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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright (c) Sebastian Raschka under Apache License 2.0 (see LICENSE.txt).
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# Source for "Build a Large Language Model From Scratch"
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# - https://www.manning.com/books/build-a-large-language-model-from-scratch
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# Code: https://github.com/rasbt/LLMs-from-scratch
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# File for internal use (unit tests)
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from gpt import main
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expected = """
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==================================================
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IN
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==================================================
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Input text: Hello, I am
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Encoded input text: [15496, 11, 314, 716]
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encoded_tensor.shape: torch.Size([1, 4])
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==================================================
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OUT
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==================================================
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Output: tensor([[15496, 11, 314, 716, 27018, 24086, 47843, 30961, 42348, 7267,
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49706, 43231, 47062, 34657]])
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Output length: 14
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Output text: Hello, I am Featureiman Byeswickattribute argue logger Normandy Compton analogous
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"""
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def test_main(capsys):
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main()
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captured = capsys.readouterr()
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# Normalize line endings and strip trailing whitespace from each line
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normalized_expected = '\n'.join(line.rstrip() for line in expected.splitlines())
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normalized_output = '\n'.join(line.rstrip() for line in captured.out.splitlines())
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# Compare normalized strings
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assert normalized_output == normalized_expected
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