def __init__()

in policy.py [0:0]

• 21 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self, scope="running", reuse=False, epsilon=1e-2, shape=()):
        with tf.variable_scope(scope, reuse=reuse):
            self._sum = tf.get_variable(
                dtype=tf.float32,
                shape=shape,
                initializer=tf.constant_initializer(0.0),
                name="sum", trainable=False)
            self._sumsq = tf.get_variable(
                dtype=tf.float32,
                shape=shape,
                initializer=tf.constant_initializer(epsilon),
                name="sumsq", trainable=False)
            self._count = tf.get_variable(
                dtype=tf.float32,
                shape=(),
                initializer=tf.constant_initializer(epsilon),
                name="count", trainable=False)
            self.shape = shape

            self.mean = tf.to_float(self._sum / self._count)
            var_est = tf.to_float(self._sumsq / self._count) - tf.square(self.mean)
            self.std = tf.sqrt(tf.maximum(var_est, 1e-2))