| <h1>Web worker demo</h1> | |
| <h3>Write Code:</h3> | |
| <textarea id="code" rows="10" cols="80">return "hello world";</textarea> | |
| <button id="run">Run</button> | |
| <h3>Output:</h3> | |
| <pre id="output"></pre> | |
| import time | |
| from datetime import datetime, timedelta, timezone | |
| from httpx import Client, Response, HTTPError | |
| ACCOUNT_ID = '...' | |
| PROJECT_NAME = '...' | |
| ENDPOINT = f'https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/pages/projects/{PROJECT_NAME}/deployments' | |
| CF_API_TOKEN = '...' | |
| EXPIRATION_BEFORE = datetime.now(timezone.utc) - timedelta(days=7) |
| import timeit | |
| from pathlib import Path | |
| import orjson | |
| import pydantic_core | |
| import ujson | |
| import json | |
| cases = [ | |
| ('medium_response', Path('../jiter/benches/medium_response.json').read_bytes()), |
| import json | |
| import random | |
| import uuid | |
| from datetime import date | |
| import timeit | |
| from typing import TypeVar, Generic | |
| import pydantic_core | |
| from pydantic import BaseModel |
| // this is lightly better than simple debounce as: | |
| // 1. it kicks of a new search immediately | |
| // 2. it waits for a server re | |
| function debounceLoadOptions(searchUrl: string) { | |
| let running = false | |
| let runNext: [string, OptionsCallback] | null = null | |
| const run = (inputValue: string, callback: OptionsCallback, force: boolean) => { | |
| if (running && !force) { | |
| runNext = [inputValue, callback] |
Opportunity to join Pydantic! We are looking to hire someone to lead our frontend development.
We want to hire a senior engineer who is as experienced with TypeScript, React and UI/UX as we are with Python, Rust and API design.
No recruiters or agencies please, any contact from recruiters will be marked as spam.
| #!/usr/bin/env python3 | |
| import os | |
| from datetime import datetime, timezone | |
| from pathlib import Path | |
| from prompt_toolkit import PromptSession | |
| from prompt_toolkit.history import FileHistory | |
| import openai | |
| from rich.console import Console | |
| from rich.markdown import Markdown |
| import timeit | |
| import json | |
| from urllib.parse import urlparse | |
| import requests | |
| from pydantic import TypeAdapter, HttpUrl | |
| reps = 7 | |
| number = 100 | |
| r = requests.get('https://api.github.com/emojis') |
| import polars as pl | |
| pl.Config.set_tbl_rows(30) | |
| ds = pl.read_parquet('page_views.parquet').sort('ts') | |
| path_counts = ( | |
| ds.with_columns(pl.col('path').str.replace(r'^/(latest|dev-v\d|\d\.\d+)', '')) | |
| .groupby(pl.col('path')) | |
| .agg([pl.count().alias('count')]) |
| """ | |
| pydantic-core: 01fdec6d2242fdf7205663d566be5ba990d1d459 - the custom-dataclass-validator branch | |
| and pydantic: 519800fa5167a57681ba3b202503751aa0f17347 - the dataclasses-v2 branch | |
| """ | |
| from typing import TypeVar | |
| import pytest | |
| from pydantic import BaseModel, ValidationError |