55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
from abc import ABCMeta, abstractmethod
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class AbstractProblem(metaclass=ABCMeta):
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@property
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def input_variables(self):
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variables = []
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if hasattr(self, 'spatial_variables'):
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variables += self.spatial_variables
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if hasattr(self, 'temporal_variable'):
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variables += self.temporal_variable
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if hasattr(self, 'parameters'):
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variables += self.parameters
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if hasattr(self, 'custom_variables'):
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variables += self.custom_variables
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return variables
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@property
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def domain(self):
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domains = [
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getattr(self, f'{t}_domain')
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for t in ['spatial', 'temporal', 'parameter']
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if hasattr(self, f'{t}_domain')
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]
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if len(domains) == 1:
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return domains[0]
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elif len(domains) == 0:
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raise RuntimeError
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if len(set(map(type, domains))) == 1:
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domain = domains[0].__class__({})
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[domain.update(d) for d in domains]
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return domain
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else:
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raise RuntimeError('different domains')
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@input_variables.setter
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def input_variables(self, variables):
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raise RuntimeError
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@property
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@abstractmethod
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def output_variables(self):
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pass
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@property
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@abstractmethod
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def conditions(self):
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pass
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