# -*- coding: utf-8 -*-
"""Implementation of basic instance factory which creates just instances based on standard KG triples."""
from dataclasses import dataclass
from typing import Mapping
import numpy as np
import torch
from torch.utils import data
from ..typing import EntityMapping, MappedTriples, RelationMapping
__all__ = [
'Instances',
'SLCWAInstances',
'LCWAInstances',
'MultimodalInstances',
'MultimodalSLCWAInstances',
'MultimodalLCWAInstances',
]
[docs]@dataclass
class Instances(data.Dataset):
"""Triples and mappings to their indices."""
mapped_triples: MappedTriples
entity_to_id: EntityMapping
relation_to_id: RelationMapping
@property
def num_instances(self) -> int: # noqa: D401
"""The number of instances."""
return self.mapped_triples.shape[0]
@property
def num_entities(self) -> int: # noqa: D401
"""The number of entities."""
return len(self.entity_to_id)
def __len__(self): # noqa: D105
return self.num_instances
[docs]@dataclass
class SLCWAInstances(Instances):
"""Triples and mappings to their indices for sLCWA."""
def __getitem__(self, item): # noqa: D105
return self.mapped_triples[item]
[docs]@dataclass
class LCWAInstances(Instances):
"""Triples and mappings to their indices for LCWA."""
labels: np.ndarray
def __getitem__(self, item): # noqa: D105
# Create dense target
batch_labels_full = torch.zeros(self.num_entities)
batch_labels_full[self.labels[item]] = 1
return self.mapped_triples[item], batch_labels_full
[docs]@dataclass
class MultimodalInstances(Instances):
"""Triples and mappings to their indices as well as multimodal data."""
numeric_literals: Mapping[str, np.ndarray]
literals_to_id: Mapping[str, int]
[docs]@dataclass
class MultimodalSLCWAInstances(SLCWAInstances, MultimodalInstances):
"""Triples and mappings to their indices as well as multimodal data for sLCWA."""
[docs]@dataclass
class MultimodalLCWAInstances(LCWAInstances, MultimodalInstances):
"""Triples and mappings to their indices as well as multimodal data for LCWA."""