So you want to write a sync system for a web app with offline and realtime support? Good luck. You might find the following resources useful.
Database in a browser, a spec (Stepan Parunashvili)
What problem are we trying to solve with a sync system?
The web of tomorrow (Nikita Prokopov)
| from typing import Dict, Union | |
| from huggingface_hub import get_safetensors_metadata | |
| import argparse | |
| import sys | |
| # Example: | |
| # python get_gpu_memory.py Qwen/Qwen2.5-7B-Instruct | |
| # Dictionary mapping dtype strings to their byte sizes | |
| bytes_per_dtype: Dict[str, float] = { |
| import asyncio | |
| import base64 | |
| import json | |
| import os | |
| import pyaudio | |
| from websockets.asyncio.client import connect | |
| class SimpleGeminiVoice: | |
| def __init__(self): |
| # Taken from: https://gist.github.com/sayakpaul/23862a2e7f5ab73dfdcc513751289bea | |
| from diffusers import FluxPipeline, FluxTransformer2DModel | |
| from transformers import T5EncoderModel | |
| import torch | |
| import gc | |
| def flush(): | |
| gc.collect() |
| # requires sentence_transformers>=3.2.0 | |
| from sentence_transformers import SentenceTransformer, export_optimized_onnx_model, export_dynamic_quantized_onnx_model | |
| # The model to export to ONNX (+ optimize, quantize), OpenVINO | |
| model_id = "mixedbread-ai/mxbai-embed-large-v1" | |
| # Where to save the exported models locally | |
| output_dir = model_id.replace("/", "-") | |
| onnx_model = SentenceTransformer(model_id, backend="onnx", model_kwargs={"export": True}) | |
| onnx_model.save_pretrained(output_dir) |
| Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output. | |
| - Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure. | |
| - Reasoning Before Conclusions: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS! | |
| - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed. | |
| - Conclusion, classifications, or results should ALWAYS appear last. | |
| - Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements. | |
| - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from p |
| #!/usr/bin/env python3 | |
| import asyncio | |
| import time | |
| import aiohttp | |
| START = time.monotonic() | |
| /* | |
| * This is free and unencumbered software released into the public domain. | |
| * | |
| * For more information, please refer to <https://unlicense.org> | |
| */ | |
| //Regular text | |
| #define BLK "\e[0;30m" | |
| #define RED "\e[0;31m" | |
| #define GRN "\e[0;32m" |
| #!/usr/bin/env python | |
| """ | |
| A simple producer/consumer example, using Queue.task_done and Queue.join | |
| From https://asyncio.readthedocs.io/en/latest/producer_consumer.html | |
| """ | |
| import asyncio | |
| import random |
| def is_valid_state(state): | |
| # check if it is a valid solution | |
| return True | |
| def get_candidates(state): | |
| return [] | |
| def search(state, solutions): | |
| if is_valid_state(state): | |
| solutions.append(state.copy()) |