prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  'napari._vispy.layers.image' is not a package
  ## Activating experimental rendering features causes persistent ModuleNotFoundError
  
  Recently, I discovered the two "experimental" features designed to enhance viewer performance with asynchronous rendering. After checking both options in Preferences (under Experimental), the GUI prompted a restart. When attempting to relaunch Napari, the following error is thrown: `ModuleNotFoundError: No module named 'napari._vispy.layers.image.experimental'; 'napari._vispy.layers.image' is not a package`. I tried recreating my virtual environment, installing a different version of Napari, using the `--no-cache-dir` flag with pip to ensure that the installation process did not use cached files...but every new installation of Napari now throws this error.
  
  ## To Reproduce
  
  Steps to reproduce the behavior:
  
  1. Check both experimental rendering options under File/Preferences/Experimental
  2. Restart Napari
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `napari/_vispy/utils/visual.py`
  Content:
  ```
  1 from typing import Tuple
  2 
  3 import numpy as np
  4 from vispy.scene.widgets.viewbox import ViewBox
  5 
  6 from ...layers import (
  7     Image,
  8     Labels,
  9     Layer,
  10     Points,
  11     Shapes,
  12     Surface,
  13     Tracks,
  14     Vectors,
  15 )
  16 from ...utils.config import async_octree
  17 from ...utils.translations import trans
  18 from ..layers.base import VispyBaseLayer
  19 from ..layers.image import VispyImageLayer
  20 from ..layers.labels import VispyLabelsLayer
  21 from ..layers.points import VispyPointsLayer
  22 from ..layers.shapes import VispyShapesLayer
  23 from ..layers.surface import VispySurfaceLayer
  24 from ..layers.tracks import VispyTracksLayer
  25 from ..layers.vectors import VispyVectorsLayer
  26 
  27 layer_to_visual = {
  28     Image: VispyImageLayer,
  29     Labels: VispyLabelsLayer,
  30     Points: VispyPointsLayer,
  31     Shapes: VispyShapesLayer,
  32     Surface: VispySurfaceLayer,
  33     Vectors: VispyVectorsLayer,
  34     Tracks: VispyTracksLayer,
  35 }
  36 
  37 
  38 if async_octree:
  39     from ..layers.image.experimental.octree_image import _OctreeImageBase
  40     from .experimental.vispy_tiled_image_layer import VispyTiledImageLayer
  41 
  42     # Insert _OctreeImageBase in front so it gets picked over plain Image.
  43     new_mapping = {_OctreeImageBase: VispyTiledImageLayer}
  44     new_mapping.update(layer_to_visual)
  45     layer_to_visual = new_mapping
  46 
  47 
  48 def create_vispy_visual(layer: Layer) -> VispyBaseLayer:
  49     """Create vispy visual for a layer based on its layer type.
  50 
  51     Parameters
  52     ----------
  53     layer : napari.layers._base_layer.Layer
  54         Layer that needs its property widget created.
  55 
  56     Returns
  57     -------
  58     visual : vispy.scene.visuals.VisualNode
  59         Vispy visual node
  60     """
  61     for layer_type, visual_class in layer_to_visual.items():
  62         if isinstance(layer, layer_type):
  63             return visual_class(layer)
  64 
  65     raise TypeError(
  66         trans._(
  67             'Could not find VispyLayer for layer of type {dtype}',
  68             deferred=True,
  69             dtype=type(layer),
  70         )
  71     )
  72 
  73 
  74 def get_view_direction_in_scene_coordinates(
  75     view: ViewBox,
  76     ndim: int,
  77     dims_displayed: Tuple[int],
  78 ) -> np.ndarray:
  79     """Calculate the unit vector pointing in the direction of the view.
  80 
  81     This is only for 3D viewing, so it returns None when
  82     len(dims_displayed) == 2.
  83     Adapted From:
  84     https://stackoverflow.com/questions/37877592/
  85         get-view-direction-relative-to-scene-in-vispy/37882984
  86 
  87     Parameters
  88     ----------
  89     view : vispy.scene.widgets.viewbox.ViewBox
  90         The vispy view box object to get the view direction from.
  91     ndim : int
  92         The number of dimensions in the full nD dims model.
  93         This is typically from viewer.dims.ndim
  94     dims_displayed : Tuple[int]
  95         The indices of the dims displayed in the viewer.
  96         This is typically from viewer.dims.displayed.
  97 
  98     Returns
  99     -------
  100     view_vector : np.ndarray
  101         Unit vector in the direction of the view in scene coordinates.
  102         Axes are ordered zyx. If the viewer is in 2D
  103         (i.e., len(dims_displayed) == 2), view_vector is None.
  104     """
  105     # only return a vector when viewing in 3D
  106     if len(dims_displayed) == 2:
  107         return None
  108 
  109     tform = view.scene.transform
  110     w, h = view.canvas.size
  111 
  112     # get a point at the center of the canvas
  113     # (homogeneous screen coords)
  114     screen_center = np.array([w / 2, h / 2, 0, 1])
  115 
  116     # find a point just in front of the center point
  117     # transform both to world coords and find the vector
  118     d1 = np.array([0, 0, 1, 0])
  119     point_in_front_of_screen_center = screen_center + d1
  120     p1 = tform.imap(point_in_front_of_screen_center)
  121     p0 = tform.imap(screen_center)
  122     d2 = p1 - p0
  123 
  124     # in 3D world coordinates
  125     d3 = d2[0:3]
  126     d4 = d3 / np.linalg.norm(d3)
  127 
  128     # data are ordered xyz on vispy Volume
  129     d4 = d4[[2, 1, 0]]
  130     view_dir_world = np.zeros((ndim,))
  131     for i, d in enumerate(dims_displayed):
  132         view_dir_world[d] = d4[i]
  133 
  134     return view_dir_world
  135
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/napari/_vispy/utils/visual.py b/napari/_vispy/utils/visual.py
  --- a/napari/_vispy/utils/visual.py
  +++ b/napari/_vispy/utils/visual.py
  @@ -36,8 +36,8 @@
   
   
   if async_octree:
  -    from ..layers.image.experimental.octree_image import _OctreeImageBase
  -    from .experimental.vispy_tiled_image_layer import VispyTiledImageLayer
  +    from ...layers.image.experimental.octree_image import _OctreeImageBase
  +    from ..experimental.vispy_tiled_image_layer import VispyTiledImageLayer
   
       # Insert _OctreeImageBase in front so it gets picked over plain Image.
       new_mapping = {_OctreeImageBase: VispyTiledImageLayer}
  
verification_info: {"golden_diff": "diff --git a/napari/_vispy/utils/visual.py b/napari/_vispy/utils/visual.py\n--- a/napari/_vispy/utils/visual.py\n+++ b/napari/_vispy/utils/visual.py\n@@ -36,8 +36,8 @@\n \n \n if async_octree:\n-    from ..layers.image.experimental.octree_image import _OctreeImageBase\n-    from .experimental.vispy_tiled_image_layer import VispyTiledImageLayer\n+    from ...layers.image.experimental.octree_image import _OctreeImageBase\n+    from ..experimental.vispy_tiled_image_layer import VispyTiledImageLayer\n \n     # Insert _OctreeImageBase in front so it gets picked over plain Image.\n     new_mapping = {_OctreeImageBase: VispyTiledImageLayer}\n", "issue": "'napari._vispy.layers.image' is not a package\n## Activating experimental rendering features causes persistent ModuleNotFoundError\r\n\r\nRecently, I discovered the two \"experimental\" features designed to enhance viewer performance with asynchronous rendering. After checking both options in Preferences (under Experimental), the GUI prompted a restart. When attempting to relaunch Napari, the following error is thrown: `ModuleNotFoundError: No module named 'napari._vispy.layers.image.experimental'; 'napari._vispy.layers.image' is not a package`. I tried recreating my virtual environment, installing a different version of Napari, using the `--no-cache-dir` flag with pip to ensure that the installation process did not use cached files...but every new installation of Napari now throws this error.\r\n\r\n## To Reproduce\r\n\r\nSteps to reproduce the behavior:\r\n\r\n1. Check both experimental rendering options under File/Preferences/Experimental\r\n2. Restart Napari\r\n\n", "before_files": [{"content": "from typing import Tuple\n\nimport numpy as np\nfrom vispy.scene.widgets.viewbox import ViewBox\n\nfrom ...layers import (\n    Image,\n    Labels,\n    Layer,\n    Points,\n    Shapes,\n    Surface,\n    Tracks,\n    Vectors,\n)\nfrom ...utils.config import async_octree\nfrom ...utils.translations import trans\nfrom ..layers.base import VispyBaseLayer\nfrom ..layers.image import VispyImageLayer\nfrom ..layers.labels import VispyLabelsLayer\nfrom ..layers.points import VispyPointsLayer\nfrom ..layers.shapes import VispyShapesLayer\nfrom ..layers.surface import VispySurfaceLayer\nfrom ..layers.tracks import VispyTracksLayer\nfrom ..layers.vectors import VispyVectorsLayer\n\nlayer_to_visual = {\n    Image: VispyImageLayer,\n    Labels: VispyLabelsLayer,\n    Points: VispyPointsLayer,\n    Shapes: VispyShapesLayer,\n    Surface: VispySurfaceLayer,\n    Vectors: VispyVectorsLayer,\n    Tracks: VispyTracksLayer,\n}\n\n\nif async_octree:\n    from ..layers.image.experimental.octree_image import _OctreeImageBase\n    from .experimental.vispy_tiled_image_layer import VispyTiledImageLayer\n\n    # Insert _OctreeImageBase in front so it gets picked over plain Image.\n    new_mapping = {_OctreeImageBase: VispyTiledImageLayer}\n    new_mapping.update(layer_to_visual)\n    layer_to_visual = new_mapping\n\n\ndef create_vispy_visual(layer: Layer) -> VispyBaseLayer:\n    \"\"\"Create vispy visual for a layer based on its layer type.\n\n    Parameters\n    ----------\n    layer : napari.layers._base_layer.Layer\n        Layer that needs its property widget created.\n\n    Returns\n    -------\n    visual : vispy.scene.visuals.VisualNode\n        Vispy visual node\n    \"\"\"\n    for layer_type, visual_class in layer_to_visual.items():\n        if isinstance(layer, layer_type):\n            return visual_class(layer)\n\n    raise TypeError(\n        trans._(\n            'Could not find VispyLayer for layer of type {dtype}',\n            deferred=True,\n            dtype=type(layer),\n        )\n    )\n\n\ndef get_view_direction_in_scene_coordinates(\n    view: ViewBox,\n    ndim: int,\n    dims_displayed: Tuple[int],\n) -> np.ndarray:\n    \"\"\"Calculate the unit vector pointing in the direction of the view.\n\n    This is only for 3D viewing, so it returns None when\n    len(dims_displayed) == 2.\n    Adapted From:\n    https://stackoverflow.com/questions/37877592/\n        get-view-direction-relative-to-scene-in-vispy/37882984\n\n    Parameters\n    ----------\n    view : vispy.scene.widgets.viewbox.ViewBox\n        The vispy view box object to get the view direction from.\n    ndim : int\n        The number of dimensions in the full nD dims model.\n        This is typically from viewer.dims.ndim\n    dims_displayed : Tuple[int]\n        The indices of the dims displayed in the viewer.\n        This is typically from viewer.dims.displayed.\n\n    Returns\n    -------\n    view_vector : np.ndarray\n        Unit vector in the direction of the view in scene coordinates.\n        Axes are ordered zyx. If the viewer is in 2D\n        (i.e., len(dims_displayed) == 2), view_vector is None.\n    \"\"\"\n    # only return a vector when viewing in 3D\n    if len(dims_displayed) == 2:\n        return None\n\n    tform = view.scene.transform\n    w, h = view.canvas.size\n\n    # get a point at the center of the canvas\n    # (homogeneous screen coords)\n    screen_center = np.array([w / 2, h / 2, 0, 1])\n\n    # find a point just in front of the center point\n    # transform both to world coords and find the vector\n    d1 = np.array([0, 0, 1, 0])\n    point_in_front_of_screen_center = screen_center + d1\n    p1 = tform.imap(point_in_front_of_screen_center)\n    p0 = tform.imap(screen_center)\n    d2 = p1 - p0\n\n    # in 3D world coordinates\n    d3 = d2[0:3]\n    d4 = d3 / np.linalg.norm(d3)\n\n    # data are ordered xyz on vispy Volume\n    d4 = d4[[2, 1, 0]]\n    view_dir_world = np.zeros((ndim,))\n    for i, d in enumerate(dims_displayed):\n        view_dir_world[d] = d4[i]\n\n    return view_dir_world\n", "path": "napari/_vispy/utils/visual.py"}], "after_files": [{"content": "from typing import Tuple\n\nimport numpy as np\nfrom vispy.scene.widgets.viewbox import ViewBox\n\nfrom ...layers import (\n    Image,\n    Labels,\n    Layer,\n    Points,\n    Shapes,\n    Surface,\n    Tracks,\n    Vectors,\n)\nfrom ...utils.config import async_octree\nfrom ...utils.translations import trans\nfrom ..layers.base import VispyBaseLayer\nfrom ..layers.image import VispyImageLayer\nfrom ..layers.labels import VispyLabelsLayer\nfrom ..layers.points import VispyPointsLayer\nfrom ..layers.shapes import VispyShapesLayer\nfrom ..layers.surface import VispySurfaceLayer\nfrom ..layers.tracks import VispyTracksLayer\nfrom ..layers.vectors import VispyVectorsLayer\n\nlayer_to_visual = {\n    Image: VispyImageLayer,\n    Labels: VispyLabelsLayer,\n    Points: VispyPointsLayer,\n    Shapes: VispyShapesLayer,\n    Surface: VispySurfaceLayer,\n    Vectors: VispyVectorsLayer,\n    Tracks: VispyTracksLayer,\n}\n\n\nif async_octree:\n    from ...layers.image.experimental.octree_image import _OctreeImageBase\n    from ..experimental.vispy_tiled_image_layer import VispyTiledImageLayer\n\n    # Insert _OctreeImageBase in front so it gets picked over plain Image.\n    new_mapping = {_OctreeImageBase: VispyTiledImageLayer}\n    new_mapping.update(layer_to_visual)\n    layer_to_visual = new_mapping\n\n\ndef create_vispy_visual(layer: Layer) -> VispyBaseLayer:\n    \"\"\"Create vispy visual for a layer based on its layer type.\n\n    Parameters\n    ----------\n    layer : napari.layers._base_layer.Layer\n        Layer that needs its property widget created.\n\n    Returns\n    -------\n    visual : vispy.scene.visuals.VisualNode\n        Vispy visual node\n    \"\"\"\n    for layer_type, visual_class in layer_to_visual.items():\n        if isinstance(layer, layer_type):\n            return visual_class(layer)\n\n    raise TypeError(\n        trans._(\n            'Could not find VispyLayer for layer of type {dtype}',\n            deferred=True,\n            dtype=type(layer),\n        )\n    )\n\n\ndef get_view_direction_in_scene_coordinates(\n    view: ViewBox,\n    ndim: int,\n    dims_displayed: Tuple[int],\n) -> np.ndarray:\n    \"\"\"Calculate the unit vector pointing in the direction of the view.\n\n    This is only for 3D viewing, so it returns None when\n    len(dims_displayed) == 2.\n    Adapted From:\n    https://stackoverflow.com/questions/37877592/\n        get-view-direction-relative-to-scene-in-vispy/37882984\n\n    Parameters\n    ----------\n    view : vispy.scene.widgets.viewbox.ViewBox\n        The vispy view box object to get the view direction from.\n    ndim : int\n        The number of dimensions in the full nD dims model.\n        This is typically from viewer.dims.ndim\n    dims_displayed : Tuple[int]\n        The indices of the dims displayed in the viewer.\n        This is typically from viewer.dims.displayed.\n\n    Returns\n    -------\n    view_vector : np.ndarray\n        Unit vector in the direction of the view in scene coordinates.\n        Axes are ordered zyx. If the viewer is in 2D\n        (i.e., len(dims_displayed) == 2), view_vector is None.\n    \"\"\"\n    # only return a vector when viewing in 3D\n    if len(dims_displayed) == 2:\n        return None\n\n    tform = view.scene.transform\n    w, h = view.canvas.size\n\n    # get a point at the center of the canvas\n    # (homogeneous screen coords)\n    screen_center = np.array([w / 2, h / 2, 0, 1])\n\n    # find a point just in front of the center point\n    # transform both to world coords and find the vector\n    d1 = np.array([0, 0, 1, 0])\n    point_in_front_of_screen_center = screen_center + d1\n    p1 = tform.imap(point_in_front_of_screen_center)\n    p0 = tform.imap(screen_center)\n    d2 = p1 - p0\n\n    # in 3D world coordinates\n    d3 = d2[0:3]\n    d4 = d3 / np.linalg.norm(d3)\n\n    # data are ordered xyz on vispy Volume\n    d4 = d4[[2, 1, 0]]\n    view_dir_world = np.zeros((ndim,))\n    for i, d in enumerate(dims_displayed):\n        view_dir_world[d] = d4[i]\n\n    return view_dir_world\n", "path": "napari/_vispy/utils/visual.py"}]}