asyncio

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Describe the bug

Grepping over the source code shows that chardet/cchardet is still present in codebase, but chardet was replaced with charset-normalizer by #5930

A hero for dropping all remaining parts is wanted!

:)

To Reproduce

grep over aiohttp cloned repo; or use github web search: https://github.com/aio-libs/aiohttp/search?q=chardet&type=code

Expected behavior

No c

After reading through the docs section on NETRC support, we happen to support passing the NETRC file location via a NETRC environment variable. But this is not documented in Environment Variables, so let's add it there.

Reproducible in:

The Slack SDK version

All versions

Steps to reproduce:

from slack_sdk.models.blocks import DividerBlock
DividerBlock() == DividerBlock()

It happens with any pair of equivalent blocks.

Expected result:

True

Actual result:

False

Suggested solution

Implementing __eq__ in JsonObject.

class Json

Great stuff! I'd love to use this in magic-wormhole.. I only need the DataChannel, though. Any idea how hard it'd be to define a 'feature' for the codecs, so pip install aiortc[video] gets you the dependencies on the codecs, but pip install aiortc[datachannel] does not?

Example of usage:

users = await User.filter(first_name__ilike="c%r")

I know this can be done with startswith and endswith, but there are cases where using the LIKE operator is better:

users = await User.filter(first_name__ilike="j_r%")

This would be used to match Jeremy, Jorge, Jordan...

Is your feature request related to a problem? Please describe.
Set disable_web_page_preview in aiogram.Bot:
bot = aiogram.Bot(token=..., disable_web_page_preview=...)

Describe the solution you'd like
Like logic with parse_mode, but with disable_web_page_preview (https://github.com/aiogram/aiogram/blob/358ecc78213183adeb70809d7f3e95f1524657fb/aiogram/bot/bot.py#L311-L312):

We should create an extension that allows you to profile your request using https://github.com/joerick/pyinstrument

Should probably an argument that lets you specify the path for the profile report.

Example API:

schema = strawberry.Schema(
	Query,
	extensions=[
		PyInstrument(report_path="./my-report.html")
	]