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import argparse
import random
import sys

from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
import torch

parser = argparse.ArgumentParser()
parser.add_argument("question", type=str)
parser.add_argument(

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import asyncio
import base64
import json
import os
import pyaudio
from websockets.asyncio.client import connect


class SimpleGeminiVoice:
    def __init__(self):

elyase

Python Development Assistant Prompt System

Version Control

version: 1.0.0
last_updated: 2024-03-19
sections:
  - core_requirements
  - python_version
 - code_style

elyase

[package]
name = "playground"
version = "0.1.0"
edition = "2021"

[dependencies]
alloy = { git = "https://github.com/alloy-rs/alloy.git", features = ["contract", "provider-ws", "rpc-types-eth"] }
anyhow = "1.0.82"
tokio = { version = "1.37.0", features = ["full"] }
tracing = "0.1.40"

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import json

MIN_ERC20_ABI = json.loads(
    """
    [{"constant": true, "inputs": [], "name": "name", "outputs": [ { "name": "", "type": "string" } ], "payable": false, "stateMutability": "view", "type": "function" }, { "constant": false, "inputs": [ { "name": "_spender", "type": "address" }, { "name": "_value", "type": "uint256" } ], "name": "approve", "outputs": [ { "name": "", "type": "bool" } ], "payable": false, "stateMutability": "nonpayable", "type": "function" }, { "constant": true, "inputs": [], "name": "totalSupply", "outputs": [ { "name": "", "type": "uint256" } ], "payable": false, "stateMutability": "view", "type": "function" }, { "constant": false, "inputs": [ { "name": "_from", "type": "address" }, { "name": "_to", "type": "address" }, { "name": "_value", "type": "uint256" } ], "name": "transferFrom", "outputs": [ { "name": "", "type": "bool" } ], "payable": false, "stateMutability": "nonpayable", "type": "function" }, { "constant": true, "inputs": [], "name": "decimals", "outputs": [ { "name"

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#!/bin/bash
#
# convert a mysql database to sqlite3
#
#see https://stackoverflow.com/questions/5164033/
#    export-a-mysql-database-to-sqlite-database

mysql_host=localhost
mysql_user=george
#mysql_passwd=****************

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"""
preprocess-twitter.py

python preprocess-twitter.py "Some random text with #hashtags, @mentions and http://t.co/kdjfkdjf (links). :)"

Script for preprocessing tweets by Romain Paulus
with small modifications by Jeffrey Pennington
with translation to Python by Motoki Wu

Translation of Ruby script to create features for GloVe vectors for Twitter data.

elyase

function svmStruct = best_svm_classifer_rbf(cdata,labels)


%Write a function called crossfun to calculate the predicted classification yfit from a test vector 
%xtest, when the SVM is trained on a sample xtrain that has classification ytrain.

function yfit = crossfun(xtrain,ytrain,xtest, rbf_sigma, boxconstraint) 

% Train the model on xtrain, ytrain, 
% and get predictions of class of xtest and output it as yfit

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Deploy Python app using Pandas on Heroku

2012-09-08

This document explains how to deploy a Python app that uses the Pandas library on Heroku.

Heroku builds Numpy (one of Pandas' requirements) fine. However, when trying to deploy an app with both numpy and pandas in its requirements.txt file (or even just pandas), for some reason it fails