prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  remove all of manim/files/
  It contains svg files specific to 3b1b.
  Remove OpenCV and SceneFromVideo
  opencv does not seem to be used anywhere other than in ScenefromVideo, which seems to be broken.
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `setup.py`
  Content:
  ```
  1 from setuptools import setup, find_namespace_packages
  2 
  3 setup(
  4     name="manimlib",
  5     version="0.2.0",
  6     description="Animation engine for explanatory math videos",
  7     license="MIT",
  8     packages=find_namespace_packages(),
  9     package_data={ "manim": ["*.tex"] },
  10     entry_points={
  11         "console_scripts": [
  12             "manim=manim.__main__:main",
  13             "manimcm=manim.__main__:main",
  14         ]
  15     },
  16     install_requires=[
  17         "argparse",
  18         "colour",
  19         "numpy",
  20         "Pillow",
  21         "progressbar",
  22         "scipy",
  23         "tqdm",
  24         "opencv-python",
  25         "pycairo",
  26         "pydub",
  27         "pygments",
  28         "pyreadline; sys_platform == 'win32'",
  29         "rich",
  30     ],
  31 )
  32
  ```
  
  Path: `manim/__init__.py`
  Content:
  ```
  1 #!/usr/bin/env python
  2 from .constants import *
  3 
  4 from .animation.animation import *
  5 from .animation.composition import *
  6 from .animation.creation import *
  7 from .animation.fading import *
  8 from .animation.growing import *
  9 from .animation.indication import *
  10 from .animation.movement import *
  11 from .animation.numbers import *
  12 from .animation.rotation import *
  13 from .animation.specialized import *
  14 from .animation.transform import *
  15 from .animation.update import *
  16 
  17 from .camera.camera import *
  18 from .camera.mapping_camera import *
  19 from .camera.moving_camera import *
  20 from .camera.three_d_camera import *
  21 
  22 from .mobject.coordinate_systems import *
  23 from .mobject.changing import *
  24 from .mobject.frame import *
  25 from .mobject.functions import *
  26 from .mobject.geometry import *
  27 from .mobject.matrix import *
  28 from .mobject.mobject import *
  29 from .mobject.number_line import *
  30 from .mobject.numbers import *
  31 from .mobject.probability import *
  32 from .mobject.shape_matchers import *
  33 from .mobject.svg.brace import *
  34 from .mobject.svg.drawings import *
  35 from .mobject.svg.svg_mobject import *
  36 from .mobject.svg.tex_mobject import *
  37 from .mobject.svg.text_mobject import *
  38 from .mobject.svg.code_mobject import *
  39 from .mobject.three_d_utils import *
  40 from .mobject.three_dimensions import *
  41 from .mobject.types.image_mobject import *
  42 from .mobject.types.point_cloud_mobject import *
  43 from .mobject.types.vectorized_mobject import *
  44 from .mobject.mobject_update_utils import *
  45 from .mobject.value_tracker import *
  46 from .mobject.vector_field import *
  47 
  48 from .scene.graph_scene import *
  49 from .scene.moving_camera_scene import *
  50 from .scene.reconfigurable_scene import *
  51 from .scene.scene import *
  52 from .scene.sample_space_scene import *
  53 from .scene.graph_scene import *
  54 from .scene.scene_from_video import *
  55 from .scene.three_d_scene import *
  56 from .scene.vector_space_scene import *
  57 from .scene.zoomed_scene import *
  58 
  59 from .utils.bezier import *
  60 from .utils.color import *
  61 from .utils.config_ops import *
  62 from .utils.debug import *
  63 from .utils.images import *
  64 from .utils.iterables import *
  65 from .utils.file_ops import *
  66 from .utils.paths import *
  67 from .utils.rate_functions import *
  68 from .utils.simple_functions import *
  69 from .utils.sounds import *
  70 from .utils.space_ops import *
  71 from .utils.strings import *
  72
  ```
  
  Path: `manim/scene/scene_from_video.py`
  Content:
  ```
  1 # from tqdm import tqdm as show_progress
  2 # import cv2
  3 
  4 # from ..scene.scene import Scene
  5 # from ..logger import logger
  6 
  7 
  8 # # TODO, is this depricated?
  9 # class SceneFromVideo(Scene):
  10 #     def construct(self, file_name,
  11 #                   freeze_last_frame=True,
  12 #                   time_range=None):
  13 #         cap = cv2.VideoCapture(file_name)
  14 #         self.shape = (
  15 #             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),
  16 #             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
  17 #         )
  18 #         fps = cap.get(cv2.cv.CV_CAP_PROP_FPS)
  19 #         self.camera.frame_rate = fps
  20 #         frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
  21 #         if time_range is None:
  22 #             start_frame = 0
  23 #             end_frame = frame_count
  24 #         else:
  25 #             start_frame, end_frame = [fps * t for t in time_range]
  26 
  27 #         frame_count = end_frame - start_frame
  28 #         logger.info("Reading in " + file_name + "...")
  29 #         for count in show_progress(list(range(start_frame, end_frame + 1))):
  30 #             returned, frame = cap.read()
  31 #             if not returned:
  32 #                 break
  33 #             # b, g, r = cv2.split(frame)
  34 #             # self.frames.append(cv2.merge([r, g, b]))
  35 #             self.frames.append(frame)
  36 #         cap.release()
  37 
  38 #         if freeze_last_frame and len(self.frames) > 0:
  39 #             self.original_background = self.background = self.frames[-1]
  40 
  41 #     def apply_gaussian_blur(self, ksize=(5, 5), sigmaX=5):
  42 #         self.frames = [
  43 #             cv2.GaussianBlur(frame, ksize, sigmaX)
  44 #             for frame in self.frames
  45 #         ]
  46 
  47 #     def apply_edge_detection(self, threshold1=50, threshold2=100):
  48 #         edged_frames = [
  49 #             cv2.Canny(frame, threshold1, threshold2)
  50 #             for frame in self.frames
  51 #         ]
  52 #         for index in range(len(self.frames)):
  53 #             for i in range(3):
  54 #                 self.frames[index][:, :, i] = edged_frames[index]
  ```
  --- 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/manim/__init__.py b/manim/__init__.py
  --- a/manim/__init__.py
  +++ b/manim/__init__.py
  @@ -51,7 +51,6 @@
   from .scene.scene import *
   from .scene.sample_space_scene import *
   from .scene.graph_scene import *
  -from .scene.scene_from_video import *
   from .scene.three_d_scene import *
   from .scene.vector_space_scene import *
   from .scene.zoomed_scene import *
  diff --git a/manim/scene/scene_from_video.py b/manim/scene/scene_from_video.py
  deleted file mode 100644
  --- a/manim/scene/scene_from_video.py
  +++ /dev/null
  @@ -1,54 +0,0 @@
  -# from tqdm import tqdm as show_progress
  -# import cv2
  -
  -# from ..scene.scene import Scene
  -# from ..logger import logger
  -
  -
  -# # TODO, is this depricated?
  -# class SceneFromVideo(Scene):
  -#     def construct(self, file_name,
  -#                   freeze_last_frame=True,
  -#                   time_range=None):
  -#         cap = cv2.VideoCapture(file_name)
  -#         self.shape = (
  -#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),
  -#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
  -#         )
  -#         fps = cap.get(cv2.cv.CV_CAP_PROP_FPS)
  -#         self.camera.frame_rate = fps
  -#         frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
  -#         if time_range is None:
  -#             start_frame = 0
  -#             end_frame = frame_count
  -#         else:
  -#             start_frame, end_frame = [fps * t for t in time_range]
  -
  -#         frame_count = end_frame - start_frame
  -#         logger.info("Reading in " + file_name + "...")
  -#         for count in show_progress(list(range(start_frame, end_frame + 1))):
  -#             returned, frame = cap.read()
  -#             if not returned:
  -#                 break
  -#             # b, g, r = cv2.split(frame)
  -#             # self.frames.append(cv2.merge([r, g, b]))
  -#             self.frames.append(frame)
  -#         cap.release()
  -
  -#         if freeze_last_frame and len(self.frames) > 0:
  -#             self.original_background = self.background = self.frames[-1]
  -
  -#     def apply_gaussian_blur(self, ksize=(5, 5), sigmaX=5):
  -#         self.frames = [
  -#             cv2.GaussianBlur(frame, ksize, sigmaX)
  -#             for frame in self.frames
  -#         ]
  -
  -#     def apply_edge_detection(self, threshold1=50, threshold2=100):
  -#         edged_frames = [
  -#             cv2.Canny(frame, threshold1, threshold2)
  -#             for frame in self.frames
  -#         ]
  -#         for index in range(len(self.frames)):
  -#             for i in range(3):
  -#                 self.frames[index][:, :, i] = edged_frames[index]
  \ No newline at end of file
  diff --git a/setup.py b/setup.py
  --- a/setup.py
  +++ b/setup.py
  @@ -21,7 +21,6 @@
           "progressbar",
           "scipy",
           "tqdm",
  -        "opencv-python",
           "pycairo",
           "pydub",
           "pygments",
  
verification_info: {"golden_diff": "diff --git a/manim/__init__.py b/manim/__init__.py\n--- a/manim/__init__.py\n+++ b/manim/__init__.py\n@@ -51,7 +51,6 @@\n from .scene.scene import *\n from .scene.sample_space_scene import *\n from .scene.graph_scene import *\n-from .scene.scene_from_video import *\n from .scene.three_d_scene import *\n from .scene.vector_space_scene import *\n from .scene.zoomed_scene import *\ndiff --git a/manim/scene/scene_from_video.py b/manim/scene/scene_from_video.py\ndeleted file mode 100644\n--- a/manim/scene/scene_from_video.py\n+++ /dev/null\n@@ -1,54 +0,0 @@\n-# from tqdm import tqdm as show_progress\n-# import cv2\n-\n-# from ..scene.scene import Scene\n-# from ..logger import logger\n-\n-\n-# # TODO, is this depricated?\n-# class SceneFromVideo(Scene):\n-#     def construct(self, file_name,\n-#                   freeze_last_frame=True,\n-#                   time_range=None):\n-#         cap = cv2.VideoCapture(file_name)\n-#         self.shape = (\n-#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),\n-#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))\n-#         )\n-#         fps = cap.get(cv2.cv.CV_CAP_PROP_FPS)\n-#         self.camera.frame_rate = fps\n-#         frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))\n-#         if time_range is None:\n-#             start_frame = 0\n-#             end_frame = frame_count\n-#         else:\n-#             start_frame, end_frame = [fps * t for t in time_range]\n-\n-#         frame_count = end_frame - start_frame\n-#         logger.info(\"Reading in \" + file_name + \"...\")\n-#         for count in show_progress(list(range(start_frame, end_frame + 1))):\n-#             returned, frame = cap.read()\n-#             if not returned:\n-#                 break\n-#             # b, g, r = cv2.split(frame)\n-#             # self.frames.append(cv2.merge([r, g, b]))\n-#             self.frames.append(frame)\n-#         cap.release()\n-\n-#         if freeze_last_frame and len(self.frames) > 0:\n-#             self.original_background = self.background = self.frames[-1]\n-\n-#     def apply_gaussian_blur(self, ksize=(5, 5), sigmaX=5):\n-#         self.frames = [\n-#             cv2.GaussianBlur(frame, ksize, sigmaX)\n-#             for frame in self.frames\n-#         ]\n-\n-#     def apply_edge_detection(self, threshold1=50, threshold2=100):\n-#         edged_frames = [\n-#             cv2.Canny(frame, threshold1, threshold2)\n-#             for frame in self.frames\n-#         ]\n-#         for index in range(len(self.frames)):\n-#             for i in range(3):\n-#                 self.frames[index][:, :, i] = edged_frames[index]\n\\ No newline at end of file\ndiff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -21,7 +21,6 @@\n         \"progressbar\",\n         \"scipy\",\n         \"tqdm\",\n-        \"opencv-python\",\n         \"pycairo\",\n         \"pydub\",\n         \"pygments\",\n", "issue": "remove all of manim/files/\nIt contains svg files specific to 3b1b.\nRemove OpenCV and SceneFromVideo\nopencv does not seem to be used anywhere other than in ScenefromVideo, which seems to be broken.\n", "before_files": [{"content": "from setuptools import setup, find_namespace_packages\n\nsetup(\n    name=\"manimlib\",\n    version=\"0.2.0\",\n    description=\"Animation engine for explanatory math videos\",\n    license=\"MIT\",\n    packages=find_namespace_packages(),\n    package_data={ \"manim\": [\"*.tex\"] },\n    entry_points={\n        \"console_scripts\": [\n            \"manim=manim.__main__:main\",\n            \"manimcm=manim.__main__:main\",\n        ]\n    },\n    install_requires=[\n        \"argparse\",\n        \"colour\",\n        \"numpy\",\n        \"Pillow\",\n        \"progressbar\",\n        \"scipy\",\n        \"tqdm\",\n        \"opencv-python\",\n        \"pycairo\",\n        \"pydub\",\n        \"pygments\",\n        \"pyreadline; sys_platform == 'win32'\",\n        \"rich\",\n    ],\n)\n", "path": "setup.py"}, {"content": "#!/usr/bin/env python\nfrom .constants import *\n\nfrom .animation.animation import *\nfrom .animation.composition import *\nfrom .animation.creation import *\nfrom .animation.fading import *\nfrom .animation.growing import *\nfrom .animation.indication import *\nfrom .animation.movement import *\nfrom .animation.numbers import *\nfrom .animation.rotation import *\nfrom .animation.specialized import *\nfrom .animation.transform import *\nfrom .animation.update import *\n\nfrom .camera.camera import *\nfrom .camera.mapping_camera import *\nfrom .camera.moving_camera import *\nfrom .camera.three_d_camera import *\n\nfrom .mobject.coordinate_systems import *\nfrom .mobject.changing import *\nfrom .mobject.frame import *\nfrom .mobject.functions import *\nfrom .mobject.geometry import *\nfrom .mobject.matrix import *\nfrom .mobject.mobject import *\nfrom .mobject.number_line import *\nfrom .mobject.numbers import *\nfrom .mobject.probability import *\nfrom .mobject.shape_matchers import *\nfrom .mobject.svg.brace import *\nfrom .mobject.svg.drawings import *\nfrom .mobject.svg.svg_mobject import *\nfrom .mobject.svg.tex_mobject import *\nfrom .mobject.svg.text_mobject import *\nfrom .mobject.svg.code_mobject import *\nfrom .mobject.three_d_utils import *\nfrom .mobject.three_dimensions import *\nfrom .mobject.types.image_mobject import *\nfrom .mobject.types.point_cloud_mobject import *\nfrom .mobject.types.vectorized_mobject import *\nfrom .mobject.mobject_update_utils import *\nfrom .mobject.value_tracker import *\nfrom .mobject.vector_field import *\n\nfrom .scene.graph_scene import *\nfrom .scene.moving_camera_scene import *\nfrom .scene.reconfigurable_scene import *\nfrom .scene.scene import *\nfrom .scene.sample_space_scene import *\nfrom .scene.graph_scene import *\nfrom .scene.scene_from_video import *\nfrom .scene.three_d_scene import *\nfrom .scene.vector_space_scene import *\nfrom .scene.zoomed_scene import *\n\nfrom .utils.bezier import *\nfrom .utils.color import *\nfrom .utils.config_ops import *\nfrom .utils.debug import *\nfrom .utils.images import *\nfrom .utils.iterables import *\nfrom .utils.file_ops import *\nfrom .utils.paths import *\nfrom .utils.rate_functions import *\nfrom .utils.simple_functions import *\nfrom .utils.sounds import *\nfrom .utils.space_ops import *\nfrom .utils.strings import *\n", "path": "manim/__init__.py"}, {"content": "# from tqdm import tqdm as show_progress\n# import cv2\n\n# from ..scene.scene import Scene\n# from ..logger import logger\n\n\n# # TODO, is this depricated?\n# class SceneFromVideo(Scene):\n#     def construct(self, file_name,\n#                   freeze_last_frame=True,\n#                   time_range=None):\n#         cap = cv2.VideoCapture(file_name)\n#         self.shape = (\n#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),\n#             int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))\n#         )\n#         fps = cap.get(cv2.cv.CV_CAP_PROP_FPS)\n#         self.camera.frame_rate = fps\n#         frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))\n#         if time_range is None:\n#             start_frame = 0\n#             end_frame = frame_count\n#         else:\n#             start_frame, end_frame = [fps * t for t in time_range]\n\n#         frame_count = end_frame - start_frame\n#         logger.info(\"Reading in \" + file_name + \"...\")\n#         for count in show_progress(list(range(start_frame, end_frame + 1))):\n#             returned, frame = cap.read()\n#             if not returned:\n#                 break\n#             # b, g, r = cv2.split(frame)\n#             # self.frames.append(cv2.merge([r, g, b]))\n#             self.frames.append(frame)\n#         cap.release()\n\n#         if freeze_last_frame and len(self.frames) > 0:\n#             self.original_background = self.background = self.frames[-1]\n\n#     def apply_gaussian_blur(self, ksize=(5, 5), sigmaX=5):\n#         self.frames = [\n#             cv2.GaussianBlur(frame, ksize, sigmaX)\n#             for frame in self.frames\n#         ]\n\n#     def apply_edge_detection(self, threshold1=50, threshold2=100):\n#         edged_frames = [\n#             cv2.Canny(frame, threshold1, threshold2)\n#             for frame in self.frames\n#         ]\n#         for index in range(len(self.frames)):\n#             for i in range(3):\n#                 self.frames[index][:, :, i] = edged_frames[index]", "path": "manim/scene/scene_from_video.py"}], "after_files": [{"content": "from setuptools import setup, find_namespace_packages\n\nsetup(\n    name=\"manimlib\",\n    version=\"0.2.0\",\n    description=\"Animation engine for explanatory math videos\",\n    license=\"MIT\",\n    packages=find_namespace_packages(),\n    package_data={ \"manim\": [\"*.tex\"] },\n    entry_points={\n        \"console_scripts\": [\n            \"manim=manim.__main__:main\",\n            \"manimcm=manim.__main__:main\",\n        ]\n    },\n    install_requires=[\n        \"argparse\",\n        \"colour\",\n        \"numpy\",\n        \"Pillow\",\n        \"progressbar\",\n        \"scipy\",\n        \"tqdm\",\n        \"pycairo\",\n        \"pydub\",\n        \"pygments\",\n        \"pyreadline; sys_platform == 'win32'\",\n        \"rich\",\n    ],\n)\n", "path": "setup.py"}, {"content": "#!/usr/bin/env python\nfrom .constants import *\n\nfrom .animation.animation import *\nfrom .animation.composition import *\nfrom .animation.creation import *\nfrom .animation.fading import *\nfrom .animation.growing import *\nfrom .animation.indication import *\nfrom .animation.movement import *\nfrom .animation.numbers import *\nfrom .animation.rotation import *\nfrom .animation.specialized import *\nfrom .animation.transform import *\nfrom .animation.update import *\n\nfrom .camera.camera import *\nfrom .camera.mapping_camera import *\nfrom .camera.moving_camera import *\nfrom .camera.three_d_camera import *\n\nfrom .mobject.coordinate_systems import *\nfrom .mobject.changing import *\nfrom .mobject.frame import *\nfrom .mobject.functions import *\nfrom .mobject.geometry import *\nfrom .mobject.matrix import *\nfrom .mobject.mobject import *\nfrom .mobject.number_line import *\nfrom .mobject.numbers import *\nfrom .mobject.probability import *\nfrom .mobject.shape_matchers import *\nfrom .mobject.svg.brace import *\nfrom .mobject.svg.drawings import *\nfrom .mobject.svg.svg_mobject import *\nfrom .mobject.svg.tex_mobject import *\nfrom .mobject.svg.text_mobject import *\nfrom .mobject.svg.code_mobject import *\nfrom .mobject.three_d_utils import *\nfrom .mobject.three_dimensions import *\nfrom .mobject.types.image_mobject import *\nfrom .mobject.types.point_cloud_mobject import *\nfrom .mobject.types.vectorized_mobject import *\nfrom .mobject.mobject_update_utils import *\nfrom .mobject.value_tracker import *\nfrom .mobject.vector_field import *\n\nfrom .scene.graph_scene import *\nfrom .scene.moving_camera_scene import *\nfrom .scene.reconfigurable_scene import *\nfrom .scene.scene import *\nfrom .scene.sample_space_scene import *\nfrom .scene.graph_scene import *\nfrom .scene.three_d_scene import *\nfrom .scene.vector_space_scene import *\nfrom .scene.zoomed_scene import *\n\nfrom .utils.bezier import *\nfrom .utils.color import *\nfrom .utils.config_ops import *\nfrom .utils.debug import *\nfrom .utils.images import *\nfrom .utils.iterables import *\nfrom .utils.file_ops import *\nfrom .utils.paths import *\nfrom .utils.rate_functions import *\nfrom .utils.simple_functions import *\nfrom .utils.sounds import *\nfrom .utils.space_ops import *\nfrom .utils.strings import *\n", "path": "manim/__init__.py"}, {"content": null, "path": "manim/scene/scene_from_video.py"}]}