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import string
import copy as cp
import os
from ..smp import *
def can_infer_option(answer, choices):
verbose = os.environ.get('VERBOSE', 0)
# Choices is a dictionary
if 'Failed to obtain answer via API' in answer:
return False
reject_to_answer = [
"Sorry, I can't help with images of people yet.",
"I can't process this file.",
"I'm sorry, but without the image provided",
'Cannot determine the answer'
]
for err in reject_to_answer:
if err in answer:
return 'Z'
def count_choice(splits, choices, prefix='', suffix=''):
cnt = 0
for c in choices:
if prefix + c + suffix in splits:
cnt += 1
return cnt
answer_mod = cp.copy(answer)
chars = '.()[],:;!*#{}'
for c in chars:
answer_mod = answer_mod.replace(c, ' ')
splits = [x.strip() for x in answer_mod.split()]
count = count_choice(splits, choices)
if count == 1:
for ch in choices:
if 'A' in splits and len(splits) > 3 and verbose:
logger = get_logger('Evaluation')
logger.info(f'A might be a quantifier in the string: {answer}.')
return False
if ch in splits:
return ch
elif count == 0 and count_choice(splits, {'Z', ''}) == 1:
return 'Z'
return False
def can_infer_text(answer, choices):
answer = answer.lower()
assert isinstance(choices, dict)
for k in choices:
assert k in string.ascii_uppercase
choices[k] = str(choices[k]).lower()
cands = []
for k in choices:
if choices[k] in answer:
cands.append(k)
if len(cands) == 1:
return cands[0]
return False
def can_infer(answer, choices):
answer = str(answer)
copt = can_infer_option(answer, choices)
return copt if copt else can_infer_text(answer, choices)
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