from .base_options import BaseOptions


class TestOptions(BaseOptions):
    def initialize(self, parser):
        parser = BaseOptions.initialize(self, parser)

        # '''
        #        python test.py --dataroot dataset/test_single --name apdrawinggan++_author --model test --use_resnet --netG resnet_9blocks --which_epoch 150 --how_many 1000 --gpu_ids 0 --gpu_ids_p 0 --imagefolder images-single
        #        '''
        # opt.dataroot = 'dataset/test_single'
        # opt.name = 'apdrawinggan++_author'
        # opt.model = 'test'
        # opt.use_resnet = True
        # opt.netG = 'resnet_9blocks'
        # opt.which_epoch = 150
        # opt.how_many = 1000
        # opt.gpu_ids = ''
        # opt.gpu_ids_p = ''
        # opt.imagefolder = 'images-single'

        parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
        parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
        parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
        parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
        parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
        parser.add_argument('--how_many', type=int, default=50, help='how many test images to run')
        parser.add_argument('--test_continuity_loss', action='store_true', help='get continuity value in test')
        parser.add_argument('--netG_line', type=str, default='unet_512', help='selects model to use for netG_line')
        parser.add_argument('--save2', action='store_true', help='only save real_A and fake_B')
        parser.add_argument('--imagefolder', type=str, default='images', help='subfolder to save images')
        parser.add_argument('--pretrain', action='store_true', help='pretrain stage, no dt loss, no ae')        

        parser.set_defaults(model='test')

        parser.set_defaults(dataroot='dataset/test_single')
        parser.set_defaults(name='apdrawinggan++_author')
        parser.set_defaults(use_resnet=True)
        parser.set_defaults(netG='resnet_9blocks')
        parser.set_defaults(which_epoch=150)
        parser.set_defaults(how_many=1000)
        parser.set_defaults(gpu_ids='-1')
        parser.set_defaults(gpu_ids_p='-1')
        parser.set_defaults(imagefolder='images-single')


        # To avoid cropping, the loadSize should be the same as fineSize
        parser.set_defaults(loadSize=parser.get_default('fineSize'))
        self.isTrain = False
        return parser