code: def test_histogram():
      hist_dist = Histogram(
          histogram=np.histogram(
              norm.rvs(size=1000, loc=0, scale=1.5, random_state=123),
              bins=10,
          ),
          null_default_value=0.0,
      )
  
      _test_histogram(hist_dist)
  
imports: import math
  import os
  from collections import Counter
  import joblib
  import numpy
  import pytest
  from neuraxle.base import Identity
  from neuraxle.hyperparams.distributions import Choice, LogNormal, LogUniform, Normal, PriorityChoice, RandInt, Uniform, get_index_in_list_with_bool
  from neuraxle.hyperparams.scipy_distributions import Gaussian, Histogram, Poisson, ScipyContinuousDistributionWrapper, ScipyDiscreteDistributionWrapper, ScipyLogUniform, StdMeanLogNormal
  from neuraxle.hyperparams.space import HyperparameterSpace
  from scipy.stats import gamma, norm, randint, uniform
label_desc: Use image node_id 3 for calling a global function with example usage: test_histogram() without return types