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