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from feltlabs.model import load_model

# Load scikit-learn model
model = load_model("final-model-House Prices.json")

# Data shape must be: (number_of_samples, number_of_features)
data = [
  [1980, 2, 2, 2, 0, 0],
  [1700, 3, 2, 3, 1, 1],
  [2100, 3, 2, 3, 1, 0],

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// Empty alg file

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import http.server
from pathlib import Path

# Get root directory
ROOT = Path(__file__).parent.parent


# Class for serving build directory
class Handler(http.server.SimpleHTTPRequestHandler):
    def __init__(self, *args, **kwargs):

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on:
  workflow_dispatch:
  push:
    branches:
      - main
    paths:
      - "**.sol"

name: Deploy to testnet

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"""Module for encryption and decryption compatible with MetaMask."""
from base64 import a85decode, a85encode

# PyNaCl==1.5.0
from nacl.public import Box, PrivateKey, PublicKey


def _hex_to_bytes(hex: str) -> bytes:
    return bytes.fromhex(hex[2:] if hex[:2] == "0x" else hex)

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const ascii85 = require('ascii85');

async function decryptData(account: string, data: Buffer): Promise<Buffer> {
  // Reconstructing the original object outputed by encryption
  const structuredData = {
    version: 'x25519-xsalsa20-poly1305',
    ephemPublicKey: data.slice(0, 32).toString('base64'),
    nonce: data.slice(32, 56).toString('base64'),
    ciphertext: data.slice(56).toString('base64'),
  };