Doc conditions
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@@ -22,15 +22,18 @@ class InputEquationCondition(ConditionInterface):
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def __new__(cls, input, equation):
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"""
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Instanciate the correct subclass of InputEquationCondition by checking
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the type of the input data (only `input`).
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Instantiate the appropriate subclass of InputEquationCondition based on
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the type of input data.
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:param input: torch.Tensor or Graph/Data object containing the input
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:type input: torch.Tensor or Graph or Data
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:param input: Input data. It can be a LabelTensor or a Graph object.
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:type input: LabelTensor | Graph
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:param EquationInterface equation: Equation object containing the
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equation function
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:return: InputEquationCondition subclass
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:rtype: InputTensorEquationCondition or InputGraphEquationCondition
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equation function.
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:return: Subclass of InputEquationCondition, based on the input type.
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:rtype: InputTensorEquationCondition | InputGraphEquationCondition
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:raises ValueError: If input is not of type :class:`torch.Tensor`,
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:class:`LabelTensor`, :class:`Graph`, or :class:`Data`.
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"""
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# If the class is already a subclass, return the instance
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@@ -56,11 +59,18 @@ class InputEquationCondition(ConditionInterface):
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"""
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Initialize the InputEquationCondition by storing the input and equation.
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:param input: torch.Tensor or Graph/Data object containing the input
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:type input: torch.Tensor or Graph or Data
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:param input: torch.Tensor or Graph/Data object containing the input.
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:type input: torch.Tensor | Graph
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:param EquationInterface equation: Equation object containing the
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equation function
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equation function.
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.. note::
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If ``input`` is composed by a list of :class:`Graph`/:class:`Data`
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objects, all elements must have the same structure (keys and data
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types). Moreover, at least one attribute must be a
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:class:`LabelTensor`.
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"""
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super().__init__()
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self.input = input
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self.equation = equation
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@@ -90,11 +100,15 @@ class InputGraphEquationCondition(InputEquationCondition):
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@staticmethod
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def _check_label_tensor(input):
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"""
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Check if the input is a LabelTensor.
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Check if at least one LabelTensor is present in the Graph object.
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:param input: input data
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:param input: Input data.
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:type input: torch.Tensor or Graph or Data
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:raises ValueError: If the input data object does not contain at least
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one LabelTensor.
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"""
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# Store the fist element of the list/tuple if input is a list/tuple
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# it is anougth to check the first element because all elements must
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# have the same type and structure (already checked)
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