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	/*
	* Coroutines for C
	*
	* Copyright (C) 2025 Ronsor Labs. All rights reserved.
	*
	* Anyone is free to use, copy, modify, or distribute this software for any
	* purpose as long as this notice appears in all copies. This software is
	* provided "as is" without any warranty, and the author will not be liable for
	* any damages related to this software.
	*/

	# Copyright © 2024 Ronsor Labs. All rights reserved
	# Except as otherwise indicated, you may only use this software in accordance with
	# the MIT license.

	# A self-contained RWKV-6 x060 implementation, inspired by mamba_simple.
	# TimeMix and wkv_op_torch adapted from Apache-2.0-licensed:
	# - https://github.com/SmerkyG/gptcore/blob/main/model/experimental/rwkv6_0.py
	# - https://github.com/SmerkyG/gptcore/blob/main/model/experimental/rwkv_inner.py
	# - https://github.com/BlinkDL/RWKV-LM/blob/main/RWKV-v5/src/model.py
	# No guarantees of correctness are made. You'll still have to do proper initialization

	#!/bin/sh
	# License: 0BSD, Copyright (C) 2023 Ronsor Labs.
	# Usage: ./amalgamate.sh path/to/ggml/repo

	GGML_SRC_H='ggml-impl.h ggml-backend-impl.h ggml-quants.h'
	GGML_SRC_C='ggml.c ggml-backend.c ggml-quants.c ggml-alloc.c'
	GGML_INC_H='ggml.h ggml-alloc.h ggml-backend.h'

	ONE_SRC=ggml_one.c
	ONE_HDR=ggml_one.h

	# PyTorch implementation of Multiscale Retention
	# Copyright (C) 2023 Ronsor Labs. This software is licensed to you under the terms of the
	# Free Development Public License 1.0 as published at <https://freedevproject.org/fdpl-1.0>.

	import torch
	from torch import nn, Tensor
	from torch.nn import functional as F

	class XPos(nn.Module):
	def __init__(self, dim: int, theta: int = 10000, scale_base: int = 512):

	<button class=toolbtn>Hello World</button>
	<style>
	.toolbtn {
	background: linear-gradient(180deg, #fefefe 65%, #eeeeee); border-radius: 4px; padding: 5px; padding-left: 10px; padding-right: 10px; border: 1px solid #aaaaaa;
	box-shadow: 0px 1px 1px #aaaaaa;
	}
	</style>

	package main
	import "crypto/sha512"
	import "crypto/rand"
	import "encoding/hex"
	import "strings"
	import "strconv"
	func HashHex(data string) string {
	d := sha512.Sum512([]byte(data))
	return hex.EncodeToString(d[:])
	}