Amxx

// SPDX-License-Identifier: MIT

pragma solidity ^0.8.0;

import "@openzeppelin/contracts/interfaces/IERC20.sol";
import "@openzeppelin/contracts/interfaces/IERC721.sol";
import "@openzeppelin/contracts/interfaces/IERC721Receiver.sol";
import "@openzeppelin/contracts/interfaces/IERC1155.sol";
import "@openzeppelin/contracts/interfaces/IERC1155Receiver.sol";
import "@openzeppelin/contracts/token/ERC1155/ERC1155.sol";

backseats

//SPDX-License-Identifier: MIT
pragma solidity ^0.8.14;

import { Ownable } from "@openzeppelin/contracts/access/Ownable.sol";

interface ISomeContract {
  function giftAToken(address _to, uint _count) external;
  function transferOwnership(address newOwner) external;
}

rasbt

# Sebastian Raschka 09/24/2022
# Create a new conda environment and packages
#   conda create -n whisper python=3.9
#   conda activate whisper
#   conda install mlxtend -c conda-forge

# Install ffmpeg
# macOS & homebrew
#   brew install ffmpeg
# Ubuntu

eyeseast

I have an updated version of this on my blog here: https://chrisamico.com/blog/2023-01-14/python-setup/.

Python

This is my recommended Python setup, as of Fall 2022. The Python landscape can be a confusing mess of overlapping tools that sometimes don't work well together. This is an effort to standardize our approach and environments.

Tools and helpful links:

• Python docs: https://docs.python.org/3/
• Python Standard Library:  - Start here when you're trying to solve a specific problem

Vaibhavs10

#pip install git+https://github.com/huggingface/transformers.git

import datetime
import sys
from transformers import pipeline
from transformers.pipelines.audio_utils import ffmpeg_microphone_live

pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0)
sampling_rate = pipe.feature_extractor.sampling_rate

shawwn

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
{"seed": 374894, "temp": 0.7, "top_p": 0.0, "top_k": 40, "repetition_penalty": 1.1764705882352942, "max_seq_len": 512, "max_gen_len": 511}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Loading
Loaded in 8.72 seconds

============== sample 1 =================

I believe the meaning of life is to grow, learn and give.

cygaar

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.13;

import {ERC721A} from "erc721a/contracts/ERC721A.sol";
import {Ownable} from "@openzeppelin/contracts/access/Ownable.sol";

error MintLimitExceeded();

contract SampleNFT is ERC721A, Ownable {
    uint256 public constant MINT_LIMIT = 10;

rynomad

javascript:(function() {
  function extractText(element) {
    if (element.nodeType === Node.TEXT_NODE) {
      return element.textContent.trim() + ' ';
    }
    if (element.nodeType !== Node.ELEMENT_NODE) {
      return '';
    }
    let text = '';
    for (const child of element.childNodes) {

JD-P

Hermes is a piece of non-deterministic software that performs informal reasoning steps in collaboration with the user. Each step is prepended with some syntax to tell the software what it should be/do. Like so:

HERO [Albert Einstein, Op: Objection], That's not correct. Nothing can travel faster than the speed of light.

Hermes allows the user to call upon any hero in history or myth and use them as a reasoning step. Or have them talk to each other about something. The user can freely mix together their cognition and the simulated cognition of other minds. New operations and syntax can be created at will and Hermes will do its best to respond to and use them.

The user writes down their own cognition as a series of subagents, like so:

USER [A: EMPATHY], I completely agree! It's wonderful. Like the difference between the true duet of Scarborough Fair and the nonsense one.
USER [A: 343], It's funny. In order to save the world rationalists finetune the human priors out of themselves, humans are dreamers not max

neubig

# NOTE:
# You can find an updated, more robust and feature-rich implementation
# in Zeno Build
# - Zeno Build: https://github.com/zeno-ml/zeno-build/
# - Implementation: https://github.com/zeno-ml/zeno-build/blob/main/zeno_build/models/providers/openai_utils.py

import openai
import asyncio
from typing import Any