infra: update mypy 1.10, ruff 0.5 (#23721)

```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path

import toml
import subprocess
import re

ROOT_DIR = Path(__file__).parents[1]


def main():
    for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
        print(path)
        with open(path, "rb") as f:
            pyproject = tomllib.load(f)
        try:
            pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
                "^1.10"
            )
            pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
                "^0.5"
            )
        except KeyError:
            continue
        with open(path, "w") as f:
            toml.dump(pyproject, f)
        cwd = "/".join(path.split("/")[:-1])
        completed = subprocess.run(
            "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )
        logs = completed.stdout.split("\n")

        to_ignore = {}
        for l in logs:
            if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
                path, line_no, error_type = re.match(
                    "^(.*)\:(\d+)\: error:.*\[(.*)\]", l
                ).groups()
                if (path, line_no) in to_ignore:
                    to_ignore[(path, line_no)].append(error_type)
                else:
                    to_ignore[(path, line_no)] = [error_type]
        print(len(to_ignore))
        for (error_path, line_no), error_types in to_ignore.items():
            all_errors = ", ".join(error_types)
            full_path = f"{cwd}/{error_path}"
            try:
                with open(full_path, "r") as f:
                    file_lines = f.readlines()
            except FileNotFoundError:
                continue
            file_lines[int(line_no) - 1] = (
                file_lines[int(line_no) - 1][:-1] + f"  # type: ignore[{all_errors}]\n"
            )
            with open(full_path, "w") as f:
                f.write("".join(file_lines))

        subprocess.run(
            "poetry run ruff format .; poetry run ruff --select I --fix .",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )


if __name__ == "__main__":
    main()

```

libs/experimental/langchain_experimental/llms/__init__.py

@@ -1,6 +1,7 @@
 """Experimental **LLM** classes provide
 access to the large language model (**LLM**) APIs and services.
 """
+
 from langchain_experimental.llms.jsonformer_decoder import JsonFormer
 from langchain_experimental.llms.llamaapi import ChatLlamaAPI
 from langchain_experimental.llms.lmformatenforcer_decoder import LMFormatEnforcer

libs/experimental/langchain_experimental/llms/anthropic_functions.py

@@ -200,7 +200,7 @@ class AnthropicFunctions(BaseChatModel):
 
             kwargs = {
                 "function_call": {
-                    "name": function_call_name,
+                    "name": function_call_name,  # type: ignore[has-type]
                     "arguments": arguments,
                 }
             }

libs/experimental/langchain_experimental/llms/jsonformer_decoder.py

@@ -1,4 +1,5 @@
 """Experimental implementation of jsonformer wrapped LLM."""
+
 from __future__ import annotations
 
 import json

libs/experimental/langchain_experimental/llms/lmformatenforcer_decoder.py

@@ -1,4 +1,5 @@
 """Experimental implementation of lm-format-enforcer wrapped LLM."""
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING, Any, List, Optional

libs/experimental/langchain_experimental/llms/ollama_functions.py

@@ -260,8 +260,8 @@ class OllamaFunctions(ChatOllama):
             )
         llm = self.bind_tools(tools=[schema], format="json")
         if is_pydantic_schema:
-            output_parser: OutputParserLike = PydanticOutputParser(
-                pydantic_object=schema
+            output_parser: OutputParserLike = PydanticOutputParser(  # type: ignore[type-var]
+                pydantic_object=schema  # type: ignore[arg-type]
             )
         else:
             output_parser = JsonOutputParser()

libs/experimental/langchain_experimental/llms/rellm_decoder.py

@@ -1,4 +1,5 @@
 """Experimental implementation of RELLM wrapped LLM."""
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING, Any, List, Optional, cast