text: import sys
  sys.path.insert(1,"../../../")
  import h2o
  from tests import pyunit_utils
  
  
  
  import numpy as np
  import random
  
  def expr_reducers():
  
  
  
      data = [[random.uniform(-10000,10000) for r in range(10)] for c in range(10)]
      h2o_data_1 = h2o.H2OFrame(zip(*data))
      np_data = np.array(data)
      row, col = h2o_data_1.dim
      h2o_data = h2o_data_1 + 2
      np_data = np_data + 2
  
      def check_values(h2o_data, numpy_data):
          success = True
          for i in range(10):
              r = random.randint(0,row-1)
              c = random.randint(0,col-1)
              h2o_val = h2o_data[r,c]
              num_val = numpy_data[r,c]
              if not abs(h2o_val - num_val) < 1e-06:
                  success = False
                  print "check unsuccessful! h2o computed {0} and numpy computed {1}".format(h2o_val,num_val)
          return success
  
      h2o_val = h2o_data.min()
      num_val = np.min(np_data)
      assert abs(h2o_val - num_val) < 1e-06, \
          "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal min values between h2o and " \
          "numpy".format(h2o_val,num_val)
      h2o_val = h2o_data.max()
      num_val = np.max(np_data)
      assert abs(h2o_val - num_val) < 1e-06, \
          "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal max values between h2o and " \
          "numpy".format(h2o_val,num_val)
      h2o_val = h2o_data.sum()
      num_val = np.sum(np_data)
      assert abs(h2o_val - num_val) < 1e-06, \
          "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal sum values between h2o and " \
          "numpy".format(h2o_val,num_val)
      pyunit_utils.np_comparison_check(h2o_data.var(), np.cov(np_data, rowvar=0, ddof=1), 10), \
          "expected equal var values between h2o and numpy"
  
  
  
  if __name__ == "__main__":
      pyunit_utils.standalone_test(expr_reducers)
  else:
      expr_reducers()
  