text: import tensorflow as tf
  
  from unittest import TestCase
  
  from pose_format.pose_test import _get_random_pose_object_with_tf_posebody
  
  
  class TestPose(TestCase):
  
      def test_pose_tf_posebody_normalize_graph_mode_does_not_fail(self):
  
          with tf.Graph().as_default():
  
              assert tf.executing_eagerly() is False
  
              pose = _get_random_pose_object_with_tf_posebody(num_keypoints=5)
  
              # in the mock data header components are named 0, 1, and so on
              # individual points are named 0_a, 0_b, and so on
              pose.normalize(pose.header.normalization_info(
                  p1=("0", "0_a"),
                  p2=("0", "0_b")
              ))
  
      def test_pose_tf_posebody_frame_dropout_uniform_graph_mode_does_not_fail(self):
  
          with tf.Graph().as_default():
  
              assert tf.executing_eagerly() is False
  
              pose = _get_random_pose_object_with_tf_posebody(num_keypoints=5)
              pose.frame_dropout_uniform()
  
      def test_pose_tf_posebody_frame_dropout_normal_graph_mode_does_not_fail(self):
  
          with tf.Graph().as_default():
  
              assert tf.executing_eagerly() is False
  
              pose = _get_random_pose_object_with_tf_posebody(num_keypoints=5)
              pose.frame_dropout_normal()
  