From dd502e4a9cc0226c7ef60b4cf59a8b5cbb0fb6b5 Mon Sep 17 00:00:00 2001
From: kushalkolar <kushalkolar@gmail.com>
Date: Sat, 28 Jun 2025 21:11:20 -0400
Subject: [PATCH] start separating iw plotting and array logic

---
 fastplotlib/widgets/image_widget/__init__.py |  1 +
 fastplotlib/widgets/image_widget/_array.py   | 79 ++++++++++++++++++++
 fastplotlib/widgets/image_widget/_widget.py  |  3 +-
 3 files changed, 82 insertions(+), 1 deletion(-)
 create mode 100644 fastplotlib/widgets/image_widget/_array.py

diff --git a/fastplotlib/widgets/image_widget/__init__.py b/fastplotlib/widgets/image_widget/__init__.py
index 70a1aa8ae..2c217038e 100644
--- a/fastplotlib/widgets/image_widget/__init__.py
+++ b/fastplotlib/widgets/image_widget/__init__.py
@@ -2,6 +2,7 @@
 
 if IMGUI:
     from ._widget import ImageWidget
+    from ._array import ImageWidgetArray
 
 else:
 
diff --git a/fastplotlib/widgets/image_widget/_array.py b/fastplotlib/widgets/image_widget/_array.py
new file mode 100644
index 000000000..bfc8c8c92
--- /dev/null
+++ b/fastplotlib/widgets/image_widget/_array.py
@@ -0,0 +1,79 @@
+import numpy as np
+from numpy.typing import NDArray
+from typing import Literal, Callable
+
+
+class ImageWidgetArray:
+    def __init__(
+            self,
+            data: NDArray,
+            window_functions: dict = None,
+            frame_apply: Callable = None,
+            display_dims: Literal[2, 3] = 2,
+            dim_names: str = "tzxy",
+    ):
+        self._data = data
+        self._window_functions = window_functions
+        self._frame_apply = frame_apply
+        self._dim_names = dim_names
+
+        for k in self._window_functions:
+            if k not in dim_names:
+                raise KeyError
+
+        self._display_dims = display_dims
+
+    @property
+    def data(self) -> NDArray:
+        return self._data
+
+    @data.setter
+    def data(self, data: NDArray):
+        self._data = data
+
+    @property
+    def window_functions(self) -> dict | None:
+        return self._window_functions
+
+    @window_functions.setter
+    def window_functions(self, wf: dict | None):
+        self._window_functions = wf
+
+    @property
+    def frame_apply(self, fa: Callable | None):
+        self._frame_apply = fa
+
+    @frame_apply.setter
+    def frame_apply(self) -> Callable | None:
+        return self._frame_apply
+
+    def _apply_window_functions(self, array: NDArray, key):
+        if self.window_functions is not None:
+            for dim_name in self._window_functions.keys():
+                dim_index = self._dim_names.index(dim_name)
+
+                window_size = self.window_functions[dim_name][1]
+                half_window_size = int((window_size - 1) / 2)
+
+                max_bound = self._data.shape[dim_index]
+
+                window_indices = range()
+
+        else:
+            array = array[key]
+
+        return array
+
+    def __getitem__(self, key):
+        data = self._data
+
+
+        data = self._apply_window_functions(data, key)
+
+        if self.frame_apply is not None:
+            data = self.frame_apply(data)
+
+        if data.ndim != self._display_dims:
+            raise ValueError
+
+        return data
diff --git a/fastplotlib/widgets/image_widget/_widget.py b/fastplotlib/widgets/image_widget/_widget.py
index 650097951..479e45914 100644
--- a/fastplotlib/widgets/image_widget/_widget.py
+++ b/fastplotlib/widgets/image_widget/_widget.py
@@ -1,4 +1,3 @@
-from copy import deepcopy
 from typing import Callable
 from warnings import warn
 
@@ -11,6 +10,7 @@
 from ...utils import calculate_figure_shape, quick_min_max
 from ...tools import HistogramLUTTool
 from ._sliders import ImageWidgetSliders
+from ._array import ImageWidgetArray
 
 
 # Number of dimensions that represent one image/one frame
@@ -289,6 +289,7 @@ def _get_n_scrollable_dims(self, curr_arr: np.ndarray, rgb: bool) -> list[int]:
     def __init__(
         self,
         data: np.ndarray | list[np.ndarray],
+        array_types: ImageWidgetArray | list[ImageWidgetArray] = ImageWidgetArray,
         window_funcs: dict[str, tuple[Callable, int]] = None,
         frame_apply: Callable | dict[int, Callable] = None,
         figure_shape: tuple[int, int] = None,

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