Louis Maddox lmmx

Code style: one file, no external libraries besides pathlib and Pydantic, never use with open, Python 3.10+ modern code style (list not List style hints), no bloat or sprawl. Prefer list/dictcomps over loops where possible. Don't use global or otherwise 'free' variables for configuration when you could use a Pydantic model, and set default values on fields rather than setting them at runtime where applicable.

	from __future__ import annotations

	from typing import Any

	from pydantic import BaseModel, GetCoreSchemaHandler, TypeAdapter, constr
	from pydantic_core import CoreSchema, core_schema

	aa_ta = TypeAdapter(constr(pattern=r"^(?i)aa.{10}$"))

	from pprint import pformat

	from inline_snapshot import outsource, snapshot


	def round_down_to_order_of_magnitude(n):
	"""Small values go to a decimal, so `int` would coerce to zero"""
	magnitude = 10 ** (len(str(n)) - 1)
	return int((n // magnitude) * magnitude) or n

	from pathlib import Path
	from pydantic import BaseModel, BeforeValidator, TypeAdapter, model_validator
	from typing import Annotated, Union, Any, Generic, TypeVar

	RoutePart = Union[int, str]
	rp_ta = TypeAdapter(RoutePart)


	def split_route(route: str) -> list[RoutePart]:
	match route:

	from pathlib import Path
	from pydantic import BaseModel, BeforeValidator, TypeAdapter
	from typing import Annotated, Union

	RoutePart = Union[int, str]
	rp_ta = TypeAdapter(RoutePart)


	def split_route(route: str) -> list[RoutePart]:
	match route:

	from pydantic import BaseModel, model_validator

	class Model(BaseModel, extra="allow"):
	a: int
	b: int

	@model_validator(mode="before")
	@classmethod
	def pop_off_extra(cls, values: dict):
	fields = list(cls.model_fields)

	from inspect import Parameter, signature
	from typing import Any, Callable, ClassVar, Generic, ParamSpec, TypeVar

	from pydantic import BaseModel, Field, model_validator

	P = ParamSpec("P")
	R = TypeVar("R")
	T = TypeVar("T", bound=BaseModel)

	from inspect import Parameter, signature
	from typing import Any, Callable, Generic, ParamSpec, TypeVar

	from pydantic import BaseModel, Field, model_validator

	P = ParamSpec("P")
	R = TypeVar("R")
	T = TypeVar("T", bound=BaseModel)

	from typing import Any, Callable, Generic, Literal, ParamSpec, TypeVar
	from pydantic import BaseModel, Field, model_validator, TypeAdapter, NewPath, FilePath
	from inspect import signature, Parameter
	from pathlib import Path

	P = ParamSpec("P")
	R = TypeVar("R")


	class FileEffect(BaseModel):