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benchflow
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frontierphysics-pr25-evidence

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"pixel_bounds_top_left_origin",
panel.get("pixel_bounds"),
),
)
if isinstance(bounds, dict):
left = bounds.get("left")
top = bounds.get("top")
right = bounds.get("right")
bottom = bounds.get("bottom")
if right is None and left is not None:
right = float(left) + float(bounds.get("width"))
if bottom is None and top is not None:
bottom = float(top) + float(bounds.get("height"))
bounds = [left, top, right, bottom]
normalized["pixel_bounds_top_left"] = bounds
submitted_series = panel.get("series")
if submitted_series is None:
event_id = panel.get("event_id")
if {
"precursor",
"primary",
"quiet",
"bow_shock",
} <= set(effective_palette):
submitted_series = {
"precursor": {
"event_id": "precursor",
"x_field": "energy_kev",
"y_field": "transient_mean",
},
"primary": {
"event_id": "primary",
"x_field": "energy_kev",
"y_field": "transient_mean",
},
"quiet": {
"x_field": "energy_kev",
"y_field": "quiet_mean",
},
"bow_shock": {
"x_field": "energy_kev",
"y_field": "bow_shock_mean",
},
}
elif (
event_id in EVENT_IDS
and {"low_energy", "high_energy"}
<= set(effective_palette)
):
submitted_series = {
"low_energy": {
"x_field": "energy_kev",
"y_field": "transient_excess",
"selection": "used_in_fit",
},
"high_energy": {
"x_field": "energy_kev",
"y_field": "transient_excess",
"selection": "used_in_fit",
},
}
series: dict[str, dict[str, object]] = {}
if isinstance(submitted_series, dict):
items = submitted_series.items()
elif isinstance(submitted_series, list):
items = []
for declaration in submitted_series:
assert isinstance(declaration, dict), (
"figure manifest series entries must be objects")
submitted_name = declaration.get(
"name",
declaration.get("series_id"),
)
assert isinstance(submitted_name, str), (
"figure manifest series entries need a name")
items.append((submitted_name, declaration))
else:
> raise AssertionError(
"figure manifest panel series must be an object or list")
E AssertionError: figure manifest panel series must be an object or list
test_outputs.py:1102: 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:2154:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_outputs.py:1257: in load_figure
manifest = normalize_figure_manifest(raw_manifest)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
test_outputs.py:1237: in normalize_figure_manifest
normalize_panel(panel, palette)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
panel = {'axis_labels': {'x': 'Electron Energy (keV)', 'y': 'Differential Number Intensity (cm^-2 s^-1 sr^-1 keV^-1)'}, 'axis_...ock': '#277da1', 'precursor_transient': '#2a9d8f', 'primary_transient': '#7b2cbf', 'quiet_background': '#d1495b'}, ...}