用于为在线法官创建测试用例的测试用例生成器。
testcase-generator的Python项目详细描述
测试用例生成器
一个测试用例生成器，用于轻松地为在线法官创建测试用例。
安装
$ pip install testcase-generator
或者，克隆这个存储库！
用法
fromtestcase_generatorimportConstraint,Case,Batch,Generator,ConstraintParserdefset_constraints(self):## Write main constraints here ### Sets the constraint of N to be between 1 and 10^3 inclusive.self.N=Constraint(1,10**3)defgenerate_input(self):## Write generator here ### Generates a value for Nyieldself.N.nextCase.SET_CONSTRAINTS=set_constraintsCase.SET_INPUT=generate_input# Using the yaml config to create the batches:config_yaml="""- batch: 1 constraints: {N: 1~10**2} cases: - {N: MIN} - {N: MAX} - {N: 2~10} - {N: 10**2-1~}- batch: 2 constraints: {} cases: - {} - {N: ~2}"""p=ConstraintParser(data=config_yaml)p.parse()batches=p.batches# creating the batches manuallybatches=[Batch(num=1,cases=[Case()foriinrange(4)]),Batch(num=2,cases=[Case(N=Constraint(1,10))foriinrange(2)]),]Generator(batches=batches,exe='COMMAND_TO_GENERATE_OUTPUT').start()
生成器具有一个GraphGenerator，它生成多种图形类型：
fromtestcase_generatorimportConstraint,Case,Batch,Generator,ConstraintParser,GraphGenerator""" | initialize(self, N, graph_type, *args, **kwargs) | N: number of nodes | graph_type: | 1: normal graph | 2: connected graph | 3: complete graph | 4: circle | 10: line | 11: normal tree | 12: tree, all nodes connected to one node | 13: caterpillar tree | 14: binary tree | kwargs: | M: number of edges, leave blank if it is a tree | duplicates: allow for duplicate edges between nodes | self_loops: allow for edges between the same node"""defset_constraints(self):## Write main constraints here ### Sets the constraint of N to be between 1 and 10^3 inclusive.# In this case, this is a graph with N nodes.self.N=Constraint(1,10**3)# creates the graph generatorself.ee=GraphGenerator()# Creates the variable that returns the next edge in the graph.# The 1s are filler values.self.E=Constraint(1,1,self.ee.next_edge)# Sets the graph type to be some graph type between 10 and 14.# Please read the initialize method doc for details.# In this case, the graph type is some form of a tree.self.graph_type=Constraint(10,14)defgenerate_input(self):## Write generator here ##n=self.N.nextyieldnself.ee.initialize(n,self.graph_type.next)foriinrange(n-1):yieldself.E.nextCase.SET_CONSTRAINTS=set_constraintsCase.SET_INPUT=generate_input# Using the yaml config to create the batches:config_yaml="""- batch: 1 constraints: {N: 1~10**3-1} cases: - {} - {} - {} - {} - {} - {}"""p=ConstraintParser(data=config_yaml)p.parse()batches=p.batchesGenerator(batches=batches,exe='COMMAND_TO_GENERATE_OUTPUT').start()
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