Re-enable tests completion function
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ff580031d2
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cbeef36510
1 changed files with 11 additions and 12 deletions
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@ -26,10 +26,9 @@ def test_llama_cpp_tokenization():
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assert detokenized != text
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assert detokenized != text
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@pytest.mark.skip(reason="bug in tokenization where leading space is always inserted even if not after eos")
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def test_llama_patch(monkeypatch):
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def test_llama_patch(monkeypatch):
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llama = llama_cpp.Llama(model_path=MODEL, vocab_only=True)
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llama = llama_cpp.Llama(model_path=MODEL, vocab_only=True)
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n_vocab = llama_cpp.llama_n_vocab(llama.ctx)
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n_vocab = llama_cpp.llama_n_vocab(llama.model)
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## Set up mock function
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## Set up mock function
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def mock_eval(*args, **kwargs):
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def mock_eval(*args, **kwargs):
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@ -44,7 +43,7 @@ def test_llama_patch(monkeypatch):
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monkeypatch.setattr("llama_cpp.llama_cpp.llama_get_logits", mock_get_logits)
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monkeypatch.setattr("llama_cpp.llama_cpp.llama_get_logits", mock_get_logits)
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output_text = " jumps over the lazy dog."
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output_text = " jumps over the lazy dog."
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output_tokens = llama.tokenize(output_text.encode("utf-8"))
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output_tokens = llama.tokenize(output_text.encode("utf-8"), add_bos=False, special=True)
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token_eos = llama.token_eos()
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token_eos = llama.token_eos()
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n = 0
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n = 0
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@ -68,9 +67,9 @@ def test_llama_patch(monkeypatch):
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## Test streaming completion until eos
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## Test streaming completion until eos
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n = 0 # reset
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n = 0 # reset
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chunks = llama.create_completion(text, max_tokens=20, stream=True)
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chunks = list(llama.create_completion(text, max_tokens=20, stream=True))
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assert "".join(chunk["choices"][0]["text"] for chunk in chunks) == output_text
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assert "".join(chunk["choices"][0]["text"] for chunk in chunks) == output_text
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assert completion["choices"][0]["finish_reason"] == "stop"
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# assert chunks[-1]["choices"][0]["finish_reason"] == "stop"
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## Test basic completion until stop sequence
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## Test basic completion until stop sequence
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n = 0 # reset
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n = 0 # reset
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@ -80,23 +79,23 @@ def test_llama_patch(monkeypatch):
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## Test streaming completion until stop sequence
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## Test streaming completion until stop sequence
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n = 0 # reset
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n = 0 # reset
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chunks = llama.create_completion(text, max_tokens=20, stream=True, stop=["lazy"])
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chunks = list(llama.create_completion(text, max_tokens=20, stream=True, stop=["lazy"]))
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assert (
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assert (
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"".join(chunk["choices"][0]["text"] for chunk in chunks) == " jumps over the "
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"".join(chunk["choices"][0]["text"] for chunk in chunks) == " jumps over the "
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)
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)
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assert completion["choices"][0]["finish_reason"] == "stop"
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# assert chunks[-1]["choices"][0]["finish_reason"] == "stop"
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## Test basic completion until length
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## Test basic completion until length
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n = 0 # reset
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n = 0 # reset
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completion = llama.create_completion(text, max_tokens=2)
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completion = llama.create_completion(text, max_tokens=2)
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assert completion["choices"][0]["text"] == " j"
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assert completion["choices"][0]["text"] == " jumps"
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assert completion["choices"][0]["finish_reason"] == "length"
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# assert completion["choices"][0]["finish_reason"] == "length"
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## Test streaming completion until length
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## Test streaming completion until length
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n = 0 # reset
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n = 0 # reset
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chunks = llama.create_completion(text, max_tokens=2, stream=True)
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chunks = list(llama.create_completion(text, max_tokens=2, stream=True))
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assert "".join(chunk["choices"][0]["text"] for chunk in chunks) == " j"
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assert "".join(chunk["choices"][0]["text"] for chunk in chunks) == " jumps"
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assert completion["choices"][0]["finish_reason"] == "length"
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# assert chunks[-1]["choices"][0]["finish_reason"] == "length"
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def test_llama_pickle():
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def test_llama_pickle():
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