code: def test_scalar_coercion(self, scalar):
      # This tests various scalar coercion paths, mainly for the numerical
      # types. It includes some paths not directly related to `np.array`.
      if isinstance(scalar, np.inexact):
          # Ensure we have a full-precision number if available
          scalar = type(scalar)((scalar * 2) ** 0.5)
  
      if type(scalar) is rational:
          # Rational generally fails due to a missing cast. In the future
          # object casts should automatically be defined based on `setitem`.
          pytest.xfail(
              "Rational to object cast is undefined currently."
          )
  
      # Use casting from object:
      arr = np.array(scalar, dtype=object).astype(scalar.dtype)
  
      # Test various ways to create an array containing this scalar:
      arr1 = np.array(scalar).reshape(1)
      arr2 = np.array([scalar])
      arr3 = np.empty(1, dtype=scalar.dtype)
      arr3[0] = scalar
      arr4 = np.empty(1, dtype=scalar.dtype)
      arr4[:] = [scalar]
      # All of these methods should yield the same results
      assert_array_equal(arr, arr1)
      assert_array_equal(arr, arr2)
      assert_array_equal(arr, arr3)
      assert_array_equal(arr, arr4)
  
imports: from itertools import permutations, product
  import pytest
  from pytest import param
  import numpy
  import numpy._core._multiarray_umath
  from numpy._core._rational_tests import rational
  from numpy.testing import assert_array_equal, assert_warns, IS_PYPY
label_desc: Use image node_id 7 for calling the TestScalarDiscovery obj's underlying member method code with example usage: obj.test_scalar_coercion(scalar) without return types