monapasan

import { ERC725 } from '@erc725/erc725.js';
import { Contract, toBeHex } from 'ethers';
import { ethers } from 'hardhat';
import { Environment } from '../types';
import { ENV_CONFIG } from '../constants';
import { INTERFACE_IDS } from '@lukso/lsp-smart-contracts/dist/constants.cjs.js';

import { keyManagerABI, universalProfileAbi } from '../../change-up-name/ABI';
import { schemaLSP12IssuedAssets } from '../../../src/modules/blockchain/blockchain.schemas';

monapasan

{
    "amount": 142,
    "list": [
        {
            "id": 195,
            "description": "Every K-Pop fan needs a special guardian to accompany them on their metaverse journey! Inspired by the first alien featured in the 1998 “Dreams Come True” music video by S.E.S and reimagined by aespa, each æ-pet is uniquely generated by AI algorithm., we now introduce you to the third generation... **ae-pets** \n\nEach ae-pet is uniquely generated just for you. Use them as your profile picture, play with their unique filter, and share your special powers online, these special friends are here to make your metaverse journey extra maegical (✿◠‿◠)",
            "isSoldOut": false,
            "name": "ae-pets",
            "euroPriceInCents": 2500,
            "designer": "aespa x PAPER x DMAT",

monapasan

// SPDX-License-Identifier: Apache-2.0
pragma solidity ^0.8.9;

import '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/presets/LSP7Mintable.sol';
import {LSP7CappedSupply} from '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/extensions/LSP7CappedSupply.sol';
import {LSP7DigitalAssetCore} from '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/LSP7DigitalAssetCore.sol';

struct RoyaltyInfo {
    bytes4 interfaceId;
    address recipient;

monapasan

// SPDX-License-Identifier: Apache-2.0
pragma solidity ^0.8.9;

import '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/presets/LSP7Mintable.sol';
import {LSP7CappedSupply} from '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/extensions/LSP7CappedSupply.sol';
import {LSP7DigitalAssetCore} from '@lukso/lsp-smart-contracts/contracts/LSP7DigitalAsset/LSP7DigitalAssetCore.sol';

struct RoyaltyInfo {
    bytes4 interfaceId;
    address recipient;

monapasan

async function exportContexts(savedContexts) {
  // Iterate through every user
  for (let user in savedContexts) {
    // Iterate through every context of that user
    for (let i = 0; i < savedContexts[user].length; i++) {
      let contextname = savedContexts[user][i];
      // Generate a Cypher statement to return the username, the context name and the statement text
      let statement =
        "MATCH (u:User{name:'" +
        user +

monapasan

ody-parser:json content-type "application/json" +0ms
  body-parser:json content-encoding "identity" +1ms
  body-parser:json read body +0ms
  body-parser:json parse body +11ms
  body-parser:json parse json +0ms
  express:router urlencodedParser  : /context +12ms
  body-parser:urlencoded body already parsed +1ms
  prisma:client Prisma Client call: +4s
  prisma:client prisma.context.create({
  prisma:client   data: {

monapasan

{
    "context": {
        "name": "bigdaddymax",
        "body": "Social Networks 28 (2006) 466–484\nA Graph-theoretic perspective on centrality\u0001\nStephen P. Borgatti a,∗, Martin G. Everett b,1\na Department of Organization Studies, Boston College, Chestnut Hill, MA 02467, USA b University of Westminster, 35 Marylebone Road London NW1 5LS, UK\nAbstract\nThe concept of centrality is often invoked in social network analysis, and diverse indices have been\nproposed to measure it. This paper develops a unified framework for the measurement of centrality. All\nmeasures of centrality assess a node’s involvement in the walk structure of a network. Measures vary along\nfour key dimensions: type of nodal involvement assessed, type of walk considered, property of walk assessed,\nand choice of summary measure. If we cross-classify measures by type of nodal involvement (radial versus\nmedial) and property of walk assessed (volume versus length), we obtain a four-fold polychotomization\nwith one cell empty which mir

monapasan

import React, { ReactElement } from 'react';
import classNames from 'classnames';
import style from './style.scss';

type IconName = 'check' | 'chevron-down' | 'minus';

interface IconProps {
  name: IconName;
  size?: 'small' | 'medium' | 'large';
  color?: 'negative-80' | 'neutral-50' | 'neutral-90' | 'neutral-150';

monapasan

Power BI feature - reading from the input

Why?

• User don’t have to understand the ui to use the tool
• in most of the cases it’s easier to just type text
• “Awesome” effect.
• draw bar chars that would be hard to formulate with filter tool.

What?

Based on the user's natural language input show appropriate chart. The idea is stolen from Power BI (Business intelligence tool from Microsoft).

monapasan

package list

case class Cons (val head:Int, val tail:IntList) extends IntList{
  def isEmpty=false
  
  def nth(index:Int):Int= index match{
    case 0 => head
    case i => tail.nth(i-1)
  }