prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  [tensor] fix some unittests
  
  
  </issue>
  <code>
  [start of extensions/cpp_extension.py]
  1 import importlib
  2 import os
  3 import time
  4 from abc import abstractmethod
  5 from pathlib import Path
  6 from typing import List
  7 
  8 from .base_extension import _Extension
  9 
  10 __all__ = ["_CppExtension"]
  11 
  12 
  13 class _CppExtension(_Extension):
  14     def __init__(self, name: str, priority: int = 1):
  15         super().__init__(name, support_aot=True, support_jit=True, priority=priority)
  16 
  17         # we store the op as an attribute to avoid repeated building and loading
  18         self.cached_op = None
  19 
  20         # build-related variables
  21         self.prebuilt_module_path = "colossalai._C"
  22         self.prebuilt_import_path = f"{self.prebuilt_module_path}.{self.name}"
  23         self.version_dependent_macros = ["-DVERSION_GE_1_1", "-DVERSION_GE_1_3", "-DVERSION_GE_1_5"]
  24 
  25     def csrc_abs_path(self, path):
  26         return os.path.join(self.relative_to_abs_path("csrc"), path)
  27 
  28     def relative_to_abs_path(self, code_path: str) -> str:
  29         """
  30         This function takes in a path relative to the colossalai root directory and return the absolute path.
  31         """
  32 
  33         # get the current file path
  34         # iteratively check the parent directory
  35         # if the parent directory is "extensions", then the current file path is the root directory
  36         # otherwise, the current file path is inside the root directory
  37         current_file_path = Path(__file__)
  38         while True:
  39             if current_file_path.name == "extensions":
  40                 break
  41             else:
  42                 current_file_path = current_file_path.parent
  43         extension_module_path = current_file_path
  44         code_abs_path = extension_module_path.joinpath(code_path)
  45         return str(code_abs_path)
  46 
  47     # functions must be overrided over
  48     def strip_empty_entries(self, args):
  49         """
  50         Drop any empty strings from the list of compile and link flags
  51         """
  52         return [x for x in args if len(x) > 0]
  53 
  54     def import_op(self):
  55         """
  56         This function will import the op module by its string name.
  57         """
  58         return importlib.import_module(self.prebuilt_import_path)
  59 
  60     def build_aot(self) -> "CppExtension":
  61         from torch.utils.cpp_extension import CppExtension
  62 
  63         return CppExtension(
  64             name=self.prebuilt_import_path,
  65             sources=self.strip_empty_entries(self.sources_files()),
  66             include_dirs=self.strip_empty_entries(self.include_dirs()),
  67             extra_compile_args=self.strip_empty_entries(self.cxx_flags()),
  68         )
  69 
  70     def build_jit(self) -> None:
  71         from torch.utils.cpp_extension import load
  72 
  73         build_directory = _Extension.get_jit_extension_folder_path()
  74         build_directory = Path(build_directory)
  75         build_directory.mkdir(parents=True, exist_ok=True)
  76 
  77         # check if the kernel has been built
  78         compiled_before = False
  79         kernel_file_path = build_directory.joinpath(f"{self.name}.o")
  80         if kernel_file_path.exists():
  81             compiled_before = True
  82 
  83         # load the kernel
  84         if compiled_before:
  85             print(f"[extension] Loading the JIT-built {self.name} kernel during runtime now")
  86         else:
  87             print(f"[extension] Compiling the JIT {self.name} kernel during runtime now")
  88 
  89         build_start = time.time()
  90         op_kernel = load(
  91             name=self.name,
  92             sources=self.strip_empty_entries(self.sources_files()),
  93             extra_include_paths=self.strip_empty_entries(self.include_dirs()),
  94             extra_cflags=self.cxx_flags(),
  95             extra_ldflags=[],
  96             build_directory=str(build_directory),
  97         )
  98         build_duration = time.time() - build_start
  99 
  100         if compiled_before:
  101             print(f"[extension] Time taken to load {self.name} op: {build_duration} seconds")
  102         else:
  103             print(f"[extension] Time taken to compile {self.name} op: {build_duration} seconds")
  104 
  105         return op_kernel
  106 
  107     # functions must be overrided begin
  108     @abstractmethod
  109     def sources_files(self) -> List[str]:
  110         """
  111         This function should return a list of source files for extensions.
  112         """
  113 
  114     @abstractmethod
  115     def include_dirs(self) -> List[str]:
  116         """
  117         This function should return a list of include files for extensions.
  118         """
  119 
  120     @abstractmethod
  121     def cxx_flags(self) -> List[str]:
  122         """
  123         This function should return a list of cxx compilation flags for extensions.
  124         """
  125 
  126     def load(self):
  127         try:
  128             op_kernel = self.import_op()
  129         except ImportError:
  130             # if import error occurs, it means that the kernel is not pre-built
  131             # so we build it jit
  132             op_kernel = self.build_jit()
  133 
  134         return op_kernel
  135
  [end of extensions/cpp_extension.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/extensions/cpp_extension.py b/extensions/cpp_extension.py
  --- a/extensions/cpp_extension.py
  +++ b/extensions/cpp_extension.py
  @@ -126,7 +126,7 @@
       def load(self):
           try:
               op_kernel = self.import_op()
  -        except ImportError:
  +        except (ImportError, ModuleNotFoundError):
               # if import error occurs, it means that the kernel is not pre-built
               # so we build it jit
               op_kernel = self.build_jit()
  
verification_info: {"golden_diff": "diff --git a/extensions/cpp_extension.py b/extensions/cpp_extension.py\n--- a/extensions/cpp_extension.py\n+++ b/extensions/cpp_extension.py\n@@ -126,7 +126,7 @@\n     def load(self):\n         try:\n             op_kernel = self.import_op()\n-        except ImportError:\n+        except (ImportError, ModuleNotFoundError):\n             # if import error occurs, it means that the kernel is not pre-built\n             # so we build it jit\n             op_kernel = self.build_jit()\n", "issue": "[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n[tensor] fix some unittests\n\n", "before_files": [{"content": "import importlib\nimport os\nimport time\nfrom abc import abstractmethod\nfrom pathlib import Path\nfrom typing import List\n\nfrom .base_extension import _Extension\n\n__all__ = [\"_CppExtension\"]\n\n\nclass _CppExtension(_Extension):\n    def __init__(self, name: str, priority: int = 1):\n        super().__init__(name, support_aot=True, support_jit=True, priority=priority)\n\n        # we store the op as an attribute to avoid repeated building and loading\n        self.cached_op = None\n\n        # build-related variables\n        self.prebuilt_module_path = \"colossalai._C\"\n        self.prebuilt_import_path = f\"{self.prebuilt_module_path}.{self.name}\"\n        self.version_dependent_macros = [\"-DVERSION_GE_1_1\", \"-DVERSION_GE_1_3\", \"-DVERSION_GE_1_5\"]\n\n    def csrc_abs_path(self, path):\n        return os.path.join(self.relative_to_abs_path(\"csrc\"), path)\n\n    def relative_to_abs_path(self, code_path: str) -> str:\n        \"\"\"\n        This function takes in a path relative to the colossalai root directory and return the absolute path.\n        \"\"\"\n\n        # get the current file path\n        # iteratively check the parent directory\n        # if the parent directory is \"extensions\", then the current file path is the root directory\n        # otherwise, the current file path is inside the root directory\n        current_file_path = Path(__file__)\n        while True:\n            if current_file_path.name == \"extensions\":\n                break\n            else:\n                current_file_path = current_file_path.parent\n        extension_module_path = current_file_path\n        code_abs_path = extension_module_path.joinpath(code_path)\n        return str(code_abs_path)\n\n    # functions must be overrided over\n    def strip_empty_entries(self, args):\n        \"\"\"\n        Drop any empty strings from the list of compile and link flags\n        \"\"\"\n        return [x for x in args if len(x) > 0]\n\n    def import_op(self):\n        \"\"\"\n        This function will import the op module by its string name.\n        \"\"\"\n        return importlib.import_module(self.prebuilt_import_path)\n\n    def build_aot(self) -> \"CppExtension\":\n        from torch.utils.cpp_extension import CppExtension\n\n        return CppExtension(\n            name=self.prebuilt_import_path,\n            sources=self.strip_empty_entries(self.sources_files()),\n            include_dirs=self.strip_empty_entries(self.include_dirs()),\n            extra_compile_args=self.strip_empty_entries(self.cxx_flags()),\n        )\n\n    def build_jit(self) -> None:\n        from torch.utils.cpp_extension import load\n\n        build_directory = _Extension.get_jit_extension_folder_path()\n        build_directory = Path(build_directory)\n        build_directory.mkdir(parents=True, exist_ok=True)\n\n        # check if the kernel has been built\n        compiled_before = False\n        kernel_file_path = build_directory.joinpath(f\"{self.name}.o\")\n        if kernel_file_path.exists():\n            compiled_before = True\n\n        # load the kernel\n        if compiled_before:\n            print(f\"[extension] Loading the JIT-built {self.name} kernel during runtime now\")\n        else:\n            print(f\"[extension] Compiling the JIT {self.name} kernel during runtime now\")\n\n        build_start = time.time()\n        op_kernel = load(\n            name=self.name,\n            sources=self.strip_empty_entries(self.sources_files()),\n            extra_include_paths=self.strip_empty_entries(self.include_dirs()),\n            extra_cflags=self.cxx_flags(),\n            extra_ldflags=[],\n            build_directory=str(build_directory),\n        )\n        build_duration = time.time() - build_start\n\n        if compiled_before:\n            print(f\"[extension] Time taken to load {self.name} op: {build_duration} seconds\")\n        else:\n            print(f\"[extension] Time taken to compile {self.name} op: {build_duration} seconds\")\n\n        return op_kernel\n\n    # functions must be overrided begin\n    @abstractmethod\n    def sources_files(self) -> List[str]:\n        \"\"\"\n        This function should return a list of source files for extensions.\n        \"\"\"\n\n    @abstractmethod\n    def include_dirs(self) -> List[str]:\n        \"\"\"\n        This function should return a list of include files for extensions.\n        \"\"\"\n\n    @abstractmethod\n    def cxx_flags(self) -> List[str]:\n        \"\"\"\n        This function should return a list of cxx compilation flags for extensions.\n        \"\"\"\n\n    def load(self):\n        try:\n            op_kernel = self.import_op()\n        except ImportError:\n            # if import error occurs, it means that the kernel is not pre-built\n            # so we build it jit\n            op_kernel = self.build_jit()\n\n        return op_kernel\n", "path": "extensions/cpp_extension.py"}]}