# THIS FILE IS AUTOGENERATED BY napari.utils.stubgen
# DO NOT EDIT
# flake8: noqa

import pathlib
from typing import *

import napari.layers.image.image
import napari.viewer


def view_image(
    data=None,
    *,
    channel_axis=None,
    rgb=None,
    colormap=None,
    contrast_limits=None,
    gamma=1,
    interpolation2d="nearest",
    interpolation3d="linear",
    rendering="mip",
    depiction="volume",
    iso_threshold=0.5,
    attenuation=0.05,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=1,
    blending=None,
    visible=True,
    multiscale=None,
    cache=True,
    plane=None,
    experimental_clipping_planes=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add an image layer.

    Parameters
    ----------
    data : array or list of array
        Image data. Can be N >= 2 dimensional. If the last dimension has length
        3 or 4 can be interpreted as RGB or RGBA if rgb is `True`. If a
        list and arrays are decreasing in shape then the data is treated as
        a multiscale image. Please note multiscale rendering is only
        supported in 2D. In 3D, only the lowest resolution scale is
        displayed.
    channel_axis : int, optional
        Axis to expand image along.  If provided, each channel in the data
        will be added as an individual image layer.  In channel_axis mode,
        all other parameters MAY be provided as lists, and the Nth value
        will be applied to the Nth channel in the data.  If a single value
        is provided, it will be broadcast to all Layers.
    rgb : bool or list
        Whether the image is rgb RGB or RGBA. If not specified by user and
        the last dimension of the data has length 3 or 4 it will be set as
        `True`. If `False` the image is interpreted as a luminance image.
        If a list then must be same length as the axis that is being
        expanded as channels.
    colormap : str, napari.utils.Colormap, tuple, dict, list
        Colormaps to use for luminance images. If a string must be the name
        of a supported colormap from vispy or matplotlib. If a tuple the
        first value must be a string to assign as a name to a colormap and
        the second item must be a Colormap. If a dict the key must be a
        string to assign as a name to a colormap and the value must be a
        Colormap. If a list then must be same length as the axis that is
        being expanded as channels, and each colormap is applied to each
        new image layer.
    contrast_limits : list (2,)
        Color limits to be used for determining the colormap bounds for
        luminance images. If not passed is calculated as the min and max of
        the image. If list of lists then must be same length as the axis
        that is being expanded and then each colormap is applied to each
        image.
    gamma : list, float
        Gamma correction for determining colormap linearity. Defaults to 1.
        If a list then must be same length as the axis that is being
        expanded as channels.
    interpolation : str or list
        Deprecated, to be removed in 0.6.0
    interpolation2d : str or list
        Interpolation mode used by vispy in 2D. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    interpolation3d : str or list
        Interpolation mode used by vispy in 3D. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    rendering : str or list
        Rendering mode used by vispy. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    depiction : str
        Selects a preset volume depiction mode in vispy

        * volume: images are rendered as 3D volumes.
        * plane: images are rendered as 2D planes embedded in 3D.
    iso_threshold : float or list
        Threshold for isosurface. If a list then must be same length as the
        axis that is being expanded as channels.
    attenuation : float or list
        Attenuation rate for attenuated maximum intensity projection. If a
        list then must be same length as the axis that is being expanded as
        channels.
    name : str or list of str
        Name of the layer.  If a list then must be same length as the axis
        that is being expanded as channels.
    metadata : dict or list of dict
        Layer metadata. If a list then must be a list of dicts with the
        same length as the axis that is being expanded as channels.
    scale : tuple of float or list
        Scale factors for the layer. If a list then must be a list of
        tuples of float with the same length as the axis that is being
        expanded as channels.
    translate : tuple of float or list
        Translation values for the layer. If a list then must be a list of
        tuples of float with the same length as the axis that is being
        expanded as channels.
    rotate : float, 3-tuple of float, n-D array or list.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed. If a list then must have same length as
        the axis that is being expanded as channels.
    shear : 1-D array or list.
        A vector of shear values for an upper triangular n-D shear matrix.
        If a list then must have same length as the axis that is being
        expanded as channels.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a
        napari `Affine` transform object. Applied as an extra transform on
        top of the provided scale, rotate, and shear values.
    opacity : float or list
        Opacity of the layer visual, between 0.0 and 1.0.  If a list then
        must be same length as the axis that is being expanded as channels.
    blending : str or list
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}. If a list then
        must be same length as the axis that is being expanded as channels.
    visible : bool or list of bool
        Whether the layer visual is currently being displayed.
        If a list then must be same length as the axis that is
        being expanded as channels.
    multiscale : bool
        Whether the data is a multiscale image or not. Multiscale data is
        represented by a list of array like image data. If not specified by
        the user and if the data is a list of arrays that decrease in shape
        then it will be taken to be multiscale. The first image in the list
        should be the largest. Please note multiscale rendering is only
        supported in 2D. In 3D, only the lowest resolution scale is
        displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon
        retrieval. Currently, this only applies to dask arrays.
    plane : dict or SlicingPlane
        Properties defining plane rendering in 3D. Properties are defined in
        data coordinates. Valid dictionary keys are
        {'position', 'normal', 'thickness', and 'enabled'}.
    experimental_clipping_planes : list of dicts, list of ClippingPlane, or ClippingPlaneList
        Each dict defines a clipping plane in 3D in data coordinates.
        Valid dictionary keys are {'position', 'normal', and 'enabled'}.
        Values on the negative side of the normal are discarded if the plane is enabled.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_labels(
    data,
    *,
    num_colors=50,
    features=None,
    properties=None,
    color=None,
    seed=0.5,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=0.7,
    blending="translucent",
    rendering="iso_categorical",
    depiction="volume",
    visible=True,
    multiscale=None,
    cache=True,
    plane=None,
    experimental_clipping_planes=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a labels layer.

    Parameters
    ----------
    data : array or list of array
        Labels data as an array or multiscale. Must be integer type or bools.
        Please note multiscale rendering is only supported in 2D. In 3D, only
        the lowest resolution scale is displayed.
    num_colors : int
        Number of unique colors to use in colormap.
    features : dict[str, array-like] or DataFrame
        Features table where each row corresponds to a label and each column
        is a feature. The first row corresponds to the background label.
    properties : dict {str: array (N,)} or DataFrame
        Properties for each label. Each property should be an array of length
        N, where N is the number of labels, and the first property corresponds
        to background.
    color : dict of int to str or array
        Custom label to color mapping. Values must be valid color names or RGBA
        arrays.
    seed : float
        Seed for colormap random generator.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    rendering : str
        3D Rendering mode used by vispy. Must be one {'translucent', 'iso_categorical'}.
        'translucent' renders without lighting. 'iso_categorical' uses isosurface
        rendering to calculate lighting effects on labeled surfaces.
        The default value is 'iso_categorical'.
    depiction : str
        3D Depiction mode. Must be one of {'volume', 'plane'}.
        The default value is 'volume'.
    visible : bool
        Whether the layer visual is currently being displayed.
    multiscale : bool
        Whether the data is a multiscale image or not. Multiscale data is
        represented by a list of array like image data. If not specified by
        the user and if the data is a list of arrays that decrease in shape
        then it will be taken to be multiscale. The first image in the list
        should be the largest. Please note multiscale rendering is only
        supported in 2D. In 3D, only the lowest resolution scale is
        displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
    plane : dict or SlicingPlane
        Properties defining plane rendering in 3D. Properties are defined in
        data coordinates. Valid dictionary keys are
        {'position', 'normal', 'thickness', and 'enabled'}.
    experimental_clipping_planes : list of dicts, list of ClippingPlane, or ClippingPlaneList
        Each dict defines a clipping plane in 3D in data coordinates.
        Valid dictionary keys are {'position', 'normal', and 'enabled'}.
        Values on the negative side of the normal are discarded if the plane is enabled.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_path(
    path: Union[str, pathlib.Path, Sequence[Union[str, pathlib.Path]]],
    *,
    stack: Union[bool, List[List[str]]] = False,
    plugin: Optional[str] = "napari",
    layer_type: Optional[str] = None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True,
    **kwargs
) -> napari.viewer.Viewer:
    """Create a viewer and add a path layer.

    Parameters
    ----------
    path : str or list of str
        A filepath, directory, or URL (or a list of any) to open.
    stack : bool or list[list[str]], optional
        If a list of strings is passed as ``path`` and ``stack`` is ``True``, then the
        entire list will be passed to plugins.  It is then up to individual
        plugins to know how to handle a list of paths.  If ``stack`` is
        ``False``, then the ``path`` list is broken up and passed to plugin
        readers one by one.  by default False.
        If the stack option is a list of lists containing individual paths,
        the inner lists are passedto the reader and will be stacked.
    plugin : str, optional
        Name of a plugin to use, by default builtins.  If provided, will
        force ``path`` to be read with the specified ``plugin``.
        If None, ``plugin`` will be read from preferences or inferred if just
        one reader is compatible.
        If the requested plugin cannot read ``path``, an exception will be raised.
    layer_type : str, optional
        If provided, will force data read from ``path`` to be passed to the
        corresponding ``add_<layer_type>`` method (along with any
        additional) ``kwargs`` provided to this function.  This *may*
        result in exceptions if the data returned from the path is not
        compatible with the layer_type.
    **kwargs
        All other keyword arguments will be passed on to the respective
        ``add_layer`` method.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_points(
    data=None,
    *,
    ndim=None,
    features=None,
    properties=None,
    text=None,
    symbol="o",
    size=10,
    edge_width=0.05,
    edge_width_is_relative=True,
    edge_color="dimgray",
    edge_color_cycle=None,
    edge_colormap="viridis",
    edge_contrast_limits=None,
    face_color="white",
    face_color_cycle=None,
    face_colormap="viridis",
    face_contrast_limits=None,
    out_of_slice_display=False,
    n_dimensional=None,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=1,
    blending="translucent",
    visible=True,
    cache=True,
    property_choices=None,
    experimental_clipping_planes=None,
    shading="none",
    canvas_size_limits=(2, 10000),
    antialiasing=1,
    shown=True,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a points layer.

    Parameters
    ----------
    data : array (N, D)
        Coordinates for N points in D dimensions.
    ndim : int
        Number of dimensions for shapes. When data is not None, ndim must be D.
        An empty points layer can be instantiated with arbitrary ndim.
    features : dict[str, array-like] or DataFrame
        Features table where each row corresponds to a point and each column
        is a feature.
    properties : dict {str: array (N,)}, DataFrame
        Properties for each point. Each property should be an array of length N,
        where N is the number of points.
    property_choices : dict {str: array (N,)}
        possible values for each property.
    text : str, dict
        Text to be displayed with the points. If text is set to a key in properties,
        the value of that property will be displayed. Multiple properties can be
        composed using f-string-like syntax (e.g., '{property_1}, {float_property:.2f}).
        A dictionary can be provided with keyword arguments to set the text values
        and display properties. See TextManager.__init__() for the valid keyword arguments.
        For example usage, see /napari/examples/add_points_with_text.py.
    symbol : str
        Symbol to be used for the point markers. Must be one of the
        following: arrow, clobber, cross, diamond, disc, hbar, ring,
        square, star, tailed_arrow, triangle_down, triangle_up, vbar, x.
    size : float, array
        Size of the point marker in data pixels. If given as a scalar, all points are made
        the same size. If given as an array, size must be the same or broadcastable
        to the same shape as the data.
    edge_width : float, array
        Width of the symbol edge in pixels.
    edge_width_is_relative : bool
        If enabled, edge_width is interpreted as a fraction of the point size.
    edge_color : str, array-like, dict
        Color of the point marker border. Numeric color values should be RGB(A).
    edge_color_cycle : np.ndarray, list
        Cycle of colors (provided as string name, RGB, or RGBA) to map to edge_color if a
        categorical attribute is used color the vectors.
    edge_colormap : str, napari.utils.Colormap
        Colormap to set edge_color if a continuous attribute is used to set face_color.
    edge_contrast_limits : None, (float, float)
        clims for mapping the property to a color map. These are the min and max value
        of the specified property that are mapped to 0 and 1, respectively.
        The default value is None. If set the none, the clims will be set to
        (property.min(), property.max())
    face_color : str, array-like, dict
        Color of the point marker body. Numeric color values should be RGB(A).
    face_color_cycle : np.ndarray, list
        Cycle of colors (provided as string name, RGB, or RGBA) to map to face_color if a
        categorical attribute is used color the vectors.
    face_colormap : str, napari.utils.Colormap
        Colormap to set face_color if a continuous attribute is used to set face_color.
    face_contrast_limits : None, (float, float)
        clims for mapping the property to a color map. These are the min and max value
        of the specified property that are mapped to 0 and 1, respectively.
        The default value is None. If set the none, the clims will be set to
        (property.min(), property.max())
    out_of_slice_display : bool
        If True, renders points not just in central plane but also slightly out of slice
        according to specified point marker size.
    n_dimensional : bool
        This property will soon be deprecated in favor of 'out_of_slice_display'.
        Use that instead.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    visible : bool
        Whether the layer visual is currently being displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
    shading : str, Shading
        Render lighting and shading on points. Options are:

        * 'none'
          No shading is added to the points.
        * 'spherical'
          Shading and depth buffer are changed to give a 3D spherical look to the points
    antialiasing: float
        Amount of antialiasing in canvas pixels.
    canvas_size_limits : tuple of float
        Lower and upper limits for the size of points in canvas pixels.
    shown : 1-D array of bool
        Whether to show each point.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_shapes(
    data=None,
    *,
    ndim=None,
    features=None,
    properties=None,
    property_choices=None,
    text=None,
    shape_type="rectangle",
    edge_width=1,
    edge_color="#777777",
    edge_color_cycle=None,
    edge_colormap="viridis",
    edge_contrast_limits=None,
    face_color="white",
    face_color_cycle=None,
    face_colormap="viridis",
    face_contrast_limits=None,
    z_index=0,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=0.7,
    blending="translucent",
    visible=True,
    cache=True,
    experimental_clipping_planes=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a shapes layer.

    Parameters
    ----------
    data : list or array
        List of shape data, where each element is an (N, D) array of the
        N vertices of a shape in D dimensions. Can be an 3-dimensional
        array if each shape has the same number of vertices.
    ndim : int
        Number of dimensions for shapes. When data is not None, ndim must be D.
        An empty shapes layer can be instantiated with arbitrary ndim.
    features : dict[str, array-like] or Dataframe-like
        Features table where each row corresponds to a shape and each column
        is a feature.
    properties : dict {str: array (N,)}, DataFrame
        Properties for each shape. Each property should be an array of length N,
        where N is the number of shapes.
    property_choices : dict {str: array (N,)}
        possible values for each property.
    text : str, dict
        Text to be displayed with the shapes. If text is set to a key in properties,
        the value of that property will be displayed. Multiple properties can be
        composed using f-string-like syntax (e.g., '{property_1}, {float_property:.2f}).
        A dictionary can be provided with keyword arguments to set the text values
        and display properties. See TextManager.__init__() for the valid keyword arguments.
        For example usage, see /napari/examples/add_shapes_with_text.py.
    shape_type : string or list
        String of shape shape_type, must be one of "{'line', 'rectangle',
        'ellipse', 'path', 'polygon'}". If a list is supplied it must be
        the same length as the length of `data` and each element will be
        applied to each shape otherwise the same value will be used for all
        shapes.
    edge_width : float or list
        Thickness of lines and edges. If a list is supplied it must be the
        same length as the length of `data` and each element will be
        applied to each shape otherwise the same value will be used for all
        shapes.
    edge_color : str, array-like
        If string can be any color name recognized by vispy or hex value if
        starting with `#`. If array-like must be 1-dimensional array with 3
        or 4 elements. If a list is supplied it must be the same length as
        the length of `data` and each element will be applied to each shape
        otherwise the same value will be used for all shapes.
    edge_color_cycle : np.ndarray, list
        Cycle of colors (provided as string name, RGB, or RGBA) to map to edge_color if a
        categorical attribute is used color the vectors.
    edge_colormap : str, napari.utils.Colormap
        Colormap to set edge_color if a continuous attribute is used to set face_color.
    edge_contrast_limits : None, (float, float)
        clims for mapping the property to a color map. These are the min and max value
        of the specified property that are mapped to 0 and 1, respectively.
        The default value is None. If set the none, the clims will be set to
        (property.min(), property.max())
    face_color : str, array-like
        If string can be any color name recognized by vispy or hex value if
        starting with `#`. If array-like must be 1-dimensional array with 3
        or 4 elements. If a list is supplied it must be the same length as
        the length of `data` and each element will be applied to each shape
        otherwise the same value will be used for all shapes.
    face_color_cycle : np.ndarray, list
        Cycle of colors (provided as string name, RGB, or RGBA) to map to face_color if a
        categorical attribute is used color the vectors.
    face_colormap : str, napari.utils.Colormap
        Colormap to set face_color if a continuous attribute is used to set face_color.
    face_contrast_limits : None, (float, float)
        clims for mapping the property to a color map. These are the min and max value
        of the specified property that are mapped to 0 and 1, respectively.
        The default value is None. If set the none, the clims will be set to
        (property.min(), property.max())
    z_index : int or list
        Specifier of z order priority. Shapes with higher z order are
        displayed ontop of others. If a list is supplied it must be the
        same length as the length of `data` and each element will be
        applied to each shape otherwise the same value will be used for all
        shapes.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    visible : bool
        Whether the layer visual is currently being displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_surface(
    data,
    *,
    colormap="gray",
    contrast_limits=None,
    gamma=1,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=1,
    blending="translucent",
    shading="flat",
    visible=True,
    cache=True,
    experimental_clipping_planes=None,
    wireframe=None,
    normals=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a surface layer.

    Parameters
    ----------
    data : 2-tuple or 3-tuple of array
        The first element of the tuple is an (N, D) array of vertices of
        mesh triangles. The second is an (M, 3) array of int of indices
        of the mesh triangles. The optional third element is the
        (K0, ..., KL, N) array of values used to color vertices where the
        additional L dimensions are used to color the same mesh with
        different values. If not provided, it defaults to ones.
    colormap : str, napari.utils.Colormap, tuple, dict
        Colormap to use for luminance images. If a string must be the name
        of a supported colormap from vispy or matplotlib. If a tuple the
        first value must be a string to assign as a name to a colormap and
        the second item must be a Colormap. If a dict the key must be a
        string to assign as a name to a colormap and the value must be a
        Colormap.
    contrast_limits : list (2,)
        Color limits to be used for determining the colormap bounds for
        luminance images. If not passed is calculated as the min and max of
        the image.
    gamma : float
        Gamma correction for determining colormap linearity. Defaults to 1.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    shading : str, Shading
        One of a list of preset shading modes that determine the lighting model
        using when rendering the surface in 3D.

        * ``Shading.NONE``
          Corresponds to ``shading='none'``.
        * ``Shading.FLAT``
          Corresponds to ``shading='flat'``.
        * ``Shading.SMOOTH``
          Corresponds to ``shading='smooth'``.
    visible : bool
        Whether the layer visual is currently being displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
    wireframe : dict or SurfaceWireframe
        Whether and how to display the edges of the surface mesh with a wireframe.
    normals : dict or SurfaceNormals
        Whether and how to display the face and vertex normals of the surface mesh.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_tracks(
    data,
    *,
    features=None,
    properties=None,
    graph=None,
    tail_width=2,
    tail_length=30,
    head_length=0,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=1,
    blending="additive",
    visible=True,
    colormap="turbo",
    color_by="track_id",
    colormaps_dict=None,
    cache=True,
    experimental_clipping_planes=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a tracks layer.

    Parameters
    ----------
    data : array (N, D+1)
        Coordinates for N points in D+1 dimensions. ID,T,(Z),Y,X. The first
        axis is the integer ID of the track. D is either 3 or 4 for planar
        or volumetric timeseries respectively.
    features : Dataframe-like
        Features table where each row corresponds to a point and each column
        is a feature.
    properties : dict {str: array (N,)}, DataFrame
        Properties for each point. Each property should be an array of length N,
        where N is the number of points.
    graph : dict {int: list}
        Graph representing associations between tracks. Dictionary defines the
        mapping between a track ID and the parents of the track. This can be
        one (the track has one parent, and the parent has >=1 child) in the
        case of track splitting, or more than one (the track has multiple
        parents, but only one child) in the case of track merging.
        See examples/tracks_3d_with_graph.py
    color_by : str
        Track property (from property keys) by which to color vertices.
    tail_width : float
        Width of the track tails in pixels.
    tail_length : float
        Length of the positive (backward in time) tails in units of time.
    head_length : float
        Length of the positive (forward in time) tails in units of time.
    colormap : str
        Default colormap to use to set vertex colors. Specialized colormaps,
        relating to specified properties can be passed to the layer via
        colormaps_dict.
    colormaps_dict : dict {str: napari.utils.Colormap}
        Optional dictionary mapping each property to a colormap for that
        property. This allows each property to be assigned a specific colormap,
        rather than having a global colormap for everything.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    visible : bool
        Whether the layer visual is currently being displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def view_vectors(
    data=None,
    *,
    ndim=None,
    features=None,
    properties=None,
    property_choices=None,
    edge_width=1,
    edge_color="red",
    edge_color_cycle=None,
    edge_colormap="viridis",
    edge_contrast_limits=None,
    out_of_slice_display=False,
    length=1,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=0.7,
    blending="translucent",
    visible=True,
    cache=True,
    experimental_clipping_planes=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> napari.viewer.Viewer:
    """Create a viewer and add a vectors layer.

    Parameters
    ----------
    data : (N, 2, D) or (N1, N2, ..., ND, D) array
        An (N, 2, D) array is interpreted as "coordinate-like" data and a
        list of N vectors with start point and projections of the vector in
        D dimensions. An (N1, N2, ..., ND, D) array is interpreted as
        "image-like" data where there is a length D vector of the
        projections at each pixel.
    ndim : int
        Number of dimensions for vectors. When data is not None, ndim must be D.
        An empty vectors layer can be instantiated with arbitrary ndim.
    features : dict[str, array-like] or DataFrame
        Features table where each row corresponds to a vector and each column
        is a feature.
    properties : dict {str: array (N,)}, DataFrame
        Properties for each vector. Each property should be an array of length N,
        where N is the number of vectors.
    property_choices : dict {str: array (N,)}
        possible values for each property.
    edge_width : float
        Width for all vectors in pixels.
    length : float
        Multiplicative factor on projections for length of all vectors.
    edge_color : str
        Color of all of the vectors.
    edge_color_cycle : np.ndarray, list
        Cycle of colors (provided as string name, RGB, or RGBA) to map to edge_color if a
        categorical attribute is used color the vectors.
    edge_colormap : str, napari.utils.Colormap
        Colormap to set vector color if a continuous attribute is used to set edge_color.
    edge_contrast_limits : None, (float, float)
        clims for mapping the property to a color map. These are the min and max value
        of the specified property that are mapped to 0 and 1, respectively.
        The default value is None. If set the none, the clims will be set to
        (property.min(), property.max())
    out_of_slice_display : bool
        If True, renders vectors not just in central plane but also slightly out of slice
        according to specified point marker size.
    name : str
        Name of the layer.
    metadata : dict
        Layer metadata.
    scale : tuple of float
        Scale factors for the layer.
    translate : tuple of float
        Translation values for the layer.
    rotate : float, 3-tuple of float, or n-D array.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed.
    shear : 1-D array or n-D array
        Either a vector of upper triangular values, or an nD shear matrix with
        ones along the main diagonal.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a napari
        `Affine` transform object. Applied as an extra transform on top of the
        provided scale, rotate, and shear values.
    opacity : float
        Opacity of the layer visual, between 0.0 and 1.0.
    blending : str
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}.
    visible : bool
        Whether the layer visual is currently being displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon retrieval.
        Currently, this only applies to dask arrays.
        title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.


    Returns
    -------
    viewer : :class:`napari.Viewer`
        The newly-created viewer."""


def imshow(
    data,
    *,
    channel_axis=None,
    rgb=None,
    colormap=None,
    contrast_limits=None,
    gamma=1,
    interpolation2d="nearest",
    interpolation3d="linear",
    rendering="mip",
    depiction="volume",
    iso_threshold=0.5,
    attenuation=0.05,
    name=None,
    metadata=None,
    scale=None,
    translate=None,
    rotate=None,
    shear=None,
    affine=None,
    opacity=1,
    blending=None,
    visible=True,
    multiscale=None,
    cache=True,
    plane=None,
    experimental_clipping_planes=None,
    viewer=None,
    title="napari",
    ndisplay=2,
    order=(),
    axis_labels=(),
    show=True
) -> Tuple[napari.viewer.Viewer, List[napari.layers.image.image.Image]]:
    """Load data into an Image layer and return the Viewer and Layer.

    Parameters
    ----------
    data : array or list of array
        Image data. Can be N >= 2 dimensional. If the last dimension has length
        3 or 4 can be interpreted as RGB or RGBA if rgb is `True`. If a
        list and arrays are decreasing in shape then the data is treated as
        a multiscale image. Please note multiscale rendering is only
        supported in 2D. In 3D, only the lowest resolution scale is
        displayed.
    channel_axis : int, optional
        Axis to expand image along.  If provided, each channel in the data
        will be added as an individual image layer.  In channel_axis mode,
        all other parameters MAY be provided as lists, and the Nth value
        will be applied to the Nth channel in the data.  If a single value
        is provided, it will be broadcast to all Layers.
    rgb : bool or list
        Whether the image is rgb RGB or RGBA. If not specified by user and
        the last dimension of the data has length 3 or 4 it will be set as
        `True`. If `False` the image is interpreted as a luminance image.
        If a list then must be same length as the axis that is being
        expanded as channels.
    colormap : str, napari.utils.Colormap, tuple, dict, list
        Colormaps to use for luminance images. If a string must be the name
        of a supported colormap from vispy or matplotlib. If a tuple the
        first value must be a string to assign as a name to a colormap and
        the second item must be a Colormap. If a dict the key must be a
        string to assign as a name to a colormap and the value must be a
        Colormap. If a list then must be same length as the axis that is
        being expanded as channels, and each colormap is applied to each
        new image layer.
    contrast_limits : list (2,)
        Color limits to be used for determining the colormap bounds for
        luminance images. If not passed is calculated as the min and max of
        the image. If list of lists then must be same length as the axis
        that is being expanded and then each colormap is applied to each
        image.
    gamma : list, float
        Gamma correction for determining colormap linearity. Defaults to 1.
        If a list then must be same length as the axis that is being
        expanded as channels.
    interpolation : str or list
        Deprecated, to be removed in 0.6.0
    interpolation2d : str or list
        Interpolation mode used by vispy in 2D. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    interpolation3d : str or list
        Interpolation mode used by vispy in 3D. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    rendering : str or list
        Rendering mode used by vispy. Must be one of our supported
        modes. If a list then must be same length as the axis that is being
        expanded as channels.
    depiction : str
        Selects a preset volume depiction mode in vispy

        * volume: images are rendered as 3D volumes.
        * plane: images are rendered as 2D planes embedded in 3D.
    iso_threshold : float or list
        Threshold for isosurface. If a list then must be same length as the
        axis that is being expanded as channels.
    attenuation : float or list
        Attenuation rate for attenuated maximum intensity projection. If a
        list then must be same length as the axis that is being expanded as
        channels.
    name : str or list of str
        Name of the layer.  If a list then must be same length as the axis
        that is being expanded as channels.
    metadata : dict or list of dict
        Layer metadata. If a list then must be a list of dicts with the
        same length as the axis that is being expanded as channels.
    scale : tuple of float or list
        Scale factors for the layer. If a list then must be a list of
        tuples of float with the same length as the axis that is being
        expanded as channels.
    translate : tuple of float or list
        Translation values for the layer. If a list then must be a list of
        tuples of float with the same length as the axis that is being
        expanded as channels.
    rotate : float, 3-tuple of float, n-D array or list.
        If a float convert into a 2D rotation matrix using that value as an
        angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
        pitch, roll convention. Otherwise assume an nD rotation. Angles are
        assumed to be in degrees. They can be converted from radians with
        np.degrees if needed. If a list then must have same length as
        the axis that is being expanded as channels.
    shear : 1-D array or list.
        A vector of shear values for an upper triangular n-D shear matrix.
        If a list then must have same length as the axis that is being
        expanded as channels.
    affine : n-D array or napari.utils.transforms.Affine
        (N+1, N+1) affine transformation matrix in homogeneous coordinates.
        The first (N, N) entries correspond to a linear transform and
        the final column is a length N translation vector and a 1 or a
        napari `Affine` transform object. Applied as an extra transform on
        top of the provided scale, rotate, and shear values.
    opacity : float or list
        Opacity of the layer visual, between 0.0 and 1.0.  If a list then
        must be same length as the axis that is being expanded as channels.
    blending : str or list
        One of a list of preset blending modes that determines how RGB and
        alpha values of the layer visual get mixed. Allowed values are
        {'opaque', 'translucent', and 'additive'}. If a list then
        must be same length as the axis that is being expanded as channels.
    visible : bool or list of bool
        Whether the layer visual is currently being displayed.
        If a list then must be same length as the axis that is
        being expanded as channels.
    multiscale : bool
        Whether the data is a multiscale image or not. Multiscale data is
        represented by a list of array like image data. If not specified by
        the user and if the data is a list of arrays that decrease in shape
        then it will be taken to be multiscale. The first image in the list
        should be the largest. Please note multiscale rendering is only
        supported in 2D. In 3D, only the lowest resolution scale is
        displayed.
    cache : bool
        Whether slices of out-of-core datasets should be cached upon
        retrieval. Currently, this only applies to dask arrays.
    plane : dict or SlicingPlane
        Properties defining plane rendering in 3D. Properties are defined in
        data coordinates. Valid dictionary keys are
        {'position', 'normal', 'thickness', and 'enabled'}.
    experimental_clipping_planes : list of dicts, list of ClippingPlane, or ClippingPlaneList
        Each dict defines a clipping plane in 3D in data coordinates.
        Valid dictionary keys are {'position', 'normal', and 'enabled'}.
        Values on the negative side of the normal are discarded if the plane is enabled.
    viewer: Viewer object, optional, by default None.
    title : string, optional
        The title of the viewer window. By default 'napari'.
    ndisplay : {2, 3}, optional
        Number of displayed dimensions. By default 2.
    order : tuple of int, optional
        Order in which dimensions are displayed where the last two or last
        three dimensions correspond to row x column or plane x row x column if
        ndisplay is 2 or 3. By default None
    axis_labels : list of str, optional
        Dimension names. By default they are labeled with sequential numbers
    show : bool, optional
        Whether to show the viewer after instantiation. By default True.

    Returns
    -------
    viewer : napari.Viewer
        The created or passed viewer.
    layer(s) : napari.layers.Image or List[napari.layers.Image]
        The added layer(s). (May be more than one if the ``channel_axis`` keyword
        argument is given.
    """
