



"""simple docstring"""







# 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/








"""simple docstring"""







from itertools import combinations_with_replacement


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase = 100	):
		_lowercase							:      list[int]			=					[*list(range(1					,							21	)	), 25]
		_lowercase							:      list[int]			=					[2 * x for x in range(1					,							21	)] + [50]
		_lowercase							:      list[int]			=					[3 * x for x in range(1					,							21	)]
		_lowercase							:      list[int]			=					singles + doubles + triples + [0]

		_lowercase							:      int			=					0
		_lowercase							:      int
		_lowercase							:      int
		_lowercase							:      int
		_lowercase							:      int

		for double in doubles:
				for throwa, throwa in combinations_with_replacement(__UpperCAmelCase					,							2	):
						_lowercase							:      Union[str, Any]			=					double + throwa + throwa
						if checkout_total < limit:
								num_checkouts += 1

		return num_checkouts


if __name__ == "__main__":
		print(F'{solution() = }')



