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import pytest |
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import markdown |
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from bs4 import BeautifulSoup |
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from compliance_checks import ( |
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ComputationalRequirementsCheck, ComputationalRequirementsResult, |
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) |
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empty_template = """\ |
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## Technical Specifications [optional] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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""" |
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model_card_template = """\ |
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# Model Card for Sample Model |
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## Technical Specifications |
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### Compute infrastructure |
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Jean Zay Public Supercomputer, provided by the French government. |
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#### Hardware |
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* 384 A100 80GB GPUs (48 nodes) |
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#### Software |
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* Megatron-DeepSpeed ([Github link](https://github.com/bigscience-workshop/Megatron-DeepSpeed)) |
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</details> |
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""" |
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success_result = ComputationalRequirementsResult( |
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status=True |
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) |
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@pytest.mark.parametrize("card", [ |
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model_card_template, |
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]) |
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def test_run_checks(card): |
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model_card_html = markdown.markdown(card) |
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card_soup = BeautifulSoup(model_card_html, features="html.parser") |
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results = ComputationalRequirementsCheck().run_check(card_soup) |
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assert results == success_result |
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def test_fail_on_empty_template(): |
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model_card_html = markdown.markdown(empty_template) |
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card_soup = BeautifulSoup(model_card_html, features="html.parser") |
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results = ComputationalRequirementsCheck().run_check(card_soup) |
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assert results == ComputationalRequirementsResult() |
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