:60148168 Me: “I’ve looked at the brief and it’ll cost [total].”

Client: “I thought you were a freelancer.”

Me: “I am.”

Client: “No, you’re not. You’re a chargelancer!”

import axios from "axios";
import React, { useEffect, useState } from "react";

export default function Card() {
  const [character, setCharacter] = useState([]);

  useEffect(() => {
    axios
      .get(`rickandmortyapi.com/api/character`)
      .then((res) => {
        console.log("RESPONSEE", res);
        setCharacter(res.data);
      })
      .catch((err) => {
        console.log(err);
      });
  });

  return (
    <ol>
      {character.map((item) => (
        <li key={item.results.id}>{item.results.name}</li>

SELECT * FROM tabla1 WHERE comprobante_tipo_ ='I' order by timbre_fecha ASC

SELECT * FROM tabla1 WHERE comprobante_tipo_ ='P' AND timbre_uuid FIND_IN_SET ('".$row['timbre_uuid']."',id_documento_new)

r^3 [(569.502×〖10〗^(-6) )  (2.1224×〖10〗^(-6)) T-(513.2105×〖10〗^(-9))]+r^2 [(738.22×〖10〗^(-6))-(569.502×〖10〗^(-6) )  (2.507×〖10〗^(-3) )  T]-r (569.502×〖10〗^(-6) )  T+p=0

import numpy as np

def find_density(T, P):
  coeficientes = np.array([
    569.502E-6 * 2.1224E-6 * T - 513.2105E-9,  # r^3
    738.22E-6 - 569.502E-6 * 2.507E-3 * T,     # r^2
    -569.502E-6 * T,                           # r^1
    P                                          # r^0
  ])
  soluciones = np.roots(coeficientes)
  for s in soluciones:
    if s.imag == 0.0:
      return s.real
  return np.nan()

>>> find_density(26.75, 1.12)
1434.781697594195

coeficientes = np.array([
        569.502E-6 * 2.1224E-6 * T - 513.2105E-9,  # r^3
        738.22E-6 - 569.502E-6 * 2.507E-3 * T,     # r^2
        -569.502E-6 * T,                           # r^1
        P                                          # r^0
    ])

T 26.56
p 5.29
Result 1439.0612476376182

>>> find_density(26.56 + 273, 5.29)
32.953063721128885