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@@ -175,7 +175,7 @@ class PinaDataset(Dataset, ABC):
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Return data from the dataset given a list of indices.
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:param idx: List of indices.
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:type idx: list
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:type idx: list[int]
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:return: A dictionary containing the data at the given indices.
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:rtype: dict
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"""
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@@ -216,7 +216,7 @@ class PinaTensorDataset(PinaDataset):
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:param data: Dictionary containing the data
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(only torch.Tensor/LableTensor).
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:type data: dict
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:param list(int) idx_list: indices to retrieve.
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:param list[int] idx_list: indices to retrieve.
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:return: Dictionary containing the data at the given indices.
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:rtype: dict
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"""
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@@ -246,7 +246,7 @@ class PinaGraphDataset(PinaDataset):
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:class:`torch_geometric.data.Data` objects.
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:param data: List of items to collate in a single batch.
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:type data: list(torch_geometric.data.Data) | list(Graph)
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:type data: list[torch_geometric.data.Data] | list[Graph]
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:return: LabelBatch object all the graph collated in a single batch
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disconnected graphs.
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:rtype: LabelBatch
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@@ -256,7 +256,8 @@ class PinaGraphDataset(PinaDataset):
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def _create_tensor_batch(self, data):
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"""
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Create a torch.Tensor object from a list of torch.Tensor objects.
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Reshape properly ``data`` tensor to be processed handle by the graph
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based models.
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:param data: torch.Tensor object of shape (N, ...) where N is the
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number of data points.
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@@ -273,7 +274,7 @@ class PinaGraphDataset(PinaDataset):
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objects.
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:param data: List of items to collate in a single batch.
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:type data: list
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:type data: list[torch_geometric.data.Data] | list[Graph]
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:return: Batch object.
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:rtype: Batch | PinaBatch
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"""
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@@ -288,7 +289,7 @@ class PinaGraphDataset(PinaDataset):
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Retrieve data from the dataset given a list of indices.
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:param dict data: Dictionary containing the data.
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:param list idx_list: List of indices to retrieve.
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:param list[int] idx_list: List of indices to retrieve.
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:return: Dictionary containing the data at the given indices.
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:rtype: dict
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"""
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