def create_random_data(num_examples):
    raw_data = []
    for _ in range(num_examples):
        feature = np.random.random([utils_test.BOARD_SIZE, utils_test.BOARD_SIZE, features.NEW_FEATURES_PLANES]).astype(np.uint8)
        pi = np.random.random([((utils_test.BOARD_SIZE * utils_test.BOARD_SIZE) + 1)]).astype(np.float32)
        value = np.random.random()
        raw_data.append((feature, pi, value))
    return raw_data
def create_random_data(num_examples):
    raw_data = []
    for _ in range(num_examples):
        feature = np.random.random([utils_test.BOARD_SIZE, utils_test.BOARD_SIZE, features.NEW_FEATURES_PLANES]).astype(np.uint8)
        pi = np.random.random([((utils_test.BOARD_SIZE * utils_test.BOARD_SIZE) + 1)]).astype(np.float32)
        value = np.random.random()
        raw_data.append((feature, pi, value))
    return raw_data