codepoint: int) -> "np.ndarray[Any, np.dtype[np.uint8]]":
         )
         return tile
 
-    def set_tile(self, codepoint: int, tile: ArrayLike) -> None:
+    def set_tile(self, codepoint: int, tile: "ArrayLike") -> None:
         """Upload a tile into this array.
 
         The tile can be in 32-bit color (height, width, rgba), or grey-scale