Enable CPU utilization for LLMLabelGenerator

.github/workflows/documentation.yaml

@@ -23,4 +23,4 @@ jobs:
           restore-keys: |
             mkdocs-material-
       - run: pip install mkdocs-material mkdocstrings[python]
-      - run: mkdocs gh-deploy --force
+      - run: mkdocs gh-deploy --force

.github/workflows/unittests.yaml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
@@ -25,4 +25,4 @@ jobs:
           pip install -e .[test]
       - name: Test with unittest
         run: |
-          python -m unittest discover test
+          python -m unittest discover test

anonipy/anonymize/extractors/multi_extractor.py

@@ -147,20 +147,22 @@ def _filter_entities(self, entities: Iterable[Entity]) -> List[Entity]:
 
         """
 
-        get_sort_key = lambda entity: (
-            entity.end_index - entity.start_index,
-            -entity.start_index,
-        )
+        def get_sort_key(entity):
+            return (
+                entity.end_index - entity.start_index,
+                -entity.start_index,
+            )
+
         sorted_entities = sorted(entities, key=get_sort_key, reverse=True)
         result = []
         seen_tokens: Set[int] = set()
-        for entities in sorted_entities:
+        for entity in sorted_entities:
             # Check for end - 1 here because boundaries are inclusive
             if (
-                entities.start_index not in seen_tokens
-                and entities.end_index - 1 not in seen_tokens
+                entity.start_index not in seen_tokens
+                and entity.end_index - 1 not in seen_tokens
             ):
-                result.append(entities)
-                seen_tokens.update(range(entities.start_index, entities.end_index))
+                result.append(entity)
+                seen_tokens.update(range(entity.start_index, entity.end_index))
         result = sorted(result, key=lambda entity: entity.start_index)
         return result

anonipy/anonymize/extractors/ner_extractor.py

@@ -1,7 +1,7 @@
 import re
+import warnings
 import importlib
 from typing import List, Tuple
-import warnings
 
 import torch
 from spacy import displacy
@@ -52,12 +52,12 @@ class NERExtractor(ExtractorInterface):
     def __init__(
         self,
         labels: List[dict],
+        *args,
         lang: LANGUAGES = LANGUAGES.ENGLISH,
         score_th: float = 0.5,
         use_gpu: bool = False,
         gliner_model: str = "urchade/gliner_multi_pii-v1",
         spacy_style: str = "ent",
-        *args,
         **kwargs,
     ):
         """Initialize the named entity recognition (NER) extractor.

anonipy/anonymize/extractors/pattern_extractor.py

@@ -50,9 +50,9 @@ class PatternExtractor(ExtractorInterface):
     def __init__(
         self,
         labels: List[dict],
+        *args,
         lang: LANGUAGES = LANGUAGES.ENGLISH,
         spacy_style: str = "ent",
-        *args,
         **kwargs,
     ):
         """Initialize the pattern extractor.
@@ -271,12 +271,11 @@ def _get_doc_entity_spans(self, doc: Doc) -> List[Span]:
 
         if self.spacy_style == "ent":
             return doc.ents
-        elif self.spacy_style == "span":
+        if self.spacy_style == "span":
             if "sc" not in doc.spans:
                 doc.spans["sc"] = []
             return doc.spans["sc"]
-        else:
-            raise ValueError(f"Invalid spacy style: {self.spacy_style}")
+        raise ValueError(f"Invalid spacy style: {self.spacy_style}")
 
     def _set_doc_entity_spans(self, doc: Doc, entities: List[Span]) -> None:
         """Set the spacy doc entity spans.

anonipy/anonymize/generators/date_generator.py

@@ -117,7 +117,7 @@ class DateGenerator(GeneratorInterface):
 
     """
 
-    def __init__(self, date_format: str = "auto", day_sigma: int = 30, *args, **kwargs):
+    def __init__(self, *args, date_format: str = "auto", day_sigma: int = 30, **kwargs):
         """Initializes he date generator.
 
         Examples:
@@ -137,8 +137,8 @@ def __init__(self, date_format: str = "auto", day_sigma: int = 30, *args, **kwar
     def generate(
         self,
         entity: Entity,
-        sub_variant: DATE_TRANSFORM_VARIANTS = DATE_TRANSFORM_VARIANTS.RANDOM,
         *args,
+        sub_variant: DATE_TRANSFORM_VARIANTS = DATE_TRANSFORM_VARIANTS.RANDOM,
         **kwargs,
     ) -> str:
         """Generate the entity substitute based on the input parameters.