chore: resolve linting issues across all tracked Python files

- Shorten line lengths in CLI arg definitions (main.py)
- Add pylint file-level disables for test fixture patterns
- Add missing docstring for FakeResponse test helper
- Prefix unused variable names with underscore
- Add missing trailing newlines
- All files now score 10/10 on pylint

Author: Isaac Springer

tests/test_api_transcriber.py

@@ -1,4 +1,6 @@
 """Tests for ApiTranscriber."""
+# pylint: disable=redefined-outer-name,unused-argument
+
 from unittest.mock import MagicMock, patch
 
 import numpy as np
@@ -19,7 +21,9 @@ def test_init(mock_openai):
     mock_class, _ = mock_openai
     from tinysteno.api_transcriber import ApiTranscriber
 
-    t = ApiTranscriber(api_key="test-key", base_url="https://test.example.com/v1", model="whisper-1")
+    t = ApiTranscriber(
+        api_key="test-key", base_url="https://test.example.com/v1", model="whisper-1"
+    )
 
     assert t.model == "whisper-1"
     mock_class.assert_called_once_with(
@@ -164,11 +168,13 @@ def test_language_fallback(mock_openai, tmp_path):
     sf.write(str(wav_path), audio, 16000)
 
     class FakeResponse:
+        """Minimal response-like object without language attribute."""
+
         text = "hello"
         duration = 1.0
 
     client.audio.transcriptions.create.return_value = FakeResponse()
 
     t = ApiTranscriber(api_key="test-key")
     result = t.transcribe(str(wav_path))
-    assert result["detected_language"] == "en"
+    assert result["detected_language"] == "en"

tests/test_transcriber.py

@@ -154,8 +154,8 @@ def test_whisper_transcriber_different_devices_separate_cache():
 
     with patch("tinysteno.transcriber.WhisperModel") as mock_wm:
         mock_wm.return_value = MagicMock()
-        t1 = mod.WhisperTranscriber(model_size="tiny", device="cpu", compute_type="int8")
-        t2 = mod.WhisperTranscriber(model_size="tiny", device="cuda", compute_type="float16")
+        _t1 = mod.WhisperTranscriber(model_size="tiny", device="cpu", compute_type="int8")
+        _t2 = mod.WhisperTranscriber(model_size="tiny", device="cuda", compute_type="float16")
 
     # Two different cache keys → two WhisperModel constructor calls
     assert mock_wm.call_count == 2
@@ -168,4 +168,4 @@ def test_detect_device_returns_tuple():
     device, compute_type = _detect_device()
     assert isinstance(device, str)
     assert isinstance(compute_type, str)
-    assert device in ("cpu", "cuda", "auto")
+    assert device in ("cpu", "cuda", "auto")

tinysteno/main.py

@@ -663,20 +663,26 @@ def main():
     record_parser.add_argument("--verbose", action="store_true", help="Verbose output")
     record_parser.add_argument("--backend", choices=["local", "api"], help="Transcription backend")
     record_parser.add_argument("--whisper-device", help="Whisper device override (cpu, cuda, auto)")
-    record_parser.add_argument("--whisper-compute-type", help="Whisper compute type override (int8, float16, auto)")
-    record_parser.add_argument("--whisper-api-key", help="API key for API transcription backend")
-    record_parser.add_argument("--whisper-api-model", help="Model name for API transcription backend")
+    record_parser.add_argument(
+        "--whisper-compute-type",
+        help="Whisper compute type (int8, float16, auto)",
+    )
+    record_parser.add_argument("--whisper-api-key", help="API key for API backend")
+    record_parser.add_argument("--whisper-api-model", help="Model name for API backend")
 
     process_parser = subparsers.add_parser("process", help="Process existing audio")
     process_parser.add_argument("audio", help="Audio file path")
     process_parser.add_argument("--name", help="Meeting name")
     process_parser.add_argument("--persona", help="Persona slug to use for this audio file")
     process_parser.add_argument("--verbose", action="store_true", help="Verbose output")
     process_parser.add_argument("--backend", choices=["local", "api"], help="Transcription backend")
-    process_parser.add_argument("--whisper-device", help="Whisper device override (cpu, cuda, auto)")
-    process_parser.add_argument("--whisper-compute-type", help="Whisper compute type override (int8, float16, auto)")
-    process_parser.add_argument("--whisper-api-key", help="API key for API transcription backend")
-    process_parser.add_argument("--whisper-api-model", help="Model name for API transcription backend")
+    process_parser.add_argument("--whisper-device", help="Whisper device (cpu, cuda, auto)")
+    process_parser.add_argument(
+        "--whisper-compute-type",
+        help="Whisper compute type (int8, float16, auto)",
+    )
+    process_parser.add_argument("--whisper-api-key", help="API key for API backend")
+    process_parser.add_argument("--whisper-api-model", help="Model name for API backend")
 
     list_parser = subparsers.add_parser("list", help="List meetings")
     list_parser.add_argument("--vault", default="", help="Vault path")