use pie-documents instead of pie-modules

Author: ArneBinder

poetry.lock

@@ -18,6 +18,7 @@ dynamic = [ "classifiers" ]
 requires-python = ">=3.9,<4.0"
 dependencies = [
     "pie-core >=0.2.1, <0.4.0",
+    "pie-documents >=0.1.0, <0.2.0",
     "torch >=1.10",
     "pytorch-lightning >=2, <3",
     "torchmetrics >1, <2",

pyproject.toml

@@ -1,5 +1,5 @@
 # backward compatibility
-from pie_modules.annotations import (
+from pie_documents.annotations import (
     BinaryRelation,
     Label,
     LabeledMultiSpan,

src/pytorch_ie/annotations.py

@@ -1,5 +1,5 @@
 # backwards compatibility
-from pie_modules.documents import (
+from pie_documents.documents import (
     DocumentWithLabel,
     DocumentWithMultiLabel,
     TextBasedDocument,

src/pytorch_ie/documents.py

@@ -1,2 +1,2 @@
 # backwards compatibility
-from pie_modules.metrics import ConfusionMatrix, F1Metric, SQuADF1
+from pie_documents.metrics import ConfusionMatrix, F1Metric, SQuADF1

src/pytorch_ie/metrics/__init__.py

@@ -1,4 +1,4 @@
-from pie_modules.metrics.statistics import (
+from pie_documents.metrics.statistics import (
     DummyCollector,
     FieldLengthCollector,
     LabelCountCollector,

src/pytorch_ie/metrics/statistics/__init__.py

@@ -13,14 +13,14 @@
     Tuple,
 )
 
-# backwards compatibility imports from pie_modules.utils.span
-from pie_modules.utils.span import have_overlap as has_overlap
-from pie_modules.utils.span import is_contained_in
+# backwards compatibility imports from pie_documents.utils.span
+from pie_documents.utils.span import have_overlap as has_overlap
+from pie_documents.utils.span import is_contained_in
 from transformers import PreTrainedTokenizer
 
 from pytorch_ie.annotations import LabeledSpan, Span
 
-# TODO: most of this should be superseded by pie_modules.utils.sequence_tagging,
+# TODO: most of this should be superseded by pie_documents.utils.sequence_tagging,
 #  remove respective content
 
 TypedSpan = Tuple[int, Tuple[int, int]]