code: def testNonStrictTurnsOffAllChecks(self):
      # Make totally invalid input.
      with self.cached_session():
          alpha = [[-1.0, 2]]  # alpha should be positive.
          counts = [
              [1.0, 0],
              [0.0, -1],
          ]  # counts should be non-negative.
          n = [
              -5.3
          ]  # n should be a non negative integer equal to counts.sum.
          dist = ds.DirichletMultinomial(n, alpha, validate_args=False)
          dist.prob(counts).eval()
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import dirichlet_multinomial
  from tensorflow.python.platform import test
label_desc: Use image node_id 24 for calling the DirichletMultinomialTest obj's underlying member method code with example usage: obj.testNonStrictTurnsOffAllChecks() without return types