prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  @validate_call on instance method of class with `__slots__` raises "AttributeError: object attribute is read-only"
  ### Initial Checks
  
  - [X] I confirm that I'm using Pydantic V2
  
  ### Description
  
  When the @validate_call decorator is applied to an instance method of a class with `__slots__` set, calls to the instance method raise an AttributeError:
  ```
  Traceback (most recent call last):
    File "./test_validate_call.py", line 25, in <module>
      c.any_instance_method()
    File "./.venv/lib/python3.8/site-packages/pydantic/_internal/_validate_call.py", line 118, in __get__
      object.__setattr__(obj, self._name, result)
  AttributeError: 'ClassWithSlots' object attribute 'any_instance_method' is read-only
  ```
  
  This error is not raised when using the `@validate_arguments` decorator instead of `@validate_call`.
  
  ### Example Code
  
  ```Python
  from pydantic import validate_call
  
  class ClassWithSlots():
      __slots__ = {}
  
      @validate_call
      def any_instance_method(self):
          pass
  
  c = ClassWithSlots()
  c.any_instance_method()
  ```
  
  
  ### Python, Pydantic & OS Version
  
  ```Text
  pydantic version: 2.3.0
          pydantic-core version: 2.6.3
            pydantic-core build: profile=release pgo=true
                   install path: ./.venv/lib/python3.8/site-packages/pydantic
                 python version: 3.8.10 (default, May 26 2023, 14:05:08)  [GCC 9.4.0]
                       platform: Linux-5.15.0-83-generic-x86_64-with-glibc2.29
       optional deps. installed: ['typing-extensions']
  ```
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `pydantic/_internal/_validate_call.py`
  Content:
  ```
  1 from __future__ import annotations as _annotations
  2 
  3 import inspect
  4 from dataclasses import dataclass
  5 from functools import partial
  6 from typing import Any, Awaitable, Callable
  7 
  8 import pydantic_core
  9 
  10 from ..config import ConfigDict
  11 from ..plugin._schema_validator import create_schema_validator
  12 from . import _generate_schema, _typing_extra
  13 from ._config import ConfigWrapper
  14 
  15 
  16 @dataclass
  17 class CallMarker:
  18     function: Callable[..., Any]
  19     validate_return: bool
  20 
  21 
  22 class ValidateCallWrapper:
  23     """This is a wrapper around a function that validates the arguments passed to it, and optionally the return value.
  24 
  25     It's partially inspired by `wraps` which in turn uses `partial`, but extended to be a descriptor so
  26     these functions can be applied to instance methods, class methods, static methods, as well as normal functions.
  27     """
  28 
  29     __slots__ = (
  30         'raw_function',
  31         '_config',
  32         '_validate_return',
  33         '__pydantic_core_schema__',
  34         '__pydantic_validator__',
  35         '__signature__',
  36         '__name__',
  37         '__qualname__',
  38         '__annotations__',
  39         '__dict__',  # required for __module__
  40     )
  41 
  42     def __init__(self, function: Callable[..., Any], config: ConfigDict | None, validate_return: bool):
  43         self.raw_function = function
  44         self._config = config
  45         self._validate_return = validate_return
  46         self.__signature__ = inspect.signature(function)
  47         if isinstance(function, partial):
  48             func = function.func
  49             self.__name__ = f'partial({func.__name__})'
  50             self.__qualname__ = f'partial({func.__qualname__})'
  51             self.__annotations__ = func.__annotations__
  52             self.__module__ = func.__module__
  53             self.__doc__ = func.__doc__
  54         else:
  55             self.__name__ = function.__name__
  56             self.__qualname__ = function.__qualname__
  57             self.__annotations__ = function.__annotations__
  58             self.__module__ = function.__module__
  59             self.__doc__ = function.__doc__
  60 
  61         namespace = _typing_extra.add_module_globals(function, None)
  62         config_wrapper = ConfigWrapper(config)
  63         gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)
  64         schema = gen_schema.clean_schema(gen_schema.generate_schema(function))
  65         self.__pydantic_core_schema__ = schema
  66         core_config = config_wrapper.core_config(self)
  67         self.__pydantic_validator__ = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)
  68 
  69         if self._validate_return:
  70             return_type = (
  71                 self.__signature__.return_annotation
  72                 if self.__signature__.return_annotation is not self.__signature__.empty
  73                 else Any
  74             )
  75             gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)
  76             schema = gen_schema.clean_schema(gen_schema.generate_schema(return_type))
  77             self.__return_pydantic_core_schema__ = schema
  78             validator = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)
  79             if inspect.iscoroutinefunction(self.raw_function):
  80 
  81                 async def return_val_wrapper(aw: Awaitable[Any]) -> None:
  82                     return validator.validate_python(await aw)
  83 
  84                 self.__return_pydantic_validator__ = return_val_wrapper
  85             else:
  86                 self.__return_pydantic_validator__ = validator.validate_python
  87         else:
  88             self.__return_pydantic_core_schema__ = None
  89             self.__return_pydantic_validator__ = None
  90 
  91         self._name: str | None = None  # set by __get__, used to set the instance attribute when decorating methods
  92 
  93     def __call__(self, *args: Any, **kwargs: Any) -> Any:
  94         res = self.__pydantic_validator__.validate_python(pydantic_core.ArgsKwargs(args, kwargs))
  95         if self.__return_pydantic_validator__:
  96             return self.__return_pydantic_validator__(res)
  97         return res
  98 
  99     def __get__(self, obj: Any, objtype: type[Any] | None = None) -> ValidateCallWrapper:
  100         """Bind the raw function and return another ValidateCallWrapper wrapping that."""
  101         if obj is None:
  102             try:
  103                 # Handle the case where a method is accessed as a class attribute
  104                 return objtype.__getattribute__(objtype, self._name)  # type: ignore
  105             except AttributeError:
  106                 # This will happen the first time the attribute is accessed
  107                 pass
  108 
  109         bound_function = self.raw_function.__get__(obj, objtype)
  110         result = self.__class__(bound_function, self._config, self._validate_return)
  111         if self._name is not None:
  112             if obj is not None:
  113                 object.__setattr__(obj, self._name, result)
  114             else:
  115                 object.__setattr__(objtype, self._name, result)
  116         return result
  117 
  118     def __set_name__(self, owner: Any, name: str) -> None:
  119         self._name = name
  120 
  121     def __repr__(self) -> str:
  122         return f'ValidateCallWrapper({self.raw_function})'
  123
  ```
  --- 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/pydantic/_internal/_validate_call.py b/pydantic/_internal/_validate_call.py
  --- a/pydantic/_internal/_validate_call.py
  +++ b/pydantic/_internal/_validate_call.py
  @@ -108,6 +108,11 @@
   
           bound_function = self.raw_function.__get__(obj, objtype)
           result = self.__class__(bound_function, self._config, self._validate_return)
  +
  +        # skip binding to instance when obj or objtype has __slots__ attribute
  +        if hasattr(obj, '__slots__') or hasattr(objtype, '__slots__'):
  +            return result
  +
           if self._name is not None:
               if obj is not None:
                   object.__setattr__(obj, self._name, result)
  @@ -120,3 +125,6 @@
   
       def __repr__(self) -> str:
           return f'ValidateCallWrapper({self.raw_function})'
  +
  +    def __eq__(self, other):
  +        return self.raw_function == other.raw_function
  
verification_info: {"golden_diff": "diff --git a/pydantic/_internal/_validate_call.py b/pydantic/_internal/_validate_call.py\n--- a/pydantic/_internal/_validate_call.py\n+++ b/pydantic/_internal/_validate_call.py\n@@ -108,6 +108,11 @@\n \n         bound_function = self.raw_function.__get__(obj, objtype)\n         result = self.__class__(bound_function, self._config, self._validate_return)\n+\n+        # skip binding to instance when obj or objtype has __slots__ attribute\n+        if hasattr(obj, '__slots__') or hasattr(objtype, '__slots__'):\n+            return result\n+\n         if self._name is not None:\n             if obj is not None:\n                 object.__setattr__(obj, self._name, result)\n@@ -120,3 +125,6 @@\n \n     def __repr__(self) -> str:\n         return f'ValidateCallWrapper({self.raw_function})'\n+\n+    def __eq__(self, other):\n+        return self.raw_function == other.raw_function\n", "issue": "@validate_call on instance method of class with `__slots__` raises \"AttributeError: object attribute is read-only\"\n### Initial Checks\n\n- [X] I confirm that I'm using Pydantic V2\n\n### Description\n\nWhen the @validate_call decorator is applied to an instance method of a class with `__slots__` set, calls to the instance method raise an AttributeError:\r\n```\r\nTraceback (most recent call last):\r\n  File \"./test_validate_call.py\", line 25, in <module>\r\n    c.any_instance_method()\r\n  File \"./.venv/lib/python3.8/site-packages/pydantic/_internal/_validate_call.py\", line 118, in __get__\r\n    object.__setattr__(obj, self._name, result)\r\nAttributeError: 'ClassWithSlots' object attribute 'any_instance_method' is read-only\r\n```\r\n\r\nThis error is not raised when using the `@validate_arguments` decorator instead of `@validate_call`.\n\n### Example Code\n\n```Python\nfrom pydantic import validate_call\r\n\r\nclass ClassWithSlots():\r\n    __slots__ = {}\r\n\r\n    @validate_call\r\n    def any_instance_method(self):\r\n        pass\r\n\r\nc = ClassWithSlots()\r\nc.any_instance_method()\n```\n\n\n### Python, Pydantic & OS Version\n\n```Text\npydantic version: 2.3.0\r\n        pydantic-core version: 2.6.3\r\n          pydantic-core build: profile=release pgo=true\r\n                 install path: ./.venv/lib/python3.8/site-packages/pydantic\r\n               python version: 3.8.10 (default, May 26 2023, 14:05:08)  [GCC 9.4.0]\r\n                     platform: Linux-5.15.0-83-generic-x86_64-with-glibc2.29\r\n     optional deps. installed: ['typing-extensions']\n```\n\n", "before_files": [{"content": "from __future__ import annotations as _annotations\n\nimport inspect\nfrom dataclasses import dataclass\nfrom functools import partial\nfrom typing import Any, Awaitable, Callable\n\nimport pydantic_core\n\nfrom ..config import ConfigDict\nfrom ..plugin._schema_validator import create_schema_validator\nfrom . import _generate_schema, _typing_extra\nfrom ._config import ConfigWrapper\n\n\n@dataclass\nclass CallMarker:\n    function: Callable[..., Any]\n    validate_return: bool\n\n\nclass ValidateCallWrapper:\n    \"\"\"This is a wrapper around a function that validates the arguments passed to it, and optionally the return value.\n\n    It's partially inspired by `wraps` which in turn uses `partial`, but extended to be a descriptor so\n    these functions can be applied to instance methods, class methods, static methods, as well as normal functions.\n    \"\"\"\n\n    __slots__ = (\n        'raw_function',\n        '_config',\n        '_validate_return',\n        '__pydantic_core_schema__',\n        '__pydantic_validator__',\n        '__signature__',\n        '__name__',\n        '__qualname__',\n        '__annotations__',\n        '__dict__',  # required for __module__\n    )\n\n    def __init__(self, function: Callable[..., Any], config: ConfigDict | None, validate_return: bool):\n        self.raw_function = function\n        self._config = config\n        self._validate_return = validate_return\n        self.__signature__ = inspect.signature(function)\n        if isinstance(function, partial):\n            func = function.func\n            self.__name__ = f'partial({func.__name__})'\n            self.__qualname__ = f'partial({func.__qualname__})'\n            self.__annotations__ = func.__annotations__\n            self.__module__ = func.__module__\n            self.__doc__ = func.__doc__\n        else:\n            self.__name__ = function.__name__\n            self.__qualname__ = function.__qualname__\n            self.__annotations__ = function.__annotations__\n            self.__module__ = function.__module__\n            self.__doc__ = function.__doc__\n\n        namespace = _typing_extra.add_module_globals(function, None)\n        config_wrapper = ConfigWrapper(config)\n        gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)\n        schema = gen_schema.clean_schema(gen_schema.generate_schema(function))\n        self.__pydantic_core_schema__ = schema\n        core_config = config_wrapper.core_config(self)\n        self.__pydantic_validator__ = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)\n\n        if self._validate_return:\n            return_type = (\n                self.__signature__.return_annotation\n                if self.__signature__.return_annotation is not self.__signature__.empty\n                else Any\n            )\n            gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)\n            schema = gen_schema.clean_schema(gen_schema.generate_schema(return_type))\n            self.__return_pydantic_core_schema__ = schema\n            validator = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)\n            if inspect.iscoroutinefunction(self.raw_function):\n\n                async def return_val_wrapper(aw: Awaitable[Any]) -> None:\n                    return validator.validate_python(await aw)\n\n                self.__return_pydantic_validator__ = return_val_wrapper\n            else:\n                self.__return_pydantic_validator__ = validator.validate_python\n        else:\n            self.__return_pydantic_core_schema__ = None\n            self.__return_pydantic_validator__ = None\n\n        self._name: str | None = None  # set by __get__, used to set the instance attribute when decorating methods\n\n    def __call__(self, *args: Any, **kwargs: Any) -> Any:\n        res = self.__pydantic_validator__.validate_python(pydantic_core.ArgsKwargs(args, kwargs))\n        if self.__return_pydantic_validator__:\n            return self.__return_pydantic_validator__(res)\n        return res\n\n    def __get__(self, obj: Any, objtype: type[Any] | None = None) -> ValidateCallWrapper:\n        \"\"\"Bind the raw function and return another ValidateCallWrapper wrapping that.\"\"\"\n        if obj is None:\n            try:\n                # Handle the case where a method is accessed as a class attribute\n                return objtype.__getattribute__(objtype, self._name)  # type: ignore\n            except AttributeError:\n                # This will happen the first time the attribute is accessed\n                pass\n\n        bound_function = self.raw_function.__get__(obj, objtype)\n        result = self.__class__(bound_function, self._config, self._validate_return)\n        if self._name is not None:\n            if obj is not None:\n                object.__setattr__(obj, self._name, result)\n            else:\n                object.__setattr__(objtype, self._name, result)\n        return result\n\n    def __set_name__(self, owner: Any, name: str) -> None:\n        self._name = name\n\n    def __repr__(self) -> str:\n        return f'ValidateCallWrapper({self.raw_function})'\n", "path": "pydantic/_internal/_validate_call.py"}], "after_files": [{"content": "from __future__ import annotations as _annotations\n\nimport inspect\nfrom dataclasses import dataclass\nfrom functools import partial\nfrom typing import Any, Awaitable, Callable\n\nimport pydantic_core\n\nfrom ..config import ConfigDict\nfrom ..plugin._schema_validator import create_schema_validator\nfrom . import _generate_schema, _typing_extra\nfrom ._config import ConfigWrapper\n\n\n@dataclass\nclass CallMarker:\n    function: Callable[..., Any]\n    validate_return: bool\n\n\nclass ValidateCallWrapper:\n    \"\"\"This is a wrapper around a function that validates the arguments passed to it, and optionally the return value.\n\n    It's partially inspired by `wraps` which in turn uses `partial`, but extended to be a descriptor so\n    these functions can be applied to instance methods, class methods, static methods, as well as normal functions.\n    \"\"\"\n\n    __slots__ = (\n        'raw_function',\n        '_config',\n        '_validate_return',\n        '__pydantic_core_schema__',\n        '__pydantic_validator__',\n        '__signature__',\n        '__name__',\n        '__qualname__',\n        '__annotations__',\n        '__dict__',  # required for __module__\n    )\n\n    def __init__(self, function: Callable[..., Any], config: ConfigDict | None, validate_return: bool):\n        self.raw_function = function\n        self._config = config\n        self._validate_return = validate_return\n        self.__signature__ = inspect.signature(function)\n        if isinstance(function, partial):\n            func = function.func\n            self.__name__ = f'partial({func.__name__})'\n            self.__qualname__ = f'partial({func.__qualname__})'\n            self.__annotations__ = func.__annotations__\n            self.__module__ = func.__module__\n            self.__doc__ = func.__doc__\n        else:\n            self.__name__ = function.__name__\n            self.__qualname__ = function.__qualname__\n            self.__annotations__ = function.__annotations__\n            self.__module__ = function.__module__\n            self.__doc__ = function.__doc__\n\n        namespace = _typing_extra.add_module_globals(function, None)\n        config_wrapper = ConfigWrapper(config)\n        gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)\n        schema = gen_schema.clean_schema(gen_schema.generate_schema(function))\n        self.__pydantic_core_schema__ = schema\n        core_config = config_wrapper.core_config(self)\n        self.__pydantic_validator__ = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)\n\n        if self._validate_return:\n            return_type = (\n                self.__signature__.return_annotation\n                if self.__signature__.return_annotation is not self.__signature__.empty\n                else Any\n            )\n            gen_schema = _generate_schema.GenerateSchema(config_wrapper, namespace)\n            schema = gen_schema.clean_schema(gen_schema.generate_schema(return_type))\n            self.__return_pydantic_core_schema__ = schema\n            validator = create_schema_validator(schema, core_config, config_wrapper.plugin_settings)\n            if inspect.iscoroutinefunction(self.raw_function):\n\n                async def return_val_wrapper(aw: Awaitable[Any]) -> None:\n                    return validator.validate_python(await aw)\n\n                self.__return_pydantic_validator__ = return_val_wrapper\n            else:\n                self.__return_pydantic_validator__ = validator.validate_python\n        else:\n            self.__return_pydantic_core_schema__ = None\n            self.__return_pydantic_validator__ = None\n\n        self._name: str | None = None  # set by __get__, used to set the instance attribute when decorating methods\n\n    def __call__(self, *args: Any, **kwargs: Any) -> Any:\n        res = self.__pydantic_validator__.validate_python(pydantic_core.ArgsKwargs(args, kwargs))\n        if self.__return_pydantic_validator__:\n            return self.__return_pydantic_validator__(res)\n        return res\n\n    def __get__(self, obj: Any, objtype: type[Any] | None = None) -> ValidateCallWrapper:\n        \"\"\"Bind the raw function and return another ValidateCallWrapper wrapping that.\"\"\"\n        if obj is None:\n            try:\n                # Handle the case where a method is accessed as a class attribute\n                return objtype.__getattribute__(objtype, self._name)  # type: ignore\n            except AttributeError:\n                # This will happen the first time the attribute is accessed\n                pass\n\n        bound_function = self.raw_function.__get__(obj, objtype)\n        result = self.__class__(bound_function, self._config, self._validate_return)\n\n        # skip binding to instance when obj or objtype has __slots__ attribute\n        if hasattr(obj, '__slots__') or hasattr(objtype, '__slots__'):\n            return result\n\n        if self._name is not None:\n            if obj is not None:\n                object.__setattr__(obj, self._name, result)\n            else:\n                object.__setattr__(objtype, self._name, result)\n        return result\n\n    def __set_name__(self, owner: Any, name: str) -> None:\n        self._name = name\n\n    def __repr__(self) -> str:\n        return f'ValidateCallWrapper({self.raw_function})'\n\n    def __eq__(self, other):\n        return self.raw_function == other.raw_function\n", "path": "pydantic/_internal/_validate_call.py"}]}