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_conversion_voice_resolution.py

@@ -1,52 +1,52 @@
-from types import SimpleNamespace
-from typing import cast
-
-from abogen.tts_plugin.utils import get_voices
-from abogen.webui.conversion_runner import (
-    _chapter_voice_spec,
-    _chunk_voice_spec,
-    _collect_required_voice_ids,
-)
-from abogen.webui.service import Job
-
-
-def _sample_job(formula: str) -> Job:
-    return cast(
-        Job,
-        SimpleNamespace(
-            voice="__custom_mix",
-            speakers={
-                "narrator": {
-                    "resolved_voice": formula,
-                }
-            },
-            chapters=[],
-            chunks=[{}],
-        ),
-    )
-
-
-def test_chapter_voice_spec_uses_resolved_formula():
-    formula = "af_nova*0.7+am_liam*0.3"
-    job = _sample_job(formula)
-
-    assert _chapter_voice_spec(job, None) == formula
-
-
-def test_chunk_voice_fallback_uses_resolved_formula():
-    formula = "af_nova*0.7+am_liam*0.3"
-    job = _sample_job(formula)
-
-    result = _chunk_voice_spec(job, {}, "")
-
-    assert result == formula
-
-
-def test_voice_collection_includes_formula_components():
-    formula = "af_nova*0.7+am_liam*0.3"
-    job = _sample_job(formula)
-
-    voices = _collect_required_voice_ids(job)
-
-    assert {"af_nova", "am_liam"}.issubset(voices)
-    assert voices.issuperset(get_voices("kokoro"))
+from types import SimpleNamespace
+from typing import cast
+
+from abogen.tts_plugin.utils import get_voices
+from abogen.webui.conversion_runner import (
+    _chapter_voice_spec,
+    _chunk_voice_spec,
+    _collect_required_voice_ids,
+)
+from abogen.webui.service import Job
+
+
+def _sample_job(formula: str) -> Job:
+    return cast(
+        Job,
+        SimpleNamespace(
+            voice="__custom_mix",
+            speakers={
+                "narrator": {
+                    "resolved_voice": formula,
+                }
+            },
+            chapters=[],
+            chunks=[{}],
+        ),
+    )
+
+
+def test_chapter_voice_spec_uses_resolved_formula():
+    formula = "af_nova*0.7+am_liam*0.3"
+    job = _sample_job(formula)
+
+    assert _chapter_voice_spec(job, None) == formula
+
+
+def test_chunk_voice_fallback_uses_resolved_formula():
+    formula = "af_nova*0.7+am_liam*0.3"
+    job = _sample_job(formula)
+
+    result = _chunk_voice_spec(job, {}, "")
+
+    assert result == formula
+
+
+def test_voice_collection_includes_formula_components():
+    formula = "af_nova*0.7+am_liam*0.3"
+    job = _sample_job(formula)
+
+    voices = _collect_required_voice_ids(job)
+
+    assert {"af_nova", "am_liam"}.issubset(voices)
+    assert voices.issuperset(get_voices("kokoro"))