from .base_options import BaseOptions
import random

class TestOptions(BaseOptions):
    def initialize(self):
        BaseOptions.initialize(self)
        self.parser.add_argument('--start_img', type=str, default="test.jpg", help='starting image for recursive generation')
        self.parser.add_argument('--experiment', type=str, default="exp_{:06d}".format(random.randint(1,1000001)), help='experiment name (name of directory)')
        self.parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
        self.parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
        self.parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
        self.parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
        self.parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
        self.parser.add_argument('--how_many', type=int, default=50, help='how many test images to run')
        # self.parser.add_argument('--movie-output', type=str, default='video.mp4', help='filename of movie to export')
        self.isTrain = False