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How to use dataclass_transform method in hypothesis

Best Python code snippet using hypothesis

brain_dataclasses.py

Source:brain_dataclasses.py

...15            decorator_attribute = decorator_attribute.func16        if decorator_attribute.as_string() in decorator_names:17            return True18    return False19def dataclass_transform(node):20    """Rewrite a dataclass to be easily understood by pylint"""21    for assign_node in node.body:22        if not isinstance(assign_node, (astroid.AnnAssign, astroid.Assign)):23            continue24        targets = (25            assign_node.targets26            if hasattr(assign_node, "targets")27            else [assign_node.target]28        )29        for target in targets:30            rhs_node = astroid.Unknown(31                lineno=assign_node.lineno,32                col_offset=assign_node.col_offset,33                parent=assign_node,...

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