code: def test_simple(self):
      n = 100
      v = np.random.rand(n)
      (a, b) = histogram(v)
      # check if the sum of the bins equals the number of samples
      assert_equal(np.sum(a, axis=0), n)
      # check that the bin counts are evenly spaced when the data is from
      # a linear function
      (a, b) = histogram(np.linspace(0, 10, 100))
      assert_array_equal(a, 10)
  
imports: import numpy
  from numpy.lib.histograms import histogram, histogramdd, histogram_bin_edges
  from numpy.testing import assert_, assert_equal, assert_array_equal, assert_almost_equal, assert_array_almost_equal, assert_raises, assert_allclose, assert_array_max_ulp, assert_raises_regex, suppress_warnings
  from numpy.testing._private.utils import requires_memory
  import pytest
label_desc: Use image node_id 3 for calling the TestHistogram obj's underlying member method code with example usage: obj.test_simple() without return types