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"""Benchmark performance of different anonymous identifier generation methods.

This script compares the performance of:
- id() - Python object id (fastest but not globally unique)
- uuid.uuid4() - UUID version 4 (cryptographically random but slower)
- secrets.token_hex() - Cryptographically secure random hex (preferred)

These are relevant for the _anonymous_label.safe_construct() feature where
we need to generate unique identifiers that won't collide.
"""

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# Environment Information

## System
- OS: Fedora Linux 41
- Kernel: 6.17.7-100.fc41.x86_64
- Architecture: x86_64

## Python
- Version: Python 3.14.0
- Location: /opt/python-3.14.0/bin/python3.14

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from __future__ import annotations

from typing import TYPE_CHECKING

import pydantic.dataclasses

from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import ForeignKey
from sqlalchemy import Integer

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#!/usr/bin/env bash


# notes:
# tuning camera:  gtk-v4l package, v4l2-ctl
# we also have:
# ffmpeg, mpg123

# linux
#RESOLUTION="640x480"

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import threading

def one(obj):
    while True:
        skip = set()
        try:
            {k: v for k, v in obj.__dict__.items() if k not in skip}
        except RuntimeError as err:
            print("%s" % err)

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# taken from https://code.activestate.com/recipes/577504/ **plus**
# the comment at https://code.activestate.com/recipes/577504/#c5

from sys import getsizeof, stderr
from itertools import chain
from collections import deque
from reprlib import repr


def total_size(o, handlers={}, verbose=False):

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from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import inspect
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy.orm import aliased
from sqlalchemy.orm import declarative_base

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from sqlalchemy import Column
from sqlalchemy import create_engine
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import select
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy.orm import aliased
from sqlalchemy.orm import declarative_base
from sqlalchemy.orm import Session

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import greenlet
import sqlite3


class _ErrorContainer(object):
    error = None


def _expect_raises_fn(fn):
    ec = _ErrorContainer()

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"""this is getting close but SQLAlchemy is still not instrumenting __init__ such
that it can intercept Pydantic's operations, in particular that list coming
in which it wants to convert to instrumented list.

this probably could be made to work with some more effort but it will
be quite hacky in the end, not really worth it unless there was 
some explicit support in pydantic.

"""