How to use test_func2 method in pandera

Best Python code snippet using pandera_python

test_shape_convert.py

Source:test_shape_convert.py Github

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...11 return x12 x = torch.rand(*shape_nchw)13 output = nchw2nlc2nchw(test_func, x)14 assert output.shape == torch.Size(shape_nchw)15 def test_func2(x, arg):16 assert x.shape == torch.Size(shape_nlc)17 assert arg == 10018 return x19 x = torch.rand(*shape_nchw)20 output = nchw2nlc2nchw(test_func2, x, arg=100)21 assert output.shape == torch.Size(shape_nchw)22 def test_func3(x):23 assert x.is_contiguous()24 assert x.shape == torch.Size(shape_nlc)25 return x26 x = torch.rand(*shape_nchw)27 output = nchw2nlc2nchw(test_func3, x, contiguous=True)28 assert output.shape == torch.Size(shape_nchw)29 assert output.is_contiguous()30def test_nlc2nchw2nlc():31 # Test nlc2nchw2nlc function32 shape_nchw = (4, 2, 5, 5)33 shape_nlc = (4, 25, 2)34 def test_func(x):35 assert x.shape == torch.Size(shape_nchw)36 return x37 x = torch.rand(*shape_nlc)38 output = nlc2nchw2nlc(test_func, x, shape_nchw[2:])39 assert output.shape == torch.Size(shape_nlc)40 def test_func2(x, arg):41 assert x.shape == torch.Size(shape_nchw)42 assert arg == 10043 return x44 x = torch.rand(*shape_nlc)45 output = nlc2nchw2nlc(test_func2, x, shape_nchw[2:], arg=100)46 assert output.shape == torch.Size(shape_nlc)47 def test_func3(x):48 assert x.is_contiguous()49 assert x.shape == torch.Size(shape_nchw)50 return x51 x = torch.rand(*shape_nlc)52 output = nlc2nchw2nlc(test_func3, x, shape_nchw[2:], contiguous=True)53 assert output.shape == torch.Size(shape_nlc)54 assert output.is_contiguous()...

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test_command.py

Source:test_command.py Github

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1# This file is part of the GOsa framework.2#3# http://gosa-project.org4#5# Copyright:6# (C) 2016 GONICUS GmbH, Germany, http://www.gonicus.de7#8# See the LICENSE file in the project's top-level directory for details.9import pytest10from unittest import TestCase, mock11from gosa.client.command import *12from gosa.common.components import Command13class TestModule(object):14 @Command()15 def test_func1(self, param):16 """ Documentation """17 return True18class TestModule2(object):19 @Command()20 def undocumented_func(self):21 return True22class ClientCommandTestCase(TestCase):23 def test_undocumented(self):24 with mock.patch.dict("gosa.client.command.PluginRegistry.modules", {'TestModule2': TestModule2}),\25 pytest.raises(Exception):26 ClientCommandRegistry()27 def test_commands(self):28 reg = PluginRegistry.getInstance("ClientCommandRegistry")29 with mock.patch("gosa.client.command.PluginRegistry.modules", new_callable=mock.PropertyMock, return_value={'TestModule':30 TestModule}):31 reg.register('test_func1', 'TestModule.test_func1', [], 'signature1', 'documentation1')32 reg.register('test_func2', 'TestModule.test_func2', [], 'signature2', 'documentation2')33 res = reg.getMethods()34 assert 'test_func1' in res35 assert 'test_func2' in res36 reg.unregister('test_func2')37 assert 'test_func1' in res38 assert 'test_func2' not in res39 with pytest.raises(CommandInvalid):40 reg.dispatch('test_func2')41 with mock.patch("gosa.client.command.PluginRegistry.modules", new_callable=mock.PropertyMock, return_value={'TestModule': TestModule()}):...

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minList.py

Source:minList.py Github

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...19 else:20 tmp+=new_list[i]21 end +=122 return new_list[:start],new_list[start:end+1],new_list[end+1:]23def test_func2(num_list):24 '''25 求数组中最大子序列的乘积,子序列必须连续26 '''27 l=len(num_list)28 left = 029 hasNone = 030 flag = 031 flag_left = 032 for i in range(l):33 if num_list[i]<0:34 hasNone = 135 if flag==0:36 left = i37 flag = 138 right = i39 if hasNone==0:40 return num_list,[],[]41 else:42 if left==right:43 return num_list[:left],num_list[left:left+1],num_list[left+1:]44 else:45 new_list = num_list[left:right+1]46 L,M,R = findClear(new_list)47 L = num_list[:left]+L48 R = R+num_list[right+1:]49 return L,M,R50print(test_func2(s0))51print(test_func2(s1))52print(test_func2(s2))...

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