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How to use fastcut method in autotest

Best Python code snippet using autotest_python

functools_24.py

Source:functools_24.py

...35        for f in fs:36            res = f(res)37        return res38    return composecall39def fastcut(*sargs, **skw):40    try:41        fun = sargs[0]42    except IndexError:43        raise TypeError, 'fastcut requires at least one argument'44    sargs = sargs[1:]45    def fastcutcall(*args, **kw):46        rkw = skw.copy()47        rkw.update(kw)48        return fun(*(sargs + args), **rkw)49    return fastcutcall50for x in __all__:51    globals()['py_%s' % x] = globals()[x]52del x53try:...

pretrained_launcher.py

Source:pretrained_launcher.py

1from .tmux_launcher import Options, TmuxLauncher2class Launcher(TmuxLauncher):3    def common_options(self):4        return [5            # Command 06            Options(7                # NOTE: download the resized (and compressed) val set from8                # http://efrosgans.eecs.berkeley.edu/CUT/datasets/cityscapes_val_for_CUT.tar9                dataroot="datasets/cityscapes/cityscapes_val/",10                direction="BtoA",11                phase="val",12                name="cityscapes_cut_pretrained",13                CUT_mode="CUT",14            ),15            # Command 116            Options(17                dataroot="./datasets/cityscapes_unaligned/cityscapes/",18                direction="BtoA",19                name="cityscapes_fastcut_pretrained",20                CUT_mode="FastCUT",21            ),22            # Command 223            Options(24                dataroot="./datasets/horse2zebra/",25                name="horse2zebra_cut_pretrained",26                CUT_mode="CUT"27            ),28            # Command 329            Options(30                dataroot="./datasets/horse2zebra/",31                name="horse2zebra_fastcut_pretrained",32                CUT_mode="FastCUT",33            ),34            # Command 435            Options(36                dataroot="./datasets/afhq/cat2dog/",37                name="cat2dog_cut_pretrained",38                CUT_mode="CUT"39            ),40            # Command 541            Options(42                dataroot="./datasets/afhq/cat2dog/",43                name="cat2dog_fastcut_pretrained",44                CUT_mode="FastCUT",45            ),46            47        ]48    def commands(self):49        return ["python train.py " + str(opt) for opt in self.common_options()]50    def test_commands(self):...

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