import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin






class 							_SCREAMING_SNAKE_CASE(   unittest.TestCase       ,      snake_case__	):
   def _lowercase(    self    )	->List[str]:
        a  :    Union[str, Any]				=						load_tool('''document-question-answering'''    )
        self.tool.setup()
        a  :    str				=						load_tool('''document-question-answering'''							,     remote=lowerCAmelCase_    )
   def _lowercase(    self    )	->Dict:
        a  :    Any				=						load_dataset('''hf-internal-testing/example-documents'''							,     split='''test'''    )
        a  :    Optional[int]				=						dataset[0]['''image''']

        a  :    Any				=						self.tool(lowerCAmelCase_							,     '''When is the coffee break?'''    )
        self.assertEqual(lowerCAmelCase_							,     '''11-14 to 11:39 a.m.'''    )
   def _lowercase(    self    )	->int:
        a  :    Optional[Any]				=						load_dataset('''hf-internal-testing/example-documents'''							,     split='''test'''    )
        a  :    Tuple				=						dataset[0]['''image''']

        a  :    Any				=						self.remote_tool(lowerCAmelCase_							,     '''When is the coffee break?'''    )
        self.assertEqual(lowerCAmelCase_							,     '''11-14 to 11:39 a.m.'''    )
   def _lowercase(    self    )	->List[str]:
        a  :    int				=						load_dataset('''hf-internal-testing/example-documents'''							,     split='''test'''    )
        a  :    Tuple				=						dataset[0]['''image''']

        self.tool(document=lowerCAmelCase_							,     question='''When is the coffee break?'''    )


   def _lowercase(    self    )	->Tuple:
        a  :    Tuple				=						load_dataset('''hf-internal-testing/example-documents'''							,     split='''test'''    )
        a  :    Optional[int]				=						dataset[0]['''image''']

        a  :    Optional[int]				=						self.remote_tool(document=lowerCAmelCase_							,     question='''When is the coffee break?'''    )
        self.assertEqual(lowerCAmelCase_							,     '''11-14 to 11:39 a.m.'''    )
# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    """--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000"""
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/