matplotlib
diff --git a/‎lib/matplotlib/__init__.pyi
Lines changed: 2 additions & 0 deletions b/‎lib/matplotlib/__init__.pyi
Lines changed: 2 additions & 0 deletions
diff --git a/‎lib/matplotlib/cm.pyi
Lines changed: 2 additions & 0 deletions b/‎lib/matplotlib/cm.pyi
Lines changed: 2 additions & 0 deletions
diff --git a/‎lib/matplotlib/colors.pyi
Lines changed: 15 additions & 11 deletions b/‎lib/matplotlib/colors.pyi
Lines changed: 15 additions & 11 deletions
@@ -112,4 +112,6 @@ def _preprocess_data(
 ) -> Callable: ...
 
 from matplotlib.cm import _colormaps as colormaps
+from matplotlib.cm import _multivar_colormaps as multivar_colormaps
+from matplotlib.cm import _bivar_colormaps as bivar_colormaps
 from matplotlib.colors import _color_sequences as color_sequences
@@ -18,6 +18,8 @@ class ColormapRegistry(Mapping[str, colors.Colormap]):
     def get_cmap(self, cmap: str | colors.Colormap) -> colors.Colormap: ...
 
 _colormaps: ColormapRegistry = ...
+_multivar_colormaps: ColormapRegistry = ...
+_bivar_colormaps: ColormapRegistry = ...
 
 def get_cmap(name: str | colors.Colormap | None = ..., lut: int | None = ...) -> colors.Colormap: ...
 
 
@@ -141,46 +141,45 @@ class ListedColormap(Colormap):
 class MultivarColormap:
     name: str
     colormaps: list[Colormap]
-    combination_mode: str
     n_variates: int
     def __init__(self, name: str, colormaps: list[Colormap], combination_mode: str) -> None: ...
     @overload
     def __call__(
-        self, X: Sequence[Sequence[float]] | np.ndarray, alpha: ArrayLike | None = ..., bytes: bool = ...
+        self, X: Sequence[Sequence[float]] | np.ndarray, alpha: ArrayLike | None = ..., bytes: bool = ..., clip: bool = ...
     ) -> np.ndarray: ...
     @overload
     def __call__(
-        self, X: Sequence[float], alpha: float | None = ..., bytes: bool = ...
+        self, X: Sequence[float], alpha: float | None = ..., bytes: bool = ..., clip: bool = ...
     ) -> tuple[float, float, float, float]: ...
     @overload
     def __call__(
-        self, X: ArrayLike, alpha: ArrayLike | None = ..., bytes: bool = ...
+        self, X: ArrayLike, alpha: ArrayLike | None = ..., bytes: bool = ..., clip: bool = ...
     ) -> tuple[float, float, float, float] | np.ndarray: ...
     def copy(self) -> MultivarColormap: ...
     def __copy__(self) -> MultivarColormap: ...
     def __getitem__(self, item: int) -> Colormap: ...
     def __iter__(self) -> Colormap: ...
     def __len__(self) -> int: ...
     def get_bad(self) -> np.ndarray: ...
-    def resampled(self, lutsize: Sequence[int | None]) -> MultivarColormap: ...
+    def resampled(self, lutshape: Sequence[int | None]) -> MultivarColormap: ...
     def with_extremes(
         self,
         *,
         bad: ColorType | None = ...,
         under: Sequence[ColorType] | None = ...,
         over: Sequence[ColorType] | None = ...
     ) -> MultivarColormap: ...
+    @property
+   
8000
 def combination_mode(self) -> str: ...
     def _repr_html_(self) -> str: ...
     def _repr_png_(self) -> bytes: ...
 
 class BivarColormap:
     name: str
     N: int
     M: int
-    shape: str
     n_variates: int
-    origin: tuple[float, float]
-    def __init__(self, name: str, N: int = ..., M: int | None = ..., shape: str = ..., origin: tuple[float, float] = ...
+    def __init__(self, name: str, N: int = ..., M: int | None = ..., shape: str = ..., origin: Sequence[float] = ...
     ) -> None: ...
     @overload
     def __call__(
@@ -196,13 +195,17 @@ class BivarColormap:
     ) -> tuple[float, float, float, float] | np.ndarray: ...
     @property
     def lut(self) -> np.ndarray: ...
+    @property
+    def shape(self) -> str: ...
+    @property
+    def origin(self) -> tuple[float, float]: ...
     def __copy__(self) -> BivarColormap: ...
     def __getitem__(self, item: int) -> Colormap: ...
     def __eq__(self, other) -> bool: ...
     def get_bad(self) -> np.ndarray: ...
     def get_outside(self) -> np.ndarray: ...
     def copy(self) -> BivarColormap: ...
-    def resampled(self, lutsize: Sequence[int | None]) -> BivarColormap: ...
+    def resampled(self, lutshape: Sequence[int | None], transposed: bool = ...) -> BivarColormap: ...
     def transposed(self) -> BivarColormap: ...
     def reversed(self, axis_0: bool = True, axis_1: bool = True) -> BivarColormap: ...
     def with_extremes(
@@ -211,17 +214,18 @@ class BivarColormap:
         bad: ColorType | None = ...,
         outside: ColorType | None = ...,
         shape: str | None = ...,
+        origin: None | Sequence[float] = ...,
     ) -> MultivarColormap: ...
     def _repr_html_(self) -> str: ...
     def _repr_png_(self) -> bytes: ...
 
 class SegmentedBivarColormap(BivarColormap):
     def __init__(
-        self, patch: np.ndarray, name: str, N: int = ..., shape: str = ..., origin: tuple[float, float] = ...
+        self, patch: np.ndarray, name: str, N: int = ..., shape: str = ..., origin: Sequence[float] = ...
     ) -> None: ...
 
 class BivarColormapFromImage(BivarColormap):
-    def __init__(self, lut: np.ndarray, name: str = ..., shape: str = ..., origin: tuple[float, float] = ...
+    def __init__(self, lut: np.ndarray, name: str = ..., shape: str = ..., origin: Sequence[float] = ...
     ) -> None: ...
 
 class Normalize: