chore: normalize line endings to LF, add .gitattributes

- Add .gitattributes with text=auto eol=lf for all text files
- Renormalize all files in index to LF line endings
- Fixes massive whitespace-only diffs between main and feature branch

tests/test_voice_cache.py

@@ -1,69 +1,69 @@
-from types import SimpleNamespace
-from typing import cast
-
-import pytest
-
-from abogen.tts_plugin.utils import get_voices
-from abogen.voice_cache import (
-    LocalEntryNotFoundError,
-    _CACHED_VOICES,
-    ensure_voice_assets,
-)
-from abogen.webui.conversion_runner import _collect_required_voice_ids
-from abogen.webui.service import Job
-
-
-@pytest.fixture(autouse=True)
-def clear_voice_cache():
-    _CACHED_VOICES.clear()
-    yield
-    _CACHED_VOICES.clear()
-
-
-def test_ensure_voice_assets_downloads_missing(monkeypatch):
-    recorded = []
-
-    cached = set()
-
-    def fake_download(**kwargs):
-        filename = kwargs["filename"]
-        if kwargs.get("local_files_only"):
-            if filename in cached:
-                return f"/tmp/{filename}"
-            raise LocalEntryNotFoundError(f"{filename} missing")
-
-        recorded.append(filename)
-        cached.add(filename)
-        return f"/tmp/{filename}"
-
-    monkeypatch.setattr("abogen.voice_cache.hf_hub_download", fake_download)
-
-    downloaded, errors = ensure_voice_assets(["af_nova", "am_liam"])
-
-    assert downloaded == {"af_nova", "am_liam"}
-    assert errors == {}
-    assert set(recorded) == {"voices/af_nova.pt", "voices/am_liam.pt"}
-
-    recorded.clear()
-    downloaded_again, errors_again = ensure_voice_assets(["af_nova"])
-
-    assert downloaded_again == set()
-    assert errors_again == {}
-    assert recorded == []
-
-
-def test_collect_required_voice_ids_includes_all():
-    job = SimpleNamespace(
-        voice="af_nova",
-        chapters=[{"voice_formula": "af_nova*0.7+am_liam*0.3"}],
-        chunks=[{"voice": "am_michael"}],
-        speakers={
-            "hero": {"voice_formula": "af_nova*0.6+am_liam*0.4"},
-            "narrator": {"voice": "af_nova"},
-        },
-    )
-
-    voices = _collect_required_voice_ids(cast(Job, job))
-
-    assert {"af_nova", "am_liam", "am_michael"}.issubset(voices)
-    assert voices.issuperset(get_voices("kokoro"))
+from types import SimpleNamespace
+from typing import cast
+
+import pytest
+
+from abogen.tts_plugin.utils import get_voices
+from abogen.voice_cache import (
+    LocalEntryNotFoundError,
+    _CACHED_VOICES,
+    ensure_voice_assets,
+)
+from abogen.webui.conversion_runner import _collect_required_voice_ids
+from abogen.webui.service import Job
+
+
+@pytest.fixture(autouse=True)
+def clear_voice_cache():
+    _CACHED_VOICES.clear()
+    yield
+    _CACHED_VOICES.clear()
+
+
+def test_ensure_voice_assets_downloads_missing(monkeypatch):
+    recorded = []
+
+    cached = set()
+
+    def fake_download(**kwargs):
+        filename = kwargs["filename"]
+        if kwargs.get("local_files_only"):
+            if filename in cached:
+                return f"/tmp/{filename}"
+            raise LocalEntryNotFoundError(f"{filename} missing")
+
+        recorded.append(filename)
+        cached.add(filename)
+        return f"/tmp/{filename}"
+
+    monkeypatch.setattr("abogen.voice_cache.hf_hub_download", fake_download)
+
+    downloaded, errors = ensure_voice_assets(["af_nova", "am_liam"])
+
+    assert downloaded == {"af_nova", "am_liam"}
+    assert errors == {}
+    assert set(recorded) == {"voices/af_nova.pt", "voices/am_liam.pt"}
+
+    recorded.clear()
+    downloaded_again, errors_again = ensure_voice_assets(["af_nova"])
+
+    assert downloaded_again == set()
+    assert errors_again == {}
+    assert recorded == []
+
+
+def test_collect_required_voice_ids_includes_all():
+    job = SimpleNamespace(
+        voice="af_nova",
+        chapters=[{"voice_formula": "af_nova*0.7+am_liam*0.3"}],
+        chunks=[{"voice": "am_michael"}],
+        speakers={
+            "hero": {"voice_formula": "af_nova*0.6+am_liam*0.4"},
+            "narrator": {"voice": "af_nova"},
+        },
+    )
+
+    voices = _collect_required_voice_ids(cast(Job, job))
+
+    assert {"af_nova", "am_liam", "am_michael"}.issubset(voices)
+    assert voices.issuperset(get_voices("kokoro"))