<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet"
        integrity="sha384-GLhlTQ8iRABdZLl6O3oVMWSktQOp6b7In1Zl3/Jr59b6EGGoI1aFkw7cmDA6j6gD" crossorigin="anonymous">
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.3.0/css/all.min.css"
        integrity="sha512-SzlrxWUlpfuzQ+pcUCosxcglQRNAq/DZjVsC0lE40xsADsfeQoEypE+enwcOiGjk/bSuGGKHEyjSoQ1zVisanQ=="
        crossorigin="anonymous" referrerpolicy="no-referrer" />
</head>
</html>
import numpy as np
from numpy._typing import ArrayLike


class A:
    pass


x1: ArrayLike = (i for i in range(10))  # E: Incompatible types in assignment
x2: ArrayLike = A()  # E: Incompatible types in assignment
x3: ArrayLike = {1: "foo", 2: "bar"}  # E: Incompatible types in assignment

scalar = np.int64(1)
scalar.__array__(dtype=np.float64)  # E: No overload variant
array = np.array([1])
array.__array__(dtype=np.float64)  # E: No overload variant
