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How to use is_skip method in Slash

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piglit_test_tests.py

Source:piglit_test_tests.py

...65    test = PiglitGLTest(['foo'], run_concurrent=True)66    nt.assert_in('-auto', test.command)67    nt.assert_in('-fbo', test.command)68def test_PiglitGLTest_include_and_exclude():69    """test.piglit_test.PiglitGLTest.is_skip(): raises if include and exclude are given."""70    with nt.assert_raises(AssertionError):71        PiglitGLTest(['foo'],72                     require_platforms=['glx'],73                     exclude_platforms=['gbm'])74@utils.not_raises(TestIsSkip)75def test_PiglitGLTest_platform_in_require():76    """test.piglit_test.PiglitGLTest.is_skip(): does not skip if platform is in require_platforms"""77    PiglitGLTest.OPTS.env['PIGLIT_PLATFORM'] = 'glx'78    test = PiglitGLTest(['foo'], require_platforms=['glx'])79    test.is_skip()80@nt.raises(TestIsSkip)81def test_PiglitGLTest_platform_not_in_require():82    """test.piglit_test.PiglitGLTest.is_skip(): skips if platform is not in require_platforms"""83    PiglitGLTest.OPTS.env['PIGLIT_PLATFORM'] = 'gbm'84    test = PiglitGLTest(['foo'], require_platforms=['glx'])85    test.is_skip()86@nt.raises(TestIsSkip)87def test_PiglitGLTest_platform_in_exclude():88    """test.piglit_test.PiglitGLTest.is_skip(): skips if platform is in exclude_platforms"""89    PiglitGLTest.OPTS.env['PIGLIT_PLATFORM'] = 'glx'90    test = PiglitGLTest(['foo'], exclude_platforms=['glx'])91    test.is_skip()92@utils.not_raises(TestIsSkip)93def test_PiglitGLTest_platform_not_in_exclude():94    """test.piglit_test.PiglitGLTest.is_skip(): does not skip if platform is in exclude_platforms"""95    PiglitGLTest.OPTS.env['PIGLIT_PLATFORM'] = 'gbm'96    test = PiglitGLTest(['foo'], exclude_platforms=['glx'])...

model.py

Source:model.py

1import torch2import torch.nn as nn3def default_conv(input_channels, out_channels, kernel_size, bias):4    return nn.Conv2d(5        input_channels, out_channels, kernel_size, padding=(kernel_size // 2), bias=bias6    )7class UpConv(nn.Module):8    def __init__(self):9        super(UpConv, self).__init__()10        self.body = nn.Sequential(11            default_conv(3, 12, 3, True),12            nn.PixelShuffle(2),13            nn.ReLU(inplace=True)14        )15    def forward(self, x):16        return self.body(x)17class ResidualBlock(nn.Module):18    def __init__(self, num_features):19        super(ResidualBlock, self).__init__()20        modules_body = [21            default_conv(num_features, num_features, 3, bias=True),22            nn.ReLU(inplace=True),23            default_conv(num_features, num_features, 3, bias=True)24        ]25        self.body = nn.Sequential(*modules_body)26    def forward(self, x):27        res = self.body(x)28        res += x29        return res30class SingleScaleNet(nn.Module):31    def __init__(self, num_features, num_resblocks, is_skip, num_channels=3):32        super(SingleScaleNet, self).__init__()33        self.is_skip = is_skip34        modules_head = [35            default_conv(num_channels, num_features, 5, bias=True),36            nn.ReLU(inplace=True)]37        modules_body = [38            ResidualBlock(num_features)39            for _ in range(num_resblocks)40        ]41        modules_tail = [default_conv(num_features, 3, 5, bias=True)]42        self.head = nn.Sequential(*modules_head)43        self.body = nn.Sequential(*modules_body)44        self.tail = nn.Sequential(*modules_tail)45    def forward(self, x):46        x = self.head(x)47        res = self.body(x)48        if self.is_skip:49            res += x50        res = self.tail(res)51        return res52class MultiScaleNet(nn.Module):53    def __init__(self, num_features, num_resblocks, is_skip):54        super(MultiScaleNet, self).__init__()55        self.scale3_net = SingleScaleNet(num_features, num_resblocks, is_skip, num_channels=3)56        self.upconv3 = UpConv()57        self.scale2_net = SingleScaleNet(num_features, num_resblocks, is_skip, num_channels=6)58        self.upconv2 = UpConv()59        self.scale1_net = SingleScaleNet(num_features, num_resblocks, is_skip, num_channels=6)60    def forward(self, multiscale_input):61        input_b1, input_b2, input_b3 = multiscale_input62        output_l3 = self.scale3_net(input_b3)63        output_l3_up = self.upconv3(output_l3)64        output_l2 = self.scale2_net(torch.cat((input_b2, output_l3_up), 1))65        output_l2_up = self.upconv2(output_l2)66        output_l1 = self.scale2_net(torch.cat((input_b1, output_l2_up), 1))...

roman_to_int.py

Source:roman_to_int.py

1def romanToInt(s):2        """3        :type s: str4        :rtype: int5        """6        dict = {7            'I': 1,8            'V': 5,9            'X': 10,10            'L': 50,11            'C': 100,12            'D': 500,13            'M' : 100014        }15        16        count = 017         18        for i in range(0, len(s)):19            print(i, is_skip)20            if is_skip:21                is_skip = False22                continue23            if i < len(s)-1:24                if s[i]+s[i+1] == 'IV':25                    count += 426                    is_skip = True27                    i+=128                elif s[i]+s[i+1] == 'IX':29                    count += 930                    is_skip = True31                    i+=132                elif s[i]+s[i+1] == 'XL':33                    count += 4034                    i+=135                    is_skip = True36                elif s[i]+s[i+1] == 'XC':37                    count += 9038                    i+=139                    is_skip = True40                elif s[i]+s[i+1] == 'CD':41                    count += 40042                    i+=143                    is_skip = True44                elif s[i]+s[i+1] == 'CM':45                    count += 90046                    i+=147                    is_skip = True48                elif s[i] in dict:49                    count += dict[s[i]]50                    # print(s[i],count)     51                print(i,count) 52            elif s[i] in dict:53                count += dict[s[i]]54                print(i,count) 55        return count  56print(romanToInt('CIV'))...

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