yongkangc

import uuid
import hashlib

def hashText(secret, uri):
    """
    Basic hashing function for a text using unique secret from the user.  
    """
    return hashlib.sha256(secret.encode() + text.encode()).hexdigest() + ':' + secret
    
def matchHashedText(hashedUri, Uri):

yongkangc

//SPDX-License-Identifier: Unlicense
pragma solidity ^0.8.4;

import "hardhat/console.sol";
import "@openzeppelin/contracts/token/ERC20/IERC20.sol";
import "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol";
import "@openzeppelin/contracts/access/Ownable.sol";
import "./RewardToken.sol";

contract StakingManager is Ownable{

yongkangc

#importing the required packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import statsmodels.api as sm

def normalize_z(dfin):
    dfout = (dfin - dfin.mean(axis=0))/dfin.std(axis=0)
    return dfout

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#confusionmatrix
from sklearn.metrics import confusion_matrix
import numpy as np

def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14, normalize=False):
  
    if normalize:
        confusion_matrix = confusion_matrix.astype('float') / confusion_matrix.sum(axis=1)[:, np.newaxis]
        fmt = '.2f'
        title = 'Normalized Confusion Matrix'

yongkangc

Pipenv Cheat Sheet

Install pipenv

pip3 install pipenv

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pipenv shell