TheHumanistX

#!/usr/bin/env python3
#
# ldjson_to_csv.py
#
# Author: Werner Robitza
#
# Convert .ldjson files to CSV.
# This assumes the same keys being used in every line of the input file.
# It works on a line-by-line basis, so it should be fast and memory-efficient.

TheHumanistX

################################################################
# The hope is that this script can help you work with JSON-LD  #
# files (*.ldjson) so that you can move them into Pandas       #
# DataFrames.                                                  #
# Email: [email protected]                                 #
# Discord: tirwander#1570                                      #
# Twitter: @tirwander                                          #
# Crypto: brianfh.eth                                          #
################################################################

TheHumanistX

// SPDX-License-Identifier: GPL-3.0

pragma solidity >=0.4.22 <0.9.0;

library TestsAccounts {
    function getAccount(uint index) pure public returns (address) {
        address[15] memory accounts;
		accounts[0] = 0x5B38Da6a701c568545dCfcB03FcB875f56beddC4;

		accounts[1] = 0xAb8483F64d9C6d1EcF9b849Ae677dD3315835cb2;

TheHumanistX

import React from 'react';
import { Box } from '@mui/material';


const CardContainer = ({ children }) => {
 
  return (
    <Box
      width="31vw"
      height="100%"

TheHumanistX

import React, { createContext, useContext, useEffect, useState } from 'react';
import { ethers } from 'ethers';
import abi from '../abi/abi.json';

const EthersContext = createContext();

export const EthersProvider = ({ children, setIsLoading  }) => {

    const [provider, setProvider] = useState(null);
    const [signer, setSigner] = useState(null);

TheHumanistX

# Write your solution here
def add_student(students: dict, student_name: str):
    students[student_name] = []


def grade_average(courses: list):
    sum = 0
    for course in courses:
        sum += course[1]
    grades_average = sum / len(courses)