imbolc

/**
 * This is an updated 1.0.1 version
 *
 * Changes: `template:lorem` became `hx-template#lorem`
 *
 * === Original description:
 *
 * HTMX Template Extension
 * by Katrina Scialdone (https://github.com/katrinakitten)
 *

imbolc

use serde::{de::DeserializeOwned, Deserialize, Serialize};
use std::fmt::Debug;
use std::marker::PhantomData;
use std::sync::Arc;

struct JobRegistry<J, C> {
    jobs: PhantomData<J>,
    context: Arc<C>,
}

imbolc

anyhow = "1"
log = "0.4"
tracing = { git = "https://github.com/tokio-rs/tracing", rev = "f81426b" }
tracing-subscriber = { git = "https://github.com/tokio-rs/tracing", rev = "f81426b"  }
tracing-journald = { git = "https://github.com/tokio-rs/tracing", rev = "f81426b"  }

imbolc

The issue

Django native async views can handle multiple concurrent requests to another internal pages. But wrapped in channels application it hangs on a low level of concurrency. It doesn't happen with external requests though.

Preparation

pip install uvicorn aiohttp channels channels-redis

imbolc

from flask import Flask, jsonify

app = Flask(__name__)


@app.route("/")
def hello_world():
    return jsonify(hello="world")

imbolc

Flake8 complains with 4:5: F401 'pydantic' imported but unused about this code:

from typing import TYPE_CHECKING, Optional, Type

if TYPE_CHECKING:
    import pydantic

def f(*, model: Optional[Type["pydantic.BaseModel"]] = None):
 pass

imbolc

from starlette.applications import Starlette
from starlette.routing import Route
from starlette.responses import PlainTextResponse
import httpx
import aiohttp


HOST, PORT = "localhost", 8000
URL = f"http://{HOST}:{PORT}/"

imbolc

Keybase proof

I hereby claim:

• I am imbolc on github.
• I am imbolc (https://keybase.io/imbolc) on keybase.
• I have a public key ASCm5CHgFY1EKuPBDsM6EiRk_E4K_gCyigotWFgtEICo9Ao

To claim this, I am signing this object:

imbolc

{#each menu as flavour}
	<Flavour {flavour}/>
{/each}

<script>
	import Flavour from "./Flavour.svelte"
	let menu = [
		'Cookies and cream',
		'Mint choc chip',
		'Raspberry ripple'

imbolc

import time
import numpy as np


tm = time.time()
size = 10000
cycles = 100
matrix = np.ones((size, size), dtype=int)
vector = np.array([-1 if x % 2 else 1 for x in range(size)])
for i in range(cycles):