in sdk/python/foundation-models/system/inference/text-generation/llama-files/score/default/score.py [0:0]
def iterate(obj):
if isinstance(obj, dict):
severity = 0
for key, value in obj.items():
obj[key], value_severity = iterate(value)
severity = max(severity, value_severity)
return obj, severity
elif isinstance(obj, list) or isinstance(obj, np.ndarray):
severity = 0
for idx in range(len(obj)):
obj[idx], value_severity = iterate(obj[idx])
severity = max(severity, value_severity)
return obj, severity
elif isinstance(obj, pd.DataFrame):
severity = 0
for i in range(obj.shape[0]): # iterate over rows
for j in range(obj.shape[1]): # iterate over columns
obj.at[i, j], value_severity = iterate(obj.at[i, j])
severity = max(severity, value_severity)
return obj, severity
elif isinstance(obj, str):
severity = analyze_text(obj)
if severity > aacs_threshold:
return "", severity
else:
return obj, severity
else:
return obj, 0