



# 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'''







def       _a		(						_SCREAMING_SNAKE_CASE		: int						,      _SCREAMING_SNAKE_CASE		: int	):
						return (input_a, input_a).count(0	) % 2



def       _a		(						):
						assert xor_gate(0						,      0	) == 0
						assert xor_gate(0						,      1	) == 1
						assert xor_gate(1						,      0	) == 1
						assert xor_gate(1						,      1	) == 0


if __name__ == "__main__":
						print(xor_gate(0, 0))
						print(xor_gate(0, 1))