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from coalib.bears.Bear import Bear |
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from coalib.bears.BEAR_KIND import BEAR_KIND |
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from coalib.settings.FunctionMetadata import FunctionMetadata |
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View Code Duplication |
class ProjectWideBear(Bear): |
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""" |
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A ProjectWideBear is a Bear that analyzes all files at once. This has the |
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advantage of drawing advanced semantic analysis that give results that are |
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applicable to the whole codebase. |
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""" |
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def __init__(self, |
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file_set, # A set of file_proxies |
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section, |
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message_queue, |
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timeout=0): |
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Bear.__init__(self, section, message_queue, timeout) |
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self.file_set = file_set |
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self.kwargs = self.get_metadata().create_params_from_section(section) |
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@staticmethod |
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def kind(): |
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return BEAR_KIND.PROJECTWIDE |
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def execute_task(self, task, kwargs): |
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""" |
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This method is responsible for getting results from the |
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analysis routines. |
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""" |
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return list(self.analyze(task, **kwargs)) |
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def analyze(self, |
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file_set, |
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*args, |
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dependency_results=None, |
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**kwargs): |
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""" |
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Handles the given file. |
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:param file_set: A set of FileProxy objects. |
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:return: A list of Result |
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""" |
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raise NotImplementedError("This function has to be implemented for a " |
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"runnable bear.") |
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def generate_tasks(self): |
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""" |
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This method is responsible for providing the files and arguments for |
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the tasks the bear needs to perform. |
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""" |
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return [self.file_set, self.kwargs] |
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@classmethod |
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def get_metadata(cls): |
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return FunctionMetadata.from_function( |
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cls.run, |
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omit={"self", "file_proxy", "dependency_results"}) |
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coala-analyzer /
coala
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