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benchflow
/
frontierphysics-pr25-evidence

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"omitted_channel": "",
**row,
}
for row in reference["curvature_candidates"]
],
*[
{
"record_type": "leave_one_out",
**row,
}
for row in reference["curvature_loo"]
],
]
assert len(submitted_profile) == len(expected_profile)
for actual_row, expected_row in zip(
submitted_profile,
expected_profile,
strict=True,
):
> assert (
actual_row["record_type"]
== expected_row["record_type"]
)
E AssertionError: assert 'candidate' == 'profile'
E
E - profile
E + candidate
test_outputs.py:2098: AssertionError
_________ test_scientific_figure_matches_submitted_series_fit_and_band _________
def test_scientific_figure_matches_submitted_series_fit_and_band() -> None:
_analysis, _slope_rows, _report = load_submission()
reference = independent_reference()
> image, manifest = load_figure()
^^^^^^^^^^^^^
test_outputs.py:2298:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_outputs.py:1501: in load_figure
manifest = normalize_figure_manifest(raw_manifest)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
manifest = {'height_px': 500, 'image_file': 'spectrum_figure.png', 'manifest': {'description': 'Three-panel electron energy spect...2.783059855787728, 'spectral_index_above': -2.006957865809967, 'spectral_index_below': -1.643885722022037}, ...}], ...}
def normalize_figure_manifest(
manifest: dict[str, object],
) -> dict[str, object]:
image = manifest.get(
"image",
manifest.get("image_pixel_dimensions"),
)
if image is None and (
"image_width_px" in manifest
or "image_height_px" in manifest
):
image = {
"width_px": manifest.get("image_width_px"),
"height_px": manifest.get("image_height_px"),
}
> assert isinstance(image, dict), (
"figure manifest must declare image pixel dimensions")
E AssertionError: figure manifest must declare image pixel dimensions
E assert False
E + where False = isinstance(None, dict)
test_outputs.py:1456: AssertionError
________________ test_adversarial_figure_shortcuts_are_rejected ________________
def test_adversarial_figure_shortcuts_are_rejected() -> None:
reference = independent_reference()
> image, manifest = load_figure()
^^^^^^^^^^^^^
test_outputs.py:2564:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_outputs.py:1501: in load_figure
manifest = normalize_figure_manifest(raw_manifest)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
manifest = {'height_px': 500, 'image_file': 'spectrum_figure.png', 'manifest': {'description': 'Three-panel electron energy spect...2.783059855787728, 'spectral_index_above': -2.006957865809967, 'spectral_index_below': -1.643885722022037}, ...}], ...}
def normalize_figure_manifest(
manifest: dict[str, object],
) -> dict[str, object]:
image = manifest.get(
"image",
manifest.get("image_pixel_dimensions"),
)
if image is None and (
"image_width_px" in manifest
or "image_height_px" in manifest
):
image = {
"width_px": manifest.get("image_width_px"),
"height_px": manifest.get("image_height_px"),
}
> assert isinstance(image, dict), (