Revert "Merge remote-tracking branch 'upstream/master' into prompt"

This reverts commit 6e42088656, reversing
changes made to 4a59bb011d.

tests/conftest.py

@@ -11,8 +11,3 @@ def data_dir():
 @pytest.fixture
 def jfk_path(data_dir):
     return os.path.join(data_dir, "jfk.flac")
-
-
-@pytest.fixture
-def physcisworks_path(data_dir):
-    return os.path.join(data_dir, "physicsworks.wav")

tests/test_transcribe.py

@@ -1,6 +1,6 @@
 import os
 
-from faster_whisper import BatchedInferencePipeline, WhisperModel, decode_audio
+from faster_whisper import WhisperModel, decode_audio
 from faster_whisper.tokenizer import Tokenizer
 from faster_whisper.transcribe import get_suppressed_tokens
 
@@ -39,50 +39,6 @@ def test_transcribe(jfk_path):
     assert segment.text == "".join(word.word for word in segment.words)
     assert segment.start == segment.words[0].start
     assert segment.end == segment.words[-1].end
-    batched_model = BatchedInferencePipeline(model=model, use_vad_model=False)
-    result, info = batched_model.transcribe(jfk_path, word_timestamps=True)
-    assert info.language == "en"
-    assert info.language_probability > 0.7
-    segments = []
-    for segment in result:
-        segments.append(
-            {"start": segment.start, "end": segment.end, "text": segment.text}
-        )
-
-    assert len(segments) == 1
-    assert segment.text == (
-        " And so my fellow Americans ask not what your country can do for you, "
-        "ask what you can do for your country."
-    )
-
-
-def test_batched_transcribe(physcisworks_path):
-    model = WhisperModel("tiny")
-    batched_model = BatchedInferencePipeline(model=model)
-    result, info = batched_model.transcribe(physcisworks_path, batch_size=16)
-    assert info.language == "en"
-    assert info.language_probability > 0.7
-    segments = []
-    for segment in result:
-        segments.append(
-            {"start": segment.start, "end": segment.end, "text": segment.text}
-        )
-    # number of near 30 sec segments
-    assert len(segments) == 8
-
-    result, info = batched_model.transcribe(
-        physcisworks_path,
-        batch_size=16,
-        without_timestamps=False,
-        word_timestamps=True,
-    )
-    segments = []
-    for segment in result:
-        assert segment.words is not None
-        segments.append(
-            {"start": segment.start, "end": segment.end, "text": segment.text}
-        )
-    assert len(segments) > 8
 
 
 def test_prefix_with_timestamps(jfk_path):
@@ -145,13 +101,6 @@ def test_stereo_diarization(data_dir):
     assert transcription == "The horizon seems extremely distant."
 
 
-def test_multisegment_lang_id(physcisworks_path):
-    model = WhisperModel("tiny")
-    language_info = model.detect_language_multi_segment(physcisworks_path)
-    assert language_info["language_code"] == "en"
-    assert language_info["language_confidence"] > 0.8
-
-
 def test_suppressed_tokens_minus_1():
     model = WhisperModel("tiny.en")