prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Adding 0 and 1 coords if missed in colormap
  # Description
  <!-- What does this pull request (PR) do? Why is it necessary? -->
  <!-- Tell us about your new feature, improvement, or fix! -->
  <!-- If your change includes user interface changes, please add an image, or an animation "An image is worth a thousando words!" -->
  <!-- You can use https://www.cockos.com/licecap/ or similar to create animations -->
  Fix #2400
  
  ## Type of change
  <!-- Please delete options that are not relevant. -->
  
  
  # References
  <!-- What resources, documentation, and guides were used in the creation of this PR? -->
  <!-- If this is a bug-fix or otherwise resolves an issue, reference it here with "closes #(issue)" -->
  
  # How has this been tested?
  <!-- Please describe the tests that you ran to verify your changes. -->
  - [ ] example: the test suite for my feature covers cases x, y, and z
  - [ ] example: all tests pass with my change
  
  ## Final checklist:
  - [ ] My PR is the minimum possible work for the desired functionality
  - [ ] I have commented my code, particularly in hard-to-understand areas
  - [ ] I have made corresponding changes to the documentation
  - [x] I have added tests that prove my fix is effective or that my feature works
  
  Adding 0 and 1 coords if missed in colormap
  # Description
  <!-- What does this pull request (PR) do? Why is it necessary? -->
  <!-- Tell us about your new feature, improvement, or fix! -->
  <!-- If your change includes user interface changes, please add an image, or an animation "An image is worth a thousando words!" -->
  <!-- You can use https://www.cockos.com/licecap/ or similar to create animations -->
  Fix #2400
  
  ## Type of change
  <!-- Please delete options that are not relevant. -->
  
  
  # References
  <!-- What resources, documentation, and guides were used in the creation of this PR? -->
  <!-- If this is a bug-fix or otherwise resolves an issue, reference it here with "closes #(issue)" -->
  
  # How has this been tested?
  <!-- Please describe the tests that you ran to verify your changes. -->
  - [ ] example: the test suite for my feature covers cases x, y, and z
  - [ ] example: all tests pass with my change
  
  ## Final checklist:
  - [ ] My PR is the minimum possible work for the desired functionality
  - [ ] I have commented my code, particularly in hard-to-understand areas
  - [ ] I have made corresponding changes to the documentation
  - [x] I have added tests that prove my fix is effective or that my feature works
  
  
  --- 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/utils/colormaps/colormap.py`
  Content:
  ```
  1 from enum import Enum
  2 from typing import Optional
  3 
  4 import numpy as np
  5 from pydantic import PrivateAttr, validator
  6 
  7 from ..events import EventedModel
  8 from ..events.custom_types import Array
  9 from ..translations import trans
  10 from .colorbars import make_colorbar
  11 from .standardize_color import transform_color
  12 
  13 
  14 class ColormapInterpolationMode(str, Enum):
  15     """INTERPOLATION: Interpolation mode for colormaps.
  16 
  17     Selects an interpolation mode for the colormap.
  18             * linear: colors are defined by linear interpolation between
  19               colors of neighboring controls points.
  20             * zero: colors are defined by the value of the color in the
  21               bin between by neighboring controls points.
  22     """
  23 
  24     LINEAR = 'linear'
  25     ZERO = 'zero'
  26 
  27 
  28 class Colormap(EventedModel):
  29     """Colormap that relates intensity values to colors.
  30 
  31     Attributes
  32     ----------
  33     colors : array, shape (N, 4)
  34         Data used in the colormap.
  35     name : str
  36         Name of the colormap.
  37     display_name : str
  38         Display name of the colormap.
  39     controls : array, shape (N,) or (N+1,)
  40         Control points of the colormap.
  41     interpolation : str
  42         Colormap interpolation mode, either 'linear' or
  43         'zero'. If 'linear', ncontrols = ncolors (one
  44         color per control point). If 'zero', ncontrols
  45         = ncolors+1 (one color per bin).
  46     """
  47 
  48     # fields
  49     colors: Array[float, (-1, 4)]
  50     name: str = 'custom'
  51     _display_name: Optional[str] = PrivateAttr(None)
  52     interpolation: ColormapInterpolationMode = ColormapInterpolationMode.LINEAR
  53     controls: Array[float, (-1,)] = None
  54 
  55     def __init__(self, colors, display_name: Optional[str] = None, **data):
  56         if display_name is None:
  57             display_name = data.get('name', 'custom')
  58 
  59         super().__init__(colors=colors, **data)
  60         self._display_name = display_name
  61 
  62     # validators
  63     @validator('colors', pre=True)
  64     def _ensure_color_array(cls, v):
  65         return transform_color(v)
  66 
  67     # controls validator must be called even if None for correct initialization
  68     @validator('controls', pre=True, always=True)
  69     def _check_controls(cls, v, values):
  70         if v is None or len(v) == 0:
  71             n_controls = len(values['colors']) + int(
  72                 values['interpolation'] == ColormapInterpolationMode.ZERO
  73             )
  74             return np.linspace(0, 1, n_controls)
  75         return v
  76 
  77     def __iter__(self):
  78         yield from (self.colors, self.controls, self.interpolation)
  79 
  80     def map(self, values):
  81         values = np.atleast_1d(values)
  82         if self.interpolation == ColormapInterpolationMode.LINEAR:
  83             # One color per control point
  84             cols = [
  85                 np.interp(values, self.controls, self.colors[:, i])
  86                 for i in range(4)
  87             ]
  88             cols = np.stack(cols, axis=1)
  89         elif self.interpolation == ColormapInterpolationMode.ZERO:
  90             # One color per bin
  91             indices = np.clip(
  92                 np.searchsorted(self.controls, values) - 1, 0, len(self.colors)
  93             )
  94             cols = self.colors[indices.astype(np.int32)]
  95         else:
  96             raise ValueError(
  97                 trans._(
  98                     'Unrecognized Colormap Interpolation Mode',
  99                     deferred=True,
  100                 )
  101             )
  102 
  103         return cols
  104 
  105     @property
  106     def colorbar(self):
  107         return make_colorbar(self)
  108
  ```
  --- 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/utils/colormaps/colormap.py b/napari/utils/colormaps/colormap.py
  --- a/napari/utils/colormaps/colormap.py
  +++ b/napari/utils/colormaps/colormap.py
  @@ -67,11 +67,44 @@
       # controls validator must be called even if None for correct initialization
       @validator('controls', pre=True, always=True)
       def _check_controls(cls, v, values):
  +        # If no control points provided generate defaults
           if v is None or len(v) == 0:
               n_controls = len(values['colors']) + int(
                   values['interpolation'] == ColormapInterpolationMode.ZERO
               )
               return np.linspace(0, 1, n_controls)
  +
  +        # Check control end points are correct
  +        if not (v[0] == 0 and v[-1] == 1):
  +            raise ValueError(
  +                trans._(
  +                    f'Control points must start with 0.0 and end with 1.0. Got {v[0]} and {v[-1]}',
  +                    deferred=True,
  +                )
  +            )
  +
  +        # Check control points are sorted correctly
  +        if not np.array_equal(v, sorted(v)):
  +            raise ValueError(
  +                trans._(
  +                    'Control points need to be sorted in ascending order',
  +                    deferred=True,
  +                )
  +            )
  +
  +        # Check number of control points is correct
  +        n_controls_target = len(values['colors']) + int(
  +            values['interpolation'] == ColormapInterpolationMode.ZERO
  +        )
  +        n_controls = len(v)
  +        if not n_controls == n_controls_target:
  +            raise ValueError(
  +                trans._(
  +                    f'Wrong number of control points provided. Expected {n_controls_target}, got {n_controls}',
  +                    deferred=True,
  +                )
  +            )
  +
           return v
   
       def __iter__(self):
  
verification_info: {"golden_diff": "diff --git a/napari/utils/colormaps/colormap.py b/napari/utils/colormaps/colormap.py\n--- a/napari/utils/colormaps/colormap.py\n+++ b/napari/utils/colormaps/colormap.py\n@@ -67,11 +67,44 @@\n     # controls validator must be called even if None for correct initialization\n     @validator('controls', pre=True, always=True)\n     def _check_controls(cls, v, values):\n+        # If no control points provided generate defaults\n         if v is None or len(v) == 0:\n             n_controls = len(values['colors']) + int(\n                 values['interpolation'] == ColormapInterpolationMode.ZERO\n             )\n             return np.linspace(0, 1, n_controls)\n+\n+        # Check control end points are correct\n+        if not (v[0] == 0 and v[-1] == 1):\n+            raise ValueError(\n+                trans._(\n+                    f'Control points must start with 0.0 and end with 1.0. Got {v[0]} and {v[-1]}',\n+                    deferred=True,\n+                )\n+            )\n+\n+        # Check control points are sorted correctly\n+        if not np.array_equal(v, sorted(v)):\n+            raise ValueError(\n+                trans._(\n+                    'Control points need to be sorted in ascending order',\n+                    deferred=True,\n+                )\n+            )\n+\n+        # Check number of control points is correct\n+        n_controls_target = len(values['colors']) + int(\n+            values['interpolation'] == ColormapInterpolationMode.ZERO\n+        )\n+        n_controls = len(v)\n+        if not n_controls == n_controls_target:\n+            raise ValueError(\n+                trans._(\n+                    f'Wrong number of control points provided. Expected {n_controls_target}, got {n_controls}',\n+                    deferred=True,\n+                )\n+            )\n+\n         return v\n \n     def __iter__(self):\n", "issue": "Adding 0 and 1 coords if missed in colormap\n# Description\r\n<!-- What does this pull request (PR) do? Why is it necessary? -->\r\n<!-- Tell us about your new feature, improvement, or fix! -->\r\n<!-- If your change includes user interface changes, please add an image, or an animation \"An image is worth a thousando words!\" -->\r\n<!-- You can use https://www.cockos.com/licecap/ or similar to create animations -->\r\nFix #2400\r\n\r\n## Type of change\r\n<!-- Please delete options that are not relevant. -->\r\n\r\n\r\n# References\r\n<!-- What resources, documentation, and guides were used in the creation of this PR? -->\r\n<!-- If this is a bug-fix or otherwise resolves an issue, reference it here with \"closes #(issue)\" -->\r\n\r\n# How has this been tested?\r\n<!-- Please describe the tests that you ran to verify your changes. -->\r\n- [ ] example: the test suite for my feature covers cases x, y, and z\r\n- [ ] example: all tests pass with my change\r\n\r\n## Final checklist:\r\n- [ ] My PR is the minimum possible work for the desired functionality\r\n- [ ] I have commented my code, particularly in hard-to-understand areas\r\n- [ ] I have made corresponding changes to the documentation\r\n- [x] I have added tests that prove my fix is effective or that my feature works\r\n\nAdding 0 and 1 coords if missed in colormap\n# Description\r\n<!-- What does this pull request (PR) do? Why is it necessary? -->\r\n<!-- Tell us about your new feature, improvement, or fix! -->\r\n<!-- If your change includes user interface changes, please add an image, or an animation \"An image is worth a thousando words!\" -->\r\n<!-- You can use https://www.cockos.com/licecap/ or similar to create animations -->\r\nFix #2400\r\n\r\n## Type of change\r\n<!-- Please delete options that are not relevant. -->\r\n\r\n\r\n# References\r\n<!-- What resources, documentation, and guides were used in the creation of this PR? -->\r\n<!-- If this is a bug-fix or otherwise resolves an issue, reference it here with \"closes #(issue)\" -->\r\n\r\n# How has this been tested?\r\n<!-- Please describe the tests that you ran to verify your changes. -->\r\n- [ ] example: the test suite for my feature covers cases x, y, and z\r\n- [ ] example: all tests pass with my change\r\n\r\n## Final checklist:\r\n- [ ] My PR is the minimum possible work for the desired functionality\r\n- [ ] I have commented my code, particularly in hard-to-understand areas\r\n- [ ] I have made corresponding changes to the documentation\r\n- [x] I have added tests that prove my fix is effective or that my feature works\r\n\n", "before_files": [{"content": "from enum import Enum\nfrom typing import Optional\n\nimport numpy as np\nfrom pydantic import PrivateAttr, validator\n\nfrom ..events import EventedModel\nfrom ..events.custom_types import Array\nfrom ..translations import trans\nfrom .colorbars import make_colorbar\nfrom .standardize_color import transform_color\n\n\nclass ColormapInterpolationMode(str, Enum):\n    \"\"\"INTERPOLATION: Interpolation mode for colormaps.\n\n    Selects an interpolation mode for the colormap.\n            * linear: colors are defined by linear interpolation between\n              colors of neighboring controls points.\n            * zero: colors are defined by the value of the color in the\n              bin between by neighboring controls points.\n    \"\"\"\n\n    LINEAR = 'linear'\n    ZERO = 'zero'\n\n\nclass Colormap(EventedModel):\n    \"\"\"Colormap that relates intensity values to colors.\n\n    Attributes\n    ----------\n    colors : array, shape (N, 4)\n        Data used in the colormap.\n    name : str\n        Name of the colormap.\n    display_name : str\n        Display name of the colormap.\n    controls : array, shape (N,) or (N+1,)\n        Control points of the colormap.\n    interpolation : str\n        Colormap interpolation mode, either 'linear' or\n        'zero'. If 'linear', ncontrols = ncolors (one\n        color per control point). If 'zero', ncontrols\n        = ncolors+1 (one color per bin).\n    \"\"\"\n\n    # fields\n    colors: Array[float, (-1, 4)]\n    name: str = 'custom'\n    _display_name: Optional[str] = PrivateAttr(None)\n    interpolation: ColormapInterpolationMode = ColormapInterpolationMode.LINEAR\n    controls: Array[float, (-1,)] = None\n\n    def __init__(self, colors, display_name: Optional[str] = None, **data):\n        if display_name is None:\n            display_name = data.get('name', 'custom')\n\n        super().__init__(colors=colors, **data)\n        self._display_name = display_name\n\n    # validators\n    @validator('colors', pre=True)\n    def _ensure_color_array(cls, v):\n        return transform_color(v)\n\n    # controls validator must be called even if None for correct initialization\n    @validator('controls', pre=True, always=True)\n    def _check_controls(cls, v, values):\n        if v is None or len(v) == 0:\n            n_controls = len(values['colors']) + int(\n                values['interpolation'] == ColormapInterpolationMode.ZERO\n            )\n            return np.linspace(0, 1, n_controls)\n        return v\n\n    def __iter__(self):\n        yield from (self.colors, self.controls, self.interpolation)\n\n    def map(self, values):\n        values = np.atleast_1d(values)\n        if self.interpolation == ColormapInterpolationMode.LINEAR:\n            # One color per control point\n            cols = [\n                np.interp(values, self.controls, self.colors[:, i])\n                for i in range(4)\n            ]\n            cols = np.stack(cols, axis=1)\n        elif self.interpolation == ColormapInterpolationMode.ZERO:\n            # One color per bin\n            indices = np.clip(\n                np.searchsorted(self.controls, values) - 1, 0, len(self.colors)\n            )\n            cols = self.colors[indices.astype(np.int32)]\n        else:\n            raise ValueError(\n                trans._(\n                    'Unrecognized Colormap Interpolation Mode',\n                    deferred=True,\n                )\n            )\n\n        return cols\n\n    @property\n    def colorbar(self):\n        return make_colorbar(self)\n", "path": "napari/utils/colormaps/colormap.py"}], "after_files": [{"content": "from enum import Enum\nfrom typing import Optional\n\nimport numpy as np\nfrom pydantic import PrivateAttr, validator\n\nfrom ..events import EventedModel\nfrom ..events.custom_types import Array\nfrom ..translations import trans\nfrom .colorbars import make_colorbar\nfrom .standardize_color import transform_color\n\n\nclass ColormapInterpolationMode(str, Enum):\n    \"\"\"INTERPOLATION: Interpolation mode for colormaps.\n\n    Selects an interpolation mode for the colormap.\n            * linear: colors are defined by linear interpolation between\n              colors of neighboring controls points.\n            * zero: colors are defined by the value of the color in the\n              bin between by neighboring controls points.\n    \"\"\"\n\n    LINEAR = 'linear'\n    ZERO = 'zero'\n\n\nclass Colormap(EventedModel):\n    \"\"\"Colormap that relates intensity values to colors.\n\n    Attributes\n    ----------\n    colors : array, shape (N, 4)\n        Data used in the colormap.\n    name : str\n        Name of the colormap.\n    display_name : str\n        Display name of the colormap.\n    controls : array, shape (N,) or (N+1,)\n        Control points of the colormap.\n    interpolation : str\n        Colormap interpolation mode, either 'linear' or\n        'zero'. If 'linear', ncontrols = ncolors (one\n        color per control point). If 'zero', ncontrols\n        = ncolors+1 (one color per bin).\n    \"\"\"\n\n    # fields\n    colors: Array[float, (-1, 4)]\n    name: str = 'custom'\n    _display_name: Optional[str] = PrivateAttr(None)\n    interpolation: ColormapInterpolationMode = ColormapInterpolationMode.LINEAR\n    controls: Array[float, (-1,)] = None\n\n    def __init__(self, colors, display_name: Optional[str] = None, **data):\n        if display_name is None:\n            display_name = data.get('name', 'custom')\n\n        super().__init__(colors=colors, **data)\n        self._display_name = display_name\n\n    # validators\n    @validator('colors', pre=True)\n    def _ensure_color_array(cls, v):\n        return transform_color(v)\n\n    # controls validator must be called even if None for correct initialization\n    @validator('controls', pre=True, always=True)\n    def _check_controls(cls, v, values):\n        # If no control points provided generate defaults\n        if v is None or len(v) == 0:\n            n_controls = len(values['colors']) + int(\n                values['interpolation'] == ColormapInterpolationMode.ZERO\n            )\n            return np.linspace(0, 1, n_controls)\n\n        # Check control end points are correct\n        if not (v[0] == 0 and v[-1] == 1):\n            raise ValueError(\n                trans._(\n                    f'Control points must start with 0.0 and end with 1.0. Got {v[0]} and {v[-1]}',\n                    deferred=True,\n                )\n            )\n\n        # Check control points are sorted correctly\n        if not np.array_equal(v, sorted(v)):\n            raise ValueError(\n                trans._(\n                    'Control points need to be sorted in ascending order',\n                    deferred=True,\n                )\n            )\n\n        # Check number of control points is correct\n        n_controls_target = len(values['colors']) + int(\n            values['interpolation'] == ColormapInterpolationMode.ZERO\n        )\n        n_controls = len(v)\n        if not n_controls == n_controls_target:\n            raise ValueError(\n                trans._(\n                    f'Wrong number of control points provided. Expected {n_controls_target}, got {n_controls}',\n                    deferred=True,\n                )\n            )\n\n        return v\n\n    def __iter__(self):\n        yield from (self.colors, self.controls, self.interpolation)\n\n    def map(self, values):\n        values = np.atleast_1d(values)\n        if self.interpolation == ColormapInterpolationMode.LINEAR:\n            # One color per control point\n            cols = [\n                np.interp(values, self.controls, self.colors[:, i])\n                for i in range(4)\n            ]\n            cols = np.stack(cols, axis=1)\n        elif self.interpolation == ColormapInterpolationMode.ZERO:\n            # One color per bin\n            indices = np.clip(\n                np.searchsorted(self.controls, values) - 1, 0, len(self.colors)\n            )\n            cols = self.colors[indices.astype(np.int32)]\n        else:\n            raise ValueError(\n                trans._(\n                    'Unrecognized Colormap Interpolation Mode',\n                    deferred=True,\n                )\n            )\n\n        return cols\n\n    @property\n    def colorbar(self):\n        return make_colorbar(self)\n", "path": "napari/utils/colormaps/colormap.py"}]}