docstr: ...Test inverse of normal cumulative distribution function
          
code: def test_standard_normal_inv_cdf(self):
      """...Test inverse of normal cumulative distribution function"""
      tested_sample = uniform(size=self.size)
      actual = np.array(
          [standard_normal_inv_cdf(s) for s in tested_sample]
      )
      expected = norm.ppf(tested_sample)
      np.testing.assert_almost_equal(actual, expected, decimal=7)
  
      actual_array = np.empty(self.size)
      standard_normal_inv_cdf(tested_sample, actual_array)
      np.testing.assert_almost_equal(actual_array, expected, decimal=7)
  
file_path: tick/tick/base/tests/standard_normal_distribution_test.py
imports: import unittest
  from tick.base.build.base import standard_normal_cdf, standard_normal_inv_cdf
  from scipy.stats import norm
  import numpy
  from numpy.random import normal, uniform
label_desc: Use image node_id 3 for calling the Test obj's underlying member method code with example usage: obj.test_standard_normal_inv_cdf() without return types