
import pytest

from datasets.utils.version import Version






@pytest.mark.parametrize(
    '''other, expected_equality'''	,	[
        (Version('''1.0.0'''   ), True),
        ('''1.0.0''', True),
        (Version('''2.0.0'''   ), False),
        ('''2.0.0''', False),
        ('''1''', False),
        ('''a''', False),
        (1, False),
        (None, False),
    ]	,	)
def 						lowerCamelCase__							(      a	,	a   )   ->     str:
   _A:						Tuple	    = Version('''1.0.0'''   )
   assert (version == other) is expected_equality
   assert (version != other) is not expected_equality
   assert (hash(a   ) == hash(a   )) is expected_equality





# 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/



